1 00:00:00,280 --> 00:00:03,920 Speaker 1: It's KFI Am sixty and you're listening to The Conway 2 00:00:03,960 --> 00:00:07,000 Speaker 1: Show on demand on the iHeartRadio app. 3 00:00:10,600 --> 00:00:14,000 Speaker 2: At Mark Thompson sitting for Tim Conway Junior. I have 4 00:00:14,040 --> 00:00:16,520 Speaker 2: a YouTube show that I do. It's all news and 5 00:00:16,520 --> 00:00:19,279 Speaker 2: politics and stuff. It's kind of fun to splash around here, 6 00:00:19,800 --> 00:00:24,040 Speaker 2: you know, a little sometimes lighter tone here at KFI. 7 00:00:25,520 --> 00:00:26,720 Speaker 2: But if you want to check it out, it's called 8 00:00:26,720 --> 00:00:30,320 Speaker 2: The Mark Thompson Show on YouTube. You can subscribe and 9 00:00:30,400 --> 00:00:33,680 Speaker 2: it's free. That's the best part of it. That's free 10 00:00:34,080 --> 00:00:35,800 Speaker 2: and you get what you pay for, by the way. 11 00:00:36,720 --> 00:00:39,879 Speaker 2: So it's on YouTube, also on the iHeartRadio app and 12 00:00:40,479 --> 00:00:44,080 Speaker 2: as an audio podcast on Spotify and stuff too. They 13 00:00:44,400 --> 00:00:46,839 Speaker 2: are making a closure and you may have seen this 14 00:00:47,040 --> 00:00:50,280 Speaker 2: viral video. Did you see the viral video of the 15 00:00:50,280 --> 00:00:54,760 Speaker 2: the guy slamming into the ground this big slab of meat. 16 00:00:55,360 --> 00:00:59,040 Speaker 2: It hit my Instagram and apparently it's led to a 17 00:00:59,080 --> 00:01:02,760 Speaker 2: restaurant closure. Check this out. 18 00:01:03,280 --> 00:01:05,240 Speaker 3: It an eight restaurant. A restaurant in the Bay Area 19 00:01:05,319 --> 00:01:08,240 Speaker 3: remains closed this morning after a worker was seen throwing 20 00:01:08,319 --> 00:01:11,000 Speaker 3: frozen meat onto the ground. It happened last week in 21 00:01:11,040 --> 00:01:14,440 Speaker 3: the city of mill Pizza. Someone on a rooftop saw 22 00:01:14,480 --> 00:01:16,959 Speaker 3: the worker trying to break apart frozen ribs. 23 00:01:17,080 --> 00:01:20,040 Speaker 2: By the way, that's one of the cool aspects of it. 24 00:01:21,120 --> 00:01:23,960 Speaker 2: Somebody saw this from above, so the person who's doing 25 00:01:24,000 --> 00:01:27,679 Speaker 2: this can't tell that they're being videoed. It's being shot 26 00:01:27,760 --> 00:01:30,120 Speaker 2: from someone who's like in an apartment or in a 27 00:01:30,319 --> 00:01:34,120 Speaker 2: balcony above where this is going on. So it's completely 28 00:01:34,800 --> 00:01:37,360 Speaker 2: It's one of those things where you know, again, as 29 00:01:37,360 --> 00:01:38,880 Speaker 2: we say, the worker can't take the pizza. 30 00:01:39,080 --> 00:01:42,160 Speaker 3: Someone on a rooftop saw the worker trying to break 31 00:01:42,160 --> 00:01:47,240 Speaker 3: apart frozen ribs in back of Full Love, a Vietnamese restaurant. 32 00:01:47,640 --> 00:01:51,400 Speaker 3: He slolammed them onto a piece of cardboard. They frequently 33 00:01:51,480 --> 00:01:52,200 Speaker 3: touched the cement. 34 00:01:52,640 --> 00:01:56,480 Speaker 2: He slammed them, slam them, Yeah, he did. 35 00:01:56,680 --> 00:01:58,160 Speaker 4: He salamed them. 36 00:01:58,200 --> 00:02:01,880 Speaker 3: He slammed them onto a piece of cardboard. They frequently 37 00:02:01,960 --> 00:02:06,040 Speaker 3: touched the cement and mop bucket. Employees told health inspectors 38 00:02:06,240 --> 00:02:08,080 Speaker 3: they were trying to thaw the meat outside due to 39 00:02:08,120 --> 00:02:10,360 Speaker 3: the lack of indoor space, and that it was not 40 00:02:10,520 --> 00:02:16,880 Speaker 3: served to customers. Inspectors, customers, that's. 41 00:02:16,800 --> 00:02:21,639 Speaker 2: Kind of I would say, exactly, how does that arithmetic work? 42 00:02:21,960 --> 00:02:23,320 Speaker 2: Isn't the meat for the customers? 43 00:02:23,320 --> 00:02:26,480 Speaker 3: Indoor space and that it was not served to customers, 44 00:02:27,040 --> 00:02:28,880 Speaker 3: inspector custom. 45 00:02:31,840 --> 00:02:32,400 Speaker 5: The staff. 46 00:02:32,560 --> 00:02:37,640 Speaker 3: Right, Well, here's the thing too. They found multiple other violations, 47 00:02:37,720 --> 00:02:44,160 Speaker 3: including a cockroach infestation. The restaurant closed until violations are corrected. 48 00:02:44,440 --> 00:02:46,400 Speaker 2: Yeah, gosh, she just wondered how it gets to that 49 00:02:46,440 --> 00:02:48,960 Speaker 2: point to begin with, they were just making ground beef 50 00:02:49,800 --> 00:02:55,520 Speaker 2: they got. Well, you know, the reality is, I would imagine. 51 00:02:55,680 --> 00:02:58,480 Speaker 2: I mean, I saw the video. He's smashing it against 52 00:02:58,560 --> 00:03:00,560 Speaker 2: cardboard that is on the ground. Now, so apparently it 53 00:03:00,639 --> 00:03:02,480 Speaker 2: touched a mop bucket and stuff. I didn't see that, 54 00:03:02,520 --> 00:03:07,320 Speaker 2: but apparently that's there. The cooking of the meat should, 55 00:03:07,320 --> 00:03:11,880 Speaker 2: if it's cooked properly, kill all those bacteria, right, I mean, 56 00:03:12,680 --> 00:03:17,000 Speaker 2: I'm just saying, I know it's gross, it's not as 57 00:03:17,040 --> 00:03:18,840 Speaker 2: gross as it could be. I mean, it's touching the 58 00:03:18,880 --> 00:03:23,360 Speaker 2: ground on this cardboard. Please don't misunderstand me. I'm not 59 00:03:23,520 --> 00:03:25,520 Speaker 2: justifying it or suggesting that it's a new kind of 60 00:03:25,960 --> 00:03:29,280 Speaker 2: preparation technique. But I'm just saying that it's likely that 61 00:03:29,600 --> 00:03:35,080 Speaker 2: a meat chunk, properly cooked will kill all of that bacteria. 62 00:03:36,400 --> 00:03:38,680 Speaker 2: But it sounds to me like that place has got 63 00:03:38,680 --> 00:03:46,279 Speaker 2: bigger problems than just that. You know, I'm struck by 64 00:03:46,320 --> 00:03:54,640 Speaker 2: this story. The story about women and lung cancer bizarre 65 00:03:55,000 --> 00:03:55,920 Speaker 2: and surprising. 66 00:03:56,400 --> 00:04:00,440 Speaker 6: An active Chicago mother in her mid forties, Danielle Hooyg, 67 00:04:00,880 --> 00:04:04,200 Speaker 6: was stunned. Did you ever think that you were someone 68 00:04:04,240 --> 00:04:05,480 Speaker 6: who could get lung cancer? 69 00:04:06,080 --> 00:04:06,240 Speaker 2: No? 70 00:04:06,600 --> 00:04:06,840 Speaker 1: Never. 71 00:04:07,400 --> 00:04:11,240 Speaker 6: Early last year, this scan showing this white mass proved 72 00:04:11,280 --> 00:04:11,760 Speaker 6: her wrong. 73 00:04:12,120 --> 00:04:14,480 Speaker 7: They thought, well, no way do I have lung cancer 74 00:04:14,480 --> 00:04:15,640 Speaker 7: because I don't smoke. 75 00:04:16,279 --> 00:04:18,720 Speaker 6: Her doctor, delivering a second. 76 00:04:18,360 --> 00:04:22,960 Speaker 7: Blow, he said to me, it does look like cancer. 77 00:04:23,480 --> 00:04:26,919 Speaker 7: And oh, by the way, you're not the first young 78 00:04:27,000 --> 00:04:30,880 Speaker 7: female I've seen today that has lung cancer. 79 00:04:31,520 --> 00:04:33,960 Speaker 6: Doctors we spoke with from around the country say they're 80 00:04:34,040 --> 00:04:37,520 Speaker 6: seeing more young women like Danielle with no history of 81 00:04:37,560 --> 00:04:41,560 Speaker 6: tobacco use diagnosed with lung cancer, and a new study 82 00:04:41,560 --> 00:04:45,360 Speaker 6: from Northwestern Medicine shows sixty five percent of people diagnosed 83 00:04:45,360 --> 00:04:49,000 Speaker 6: with lung cancer today don't qualify for regular screenings that 84 00:04:49,160 --> 00:04:52,520 Speaker 6: could have caught the disease sooner. That's because current screening 85 00:04:52,560 --> 00:04:56,279 Speaker 6: guidelines only cover adults fifty to eighty years old who've 86 00:04:56,320 --> 00:04:59,440 Speaker 6: smoked the equivalent of a pack of day for twenty years. 87 00:04:59,560 --> 00:05:01,960 Speaker 4: That is so screwed up. 88 00:05:03,320 --> 00:05:08,440 Speaker 2: So you're penalized for a cleaner lifestyle and a less 89 00:05:08,520 --> 00:05:13,400 Speaker 2: cancer prone lifestyle, you're penalized by the insurance. 90 00:05:12,960 --> 00:05:14,440 Speaker 5: Company disease Sooner. 91 00:05:14,680 --> 00:05:18,440 Speaker 6: That's because current screening guidelines only cover adults fifty to 92 00:05:18,520 --> 00:05:20,039 Speaker 6: eighty years old who've smoked. 93 00:05:20,080 --> 00:05:21,000 Speaker 4: And let me be clear about that. 94 00:05:21,000 --> 00:05:23,160 Speaker 2: When they say screening guidelines, I mean I guess those 95 00:05:23,200 --> 00:05:26,000 Speaker 2: do come from like the American Medical Association, et cetera. 96 00:05:26,080 --> 00:05:30,440 Speaker 2: That's kind of a consensus among the medical community that 97 00:05:30,440 --> 00:05:35,760 Speaker 2: that younger people who don't have a risk profile shouldn't 98 00:05:35,800 --> 00:05:38,480 Speaker 2: need the screening. But I also think there's an input 99 00:05:38,480 --> 00:05:40,599 Speaker 2: from the insurance company. That's why I mentioned it, because 100 00:05:40,600 --> 00:05:45,360 Speaker 2: I think the the underpinning everything with our healthcare system 101 00:05:45,440 --> 00:05:49,200 Speaker 2: is money. So it's sort of again, you don't get 102 00:05:49,240 --> 00:05:51,920 Speaker 2: scans that you don't need or that aren't prescribed to 103 00:05:51,920 --> 00:05:53,640 Speaker 2: the medical community because you know, you have to pay 104 00:05:53,640 --> 00:05:57,000 Speaker 2: for them, whereas if they are prescribed, oftentimes these scans 105 00:05:57,040 --> 00:06:00,440 Speaker 2: can be covered in some way by insurance anyway. But 106 00:06:00,480 --> 00:06:03,039 Speaker 2: I'm just saying that it's a shame that people who 107 00:06:03,440 --> 00:06:08,400 Speaker 2: are of the lower risk profile are essentially penalized because 108 00:06:08,440 --> 00:06:09,720 Speaker 2: of a lower risk profile. 109 00:06:09,960 --> 00:06:13,720 Speaker 6: That's because current screening guidelines only cover adults fifty to 110 00:06:13,760 --> 00:06:16,839 Speaker 6: eighty years old who've smoked the equivalent of a packa. 111 00:06:16,640 --> 00:06:18,239 Speaker 5: Day for twenty years. 112 00:06:18,760 --> 00:06:23,039 Speaker 6: Among those diagnosed too late, Northwestern researchers say more younger 113 00:06:23,160 --> 00:06:25,640 Speaker 6: non smokers, the majority women. 114 00:06:26,120 --> 00:06:27,400 Speaker 4: They're like, what did I do wrong? 115 00:06:27,839 --> 00:06:31,920 Speaker 1: I've not smoked, I've never had alcohol, I eat healthy, exercise, 116 00:06:32,240 --> 00:06:33,560 Speaker 1: I have stage four lung cancer. 117 00:06:33,960 --> 00:06:37,400 Speaker 6: Chief of Thoracic Surgery doctor and Kit Barot. Do we 118 00:06:37,640 --> 00:06:40,839 Speaker 6: know why lung cancer rates are on the rise among 119 00:06:40,920 --> 00:06:42,520 Speaker 6: younger women who have never smoked. 120 00:06:42,600 --> 00:06:45,520 Speaker 4: Do we know why this is happening? Well, V actually don't. 121 00:06:45,760 --> 00:06:49,599 Speaker 6: Right now, Doctor Barrot says the culprit could be environmental 122 00:06:49,640 --> 00:06:53,240 Speaker 6: factors like air pollution or things more commonly inhaled by 123 00:06:53,240 --> 00:06:57,760 Speaker 6: women like cosmetics, aerosols, gas stoves, or cleaning products. But 124 00:06:57,960 --> 00:07:01,080 Speaker 6: none of that is proven. What is now, lung cancer 125 00:07:01,200 --> 00:07:03,880 Speaker 6: is the leading cause of cancer deaths nationwide. 126 00:07:04,000 --> 00:07:07,479 Speaker 2: You know, we always hear about carcinogens everywhere. You hear 127 00:07:07,520 --> 00:07:10,440 Speaker 2: about being inundated by this stuff. Essentially, we're bathing in 128 00:07:10,440 --> 00:07:14,200 Speaker 2: these carcinogens every day, and exposure to all those things 129 00:07:14,240 --> 00:07:19,240 Speaker 2: mentioned help up that annie. But wow, these statistics are 130 00:07:19,280 --> 00:07:19,960 Speaker 2: really brutal. 131 00:07:20,120 --> 00:07:23,120 Speaker 6: Doctor Barrod is now calling to change the screening guidelines 132 00:07:23,160 --> 00:07:26,920 Speaker 6: to include all adults forty to eighty five. Hoyg, whose 133 00:07:26,920 --> 00:07:30,200 Speaker 6: cancer was caught early by an unrelated scan and treated, 134 00:07:30,640 --> 00:07:32,760 Speaker 6: still wonders why her. 135 00:07:33,320 --> 00:07:37,040 Speaker 7: I could have died and my children would have been 136 00:07:37,080 --> 00:07:39,680 Speaker 7: without their mom. Really, anyone can get it. 137 00:07:40,320 --> 00:07:45,080 Speaker 2: I mean it's scandalous though, that you know an illness 138 00:07:45,080 --> 00:07:47,200 Speaker 2: that you really need to catch early to have any 139 00:07:47,280 --> 00:07:52,200 Speaker 2: chance that the screening guidelines are what they are. They 140 00:07:52,200 --> 00:07:55,880 Speaker 2: don't allow you to screen earlier, So hopefully they do 141 00:07:56,000 --> 00:07:57,840 Speaker 2: change those guidelines. 142 00:07:57,480 --> 00:07:58,440 Speaker 4: When we come back. 143 00:07:59,760 --> 00:08:06,240 Speaker 2: It's a remarkable story of the latest fascination that has 144 00:08:06,360 --> 00:08:12,000 Speaker 2: grown not only in America but worldwide with a new pet. 145 00:08:12,760 --> 00:08:15,440 Speaker 2: We'll get to that next. Mark Thompson Here for Tim 146 00:08:15,480 --> 00:08:16,160 Speaker 2: Conway Junior. 147 00:08:18,520 --> 00:08:22,200 Speaker 8: You're listening to Tim Conway Junior on demand from KFI 148 00:08:22,480 --> 00:08:26,560 Speaker 8: AM six forty. 149 00:08:26,720 --> 00:08:28,960 Speaker 4: Mark Thompson here for Tim Conway Junior. 150 00:08:28,960 --> 00:08:31,520 Speaker 2: As we ramp up to the holidays, Conway is off 151 00:08:31,600 --> 00:08:34,680 Speaker 2: taking some holiday time. I was going to get the 152 00:08:34,720 --> 00:08:38,520 Speaker 2: car washed today and we had all the rain. Now 153 00:08:38,520 --> 00:08:41,520 Speaker 2: things have kind of cleared out the car wash. It 154 00:08:41,559 --> 00:08:43,440 Speaker 2: takes an hour now to get your car because there's 155 00:08:43,440 --> 00:08:47,960 Speaker 2: so few people working there now. It's crazy. These car 156 00:08:48,120 --> 00:08:50,640 Speaker 2: they had to close the car wash for several days 157 00:08:50,679 --> 00:08:55,480 Speaker 2: after the ice raids last month. Absolutely crazy, and I 158 00:08:55,520 --> 00:09:00,680 Speaker 2: was reading about it just today that there are so 159 00:09:00,760 --> 00:09:04,160 Speaker 2: many car wash places that are really stressed, and the 160 00:09:04,200 --> 00:09:07,760 Speaker 2: people working there are not coming to work they're so frightened. 161 00:09:09,360 --> 00:09:12,199 Speaker 2: And even those who are getting their car washed. These 162 00:09:12,200 --> 00:09:15,000 Speaker 2: are not even people who should be frightened. That it's 163 00:09:15,040 --> 00:09:18,880 Speaker 2: to say they're not immigrants, they are not Latino, They're 164 00:09:18,880 --> 00:09:21,760 Speaker 2: not you know, they can't be profiled. They're not going 165 00:09:21,800 --> 00:09:24,760 Speaker 2: into the car wash. They're just frightened by the raids. 166 00:09:24,800 --> 00:09:26,320 Speaker 2: I mean, no one wants to go into a car 167 00:09:26,480 --> 00:09:29,120 Speaker 2: wash where, you know, ice agents come in and you're 168 00:09:29,160 --> 00:09:30,560 Speaker 2: just trying to get your car wash, and now it 169 00:09:30,600 --> 00:09:36,080 Speaker 2: turns into a crime scene. He's reading a piece in 170 00:09:36,120 --> 00:09:39,760 Speaker 2: the La Times. Are just saying from one of the owners, 171 00:09:39,760 --> 00:09:44,360 Speaker 2: who is one of those people who won the green 172 00:09:44,400 --> 00:09:48,400 Speaker 2: card lottery effectively and sunk all of his savings into 173 00:09:48,400 --> 00:09:50,840 Speaker 2: opening this car wash. He says, my target is to 174 00:09:50,840 --> 00:09:54,160 Speaker 2: pay the rent, pay the insurance, and pay the gods. 175 00:09:55,640 --> 00:10:04,200 Speaker 2: It's an immigrant from Mexico, and apparently the concern is 176 00:10:04,720 --> 00:10:10,800 Speaker 2: that these guys are exposed to the street, so you 177 00:10:11,880 --> 00:10:15,640 Speaker 2: have straight vendors. I guess day laborers, you know, the 178 00:10:15,679 --> 00:10:24,120 Speaker 2: home depot guys, farm workers, gardeners. They've all become easy pickens, 179 00:10:24,880 --> 00:10:28,080 Speaker 2: and so you never really feel safe if you're any 180 00:10:28,120 --> 00:10:29,160 Speaker 2: of these people. 181 00:10:30,480 --> 00:10:30,960 Speaker 4: They said, the. 182 00:10:31,000 --> 00:10:33,959 Speaker 2: Last time the ice agents stormed that car Washington, I'm 183 00:10:33,960 --> 00:10:35,440 Speaker 2: talking about the one in my neighborhood, it was like 184 00:10:35,440 --> 00:10:40,239 Speaker 2: a kidnapping, you said, felt like we were in Afghanistan 185 00:10:40,360 --> 00:10:45,040 Speaker 2: or Iraq, not in the middle of Los Angeles. And 186 00:10:45,679 --> 00:10:47,960 Speaker 2: you know, many of these people have been in the 187 00:10:47,960 --> 00:10:50,400 Speaker 2: country for decades. We know this story, but it's really 188 00:10:50,480 --> 00:10:54,720 Speaker 2: affecting life for these people, and life in and around 189 00:10:54,800 --> 00:10:58,079 Speaker 2: southern California and the economy on a broader level. But anyway, 190 00:10:58,120 --> 00:11:00,920 Speaker 2: I just I literally was there to trying to get 191 00:11:00,920 --> 00:11:03,640 Speaker 2: the car in. The thought just it's too long's I 192 00:11:03,679 --> 00:11:08,160 Speaker 2: don't have an hour to sink into this. And bosses 193 00:11:08,200 --> 00:11:11,320 Speaker 2: are saying, I thought, this is interesting that if immigration 194 00:11:11,440 --> 00:11:16,439 Speaker 2: agents come back, that the workers should consider locking themselves 195 00:11:16,559 --> 00:11:21,439 Speaker 2: inside the cars they were cleaning. The manager says, don't run, 196 00:11:21,800 --> 00:11:28,640 Speaker 2: they'll only chase you. So this idea somehow that I 197 00:11:28,640 --> 00:11:31,600 Speaker 2: mean again, getting in and out of the car wash 198 00:11:31,760 --> 00:11:35,439 Speaker 2: may just be an all day affair. If it turns 199 00:11:35,480 --> 00:11:38,320 Speaker 2: into one of those situations. So you've got drama, you 200 00:11:38,400 --> 00:11:42,640 Speaker 2: have disappointment. You even have a lot of these owners 201 00:11:42,679 --> 00:11:44,640 Speaker 2: of car washes saying, hey, it's totally cool if you 202 00:11:44,640 --> 00:11:46,800 Speaker 2: want to go after criminals and stuff, but these people 203 00:11:46,800 --> 00:11:50,560 Speaker 2: aren't criminals. I pay taxes on their stuff. They pay 204 00:11:50,640 --> 00:11:56,319 Speaker 2: taxes on their stuff, and this is absolutely a legitimate situation. 205 00:11:58,240 --> 00:12:03,400 Speaker 2: These are hardworking people. So I don't know it, just 206 00:12:03,559 --> 00:12:06,800 Speaker 2: it's definitely changed life, and as we slide into the holidays, 207 00:12:07,360 --> 00:12:09,880 Speaker 2: just seems like one of those situations that you know 208 00:12:11,800 --> 00:12:15,280 Speaker 2: is at best unresolved. And it used to just be 209 00:12:15,400 --> 00:12:18,400 Speaker 2: criminals that they're arrested, and now they've had quotas that 210 00:12:18,480 --> 00:12:21,000 Speaker 2: have been increased so substantially that they have to make 211 00:12:21,679 --> 00:12:30,880 Speaker 2: additional arrests. The newest pet, this household pet more popular 212 00:12:31,480 --> 00:12:39,840 Speaker 2: in America and maybe worldwide, the growing fascination with raccoons. 213 00:12:41,520 --> 00:12:49,040 Speaker 2: New scientific research is suggesting that raccoons are literally becoming 214 00:12:49,200 --> 00:12:54,320 Speaker 2: physically cuter and that is maybe fueling their rise as 215 00:12:54,480 --> 00:12:59,240 Speaker 2: unconventional household pets. Trash pandas yes, and in fact, trash 216 00:12:59,400 --> 00:13:03,479 Speaker 2: is part of this Trash may be the real kickstarter. 217 00:13:03,640 --> 00:13:06,600 Speaker 2: According to the author of one of the studies out 218 00:13:06,640 --> 00:13:13,240 Speaker 2: of the University of Arkansas. Trash creates easy food opportunities 219 00:13:13,720 --> 00:13:16,760 Speaker 2: that reward animals that are brave enough but not too 220 00:13:16,840 --> 00:13:18,280 Speaker 2: brave to live near people. 221 00:13:18,400 --> 00:13:21,040 Speaker 4: And so because we interact. 222 00:13:21,080 --> 00:13:27,040 Speaker 2: Around these creatures over generations, that balance of boldness and 223 00:13:27,240 --> 00:13:31,440 Speaker 2: caution softens their natural fight or flight response and it 224 00:13:31,559 --> 00:13:37,520 Speaker 2: reshapes their features. I know it seems wild, but this 225 00:13:37,600 --> 00:13:44,320 Speaker 2: is what scientists call domestication syndrome, which includes traits like 226 00:13:44,520 --> 00:13:50,079 Speaker 2: shorter snouts, smaller skulls, changes in coat color, more docile temperaments. 227 00:13:50,880 --> 00:13:54,640 Speaker 2: So urban raccoons appear to be changing in the way 228 00:13:54,679 --> 00:13:58,840 Speaker 2: they look and the way they act. And so, yes, 229 00:13:59,000 --> 00:14:05,200 Speaker 2: the trash pend the backyard bandits increasingly comfortable around people 230 00:14:05,920 --> 00:14:09,040 Speaker 2: as they adapt to city life. And you know, they 231 00:14:09,080 --> 00:14:12,280 Speaker 2: even get internet fame as a result of you know, 232 00:14:12,480 --> 00:14:19,800 Speaker 2: some ring camera thing. So humans are choosing raccoons and 233 00:14:19,960 --> 00:14:24,760 Speaker 2: raccoons are choosing us. It's a holiday love story, and 234 00:14:24,960 --> 00:14:29,560 Speaker 2: raccoons are on the rise as a pet in more 235 00:14:29,600 --> 00:14:34,040 Speaker 2: and more households, and they all lived happily ever after 236 00:14:34,880 --> 00:14:36,040 Speaker 2: Thompson Here for Conway. 237 00:14:38,480 --> 00:14:42,160 Speaker 8: You're listening to Tim Conway Junior on demand from KFI 238 00:14:42,480 --> 00:14:46,320 Speaker 8: Am six forty. 239 00:14:47,320 --> 00:14:50,480 Speaker 2: Mark Thompson's sitting in for Tim Conway Junior Andy Reesemeyer. 240 00:14:51,320 --> 00:14:53,560 Speaker 4: After this show, he's going to stop in and say hi. 241 00:14:53,800 --> 00:14:58,760 Speaker 2: There's a bizarre story of a Jet Blue pilot dying 242 00:15:00,280 --> 00:15:04,280 Speaker 2: after eating a hamburger. And they thought that this guy 243 00:15:04,480 --> 00:15:08,760 Speaker 2: was allergic to red meat and no one was aware 244 00:15:08,760 --> 00:15:11,280 Speaker 2: of it. But it turns out the story is even 245 00:15:11,360 --> 00:15:13,000 Speaker 2: more bizarre than. 246 00:15:12,880 --> 00:15:19,280 Speaker 4: That, And all right and check this out. 247 00:15:19,440 --> 00:15:23,600 Speaker 1: Jet Blue pilot died after eating a hamburger. The autopsy 248 00:15:23,680 --> 00:15:28,400 Speaker 1: called it a sudden, unexplained death. His face baffled his family. 249 00:15:28,600 --> 00:15:30,600 Speaker 1: He seemed to be in perfect health. 250 00:15:30,840 --> 00:15:31,760 Speaker 4: But now, a. 251 00:15:31,720 --> 00:15:35,240 Speaker 1: Full year after the pilot's mysterious death, a team of 252 00:15:35,320 --> 00:15:39,640 Speaker 1: doctors has found the explanation, and their conclusion is scary. 253 00:15:40,120 --> 00:15:42,800 Speaker 1: They believe that a tick bite made the forty seven 254 00:15:42,880 --> 00:15:45,120 Speaker 1: year old pilot allergic to red. 255 00:15:44,920 --> 00:15:46,920 Speaker 4: Meat and nobody knew it. 256 00:15:47,400 --> 00:15:50,960 Speaker 1: The speed of pilot Brian Waitzel's decline is astonished. 257 00:15:51,600 --> 00:15:55,840 Speaker 2: A tick bite that made him allergic to red meat, 258 00:15:56,000 --> 00:16:00,120 Speaker 2: so the two things were linked, but provoked was the 259 00:16:00,160 --> 00:16:02,080 Speaker 2: red meat reaction by the tick bite. 260 00:16:02,040 --> 00:16:05,040 Speaker 1: Made the forty seven year old pilot allergic to red 261 00:16:05,120 --> 00:16:08,920 Speaker 1: meat and nobody knew it. The speed of pilot Brian 262 00:16:08,960 --> 00:16:12,920 Speaker 1: Waitzel's decline is astonishing. He was at a barbecue at 263 00:16:12,960 --> 00:16:15,640 Speaker 1: his daughter's high school when he ate the burger at 264 00:16:15,680 --> 00:16:19,440 Speaker 1: three pm. By seven to twenty pm, he was vomiting 265 00:16:19,480 --> 00:16:23,920 Speaker 1: in his bathroom. By seven thirty seven pm, he was unconscious. 266 00:16:24,120 --> 00:16:27,320 Speaker 1: At ten twenty two pm, he was declared dead at 267 00:16:27,320 --> 00:16:32,040 Speaker 1: a local hospital, leaving behind his wife, Piper, and three children. 268 00:16:32,360 --> 00:16:33,440 Speaker 4: It's now believed. 269 00:16:33,120 --> 00:16:35,760 Speaker 1: Wakesl was bitten when he was jogging at a state 270 00:16:35,840 --> 00:16:39,040 Speaker 1: park near his home in Wall Township, New Jersey. 271 00:16:39,240 --> 00:16:41,320 Speaker 2: By the way, having been bitten by a tick, I 272 00:16:41,320 --> 00:16:43,760 Speaker 2: had lime disease. It was very serious. I'll spare you 273 00:16:43,800 --> 00:16:48,480 Speaker 2: with the story. But you don't always know you're bitten 274 00:16:48,480 --> 00:16:51,040 Speaker 2: by a tick. I mean, tick bites go down all 275 00:16:51,080 --> 00:16:52,840 Speaker 2: the time. Most of the time you don't even you're 276 00:16:52,880 --> 00:16:54,280 Speaker 2: not even aware of it. That's why they have you, 277 00:16:54,280 --> 00:16:56,960 Speaker 2: you know, check yourself. My dad took me to get 278 00:16:57,000 --> 00:16:58,680 Speaker 2: my haircut one time when I was a little kid, 279 00:16:58,840 --> 00:17:01,720 Speaker 2: and the woman who's cutting my hair spound a tick 280 00:17:01,720 --> 00:17:02,160 Speaker 2: in my head. 281 00:17:02,200 --> 00:17:04,640 Speaker 4: It was just the grossest thing in the world. 282 00:17:04,800 --> 00:17:06,640 Speaker 2: Yeah, and they tell you, you know, after you've been out 283 00:17:06,680 --> 00:17:08,359 Speaker 2: for a walk or whatever to check yourself. This is 284 00:17:08,359 --> 00:17:13,000 Speaker 2: particularly in areas that have tick infestations. More common area 285 00:17:13,080 --> 00:17:16,520 Speaker 2: is yeah, yeah, what a area. But this condition that 286 00:17:16,560 --> 00:17:20,679 Speaker 2: they've talked about is a real thing. It's called alphagol 287 00:17:20,800 --> 00:17:26,679 Speaker 2: syndrome AGS, or a tick. Saliva sensitizes a person to 288 00:17:27,000 --> 00:17:32,040 Speaker 2: a sugar called alpha gol, and this causes the body's 289 00:17:32,040 --> 00:17:35,160 Speaker 2: immune system to have this allergic reaction to mammalian meat 290 00:17:35,200 --> 00:17:39,680 Speaker 2: like beef, pork, or lamb, and usually two to six 291 00:17:39,760 --> 00:17:43,879 Speaker 2: hours after consumption, you begin this reaction and symptoms can 292 00:17:44,000 --> 00:17:48,600 Speaker 2: range from the hives and nausea to apparently this, which 293 00:17:48,640 --> 00:17:53,840 Speaker 2: is death. It's insane how quickly this forty seven year 294 00:17:53,880 --> 00:17:55,760 Speaker 2: old pilot succumbed to this. 295 00:17:55,920 --> 00:17:58,679 Speaker 1: According to The New York Times, he returned from the 296 00:17:58,800 --> 00:18:02,679 Speaker 1: jog with a dozen small bites around his ankles. He 297 00:18:02,720 --> 00:18:06,080 Speaker 1: apparently had been bitten by the lone star tick, which 298 00:18:06,119 --> 00:18:07,960 Speaker 1: gave him the red meat allergy. 299 00:18:08,320 --> 00:18:10,240 Speaker 7: It is becoming a growing problem. 300 00:18:10,480 --> 00:18:13,200 Speaker 1: Doctor Aaron mc guinty is an expert on the condition. 301 00:18:13,560 --> 00:18:16,400 Speaker 7: The patient has no awareness that they could be allergic 302 00:18:16,960 --> 00:18:19,840 Speaker 7: until two hours later when they are experiencing symptoms, so 303 00:18:19,840 --> 00:18:21,719 Speaker 7: they feel completely fine when they're eating it. 304 00:18:21,800 --> 00:18:24,639 Speaker 1: The pilot's widow says she is relieved she no longer 305 00:18:24,680 --> 00:18:27,639 Speaker 1: has to tell people we don't know why he died. 306 00:18:28,200 --> 00:18:29,920 Speaker 4: It brings a lot of closure. 307 00:18:30,080 --> 00:18:32,240 Speaker 2: Well maybe I mean it brings a lot of sadness. 308 00:18:32,240 --> 00:18:36,720 Speaker 2: The dude, you know, he bought the farm from a 309 00:18:37,000 --> 00:18:42,119 Speaker 2: tick bite that produced his death within hours. It sounds like, 310 00:18:43,359 --> 00:18:47,439 Speaker 2: and this is really beautiful. Did you know about this 311 00:18:47,520 --> 00:18:49,480 Speaker 2: that these tick on me? Look, I know lime disease 312 00:18:49,480 --> 00:18:52,159 Speaker 2: because I had it. And of course lime disease can 313 00:18:52,280 --> 00:18:55,080 Speaker 2: lead to all kinds of horrors, and there have been 314 00:18:55,119 --> 00:18:57,840 Speaker 2: documentaries on it, and you can see them, and you 315 00:18:57,840 --> 00:18:59,680 Speaker 2: you know, and I'm sure many of you know people 316 00:18:59,720 --> 00:19:02,080 Speaker 2: who have lundy. Maybe you had Landis yourself. That's been 317 00:19:02,119 --> 00:19:08,080 Speaker 2: my exposure to tick bites and some of the physical 318 00:19:10,119 --> 00:19:15,439 Speaker 2: tragedy that can be wrought by tickpipe. But this, you know, 319 00:19:15,960 --> 00:19:19,440 Speaker 2: he was declared dead seven hours after eating the hamburger, 320 00:19:19,480 --> 00:19:23,240 Speaker 2: and the hamburger reaction was brought on by this bite 321 00:19:23,800 --> 00:19:29,680 Speaker 2: that sensitized his body to it. Seven hours jogging at 322 00:19:29,680 --> 00:19:34,560 Speaker 2: a state park in New Jersey. Seven hours later, he's dead. 323 00:19:35,280 --> 00:19:39,280 Speaker 2: A Jet Blue pilot forty seven years old. Wow, that 324 00:19:39,480 --> 00:19:44,359 Speaker 2: is just wild. I got my tick bite at a wedding, 325 00:19:46,160 --> 00:19:48,040 Speaker 2: yet another reason not to go to a wedding. 326 00:19:48,400 --> 00:19:49,480 Speaker 4: Where was it? 327 00:19:49,480 --> 00:19:53,320 Speaker 2: It was in rural Maryland. Yeah, and I'll tell you 328 00:19:53,440 --> 00:19:57,479 Speaker 2: there you go. When I came back to LA, I 329 00:19:57,560 --> 00:20:01,760 Speaker 2: started manifesting all of these symptoms of like the flu, 330 00:20:02,600 --> 00:20:06,719 Speaker 2: like fever, persistent fever, really sore throat but I mean 331 00:20:06,880 --> 00:20:13,440 Speaker 2: super sore throat, had trouble swallowing my own saliva, and 332 00:20:13,560 --> 00:20:17,320 Speaker 2: aches and pains, body aches, and I did have a 333 00:20:17,520 --> 00:20:19,520 Speaker 2: rash all over my body. And when you go back 334 00:20:19,680 --> 00:20:22,480 Speaker 2: at once you know it's lime disease. You go back 335 00:20:22,520 --> 00:20:25,359 Speaker 2: and go, my god, these are all the classic signs 336 00:20:25,359 --> 00:20:29,040 Speaker 2: of lime disease. It's like wheel of fortune with all 337 00:20:29,200 --> 00:20:31,520 Speaker 2: of the letters turned. And the doctors were all going, 338 00:20:31,640 --> 00:20:35,200 Speaker 2: I just can't figure it out, because, to be fair, 339 00:20:35,840 --> 00:20:38,679 Speaker 2: it's less common out here. So I went back to 340 00:20:38,760 --> 00:20:42,720 Speaker 2: rural Maryland, contracted the tick bite and the lime disease there, 341 00:20:43,840 --> 00:20:49,480 Speaker 2: and the doctor asked at one point, actually changed doctors 342 00:20:49,480 --> 00:20:52,959 Speaker 2: because the one doctor seemed to be so flumme. It 343 00:20:53,000 --> 00:20:56,320 Speaker 2: was insistent that it was the flu, and I just 344 00:20:56,400 --> 00:20:57,960 Speaker 2: knew it wasn't. I mean, I just knew it was 345 00:20:57,960 --> 00:21:01,199 Speaker 2: something different. And so that's when I doctors, and the 346 00:21:01,240 --> 00:21:04,400 Speaker 2: second doctor said have you been camping? And I think 347 00:21:04,440 --> 00:21:06,320 Speaker 2: he was thinking lime disease. He said, have you been 348 00:21:06,359 --> 00:21:09,720 Speaker 2: camping or hiking? And the answer with me is always no, 349 00:21:12,000 --> 00:21:14,760 Speaker 2: i'n't been camping or hiking. But the real question is 350 00:21:14,840 --> 00:21:17,919 Speaker 2: have you been in any kind of rural environment or 351 00:21:18,000 --> 00:21:21,679 Speaker 2: wooded environment. That's what you should really ask yourself. And 352 00:21:21,800 --> 00:21:24,879 Speaker 2: the answer to that was yes at this wedding, and 353 00:21:25,359 --> 00:21:27,440 Speaker 2: they just got it in time with me. I had 354 00:21:27,440 --> 00:21:32,400 Speaker 2: it for thirty eight days. It gets very, very dangerous 355 00:21:32,520 --> 00:21:36,119 Speaker 2: after that. And yet if you can catch it early 356 00:21:36,320 --> 00:21:38,840 Speaker 2: lime disease anyway, you can knock it right out with 357 00:21:38,920 --> 00:21:43,680 Speaker 2: a simple antibiotic. But for all who are struggling with lime, 358 00:21:43,720 --> 00:21:47,080 Speaker 2: and who who've contracted lime, you know what I'm talking about. 359 00:21:47,119 --> 00:21:49,800 Speaker 2: But I was unaware that there's an even more dangerous 360 00:21:49,840 --> 00:21:53,240 Speaker 2: illness apparently provoked by a tick bite, a different kind 361 00:21:53,280 --> 00:21:57,679 Speaker 2: of tick crazy. And now this Jet Blue pilot is 362 00:21:57,760 --> 00:22:01,880 Speaker 2: gone because of it. When we come back, we'll talk 363 00:22:01,920 --> 00:22:04,879 Speaker 2: to Andy, who I guess is coming in tonight. You know, 364 00:22:05,480 --> 00:22:07,840 Speaker 2: I love it, always love to hang with Andy for 365 00:22:07,880 --> 00:22:10,600 Speaker 2: a few minutes. We'll do that next. Mark Thompson from 366 00:22:10,640 --> 00:22:11,520 Speaker 2: Tim Conway Jr. 367 00:22:14,480 --> 00:22:18,160 Speaker 8: You're listening to Tim Conway Junior on demand from KFI 368 00:22:18,440 --> 00:22:24,680 Speaker 8: AM six forty. 369 00:22:24,880 --> 00:22:28,840 Speaker 2: Mark Thompson's sitting in for Tim Conway Junr. Just wrapping 370 00:22:28,920 --> 00:22:31,119 Speaker 2: things up. Andy Reis Myers in tonight and you know 371 00:22:31,160 --> 00:22:33,560 Speaker 2: him from Channel five. They've got You're doing everything there 372 00:22:33,560 --> 00:22:34,280 Speaker 2: over Channel five. 373 00:22:34,400 --> 00:22:35,920 Speaker 9: I do a little bit of everything. I'm trying to 374 00:22:35,920 --> 00:22:38,800 Speaker 9: follow in your footsteps, you know, Thank you. I don't dance. 375 00:22:39,119 --> 00:22:41,160 Speaker 9: I don't dance, but I definitely can, like I can 376 00:22:41,240 --> 00:22:41,960 Speaker 9: fake the weather. 377 00:22:42,200 --> 00:22:43,240 Speaker 4: Yeah. 378 00:22:43,280 --> 00:22:45,600 Speaker 9: But the funny thing is that you'll never you'll you'll 379 00:22:45,600 --> 00:22:48,159 Speaker 9: always know what the weather situation in Los Angeles is 380 00:22:48,200 --> 00:22:51,200 Speaker 9: like if I am doing weather, because they don't let 381 00:22:51,200 --> 00:22:51,560 Speaker 9: me do it. 382 00:22:51,600 --> 00:22:53,480 Speaker 2: If it's bad, right, it couldn't be suited too bad 383 00:22:53,520 --> 00:22:54,040 Speaker 2: if you're doing it. 384 00:22:54,119 --> 00:22:55,760 Speaker 9: So it's like this guy, Okay, we're probably gonna have 385 00:22:55,760 --> 00:22:57,200 Speaker 9: a pretty good week if you see me up there. 386 00:22:57,359 --> 00:22:59,439 Speaker 9: So I'm so happy to finally get to meet you. 387 00:22:59,520 --> 00:23:02,600 Speaker 9: I've spoken to you, I interviewed you after Sam passed. 388 00:23:03,000 --> 00:23:06,080 Speaker 4: That was so intense, Man, Rubens passing was so intense. 389 00:23:06,119 --> 00:23:07,080 Speaker 5: We loved him so much. 390 00:23:07,080 --> 00:23:09,159 Speaker 9: And I know you knew him forever, and and and 391 00:23:09,240 --> 00:23:12,760 Speaker 9: One of the things that I love to reflect on 392 00:23:13,040 --> 00:23:16,720 Speaker 9: is that Fox used to be across the street literally 393 00:23:17,440 --> 00:23:20,240 Speaker 9: from KTLA. That's right at Sunset Brons and now I 394 00:23:20,280 --> 00:23:22,320 Speaker 9: think it's a high school right where. 395 00:23:22,119 --> 00:23:23,880 Speaker 2: The Fox used to be. They told you what it is. Yeah, 396 00:23:23,840 --> 00:23:25,800 Speaker 2: it used to be Metromedia, then it was Fox. And 397 00:23:25,840 --> 00:23:28,040 Speaker 2: you're right right next to the Tribune lot next to 398 00:23:28,280 --> 00:23:30,320 Speaker 2: h and now Tribune it sold that. 399 00:23:30,600 --> 00:23:32,760 Speaker 9: Yeah, it's next our now next we and we have 400 00:23:32,880 --> 00:23:34,679 Speaker 9: the same We shared a lot with Netflix and they 401 00:23:34,720 --> 00:23:35,879 Speaker 9: don't want anything to do with us. 402 00:23:37,040 --> 00:23:37,360 Speaker 4: They don't. 403 00:23:37,440 --> 00:23:38,320 Speaker 5: They just don't care about it. 404 00:23:38,400 --> 00:23:40,480 Speaker 4: It's a it's a working lot. There's a lot going 405 00:23:40,520 --> 00:23:40,960 Speaker 4: on there. 406 00:23:41,280 --> 00:23:45,439 Speaker 2: I did a show called Guinness Prime Time came on 407 00:23:45,520 --> 00:23:47,800 Speaker 2: and they set Guinness records on the show. So the 408 00:23:47,880 --> 00:23:51,480 Speaker 2: guy would come on and he like balanced drinking glasses 409 00:23:51,520 --> 00:23:53,520 Speaker 2: on his chin, like like two and a half stories 410 00:23:53,520 --> 00:23:55,359 Speaker 2: where the yeah, of course, okay. So it was that 411 00:23:55,440 --> 00:23:57,359 Speaker 2: kind of thing, really exotic. It was really a cool, 412 00:23:57,400 --> 00:23:59,639 Speaker 2: fun show to host. But I did it on the 413 00:23:59,720 --> 00:24:03,520 Speaker 2: k oh Okay. So I'd go from Fox eleven and 414 00:24:03,520 --> 00:24:05,760 Speaker 2: I just crossed the street over to k TLA right 415 00:24:05,800 --> 00:24:07,200 Speaker 2: and we'd shoot, you know, all day and end of 416 00:24:07,240 --> 00:24:10,080 Speaker 2: the night. But the fun part of it was that 417 00:24:10,440 --> 00:24:14,160 Speaker 2: the dressing room they gave me to kind of hang 418 00:24:14,280 --> 00:24:18,239 Speaker 2: out in or whatever was Judge Judies, Yes, because they 419 00:24:18,280 --> 00:24:20,040 Speaker 2: shoot Judge that's right, Yes. 420 00:24:19,920 --> 00:24:21,679 Speaker 5: That's right all of the daytime. 421 00:24:23,359 --> 00:24:27,080 Speaker 9: I wouldn't say filler, but the syndicated strip shows, you 422 00:24:27,080 --> 00:24:29,639 Speaker 9: know where which the judge shows they had Let's Make 423 00:24:29,640 --> 00:24:31,639 Speaker 9: a Deal used to be there. Oh wow, they had 424 00:24:31,680 --> 00:24:33,119 Speaker 9: a lot of really creat and you know, you'd be 425 00:24:33,160 --> 00:24:35,240 Speaker 9: going into work in the morning and then you'd see 426 00:24:35,240 --> 00:24:37,000 Speaker 9: all the crazy people who were in the audience for 427 00:24:37,119 --> 00:24:39,400 Speaker 9: Let's Make a Deal. Sure, you know, shivering in their 428 00:24:39,480 --> 00:24:42,080 Speaker 9: in their little spandex tight situation with the two two 429 00:24:42,080 --> 00:24:43,959 Speaker 9: and stuff like that because they were you know, they 430 00:24:43,960 --> 00:24:45,240 Speaker 9: had to dress up like crazy. 431 00:24:45,000 --> 00:24:46,320 Speaker 4: Get on the show. So that's right funny. 432 00:24:46,320 --> 00:24:47,960 Speaker 9: And then you'd have you know, a reporter coming in 433 00:24:48,200 --> 00:24:51,560 Speaker 9: after a triple homicide or whatever and driving past all 434 00:24:51,600 --> 00:24:53,479 Speaker 9: these people and just like, well, that's another day in la. 435 00:24:53,680 --> 00:24:55,280 Speaker 4: I mean, that is the yin and yang of all 436 00:24:55,280 --> 00:24:56,399 Speaker 4: of these lots. You know. 437 00:24:56,720 --> 00:24:59,320 Speaker 2: I remember when I would go over to the Sony lot, 438 00:24:59,480 --> 00:25:03,320 Speaker 2: like I've two days on Air Force one, that movie 439 00:25:03,320 --> 00:25:07,080 Speaker 2: with Harrison you were in that yeah, I've got a story. 440 00:25:07,080 --> 00:25:09,080 Speaker 2: I'll tell you that another time. Just awful what happened 441 00:25:09,119 --> 00:25:13,280 Speaker 2: with the airport? If you watch air Force one, uh huh, 442 00:25:13,359 --> 00:25:15,800 Speaker 2: I watch it every year. There's a scene in the 443 00:25:16,160 --> 00:25:19,800 Speaker 2: it's the Thanksgiving feel good movie. If you watch air 444 00:25:19,840 --> 00:25:24,520 Speaker 2: Force one, there is a scene in multiple scenes, I think, 445 00:25:24,560 --> 00:25:27,199 Speaker 2: but at least one in the gaggle that is the 446 00:25:27,240 --> 00:25:30,000 Speaker 2: press room at the White House right now. The president 447 00:25:30,080 --> 00:25:32,680 Speaker 2: of course has been you know, taken on Air Force one, 448 00:25:33,040 --> 00:25:36,520 Speaker 2: and the vice president is there, Glenn Close, I think. 449 00:25:37,600 --> 00:25:40,960 Speaker 2: And so we're all there and we have speaking lines 450 00:25:41,000 --> 00:25:44,120 Speaker 2: the people who are isoed in that, so we we 451 00:25:44,160 --> 00:25:47,120 Speaker 2: shoot the the way it worked. 452 00:25:47,119 --> 00:25:48,320 Speaker 4: This story is already too long. 453 00:25:48,320 --> 00:25:50,639 Speaker 5: No my ripped. I am just on the edge of 454 00:25:50,640 --> 00:25:51,399 Speaker 5: my make. 455 00:25:51,280 --> 00:25:52,359 Speaker 4: A long story longer. 456 00:25:52,920 --> 00:25:53,040 Speaker 1: Uh. 457 00:25:53,160 --> 00:25:54,679 Speaker 2: And the one thing about air Force one is it 458 00:25:54,720 --> 00:25:57,720 Speaker 2: was shot by in the director's Wolfgang Peterson. He's a 459 00:25:57,840 --> 00:26:00,680 Speaker 2: very famous German director who did dash Boot, et cetera. 460 00:26:00,840 --> 00:26:02,920 Speaker 2: So it's kind of like prestigious to be there, right, 461 00:26:03,119 --> 00:26:07,240 Speaker 2: So uh, there are three of us was speaking lines, 462 00:26:07,840 --> 00:26:10,000 Speaker 2: and again if you watch the movie, you're gonna be 463 00:26:10,040 --> 00:26:13,560 Speaker 2: able to see what I'm talking about. And we all 464 00:26:13,880 --> 00:26:17,800 Speaker 2: kind of just I think I had the line, which 465 00:26:18,000 --> 00:26:21,800 Speaker 2: was is James Marshall still president? That's the that's the 466 00:26:21,880 --> 00:26:28,280 Speaker 2: money line scene. And at lunch I meet the producer's 467 00:26:28,400 --> 00:26:31,840 Speaker 2: mom and she's this very nice lady, and I had 468 00:26:31,880 --> 00:26:33,480 Speaker 2: no sense when I'm about to tell you, I would 469 00:26:33,520 --> 00:26:36,399 Speaker 2: never do this today. But back then I kind of 470 00:26:36,400 --> 00:26:38,000 Speaker 2: felt like, I don't know, well care. 471 00:26:38,119 --> 00:26:40,440 Speaker 5: Were you already on TV doing weather? 472 00:26:40,520 --> 00:26:43,000 Speaker 2: Oh yeah, I was, we already you already, So I 473 00:26:43,040 --> 00:26:48,440 Speaker 2: auditioned for this, god yeah. So what happened was they 474 00:26:48,560 --> 00:26:50,560 Speaker 2: bring in and I'll get back to the mom in 475 00:26:50,600 --> 00:26:53,520 Speaker 2: a second. They bring into the room. It was just 476 00:26:53,560 --> 00:26:55,560 Speaker 2: the three of us. They line up the shot. Then 477 00:26:55,600 --> 00:26:58,920 Speaker 2: they bring into the room like one hundred people roughly, 478 00:26:58,960 --> 00:27:01,720 Speaker 2: maybe even more than one hundred extras. They're all the 479 00:27:01,760 --> 00:27:03,720 Speaker 2: rest of the press corps, and they have people who 480 00:27:03,720 --> 00:27:06,520 Speaker 2: are playing like photographers. They have cameras and all these 481 00:27:06,520 --> 00:27:09,800 Speaker 2: things are going off. And so when we actually rehearsed 482 00:27:09,840 --> 00:27:14,560 Speaker 2: the scene, you this lady who is the producer's mom, 483 00:27:14,640 --> 00:27:17,200 Speaker 2: You couldn't you couldn't hear her because she couldn't really 484 00:27:17,760 --> 00:27:19,440 Speaker 2: shout and over everybody's shit. 485 00:27:19,560 --> 00:27:20,920 Speaker 5: Oh yeah yeah. 486 00:27:20,960 --> 00:27:25,560 Speaker 2: So at lunch, I said, you know, say take this line, 487 00:27:25,560 --> 00:27:26,679 Speaker 2: and I'll take your line. 488 00:27:27,160 --> 00:27:28,480 Speaker 4: I thought we'd both be in the movie. 489 00:27:28,480 --> 00:27:33,560 Speaker 2: I didn't think, dude, you're you're like so she because 490 00:27:33,640 --> 00:27:36,280 Speaker 2: I can shout, I said, oh, everybody you, I think 491 00:27:36,320 --> 00:27:37,520 Speaker 2: it's a little harder anyway. 492 00:27:37,560 --> 00:27:38,440 Speaker 4: Blah blah blah. We talk. 493 00:27:38,440 --> 00:27:39,800 Speaker 2: It was not a big I said, so we take 494 00:27:39,800 --> 00:27:41,240 Speaker 2: that line, I'll take this line. It doesn't matter, and 495 00:27:41,280 --> 00:27:43,400 Speaker 2: they kind of. It didn't matter to them them either, 496 00:27:43,400 --> 00:27:43,920 Speaker 2: I could tell. 497 00:27:43,920 --> 00:27:44,679 Speaker 5: Which is a surprise. 498 00:27:44,720 --> 00:27:47,000 Speaker 9: It didn't matter to the director, especially a German director 499 00:27:47,000 --> 00:27:48,679 Speaker 9: who you would assume would be Yeah, the guy who 500 00:27:48,720 --> 00:27:49,800 Speaker 9: did dos Boot is not just. 501 00:27:49,800 --> 00:27:52,679 Speaker 5: Letting the day players, but which the script. 502 00:27:52,800 --> 00:27:55,840 Speaker 2: I mean, I was reporter number two, and it's not 503 00:27:55,840 --> 00:27:58,080 Speaker 2: like he was wedded to as soon as those lines 504 00:27:58,080 --> 00:28:03,280 Speaker 2: got in, So then something happened, and I think she 505 00:28:04,680 --> 00:28:07,200 Speaker 2: gave the line to this. 506 00:28:08,600 --> 00:28:11,000 Speaker 4: Young girl who was younger girl. 507 00:28:10,720 --> 00:28:13,320 Speaker 2: A twenty three year old, twenty four year old in 508 00:28:13,400 --> 00:28:16,080 Speaker 2: the front row or second row. We're all kind of 509 00:28:16,160 --> 00:28:19,879 Speaker 2: toward the front, and that girl got the line. Huhuse, 510 00:28:19,880 --> 00:28:21,359 Speaker 2: I'm thinking when I saw the movie, I thought, wait 511 00:28:21,359 --> 00:28:22,000 Speaker 2: a minute, that's not. 512 00:28:22,720 --> 00:28:24,879 Speaker 9: That's not the lady. Yeah, yeah, yeah, I didn't remember 513 00:28:24,920 --> 00:28:28,160 Speaker 9: you being that young. Twenty something woman. No, who says 514 00:28:28,359 --> 00:28:30,120 Speaker 9: who says? Are still president? 515 00:28:30,400 --> 00:28:32,000 Speaker 2: And but what you will see, and this is how 516 00:28:32,040 --> 00:28:33,560 Speaker 2: I say, if you watch Air Force one, you'll be 517 00:28:33,560 --> 00:28:36,000 Speaker 2: able to notice what I'm talking about. You'll see a 518 00:28:36,240 --> 00:28:38,480 Speaker 2: cutaway of me. You'll see it close up of me. 519 00:28:39,000 --> 00:28:41,680 Speaker 2: I'm supposed to have an you, you have a moment 520 00:28:41,720 --> 00:28:43,600 Speaker 2: that is anticipated, suposed of a line. 521 00:28:43,600 --> 00:28:44,360 Speaker 4: But I gave it. 522 00:28:44,440 --> 00:28:45,440 Speaker 5: He gave it away. 523 00:28:45,760 --> 00:28:49,320 Speaker 4: Some thing like what I just described happened Mark Thompson. 524 00:28:49,400 --> 00:28:51,520 Speaker 9: That could have been your break. Yeah, that was your 525 00:28:51,560 --> 00:28:55,000 Speaker 9: pathway to oscars. And I mean, hey, listen, did the 526 00:28:55,080 --> 00:28:55,600 Speaker 9: check clear? 527 00:28:55,920 --> 00:28:57,920 Speaker 2: I know that right, it was two days. But what 528 00:28:58,040 --> 00:29:00,960 Speaker 2: got me onto this is the lot thing. Yeah, because 529 00:29:00,960 --> 00:29:03,800 Speaker 2: while that I was there for Air Force one, you 530 00:29:03,840 --> 00:29:06,080 Speaker 2: know what else was And they're everywhere. 531 00:29:06,120 --> 00:29:08,480 Speaker 4: They were walking everywhere at Starship. 532 00:29:08,000 --> 00:29:10,840 Speaker 2: Troopers, oh yeah, and so they're all dressed up like man, 533 00:29:10,920 --> 00:29:13,080 Speaker 2: it's like it was the coolest boy the. 534 00:29:13,040 --> 00:29:16,080 Speaker 5: Old days because they just there's nothing shooting anymore. 535 00:29:16,200 --> 00:29:16,440 Speaker 4: Yeah. 536 00:29:16,480 --> 00:29:20,480 Speaker 9: At Netflix, there's a lot of people having meetings, very important, Katla. 537 00:29:20,520 --> 00:29:23,720 Speaker 9: Obviously we're still doing our news thing, but those shows, 538 00:29:23,800 --> 00:29:26,680 Speaker 9: I mean, Netflix basically runs the whole lot, so all 539 00:29:26,680 --> 00:29:29,080 Speaker 9: the talk shows, all the daytime shows are gone. 540 00:29:29,240 --> 00:29:29,640 Speaker 4: Wow. 541 00:29:29,800 --> 00:29:33,280 Speaker 9: And it's a weird feeling because when I interned there 542 00:29:33,560 --> 00:29:36,920 Speaker 9: fifteen ish years ago, it was a working studio, sure, 543 00:29:36,920 --> 00:29:38,280 Speaker 9: and it was exciting, and I remember being like a 544 00:29:38,360 --> 00:29:42,000 Speaker 9: kid from Indiana thinking, oh, right for Hollywood, right, And 545 00:29:42,120 --> 00:29:44,640 Speaker 9: you know, now it's just like, man, now everybody has 546 00:29:44,760 --> 00:29:45,280 Speaker 9: those meetings. 547 00:29:45,280 --> 00:29:46,880 Speaker 2: They have the meetings at Netflix and then they go 548 00:29:46,920 --> 00:29:49,600 Speaker 2: shooting at Lata or they shoot in Budapest. 549 00:29:49,120 --> 00:29:50,200 Speaker 4: Right or Vancouver. 550 00:29:50,440 --> 00:29:51,440 Speaker 5: Yeah, yeah, yeah. 551 00:29:51,480 --> 00:29:52,000 Speaker 4: It sucks. 552 00:29:52,120 --> 00:29:54,720 Speaker 2: And it's one of the things that the town is 553 00:29:54,760 --> 00:29:56,560 Speaker 2: dealing with right now because it has an effect of 554 00:29:56,640 --> 00:29:58,680 Speaker 2: ripple effect across the entire community. 555 00:29:58,800 --> 00:30:01,480 Speaker 9: I hear you, and uh, you know, at least we 556 00:30:01,520 --> 00:30:04,800 Speaker 9: have this little AM radio station to hang out, you know, 557 00:30:05,480 --> 00:30:08,400 Speaker 9: at the very least we've got this cool vintage analog 558 00:30:08,520 --> 00:30:09,480 Speaker 9: thing that we're doing. 559 00:30:09,680 --> 00:30:12,160 Speaker 2: So it's a it's it's a throwback, it's a it's 560 00:30:12,240 --> 00:30:13,240 Speaker 2: legacy media. 561 00:30:13,400 --> 00:30:15,040 Speaker 4: Are you here tomorrow as well? 562 00:30:15,160 --> 00:30:15,760 Speaker 5: I don't think so. 563 00:30:16,280 --> 00:30:17,200 Speaker 4: This is just a one off. 564 00:30:17,240 --> 00:30:19,520 Speaker 9: So I do Mondays and Fridays at least for I've 565 00:30:19,560 --> 00:30:21,360 Speaker 9: been doing it for the past month and I'll probably 566 00:30:21,360 --> 00:30:22,880 Speaker 9: do it for at least the end of the year. 567 00:30:23,160 --> 00:30:24,680 Speaker 9: Mondays and Fridays, and then I do I do a 568 00:30:24,680 --> 00:30:26,440 Speaker 9: show on Sunday from two to four here. 569 00:30:27,080 --> 00:30:27,160 Speaker 2: Uh. 570 00:30:27,320 --> 00:30:29,040 Speaker 9: And it's fun. It's amazing, you know. And I know 571 00:30:29,080 --> 00:30:31,800 Speaker 9: that as a radio guy who's also done TV. It's 572 00:30:31,840 --> 00:30:35,880 Speaker 9: a really different muscle, yeah than the TV thing. It's fun. 573 00:30:36,440 --> 00:30:38,920 Speaker 9: I love it, but it's it was. The learning curve 574 00:30:39,000 --> 00:30:40,200 Speaker 9: is a lot steeper. 575 00:30:39,840 --> 00:30:40,160 Speaker 4: I think. 576 00:30:40,280 --> 00:30:43,360 Speaker 2: And you live or die by your own that's exactly right. 577 00:30:43,640 --> 00:30:46,880 Speaker 2: You did an interview. I know we're late, just to mention. 578 00:30:46,760 --> 00:30:48,520 Speaker 5: This, I will see my time. If you're going to 579 00:30:48,640 --> 00:30:49,560 Speaker 5: compliment on a year. 580 00:30:49,520 --> 00:30:51,560 Speaker 4: Yeah, I wasn't because it was really good. Who was 581 00:30:51,600 --> 00:30:55,320 Speaker 4: it with. Did you talk to John Tesh? Maybe I did? 582 00:30:55,600 --> 00:30:57,320 Speaker 4: It was great, Thank you, It was great. 583 00:30:57,360 --> 00:30:59,640 Speaker 5: I had him on, We had him on the show here. 584 00:30:59,640 --> 00:31:01,280 Speaker 4: And it was absolutely terrific. 585 00:31:01,360 --> 00:31:01,880 Speaker 5: Thank you so much. 586 00:31:01,880 --> 00:31:04,360 Speaker 9: He was wonderful, so gracious to give us so much time. 587 00:31:04,560 --> 00:31:08,480 Speaker 9: I know Mark Ronner, who's there, was hugely excited that 588 00:31:08,680 --> 00:31:11,440 Speaker 9: Tesh called it John Tesh for God, said that's right. 589 00:31:11,480 --> 00:31:14,200 Speaker 2: But the other thing is I was impressed with how 590 00:31:14,320 --> 00:31:15,520 Speaker 2: really honest he was. 591 00:31:15,720 --> 00:31:15,960 Speaker 4: Yeah. 592 00:31:16,080 --> 00:31:18,280 Speaker 2: Really, I mean not that he revealed anything like it 593 00:31:18,360 --> 00:31:19,719 Speaker 2: was so disparaging or awful. 594 00:31:19,720 --> 00:31:21,160 Speaker 4: But I'm just saying it. 595 00:31:21,320 --> 00:31:23,719 Speaker 2: Just the conversation felt like, you know, he wasn't, you know, 596 00:31:23,760 --> 00:31:27,400 Speaker 2: playing like he was very unvarnished about totally. 597 00:31:27,480 --> 00:31:29,640 Speaker 9: Yeah, And I think honestly his you know, he's an 598 00:31:29,640 --> 00:31:33,200 Speaker 9: old school guy. Yeah, but I think that there's something 599 00:31:33,200 --> 00:31:35,440 Speaker 9: about him. He's always the showman, I think is what 600 00:31:35,480 --> 00:31:35,680 Speaker 9: it is. 601 00:31:35,720 --> 00:31:38,240 Speaker 4: And he mentioned that you play music too. Yeah. Oh yeah, 602 00:31:38,240 --> 00:31:38,680 Speaker 4: oh that's great. 603 00:31:38,720 --> 00:31:39,960 Speaker 5: Yeah, it was fun. We could connect on that. 604 00:31:39,960 --> 00:31:40,320 Speaker 4: A little bit. 605 00:31:40,360 --> 00:31:42,200 Speaker 2: Yeah, that's that was cool that he referenced. All right, 606 00:31:42,320 --> 00:31:44,520 Speaker 2: he's come out of town. Otherwise I would have even 607 00:31:44,520 --> 00:31:45,200 Speaker 2: more complimentary. 608 00:31:45,280 --> 00:31:46,840 Speaker 5: You can stay if you want. I'm sure you don't 609 00:31:46,840 --> 00:31:47,120 Speaker 5: want to. 610 00:31:47,600 --> 00:31:50,480 Speaker 4: I mean, don't know, Mark, I want to. I've got 611 00:31:50,480 --> 00:31:51,440 Speaker 4: a thing. I gotta go. 612 00:31:51,640 --> 00:31:54,800 Speaker 2: You got a thing, all right? Good luck, kids, will 613 00:31:55,040 --> 00:31:55,800 Speaker 2: see you tomorrow. 614 00:31:55,800 --> 00:32:01,760 Speaker 1: Mark Thompson Here Conway Show on demand on the iHeartRadio app. 615 00:32:01,920 --> 00:32:04,720 Speaker 6: Now you can always hear us live on KFI Am 616 00:32:04,760 --> 00:32:07,880 Speaker 6: six forty four to seven pm Monday through Friday, and 617 00:32:08,520 --> 00:32:11,959 Speaker 6: anytime on demand on the iHeartRadio app