1 00:00:03,960 --> 00:00:09,640 Speaker 1: Smell off now, lady, Welcome to Meat Eater Trivia Podcast. 2 00:00:27,880 --> 00:00:32,280 Speaker 2: Hey, everybody, welcome to met Eater Radio Live. As always, 3 00:00:32,280 --> 00:00:35,519 Speaker 2: It's eleven am on Thursday here at meat Eater HQ 4 00:00:35,800 --> 00:00:41,480 Speaker 2: and Wintry Bozeman, Montana. It's eight am and Maui, where 5 00:00:41,479 --> 00:00:44,480 Speaker 2: it's currently about seventy five degrees, which sounds pretty nice. 6 00:00:44,640 --> 00:00:45,760 Speaker 3: It would be nice to be out. 7 00:00:45,640 --> 00:00:49,199 Speaker 2: There hunting pigs and access steer and shorts and a 8 00:00:49,240 --> 00:00:52,560 Speaker 2: T shirt. But anyway, I'm your host, Brody. I'm joined 9 00:00:52,560 --> 00:00:57,760 Speaker 2: today by Jannis and Randall, you know these guys. Today 10 00:00:57,800 --> 00:01:01,640 Speaker 2: we're going to talk to our favorite local wild game 11 00:01:01,680 --> 00:01:04,679 Speaker 2: butcher and a borgman, and we're al gonna chat with 12 00:01:04,680 --> 00:01:08,479 Speaker 2: our friend Jim heffle Finger about lumpers, splitters and extinct elk. 13 00:01:09,280 --> 00:01:11,160 Speaker 2: And we've got a news round up for you and 14 00:01:11,240 --> 00:01:14,319 Speaker 2: another round of hot tip offs from our listeners. So 15 00:01:14,360 --> 00:01:17,520 Speaker 2: we're gonna get right into it. Have some fun today 16 00:01:18,800 --> 00:01:22,600 Speaker 2: before we get into the first interview. Big game season 17 00:01:22,680 --> 00:01:24,160 Speaker 2: is over. It's kind of kind of sad. 18 00:01:24,640 --> 00:01:27,840 Speaker 1: Oh I'm may I got the mega post big game 19 00:01:27,880 --> 00:01:29,120 Speaker 1: season blues going right now. 20 00:01:29,200 --> 00:01:31,679 Speaker 2: Yeah, yeah, it's kind of kind of sad, but I 21 00:01:31,720 --> 00:01:34,759 Speaker 2: mean they're still hunting to be done. What do you got? 22 00:01:34,800 --> 00:01:36,279 Speaker 2: What do you guys got planned for the next. 23 00:01:36,200 --> 00:01:37,360 Speaker 1: You guys get the blues too? 24 00:01:37,800 --> 00:01:42,800 Speaker 4: Oh season, Big Blues, Big Blues right now. Yeah, I 25 00:01:42,800 --> 00:01:45,160 Speaker 4: don't really have any plans at the moment, trying to 26 00:01:45,160 --> 00:01:46,840 Speaker 4: figure out what tags I'm gonna apply for. 27 00:01:47,920 --> 00:01:49,480 Speaker 5: Got the calendar for twenty twenty. 28 00:01:49,320 --> 00:01:50,440 Speaker 2: Season, get into that. 29 00:01:50,440 --> 00:01:54,160 Speaker 5: I'll look at lads and points and all that stuff. 30 00:01:54,720 --> 00:01:59,080 Speaker 1: Yeah, Mountainine seasons open, that's right. Yeah, I've already had 31 00:01:59,120 --> 00:02:01,040 Speaker 1: a couple of days out there there, found some tracks, 32 00:02:01,040 --> 00:02:03,000 Speaker 1: but they were going into private, so we didn't cut 33 00:02:03,040 --> 00:02:03,680 Speaker 1: loose on them. 34 00:02:04,000 --> 00:02:06,080 Speaker 2: Yeah. We're getting some snow now, which is good for 35 00:02:06,120 --> 00:02:06,520 Speaker 2: you too. 36 00:02:06,920 --> 00:02:08,920 Speaker 1: Yeah, it's nice, makes it life easy. 37 00:02:09,320 --> 00:02:10,040 Speaker 2: Are you? 38 00:02:10,040 --> 00:02:12,320 Speaker 1: You mentioned Maui and how nice to be there? Are 39 00:02:12,320 --> 00:02:14,560 Speaker 1: you already sick of the cold and we're not even dude, 40 00:02:14,560 --> 00:02:15,840 Speaker 1: barely in November. 41 00:02:15,880 --> 00:02:18,560 Speaker 3: I get I get sick of the real cold stuff. Easy. 42 00:02:18,680 --> 00:02:22,160 Speaker 1: You think you're going to turn into a snowbird. 43 00:02:21,720 --> 00:02:24,560 Speaker 2: No, but I eventually I might turn into like a 44 00:02:24,639 --> 00:02:27,560 Speaker 2: mid South bird, Like if I moved. I want to 45 00:02:27,560 --> 00:02:30,440 Speaker 2: be somewhere where there was seasons and it snowed once 46 00:02:30,480 --> 00:02:31,960 Speaker 2: in a while, so I'm got there. 47 00:02:32,200 --> 00:02:33,360 Speaker 1: I got like a Missouri. 48 00:02:34,400 --> 00:02:36,720 Speaker 2: Yeah, I don't know. Maybe I'll buy some land from 49 00:02:36,760 --> 00:02:39,760 Speaker 2: Clay and moving down there Arkansas. Yeah. 50 00:02:39,800 --> 00:02:44,600 Speaker 4: I For whatever reason, this cold snap hit pretty badly 51 00:02:44,919 --> 00:02:48,480 Speaker 4: because it was so warm, and then one day it's 52 00:02:48,560 --> 00:02:51,960 Speaker 4: just like ten degrees and blowing snow. And then we 53 00:02:51,960 --> 00:02:56,240 Speaker 4: were I was taking the taking Yannie's trailer back to 54 00:02:56,280 --> 00:02:58,760 Speaker 4: his house and we got two pickups stuck and a 55 00:02:58,800 --> 00:02:59,919 Speaker 4: trailer stuck. 56 00:03:00,080 --> 00:03:00,680 Speaker 2: At his house. 57 00:03:01,080 --> 00:03:01,280 Speaker 5: Yeah. 58 00:03:02,200 --> 00:03:03,840 Speaker 2: Man, get that plow truck out. 59 00:03:04,040 --> 00:03:07,120 Speaker 4: Well we did, well, we did because he needed to 60 00:03:07,120 --> 00:03:08,400 Speaker 4: pull me out with the plow truck. 61 00:03:09,560 --> 00:03:11,600 Speaker 2: One nice thing about the cold is I think we're 62 00:03:11,600 --> 00:03:16,079 Speaker 2: gonna hopefully get some some early spearing ice, and I'm 63 00:03:16,200 --> 00:03:20,600 Speaker 2: tentatively planning a spear and trip with the boys for 64 00:03:20,720 --> 00:03:24,160 Speaker 2: pike and hopefully like work some pheasant hunting into that too. 65 00:03:24,360 --> 00:03:30,320 Speaker 4: Toscani where no, no oh, gotcha a big pike here. 66 00:03:30,560 --> 00:03:34,320 Speaker 2: Yeah, so that would be fun over Christmas break. Hopefully 67 00:03:34,360 --> 00:03:36,600 Speaker 2: it stays cold enough and we'll get get some good ice. 68 00:03:36,680 --> 00:03:38,160 Speaker 1: Call me if you go. I'd like to go do that. 69 00:03:38,560 --> 00:03:39,920 Speaker 2: Are you gonna be around over break? 70 00:03:40,080 --> 00:03:44,480 Speaker 3: Yep? All right, then I go too. Yeah, man, perfect. 71 00:03:44,240 --> 00:03:47,560 Speaker 2: You got a spear grab one out of Steve's. 72 00:03:47,640 --> 00:03:49,640 Speaker 1: I was just thinking about I got a bunch of decoys. 73 00:03:49,840 --> 00:03:51,440 Speaker 5: Yeah, I just like to watch. 74 00:03:52,080 --> 00:03:54,440 Speaker 2: We should take a whole posse out there. Man, it's fun. 75 00:03:54,520 --> 00:03:57,280 Speaker 5: Empty a few cans and bottles, put some tip ups 76 00:03:57,320 --> 00:03:59,520 Speaker 5: out nice. Yeah, that would be super fun. 77 00:04:00,240 --> 00:04:00,520 Speaker 3: Yep. 78 00:04:01,160 --> 00:04:03,800 Speaker 2: All right, enough talking about our fun. We got to 79 00:04:03,800 --> 00:04:06,240 Speaker 2: get into the serious stuff and move on to our 80 00:04:06,280 --> 00:04:10,640 Speaker 2: first guest, Jim Hefflefinger. Many of you guys have seen 81 00:04:10,760 --> 00:04:12,920 Speaker 2: or listened to him on the podcast, so hopefully and 82 00:04:13,000 --> 00:04:16,680 Speaker 2: know him. But we got Jim up yet or did 83 00:04:16,680 --> 00:04:17,600 Speaker 2: he disappear on us? 84 00:04:17,600 --> 00:04:19,640 Speaker 6: Oh he's still here, but he's not in yet. Let's 85 00:04:19,640 --> 00:04:20,160 Speaker 6: bring him in. 86 00:04:21,160 --> 00:04:21,800 Speaker 1: Jerry is. 87 00:04:23,320 --> 00:04:27,560 Speaker 2: Jim for people aren't familiar with you, Uh, just quickly 88 00:04:27,600 --> 00:04:30,360 Speaker 2: introduce yourself and let let us know what you do 89 00:04:30,680 --> 00:04:32,680 Speaker 2: and then what we'll get into the nitty gritty. 90 00:04:33,279 --> 00:04:33,479 Speaker 3: Yeah. 91 00:04:33,480 --> 00:04:35,480 Speaker 7: I've been I'm a well let science coordinator for Arizona 92 00:04:35,520 --> 00:04:37,240 Speaker 7: Game and Fish Department. I've been with the apartment for 93 00:04:37,279 --> 00:04:40,000 Speaker 7: thirty three years and probably most of my focus there 94 00:04:40,000 --> 00:04:43,920 Speaker 7: has been big game management Western Big Game I chair 95 00:04:44,279 --> 00:04:47,200 Speaker 7: Western North America Mealdier Working Group and then also involved 96 00:04:47,240 --> 00:04:49,480 Speaker 7: in Mexico both recovery last fifteen years. 97 00:04:49,880 --> 00:04:53,520 Speaker 2: Nice. But you also do some work with elk, which 98 00:04:53,520 --> 00:04:55,520 Speaker 2: we're going to talk about today. 99 00:04:55,520 --> 00:04:56,600 Speaker 7: Interesting things. 100 00:04:58,160 --> 00:05:00,320 Speaker 2: The reason, the big reason I want I need to 101 00:05:00,320 --> 00:05:02,120 Speaker 2: have you on today is because you're doing some pretty 102 00:05:02,120 --> 00:05:06,000 Speaker 2: cool work with Merriam's elk. And if you're if you're 103 00:05:06,000 --> 00:05:09,640 Speaker 2: not familiar with Merriams elk, it's a jump in and 104 00:05:09,680 --> 00:05:12,760 Speaker 2: correct me wherever I screw up, Jim. But Marriams elk 105 00:05:12,800 --> 00:05:17,200 Speaker 2: are an extinct subspecies of elk, and Jim's doing some 106 00:05:17,279 --> 00:05:21,240 Speaker 2: work trying to figure out like were they different than 107 00:05:21,279 --> 00:05:25,520 Speaker 2: other elk, Like do they deserve the subspecies designation all 108 00:05:25,520 --> 00:05:28,120 Speaker 2: that stuff. So we're going to talk about that, But 109 00:05:28,200 --> 00:05:30,760 Speaker 2: before we get to that, we got to talk about 110 00:05:30,920 --> 00:05:34,960 Speaker 2: lumpers and splitters. So, Jim, can you real quick explain 111 00:05:35,160 --> 00:05:40,320 Speaker 2: like the two basic schools of thought that biologists kind 112 00:05:40,320 --> 00:05:42,880 Speaker 2: of fall into when it comes time for someone like 113 00:05:42,920 --> 00:05:48,200 Speaker 2: yourself to like identify and classify wildlife species and subspecies. 114 00:05:48,680 --> 00:05:49,280 Speaker 6: Yeah. 115 00:05:49,320 --> 00:05:52,400 Speaker 7: Absolutely, there's a you know, we've got to classify animals 116 00:05:52,440 --> 00:05:55,600 Speaker 7: as species, and then when we start classifying animals as subspecies, 117 00:05:55,640 --> 00:05:58,800 Speaker 7: things get a little sketchy. And so there's this concept 118 00:05:58,839 --> 00:06:01,600 Speaker 7: of lumpers and splitters, and people fall into one category 119 00:06:01,640 --> 00:06:04,760 Speaker 7: or the other somewhere in between. And it basically at 120 00:06:04,800 --> 00:06:08,039 Speaker 7: the most basic level is the lumpers are focusing on 121 00:06:08,120 --> 00:06:10,760 Speaker 7: similarities between animals. Like they might look at all elk 122 00:06:10,800 --> 00:06:12,720 Speaker 7: and just say, you know, they're basically elk. They differ 123 00:06:12,760 --> 00:06:14,920 Speaker 7: a little bit in the east and the west, but 124 00:06:14,960 --> 00:06:17,200 Speaker 7: they're all just elk. So they're all one kind of animal. 125 00:06:17,480 --> 00:06:19,640 Speaker 7: Other people focus on differences and they might say, well, 126 00:06:19,640 --> 00:06:22,160 Speaker 7: this one's a little darker, this one has antlers that 127 00:06:22,240 --> 00:06:24,120 Speaker 7: tend to crown a little bit more, and these have 128 00:06:24,240 --> 00:06:26,719 Speaker 7: like smaller antlers, And so those are like the splitters 129 00:06:26,720 --> 00:06:28,520 Speaker 7: that want to split these animals up into a whole 130 00:06:28,560 --> 00:06:31,960 Speaker 7: bunch of different categories. We'll talk about. Miriam Duck was 131 00:06:32,040 --> 00:06:37,000 Speaker 7: named after seaheart Miriam. Miriam actually designated eighty four different 132 00:06:37,040 --> 00:06:39,880 Speaker 7: brown bear and grizzly bear species, not even subspecies. 133 00:06:39,960 --> 00:06:42,040 Speaker 2: Yeah, that's what I was going to get at. Like, 134 00:06:42,200 --> 00:06:45,520 Speaker 2: I tend myself to like kind of lean towards the 135 00:06:46,040 --> 00:06:50,920 Speaker 2: lumper school of thought because the splitters can get out 136 00:06:50,920 --> 00:06:56,080 Speaker 2: of control. I think at one point there's like I'm 137 00:06:56,120 --> 00:06:57,839 Speaker 2: just throwing a number out there. But Steve and I 138 00:06:57,880 --> 00:06:59,800 Speaker 2: are working on a book right now, and it comes 139 00:06:59,839 --> 00:07:03,880 Speaker 2: up there where there was like over one hundred different 140 00:07:03,960 --> 00:07:08,800 Speaker 2: subspecies of Canada goose at one point, which is kind 141 00:07:08,800 --> 00:07:13,240 Speaker 2: of ridiculous, But there's good reasons for splitting two when 142 00:07:13,280 --> 00:07:17,640 Speaker 2: it comes to managing species on like a regional or 143 00:07:17,720 --> 00:07:22,880 Speaker 2: more local level, like having subspecies can allow for better 144 00:07:22,960 --> 00:07:24,520 Speaker 2: management of those animals. 145 00:07:24,640 --> 00:07:28,320 Speaker 7: Sometimes they'll focus on animals, but pure taxonomous though, we 146 00:07:28,400 --> 00:07:31,600 Speaker 7: don't split animals just so that there's some conservation focus 147 00:07:31,680 --> 00:07:34,840 Speaker 7: on that. Animal taxonomy is a pure science of are 148 00:07:34,880 --> 00:07:37,080 Speaker 7: those animals really different? And then if they're different, then 149 00:07:37,120 --> 00:07:39,440 Speaker 7: we should probably doing some different conservation acts. 150 00:07:39,480 --> 00:07:44,760 Speaker 2: Right, Okay, So let's talk elk and have you run 151 00:07:44,800 --> 00:07:50,720 Speaker 2: through the generally accepted subspecies of elk in North America, 152 00:07:51,200 --> 00:07:53,600 Speaker 2: both living and extinct. And we've got a map that 153 00:07:53,640 --> 00:07:57,280 Speaker 2: you're going to explain isn't quite accurate, but hopefully it 154 00:07:57,280 --> 00:08:01,400 Speaker 2: can help people visualize where these different elk subspecies live 155 00:08:01,520 --> 00:08:04,240 Speaker 2: now or lived before they went extinct. 156 00:08:05,040 --> 00:08:07,200 Speaker 7: Yeah, sure, I say that map, and I said this 157 00:08:07,280 --> 00:08:09,960 Speaker 7: is wrong because it's not one hundred percent right, but 158 00:08:09,960 --> 00:08:13,440 Speaker 7: it's the closest representation of just generally these different subspecies 159 00:08:13,440 --> 00:08:16,080 Speaker 7: that people have been recognizing over and over again. The 160 00:08:16,120 --> 00:08:19,559 Speaker 7: eastern elk people hear about east of the Mississippi. Those 161 00:08:19,560 --> 00:08:22,800 Speaker 7: things disappeared so quick that science didn't really catch up 162 00:08:22,840 --> 00:08:26,920 Speaker 7: and document many specimens. They weren't studied physically, so we 163 00:08:26,960 --> 00:08:30,240 Speaker 7: don't know a lot about whether they differed in the east. 164 00:08:30,600 --> 00:08:33,200 Speaker 7: But the Manitobin elk in the middle of the continent, 165 00:08:33,520 --> 00:08:36,480 Speaker 7: in Rocky Mountain elk, they don't all the genetic work 166 00:08:36,520 --> 00:08:41,120 Speaker 7: that's been done, they don't separate out genetically as different subspecies. 167 00:08:41,200 --> 00:08:42,880 Speaker 7: And I suspect if we had the same kind of 168 00:08:42,960 --> 00:08:46,040 Speaker 7: data for eastern elk, you'd see Eastern Manitoban and Rocky 169 00:08:46,080 --> 00:08:47,719 Speaker 7: Mountain really just the same thing. 170 00:08:47,800 --> 00:08:50,679 Speaker 2: And when you say it like this is this map 171 00:08:50,800 --> 00:08:55,320 Speaker 2: is like original range, Like obviously there's not Manitoban elk 172 00:08:55,440 --> 00:08:57,959 Speaker 2: running around in Kansas right now. 173 00:08:58,800 --> 00:09:01,600 Speaker 7: Yet you cut out there a second, But there's no 174 00:09:02,160 --> 00:09:08,719 Speaker 7: geographic barriers that would have like isolated those three individual 175 00:09:08,720 --> 00:09:10,479 Speaker 7: animals species. 176 00:09:10,600 --> 00:09:15,320 Speaker 2: Yep. So what's that of total of six six subspecies 177 00:09:15,400 --> 00:09:15,880 Speaker 2: we've got. 178 00:09:15,760 --> 00:09:18,559 Speaker 7: Right, So those are three in the continental and then 179 00:09:18,840 --> 00:09:21,560 Speaker 7: the Roosevelt and the Tulei elk. A lot of different 180 00:09:21,559 --> 00:09:24,440 Speaker 7: genetic and elysis have separated those out so genetically they 181 00:09:24,480 --> 00:09:28,400 Speaker 7: will break out as separate subspecies, and we don't know 182 00:09:28,559 --> 00:09:31,400 Speaker 7: because they were isolated, and so in that isolation they 183 00:09:31,400 --> 00:09:34,040 Speaker 7: created some genetic differences and they're a little bit different. 184 00:09:34,280 --> 00:09:37,199 Speaker 7: We don't know if that how far those differences, how 185 00:09:37,200 --> 00:09:40,000 Speaker 7: far they were isolated go back in time, like if 186 00:09:40,000 --> 00:09:42,680 Speaker 7: we went back four hundred three hundred years, they may 187 00:09:42,679 --> 00:09:44,920 Speaker 7: have been all the same. And it's really human influence 188 00:09:45,000 --> 00:09:48,280 Speaker 7: isolating those populations. We don't don't really know. That bottom 189 00:09:48,360 --> 00:09:51,800 Speaker 7: line is Roosevelt and Twully will break out genetically. Rocky mountain, 190 00:09:51,840 --> 00:09:54,280 Speaker 7: Manitobin in what little we know about Eastern really don't 191 00:09:54,280 --> 00:09:55,440 Speaker 7: break out separately. 192 00:09:55,520 --> 00:09:58,520 Speaker 4: Go ahead, Jim, could you this is Randall When you 193 00:09:58,559 --> 00:10:01,720 Speaker 4: say that Manitobin elk don't break out genetically compared to 194 00:10:02,040 --> 00:10:04,640 Speaker 4: like a rocky mountain. Up, can you describe some I 195 00:10:04,679 --> 00:10:08,120 Speaker 4: assume then the difference that has been identified in the 196 00:10:08,160 --> 00:10:10,200 Speaker 4: past to use to make that distinction is just a 197 00:10:10,240 --> 00:10:15,040 Speaker 4: physical visual characteristic. Now can you describe what that what 198 00:10:15,080 --> 00:10:15,480 Speaker 4: that is? 199 00:10:16,400 --> 00:10:20,920 Speaker 7: Yes, the physical descriptions that people use to describe the 200 00:10:21,000 --> 00:10:25,959 Speaker 7: different subspecies. They're oftentimes like they shot an elk or 201 00:10:26,000 --> 00:10:28,040 Speaker 7: they shot two elk, and they said these look kind 202 00:10:28,040 --> 00:10:30,800 Speaker 7: of darker, And so they drew a big polygon on 203 00:10:30,840 --> 00:10:33,320 Speaker 7: the map and they said this is the Eastern elk. 204 00:10:33,360 --> 00:10:36,360 Speaker 7: They gave it a subspecies name, and they said this 205 00:10:36,400 --> 00:10:40,640 Speaker 7: is a new subspecies. And in most cases those subspecies 206 00:10:40,640 --> 00:10:44,400 Speaker 7: are described separately based on a couple of little general characteristics. 207 00:10:44,440 --> 00:10:46,680 Speaker 7: They would not hold up to modern day kind of 208 00:10:46,720 --> 00:10:48,079 Speaker 7: scientific thinking at all. 209 00:10:48,320 --> 00:10:52,240 Speaker 2: God, what about what about Roosevelt versus Rocky Mountain? Like 210 00:10:52,320 --> 00:10:55,400 Speaker 2: you can look at those to someone who's looked at 211 00:10:55,400 --> 00:10:57,880 Speaker 2: a lot of elk, you can look at like a 212 00:10:57,960 --> 00:11:02,640 Speaker 2: mature Roosevelt bull and a mature Rocky Mountain bowl, and 213 00:11:03,000 --> 00:11:07,720 Speaker 2: there's like obvious physical differences, right yep, absolutely yeah, bigger 214 00:11:07,720 --> 00:11:12,520 Speaker 2: body on the Roosevelt, smaller, heavier antlers on the Roosevelt. 215 00:11:13,520 --> 00:11:16,920 Speaker 7: More tendency to crown out on Roosevelt. You're right, physically, 216 00:11:16,960 --> 00:11:19,199 Speaker 7: you can tell. And so it's interesting then that genetically 217 00:11:19,200 --> 00:11:21,480 Speaker 7: those breakout too. So it kind of supports that yeap 218 00:11:21,880 --> 00:11:24,480 Speaker 7: Julei elk being a little smaller Juley elk has a 219 00:11:24,520 --> 00:11:27,160 Speaker 7: population were bottleneck that got down to a very small 220 00:11:27,240 --> 00:11:30,160 Speaker 7: number of individuals and now they've recovered somewhat. So some 221 00:11:30,200 --> 00:11:32,840 Speaker 7: of those genetic differences might just be that they had 222 00:11:32,840 --> 00:11:34,880 Speaker 7: a lot of inbreeding when there were a small population, 223 00:11:34,960 --> 00:11:37,680 Speaker 7: and then you're there. But those physically two look different 224 00:11:37,880 --> 00:11:39,680 Speaker 7: than Roosevelt and a big rocky mountain. 225 00:11:39,920 --> 00:11:43,240 Speaker 2: So the two that are considered extinct are the Easterns, 226 00:11:43,280 --> 00:11:47,199 Speaker 2: which I think we're considered gone by like eighteen eighty 227 00:11:48,040 --> 00:11:50,040 Speaker 2: and the last ones might have been Pennsylvania. 228 00:11:50,120 --> 00:11:50,840 Speaker 5: I read. 229 00:11:51,640 --> 00:11:54,680 Speaker 2: You'd probably know better than me. And then there's these 230 00:11:54,800 --> 00:12:00,959 Speaker 2: Merriam's Elk, which which are southwestern elk from Arizona. Were 231 00:12:00,960 --> 00:12:05,040 Speaker 2: they in in any other like of the contiguous United 232 00:12:05,040 --> 00:12:07,040 Speaker 2: States or just Arizona. 233 00:12:07,440 --> 00:12:09,840 Speaker 7: Arizona and New Mexico. Yeah, and here's where the map 234 00:12:09,960 --> 00:12:13,240 Speaker 7: is wrong. A textbook came out called Elko North America actually, 235 00:12:13,280 --> 00:12:15,600 Speaker 7: and it showed these long two fingers of distribution going 236 00:12:15,640 --> 00:12:19,079 Speaker 7: into Mexico. But there's no evidence of that. It's publisher paper, 237 00:12:19,320 --> 00:12:21,679 Speaker 7: and they looked at all the archaeological digs and they 238 00:12:21,720 --> 00:12:24,920 Speaker 7: found no evidence of Elcan Mexico, so that that's in error. 239 00:12:24,920 --> 00:12:27,280 Speaker 7: If they were really Miriam Delk was described as being 240 00:12:27,600 --> 00:12:29,640 Speaker 7: central and northern Arizona and New Mexico. 241 00:12:30,360 --> 00:12:34,040 Speaker 2: Okay, so let's focus on them. Uh, since that's what 242 00:12:34,080 --> 00:12:38,800 Speaker 2: you're working on tell us like what you're trying to do, 243 00:12:39,080 --> 00:12:41,959 Speaker 2: and then then we'll get into like if you can 244 00:12:42,120 --> 00:12:44,640 Speaker 2: like way, I know your your work isn't done yet, 245 00:12:46,120 --> 00:12:49,120 Speaker 2: but are you trying to figure out it? Like if 246 00:12:49,120 --> 00:12:53,679 Speaker 2: they're like if they weren't a subspecies designation, or like 247 00:12:53,720 --> 00:12:56,199 Speaker 2: what is the work you're doing with Mariam Zelp. 248 00:12:56,280 --> 00:12:59,280 Speaker 7: And part of that is not just a g whiz thing. 249 00:12:59,360 --> 00:13:02,360 Speaker 7: Part of that is some people will complain and say, well, 250 00:13:02,400 --> 00:13:04,520 Speaker 7: you know, the Miriam's elk we had in the Southwest 251 00:13:04,520 --> 00:13:07,559 Speaker 7: were very different ecologically and now you've brought out from 252 00:13:07,600 --> 00:13:12,120 Speaker 7: Yellowstone in to replace them, and they're different, like more 253 00:13:12,200 --> 00:13:16,520 Speaker 7: damaging ecologically, which is there's no evidence, right, it's so 254 00:13:16,679 --> 00:13:18,960 Speaker 7: part of it is this complaint that you've got different 255 00:13:18,960 --> 00:13:22,520 Speaker 7: elk here, and that remains to be seen because if 256 00:13:22,520 --> 00:13:25,440 Speaker 7: you if you notice on that map northern and central 257 00:13:25,440 --> 00:13:28,240 Speaker 7: Arizona and New Mexico, but it's right up against southern 258 00:13:28,280 --> 00:13:32,640 Speaker 7: Colorado in southern Utah, and there's in Arizona there's a 259 00:13:32,679 --> 00:13:34,400 Speaker 7: thing we call the Grand Canyon, which is a really 260 00:13:34,440 --> 00:13:37,720 Speaker 7: big ditch that runs across. So there's some separation there, 261 00:13:37,720 --> 00:13:40,720 Speaker 7: but there's a connection all through southern Colorado into northern 262 00:13:40,720 --> 00:13:44,600 Speaker 7: New Mexico. And so there's a question about were those 263 00:13:44,640 --> 00:13:47,640 Speaker 7: really different because there were only three Miriam Delk specimens 264 00:13:47,679 --> 00:13:50,160 Speaker 7: that were saved for science in museums. So the last 265 00:13:50,200 --> 00:13:53,480 Speaker 7: couple of decades, sciencests have been talking about just three 266 00:13:53,520 --> 00:13:56,960 Speaker 7: specimens of Miriam Bell. So let's look at those known 267 00:13:57,000 --> 00:13:59,640 Speaker 7: Miriam Delk specimens, and there was only three when we started. 268 00:14:00,160 --> 00:14:03,880 Speaker 7: We spent I spent a week in Smithsonian, spent time 269 00:14:03,920 --> 00:14:07,559 Speaker 7: in the American Museum twice. We combed every Elk specimen 270 00:14:07,640 --> 00:14:11,160 Speaker 7: in there. We went to Chicago Museum, went to UC Berkeley, 271 00:14:11,600 --> 00:14:14,600 Speaker 7: looked at Elk specimens. We now have identified thirteen Miriam 272 00:14:14,640 --> 00:14:18,800 Speaker 7: Delk specimens instead of three. We have genetic samples from 273 00:14:18,960 --> 00:14:21,840 Speaker 7: all thirteen of those Miriam Delk specimens. 274 00:14:22,200 --> 00:14:26,720 Speaker 2: So first you, for one second, when were they gone 275 00:14:26,800 --> 00:14:27,640 Speaker 2: from Arizona? 276 00:14:28,600 --> 00:14:28,760 Speaker 5: Right? 277 00:14:28,840 --> 00:14:31,920 Speaker 7: So they're gone in nineteen o six, the last record 278 00:14:32,080 --> 00:14:34,840 Speaker 7: in Arizona, and about the same time in New Mexico. 279 00:14:35,360 --> 00:14:39,200 Speaker 7: We brought Yellowstone Elk in in nineteen thirteen through nineteen 280 00:14:39,280 --> 00:14:41,840 Speaker 7: twenty eight, basically the first on spot about the same 281 00:14:41,880 --> 00:14:44,480 Speaker 7: as what was happening in Pennsylvania with Eastern out They 282 00:14:44,560 --> 00:14:47,400 Speaker 7: were bringing Yellowstone elk about the same time in the 283 00:14:47,480 --> 00:14:50,080 Speaker 7: nineteen teens, and so we only had a gap from 284 00:14:50,160 --> 00:14:53,200 Speaker 7: nineteen oh six to nineteen thirteen where the old elk 285 00:14:53,280 --> 00:14:55,479 Speaker 7: died out and the new elk were brought in from Yellowstone. 286 00:14:55,560 --> 00:14:58,040 Speaker 7: So there's always been a question did some of the 287 00:14:58,080 --> 00:15:01,240 Speaker 7: original Miriam's elk where they down at the bottom of 288 00:15:01,360 --> 00:15:03,760 Speaker 7: canyon and they made it through that ten years or 289 00:15:03,800 --> 00:15:07,080 Speaker 7: so now interbred with Yellowstone elk and maybe Arizona elk 290 00:15:07,120 --> 00:15:09,480 Speaker 7: are big because they've got genetics from the Miriam belk. 291 00:15:09,600 --> 00:15:11,960 Speaker 7: There's a lot of talk about that, so that's an 292 00:15:12,000 --> 00:15:14,160 Speaker 7: interesting side part of it. So we've got these we 293 00:15:14,240 --> 00:15:18,160 Speaker 7: got thirteen samples instead of three extracted DNA. We send 294 00:15:18,200 --> 00:15:20,800 Speaker 7: in DNA from not only those one hundred year old 295 00:15:20,800 --> 00:15:23,720 Speaker 7: Miriam Belk samples, but one hundred year old Colorado samples 296 00:15:23,920 --> 00:15:26,560 Speaker 7: and one hundred year old Yellowstone National Park samples. So 297 00:15:26,560 --> 00:15:29,840 Speaker 7: we're comparing apples to apples because genetics has changed through time, 298 00:15:30,200 --> 00:15:33,120 Speaker 7: but we're comparing elk at that time one hundred years ago. 299 00:15:33,240 --> 00:15:35,440 Speaker 7: And we sent in fifty samples, and we got usable 300 00:15:35,520 --> 00:15:38,320 Speaker 7: DNA from forty eight of those fifty samples, which is 301 00:15:38,360 --> 00:15:40,680 Speaker 7: amazing When you're talking about one hundred year old chet 302 00:15:40,680 --> 00:15:43,840 Speaker 7: antler that we've got DNA out of So that was 303 00:15:43,880 --> 00:15:46,000 Speaker 7: really the first step is what samples are available? Can 304 00:15:46,040 --> 00:15:49,160 Speaker 7: we get DNA out of it? And now we're not complete. 305 00:15:49,160 --> 00:15:52,800 Speaker 7: There's a PhD student, Kenzie, who's doing this for PhD 306 00:15:52,920 --> 00:15:56,240 Speaker 7: and she's only a year in two, a four year PhD. 307 00:15:56,360 --> 00:15:59,600 Speaker 7: So we certainly don't have results, but we've got really 308 00:15:59,600 --> 00:16:02,600 Speaker 7: promised extraction to DNA. We've got some good quantities of 309 00:16:02,680 --> 00:16:05,840 Speaker 7: DNA to play with, and now analyzing whether there's any 310 00:16:05,880 --> 00:16:08,240 Speaker 7: differences between Miriam Delk and other help. 311 00:16:08,600 --> 00:16:11,720 Speaker 2: So you're you're still wait non results is basically where 312 00:16:11,720 --> 00:16:16,040 Speaker 2: they're at. It's kind of surprising to me that they, 313 00:16:16,240 --> 00:16:20,760 Speaker 2: you know, a species that was hunted and just like 314 00:16:21,120 --> 00:16:24,520 Speaker 2: considered extinct in nineteen oh six, like just barely over 315 00:16:24,560 --> 00:16:27,640 Speaker 2: one hundred years ago, that you had that much trouble 316 00:16:27,680 --> 00:16:31,640 Speaker 2: finding samples, Like you think there'd be old rax hanging 317 00:16:31,720 --> 00:16:36,320 Speaker 2: in barns and like bones pop it like it's you'd 318 00:16:36,360 --> 00:16:38,600 Speaker 2: think there'd be some around, right, right. 319 00:16:38,640 --> 00:16:41,400 Speaker 7: And I get those emails. But if you're if you're 320 00:16:41,400 --> 00:16:44,680 Speaker 7: doing science and you're analyzing differences between Miriam Delk and 321 00:16:44,720 --> 00:16:48,440 Speaker 7: other elk. You can't use some antler that someone had 322 00:16:48,440 --> 00:16:51,000 Speaker 7: in the bottom that said was Miriam Delk. So we've 323 00:16:51,000 --> 00:16:53,880 Speaker 7: got to make that clean break of known Miriam Delk 324 00:16:53,960 --> 00:16:57,200 Speaker 7: in museums. But it will also be interesting if we 325 00:16:57,280 --> 00:17:00,000 Speaker 7: find a difference between Miriam Delk genetically and other elk, 326 00:17:00,000 --> 00:17:02,120 Speaker 7: Well we can use that as a diagnostic tool to 327 00:17:02,120 --> 00:17:04,200 Speaker 7: test some of those interesting antlers that are. 328 00:17:04,240 --> 00:17:07,200 Speaker 2: Yeah round, So yeah, I wanted to pin you down 329 00:17:07,240 --> 00:17:10,240 Speaker 2: and get a verdict from you, but that's not going 330 00:17:10,320 --> 00:17:11,280 Speaker 2: to happen obviously. 331 00:17:12,760 --> 00:17:15,000 Speaker 1: Well I got to pin him down. Question why is 332 00:17:15,040 --> 00:17:16,399 Speaker 1: this worthy of your time? 333 00:17:17,600 --> 00:17:17,800 Speaker 2: Oh? 334 00:17:18,000 --> 00:17:18,080 Speaker 8: Not? 335 00:17:18,359 --> 00:17:20,560 Speaker 7: Like I said, not only the interesting part, but we 336 00:17:20,720 --> 00:17:23,880 Speaker 7: need to have some information to inform these criticisms that 337 00:17:24,040 --> 00:17:25,720 Speaker 7: you've got the wrong elk here. You know, you've got 338 00:17:25,720 --> 00:17:28,480 Speaker 7: this giant yellowstone elk and it's destroying the ass and 339 00:17:28,560 --> 00:17:32,680 Speaker 7: destroying the forest. And then also it's also of great 340 00:17:32,680 --> 00:17:35,040 Speaker 7: interest to our stakeholders and people that are interested in this. 341 00:17:35,680 --> 00:17:38,359 Speaker 7: Do we have any Miriam Duck jeans in today's Arizona helk. 342 00:17:38,400 --> 00:17:40,920 Speaker 7: There's a lot of people forever that have been talking 343 00:17:40,920 --> 00:17:43,880 Speaker 7: about that like constant chatter, and it just on that 344 00:17:43,960 --> 00:17:46,720 Speaker 7: alone will be pretty fascinating to have an answer for that. 345 00:17:47,280 --> 00:17:51,560 Speaker 2: Are you able to put out like an opinion yet? 346 00:17:51,600 --> 00:17:54,600 Speaker 2: Like were they different? Do you like, do you personally 347 00:17:54,640 --> 00:17:56,760 Speaker 2: think you're just like, wait. 348 00:17:56,560 --> 00:17:58,159 Speaker 5: He's a science man, I know that. 349 00:17:58,640 --> 00:18:00,520 Speaker 2: But you always got to ask. You got to try 350 00:18:00,560 --> 00:18:01,840 Speaker 2: and get them to say something. 351 00:18:02,560 --> 00:18:04,919 Speaker 7: Yeah, that's yeah, that's not the way science works. So 352 00:18:04,960 --> 00:18:05,399 Speaker 7: we'll see. 353 00:18:05,520 --> 00:18:08,080 Speaker 4: But but we're the mainstream media here, Jim, we need 354 00:18:08,080 --> 00:18:09,840 Speaker 4: to pin you down before the results are in. 355 00:18:10,640 --> 00:18:12,800 Speaker 7: No, I don't but I don't mind. I don't mind 356 00:18:12,880 --> 00:18:15,639 Speaker 7: highlighting the fact that we've got elk in Colorado that 357 00:18:15,720 --> 00:18:18,240 Speaker 7: come right down to the northern New Mexico border, and 358 00:18:18,280 --> 00:18:21,520 Speaker 7: you had alcohol through northern New Mexico. It's hard to 359 00:18:21,760 --> 00:18:25,320 Speaker 7: envision how just those elk in Arizona and New Mexico 360 00:18:25,680 --> 00:18:29,040 Speaker 7: were substantially different, right, I mean, what Grand Canyon over 361 00:18:29,160 --> 00:18:32,320 Speaker 7: by Arizona could be seen as a barrier, but you've 362 00:18:32,359 --> 00:18:35,760 Speaker 7: got what seems like continuous habitat, So it's hard to 363 00:18:35,880 --> 00:18:38,959 Speaker 7: vision how somehow they broke out to be really different 364 00:18:39,040 --> 00:18:39,760 Speaker 7: in Arizona. 365 00:18:40,680 --> 00:18:45,600 Speaker 2: There's like environmental factors involved too, Like why why are 366 00:18:45,760 --> 00:18:49,840 Speaker 2: Roosevelt elk significantly different than Rocky Mountain? 367 00:18:49,880 --> 00:18:50,000 Speaker 7: Now? 368 00:18:51,040 --> 00:18:54,760 Speaker 2: I would assume it's it's partially driven by the environment. 369 00:18:54,760 --> 00:18:58,040 Speaker 2: They live like very thick, dark forests, so they don't 370 00:18:58,080 --> 00:19:01,479 Speaker 2: need these huge antlers to display from a long distance. Like, 371 00:19:01,920 --> 00:19:04,320 Speaker 2: what are what are the reasons there. 372 00:19:04,040 --> 00:19:04,639 Speaker 5: Do you think? 373 00:19:05,160 --> 00:19:07,680 Speaker 7: Yeah, certainly when you have different ecological conditions, And that's 374 00:19:07,680 --> 00:19:09,840 Speaker 7: a great example, because you have like rainforests, and so 375 00:19:09,880 --> 00:19:12,800 Speaker 7: you have animals that tend to get darker in thick forests, 376 00:19:12,840 --> 00:19:14,800 Speaker 7: and animals out in the open plains like a rocky 377 00:19:14,840 --> 00:19:17,160 Speaker 7: mountain elk tend to be more lighter and more cream 378 00:19:17,320 --> 00:19:20,280 Speaker 7: like that. That that happens with a lot of different animals, 379 00:19:20,359 --> 00:19:23,760 Speaker 7: and also open plains animals are more visual, so there 380 00:19:23,920 --> 00:19:27,480 Speaker 7: their rump patches sometimes are more vibrant, more white, more contrasting. 381 00:19:27,800 --> 00:19:31,120 Speaker 7: Antlers are larger because they're more visible animals. If you're 382 00:19:31,440 --> 00:19:34,320 Speaker 7: Roosevelt elk sneaking around on the coastal rainforest, there's not 383 00:19:34,359 --> 00:19:36,879 Speaker 7: a lot of visual cues that people are using, and 384 00:19:36,920 --> 00:19:39,639 Speaker 7: so the animals can be smaller and darker in bodies, darker, 385 00:19:39,680 --> 00:19:41,960 Speaker 7: and that's just an adaptation of local conditions. 386 00:19:42,640 --> 00:19:46,359 Speaker 2: So I mean, with that in mind, it's hard to 387 00:19:46,400 --> 00:19:50,760 Speaker 2: imagine Mariam's being that much different from Rocky Mountain. 388 00:19:50,800 --> 00:19:50,960 Speaker 3: Ok. 389 00:19:51,359 --> 00:19:54,600 Speaker 5: You know it's right. Ecological habitat and nutrition is the same. 390 00:19:54,960 --> 00:19:57,480 Speaker 1: Yeah, and I think you see it on the eastern Well, 391 00:19:57,520 --> 00:20:00,840 Speaker 1: the elk that occupy the eastern range of elk, Now, 392 00:20:01,480 --> 00:20:05,280 Speaker 1: like they're antlers. When they're small, they look similar to ours, 393 00:20:05,400 --> 00:20:07,800 Speaker 1: but like as they get bigger, they get very crowned 394 00:20:07,800 --> 00:20:09,960 Speaker 1: out and they look very different. Like the bulls in 395 00:20:10,000 --> 00:20:13,080 Speaker 1: Pennsylvania look very different than there are bulls here. Part 396 00:20:13,119 --> 00:20:13,560 Speaker 1: of that. 397 00:20:13,520 --> 00:20:15,960 Speaker 2: Might just because they're not getting hunted as much, they 398 00:20:16,000 --> 00:20:18,000 Speaker 2: live longer, they got easier winners. 399 00:20:18,080 --> 00:20:18,280 Speaker 3: You know. 400 00:20:18,320 --> 00:20:20,600 Speaker 2: I don't know we're getting off on a tangent, but 401 00:20:21,119 --> 00:20:24,080 Speaker 2: I want to talk to you, Jim about what Johanna's 402 00:20:24,119 --> 00:20:28,600 Speaker 2: brought up, which is all these very successful elk reintroductions 403 00:20:28,600 --> 00:20:31,280 Speaker 2: that have taken place around the country. Like when I 404 00:20:31,359 --> 00:20:34,520 Speaker 2: was a kid, like seeing an elk in Pennsylvania was 405 00:20:34,600 --> 00:20:39,119 Speaker 2: like a big deal. It's like a very small reintroduced herd. 406 00:20:39,320 --> 00:20:41,080 Speaker 2: And now they've got a whole bunch of them. Like 407 00:20:41,440 --> 00:20:46,360 Speaker 2: you can watch these elk on live cams in Pennsylvania, 408 00:20:46,400 --> 00:20:49,040 Speaker 2: like during the rut, Like we've got these places where 409 00:20:49,080 --> 00:20:51,440 Speaker 2: they congregate and you can just watch them on your computer. 410 00:20:53,000 --> 00:20:56,800 Speaker 2: And those same reintroductions have happened in a few southeastern 411 00:20:56,800 --> 00:21:01,520 Speaker 2: states and in the Upper Midwest. And the interesting thing is, 412 00:21:01,560 --> 00:21:06,159 Speaker 2: like these are all like this is former habitat of 413 00:21:06,480 --> 00:21:09,879 Speaker 2: eastern elk, the eastern elk subspecies, which you said we 414 00:21:09,920 --> 00:21:12,600 Speaker 2: don't really know a lot about, and how much different 415 00:21:12,600 --> 00:21:18,400 Speaker 2: they might have been. I guess my question is is, like, 416 00:21:18,400 --> 00:21:25,000 Speaker 2: like how how like these subspecies categorizations, Like if you 417 00:21:25,040 --> 00:21:28,919 Speaker 2: can just plug a Rocky Mountain out into Pennsylvania or 418 00:21:30,600 --> 00:21:33,800 Speaker 2: the you know, the Smoking Great Smoking Mountain National Park, 419 00:21:33,920 --> 00:21:38,080 Speaker 2: Like how valuable are these subspecies distinctions if you can 420 00:21:38,160 --> 00:21:41,280 Speaker 2: just like put it out from Yellowstone into one of 421 00:21:41,359 --> 00:21:45,280 Speaker 2: these very different environments and they just they thrive, They 422 00:21:45,320 --> 00:21:46,119 Speaker 2: do just fine. 423 00:21:46,200 --> 00:21:48,280 Speaker 7: And you know, we see that with turkey certainly too, 424 00:21:48,359 --> 00:21:51,119 Speaker 7: with the turkey subspecies. But just because something a different 425 00:21:51,119 --> 00:21:53,360 Speaker 7: subspecies doesn't mean it's like not going to do really 426 00:21:53,359 --> 00:21:56,440 Speaker 7: well in a different environment, but it does have local 427 00:21:56,800 --> 00:22:00,439 Speaker 7: genetic adaptations and physical adaptations to that environment, so you 428 00:22:00,480 --> 00:22:02,880 Speaker 7: can't And then also you think about Rocky Mountain, Manitoba 429 00:22:02,920 --> 00:22:05,360 Speaker 7: and Eastern elk were probably the same, so when you're 430 00:22:05,400 --> 00:22:07,639 Speaker 7: moving those animals, they probably aren't much different than what 431 00:22:07,800 --> 00:22:11,800 Speaker 7: was there originally, even even Miriam Belk potentially. But if 432 00:22:11,800 --> 00:22:13,960 Speaker 7: you could take a Roosevelt Elk put in Pennsylvania and 433 00:22:14,000 --> 00:22:17,199 Speaker 7: they would probably do okay, but they're not adapted to 434 00:22:17,240 --> 00:22:19,920 Speaker 7: that environment, so there might be some underlying genetic things 435 00:22:19,920 --> 00:22:21,639 Speaker 7: that make it harder for him to thrive. 436 00:22:23,040 --> 00:22:25,520 Speaker 2: Cool. Well, you got to keep us posted on what 437 00:22:25,600 --> 00:22:28,280 Speaker 2: you find out. I guess you got three more years 438 00:22:28,280 --> 00:22:30,240 Speaker 2: of work you're looking at on this stuff. 439 00:22:30,359 --> 00:22:33,600 Speaker 7: Yep, that's right. And there's other people doing a majority 440 00:22:33,600 --> 00:22:35,400 Speaker 7: of the work. I did a lot of the sampling 441 00:22:35,600 --> 00:22:38,280 Speaker 7: and involved in the beginning of it. Now the geneticists 442 00:22:38,280 --> 00:22:41,840 Speaker 7: are sitting at the genetics lab bench doing most of 443 00:22:41,880 --> 00:22:45,480 Speaker 7: the work. One interesting thing is that Seeheart Miriam, who 444 00:22:45,560 --> 00:22:46,280 Speaker 7: miriams Elk is. 445 00:22:46,320 --> 00:22:47,200 Speaker 2: Named after him. 446 00:22:47,359 --> 00:22:51,399 Speaker 7: He's the one who named Roosevelt Elk after Theodore Roosevelt. 447 00:22:51,760 --> 00:22:53,840 Speaker 7: And there's a letter that's on display at the American 448 00:22:53,880 --> 00:22:57,200 Speaker 7: Museum and Atrohistory in New York, and it's Theodore Roosevelt 449 00:22:57,200 --> 00:23:01,040 Speaker 7: writing back on the Department of Navy letterhead thanking See 450 00:23:01,040 --> 00:23:04,000 Speaker 7: Heart Miriam for naming that elk after him. 451 00:23:04,400 --> 00:23:08,040 Speaker 2: Yeah. Wow, Yeah, we talked about this a little bit 452 00:23:08,160 --> 00:23:12,760 Speaker 2: through email. Miriams. How many how many species does that 453 00:23:12,840 --> 00:23:14,600 Speaker 2: guy have his name attached to? 454 00:23:15,240 --> 00:23:18,440 Speaker 7: He named seventy one species, but not with his own name. 455 00:23:18,520 --> 00:23:22,399 Speaker 7: He has about twelve species that have his name on it. 456 00:23:22,880 --> 00:23:23,080 Speaker 5: Yeah. 457 00:23:23,280 --> 00:23:26,879 Speaker 7: One interesting factoid too, is that Vernon Bailey used to 458 00:23:26,880 --> 00:23:30,080 Speaker 7: work for Sea Heart Miriam as a mammalogist. Vernon Bailey 459 00:23:30,119 --> 00:23:34,640 Speaker 7: then married Miriam's sister, and Vernon Bailey is the guy 460 00:23:34,680 --> 00:23:36,560 Speaker 7: who described Eastern Elk for science. 461 00:23:36,840 --> 00:23:37,000 Speaker 1: Huh. 462 00:23:37,119 --> 00:23:40,159 Speaker 7: So a lot of the same famous people running in 463 00:23:40,200 --> 00:23:42,480 Speaker 7: the same circles, as you can see by that picture 464 00:23:42,560 --> 00:23:44,800 Speaker 7: with See Heart Miriam driving Teddy Roosevelt around. 465 00:23:45,040 --> 00:23:45,280 Speaker 2: Yeah. 466 00:23:45,600 --> 00:23:47,840 Speaker 1: Sure, Jim, are you hoping to one day put attach 467 00:23:47,920 --> 00:23:51,200 Speaker 1: your name to a new subspecies heffelfinger eye. 468 00:23:51,200 --> 00:23:54,040 Speaker 7: I was oping a deer species heffelfinger eye would be nice. 469 00:23:54,240 --> 00:23:56,600 Speaker 5: Yeah, we'll keep our eyes out for one of those 470 00:23:56,640 --> 00:23:57,280 Speaker 5: running around. 471 00:23:57,520 --> 00:24:00,320 Speaker 2: We'll let you know, all right, Jim, We're gonna you 472 00:24:00,359 --> 00:24:03,080 Speaker 2: go have fun at that Big Boone and Crockett conference 473 00:24:03,080 --> 00:24:06,040 Speaker 2: you're at right now, and we'll talk to you. We'll 474 00:24:06,040 --> 00:24:06,880 Speaker 2: talk to you soon. 475 00:24:06,760 --> 00:24:07,600 Speaker 5: Thanks, Jim. 476 00:24:08,080 --> 00:24:08,320 Speaker 3: Yep. 477 00:24:08,600 --> 00:24:11,399 Speaker 2: Yeah, interesting stuff. 478 00:24:11,520 --> 00:24:14,000 Speaker 4: I want Jim to you know, it sounds like there's 479 00:24:14,000 --> 00:24:16,480 Speaker 4: some people in Arizona who are upset about all these 480 00:24:16,480 --> 00:24:19,440 Speaker 4: big giant bulls walking around and they want some smaller 481 00:24:19,680 --> 00:24:22,560 Speaker 4: elk I like Jim to make those connections for us. 482 00:24:22,720 --> 00:24:25,360 Speaker 5: Sure, I'd be happy to help them with that problem. 483 00:24:25,800 --> 00:24:28,760 Speaker 1: Well, unfortunately, I think it's probably people that just don't 484 00:24:28,800 --> 00:24:30,879 Speaker 1: want hunting in general. 485 00:24:30,680 --> 00:24:32,160 Speaker 3: Right exactly. 486 00:24:34,080 --> 00:24:36,920 Speaker 2: Let's move on to a news round up. I assigned 487 00:24:36,960 --> 00:24:40,160 Speaker 2: these guys a little homework to find some interesting news 488 00:24:40,160 --> 00:24:42,440 Speaker 2: stuff that you guys should know about. I think we've 489 00:24:42,480 --> 00:24:46,560 Speaker 2: got Randall first, Randal. What are you gonna fill people 490 00:24:46,600 --> 00:24:46,920 Speaker 2: in on? 491 00:24:47,640 --> 00:24:51,520 Speaker 4: Yeah? Uh, this is not a very fun or exciting 492 00:24:52,160 --> 00:24:53,200 Speaker 4: news topic. 493 00:24:52,960 --> 00:24:54,800 Speaker 1: But let's do it anyway. 494 00:24:54,840 --> 00:24:57,640 Speaker 4: I feel like this this season, I've probably seen more 495 00:24:57,680 --> 00:25:03,600 Speaker 4: news stories than years pasted about accidental one hundred deaths 496 00:25:03,920 --> 00:25:07,680 Speaker 4: from from gunshot wounds. The most recent one I saw 497 00:25:07,880 --> 00:25:11,520 Speaker 4: was in Pennsylvania, which just opened like last week. Guy 498 00:25:11,600 --> 00:25:15,119 Speaker 4: was shot in a deer drive. There's another one in 499 00:25:15,119 --> 00:25:18,160 Speaker 4: in Texas. And then there's two ones actually very close 500 00:25:18,200 --> 00:25:21,280 Speaker 4: to home, uh here in Montana and another one in Idaho, 501 00:25:21,800 --> 00:25:25,920 Speaker 4: and those actually involved law enforcement officers on their time off. 502 00:25:26,960 --> 00:25:30,040 Speaker 4: And and those two cases and the one that I 503 00:25:30,080 --> 00:25:34,320 Speaker 4: saw in Texas, the circumstances were very similar. It was 504 00:25:34,320 --> 00:25:37,040 Speaker 4: getting in and out of a vehicle and casing and 505 00:25:37,119 --> 00:25:42,040 Speaker 4: uncasing firearms. And it's just a good reminder, I guess 506 00:25:42,080 --> 00:25:45,840 Speaker 4: to always, you know, keep safety in front of mind. 507 00:25:46,119 --> 00:25:48,359 Speaker 4: And no one ever thinks they're going to be that 508 00:25:48,400 --> 00:25:52,520 Speaker 4: person involved in an accident like that. And you know, 509 00:25:52,920 --> 00:25:55,560 Speaker 4: we before the before we started recording here, we're all 510 00:25:55,600 --> 00:25:58,080 Speaker 4: saying we've been in situations where someone had a loaded 511 00:25:58,119 --> 00:25:59,440 Speaker 4: gun that they thought was unloaded. 512 00:25:59,480 --> 00:26:02,240 Speaker 5: And you know, that. 513 00:26:02,280 --> 00:26:05,680 Speaker 4: Stuff only happens when you when you aren't constantly challenging 514 00:26:05,720 --> 00:26:08,359 Speaker 4: yourself like did I unload this? 515 00:26:09,000 --> 00:26:10,639 Speaker 5: You know, did I see them unload this? 516 00:26:11,440 --> 00:26:14,320 Speaker 4: And and it's just always got to be front of mine. 517 00:26:15,520 --> 00:26:17,720 Speaker 4: So yeah, I don't know that I've got much else there. 518 00:26:18,400 --> 00:26:22,119 Speaker 4: The one thing I will say in pulling these stories together, 519 00:26:22,720 --> 00:26:24,359 Speaker 4: and someone had sent me one of these earlier in 520 00:26:24,359 --> 00:26:27,840 Speaker 4: the year. There are fundraisers for the families of the 521 00:26:27,920 --> 00:26:33,359 Speaker 4: two law enforcement officers who who died. One was a 522 00:26:34,920 --> 00:26:38,359 Speaker 4: UH law enforcement officer from California who died in a 523 00:26:38,440 --> 00:26:43,080 Speaker 4: in a hunt in Idaho, I think in October. And 524 00:26:43,119 --> 00:26:46,440 Speaker 4: his name is Nathan Cass k A A S. And 525 00:26:46,480 --> 00:26:48,800 Speaker 4: there's if you go to help aher dot com, there's 526 00:26:48,800 --> 00:26:51,040 Speaker 4: a fundraiser for his wife and kids. 527 00:26:51,119 --> 00:26:51,600 Speaker 5: And then. 528 00:26:53,200 --> 00:26:56,920 Speaker 4: A guy named Michael flore who is a I believe 529 00:26:56,920 --> 00:26:59,639 Speaker 4: he was a sheriff's deputy with Galatin County here in 530 00:26:59,720 --> 00:27:04,280 Speaker 4: Monte And there's a go fundme for Michael floor f 531 00:27:04,640 --> 00:27:09,200 Speaker 4: l o h R. So, you know, this time of year, 532 00:27:09,240 --> 00:27:12,320 Speaker 4: it's we all look forward to it, and then when 533 00:27:12,320 --> 00:27:16,320 Speaker 4: it's gone, we're all sad, you know. But and it's 534 00:27:16,440 --> 00:27:18,040 Speaker 4: kind of fun to tell stories and do all that, 535 00:27:18,119 --> 00:27:20,960 Speaker 4: but it's very serious business whenever you have loaded guns around. 536 00:27:21,000 --> 00:27:23,680 Speaker 4: So just seeing all these in the headlines, I felt 537 00:27:23,680 --> 00:27:26,120 Speaker 4: compelled to It's interesting. 538 00:27:26,160 --> 00:27:30,040 Speaker 2: I doubt that there's been more this year on average 539 00:27:30,040 --> 00:27:33,359 Speaker 2: than in the past, you know, accidental like involving hunters, 540 00:27:33,400 --> 00:27:36,760 Speaker 2: accidental shooting desks. And I would also guess that in 541 00:27:36,800 --> 00:27:40,240 Speaker 2: the same period of time there were way more accidental 542 00:27:40,240 --> 00:27:44,160 Speaker 2: shooting desks among non hunters that didn't make the news. 543 00:27:44,200 --> 00:27:48,320 Speaker 2: But these things tend to hit the headlines for whatever reason. 544 00:27:49,800 --> 00:27:53,040 Speaker 2: But it is just a great reminder just to like 545 00:27:53,320 --> 00:27:54,120 Speaker 2: always be safe. 546 00:27:54,200 --> 00:27:56,240 Speaker 1: Yeah, and sometimes you got to get up in people's 547 00:27:56,240 --> 00:27:58,600 Speaker 1: faces about it because people like to act like it's 548 00:27:58,600 --> 00:28:02,000 Speaker 1: not a big deal. And as a guide, you learn 549 00:28:02,119 --> 00:28:05,480 Speaker 1: very quickly. That like it's a there's no it's a 550 00:28:05,520 --> 00:28:06,600 Speaker 1: no strike policy. 551 00:28:06,760 --> 00:28:06,960 Speaker 6: Yeah. 552 00:28:07,000 --> 00:28:09,479 Speaker 1: I mean, you just don't put up with any of it. 553 00:28:09,520 --> 00:28:13,040 Speaker 1: And if you have someone in your group that continues 554 00:28:13,080 --> 00:28:14,520 Speaker 1: to do it, you need to quit hunting with them, 555 00:28:14,640 --> 00:28:16,920 Speaker 1: right because it's just a matter of time till they 556 00:28:16,920 --> 00:28:17,520 Speaker 1: make a mistake. 557 00:28:17,640 --> 00:28:21,000 Speaker 4: Yeah, And it's it's easy to keep all that stuff 558 00:28:22,160 --> 00:28:24,600 Speaker 4: in mind when you're at the range and you're taking 559 00:28:24,600 --> 00:28:27,959 Speaker 4: your time, and and it's you're very methodical and how 560 00:28:28,000 --> 00:28:30,320 Speaker 4: you approach it. But when you're hunting, you know, you're cold, 561 00:28:30,320 --> 00:28:33,120 Speaker 4: you're tired, there's animals moving quickly. 562 00:28:33,200 --> 00:28:33,760 Speaker 5: You might. 563 00:28:35,480 --> 00:28:37,679 Speaker 4: Wear yourself out to the point that you're no longer 564 00:28:37,720 --> 00:28:40,080 Speaker 4: thinking straight. And you just got to always double check 565 00:28:40,080 --> 00:28:43,960 Speaker 4: and triple check. And that's like even with when I'm 566 00:28:44,040 --> 00:28:46,160 Speaker 4: hunting with my wife, I'll ask her, like, did you 567 00:28:46,240 --> 00:28:48,400 Speaker 4: unload it? And she'll hand it She'll say yes and 568 00:28:48,440 --> 00:28:50,440 Speaker 4: hand it to me, and I'll stick my finger up 569 00:28:50,440 --> 00:28:52,840 Speaker 4: in the in the chamber, you know, just yeah. 570 00:28:52,720 --> 00:28:54,800 Speaker 2: And I think you're just begging for trouble if you're 571 00:28:54,800 --> 00:28:58,200 Speaker 2: the kind of hunter who's like it's hard not to be. 572 00:28:58,320 --> 00:29:00,960 Speaker 2: But like maybe you're driving from spot to spot, or 573 00:29:00,960 --> 00:29:04,800 Speaker 2: maybe you're even road hunting, We're like, oh, I got 574 00:29:04,800 --> 00:29:07,280 Speaker 2: to be ready. I'm in the truck, but I gotta 575 00:29:07,360 --> 00:29:12,040 Speaker 2: be ready, like having a like not even having one 576 00:29:12,040 --> 00:29:14,160 Speaker 2: of the pipe, having a clip in the rifle, whatever 577 00:29:14,200 --> 00:29:16,240 Speaker 2: it might be. Like, I don't think you can be 578 00:29:16,360 --> 00:29:19,800 Speaker 2: thinking about like what happens if a buck pops out 579 00:29:19,880 --> 00:29:22,800 Speaker 2: right next to the road kind of thing or stuff 580 00:29:22,840 --> 00:29:23,200 Speaker 2: like that. 581 00:29:23,640 --> 00:29:26,160 Speaker 1: Oh it's killing me. This fall in Wisconsin, I was 582 00:29:26,240 --> 00:29:29,400 Speaker 1: climbing trees a bunch and going up in a saddle. 583 00:29:29,440 --> 00:29:31,480 Speaker 1: I would have to pull my rifle up, you know, 584 00:29:31,560 --> 00:29:34,800 Speaker 1: with the string. Yeah, And of course I wanted to 585 00:29:34,800 --> 00:29:36,760 Speaker 1: be unloaded when I was doing that, because you're literally 586 00:29:36,840 --> 00:29:38,880 Speaker 1: pointing it up. Well, I guess you could pull it 587 00:29:38,960 --> 00:29:42,560 Speaker 1: up button first either way, but yeah, you don't want 588 00:29:42,640 --> 00:29:45,760 Speaker 1: to be loaded. But the stink the bad part is 589 00:29:45,760 --> 00:29:47,720 Speaker 1: is that when you're in that tree and it's you know, 590 00:29:47,760 --> 00:29:51,320 Speaker 1: thirty minutes before daylight and it's super quiet, and then 591 00:29:51,360 --> 00:29:55,480 Speaker 1: you gotta rack it, you know. Oh god, it almost 592 00:29:55,480 --> 00:29:57,360 Speaker 1: made me want to like pull a loaded gun up 593 00:29:57,600 --> 00:29:59,880 Speaker 1: up the tree, but which I never did, but like 594 00:30:00,360 --> 00:30:03,040 Speaker 1: I just I learned to. Actually, I would take extra 595 00:30:03,080 --> 00:30:06,120 Speaker 1: clothes so I could like grab it cover the whole 596 00:30:06,160 --> 00:30:10,040 Speaker 1: action with a jacket and then slowly just slide one 597 00:30:10,080 --> 00:30:12,400 Speaker 1: in there and try to make it as quiet as 598 00:30:12,440 --> 00:30:12,760 Speaker 1: I could. 599 00:30:13,000 --> 00:30:15,200 Speaker 5: Yeah, no shortcuts. 600 00:30:14,800 --> 00:30:16,960 Speaker 2: Yep, be honest, what do you what do you got 601 00:30:17,000 --> 00:30:19,600 Speaker 2: going big news out of Idaho? 602 00:30:19,720 --> 00:30:22,040 Speaker 1: I think it's big news. You know, a lot of 603 00:30:22,120 --> 00:30:24,360 Speaker 1: us that live here in Montana and people that live 604 00:30:24,440 --> 00:30:28,520 Speaker 1: all over this country like to hunt Idaho. You don't 605 00:30:28,640 --> 00:30:30,440 Speaker 1: really want to go hunt there if you're into like 606 00:30:30,520 --> 00:30:33,920 Speaker 1: elkin deer, because the wolves have eaten most of them. 607 00:30:34,040 --> 00:30:35,920 Speaker 1: But if you want to give it a shot, they're 608 00:30:35,960 --> 00:30:37,880 Speaker 1: going to make it a little bit easier. A lot 609 00:30:37,880 --> 00:30:42,320 Speaker 1: of us complained in years past. This has all happened 610 00:30:42,320 --> 00:30:45,880 Speaker 1: in probably the last ten years, because ten years ago 611 00:30:45,920 --> 00:30:48,640 Speaker 1: I hunted Idaho and I was literally able to buy 612 00:30:49,360 --> 00:30:52,920 Speaker 1: a deer license at the gas station with like five 613 00:30:53,000 --> 00:30:55,360 Speaker 1: days left in the season. And when I bought it, 614 00:30:55,400 --> 00:30:59,040 Speaker 1: the guy offered me a second one. That is no 615 00:30:59,160 --> 00:31:02,800 Speaker 1: longer the case. The last whatever. You know, five to 616 00:31:02,920 --> 00:31:07,160 Speaker 1: ten years, you've had to either go in and stand 617 00:31:07,200 --> 00:31:10,120 Speaker 1: in line or stand in a digital line like. 618 00:31:10,080 --> 00:31:12,320 Speaker 2: A queue stand in line in Idaho. 619 00:31:12,080 --> 00:31:16,120 Speaker 1: Yeah, in Idaho, or get online and stand in a 620 00:31:16,200 --> 00:31:18,840 Speaker 1: digital queue and they gave you a number, and uh, 621 00:31:18,920 --> 00:31:20,440 Speaker 1: you know that's kind of the order that you would 622 00:31:20,480 --> 00:31:23,360 Speaker 1: be you'd get to try to buy a license. And 623 00:31:24,600 --> 00:31:27,680 Speaker 1: it was a mess. It was hard. I think there's 624 00:31:27,720 --> 00:31:30,600 Speaker 1: a lot of people gaming. The system was forever, and. 625 00:31:30,680 --> 00:31:33,600 Speaker 5: They had more technology errors than we do on this program. 626 00:31:33,680 --> 00:31:36,720 Speaker 1: Right, it was not it was not pretty bad. 627 00:31:37,480 --> 00:31:40,600 Speaker 2: The way it worked is you were like, if you 628 00:31:40,640 --> 00:31:42,920 Speaker 2: were going to do this online thing, you were assigned 629 00:31:42,960 --> 00:31:45,400 Speaker 2: a random number for a position in line. 630 00:31:45,560 --> 00:31:48,480 Speaker 1: Yeah. So like last year, I tried it, and I 631 00:31:48,480 --> 00:31:51,800 Speaker 1: think I had five devices open, Like I had my 632 00:31:51,840 --> 00:31:54,840 Speaker 1: wife's phone, my phone, a couple of computers, maybe even 633 00:31:54,920 --> 00:31:58,560 Speaker 1: like my daughter's iPad or something. Right, the lowest number 634 00:31:58,640 --> 00:32:01,880 Speaker 1: I had was seven thousand and something. Wasn't going to 635 00:32:01,880 --> 00:32:03,320 Speaker 1: get a tag, or at least not one of tag 636 00:32:03,400 --> 00:32:07,400 Speaker 1: attack you want, I want it. So now they've listened 637 00:32:07,480 --> 00:32:11,280 Speaker 1: to the complaints and they're changing it. It's it's going 638 00:32:11,360 --> 00:32:15,080 Speaker 1: to be just a straight up application process, very short 639 00:32:15,120 --> 00:32:18,000 Speaker 1: application period, which I was surprised about. December fifth to 640 00:32:18,040 --> 00:32:22,960 Speaker 1: the fifteenth. It's actually opens tomorrow. You have ten days 641 00:32:23,040 --> 00:32:25,200 Speaker 1: to to do it. You have to buy a hunting 642 00:32:25,240 --> 00:32:30,080 Speaker 1: license to apply. The hunting license is non refundable. The 643 00:32:30,120 --> 00:32:32,400 Speaker 1: way I look at it when I do that is 644 00:32:32,480 --> 00:32:35,000 Speaker 1: just that you know, you're chipping in on conservation, sure, 645 00:32:35,040 --> 00:32:36,719 Speaker 1: because there's a good chance you're not going to get 646 00:32:36,760 --> 00:32:38,480 Speaker 1: the tag. You're not going to get that. I think 647 00:32:38,520 --> 00:32:40,440 Speaker 1: it's like one hundred and sixty. 648 00:32:40,640 --> 00:32:42,880 Speaker 2: Yeah, it's just not nothing like in. 649 00:32:42,840 --> 00:32:44,600 Speaker 5: The upper half of the one hundreds. 650 00:32:44,920 --> 00:32:48,520 Speaker 2: You know, I think there will be people that are like, nah, 651 00:32:48,560 --> 00:32:50,600 Speaker 2: you know, I'm not that committed, but the people who 652 00:32:50,640 --> 00:32:54,520 Speaker 2: are committed will pay it. It's something other states to do. Uh, 653 00:32:55,120 --> 00:32:57,920 Speaker 2: So you know, it's something to think about. You're like, 654 00:32:58,280 --> 00:33:00,520 Speaker 2: you could end up not getting a tag and you're 655 00:33:00,560 --> 00:33:02,080 Speaker 2: still in for whatever. 656 00:33:03,720 --> 00:33:08,360 Speaker 1: And this is just for general season, like regular old 657 00:33:08,400 --> 00:33:10,360 Speaker 1: what used to be, you know, what you'd call an 658 00:33:10,360 --> 00:33:12,760 Speaker 1: over the counter attack. This is not for their what 659 00:33:12,800 --> 00:33:14,960 Speaker 1: they call their controlled hunts. And so if you're like 660 00:33:15,040 --> 00:33:17,200 Speaker 1: looking to apply for a special unit for a big 661 00:33:17,240 --> 00:33:20,360 Speaker 1: Balkanist special date range, this is not it. This is 662 00:33:20,800 --> 00:33:22,520 Speaker 1: just for like the general season. 663 00:33:23,160 --> 00:33:27,200 Speaker 2: You still have to pick like a unit, yeah right, yes, units. 664 00:33:27,800 --> 00:33:29,560 Speaker 1: Non residents have to have to pick a unit, but 665 00:33:29,560 --> 00:33:33,880 Speaker 1: it's for like the general season. I think I think 666 00:33:33,880 --> 00:33:38,120 Speaker 1: it's gonna be good, hopefully, it'll there'd be less stress, 667 00:33:38,520 --> 00:33:41,160 Speaker 1: and there's no stress. Correct me if I'm wrong, but 668 00:33:41,200 --> 00:33:44,400 Speaker 1: there's no. It's a total lottery, right, Like, there's no 669 00:33:44,680 --> 00:33:47,240 Speaker 1: They're not gonna have a preference points system or anything 670 00:33:47,360 --> 00:33:47,600 Speaker 1: like that. 671 00:33:47,640 --> 00:33:49,160 Speaker 3: It's just gonna be a pure lottery. 672 00:33:49,320 --> 00:33:52,120 Speaker 5: Yeah, I Jaho doesn't have points for anything, right. 673 00:33:52,600 --> 00:33:53,200 Speaker 1: Which I like. 674 00:33:53,480 --> 00:33:54,160 Speaker 6: Yeah, I like. 675 00:33:54,280 --> 00:33:56,640 Speaker 1: I mean you could if you're an unlucky person, Uh, 676 00:33:56,760 --> 00:33:59,120 Speaker 1: you could go your entire life and never draw a 677 00:33:59,240 --> 00:34:03,680 Speaker 1: tag there. Yeah, you know, it is what it is. 678 00:34:03,760 --> 00:34:06,600 Speaker 1: I like this system better than what like Colorado's got going. 679 00:34:06,800 --> 00:34:07,200 Speaker 6: Yeah. 680 00:34:07,560 --> 00:34:10,879 Speaker 4: Sure, and I think like the new you know, more 681 00:34:10,920 --> 00:34:12,680 Speaker 4: and more things are going to a draw and like 682 00:34:12,719 --> 00:34:15,080 Speaker 4: that's a bummer. But the way that it was working 683 00:34:15,160 --> 00:34:19,320 Speaker 4: before it if you could fly to Idaho and spend 684 00:34:19,320 --> 00:34:21,840 Speaker 4: money on a hotel room, you know you were going 685 00:34:21,920 --> 00:34:23,840 Speaker 4: to get it, or or if you had an outfit 686 00:34:23,920 --> 00:34:25,640 Speaker 4: or who would wait in line for you, you'd get it. 687 00:34:25,640 --> 00:34:26,640 Speaker 5: So this just makes the. 688 00:34:29,120 --> 00:34:29,760 Speaker 1: Playing fields. 689 00:34:30,120 --> 00:34:32,640 Speaker 5: It makes it levels the playing field for people. And yeah, 690 00:34:32,680 --> 00:34:34,040 Speaker 5: like you said, I think it takes a lot of 691 00:34:34,080 --> 00:34:34,839 Speaker 5: stress out of it. 692 00:34:36,160 --> 00:34:36,440 Speaker 3: Yeah. 693 00:34:36,520 --> 00:34:38,839 Speaker 1: And what else I like about Idaho and I'll leave 694 00:34:38,880 --> 00:34:41,320 Speaker 1: it at this, is that they they really. I forget 695 00:34:41,360 --> 00:34:45,760 Speaker 1: what the numbers were, but they cap they're non resident numbers, 696 00:34:45,840 --> 00:34:48,200 Speaker 1: and it's not that high. It's like like ten to 697 00:34:48,200 --> 00:34:53,680 Speaker 1: fifteen k per species per you know, deer and elk, 698 00:34:53,800 --> 00:34:57,719 Speaker 1: and so it's that way they're gonna they're they're going 699 00:34:57,800 --> 00:35:00,160 Speaker 1: to give their residence and the few non resident to 700 00:35:00,200 --> 00:35:01,840 Speaker 1: get to hunt there. They're going to give them a 701 00:35:01,920 --> 00:35:04,680 Speaker 1: quality hunt. And I would much rather have that every 702 00:35:04,760 --> 00:35:08,279 Speaker 1: couple three years than go and have a crowded hunt 703 00:35:08,280 --> 00:35:08,680 Speaker 1: every year. 704 00:35:08,760 --> 00:35:12,200 Speaker 5: Oh yeah, for sure, But don't go hunt there because 705 00:35:12,200 --> 00:35:13,280 Speaker 5: of the wolves and the bears. 706 00:35:13,400 --> 00:35:13,680 Speaker 9: Yeah. 707 00:35:13,840 --> 00:35:15,799 Speaker 1: I mean, like I said, last time I was there, 708 00:35:15,960 --> 00:35:18,800 Speaker 1: it didn't seem like there are many wolves or many 709 00:35:19,000 --> 00:35:22,480 Speaker 1: elk or deer left because of the wolves and lions 710 00:35:22,520 --> 00:35:24,640 Speaker 1: eating them all. But it's up to you. 711 00:35:24,760 --> 00:35:28,400 Speaker 2: Yeah, give it a try if you're feeling adventurous. Speaking 712 00:35:28,440 --> 00:35:33,400 Speaker 2: of wolves wolves, been a while since we've done a 713 00:35:33,480 --> 00:35:37,240 Speaker 2: Colorado wolf update, and there's there's been some some action 714 00:35:37,480 --> 00:35:39,360 Speaker 2: down there, so I thought i'd give you guys a 715 00:35:39,360 --> 00:35:45,439 Speaker 2: little update. They started their reintroduction famously started their reintroduction 716 00:35:45,560 --> 00:35:49,280 Speaker 2: program a couple of years ago after a ballot box 717 00:35:49,320 --> 00:35:52,759 Speaker 2: initiative that's been going on for a little while now. 718 00:35:52,960 --> 00:35:56,640 Speaker 2: There's currently about thirty in the state of Colorado, thirty 719 00:35:56,640 --> 00:36:02,239 Speaker 2: wolves and those were sores from Orgon and Canada or 720 00:36:02,600 --> 00:36:06,760 Speaker 2: those part of those thirty or offspring of those reintroduced wolves. 721 00:36:08,040 --> 00:36:10,640 Speaker 2: Over the last couple of years, at least a dozen 722 00:36:10,840 --> 00:36:16,600 Speaker 2: have died from various causes, including being lethally removed. 723 00:36:16,200 --> 00:36:17,840 Speaker 3: For livestock predation. 724 00:36:19,800 --> 00:36:25,240 Speaker 2: The state's got a goal of reintroducing at least another twenty, 725 00:36:24,880 --> 00:36:29,480 Speaker 2: with an end goal of establishing a population at two hundred. 726 00:36:30,719 --> 00:36:34,759 Speaker 2: But the thing is, it's like they're running out of options. 727 00:36:34,800 --> 00:36:37,320 Speaker 2: They found themselves in a position that where they're running 728 00:36:37,320 --> 00:36:41,520 Speaker 2: out of options to find places to get wolves. The 729 00:36:41,520 --> 00:36:46,920 Speaker 2: ones they got from Oregon ended up being livestock killers. 730 00:36:47,320 --> 00:36:50,920 Speaker 2: The ones they got from British Columbia I think have 731 00:36:51,239 --> 00:36:53,920 Speaker 2: maybe also been some of them have been involved in 732 00:36:53,960 --> 00:36:59,759 Speaker 2: some of that livestock predation. But either way, like Colorado 733 00:37:00,320 --> 00:37:03,840 Speaker 2: wants more wolves, it's to be determined whether they're going 734 00:37:03,920 --> 00:37:08,640 Speaker 2: to get more wolves. Idaho, Wyoming, and Montana they've always 735 00:37:08,680 --> 00:37:14,560 Speaker 2: refused to give wolves to Colorado, largely for political reasons, 736 00:37:16,040 --> 00:37:20,520 Speaker 2: and recently the US Fish and Wildlife Service mandated that 737 00:37:20,600 --> 00:37:24,200 Speaker 2: Colorado has to source its wolves from the Northern Rockies 738 00:37:24,280 --> 00:37:28,120 Speaker 2: in the United States, meaning no wolves from Canada, no 739 00:37:28,239 --> 00:37:32,640 Speaker 2: wolves from Alaska, so now they're getting pinched by the 740 00:37:32,760 --> 00:37:37,360 Speaker 2: Fish and Wildlife Service. Then they turned to Washington recently, 741 00:37:38,920 --> 00:37:43,240 Speaker 2: and Washington declined because they feel like they can't afford 742 00:37:43,280 --> 00:37:47,920 Speaker 2: to take wolves out of Washington and risk risk the 743 00:37:47,960 --> 00:37:53,040 Speaker 2: population they have reducing the population they have there. Oregon 744 00:37:53,480 --> 00:37:57,719 Speaker 2: also declined to provide to provide more wolves to Colorado, 745 00:37:57,800 --> 00:37:59,960 Speaker 2: So like two states that were kind of like politic 746 00:38:00,320 --> 00:38:03,480 Speaker 2: aligned with Colorado, it just bailed and said nope, we're 747 00:38:03,520 --> 00:38:06,719 Speaker 2: not giving them to you. And those were really Colorado's 748 00:38:06,800 --> 00:38:09,879 Speaker 2: last best options to get wolves. I don't think they'll 749 00:38:09,880 --> 00:38:12,160 Speaker 2: be able to get them like Great Lakes wolves from 750 00:38:12,160 --> 00:38:17,160 Speaker 2: Wisconsin or Minnesota. So it's kind of we're kind of 751 00:38:17,200 --> 00:38:20,200 Speaker 2: in a holding pattern to see if this reintroduction is 752 00:38:20,239 --> 00:38:24,400 Speaker 2: going to continue. There are other that could go to 753 00:38:24,640 --> 00:38:28,400 Speaker 2: some Native American reservations that might be willing to provide wolves. 754 00:38:28,400 --> 00:38:31,040 Speaker 2: They tried that at one point it didn't work out, 755 00:38:31,200 --> 00:38:36,000 Speaker 2: so it'll be interesting to see if this reintroduction program continues. 756 00:38:36,280 --> 00:38:39,520 Speaker 2: It's under the there are people who are very unhappy 757 00:38:39,560 --> 00:38:45,440 Speaker 2: with the money aspect of this in Colorado. The projection 758 00:38:46,160 --> 00:38:48,960 Speaker 2: was eight hundred thousand per year cost of the state 759 00:38:49,800 --> 00:38:55,480 Speaker 2: that the voters agreed to. Last year, the program went wildly. 760 00:38:55,800 --> 00:38:58,920 Speaker 2: It's consistently went over budget. Last year went wildly over 761 00:38:59,000 --> 00:39:03,360 Speaker 2: budget three point five million. And that doesn't include a 762 00:39:03,400 --> 00:39:07,120 Speaker 2: budget of several hundred thousand dollars to reimburse ranchers for 763 00:39:07,239 --> 00:39:11,280 Speaker 2: lost livestock which they drained. They could completely drain that 764 00:39:11,280 --> 00:39:16,520 Speaker 2: that fun to reimburse ranchers, and some lawmakers in Colorado 765 00:39:16,600 --> 00:39:20,640 Speaker 2: are calling the situation out of control. Governor Polus has 766 00:39:20,640 --> 00:39:23,719 Speaker 2: been forced to cut the budget, and lawmakers are forbidding 767 00:39:24,080 --> 00:39:29,719 Speaker 2: Colorado Parks and Wildlife from using remaining general fun dollars 768 00:39:30,520 --> 00:39:33,719 Speaker 2: to acquire more wolves. So, like they might be at 769 00:39:33,719 --> 00:39:37,120 Speaker 2: a point where they're kind of tread and water for 770 00:39:37,160 --> 00:39:37,479 Speaker 2: a while. 771 00:39:37,600 --> 00:39:40,719 Speaker 1: You think Idaho would give them some wolves since they're 772 00:39:40,880 --> 00:39:43,280 Speaker 1: so overrun with right they don't even have any elkan 773 00:39:43,320 --> 00:39:43,960 Speaker 1: deer left. 774 00:39:43,960 --> 00:39:46,680 Speaker 4: But no, Yeah, it's funny, I was thinking politically, Yeah, 775 00:39:46,719 --> 00:39:52,959 Speaker 4: it's folks don't want to see wolves spread, like folks 776 00:39:53,000 --> 00:39:54,680 Speaker 4: in Montana, IHO don't want to be part of like 777 00:39:54,719 --> 00:39:57,560 Speaker 4: sending wolves to Colorado. But on the other hand, getting 778 00:39:57,600 --> 00:39:59,040 Speaker 4: wolves out of Montana and Idaho. 779 00:39:59,520 --> 00:40:01,719 Speaker 2: Yeah, but it'd only be ten or fifteen of them, 780 00:40:01,760 --> 00:40:04,320 Speaker 2: so you know, they can make. 781 00:40:04,160 --> 00:40:05,120 Speaker 3: That up pretty quick. 782 00:40:05,200 --> 00:40:08,560 Speaker 2: But yeah, there's your Colorado update. There's still wolves there. 783 00:40:08,680 --> 00:40:11,719 Speaker 2: We'll see, uh, we'll see how it works out with 784 00:40:11,800 --> 00:40:14,680 Speaker 2: them getting towards that goal of two hundred wolves. But 785 00:40:14,800 --> 00:40:16,400 Speaker 2: right now it's not not happening. 786 00:40:16,640 --> 00:40:18,479 Speaker 1: Oh it's going to be a major smudge. I feel 787 00:40:18,560 --> 00:40:23,200 Speaker 1: like on Polis's tenure. Yeah, you know the way he 788 00:40:23,280 --> 00:40:25,000 Speaker 1: handled the whole situation where like. 789 00:40:24,920 --> 00:40:27,920 Speaker 2: He kind of inserted himself into an issue, didn't. 790 00:40:27,840 --> 00:40:31,720 Speaker 1: Yeah, they had wolves coming, Yeah, it was happening all 791 00:40:31,760 --> 00:40:35,600 Speaker 1: on its own, and he had like they he whatever, 792 00:40:36,200 --> 00:40:38,319 Speaker 1: had to make a big deal out of it, and 793 00:40:38,600 --> 00:40:41,400 Speaker 1: it is just yeah. 794 00:40:40,719 --> 00:40:43,480 Speaker 2: Yeah, and his Wildlife Commission played a big role, like 795 00:40:43,560 --> 00:40:46,120 Speaker 2: a point. Appointees played a big role in it too, 796 00:40:46,200 --> 00:40:48,920 Speaker 2: which like makes me think that some part of me 797 00:40:49,000 --> 00:40:53,000 Speaker 2: thinks that those those Wildlife Commission people should be voted in, 798 00:40:53,120 --> 00:40:53,960 Speaker 2: not appointed in. 799 00:40:54,560 --> 00:40:54,759 Speaker 3: Yeah. 800 00:40:54,760 --> 00:41:00,439 Speaker 2: I agree, Okay, Phil, what's the chat doing now? 801 00:41:00,800 --> 00:41:01,040 Speaker 3: Sure? 802 00:41:01,160 --> 00:41:04,760 Speaker 6: Really quick? I saw several of you had some questions 803 00:41:04,760 --> 00:41:08,799 Speaker 6: for Jim during his segment. I emailed him and told 804 00:41:08,880 --> 00:41:11,440 Speaker 6: him to go back and check those out if he 805 00:41:11,520 --> 00:41:14,279 Speaker 6: feels obliged, and he absolutely does not need to, but 806 00:41:15,520 --> 00:41:17,760 Speaker 6: I bet I did let him know that those questions 807 00:41:17,800 --> 00:41:19,560 Speaker 6: are there, so maybe you'll get a little thanks for 808 00:41:19,560 --> 00:41:24,120 Speaker 6: that film DM from the conservation ringer himself. Let's see here. 809 00:41:25,680 --> 00:41:28,320 Speaker 6: First off, fishing fanatics. Nothing like sitting the stand listening 810 00:41:28,320 --> 00:41:31,280 Speaker 6: to me need to radio live. Thank you. And then Nate, 811 00:41:31,520 --> 00:41:33,640 Speaker 6: he's in the chat almost every week, got his first 812 00:41:33,640 --> 00:41:37,600 Speaker 6: ever buck on Sunday, six and a half inches twelve 813 00:41:37,680 --> 00:41:41,279 Speaker 6: pointer and his first thought was, Thursday can't come soon enough? 814 00:41:41,280 --> 00:41:44,000 Speaker 6: So I can tell the the live chat and the crew. 815 00:41:44,920 --> 00:41:48,239 Speaker 5: It's a pig ye all downhill from here. 816 00:41:49,400 --> 00:41:50,920 Speaker 1: Yeah, it's gonna be. That's a high Bard. 817 00:41:52,520 --> 00:41:56,080 Speaker 6: No free ads, but free hot tips. Justin says, I 818 00:41:56,120 --> 00:41:58,920 Speaker 6: just upgraded my on X subscription and have been doing 819 00:41:58,960 --> 00:42:00,920 Speaker 6: a bit of playing around. What are your favorite features 820 00:42:01,080 --> 00:42:04,040 Speaker 6: that are lesser known If you guys use any lesser 821 00:42:04,080 --> 00:42:07,239 Speaker 6: known on X features. 822 00:42:08,120 --> 00:42:12,279 Speaker 2: I like like like to plan stocks, like figuring out 823 00:42:12,360 --> 00:42:13,959 Speaker 2: yardage and things like that. 824 00:42:15,520 --> 00:42:16,120 Speaker 3: I forget that. 825 00:42:16,680 --> 00:42:22,680 Speaker 4: Like the you can range Yeah, and other other manufacturers 826 00:42:22,680 --> 00:42:24,680 Speaker 4: do that as well, but you can link your range 827 00:42:24,680 --> 00:42:25,319 Speaker 4: finer to that. 828 00:42:25,320 --> 00:42:27,319 Speaker 2: That's a sweet like if you find a bedded bock 829 00:42:27,400 --> 00:42:28,960 Speaker 2: that you know you're going to be out of sight 830 00:42:29,040 --> 00:42:31,640 Speaker 2: of for a while, like marking that spot and planning 831 00:42:31,719 --> 00:42:32,160 Speaker 2: your stock. 832 00:42:32,200 --> 00:42:33,720 Speaker 3: It's that's a good feature. 833 00:42:36,239 --> 00:42:39,880 Speaker 1: I've been using the UH Now it's integrated with the 834 00:42:39,960 --> 00:42:44,319 Speaker 1: Moultarie cameras and so it's like an automatic filter just 835 00:42:44,360 --> 00:42:46,359 Speaker 1: to go if you want to see just pictures from 836 00:42:46,360 --> 00:42:48,759 Speaker 1: one camera where the Moultarie app that takes a few 837 00:42:48,760 --> 00:42:50,640 Speaker 1: more steps, but on on X you can literally just 838 00:42:50,640 --> 00:42:52,799 Speaker 1: click on the icon and see only the pictures from 839 00:42:52,800 --> 00:42:54,040 Speaker 1: that camera, which is pretty slick. 840 00:42:54,520 --> 00:42:56,759 Speaker 3: That's real nice. That's real nice. 841 00:42:56,800 --> 00:43:01,120 Speaker 4: I the one thing that I've been I wanted them 842 00:43:01,160 --> 00:43:03,960 Speaker 4: to improve for a while, and then I think in 843 00:43:04,000 --> 00:43:07,319 Speaker 4: the past two years they they added it. But the 844 00:43:07,400 --> 00:43:11,480 Speaker 4: snap to feature when you're like putting a route, when 845 00:43:11,480 --> 00:43:13,960 Speaker 4: you're building a route, and you can actually snap it 846 00:43:14,000 --> 00:43:18,960 Speaker 4: on trails right and roads, so I know exactly, you 847 00:43:18,960 --> 00:43:20,759 Speaker 4: know how far it is before I want to bust 848 00:43:20,800 --> 00:43:24,200 Speaker 4: off the trail and climb a ridge or something like that, 849 00:43:24,760 --> 00:43:26,840 Speaker 4: because before you're always using. 850 00:43:26,760 --> 00:43:29,160 Speaker 5: Just the linear like line. 851 00:43:28,920 --> 00:43:31,840 Speaker 1: Which is like which is always shorter than what it is. 852 00:43:31,960 --> 00:43:35,840 Speaker 4: Yeah, exactly, and so I yeah, I build basically whenever 853 00:43:35,880 --> 00:43:37,680 Speaker 4: i'm thinking about what I want to do the next day. 854 00:43:37,719 --> 00:43:39,440 Speaker 4: As far as like a hike, I'll build it out 855 00:43:39,480 --> 00:43:42,160 Speaker 4: an onyx and get an idea of mileage and elevation 856 00:43:42,320 --> 00:43:43,080 Speaker 4: change and all that. 857 00:43:43,360 --> 00:43:46,520 Speaker 2: The three D thing is good for that too, because 858 00:43:46,560 --> 00:43:48,960 Speaker 2: like you can look at the topo, but it doesn't 859 00:43:49,000 --> 00:43:52,440 Speaker 2: tell you how steep. Yeah, you're only getting so much information. 860 00:43:52,600 --> 00:43:54,799 Speaker 2: So to be able to look at that slope and 861 00:43:54,800 --> 00:43:56,319 Speaker 2: be like, oh, hey, that's going to take some more 862 00:43:56,360 --> 00:43:57,080 Speaker 2: time than I thought. 863 00:43:57,280 --> 00:43:58,040 Speaker 3: Like that's cool. 864 00:43:58,160 --> 00:44:03,560 Speaker 6: M Let's see. It's a question from a cord. He says, 865 00:44:03,600 --> 00:44:06,680 Speaker 6: how often do your western schools go on lockdown for 866 00:44:06,880 --> 00:44:10,440 Speaker 6: dangerous animals in the area. He said that he had 867 00:44:10,480 --> 00:44:14,080 Speaker 6: a mountain lion stroll through a neighborhood and they went 868 00:44:14,120 --> 00:44:16,319 Speaker 6: into a two hour shelter in place. He says, does 869 00:44:16,320 --> 00:44:19,680 Speaker 6: that seem like an overreaction? Have your kids school has 870 00:44:19,719 --> 00:44:21,840 Speaker 6: ever gone into some sort of like lockdown because of 871 00:44:21,880 --> 00:44:23,600 Speaker 6: a bear or anything like that. 872 00:44:23,760 --> 00:44:26,000 Speaker 1: No, I think they had a bear actually walk through 873 00:44:26,080 --> 00:44:27,759 Speaker 1: Bozman High ago. 874 00:44:28,360 --> 00:44:31,520 Speaker 2: Wasn't there a grizzly that showed up over by the 875 00:44:31,520 --> 00:44:34,000 Speaker 2: elementary school in Bear Canyon a few years ago? 876 00:44:34,360 --> 00:44:35,640 Speaker 1: Yeah? Nothing changed. 877 00:44:36,000 --> 00:44:37,080 Speaker 6: I don't think there was A. 878 00:44:38,200 --> 00:44:40,280 Speaker 4: There was like a pair of mountain lions in Missoula 879 00:44:40,400 --> 00:44:43,839 Speaker 4: that was hanging out at a bus stop and they 880 00:44:44,360 --> 00:44:47,880 Speaker 4: closed the bus stop. And I remember that because it 881 00:44:47,920 --> 00:44:52,560 Speaker 4: was right by my buddy's house. But yeah, other than that. 882 00:44:52,640 --> 00:44:55,319 Speaker 2: I don't think it's like, yeah, sure, like we've got 883 00:44:55,360 --> 00:44:58,319 Speaker 2: more large predators out west, but I don't think it's 884 00:44:58,360 --> 00:44:59,320 Speaker 2: like it happens. 885 00:44:59,400 --> 00:45:01,319 Speaker 1: It's not like we Bengal tigers out here. 886 00:45:01,440 --> 00:45:04,359 Speaker 2: Like there's probably schools that have been shut down back 887 00:45:04,400 --> 00:45:06,719 Speaker 2: east because a coyote ran through the playground, you know 888 00:45:06,719 --> 00:45:07,120 Speaker 2: what I mean. 889 00:45:07,239 --> 00:45:10,040 Speaker 4: Yeah, I remember when I was living in Chicago watching 890 00:45:10,080 --> 00:45:12,680 Speaker 4: like a live news feed of a of a lion 891 00:45:12,760 --> 00:45:15,880 Speaker 4: running through a neighborhood and there was like a helicopter following, 892 00:45:15,880 --> 00:45:18,799 Speaker 4: you know, it's like the OJ chase, and it ran 893 00:45:18,920 --> 00:45:22,440 Speaker 4: through I believe they they might have even killed it, 894 00:45:22,520 --> 00:45:25,680 Speaker 4: like on a school playground, but it definitely ran through 895 00:45:25,680 --> 00:45:27,160 Speaker 4: a skilled a school playground. 896 00:45:27,239 --> 00:45:30,040 Speaker 5: But uh, that was one of my favorite moments from 897 00:45:30,040 --> 00:45:30,640 Speaker 5: my time there. 898 00:45:31,239 --> 00:45:34,359 Speaker 2: But also in Northern Minnesota, mountain Lion's probably something they're 899 00:45:34,400 --> 00:45:37,239 Speaker 2: just not real familiar with, and they might have just 900 00:45:37,360 --> 00:45:40,680 Speaker 2: you know, been been overreacting a little bit maybe, But 901 00:45:40,800 --> 00:45:42,880 Speaker 2: they're probably don't see him too often. 902 00:45:44,239 --> 00:45:47,120 Speaker 6: We've got Leland who's been really hot on the trivia questions. 903 00:45:47,160 --> 00:45:48,839 Speaker 6: Like Lea's been getting a lot of questions in there. 904 00:45:48,880 --> 00:45:51,360 Speaker 6: He asked, the strangest animal you guys have euro mounted. 905 00:45:51,440 --> 00:45:55,880 Speaker 6: He's having some squirrels done, if you if you have 906 00:45:55,960 --> 00:45:56,960 Speaker 6: had anything strange. 907 00:45:57,840 --> 00:46:01,040 Speaker 1: I did a turkey skull once, very proud of that. 908 00:46:01,520 --> 00:46:04,359 Speaker 1: The little stuff is fun, you know, turkey skulls. And 909 00:46:04,400 --> 00:46:09,040 Speaker 1: I have a bobcat skull. What else he's got, like 910 00:46:09,200 --> 00:46:11,640 Speaker 1: the whole collection of weasels we got. 911 00:46:11,400 --> 00:46:14,759 Speaker 2: Yeah, we have a rack. We have a rack, one raccoon. 912 00:46:15,120 --> 00:46:17,960 Speaker 2: We have a beaver skull. Beaver skull is real cool. 913 00:46:18,040 --> 00:46:22,200 Speaker 2: They got some oh yeah, burly solid skulls man stuff 914 00:46:22,239 --> 00:46:22,560 Speaker 2: like that. 915 00:46:22,800 --> 00:46:23,520 Speaker 5: Yeah, I wanted to. 916 00:46:23,840 --> 00:46:26,120 Speaker 4: I realized too late that I should have kept the 917 00:46:26,360 --> 00:46:28,160 Speaker 4: skull from my sand Hill crane this year. 918 00:46:28,560 --> 00:46:29,400 Speaker 2: That would be cool. 919 00:46:29,760 --> 00:46:32,640 Speaker 4: Yeah, yeah, And I realized that while I was taking 920 00:46:32,680 --> 00:46:34,960 Speaker 4: the legs off and I had little drumsticks that were, 921 00:46:35,719 --> 00:46:36,960 Speaker 4: you know, fourteen inches long. 922 00:46:38,360 --> 00:46:40,759 Speaker 6: Really quick, Mogor says Phil, did you and Randall knock 923 00:46:40,920 --> 00:46:43,960 Speaker 6: back a beer and hot dog? After that last disinformation blunder? 924 00:46:43,960 --> 00:46:45,880 Speaker 6: You're going to have to be more specific, moc. 925 00:46:46,200 --> 00:46:48,480 Speaker 4: No, that was that was when you told me the 926 00:46:48,480 --> 00:46:50,880 Speaker 4: wrong thing about our radio live from last week. Do 927 00:46:50,880 --> 00:46:53,040 Speaker 4: you remember when you gave me the wrong information about 928 00:46:53,040 --> 00:46:54,360 Speaker 4: whether or not Oh? 929 00:46:54,600 --> 00:46:55,040 Speaker 2: Oh yeah. 930 00:46:55,120 --> 00:46:57,160 Speaker 6: Then we had a fake argument and I asked if 931 00:46:57,200 --> 00:46:59,799 Speaker 6: you want to get a beer? You said no, But 932 00:47:00,520 --> 00:47:01,480 Speaker 6: you want to get a beer after this? 933 00:47:01,760 --> 00:47:03,000 Speaker 5: Yeah, we will do that after this. 934 00:47:03,600 --> 00:47:04,320 Speaker 2: But I don't. 935 00:47:05,840 --> 00:47:07,960 Speaker 5: Just know the argument was not fake on my end. 936 00:47:10,560 --> 00:47:15,400 Speaker 6: Well, then good to know, I guess. All right, Phil, 937 00:47:15,520 --> 00:47:18,239 Speaker 6: we've got a few more, but you want to. 938 00:47:18,239 --> 00:47:20,360 Speaker 2: Let these guys know because it's gonna have to be 939 00:47:20,360 --> 00:47:22,880 Speaker 2: a kind of a quick turnaround on Phil's part, which 940 00:47:22,920 --> 00:47:26,279 Speaker 2: makes like life difficult. But we're doing a hot tip 941 00:47:26,320 --> 00:47:29,719 Speaker 2: off and we're doing Phil, We're gonna do the the 942 00:47:29,800 --> 00:47:31,440 Speaker 2: listener voting thing, right. 943 00:47:31,680 --> 00:47:33,200 Speaker 6: I've got I'm prepped and ready to go. 944 00:47:33,719 --> 00:47:37,440 Speaker 2: So be prepared as you're listening to like vote on 945 00:47:37,520 --> 00:47:40,080 Speaker 2: the hot tips that are coming up a little later. 946 00:47:41,080 --> 00:47:43,120 Speaker 2: But we can we can do some more. We can 947 00:47:43,160 --> 00:47:44,759 Speaker 2: move on, Phil, We'll do another round at the end 948 00:47:44,760 --> 00:47:45,120 Speaker 2: of the show. 949 00:47:45,120 --> 00:47:46,800 Speaker 5: Okay, great call Phil. 950 00:47:48,480 --> 00:47:48,960 Speaker 3: All right. 951 00:47:49,160 --> 00:47:52,960 Speaker 2: Our next guest is Anna Borgman. She co owns Chaos Farms, 952 00:47:52,960 --> 00:47:57,440 Speaker 2: a butchering and meat processing business that serves the community 953 00:47:57,640 --> 00:48:01,279 Speaker 2: and small farms here in southwest Montana. She's been on 954 00:48:01,320 --> 00:48:05,000 Speaker 2: the podcast uh at least a couple of times. 955 00:48:05,000 --> 00:48:06,879 Speaker 6: She's been on radio, and she's been on the main 956 00:48:07,239 --> 00:48:07,560 Speaker 6: met Eat. 957 00:48:07,840 --> 00:48:10,000 Speaker 1: So she judged an episode of Roast There you Go, 958 00:48:10,120 --> 00:48:11,160 Speaker 1: So you guys may have. 959 00:48:11,200 --> 00:48:14,720 Speaker 6: Trivial She came out to karaoke once. 960 00:48:14,760 --> 00:48:21,000 Speaker 2: There you Go. She's like basically a meat eater employee anyway. 961 00:48:21,840 --> 00:48:25,520 Speaker 2: She she's also butchered and processed a bunch of animals 962 00:48:25,520 --> 00:48:28,920 Speaker 2: for the crew when we're too busy to do it 963 00:48:28,960 --> 00:48:31,840 Speaker 2: on our own. She did. She did ten fifty pound 964 00:48:32,040 --> 00:48:34,480 Speaker 2: game bags of moose meat for me last year, and 965 00:48:35,080 --> 00:48:38,560 Speaker 2: I can say she did a very outstanding job. So Anna, 966 00:48:38,680 --> 00:48:42,520 Speaker 2: welcome to the show. Oh you did? You went in there? 967 00:48:42,560 --> 00:48:46,359 Speaker 1: Great, she's the meat. 968 00:48:47,360 --> 00:48:51,120 Speaker 2: Yeah, you can hear you. General rifle season just ended 969 00:48:51,239 --> 00:48:54,359 Speaker 2: a few days ago here in Montana. But I imagine and 970 00:48:54,400 --> 00:48:57,040 Speaker 2: by the looks of it, I'm right, you're still pretty busy. 971 00:48:59,280 --> 00:49:03,000 Speaker 9: Yeah, it kind of seems like people hit it hard 972 00:49:03,040 --> 00:49:05,760 Speaker 9: the last weekend. So Gold we got a lot of calls, 973 00:49:06,200 --> 00:49:08,600 Speaker 9: Yeah exactly. Yeah, So we got a lot of calls 974 00:49:08,640 --> 00:49:11,120 Speaker 9: and we were running around like crazy picking up We 975 00:49:11,160 --> 00:49:12,879 Speaker 9: picked stuff up for people and we drop it off 976 00:49:13,920 --> 00:49:16,160 Speaker 9: back at you know, the office or your house or whatever. 977 00:49:16,239 --> 00:49:18,480 Speaker 9: So we were running around like crazy. We've got quite 978 00:49:18,480 --> 00:49:20,880 Speaker 9: a few elkin here right now, a little bit packed. 979 00:49:20,920 --> 00:49:23,719 Speaker 2: So nice. How many deer note do you think you 980 00:49:23,760 --> 00:49:24,800 Speaker 2: do in a season? 981 00:49:26,600 --> 00:49:30,480 Speaker 9: Oh jeez, it's just the two of us. It's just 982 00:49:30,480 --> 00:49:33,279 Speaker 9: my boys riend and I and we kind of take 983 00:49:33,320 --> 00:49:36,319 Speaker 9: on our own animals, you know, like I'll say yes 984 00:49:36,320 --> 00:49:38,120 Speaker 9: to whatever I have time for it, he says, yes, 985 00:49:38,520 --> 00:49:39,960 Speaker 9: he has time for Yeah. 986 00:49:40,040 --> 00:49:42,560 Speaker 2: This isn't a situation where people can just roll up 987 00:49:42,600 --> 00:49:44,600 Speaker 2: and drop something off to you, like a lot of 988 00:49:44,640 --> 00:49:46,320 Speaker 2: meat process. 989 00:49:45,760 --> 00:49:49,680 Speaker 9: Process right, Like this cooler is uh, I bought a 990 00:49:49,880 --> 00:49:53,440 Speaker 9: utility trailer and we just put in you know, foam 991 00:49:53,440 --> 00:49:57,360 Speaker 9: insulation and built out a cooler. So it's it's pretty small. 992 00:49:57,400 --> 00:49:59,719 Speaker 9: We pack it, but uh we do. I don't know 993 00:49:59,719 --> 00:50:03,160 Speaker 9: if you more than a hundred for but I uh, 994 00:50:03,560 --> 00:50:05,879 Speaker 9: I should keep track. But it's a lot of animals, but. 995 00:50:05,840 --> 00:50:08,920 Speaker 5: More in a season than most people will do in 996 00:50:09,000 --> 00:50:10,200 Speaker 5: their in their lifetime. 997 00:50:10,320 --> 00:50:14,080 Speaker 2: Sure, definitely, absolutely, But that that kind of gets to 998 00:50:14,080 --> 00:50:17,160 Speaker 2: where I'm going going with this, is you're not one 999 00:50:17,160 --> 00:50:21,600 Speaker 2: of those like mega meat processors processors that are doing 1000 00:50:21,840 --> 00:50:26,360 Speaker 2: hundreds and hundreds of animals a year, which like allows 1001 00:50:26,400 --> 00:50:29,880 Speaker 2: you to like operate with a much higher level level 1002 00:50:29,880 --> 00:50:33,120 Speaker 2: of care and quality. I would say then then I'm 1003 00:50:33,120 --> 00:50:38,640 Speaker 2: not bagging on meat processors and processors in general, but like, 1004 00:50:38,760 --> 00:50:43,399 Speaker 2: the more they do, it's possible that the quality level 1005 00:50:43,440 --> 00:50:46,080 Speaker 2: is going to go down if they're cranking out hundreds 1006 00:50:46,120 --> 00:50:50,440 Speaker 2: and hundreds of animals. So sure, as someone who's working 1007 00:50:50,480 --> 00:50:53,880 Speaker 2: with the goal of like doing this in small batches 1008 00:50:53,960 --> 00:50:58,919 Speaker 2: and putting out a really high quality product, I want 1009 00:50:58,920 --> 00:51:03,080 Speaker 2: to get into first what you'd lay out as like 1010 00:51:03,880 --> 00:51:08,879 Speaker 2: best practices for hunters before they even make the call 1011 00:51:08,960 --> 00:51:12,120 Speaker 2: to you, and then the most common mistakes people make 1012 00:51:12,239 --> 00:51:14,680 Speaker 2: out in the field before they even call you. 1013 00:51:17,320 --> 00:51:20,080 Speaker 9: Yeah, i'd say best practices. I'm kind of the hill 1014 00:51:20,120 --> 00:51:23,520 Speaker 9: that I will die on right now is take those 1015 00:51:23,920 --> 00:51:26,399 Speaker 9: hoofs off. We get a lot of stuff that has 1016 00:51:26,440 --> 00:51:28,560 Speaker 9: hoofs on it, and I totally you know, I get 1017 00:51:28,600 --> 00:51:30,759 Speaker 9: it to an extent that you're trying to get it 1018 00:51:30,800 --> 00:51:33,279 Speaker 9: out of there, and it's easier to stick it in 1019 00:51:33,280 --> 00:51:35,399 Speaker 9: a game bag with that hoof on. But if you're 1020 00:51:35,440 --> 00:51:38,560 Speaker 9: packing stuff out a it's extra weight. And b if 1021 00:51:38,600 --> 00:51:40,680 Speaker 9: you've just done a good job, you know, skinning it 1022 00:51:40,719 --> 00:51:43,560 Speaker 9: and keeping it clean, you're kind of screwing it up 1023 00:51:43,640 --> 00:51:46,799 Speaker 9: at the end there by adding more hide into the bag, 1024 00:51:47,080 --> 00:51:49,520 Speaker 9: more hair, whatever it was on that animal's hoof, whatever 1025 00:51:49,520 --> 00:51:51,560 Speaker 9: it was. And then by the time we get it, 1026 00:51:52,840 --> 00:51:55,320 Speaker 9: you know, it's just it's a little more work for us, 1027 00:51:55,440 --> 00:51:57,920 Speaker 9: and we can't I mean, you can see these waters 1028 00:51:57,960 --> 00:51:59,560 Speaker 9: hanging back here, like we can't hang it with a 1029 00:51:59,560 --> 00:52:01,439 Speaker 9: hoof on it so close to the ceiling up there. 1030 00:52:01,480 --> 00:52:04,000 Speaker 9: So and it's really easy to take off. I just 1031 00:52:04,000 --> 00:52:06,160 Speaker 9: put up a video on my Instagram, I think yesterday 1032 00:52:06,239 --> 00:52:07,040 Speaker 9: of how to take off. 1033 00:52:07,160 --> 00:52:10,200 Speaker 2: You're talking like basically the shin like the whole lower 1034 00:52:10,280 --> 00:52:11,240 Speaker 2: leg craw yeah. 1035 00:52:11,200 --> 00:52:13,799 Speaker 9: Yeah, yeah yeah. Like you just run your hand up 1036 00:52:14,040 --> 00:52:16,600 Speaker 9: and that first joint that you feel there's a little 1037 00:52:16,600 --> 00:52:18,800 Speaker 9: bit little ridge in there. You just get your knife 1038 00:52:18,800 --> 00:52:20,839 Speaker 9: in there and it should I mean, you can kind 1039 00:52:20,840 --> 00:52:21,880 Speaker 9: of hit it from underneath and. 1040 00:52:21,880 --> 00:52:24,200 Speaker 2: It'll just crack off yep, yep, and it. 1041 00:52:24,160 --> 00:52:25,200 Speaker 9: Won't cut the Achilles tent. 1042 00:52:25,320 --> 00:52:28,200 Speaker 2: Anything else that's that's helpful or people should be doing 1043 00:52:28,320 --> 00:52:31,319 Speaker 2: to like make sure they're gonna have some like high 1044 00:52:31,440 --> 00:52:33,600 Speaker 2: quality meat once it's in the freezer. 1045 00:52:34,760 --> 00:52:38,400 Speaker 9: Keeping stuff as clean as possible obviously that helps out 1046 00:52:38,520 --> 00:52:42,160 Speaker 9: our whole, you know, us processing. But it also it's 1047 00:52:42,239 --> 00:52:44,279 Speaker 9: gonna you're gonna get more meatback because we don't have 1048 00:52:44,320 --> 00:52:46,879 Speaker 9: to trim as much off. Yeah, and then I'd say, 1049 00:52:46,920 --> 00:52:49,879 Speaker 9: I know Yanny and I have talked about this weasoning, right, 1050 00:52:50,360 --> 00:52:52,879 Speaker 9: but just at least getting that wind pipe out of there, 1051 00:52:52,880 --> 00:52:56,000 Speaker 9: because that thing carries so much bacteria and it'll hold 1052 00:52:56,040 --> 00:52:57,759 Speaker 9: onto heat too. And so if you can pull that 1053 00:52:57,840 --> 00:53:01,120 Speaker 9: out of there, you're gonna get meat. You're gonna things 1054 00:53:01,160 --> 00:53:02,240 Speaker 9: are just gonna stay cleaner. 1055 00:53:02,560 --> 00:53:04,960 Speaker 1: So do you have any we do. 1056 00:53:05,000 --> 00:53:10,839 Speaker 2: Get you got any opinions on gutting versus gutless method? 1057 00:53:13,200 --> 00:53:15,960 Speaker 9: No, not really. I mean, if you can get as 1058 00:53:16,040 --> 00:53:18,600 Speaker 9: much meat as possible off with the gutless method, that's fine. 1059 00:53:18,719 --> 00:53:22,080 Speaker 9: I I I tend to pick up a lot of roadkill. 1060 00:53:22,480 --> 00:53:25,279 Speaker 9: We live on a highway. Yeah, you know, I go, 1061 00:53:25,480 --> 00:53:27,200 Speaker 9: I am on it all the time, so I see 1062 00:53:27,200 --> 00:53:28,640 Speaker 9: when stuff gets hit and I'll pick it up. So 1063 00:53:28,640 --> 00:53:31,399 Speaker 9: I end up doing a lot of gutless method because 1064 00:53:31,440 --> 00:53:34,200 Speaker 9: those things are usually a little exploded, and I don't 1065 00:53:34,200 --> 00:53:36,719 Speaker 9: see a problem with it. You know if you can, 1066 00:53:36,880 --> 00:53:38,520 Speaker 9: If you can gut it, that's great and get the 1067 00:53:38,520 --> 00:53:40,440 Speaker 9: whole thing out. Obviously you're gonna get a little bit 1068 00:53:40,480 --> 00:53:43,120 Speaker 9: more meat off that. But no, I have no problem 1069 00:53:43,160 --> 00:53:44,200 Speaker 9: with the gutless method at all. 1070 00:53:44,480 --> 00:53:52,239 Speaker 2: Gotcha? Okay, what are like the most common mistakes people 1071 00:53:52,280 --> 00:53:53,680 Speaker 2: are making out there? 1072 00:53:55,680 --> 00:53:59,640 Speaker 9: I think, you know, not not planning the head to 1073 00:53:59,680 --> 00:54:02,399 Speaker 9: keep clean and I don't if you want to throw 1074 00:54:03,120 --> 00:54:06,160 Speaker 9: even a trash bag in your in your pack and 1075 00:54:06,200 --> 00:54:08,160 Speaker 9: just lay it down, it's going to weigh nothing, and 1076 00:54:08,200 --> 00:54:10,279 Speaker 9: you're gonna have a place to put that meat on. 1077 00:54:10,320 --> 00:54:12,759 Speaker 9: When you're pulling off quarters or whatever. You can put 1078 00:54:12,760 --> 00:54:14,440 Speaker 9: it on the hide, but the hides off and dirty. 1079 00:54:14,480 --> 00:54:16,480 Speaker 9: You know, I run into that problem too. It's it's 1080 00:54:16,520 --> 00:54:19,920 Speaker 9: hard to keep things super clean as far as bringing 1081 00:54:19,920 --> 00:54:23,080 Speaker 9: stuff to us. When you're putting stuff into game bags, 1082 00:54:23,400 --> 00:54:26,759 Speaker 9: don't try to keep things in as big, like the 1083 00:54:26,760 --> 00:54:29,560 Speaker 9: biggest chunks possible, right Because when I open a game 1084 00:54:29,560 --> 00:54:31,520 Speaker 9: bag and there's a bunch of little pieces that fall out, 1085 00:54:31,760 --> 00:54:33,600 Speaker 9: there's not a lot I can do. I can't trim that, 1086 00:54:33,640 --> 00:54:36,560 Speaker 9: and if it's already a little bit dirty, it's going 1087 00:54:36,640 --> 00:54:37,239 Speaker 9: to go in the trash. 1088 00:54:37,320 --> 00:54:42,200 Speaker 2: Unfortunately, if you're if you're on like a big backcountry 1089 00:54:42,239 --> 00:54:47,640 Speaker 2: hunt miles in, it's tempting to debone those quarters. But 1090 00:54:48,880 --> 00:54:51,239 Speaker 2: if you're taking it to someone like Anna, it's like 1091 00:54:51,400 --> 00:54:55,200 Speaker 2: not the best thing for her to work on. So 1092 00:54:55,320 --> 00:54:56,000 Speaker 2: something if you. 1093 00:54:55,920 --> 00:54:58,960 Speaker 9: Can debone it and keep it. You know, big chunks 1094 00:54:59,600 --> 00:55:01,399 Speaker 9: all good, but it's a little you know, I'll dump 1095 00:55:01,400 --> 00:55:01,960 Speaker 9: out and it'll be like. 1096 00:55:01,960 --> 00:55:04,640 Speaker 2: A little quarter size mystery chunks, not a lot. 1097 00:55:04,840 --> 00:55:05,960 Speaker 9: Yeah, exact, Yeah, exactly. 1098 00:55:06,600 --> 00:55:10,680 Speaker 1: And how fast can you do an elk, not wrapped 1099 00:55:10,760 --> 00:55:15,799 Speaker 1: but just just skinned, broken down into into you know, 1100 00:55:15,960 --> 00:55:18,720 Speaker 1: rose steaks and maybe a pile of grind. 1101 00:55:21,239 --> 00:55:26,759 Speaker 9: That's a good question. I mean i'd say two hours, maybe. 1102 00:55:26,560 --> 00:55:28,719 Speaker 1: Two hours probably, Yeah. 1103 00:55:28,520 --> 00:55:31,319 Speaker 9: I don't usually. I mean I'm either like skinning it 1104 00:55:31,600 --> 00:55:35,759 Speaker 9: and hanging it or it's already quarter and then I'm 1105 00:55:35,760 --> 00:55:38,680 Speaker 9: going to go cut it. But you know, like I 1106 00:55:38,800 --> 00:55:40,719 Speaker 9: used to, I got into this from working at a 1107 00:55:40,719 --> 00:55:42,319 Speaker 9: shop and I worked on the kill floor and I 1108 00:55:42,360 --> 00:55:47,640 Speaker 9: would skin and got thirty sheep in a day, sometimes 1109 00:55:47,680 --> 00:55:50,719 Speaker 9: twenty before lunch. So I can skin and got pretty fast. Yeah, 1110 00:55:51,000 --> 00:55:53,080 Speaker 9: it's just cutting. It'll take a little bit longer. 1111 00:55:53,120 --> 00:55:57,880 Speaker 2: But yeah, are there anything You probably have a pretty 1112 00:55:57,880 --> 00:56:00,799 Speaker 2: good clientele that knows what they're doing. But are there 1113 00:56:00,880 --> 00:56:03,319 Speaker 2: some things that might cause you to like just to 1114 00:56:03,400 --> 00:56:07,239 Speaker 2: refuse working on an animal or like a set of 1115 00:56:07,320 --> 00:56:08,320 Speaker 2: quarters or whatever. 1116 00:56:10,960 --> 00:56:14,600 Speaker 9: Yeah, I've learned my lesson as far as like checking 1117 00:56:14,760 --> 00:56:17,120 Speaker 9: in game bags before I take stuff, especially if it's 1118 00:56:17,120 --> 00:56:20,799 Speaker 9: from people I don't know. Last year, I got the 1119 00:56:20,840 --> 00:56:23,040 Speaker 9: dirtiest stuff I've ever seen, Like you would have thought 1120 00:56:23,080 --> 00:56:25,120 Speaker 9: they tied it to the back of their truck and 1121 00:56:25,360 --> 00:56:27,000 Speaker 9: just drug it for the dirt to bring it out. 1122 00:56:27,040 --> 00:56:30,120 Speaker 9: But and I didn't realize that until after the fact, 1123 00:56:30,160 --> 00:56:32,279 Speaker 9: So I did charge them. I'll charge a dirty feet, 1124 00:56:32,400 --> 00:56:35,040 Speaker 9: you know, if there's not if I don't see it beforehand. 1125 00:56:35,800 --> 00:56:37,919 Speaker 9: And then like during archery season, we'll have people call 1126 00:56:38,480 --> 00:56:40,439 Speaker 9: and they didn't really have a plan and there's been 1127 00:56:40,600 --> 00:56:43,720 Speaker 9: you know, an antelope that's been in the hot garage 1128 00:56:43,760 --> 00:56:46,480 Speaker 9: for two days, and it's like, I'm not going to 1129 00:56:46,520 --> 00:56:49,000 Speaker 9: take that on because the meat's going to be spoiled. Yeah, 1130 00:56:49,040 --> 00:56:52,239 Speaker 9: it's not worth putting, you know, our business at risk 1131 00:56:53,239 --> 00:56:55,360 Speaker 9: to give you something that might make you sick or 1132 00:56:55,520 --> 00:56:57,839 Speaker 9: isn't going to taste very good. Yeah, So I think 1133 00:56:57,880 --> 00:57:00,640 Speaker 9: having a plan beforehand, whether it's know that you're gonna 1134 00:57:00,640 --> 00:57:02,000 Speaker 9: get out and you're gonna call a few people see 1135 00:57:02,000 --> 00:57:03,800 Speaker 9: if they have openings, and you know, if they don't, 1136 00:57:04,280 --> 00:57:06,440 Speaker 9: you you're if you have a last minute plan that 1137 00:57:06,440 --> 00:57:09,120 Speaker 9: you can at least do it. But don't let it 1138 00:57:09,160 --> 00:57:10,799 Speaker 9: hang to the point that it rots. That drives me. 1139 00:57:13,040 --> 00:57:15,480 Speaker 2: If you were giving advice to someone who's just getting 1140 00:57:15,480 --> 00:57:18,480 Speaker 2: in up processing their own animal, like, what would you 1141 00:57:18,520 --> 00:57:20,760 Speaker 2: tell them like as far as what they need to 1142 00:57:20,800 --> 00:57:26,240 Speaker 2: know or what equipment they absolutely should get themselves. 1143 00:57:29,000 --> 00:57:31,520 Speaker 9: Just don't overthink it. You know, you really can't mess 1144 00:57:31,560 --> 00:57:33,800 Speaker 9: it up. You might not get the cut that you 1145 00:57:33,840 --> 00:57:36,520 Speaker 9: want because you accidentally cut through it or whatever, but 1146 00:57:36,560 --> 00:57:39,080 Speaker 9: everything can be at least turned into burger or sausage, 1147 00:57:39,680 --> 00:57:43,280 Speaker 9: So don't stress too hard about it. Watch some YouTube videos. 1148 00:57:43,320 --> 00:57:46,440 Speaker 9: There's some really good videos out there that will show 1149 00:57:47,440 --> 00:57:52,080 Speaker 9: breakdown and seam. Butchering is is pretty easy. I mean 1150 00:57:52,080 --> 00:57:55,240 Speaker 9: you can you can see, you know, like inside round 1151 00:57:55,640 --> 00:58:01,560 Speaker 9: sirloin tip you can see it on there and yeah, 1152 00:58:01,560 --> 00:58:03,360 Speaker 9: but you don't have to go crazy with it. Don't 1153 00:58:03,360 --> 00:58:07,480 Speaker 9: stress yourself out. Everything's edible as long as it's clean. 1154 00:58:08,480 --> 00:58:13,160 Speaker 9: As far as tools to have, honestly, a sharp knife 1155 00:58:14,120 --> 00:58:17,120 Speaker 9: is about all you need when I'm doing game processing. 1156 00:58:17,200 --> 00:58:20,040 Speaker 9: That's all I use, and I don't. Jesse and I 1157 00:58:20,080 --> 00:58:23,720 Speaker 9: were just talking about this. He makes knives and he 1158 00:58:24,000 --> 00:58:27,080 Speaker 9: has the ability to, you know, sharpen stuff with his grinder. 1159 00:58:27,520 --> 00:58:28,200 Speaker 2: We don't. 1160 00:58:28,360 --> 00:58:30,680 Speaker 9: We really don't sharpen our knives. And for as much 1161 00:58:30,720 --> 00:58:32,640 Speaker 9: as we use them, you'd think that we'd be sharpening them, 1162 00:58:32,680 --> 00:58:36,480 Speaker 9: but we use I have it here. This is my savior. 1163 00:58:37,160 --> 00:58:41,320 Speaker 9: It's a honing steel. Yeah, and that's all I use. 1164 00:58:41,440 --> 00:58:44,480 Speaker 9: And like you know, in the summer, I butcherr chickens 1165 00:58:44,480 --> 00:58:47,160 Speaker 9: and I'll do over three hundred chickens a day and 1166 00:58:47,200 --> 00:58:50,400 Speaker 9: I that's all use and I won't even sharpen it 1167 00:58:50,400 --> 00:58:52,520 Speaker 9: at the end of the day. So I think for people, 1168 00:58:52,880 --> 00:58:56,800 Speaker 9: I think knives become sort of a a stressor. I 1169 00:58:56,800 --> 00:58:58,600 Speaker 9: don't know how to sharpen it. I don't know what 1170 00:58:58,720 --> 00:59:01,480 Speaker 9: you know what knife to get? You can get a 1171 00:59:01,480 --> 00:59:03,400 Speaker 9: big cornox, or you can spend money on a knife. 1172 00:59:03,720 --> 00:59:07,120 Speaker 9: But as long as you've got it, like I would say, 1173 00:59:07,400 --> 00:59:09,280 Speaker 9: honing steel is really all you need to learn how 1174 00:59:09,280 --> 00:59:09,760 Speaker 9: to use it. 1175 00:59:09,840 --> 00:59:13,760 Speaker 1: And but I think the key, it'll say, yea, the 1176 00:59:13,840 --> 00:59:18,840 Speaker 1: key and right, is that you're using that honing steel constantly. 1177 00:59:18,920 --> 00:59:22,040 Speaker 1: Through the day and you don't let that blade get 1178 00:59:22,080 --> 00:59:24,280 Speaker 1: to the point where you can't bring it back, or 1179 00:59:24,280 --> 00:59:26,480 Speaker 1: do you feel like you can actually sharpen a blade 1180 00:59:26,520 --> 00:59:29,760 Speaker 1: that's like completely dull. Can you bring it back just 1181 00:59:29,800 --> 00:59:31,440 Speaker 1: with that steel or at that point do you have 1182 00:59:31,520 --> 00:59:32,520 Speaker 1: to grind it a little bit? 1183 00:59:34,120 --> 00:59:35,640 Speaker 9: At that point, you need to grind it a little bit, 1184 00:59:35,640 --> 00:59:38,000 Speaker 9: because that's steel. What it's doing. There's burrs on the 1185 00:59:38,080 --> 00:59:40,600 Speaker 9: edge of that knife, and as you're cutting, they're going 1186 00:59:40,680 --> 00:59:43,840 Speaker 9: to fold over, and this honing steel is just lining 1187 00:59:43,880 --> 00:59:46,280 Speaker 9: the burrs up again. So it'll start to feel like 1188 00:59:46,320 --> 00:59:49,440 Speaker 9: it's dull. It's not. It's just those burrs are out 1189 00:59:49,480 --> 00:59:52,040 Speaker 9: of line, and so you hone it back into a 1190 00:59:52,120 --> 00:59:54,040 Speaker 9: line and it'll be sharp again. But if you've got 1191 00:59:54,040 --> 00:59:57,360 Speaker 9: something that is past the point of you know, the 1192 00:59:57,400 --> 00:59:59,680 Speaker 9: whole edge is rolled over or whatever, you're gonna have 1193 00:59:59,720 --> 01:00:02,880 Speaker 9: to use a stone or a grinder grinding belt. 1194 01:00:05,000 --> 01:00:08,400 Speaker 2: I got one more for you, and uh, I want 1195 01:00:08,400 --> 01:00:14,240 Speaker 2: to get your opinion. There's like people choose you know, 1196 01:00:14,400 --> 01:00:19,320 Speaker 2: lead bullets or copper bullets, solid bullets, like for various reasons, 1197 01:00:19,400 --> 01:00:23,200 Speaker 2: but from from from your perspective as someone who's cutting 1198 01:00:23,280 --> 01:00:27,040 Speaker 2: up meat all the time, what would you choose? Would 1199 01:00:27,080 --> 01:00:30,240 Speaker 2: you choose like a lead bullet or a solid copper 1200 01:00:30,280 --> 01:00:34,280 Speaker 2: bullet as far as like getting getting good meat. 1201 01:00:36,600 --> 01:00:38,920 Speaker 9: You know, I've I've thought about this a lot, and 1202 01:00:38,960 --> 01:00:43,760 Speaker 9: I feel like this, the copper versus lead, it's so complicated. Yeah, 1203 01:00:43,960 --> 01:00:46,120 Speaker 9: you know, it'd be an interesting experiment to sort of 1204 01:00:46,760 --> 01:00:50,200 Speaker 9: ask people as they drop stuff off what they used, right, 1205 01:00:50,440 --> 01:00:53,400 Speaker 9: I mean I will find stuff sometimes, like I last year, 1206 01:00:53,880 --> 01:00:56,200 Speaker 9: you know, I pulled a couple of copper bullets out 1207 01:00:56,200 --> 01:00:57,680 Speaker 9: of an elk shank. I don't really know what was 1208 01:00:57,720 --> 01:01:01,440 Speaker 9: going on there, but so I will find stuff. I'll find, 1209 01:01:01,760 --> 01:01:04,680 Speaker 9: you know, something in the ribs or in the if 1210 01:01:05,000 --> 01:01:07,280 Speaker 9: if something gets stuck in a shoulder blade or whatever. 1211 01:01:08,400 --> 01:01:09,880 Speaker 9: But it kind of runs the gamut. I mean, I 1212 01:01:09,920 --> 01:01:13,200 Speaker 9: find all kinds of stuff. And I really think, like 1213 01:01:13,360 --> 01:01:16,480 Speaker 9: my understanding and my my feeling on this is just 1214 01:01:17,280 --> 01:01:20,280 Speaker 9: it depends on the caliber you're using, It depends on 1215 01:01:20,320 --> 01:01:23,640 Speaker 9: how far you think you're going to be shooting, and 1216 01:01:23,760 --> 01:01:26,920 Speaker 9: sort of your confidence in even recovering an animal, right, 1217 01:01:26,920 --> 01:01:29,840 Speaker 9: because in my mind it's like the whole the lead 1218 01:01:29,880 --> 01:01:32,760 Speaker 9: thing is like, if you're not sure that that animal 1219 01:01:32,840 --> 01:01:36,240 Speaker 9: is going to go down, then that's really where you 1220 01:01:36,360 --> 01:01:38,919 Speaker 9: hate some issues. And like, you know, we do mobile 1221 01:01:38,960 --> 01:01:41,600 Speaker 9: slaughter when we're not doing game processing, we're doing bubble slaughter, 1222 01:01:42,000 --> 01:01:45,440 Speaker 9: and we use lead, but and we're using thirty eight 1223 01:01:45,480 --> 01:01:48,960 Speaker 9: special or I'm trying to think what else we have 1224 01:01:49,040 --> 01:01:50,520 Speaker 9: right now. I think we're just using thirty eight specially 1225 01:01:50,560 --> 01:01:54,560 Speaker 9: right now. But that's lead. But we also just can 1226 01:01:54,600 --> 01:01:56,400 Speaker 9: pull it out of the skull in the back of 1227 01:01:56,440 --> 01:02:00,800 Speaker 9: the neck. We know where that's going, so look at it. 1228 01:02:01,080 --> 01:02:03,400 Speaker 2: Can you look at a front quarter on an elk 1229 01:02:03,480 --> 01:02:06,800 Speaker 2: or a deer that's that was shot in the shoulder 1230 01:02:06,800 --> 01:02:09,920 Speaker 2: and be like, oh, I know what that was. Like 1231 01:02:09,960 --> 01:02:12,520 Speaker 2: do you see more damage from one or the other. 1232 01:02:12,440 --> 01:02:16,240 Speaker 9: Or I don't think I noticed so much as far 1233 01:02:16,320 --> 01:02:24,000 Speaker 9: as copper or lead. I notice caliber, oh really Like yeah, Like, well, 1234 01:02:24,160 --> 01:02:26,560 Speaker 9: you know there's a I picked up a deer from 1235 01:02:26,560 --> 01:02:29,040 Speaker 9: a kid the other day and he's like, oh, I 1236 01:02:29,080 --> 01:02:30,720 Speaker 9: shot all the way through it. I shot it with 1237 01:02:30,760 --> 01:02:33,560 Speaker 9: the two forty three and then another kid that had 1238 01:02:33,600 --> 01:02:37,480 Speaker 9: shot with three blew up both shoulders and I don't 1239 01:02:37,560 --> 01:02:39,320 Speaker 9: I don't know if they were copper lad. I didn't 1240 01:02:39,360 --> 01:02:42,080 Speaker 9: ask them. Yeah, it's like, man, you can tell, yeah, 1241 01:02:42,160 --> 01:02:45,840 Speaker 9: for sure, tell caliber, I'd say, but yeah, I don't know. 1242 01:02:45,920 --> 01:02:48,840 Speaker 9: I I you mentioning that makes me want to ask 1243 01:02:49,280 --> 01:02:51,440 Speaker 9: next season and sort of like take a survey. 1244 01:02:51,640 --> 01:02:53,800 Speaker 2: Yeah, yeah, you guys got anything for. 1245 01:02:55,520 --> 01:02:55,600 Speaker 9: You? 1246 01:02:55,640 --> 01:02:57,440 Speaker 2: Look like you're falling asleep over there. 1247 01:02:57,520 --> 01:02:57,920 Speaker 7: Geez. 1248 01:02:58,040 --> 01:02:59,800 Speaker 5: No, I was just thinking about how I didn't. 1249 01:03:00,080 --> 01:03:00,200 Speaker 9: Uh. 1250 01:03:00,320 --> 01:03:03,720 Speaker 4: I meant to defrost some steaks this morning from the 1251 01:03:03,720 --> 01:03:07,200 Speaker 4: elki dropped off yesterday, and I realized I failed to 1252 01:03:07,240 --> 01:03:09,920 Speaker 4: do that, So I'm gonna have to run home and 1253 01:03:10,200 --> 01:03:11,560 Speaker 4: get the souv'd fired up. 1254 01:03:11,600 --> 01:03:13,800 Speaker 5: Probably that's okay, that works. 1255 01:03:13,880 --> 01:03:16,959 Speaker 9: That was fun cutting your olk because we have a 1256 01:03:17,080 --> 01:03:20,720 Speaker 9: I've got this old band saw. That makes game processing 1257 01:03:20,760 --> 01:03:23,880 Speaker 9: pretty fun because I can do you know, like blade 1258 01:03:23,920 --> 01:03:28,280 Speaker 9: in shoulder Rose. I can do osbooka really easily cut 1259 01:03:28,320 --> 01:03:33,200 Speaker 9: short ribs if someone brings out ribs. Yeah, and did 1260 01:03:33,480 --> 01:03:34,720 Speaker 9: cutting for people like to cook? 1261 01:03:35,080 --> 01:03:35,280 Speaker 5: Yeah? 1262 01:03:35,320 --> 01:03:38,320 Speaker 4: Anna did sit in the bison that my wife shot 1263 01:03:38,400 --> 01:03:41,640 Speaker 4: last year, and and we got ribs, and we got 1264 01:03:41,960 --> 01:03:45,080 Speaker 4: tomahawk steaks, and we got abuco bones and then we 1265 01:03:45,200 --> 01:03:48,040 Speaker 4: got just like long cut marrow bones out of the 1266 01:03:48,040 --> 01:03:48,440 Speaker 4: whole thing. 1267 01:03:49,440 --> 01:03:54,840 Speaker 2: Speaking of that kind of stuff, Anna, ribs and osabuco 1268 01:03:54,880 --> 01:03:55,960 Speaker 2: and stuff. What what? 1269 01:03:56,200 --> 01:03:56,680 Speaker 7: Uh? 1270 01:03:57,200 --> 01:04:00,360 Speaker 2: What do you most often see like that they gets 1271 01:04:00,440 --> 01:04:03,920 Speaker 2: tossed or left on the carcass that hunters should be keeping. 1272 01:04:04,480 --> 01:04:07,640 Speaker 2: What like obviously they're you know, wanting waste laws where 1273 01:04:07,640 --> 01:04:10,160 Speaker 2: they have to keep certain stuff, But what do you 1274 01:04:10,160 --> 01:04:12,280 Speaker 2: see getting left behind? Well, and it could even be 1275 01:04:12,400 --> 01:04:13,720 Speaker 2: like organs. 1276 01:04:15,520 --> 01:04:19,520 Speaker 9: I'm a big fan of the tougher cuts, so like 1277 01:04:20,440 --> 01:04:23,720 Speaker 9: neck meat. I like doing the sort of low and 1278 01:04:23,760 --> 01:04:27,720 Speaker 9: slow cooking. Neck roasts are awesome. I also understand if 1279 01:04:27,720 --> 01:04:30,160 Speaker 9: people don't want to be cooking with the spinal cord 1280 01:04:30,160 --> 01:04:32,280 Speaker 9: in there and you're worried about seayby and stuff, But 1281 01:04:32,560 --> 01:04:35,840 Speaker 9: if you bone out that neck, that's really nice stew meat. 1282 01:04:36,680 --> 01:04:39,720 Speaker 9: I also on elk because I do this on beef 1283 01:04:39,720 --> 01:04:42,720 Speaker 9: all the time. You can pull the cheeks out, and 1284 01:04:43,120 --> 01:04:45,640 Speaker 9: cheek meat is one of my favorite. It is so good. 1285 01:04:45,680 --> 01:04:47,800 Speaker 9: And elk have at least big enough cheeks in people 1286 01:04:47,800 --> 01:04:50,160 Speaker 9: worth a deer might be a little like silver dollar size, 1287 01:04:50,200 --> 01:04:53,560 Speaker 9: but yeah, you just throw those in a Dutch oven 1288 01:04:53,600 --> 01:04:57,800 Speaker 9: and cook for sure. They're so good. Yeah, and you 1289 01:04:57,840 --> 01:05:01,440 Speaker 9: know tongues, people pull out tongues a lot. Hearts I 1290 01:05:01,600 --> 01:05:05,600 Speaker 9: like seeing that, and then livers if they're good. I'm 1291 01:05:05,600 --> 01:05:07,320 Speaker 9: a big liver fan. I know plenty of people aren't, 1292 01:05:07,320 --> 01:05:10,560 Speaker 9: which is fair, but yeah, I don't know. I think 1293 01:05:10,600 --> 01:05:12,080 Speaker 9: the more you play with it, the more you hunt, 1294 01:05:12,120 --> 01:05:15,640 Speaker 9: the more you've got, you know, options of what to cook. 1295 01:05:15,640 --> 01:05:17,439 Speaker 9: And it's really fun to get creative with it because 1296 01:05:17,440 --> 01:05:19,720 Speaker 9: it does you can get a little boring after a while, 1297 01:05:19,760 --> 01:05:21,400 Speaker 9: you know, just cooking back strapped and burger. 1298 01:05:22,800 --> 01:05:25,160 Speaker 2: All right, you guys, got anything else or we want 1299 01:05:25,200 --> 01:05:26,360 Speaker 2: to move on. We're good. 1300 01:05:26,440 --> 01:05:27,840 Speaker 1: Thanks Anna, Thank you, Anna. 1301 01:05:27,880 --> 01:05:29,040 Speaker 2: All right, get to work. 1302 01:05:29,600 --> 01:05:32,280 Speaker 9: Yeah, thanks for having me. I will. 1303 01:05:33,760 --> 01:05:34,360 Speaker 2: Thanks again. 1304 01:05:35,680 --> 01:05:37,280 Speaker 1: Thanks guys. 1305 01:05:38,680 --> 01:05:42,880 Speaker 2: All right, Hot tip Off time? Oh geez, are you ready? 1306 01:05:43,520 --> 01:05:44,840 Speaker 5: No, we need to play the jingle. 1307 01:05:46,840 --> 01:05:49,760 Speaker 6: I I'm tired of this jingle. 1308 01:05:49,800 --> 01:05:51,560 Speaker 2: Guys, Okay, feel's tired of it. 1309 01:05:51,480 --> 01:05:56,520 Speaker 6: But we're gonna play it anyway, that's all. 1310 01:06:00,280 --> 01:06:12,320 Speaker 2: I'm kind of tired of it too, philm. 1311 01:06:07,160 --> 01:06:08,000 Speaker 5: No, it's so good. 1312 01:06:08,240 --> 01:06:10,200 Speaker 6: There's just some there's some segments we do a lot 1313 01:06:10,240 --> 01:06:12,120 Speaker 6: because they're good segments like hot tip Off, and we 1314 01:06:12,120 --> 01:06:14,360 Speaker 6: hear that jingle all the time, and it doesn't help 1315 01:06:14,360 --> 01:06:17,400 Speaker 6: that it's one of the more poppy, i'd say, annoying 1316 01:06:17,960 --> 01:06:21,720 Speaker 6: creating jingles. I think you're right, we got to bring 1317 01:06:21,800 --> 01:06:24,560 Speaker 6: back we got to bring back tattoos. I regret Brody 1318 01:06:24,640 --> 01:06:25,520 Speaker 6: is thoroughly annoyed. 1319 01:06:25,680 --> 01:06:26,240 Speaker 5: Right now. 1320 01:06:26,280 --> 01:06:29,240 Speaker 2: I love all of Phil's songs except for that one. 1321 01:06:29,560 --> 01:06:30,160 Speaker 2: I hate it. 1322 01:06:31,120 --> 01:06:32,560 Speaker 6: I got to kill the segment then, sorry. 1323 01:06:32,560 --> 01:06:32,920 Speaker 5: Guys. 1324 01:06:33,200 --> 01:06:35,960 Speaker 2: Hot Tip Off where two listeners go head to head 1325 01:06:36,080 --> 01:06:40,320 Speaker 2: with competing pieces of advice, and after we hear each tip, 1326 01:06:42,000 --> 01:06:45,160 Speaker 2: we'll chat about who we think should win, but the 1327 01:06:45,200 --> 01:06:48,680 Speaker 2: audience is going to decide who does win. If you 1328 01:06:48,760 --> 01:06:52,520 Speaker 2: got a hot tip yourself, take one minute ish video 1329 01:06:53,240 --> 01:06:56,680 Speaker 2: and email it to radio at themediater dot com and 1330 01:06:56,960 --> 01:06:59,240 Speaker 2: and you might get you might get your hot tip 1331 01:06:59,480 --> 01:07:01,680 Speaker 2: into the show show and win something. We do have 1332 01:07:01,720 --> 01:07:02,440 Speaker 2: a price today. 1333 01:07:02,440 --> 01:07:04,680 Speaker 1: Oh yeah, I was gonna ask, is there something that 1334 01:07:04,680 --> 01:07:06,800 Speaker 1: they're winning? Just fun. 1335 01:07:08,320 --> 01:07:10,040 Speaker 5: Goodness, gracious backpack? 1336 01:07:10,520 --> 01:07:12,560 Speaker 2: What's this thing called again? Be honest? 1337 01:07:13,080 --> 01:07:15,240 Speaker 1: Oh I know you're gonna ask me that it's the 1338 01:07:15,440 --> 01:07:17,160 Speaker 1: uh transfer light. 1339 01:07:17,280 --> 01:07:20,640 Speaker 2: Yeah, we got like it's like Santa's toy bag man. 1340 01:07:20,720 --> 01:07:24,760 Speaker 2: We got stuff in there. We gotta signed copy of 1341 01:07:24,800 --> 01:07:27,640 Speaker 2: the Meat Eater calendar there, which you guys should go 1342 01:07:27,720 --> 01:07:29,960 Speaker 2: buy if you don't have one, because we kicked back 1343 01:07:30,000 --> 01:07:31,920 Speaker 2: some money to b h A. It's a great like 1344 01:07:32,080 --> 01:07:33,120 Speaker 2: stocking stuffer. 1345 01:07:33,360 --> 01:07:35,760 Speaker 1: Buy some for your friends family. 1346 01:07:35,960 --> 01:07:38,000 Speaker 2: Yeah, exactly, it's not expensive. 1347 01:07:38,040 --> 01:07:38,160 Speaker 9: Man. 1348 01:07:38,160 --> 01:07:42,360 Speaker 4: Anybody who loves trucks or the F word, they'll get 1349 01:07:42,400 --> 01:07:43,640 Speaker 4: a kick out of it, exactly. 1350 01:07:44,800 --> 01:07:48,040 Speaker 2: And also in there was a rattle bag. This is 1351 01:07:48,080 --> 01:07:51,200 Speaker 2: a that's the felt smash and clash. 1352 01:07:51,320 --> 01:07:51,800 Speaker 6: I like that. 1353 01:07:53,520 --> 01:07:56,320 Speaker 2: So there you go. Got some stuff for white tail hunters. 1354 01:07:56,360 --> 01:07:58,040 Speaker 5: And that's a hell of a hell of a hall. 1355 01:07:58,520 --> 01:08:00,520 Speaker 2: I think you could use this bag for other stuff. 1356 01:08:00,640 --> 01:08:04,680 Speaker 2: I mean, I like you could throw I'd use it 1357 01:08:04,720 --> 01:08:06,840 Speaker 2: for bird hunting. I'd put it in my boat and 1358 01:08:06,960 --> 01:08:09,520 Speaker 2: shove some stuff in there. It's not just for white tails. 1359 01:08:09,920 --> 01:08:14,200 Speaker 2: So there we go. There's our prize. Let's see here. 1360 01:08:14,240 --> 01:08:16,040 Speaker 1: Who do we got. Let's see the hot tips. 1361 01:08:17,840 --> 01:08:21,800 Speaker 2: Yeah, Caden Bonner and Dak Cash. So make sure you're 1362 01:08:21,800 --> 01:08:24,720 Speaker 2: throwing your boat in. Uh, and we'll figure out who 1363 01:08:24,760 --> 01:08:27,080 Speaker 2: the winner is. Philly, Philly, ready to roll them. 1364 01:08:27,120 --> 01:08:31,760 Speaker 5: Let's do it, Caden Bonter, this is good. 1365 01:08:33,360 --> 01:08:33,840 Speaker 3: I'm already. 1366 01:08:34,120 --> 01:08:37,800 Speaker 8: My name is Caden, and I am from Nebraska. This 1367 01:08:38,160 --> 01:08:41,720 Speaker 8: last weekend we were out for Nebraska rifle season and 1368 01:08:41,880 --> 01:08:43,920 Speaker 8: heard a bunch of coyokes and so we were trying 1369 01:08:43,920 --> 01:08:45,760 Speaker 8: to figure out how to call them in and make 1370 01:08:45,800 --> 01:08:49,160 Speaker 8: a predator call. So pulled out a little debbie out 1371 01:08:49,160 --> 01:08:53,400 Speaker 8: of my backpack, which most hunters should have, and came 1372 01:08:53,479 --> 01:08:56,280 Speaker 8: up with how to make comparator call. 1373 01:08:59,920 --> 01:09:02,360 Speaker 5: Like that and then just pulled tight. 1374 01:09:13,920 --> 01:09:18,639 Speaker 3: Improvisers, Yeah, like. 1375 01:09:18,680 --> 01:09:20,120 Speaker 2: That definitely would work. 1376 01:09:20,479 --> 01:09:22,160 Speaker 8: And that is how you make a predator call out 1377 01:09:22,160 --> 01:09:23,320 Speaker 8: of a little bebby wrapper. 1378 01:09:24,040 --> 01:09:35,120 Speaker 2: There we go, dack cash. 1379 01:09:31,000 --> 01:09:33,360 Speaker 10: Hey me, your crew had a hot tip for you, 1380 01:09:34,960 --> 01:09:39,639 Speaker 10: mostly for small game hunters, especially squirrels. If you don't 1381 01:09:39,720 --> 01:09:42,800 Speaker 10: like packing your squirrels out in a game bag or 1382 01:09:42,880 --> 01:09:47,800 Speaker 10: a vest like you gotta do, cut your little a 1383 01:09:47,800 --> 01:09:53,120 Speaker 10: little green limb by like this, sharpen one end. Got 1384 01:09:53,160 --> 01:09:58,559 Speaker 10: a squirrel by the back leg Rip those two side 1385 01:09:58,600 --> 01:10:07,120 Speaker 10: toes off, sometimes harder than others. You can use your 1386 01:10:07,200 --> 01:10:11,120 Speaker 10: knife if you want to. Once you rip those toes, 1387 01:10:12,640 --> 01:10:17,600 Speaker 10: stick the stick in between pennons and the bones. You 1388 01:10:17,680 --> 01:10:18,679 Speaker 10: got a squirrel carrier. 1389 01:10:19,439 --> 01:10:21,800 Speaker 5: It's like a fish. 1390 01:10:22,200 --> 01:10:23,840 Speaker 10: And if you don't, if you get tired to carry it, 1391 01:10:24,840 --> 01:10:27,400 Speaker 10: you can stick it in You're built looke. 1392 01:10:30,800 --> 01:10:32,080 Speaker 5: That's the whole system. I love it. 1393 01:10:33,200 --> 01:10:37,920 Speaker 2: Nice early man tool there, So that part I like 1394 01:10:38,000 --> 01:10:39,559 Speaker 2: a lot hands free. 1395 01:10:39,880 --> 01:10:41,439 Speaker 10: You want to make a squirrel come out and look 1396 01:10:41,479 --> 01:10:45,280 Speaker 10: at you, you can click the tail. Thank you God 1397 01:10:46,400 --> 01:10:47,160 Speaker 10: that cash. 1398 01:10:46,960 --> 01:10:49,839 Speaker 1: Mark and so play nickmes are here, Randall? 1399 01:10:50,600 --> 01:10:51,120 Speaker 2: Who you like? 1400 01:10:51,200 --> 01:10:51,320 Speaker 9: Oh? 1401 01:10:51,360 --> 01:10:51,680 Speaker 6: I like? 1402 01:10:51,840 --> 01:10:52,280 Speaker 5: I mean. 1403 01:10:53,960 --> 01:10:57,759 Speaker 4: Caden won me over at first because of his commitment 1404 01:10:57,840 --> 01:11:02,160 Speaker 4: to Little Debbie snack products. I think that was an 1405 01:11:02,160 --> 01:11:05,400 Speaker 4: oatmeal cream pie, one of the one of the finest 1406 01:11:04,720 --> 01:11:09,080 Speaker 4: I used to house those things. 1407 01:11:09,479 --> 01:11:15,559 Speaker 11: Yeah, we get, but man, I'm just Dak charmed me 1408 01:11:15,640 --> 01:11:20,720 Speaker 11: with his accent, with his innovative uh, squirrel handling techniques, 1409 01:11:21,000 --> 01:11:23,599 Speaker 11: and just the versatility of that whole tip. 1410 01:11:24,840 --> 01:11:29,040 Speaker 1: You're honest, I'll have to agree. I mean it's very 1411 01:11:29,160 --> 01:11:30,599 Speaker 1: uh what do you call it when you like come 1412 01:11:30,680 --> 01:11:31,759 Speaker 1: up with something on the spot. 1413 01:11:33,479 --> 01:11:34,120 Speaker 6: Improvising? 1414 01:11:34,240 --> 01:11:37,200 Speaker 1: Yeah, yeah, Cad cat how do you say his name? 1415 01:11:37,280 --> 01:11:37,840 Speaker 2: Caen? 1416 01:11:37,960 --> 01:11:38,320 Speaker 1: Caden? 1417 01:11:38,560 --> 01:11:38,720 Speaker 7: Uh? 1418 01:11:39,479 --> 01:11:42,800 Speaker 1: Improvised great? And you know it happened. I wish you 1419 01:11:42,800 --> 01:11:44,680 Speaker 1: would have told us if they actually called something in 1420 01:11:44,720 --> 01:11:45,000 Speaker 1: with it. 1421 01:11:45,120 --> 01:11:47,599 Speaker 2: Yeah, I mean both of these guys improvised great. 1422 01:11:47,680 --> 01:11:48,960 Speaker 1: Yeah, they're good tips. 1423 01:11:49,000 --> 01:11:51,080 Speaker 4: But you know, and the thing is is, if I 1424 01:11:51,160 --> 01:11:55,160 Speaker 4: were out deer hunting and I heard some coyotes, I 1425 01:11:55,160 --> 01:11:59,639 Speaker 4: would think, uh, damn, I don't have a predator call. 1426 01:11:59,840 --> 01:12:02,160 Speaker 5: I think what can I do to make a predator? 1427 01:12:02,200 --> 01:12:03,160 Speaker 2: Definitely it's close. 1428 01:12:03,479 --> 01:12:04,600 Speaker 5: I like that mindset. 1429 01:12:04,760 --> 01:12:07,000 Speaker 2: I like the idea of just building something on the 1430 01:12:07,000 --> 01:12:09,880 Speaker 2: spot too, Like you don't always got to go, you know, 1431 01:12:10,080 --> 01:12:12,639 Speaker 2: buy something, You can just make it right there. It's cool, 1432 01:12:13,479 --> 01:12:16,719 Speaker 2: you know. So I'm leaning towards DAK. But it doesn't 1433 01:12:16,760 --> 01:12:19,160 Speaker 2: matter what we think, It matters what the audience thinks. 1434 01:12:19,160 --> 01:12:24,360 Speaker 6: Phil, I'd say one of our listeners was in a 1435 01:12:24,520 --> 01:12:28,439 Speaker 6: runaway lead, and the poll is tightening quickly. Really, so 1436 01:12:28,600 --> 01:12:31,720 Speaker 6: your votes matter. Get in there. Yeah, we'll give it 1437 01:12:31,720 --> 01:12:32,920 Speaker 6: another thirty seconds or so. 1438 01:12:33,080 --> 01:12:35,799 Speaker 2: You got any other comments we can hit while we're 1439 01:12:35,960 --> 01:12:37,680 Speaker 2: You're Italian votes and oh. 1440 01:12:37,439 --> 01:12:41,080 Speaker 6: Sure, let's see here. Cliff is wondering, serious question. Are 1441 01:12:41,120 --> 01:12:42,679 Speaker 6: we going to see Randall Clause this year? 1442 01:12:44,840 --> 01:12:49,439 Speaker 5: Just wait tbd TBD, but gotta watch it. 1443 01:12:49,760 --> 01:12:53,240 Speaker 4: Just the thing is, you got to believe he doesn't 1444 01:12:53,240 --> 01:12:54,280 Speaker 4: come unless you believe. 1445 01:12:54,680 --> 01:12:56,120 Speaker 2: It's like the Polar Express. 1446 01:12:56,920 --> 01:12:59,160 Speaker 1: But I feel like you and Brent are kind of 1447 01:12:59,280 --> 01:13:02,679 Speaker 1: battling for Santa Claus rights around. 1448 01:13:02,720 --> 01:13:05,599 Speaker 2: Well, Brent's a Southerner, he can't win. 1449 01:13:05,680 --> 01:13:06,560 Speaker 5: Yeah, but he's got it. 1450 01:13:06,720 --> 01:13:08,320 Speaker 6: Well, that's both of you guys are going to be 1451 01:13:08,360 --> 01:13:11,519 Speaker 6: on that live tour. Yeah, you guys had like, you know, 1452 01:13:11,560 --> 01:13:15,840 Speaker 6: a rock paper scissors Rochambeau. Who's going to be taking. 1453 01:13:15,040 --> 01:13:16,840 Speaker 5: Brent's doing it. I tried to. 1454 01:13:17,160 --> 01:13:19,880 Speaker 4: I tried to insert myself, but I didn't want to 1455 01:13:19,920 --> 01:13:22,640 Speaker 4: be like I'd like to be Santa. I didn't want 1456 01:13:22,680 --> 01:13:24,800 Speaker 4: to put myself on that. I just said, you know, 1457 01:13:24,800 --> 01:13:27,439 Speaker 4: if you needs someone to wear the whole time, I'll 1458 01:13:27,479 --> 01:13:27,720 Speaker 4: do that. 1459 01:13:27,920 --> 01:13:30,600 Speaker 2: Maybe he could be Father Christmas and you'd be like 1460 01:13:30,680 --> 01:13:31,760 Speaker 2: his apprentice. 1461 01:13:32,000 --> 01:13:35,120 Speaker 4: Or we could be different regional variations on Santa, like 1462 01:13:35,200 --> 01:13:38,360 Speaker 4: I would be. I would be Chris Kringle or some 1463 01:13:38,400 --> 01:13:39,800 Speaker 4: sort of Germanic. 1464 01:13:39,840 --> 01:13:42,880 Speaker 1: Right, have a lot of He might get tired and 1465 01:13:42,960 --> 01:13:43,639 Speaker 1: need a break. 1466 01:13:43,840 --> 01:13:47,400 Speaker 5: Yeah, he is older, he might tire out. 1467 01:13:47,840 --> 01:13:51,400 Speaker 2: Yeah, stay tuned for Randall Claus. I want Phil well Man. 1468 01:13:51,920 --> 01:13:53,960 Speaker 6: It's hard for me to I'm gonna give them another 1469 01:13:54,000 --> 01:13:55,320 Speaker 6: thirty seconds because it's so close. 1470 01:13:55,400 --> 01:13:56,080 Speaker 2: Let's do one more. 1471 01:13:56,920 --> 01:13:59,080 Speaker 5: Yeah, we should see three hundred and thirty four votes 1472 01:13:59,120 --> 01:13:59,840 Speaker 5: in there, guys. 1473 01:14:00,000 --> 01:14:02,200 Speaker 6: Okay, If you guys could sacrifice Steve to the hunting 1474 01:14:02,200 --> 01:14:05,680 Speaker 6: gods and return for any tag species or location, what 1475 01:14:05,760 --> 01:14:07,720 Speaker 6: would it be? This is from Evan M. 1476 01:14:08,640 --> 01:14:13,560 Speaker 1: I'd probably go on some super expensive stone sheep huntains 1477 01:14:14,320 --> 01:14:15,000 Speaker 1: stone sheep. 1478 01:14:18,040 --> 01:14:21,840 Speaker 4: Yeah, I think if I mean, I'd love a mountain 1479 01:14:21,840 --> 01:14:25,519 Speaker 4: goat hunt. But given the given that we're sacrificing Steve 1480 01:14:25,560 --> 01:14:27,280 Speaker 4: for this, I feel like you sort of owe it 1481 01:14:27,320 --> 01:14:28,080 Speaker 4: to Steve. 1482 01:14:27,880 --> 01:14:29,639 Speaker 5: To go for the big, high dollar hunt. 1483 01:14:29,880 --> 01:14:32,640 Speaker 1: Yeah, maybe you go do a Kate Buffalo. 1484 01:14:32,160 --> 01:14:34,000 Speaker 5: Do a Marco polo hunt. 1485 01:14:34,560 --> 01:14:38,080 Speaker 2: Man, I'd take aim. I know it's Steve, but I'd 1486 01:14:38,080 --> 01:14:38,360 Speaker 2: take it. 1487 01:14:38,439 --> 01:14:40,360 Speaker 3: Just a big horn hunt right here, Montana. 1488 01:14:40,439 --> 01:14:42,720 Speaker 5: Oh yeah, that question would be pretty cool. 1489 01:14:42,800 --> 01:14:45,599 Speaker 6: This is wild. It is flipping back and forth every 1490 01:14:46,000 --> 01:14:47,080 Speaker 6: two or three seconds. 1491 01:14:47,160 --> 01:14:50,760 Speaker 2: I can't Clara Winner, then we're just gonna happen. 1492 01:14:51,040 --> 01:14:54,240 Speaker 6: I will, But over two hundred people who are watching 1493 01:14:54,240 --> 01:14:55,439 Speaker 6: this right now have not voted. 1494 01:14:55,600 --> 01:14:57,240 Speaker 5: Can Can we set a timer? 1495 01:14:58,120 --> 01:14:59,120 Speaker 6: Should I set a timer? 1496 01:14:59,240 --> 01:14:59,439 Speaker 5: Yeah? 1497 01:15:00,479 --> 01:15:02,320 Speaker 6: Sixty more seconds? We have to. We have to end 1498 01:15:02,320 --> 01:15:02,880 Speaker 6: it at some point. 1499 01:15:02,920 --> 01:15:05,599 Speaker 2: All right, one more comment. We'll come back into Clara Winner. 1500 01:15:05,840 --> 01:15:08,360 Speaker 1: Yeah, my teeth are about to float, all. 1501 01:15:08,320 --> 01:15:10,840 Speaker 6: Right, hold on honest as to pee in the timer? 1502 01:15:11,080 --> 01:15:12,679 Speaker 5: Oh I see does. 1503 01:15:12,760 --> 01:15:14,360 Speaker 2: Bring a key bottle into the studio. 1504 01:15:14,400 --> 01:15:16,760 Speaker 5: I thought that was like a comment about it malnourished. 1505 01:15:17,920 --> 01:15:21,600 Speaker 6: Do we have any muzzleloader people's muzzleoader experience at the 1506 01:15:21,640 --> 01:15:27,080 Speaker 6: table here? Maybe is asking what muzzleloader powder bullet combo 1507 01:15:27,160 --> 01:15:29,720 Speaker 6: have you found to be most accurate. 1508 01:15:29,840 --> 01:15:34,360 Speaker 2: If he's talking about inline muzzleloaders, which I have much 1509 01:15:34,360 --> 01:15:39,200 Speaker 2: more experienced with, Like you can't go wrong, like with 1510 01:15:39,360 --> 01:15:45,439 Speaker 2: a TC muzzleloader in line blackhorn. It's just like the 1511 01:15:45,520 --> 01:15:49,120 Speaker 2: regular black horn black powder. It might even be synthetic 1512 01:15:49,200 --> 01:15:56,720 Speaker 2: black powder, and I use uh, I think it's Federal's 1513 01:15:56,760 --> 01:15:59,920 Speaker 2: copper bullets. And I've done real well with that combination. 1514 01:16:00,080 --> 01:16:02,920 Speaker 4: And it probably depends a lot on the state that 1515 01:16:02,960 --> 01:16:04,120 Speaker 4: you're in and what they're right. 1516 01:16:04,160 --> 01:16:08,160 Speaker 2: They got different, different rules for sure, but like I 1517 01:16:08,200 --> 01:16:11,599 Speaker 2: don't A lot of the inline muscle loaders these days 1518 01:16:11,640 --> 01:16:15,160 Speaker 2: are set up for magnum loads of one hundred and 1519 01:16:15,240 --> 01:16:19,360 Speaker 2: fifty grains. I have found that I've gotten way better 1520 01:16:19,520 --> 01:16:23,400 Speaker 2: accuracy results by not going with you can choose what 1521 01:16:23,520 --> 01:16:25,800 Speaker 2: load you use. You don't have to use one hundred 1522 01:16:25,800 --> 01:16:28,719 Speaker 2: and fifty grains of powder, and I've always done way 1523 01:16:28,720 --> 01:16:33,439 Speaker 2: better with about one hundred grains accuracy wise. And I 1524 01:16:33,479 --> 01:16:36,519 Speaker 2: shot a Shyris kow moose with that set up and 1525 01:16:36,600 --> 01:16:37,360 Speaker 2: it went right. 1526 01:16:37,240 --> 01:16:40,400 Speaker 3: Through both of her shoulders, So there you go. 1527 01:16:40,560 --> 01:16:45,559 Speaker 6: Okay, I let it run And the person who started 1528 01:16:45,600 --> 01:16:48,360 Speaker 6: off in the lead also ended up winning our winner 1529 01:16:48,400 --> 01:16:50,720 Speaker 6: with fifty three percent of the vote at the end 1530 01:16:50,760 --> 01:16:51,720 Speaker 6: on nail. 1531 01:16:51,960 --> 01:16:55,880 Speaker 2: That's not even close in a presidential election, Phil No, 1532 01:16:56,160 --> 01:16:58,639 Speaker 2: but it was fifty to fifty going back and forth 1533 01:16:58,680 --> 01:16:59,040 Speaker 2: for a while. 1534 01:16:59,080 --> 01:17:01,880 Speaker 6: So so the guy's fan stepped up, and that person 1535 01:17:02,160 --> 01:17:04,400 Speaker 6: is Dak with the squirrel holder. 1536 01:17:04,560 --> 01:17:06,880 Speaker 5: Squirrelman, Dak. Congratulations, he doesn't need. 1537 01:17:06,760 --> 01:17:08,960 Speaker 2: That squirrel holder anymore. You can shove him all in 1538 01:17:08,960 --> 01:17:09,479 Speaker 2: his bag. 1539 01:17:09,600 --> 01:17:11,120 Speaker 6: That's congrats, Dak. 1540 01:17:11,200 --> 01:17:11,599 Speaker 2: There you go. 1541 01:17:11,680 --> 01:17:17,120 Speaker 4: Beautiful work everybody, and we'll have our producer Jake reach 1542 01:17:17,160 --> 01:17:17,639 Speaker 4: out to you. 1543 01:17:17,760 --> 01:17:18,000 Speaker 3: Yep. 1544 01:17:18,640 --> 01:17:20,960 Speaker 6: Who is He's actually in the room today from Missoula. 1545 01:17:21,120 --> 01:17:23,280 Speaker 6: He's in Bozeman. I don't do have his camera on. 1546 01:17:23,560 --> 01:17:24,559 Speaker 6: I do have his camera on. 1547 01:17:24,880 --> 01:17:25,639 Speaker 2: Say hi Jae. 1548 01:17:25,640 --> 01:17:26,000 Speaker 9: He is. 1549 01:17:29,160 --> 01:17:32,000 Speaker 2: All right, Thanks everyone for tuning in. Before we go, 1550 01:17:34,000 --> 01:17:37,040 Speaker 2: we've got some uh, we've got some great new gifty 1551 01:17:37,120 --> 01:17:39,960 Speaker 2: stuff in the store. We've got some new gnome uh 1552 01:17:40,520 --> 01:17:44,400 Speaker 2: Gnome logo where we've got some some of our spices 1553 01:17:44,560 --> 01:17:47,559 Speaker 2: up there now, spice mixes that Bayou Boil I can 1554 01:17:47,600 --> 01:17:49,639 Speaker 2: tell you is very good. I've used it a couple 1555 01:17:49,600 --> 01:17:52,520 Speaker 2: of times on some fish and it's great. 1556 01:17:53,000 --> 01:17:53,520 Speaker 3: Uh. 1557 01:17:53,880 --> 01:17:56,000 Speaker 2: Live tour guys, what do you got to say about that. 1558 01:17:57,080 --> 01:17:59,120 Speaker 5: Getting excited, getting real excited. 1559 01:18:00,120 --> 01:18:02,479 Speaker 2: Some of those venues are getting close to selling out, 1560 01:18:02,560 --> 01:18:04,240 Speaker 2: so people need to buy their tickets. 1561 01:18:04,520 --> 01:18:04,720 Speaker 5: Yeah. 1562 01:18:04,800 --> 01:18:07,120 Speaker 4: Last I saw that it's like eighty percent sold out, 1563 01:18:07,200 --> 01:18:11,280 Speaker 4: which is compared to prior years. Like one of the 1564 01:18:11,360 --> 01:18:13,160 Speaker 4: venues is already Fetville. 1565 01:18:13,280 --> 01:18:15,559 Speaker 6: Yeah, Clay Clay's crew came out in force. 1566 01:18:15,640 --> 01:18:19,839 Speaker 2: Clayre's family, Yeah, Clay's extended Mountain family. 1567 01:18:20,040 --> 01:18:22,840 Speaker 6: Yeah, they came down from the very supportive. 1568 01:18:25,080 --> 01:18:27,920 Speaker 1: Yeah. It's always fun to go do do these things. 1569 01:18:27,960 --> 01:18:30,040 Speaker 1: You know, it's a it's a marathon, but we'll have 1570 01:18:30,080 --> 01:18:30,719 Speaker 1: a good time. 1571 01:18:30,720 --> 01:18:32,040 Speaker 2: You guys. 1572 01:18:31,600 --> 01:18:35,200 Speaker 6: More most is from Moor. He was setting us up 1573 01:18:35,200 --> 01:18:37,600 Speaker 6: for this question for Randall and Jan Sorry Brody, but 1574 01:18:37,720 --> 01:18:39,800 Speaker 6: he's he's asking how nervous do you guys get before 1575 01:18:39,800 --> 01:18:40,600 Speaker 6: it Tour's. 1576 01:18:40,240 --> 01:18:42,200 Speaker 5: Good to hear from Moor, even if it's at the 1577 01:18:42,280 --> 01:18:42,639 Speaker 5: very end. 1578 01:18:42,640 --> 01:18:44,800 Speaker 2: I feel like Mogar is starting to have a little 1579 01:18:44,840 --> 01:18:46,479 Speaker 2: too much influence on this show. 1580 01:18:46,600 --> 01:18:48,880 Speaker 5: Nope, Nope, he's. 1581 01:18:48,760 --> 01:18:50,280 Speaker 6: Been nothing but supportive and kind. 1582 01:18:50,479 --> 01:18:54,000 Speaker 4: I'll say this, Mogor last year, I was very, very 1583 01:18:54,000 --> 01:18:57,320 Speaker 4: nervous before the first show, and then it was like 1584 01:18:57,360 --> 01:18:58,719 Speaker 4: a drug and I couldn't get. 1585 01:18:58,640 --> 01:19:01,799 Speaker 5: Enough of it. Just the life of a showman. 1586 01:19:01,960 --> 01:19:03,840 Speaker 2: Sure those weren't the beers you had before the show. 1587 01:19:03,920 --> 01:19:05,920 Speaker 4: Could have been a few of those. But just going 1588 01:19:05,960 --> 01:19:11,240 Speaker 4: out there have fun. Uh, And I'm a warrior. I 1589 01:19:11,280 --> 01:19:14,920 Speaker 4: get stressed out about things to get anxious. But god, 1590 01:19:14,960 --> 01:19:16,960 Speaker 4: it's like a drug just being on the stage with 1591 01:19:17,040 --> 01:19:19,760 Speaker 4: the hot spotlight on you, the microphone in your hand, 1592 01:19:19,800 --> 01:19:22,040 Speaker 4: and they're just eating from the ether. They're just eating 1593 01:19:22,040 --> 01:19:25,839 Speaker 4: from your palm. Oh, nothing better. Working on some great material. 1594 01:19:25,960 --> 01:19:27,559 Speaker 4: Need to workshop a at a couple of stand up 1595 01:19:27,640 --> 01:19:29,439 Speaker 4: nights this week, but we should be good to go. 1596 01:19:29,880 --> 01:19:32,880 Speaker 1: Nice. I need to work on my material too. I've 1597 01:19:32,880 --> 01:19:36,120 Speaker 1: got I feel like I've got a decent amount of stories. 1598 01:19:36,120 --> 01:19:39,960 Speaker 1: But yeah, I haven't actually recited it yet, but yeah, 1599 01:19:40,000 --> 01:19:42,479 Speaker 1: we've been doing it so long now, Mulgora that it's 1600 01:19:42,600 --> 01:19:44,920 Speaker 1: just you just realize that, I don't know, people in 1601 01:19:44,920 --> 01:19:47,479 Speaker 1: the audience are more they're more nervous than you are. 1602 01:19:47,640 --> 01:19:52,240 Speaker 2: Right, you're honest. What do we got going on with roasts? 1603 01:19:52,400 --> 01:19:52,519 Speaker 3: Oh? 1604 01:19:52,560 --> 01:19:56,639 Speaker 1: Yeah, a new episode dropped, maybe already on meter YouTube channel. 1605 01:19:56,680 --> 01:20:01,120 Speaker 1: It's Best Burger episode. Brody Anderson faces off with Nate 1606 01:20:01,200 --> 01:20:02,679 Speaker 1: Mason from f HF Gear. 1607 01:20:02,920 --> 01:20:04,000 Speaker 6: Oh, big guy and. 1608 01:20:04,640 --> 01:20:05,280 Speaker 1: Good, great guy. 1609 01:20:05,360 --> 01:20:08,680 Speaker 6: It was live as of an hour ago, so. 1610 01:20:09,240 --> 01:20:12,040 Speaker 1: Go watch it and tell us what you think in 1611 01:20:12,120 --> 01:20:15,160 Speaker 1: the comments, and if you have any ideas for media 1612 01:20:15,280 --> 01:20:18,040 Speaker 1: or roast, drop in the comments too. Love to love 1613 01:20:18,080 --> 01:20:20,519 Speaker 1: to hear ideas on how to make that show better. 1614 01:20:20,720 --> 01:20:21,519 Speaker 1: Thanks for watching. 1615 01:20:21,840 --> 01:20:24,400 Speaker 2: All right, signing off, We'll see you guys next week. Thanks. 1616 01:20:24,720 --> 01:20:28,639 Speaker 6: Let's Oh no wait, I forgot almost ended the stream 1617 01:20:29,720 --> 01:20:31,519 Speaker 5: So cool if the outro had played right As soon 1618 01:20:31,520 --> 01:20:33,000 Speaker 5: as I said that, I tried