1 00:00:07,000 --> 00:00:09,160 Speaker 1: We have sunshine right now on our way to fifty 2 00:00:09,280 --> 00:00:10,200 Speaker 1: five today. 3 00:00:10,280 --> 00:00:11,320 Speaker 2: A nice warm up. 4 00:00:11,320 --> 00:00:13,840 Speaker 1: It's a nice change of pace, isn't it. I chose 5 00:00:13,880 --> 00:00:17,280 Speaker 1: today to wear boots. My name is Casey, that is Jim, 6 00:00:17,400 --> 00:00:19,640 Speaker 1: and we have to talk about the latest in the 7 00:00:20,520 --> 00:00:26,239 Speaker 1: Nancy Guthrie crisis. What's going on with Savannah Guthrie's eighty 8 00:00:26,239 --> 00:00:29,280 Speaker 1: four year old mother. She's believed to have been kidnapped 9 00:00:29,320 --> 00:00:32,240 Speaker 1: from her Arizona home around January thirty. 10 00:00:32,280 --> 00:00:32,600 Speaker 2: First. 11 00:00:32,680 --> 00:00:36,519 Speaker 1: Law enforcement has been investigating and treating it as a 12 00:00:36,600 --> 00:00:41,760 Speaker 1: possible abduction. However, they have not identified any suspect, person 13 00:00:41,800 --> 00:00:45,560 Speaker 1: of interest, or even a vehicle in the case yet. 14 00:00:45,880 --> 00:00:48,440 Speaker 3: Yeah, and the news that came out yesterday is Savannah 15 00:00:48,440 --> 00:00:51,680 Speaker 3: Guthrie and her family released another video discussing this. We 16 00:00:51,760 --> 00:00:54,960 Speaker 3: saw another deadline that was in place that came from 17 00:00:54,960 --> 00:00:57,720 Speaker 3: one of the ransom notes that has expired. It's come 18 00:00:57,800 --> 00:01:00,440 Speaker 3: and gone. And we were also told in their reports 19 00:01:00,440 --> 00:01:03,360 Speaker 3: this morning that the Guthrie family has not made the 20 00:01:03,440 --> 00:01:08,000 Speaker 3: ransom payment either. So that's the latest on the Nancy 21 00:01:08,040 --> 00:01:09,800 Speaker 3: Guthrie saga as it stands right now. 22 00:01:09,920 --> 00:01:13,240 Speaker 1: Yeah, So there's been no verified contact with supposed kidnappers 23 00:01:13,360 --> 00:01:17,520 Speaker 1: and as you mentioned. Savannah Guthrie put out another emotional 24 00:01:17,680 --> 00:01:21,120 Speaker 1: video begging for help and information, saying that they have 25 00:01:21,319 --> 00:01:22,960 Speaker 1: met an hour of desperation. 26 00:01:23,959 --> 00:01:25,720 Speaker 4: We believe our mom is still out there. 27 00:01:28,840 --> 00:01:29,640 Speaker 2: We need your help. 28 00:01:32,880 --> 00:01:37,000 Speaker 4: Law enforcement is working tirelessly around the clock trying to 29 00:01:37,040 --> 00:01:40,920 Speaker 4: bring her home, trying to find her. She was taken 30 00:01:40,920 --> 00:01:44,640 Speaker 4: and we don't know where, and we need your help. 31 00:01:48,320 --> 00:01:51,280 Speaker 4: So I'm coming on just to ask you, not just 32 00:01:51,320 --> 00:01:54,400 Speaker 4: for your prayers, but no matter where you are, even 33 00:01:54,400 --> 00:01:58,240 Speaker 4: if you're far from Tucson, if you see anything, you 34 00:01:58,280 --> 00:02:02,280 Speaker 4: hear anything, if there's anything at all that seems strange 35 00:02:02,360 --> 00:02:09,400 Speaker 4: to you that you report to law enforcement, we are 36 00:02:09,480 --> 00:02:14,080 Speaker 4: an hour of desperation and we need job. 37 00:02:14,760 --> 00:02:16,960 Speaker 1: So the family has stated that they believe that Nancy 38 00:02:17,000 --> 00:02:21,960 Speaker 1: is still alive. They've publicly asked for help, public assistance, tips, anything, 39 00:02:22,280 --> 00:02:25,200 Speaker 1: and an hour of desperation. You have to think that 40 00:02:25,280 --> 00:02:27,760 Speaker 1: they're starting to lose a little bit of hope. 41 00:02:28,200 --> 00:02:30,359 Speaker 2: Yeah, the investigation is definitely losing steam. 42 00:02:30,520 --> 00:02:30,720 Speaker 1: Yeah. 43 00:02:30,919 --> 00:02:32,560 Speaker 3: I mean, every day that goes by, I think the 44 00:02:32,639 --> 00:02:36,680 Speaker 3: likelihood of Nancy coming back alive goes down. It's a 45 00:02:36,880 --> 00:02:40,600 Speaker 3: terrible story, a tragic story. You know, there's a lot 46 00:02:40,600 --> 00:02:43,160 Speaker 3: of criticism that's going on, and rightly so. In this 47 00:02:43,360 --> 00:02:45,960 Speaker 3: the you know, local Pima County Sheriff's office has been 48 00:02:45,960 --> 00:02:49,680 Speaker 3: criticized for not doing the best job at the investigation, 49 00:02:49,919 --> 00:02:53,040 Speaker 3: maybe releasing the crime scene too early to where people 50 00:02:53,080 --> 00:02:55,680 Speaker 3: from the public and the reporters and others could you know, 51 00:02:55,840 --> 00:02:59,640 Speaker 3: enter the crime scene and potentially spoil it before it 52 00:02:59,680 --> 00:03:01,920 Speaker 3: was secured and they were able to gather all the 53 00:03:01,919 --> 00:03:04,799 Speaker 3: evidence from it. There's another bit of a twist of 54 00:03:04,840 --> 00:03:06,720 Speaker 3: the story and scandal that's coming out, and that's the 55 00:03:06,760 --> 00:03:10,160 Speaker 3: Pima County Sheriff Chris Nanos, who is heading up this 56 00:03:10,200 --> 00:03:13,360 Speaker 3: investigation from a local standpoint, received a lot of scrutiny 57 00:03:13,360 --> 00:03:16,880 Speaker 3: over the weekend because he appeared at a University of 58 00:03:16,919 --> 00:03:21,160 Speaker 3: Arizona and Oklahoma State college basketball game on Saturday night. 59 00:03:21,680 --> 00:03:24,839 Speaker 3: But he had been saying things previously like we're doing 60 00:03:24,919 --> 00:03:28,000 Speaker 3: everything we can, all the resources, we're working on this 61 00:03:28,120 --> 00:03:30,120 Speaker 3: round the clock. And then he shows up and he's 62 00:03:30,120 --> 00:03:32,240 Speaker 3: photographed at this college basketball He has the. 63 00:03:32,280 --> 00:03:33,680 Speaker 2: Right to live his life, he does. 64 00:03:33,760 --> 00:03:36,600 Speaker 3: I agree to that, and I agree everybody needs a 65 00:03:36,600 --> 00:03:39,680 Speaker 3: break from their job, but in this specific instance, with 66 00:03:39,840 --> 00:03:42,560 Speaker 3: such a high profile case and the statements of the 67 00:03:42,600 --> 00:03:44,600 Speaker 3: county sheriffs have come out about how they're doing everything 68 00:03:44,640 --> 00:03:46,240 Speaker 3: and working around the clock and doing this. 69 00:03:46,440 --> 00:03:48,760 Speaker 5: It is a bad look. You know, I get it. 70 00:03:49,040 --> 00:03:50,360 Speaker 5: You know you get your. 71 00:03:50,240 --> 00:03:53,520 Speaker 3: Downtime, but maybe you know, have your downtime in your 72 00:03:53,560 --> 00:03:58,400 Speaker 3: backyard privately by yourself, instead of publicly attending a college 73 00:03:58,400 --> 00:03:59,240 Speaker 3: basketball game. 74 00:03:59,280 --> 00:04:00,800 Speaker 5: I think he's get all of this. 75 00:04:00,960 --> 00:04:02,560 Speaker 1: He gets paid to do a job, and he has 76 00:04:02,640 --> 00:04:05,680 Speaker 1: every right to do what he wants with his free time. 77 00:04:06,040 --> 00:04:09,760 Speaker 1: You've got this veteran homicide investigator. 78 00:04:09,000 --> 00:04:11,040 Speaker 2: He's worked with forty eight hours. 79 00:04:11,080 --> 00:04:14,560 Speaker 1: And he says that there are key elements of true 80 00:04:14,640 --> 00:04:17,360 Speaker 1: kidnapping that aren't present in this case. 81 00:04:17,880 --> 00:04:20,320 Speaker 6: I don't think she was kidnapped. We would have heard listen. 82 00:04:20,320 --> 00:04:21,760 Speaker 5: There would have been a video. There would have been 83 00:04:21,800 --> 00:04:22,520 Speaker 5: a photograph. 84 00:04:22,600 --> 00:04:27,360 Speaker 6: There'd have been something, a lock of hair, drop of blood, 85 00:04:27,480 --> 00:04:30,840 Speaker 6: something mailed to somebody so they could verify, yes, in fact, 86 00:04:30,920 --> 00:04:34,160 Speaker 6: these people have my mother. Kidnappers want to get paid quickly. 87 00:04:34,720 --> 00:04:39,080 Speaker 6: They don't want this thing to linger. If you're negotiating 88 00:04:39,080 --> 00:04:42,120 Speaker 6: with another drug dealer in South America somewhere, it could 89 00:04:42,120 --> 00:04:44,360 Speaker 6: go on for a few weeks, a month until they 90 00:04:44,360 --> 00:04:47,480 Speaker 6: get bored and decide this is not worth it, and 91 00:04:47,960 --> 00:04:49,920 Speaker 6: it's either pay up or we're going to kill this person. 92 00:04:50,400 --> 00:04:53,680 Speaker 6: And it's always a negotiation, right, The first figured that 93 00:04:53,680 --> 00:04:56,279 Speaker 6: I threw out is never what actually gets paid. Like 94 00:04:56,520 --> 00:04:59,960 Speaker 6: any good business deal, they're going to be a negotiation, 95 00:05:00,120 --> 00:05:02,200 Speaker 6: but it's going to be a fast and hard one. 96 00:05:02,360 --> 00:05:06,680 Speaker 6: And there's been no negotiations. No one's called up and said, hey, 97 00:05:06,720 --> 00:05:07,719 Speaker 6: where's my money. 98 00:05:08,240 --> 00:05:10,120 Speaker 1: A lot of people are questioning whether this was a 99 00:05:10,200 --> 00:05:11,080 Speaker 1: kidnapping at all. 100 00:05:11,480 --> 00:05:14,279 Speaker 3: Well, there's so much that's unknown, and this is part 101 00:05:14,320 --> 00:05:17,679 Speaker 3: of the larger problem. Local law enforcement and the FBI 102 00:05:17,880 --> 00:05:19,920 Speaker 3: aren't releasing a whole lot of details. And I get 103 00:05:19,960 --> 00:05:23,560 Speaker 3: that they're trying to preserve the sanctity of their investigation 104 00:05:23,760 --> 00:05:26,680 Speaker 3: as best they can. They're trying to strategize about the 105 00:05:26,720 --> 00:05:29,560 Speaker 3: best way to go about this that gives them the 106 00:05:29,560 --> 00:05:33,159 Speaker 3: best chance of recovering Nancy Guthrie alive. So they're they're 107 00:05:33,240 --> 00:05:35,320 Speaker 3: kind of playing things close to the vest and not 108 00:05:35,400 --> 00:05:38,560 Speaker 3: telling us everything that's going on. The problem with that is, 109 00:05:38,600 --> 00:05:40,720 Speaker 3: as the American public in the media love to do 110 00:05:40,839 --> 00:05:43,080 Speaker 3: on a high profile situation on this, when we don't 111 00:05:43,080 --> 00:05:43,560 Speaker 3: get a lot. 112 00:05:43,440 --> 00:05:45,760 Speaker 5: Of details fill in the blank, we just start. 113 00:05:45,520 --> 00:05:49,000 Speaker 3: Speculating, and so you get experts like this, and look, 114 00:05:49,040 --> 00:05:52,480 Speaker 3: this guy comes across as extraordinarily credible. He's a former investigator, 115 00:05:52,520 --> 00:05:54,760 Speaker 3: He's done this before. You know, it's part of his 116 00:05:54,839 --> 00:05:58,760 Speaker 3: job on a day to day basis, and I really 117 00:05:58,800 --> 00:05:59,600 Speaker 3: like his analysis. 118 00:05:59,600 --> 00:06:01,880 Speaker 5: I mean, he seems to be straightforward about this. 119 00:06:02,000 --> 00:06:05,160 Speaker 3: Every day that goes by is another day, and you know, 120 00:06:05,279 --> 00:06:07,760 Speaker 3: reduces the likelihood that Nancy Guthrie is going to come 121 00:06:07,760 --> 00:06:10,800 Speaker 3: out of this alive. And this doesn't really check a 122 00:06:10,800 --> 00:06:14,240 Speaker 3: lot of the boxes that you see from traditional kidnapping cases. 123 00:06:14,279 --> 00:06:17,479 Speaker 3: So again people speculate, was she really kidnapped at all? 124 00:06:18,800 --> 00:06:19,719 Speaker 5: You know, is she alive? 125 00:06:19,839 --> 00:06:22,320 Speaker 3: Isn't she alive? Who could be the perpetrator of this? 126 00:06:22,640 --> 00:06:25,760 Speaker 3: Are these ransom notes that were delivered to TMZ and 127 00:06:25,800 --> 00:06:29,320 Speaker 3: a couple of local media outlets authentic or fake. 128 00:06:29,240 --> 00:06:30,719 Speaker 2: Or just or is it just a ruse? 129 00:06:31,000 --> 00:06:33,560 Speaker 3: Just a ruse, you know, maybe just a ruse done 130 00:06:33,600 --> 00:06:35,479 Speaker 3: by a random burst of the public has nothing to 131 00:06:35,520 --> 00:06:37,679 Speaker 3: do it, Or if she was kidnapped, maybe a ruse 132 00:06:37,720 --> 00:06:40,400 Speaker 3: to throw the investigators off the tracks. Maybe the kidnappers 133 00:06:40,640 --> 00:06:42,880 Speaker 3: did send that that they have no intention of returning her, 134 00:06:42,960 --> 00:06:44,479 Speaker 3: collecting any sort of ransom. 135 00:06:44,520 --> 00:06:46,000 Speaker 5: So all we're left to do. 136 00:06:46,160 --> 00:06:48,520 Speaker 1: People are saying, hey, this is a signal that they're 137 00:06:48,520 --> 00:06:50,560 Speaker 1: trying to send to Savannah Guthrie. 138 00:06:50,680 --> 00:06:54,479 Speaker 2: And because he got too close to something, because. 139 00:06:54,040 --> 00:06:56,960 Speaker 3: We don't have that many details, because this is such 140 00:06:57,000 --> 00:06:59,800 Speaker 3: a whope, high profile case, and because there's so much 141 00:06:59,839 --> 00:07:03,200 Speaker 3: interest from the American public in this case, all we're 142 00:07:03,279 --> 00:07:04,880 Speaker 3: left to do at this point is speculate. 143 00:07:05,279 --> 00:07:08,320 Speaker 1: So Will Smith is stepping down as publisher and CEO 144 00:07:08,600 --> 00:07:11,560 Speaker 1: of The Washington Post. He announced his departure in a 145 00:07:11,600 --> 00:07:14,800 Speaker 1: brief female to staff, and that comes just days after 146 00:07:14,880 --> 00:07:18,120 Speaker 1: the paper announced some mass layoffs, cutting about a third 147 00:07:18,280 --> 00:07:19,440 Speaker 1: of its newsroom. 148 00:07:19,960 --> 00:07:23,960 Speaker 3: Look, if you're running a newspaper today, and that is 149 00:07:24,040 --> 00:07:26,080 Speaker 3: about one of the toughest jobs you can do. I mean, 150 00:07:26,160 --> 00:07:29,640 Speaker 3: newspapers have had so many uphill battles. But what is 151 00:07:29,680 --> 00:07:32,800 Speaker 3: fascinating about this story is last week the Washington Post 152 00:07:32,800 --> 00:07:35,679 Speaker 3: came out and said we are eliminating our sports department, 153 00:07:35,720 --> 00:07:37,680 Speaker 3: which was a big deal. It's got a long, storied 154 00:07:37,720 --> 00:07:41,360 Speaker 3: history of covering sports, both in the DC market and nationally, 155 00:07:41,480 --> 00:07:43,680 Speaker 3: and all of a sudden, the sports section is completely 156 00:07:43,720 --> 00:07:48,960 Speaker 3: going away. And then on Saturday, so there's wailing and 157 00:07:48,960 --> 00:07:52,920 Speaker 3: gnashing of teeth because of course journalists. Journalists think they 158 00:07:52,960 --> 00:07:55,360 Speaker 3: have the most important job in the entire country. Just 159 00:07:55,440 --> 00:07:57,520 Speaker 3: ask them, they will tell you that they are the 160 00:07:57,520 --> 00:08:02,200 Speaker 3: most elitist group of people, self grandizing, self absorbed people 161 00:08:02,240 --> 00:08:05,640 Speaker 3: you will ever come across. So the Washington Post eliminates 162 00:08:05,680 --> 00:08:08,480 Speaker 3: the sports section, and there's wailing and gnashing of teeth 163 00:08:08,480 --> 00:08:11,440 Speaker 3: from journalists that you know, America is dying right in 164 00:08:11,520 --> 00:08:13,440 Speaker 3: front of us because we don't have a free press. 165 00:08:13,480 --> 00:08:15,360 Speaker 3: And Jeff Bezos is the worst guy in the world 166 00:08:15,400 --> 00:08:17,560 Speaker 3: because he's the owner of the Washington Post and he's 167 00:08:17,640 --> 00:08:19,640 Speaker 3: letting all this happen. And this is the worst thing 168 00:08:19,680 --> 00:08:23,120 Speaker 3: I've ever seen, as opposed to maybe looking internally and 169 00:08:23,200 --> 00:08:25,960 Speaker 3: saying wow, as journalists, maybe we could have done things 170 00:08:25,960 --> 00:08:28,720 Speaker 3: different to make the public more interested in the product 171 00:08:28,720 --> 00:08:29,160 Speaker 3: that we have. 172 00:08:29,440 --> 00:08:30,320 Speaker 5: So that happens. 173 00:08:30,400 --> 00:08:34,040 Speaker 3: And then Saturday night, Sunday morning, this is not a joke. 174 00:08:34,080 --> 00:08:38,239 Speaker 3: The Washington Post and one of their final sports department 175 00:08:38,320 --> 00:08:40,880 Speaker 3: pieces that they put out ye about the Super Bowl 176 00:08:40,920 --> 00:08:44,079 Speaker 3: in San Francisco, and the headline is the most relevant 177 00:08:44,120 --> 00:08:47,680 Speaker 3: figure in the Super Bowl is absent from this year's 178 00:08:47,679 --> 00:08:50,400 Speaker 3: game because to them, the most relevant figure in this 179 00:08:50,520 --> 00:08:54,760 Speaker 3: Super Bowl was Colin Kaepernick. Okay, a guy who hasn't 180 00:08:54,800 --> 00:08:57,760 Speaker 3: played in the NFL in over a decade, who was 181 00:08:57,840 --> 00:08:59,960 Speaker 3: run out of the league because his last twelve game 182 00:09:00,160 --> 00:09:02,840 Speaker 3: he went one and eleven, and of course the controversy 183 00:09:02,880 --> 00:09:05,520 Speaker 3: of him kneeling for the national anthem. But that's what 184 00:09:05,559 --> 00:09:08,000 Speaker 3: the Washington Post sports department puts out as one of 185 00:09:08,040 --> 00:09:11,839 Speaker 3: their final sports opinion pieces, is that the most important 186 00:09:11,880 --> 00:09:15,319 Speaker 3: person in this Super Bowl is Colin Kaepernick. Just the 187 00:09:16,120 --> 00:09:20,200 Speaker 3: idiocy and the lunacy of these journalists that think they're 188 00:09:20,240 --> 00:09:23,560 Speaker 3: the most important people in the entire world, and that 189 00:09:23,600 --> 00:09:25,920 Speaker 3: this is a travesty. That their sports department at the 190 00:09:25,960 --> 00:09:28,040 Speaker 3: Washington Post has been gutted and will go away. 191 00:09:28,240 --> 00:09:30,400 Speaker 5: It's because they put out. 192 00:09:30,160 --> 00:09:33,600 Speaker 3: Absolute garbage like that is as one of the worst 193 00:09:33,600 --> 00:09:35,000 Speaker 3: opinion pieces I've ever seen. 194 00:09:35,200 --> 00:09:38,240 Speaker 1: So neither he nor Jeff Bezos were present at the 195 00:09:38,280 --> 00:09:41,000 Speaker 1: staff meeting when they announced all the layoffs, and Lewis 196 00:09:41,000 --> 00:09:44,160 Speaker 1: said in his email that difficult decisions had been taken 197 00:09:44,600 --> 00:09:47,240 Speaker 1: and that now was the right time to step aside 198 00:09:47,440 --> 00:09:51,439 Speaker 1: after this two year transformation effort that didn't actually happen. 199 00:09:51,480 --> 00:09:54,640 Speaker 1: If you're wondering why does media seem so different than. 200 00:09:54,600 --> 00:09:55,200 Speaker 2: It used to be. 201 00:09:55,520 --> 00:09:58,080 Speaker 1: All you need to do is look back to nineteen 202 00:09:58,160 --> 00:10:00,640 Speaker 1: ninety six at the Telecommunicattions Act. 203 00:10:00,760 --> 00:10:02,440 Speaker 2: That's when deregulation happened. 204 00:10:02,440 --> 00:10:05,199 Speaker 1: It used to be law for years and years and years, 205 00:10:05,200 --> 00:10:09,839 Speaker 1: sixty two years that only radio companies could only own 206 00:10:09,880 --> 00:10:13,560 Speaker 1: forty percent within a market. Gone, That law went out 207 00:10:13,559 --> 00:10:14,920 Speaker 1: the window years ago. 208 00:10:15,360 --> 00:10:17,440 Speaker 5: Yeah, and there were other right now that they've changed. 209 00:10:17,080 --> 00:10:20,240 Speaker 1: The complete media landscape that in the Internet, of course. 210 00:10:20,360 --> 00:10:23,280 Speaker 3: Yeah, it is about the hardest job in the world. 211 00:10:23,320 --> 00:10:25,880 Speaker 3: If you're running a newspaper today, that is about one 212 00:10:25,880 --> 00:10:28,480 Speaker 3: of the hardest jobs in the world. Based on the 213 00:10:28,520 --> 00:10:32,199 Speaker 3: structural changes and how people consume media now, the vast 214 00:10:32,200 --> 00:10:35,360 Speaker 3: majority of newspapers have made it even harder on themselves 215 00:10:35,559 --> 00:10:39,679 Speaker 3: by being completely disingenuous, completely in the bag for the 216 00:10:39,720 --> 00:10:43,560 Speaker 3: Democrats and the Liberals, and putting out ridiculous sports think 217 00:10:43,600 --> 00:10:48,320 Speaker 3: pieces like Colin Kaepernick is the most important person associated 218 00:10:48,320 --> 00:10:50,080 Speaker 3: with the Super Bowl in twenty twenty six. 219 00:10:50,360 --> 00:10:52,920 Speaker 1: So there is a bill that the Indiana lawmakers are 220 00:10:52,960 --> 00:10:55,880 Speaker 1: advancing at is House Bill twelve ten, and this bill 221 00:10:55,880 --> 00:10:58,760 Speaker 1: would ban cities from limiting how many single family homes 222 00:10:59,160 --> 00:11:02,319 Speaker 1: can be used as rental properties. 223 00:11:03,679 --> 00:11:04,720 Speaker 2: Okay, so you've got. 224 00:11:04,600 --> 00:11:07,400 Speaker 1: Carmel and Fishers who passed these local limits to address 225 00:11:07,440 --> 00:11:10,760 Speaker 1: these concerns, and then you've got the state lawmakers jumping 226 00:11:10,800 --> 00:11:12,080 Speaker 1: in saying no, we don't want that. 227 00:11:12,360 --> 00:11:15,440 Speaker 3: Yeah, And this is a trend that is likely going 228 00:11:15,480 --> 00:11:18,480 Speaker 3: to continue unless something big disruptive, because we just talked 229 00:11:18,480 --> 00:11:20,839 Speaker 3: about this a little bit ago about how the city 230 00:11:20,840 --> 00:11:24,360 Speaker 3: of Indianapolis passed a billboard ordinance that restricted how billboards 231 00:11:24,400 --> 00:11:27,160 Speaker 3: could be used in Marion County and state stepped in. 232 00:11:27,240 --> 00:11:29,439 Speaker 3: The state legislature wants to step in. So now you've 233 00:11:29,440 --> 00:11:33,120 Speaker 3: got Carmel and Fishers that are passing regulations associated with 234 00:11:33,160 --> 00:11:34,600 Speaker 3: rental properties. 235 00:11:34,400 --> 00:11:36,640 Speaker 5: And now the state wants to step in. And you've 236 00:11:36,640 --> 00:11:37,240 Speaker 5: seen this too. 237 00:11:37,520 --> 00:11:41,080 Speaker 3: Local communities have been opposed, rightly so to data centers 238 00:11:41,160 --> 00:11:43,200 Speaker 3: and we've seen that opposition and we've talked about it 239 00:11:43,200 --> 00:11:44,560 Speaker 3: over the last year. And what was one of the 240 00:11:44,559 --> 00:11:47,200 Speaker 3: biggest bills lawmakers have been talking about in this session 241 00:11:47,640 --> 00:11:53,640 Speaker 3: is being able to override local communities and force data 242 00:11:53,679 --> 00:11:56,920 Speaker 3: centers into those communities when those local communities. 243 00:11:56,440 --> 00:11:56,959 Speaker 5: Don't want them. 244 00:11:57,360 --> 00:12:01,840 Speaker 3: This is continues to be poor played by the state legislator. 245 00:12:02,520 --> 00:12:06,000 Speaker 3: Legislator who are by the way Republicans. And again, part 246 00:12:06,040 --> 00:12:09,560 Speaker 3: of the Republican core is that we believe that local 247 00:12:09,679 --> 00:12:14,200 Speaker 3: communities should make most decisions. Yet our state legislator is 248 00:12:14,240 --> 00:12:17,560 Speaker 3: trying to legislator is trying to override that at every 249 00:12:17,600 --> 00:12:18,120 Speaker 3: single term. 250 00:12:18,160 --> 00:12:19,960 Speaker 1: Yeah, they're trying to put a one size fits all 251 00:12:20,640 --> 00:12:24,360 Speaker 1: over local choices, and they're ignoring the fact that the communities, 252 00:12:24,520 --> 00:12:26,920 Speaker 1: not the lawmakers in Indianapolis, are the ones that are 253 00:12:26,960 --> 00:12:29,640 Speaker 1: living with the consequences. Those are the people that are 254 00:12:29,640 --> 00:12:33,280 Speaker 1: closest to the community, and they're the ones that are trusted. 255 00:12:33,800 --> 00:12:36,520 Speaker 1: And yet the state lawmakers want to step in and 256 00:12:36,679 --> 00:12:40,959 Speaker 1: override their decisions with the Father knows Best attitude. 257 00:12:41,040 --> 00:12:44,280 Speaker 3: Yeah, and we know that the local elections are where 258 00:12:44,320 --> 00:12:46,840 Speaker 3: your vote has the bigger impact. Look, Trump gets all 259 00:12:46,840 --> 00:12:50,560 Speaker 3: the headlines nationally and even locally, and Mike Brown the governor, 260 00:12:50,559 --> 00:12:52,640 Speaker 3: gets a ton of headlines, and our state legislators get 261 00:12:52,640 --> 00:12:55,080 Speaker 3: a lot of headlines and rightly so. But where your 262 00:12:55,200 --> 00:12:58,760 Speaker 3: vote matters the most are your local races, your local mayors, 263 00:12:58,800 --> 00:13:02,040 Speaker 3: your local councilmen, your life local county officials. That's where 264 00:13:02,480 --> 00:13:05,640 Speaker 3: the decisions that are made that affect your life on 265 00:13:05,679 --> 00:13:06,440 Speaker 3: a day to day basis. 266 00:13:06,520 --> 00:13:09,160 Speaker 1: Yeah, but then you've got this state versus local control 267 00:13:09,240 --> 00:13:12,160 Speaker 1: fight because decisions were made at the local level and 268 00:13:12,200 --> 00:13:14,880 Speaker 1: then the state steps in with their own ideas. 269 00:13:14,960 --> 00:13:18,120 Speaker 3: It's frustrated, and fortunately, especially when it comes to the 270 00:13:18,240 --> 00:13:21,079 Speaker 3: data centers, there's been an incredible amount of pushback. But look, 271 00:13:21,120 --> 00:13:23,800 Speaker 3: the state, the Republicans and the state legislature are just 272 00:13:23,800 --> 00:13:25,800 Speaker 3: going to keep doing this. They're going to keep doing 273 00:13:25,840 --> 00:13:28,120 Speaker 3: this until there's an outcry at the local level, and 274 00:13:28,160 --> 00:13:30,280 Speaker 3: it's kind of sidelined them or at least giving them 275 00:13:30,320 --> 00:13:32,480 Speaker 3: pause right now on data centers, it needs to be 276 00:13:32,480 --> 00:13:35,439 Speaker 3: there with all these issues, whether it's billboards, data centers, 277 00:13:35,600 --> 00:13:39,240 Speaker 3: rental caps, any decisions made by these local communities should 278 00:13:39,280 --> 00:13:40,920 Speaker 3: be looking to honor them as best we can. 279 00:13:41,200 --> 00:13:51,280 Speaker 2: You're listening to ninety three WIBC doing a little shopping 280 00:13:51,360 --> 00:13:51,839 Speaker 2: right now. 281 00:13:52,240 --> 00:13:58,120 Speaker 1: Yeah, what anything good on trump RX airsupra it's an inhaler. 282 00:13:58,120 --> 00:14:00,640 Speaker 1: It's on there, two hundred and one dollars. They say 283 00:14:00,640 --> 00:14:04,960 Speaker 1: that is sixty percent off. Let's see, there's a lot 284 00:14:05,000 --> 00:14:09,800 Speaker 1: of the GLP one medication on here, like the wigo 285 00:14:09,880 --> 00:14:13,160 Speaker 1: V pill is starting at one hundred and forty nine dollars. 286 00:14:13,200 --> 00:14:17,360 Speaker 1: They're saying that that is eighty nine percent off. I 287 00:14:17,400 --> 00:14:20,160 Speaker 1: don't know what a lot of these medications do, but 288 00:14:20,240 --> 00:14:23,880 Speaker 1: there is a list right now at trumprx dot gov 289 00:14:23,920 --> 00:14:28,600 Speaker 1: slash brows where they list forty three different medications. So 290 00:14:28,800 --> 00:14:33,320 Speaker 1: trump rx the new government launch website, and it lists 291 00:14:33,360 --> 00:14:35,800 Speaker 1: discounted prescription drug prices. 292 00:14:36,120 --> 00:14:38,280 Speaker 2: The site doesn't sell the drugs directly. 293 00:14:38,280 --> 00:14:40,800 Speaker 1: Instead, users are sent to the drug makers or the 294 00:14:40,800 --> 00:14:44,120 Speaker 1: pharmacy sites to fill the prescriptions. But as I mentioned, 295 00:14:44,160 --> 00:14:48,120 Speaker 1: it currently features forty three different medications with reduced prices. 296 00:14:48,160 --> 00:14:51,600 Speaker 1: Anybody with a prescription can use it. It's cash only 297 00:14:51,920 --> 00:14:56,360 Speaker 1: at this point, no insurance billing just yet. Because it's 298 00:14:56,400 --> 00:15:00,120 Speaker 1: cash only, it usually won't go towards your insurance de 299 00:15:00,160 --> 00:15:00,840 Speaker 1: doctuple either. 300 00:15:01,080 --> 00:15:01,280 Speaker 5: Yees. 301 00:15:01,320 --> 00:15:03,240 Speaker 3: So here's a little bit of the history of how 302 00:15:03,360 --> 00:15:07,480 Speaker 3: pharmaceutical pricing has worked, both in this country and worldwide. So, 303 00:15:07,640 --> 00:15:12,880 Speaker 3: typically when a pharmaceutical is rolled out here in the 304 00:15:12,920 --> 00:15:15,080 Speaker 3: in this country, we've got a market based economy, so 305 00:15:15,240 --> 00:15:17,640 Speaker 3: they get to set the price. The pharmaceutical company gets 306 00:15:17,680 --> 00:15:19,560 Speaker 3: to set the price at whatever they want to set 307 00:15:19,560 --> 00:15:21,240 Speaker 3: it at and make their money. 308 00:15:21,360 --> 00:15:21,880 Speaker 5: But when that. 309 00:15:21,840 --> 00:15:25,880 Speaker 3: Pharmaceutical company shops that same drug to other countries around 310 00:15:25,880 --> 00:15:28,320 Speaker 3: the world, especially Europe. What Europe will say is, uh, huh, 311 00:15:28,720 --> 00:15:30,960 Speaker 3: we're not paying more than five dollars for this take 312 00:15:30,960 --> 00:15:32,160 Speaker 3: it or leave it drug company. 313 00:15:32,360 --> 00:15:34,360 Speaker 5: And usually the drug company is like, well five bucks 314 00:15:34,440 --> 00:15:35,240 Speaker 5: is better than anything. 315 00:15:35,320 --> 00:15:38,440 Speaker 3: So what's been happening for decades is that we've been 316 00:15:38,560 --> 00:15:43,320 Speaker 3: subsidizing the United States has been subsidizing low cost prescriptions 317 00:15:43,720 --> 00:15:44,720 Speaker 3: in other countries. 318 00:15:44,760 --> 00:15:46,640 Speaker 5: And what Trump has said, Nope, you're not going to 319 00:15:46,720 --> 00:15:46,960 Speaker 5: do that. 320 00:15:47,400 --> 00:15:49,680 Speaker 3: You're going to now give us, you know, most Favored 321 00:15:49,720 --> 00:15:52,760 Speaker 3: Trading Nation status. So it basically says, hey, whatever the 322 00:15:52,880 --> 00:15:55,920 Speaker 3: lowest price is that you're selling this for anywhere else 323 00:15:55,920 --> 00:15:59,000 Speaker 3: in the world, you've got to offer that to American citizens. 324 00:15:59,040 --> 00:16:01,800 Speaker 3: And that's part of this equation here and part of 325 00:16:01,800 --> 00:16:03,360 Speaker 3: what Trump is doing with trump RX. 326 00:16:03,440 --> 00:16:07,360 Speaker 1: Another one of the medications listed is insulin lips pro. 327 00:16:07,480 --> 00:16:10,040 Speaker 2: That seems like that's probably pretty important. 328 00:16:10,080 --> 00:16:11,800 Speaker 5: Sounds pretty important, Yeah, starting. 329 00:16:11,480 --> 00:16:14,480 Speaker 1: In twenty five dollars. But you've got Mark Cuban. Of course, 330 00:16:14,520 --> 00:16:17,840 Speaker 1: Mark Cuban has his own low. 331 00:16:17,640 --> 00:16:20,720 Speaker 3: Cost internet based pharmacy is probably the best way to 332 00:16:20,760 --> 00:16:21,120 Speaker 3: describe it. 333 00:16:21,160 --> 00:16:25,200 Speaker 1: Yeah, yes, his own medication company. And he's saying that, Yeah, 334 00:16:25,240 --> 00:16:27,520 Speaker 1: he wants to work with trump URX. 335 00:16:27,400 --> 00:16:31,000 Speaker 7: We'll work with trump OURX. I mean it's incredible, it's stupendous. 336 00:16:31,120 --> 00:16:35,200 Speaker 7: It's like the most incredible program ever. And so we're 337 00:16:35,200 --> 00:16:38,520 Speaker 7: excited to offer them our API so that they'll be 338 00:16:38,560 --> 00:16:42,120 Speaker 7: able to download our daily prices so when they go down, 339 00:16:42,160 --> 00:16:43,200 Speaker 7: everybody benefits. 340 00:16:43,400 --> 00:16:43,720 Speaker 5: Plus. 341 00:16:43,720 --> 00:16:46,720 Speaker 7: I like what they're doing with the MFNS because, as 342 00:16:46,840 --> 00:16:50,240 Speaker 7: I mentioned in my comments, our brand drugs are more 343 00:16:50,240 --> 00:16:53,960 Speaker 7: expensive because PBMs are involved. And with trump URX and 344 00:16:54,000 --> 00:16:57,560 Speaker 7: the MFN program that allows manufacturers to work around the 345 00:16:57,600 --> 00:17:01,040 Speaker 7: PBMs and work directly to patient. So I think it'll 346 00:17:01,040 --> 00:17:04,120 Speaker 7: save seniors, it'll save everybody a lot of money. 347 00:17:04,240 --> 00:17:05,480 Speaker 5: You think this is the future. 348 00:17:06,560 --> 00:17:09,440 Speaker 7: I don't think it solves the ultimate problem of how 349 00:17:09,480 --> 00:17:12,000 Speaker 7: the system is designed, but I think it's something that 350 00:17:12,040 --> 00:17:14,919 Speaker 7: we obviously agree on because that's what cost plus Drugs is. 351 00:17:15,240 --> 00:17:17,120 Speaker 7: We publish our entire price lists every day. 352 00:17:18,080 --> 00:17:21,679 Speaker 2: Your company post drug prices will full costs breakdowns. 353 00:17:21,680 --> 00:17:24,800 Speaker 6: How does this transparency help save patients money? 354 00:17:25,200 --> 00:17:28,119 Speaker 7: I mean, you know, with costplus Drugs dot Com, any 355 00:17:28,200 --> 00:17:30,240 Speaker 7: patient can just go look at their price for their 356 00:17:30,240 --> 00:17:34,360 Speaker 7: medication and so there's no uncertainty. But more importantly, by 357 00:17:34,359 --> 00:17:36,879 Speaker 7: seeing our markup of only fifteen percent and seeing our 358 00:17:36,920 --> 00:17:40,000 Speaker 7: costs that builds trust. I always tell everybody in our 359 00:17:40,040 --> 00:17:42,600 Speaker 7: company that what we really sell in this industry is trust, 360 00:17:43,000 --> 00:17:45,040 Speaker 7: and so I think that's what's really allowed us to 361 00:17:45,080 --> 00:17:45,880 Speaker 7: grow so quickly. 362 00:17:46,920 --> 00:17:51,320 Speaker 1: So you've got Mark Cuban, a guy who completely disagrees 363 00:17:51,359 --> 00:17:56,200 Speaker 1: with Donald Trump politically on most everything, saying that this 364 00:17:56,240 --> 00:18:00,000 Speaker 1: is a good thing, This is a step towards lower prices, 365 00:18:00,119 --> 00:18:02,560 Speaker 1: some more transparency when it comes to your medical care. 366 00:18:02,680 --> 00:18:04,560 Speaker 3: Yeah, let's give some props to Mark Cuban because he 367 00:18:04,600 --> 00:18:06,640 Speaker 3: clearly drank the liberal kool aid and the twenty twenty 368 00:18:06,640 --> 00:18:09,359 Speaker 3: four election came out hard for Kamala Harris. Hated everything 369 00:18:09,400 --> 00:18:12,720 Speaker 3: Trump did. And look, I am assuming that you'll see 370 00:18:12,760 --> 00:18:15,280 Speaker 3: some Democrats come out against Trump OURX. I mean that's 371 00:18:15,280 --> 00:18:17,760 Speaker 3: what they do anything Trump does. I'm sure Schumer is 372 00:18:17,840 --> 00:18:19,840 Speaker 3: just ready to hit send on that press release that 373 00:18:19,880 --> 00:18:22,879 Speaker 3: says that he's opposed to lower prescription drug prices through 374 00:18:22,920 --> 00:18:25,080 Speaker 3: Trump our X for some reason. But let's give some 375 00:18:25,119 --> 00:18:27,640 Speaker 3: credit to Mark Cuban for at least being an honest 376 00:18:27,680 --> 00:18:30,320 Speaker 3: broker when it comes to this situation. He's been publicly 377 00:18:30,440 --> 00:18:33,280 Speaker 3: no fan of Trump, publicly supported Kamala Harris in twenty 378 00:18:33,320 --> 00:18:36,560 Speaker 3: twenty four. But he's more adult enough to look at 379 00:18:36,560 --> 00:18:40,320 Speaker 3: this situations, on this specific situation what Donald Trump is doing, 380 00:18:40,359 --> 00:18:42,560 Speaker 3: and we want to work well closely with him on it. 381 00:18:42,560 --> 00:18:44,280 Speaker 1: It does get patients a way to shop around to 382 00:18:44,320 --> 00:18:49,000 Speaker 1: compare prices, and it's a market driven so go where 383 00:18:49,000 --> 00:18:49,720 Speaker 1: the price is. 384 00:18:49,720 --> 00:18:53,040 Speaker 3: Cheapest, and everybody's trying to crack this code. Look, the 385 00:18:53,080 --> 00:18:57,120 Speaker 3: prescription drug industry is ripe for disruption, and the tech 386 00:18:57,280 --> 00:19:00,520 Speaker 3: entrepreneurs have been masters of business to disrupt and that's 387 00:19:00,560 --> 00:19:04,399 Speaker 3: why Mark Cuban entered this with his own pharmacy online 388 00:19:04,480 --> 00:19:06,920 Speaker 3: and has started to be successful at it. And now 389 00:19:06,920 --> 00:19:10,000 Speaker 3: he's got an ally and a similar product called trump Arx, 390 00:19:10,040 --> 00:19:12,480 Speaker 3: and Cuban wants his company to work closely with trump 391 00:19:12,640 --> 00:19:16,240 Speaker 3: Rx with the goal of just making medications more affordable 392 00:19:16,280 --> 00:19:18,760 Speaker 3: to the public. So it's certainly a worthy goal. But 393 00:19:18,840 --> 00:19:21,199 Speaker 3: this is this is a tough problem to solve. There 394 00:19:21,200 --> 00:19:23,920 Speaker 3: are a lot of people and a very strong pharmaceutical 395 00:19:23,920 --> 00:19:26,920 Speaker 3: lobby that don't want lower pharmaceutical process of prices for 396 00:19:26,960 --> 00:19:29,320 Speaker 3: the American people. They've got a they've still got a 397 00:19:29,359 --> 00:19:32,080 Speaker 3: long row, a long hard fought ahead of them. But 398 00:19:32,320 --> 00:19:35,359 Speaker 3: Trump and Cuban sounds like they're working together on this. 399 00:19:35,600 --> 00:19:38,200 Speaker 1: I it's I'm sure going to be a long time 400 00:19:38,280 --> 00:19:41,480 Speaker 1: before you've got your specialty pharmacies or your black label 401 00:19:41,560 --> 00:19:44,400 Speaker 1: drugs that are available for comparative shopping. 402 00:19:44,840 --> 00:19:47,200 Speaker 2: I for one, cannot wait for that day to happen. 403 00:19:47,440 --> 00:19:50,600 Speaker 3: And ultimately, look, pharmaceuticals are going to be expensive research 404 00:19:50,640 --> 00:19:53,320 Speaker 3: and development. Everybody loves to rip on big pharma, but 405 00:19:53,359 --> 00:19:55,639 Speaker 3: as soon as big pharma spends you know, ten billion 406 00:19:55,720 --> 00:20:00,480 Speaker 3: dollars developing a drug that saves people's lives, they've. 407 00:20:00,280 --> 00:20:02,600 Speaker 5: Got to be able to recoup that ten billion dollars. 408 00:20:02,640 --> 00:20:05,040 Speaker 3: Now, what we don't want is them price gouging and 409 00:20:05,119 --> 00:20:10,320 Speaker 3: creating all these astronomical, unaffordable prices for people. But you 410 00:20:10,400 --> 00:20:14,600 Speaker 3: can't regulate this because if we regulate too hard prescription 411 00:20:14,760 --> 00:20:17,359 Speaker 3: drug prices, what you'll see is pharmaceutical companies will just 412 00:20:17,400 --> 00:20:20,159 Speaker 3: stop spending all the billions on research and development that 413 00:20:20,200 --> 00:20:22,000 Speaker 3: they're doing right now. Because a lot of times, when 414 00:20:22,000 --> 00:20:24,720 Speaker 3: those pharmaceutical companies they spend a couple billion researching this 415 00:20:24,800 --> 00:20:27,719 Speaker 3: drug and it turns out, yeah, that didn't work, and 416 00:20:27,720 --> 00:20:29,920 Speaker 3: they're out those two to three billion dollars, they've got 417 00:20:29,920 --> 00:20:32,199 Speaker 3: no way to recoup it other than just charging more 418 00:20:32,240 --> 00:20:32,960 Speaker 3: for their other drugs. 419 00:20:32,960 --> 00:20:34,960 Speaker 1: It's really easy to pick on big pharma until you're 420 00:20:34,960 --> 00:20:35,800 Speaker 1: in need of big fire. 421 00:20:35,920 --> 00:20:35,960 Speaker 8: Lo. 422 00:20:36,119 --> 00:20:38,800 Speaker 3: Look, we've had situations in our lives where there are 423 00:20:39,160 --> 00:20:42,440 Speaker 3: prescription medications that have, you know, either saved our lives 424 00:20:42,520 --> 00:20:44,240 Speaker 3: or made our lives a lot more comfortable than they 425 00:20:44,240 --> 00:20:46,600 Speaker 3: would have been without them. So yeah, it's easy to 426 00:20:46,600 --> 00:20:49,080 Speaker 3: hate on big pharma, but what they've done to be 427 00:20:49,119 --> 00:20:52,640 Speaker 3: able to literally save people's lives is something that can't 428 00:20:52,680 --> 00:20:53,160 Speaker 3: be ignored. 429 00:20:53,560 --> 00:21:03,119 Speaker 2: You're listening to ninety three WYBC. Imagine this. You practice 430 00:21:03,160 --> 00:21:05,600 Speaker 2: for years and years, you become. 431 00:21:05,840 --> 00:21:09,560 Speaker 1: Top of your game at an individual sport, you make 432 00:21:09,600 --> 00:21:13,560 Speaker 1: it to the Olympics, you do your run, you just finish. 433 00:21:13,600 --> 00:21:14,920 Speaker 2: You're at the bottom of the hill. 434 00:21:15,359 --> 00:21:19,479 Speaker 1: You've got the post run interview, and that is the 435 00:21:19,560 --> 00:21:22,439 Speaker 1: moment that you decide to tell the world of all 436 00:21:22,480 --> 00:21:23,520 Speaker 1: of your indiscretions. 437 00:21:23,600 --> 00:21:26,600 Speaker 3: Yeah, this is kind of a breaking story that's happened today. 438 00:21:26,640 --> 00:21:30,440 Speaker 3: This is a Norwegian biathlete and I'm gonna totally botch 439 00:21:30,480 --> 00:21:32,280 Speaker 3: his name, but who cares. We'll give it a shot here. 440 00:21:32,600 --> 00:21:38,320 Speaker 3: Sterla Holme Lagreed took home the bronze medal just this 441 00:21:38,440 --> 00:21:43,040 Speaker 3: morning in the men's two hundred kilometer individual biathlon race today. 442 00:21:43,080 --> 00:21:45,000 Speaker 5: And so you know, typically we see these. 443 00:21:44,920 --> 00:21:46,719 Speaker 3: When they're on you know, they're skiing and they're at 444 00:21:46,760 --> 00:21:48,600 Speaker 3: the bottom of the hill and they just finish, and 445 00:21:48,840 --> 00:21:51,280 Speaker 3: there are the reporters. We want to get your initial reaction. 446 00:21:51,600 --> 00:21:54,600 Speaker 3: And so what does he do. He starts talking about 447 00:21:54,600 --> 00:21:57,560 Speaker 3: how six months ago met the love of his life, 448 00:21:57,600 --> 00:22:00,320 Speaker 3: the most beautiful woman in the world. But I have 449 00:22:00,400 --> 00:22:03,600 Speaker 3: to admit my mistakes and I cheated on her. And 450 00:22:03,720 --> 00:22:06,080 Speaker 3: all of a sudden, he turns the post race interview 451 00:22:06,119 --> 00:22:08,879 Speaker 3: into like a therapy session, like he's talking with his 452 00:22:08,920 --> 00:22:11,760 Speaker 3: therapist and laying on the couch and starts admitting that 453 00:22:11,800 --> 00:22:13,679 Speaker 3: he cheated on his girlfriend. 454 00:22:13,080 --> 00:22:15,800 Speaker 5: I do have a little bit of audio on this. 455 00:22:16,640 --> 00:22:17,600 Speaker 5: It'll be very. 456 00:22:19,280 --> 00:22:22,000 Speaker 3: Well, it'll be very impactful to everybody because it's in Norwegian. 457 00:22:22,240 --> 00:22:23,600 Speaker 9: But we'll give it a shot here to give you 458 00:22:23,600 --> 00:22:36,080 Speaker 9: an idea of it. So he just basically is talking 459 00:22:36,119 --> 00:22:38,320 Speaker 9: to this interviewer and you you kind of see the 460 00:22:38,359 --> 00:22:41,600 Speaker 9: look on the interviewer's faces, like, what are we doing here? 461 00:22:41,640 --> 00:22:41,840 Speaker 1: Man? 462 00:22:41,920 --> 00:22:42,920 Speaker 5: I thought I just I. 463 00:22:42,880 --> 00:22:45,040 Speaker 3: Just wanted to talk to you about winning the bronze medal, 464 00:22:45,280 --> 00:22:47,760 Speaker 3: And you're telling me about how you cheated on your girlfriend. 465 00:22:47,760 --> 00:22:50,919 Speaker 5: What you tell me you cheated on your taxes? You know, 466 00:22:51,160 --> 00:22:53,040 Speaker 5: did you cheat on this race? Do you do? 467 00:22:53,119 --> 00:22:55,359 Speaker 3: You dine and dash, You go to a restaurant, skip 468 00:22:55,400 --> 00:22:57,760 Speaker 3: out before paying the bill. You see some garbage laying 469 00:22:57,800 --> 00:22:59,320 Speaker 3: on the ground in the living room, you just kick 470 00:22:59,359 --> 00:23:00,879 Speaker 3: it under the cow for somebody else. 471 00:23:00,720 --> 00:23:04,600 Speaker 2: The biggest moment of your life. He was just struck 472 00:23:04,640 --> 00:23:07,640 Speaker 2: with guilt. He wanted to celebrate with somebody. 473 00:23:07,760 --> 00:23:10,479 Speaker 1: She wasn't there, and he said, well, you know what, 474 00:23:10,520 --> 00:23:11,880 Speaker 1: it's because I cheated on her. 475 00:23:12,440 --> 00:23:15,960 Speaker 3: It was probably just full of emotion and just spilled 476 00:23:16,000 --> 00:23:17,360 Speaker 3: it all, let it all come out. 477 00:23:17,720 --> 00:23:19,560 Speaker 5: Actually, he wraps up the interview. 478 00:23:19,600 --> 00:23:21,440 Speaker 3: It's kind of interesting because when I read this whole 479 00:23:21,520 --> 00:23:24,679 Speaker 3: article and saw the transcript of the interview, you know, 480 00:23:24,800 --> 00:23:26,880 Speaker 3: your first impression is this guy's out of his mind. 481 00:23:26,880 --> 00:23:28,720 Speaker 5: What the heck's he doing? But he actually wraps it 482 00:23:28,760 --> 00:23:29,239 Speaker 5: up in a good way. 483 00:23:29,280 --> 00:23:31,080 Speaker 3: He goes on to say that, look, I wanted to 484 00:23:31,160 --> 00:23:33,560 Speaker 3: be a good role model, and that means admitting when 485 00:23:33,600 --> 00:23:36,920 Speaker 3: I make mistakes. Oh wow, So you got to have 486 00:23:36,960 --> 00:23:38,720 Speaker 3: a little bit of love for him on that. That's 487 00:23:38,760 --> 00:23:41,479 Speaker 3: a strong point to stand on. Maybe not at the 488 00:23:41,520 --> 00:23:45,159 Speaker 3: bottom of the hill right after your Olympic race. Maybe 489 00:23:45,440 --> 00:23:48,520 Speaker 3: you give yourself a time and I look, admitting your 490 00:23:48,520 --> 00:23:50,200 Speaker 3: mistakes it's a wonderful virtue. 491 00:23:50,240 --> 00:23:51,200 Speaker 5: We should all do it. 492 00:23:51,400 --> 00:23:54,440 Speaker 3: But maybe give yourself a couple of days or or 493 00:23:54,480 --> 00:23:57,320 Speaker 3: come back home. Not right when you've just finished your 494 00:23:57,359 --> 00:24:00,679 Speaker 3: event in the Olympics, with the entire war watching you 495 00:24:00,760 --> 00:24:03,280 Speaker 3: being interviewed and admitting that you cheated on your girlfriend. 496 00:24:03,400 --> 00:24:06,680 Speaker 1: Admit your mistake, apologize, take corrective action. 497 00:24:06,840 --> 00:24:08,320 Speaker 2: Did he apologize? We don't know. 498 00:24:08,760 --> 00:24:11,200 Speaker 5: Because he's speaking, because he's speaking Norwegian. 499 00:24:11,240 --> 00:24:12,679 Speaker 3: That's as far as I've gotten, But if I have, 500 00:24:12,760 --> 00:24:15,440 Speaker 3: maybe I'll find him on Instagram and DM He said. 501 00:24:15,280 --> 00:24:17,280 Speaker 2: It was the biggest mistake of his life. 502 00:24:17,119 --> 00:24:18,840 Speaker 5: Biggest mistake of his entire life. 503 00:24:19,960 --> 00:24:21,840 Speaker 3: And he needs to be a good person and a 504 00:24:21,840 --> 00:24:24,040 Speaker 3: good role model, and part of that is admitting when 505 00:24:24,040 --> 00:24:25,000 Speaker 3: you've got mistakes. 506 00:24:25,000 --> 00:24:28,159 Speaker 5: I applaud him for that concept. 507 00:24:28,480 --> 00:24:31,520 Speaker 3: I think the context and the setting could have been 508 00:24:31,560 --> 00:24:35,560 Speaker 3: a little execution, maybe a little sloppy buddy, which maybe 509 00:24:35,560 --> 00:24:37,680 Speaker 3: you could have said that by his his skiing race 510 00:24:37,720 --> 00:24:40,800 Speaker 3: too well, you know, wonderful concept and strategy going in 511 00:24:40,920 --> 00:24:43,119 Speaker 3: not quite the best execution, but you got the bronze. 512 00:24:43,119 --> 00:24:46,920 Speaker 1: Anyway, maybe after he got the medal, right, like after 513 00:24:46,960 --> 00:24:49,240 Speaker 1: he stands on the podium, he gets the medal, then 514 00:24:49,320 --> 00:24:52,840 Speaker 1: he's doing the post you know, metal interview, and that's 515 00:24:52,840 --> 00:24:54,399 Speaker 1: when he says, Okay, you know what, I have to 516 00:24:54,400 --> 00:24:57,119 Speaker 1: come clean with something. This has really been weighing on me, 517 00:24:57,640 --> 00:24:58,720 Speaker 1: not right after the race. 518 00:24:58,800 --> 00:25:00,359 Speaker 3: What must be great if this tends up being a 519 00:25:00,440 --> 00:25:02,879 Speaker 3: trend where as soon as the Olympian is done with 520 00:25:02,920 --> 00:25:04,119 Speaker 3: whatever advance. 521 00:25:03,960 --> 00:25:06,600 Speaker 5: They starts spilling stuff. You know, I've got this. 522 00:25:06,680 --> 00:25:09,600 Speaker 3: Terrible online shopping addiction. I've got a dozen boxes from 523 00:25:09,640 --> 00:25:12,280 Speaker 3: Amazon on my doorstep every single day, and I just 524 00:25:12,320 --> 00:25:13,320 Speaker 3: need to get it out there. 525 00:25:13,600 --> 00:25:14,480 Speaker 2: Well, you know what, You've. 526 00:25:14,359 --> 00:25:18,080 Speaker 1: Got some American Olympians who could do that. They could 527 00:25:18,280 --> 00:25:21,800 Speaker 1: they could win their medal or finish their performance. 528 00:25:21,320 --> 00:25:23,600 Speaker 2: And that's it. I have something to confess. 529 00:25:23,680 --> 00:25:26,040 Speaker 1: I was an idiot when I was bashing the United 530 00:25:26,080 --> 00:25:26,959 Speaker 1: States the other day. 531 00:25:27,080 --> 00:25:28,960 Speaker 5: Yeah, good luck getting that sort of vote. 532 00:25:29,000 --> 00:25:31,840 Speaker 1: Well, one of them is you remember Hunter Hess He 533 00:25:32,040 --> 00:25:35,879 Speaker 1: was the guy who was representing the United States and 534 00:25:35,960 --> 00:25:38,359 Speaker 1: didn't have all of the best things to say. 535 00:25:38,720 --> 00:25:41,560 Speaker 8: Brings up makexed emotions to represent the us right now. 536 00:25:41,600 --> 00:25:46,000 Speaker 8: I think it's a little hard. There's obviously a lot 537 00:25:46,080 --> 00:25:48,400 Speaker 8: going on that I'm not the biggest fan of, and. 538 00:25:48,359 --> 00:25:49,560 Speaker 5: I think a lot of people aren't. 539 00:25:49,760 --> 00:25:53,119 Speaker 8: If it aligns with my moral values, I feel like 540 00:25:53,160 --> 00:25:55,160 Speaker 8: I'm representing it just because. 541 00:25:55,240 --> 00:25:59,840 Speaker 1: Yeah, we remember this guy. Anyway, he's backpedaling. He posted 542 00:26:00,040 --> 00:26:02,720 Speaker 1: I believe it's on his Instagram account. He said, there 543 00:26:02,800 --> 00:26:06,080 Speaker 1: is so much that is great about America, but there 544 00:26:06,119 --> 00:26:10,080 Speaker 1: are always things that could be better. Oh wait a minute, 545 00:26:10,520 --> 00:26:14,159 Speaker 1: he said something, got some heat from it, and then decided, well, 546 00:26:14,359 --> 00:26:15,680 Speaker 1: I better change what I said. 547 00:26:15,760 --> 00:26:17,200 Speaker 5: Right, I might have lost a couple of spawn. 548 00:26:17,240 --> 00:26:19,600 Speaker 3: My sponsors are really upset about this, and so now 549 00:26:19,600 --> 00:26:20,400 Speaker 3: I got a backtrack. 550 00:26:20,520 --> 00:26:21,479 Speaker 5: I find it really interesting. 551 00:26:21,720 --> 00:26:23,639 Speaker 3: I'm really glad that you played those two We did 552 00:26:23,680 --> 00:26:27,160 Speaker 3: these two stories back to back because they are similar 553 00:26:27,280 --> 00:26:31,480 Speaker 3: in some ways. In that again, Hunter has It's great 554 00:26:31,480 --> 00:26:36,000 Speaker 3: if you've got that opinion. Being overseas in Italy representing 555 00:26:36,040 --> 00:26:39,320 Speaker 3: America in the Olympics is not the time and place 556 00:26:39,400 --> 00:26:43,360 Speaker 3: to start spouting about all the problems you have with Donald. 557 00:26:43,040 --> 00:26:44,360 Speaker 5: Trump in this administration. 558 00:26:44,600 --> 00:26:47,560 Speaker 3: It's fine if you have that opinion, but maybe do 559 00:26:47,640 --> 00:26:49,720 Speaker 3: it in another context. It's fine if you want to 560 00:26:49,760 --> 00:26:52,359 Speaker 3: admit that you cheated on your girlfriend, maybe wait until 561 00:26:52,400 --> 00:26:54,440 Speaker 3: after you know you're off the slopes. 562 00:26:54,080 --> 00:26:54,480 Speaker 5: To do that. 563 00:26:54,720 --> 00:26:55,800 Speaker 2: So you've also got this. 564 00:26:56,160 --> 00:26:59,720 Speaker 1: He's a British American Olympic ski er. His name is 565 00:27:00,119 --> 00:27:01,280 Speaker 1: u ken Worthy. 566 00:27:01,400 --> 00:27:03,440 Speaker 5: Wait, I'm already confused. So is he is? 567 00:27:03,520 --> 00:27:03,639 Speaker 1: He? 568 00:27:03,880 --> 00:27:06,399 Speaker 5: Is he on Team Britain or Team USA? 569 00:27:06,440 --> 00:27:08,000 Speaker 2: He competes for Great Britain. 570 00:27:08,520 --> 00:27:11,600 Speaker 1: But he grew up and went to school and lives 571 00:27:11,840 --> 00:27:13,119 Speaker 1: in the United States. 572 00:27:13,600 --> 00:27:17,400 Speaker 2: Okay, and he well, he did a little something. 573 00:27:19,359 --> 00:27:21,479 Speaker 1: I don't even know how to describe this. He had 574 00:27:21,520 --> 00:27:24,920 Speaker 1: a bad message. It was blank ice and he pete 575 00:27:24,960 --> 00:27:27,040 Speaker 1: it in the snow. There you go, That's what it was. 576 00:27:27,080 --> 00:27:29,879 Speaker 1: And he took a picture of it and he posted 577 00:27:29,920 --> 00:27:34,560 Speaker 1: it on his Instagram account and he got a lot 578 00:27:34,560 --> 00:27:35,159 Speaker 1: of heat for it. 579 00:27:35,160 --> 00:27:36,640 Speaker 2: People who are coming after him. 580 00:27:36,760 --> 00:27:37,119 Speaker 5: Shocker. 581 00:27:37,240 --> 00:27:40,000 Speaker 3: Hey, you got your political opinions and you spout him 582 00:27:40,000 --> 00:27:41,760 Speaker 3: off in the middle of the Olympics and you got 583 00:27:41,760 --> 00:27:42,440 Speaker 3: some blowback. 584 00:27:42,520 --> 00:27:43,560 Speaker 5: Color me surprised. 585 00:27:43,600 --> 00:27:47,160 Speaker 1: And then he decided to do a little confessional when 586 00:27:47,200 --> 00:27:50,320 Speaker 1: he was in his room after some events, he was 587 00:27:50,359 --> 00:27:54,560 Speaker 1: by himself, and he decided to tell you why he 588 00:27:54,600 --> 00:27:54,960 Speaker 1: did that. 589 00:27:56,040 --> 00:27:59,119 Speaker 10: Bear in mind everyone that like you can love the 590 00:27:59,280 --> 00:28:02,720 Speaker 10: US and be proud to be an American. I am, 591 00:28:03,520 --> 00:28:08,680 Speaker 10: and still think it can be better and still think 592 00:28:08,680 --> 00:28:10,920 Speaker 10: that the country can improve. And just because he loved 593 00:28:10,920 --> 00:28:13,600 Speaker 10: the US doesn't mean you stand with this administration and 594 00:28:13,640 --> 00:28:19,280 Speaker 10: stand behind their policies and their legislation and support the 595 00:28:19,320 --> 00:28:22,840 Speaker 10: things that they support, because I don't and I do 596 00:28:22,920 --> 00:28:26,960 Speaker 10: not support ice, and I think it's absolutely evil and 597 00:28:27,119 --> 00:28:29,240 Speaker 10: awful and terrifying. 598 00:28:30,000 --> 00:28:33,000 Speaker 1: Okay, so he's saying he doesn't support ice, ironic that 599 00:28:33,040 --> 00:28:35,960 Speaker 1: he's a snow skier. I'm checking to see if he's 600 00:28:35,960 --> 00:28:39,200 Speaker 1: well hydrated as eped in the snow. He had quite 601 00:28:39,400 --> 00:28:44,640 Speaker 1: good accuracy as well. Yeah, there's no way that that's real. 602 00:28:45,640 --> 00:28:47,000 Speaker 5: And now this I will challenge you on. 603 00:28:47,120 --> 00:28:52,560 Speaker 3: As men, we have spent a lifetime urinating outdoors. Many 604 00:28:52,600 --> 00:28:55,400 Speaker 3: of us actually enjoy it. And when it comes to 605 00:28:55,440 --> 00:28:57,160 Speaker 3: writing your name in the snow, we've been doing that 606 00:28:57,200 --> 00:28:59,240 Speaker 3: since we were five years old. So I think it's 607 00:28:59,360 --> 00:29:00,000 Speaker 3: entirely possible. 608 00:29:00,360 --> 00:29:00,960 Speaker 2: You think that's real. 609 00:29:01,040 --> 00:29:02,360 Speaker 5: Yeah, I think it's entirely possible. 610 00:29:02,400 --> 00:29:05,880 Speaker 3: It's real because as men, we take great pride in 611 00:29:05,920 --> 00:29:08,560 Speaker 3: our ability to write and write in the snow like this. 612 00:29:08,640 --> 00:29:10,560 Speaker 2: Look, you can aim in the snow, but not in 613 00:29:10,560 --> 00:29:11,080 Speaker 2: the bathroom. 614 00:29:11,120 --> 00:29:11,800 Speaker 5: But got it all. 615 00:29:12,520 --> 00:29:16,360 Speaker 3: All of these athletes need to go back and learn 616 00:29:16,480 --> 00:29:19,400 Speaker 3: from the goat the greatest of all time when it 617 00:29:19,440 --> 00:29:22,040 Speaker 3: came to being an athlete and it came to being 618 00:29:22,040 --> 00:29:24,840 Speaker 3: a spokesman and getting your views out there. We look 619 00:29:24,880 --> 00:29:28,680 Speaker 3: to Michael Jordan, who, when asked about it, famously said, 620 00:29:29,360 --> 00:29:30,920 Speaker 3: Republicans by sneakers too. 621 00:29:31,040 --> 00:29:31,480 Speaker 2: That's right. 622 00:29:31,560 --> 00:29:34,719 Speaker 3: That's why I'm not involved with politics. I could stand 623 00:29:34,720 --> 00:29:37,920 Speaker 3: of these athletes. I'm good not knowing their opinions on 624 00:29:37,960 --> 00:29:40,720 Speaker 3: all things politics. How about you just do the race 625 00:29:40,920 --> 00:29:43,080 Speaker 3: and we all either cheer for you, or if you're 626 00:29:43,120 --> 00:29:45,520 Speaker 3: from another country, we, you know, in good fun, root 627 00:29:45,560 --> 00:29:47,600 Speaker 3: against you, and then we all go on our merry 628 00:29:47,640 --> 00:29:51,680 Speaker 3: little way. I don't need to know Hunter Hess's personal 629 00:29:51,720 --> 00:29:55,520 Speaker 3: opinions about every specific policy this country's got, especially coming 630 00:29:55,560 --> 00:29:56,600 Speaker 3: from the Trump administration. 631 00:29:56,680 --> 00:29:59,440 Speaker 5: And at the end, he really he does himself no favors. 632 00:29:59,520 --> 00:30:02,480 Speaker 3: He does him self no favors because, as we know, sponsors, 633 00:30:02,520 --> 00:30:05,160 Speaker 3: whether they agree with this or not, they don't want 634 00:30:05,200 --> 00:30:08,280 Speaker 3: to be part of politically charged discussions. It's just not 635 00:30:08,440 --> 00:30:09,320 Speaker 3: good for business. 636 00:30:09,680 --> 00:30:10,520 Speaker 2: I'm wondering if. 637 00:30:10,360 --> 00:30:13,200 Speaker 1: The Norwegian who said that he cheated on his girlfriend 638 00:30:13,280 --> 00:30:14,560 Speaker 1: after his Olympic run. 639 00:30:15,040 --> 00:30:17,240 Speaker 2: If he was trying to use that to. 640 00:30:17,200 --> 00:30:19,920 Speaker 1: Be the victim of why he had a poor performance, 641 00:30:20,320 --> 00:30:22,520 Speaker 1: my mind just wasn't focused on the race. 642 00:30:22,600 --> 00:30:24,000 Speaker 2: I was thinking of something else. 643 00:30:24,240 --> 00:30:27,240 Speaker 3: Well, since I don't speak Norwegian and that's the only 644 00:30:27,280 --> 00:30:29,760 Speaker 3: way that he that's the language that he used to 645 00:30:29,760 --> 00:30:33,360 Speaker 3: do the postgame interview. I'm I'm left with context clues 646 00:30:33,680 --> 00:30:37,200 Speaker 3: and kind of my visual body language clues that did 647 00:30:37,240 --> 00:30:40,000 Speaker 3: not come across that way. It really came across. There 648 00:30:40,080 --> 00:30:42,560 Speaker 3: was this guy, he was emotional. It was the end 649 00:30:42,600 --> 00:30:44,440 Speaker 3: of his race at the Olympics and he was just 650 00:30:44,520 --> 00:30:47,440 Speaker 3: full of emotions and had to let them all out. 651 00:30:47,640 --> 00:30:51,240 Speaker 1: So you also had several Olympic athletes saying that their 652 00:30:51,280 --> 00:30:54,800 Speaker 1: medals are falling apart, that they've fallen off the ribbons 653 00:30:54,840 --> 00:30:59,120 Speaker 1: and they're breaking during the celebrations right after they've received them. 654 00:30:59,320 --> 00:31:01,960 Speaker 5: Yeah. American downhill skille skier Breezy, who is one of 655 00:31:01,960 --> 00:31:04,040 Speaker 5: the first Johns. Yeah. In fact, I think she was 656 00:31:04,120 --> 00:31:04,800 Speaker 5: the first. 657 00:31:04,560 --> 00:31:07,400 Speaker 3: Gold medal winner for the Americans in this entire Olympics, 658 00:31:07,840 --> 00:31:10,280 Speaker 3: said that she was celebrating. 659 00:31:09,680 --> 00:31:12,200 Speaker 5: And jumping in excitement, had the medal around her neck. 660 00:31:12,280 --> 00:31:15,160 Speaker 3: Jumping up and now an excitement and the medal separated 661 00:31:15,200 --> 00:31:17,719 Speaker 3: from the lanyard part, and now it's broken. 662 00:31:17,800 --> 00:31:21,920 Speaker 1: The Olympic organizers say they are investigating. You also had 663 00:31:22,680 --> 00:31:25,320 Speaker 1: Lindsay Vaughn come out and she put out a message 664 00:31:25,360 --> 00:31:29,200 Speaker 1: about her Olympic run and how her Olympic dream did 665 00:31:29,200 --> 00:31:33,960 Speaker 1: not finish the way she dreamt it would, no kidding, 666 00:31:34,640 --> 00:31:36,800 Speaker 1: She said it had nothing to do with her acl 667 00:31:37,480 --> 00:31:42,560 Speaker 1: and she sustained a complex to be a fracture instead. 668 00:31:42,400 --> 00:31:45,680 Speaker 3: And you know, talked about looking toward Michael Jordan for 669 00:31:45,720 --> 00:31:49,080 Speaker 3: how athletes are best served by interacting with the media. 670 00:31:49,240 --> 00:31:51,400 Speaker 3: Lindsay Vaughn's another great one because she was asked the 671 00:31:51,400 --> 00:31:53,520 Speaker 3: same question about how, you know, what do you think 672 00:31:53,520 --> 00:31:56,120 Speaker 3: about representing the United States, And her answer was just, 673 00:31:56,280 --> 00:31:59,640 Speaker 3: you know, textbook perfect. I'm always proud to represent my 674 00:31:59,680 --> 00:32:01,480 Speaker 3: country and I can't wait to go out here and 675 00:32:01,520 --> 00:32:04,680 Speaker 3: compete for Team USA. And she had a really good statement. 676 00:32:04,720 --> 00:32:08,040 Speaker 3: There was no whining and crying on her part. She 677 00:32:08,600 --> 00:32:10,840 Speaker 3: obviously has been doing this for a long time and 678 00:32:10,880 --> 00:32:14,240 Speaker 3: it certainly shows in the way that she carries herself. 679 00:32:13,920 --> 00:32:16,760 Speaker 1: With the om and the difference between Summer and Winter 680 00:32:16,920 --> 00:32:19,280 Speaker 1: Olympics this woman has an observation. 681 00:32:20,080 --> 00:32:22,720 Speaker 11: The difference between the Summer and the Winter Olympics is 682 00:32:22,760 --> 00:32:28,800 Speaker 11: amazing because the Summer Olympics are like, let's go swimming, basketball, soccer, yay, gymnastics. 683 00:32:29,080 --> 00:32:31,640 Speaker 11: The Winter Olympics is like, if you make one wrong move, 684 00:32:31,680 --> 00:32:34,120 Speaker 11: you may die. You're hurling yourself off a mountain. You've 685 00:32:34,120 --> 00:32:38,160 Speaker 11: got knives on your feet. Like the summer triathlon is 686 00:32:38,200 --> 00:32:42,240 Speaker 11: like swim, run, bike. The winter by alon is here's 687 00:32:42,280 --> 00:32:45,360 Speaker 11: a gun. It's crazy. I love it. 688 00:32:46,480 --> 00:32:47,960 Speaker 3: I do kind of have a soft spot in my 689 00:32:48,000 --> 00:32:50,640 Speaker 3: heart for the biathlon because it's the only Olympic event 690 00:32:50,680 --> 00:32:53,880 Speaker 3: where you have where you're ski and then shoot a gun. 691 00:32:54,720 --> 00:32:55,200 Speaker 5: I love that. 692 00:32:55,640 --> 00:32:57,440 Speaker 1: We're sitting there trying to figure out when does the 693 00:32:57,440 --> 00:33:01,080 Speaker 1: timing begin on the luge because they back and forth 694 00:33:01,200 --> 00:33:03,760 Speaker 1: and then they go. They can't have the timing be 695 00:33:03,840 --> 00:33:05,600 Speaker 1: when they rock back and forth. There's got to be 696 00:33:05,640 --> 00:33:07,160 Speaker 1: some laser that. 697 00:33:07,280 --> 00:33:08,800 Speaker 5: Yeah, I looked into it. 698 00:33:08,840 --> 00:33:12,560 Speaker 3: So it's not when the loisure releases their hands from 699 00:33:12,640 --> 00:33:13,240 Speaker 3: the grips. 700 00:33:13,480 --> 00:33:15,520 Speaker 5: There is this invisible laser. 701 00:33:15,240 --> 00:33:17,480 Speaker 3: That is the starting point and that's what triggers the 702 00:33:17,520 --> 00:33:18,720 Speaker 3: start time on the lip. 703 00:33:18,760 --> 00:33:21,160 Speaker 1: Have you seen the videos of people acting like they're 704 00:33:21,200 --> 00:33:22,760 Speaker 1: doing the curling with their rumba. 705 00:33:23,360 --> 00:33:26,520 Speaker 5: Love it? Look Look yeah, yeah, so the rumba is. 706 00:33:26,480 --> 00:33:28,320 Speaker 2: It every year we're experts on curling. 707 00:33:29,400 --> 00:33:32,040 Speaker 3: The rumba is busy, you know, cleaning their hardwood floors 708 00:33:32,040 --> 00:33:33,600 Speaker 3: and they've got a swiffer out in front of it, 709 00:33:33,680 --> 00:33:35,000 Speaker 3: sweeping like they do in curling. 710 00:33:35,040 --> 00:33:36,440 Speaker 5: Look, I'm a huge curling fan. 711 00:33:36,480 --> 00:33:40,240 Speaker 3: If you missed yesterday's mixed doubles curling with the Americans, 712 00:33:40,240 --> 00:33:43,160 Speaker 3: they ended up winning the match and guaranteeing themselves a 713 00:33:43,160 --> 00:33:47,040 Speaker 3: metal in dramatic fashion. I've always loved curling since I was. 714 00:33:47,040 --> 00:33:48,320 Speaker 2: A dramatic fashion. 715 00:33:48,360 --> 00:33:50,400 Speaker 5: You should have seen it. They were celebrating, people were 716 00:33:50,400 --> 00:33:53,120 Speaker 5: fist pumping. I was excited on the living room couch. 717 00:33:53,320 --> 00:33:57,080 Speaker 3: Look, I've watched curling since I remember my first Winter Olympics, 718 00:33:57,120 --> 00:33:58,680 Speaker 3: and I love it and I watch it every four 719 00:33:58,760 --> 00:34:00,640 Speaker 3: years with the Winter Olympics, it's like one of my favorite. 720 00:34:00,960 --> 00:34:03,000 Speaker 2: When the lyrics are over, you don't care anymore. 721 00:34:03,400 --> 00:34:05,720 Speaker 3: But even beyond that, the way I've been watching it forever, 722 00:34:05,800 --> 00:34:08,680 Speaker 3: I still have no idea how the how the sport works. 723 00:34:08,719 --> 00:34:10,600 Speaker 5: I don't know how the scoring works. I really don't 724 00:34:10,640 --> 00:34:11,040 Speaker 5: know any. 725 00:34:10,920 --> 00:34:15,440 Speaker 3: Of the strategy but that Olympic mixed doubles duo is 726 00:34:15,520 --> 00:34:16,360 Speaker 3: going for the gold. 727 00:34:16,480 --> 00:34:18,399 Speaker 5: Their match happens this afternoon, so. 728 00:34:19,640 --> 00:34:20,280 Speaker 2: You'll be watching. 729 00:34:20,360 --> 00:34:21,080 Speaker 5: I don't know what it. 730 00:34:21,080 --> 00:34:21,319 Speaker 2: It's like. 731 00:34:21,400 --> 00:34:24,720 Speaker 3: It's very relaxing for me to watch those granite blocks 732 00:34:24,800 --> 00:34:27,120 Speaker 3: just kind of glide down the ice and a guy 733 00:34:27,160 --> 00:34:27,560 Speaker 3: with the. 734 00:34:27,480 --> 00:34:29,040 Speaker 5: Broom brushing it in front. 735 00:34:29,160 --> 00:34:31,759 Speaker 3: I have no idea what the broom does, but I'm 736 00:34:31,840 --> 00:34:34,239 Speaker 3: dialed in and can't wait to watch this afternoon. 737 00:34:34,840 --> 00:34:45,319 Speaker 2: You're listening to ninety three WYBC a lot, so two 738 00:34:45,400 --> 00:34:46,239 Speaker 2: of those songs. 739 00:34:45,960 --> 00:34:49,240 Speaker 1: Are often listed as two of the top heavy metal 740 00:34:49,320 --> 00:34:52,400 Speaker 1: songs of the eighties, but you won't be seeing them live. 741 00:34:52,520 --> 00:34:56,600 Speaker 1: Twisted Sister canceling their twenty twenty sixth tour. I know 742 00:34:56,640 --> 00:34:58,120 Speaker 1: you're really upset about this, aren't you. 743 00:34:58,360 --> 00:35:00,040 Speaker 5: Yeah. I didn't even know they were going on to 744 00:35:00,239 --> 00:35:01,240 Speaker 5: but you know, part. 745 00:35:01,120 --> 00:35:03,279 Speaker 2: Of their fiftieth anniversary reunion tour. 746 00:35:03,400 --> 00:35:05,120 Speaker 3: Yeah, and this is due to some medical issues that 747 00:35:05,239 --> 00:35:08,040 Speaker 3: lead singer d Snyder is having. It seems that as 748 00:35:08,120 --> 00:35:12,360 Speaker 3: these rockers from previous generations keep getting older and older, 749 00:35:12,400 --> 00:35:16,080 Speaker 3: their medical issues keep throwing up problems and their tour issues. 750 00:35:16,120 --> 00:35:18,480 Speaker 3: I know the Rolling Stones had an issue recently and 751 00:35:18,719 --> 00:35:21,920 Speaker 3: some other bands have had problems where they've either had 752 00:35:21,920 --> 00:35:24,960 Speaker 3: to scrap the tour or cancel some shows because all 753 00:35:25,000 --> 00:35:27,960 Speaker 3: these guys are getting real old. Hip replacements are starting 754 00:35:28,000 --> 00:35:29,720 Speaker 3: to get in the way of rock and roll. 755 00:35:30,120 --> 00:35:34,279 Speaker 1: They retired from touring back in twenty sixteen, and they 756 00:35:34,280 --> 00:35:37,440 Speaker 1: were going to have this reunion tour and it was 757 00:35:37,440 --> 00:35:40,280 Speaker 1: supposed to be a full set of shows after about 758 00:35:40,280 --> 00:35:42,920 Speaker 1: a decade, but now it's not going to happen. As 759 00:35:42,960 --> 00:35:46,680 Speaker 1: you mentioned, d Snyder resigning from the band over health 760 00:35:46,719 --> 00:35:50,960 Speaker 1: problems arthritis surgeries, recent cardiac concerns. 761 00:35:51,120 --> 00:35:53,839 Speaker 3: If I told you I had two tickets to go 762 00:35:53,880 --> 00:35:56,840 Speaker 3: see Twisted Sister, and let's say let's say the Amphitheater 763 00:35:56,920 --> 00:35:59,680 Speaker 3: and White Weaver State Park, would you go with me 764 00:36:00,280 --> 00:36:01,279 Speaker 3: to see Twisted Sister? 765 00:36:01,320 --> 00:36:03,560 Speaker 5: There's something else in it for me, just the concert. 766 00:36:03,600 --> 00:36:05,760 Speaker 5: That's it. You're buying your own drinks. 767 00:36:06,520 --> 00:36:08,239 Speaker 1: The better play, We're not going to take it, and 768 00:36:08,239 --> 00:36:10,080 Speaker 1: I want to rock as the first two songs so 769 00:36:10,120 --> 00:36:10,680 Speaker 1: we can. 770 00:36:10,880 --> 00:36:11,600 Speaker 2: Bolt out of there. 771 00:36:12,360 --> 00:36:14,239 Speaker 5: Those will be the last two songs as part of 772 00:36:14,280 --> 00:36:16,080 Speaker 5: the encore. Are you going with me or not? 773 00:36:16,280 --> 00:36:17,200 Speaker 2: For showing up late? 774 00:36:17,320 --> 00:36:17,920 Speaker 5: Are you going? 775 00:36:18,400 --> 00:36:21,520 Speaker 2: Maybe? Thanks Jim, Thank you, Kevin thank you for listening. 776 00:36:21,880 --> 00:36:23,680 Speaker 2: It's ninety three w ib C