1 00:00:00,000 --> 00:00:03,560 Speaker 1: All right, so coming up next segment. Yeah, this is 2 00:00:03,600 --> 00:00:08,400 Speaker 1: a fascinating guest we have. It's the former head of 3 00:00:08,400 --> 00:00:09,400 Speaker 1: the FDA. 4 00:00:09,240 --> 00:00:12,240 Speaker 2: Right, he is a former FDA commissioner. 5 00:00:12,039 --> 00:00:15,280 Speaker 1: And he's going to talk with us about how much 6 00:00:15,520 --> 00:00:21,040 Speaker 1: money nonprofit hospitals and the people who run them are 7 00:00:21,520 --> 00:00:23,480 Speaker 1: making in the state of Indiana. 8 00:00:22,960 --> 00:00:25,599 Speaker 2: Even though there are subsidies. 9 00:00:25,000 --> 00:00:26,840 Speaker 1: That they received, Yeah, even though you, as a taxpayer, 10 00:00:26,920 --> 00:00:29,200 Speaker 1: are keeping them afloat. And this was a big part 11 00:00:29,240 --> 00:00:31,080 Speaker 1: of the conversation when they tried to do this healthcare 12 00:00:31,120 --> 00:00:33,919 Speaker 1: reform stuff during the last legislative session. I don't think 13 00:00:34,000 --> 00:00:36,800 Speaker 1: much meaningful actually got done, but this is going to 14 00:00:36,840 --> 00:00:39,080 Speaker 1: be a really interesting conversation because you think of a 15 00:00:39,120 --> 00:00:41,839 Speaker 1: nonprofit hospital, you think of the little sisters or the 16 00:00:41,880 --> 00:00:44,400 Speaker 1: poor or mother Teresa or whatever, and this is going 17 00:00:44,440 --> 00:00:47,440 Speaker 1: to lay out how much these nonprofits are actually making, some. 18 00:00:47,400 --> 00:00:48,879 Speaker 2: Of them and the people who run them. 19 00:00:49,040 --> 00:00:50,400 Speaker 1: Yeah. So this could be very interesting. 20 00:00:50,440 --> 00:00:52,400 Speaker 2: But first proving once again that we got into the 21 00:00:52,440 --> 00:00:52,960 Speaker 2: wrong business. 22 00:00:53,040 --> 00:00:54,160 Speaker 1: Yeah we did. I mean we should have been in 23 00:00:54,200 --> 00:00:57,560 Speaker 1: the fair business, or the h or the non profit 24 00:00:57,600 --> 00:01:00,080 Speaker 1: hospital business. There's still time casey. 25 00:01:00,120 --> 00:01:03,080 Speaker 3: Yeah, okay, I'll get on that. 26 00:01:03,600 --> 00:01:03,840 Speaker 2: Yeah. 27 00:01:03,880 --> 00:01:06,280 Speaker 3: So Peter Pitts is going to be joining us coming 28 00:01:06,319 --> 00:01:08,880 Speaker 3: up in just a little bit. But for some breaking news, 29 00:01:09,240 --> 00:01:13,280 Speaker 3: subpoenas just went out to several politicians. Oh, this is 30 00:01:13,319 --> 00:01:16,640 Speaker 3: to compel them to testify in front of Congress. 31 00:01:16,160 --> 00:01:16,800 Speaker 2: And woo. 32 00:01:17,120 --> 00:01:21,440 Speaker 1: The list is dicey again. I mean, how many times 33 00:01:21,440 --> 00:01:24,199 Speaker 1: we've been through this, How many different topics have we had? Oh, 34 00:01:24,240 --> 00:01:26,320 Speaker 1: the big subpoena list is going on. Ooh, so and 35 00:01:26,400 --> 00:01:27,920 Speaker 1: So is gonna have to go in front of the Hill. Ooh, 36 00:01:27,959 --> 00:01:30,760 Speaker 1: they're going to get them this time, and then nothing happens. 37 00:01:30,840 --> 00:01:36,160 Speaker 3: Well, they're supposed to testify about the Epstein case. Oh 38 00:01:36,240 --> 00:01:38,520 Speaker 3: so we'll see how many of these people show up. 39 00:01:38,560 --> 00:01:39,840 Speaker 3: But you want to hear some of the names on 40 00:01:39,920 --> 00:01:45,280 Speaker 3: the list. Former Secretary of State Hillary Clinton, former President 41 00:01:45,319 --> 00:01:50,960 Speaker 3: Bill Clinton. Oh, former US Attorney Merrick Garland, former FBI 42 00:01:51,040 --> 00:01:55,760 Speaker 3: director James Comey, former US Attorney General William Barr uh huh. 43 00:01:55,800 --> 00:01:57,200 Speaker 2: And it just keeps going on. 44 00:01:57,320 --> 00:02:03,480 Speaker 1: Roberto Gonzalez, do you have sessions? Robert Muller, Loretta Lynch, 45 00:02:03,720 --> 00:02:07,000 Speaker 1: Eric Holder. Now there's a variety of things they want 46 00:02:07,040 --> 00:02:08,760 Speaker 1: to ask these people about. Right, it isn't like the 47 00:02:09,680 --> 00:02:12,880 Speaker 1: Russia thing part of this too and I mean like 48 00:02:12,919 --> 00:02:18,040 Speaker 1: they're just not gonna like they're just nothing ever happens 49 00:02:18,040 --> 00:02:19,320 Speaker 1: to any of these people though, So like I'm over 50 00:02:19,360 --> 00:02:21,760 Speaker 1: this again. It's right back where I'm with the politicians, 51 00:02:21,800 --> 00:02:23,160 Speaker 1: and so and so is running for so and so. 52 00:02:23,240 --> 00:02:24,320 Speaker 1: It's like, okay, so what. 53 00:02:24,440 --> 00:02:25,200 Speaker 2: Can they do that. 54 00:02:25,360 --> 00:02:28,360 Speaker 3: Can they tiptoe into other waters? Can they ask him 55 00:02:28,360 --> 00:02:30,919 Speaker 3: about the Russia Russia Russia hoax while they're there, because 56 00:02:30,919 --> 00:02:35,080 Speaker 3: everything I'm seeing is that the Attorney General Pam Bondi 57 00:02:35,680 --> 00:02:39,359 Speaker 3: received the subpoena for documents and it was all related 58 00:02:39,400 --> 00:02:40,240 Speaker 3: to the Epstein. 59 00:02:40,440 --> 00:02:42,520 Speaker 1: Well but I mean here, but I mean Fox News 60 00:02:42,520 --> 00:02:45,799 Speaker 1: headline says, comer subpoena is the Clintons Trump's DOJ in 61 00:02:45,919 --> 00:02:51,360 Speaker 1: house oversights Epstein pro so the DOJ. Well, okay, I 62 00:02:51,400 --> 00:02:53,600 Speaker 1: guess then they will stay with that. I mean I 63 00:02:53,680 --> 00:02:55,920 Speaker 1: was I was understanding this that they were just going 64 00:02:55,960 --> 00:02:57,320 Speaker 1: to be able to open the door and ask about 65 00:02:57,320 --> 00:02:59,120 Speaker 1: a variety things, which I guess you're a congressman, you 66 00:02:59,120 --> 00:02:59,919 Speaker 1: can ask whatever you want. 67 00:03:00,280 --> 00:03:03,520 Speaker 3: But I guess if they're already under oath, just start 68 00:03:03,560 --> 00:03:04,480 Speaker 3: asking them everything. 69 00:03:04,639 --> 00:03:06,639 Speaker 1: Well, I mean yeah, I don't know if there's some 70 00:03:06,680 --> 00:03:08,919 Speaker 1: sort of I mean, you see that where they'll pivot 71 00:03:08,960 --> 00:03:18,280 Speaker 1: onto something else or whatever. But Oka, again, you we're 72 00:03:18,320 --> 00:03:23,040 Speaker 1: gonna you brought charges against the guy. What evidence did 73 00:03:23,080 --> 00:03:26,720 Speaker 1: you have to charge the guy? You still seemingly unless 74 00:03:26,760 --> 00:03:29,480 Speaker 1: it has been destroyed, which that's a gigantic story. If 75 00:03:29,480 --> 00:03:31,920 Speaker 1: the evidence has been destroyed, have access to all of this? 76 00:03:32,440 --> 00:03:36,320 Speaker 1: So why do we need any of these people? What's 77 00:03:36,440 --> 00:03:42,760 Speaker 1: the evidence that you had that put this guy behind bars? 78 00:03:43,680 --> 00:03:46,760 Speaker 1: Can someone answer, well and Max, well, there's two of 79 00:03:46,800 --> 00:03:50,360 Speaker 1: them right where what is that? There has to be 80 00:03:50,800 --> 00:03:55,200 Speaker 1: something more than just rumor and innuindo what evidence was that? 81 00:03:55,280 --> 00:03:58,240 Speaker 1: And we you can't even get that? So uh I 82 00:03:58,280 --> 00:04:01,280 Speaker 1: look at this point, this is it's sort of I'm 83 00:04:01,280 --> 00:04:04,320 Speaker 1: not saying the topic is similar, but it is similar 84 00:04:04,360 --> 00:04:06,720 Speaker 1: to what has happened with Joe hawk Set. What did 85 00:04:06,720 --> 00:04:09,160 Speaker 1: we tell you last fall when they announced this big 86 00:04:09,200 --> 00:04:12,400 Speaker 1: investigative committee and that we're bringing in an outside firm 87 00:04:12,440 --> 00:04:14,160 Speaker 1: and what about it? What I say? I said, they 88 00:04:14,160 --> 00:04:17,440 Speaker 1: are going that this is going to take months. 89 00:04:16,800 --> 00:04:18,960 Speaker 2: And months, cost a lot of money. 90 00:04:18,960 --> 00:04:22,159 Speaker 1: It cost a lot of money. They're going to hope 91 00:04:22,200 --> 00:04:24,640 Speaker 1: that you lose interest in it, and they're going to 92 00:04:24,680 --> 00:04:27,560 Speaker 1: come out with some bullcrap report that makes somebody fall 93 00:04:27,600 --> 00:04:30,520 Speaker 1: on the sword, but nobody's going down, and then nothing 94 00:04:30,520 --> 00:04:33,560 Speaker 1: will change. Casey, what happened exactly? 95 00:04:33,640 --> 00:04:34,839 Speaker 2: That nothing changed. 96 00:04:34,640 --> 00:04:36,640 Speaker 1: Exactly, And this is the thing that's going to happen 97 00:04:36,680 --> 00:04:39,039 Speaker 1: here with this, they want to just drag it out right. 98 00:04:39,080 --> 00:04:42,200 Speaker 1: They are slow walking this in the hopes that you lead, 99 00:04:42,400 --> 00:04:44,760 Speaker 1: lose interest, you go on to the next thing. There's 100 00:04:44,839 --> 00:04:48,760 Speaker 1: some big event that people start looking over there. That's 101 00:04:48,760 --> 00:04:51,720 Speaker 1: what this is all about. They have the evidence, they 102 00:04:51,760 --> 00:04:54,840 Speaker 1: prosecuted these guys with. What is it. 103 00:04:55,040 --> 00:04:56,880 Speaker 2: Do you think that this is just a see if 104 00:04:56,880 --> 00:04:57,600 Speaker 2: they'll show up. 105 00:04:58,440 --> 00:05:01,040 Speaker 1: No, it's a charaded's dinner theory, beef and boards. All 106 00:05:01,080 --> 00:05:03,840 Speaker 1: of this is dinner theater at this point where they 107 00:05:03,920 --> 00:05:06,480 Speaker 1: want you to think it's everything in the government. They 108 00:05:06,520 --> 00:05:08,800 Speaker 1: want you to think they're working. They want you to 109 00:05:08,800 --> 00:05:11,200 Speaker 1: think they're doing something. They want you to think they're trying. 110 00:05:11,360 --> 00:05:13,000 Speaker 1: You know what you can't do if you solve the problem, 111 00:05:13,040 --> 00:05:14,200 Speaker 1: you can't fundraise off of it. 112 00:05:14,279 --> 00:05:18,400 Speaker 2: Yeah, there's that. Well, you know what problem we do have? Still? 113 00:05:18,400 --> 00:05:18,720 Speaker 1: What's it? 114 00:05:18,960 --> 00:05:20,040 Speaker 2: The cost of groceries? 115 00:05:20,200 --> 00:05:23,039 Speaker 1: Oh? That's have you have you shopped lately? 116 00:05:23,560 --> 00:05:23,920 Speaker 2: Yeah? 117 00:05:23,960 --> 00:05:27,120 Speaker 1: When was the last time you went grocery shopping last weekend. Yeah, 118 00:05:27,600 --> 00:05:31,240 Speaker 1: do you do the thing that I do? Where when? Now, 119 00:05:31,680 --> 00:05:34,960 Speaker 1: first of all, when you grocery shop, do you do 120 00:05:35,000 --> 00:05:36,520 Speaker 1: you stick to the list? Well, I'm saying, do you 121 00:05:36,520 --> 00:05:38,640 Speaker 1: go all at once like I'm shopping for a whole 122 00:05:38,680 --> 00:05:40,520 Speaker 1: week or two weeks at once, and then you just 123 00:05:40,600 --> 00:05:42,839 Speaker 1: do it and you're done with it. My wife and 124 00:05:42,880 --> 00:05:44,080 Speaker 1: I trade on and off, and I think we do 125 00:05:44,120 --> 00:05:47,080 Speaker 1: this to fool ourselves, where we go two or three 126 00:05:47,120 --> 00:05:50,400 Speaker 1: times a week and just do days at a time. 127 00:05:50,720 --> 00:05:53,640 Speaker 1: I think to ease the pain so you don't. 128 00:05:53,480 --> 00:05:55,560 Speaker 2: Get one big bill, so it's spread out. 129 00:05:55,640 --> 00:05:58,800 Speaker 1: Us at the So I went, I went last night. 130 00:05:59,120 --> 00:06:01,560 Speaker 1: Kid loves strawberry, so she's hat a strawberry. I gotta 131 00:06:01,520 --> 00:06:04,640 Speaker 1: go get strawberries. So I went and got like I'm 132 00:06:04,680 --> 00:06:07,840 Speaker 1: trying to think of my list here, I got strawberries, bananas. 133 00:06:09,000 --> 00:06:11,880 Speaker 1: She loves those little gold fishy crackers. Yeah whatever those 134 00:06:11,920 --> 00:06:14,440 Speaker 1: are ice cream? 135 00:06:14,800 --> 00:06:16,960 Speaker 2: What do you call them? Do you call them gold fishies? 136 00:06:17,040 --> 00:06:19,039 Speaker 1: I don't know whatever I think they're. I think the 137 00:06:19,080 --> 00:06:21,360 Speaker 1: Walmart brand is a ping one. We get the Walmart brand, 138 00:06:21,360 --> 00:06:24,240 Speaker 1: so I think it's a pinguin. Right. She has to 139 00:06:24,240 --> 00:06:25,960 Speaker 1: figure that out yet that there's a difference. I'm sure 140 00:06:26,080 --> 00:06:29,000 Speaker 1: that'll become the world's biggest deal once that enters her 141 00:06:29,640 --> 00:06:31,960 Speaker 1: train of thought. But it was like like a couple 142 00:06:32,000 --> 00:06:34,000 Speaker 1: other minor things, and it was like forty six or 143 00:06:34,040 --> 00:06:36,760 Speaker 1: forty seven bucks, and it's just like, what what am 144 00:06:36,800 --> 00:06:39,760 Speaker 1: I buying here? That should be this much money? This 145 00:06:39,800 --> 00:06:41,680 Speaker 1: is not that long ago a twenty five or thirty 146 00:06:41,720 --> 00:06:44,599 Speaker 1: dollars purchase, and now it's forty six forty seven dollars. Yep. 147 00:06:44,640 --> 00:06:46,680 Speaker 3: So there's a new poll out and it says that 148 00:06:46,760 --> 00:06:50,640 Speaker 3: a majority of US adults are stressed about rising grocery prices. 149 00:06:50,680 --> 00:06:54,080 Speaker 3: Fifty three percent call it a major source of stress. 150 00:06:54,120 --> 00:06:55,960 Speaker 1: Boy, you don't say, yeah, I believe that. 151 00:06:56,279 --> 00:06:59,960 Speaker 3: Thirty three percent say it's a minor source. Other financial 152 00:07:00,040 --> 00:07:04,839 Speaker 3: stressors include housing, low savings, and healthcare costs. 153 00:07:05,640 --> 00:07:10,880 Speaker 1: You think about your life, right, So there's part of 154 00:07:10,920 --> 00:07:13,080 Speaker 1: becoming an adult and you don't even realize it until 155 00:07:13,080 --> 00:07:16,360 Speaker 1: you're in the throes of adulthood. Is just figuring out 156 00:07:16,360 --> 00:07:19,800 Speaker 1: how to navigate existence. Does that make sense? Like where 157 00:07:19,840 --> 00:07:23,680 Speaker 1: you just got a plot, Like a great golfer in 158 00:07:23,760 --> 00:07:26,520 Speaker 1: a major golf tournament isn't always the best golfer. It's 159 00:07:26,560 --> 00:07:28,400 Speaker 1: the guy that can plot his way around the course 160 00:07:28,440 --> 00:07:30,800 Speaker 1: the best, Like what shot do I hit here? 161 00:07:30,920 --> 00:07:31,880 Speaker 2: Which club should I use? 162 00:07:31,960 --> 00:07:34,800 Speaker 1: It may not be my best shot, but it's the 163 00:07:34,800 --> 00:07:36,760 Speaker 1: shot I need to hit here. And that's usually the guy, 164 00:07:36,840 --> 00:07:38,680 Speaker 1: especially the big tournaments, who wins the tournaments, the guy 165 00:07:38,680 --> 00:07:41,200 Speaker 1: who can plot most effectively his way around the golf course. 166 00:07:41,480 --> 00:07:43,560 Speaker 1: As an adult, at forty years old, I realized that 167 00:07:44,080 --> 00:07:46,400 Speaker 1: is life. I am plotting my way every day around 168 00:07:46,440 --> 00:07:50,960 Speaker 1: a major golf tournament, where like, just how do you successfully, 169 00:07:51,400 --> 00:07:55,720 Speaker 1: not even success effectively live your existence from one day 170 00:07:56,160 --> 00:08:01,360 Speaker 1: to the next. And gosh darn it, case it's not easy. 171 00:08:01,160 --> 00:08:02,880 Speaker 2: Crying in the shower help sometimes. 172 00:08:04,680 --> 00:08:07,040 Speaker 1: And I was thinking about this the other day. I 173 00:08:07,080 --> 00:08:09,160 Speaker 1: have a job I really love like I have a 174 00:08:09,240 --> 00:08:13,400 Speaker 1: job I look forward to every single day. My hobby. 175 00:08:13,640 --> 00:08:16,080 Speaker 1: By the way, Casey, did you asked me what I 176 00:08:16,080 --> 00:08:18,560 Speaker 1: was doing last night? What did I do? What did 177 00:08:18,560 --> 00:08:20,720 Speaker 1: you I sent you? What did I say? Watch? 178 00:08:21,040 --> 00:08:26,120 Speaker 3: You're watching Chris Hansen videos again? I watched the Becoming 179 00:08:26,200 --> 00:08:30,080 Speaker 3: led Zeppelin? Is it good documentary? On Netflix? Yes? 180 00:08:30,200 --> 00:08:30,880 Speaker 2: I enjoyed it. 181 00:08:30,920 --> 00:08:32,319 Speaker 3: I mean, you have to be a fan of led 182 00:08:32,360 --> 00:08:36,079 Speaker 3: Zepplin because a lot of long concert shots and they 183 00:08:36,080 --> 00:08:37,840 Speaker 3: play the full song quite a few times. 184 00:08:37,920 --> 00:08:39,320 Speaker 1: This is the thing that Kevin and I were supposed 185 00:08:39,320 --> 00:08:41,040 Speaker 1: to go to the theater and see, right, and then 186 00:08:41,120 --> 00:08:43,320 Speaker 1: keV no showed is this it? 187 00:08:43,320 --> 00:08:47,840 Speaker 2: That's what it was called becoming led Zeppelin. 188 00:08:48,120 --> 00:08:49,959 Speaker 1: Yeah, we're gonna go to the Imax, and then you 189 00:08:50,040 --> 00:08:50,800 Speaker 1: just ghosted me. 190 00:08:50,880 --> 00:08:52,240 Speaker 2: Yeah, we kind of missed our boat on that. 191 00:08:52,440 --> 00:08:55,160 Speaker 1: Yeah, that's happens a lot with you, where you're like, yeah, 192 00:08:55,240 --> 00:08:57,400 Speaker 1: let's do that, and then we just never we never 193 00:08:57,480 --> 00:09:00,800 Speaker 1: do it. I get the memo keV, I understand your 194 00:09:00,880 --> 00:09:03,120 Speaker 1: voice is being heard loud and clear over here, so 195 00:09:03,200 --> 00:09:04,720 Speaker 1: this is it, and he said it's pretty good. 196 00:09:04,840 --> 00:09:06,200 Speaker 2: I yeah, I enjoyed it. You know. 197 00:09:06,240 --> 00:09:09,080 Speaker 3: I always was a Robert Plant fan, Yes, but after 198 00:09:09,120 --> 00:09:12,280 Speaker 3: watching the documentary, I think Jimmy Page is now my thing. 199 00:09:12,280 --> 00:09:14,840 Speaker 1: Well now I have to get on Netflix watch ban Anyway, 200 00:09:15,240 --> 00:09:19,480 Speaker 1: the point being like your life now is because of 201 00:09:19,520 --> 00:09:23,360 Speaker 1: the expense of everything and just trying to navigate life 202 00:09:23,360 --> 00:09:26,040 Speaker 1: is hard enough, but now you have to navigate especially 203 00:09:26,440 --> 00:09:29,680 Speaker 1: like I enjoy what I do every day. I enjoy 204 00:09:29,720 --> 00:09:31,679 Speaker 1: coming to where my work is my hobby, my job 205 00:09:31,720 --> 00:09:34,400 Speaker 1: is my entertainment. But think about if you have and 206 00:09:34,520 --> 00:09:37,520 Speaker 1: I'm off at noon, I'm in at seven thirty, and 207 00:09:37,559 --> 00:09:41,400 Speaker 1: I'm off at nuone. I have this as easy as 208 00:09:41,400 --> 00:09:45,880 Speaker 1: an adult can possibly. You know, have a work Think. 209 00:09:45,720 --> 00:09:47,360 Speaker 2: If you're a I got out really nicely. 210 00:09:47,880 --> 00:09:51,240 Speaker 1: Well, I told people I spent years working figuring out 211 00:09:51,240 --> 00:09:54,560 Speaker 1: how not to work. That's my real accomplishment. I totally did. 212 00:09:55,600 --> 00:09:58,520 Speaker 1: But think about if you have a job where it's 213 00:09:58,559 --> 00:10:01,520 Speaker 1: a nine to five or whatever. Last night at the store, 214 00:10:01,559 --> 00:10:05,520 Speaker 1: I saw Buddy, a dear, dear friend, and he he's 215 00:10:05,520 --> 00:10:08,880 Speaker 1: made a lot of money having individual businesses and he's 216 00:10:08,920 --> 00:10:10,599 Speaker 1: been running them for many, many years, and I was like, 217 00:10:10,600 --> 00:10:12,520 Speaker 1: how are things going. He goes, well, I went back 218 00:10:12,559 --> 00:10:14,720 Speaker 1: to work for fill in the blank, and this is 219 00:10:14,760 --> 00:10:17,959 Speaker 1: a major corporation. I was like, you did what? He goes, Yeah, 220 00:10:18,000 --> 00:10:20,000 Speaker 1: it's been like twelve years since I've been there. But 221 00:10:20,040 --> 00:10:22,640 Speaker 1: you know, life is getting really expensive and the amount 222 00:10:22,640 --> 00:10:24,360 Speaker 1: of money they offered me to go back. I was like, 223 00:10:24,360 --> 00:10:25,800 Speaker 1: but what about your business. He's like, well, I'm just 224 00:10:25,840 --> 00:10:28,600 Speaker 1: going to do them afterwards now, and he says it's 225 00:10:28,600 --> 00:10:31,440 Speaker 1: just like like it's life is this guy had to 226 00:10:31,440 --> 00:10:34,120 Speaker 1: take a full time job on top of the businesses 227 00:10:34,160 --> 00:10:37,320 Speaker 1: that he owns because of how expensive everything. 228 00:10:37,440 --> 00:10:38,760 Speaker 2: Yes, sixty four. 229 00:10:38,600 --> 00:10:41,800 Speaker 3: Percent of Americans earning under thirty thousand dollars say groceries 230 00:10:41,880 --> 00:10:45,600 Speaker 3: are a major financial stressor forty percent. Even if you 231 00:10:46,040 --> 00:10:49,959 Speaker 3: earn over one hundred thousand dollars a year, forty percent 232 00:10:50,080 --> 00:10:53,480 Speaker 3: still say going to the grocery store stressful event. 233 00:10:53,720 --> 00:10:56,400 Speaker 1: Yeah, because because of the cost it eats into It's 234 00:10:56,440 --> 00:10:58,960 Speaker 1: the same conversation we had about the property taxes and 235 00:10:59,000 --> 00:11:02,480 Speaker 1: the insurance, which is your mortgage payment keeps going up, 236 00:11:02,679 --> 00:11:05,559 Speaker 1: but it's a sunk like you get nothing for it. 237 00:11:05,720 --> 00:11:07,880 Speaker 1: You're not getting anything extra. It's one thing to say 238 00:11:08,559 --> 00:11:11,480 Speaker 1: I'm going to buy something for the house or I'm 239 00:11:11,559 --> 00:11:14,640 Speaker 1: going to go on a vacation. Yes, you're spending money, 240 00:11:14,640 --> 00:11:17,000 Speaker 1: but you're getting something in return for it. In the 241 00:11:17,040 --> 00:11:20,800 Speaker 1: case of groceries or the property tax insurance, like all 242 00:11:20,800 --> 00:11:23,680 Speaker 1: these things you have to have, you're getting nothing extra 243 00:11:23,760 --> 00:11:25,719 Speaker 1: for it. You're not buying more food. In fact, you're 244 00:11:25,720 --> 00:11:28,560 Speaker 1: buying less food because of strengthflation or whatever. And I 245 00:11:28,600 --> 00:11:33,760 Speaker 1: think that it's the it's overwhelming because it's so depressing. 246 00:11:34,400 --> 00:11:38,000 Speaker 3: So I saw this report on good Morning. I think 247 00:11:38,000 --> 00:11:40,720 Speaker 3: it's good Morning America. Yeah, is that the ABC one. 248 00:11:40,800 --> 00:11:43,199 Speaker 3: I don't know, that's whatever channel I have on in 249 00:11:43,240 --> 00:11:43,560 Speaker 3: the morning. 250 00:11:43,600 --> 00:11:46,440 Speaker 1: You actually watch network Televira. It's kind of on very 251 00:11:46,520 --> 00:11:49,480 Speaker 1: nineteen ninety seven, and they were they. 252 00:11:49,360 --> 00:11:52,880 Speaker 3: Were covering the same pole, this same survey, and then 253 00:11:52,920 --> 00:11:57,880 Speaker 3: they gave tips on how you can save on grocery starve. 254 00:11:58,360 --> 00:11:59,800 Speaker 2: The number one tip. 255 00:11:59,559 --> 00:12:06,240 Speaker 3: That they get was eliminate food delivery services. And I thought, Okay, 256 00:12:07,000 --> 00:12:09,920 Speaker 3: that's probably not relating so much to people here in 257 00:12:09,960 --> 00:12:14,559 Speaker 3: central India. Sure that's targeted to New Yorkers or you know, 258 00:12:15,080 --> 00:12:20,000 Speaker 3: big city because I just can't imagine somebody paying extra 259 00:12:20,240 --> 00:12:24,160 Speaker 3: for the food delivery on top of the cost of groceries. 260 00:12:24,440 --> 00:12:25,560 Speaker 1: Yeah. 261 00:12:25,720 --> 00:12:26,520 Speaker 2: I mean, if you do. 262 00:12:26,520 --> 00:12:30,080 Speaker 3: It, hey, man, it's your choice, you go for it. Yeah, 263 00:12:30,480 --> 00:12:34,480 Speaker 3: but that just seems like such an incredible extra cost. 264 00:12:34,920 --> 00:12:37,040 Speaker 1: Now, we're not doing very well right now, but you 265 00:12:37,080 --> 00:12:39,960 Speaker 1: know who is doing really well in many cases are 266 00:12:40,000 --> 00:12:42,959 Speaker 1: the nonprofit hospitals in Indiana. This is this is our 267 00:12:43,000 --> 00:12:46,000 Speaker 1: next guest. He's the former head of the FDA. Yeah, 268 00:12:46,120 --> 00:12:49,840 Speaker 1: and he has some startling data on how much nonprofit 269 00:12:49,880 --> 00:12:51,960 Speaker 1: hospitals are making in Indiana, some of them, and how 270 00:12:52,040 --> 00:12:53,320 Speaker 1: much the people who run them are making. 271 00:12:53,400 --> 00:12:56,640 Speaker 3: Yeah, Peter Pitts will join us next on ninety three WIBC. 272 00:12:58,440 --> 00:13:08,600 Speaker 1: This song, Casey. There's an interesting report out about how 273 00:13:08,679 --> 00:13:12,840 Speaker 1: much nonprofit hospitals and the people who run them in 274 00:13:12,880 --> 00:13:15,120 Speaker 1: the state of Indiana supposedly made. 275 00:13:15,280 --> 00:13:20,160 Speaker 3: Yeah, and that's with some state subsidies. So taxpayers are 276 00:13:20,200 --> 00:13:22,120 Speaker 3: on the hook for part of this. And it really 277 00:13:22,559 --> 00:13:24,720 Speaker 3: shows how you and I got into the wrong business 278 00:13:24,800 --> 00:13:25,880 Speaker 3: if we wanted to make money. 279 00:13:26,000 --> 00:13:27,720 Speaker 1: Well we saw this yesterday without what some of the 280 00:13:27,760 --> 00:13:30,280 Speaker 1: fair people are are doing much better than us, and 281 00:13:30,320 --> 00:13:32,559 Speaker 1: now we should have gotten the nonprofit hospital business. So 282 00:13:32,640 --> 00:13:34,280 Speaker 1: this is interesting. It's Kenelly Casey show. By the way, 283 00:13:34,360 --> 00:13:38,760 Speaker 1: I'm Rob, that's Casey. People think nonprofit hospital or hear 284 00:13:38,880 --> 00:13:41,440 Speaker 1: the phrase nonprofit hospital. In fact, this actually came up 285 00:13:41,480 --> 00:13:45,160 Speaker 1: in the legislative session it did this year, and about 286 00:13:45,160 --> 00:13:47,760 Speaker 1: how you can't touch these nonprofit hospitals or how they'll 287 00:13:47,760 --> 00:13:50,280 Speaker 1: cut services potentially to people if you do these these 288 00:13:50,320 --> 00:13:51,240 Speaker 1: healthcare reforms. 289 00:13:51,360 --> 00:13:54,760 Speaker 3: Well you might even remember how some of the CEOs 290 00:13:54,840 --> 00:13:58,240 Speaker 3: were sending out emails to stakeholders guiding them who to 291 00:13:58,320 --> 00:13:59,959 Speaker 3: vote for in the governor election. 292 00:14:00,440 --> 00:14:03,440 Speaker 1: Yeah, so this is fascinating because again people think nonprofit hospital, 293 00:14:03,520 --> 00:14:06,880 Speaker 1: they think some little podunk kind of place that's you know, 294 00:14:06,920 --> 00:14:09,560 Speaker 1: the lights are hanging on by a thread. And the 295 00:14:09,600 --> 00:14:12,040 Speaker 1: reality is, according to this report, no, many of these 296 00:14:12,040 --> 00:14:14,719 Speaker 1: places are doing quite well, and the people who run 297 00:14:14,760 --> 00:14:17,640 Speaker 1: them are doing quite well. And you, Casey, have found 298 00:14:17,640 --> 00:14:19,400 Speaker 1: a very special guest to tell us all about it. 299 00:14:19,480 --> 00:14:19,680 Speaker 3: Yeah. 300 00:14:19,680 --> 00:14:21,840 Speaker 2: Actually this is Peter Pitts. He's joining us. 301 00:14:21,880 --> 00:14:24,920 Speaker 3: He is the former FDA commissioner and he's also with 302 00:14:25,000 --> 00:14:28,800 Speaker 3: the Center for Medicine in the Public Interest. And Peter, 303 00:14:28,960 --> 00:14:32,960 Speaker 3: let's talk about this report and how it reveals Indiana's 304 00:14:33,000 --> 00:14:37,120 Speaker 3: nonprofit hospitals contribute to the rising healthcare costs that we're 305 00:14:37,160 --> 00:14:39,960 Speaker 3: all experiencing. I'd like to start with some of the 306 00:14:40,040 --> 00:14:43,320 Speaker 3: key findings from the report. And you stated that just 307 00:14:43,400 --> 00:14:47,880 Speaker 3: forty seven percent of community investment was allocated to actual 308 00:14:48,480 --> 00:14:52,160 Speaker 3: charity care. So how much do you think is an 309 00:14:52,200 --> 00:14:56,440 Speaker 3: appropriate amount that should be going to charity care? Oh? 310 00:14:56,480 --> 00:14:58,040 Speaker 4: You know. The first thing is people say, you know, why, 311 00:14:58,040 --> 00:15:01,800 Speaker 4: every folks, you are nonprofit hospitals the good doers in 312 00:15:01,840 --> 00:15:04,040 Speaker 4: our healthcare system. But the fact of the matter is 313 00:15:04,360 --> 00:15:06,800 Speaker 4: sixty percent of hospitals in the US are not for profit. 314 00:15:07,280 --> 00:15:10,200 Speaker 4: And it's like, what you know, Willie Sutton, the bank 315 00:15:10,240 --> 00:15:12,240 Speaker 4: Rubber said, that's where the money is. So that's and 316 00:15:12,280 --> 00:15:14,920 Speaker 4: that's certainly where the problem is. You know, these not 317 00:15:14,960 --> 00:15:18,360 Speaker 4: for profit hospitals get billions and twenty five billion dollars 318 00:15:18,360 --> 00:15:23,200 Speaker 4: annually nationally in tax incentives, and yet they don't provide 319 00:15:23,240 --> 00:15:27,080 Speaker 4: an equal amount of community care. In fact, what's kind 320 00:15:27,120 --> 00:15:31,360 Speaker 4: of embarrassing is that Indiana University Health has the honor 321 00:15:31,440 --> 00:15:34,520 Speaker 4: of being the fifth largest it's called fair share deficit 322 00:15:34,600 --> 00:15:37,320 Speaker 4: in the United States. So they collect one hundred and 323 00:15:37,320 --> 00:15:41,760 Speaker 4: thirty six million dollars more in tax credits and benefits 324 00:15:41,760 --> 00:15:44,360 Speaker 4: for being a nonprofit than they actually pay out in 325 00:15:45,320 --> 00:15:48,000 Speaker 4: community care. That's that's that's unacceptable. 326 00:15:48,120 --> 00:15:50,800 Speaker 1: Peter Pitts is our guest. He is the former commissioner 327 00:15:50,800 --> 00:15:54,920 Speaker 1: for the FDA. We're talking about how much nonprofit hospitals 328 00:15:54,920 --> 00:15:56,560 Speaker 1: and the people who run them in the state of 329 00:15:56,600 --> 00:15:58,640 Speaker 1: Indiana are making. And I think that's the other part 330 00:15:58,640 --> 00:16:00,440 Speaker 1: of it too, Peter, I being go into these people 331 00:16:00,520 --> 00:16:03,360 Speaker 1: are at the tippy top of these nonprofit hospitals. They're not. 332 00:16:04,080 --> 00:16:07,280 Speaker 1: They're not in the soup kitchen line. 333 00:16:07,560 --> 00:16:11,040 Speaker 4: They're not. I mean, some of these numbers are pretty substantial. 334 00:16:11,320 --> 00:16:14,640 Speaker 4: Dennis Murphy who's the CEO of Indiana University Health annual 335 00:16:14,640 --> 00:16:17,960 Speaker 4: compensation in twenty twenty three four million dollars Steven Home? 336 00:16:18,040 --> 00:16:21,560 Speaker 4: How much that's that? Four million, nine hundred and seventy 337 00:16:21,600 --> 00:16:25,640 Speaker 4: thousand and thirty nine dollars almost five million dollars? So 338 00:16:25,880 --> 00:16:28,440 Speaker 4: a sneeze under five million dollars. 339 00:16:27,840 --> 00:16:30,320 Speaker 1: Just a sneeze case for a year. And I don't 340 00:16:30,320 --> 00:16:32,200 Speaker 1: know what your contracts is, but I'm guessing it doesn't 341 00:16:32,200 --> 00:16:33,240 Speaker 1: say four point nine million. 342 00:16:33,280 --> 00:16:35,120 Speaker 3: Well, you know, we always wonder who is able to 343 00:16:35,160 --> 00:16:37,520 Speaker 3: buy Jim mersees twelve million dollar home. 344 00:16:38,480 --> 00:16:41,480 Speaker 2: People like this who make five million dollars a year. 345 00:16:41,840 --> 00:16:42,480 Speaker 2: Do you have another? 346 00:16:44,240 --> 00:16:47,680 Speaker 4: Yeah, Brian Mills, who has Community Health Network two million, 347 00:16:47,840 --> 00:16:50,840 Speaker 4: nine to five to almost three sneeze under three million dollars. 348 00:16:51,160 --> 00:16:53,800 Speaker 4: Kevin Lay, Who's Kevin Lay? Who the president of Franciscan 349 00:16:53,840 --> 00:16:56,960 Speaker 4: Alliance two million, sixty six five. So he's pulling up there. 350 00:16:57,000 --> 00:17:00,280 Speaker 4: He's the guy looking for government benefits. He's only running billion, 351 00:17:00,680 --> 00:17:02,200 Speaker 4: six six five zero zero weights. 352 00:17:02,240 --> 00:17:04,639 Speaker 1: Okay, So these are huge numbers. So, Peter, I was 353 00:17:04,680 --> 00:17:06,720 Speaker 1: going to ask you because, like Casey and I just said, 354 00:17:06,760 --> 00:17:09,359 Speaker 1: there was this big brew haha this year about healthcare 355 00:17:09,400 --> 00:17:12,920 Speaker 1: reform in Indiana, and there was all these this conversation 356 00:17:12,960 --> 00:17:15,960 Speaker 1: about well, if you do this or you do that, 357 00:17:16,160 --> 00:17:19,600 Speaker 1: these rural hospitals, these county hospital, these non profit hospitals, 358 00:17:19,720 --> 00:17:22,320 Speaker 1: they're going to be basically, you know, turning the lights 359 00:17:22,320 --> 00:17:24,959 Speaker 1: out and shuttering the doors, and people want of access 360 00:17:25,000 --> 00:17:28,600 Speaker 1: to care, like are are are these the exception to 361 00:17:28,640 --> 00:17:30,480 Speaker 1: the rule that you're laying out or are we seeing 362 00:17:30,520 --> 00:17:32,960 Speaker 1: all over the place that these non profit hospitals across 363 00:17:32,960 --> 00:17:35,159 Speaker 1: the state are doing quite well and most mortly the 364 00:17:35,200 --> 00:17:37,040 Speaker 1: people who run them. 365 00:17:37,240 --> 00:17:40,320 Speaker 4: Well, yeah, obviously the biggest players are are taking the 366 00:17:40,320 --> 00:17:43,959 Speaker 4: most advantage of the system, and the smaller hospitals suffered 367 00:17:44,119 --> 00:17:46,560 Speaker 4: because of that. And you mentioned the Indiana Hospital and 368 00:17:46,600 --> 00:17:49,560 Speaker 4: the Indiana you know how to bill you know, one 369 00:17:49,600 --> 00:17:52,480 Speaker 4: thousand and four and it's it's threatened not for profit 370 00:17:52,560 --> 00:17:55,640 Speaker 4: status for hospitals charging more than two hundred percent of Medicare, 371 00:17:56,400 --> 00:18:00,679 Speaker 4: and the IU Health CEO email stakeholders to vote against that. 372 00:18:01,160 --> 00:18:03,320 Speaker 4: You know, they know they're they're they're they are acting 373 00:18:03,400 --> 00:18:06,040 Speaker 4: like for profit hospitals. They are acting there. They are 374 00:18:06,080 --> 00:18:08,800 Speaker 4: fee based hospitals, which means that they're getting paid for 375 00:18:09,000 --> 00:18:11,720 Speaker 4: all the things that they do rather than any rather 376 00:18:11,760 --> 00:18:14,679 Speaker 4: than the value they provide. So it's feed based versus 377 00:18:14,920 --> 00:18:17,000 Speaker 4: value based. And you think that for a not for 378 00:18:17,040 --> 00:18:19,480 Speaker 4: profit entity, they'd be focused on the outcome of the 379 00:18:19,520 --> 00:18:23,080 Speaker 4: patient more than for profit hospitals, and that's not the case. 380 00:18:23,320 --> 00:18:25,800 Speaker 3: Well, some hospitals say that they need the big profits 381 00:18:25,800 --> 00:18:28,399 Speaker 3: and the high paid to run well and hire top talent. 382 00:18:28,800 --> 00:18:30,120 Speaker 3: What's your response to that. 383 00:18:31,680 --> 00:18:34,000 Speaker 4: I'm all for paying top talent top dollar, but at 384 00:18:34,000 --> 00:18:36,960 Speaker 4: a certain point it becomes ridiculous. You know, the mission 385 00:18:36,960 --> 00:18:39,520 Speaker 4: of a not for profit hospital, you know a huge 386 00:18:39,520 --> 00:18:42,439 Speaker 4: part of that mission is to provide community services and 387 00:18:42,520 --> 00:18:45,440 Speaker 4: charity care. And yet many of these hospitals don't want 388 00:18:45,440 --> 00:18:48,240 Speaker 4: to do that. They want to go after insured individuals, 389 00:18:48,240 --> 00:18:51,160 Speaker 4: wealthy individuals where they can collect more fees. And that's 390 00:18:51,200 --> 00:18:56,240 Speaker 4: true across the board, certainly the largest Indianapolis UH hospitals. 391 00:18:56,320 --> 00:18:58,919 Speaker 4: And they've got to they've got to refocus their mission. 392 00:18:59,160 --> 00:19:03,280 Speaker 4: You know, they can't be looking about gaining profit by lobbying, 393 00:19:03,359 --> 00:19:06,240 Speaker 4: by advertising to wealthy patients. They have to focus on 394 00:19:06,320 --> 00:19:09,359 Speaker 4: their core mission, which is why they receive these billions 395 00:19:09,400 --> 00:19:12,160 Speaker 4: of dollars in tax incentives. 396 00:19:12,520 --> 00:19:13,760 Speaker 2: Peter Pitts is joining us. 397 00:19:13,760 --> 00:19:16,399 Speaker 3: He's the former FDA commissioner also with the Center for 398 00:19:16,480 --> 00:19:19,920 Speaker 3: Medicine and the Public Interest, and part of your report 399 00:19:20,040 --> 00:19:23,960 Speaker 3: says that these non for profit hospitals are contributing to 400 00:19:24,000 --> 00:19:27,399 Speaker 3: the rising healthcare costs that we all experience. So I 401 00:19:27,440 --> 00:19:29,760 Speaker 3: would like for you to speak on these subsidies that 402 00:19:29,840 --> 00:19:30,600 Speaker 3: they receive. 403 00:19:32,880 --> 00:19:34,920 Speaker 4: So first you have to realize that over the last 404 00:19:35,119 --> 00:19:38,159 Speaker 4: twenty five years, hospital prices have gone up two hundred 405 00:19:38,240 --> 00:19:41,480 Speaker 4: and fifty percent. Think about that, two hundred and fifty percent. 406 00:19:41,720 --> 00:19:45,880 Speaker 4: That's triple the rate of general economic inflation. I've at 407 00:19:46,160 --> 00:19:49,920 Speaker 4: eighty percent of nonprofit hospitals nationally spent less on financial 408 00:19:49,920 --> 00:19:53,359 Speaker 4: assistance and community investment than the estimated value of their 409 00:19:53,400 --> 00:19:57,240 Speaker 4: tax breaks. That's what a fair share deficit means. Think 410 00:19:57,280 --> 00:20:01,280 Speaker 4: about this. So that's twenty five point seven billion in deficits. 411 00:20:01,320 --> 00:20:03,359 Speaker 4: That's enough to care to pay off all the medical 412 00:20:03,400 --> 00:20:06,840 Speaker 4: depths of everybody in California, Texas, New New York, and Pennsylvania. 413 00:20:07,000 --> 00:20:10,480 Speaker 4: It's an enormous number. And in Indiana, not the profit 414 00:20:10,520 --> 00:20:14,320 Speaker 4: hospitals received about one point three billion dollars in tax benefits. 415 00:20:14,800 --> 00:20:18,760 Speaker 4: Despite that huge amount of money, only sixty six percent 416 00:20:18,920 --> 00:20:22,240 Speaker 4: of Indiana not for profit hospitals at a fair share 417 00:20:22,240 --> 00:20:25,040 Speaker 4: of deficit. So sixty six percent of all the hospitals 418 00:20:25,080 --> 00:20:28,480 Speaker 4: in Indiana are bringing in more than they're sharing with 419 00:20:28,520 --> 00:20:29,080 Speaker 4: the community. 420 00:20:29,240 --> 00:20:30,720 Speaker 1: Well, yeah, and I think and I got about a 421 00:20:30,720 --> 00:20:33,800 Speaker 1: minute left here, but Peter, I think it was the 422 00:20:33,840 --> 00:20:36,119 Speaker 1: EU Health guy who's making almost five million dollars, Is 423 00:20:36,160 --> 00:20:36,520 Speaker 1: that right? 424 00:20:37,960 --> 00:20:38,200 Speaker 4: Yep? 425 00:20:38,359 --> 00:20:42,320 Speaker 1: Okay, So think about if he made three and a 426 00:20:42,359 --> 00:20:45,399 Speaker 1: half million, certainly not going to be hurting. Think of 427 00:20:45,440 --> 00:20:49,760 Speaker 1: all the healthcare they could have provided to poor indigen people, right. 428 00:20:49,760 --> 00:20:51,520 Speaker 1: I think that's the kind of what you're getting at, 429 00:20:51,600 --> 00:20:53,480 Speaker 1: is there's no reason for a guy to be making 430 00:20:53,520 --> 00:20:56,000 Speaker 1: that much money when the mission is supposed to be 431 00:20:56,040 --> 00:20:58,560 Speaker 1: to serve the poor of the indigen the hurting in 432 00:20:58,560 --> 00:20:59,320 Speaker 1: our society. 433 00:21:00,400 --> 00:21:02,719 Speaker 4: That's exactly right. And this is not disrespect the doctors 434 00:21:02,720 --> 00:21:04,000 Speaker 4: and the nurses and people that work on the air 435 00:21:04,080 --> 00:21:06,680 Speaker 4: fishing units in hospitals and they do yeomen's work, and 436 00:21:06,720 --> 00:21:08,960 Speaker 4: yeah they are they are healthcare heroes. But I think 437 00:21:08,960 --> 00:21:11,640 Speaker 4: they are really being betrayed by their upper management who 438 00:21:11,840 --> 00:21:14,520 Speaker 4: are taking these huge salaries, who are not doing the 439 00:21:14,560 --> 00:21:17,760 Speaker 4: right thing. If you took all the Indiana fair to 440 00:21:17,800 --> 00:21:20,200 Speaker 4: shared deficits, which equals about the one hundred and thirty 441 00:21:20,240 --> 00:21:23,280 Speaker 4: six million dollars a year you could erase sixty six thousand, 442 00:21:23,359 --> 00:21:27,040 Speaker 4: five and eighteen individual medical debts for hoosiers in Indiana. 443 00:21:27,119 --> 00:21:29,639 Speaker 4: Think about that, over sixty six thousand hoosiers could have 444 00:21:29,680 --> 00:21:32,280 Speaker 4: the medical debts you race if these hospitals did the 445 00:21:32,320 --> 00:21:32,720 Speaker 4: right thing. 446 00:21:33,240 --> 00:21:35,760 Speaker 1: All right, Peter Man, this is great stuff. Casey, take 447 00:21:35,800 --> 00:21:36,120 Speaker 1: us home. 448 00:21:36,200 --> 00:21:38,480 Speaker 3: Yeah, Peter, where can people find the report or more 449 00:21:38,480 --> 00:21:39,480 Speaker 3: information about you? 450 00:21:41,000 --> 00:21:43,119 Speaker 4: Thanks for asking out on both and certainly for the 451 00:21:43,200 --> 00:21:46,639 Speaker 4: report is now online at our website, which is CMPI 452 00:21:47,119 --> 00:21:50,320 Speaker 4: dot org Center from Medicine in the Public Interest, and 453 00:21:50,359 --> 00:21:52,920 Speaker 4: you know, check it out. Look at the numbers. Unfortunately, 454 00:21:52,920 --> 00:21:55,480 Speaker 4: the numbers speak for themselves. There's got to be some 455 00:21:55,600 --> 00:21:56,480 Speaker 4: change going on here. 456 00:21:56,720 --> 00:21:58,960 Speaker 2: That's CMPI dot org. 457 00:21:59,000 --> 00:22:01,000 Speaker 3: Thank you, Peter Pitts for jo winning us. It is 458 00:22:01,119 --> 00:22:03,760 Speaker 3: Kendall and Casey on ninety three WIBC. 459 00:22:06,200 --> 00:22:10,040 Speaker 1: Well, the governor and the Lieutenant governor better get the 460 00:22:10,080 --> 00:22:11,159 Speaker 1: walking shoes on, Casey. 461 00:22:11,240 --> 00:22:12,800 Speaker 2: Yeah, why's that they're going somewhere? 462 00:22:12,840 --> 00:22:15,760 Speaker 1: Well, there's some school referendums that are about to be afoot. 463 00:22:15,760 --> 00:22:18,960 Speaker 1: And the governor promised me the last conversation I ever 464 00:22:19,040 --> 00:22:21,640 Speaker 1: had with the governor. He looked right at me when 465 00:22:21,680 --> 00:22:25,000 Speaker 1: he told me he was about to screw millions of 466 00:22:25,040 --> 00:22:27,359 Speaker 1: people and sign off on that property tax plan, that 467 00:22:27,440 --> 00:22:29,760 Speaker 1: he would personally put on his walking. 468 00:22:29,560 --> 00:22:31,960 Speaker 2: Shoes and go door to door in any. 469 00:22:31,800 --> 00:22:34,200 Speaker 1: Place to that referendum, because I said, as soon as 470 00:22:34,200 --> 00:22:37,639 Speaker 1: you people sign off on this, the referendums are going 471 00:22:37,720 --> 00:22:40,679 Speaker 1: to be flying out the window. And I laughed at 472 00:22:40,720 --> 00:22:43,000 Speaker 1: him and I said, that'll never happen. And then I 473 00:22:43,000 --> 00:22:46,639 Speaker 1: think on our radio show, the lieutenant governor, second to 474 00:22:46,720 --> 00:22:49,280 Speaker 1: that effort, said, sign me up. I'm going to be 475 00:22:49,600 --> 00:22:52,960 Speaker 1: knocking on doors and all these communities that are having referendums, well, 476 00:22:53,000 --> 00:22:56,080 Speaker 1: I've got one for him, right in their own backyard. Casey. 477 00:22:56,160 --> 00:22:56,320 Speaker 3: Yeah. 478 00:22:56,359 --> 00:22:57,760 Speaker 2: They don't have to go very far, do they. 479 00:22:57,920 --> 00:23:01,920 Speaker 1: Boy, this is these school people. These public school people 480 00:23:01,920 --> 00:23:05,119 Speaker 1: are some of the dirtiest, most rotten, disgusting people. So 481 00:23:05,720 --> 00:23:07,520 Speaker 1: one of the I would say mistake, but I think 482 00:23:07,560 --> 00:23:10,840 Speaker 1: they did it deliberately when they passed the property tax abomination, 483 00:23:11,760 --> 00:23:15,600 Speaker 1: was they, like the rest of laws, didn't it doesn't 484 00:23:15,600 --> 00:23:17,720 Speaker 1: take effect until the lifers, or didn't take effect until 485 00:23:17,800 --> 00:23:21,199 Speaker 1: July first, right, which meant one of the major changes 486 00:23:21,280 --> 00:23:23,800 Speaker 1: that they did, which was actually positive. If you're not 487 00:23:23,800 --> 00:23:26,160 Speaker 1: gonna get rid of the referendums, at least make them 488 00:23:26,200 --> 00:23:31,800 Speaker 1: go to even year general ballot elections where people actually 489 00:23:31,800 --> 00:23:35,240 Speaker 1: show up to vote, so the midterm, the general election, 490 00:23:35,320 --> 00:23:38,600 Speaker 1: the midterm, or the presidential years. Because what these school 491 00:23:38,640 --> 00:23:43,320 Speaker 1: systems were doing, deliberately because they're manipulative, rotten people, is 492 00:23:43,359 --> 00:23:47,280 Speaker 1: they would have these referendums in primaries of odd years 493 00:23:47,359 --> 00:23:49,640 Speaker 1: where nobody normally votes unless you live in a city 494 00:23:49,720 --> 00:23:51,879 Speaker 1: or a town, and nobody shows up to vote those anyway, 495 00:23:52,080 --> 00:23:53,280 Speaker 1: and they knew they. 496 00:23:53,240 --> 00:23:54,080 Speaker 2: Could stack the decks. 497 00:23:54,119 --> 00:23:55,520 Speaker 1: We'll get all of our people to show up to vote. 498 00:23:55,560 --> 00:23:57,000 Speaker 1: Most people don't even know they go vote, and this 499 00:23:57,040 --> 00:23:59,520 Speaker 1: is how we'll get them passed. Well, because and I 500 00:23:59,600 --> 00:24:04,000 Speaker 1: told Brawn this was gonna happen, they will just flood 501 00:24:04,040 --> 00:24:06,240 Speaker 1: these school corporations because a lot didn't take effect to 502 00:24:06,359 --> 00:24:10,399 Speaker 1: July first, they will be the school corporations will push 503 00:24:10,480 --> 00:24:13,840 Speaker 1: these referendums to a ballot this year because while it's 504 00:24:13,880 --> 00:24:16,800 Speaker 1: not a primary ballot, it's a fall ballot in an 505 00:24:16,800 --> 00:24:19,560 Speaker 1: odd year where there's nothing to vote for. And boy howdy, 506 00:24:19,840 --> 00:24:22,000 Speaker 1: who went first to the front of the line of 507 00:24:22,040 --> 00:24:25,600 Speaker 1: the scumbags r us. It's the Avon Community School Corporation. 508 00:24:25,920 --> 00:24:28,160 Speaker 2: Boy, So yes for Avon schools. 509 00:24:28,320 --> 00:24:31,840 Speaker 3: Uh. They've got a political action committee, a pack is formed, 510 00:24:32,200 --> 00:24:35,160 Speaker 3: and they're trying to get people registered to vote. 511 00:24:35,280 --> 00:24:37,560 Speaker 2: Yes, what what are they referending? 512 00:24:37,840 --> 00:24:40,800 Speaker 1: Well, they had one in twenty eighteen. And by the way, 513 00:24:40,960 --> 00:24:43,959 Speaker 1: let me say something nice about the Brownsburg School system, 514 00:24:44,040 --> 00:24:46,840 Speaker 1: because we've had our disagreements over the years. But the 515 00:24:46,880 --> 00:24:49,840 Speaker 1: one thing those people have always done after they lost 516 00:24:49,840 --> 00:24:52,920 Speaker 1: a referendum is they've stayed out of the referendum game 517 00:24:52,960 --> 00:24:56,240 Speaker 1: and they're still pledging to do that. So you sometimes 518 00:24:57,119 --> 00:24:58,840 Speaker 1: you just got to look to the neighbor to the 519 00:24:58,880 --> 00:25:02,560 Speaker 1: south to realize how kind of okay maybe you actually 520 00:25:02,560 --> 00:25:05,680 Speaker 1: have it. So Amon had a referendum in twenty eighteen, 521 00:25:05,760 --> 00:25:07,920 Speaker 1: because of course, you can never just live within your means. 522 00:25:07,960 --> 00:25:09,520 Speaker 1: You can never just make a cut somewhere. You can 523 00:25:09,560 --> 00:25:12,280 Speaker 1: never just actually abide by the will of the people, 524 00:25:12,320 --> 00:25:15,560 Speaker 1: which is the property tax caps which they passed. What 525 00:25:15,600 --> 00:25:18,760 Speaker 1: Avon recognized was it will be much harder for us 526 00:25:18,760 --> 00:25:21,640 Speaker 1: to pass the thing next year when people actually show 527 00:25:21,680 --> 00:25:24,000 Speaker 1: up to vote. So instead of doing the right thing, 528 00:25:24,040 --> 00:25:26,200 Speaker 1: which is adhering to the will of the General Assembly. 529 00:25:26,480 --> 00:25:28,639 Speaker 1: They sprint it in and we played the Remember we 530 00:25:28,640 --> 00:25:31,520 Speaker 1: played the audio from the superintendent. They had that hidden 531 00:25:31,880 --> 00:25:35,080 Speaker 1: video where the public couldn't see it, but somebody alerted 532 00:25:35,119 --> 00:25:37,200 Speaker 1: me to it, so we put it out there about 533 00:25:37,320 --> 00:25:40,320 Speaker 1: how they were They were just rushing this referendum. They 534 00:25:40,400 --> 00:25:42,199 Speaker 1: want to do it on the fall ballot this year, 535 00:25:42,200 --> 00:25:45,000 Speaker 1: when nobody will know to vote, and that way they'll 536 00:25:45,000 --> 00:25:46,320 Speaker 1: have a better chance to pass it. Because it's not 537 00:25:46,359 --> 00:25:48,479 Speaker 1: about what's right. It's not about a public discussion. It's 538 00:25:48,520 --> 00:25:50,720 Speaker 1: not about what's doing best for the community. It's about 539 00:25:50,760 --> 00:25:54,280 Speaker 1: what's doing best for them. The public school system will 540 00:25:54,359 --> 00:25:57,960 Speaker 1: always do what's best for them, that benefits them at 541 00:25:57,960 --> 00:26:01,040 Speaker 1: the expense of you. And in this case, they said, 542 00:26:01,080 --> 00:26:03,640 Speaker 1: we'll screw that. We don't care about your stupid law. 543 00:26:03,760 --> 00:26:06,320 Speaker 1: And I told Braun, this is going to happen, and 544 00:26:06,359 --> 00:26:10,120 Speaker 1: it's happening. So Ron promised me and Micah was there 545 00:26:10,280 --> 00:26:13,320 Speaker 1: and Sherry's chiefest staff was there that they that he'd 546 00:26:13,320 --> 00:26:15,760 Speaker 1: get on his walking shoes and he'd go knock door 547 00:26:15,800 --> 00:26:18,080 Speaker 1: to door. Somethink Fort Wayne Schools is doing the same thing. 548 00:26:18,400 --> 00:26:20,520 Speaker 1: So I want to know when the governor is going 549 00:26:20,600 --> 00:26:24,159 Speaker 1: to get those orthopedic walking shoes on and start knocking 550 00:26:24,200 --> 00:26:27,720 Speaker 1: on people's doors in the Amon's school system and start 551 00:26:27,760 --> 00:26:29,600 Speaker 1: telling him to vote against this referendum. And I want 552 00:26:29,600 --> 00:26:30,959 Speaker 1: to know when Mike is going to do it. 553 00:26:31,280 --> 00:26:33,360 Speaker 3: All right, Rob, I'm going to hold your hand while 554 00:26:33,400 --> 00:26:37,840 Speaker 3: I tell you this. He has told you things in 555 00:26:37,840 --> 00:26:42,320 Speaker 3: the past, but he didn't do He's gone back on 556 00:26:42,400 --> 00:26:48,520 Speaker 3: his word on other things before, so I think you 557 00:26:48,520 --> 00:26:53,720 Speaker 3: should lower your expectations. Oh that maybe he won't do 558 00:26:53,840 --> 00:26:54,280 Speaker 3: it again. 559 00:26:54,520 --> 00:26:59,120 Speaker 1: Oh okay, let me can I translate? Can I take 560 00:26:59,119 --> 00:27:01,720 Speaker 1: a stab of this? Are you saying he's a dirt 561 00:27:01,760 --> 00:27:03,160 Speaker 1: bag scumball liar? 562 00:27:03,600 --> 00:27:05,639 Speaker 2: Well, you know them's fighting words. 563 00:27:05,840 --> 00:27:07,960 Speaker 3: I was trying to be a little chiller about it, 564 00:27:08,480 --> 00:27:12,560 Speaker 3: but I don't think that you should expect him to 565 00:27:12,600 --> 00:27:15,080 Speaker 3: be in Avon knocking on doors anytime soon. 566 00:27:15,240 --> 00:27:18,919 Speaker 1: I would probably pass out at the sight of watching 567 00:27:18,960 --> 00:27:21,199 Speaker 1: the governor actually go to a local And that's why 568 00:27:21,240 --> 00:27:23,520 Speaker 1: it's like, you're ridiculous. I told him Mat at the meeting. 569 00:27:23,600 --> 00:27:25,439 Speaker 1: I was like, well, I can't wait to see that. 570 00:27:25,600 --> 00:27:27,960 Speaker 1: Oh go knock on door? Oh yeah, right, sure? 571 00:27:28,160 --> 00:27:28,360 Speaker 4: Yeah. 572 00:27:28,400 --> 00:27:30,160 Speaker 3: Could you imagine if you were at home one day 573 00:27:30,359 --> 00:27:33,000 Speaker 3: and you get the and you go to the front 574 00:27:33,000 --> 00:27:33,879 Speaker 3: door and it's the governor. 575 00:27:33,920 --> 00:27:35,679 Speaker 1: But that's what should be doing you do if he 576 00:27:35,760 --> 00:27:38,880 Speaker 1: really believes in property tax reform. I mean, we're laughing 577 00:27:38,920 --> 00:27:41,640 Speaker 1: at this. Of course he won't do anything, and he'll 578 00:27:41,640 --> 00:27:44,760 Speaker 1: probably deny he said it. The great thing about Mike 579 00:27:44,880 --> 00:27:46,520 Speaker 1: is I think he said it on our show, so 580 00:27:46,560 --> 00:27:48,479 Speaker 1: we could always go back and pull the audio if 581 00:27:48,480 --> 00:27:52,000 Speaker 1: we need to. They should be doing this if you 582 00:27:52,080 --> 00:27:55,200 Speaker 1: actually care about property tax reform and helping people stay 583 00:27:55,200 --> 00:27:57,520 Speaker 1: in their homes, which we all know he doesn't well 584 00:27:57,520 --> 00:27:58,879 Speaker 1: and he doesn't care at all. That's why he signed 585 00:27:58,880 --> 00:28:00,119 Speaker 1: off on the thing. That's why he didn't veat to, 586 00:28:00,200 --> 00:28:02,920 Speaker 1: That's why I didn't fight. But if you actually cared, 587 00:28:03,160 --> 00:28:07,200 Speaker 1: these referendums are never needed. The referendums bail out lazy 588 00:28:07,280 --> 00:28:10,280 Speaker 1: school corporations who don't want to get their act together. 589 00:28:11,359 --> 00:28:15,000 Speaker 1: The place I live has done now in the past 590 00:28:15,040 --> 00:28:17,479 Speaker 1: ten years, probably close to two hundred and fifty million 591 00:28:17,520 --> 00:28:20,640 Speaker 1: dollars in construction projects, and they don't have a referendum. 592 00:28:20,960 --> 00:28:24,440 Speaker 1: Why because, to their credit, while I've had we've had 593 00:28:24,440 --> 00:28:27,240 Speaker 1: our differences, and they had to be forced back to 594 00:28:27,320 --> 00:28:30,760 Speaker 1: the table. They proved you can do it if you're 595 00:28:30,800 --> 00:28:32,679 Speaker 1: smart with your money and how you manage and how 596 00:28:32,720 --> 00:28:34,320 Speaker 1: you move and how you save and all these things. 597 00:28:34,520 --> 00:28:37,960 Speaker 1: These school systems just don't want to do it. Casey, 598 00:28:38,160 --> 00:28:40,560 Speaker 1: you have driven past my house. I live right near 599 00:28:41,160 --> 00:28:45,440 Speaker 1: the monstrosity in question. If those people can figure it out, 600 00:28:45,600 --> 00:28:48,760 Speaker 1: don't you think and all that stuff, there's colleges that 601 00:28:48,800 --> 00:28:51,480 Speaker 1: aren't as nice as the Brownsburg school system. Don't you 602 00:28:51,520 --> 00:28:53,880 Speaker 1: think everybody should be able to get it together. Everybody 603 00:28:53,880 --> 00:28:55,080 Speaker 1: should be able to figure it out. 604 00:28:55,360 --> 00:28:58,560 Speaker 2: Do you know what the referendum is for? Does it say, well, 605 00:28:58,640 --> 00:29:01,120 Speaker 2: I think it was ure looking for a new football field? 606 00:29:01,200 --> 00:29:01,640 Speaker 4: No? 607 00:29:01,640 --> 00:29:03,880 Speaker 1: No, no, no. The last time they always do the 608 00:29:03,880 --> 00:29:07,640 Speaker 1: same thing. Here's what the pack people say. It's helped 609 00:29:07,680 --> 00:29:12,160 Speaker 1: them maintain small class sizes, tracked and retain great teachers, 610 00:29:12,360 --> 00:29:16,280 Speaker 1: and continue to providing supports for students success. What the 611 00:29:16,320 --> 00:29:17,400 Speaker 1: hell does that mean? 612 00:29:17,480 --> 00:29:19,760 Speaker 2: Okay, so they want to give people raises. 613 00:29:19,520 --> 00:29:21,640 Speaker 1: Well, I don't know. I mean, I don't know did 614 00:29:21,680 --> 00:29:25,400 Speaker 1: they get the raises last time? But if why is 615 00:29:25,400 --> 00:29:28,840 Speaker 1: it somebody else's job to have their tax caps violated 616 00:29:29,280 --> 00:29:32,000 Speaker 1: so that you can figure out how to pay people properly? Right, 617 00:29:32,520 --> 00:29:35,880 Speaker 1: there's never a reason for it it's never okay. All 618 00:29:35,880 --> 00:29:39,000 Speaker 1: of these school systems who do it are just lazy, 619 00:29:39,040 --> 00:29:42,400 Speaker 1: incompetent people who don't want to do hard work, period, 620 00:29:42,680 --> 00:29:46,560 Speaker 1: full stop. All Right, I feel better now, I told you, 621 00:29:46,600 --> 00:29:47,720 Speaker 1: didn't I warn you? Hey? 622 00:29:47,720 --> 00:29:50,080 Speaker 2: What is going on with Brownsburg? Didn't they table something 623 00:29:50,080 --> 00:29:50,480 Speaker 2: at your. 624 00:29:50,440 --> 00:29:54,200 Speaker 1: Last the water there's still there's still in the researching table. 625 00:29:55,360 --> 00:29:56,080 Speaker 2: Pick update on that. 626 00:29:56,200 --> 00:29:59,160 Speaker 1: Well, they're still researching how to deal with the freeloaders 627 00:29:59,200 --> 00:30:02,280 Speaker 1: who apparently make everybody else or helping cause people pay 628 00:30:02,320 --> 00:30:04,160 Speaker 1: more for water. I'm trying to figure out where the 629 00:30:04,200 --> 00:30:05,800 Speaker 1: thing I said. I was trying to find this direct 630 00:30:05,960 --> 00:30:08,880 Speaker 1: quote about what I said about the Avon school system 631 00:30:08,880 --> 00:30:10,480 Speaker 1: and see if I could actually say it on the air. 632 00:30:12,320 --> 00:30:15,600 Speaker 1: I don't see it. That's too bad your Twitter account. 633 00:30:15,600 --> 00:30:17,240 Speaker 1: No what I sent to you? 634 00:30:17,360 --> 00:30:18,560 Speaker 2: Oh what you sent to me? 635 00:30:18,680 --> 00:30:20,239 Speaker 1: Yeah, I told you what I wanted to say about him. 636 00:30:20,480 --> 00:30:21,480 Speaker 2: I got what you sent to me. 637 00:30:21,720 --> 00:30:22,360 Speaker 1: What can you read it? 638 00:30:22,360 --> 00:30:23,760 Speaker 2: On the said, let's talk about this. 639 00:30:23,960 --> 00:30:27,440 Speaker 3: Mike and Braun promised to walk to defeat all school referendums. 640 00:30:27,640 --> 00:30:29,120 Speaker 1: I thought I said something worse than that. Maybe that 641 00:30:29,200 --> 00:30:29,960 Speaker 1: was to somebody else. 642 00:30:30,720 --> 00:30:32,680 Speaker 2: Well, you did say something worse, and I'm not going 643 00:30:32,720 --> 00:30:33,160 Speaker 2: to read that. 644 00:30:34,680 --> 00:30:37,320 Speaker 1: I knew I said something worse than that. Yeah, there 645 00:30:37,320 --> 00:30:37,600 Speaker 1: we go. 646 00:30:38,320 --> 00:30:52,880 Speaker 5: You're listening to Kennel and Casey. It's ninety three WYBC, So. 647 00:30:52,920 --> 00:30:55,720 Speaker 1: You are totally interested in this Laurel Lumer. 648 00:30:56,240 --> 00:30:59,840 Speaker 3: Well, you know they're fighting anytime there's a public feud 649 00:31:00,320 --> 00:31:02,640 Speaker 3: kind of like, you know what, what's going on over there? 650 00:31:02,680 --> 00:31:04,280 Speaker 2: Why are these two mad at each other? 651 00:31:04,640 --> 00:31:07,160 Speaker 1: So it's Kennley Casey show. I'm rob that's Casey. So 652 00:31:07,240 --> 00:31:09,840 Speaker 1: Laura Lumer has trained her sites on. So for that, 653 00:31:09,920 --> 00:31:12,040 Speaker 1: you don't know most people know Laura Lumer is sort 654 00:31:12,040 --> 00:31:15,400 Speaker 1: of an independent citizen journalist. She's not she's her own thing. 655 00:31:16,280 --> 00:31:18,080 Speaker 1: What I mean by that is like she's not connected 656 00:31:18,120 --> 00:31:20,120 Speaker 1: to She don't work for Fox News or anything like that. 657 00:31:20,320 --> 00:31:23,000 Speaker 1: She has a podcast, she does a lot of you know, 658 00:31:23,040 --> 00:31:28,120 Speaker 1: Twitter reporting, et cetera. And she is probably best known 659 00:31:28,160 --> 00:31:31,640 Speaker 1: because she got banned off all social media for several 660 00:31:31,720 --> 00:31:36,160 Speaker 1: years pre Elon musk restaking is staking the claim to 661 00:31:36,240 --> 00:31:39,240 Speaker 1: Twitter and letting her back on and and she was 662 00:31:39,280 --> 00:31:42,400 Speaker 1: an investigative reporter. Again, I think she's always kind of 663 00:31:42,400 --> 00:31:44,680 Speaker 1: been on her own stuff. She famously went to like 664 00:31:45,040 --> 00:31:48,400 Speaker 1: book signings and would you know, try to question Hillary 665 00:31:48,400 --> 00:31:51,760 Speaker 1: Clinton and and we'll get the second. Like we used 666 00:31:51,760 --> 00:31:53,600 Speaker 1: to used to have Laura Lumor on My Sunday Show 667 00:31:53,600 --> 00:31:56,080 Speaker 1: when it was the Rob Kendall Show, when I when 668 00:31:56,160 --> 00:31:57,760 Speaker 1: I was the producer for the Chicks on the Right. 669 00:31:58,200 --> 00:32:03,400 Speaker 1: And it's been fascinating to her rise inside of not 670 00:32:03,520 --> 00:32:06,160 Speaker 1: the Republican circles, but really the Trump orbit. 671 00:32:06,320 --> 00:32:09,240 Speaker 2: I was going to say, Yeah, she's always around Trump. 672 00:32:09,000 --> 00:32:12,480 Speaker 1: And she has a ton of influence with Trump, and 673 00:32:12,960 --> 00:32:15,680 Speaker 1: he clearly reads and listens to her stuff. But what 674 00:32:15,800 --> 00:32:17,760 Speaker 1: is she feuding with Tucker Carlson about what's going on? 675 00:32:17,840 --> 00:32:21,040 Speaker 3: Well, Carlson referred to her as the world's creepiest human. 676 00:32:21,200 --> 00:32:25,400 Speaker 3: He said that during a podcast appearance. And so she 677 00:32:25,600 --> 00:32:28,120 Speaker 3: of course has kicked up her criticism of him. 678 00:32:28,760 --> 00:32:30,320 Speaker 2: She accused him of being. 679 00:32:30,240 --> 00:32:36,240 Speaker 3: Financially influenced by foreign entities, and she alleged that Cutter 680 00:32:36,320 --> 00:32:40,600 Speaker 3: and Iran had ties to his media operations, and of 681 00:32:40,600 --> 00:32:42,000 Speaker 3: course his team. 682 00:32:41,760 --> 00:32:43,920 Speaker 2: Has denied any of those allegations. 683 00:32:44,440 --> 00:32:49,400 Speaker 3: But the feud even intensified because they have different stances 684 00:32:49,440 --> 00:32:53,200 Speaker 3: on the US military involvement in Iran. Okay, so this 685 00:32:53,280 --> 00:32:56,320 Speaker 3: is Carlson didn't like what Trump was doing. And Lumer 686 00:32:57,080 --> 00:32:58,920 Speaker 3: was a staunch supporter of Trump. 687 00:32:59,040 --> 00:33:00,720 Speaker 1: Now what's interesting about Lumer? And, like I said, I 688 00:33:00,840 --> 00:33:04,000 Speaker 1: knew her. She was a known quantity. She was not 689 00:33:04,520 --> 00:33:07,680 Speaker 1: nearly as famous as she is now. And I said, 690 00:33:07,720 --> 00:33:09,200 Speaker 1: you know what a both the good and the bad? 691 00:33:09,280 --> 00:33:11,560 Speaker 1: Right she was. She had just done the stuff with 692 00:33:11,600 --> 00:33:14,760 Speaker 1: the Hillary Clinton book tour. We had a mutual, I 693 00:33:14,800 --> 00:33:17,320 Speaker 1: don't know, friend acquaintance that kind of connected us. And 694 00:33:17,320 --> 00:33:19,600 Speaker 1: she used to come on the on the show quite 695 00:33:19,600 --> 00:33:21,480 Speaker 1: a bit and we talk about a variety of things. 696 00:33:21,520 --> 00:33:24,960 Speaker 1: But Washington Post has a new article out about her, 697 00:33:24,960 --> 00:33:28,960 Speaker 1: and it's entitled Inside Laura Lumer's Rise, Obsessive Research, Oval 698 00:33:29,000 --> 00:33:31,160 Speaker 1: Office Visits, and it details a whole bunch of things. 699 00:33:31,200 --> 00:33:34,560 Speaker 1: And one of the things about Laura Lumer, and this 700 00:33:34,680 --> 00:33:37,160 Speaker 1: was a quote in the article is quote. This came 701 00:33:37,200 --> 00:33:40,000 Speaker 1: from my named Shane Corey, who was involved in helping 702 00:33:40,000 --> 00:33:42,600 Speaker 1: her stay afloat when she got banned from social media. 703 00:33:42,680 --> 00:33:45,280 Speaker 1: So like the twenty eighteens to the early twenty twenties, quote, 704 00:33:45,280 --> 00:33:48,880 Speaker 1: she's obsessive. She's the most obsessive mind you will ever meet. 705 00:33:49,000 --> 00:33:51,520 Speaker 2: Oh wow, and that's probably hard to be around. 706 00:33:51,680 --> 00:33:54,280 Speaker 1: Well, I think one of the things you find is 707 00:33:55,160 --> 00:33:57,800 Speaker 1: and not to any extent the level of Laura Lumor. 708 00:33:58,000 --> 00:34:01,360 Speaker 1: But I get that way about things, right. I mean, 709 00:34:01,400 --> 00:34:02,720 Speaker 1: I know you were nodding, you were like. 710 00:34:02,760 --> 00:34:06,760 Speaker 2: Yeah, okay, okay, I bet that's hard to be around. 711 00:34:08,520 --> 00:34:11,520 Speaker 1: Look I'm not nearly I don't obviously I am not 712 00:34:11,560 --> 00:34:13,880 Speaker 1: in Trump orbit. I don't want to be in Trump 713 00:34:13,960 --> 00:34:18,960 Speaker 1: orbit whatever. But I've been this way my entire life, 714 00:34:19,040 --> 00:34:21,000 Speaker 1: not just on radio, but whatever I get into. It' 715 00:34:21,040 --> 00:34:23,040 Speaker 1: why I had to get out of politics. I had 716 00:34:23,080 --> 00:34:25,600 Speaker 1: to get out of elected office and being an elected 717 00:34:25,600 --> 00:34:29,239 Speaker 1: person because I couldn't ever turn it off. And you 718 00:34:29,280 --> 00:34:31,200 Speaker 1: get people calling you at ten o'clock at night wanting 719 00:34:31,239 --> 00:34:33,040 Speaker 1: to talk to you about their sidewalk or a street 720 00:34:33,120 --> 00:34:37,400 Speaker 1: light or something, and recognized, you know, in order to 721 00:34:37,440 --> 00:34:41,000 Speaker 1: have a life, a family, whatever, to save me for myself, 722 00:34:41,000 --> 00:34:43,719 Speaker 1: I have to turn this off. Per So, like I 723 00:34:43,760 --> 00:34:47,279 Speaker 1: recognize this. It's why when we get into stories's part 724 00:34:47,360 --> 00:34:48,840 Speaker 1: why we're so influential, I think, in part of what 725 00:34:48,880 --> 00:34:51,480 Speaker 1: we do because we will see them through to the 726 00:34:51,600 --> 00:34:54,560 Speaker 1: very in. We don't take no, we don't just acceptabull 727 00:34:54,640 --> 00:34:57,960 Speaker 1: crap whatever. She takes that to a whole another level. 728 00:34:57,960 --> 00:34:59,520 Speaker 1: But it's part why she's so effective she is. 729 00:35:00,680 --> 00:35:02,759 Speaker 3: Well, if you're going to be in Trump's orbit like 730 00:35:02,800 --> 00:35:06,120 Speaker 3: she is, you would have to be obsessive because look 731 00:35:06,160 --> 00:35:07,320 Speaker 3: at his energy level. 732 00:35:07,840 --> 00:35:09,960 Speaker 2: Just to keep up with him and everything. 733 00:35:10,000 --> 00:35:14,160 Speaker 3: They're rapid fire that he does everything, especially the second term, 734 00:35:14,480 --> 00:35:16,640 Speaker 3: you would have to have that sort of mindset. 735 00:35:16,840 --> 00:35:21,600 Speaker 1: And it's interesting the way politics has evolved now where 736 00:35:21,600 --> 00:35:26,359 Speaker 1: there's so much what I call sort of inner circle jockeying. Look, 737 00:35:26,360 --> 00:35:29,280 Speaker 1: there's always going to be a favorite. Well there's always 738 00:35:29,280 --> 00:35:31,319 Speaker 1: been that in administrations, but what I'm saying about there's 739 00:35:31,320 --> 00:35:35,120 Speaker 1: so much like the public who goes and votes has 740 00:35:36,440 --> 00:35:38,760 Speaker 1: no idea ninety nine percent of the stuff that's taking place, 741 00:35:38,920 --> 00:35:41,040 Speaker 1: right they just go, they vote, they pick somebody whatever, 742 00:35:41,080 --> 00:35:43,759 Speaker 1: and most of the time it's like whatever party you are, 743 00:35:43,800 --> 00:35:45,680 Speaker 1: you vote for, et cetera. But in terms of like 744 00:35:45,719 --> 00:35:50,080 Speaker 1: the primaries, the especially the level of the presidency, there's 745 00:35:50,120 --> 00:35:52,720 Speaker 1: all this inner circle jockey like you want this person 746 00:35:52,760 --> 00:35:54,279 Speaker 1: on your team, Yeah, but if you have them on 747 00:35:54,320 --> 00:35:55,959 Speaker 1: your team, then they come with this, but they also 748 00:35:56,000 --> 00:35:57,279 Speaker 1: come with that, and do you want this and you 749 00:35:57,280 --> 00:35:58,960 Speaker 1: want that? And it's just like it's going to a 750 00:35:59,000 --> 00:36:02,040 Speaker 1: whole new level in the social media era. And she's 751 00:36:02,080 --> 00:36:06,040 Speaker 1: an example of a person who is, at least in 752 00:36:06,080 --> 00:36:10,960 Speaker 1: the political orbit, incredibly well known, who if she had 753 00:36:11,440 --> 00:36:14,000 Speaker 1: been in her early thirties in the nineteen nineties, she 754 00:36:14,040 --> 00:36:17,080 Speaker 1: would not exist. She has solely been able to rise 755 00:36:17,560 --> 00:36:20,680 Speaker 1: because of the social media era in which she became 756 00:36:20,719 --> 00:36:24,920 Speaker 1: an adult and did all these things and it got attention. 757 00:36:24,960 --> 00:36:26,960 Speaker 1: Then she's built upon that. She gets looked. She gets 758 00:36:26,960 --> 00:36:29,000 Speaker 1: a lot of stuff, right, yeah, she does. I mean 759 00:36:29,040 --> 00:36:32,160 Speaker 1: she gets a lot of scoops. And she also has 760 00:36:33,120 --> 00:36:35,880 Speaker 1: because she doesn't work for a company or a media 761 00:36:36,000 --> 00:36:38,920 Speaker 1: entity or whatever, she doesn't really have any strings attached. 762 00:36:38,920 --> 00:36:40,520 Speaker 1: He or she can just say or do whatever. And 763 00:36:40,560 --> 00:36:43,200 Speaker 1: I guess right, the only thing is the threat of 764 00:36:43,239 --> 00:36:45,040 Speaker 1: a lawsuit that would hold her back. 765 00:36:45,120 --> 00:36:47,600 Speaker 3: Right, there's nobody above her saying you can't talk about 766 00:36:47,640 --> 00:36:50,600 Speaker 3: that or you know this is off limits. Well, she 767 00:36:50,840 --> 00:36:55,160 Speaker 3: called Tucker Carlson a fraud and a terrible person, so 768 00:36:55,400 --> 00:36:59,319 Speaker 3: it seems like this is a very equitable dislike for 769 00:36:59,400 --> 00:36:59,880 Speaker 3: one another. 770 00:37:00,080 --> 00:37:04,120 Speaker 1: Well, and what's also fascinating too, is it used to 771 00:37:04,200 --> 00:37:06,719 Speaker 1: be you couldn't take on guys like Tucker Carlson because 772 00:37:06,719 --> 00:37:09,600 Speaker 1: they're so big and they're so powerful. They become sort 773 00:37:09,600 --> 00:37:12,040 Speaker 1: of above being taken down. 774 00:37:12,160 --> 00:37:14,880 Speaker 3: Yeah, but when she's the one who is riding on 775 00:37:15,000 --> 00:37:16,000 Speaker 3: Air Force one. 776 00:37:15,920 --> 00:37:18,640 Speaker 1: And it is not right. She can do what she 777 00:37:18,719 --> 00:37:21,760 Speaker 1: wants because she has the platform, she has the audience. 778 00:37:21,800 --> 00:37:24,600 Speaker 1: There's really nothing he can do back to her. And 779 00:37:24,680 --> 00:37:27,160 Speaker 1: because we're in an Internet era where you don't need 780 00:37:27,200 --> 00:37:30,200 Speaker 1: to be a part of Fox News to have Republican influence. 781 00:37:30,280 --> 00:37:32,960 Speaker 1: Now you can just be your own thing, right. 782 00:37:34,160 --> 00:37:38,719 Speaker 3: So, is this a fraction within the conservative movement within 783 00:37:38,760 --> 00:37:39,880 Speaker 3: the Republican Party? 784 00:37:40,040 --> 00:37:43,600 Speaker 1: I think, And this is what's interesting. I think the 785 00:37:43,640 --> 00:37:47,520 Speaker 1: Republican Party has so little idea of what it is anymore, 786 00:37:47,560 --> 00:37:50,719 Speaker 1: and there's so many like warring factions inside of it. 787 00:37:51,120 --> 00:37:54,160 Speaker 1: And this idea that you can't ever cross Trump is 788 00:37:54,200 --> 00:37:57,440 Speaker 1: fascinating to me. And everybody just always tries to smooch 789 00:37:57,480 --> 00:38:00,400 Speaker 1: the butt cheeks the longest that this is why you 790 00:38:00,440 --> 00:38:02,879 Speaker 1: don't get good governance. The governance is not about what's 791 00:38:02,920 --> 00:38:04,600 Speaker 1: best for the people or the country. The governance is 792 00:38:04,600 --> 00:38:06,279 Speaker 1: about are we going to piss Trump off? 793 00:38:06,360 --> 00:38:08,840 Speaker 3: Well, I think that the Republican Party has a better 794 00:38:08,880 --> 00:38:11,640 Speaker 3: identity than the Democrat Party does, and that was on 795 00:38:11,800 --> 00:38:17,040 Speaker 3: clear display yesterday when Elizabeth Warren was saying that the 796 00:38:17,320 --> 00:38:19,840 Speaker 3: guy who's running for mayor in New York was speaking 797 00:38:20,040 --> 00:38:21,560 Speaker 3: the Democrat language. 798 00:38:21,600 --> 00:38:23,280 Speaker 2: That was their new message. 799 00:38:23,480 --> 00:38:24,640 Speaker 1: Yeah, all right, we gotta go. 800 00:38:24,760 --> 00:38:26,839 Speaker 3: All right, Thank you Rob, thank you Kevin, and thank 801 00:38:26,880 --> 00:38:29,680 Speaker 3: you for listening today. This is being Kendall and Casey 802 00:38:29,880 --> 00:38:31,520 Speaker 3: on ninety three WIBC