1 00:00:00,080 --> 00:00:03,120 Speaker 1: All right, Scott, you ready, Kurnie b I am so 2 00:00:03,400 --> 00:00:05,520 Speaker 1: ready to have a great time with you today. 3 00:00:06,240 --> 00:00:11,440 Speaker 2: Well strap in cuz scientists want to build a sperm 4 00:00:11,520 --> 00:00:13,520 Speaker 2: bank on the Moon, and. 5 00:00:13,680 --> 00:00:28,400 Speaker 3: Why wouldn't they. Let's find out on bananas. 6 00:00:21,000 --> 00:00:39,040 Speaker 4: I do world up? Would my sillion pieces would bana ba. 7 00:00:43,560 --> 00:00:51,000 Speaker 2: Ba, Ladies and gentlemen. Welcome to Bananas. I am Kurt 8 00:00:51,040 --> 00:00:51,880 Speaker 2: Brown Older. 9 00:00:52,159 --> 00:00:53,440 Speaker 3: I am Scotti Landis. 10 00:00:53,520 --> 00:00:56,880 Speaker 1: Thank you for listening to the silliest little podcast there 11 00:00:57,000 --> 00:00:57,920 Speaker 1: ever was. 12 00:00:58,080 --> 00:00:58,320 Speaker 2: Kurt. 13 00:00:58,400 --> 00:00:59,680 Speaker 3: I'm gonna tee you up a little bit. 14 00:00:59,720 --> 00:01:01,520 Speaker 1: I think you have some stuff to plug home, dog, 15 00:01:01,720 --> 00:01:03,520 Speaker 1: I do have a really. 16 00:01:03,240 --> 00:01:06,199 Speaker 2: Quick plug guys, before we bring on our fantastic guest. 17 00:01:06,319 --> 00:01:07,039 Speaker 3: What a guest. 18 00:01:07,760 --> 00:01:10,280 Speaker 2: I have not done stand up in over a year. 19 00:01:10,400 --> 00:01:13,319 Speaker 2: The last place I was supposed to do stand up March, 20 00:01:13,760 --> 00:01:18,360 Speaker 2: I don't know, March thirteenth in Portland, Oregon, in twenty twenty, 21 00:01:18,400 --> 00:01:23,560 Speaker 2: and I canceled that show. Wow, And now I'm dipping 22 00:01:23,600 --> 00:01:26,760 Speaker 2: my toe back in. We're doing this experiment. I am 23 00:01:26,800 --> 00:01:32,040 Speaker 2: doing a weekend at Helium in Portland Goday thirteenth, fourteenth, 24 00:01:32,120 --> 00:01:36,759 Speaker 2: and fifteenth. That's Thursday, Friday, and Saturday. It is I'm 25 00:01:36,840 --> 00:01:39,120 Speaker 2: you know, Biden just said everybody's gonna be able to 26 00:01:39,120 --> 00:01:41,000 Speaker 2: get a shot by May first, So I hope everybody 27 00:01:41,160 --> 00:01:44,199 Speaker 2: gets a shot May first, you're vaccinated two weeks later, 28 00:01:44,280 --> 00:01:47,600 Speaker 2: come on to the show. Everyone who works there should 29 00:01:47,600 --> 00:01:51,360 Speaker 2: be vaccinated by that point. It's it's a very limited capacity. 30 00:01:51,360 --> 00:01:53,640 Speaker 2: It's less than I think it's like a third capacity. 31 00:01:53,680 --> 00:01:57,360 Speaker 2: It's only hundred tickets per show these space is like 32 00:01:57,400 --> 00:02:01,360 Speaker 2: three hundred to four hundred seats usually. So I think 33 00:02:01,360 --> 00:02:02,840 Speaker 2: it's gonna be really safe, and I think it's gonna 34 00:02:02,840 --> 00:02:05,000 Speaker 2: be really fun, and come and watch me do stand 35 00:02:05,080 --> 00:02:07,880 Speaker 2: up for the first time in a fucking year. It'll 36 00:02:07,880 --> 00:02:11,440 Speaker 2: be really crazy. So May thirteenth through fifteenth in Portland, Oregon, 37 00:02:11,720 --> 00:02:16,519 Speaker 2: a beautifulliam. Anyway, are you guys ready for this introduction 38 00:02:16,720 --> 00:02:18,120 Speaker 2: for our fantastic. 39 00:02:17,760 --> 00:02:19,920 Speaker 3: I'm ready because I this guest. 40 00:02:20,880 --> 00:02:23,239 Speaker 1: More people recommended this guest to be a guest on 41 00:02:23,320 --> 00:02:27,000 Speaker 1: Bananas than any other guests we've ever had. And I think, 42 00:02:27,160 --> 00:02:31,760 Speaker 1: and yeah, all ages, all genders, all people. We're teeing 43 00:02:31,760 --> 00:02:34,240 Speaker 1: her up so much. We're building our guest up so much, 44 00:02:34,720 --> 00:02:37,000 Speaker 1: but she's still going to exceed these experts. 45 00:02:37,320 --> 00:02:43,120 Speaker 2: Is she is an MIT engineer turned Emmy nominated science 46 00:02:43,200 --> 00:02:47,480 Speaker 2: TV host. You've seen her shows Emily's Wonder Lab on 47 00:02:47,560 --> 00:02:51,359 Speaker 2: Netflix and Exploration Space on Fox. She's also been a 48 00:02:51,400 --> 00:02:54,280 Speaker 2: guest on Bill Nye, Fucking Bill Nye. She's got a 49 00:02:54,320 --> 00:02:56,600 Speaker 2: bunch of TEDx talks you should really watch, which we'll 50 00:02:56,600 --> 00:03:00,600 Speaker 2: talk about later. She's absolutely fantastic. Please welcome the wonderful 51 00:03:00,800 --> 00:03:02,560 Speaker 2: Emily CALLANDRELLI. 52 00:03:02,280 --> 00:03:05,640 Speaker 5: Hello, Hello, Hello. 53 00:03:04,600 --> 00:03:07,160 Speaker 2: For having me, Thank you for coming on. Did I 54 00:03:07,160 --> 00:03:08,359 Speaker 2: say your name right? Yeah? 55 00:03:08,360 --> 00:03:10,399 Speaker 5: That you nailed it first time. Great job. 56 00:03:11,240 --> 00:03:14,840 Speaker 2: I usually check, I usually check. I apologize for winging 57 00:03:14,880 --> 00:03:17,920 Speaker 2: it on that one. Hi, Emily, Hello, welcome to the show. 58 00:03:18,200 --> 00:03:21,120 Speaker 2: I was just telling you before that my daughter is 59 00:03:21,160 --> 00:03:24,280 Speaker 2: a huge fan of Emily's Wonder Lab and I am too, 60 00:03:24,560 --> 00:03:27,359 Speaker 2: And I cannot believe. So this show is if you 61 00:03:27,400 --> 00:03:30,600 Speaker 2: haven't seen on Netflix, It's an absolutely wonderful kids science show. 62 00:03:31,400 --> 00:03:35,040 Speaker 2: And you shot the whole thing nine months pregnant. 63 00:03:35,400 --> 00:03:39,640 Speaker 6: Yeah, eight and nine months pregnant. It was quiet an experience. 64 00:03:39,760 --> 00:03:42,920 Speaker 6: They called me, I think when I was five months 65 00:03:42,920 --> 00:03:45,160 Speaker 6: pregnant to tell us that they had picked up the show, 66 00:03:45,200 --> 00:03:48,560 Speaker 6: which so excited. I don't know if you've ever had 67 00:03:48,640 --> 00:03:50,960 Speaker 6: Netflix call you to tell you that they want to 68 00:03:50,960 --> 00:03:52,640 Speaker 6: pick up a show of yours, but it's a pretty 69 00:03:52,640 --> 00:03:55,960 Speaker 6: great feeling. And then they asked me do we want 70 00:03:56,000 --> 00:03:58,200 Speaker 6: to do you want to film the show before or 71 00:03:58,200 --> 00:04:01,440 Speaker 6: after the baby comes? And I was like, I've never 72 00:04:01,480 --> 00:04:05,200 Speaker 6: had a baby before. I hear that it's hard. Let's 73 00:04:05,600 --> 00:04:09,440 Speaker 6: film it. Yeah, before, And so we sort of, you know, 74 00:04:09,520 --> 00:04:12,840 Speaker 6: we did all the pre production and testing of all 75 00:04:12,880 --> 00:04:15,840 Speaker 6: the experiments pretty quickly soon after that, so that we 76 00:04:15,880 --> 00:04:18,039 Speaker 6: could hit that timeline because we had a we had 77 00:04:18,080 --> 00:04:21,520 Speaker 6: a timeline the baby was going to come eventually. So yeah, 78 00:04:21,560 --> 00:04:23,520 Speaker 6: we got hit the ground run running. 79 00:04:24,120 --> 00:04:28,080 Speaker 2: I am so impressed. I Uh, my wife and I 80 00:04:28,120 --> 00:04:31,200 Speaker 2: have two children, and I know that that last. Those 81 00:04:31,279 --> 00:04:34,279 Speaker 2: last six weeks, they're real rough, and being in production 82 00:04:34,440 --> 00:04:37,719 Speaker 2: is real rough. Like you are a superhero, Thank you, 83 00:04:38,240 --> 00:04:38,599 Speaker 2: thank you. 84 00:04:38,800 --> 00:04:42,080 Speaker 6: Luckily, it only took about six days to film the 85 00:04:42,279 --> 00:04:46,000 Speaker 6: entire season, and so they were pretty long days, and 86 00:04:46,040 --> 00:04:49,320 Speaker 6: there were lots of naps in between, lots of lots 87 00:04:49,320 --> 00:04:52,760 Speaker 6: of water and then lying flat whenever I could. 88 00:04:52,800 --> 00:04:54,599 Speaker 5: But yeah, we made it happen. 89 00:04:55,400 --> 00:04:57,400 Speaker 3: That's so rare. Good for you, that's amazing. 90 00:04:57,400 --> 00:04:59,120 Speaker 1: I actually had Netflix call me and tell me that 91 00:04:59,160 --> 00:05:01,839 Speaker 1: they were shelving series that we had shot the entire thing, 92 00:05:02,320 --> 00:05:06,919 Speaker 1: so I've had both experiences. Was in the funniest episode 93 00:05:06,960 --> 00:05:12,040 Speaker 1: and they were like, hey, we're not ever showing this, 94 00:05:12,200 --> 00:05:15,400 Speaker 1: and I was like, very good, thank you so much. 95 00:05:15,920 --> 00:05:19,880 Speaker 2: So crazy, really good money. Just imagine the amount of 96 00:05:19,920 --> 00:05:22,800 Speaker 2: money to make eight episodes. Ten episodes we made. 97 00:05:23,080 --> 00:05:26,720 Speaker 1: We we we shot ten, we edited eight, and then 98 00:05:26,760 --> 00:05:28,920 Speaker 1: we got the word that they wanted to reshoot one. 99 00:05:29,240 --> 00:05:33,120 Speaker 1: And then they called and we're like, you know what, 100 00:05:33,360 --> 00:05:35,120 Speaker 1: and so we were like, well, can we just release 101 00:05:35,160 --> 00:05:38,080 Speaker 1: it then, like we you just paid nine million dollars 102 00:05:38,160 --> 00:05:41,680 Speaker 1: or whatever, and they were like no, it's gone forever. 103 00:05:41,880 --> 00:05:43,880 Speaker 1: And I was like, very cool, thank you so much. 104 00:05:43,920 --> 00:05:46,040 Speaker 1: But you know what, we didn't do any science experiments. 105 00:05:46,040 --> 00:05:48,599 Speaker 1: I'm going to be honest. That would have That would 106 00:05:48,640 --> 00:05:49,559 Speaker 1: have helped us a lot. 107 00:05:50,440 --> 00:05:54,440 Speaker 6: But that is heartbreaking. That's I don't envy that experience. 108 00:05:54,680 --> 00:05:57,360 Speaker 2: Yeah, who cares? Who cares? 109 00:05:57,440 --> 00:05:59,960 Speaker 5: So curve like you maybe need to talk to a therapist. 110 00:06:01,400 --> 00:06:03,760 Speaker 1: That's what I'm doing right now. I was really hoping 111 00:06:03,960 --> 00:06:05,279 Speaker 1: you too could help me out. 112 00:06:05,720 --> 00:06:08,559 Speaker 2: Yeah, are you ready for some space news guys? 113 00:06:08,720 --> 00:06:08,880 Speaker 3: Love? 114 00:06:08,960 --> 00:06:13,640 Speaker 2: Oh yeah, scientists want to build a sperm bank on 115 00:06:13,760 --> 00:06:18,560 Speaker 2: the Moon. This is from the New York Post's it 116 00:06:18,640 --> 00:06:21,200 Speaker 2: was in everywhere. I tend to not pull from the 117 00:06:21,240 --> 00:06:24,080 Speaker 2: Post if I can avoid it, But I think the 118 00:06:24,120 --> 00:06:26,120 Speaker 2: Post just kind of summed it up the best of this. 119 00:06:26,320 --> 00:06:28,600 Speaker 2: That's what they do, sparks, they do. They just sum 120 00:06:28,600 --> 00:06:33,080 Speaker 2: it up in an easy way. Scientists have begun delay 121 00:06:33,120 --> 00:06:36,640 Speaker 2: plans for repopulation, starting with a sperm bank on the 122 00:06:36,640 --> 00:06:41,080 Speaker 2: Moon and what they're calling a quote modern global insurance policy. 123 00:06:41,160 --> 00:06:45,200 Speaker 2: Mechanical engineers have proposed that humans. I also love that, 124 00:06:45,880 --> 00:06:49,800 Speaker 2: like that that this is just a proposal. Literally, these 125 00:06:49,839 --> 00:06:53,120 Speaker 2: guys could be fucking lunatics, but they've put a proposal 126 00:06:53,160 --> 00:06:56,760 Speaker 2: together and published it somewhere, and now everyone's just like, 127 00:06:56,960 --> 00:06:59,760 Speaker 2: scientists want to build a sperm bank on the mood. 128 00:07:00,160 --> 00:07:01,960 Speaker 2: It's literally like three weirdos one. 129 00:07:02,120 --> 00:07:06,200 Speaker 6: Scientists are like, don't put this on us. We did 130 00:07:06,279 --> 00:07:07,600 Speaker 6: not collectively decide this. 131 00:07:07,600 --> 00:07:08,920 Speaker 2: This was not we don't want. 132 00:07:08,800 --> 00:07:11,800 Speaker 3: To do it. Yeah, exactly, we're not that big a 133 00:07:11,840 --> 00:07:12,800 Speaker 3: fan of this idea. 134 00:07:14,960 --> 00:07:17,840 Speaker 2: So basically, I won't read the whole thing. It's basically 135 00:07:17,920 --> 00:07:21,720 Speaker 2: the idea is to take fifty sperm and ova from 136 00:07:21,840 --> 00:07:26,120 Speaker 2: every species on planet Earth and then put it in 137 00:07:26,200 --> 00:07:30,560 Speaker 2: an arc that would then be built under ground on 138 00:07:30,720 --> 00:07:33,840 Speaker 2: the Moon. And like, the quote that they have here 139 00:07:33,960 --> 00:07:37,320 Speaker 2: is very weird. I think quote Earth is a natural 140 00:07:37,480 --> 00:07:41,160 Speaker 2: is naturally a volatile environment, said study author Jakin Thanga, 141 00:07:41,240 --> 00:07:43,800 Speaker 2: whose team at the University of Arizona submitted their report 142 00:07:44,240 --> 00:07:46,680 Speaker 2: Lunar Pits and Lava Tubes for a Modern Arc at 143 00:07:46,680 --> 00:07:51,480 Speaker 2: the Annual Institute of Electrical and Electronics Engineers Aerospace Conference. 144 00:07:51,080 --> 00:07:52,600 Speaker 3: On sounds fun. 145 00:07:54,040 --> 00:07:57,200 Speaker 2: So he's saying, dude, to like Earth's instability, it'd be 146 00:07:57,200 --> 00:07:59,440 Speaker 2: better if we had a sperm bank on the Moon. 147 00:07:59,680 --> 00:08:04,120 Speaker 2: But it definitely seems like the Moon is a pretty 148 00:08:04,400 --> 00:08:05,800 Speaker 2: rough environment. 149 00:08:06,080 --> 00:08:09,640 Speaker 6: Yeah, the Moon is not super friendly to humans. It 150 00:08:09,720 --> 00:08:12,400 Speaker 6: sounds kind of like we have like a seed bank 151 00:08:12,720 --> 00:08:15,400 Speaker 6: in where is it like Antarctica where they keep all 152 00:08:15,440 --> 00:08:18,840 Speaker 6: of the world's seeds of plants, and it sounds like 153 00:08:18,880 --> 00:08:21,480 Speaker 6: they're trying to do that for mammals. 154 00:08:22,640 --> 00:08:26,680 Speaker 2: That is exactly the second part of this article predicted 155 00:08:26,720 --> 00:08:27,320 Speaker 2: the article. 156 00:08:27,720 --> 00:08:30,120 Speaker 5: I did not read this article. I could assure you 157 00:08:30,160 --> 00:08:31,280 Speaker 5: I did not read this article. 158 00:08:31,440 --> 00:08:34,199 Speaker 1: Quickly turned the page, even looked at the article and 159 00:08:34,360 --> 00:08:36,959 Speaker 1: was like, no, I'm a scientist, No, thank. 160 00:08:36,720 --> 00:08:40,560 Speaker 2: You, Yeah, but yeah, I guess this is in case 161 00:08:40,559 --> 00:08:44,120 Speaker 2: there's some global annihilation event. Then people I don't know, 162 00:08:44,160 --> 00:08:45,880 Speaker 2: aliens are going to go to the moon and. 163 00:08:46,160 --> 00:08:47,839 Speaker 5: Asteroid like the dinosaurs. 164 00:08:47,880 --> 00:08:50,240 Speaker 6: I mean, that doesn't sound like the worst idea ever 165 00:08:50,400 --> 00:08:52,280 Speaker 6: I've ever heard, now that I think about it from 166 00:08:52,360 --> 00:08:53,079 Speaker 6: that context. 167 00:08:53,360 --> 00:08:55,560 Speaker 2: Sounds like scientists are planning the sperm. 168 00:08:57,720 --> 00:09:00,200 Speaker 5: I think this maybe we should read this this idea. 169 00:09:00,760 --> 00:09:03,880 Speaker 1: Okay, yeah, all right, but is it just going to 170 00:09:03,920 --> 00:09:07,880 Speaker 1: be some cold, boring like sell like they need to. 171 00:09:07,920 --> 00:09:10,600 Speaker 1: If they're going to do this, make it look awesome. 172 00:09:10,800 --> 00:09:13,560 Speaker 1: Make it like the coolest most decorated vault you've ever seen. 173 00:09:13,600 --> 00:09:15,440 Speaker 1: Make it look like a nursery, or make it look 174 00:09:15,559 --> 00:09:19,320 Speaker 1: like an arc Build a giant boat, put a long 175 00:09:19,400 --> 00:09:22,080 Speaker 1: John Silver's at one end with some robots that work it. 176 00:09:22,200 --> 00:09:24,319 Speaker 1: Just like, get into it, because that's how you get 177 00:09:24,320 --> 00:09:25,920 Speaker 1: Americans excited about things. 178 00:09:25,960 --> 00:09:28,079 Speaker 2: You have to you have to pitch it and make 179 00:09:28,120 --> 00:09:28,640 Speaker 2: it pretty. 180 00:09:28,720 --> 00:09:29,520 Speaker 3: Yeah. 181 00:09:29,720 --> 00:09:31,400 Speaker 2: Oh and by the way, this was sent in by 182 00:09:31,440 --> 00:09:33,600 Speaker 2: grapefruit Girl on of Coursgram. 183 00:09:33,720 --> 00:09:35,320 Speaker 3: Thankk you, grapefruit Girl. 184 00:09:36,120 --> 00:09:38,840 Speaker 2: So you started off you start off interning at NASA 185 00:09:39,080 --> 00:09:40,920 Speaker 2: right as a student. 186 00:09:41,360 --> 00:09:43,960 Speaker 6: Yes, when I was an undergrad. So I studied aerospace 187 00:09:44,000 --> 00:09:47,800 Speaker 6: engineering for eight years and wow, some of those summers 188 00:09:47,800 --> 00:09:50,840 Speaker 6: I worked at NASA. I worked at NASA Ames in 189 00:09:51,000 --> 00:09:55,560 Speaker 6: California and NASA Glenn, Ohio. And yeah, they were like 190 00:09:55,760 --> 00:09:59,520 Speaker 6: very cool experiences to just you know, have a few 191 00:09:59,520 --> 00:10:01,719 Speaker 6: weeks to understand what na's actually does. 192 00:10:02,520 --> 00:10:04,360 Speaker 2: Oh that's great. And then you and how did you 193 00:10:04,400 --> 00:10:06,120 Speaker 2: get into science communicating? 194 00:10:06,760 --> 00:10:11,000 Speaker 6: Yeah, well, I got a call from a production company 195 00:10:11,000 --> 00:10:14,760 Speaker 6: when I was graduating from MIT that was basically just like, 196 00:10:15,040 --> 00:10:16,960 Speaker 6: would you like to be the host of a space 197 00:10:17,040 --> 00:10:22,440 Speaker 6: TV show? They had like found me because throughout my 198 00:10:22,520 --> 00:10:25,679 Speaker 6: college experience, I was one of the few women in 199 00:10:25,840 --> 00:10:30,000 Speaker 6: engineering and I did particularly well. And I think that 200 00:10:30,559 --> 00:10:33,480 Speaker 6: the universities that I was part of they helped, especially 201 00:10:33,520 --> 00:10:37,200 Speaker 6: my undergrad West Virginia University, promoted me a lot to 202 00:10:37,360 --> 00:10:40,400 Speaker 6: talk about engineering and science and space and so there's 203 00:10:40,440 --> 00:10:42,080 Speaker 6: a lot of videos out there of me doing that. 204 00:10:42,360 --> 00:10:43,360 Speaker 5: And so I think when they. 205 00:10:43,280 --> 00:10:48,320 Speaker 6: Googled like space people, space girl, I came up. 206 00:10:50,400 --> 00:10:52,040 Speaker 5: And Yeah, they asked me if I wanted to do this. 207 00:10:52,080 --> 00:10:55,280 Speaker 6: I'd never had any experience with TV or production or 208 00:10:55,360 --> 00:10:58,680 Speaker 6: literally quite anything like it, and I said yes because 209 00:10:58,679 --> 00:11:00,560 Speaker 6: I thought it sounded like it and adventure. 210 00:11:00,640 --> 00:11:02,400 Speaker 5: And that was eight years ago. 211 00:11:02,520 --> 00:11:08,400 Speaker 2: Now that is crazy because when I watch your shows, 212 00:11:09,240 --> 00:11:12,920 Speaker 2: you are very you. I've hosted shows before, and I 213 00:11:13,000 --> 00:11:16,680 Speaker 2: know that it is no easy task to speak direct 214 00:11:16,679 --> 00:11:18,920 Speaker 2: to camera and keep it feeling like alive and like 215 00:11:18,960 --> 00:11:21,240 Speaker 2: you're just thinking of it as you're saying it, and 216 00:11:21,400 --> 00:11:24,880 Speaker 2: you are. You're excellent at it, You're very Yep, you 217 00:11:24,920 --> 00:11:25,520 Speaker 2: do a great job. 218 00:11:25,600 --> 00:11:27,560 Speaker 5: Well, thank you. I think you should look at my 219 00:11:27,720 --> 00:11:28,400 Speaker 5: early work. 220 00:11:29,960 --> 00:11:31,679 Speaker 2: Hey, there's a learning curve for everything. 221 00:11:31,720 --> 00:11:32,760 Speaker 5: There's a learning curve. 222 00:11:33,559 --> 00:11:37,560 Speaker 6: And I think I am just good at criticizing myself 223 00:11:37,840 --> 00:11:41,439 Speaker 6: highly and so I'll just like watch myself and be like, gross, 224 00:11:41,480 --> 00:11:42,360 Speaker 6: why do I hate that? 225 00:11:42,400 --> 00:11:43,679 Speaker 5: And then try to figure out. 226 00:11:43,800 --> 00:11:45,480 Speaker 3: Right, that's really true. 227 00:11:45,800 --> 00:11:48,200 Speaker 1: A lot of stand up comedians start to get their 228 00:11:48,240 --> 00:11:52,640 Speaker 1: first TV appearances, and that you can you only it's 229 00:11:52,640 --> 00:11:54,760 Speaker 1: only when you see yourself on TV so many times, 230 00:11:54,800 --> 00:11:56,880 Speaker 1: even when it's edited, and like if you have no 231 00:11:57,280 --> 00:12:00,120 Speaker 1: part in the in the editing, you see yourself and 232 00:12:00,160 --> 00:12:01,559 Speaker 1: you go, I didn't know I did that. 233 00:12:01,679 --> 00:12:03,720 Speaker 3: I didn't know I look like that. I didn't know. 234 00:12:03,800 --> 00:12:05,800 Speaker 3: I like held my head that way, And it. 235 00:12:05,800 --> 00:12:10,480 Speaker 1: Is the fastest way to make big adjustments in your 236 00:12:11,000 --> 00:12:13,079 Speaker 1: looks and mannerisms and everything. 237 00:12:13,120 --> 00:12:15,119 Speaker 3: It's crazy, Yeah, first. 238 00:12:15,000 --> 00:12:18,080 Speaker 2: My first stand up was on John Oliver's stand up 239 00:12:18,080 --> 00:12:20,760 Speaker 2: special on Comedy Central, and I had brought a shirt. 240 00:12:20,800 --> 00:12:24,480 Speaker 2: I'd like shopped for hours to find the right shirt 241 00:12:25,040 --> 00:12:27,760 Speaker 2: to bring, and I brought it and then they like 242 00:12:27,920 --> 00:12:30,360 Speaker 2: tested it and it just happened to be the exact 243 00:12:30,440 --> 00:12:34,000 Speaker 2: same color as the background, and they're like, you can't 244 00:12:34,000 --> 00:12:35,880 Speaker 2: wear their shirt, and so then I end up they're like, 245 00:12:35,920 --> 00:12:37,800 Speaker 2: literally like you can have this shirt. And it was 246 00:12:37,840 --> 00:12:40,520 Speaker 2: literally like just a shirt that was lying around and 247 00:12:40,559 --> 00:12:42,480 Speaker 2: it was like way too big for me and it 248 00:12:42,520 --> 00:12:45,240 Speaker 2: was this horrible color. And so my first and it 249 00:12:45,320 --> 00:12:47,080 Speaker 2: was like literally like right before we were going on, 250 00:12:47,120 --> 00:12:48,960 Speaker 2: I was like fine, and I put it on. And 251 00:12:49,040 --> 00:12:51,280 Speaker 2: so my first like stand up performances in this like 252 00:12:51,440 --> 00:12:56,079 Speaker 2: really oversized blouse, like light light blue shirt. 253 00:12:56,240 --> 00:12:59,080 Speaker 6: God, what a way to like kick your confidence right 254 00:12:59,120 --> 00:13:01,000 Speaker 6: before you're supposed to be funny. 255 00:13:01,800 --> 00:13:02,520 Speaker 3: It happens. 256 00:13:02,640 --> 00:13:07,640 Speaker 1: I went down to West Virginia University my junior year 257 00:13:07,679 --> 00:13:09,719 Speaker 1: of college. I had a friend who's younger brother is 258 00:13:09,760 --> 00:13:11,720 Speaker 1: a freshman there, and I went to UMass. So I 259 00:13:11,760 --> 00:13:15,480 Speaker 1: went to a big state school, and UMass is also 260 00:13:15,600 --> 00:13:18,880 Speaker 1: known as a party school. It's a very like all 261 00:13:18,960 --> 00:13:22,040 Speaker 1: the colleges around there, even the colleges in Boston, and 262 00:13:22,120 --> 00:13:24,200 Speaker 1: like Harvard, all the schools come to U Mass to. 263 00:13:24,240 --> 00:13:25,319 Speaker 3: Party on weekends. 264 00:13:26,280 --> 00:13:30,760 Speaker 1: We don't compete with West Virginia University. I we met, 265 00:13:30,920 --> 00:13:34,280 Speaker 1: It was long drive. It was right after nine to eleven, 266 00:13:34,400 --> 00:13:36,520 Speaker 1: so we drove. We were like, everybody's still a little 267 00:13:36,559 --> 00:13:39,560 Speaker 1: skittish about flying, and so we drive down and we 268 00:13:39,640 --> 00:13:42,199 Speaker 1: meet my friend's younger brother. They all have fake id's. 269 00:13:42,280 --> 00:13:44,280 Speaker 1: We go out to bars. It was like quarter pitchers. 270 00:13:44,320 --> 00:13:47,120 Speaker 1: It was wild, and we just spent the whole night 271 00:13:47,160 --> 00:13:48,840 Speaker 1: kind of doing that. And then when we eventually went 272 00:13:48,960 --> 00:13:52,480 Speaker 1: to this off campus house where I don't know, six 273 00:13:52,600 --> 00:13:58,600 Speaker 1: college freshmen and sophomore lived. There was no door on 274 00:13:58,640 --> 00:14:02,160 Speaker 1: the house. The house had no door. There were leaves 275 00:14:02,200 --> 00:14:05,839 Speaker 1: and sticks blowing into the door. This is November December. 276 00:14:06,960 --> 00:14:10,400 Speaker 1: I was on winter break and I slept in the 277 00:14:10,480 --> 00:14:13,839 Speaker 1: living room upstairs on a horrible, disgusting fouton that I'm 278 00:14:13,880 --> 00:14:18,720 Speaker 1: still taking penicillin four, and we in the morning. I 279 00:14:18,840 --> 00:14:21,720 Speaker 1: was so cold and I looked down and snow had 280 00:14:21,760 --> 00:14:25,320 Speaker 1: blown into the house. And his younger brother comes up 281 00:14:25,360 --> 00:14:28,520 Speaker 1: and goes, man, it's cold, it snowed, And I go 282 00:14:28,640 --> 00:14:31,720 Speaker 1: oh yeah, did it. I've been laying wide awake, freezing 283 00:14:31,760 --> 00:14:33,920 Speaker 1: all night. So I go, when did you guys lose 284 00:14:33,960 --> 00:14:37,520 Speaker 1: your front door? He goes, We had a party the 285 00:14:37,560 --> 00:14:40,160 Speaker 1: first week we got the house and somebody ripped the 286 00:14:40,200 --> 00:14:43,440 Speaker 1: door off to make a beer bomb table. So from 287 00:14:43,480 --> 00:14:47,800 Speaker 1: September to December, they just were door free and I 288 00:14:47,880 --> 00:14:51,320 Speaker 1: was morto, baby, what a school? 289 00:14:51,400 --> 00:14:54,120 Speaker 5: Okay, well, yeah there is one experience. Yeah. 290 00:14:54,360 --> 00:14:57,120 Speaker 6: What I love about WU is that we definitely have 291 00:14:57,240 --> 00:15:00,720 Speaker 6: that party reputation, and I think sure, on one hand, 292 00:15:00,760 --> 00:15:05,680 Speaker 6: it teaches people lots of really great social skills, because 293 00:15:05,880 --> 00:15:09,000 Speaker 6: engineers and scientists are not usually known for being the 294 00:15:09,000 --> 00:15:13,240 Speaker 6: most socially adept humans, and so I am very grateful 295 00:15:13,240 --> 00:15:17,800 Speaker 6: that I went to a school that valued social interaction. 296 00:15:18,560 --> 00:15:23,640 Speaker 6: But at the same time, I mean, their engineering college 297 00:15:23,920 --> 00:15:25,840 Speaker 6: is one of the top ones in the country. We 298 00:15:25,920 --> 00:15:30,200 Speaker 6: have robotics competitions every year that are NASA sponsored and 299 00:15:30,560 --> 00:15:36,000 Speaker 6: consistently WVU teams beat teams from MIT and Carnaki Mellon 300 00:15:36,080 --> 00:15:38,160 Speaker 6: and like these names that you recognize as like. 301 00:15:38,200 --> 00:15:40,080 Speaker 5: Really smart schools, especially when it. 302 00:15:40,000 --> 00:15:43,320 Speaker 6: Comes to robotics, and it's like WVU, I feel like 303 00:15:43,360 --> 00:15:46,360 Speaker 6: has got a really cool combination of all of those things. 304 00:15:47,000 --> 00:15:50,360 Speaker 2: Absolutely, that was great. Absolutely that reminds me of your 305 00:15:50,400 --> 00:15:56,480 Speaker 2: ted X talk about Cole and about making science nicer, 306 00:15:56,600 --> 00:16:00,200 Speaker 2: and I think that's such a critical idea. Could you 307 00:16:00,240 --> 00:16:02,560 Speaker 2: briefly sum up what you're talking about in that for 308 00:16:02,560 --> 00:16:03,480 Speaker 2: people who haven't seen it. 309 00:16:03,640 --> 00:16:07,640 Speaker 6: Yeah, Basically, I talk about how being from West Virginia 310 00:16:08,120 --> 00:16:12,080 Speaker 6: and knowing that West Virginia is number one in the 311 00:16:12,240 --> 00:16:15,160 Speaker 6: entire country when it comes to fewest percentage of people 312 00:16:15,160 --> 00:16:18,200 Speaker 6: that believe the global warming is happening, and also being 313 00:16:18,240 --> 00:16:22,400 Speaker 6: a science communicator that has totally influenced the way that 314 00:16:22,480 --> 00:16:25,800 Speaker 6: I talk about science because I know that the people 315 00:16:25,880 --> 00:16:30,240 Speaker 6: from West Virginia the reason that they don't believe in 316 00:16:30,280 --> 00:16:32,840 Speaker 6: climate change, or some people from West Virginia don't believe 317 00:16:32,840 --> 00:16:35,760 Speaker 6: in climate change. It's like a very nuanced issue, and 318 00:16:35,800 --> 00:16:38,440 Speaker 6: it mostly has to do with how powerful the coal 319 00:16:38,480 --> 00:16:42,160 Speaker 6: industry is there the influence what's being taught to children. 320 00:16:42,680 --> 00:16:46,080 Speaker 6: They pay for kids to go on cute field trips 321 00:16:46,120 --> 00:16:49,760 Speaker 6: to coal mines, they pay for so many various commercials, 322 00:16:49,760 --> 00:16:52,600 Speaker 6: they pay for so many various politicians, and so it's 323 00:16:52,640 --> 00:16:57,720 Speaker 6: like this culture of brainwashing in general. And when I 324 00:16:57,760 --> 00:17:00,400 Speaker 6: talk about science and climate change. I think of all 325 00:17:00,400 --> 00:17:02,240 Speaker 6: of these kids, and I think of these people, and 326 00:17:02,280 --> 00:17:04,840 Speaker 6: I think you have to first address all of the 327 00:17:04,920 --> 00:17:08,720 Speaker 6: issues that they've faced from the dying coal industry. 328 00:17:08,359 --> 00:17:10,080 Speaker 5: Which is like they've lost their jobs. 329 00:17:10,119 --> 00:17:12,000 Speaker 6: I mean, my dad lost his job at a coal 330 00:17:12,000 --> 00:17:13,280 Speaker 6: company when I was growing up. 331 00:17:13,359 --> 00:17:13,560 Speaker 5: Like that. 332 00:17:13,840 --> 00:17:17,639 Speaker 6: It's such an inherently West Virginian experience to have some 333 00:17:19,080 --> 00:17:22,720 Speaker 6: problem that you face because the coal industry has gone under. 334 00:17:23,640 --> 00:17:25,800 Speaker 5: And so before we talk about. 335 00:17:25,520 --> 00:17:27,840 Speaker 6: Climate change, we kind of have to first address that 336 00:17:28,040 --> 00:17:31,359 Speaker 6: economic issue and all the problems that flow from it 337 00:17:31,520 --> 00:17:33,359 Speaker 6: before we talk about education. 338 00:17:34,480 --> 00:17:37,760 Speaker 2: Wow. Yeah, And I love that. It really resonated with 339 00:17:37,800 --> 00:17:42,280 Speaker 2: me because I do see oftentimes science communicators, especially on Twitter, 340 00:17:42,600 --> 00:17:48,000 Speaker 2: where it's like, you dumb fucks, horrible warming is real, 341 00:17:48,119 --> 00:17:50,840 Speaker 2: go fuck yourself, And I'm just like, no one is 342 00:17:50,880 --> 00:17:53,840 Speaker 2: being convinced by that argument, and it's such a critical 343 00:17:54,000 --> 00:17:55,760 Speaker 2: that's like one of the main things we need to 344 00:17:56,040 --> 00:17:58,080 Speaker 2: do in order to live on this planet. 345 00:17:58,200 --> 00:18:00,840 Speaker 6: Yeah, telling them they're stupid is not usually the most 346 00:18:00,880 --> 00:18:02,560 Speaker 6: effective way to change their minds. 347 00:18:03,520 --> 00:18:09,120 Speaker 3: Nope, no, Gotti, you got all right. Yeah, let's let's 348 00:18:09,160 --> 00:18:10,360 Speaker 3: dumb it down a little bit. 349 00:18:10,440 --> 00:18:14,400 Speaker 1: Ac Parker seventeen AC Parker seventeen sent this in Thank 350 00:18:14,440 --> 00:18:19,760 Speaker 1: you so much. A woman diagnosed with Crohn's disease actually 351 00:18:19,840 --> 00:18:22,560 Speaker 1: had a Ketchup packet in her intestine for six years. 352 00:18:23,760 --> 00:18:29,320 Speaker 1: So this was written by the one, the only, Jessica Shota. 353 00:18:28,960 --> 00:18:32,200 Speaker 2: Beck, the best in the Kurt. 354 00:18:32,040 --> 00:18:35,239 Speaker 1: She's so good at typing. It's crazy and New York 355 00:18:35,359 --> 00:18:38,360 Speaker 1: Daily News. This was everywhere sent in by so many 356 00:18:38,440 --> 00:18:40,639 Speaker 1: ban animals, but A. C. Parker seventeen was the first. 357 00:18:41,680 --> 00:18:44,960 Speaker 1: Crone sucks. We all know that a woman's believed she 358 00:18:45,040 --> 00:18:49,120 Speaker 1: was suffering from Crone's disease for six years until doctors 359 00:18:49,600 --> 00:18:52,840 Speaker 1: performed a surgery and discovered a Ketchup packet in the 360 00:18:52,880 --> 00:18:57,240 Speaker 1: lining of her intestine. The four I know, there's a 361 00:18:57,240 --> 00:19:00,199 Speaker 1: lot of questions. The forty one year old patient had 362 00:19:00,240 --> 00:19:04,280 Speaker 1: symptoms consistent with the serious bowel disease, including acute abdominal pain, 363 00:19:04,400 --> 00:19:07,680 Speaker 1: I bet, bloating that sometimes lasted up to three days. 364 00:19:08,320 --> 00:19:09,320 Speaker 3: But she was not. 365 00:19:09,400 --> 00:19:12,200 Speaker 2: Sometimes just eating ketchup packets. 366 00:19:12,560 --> 00:19:16,639 Speaker 1: Yeah, just snacking on condiments. 367 00:19:17,200 --> 00:19:17,440 Speaker 3: Yeah. 368 00:19:17,480 --> 00:19:21,439 Speaker 1: Maybe not the smartest digestive decision, but she wasn't real 369 00:19:21,440 --> 00:19:25,520 Speaker 1: spending the standard medical treatments. Doctors at Heatherwood in Wexham 370 00:19:25,560 --> 00:19:29,000 Speaker 1: Park Hospital eventually opted for surgery, where they uncovered the 371 00:19:29,040 --> 00:19:33,760 Speaker 1: root of the patient's pain. Too small foreign objects had 372 00:19:33,800 --> 00:19:36,960 Speaker 1: pierced the woman's intestine and left it inflamed. 373 00:19:37,600 --> 00:19:38,639 Speaker 3: Uh. 374 00:19:38,840 --> 00:19:42,600 Speaker 1: The second one, it was two packets with pions on that. 375 00:19:42,960 --> 00:19:45,600 Speaker 3: So you know, nobody can eat just one. 376 00:19:45,880 --> 00:19:47,919 Speaker 2: You can never eat just one Ketchup packet. 377 00:19:49,760 --> 00:19:54,440 Speaker 1: So the doctors immediately removed the plastic Ketchup wrappers, and 378 00:19:54,480 --> 00:19:57,120 Speaker 1: the symptoms dissipated almost immediately. 379 00:19:57,520 --> 00:19:58,320 Speaker 3: She remained, I. 380 00:19:58,320 --> 00:20:00,159 Speaker 2: Mean, like, what a relief for that woman. I'm I mean, 381 00:20:00,160 --> 00:20:03,119 Speaker 2: like crones is such a difficult disease to deal with, Yes, 382 00:20:03,119 --> 00:20:05,639 Speaker 2: and then just to know that the best part is 383 00:20:06,160 --> 00:20:09,120 Speaker 2: like does she remember eating the Ketchup packets? 384 00:20:09,240 --> 00:20:12,600 Speaker 1: Kurt, you're so good at segways. I will hug you 385 00:20:12,640 --> 00:20:16,280 Speaker 1: when we're allowed to. She remained in good conditions and surgery. 386 00:20:16,480 --> 00:20:19,560 Speaker 1: The woman said she had no memory of eating the 387 00:20:20,320 --> 00:20:21,640 Speaker 1: satchet of sauce. 388 00:20:21,840 --> 00:20:23,760 Speaker 3: Okay, calm down, Jessica. 389 00:20:23,640 --> 00:20:26,920 Speaker 1: The satchet of sauce, nor a meal where she would 390 00:20:26,960 --> 00:20:31,680 Speaker 1: have mistakenly done. So she doesn't drinking, right, maybe drinking 391 00:20:31,760 --> 00:20:33,800 Speaker 1: we're thinking maybe or just. 392 00:20:34,080 --> 00:20:40,000 Speaker 2: Dare some kind right? Yes, it was terrifying as a 393 00:20:40,040 --> 00:20:44,000 Speaker 2: man who's eating a quarter on like just for fun? Yeah, 394 00:20:44,440 --> 00:20:46,840 Speaker 2: I had no idea these things could happen, these bad 395 00:20:46,880 --> 00:20:47,679 Speaker 2: things could happen. 396 00:20:49,320 --> 00:20:50,640 Speaker 5: Was there any context to that? 397 00:20:51,240 --> 00:20:51,400 Speaker 3: Oh? 398 00:20:51,440 --> 00:20:54,840 Speaker 2: I was doing a magic trick. Oh okay, that wasn't magic. 399 00:20:54,880 --> 00:20:57,359 Speaker 2: I was faking magic. And then I popped a corner 400 00:20:57,440 --> 00:20:57,720 Speaker 2: in my. 401 00:20:57,680 --> 00:20:59,479 Speaker 5: Mouth, but you didn't actually eat it. 402 00:20:59,520 --> 00:21:02,280 Speaker 2: And I swallowed it and he did swallow it. And 403 00:21:02,280 --> 00:21:05,399 Speaker 2: the people first were like, that's amazing magic trick. And 404 00:21:05,400 --> 00:21:07,520 Speaker 2: then they're like, wait, did you just swallow quarter? And 405 00:21:07,520 --> 00:21:09,200 Speaker 2: then they got very grossed out by. 406 00:21:09,080 --> 00:21:11,000 Speaker 5: Me, and also, are you okay? 407 00:21:11,520 --> 00:21:14,520 Speaker 2: Do you feel like time think I have changed? I 408 00:21:14,560 --> 00:21:15,720 Speaker 2: don't think I have changed in me. 409 00:21:16,760 --> 00:21:20,159 Speaker 1: Two dimes in a nickel four weeks later. This is 410 00:21:20,200 --> 00:21:22,240 Speaker 1: not the This is not the first time the sort 411 00:21:22,240 --> 00:21:25,000 Speaker 1: of things has happened. There was a similar case involving 412 00:21:25,000 --> 00:21:27,199 Speaker 1: a thirty five year old man. This one's a little 413 00:21:27,560 --> 00:21:30,920 Speaker 1: more understandable, maybe, who believed that he had crun disease 414 00:21:30,960 --> 00:21:34,440 Speaker 1: until surge revealed it was a toothpick. 415 00:21:34,000 --> 00:21:35,280 Speaker 3: In his intestine. 416 00:21:36,240 --> 00:21:36,400 Speaker 6: Uh. 417 00:21:36,800 --> 00:21:39,399 Speaker 1: Doctors say that this is the first time that quotes 418 00:21:39,440 --> 00:21:44,320 Speaker 1: synthetic plastic packaging mimic symptoms of a life altering disease. 419 00:21:44,560 --> 00:21:45,720 Speaker 3: There we go. 420 00:21:46,960 --> 00:21:51,160 Speaker 1: Oh my god, fascinating. I mean, it is a relief, 421 00:21:51,440 --> 00:21:54,480 Speaker 1: you know, a lifelong thing. I'm sure this was extremely painful. 422 00:21:54,680 --> 00:21:57,880 Speaker 3: And then now she's free bird. 423 00:21:57,960 --> 00:22:02,959 Speaker 2: But that is weird to catch a packs too. I 424 00:22:02,960 --> 00:22:05,600 Speaker 2: can't imagine a situation in which I eat one. I'm 425 00:22:05,600 --> 00:22:07,480 Speaker 2: gonna be I'm gonna be honest with you. 426 00:22:07,480 --> 00:22:08,879 Speaker 5: You ate a quarter. 427 00:22:09,119 --> 00:22:13,119 Speaker 6: I think that you probably could imagine. 428 00:22:14,920 --> 00:22:16,840 Speaker 2: I mean, I can imagine it, but I can't imagine 429 00:22:16,880 --> 00:22:18,520 Speaker 2: doing it and then being like I have no you 430 00:22:18,600 --> 00:22:18,879 Speaker 2: know how. 431 00:22:20,840 --> 00:22:23,000 Speaker 1: And it made it pretty far as far as you know, 432 00:22:23,040 --> 00:22:25,560 Speaker 1: the ketchupacket made it pretty far. It made it, you know, 433 00:22:25,600 --> 00:22:27,480 Speaker 1: you would think she would maybe choke on it or 434 00:22:27,600 --> 00:22:30,199 Speaker 1: fielding in this thing. 435 00:22:30,280 --> 00:22:33,640 Speaker 2: She might have been a couple of years away from freedom. Gosh. 436 00:22:33,880 --> 00:22:38,399 Speaker 1: I I had a buddy who was a roommate in college, 437 00:22:38,480 --> 00:22:40,320 Speaker 1: and I used to just sign him up for everything 438 00:22:40,680 --> 00:22:42,520 Speaker 1: when the internet was sort of new and amazing. So 439 00:22:42,520 --> 00:22:45,320 Speaker 1: I would he would get you know, free diapers and 440 00:22:45,760 --> 00:22:49,000 Speaker 1: uh a baby formula and bibles and anything you could 441 00:22:49,000 --> 00:22:50,879 Speaker 1: go online and just put somebody's address in. 442 00:22:51,280 --> 00:22:51,840 Speaker 3: He would get it. 443 00:22:51,880 --> 00:22:54,800 Speaker 1: My buddy John and I must have done it one 444 00:22:54,800 --> 00:22:58,720 Speaker 1: time where I entered him in a Heinz ketchup slogan contest. 445 00:22:58,720 --> 00:23:01,640 Speaker 1: It was called say something and ketchup and he won. 446 00:23:02,359 --> 00:23:04,919 Speaker 1: So I was sitting in my living room and he 447 00:23:04,960 --> 00:23:07,000 Speaker 1: walks out. John walks out of his bedroom and he's like, 448 00:23:07,080 --> 00:23:11,200 Speaker 1: did somebody enter me in the Hines say something ketchupy contest? 449 00:23:11,320 --> 00:23:13,520 Speaker 2: I have a question. Is this the guy? Is this 450 00:23:13,520 --> 00:23:16,320 Speaker 2: the guy who play guitar in the park with his 451 00:23:16,800 --> 00:23:17,480 Speaker 2: no no no. 452 00:23:17,440 --> 00:23:19,720 Speaker 3: That was in Brooklyn. That was that was. 453 00:23:20,040 --> 00:23:24,360 Speaker 1: We'll call him Zaye for future stories. Emily, I may 454 00:23:24,400 --> 00:23:27,720 Speaker 1: have lived with a serial killer, but we'll figure. We're 455 00:23:27,760 --> 00:23:30,479 Speaker 1: working on it. Kurt met him, he can back it up. 456 00:23:32,000 --> 00:23:34,600 Speaker 1: But so and I forgot I did. I used to 457 00:23:34,600 --> 00:23:36,960 Speaker 1: just go to the university library and just sit there 458 00:23:36,960 --> 00:23:39,280 Speaker 1: and google like free stuff. 459 00:23:39,000 --> 00:23:41,680 Speaker 3: And so Hines. 460 00:23:41,760 --> 00:23:45,440 Speaker 1: The idea was that if you had the winning slogan 461 00:23:45,640 --> 00:23:48,719 Speaker 1: for their label, they would print like one million bottles 462 00:23:48,800 --> 00:23:51,480 Speaker 1: with it. You'd win five thousand bucks and something else. 463 00:23:51,840 --> 00:23:53,760 Speaker 1: So I was like, we're rich. I was like, I 464 00:23:53,800 --> 00:23:56,960 Speaker 1: did it. I did it for you, and he said, well, 465 00:23:56,960 --> 00:23:59,320 Speaker 1: they have like a letter and then the letter said 466 00:23:59,359 --> 00:24:03,480 Speaker 1: like you won. Uh, here's a T shirt that says 467 00:24:03,480 --> 00:24:06,280 Speaker 1: your logo with a but that they weren't putting my 468 00:24:06,480 --> 00:24:10,119 Speaker 1: slogan on because, uh, they gave it to this other one. 469 00:24:10,240 --> 00:24:13,360 Speaker 1: That and the other one I remember was the best if, 470 00:24:13,680 --> 00:24:16,879 Speaker 1: best if Eaten, best if Eaten, which is so boring. 471 00:24:16,960 --> 00:24:19,879 Speaker 3: That's not great, And so they put that on a 472 00:24:19,880 --> 00:24:20,560 Speaker 3: million bottles. 473 00:24:20,720 --> 00:24:24,920 Speaker 1: Mine was take me to your Wiener, and they refuse 474 00:24:25,040 --> 00:24:26,760 Speaker 1: to put it on, and I actually got an email 475 00:24:26,800 --> 00:24:31,760 Speaker 1: that was like, you won, but uh, we're not going 476 00:24:31,800 --> 00:24:34,399 Speaker 1: to take me to your wiener. Yeah, we're not taking 477 00:24:34,600 --> 00:24:37,440 Speaker 1: take me to your wiener. It was so sweet and 478 00:24:37,960 --> 00:24:40,800 Speaker 1: I think John stills the shirt John wear it to 479 00:24:40,840 --> 00:24:44,159 Speaker 1: my wedding. KURTI, B do you want to tease us 480 00:24:44,200 --> 00:24:45,200 Speaker 1: into an awesome break? 481 00:24:45,600 --> 00:24:47,479 Speaker 2: I will tease this into an awesome break. How does 482 00:24:47,520 --> 00:24:53,680 Speaker 2: that sound? Halifax man receives mysterious three headed taxidermic Duckling 483 00:24:53,720 --> 00:24:54,200 Speaker 2: in the mail. 484 00:24:55,520 --> 00:24:57,320 Speaker 1: Emily, I think you get the vibe of our show, 485 00:24:57,359 --> 00:25:00,320 Speaker 1: and obviously on these three stories alone. 486 00:25:00,119 --> 00:25:03,159 Speaker 6: We're I feel like I spend so much time on 487 00:25:03,200 --> 00:25:06,840 Speaker 6: Twitter and reading so many news stories and I have 488 00:25:07,119 --> 00:25:10,399 Speaker 6: never in my life come across stories like this. 489 00:25:11,040 --> 00:25:14,639 Speaker 2: These are from this week, so it's a weird world. 490 00:25:15,160 --> 00:25:31,240 Speaker 7: Welcome the bananas, Bananas BAA. 491 00:25:36,640 --> 00:25:41,200 Speaker 2: Ladies and gentlemen, we are back Scotti. What should we 492 00:25:41,240 --> 00:25:45,000 Speaker 2: tell everybody before we bring our sweet guests back on? Oh? 493 00:25:45,040 --> 00:25:47,639 Speaker 1: Well, what we should say is you can call the 494 00:25:47,680 --> 00:25:49,840 Speaker 1: Banana phone. I'm still answering it. I think I have 495 00:25:49,920 --> 00:25:52,320 Speaker 1: to do it until August. So keep calling me two 496 00:25:52,359 --> 00:25:55,000 Speaker 1: one three two one four seven nine seven four. I 497 00:25:55,000 --> 00:25:58,080 Speaker 1: have had a million great conversations, and I have some 498 00:25:58,200 --> 00:26:01,560 Speaker 1: Australians and some Kiwis call me now. And Luke on 499 00:26:01,600 --> 00:26:04,120 Speaker 1: the South Island, who told me not to mention him, 500 00:26:04,200 --> 00:26:05,600 Speaker 1: has called me from New Zealand twice. 501 00:26:05,680 --> 00:26:07,680 Speaker 3: Luke, I love you. I hope you're still listening. 502 00:26:07,880 --> 00:26:10,879 Speaker 1: And send us your weird news stories so you can 503 00:26:10,960 --> 00:26:14,520 Speaker 1: keep confusing our wonderful guest like Emily uh to the 504 00:26:14,640 --> 00:26:18,520 Speaker 1: Bananas Podcast at gmail dot com or the Bananas Podcast 505 00:26:18,600 --> 00:26:19,440 Speaker 1: on Instagram. 506 00:26:19,560 --> 00:26:20,880 Speaker 3: And you're the best. 507 00:26:21,320 --> 00:26:25,440 Speaker 2: You are the best, Emily Callandrelly is our guest. She's 508 00:26:25,480 --> 00:26:30,280 Speaker 2: absolutely wonderful. Is there going to be another serious season? 509 00:26:30,840 --> 00:26:31,159 Speaker 3: Question? 510 00:26:31,440 --> 00:26:33,160 Speaker 2: Wonder lab That's a great question. 511 00:26:33,320 --> 00:26:35,800 Speaker 5: That is the question that I am. 512 00:26:35,680 --> 00:26:39,560 Speaker 2: Also asking right now. You're on tender Hucks waiting. 513 00:26:39,840 --> 00:26:41,040 Speaker 5: I would love it. 514 00:26:41,080 --> 00:26:44,399 Speaker 6: I think the impact that this type of show had 515 00:26:44,720 --> 00:26:47,000 Speaker 6: is one that I haven't seen in a long time. 516 00:26:47,320 --> 00:26:51,280 Speaker 5: Yeah, especially if you, like, I mean, if you're a parent. 517 00:26:52,680 --> 00:26:57,520 Speaker 6: Finding science material that is fun to watch for kids. 518 00:26:57,760 --> 00:27:02,720 Speaker 6: Kids just enjoy that is easy to watch for parents, 519 00:27:03,880 --> 00:27:06,920 Speaker 6: and that the scientific community looks at and is like, Yeah, 520 00:27:06,920 --> 00:27:07,560 Speaker 6: that checks out. 521 00:27:07,600 --> 00:27:08,360 Speaker 5: That's legitimate. 522 00:27:08,400 --> 00:27:11,919 Speaker 6: That's there, You're learning all the right things. Like it 523 00:27:11,960 --> 00:27:15,040 Speaker 6: has all of those things. And the bonus is that 524 00:27:15,080 --> 00:27:18,359 Speaker 6: it's toasted by a woman, which is nice because like 525 00:27:18,440 --> 00:27:21,800 Speaker 6: for me growing up, the only science people I saw 526 00:27:22,040 --> 00:27:25,679 Speaker 6: on TV, in movies that I read about in books 527 00:27:26,240 --> 00:27:31,280 Speaker 6: all guys, all guys. And I think that sometimes maybe 528 00:27:31,720 --> 00:27:35,520 Speaker 6: people who work at networks don't quite understand how unique 529 00:27:36,000 --> 00:27:39,520 Speaker 6: that is to have something like that. And so I 530 00:27:39,520 --> 00:27:42,440 Speaker 6: mean on Halloween, I had a ton of girls around 531 00:27:42,440 --> 00:27:46,119 Speaker 6: the world press up as me because they wanted to 532 00:27:46,119 --> 00:27:47,600 Speaker 6: be a scientist for Halloween. 533 00:27:47,920 --> 00:27:49,240 Speaker 2: Cool And I'm like how And. 534 00:27:49,200 --> 00:27:51,200 Speaker 5: Some of them even put like a pillow in their 535 00:27:51,240 --> 00:27:51,800 Speaker 5: stomach to. 536 00:27:51,760 --> 00:27:56,000 Speaker 8: Be It's like that's what they said, that's what they 537 00:27:56,040 --> 00:28:00,160 Speaker 8: thought a scientist look like, which is mind shifting. It's 538 00:28:00,160 --> 00:28:04,320 Speaker 8: like completely, it's a shift in how you think about 539 00:28:04,600 --> 00:28:06,760 Speaker 8: what a scientist and an engineer looks. 540 00:28:06,560 --> 00:28:08,919 Speaker 2: Like, yeah, when I dress up as a scientist, I 541 00:28:09,000 --> 00:28:11,320 Speaker 2: have to be pregnant because scientists are. 542 00:28:10,920 --> 00:28:11,879 Speaker 5: Scientists are pregnant. 543 00:28:11,880 --> 00:28:15,399 Speaker 6: Scientists are also moms, and so yeah, and so we 544 00:28:15,480 --> 00:28:18,480 Speaker 6: are crossing our fingers that it gets picked up because like, 545 00:28:18,520 --> 00:28:23,120 Speaker 6: the problem the challenges is that cartoons are cheaper, right, right, 546 00:28:23,440 --> 00:28:26,359 Speaker 6: And so I think there has to be some sort 547 00:28:26,359 --> 00:28:28,679 Speaker 6: of business decision made to say, yeah, we want to 548 00:28:28,680 --> 00:28:32,400 Speaker 6: invest in something like this because it did well by numbers, 549 00:28:32,400 --> 00:28:36,280 Speaker 6: but it also has value, and so I think unless 550 00:28:36,320 --> 00:28:39,920 Speaker 6: you consider the value add then you're always going to 551 00:28:40,040 --> 00:28:41,160 Speaker 6: just make more cartoons. 552 00:28:41,200 --> 00:28:44,840 Speaker 5: But hopefully yeah, yeah. 553 00:28:44,320 --> 00:28:46,400 Speaker 2: I think that's what Comedy Central's done. They are now 554 00:28:46,400 --> 00:28:51,280 Speaker 2: only cartoons. 555 00:28:49,000 --> 00:28:54,840 Speaker 1: Funny, nobody, Yeah, sop and animals. If you haven't watched 556 00:28:54,880 --> 00:28:57,480 Speaker 1: Emily's Wonder Level Netflix, watch the hell out of it. 557 00:28:57,600 --> 00:29:01,880 Speaker 1: The Netflix cares more about numbers than anywhere else, any 558 00:29:02,000 --> 00:29:04,400 Speaker 1: other streamer, So every person here who has never seen it, 559 00:29:04,800 --> 00:29:07,600 Speaker 1: especially of your kids, but also if you're just curious 560 00:29:07,600 --> 00:29:10,960 Speaker 1: about science, watch it. Leave it on when you go 561 00:29:11,040 --> 00:29:13,040 Speaker 1: to school, Watch the hell out of it. 562 00:29:14,360 --> 00:29:16,120 Speaker 5: Agreed, Yes, I love all of that. 563 00:29:16,600 --> 00:29:18,400 Speaker 2: I hope all right, you want to hear about this 564 00:29:18,800 --> 00:29:19,880 Speaker 2: taxidermic duckling. 565 00:29:20,160 --> 00:29:21,960 Speaker 3: More than anything in my whole life, Kurt. 566 00:29:22,560 --> 00:29:25,479 Speaker 2: This was sent in by a whole ton of an animal. 567 00:29:25,560 --> 00:29:30,160 Speaker 2: It was te Nicole Holland was the first one I saw. 568 00:29:30,320 --> 00:29:33,480 Speaker 2: Is in our favorite c B. 569 00:29:34,040 --> 00:29:36,520 Speaker 3: C Hey, Canada. 570 00:29:36,600 --> 00:29:38,240 Speaker 2: I love Canada. 571 00:29:38,320 --> 00:29:45,200 Speaker 1: Emma Smith, best writer in the business. 572 00:29:45,560 --> 00:29:50,160 Speaker 2: That is correct. Here we go. Brent Broughton of Halifax, Halifax, 573 00:29:50,200 --> 00:29:56,760 Speaker 2: sorry Halifax, is that in possession of a taxidermic three 574 00:29:56,800 --> 00:29:59,880 Speaker 2: headed duckling, and he has no idea why it arrived 575 00:30:00,080 --> 00:30:02,960 Speaker 2: the mail last week in a unassuming cardboard backs that 576 00:30:03,040 --> 00:30:07,000 Speaker 2: sat on his table unopened four hours, because he figured 577 00:30:07,040 --> 00:30:09,480 Speaker 2: it was a pilates ball he'd ordered online. 578 00:30:09,840 --> 00:30:11,400 Speaker 3: Yes, quote. 579 00:30:11,440 --> 00:30:13,840 Speaker 2: I tore away at the package, plastic and packaging, and 580 00:30:13,840 --> 00:30:16,320 Speaker 2: then one of the duckling's faces emerged and I immediately 581 00:30:16,400 --> 00:30:18,440 Speaker 2: sort of jumped back, as you would. 582 00:30:18,800 --> 00:30:19,000 Speaker 1: Yes. 583 00:30:19,240 --> 00:30:19,400 Speaker 8: Uh. 584 00:30:19,960 --> 00:30:21,400 Speaker 2: When I gained the courage to go back to the 585 00:30:21,440 --> 00:30:23,280 Speaker 2: box and dig a little bit further, I noticed it 586 00:30:23,320 --> 00:30:26,920 Speaker 2: wasn't just one head, but there were three ducklings faces 587 00:30:26,960 --> 00:30:30,720 Speaker 2: staring back at me totally. Package is addressed to Broughton 588 00:30:30,880 --> 00:30:33,360 Speaker 2: with a return address in China, so he's certain the 589 00:30:33,400 --> 00:30:36,200 Speaker 2: duck delivery wasn't a mail mix up quote. They were 590 00:30:36,240 --> 00:30:38,720 Speaker 2: definitely intended for me, but I certainly did not order 591 00:30:38,760 --> 00:30:42,040 Speaker 2: these ducklings. To be sure, Broughton didn't accidentally make the 592 00:30:42,160 --> 00:30:44,600 Speaker 2: order on eBay after a night of drinking, something he 593 00:30:44,640 --> 00:30:48,360 Speaker 2: emits has happened on occasion. He checked the back he 594 00:30:48,400 --> 00:30:50,560 Speaker 2: can find no evidence that he sought out the strange 595 00:30:50,640 --> 00:30:55,360 Speaker 2: item himself. So there's the only thing in the package 596 00:30:56,240 --> 00:30:59,760 Speaker 2: is a piece of paper that explains how to care 597 00:30:59,840 --> 00:31:03,480 Speaker 2: for it. So he went online and then followed these instructions. 598 00:31:04,240 --> 00:31:07,680 Speaker 2: Instruction number one, this is how it's written. Let your 599 00:31:07,680 --> 00:31:09,600 Speaker 2: new arrival sit out in the sun or in the 600 00:31:09,600 --> 00:31:12,600 Speaker 2: air for forty eight hours after opening the package. Okay, 601 00:31:13,640 --> 00:31:16,320 Speaker 2: second instruction was too this is something I've found kind 602 00:31:16,320 --> 00:31:18,640 Speaker 2: of strange, and asked me to use a regular hair 603 00:31:18,680 --> 00:31:23,720 Speaker 2: blow dryer to fluffy the ducks feathers. And then he 604 00:31:23,840 --> 00:31:26,920 Speaker 2: posted all of them. And what is the third one? 605 00:31:26,960 --> 00:31:30,720 Speaker 2: It doesn't say, but these people, some somebody at CBC 606 00:31:30,800 --> 00:31:33,080 Speaker 2: did some digging online. And then the email address is 607 00:31:33,080 --> 00:31:35,640 Speaker 2: attached to a Chinese zoologist who appears to be well 608 00:31:35,680 --> 00:31:40,880 Speaker 2: known for his work preserving largers like elephants and giraffes. Yeah, 609 00:31:40,960 --> 00:31:43,160 Speaker 2: and this is the last quote quote. I really hope 610 00:31:43,160 --> 00:31:44,720 Speaker 2: that I do find out who sent it to me. 611 00:31:45,080 --> 00:31:46,760 Speaker 2: I figured it's either a friend who really likes the 612 00:31:46,800 --> 00:31:48,640 Speaker 2: idea of giving me a mystery, or it's an enemy 613 00:31:48,680 --> 00:31:51,360 Speaker 2: who's trying to send a cursed object to me. And 614 00:31:51,640 --> 00:31:55,880 Speaker 2: it is very weird looking. It's it's a naturally born 615 00:31:56,080 --> 00:32:01,800 Speaker 2: three headed do and it's cased in glass. It's very weird. Also, 616 00:32:01,920 --> 00:32:06,400 Speaker 2: stuffing birds, I've found out is illegal in the United States, 617 00:32:06,440 --> 00:32:09,360 Speaker 2: so I were not allowed to do it. I have 618 00:32:09,480 --> 00:32:13,240 Speaker 2: no idea. The only reason I know is because many 619 00:32:13,280 --> 00:32:16,160 Speaker 2: many years ago, Scotty was involved with this. My comedy 620 00:32:16,200 --> 00:32:19,280 Speaker 2: partner and I, Kristin Shawl, made a web series that 621 00:32:19,400 --> 00:32:22,440 Speaker 2: was then turned into a TV pilot called Penelope Princess 622 00:32:22,480 --> 00:32:24,440 Speaker 2: of Pets. Yes it was, And it was all about 623 00:32:24,480 --> 00:32:26,520 Speaker 2: a girl who could talk to animals and had to 624 00:32:26,600 --> 00:32:30,160 Speaker 2: kill a senator in order to save the world. And 625 00:32:30,360 --> 00:32:36,160 Speaker 2: I was her. I was her orphan. I was her 626 00:32:36,280 --> 00:32:39,200 Speaker 2: orphan best friend who wrote around in Heally's and we 627 00:32:39,280 --> 00:32:42,360 Speaker 2: had and she had a bird because she could talk 628 00:32:42,400 --> 00:32:44,880 Speaker 2: to animals, So she had a little red bird who 629 00:32:44,960 --> 00:32:48,440 Speaker 2: was very drunk all the time in her pocket. Ruby 630 00:32:48,680 --> 00:32:51,280 Speaker 2: voiced by Brett Gellman, who is now on Stranger Things 631 00:32:51,400 --> 00:32:54,720 Speaker 2: and many, many, many other things. He was a very 632 00:32:54,760 --> 00:32:57,600 Speaker 2: foul mouth drunk bird. And so we I looked and 633 00:32:57,640 --> 00:33:01,920 Speaker 2: searched and searched and searched, were an actual taxidermy bird 634 00:33:01,920 --> 00:33:05,360 Speaker 2: that we could actually like unhinge the you know, the 635 00:33:05,360 --> 00:33:08,880 Speaker 2: beak right into a puppet, right, and they're you're not 636 00:33:08,920 --> 00:33:11,840 Speaker 2: allowed to taxidermy birds anymore. So the only ones that 637 00:33:11,880 --> 00:33:16,160 Speaker 2: are available are incredibly expensive, uh, because they were taxidermied 638 00:33:16,200 --> 00:33:19,680 Speaker 2: in like the nineteen forties. That was actually the case. 639 00:33:19,720 --> 00:33:21,200 Speaker 5: That fascinating wonder. 640 00:33:21,600 --> 00:33:26,400 Speaker 6: I mean, you can tax dermy like so many things, 641 00:33:26,000 --> 00:33:28,360 Speaker 6: and so why not birds. 642 00:33:28,800 --> 00:33:31,440 Speaker 2: I don't know, And maybe it was a thing. Maybe 643 00:33:31,480 --> 00:33:33,760 Speaker 2: it's over, maybe you can do it now. But in 644 00:33:33,800 --> 00:33:35,760 Speaker 2: two thousand and five, that's what I was told online, 645 00:33:35,920 --> 00:33:38,880 Speaker 2: is that like, that's why these are so expensive, because 646 00:33:38,880 --> 00:33:42,000 Speaker 2: we were like producing everything ourselves. So but we eventually 647 00:33:42,000 --> 00:33:46,720 Speaker 2: had a puppeteer make the bird, and she did an 648 00:33:46,760 --> 00:33:48,800 Speaker 2: absolutely fantastic job. 649 00:33:49,280 --> 00:33:51,360 Speaker 3: Any Fresh, no. 650 00:33:51,280 --> 00:33:57,000 Speaker 2: Not Annie Fresh, our friend Jess locker Oh, who wasn't 651 00:33:57,000 --> 00:33:58,840 Speaker 2: a puppeteer. She was just like, yeah, I can make 652 00:33:59,080 --> 00:34:01,840 Speaker 2: a puppet bird for you. And it's literally the best 653 00:34:01,880 --> 00:34:03,840 Speaker 2: puppet bird I've ever seen in. 654 00:34:03,760 --> 00:34:04,440 Speaker 3: The history of the world. 655 00:34:04,840 --> 00:34:08,520 Speaker 1: Ever ever have Emily You ever ever get a gift 656 00:34:08,600 --> 00:34:10,239 Speaker 1: that you have no idea who it came from. Ever 657 00:34:10,280 --> 00:34:12,640 Speaker 1: get that Amazon order that you just did in order? 658 00:34:13,160 --> 00:34:13,680 Speaker 3: Anybody? 659 00:34:14,480 --> 00:34:18,440 Speaker 6: I mean no, I've had my Amazon packages stolen, so 660 00:34:18,960 --> 00:34:24,719 Speaker 6: like the first of hing, somebody else got it. 661 00:34:25,000 --> 00:34:29,480 Speaker 5: Somebody else got something they didn't expect. So yeah, no, unfortunately. 662 00:34:29,480 --> 00:34:32,919 Speaker 6: But when we did have our package stolen, we set 663 00:34:33,000 --> 00:34:36,880 Speaker 6: up spycam to try to Because we lived in an 664 00:34:36,880 --> 00:34:39,440 Speaker 6: apartment complex, we didn't have any like those fancy like 665 00:34:39,520 --> 00:34:42,800 Speaker 6: ring doorbells or anything. We just had a very cheap spycam. 666 00:34:43,200 --> 00:34:45,879 Speaker 6: And we also had my infant daughter at the time, 667 00:34:45,960 --> 00:34:48,319 Speaker 6: and so what we did was we collected all of 668 00:34:48,320 --> 00:34:52,360 Speaker 6: her dirty diapers and we put them inside of a 669 00:34:52,640 --> 00:34:56,920 Speaker 6: box and wrapped it up, and then I made this 670 00:34:57,000 --> 00:35:01,920 Speaker 6: kind of like exploding mechanism where I took it was 671 00:35:01,920 --> 00:35:03,880 Speaker 6: like a rubber band in the spring, and I just 672 00:35:04,280 --> 00:35:07,440 Speaker 6: poked it up together and then I put what was 673 00:35:07,480 --> 00:35:10,000 Speaker 6: this It was a powdered sugar all in it too, 674 00:35:10,480 --> 00:35:12,840 Speaker 6: and so when they opened it up, it would be 675 00:35:12,960 --> 00:35:16,520 Speaker 6: just this spring loaded mechanism that would explode powdered sugar 676 00:35:16,719 --> 00:35:20,319 Speaker 6: and their face but also a mix of like disgusting 677 00:35:21,120 --> 00:35:25,200 Speaker 6: infent coop. So we left that outside for them, and 678 00:35:25,239 --> 00:35:29,319 Speaker 6: then on the package said something like like we made 679 00:35:29,320 --> 00:35:32,000 Speaker 6: it look like it was from Amazon or something. We 680 00:35:32,080 --> 00:35:34,320 Speaker 6: had that little battery sticker on the side so it 681 00:35:34,360 --> 00:35:37,800 Speaker 6: looked like it was an expensive one, and said something 682 00:35:37,840 --> 00:35:40,680 Speaker 6: on the on the front text in text that looked 683 00:35:40,760 --> 00:35:43,759 Speaker 6: very official but was like you scum, you stole from me. 684 00:35:43,800 --> 00:35:45,360 Speaker 6: You deserve this or something like that. And I was like, 685 00:35:45,400 --> 00:35:48,320 Speaker 6: if you write that second to read this, you wouldn't 686 00:35:48,360 --> 00:35:49,080 Speaker 6: have to deal with this. 687 00:35:49,960 --> 00:35:51,320 Speaker 5: And so that package got stolen. 688 00:35:51,800 --> 00:35:56,440 Speaker 1: Really no, Yeah, science applied to the real world. 689 00:35:56,600 --> 00:35:59,000 Speaker 3: I love this. That's exactly what we hope. 690 00:35:59,200 --> 00:36:01,760 Speaker 2: Oh god, was such a great stolen? 691 00:36:01,880 --> 00:36:02,880 Speaker 3: Did anybody jacket? 692 00:36:03,040 --> 00:36:04,040 Speaker 5: Yeah? Oh yeah it was. 693 00:36:04,120 --> 00:36:06,759 Speaker 6: It was stolen in like literally what we call on 694 00:36:06,840 --> 00:36:10,239 Speaker 6: camera was two guys walking through the hallways of our 695 00:36:10,360 --> 00:36:15,040 Speaker 6: apartment complex with a trash bag and they were collecting 696 00:36:15,080 --> 00:36:15,759 Speaker 6: the packages. 697 00:36:15,800 --> 00:36:16,439 Speaker 5: They weren't even. 698 00:36:16,400 --> 00:36:18,560 Speaker 2: Looking at just reverse Santa. 699 00:36:18,680 --> 00:36:21,239 Speaker 6: It was reverse santaing and it was it was like 700 00:36:21,640 --> 00:36:26,160 Speaker 6: so dis I was distraught to see a heeling like that. 701 00:36:26,200 --> 00:36:28,600 Speaker 6: I was like, you guys, this is like, not a 702 00:36:28,680 --> 00:36:32,400 Speaker 6: wealthy gated community. You were in an apartment complex, Like, 703 00:36:32,440 --> 00:36:33,520 Speaker 6: why are you stealing from us? 704 00:36:33,600 --> 00:36:34,239 Speaker 5: Get out of here? 705 00:36:34,760 --> 00:36:35,560 Speaker 3: Yeah? 706 00:36:35,600 --> 00:36:38,759 Speaker 1: Good, well, I'm glad you served a little justice. That's 707 00:36:38,800 --> 00:36:40,320 Speaker 1: what's I hate that. 708 00:36:40,480 --> 00:36:41,960 Speaker 5: That's the little justice. 709 00:36:42,760 --> 00:36:43,080 Speaker 3: I know. 710 00:36:43,200 --> 00:36:45,520 Speaker 1: Every once in a while, when I'm very, very bored 711 00:36:45,560 --> 00:36:47,959 Speaker 1: and I think Kurt knows this, I'll just google two 712 00:36:48,080 --> 00:36:51,360 Speaker 1: names and wedding registry, not last names, just first names, 713 00:36:51,360 --> 00:36:55,360 Speaker 1: you know, Troy and Dave or Michelle and Steve, and 714 00:36:55,400 --> 00:36:57,239 Speaker 1: then whatever one comes up, I just send them the 715 00:36:57,280 --> 00:36:59,319 Speaker 1: cheapest gift and leave the gift note. So I have 716 00:36:59,320 --> 00:37:00,799 Speaker 1: no idea who these p and I'll just be like, 717 00:37:00,840 --> 00:37:02,560 Speaker 1: if you guys don't make it, none of us will. 718 00:37:02,640 --> 00:37:05,160 Speaker 1: And I always do it. I've done it thirty times 719 00:37:05,200 --> 00:37:07,840 Speaker 1: in the past five years. It's the funniest thing to 720 00:37:07,880 --> 00:37:09,960 Speaker 1: me that somebody just gets like an ice cream Scooper, 721 00:37:11,800 --> 00:37:13,960 Speaker 1: and I don't sign it from Scottie or sky Landers. 722 00:37:14,000 --> 00:37:16,560 Speaker 1: I just write a gift note and put like dash s. 723 00:37:16,840 --> 00:37:19,359 Speaker 1: But it's always just like you're the ones guys, all 724 00:37:19,400 --> 00:37:20,520 Speaker 1: of us are rooting for you. 725 00:37:21,040 --> 00:37:23,680 Speaker 6: Oh. I love to imagine those couples being like I've 726 00:37:23,680 --> 00:37:25,480 Speaker 6: gone through my list you've gone through your list. 727 00:37:25,520 --> 00:37:27,040 Speaker 5: We don't know who to write the thank you. 728 00:37:27,040 --> 00:37:30,680 Speaker 2: Note to exactly. It's just damn ice cream Scooper. 729 00:37:31,440 --> 00:37:33,840 Speaker 1: I just did it recently for a baby shower for 730 00:37:33,920 --> 00:37:36,480 Speaker 1: somebody I do know, but I was not sent the 731 00:37:36,520 --> 00:37:41,520 Speaker 1: registry and she was like, what the fuck, dude, And 732 00:37:41,560 --> 00:37:43,440 Speaker 1: I was like, I know your names, I know your 733 00:37:43,480 --> 00:37:46,439 Speaker 1: husband's name. It's fun thing to do if you're really 734 00:37:46,440 --> 00:37:48,520 Speaker 1: bored and you, you know, if you don't know what 735 00:37:48,560 --> 00:37:51,400 Speaker 1: to do that stimulus check, give it to charity and 736 00:37:51,440 --> 00:37:53,160 Speaker 1: then if you have ten dollars left, buy an ice 737 00:37:53,200 --> 00:37:55,319 Speaker 1: cream Scooper for a weirdo in a town that you've 738 00:37:55,360 --> 00:38:00,239 Speaker 1: never been to. Speaking of, which, Okay, this one's kind 739 00:38:00,239 --> 00:38:02,920 Speaker 1: of long, so let's talk our way through it because 740 00:38:02,920 --> 00:38:05,600 Speaker 1: it was sent in by so so many people, and 741 00:38:05,640 --> 00:38:10,560 Speaker 1: it really should be a movie, The Bizarre Tale of 742 00:38:10,640 --> 00:38:15,880 Speaker 1: the World's last Lost tourist who thought Maine was San Francisco. 743 00:38:16,719 --> 00:38:20,360 Speaker 1: So this one's going wild today. This episode will probably 744 00:38:20,360 --> 00:38:22,600 Speaker 1: be out two weeks later and y'all will have known it. 745 00:38:22,640 --> 00:38:26,279 Speaker 1: But basically, this was sent in by Juliet Tibbs or 746 00:38:26,440 --> 00:38:31,680 Speaker 1: Juliet Ibbs and Wooden Tapes and fifty other Bin Animals 747 00:38:32,520 --> 00:38:37,120 Speaker 1: written by Andrew Chamings. Thank you, Andrew, Your words complete me. 748 00:38:38,000 --> 00:38:42,560 Speaker 1: In nineteen seventy seven, a forty nine year old German 749 00:38:42,719 --> 00:38:47,960 Speaker 1: beer brewer named Irwin Kreutz blew his life savings on 750 00:38:48,040 --> 00:38:51,239 Speaker 1: his first time on an airplane, a once in a 751 00:38:51,280 --> 00:38:55,759 Speaker 1: lifetime birthday trip for himself to San Francisco. He'd seen 752 00:38:55,800 --> 00:38:58,680 Speaker 1: it on TV, He'd seen it on magazines. He wanted 753 00:38:58,680 --> 00:39:03,120 Speaker 1: to visit the Wild West. As the World Airways flight 754 00:39:03,200 --> 00:39:07,200 Speaker 1: from Frankfurt stopped to refuel in Bangor, Maine. At a 755 00:39:07,239 --> 00:39:12,680 Speaker 1: small airport, a stewardess now called flight attendant who finished 756 00:39:12,719 --> 00:39:16,120 Speaker 1: her shift, told Kreutz to quote, have a nice time 757 00:39:16,160 --> 00:39:20,600 Speaker 1: in San Francisco. Her choice of words would change Kreutz's life. 758 00:39:21,120 --> 00:39:25,320 Speaker 1: Kreut's look, here's a little bit about Kreutz show. Kreutz 759 00:39:25,480 --> 00:39:28,960 Speaker 1: typically enjoyed drinking seventeen beers a day, and he was 760 00:39:28,960 --> 00:39:31,960 Speaker 1: a little groggy. On hearing this, he grabbed his suitcase, 761 00:39:32,080 --> 00:39:34,759 Speaker 1: rushed off the plane, went through customs, jumped in a cab, 762 00:39:34,840 --> 00:39:36,680 Speaker 1: and told the driver to take him to the city. 763 00:39:37,120 --> 00:39:40,760 Speaker 1: He wandered around Bangor for three days, enjoying the sights 764 00:39:40,800 --> 00:39:45,120 Speaker 1: and sounds of Maine. Unfortunately, Kreutz thought he was in 765 00:39:45,239 --> 00:39:52,480 Speaker 1: San Francisco. This is incredible, this is so sweet. Within 766 00:39:52,520 --> 00:39:55,839 Speaker 1: a week, Kreutz became an international celebrity and even made 767 00:39:55,920 --> 00:39:59,879 Speaker 1: the Today Show, Antime magazine and was handed the key 768 00:40:00,160 --> 00:40:03,799 Speaker 1: to San Francisco. He became a full court hero as 769 00:40:03,880 --> 00:40:08,959 Speaker 1: the world's last lost tourist. So outside of one day 770 00:40:08,960 --> 00:40:12,360 Speaker 1: trip over the border into Switzerland, Kreuts had never stepped 771 00:40:12,360 --> 00:40:16,200 Speaker 1: foot out of Germany ever, let alone boarded an airplane. 772 00:40:16,280 --> 00:40:19,720 Speaker 1: He spoke only German, no English whatsoever, And that plays 773 00:40:19,719 --> 00:40:22,279 Speaker 1: into this a little bit. It was from a small 774 00:40:22,320 --> 00:40:24,960 Speaker 1: Bavarian village at bruce Beer and he worked a local brewery. 775 00:40:25,120 --> 00:40:25,759 Speaker 2: What year is this? 776 00:40:25,840 --> 00:40:29,960 Speaker 3: What year this seventy seven? Nineteen seventy seven, So. 777 00:40:30,080 --> 00:40:32,120 Speaker 5: He was why are we talking about it now? Why 778 00:40:32,280 --> 00:40:33,000 Speaker 5: what came out? 779 00:40:33,560 --> 00:40:33,680 Speaker 6: Much? 780 00:40:33,719 --> 00:40:35,040 Speaker 2: I think an article just came out. 781 00:40:35,320 --> 00:40:38,439 Speaker 1: The article just came out this week about like can 782 00:40:38,480 --> 00:40:42,120 Speaker 1: you imagine this story with the internet and smartphones? Like 783 00:40:42,160 --> 00:40:45,000 Speaker 1: this type of thing almost feels impossible. So I think 784 00:40:45,080 --> 00:40:47,439 Speaker 1: everybody's feeling a little nostalgic, and also I think people 785 00:40:47,480 --> 00:40:51,080 Speaker 1: are looking forward to traveling in a very big way hard. 786 00:40:52,280 --> 00:40:55,080 Speaker 1: So the cab driver, once he got off the plane. 787 00:40:56,120 --> 00:40:58,600 Speaker 1: The Creits took him to downtown Bangor, which is not 788 00:40:58,640 --> 00:41:01,920 Speaker 1: a very big city. He checked into the Bangor House hotel, 789 00:41:02,200 --> 00:41:04,680 Speaker 1: walked the streets a little, found a tavern to quench 790 00:41:04,719 --> 00:41:07,399 Speaker 1: his almighty thirst. At one point, Kreutz was reassured by 791 00:41:07,400 --> 00:41:10,080 Speaker 1: the sight of two Chinese restaurants in town, something he 792 00:41:10,160 --> 00:41:12,200 Speaker 1: knew was in San Francisco from movies. 793 00:41:12,840 --> 00:41:14,560 Speaker 3: Interesting and then. 794 00:41:14,520 --> 00:41:18,560 Speaker 1: The rusted green bridge that links Bangor to neighboring Brewer 795 00:41:19,280 --> 00:41:22,439 Speaker 1: was clearly not the Golden gate Bridge, but Kreutz thought 796 00:41:22,480 --> 00:41:26,480 Speaker 1: it was and carried on regardless. So I'll kind of 797 00:41:26,560 --> 00:41:31,400 Speaker 1: jump ahead a little bit. So, I mean, this is 798 00:41:31,440 --> 00:41:34,080 Speaker 1: pretty good. So Kroutz decided he must be in a 799 00:41:34,120 --> 00:41:36,279 Speaker 1: Bay Area suburb. He hailed a taxi and asked the 800 00:41:36,360 --> 00:41:40,400 Speaker 1: driver in broken English to take him to downtown San Francisco. 801 00:41:40,480 --> 00:41:43,760 Speaker 1: The driver sped away and thought Kreutz was crazy. Kreutz 802 00:41:43,760 --> 00:41:47,400 Speaker 1: returned back to a bar. Unsure of himself, he suddenly 803 00:41:47,440 --> 00:41:49,840 Speaker 1: knew something well. He tried to get help from a waitress. 804 00:41:50,000 --> 00:41:52,719 Speaker 1: The language barrier was too wide, so she put him 805 00:41:52,760 --> 00:41:56,480 Speaker 1: in touch with a gentleman named Oh No, I'm maybe 806 00:41:56,840 --> 00:42:00,239 Speaker 1: a woman sorry, named Gertrude Romine, who he was a 807 00:42:00,239 --> 00:42:05,120 Speaker 1: Czechoslovakian immigrant who spoke German. Romene says, it was so funny. 808 00:42:05,400 --> 00:42:07,080 Speaker 1: I was the first person to tell him about his 809 00:42:07,160 --> 00:42:09,880 Speaker 1: monumental error. He couldn't speak a lick of English and 810 00:42:09,960 --> 00:42:12,920 Speaker 1: didn't know he was there were hills around San Francisco. 811 00:42:13,280 --> 00:42:16,520 Speaker 1: When he saw hills around Bangor, he just figured he 812 00:42:16,640 --> 00:42:21,239 Speaker 1: was in the right place. So basically it spreads like wildfire. 813 00:42:22,000 --> 00:42:25,439 Speaker 1: The news picks it up. San Francisco examiner goes, let's 814 00:42:25,480 --> 00:42:27,640 Speaker 1: fly him out here and teach him that San Francisco 815 00:42:27,800 --> 00:42:31,200 Speaker 1: is a real place. Kreutz became an honorary member of 816 00:42:31,280 --> 00:42:35,160 Speaker 1: the Penobscot, the penub Scot Indian nation. There's a folk 817 00:42:35,239 --> 00:42:38,080 Speaker 1: song written about him. He was thrown a fiftieth birthday 818 00:42:38,080 --> 00:42:41,480 Speaker 1: party and visited by the Governor of Maine. He was 819 00:42:41,600 --> 00:42:44,600 Speaker 1: even gifted an acre of scrubland and northern Maine as 820 00:42:44,600 --> 00:42:47,120 Speaker 1: an act of goodwill that he paid taxes on his 821 00:42:47,320 --> 00:42:49,279 Speaker 1: entire life. Even he would send a check whenever the 822 00:42:49,320 --> 00:42:52,359 Speaker 1: taxes would come in. This guy is such a sweetie. 823 00:42:53,280 --> 00:42:59,400 Speaker 1: While still in Bagwor, the wayward German who was now beloved, 824 00:43:00,200 --> 00:43:01,440 Speaker 1: met the town seal. 825 00:43:02,360 --> 00:43:04,520 Speaker 3: He met the town seal guys who helped his. 826 00:43:04,600 --> 00:43:07,040 Speaker 2: There's still a town seal in Bangor Man. 827 00:43:07,120 --> 00:43:09,800 Speaker 1: Oh yeah, and he got a Kreutz got a kiss 828 00:43:10,000 --> 00:43:12,640 Speaker 1: during a photo op from the seal Erwin Kreutz met 829 00:43:12,680 --> 00:43:16,560 Speaker 1: Andre the seal. The comment said on Thursday morning, they 830 00:43:16,640 --> 00:43:18,560 Speaker 1: must have a lot to talk about because they have 831 00:43:18,600 --> 00:43:19,600 Speaker 1: a great deal in common. 832 00:43:20,120 --> 00:43:21,440 Speaker 3: Neither one speaks a. 833 00:43:21,400 --> 00:43:24,719 Speaker 2: Word of English. I mean, don't dunk on this guy. 834 00:43:24,760 --> 00:43:25,879 Speaker 2: He's a sweetest man. 835 00:43:26,600 --> 00:43:28,439 Speaker 3: So I'll jump to the end here. 836 00:43:29,000 --> 00:43:33,520 Speaker 1: San Francisco Examiner did indeed fly Kreutz out to vacation 837 00:43:33,800 --> 00:43:36,400 Speaker 1: in San Francisco. When he was there, he was treated 838 00:43:36,400 --> 00:43:39,480 Speaker 1: like a visiting dignitary. He met the mayor, George Muscone. 839 00:43:39,719 --> 00:43:45,040 Speaker 1: Kreutz told him about his seventeen day beers a day diet, 840 00:43:45,400 --> 00:43:47,520 Speaker 1: to which the mayor said, well, that beats the heck 841 00:43:47,600 --> 00:43:50,760 Speaker 1: out of me. On a whirling tour of cable cars, 842 00:43:50,800 --> 00:43:53,400 Speaker 1: he rode the cable cars. Who wouldn't. He was plied 843 00:43:53,440 --> 00:43:57,280 Speaker 1: with gifts, three marriage proposals. He was named an honorary 844 00:43:57,360 --> 00:44:01,000 Speaker 1: member of the Wong Family Association at the Empress of 845 00:44:01,080 --> 00:44:04,719 Speaker 1: China restaurant. It's the greatest story. It needs to be 846 00:44:04,800 --> 00:44:07,279 Speaker 1: a movie. And Mark Ruffalo needs to be this guy. 847 00:44:09,360 --> 00:44:11,960 Speaker 1: So Time magazine ran a story. Everybody just thought it 848 00:44:12,000 --> 00:44:18,400 Speaker 1: was this exceptional thing. Tom Brocall talked about him, and 849 00:44:18,760 --> 00:44:22,640 Speaker 1: so yeah, the mayor of San Francisco presented him with 850 00:44:22,680 --> 00:44:26,120 Speaker 1: a proclamation declaiming that San Francisco does in fact exist, 851 00:44:26,640 --> 00:44:28,680 Speaker 1: And then he had to fly back because he had 852 00:44:28,719 --> 00:44:31,160 Speaker 1: to work at the brewery, So he only spent four 853 00:44:31,239 --> 00:44:33,799 Speaker 1: days in San Francisco. After all of this, it was 854 00:44:33,840 --> 00:44:42,120 Speaker 1: just a whirlwind. He ki, it's again, wonderful segue, Thank you, Emily. 855 00:44:43,440 --> 00:44:44,719 Speaker 3: No, it's exactly. 856 00:44:45,200 --> 00:44:48,560 Speaker 1: So they gave him a giant tag, like a luggage tag, 857 00:44:48,640 --> 00:44:49,759 Speaker 1: and there's a photo of it. 858 00:44:49,800 --> 00:44:51,600 Speaker 3: We'll post all this on our instagram, y'all. 859 00:44:52,160 --> 00:44:55,319 Speaker 1: Uh it's as big as it's six foot tag that 860 00:44:55,360 --> 00:44:59,080 Speaker 1: says please let me off in Frankfurt, which is so good. 861 00:45:00,000 --> 00:45:04,239 Speaker 2: So funny, Like manufactured that so quickly for this bit, 862 00:45:04,600 --> 00:45:05,839 Speaker 2: do you know what I mean? Like he was there 863 00:45:05,840 --> 00:45:07,520 Speaker 2: for four days of like gotta get him a six 864 00:45:07,520 --> 00:45:08,960 Speaker 2: foot bit in the luggage tag. 865 00:45:10,000 --> 00:45:11,320 Speaker 3: Yes he didn't. 866 00:45:11,719 --> 00:45:14,600 Speaker 1: So he gets back and he said at the Frankfurt 867 00:45:14,880 --> 00:45:18,440 Speaker 1: airport in Germany, if Kennedy can say ikbine Berliner, then 868 00:45:18,480 --> 00:45:21,120 Speaker 1: I can say I am a Bangor, which is great. 869 00:45:21,280 --> 00:45:24,480 Speaker 1: This guy totally gets it. So he returned a couple 870 00:45:24,520 --> 00:45:28,520 Speaker 1: of times he liked. He preferred Bangor to San Francisco, 871 00:45:28,600 --> 00:45:31,319 Speaker 1: which is one of the great details. In the end, 872 00:45:31,480 --> 00:45:34,719 Speaker 1: he would rather spend time in Bangor. He lost his 873 00:45:34,800 --> 00:45:36,840 Speaker 1: job at the brewery because when he traveled it was 874 00:45:36,920 --> 00:45:40,680 Speaker 1: during Octoberfest, which was the brewery's biggest time of brewing beer. 875 00:45:41,360 --> 00:45:44,840 Speaker 1: And he after one more visit in nineteen seventy nine, 876 00:45:45,360 --> 00:45:47,400 Speaker 1: where he tried to live out his life in Bangor. 877 00:45:47,600 --> 00:45:51,839 Speaker 1: There was no headdresses from local indigenous people, there were 878 00:45:51,840 --> 00:45:54,319 Speaker 1: no parties or seals to kiss. He was met with 879 00:45:54,520 --> 00:45:58,280 Speaker 1: very little fanfare, but he was offered a minimum wage 880 00:45:58,360 --> 00:46:02,160 Speaker 1: janitorial job at all that had just opened. He graciously 881 00:46:02,160 --> 00:46:04,640 Speaker 1: turned it down and returned to Germany. He's never been 882 00:46:04,680 --> 00:46:07,040 Speaker 1: back to the state since nineteen seventy nine, and even 883 00:46:07,080 --> 00:46:10,000 Speaker 1: though he had been dump from the limelight and did 884 00:46:10,040 --> 00:46:12,240 Speaker 1: not feel like he wanted to be in Bangal anymore, 885 00:46:12,320 --> 00:46:16,399 Speaker 1: Kreutz was gracious until the end where he said, thank 886 00:46:16,440 --> 00:46:18,640 Speaker 1: you people of Bangor for your hospitality. 887 00:46:18,680 --> 00:46:20,640 Speaker 3: It has been a wild ride. 888 00:46:21,080 --> 00:46:23,120 Speaker 2: So that is the amazing story. 889 00:46:23,360 --> 00:46:27,319 Speaker 6: Is this like Bangor's tourism company trying to. 890 00:46:30,440 --> 00:46:31,560 Speaker 2: In San Francisco. 891 00:46:31,880 --> 00:46:34,279 Speaker 6: So confused as to why the story is coming out 892 00:46:34,320 --> 00:46:35,920 Speaker 6: right now, beca It's all all over Twitter, and I 893 00:46:35,960 --> 00:46:38,080 Speaker 6: was like, wow, how did he? First of all, you 894 00:46:38,080 --> 00:46:40,600 Speaker 6: probably shouldn't be traveling right now, sir, there's a pandemic 895 00:46:40,640 --> 00:46:43,000 Speaker 6: going on. Yeah, he did not realize this was from 896 00:46:43,000 --> 00:46:43,879 Speaker 6: a thousand years ago. 897 00:46:44,400 --> 00:46:50,080 Speaker 2: Yeah. Have you ever had any travel mishaps or miscommunications? Emilie, 898 00:46:50,200 --> 00:46:51,279 Speaker 2: Oh yeah. 899 00:46:51,080 --> 00:46:53,960 Speaker 6: I mean I've traveled quite a bit, and I've traveled 900 00:46:54,040 --> 00:46:56,560 Speaker 6: quite a bit by myself, like on your own. And 901 00:46:56,600 --> 00:46:58,399 Speaker 6: when you do it on your own, I think that's 902 00:46:58,480 --> 00:47:00,959 Speaker 6: like where things are like way to go wrong because 903 00:47:00,960 --> 00:47:04,120 Speaker 6: you don't have anyone to check you and check that 904 00:47:04,160 --> 00:47:07,800 Speaker 6: you have like the train schedules right or something. So 905 00:47:07,800 --> 00:47:09,520 Speaker 6: so I lived in China for a little while, and 906 00:47:09,560 --> 00:47:12,040 Speaker 6: I there was one weekend where a friend and I 907 00:47:12,080 --> 00:47:15,759 Speaker 6: were going to go to Beijing to see there was 908 00:47:15,800 --> 00:47:17,960 Speaker 6: like the World Fair going on it or something. 909 00:47:18,360 --> 00:47:21,480 Speaker 1: There's one weekend so fun, that sounds so good. 910 00:47:22,239 --> 00:47:25,560 Speaker 6: And we were very poor at the time, we were 911 00:47:25,960 --> 00:47:29,440 Speaker 6: grab students, and so we bought the cheapest train ticket available, 912 00:47:29,480 --> 00:47:33,880 Speaker 6: which was a standing room only ticket. On a fourteen 913 00:47:33,960 --> 00:47:41,720 Speaker 6: hour train. Oh no, And in Sheanne, where I was living, 914 00:47:41,960 --> 00:47:44,840 Speaker 6: and in various parts of China, I think you'll find 915 00:47:44,960 --> 00:47:50,040 Speaker 6: that like kids, little really little ones, they often don't 916 00:47:50,080 --> 00:47:54,040 Speaker 6: have diapers, and so they will usually have the children 917 00:47:54,320 --> 00:47:59,279 Speaker 6: go to the bathroom on the floor, and meaning the 918 00:47:59,400 --> 00:48:05,919 Speaker 6: floors of trains especially are very stinky, and people smoke indoors, 919 00:48:06,200 --> 00:48:07,839 Speaker 6: or at least they did when I was there, and 920 00:48:07,920 --> 00:48:14,200 Speaker 6: so the whole situation felt like very unsanitary. And my 921 00:48:14,280 --> 00:48:17,520 Speaker 6: friends ended up not coming and so I have experience 922 00:48:17,520 --> 00:48:21,480 Speaker 6: of like seeing on that and it ended up the 923 00:48:21,560 --> 00:48:23,920 Speaker 6: train got delayed because of flooding somewhere, and so it 924 00:48:23,960 --> 00:48:26,319 Speaker 6: was ended up being a twenty one hour train, and 925 00:48:26,400 --> 00:48:28,840 Speaker 6: it was a standing room only. So I had a 926 00:48:28,880 --> 00:48:31,080 Speaker 6: blanket with me, and I like laid on the floor 927 00:48:31,400 --> 00:48:33,239 Speaker 6: and then like got up and took the blanket and 928 00:48:33,280 --> 00:48:34,760 Speaker 6: put it directly in the trash. 929 00:48:34,880 --> 00:48:37,600 Speaker 5: And I was like, I. 930 00:48:36,680 --> 00:48:39,040 Speaker 6: Don't know if I ever want to do something like 931 00:48:39,080 --> 00:48:42,439 Speaker 6: that again. So that was one I did also get. 932 00:48:42,520 --> 00:48:45,840 Speaker 6: When I was traveling alone in Italy, I had mixed 933 00:48:45,880 --> 00:48:48,640 Speaker 6: up my bus schedules and I was trying to get 934 00:48:48,680 --> 00:48:52,880 Speaker 6: back to my hostel and I missed the last bus, 935 00:48:53,280 --> 00:48:55,759 Speaker 6: and I was near a park, and so I'm doing 936 00:48:55,760 --> 00:48:57,480 Speaker 6: all this calculation in my head. I'm like, okay, well 937 00:48:57,520 --> 00:49:01,520 Speaker 6: the next it's like eight pm. Now the next bus 938 00:49:01,640 --> 00:49:04,000 Speaker 6: is at seven am. So if I can just like 939 00:49:04,120 --> 00:49:08,000 Speaker 6: survive the night, I'll just go into the park sleep alone, 940 00:49:08,280 --> 00:49:10,440 Speaker 6: young single woman, no problem there. 941 00:49:10,640 --> 00:49:13,000 Speaker 2: Smart, great, great. 942 00:49:12,840 --> 00:49:13,560 Speaker 5: Smart decision. 943 00:49:13,719 --> 00:49:16,280 Speaker 6: And so I start realizing how smart of a decision 944 00:49:16,280 --> 00:49:17,640 Speaker 6: that is, and I just start crying. 945 00:49:18,040 --> 00:49:20,120 Speaker 5: And so I'm like walking. 946 00:49:20,000 --> 00:49:23,719 Speaker 6: The streets like with my little backpack, crying, and then 947 00:49:23,719 --> 00:49:28,520 Speaker 6: these two elderly Italian women past me and they start 948 00:49:28,560 --> 00:49:31,920 Speaker 6: speaking to me in Italian, who obviously very worried as 949 00:49:31,960 --> 00:49:35,640 Speaker 6: to why this distraught woman is crying by herself in 950 00:49:35,680 --> 00:49:39,240 Speaker 6: the dark. And I was trying to explain the situation 951 00:49:39,320 --> 00:49:41,960 Speaker 6: in English, and they were like one second, and they 952 00:49:42,000 --> 00:49:44,640 Speaker 6: got their son on the phone, who spoke English. I 953 00:49:44,719 --> 00:49:47,920 Speaker 6: talked to their son and I explained my dire situation, 954 00:49:48,360 --> 00:49:51,400 Speaker 6: and he came with his friends and a car, and 955 00:49:51,440 --> 00:49:54,520 Speaker 6: so we all like him and his friend, and then 956 00:49:54,520 --> 00:49:57,160 Speaker 6: the two elderly women all got in the car with 957 00:49:57,200 --> 00:49:59,240 Speaker 6: me in the middle in the back, and they drove 958 00:49:59,320 --> 00:50:00,480 Speaker 6: me back to my hostel. 959 00:50:00,600 --> 00:50:02,719 Speaker 5: And I was like I that is. I'm not a 960 00:50:02,760 --> 00:50:03,839 Speaker 5: religious person. 961 00:50:03,560 --> 00:50:05,600 Speaker 6: But I feel like that was a sign from the 962 00:50:05,680 --> 00:50:07,279 Speaker 6: universe that was like, we got you. 963 00:50:07,960 --> 00:50:14,000 Speaker 2: Oh that's amazing. Yeah, that story always Italian Grandmother's coming through. 964 00:50:14,080 --> 00:50:14,640 Speaker 5: Coming through. 965 00:50:16,680 --> 00:50:19,200 Speaker 2: Oh God it, Scotty, let's get one more and send 966 00:50:19,280 --> 00:50:19,600 Speaker 2: us home. 967 00:50:19,920 --> 00:50:21,600 Speaker 3: Wrap it up? You want me to do it? Sure? 968 00:50:21,719 --> 00:50:23,359 Speaker 3: I just did one. You want I have a swing? 969 00:50:23,480 --> 00:50:24,160 Speaker 2: One? I got one? 970 00:50:24,320 --> 00:50:25,120 Speaker 3: Okay, wrap it up? 971 00:50:25,160 --> 00:50:28,600 Speaker 2: Sight And it also also kind of works perfectly with 972 00:50:29,200 --> 00:50:30,280 Speaker 2: what's it what's his name? 973 00:50:30,520 --> 00:50:30,680 Speaker 1: From? 974 00:50:30,760 --> 00:50:34,080 Speaker 2: Bangor Kreus? 975 00:50:34,440 --> 00:50:37,560 Speaker 3: Yeah, our German friend was Irvin Kreut. 976 00:50:38,160 --> 00:50:41,280 Speaker 2: Irvin Kreutz would have loved this guy. This was sentenced 977 00:50:41,280 --> 00:50:45,080 Speaker 2: by Ashley U. Bank. This is from UPI Another favorite 978 00:50:45,080 --> 00:50:50,840 Speaker 2: here at Bananas Somehow by Ben Hooper, who is a 979 00:50:51,480 --> 00:50:56,600 Speaker 2: maestro of the key Strokes. Absolutebruary nineteenth and Ohio Man 980 00:50:56,680 --> 00:50:57,720 Speaker 2: is Oh, here's the title. 981 00:50:58,000 --> 00:50:58,320 Speaker 3: Please. 982 00:50:58,400 --> 00:51:03,640 Speaker 2: Ohio Man foregoes food for forty six day Lent beer diet, 983 00:51:04,080 --> 00:51:07,719 Speaker 2: right and Ohioman is marking the Christian tradition of Lent 984 00:51:07,840 --> 00:51:13,680 Speaker 2: by giving up solid foods and getting the majority of 985 00:51:13,680 --> 00:51:17,799 Speaker 2: his sustenance from beer. Dell Hall of Cincinnati said his 986 00:51:17,920 --> 00:51:22,200 Speaker 2: Lent diet includes only beer, water, black coffee and herbal tea, 987 00:51:22,520 --> 00:51:25,800 Speaker 2: and as of his Friday morning way in day three 988 00:51:25,960 --> 00:51:29,160 Speaker 2: of his diet, he was down five point eight pounds. 989 00:51:29,520 --> 00:51:29,759 Speaker 3: Oh. 990 00:51:29,880 --> 00:51:32,399 Speaker 2: I also thought about three to five beers a day. 991 00:51:32,560 --> 00:51:34,240 Speaker 2: Hall told, after. 992 00:51:34,080 --> 00:51:36,600 Speaker 1: Three days, it's oh three days. Sorry, I thought it 993 00:51:36,640 --> 00:51:38,799 Speaker 1: was at the end of Lent. I was like, hey, no, no, 994 00:51:39,080 --> 00:51:40,600 Speaker 1: your diet sucks. 995 00:51:41,680 --> 00:51:44,400 Speaker 2: I'm not like, it's not like I'm constantly drinking. If 996 00:51:44,440 --> 00:51:46,400 Speaker 2: you eat your standard diet, it gets boring. You know, 997 00:51:46,440 --> 00:51:48,880 Speaker 2: it's the same thing every day. So I'm definitely not 998 00:51:48,920 --> 00:51:50,640 Speaker 2: going to drink the same thing every day. 999 00:51:50,760 --> 00:51:50,960 Speaker 3: No. 1000 00:51:51,040 --> 00:51:54,800 Speaker 2: Hall said he successfully completed Lent beer diets in twenty 1001 00:51:54,880 --> 00:51:59,200 Speaker 2: nineteen and twenty twenty, each time noticing health benefits of 1002 00:51:59,239 --> 00:52:03,320 Speaker 2: the experience. He said he lost forty to fifty pounds 1003 00:52:03,440 --> 00:52:08,560 Speaker 2: of years and noticed his blood pressure and cholesterol improved. 1004 00:52:08,840 --> 00:52:11,880 Speaker 2: The human body is an amazing thing, All said, especially 1005 00:52:11,880 --> 00:52:17,320 Speaker 2: when you're fucking wasted. For me, we're used to going 1006 00:52:17,360 --> 00:52:21,480 Speaker 2: through as hunter gatherers feasting Famin promise we don't go 1007 00:52:21,600 --> 00:52:24,480 Speaker 2: through the famine anymore. Haul is raising money through a 1008 00:52:24,480 --> 00:52:28,719 Speaker 2: crowdfunding initiative called Sergeant Dell's Virtual Tip Jar. He said 1009 00:52:28,719 --> 00:52:31,120 Speaker 2: the money will go towards local bars and restaurants that 1010 00:52:31,160 --> 00:52:31,560 Speaker 2: have suffered. 1011 00:52:32,239 --> 00:52:32,640 Speaker 3: That's nice. 1012 00:52:32,760 --> 00:52:36,000 Speaker 2: Nineteen pandemic like that, that is it? I mean like, 1013 00:52:36,400 --> 00:52:39,839 Speaker 2: if you drink five beers on an empty stomach, you're 1014 00:52:40,040 --> 00:52:42,480 Speaker 2: very drunk. Like I don't understand how he operates the 1015 00:52:42,520 --> 00:52:45,359 Speaker 2: next day, Like that's not got a feel. It can't 1016 00:52:45,400 --> 00:52:48,239 Speaker 2: feel good an empty stomach. Five beers and then you 1017 00:52:48,360 --> 00:52:49,960 Speaker 2: just have forty days again. 1018 00:52:51,280 --> 00:52:54,399 Speaker 6: How do you not die from not eating food for 1019 00:52:54,400 --> 00:52:55,240 Speaker 6: forty days? 1020 00:52:55,400 --> 00:52:57,680 Speaker 5: I don't think I realized that one could survive. 1021 00:52:58,200 --> 00:53:01,239 Speaker 2: Oh yeah, that one, Oh yeah, I remember, Oh my god, 1022 00:53:01,360 --> 00:53:05,000 Speaker 2: this is I loved that I dated this one. Or 1023 00:53:05,040 --> 00:53:09,800 Speaker 2: I wanted to date this woman. I guess. 1024 00:53:10,480 --> 00:53:14,320 Speaker 1: Emily and I almost made eye contact on zoom. 1025 00:53:14,640 --> 00:53:18,120 Speaker 3: Wait, he knows that that's not the same thing, right. 1026 00:53:18,000 --> 00:53:21,160 Speaker 2: Well, I mean like we would shift, but I don't 1027 00:53:21,160 --> 00:53:22,879 Speaker 2: know if we would be called date. Like she went 1028 00:53:22,880 --> 00:53:25,000 Speaker 2: to my prom with me. This is in high school, 1029 00:53:25,360 --> 00:53:26,960 Speaker 2: So she went to my prom with me. Like, that's 1030 00:53:27,000 --> 00:53:29,799 Speaker 2: a date, right, that's the data dates, right, that's a 1031 00:53:29,920 --> 00:53:30,600 Speaker 2: nice date. 1032 00:53:31,200 --> 00:53:31,600 Speaker 3: Friendly. 1033 00:53:32,239 --> 00:53:35,800 Speaker 2: She was a super super hippie and she lived in 1034 00:53:35,840 --> 00:53:38,839 Speaker 2: a house that was just a group of kids who 1035 00:53:39,000 --> 00:53:41,920 Speaker 2: used to run this organization called wilderness awareness. So they 1036 00:53:41,960 --> 00:53:47,800 Speaker 2: were like hyper hippies party and I remember there was 1037 00:53:47,840 --> 00:53:50,359 Speaker 2: her her roommate. I would like visit her, and I 1038 00:53:50,440 --> 00:53:53,000 Speaker 2: was like she was older, so she graduated high school 1039 00:53:53,120 --> 00:53:55,239 Speaker 2: and I was still in high school. And it's kind 1040 00:53:55,280 --> 00:54:00,680 Speaker 2: of like, oh boy, she was very tall and living 1041 00:54:00,719 --> 00:54:05,880 Speaker 2: in like a sharehouse in Belmar, New Jersey. And heommate 1042 00:54:06,280 --> 00:54:08,719 Speaker 2: was on he was fasting, and he was fasting for 1043 00:54:08,760 --> 00:54:11,640 Speaker 2: a month, And so there was during the month while 1044 00:54:11,680 --> 00:54:13,759 Speaker 2: I was kind of like seeing her, so I like 1045 00:54:13,880 --> 00:54:16,960 Speaker 2: kept seeing him. I would literally just walk by him. 1046 00:54:17,040 --> 00:54:19,600 Speaker 2: Usually in he would be on the couch like wrapped 1047 00:54:19,680 --> 00:54:23,080 Speaker 2: up in a lot of like blankets, and then as 1048 00:54:23,160 --> 00:54:25,320 Speaker 2: the month wore on, he would just like I would 1049 00:54:25,320 --> 00:54:27,080 Speaker 2: like come and he would just be on the roof 1050 00:54:27,520 --> 00:54:29,840 Speaker 2: just so he could be in the sun and stay warm. 1051 00:54:30,239 --> 00:54:30,399 Speaker 3: Oh. 1052 00:54:31,840 --> 00:54:35,080 Speaker 2: I watched him like like low, like just just get 1053 00:54:35,200 --> 00:54:38,279 Speaker 2: more and more gaunt and like feeling uncomfortable because he 1054 00:54:38,280 --> 00:54:40,799 Speaker 2: was probably eighteen. He's probably not doing fasting correctly. I 1055 00:54:40,840 --> 00:54:43,120 Speaker 2: know you can fast correctly and stuff. I'm sure he 1056 00:54:43,160 --> 00:54:45,560 Speaker 2: wasn't doing it right. But in their freezer, all they 1057 00:54:45,600 --> 00:54:48,400 Speaker 2: had was frozen animals that he had picked up on 1058 00:54:48,440 --> 00:54:53,000 Speaker 2: the roadside, like roadkilled that he was going to practice 1059 00:54:53,040 --> 00:54:58,080 Speaker 2: taxidermy on at some point the future. I think there 1060 00:54:58,120 --> 00:55:00,120 Speaker 2: was a duck that actually I know there was a 1061 00:55:00,120 --> 00:55:04,680 Speaker 2: all the cops call the FBI. So this is okay, sorry, 1062 00:55:04,719 --> 00:55:08,080 Speaker 2: I will end this story. But this is because there 1063 00:55:08,120 --> 00:55:11,359 Speaker 2: was definitely a frozen duck in there. Because at one 1064 00:55:11,400 --> 00:55:13,960 Speaker 2: point she was moving out, so they had to move 1065 00:55:14,719 --> 00:55:18,120 Speaker 2: all of these frozen animals out of the freezer. And 1066 00:55:18,239 --> 00:55:21,480 Speaker 2: so one day she shows up to hang out and 1067 00:55:21,600 --> 00:55:24,719 Speaker 2: she's got a frozen duck and a frozen raccoon with her, 1068 00:55:24,800 --> 00:55:27,600 Speaker 2: and we're at my friend Jeff's house and she's like, 1069 00:55:27,719 --> 00:55:31,480 Speaker 2: can I put these are fucking John's or whatever? Can 1070 00:55:31,520 --> 00:55:34,680 Speaker 2: I put these frozen animals in his in Jeff's freezer? 1071 00:55:34,719 --> 00:55:38,400 Speaker 1: And I was like, normal, ask every day, all the time, 1072 00:55:38,680 --> 00:55:39,760 Speaker 1: very normal. 1073 00:55:40,280 --> 00:55:43,600 Speaker 2: We put these frozen road killing your freezer. And that's 1074 00:55:43,680 --> 00:55:46,040 Speaker 2: really weird, but okay, do that. And this is his 1075 00:55:46,080 --> 00:55:48,560 Speaker 2: parents freezer, you know, he's still in high school. And 1076 00:55:48,600 --> 00:55:53,920 Speaker 2: then that night we all take acid. Then at one point, 1077 00:55:54,120 --> 00:55:56,840 Speaker 2: at one point, after like hours and hours and hours, 1078 00:55:57,440 --> 00:56:02,799 Speaker 2: my friend Threw gets he starts he's chasing. I just 1079 00:56:02,840 --> 00:56:05,319 Speaker 2: remember like sitting and watching it but he had he 1080 00:56:05,440 --> 00:56:07,440 Speaker 2: went in the freezer and found the duck, and no 1081 00:56:07,480 --> 00:56:08,520 Speaker 2: one had told him there was. 1082 00:56:08,520 --> 00:56:11,239 Speaker 3: A frozen duck in the mines. God no. 1083 00:56:11,400 --> 00:56:13,640 Speaker 2: And so he's on acid. He's got this frozen duck. 1084 00:56:13,680 --> 00:56:16,920 Speaker 2: He's like, what the fuck is this frozen? Why is 1085 00:56:16,960 --> 00:56:19,640 Speaker 2: there a frozen duck in the fridger. He's like, Jeff, 1086 00:56:19,680 --> 00:56:22,160 Speaker 2: what are you doing? What are you doing? Jeff? Jeff's like, 1087 00:56:22,239 --> 00:56:24,439 Speaker 2: it's not mine, man, it's hers. And he's like, don't 1088 00:56:24,480 --> 00:56:26,279 Speaker 2: you lie. He started like having like kind of a 1089 00:56:26,280 --> 00:56:28,879 Speaker 2: bad trip because of this frozen I would guess sit 1090 00:56:29,200 --> 00:56:33,200 Speaker 2: on the couch and watch Rue chase Jeff in a circle. 1091 00:56:33,239 --> 00:56:36,000 Speaker 2: It was one of those houses that like the staircase 1092 00:56:36,080 --> 00:56:38,239 Speaker 2: was in the middle and then all the rooms were 1093 00:56:38,280 --> 00:56:40,920 Speaker 2: just like around in a circle. And I just watched 1094 00:56:40,960 --> 00:56:44,480 Speaker 2: for like fifteen minutes where he chases him around, screaming, 1095 00:56:44,560 --> 00:56:48,120 Speaker 2: like to like to explain this duck, just this frozen 1096 00:56:48,200 --> 00:56:49,760 Speaker 2: daffing and running the whole time. 1097 00:56:50,360 --> 00:56:53,160 Speaker 6: Anyway, his story, He's like, don't you know it's illegal, 1098 00:56:53,280 --> 00:56:56,200 Speaker 6: Tooter duck pal. 1099 00:56:56,760 --> 00:56:59,640 Speaker 1: He was handing him a citation on top of everything. 1100 00:56:59,680 --> 00:57:03,200 Speaker 1: He was citing him. Emily, thank you so much for 1101 00:57:03,239 --> 00:57:05,560 Speaker 1: being such a wonderful guest. Is there anything you would 1102 00:57:05,600 --> 00:57:08,239 Speaker 1: like to plug in the meantime? Is there anything going 1103 00:57:08,280 --> 00:57:09,879 Speaker 1: on that we should know about? Where can we find 1104 00:57:09,880 --> 00:57:10,800 Speaker 1: you on social media? 1105 00:57:11,440 --> 00:57:14,480 Speaker 6: I am everywhere at the Space Gal. I think my 1106 00:57:14,600 --> 00:57:19,120 Speaker 6: latest project that I have really thrown myself into is 1107 00:57:19,160 --> 00:57:21,400 Speaker 6: creating a new clothing line. 1108 00:57:21,200 --> 00:57:23,600 Speaker 5: For women in roles that are. 1109 00:57:23,320 --> 00:57:26,439 Speaker 6: All NASA and space and science themed, and so. 1110 00:57:28,480 --> 00:57:31,040 Speaker 5: It's come out. It's already out, so. 1111 00:57:31,080 --> 00:57:32,400 Speaker 2: We go to get it because I'm going to go 1112 00:57:32,520 --> 00:57:33,880 Speaker 2: at spacecal. 1113 00:57:33,640 --> 00:57:36,400 Speaker 6: Spacecalstore dot com, spacegal Store dot com. 1114 00:57:36,400 --> 00:57:40,520 Speaker 2: Oh my, yeah, that's wonderful. Is going to love that 1115 00:57:40,760 --> 00:57:43,000 Speaker 2: so much. I'm going to get her some stuff for 1116 00:57:43,000 --> 00:57:46,200 Speaker 2: her birthday. So thank you so much, Emily. 1117 00:57:46,440 --> 00:57:49,360 Speaker 5: Yeah, thanks for having me bass. 1118 00:57:55,160 --> 00:57:57,840 Speaker 3: This has been an exactly right production. 1119 00:57:57,640 --> 00:58:01,440 Speaker 2: Produced and engineered by Katie Levine, music by Khan, and 1120 00:58:01,480 --> 00:58:03,680 Speaker 2: all of our artwork is done by Travis Millard. 1121 00:58:03,920 --> 00:58:06,600 Speaker 1: You can follow us on Instagram at the Bananas Podcast, 1122 00:58:06,640 --> 00:58:08,800 Speaker 1: where we post stories every day and things that we 1123 00:58:08,880 --> 00:58:10,320 Speaker 1: don't cover on the podcast. 1124 00:58:10,720 --> 00:58:13,880 Speaker 2: Listen, subscribe, and please leave us a review on Apple podcast, 1125 00:58:13,960 --> 00:58:15,920 Speaker 2: Stitcher or wherever you get your podcast. 1126 00:58:16,200 --> 00:58:19,280 Speaker 1: And if you're interested in advertising on Bananas, please email 1127 00:58:19,360 --> 00:58:22,280 Speaker 1: us at The Bananas Podcast at gmail dot com. That's 1128 00:58:22,440 --> 00:58:39,160 Speaker 1: the Bananas Podcast at gmail dot com.