1 00:00:00,280 --> 00:00:03,320 Speaker 1: It's camp I am sixty and you're listening to the 2 00:00:03,400 --> 00:00:06,920 Speaker 1: Conway Show on demand on the iHeartRadio app. 3 00:00:07,160 --> 00:00:08,640 Speaker 2: When you're on that app, go ahead and hit that 4 00:00:08,680 --> 00:00:10,680 Speaker 2: talkback button and let us know what is the grossest 5 00:00:10,680 --> 00:00:13,880 Speaker 2: thing that you have ever eaten? I think that guy 6 00:00:13,880 --> 00:00:16,080 Speaker 2: that called in the last segment, Mark that had the 7 00:00:16,480 --> 00:00:18,560 Speaker 2: that ate the raw snake in the jungle of Panama. 8 00:00:18,600 --> 00:00:21,640 Speaker 2: He said he was doing a ranger training there. That's 9 00:00:21,640 --> 00:00:24,239 Speaker 2: got to be like the most badass thing we've heard tonight, Right, 10 00:00:24,480 --> 00:00:28,120 Speaker 2: it does sound pretty alpha. Yeah, I was doing Army 11 00:00:28,200 --> 00:00:30,760 Speaker 2: ranger training. I was in the jungle of Panama and 12 00:00:30,800 --> 00:00:32,680 Speaker 2: I had to eat the berries or a snake. 13 00:00:32,920 --> 00:00:34,720 Speaker 3: At least it's at least you're eating the snake. 14 00:00:34,800 --> 00:00:37,839 Speaker 2: You know it's not poisonous, right, the berries, you're you're 15 00:00:37,880 --> 00:00:40,000 Speaker 2: kind of taking a risk if you're in the jungle, right. 16 00:00:39,880 --> 00:00:41,720 Speaker 3: You're rolling the dice when you eat berries if you 17 00:00:41,760 --> 00:00:42,479 Speaker 3: don't know what they are. 18 00:00:42,640 --> 00:00:44,480 Speaker 2: Yeah, And I mean if you're eating a raw snake, 19 00:00:44,560 --> 00:00:46,680 Speaker 2: it's it's you know, basically land sushi. 20 00:00:46,760 --> 00:00:51,920 Speaker 3: So that's that's I'm just imagining him doing it. I 21 00:00:51,960 --> 00:00:53,640 Speaker 3: would want to snake cooked, but I guess I'm just 22 00:00:53,720 --> 00:00:54,640 Speaker 3: kind of soft and would do. 23 00:00:54,720 --> 00:00:56,280 Speaker 2: He said it was raining, he couldn't cook, he didn't 24 00:00:56,280 --> 00:00:58,080 Speaker 2: have a fire, he couldn't cook it, so he I 25 00:00:58,080 --> 00:00:59,920 Speaker 2: guess he just kind of ripped the skin off and 26 00:01:00,080 --> 00:01:02,200 Speaker 2: eat it like he was so bad. 27 00:01:02,360 --> 00:01:04,000 Speaker 4: He gets hungry enough, You do what you gotta do. 28 00:01:04,080 --> 00:01:05,840 Speaker 4: What's the grossest thing that we've had so far? 29 00:01:06,200 --> 00:01:08,119 Speaker 2: We had one guy that said he he was cleaning 30 00:01:08,160 --> 00:01:10,600 Speaker 2: out chicken coops and he got chicken litter in his 31 00:01:10,640 --> 00:01:12,959 Speaker 2: mouth and he swallowed some of that. 32 00:01:12,959 --> 00:01:13,840 Speaker 3: That's pretty gross. 33 00:01:14,760 --> 00:01:16,959 Speaker 4: Yeah, that's that's right up there. You sent me one 34 00:01:17,000 --> 00:01:20,759 Speaker 4: that I don't really feel comfortable. Uh No, scatological humor 35 00:01:20,760 --> 00:01:23,520 Speaker 4: as banned today. I wouldn't even have said that much. No, 36 00:01:24,440 --> 00:01:26,000 Speaker 4: so that one's often off the table. 37 00:01:27,000 --> 00:01:29,040 Speaker 5: I was in the Air Force in Thailand and the 38 00:01:29,120 --> 00:01:32,080 Speaker 5: Vietnam War, and I was told the food I was 39 00:01:32,200 --> 00:01:34,120 Speaker 5: eating was monkey ball soup. 40 00:01:35,040 --> 00:01:37,040 Speaker 3: Ooh, would you do the monkey ball soup? Mark? 41 00:01:37,120 --> 00:01:39,440 Speaker 2: Why do you keep wanting me to eat ball? It's 42 00:01:39,480 --> 00:01:41,720 Speaker 2: not me, it's uh people calling. 43 00:01:43,600 --> 00:01:46,120 Speaker 5: I've also been told that I was eating dog on 44 00:01:46,160 --> 00:01:50,000 Speaker 5: his stick. Yeah, you know, alcohol was involved, so I 45 00:01:50,000 --> 00:01:51,520 Speaker 5: didn't care and I loved it. 46 00:01:53,880 --> 00:01:57,320 Speaker 3: Could have done without that, Oh, Snoopy. No, I could see. 47 00:01:59,600 --> 00:02:02,720 Speaker 2: I could see that happening when you're when you're in Vietnam, 48 00:02:02,760 --> 00:02:06,680 Speaker 2: where you know, somebody just gives you dog on a stick, 49 00:02:06,840 --> 00:02:10,160 Speaker 2: like where it's more culturally acceptable. 50 00:02:10,240 --> 00:02:10,400 Speaker 4: Right. 51 00:02:10,960 --> 00:02:15,000 Speaker 3: Yeah, I could see that. That's that's plausible that somebody 52 00:02:15,000 --> 00:02:16,880 Speaker 3: would do that to him. I could see that. 53 00:02:16,880 --> 00:02:18,519 Speaker 2: I don't know about the monkey ball soup though, that 54 00:02:18,800 --> 00:02:20,160 Speaker 2: feels like somebody was pulling his chain. 55 00:02:21,080 --> 00:02:25,560 Speaker 4: If you watch those old Mondo films like is it 56 00:02:25,600 --> 00:02:29,399 Speaker 4: Faces of Death or Mondo Kane, things like that, you'll 57 00:02:29,400 --> 00:02:32,200 Speaker 4: see like people eating monkey brains, which I wouldn't do 58 00:02:32,240 --> 00:02:32,640 Speaker 4: that either. 59 00:02:32,880 --> 00:02:36,320 Speaker 3: That was staged. Some of this stuff was. Yeah, yeah, no, 60 00:02:36,400 --> 00:02:39,560 Speaker 3: that the Faces of Death was. That was stage. 61 00:02:40,240 --> 00:02:42,520 Speaker 2: They had to In fact, I think those guys had 62 00:02:42,639 --> 00:02:46,280 Speaker 2: They got called to court for that too, for h 63 00:02:46,680 --> 00:02:48,079 Speaker 2: for the Faces of Death, and they had to prove 64 00:02:48,120 --> 00:02:51,000 Speaker 2: that they weren't but they hadn't. 65 00:02:50,680 --> 00:02:52,040 Speaker 3: Like tortured and killed that monkey. 66 00:02:52,240 --> 00:02:55,720 Speaker 4: You're thinking of the guy who made Cannibal Holocaust, but 67 00:02:55,800 --> 00:02:57,040 Speaker 4: his name is Riguero Diadada. 68 00:02:57,160 --> 00:02:58,840 Speaker 2: Oh maybe it's these guys were just catching a lot 69 00:02:58,880 --> 00:03:01,280 Speaker 2: of backlash or something and then finally revealed that they 70 00:03:01,280 --> 00:03:01,880 Speaker 2: had not done it. 71 00:03:01,880 --> 00:03:02,280 Speaker 3: Whatever it was. 72 00:03:02,320 --> 00:03:05,280 Speaker 2: I saw a documentary on that years ago that was like, no, no, no, 73 00:03:05,480 --> 00:03:06,200 Speaker 2: here's what we did. 74 00:03:06,480 --> 00:03:08,680 Speaker 4: So kind of behind the scenes of Faces of Death. 75 00:03:09,400 --> 00:03:11,560 Speaker 4: I mean, you still don't want to show it to preschoolers. 76 00:03:11,600 --> 00:03:15,000 Speaker 4: It's whether it's fake or not, it's still pretty harsh. Yeah, 77 00:03:15,919 --> 00:03:17,520 Speaker 4: that was our game when I was in college, that 78 00:03:17,560 --> 00:03:19,239 Speaker 4: we would we would rent one of those Faces of 79 00:03:19,320 --> 00:03:23,880 Speaker 4: Death VHS tapes at the time, and and then we 80 00:03:23,919 --> 00:03:26,919 Speaker 4: would go, you know, get some Jimmy John's or Papa 81 00:03:27,000 --> 00:03:29,600 Speaker 4: John's or anybody you know, Long John Silver or anybody 82 00:03:29,680 --> 00:03:33,600 Speaker 4: named John, and then we we would just eat and 83 00:03:33,639 --> 00:03:36,920 Speaker 4: then we kind of taunt each other see who would 84 00:03:36,920 --> 00:03:38,840 Speaker 4: stop eating first. No, none of us were threw up 85 00:03:38,880 --> 00:03:40,600 Speaker 4: or anything, but it was just like who would lose 86 00:03:40,600 --> 00:03:41,480 Speaker 4: their appetite first? 87 00:03:41,560 --> 00:03:44,360 Speaker 3: Little Faces of Death and some Rocky Mountain Oysters. Yeah, 88 00:03:44,520 --> 00:03:44,920 Speaker 3: we were in. 89 00:03:45,480 --> 00:03:47,600 Speaker 2: And then you remember TLC that used to be the 90 00:03:47,720 --> 00:03:49,760 Speaker 2: Learning Channel when they used to have programming on there. 91 00:03:49,800 --> 00:03:52,520 Speaker 2: They used to do a Saturday night surgery, so they 92 00:03:52,520 --> 00:03:57,200 Speaker 2: would show you full surgery like lightposuction, knee replacement. There 93 00:03:57,280 --> 00:03:59,480 Speaker 2: was a breast augmentation that was on there one time, 94 00:03:59,520 --> 00:04:02,360 Speaker 2: and it's you're in the room with the surgeon. They 95 00:04:02,400 --> 00:04:04,880 Speaker 2: didn't they didn't censor anything out. 96 00:04:05,000 --> 00:04:05,840 Speaker 3: It was very graphic. 97 00:04:06,040 --> 00:04:10,720 Speaker 4: That sounds festive, Yeah, learned a lot, but also was 98 00:04:10,760 --> 00:04:11,360 Speaker 4: super gross. 99 00:04:12,640 --> 00:04:15,080 Speaker 2: So there's been a lot of talk about the Netflix 100 00:04:15,160 --> 00:04:19,640 Speaker 2: Warner Brothers merger, paramount Warner Brothers, hostile takeover, this kind 101 00:04:19,680 --> 00:04:22,760 Speaker 2: of thing. The President has weighed in on this, and 102 00:04:22,800 --> 00:04:24,360 Speaker 2: he says it all has to go through him, and 103 00:04:24,400 --> 00:04:26,520 Speaker 2: there is one condition that he's going to demand from 104 00:04:26,560 --> 00:04:27,320 Speaker 2: Bloomberg TV. 105 00:04:27,680 --> 00:04:31,760 Speaker 6: I think any deal should it should be guaranteed and 106 00:04:31,920 --> 00:04:36,120 Speaker 6: certain that CNN is part of it or sold separately. 107 00:04:36,160 --> 00:04:37,880 Speaker 6: But I don't think the people that are running that 108 00:04:38,000 --> 00:04:41,920 Speaker 6: company right now and running CNN, which is a very 109 00:04:41,960 --> 00:04:46,159 Speaker 6: dishonest group of people, I don't think that should be 110 00:04:46,160 --> 00:04:47,280 Speaker 6: allowed to continue. 111 00:04:47,760 --> 00:04:49,080 Speaker 3: Yeah, it might surprise you. 112 00:04:49,120 --> 00:04:51,680 Speaker 2: There are some people that are claiming that by the 113 00:04:51,720 --> 00:04:55,440 Speaker 2: President weighing in on this and making demands about how 114 00:04:55,480 --> 00:04:56,599 Speaker 2: the network. 115 00:04:58,360 --> 00:05:04,640 Speaker 3: Presents itself is paramount to the state run media. 116 00:05:05,640 --> 00:05:09,200 Speaker 4: I know it's weird to consider that, but yeah, basically, 117 00:05:09,240 --> 00:05:11,359 Speaker 4: when he says you have to you have to change 118 00:05:11,400 --> 00:05:16,160 Speaker 4: CNN for me to okay your deal, but feels very state. 119 00:05:16,000 --> 00:05:18,160 Speaker 3: Run media ish to me. 120 00:05:18,160 --> 00:05:20,760 Speaker 2: Meanwhile, you've got a council member in the City of Burbank, 121 00:05:20,760 --> 00:05:23,760 Speaker 2: and you heard Mark talk about this in his news 122 00:05:23,800 --> 00:05:26,560 Speaker 2: formally asking the City of Burbank to intervene in the 123 00:05:26,640 --> 00:05:32,039 Speaker 2: acquisition to protect local jobs and economic interests. There's no 124 00:05:32,160 --> 00:05:35,520 Speaker 2: doubt that the acquisition is going to cost jobs. 125 00:05:35,520 --> 00:05:36,800 Speaker 3: We discussed that last night. 126 00:05:36,800 --> 00:05:38,920 Speaker 2: If you missed it, the podcast is up on the 127 00:05:39,040 --> 00:05:43,719 Speaker 2: KFI AM six forty dot com featured Podcast. So Burbank 128 00:05:44,160 --> 00:05:47,640 Speaker 2: is gonna get hit real hard, right, I mean, media 129 00:05:47,680 --> 00:05:50,320 Speaker 2: capital of the world we're gonna get We're gonna get hit. 130 00:05:51,279 --> 00:05:55,239 Speaker 2: And so you've got production companies that that that could shift, 131 00:05:55,279 --> 00:05:59,080 Speaker 2: You've got layoffs, you've got relocation, and we've already lost 132 00:05:59,200 --> 00:06:02,640 Speaker 2: enough production to Georgia. Seems like everything's being filmed in 133 00:06:02,680 --> 00:06:05,120 Speaker 2: Georgia now, where we're fighting to try to get some 134 00:06:05,160 --> 00:06:07,719 Speaker 2: of that production back. We've offered some some tax incentives 135 00:06:07,720 --> 00:06:10,400 Speaker 2: in the state of California, and now this is. 136 00:06:11,720 --> 00:06:13,240 Speaker 3: Not helping at all. 137 00:06:13,400 --> 00:06:19,400 Speaker 2: So the the deal here is that as as one 138 00:06:19,440 --> 00:06:24,320 Speaker 2: of the largest employers and tax payers in Burbank, Warner Brothers, 139 00:06:25,000 --> 00:06:29,320 Speaker 2: obviously there are leaders that are concerned about the economic 140 00:06:29,360 --> 00:06:32,760 Speaker 2: interests of the of the city and what happens. If 141 00:06:33,040 --> 00:06:34,640 Speaker 2: you know, if Netflix says, cool, we don't need to 142 00:06:34,640 --> 00:06:35,560 Speaker 2: be in Burbank anymore. 143 00:06:36,560 --> 00:06:37,560 Speaker 3: I don't know what do we do now. 144 00:06:39,480 --> 00:06:43,520 Speaker 2: So is it possible that in this case, Burbank, being 145 00:06:43,560 --> 00:06:46,120 Speaker 2: the little guy, is somehow able to shut this down. 146 00:06:47,560 --> 00:06:50,000 Speaker 3: I don't think so. Honestly. 147 00:06:50,040 --> 00:06:52,120 Speaker 2: I think there's too much money at play here, and 148 00:06:52,160 --> 00:06:54,680 Speaker 2: I think that this this takes on politicians on a 149 00:06:54,760 --> 00:06:56,839 Speaker 2: much much higher level. I mean, if the president is 150 00:06:56,880 --> 00:07:01,159 Speaker 2: watching the minutia of what's gonna happen to the twenty 151 00:07:01,160 --> 00:07:04,080 Speaker 2: four hour news outlet that he doesn't like the most, 152 00:07:04,560 --> 00:07:08,480 Speaker 2: I don't think he's really concerned with a city in California, 153 00:07:08,520 --> 00:07:10,480 Speaker 2: which is a state he's happy to attack. I just 154 00:07:10,520 --> 00:07:14,640 Speaker 2: don't think. I don't think he really cares. But you 155 00:07:14,720 --> 00:07:16,680 Speaker 2: got tens of thousands of people. You've got tens of 156 00:07:16,680 --> 00:07:20,760 Speaker 2: thousands of jobs, you got union jobs, you got vendors, 157 00:07:20,760 --> 00:07:23,160 Speaker 2: you got hospitality, you got services, everything. 158 00:07:23,360 --> 00:07:25,760 Speaker 3: It's not just about the studio. It's about the. 159 00:07:26,360 --> 00:07:31,080 Speaker 2: Regional economy that could be hit real hard when consolidation happens. 160 00:07:31,080 --> 00:07:32,880 Speaker 2: And we know that they're gonna do job layoffs, we 161 00:07:33,000 --> 00:07:36,840 Speaker 2: know that the merger is gonna eliminate redundancies and streamline 162 00:07:36,880 --> 00:07:37,440 Speaker 2: things for a. 163 00:07:37,400 --> 00:07:38,640 Speaker 3: More efficient operation. 164 00:07:39,440 --> 00:07:42,400 Speaker 2: We're gonna blend our synergies to really take this to 165 00:07:42,440 --> 00:07:43,239 Speaker 2: the next level. 166 00:07:43,280 --> 00:07:46,280 Speaker 3: And all the other corporates speak. So what does that? 167 00:07:47,160 --> 00:07:49,239 Speaker 3: What does that mean to the entire area? 168 00:07:49,960 --> 00:07:52,600 Speaker 2: When you start reducing jobs and then you start looking 169 00:07:52,640 --> 00:07:57,480 Speaker 2: for more efficiencies, there's a lot of people worried, and 170 00:07:57,520 --> 00:08:01,440 Speaker 2: I think justifiably. So all right, you fell in love 171 00:08:01,480 --> 00:08:04,120 Speaker 2: with this guy as he was cracking jokes, he was dancing, 172 00:08:05,040 --> 00:08:11,280 Speaker 2: he sang, he twirled across decades of entertainment. Now experts 173 00:08:11,320 --> 00:08:13,600 Speaker 2: are asking, what is it that he knows about living 174 00:08:13,680 --> 00:08:17,840 Speaker 2: so long? The secret to longevity is more than good 175 00:08:18,360 --> 00:08:19,280 Speaker 2: just good genes. 176 00:08:19,400 --> 00:08:20,840 Speaker 3: What is that secret? 177 00:08:20,960 --> 00:08:24,160 Speaker 2: From one of the most beloved Americans in history? That's next, 178 00:08:24,240 --> 00:08:24,720 Speaker 2: Chris Merrill. 179 00:08:25,360 --> 00:08:29,040 Speaker 7: You're listening to Tim Conway Junior on demand from KFI 180 00:08:29,360 --> 00:08:30,280 Speaker 7: AM sixty. 181 00:08:30,440 --> 00:08:32,680 Speaker 2: Did you see two that there's Oh, I'm Chris merrilf 182 00:08:32,720 --> 00:08:36,560 Speaker 2: I AM six forty YadA, YadA YadA, stimulating talk on demand. 183 00:08:36,600 --> 00:08:38,800 Speaker 3: iHeart radio there you did you see that? 184 00:08:38,880 --> 00:08:42,400 Speaker 2: The Golden Globe says their their podcast nominations and that's 185 00:08:42,400 --> 00:08:44,200 Speaker 2: turned into a political thing back and forth. 186 00:08:44,720 --> 00:08:49,120 Speaker 3: I thought they were avoiding political podcast they are. 187 00:08:49,960 --> 00:08:52,640 Speaker 2: That's part of the reason the Golden Globes. Let's see 188 00:08:52,760 --> 00:08:57,440 Speaker 2: here two battling headlines comedy stars triumph over right wing 189 00:08:57,600 --> 00:09:02,040 Speaker 2: fire brands and first Golden Globes podcast nominations, and then 190 00:09:02,440 --> 00:09:05,800 Speaker 2: from the Daily Mail, Golden Globes nominates Woke Liberals for 191 00:09:05,880 --> 00:09:09,040 Speaker 2: inaugural Best Podcast Award while leaving out Joe Rogan and 192 00:09:09,080 --> 00:09:14,040 Speaker 2: Meghan Kelly. So can't win. They try not to name 193 00:09:14,080 --> 00:09:19,120 Speaker 2: people for their political you know, they want to stay 194 00:09:19,120 --> 00:09:21,000 Speaker 2: out of it. So they just basically say, you know, 195 00:09:21,040 --> 00:09:23,959 Speaker 2: we're not going to have political podcasts, and then they 196 00:09:23,960 --> 00:09:27,160 Speaker 2: get lambastard for being political for not having political podcasts. 197 00:09:27,160 --> 00:09:29,240 Speaker 3: So can't win. 198 00:09:29,320 --> 00:09:33,520 Speaker 2: Man cannot win, Ellie Times. I still did a story 199 00:09:33,559 --> 00:09:36,280 Speaker 2: too about the podcast industry is under siege. Just AI 200 00:09:36,320 --> 00:09:40,720 Speaker 2: bots flood airwaves with thousands of programs, just total slop, 201 00:09:42,320 --> 00:09:48,000 Speaker 2: absolute slop. It's happening at colleges too. In fact, colleges 202 00:09:48,040 --> 00:09:51,000 Speaker 2: are starting to fight back. I will tell you what 203 00:09:51,000 --> 00:09:55,080 Speaker 2: they're doing, and it sounds dirty, but it's not. That 204 00:09:55,200 --> 00:09:58,600 Speaker 2: is coming up here after Mark's nine thirty News, there 205 00:09:58,840 --> 00:10:05,040 Speaker 2: is there is one of the great Americans who I said, 206 00:10:05,480 --> 00:10:08,360 Speaker 2: boy boy, we gotta protect this guy, bubble wrap him. 207 00:10:09,640 --> 00:10:13,199 Speaker 2: I had this feeling about this guy, the same feeling 208 00:10:13,280 --> 00:10:17,360 Speaker 2: I had about Betty White, Like, God, what an icon, 209 00:10:17,520 --> 00:10:20,120 Speaker 2: and we're about to celebrate one hundred years. I think 210 00:10:20,120 --> 00:10:23,000 Speaker 2: it's tomorrow Dick Vandyke. I believe it's tomorrow he turns 211 00:10:23,040 --> 00:10:26,160 Speaker 2: one hundred. Dick Van Dyke is turning one hundred years old, 212 00:10:26,200 --> 00:10:29,080 Speaker 2: and I thought, this is one of those great yep, tomorrow. 213 00:10:29,800 --> 00:10:32,959 Speaker 2: He is one of the great American icons. 214 00:10:33,240 --> 00:10:36,760 Speaker 3: Is he is old? Hollywood? He is. 215 00:10:39,120 --> 00:10:42,040 Speaker 2: An everyday ball of joy. Have you ever seen Dick 216 00:10:42,120 --> 00:10:44,960 Speaker 2: Van Dyke and not smile? I mean, this guy could 217 00:10:44,960 --> 00:10:47,000 Speaker 2: play a villain, he'd be like, wow, Dick Vandyke did 218 00:10:47,040 --> 00:10:51,520 Speaker 2: a nice job of playing a villain. But then there 219 00:10:51,520 --> 00:10:56,120 Speaker 2: are actors like who is Oh, why is his name? 220 00:10:56,320 --> 00:10:57,600 Speaker 2: Professor Snape? What's his name? 221 00:10:57,760 --> 00:11:03,199 Speaker 3: Ellen? Rickman? Right? Was that ta get it right? Yeah? Yeah? 222 00:11:02,760 --> 00:11:05,720 Speaker 2: When he played a villain, you thought, oh, that actor 223 00:11:05,800 --> 00:11:06,880 Speaker 2: must be a horrible person. 224 00:11:06,880 --> 00:11:09,720 Speaker 3: He was so good at playing a villain, right, Tick. 225 00:11:09,679 --> 00:11:11,440 Speaker 2: Van Dyke was not a believable villain because it was 226 00:11:11,440 --> 00:11:13,320 Speaker 2: Dick Van Dyke, Cause we're all like, no, he's just 227 00:11:13,360 --> 00:11:14,199 Speaker 2: a great dude. 228 00:11:14,360 --> 00:11:15,560 Speaker 3: Everybody loves Tick Van Dyke. 229 00:11:15,920 --> 00:11:18,120 Speaker 2: So he turns one hundred tomorrow, and he was asked 230 00:11:18,160 --> 00:11:22,280 Speaker 2: about his secret to longevity. In fact, he was talking 231 00:11:22,320 --> 00:11:27,200 Speaker 2: with Today's show, and so they were kind of joking 232 00:11:27,240 --> 00:11:28,960 Speaker 2: back and forth about what he does every day. 233 00:11:29,040 --> 00:11:31,480 Speaker 8: What's the one question that people ask you the most 234 00:11:31,559 --> 00:11:34,280 Speaker 8: as you're approaching you know this, this centennial mark? 235 00:11:34,440 --> 00:11:38,120 Speaker 3: Why are you still walking around? Is one? The answer? 236 00:11:38,800 --> 00:11:39,800 Speaker 3: Never stop singing. 237 00:11:40,160 --> 00:11:42,439 Speaker 8: Singing is the best singing you can do for yourself. 238 00:11:43,360 --> 00:11:46,560 Speaker 3: You can't sing if you're angry. Maybe some ska. 239 00:11:47,240 --> 00:11:49,920 Speaker 8: Usually I'll wake up with an old tune going through 240 00:11:49,920 --> 00:11:53,760 Speaker 8: my head. They call her fivolous shout a pecular sort 241 00:11:53,760 --> 00:11:57,240 Speaker 8: of a goal a while sort of devil oh dead. 242 00:11:57,120 --> 00:12:00,400 Speaker 3: On a level was my old pal. You don't stop. 243 00:12:00,480 --> 00:12:02,880 Speaker 3: You're not gonna retire, are you? I don't want to. 244 00:12:03,480 --> 00:12:05,920 Speaker 3: I know. It's my hobby, it's my life. I love it. 245 00:12:06,480 --> 00:12:10,280 Speaker 3: I'm looking for work right now. That's so great. Haven't 246 00:12:10,320 --> 00:12:11,560 Speaker 3: you done that? You'd like to do? 247 00:12:11,679 --> 00:12:15,120 Speaker 8: What role? I wanted to be Scrooge, always wanted to 248 00:12:15,160 --> 00:12:17,080 Speaker 8: play Scrooge, and I could do it. 249 00:12:17,320 --> 00:12:23,040 Speaker 3: It's just November. I still got time, you know what? 250 00:12:23,200 --> 00:12:25,640 Speaker 2: He could pull off Scrooge because Scrooge has a change 251 00:12:25,640 --> 00:12:29,280 Speaker 2: of heart at the end, Right, he could pull off Scrooge, Richie, 252 00:12:29,320 --> 00:12:31,640 Speaker 2: whyren't you telling me he's got it. He's got another 253 00:12:32,480 --> 00:12:36,280 Speaker 2: project coming out. This is the deal that Tim Kindwa Jr. 254 00:12:36,320 --> 00:12:37,319 Speaker 2: Was talking to earlier tonight. 255 00:12:37,520 --> 00:12:40,960 Speaker 9: Yeah, so there's this gentleman Mike. I can't remember his 256 00:12:41,040 --> 00:12:43,400 Speaker 9: last name. He is like a big fan of his, 257 00:12:43,640 --> 00:12:48,160 Speaker 9: has a podcast, knows every little detail about mister over 258 00:12:48,200 --> 00:12:51,280 Speaker 9: here one hundred years old. But yeah, no, there are 259 00:12:51,360 --> 00:12:53,080 Speaker 9: just promote There was like an event that they were 260 00:12:53,120 --> 00:12:56,120 Speaker 9: having somewhere out in Malibu. It was like it wasn't 261 00:12:56,160 --> 00:12:58,080 Speaker 9: gonna be stream during it. It was like a one time 262 00:12:58,160 --> 00:13:00,440 Speaker 9: type thing where you go watch a docum entry that 263 00:13:00,480 --> 00:13:03,319 Speaker 9: he created and yeah, I'll have to figure out the 264 00:13:03,360 --> 00:13:05,439 Speaker 9: details before I put some nonsense up in the air. 265 00:13:05,480 --> 00:13:08,800 Speaker 9: But yeah, it's with Fathom Events essentially that you can 266 00:13:08,880 --> 00:13:10,160 Speaker 9: like a lot of movie theaters are going to er 267 00:13:10,240 --> 00:13:10,920 Speaker 9: it essentially. 268 00:13:11,120 --> 00:13:15,520 Speaker 3: Oh okay, Yeah, that's so great. Love Dick Van Dyke 269 00:13:15,559 --> 00:13:17,440 Speaker 3: growing up, God, I loved him. 270 00:13:18,440 --> 00:13:26,280 Speaker 2: He credits his remarkable longevity to this is from the conversation. 271 00:13:26,800 --> 00:13:29,160 Speaker 3: His positive outlook and never getting angry. 272 00:13:30,800 --> 00:13:33,760 Speaker 2: So They say longevity comes down to many factors, including 273 00:13:33,760 --> 00:13:36,160 Speaker 2: genetics and lifestyle, but there is some truth to Dick 274 00:13:36,280 --> 00:13:39,560 Speaker 2: Van Dyke's claims. Numerous studies have shown that keeping stress 275 00:13:39,640 --> 00:13:42,920 Speaker 2: levels low and maintaining a positive, optimistic outlook or correlated 276 00:13:42,960 --> 00:13:44,240 Speaker 2: with longevity. 277 00:13:45,440 --> 00:13:46,520 Speaker 3: In the early nineteen. 278 00:13:46,240 --> 00:13:49,920 Speaker 2: Thirties, researchers asked a group of nearly seven hundred novice nuns, 279 00:13:49,960 --> 00:13:51,760 Speaker 2: most of whom were about twenty two years of age, 280 00:13:51,760 --> 00:13:55,199 Speaker 2: to write an autobiography when they joined a convent. Six 281 00:13:55,240 --> 00:13:58,480 Speaker 2: decades later, researchers analyzed those works and compare their analysis 282 00:13:58,559 --> 00:14:01,600 Speaker 2: with the women's long term health outcomes, and they found 283 00:14:01,600 --> 00:14:04,840 Speaker 2: that women who expressed more positive emotion early in life, 284 00:14:05,320 --> 00:14:08,600 Speaker 2: like saying they felt grateful instead of resentful, lived an 285 00:14:08,640 --> 00:14:12,200 Speaker 2: average of ten years longer than those writing tended to 286 00:14:12,200 --> 00:14:17,720 Speaker 2: be than those who wrote more negatively. UK study finding 287 00:14:17,760 --> 00:14:20,200 Speaker 2: people who are more optimistic live between eleven and fifteen 288 00:14:20,200 --> 00:14:24,560 Speaker 2: percent longer than pessimistic counterparts. So that whole only the 289 00:14:24,560 --> 00:14:28,200 Speaker 2: good die young, I guess is not entirely true. There 290 00:14:28,240 --> 00:14:32,120 Speaker 2: you go, So you want to want to live longer, 291 00:14:32,160 --> 00:14:34,440 Speaker 2: You're gonna put a little smile on your face. Sometimes 292 00:14:34,480 --> 00:14:38,360 Speaker 2: you gotta fake it. Sometimes you gotta fake it. But 293 00:14:38,480 --> 00:14:40,960 Speaker 2: I was when I was in college great advice, it 294 00:14:41,000 --> 00:14:43,520 Speaker 2: was good life advice. It was actually for the stage. 295 00:14:43,560 --> 00:14:47,080 Speaker 2: So I went to school for theater and I was terrible. 296 00:14:47,680 --> 00:14:53,720 Speaker 2: But advice that we got was how do you conjure 297 00:14:53,760 --> 00:15:00,600 Speaker 2: that emotion night after night after night after night, and 298 00:15:00,600 --> 00:15:04,400 Speaker 2: and the answer was you can't. You can't possibly conjure 299 00:15:04,440 --> 00:15:06,720 Speaker 2: that emotion, the same emotion, the highs, the lows, to 300 00:15:07,000 --> 00:15:08,800 Speaker 2: fulfill that character night after night after night. 301 00:15:08,840 --> 00:15:10,240 Speaker 3: And if you've got a long run, you can't do it. 302 00:15:10,920 --> 00:15:11,680 Speaker 3: And I said, poll shit. 303 00:15:11,720 --> 00:15:14,600 Speaker 2: What you can do is basically act, and that is 304 00:15:14,640 --> 00:15:18,280 Speaker 2: that you you you go through the physical embodiment of 305 00:15:18,320 --> 00:15:22,440 Speaker 2: the emotion, and the emotion will follow. In other words, 306 00:15:22,520 --> 00:15:27,120 Speaker 2: if you're feeling down, or maybe you're not feeling the best, 307 00:15:28,720 --> 00:15:32,760 Speaker 2: you just make your You make the smile happen, whether 308 00:15:32,800 --> 00:15:34,560 Speaker 2: you're feeling the smile or not. If you make the 309 00:15:34,600 --> 00:15:36,640 Speaker 2: smile happen, the rest of it comes along with it. 310 00:15:37,280 --> 00:15:40,320 Speaker 2: And that really struck me. It struck me because I thought, 311 00:15:40,960 --> 00:15:45,360 Speaker 2: you know what I can I can manipulate my own 312 00:15:45,440 --> 00:15:48,560 Speaker 2: emotions without really trying too hard. All I have to 313 00:15:48,600 --> 00:15:53,240 Speaker 2: do is just go through the physical exercise of smile, 314 00:15:54,320 --> 00:15:57,520 Speaker 2: and eventually my day is gonna get better. I might 315 00:15:57,560 --> 00:16:01,480 Speaker 2: sound like a bunch of hippie crap, but I've used 316 00:16:01,480 --> 00:16:03,800 Speaker 2: it a few times, and I gotta tell you it 317 00:16:03,800 --> 00:16:04,800 Speaker 2: didn't hurt me to use it. 318 00:16:05,280 --> 00:16:05,960 Speaker 3: Give it a shot. 319 00:16:06,400 --> 00:16:09,680 Speaker 2: Hey, For decades, you've watched universities try to digitize everything, 320 00:16:09,840 --> 00:16:13,000 Speaker 2: scan trin, remember scan trying all the scantron tests. Now 321 00:16:13,040 --> 00:16:17,160 Speaker 2: schools are bringing back something so old school it predates 322 00:16:17,480 --> 00:16:23,720 Speaker 2: pen and paper. You've got professors finally outsmarting machines that 323 00:16:23,760 --> 00:16:25,200 Speaker 2: have been writing term papers for you. 324 00:16:25,320 --> 00:16:27,840 Speaker 3: That is next what they're doing. It's Chris Meryld. 325 00:16:28,400 --> 00:16:31,520 Speaker 7: You're listening to Tim Conway Junior on De Maya from 326 00:16:31,640 --> 00:16:33,440 Speaker 7: KFI AM six forty. 327 00:16:34,080 --> 00:16:37,400 Speaker 2: Always an honor to spend time with you. You are 328 00:16:37,680 --> 00:16:42,240 Speaker 2: fantasm eras all the way around, all the way around, 329 00:16:42,600 --> 00:16:45,640 Speaker 2: just talking about Dick Van Dyke, Protect that man, bubble 330 00:16:45,680 --> 00:16:50,040 Speaker 2: wrap that man. Remember when Betty White was getting close 331 00:16:50,040 --> 00:16:51,080 Speaker 2: to one hundred and the all of a sudden we 332 00:16:51,120 --> 00:16:53,640 Speaker 2: got word that Betty White suddenly passed away. I mean 333 00:16:53,760 --> 00:16:57,720 Speaker 2: that felt like a collective nationwide gut punch, didn't it. 334 00:16:58,520 --> 00:17:00,000 Speaker 3: Nobody could say a bad thing about it. 335 00:17:00,160 --> 00:17:04,600 Speaker 4: And she loved animals, which just another feather in her cap, right, 336 00:17:05,080 --> 00:17:06,800 Speaker 4: And I feel the same way about Dick Van Dyke. 337 00:17:07,600 --> 00:17:10,479 Speaker 4: Have we heard anything bad about Dick van Dyke. If 338 00:17:10,520 --> 00:17:12,960 Speaker 4: he's got a dark side, he's kept it pretty well hidden. 339 00:17:13,000 --> 00:17:15,359 Speaker 2: And everybody else and he's a last at anybody that 340 00:17:15,480 --> 00:17:16,520 Speaker 2: could reveal the secret. 341 00:17:16,560 --> 00:17:19,200 Speaker 3: I guess, well right now. 342 00:17:19,080 --> 00:17:26,159 Speaker 10: On Channel fifty Local LTV. Yeah, American Masters is special 343 00:17:27,680 --> 00:17:32,120 Speaker 10: Dick Van Dyke episode Birthday Celebrations. 344 00:17:32,240 --> 00:17:34,920 Speaker 2: Oh cool, all right, check that out when I get home. 345 00:17:35,600 --> 00:17:37,439 Speaker 2: That's cool, Thank you very much. I caught a Dick 346 00:17:37,520 --> 00:17:39,399 Speaker 2: Van Dyke movie on two be not long ago. There 347 00:17:39,480 --> 00:17:41,479 Speaker 2: was a lot of fun called Fitzwillie. It had Barbara 348 00:17:41,480 --> 00:17:44,800 Speaker 2: Feldon from Get Smart in it. Oh no kidding, Yeah, 349 00:17:44,920 --> 00:17:46,120 Speaker 2: I mean, you know, god. 350 00:17:45,960 --> 00:17:50,360 Speaker 3: She was pretty. Oh yeah, yeah, she's pretty. Yeah. She's 351 00:17:50,359 --> 00:17:54,919 Speaker 3: still with us too, is she? Yeah? That's awesome. I 352 00:17:55,000 --> 00:18:01,480 Speaker 3: like her too. I like her? All right, let me see, 353 00:18:03,640 --> 00:18:07,000 Speaker 3: Oh did you see chat? GPT just released an update. 354 00:18:07,840 --> 00:18:08,399 Speaker 3: It's a big thing. 355 00:18:08,440 --> 00:18:11,800 Speaker 2: They're all worried about to Google's Gemini taking over. So 356 00:18:11,840 --> 00:18:16,399 Speaker 2: the the the AI wars are continuing because Google basically 357 00:18:16,400 --> 00:18:19,960 Speaker 2: caught up. So open AI releases this chat GPT. It 358 00:18:20,040 --> 00:18:21,680 Speaker 2: kind of takes the world by storm all of a sudden, 359 00:18:21,720 --> 00:18:25,040 Speaker 2: You've got everyone else that is abandoning all other projects 360 00:18:25,040 --> 00:18:29,399 Speaker 2: and focusing on catching up the chat GPT. So Google says, 361 00:18:29,720 --> 00:18:31,480 Speaker 2: we got to go all in on this chat on 362 00:18:31,480 --> 00:18:33,640 Speaker 2: on our AI. So they come up with a Gemini 363 00:18:33,880 --> 00:18:37,160 Speaker 2: meta basically dumps all of their augmented reality that they 364 00:18:37,160 --> 00:18:39,679 Speaker 2: had been working on. They go all in on their AI. 365 00:18:41,200 --> 00:18:43,879 Speaker 2: Elon Musk says, we got to get GROC up and running. 366 00:18:43,920 --> 00:18:47,480 Speaker 2: So everybody's, you know, this this big arms race for AI. 367 00:18:48,520 --> 00:18:51,880 Speaker 2: And then the latest Gemini got released and the reviews 368 00:18:51,880 --> 00:18:55,320 Speaker 2: are really good for Google's new AI, and chat GPT 369 00:18:55,520 --> 00:18:58,320 Speaker 2: issued what they called a code red and they just 370 00:18:58,400 --> 00:19:01,000 Speaker 2: issued uh chat GPT five point. 371 00:19:00,760 --> 00:19:03,320 Speaker 3: Two that came out. 372 00:19:03,560 --> 00:19:06,879 Speaker 2: So the AI continues to advance very very quickly, and 373 00:19:06,920 --> 00:19:08,040 Speaker 2: it's getting better and better. 374 00:19:08,080 --> 00:19:08,280 Speaker 3: Now. 375 00:19:08,400 --> 00:19:12,000 Speaker 2: I have a neighbor who is a college professor, and 376 00:19:12,040 --> 00:19:14,360 Speaker 2: I was talking to her about the threats of AI 377 00:19:14,440 --> 00:19:17,480 Speaker 2: and in our business, right, and this. 378 00:19:17,520 --> 00:19:20,600 Speaker 3: Is why I'm our own. 379 00:19:20,640 --> 00:19:22,960 Speaker 2: Mark Roner put it so well a few few weeks 380 00:19:22,960 --> 00:19:25,000 Speaker 2: ago when he said that he's very proud of our company, 381 00:19:25,000 --> 00:19:28,159 Speaker 2: who's you know, one hundred percent guaranteed human and our 382 00:19:28,240 --> 00:19:30,199 Speaker 2: and our podcast and in our and our hosting and 383 00:19:30,200 --> 00:19:33,000 Speaker 2: things like that, and uh, it is it is a 384 00:19:33,119 --> 00:19:37,560 Speaker 2: major concern in not just the entertainment industry and every industry. 385 00:19:38,400 --> 00:19:40,840 Speaker 2: And I said that I uh, I said, I dabble 386 00:19:40,880 --> 00:19:43,240 Speaker 2: with it a little bit when I'm looking for summaries 387 00:19:43,280 --> 00:19:45,159 Speaker 2: of stories and things like that. And I said, but 388 00:19:45,359 --> 00:19:49,440 Speaker 2: the stupid thing has this bad tendency. It writes everything 389 00:19:49,480 --> 00:19:52,320 Speaker 2: the same and becomes very obvious that something was written 390 00:19:52,320 --> 00:19:56,680 Speaker 2: by AI. And there's certain turns of phrases, and when 391 00:19:56,680 --> 00:19:59,280 Speaker 2: you're reading it, there's certain giveaways. 392 00:19:58,880 --> 00:20:02,720 Speaker 3: And he's that's AI. That's just slot. Let's just garbage. 393 00:20:03,480 --> 00:20:06,879 Speaker 2: She said, her students are using AI, but they're not 394 00:20:06,920 --> 00:20:12,080 Speaker 2: smart enough to realize that AI has tells. So you know, 395 00:20:12,520 --> 00:20:16,200 Speaker 2: when you were young, you know, our writing skills are 396 00:20:16,240 --> 00:20:19,680 Speaker 2: not what they are by the time we graduate college. Right, 397 00:20:20,280 --> 00:20:23,119 Speaker 2: And so she says she's got freshmen in her class 398 00:20:23,119 --> 00:20:24,760 Speaker 2: and they turn something in and it's got these different 399 00:20:24,760 --> 00:20:27,480 Speaker 2: turns of phrases, the it's got the M dashes all 400 00:20:27,520 --> 00:20:30,680 Speaker 2: over it, and and she says, it's obvious. 401 00:20:30,760 --> 00:20:30,920 Speaker 3: Now. 402 00:20:31,040 --> 00:20:33,080 Speaker 2: She doesn't tell them that she knows it. She tells 403 00:20:33,080 --> 00:20:34,679 Speaker 2: them I know AI wrote that. She doesn't tell them 404 00:20:34,680 --> 00:20:36,320 Speaker 2: how she came to that conclusion. She says, the kids 405 00:20:36,359 --> 00:20:38,920 Speaker 2: are using AI all the time, and then they're using 406 00:20:38,960 --> 00:20:41,520 Speaker 2: it for their exams. That's the other thing is that 407 00:20:41,600 --> 00:20:46,120 Speaker 2: kids are using AI in some of their final exams, 408 00:20:46,160 --> 00:20:49,080 Speaker 2: and so schools are trying to figure out how do 409 00:20:49,080 --> 00:20:50,880 Speaker 2: we get around this because by the time they get 410 00:20:51,080 --> 00:20:53,200 Speaker 2: a few years into college, they start figuring it out. 411 00:20:53,240 --> 00:20:56,040 Speaker 3: They start going, uh, oh, here's what AI is doing. 412 00:20:56,119 --> 00:20:58,200 Speaker 2: They start getting their AI prompts right, they start talking 413 00:20:58,200 --> 00:21:01,600 Speaker 2: to older, older siblings, so they start talking to upperclassmen, 414 00:21:01,600 --> 00:21:02,760 Speaker 2: and the upper classmen. 415 00:21:02,359 --> 00:21:03,520 Speaker 3: Going, oh, you got to do this, you got to 416 00:21:03,520 --> 00:21:04,240 Speaker 3: do that, you got to do this. 417 00:21:04,280 --> 00:21:05,439 Speaker 2: You can't do it this way, you got to do this, 418 00:21:05,480 --> 00:21:07,280 Speaker 2: and this is going to give you the paper that's 419 00:21:07,280 --> 00:21:08,720 Speaker 2: going to be more in your voice, and this is 420 00:21:08,720 --> 00:21:11,840 Speaker 2: how you do it. And they're getting good. The freshmen 421 00:21:11,880 --> 00:21:13,520 Speaker 2: are bad at it, but once it been there a 422 00:21:13,560 --> 00:21:14,800 Speaker 2: little while, they start getting. 423 00:21:14,520 --> 00:21:14,959 Speaker 3: Good at it. 424 00:21:15,840 --> 00:21:17,280 Speaker 2: And then they start using this on the test and 425 00:21:17,880 --> 00:21:19,399 Speaker 2: then the teachers go is to say I, and then 426 00:21:19,400 --> 00:21:22,960 Speaker 2: the kids go no, and then the professors they have 427 00:21:23,000 --> 00:21:23,959 Speaker 2: to what try to prove it. 428 00:21:23,840 --> 00:21:25,080 Speaker 3: It becomes very challenging. 429 00:21:25,160 --> 00:21:29,840 Speaker 2: So there are a few universities that have figured out 430 00:21:29,840 --> 00:21:33,680 Speaker 2: an end around, and as happened so many times, when 431 00:21:33,720 --> 00:21:39,679 Speaker 2: it comes to defeating modern technology, you just go old school, 432 00:21:40,440 --> 00:21:43,480 Speaker 2: and so that's what they're doing. To fight the increasing 433 00:21:43,560 --> 00:21:48,000 Speaker 2: use of artificial intelligence, Professors at universities across the United States, 434 00:21:48,040 --> 00:21:52,040 Speaker 2: including University of Wyoming, Vanderbilt, and you see San Diego 435 00:21:53,000 --> 00:21:57,679 Speaker 2: are using oral exams to measure student learning during conversation. 436 00:21:58,640 --> 00:22:01,520 Speaker 2: So rather than write something up, rather than turning this essay, 437 00:22:01,640 --> 00:22:03,879 Speaker 2: rather than your final paper is due, it needs to 438 00:22:03,960 --> 00:22:09,199 Speaker 2: be you know, ten pages. Whatever they say you're going 439 00:22:09,280 --> 00:22:13,280 Speaker 2: to have, you're gonna be able to do oral in college, 440 00:22:13,480 --> 00:22:15,400 Speaker 2: and it's going to be thirty minutes with your professor. 441 00:22:16,200 --> 00:22:18,159 Speaker 3: And also some professors are giving tests. 442 00:22:18,760 --> 00:22:21,600 Speaker 2: So oral assessments require that the students explain, defend, and 443 00:22:21,640 --> 00:22:23,760 Speaker 2: synthesize ideas in real time, making. 444 00:22:23,520 --> 00:22:25,640 Speaker 3: Them harder for AI tools to replicate. 445 00:22:25,680 --> 00:22:28,240 Speaker 2: Now, the trouble, of course, is what if you are 446 00:22:28,280 --> 00:22:31,400 Speaker 2: a student that gets nervous in those situations? 447 00:22:32,320 --> 00:22:32,960 Speaker 3: You know what's the. 448 00:22:32,960 --> 00:22:38,000 Speaker 2: End around on that, And even still you can still 449 00:22:38,040 --> 00:22:40,719 Speaker 2: study with AI. That's fine as long as as long 450 00:22:40,760 --> 00:22:42,199 Speaker 2: as you trust it. As long as you know that 451 00:22:42,240 --> 00:22:46,639 Speaker 2: it's not turning out slop study away. That's great, But 452 00:22:46,840 --> 00:22:49,399 Speaker 2: how many people get test anxiety? Now imagine if you 453 00:22:49,760 --> 00:22:51,840 Speaker 2: already have maybe some social anxiety, that could be a 454 00:22:51,840 --> 00:22:53,879 Speaker 2: bit of a trick. But I gotta tell you, I 455 00:22:53,920 --> 00:22:57,560 Speaker 2: think that the oral exam is great, even though it's intimidating. 456 00:22:57,640 --> 00:22:59,360 Speaker 3: You know what else is intimidating? Finals? 457 00:23:00,280 --> 00:23:04,720 Speaker 2: Finals are intimidating, and to be to think back to 458 00:23:04,760 --> 00:23:07,359 Speaker 2: when I was in college, I was not someone that 459 00:23:07,480 --> 00:23:11,800 Speaker 2: liked to write a lot, and so when I had 460 00:23:11,800 --> 00:23:13,760 Speaker 2: papers do I was constantly I mean you know how 461 00:23:13,800 --> 00:23:16,920 Speaker 2: I was in college constantly writing papers. 462 00:23:17,440 --> 00:23:20,920 Speaker 3: And then I remember my kids. I had a kid 463 00:23:20,920 --> 00:23:22,080 Speaker 3: go to ASU. 464 00:23:22,920 --> 00:23:25,040 Speaker 2: Now one daughter, My daughter got into the cal State 465 00:23:25,240 --> 00:23:27,280 Speaker 2: system and so she was, you know, she was here 466 00:23:27,320 --> 00:23:30,320 Speaker 2: doing stuff. I had one son that went to ASU 467 00:23:30,880 --> 00:23:33,760 Speaker 2: and he goes, man, I got a paper due. I go, oh, yeah, 468 00:23:33,880 --> 00:23:36,320 Speaker 2: he goes yeah, it has to be three hundred words 469 00:23:36,400 --> 00:23:40,920 Speaker 2: or more. And I thought, are you kidding me? You're 470 00:23:40,920 --> 00:23:43,080 Speaker 2: fretting over a three hundred word paper? 471 00:23:43,160 --> 00:23:44,760 Speaker 3: And what is that? Like a page and a half? 472 00:23:44,840 --> 00:23:47,760 Speaker 3: Not it's like a page? Okay, yeah, maybe a page 473 00:23:47,800 --> 00:23:48,080 Speaker 3: and a half. 474 00:23:48,200 --> 00:23:50,720 Speaker 2: Yeah, I mean I remember when I was in college, 475 00:23:50,800 --> 00:23:53,679 Speaker 2: a typical paper was was a thousand words. I mean 476 00:23:53,720 --> 00:23:55,840 Speaker 2: that was like, here's your assignment. I need a thousand 477 00:23:55,880 --> 00:23:58,000 Speaker 2: words on whatever it is that week, right, And so 478 00:23:58,520 --> 00:24:00,360 Speaker 2: I mean I was cranking out four or five of those. 479 00:24:00,520 --> 00:24:02,680 Speaker 2: We look one a day that I had to write 480 00:24:02,680 --> 00:24:05,720 Speaker 2: three and a half pages. He's worried about a three 481 00:24:05,760 --> 00:24:07,360 Speaker 2: hundred word and he's like, I don't write a three 482 00:24:07,400 --> 00:24:11,640 Speaker 2: hundred essay, got lee. But I remember my finals paper, 483 00:24:11,720 --> 00:24:13,600 Speaker 2: finals papers. It was like, Okay, this is gonna have 484 00:24:13,640 --> 00:24:16,600 Speaker 2: to be minimum ten pages, right, something like that. I 485 00:24:16,600 --> 00:24:19,280 Speaker 2: would much rather have sat and had a half hour 486 00:24:19,320 --> 00:24:22,000 Speaker 2: discussion than had to sit and write ten pages on 487 00:24:22,040 --> 00:24:25,359 Speaker 2: a particular topic that was torturous for somebody that didn't 488 00:24:25,400 --> 00:24:28,440 Speaker 2: like to write. That was brutal. Half an hour and 489 00:24:28,480 --> 00:24:30,200 Speaker 2: I'm done with it. Yeah, I'll take that. Thank you 490 00:24:30,320 --> 00:24:34,000 Speaker 2: very much, Thank you so much. Hey, pour one out 491 00:24:34,040 --> 00:24:37,840 Speaker 2: for the penny. By the way, the Philly Mint, they 492 00:24:37,880 --> 00:24:43,760 Speaker 2: ran their last live penny event and it probably not 493 00:24:43,800 --> 00:24:47,080 Speaker 2: a big surprise. It turned into a a bidding war, 494 00:24:47,160 --> 00:24:52,480 Speaker 2: turned into total chaos, and it just became an absolute mess. 495 00:24:52,520 --> 00:24:56,240 Speaker 2: Wait until you hear how much people were willing to 496 00:24:56,280 --> 00:24:59,720 Speaker 2: pay to get the last pennies off the US mint. 497 00:25:00,400 --> 00:25:02,360 Speaker 2: All right, they bought these at auction. Just wait until 498 00:25:02,359 --> 00:25:04,879 Speaker 2: you hear how much they paid for It's wild. That's next. 499 00:25:05,240 --> 00:25:05,920 Speaker 3: Chris Merrild. 500 00:25:06,280 --> 00:25:09,919 Speaker 7: You're listening to Tim Conway Junior on demand from KF 501 00:25:09,960 --> 00:25:11,600 Speaker 7: I am six forty. 502 00:25:11,520 --> 00:25:13,959 Speaker 2: Tony tech director Tonight, Tony. I love working with you, man, 503 00:25:14,000 --> 00:25:15,800 Speaker 2: You're so much fun. You're just a You're just one 504 00:25:15,800 --> 00:25:17,240 Speaker 2: of the dudes. You're just a dude. 505 00:25:17,359 --> 00:25:23,639 Speaker 3: Man, You're just a dude, all right, just a dude. Ritchie. 506 00:25:24,280 --> 00:25:26,240 Speaker 2: You love it when when I see the schedule comes 507 00:25:26,240 --> 00:25:27,679 Speaker 2: on and says Richie is on with me. You know 508 00:25:27,680 --> 00:25:28,520 Speaker 2: how excited I get. 509 00:25:28,880 --> 00:25:33,400 Speaker 3: It's litty? It is? It is litty. Is that a thing? 510 00:25:34,520 --> 00:25:36,280 Speaker 3: It's Friday? So definitely litty. 511 00:25:36,600 --> 00:25:40,119 Speaker 2: It's little like litty, like like you're lit, but but 512 00:25:40,240 --> 00:25:41,600 Speaker 2: make it cute and make it litty. 513 00:25:41,760 --> 00:25:43,280 Speaker 3: Oh it's litty. 514 00:25:43,760 --> 00:25:47,520 Speaker 2: Okay, I'm done. I gotta tell you, man. Richie reaches 515 00:25:47,560 --> 00:25:49,200 Speaker 2: out to me. He's like, hey, man, I mean we're 516 00:25:49,200 --> 00:25:51,560 Speaker 2: talking hours at a time. He goes, hey, man, what 517 00:25:51,600 --> 00:25:54,639 Speaker 2: can I do to make things better? I just wish 518 00:25:54,680 --> 00:25:57,120 Speaker 2: everyone I ever worked with had your attitude? I mean 519 00:25:57,160 --> 00:26:01,680 Speaker 2: it mark you opened the show up by being sassy 520 00:26:01,720 --> 00:26:03,639 Speaker 2: with me. You shet me on a course tonight to 521 00:26:03,720 --> 00:26:05,919 Speaker 2: just have great energy, and I just love you for it. 522 00:26:05,960 --> 00:26:07,439 Speaker 4: Well, I knew you'd roll with it because you're a 523 00:26:07,480 --> 00:26:12,240 Speaker 4: complete pro. I think he won the week. 524 00:26:12,280 --> 00:26:15,960 Speaker 2: By the way, I think you've got like three or 525 00:26:15,960 --> 00:26:16,520 Speaker 2: four in this week. 526 00:26:16,560 --> 00:26:19,600 Speaker 3: I think I only got a couple. I only pretty good. Man, 527 00:26:19,640 --> 00:26:20,080 Speaker 3: You're good. 528 00:26:20,200 --> 00:26:23,760 Speaker 2: I totally forgot about it. We were in the last segment. 529 00:26:23,760 --> 00:26:24,800 Speaker 2: I totally forgot about that. 530 00:26:24,960 --> 00:26:27,200 Speaker 3: Dad gum it booger. 531 00:26:28,200 --> 00:26:30,320 Speaker 2: Everybody that uh that sent us a talk back tonight, 532 00:26:30,359 --> 00:26:32,840 Speaker 2: you're fantastic. I love except for the drunk guy who 533 00:26:32,880 --> 00:26:35,080 Speaker 2: kept calling Mark the horrible names. 534 00:26:35,320 --> 00:26:37,720 Speaker 3: Well, and he said they accused me of things that 535 00:26:37,760 --> 00:26:38,400 Speaker 3: I didn't say. 536 00:26:39,400 --> 00:26:45,560 Speaker 2: Yeah, but also he was just being generally a heard 537 00:26:46,040 --> 00:26:48,800 Speaker 2: so anyhow. But everybody that was weighing in telling us 538 00:26:48,800 --> 00:26:50,840 Speaker 2: about the grossest thing you ever ate after you heard 539 00:26:50,840 --> 00:26:55,560 Speaker 2: the story about usc and bugs in the cafeteria, that's uh. 540 00:26:55,640 --> 00:26:57,240 Speaker 3: I appreciate that you guys made the show. 541 00:26:57,400 --> 00:26:58,880 Speaker 2: You gave it the kind of texture that I love 542 00:26:58,920 --> 00:27:00,960 Speaker 2: in the show, and I that I'm going to be 543 00:27:01,000 --> 00:27:02,000 Speaker 2: back again on Sunday. 544 00:27:02,000 --> 00:27:05,080 Speaker 3: By the way, four o'clock and we'll talk about a 545 00:27:05,080 --> 00:27:05,600 Speaker 3: little bit more. 546 00:27:05,560 --> 00:27:09,560 Speaker 2: About the merger with Warner Netflix Paramount, whatever that's going 547 00:27:09,640 --> 00:27:12,720 Speaker 2: to be. And I got to thinking about this, what 548 00:27:12,880 --> 00:27:16,119 Speaker 2: is the show that you would like to see rebooted? 549 00:27:16,840 --> 00:27:19,199 Speaker 2: Like if they if you had your way, And it 550 00:27:19,320 --> 00:27:21,679 Speaker 2: was like, Hey, now that we've got these studios together, 551 00:27:21,920 --> 00:27:24,400 Speaker 2: let's give this another shot. 552 00:27:24,680 --> 00:27:26,520 Speaker 3: What is a show you'd love to see come back? 553 00:27:26,600 --> 00:27:28,640 Speaker 2: And I thought of a couple and I'm gonna ask 554 00:27:28,680 --> 00:27:32,560 Speaker 2: this question on Sunday, but I thought Netflix had a couple. 555 00:27:32,600 --> 00:27:34,679 Speaker 3: They had mind Hunter, remember that one. 556 00:27:34,520 --> 00:27:36,919 Speaker 2: That was kind of like a behind the scenes of 557 00:27:36,960 --> 00:27:40,679 Speaker 2: how the FBI developed their their psychological profilers. It was 558 00:27:40,760 --> 00:27:44,679 Speaker 2: such a terrific show, so good, so good, and a 559 00:27:44,800 --> 00:27:47,400 Speaker 2: really fun show that I loved on Netflix too. It'll 560 00:27:47,440 --> 00:27:48,600 Speaker 2: never come back, but i'd love to say. It was 561 00:27:48,680 --> 00:27:56,600 Speaker 2: Santa Clarita diet and Drew Barrymore. And what's the Justified guy? Oh, 562 00:27:56,640 --> 00:28:00,600 Speaker 2: Timothy Olephant Olephant that's it. Yeah, I'd like to see. 563 00:28:00,359 --> 00:28:00,879 Speaker 3: I watched it. 564 00:28:00,920 --> 00:28:03,280 Speaker 2: I keep his name out of my mouth because my 565 00:28:03,320 --> 00:28:06,320 Speaker 2: wife advertised, She's like, let's watch this, Let's watch Justified. 566 00:28:06,640 --> 00:28:09,359 Speaker 3: That guy's so hideous, he's terrible. I'd be careful with that. 567 00:28:09,560 --> 00:28:13,440 Speaker 3: It's terrible. It's the worst. Have you seen the coolest guy? 568 00:28:13,840 --> 00:28:15,520 Speaker 3: What is it? Warrior? Yeah? 569 00:28:15,640 --> 00:28:18,080 Speaker 4: Does that have Timothy the Olifan in it? No, your 570 00:28:18,119 --> 00:28:21,119 Speaker 4: wife will be disappointed. There's no it's olephant free. 571 00:28:21,480 --> 00:28:23,199 Speaker 2: But it's if I ever got to be friends with 572 00:28:23,240 --> 00:28:24,640 Speaker 2: He's the kind of guy I'd love to hang out 573 00:28:24,640 --> 00:28:26,800 Speaker 2: with because he just seems so cool. But I could 574 00:28:26,880 --> 00:28:29,880 Speaker 2: never tell my wife that I was friends with him. Well, 575 00:28:30,160 --> 00:28:32,320 Speaker 2: as a wingman for him, you could probably get some strays. 576 00:28:33,800 --> 00:28:34,720 Speaker 3: I could get some strays. 577 00:28:34,800 --> 00:28:37,520 Speaker 2: Yeah, I just need my wife not to try to 578 00:28:37,560 --> 00:28:39,840 Speaker 2: shag Timothy the Olifant. That's my whole thing. I can't 579 00:28:39,880 --> 00:28:41,320 Speaker 2: tell her because she'd just be like, can I go 580 00:28:41,360 --> 00:28:43,960 Speaker 2: out there be the worst? 581 00:28:44,360 --> 00:28:46,040 Speaker 3: Okay? What was the what do you call it? Wild? No? 582 00:28:46,120 --> 00:28:47,200 Speaker 3: What was a Warrior? 583 00:28:47,320 --> 00:28:50,920 Speaker 4: It's it's a martial arts show that is kind of 584 00:28:50,920 --> 00:28:54,240 Speaker 4: based on some Bruce Lee ideas. And I think the 585 00:28:54,240 --> 00:28:57,720 Speaker 4: stars Andrew Kogi, who is just fantastic. And it's set 586 00:28:57,760 --> 00:29:00,560 Speaker 4: in turn of the century. I think San franc If 587 00:29:00,600 --> 00:29:03,160 Speaker 4: I'm if I'm remembering it right. It ran three seasons. 588 00:29:03,240 --> 00:29:04,240 Speaker 4: It started on HBO. 589 00:29:04,560 --> 00:29:06,920 Speaker 3: I believe it's on Netflix now, and I would love 590 00:29:06,960 --> 00:29:07,920 Speaker 3: for them to resurrect that. 591 00:29:09,400 --> 00:29:14,400 Speaker 2: Okay, boy with you as it's never like it's never like, 592 00:29:14,920 --> 00:29:15,640 Speaker 2: it's never like Boy. 593 00:29:15,640 --> 00:29:18,160 Speaker 3: I'd love to see a friend's reboot. No, with you, 594 00:29:18,240 --> 00:29:20,760 Speaker 3: it's always like, oh, here's this really deep cut thing. No, 595 00:29:20,800 --> 00:29:21,080 Speaker 3: it's good. 596 00:29:21,120 --> 00:29:22,840 Speaker 4: You gotta watch the show. You'll love it if you 597 00:29:23,000 --> 00:29:26,240 Speaker 4: love Bruce Lee. And it's so beautifully done. It's just 598 00:29:26,320 --> 00:29:29,040 Speaker 4: it's great to look at, and it's got every even 599 00:29:29,040 --> 00:29:31,000 Speaker 4: the smallest person in the cast is terrific. 600 00:29:31,280 --> 00:29:36,640 Speaker 3: Also, i'd like to see them restart okay, oh oh Hannibal. Yea, yeah, 601 00:29:36,640 --> 00:29:37,440 Speaker 3: that was a pretty good show. 602 00:29:38,840 --> 00:29:41,040 Speaker 4: They didn't quite get through the whole saga of Lecter 603 00:29:41,440 --> 00:29:44,320 Speaker 4: and Will Graham and Clarice Starling. 604 00:29:44,000 --> 00:29:46,120 Speaker 3: Yet oh they did. 605 00:29:46,480 --> 00:29:48,440 Speaker 2: I watched most of that. I think I did watch 606 00:29:48,440 --> 00:29:50,640 Speaker 2: all of that. I think I did watch all of that. 607 00:29:52,560 --> 00:29:53,840 Speaker 2: Is that not being produced any longer? 608 00:29:54,520 --> 00:29:54,760 Speaker 3: No? 609 00:29:54,840 --> 00:29:58,719 Speaker 4: They keep talking about a reboot or you know, continuation 610 00:29:58,840 --> 00:30:00,360 Speaker 4: of it, but it hasn't quite happened the end. 611 00:30:00,400 --> 00:30:04,600 Speaker 3: All right, you're show warrior. It's not a Max. 612 00:30:05,400 --> 00:30:08,080 Speaker 4: I think it started there, but then HBO picked it 613 00:30:08,160 --> 00:30:13,960 Speaker 4: up and did a third season. HBO is Max. Uh Cinemax. 614 00:30:13,960 --> 00:30:15,760 Speaker 4: It started on Cinemax. Oh, I see it. 615 00:30:16,040 --> 00:30:16,400 Speaker 3: Okay. 616 00:30:16,520 --> 00:30:20,360 Speaker 2: Seasons one through three are available on HBO Max, and 617 00:30:20,440 --> 00:30:28,160 Speaker 2: Netflix has season one through four with subscription. According to IMDb. Yeah, 618 00:30:28,880 --> 00:30:31,120 Speaker 2: I'm just telling you what it says. All right, Okay, 619 00:30:31,440 --> 00:30:34,760 Speaker 2: I can open. My wife made me resubscribe to Netflix, 620 00:30:35,680 --> 00:30:37,440 Speaker 2: so now I have Netflix again, So now I can't 621 00:30:37,480 --> 00:30:37,800 Speaker 2: watch it. 622 00:30:37,920 --> 00:30:40,120 Speaker 3: Yeah, IMDb says eight point four. That's pretty good. 623 00:30:40,360 --> 00:30:43,280 Speaker 2: All right, all right, trust me on this one. You'll 624 00:30:43,320 --> 00:30:45,120 Speaker 2: love all right. I'll put it on the I'll put 625 00:30:45,160 --> 00:30:46,920 Speaker 2: it on the list. I'll put it on the list. 626 00:30:48,120 --> 00:30:50,240 Speaker 2: One thing that it'll be curious to see if there's 627 00:30:50,360 --> 00:30:54,760 Speaker 2: enough outcry for the penny, to see if any future 628 00:30:54,760 --> 00:30:57,560 Speaker 2: administration tries to reboot the penny. I hope they don't. 629 00:30:58,240 --> 00:30:59,440 Speaker 2: It's been time to get rid of the penny for 630 00:30:59,480 --> 00:31:00,880 Speaker 2: a long time. Love to get rid of the nickel 631 00:31:00,880 --> 00:31:03,240 Speaker 2: and dime too, and just do quarters. That's all I 632 00:31:03,240 --> 00:31:06,440 Speaker 2: want to see. But it won't happen. But the penny 633 00:31:07,240 --> 00:31:11,280 Speaker 2: final print happens, and they do an auction at the 634 00:31:12,480 --> 00:31:18,600 Speaker 2: at the Philadelphia Mint and one of the two hundred 635 00:31:18,600 --> 00:31:22,360 Speaker 2: and thirty two threepenny coin sets. The coin sets involve 636 00:31:24,080 --> 00:31:26,880 Speaker 2: two circulating pennies, one from each of the Mint's facilities 637 00:31:26,920 --> 00:31:29,480 Speaker 2: in Philadelphia, one from Denver, and a twenty four carrot 638 00:31:29,520 --> 00:31:36,240 Speaker 2: gold uncirculated penny that was minted in Philadelphia. One of 639 00:31:35,720 --> 00:31:43,440 Speaker 2: the sets sold for eight hundred thousand dollars for three pennies. 640 00:31:44,440 --> 00:31:48,160 Speaker 2: It also includes the stamps, by the way, but eight 641 00:31:48,280 --> 00:31:52,200 Speaker 2: hundred thousand dollars for penny. I got buddies that are like, oh, 642 00:31:52,240 --> 00:31:54,040 Speaker 2: they're gonna cancel the penny. Should I start saving them 643 00:31:54,080 --> 00:31:57,040 Speaker 2: and go no? No, They're like, oh, they might be 644 00:31:57,080 --> 00:31:58,800 Speaker 2: worth something. I go, they might be worth like three 645 00:31:58,840 --> 00:31:59,960 Speaker 2: cents in eighty year. 646 00:32:01,560 --> 00:32:05,600 Speaker 3: I don't know. And some somebody just spent eight hundred 647 00:32:05,640 --> 00:32:10,480 Speaker 3: thousand dollars for pennies. I guess it's it's. 648 00:32:11,680 --> 00:32:14,520 Speaker 2: It's better than some of those what was the crypto 649 00:32:14,640 --> 00:32:15,800 Speaker 2: spinoff thing that we had? 650 00:32:17,160 --> 00:32:20,560 Speaker 3: The what was that? 651 00:32:20,600 --> 00:32:24,080 Speaker 2: The pictures of the poorly drawn frog that was going 652 00:32:24,200 --> 00:32:28,640 Speaker 2: or whatever it was. It's hard to keep track, you know. 653 00:32:28,640 --> 00:32:29,600 Speaker 3: What I'm talking about, Tony? 654 00:32:30,520 --> 00:32:32,400 Speaker 2: If I just is it late at night on a Friday, 655 00:32:32,400 --> 00:32:33,600 Speaker 2: and I just need to call it a show? 656 00:32:34,800 --> 00:32:35,160 Speaker 3: All right? 657 00:32:35,240 --> 00:32:38,320 Speaker 2: Good call? I love you guys, you're the best. I'm 658 00:32:38,320 --> 00:32:41,360 Speaker 2: back on Sunday, and I'll talk to you guys next week. 659 00:32:41,400 --> 00:32:42,960 Speaker 2: You are Fantastic. 660 00:32:42,520 --> 00:32:46,640 Speaker 1: Conway Show on demand on the iHeartRadio app. Now, you 661 00:32:46,680 --> 00:32:49,760 Speaker 1: can always hear us live on kf I am sixty 662 00:32:49,920 --> 00:32:53,840 Speaker 1: four to seven pm Monday through Friday, and anytime on 663 00:32:53,920 --> 00:32:56,400 Speaker 1: demand on the iHeart Radio app