1 00:00:00,080 --> 00:00:03,800 Speaker 1: The people are telling the politicians what they want or 2 00:00:03,840 --> 00:00:06,680 Speaker 1: don't want in this case, and for some reason they 3 00:00:06,800 --> 00:00:08,600 Speaker 1: just they refuse to listen. 4 00:00:08,720 --> 00:00:10,119 Speaker 2: They just plow straight ahead. 5 00:00:10,320 --> 00:00:12,200 Speaker 1: This is a fascinating new poll, by the way, it's 6 00:00:12,240 --> 00:00:15,200 Speaker 1: Ketil and Casey show and Rob that's Casey. Another poll 7 00:00:15,200 --> 00:00:20,640 Speaker 1: has come out on redistricting in Indiana and it says 8 00:00:20,880 --> 00:00:24,480 Speaker 1: basically the exact same thing that every other public poll 9 00:00:24,880 --> 00:00:28,120 Speaker 1: that has been released on this has shown. And this 10 00:00:28,200 --> 00:00:30,720 Speaker 1: poll is fascinating because of how weighted it was to 11 00:00:30,800 --> 00:00:34,840 Speaker 1: the Republicans and even what they heavily weighted Republican poll, 12 00:00:34,880 --> 00:00:38,120 Speaker 1: which largely reflects I think the makeup of our state 13 00:00:38,760 --> 00:00:41,800 Speaker 1: and we'll get to that in a second. Overwhelmingly people 14 00:00:41,960 --> 00:00:44,720 Speaker 1: are against redistricting in the state of Indiana. 15 00:00:44,840 --> 00:00:47,680 Speaker 2: Yeah, opposition is stronger than support. Fifty one percent of 16 00:00:47,720 --> 00:00:52,560 Speaker 2: voters oppose early redistricting, forty five percent are strongly opposed, 17 00:00:52,600 --> 00:00:56,320 Speaker 2: with only thirty nine in support. The most interesting thing 18 00:00:56,400 --> 00:00:59,760 Speaker 2: to me in this entire poll was that sixty three 19 00:00:59,800 --> 00:01:05,120 Speaker 2: pc of voters are following redistricting news very closely, with 20 00:01:05,240 --> 00:01:08,440 Speaker 2: Democrats being more engaged than Republicans. 21 00:01:08,800 --> 00:01:12,160 Speaker 1: Yeah, and the stath that's interesting in this and when 22 00:01:12,160 --> 00:01:14,200 Speaker 1: I kind of look at these polls, what you look 23 00:01:14,240 --> 00:01:18,640 Speaker 1: at is the strong right, because if people are flimsy, 24 00:01:18,800 --> 00:01:20,679 Speaker 1: it's like, Okay, we can do this, get away with it, 25 00:01:20,680 --> 00:01:24,160 Speaker 1: blah blah blah. But forty five percent that are strongly 26 00:01:24,319 --> 00:01:29,080 Speaker 1: opposed to compared to twenty three percent who are strongly 27 00:01:29,120 --> 00:01:34,920 Speaker 1: in support, which means the motivation of people is clearly 28 00:01:35,000 --> 00:01:36,680 Speaker 1: on the side of being against people who would be 29 00:01:36,800 --> 00:01:40,119 Speaker 1: motivated by the action. Sometimes you can do things and 30 00:01:40,160 --> 00:01:42,400 Speaker 1: it's like, well, I feel this way, but it's not 31 00:01:42,560 --> 00:01:46,400 Speaker 1: something that's really going to, you know, trigger me to 32 00:01:46,440 --> 00:01:49,040 Speaker 1: act one way or another. In this case, you've got 33 00:01:49,080 --> 00:01:53,360 Speaker 1: people who by a two to one margin feel very 34 00:01:53,480 --> 00:01:56,559 Speaker 1: with a great level of intensity in the anti camp 35 00:01:56,680 --> 00:02:01,800 Speaker 1: versus the pro camp, and yet the Republicans on primarily 36 00:02:01,840 --> 00:02:03,280 Speaker 1: Mike Braun will not let it go. 37 00:02:03,840 --> 00:02:06,000 Speaker 2: And it's interesting you bring that up because you know, 38 00:02:06,120 --> 00:02:09,120 Speaker 2: Rob in my throughout my career, I've done some polling. 39 00:02:09,520 --> 00:02:11,839 Speaker 2: Most of the time it's music based. But you're right, 40 00:02:11,960 --> 00:02:16,440 Speaker 2: what you look at is the very polar opinions, because 41 00:02:16,440 --> 00:02:19,600 Speaker 2: if you're in the middle, yeah, you're just kind of whatever, right, 42 00:02:19,840 --> 00:02:22,040 Speaker 2: But it's the ones that are in the end strongly 43 00:02:22,080 --> 00:02:24,600 Speaker 2: opposed strongly in favor. That's the one that you pay 44 00:02:24,600 --> 00:02:27,640 Speaker 2: attention to because those are the people that really have 45 00:02:27,720 --> 00:02:30,040 Speaker 2: strong opinions and are motivated by it. 46 00:02:30,200 --> 00:02:32,320 Speaker 1: Yeah, and then they went into this by the ways, 47 00:02:32,320 --> 00:02:36,080 Speaker 1: Bell Weather Research, it's a well known polling firm. The 48 00:02:36,120 --> 00:02:39,040 Speaker 1: pollster was Christine Matthews. That is not a name that 49 00:02:39,040 --> 00:02:41,639 Speaker 1: probably means a lot to most people, but that is 50 00:02:41,680 --> 00:02:46,079 Speaker 1: another known pollster in the state of Indiana. 51 00:02:46,160 --> 00:02:47,560 Speaker 3: So I mean these are known now. 52 00:02:47,639 --> 00:02:49,959 Speaker 1: By the way, it was done for the Indiana Conservation 53 00:02:50,160 --> 00:02:53,360 Speaker 1: Voters Group. But again, I come back to the waiting 54 00:02:53,400 --> 00:02:55,400 Speaker 1: of the polling. That's what I always kind of look at. 55 00:02:55,480 --> 00:02:57,839 Speaker 1: Sometimes you get polls where the numbers are skewed. It's 56 00:02:57,880 --> 00:03:02,000 Speaker 1: forty nine percent Republican, thirty five percent Democrat, sixteen listed 57 00:03:02,000 --> 00:03:06,240 Speaker 1: as independent, and that I think mostly mirrors the makeup 58 00:03:06,360 --> 00:03:08,720 Speaker 1: of our state. If you look at our voting results, right, 59 00:03:09,080 --> 00:03:11,600 Speaker 1: you know, it's what fifty four to fifty five percent 60 00:03:12,000 --> 00:03:14,680 Speaker 1: voting Republican and a lot of races you've got kind 61 00:03:14,720 --> 00:03:17,200 Speaker 1: of that thirty five to forty percent voting Democrat. So 62 00:03:17,240 --> 00:03:20,520 Speaker 1: in terms of the makeup, it's pretty accurate. In terms 63 00:03:20,520 --> 00:03:22,480 Speaker 1: you won't say, wow, they just went with, you know, 64 00:03:22,720 --> 00:03:23,760 Speaker 1: forty five percent of. 65 00:03:23,760 --> 00:03:25,080 Speaker 3: The people we're Democrats. 66 00:03:25,120 --> 00:03:27,960 Speaker 1: Now, it's it's a pretty fair makeup of the voting 67 00:03:28,000 --> 00:03:30,000 Speaker 1: results in the state of Indiana. 68 00:03:30,080 --> 00:03:32,400 Speaker 3: Now, they also asked about the. 69 00:03:32,320 --> 00:03:34,920 Speaker 1: Political leaders in the state, and I thought that the 70 00:03:34,960 --> 00:03:40,040 Speaker 1: results of this give credence to the rest of what 71 00:03:40,120 --> 00:03:42,120 Speaker 1: else they're saying about redistricting, because if you gave me 72 00:03:42,160 --> 00:03:45,880 Speaker 1: a pull that said, well, people are overwhelmingly against redistricting redistricting, 73 00:03:45,960 --> 00:03:49,120 Speaker 1: but they've also so got Donald trumpet minus twenty favorability. 74 00:03:49,120 --> 00:03:51,600 Speaker 3: Well, I'm gonna okay, then that's that's this huge sample. 75 00:03:52,000 --> 00:03:54,880 Speaker 1: But they came out with a fifty percent favorable on 76 00:03:55,080 --> 00:03:58,840 Speaker 1: Donald Trump, forty five percent unfavorable, and I think that's 77 00:03:58,920 --> 00:04:00,680 Speaker 1: probably pretty spot on in the state. 78 00:04:00,840 --> 00:04:04,600 Speaker 2: It's interesting that this poll was done after Governor Braun's 79 00:04:04,680 --> 00:04:08,680 Speaker 2: special session announcement, so this is with you know, wheels 80 00:04:08,680 --> 00:04:11,640 Speaker 2: in motion to make this happen. And they asked, how 81 00:04:11,680 --> 00:04:15,480 Speaker 2: would this affect you voting for someone in the future, 82 00:04:15,560 --> 00:04:19,520 Speaker 2: whether you're opposed or in favor of redistricting, And at 83 00:04:19,560 --> 00:04:22,359 Speaker 2: the ballot box, forty three percent said they would be 84 00:04:22,480 --> 00:04:26,880 Speaker 2: less likely to vote for a legislator who supports redistricting. 85 00:04:27,279 --> 00:04:30,240 Speaker 1: Yeah, so they asked about the some of these other politicians, 86 00:04:30,279 --> 00:04:35,320 Speaker 1: and this is super interesting, Braun. 87 00:04:37,440 --> 00:04:40,280 Speaker 3: God, this guy sucks and everybody knows it. 88 00:04:40,920 --> 00:04:45,680 Speaker 1: Thirty two percent favorable, fifty percent unfavorable, And that pretty 89 00:04:45,760 --> 00:04:48,279 Speaker 1: much is right in line with what we saw with 90 00:04:48,360 --> 00:04:51,839 Speaker 1: those other polls that came out. There were two that 91 00:04:51,880 --> 00:04:53,400 Speaker 1: came out on the same day a couple of weeks ago, 92 00:04:53,720 --> 00:04:56,120 Speaker 1: and that was in the ballpark. And then they did 93 00:04:56,160 --> 00:05:00,680 Speaker 1: his little assistant Lackey Micah beckw with and qu was 94 00:05:00,720 --> 00:05:05,240 Speaker 1: at sixteen percent favorable thirty two percent unfavorable. So basically 95 00:05:05,320 --> 00:05:07,960 Speaker 1: twice as many people don't like the guy as due. 96 00:05:08,040 --> 00:05:09,520 Speaker 3: And again I look at this and I say. 97 00:05:09,360 --> 00:05:11,760 Speaker 1: That's probably pretty spot on on where we're at in 98 00:05:11,760 --> 00:05:13,760 Speaker 1: the state of Indiana, where you have guys like Vance 99 00:05:13,839 --> 00:05:17,240 Speaker 1: and Trump at it plus favorable ratings fifty in the 100 00:05:17,240 --> 00:05:20,320 Speaker 1: case of Bands, fifty percent favorable, forty two percent unfavorable. 101 00:05:20,400 --> 00:05:22,719 Speaker 1: So it gives a lot of credence to what they're 102 00:05:22,760 --> 00:05:26,160 Speaker 1: talking about with redistricting when they're right in the ballpark 103 00:05:26,240 --> 00:05:29,080 Speaker 1: on these the you know these politicians. 104 00:05:28,960 --> 00:05:32,880 Speaker 2: Yeap, So twenty six percent are unsure despite ninety percent 105 00:05:32,960 --> 00:05:38,000 Speaker 2: viewing Trump favorable among GOP voters, twenty six percent are 106 00:05:38,040 --> 00:05:39,800 Speaker 2: still saying, yeah, I don't know about this. 107 00:05:40,080 --> 00:05:42,160 Speaker 1: And then it comes back to and by the way, 108 00:05:42,240 --> 00:05:45,640 Speaker 1: WTHR also has results on that. Like many many media 109 00:05:45,640 --> 00:05:48,200 Speaker 1: outlets in the city covered this, this this poll that 110 00:05:48,279 --> 00:05:50,679 Speaker 1: came out. You pick your favorite one. They probably did 111 00:05:51,600 --> 00:05:55,000 Speaker 1: something about the poll. As we said, fifty one percent 112 00:05:55,480 --> 00:05:58,880 Speaker 1: say the state is on the wrong track. That's compared 113 00:05:58,920 --> 00:06:02,040 Speaker 1: to twenty seven percent saying it's on the right track. Now, 114 00:06:02,240 --> 00:06:04,600 Speaker 1: this should be a wake up call to the Democrats 115 00:06:04,839 --> 00:06:07,640 Speaker 1: to the thing that we've been saying, which is, and 116 00:06:07,680 --> 00:06:09,440 Speaker 1: I'll get to the next part of this poll, which 117 00:06:09,480 --> 00:06:13,560 Speaker 1: they should be absolutely just hammering home. If you can 118 00:06:13,680 --> 00:06:17,839 Speaker 1: just nominate normal people who talk about normal things with 119 00:06:18,080 --> 00:06:21,200 Speaker 1: reasonable solutions, you got a good chance to win. Now 120 00:06:21,200 --> 00:06:23,960 Speaker 1: that's a huge ask for the Democrats because they nominate 121 00:06:24,000 --> 00:06:26,640 Speaker 1: insane people who talk about stuff that doesn't resonate with 122 00:06:26,640 --> 00:06:29,960 Speaker 1: the populace and it forces people into voting Republican. But 123 00:06:30,000 --> 00:06:32,479 Speaker 1: when you've got fifty one percent of the of the 124 00:06:32,600 --> 00:06:36,120 Speaker 1: state saying that the state is on the wrong track, 125 00:06:36,600 --> 00:06:41,000 Speaker 1: that's a do drop in invitation. Because then inside of 126 00:06:41,000 --> 00:06:44,480 Speaker 1: this poll, seventy two percent of the people said that 127 00:06:44,600 --> 00:06:50,480 Speaker 1: they would prefer lawmakers spend this session focusing on property 128 00:06:50,520 --> 00:06:56,040 Speaker 1: taxes or public safety instead of redistricting, or also energy costs. 129 00:06:56,080 --> 00:07:00,039 Speaker 1: So the three big ones or energy costs, property taxes. 130 00:06:59,800 --> 00:07:03,839 Speaker 3: And safety. And we've been saying that for how long? 131 00:07:04,040 --> 00:07:04,760 Speaker 2: This whole time. 132 00:07:04,960 --> 00:07:07,280 Speaker 1: This is why people are outraged. This is a major 133 00:07:07,320 --> 00:07:10,280 Speaker 1: reason people don't want redistricting. As they look at this 134 00:07:10,320 --> 00:07:12,600 Speaker 1: and go, my property taxes are out of control. You guys, 135 00:07:12,640 --> 00:07:14,560 Speaker 1: promise to fix it. You pass to bill. Everyone hates 136 00:07:14,920 --> 00:07:17,560 Speaker 1: my utility bills are doubling or tripling. 137 00:07:17,680 --> 00:07:19,240 Speaker 3: You're not doing anything to stop it. 138 00:07:19,320 --> 00:07:21,360 Speaker 1: We just found out, you know, Duke's coming back for 139 00:07:21,440 --> 00:07:26,080 Speaker 1: this massive rate increase that's basically been approved. These lawmakers 140 00:07:26,320 --> 00:07:29,640 Speaker 1: are telling the constituents on things that actually matter, which 141 00:07:29,680 --> 00:07:32,440 Speaker 1: is the affordability of living, which we just saw on 142 00:07:32,480 --> 00:07:37,000 Speaker 1: the exit polling of the Virginia, New Jersey, California elections 143 00:07:37,160 --> 00:07:39,520 Speaker 1: that was the number one issue for people is the 144 00:07:39,520 --> 00:07:40,840 Speaker 1: affordability of living. 145 00:07:41,240 --> 00:07:42,640 Speaker 3: And they're not doing anything about that. 146 00:07:42,800 --> 00:07:46,680 Speaker 2: No, they it's the kitchen table issues that resonate with voters, 147 00:07:46,720 --> 00:07:50,720 Speaker 2: not redistricting. And there's plenty of argument there that says, hey, 148 00:07:50,760 --> 00:07:54,240 Speaker 2: lawmakers focus on everyday concerns and you'll win. 149 00:07:54,920 --> 00:07:57,559 Speaker 3: But they won't do that, no, and that angers people. 150 00:07:57,600 --> 00:08:01,360 Speaker 1: But then it comes back to the Democrat inability to 151 00:08:01,520 --> 00:08:06,120 Speaker 1: nominate people, not that that can connect. They can't even 152 00:08:06,160 --> 00:08:09,480 Speaker 1: get people that the average person will consider. They're so crazy. 153 00:08:09,640 --> 00:08:12,360 Speaker 1: And so if you're that grandma that runs the Democrat Party, 154 00:08:12,400 --> 00:08:14,640 Speaker 1: now what's her face that has? Noah Karen? They have 155 00:08:14,680 --> 00:08:18,600 Speaker 1: a literal Karen running the Democrat Party. You gotta take 156 00:08:18,640 --> 00:08:21,200 Speaker 1: the ruler out and start smacking some hands and go, 157 00:08:21,400 --> 00:08:24,600 Speaker 1: look at this. It's right there to be had. It's 158 00:08:24,800 --> 00:08:28,000 Speaker 1: right there for us to take. People hate these Republicans, 159 00:08:28,080 --> 00:08:30,960 Speaker 1: they hate the job they're doing. But we are We 160 00:08:31,040 --> 00:08:33,200 Speaker 1: are a non starter. A bunch of r candidates are 161 00:08:33,240 --> 00:08:35,760 Speaker 1: total non starters with them to the point they feel 162 00:08:35,760 --> 00:08:39,120 Speaker 1: like they got to vote for people they don't like. Yep, Okay. 163 00:08:39,720 --> 00:08:42,600 Speaker 1: So we had a big victory yesterday on this program. 164 00:08:42,800 --> 00:08:45,400 Speaker 1: Well it's really a victory for transparency and it was 165 00:08:45,440 --> 00:08:49,080 Speaker 1: our audience that came through, and so we want to 166 00:08:49,120 --> 00:08:51,440 Speaker 1: pat you on the back and we'll take a little 167 00:08:51,480 --> 00:08:54,160 Speaker 1: show victory lap when we come back. 168 00:08:54,200 --> 00:08:54,679 Speaker 3: How about that. 169 00:08:54,720 --> 00:08:58,480 Speaker 2: It is Kendall and Casey on ninety three WYBC. 170 00:09:07,400 --> 00:09:10,520 Speaker 1: A big win for humanity yesterday and we can thank 171 00:09:10,600 --> 00:09:13,760 Speaker 1: our fabulous listeners for that. We'll pat them on the 172 00:09:13,760 --> 00:09:20,240 Speaker 1: back here in just a moment. But first major announcement yesterday. 173 00:09:20,000 --> 00:09:21,080 Speaker 2: The big win the BUCkies. 174 00:09:22,559 --> 00:09:25,160 Speaker 1: Okay, so it looks like now I full just I've 175 00:09:25,200 --> 00:09:27,440 Speaker 1: never been to a BUCkies. Well, I don't travel anymore. 176 00:09:27,480 --> 00:09:28,800 Speaker 2: That's true. You don't leave your bubble. 177 00:09:29,040 --> 00:09:30,880 Speaker 1: I mean, I look, this would have been great for 178 00:09:31,000 --> 00:09:33,719 Speaker 1: me whatever. That was fifteen years ago and I was 179 00:09:33,760 --> 00:09:35,400 Speaker 1: every two weeks traveling across the country. 180 00:09:35,440 --> 00:09:36,320 Speaker 3: These have been great for me. 181 00:09:36,360 --> 00:09:42,199 Speaker 1: But yeah, I after spending multiple years every two weeks 182 00:09:42,600 --> 00:09:45,560 Speaker 1: visiting multiple states and traveling, I just was done with that. 183 00:09:45,640 --> 00:09:45,760 Speaker 3: Right. 184 00:09:45,800 --> 00:09:47,600 Speaker 1: I don't travel anymore. I don't go anywhere on leave 185 00:09:47,640 --> 00:09:49,520 Speaker 1: my house. But you travel. Have you ever been to 186 00:09:49,559 --> 00:09:50,040 Speaker 1: a BUCkies? 187 00:09:50,080 --> 00:09:50,280 Speaker 3: I have. 188 00:09:50,440 --> 00:09:53,440 Speaker 2: I've been to a BUCkies and it's worth the hype. 189 00:09:53,480 --> 00:09:53,880 Speaker 3: Oh it is? 190 00:09:54,040 --> 00:09:56,160 Speaker 2: Oh sure, nobody to do it at least once. 191 00:09:56,320 --> 00:09:57,800 Speaker 1: Now, for those of you who don't know, a BUCkies 192 00:09:57,960 --> 00:10:03,600 Speaker 1: is basically like some sort of It's like a mixture. 193 00:10:03,320 --> 00:10:06,320 Speaker 3: Of Wally World meets a gas station. Is that right? 194 00:10:06,640 --> 00:10:07,000 Speaker 2: Yeah? 195 00:10:07,080 --> 00:10:09,800 Speaker 1: I mean it's it's as many as one hundred gas 196 00:10:09,840 --> 00:10:13,360 Speaker 1: pumps and then the inside would you like to describe 197 00:10:13,360 --> 00:10:14,600 Speaker 1: the inside of a Bucky's. 198 00:10:14,800 --> 00:10:17,640 Speaker 2: Well, you know, if you just take your regular gas 199 00:10:17,720 --> 00:10:21,840 Speaker 2: station store and then Quadrupuleet, they have their own brand 200 00:10:21,920 --> 00:10:25,040 Speaker 2: name food. They make fresh food right there in front 201 00:10:25,040 --> 00:10:29,040 Speaker 2: of you. And you know, they've got fun names for 202 00:10:29,559 --> 00:10:33,040 Speaker 2: like the beaver nuggets and the little nuggets. 203 00:10:33,080 --> 00:10:33,680 Speaker 3: What are they called. 204 00:10:34,040 --> 00:10:36,600 Speaker 1: It's the beaver Bucki's a beaver yeah, but the called 205 00:10:36,600 --> 00:10:37,280 Speaker 1: beaver nuggets. 206 00:10:37,360 --> 00:10:38,000 Speaker 2: Yeah, they've got those. 207 00:10:38,080 --> 00:10:40,959 Speaker 1: Okay, But and I'm probably the wrong person to ask 208 00:10:41,000 --> 00:10:44,920 Speaker 1: about this, but once you've been is this something you're 209 00:10:44,960 --> 00:10:46,840 Speaker 1: saying I desire to go back? 210 00:10:46,880 --> 00:10:46,960 Speaker 2: Like? 211 00:10:47,080 --> 00:10:49,640 Speaker 1: Is this is this some sort of tourist attraction thing 212 00:10:49,720 --> 00:10:52,040 Speaker 1: or is it primarily Hey, you've been there, you've seen it. 213 00:10:52,120 --> 00:10:54,600 Speaker 3: Now, We're just something that other people will stop at 214 00:10:54,600 --> 00:10:55,040 Speaker 3: on the way. 215 00:10:55,160 --> 00:10:55,319 Speaker 4: Yeah. 216 00:10:55,400 --> 00:10:58,679 Speaker 2: Well, I mean, and it's hard. It's a gas station, right, 217 00:10:59,000 --> 00:11:01,800 Speaker 2: is my point? Yeah? I think you know, if you 218 00:11:02,200 --> 00:11:06,120 Speaker 2: really like the food that they offer, you might go back. 219 00:11:06,880 --> 00:11:08,200 Speaker 3: Have you had the food? Did you eat? 220 00:11:08,679 --> 00:11:08,920 Speaker 5: Sure? 221 00:11:08,960 --> 00:11:10,000 Speaker 2: You bought little snacks? 222 00:11:10,080 --> 00:11:14,400 Speaker 1: What was it worth? Was it like destination? I must 223 00:11:14,440 --> 00:11:16,720 Speaker 1: go back and have the Bucky beaver Nuggets or whatever? 224 00:11:16,760 --> 00:11:19,680 Speaker 2: They're called some people think so yeah really, but I 225 00:11:19,679 --> 00:11:22,800 Speaker 2: mean if you're traveling, and especially if you're traveling across 226 00:11:22,840 --> 00:11:25,840 Speaker 2: the country, they've got all sorts of supplies that you need. 227 00:11:26,120 --> 00:11:28,600 Speaker 3: Oh you know, like a map, like a road at list. 228 00:11:28,840 --> 00:11:32,160 Speaker 2: Yeah, like a map. You know, you need a phone charger. 229 00:11:32,360 --> 00:11:33,280 Speaker 2: Oh I got that. 230 00:11:34,200 --> 00:11:34,440 Speaker 3: Okay. 231 00:11:34,440 --> 00:11:36,880 Speaker 1: For years I stopped at the Loves or the Flying 232 00:11:37,000 --> 00:11:40,760 Speaker 1: j or Pilot. They're better than those like and they 233 00:11:40,760 --> 00:11:41,640 Speaker 1: had all that stuff too. 234 00:11:41,960 --> 00:11:44,880 Speaker 2: Yeah, they do. This is just it has a personality. 235 00:11:44,960 --> 00:11:45,960 Speaker 3: Oh, I got you. Okay. 236 00:11:46,000 --> 00:11:48,839 Speaker 1: So we mentioned all of this because it has now 237 00:11:48,880 --> 00:11:51,840 Speaker 1: come out that it is believed BUCkies is in the 238 00:11:51,920 --> 00:11:57,560 Speaker 1: process of acquiring land off by sixty five in Greenwood, Yeah, 239 00:11:57,600 --> 00:12:00,440 Speaker 1: to put their first Indiana based location. Right, this is 240 00:12:00,440 --> 00:12:02,319 Speaker 1: the first one instead of it would be the first 241 00:12:02,320 --> 00:12:03,000 Speaker 1: one the state of India. 242 00:12:03,080 --> 00:12:03,160 Speaker 5: Right. 243 00:12:03,160 --> 00:12:07,320 Speaker 2: They're negotiating to buy a twenty acre plot, so that 244 00:12:07,520 --> 00:12:10,480 Speaker 2: I mean, it's it's looks like it's gonna be a 245 00:12:10,520 --> 00:12:12,920 Speaker 2: done deal pretty much. They're also looking at a second 246 00:12:12,960 --> 00:12:15,200 Speaker 2: location by the way, in Boone County. 247 00:12:15,200 --> 00:12:16,960 Speaker 1: Well, I'm sure the IEDC is going to pop into that. 248 00:12:17,000 --> 00:12:19,040 Speaker 1: Maybe they'll put it in the Leap district. Hey, it'll 249 00:12:19,080 --> 00:12:22,600 Speaker 1: be Meta Lily and the BUCkies. That's what we got 250 00:12:22,640 --> 00:12:25,280 Speaker 1: for our hundreds of millions of dollars. 251 00:12:26,160 --> 00:12:28,520 Speaker 2: It's a massive footprint, though, I mean there are plans. 252 00:12:28,559 --> 00:12:32,200 Speaker 2: It includes the twenty four hour convenience store, dozens of 253 00:12:32,200 --> 00:12:36,319 Speaker 2: fuel pumps, all the parking they do passenger and also 254 00:12:36,400 --> 00:12:40,319 Speaker 2: commercial vehicles. So as we are the crossroads of America, 255 00:12:40,360 --> 00:12:44,360 Speaker 2: sure this will be consistent with Bucky's other fifty four 256 00:12:44,800 --> 00:12:45,920 Speaker 2: US locations. 257 00:12:46,440 --> 00:12:48,840 Speaker 1: Okay, so somebody in the UK time the letter of intent, 258 00:12:49,200 --> 00:12:52,520 Speaker 1: not that anybody would ever lie, but Gray I think 259 00:12:52,559 --> 00:12:54,320 Speaker 1: Greg is his name in the YouTube chat said what 260 00:12:54,440 --> 00:12:57,440 Speaker 1: I don't know, I being me, is that gas is 261 00:12:57,520 --> 00:13:02,240 Speaker 1: fifteen to fifty cents cheaper per gallon at the BUCkies. 262 00:13:02,360 --> 00:13:02,840 Speaker 3: Is that right? 263 00:13:03,000 --> 00:13:05,400 Speaker 1: Did you notice that when you when you stopped, did 264 00:13:05,400 --> 00:13:07,080 Speaker 1: you find that the gasoline? 265 00:13:07,679 --> 00:13:10,120 Speaker 2: Well, you know, the dude was doing the gas pumping 266 00:13:10,120 --> 00:13:12,120 Speaker 2: while I was doing the shopping on the inside, so 267 00:13:12,200 --> 00:13:14,400 Speaker 2: I wasn't paying attention to the price of gas. 268 00:13:14,440 --> 00:13:17,480 Speaker 1: Oh so a typical woman move. You were just spending 269 00:13:17,520 --> 00:13:20,560 Speaker 1: your husband's harder and fortune. Well he was left to 270 00:13:20,600 --> 00:13:23,080 Speaker 1: count the pennies. That's right, Hey, good great deal. So 271 00:13:23,120 --> 00:13:24,839 Speaker 1: the theory is right, the theory is right. Let's just 272 00:13:24,840 --> 00:13:28,480 Speaker 1: say it's fifteen cents a gallon cheaper. I saved three 273 00:13:28,559 --> 00:13:30,920 Speaker 1: dollars on my gas, and then I blew it on 274 00:13:31,760 --> 00:13:35,040 Speaker 1: overpriced bucket nuggets or whatever they're called. That's right, Yeah, 275 00:13:35,040 --> 00:13:37,719 Speaker 1: I get it. Uh huh, that's a great business model. Actually, though, 276 00:13:38,000 --> 00:13:39,760 Speaker 1: sucker you in, right, and then we get you to 277 00:13:39,840 --> 00:13:42,160 Speaker 1: spend all this money in the in the store. 278 00:13:42,480 --> 00:13:43,080 Speaker 2: That's true. 279 00:13:43,240 --> 00:13:44,200 Speaker 3: Yeah, it's worth it. 280 00:13:44,360 --> 00:13:45,600 Speaker 2: What's the victory lap? 281 00:13:46,640 --> 00:13:48,080 Speaker 3: What do you mean the victory lap? 282 00:13:48,280 --> 00:13:50,319 Speaker 1: Oh for the show? Yes, well the end. This is 283 00:13:50,360 --> 00:13:52,280 Speaker 1: actually a big deal. Sorry, I was so focused on 284 00:13:52,360 --> 00:13:54,480 Speaker 1: the on the buck discounted get Now, this doesn't do it. 285 00:13:54,520 --> 00:13:55,600 Speaker 2: I want to the Bucky Nuggets. 286 00:13:55,600 --> 00:13:56,840 Speaker 1: It does nothing for me though, because I don't live 287 00:13:56,840 --> 00:13:59,320 Speaker 1: in the Greater Green whatever. I'm not driving across the 288 00:13:59,360 --> 00:14:01,040 Speaker 1: city to go to a gas station. 289 00:14:01,640 --> 00:14:03,880 Speaker 2: What if you go up to Boone County if they 290 00:14:03,880 --> 00:14:04,320 Speaker 2: put one. 291 00:14:04,280 --> 00:14:07,120 Speaker 1: Up there, I'm boycotting Boone County because elite. I'm in 292 00:14:07,160 --> 00:14:09,600 Speaker 1: a permanent Boone County boycott because of the league district. 293 00:14:09,679 --> 00:14:11,760 Speaker 2: So well, then you're gonna miss out on the uh 294 00:14:12,160 --> 00:14:13,160 Speaker 2: the beaver Nucky yea. 295 00:14:13,040 --> 00:14:16,000 Speaker 3: Boy, I'm gonna miss it. Horribly. Anyway, why don't we 296 00:14:16,000 --> 00:14:17,280 Speaker 3: take a break because this is kind of a big deal. 297 00:14:17,280 --> 00:14:18,520 Speaker 1: I want to make time. But sure we have time to 298 00:14:18,559 --> 00:14:23,080 Speaker 1: go into this. Our audience did something absolutely fabulous. Our audience, Casey, 299 00:14:23,600 --> 00:14:27,640 Speaker 1: always giving of themselves, their time, their energy, their passion, 300 00:14:28,040 --> 00:14:29,680 Speaker 1: and actually what they did yesterday think is really. 301 00:14:29,600 --> 00:14:32,080 Speaker 3: Gonna help them the legislative session. 302 00:14:32,160 --> 00:14:34,200 Speaker 1: Yes, it's a bit. It's a big win for everyone. 303 00:14:34,360 --> 00:14:35,680 Speaker 1: Let's talk about that when we come back. 304 00:14:35,760 --> 00:14:38,560 Speaker 2: It's Kenda Lee Casey on ninety three WYBC. 305 00:14:41,800 --> 00:14:44,680 Speaker 3: You're gonna get so much trouble with me. Yeah, you're 306 00:14:44,800 --> 00:14:45,560 Speaker 3: you're done. 307 00:14:45,640 --> 00:14:46,720 Speaker 2: What are you talking about? 308 00:14:46,840 --> 00:14:51,000 Speaker 1: Well, your search history, it's over for you, my search history. 309 00:14:51,120 --> 00:14:52,520 Speaker 3: You and Kevin it's done. 310 00:14:52,640 --> 00:14:56,160 Speaker 2: Oh you're in this. You're in the soup with us, buddy, 311 00:14:56,720 --> 00:14:58,200 Speaker 2: don't try to claim innocence. 312 00:14:58,280 --> 00:15:00,840 Speaker 3: So there was Les Get on The CAZy Show. By 313 00:15:00,880 --> 00:15:01,880 Speaker 3: the way of Rob, that's Casey. 314 00:15:02,280 --> 00:15:07,800 Speaker 1: So Stormy Daniels was on some She's I guess she's 315 00:15:07,800 --> 00:15:10,920 Speaker 1: doing some sort of So Stormy Daniels was a I'm 316 00:15:10,920 --> 00:15:12,400 Speaker 1: trying to figure out how to describe this on a 317 00:15:12,400 --> 00:15:15,960 Speaker 1: family oriented program. 318 00:15:14,760 --> 00:15:16,160 Speaker 2: An actress, a mom. 319 00:15:16,240 --> 00:15:18,760 Speaker 1: She was an adult film actress who they try in 320 00:15:18,800 --> 00:15:21,840 Speaker 1: the mid two thousands, who did very well at the 321 00:15:21,840 --> 00:15:25,160 Speaker 1: box office for lack of a better term, and because 322 00:15:25,280 --> 00:15:29,760 Speaker 1: of her assemblage and appearance, and she had a like 323 00:15:29,800 --> 00:15:35,000 Speaker 1: a like a kind of an Her personality was outgoing, 324 00:15:35,040 --> 00:15:37,600 Speaker 1: I don't know, like she could she could speak right. 325 00:15:37,720 --> 00:15:39,680 Speaker 1: You would see her do interviews or whatever, and you'd 326 00:15:39,680 --> 00:15:42,520 Speaker 1: be like, this is this is like an. She came 327 00:15:42,600 --> 00:15:45,880 Speaker 1: off as a very down home kind of normal person. 328 00:15:46,600 --> 00:15:49,080 Speaker 1: Now she was a dumpster fire. But they tried to 329 00:15:49,120 --> 00:15:52,160 Speaker 1: make her sort of a mainstream actress. She was in 330 00:15:52,160 --> 00:15:55,000 Speaker 1: the forty year old Virgin movie, she was in music videos. Yeah, 331 00:15:55,000 --> 00:15:59,120 Speaker 1: like she was not that I would know anything about 332 00:15:59,120 --> 00:16:00,600 Speaker 1: this now, but at one point, and I mean, she 333 00:16:00,640 --> 00:16:03,440 Speaker 1: was argualy the most famous adult film star in the world, 334 00:16:03,840 --> 00:16:07,160 Speaker 1: and they tried to make her a mainstream actress. 335 00:16:07,560 --> 00:16:09,040 Speaker 3: And she did have some level. 336 00:16:09,120 --> 00:16:11,760 Speaker 1: I mean, she wasn't starring in films, but she was 337 00:16:11,800 --> 00:16:16,000 Speaker 1: in several high profile roles. And then allegedly at one 338 00:16:16,000 --> 00:16:20,200 Speaker 1: point she has this tryst with Donald Trump, which then 339 00:16:20,240 --> 00:16:22,680 Speaker 1: spar you know, the lawsuits and the you know, ava 340 00:16:22,720 --> 00:16:24,280 Speaker 1: Nati's her a term. I mean, we don't even have 341 00:16:24,360 --> 00:16:26,880 Speaker 1: time to begin to go into that, but so she 342 00:16:27,160 --> 00:16:31,000 Speaker 1: comes back into the mainstream when Trump becomes president and 343 00:16:31,000 --> 00:16:33,800 Speaker 1: then he sues her and all this. You know, she comes, 344 00:16:35,800 --> 00:16:39,800 Speaker 1: it's never going away. The point is she's tried to 345 00:16:39,840 --> 00:16:42,040 Speaker 1: cash in on all this and she now I guess 346 00:16:42,080 --> 00:16:46,360 Speaker 1: she's doing some sort of comedy show, which is ridiculous. 347 00:16:46,520 --> 00:16:49,760 Speaker 3: But she was on some Chicago TV show. I guess 348 00:16:49,760 --> 00:16:50,800 Speaker 3: she was. 349 00:16:50,440 --> 00:16:52,960 Speaker 1: Having some you know, stand up event there or whatever, 350 00:16:53,560 --> 00:16:58,120 Speaker 1: and people were like, what happened to Stormy Daniels. 351 00:16:59,000 --> 00:17:02,520 Speaker 2: She is she doesn't look the same. 352 00:17:03,600 --> 00:17:06,880 Speaker 3: Yeah, I mean, it's just it's not you know, it looks. 353 00:17:06,880 --> 00:17:09,719 Speaker 1: It's it's very hard to watch the best of ourselves 354 00:17:09,720 --> 00:17:12,720 Speaker 1: slip away and she is not what she once was. 355 00:17:12,760 --> 00:17:15,320 Speaker 1: And so like people are posting these photos and whatever, 356 00:17:15,560 --> 00:17:19,320 Speaker 1: and then you, unprompted, just started googling. 357 00:17:18,880 --> 00:17:20,480 Speaker 3: All this stuff on Stormy Daniels. 358 00:17:20,520 --> 00:17:22,280 Speaker 1: And I said, you're gonna get in so much trouble 359 00:17:22,800 --> 00:17:25,679 Speaker 1: when the Firewall people or whoever start looking at your 360 00:17:25,680 --> 00:17:26,280 Speaker 1: search history. 361 00:17:26,880 --> 00:17:30,680 Speaker 2: No, there's nothing inappropriate. Like I mentioned, she's back in 362 00:17:30,720 --> 00:17:34,080 Speaker 2: the news with that case with Donald Trump. The Second 363 00:17:34,160 --> 00:17:36,679 Speaker 2: US Circuit Court of Appeals directed to a lower court to 364 00:17:36,720 --> 00:17:41,080 Speaker 2: reconsider Trump's request to move that hush money case from 365 00:17:41,160 --> 00:17:45,120 Speaker 2: state to federal court. So there's a reason why there's 366 00:17:45,119 --> 00:17:47,920 Speaker 2: the search history on my computer stormy day. 367 00:17:48,320 --> 00:17:52,440 Speaker 3: Excuse Kevin, I was doing it for research purposes. 368 00:17:52,720 --> 00:17:55,719 Speaker 2: Huh, sure you are. Many people are saying that she 369 00:17:56,040 --> 00:17:58,360 Speaker 2: has TDS Trump's arrangements. 370 00:17:58,440 --> 00:18:01,919 Speaker 3: Oh wow, she may have something. That's what it is 371 00:18:02,000 --> 00:18:02,199 Speaker 3: or not. 372 00:18:02,640 --> 00:18:05,680 Speaker 1: But anyway, wait when that's like shocking though, I mean, look, 373 00:18:05,680 --> 00:18:08,680 Speaker 1: people age, I get that, But when you don't see 374 00:18:08,680 --> 00:18:11,440 Speaker 1: somebody for a while and then you're. 375 00:18:11,280 --> 00:18:13,440 Speaker 2: Like, whoa, there's a difference there. 376 00:18:13,560 --> 00:18:20,240 Speaker 1: Step away from the buffet table, put the fork down. Okay, anyway, 377 00:18:20,760 --> 00:18:24,320 Speaker 1: from one loser to a big win win. Yesterday, our 378 00:18:24,359 --> 00:18:27,560 Speaker 1: audience did something great and I wanted to applaud everybody 379 00:18:27,640 --> 00:18:30,320 Speaker 1: for it. So yesterday we had pointed out our old 380 00:18:30,359 --> 00:18:36,040 Speaker 1: pal in Stephen Whitmer. The Indie Reporter team was denied. 381 00:18:36,520 --> 00:18:38,800 Speaker 1: Look that they do that Indie Reporter account does so 382 00:18:38,920 --> 00:18:42,920 Speaker 1: much interesting work at Indie Underscore Reporter Underscore by follow 383 00:18:42,960 --> 00:18:44,639 Speaker 1: it on government documents. 384 00:18:44,680 --> 00:18:46,040 Speaker 3: They read through stuff. 385 00:18:46,240 --> 00:18:48,400 Speaker 1: I don't agree with every opinion they have, I don't 386 00:18:48,400 --> 00:18:50,720 Speaker 1: agree with every theory they have, but in terms of 387 00:18:50,840 --> 00:18:55,240 Speaker 1: actually reading through government documents and putting them out for 388 00:18:55,240 --> 00:18:57,840 Speaker 1: the public. They do in phenomenal work, and so they 389 00:18:57,840 --> 00:18:59,479 Speaker 1: had kind of said, hey, look we're doing all this 390 00:18:59,520 --> 00:19:02,040 Speaker 1: stuff which is being picked up by even you know, 391 00:19:02,280 --> 00:19:06,119 Speaker 1: mainstream media from time to time, et cetera. We'd like 392 00:19:06,280 --> 00:19:10,160 Speaker 1: to go cover the upcoming legislative session for the General Assembly. 393 00:19:10,720 --> 00:19:14,560 Speaker 1: And they requested a media pass. Right now, none of 394 00:19:14,560 --> 00:19:17,520 Speaker 1: these people that I'm aware of are have photos hanging 395 00:19:17,520 --> 00:19:20,080 Speaker 1: in a post office. They're not on the run from 396 00:19:20,080 --> 00:19:22,240 Speaker 1: the law. If you were to look them up, in 397 00:19:22,280 --> 00:19:23,840 Speaker 1: my case, you're not going to find them to be 398 00:19:24,000 --> 00:19:29,680 Speaker 1: dangers against society. And for some reason, they were denied 399 00:19:30,359 --> 00:19:34,160 Speaker 1: media access. And so he said, wait a second, you're 400 00:19:34,200 --> 00:19:38,359 Speaker 1: going to let this past year Gabe Whitley, a convicted 401 00:19:38,440 --> 00:19:42,200 Speaker 1: federal felon who also I believe is still finding himself 402 00:19:42,320 --> 00:19:46,040 Speaker 1: incarcerating the Marion County jail, about to face state charges 403 00:19:46,040 --> 00:19:48,720 Speaker 1: related to online threats. 404 00:19:48,280 --> 00:19:48,760 Speaker 3: Et cetera. 405 00:19:49,440 --> 00:19:52,120 Speaker 1: They knew what was going on with him, and they 406 00:19:52,200 --> 00:19:55,919 Speaker 1: gave him for some ridiculous website that he started a 407 00:19:56,000 --> 00:19:58,960 Speaker 1: press pass. At least he claimed he got a press pass, 408 00:19:59,400 --> 00:20:02,960 Speaker 1: and we saw him at the property tax rally roaming 409 00:20:03,000 --> 00:20:04,479 Speaker 1: around taking photos or whatever. 410 00:20:05,040 --> 00:20:07,960 Speaker 3: You're gonna let that guy have a badge. 411 00:20:08,320 --> 00:20:08,600 Speaker 2: Yep. 412 00:20:08,880 --> 00:20:11,959 Speaker 1: But these people are actually doing work for the for 413 00:20:12,000 --> 00:20:14,680 Speaker 1: the citizens of Indiana. They're not causing any harm, they're 414 00:20:14,720 --> 00:20:19,680 Speaker 1: not threatening anybody, they're not causing ruckuses. The guys run 415 00:20:19,720 --> 00:20:22,880 Speaker 1: for State House before. As a Republican nominee for State House, 416 00:20:23,440 --> 00:20:27,360 Speaker 1: you're gonna deny him the ability to get in. Well, 417 00:20:27,359 --> 00:20:28,880 Speaker 1: we all realize why you're doing that. 418 00:20:29,240 --> 00:20:31,400 Speaker 2: They don't want the information to get out, right, and 419 00:20:31,680 --> 00:20:33,480 Speaker 2: you know they're he takes to follow the money. 420 00:20:33,680 --> 00:20:35,760 Speaker 1: Sure, they don't want the information coming out because then 421 00:20:35,760 --> 00:20:37,159 Speaker 1: he gets the info and they give it to us, 422 00:20:37,200 --> 00:20:38,199 Speaker 1: and then you know, we talk about it. 423 00:20:38,200 --> 00:20:39,800 Speaker 3: Well, they give it to everybody, but we get it, 424 00:20:39,840 --> 00:20:40,520 Speaker 3: and they didn't want that. 425 00:20:40,960 --> 00:20:43,960 Speaker 1: And so we told everybody call this woman who'd sent 426 00:20:44,000 --> 00:20:47,760 Speaker 1: the email denying him the press pass. Here's the email 427 00:20:47,800 --> 00:20:51,560 Speaker 1: to send it to and within I tried to do 428 00:20:51,600 --> 00:20:56,439 Speaker 1: the math on my in real time. Within like two hours, really, 429 00:20:56,960 --> 00:21:00,000 Speaker 1: they had sent him an email going, hey, you're press 430 00:21:00,000 --> 00:21:01,840 Speaker 1: this request has been approved. 431 00:21:02,200 --> 00:21:05,320 Speaker 2: Great, so now he'll be able to cover the session. 432 00:21:05,560 --> 00:21:06,720 Speaker 3: That's going to be awesome. 433 00:21:07,080 --> 00:21:10,280 Speaker 1: The Indie reporter in the State House being able to 434 00:21:10,280 --> 00:21:12,880 Speaker 1: just walk up to lawmakers and ask them questions I'm 435 00:21:12,920 --> 00:21:13,520 Speaker 1: all here. 436 00:21:13,320 --> 00:21:16,800 Speaker 2: For that, right, So congratulations to our listeners. Yeah wait, 437 00:21:16,840 --> 00:21:17,280 Speaker 2: it happened. 438 00:21:17,320 --> 00:21:20,679 Speaker 1: Yeah, we wanted to thank good, good job on the 439 00:21:20,720 --> 00:21:26,560 Speaker 1: id OA Indian Department of Administration, people who saw the 440 00:21:26,720 --> 00:21:30,000 Speaker 1: error of their ways for whatever reason that was, and 441 00:21:30,080 --> 00:21:33,560 Speaker 1: have done the right thing. So that's good government, right, 442 00:21:33,720 --> 00:21:36,160 Speaker 1: it doesn't matter how ridiculous it was that it was denied. 443 00:21:36,560 --> 00:21:43,800 Speaker 1: They ultimately, after a throng of yes, yes, the correspondence 444 00:21:43,800 --> 00:21:46,760 Speaker 1: from our listeners, made the right move. And so we'll 445 00:21:46,760 --> 00:21:50,520 Speaker 1: look forward with the upcoming legislative session to have Stephen 446 00:21:50,560 --> 00:21:52,200 Speaker 1: in the gang over there in the State House. 447 00:21:52,200 --> 00:21:53,880 Speaker 2: So he's going to go pick up his press pass 448 00:21:53,920 --> 00:21:57,280 Speaker 2: on Monday. I fully expect a picture of that on 449 00:21:57,359 --> 00:21:57,879 Speaker 2: his account. 450 00:21:58,000 --> 00:21:58,800 Speaker 3: I'm very excited. 451 00:21:58,840 --> 00:22:00,959 Speaker 1: So anyway, we wanted to thank our listeners for doing that, 452 00:22:01,040 --> 00:22:03,800 Speaker 1: and it shows the power of this program and that 453 00:22:03,880 --> 00:22:05,720 Speaker 1: will be good for all of us because we'll be 454 00:22:05,760 --> 00:22:10,200 Speaker 1: getting not only more information, but a different perhaps type 455 00:22:10,200 --> 00:22:13,000 Speaker 1: of information and view on information potentially getting out into 456 00:22:13,000 --> 00:22:16,240 Speaker 1: the masses, which is what we should all. We should 457 00:22:16,240 --> 00:22:19,280 Speaker 1: all want as many people being down there in a 458 00:22:19,359 --> 00:22:22,880 Speaker 1: polite and decent manner covering the State House as possible 459 00:22:22,920 --> 00:22:23,600 Speaker 1: because that's good. 460 00:22:23,520 --> 00:22:25,320 Speaker 2: For all of us to win for transparency. 461 00:22:25,640 --> 00:22:27,720 Speaker 1: Absolutely. Yeah, all right, what's going on with Trump and 462 00:22:27,760 --> 00:22:29,080 Speaker 1: these drugs and the world. 463 00:22:29,119 --> 00:22:32,800 Speaker 2: He announced the copays for weight loss drugs are going 464 00:22:32,880 --> 00:22:36,040 Speaker 2: to be dropped from about thirteen hundred dollars a month 465 00:22:36,119 --> 00:22:38,760 Speaker 2: to fifty dollars a month, just as. 466 00:22:38,680 --> 00:22:42,600 Speaker 5: Significantly Medicare and Medicaid. We'll finally cover the costs of 467 00:22:42,680 --> 00:22:47,080 Speaker 5: these weight loss trucks or millions of patients suffering from obesity. 468 00:22:47,840 --> 00:22:52,720 Speaker 5: Copays for Medicare patients will be as low as fifty dollars. 469 00:22:53,720 --> 00:22:57,080 Speaker 5: This is tremendous savings. I mean, now you're talking about 470 00:22:57,080 --> 00:23:02,119 Speaker 5: from thirteen hundred and fifty dollars to fifty dollars. This 471 00:23:02,280 --> 00:23:06,080 Speaker 5: is tremendous news for the American seniors. And you'll remember 472 00:23:06,160 --> 00:23:08,880 Speaker 5: what I had one eighth of one percent for the year. 473 00:23:08,920 --> 00:23:10,960 Speaker 5: I got it one eight and I was so thrilled. 474 00:23:11,560 --> 00:23:14,640 Speaker 5: But now we're cutting at one thousand percent, twelve hundred percent. 475 00:23:15,000 --> 00:23:15,919 Speaker 4: Nobody's ever seen a. 476 00:23:15,920 --> 00:23:19,560 Speaker 1: Thing like this, Okay, So I have several questions about 477 00:23:19,560 --> 00:23:24,320 Speaker 1: this one. Has anybody kind of determined the long term 478 00:23:24,359 --> 00:23:28,879 Speaker 1: effects of these drugs, because I don't think that's I'm not. 479 00:23:28,880 --> 00:23:29,639 Speaker 3: Saying they don't work. 480 00:23:29,680 --> 00:23:32,080 Speaker 1: Clearly people are losing all sorts of weight on them, 481 00:23:32,760 --> 00:23:34,360 Speaker 1: indisputable that's happening. 482 00:23:34,119 --> 00:23:36,760 Speaker 3: Right, But I don't think that's how it's supposed to go. 483 00:23:36,840 --> 00:23:39,120 Speaker 1: Like, I think God designed the body a certain way, 484 00:23:39,160 --> 00:23:42,480 Speaker 1: and there are ways to lose weight, and some people 485 00:23:42,480 --> 00:23:44,240 Speaker 1: can't do that. I understand, And I'm not judging anybody 486 00:23:44,240 --> 00:23:46,680 Speaker 1: who's using them. I'm just asking, has anybody did any 487 00:23:46,760 --> 00:23:50,280 Speaker 1: sort of deep dive into hey, ten years from now, 488 00:23:50,320 --> 00:23:51,959 Speaker 1: what effect is this on everyone? 489 00:23:52,040 --> 00:23:54,160 Speaker 2: Don't think they've been around long enough well exactly long 490 00:23:54,240 --> 00:23:56,680 Speaker 2: term effects. I know that a lot of people use 491 00:23:56,760 --> 00:24:00,960 Speaker 2: them to jump start the journey to better hell yeah, 492 00:24:01,119 --> 00:24:04,399 Speaker 2: or it's a way in short term to get on 493 00:24:04,520 --> 00:24:07,480 Speaker 2: track and then get off of it if you can. 494 00:24:07,720 --> 00:24:12,120 Speaker 1: Because it basically suppresses your appetite, right, I mean, I'm 495 00:24:12,160 --> 00:24:14,680 Speaker 1: not if I'm wrong on that, correct me, But that's 496 00:24:14,720 --> 00:24:16,359 Speaker 1: one of the things that it does is it makes 497 00:24:16,400 --> 00:24:20,800 Speaker 1: you sort of not feel compelled to eat to eat, yeah, right, 498 00:24:20,920 --> 00:24:23,680 Speaker 1: mm hmm, Okay, that's the first question, and it's the 499 00:24:23,680 --> 00:24:25,879 Speaker 1: same question in fairness I asked during COVID Like with 500 00:24:25,960 --> 00:24:30,399 Speaker 1: these COVID shots, we're just streamlining whatever we're doing and 501 00:24:30,440 --> 00:24:33,440 Speaker 1: we're just rubber stamping whatever we're doing. Well, then why 502 00:24:33,480 --> 00:24:35,440 Speaker 1: do we make all the other drugs go through all 503 00:24:35,440 --> 00:24:38,520 Speaker 1: these analysis and you know, blah blah blah and whatever 504 00:24:38,560 --> 00:24:41,399 Speaker 1: before we bring them to market. And if it's working 505 00:24:41,440 --> 00:24:43,679 Speaker 1: for real, great, I think that's wonderful. I'm not judging them. 506 00:24:43,720 --> 00:24:46,800 Speaker 1: I was simply asking, like, do we know what the 507 00:24:46,880 --> 00:24:48,520 Speaker 1: impact same thing with the COVID shot. 508 00:24:49,000 --> 00:24:50,359 Speaker 3: What this impact is going to be on people ten 509 00:24:50,400 --> 00:24:50,880 Speaker 3: years from now? 510 00:24:50,960 --> 00:24:54,560 Speaker 2: Probably not, but in the short term it can prevent 511 00:24:54,640 --> 00:24:58,280 Speaker 2: things like stroke and heart attack and artery disease, even 512 00:24:58,480 --> 00:25:03,480 Speaker 2: kidney disease and pre diabetes and diabetes, so all good 513 00:25:03,480 --> 00:25:05,720 Speaker 2: things to get you on the road to better health. 514 00:25:05,800 --> 00:25:09,160 Speaker 1: Okay, the other question I have is how are they 515 00:25:09,200 --> 00:25:11,840 Speaker 1: doing this? Are the drug companies? Look, these people are 516 00:25:11,840 --> 00:25:14,920 Speaker 1: not running soup kitchens. They're profit factories. Most of them 517 00:25:15,000 --> 00:25:18,000 Speaker 1: don't actually care about your health other than being able 518 00:25:18,000 --> 00:25:19,960 Speaker 1: to convince doctors that things are good for your health 519 00:25:19,960 --> 00:25:22,040 Speaker 1: and you that they're good for their health. Make them money, 520 00:25:22,359 --> 00:25:25,680 Speaker 1: like they run a soup kitchens. So what's the catch here? 521 00:25:25,920 --> 00:25:30,120 Speaker 2: So the target groups they include medicare, Medicaid and upcoming 522 00:25:30,240 --> 00:25:35,960 Speaker 2: users of trump OURX platform, which I will find very interesting. 523 00:25:36,080 --> 00:25:38,000 Speaker 2: How interested in how that works? 524 00:25:38,440 --> 00:25:41,520 Speaker 1: So a regular person that isn't on those things, are 525 00:25:41,560 --> 00:25:42,920 Speaker 1: they not going to see this. 526 00:25:42,880 --> 00:25:46,040 Speaker 2: Business saying you'd be able to buy the product directly 527 00:25:46,119 --> 00:25:48,680 Speaker 2: from the manufacturer and bypass insurance. 528 00:25:48,920 --> 00:25:51,199 Speaker 1: Okay, But then I come back to are is the 529 00:25:51,280 --> 00:25:53,440 Speaker 1: company then just admitting maybe this is covered and I 530 00:25:53,480 --> 00:25:56,280 Speaker 1: didn't see it, But as the company just e meeting, 531 00:25:56,320 --> 00:25:59,080 Speaker 1: we were screwing everyone, Like, I mean, this is what 532 00:25:59,160 --> 00:25:59,400 Speaker 1: you see? 533 00:25:59,440 --> 00:26:00,440 Speaker 3: What I'm saying like something. 534 00:26:00,440 --> 00:26:02,639 Speaker 2: They'll admit that, right, But then I understand what you're 535 00:26:02,640 --> 00:26:04,240 Speaker 2: saying seems like it. 536 00:26:04,280 --> 00:26:07,080 Speaker 3: Well, okay, right, this is the bigger conversation here. 537 00:26:07,440 --> 00:26:10,240 Speaker 1: If the company are they getting the money from somewhere else? 538 00:26:10,280 --> 00:26:14,960 Speaker 1: Like are we subsidizing this as taxpayers which medicare Medicaid. 539 00:26:14,480 --> 00:26:16,000 Speaker 3: That's a tax for subsidized program. 540 00:26:16,080 --> 00:26:18,359 Speaker 1: Are we paying this somewhere else and they're just not 541 00:26:18,440 --> 00:26:21,800 Speaker 1: admitting that, or are they admitting. 542 00:26:22,200 --> 00:26:24,439 Speaker 2: It was overpriced before and we're going to lower it now. 543 00:26:24,600 --> 00:26:27,240 Speaker 1: And if these things they're admitting by this much were overpriced, 544 00:26:27,520 --> 00:26:29,320 Speaker 1: because they wouldn't still be just giving it away if 545 00:26:29,320 --> 00:26:31,680 Speaker 1: they were losing money, they must still be making money 546 00:26:31,680 --> 00:26:32,520 Speaker 1: even at this price. 547 00:26:33,359 --> 00:26:36,600 Speaker 3: What other drugs are we admitting. 548 00:26:36,480 --> 00:26:38,800 Speaker 2: Our overpriced and they could do the same thing for right? 549 00:26:38,840 --> 00:26:41,040 Speaker 3: You see? How like why is anybody asking these questions? 550 00:26:41,119 --> 00:26:46,520 Speaker 1: Either are we subsidizing this as taxpayers or are they saying, yeah, 551 00:26:47,400 --> 00:26:49,000 Speaker 1: we can still make money at this and so we'll 552 00:26:49,000 --> 00:26:50,199 Speaker 1: just do it, and yeah, we were kind of just 553 00:26:50,200 --> 00:26:53,040 Speaker 1: screwing you like that is the question that remains unanswered 554 00:26:53,040 --> 00:26:54,720 Speaker 1: to me. And until I get an answer on that, 555 00:26:54,760 --> 00:26:57,160 Speaker 1: I don't know which way to go with this, because 556 00:26:57,160 --> 00:26:59,840 Speaker 1: if we're just subsidizing as taxpayers, well then I'm totally 557 00:27:00,040 --> 00:27:02,040 Speaker 1: it's that you're not doing anything, mister Trump. You're just 558 00:27:02,040 --> 00:27:04,320 Speaker 1: making me pay for somebody else's stuff. I don't give 559 00:27:04,320 --> 00:27:07,280 Speaker 1: you any credit for that. But if the deal is 560 00:27:07,280 --> 00:27:09,320 Speaker 1: that Trump is such a great negotiary, he's able to 561 00:27:09,359 --> 00:27:12,520 Speaker 1: strong arm these guys admitting, yeah, we were charged at 562 00:27:12,520 --> 00:27:16,680 Speaker 1: thirteen fifty, but we can do it for what fifty fifty? Now, well, 563 00:27:16,920 --> 00:27:19,560 Speaker 1: din a pox on the every one of these people's 564 00:27:19,600 --> 00:27:21,760 Speaker 1: houses and we should do something about that. 565 00:27:22,040 --> 00:27:25,680 Speaker 2: Yeah, it's The pricing is supposed to be effective beginning 566 00:27:25,760 --> 00:27:29,440 Speaker 2: January of twenty six. It is Kendall and Casey. It's 567 00:27:29,520 --> 00:27:31,080 Speaker 2: ninety three WIBC. 568 00:27:36,200 --> 00:27:41,359 Speaker 1: So Trump had that press deal yesterday or announcement and 569 00:27:42,359 --> 00:27:44,919 Speaker 1: what that was supposed to be about the weight loss drug. 570 00:27:45,240 --> 00:27:46,919 Speaker 2: Somebody passed out at that announcement. 571 00:27:47,000 --> 00:27:49,679 Speaker 1: Yeah, and then but he started it out by just 572 00:27:49,920 --> 00:27:51,720 Speaker 1: went off on Nancy Pelosi, didn't. 573 00:27:51,520 --> 00:27:54,840 Speaker 2: He he did? He called her an evil woman. 574 00:27:55,359 --> 00:27:57,760 Speaker 4: I think she's an evil woman. I'm glad she's retired. 575 00:27:57,840 --> 00:28:01,520 Speaker 4: I think she did the cut a great service by retire. 576 00:28:01,640 --> 00:28:05,760 Speaker 4: I think she was a tremendous liability for the country, 577 00:28:06,040 --> 00:28:09,000 Speaker 4: and I think she was an evil woman who did 578 00:28:09,000 --> 00:28:12,359 Speaker 4: a poor job to cross the country a lot in 579 00:28:12,480 --> 00:28:15,960 Speaker 4: damages and in reputation. I thought she was terrible. 580 00:28:16,800 --> 00:28:18,760 Speaker 1: Well, he's not wrong on any of that. I mean, 581 00:28:18,760 --> 00:28:21,280 Speaker 1: he's certainly spot on. But you could say that about 582 00:28:21,280 --> 00:28:23,200 Speaker 1: a bunch of people in his party too. I don't 583 00:28:23,200 --> 00:28:27,800 Speaker 1: think that's exclusive to her. The description of her long 584 00:28:28,080 --> 00:28:30,520 Speaker 1: career in the United States Congress a couple. 585 00:28:30,240 --> 00:28:34,600 Speaker 2: Of decades there. But Marjorie Taylor Green has definitely changed 586 00:28:34,600 --> 00:28:37,919 Speaker 2: her tune. She used to rail against Nancy Pelosi, but 587 00:28:38,080 --> 00:28:40,840 Speaker 2: now she's saying something totally different. 588 00:28:41,080 --> 00:28:44,200 Speaker 6: I will praise Nancy Pelosi. She had an incredible career 589 00:28:44,240 --> 00:28:48,080 Speaker 6: for her party. I served under her speakership in my 590 00:28:48,160 --> 00:28:52,160 Speaker 6: first term of Congress, and I'm very impressed at her 591 00:28:52,200 --> 00:28:54,840 Speaker 6: ability to get things done. I wish we could get 592 00:28:54,840 --> 00:28:57,920 Speaker 6: things done for our party like Nancy Pelosi was able 593 00:28:57,960 --> 00:29:01,320 Speaker 6: to deliver for her party. I wish her well and 594 00:29:01,440 --> 00:29:04,440 Speaker 6: her retirement, but I would like to see people exit 595 00:29:04,600 --> 00:29:06,920 Speaker 6: Washington a lot sooner rather than wait until their. 596 00:29:06,840 --> 00:29:10,600 Speaker 1: Eighties are you know, Large Marge is an interesting case 597 00:29:10,640 --> 00:29:14,120 Speaker 1: study because you see the metamorphosis of Large Marge there 598 00:29:14,200 --> 00:29:18,200 Speaker 1: that people like her, and this is the problem. Well, 599 00:29:18,600 --> 00:29:20,200 Speaker 1: there are many problems, but this is one of the 600 00:29:20,200 --> 00:29:24,640 Speaker 1: major problems in the current political environment, especially when everything 601 00:29:24,760 --> 00:29:29,560 Speaker 1: is so politically polarized, basically by states or by district 602 00:29:29,680 --> 00:29:33,320 Speaker 1: now where you like, you saw this in New York, 603 00:29:34,040 --> 00:29:39,360 Speaker 1: Mondani got elected because the state is so liberal now 604 00:29:39,920 --> 00:29:42,720 Speaker 1: that it's a race to go left in that city. 605 00:29:42,760 --> 00:29:46,040 Speaker 1: There is no race for the actual election itself. It's 606 00:29:46,080 --> 00:29:48,880 Speaker 1: a race to the left. And this happens in these 607 00:29:49,160 --> 00:29:53,640 Speaker 1: Republican districts too, whether it's Congress or Senates or you 608 00:29:53,680 --> 00:29:56,880 Speaker 1: know whatever, where these people recognize all I got to 609 00:29:56,960 --> 00:30:00,160 Speaker 1: kind of do is weasel my way through a primary. 610 00:30:00,560 --> 00:30:03,040 Speaker 1: And in the case of these congressional districts. So much 611 00:30:03,080 --> 00:30:06,040 Speaker 1: of it is some I just say the most who's 612 00:30:06,080 --> 00:30:11,160 Speaker 1: the most trump guy, and that if that's me, then 613 00:30:11,200 --> 00:30:13,800 Speaker 1: I think I can win and you get a lot of. 614 00:30:14,000 --> 00:30:14,360 Speaker 3: Not that there. 615 00:30:14,360 --> 00:30:17,960 Speaker 1: I haven't always been Charlatan's or shape shifters in government, 616 00:30:18,320 --> 00:30:20,720 Speaker 1: but a woman like Marjorie Taylor Green, I think sort 617 00:30:20,760 --> 00:30:23,760 Speaker 1: of crack the code, or if I just latch onto 618 00:30:24,000 --> 00:30:27,720 Speaker 1: I'm the most Trumpian person, I'll get my desired thing 619 00:30:27,760 --> 00:30:30,920 Speaker 1: without actually really believing a whole bunch of it. And 620 00:30:30,960 --> 00:30:34,800 Speaker 1: now she sort of recognized, Hey, that ship has sailed. 621 00:30:35,080 --> 00:30:38,200 Speaker 1: They don't really like me. They've figured me out. I 622 00:30:38,200 --> 00:30:40,920 Speaker 1: have no path to be the Senator. I'm not gonna 623 00:30:41,040 --> 00:30:44,080 Speaker 1: obviously be the governor, So now I gotta splot my neck. 624 00:30:44,200 --> 00:30:45,200 Speaker 3: Does this sound familiar? 625 00:30:45,600 --> 00:30:49,360 Speaker 1: Somebody Charlatan gets an elected office and is immediately plotting 626 00:30:49,440 --> 00:30:52,640 Speaker 1: his next endeavor because he knows people will figure him out. 627 00:30:52,920 --> 00:30:54,640 Speaker 3: Does that sound like anybody we know? 628 00:30:55,240 --> 00:30:57,840 Speaker 1: And so her new thing is I'm gonna suck up 629 00:30:57,840 --> 00:31:00,520 Speaker 1: to the media and hope that they will like me. 630 00:31:01,080 --> 00:31:03,440 Speaker 1: And that's what she's doing, right, She's saying and doing 631 00:31:03,480 --> 00:31:06,240 Speaker 1: all of these things that appear to be totally contrarian 632 00:31:06,640 --> 00:31:09,840 Speaker 1: to her previously espouse stuff right, because she's gunning for 633 00:31:09,880 --> 00:31:12,600 Speaker 1: the next thing when the hammer comes down. 634 00:31:12,720 --> 00:31:15,560 Speaker 2: She was on the View earlier this week and at 635 00:31:15,560 --> 00:31:18,200 Speaker 2: one point Joy Behar asked her if she wanted to 636 00:31:18,240 --> 00:31:20,920 Speaker 2: be a Democrat and she said, well, I'm not going 637 00:31:21,000 --> 00:31:25,520 Speaker 2: to go that far, but she's definitely softened her speech. 638 00:31:25,880 --> 00:31:28,720 Speaker 2: And I believe it was Laura Lumer who was reporting 639 00:31:28,760 --> 00:31:31,440 Speaker 2: that she thinks Marjorie Taylor Green is going to run 640 00:31:31,480 --> 00:31:32,720 Speaker 2: for president in twenty eight. 641 00:31:32,880 --> 00:31:33,920 Speaker 3: That would be awesome. 642 00:31:34,400 --> 00:31:36,360 Speaker 1: We need that to happen, not because I want her 643 00:31:36,360 --> 00:31:37,720 Speaker 1: to win, but about that. 644 00:31:37,720 --> 00:31:38,920 Speaker 2: Look, that would be a show. 645 00:31:39,040 --> 00:31:40,920 Speaker 1: It is a crap show. Let's just make it the 646 00:31:40,920 --> 00:31:43,080 Speaker 1: best crap show we can actually make it. But this 647 00:31:43,200 --> 00:31:46,440 Speaker 1: is the bigger issue. Is not this idiot or the 648 00:31:46,440 --> 00:31:49,800 Speaker 1: idiots on the other side, it's collectively. We have created 649 00:31:49,840 --> 00:31:57,400 Speaker 1: an environment in which the thought, professionalism, ideas they don't 650 00:31:57,440 --> 00:32:01,600 Speaker 1: matter anymore because of the Jerryman, because of the movement 651 00:32:01,680 --> 00:32:06,040 Speaker 1: of the States, where people just are trying to outdo 652 00:32:06,160 --> 00:32:09,280 Speaker 1: each other in a primary, not on issues necessarily, but 653 00:32:09,360 --> 00:32:11,880 Speaker 1: it's like who's the most Trump candidate, who's the most 654 00:32:11,880 --> 00:32:14,040 Speaker 1: pro Trump person, who's the bah blah blah, and then 655 00:32:14,080 --> 00:32:17,960 Speaker 1: they get in there and I think maybe next hour 656 00:32:18,040 --> 00:32:21,160 Speaker 1: we're gonna play Jim Banks was big mad at me yesterday. Yeah, 657 00:32:21,280 --> 00:32:24,120 Speaker 1: he went on hammer and Nigel real tough guy. Won't 658 00:32:24,120 --> 00:32:25,880 Speaker 1: come in and say it to my face, but he'll 659 00:32:26,240 --> 00:32:28,320 Speaker 1: just like Rokita, he'll say it to someone else. 660 00:32:28,360 --> 00:32:30,080 Speaker 3: We'll play some of that audio, I think next hour. 661 00:32:30,320 --> 00:32:33,080 Speaker 1: But you see a guy like Banks, or where those 662 00:32:33,120 --> 00:32:35,640 Speaker 1: guys and one of those was it Tubberville, wasn't it 663 00:32:35,680 --> 00:32:38,360 Speaker 1: Tupperville the audio we played, or he on the shutdown 664 00:32:38,360 --> 00:32:41,040 Speaker 1: in the filibusters, Just like whatever Trump wants, give it 665 00:32:41,080 --> 00:32:44,480 Speaker 1: to him. Sir, that is not your job. Your job 666 00:32:44,560 --> 00:32:47,640 Speaker 1: is to be a check in balance on the president 667 00:32:47,680 --> 00:32:51,000 Speaker 1: of the United States, not some butt sniffer or cheerleader 668 00:32:51,120 --> 00:32:52,080 Speaker 1: or whatever the guy wants. 669 00:32:52,120 --> 00:32:54,600 Speaker 3: Give it to him. And we've lost all sins of 670 00:32:54,640 --> 00:32:55,840 Speaker 3: what we're supposed to be doing here. 671 00:32:55,920 --> 00:32:58,560 Speaker 2: Well, that's because they're looking at the polling and they're saying, oh, 672 00:32:58,640 --> 00:33:02,120 Speaker 2: Trump is pulling much better, I better associate with him. 673 00:33:02,720 --> 00:33:06,360 Speaker 1: But the point is Trump nationally is not pulling better. 674 00:33:06,600 --> 00:33:09,920 Speaker 1: The country is not in a good position economically, the 675 00:33:09,960 --> 00:33:13,360 Speaker 1: things are not getting better. People are not happy, and 676 00:33:13,400 --> 00:33:16,479 Speaker 1: the government This Congress should be the check and balance 677 00:33:16,480 --> 00:33:18,320 Speaker 1: on this guy to go, We're done here. We're done 678 00:33:18,320 --> 00:33:20,520 Speaker 1: here with the whole bunch of this stuff. It's not working. 679 00:33:20,720 --> 00:33:23,520 Speaker 1: We've tried it your way, it's not getting any better. 680 00:33:23,840 --> 00:33:28,080 Speaker 1: And yet we keep seeing these undying loyalty pledges where 681 00:33:28,120 --> 00:33:30,080 Speaker 1: nobody stepping up and going we're here for the people, 682 00:33:30,120 --> 00:33:31,080 Speaker 1: not for Donald Trump. 683 00:33:31,360 --> 00:33:33,720 Speaker 2: Well, we were going to talk about tariffs, but I 684 00:33:33,720 --> 00:33:36,240 Speaker 2: think we're running out of time. And the question that 685 00:33:36,280 --> 00:33:39,640 Speaker 2: I have to ask you, are you jealous of Jim Banks? 686 00:33:40,920 --> 00:33:44,160 Speaker 3: That guy that was great. I was rolling on the 687 00:33:44,200 --> 00:33:45,200 Speaker 3: floor when I heard that. 688 00:33:45,840 --> 00:33:48,720 Speaker 2: Well, we're gonna hear him ask the same thing coming up. 689 00:33:48,760 --> 00:33:56,080 Speaker 2: It is Kendall and Casey on ninety three WYBC. But 690 00:33:56,280 --> 00:33:56,400 Speaker 2: if 691 00:34:01,880 --> 00:34:04,360 Speaker 1: They allo