1 00:00:09,200 --> 00:00:11,800 Speaker 1: Hello, and welcome to save your prediction of iHeartRadio. I'm 2 00:00:11,800 --> 00:00:12,840 Speaker 1: Annie Resil and I'm. 3 00:00:12,720 --> 00:00:15,360 Speaker 2: Lauren Vogelbaum, and today we have an episode for you 4 00:00:15,520 --> 00:00:17,200 Speaker 2: about white tailed deer. 5 00:00:18,720 --> 00:00:20,440 Speaker 1: And what an episode it is. 6 00:00:20,840 --> 00:00:24,840 Speaker 2: Oh yeah, I mean, as always, you never know where 7 00:00:24,840 --> 00:00:28,800 Speaker 2: the reading is going to take you, and our animal 8 00:00:28,800 --> 00:00:31,160 Speaker 2: episodes are always a little bit strange to begin with, 9 00:00:31,440 --> 00:00:35,320 Speaker 2: because I'm like, check out the amazing biology of this creature. 10 00:00:35,400 --> 00:00:42,680 Speaker 2: It's also tasty, and yeah, I am also personally very 11 00:00:42,800 --> 00:00:43,800 Speaker 2: creeped out by deer. 12 00:00:45,800 --> 00:00:48,520 Speaker 1: This is true, so perhaps it's appropriate for the time 13 00:00:49,200 --> 00:00:52,920 Speaker 1: you and I had, which the time if you're not 14 00:00:53,000 --> 00:00:56,320 Speaker 1: listening to it when it comes out is October. You 15 00:00:56,360 --> 00:01:02,000 Speaker 1: and I had a conversation about de you in horror 16 00:01:02,040 --> 00:01:06,720 Speaker 1: movies and horror movies do love using deer? The Ring 17 00:01:06,800 --> 00:01:12,640 Speaker 1: two comes to minds Uh, recently, leave the whole world behind. 18 00:01:13,440 --> 00:01:15,080 Speaker 1: I had a whole deer thing. 19 00:01:16,280 --> 00:01:20,440 Speaker 2: Yeah, it's there. It's their dead eyes, like a doll's eyes. 20 00:01:23,240 --> 00:01:26,160 Speaker 1: Yeah. And they're big, Like, yeah, they're big. 21 00:01:26,200 --> 00:01:28,360 Speaker 2: That's that's my thing. It's I'm not okay, I'm not 22 00:01:28,440 --> 00:01:30,680 Speaker 2: scared of deer the way I'm scared of like, I 23 00:01:31,480 --> 00:01:33,800 Speaker 2: don't know, like like like worms with teeth or something 24 00:01:33,840 --> 00:01:35,880 Speaker 2: like that. It's just that deer are real. They are 25 00:01:35,920 --> 00:01:40,680 Speaker 2: in my backyard. They're bigger than me, and they and 26 00:01:40,680 --> 00:01:44,720 Speaker 2: and and if they so chose, they could absolutely trample 27 00:01:44,800 --> 00:01:51,720 Speaker 2: me to death easily, easily, Yeah, and quickly. They move fast. 28 00:01:51,800 --> 00:01:55,320 Speaker 2: They're big, and they move fast, and they've got big ol' hooves, 29 00:01:55,680 --> 00:01:58,400 Speaker 2: and they don't really want me to be there, like 30 00:01:58,520 --> 00:02:00,640 Speaker 2: they were here first and they know it. 31 00:02:01,800 --> 00:02:08,120 Speaker 1: Yeah, they do. That's a lesson from the ring too. 32 00:02:10,360 --> 00:02:14,040 Speaker 1: They also move erradically. I feel like I had a 33 00:02:14,040 --> 00:02:20,160 Speaker 1: lot of deer growing up in semi rural Georgia in 34 00:02:20,600 --> 00:02:23,079 Speaker 1: her backyards, and there was a constant war with my 35 00:02:23,120 --> 00:02:26,560 Speaker 1: mom and the deer and her sure, yeah, yeah, but 36 00:02:26,600 --> 00:02:29,160 Speaker 1: they would they would come into our yard, just a 37 00:02:29,200 --> 00:02:34,120 Speaker 1: bunch of them, and I would be out and about 38 00:02:34,160 --> 00:02:36,840 Speaker 1: maybe running or doing something in the yard, and I 39 00:02:36,880 --> 00:02:41,560 Speaker 1: would just they would just make these movements where I'm like, I'm. 40 00:02:40,600 --> 00:02:42,240 Speaker 2: Not sure what you're going to do next. 41 00:02:43,400 --> 00:02:46,480 Speaker 1: Yeah, I'm trying to like stay in my lane here, 42 00:02:46,560 --> 00:02:48,720 Speaker 1: but I don't know where your lane is going. 43 00:02:48,919 --> 00:02:50,680 Speaker 2: Yeah, I don't know if you have a lane. I 44 00:02:50,680 --> 00:02:56,800 Speaker 2: don't know where they consider lanes to be I yeah, yeah, 45 00:02:57,160 --> 00:02:58,840 Speaker 2: I might have mentioned it on the show before the 46 00:02:58,840 --> 00:03:00,720 Speaker 2: house that I bought, that the property backs up to 47 00:03:00,919 --> 00:03:04,680 Speaker 2: some Georgia power lines. And so I've got like I've 48 00:03:04,680 --> 00:03:06,480 Speaker 2: got like a tiny little bit out of like like 49 00:03:06,520 --> 00:03:09,519 Speaker 2: fifty yards or something between me and the backyards of 50 00:03:09,560 --> 00:03:11,519 Speaker 2: the next street over. And in that space there's like 51 00:03:11,600 --> 00:03:13,960 Speaker 2: a tree line and like a little crik that runs through, 52 00:03:14,440 --> 00:03:16,680 Speaker 2: and yeah, so we get deer. And there's in particular 53 00:03:16,840 --> 00:03:20,400 Speaker 2: this like girl gang of deer that just owns that 54 00:03:20,400 --> 00:03:24,240 Speaker 2: that creek and yeah, and like one of them is 55 00:03:24,280 --> 00:03:30,400 Speaker 2: like a big old lady, and yeah she is. She 56 00:03:30,520 --> 00:03:32,760 Speaker 2: was in my front yard once when I came home 57 00:03:33,080 --> 00:03:36,160 Speaker 2: and like and like the like the like lyft driver 58 00:03:36,320 --> 00:03:39,360 Speaker 2: was dropping me off and like this deer was standing 59 00:03:39,400 --> 00:03:41,960 Speaker 2: between me and the front door, and I was like 60 00:03:42,000 --> 00:03:43,720 Speaker 2: I'm not getting out of the car, Like this is 61 00:03:43,760 --> 00:03:46,400 Speaker 2: your problem now, too, dude, Like this, like what are 62 00:03:46,400 --> 00:03:47,640 Speaker 2: we doing about this deer? 63 00:03:50,480 --> 00:03:58,080 Speaker 1: We've got to go up with the plow. I think 64 00:03:58,120 --> 00:03:59,840 Speaker 1: I got out of the car like in my driveway 65 00:04:00,160 --> 00:04:01,440 Speaker 1: of area and was sort of like. 66 00:04:01,600 --> 00:04:05,560 Speaker 2: Hi, ma'am, I'm just I just want to go to 67 00:04:05,680 --> 00:04:07,800 Speaker 2: my could would you like to leave. 68 00:04:09,920 --> 00:04:10,280 Speaker 1: Please? 69 00:04:10,920 --> 00:04:14,400 Speaker 2: Maybe it's kind of like quietly and like with my 70 00:04:14,480 --> 00:04:15,080 Speaker 2: hands up. 71 00:04:18,080 --> 00:04:20,200 Speaker 1: Yeah, she did. She did leave. 72 00:04:20,279 --> 00:04:22,359 Speaker 2: She she like sort of like like like looked me 73 00:04:22,440 --> 00:04:25,320 Speaker 2: up and down and was like, eh. 74 00:04:25,400 --> 00:04:31,200 Speaker 1: Yeah, she's got other things to do with her girl 75 00:04:31,279 --> 00:04:32,880 Speaker 1: game here. 76 00:04:32,960 --> 00:04:38,000 Speaker 2: Right, gosh, And and now, okay, So I was trying 77 00:04:38,040 --> 00:04:39,400 Speaker 2: to think of I was trying to think of it 78 00:04:39,400 --> 00:04:43,120 Speaker 2: whether I was creeped out by deer before before this 79 00:04:43,200 --> 00:04:46,080 Speaker 2: next reference or not. But when I was a teen, 80 00:04:47,360 --> 00:04:51,000 Speaker 2: I read a lot of horror, like like teen horror books, 81 00:04:51,000 --> 00:04:53,800 Speaker 2: and Carolyn B. Cooney was one of my favorite teen 82 00:04:53,839 --> 00:04:56,800 Speaker 2: horror authors. And she had a short story called Where 83 00:04:56,839 --> 00:05:00,479 Speaker 2: the Deer Are. And I'm trying to think whether my 84 00:05:00,560 --> 00:05:04,800 Speaker 2: fear of my deer fear goes back beyond that or not. 85 00:05:06,120 --> 00:05:08,080 Speaker 2: I'm pretty sure it does, because again, like they're big 86 00:05:09,040 --> 00:05:11,200 Speaker 2: slightly onto deer fear. 87 00:05:12,120 --> 00:05:17,560 Speaker 1: Gosh. Anyway, anyway, Yes, I know I've told this story before, 88 00:05:17,640 --> 00:05:24,360 Speaker 1: but I lived very close to what who I will 89 00:05:24,360 --> 00:05:30,560 Speaker 1: call survivalist, and he he did hunt deer and he 90 00:05:30,920 --> 00:05:33,440 Speaker 1: kind of taught me about it, not really but kind of. 91 00:05:34,200 --> 00:05:38,640 Speaker 1: But living in the area that I lived, you could 92 00:05:38,640 --> 00:05:42,799 Speaker 1: get venison from people who hunted deer, and you could 93 00:05:44,200 --> 00:05:51,520 Speaker 1: also get like dear heart, I remember, yeah, And it 94 00:05:51,600 --> 00:05:54,960 Speaker 1: was one of those things where I was never bothered 95 00:05:54,960 --> 00:05:57,719 Speaker 1: by it, but it did scare me in terms of 96 00:05:57,839 --> 00:06:01,480 Speaker 1: I would hear gunshots near my head because people were 97 00:06:01,600 --> 00:06:05,280 Speaker 1: hunting deer. But it just scared because I could go 98 00:06:05,360 --> 00:06:08,680 Speaker 1: in the woods a lot as a kid. Yeah, and 99 00:06:08,720 --> 00:06:12,240 Speaker 1: so I was always a little worried about about that. 100 00:06:12,560 --> 00:06:17,080 Speaker 1: Then I did see some hunters passed out with beer 101 00:06:17,160 --> 00:06:22,160 Speaker 1: cans around them, which is not a comforting sign at all. No, no, 102 00:06:23,279 --> 00:06:29,120 Speaker 1: But but I have had venison and a couple of 103 00:06:29,120 --> 00:06:33,240 Speaker 1: parts of deer mostly through that. I think. 104 00:06:34,680 --> 00:06:39,040 Speaker 2: I think I've I think I've only ever had venison 105 00:06:40,000 --> 00:06:44,760 Speaker 2: like on a relatively fancy restaurant menu, mm hmm. And 106 00:06:44,800 --> 00:06:46,480 Speaker 2: those are going to those are kind of the two 107 00:06:46,520 --> 00:06:48,440 Speaker 2: places that you get it in the United States. 108 00:06:48,520 --> 00:06:51,760 Speaker 1: Yep. Yeah, which we are going to talk about. We're 109 00:06:51,760 --> 00:06:54,800 Speaker 1: also going to go into a little bit more of 110 00:06:54,839 --> 00:07:01,560 Speaker 1: the horror that I'm excited to share. But hey, yeah, 111 00:07:01,640 --> 00:07:06,200 Speaker 1: I guess that brings us to our question. Sure, white 112 00:07:06,279 --> 00:07:11,040 Speaker 1: tailed deer, what are they? 113 00:07:11,600 --> 00:07:14,800 Speaker 2: Well? White tailed deer are a type of big game 114 00:07:14,880 --> 00:07:19,280 Speaker 2: land mammal that live in mostly like sparse forest areas 115 00:07:19,320 --> 00:07:22,480 Speaker 2: of temperate North America. They can be farm raised, but 116 00:07:22,480 --> 00:07:25,880 Speaker 2: they're more often harvested wild. They are popular with big 117 00:07:25,920 --> 00:07:29,880 Speaker 2: game hunters because they're abundant, they're kind of wily. The 118 00:07:29,920 --> 00:07:33,160 Speaker 2: male deer grow these beautiful antlers. They're high as useful, 119 00:07:33,240 --> 00:07:37,360 Speaker 2: and their meat is tasty. This type of venison is 120 00:07:37,360 --> 00:07:41,040 Speaker 2: a lot leaner than, for example, beef, and often with 121 00:07:41,160 --> 00:07:44,480 Speaker 2: a sort of like rich, tangy gamy flavor to it 122 00:07:44,600 --> 00:07:48,480 Speaker 2: and a really deep burgundy red color. When it's really pretty, 123 00:07:49,720 --> 00:07:51,920 Speaker 2: like other red meats, it will brown and can go 124 00:07:51,960 --> 00:07:54,680 Speaker 2: a little bit gray even as it cooks. The flavor 125 00:07:54,720 --> 00:07:57,840 Speaker 2: stands up well to other strong or rich or pike 126 00:07:57,920 --> 00:08:00,520 Speaker 2: in flavors, but it's also nice on its own. You 127 00:08:00,520 --> 00:08:02,960 Speaker 2: can get venison steaks or chops that you would cook 128 00:08:03,080 --> 00:08:06,360 Speaker 2: much like any other steak or chop, but most cuts 129 00:08:06,600 --> 00:08:08,920 Speaker 2: really benefit from like a low and slow sort of 130 00:08:08,960 --> 00:08:12,320 Speaker 2: preparation in a smoker or a stew, or like a 131 00:08:12,360 --> 00:08:15,800 Speaker 2: braized sort of situation. But yeah, people use white tailed 132 00:08:15,880 --> 00:08:20,480 Speaker 2: venison cuts to make burgers or a sobuco or roasts 133 00:08:20,560 --> 00:08:22,160 Speaker 2: or sausages, jerky. 134 00:08:22,360 --> 00:08:23,320 Speaker 1: They use the awful. 135 00:08:24,200 --> 00:08:28,520 Speaker 2: It's it's a lean, flavorful red meat. It is so 136 00:08:29,400 --> 00:08:34,640 Speaker 2: earthy and yet so extravagant at the same time, because 137 00:08:34,640 --> 00:08:38,959 Speaker 2: it tends to be just really tender and eating it, 138 00:08:39,960 --> 00:08:43,360 Speaker 2: eating it feels like a gift and a bounty. 139 00:08:45,280 --> 00:08:48,640 Speaker 1: Yeah. Yeah, it reminds me of a lot of the 140 00:08:48,840 --> 00:08:54,360 Speaker 1: like fictional episodes we've done when we talk about where 141 00:08:54,400 --> 00:08:57,600 Speaker 1: they just they describe like the bounties at the forest, 142 00:08:57,720 --> 00:09:03,480 Speaker 1: and I feel like, yeah, venison frequent frequently shows up 143 00:09:03,520 --> 00:09:04,160 Speaker 1: on those men. 144 00:09:04,679 --> 00:09:09,679 Speaker 2: Oh absolutely, Yeah, Oh so good. It's so good, And 145 00:09:09,960 --> 00:09:11,720 Speaker 2: I feel like it really is such a great like, 146 00:09:11,720 --> 00:09:13,160 Speaker 2: like it goes well with a lot of those kind 147 00:09:13,200 --> 00:09:15,679 Speaker 2: of fall flavors, those sort of rich like the like 148 00:09:15,720 --> 00:09:18,000 Speaker 2: the red wine and the turnips and all that kind 149 00:09:18,040 --> 00:09:22,240 Speaker 2: of stuff. Yeah, okay, okay, all right, hungry for things 150 00:09:22,320 --> 00:09:24,360 Speaker 2: I don't have access to at the very moment. Here 151 00:09:24,440 --> 00:09:28,319 Speaker 2: we go, all right. The white tailed deer is a 152 00:09:28,520 --> 00:09:32,960 Speaker 2: species in the Servidae or deer family. Their short, thick 153 00:09:33,080 --> 00:09:35,959 Speaker 2: fur is mostly reddish brown in the summer and grayish 154 00:09:36,000 --> 00:09:38,880 Speaker 2: brown in the winter, with white on their bellies, around 155 00:09:38,920 --> 00:09:41,240 Speaker 2: their eyes and snout and the tufts of their ears 156 00:09:41,800 --> 00:09:44,400 Speaker 2: and on the underside of their tails, which have about 157 00:09:44,440 --> 00:09:46,080 Speaker 2: the span of like a large human hand. 158 00:09:46,240 --> 00:09:46,560 Speaker 1: I guess. 159 00:09:47,240 --> 00:09:49,880 Speaker 2: They will raise that tail up, showing the white when 160 00:09:49,880 --> 00:09:54,360 Speaker 2: they're alert or excited, hence the name. They can live 161 00:09:54,559 --> 00:09:57,880 Speaker 2: to about fifteen years in the wild, although most don't 162 00:09:57,880 --> 00:10:00,920 Speaker 2: make it, passed around five on On average, they grow 163 00:10:01,040 --> 00:10:04,440 Speaker 2: to about five feet long about as tall to the head, 164 00:10:04,920 --> 00:10:07,679 Speaker 2: though older animals can grow bigger, and male deer or 165 00:10:07,800 --> 00:10:10,760 Speaker 2: bucks will be larger than the female deer or dough. 166 00:10:11,800 --> 00:10:15,079 Speaker 2: On average, they weigh some one hundred pounds that's forty 167 00:10:15,120 --> 00:10:17,280 Speaker 2: five kilos, though they can weigh up to about three 168 00:10:17,400 --> 00:10:20,800 Speaker 2: hundred pounds that's one hundred and thirty five kilos, and 169 00:10:20,920 --> 00:10:23,599 Speaker 2: that will yield about fifty pounds of meat or a 170 00:10:23,640 --> 00:10:27,720 Speaker 2: little bit over twenty kilos. They mate in the late 171 00:10:27,840 --> 00:10:30,559 Speaker 2: fall to early winter, and does give birth about six 172 00:10:30,640 --> 00:10:32,760 Speaker 2: and a half months later, usually in May or June. 173 00:10:33,400 --> 00:10:36,320 Speaker 2: The fawns are born able to walk and can forage 174 00:10:36,320 --> 00:10:37,880 Speaker 2: on their own after a couple months, but will stay 175 00:10:37,920 --> 00:10:40,240 Speaker 2: with their mother for a year or two. The bucks 176 00:10:40,240 --> 00:10:43,440 Speaker 2: will often range out earlier than the dos. The fawns 177 00:10:43,480 --> 00:10:46,360 Speaker 2: do have adorable white spots across their backs. Like Bambi. 178 00:10:47,240 --> 00:10:51,440 Speaker 2: They tend to live in potentially large groups of females 179 00:10:51,480 --> 00:10:55,959 Speaker 2: in their fawns and then smaller groups of males. The 180 00:10:56,040 --> 00:10:59,319 Speaker 2: male deer grow antlers that are made of bone in 181 00:10:59,520 --> 00:11:02,040 Speaker 2: the spring of every year, with a layer of thin 182 00:11:02,200 --> 00:11:06,439 Speaker 2: skin and short fur covering and feeding that bone. They'll 183 00:11:06,559 --> 00:11:09,520 Speaker 2: lose that velvet as it's called in the fall, then 184 00:11:10,040 --> 00:11:13,480 Speaker 2: use those antlers to fight for mating dominance with other 185 00:11:13,600 --> 00:11:18,360 Speaker 2: males in the late fall to early winter, then lose 186 00:11:18,440 --> 00:11:21,560 Speaker 2: the antlers in the later winter and grow new ones 187 00:11:21,720 --> 00:11:24,800 Speaker 2: in the spring. Every year. The set that they grow 188 00:11:24,920 --> 00:11:29,760 Speaker 2: will be larger with more prongs or points. They are 189 00:11:29,960 --> 00:11:33,680 Speaker 2: powerful creatures, capable of running over thirty miles an hour 190 00:11:34,120 --> 00:11:37,520 Speaker 2: that's forty eight kilometers an hour. They can jump about 191 00:11:37,559 --> 00:11:40,120 Speaker 2: eight feet straight up that's two and a half meters, 192 00:11:40,760 --> 00:11:45,520 Speaker 2: and about thirty feet horizontally that's about ten meters. That's fine, 193 00:11:45,679 --> 00:11:46,360 Speaker 2: I'm fine with that. 194 00:11:47,720 --> 00:11:50,480 Speaker 1: Wow, I can get it, dear. 195 00:11:50,720 --> 00:11:54,520 Speaker 2: I mean right, I mean certainly, the like four foot 196 00:11:54,760 --> 00:11:58,280 Speaker 2: fences out back they have no problem with. They're just 197 00:11:58,360 --> 00:11:59,800 Speaker 2: like bloop right over the. 198 00:12:01,200 --> 00:12:04,480 Speaker 1: Right over, no problem, little Jedi deer. Yeah. 199 00:12:07,880 --> 00:12:11,439 Speaker 2: They are also highly adaptable to different environments and can 200 00:12:11,520 --> 00:12:14,679 Speaker 2: eat pretty much any type of plant life because they 201 00:12:14,760 --> 00:12:18,000 Speaker 2: are ruminants with a four chambered stomach that specializes in 202 00:12:18,120 --> 00:12:22,520 Speaker 2: breaking down all kinds of tough vegetation. Their natural habitat 203 00:12:22,679 --> 00:12:25,760 Speaker 2: ranges from like central Canada down through the United States 204 00:12:25,800 --> 00:12:28,520 Speaker 2: and Mexico and Central America as far south as like 205 00:12:28,640 --> 00:12:32,400 Speaker 2: Bolivia and parts of Peru, and they can survive in 206 00:12:32,600 --> 00:12:39,240 Speaker 2: anything from like subarctic to suburban conditions. A female deer 207 00:12:39,480 --> 00:12:43,520 Speaker 2: will typically reproduce with one to two fonnds every year. 208 00:12:44,480 --> 00:12:47,920 Speaker 2: In really good conditions, the population of white tailed deer 209 00:12:48,000 --> 00:12:52,800 Speaker 2: can increase by eighty nine percent year over year, which 210 00:12:52,920 --> 00:12:56,640 Speaker 2: means that a the population can stand up to harvesting, 211 00:12:57,080 --> 00:13:00,520 Speaker 2: and b if you don't do that, it can be 212 00:13:00,600 --> 00:13:04,800 Speaker 2: a problem. In some areas of the United States at 213 00:13:04,880 --> 00:13:09,120 Speaker 2: some times it has been a problem. This occurs when 214 00:13:09,160 --> 00:13:13,760 Speaker 2: the deer population is so large and the human encroachment 215 00:13:13,880 --> 00:13:16,920 Speaker 2: on their natural habitat is so intense that there are 216 00:13:17,360 --> 00:13:20,079 Speaker 2: a lot of deer around human settlements, and so you 217 00:13:20,200 --> 00:13:23,559 Speaker 2: wind up with collisions with vehicles and a lot of 218 00:13:23,720 --> 00:13:27,640 Speaker 2: damage to landscaping and gardens because they're eating everything, and 219 00:13:28,040 --> 00:13:32,000 Speaker 2: the spread of disease due to a number of factors 220 00:13:32,360 --> 00:13:37,160 Speaker 2: that humans have absolutely caused. To be clear, it is 221 00:13:37,360 --> 00:13:40,439 Speaker 2: like kind of important that people hunt deer in a 222 00:13:40,480 --> 00:13:41,280 Speaker 2: lot of parts. 223 00:13:41,040 --> 00:13:41,960 Speaker 1: Of the United States. 224 00:13:44,760 --> 00:13:49,280 Speaker 2: And yeah, as with any large, large mammal, there are 225 00:13:49,440 --> 00:13:51,040 Speaker 2: a lot of different cuts of meat that you can 226 00:13:51,080 --> 00:13:53,320 Speaker 2: get off of a deer, which can go to any 227 00:13:53,400 --> 00:13:55,320 Speaker 2: number of tasty, tasty purposes. 228 00:13:56,960 --> 00:14:02,120 Speaker 1: Yes, well, speaking of what about the nutrition. 229 00:14:02,480 --> 00:14:05,839 Speaker 2: Again, white tailed deer venison is much leaner than beef. 230 00:14:06,720 --> 00:14:08,439 Speaker 2: It has a good punch of protein and a good 231 00:14:08,440 --> 00:14:12,520 Speaker 2: spread of micronutrients. I would say, paarrot with a fat 232 00:14:12,720 --> 00:14:14,960 Speaker 2: to help keep you going. That's also going to be delicious. 233 00:14:15,559 --> 00:14:22,280 Speaker 2: Eat a vegetable those are also delicious. Yeah. Yeah. Health Wise, 234 00:14:22,360 --> 00:14:26,840 Speaker 2: there is some concern about prion diseases spreading from large 235 00:14:26,920 --> 00:14:30,680 Speaker 2: ruminants to humans. It seems highly unlikely to be a 236 00:14:30,800 --> 00:14:35,000 Speaker 2: danger from white tailed deer to humans, but hunters are 237 00:14:35,040 --> 00:14:39,040 Speaker 2: nonetheless urged to use caution when killing and butchering wild 238 00:14:39,200 --> 00:14:41,920 Speaker 2: game like white tailed deer as so do not interact 239 00:14:41,960 --> 00:14:44,840 Speaker 2: with any brain tissue or spinal fluid, just to be sure, 240 00:14:45,600 --> 00:14:47,720 Speaker 2: and also to always use caution around animals that are 241 00:14:47,760 --> 00:14:51,520 Speaker 2: acting strangely good rule with them. Mad cow and related 242 00:14:51,560 --> 00:14:54,560 Speaker 2: prion diseases are a separate episode, but wanted to touch 243 00:14:54,600 --> 00:14:58,920 Speaker 2: on that here. There have been do not eat advisories 244 00:14:59,000 --> 00:15:03,280 Speaker 2: issued four whitetail deer in some places around the US 245 00:15:04,080 --> 00:15:09,080 Speaker 2: following testing for uptake of pollutants in those populations that 246 00:15:09,240 --> 00:15:15,760 Speaker 2: are near industrial and municipal sources of said pollutants. Yep, 247 00:15:15,960 --> 00:15:19,600 Speaker 2: check with your local game and or fish and or 248 00:15:19,720 --> 00:15:22,080 Speaker 2: wildlife department for more on that. If you have a 249 00:15:22,200 --> 00:15:25,480 Speaker 2: hunting license, you should be doing that anyway, hunt responsibly. 250 00:15:26,880 --> 00:15:30,000 Speaker 2: And yeah, as a consumer, like as with any food 251 00:15:30,600 --> 00:15:34,000 Speaker 2: and probably especially any protein, you know, try to source 252 00:15:34,160 --> 00:15:36,720 Speaker 2: venison from a place that you trust when possible. 253 00:15:37,680 --> 00:15:42,520 Speaker 1: Yes, yeah, absolutely, yeah, Well we do have some numbers 254 00:15:42,560 --> 00:15:43,520 Speaker 1: for you, we do. 255 00:15:43,760 --> 00:15:47,360 Speaker 2: Okay, So today there are an estimated thirty million ish 256 00:15:47,960 --> 00:15:53,120 Speaker 2: wild whitetailed deer in the US. About ten million hunters 257 00:15:53,240 --> 00:15:58,040 Speaker 2: here harvest about six million deer per year. And I 258 00:15:58,120 --> 00:16:01,440 Speaker 2: love how much that rhymes. I'm sorry. That accounts for 259 00:16:01,560 --> 00:16:05,400 Speaker 2: about three hundred and thirty thousand tons of meat, and 260 00:16:05,480 --> 00:16:08,680 Speaker 2: I believe that's metric tons, not that it's that much 261 00:16:08,720 --> 00:16:10,320 Speaker 2: of a difference one way or another, but here we are. 262 00:16:11,560 --> 00:16:14,960 Speaker 2: It's estimated that the economic activity around hunting deer in 263 00:16:15,040 --> 00:16:20,160 Speaker 2: America garners some twelve billion dollars a year. I did 264 00:16:20,240 --> 00:16:20,720 Speaker 2: not know that. 265 00:16:21,440 --> 00:16:22,240 Speaker 1: Oh my gosh. 266 00:16:22,440 --> 00:16:28,440 Speaker 2: Yeah wow. Yeah. As of twenty eleven, and I don't 267 00:16:28,480 --> 00:16:31,240 Speaker 2: think this has changed. This made white tailed deer the 268 00:16:31,480 --> 00:16:36,720 Speaker 2: most popular big game species in the world in terms 269 00:16:36,760 --> 00:16:42,480 Speaker 2: of land. Wow. Yeah, yeah, I had no idea. I 270 00:16:42,560 --> 00:16:44,480 Speaker 2: had no idea. Huh uh. 271 00:16:47,360 --> 00:16:52,680 Speaker 1: Yeah, I like it. I like it. Sorry, I'm sorry, 272 00:16:54,000 --> 00:16:55,400 Speaker 1: put myself in that corner. 273 00:16:57,520 --> 00:17:07,000 Speaker 2: No, I don't know. Staying Also, I couldn't find a 274 00:17:07,080 --> 00:17:09,119 Speaker 2: more recent number than this, but as of twenty twelve, 275 00:17:09,280 --> 00:17:13,879 Speaker 2: there were additionally over four thousand farms rearing white tailed 276 00:17:13,920 --> 00:17:17,000 Speaker 2: deer in the United States, generating some forty four million 277 00:17:17,000 --> 00:17:18,159 Speaker 2: dollars a year in sales. 278 00:17:22,440 --> 00:17:27,240 Speaker 1: This is blowing my mind because to me, it is 279 00:17:27,520 --> 00:17:32,000 Speaker 1: this small town thing I encountered. 280 00:17:32,760 --> 00:17:35,960 Speaker 2: Oh now, there's a lot of small towns there are, 281 00:17:36,720 --> 00:17:38,880 Speaker 2: and we'll get we'll talk about it more later. 282 00:17:39,080 --> 00:17:41,800 Speaker 1: But yeah. Also, yeah, it's on fancy menus. It's just 283 00:17:41,920 --> 00:17:45,520 Speaker 1: weird to me because I feel like there were like 284 00:17:45,560 --> 00:17:47,080 Speaker 1: a couple of people I knew that did it. 285 00:17:47,440 --> 00:17:48,800 Speaker 2: Yeah, right, right, you know. 286 00:17:48,800 --> 00:17:49,200 Speaker 1: What I mean? 287 00:17:49,400 --> 00:17:55,240 Speaker 2: Yeah? Yeah, wow. Another ten million or so of these 288 00:17:55,320 --> 00:17:59,479 Speaker 2: deer live wild elsewhere, mostly in the Americas, although they 289 00:17:59,520 --> 00:18:04,440 Speaker 2: have been exported to various other places, including Finland, which 290 00:18:04,800 --> 00:18:07,879 Speaker 2: also now has white tailed deer, around one hundred and 291 00:18:07,960 --> 00:18:10,960 Speaker 2: ten thousand of them, and they harvest about twenty five 292 00:18:11,000 --> 00:18:16,600 Speaker 2: thousand deer a year. Also, this doesn't have to do 293 00:18:16,720 --> 00:18:18,800 Speaker 2: with the meat, because for the most part, these are 294 00:18:18,840 --> 00:18:22,320 Speaker 2: protected deer. But there's a nature preserve in Seneca County, 295 00:18:22,400 --> 00:18:25,240 Speaker 2: New York on the site of this former army depot 296 00:18:25,960 --> 00:18:29,920 Speaker 2: that's been fenced since around nineteen forty one and shut 297 00:18:30,000 --> 00:18:34,399 Speaker 2: down since the year two thousand and it's home to 298 00:18:34,480 --> 00:18:38,679 Speaker 2: a population of about seven hundred white tailed deer, around 299 00:18:38,760 --> 00:18:44,760 Speaker 2: half of which have entirely white coats, not al bino. 300 00:18:45,640 --> 00:18:49,840 Speaker 2: They're lucistic. I think that's how you say that, but yeah, yeah, 301 00:18:50,160 --> 00:18:54,240 Speaker 2: entirely white white tailed deer really pretty. They do tours. 302 00:18:54,280 --> 00:19:07,840 Speaker 1: You can go, oh, okay this episode. Honestly, I feel 303 00:19:07,880 --> 00:19:09,800 Speaker 1: like we say this about every episode, but it is 304 00:19:09,920 --> 00:19:12,879 Speaker 1: certainly true for this one. There were so many other paths. 305 00:19:13,040 --> 00:19:18,440 Speaker 2: I was like, oh, oh yeah, yep, yep, yep. And 306 00:19:18,560 --> 00:19:20,560 Speaker 2: that is why we're also doing an episode on white 307 00:19:20,560 --> 00:19:23,560 Speaker 2: tail deer specifically and not on venison in general. Because 308 00:19:23,680 --> 00:19:28,560 Speaker 2: I started looking into it and I was like, oh no, oh, 309 00:19:28,880 --> 00:19:29,560 Speaker 2: certainly not. 310 00:19:33,600 --> 00:19:39,520 Speaker 1: This cannot stand. Yeah, there's a lot, I mean, there 311 00:19:39,600 --> 00:19:42,920 Speaker 1: has been a lot written about a deer of all kinds. 312 00:19:44,680 --> 00:19:47,000 Speaker 1: But yes, in this case, we do have quite the 313 00:19:47,160 --> 00:19:49,600 Speaker 1: history of the white tail deer for you. 314 00:19:50,000 --> 00:19:51,800 Speaker 2: We do, and we are going to get into that 315 00:19:51,840 --> 00:19:53,480 Speaker 2: as soon as we get back from a quick break. 316 00:19:53,480 --> 00:20:05,840 Speaker 2: For a word from our sponsors, Ara back, thank you sponsor, Yes, 317 00:20:05,960 --> 00:20:06,240 Speaker 2: thank you. 318 00:20:07,480 --> 00:20:13,480 Speaker 1: Okay. So, Yes, the white tailed deer is the world's 319 00:20:13,760 --> 00:20:16,919 Speaker 1: oldest species of deer, with evidence suggesting they have been 320 00:20:17,000 --> 00:20:19,320 Speaker 1: around in the Americas for three and a half million 321 00:20:19,400 --> 00:20:25,200 Speaker 1: years or maybe even five million years, and they survived 322 00:20:25,240 --> 00:20:29,280 Speaker 1: a whole host of predators and climate events all that time. 323 00:20:29,880 --> 00:20:33,080 Speaker 2: Yeah. They probably, though, to be fair, only really came 324 00:20:33,119 --> 00:20:36,720 Speaker 2: into their own after the demise of megafauna in the 325 00:20:36,800 --> 00:20:39,840 Speaker 2: area during like the late Pleistocene era, like twelve to 326 00:20:39,920 --> 00:20:43,760 Speaker 2: fifteen thousand years ago, And those megafauna met their demise 327 00:20:43,840 --> 00:20:46,879 Speaker 2: due to both like ice age stuff and also human hunting. 328 00:20:48,640 --> 00:20:52,480 Speaker 1: Yes, but I did read a very lovely article that 329 00:20:52,680 --> 00:20:55,399 Speaker 1: was just talking about how strong they were, and that 330 00:20:55,560 --> 00:20:58,960 Speaker 1: might account for how scary they. 331 00:20:58,840 --> 00:21:01,960 Speaker 2: Are and adaptable and scary. 332 00:21:02,320 --> 00:21:08,120 Speaker 1: Yes, adaptable and scary. Yes. For ten thousand years at least. 333 00:21:08,200 --> 00:21:10,640 Speaker 1: These deer have been significant in a lot of ways 334 00:21:10,720 --> 00:21:14,920 Speaker 1: for indigenous peoples in North America, for food, for clothing, 335 00:21:15,080 --> 00:21:19,680 Speaker 1: for tools. According to some estimates based on archaeological findings, 336 00:21:20,040 --> 00:21:22,480 Speaker 1: white tailed deer made up to twenty five percent of 337 00:21:22,600 --> 00:21:26,040 Speaker 1: the diet of indigenous people in eastern and central North America. 338 00:21:27,160 --> 00:21:31,879 Speaker 1: Access to this resource was so important that it facilitated treaties. 339 00:21:33,359 --> 00:21:37,720 Speaker 1: Traps were devised to capture this deer, including snares, nets, 340 00:21:37,840 --> 00:21:41,200 Speaker 1: and pits. I read other articles that was about the 341 00:21:41,880 --> 00:21:46,040 Speaker 1: innovation that went into Oh yeah, it was huge, it 342 00:21:46,240 --> 00:21:49,560 Speaker 1: was huge. Also, going back to our bone marrow episode, 343 00:21:50,720 --> 00:21:55,359 Speaker 1: they were talking about the conversation of meat versus the marrow. 344 00:21:56,040 --> 00:22:01,000 Speaker 1: Oh yeah, when it comes to deer. Very interesting. When 345 00:22:01,119 --> 00:22:05,439 Speaker 1: early colonizers arrived to North America's east coast, they hunted 346 00:22:05,560 --> 00:22:09,080 Speaker 1: and whittled down the population of predators of white tailed 347 00:22:09,119 --> 00:22:12,520 Speaker 1: deer like wolves and cougars, and this gave the deer 348 00:22:13,200 --> 00:22:18,520 Speaker 1: the room to breed and increase their population. Even so, 349 00:22:19,359 --> 00:22:23,440 Speaker 1: some areas soon started to notice deer scarcity. The first 350 00:22:23,600 --> 00:22:27,800 Speaker 1: legislation around conserving deer populations was passed in sixteen forty 351 00:22:27,920 --> 00:22:34,359 Speaker 1: six in Rhode Island, introducing hunting seasons. However, this was 352 00:22:34,440 --> 00:22:37,720 Speaker 1: less about environmental concerns and more because the meat and 353 00:22:37,880 --> 00:22:42,880 Speaker 1: hides were important to the economy. It's a little of both, 354 00:22:43,720 --> 00:22:47,159 Speaker 1: it's a little of both. Other colonies followed suit up 355 00:22:47,320 --> 00:22:51,760 Speaker 1: into the mid seventeen hundreds, though these rules weren't often 356 00:22:52,320 --> 00:22:57,480 Speaker 1: en forced. Over five hundred thousand deer skins were being 357 00:22:57,560 --> 00:23:01,240 Speaker 1: traded to Europeans from indigenous peoples the mid seventeen hundreds. 358 00:23:02,119 --> 00:23:05,440 Speaker 1: By seventeen seventy six, in places like Pennsylvania, deer meat 359 00:23:05,640 --> 00:23:10,520 Speaker 1: was the primary source of protein. If any meat wasn't sold, 360 00:23:10,600 --> 00:23:14,600 Speaker 1: it was salted and preserved as the human population grew 361 00:23:14,640 --> 00:23:16,600 Speaker 1: in these areas. As more and more people came in, 362 00:23:17,280 --> 00:23:22,240 Speaker 1: the deer population declined for multiple reasons, including lumber industries 363 00:23:22,359 --> 00:23:25,320 Speaker 1: impacting the ecosystem. So not just the hunting, not just 364 00:23:25,400 --> 00:23:29,320 Speaker 1: the more people, but the ecosystem. This of course had 365 00:23:29,320 --> 00:23:33,000 Speaker 1: a negative impact on indigenous peoples who relied on deer 366 00:23:33,040 --> 00:23:35,000 Speaker 1: as part of their diet had for a long time. 367 00:23:36,560 --> 00:23:41,280 Speaker 1: And also this reminded me of episodes we've done on 368 00:23:41,359 --> 00:23:45,040 Speaker 1: things like Oysters where I would read like old accounts 369 00:23:45,280 --> 00:23:49,240 Speaker 1: where Europeans would come in and would just seemingly think 370 00:23:50,160 --> 00:23:51,520 Speaker 1: this would never run out. 371 00:23:51,880 --> 00:23:55,440 Speaker 2: There's so much, it's so abundant that it is clearly 372 00:23:55,600 --> 00:23:59,800 Speaker 2: an eternal resource with exactly no concept of ecology at 373 00:24:00,040 --> 00:24:01,320 Speaker 2: all at all. 374 00:24:02,200 --> 00:24:05,480 Speaker 1: Not at all, not at all. But there were some 375 00:24:05,640 --> 00:24:08,920 Speaker 1: people who were worried about it. Beginning in the mid 376 00:24:09,000 --> 00:24:12,639 Speaker 1: eighteen hundreds in the US, groups of folks came together 377 00:24:12,800 --> 00:24:17,760 Speaker 1: to form sports organizations focused on better enforcing conservation regulations, 378 00:24:18,119 --> 00:24:22,520 Speaker 1: promoting conservation in national parks, and enacting new protective legislations. 379 00:24:23,160 --> 00:24:27,560 Speaker 1: They took out ads, they spearheaded reintroduction efforts, basically like 380 00:24:28,000 --> 00:24:33,399 Speaker 1: moving deer populations to different places. White tailed deer numbers 381 00:24:33,520 --> 00:24:37,080 Speaker 1: were dwindling in several East Coast states by the early 382 00:24:37,200 --> 00:24:40,160 Speaker 1: nineteen hundreds since they were hunted as this cheap source 383 00:24:40,200 --> 00:24:43,720 Speaker 1: of protein coupled with the availability and improvement of weapons. 384 00:24:44,400 --> 00:24:49,359 Speaker 1: So in response, several of these states implemented regulations or 385 00:24:49,440 --> 00:24:53,320 Speaker 1: measures to boost the population numbers. And these things did 386 00:24:53,400 --> 00:24:59,080 Speaker 1: include stuff like hunting, hunting seasons with various weapons. In mind, 387 00:24:59,600 --> 00:25:04,760 Speaker 1: deer hunters were integral and managing and recovering deer populations. 388 00:25:04,800 --> 00:25:07,840 Speaker 1: And when I tell you, a lot of these articles 389 00:25:08,080 --> 00:25:10,639 Speaker 1: were written about the importance of deer hunters in this 390 00:25:10,800 --> 00:25:16,200 Speaker 1: whole history. Wow wow, yep. 391 00:25:16,880 --> 00:25:17,120 Speaker 2: Yes. 392 00:25:17,920 --> 00:25:22,920 Speaker 1: Speaking of the Pittman Robertson Federal Aid and Wildlife Rerustoration 393 00:25:23,040 --> 00:25:26,320 Speaker 1: Act of nineteen thirty seven placed a ten percent tax 394 00:25:26,480 --> 00:25:29,840 Speaker 1: on ammunition and firearms and later was amended to include 395 00:25:29,960 --> 00:25:33,960 Speaker 1: archery equipment, and this helped provide funding for wildlife conservation 396 00:25:34,080 --> 00:25:37,600 Speaker 1: in the US, including deer. I am not someone who 397 00:25:37,680 --> 00:25:40,680 Speaker 1: has a lot of experience in hunting outside of this 398 00:25:40,880 --> 00:25:45,000 Speaker 1: neighbor I've spoken about, but I do know about this. 399 00:25:46,040 --> 00:25:51,119 Speaker 1: These taxes placed on things, and these wildlife taxes that 400 00:25:51,200 --> 00:25:53,719 Speaker 1: are put in place if you're going to go hunting 401 00:25:53,960 --> 00:25:57,359 Speaker 1: in a legal way. So they were starting that pretty 402 00:25:57,400 --> 00:26:02,679 Speaker 1: early with these regulations. Some states saw growth in their 403 00:26:02,720 --> 00:26:05,960 Speaker 1: deer population from the nineteen sixties to the nineteen nineties. 404 00:26:06,520 --> 00:26:10,480 Speaker 1: By the nineteen seventies, experts estimated the white tailed deer 405 00:26:10,560 --> 00:26:16,040 Speaker 1: population was approaching fifteen million. In fact, some of these 406 00:26:16,280 --> 00:26:22,400 Speaker 1: methods worked too well, and deer became overabundant in some areas. 407 00:26:23,400 --> 00:26:27,320 Speaker 1: There were reports of environmental and crop damage caused by deer, 408 00:26:27,480 --> 00:26:31,960 Speaker 1: and later damage caused by cars colliding with deer. New 409 00:26:32,040 --> 00:26:35,880 Speaker 1: regulations were introduced, like requiring hunters to harvest a female 410 00:26:35,920 --> 00:26:38,040 Speaker 1: deer before hunting a male one. Apparently this was a 411 00:26:38,119 --> 00:26:41,119 Speaker 1: real mind shift, had. 412 00:26:41,000 --> 00:26:44,800 Speaker 2: To Yeah, yeah, absolutely, and I think it was called 413 00:26:45,119 --> 00:26:45,680 Speaker 2: earn a buck. 414 00:26:46,400 --> 00:26:50,600 Speaker 1: Yeah, yes, yeah, yeah, So what our office we used 415 00:26:50,600 --> 00:26:55,640 Speaker 1: to have this like past the buck, the buck stops here. 416 00:26:55,960 --> 00:26:57,200 Speaker 2: Yeah, there you go, there you go. 417 00:26:58,080 --> 00:27:01,600 Speaker 1: It was awful. You get these, you'd get placed on 418 00:27:01,680 --> 00:27:05,000 Speaker 1: your desk and you were supposed to handle all issues. 419 00:27:05,080 --> 00:27:07,760 Speaker 1: I guess I didn't like it. 420 00:27:08,080 --> 00:27:12,159 Speaker 2: It was it was supposed to be an honor. 421 00:27:13,640 --> 00:27:23,240 Speaker 1: Well, it felt like duty I'd never asked for any way. 422 00:27:26,320 --> 00:27:30,800 Speaker 1: White tailed deer were transported to Finland in the nineteen hundreds, 423 00:27:31,160 --> 00:27:34,520 Speaker 1: and by the nineteen sixties their population had really stabilized 424 00:27:34,600 --> 00:27:37,520 Speaker 1: enough for people to hunt them. I would love to 425 00:27:37,560 --> 00:27:41,960 Speaker 1: hear from people from Finland about Yeah. I kind of 426 00:27:42,000 --> 00:27:44,480 Speaker 1: found one article and I couldn't find anything else, So 427 00:27:44,560 --> 00:27:48,920 Speaker 1: I would love to get some backup evidence. There were 428 00:27:49,119 --> 00:27:51,840 Speaker 1: populations of other species of deer in Europe already, though, 429 00:27:52,160 --> 00:27:56,800 Speaker 1: with a long history. Oh, absolutely different episodes, episodes, Yeah, yeah, 430 00:27:57,280 --> 00:28:00,520 Speaker 1: just to say it's not like, oh, they suddenly had deer, 431 00:28:00,600 --> 00:28:06,040 Speaker 1: it was just this specific population. Yeah, Okay, here we go, 432 00:28:07,280 --> 00:28:10,400 Speaker 1: stepping back a bit. We need to do a brief 433 00:28:10,440 --> 00:28:13,760 Speaker 1: aside about the nineteen forty two animated film. 434 00:28:13,920 --> 00:28:16,280 Speaker 2: Bamby Yep, Yep, we do. 435 00:28:16,600 --> 00:28:19,560 Speaker 1: Yeah, Yes, I do. I'm guessing most if you have 436 00:28:19,720 --> 00:28:23,440 Speaker 1: seen it, but it famously opens with a pretty traumatic 437 00:28:23,600 --> 00:28:28,200 Speaker 1: scene where a hunter called only the Man shoots and 438 00:28:28,359 --> 00:28:32,879 Speaker 1: kills Bambi's mom. The deer our white tailed deer in 439 00:28:32,960 --> 00:28:35,280 Speaker 1: this movie, which is different from them from what they 440 00:28:35,320 --> 00:28:39,240 Speaker 1: are in the book. To this day, many critics say 441 00:28:39,360 --> 00:28:41,920 Speaker 1: this is one of the best animated films of all time, 442 00:28:42,040 --> 00:28:45,000 Speaker 1: and because of that a lot has been looked into 443 00:28:45,520 --> 00:28:50,520 Speaker 1: in terms of the film's impact. One is that for 444 00:28:50,600 --> 00:28:53,360 Speaker 1: a lot of kids, this was one of the earliest 445 00:28:53,520 --> 00:28:58,040 Speaker 1: encounters with mortality that they had. There's an episode of 446 00:28:58,120 --> 00:29:02,160 Speaker 1: Friends that revolves around Phoebe realizing that her mom fast 447 00:29:02,240 --> 00:29:05,480 Speaker 1: forwarded through that scene in like every sad scene in 448 00:29:05,600 --> 00:29:09,320 Speaker 1: every child movie, but that was the scene because everyone 449 00:29:09,520 --> 00:29:11,280 Speaker 1: was like, what are you talking about? Bambee's so sad 450 00:29:11,360 --> 00:29:15,040 Speaker 1: and she didn't understand. Oh yeah, So she has a 451 00:29:15,120 --> 00:29:18,680 Speaker 1: real reckoning with that whole thing. Another is that after 452 00:29:18,840 --> 00:29:23,360 Speaker 1: this movie came out, deer Hunters experienced this huge pushback 453 00:29:23,400 --> 00:29:25,760 Speaker 1: from the public United States. 454 00:29:25,760 --> 00:29:29,520 Speaker 2: They were like, oh, you're hunting Bambi's mom, Like, yeah, yep. 455 00:29:30,160 --> 00:29:32,880 Speaker 1: A lot of hunters have pointed out that the criticism 456 00:29:33,120 --> 00:29:37,000 Speaker 1: should more accurately be against people who do not care 457 00:29:37,480 --> 00:29:40,360 Speaker 1: about their environment or conservation. Because there was also a 458 00:29:40,480 --> 00:29:44,360 Speaker 1: wildfire that devastated the forest. Oh yeah, that part was 459 00:29:44,360 --> 00:29:47,600 Speaker 1: scarier for me personally, but anyway, yeah. 460 00:29:48,280 --> 00:29:49,479 Speaker 2: Yes, I remember. 461 00:29:49,640 --> 00:29:53,520 Speaker 1: Somehow, I we have to do these huge surveys at 462 00:29:53,600 --> 00:29:57,560 Speaker 1: work sometimes, and somehow, through one of those surveys, I 463 00:29:57,800 --> 00:30:01,840 Speaker 1: found out about how hunters like proch us Bambi every year. 464 00:30:03,400 --> 00:30:07,440 Speaker 1: And I remember sending you a message about it, like, oh, 465 00:30:08,240 --> 00:30:10,400 Speaker 1: that makes sense, but I didn't know about this. Yeah. 466 00:30:11,200 --> 00:30:14,400 Speaker 2: Yeah, I feel like for some kids our generation, like 467 00:30:14,560 --> 00:30:18,200 Speaker 2: Megatron was kind of the first one, and the Transformers 468 00:30:18,240 --> 00:30:25,240 Speaker 2: animated film like Bear like Brush with Mortality. But anyway, yeah, interesting. 469 00:30:25,800 --> 00:30:28,280 Speaker 2: Ostensibly we're a food show. Let's please continue. 470 00:30:30,520 --> 00:30:34,640 Speaker 1: Ostensibly we are, but I must talk about this, uh okay. 471 00:30:34,720 --> 00:30:37,080 Speaker 1: So this also led to what is called the Bambi effect, 472 00:30:37,160 --> 00:30:41,360 Speaker 1: are the idea that people resist killing cute animals like deer, 473 00:30:41,560 --> 00:30:44,479 Speaker 1: but have no problem with cruel conditions and mass slaughter 474 00:30:44,960 --> 00:30:47,080 Speaker 1: of other of those cute animals like pigs or cows. 475 00:30:47,120 --> 00:30:48,760 Speaker 1: And I think this relates to what we've talked to 476 00:30:48,960 --> 00:30:54,200 Speaker 1: before about how in the US, like we don't call 477 00:30:54,320 --> 00:30:57,400 Speaker 1: what we're eating the name of the animal. Yeah, it's 478 00:30:57,520 --> 00:31:00,880 Speaker 1: from generally chicken a parent, yes. 479 00:31:00,880 --> 00:31:03,560 Speaker 2: But yeah, yeah, a lot of the time we use 480 00:31:03,680 --> 00:31:09,360 Speaker 2: the French word for the meat and the English Germanic 481 00:31:09,440 --> 00:31:15,880 Speaker 2: word for the animal. Were also particularly distanced, like through supermarkets, 482 00:31:16,480 --> 00:31:19,480 Speaker 2: from any kind of butchering process and any kind of 483 00:31:19,560 --> 00:31:22,560 Speaker 2: reality about the life of the animal that we are 484 00:31:23,120 --> 00:31:23,840 Speaker 2: going to consume. 485 00:31:24,840 --> 00:31:27,720 Speaker 1: Yes, yes, so I think that's a big part of 486 00:31:27,760 --> 00:31:32,080 Speaker 1: the Bambi effect as well. Just to put this out there, 487 00:31:32,680 --> 00:31:35,520 Speaker 1: in twenty eighteen, a deer poacher, because that is a thing, 488 00:31:35,800 --> 00:31:39,440 Speaker 1: was sentenced to watch Bambi once a month over the year. 489 00:31:39,560 --> 00:31:41,200 Speaker 1: He was sentenced to jail. 490 00:31:43,120 --> 00:31:43,360 Speaker 2: Wow. 491 00:31:44,160 --> 00:31:47,840 Speaker 1: Wow, it feels particularly vindictive. 492 00:31:47,960 --> 00:31:48,240 Speaker 2: But I. 493 00:31:49,880 --> 00:31:53,200 Speaker 1: Okay, okay, but okay, we have to talk about the pouniverse. 494 00:31:53,440 --> 00:31:56,280 Speaker 1: This is a I have to talk about it. 495 00:31:57,920 --> 00:31:59,640 Speaker 2: This was not a thing that I was aware of 496 00:31:59,720 --> 00:32:01,840 Speaker 2: before where Annie brought it up a couple days ago. 497 00:32:02,040 --> 00:32:05,160 Speaker 2: So yeah, please please enlighten this, enlighten us all. 498 00:32:06,040 --> 00:32:09,520 Speaker 1: Yes, So this is an aside within the aside. It's related, 499 00:32:10,440 --> 00:32:13,520 Speaker 1: and I want to preface it by saying I am 500 00:32:13,640 --> 00:32:19,200 Speaker 1: in no way recommending these films. Okay, okay, okay, no, 501 00:32:20,200 --> 00:32:24,080 Speaker 1: but there are some really good puns in there. They're puns. 502 00:32:25,120 --> 00:32:26,840 Speaker 1: I put some at the bottom. I don't know if 503 00:32:26,840 --> 00:32:29,800 Speaker 1: you saw them, but okay. 504 00:32:29,600 --> 00:32:33,720 Speaker 2: Okay, okay, back up. What is what is the pouniverse? Annie? 505 00:32:34,280 --> 00:32:37,040 Speaker 1: Oh, I'm so glad you asked. 506 00:32:39,200 --> 00:32:39,240 Speaker 2: So. 507 00:32:40,240 --> 00:32:43,240 Speaker 1: We have seen a lot of popular pieces of media 508 00:32:43,480 --> 00:32:48,200 Speaker 1: come into the public domain recently. We've also seen a 509 00:32:48,320 --> 00:32:52,280 Speaker 1: lot of them made into pretty bad horror movies. A 510 00:32:52,440 --> 00:32:56,400 Speaker 1: lot of them are children's movies made into horror movies. 511 00:32:57,920 --> 00:33:03,000 Speaker 1: One of the most famous distances of this is Winnie 512 00:33:03,040 --> 00:33:09,120 Speaker 1: the Pooh, Blood and Honey, which has a sequel that 513 00:33:09,240 --> 00:33:14,560 Speaker 1: I hear is kind of deep. Okay, I've seen it, 514 00:33:15,240 --> 00:33:18,320 Speaker 1: but I wasn't really paying attention. There was like genetic 515 00:33:19,680 --> 00:33:26,680 Speaker 1: interesting stuff going on, okay, and more recently also Screamboat 516 00:33:27,040 --> 00:33:30,080 Speaker 1: and the Mouse chap about Steamboat Willie. Those are not 517 00:33:30,320 --> 00:33:33,560 Speaker 1: part of the pooniverse, which is also, by the way, 518 00:33:33,680 --> 00:33:39,200 Speaker 1: called the Twisted Childhood Universe or the TCU. Okay, okay, 519 00:33:39,880 --> 00:33:43,200 Speaker 1: But after the success of those Winn of the Pooh movies, 520 00:33:43,760 --> 00:33:47,800 Speaker 1: the creators announced a slate of in Universe films, Peter 521 00:33:47,960 --> 00:33:55,680 Speaker 1: Pan's never Land Nightmare, Pinocchio Unstrung, and Bamby the Reckoning 522 00:33:56,760 --> 00:34:07,920 Speaker 1: coming together with Pooniverse Monsters Assemble. Yes. Bamby the Reckoning 523 00:34:08,080 --> 00:34:11,640 Speaker 1: follows a mother and son trying to survive a mutated 524 00:34:11,920 --> 00:34:12,839 Speaker 1: car crash deer. 525 00:34:13,680 --> 00:34:13,839 Speaker 2: Oh. 526 00:34:14,960 --> 00:34:20,439 Speaker 1: I've seen some images and it looks maybe I can't 527 00:34:20,480 --> 00:34:24,400 Speaker 1: describe it, one of the filmmakers said of it, it 528 00:34:24,560 --> 00:34:28,080 Speaker 1: is quote an incredibly dark retelling of the nineteen twenty 529 00:34:28,200 --> 00:34:31,680 Speaker 1: eighth story we all know and love, finding inspiration from 530 00:34:31,719 --> 00:34:35,760 Speaker 1: the design used and Netflix is the ritual. Bamby will 531 00:34:35,800 --> 00:34:40,640 Speaker 1: be a vicious killing machine that lurks in the wilderness. 532 00:34:42,480 --> 00:34:47,440 Speaker 1: So wow, your fear of deer, your dear fear. 533 00:34:48,680 --> 00:34:49,120 Speaker 2: M hmm. 534 00:34:50,400 --> 00:34:54,360 Speaker 1: Yeah. To be clear, this horror adaptation follows. This horror 535 00:34:54,440 --> 00:34:58,280 Speaker 1: adaptation follows the book, which is now in the public domain, 536 00:34:58,360 --> 00:34:59,280 Speaker 1: not the Disney film. 537 00:34:59,640 --> 00:35:04,400 Speaker 2: Yeah, because public domain is tricksie like that, and it 538 00:35:04,560 --> 00:35:07,960 Speaker 2: lasts for ninety six years on a lot of media 539 00:35:08,440 --> 00:35:14,560 Speaker 2: thanks to companies like Disney, perhaps primarily Disney. Love I 540 00:35:14,719 --> 00:35:19,360 Speaker 2: love the finding inspiration from the ritual because the ritual, 541 00:35:19,480 --> 00:35:22,040 Speaker 2: if you guys are unfamiliar with. The film is a 542 00:35:22,080 --> 00:35:24,800 Speaker 2: film that I do recommend, although I am biased because 543 00:35:25,000 --> 00:35:30,560 Speaker 2: I happen to be acquaintances with the with the director, 544 00:35:30,680 --> 00:35:36,400 Speaker 2: Dave Bruckner, who's a great human person and much much nicer. 545 00:35:36,480 --> 00:35:38,200 Speaker 2: If you've seen a lot of his movies, you might 546 00:35:38,239 --> 00:35:40,120 Speaker 2: assume he's a big weirdo, and he is, but in 547 00:35:40,200 --> 00:35:44,240 Speaker 2: a fun way, you know. But highly recommend the Ritual. 548 00:35:44,960 --> 00:35:45,960 Speaker 2: Really like that film. 549 00:35:46,880 --> 00:35:50,440 Speaker 1: So yeah, well, foovers, thank. 550 00:35:50,360 --> 00:35:53,600 Speaker 2: You Annie for introducing me to something new. 551 00:35:55,120 --> 00:35:59,440 Speaker 1: Well, it's funny because while you and I and Andrew 552 00:35:59,520 --> 00:36:04,000 Speaker 1: were in law sphase, I brought this up casually, assuming 553 00:36:05,440 --> 00:36:11,799 Speaker 1: everyone would know what I was talking about, which it's 554 00:36:11,920 --> 00:36:14,360 Speaker 1: fair that you did not. I. 555 00:36:17,640 --> 00:36:22,960 Speaker 2: Yes, yes. In these are modern times of Internet, it 556 00:36:23,120 --> 00:36:27,000 Speaker 2: is easy to believe that the niche things that you 557 00:36:27,120 --> 00:36:32,200 Speaker 2: have stumbled across are a lot more widespread, yeah, than 558 00:36:32,239 --> 00:36:38,960 Speaker 2: they actually are. And I believe the puniverse is one 559 00:36:39,080 --> 00:36:39,960 Speaker 2: of those things. 560 00:36:41,840 --> 00:36:46,799 Speaker 1: Well, fair enough, fair enough, I would like to leave 561 00:36:46,840 --> 00:36:50,080 Speaker 1: you with one of the puns Oh four weeks ago, 562 00:36:50,400 --> 00:36:57,440 Speaker 1: please phrase okay. So from the second Blood and Honey, 563 00:36:58,080 --> 00:37:03,800 Speaker 1: they introduced two new characters, Tigger and Owl. 564 00:37:04,040 --> 00:37:06,759 Speaker 2: Oh right, because Tigger is now I think Tigger only 565 00:37:07,000 --> 00:37:09,800 Speaker 2: only more recently. He didn't show up until like a 566 00:37:09,880 --> 00:37:14,080 Speaker 2: slightly later book, and so he only like this year 567 00:37:14,239 --> 00:37:16,240 Speaker 2: or maybe last year, came into public domain. 568 00:37:16,600 --> 00:37:22,880 Speaker 1: Please go ahead. Well, so they release character posters for them. Again, 569 00:37:23,200 --> 00:37:25,719 Speaker 1: I'm not recommending anyone watch these movies. I think this 570 00:37:25,840 --> 00:37:30,359 Speaker 1: is enough for you. But I'll do both of them. 571 00:37:30,719 --> 00:37:35,359 Speaker 1: So Tiggers is the cat is out of the bag 572 00:37:37,000 --> 00:37:46,680 Speaker 1: and Owl's is guess ooos joining the fun. But they're 573 00:37:46,719 --> 00:37:52,880 Speaker 1: really menacing images anyway. I know it's not food related, 574 00:37:53,000 --> 00:37:55,320 Speaker 1: but you know, we love horror and it is October, 575 00:37:55,480 --> 00:37:58,160 Speaker 1: so please thank you for indulging me. 576 00:37:58,480 --> 00:38:02,440 Speaker 2: I they they are relatively menacing. 577 00:38:04,480 --> 00:38:06,759 Speaker 1: Relatively yes, yeah, that's fair. 578 00:38:07,000 --> 00:38:14,320 Speaker 2: Yeah, I feel at the very least slightly menaced. I 579 00:38:14,560 --> 00:38:14,719 Speaker 2: like that. 580 00:38:14,920 --> 00:38:15,800 Speaker 1: Slightly menaced. 581 00:38:15,960 --> 00:38:17,040 Speaker 2: Yeah yeah, that's. 582 00:38:18,480 --> 00:38:21,360 Speaker 1: That's good enough. Like I said, they're not They're not 583 00:38:21,480 --> 00:38:25,960 Speaker 1: that great. I don't recommend it, but yeah no, unless 584 00:38:26,080 --> 00:38:31,680 Speaker 1: you're looking for a wild night, I won't tell you 585 00:38:31,880 --> 00:38:32,120 Speaker 1: not to. 586 00:38:33,920 --> 00:38:35,160 Speaker 2: Any way anyway. 587 00:38:36,360 --> 00:38:41,520 Speaker 1: Uh okay, So, going back to a point we made 588 00:38:41,840 --> 00:38:46,919 Speaker 1: at the top, in recent years, deer meat has really 589 00:38:47,040 --> 00:38:50,280 Speaker 1: started to occupy a sort of strange space in American cuisine. 590 00:38:50,400 --> 00:38:54,480 Speaker 1: It is either expensive on menus at upscale restaurants as 591 00:38:54,520 --> 00:38:57,600 Speaker 1: part of the whole head to tail movement, or you 592 00:38:57,719 --> 00:39:02,520 Speaker 1: just can't get it anywhere else, or it's freely donated 593 00:39:02,560 --> 00:39:08,680 Speaker 1: by hunters because they can't officially sell the meat since 594 00:39:08,719 --> 00:39:10,560 Speaker 1: it's not inspected for safety. 595 00:39:10,960 --> 00:39:14,320 Speaker 2: Yeah yea yeah, and so they just have like fifty 596 00:39:14,400 --> 00:39:18,040 Speaker 2: pounds of it and they're like, here, take some, please 597 00:39:18,120 --> 00:39:20,920 Speaker 2: take some. I've filled all my freezers, please take some. 598 00:39:23,719 --> 00:39:26,719 Speaker 1: Sod. It exists at two ends of the spectrum. It's 599 00:39:26,800 --> 00:39:31,400 Speaker 1: really interesting of some people being like, oh, I can 600 00:39:31,520 --> 00:39:34,080 Speaker 1: get that for free anywhere, and some people being like, 601 00:39:34,160 --> 00:39:35,360 Speaker 1: I have to pay so much to. 602 00:39:36,960 --> 00:39:44,360 Speaker 2: Entry. Yeah, sure, sure, Yeah. Well I'm glad that we 603 00:39:44,440 --> 00:39:46,960 Speaker 2: brought it back to Venison at the end. 604 00:39:47,160 --> 00:39:50,080 Speaker 1: Here did I went? 605 00:39:50,160 --> 00:39:53,560 Speaker 2: We did go a little off the rails, Yeah, in 606 00:39:53,640 --> 00:39:58,840 Speaker 2: a fun way, I hope, So, I hope. So. I 607 00:39:59,000 --> 00:39:59,760 Speaker 2: have had. 608 00:40:01,040 --> 00:40:03,120 Speaker 1: A lot of really good most of the things I've 609 00:40:03,160 --> 00:40:08,600 Speaker 1: had with venison or stews are but they're really good, 610 00:40:08,719 --> 00:40:10,279 Speaker 1: and I have a craving for them now, and I 611 00:40:10,400 --> 00:40:12,600 Speaker 1: know I can't I can't get there. 612 00:40:12,800 --> 00:40:15,600 Speaker 2: Yeah, I'm just gonna have to because I don't. Yeah, 613 00:40:16,360 --> 00:40:20,280 Speaker 2: I'm gonna have to look out for it on restaurant 614 00:40:20,360 --> 00:40:23,080 Speaker 2: menus or maybe maybe some of the like specialty butcher 615 00:40:23,160 --> 00:40:24,000 Speaker 2: shops around town. 616 00:40:24,280 --> 00:40:29,800 Speaker 1: I don't know, yeah, yeah, but we would love to 617 00:40:29,840 --> 00:40:35,800 Speaker 1: hear from you listeners. What if you have experience cooking 618 00:40:35,840 --> 00:40:42,560 Speaker 1: with venison, either hunting it, making it, or on a 619 00:40:42,680 --> 00:40:45,480 Speaker 1: menu somewhere. Absolutely, we'd love to hear from you. 620 00:40:45,640 --> 00:40:47,120 Speaker 2: If you have opinions about the Punaverse. 621 00:40:48,440 --> 00:40:52,160 Speaker 1: Oh my gosh, if you have opinions of the puniverse, 622 00:40:55,000 --> 00:40:57,680 Speaker 1: please let me know. I have to say, okay, well 623 00:40:59,239 --> 00:41:04,040 Speaker 1: about the Poona. I have kind of a not a 624 00:41:04,520 --> 00:41:09,080 Speaker 1: not the easiest relationship with my older brother. He was 625 00:41:09,440 --> 00:41:11,800 Speaker 1: essentially throwing me in olive branch and was like, what 626 00:41:11,920 --> 00:41:15,000 Speaker 1: can we talk about? And we talked about through a 627 00:41:15,320 --> 00:41:20,560 Speaker 1: Verse and he laughed so hard at its great. So 628 00:41:21,640 --> 00:41:24,040 Speaker 1: you know it gave me that, It gave me. 629 00:41:24,719 --> 00:41:26,160 Speaker 2: It brings people together. 630 00:41:27,320 --> 00:41:28,440 Speaker 1: While shredding them. 631 00:41:28,520 --> 00:41:37,040 Speaker 2: Apon on film, perfect beautiful, love it. Yes, well, yes, okay, 632 00:41:37,120 --> 00:41:40,600 Speaker 2: So if you have anything to share with us, please 633 00:41:40,719 --> 00:41:43,200 Speaker 2: do And in the meanwhile, that is all we have 634 00:41:43,320 --> 00:41:45,239 Speaker 2: to say about White Tailed Deer for now, but we 635 00:41:45,400 --> 00:41:48,080 Speaker 2: do already have some listener mail for you, and we 636 00:41:48,160 --> 00:41:49,520 Speaker 2: are going to get into that as soon as we 637 00:41:49,600 --> 00:41:52,160 Speaker 2: get back from one more quick break forward from our sponsors, 638 00:42:02,440 --> 00:42:05,600 Speaker 2: and we're back. Thank you, Spencer, Yes, thank you, And 639 00:42:05,719 --> 00:42:06,239 Speaker 2: we're back with. 640 00:42:06,640 --> 00:42:07,720 Speaker 1: The snooth. 641 00:42:14,160 --> 00:42:15,560 Speaker 2: Bounding away, bounding. 642 00:42:15,880 --> 00:42:18,760 Speaker 1: Yeah, how they bound away? Yeah, there is a scene. 643 00:42:19,960 --> 00:42:22,800 Speaker 1: Funnily enough, we talked about it in our Rabbit episode 644 00:42:23,480 --> 00:42:26,279 Speaker 1: in the Last of Us game, where you're hunting a 645 00:42:26,360 --> 00:42:28,840 Speaker 1: deer and it is a bounder. 646 00:42:30,280 --> 00:42:34,360 Speaker 2: Yeah. I will say, like, not all of my encounters 647 00:42:34,480 --> 00:42:38,080 Speaker 2: with the local deer are terrifying at all. Like like, 648 00:42:38,560 --> 00:42:41,839 Speaker 2: like like over the summer, like there was some young 649 00:42:42,000 --> 00:42:44,239 Speaker 2: deer that were kind of frolicking, maybe like a year 650 00:42:44,320 --> 00:42:48,000 Speaker 2: old I would guess, frolicking out back and uh and 651 00:42:48,080 --> 00:42:51,759 Speaker 2: it was like any other group of young mammals, you know, 652 00:42:51,840 --> 00:42:54,719 Speaker 2: Like one of them was just like going in these 653 00:42:54,880 --> 00:42:59,360 Speaker 2: completely wild circles, just racing, just absolutely racing. Nobody but 654 00:42:59,480 --> 00:43:02,239 Speaker 2: itself and all of its siblings were like, come on, 655 00:43:03,280 --> 00:43:07,040 Speaker 2: come on, Ralph, what are you doing, man, We're trying 656 00:43:07,040 --> 00:43:08,040 Speaker 2: to eat this grass. 657 00:43:09,840 --> 00:43:15,719 Speaker 1: Embarrassing. Yeah, I'm glad not all of your deer encounters 658 00:43:16,960 --> 00:43:18,400 Speaker 1: are full of horror. 659 00:43:18,880 --> 00:43:21,240 Speaker 2: No, no, no, no no. For the most part, they're lovely. 660 00:43:21,560 --> 00:43:23,080 Speaker 2: I'm glad to have them, you know. 661 00:43:24,760 --> 00:43:28,560 Speaker 1: Yes, yes, most of my experience with them in my 662 00:43:28,719 --> 00:43:33,879 Speaker 1: yard growing up was very They were cute, yeah, dear, Yeah, 663 00:43:35,440 --> 00:43:37,920 Speaker 1: but yeah it's just our our horror movies and our 664 00:43:38,400 --> 00:43:41,279 Speaker 1: when you are when you're close to one and you 665 00:43:41,360 --> 00:43:43,040 Speaker 1: see how big they are, Yeah. 666 00:43:43,160 --> 00:43:44,840 Speaker 2: It's like I should be elsewhere. 667 00:43:45,760 --> 00:43:53,400 Speaker 1: I'll step back. Yeah all right, m okay, Ashley wrote, 668 00:43:53,760 --> 00:43:56,000 Speaker 1: I just wanted to let y'all know that you inspired 669 00:43:56,160 --> 00:43:59,839 Speaker 1: quite a detour on my husband and my current anniversary trip. 670 00:44:00,760 --> 00:44:04,359 Speaker 1: We are in Switzerland and already fully planned on going 671 00:44:04,400 --> 00:44:07,440 Speaker 1: to Griere, but a week before we left, we happened 672 00:44:07,440 --> 00:44:10,399 Speaker 1: to listen to the Chartreuse episode and started to look 673 00:44:10,440 --> 00:44:13,360 Speaker 1: into just how much of a detour it might be 674 00:44:14,520 --> 00:44:18,239 Speaker 1: just under three hours. We had a car and no 675 00:44:18,400 --> 00:44:21,320 Speaker 1: set plans, so we went for it. The town of 676 00:44:21,600 --> 00:44:24,880 Speaker 1: Voyron is very charming with a painted church. We toured, 677 00:44:25,040 --> 00:44:28,120 Speaker 1: and while no distilling takes place at this location anymore 678 00:44:28,239 --> 00:44:31,800 Speaker 1: due to regulations surrounding fire safety, the tour was super 679 00:44:31,920 --> 00:44:35,360 Speaker 1: interesting and informative, and all of the videos showing monks 680 00:44:35,520 --> 00:44:38,600 Speaker 1: working the large metal stills in a very modern setting 681 00:44:39,200 --> 00:44:43,160 Speaker 1: was a super unique juxtaposition. The cocktails in the bar 682 00:44:43,320 --> 00:44:47,320 Speaker 1: there were quite tasty. As well. No photos were allowed 683 00:44:47,360 --> 00:44:50,400 Speaker 1: on the tour, but the longest underground Cellar did seem 684 00:44:50,480 --> 00:44:54,120 Speaker 1: to live up to its name, also attaching photos from 685 00:44:54,200 --> 00:44:56,840 Speaker 1: the tour in Griere, it lived up to all my 686 00:44:57,120 --> 00:44:58,000 Speaker 1: cheesy dreams. 687 00:45:00,160 --> 00:45:03,160 Speaker 2: What oh wow, that is also cool. 688 00:45:04,719 --> 00:45:09,120 Speaker 1: That's awesome, that's so cool. Thank you for taking I mean, 689 00:45:09,840 --> 00:45:12,920 Speaker 1: thank you for writing to us about this tour that 690 00:45:13,040 --> 00:45:18,240 Speaker 1: you took. Yes, because we were curious about Oh my goodness, 691 00:45:19,600 --> 00:45:20,719 Speaker 1: Truth distillery. 692 00:45:20,960 --> 00:45:23,759 Speaker 2: It did look really cool and I'm so glad that 693 00:45:23,840 --> 00:45:26,640 Speaker 2: it actually was really cool. I'm glad that your email 694 00:45:26,719 --> 00:45:29,520 Speaker 2: wasn't like, yeah, thanks a lot for talking about. 695 00:45:31,080 --> 00:45:35,480 Speaker 1: A Yeah, me too. That wasn't a concern I had, 696 00:45:35,600 --> 00:45:40,400 Speaker 1: But I'm relieved now I really know that sounds awesome. 697 00:45:40,600 --> 00:45:45,760 Speaker 2: Yeah, yeah, congratulations on your anniversary. And oh, cheesy dreams. 698 00:45:45,880 --> 00:45:47,320 Speaker 2: Cheesy dreams are the best dreams. 699 00:45:48,400 --> 00:45:53,160 Speaker 1: Yes, career, mmmmmmm. 700 00:45:57,120 --> 00:45:59,560 Speaker 2: Another big sigh for a thing that I'm not consuming 701 00:45:59,760 --> 00:46:00,680 Speaker 2: at this very moment. 702 00:46:00,920 --> 00:46:02,680 Speaker 1: Yes, yes, yes. 703 00:46:04,680 --> 00:46:10,600 Speaker 2: Christine wrote updating us about Australia and coffee creamer. Okay, 704 00:46:11,239 --> 00:46:13,880 Speaker 2: within days of the coffee creamer episode, I found some 705 00:46:14,080 --> 00:46:17,400 Speaker 2: in my local supermarket. It's probably been in other supermarkets, 706 00:46:17,440 --> 00:46:19,440 Speaker 2: but I wasn't looking for it. I meant to send 707 00:46:19,480 --> 00:46:22,520 Speaker 2: you the photo, but forgot about that. However, earlier this 708 00:46:22,640 --> 00:46:25,239 Speaker 2: week I was required to submit the tenth photo in 709 00:46:25,320 --> 00:46:28,000 Speaker 2: my gallery to the council of Katto's for judgment, and 710 00:46:28,360 --> 00:46:30,120 Speaker 2: it happened to be the photo I had to submit. 711 00:46:31,000 --> 00:46:34,360 Speaker 2: This particular council consists of three chonky cats wearing presumably 712 00:46:34,480 --> 00:46:37,759 Speaker 2: cleaned instant noodle cup hats. They managed to look simultaneously 713 00:46:37,920 --> 00:46:43,440 Speaker 2: inscrutably wise, utterly adorable, and really ridiculous. Still, I think 714 00:46:43,480 --> 00:46:46,880 Speaker 2: the photo describes another reason creamer isn't found much in Australia. 715 00:46:47,239 --> 00:46:50,160 Speaker 2: Who's going to pay thirteen bucks for something that's probably 716 00:46:50,239 --> 00:46:52,440 Speaker 2: going to go bad before you finish it when you 717 00:46:52,520 --> 00:46:55,200 Speaker 2: can get a more versatile carton of milk that's cheaper, 718 00:46:55,320 --> 00:46:59,640 Speaker 2: healthier and tastier. Still, for anyone in Australia who desperately 719 00:46:59,680 --> 00:47:02,640 Speaker 2: wants creamer, they need to look for a large supermarket 720 00:47:02,719 --> 00:47:07,200 Speaker 2: near an industrial park with multinational corporations and internationally renowned 721 00:47:07,280 --> 00:47:11,000 Speaker 2: medical research facility, or a large university. I happened to 722 00:47:11,040 --> 00:47:13,880 Speaker 2: be near all three, and except that there might not 723 00:47:14,040 --> 00:47:16,200 Speaker 2: be a large selection of flavors. 724 00:47:17,360 --> 00:47:19,880 Speaker 1: I love this continued research Christine. 725 00:47:20,040 --> 00:47:24,080 Speaker 2: Oh yeah, thank you, And I hope that the Council 726 00:47:24,280 --> 00:47:29,040 Speaker 2: of Kados. I hope that their judgment was fair and balanced. 727 00:47:30,200 --> 00:47:37,200 Speaker 1: Indeed, indeed, I can tell that the hats in part 728 00:47:37,360 --> 00:47:42,280 Speaker 1: of wisdom. Oh oh yes, we must accept their judgment. 729 00:47:42,640 --> 00:47:54,040 Speaker 2: Sure, Oh yeah, I don't know. I don't know coffee creamer, 730 00:47:54,080 --> 00:47:54,920 Speaker 2: I still don't know about it. 731 00:47:55,160 --> 00:48:00,920 Speaker 1: But here we are, yep, same, but we. 732 00:48:01,000 --> 00:48:03,279 Speaker 2: Are entering a really good We are in the midst 733 00:48:03,320 --> 00:48:05,440 Speaker 2: of a really good season for it. If you're into it, 734 00:48:05,640 --> 00:48:09,560 Speaker 2: I am positive that you have had a oh it's 735 00:48:09,640 --> 00:48:12,040 Speaker 2: back moment at some point in the last few weeks 736 00:48:12,160 --> 00:48:14,680 Speaker 2: or will sometime the next few weeks, depending on what 737 00:48:14,800 --> 00:48:18,480 Speaker 2: your exact flavor of being excited about coffee creamer is. 738 00:48:19,800 --> 00:48:24,239 Speaker 1: Yes, I mean yeah, there's a lot. There are a 739 00:48:24,280 --> 00:48:26,719 Speaker 1: lot of flavors that's exciting. Oh yeah, I get it. 740 00:48:28,080 --> 00:48:32,719 Speaker 1: I support it. Oh yeah, hello, absolutely, go get it, 741 00:48:33,800 --> 00:48:38,399 Speaker 1: go get it. Well. Thank you to both of those 742 00:48:38,520 --> 00:48:40,520 Speaker 1: listeners for writing to us. If you would like to 743 00:48:40,560 --> 00:48:42,840 Speaker 1: write to us, you can Our email is Hello at 744 00:48:42,920 --> 00:48:43,960 Speaker 1: sabrepod dot com. 745 00:48:44,120 --> 00:48:47,120 Speaker 2: We're also on social media. You can find us on Twitter, Facebook, 746 00:48:47,160 --> 00:48:49,560 Speaker 2: and Instagram at saber pod and we do hope to 747 00:48:49,600 --> 00:48:52,680 Speaker 2: hear from you. Save is production of iHeartRadio. For more 748 00:48:52,719 --> 00:48:55,560 Speaker 2: podcasts from my heart Radio, you can visit the iHeartRadio app, 749 00:48:55,680 --> 00:48:58,640 Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows. 750 00:48:59,040 --> 00:49:02,400 Speaker 2: Thanks as always to super producers Dylan Fagan and Andrew Howard. 751 00:49:02,800 --> 00:49:04,640 Speaker 2: Thanks to you for listening, and we hope that lots 752 00:49:04,640 --> 00:49:06,120 Speaker 2: of more good things are coming your way