1 00:00:00,040 --> 00:00:03,520 Speaker 1: Hey, bananimals, This is Kurt. This is Banana Boy number two. 2 00:00:03,560 --> 00:00:04,320 Speaker 1: Scotty Landis. 3 00:00:04,480 --> 00:00:06,800 Speaker 2: Before we get to the episode, we just wanted to 4 00:00:06,920 --> 00:00:09,240 Speaker 2: take a moment to address the June twenty fourth, twenty 5 00:00:09,320 --> 00:00:13,280 Speaker 2: twenty two Supreme Court decision to overturn Roe versus Wade. 6 00:00:13,400 --> 00:00:15,640 Speaker 1: We feel that everyone should have the freedom to decide 7 00:00:15,680 --> 00:00:18,520 Speaker 1: what is best for themselves and their families, including when 8 00:00:18,560 --> 00:00:20,920 Speaker 1: it comes to ending a pregnancy, and we stand by that. 9 00:00:21,280 --> 00:00:25,119 Speaker 2: This decision has dire consequences for individual health and safety 10 00:00:25,160 --> 00:00:29,480 Speaker 2: and could have harsh repercussions for other landmark decisions. Restricting 11 00:00:29,600 --> 00:00:34,640 Speaker 2: access to comprehensive reproductive care, including abortion, threatens the health 12 00:00:34,680 --> 00:00:36,640 Speaker 2: and independence of all Americans. 13 00:00:36,960 --> 00:00:40,640 Speaker 1: So educate yourself. You can learn more by visiting Choice 14 00:00:40,720 --> 00:00:46,800 Speaker 1: dot cr D dot co. That's Choice dot CRD dot co. 15 00:00:47,520 --> 00:00:49,879 Speaker 2: If you're able to support others, please consider donating to 16 00:00:49,920 --> 00:00:50,800 Speaker 2: abortion funds. 17 00:00:50,920 --> 00:00:53,160 Speaker 1: The Banana Boys encourage you to speak up, take care 18 00:00:53,200 --> 00:00:57,440 Speaker 1: of yourselves, and spread the good word. Here it is, Oh, 19 00:00:57,600 --> 00:00:58,320 Speaker 1: hit me with it. 20 00:00:59,480 --> 00:01:04,640 Speaker 2: This one's you'll see a company wants to turn celebrities 21 00:01:04,680 --> 00:01:09,039 Speaker 2: into lab grown salami and it is perfectly possible. 22 00:01:09,680 --> 00:01:14,520 Speaker 1: Oh okay, I didn't know well, let's cut off a 23 00:01:14,520 --> 00:01:16,960 Speaker 1: little slice of the blizz pit that we all call 24 00:01:17,319 --> 00:01:23,480 Speaker 1: bananas your world. 25 00:01:23,280 --> 00:01:24,000 Speaker 2: US. 26 00:01:31,319 --> 00:01:47,800 Speaker 3: Billion pieces, guys, guys, a non binary pals. Welcome to 27 00:01:48,360 --> 00:01:52,320 Speaker 3: Binanas that I'm looking at him right now. His name 28 00:01:52,360 --> 00:01:54,320 Speaker 3: is Scotty Landis. He's one of my favorite guys in 29 00:01:54,360 --> 00:01:56,160 Speaker 3: the whole entire goddamn universe. 30 00:01:56,520 --> 00:01:59,520 Speaker 1: And there he is in his hotel room in Madison, Wisconsin, 31 00:02:00,560 --> 00:02:03,800 Speaker 1: a consummate professional who will podcast from anywhere on Earth 32 00:02:03,800 --> 00:02:06,400 Speaker 1: as long as he has a microphone and recording device. 33 00:02:06,960 --> 00:02:09,760 Speaker 1: He's here for you, the one and know only Kurt Brown. 34 00:02:09,480 --> 00:02:14,280 Speaker 2: Older Scottie. One thing we do have to say. We're 35 00:02:14,280 --> 00:02:18,960 Speaker 2: gonna We're gonna talk up Brooklyn Bell House shows and 36 00:02:19,080 --> 00:02:23,560 Speaker 2: New Jersey Bell Out. These are the last Banana Boys shows. Yeah, 37 00:02:23,720 --> 00:02:29,000 Speaker 2: schedules on the books, Asbury Park, New Jersey, Brooklyn, New York. 38 00:02:29,520 --> 00:02:32,440 Speaker 1: Gotta get there. We got it. Let's let's do it. 39 00:02:32,520 --> 00:02:37,079 Speaker 2: Let's sell those shows out July fourteenth, July seventeenth. They're 40 00:02:37,080 --> 00:02:39,280 Speaker 2: gonna be great. Oh, we're gonna have a very special 41 00:02:39,320 --> 00:02:40,600 Speaker 2: poster on sale there. 42 00:02:40,880 --> 00:02:41,880 Speaker 1: Yes we are. Yes. 43 00:02:42,000 --> 00:02:48,120 Speaker 2: Megan Turbott, this great artist from Philly is making a 44 00:02:48,240 --> 00:02:50,120 Speaker 2: very cool poster for us. It's kind of gonna be 45 00:02:50,120 --> 00:02:52,360 Speaker 2: like an evergreen poster, so hopefully we'll be able to 46 00:02:52,400 --> 00:02:56,240 Speaker 2: sell it at a lot of shows. It's hand drawn, 47 00:02:56,320 --> 00:02:58,080 Speaker 2: it's beautiful. It's gonna be really fun. 48 00:02:58,160 --> 00:03:00,680 Speaker 1: So come on out to those shows. Scotty to the Beach, 49 00:03:01,120 --> 00:03:03,120 Speaker 1: Come hang out at the beach, Come to Brooklyn. Our 50 00:03:03,120 --> 00:03:05,200 Speaker 1: Brooklyn show last time was sold out and it was 51 00:03:05,320 --> 00:03:07,760 Speaker 1: so many people, and it was a party and it 52 00:03:07,840 --> 00:03:10,520 Speaker 1: was so fun. Rod Ranger was there. It was just 53 00:03:10,639 --> 00:03:13,160 Speaker 1: a night. It was a night for New York City. 54 00:03:13,200 --> 00:03:13,800 Speaker 1: We were back. 55 00:03:13,880 --> 00:03:16,640 Speaker 2: I like the you say Rod Dranger, like everybody knows 56 00:03:16,720 --> 00:03:17,639 Speaker 2: who Rodrake. 57 00:03:17,760 --> 00:03:19,640 Speaker 1: Gotta come and find out. If you want to know 58 00:03:19,680 --> 00:03:22,359 Speaker 1: who Rod Ranger is, you gotta put some buttson seats. 59 00:03:22,400 --> 00:03:24,040 Speaker 1: But he might have just been. 60 00:03:24,320 --> 00:03:27,919 Speaker 2: He might just be the most famous juicy fruit act 61 00:03:27,919 --> 00:03:30,080 Speaker 2: commercial actor ever from the seventies. 62 00:03:30,120 --> 00:03:32,040 Speaker 1: But maybe he's not. Maybe he's not anymore. 63 00:03:32,280 --> 00:03:34,680 Speaker 2: We'll find gotta come to Brooklyn and find out Rod 64 00:03:34,800 --> 00:03:36,800 Speaker 2: Ranger might show up again. 65 00:03:37,320 --> 00:03:40,200 Speaker 1: Yeah, I'm so good. Life's good. I mean, I uh, 66 00:03:41,400 --> 00:03:46,880 Speaker 1: I'm feeling positive. I'm booking travel for for those shows. 67 00:03:46,920 --> 00:03:48,880 Speaker 1: I actually just got off with Delta. 68 00:03:49,360 --> 00:03:52,880 Speaker 2: Hell yeah, did you get to pay three times a 69 00:03:52,960 --> 00:03:53,800 Speaker 2: normal fare. 70 00:03:53,880 --> 00:03:57,520 Speaker 1: Scott it, that's right, gonna break even on these bad boys. 71 00:03:57,560 --> 00:04:00,080 Speaker 1: But I don't do it for the month. I do 72 00:04:00,120 --> 00:04:03,920 Speaker 1: it for the Bananamals and I always will. Yeah, just 73 00:04:04,360 --> 00:04:08,520 Speaker 1: you know, normal life. Hot in La. Spider season is over. 74 00:04:09,280 --> 00:04:11,920 Speaker 1: It rained two nights ago, which people in La it's 75 00:04:11,920 --> 00:04:12,720 Speaker 1: a thunderstorm. 76 00:04:12,880 --> 00:04:16,440 Speaker 2: It was I, as a person who grew up on 77 00:04:16,480 --> 00:04:19,040 Speaker 2: the East Coast, I'm very familiar with the thunderstorm. In 78 00:04:19,080 --> 00:04:22,120 Speaker 2: the middle of the night, I woke up and I 79 00:04:22,240 --> 00:04:27,600 Speaker 2: was like someone's rolling a chair back and forth along 80 00:04:27,640 --> 00:04:29,560 Speaker 2: the roof. Like I was just sleepy, and I was like, 81 00:04:29,600 --> 00:04:31,880 Speaker 2: what is happening? And Laura was like, I had to 82 00:04:31,960 --> 00:04:35,039 Speaker 2: google it. There is a thunderstorm right now. I'm like, 83 00:04:35,160 --> 00:04:36,360 Speaker 2: this is crazy. 84 00:04:36,720 --> 00:04:37,359 Speaker 1: It was crazy. 85 00:04:37,400 --> 00:04:40,000 Speaker 2: And the dog was shaking so much that the bed 86 00:04:40,240 --> 00:04:42,919 Speaker 2: was shaking, and so I had like take the dog 87 00:04:43,080 --> 00:04:45,320 Speaker 2: into the living room and like sleep with her on 88 00:04:45,360 --> 00:04:47,640 Speaker 2: the couch so she would just like relax for a second. 89 00:04:48,680 --> 00:04:51,000 Speaker 2: But man, that was intense. I haven't heard that like 90 00:04:51,080 --> 00:04:52,479 Speaker 2: that in a very long time. 91 00:04:52,680 --> 00:04:54,720 Speaker 1: A good friend of mine and I think a listener 92 00:04:54,720 --> 00:04:58,440 Speaker 1: of the pod Melissa, she and her partner got a 93 00:04:58,560 --> 00:05:00,440 Speaker 1: used sailboat a little while ago, so we take it 94 00:05:00,520 --> 00:05:02,919 Speaker 1: sailing sometimes, but they offered this week. They were like, 95 00:05:02,960 --> 00:05:04,880 Speaker 1: do you want to sail to Catalina? And I had 96 00:05:04,880 --> 00:05:07,160 Speaker 1: a lot of I have work stuff, I'm currently writing 97 00:05:07,279 --> 00:05:10,120 Speaker 1: and had pitches and stuff, so it's like I can't. 98 00:05:10,240 --> 00:05:12,240 Speaker 1: But they were out there in that sailboat and I 99 00:05:12,279 --> 00:05:15,120 Speaker 1: have to call because they were they were moored off 100 00:05:15,160 --> 00:05:18,359 Speaker 1: of an island during that ripping thunderstorm and I haven't 101 00:05:18,360 --> 00:05:20,920 Speaker 1: heard from them yet, so hopefully they didn't get their 102 00:05:21,000 --> 00:05:22,680 Speaker 1: bowels rocked out of their booties. 103 00:05:24,080 --> 00:05:27,960 Speaker 2: It must have been intent for real, and there's like 104 00:05:28,080 --> 00:05:29,000 Speaker 2: just nowhere you can go. 105 00:05:29,120 --> 00:05:33,360 Speaker 1: You're in a boat in the middle of the ocean. Yeah, yeah, 106 00:05:33,480 --> 00:05:35,360 Speaker 1: you're not going to like row ashore. You're gonna get 107 00:05:35,400 --> 00:05:38,320 Speaker 1: swept away. So anyways, I can't wait to have that 108 00:05:38,320 --> 00:05:42,240 Speaker 1: that heated text exchange. You want to hear that? All good? 109 00:05:42,440 --> 00:05:45,159 Speaker 1: All good man? You want to hear about this stuff? 110 00:05:45,200 --> 00:05:45,440 Speaker 2: Man? 111 00:05:45,560 --> 00:05:48,479 Speaker 1: Oh, I cannot wait to laugh at this. Okay. 112 00:05:48,600 --> 00:05:51,880 Speaker 2: So this was sent in by Christa Findlay Egerton. 113 00:05:52,080 --> 00:05:54,520 Speaker 1: Thank you, Krista great name. Great name. 114 00:05:54,680 --> 00:05:59,160 Speaker 2: Sent into The Banana's Instagram account The Bananas Podcast. It's 115 00:05:59,200 --> 00:06:02,200 Speaker 2: on Instagram. Find send it to us. Here it is 116 00:06:02,240 --> 00:06:07,320 Speaker 2: the title again from IFL Science. It's real a company 117 00:06:07,600 --> 00:06:11,480 Speaker 2: wants to turn celebrities into lab grown salami. 118 00:06:12,120 --> 00:06:13,400 Speaker 1: Okay, here it is. 119 00:06:13,760 --> 00:06:19,839 Speaker 2: Uh, this is James Felton Selton, staff writer at I 120 00:06:20,080 --> 00:06:21,520 Speaker 2: fucking Love Science. 121 00:06:22,040 --> 00:06:26,479 Speaker 1: They never give their writers credit. Yeah, so they started. 122 00:06:27,000 --> 00:06:28,080 Speaker 1: That's how good he is. 123 00:06:29,200 --> 00:06:33,000 Speaker 2: James gets it. He is the best in some of 124 00:06:33,040 --> 00:06:35,839 Speaker 2: the businesses that are with journalists. 125 00:06:36,600 --> 00:06:39,839 Speaker 1: Ever. Wonder what Kanye West or Ellen DeGeneres tastes like. 126 00:06:40,240 --> 00:06:43,800 Speaker 1: Not really, Nope, that is I thought of the least 127 00:06:43,839 --> 00:06:46,920 Speaker 1: in the world. I have probably the same. 128 00:06:47,000 --> 00:06:52,080 Speaker 2: Honestly, Well, there's a lab meat company out there who 129 00:06:52,120 --> 00:06:56,200 Speaker 2: is just as curious about the forbidden meat princ celebrities 130 00:06:56,279 --> 00:06:59,640 Speaker 2: as you are. None of these sentences are anything anyone 131 00:06:59,720 --> 00:07:01,039 Speaker 2: actually wants to know. 132 00:07:01,560 --> 00:07:01,960 Speaker 1: Correct. 133 00:07:02,279 --> 00:07:06,720 Speaker 2: Byte Labs produces fine arteasonal salami from meat that has 134 00:07:06,800 --> 00:07:11,520 Speaker 2: been lab grown from celebrity tissue samples. The company says 135 00:07:11,640 --> 00:07:16,960 Speaker 2: on its website to quote today, in vitro meat production 136 00:07:17,080 --> 00:07:21,080 Speaker 2: is close to becoming a reality, offering highly controllable meat 137 00:07:21,120 --> 00:07:24,920 Speaker 2: production without the animal cruelty, waste, and environmental impacts of 138 00:07:24,960 --> 00:07:28,480 Speaker 2: industrial farming. But this process can offer so much more 139 00:07:28,920 --> 00:07:32,960 Speaker 2: than replicas of beef and pork. Bitte Labs says, and 140 00:07:33,080 --> 00:07:35,480 Speaker 2: by quote so much more, they mean, quote, we would 141 00:07:35,520 --> 00:07:39,520 Speaker 2: like to collect myosatellite cells from celebrities and then turn 142 00:07:39,560 --> 00:07:40,560 Speaker 2: them into salami. 143 00:07:41,000 --> 00:07:42,240 Speaker 1: This is fucking crazy. 144 00:07:45,000 --> 00:07:48,000 Speaker 2: The firm even has a social share buttons to make 145 00:07:48,000 --> 00:07:52,240 Speaker 2: it easy for you to send a parenthetically vaguely threatening 146 00:07:52,480 --> 00:07:56,240 Speaker 2: request to the celebrity you would like to sausage. We're 147 00:07:56,280 --> 00:07:58,520 Speaker 2: gonna pause here and say yes. We definitely thought this 148 00:07:58,640 --> 00:08:01,840 Speaker 2: was a hoax or perhaps a satire of tech startups, 149 00:08:02,200 --> 00:08:05,600 Speaker 2: but if the company's earnest interviews with Vice and Slate 150 00:08:05,640 --> 00:08:08,360 Speaker 2: are anything to go by, they are serious about going 151 00:08:08,400 --> 00:08:12,320 Speaker 2: through with it. Quote to develop celebrity meat. That's a 152 00:08:13,160 --> 00:08:16,120 Speaker 2: that's that's in capital. We're working with a group of 153 00:08:16,160 --> 00:08:19,200 Speaker 2: bio engineers and food designers, most of which have requested 154 00:08:19,240 --> 00:08:23,240 Speaker 2: to remain anonymous due to the controversial nature of the product. 155 00:08:23,320 --> 00:08:26,840 Speaker 2: Kevin from bite Labs told Slate, Kevin doesn't worry. Kevin's 156 00:08:26,880 --> 00:08:31,680 Speaker 2: not out there being anonymous. It's just Kevin the cannibal 157 00:08:33,120 --> 00:08:36,240 Speaker 2: stick nose right in it. We've gotten some responses from 158 00:08:36,240 --> 00:08:39,400 Speaker 2: people offering us biopsies, but no one on the level 159 00:08:39,480 --> 00:08:40,800 Speaker 2: of our Big four yet. 160 00:08:40,960 --> 00:08:44,920 Speaker 1: Oh man, can you imagine a Big four? Oh? No, 161 00:08:46,600 --> 00:08:49,319 Speaker 1: Jennifer Lawrence is one of them. Hold. 162 00:08:49,360 --> 00:08:51,160 Speaker 2: Most of the response have been very positive, but of 163 00:08:51,160 --> 00:08:53,240 Speaker 2: course some people are a bit uncomfortable with the idea 164 00:08:53,240 --> 00:08:55,280 Speaker 2: of bite labs. We think that's only to be expected 165 00:08:55,280 --> 00:08:58,199 Speaker 2: when we talk about pushing the boundaries of tech and society. 166 00:08:59,120 --> 00:09:01,880 Speaker 2: The company has thought far enough ahead to plan potential 167 00:09:01,920 --> 00:09:05,040 Speaker 2: recipes should the celebrities be up for their cells being 168 00:09:05,040 --> 00:09:08,160 Speaker 2: grown and turned into mass produced sausages. The j Law 169 00:09:08,280 --> 00:09:11,920 Speaker 2: Salami will be complimented by a mixture of rabbit and pork. Okay, 170 00:09:11,960 --> 00:09:14,640 Speaker 2: so it's not just straight up human meat. It's more 171 00:09:14,720 --> 00:09:16,479 Speaker 2: like a rabbit and pork sausage. 172 00:09:16,760 --> 00:09:17,760 Speaker 1: Still pretty gross. 173 00:09:18,440 --> 00:09:22,560 Speaker 2: A charming and confident flavor profile, the jaylaslamis coarse ground 174 00:09:22,559 --> 00:09:25,520 Speaker 2: in a rustic style, smooth with notes of honey, and 175 00:09:25,559 --> 00:09:29,440 Speaker 2: spiced with orange, zest and ginger. Always surprising, this salami 176 00:09:29,440 --> 00:09:35,200 Speaker 2: will never fail to entertain. Meanwhile, quote Hungarian paprika and 177 00:09:35,520 --> 00:09:39,520 Speaker 2: Worcester sauce give Kanye an underlying smokiness, spiked up with 178 00:09:39,640 --> 00:09:43,840 Speaker 2: hints of jalapeno meat they described as best paired with bourbon. 179 00:09:44,960 --> 00:09:48,600 Speaker 2: The idea is obviously caused what The ideas obviously cause 180 00:09:48,679 --> 00:09:51,640 Speaker 2: mixed feelings on social media between people who are a 181 00:09:51,640 --> 00:09:54,959 Speaker 2: bit grossed out by the idea and people who are cannibals. 182 00:09:59,600 --> 00:10:02,640 Speaker 2: Recent researchs found that people are often grossed out by 183 00:10:02,679 --> 00:10:06,520 Speaker 2: the idea of eating lab cultured meat from traditionally eating animals, 184 00:10:06,720 --> 00:10:08,760 Speaker 2: So it's no surprise there's an ick factor when it 185 00:10:08,800 --> 00:10:12,640 Speaker 2: comes to consuming celebrities, even if they're named John ham Boom. 186 00:10:12,760 --> 00:10:15,480 Speaker 1: That's why he's best in the biz. All right, pretty funny, 187 00:10:15,520 --> 00:10:16,280 Speaker 1: pretty funny. 188 00:10:16,320 --> 00:10:18,200 Speaker 2: While it may be better for the environment, if you 189 00:10:18,200 --> 00:10:21,640 Speaker 2: serve it at a buffet, expect to have to ask, babes, 190 00:10:21,640 --> 00:10:25,079 Speaker 2: are you okay? You've barely touched your Alec Baldwin salami. 191 00:10:28,160 --> 00:10:32,240 Speaker 1: Babes, I know, St Stephen Baldwin salami. I'm laughing, man, 192 00:10:32,600 --> 00:10:36,679 Speaker 1: that's it, Billie Baldwin. I'm on the floor. I'm r 193 00:10:36,800 --> 00:10:38,200 Speaker 1: O F. L oh Man. 194 00:10:38,360 --> 00:10:43,360 Speaker 2: Nobody, Nobody wants to eat Alec Baldwin. The company itself 195 00:10:43,360 --> 00:10:45,880 Speaker 2: touts the environmental benefits of eating, for example, the cast 196 00:10:45,960 --> 00:10:46,720 Speaker 2: of Dalton Abbey. 197 00:10:46,920 --> 00:10:51,200 Speaker 1: What that's crazy. It's like a hickory farm sampler. But 198 00:10:51,240 --> 00:10:54,800 Speaker 1: it's the I kind of like that, like give my 199 00:10:54,920 --> 00:10:58,240 Speaker 1: parents a downton arm variety pack, the old beef stick, 200 00:10:58,440 --> 00:11:01,480 Speaker 1: the honey mustard. That's cool. 201 00:11:02,320 --> 00:11:05,719 Speaker 2: Uh, so they're saying celebrity meat production requires less than 202 00:11:05,760 --> 00:11:08,760 Speaker 2: one percent of the amount of land needed for traditional farming. 203 00:11:10,120 --> 00:11:12,520 Speaker 2: While a noble goal and much more humane than growing 204 00:11:12,520 --> 00:11:15,360 Speaker 2: Alec Baldwin's on a farm, it appears that they have 205 00:11:15,520 --> 00:11:18,000 Speaker 2: not yet had any success getting stars on board with 206 00:11:18,040 --> 00:11:22,280 Speaker 2: the projects as of yet, this keeps going on. 207 00:11:22,800 --> 00:11:25,440 Speaker 1: I bet Charlie's would have done it. Yeah, I bet you. 208 00:11:25,480 --> 00:11:27,679 Speaker 1: She's going for anything. That's why she's so cool. That's 209 00:11:27,679 --> 00:11:30,679 Speaker 1: why she's number one on the call sheet. The big 210 00:11:30,760 --> 00:11:35,360 Speaker 1: four were Jennifer Lawrence, Kanye West Allen and somebody and 211 00:11:35,440 --> 00:11:40,920 Speaker 1: Alec Baldwin. I guess does suck Jennifer Lawrence. Sure everybody 212 00:11:40,920 --> 00:11:43,280 Speaker 1: would take a nibble of Jennifer Lawrence. But the rest 213 00:11:43,280 --> 00:11:45,959 Speaker 1: of those those are Harry styles. You gotta have Harry 214 00:11:45,960 --> 00:11:50,960 Speaker 1: styles in there. They sell out. Yeah. Beyonce, everything she 215 00:11:51,080 --> 00:11:57,080 Speaker 1: touches turns to and clooney, A clooney ballooney. Ooh, baloney 216 00:11:57,960 --> 00:12:01,000 Speaker 1: pairs well with a lemon cello a color a colony 217 00:12:01,080 --> 00:12:04,000 Speaker 1: baloney colooney below all right, anyway, just when he does 218 00:12:04,240 --> 00:12:06,320 Speaker 1: when he did, like that an espresso ad or he 219 00:12:06,360 --> 00:12:09,839 Speaker 1: did some like espresso or whatever. When Clooney does that, 220 00:12:09,840 --> 00:12:12,600 Speaker 1: it has to be just to buy one thing specifically, 221 00:12:12,720 --> 00:12:14,600 Speaker 1: right right, yes, exactly. He has to do that to 222 00:12:14,600 --> 00:12:16,760 Speaker 1: be like I want a Chrisscraft boat. If I go 223 00:12:16,840 --> 00:12:19,079 Speaker 1: in there, yep, I get it, Or like I saw 224 00:12:19,120 --> 00:12:21,960 Speaker 1: a Picasso that's for sale. It's three million dollars, so 225 00:12:21,960 --> 00:12:25,679 Speaker 1: I'm going to press really hard with an espresso or whatever. 226 00:12:25,720 --> 00:12:28,120 Speaker 1: It was like, there's no way he just he doesn't 227 00:12:28,160 --> 00:12:29,400 Speaker 1: need the money. He doesn't. 228 00:12:29,760 --> 00:12:36,040 Speaker 2: It is whenever Ice one, whenever I see celebrities doing commercials, 229 00:12:36,040 --> 00:12:39,679 Speaker 2: I'm always just like, why, yeah, you're you don't need 230 00:12:39,720 --> 00:12:43,160 Speaker 2: the money, Like what like every celebrity who has over 231 00:12:43,160 --> 00:12:46,480 Speaker 2: one hundred million dollars every commercial they do, that money 232 00:12:46,600 --> 00:12:47,600 Speaker 2: should just have. 233 00:12:47,520 --> 00:12:49,960 Speaker 1: To go directly to a charity of their choice. 234 00:12:50,160 --> 00:12:53,240 Speaker 2: I agree, right, that's the only way that It's like 235 00:12:53,280 --> 00:12:56,400 Speaker 2: every time I see fucking somebody huge on a commercial, 236 00:12:56,400 --> 00:13:00,360 Speaker 2: I'm like, eat shit, eat shit, because all so there's 237 00:13:00,400 --> 00:13:03,440 Speaker 2: people like I don't know, is me, yes, me, yeah, 238 00:13:03,559 --> 00:13:05,920 Speaker 2: trying to get fucking commercial gigs so I can feed 239 00:13:06,000 --> 00:13:06,800 Speaker 2: my children. 240 00:13:07,280 --> 00:13:08,920 Speaker 1: But yeah, I mean that's what a lot of people. 241 00:13:09,200 --> 00:13:10,880 Speaker 1: A lot of the listeners might not know, but when 242 00:13:10,920 --> 00:13:14,719 Speaker 1: you're sort of a new or middle level talent out 243 00:13:14,760 --> 00:13:17,520 Speaker 1: in LA, commercials can really be your lifeblood. And it 244 00:13:17,600 --> 00:13:19,439 Speaker 1: used to be that you could get one campaign. Hey 245 00:13:19,440 --> 00:13:21,440 Speaker 1: you got that Macy's campaign, Hey you got that American 246 00:13:21,480 --> 00:13:23,880 Speaker 1: Express thing, and it's life changing. It's like, oh, now 247 00:13:23,920 --> 00:13:26,000 Speaker 1: I can do the other projects I want and hopefully 248 00:13:26,040 --> 00:13:29,600 Speaker 1: make it. But yeah, when when Kristin Shawl and Rich 249 00:13:29,880 --> 00:13:33,000 Speaker 1: and I were in Tokyo for Near's Eve six years 250 00:13:33,040 --> 00:13:35,880 Speaker 1: ago or so, we were laughing. We texted you, I 251 00:13:35,880 --> 00:13:39,800 Speaker 1: think or we might have called you, and we were 252 00:13:39,840 --> 00:13:43,240 Speaker 1: walking around and it made me laugh. Every single street 253 00:13:43,280 --> 00:13:46,560 Speaker 1: corner because they have tea vending machines like cans of 254 00:13:46,559 --> 00:13:50,560 Speaker 1: green tea, Jasmine tea, Earl Gray tea, like every type 255 00:13:50,600 --> 00:13:53,160 Speaker 1: of delicious tea you can buy in mini cans. We 256 00:13:53,240 --> 00:13:56,000 Speaker 1: tried literally every single one over the week we were there. 257 00:13:56,240 --> 00:13:59,280 Speaker 1: But the celebrity endorsement and the person on every vending 258 00:13:59,320 --> 00:14:05,800 Speaker 1: machine Tommy Lee Jones, I don't Jones Apparently that hour 259 00:14:06,240 --> 00:14:07,480 Speaker 1: and Wrinkly. 260 00:14:09,679 --> 00:14:12,040 Speaker 2: Apparently that is a big thing for like A listers 261 00:14:12,080 --> 00:14:14,680 Speaker 2: to only do they do commercials in other countries so 262 00:14:14,760 --> 00:14:17,559 Speaker 2: it doesn't like it doesn't look bad for them in America, 263 00:14:17,600 --> 00:14:20,200 Speaker 2: but they still get so much money from these other countries. 264 00:14:20,600 --> 00:14:23,120 Speaker 1: Yeah, it was so funny. Good old Tommy Lee Jones 265 00:14:23,160 --> 00:14:25,600 Speaker 1: like nothing when you're when you're like, oh man, I'm parched. 266 00:14:25,920 --> 00:14:28,680 Speaker 1: You know who doesn't look parched. Tommy Lee Jones, the 267 00:14:28,760 --> 00:14:31,920 Speaker 1: driest faced man I've ever seen in my life. Literally 268 00:14:32,000 --> 00:14:34,960 Speaker 1: looks like a brown paper bag got wet and then 269 00:14:35,040 --> 00:14:38,440 Speaker 1: dried in the sun and then was in no country 270 00:14:38,440 --> 00:14:41,120 Speaker 1: for oldening. I remember, so I did commercials. 271 00:14:41,200 --> 00:14:44,000 Speaker 2: I auditioned for commercials, like right when I first started 272 00:14:44,000 --> 00:14:47,560 Speaker 2: doing comedy, like at twenty two, and then like from 273 00:14:47,600 --> 00:14:49,960 Speaker 2: twenty two to like I don't know, twenty eight, I 274 00:14:50,000 --> 00:14:53,200 Speaker 2: was always auditioning for commercials. And then I just hit 275 00:14:53,240 --> 00:14:54,880 Speaker 2: a place where I was just like, I'm too busy 276 00:14:54,880 --> 00:14:57,160 Speaker 2: with other stuff. I can't go to all these commercial auditions. 277 00:14:57,200 --> 00:14:59,600 Speaker 2: So I stopped at me for commercials. And then it 278 00:14:59,640 --> 00:15:03,200 Speaker 2: comes back around when you have kids, because then I 279 00:15:03,240 --> 00:15:06,520 Speaker 2: was like, oh, I have a family, now I now 280 00:15:06,640 --> 00:15:09,720 Speaker 2: need to go back to auditioning for commercials. And it's 281 00:15:09,760 --> 00:15:12,840 Speaker 2: like it hurt my, like you walk in for people 282 00:15:12,840 --> 00:15:15,760 Speaker 2: who don't know. It's like walking into a commercial like 283 00:15:15,800 --> 00:15:17,920 Speaker 2: it's changed since the pandemic, but before the pandemic, it 284 00:15:17,920 --> 00:15:18,960 Speaker 2: we'd be like, walk in. 285 00:15:19,440 --> 00:15:23,480 Speaker 1: Paint your picture. It is how long are you driving 286 00:15:23,520 --> 00:15:24,000 Speaker 1: to get there? 287 00:15:24,040 --> 00:15:26,040 Speaker 2: You're driving forty five minutes to get there. It's always 288 00:15:26,040 --> 00:15:27,240 Speaker 2: in fucking Santa Monica. 289 00:15:27,360 --> 00:15:28,040 Speaker 1: You get there. 290 00:15:28,360 --> 00:15:32,240 Speaker 2: It is three hundred people jammed into a space that 291 00:15:32,280 --> 00:15:35,720 Speaker 2: should only have two hundred and fifty. Everyone's sitting on 292 00:15:35,840 --> 00:15:41,120 Speaker 2: the most uncomfortable tiny little like like like just flat 293 00:15:41,200 --> 00:15:43,920 Speaker 2: board on the ground, right next to each other. And 294 00:15:43,960 --> 00:15:47,440 Speaker 2: then it's just people like there's two there's three types 295 00:15:47,440 --> 00:15:49,880 Speaker 2: of people who are auditioning for commercials. There's the kids 296 00:15:49,880 --> 00:15:54,239 Speaker 2: who are twenty two. They are psyched, they're so excited 297 00:15:54,520 --> 00:16:00,200 Speaker 2: and they cannot stop doing fucking bits with each other, loud, 298 00:16:00,520 --> 00:16:04,400 Speaker 2: dumb bits, and they're all competing with each other to 299 00:16:04,440 --> 00:16:07,200 Speaker 2: be who can be louder and dumber. And then there's 300 00:16:07,560 --> 00:16:11,200 Speaker 2: me and guys like me who have families and are 301 00:16:11,320 --> 00:16:15,280 Speaker 2: just vaguely embarrassed to be there, headphones in, not speaking 302 00:16:15,320 --> 00:16:18,440 Speaker 2: to anyone, just like when will this be over? And 303 00:16:18,600 --> 00:16:22,440 Speaker 2: then there's the children, And then my heart goes out 304 00:16:22,440 --> 00:16:26,040 Speaker 2: to the children. It is these parents bringing children in 305 00:16:26,160 --> 00:16:29,440 Speaker 2: after school to audition, and then these kids, like you 306 00:16:29,440 --> 00:16:32,600 Speaker 2: don't have a fully formed idea of the world, and 307 00:16:32,640 --> 00:16:35,640 Speaker 2: then to have this audition process, which already as an 308 00:16:35,680 --> 00:16:40,280 Speaker 2: adult I know is disgusting. It sucks so much. To 309 00:16:40,360 --> 00:16:43,640 Speaker 2: then put children into it is just like it is. 310 00:16:43,760 --> 00:16:48,120 Speaker 2: It breaks my heart. So the whole experience, the best 311 00:16:48,200 --> 00:16:51,080 Speaker 2: you can hope for out of the experience is obviously 312 00:16:51,080 --> 00:16:53,440 Speaker 2: booking a commercial, but for the most part is to 313 00:16:53,520 --> 00:16:57,240 Speaker 2: walk out not thinking humanity is doomed. Like I know, 314 00:16:57,320 --> 00:16:59,720 Speaker 2: if you come out on an even if you go 315 00:16:59,800 --> 00:17:02,720 Speaker 2: in feeling great and come out just not feeling anything, 316 00:17:03,240 --> 00:17:06,440 Speaker 2: you're doing great because otherwise great, you're coming out feely, 317 00:17:06,480 --> 00:17:07,840 Speaker 2: like depressed afterwards. 318 00:17:07,880 --> 00:17:09,879 Speaker 1: That's right, Well, good for you. I saw you and 319 00:17:09,960 --> 00:17:12,879 Speaker 1: Kelly Clarkson. How many apple boxes was she standing on? 320 00:17:13,119 --> 00:17:15,840 Speaker 1: Like three? Yeah? Yeah, She's like at your height and 321 00:17:15,880 --> 00:17:20,000 Speaker 1: I'm like, how is this possible? Oh? That's pretty funny. 322 00:17:20,040 --> 00:17:22,879 Speaker 1: There was a on an episode season one of Adam 323 00:17:22,960 --> 00:17:27,040 Speaker 1: Vine's House Party, which I believe is streaming on Paramount Plus. 324 00:17:27,680 --> 00:17:30,920 Speaker 1: We had a great episode. It was a really funny episode. 325 00:17:31,040 --> 00:17:32,760 Speaker 1: For those people who've never seen the show, it's a 326 00:17:32,800 --> 00:17:35,879 Speaker 1: stand up comedy show with a scripted element, so first 327 00:17:35,920 --> 00:17:38,800 Speaker 1: time or like comics can basically come on and do 328 00:17:38,840 --> 00:17:41,320 Speaker 1: their first acting work and their first television sea episodes. 329 00:17:41,320 --> 00:17:43,159 Speaker 1: So if you love stand up, go watch House Party. 330 00:17:43,359 --> 00:17:45,720 Speaker 1: But season one we did one called Lady Troopers, which 331 00:17:45,760 --> 00:17:48,640 Speaker 1: was how we didn't get sued for talking about girl Scouts. 332 00:17:48,840 --> 00:17:52,920 Speaker 1: The idea is Adams staring a giant house party with booze, sex, drugs, 333 00:17:53,800 --> 00:17:55,840 Speaker 1: and then the girl Scouts show up to sell cookies, 334 00:17:56,080 --> 00:17:58,399 Speaker 1: and instead of kicking them away, he puts them to 335 00:17:58,480 --> 00:18:01,040 Speaker 1: work and they become these great dominions for him running 336 00:18:01,040 --> 00:18:03,520 Speaker 1: around the party and the Lady Troopers are doing everything nice, 337 00:18:03,680 --> 00:18:07,840 Speaker 1: and there's this great scene where they're they're like really 338 00:18:07,840 --> 00:18:11,040 Speaker 1: sad at the end. And we had this actress named 339 00:18:11,080 --> 00:18:14,880 Speaker 1: Storm Reid who is probably ten years old, maybe eight 340 00:18:14,960 --> 00:18:17,320 Speaker 1: years old. She's since gone on. She was the star 341 00:18:17,359 --> 00:18:19,879 Speaker 1: in the Wrinkling Time movie. I think she's on euphoria. 342 00:18:19,920 --> 00:18:22,760 Speaker 1: She's actually like a true actress now, but she was 343 00:18:22,960 --> 00:18:26,199 Speaker 1: great at eight years old and she Their whole thing 344 00:18:26,240 --> 00:18:27,720 Speaker 1: is they wanted to try beer, So we did this 345 00:18:27,800 --> 00:18:30,639 Speaker 1: huge beer funnel scene where like these ten like Lady 346 00:18:30,680 --> 00:18:33,280 Speaker 1: Troopers just get down and are dancing and drinking beer 347 00:18:33,280 --> 00:18:37,560 Speaker 1: and breaking sugar glass bottles over each other's head. John Milheiser, 348 00:18:37,600 --> 00:18:40,320 Speaker 1: our good buddy, former SNL guy, was the guy pouring 349 00:18:40,359 --> 00:18:43,399 Speaker 1: the beer and Ada. It was so fun. But in 350 00:18:43,440 --> 00:18:45,959 Speaker 1: the audition for Storm's role, you know, we have like 351 00:18:46,040 --> 00:18:48,800 Speaker 1: thirty child actors come through, and like you said, sometimes 352 00:18:48,800 --> 00:18:51,200 Speaker 1: it's like, oh, you can just feel the parents pushing 353 00:18:51,280 --> 00:18:55,360 Speaker 1: them too hard. Yeah, and then some they got it. 354 00:18:55,440 --> 00:19:00,399 Speaker 1: They got it at six years old. Crazy, it's already counted. Dorms. 355 00:19:00,440 --> 00:19:02,680 Speaker 1: Thing was she was mixing Margarita's in the middle of 356 00:19:02,720 --> 00:19:05,040 Speaker 1: the episode for and handing them out to all the comics. 357 00:19:05,080 --> 00:19:07,240 Speaker 1: I think she gives one. I can't remember the comic 358 00:19:07,359 --> 00:19:10,840 Speaker 1: she gives it to. Uh, but she just her line was, 359 00:19:10,960 --> 00:19:13,360 Speaker 1: now tell me that's not the best Dann Margarita You've 360 00:19:13,400 --> 00:19:17,560 Speaker 1: ever had. And she says it with such adult sass 361 00:19:18,160 --> 00:19:21,440 Speaker 1: and conviction that we were like, well, she's going to 362 00:19:21,480 --> 00:19:23,840 Speaker 1: be a movie star, and then she is. She made 363 00:19:23,880 --> 00:19:25,520 Speaker 1: it like even at eight years old, you were like, 364 00:19:25,640 --> 00:19:28,600 Speaker 1: it is so weird, isn't it. She was, don't tell 365 00:19:28,640 --> 00:19:30,840 Speaker 1: me that's not the best Dan Margarite you've ever had. 366 00:19:31,640 --> 00:19:35,439 Speaker 2: I remember for Kristin Shall, she did this hour for 367 00:19:35,560 --> 00:19:39,160 Speaker 2: Comedy Central, where yes, she wanted to do this bit 368 00:19:39,200 --> 00:19:42,199 Speaker 2: where she gets heckled by a child and then like 369 00:19:42,800 --> 00:19:45,040 Speaker 2: she doesn't know what to say, so she says like, oh, 370 00:19:45,080 --> 00:19:46,800 Speaker 2: well you think you could do better, and then the 371 00:19:46,880 --> 00:19:49,280 Speaker 2: kid gets up and does like stand up better than 372 00:19:49,280 --> 00:19:54,000 Speaker 2: her Russia's and what I wrote on it, you wrote 373 00:19:54,000 --> 00:19:55,800 Speaker 2: on it too, right, Yeah. 374 00:19:55,320 --> 00:19:56,840 Speaker 1: And I was there. 375 00:19:56,880 --> 00:19:59,679 Speaker 2: We were there for auditions and it was just like 376 00:20:00,320 --> 00:20:05,119 Speaker 2: this, this this the the girl who booked it was more 377 00:20:05,160 --> 00:20:09,040 Speaker 2: professional than I have ever been in my entire life. 378 00:20:09,080 --> 00:20:11,439 Speaker 2: It was like she just like came up. She like 379 00:20:11,480 --> 00:20:13,840 Speaker 2: crushed every line, did stand up like she had been 380 00:20:13,840 --> 00:20:16,159 Speaker 2: doing stand up for a while, and then was just 381 00:20:16,200 --> 00:20:18,320 Speaker 2: like thank you, very nice to meet you. I can't 382 00:20:18,359 --> 00:20:20,560 Speaker 2: remember her name, like shook my hand and I was 383 00:20:20,640 --> 00:20:23,760 Speaker 2: just like, this is the the littlest professional. 384 00:20:24,040 --> 00:20:28,800 Speaker 1: Well, thank you professional. I'm impressed by you. Yeah, I 385 00:20:28,840 --> 00:20:30,720 Speaker 1: love it. She was funny and then her catchphrase was 386 00:20:30,840 --> 00:20:33,680 Speaker 1: like boom nailed it or something. She'd like say the 387 00:20:33,760 --> 00:20:37,199 Speaker 1: Juck and Blake boom nailed it. And like, you know, 388 00:20:37,480 --> 00:20:40,000 Speaker 1: I wonder if she became anything. Yeah, we should look 389 00:20:40,000 --> 00:20:44,040 Speaker 1: her up. I got one for you. You give it 390 00:20:44,080 --> 00:20:51,080 Speaker 1: to me. Sent in by kilm Sarah studyfines dot Org. 391 00:20:51,359 --> 00:20:54,200 Speaker 1: We've used them before, and this is written by John 392 00:20:54,560 --> 00:20:59,240 Speaker 1: Onder her name to say, but just because John's got 393 00:20:59,280 --> 00:21:01,160 Speaker 1: a tough last name doesn't mean he's not the best 394 00:21:01,160 --> 00:21:04,360 Speaker 1: in the bees wax over here. This is a very 395 00:21:04,400 --> 00:21:08,000 Speaker 1: funny one to me. Drinking a cup of coffee before 396 00:21:08,040 --> 00:21:10,159 Speaker 1: shopping may lead you to spend more money. 397 00:21:10,200 --> 00:21:13,560 Speaker 2: Oh interesting, Yeah, Oh I believe it. 398 00:21:14,000 --> 00:21:17,080 Speaker 1: Tampa. That's how the article starts, which is so perfect 399 00:21:17,080 --> 00:21:22,800 Speaker 1: it's insane. Tampa. What a town if you like steakhouses, 400 00:21:22,840 --> 00:21:26,679 Speaker 1: offing dentists and strip clubs. Boy, have I got a 401 00:21:26,680 --> 00:21:30,959 Speaker 1: town for you, Tampa Bay, Florida. Coffee and credit cards 402 00:21:31,000 --> 00:21:33,520 Speaker 1: may be a financial planner's where it's nightmare, According to 403 00:21:33,600 --> 00:21:37,920 Speaker 1: researchers from University of South Florida. Scientists report shoppers who 404 00:21:37,960 --> 00:21:41,479 Speaker 1: sip a complimentary cup of coffee before shopping end up 405 00:21:41,520 --> 00:21:46,320 Speaker 1: spending fifty percent more money and buying thirty percent more 406 00:21:46,440 --> 00:21:52,560 Speaker 1: items than their non caffeinated counterparts. Oh that's fascinating. Fifty 407 00:21:52,600 --> 00:21:57,560 Speaker 1: percent fifty that's a lot more. I'm no mathematician, but 408 00:21:57,680 --> 00:22:02,679 Speaker 1: it sounds like that's like a lot more. Thirty percent 409 00:22:02,720 --> 00:22:04,640 Speaker 1: more items too, Like if you think of a full 410 00:22:04,720 --> 00:22:07,040 Speaker 1: grocery cart and you fill another one up a third, 411 00:22:07,240 --> 00:22:12,080 Speaker 1: that's a lot of shit. Yeah. Quote. Caffeine, a powerful stimulant, 412 00:22:12,119 --> 00:22:15,240 Speaker 1: releases dopamine in the brain, which excites the mind and body. 413 00:22:15,320 --> 00:22:19,320 Speaker 1: You're telling me this leads to a higher energetic state, 414 00:22:19,359 --> 00:22:24,760 Speaker 1: which in turn enhances impulsivity and decreases self control. Isn't 415 00:22:24,800 --> 00:22:28,960 Speaker 1: this interesting? Yeah, this is fascinating, says lead study author 416 00:22:29,040 --> 00:22:32,560 Speaker 1: Depai in Bisois, the Frank Harvey and Dawd Professor of 417 00:22:32,600 --> 00:22:36,280 Speaker 1: Marketing at USF. As a result, caffeine intake leads to 418 00:22:36,320 --> 00:22:39,720 Speaker 1: shopping impulsivity in terms of higher number of items purchase 419 00:22:39,840 --> 00:22:42,600 Speaker 1: and greater spending. To reach these finding this is the 420 00:22:42,640 --> 00:22:46,240 Speaker 1: best part. I used to do college stuff like test 421 00:22:46,400 --> 00:22:48,080 Speaker 1: They would be like twenty dollars and then they would 422 00:22:48,119 --> 00:22:50,919 Speaker 1: do like sociology majors would test us and stuff. I 423 00:22:50,960 --> 00:22:54,040 Speaker 1: love doing it at colle so fun. And that just 424 00:22:54,080 --> 00:22:55,520 Speaker 1: reminded me of a couple stories that I was not 425 00:22:55,560 --> 00:22:58,400 Speaker 1: going to talk about. To reach its findings, researchers set 426 00:22:58,440 --> 00:23:00,520 Speaker 1: up and express a machine at the entry ANDAs of 427 00:23:00,600 --> 00:23:04,200 Speaker 1: retail chain and home goods stores in France. Some people 428 00:23:04,200 --> 00:23:07,639 Speaker 1: say France as well as a department store in Spain. 429 00:23:08,119 --> 00:23:11,560 Speaker 1: Upon entering those stores, over three hundred shoppers received a 430 00:23:11,600 --> 00:23:15,439 Speaker 1: complimentary cup with nothing in it. Yet, about half of 431 00:23:15,480 --> 00:23:19,000 Speaker 1: those shoppers ordered a coffee containing about one hundred milligrams 432 00:23:19,000 --> 00:23:22,240 Speaker 1: of caffeine. So that's like a tall Starbucks coffee's worth 433 00:23:22,280 --> 00:23:22,840 Speaker 1: of caffeine. 434 00:23:22,920 --> 00:23:25,320 Speaker 2: Yeah, it's not a ton. It's not like you're not 435 00:23:25,359 --> 00:23:27,360 Speaker 2: going to be like wired depending on. 436 00:23:27,320 --> 00:23:30,080 Speaker 1: Really though, a Red Bull's eighty milligram, So just to 437 00:23:30,080 --> 00:23:32,760 Speaker 1: give you an ideas, it's you know, it's definitely enough 438 00:23:32,800 --> 00:23:35,480 Speaker 1: to put a little pep in your stuff. Okay. The 439 00:23:35,520 --> 00:23:38,719 Speaker 1: other half went with either DCAF coffee or a complimentary 440 00:23:38,800 --> 00:23:42,840 Speaker 1: cup of water. Importantly, the customers who shared their shopping 441 00:23:42,840 --> 00:23:47,200 Speaker 1: receipts with researchers as they exited the store. Sure Enough, 442 00:23:47,520 --> 00:23:51,359 Speaker 1: people who drank caffeinated coffee purchased a significantly higher amount 443 00:23:51,359 --> 00:23:54,199 Speaker 1: of items and spent more money. It also seems to 444 00:23:54,240 --> 00:23:58,040 Speaker 1: influence the type of items people by. Shoppers who drank 445 00:23:58,040 --> 00:24:01,480 Speaker 1: caffeine bought more non essential items like candle's fragrances, et 446 00:24:01,520 --> 00:24:04,440 Speaker 1: cetera than the others. However, there were few differences among 447 00:24:04,520 --> 00:24:08,040 Speaker 1: caffeinated and decaffeinated shoppers when it came to making more 448 00:24:08,119 --> 00:24:13,840 Speaker 1: utilitarian purchases kitchen utensil storage baskets. So they conducted a 449 00:24:13,880 --> 00:24:16,200 Speaker 1: fourth experiment in the lab, testing the impact of caffeine 450 00:24:16,200 --> 00:24:19,480 Speaker 1: online shopping. They separated a group of two hundred business 451 00:24:19,520 --> 00:24:23,760 Speaker 1: school students depending on whether they drank caffeinated or decaffeinated coffee. 452 00:24:24,040 --> 00:24:26,280 Speaker 1: Each person had to pick which items they would buy 453 00:24:26,600 --> 00:24:28,879 Speaker 1: from a list of sixty six So two hundred students 454 00:24:28,960 --> 00:24:33,720 Speaker 1: sixty six items, half caffeinated, half not. Again, the people 455 00:24:33,800 --> 00:24:41,000 Speaker 1: drinking caffeine bought impulsive items like massagers. They're like, yeah, 456 00:24:41,040 --> 00:24:43,480 Speaker 1: they're all fucking tense. They just got like tense stuff 457 00:24:43,520 --> 00:24:46,520 Speaker 1: for the caffeine. They're like, I got a fucking relax man. Yeah, 458 00:24:46,520 --> 00:24:48,920 Speaker 1: I gotta chill the f out or yeah, or they're 459 00:24:48,960 --> 00:24:51,640 Speaker 1: just revved up in the other way the list, while 460 00:24:51,640 --> 00:24:54,320 Speaker 1: the others chose more practical goods like notebooks, I mean, 461 00:24:54,480 --> 00:24:59,800 Speaker 1: talk about nerds last sentence. While moderate amounts of caffeine 462 00:24:59,800 --> 00:25:03,240 Speaker 1: into can have positive health benefits, there can be unintended 463 00:25:03,280 --> 00:25:07,320 Speaker 1: consequences of being overly caffeated while shopping. That is, consumers 464 00:25:07,359 --> 00:25:11,320 Speaker 1: trying to control impulsive spending should avoid consuming caffeated Beverages 465 00:25:11,359 --> 00:25:15,639 Speaker 1: before Shopping is published in the Journal of Marketing. Is 466 00:25:15,640 --> 00:25:17,280 Speaker 1: that fascinating? It is fascinating. 467 00:25:17,359 --> 00:25:21,640 Speaker 2: I mean, already, these two stories in this episode are 468 00:25:21,680 --> 00:25:23,600 Speaker 2: two of my favorite stories we've ever covered. 469 00:25:23,640 --> 00:25:26,639 Speaker 1: I'm loving a roaring start. We have food, we have 470 00:25:26,760 --> 00:25:30,639 Speaker 1: the BEVs. I haven't done an animal story yet. It's amazing. 471 00:25:31,119 --> 00:25:36,159 Speaker 1: Don't worry, it's coming. So this wasn't the story I 472 00:25:36,200 --> 00:25:38,480 Speaker 1: was going to talk about. But in college, so you 473 00:25:38,600 --> 00:25:42,959 Speaker 1: mess had a big food sciences and big communications departments, 474 00:25:43,000 --> 00:25:44,920 Speaker 1: and so they would occasionally put out things in the 475 00:25:44,920 --> 00:25:47,280 Speaker 1: school paper or I guess we got email blasts too 476 00:25:47,280 --> 00:25:49,679 Speaker 1: that were like twenty five dollars for an hour and 477 00:25:49,720 --> 00:25:52,520 Speaker 1: you go and you try five different types of ketchup 478 00:25:52,600 --> 00:25:55,080 Speaker 1: or whatever. But one night, my buddies were like, hey, 479 00:25:55,080 --> 00:25:57,960 Speaker 1: there's a thing. It's for media studies, and I think 480 00:25:58,280 --> 00:26:02,560 Speaker 1: everybody that participated got forty for an hour and a half. 481 00:26:02,560 --> 00:26:04,520 Speaker 1: You don't know what you're doing, so you show up, 482 00:26:04,560 --> 00:26:06,160 Speaker 1: and then all my buddies and we all got separated. 483 00:26:06,160 --> 00:26:07,760 Speaker 1: We all got put in different classrooms. So I was 484 00:26:07,800 --> 00:26:10,040 Speaker 1: in there with about ten people I didn't know, and 485 00:26:10,280 --> 00:26:14,520 Speaker 1: the teacher's assistant and professor's assistant or whatever. It's like, thanks, guys. 486 00:26:14,600 --> 00:26:17,840 Speaker 1: So we're just gonna air you an episode of television 487 00:26:17,880 --> 00:26:20,240 Speaker 1: they've never seen before, hopefully, and we're gonna give you 488 00:26:20,240 --> 00:26:22,840 Speaker 1: a question at the end. And that's it. So forty 489 00:26:22,840 --> 00:26:24,639 Speaker 1: bucks to watch an episode TV. So they put on 490 00:26:24,680 --> 00:26:29,080 Speaker 1: Seventh Heaven, which was like ABC Family show with Jessica Beale. 491 00:26:29,119 --> 00:26:32,119 Speaker 1: I think it was HERR show. It's kind of a 492 00:26:32,200 --> 00:26:35,600 Speaker 1: Christian ye type of real goodie type of show. And 493 00:26:35,680 --> 00:26:39,760 Speaker 1: so it starts in like ten minutes in this guy 494 00:26:39,840 --> 00:26:44,399 Speaker 1: goes bullshit and I'm like, what this is weird? Like 495 00:26:44,600 --> 00:26:46,560 Speaker 1: one of the people, one of the college students, and 496 00:26:46,600 --> 00:26:49,960 Speaker 1: the teacher's like excuse me, and he goes, this episode 497 00:26:50,000 --> 00:26:53,960 Speaker 1: is bullshit. So suddenly my mind goes to this part 498 00:26:54,000 --> 00:26:57,320 Speaker 1: of experience. This is a social experiment about being distracted 499 00:26:57,320 --> 00:27:01,000 Speaker 1: while watching television. So we keep watching and then like 500 00:27:01,080 --> 00:27:03,320 Speaker 1: some corny thing will happen. It goes to commercial break 501 00:27:03,359 --> 00:27:07,320 Speaker 1: and this guy's going like Jesus fucking Christ, and I'm like, 502 00:27:07,560 --> 00:27:12,240 Speaker 1: all right, I like this this is psychological experimentation. Yeah, 503 00:27:12,640 --> 00:27:14,440 Speaker 1: so we watched the end. We get the thing. There's 504 00:27:14,480 --> 00:27:16,480 Speaker 1: like four or five questions about how it made you 505 00:27:16,520 --> 00:27:19,080 Speaker 1: feel blah, blah blah. Do you see the moral dilemma? 506 00:27:19,119 --> 00:27:21,159 Speaker 1: It would you watch this show again? What did you like? 507 00:27:21,200 --> 00:27:23,760 Speaker 1: What didn't you like? Filled out sending in go out. 508 00:27:24,320 --> 00:27:26,800 Speaker 1: My friend watched Sopranos, the other friend watched something else. 509 00:27:26,840 --> 00:27:28,639 Speaker 1: The other friend watched something else. That guy was just 510 00:27:28,640 --> 00:27:31,479 Speaker 1: an asshole. He had nothing to do with it. That 511 00:27:31,520 --> 00:27:35,280 Speaker 1: guy just couldn't stand forty seven minutes of Seventh Heaven 512 00:27:35,400 --> 00:27:38,600 Speaker 1: and just cuss the forty dollars and you couldn't even 513 00:27:38,600 --> 00:27:40,800 Speaker 1: handle it. I told my friends. They were like, no, 514 00:27:40,880 --> 00:27:43,359 Speaker 1: we all just watched the Sopranos pilot and I'm like, 515 00:27:43,400 --> 00:27:46,639 Speaker 1: what like walking back this guy every five minutes to 516 00:27:46,720 --> 00:27:50,800 Speaker 1: be like fuck this show? And so this guy's just 517 00:27:50,800 --> 00:27:53,160 Speaker 1: an asshole. Oh but do you know that they could 518 00:27:53,160 --> 00:27:57,000 Speaker 1: have been the controls? True right, they could have been 519 00:27:57,040 --> 00:27:58,840 Speaker 1: like I got forty bucks. Either way, it. 520 00:27:59,119 --> 00:28:03,680 Speaker 2: Doesn't matter that. It's always like, oh man, what is it? 521 00:28:03,960 --> 00:28:07,320 Speaker 2: There's I've I've heard about, like a study. There's two 522 00:28:07,359 --> 00:28:09,440 Speaker 2: studies I heard about that I think are really fascinating. 523 00:28:09,480 --> 00:28:13,040 Speaker 2: One is they showed people an episode of I think 524 00:28:13,160 --> 00:28:16,119 Speaker 2: it was I think it was Friends or Seinfeld, Okay, 525 00:28:16,160 --> 00:28:19,520 Speaker 2: and they sewed it to them without commercials. That was 526 00:28:19,560 --> 00:28:22,399 Speaker 2: the control group, and then with the other group, they 527 00:28:22,440 --> 00:28:27,720 Speaker 2: showed them the same episode of a sitcom but with commercials, 528 00:28:28,240 --> 00:28:30,679 Speaker 2: and then the and then they had them you know, 529 00:28:30,760 --> 00:28:33,880 Speaker 2: ask them. The people who watch it with commercials enjoyed 530 00:28:33,920 --> 00:28:38,400 Speaker 2: it more, wow, because there was something they disliked in 531 00:28:38,520 --> 00:28:41,040 Speaker 2: the middle in between the parts that they liked, So 532 00:28:41,080 --> 00:28:44,640 Speaker 2: it made them appreciate the show part more because they 533 00:28:44,640 --> 00:28:48,720 Speaker 2: had something that they disliked to compare it to interesting. 534 00:28:48,280 --> 00:28:50,640 Speaker 1: Isn't that interesting to get that? Sure? That makes sense. 535 00:28:51,000 --> 00:28:52,840 Speaker 2: And then they had another one where they where they 536 00:28:52,880 --> 00:28:54,760 Speaker 2: were like doing a test and this is so sneaky. 537 00:28:54,800 --> 00:28:56,800 Speaker 2: They did something to make people think that that was 538 00:28:56,840 --> 00:28:59,560 Speaker 2: the test, like that was the study. And then just 539 00:28:59,680 --> 00:29:02,320 Speaker 2: on a way out, they were like, thank you so 540 00:29:02,440 --> 00:29:03,120 Speaker 2: much for your time. 541 00:29:03,400 --> 00:29:05,240 Speaker 1: There's a here's a bowl. There's a bowl of. 542 00:29:05,200 --> 00:29:08,680 Speaker 2: Candies there, take as many as you want and uh. 543 00:29:08,720 --> 00:29:11,320 Speaker 2: And from the and from the test, they knew how 544 00:29:11,360 --> 00:29:12,880 Speaker 2: much money each person made. 545 00:29:14,080 --> 00:29:15,720 Speaker 1: And then the rich people took. 546 00:29:15,640 --> 00:29:19,120 Speaker 2: Know where this is going, like handfuls of candy, and 547 00:29:19,160 --> 00:29:21,640 Speaker 2: the poor people would take like one piece of candy 548 00:29:21,880 --> 00:29:23,120 Speaker 2: or they wouldn't touch it at all. 549 00:29:24,040 --> 00:29:27,200 Speaker 1: Boy, I hope the meek inherit the earth because these 550 00:29:27,280 --> 00:29:32,600 Speaker 1: rich guys got to go. That sucks. I before you 551 00:29:32,640 --> 00:29:34,680 Speaker 1: and I were banana boys way back in the day. 552 00:29:34,680 --> 00:29:36,640 Speaker 1: Do you remember the story about the guy that woke 553 00:29:36,760 --> 00:29:41,400 Speaker 1: up from a coma, a really long coma to the 554 00:29:41,400 --> 00:29:44,960 Speaker 1: Seinfeld intro song or commercial break song. It makes me 555 00:29:45,080 --> 00:29:48,120 Speaker 1: laugh every single time I hear Seinfeld because it's that 556 00:29:48,200 --> 00:29:51,680 Speaker 1: baselape by Barron. Yeah. Yeah, so some guy was in 557 00:29:51,720 --> 00:29:53,840 Speaker 1: a coma and like a family members visiting him and 558 00:29:53,880 --> 00:29:58,040 Speaker 1: turned the TV on his room and Seinfeld's comes on 559 00:29:58,160 --> 00:30:01,040 Speaker 1: and he just wakes up out of a coma. After years. Yeah, 560 00:30:01,320 --> 00:30:04,880 Speaker 1: what that was all that had to happen. Yes, that's 561 00:30:04,920 --> 00:30:07,320 Speaker 1: so crazy, Oh my god, it so. 562 00:30:07,440 --> 00:30:10,120 Speaker 2: Like so it lives on some deep, deep lizard part 563 00:30:10,160 --> 00:30:14,320 Speaker 2: of the brain. I remember in Baltimore when I when 564 00:30:14,360 --> 00:30:17,560 Speaker 2: I was in college, speaking of doing tests in college, 565 00:30:17,920 --> 00:30:24,080 Speaker 2: I lived across the street from two dudes, Skeeter and Cornbread, 566 00:30:24,560 --> 00:30:29,240 Speaker 2: and they were always together. Skeeter and Cornbread always hung 567 00:30:29,240 --> 00:30:34,000 Speaker 2: out together. Skeeter was very tall and quiet and Cornbread 568 00:30:34,080 --> 00:30:37,040 Speaker 2: was short and very I would always do the talking. 569 00:30:37,800 --> 00:30:41,800 Speaker 2: Cornbread also only rode around on like a little kid's bike, 570 00:30:41,880 --> 00:30:43,959 Speaker 2: like a child's like for an eight year old. It 571 00:30:44,000 --> 00:30:47,200 Speaker 2: was purple like a huffey and you would just like 572 00:30:47,240 --> 00:30:49,280 Speaker 2: see like there's corn bread and you just like zoom by. 573 00:30:49,760 --> 00:30:53,480 Speaker 2: But they and they knew we were college they weren't 574 00:30:53,560 --> 00:30:55,920 Speaker 2: they you know, they lived in the neighborhood. They knew 575 00:30:55,960 --> 00:30:59,120 Speaker 2: we were college students because we lived off campus and 576 00:30:59,360 --> 00:31:01,720 Speaker 2: uh so on they and they and they always had 577 00:31:01,760 --> 00:31:04,320 Speaker 2: like stuff they were trying to sell us, and so 578 00:31:04,400 --> 00:31:07,160 Speaker 2: it would always be like Friday night at like ten pm. 579 00:31:07,240 --> 00:31:09,240 Speaker 2: They knew we would be like a little drunk and 580 00:31:09,360 --> 00:31:11,480 Speaker 2: we like knock on the door, open the door and 581 00:31:11,560 --> 00:31:13,920 Speaker 2: be like, hey, what's up. Corn Bread and Skeeter and 582 00:31:14,040 --> 00:31:16,400 Speaker 2: Cornbread would be like, I got a great TV for you. 583 00:31:16,560 --> 00:31:19,600 Speaker 2: It's five dollars, and we'd be like, Cornbread, we this 584 00:31:19,640 --> 00:31:21,640 Speaker 2: is the third TV we bought from you, and the 585 00:31:21,680 --> 00:31:22,760 Speaker 2: other two don't work. 586 00:31:24,160 --> 00:31:25,560 Speaker 1: And he would never take them back. 587 00:31:25,600 --> 00:31:27,680 Speaker 2: He's just like this one works, a promise, go plug 588 00:31:27,720 --> 00:31:31,600 Speaker 2: it in, you'll see, you know. And so eventually after 589 00:31:31,880 --> 00:31:33,840 Speaker 2: because all we wanted to do was watch the Simpsons. 590 00:31:33,880 --> 00:31:36,560 Speaker 2: Simpsons were on at like seven PM in the summertime, 591 00:31:37,080 --> 00:31:40,840 Speaker 2: and so by the time we had left, by the 592 00:31:40,880 --> 00:31:43,920 Speaker 2: time we had like moved out. We had four TVs 593 00:31:43,960 --> 00:31:47,840 Speaker 2: stacked on top of each other. One was the volume, 594 00:31:48,280 --> 00:31:50,600 Speaker 2: and one was only in black and white, and then 595 00:31:50,640 --> 00:31:54,880 Speaker 2: one was in color. So the big one had a picture, 596 00:31:55,160 --> 00:31:57,120 Speaker 2: and then the little one was the volume for the 597 00:31:57,120 --> 00:31:58,680 Speaker 2: big one, And so we just put them all on 598 00:31:58,720 --> 00:32:01,120 Speaker 2: the same channel and then it's seven turn them all on. 599 00:32:01,800 --> 00:32:06,800 Speaker 1: So good, aspiring writers, these are the details to set 600 00:32:06,880 --> 00:32:10,080 Speaker 1: your worlds apart. That is so good, Katie. Let's call 601 00:32:10,120 --> 00:32:13,520 Speaker 1: this episode Skeeter and Cornbread. Yeah, actually it would be 602 00:32:13,560 --> 00:32:16,240 Speaker 1: cornbread and Skeeter. That is how we cornbread and Skeeter. Yeah. 603 00:32:16,360 --> 00:32:20,080 Speaker 1: Here it is tees us into these fine, fine advertisements. 604 00:32:20,600 --> 00:32:25,200 Speaker 2: Jonathan the blind gay sex craze giant tortoise is now 605 00:32:25,240 --> 00:32:26,920 Speaker 2: the oldest to have ever lived. 606 00:32:27,400 --> 00:32:30,800 Speaker 1: All right, Johnny, Well, let's blow out some candles when 607 00:32:30,800 --> 00:33:00,920 Speaker 1: we come back with more. But it does around, folks. 608 00:33:00,920 --> 00:33:04,760 Speaker 2: We are back on Bananas and we've got a very 609 00:33:04,800 --> 00:33:05,600 Speaker 2: special guest. 610 00:33:06,360 --> 00:33:07,120 Speaker 1: Yes we do. 611 00:33:07,560 --> 00:33:12,400 Speaker 2: Everyone, please welcome to the show again, uh intern but 612 00:33:12,520 --> 00:33:14,520 Speaker 2: also full human Lisa Maggot. 613 00:33:15,040 --> 00:33:16,160 Speaker 4: Hello everybody. 614 00:33:16,560 --> 00:33:19,440 Speaker 1: Oh Lisa, it's so glad. We're very glad to have 615 00:33:19,560 --> 00:33:23,640 Speaker 1: you back on the Bananas Podcast. How are you thrilled 616 00:33:23,680 --> 00:33:30,520 Speaker 1: to be here. It was a very human response group. Lisa, 617 00:33:30,760 --> 00:33:34,160 Speaker 1: thanks so we you. What did you have a little 618 00:33:34,200 --> 00:33:35,760 Speaker 1: a special segment for us, don't you? 619 00:33:36,320 --> 00:33:41,320 Speaker 4: I do I have a segment. I am now calling reading. 620 00:33:41,000 --> 00:33:48,160 Speaker 1: Reviews again, full human being. This is not a robot, definitely. 621 00:33:47,680 --> 00:33:49,920 Speaker 4: Not a robot. 622 00:33:51,040 --> 00:33:54,520 Speaker 1: The bananimals. You send us so many great reviews, especially 623 00:33:54,560 --> 00:33:57,720 Speaker 1: on Apple Podcasts, we thought it would be nice to 624 00:33:57,720 --> 00:34:00,440 Speaker 1: acknowledge some of you that gave us good review We 625 00:34:00,480 --> 00:34:03,160 Speaker 1: don't read bad reviews. You can stick those joyfully up 626 00:34:03,160 --> 00:34:05,640 Speaker 1: your dairy air. But yeah, Lisa is going to come 627 00:34:05,640 --> 00:34:07,840 Speaker 1: on and read some of your hit reviews. So thank you. 628 00:34:08,760 --> 00:34:10,719 Speaker 1: Go for it, Lisa, take it away. 629 00:34:10,680 --> 00:34:15,839 Speaker 4: All right. This one is from Ruby Ching. It's bananas 630 00:34:15,920 --> 00:34:16,880 Speaker 4: exclamation mark. 631 00:34:16,760 --> 00:34:16,840 Speaker 1: OK. 632 00:34:17,280 --> 00:34:19,719 Speaker 4: I just want to say thank you for making my commute, 633 00:34:19,800 --> 00:34:23,120 Speaker 4: although shorter, for lack of traffic so much fun. I 634 00:34:23,160 --> 00:34:25,920 Speaker 4: work at a hospital and as a frontliner, I sometimes 635 00:34:26,000 --> 00:34:28,359 Speaker 4: dry driving to work and then feel drained driving home. 636 00:34:28,960 --> 00:34:31,439 Speaker 4: This has been my bright spot to take my mind 637 00:34:31,480 --> 00:34:33,560 Speaker 4: off the craziness of this world. Thank you. 638 00:34:34,960 --> 00:34:38,359 Speaker 1: That's exactly what bananas is for. That's right, Ruby Ching, 639 00:34:38,560 --> 00:34:40,799 Speaker 1: that is a five star review. We're giving you five 640 00:34:40,840 --> 00:34:43,200 Speaker 1: stars right back for being the best in the biz. 641 00:34:44,040 --> 00:34:47,480 Speaker 4: Absolutely this is from JJ Bruski. 642 00:34:48,440 --> 00:34:50,600 Speaker 1: M thank you JJ Bruski. 643 00:34:51,040 --> 00:34:54,480 Speaker 4: It says a welcome break to the constant existential dread 644 00:34:54,520 --> 00:34:59,680 Speaker 4: of every day life. Sure, I cannot adequately put into 645 00:34:59,719 --> 00:35:02,719 Speaker 4: words how important this podcast has become to me. While 646 00:35:02,760 --> 00:35:06,080 Speaker 4: my husband calls my word for word recital the theme 647 00:35:06,239 --> 00:35:09,560 Speaker 4: song creepy and my assertion that I am Banana Boy 648 00:35:09,640 --> 00:35:13,520 Speaker 4: number three coldish, I know my obsession with this podcast 649 00:35:13,600 --> 00:35:17,040 Speaker 4: is completely valid and not at all problem. Thank you 650 00:35:17,120 --> 00:35:20,120 Speaker 4: for giving my life meaning curtain Scottie. I will listen 651 00:35:20,200 --> 00:35:23,280 Speaker 4: every Tuesday until the day I die. Bananimal for life. 652 00:35:23,640 --> 00:35:27,560 Speaker 1: That's fantastic. Well, thank you, Lisa. We love the reviews. 653 00:35:27,680 --> 00:35:29,880 Speaker 1: We're gonna have Lisa coming in and what do we 654 00:35:29,920 --> 00:35:35,160 Speaker 1: call the segment reading reviews. It's you go benam Ben 655 00:35:35,200 --> 00:35:37,680 Speaker 1: Bena be reading reviews. 656 00:35:38,480 --> 00:35:38,839 Speaker 4: Love it. 657 00:35:40,360 --> 00:35:42,960 Speaker 2: Thank you so much, Lisa, And if you guys want 658 00:35:42,960 --> 00:35:45,319 Speaker 2: to leave a review for Lisa to read, go to 659 00:35:46,040 --> 00:35:49,239 Speaker 2: rate bananas dot com r A t e bananas dot com. 660 00:35:49,239 --> 00:35:52,080 Speaker 2: It'll bring you right to the review page on Apple 661 00:35:52,120 --> 00:35:55,719 Speaker 2: Podcast where you can quickly leave a review for the show. 662 00:35:55,760 --> 00:35:59,040 Speaker 2: We would really appreciate lately so much. Lisa you're the best. 663 00:35:59,360 --> 00:36:00,279 Speaker 2: We'll have you back soon. 664 00:36:00,320 --> 00:36:03,400 Speaker 1: All right, thank you, animals. It really is such a 665 00:36:03,400 --> 00:36:06,000 Speaker 1: big deal that you guys leave these reviews. We love it. 666 00:36:06,080 --> 00:36:08,840 Speaker 1: Maybe maybe coming up in July, Curt and I'll do 667 00:36:08,920 --> 00:36:11,279 Speaker 1: that thing where if you leave us a five star 668 00:36:11,360 --> 00:36:13,600 Speaker 1: review of our podcast and you show it to us, 669 00:36:13,600 --> 00:36:15,960 Speaker 1: we'll leave a five star review of your podcast. We'll 670 00:36:15,960 --> 00:36:18,920 Speaker 1: do a little review exchange, a little five for five. 671 00:36:19,080 --> 00:36:22,120 Speaker 2: That sounds great because everybody's got a podcast. 672 00:36:22,480 --> 00:36:25,440 Speaker 1: Hey, I listen to some of our listeners podcasts dms. 673 00:36:25,480 --> 00:36:27,719 Speaker 1: If you give us five star review, we're going to 674 00:36:27,760 --> 00:36:30,200 Speaker 1: give your podcast a five star review. I don't care 675 00:36:30,200 --> 00:36:32,680 Speaker 1: if my fingers bleed, but thank you, Lisa Maggott, our 676 00:36:32,719 --> 00:36:36,800 Speaker 1: beloved full human intern. All right, let's get into this. 677 00:36:36,800 --> 00:36:39,080 Speaker 2: This was sent in by Ellery Scout. 678 00:36:40,680 --> 00:36:40,960 Speaker 1: Thank you. 679 00:36:42,040 --> 00:36:43,839 Speaker 2: It's such a good name, isn't it? 680 00:36:44,680 --> 00:36:45,279 Speaker 1: What a name? 681 00:36:45,400 --> 00:36:50,239 Speaker 2: Also, it's just one sound off of Celery Scout, and 682 00:36:50,360 --> 00:36:53,080 Speaker 2: I love names that are just one sound off of 683 00:36:53,160 --> 00:36:57,839 Speaker 2: a regular name, like Timothy. I think Timothy is the 684 00:36:57,880 --> 00:36:58,640 Speaker 2: funniest name. 685 00:36:58,920 --> 00:37:01,320 Speaker 1: I'm putting it on my list of great names. Ellery Scout, 686 00:37:01,320 --> 00:37:02,720 Speaker 1: you made a list of great names. 687 00:37:02,760 --> 00:37:06,200 Speaker 2: It is right, that's like that's up there with Melissa 688 00:37:06,320 --> 00:37:08,000 Speaker 2: Joyce nutt Ooh. 689 00:37:07,880 --> 00:37:08,960 Speaker 1: She was special. 690 00:37:09,160 --> 00:37:14,560 Speaker 2: Jonathan and Mike Bacon Mike Bacon from Denver, Oh Man, 691 00:37:14,680 --> 00:37:18,480 Speaker 2: Mike Bacon, I love you, Mike Bacon. Jonathan the blind 692 00:37:18,600 --> 00:37:22,600 Speaker 2: gay sex Craze giant tortoise is now the oldest to 693 00:37:22,800 --> 00:37:23,960 Speaker 2: have ever lived. 694 00:37:25,239 --> 00:37:25,479 Speaker 1: Cool. 695 00:37:25,640 --> 00:37:31,640 Speaker 2: This is in Pink News. This was written by Lily Wakefield. 696 00:37:32,200 --> 00:37:35,640 Speaker 2: Oh good, thank you Lily, and this was This came 697 00:37:35,680 --> 00:37:37,799 Speaker 2: out January twenty eighth, twenty twenty two. 698 00:37:37,960 --> 00:37:41,080 Speaker 1: I know in the past we have talked about Jonathan. 699 00:37:41,640 --> 00:37:45,160 Speaker 1: We sure did, but he is now the oldest to 700 00:37:45,239 --> 00:37:47,240 Speaker 1: have ever lived because record breaker. 701 00:37:47,760 --> 00:37:50,279 Speaker 2: Okay, Jonathan and world famous one hundred and ninety year 702 00:37:50,320 --> 00:37:53,920 Speaker 2: old gay giant tortoise and Saint Helena has officially become 703 00:37:53,960 --> 00:37:56,800 Speaker 2: the oldest tortoise to have ever lived. According to the 704 00:37:56,840 --> 00:37:59,479 Speaker 2: Guinness World Records, this year, Jonathan will take the title 705 00:37:59,520 --> 00:38:04,120 Speaker 2: of oldest Chillonian, which just means, ah, like that. 706 00:38:04,160 --> 00:38:07,960 Speaker 1: I really wanted that title. I really wanted the oldest Chillonian. 707 00:38:08,800 --> 00:38:10,560 Speaker 1: We should put that you could be you could be 708 00:38:10,640 --> 00:38:14,239 Speaker 1: oldest chill Onian in a que thank you for seeing me. 709 00:38:14,280 --> 00:38:20,239 Speaker 2: Finally, oldest Chilonian, a category which encompasses turtles, terrapins, and tortoises. 710 00:38:21,200 --> 00:38:25,799 Speaker 2: Before Jonathan, the oldest Chillonian was tuy Malila, a radiated 711 00:38:25,880 --> 00:38:28,480 Speaker 2: tortoise in Tonga who died at the age of one 712 00:38:28,600 --> 00:38:31,920 Speaker 2: eighty eight. Apparently, I kept looking. I was like radiated. 713 00:38:32,200 --> 00:38:35,239 Speaker 2: It's that's the name of their type of tortoise, not 714 00:38:35,640 --> 00:38:36,920 Speaker 2: that she had been. 715 00:38:36,880 --> 00:38:38,280 Speaker 1: Irradiating got nuked. 716 00:38:38,320 --> 00:38:43,600 Speaker 2: Okay right, according to John Wave, Yes, exactly, according to 717 00:38:43,640 --> 00:38:44,759 Speaker 2: Jonathan's personal vet. 718 00:38:44,960 --> 00:38:45,879 Speaker 1: He has a personal vet. 719 00:38:46,200 --> 00:38:48,360 Speaker 2: Despite his old age and the fact that he is 720 00:38:48,400 --> 00:38:51,879 Speaker 2: both blind and without a sense of smell, Jonathan still 721 00:38:51,960 --> 00:38:57,000 Speaker 2: enjoys his three favorite activities, eating, sleeping in sex, heard 722 00:38:57,000 --> 00:39:01,280 Speaker 2: that yep, that should say, and nappin and fucking. 723 00:39:02,239 --> 00:39:02,680 Speaker 1: I agree? 724 00:39:02,960 --> 00:39:05,600 Speaker 2: Jonathan, who roams for come on, pink news. Are we 725 00:39:05,640 --> 00:39:06,319 Speaker 2: not allowed to say? 726 00:39:06,360 --> 00:39:06,640 Speaker 1: Fucking? 727 00:39:07,080 --> 00:39:10,000 Speaker 2: Jonathan, who roams free on the grounds of the official 728 00:39:10,040 --> 00:39:14,120 Speaker 2: residence of Saint Helena's governor with three other giant tortoises, 729 00:39:14,120 --> 00:39:16,719 Speaker 2: made headlines around the world in twenty seventeen when he 730 00:39:16,800 --> 00:39:20,480 Speaker 2: was accidentally outed when his partner, then known as Frederica, 731 00:39:20,520 --> 00:39:22,839 Speaker 2: went for a checkup for a shell lesion. The vet 732 00:39:22,840 --> 00:39:25,640 Speaker 2: discovered that the tortoise was in fact male. Jonathan and 733 00:39:25,640 --> 00:39:28,240 Speaker 2: the thirty one year old tortoise now known as Frederick 734 00:39:28,560 --> 00:39:32,000 Speaker 2: have been together for three decades, and vets say Jonathan's 735 00:39:32,040 --> 00:39:36,080 Speaker 2: libido shows no signs of slowing down. However, Jonathan isn't 736 00:39:36,080 --> 00:39:39,400 Speaker 2: strictly monogamous, and we'll also have sex with Emma, another 737 00:39:39,440 --> 00:39:40,880 Speaker 2: tortoise that roams the grounds. 738 00:39:42,280 --> 00:39:47,560 Speaker 1: So he's bisex coool. David David is britt Yeah, David, 739 00:39:47,600 --> 00:39:49,920 Speaker 1: it's a great name for a tortoise. Is David. 740 00:39:50,000 --> 00:39:53,160 Speaker 2: The fourth tortoise appears to be the only one rejected 741 00:39:53,200 --> 00:39:57,200 Speaker 2: by Jonathan. Wow, So Jonathan is just walking around fucking 742 00:39:57,320 --> 00:40:04,239 Speaker 2: boning anything that moves boulders for Jonathan Ottoman's for fiestas. 743 00:40:05,239 --> 00:40:08,320 Speaker 2: I mean, except for David David for one thing, Jonathan's 744 00:40:08,320 --> 00:40:08,800 Speaker 2: not boning. 745 00:40:10,320 --> 00:40:11,440 Speaker 1: The official. 746 00:40:12,680 --> 00:40:16,319 Speaker 2: The official website of Saint Helena or Helena contains an 747 00:40:16,440 --> 00:40:19,680 Speaker 2: encyclopedic amount of information on Jonathan and clarifies that the 748 00:40:19,719 --> 00:40:22,880 Speaker 2: tortoises date of birth cannet actually be determined. The giant 749 00:40:22,920 --> 00:40:25,319 Speaker 2: tortoise was brought to the island in eighteen eighty two, 750 00:40:25,320 --> 00:40:27,560 Speaker 2: when he was already around fifty years old. There was 751 00:40:27,640 --> 00:40:29,560 Speaker 2: no record of the date he hatched and he could 752 00:40:29,600 --> 00:40:31,640 Speaker 2: even be up to two hundred years old. 753 00:40:32,640 --> 00:40:32,920 Speaker 1: Wow. 754 00:40:33,000 --> 00:40:35,799 Speaker 2: However, due to some misreporting in the media, Wikipedia list 755 00:40:35,880 --> 00:40:39,160 Speaker 2: Jonathan's date of birth as February eighteen thirty two. 756 00:40:39,800 --> 00:40:45,120 Speaker 1: Wow, which some of the thirteen thirty two Wow. That 757 00:40:45,160 --> 00:40:48,320 Speaker 1: guy has been humping for pre Civil war anti bellum 758 00:40:48,920 --> 00:40:50,200 Speaker 1: tortoise humping over there. 759 00:40:50,320 --> 00:40:52,400 Speaker 2: Yeah, and on his birthday they gave him a lettuce 760 00:40:52,440 --> 00:40:53,200 Speaker 2: with a candle. 761 00:40:54,560 --> 00:40:56,920 Speaker 1: I bet he loved it. I bet he'd smell it. 762 00:40:57,000 --> 00:40:59,680 Speaker 1: He couldn't smell it, he couldn't see it. Yeah, so 763 00:40:59,840 --> 00:41:03,479 Speaker 1: I probably burned him. But he ate that lettuce. He's 764 00:41:03,520 --> 00:41:07,520 Speaker 1: a bisexual tortoise, which is so great. He was born 765 00:41:07,560 --> 00:41:12,239 Speaker 1: in the eighteen hundred, so great. He's probably a very 766 00:41:12,320 --> 00:41:15,799 Speaker 1: generous slow lover. I mean, I imagine they make love 767 00:41:15,960 --> 00:41:18,960 Speaker 1: very slowly. I'm sure it takes hours. I'm sure it 768 00:41:18,960 --> 00:41:21,360 Speaker 1: takes ours. That's probably the secret to a long life. 769 00:41:21,360 --> 00:41:25,759 Speaker 1: Sting knew all along. He's a tantric tortoise. Yeah. 770 00:41:25,800 --> 00:41:30,399 Speaker 2: And also if tortoises have sex quickly, I don't want 771 00:41:30,400 --> 00:41:31,120 Speaker 2: to hear about it. 772 00:41:31,360 --> 00:41:33,840 Speaker 1: Nope, you don't not out what I'm picturing. You don't 773 00:41:33,880 --> 00:41:35,160 Speaker 1: have to correct us. 774 00:41:35,640 --> 00:41:38,480 Speaker 2: If you correct us about the length of time tortoise 775 00:41:38,520 --> 00:41:42,600 Speaker 2: has sex. Let us live with some mystery or rather 776 00:41:42,719 --> 00:41:45,880 Speaker 2: two just making up facts. 777 00:41:47,280 --> 00:41:49,240 Speaker 1: I love this guy so much of all the facts 778 00:41:49,239 --> 00:41:53,279 Speaker 1: to make the fact that we think that tortoises make 779 00:41:53,600 --> 00:41:59,000 Speaker 1: very slow, very generous love, lots of eye contact even 780 00:41:59,040 --> 00:41:59,960 Speaker 1: though he's blind. 781 00:42:01,440 --> 00:42:04,320 Speaker 2: I don't even know how you could make eye contact 782 00:42:04,400 --> 00:42:07,040 Speaker 2: as a tortoise. Like he would be really reaching over 783 00:42:07,120 --> 00:42:10,160 Speaker 2: the shell to be like, look at me, look at me. 784 00:42:11,239 --> 00:42:15,840 Speaker 1: Yes, this must be interesting to be that that doctor, 785 00:42:15,920 --> 00:42:19,279 Speaker 1: that that personalized vet, the hermetologist or whatever, and just 786 00:42:19,320 --> 00:42:21,320 Speaker 1: to be like back at it again, like that person 787 00:42:21,400 --> 00:42:23,560 Speaker 1: spending say it is an hour that Jonathan gets it 788 00:42:23,640 --> 00:42:29,800 Speaker 1: on with Frederick, but not definitely not ugly David. They ugly, gross, weird, 789 00:42:29,800 --> 00:42:34,359 Speaker 1: butthole David. They are that person has to market and 790 00:42:34,440 --> 00:42:36,440 Speaker 1: witness it. Yeah, make sure. I mean he could have 791 00:42:36,480 --> 00:42:38,799 Speaker 1: a heart attack, He could go like Matthew McConaughey's dead 792 00:42:39,000 --> 00:42:42,839 Speaker 1: mid coitus coitus interrupt us. Hmm, I know when that 793 00:42:43,000 --> 00:42:44,360 Speaker 1: the day that Jonathan. 794 00:42:44,440 --> 00:42:50,040 Speaker 2: I hope Jonathan goes out with a bang while having sex. Please, 795 00:42:50,360 --> 00:42:54,200 Speaker 2: if there is any beauty left in the world, may 796 00:42:54,360 --> 00:42:57,160 Speaker 2: Jonathan the giant bisexual Tortoise who is one hundred and 797 00:42:57,200 --> 00:42:57,959 Speaker 2: eighty eight years old. 798 00:42:58,000 --> 00:43:02,480 Speaker 1: Die fucking so cool. How God, that is such a 799 00:43:02,520 --> 00:43:05,480 Speaker 1: long it's in i'd want to live that long. I 800 00:43:05,520 --> 00:43:08,360 Speaker 1: don't think so. I think ninety would be a sweet 801 00:43:08,360 --> 00:43:13,080 Speaker 1: spot for me. Ninety die making slow, generous love that 802 00:43:13,200 --> 00:43:14,040 Speaker 1: sounds wonderful. 803 00:43:14,120 --> 00:43:17,040 Speaker 2: Yeah, I will take honestly, I'll take anything, person, I'll 804 00:43:17,080 --> 00:43:18,760 Speaker 2: take anything between eighty and ninety. 805 00:43:18,920 --> 00:43:21,960 Speaker 1: I'll take any of that area. Love that love that area. 806 00:43:22,000 --> 00:43:25,200 Speaker 1: Good do go, good do go great area. Then they'll 807 00:43:25,280 --> 00:43:28,200 Speaker 1: upload us into like an Oculus rift. And like I 808 00:43:28,920 --> 00:43:32,520 Speaker 1: just saw the New Star Wars Boba Fette thing where 809 00:43:32,520 --> 00:43:35,200 Speaker 1: they just have Luke Skywalker looking young as hell walking 810 00:43:35,239 --> 00:43:37,799 Speaker 1: around and it looks so damn good. I'm like, so well, 811 00:43:37,800 --> 00:43:40,240 Speaker 1: there goes that. We're just gonna have young Tom Cruise, 812 00:43:40,320 --> 00:43:43,920 Speaker 1: We're gonna have young Meryl Streeps. We're just gonna have 813 00:43:44,000 --> 00:43:46,799 Speaker 1: young young Denzel's gonna be cool as hell. And you're 814 00:43:46,840 --> 00:43:50,000 Speaker 1: just like, oh, okay, yeah, I get it. Like this 815 00:43:50,080 --> 00:43:53,600 Speaker 1: country is no longer making anything new. Our best times 816 00:43:53,600 --> 00:43:56,799 Speaker 1: are behind us, so let's celebrate this, ay man. That's 817 00:43:56,800 --> 00:43:59,600 Speaker 1: why you just got a laugh and laugh and laugh. Man. 818 00:43:59,800 --> 00:44:01,480 Speaker 1: It's a it's a good time. 819 00:44:01,960 --> 00:44:04,960 Speaker 2: Come on out to that Brooklyn Bell House show. Come 820 00:44:05,000 --> 00:44:07,160 Speaker 2: on out, come on out to that Asbury Park. 821 00:44:07,520 --> 00:44:11,080 Speaker 1: Something to look forward to. Kurt homecoming show Asbury Park. 822 00:44:11,120 --> 00:44:13,880 Speaker 1: I booked my hotels. Yes, where you're staying. Well, you 823 00:44:13,920 --> 00:44:15,520 Speaker 1: don't say it on the pod. I won't take it. 824 00:44:15,560 --> 00:44:18,759 Speaker 1: I want dos myself, but it it's it's the one 825 00:44:18,800 --> 00:44:22,759 Speaker 1: you recommend it. Oat all right, let's give give me 826 00:44:22,800 --> 00:44:24,400 Speaker 1: some more. Give me some more, Scott, I got a 827 00:44:24,440 --> 00:44:26,560 Speaker 1: good I got good stories. Thanks for setting all the 828 00:44:26,560 --> 00:44:32,440 Speaker 1: great stories. Pan Animals, you rock you roll. This is 829 00:44:32,480 --> 00:44:39,240 Speaker 1: an interesting by Keli Courtney. A nightmare family living without 830 00:44:39,239 --> 00:44:43,080 Speaker 1: a roof after theirs was removed by a contractor they 831 00:44:43,160 --> 00:44:50,719 Speaker 1: never hired, Oh removed their roof. Yes. This is from 832 00:44:50,880 --> 00:44:57,080 Speaker 1: k x l y dot com, Idaho, written by Kixele 833 00:44:57,880 --> 00:45:02,920 Speaker 1: Kixley written by Esther best in the business Bower. Good job, Esther, 834 00:45:03,280 --> 00:45:06,000 Speaker 1: You're doing great work up there in Spirit Lake, Idaho. 835 00:45:06,120 --> 00:45:08,560 Speaker 1: A local family's been living without a roof for over 836 00:45:08,640 --> 00:45:11,960 Speaker 1: twenty days after theirs was removed by a contractor they 837 00:45:12,080 --> 00:45:17,240 Speaker 1: never hired. Whoa wow. Okay, it's a site that Jessica 838 00:45:17,280 --> 00:45:20,840 Speaker 1: Hotved never thought she'd come home to quote. This is 839 00:45:20,880 --> 00:45:23,279 Speaker 1: a nightmare. This is the absolute worst thing that I 840 00:45:23,320 --> 00:45:25,919 Speaker 1: could have imagined, she said. June first, my daughter comes 841 00:45:25,920 --> 00:45:28,520 Speaker 1: home from school to find people were removing the roof 842 00:45:28,560 --> 00:45:33,640 Speaker 1: of our house. Their house is now covered in tarps 843 00:45:33,920 --> 00:45:37,359 Speaker 1: with no explanation except a letter left by a contractor 844 00:45:37,400 --> 00:45:41,120 Speaker 1: which says there had been a miscommunication. Yeah. Oh, I 845 00:45:41,160 --> 00:45:45,120 Speaker 1: think that's a fair letter. A letter, and they were 846 00:45:45,160 --> 00:45:49,560 Speaker 1: sent to the wrong address. She understands that people mess up, 847 00:45:49,840 --> 00:45:53,000 Speaker 1: but no one is taking blame for the issue. Quote. 848 00:45:53,000 --> 00:45:55,480 Speaker 1: It was a mistake, a very costly mistake, and it 849 00:45:55,560 --> 00:45:58,840 Speaker 1: should have been fixed. Hotved says it should have been fixed, 850 00:45:58,840 --> 00:46:02,680 Speaker 1: but no one will do it. Dr Roofing LLC told 851 00:46:02,680 --> 00:46:05,880 Speaker 1: the family their insurance would have to handle it. The 852 00:46:05,920 --> 00:46:08,160 Speaker 1: claims the family has tried to filed with their insurance 853 00:46:08,200 --> 00:46:11,879 Speaker 1: company have been denied. In the latest letter, they say, 854 00:46:11,960 --> 00:46:16,040 Speaker 1: quote the policy issued to Dr Roofing contains an exclusion 855 00:46:16,120 --> 00:46:20,480 Speaker 1: for property damage arising out of an open air roof condition. 856 00:46:21,239 --> 00:46:23,000 Speaker 1: I don't know what that means. I don't know what 857 00:46:23,040 --> 00:46:26,439 Speaker 1: I just said. The recent rainstorms Inland Northwest have only 858 00:46:26,440 --> 00:46:29,360 Speaker 1: made the issues worse. Waters seeped into the home and 859 00:46:29,480 --> 00:46:32,240 Speaker 1: parts of the floor had to be removed. There's also 860 00:46:32,320 --> 00:46:35,440 Speaker 1: lingering water damage to the carpet and drywall. This really 861 00:46:35,480 --> 00:46:39,880 Speaker 1: is this is so bizarre and such a nightmare. So 862 00:46:41,000 --> 00:46:43,000 Speaker 1: the mom is worried about the kids rooms because it's 863 00:46:43,000 --> 00:46:46,239 Speaker 1: getting moldy and mildewy and the smell's overwhelming for them. 864 00:46:46,280 --> 00:46:50,160 Speaker 1: The price to fix this curdiebe how seventy thousand dollars 865 00:46:50,239 --> 00:46:54,959 Speaker 1: for a new roof? Oh my god? How so who's payan? 866 00:46:55,520 --> 00:46:59,880 Speaker 1: Who's paying? They're asking everybody, including our beautiful bananimals, for 867 00:47:00,000 --> 00:47:01,600 Speaker 1: advice on what to do and how to deal with 868 00:47:01,640 --> 00:47:06,000 Speaker 1: the issue. They've contacted both Idaho and Washington's attorney generals, 869 00:47:06,000 --> 00:47:08,400 Speaker 1: as well as the Better Business Bureau the BBB. 870 00:47:09,440 --> 00:47:09,560 Speaker 4: UH. 871 00:47:09,760 --> 00:47:12,000 Speaker 1: They say they're starting to meet with lawyers about their 872 00:47:12,040 --> 00:47:15,080 Speaker 1: next steps. So four News Now did reach out to 873 00:47:15,120 --> 00:47:17,200 Speaker 1: the contractor who had removed this roof. 874 00:47:17,400 --> 00:47:20,279 Speaker 2: Yeah, I mean there's no excuse, there's no you can't 875 00:47:20,360 --> 00:47:21,839 Speaker 2: just go and take somebody's roof. 876 00:47:22,000 --> 00:47:24,880 Speaker 1: That's so great, right and to your point, Oh, he 877 00:47:24,960 --> 00:47:26,520 Speaker 1: said over the phone he's working on it, but did 878 00:47:26,600 --> 00:47:28,839 Speaker 1: not want to comment on camera. I love when those 879 00:47:28,880 --> 00:47:31,600 Speaker 1: eyewitness news people like getting people's face and they're like 880 00:47:31,600 --> 00:47:33,680 Speaker 1: excuse me, you did this horrible thing. It's always like 881 00:47:33,719 --> 00:47:36,480 Speaker 1: walking out of a chipolt lay towards their car and 882 00:47:36,480 --> 00:47:38,880 Speaker 1: they're like, oh, please make to my lawyer and no comment. 883 00:47:39,719 --> 00:47:42,600 Speaker 1: So hopefully this all gets resolved because that is crazy. 884 00:47:42,600 --> 00:47:44,759 Speaker 1: But I was thinking about this, and like, you know, 885 00:47:44,800 --> 00:47:47,960 Speaker 1: I was like, sou the bastards or whatever every American says. 886 00:47:48,320 --> 00:47:52,160 Speaker 1: But then I was thinking, isn't this a robbery? Isn't 887 00:47:52,200 --> 00:47:54,200 Speaker 1: this like a parsony or grand thet. 888 00:47:54,080 --> 00:47:57,560 Speaker 2: They're still breaking and entering, right, You're like they called 889 00:47:57,600 --> 00:47:59,120 Speaker 2: the police and be like I was robbed. 890 00:47:59,680 --> 00:48:05,920 Speaker 1: Yeah right, someone stole my roof. Yeah, like yeah, like 891 00:48:07,120 --> 00:48:09,480 Speaker 1: if somebody steals your front door of your house, you 892 00:48:09,480 --> 00:48:11,399 Speaker 1: called piece of go. Somebody just stole my front door. Yeah, 893 00:48:11,400 --> 00:48:15,160 Speaker 1: it's no different. This is just grand theft. I say, 894 00:48:15,440 --> 00:48:19,360 Speaker 1: throw these corn balls in jail. That's so fucking crazy. 895 00:48:20,440 --> 00:48:23,160 Speaker 1: Oh man, So who wanted their roof? Did? Was there 896 00:48:23,200 --> 00:48:25,480 Speaker 1: ever any explanation on it was a mix up that 897 00:48:25,520 --> 00:48:27,840 Speaker 1: somebody must have been getting a new roof installed and 898 00:48:27,880 --> 00:48:30,120 Speaker 1: then they cut the roof off and realized what they did, 899 00:48:30,200 --> 00:48:33,040 Speaker 1: and then they just like were like, sorry, your homeowner's 900 00:48:33,040 --> 00:48:35,000 Speaker 1: insurance or something will cover it. But then they're playing 901 00:48:35,000 --> 00:48:38,319 Speaker 1: their policy didn't cover it, so I think they probably 902 00:48:38,480 --> 00:48:41,360 Speaker 1: will win. My guess is, yeah, they have to. You 903 00:48:41,360 --> 00:48:43,759 Speaker 1: can't just take somebody. People are going to jail. You 904 00:48:43,800 --> 00:48:47,640 Speaker 1: can't just take somebody's roof, right, No, I hope not. 905 00:48:47,920 --> 00:48:50,520 Speaker 1: I mean, who knows. I get mad if somebody took 906 00:48:50,560 --> 00:48:53,239 Speaker 1: my hat. When I was in high school, my high 907 00:48:53,280 --> 00:48:55,640 Speaker 1: school girlfriend and I her dad was a contractor, and 908 00:48:55,920 --> 00:48:58,279 Speaker 1: I drove home after school and we go in the 909 00:48:58,320 --> 00:49:02,160 Speaker 1: house and we're doing We're hanging out. We're flirting around 910 00:49:02,200 --> 00:49:04,920 Speaker 1: the way that the youth, the sixteen year olds do. 911 00:49:05,120 --> 00:49:08,840 Speaker 1: We were probably smooching Kurt, yeah a lot. We're probably 912 00:49:08,840 --> 00:49:12,719 Speaker 1: holding hands, a lot, lot of handholder Hell. Yeah, you know, 913 00:49:13,160 --> 00:49:15,160 Speaker 1: you do those little things. You sneak a little thing 914 00:49:15,200 --> 00:49:17,400 Speaker 1: here and there. Oh mom's in the other room. Just 915 00:49:17,440 --> 00:49:19,680 Speaker 1: a quick, quick, little butt pinch, and then we just 916 00:49:19,719 --> 00:49:22,319 Speaker 1: go in and act all polite. So we're doing that, 917 00:49:22,320 --> 00:49:24,200 Speaker 1: we're hanging out, and then they were like, Scotty, do 918 00:49:24,239 --> 00:49:26,239 Speaker 1: you want to stay for dinner? Sure? Sitting around with 919 00:49:26,280 --> 00:49:29,080 Speaker 1: his family, the dad goes to put on music. He goes, 920 00:49:29,800 --> 00:49:33,560 Speaker 1: what the fuck who took my CD player? So somebody, 921 00:49:33,680 --> 00:49:37,880 Speaker 1: this guy was obsessed with music, like a true true 922 00:49:38,200 --> 00:49:43,000 Speaker 1: musicology music. What is it audiophile? This guy just loved it. 923 00:49:43,040 --> 00:49:46,799 Speaker 1: Always had music on the house speakers everywhere. So we 924 00:49:46,840 --> 00:49:50,239 Speaker 1: go gone. All the CDs are gone, seven disc or 925 00:49:50,280 --> 00:49:53,400 Speaker 1: one hundred disc or whatever. Crazy changer was gone, gone, 926 00:49:53,600 --> 00:49:55,880 Speaker 1: wires out of the wall. The funniest part is we 927 00:49:55,920 --> 00:49:58,719 Speaker 1: had been hanging out. I think we're probably playing some cranium. 928 00:49:58,760 --> 00:50:01,120 Speaker 1: We didn't notice that this major piece of like this 929 00:50:01,160 --> 00:50:05,160 Speaker 1: guy's personality was stolen. So it was the first time 930 00:50:05,200 --> 00:50:08,400 Speaker 1: I'd ever felt that feeling of like there are criminals 931 00:50:08,400 --> 00:50:10,520 Speaker 1: out there and they come into your homes and it's 932 00:50:10,560 --> 00:50:14,239 Speaker 1: a very strange feeling. Wow. So that was probably on 933 00:50:14,280 --> 00:50:16,920 Speaker 1: like a Thursday or Friday. Weekend rolls around. I get 934 00:50:16,920 --> 00:50:19,719 Speaker 1: a call from my girlfriend on a Saturday, this is 935 00:50:19,760 --> 00:50:22,640 Speaker 1: what happened. This is so crazy. So, as a contractor, 936 00:50:22,880 --> 00:50:26,799 Speaker 1: the guys used to meet at his house before work 937 00:50:26,840 --> 00:50:28,520 Speaker 1: and then they'd all get in different work trucks and 938 00:50:28,600 --> 00:50:32,560 Speaker 1: go out. And they kind of famously didn't lock their 939 00:50:32,600 --> 00:50:35,600 Speaker 1: back sliding door at the time, and like, so we 940 00:50:35,840 --> 00:50:37,560 Speaker 1: had come home from school, we just walking their house. 941 00:50:37,600 --> 00:50:39,160 Speaker 1: You know, it was a little bit in the country. 942 00:50:39,320 --> 00:50:42,720 Speaker 1: Is in Deer Park, Maryland. And anyways, her dad goes 943 00:50:42,760 --> 00:50:45,399 Speaker 1: to he bought a new CD player and he went 944 00:50:45,440 --> 00:50:49,400 Speaker 1: to buy some CDs at Record and tape traders in Reisterstown, Maryland. 945 00:50:50,040 --> 00:50:52,480 Speaker 1: And the guy and he starts looking at these CDs 946 00:50:52,600 --> 00:50:55,360 Speaker 1: and he opens one up and his name was on it. 947 00:50:55,360 --> 00:50:57,720 Speaker 1: It said his last name, signed all him and just 948 00:50:57,760 --> 00:51:01,040 Speaker 1: sold them. It's not only did they steal two hundred 949 00:51:01,040 --> 00:51:03,359 Speaker 1: plus CDs and then take them to the closest place 950 00:51:03,400 --> 00:51:06,160 Speaker 1: that bought UCDs and resold them, they filled out the 951 00:51:06,239 --> 00:51:09,239 Speaker 1: form with their full information. Oh, so he realized it 952 00:51:09,360 --> 00:51:11,160 Speaker 1: was somebody that used to work for him. We used 953 00:51:11,160 --> 00:51:13,640 Speaker 1: to wear construction for him. And they called the police 954 00:51:13,680 --> 00:51:16,240 Speaker 1: and they went over that guy's house and they arrested 955 00:51:16,239 --> 00:51:18,760 Speaker 1: the guy. But he filled out the form after robbing 956 00:51:18,800 --> 00:51:21,840 Speaker 1: his boss, with his real name, his real address, his 957 00:51:21,920 --> 00:51:25,080 Speaker 1: real phone number. I mean, this is super deal. That's 958 00:51:25,160 --> 00:51:27,040 Speaker 1: so amazing because I remember selling. 959 00:51:27,239 --> 00:51:28,919 Speaker 2: I used to sell CDs all the time in order 960 00:51:28,920 --> 00:51:31,440 Speaker 2: to buy new CDs, and they would always give you 961 00:51:31,480 --> 00:51:34,720 Speaker 2: a dollar for CD when you spent like fifteen dollars 962 00:51:34,760 --> 00:51:37,840 Speaker 2: on each CD, and it was always cash. 963 00:51:37,960 --> 00:51:40,760 Speaker 1: I never had to like write my name down or anything. 964 00:51:41,160 --> 00:51:43,760 Speaker 2: Crazy so you could just put like, my name's Biz 965 00:51:43,800 --> 00:51:47,680 Speaker 2: whip Year, you know, and like, yeah. 966 00:51:46,760 --> 00:51:49,080 Speaker 1: I mean biz whip Year is a dope name. That's it. 967 00:51:50,080 --> 00:51:52,160 Speaker 1: They're like, this guy Biz has just been ripping off 968 00:51:52,200 --> 00:51:55,080 Speaker 1: people everywhere. We got four metallic ride the lightnings out 969 00:51:55,080 --> 00:51:57,040 Speaker 1: of this sky. We got one outcast. 970 00:51:57,400 --> 00:52:00,160 Speaker 2: Oh man, all right, I'll give us one more to 971 00:52:00,200 --> 00:52:00,799 Speaker 2: send us home. 972 00:52:00,840 --> 00:52:06,680 Speaker 1: Scottie tease us into the next oblivion. Here we go. 973 00:52:07,840 --> 00:52:11,320 Speaker 2: Geico may have to pay five point two million dollars 974 00:52:11,360 --> 00:52:14,600 Speaker 2: to a woman who got an STD in an insured car. 975 00:52:15,000 --> 00:52:18,120 Speaker 1: I saw this. This is crazy, so it seems not good. 976 00:52:18,360 --> 00:52:19,080 Speaker 1: We have cover. 977 00:52:19,200 --> 00:52:22,759 Speaker 2: We covered this when it was a lawsuit, but just 978 00:52:22,800 --> 00:52:26,680 Speaker 2: a quick update because the woman won her lawsuit. 979 00:52:26,800 --> 00:52:28,240 Speaker 1: It's fucking crazy. 980 00:52:28,719 --> 00:52:31,319 Speaker 2: This was sent in by Tiffany Wood and many many 981 00:52:31,360 --> 00:52:32,200 Speaker 2: other bananimals. 982 00:52:33,200 --> 00:52:33,560 Speaker 1: Thank you. 983 00:52:33,960 --> 00:52:36,640 Speaker 2: Basically, I will tell you here's here is. This is 984 00:52:36,680 --> 00:52:40,520 Speaker 2: an on NPR. The Missouri Court of Appeals is siding 985 00:52:40,800 --> 00:52:43,400 Speaker 2: with a woman who won a five point two million 986 00:52:43,440 --> 00:52:46,640 Speaker 2: dollar award against Geico in a case it centers on 987 00:52:46,680 --> 00:52:50,440 Speaker 2: a unique auto injury claim. The woman says she contracted 988 00:52:50,480 --> 00:52:54,840 Speaker 2: a sexually transmitted disease in a Hyundai Sedan whose owner 989 00:52:54,960 --> 00:52:58,799 Speaker 2: was insured by Geico. This reads like and and if 990 00:52:59,080 --> 00:53:01,239 Speaker 2: and when you know and when you know that the 991 00:53:01,280 --> 00:53:07,719 Speaker 2: sexually transmitted disease is HPV, the sexually transmitted disease that 992 00:53:07,880 --> 00:53:11,919 Speaker 2: absolutely every single person in an America has, that's right, 993 00:53:12,560 --> 00:53:15,720 Speaker 2: is amazing. The woman identifying in court papers as mos 994 00:53:15,719 --> 00:53:19,240 Speaker 2: as a man identified as MB infected her with HPV 995 00:53:19,280 --> 00:53:23,040 Speaker 2: when they had unprotected sex in his twenty fourteen Hyundai Genesis. 996 00:53:23,360 --> 00:53:27,560 Speaker 1: I mean, wow, decisions are being made across the board here. 997 00:53:27,800 --> 00:53:34,000 Speaker 2: Yeah, so insane? Uh so yeah, so hat like it's insane, 998 00:53:34,080 --> 00:53:37,960 Speaker 2: she said. Basically, what's happening now is there was an appeal, 999 00:53:38,040 --> 00:53:40,600 Speaker 2: like she won in a court case. There was an appeals, 1000 00:53:40,640 --> 00:53:44,240 Speaker 2: she won in the appeals, and now Geico is taking 1001 00:53:44,280 --> 00:53:47,239 Speaker 2: them to some other level of court to try and 1002 00:53:47,280 --> 00:53:50,560 Speaker 2: get the damages reduced. So she probably won't end up 1003 00:53:50,560 --> 00:53:53,480 Speaker 2: with five point two million dollars. It will or it 1004 00:53:53,560 --> 00:53:54,719 Speaker 2: might get thrown out all teach. 1005 00:53:54,800 --> 00:53:57,040 Speaker 1: Maybe she will. But the thing I think in one 1006 00:53:57,080 --> 00:53:58,920 Speaker 1: of the articles I read is that Geico didn't take 1007 00:53:58,960 --> 00:54:01,680 Speaker 1: the claim very seriously in the first and then they lost, 1008 00:54:01,760 --> 00:54:03,920 Speaker 1: and then in the appeals they like lawyered up. But 1009 00:54:03,960 --> 00:54:06,120 Speaker 1: then there was already like the president or whatever. So 1010 00:54:06,160 --> 00:54:08,880 Speaker 1: they lost again. I didn't see in any of the 1011 00:54:09,000 --> 00:54:11,440 Speaker 1: articles if they if a condom was used. I was 1012 00:54:11,480 --> 00:54:14,399 Speaker 1: trying to figure that out, Like it says unprotected sex. 1013 00:54:14,480 --> 00:54:20,800 Speaker 1: Yeah mmmm see that's if it was consensual unprotected sex. 1014 00:54:20,920 --> 00:54:27,359 Speaker 1: That seems like there's some fault here not you know, yeah, 1015 00:54:27,360 --> 00:54:29,560 Speaker 1: it seems like I don't know. 1016 00:54:29,719 --> 00:54:32,080 Speaker 2: I mean, Geico had told the woman it's auto insurance 1017 00:54:32,120 --> 00:54:35,560 Speaker 2: coverage didn't apply because quote damage's claim did not arise 1018 00:54:35,600 --> 00:54:40,160 Speaker 2: out of the normal use of the vehicle, which I like, Look, 1019 00:54:40,320 --> 00:54:43,160 Speaker 2: I'm not not a fan of insurance companies in any way, 1020 00:54:43,200 --> 00:54:46,840 Speaker 2: shape or form, but it does seem like that is 1021 00:54:46,880 --> 00:54:49,160 Speaker 2: not something that we were like, all right, here's the 1022 00:54:49,239 --> 00:54:51,719 Speaker 2: Hyundai Sonata, perfect for fucking in. 1023 00:54:52,040 --> 00:54:54,360 Speaker 1: Like no one ever says that, like this is the 1024 00:54:54,400 --> 00:54:58,919 Speaker 1: spot I go to. I want to no, no, I yeah, 1025 00:54:58,960 --> 00:55:01,480 Speaker 1: I think this is not good thing. I mean, I'm 1026 00:55:01,480 --> 00:55:03,920 Speaker 1: not happy for anybody involved in this. But also like 1027 00:55:03,960 --> 00:55:06,239 Speaker 1: if all all of our auto insurance rates go through 1028 00:55:06,280 --> 00:55:09,279 Speaker 1: the roof, because this sets some precedent where everybody who's 1029 00:55:09,320 --> 00:55:13,640 Speaker 1: had sex in a car has gotten something like by 1030 00:55:13,880 --> 00:55:15,000 Speaker 1: here we go. You know. 1031 00:55:15,160 --> 00:55:22,400 Speaker 2: I listened to this great podcast called you're wrong about 1032 00:55:23,080 --> 00:55:25,680 Speaker 2: and and I'm sure that this will be like in 1033 00:55:26,360 --> 00:55:28,880 Speaker 2: like ten years or something, we'll get like more details 1034 00:55:28,880 --> 00:55:31,720 Speaker 2: about actually what happened here and why the court sided 1035 00:55:31,920 --> 00:55:35,400 Speaker 2: because you know, in like this reminds me of the 1036 00:55:35,920 --> 00:55:39,319 Speaker 2: famous McDonald's case where the woman burned herself with hot 1037 00:55:39,320 --> 00:55:41,239 Speaker 2: coffee and then got like a ten million dollar thing. 1038 00:55:42,320 --> 00:55:46,400 Speaker 2: When you actually get into the details of the case. Yes, 1039 00:55:47,440 --> 00:55:51,680 Speaker 2: it is actually justified, and they spend a whole hour 1040 00:55:51,760 --> 00:55:54,240 Speaker 2: going through it, and I'm sure you'll find this probably 1041 00:55:54,239 --> 00:55:56,799 Speaker 2: has something like that, but I you know, at this 1042 00:55:56,920 --> 00:56:01,040 Speaker 2: point we're unsure of what's going on. But anyway, that's 1043 00:56:01,080 --> 00:56:03,600 Speaker 2: a fun way to be a bummer about this very 1044 00:56:03,600 --> 00:56:04,320 Speaker 2: funny story. 1045 00:56:04,880 --> 00:56:08,400 Speaker 1: Oh it's okay. What you're saying is get all the 1046 00:56:08,440 --> 00:56:11,439 Speaker 1: information before you pass judgment and just be a knee 1047 00:56:11,520 --> 00:56:14,080 Speaker 1: jerk society. We gotta get all the info. We got 1048 00:56:14,080 --> 00:56:17,120 Speaker 1: across the t's and hit the lowercase jas with some dots. 1049 00:56:17,400 --> 00:56:18,399 Speaker 1: We gotta get in there. 1050 00:56:18,440 --> 00:56:20,600 Speaker 2: And I'm also saying is you're not gonna get all 1051 00:56:20,600 --> 00:56:22,239 Speaker 2: the info here, bananas. 1052 00:56:22,400 --> 00:56:25,080 Speaker 1: It is a podcast, bananas. 1053 00:56:25,120 --> 00:56:28,520 Speaker 2: We're gonna give you barely enough information to laugh about. 1054 00:56:28,640 --> 00:56:31,560 Speaker 2: And then that is it, right, if you're coming here 1055 00:56:31,600 --> 00:56:33,800 Speaker 2: for your news, you're in trouble. 1056 00:56:34,440 --> 00:56:38,160 Speaker 1: That's right. But anyways, it's been a beautiful episode. Have 1057 00:56:38,320 --> 00:56:40,480 Speaker 1: protected sex. If you're gonna have sex with somebody you 1058 00:56:40,560 --> 00:56:42,799 Speaker 1: don't really know in a car, put a condom on. 1059 00:56:43,080 --> 00:56:46,920 Speaker 1: They're great. They work really high percentage of the time 1060 00:56:48,160 --> 00:56:51,920 Speaker 1: available everywhere. We should make bananas condoms. We should make 1061 00:56:51,960 --> 00:56:56,160 Speaker 1: Banana's condoms. Actually, this is a great idea. Thank you folks, 1062 00:56:56,280 --> 00:57:12,520 Speaker 1: Thank you Scotti. Bananas Bananas is an exactly right media production. 1063 00:57:12,680 --> 00:57:16,200 Speaker 1: Our producer and engineer is Katie Levine. The catchy Bananas 1064 00:57:16,240 --> 00:57:18,520 Speaker 1: theme song was composed and performed by Kahon. 1065 00:57:18,760 --> 00:57:22,120 Speaker 2: Artwork for Bananas was designed by Travis Millard. 1066 00:57:22,080 --> 00:57:24,920 Speaker 1: And our benevolent overlords are the great Karen Kilgarriff and 1067 00:57:24,960 --> 00:57:25,720 Speaker 1: Georgia Hartstar 1068 00:57:25,920 --> 00:57:30,280 Speaker 2: And Lisa Maggott is our full human, not a robot intern.