1 00:00:00,080 --> 00:00:02,800 Speaker 1: Well, it turns out we were right. That happens sometimes, 2 00:00:02,800 --> 00:00:03,280 Speaker 1: doesn't it. 3 00:00:03,920 --> 00:00:07,440 Speaker 2: Yeah, And you know, the best of all worlds for us, Casey, 4 00:00:07,600 --> 00:00:12,080 Speaker 2: what's that is when we're proven right and. 5 00:00:11,960 --> 00:00:13,480 Speaker 1: We don't have to do any of the work to 6 00:00:13,520 --> 00:00:14,440 Speaker 1: prove ourselves right. 7 00:00:14,960 --> 00:00:17,159 Speaker 3: You know what. Ever, since this article came out, I 8 00:00:17,160 --> 00:00:19,600 Speaker 3: have had a certain Christmas song playing. 9 00:00:19,360 --> 00:00:21,280 Speaker 1: Over and over in my head. 10 00:00:22,079 --> 00:00:23,840 Speaker 3: You'll know what I'm talking about when we tell you 11 00:00:23,880 --> 00:00:26,360 Speaker 3: the title of the article featured in The Indie Star. 12 00:00:26,680 --> 00:00:31,200 Speaker 3: The Three Kings top IEDC official and his partners received 13 00:00:31,560 --> 00:00:35,600 Speaker 3: one hundred eighty million dollars in IEDC contracts. 14 00:00:35,680 --> 00:00:36,920 Speaker 1: All right, So it is. 15 00:00:36,880 --> 00:00:40,440 Speaker 2: By three members of The Indie Star, the Hailey Columbo 16 00:00:40,760 --> 00:00:43,320 Speaker 2: Kaylea Dwyer who have been on our show before. 17 00:00:43,840 --> 00:00:45,520 Speaker 1: MRSA Mader helped him as well. 18 00:00:46,080 --> 00:00:49,200 Speaker 2: And coming up at ten o'clock, Hailey Columbo and Kayla 19 00:00:49,240 --> 00:00:50,840 Speaker 2: Dwyer are going to be with us to talk about 20 00:00:50,840 --> 00:00:55,959 Speaker 2: this piece. This journalism should win all the awards. If 21 00:00:56,000 --> 00:01:00,600 Speaker 2: you do nothing else today, read this article because it 22 00:01:00,680 --> 00:01:03,480 Speaker 2: is so well done. Before we get to kind of 23 00:01:03,520 --> 00:01:05,479 Speaker 2: the meat of the article, I want to come back 24 00:01:05,480 --> 00:01:08,240 Speaker 2: to some I've talked about before. People are critical of 25 00:01:08,240 --> 00:01:10,360 Speaker 2: me sometimes on the right because it's like, oh, you're 26 00:01:10,360 --> 00:01:12,640 Speaker 2: friends with all these liberal Indie Star people to blah 27 00:01:12,680 --> 00:01:14,959 Speaker 2: blah blah, and I said, look, first of all, I 28 00:01:14,959 --> 00:01:16,760 Speaker 2: can be friends with anybody as long as they're honest 29 00:01:16,800 --> 00:01:22,280 Speaker 2: with me. But we need a thriving Indianapolis Star, the 30 00:01:22,319 --> 00:01:26,160 Speaker 2: city of Indianapolis, the people of Central Indiana should be 31 00:01:27,080 --> 00:01:32,600 Speaker 2: all cheering for the Star to thrive because their journalism 32 00:01:32,720 --> 00:01:39,160 Speaker 2: side oftentimes is excellent and we need eyes as many 33 00:01:39,240 --> 00:01:42,280 Speaker 2: eyes and ears on the ground as we can possibly get. 34 00:01:42,800 --> 00:01:45,039 Speaker 2: And the Star is still the paper record in the 35 00:01:45,080 --> 00:01:48,000 Speaker 2: city of Indianapolis. We need them thriving and doing good 36 00:01:48,080 --> 00:01:51,680 Speaker 2: work because they expose things like what we're about to 37 00:01:51,800 --> 00:01:54,920 Speaker 2: talk about. We're all on the same team, whether regardless 38 00:01:54,960 --> 00:01:58,520 Speaker 2: of our politics, of exposing what's going on in our government. 39 00:01:58,640 --> 00:02:02,240 Speaker 2: We should all be rooting for each other to be 40 00:02:02,360 --> 00:02:05,600 Speaker 2: succeeding if it comes to holding governments who go out 41 00:02:05,640 --> 00:02:07,520 Speaker 2: of their way to not be transparent accountable. 42 00:02:07,600 --> 00:02:08,360 Speaker 1: Yeah, exactly. 43 00:02:08,400 --> 00:02:10,960 Speaker 3: We don't need cheerleaders, right, we need people who are 44 00:02:10,960 --> 00:02:13,720 Speaker 3: going to dig through all of this and find out, 45 00:02:14,000 --> 00:02:16,680 Speaker 3: like what the ladies at the Indie Star did that 46 00:02:16,760 --> 00:02:19,520 Speaker 3: the IEDC awarded over one hundred and eighty million dollars 47 00:02:19,560 --> 00:02:23,400 Speaker 3: to entities connected to three influential insiders. 48 00:02:23,480 --> 00:02:23,679 Speaker 1: Yeah. 49 00:02:23,720 --> 00:02:29,000 Speaker 2: So basically what this article alleges is that, and it's 50 00:02:29,200 --> 00:02:33,040 Speaker 2: so well done. I mean, these these women probably spent 51 00:02:33,520 --> 00:02:36,080 Speaker 2: I mean I think they and will ask them when 52 00:02:36,080 --> 00:02:38,679 Speaker 2: they come on with this at ten months. Because the 53 00:02:38,720 --> 00:02:41,880 Speaker 2: problem with the IDC, the Indian Economic Development Corporation is 54 00:02:41,919 --> 00:02:45,040 Speaker 2: there what they we call quasi government entity, which means 55 00:02:45,040 --> 00:02:48,360 Speaker 2: and this is done deliberately so they can avoid giving 56 00:02:48,440 --> 00:02:52,120 Speaker 2: information that other government entities, other government agencies have to 57 00:02:52,160 --> 00:02:55,040 Speaker 2: give away. They can stall, they can deflect, they can 58 00:02:55,120 --> 00:02:57,320 Speaker 2: just not give it to you, and they have all 59 00:02:57,360 --> 00:02:59,480 Speaker 2: sorts of special rules they get to play by it. 60 00:02:59,520 --> 00:03:02,760 Speaker 2: So we have said for years now in this program 61 00:03:03,360 --> 00:03:06,880 Speaker 2: that the idea that we take money from poor and 62 00:03:06,919 --> 00:03:11,760 Speaker 2: middle class people and we give it through a quasi 63 00:03:11,800 --> 00:03:16,960 Speaker 2: government entity that avoids transparency and reporting requirements to some 64 00:03:17,000 --> 00:03:21,680 Speaker 2: of the richest, most powerful people sometimes companies in the 65 00:03:21,800 --> 00:03:25,120 Speaker 2: world or in the country or certainly here in Central 66 00:03:25,160 --> 00:03:30,040 Speaker 2: Indiana is ridiculous. And this article lays out how these 67 00:03:30,120 --> 00:03:34,760 Speaker 2: three guys dubbed the Three Kings basically to what the 68 00:03:34,800 --> 00:03:37,760 Speaker 2: Stars alleges is one hundred and eighty million dollars of 69 00:03:37,880 --> 00:03:42,640 Speaker 2: mostly taxpayer money, and they were able to control through 70 00:03:42,640 --> 00:03:47,160 Speaker 2: the IDC where that money went, and that money went 71 00:03:47,720 --> 00:03:51,880 Speaker 2: to companies that they were in control of or involved with, 72 00:03:52,400 --> 00:03:54,920 Speaker 2: or people that they were super close buddies with that 73 00:03:55,000 --> 00:03:57,800 Speaker 2: might come back and benefit them in some capacity. It 74 00:03:57,920 --> 00:04:04,920 Speaker 2: is egregious beyond belief. It is disgusting, and I would 75 00:04:04,920 --> 00:04:07,520 Speaker 2: say should be ashamed of themselves, but these people have 76 00:04:07,640 --> 00:04:08,160 Speaker 2: no shame. 77 00:04:09,000 --> 00:04:10,920 Speaker 1: And I think the worst part about it is. 78 00:04:10,840 --> 00:04:12,760 Speaker 2: Even though it's just been exposed for the whole world 79 00:04:12,840 --> 00:04:15,680 Speaker 2: to see, nothing's going to happen to these people, and 80 00:04:15,760 --> 00:04:18,440 Speaker 2: nothing meaningful will probably come of it. So one of the. 81 00:04:18,400 --> 00:04:21,320 Speaker 3: Things that the article highlights is that the Three Kings, 82 00:04:21,480 --> 00:04:25,840 Speaker 3: or the Three Musketeers as they're sometimes called. Their entities 83 00:04:25,880 --> 00:04:28,200 Speaker 3: linked to these three received one hundred and eighty million 84 00:04:28,279 --> 00:04:31,400 Speaker 3: dollars in awards over six years, plus twenty five percent 85 00:04:31,440 --> 00:04:34,280 Speaker 3: of all grants from the twenty first Century Research and 86 00:04:34,320 --> 00:04:37,880 Speaker 3: Technology Fund over a twenty six year period, plus no 87 00:04:38,040 --> 00:04:43,600 Speaker 3: bid contracts right, and also grant money seventeen point five 88 00:04:43,640 --> 00:04:44,679 Speaker 3: million dollars worth. 89 00:04:44,960 --> 00:04:48,159 Speaker 2: Yeah, I mean we're talking in some cases like actual dollars. 90 00:04:48,279 --> 00:04:52,000 Speaker 2: We're talking about like abatements or whatever where they you know, 91 00:04:52,040 --> 00:04:54,239 Speaker 2: you pay less than taxes over over time. 92 00:04:54,440 --> 00:04:56,480 Speaker 1: We're talking about real money in some cases. 93 00:04:56,680 --> 00:04:59,760 Speaker 3: Not only that, it seems to be some favoritism where 94 00:05:00,000 --> 00:05:04,960 Speaker 3: some other startups were excluded or squeezed out because they 95 00:05:04,960 --> 00:05:07,320 Speaker 3: didn't have the connection to the Three Kings. 96 00:05:07,480 --> 00:05:11,000 Speaker 2: Yeah, and this is your money. This is the state 97 00:05:11,720 --> 00:05:15,920 Speaker 2: taking money from you and giving it away to their buddies. 98 00:05:16,400 --> 00:05:19,320 Speaker 2: But they didn't have the guts or the cajones to 99 00:05:19,400 --> 00:05:22,440 Speaker 2: do it out in the sunshine, so they create this 100 00:05:22,680 --> 00:05:27,800 Speaker 2: convoluted soup that is the Indian Economic Development Corporation that 101 00:05:28,480 --> 00:05:34,760 Speaker 2: no reasonable person can understand or or track what's going on. 102 00:05:34,800 --> 00:05:38,160 Speaker 1: I mean, you got to really know what you're doing. 103 00:05:38,680 --> 00:05:40,400 Speaker 2: You know, one of the best guys at tracking this 104 00:05:40,560 --> 00:05:43,800 Speaker 2: is our our old pal Steven from Indie Reporter. Think 105 00:05:43,800 --> 00:05:46,520 Speaker 2: of the hours upon hours he spends digging into this. 106 00:05:47,040 --> 00:05:49,840 Speaker 2: I'm sure Kayla and Haley are gonna tell us from 107 00:05:49,880 --> 00:05:51,960 Speaker 2: the start it took them months to put this together. 108 00:05:52,279 --> 00:05:55,479 Speaker 2: No reasonable person has the ability to do this. Government 109 00:05:55,560 --> 00:05:58,520 Speaker 2: should be this simple. We spend it. You go here, 110 00:05:58,720 --> 00:06:02,800 Speaker 2: you look, you see, you understand where it went done, Siya. 111 00:06:02,839 --> 00:06:08,440 Speaker 2: But instead what we have is again this convoluted by design, 112 00:06:09,000 --> 00:06:13,920 Speaker 2: this convoluted mess in which some subcommittees are voting on this, 113 00:06:14,480 --> 00:06:16,120 Speaker 2: some subcommittees. 114 00:06:15,440 --> 00:06:16,040 Speaker 1: Are voting on that. 115 00:06:16,440 --> 00:06:19,880 Speaker 2: You have to really be on the ball to figure 116 00:06:19,880 --> 00:06:24,560 Speaker 2: out what's going on. And probably nothing's going to happen 117 00:06:24,640 --> 00:06:26,440 Speaker 2: to these people because they're probably going to be able 118 00:06:26,480 --> 00:06:27,240 Speaker 2: to say, well. 119 00:06:27,120 --> 00:06:29,599 Speaker 1: By the letter of the law or by. 120 00:06:29,440 --> 00:06:32,799 Speaker 2: The system we had set up, these guys were checking 121 00:06:32,880 --> 00:06:37,120 Speaker 2: all the boxes when we all know that we deserve 122 00:06:37,400 --> 00:06:40,520 Speaker 2: much better in terms of knowing one how are money 123 00:06:40,600 --> 00:06:45,760 Speaker 2: spent and two how are the results of what happened 124 00:06:45,760 --> 00:06:46,720 Speaker 2: for that money being spent. 125 00:06:46,880 --> 00:06:49,200 Speaker 3: Yeah, so a lot of critics are questioning whether the 126 00:06:49,240 --> 00:06:52,880 Speaker 3: awards were based on relationships rather than merit, and based 127 00:06:52,920 --> 00:06:56,080 Speaker 3: on this reporting, it seems to be somewhat clear, but 128 00:06:56,360 --> 00:07:01,360 Speaker 3: it does make you question the impact on Indiana taxpayers 129 00:07:01,440 --> 00:07:02,839 Speaker 3: and other startups. 130 00:07:02,920 --> 00:07:05,039 Speaker 2: Well, and I've said this numerous times and I'll say 131 00:07:05,040 --> 00:07:09,760 Speaker 2: it again, the Indian Economic Development Corporation is a glorified 132 00:07:10,120 --> 00:07:14,600 Speaker 2: money laundering scheme. They do things that if regular people 133 00:07:14,720 --> 00:07:17,400 Speaker 2: did them, like, this is what I can't get my 134 00:07:17,480 --> 00:07:20,920 Speaker 2: mind around, especially after they're do this Indie Star report 135 00:07:21,000 --> 00:07:23,800 Speaker 2: came to light as an elected official like a local 136 00:07:23,800 --> 00:07:24,640 Speaker 2: elected official. 137 00:07:25,400 --> 00:07:25,960 Speaker 1: If you. 138 00:07:27,720 --> 00:07:30,040 Speaker 2: Have a project or a vote that comes in front 139 00:07:30,040 --> 00:07:34,120 Speaker 2: of you that you have some financial interest in, you 140 00:07:34,120 --> 00:07:36,880 Speaker 2: have to fill out a conflict of interest form and 141 00:07:36,920 --> 00:07:38,440 Speaker 2: recuse yourself from voting. 142 00:07:39,160 --> 00:07:40,920 Speaker 1: How did these guys. 143 00:07:41,360 --> 00:07:43,880 Speaker 2: When you've got one hundred and eighty million according to 144 00:07:43,920 --> 00:07:47,800 Speaker 2: the Star, how were they able to funnel all this 145 00:07:48,040 --> 00:07:50,960 Speaker 2: money to all these different projects or groups or whatever, 146 00:07:51,320 --> 00:07:55,600 Speaker 2: much of it benefiting them? How is that legal? How 147 00:07:55,680 --> 00:07:58,480 Speaker 2: is that okay? And that's what I said. These people 148 00:07:58,520 --> 00:08:01,000 Speaker 2: do in the government or government related into these or 149 00:08:01,040 --> 00:08:03,880 Speaker 2: agencies that if anybody else did it, they go to prison. 150 00:08:04,080 --> 00:08:06,280 Speaker 2: But because it's the government and it's no different than 151 00:08:06,320 --> 00:08:08,400 Speaker 2: the inside or trading stuff that goes on in Washington. 152 00:08:09,000 --> 00:08:11,240 Speaker 2: If you or I did what those congress people do, 153 00:08:11,480 --> 00:08:14,400 Speaker 2: we'd go to federal prison. But somehow they're able to 154 00:08:14,400 --> 00:08:16,800 Speaker 2: do it and make it gajillion dollars in it's just fine. 155 00:08:16,840 --> 00:08:19,880 Speaker 2: So I want to know how it's legal or okay 156 00:08:20,560 --> 00:08:25,200 Speaker 2: that these guys controlled where money went, much of it 157 00:08:25,280 --> 00:08:28,440 Speaker 2: benefiting them or things they're associated with, and that's okay, 158 00:08:28,760 --> 00:08:29,680 Speaker 2: that's just fine. 159 00:08:29,760 --> 00:08:32,360 Speaker 3: Well, we know a few months ago, Governor Brawn said 160 00:08:32,400 --> 00:08:36,319 Speaker 3: that he wanted an audit done of IEDC. So I'm curious, 161 00:08:36,480 --> 00:08:40,240 Speaker 3: is he going to find systemic issues with the structure 162 00:08:40,240 --> 00:08:43,760 Speaker 3: of the IEDC or is he going to find problems 163 00:08:43,800 --> 00:08:48,440 Speaker 3: with specific individuals and what sort of reforms will be 164 00:08:48,520 --> 00:08:50,679 Speaker 3: put in place based on what he finds. 165 00:08:50,840 --> 00:08:53,000 Speaker 2: Okay, so we get this is the other part that 166 00:08:53,000 --> 00:08:55,000 Speaker 2: came out of this. Okay, let's take a break because 167 00:08:55,160 --> 00:08:57,719 Speaker 2: this and we hate to do two segments of ro 168 00:08:57,720 --> 00:08:58,720 Speaker 2: own kind of the same stuff. 169 00:08:58,760 --> 00:09:00,240 Speaker 1: But this is so big. 170 00:09:00,760 --> 00:09:03,760 Speaker 2: This issue is everything we tell you about on this 171 00:09:03,840 --> 00:09:08,480 Speaker 2: show every single day about who the and it's the Republicans. Again, 172 00:09:09,280 --> 00:09:13,240 Speaker 2: the Republicans control everything. This is the Republican governor's republic. 173 00:09:13,360 --> 00:09:15,360 Speaker 2: You know, not all these people Republican appointees, but I 174 00:09:15,360 --> 00:09:18,520 Speaker 2: mean they control the legislature that funds the IDC. 175 00:09:19,520 --> 00:09:21,920 Speaker 1: This is what rob is so mean to the Republicans 176 00:09:22,120 --> 00:09:26,160 Speaker 1: because they do this right. Okay. 177 00:09:26,200 --> 00:09:30,040 Speaker 2: So Braun came out and announced that that forensic audit 178 00:09:30,120 --> 00:09:32,920 Speaker 2: of the IDC is complete, and I don't want to 179 00:09:32,920 --> 00:09:35,640 Speaker 2: get into that for a little bit because this whole thing, 180 00:09:36,160 --> 00:09:40,440 Speaker 2: it's so much money, it's so rotten, stinks, it's awful. 181 00:09:40,480 --> 00:09:42,200 Speaker 1: So let's talk about that when we come back you're 182 00:09:42,200 --> 00:09:45,480 Speaker 1: listening to Kennel and Casey. It is ninety three WIBC. 183 00:09:50,920 --> 00:09:53,600 Speaker 2: I'm calling it now, case what are you They're not 184 00:09:53,559 --> 00:09:56,000 Speaker 2: gonna let anybody go down in this IADC report. 185 00:09:56,160 --> 00:09:57,000 Speaker 1: No, of course not. 186 00:09:57,480 --> 00:09:59,319 Speaker 3: It's just changes for the future. 187 00:09:59,440 --> 00:10:02,120 Speaker 2: Yeah, I'm calling it right now. It's Kennel and Casey Show. 188 00:10:02,240 --> 00:10:05,960 Speaker 2: Rob Casey's here. So obviously we began the program today 189 00:10:06,040 --> 00:10:08,520 Speaker 2: talking about this phenomenal report in the Indie Star about 190 00:10:08,520 --> 00:10:14,319 Speaker 2: these three guys who essentially dictated where one hundred and 191 00:10:14,360 --> 00:10:18,120 Speaker 2: eighty million dollars of mostly our money went, and it 192 00:10:18,160 --> 00:10:23,000 Speaker 2: went to them and things they're affiliated with and things 193 00:10:23,000 --> 00:10:26,360 Speaker 2: that could affiliate back to them, and it's everything we've 194 00:10:26,360 --> 00:10:30,640 Speaker 2: been telling you conflict. The id C is a rotten, 195 00:10:31,280 --> 00:10:36,959 Speaker 2: rotten organization. It is a glorified money laundering operation in 196 00:10:37,360 --> 00:10:41,800 Speaker 2: many capacities. And if anybody but the government were doing 197 00:10:41,840 --> 00:10:44,360 Speaker 2: what the IDC is doing, they they'd go to prison 198 00:10:44,520 --> 00:10:46,000 Speaker 2: and they and they get away with it because they're 199 00:10:46,000 --> 00:10:47,520 Speaker 2: the government. They write the rules, and they can write 200 00:10:47,520 --> 00:10:49,720 Speaker 2: it however they want, and they can set it up 201 00:10:49,720 --> 00:10:50,360 Speaker 2: however they want. 202 00:10:50,440 --> 00:10:51,960 Speaker 1: So the governor. 203 00:10:53,120 --> 00:10:57,000 Speaker 2: Feigning outrage over this, and look, I say that because 204 00:10:57,679 --> 00:11:01,320 Speaker 2: when he put the new IDC board in Economic Development Corporation. 205 00:11:01,960 --> 00:11:04,480 Speaker 2: What they do they approved the first being they approved 206 00:11:04,679 --> 00:11:07,800 Speaker 2: incentives for four more data centers, which is exactly the 207 00:11:08,000 --> 00:11:11,440 Speaker 2: status quo what they've been doing. So I don't exactly 208 00:11:11,520 --> 00:11:15,800 Speaker 2: believe that the governor is up in arms over the 209 00:11:15,840 --> 00:11:19,760 Speaker 2: behavior the IEDC, and especially when you figure out look 210 00:11:19,920 --> 00:11:22,640 Speaker 2: same reason nobody in Staate alse to go after Diego Morales, 211 00:11:22,679 --> 00:11:23,520 Speaker 2: the Secretary of State. 212 00:11:23,720 --> 00:11:24,680 Speaker 1: Everybody knows what he is. 213 00:11:24,840 --> 00:11:28,800 Speaker 2: Everybody knows what an unethical, corrupt, rotten person Diego Morales is. 214 00:11:28,840 --> 00:11:31,400 Speaker 2: They know what a dirty person he is. But so 215 00:11:31,480 --> 00:11:35,680 Speaker 2: much of the money that touches Diego everyone else. They're 216 00:11:35,679 --> 00:11:38,040 Speaker 2: not going to cut that spicket off. They're not gonna 217 00:11:38,120 --> 00:11:40,560 Speaker 2: let that go down. They'll deal with him. Maybe we 218 00:11:40,640 --> 00:11:42,480 Speaker 2: get lucky and beat him in a primary, and if not, 219 00:11:42,760 --> 00:11:44,840 Speaker 2: we don't really care because we're. 220 00:11:44,679 --> 00:11:48,000 Speaker 1: Not gonna nobody's gonna do anything about it. Anyway. It's 221 00:11:48,000 --> 00:11:49,960 Speaker 1: sort of the same thing here. Nobody's going to go 222 00:11:50,040 --> 00:11:50,920 Speaker 1: down for any. 223 00:11:50,720 --> 00:11:54,679 Speaker 2: Of this behavior because the money these guys, many of 224 00:11:54,720 --> 00:11:57,880 Speaker 2: these guys are so influential and they have the ability 225 00:11:57,920 --> 00:12:03,640 Speaker 2: to dictate so much donations, et cetera. From various sources. 226 00:12:04,679 --> 00:12:08,160 Speaker 2: They might get a stern lecture, maybe. 227 00:12:08,120 --> 00:12:11,880 Speaker 1: Possibly a fine for ethics, who knows. 228 00:12:12,000 --> 00:12:15,040 Speaker 2: I mean, you don't like but if you think that 229 00:12:15,080 --> 00:12:18,000 Speaker 2: there's gonna be this forensic audit which is done apparently 230 00:12:18,000 --> 00:12:18,680 Speaker 2: of the IEDC. 231 00:12:19,160 --> 00:12:20,480 Speaker 1: Yeah, the IDC. 232 00:12:20,600 --> 00:12:23,520 Speaker 3: They're going to release the results of that forensic audit, 233 00:12:23,880 --> 00:12:25,200 Speaker 3: expected late next week. 234 00:12:25,280 --> 00:12:27,559 Speaker 2: Yeah, it's some sort of legal review. And we look, 235 00:12:27,559 --> 00:12:30,800 Speaker 2: we've been again. Look, don't doubt us. We've been telling 236 00:12:30,800 --> 00:12:32,959 Speaker 2: you this for months now. There's somebody thought there was 237 00:12:33,000 --> 00:12:35,840 Speaker 2: gonna be some smoking gun where some high level person 238 00:12:35,920 --> 00:12:37,559 Speaker 2: is going to go down as a result of this audit. 239 00:12:38,000 --> 00:12:41,760 Speaker 2: You're dreaming, you're dreaming. They want you to think they've 240 00:12:41,760 --> 00:12:44,720 Speaker 2: addressed the issue. They want you to think they fix 241 00:12:44,800 --> 00:12:47,720 Speaker 2: the issue. And sure, they may make some cosmetic changes, 242 00:12:47,800 --> 00:12:50,760 Speaker 2: but nothing's actually going to change because the whole premise 243 00:12:50,800 --> 00:12:54,920 Speaker 2: of the thing, the whole premise of the IEDC, is rotten. 244 00:12:55,360 --> 00:12:59,959 Speaker 2: It cannot be truly fixed as long as it exists 245 00:13:00,120 --> 00:13:02,440 Speaker 2: in the fashion which it does, and they're not going 246 00:13:02,520 --> 00:13:05,440 Speaker 2: to let it not exist in that fact, because it's 247 00:13:06,120 --> 00:13:10,640 Speaker 2: a giveaway to what do you call it when connected 248 00:13:10,720 --> 00:13:15,920 Speaker 2: people get stuff from the government and then in turn 249 00:13:15,960 --> 00:13:17,880 Speaker 2: they take a portion of that stuff and they give 250 00:13:17,920 --> 00:13:23,200 Speaker 2: it back through donations, et cetera to the people. Well, right, 251 00:13:23,240 --> 00:13:25,400 Speaker 2: I mean that's like, that's what's That's exactly what's going 252 00:13:25,400 --> 00:13:27,960 Speaker 2: on here. And they're not going to do anything about that. 253 00:13:28,000 --> 00:13:30,720 Speaker 2: And the politicians certainly are going to cut the spigot off. 254 00:13:31,080 --> 00:13:34,439 Speaker 2: And it's so you're dreaming and we've been saying that 255 00:13:34,480 --> 00:13:37,839 Speaker 2: from the beginning, and whatever changes they implement may look 256 00:13:37,920 --> 00:13:40,520 Speaker 2: nice on paper, but they're not going to actually stop. 257 00:13:40,880 --> 00:13:44,120 Speaker 2: How ridiculous the whole premise of this organization is. 258 00:13:44,320 --> 00:13:46,760 Speaker 3: So let's talk about these changes that they're flushing out. 259 00:13:46,800 --> 00:13:50,559 Speaker 3: The Commerce Secretary David Adams, he said that our mission 260 00:13:50,640 --> 00:13:54,600 Speaker 3: remains unchanged, but our approach is new a bingo. 261 00:13:54,760 --> 00:13:58,160 Speaker 2: Right, So the mission? What is the mission? What is 262 00:13:58,200 --> 00:14:00,680 Speaker 2: the What is the mission? And I will ask this 263 00:14:01,400 --> 00:14:03,680 Speaker 2: until somebody can provide me an answer, which nobody can. 264 00:14:04,440 --> 00:14:07,480 Speaker 1: If all of this investment. 265 00:14:07,200 --> 00:14:11,400 Speaker 2: Quote quote in startups or small business and all these 266 00:14:11,440 --> 00:14:13,599 Speaker 2: mega corps and all this money that's gone out the 267 00:14:13,600 --> 00:14:15,160 Speaker 2: wind was so great, why have our tax has never 268 00:14:15,200 --> 00:14:18,240 Speaker 2: been higher? If all this Indian is such a great 269 00:14:18,280 --> 00:14:21,120 Speaker 2: state to live, work and play, and everybody wants to 270 00:14:21,120 --> 00:14:22,920 Speaker 2: be here, then why are we giving away all this money? 271 00:14:23,400 --> 00:14:27,240 Speaker 2: And if the giveaways are so necessary, why is the 272 00:14:27,320 --> 00:14:30,840 Speaker 2: tax ask the taxes that are paid by us, the citizens, 273 00:14:31,080 --> 00:14:32,160 Speaker 2: why have they never been highed? 274 00:14:32,280 --> 00:14:35,560 Speaker 1: When does the benefit start showing up? That's the question. 275 00:14:35,600 --> 00:14:41,840 Speaker 3: When's the return on investment? It varies between startup and startup? Right, So, 276 00:14:41,880 --> 00:14:44,200 Speaker 3: the Commerce Secretary said that we're going to go from 277 00:14:44,240 --> 00:14:49,400 Speaker 3: transactional to transformational. And Governor Brown stated that the AUTO 278 00:14:49,480 --> 00:14:54,520 Speaker 3: confirm the need for increased transparency and accountability, and we're 279 00:14:54,560 --> 00:14:57,720 Speaker 3: going to be implementing new policies and controls to make 280 00:14:57,760 --> 00:14:58,320 Speaker 3: that happen. 281 00:14:58,720 --> 00:15:00,880 Speaker 2: Right, Okay, let's take a break, come back, We're gona 282 00:15:00,880 --> 00:15:03,800 Speaker 2: have a fascinating conversation with doctor Jim Dalton. He is 283 00:15:03,800 --> 00:15:08,920 Speaker 2: the CEO of Daymar and Daymar has helped thousands of 284 00:15:09,000 --> 00:15:14,120 Speaker 2: people in the state of Indiana who are suffering with autism. 285 00:15:14,440 --> 00:15:17,880 Speaker 2: And they know, pun Intendent. They span the spectrum right 286 00:15:17,960 --> 00:15:21,080 Speaker 2: from people who just need, you know, maybe help paying 287 00:15:21,120 --> 00:15:24,120 Speaker 2: their bills, to people who need help with every fast 288 00:15:24,160 --> 00:15:28,000 Speaker 2: of their existence. And so, in light of the announcement 289 00:15:28,080 --> 00:15:31,720 Speaker 2: that came out from the President and Robert F. Kennedy 290 00:15:31,800 --> 00:15:36,120 Speaker 2: Junior about tailanol, it's curious how the folks that Daymar 291 00:15:36,240 --> 00:15:39,680 Speaker 2: are dealing with that announcement. What are the families that 292 00:15:39,840 --> 00:15:42,320 Speaker 2: utilize their services, how are they responding to it? 293 00:15:42,360 --> 00:15:44,280 Speaker 1: And let's try to make some. 294 00:15:44,440 --> 00:15:49,640 Speaker 2: Sense of why these autism diagnoses have increased so much 295 00:15:49,680 --> 00:15:50,320 Speaker 2: over the years. 296 00:15:50,480 --> 00:15:54,080 Speaker 3: Doctor Jim Dalton joins us. Next on ninety three WIBC, 297 00:16:01,360 --> 00:16:02,000 Speaker 3: you went on. 298 00:16:03,800 --> 00:16:06,800 Speaker 1: You know, Casey, Obviously, there's been a lot of talk in. 299 00:16:06,680 --> 00:16:11,280 Speaker 2: This country right now about autism, and this one front 300 00:16:11,320 --> 00:16:12,840 Speaker 2: and center again the other day when the President of 301 00:16:12,840 --> 00:16:15,400 Speaker 2: the United States, along with Robert F. Kennedy Junior, came 302 00:16:15,400 --> 00:16:17,600 Speaker 2: out with this big announcement about tile and all and 303 00:16:17,640 --> 00:16:22,240 Speaker 2: its potental links to autism in young kids. And I thought, well, 304 00:16:22,440 --> 00:16:24,680 Speaker 2: let's kind of let's kind of talk to an expert 305 00:16:24,760 --> 00:16:26,840 Speaker 2: about this. Somebody who has spent a lot of their 306 00:16:26,880 --> 00:16:30,640 Speaker 2: life dealing with autism and people with autism, and most 307 00:16:30,720 --> 00:16:34,080 Speaker 2: morely helping people with autism. That's doctor Jim Dalton. He 308 00:16:34,160 --> 00:16:37,040 Speaker 2: is the CEO of Daymar Services right here in Indiana. 309 00:16:37,120 --> 00:16:39,800 Speaker 2: They help thousands of people and have helped thousands of 310 00:16:39,800 --> 00:16:43,000 Speaker 2: people impacted by autism. Doctor Jim Dalton joins us Now, 311 00:16:43,000 --> 00:16:44,240 Speaker 2: Doctor Jim, Hello. 312 00:16:44,680 --> 00:16:47,200 Speaker 4: Hello and thanks for the opportunity to talk today. 313 00:16:47,320 --> 00:16:47,520 Speaker 1: Yeah. 314 00:16:47,560 --> 00:16:49,800 Speaker 2: Absolutely, and we always like to say this dam Our 315 00:16:49,840 --> 00:16:52,360 Speaker 2: Services is a sponsor of our State House Happenings program, 316 00:16:52,360 --> 00:16:55,600 Speaker 2: which airs Sunday mornings here on WIBC. So, Jim, you 317 00:16:55,680 --> 00:16:58,320 Speaker 2: heard the announcement the other day and again when these 318 00:16:58,320 --> 00:17:01,320 Speaker 2: things happened, there's all sorts of conflict information. I don't 319 00:17:01,320 --> 00:17:05,480 Speaker 2: think anybody's coming from a position of anything but wanting 320 00:17:05,520 --> 00:17:08,600 Speaker 2: to help you. As somebody who spent a long time 321 00:17:08,800 --> 00:17:10,520 Speaker 2: trying to help people and running a company that's helped 322 00:17:10,520 --> 00:17:13,360 Speaker 2: people with autism, what was your reaction to the President 323 00:17:13,359 --> 00:17:14,840 Speaker 2: and the RFK Junior announcement. 324 00:17:15,800 --> 00:17:18,639 Speaker 4: Well, yeah, it's been an interesting week. As you know, 325 00:17:18,720 --> 00:17:21,160 Speaker 4: we serve a lot of kids and adults with autism. 326 00:17:21,200 --> 00:17:24,600 Speaker 4: So I've received lots of phone calls this week from 327 00:17:24,760 --> 00:17:28,560 Speaker 4: colleagues and of course from parents. And I was actually 328 00:17:28,560 --> 00:17:31,080 Speaker 4: talking to my board last night and they said, hey, Jim, 329 00:17:31,240 --> 00:17:33,800 Speaker 4: can you talk to us about this announcement from the 330 00:17:33,800 --> 00:17:36,320 Speaker 4: White House and can you talk about it in a 331 00:17:36,359 --> 00:17:38,359 Speaker 4: non political way? And I, of course we giggled and 332 00:17:38,359 --> 00:17:40,840 Speaker 4: I said, I'm not sure I can do that. But interestingly, 333 00:17:41,480 --> 00:17:45,520 Speaker 4: a lot of my colleagues, just as you know, you know, 334 00:17:45,560 --> 00:17:48,639 Speaker 4: I expect it just actually kind of rejected the information 335 00:17:48,720 --> 00:17:50,320 Speaker 4: that came out of the White House just because it 336 00:17:50,440 --> 00:17:53,359 Speaker 4: came out of the White House. And others, of course, 337 00:17:53,400 --> 00:17:55,600 Speaker 4: are concerned, and I have a lot of parents call 338 00:17:55,680 --> 00:17:58,399 Speaker 4: and say, oh gosh, did I do something wrong, and 339 00:17:58,680 --> 00:18:00,520 Speaker 4: you know, a lot of guilt and different things like that. 340 00:18:00,600 --> 00:18:03,800 Speaker 4: But what I did was I reminded everyone that, you know, 341 00:18:03,840 --> 00:18:05,600 Speaker 4: what came out of the White House is really not 342 00:18:05,680 --> 00:18:09,600 Speaker 4: any new information. I mean, we've known for a long time. 343 00:18:09,720 --> 00:18:13,800 Speaker 4: There's been studies and some general reputable studies that have 344 00:18:13,920 --> 00:18:18,200 Speaker 4: talked about the associated risk of increased risks for autism 345 00:18:18,240 --> 00:18:20,639 Speaker 4: based on different things. One of them has been the 346 00:18:20,720 --> 00:18:24,160 Speaker 4: use of the seed of medicine during pregnancy. Right, So, 347 00:18:24,359 --> 00:18:28,280 Speaker 4: I think the important thing to know is that while 348 00:18:28,320 --> 00:18:31,720 Speaker 4: there's increased risks with that, and there's research that said that, hey, 349 00:18:31,720 --> 00:18:35,080 Speaker 4: there may be some association here, there's been not one 350 00:18:35,280 --> 00:18:38,600 Speaker 4: single study ever done that is said that that is 351 00:18:38,880 --> 00:18:43,280 Speaker 4: causing autism. No vaccines, there's no studies to say that 352 00:18:43,359 --> 00:18:46,840 Speaker 4: has caused autism. But there is some increasing risks there 353 00:18:46,880 --> 00:18:49,760 Speaker 4: that I think we should just acknowledge that. You know, 354 00:18:49,800 --> 00:18:52,840 Speaker 4: there's also studies that have done seen increasing risks with 355 00:18:52,920 --> 00:18:56,880 Speaker 4: other things too, like for example, older mothers. 356 00:18:57,640 --> 00:18:58,960 Speaker 1: You have babies older. 357 00:18:58,640 --> 00:19:01,399 Speaker 4: In life, then you have an risks. We've seen studies 358 00:19:01,480 --> 00:19:05,160 Speaker 4: that support that infections during pregnancy there's an increased risk, 359 00:19:05,200 --> 00:19:08,840 Speaker 4: birth complications, there's an increased risk. So I think the 360 00:19:08,920 --> 00:19:12,560 Speaker 4: precautionary statement out of the White House is there's nothing 361 00:19:12,600 --> 00:19:14,960 Speaker 4: wrong with that, and I think it's actually probably good. 362 00:19:14,960 --> 00:19:18,560 Speaker 4: But it's nothing new as far back to twenty twenty one, 363 00:19:19,200 --> 00:19:21,080 Speaker 4: you know, I think there are a lot of cohort 364 00:19:21,160 --> 00:19:25,080 Speaker 4: large studies that basically said, hey, there is some issues here, 365 00:19:25,160 --> 00:19:28,760 Speaker 4: let's be let's use some cautions here. So that's kind 366 00:19:28,800 --> 00:19:31,320 Speaker 4: of how it's gone difficult to get out of the 367 00:19:31,320 --> 00:19:33,879 Speaker 4: political realm when things come from this White House. But 368 00:19:34,720 --> 00:19:37,920 Speaker 4: so I think we should just pay attention and continue 369 00:19:37,920 --> 00:19:39,440 Speaker 4: to go forward with good research. 370 00:19:39,600 --> 00:19:42,320 Speaker 2: Doctor Jim Dalton is our guests, the's CEO of Daimar Services. 371 00:19:42,320 --> 00:19:45,200 Speaker 2: We're talking about autism and obviously DeMar one of the 372 00:19:45,320 --> 00:19:48,320 Speaker 2: leading organizations here in the state of Indiana helping people 373 00:19:48,480 --> 00:19:52,479 Speaker 2: with autism. Does that announcement the other day, is it 374 00:19:52,680 --> 00:19:56,760 Speaker 2: helpful for guys like you and companies like yours, because 375 00:19:56,800 --> 00:20:00,199 Speaker 2: your goal is, hey, no matter what's causing it. We 376 00:20:00,240 --> 00:20:04,080 Speaker 2: want to help people live more productive, independent lives. And again, 377 00:20:04,119 --> 00:20:06,200 Speaker 2: I think the President and I think RFK Junior, I 378 00:20:06,200 --> 00:20:08,240 Speaker 2: think they're coming from a point of trying to help. 379 00:20:08,440 --> 00:20:10,520 Speaker 2: But for the boots on the ground, is an announcement 380 00:20:10,640 --> 00:20:14,280 Speaker 2: like that yesterday helpful for the folks who are helping 381 00:20:14,480 --> 00:20:16,240 Speaker 2: people in real time with autism? 382 00:20:16,760 --> 00:20:18,840 Speaker 4: Yeah, I say mostly yes. I mean one of the 383 00:20:18,840 --> 00:20:21,640 Speaker 4: things I talked to my board about last night was, Hey, 384 00:20:21,960 --> 00:20:26,080 Speaker 4: the urgency to which the White Houses acknowledge this is 385 00:20:26,440 --> 00:20:28,800 Speaker 4: something that we should be happy about. You know, we've 386 00:20:29,040 --> 00:20:32,600 Speaker 4: been studying this for years and spent billions of dollars 387 00:20:32,680 --> 00:20:34,920 Speaker 4: on it. It's come back up. Oh, it's always been 388 00:20:34,960 --> 00:20:37,640 Speaker 4: a high priority, but it's come back up as something 389 00:20:37,640 --> 00:20:40,159 Speaker 4: that we're emphasizing more. You know, an announcement from the 390 00:20:40,160 --> 00:20:43,240 Speaker 4: White House always gets kind of the engines running. So 391 00:20:43,480 --> 00:20:46,720 Speaker 4: I do think that it's helpful, and we appreciate the urgency, 392 00:20:47,640 --> 00:20:51,080 Speaker 4: the awareness and the struggles that families have and how 393 00:20:51,080 --> 00:20:55,040 Speaker 4: this has changed their lives unexpectedly and the things that 394 00:20:55,080 --> 00:20:58,199 Speaker 4: they go through with school age children, and you know, 395 00:20:58,280 --> 00:21:01,320 Speaker 4: the systems that are struggling with the behavior health symptoms, 396 00:21:01,359 --> 00:21:04,720 Speaker 4: the ABA clinics, the schools that are trying to manage 397 00:21:04,760 --> 00:21:08,200 Speaker 4: these children and their special needs is just something that 398 00:21:08,240 --> 00:21:10,760 Speaker 4: there can't be enough focus on that we need to 399 00:21:10,800 --> 00:21:14,520 Speaker 4: continue to work hard to help resolve and attenuate some 400 00:21:14,600 --> 00:21:15,320 Speaker 4: of these problems. 401 00:21:15,400 --> 00:21:17,000 Speaker 1: Yeah, Jim Dalton is joining us. 402 00:21:17,000 --> 00:21:18,600 Speaker 3: I'd like to ask you a question on kind of 403 00:21:18,680 --> 00:21:22,560 Speaker 3: a broader perspective. What changes would you like to see 404 00:21:23,080 --> 00:21:26,280 Speaker 3: in autism services at the state or the national level. 405 00:21:27,560 --> 00:21:31,439 Speaker 4: Well, that's a big question, you know. As you know 406 00:21:31,600 --> 00:21:34,359 Speaker 4: in Indiana, we were having a lot of struggles with 407 00:21:34,400 --> 00:21:37,159 Speaker 4: our budget, and you know, I've been privileged to be 408 00:21:37,359 --> 00:21:40,520 Speaker 4: on the Governor's appointed task force for the ABA Task 409 00:21:40,520 --> 00:21:43,879 Speaker 4: Force and that's been a great experience. Lots of smart 410 00:21:43,880 --> 00:21:45,600 Speaker 4: people working on that. But you know, one of the 411 00:21:45,640 --> 00:21:49,800 Speaker 4: things that we're struggling with is the increase in cost 412 00:21:50,400 --> 00:21:55,800 Speaker 4: for these services with the increase in diagnosis. So, for example, 413 00:21:56,359 --> 00:22:00,000 Speaker 4: in twenty nineteen, I think the Medicaid spend in Indiana 414 00:22:00,080 --> 00:22:03,000 Speaker 4: it was about one hundred and twenty million dollars or 415 00:22:03,040 --> 00:22:08,040 Speaker 4: so on kids with autism, especially in ABA clinics. This 416 00:22:08,200 --> 00:22:12,120 Speaker 4: year it'll be about five hundred million dollars and if 417 00:22:12,119 --> 00:22:15,720 Speaker 4: nothing changes in twenty twenty nine, it's probably near about 418 00:22:15,760 --> 00:22:19,560 Speaker 4: eight hundred and fifty million dollars, So that, of course 419 00:22:19,680 --> 00:22:22,679 Speaker 4: is not sustainable. So we have two things happen, and 420 00:22:22,680 --> 00:22:26,399 Speaker 4: we have an increased focus and increase incidents in autism, 421 00:22:26,960 --> 00:22:31,480 Speaker 4: and you know, lots of pressures in declining budgets. At 422 00:22:31,600 --> 00:22:34,840 Speaker 4: least I can speak in Indiana to how to actually 423 00:22:35,640 --> 00:22:37,520 Speaker 4: intervene in a cost effective way. 424 00:22:37,840 --> 00:22:38,680 Speaker 1: It's a big. 425 00:22:38,560 --> 00:22:41,359 Speaker 4: Challenge right now. I think the focus still needs to 426 00:22:41,359 --> 00:22:47,080 Speaker 4: be on early intervention, early identification. That's the best way 427 00:22:47,200 --> 00:22:50,680 Speaker 4: to intervene with autism is to catch it early. Treatment 428 00:22:50,840 --> 00:22:55,280 Speaker 4: can be extremely effective if it's caught early. So you know, 429 00:22:55,320 --> 00:22:58,199 Speaker 4: we're trying to educate pediatricians. You know, that's usually the 430 00:22:58,240 --> 00:23:01,640 Speaker 4: front door by which it's usually first identified. So the 431 00:23:01,640 --> 00:23:05,119 Speaker 4: more that we can educate pediatricians and the more that 432 00:23:05,160 --> 00:23:07,760 Speaker 4: they can make their appropriate referrals and get those services 433 00:23:07,800 --> 00:23:10,960 Speaker 4: in place, that is wonderful. I think there's gonna be 434 00:23:10,960 --> 00:23:15,159 Speaker 4: some recommendations to the governor come out that's gonna, you know, 435 00:23:15,280 --> 00:23:20,280 Speaker 4: be a reasonable response to our budget constraints, especially around 436 00:23:20,520 --> 00:23:24,080 Speaker 4: children with autism on Medicaid, which is a big part 437 00:23:24,320 --> 00:23:26,680 Speaker 4: of lots of kids that are being treated with autism 438 00:23:26,680 --> 00:23:30,200 Speaker 4: in Indiana, so early intervention is probably the most effective 439 00:23:30,240 --> 00:23:31,040 Speaker 4: thing that can be done. 440 00:23:31,119 --> 00:23:33,000 Speaker 2: Hey, Jim, before I let you go, there's a lot 441 00:23:33,040 --> 00:23:36,479 Speaker 2: of talk about the increased rates of autism. Hey, you know, 442 00:23:36,520 --> 00:23:39,639 Speaker 2: twenty years ago it was this many kids one and 443 00:23:39,680 --> 00:23:44,160 Speaker 2: this many kids out autism. Yeah, all right, right, can 444 00:23:44,200 --> 00:23:48,680 Speaker 2: you talk a little bit about whether that's accurate or 445 00:23:48,960 --> 00:23:52,280 Speaker 2: are we just better at diagnosing it? From your perspective 446 00:23:52,320 --> 00:23:54,879 Speaker 2: as an expert who deals with this every single day, 447 00:23:55,400 --> 00:23:57,760 Speaker 2: can you give us some insight into those numbers. 448 00:23:58,920 --> 00:24:05,280 Speaker 4: Sure, As you know, many years ago, the autism became 449 00:24:05,320 --> 00:24:08,840 Speaker 4: more of a spectrum disorder, so it wide in the 450 00:24:09,000 --> 00:24:12,880 Speaker 4: range of consideration of certain symptoms and behaviors that might 451 00:24:13,000 --> 00:24:17,680 Speaker 4: qualify for the diagnosis of autism, and that has been 452 00:24:17,760 --> 00:24:22,800 Speaker 4: a significant has had a significant impact on the increasing numbers. 453 00:24:22,800 --> 00:24:26,120 Speaker 4: And there's really three things in any country that make 454 00:24:26,160 --> 00:24:28,120 Speaker 4: a difference in the number of kids that are diagnosed 455 00:24:28,160 --> 00:24:32,440 Speaker 4: with autism. The first one is diagnostic practices, The second 456 00:24:32,480 --> 00:24:36,240 Speaker 4: one is really kind of awareness and access to services 457 00:24:36,240 --> 00:24:39,159 Speaker 4: and diagnoses. And then the third one, which sometimes is 458 00:24:39,160 --> 00:24:40,879 Speaker 4: a big thing and sometimes not, but it's more of 459 00:24:40,920 --> 00:24:46,080 Speaker 4: the cultural acceptance signs or stigmas of autism, So I 460 00:24:46,119 --> 00:24:52,120 Speaker 4: do think the expanded diagnostic considerations have made a difference. 461 00:24:53,160 --> 00:24:55,199 Speaker 4: I also think that we're coming to a point, like 462 00:24:55,280 --> 00:24:59,840 Speaker 4: we did with ADHD many years ago, that sometimes we're 463 00:25:00,320 --> 00:25:03,560 Speaker 4: seeing autism when it's not really there. A lot of times, 464 00:25:03,600 --> 00:25:06,280 Speaker 4: these young teenagers or even young adults with kind of 465 00:25:06,359 --> 00:25:10,040 Speaker 4: quirky personalities, I'm hearing them say, oh, those kids must 466 00:25:10,040 --> 00:25:13,520 Speaker 4: have autism. Well, autism can really only be a diagnosed 467 00:25:13,600 --> 00:25:19,400 Speaker 4: if it's evident in early childhood, so those developmental markers 468 00:25:19,480 --> 00:25:23,360 Speaker 4: have to be there, so diagnosis has been an issue. 469 00:25:24,240 --> 00:25:28,840 Speaker 4: I also have always said to my colleagues that there's 470 00:25:28,880 --> 00:25:32,359 Speaker 4: a true incidents increased in diagnosis in the way. And 471 00:25:32,560 --> 00:25:35,119 Speaker 4: the reason I believe that is because a jamar we 472 00:25:35,160 --> 00:25:39,600 Speaker 4: see very very severe autism, and those numbers have significantly 473 00:25:39,640 --> 00:25:42,119 Speaker 4: increased as well as long as the more what we 474 00:25:42,200 --> 00:25:48,119 Speaker 4: would call higher functioning, lower needs autism diagnoses, so those things, 475 00:25:48,720 --> 00:25:51,440 Speaker 4: you know, the United States of America has the largest 476 00:25:51,440 --> 00:25:54,560 Speaker 4: incident the highest incident rates. Other countries have high incident 477 00:25:54,640 --> 00:25:58,040 Speaker 4: rates too, like South Korea is like one in thirty eight, 478 00:25:58,840 --> 00:26:00,800 Speaker 4: Japan is one in eighty seven. But if you think 479 00:26:00,840 --> 00:26:04,080 Speaker 4: about India, it's like one in five hundred and fifty 480 00:26:04,520 --> 00:26:07,959 Speaker 4: and that's probably because of those three things I noted, 481 00:26:08,119 --> 00:26:13,560 Speaker 4: diagnostic practices, access and awareness and then the cultural stigma 482 00:26:13,640 --> 00:26:16,160 Speaker 4: issues that go along with autism sometimes. 483 00:26:16,240 --> 00:26:17,760 Speaker 1: Well, thanks for all you do, Jim. 484 00:26:17,800 --> 00:26:19,560 Speaker 2: If you want to learn more about Daymar and what 485 00:26:19,640 --> 00:26:21,159 Speaker 2: you guys do, and if they want to help and 486 00:26:21,240 --> 00:26:22,399 Speaker 2: be a part of it, how can they do that? 487 00:26:23,000 --> 00:26:27,040 Speaker 4: Sure kenwww dot Damar dot org. We have lots of 488 00:26:27,080 --> 00:26:30,960 Speaker 4: resources for children and adults with autism. Just click on 489 00:26:31,040 --> 00:26:33,360 Speaker 4: the top. You can also call us directly at three 490 00:26:33,400 --> 00:26:36,800 Speaker 4: one seven eighty five six five two zero one and 491 00:26:36,840 --> 00:26:39,760 Speaker 4: we will do all we can to direct help or support. 492 00:26:40,080 --> 00:26:43,000 Speaker 2: Jim Dalton, doctor Jim Dalton, the CEO of DAYMAR, Thank you, 493 00:26:43,040 --> 00:26:43,720 Speaker 2: my friend. 494 00:26:44,119 --> 00:26:45,000 Speaker 4: Thank you very much. 495 00:26:45,320 --> 00:26:48,760 Speaker 3: You're listening to Kendall and Casey on ninety three WIBC. 496 00:26:55,440 --> 00:26:59,159 Speaker 1: So now the government's mad at tender? Is that right? 497 00:26:59,400 --> 00:27:02,240 Speaker 3: Well, they're not at it tender, they're just questioning some 498 00:27:02,320 --> 00:27:06,200 Speaker 3: of the dating scans that are happening. So like what, well, 499 00:27:06,200 --> 00:27:09,000 Speaker 3: there was this bipartisan letter that was sent to that. 500 00:27:10,119 --> 00:27:11,240 Speaker 1: Yeah, keV, what is tender? 501 00:27:11,280 --> 00:27:13,239 Speaker 2: You're the only one here that's eligible to be on 502 00:27:13,280 --> 00:27:15,560 Speaker 2: a dating application of some sort. 503 00:27:15,640 --> 00:27:17,159 Speaker 1: What is it? It's just like you just go on 504 00:27:17,240 --> 00:27:18,840 Speaker 1: and see people's pictures and. 505 00:27:19,600 --> 00:27:22,960 Speaker 5: You swipe right or left based on if you're attracted. 506 00:27:23,400 --> 00:27:26,439 Speaker 2: Do you put in like an algorithm, like like a 507 00:27:26,600 --> 00:27:28,560 Speaker 2: description of what you're looking for? Does it just pick 508 00:27:28,640 --> 00:27:30,000 Speaker 2: up over time what you're looking for? 509 00:27:30,080 --> 00:27:32,159 Speaker 5: Yeah, when you fill out your profile, it asks you 510 00:27:32,200 --> 00:27:34,639 Speaker 5: a series of questions and so you answer that and 511 00:27:34,720 --> 00:27:38,240 Speaker 5: then basically, yeah, I think they suggest they might suggest 512 00:27:38,320 --> 00:27:39,080 Speaker 5: people based on that. 513 00:27:39,760 --> 00:27:42,800 Speaker 2: So people like me like, can I mean I'm not 514 00:27:43,160 --> 00:27:45,199 Speaker 2: meaning to Maybe I'm asking too many questions here, but 515 00:27:45,760 --> 00:27:50,320 Speaker 2: is it like overly materialistic? People like me could be 516 00:27:50,320 --> 00:27:52,520 Speaker 2: like I'm totally just interested in looks. I don't even 517 00:27:52,560 --> 00:27:53,560 Speaker 2: care about a personality. 518 00:27:53,640 --> 00:27:56,000 Speaker 5: Yeah, I know, it's basically it's pretty much based on that. 519 00:27:56,040 --> 00:27:57,480 Speaker 5: I feel like there's a lot of people that just 520 00:27:57,520 --> 00:27:59,520 Speaker 5: swipe wright left based on looks. 521 00:27:59,560 --> 00:28:01,200 Speaker 2: Yeah, but I'm in and that like questionnaire, I could 522 00:28:01,240 --> 00:28:03,320 Speaker 2: be like, look, this person's gonna let me down eventually. Anyway, 523 00:28:03,359 --> 00:28:05,119 Speaker 2: I might as well just get the best looking person. 524 00:28:05,240 --> 00:28:08,320 Speaker 1: Well what yikes. That's how I would have probably handled it. 525 00:28:08,320 --> 00:28:10,040 Speaker 1: I'm not saying it's the right way to handle it. 526 00:28:10,280 --> 00:28:12,639 Speaker 3: So if you're gonna break my heart eventually, just at 527 00:28:12,720 --> 00:28:13,800 Speaker 3: least be good looking. 528 00:28:13,640 --> 00:28:15,880 Speaker 1: Exact before you do it. Anyway, Okay, very good. 529 00:28:15,920 --> 00:28:18,919 Speaker 2: So it's some sort of dating apparatus where people are 530 00:28:19,119 --> 00:28:20,360 Speaker 2: matching up with people. 531 00:28:20,200 --> 00:28:23,120 Speaker 1: That are in their wheelhouse for lack of a better term. 532 00:28:23,240 --> 00:28:26,439 Speaker 3: Yeah, So, Senators Maggie Hassan who's from New Hampshire, and 533 00:28:26,480 --> 00:28:29,960 Speaker 3: also Marsha Blackburn from Tennessee. They sent a letter to 534 00:28:30,080 --> 00:28:33,480 Speaker 3: the Match Group CEO and they were seeking information about 535 00:28:33,480 --> 00:28:38,920 Speaker 3: the company's policies and practices related to fraudulent activity on 536 00:28:39,240 --> 00:28:40,000 Speaker 3: their platform. 537 00:28:40,160 --> 00:28:41,760 Speaker 1: What does that mean? Fraudulent activity? 538 00:28:41,960 --> 00:28:46,200 Speaker 3: Well, Romance scams are a form of financial fraud in 539 00:28:46,200 --> 00:28:50,400 Speaker 3: the US, and annual losses total at least one point 540 00:28:50,440 --> 00:28:52,680 Speaker 3: three billion dollars according to the FTC. 541 00:28:52,920 --> 00:28:55,720 Speaker 2: This is like the new Nigerian print scam, but instead 542 00:28:55,720 --> 00:28:59,720 Speaker 2: of the Nigerian Prince, it's I love you, send me 543 00:28:59,760 --> 00:29:02,800 Speaker 2: mine so I can come see you or whatever and 544 00:29:02,840 --> 00:29:08,360 Speaker 2: then whatever. All right, So keV another question, because I'm 545 00:29:08,400 --> 00:29:09,960 Speaker 2: out of that. I'm out of the game. But it 546 00:29:10,000 --> 00:29:14,760 Speaker 2: would seem logical to me, like you meet somebody online, Hey, 547 00:29:14,800 --> 00:29:18,200 Speaker 2: you want to set up a little FaceTime or zoom 548 00:29:18,240 --> 00:29:22,800 Speaker 2: call or whatever. To see the person's real would be 549 00:29:22,800 --> 00:29:25,560 Speaker 2: a nice step one, or you tell me maybe I'm 550 00:29:25,600 --> 00:29:26,800 Speaker 2: just totally out of the game on that. I mean, 551 00:29:26,880 --> 00:29:28,840 Speaker 2: you can do that, right, so you know the person's real, 552 00:29:28,880 --> 00:29:31,640 Speaker 2: and then you say I'd like to meet you at 553 00:29:31,720 --> 00:29:35,959 Speaker 2: the local butcher shop or whatever, and then you get 554 00:29:36,040 --> 00:29:39,120 Speaker 2: to visit with them. Shouldn't those be steps A and 555 00:29:39,120 --> 00:29:41,760 Speaker 2: B before any money is exchanging hands? 556 00:29:41,880 --> 00:29:42,080 Speaker 4: Yeah? 557 00:29:42,080 --> 00:29:45,120 Speaker 5: And I think it's also just fairly obvious when someone's 558 00:29:45,200 --> 00:29:48,200 Speaker 5: real or not or if you're getting catfished. So I 559 00:29:48,280 --> 00:29:49,880 Speaker 5: don't know, I think you have to be pretty naive 560 00:29:49,920 --> 00:29:50,840 Speaker 5: to fall for it. 561 00:29:50,840 --> 00:29:55,960 Speaker 2: It was easier to catfish people years ago, right because 562 00:29:56,000 --> 00:29:58,080 Speaker 2: everybody to have a cellular telephone in their hand that 563 00:29:58,120 --> 00:29:59,120 Speaker 2: had a camera on it. 564 00:29:59,320 --> 00:30:00,480 Speaker 1: Blah blah blah. 565 00:30:00,840 --> 00:30:06,640 Speaker 2: So basically the government is just trying to save naive 566 00:30:06,680 --> 00:30:08,240 Speaker 2: people from themselves, right. 567 00:30:08,480 --> 00:30:11,360 Speaker 1: Sounds like one point three billion dollars though, don'ts a 568 00:30:11,400 --> 00:30:13,360 Speaker 1: lot of money. Don't send money to people you don't know, Like, 569 00:30:13,400 --> 00:30:14,280 Speaker 1: why is this so hard? 570 00:30:15,160 --> 00:30:18,560 Speaker 3: Very Instead of instead of getting all up in Tinder's business, 571 00:30:18,600 --> 00:30:19,840 Speaker 3: they could just put that note out. 572 00:30:19,800 --> 00:30:22,880 Speaker 2: Right, just put a big, big just just tack it 573 00:30:22,880 --> 00:30:25,280 Speaker 2: to the front of the nation's capital. Don't send money 574 00:30:25,280 --> 00:30:26,040 Speaker 2: to people you don't know. 575 00:30:26,360 --> 00:30:30,840 Speaker 3: So the senators they were requesting all documentation and communication 576 00:30:31,360 --> 00:30:35,959 Speaker 3: related to the design, development, effectiveness, and consideration of fraud 577 00:30:36,000 --> 00:30:41,240 Speaker 3: prevention measures that Match and Tinder have. They also wanted 578 00:30:41,240 --> 00:30:45,360 Speaker 3: to itemize quarterly investments in trust and safety initiatives. 579 00:30:45,440 --> 00:30:47,480 Speaker 2: Ken, have you ever met anyone on a dating app 580 00:30:47,480 --> 00:30:49,320 Speaker 2: that was remotely intriguing? 581 00:30:49,920 --> 00:30:50,120 Speaker 1: Yeah? 582 00:30:50,120 --> 00:30:51,960 Speaker 5: I mean there's been some interesting women. 583 00:30:52,240 --> 00:30:54,080 Speaker 2: Have you ever met any money dating apps? Say more 584 00:30:54,080 --> 00:30:55,960 Speaker 2: words that you wanted to meet again? Like that you 585 00:30:56,080 --> 00:30:56,720 Speaker 2: met again? 586 00:30:56,960 --> 00:30:59,680 Speaker 1: Yeah, okay, all right, I don't know. 587 00:30:59,720 --> 00:31:03,640 Speaker 3: It seems like they've got bigger fish to fry. 588 00:31:04,040 --> 00:31:06,680 Speaker 2: Yeah, I mean it's sort of like, here's how I 589 00:31:06,680 --> 00:31:09,680 Speaker 2: would equate it. So, Dabosweeney is the head coach at Clemson, 590 00:31:10,240 --> 00:31:12,440 Speaker 2: and they were like the best program in college football 591 00:31:12,680 --> 00:31:15,360 Speaker 2: and then all this nil transfer portal stuff started happening. 592 00:31:15,400 --> 00:31:17,160 Speaker 2: He's like, I don't need that. I'm just gonna recruit 593 00:31:17,160 --> 00:31:19,480 Speaker 2: the old fashion way. I'm gonna win, And now they stink. 594 00:31:20,000 --> 00:31:22,920 Speaker 2: Because he's a purist, right, he knows how, he knows 595 00:31:22,920 --> 00:31:26,520 Speaker 2: how in this case, football should work, how recruiting should happen, 596 00:31:26,600 --> 00:31:28,719 Speaker 2: how getting players should be It don't work anymore. 597 00:31:28,720 --> 00:31:30,000 Speaker 1: I feel like i'd be the same way. I'm like, 598 00:31:30,040 --> 00:31:31,240 Speaker 1: I don't need these dating apps. 599 00:31:31,560 --> 00:31:33,080 Speaker 2: But then the reality is it seems like maybe you 600 00:31:33,120 --> 00:31:35,400 Speaker 2: kind of do need the dating app because you should 601 00:31:35,400 --> 00:31:36,600 Speaker 2: be meeting people in person. 602 00:31:36,800 --> 00:31:36,960 Speaker 4: Right. 603 00:31:37,440 --> 00:31:41,000 Speaker 3: Nobody leaves their home anymore, there's no third place to go. 604 00:31:41,280 --> 00:31:43,840 Speaker 2: The dating app just seems like a very bad way 605 00:31:44,320 --> 00:31:45,640 Speaker 2: to make first encounters. 606 00:31:45,680 --> 00:31:47,240 Speaker 3: Yeah, you need to do it the old fashioned way. 607 00:31:47,320 --> 00:31:52,760 Speaker 3: Meet your your significant other at work. You thought I 608 00:31:52,800 --> 00:31:53,560 Speaker 3: was going to say at a bar? 609 00:31:53,760 --> 00:31:58,280 Speaker 1: Well, yes, no, I guess work worked out better for me. 610 00:31:58,520 --> 00:31:58,960 Speaker 3: Uh huh. 611 00:31:59,200 --> 00:32:02,959 Speaker 1: Same. We need to tell you about this two hour WIBC. 612 00:32:03,000 --> 00:32:06,680 Speaker 3: Radio documentary Exciting. It's called for the Love of Slick 613 00:32:06,800 --> 00:32:09,600 Speaker 3: in the words of Bob and Nancy Leonard. It's a 614 00:32:09,680 --> 00:32:13,240 Speaker 3: heartfelt audio special celebrating the life and legacy of Bobby 615 00:32:13,240 --> 00:32:15,280 Speaker 3: Slick Leonard and his wife Nancy. 616 00:32:15,520 --> 00:32:16,320 Speaker 1: Oh how exciting. 617 00:32:16,400 --> 00:32:20,760 Speaker 3: Yes, tribute and you can find that at WIBC dot 618 00:32:20,800 --> 00:32:22,520 Speaker 3: com the homepage. 619 00:32:22,560 --> 00:32:24,240 Speaker 1: Just go under special task. 620 00:32:24,320 --> 00:32:24,480 Speaker 4: Wait. 621 00:32:24,520 --> 00:32:27,000 Speaker 1: Wait, is that true women will get on the dating 622 00:32:27,040 --> 00:32:30,000 Speaker 1: app for a freak just to get a free dinner? 623 00:32:30,600 --> 00:32:32,280 Speaker 1: Is that a scam? That's not a scam? 624 00:32:32,360 --> 00:32:32,600 Speaker 3: Is it? 625 00:32:32,600 --> 00:32:36,440 Speaker 1: It's a fraudulent scam. Oh, the blackbirds should look into that, Like, 626 00:32:36,560 --> 00:32:38,320 Speaker 1: is that a scam? We need to think about that 627 00:32:38,360 --> 00:32:38,920 Speaker 1: during the break. 628 00:32:38,920 --> 00:32:42,080 Speaker 2: But when we come back, Haley Colombo and Kayla Dwyer 629 00:32:42,080 --> 00:32:43,520 Speaker 2: from Indy ser will be with us talking about this 630 00:32:43,520 --> 00:32:46,840 Speaker 2: fabulous piece they did about these three guys who made 631 00:32:46,920 --> 00:32:49,960 Speaker 2: like a gajillion dollars of your tax money through the IDC. 632 00:32:50,240 --> 00:32:52,960 Speaker 3: It's Kennel and Casey on ninety three WIBC