1 00:00:08,245 --> 00:00:13,845 Speaker 1: School of Humans. Hello, Welcome to Cadaver Gause, the critically 2 00:00:13,885 --> 00:00:16,405 Speaker 1: reviewed podcast where we talk about all of the ways 3 00:00:17,005 --> 00:00:23,005 Speaker 1: people have died to cope with our own mortality. Critically reviewed. 4 00:00:23,285 --> 00:00:27,685 Speaker 1: I am Taylor along with Gabby. I like how you 5 00:00:27,685 --> 00:00:30,845 Speaker 1: start with the bitterness. I like, I appreciate that, and 6 00:00:30,885 --> 00:00:34,445 Speaker 1: I think that's a good oment for today's session. Also, hello, 7 00:00:34,805 --> 00:00:36,445 Speaker 1: I got scared right now. I thought I was just 8 00:00:36,485 --> 00:00:41,045 Speaker 1: about to get in trouble. Yes, and Nika, Yes, my 9 00:00:41,485 --> 00:00:46,245 Speaker 1: um ass has actually been critically reviewed by every barista 10 00:00:46,325 --> 00:00:50,365 Speaker 1: in Atlanta, so I know a lot about critical reviews. Great, 11 00:00:50,565 --> 00:00:55,245 Speaker 1: is it acclaimed or reviewed? I like, you didn't say claimed. 12 00:00:56,045 --> 00:00:58,725 Speaker 1: Oh that's like this guy about my stand up recently 13 00:00:58,805 --> 00:01:03,005 Speaker 1: at a show, he was like, your comedy is really bland, 14 00:01:03,485 --> 00:01:05,285 Speaker 1: which I was like, okay, but I usually think my 15 00:01:05,285 --> 00:01:07,845 Speaker 1: com he's too weird to understand. So what I think 16 00:01:07,885 --> 00:01:10,085 Speaker 1: I was like trying to question him about the criticism. 17 00:01:10,165 --> 00:01:11,765 Speaker 1: What we realize is that he was trying to say, 18 00:01:11,805 --> 00:01:15,325 Speaker 1: I have a monotone, so, oh, that's not about your commonness, 19 00:01:15,405 --> 00:01:17,725 Speaker 1: just your voice. Yeah, just it's not I have maybe 20 00:01:17,765 --> 00:01:20,365 Speaker 1: good jokes, but they're terrible to listen to through the 21 00:01:20,445 --> 00:01:25,685 Speaker 1: vehicle of my voice. Okay, great, So today we were 22 00:01:25,685 --> 00:01:29,045 Speaker 1: pretty much gonna be talking about my hell So, Gabby's 23 00:01:29,085 --> 00:01:32,565 Speaker 1: gonna tell us how Bacon fights back, and Nika is 24 00:01:32,565 --> 00:01:34,405 Speaker 1: going to tell us about death while riding a horse. 25 00:01:34,485 --> 00:01:38,765 Speaker 1: So really great, but you get fighting back. I know 26 00:01:38,925 --> 00:01:41,965 Speaker 1: you didn't just refer to the animal the pig as Bacon. 27 00:01:42,165 --> 00:01:45,525 Speaker 1: Yeah I did. She's leaning into it. Yeah, the episode 28 00:01:45,565 --> 00:01:48,725 Speaker 1: is all about animals, so sorry, Taylor. So today's trigger 29 00:01:48,765 --> 00:01:51,125 Speaker 1: warnings are basically, if you see any part of yourself 30 00:01:51,165 --> 00:01:55,685 Speaker 1: in me, you're gonna be triggered. So things like animals 31 00:01:55,725 --> 00:02:00,205 Speaker 1: consuming humans, blood go or heart attacks, death, I'm gonna 32 00:02:00,245 --> 00:02:04,965 Speaker 1: say it, animal cruelty probably, and maxia and eating disorders 33 00:02:04,965 --> 00:02:10,405 Speaker 1: and balloon yeah, and a arexia eating disorders and really 34 00:02:10,485 --> 00:02:27,245 Speaker 1: great stuff like that. Okay, great, cue the music. I 35 00:02:27,285 --> 00:02:29,605 Speaker 1: don't even know who should go first because it's both 36 00:02:30,005 --> 00:02:33,205 Speaker 1: both are gonna trigger me, but I but Gabby. I'm 37 00:02:33,245 --> 00:02:38,245 Speaker 1: gonna choose Gabby, so take it away. Okay, Yeah, so 38 00:02:38,285 --> 00:02:40,725 Speaker 1: I guess this is the Bacon story, um, but it's 39 00:02:40,765 --> 00:02:46,325 Speaker 1: actually about pre Bacon, which is called a pig. I 40 00:02:46,325 --> 00:02:48,845 Speaker 1: don't believe in jail, but Gabby gets jail, right, now 41 00:02:49,005 --> 00:02:51,645 Speaker 1: going to jail. Yeah, Okay, So this is about a 42 00:02:51,685 --> 00:02:54,845 Speaker 1: guy named Terry and he was living up in Oregon, Okay. 43 00:02:54,925 --> 00:02:57,085 Speaker 1: He had a farm and the farm was really good 44 00:02:57,085 --> 00:02:59,565 Speaker 1: for him because he had he was a Vietnam War veteran, 45 00:02:59,605 --> 00:03:04,045 Speaker 1: and so he had had some war trauma. I guess 46 00:03:03,925 --> 00:03:07,045 Speaker 1: the true warning war trauma. I already said about wars 47 00:03:07,125 --> 00:03:09,765 Speaker 1: be happening. So he had that, he had PTSD and 48 00:03:09,885 --> 00:03:12,405 Speaker 1: so kind of after the war, and also when he 49 00:03:12,445 --> 00:03:14,405 Speaker 1: got a little bit older, he started a farm and 50 00:03:14,525 --> 00:03:16,885 Speaker 1: rule organ and he had a variety of animals. His 51 00:03:16,965 --> 00:03:19,605 Speaker 1: brother was like, yeah, yeah, So he had like some 52 00:03:19,725 --> 00:03:23,725 Speaker 1: turkeys and some other birds, and notably he had his 53 00:03:23,925 --> 00:03:26,525 Speaker 1: I'll just call them regular pigs. He had some pigs, 54 00:03:26,685 --> 00:03:30,565 Speaker 1: and they were some big daddy pigs too. They were 55 00:03:30,605 --> 00:03:34,605 Speaker 1: just like Gimungo huge pigs. All of them were like 56 00:03:34,685 --> 00:03:38,285 Speaker 1: seven hundred pounds. He had some sALS and also one boar, 57 00:03:38,565 --> 00:03:42,405 Speaker 1: and his boar had a fun name. His boar was 58 00:03:42,485 --> 00:03:48,925 Speaker 1: named Teddy. So cute. Yeah, so Terry's the dude. Teddy 59 00:03:49,005 --> 00:03:51,965 Speaker 1: is the pig, the mail pig. And apparently, you know, 60 00:03:52,005 --> 00:03:56,365 Speaker 1: whenever like the pigs would have kids, little piglets, he 61 00:03:56,405 --> 00:03:58,805 Speaker 1: would then give the piglets to like the kids in 62 00:03:58,845 --> 00:04:01,325 Speaker 1: the area to have, which I was like, I that 63 00:04:01,485 --> 00:04:03,445 Speaker 1: part that was just like a sentence that was in 64 00:04:03,565 --> 00:04:06,285 Speaker 1: several articles. But I do wonder about, you know, just 65 00:04:06,365 --> 00:04:09,365 Speaker 1: giving the kids some piglets. I wonder if they asked 66 00:04:09,365 --> 00:04:12,885 Speaker 1: their parents first or otherwise just like brought home some pigs. Yeah, 67 00:04:12,925 --> 00:04:14,565 Speaker 1: I'd be mad if my kid just came home with 68 00:04:14,605 --> 00:04:16,485 Speaker 1: a pig. I'd be like, um, what do you want 69 00:04:16,525 --> 00:04:18,085 Speaker 1: me to do with this? I mean, don't get me wrong, 70 00:04:18,125 --> 00:04:21,645 Speaker 1: they're cute and everything, but like you gotta know how 71 00:04:21,685 --> 00:04:23,445 Speaker 1: to take care of them and do all the things. 72 00:04:23,485 --> 00:04:26,365 Speaker 1: You can't just like willy nilly be getting pigs. You can't. 73 00:04:26,405 --> 00:04:29,325 Speaker 1: That is a big, big thing for cadaver gause. You 74 00:04:29,325 --> 00:04:32,125 Speaker 1: can't just willy nilly be getting pigs. That's what we're saying. 75 00:04:32,685 --> 00:04:35,725 Speaker 1: Especially these pigs they were. Yeah, because usually, you know, 76 00:04:35,805 --> 00:04:38,765 Speaker 1: fun facts, most domesticated pigs, usually they'll be more like 77 00:04:38,845 --> 00:04:41,605 Speaker 1: the two hundred and fifty to three hundred pound range. 78 00:04:41,645 --> 00:04:46,165 Speaker 1: But again, these were seven hundred pound. Hold up, hold up, 79 00:04:46,605 --> 00:04:49,565 Speaker 1: let's let's take a moment. So this man was giving 80 00:04:49,565 --> 00:04:54,925 Speaker 1: away pigs piglets, but they were seven They would grow 81 00:04:54,925 --> 00:04:58,325 Speaker 1: to be seven hundred pounds. Willy nilly, Willy nilly. I mean, 82 00:04:58,365 --> 00:05:00,725 Speaker 1: I guess it just depends because I don't know if 83 00:05:00,765 --> 00:05:03,205 Speaker 1: he it was unclear whether or not. It didn't seem 84 00:05:03,245 --> 00:05:06,485 Speaker 1: that he you know, processed I he killed the pigs 85 00:05:06,525 --> 00:05:10,045 Speaker 1: or anything. So I don't okay, I don't know what 86 00:05:10,205 --> 00:05:12,525 Speaker 1: he was using the pigs for. Maybe he like fed 87 00:05:12,565 --> 00:05:16,365 Speaker 1: them a lot, maybe they were special fat pigs. But um, 88 00:05:16,445 --> 00:05:19,685 Speaker 1: that's just very big. That's very large for a which 89 00:05:20,125 --> 00:05:24,005 Speaker 1: is not you know, unusual for pigs. Cadavergaws, the pig wing, 90 00:05:24,845 --> 00:05:27,165 Speaker 1: this is what this episode is. But you know, pigs 91 00:05:27,205 --> 00:05:30,085 Speaker 1: can get that big, you know, but these in general, 92 00:05:30,125 --> 00:05:33,165 Speaker 1: they are not that big. But if this is America, okay, 93 00:05:33,245 --> 00:05:36,885 Speaker 1: so we have big pigs here, and I don't just 94 00:05:37,005 --> 00:05:43,565 Speaker 1: mean Republicans, Okay, um, okay, good job. Okay. So one 95 00:05:43,645 --> 00:05:46,805 Speaker 1: day I was about to call him Teddy, Terry, Terry 96 00:05:46,845 --> 00:05:49,205 Speaker 1: the Man, Teddy the pig. Okay. So one time, Terry 97 00:05:49,245 --> 00:05:52,045 Speaker 1: the Man, he was you know, messing around, you know, 98 00:05:52,085 --> 00:05:54,885 Speaker 1: doing his farm duties, et cetera, and one of the 99 00:05:54,885 --> 00:05:59,605 Speaker 1: pigs bit him. Okay, which is so rude of that pig. 100 00:05:59,645 --> 00:06:04,725 Speaker 1: But also Terry apparently had accidentally stepped on a piglet, 101 00:06:05,085 --> 00:06:07,845 Speaker 1: so it might have been one of the lady pigs, 102 00:06:07,845 --> 00:06:10,805 Speaker 1: one of the sALS uh. It might have been like 103 00:06:10,805 --> 00:06:13,525 Speaker 1: a protective thing, because apparently pig mamas can be pretty 104 00:06:13,565 --> 00:06:16,645 Speaker 1: protective of their little babies, except for when they're having them. 105 00:06:16,685 --> 00:06:18,925 Speaker 1: It's really important to get the piglets out of the 106 00:06:18,965 --> 00:06:21,725 Speaker 1: way because often lots of piglets die because the mama 107 00:06:21,805 --> 00:06:24,445 Speaker 1: pigs crush them as they're coming out because they're so big. 108 00:06:24,565 --> 00:06:27,365 Speaker 1: So if you have a pig having a baby, a 109 00:06:27,365 --> 00:06:30,165 Speaker 1: little hot tip from the cadaver guse no, you would 110 00:06:30,205 --> 00:06:31,765 Speaker 1: probably know more about that if you had a pig 111 00:06:31,805 --> 00:06:37,405 Speaker 1: having piglets pigs, you know, don't listen to this. Don't 112 00:06:37,405 --> 00:06:39,485 Speaker 1: listen to this episode. You'll be like these stupid girls. 113 00:06:39,685 --> 00:06:41,765 Speaker 1: You know, when I think of pigs, I think of 114 00:06:41,765 --> 00:06:46,165 Speaker 1: like teacup piglets, like as like domesticated pigs. I forget that, 115 00:06:46,245 --> 00:06:50,205 Speaker 1: you know, we be eating them. Yeah, maybe scream and stuff. Yeah, 116 00:06:50,205 --> 00:06:53,565 Speaker 1: oh yeah. I watched Spirited Away for the first time 117 00:06:53,685 --> 00:06:57,925 Speaker 1: yesterday and um, there's a lot of pigs in the movie. 118 00:06:57,925 --> 00:07:00,365 Speaker 1: I won't ruin it for anyone, but the pigs are 119 00:07:00,405 --> 00:07:04,725 Speaker 1: squealing and they're all together, they're bunched up, and I 120 00:07:04,845 --> 00:07:06,805 Speaker 1: my whole heart, I can't take that. I can't see 121 00:07:06,805 --> 00:07:09,925 Speaker 1: a vegan documentary like, I cannot do it. I will 122 00:07:09,965 --> 00:07:13,445 Speaker 1: get traumatized. Anyway. Pigs be big and they'd be squealing 123 00:07:13,445 --> 00:07:16,485 Speaker 1: go ahead. Yeah, so one of the pigs, I'd bet him, 124 00:07:16,765 --> 00:07:19,485 Speaker 1: And then Terry's brother came over and was like, yeah, 125 00:07:19,485 --> 00:07:20,925 Speaker 1: what's up, what's going on. He's like, well, one of 126 00:07:20,965 --> 00:07:23,325 Speaker 1: my pigs bet me. And he's like, oh, shooters, what 127 00:07:23,365 --> 00:07:25,565 Speaker 1: are you gonna do? And Terry was like, oh, I 128 00:07:25,605 --> 00:07:26,965 Speaker 1: guess I'm probably gonna have to, like, you know, put 129 00:07:27,005 --> 00:07:29,565 Speaker 1: him down, kill him or something. But then his brother 130 00:07:29,605 --> 00:07:32,645 Speaker 1: came back I think a few weeks later, and Terry 131 00:07:32,645 --> 00:07:35,165 Speaker 1: had decided against it actually because I guess he had 132 00:07:35,205 --> 00:07:39,765 Speaker 1: a love for his thicky daddy piggies, so he didn't 133 00:07:39,925 --> 00:07:42,485 Speaker 1: kill that pig. That pig was around. But yeah, I 134 00:07:42,485 --> 00:07:46,245 Speaker 1: mean pigs sometimes they can be aggressive, like you know, 135 00:07:46,645 --> 00:07:49,885 Speaker 1: as I was saying, sometimes it's usually more wild pigs 136 00:07:49,925 --> 00:07:53,645 Speaker 1: that will be more aggressive. Obviously, that makes sense, that 137 00:07:53,845 --> 00:07:56,725 Speaker 1: is how logic works. And so in general, you know, 138 00:07:56,805 --> 00:08:00,485 Speaker 1: domesticated pigs, there isn't really like really any accounts of 139 00:08:00,485 --> 00:08:04,965 Speaker 1: them hurting people necessarily, but like with wild pigs, like 140 00:08:05,045 --> 00:08:08,005 Speaker 1: wild hogs, Farrell hogs. We all know about the Farrell hogs. 141 00:08:08,405 --> 00:08:11,525 Speaker 1: They sometimes get people into trouble. And there was in 142 00:08:11,605 --> 00:08:15,645 Speaker 1: twenty nineteen there's this lady in Texas because Texas is 143 00:08:15,685 --> 00:08:19,325 Speaker 1: like overrun by Farrell pigs. There's just like a million 144 00:08:19,405 --> 00:08:23,765 Speaker 1: pigs just running around Texas. And this lady one time 145 00:08:23,765 --> 00:08:27,125 Speaker 1: she was walking from her car into her house and 146 00:08:27,205 --> 00:08:28,765 Speaker 1: she like before she got to like the front door 147 00:08:28,765 --> 00:08:30,205 Speaker 1: of her house, which was like pretty close spy, she 148 00:08:30,205 --> 00:08:34,125 Speaker 1: got attacked by a herd of wild pigs and she 149 00:08:34,365 --> 00:08:39,445 Speaker 1: died from the pig attacked. Pigs like wild boar are 150 00:08:39,765 --> 00:08:44,125 Speaker 1: very scary and very dangerous. Yeah. Also, the thing is 151 00:08:44,165 --> 00:08:47,445 Speaker 1: like these pigs, some of them are super pigs because 152 00:08:47,485 --> 00:08:52,525 Speaker 1: they're like super smart pigs. Horrified. I love it. I 153 00:08:53,445 --> 00:08:57,845 Speaker 1: is the one the bit aren't Terry Terry? Terry? Was 154 00:08:57,885 --> 00:09:00,565 Speaker 1: that a super pig? Did she come back and haunt him? 155 00:09:01,005 --> 00:09:03,925 Speaker 1: He was a dome that was a domesticated pig. And 156 00:09:03,965 --> 00:09:05,845 Speaker 1: we'll get back to Terry because you know this is 157 00:09:05,885 --> 00:09:09,965 Speaker 1: cadaver gals. I was doing some foreshadowing, but a little 158 00:09:10,005 --> 00:09:13,845 Speaker 1: more detail tho scares me though, you know, you see 159 00:09:13,885 --> 00:09:16,125 Speaker 1: pictures of those influencers and like, I don't even know 160 00:09:16,245 --> 00:09:19,285 Speaker 1: Malodi's bora Bora. I don't know. Would they take pictures 161 00:09:19,365 --> 00:09:22,085 Speaker 1: with the pigs in the ocean, like the wild pigs 162 00:09:22,085 --> 00:09:26,485 Speaker 1: in the ocean. I have no interest whatsoever in being 163 00:09:26,565 --> 00:09:29,245 Speaker 1: near those pigs, none at all. But let's be real, 164 00:09:29,285 --> 00:09:31,805 Speaker 1: those are relatives. I mean, they're not maybe they're not domesticated, 165 00:09:31,805 --> 00:09:34,125 Speaker 1: but they're around people all of the time. Oh yeah, 166 00:09:34,205 --> 00:09:37,405 Speaker 1: like they know. Remember we've talked about this with the 167 00:09:37,445 --> 00:09:43,485 Speaker 1: wolves the other week. Yes, yes, we did. Wolf girl Taylor, Taylor, 168 00:09:44,525 --> 00:09:48,085 Speaker 1: you got a furry are you? No? I just I 169 00:09:48,085 --> 00:09:50,725 Speaker 1: would be not I would not be judgment to be honest, 170 00:09:50,765 --> 00:09:53,245 Speaker 1: I've questioned myself, you know. So I just want to 171 00:09:53,245 --> 00:09:57,685 Speaker 1: put it out there. It's okay, No, Taylor loves the pigs, 172 00:09:57,965 --> 00:10:01,565 Speaker 1: Niko wants to be the pigs. I am the pig. 173 00:10:01,645 --> 00:10:05,085 Speaker 1: So here we go. Gobby's final form. Okay, go ahead, 174 00:10:05,125 --> 00:10:09,485 Speaker 1: final form. But actually I am since the cadavergals, I 175 00:10:09,525 --> 00:10:13,005 Speaker 1: am fearmongering and they're actually you know, they're not that. 176 00:10:13,445 --> 00:10:15,805 Speaker 1: I mean, they do be attacking people out in the wild. 177 00:10:15,805 --> 00:10:19,405 Speaker 1: The wild pigs do. But in terms of official reported 178 00:10:19,445 --> 00:10:22,845 Speaker 1: deaths by wild pigs in the United States since eighteen 179 00:10:22,925 --> 00:10:28,405 Speaker 1: twenty five, there have only been five, so pretty low risk. 180 00:10:28,965 --> 00:10:31,005 Speaker 1: That's a lot lower than I would than I would think, 181 00:10:31,525 --> 00:10:34,205 Speaker 1: But there might be a lot of unreported pig deaths, 182 00:10:34,205 --> 00:10:38,205 Speaker 1: so we don't know. Continuous fear mongering. He's like, these 183 00:10:38,245 --> 00:10:42,245 Speaker 1: are the facts, but who knows. Do we have trust 184 00:10:42,285 --> 00:10:46,085 Speaker 1: those facts? But facts can be different in the future. 185 00:10:47,485 --> 00:10:49,965 Speaker 1: We're gonna go in our cadaver gals time machine just 186 00:10:50,085 --> 00:10:54,405 Speaker 1: to calculate this with Tennessee Williams and Nicholas Cage to 187 00:10:54,525 --> 00:10:57,845 Speaker 1: calculate pig deaths. Okay, let's go back to Terry. Why 188 00:10:57,845 --> 00:11:01,565 Speaker 1: don't we So you know, he's doing his farm thing, 189 00:11:01,685 --> 00:11:05,125 Speaker 1: just whatever, and this is in like twenty twenty twelve, 190 00:11:05,245 --> 00:11:08,165 Speaker 1: and yes he was. He's at the age of sixty 191 00:11:08,245 --> 00:11:11,765 Speaker 1: nine at this point. I'm not at sixty nine. I 192 00:11:11,845 --> 00:11:15,565 Speaker 1: can't do anything about that, Okay, I totally miss that 193 00:11:16,005 --> 00:11:21,165 Speaker 1: was sixty nine. Yeah, like the sex position. Yeah, I 194 00:11:21,205 --> 00:11:23,165 Speaker 1: didn't want to bring it up, but that was literally 195 00:11:23,205 --> 00:11:28,405 Speaker 1: his age, okay, okay, okay, But anyway, so it's the 196 00:11:28,485 --> 00:11:31,845 Speaker 1: end of September in twenty twelve and another one of 197 00:11:31,885 --> 00:11:34,605 Speaker 1: his family members comes by his house and they can't 198 00:11:34,765 --> 00:11:39,165 Speaker 1: find him. He's missing. Where where's Terry? Where is he? 199 00:11:39,925 --> 00:11:43,005 Speaker 1: And they walk around and then eventually they get to 200 00:11:43,165 --> 00:11:47,045 Speaker 1: the enclosure where the pigs are kept. And first they 201 00:11:47,085 --> 00:11:52,405 Speaker 1: spotted his dentures, and then they spotted some parts of 202 00:11:52,525 --> 00:11:57,725 Speaker 1: his body. No, his dentures. Yeah, he was sixty nine. 203 00:11:57,765 --> 00:12:01,445 Speaker 1: He had fake teeth. Teeth, No, I know what, I 204 00:12:01,485 --> 00:12:04,085 Speaker 1: know what dentures are. I just the thought of a 205 00:12:04,125 --> 00:12:06,325 Speaker 1: pig raring dentures came into my and I'm sorry, Okay, 206 00:12:07,085 --> 00:12:10,205 Speaker 1: the pig was no, he didn't like the dentures. That 207 00:12:10,325 --> 00:12:14,005 Speaker 1: this is now that line of disrespect on our show. 208 00:12:18,565 --> 00:12:23,845 Speaker 1: But yeah, so um and so they were like, oh shit, 209 00:12:24,005 --> 00:12:26,885 Speaker 1: I'm sure they said a lot of things, but anyway, 210 00:12:26,925 --> 00:12:32,285 Speaker 1: so the pigs had eaten him, okay. And the thing though, 211 00:12:32,965 --> 00:12:36,125 Speaker 1: is they were never able to establish why the pigs 212 00:12:36,885 --> 00:12:39,605 Speaker 1: ate him because so much of his body was consumed. Obviously, 213 00:12:39,685 --> 00:12:44,085 Speaker 1: the pathologist and that and et cetera couldn't ascertain what 214 00:12:44,245 --> 00:12:47,565 Speaker 1: happened because there was not enough body left for them 215 00:12:47,645 --> 00:12:49,565 Speaker 1: to determine what happened. And he was like, you know, 216 00:12:49,605 --> 00:12:52,885 Speaker 1: the pathologist was like well, theoretically, what could have happened is, 217 00:12:52,925 --> 00:12:55,565 Speaker 1: you know, he might have had a heart attack or 218 00:12:55,645 --> 00:12:57,885 Speaker 1: you know, some sort of other more you know, naturally 219 00:12:57,885 --> 00:13:03,205 Speaker 1: occurring sudden thing happened. I forgot all words just now. Um, 220 00:13:03,525 --> 00:13:05,805 Speaker 1: you might have had a heart attack or something, and 221 00:13:05,925 --> 00:13:07,885 Speaker 1: he might have fallen to the ground. And because pigs 222 00:13:07,925 --> 00:13:11,805 Speaker 1: are omnivores, you know, they do eat vegetables and they 223 00:13:11,845 --> 00:13:15,125 Speaker 1: also eat meat, they could have been just eaten him 224 00:13:15,205 --> 00:13:17,685 Speaker 1: out of hunger, because that that's an option. They're gonna 225 00:13:17,725 --> 00:13:19,885 Speaker 1: do it, you know, because they eat a variety if 226 00:13:19,925 --> 00:13:22,045 Speaker 1: they're just like us, pigs are just like us. But 227 00:13:22,245 --> 00:13:24,805 Speaker 1: the pathologists could not rule out they could not rule 228 00:13:24,845 --> 00:13:29,605 Speaker 1: out whether or not the pigs deliberately attacked him, knocked 229 00:13:29,645 --> 00:13:31,965 Speaker 1: him over, killed him, and ate him. They could not 230 00:13:32,085 --> 00:13:35,645 Speaker 1: rule that out because that is something that could have happened. 231 00:13:35,765 --> 00:13:41,165 Speaker 1: So that Are there any other instances in history where 232 00:13:41,325 --> 00:13:48,565 Speaker 1: pigs have like gotten together and like revolted against their master? Yeah? 233 00:13:48,645 --> 00:13:53,565 Speaker 1: And that what is that nonfiction book? Uh? The famous 234 00:13:53,565 --> 00:13:59,605 Speaker 1: one that is a fiction book? Oh? What the Animal House. 235 00:14:00,485 --> 00:14:04,045 Speaker 1: Well here's the thing, though, this hasn't I looked around 236 00:14:04,125 --> 00:14:07,485 Speaker 1: and there really aren't that many, you know, domesticated pig deaths. 237 00:14:07,485 --> 00:14:10,365 Speaker 1: You know, there was the five feral pig deaths. But 238 00:14:10,565 --> 00:14:15,165 Speaker 1: what actually is very dangerous is cattle. Okay, cattle are 239 00:14:15,205 --> 00:14:19,565 Speaker 1: actually the bad boys of the farming industry because they 240 00:14:19,565 --> 00:14:23,045 Speaker 1: account for about twenty two deaths a year. Okay, so 241 00:14:23,125 --> 00:14:25,925 Speaker 1: twenty two people die, usually from blunt force trauma of 242 00:14:25,965 --> 00:14:29,125 Speaker 1: the cattle attacking them. And there's this one study that 243 00:14:29,165 --> 00:14:31,045 Speaker 1: came out in two thousand and nine that said this 244 00:14:31,165 --> 00:14:35,645 Speaker 1: really spooky thing that it said that seventy five percent 245 00:14:35,885 --> 00:14:39,725 Speaker 1: of these cattle deaths were deliberate on the sake of 246 00:14:39,725 --> 00:14:44,485 Speaker 1: the cattle. So yeah, I mean they talked with the cattle. 247 00:14:44,805 --> 00:14:49,965 Speaker 1: Taylor loves the probably problematic, but what does it mean 248 00:14:49,965 --> 00:14:53,285 Speaker 1: to be deliberate as an animal? You know? But they 249 00:14:53,285 --> 00:14:55,685 Speaker 1: I think they mean it as like the cattle. You know, 250 00:14:55,765 --> 00:14:58,605 Speaker 1: the person was doing something whatever, but then the cattle 251 00:14:58,645 --> 00:15:00,965 Speaker 1: attacked them, as opposed to like, you know, they ran 252 00:15:01,005 --> 00:15:03,885 Speaker 1: into the cattle. I don't know. So I have a 253 00:15:03,925 --> 00:15:06,565 Speaker 1: lot of opinions and thoughts and stories on this, I 254 00:15:06,685 --> 00:15:09,805 Speaker 1: bet you do, but I will try and limit it. 255 00:15:10,565 --> 00:15:15,965 Speaker 1: Towser huge and they're not. I don't feel like I 256 00:15:15,965 --> 00:15:17,885 Speaker 1: could be attacked for this but I don't feel like 257 00:15:17,885 --> 00:15:22,005 Speaker 1: they're that smart. So you don't like they're not as 258 00:15:22,045 --> 00:15:25,165 Speaker 1: smart as pigs for sure. Yes, but I can also 259 00:15:25,245 --> 00:15:30,445 Speaker 1: tell you I had this horse and loved her, but 260 00:15:30,525 --> 00:15:34,045 Speaker 1: she hated men. And so if she was like turned 261 00:15:34,085 --> 00:15:38,045 Speaker 1: out in the pasture and there was a man in 262 00:15:38,165 --> 00:15:40,765 Speaker 1: the ring with her in the pasture with her, she 263 00:15:40,805 --> 00:15:45,605 Speaker 1: would literally chase him down and like go after him. 264 00:15:45,965 --> 00:15:49,285 Speaker 1: So I don't know, like that that could have been 265 00:15:49,285 --> 00:15:52,605 Speaker 1: some sort of trauma that she had that I don't know. Also, 266 00:15:52,685 --> 00:15:58,005 Speaker 1: mayors are a little bit moody, ladies. Mayors are so moody. 267 00:15:58,285 --> 00:16:02,325 Speaker 1: But anyway, I digress, it could be some sort of 268 00:16:02,845 --> 00:16:05,245 Speaker 1: who knows. I mean, it could have been like just 269 00:16:05,285 --> 00:16:07,965 Speaker 1: a behavioral change, because some of the examples of the 270 00:16:08,005 --> 00:16:10,685 Speaker 1: cattle was like, oh there was like there was a 271 00:16:10,685 --> 00:16:13,765 Speaker 1: cow that was always known as being aggressive a bowl specifically, 272 00:16:13,805 --> 00:16:16,485 Speaker 1: and that had attack someone while they were just like 273 00:16:16,525 --> 00:16:19,285 Speaker 1: milking another cow and then that cow just like rammed them. 274 00:16:19,365 --> 00:16:22,845 Speaker 1: Well that was exactly My next question is it was 275 00:16:22,885 --> 00:16:26,045 Speaker 1: it a dairy cow versus a beef cow, because there 276 00:16:26,085 --> 00:16:30,805 Speaker 1: are differences obviously, Well, this one was a man cow, 277 00:16:30,885 --> 00:16:34,285 Speaker 1: so he probably wasn't milk being milked. Well, no, but 278 00:16:34,365 --> 00:16:37,365 Speaker 1: you have to have them to breed them. Oh that 279 00:16:37,445 --> 00:16:40,685 Speaker 1: there's like completely separate breaths. We could go. I feel 280 00:16:40,725 --> 00:16:42,965 Speaker 1: like I'm in an interrogation. Now, I'm like, I don't know. No, 281 00:16:43,085 --> 00:16:45,845 Speaker 1: that's fine, Okay, I'm gonna I'm gonna staller in her 282 00:16:45,925 --> 00:16:50,725 Speaker 1: feminist horse to explain myself and I will take us 283 00:16:50,725 --> 00:16:54,165 Speaker 1: completely full circle back to the pigs. So I went 284 00:16:54,205 --> 00:16:56,405 Speaker 1: to college to be and I was going to be 285 00:16:56,445 --> 00:16:58,085 Speaker 1: a vet. That's what I wanted to be when I 286 00:16:58,125 --> 00:17:01,325 Speaker 1: grew up. It turns out I didn't like all of 287 00:17:01,365 --> 00:17:03,565 Speaker 1: the labs. They made me cry because I was having 288 00:17:03,605 --> 00:17:06,565 Speaker 1: to dissect all kinds of things and they made me 289 00:17:06,965 --> 00:17:08,805 Speaker 1: Oh my gosh, Oh my gosh. Have you seen the 290 00:17:08,845 --> 00:17:13,365 Speaker 1: movie Raw? No, Okay, you need to watch it, Taylor, 291 00:17:13,525 --> 00:17:16,965 Speaker 1: you need to watch it. No, anyway, keep going, but 292 00:17:17,125 --> 00:17:20,445 Speaker 1: everyone could ever if you like gruesome and but really 293 00:17:20,485 --> 00:17:23,005 Speaker 1: good filmmaking, you should watch Raw. Okay, go ahead. So 294 00:17:23,685 --> 00:17:26,365 Speaker 1: so anyway, full circle one. Do you want to hear 295 00:17:26,405 --> 00:17:31,085 Speaker 1: a fun pig fact? Yes? Sure, Um. They produce the 296 00:17:31,125 --> 00:17:36,085 Speaker 1: most sperm relative to their body type, or relative to 297 00:17:36,125 --> 00:17:43,845 Speaker 1: like the body size. So that body type, it's an 298 00:17:43,845 --> 00:17:52,645 Speaker 1: hour glass about no, no, um, it's a hundred times 299 00:17:52,725 --> 00:17:58,485 Speaker 1: that of a human. I not think I was gonna 300 00:17:58,485 --> 00:18:00,885 Speaker 1: sit down today in the afternoon with my glass of 301 00:18:00,885 --> 00:18:03,285 Speaker 1: water and listen to you guys talk about pig sperm 302 00:18:03,405 --> 00:18:07,085 Speaker 1: like that was not really in my ends today. How 303 00:18:07,125 --> 00:18:10,405 Speaker 1: could it not be in your plan? It is? That's 304 00:18:10,405 --> 00:18:13,725 Speaker 1: fair anyway, So I'm back to the pigs. Okay, Gabby, 305 00:18:13,805 --> 00:18:16,445 Speaker 1: congratulations Taylor. I'm sorry that you never got to learn 306 00:18:16,485 --> 00:18:21,365 Speaker 1: about fun animals. But anyway, so in the fearmongering, yeah, 307 00:18:21,445 --> 00:18:23,925 Speaker 1: it's the cattle who seemed to, you know, be the 308 00:18:24,005 --> 00:18:28,245 Speaker 1: more quote unquote dangerous farm animal. So watch out, you know, 309 00:18:28,765 --> 00:18:31,245 Speaker 1: if you're on near cow. Actually don't want don't even 310 00:18:31,285 --> 00:18:33,605 Speaker 1: watch out. It's not even a real risk. Okay, guys, 311 00:18:33,605 --> 00:18:39,085 Speaker 1: everything's fine. But there was like in this study they 312 00:18:39,165 --> 00:18:41,645 Speaker 1: did mention. I couldn't find any more details on this, 313 00:18:41,725 --> 00:18:44,285 Speaker 1: but there have been times where like different farm animals 314 00:18:44,325 --> 00:18:49,605 Speaker 1: have banded together to attack a person. Okay, isn't that fun? 315 00:18:50,005 --> 00:18:53,165 Speaker 1: Like a little pig and cow and goat army. Oh 316 00:18:53,205 --> 00:18:56,365 Speaker 1: my gosh, I grew up watching Have you guys seen 317 00:18:56,365 --> 00:19:01,165 Speaker 1: the movie Chicken Run? Yeah, okay, that's how I picture 318 00:19:01,205 --> 00:19:04,685 Speaker 1: any farm animal Like banding together and they did it queens. 319 00:19:04,965 --> 00:19:09,205 Speaker 1: Oh was that the claymation one? Yeah? Oh it's so scary. 320 00:19:09,405 --> 00:19:13,445 Speaker 1: It is scary for really traumatize me as a child. Um. Yeah, 321 00:19:13,485 --> 00:19:15,405 Speaker 1: I couldn't eat chicken pie for like the longest time 322 00:19:15,445 --> 00:19:17,525 Speaker 1: after I watched that. I still ate it later though, 323 00:19:17,565 --> 00:19:22,925 Speaker 1: but um, I'm horrified. Gabby, Um, watch out, but don't 324 00:19:22,965 --> 00:19:27,365 Speaker 1: actually watch out. Everything is fine. What happened to our friend? Sorry? 325 00:19:27,765 --> 00:19:30,605 Speaker 1: I mean, I know he died, but like they never 326 00:19:31,245 --> 00:19:34,125 Speaker 1: feared anything out. Where did his pigs go? Oh? Yeah, 327 00:19:34,125 --> 00:19:37,005 Speaker 1: when they do with their pigs, you know, Oh, for 328 00:19:37,125 --> 00:19:40,725 Speaker 1: your sake, Taylor. They now live in the house and 329 00:19:40,805 --> 00:19:44,485 Speaker 1: are very happy, and you know, they're strictly on a 330 00:19:44,565 --> 00:19:47,565 Speaker 1: salad diet. Because they feel bad about what they did. 331 00:19:49,205 --> 00:19:52,085 Speaker 1: They went to go live on a farm somewhere. They 332 00:19:52,125 --> 00:19:54,485 Speaker 1: went to go. They went to this special farm after that. 333 00:19:54,565 --> 00:19:56,885 Speaker 1: I don't know what happened to the pigs afterwards, because 334 00:19:56,925 --> 00:20:01,005 Speaker 1: I am bad at journalism. Oh, I didn't want I 335 00:20:01,045 --> 00:20:03,405 Speaker 1: didn't want to call up anybody be like, hey, I 336 00:20:03,485 --> 00:20:07,725 Speaker 1: saw the story from like nine years ago. Question quick 337 00:20:07,805 --> 00:20:16,725 Speaker 1: cue what happened? Oh no, all right, well Gabby, thank 338 00:20:16,765 --> 00:20:21,325 Speaker 1: you for that. I apologize for my diverting the story 339 00:20:21,405 --> 00:20:25,045 Speaker 1: to pigs Burn Taylor. We knew it was gonna happen. 340 00:20:25,445 --> 00:20:28,005 Speaker 1: We knew this episode you're going to have some fun facts. 341 00:20:28,125 --> 00:20:36,165 Speaker 1: Oh yeah, I've got more coming at you after break. Okay, 342 00:20:36,565 --> 00:20:40,685 Speaker 1: welcome back. I'm sorry if this makes you cry. But 343 00:20:41,005 --> 00:20:45,205 Speaker 1: is your pet gonna eat you? Probably? Um ooh I 344 00:20:45,285 --> 00:20:50,005 Speaker 1: love this question. Yea, So we're gonna specifically talk about 345 00:20:50,125 --> 00:20:53,485 Speaker 1: the Jimmy's, the Josie's, the kim Cheese, and the Gusses 346 00:20:53,885 --> 00:20:58,365 Speaker 1: of the world. Okay, cats and dunks, yes, aka cats 347 00:20:58,365 --> 00:21:00,645 Speaker 1: and dogs. Oh my god, what if all of our 348 00:21:00,685 --> 00:21:05,365 Speaker 1: pets got together and started a little arm they had 349 00:21:05,605 --> 00:21:09,045 Speaker 1: matching outfits. They can they can just take me. I 350 00:21:09,085 --> 00:21:13,285 Speaker 1: don't care. There's just something about like cats and dogs 351 00:21:13,325 --> 00:21:17,165 Speaker 1: holding hands and plotting evil that makes me just I 352 00:21:17,205 --> 00:21:18,845 Speaker 1: just want to give them the world. You know, we 353 00:21:18,885 --> 00:21:21,965 Speaker 1: should make an album cover of all of our pets, 354 00:21:21,965 --> 00:21:24,605 Speaker 1: just their little paws holding hands. That's what really got me, 355 00:21:24,685 --> 00:21:28,605 Speaker 1: you know the pause. Okay, well this is going to 356 00:21:28,685 --> 00:21:32,365 Speaker 1: take a very different turn. But basically, you know you've 357 00:21:32,365 --> 00:21:35,525 Speaker 1: heard stories about like when people have died and then 358 00:21:35,605 --> 00:21:40,365 Speaker 1: their cats or dogs or other pets, birds, hamsters eat 359 00:21:40,405 --> 00:21:44,005 Speaker 1: their owners. So but hamsters also eat their young sometimes, 360 00:21:44,005 --> 00:21:46,125 Speaker 1: so yeah, so that's not a surprise. Never trust a 361 00:21:46,205 --> 00:21:53,125 Speaker 1: hamster exactly. Okay, So basically the question is are dogs 362 00:21:53,245 --> 00:21:55,805 Speaker 1: or cats more likely to eat you? While there's a 363 00:21:56,005 --> 00:22:00,885 Speaker 1: question right while the answer is your dog, gus, you're 364 00:22:00,885 --> 00:22:04,365 Speaker 1: so guilty. Well it's just funny because everyone talks about 365 00:22:04,405 --> 00:22:08,405 Speaker 1: cats being so devious and dogs being so loyal. But look, 366 00:22:08,605 --> 00:22:13,045 Speaker 1: look now the dog loyally eats your body, here's what happens. 367 00:22:12,885 --> 00:22:16,165 Speaker 1: It's a real friend. Yeah, so here's what potentially happens. 368 00:22:16,205 --> 00:22:18,045 Speaker 1: We don't know this for sure because we're we are 369 00:22:18,085 --> 00:22:22,765 Speaker 1: not dogs and we are not cats in fact, but 370 00:22:23,005 --> 00:22:25,605 Speaker 1: basically cats are kind of just like lazy and like 371 00:22:25,725 --> 00:22:29,005 Speaker 1: me whatever, whereas dogs will be like, you know, if 372 00:22:29,045 --> 00:22:30,925 Speaker 1: they see something happen to their humans, say he has 373 00:22:30,925 --> 00:22:33,685 Speaker 1: a heart attack or what have you, the dog comes 374 00:22:33,725 --> 00:22:37,125 Speaker 1: over and they'll typically like lick at you or nudge 375 00:22:37,125 --> 00:22:39,725 Speaker 1: you with their nose or something like that. But if 376 00:22:39,725 --> 00:22:42,125 Speaker 1: they're not getting the reaction out of you, they get 377 00:22:42,165 --> 00:22:44,765 Speaker 1: a little bit more frantic and upset, and then they 378 00:22:44,765 --> 00:22:48,805 Speaker 1: start kind of like nibbling on you, and then it's 379 00:22:49,165 --> 00:22:54,725 Speaker 1: kind of keeps going from there. The most common areas 380 00:22:55,285 --> 00:22:58,565 Speaker 1: and this happens about twenty four percent of dogs will 381 00:22:58,605 --> 00:23:02,645 Speaker 1: beget will begin consuming their owners within twenty four hours. 382 00:23:03,125 --> 00:23:06,525 Speaker 1: That's upsetting. I know you're upsetting people right now. I 383 00:23:06,605 --> 00:23:12,765 Speaker 1: know no people are upset. But here's the face because exactly, okay, 384 00:23:12,805 --> 00:23:16,285 Speaker 1: go ahead, exactly. So the thing is is they get 385 00:23:16,325 --> 00:23:19,045 Speaker 1: frantic and like dogs that have like anxiety and like 386 00:23:19,085 --> 00:23:21,885 Speaker 1: separation anxiety are thought to be worse about this. So 387 00:23:22,005 --> 00:23:24,445 Speaker 1: Gus would definitely consume me quickly, I guess. But he's 388 00:23:24,485 --> 00:23:28,685 Speaker 1: so little, he has so little spawl and cute and sweet. 389 00:23:29,205 --> 00:23:31,325 Speaker 1: You'd only eat like half your face, I think, yeah, 390 00:23:31,445 --> 00:23:33,085 Speaker 1: but a lot of it. That's in other things. It 391 00:23:33,125 --> 00:23:35,965 Speaker 1: depends on how much, like how big the dog is, 392 00:23:36,005 --> 00:23:39,725 Speaker 1: Like a little chihuahua, they would eat everything. Who are 393 00:23:39,725 --> 00:23:44,245 Speaker 1: you kidding? That's true, like little or dogs aren't capable 394 00:23:44,325 --> 00:23:46,605 Speaker 1: of eating quite as much because they're smaller. But there 395 00:23:46,685 --> 00:23:50,285 Speaker 1: was actually an instance where this dog, despite even having 396 00:23:50,405 --> 00:23:54,245 Speaker 1: food readily available in his bowl, he still consumed his 397 00:23:54,325 --> 00:23:58,445 Speaker 1: owner or like begin so and they typically, like I said, 398 00:23:58,485 --> 00:24:00,765 Speaker 1: go for your face or like your hands, feet, like 399 00:24:00,805 --> 00:24:02,845 Speaker 1: extremity is they don't like straight up go for your 400 00:24:02,885 --> 00:24:06,045 Speaker 1: torso so they're just like that kind of like further 401 00:24:06,285 --> 00:24:09,005 Speaker 1: indicates that they're perhaps just like trying to wake you 402 00:24:09,125 --> 00:24:12,365 Speaker 1: up and like get you, get you moving and grooven, 403 00:24:12,525 --> 00:24:15,525 Speaker 1: but sadly so how traumatic for the dog. This is 404 00:24:15,805 --> 00:24:19,405 Speaker 1: an our cat. The cat typically doesn't there. They don't 405 00:24:19,405 --> 00:24:22,045 Speaker 1: really even care that much. They're just like men whatever, 406 00:24:22,085 --> 00:24:25,005 Speaker 1: they don't notice. And my other in this I didn't 407 00:24:25,045 --> 00:24:27,765 Speaker 1: find anywhere. But I am just also guessing that cats 408 00:24:27,765 --> 00:24:31,485 Speaker 1: are a little bit more self sufficient than dogs. Like 409 00:24:31,965 --> 00:24:34,005 Speaker 1: cats can light their escape artists, they can get out. 410 00:24:34,045 --> 00:24:35,965 Speaker 1: They could find a way to get out or get 411 00:24:35,965 --> 00:24:38,925 Speaker 1: a mice or squirrels or whatever, and so they could 412 00:24:38,925 --> 00:24:42,405 Speaker 1: still I feel like, be okay, but little little Gussie 413 00:24:42,485 --> 00:24:50,165 Speaker 1: still needs me, you know, even after death. Yeah, I mean, 414 00:24:50,405 --> 00:24:53,445 Speaker 1: I feel like you've done something wrong if you die 415 00:24:53,605 --> 00:24:57,565 Speaker 1: and your dog doesn't eat you. I honestly, honestly, you 416 00:24:57,605 --> 00:25:02,885 Speaker 1: didn't foster our codependent relationship with your dog, loser, So insummation, 417 00:25:03,885 --> 00:25:08,565 Speaker 1: dogs will very like we eat you. Doesn't matter how 418 00:25:08,605 --> 00:25:10,965 Speaker 1: close you are, how sweet they are, how well trained 419 00:25:11,005 --> 00:25:15,485 Speaker 1: they are. Um, it's really just because they love you. Um, 420 00:25:15,565 --> 00:25:19,005 Speaker 1: there we go, all right. Nika changed the subject to 421 00:25:19,125 --> 00:25:23,845 Speaker 1: a slightly different talk. Okay, Okay, well I think I'm 422 00:25:23,885 --> 00:25:26,885 Speaker 1: gonna make this better because we're going to the Roaring twenties. 423 00:25:27,045 --> 00:25:34,005 Speaker 1: Love that fun, the current twenties, the Crying twenties. Yeah 424 00:25:34,005 --> 00:25:36,125 Speaker 1: that this is not this is the crying twenties. We're 425 00:25:36,125 --> 00:25:38,725 Speaker 1: going to the Roaring twenties. Okay, the nineteen twenties. This 426 00:25:38,765 --> 00:25:43,965 Speaker 1: story is horse adjacent, horse themed, so obviously shout out 427 00:25:44,005 --> 00:25:47,805 Speaker 1: to Taylor like a horse girl, Taylor Titty Church. Yes 428 00:25:47,925 --> 00:25:52,365 Speaker 1: that is her equestrian name. Okay, I did. I did 429 00:25:52,365 --> 00:25:56,005 Speaker 1: write this in my outline. Do I sound natural? Okay? 430 00:25:56,525 --> 00:26:00,005 Speaker 1: Yea off the cough. That was really good, thank you. 431 00:26:00,365 --> 00:26:03,565 Speaker 1: I'm so off the half. Okay. So we're going to 432 00:26:03,645 --> 00:26:08,885 Speaker 1: meet this guy. Exciting um. His name's Frank Hayes. Okay. 433 00:26:09,165 --> 00:26:12,525 Speaker 1: He was a twenty two year old Irish American, you know, 434 00:26:13,165 --> 00:26:16,605 Speaker 1: good immigrant and blood, all of that good stuff. Hard worker. 435 00:26:17,125 --> 00:26:19,765 Speaker 1: He was making his way in New York. You know. 436 00:26:20,205 --> 00:26:23,405 Speaker 1: He was working as a stableman, which is basically someone 437 00:26:23,445 --> 00:26:26,525 Speaker 1: who tends to horses, and in this case he was 438 00:26:26,565 --> 00:26:31,245 Speaker 1: like stable. He was no quite not actually he was 439 00:26:31,365 --> 00:26:35,125 Speaker 1: probably struggling a little bit. And he also trained them sometimes, 440 00:26:35,205 --> 00:26:38,285 Speaker 1: and he was very good at his job. But he 441 00:26:38,725 --> 00:26:42,485 Speaker 1: was ambitious, as all Irish Americans in the twenties in 442 00:26:42,525 --> 00:26:48,245 Speaker 1: New York are am I right, beta boom but a boom? Wait? 443 00:26:48,685 --> 00:26:51,525 Speaker 1: Is that a stereotype about Irish pr is it about 444 00:26:51,645 --> 00:26:55,685 Speaker 1: how they're drunk? Wait? I don't get you just saying that. Oh. 445 00:26:55,725 --> 00:26:58,125 Speaker 1: I was saying, they're ambitious, they want to work hard. 446 00:26:58,205 --> 00:27:03,165 Speaker 1: We're immigrants, you know they Oh yeah, potatoes? Oh my god. Anyway, 447 00:27:03,685 --> 00:27:07,965 Speaker 1: you know, I'm so sorry. Sorry, Okay, I hate one. 448 00:27:08,005 --> 00:27:11,565 Speaker 1: White people are like I've been discriminated against. I am Irish. 449 00:27:11,645 --> 00:27:19,605 Speaker 1: I'm like, shut the fuck up. Can where's my gold? Oh? 450 00:27:20,405 --> 00:27:23,645 Speaker 1: That was offensive? No, why do you ask me to 451 00:27:23,725 --> 00:27:25,405 Speaker 1: do a consense if you know I'm going to do 452 00:27:25,445 --> 00:27:28,405 Speaker 1: a bad job because we want you to alienate more 453 00:27:28,445 --> 00:27:33,085 Speaker 1: of our listeners. Oh my god. Okay. Anyway, So he 454 00:27:33,525 --> 00:27:35,885 Speaker 1: was working real hard as you know. Oh, and he 455 00:27:35,965 --> 00:27:38,805 Speaker 1: had his ambitions of becoming a jockey. That's what he 456 00:27:38,885 --> 00:27:43,365 Speaker 1: wanted to do. So finally, on June fourth, nineteen twenty three, 457 00:27:43,565 --> 00:27:47,805 Speaker 1: in New York's Belmont Park, he got his chance. This woman, 458 00:27:48,005 --> 00:27:54,125 Speaker 1: miss am Freeling, wanted her horse named sweet Kiss. Okay, 459 00:27:54,645 --> 00:27:57,565 Speaker 1: I have feelings about horse names. It was only Sweet Kiss. 460 00:27:57,885 --> 00:28:01,365 Speaker 1: Aren't there names supposed to be like the whole, like 461 00:28:01,565 --> 00:28:03,805 Speaker 1: at least a minute long to say each of them. 462 00:28:03,805 --> 00:28:06,285 Speaker 1: I feel I don't know. I feel like any horse 463 00:28:06,325 --> 00:28:10,325 Speaker 1: that I've met has always been named something like a unicorn. 464 00:28:10,485 --> 00:28:17,085 Speaker 1: P sweet Kids' kids aren't even freaking yeah, Taylor's feminist horse, 465 00:28:17,205 --> 00:28:20,645 Speaker 1: whispers of Moonlight. Um, who the fuck? I don't even 466 00:28:20,645 --> 00:28:23,045 Speaker 1: know how you would call that? Hey, hey, whispers of 467 00:28:23,885 --> 00:28:27,245 Speaker 1: They had a stable name and a show name. What 468 00:28:27,445 --> 00:28:34,125 Speaker 1: was Moonlight's stable name? Um, whispers or Princess? Okay, anyway, 469 00:28:35,085 --> 00:28:37,725 Speaker 1: my name is Whispers of Moonlight. But I go by Princess. 470 00:28:40,405 --> 00:28:44,725 Speaker 1: Oh that is fascinating and beautiful. Um, I cannot relate 471 00:28:44,805 --> 00:28:49,325 Speaker 1: lovingly Taylor. But okay, Um, so asked, and I told 472 00:28:49,765 --> 00:28:51,445 Speaker 1: you know, and then thank you for telling, Thank you 473 00:28:51,485 --> 00:28:55,085 Speaker 1: for telling. So she was looking for a jockey, um, 474 00:28:55,125 --> 00:28:57,405 Speaker 1: and she was obviously having trouble finding a first rate 475 00:28:57,485 --> 00:29:03,085 Speaker 1: jockey at such short notice procrastinators. Am I right? Okay? So? Um. 476 00:29:03,125 --> 00:29:06,285 Speaker 1: She knew Frank because he had trained Sweet Kiss in races, 477 00:29:06,725 --> 00:29:09,685 Speaker 1: and she was like, hey, I know you have ambitions 478 00:29:09,685 --> 00:29:12,245 Speaker 1: of being a jockey. Why don't you try to you know, 479 00:29:12,405 --> 00:29:15,685 Speaker 1: this specific race with Sweet Kiss. He jumped at the 480 00:29:15,685 --> 00:29:18,685 Speaker 1: opportunity and then she was like, wait, you're one hundred 481 00:29:18,685 --> 00:29:20,645 Speaker 1: and forty two pounds. You're not going to make the cut. 482 00:29:20,725 --> 00:29:23,085 Speaker 1: Never mind. He was like, no, no, no no, no, I'll 483 00:29:23,085 --> 00:29:26,245 Speaker 1: lose the weight. I'll qualify, it'll be great. She was like, okay, 484 00:29:26,285 --> 00:29:28,325 Speaker 1: I guess, so, how skinny do you have to be 485 00:29:28,405 --> 00:29:32,045 Speaker 1: to be a jockey? Max is one thirty pounds. So, 486 00:29:32,845 --> 00:29:35,285 Speaker 1: and it was on short notice, but obviously this was 487 00:29:35,325 --> 00:29:37,725 Speaker 1: a big deal and no one really believed in him. 488 00:29:37,725 --> 00:29:41,085 Speaker 1: They were like that, boy, hey, he's like young in 489 00:29:41,325 --> 00:29:43,645 Speaker 1: it don't matter, you know what I mean. Like the 490 00:29:43,685 --> 00:29:47,565 Speaker 1: way people won't talk in New York. Um, so sorry, 491 00:29:48,445 --> 00:29:51,125 Speaker 1: nineteen twenties in New York accent I cannot do. I 492 00:29:51,125 --> 00:29:53,765 Speaker 1: can't do any accent actually okay. So it was just 493 00:29:53,765 --> 00:30:04,565 Speaker 1: as intends to disagree. Oh oh, it's understandable. So no 494 00:30:04,605 --> 00:30:07,845 Speaker 1: one believed in him, you know, classism, odds were against him. 495 00:30:07,845 --> 00:30:10,605 Speaker 1: He had never won a race, he had never raced 496 00:30:10,605 --> 00:30:13,125 Speaker 1: a race before. But he quickly got his ship together. 497 00:30:13,205 --> 00:30:17,125 Speaker 1: He trained harder than ever before. Okay, rocky theme song, 498 00:30:17,445 --> 00:30:19,365 Speaker 1: and then he had to go, obviously on a very 499 00:30:19,405 --> 00:30:22,925 Speaker 1: strict diet to meet the requirements needed to race. Now, 500 00:30:23,005 --> 00:30:25,885 Speaker 1: I didn't know this, Um, it kind of actually shocked me. 501 00:30:25,925 --> 00:30:28,925 Speaker 1: But in the nineteen twenties and thirties, most jockeys, as 502 00:30:28,925 --> 00:30:31,765 Speaker 1: I recently said, could not be over one thirty pounds, 503 00:30:31,765 --> 00:30:34,885 Speaker 1: and the ideal weight, it seems, was like one hundred 504 00:30:34,885 --> 00:30:38,565 Speaker 1: and ten pounds. That is very small. I have not been, 505 00:30:38,925 --> 00:30:41,245 Speaker 1: you know, around one hundred pounds since I was like twelve. 506 00:30:41,485 --> 00:30:43,445 Speaker 1: Just my thighs I think are one hundred pounds, and 507 00:30:44,165 --> 00:30:45,965 Speaker 1: they were very strict about it, like if you were 508 00:30:46,005 --> 00:30:48,925 Speaker 1: even a little bit over, you could not race, period. 509 00:30:49,205 --> 00:30:52,125 Speaker 1: And I read recently that the Kentucky Derby requires jockeys 510 00:30:52,165 --> 00:30:54,325 Speaker 1: to be less than one hundred and twenty six pounds 511 00:30:54,645 --> 00:30:58,285 Speaker 1: and there's a height requirement to it there. I didn't 512 00:30:58,325 --> 00:31:00,085 Speaker 1: read that there was a hype requirement, but that most 513 00:31:00,165 --> 00:31:03,205 Speaker 1: jockeys are short because even though there's not a hype requirement, 514 00:31:03,245 --> 00:31:07,485 Speaker 1: you have to be very very small, lean thin. I 515 00:31:07,525 --> 00:31:10,845 Speaker 1: mean literally, that's like that's like the average size of 516 00:31:11,005 --> 00:31:12,925 Speaker 1: I don't know, like a preteen like I just that's 517 00:31:12,925 --> 00:31:16,685 Speaker 1: just bananas to meum, and like a tiny ballerina. I 518 00:31:16,725 --> 00:31:21,765 Speaker 1: mean literally, it's like the same kind of you know restrictions. Okay, yes, 519 00:31:22,005 --> 00:31:30,645 Speaker 1: Gus is Gus a jockey, He's never seen a horse continue. 520 00:31:31,165 --> 00:31:35,805 Speaker 1: Oh what he would lose? His whispers of moonlight is 521 00:31:35,805 --> 00:31:41,005 Speaker 1: that you let's band against Taylor. Um okay, So that 522 00:31:41,485 --> 00:31:44,885 Speaker 1: has obviously caused a lot of body image issues and 523 00:31:44,925 --> 00:31:48,485 Speaker 1: eating disorders and jockeys. Apparently. I read that there was 524 00:31:48,485 --> 00:31:51,525 Speaker 1: these there were these things called heaving bowls, which were 525 00:31:51,685 --> 00:31:54,565 Speaker 1: porcelain bowls that would be in the jockeys rooms. Um, 526 00:31:54,645 --> 00:31:57,325 Speaker 1: so they could throw up before a race, or after 527 00:31:57,365 --> 00:32:00,445 Speaker 1: they ate, or before stepping on this scale. And then 528 00:32:00,445 --> 00:32:03,045 Speaker 1: these were taken away only ten years ago at the 529 00:32:03,085 --> 00:32:06,645 Speaker 1: track where like the Kentucky Derby happens, which is extremely recent, 530 00:32:06,765 --> 00:32:09,005 Speaker 1: and just took me by surprise, Like I was like, oh, 531 00:32:09,045 --> 00:32:15,645 Speaker 1: this is really yeah. Were you like good, like happy 532 00:32:15,685 --> 00:32:18,325 Speaker 1: about them taking that away or were you like, no, 533 00:32:19,965 --> 00:32:22,645 Speaker 1: that's not you know, that's not stopping anyone. Unfortunately, I 534 00:32:22,725 --> 00:32:25,085 Speaker 1: know it's Yeah. I read an interview they were like 535 00:32:25,125 --> 00:32:28,045 Speaker 1: toilet bows bowls still exists bowls. Where the fuck did 536 00:32:28,045 --> 00:32:32,645 Speaker 1: that come from? Yes? Well, anyway, so Frank was obviously 537 00:32:32,765 --> 00:32:36,525 Speaker 1: training hard and losing weight and um, oh my gosh. 538 00:32:36,565 --> 00:32:38,485 Speaker 1: I also read that some jockeys stick to a diet 539 00:32:38,485 --> 00:32:41,045 Speaker 1: of less than six hundred calories per day, which is 540 00:32:41,085 --> 00:32:42,845 Speaker 1: kind of what he was doing as well. Again, that 541 00:32:42,965 --> 00:32:46,885 Speaker 1: is very unhealthy and unsafe. That is not the safe 542 00:32:46,885 --> 00:32:49,725 Speaker 1: way of losing weight. So he was doing all of 543 00:32:49,725 --> 00:32:52,165 Speaker 1: these things to prepare for his debut, and he made 544 00:32:52,165 --> 00:32:55,045 Speaker 1: it happen. He got to one hundred and thirty pounds, 545 00:32:55,765 --> 00:32:58,605 Speaker 1: just barely, but got there. And when he entered the 546 00:32:58,685 --> 00:33:01,085 Speaker 1: jockeys room, all these jockeys were like surprised at how 547 00:33:01,085 --> 00:33:03,085 Speaker 1: excited he was, and we're surprised that he had even 548 00:33:03,125 --> 00:33:05,725 Speaker 1: made the cut. And as he waited at the starting post, 549 00:33:05,805 --> 00:33:08,885 Speaker 1: he was heard saying to his fellow jockeys, I'm not 550 00:33:08,925 --> 00:33:11,005 Speaker 1: gonna do an accepts gonna say it. Today's a good 551 00:33:11,085 --> 00:33:14,325 Speaker 1: day to make history. So oh my gosh, like he's, 552 00:33:14,485 --> 00:33:16,205 Speaker 1: you know, doing his dream. And it seems like he 553 00:33:16,245 --> 00:33:19,005 Speaker 1: was a really good trainer. Ano there was a crowd favorite. 554 00:33:19,245 --> 00:33:22,405 Speaker 1: His name was Gimmy again like no long horse name. 555 00:33:22,725 --> 00:33:24,845 Speaker 1: I don't know. Maybe I had to get long because 556 00:33:24,845 --> 00:33:28,285 Speaker 1: all of them got taken. Okay, well that makes more sense. 557 00:33:28,325 --> 00:33:30,845 Speaker 1: Does every horse name have to be totally unique? I 558 00:33:30,885 --> 00:33:34,765 Speaker 1: mean they're registered. Yeah, Okay, I don't know that. I 559 00:33:34,805 --> 00:33:36,405 Speaker 1: mean not every horse name, you know what I mean, 560 00:33:36,445 --> 00:33:38,285 Speaker 1: like if they're going to be racing or whatever, if 561 00:33:38,285 --> 00:33:42,685 Speaker 1: they're like or competing, then yeah, okay that makes sense. Wow, 562 00:33:42,845 --> 00:33:46,405 Speaker 1: that's amazing. Well, this horse's name was Gimmey and he 563 00:33:46,445 --> 00:33:49,085 Speaker 1: had been killing it lately. Everyone was betting on this horse. 564 00:33:49,165 --> 00:33:51,485 Speaker 1: He was like the prize horse, right. But when the 565 00:33:51,485 --> 00:33:54,405 Speaker 1: shot went off and the horses started racing, Sweet Kiss 566 00:33:54,525 --> 00:34:00,045 Speaker 1: was in the lead. Okay, sweet Kiss, I know him now. 567 00:34:00,125 --> 00:34:03,725 Speaker 1: It was a two mile course with twelve jumps, and 568 00:34:03,925 --> 00:34:07,285 Speaker 1: Haze and Sweet Kiss were doing the damn thing. It 569 00:34:07,365 --> 00:34:11,245 Speaker 1: was impressive and professional and graceful. People rose to their 570 00:34:11,285 --> 00:34:17,405 Speaker 1: feet as he beat Gimme and crossed the finish line first. Yeah, yeah, 571 00:34:17,405 --> 00:34:20,605 Speaker 1: he won. It's amazing now it had been I know, yes, 572 00:34:20,965 --> 00:34:23,845 Speaker 1: now he had been looking like m Hayes was whispering 573 00:34:23,885 --> 00:34:26,965 Speaker 1: into Sweet Kiss his ear as he raced because he 574 00:34:27,045 --> 00:34:29,365 Speaker 1: was like slumped over on the horse, and everyone was like, 575 00:34:29,365 --> 00:34:31,965 Speaker 1: oh my gosh, the bond between horse and man like 576 00:34:32,085 --> 00:34:35,445 Speaker 1: so beautiful. And then um the horse kept racing a 577 00:34:35,485 --> 00:34:37,365 Speaker 1: little bit and then stopped about one hundred yards after 578 00:34:37,445 --> 00:34:40,725 Speaker 1: crossing the finish line. And as Misfrailing ran down to 579 00:34:40,765 --> 00:34:46,805 Speaker 1: congratulate Frank, he fell off the horse face first. No oh. 580 00:34:47,485 --> 00:34:50,405 Speaker 1: A physician ran up to him, took his pulse and 581 00:34:50,485 --> 00:34:57,685 Speaker 1: declared him dead. Oh my goodness, well we are on 582 00:34:57,765 --> 00:35:00,325 Speaker 1: good DA regals. So it seems like he had a 583 00:35:00,365 --> 00:35:04,245 Speaker 1: heart attack mid race and managed to stay in the saddle. 584 00:35:04,445 --> 00:35:07,885 Speaker 1: And when that is so impressive, it's insane. It's hard 585 00:35:08,005 --> 00:35:10,965 Speaker 1: enough to stay in the saddle when you're trying to 586 00:35:11,005 --> 00:35:14,165 Speaker 1: stay in the saddle. Yeah, but when your body gives up, 587 00:35:14,605 --> 00:35:17,165 Speaker 1: you know, his body said, let's give him this one 588 00:35:17,245 --> 00:35:20,685 Speaker 1: last thing. So he's the only person to ever win 589 00:35:20,765 --> 00:35:26,085 Speaker 1: a sporting event wild dead, yeah, I mean yeah. And 590 00:35:26,125 --> 00:35:29,205 Speaker 1: then Sweet Kiss got a really bad reputation because jockey's 591 00:35:29,245 --> 00:35:31,245 Speaker 1: it seems like jockey's tend to be a little superstitious. 592 00:35:31,605 --> 00:35:34,085 Speaker 1: So she was actually given the name sweet Kiss of Death. 593 00:35:34,165 --> 00:35:37,365 Speaker 1: And she never wrote again. And then Hayes was buried 594 00:35:37,445 --> 00:35:40,045 Speaker 1: three days later with the writing silks that he wore 595 00:35:40,445 --> 00:35:45,845 Speaker 1: in his first and only race. I mean, that is 596 00:35:45,885 --> 00:35:49,085 Speaker 1: so sad, But at the same time, like early retirement, 597 00:35:49,165 --> 00:35:54,205 Speaker 1: that's okay for her. Oh you're talking at the horse, yeah, 598 00:35:54,245 --> 00:35:57,565 Speaker 1: But like also dying as wine yeah, it seems like 599 00:35:58,325 --> 00:36:00,285 Speaker 1: they think it was probably a heart attack that kind 600 00:36:00,285 --> 00:36:02,325 Speaker 1: of came on from. At first, they were like, oh, 601 00:36:02,325 --> 00:36:04,525 Speaker 1: it's the excitement of the race, but then they realized 602 00:36:04,525 --> 00:36:08,485 Speaker 1: he was like starving himself and super dehydrated and like 603 00:36:08,965 --> 00:36:12,005 Speaker 1: overworked to get to the weight that he needed to 604 00:36:12,005 --> 00:36:16,325 Speaker 1: to race, and that's what caused his death. That's so sad, 605 00:36:16,365 --> 00:36:19,965 Speaker 1: but I mean, yeah, yeah, you have to take care 606 00:36:19,965 --> 00:36:23,885 Speaker 1: of yourself. People. How are you going to follow your 607 00:36:23,925 --> 00:36:28,365 Speaker 1: dreams if you're dead? You know exactly? Anyway, Yes, shall 608 00:36:28,445 --> 00:36:30,365 Speaker 1: we take a break and come back so I can 609 00:36:30,405 --> 00:36:35,685 Speaker 1: talk more about horses? Yeah, okay, oh of course, all right, 610 00:36:35,805 --> 00:36:40,645 Speaker 1: welcome back. Um Nika just told us about this story 611 00:36:40,845 --> 00:36:45,285 Speaker 1: about the jockey who sadly died while riding a horse. 612 00:36:45,645 --> 00:36:48,645 Speaker 1: But at least he was doing what he loved and 613 00:36:48,725 --> 00:36:53,245 Speaker 1: he was still a winner winner chicken dinner. Speaking of 614 00:36:53,405 --> 00:37:01,085 Speaker 1: chicken dinner, horse dinner. Whoa wow, Wow, I just feeling 615 00:37:01,205 --> 00:37:04,805 Speaker 1: sassy when I wrote this. Okay, so we're gonna talk 616 00:37:04,885 --> 00:37:09,045 Speaker 1: some horses facts, which we love. That for me, as 617 00:37:09,045 --> 00:37:12,565 Speaker 1: we all probably know, horses or herbivores, meaning they eat 618 00:37:12,605 --> 00:37:16,685 Speaker 1: what we think of as like grains, grasses, salt, and 619 00:37:16,725 --> 00:37:21,045 Speaker 1: minerals and some fruits and vegetables. Their stomach is meant 620 00:37:21,125 --> 00:37:24,285 Speaker 1: to handle all of that stuff, but they do. And 621 00:37:24,325 --> 00:37:28,085 Speaker 1: their mouths have canines canine teeth, which you know, they're 622 00:37:28,125 --> 00:37:30,565 Speaker 1: like cats and dogs, and those are like sarper teeth 623 00:37:30,605 --> 00:37:34,885 Speaker 1: meant to rip flush. Canines are so hot in people. 624 00:37:35,285 --> 00:37:39,045 Speaker 1: Oh do you like mine? They're honestly my favorite part 625 00:37:39,085 --> 00:37:43,005 Speaker 1: of anyone's smile. If someone has like pronounced canines, I'm like, oh, 626 00:37:43,045 --> 00:37:46,005 Speaker 1: my good. You know cabults, see your canines. I think 627 00:37:46,045 --> 00:37:49,085 Speaker 1: mine are kind of flat at this point because they're 628 00:37:49,085 --> 00:37:51,245 Speaker 1: not very sharp. They've been ripping a lot of flesh. 629 00:37:52,205 --> 00:37:56,005 Speaker 1: I just ripping a lot of flesh, and I am exhausted. 630 00:37:56,325 --> 00:38:00,965 Speaker 1: I love vampires. Okay, so horses don't really rip flush obviously, 631 00:38:01,325 --> 00:38:03,765 Speaker 1: But don't get me wrong. There are some little punks 632 00:38:03,765 --> 00:38:07,045 Speaker 1: out there who like to buy you. But they're not 633 00:38:07,085 --> 00:38:09,125 Speaker 1: gonna they're not trying to like tear your skin and 634 00:38:09,485 --> 00:38:12,925 Speaker 1: consume you, just biting for fun. They just are like 635 00:38:13,365 --> 00:38:16,525 Speaker 1: sometimes they're just like punks and they're just like they 636 00:38:16,565 --> 00:38:20,685 Speaker 1: just like to nip at you. Anyway. So horses are 637 00:38:20,725 --> 00:38:24,285 Speaker 1: always chilling and pastures, pastures, grazing they're like chewing all 638 00:38:24,285 --> 00:38:27,125 Speaker 1: of the time. It is basically a habit. So like 639 00:38:27,165 --> 00:38:29,285 Speaker 1: when you're sitting there and your horses and like say 640 00:38:29,325 --> 00:38:31,245 Speaker 1: you're sitting there and you're like eating a hamburger like 641 00:38:31,325 --> 00:38:34,165 Speaker 1: chicken wings or something, and the horses sitting there, like, 642 00:38:34,205 --> 00:38:36,165 Speaker 1: I mean, he might take a bite, and so that's 643 00:38:36,245 --> 00:38:39,925 Speaker 1: meat and that's weird. Okay, So horses stomachs are really 644 00:38:39,965 --> 00:38:44,165 Speaker 1: meant for like grains and plant matter and whatnot, not 645 00:38:44,245 --> 00:38:46,405 Speaker 1: really for meat. But it's like somewhere and it's like 646 00:38:46,445 --> 00:38:49,045 Speaker 1: somewhere in between, so and theory it can handle it. However, 647 00:38:49,445 --> 00:38:52,245 Speaker 1: meat is not good for horses. They like, meat can 648 00:38:52,405 --> 00:38:55,645 Speaker 1: go bad pretty quickly, and horses can't throw up, so 649 00:38:55,685 --> 00:38:58,485 Speaker 1: if they were to get sick right then they cannot 650 00:38:58,925 --> 00:39:02,165 Speaker 1: get that out and so they would pretty quickly get 651 00:39:02,205 --> 00:39:06,005 Speaker 1: sick and if not treated, they would die. So they 652 00:39:06,045 --> 00:39:08,765 Speaker 1: can't throw up. No, can you imagine if they did? 653 00:39:09,045 --> 00:39:12,005 Speaker 1: That would be horrifying. I mean, I've seen a horse 654 00:39:12,085 --> 00:39:15,605 Speaker 1: turd before, and I don't like that a horse turd. 655 00:39:17,485 --> 00:39:21,965 Speaker 1: I was saying turd as a verb. It dirted. Okay, 656 00:39:22,685 --> 00:39:25,845 Speaker 1: Oh wait, I am disgusted by both of you right now. Okay, 657 00:39:25,925 --> 00:39:29,165 Speaker 1: continue Okay, well all of this has been just to 658 00:39:29,285 --> 00:39:34,245 Speaker 1: put off talking about horses actually eating meat. Um, there 659 00:39:34,245 --> 00:39:37,645 Speaker 1: have been instances long ago, like the early nineteen hundreds. 660 00:39:38,005 --> 00:39:40,165 Speaker 1: There was this guy and who was like traveling in 661 00:39:40,205 --> 00:39:45,005 Speaker 1: the South Pole. His name was Ernest Shackleton's m I think, yeah, 662 00:39:45,165 --> 00:39:47,525 Speaker 1: a fancy man, and he had a pony named Socks. 663 00:39:48,005 --> 00:39:51,405 Speaker 1: And so they're in the south Socks. Socks is my 664 00:39:51,765 --> 00:39:55,365 Speaker 1: grandparents dog's name. That's cute. That is cute. But yeah, 665 00:39:55,405 --> 00:39:58,165 Speaker 1: so Socks, like they're in the South Pole. There's there's 666 00:39:58,245 --> 00:40:01,525 Speaker 1: nothing for there's no grass, there is like no point matter, 667 00:40:02,365 --> 00:40:08,005 Speaker 1: there's only meat. So Socks shares the same diet as 668 00:40:08,565 --> 00:40:11,925 Speaker 1: Sir Ernest Shackleton's, so like that he's kind of that's 669 00:40:11,965 --> 00:40:14,445 Speaker 1: like the most popular horse out there that has been 670 00:40:14,485 --> 00:40:17,365 Speaker 1: known to eat meat. But it turns out he did. Okay, 671 00:40:17,525 --> 00:40:20,525 Speaker 1: so wait, that was a lot of information. So they 672 00:40:20,565 --> 00:40:22,605 Speaker 1: went to the South Pole and they didn't have any 673 00:40:22,645 --> 00:40:24,765 Speaker 1: other food that they just yeah, so they just the 674 00:40:24,805 --> 00:40:27,045 Speaker 1: horse the pony eat meat. Yeah, and the horse we 675 00:40:27,165 --> 00:40:29,525 Speaker 1: kind of became famous as like the meat eating horse, 676 00:40:29,565 --> 00:40:33,165 Speaker 1: which was just like a weird thing. Okay, again, fun 677 00:40:33,285 --> 00:40:40,365 Speaker 1: trick putting off this story about the horse of luck Now. Okay, 678 00:40:40,805 --> 00:40:46,565 Speaker 1: so in the eighteen hundreds there was apparently a horse 679 00:40:46,605 --> 00:40:50,965 Speaker 1: that went on a murderous rampage. Oh okay, here we go, 680 00:40:51,205 --> 00:40:55,645 Speaker 1: Ernest's horse. Horse? Is that Ernest horse? No, no, no, no, 681 00:40:55,685 --> 00:40:57,605 Speaker 1: this is a different not socks. Okay, that was just 682 00:40:57,645 --> 00:40:59,765 Speaker 1: a fun little fact about that one horse that ate 683 00:40:59,845 --> 00:41:04,245 Speaker 1: some meat. This is about a murderous horse. And so 684 00:41:04,365 --> 00:41:07,085 Speaker 1: this one day, these two English guys come riding up 685 00:41:07,125 --> 00:41:10,405 Speaker 1: into luck Now with their like in their wagon, and 686 00:41:10,485 --> 00:41:13,405 Speaker 1: the town was completely deserted. There was like no one 687 00:41:13,445 --> 00:41:16,085 Speaker 1: in sight, and they're like, what's going on here? This 688 00:41:16,165 --> 00:41:19,605 Speaker 1: is like really really weird. And then they like see 689 00:41:19,645 --> 00:41:21,445 Speaker 1: a little bit of blood, See a little bit more 690 00:41:21,485 --> 00:41:23,325 Speaker 1: blood over here, see a little bit more over there. 691 00:41:23,565 --> 00:41:27,285 Speaker 1: They see a corpse. Here, they see a corpse. They're like, yeah, 692 00:41:30,725 --> 00:41:33,845 Speaker 1: everywhere's a corpse. Corpse. Yeah, And like their faces had 693 00:41:33,885 --> 00:41:37,365 Speaker 1: been like they were not looking good. They were like 694 00:41:37,565 --> 00:41:43,085 Speaker 1: trampled and just just bad. Um oh basically god skincare 695 00:41:43,325 --> 00:41:46,165 Speaker 1: basically just a blood bath. And then they come up 696 00:41:46,165 --> 00:41:49,365 Speaker 1: on these two dudes and the British guys are like, um, hey, 697 00:41:49,445 --> 00:41:52,245 Speaker 1: what's going on? And they're like the man eater is 698 00:41:52,325 --> 00:41:56,325 Speaker 1: loose and the man eater is what is this horse 699 00:41:56,365 --> 00:41:58,165 Speaker 1: that they referred to. They referred to him as the 700 00:41:58,165 --> 00:42:01,245 Speaker 1: man eater because he was literally like a man eating horse. 701 00:42:01,965 --> 00:42:06,605 Speaker 1: So the man eater was a based out in bay 702 00:42:06,725 --> 00:42:09,805 Speaker 1: means that they're brown with black legs and black maid 703 00:42:09,845 --> 00:42:15,805 Speaker 1: and tail stallion, meaning he was a Mican. So typically 704 00:42:15,885 --> 00:42:20,965 Speaker 1: horses have a fight or flight instinct and usually they 705 00:42:21,045 --> 00:42:24,885 Speaker 1: choose to piece out, but not this one. So at 706 00:42:25,005 --> 00:42:28,885 Speaker 1: some point they see the horse and he has a 707 00:42:29,005 --> 00:42:35,565 Speaker 1: child in his mouth. Oh no, yeah, really bad. But 708 00:42:35,885 --> 00:42:39,765 Speaker 1: why why what's wrong with this horse? You don't know. 709 00:42:40,285 --> 00:42:42,725 Speaker 1: Did the British dude see the horse? Yes, they did, 710 00:42:42,765 --> 00:42:45,285 Speaker 1: they could, that's and then they saw they saw him 711 00:42:45,285 --> 00:42:49,085 Speaker 1: with the child child in his mouth, so they're like, 712 00:42:49,285 --> 00:42:54,805 Speaker 1: oh no, this is really bad. So eventually they catch him. 713 00:42:54,845 --> 00:42:57,365 Speaker 1: They kind of like corral. Also, their horses that were 714 00:42:57,405 --> 00:43:00,165 Speaker 1: pulling the wagon were like huh no, no, we're not 715 00:43:00,245 --> 00:43:02,365 Speaker 1: messing with those horse. This is this is too much. 716 00:43:03,045 --> 00:43:07,405 Speaker 1: But eventually they catch him and they king was like, oh, 717 00:43:07,405 --> 00:43:10,325 Speaker 1: this is some great entertainment, Like this horse is Nutso 718 00:43:11,445 --> 00:43:15,045 Speaker 1: this horse is nuts, so I mean he was, let's 719 00:43:15,045 --> 00:43:17,125 Speaker 1: be real, he was Okay, he had killed like a 720 00:43:17,165 --> 00:43:20,925 Speaker 1: bunch of people. I mean, like, oh, this horse killed 721 00:43:20,925 --> 00:43:25,325 Speaker 1: a bunch of people. What fun? Well? Yes, so well. 722 00:43:25,605 --> 00:43:29,605 Speaker 1: Also side note, the horse had like blood dripping from 723 00:43:29,605 --> 00:43:32,645 Speaker 1: its face and like had blood all over it from 724 00:43:32,685 --> 00:43:35,765 Speaker 1: just like all of the people that had killed. Oh no. 725 00:43:36,085 --> 00:43:38,565 Speaker 1: So anyway, the king was like this horse, like, we 726 00:43:38,605 --> 00:43:40,325 Speaker 1: need to like make some money off of this horse, 727 00:43:40,365 --> 00:43:42,925 Speaker 1: and we need to like exploit them for entertainment. Right, 728 00:43:43,685 --> 00:43:46,405 Speaker 1: So they decided to do what they used to do 729 00:43:46,445 --> 00:43:51,125 Speaker 1: in ancient room at the Colosseum, and they pit this 730 00:43:51,125 --> 00:43:53,845 Speaker 1: This is where animal cruelty comes in. So if you 731 00:43:54,325 --> 00:43:57,405 Speaker 1: don't like that, you know, I agree. But this I'm 732 00:43:57,445 --> 00:43:59,765 Speaker 1: just telling you the facts. Okay, Yeah, none of us 733 00:43:59,925 --> 00:44:02,285 Speaker 1: like it. But if it's like an active trigger for you, 734 00:44:02,325 --> 00:44:05,765 Speaker 1: then piece out do the do the flight and don't 735 00:44:05,805 --> 00:44:08,965 Speaker 1: fight us. Just flight like most other horses. Don't be 736 00:44:09,005 --> 00:44:12,645 Speaker 1: like the man eater. Yeah, be like a horse. So 737 00:44:12,685 --> 00:44:16,125 Speaker 1: we're all man eaters technically yea. So I won't go 738 00:44:16,125 --> 00:44:18,765 Speaker 1: into too much detail, but here's what I'll say. They 739 00:44:18,845 --> 00:44:23,365 Speaker 1: pitted this horse up against a tiger, and oh no, 740 00:44:24,245 --> 00:44:26,965 Speaker 1: why would they do that? The tiger is gonna kill 741 00:44:26,965 --> 00:44:33,245 Speaker 1: the horse. Obviously obviously not what. The horse kicks the 742 00:44:33,245 --> 00:44:37,205 Speaker 1: tiger in the face, breaking his jaw, and the tiger's like, 743 00:44:37,565 --> 00:44:39,885 Speaker 1: I mean the tiger didn't die, he's fine, and he 744 00:44:39,965 --> 00:44:42,365 Speaker 1: was like he still he still likes him. Not fine, 745 00:44:42,445 --> 00:44:45,125 Speaker 1: but yeah, but he did break his jaw, and he's like, 746 00:44:45,525 --> 00:44:48,205 Speaker 1: I know, I'm not messing with that horse. So then 747 00:44:48,205 --> 00:44:51,685 Speaker 1: you get another tiger, same thing. Tiger's like, I don't 748 00:44:51,685 --> 00:44:54,645 Speaker 1: even want to mess with this horse, like, didn't even try, 749 00:44:54,965 --> 00:44:56,925 Speaker 1: and the horse was like, yeah, I already already took 750 00:44:56,925 --> 00:44:59,725 Speaker 1: one one down. I don't need to do another. So 751 00:44:59,845 --> 00:45:02,765 Speaker 1: what happened to the man eater? I mean they did 752 00:45:02,765 --> 00:45:04,885 Speaker 1: that for a little while, but they realized the horse 753 00:45:04,925 --> 00:45:06,565 Speaker 1: was going to win single time, and they didn't want 754 00:45:06,605 --> 00:45:08,365 Speaker 1: to be like getting rid of all their tigers. I 755 00:45:08,365 --> 00:45:11,685 Speaker 1: don't really know. They need their tigers for other things. 756 00:45:11,685 --> 00:45:14,405 Speaker 1: I suppose, so he just like lived to old age 757 00:45:14,405 --> 00:45:17,085 Speaker 1: and then passed away peacefully. That's what I would like. 758 00:45:17,725 --> 00:45:21,485 Speaker 1: His castle with the pigs from the previous story. It 759 00:45:21,645 --> 00:45:23,565 Speaker 1: was no. I didn't read where they like put him 760 00:45:23,605 --> 00:45:26,205 Speaker 1: down or anything. They were just like, yeah, I mean, 761 00:45:26,245 --> 00:45:28,525 Speaker 1: he's this kind of crazy ass horse that we all 762 00:45:29,005 --> 00:45:32,885 Speaker 1: deal with. Yet they put her Rambe down. Wow. Yeah, 763 00:45:33,005 --> 00:45:36,405 Speaker 1: it's rude. There's something there's a lesson there or something. Yeah, 764 00:45:36,445 --> 00:45:40,245 Speaker 1: there's some sort of lesson. Listener think about it back 765 00:45:40,285 --> 00:45:44,485 Speaker 1: with a lesson of these stories. Yeah, please don't. Actually, yeah, 766 00:45:44,525 --> 00:45:47,165 Speaker 1: I don't think I want to relive this conversation now. Yeah. 767 00:45:47,205 --> 00:45:49,565 Speaker 1: I feel like it's also crazy that the horse exists 768 00:45:49,605 --> 00:45:51,565 Speaker 1: in the first place, because, like when they're saying the 769 00:45:51,605 --> 00:45:54,685 Speaker 1: man eating horses loose, it's kind of like, well, it's 770 00:45:54,725 --> 00:45:57,765 Speaker 1: already stomped on a man, so it's amazing that I 771 00:45:57,805 --> 00:46:01,285 Speaker 1: was still around. They're like, yeah, it even already killed people, 772 00:46:01,365 --> 00:46:03,965 Speaker 1: so we just still have it. And then it rampaged 773 00:46:04,045 --> 00:46:08,845 Speaker 1: in this town the same thing. I mean seemingly like today, 774 00:46:10,165 --> 00:46:12,445 Speaker 1: I can't even talk about it. It's too hard. Ye. 775 00:46:12,725 --> 00:46:15,045 Speaker 1: So anyway, this is we're not going to til We're 776 00:46:15,045 --> 00:46:16,445 Speaker 1: not going to make you cry. We're not going to 777 00:46:16,525 --> 00:46:20,085 Speaker 1: make you cry today. No, not today, not about this 778 00:46:20,205 --> 00:46:25,165 Speaker 1: at least other things. Sure, So okay, when next question? 779 00:46:25,645 --> 00:46:28,885 Speaker 1: When can I take y'all horseback riding with me? Literally 780 00:46:28,925 --> 00:46:31,045 Speaker 1: as soon as possible? Okay, but like maybe when it's 781 00:46:31,085 --> 00:46:32,605 Speaker 1: less hot. I was actually so I was going to 782 00:46:32,725 --> 00:46:35,045 Speaker 1: ride this Sunday, and then I was like, it's really 783 00:46:35,085 --> 00:46:37,085 Speaker 1: hot because you have to like, well you don't have to, 784 00:46:37,205 --> 00:46:40,365 Speaker 1: but you should wear pants instead of like shorts and 785 00:46:40,565 --> 00:46:43,645 Speaker 1: boots close to shoes. Like it's just hot, you know, yeah, 786 00:46:43,725 --> 00:46:45,445 Speaker 1: because I was going to wear a body suit. What 787 00:46:45,445 --> 00:46:48,485 Speaker 1: are you talking about? No? Literally, the moment fall hits, 788 00:46:48,965 --> 00:46:51,045 Speaker 1: I'm there, okay, put me on, put me on coach, 789 00:46:51,085 --> 00:46:52,965 Speaker 1: you know. Yeah? Can we get like an apple and 790 00:46:53,045 --> 00:46:56,565 Speaker 1: feed it to the horse. Yes, they love apples. Yeah, 791 00:46:56,605 --> 00:46:58,925 Speaker 1: I know, I've seen it in the movies. They love 792 00:46:58,925 --> 00:47:01,445 Speaker 1: apples and carrots and all kinds of things. But yes, 793 00:47:01,525 --> 00:47:05,725 Speaker 1: thank you for another listening to this episode. Um, if 794 00:47:05,725 --> 00:47:09,405 Speaker 1: you've made it this far, Um, talk at you next week. 795 00:47:18,165 --> 00:47:25,765 Speaker 1: Kildargal kid Avergawls is a production of School of Humans 796 00:47:25,765 --> 00:47:29,845 Speaker 1: and iHeartRadio. It's hosted, produced, mixed, researched, et cetera by 797 00:47:29,885 --> 00:47:32,725 Speaker 1: Gabby Watts, Nika Darte, and Taylor Church. If you can 798 00:47:32,765 --> 00:47:35,965 Speaker 1: follow us on Instagram and Twitter at kid Avergals, leave 799 00:47:36,045 --> 00:47:37,805 Speaker 1: us a comment, but only if it's good for our 800 00:47:37,845 --> 00:47:38,405 Speaker 1: mental health.