1 00:00:00,120 --> 00:00:00,800 Speaker 1: Are you ready for. 2 00:00:00,720 --> 00:00:03,000 Speaker 2: This One's guy, I am having a great day. I'm 3 00:00:03,040 --> 00:00:03,840 Speaker 2: ready for this one. 4 00:00:04,760 --> 00:00:07,800 Speaker 1: This is one of my favorite titles. Okay, here is 5 00:00:07,840 --> 00:00:09,680 Speaker 1: a turtle that pees through its mouth. 6 00:00:12,039 --> 00:00:16,560 Speaker 2: Yeah, that's a that's a banana story. All right, I 7 00:00:16,720 --> 00:00:21,079 Speaker 2: says your world, Would you. 8 00:00:25,760 --> 00:00:26,640 Speaker 3: Tell your mind? 9 00:00:27,360 --> 00:00:40,239 Speaker 4: Sillian pieces, Bananas, Banana bance. 10 00:00:39,040 --> 00:00:43,519 Speaker 1: Bananas, Banana ladies and gent and welcome to Bananas. I'm 11 00:00:43,600 --> 00:00:44,760 Speaker 1: your host, Kurt Brown. 12 00:00:44,560 --> 00:00:47,800 Speaker 2: Older and I'm Scotti Landis. Welcome to the Bananas Podcast, 13 00:00:47,920 --> 00:00:51,840 Speaker 2: the silliest podcast there ever was. Today we have such 14 00:00:51,880 --> 00:00:54,600 Speaker 2: a cool guest. We have an extraordinary guest. This is 15 00:00:54,680 --> 00:00:57,320 Speaker 2: a young woman who, by the age of nineteen, has 16 00:00:57,360 --> 00:01:00,880 Speaker 2: already attended seven Space camps, Space cam ad me three times, 17 00:01:01,160 --> 00:01:05,040 Speaker 2: Robotics Academy, wants she's given Ted talks. She wants to 18 00:01:05,120 --> 00:01:07,480 Speaker 2: be the first person to step foot on Mars and 19 00:01:07,600 --> 00:01:11,320 Speaker 2: work fully behind her. Her name is Alyssa Carson. 20 00:01:11,800 --> 00:01:16,880 Speaker 1: Hi, Hi, Alyssa. So you are just for our listeners, 21 00:01:17,000 --> 00:01:21,520 Speaker 1: you are the youngest aster you will Essentially your plan 22 00:01:21,640 --> 00:01:24,040 Speaker 1: is to go to Mars, to be the first astronaut 23 00:01:24,080 --> 00:01:24,400 Speaker 1: on Mars. 24 00:01:24,600 --> 00:01:27,080 Speaker 3: Yeah, so, I mean the ultimate goal would be, you know, 25 00:01:27,200 --> 00:01:28,880 Speaker 3: to be able to be on one of those missions 26 00:01:28,920 --> 00:01:32,000 Speaker 3: to Mars. You know, obviously the first would be pretty cool, 27 00:01:32,080 --> 00:01:33,880 Speaker 3: but sadly, as an Ashtrount, you don't really get to 28 00:01:33,880 --> 00:01:37,720 Speaker 3: pick and choose which missions you go. So, you know, 29 00:01:37,840 --> 00:01:40,440 Speaker 3: the first would be pretty cool, but we'll see if 30 00:01:40,480 --> 00:01:42,000 Speaker 3: that if that actually happens. 31 00:01:42,560 --> 00:01:45,200 Speaker 1: What kind of training do you do as a nineteen 32 00:01:45,280 --> 00:01:46,000 Speaker 1: year old astronaut? 33 00:01:46,160 --> 00:01:48,560 Speaker 3: Yeah, so, I mean basically, so essentially what I'm doing 34 00:01:48,680 --> 00:01:50,640 Speaker 3: is almost like building a resume to be able to 35 00:01:50,720 --> 00:01:53,960 Speaker 3: apply to the ASTONK selection process in the future, because 36 00:01:54,000 --> 00:01:56,000 Speaker 3: you have to have a college degree and those kinds 37 00:01:56,000 --> 00:01:59,440 Speaker 3: of things to actually apply. But basically I work with 38 00:01:59,560 --> 00:02:02,480 Speaker 3: a C and science research group, which basically just means 39 00:02:02,600 --> 00:02:05,800 Speaker 3: like everyday people contributing to some kind of research. So 40 00:02:05,960 --> 00:02:08,320 Speaker 3: I've been kind of like start with them and do 41 00:02:08,440 --> 00:02:10,880 Speaker 3: some research, but all that can eventually be put on 42 00:02:10,919 --> 00:02:13,280 Speaker 3: a resume or relate to space, because we'll do you know, 43 00:02:13,720 --> 00:02:18,680 Speaker 3: microgravity flights or space suit evaluations or you know, decompression training, 44 00:02:18,800 --> 00:02:22,959 Speaker 3: water survival, any sort of stuff similar to what astronuts do. 45 00:02:24,320 --> 00:02:26,760 Speaker 1: And you went to a program called Possum, which is 46 00:02:26,840 --> 00:02:31,680 Speaker 1: a suborbital training program. Yeah, so what does that mean? 47 00:02:32,000 --> 00:02:35,160 Speaker 3: Yeah, so basically, so the name of the program is 48 00:02:35,240 --> 00:02:39,040 Speaker 3: Project POSSUM, so not as like the animal. So actually 49 00:02:39,120 --> 00:02:42,000 Speaker 3: Possum is an acronym which actually stands for a polar 50 00:02:42,040 --> 00:02:45,840 Speaker 3: suborbital science and the Upper mesosphere, which is basically just 51 00:02:45,960 --> 00:02:49,360 Speaker 3: a really complicated way of saying that they do science 52 00:02:49,400 --> 00:02:50,440 Speaker 3: and the upper atmosphere. 53 00:02:50,840 --> 00:02:53,440 Speaker 1: So basically their main. 54 00:02:53,440 --> 00:02:55,799 Speaker 3: Research is actually studying this type of cloud in the 55 00:02:55,880 --> 00:02:59,040 Speaker 3: upper atmosphere. But like I said, we also do other 56 00:02:59,160 --> 00:03:02,000 Speaker 3: research and other cool task with different space of companies 57 00:03:02,160 --> 00:03:06,200 Speaker 3: or even even just doing physical you know, human factor research. 58 00:03:07,880 --> 00:03:10,480 Speaker 1: Oh wow, So what is what was what's been the 59 00:03:10,560 --> 00:03:14,560 Speaker 1: most as Scottie said, what's been the most bananas thing 60 00:03:14,600 --> 00:03:15,560 Speaker 1: you've done in your training? 61 00:03:16,680 --> 00:03:20,040 Speaker 3: I mean I would definitely say the water survival thing 62 00:03:20,160 --> 00:03:23,080 Speaker 3: that I did, yeah, just because so basically we were 63 00:03:23,120 --> 00:03:24,919 Speaker 3: there for two weeks, so like the first week was 64 00:03:25,000 --> 00:03:27,760 Speaker 3: more like basic water survival, you know, like living in 65 00:03:27,919 --> 00:03:29,919 Speaker 3: life raft and that kind of thing. But then we 66 00:03:30,040 --> 00:03:31,800 Speaker 3: threw in for the second week, we threw in more 67 00:03:31,800 --> 00:03:33,600 Speaker 3: of like a space site, so we were like swimming 68 00:03:33,680 --> 00:03:37,720 Speaker 3: in spacesuits, we were pulling ourselves into life cofering spacesuits. 69 00:03:38,200 --> 00:03:41,200 Speaker 3: We were like just trying to do anything. We had 70 00:03:41,280 --> 00:03:43,800 Speaker 3: like behind like floaties that would like pop out like 71 00:03:43,880 --> 00:03:46,960 Speaker 3: almost under the armpit, and that was like our floatation device. 72 00:03:47,000 --> 00:03:49,400 Speaker 3: So we were testing those and they just really didn't 73 00:03:49,440 --> 00:03:52,120 Speaker 3: work well. But yeah, we were We had a huge 74 00:03:52,200 --> 00:03:54,760 Speaker 3: mock up capsule and we were basically testing how you 75 00:03:54,800 --> 00:03:57,680 Speaker 3: would escape from it if there happened to be elite. 76 00:03:59,480 --> 00:04:02,240 Speaker 1: Whoa, So there was like a capsule underwater You're in 77 00:04:02,280 --> 00:04:04,520 Speaker 1: a spacesuit and they flood it and you have to escape. 78 00:04:04,560 --> 00:04:08,720 Speaker 3: Okay, so not quite like all the way underwater capsule, 79 00:04:08,880 --> 00:04:11,800 Speaker 3: So like basically the capsule right on the surface of 80 00:04:11,880 --> 00:04:14,760 Speaker 3: the water, so it'd be almost like if you had 81 00:04:14,800 --> 00:04:19,200 Speaker 3: crash landed back. And then basically we did like a 82 00:04:19,320 --> 00:04:21,400 Speaker 3: side hatch and a top hatch, so coming out the 83 00:04:21,480 --> 00:04:23,800 Speaker 3: side of the capsule and we would slide down into 84 00:04:23,880 --> 00:04:26,560 Speaker 3: the water and then swim and then get into the 85 00:04:26,600 --> 00:04:28,240 Speaker 3: life rap or we would climb out the top and 86 00:04:28,360 --> 00:04:31,200 Speaker 3: we'd have to like basically blay down the entire side 87 00:04:31,240 --> 00:04:34,320 Speaker 3: of it and then get into a life wrap. 88 00:04:35,200 --> 00:04:38,200 Speaker 2: That's so cool. You have to I bet you excel 89 00:04:38,240 --> 00:04:40,520 Speaker 2: at escape room. So have you ever done an escape room? 90 00:04:40,560 --> 00:04:43,480 Speaker 2: Because if not, I'm taking you with me them I 91 00:04:43,600 --> 00:04:47,200 Speaker 2: really enjoyed that. I had the funniest experience. I've only 92 00:04:47,279 --> 00:04:52,239 Speaker 2: done it once. It's actually not my kind of thing overall. 93 00:04:52,440 --> 00:04:54,600 Speaker 2: I don't know why, Like I'm not like a big 94 00:04:54,640 --> 00:04:56,920 Speaker 2: games night guy. And then the escape room is like 95 00:04:57,000 --> 00:04:59,919 Speaker 2: a fully interactive version of that. But the funniest thing happened. 96 00:05:00,240 --> 00:05:03,040 Speaker 2: We went with a group of older people. We had 97 00:05:03,040 --> 00:05:05,039 Speaker 2: all gone out, had a couple of drinks, that sort 98 00:05:05,080 --> 00:05:08,000 Speaker 2: of thing, and at the end we find a hard 99 00:05:08,080 --> 00:05:09,920 Speaker 2: drive and then you stick the hard drive in this 100 00:05:11,040 --> 00:05:14,159 Speaker 2: printer and then you have to print like the escape 101 00:05:14,200 --> 00:05:17,120 Speaker 2: code or whatever. And so we stuck the hard drive 102 00:05:17,240 --> 00:05:21,560 Speaker 2: into the computer into the printer and press print, and 103 00:05:22,279 --> 00:05:24,040 Speaker 2: it said it was out of ink. So then we 104 00:05:24,080 --> 00:05:26,800 Speaker 2: all just started hunting for ink, and we're looking around 105 00:05:26,920 --> 00:05:29,440 Speaker 2: and then this employee just knocks on the door and 106 00:05:29,560 --> 00:05:34,280 Speaker 2: he's like, I forgot to change the ink. You guys 107 00:05:34,400 --> 00:05:39,200 Speaker 2: won stop looking around for ink, you bozo idiots. But 108 00:05:39,320 --> 00:05:41,920 Speaker 2: it was fantastic. I actually saw some video of you 109 00:05:42,080 --> 00:05:44,520 Speaker 2: getting tipped upside down and blindfolded and then having to 110 00:05:44,640 --> 00:05:46,719 Speaker 2: come out, and that I think for a lot of people, 111 00:05:47,560 --> 00:05:50,920 Speaker 2: being blindfolded alone is creepy, but then being submerged while 112 00:05:51,000 --> 00:05:55,600 Speaker 2: buckled and secured upside down and then to escape. It's 113 00:05:55,640 --> 00:05:57,479 Speaker 2: pretty cool. That training seems pretty fun. 114 00:05:57,960 --> 00:06:00,080 Speaker 3: Yeah, no, for that one. You know, in particular, we 115 00:06:00,160 --> 00:06:03,280 Speaker 3: were mainly focusing on, you know, how do you you know, 116 00:06:03,440 --> 00:06:06,560 Speaker 3: manage being so disoriented underwater because you know, you lose 117 00:06:06,600 --> 00:06:10,080 Speaker 3: so many senses if you're submerged underwater, and you know, 118 00:06:10,240 --> 00:06:12,560 Speaker 3: that skill that we are kind of testing was also 119 00:06:12,920 --> 00:06:14,880 Speaker 3: you know, something you could apply if you know your 120 00:06:14,960 --> 00:06:17,280 Speaker 3: car goes underwater and you're buckled in your seatbelt. You know. 121 00:06:17,440 --> 00:06:20,720 Speaker 3: So basically they had us blindfolded, We're buckled into a seat, 122 00:06:20,800 --> 00:06:23,240 Speaker 3: we had a fake window that we had to push 123 00:06:23,320 --> 00:06:25,800 Speaker 3: out and stuff. So it was pretty cool. 124 00:06:26,640 --> 00:06:29,760 Speaker 1: Wow, that's amazing. And also from one of your Ted talks, 125 00:06:30,920 --> 00:06:32,600 Speaker 1: this is something I didn't know is that you don't 126 00:06:32,720 --> 00:06:36,680 Speaker 1: like actually you have to be something first before you 127 00:06:36,800 --> 00:06:40,320 Speaker 1: actually become an astronaut. Yeah, right, Like and what are 128 00:06:40,360 --> 00:06:44,000 Speaker 1: you planning on like studying, uh and becoming before you 129 00:06:44,200 --> 00:06:46,640 Speaker 1: become an astronaut and then before you become the first 130 00:06:47,120 --> 00:06:51,440 Speaker 1: person on Mars. I'm sticking with that very first person 131 00:06:51,520 --> 00:06:51,880 Speaker 1: on Mars. 132 00:06:51,960 --> 00:06:53,600 Speaker 3: Yes, yeah, well I mean totally. I mean it's not 133 00:06:53,720 --> 00:06:55,840 Speaker 3: like you can go to college and major and becoming 134 00:06:55,880 --> 00:07:00,680 Speaker 3: an astronaut. You know, it's not quite that simple, sadly. 135 00:07:01,400 --> 00:07:03,600 Speaker 3: So there's you know, so many different fields you can 136 00:07:03,640 --> 00:07:06,320 Speaker 3: go into, so it's really kind of all about whatever 137 00:07:06,440 --> 00:07:10,800 Speaker 3: your personal interest is. So I'm currently studying astrobiology. So 138 00:07:10,960 --> 00:07:14,040 Speaker 3: basically what that means is like almost kind of like 139 00:07:14,160 --> 00:07:18,040 Speaker 3: anything living in space, but also kind of almost practically 140 00:07:18,120 --> 00:07:20,840 Speaker 3: anything in space because you know, with astrobiology you can 141 00:07:20,880 --> 00:07:24,280 Speaker 3: study from bacterias to plants to entire solar systems if 142 00:07:24,320 --> 00:07:26,480 Speaker 3: you really want to, So you just kind of have 143 00:07:26,560 --> 00:07:29,040 Speaker 3: a huge variety of stuff you're able to study. 144 00:07:30,600 --> 00:07:34,160 Speaker 1: Very cool. And also, obviously for is the plan once 145 00:07:34,200 --> 00:07:35,840 Speaker 1: you're in Mars, you'd have to grow all your own 146 00:07:35,880 --> 00:07:36,640 Speaker 1: food and everything. 147 00:07:36,720 --> 00:07:37,960 Speaker 2: Correct, Well, I mean. 148 00:07:37,960 --> 00:07:40,120 Speaker 3: Definitely we're gonna going to have to kind of rely 149 00:07:40,280 --> 00:07:42,600 Speaker 3: on growing food to at least an extent. You know, 150 00:07:42,640 --> 00:07:44,400 Speaker 3: we'll probably bring some food with this as well, but 151 00:07:44,520 --> 00:07:46,480 Speaker 3: we're gonna have to grow most of it. So that 152 00:07:46,600 --> 00:07:48,320 Speaker 3: is going to be a huge part of what we do. 153 00:07:48,920 --> 00:07:50,840 Speaker 2: Wow, that's so cool. 154 00:07:51,680 --> 00:07:54,320 Speaker 1: If someone say, like my daughter becomes interested in wanting 155 00:07:54,360 --> 00:07:58,680 Speaker 1: to be an astronaut, you what would you recommend that 156 00:07:58,840 --> 00:08:02,080 Speaker 1: you do? Because I know you can pleaded like NASA's 157 00:08:02,480 --> 00:08:04,840 Speaker 1: Passport program. You're one of the only people who's ever 158 00:08:04,920 --> 00:08:06,720 Speaker 1: completed the passport program, Is that true? 159 00:08:07,120 --> 00:08:09,200 Speaker 3: Yeah? So, I mean, so a lot of the things 160 00:08:09,240 --> 00:08:10,960 Speaker 3: that I did, like when I was younger and stuff, 161 00:08:10,960 --> 00:08:13,040 Speaker 3: So like the Passport program was like going and like 162 00:08:13,160 --> 00:08:15,800 Speaker 3: visiting the fourteen NASSA visitor centers like all around the 163 00:08:15,840 --> 00:08:17,960 Speaker 3: country and that kind of thing. But a lot of 164 00:08:18,000 --> 00:08:19,680 Speaker 3: the stuff I did when I was younger was really 165 00:08:19,800 --> 00:08:22,480 Speaker 3: just kind of helping me learn about space, learn about 166 00:08:22,480 --> 00:08:25,400 Speaker 3: the opportunities in space what I could do, and then 167 00:08:25,520 --> 00:08:27,520 Speaker 3: kind of you know, taking that knowledge and figuring out, 168 00:08:27,560 --> 00:08:28,880 Speaker 3: you know, what kind of career I would. 169 00:08:28,680 --> 00:08:29,400 Speaker 2: To go into. 170 00:08:29,480 --> 00:08:31,840 Speaker 3: Look a astronaut I would want to be, So that 171 00:08:31,920 --> 00:08:34,320 Speaker 3: was kind of super helpful. But I mean in terms 172 00:08:34,360 --> 00:08:37,040 Speaker 3: of like other people, you know, wanting to get into 173 00:08:37,160 --> 00:08:39,000 Speaker 3: becoming a national and that kind of thing, it's kind 174 00:08:39,040 --> 00:08:41,640 Speaker 3: of just all about like starting and figuring out what 175 00:08:41,720 --> 00:08:44,760 Speaker 3: you're interested in. Because if you're looking at becoming an astroid, 176 00:08:44,800 --> 00:08:46,679 Speaker 3: you know, you can go into the military, you can 177 00:08:46,720 --> 00:08:49,040 Speaker 3: take more of a civilian route. You can study science 178 00:08:49,160 --> 00:08:52,400 Speaker 3: or become a pilot, or study medicine or you know, 179 00:08:52,480 --> 00:08:54,839 Speaker 3: there's just so many different options, so you kind of 180 00:08:54,920 --> 00:08:56,839 Speaker 3: have to play around a little bit to figure out, 181 00:08:56,920 --> 00:08:58,959 Speaker 3: you know, what kind of career you would want to be. 182 00:08:59,040 --> 00:09:00,760 Speaker 3: You can you have to kind of I put astronaut 183 00:09:00,800 --> 00:09:02,959 Speaker 3: kind of in the back of your mind because you 184 00:09:03,080 --> 00:09:05,119 Speaker 3: have to pursue some other career. 185 00:09:04,920 --> 00:09:08,640 Speaker 1: First, right of course. Well, I'm so excited that you're 186 00:09:08,640 --> 00:09:11,160 Speaker 1: here and that you're gonna be the first person on Mars. 187 00:09:11,320 --> 00:09:13,040 Speaker 1: Do you want to hear about this turtle that pisses 188 00:09:13,040 --> 00:09:13,640 Speaker 1: through its mouth? 189 00:09:14,040 --> 00:09:14,280 Speaker 2: Yeah? 190 00:09:18,000 --> 00:09:20,839 Speaker 1: So the title that I read, Here's a turtle that 191 00:09:20,880 --> 00:09:23,920 Speaker 1: peeks through its mouth is from Grist. This was sent in, 192 00:09:24,080 --> 00:09:26,680 Speaker 1: by the way, from a listener, Lieutenant Dan ice Cream. 193 00:09:26,840 --> 00:09:29,160 Speaker 1: This is the second time Dan ice Cream has gotten 194 00:09:29,440 --> 00:09:34,439 Speaker 1: a story on the podcast. Yeah, but I I wanted 195 00:09:34,520 --> 00:09:37,120 Speaker 1: to go because I don't I don't recognize Grist. So 196 00:09:37,240 --> 00:09:39,760 Speaker 1: I went and looked it up and here's an article, 197 00:09:39,800 --> 00:09:44,800 Speaker 1: the original articles from Discover magazine. Legit, Legit, and the 198 00:09:45,040 --> 00:09:47,839 Speaker 1: title is this Chinese turtle urinates through its mouth and 199 00:09:48,320 --> 00:09:51,760 Speaker 1: it is I will read. This is from Discover is 200 00:09:51,840 --> 00:09:57,319 Speaker 1: written by by ed Young. Thank you Eddie. So this 201 00:09:57,679 --> 00:10:00,640 Speaker 1: the Chinese soft shell turtle looks like someone the snout 202 00:10:00,679 --> 00:10:02,880 Speaker 1: of a pig under the face of a fish with 203 00:10:03,040 --> 00:10:05,839 Speaker 1: the texture of a scrotum for good measure, And that 204 00:10:06,559 --> 00:10:10,520 Speaker 1: is the best first sentence of any science article I've 205 00:10:10,559 --> 00:10:15,240 Speaker 1: ever read. But its bizarre appearance pales in comparison to 206 00:10:15,280 --> 00:10:18,840 Speaker 1: an even more bizarre and newly discovered habit. It expels 207 00:10:18,960 --> 00:10:23,840 Speaker 1: waste through its mouth. So yes, So basically the way 208 00:10:23,960 --> 00:10:26,520 Speaker 1: this turtle does it is, you know, when it breaks 209 00:10:26,600 --> 00:10:30,240 Speaker 1: down waste in its blood through the liver, it ends 210 00:10:30,320 --> 00:10:34,240 Speaker 1: up into an abundance of nitrogen, which obviously it expels 211 00:10:34,280 --> 00:10:36,360 Speaker 1: from its body in the form of urea. But it 212 00:10:36,559 --> 00:10:42,520 Speaker 1: doesn't have kidneys, so instead it has gills in its 213 00:10:42,720 --> 00:10:46,800 Speaker 1: cheeks and it just flushes water in and out and 214 00:10:46,960 --> 00:10:50,839 Speaker 1: expels the urea through its mouth, so the gills and 215 00:10:50,960 --> 00:10:54,560 Speaker 1: it actually cleans the blood twenty five to thirty times faster, 216 00:10:55,760 --> 00:11:00,640 Speaker 1: fifteen to fifty times faster than kidneys would, which is fastating. 217 00:11:00,800 --> 00:11:03,640 Speaker 1: It's a really great turtle that pisses through its mouth 218 00:11:03,800 --> 00:11:04,880 Speaker 1: and it's very efficient. 219 00:11:06,400 --> 00:11:06,880 Speaker 2: That's a. 220 00:11:08,880 --> 00:11:09,360 Speaker 1: Questions. 221 00:11:09,840 --> 00:11:13,040 Speaker 3: Yeah, I have you know, thinking fun to like bring 222 00:11:13,120 --> 00:11:15,719 Speaker 3: that to like microgravity and just see like you know, 223 00:11:16,600 --> 00:11:18,520 Speaker 3: like just pain through its mouth and the he just 224 00:11:18,559 --> 00:11:21,920 Speaker 3: like floating away from it, like I wonder if I 225 00:11:21,920 --> 00:11:23,400 Speaker 3: would like propel it, or. 226 00:11:24,920 --> 00:11:28,360 Speaker 1: This is maybe this is maybe a new engine idea 227 00:11:29,240 --> 00:11:29,880 Speaker 1: for NASA. 228 00:11:31,760 --> 00:11:34,560 Speaker 2: I know not it seems like a crazy thing where 229 00:11:34,600 --> 00:11:38,120 Speaker 2: it's like they if you've witnessed a Oh so Kurt 230 00:11:38,160 --> 00:11:40,800 Speaker 2: and I almost We did a TV pilot years ago 231 00:11:40,960 --> 00:11:43,400 Speaker 2: where we were trying to figure out like it was 232 00:11:43,440 --> 00:11:47,560 Speaker 2: called a Bigger, Dumber, Faster, and of course it didn't 233 00:11:47,559 --> 00:11:50,480 Speaker 2: get made, but one of the ideas we were going 234 00:11:50,559 --> 00:11:55,319 Speaker 2: to do was we wanted to jumpstart evolution, so we 235 00:11:55,440 --> 00:11:58,199 Speaker 2: were going to take a crocodile on that zero G 236 00:11:58,480 --> 00:12:00,720 Speaker 2: plane that goes up and down then and then you float. 237 00:12:01,760 --> 00:12:03,280 Speaker 2: With the idea that we were going to take a 238 00:12:03,360 --> 00:12:06,040 Speaker 2: dinosaur into space and it was just gonna be Kurt 239 00:12:06,280 --> 00:12:08,880 Speaker 2: floating through the air. And then one of our producers 240 00:12:09,000 --> 00:12:12,480 Speaker 2: was like, well, what if it regurgitates barfs all over you? 241 00:12:12,960 --> 00:12:15,240 Speaker 2: And we were like, that would be the dream scenario. 242 00:12:15,920 --> 00:12:17,880 Speaker 2: And I think this turtle is going to lead the 243 00:12:17,960 --> 00:12:19,319 Speaker 2: way this is. 244 00:12:19,480 --> 00:12:22,480 Speaker 1: And we we had we like literally had a producer 245 00:12:23,040 --> 00:12:26,040 Speaker 1: like budget it out and we found out that that 246 00:12:26,559 --> 00:12:29,840 Speaker 1: zero G plane costs a ton of money and they 247 00:12:29,880 --> 00:12:32,640 Speaker 1: wouldn't let us bring an alligator in it shocking. 248 00:12:33,040 --> 00:12:36,040 Speaker 3: Well, with the zero G planes, what you have to 249 00:12:36,200 --> 00:12:39,439 Speaker 3: do is you have to put like some you know, 250 00:12:39,520 --> 00:12:41,760 Speaker 3: come up with some kind of experiment where it's like 251 00:12:41,880 --> 00:12:45,960 Speaker 3: you say, and then NASA proves it and then it's free. 252 00:12:47,600 --> 00:12:48,839 Speaker 1: Oh done it that way? 253 00:12:49,080 --> 00:12:49,200 Speaker 2: Oh? 254 00:12:49,480 --> 00:12:52,480 Speaker 1: I wish we had known that we needed you back then. Instead, 255 00:12:52,559 --> 00:12:54,760 Speaker 1: what our idea was we wanted to bring a flightless 256 00:12:54,800 --> 00:12:57,280 Speaker 1: bird and give them the gift of flight. So we 257 00:12:57,360 --> 00:13:00,760 Speaker 1: wanted to bring a penguin on a blimp, but we 258 00:13:00,800 --> 00:13:02,560 Speaker 1: couldn't get a penguin or a blimp, so we brought 259 00:13:02,600 --> 00:13:06,640 Speaker 1: a chicken on a hot air balloon, which snowflake at 260 00:13:06,679 --> 00:13:07,040 Speaker 1: some point. 261 00:13:07,160 --> 00:13:10,240 Speaker 2: It was pretty great. So have you done a micro well, 262 00:13:10,320 --> 00:13:12,199 Speaker 2: have you ever done microgravity? Have you done one of 263 00:13:12,240 --> 00:13:15,000 Speaker 2: these float around zero G things? 264 00:13:15,040 --> 00:13:18,280 Speaker 1: I've seen a video of her micro gravity. Oh yeah, 265 00:13:18,440 --> 00:13:18,959 Speaker 1: yeah I have. 266 00:13:19,760 --> 00:13:22,040 Speaker 3: The one that I did was up in Canada, so 267 00:13:22,160 --> 00:13:24,319 Speaker 3: it wasn't like zero G like the company here in 268 00:13:24,400 --> 00:13:27,319 Speaker 3: the US that's like most popular for doing it, and 269 00:13:27,559 --> 00:13:30,080 Speaker 3: ours was a little different because if you look at 270 00:13:30,120 --> 00:13:32,920 Speaker 3: like the zero G planes, like it's hollowed out basically 271 00:13:33,040 --> 00:13:35,959 Speaker 3: with padding and stuff. Yeah, ours was like patch full 272 00:13:36,000 --> 00:13:39,439 Speaker 3: of like equipment and research and like seats and all 273 00:13:39,480 --> 00:13:42,400 Speaker 3: sorts of other stuff. So we weren't like quiet as 274 00:13:42,760 --> 00:13:44,400 Speaker 3: jan quite have the luxury of just kind of like 275 00:13:44,480 --> 00:13:47,240 Speaker 3: floating around and having a good time. But it was 276 00:13:47,280 --> 00:13:48,400 Speaker 3: still super super cool. 277 00:13:49,200 --> 00:13:51,760 Speaker 1: Yeah, and the experiment you were doing was on like 278 00:13:51,880 --> 00:13:54,080 Speaker 1: a new type of space suit. Yeah. 279 00:13:54,160 --> 00:13:57,400 Speaker 3: So basically the idea was, so the spacer company that 280 00:13:57,800 --> 00:14:01,280 Speaker 3: we primarily work with is final into your spacesuit design, 281 00:14:01,720 --> 00:14:03,760 Speaker 3: and basically the goal was it was the first time 282 00:14:03,840 --> 00:14:07,079 Speaker 3: that we had the suit pressure eye so completely close 283 00:14:07,800 --> 00:14:11,000 Speaker 3: with its own oxygen flow and everything. And basically the 284 00:14:11,200 --> 00:14:13,760 Speaker 3: test was seeing how well you would be able to 285 00:14:13,840 --> 00:14:17,720 Speaker 3: maneuver in the suit in micro gravity. So each bablo 286 00:14:17,840 --> 00:14:20,960 Speaker 3: we had a different task. So you know, my job 287 00:14:21,120 --> 00:14:23,080 Speaker 3: at that time was really just like making sure he 288 00:14:23,320 --> 00:14:26,840 Speaker 3: was okay, because if he were to vomit in the suit, 289 00:14:26,920 --> 00:14:29,200 Speaker 3: then it would just be a really bad day. So 290 00:14:33,440 --> 00:14:36,800 Speaker 3: hell when he was lying that he was okay and stuff. 291 00:14:36,880 --> 00:14:40,640 Speaker 3: But basically, you know, each each flight, each flight, you know, 292 00:14:40,760 --> 00:14:42,720 Speaker 3: he had to try to buckle a seatbelt or work 293 00:14:42,800 --> 00:14:44,480 Speaker 3: on a busy board, and you know, we were just 294 00:14:44,520 --> 00:14:47,000 Speaker 3: seeing how well the suit works in micro gravity. 295 00:14:48,120 --> 00:14:52,240 Speaker 1: Okay, cool, And then you also designed your own luggage 296 00:14:52,360 --> 00:14:53,640 Speaker 1: for space, Is that correct? 297 00:14:54,400 --> 00:14:57,680 Speaker 3: Yeah? So I did. I well, I guess me myself 298 00:14:57,760 --> 00:15:00,600 Speaker 3: and I know we it was kind of like a 299 00:15:00,640 --> 00:15:04,440 Speaker 3: little bit of a partnership with the with the luggage 300 00:15:04,480 --> 00:15:08,920 Speaker 3: company called Horizon Horizon Studios and they're kind of over 301 00:15:09,000 --> 00:15:12,480 Speaker 3: in Germany. But basically the idea was because it was 302 00:15:12,560 --> 00:15:15,200 Speaker 3: more of like a conceptual thing that you know what 303 00:15:15,360 --> 00:15:18,440 Speaker 3: eventually come to life in the future, but kind of 304 00:15:18,520 --> 00:15:22,400 Speaker 3: the idea was making luggage for space tourism. So since 305 00:15:22,440 --> 00:15:25,680 Speaker 3: space tourism is coming about, you know eventually where when 306 00:15:25,760 --> 00:15:27,960 Speaker 3: people want to go to space, they're gonna they're gonna 307 00:15:27,960 --> 00:15:30,280 Speaker 3: want to bring their belongings, and we can't have you know, 308 00:15:30,520 --> 00:15:34,600 Speaker 3: just everyday luggage just chilling floating around. So the idea 309 00:15:34,720 --> 00:15:36,400 Speaker 3: was trying to make something that would be functional for 310 00:15:36,520 --> 00:15:38,000 Speaker 3: space but also look really cool. 311 00:15:39,480 --> 00:15:41,880 Speaker 1: Nice Scott, you got another one for me? 312 00:15:41,920 --> 00:15:45,040 Speaker 2: By I do? I Actually I did some research this morning, 313 00:15:45,120 --> 00:15:48,280 Speaker 2: so I have some a lists of specific news stories. 314 00:15:48,480 --> 00:15:54,640 Speaker 2: So your call sign is Blueberry, correct, Yes, And we 315 00:15:54,840 --> 00:15:58,160 Speaker 2: don't show the video of this podcast. Uh, this is 316 00:15:58,320 --> 00:16:01,720 Speaker 2: just an audio podcast. But Alyssa is wearing a flight 317 00:16:01,800 --> 00:16:04,040 Speaker 2: suit right now that is blue is that where it 318 00:16:04,080 --> 00:16:06,760 Speaker 2: comes from because you were very small compared to everybody 319 00:16:06,760 --> 00:16:08,120 Speaker 2: else and wearing a blue flight suit. 320 00:16:08,480 --> 00:16:11,680 Speaker 3: Yeah, so, I mean kind of the story behind blueberries. Basically, 321 00:16:11,760 --> 00:16:13,400 Speaker 3: the second time I went to space Camp when I 322 00:16:13,600 --> 00:16:16,120 Speaker 3: was when I was younger, I wanted one of like 323 00:16:16,200 --> 00:16:18,240 Speaker 3: the blue flight suits that everyone was wearing because I 324 00:16:18,320 --> 00:16:20,240 Speaker 3: wanted to an astronaut, so I want to look like 325 00:16:21,560 --> 00:16:23,600 Speaker 3: But yeah, I was actually too small to fit in 326 00:16:23,760 --> 00:16:26,240 Speaker 3: any of them. So what my dad end up doing 327 00:16:26,360 --> 00:16:28,920 Speaker 3: was basically finding like this knockoff one or just like 328 00:16:30,160 --> 00:16:33,320 Speaker 3: just not like what everyone else had. But basically it 329 00:16:33,400 --> 00:16:35,240 Speaker 3: was just a really dark, dark sheet of blue and 330 00:16:35,400 --> 00:16:40,040 Speaker 3: just not really the right color, just off. So everyone 331 00:16:40,120 --> 00:16:42,440 Speaker 3: told me it made me look like a blueberry because 332 00:16:42,440 --> 00:16:44,880 Speaker 3: of how dark the color was, and so you know, 333 00:16:45,360 --> 00:16:47,920 Speaker 3: for the rest of the time at that camp, they 334 00:16:47,960 --> 00:16:49,800 Speaker 3: would just say, you know, blueberry, can you do this 335 00:16:49,960 --> 00:16:53,120 Speaker 3: whatever it might be, And then you know, I was like, okay, 336 00:16:53,240 --> 00:16:55,520 Speaker 3: you know whatever, came back the next year to space 337 00:16:55,560 --> 00:16:58,040 Speaker 3: Camp and they were like, oh, it's blueberry, and I'm like, okay, 338 00:16:58,160 --> 00:17:03,720 Speaker 3: it's continuing. Yeah, Eventually I just kinda just stop wanting 339 00:17:03,800 --> 00:17:05,440 Speaker 3: to fight it and just roll with it. 340 00:17:06,640 --> 00:17:08,600 Speaker 2: It's pretty good. I gotta say it's a good one. 341 00:17:08,760 --> 00:17:12,600 Speaker 2: That's uh, Kurt, who would you be? What would your 342 00:17:12,640 --> 00:17:15,120 Speaker 2: call so? What would your call sign be? Oh? 343 00:17:15,320 --> 00:17:18,120 Speaker 1: Tiny giraffe, Tiny giraffe, that's pretty good. 344 00:17:18,480 --> 00:17:20,959 Speaker 2: You want to fly. If you're looking right and something's 345 00:17:21,000 --> 00:17:24,080 Speaker 2: going wrong, you want tiny giraffe right there. 346 00:17:25,359 --> 00:17:26,920 Speaker 1: But what would you be, Scottie? 347 00:17:27,480 --> 00:17:33,440 Speaker 2: Oh? Probably like uh like, how about camo meal? Because 348 00:17:34,119 --> 00:17:36,080 Speaker 2: if things go bad, I'm just going to pretend to 349 00:17:36,160 --> 00:17:37,800 Speaker 2: be asleep the entire time. 350 00:17:38,240 --> 00:17:38,520 Speaker 4: You are. 351 00:17:38,640 --> 00:17:40,960 Speaker 1: You actually are very calming. You would be good to 352 00:17:41,040 --> 00:17:43,280 Speaker 1: have on a space. Yeah, yeah, Scott. 353 00:17:43,359 --> 00:17:48,560 Speaker 2: Okay. So there's the headline, wolves eat blueberries. That's the title. 354 00:17:49,359 --> 00:17:53,240 Speaker 2: This is from citypages dot com, written by our absolute 355 00:17:53,440 --> 00:17:57,440 Speaker 2: favorite Hannah Jones. And I'm just Hannah nailed this one. 356 00:17:57,760 --> 00:18:01,679 Speaker 2: And this was from two day Everyone. We have an 357 00:18:01,680 --> 00:18:06,399 Speaker 2: important announcement to make wolves like blueberries. It's true. Some 358 00:18:06,600 --> 00:18:11,120 Speaker 2: field biologists in Northern Minnesota's Greater Voyagers ecosystem caught them 359 00:18:11,200 --> 00:18:13,280 Speaker 2: on film. So there is a video of this. I 360 00:18:13,400 --> 00:18:17,520 Speaker 2: watched it. It's thrilling. These wolves are hog wild about 361 00:18:17,560 --> 00:18:22,760 Speaker 2: these little blue boys. Weird sentence. Scientists have known that 362 00:18:22,880 --> 00:18:26,080 Speaker 2: wolves love berries since twenty fifteen. You would have thought 363 00:18:26,119 --> 00:18:28,280 Speaker 2: this was longer, but no. But this is the first 364 00:18:28,320 --> 00:18:30,960 Speaker 2: time they've ever gotten video evidence. That's all thanks to 365 00:18:31,040 --> 00:18:34,080 Speaker 2: Tom Gable and his colleagues at Voyager's Wolf Project, who 366 00:18:34,160 --> 00:18:37,639 Speaker 2: got this footage while spying on wolves last summer. The 367 00:18:37,680 --> 00:18:41,119 Speaker 2: Wolf Project is a collaboration between Voyagers, National Park never 368 00:18:41,200 --> 00:18:44,639 Speaker 2: heard of it sounds pretty cool, and the University of Minnesota. 369 00:18:45,080 --> 00:18:47,959 Speaker 2: So the new footage this actually gets more bananas than 370 00:18:48,240 --> 00:18:52,959 Speaker 2: just wolves fighting blueberries. Yeah, I know. So the new 371 00:18:53,000 --> 00:18:55,639 Speaker 2: footage suggests that blueberries might be a more important part 372 00:18:55,680 --> 00:18:58,640 Speaker 2: of their diet than we originally thought, maybe a starvation 373 00:18:58,840 --> 00:19:03,159 Speaker 2: food because blueberries are much lower in calories than a 374 00:19:03,280 --> 00:19:07,120 Speaker 2: hunk of organ meat. Again, crazy sentence. So here's where 375 00:19:07,160 --> 00:19:11,800 Speaker 2: it gets a little weirder. Thanks to the paper, we 376 00:19:12,000 --> 00:19:15,520 Speaker 2: also know that adult wolves will feed blueberries to their pups. 377 00:19:15,720 --> 00:19:19,320 Speaker 2: Whatever you're picturing, it's grosser than that. Think about birds. 378 00:19:19,640 --> 00:19:23,479 Speaker 2: According to an incredibly detailed account, a fellow researcher Austin 379 00:19:23,800 --> 00:19:27,720 Speaker 2: Homekeys witness five pumps gathering around an adult wolf licking 380 00:19:27,880 --> 00:19:31,600 Speaker 2: its mouth. After about thirty seconds, the adult wolf begins 381 00:19:31,680 --> 00:19:35,400 Speaker 2: to puke up dinner. The puffs eat the regurgitated food 382 00:19:35,560 --> 00:19:38,879 Speaker 2: directly from the wolf's mouth as the adults slowly walked 383 00:19:38,880 --> 00:19:41,840 Speaker 2: around and the other pups followed behind it. So basically 384 00:19:41,920 --> 00:19:45,320 Speaker 2: at baby birds it these adult wolves are eating blueberries, 385 00:19:45,560 --> 00:19:48,720 Speaker 2: chewing them with grass and then barfing them onto the ground, 386 00:19:48,880 --> 00:19:51,040 Speaker 2: and then all the little baby wolves a little pups 387 00:19:51,119 --> 00:19:55,840 Speaker 2: go wild for it, and then they have footage of it. 388 00:19:56,000 --> 00:19:58,480 Speaker 2: I would recommend you guys can picture it. I'm sure 389 00:19:58,560 --> 00:20:02,280 Speaker 2: and your cars are at home, but guys, wolves love blueberries. 390 00:20:02,320 --> 00:20:03,440 Speaker 2: So you heard it here first. 391 00:20:05,080 --> 00:20:08,919 Speaker 1: What I love about science is how it is built 392 00:20:09,320 --> 00:20:13,360 Speaker 1: by very small pieces of information at a time. Yes, 393 00:20:13,560 --> 00:20:16,160 Speaker 1: that it's just like one big sand castle that's built 394 00:20:16,160 --> 00:20:19,640 Speaker 1: by very small people. Like we finally have video proof 395 00:20:19,720 --> 00:20:23,920 Speaker 1: of wolves eating blueberries, just finally locking in that last 396 00:20:24,080 --> 00:20:26,280 Speaker 1: wolf behavior that we didn't know about. 397 00:20:27,280 --> 00:20:31,000 Speaker 2: And also it's the human assumption where we're projecting, Like 398 00:20:31,520 --> 00:20:33,760 Speaker 2: if I saw wolf barfing blueberries, I would be like, 399 00:20:33,840 --> 00:20:38,399 Speaker 2: wolves hate blueberries. That wolf and a blueberry, and just 400 00:20:38,520 --> 00:20:39,359 Speaker 2: was like not for me. 401 00:20:40,359 --> 00:20:41,840 Speaker 1: They hate their kids. 402 00:20:41,840 --> 00:20:45,000 Speaker 2: And they hate their kids. Here you go. I looked 403 00:20:45,080 --> 00:20:47,520 Speaker 2: up some blueberry facts because I know you guys just 404 00:20:47,640 --> 00:20:50,040 Speaker 2: need to know this. A single blueberry bush can produce 405 00:20:50,080 --> 00:20:53,879 Speaker 2: as many as six thousand blueberries a year, more than 406 00:20:53,960 --> 00:20:57,760 Speaker 2: I thought. The United States is the world's largest producer 407 00:20:57,960 --> 00:21:01,959 Speaker 2: of blueberries. In totals, six hundred and ninety pounds were 408 00:21:02,040 --> 00:21:09,479 Speaker 2: cultivated and produced, and British Columbia beautiful. We love Canada 409 00:21:09,520 --> 00:21:12,640 Speaker 2: as the largest high bush blueberry growing region in the world. 410 00:21:12,840 --> 00:21:14,439 Speaker 2: I mean, this is big stuff. 411 00:21:14,840 --> 00:21:16,680 Speaker 1: Yeah, So if you want to give I guess, listen, 412 00:21:16,680 --> 00:21:19,240 Speaker 1: if you want to give your puppy a treat, I 413 00:21:19,359 --> 00:21:21,080 Speaker 1: think I guess you know what to do. Now, just 414 00:21:21,240 --> 00:21:23,800 Speaker 1: chew up some blueberries and then vomit them onto his mouth. 415 00:21:24,119 --> 00:21:26,280 Speaker 3: Yeah that we're not going to do that. 416 00:21:29,320 --> 00:21:30,120 Speaker 2: Suit yourself. 417 00:21:31,200 --> 00:21:32,680 Speaker 1: Suit yourself. It's a real treat. 418 00:21:32,760 --> 00:21:32,920 Speaker 3: Though. 419 00:21:34,160 --> 00:21:35,600 Speaker 1: Did you know about the wolves? The thing that I 420 00:21:35,680 --> 00:21:37,480 Speaker 1: love about wolves. The fact that I found out about 421 00:21:37,520 --> 00:21:39,920 Speaker 1: this is that the researcher who like the whole idea 422 00:21:39,920 --> 00:21:43,400 Speaker 1: of an alpha dog is this like theories, this idea 423 00:21:43,480 --> 00:21:45,159 Speaker 1: that we have in our culture that there's a thing 424 00:21:45,320 --> 00:21:47,480 Speaker 1: that's an alpha dog and we apply it to human 425 00:21:47,560 --> 00:21:50,040 Speaker 1: beings like that guy's an alpha human being or whatever. 426 00:21:50,760 --> 00:21:53,080 Speaker 1: Is that it's all fake. It's not real because the 427 00:21:53,160 --> 00:21:54,960 Speaker 1: guy wrote this whole book because he was watching this 428 00:21:55,080 --> 00:21:57,720 Speaker 1: group of wolves together, and he assumed one wolf, the 429 00:21:57,760 --> 00:22:00,680 Speaker 1: one wolf, was kind of doing all these things first 430 00:22:00,760 --> 00:22:02,560 Speaker 1: before the other wolves, and he was like, that's the 431 00:22:02,640 --> 00:22:06,160 Speaker 1: alpha wolf. He wrote this entire book about the alpha wolf, 432 00:22:06,520 --> 00:22:08,840 Speaker 1: and then he went back the next year and found 433 00:22:08,880 --> 00:22:12,920 Speaker 1: out that he was wrong. Oh cool, that it was 434 00:22:13,000 --> 00:22:17,120 Speaker 1: actually just a family structure. It was an extended family structure, 435 00:22:17,440 --> 00:22:22,040 Speaker 1: and that that was the eldest male in the family structure. 436 00:22:22,080 --> 00:22:23,840 Speaker 1: So it was kind of like the dad. So it 437 00:22:23,960 --> 00:22:26,359 Speaker 1: wasn't that there's like this alpha wolf idea. It was 438 00:22:26,480 --> 00:22:28,520 Speaker 1: just more of a family story. So it wasn't a society. 439 00:22:28,560 --> 00:22:31,080 Speaker 1: It wasn't a society structure. And then he came back 440 00:22:31,119 --> 00:22:33,200 Speaker 1: and wrote another book, being like I was wrong about 441 00:22:33,200 --> 00:22:35,720 Speaker 1: the alpha dog. Guys, but it was like a society 442 00:22:35,880 --> 00:22:39,000 Speaker 1: was like, go fuck yourself, we don't care. We love 443 00:22:39,119 --> 00:22:41,359 Speaker 1: this idea the alpha dog, and we're running with it. 444 00:22:41,480 --> 00:22:44,080 Speaker 1: And now all these things like Caesar Milan basis is 445 00:22:44,280 --> 00:22:47,600 Speaker 1: dog training on it and everything. It's just like it's 446 00:22:47,680 --> 00:22:50,159 Speaker 1: so insane. I love that too. Where it's just like 447 00:22:50,359 --> 00:22:52,960 Speaker 1: even if science like kind of like comes and corrects itself, 448 00:22:53,440 --> 00:22:55,480 Speaker 1: like society at large is like, wow, we don't like 449 00:22:55,520 --> 00:22:57,879 Speaker 1: the correction. We still like this original idea. 450 00:22:58,160 --> 00:23:03,480 Speaker 2: Mmmmm sounds curty. Do we have to take a quick break? 451 00:23:04,080 --> 00:23:07,760 Speaker 2: We do, Okay, Lissa, please don't leave us. We're gonna 452 00:23:07,760 --> 00:23:09,680 Speaker 2: take a quick break and we'll be right back after 453 00:23:09,800 --> 00:23:40,520 Speaker 2: these very cool messages, and we are back. We are 454 00:23:40,600 --> 00:23:45,480 Speaker 2: back with Alyssa Carson future first personal Mars. She doesn't 455 00:23:45,480 --> 00:23:47,199 Speaker 2: even have to say it. We're saying it for her 456 00:23:47,280 --> 00:23:48,680 Speaker 2: because we believe in her so much. 457 00:23:49,400 --> 00:23:52,639 Speaker 1: Are you ready for one, Alyssa? This is this is 458 00:23:52,720 --> 00:23:55,960 Speaker 1: one that's maybe we'll be close to your Louisiana Hart 459 00:23:58,760 --> 00:24:02,520 Speaker 1: Florida woman fight to keep motorcycle riding pet alligator. 460 00:24:02,960 --> 00:24:07,159 Speaker 2: Okay, all right, okay, sounds good to me. 461 00:24:07,920 --> 00:24:10,480 Speaker 1: A Florida woman was fun. We usually stay away from 462 00:24:10,560 --> 00:24:14,760 Speaker 1: Florida stories, by the way, but I like that the 463 00:24:14,840 --> 00:24:18,760 Speaker 1: photographs are alone a Florida. Oh this was in Fox 464 00:24:18,880 --> 00:24:22,720 Speaker 1: News again. It's by Fox News. I guess Fox News 465 00:24:22,760 --> 00:24:25,960 Speaker 1: wrote this story. Yeah, a Florida woman was fighting Wednesday 466 00:24:26,000 --> 00:24:29,080 Speaker 1: to keep her six foot long, clothes wearing motorcycle riding 467 00:24:29,160 --> 00:24:33,320 Speaker 1: pet alligator in her home. Thorn has a license for 468 00:24:33,359 --> 00:24:35,960 Speaker 1: the alligator for eleven years, but the gator recently grew 469 00:24:36,080 --> 00:24:39,800 Speaker 1: to six feet Wildlife official Saint Alligator that size must 470 00:24:39,840 --> 00:24:42,160 Speaker 1: have two and a half acres of land. Thorn told 471 00:24:42,200 --> 00:24:44,680 Speaker 1: The Orlando Sentinel that even if she had land available, 472 00:24:44,840 --> 00:24:48,639 Speaker 1: Rambo his name's Rambo, can't be left outdoors because of 473 00:24:48,680 --> 00:24:53,800 Speaker 1: his sensitivity to sunlight. Thorn takes Rambo to schools and 474 00:24:53,880 --> 00:24:56,640 Speaker 1: charity events to teach people about reptiles, and has trained 475 00:24:56,720 --> 00:24:57,520 Speaker 1: him not to bite. 476 00:24:58,560 --> 00:24:58,840 Speaker 2: Quote. 477 00:24:58,920 --> 00:25:01,080 Speaker 1: He loves kids, and when it's come around, he shuts 478 00:25:01,119 --> 00:25:04,000 Speaker 1: his mouth really tight so fingers can't go in his mouth. 479 00:25:04,560 --> 00:25:08,920 Speaker 1: That is the sentence right before Rambo eats a child's hand. 480 00:25:10,040 --> 00:25:14,720 Speaker 1: Rambo is a dinosaur. No matter how traded it is, 481 00:25:14,840 --> 00:25:15,880 Speaker 1: it's still a dinosaur. 482 00:25:16,240 --> 00:25:18,520 Speaker 2: But the best part is she is. 483 00:25:18,920 --> 00:25:21,040 Speaker 1: The best part is that this woman has this alligator. 484 00:25:21,200 --> 00:25:23,160 Speaker 1: She dresses it up, in closes, brings it to schools. 485 00:25:23,400 --> 00:25:26,920 Speaker 1: She doesn't have a car, so it rides in a 486 00:25:27,520 --> 00:25:30,760 Speaker 1: car seat like a children's car seat that's mounted on 487 00:25:30,840 --> 00:25:34,120 Speaker 1: the back of her motorcycle. Okay, and it's there's all. 488 00:25:34,119 --> 00:25:37,840 Speaker 1: Will put the post these photos to our Instagram page, 489 00:25:37,880 --> 00:25:40,280 Speaker 1: The Bananas Podcast on Instagram. 490 00:25:41,280 --> 00:25:43,159 Speaker 3: It is a it is. 491 00:25:43,840 --> 00:25:46,359 Speaker 1: It's an alligator in a child's car seat on the 492 00:25:46,400 --> 00:25:48,440 Speaker 1: back of the motor. It's like, I don't know how 493 00:25:48,560 --> 00:25:51,639 Speaker 1: far how much else I could say about that, but 494 00:25:51,760 --> 00:25:54,120 Speaker 1: she might actually get grandfathered in. She might be able 495 00:25:54,119 --> 00:25:57,440 Speaker 1: to keep this alligator. Have you see many alligators down 496 00:25:57,480 --> 00:25:58,960 Speaker 1: there in Baton Rouge. 497 00:26:00,200 --> 00:26:04,440 Speaker 3: Rude? Directly, there's not necessarily too many. It's so funny though, 498 00:26:04,560 --> 00:26:08,720 Speaker 3: moving from Louisiana because I now go to college in Florida, 499 00:26:09,359 --> 00:26:13,000 Speaker 3: and like, man, like there there really are like people 500 00:26:13,119 --> 00:26:15,680 Speaker 3: just all over the place like this, like it's it's 501 00:26:15,720 --> 00:26:17,639 Speaker 3: so it's so stray. 502 00:26:21,080 --> 00:26:24,160 Speaker 1: Yeah, Florida has that reputation for a reason. 503 00:26:24,560 --> 00:26:25,520 Speaker 3: Yeah for sure. 504 00:26:25,800 --> 00:26:28,399 Speaker 1: Yeah. How long have we been going to school now? 505 00:26:29,080 --> 00:26:32,600 Speaker 3: So I just finished my freshman year at Florida TIX. 506 00:26:32,840 --> 00:26:35,920 Speaker 3: So that was pretty fun. I mean, I obviously I 507 00:26:35,920 --> 00:26:37,840 Speaker 3: had to finish like blast a little bit of it 508 00:26:37,960 --> 00:26:40,440 Speaker 3: here at home with online school and all, but for 509 00:26:40,560 --> 00:26:42,879 Speaker 3: the most part it was it was a pretty good experience. 510 00:26:43,960 --> 00:26:47,240 Speaker 1: Nice. Our people are like fellow students aware that you're 511 00:26:47,359 --> 00:26:50,680 Speaker 1: like a budding astronaut or does he keep it pretty 512 00:26:50,720 --> 00:26:53,400 Speaker 1: low key and it's like, I'm just normal. I'm a normallyssa. 513 00:26:53,520 --> 00:26:55,080 Speaker 1: I'm not mars aalsus. I'm just normal. 514 00:26:55,400 --> 00:26:57,880 Speaker 3: It was pretty funny. So I never told anyone anything, 515 00:26:59,000 --> 00:27:03,040 Speaker 3: but everyone likeigured it out eventually. But it was like 516 00:27:03,400 --> 00:27:06,200 Speaker 3: I like I had already become friends with like a 517 00:27:06,240 --> 00:27:08,240 Speaker 3: good bit of people before they had figured out. So 518 00:27:08,640 --> 00:27:10,400 Speaker 3: I mean it was really cool because it was kind 519 00:27:10,440 --> 00:27:12,000 Speaker 3: of like how it was for all my high school 520 00:27:12,000 --> 00:27:14,639 Speaker 3: friends that had grown up and known me forever. You know, 521 00:27:14,800 --> 00:27:17,080 Speaker 3: they were just like, wait, so explain real quick, and 522 00:27:17,119 --> 00:27:19,520 Speaker 3: then they were like, oh, okay, moving on, and then 523 00:27:19,680 --> 00:27:23,560 Speaker 3: you know, just continue about whatever, and so you know, 524 00:27:23,640 --> 00:27:26,440 Speaker 3: it's pretty cool. And it's also kind of a good 525 00:27:26,560 --> 00:27:29,480 Speaker 3: judge as to like who's like a close friend or 526 00:27:29,560 --> 00:27:32,919 Speaker 3: not to be honest, because like my closer friends can 527 00:27:33,000 --> 00:27:36,480 Speaker 3: like talk about stuff like just as normal, but like 528 00:27:36,680 --> 00:27:38,919 Speaker 3: someone who like hardly knows me and that's all they 529 00:27:39,000 --> 00:27:41,080 Speaker 3: know about me. All they will talk about is like 530 00:27:41,160 --> 00:27:43,840 Speaker 3: space or mention like stuff that I do. And so 531 00:27:43,880 --> 00:27:48,720 Speaker 3: I'm like, okay, yeah. 532 00:27:50,000 --> 00:27:50,320 Speaker 2: Get it. 533 00:27:50,720 --> 00:27:53,520 Speaker 1: And then also like is it I just shocked that 534 00:27:53,600 --> 00:27:55,359 Speaker 1: you knew from such a young age and that you 535 00:27:55,480 --> 00:27:59,160 Speaker 1: continued to to I didn't even know what I wanted 536 00:27:59,200 --> 00:28:03,200 Speaker 1: to make dren in college until two years in. You 537 00:28:03,680 --> 00:28:06,520 Speaker 1: know what you want to do when you're forty, Yeah, 538 00:28:06,600 --> 00:28:07,520 Speaker 1: I mean obviously, like. 539 00:28:07,600 --> 00:28:10,119 Speaker 3: All of the stuff is like big long term goals, 540 00:28:10,160 --> 00:28:12,359 Speaker 3: but I mean obviously it's kind of changed and you 541 00:28:12,440 --> 00:28:14,399 Speaker 3: know along the way. You know, originally I went to 542 00:28:14,480 --> 00:28:17,359 Speaker 3: the astrophysics, but then I got more interested in something else. 543 00:28:17,359 --> 00:28:19,159 Speaker 3: So I mean it is kind of like still the 544 00:28:19,200 --> 00:28:22,400 Speaker 3: same thing, constantly evolving. It's just kind of evolving kind 545 00:28:22,400 --> 00:28:24,439 Speaker 3: of around the same generic idea. 546 00:28:25,320 --> 00:28:28,720 Speaker 2: Yeah, that's so cool, that's pretty awesome. 547 00:28:28,960 --> 00:28:31,040 Speaker 1: What's the craziest thing you've ever seen in Florida when 548 00:28:31,040 --> 00:28:31,440 Speaker 1: you were there? 549 00:28:33,240 --> 00:28:36,600 Speaker 3: Oh, that's a good question. I mean once, like I 550 00:28:36,760 --> 00:28:38,840 Speaker 3: was going into like a CBS or something and this 551 00:28:38,960 --> 00:28:41,440 Speaker 3: woman was like just doing like this weird dance around 552 00:28:41,480 --> 00:28:44,520 Speaker 3: the building, and I had no idea what she was doing. 553 00:28:45,160 --> 00:28:47,080 Speaker 3: I don't know, I just kind of looked at it. 554 00:28:47,160 --> 00:28:49,440 Speaker 3: I turned around, and I've been to a different CBN. 555 00:28:52,520 --> 00:28:56,640 Speaker 2: That sounds about right. You've made the right decision there, absolutely. Oh. 556 00:28:56,920 --> 00:28:59,720 Speaker 1: By the way, that Florida woman fights to keep motorcycle 557 00:28:59,760 --> 00:29:02,840 Speaker 1: riding pet alligator was sent in by Red Hot forty four, 558 00:29:03,240 --> 00:29:05,760 Speaker 1: So thankk you forty four Scott to give me another one. 559 00:29:06,680 --> 00:29:09,360 Speaker 2: I will give you another one. You know what I can. 560 00:29:10,040 --> 00:29:11,440 Speaker 2: I'm going to give you the choice list, so we 561 00:29:11,520 --> 00:29:14,480 Speaker 2: can do another space related one, or I can just 562 00:29:14,600 --> 00:29:17,880 Speaker 2: go bonkers Florida. Either way, I'm happy to if you're 563 00:29:17,960 --> 00:29:20,120 Speaker 2: sick of talking about it. If you're sick of talking 564 00:29:20,160 --> 00:29:21,880 Speaker 2: about it, we're not going to make you talk about it. 565 00:29:22,120 --> 00:29:24,120 Speaker 3: Now, let's hear more about Florida. I need to know 566 00:29:24,240 --> 00:29:25,520 Speaker 3: what I've gotten myself into. 567 00:29:26,440 --> 00:29:31,040 Speaker 2: Oh, you're gonna love this one because this was sent 568 00:29:31,280 --> 00:29:34,560 Speaker 2: in I'm just scrolling for the name, but this story. 569 00:29:34,960 --> 00:29:38,480 Speaker 2: Sometimes you read a lot of banana stories in a 570 00:29:38,560 --> 00:29:42,160 Speaker 2: week and they start to lose their their's zip. There's zen. 571 00:29:42,400 --> 00:29:46,480 Speaker 1: Sometimes when you host a strange news podcast, you have 572 00:29:46,560 --> 00:29:48,000 Speaker 1: to read a lot of strange news. 573 00:29:48,440 --> 00:29:51,680 Speaker 2: Yeah, everybody I know now text me strange news and 574 00:29:51,840 --> 00:29:56,920 Speaker 2: I encourage them to do. So keep it coming. Here 575 00:29:56,960 --> 00:30:00,800 Speaker 2: we go. This is from the Orlando Sentinels. So where 576 00:30:00,920 --> 00:30:02,640 Speaker 2: is Florida Tech? What city is that in? 577 00:30:03,520 --> 00:30:03,720 Speaker 1: Yeah? 578 00:30:03,840 --> 00:30:06,280 Speaker 3: So it's in Melbourne. So it's about like an hour 579 00:30:06,520 --> 00:30:09,280 Speaker 3: hour and a half like southeast of Orlando, So not 580 00:30:09,440 --> 00:30:09,800 Speaker 3: too far. 581 00:30:10,840 --> 00:30:13,400 Speaker 2: You can't get far enough away from Orlando. That should 582 00:30:13,400 --> 00:30:16,120 Speaker 2: be the slogan of Orlando, you can't get far enough away. 583 00:30:16,600 --> 00:30:21,160 Speaker 2: This was written by Bianco Ocassio and this was cent 584 00:30:21,320 --> 00:30:24,240 Speaker 2: just by two people. This was Rebecca Cel and Megan Douhon, 585 00:30:24,440 --> 00:30:28,080 Speaker 2: both through Instagram. Thank you very much for sending headline reads. 586 00:30:30,320 --> 00:30:33,760 Speaker 2: Man in bull Onesie accused of trying to burn down 587 00:30:33,960 --> 00:30:39,880 Speaker 2: X lover's house with spaghetti sauce. Man in bull Onesie 588 00:30:40,040 --> 00:30:43,040 Speaker 2: accused of trying to burn down X lover's house with 589 00:30:43,120 --> 00:30:44,000 Speaker 2: spaghetti sauce. 590 00:30:44,320 --> 00:30:47,920 Speaker 1: Oh boy, tell me how he tried. Great, he tried 591 00:30:47,960 --> 00:30:48,400 Speaker 1: to do that. 592 00:30:49,480 --> 00:30:51,480 Speaker 2: A man who tried to burn down his ex boyfriend's 593 00:30:51,520 --> 00:30:54,080 Speaker 2: house with a pot of boiling spaghetti sauce was arrested 594 00:30:54,200 --> 00:30:56,760 Speaker 2: along with an accomplice. You never want to make spaghetti 595 00:30:56,840 --> 00:31:01,040 Speaker 2: by yourself. It's fun with a friend DeLand. Last week, 596 00:31:01,120 --> 00:31:06,040 Speaker 2: according to Valucia County Sheriff's Office, Derek we won't say 597 00:31:06,080 --> 00:31:08,960 Speaker 2: his last name, thirty six had an intimate relationship with 598 00:31:09,040 --> 00:31:13,400 Speaker 2: the fifty year old homeowner in Evergreen Terrace. So this 599 00:31:13,520 --> 00:31:17,320 Speaker 2: guy named John Sylvia broke into the victim's house, took 600 00:31:17,360 --> 00:31:20,520 Speaker 2: a flat screen TV, a vacuum, an air conditioning unit, 601 00:31:20,600 --> 00:31:24,840 Speaker 2: and a heater, and the victim, who was at work, 602 00:31:24,880 --> 00:31:27,240 Speaker 2: called authorities after getting an alert on his phone from 603 00:31:27,280 --> 00:31:29,160 Speaker 2: his home security camera so he sees this guy and 604 00:31:29,200 --> 00:31:32,280 Speaker 2: there's movement inside his home. He calls the cops. U 605 00:31:33,680 --> 00:31:37,920 Speaker 2: but the cameras really smart had been covered with a towel. 606 00:31:38,240 --> 00:31:43,120 Speaker 2: I mean, guys, that's planning ahead. When the deputies arrived 607 00:31:43,160 --> 00:31:47,160 Speaker 2: on the scene at seven am, great detail. They stopped 608 00:31:47,720 --> 00:31:50,000 Speaker 2: Irving who and Sylvia, who were trying to flee the 609 00:31:50,080 --> 00:31:53,040 Speaker 2: scene in a red suv. Irving, who was wearing a 610 00:31:53,160 --> 00:31:56,400 Speaker 2: Onesie bull costume with a tail and bullnose on its hood, 611 00:31:57,240 --> 00:32:00,360 Speaker 2: was retrieving some clothes from the residence. He went back 612 00:32:00,400 --> 00:32:03,320 Speaker 2: in and grabbed some clothes, but deputy said there were 613 00:32:03,400 --> 00:32:07,160 Speaker 2: no clothes in the car. Officials went inside the victim's 614 00:32:07,200 --> 00:32:10,240 Speaker 2: home and smelled something burning. The report says. The deputy 615 00:32:10,360 --> 00:32:12,760 Speaker 2: checked the stove and saw spaghetti sauce scorching in a 616 00:32:13,000 --> 00:32:16,120 Speaker 2: large pot. A washcloth resting on the side burner had 617 00:32:16,160 --> 00:32:19,400 Speaker 2: already caught fire. In the passenger seat of the car, 618 00:32:19,560 --> 00:32:23,480 Speaker 2: deputies found an empty jar of ragu sauce, which was 619 00:32:23,560 --> 00:32:27,320 Speaker 2: retrieved from the victim's kitchen cabinet. According to the FI, David. 620 00:32:27,560 --> 00:32:32,080 Speaker 1: The timeout, so he broke in, put ragusauce into a pot, 621 00:32:32,240 --> 00:32:35,840 Speaker 1: turns it up, and then he was like my my 622 00:32:36,400 --> 00:32:42,080 Speaker 1: booby trap is set. Yes, this will spontaneously combust and 623 00:32:42,320 --> 00:32:45,400 Speaker 1: burn this house down. Yeah, it ran out of there. 624 00:32:46,120 --> 00:32:48,320 Speaker 2: Yeah, you know at seven am when you go, how 625 00:32:48,320 --> 00:32:50,160 Speaker 2: am I going to make this look like an accident 626 00:32:50,240 --> 00:32:52,400 Speaker 2: with this guy that's already at work. You know, he's 627 00:32:52,520 --> 00:32:56,080 Speaker 2: known for eating huge dishes of lasagna and zed in 628 00:32:56,120 --> 00:32:56,920 Speaker 2: the morning. 629 00:32:58,960 --> 00:33:02,040 Speaker 1: Six fifty or leave it for work, boil it up, 630 00:33:02,280 --> 00:33:04,000 Speaker 1: just a hot play to spaghetti. 631 00:33:04,800 --> 00:33:07,640 Speaker 2: Yeah, oh man, he told us. So this guy says 632 00:33:07,680 --> 00:33:10,200 Speaker 2: he was a victim. The victim said he knew Irving. 633 00:33:10,320 --> 00:33:13,520 Speaker 2: They used to date four months ago, so maybe nasty breakup. 634 00:33:13,640 --> 00:33:16,280 Speaker 2: We don't know all the details of this clearly bizarre 635 00:33:16,360 --> 00:33:21,240 Speaker 2: love triangle, a very Florida love triangle. He and this 636 00:33:21,360 --> 00:33:24,160 Speaker 2: guy says he didn't know if the ex was burglarizing 637 00:33:24,240 --> 00:33:27,400 Speaker 2: the home or giving him a ride home. So basically, 638 00:33:27,800 --> 00:33:30,040 Speaker 2: this guy's like, hey, I'll take you home. He didn't 639 00:33:30,040 --> 00:33:32,600 Speaker 2: realize it was being robbed. There's a lot of question 640 00:33:32,760 --> 00:33:35,040 Speaker 2: marks in this story, but one thing for sure is 641 00:33:35,760 --> 00:33:38,320 Speaker 2: if you're gonna Oh and he got arrested for uh 642 00:33:38,760 --> 00:33:44,040 Speaker 2: in charge with arson, burglary and grand theft and driving 643 00:33:44,120 --> 00:33:47,880 Speaker 2: with a suspended license. So there was really no besides 644 00:33:47,920 --> 00:33:51,240 Speaker 2: the towel over and bringing Ragu with him, there wasn't 645 00:33:51,280 --> 00:33:57,400 Speaker 2: a whole lot of planning for this. Uh. I love 646 00:33:58,600 --> 00:34:01,640 Speaker 2: poorly framed Arson jobs. This might be as long as 647 00:34:01,720 --> 00:34:05,920 Speaker 2: nobody gets hurt and nobody dies, send us the weirdest, 648 00:34:06,360 --> 00:34:07,960 Speaker 2: poorly planned Arsen story. 649 00:34:08,160 --> 00:34:11,880 Speaker 1: She can listen. You got any You got any stories 650 00:34:11,920 --> 00:34:17,840 Speaker 1: that involved pasta or taking revenge your choice, revenge or pasta. 651 00:34:20,320 --> 00:34:24,719 Speaker 3: Well, that's an interesting category to fall story into. I 652 00:34:24,880 --> 00:34:28,040 Speaker 3: think think I might have something like in the Arson category. 653 00:34:28,239 --> 00:34:32,000 Speaker 3: Like I remember, oh, I remember, like I was, I 654 00:34:32,200 --> 00:34:34,520 Speaker 3: was just chilling in my dorm one night and then 655 00:34:35,000 --> 00:34:37,680 Speaker 3: my roommate is freaking out because apparently this kid who 656 00:34:37,760 --> 00:34:40,480 Speaker 3: she went to high school with, he didn't go to 657 00:34:40,560 --> 00:34:42,560 Speaker 3: like our university. I don't know where he was at, 658 00:34:42,600 --> 00:34:45,760 Speaker 3: but apparently he like started a fire in the basement 659 00:34:45,840 --> 00:34:51,000 Speaker 3: of a dorm with like five tirks, and just like anyway, 660 00:34:51,200 --> 00:34:55,440 Speaker 3: this huge like explosion or something happened, everyone had to vacate, 661 00:34:56,160 --> 00:34:58,879 Speaker 3: and she was like she was just so so She's 662 00:34:58,960 --> 00:35:01,960 Speaker 3: like I knew that kid would do something someday. 663 00:35:01,680 --> 00:35:04,759 Speaker 2: And I would like you can smell them out. 664 00:35:05,480 --> 00:35:09,440 Speaker 1: Here's my question, uh In bat Rouge, are people lighting 665 00:35:09,480 --> 00:35:14,960 Speaker 1: off fireworks every single night, all night long? Because in 666 00:35:15,239 --> 00:35:19,280 Speaker 1: LA and in New York, it's constant everywhere across the country. 667 00:35:19,280 --> 00:35:21,719 Speaker 1: I've just heard people just constantly lighting off fireworks for 668 00:35:21,800 --> 00:35:22,960 Speaker 1: like three months now. 669 00:35:23,200 --> 00:35:26,239 Speaker 3: What I haven't heard like a single firework. 670 00:35:27,080 --> 00:35:30,120 Speaker 1: Guys, goat if you need a break, go to baton Rouge. 671 00:35:31,480 --> 00:35:34,359 Speaker 3: Behind the trend, we don't really like understand what's going 672 00:35:34,400 --> 00:35:37,239 Speaker 3: on in the world. We're just kind of we'll maybe 673 00:35:37,320 --> 00:35:40,759 Speaker 3: catch up maybe another month or so. People would be like, oh, wait, 674 00:35:41,080 --> 00:35:43,440 Speaker 3: we're supposed to be doing fireworks or something. 675 00:35:44,440 --> 00:35:46,600 Speaker 1: It is very confusing. A lot of people have a 676 00:35:46,640 --> 00:35:48,000 Speaker 1: lot of theories about it. 677 00:35:48,160 --> 00:35:51,480 Speaker 2: Interesting, Yeah, did you play with fire when you were 678 00:35:51,480 --> 00:35:54,400 Speaker 2: a kid? You play with like play with matches and 679 00:35:54,840 --> 00:35:57,560 Speaker 2: throw them in light sparklers, And of. 680 00:35:57,680 --> 00:36:01,480 Speaker 1: Course, of course I think every every kid loves fire. 681 00:36:01,840 --> 00:36:06,440 Speaker 2: It's a rite of passage. I found out, go ahead. 682 00:36:06,840 --> 00:36:11,960 Speaker 2: I found out that nail polish remover was extremely flammable. 683 00:36:12,080 --> 00:36:16,040 Speaker 2: It's crazy flammable. And so I have an older sister 684 00:36:16,200 --> 00:36:18,360 Speaker 2: and this I was probably I don't know, about twelve, 685 00:36:19,120 --> 00:36:21,120 Speaker 2: and so I decided I was going to build a 686 00:36:21,120 --> 00:36:24,319 Speaker 2: hot air balloon in the backyard and I filled up 687 00:36:24,400 --> 00:36:29,040 Speaker 2: a plastic cup and stitched using just thread and needle, 688 00:36:29,719 --> 00:36:32,839 Speaker 2: basically like a plastic bag over a cup, and then 689 00:36:33,120 --> 00:36:37,719 Speaker 2: poured in the acidtne or whatever. It is, lighted on 690 00:36:37,840 --> 00:36:40,920 Speaker 2: fire and it fills, it starts to film, and so 691 00:36:41,040 --> 00:36:42,800 Speaker 2: I was holding it in my hand and I like, 692 00:36:43,000 --> 00:36:45,680 Speaker 2: let go and it was like hovering at about face 693 00:36:45,760 --> 00:36:49,480 Speaker 2: height for I don't know two seconds. Then the plastic, 694 00:36:49,520 --> 00:36:52,080 Speaker 2: the strings and the cup all catch fire. It tilts 695 00:36:52,440 --> 00:36:55,399 Speaker 2: and then pours burning nail polisher mover onto my feet 696 00:36:55,719 --> 00:36:58,120 Speaker 2: and I started running around, but because it was coating them, 697 00:36:58,160 --> 00:37:01,520 Speaker 2: I wasn't getting burned. Except when it finished. It's one 698 00:37:01,560 --> 00:37:03,480 Speaker 2: of those things. All my leg hair was gone. I 699 00:37:03,560 --> 00:37:05,319 Speaker 2: didn't have a lot anyways. I was twelve years old. 700 00:37:05,520 --> 00:37:08,520 Speaker 2: But basically I lit a like a floating face height 701 00:37:08,640 --> 00:37:11,759 Speaker 2: Molotov cocktail and then just watches it poured. So that's 702 00:37:11,800 --> 00:37:14,760 Speaker 2: science to me, Alyssa, You're way ahead of the curve. 703 00:37:16,120 --> 00:37:18,799 Speaker 2: For me, it was doing the dumbest thing imaginable. 704 00:37:20,200 --> 00:37:23,400 Speaker 1: Yeah, when I finished, I think it was ooh, I 705 00:37:23,440 --> 00:37:26,799 Speaker 1: don't know. I think it was calculus. And I came home. 706 00:37:26,880 --> 00:37:29,080 Speaker 1: It was like summer break, and I was like I 707 00:37:29,200 --> 00:37:31,279 Speaker 1: never have to do calculus again. So I put the 708 00:37:31,360 --> 00:37:36,399 Speaker 1: calculus book inside like a coke twelve pack cardboard box 709 00:37:36,480 --> 00:37:39,360 Speaker 1: and poured gasoline all over it, and then didn't know 710 00:37:39,520 --> 00:37:42,680 Speaker 1: that like the fumes of gasoline is what ignites, not 711 00:37:42,760 --> 00:37:46,239 Speaker 1: actually the liquid cool like struck a match right near it, 712 00:37:46,400 --> 00:37:49,360 Speaker 1: and the whole thing just blew up. It was a 713 00:37:49,600 --> 00:37:50,520 Speaker 1: very loud boom. 714 00:37:51,000 --> 00:37:53,840 Speaker 2: Take that Math, Screw you math, Math. I did it 715 00:37:54,360 --> 00:37:55,120 Speaker 2: not this summer? 716 00:37:56,520 --> 00:38:00,279 Speaker 1: Are you ready for another one? Alyssa, I'm ready all right. 717 00:38:00,360 --> 00:38:04,200 Speaker 1: Missouri teens steal what they think is cocaine, end up 718 00:38:04,280 --> 00:38:10,400 Speaker 1: snorting their grandfather's ashes. Oh yeah, this is oh. Was 719 00:38:10,520 --> 00:38:13,440 Speaker 1: sent in by Sarah alegro Thank you, Sarah. 720 00:38:14,320 --> 00:38:14,440 Speaker 3: Uh. 721 00:38:15,200 --> 00:38:18,320 Speaker 1: This was on up Rocks, written by Ryan Perry. Thanks 722 00:38:18,320 --> 00:38:19,480 Speaker 1: for y Ry. 723 00:38:19,520 --> 00:38:20,680 Speaker 2: You're killing it once again. 724 00:38:21,239 --> 00:38:24,200 Speaker 1: Here's a fun one. A trio of teenagers rummaged through 725 00:38:24,280 --> 00:38:27,120 Speaker 1: a Missouri home when they discovered through Facebook postings that 726 00:38:27,200 --> 00:38:30,479 Speaker 1: its owner, Deborah Matthews bet Deborah Matthews, was out of town. 727 00:38:30,920 --> 00:38:33,160 Speaker 1: They came away with nearly three thousand dollars in cash 728 00:38:33,200 --> 00:38:39,560 Speaker 1: in valuables and they thought a fancy box filled with cocaine. Yeah, 729 00:38:40,520 --> 00:38:42,200 Speaker 1: and then here. 730 00:38:43,960 --> 00:38:47,080 Speaker 2: Just a million dollar box of cocaine just sitting in there, 731 00:38:47,400 --> 00:38:50,080 Speaker 2: just th that's the bends of cocaine. 732 00:38:50,719 --> 00:38:53,239 Speaker 1: I mean, like I have my mom's ashes. I have 733 00:38:53,400 --> 00:38:56,400 Speaker 1: half of my mom's ashes. It is a bag that 734 00:38:56,640 --> 00:39:00,800 Speaker 1: is almost the size of my head. So theynd we 735 00:39:00,920 --> 00:39:05,400 Speaker 1: had like two million dollars worth of was cocaine in 736 00:39:05,520 --> 00:39:08,760 Speaker 1: a beautiful box. They thought they were at Woody Allen's 737 00:39:08,800 --> 00:39:13,400 Speaker 1: house in nineteen seventy three in there and so here's 738 00:39:13,480 --> 00:39:16,920 Speaker 1: the best part. It did snort it, uh, and then 739 00:39:16,920 --> 00:39:19,040 Speaker 1: they found out it was ashes. They were very upset. 740 00:39:20,160 --> 00:39:23,160 Speaker 1: But she also says she believes the miners are two 741 00:39:23,400 --> 00:39:28,080 Speaker 1: of her father's grandchildren. Oh except because of the miners, 742 00:39:28,120 --> 00:39:31,200 Speaker 1: I mean they were his grandsons. So they this woman, 743 00:39:32,120 --> 00:39:36,760 Speaker 1: her grand her sons, no, I guess her like cousin 744 00:39:36,880 --> 00:39:39,560 Speaker 1: her like nieces or nephews are the ones who robbed 745 00:39:39,600 --> 00:39:44,400 Speaker 1: her and they snorted Granddad's ashes. Boom goes back to 746 00:39:44,520 --> 00:39:47,759 Speaker 1: my thing from a previous episode, the humans having a 747 00:39:47,840 --> 00:39:52,160 Speaker 1: subconscious desire to eat the ashes of their dead relatives. 748 00:39:52,440 --> 00:39:55,400 Speaker 1: But you know, I'm just going off of my comfort 749 00:39:56,440 --> 00:39:57,720 Speaker 1: oh comforting thought. 750 00:39:58,200 --> 00:40:01,719 Speaker 2: Teenagers A All my friends used to steal stuff in 751 00:40:01,840 --> 00:40:05,040 Speaker 2: high school it's crazy, like the boldness, and I think 752 00:40:05,160 --> 00:40:06,960 Speaker 2: that the kids that are like, hey, if you're not eighteen, 753 00:40:07,000 --> 00:40:08,600 Speaker 2: you can't really go to jail on stuff, but you 754 00:40:08,680 --> 00:40:12,279 Speaker 2: can get you know, attacked by dog or shot or 755 00:40:12,400 --> 00:40:15,080 Speaker 2: arrested and thrown into juvie. Like there are things that 756 00:40:15,160 --> 00:40:17,840 Speaker 2: can go very wrong if you're robbing a house. We 757 00:40:17,960 --> 00:40:21,040 Speaker 2: used to play flashlight tag, like just I don't know 758 00:40:21,120 --> 00:40:23,200 Speaker 2: what people call it different regions. We would play tag 759 00:40:23,239 --> 00:40:26,160 Speaker 2: at night without flashlights and you would hide and there'd 760 00:40:26,160 --> 00:40:29,560 Speaker 2: be hundreds of us. I mean our neighborhood. I'd say 761 00:40:29,640 --> 00:40:32,160 Speaker 2: on a given night, there'd be about thirty or forty 762 00:40:32,239 --> 00:40:35,880 Speaker 2: people playing the most intense rounds of flashlight tag. And 763 00:40:36,000 --> 00:40:38,680 Speaker 2: at the end of the street they started building new development, 764 00:40:39,120 --> 00:40:43,000 Speaker 2: so we would go into these unfinished homes and hide 765 00:40:43,040 --> 00:40:46,640 Speaker 2: in them. Sounds cool, except it's pitch black. And then 766 00:40:46,719 --> 00:40:48,800 Speaker 2: in some rooms, like where a bathtubs supposed to go 767 00:40:48,960 --> 00:40:51,759 Speaker 2: or a hot tub, you there's just a hole in 768 00:40:51,840 --> 00:40:54,520 Speaker 2: the floor. So I remember running upstairs that had no 769 00:40:54,680 --> 00:40:57,160 Speaker 2: railings in an unfinished house. You know, it's like there's 770 00:40:57,200 --> 00:40:59,799 Speaker 2: not even drywall, it's just completely the framed out house. 771 00:41:00,120 --> 00:41:03,239 Speaker 2: And somebody chasing me and then the feeling of free 772 00:41:03,360 --> 00:41:06,520 Speaker 2: fall where I fell from the top floor to the 773 00:41:06,640 --> 00:41:09,160 Speaker 2: basement hit the mud, but I had fallen through three 774 00:41:09,280 --> 00:41:12,040 Speaker 2: floors because I just went right through where a bathtub 775 00:41:12,200 --> 00:41:14,680 Speaker 2: was supposed to go and just fell in the darkness 776 00:41:14,719 --> 00:41:17,200 Speaker 2: and landed flat, knocked the wind out of me. And 777 00:41:17,400 --> 00:41:20,080 Speaker 2: I remember, like we were so young and riled up, 778 00:41:20,080 --> 00:41:21,879 Speaker 2: and your drones pumping and you want to look cool 779 00:41:21,920 --> 00:41:23,960 Speaker 2: and all that stuff that I just didn't tell anybody. 780 00:41:24,040 --> 00:41:25,719 Speaker 2: I just kind of did that voice where you're like, 781 00:41:25,960 --> 00:41:29,920 Speaker 2: oh God, and I just gurgled my way out of 782 00:41:30,000 --> 00:41:35,239 Speaker 2: a dark, unfinished basement because it felt exciting, and that's 783 00:41:35,280 --> 00:41:38,399 Speaker 2: what bored suburban kids do. Oh yeah. 784 00:41:38,880 --> 00:41:40,640 Speaker 1: Do you do you have anybody in your uh in 785 00:41:40,719 --> 00:41:42,240 Speaker 1: your neighborhood growing up Alissa? 786 00:41:44,120 --> 00:41:48,080 Speaker 3: I mean kind of not really too much. So I 787 00:41:48,160 --> 00:41:50,719 Speaker 3: mean like when I was like super super young, we 788 00:41:50,840 --> 00:41:54,440 Speaker 3: lived like right outside of Baton Rouge, and then when 789 00:41:54,480 --> 00:41:56,600 Speaker 3: I started school we kind of moved. But when we 790 00:41:56,719 --> 00:41:58,719 Speaker 3: had moved like more into the city of m Ridge, 791 00:41:58,760 --> 00:42:02,320 Speaker 3: we weren't we were really intending on like moving fully 792 00:42:02,520 --> 00:42:04,560 Speaker 3: into Baton Rouge. We had only gotten like just a 793 00:42:04,680 --> 00:42:08,279 Speaker 3: condo because the idea was that during the school week 794 00:42:08,320 --> 00:42:10,080 Speaker 3: we would just stay at the condo which was really 795 00:42:10,160 --> 00:42:13,160 Speaker 3: close to school, and on the weekends we'd still go 796 00:42:13,320 --> 00:42:15,920 Speaker 3: back outside the city and stuff. But then, you know, 797 00:42:16,239 --> 00:42:19,000 Speaker 3: being a kid, wanted to play soccer, hang out with friends, 798 00:42:19,080 --> 00:42:21,160 Speaker 3: do this, do that, which was all in baton Rouge. 799 00:42:21,200 --> 00:42:23,919 Speaker 3: So we all kind of end up moving into bat Rouge. 800 00:42:23,960 --> 00:42:25,680 Speaker 3: But it was just kind of a kind of a 801 00:42:25,719 --> 00:42:27,560 Speaker 3: whole lot of shifts and stuff growing up. 802 00:42:28,719 --> 00:42:32,520 Speaker 1: Yeah, like you have to kind of like stay out 803 00:42:32,600 --> 00:42:36,680 Speaker 1: of trouble, right to become an astronaut. You can't get arrested, well, 804 00:42:36,840 --> 00:42:38,400 Speaker 1: I mean that would be preferred. 805 00:42:42,480 --> 00:42:45,359 Speaker 2: I like that you're taking in one of your TED talks, 806 00:42:45,400 --> 00:42:49,239 Speaker 2: you talk about, you know, shifting the paradigm and approaching 807 00:42:49,360 --> 00:42:51,560 Speaker 2: this in a different way and maybe blazing a new 808 00:42:51,640 --> 00:42:54,200 Speaker 2: path towards becoming an astronaut. I love that. I think 809 00:42:54,239 --> 00:42:57,239 Speaker 2: that's so cool. I've always felt that there should be 810 00:42:59,040 --> 00:43:01,359 Speaker 2: like what you're doing is you're excelling, and you're picking 811 00:43:01,440 --> 00:43:03,359 Speaker 2: up all these skills, and you're also bringing other life 812 00:43:03,400 --> 00:43:07,799 Speaker 2: skills that are maybe non traditional to the typical astronaut path. 813 00:43:08,360 --> 00:43:12,000 Speaker 2: I always thought that there should be like the United States, 814 00:43:12,160 --> 00:43:15,120 Speaker 2: when they send up a mission, they have the best 815 00:43:15,200 --> 00:43:17,600 Speaker 2: of the best, and then they just have one average Joe. 816 00:43:17,880 --> 00:43:20,360 Speaker 2: They just have somebody from somewhere to see the effects 817 00:43:20,400 --> 00:43:23,520 Speaker 2: of space on that person and the psychological repro It's 818 00:43:23,520 --> 00:43:25,920 Speaker 2: the same way I feel about the Olympics, that the 819 00:43:26,000 --> 00:43:28,520 Speaker 2: host country and every event should send one just average 820 00:43:28,520 --> 00:43:30,840 Speaker 2: citizen to compete in all the events versus so we 821 00:43:30,920 --> 00:43:33,120 Speaker 2: can see at home, like, oh, that's how I would be. 822 00:43:33,680 --> 00:43:36,239 Speaker 2: I would get dead last by five seconds in the 823 00:43:36,400 --> 00:43:40,880 Speaker 2: one hundred meter dash. But do you feel like it 824 00:43:41,120 --> 00:43:43,279 Speaker 2: is an advantage that you're coming at it from a 825 00:43:43,480 --> 00:43:46,359 Speaker 2: totally different trajectory. 826 00:43:46,960 --> 00:43:49,560 Speaker 3: Yeah, you know, I mean, it's definitely super interesting because 827 00:43:50,719 --> 00:43:53,600 Speaker 3: kind of the typical path of astronauts kind of up 828 00:43:53,640 --> 00:43:56,279 Speaker 3: to this point has just been you know, some people 829 00:43:56,360 --> 00:43:59,680 Speaker 3: who have been successful in their careers, a selection process 830 00:43:59,760 --> 00:44:02,200 Speaker 3: roll around. Either they see it or someone sends it. 831 00:44:02,280 --> 00:44:04,920 Speaker 3: They're like, oh, hey, I happen to meet these requirements. 832 00:44:05,320 --> 00:44:07,960 Speaker 3: Well I'm going to happen to apply, and then they 833 00:44:08,000 --> 00:44:10,440 Speaker 3: get selected and they're like, cool, I'm an astronaut now. 834 00:44:11,280 --> 00:44:14,279 Speaker 3: So it's definitely not you know, and some of them, 835 00:44:14,320 --> 00:44:16,120 Speaker 3: you know, have interests when they're young, but they just 836 00:44:16,200 --> 00:44:17,880 Speaker 3: kind of lose and forget about and then you know, 837 00:44:18,040 --> 00:44:20,360 Speaker 3: end up applying later on in life, but kind of 838 00:44:20,440 --> 00:44:21,960 Speaker 3: just like changing an idea of like what if we 839 00:44:22,120 --> 00:44:24,320 Speaker 3: had that idea early in life and actually stuck with 840 00:44:24,440 --> 00:44:28,360 Speaker 3: it and work towards that objective. So it's definitely, you know, 841 00:44:28,640 --> 00:44:31,000 Speaker 3: just a different mindset of it. And it's also sure 842 00:44:31,200 --> 00:44:33,200 Speaker 3: you know, can be applied to other jobs as well, 843 00:44:33,280 --> 00:44:36,239 Speaker 3: because you know, obviously it's totally normal to not have 844 00:44:36,320 --> 00:44:37,640 Speaker 3: it figured out what you want to do, but I 845 00:44:37,719 --> 00:44:40,400 Speaker 3: mean some people do you know, some people really have 846 00:44:41,080 --> 00:44:43,520 Speaker 3: you know, something that they really enjoy and or even 847 00:44:43,640 --> 00:44:45,560 Speaker 3: you know, if it changes along the way, it's never 848 00:44:45,680 --> 00:44:48,520 Speaker 3: hurts to actually learn and pursue or start seeing what 849 00:44:48,640 --> 00:44:50,680 Speaker 3: you can actually get involved with with something that you're 850 00:44:50,760 --> 00:44:51,239 Speaker 3: interested in. 851 00:44:52,320 --> 00:44:54,720 Speaker 1: Also, I think that you're kind of creating a new model, 852 00:44:54,960 --> 00:44:58,319 Speaker 1: especially from Mars travel, because there is you know, there's 853 00:44:59,200 --> 00:45:01,759 Speaker 1: a good chance that a Mars trip could be a 854 00:45:01,840 --> 00:45:04,560 Speaker 1: one way trip, right, yeah, you know, I mean a. 855 00:45:04,600 --> 00:45:07,400 Speaker 3: Lot of people have you know, well, different companies and 856 00:45:07,440 --> 00:45:10,160 Speaker 3: different uh people have kind of had different ideas for 857 00:45:10,239 --> 00:45:12,759 Speaker 3: the mission to Mars. You know, some ideas happen to 858 00:45:12,840 --> 00:45:14,880 Speaker 3: have a one way mission, some you know include a 859 00:45:14,960 --> 00:45:18,120 Speaker 3: return you know, I do think that the first missions 860 00:45:18,200 --> 00:45:21,400 Speaker 3: are going to have like a return trip, just you know, 861 00:45:21,520 --> 00:45:23,400 Speaker 3: for many reasons. First of all, I don't necessarily think 862 00:45:23,400 --> 00:45:25,239 Speaker 3: that we're at the point of just like, you know, 863 00:45:25,480 --> 00:45:27,759 Speaker 3: first hurrah, let's just send them and never bring them 864 00:45:27,800 --> 00:45:30,640 Speaker 3: back and just kind of hope for the best. I 865 00:45:30,680 --> 00:45:33,240 Speaker 3: don't necessarily think that's kind of like how this space 866 00:45:33,320 --> 00:45:36,040 Speaker 3: program works. You know, we want, you know, we want 867 00:45:36,080 --> 00:45:38,799 Speaker 3: to kind of build up to that, and then at 868 00:45:38,800 --> 00:45:40,520 Speaker 3: the same time, you know, the goal of the mission 869 00:45:40,560 --> 00:45:43,360 Speaker 3: to Mars is to have research done in all of this, 870 00:45:43,480 --> 00:45:45,799 Speaker 3: and we can only bring so much scientific equipment with us, 871 00:45:45,880 --> 00:45:47,759 Speaker 3: so you know, I think in we're going to want 872 00:45:47,760 --> 00:45:50,879 Speaker 3: to bring stuff back to continue to figure things out 873 00:45:51,040 --> 00:45:53,440 Speaker 3: and do research and stuff. So, you know, just kind 874 00:45:53,480 --> 00:45:56,839 Speaker 3: of those two you know, first layer things. I think 875 00:45:56,880 --> 00:45:59,400 Speaker 3: that they're definitely going to be a return for for 876 00:45:59,680 --> 00:46:02,319 Speaker 3: you know, for several missions, but maybe we can work out, 877 00:46:02,680 --> 00:46:05,399 Speaker 3: especially as technology develops, where like the in between time 878 00:46:05,520 --> 00:46:09,080 Speaker 3: is quicker. I think that gets quicker, then you know 879 00:46:09,280 --> 00:46:10,440 Speaker 3: it'll be no problem. 880 00:46:11,680 --> 00:46:14,520 Speaker 2: Well, I volunteers the Bozo guinea pig. By the way, 881 00:46:14,600 --> 00:46:17,080 Speaker 2: in fifteen years, I probably won't have much going on 882 00:46:17,719 --> 00:46:21,200 Speaker 2: you know, if I'm willing to go, how long does 883 00:46:21,280 --> 00:46:23,399 Speaker 2: it take to get tomorrow's six months? Nine months? Something 884 00:46:23,440 --> 00:46:23,600 Speaker 2: like that? 885 00:46:24,200 --> 00:46:30,640 Speaker 1: Yeah, I got time, I'm in Give me another story 886 00:46:30,680 --> 00:46:31,680 Speaker 1: scatty okay. 887 00:46:32,920 --> 00:46:35,960 Speaker 2: This one is from Irish Times dot com. I believe 888 00:46:36,120 --> 00:46:40,440 Speaker 2: IrishCentral dot com written by Shane O'Brien at sham Moob 889 00:46:40,880 --> 00:46:41,560 Speaker 2: ninety six. 890 00:46:42,120 --> 00:46:44,440 Speaker 1: Shane O'Brien classic Irish name. 891 00:46:44,520 --> 00:46:50,520 Speaker 2: Yep Scottish man find for calling irishman a leprechaun. So 892 00:46:51,640 --> 00:46:54,840 Speaker 2: Terry Myers forty one appeared in the Aberdeen Sheriff court 893 00:46:55,200 --> 00:46:57,920 Speaker 2: room after he sent his ex partner an email in 894 00:46:58,000 --> 00:47:00,440 Speaker 2: which he made reference to the woman's new partner as 895 00:47:00,480 --> 00:47:05,680 Speaker 2: being a leprechaun. Uh he is Irish, so the public 896 00:47:05,760 --> 00:47:10,160 Speaker 2: prosecutor has the ability to impose fiscal fines. She said 897 00:47:10,239 --> 00:47:14,320 Speaker 2: that Myers made quote various threats to assault to the 898 00:47:14,360 --> 00:47:17,719 Speaker 2: woman's new partner in the email. Love additionally said that 899 00:47:17,840 --> 00:47:21,080 Speaker 2: Myers referred to her new partner as a leprechaun in 900 00:47:21,200 --> 00:47:25,600 Speaker 2: the email. She said the term was found offensive since 901 00:47:25,600 --> 00:47:29,080 Speaker 2: he was born in Dublin. Myers pled guilty to sending 902 00:47:29,160 --> 00:47:32,160 Speaker 2: the message that was grossly offensive, in decent and menacing. 903 00:47:32,239 --> 00:47:35,719 Speaker 2: According to The Evening Express, and that he used offensive 904 00:47:35,800 --> 00:47:39,120 Speaker 2: derogatory language to refer to the woman's new partner. The 905 00:47:39,239 --> 00:47:42,560 Speaker 2: court found that Myers had conviitted a racially aggravated offense, 906 00:47:42,800 --> 00:47:46,720 Speaker 2: so calling an Irishman a leprechaun you can get charged 907 00:47:46,800 --> 00:47:50,280 Speaker 2: as a racially aggravated offense. He was fined the equivalent 908 00:47:50,360 --> 00:47:54,640 Speaker 2: of three hundred and fifty American dollars. But in a 909 00:47:54,719 --> 00:47:57,879 Speaker 2: similar case in two thousand and eight, a Liverpool court 910 00:47:58,000 --> 00:48:02,520 Speaker 2: found that calling somebody a leprechaun was not a racist insult, 911 00:48:03,640 --> 00:48:05,800 Speaker 2: and in that case, an eighteen year old called a 912 00:48:05,880 --> 00:48:10,600 Speaker 2: woman named Eleanor Vince a fucking leprechaun and was not 913 00:48:10,920 --> 00:48:13,120 Speaker 2: charged with racially aggravated harassment. 914 00:48:13,440 --> 00:48:17,160 Speaker 1: It's interesting that it's it's like, it's it's not it's 915 00:48:17,280 --> 00:48:20,239 Speaker 1: it's zen it's xenophobic, if anything, right, because it's just 916 00:48:20,320 --> 00:48:25,560 Speaker 1: a country. It's not like a Scottish person isn't. Okay, 917 00:48:25,640 --> 00:48:27,800 Speaker 1: Well we're gonna get into a whole. 918 00:48:27,600 --> 00:48:32,600 Speaker 2: Big yeah, that's a deeper conversation. It's a but in 919 00:48:32,680 --> 00:48:35,920 Speaker 2: an email, calling an Irishman, an actual born in Dublin 920 00:48:35,960 --> 00:48:38,600 Speaker 2: Irishman a leprechaun could land you in jail. I'm fine. 921 00:48:38,640 --> 00:48:40,080 Speaker 2: I got one hundred and fifty bucks. 922 00:48:40,520 --> 00:48:42,000 Speaker 1: I got to delete some emails. 923 00:48:42,040 --> 00:48:46,520 Speaker 2: Guys. That's been Kurt's nickname for me for years. 924 00:48:46,960 --> 00:48:47,960 Speaker 1: One of my go tos. 925 00:48:48,000 --> 00:48:52,879 Speaker 2: Oh, no, that seems fun. That seems like a fun Yeah, 926 00:48:53,120 --> 00:48:56,080 Speaker 2: and it's quote petty and pathetic was what the lawyers 927 00:48:56,160 --> 00:48:57,320 Speaker 2: were describing the attack. 928 00:48:57,400 --> 00:49:00,160 Speaker 1: I'm just surprised and that you can get fine for 929 00:49:00,239 --> 00:49:02,040 Speaker 1: an email. I had no idea. 930 00:49:03,120 --> 00:49:05,520 Speaker 2: Also, let it go, you know, let it go. If 931 00:49:05,560 --> 00:49:08,200 Speaker 2: it's an X, let it? Why why I keep harassing somebody? 932 00:49:08,320 --> 00:49:11,120 Speaker 2: Stop holding onto the past, Alyssa. 933 00:49:10,800 --> 00:49:11,640 Speaker 1: Have you ever been to Ireland? 934 00:49:11,880 --> 00:49:13,479 Speaker 3: I have actually been. 935 00:49:15,400 --> 00:49:24,759 Speaker 2: To see Lepreus. Sorry, we love it. My mom's last 936 00:49:24,840 --> 00:49:26,200 Speaker 2: name is feral. I'm safe. 937 00:49:27,880 --> 00:49:30,680 Speaker 3: No, I had gone for a I went to the 938 00:49:30,840 --> 00:49:34,799 Speaker 3: Dublin Tech Summit and spoke there, which was a whole 939 00:49:34,800 --> 00:49:36,480 Speaker 3: lot of fun. So it was my first time in Ireland. 940 00:49:36,560 --> 00:49:39,160 Speaker 3: Not only went the one time so far, but it 941 00:49:39,239 --> 00:49:41,600 Speaker 3: was a whole lot of fun. It was. It was 942 00:49:41,640 --> 00:49:45,440 Speaker 3: pretty cool because Chris Hadfield was there, and Chris Hadfield 943 00:49:45,520 --> 00:49:49,480 Speaker 3: is a pretty popular Canadian astronaut. He plays the guitar 944 00:49:49,760 --> 00:49:52,880 Speaker 3: and sings, so he's a pretty good like Rould favorite, 945 00:49:53,880 --> 00:49:55,640 Speaker 3: and so that was like my first time being able 946 00:49:55,680 --> 00:49:58,320 Speaker 3: to meet him, and so that was pretty cool just 947 00:49:58,480 --> 00:50:00,880 Speaker 3: to kind of meet him and chat for a little bit. 948 00:50:00,920 --> 00:50:03,800 Speaker 3: We actually our flight kind of overlapped with like the 949 00:50:03,880 --> 00:50:06,520 Speaker 3: last day of the conference, so like we didn't actually 950 00:50:06,560 --> 00:50:08,600 Speaker 3: get to like sit in for his speech, but what 951 00:50:08,719 --> 00:50:11,080 Speaker 3: we did was we went to like his rehearsal basically 952 00:50:11,160 --> 00:50:13,560 Speaker 3: the day before. So it was so cool because he 953 00:50:13,680 --> 00:50:18,239 Speaker 3: was practicing because he was playing on Singing Major tom you. 954 00:50:18,320 --> 00:50:21,560 Speaker 1: Know, he was playing on Singing Classic Space. 955 00:50:23,560 --> 00:50:26,800 Speaker 3: He was playing on Singing that like during the conference 956 00:50:26,880 --> 00:50:29,840 Speaker 3: or whatever. But he was practicing you know, the vocals 957 00:50:29,920 --> 00:50:32,200 Speaker 3: and the guitar sounds and getting into sound right before 958 00:50:32,239 --> 00:50:34,160 Speaker 3: the thing. So it's like being like at your own 959 00:50:34,239 --> 00:50:36,839 Speaker 3: like private concert because like there wasn't anyone in there 960 00:50:36,880 --> 00:50:37,680 Speaker 3: because it's rehearsal. 961 00:50:37,880 --> 00:50:38,799 Speaker 1: So that's great. 962 00:50:39,000 --> 00:50:45,080 Speaker 3: Wow, Like the ground control, this is so bizarre. 963 00:50:46,719 --> 00:50:49,760 Speaker 1: I love that this guy who has been to Space 964 00:50:49,880 --> 00:50:53,360 Speaker 1: already already a very impressive person to listen to speak, 965 00:50:53,719 --> 00:50:56,000 Speaker 1: also feels like he's got a pizzazz it up a 966 00:50:56,120 --> 00:50:59,359 Speaker 1: little bit and sing a song at the end, give 967 00:50:59,440 --> 00:51:02,560 Speaker 1: a little flirt, a little flourish right at the end. 968 00:51:03,719 --> 00:51:06,520 Speaker 1: All right, do you guys want too short little ones 969 00:51:06,640 --> 00:51:09,120 Speaker 1: before we go, before we let a Lissa go. I 970 00:51:09,239 --> 00:51:13,680 Speaker 1: think so, and these are right. These are right up 971 00:51:13,719 --> 00:51:17,040 Speaker 1: my alley because they're both about animals. I always I 972 00:51:17,080 --> 00:51:19,840 Speaker 1: don't mean to choose most stories are about animals, but 973 00:51:20,160 --> 00:51:22,800 Speaker 1: I end up doing it. This one was sent to 974 00:51:22,880 --> 00:51:30,080 Speaker 1: us by I think one hundred people. Drunk monkey sentenced 975 00:51:30,080 --> 00:51:33,320 Speaker 1: to life behind bars after attacking two hundred and fifty humans. 976 00:51:34,040 --> 00:51:41,160 Speaker 1: So this is a story about a alcoholic monkey. The 977 00:51:41,239 --> 00:51:44,759 Speaker 1: monkeys named Kalua. Now it's the same way as you 978 00:51:44,880 --> 00:51:49,279 Speaker 1: pronounce the coffee liqueur. He will spend the rest of 979 00:51:49,360 --> 00:51:53,680 Speaker 1: his life in animal prison. This is from sevennews dot 980 00:51:53,840 --> 00:52:00,520 Speaker 1: com dot Au, our favorite local Australian absite. This is 981 00:52:00,600 --> 00:52:02,879 Speaker 1: by the digital staff. Thank you Digital staff, keep doing 982 00:52:02,920 --> 00:52:06,840 Speaker 1: your thing, Digi. According to reports, the animals bitten over 983 00:52:06,880 --> 00:52:09,600 Speaker 1: two hundred and fifty people. One of his victims died. 984 00:52:09,600 --> 00:52:14,279 Speaker 1: I'm so sorry. Rip Khalua is a pet monk. I'm 985 00:52:14,320 --> 00:52:16,200 Speaker 1: just gonna read this because it has some weird things 986 00:52:16,239 --> 00:52:19,520 Speaker 1: that I don't understand. H Khalua is a pet monkey 987 00:52:19,640 --> 00:52:23,480 Speaker 1: owned by an occultist, and a cultist is someone who 988 00:52:23,560 --> 00:52:26,719 Speaker 1: believes in the existence of supernatural agencies. But don't get 989 00:52:26,760 --> 00:52:30,080 Speaker 1: too distracted by that. The owner said. The owner would 990 00:52:30,080 --> 00:52:32,640 Speaker 1: regularly give khalua liquor to drink. We can't be sure 991 00:52:32,640 --> 00:52:35,080 Speaker 1: if Klu was actually drinking khalua. This is where it 992 00:52:35,120 --> 00:52:38,480 Speaker 1: gets a bit dark. The beloved pet eventually became an alcoholic. 993 00:52:38,640 --> 00:52:42,520 Speaker 1: When his owner, the occultist again not really important, died 994 00:52:42,840 --> 00:52:46,800 Speaker 1: and the booze stopped flowing. The monkey became aggressive. Kalua 995 00:52:47,200 --> 00:52:52,720 Speaker 1: on a rampage across the Mirzapura district in India, fighting 996 00:52:52,840 --> 00:52:57,080 Speaker 1: everyone he came across. Eventually, animal experts were called in 997 00:52:57,160 --> 00:52:59,360 Speaker 1: to catch him. Now Kalu is behind bars at the 998 00:52:59,440 --> 00:53:04,640 Speaker 1: can person. Oh, it's a zoo. Oh this article, I 999 00:53:04,800 --> 00:53:08,120 Speaker 1: think was That's why they just said. Digital staff wrote 1000 00:53:08,160 --> 00:53:11,080 Speaker 1: it because I don't know if this is I mean, 1001 00:53:11,160 --> 00:53:13,319 Speaker 1: it's all real, because I know that there's many other 1002 00:53:13,600 --> 00:53:15,719 Speaker 1: websites that covered this, because we got a lot of them. 1003 00:53:16,560 --> 00:53:16,960 Speaker 2: We kept. 1004 00:53:17,000 --> 00:53:19,239 Speaker 1: But here's the quote from the Camperzue. We kept him 1005 00:53:19,239 --> 00:53:21,520 Speaker 1: in isolations for some months and then shifted him to 1006 00:53:21,560 --> 00:53:25,200 Speaker 1: a separate cage. There's been no change in his behavior 1007 00:53:25,280 --> 00:53:27,480 Speaker 1: and he remains as aggressive as he was. It has 1008 00:53:27,520 --> 00:53:30,120 Speaker 1: been three years since he was brought here. Now I'm 1009 00:53:30,160 --> 00:53:33,320 Speaker 1: decided that he will remain in captivity all his life. 1010 00:53:33,440 --> 00:53:37,879 Speaker 1: That is sad and just because he got it, that's crazy. Also, 1011 00:53:38,440 --> 00:53:41,640 Speaker 1: it's just grief. Maybe was just grief his owner died, 1012 00:53:42,000 --> 00:53:45,719 Speaker 1: or his buddy died, his drinking buddy died. He just 1013 00:53:45,760 --> 00:53:46,840 Speaker 1: started biting people. 1014 00:53:47,560 --> 00:53:49,759 Speaker 3: See things take a lot more sense now that we're 1015 00:53:49,760 --> 00:53:52,000 Speaker 3: talking about zoo rather than animal jail. 1016 00:53:52,040 --> 00:53:54,320 Speaker 1: I was like, what is it jail? 1017 00:53:54,920 --> 00:53:57,360 Speaker 3: I was like, it's lucky. He just like picking up 1018 00:53:57,440 --> 00:53:59,040 Speaker 3: his like cup. 1019 00:53:58,880 --> 00:54:05,800 Speaker 1: And like, Alyssa, I am so happy you said that 1020 00:54:05,880 --> 00:54:08,799 Speaker 1: because that ties in with this other story, this quick 1021 00:54:08,840 --> 00:54:12,560 Speaker 1: one Dutch police, Oh. 1022 00:54:12,520 --> 00:54:16,640 Speaker 2: Come on, the best police. Oh come on, it's okay. 1023 00:54:16,800 --> 00:54:22,080 Speaker 1: Website froze and it's Dutch police arrest a bird. Sure 1024 00:54:22,680 --> 00:54:25,759 Speaker 1: this is from time. My thing is not loading for 1025 00:54:25,880 --> 00:54:28,080 Speaker 1: some reason. I hope I don't lose my innernet. 1026 00:54:28,280 --> 00:54:30,359 Speaker 2: Also, just a quick in between, we had a lot 1027 00:54:30,440 --> 00:54:32,759 Speaker 2: of you send a very good story. I believe it 1028 00:54:32,800 --> 00:54:35,720 Speaker 2: was from Austria about a man getting arrested and fined 1029 00:54:35,960 --> 00:54:42,399 Speaker 2: for intentionally farting so violently at the cops. I'm gonna 1030 00:54:42,440 --> 00:54:45,400 Speaker 2: post that one on Instagram because the photo is so funny. 1031 00:54:45,480 --> 00:54:52,160 Speaker 2: But Yeah, match a massive guest, massive intestinal disruption, and 1032 00:54:52,400 --> 00:54:54,920 Speaker 2: they find they arrested him for farting really loudly? Are 1033 00:54:54,960 --> 00:54:57,960 Speaker 2: cops Kurt? Was that enough of a halftime for you? Yep? 1034 00:54:58,200 --> 00:55:01,600 Speaker 1: Police arrested a sneaky bird for its partner robbery. This 1035 00:55:01,800 --> 00:55:05,439 Speaker 1: is for Time Magazine by Rachel green Span. A Dutch 1036 00:55:05,520 --> 00:55:07,560 Speaker 1: bird was spotted at the scene of the crime, and 1037 00:55:07,640 --> 00:55:10,360 Speaker 1: the police evidently had a lot of fundeling out of punishment, 1038 00:55:10,719 --> 00:55:14,160 Speaker 1: so they rested this bird because this guy robbed this 1039 00:55:14,320 --> 00:55:19,880 Speaker 1: store with a bird on his shoulder, which is the 1040 00:55:20,200 --> 00:55:24,360 Speaker 1: coolest way to rob a store is with a little 1041 00:55:24,480 --> 00:55:27,960 Speaker 1: parakeet on your shoulder the whole time. So they arrested 1042 00:55:28,000 --> 00:55:30,200 Speaker 1: the man, and they obviously had to take the bird 1043 00:55:30,239 --> 00:55:32,200 Speaker 1: and took custody because they couldn't just let the bird go. 1044 00:55:32,360 --> 00:55:34,920 Speaker 1: It was a pet bird and they didn't have a 1045 00:55:34,960 --> 00:55:36,920 Speaker 1: bird cage, so they put the bird in its own 1046 00:55:37,040 --> 00:55:40,400 Speaker 1: jail cell and gave him a little sandwich, and then 1047 00:55:40,440 --> 00:55:43,400 Speaker 1: they took a photograph of it. And the only reason 1048 00:55:43,760 --> 00:55:46,080 Speaker 1: that this is great is because they have a photo 1049 00:55:46,440 --> 00:55:49,279 Speaker 1: of this tiny bird in a jail cell like and 1050 00:55:49,400 --> 00:55:52,560 Speaker 1: he has nibbled a little bit on his sandwich on 1051 00:55:52,680 --> 00:55:54,759 Speaker 1: his like jail sandwich that he gets. 1052 00:55:56,080 --> 00:55:57,360 Speaker 3: The bars? Is he that? 1053 00:55:57,800 --> 00:56:02,320 Speaker 1: Like great quest question? That is a great question. Also, 1054 00:56:02,600 --> 00:56:04,279 Speaker 1: he might have his wings clipped, do you know what 1055 00:56:04,320 --> 00:56:08,560 Speaker 1: I mean? He might not be able to fly. And 1056 00:56:08,640 --> 00:56:13,040 Speaker 1: then here's the best part is that in when the 1057 00:56:13,120 --> 00:56:16,239 Speaker 1: media picked up this photograph, they put it on their Instagram, 1058 00:56:18,080 --> 00:56:21,960 Speaker 1: these specific Dutch police. Dutch media picked it up and 1059 00:56:22,040 --> 00:56:26,000 Speaker 1: then put a black bar over the bird's eyes to 1060 00:56:26,160 --> 00:56:31,680 Speaker 1: protect its identity. Sweet pea, Yeah, man, it looks really great. 1061 00:56:32,000 --> 00:56:33,800 Speaker 2: That's so funny. There is a joy when you're on 1062 00:56:33,880 --> 00:56:35,840 Speaker 2: the beach and you see like somebody going to the 1063 00:56:35,920 --> 00:56:38,160 Speaker 2: ocean and then you see the seagulls land and start 1064 00:56:38,200 --> 00:56:40,960 Speaker 2: going at their like doritos and sandwiches, and you give 1065 00:56:41,040 --> 00:56:44,000 Speaker 2: that half asked, like hey watch it, and then you 1066 00:56:44,200 --> 00:56:47,279 Speaker 2: just give in. And then you see four hundred, like 1067 00:56:47,400 --> 00:56:50,560 Speaker 2: of the most ravenous birds in the world just ripping apart. 1068 00:56:50,719 --> 00:56:52,560 Speaker 2: Somebody's quiz nose. It's a jewey. 1069 00:56:52,640 --> 00:56:55,520 Speaker 1: I watched I watched a couple go into the beat 1070 00:56:55,600 --> 00:56:58,399 Speaker 1: into the water, and a bird came over. They had 1071 00:56:58,440 --> 00:57:01,960 Speaker 1: their bag, it was zipped clothes. The seagull unzipped the 1072 00:57:02,080 --> 00:57:05,680 Speaker 1: bag reached inside of it, pulled out a Burger King bag, 1073 00:57:06,280 --> 00:57:10,120 Speaker 1: then grabbed the bag by the bottom, picked it upside down, 1074 00:57:10,239 --> 00:57:12,839 Speaker 1: dumped the contents of the burger King out, and then 1075 00:57:13,040 --> 00:57:16,360 Speaker 1: found a chicken sandwich Burger King chicken sandwich that long one, 1076 00:57:16,880 --> 00:57:20,400 Speaker 1: and then unwrapped it and then grabbed the whole sandwich 1077 00:57:21,200 --> 00:57:26,360 Speaker 1: and took off with it. Seagulls are very smart and 1078 00:57:26,440 --> 00:57:27,160 Speaker 1: they're awful. 1079 00:57:27,680 --> 00:57:28,720 Speaker 2: Yep, smartness. 1080 00:57:28,720 --> 00:57:30,000 Speaker 1: Are you a bird fan, Alyssa? 1081 00:57:30,680 --> 00:57:32,400 Speaker 3: I mean I don't. 1082 00:57:32,280 --> 00:57:40,600 Speaker 5: Dislike them, but I'm not like you either good nor Yes, exactly, 1083 00:57:41,120 --> 00:57:43,040 Speaker 5: I don't dislike or like birds. 1084 00:57:43,080 --> 00:57:43,280 Speaker 3: Guys. 1085 00:57:43,320 --> 00:57:46,400 Speaker 2: Are you having fun up here? It's good? It's not bad. 1086 00:57:46,480 --> 00:57:48,320 Speaker 2: It's not my favorite. That's how you know when somebody 1087 00:57:48,360 --> 00:57:50,240 Speaker 2: doesn't like something at a restaurant. You're like, is that good? 1088 00:57:50,240 --> 00:57:52,000 Speaker 2: And they're like, it's not my favorite. That means they 1089 00:57:52,120 --> 00:57:53,880 Speaker 2: hate it and they're gonna get fast food on the 1090 00:57:53,920 --> 00:57:55,720 Speaker 2: drive home. It's not my favorite. 1091 00:57:56,360 --> 00:57:59,840 Speaker 1: Oh, Alyssa, thank you so much for being on banana. 1092 00:58:00,200 --> 00:58:02,760 Speaker 1: Is there anywhere can people find you? Is there anything 1093 00:58:02,800 --> 00:58:05,480 Speaker 1: you want to plug, anything you want to tell people about? 1094 00:58:06,200 --> 00:58:09,120 Speaker 3: Yes? Sure, I mean you can find anything about what's 1095 00:58:09,200 --> 00:58:11,680 Speaker 3: going on, I guess in my life for you know anything, 1096 00:58:11,800 --> 00:58:15,840 Speaker 3: just space related in general, all under NASA Blueberry, So 1097 00:58:16,560 --> 00:58:21,000 Speaker 3: whatever social media you like, it's probably there. And yeah, 1098 00:58:21,160 --> 00:58:24,160 Speaker 3: just kind you know, keep whatever interest in the space 1099 00:58:24,240 --> 00:58:24,960 Speaker 3: industry live. 1100 00:58:26,800 --> 00:58:30,160 Speaker 1: Thank you and blessed, blessing. Thank you. That was a 1101 00:58:30,320 --> 00:58:35,040 Speaker 1: quiet sneeze to make it quiet. They can't hear you 1102 00:58:35,200 --> 00:58:36,120 Speaker 1: sneeze in space. 1103 00:58:36,280 --> 00:58:38,440 Speaker 2: That's what I well, thank you so much and keep 1104 00:58:38,520 --> 00:58:40,080 Speaker 2: going for it. And I'm sure we're going to check 1105 00:58:40,160 --> 00:58:42,760 Speaker 2: back in with you at some point. And if you 1106 00:58:42,880 --> 00:58:45,440 Speaker 2: ever come across any crazy space stories that you think 1107 00:58:45,560 --> 00:58:49,160 Speaker 2: we would love, please send them our way. We would 1108 00:58:49,240 --> 00:58:49,520 Speaker 2: love that. 1109 00:58:50,520 --> 00:58:52,240 Speaker 1: Thank you, Alyssa and good luck. 1110 00:58:52,440 --> 00:58:53,280 Speaker 3: Thank you so much. 1111 00:58:53,800 --> 00:58:55,520 Speaker 2: Bananas Bananas. 1112 00:59:01,640 --> 00:59:03,560 Speaker 1: This has been an exactly right production. 1113 00:59:03,560 --> 00:59:05,840 Speaker 2: Produced and engineered by Katie Levine. 1114 00:59:06,000 --> 00:59:09,200 Speaker 1: Theme song by Khan Amani, and all of our artwork 1115 00:59:09,320 --> 00:59:11,640 Speaker 1: is done by Travis Millard. So please follow us on 1116 00:59:11,800 --> 00:59:15,360 Speaker 1: Instagram at the Bananas Podcast, where we post so many 1117 00:59:15,440 --> 00:59:17,560 Speaker 1: more stories and make it here and you. 1118 00:59:17,600 --> 00:59:20,000 Speaker 2: Can share with us your strange news story by d 1119 00:59:20,160 --> 00:59:22,880 Speaker 2: ming us on Instagram at the Bananas Podcast, So. 1120 00:59:23,040 --> 00:59:25,840 Speaker 1: Listen, subscribe, and please leave us a review on Apple 1121 00:59:25,920 --> 00:59:28,600 Speaker 1: podcast Stitch or wherever you get your podcasts. 1122 00:59:28,960 --> 00:59:30,880 Speaker 2: Bananas Bananas 1123 00:59:39,760 --> 00:59:40,160 Speaker 5: Ba