1 00:00:08,920 --> 00:00:12,320 Speaker 1: This is the meat Eater Podcast coming at you. 2 00:00:12,160 --> 00:00:14,360 Speaker 2: Shirtless, severely, bug bitten. 3 00:00:14,160 --> 00:00:17,600 Speaker 1: And in my case, underwear listening todcast. 4 00:00:18,239 --> 00:00:19,320 Speaker 3: You can't predict anything. 5 00:00:20,079 --> 00:00:22,800 Speaker 1: The meat Eater Podcast is brought to you by First Light. 6 00:00:22,960 --> 00:00:26,040 Speaker 1: Whether you're checking trail cams, hanging deer stands, or scouting 7 00:00:26,120 --> 00:00:29,520 Speaker 1: for el First Light has performance apparel to support every 8 00:00:29,600 --> 00:00:32,400 Speaker 1: hunter in every environment. Check it out at first light 9 00:00:32,479 --> 00:00:35,640 Speaker 1: dot com. F I R S T L I t 10 00:00:35,800 --> 00:00:43,120 Speaker 1: E dot com. Hey, everybody, welcome to Our governor Tags. 11 00:00:43,320 --> 00:00:48,440 Speaker 1: Our Governor's tags on American reducts? Is that the right right? 12 00:00:48,479 --> 00:00:50,400 Speaker 1: You used to reducts? Remember they did apocalypse now and 13 00:00:50,440 --> 00:00:52,000 Speaker 1: they recut it and call it reducts. 14 00:00:52,280 --> 00:00:57,680 Speaker 3: I don't know to redo do over? 15 00:00:58,120 --> 00:01:02,480 Speaker 2: Well, where we are sells are are in the hot seat. 16 00:01:02,920 --> 00:01:08,400 Speaker 1: We did an episode Our Governor's Tags on American and 17 00:01:08,400 --> 00:01:13,479 Speaker 1: and you know the the the episode was phrased as 18 00:01:13,520 --> 00:01:15,520 Speaker 1: though it was a question. But I think there was 19 00:01:15,560 --> 00:01:18,840 Speaker 1: an overriding There was an overriding sentiment in the room 20 00:01:18,880 --> 00:01:21,679 Speaker 1: about you know, it's. 21 00:01:21,640 --> 00:01:23,080 Speaker 2: It's hyperbolic language. 22 00:01:23,400 --> 00:01:26,880 Speaker 1: Overriding sentiment in the room of I would say a 23 00:01:27,160 --> 00:01:31,800 Speaker 1: tipping a the Governor's tags. The sentiment in the room 24 00:01:31,840 --> 00:01:36,199 Speaker 1: is that governor's tags tipped on American We were called 25 00:01:36,240 --> 00:01:40,720 Speaker 1: out on this by Gray Thornton from the Wild Sheep Foundation, 26 00:01:40,800 --> 00:01:45,360 Speaker 1: which is the pre eminent wild cheap conservation organization in America, 27 00:01:45,520 --> 00:01:50,240 Speaker 1: and in all fairness, does more than any entity in 28 00:01:50,280 --> 00:01:54,120 Speaker 1: putting wild sheep back on the mountain, keeping wild sheep 29 00:01:54,200 --> 00:01:56,640 Speaker 1: on the mountain. So we had to hear him out, 30 00:01:57,400 --> 00:01:59,160 Speaker 1: and he's here today to tell us where we went wrong. 31 00:01:59,680 --> 00:02:02,840 Speaker 1: In his opinion, Gray, I want to keep the I 32 00:02:02,840 --> 00:02:06,240 Speaker 1: want to keep it. I want to keep all this fair. Yeah, 33 00:02:06,320 --> 00:02:09,400 Speaker 1: So I want to who gets to who gets to 34 00:02:09,440 --> 00:02:13,120 Speaker 1: say just to bring people up to speed? Who gets 35 00:02:13,160 --> 00:02:16,080 Speaker 1: to say who gets to describe what a governor's tag is. 36 00:02:19,560 --> 00:02:20,959 Speaker 3: I'm happy to give it a shot. 37 00:02:21,639 --> 00:02:23,799 Speaker 2: Give it a shot, and then if you do it 38 00:02:23,840 --> 00:02:25,480 Speaker 2: and I don't like it, I'll give you. 39 00:02:26,040 --> 00:02:28,480 Speaker 3: I'll give your thumbs down. You know, here's a good thing, 40 00:02:28,840 --> 00:02:33,520 Speaker 3: is Stephen? This is your show. Yeah, So I'm just 41 00:02:33,720 --> 00:02:36,160 Speaker 3: honored to be here. No, I don't. I don't know 42 00:02:36,160 --> 00:02:39,640 Speaker 3: if I called it out. We just wanted to point 43 00:02:39,639 --> 00:02:43,000 Speaker 3: out some things that we would have liked, at least 44 00:02:42,880 --> 00:02:44,120 Speaker 3: at least had stated. 45 00:02:44,400 --> 00:02:48,760 Speaker 1: So I get criticized about something or another every day, 46 00:02:49,160 --> 00:02:52,679 Speaker 1: okay and I both now most of them I kind 47 00:02:52,680 --> 00:02:55,799 Speaker 1: of like laugh them off. But your criticism of some 48 00:02:55,840 --> 00:02:59,160 Speaker 1: of the comments that were made on that episode struck 49 00:02:59,240 --> 00:03:01,840 Speaker 1: me so much that I emailed you within seconds of 50 00:03:01,880 --> 00:03:02,399 Speaker 1: reading them. 51 00:03:03,240 --> 00:03:05,360 Speaker 2: So like you know, when you. 52 00:03:05,280 --> 00:03:07,200 Speaker 1: Get you know, if you get called out in a 53 00:03:07,200 --> 00:03:10,880 Speaker 1: way where you're like, okay, all right, you know I 54 00:03:10,919 --> 00:03:12,800 Speaker 1: get a mean email every day from my friend Doug, 55 00:03:13,040 --> 00:03:16,520 Speaker 1: and you know you asked him, I'll usually reply by 56 00:03:16,520 --> 00:03:20,960 Speaker 1: I asked them, if you've seen any turkeys around? How's 57 00:03:20,960 --> 00:03:25,600 Speaker 1: the turkey's looking in other news? But no, no, I yeah, 58 00:03:26,480 --> 00:03:28,600 Speaker 1: tell everybody what a governor's tag is. So well, let's 59 00:03:28,600 --> 00:03:31,000 Speaker 1: talk about what it is before we talk about. 60 00:03:30,760 --> 00:03:31,560 Speaker 3: What it was. It mean. 61 00:03:33,840 --> 00:03:35,720 Speaker 2: Well, first of all, where did they come from? 62 00:03:36,480 --> 00:03:40,640 Speaker 3: And so the first governor's tag was actually given to 63 00:03:41,080 --> 00:03:43,720 Speaker 3: what was then the Foundation for North American Wild Sheep 64 00:03:43,800 --> 00:03:48,040 Speaker 3: now Wild Chief Foundation in nineteen eighty by Governor Ed 65 00:03:48,120 --> 00:03:52,680 Speaker 3: Herschler from Wyoming and a lot different than they are today. 66 00:03:52,800 --> 00:03:58,200 Speaker 3: But the idea from Ed's perspective was, hey, we have 67 00:03:58,280 --> 00:04:06,640 Speaker 3: these highly coveted tags opportunities. We've got this fairly new organization, 68 00:04:06,840 --> 00:04:09,440 Speaker 3: Foundation of North American Wild Chief was founded in nineteen 69 00:04:09,520 --> 00:04:12,680 Speaker 3: seventy seven. So three years later, what if we gave 70 00:04:12,760 --> 00:04:16,240 Speaker 3: one of these tags, they sold it at auction and 71 00:04:16,960 --> 00:04:20,200 Speaker 3: we just mandate that they dedicate all the funds to 72 00:04:20,880 --> 00:04:25,200 Speaker 3: Wild Chief Conservation in Wyoming. So that's how the whole 73 00:04:25,240 --> 00:04:29,960 Speaker 3: process started. And so back then, yeah, it's it was 74 00:04:30,000 --> 00:04:31,440 Speaker 3: a governor's tag and so. 75 00:04:31,440 --> 00:04:34,320 Speaker 1: Because the state wasn't able to the state didn't have 76 00:04:34,360 --> 00:04:36,120 Speaker 1: the mechanism to sell it themselves. 77 00:04:37,520 --> 00:04:39,520 Speaker 3: No, so they kind of look at a you know, 78 00:04:39,560 --> 00:04:42,360 Speaker 3: at an NGO as you know, we're the ones that 79 00:04:42,400 --> 00:04:45,159 Speaker 3: can put on the party, put on the show, and 80 00:04:45,200 --> 00:04:47,080 Speaker 3: there's there's a number of us out there that are 81 00:04:47,120 --> 00:04:52,240 Speaker 3: doing it. But it was kind of a changing point 82 00:04:52,440 --> 00:04:58,479 Speaker 3: for wild Chief conservation funding, bottom line finase or you know, 83 00:04:58,520 --> 00:05:02,559 Speaker 3: now wild Chief foundations in is in existence because sheep 84 00:05:02,640 --> 00:05:06,600 Speaker 3: weren't a priority. They didn't pay their way. Too few 85 00:05:07,200 --> 00:05:10,440 Speaker 3: and unlike elk, unlike meal deer, and like white tails, 86 00:05:10,560 --> 00:05:14,760 Speaker 3: unlike you know, even turkeys, not enough of them to 87 00:05:14,839 --> 00:05:18,760 Speaker 3: fund their conservation. So for many agencies, they really weren't 88 00:05:18,760 --> 00:05:19,239 Speaker 3: a priority. 89 00:05:19,680 --> 00:05:21,640 Speaker 1: You might explain them what that means by not enough 90 00:05:21,640 --> 00:05:23,040 Speaker 1: to fund the conservation. 91 00:05:23,240 --> 00:05:26,000 Speaker 2: You know, for example, let's let's look at Montana. 92 00:05:26,240 --> 00:05:29,920 Speaker 3: We'll look at twenty twenty three data, twenty twenty four 93 00:05:30,000 --> 00:05:34,920 Speaker 3: data six hundred and fifty eight, six hundred and fifty 94 00:05:35,000 --> 00:05:40,240 Speaker 3: six tags made available five hundred and fifty eight to 95 00:05:40,640 --> 00:05:44,279 Speaker 3: residents that brought in And this is this is twenty 96 00:05:44,320 --> 00:05:48,680 Speaker 3: twenty three data sixty nine, seven hundred and fifty bucks. 97 00:05:48,680 --> 00:05:50,279 Speaker 4: You're talking sheep, now, sheep. 98 00:05:51,040 --> 00:05:56,000 Speaker 3: Bighorn sheep tags. Ninety eight non resident tags brought in 99 00:05:56,040 --> 00:05:58,040 Speaker 3: a little over one hundred and twenty two thousand dollars. 100 00:05:58,080 --> 00:06:02,039 Speaker 3: So one hundred and ninety eight thousand dollars total for 101 00:06:02,680 --> 00:06:04,960 Speaker 3: bighorn cheap conservation from the sale of. 102 00:06:04,960 --> 00:06:07,599 Speaker 2: Tags, from the sale of six hundred tags. 103 00:06:07,680 --> 00:06:11,760 Speaker 3: Yeah, not a lot of money. You know. I started 104 00:06:11,800 --> 00:06:16,040 Speaker 3: really looking at this ten years prior, back in twenty fourteen, 105 00:06:16,080 --> 00:06:18,159 Speaker 3: and looked and thought, because I was, I was fortunate 106 00:06:18,240 --> 00:06:21,080 Speaker 3: up to take a big horn in our unlimited area 107 00:06:22,640 --> 00:06:26,320 Speaker 3: in twenty fourteen, I paid regulations. Oh crazy, you know, 108 00:06:26,360 --> 00:06:30,320 Speaker 3: I was. I was a non resident hunter. I paid 109 00:06:30,360 --> 00:06:35,800 Speaker 3: seven hundred and fifty bucks. Coincidentally, that year at our show, 110 00:06:35,920 --> 00:06:39,279 Speaker 3: the Montana tag sold for four hundred and eighty thousand 111 00:06:39,320 --> 00:06:44,880 Speaker 3: dollars twenty thirteen, so I was looking at the funding model, going, 112 00:06:44,960 --> 00:06:47,200 Speaker 3: this is kind of interesting. You know, how relevant are 113 00:06:47,200 --> 00:06:52,720 Speaker 3: these tags to Wild Chief conservation? How relevant is Wild 114 00:06:52,800 --> 00:06:56,040 Speaker 3: Chief Foundation to the Wild Chief economy because we're one 115 00:06:56,080 --> 00:06:58,440 Speaker 3: of the organizations that sells the most. So I did 116 00:06:58,560 --> 00:07:00,000 Speaker 3: kind of a deep dive and I had a couple 117 00:07:00,120 --> 00:07:04,320 Speaker 3: of our biologists look at WAFWA data, and you know, 118 00:07:04,440 --> 00:07:07,760 Speaker 3: I think at back in twenty fourteen, it hasn't changed 119 00:07:07,800 --> 00:07:09,320 Speaker 3: too much. I think it was about one hundred and 120 00:07:09,320 --> 00:07:13,520 Speaker 3: twenty thousand dollars came to the state on the non 121 00:07:13,760 --> 00:07:17,600 Speaker 3: auction or raffle tech. Well, hell you can't. You can't 122 00:07:17,640 --> 00:07:20,360 Speaker 3: buy a pickup truck and fund a biologist for that. 123 00:07:20,680 --> 00:07:22,240 Speaker 3: So how the hell are we going to fund wild 124 00:07:22,320 --> 00:07:26,080 Speaker 3: cheap conservation? And that's really what Ed Hirschler was looking 125 00:07:26,120 --> 00:07:30,400 Speaker 3: at back in nineteen eighty is that they don't pay 126 00:07:30,480 --> 00:07:33,080 Speaker 3: their way. They're just there's so few of them, and 127 00:07:33,120 --> 00:07:36,840 Speaker 3: the revenues so stream is so small. From the whether 128 00:07:36,880 --> 00:07:40,640 Speaker 3: they're l EH tags or not, that there's l EH 129 00:07:40,960 --> 00:07:44,280 Speaker 3: limited entry hunting. You know what most of us in 130 00:07:44,360 --> 00:07:46,800 Speaker 3: North America see is well, we got to apply for 131 00:07:46,840 --> 00:07:50,560 Speaker 3: a sheep tag. You know, we're blessed in Montana the 132 00:07:50,200 --> 00:07:54,280 Speaker 3: only Lower forty eight state that you can in effect 133 00:07:54,400 --> 00:07:57,120 Speaker 3: buying over the counter sheep tag. Pretty fricking cool. We've 134 00:07:57,120 --> 00:08:00,760 Speaker 3: got to protect that. Alaska obviously you can buy over 135 00:08:00,960 --> 00:08:05,920 Speaker 3: counter dolls tag, although now that's every third year for 136 00:08:05,960 --> 00:08:09,440 Speaker 3: a non resident. Canada's where you can you know, just 137 00:08:09,880 --> 00:08:12,320 Speaker 3: buy over the counter. For Canadian residents, you know, we 138 00:08:12,360 --> 00:08:15,280 Speaker 3: obviously have to have an outfitter. So it was a 139 00:08:15,400 --> 00:08:20,680 Speaker 3: unique funding model, and it's it's certainly grown, you know, 140 00:08:20,720 --> 00:08:23,160 Speaker 3: in Wild Chief Foundation. Quite frankly, it has been you know, 141 00:08:23,240 --> 00:08:28,040 Speaker 3: kind of the premier governor's tag, and now we like 142 00:08:28,080 --> 00:08:30,720 Speaker 3: to call them conservation permits because that's really what they are, 143 00:08:31,400 --> 00:08:37,160 Speaker 3: because they're not only governors. British Columbia has a minister's license. 144 00:08:37,240 --> 00:08:41,600 Speaker 3: Alberta has a minister's license. Tribal tags we sell. We 145 00:08:41,720 --> 00:08:44,480 Speaker 3: sell tags for the Taus Pueblo, for the Navajo Nation, 146 00:08:44,640 --> 00:08:47,920 Speaker 3: We've sold them for the Wala Pie, We've sold them 147 00:08:47,960 --> 00:08:51,040 Speaker 3: for the Kwani First Nation up in up in Northwest, 148 00:08:51,320 --> 00:08:54,920 Speaker 3: I'm sorry, in Yukon. So it's you know, we we 149 00:08:54,920 --> 00:08:57,880 Speaker 3: we glump them into a little i think more descriptive 150 00:09:00,000 --> 00:09:04,000 Speaker 3: definition called a conservation permit, which I think really identifies 151 00:09:04,040 --> 00:09:07,920 Speaker 3: what they are. And Stephen back in twenty fourteen, when 152 00:09:07,960 --> 00:09:10,480 Speaker 3: I ask our conservation guys to do this deep dive, 153 00:09:10,880 --> 00:09:15,080 Speaker 3: they used Western Association of Fishing wildliche Agency data WAFFWA 154 00:09:15,240 --> 00:09:20,640 Speaker 3: data and found that seventy three percent of all wild 155 00:09:20,679 --> 00:09:27,160 Speaker 3: sheep agency funding came from either a auction tag, conservation permit, 156 00:09:27,840 --> 00:09:30,800 Speaker 3: or a raffle tag, with the majority of the money 157 00:09:30,840 --> 00:09:34,720 Speaker 3: coming in from an auction tag. Fast forward ten years later, 158 00:09:34,760 --> 00:09:39,840 Speaker 3: we're still still quantifying the data. Right now, it's about 159 00:09:39,840 --> 00:09:44,080 Speaker 3: eighty three percent in the United States of sheep sheep 160 00:09:44,200 --> 00:09:47,720 Speaker 3: conservation funding at the agency level come from either an 161 00:09:47,760 --> 00:09:49,400 Speaker 3: off auction or raffle tech. 162 00:09:49,559 --> 00:09:53,840 Speaker 4: So is it like when one of these tags, conservation permit, 163 00:09:53,920 --> 00:09:56,480 Speaker 4: government tag, whatever you want to call them, get sold, 164 00:09:57,400 --> 00:10:01,559 Speaker 4: is it mandated that that money goes is too wild 165 00:10:01,679 --> 00:10:03,080 Speaker 4: cheap conservation? 166 00:10:03,320 --> 00:10:07,440 Speaker 3: Or is it diluted? It all roady? That's that's the 167 00:10:07,520 --> 00:10:12,640 Speaker 3: million dollar question. The easy answer is yes. Now it's 168 00:10:12,720 --> 00:10:15,440 Speaker 3: you know, the proofs in the pudding and in the implementation. 169 00:10:17,600 --> 00:10:20,719 Speaker 3: You know, one of the misnomers is you know, I 170 00:10:20,760 --> 00:10:24,280 Speaker 3: mean we just we just had our convention in Reno. 171 00:10:24,360 --> 00:10:29,000 Speaker 3: We sold thirty tags. We're going to direct about six 172 00:10:29,080 --> 00:10:35,040 Speaker 3: point eight million dollars to state, provincial, tribal, territorial, and 173 00:10:35,480 --> 00:10:41,079 Speaker 3: federal agencies to the sale of those thirty tags. By statute, 174 00:10:41,320 --> 00:10:45,040 Speaker 3: Wild Sheep Foundation has to direct those moneies to the agency. 175 00:10:46,400 --> 00:10:49,480 Speaker 3: What the agencies do for it a little deeper dive, 176 00:10:49,520 --> 00:10:52,640 Speaker 3: and I'd like to jump into that, but a misnomer is, 177 00:10:52,679 --> 00:10:54,840 Speaker 3: oh my god, weld Chief Foundation got all this money. 178 00:10:55,080 --> 00:11:01,880 Speaker 3: No Arizona one hundred percent of the proceeds from the 179 00:11:01,920 --> 00:11:05,520 Speaker 3: sale of any any special tag conservation permit that we 180 00:11:05,840 --> 00:11:09,199 Speaker 3: go back to the state Arizona Game and Fish Nevada 181 00:11:09,240 --> 00:11:16,280 Speaker 3: one goes back to Nevada Department of Wildlife. The average 182 00:11:16,440 --> 00:11:19,640 Speaker 3: that we would retain is about ten percent. If you 183 00:11:19,640 --> 00:11:23,400 Speaker 3: look at look at all the agencies. If you look 184 00:11:23,440 --> 00:11:26,600 Speaker 3: at just this last two weeks ago at our sheep show, 185 00:11:29,520 --> 00:11:33,080 Speaker 3: seven point three some odd million, we're going to keep 186 00:11:33,280 --> 00:11:36,800 Speaker 3: six hundred and some odd thousand. It's eight point nine 187 00:11:36,840 --> 00:11:39,839 Speaker 3: percent coming back to the Wild Chief Foundation from the 188 00:11:40,200 --> 00:11:42,760 Speaker 3: sale of those tags. Again, some of them are one 189 00:11:42,840 --> 00:11:46,160 Speaker 3: hundred percent of the agencies, most of them are around ten. 190 00:11:47,200 --> 00:11:53,080 Speaker 3: British Columbia is fifteen percent that we can retain. Alaska, 191 00:11:53,120 --> 00:11:56,160 Speaker 3: interesting enough, has a different kind of a rule. But 192 00:11:56,200 --> 00:11:59,080 Speaker 3: the moneys have to go back to an Alaska NGO. 193 00:11:59,600 --> 00:12:03,880 Speaker 3: So we we sell the conservation permit, one goes back 194 00:12:03,920 --> 00:12:07,800 Speaker 3: to our Alaska chapter. I think they keep fifteen percent 195 00:12:07,880 --> 00:12:10,280 Speaker 3: and then they direct the rest to State of Alaska. 196 00:12:10,600 --> 00:12:14,080 Speaker 3: So I can certainly show you where Wild Chief Foundation 197 00:12:14,240 --> 00:12:18,200 Speaker 3: directs our monies. I mean, this year we're budgeting about 198 00:12:18,360 --> 00:12:21,360 Speaker 3: two point seven two point eight in grant eight going 199 00:12:21,480 --> 00:12:26,520 Speaker 3: out of a three point seven million that will fund education, conservation, 200 00:12:26,840 --> 00:12:33,160 Speaker 3: you know, education, youth education, engaging women disease research. But 201 00:12:33,600 --> 00:12:35,800 Speaker 3: so much of what we do is grant neate out. 202 00:12:36,440 --> 00:12:38,920 Speaker 3: An agency or a chapter applies for a grant, we 203 00:12:38,960 --> 00:12:42,240 Speaker 3: give that money away. We keep six hundred and some 204 00:12:42,320 --> 00:12:47,080 Speaker 3: one thousand dollars from these permits we're giving away three 205 00:12:47,120 --> 00:12:49,960 Speaker 3: point seven. You know, it's not a it's not a 206 00:12:50,080 --> 00:12:52,600 Speaker 3: money maker for us, but it is a hell of 207 00:12:52,640 --> 00:12:55,560 Speaker 3: a money maker for the agencies. And that's that's what 208 00:12:55,559 --> 00:13:00,520 Speaker 3: we're trying to focus on. And you know, if there's 209 00:13:00,559 --> 00:13:03,560 Speaker 3: a better way to do it, we're all ears because 210 00:13:03,640 --> 00:13:08,880 Speaker 3: our focus is that ram you or lamb on the 211 00:13:08,920 --> 00:13:12,079 Speaker 3: ridge line, and how do we put money into the 212 00:13:12,120 --> 00:13:16,200 Speaker 3: agency to affect their conservation, their enhancement, their repatriation, the 213 00:13:16,280 --> 00:13:21,719 Speaker 3: restoration habitat and all that. Uh so did I did 214 00:13:21,720 --> 00:13:24,439 Speaker 3: I pass? Did we call it conservation permit? 215 00:13:24,559 --> 00:13:27,160 Speaker 2: Yeah, I'm happy with the definition of conservation permit. 216 00:13:27,760 --> 00:13:32,160 Speaker 1: Uh one of the things. So this is something I said. 217 00:13:32,640 --> 00:13:34,679 Speaker 1: If you look at our thing, krinn was a quote, 218 00:13:34,720 --> 00:13:35,760 Speaker 1: they made an extra tag. 219 00:13:36,840 --> 00:13:39,120 Speaker 5: Yeah, you were, you were. I think you were trying 220 00:13:39,120 --> 00:13:40,040 Speaker 5: to figure out. 221 00:13:39,920 --> 00:13:43,160 Speaker 4: Like I think what you were saying is it wasn't 222 00:13:43,200 --> 00:13:45,840 Speaker 4: coming out of the same pool that people drop. 223 00:13:46,280 --> 00:13:47,800 Speaker 2: Whose side was I on when I said that. 224 00:13:49,360 --> 00:13:51,840 Speaker 3: There, I think it got you on the right side, 225 00:13:51,880 --> 00:13:53,319 Speaker 3: because that's absolutely correct. 226 00:13:53,640 --> 00:13:58,000 Speaker 5: Okay, you qualified that you were like undecided and split 227 00:13:58,120 --> 00:13:58,800 Speaker 5: down the middle. 228 00:13:59,440 --> 00:14:00,920 Speaker 2: What I said, this is one of the two things. 229 00:14:00,960 --> 00:14:02,400 Speaker 1: No, I remember, I said, this is one of the 230 00:14:02,400 --> 00:14:04,080 Speaker 1: few things in life I don't have an opinion about. 231 00:14:04,320 --> 00:14:04,920 Speaker 3: I'm too torn. 232 00:14:05,040 --> 00:14:06,719 Speaker 2: Yeah, yeah, we can. 233 00:14:06,800 --> 00:14:08,959 Speaker 5: We can bring in some of Cow's arguments later. I 234 00:14:09,040 --> 00:14:10,720 Speaker 5: think that's that's interesting. 235 00:14:11,760 --> 00:14:14,400 Speaker 1: Okay, So let's let's let's dive into one of the 236 00:14:14,559 --> 00:14:18,520 Speaker 1: let's let's dive into one of these these aspects of 237 00:14:18,520 --> 00:14:23,920 Speaker 1: governor's tags. It gets people riled up, right, Sorry, conservation permits. 238 00:14:24,360 --> 00:14:27,760 Speaker 1: I'm gonna call them governor's tags, okay, just because that's well, no, 239 00:14:27,800 --> 00:14:32,160 Speaker 1: I'll try to I say governor's tags. Other guys know 240 00:14:32,160 --> 00:14:34,200 Speaker 1: what I'm talking about. If I say conservation tag, They're 241 00:14:34,200 --> 00:14:35,280 Speaker 1: not going to know what I'm talking about. 242 00:14:35,360 --> 00:14:37,680 Speaker 4: The rebranding is it's kind of like the Golf of 243 00:14:37,720 --> 00:14:39,040 Speaker 4: Mexico and the Gulf of America. 244 00:14:39,200 --> 00:14:39,560 Speaker 2: But then it. 245 00:14:41,160 --> 00:14:43,280 Speaker 5: Doesn't mean that we should stick with. 246 00:14:44,800 --> 00:14:48,280 Speaker 3: Stick with governor's tags. But when we go to when 247 00:14:48,320 --> 00:14:52,840 Speaker 3: we go to b C or permit where we're talking tribal, 248 00:14:52,880 --> 00:14:54,160 Speaker 3: I'll call it a tribal permit. 249 00:14:54,280 --> 00:14:59,560 Speaker 2: Okay, you know there's an outfitter. Uh, there's a guide that. 250 00:14:59,720 --> 00:15:03,720 Speaker 1: So I'm talking about Golf of America. 251 00:15:05,000 --> 00:15:06,920 Speaker 4: I kind of felt like you wouldn't let that just go. 252 00:15:08,640 --> 00:15:11,880 Speaker 1: There's a there's a So sometimes when we spearfish down 253 00:15:11,880 --> 00:15:14,080 Speaker 1: in Louisiana, we stay in this place and next to 254 00:15:14,120 --> 00:15:17,320 Speaker 1: the place is the Golf of America charter. 255 00:15:18,360 --> 00:15:20,560 Speaker 4: You know, Oh, that's the name of their outfitter. 256 00:15:20,680 --> 00:15:23,040 Speaker 1: That was my first because this is years ago, that 257 00:15:23,080 --> 00:15:25,320 Speaker 1: was my first awareness. I just like chuckled about the 258 00:15:25,320 --> 00:15:26,000 Speaker 1: Golf of America. 259 00:15:26,040 --> 00:15:27,000 Speaker 3: He was ahead of the game. 260 00:15:27,440 --> 00:15:29,240 Speaker 1: He's way ahead of so it must have been brewing 261 00:15:29,280 --> 00:15:33,640 Speaker 1: a long time. I got like, I'm totally fine golf. 262 00:15:34,040 --> 00:15:39,720 Speaker 1: I'm totally fine golf of America. 263 00:15:39,560 --> 00:15:44,240 Speaker 2: The Nalely. I feel like that's pretty solidified in Alaskan culture. 264 00:15:44,840 --> 00:15:45,080 Speaker 3: Yeah. 265 00:15:46,960 --> 00:15:49,640 Speaker 1: Even the politicians in Alaska like what Yeah, I don't 266 00:15:49,640 --> 00:15:51,280 Speaker 1: know it was a problem with the name. 267 00:15:51,360 --> 00:15:55,960 Speaker 3: I do remember it being McKinley. Uh. 268 00:15:56,680 --> 00:16:00,440 Speaker 1: Okay, here's one. Here's a governor's tag argument folks make 269 00:16:00,480 --> 00:16:01,880 Speaker 1: when they're arguing about this. Oh you know what, you 270 00:16:01,880 --> 00:16:03,600 Speaker 1: know what made me they want to think about this? 271 00:16:03,880 --> 00:16:09,840 Speaker 1: In all fairness, we have to get into the fact 272 00:16:09,880 --> 00:16:13,080 Speaker 1: that there is a class there's there's a class issue here. 273 00:16:13,240 --> 00:16:14,680 Speaker 3: Yeah, but that question. 274 00:16:14,840 --> 00:16:19,760 Speaker 1: So the other night, uh, Saturday, two Saturdays ago. I 275 00:16:19,760 --> 00:16:23,280 Speaker 1: didn't watch it, but I watched on YouTube. David Chappelle 276 00:16:23,840 --> 00:16:28,960 Speaker 1: did the opening monologue on Saturday Night Live. And Chappelle 277 00:16:29,000 --> 00:16:31,720 Speaker 1: was talking about the LA fires, and he was talking 278 00:16:31,720 --> 00:16:36,560 Speaker 1: about reading commentary and news articles of people saying, uh, 279 00:16:37,560 --> 00:16:40,760 Speaker 1: you know, I'm glad those rich Californians there's houses are 280 00:16:40,760 --> 00:16:45,800 Speaker 1: getting burned down, and he said, Chappelle says, that's why 281 00:16:45,800 --> 00:16:49,120 Speaker 1: I hate poor people. They can't see beyond their own pain. 282 00:16:52,840 --> 00:16:58,560 Speaker 1: So there there is a there is a class issue 283 00:16:58,560 --> 00:17:05,320 Speaker 1: to this, Like anything to do with wealth access, any 284 00:17:05,400 --> 00:17:11,200 Speaker 1: kind of financial privilege, right, is going to generate animosity. 285 00:17:11,560 --> 00:17:11,720 Speaker 3: Right. 286 00:17:12,000 --> 00:17:16,000 Speaker 1: You hear someone went to Yale, there's a judgment. Like 287 00:17:16,200 --> 00:17:19,879 Speaker 1: if that's not part of your family trajectory, there's a 288 00:17:19,960 --> 00:17:21,960 Speaker 1: judgment if someone has. 289 00:17:22,119 --> 00:17:24,280 Speaker 4: It doesn't matter in America, doesn't matter if you're talking 290 00:17:24,280 --> 00:17:26,320 Speaker 4: about sheep or like. 291 00:17:28,000 --> 00:17:29,560 Speaker 3: Real estate or whatever. 292 00:17:29,800 --> 00:17:33,080 Speaker 1: It's like there is like he paid blank million for 293 00:17:33,160 --> 00:17:37,800 Speaker 1: that house boom, right, Like there's a judgment, right, and so. 294 00:17:39,400 --> 00:17:41,480 Speaker 2: We need to get there, Like I'd like to get 295 00:17:41,520 --> 00:17:42,040 Speaker 2: there on the. 296 00:17:42,040 --> 00:17:47,320 Speaker 1: Issue of just like a perceived sense in America, like 297 00:17:47,440 --> 00:17:50,800 Speaker 1: I guess globally historically, a perceived sense that there's like 298 00:17:50,840 --> 00:17:55,119 Speaker 1: two playing fields and that the people of wealth have 299 00:17:55,280 --> 00:17:58,000 Speaker 1: access to things that that people don't have, and implied 300 00:17:58,040 --> 00:17:59,840 Speaker 1: and add to some sort of sense that most people 301 00:18:00,080 --> 00:18:03,440 Speaker 1: have wealth don't deserve it. So that's just burning, that's 302 00:18:03,480 --> 00:18:06,800 Speaker 1: simmering underground, and we'll remember to get to it. But 303 00:18:06,920 --> 00:18:12,040 Speaker 1: let's start with another. Let's start with a less philosophical point, 304 00:18:12,119 --> 00:18:19,359 Speaker 1: because this is just like a factual point. Give me 305 00:18:19,400 --> 00:18:22,639 Speaker 1: a how many tags did Montana issue for big horns? 306 00:18:23,119 --> 00:18:25,200 Speaker 3: One one for auction one for raffle. 307 00:18:25,359 --> 00:18:29,200 Speaker 2: No, no, I'm sorry, six hundred. In twenty twenty three, 308 00:18:29,240 --> 00:18:32,280 Speaker 2: it was six hundred and fifty six total. Okay, there 309 00:18:32,359 --> 00:18:36,640 Speaker 2: is a perception that right that it would. 310 00:18:36,480 --> 00:18:40,960 Speaker 1: Have been sorry, somebody the number again, six fifty six. 311 00:18:41,920 --> 00:18:45,000 Speaker 1: So through the public draw they issue six hundred and 312 00:18:45,040 --> 00:18:48,320 Speaker 1: fifty six big horn tags. There's a perception that the 313 00:18:48,400 --> 00:18:52,280 Speaker 1: number would have been six hundred and fifty seven. 314 00:18:52,440 --> 00:18:54,840 Speaker 2: Correct, So that one other. 315 00:18:56,240 --> 00:18:58,120 Speaker 3: We should use a state that doesn't have nearly as many, 316 00:18:58,160 --> 00:19:00,280 Speaker 3: because there's so many and it seems like a lot 317 00:19:00,320 --> 00:19:00,520 Speaker 3: of mine. 318 00:19:00,600 --> 00:19:03,399 Speaker 1: What's the state that doesn't have shit for big horn tags? 319 00:19:03,600 --> 00:19:07,879 Speaker 3: Nebraska? I don't want to go that extreme as a 320 00:19:07,920 --> 00:19:11,960 Speaker 3: big horn tag, all right, but yeah, no, I see 321 00:19:11,960 --> 00:19:12,280 Speaker 3: your point. 322 00:19:12,320 --> 00:19:15,000 Speaker 2: There's a perception there it should have been six fifty seven. 323 00:19:15,600 --> 00:19:20,760 Speaker 1: So some lucky guy, some some would be lucky guy 324 00:19:20,840 --> 00:19:23,160 Speaker 1: that would have gone down and did the draw got 325 00:19:23,320 --> 00:19:27,960 Speaker 1: screwed out of his big horn tag. Okay, But they 326 00:19:28,160 --> 00:19:32,320 Speaker 1: auctioned it off to the highest bidder. So we've seen 327 00:19:32,359 --> 00:19:36,760 Speaker 1: a diminishment of the public pool. Now I want you 328 00:19:36,800 --> 00:19:38,960 Speaker 1: to tackle whether that's true or not. But then that's 329 00:19:38,960 --> 00:19:44,320 Speaker 1: gonna bring up a broader question if if they create 330 00:19:44,400 --> 00:19:51,960 Speaker 1: an extra tag to facilitate a conservation tag auction, that 331 00:19:52,000 --> 00:19:54,159 Speaker 1: makes me feel like the number of tags they're issuing 332 00:19:54,560 --> 00:19:58,439 Speaker 1: becomes kind of arbitrary, Like, how do you create an 333 00:19:58,440 --> 00:20:01,160 Speaker 1: extra tag if the the number of tags that are 334 00:20:01,160 --> 00:20:05,280 Speaker 1: being distributed is like a biologically driven reality? 335 00:20:05,880 --> 00:20:09,760 Speaker 2: Meaning if it, how did it go from six fifty 336 00:20:09,760 --> 00:20:10,879 Speaker 2: six to six fifty seven? 337 00:20:13,440 --> 00:20:16,560 Speaker 3: So I got a, I think an answer that you're 338 00:20:16,600 --> 00:20:20,520 Speaker 3: going to appreciate, you know. Again, Well, I'll go back 339 00:20:20,520 --> 00:20:23,399 Speaker 3: to the unlimited area. You know, we've got three to 340 00:20:23,440 --> 00:20:26,240 Speaker 3: four to five kind of depending on the year, unlimited areas. 341 00:20:28,320 --> 00:20:31,320 Speaker 3: You know, our our guru in this state, the biologist 342 00:20:31,320 --> 00:20:36,919 Speaker 3: Sean Stewart. You listen to him talk about the the allocation, 343 00:20:37,119 --> 00:20:39,640 Speaker 3: the quota for those used to be three and some 344 00:20:39,760 --> 00:20:42,879 Speaker 3: now it's pretty much two. We all know there's some 345 00:20:43,000 --> 00:20:47,960 Speaker 3: years that they take three, four, five, sometimes six. You know, 346 00:20:48,000 --> 00:20:51,560 Speaker 3: so you might have a quota of two, but there's 347 00:20:51,600 --> 00:20:54,760 Speaker 3: six taken legally. Yeah, can you explain how that happens? 348 00:20:55,400 --> 00:20:58,480 Speaker 3: Just for that's it? Well, so there's a there's a 349 00:20:58,640 --> 00:21:03,359 Speaker 3: forty eight hour window when the season closes. You know, 350 00:21:03,440 --> 00:21:06,359 Speaker 3: in my particular case, I took a ram i was 351 00:21:06,400 --> 00:21:09,560 Speaker 3: the second ram taken in twenty fourteen in the unit 352 00:21:09,600 --> 00:21:14,240 Speaker 3: I was hunting. Tried to close the season by sending 353 00:21:14,280 --> 00:21:17,320 Speaker 3: an end reach in. They don't accept that, so, you know, 354 00:21:17,400 --> 00:21:19,960 Speaker 3: went through my wife and then called fish Wildife Parks. 355 00:21:20,000 --> 00:21:22,320 Speaker 3: They go, no, Gray's got to call you. Uh, I 356 00:21:22,320 --> 00:21:24,000 Speaker 3: don't know sell signal. I don't. I don't have a 357 00:21:24,040 --> 00:21:25,920 Speaker 3: cell signal. I don't have a SAT phone, so I'm 358 00:21:26,000 --> 00:21:28,520 Speaker 3: using in reach and and you know, long and short. 359 00:21:28,680 --> 00:21:30,800 Speaker 3: Sean finally went, oh, wait a minute, I know who 360 00:21:30,800 --> 00:21:32,800 Speaker 3: that guy is. And oh, by the way, he's with 361 00:21:32,920 --> 00:21:35,520 Speaker 3: Jack Atchison. If there's anyone that knows sheep, it's Jack, 362 00:21:36,119 --> 00:21:38,639 Speaker 3: and uh, yeah, we're going to close the season. But 363 00:21:39,000 --> 00:21:41,720 Speaker 3: in that case, there was another twenty four hour delay 364 00:21:41,760 --> 00:21:44,879 Speaker 3: and another sheep was taken, so three sheep were taken 365 00:21:45,280 --> 00:21:50,119 Speaker 3: legally in the unit on a QUOTEA of two. There's 366 00:21:50,160 --> 00:21:54,920 Speaker 3: been times where you know, five people shoot a sheep 367 00:21:54,960 --> 00:21:58,480 Speaker 3: in one day. You've got to you've got to You've 368 00:21:58,480 --> 00:22:01,640 Speaker 3: got forty eight hours to to report that to either 369 00:22:01,640 --> 00:22:04,640 Speaker 3: a conservation officer or a game board or a biologist. 370 00:22:04,800 --> 00:22:08,119 Speaker 3: So there's that lag period. You listen to Sean Stewart, 371 00:22:08,240 --> 00:22:16,560 Speaker 3: he's he'll tell you it's biologically insignificant, so that that third, fourth, fifth, 372 00:22:16,600 --> 00:22:22,520 Speaker 3: even six sheep is biologically insignificant in the overall scheme 373 00:22:23,160 --> 00:22:25,960 Speaker 3: of the unlimited units that he's responsible for. So we 374 00:22:26,080 --> 00:22:29,800 Speaker 3: take that Stephen go back to you know, the state 375 00:22:29,840 --> 00:22:33,480 Speaker 3: of Montana, and you're you were absolutely correct. It is 376 00:22:33,680 --> 00:22:40,280 Speaker 3: by typically by the legislature, an authorized additional tag to 377 00:22:40,520 --> 00:22:43,000 Speaker 3: what game and fish is going to say, hey, this 378 00:22:43,080 --> 00:22:46,120 Speaker 3: is this is what our off take is going to be. 379 00:22:46,920 --> 00:22:51,280 Speaker 3: The typical off take for bighorn sheep males that's considered 380 00:22:51,320 --> 00:22:57,120 Speaker 3: sustainable is from a from an allocation standpoint is two 381 00:22:57,160 --> 00:23:02,680 Speaker 3: to three percent of males. Sue conservative, Wow, so that's lower, right, 382 00:23:02,880 --> 00:23:07,800 Speaker 3: super conservative. So that's what the state's going to allodate or. 383 00:23:07,720 --> 00:23:13,240 Speaker 1: The orre low because I know this is this is 384 00:23:13,280 --> 00:23:16,040 Speaker 1: really hard to People are going to argue about these 385 00:23:16,080 --> 00:23:18,840 Speaker 1: numbers all the time. Sure, but I've heard with deer 386 00:23:18,920 --> 00:23:23,560 Speaker 1: management thirteen percent not just the males. 387 00:23:23,240 --> 00:23:25,639 Speaker 3: But the hurt right, and and you know, and now 388 00:23:25,720 --> 00:23:28,960 Speaker 3: think of recruitment. You know, to to increase a herd, 389 00:23:29,000 --> 00:23:32,840 Speaker 3: you need recruitment of twenty twenty two to twenty three percent, 390 00:23:32,880 --> 00:23:34,920 Speaker 3: whether it's big orn cheap, whether it's elk, whether it's 391 00:23:35,040 --> 00:23:38,280 Speaker 3: mule deer, whether it's white tail. Well, now we're harvesting 392 00:23:38,880 --> 00:23:41,879 Speaker 3: and if and if you look at the again WAFA data, 393 00:23:42,359 --> 00:23:45,600 Speaker 3: it's like one to three percent is the average male 394 00:23:46,320 --> 00:23:50,800 Speaker 3: off take. So so we're already managing to a super 395 00:23:51,080 --> 00:23:56,720 Speaker 3: conservative harvest. So Montana does. Then the legislature comes through 396 00:23:56,760 --> 00:23:58,919 Speaker 3: and said, hey, we're going to to raise money for 397 00:23:59,080 --> 00:24:02,800 Speaker 3: Montana fish wilife. Part. We're going to authorize one auction tag, 398 00:24:03,359 --> 00:24:05,680 Speaker 3: one ravel tag, and add two. So if we can 399 00:24:05,720 --> 00:24:09,200 Speaker 3: go back to Sean Stewart's presentation where he's saying, hey, look, 400 00:24:09,320 --> 00:24:12,000 Speaker 3: even in the three to four to five unlimited areas 401 00:24:12,800 --> 00:24:15,600 Speaker 3: with a with a quota of two per unit, if 402 00:24:15,600 --> 00:24:18,200 Speaker 3: they go over one year by two or three or four, 403 00:24:18,520 --> 00:24:22,880 Speaker 3: biologically insignificant, I'm not concerned about. So to your point, 404 00:24:24,160 --> 00:24:30,000 Speaker 3: we're already managing super conservatively on bighorn cheap that those 405 00:24:30,240 --> 00:24:33,960 Speaker 3: one to two. Wyoming's got five Nevada, you know, five 406 00:24:33,960 --> 00:24:36,720 Speaker 3: big worn cheap permits they authorize on auction. 407 00:24:37,400 --> 00:24:37,640 Speaker 6: Uh. 408 00:24:37,680 --> 00:24:39,840 Speaker 3: They then have you know, they have their commissioner tags, 409 00:24:39,880 --> 00:24:42,200 Speaker 3: but those aren't for big worn cheap. Those are ALC 410 00:24:42,359 --> 00:24:47,639 Speaker 3: mule deer, prong horn moose. I think there's a moose tag, 411 00:24:47,760 --> 00:24:52,639 Speaker 3: not not a commissioner. So you were absolutely correct that 412 00:24:52,680 --> 00:24:55,800 Speaker 3: these are additive. And what's what's amazing is when you 413 00:24:55,840 --> 00:25:00,280 Speaker 3: look at you know, and you we sold you word 414 00:25:00,280 --> 00:25:04,920 Speaker 3: one hundred and ninety two thousand dollars in Montana in 415 00:25:05,320 --> 00:25:09,360 Speaker 3: twenty twenty three. We sold the tag. We directed two 416 00:25:09,480 --> 00:25:13,240 Speaker 3: hundred and eighty eight thousand dollars on the auction tag 417 00:25:13,280 --> 00:25:16,280 Speaker 3: to fish, Wildlife and Parks. That adds to their one 418 00:25:16,359 --> 00:25:18,879 Speaker 3: ninety two. We did a raffle back then too. It 419 00:25:18,880 --> 00:25:21,119 Speaker 3: was one hundred and twenty five, so one hundred and 420 00:25:21,119 --> 00:25:23,719 Speaker 3: twenty five thousand for raffle. We double it, more than 421 00:25:23,760 --> 00:25:26,040 Speaker 3: double it for the auction tag and then add that 422 00:25:26,160 --> 00:25:32,080 Speaker 3: to the resident license. Still not a lot of money. 423 00:25:34,800 --> 00:25:36,800 Speaker 1: So hit me with the hit me with the amount. 424 00:25:37,880 --> 00:25:41,080 Speaker 1: Hit me with the amount that went in the tag 425 00:25:41,119 --> 00:25:45,040 Speaker 1: and license fees for the public draw versus. 426 00:25:45,600 --> 00:25:49,120 Speaker 3: Like the one hundred and ninety two thousand dollars two 427 00:25:49,200 --> 00:25:52,800 Speaker 3: hundred and fifty and twenty twenty three for six hundred 428 00:25:52,800 --> 00:25:55,360 Speaker 3: and fifty six tags and then the auction tag. Then 429 00:25:55,400 --> 00:25:58,439 Speaker 3: we add one more auction tag. We added another two 430 00:25:58,560 --> 00:26:02,280 Speaker 3: hundred and eighty eight added one raffle tag one hundred 431 00:26:02,320 --> 00:26:06,359 Speaker 3: and twenty five. So so I guess the you know, 432 00:26:06,560 --> 00:26:08,720 Speaker 3: but you're you're so right. I mean, so here's the 433 00:26:08,880 --> 00:26:13,680 Speaker 3: here's the thing that that I guess frustrates us on 434 00:26:13,720 --> 00:26:20,840 Speaker 3: this side. There's not a financial argument that you can 435 00:26:20,880 --> 00:26:22,920 Speaker 3: make to say that it's the wrong thing to do. 436 00:26:23,640 --> 00:26:28,000 Speaker 3: So it really is a social justice argument. And so 437 00:26:29,280 --> 00:26:32,320 Speaker 3: you know, I can show all the statistics that will 438 00:26:32,359 --> 00:26:36,439 Speaker 3: say that look uh, and you know it's additive, it's not. 439 00:26:36,800 --> 00:26:39,160 Speaker 2: It's not you know, I'm a regular guy. 440 00:26:42,240 --> 00:26:43,600 Speaker 3: Am I going to be able to buy one of 441 00:26:43,600 --> 00:26:46,800 Speaker 3: these tags? Not unless I rob a whole hell of 442 00:26:46,840 --> 00:26:50,520 Speaker 3: a lot of liquor stores or win the lottery. But 443 00:26:51,320 --> 00:26:54,640 Speaker 3: I'll tell you what I'm thrilled with, and that is 444 00:26:54,720 --> 00:26:59,159 Speaker 3: that somebody is willing to do that, and because of 445 00:26:59,200 --> 00:27:04,040 Speaker 3: that money, it's offering more opportunity for regular guys and 446 00:27:04,119 --> 00:27:09,439 Speaker 3: regular gals like me. So you know, that's that's the 447 00:27:09,720 --> 00:27:13,239 Speaker 3: crux of the argument. And then I you know, when 448 00:27:13,320 --> 00:27:15,720 Speaker 3: we dive into the social side of it, because there 449 00:27:15,760 --> 00:27:18,800 Speaker 3: is it's a and it's sad. I mean, if you know, 450 00:27:18,800 --> 00:27:24,560 Speaker 3: if I mean, I drive a twenty seventeen Toyta pickup truck. 451 00:27:25,240 --> 00:27:27,399 Speaker 3: You know what, it works, got one hundred and fifty 452 00:27:27,760 --> 00:27:31,920 Speaker 3: six thousand miles on it. I drive by somebody who's 453 00:27:31,920 --> 00:27:34,679 Speaker 3: got one of those new GMC at four's, Boy, that 454 00:27:34,720 --> 00:27:38,280 Speaker 3: looks slick. Do I have to have that? Am I? 455 00:27:38,560 --> 00:27:39,800 Speaker 3: You know? Am I envious? 456 00:27:39,920 --> 00:27:40,120 Speaker 6: Well? 457 00:27:40,680 --> 00:27:42,840 Speaker 3: I don't know. It's like, well maybe one of these days. 458 00:27:42,880 --> 00:27:47,800 Speaker 3: But my truck still pulls my trailer. I'm okay. So 459 00:27:47,920 --> 00:27:50,720 Speaker 3: I look at these guys or gals that are buying 460 00:27:50,760 --> 00:27:55,200 Speaker 3: these tags, and I'm I'm grateful because it's wildlife philanthropy. 461 00:27:56,320 --> 00:28:01,560 Speaker 2: Let me hate you with this though, Okay, one good? Okay, 462 00:28:01,800 --> 00:28:03,600 Speaker 2: where is ten good? 463 00:28:04,119 --> 00:28:08,720 Speaker 1: Like like, if it's if it's financial, if it's strictly financial, 464 00:28:08,800 --> 00:28:11,680 Speaker 1: how far would you extend that logic? Like if there's 465 00:28:11,680 --> 00:28:14,679 Speaker 1: six hundred tags, would you start to feel uncomfortable if 466 00:28:14,720 --> 00:28:16,679 Speaker 1: we auctioned five hundred of them? 467 00:28:16,960 --> 00:28:18,359 Speaker 3: You know what you're going to have is law of 468 00:28:18,400 --> 00:28:23,080 Speaker 3: diminishing returns. And we saw that in Alberta where they thought, 469 00:28:23,080 --> 00:28:25,200 Speaker 3: you know, Alberta was you know, that's where the. 470 00:28:25,119 --> 00:28:28,680 Speaker 2: Big sheep were and so like in a very specific 471 00:28:28,720 --> 00:28:29,359 Speaker 2: place too. 472 00:28:29,280 --> 00:28:31,840 Speaker 3: Right, Yeah, well yeah it was and it was Cataman, 473 00:28:31,960 --> 00:28:34,359 Speaker 3: you know, it was around the Cataman Mine and uh 474 00:28:34,440 --> 00:28:38,160 Speaker 3: and so they're basically you know, park sheep coming out 475 00:28:38,520 --> 00:28:40,400 Speaker 3: if they come out, or they can just hang and 476 00:28:40,440 --> 00:28:42,640 Speaker 3: you could sit there and every guy there's you know, 477 00:28:42,680 --> 00:28:45,640 Speaker 3: there's a specific rock I think it's called Hot Rock 478 00:28:45,760 --> 00:28:48,880 Speaker 3: or something like that that these people would literally be 479 00:28:49,120 --> 00:28:51,440 Speaker 3: lined from the trailhead get to Hot Rock and then 480 00:28:51,600 --> 00:28:54,200 Speaker 3: just wait and see if these big rams would come 481 00:28:54,240 --> 00:28:57,320 Speaker 3: out of the park. And it's Jasper, that's the park, 482 00:28:57,800 --> 00:29:01,600 Speaker 3: and sometimes they would, sometimes they would, but they're big 483 00:29:01,600 --> 00:29:06,880 Speaker 3: sheep man. You know, the the prior hunted world record 484 00:29:07,000 --> 00:29:09,960 Speaker 3: was taken there and so that's where people were chasing 485 00:29:09,960 --> 00:29:13,880 Speaker 3: that tag, and that's where those dollars went. Well, Alberta 486 00:29:13,880 --> 00:29:16,800 Speaker 3: at one point thought hmm, you know, maybe we can 487 00:29:17,040 --> 00:29:19,440 Speaker 3: maybe we can make even more money. So they started 488 00:29:19,480 --> 00:29:25,240 Speaker 3: adding more and more auction tags and even even some 489 00:29:25,560 --> 00:29:29,200 Speaker 3: more L e H tags to that same area, and 490 00:29:29,240 --> 00:29:31,880 Speaker 3: then you had a hunting experience. It wasn't exactly the 491 00:29:32,520 --> 00:29:35,600 Speaker 3: most enjoyable. Everyone's making a bee line for Hot Rock 492 00:29:35,680 --> 00:29:37,760 Speaker 3: and then they're all sitting around the rock waiting, you know, 493 00:29:38,760 --> 00:29:40,240 Speaker 3: for a big sheep to come out of the park. 494 00:29:40,320 --> 00:29:43,600 Speaker 3: So I'm being a little facetious, but that's basically so 495 00:29:43,640 --> 00:29:46,640 Speaker 3: you can have a law of diminishing returns. Really interesting 496 00:29:46,680 --> 00:29:52,000 Speaker 3: this year, Arizona last year chose their commission. That's my 497 00:29:52,040 --> 00:29:52,480 Speaker 3: next question. 498 00:29:52,480 --> 00:29:53,880 Speaker 2: You're you're doing my next question. 499 00:29:53,960 --> 00:29:55,960 Speaker 3: Yeah, Arizona shows. 500 00:29:56,440 --> 00:30:00,480 Speaker 2: Did Arizona get rid of Governor's Day? They did, They 501 00:30:00,520 --> 00:30:02,280 Speaker 2: did take it away, They. 502 00:30:02,120 --> 00:30:04,920 Speaker 3: Got rid of Governor's tags and they're going to a raffle. 503 00:30:06,800 --> 00:30:10,320 Speaker 3: So while Chief Foundation was given the last Desert bighorn 504 00:30:10,400 --> 00:30:15,000 Speaker 3: sheep tag to sell an auction unless there's a commission change, 505 00:30:15,040 --> 00:30:17,920 Speaker 3: and you know, I mean it's politics at this point, 506 00:30:18,920 --> 00:30:22,960 Speaker 3: we were also given a pronghorn anallop tag. Last year 507 00:30:22,960 --> 00:30:25,640 Speaker 3: we sold the Arizona tag. I think it was for 508 00:30:25,680 --> 00:30:27,920 Speaker 3: four hundred and twenty four hundred and I think I 509 00:30:27,960 --> 00:30:30,680 Speaker 3: have that data. What did we sell that tag for? Yeah, 510 00:30:30,680 --> 00:30:33,200 Speaker 3: four thirty four hundred and thirty thousand dollars. One hundred 511 00:30:33,240 --> 00:30:36,320 Speaker 3: percent of those dollars go right back to Arizona. Game 512 00:30:36,360 --> 00:30:38,920 Speaker 3: to fish. This year we sold it for five five 513 00:30:39,000 --> 00:30:42,640 Speaker 3: hundred thousand dollars. Crazy, you want to really go nuts. 514 00:30:43,720 --> 00:30:47,960 Speaker 3: We sold the Arizona prong horn tag in twenty twenty 515 00:30:47,960 --> 00:30:51,960 Speaker 3: four for ninety five thousand dollars. A prong horn tag. 516 00:30:52,040 --> 00:30:54,120 Speaker 3: The last one going to be on auction sold for 517 00:30:54,200 --> 00:30:57,720 Speaker 3: two hundred and fifteen thousand dollars. One hundred percent of 518 00:30:57,720 --> 00:31:00,800 Speaker 3: those dollars go right back to Arizona Game Fish. Now 519 00:31:01,880 --> 00:31:03,959 Speaker 3: now it's going to go to raffles. We all know 520 00:31:04,680 --> 00:31:07,360 Speaker 3: that you're not going to make the same amount of money. 521 00:31:08,720 --> 00:31:15,920 Speaker 3: Organizations NGOs in Arizona boked and didn't even apply for 522 00:31:16,000 --> 00:31:19,080 Speaker 3: these tags, while Chief Foundation looked at it and said, 523 00:31:19,120 --> 00:31:21,000 Speaker 3: you know, I mean we could. We could thump our 524 00:31:21,080 --> 00:31:23,480 Speaker 3: chests and go, aren't we great? You know we're selling 525 00:31:23,480 --> 00:31:25,800 Speaker 3: these tags are unbelievable amount of money. You're not doing 526 00:31:25,800 --> 00:31:27,640 Speaker 3: what we want, so we're not going to play your game. 527 00:31:28,280 --> 00:31:30,800 Speaker 3: We didn't. We thought, no, let's have a seat at 528 00:31:30,840 --> 00:31:33,200 Speaker 3: the table. We'd rather be at the table and talking 529 00:31:33,440 --> 00:31:35,800 Speaker 3: and doing something good for wildlife. So we applied for 530 00:31:35,880 --> 00:31:38,240 Speaker 3: their bighorn tag and we're going to raffle that off. 531 00:31:39,720 --> 00:31:42,440 Speaker 3: I think it sold at Arizona Desert Big Worn Sheep Society, 532 00:31:42,920 --> 00:31:47,560 Speaker 3: who we partner with in Arizona on the Desert Big 533 00:31:47,640 --> 00:31:52,160 Speaker 3: Orn tag on the Arizona prong Horn tag. Arizona Desert 534 00:31:52,200 --> 00:31:55,000 Speaker 3: Big Worn Sheep Society sold the big Horn tag last 535 00:31:55,040 --> 00:31:58,080 Speaker 3: year at their their banquet in May, three hundred and fifty, 536 00:31:58,080 --> 00:32:03,200 Speaker 3: three hundred and sixty thousand dollars. We'll probably, through a raffle, 537 00:32:03,320 --> 00:32:06,160 Speaker 3: be able to direct one hundred and twenty five hundred 538 00:32:06,200 --> 00:32:09,760 Speaker 3: and fifty thousand to Arizona game fish versus the three 539 00:32:10,520 --> 00:32:13,560 Speaker 3: fifty or three sixty, and then you compare it to 540 00:32:13,600 --> 00:32:16,880 Speaker 3: the five hundred and then we get into the equity 541 00:32:16,920 --> 00:32:19,840 Speaker 3: of raffles. And that's that's a question I'd love to ask, 542 00:32:20,000 --> 00:32:24,000 Speaker 3: is you know, those that think that raffles are equitable 543 00:32:24,840 --> 00:32:28,800 Speaker 3: need to look a little deeper dive there. A Washington 544 00:32:28,960 --> 00:32:34,600 Speaker 3: resident can't purchase an online raffle outside of his or 545 00:32:34,640 --> 00:32:36,960 Speaker 3: her state because a gambling law gambling. 546 00:32:36,920 --> 00:32:40,080 Speaker 5: Even is this a similar thing that we went through 547 00:32:40,120 --> 00:32:43,000 Speaker 5: and we both purchase we weren't physically in the state 548 00:32:43,040 --> 00:32:43,600 Speaker 5: of Arizona. 549 00:32:43,600 --> 00:32:45,000 Speaker 2: I don't know if that was a gambling law or 550 00:32:45,040 --> 00:32:45,640 Speaker 2: just the rule. 551 00:32:46,160 --> 00:32:49,880 Speaker 3: No, it's so in Washington, it's it's there. It's their 552 00:32:50,000 --> 00:32:55,800 Speaker 3: state Gaming Commission because that is gambling. Yeah, and you know, now, 553 00:32:55,840 --> 00:32:57,880 Speaker 3: if you're in state, you can do an in state, 554 00:32:57,960 --> 00:33:01,560 Speaker 3: but if we're out of state, we can't. We can't sell. 555 00:33:01,720 --> 00:33:05,120 Speaker 3: We've Arizona got burned on this. Arizona has a super 556 00:33:05,200 --> 00:33:09,120 Speaker 3: teche and they've pretty much they used to sell them 557 00:33:09,120 --> 00:33:09,440 Speaker 3: to do it. 558 00:33:10,640 --> 00:33:13,200 Speaker 2: You know, they did exceptionally well on those. 559 00:33:13,680 --> 00:33:15,520 Speaker 3: They were selling them out of state. They got a 560 00:33:15,560 --> 00:33:19,200 Speaker 3: call from the Gaming Commission of Washington State saying, hey, 561 00:33:19,240 --> 00:33:21,280 Speaker 3: you're selling to Washington residence. 562 00:33:21,320 --> 00:33:22,040 Speaker 2: Yeah, we sure are. 563 00:33:22,080 --> 00:33:24,240 Speaker 3: You a great opportunity for them. We're raising money for 564 00:33:25,960 --> 00:33:30,200 Speaker 3: profit and they said, you're violating our state gaming laws. 565 00:33:30,760 --> 00:33:34,680 Speaker 3: You got to refund that money. Karine and I were 566 00:33:34,680 --> 00:33:38,160 Speaker 3: talking about the pandemic. Wild Chie Foundation got kind of 567 00:33:38,200 --> 00:33:40,800 Speaker 3: clever during the pandemic. We're all fighting to figure out 568 00:33:40,840 --> 00:33:44,200 Speaker 3: how the hell are we going to raise money. We 569 00:33:44,200 --> 00:33:50,640 Speaker 3: we actually sourced out of DOA a a virtual yes, 570 00:33:51,080 --> 00:33:55,680 Speaker 3: a virtual expo thing rather interesting. We had to change 571 00:33:55,720 --> 00:33:58,120 Speaker 3: all the avatars. There were no blonde people in in 572 00:33:58,240 --> 00:34:02,120 Speaker 3: this uh in this expo, but that's a whole and 573 00:34:02,160 --> 00:34:05,360 Speaker 3: no cowboy hats, a no ball cat so you know, Brodie, 574 00:34:05,440 --> 00:34:07,680 Speaker 3: they you know, we could not find a ball cap 575 00:34:07,760 --> 00:34:12,800 Speaker 3: in this uh this cutter application. But I digress a 576 00:34:12,840 --> 00:34:15,200 Speaker 3: little bit. But what what was really interesting is so 577 00:34:15,239 --> 00:34:18,680 Speaker 3: we said, okay, we're basically selling a ticket to sit 578 00:34:18,719 --> 00:34:21,800 Speaker 3: in front of your MacBook or your PC and watch 579 00:34:21,880 --> 00:34:25,040 Speaker 3: our show our auctions online. Those are easy to do. 580 00:34:25,280 --> 00:34:28,319 Speaker 3: Expo a little more difficult. And you know what. To 581 00:34:28,400 --> 00:34:31,840 Speaker 3: incentivize you to buy this ticket, We'll put you in 582 00:34:31,880 --> 00:34:35,200 Speaker 3: a drawing for a desert big one cheap hunt. Fair enough, 583 00:34:35,280 --> 00:34:36,560 Speaker 3: you know. All you have to do is buy the 584 00:34:36,560 --> 00:34:40,000 Speaker 3: ticket and you're you're in the drawing and somebody is 585 00:34:40,000 --> 00:34:43,360 Speaker 3: going to win a desert big one cheap hunt. I 586 00:34:43,400 --> 00:34:47,279 Speaker 3: get a call from Washington Gaming Commission and they said, hey, 587 00:34:47,280 --> 00:34:49,879 Speaker 3: you're you're conducting a raffle. And I went, We're not 588 00:34:49,960 --> 00:34:51,960 Speaker 3: conducting a row. What you know, what do you I 589 00:34:52,040 --> 00:34:53,880 Speaker 3: finally figured out what. I said, Oh wait a minute, 590 00:34:53,960 --> 00:34:56,399 Speaker 3: are are Yeah, No, you've got some registration thing. You're 591 00:34:56,400 --> 00:35:00,719 Speaker 3: giving away a desert big one cheaphunt. Yeah. Yeah. He said, 592 00:35:00,719 --> 00:35:05,279 Speaker 3: well you can't do that in Washington. You're based in Montana. 593 00:35:05,360 --> 00:35:07,799 Speaker 3: I said, wow, Actually, we're kind of clever. We run 594 00:35:07,880 --> 00:35:10,680 Speaker 3: our programs for a raffles out of Wyoming. But this 595 00:35:10,719 --> 00:35:13,000 Speaker 3: isn't a raffle, so this is just a registration thing. 596 00:35:13,360 --> 00:35:15,480 Speaker 3: He says, you're still breaking our gaming laws. You've been 597 00:35:15,560 --> 00:35:19,000 Speaker 3: there's been a complaint against you. Oh my god. Really, 598 00:35:19,040 --> 00:35:23,719 Speaker 3: we had. We had to refund twenty seven thousand dollars 599 00:35:23,760 --> 00:35:28,279 Speaker 3: in registrations we had to make to make to make 600 00:35:28,320 --> 00:35:31,520 Speaker 3: it at least fair to our Washington folks that wanted 601 00:35:31,560 --> 00:35:33,960 Speaker 3: to participate. We just said, hey, we're refunding your money 602 00:35:34,239 --> 00:35:37,080 Speaker 3: and if you want to attend our virtual convention you 603 00:35:37,080 --> 00:35:39,400 Speaker 3: can do so for free. Well that happened in it 604 00:35:40,000 --> 00:35:44,960 Speaker 3: the band fishing during the pandemic. Yeah, go figure. So 605 00:35:45,800 --> 00:35:50,719 Speaker 3: the laws are so crazy, you know, look at you know, 606 00:35:50,840 --> 00:35:56,520 Speaker 3: Montana is an interesting one. We accept on raffle checks cash, 607 00:35:56,880 --> 00:36:02,000 Speaker 3: debit cards, not credit cards. So if you're conducting a 608 00:36:02,120 --> 00:36:04,600 Speaker 3: raffle in Montana, you got to make sure that your 609 00:36:04,640 --> 00:36:08,200 Speaker 3: system knows that that that visa that somebody just sent 610 00:36:08,239 --> 00:36:11,520 Speaker 3: you was a debit card, not a credit card. And 611 00:36:11,600 --> 00:36:14,279 Speaker 3: we've been stung on that one. Arizona got stung their 612 00:36:14,280 --> 00:36:17,520 Speaker 3: super raffle got stung really really bad by Washington. So 613 00:36:17,680 --> 00:36:20,280 Speaker 3: now and Brody, I think you touched on it. Now 614 00:36:20,440 --> 00:36:25,600 Speaker 3: Arizona is only conducting their I forget what they're calling 615 00:36:25,600 --> 00:36:27,400 Speaker 3: it now, it's not the it's not the super tags 616 00:36:27,400 --> 00:36:30,800 Speaker 3: but in state. So now you have a and Steve, 617 00:36:30,840 --> 00:36:31,840 Speaker 3: you touched on that, you know. 618 00:36:31,880 --> 00:36:33,640 Speaker 2: Now you have me got boned out of one hundred 619 00:36:33,680 --> 00:36:34,120 Speaker 2: bucks apiece? 620 00:36:34,440 --> 00:36:43,360 Speaker 3: Yeah, yeah, so raffles are not as equitable as they may. 621 00:36:43,280 --> 00:36:45,080 Speaker 2: So let's back up to Arizona. 622 00:36:46,000 --> 00:36:49,680 Speaker 1: Uh, because really this decision that came out of Arizona 623 00:36:49,840 --> 00:36:51,000 Speaker 1: drove this whole conversation. 624 00:36:51,160 --> 00:36:51,399 Speaker 3: Yeah. 625 00:36:51,760 --> 00:36:54,520 Speaker 2: I mean we've definitely, over the years, have touched on it. 626 00:36:55,000 --> 00:36:57,680 Speaker 1: I have always been like, uh, I've always been torn 627 00:36:57,719 --> 00:37:01,880 Speaker 1: by the issue recognizing the money, but then also you know, 628 00:37:01,960 --> 00:37:04,680 Speaker 1: like I recognized the tremendous amount of money that goes 629 00:37:04,719 --> 00:37:07,719 Speaker 1: to conservation, and I also recognized the kind of populous 630 00:37:07,880 --> 00:37:10,800 Speaker 1: rage against like who the hell has four hundred thousand 631 00:37:10,840 --> 00:37:13,200 Speaker 1: dollars to buy a sheep tag? And why does he 632 00:37:13,280 --> 00:37:13,640 Speaker 1: get one? 633 00:37:13,680 --> 00:37:14,120 Speaker 3: But I don't. 634 00:37:14,920 --> 00:37:17,920 Speaker 2: I recognize both sides of this. But what really fueled 635 00:37:18,080 --> 00:37:24,880 Speaker 2: this renewed conversation was Arizona's decision, the commission decision, and 636 00:37:24,920 --> 00:37:26,719 Speaker 2: it came to a vote and they said that going 637 00:37:26,719 --> 00:37:30,080 Speaker 2: into the future, we're going to step away from doing 638 00:37:30,120 --> 00:37:35,920 Speaker 2: auction tags, Right, Like, what's your understanding of of that process, 639 00:37:36,000 --> 00:37:39,080 Speaker 2: Like what were the inputs they were looking at? Was 640 00:37:39,440 --> 00:37:40,960 Speaker 2: it primarily social pressure? 641 00:37:42,440 --> 00:37:47,840 Speaker 3: I would say it's social pressure is probably the biggest one. 642 00:37:48,000 --> 00:37:52,600 Speaker 3: The revenue side was certainly expressed. I was actually asked 643 00:37:52,680 --> 00:37:57,120 Speaker 3: to do a video for their commission by the chair. 644 00:37:58,040 --> 00:38:00,319 Speaker 3: We did. We did a six minute version, we did 645 00:38:00,400 --> 00:38:02,640 Speaker 3: cut it down to a three minute version. Talked about, 646 00:38:02,719 --> 00:38:07,279 Speaker 3: you know, how much money is raised for Arizona, you know, 647 00:38:07,320 --> 00:38:10,520 Speaker 3: what will happen to bighorn sheep. But you know, now 648 00:38:10,600 --> 00:38:13,440 Speaker 3: you look at that pronghorn two hundred and fifteen thousand dollars, 649 00:38:13,440 --> 00:38:15,880 Speaker 3: what will happen to pronghorn conservation? What's going to have 650 00:38:16,000 --> 00:38:18,239 Speaker 3: You know, is there anyone in this room that can 651 00:38:18,280 --> 00:38:21,080 Speaker 3: tell me that there's an agency that has too much money? 652 00:38:21,200 --> 00:38:24,520 Speaker 3: From a wildlife agency standpoint, you know, maybe maybe a 653 00:38:24,520 --> 00:38:27,799 Speaker 3: few government agencies we'd like to cut out, but you know, 654 00:38:27,840 --> 00:38:33,239 Speaker 3: from a wildlife agency in the United States, everyone's clamoring 655 00:38:33,280 --> 00:38:35,719 Speaker 3: for more dollars. You know, we need more biologists, we 656 00:38:35,760 --> 00:38:38,000 Speaker 3: need more trucks, we need more uniforms, we need more 657 00:38:38,040 --> 00:38:40,919 Speaker 3: habitat improvement, you know all of that. So it wasn't 658 00:38:40,960 --> 00:38:43,440 Speaker 3: a money thing, it was a it was a there 659 00:38:43,480 --> 00:38:46,880 Speaker 3: was some pressure from some groups that really do think 660 00:38:46,960 --> 00:38:51,680 Speaker 3: the raffle is the way to go because of Steven 661 00:38:51,760 --> 00:38:55,840 Speaker 3: exactly what you said. It's a it's a. It's an 662 00:38:55,960 --> 00:39:02,680 Speaker 3: envy thing. It is a polarize a thing, and we 663 00:39:02,800 --> 00:39:05,600 Speaker 3: see it in all walks of life, whether you know, 664 00:39:05,640 --> 00:39:08,960 Speaker 3: whether it's a guy that's you know, lauding and applauding, 665 00:39:09,520 --> 00:39:13,080 Speaker 3: somebody's home in Pacific Palisades being burned because you know, 666 00:39:13,120 --> 00:39:15,120 Speaker 3: he or she is pursued to be rich and I'm not. 667 00:39:17,239 --> 00:39:19,920 Speaker 3: You know, I I don't buy into that, but I 668 00:39:20,360 --> 00:39:24,399 Speaker 3: recognize it. You know, I recognize there's also and it's 669 00:39:24,400 --> 00:39:26,400 Speaker 3: been said, well, this is you know, this is a 670 00:39:26,719 --> 00:39:31,200 Speaker 3: this is against the North American wildlife conservation model. Shane 671 00:39:31,200 --> 00:39:33,520 Speaker 3: Mahoney and I are really really close friends, and we 672 00:39:33,560 --> 00:39:36,719 Speaker 3: share a stage around the world on giving speeches and 673 00:39:36,800 --> 00:39:40,880 Speaker 3: the like. I used to in my presentations called the 674 00:39:41,520 --> 00:39:44,720 Speaker 3: you know this this auction tag, governor's tag, special permit 675 00:39:45,640 --> 00:39:48,759 Speaker 3: conservation permit. I used to call it a bastardization of 676 00:39:48,800 --> 00:39:51,640 Speaker 3: the North American egalitarian model. He said, ah, you know 677 00:39:51,719 --> 00:39:54,560 Speaker 3: this is, but it raises all this money I had. 678 00:39:54,719 --> 00:39:56,160 Speaker 3: She used to say that. I used to say it, 679 00:39:56,200 --> 00:39:57,920 Speaker 3: and I said, oh, it's a bastardization of. 680 00:39:57,880 --> 00:39:58,960 Speaker 2: The model, but it works. 681 00:39:59,080 --> 00:40:02,080 Speaker 3: How long ago is that Shane and I were in 682 00:40:02,080 --> 00:40:05,840 Speaker 3: my drift boat on the Yellowstone eight years ago. He 683 00:40:05,880 --> 00:40:08,560 Speaker 3: and his wife. He's, you know, say hey, let me 684 00:40:08,560 --> 00:40:10,759 Speaker 3: float you down the Yellowstone. You're such a busy guy. 685 00:40:11,120 --> 00:40:12,960 Speaker 3: Watch a fly fish a little bit, and you know, 686 00:40:13,000 --> 00:40:15,520 Speaker 3: typical typical Shane. He just kind of puts the rod down. 687 00:40:15,600 --> 00:40:17,840 Speaker 3: He's looking around and then in that voice of Moses, 688 00:40:18,520 --> 00:40:23,040 Speaker 3: you know, great, I want to tell you something. You're wrong. 689 00:40:24,120 --> 00:40:28,520 Speaker 3: I went all right wrong a lot every single day. 690 00:40:28,520 --> 00:40:30,440 Speaker 3: What am I wrong? At this time? He goes, you know, 691 00:40:30,560 --> 00:40:36,560 Speaker 3: I've heard you on stage call this Governor's Tag Conservation 692 00:40:36,640 --> 00:40:40,160 Speaker 3: Permit model a bastardization of the North American model, and 693 00:40:40,200 --> 00:40:45,040 Speaker 3: you're wrong. I said, Well, you, being the foremost spokesperson 694 00:40:45,160 --> 00:40:48,400 Speaker 3: for the model, tell me why. And he says, you know, 695 00:40:48,480 --> 00:40:53,160 Speaker 3: one of the pillars of the model is state and 696 00:40:53,440 --> 00:40:59,080 Speaker 3: agency determination of how is the most efficient way for 697 00:40:59,200 --> 00:41:04,000 Speaker 3: them to raise money for wildlife. If a state determines 698 00:41:04,160 --> 00:41:07,080 Speaker 3: that a auction tag or a raffle tag, or come 699 00:41:07,160 --> 00:41:11,000 Speaker 3: up withever, whatever program it is, is the most efficient 700 00:41:11,160 --> 00:41:15,160 Speaker 3: efficient mechanism, well then that's consistent with a model. We 701 00:41:15,280 --> 00:41:19,600 Speaker 3: just did a permit discussion at our sheep show in 702 00:41:19,640 --> 00:41:25,520 Speaker 3: our full curl Cinema had Shane my EVP of Conservation 703 00:41:25,600 --> 00:41:28,799 Speaker 3: Corey Mason, myself doing a Q and A afterwards, and 704 00:41:28,840 --> 00:41:32,080 Speaker 3: Shane said it again. He goes, you know, this is 705 00:41:32,200 --> 00:41:38,240 Speaker 3: consistent with the model. The challenge is the social license 706 00:41:39,040 --> 00:41:42,160 Speaker 3: and Steve, it's what you said, and you cannot discount that. 707 00:41:44,080 --> 00:41:46,400 Speaker 3: You know. I could certainly talk about a way to 708 00:41:46,520 --> 00:41:50,399 Speaker 3: look at it that maybe will sway some views on it, 709 00:41:50,440 --> 00:41:54,520 Speaker 3: but there is just a built in, you know, even 710 00:41:54,560 --> 00:41:58,640 Speaker 3: though it's additive, even though it's driving eighty three percent 711 00:41:58,680 --> 00:42:03,719 Speaker 3: of the conservation dot for wild sheep at the agency 712 00:42:03,800 --> 00:42:07,399 Speaker 3: level in our country, there's still this Well, so what 713 00:42:07,920 --> 00:42:10,839 Speaker 3: I don't care about the money. It's just not fair. 714 00:42:11,560 --> 00:42:17,000 Speaker 3: Somebody is able to buy something that I can't. Well, 715 00:42:19,680 --> 00:42:23,040 Speaker 3: and I guess I look at that, and I mentioned 716 00:42:23,080 --> 00:42:28,560 Speaker 3: the term wildlife philanthropy. You know, you look at a 717 00:42:28,640 --> 00:42:32,680 Speaker 3: high net worth individual and we applaud when there's a 718 00:42:32,800 --> 00:42:36,320 Speaker 3: name on a hospital wing because they donated a potload 719 00:42:36,360 --> 00:42:39,840 Speaker 3: of money to that hospital, or they donated to feeding 720 00:42:39,840 --> 00:42:46,239 Speaker 3: the hungry, or to the welfare of pets, or a 721 00:42:46,280 --> 00:42:53,160 Speaker 3: football stadium or an art museum, and we applaud that philanthropy. Philanthropy, Well, this, 722 00:42:53,280 --> 00:42:59,360 Speaker 3: in my opinion, is wildlife philanthropy. Why don't we applaud. 723 00:42:58,760 --> 00:43:01,560 Speaker 1: That because they're getting, because they would get they would 724 00:43:01,600 --> 00:43:06,680 Speaker 1: get universally applauded if they weren't taking the tag. If 725 00:43:06,680 --> 00:43:08,920 Speaker 1: some guy got up at Sheep at your at your 726 00:43:09,000 --> 00:43:11,799 Speaker 1: convention in Reno, and some guys said, hey, man, no 727 00:43:11,880 --> 00:43:14,600 Speaker 1: strings attached, I don't want ship for it. Here's five 728 00:43:14,680 --> 00:43:19,399 Speaker 1: hundred thousand dollars from Wild Sheep in Arizona one, that'd 729 00:43:19,400 --> 00:43:21,239 Speaker 1: be the that'd be the response. I mean, like, if 730 00:43:21,280 --> 00:43:23,719 Speaker 1: you're actually asking the question, that would be why. And 731 00:43:23,920 --> 00:43:25,319 Speaker 1: it again, it's like. 732 00:43:26,880 --> 00:43:29,920 Speaker 3: Building people, doesn't, doesn't, isn't isn't an accolade too? 733 00:43:30,160 --> 00:43:31,719 Speaker 2: And I get it it is. 734 00:43:32,120 --> 00:43:33,960 Speaker 1: It's a mark, But I don't think like if if 735 00:43:34,200 --> 00:43:39,920 Speaker 1: Verizon underwrites a sports stadium as a marketing play, I 736 00:43:39,960 --> 00:43:42,120 Speaker 1: don't think that Verizon. 737 00:43:41,680 --> 00:43:45,160 Speaker 3: Is applauded, No, the recognized. 738 00:43:45,400 --> 00:43:47,839 Speaker 1: It's like it's like sort of there's a there's a 739 00:43:47,960 --> 00:43:51,520 Speaker 1: quid pro quo to it. It's like, yes, they're underwriting 740 00:43:51,560 --> 00:43:54,799 Speaker 1: the sports stadium, but it's like a marketing expense. So 741 00:43:56,680 --> 00:43:59,080 Speaker 1: if you could somehow get into a guy's head who's 742 00:43:59,440 --> 00:44:02,399 Speaker 1: buying a shep tag for four hundred thousand dollars and 743 00:44:02,600 --> 00:44:06,640 Speaker 1: he was gonna go write the check anyway, because he 744 00:44:06,680 --> 00:44:10,560 Speaker 1: believes that much in wild sheep. But then like as 745 00:44:10,560 --> 00:44:14,960 Speaker 1: a little added perk, got a tag too. I think 746 00:44:15,040 --> 00:44:18,879 Speaker 1: that that would that would diminish some of the social condemnation. 747 00:44:19,120 --> 00:44:21,600 Speaker 1: But I don't think people are looking at it. If 748 00:44:21,640 --> 00:44:24,000 Speaker 1: talking about people who feel burned by governor's tags, I 749 00:44:24,000 --> 00:44:26,400 Speaker 1: don't think they're looking at it that it was a donation. 750 00:44:27,120 --> 00:44:30,160 Speaker 1: I think they're looking at it that it was a purchase. 751 00:44:30,440 --> 00:44:32,440 Speaker 5: I think you're looking at the psychology of it. 752 00:44:32,600 --> 00:44:33,719 Speaker 2: Yeah, and they are. 753 00:44:33,800 --> 00:44:36,839 Speaker 3: They're certainly getting a benefit back even if they don't 754 00:44:36,840 --> 00:44:40,000 Speaker 3: take the sheep, And that certainly happened. I mean, I 755 00:44:40,960 --> 00:44:43,680 Speaker 3: you know a good friend of mine from Texas, you know, 756 00:44:43,800 --> 00:44:47,200 Speaker 3: back in the day in Alberta. I think he I 757 00:44:47,239 --> 00:44:52,160 Speaker 3: think he bought the tag. He bought it two or 758 00:44:52,200 --> 00:44:56,880 Speaker 3: three times and didn't take a sheep once. There was 759 00:44:56,920 --> 00:45:00,759 Speaker 3: another guy that was always chasing I mean since pass 760 00:45:01,320 --> 00:45:05,480 Speaker 3: and I think he he bought it at least three times, 761 00:45:05,600 --> 00:45:10,600 Speaker 3: didn't take a sheep twice. So I see your point, 762 00:45:10,640 --> 00:45:13,520 Speaker 3: and it's and it really had Yeah, it's to say, 763 00:45:13,840 --> 00:45:17,319 Speaker 3: you know, well, you know what you're getting an opportunity. Well, 764 00:45:17,360 --> 00:45:23,279 Speaker 3: you're getting an opportunity with no with no guarantee. And 765 00:45:23,320 --> 00:45:25,400 Speaker 3: I look back, you know, I look back on the 766 00:45:25,440 --> 00:45:28,920 Speaker 3: guy that that ended up buying that that record Montana 767 00:45:28,960 --> 00:45:31,400 Speaker 3: tag in twenty thirteen, because I, you know, I I 768 00:45:31,560 --> 00:45:36,959 Speaker 3: felt that my seven hundred and fifty dollars tag back 769 00:45:37,000 --> 00:45:39,759 Speaker 3: when Montana Fish, Wildlife and Parks had one hundred and 770 00:45:39,800 --> 00:45:43,239 Speaker 3: twenty dollars in revenue coming in from me, you know 771 00:45:43,400 --> 00:45:48,759 Speaker 3: and others us regular folks, and they got ninety four 772 00:45:48,840 --> 00:45:53,360 Speaker 3: hundred and eighty thousand dollars. That my ability to hunt 773 00:45:53,760 --> 00:45:56,840 Speaker 3: sheep in Montana was because some crazy guy was willing 774 00:45:56,880 --> 00:45:59,360 Speaker 3: to spend that money. And he made an interesting comment 775 00:45:59,400 --> 00:46:02,040 Speaker 3: to me. I you know, I thanked him, and he says, Gray, 776 00:46:02,520 --> 00:46:06,680 Speaker 3: here's the deal. I give to my church, I give 777 00:46:06,760 --> 00:46:10,080 Speaker 3: to he he had another, He had another, you know, 778 00:46:10,200 --> 00:46:12,279 Speaker 3: kind of pet charity he gives to and he goes 779 00:46:13,280 --> 00:46:17,799 Speaker 3: and I give to wild cheap Conservation. Yes. Now does 780 00:46:17,840 --> 00:46:21,040 Speaker 3: he get a spiritual benefit from giving to his church? 781 00:46:21,280 --> 00:46:25,759 Speaker 3: You bet? Does he? You know, it's a little bit 782 00:46:25,760 --> 00:46:28,239 Speaker 3: more than my twenty bucks in the in the tray. 783 00:46:29,760 --> 00:46:36,400 Speaker 3: Does he get a benefit satisfaction out of giving to you? 784 00:46:36,440 --> 00:46:39,280 Speaker 3: Know in this case they were homeless shelters or something 785 00:46:39,320 --> 00:46:42,920 Speaker 3: like that. Sure does he get a benefit from buying 786 00:46:42,960 --> 00:46:47,080 Speaker 3: that cheap tag, Yes he does, But I know I 787 00:46:47,160 --> 00:46:51,279 Speaker 3: did too as the regular guy. I benefited because he 788 00:46:51,400 --> 00:46:58,360 Speaker 3: chose to direct his philanthropy towards conservation, not a football stadium. 789 00:46:58,400 --> 00:47:00,400 Speaker 3: So that's a good point those. 790 00:47:00,320 --> 00:47:05,359 Speaker 2: Dude, let's change let's change course a little bit. 791 00:47:10,239 --> 00:47:13,600 Speaker 1: In conversations with people who who are suspicious of critical 792 00:47:13,680 --> 00:47:18,640 Speaker 1: of auction tags, a common thing people point out is, 793 00:47:18,920 --> 00:47:22,080 Speaker 1: and I've pointed it out myself, is that in some 794 00:47:22,160 --> 00:47:27,560 Speaker 1: cases you get a season that's way longer, you bet, 795 00:47:28,200 --> 00:47:31,879 Speaker 1: like potentially three hundred and sixty five days long. Yeah, 796 00:47:32,600 --> 00:47:35,520 Speaker 1: you sit outside of the unit thing. So Joe Blow 797 00:47:35,640 --> 00:47:38,200 Speaker 1: draws a tag and he might have he might have 798 00:47:38,239 --> 00:47:41,560 Speaker 1: an area ten by twenty miles whatever the hell smaller. 799 00:47:42,080 --> 00:47:43,080 Speaker 2: That's his hunt unit. 800 00:47:45,280 --> 00:47:48,479 Speaker 1: The auction tag holder can hunt any unit that's open 801 00:47:48,560 --> 00:47:51,680 Speaker 1: in the whole damn state, right right, And so people 802 00:47:51,719 --> 00:47:54,960 Speaker 1: look and they'll be like, well, why is that why 803 00:47:55,000 --> 00:47:59,839 Speaker 1: this amazing perk to wealth? Like even once we have 804 00:48:00,080 --> 00:48:04,520 Speaker 1: the tags, are like I won mine on the open 805 00:48:05,280 --> 00:48:06,040 Speaker 1: tag allotment. 806 00:48:07,000 --> 00:48:09,400 Speaker 3: He bought his, but his better mind. 807 00:48:09,320 --> 00:48:11,839 Speaker 4: And something to build on what Steve is saying, like, 808 00:48:11,920 --> 00:48:16,440 Speaker 4: I once listen to a conversation at a Rocky Mountain 809 00:48:16,480 --> 00:48:21,400 Speaker 4: Elk Foundation thing in Colorado where someone had drawn a 810 00:48:21,400 --> 00:48:23,440 Speaker 4: big horn ram tag and a unit where there was 811 00:48:23,480 --> 00:48:26,480 Speaker 4: only one tag, and he spent a bunch of time 812 00:48:26,560 --> 00:48:28,440 Speaker 4: scouting and there was a real big. 813 00:48:28,200 --> 00:48:29,760 Speaker 3: One and I was gonna tell the story. 814 00:48:29,920 --> 00:48:36,160 Speaker 4: Yeah, he on his on his way in scouting one day, 815 00:48:37,640 --> 00:48:39,680 Speaker 4: kind of a posse of dudes are coming down the 816 00:48:39,719 --> 00:48:42,799 Speaker 4: trail and he's like, hey, you know. They strike up 817 00:48:42,800 --> 00:48:45,320 Speaker 4: a conversation. He's like, I got I drew the tag. 818 00:48:45,360 --> 00:48:48,319 Speaker 4: I'm looking for this ram and they were basically like, 819 00:48:48,880 --> 00:48:56,040 Speaker 4: don't bother. Like we're we're guiding the Governor's tag guy 820 00:48:57,320 --> 00:49:01,640 Speaker 4: and they know when the season opened, and they're like, 821 00:49:02,280 --> 00:49:04,200 Speaker 4: we're going to get that thing before you ever have 822 00:49:04,239 --> 00:49:07,520 Speaker 4: a chance to get it. It wasn't like an impolite conversation, 823 00:49:07,640 --> 00:49:09,520 Speaker 4: but it Yeah. 824 00:49:09,280 --> 00:49:10,919 Speaker 2: Because he had his team of he had his team 825 00:49:10,960 --> 00:49:11,400 Speaker 2: of guys. 826 00:49:11,480 --> 00:49:14,120 Speaker 4: Yeah, so there's like a social conflict. 827 00:49:13,840 --> 00:49:18,239 Speaker 3: There, you bet, you bet, and and and that, that, 828 00:49:18,400 --> 00:49:22,960 Speaker 3: in my opinion, is the dirty underbelly m hm. And 829 00:49:22,960 --> 00:49:27,040 Speaker 3: and is something that if we are to retain the 830 00:49:27,160 --> 00:49:31,960 Speaker 3: social license to have these. We need to be able 831 00:49:32,000 --> 00:49:38,759 Speaker 3: to answer those, And I would say, right now, we don't. Well, 832 00:49:39,000 --> 00:49:41,960 Speaker 3: why can't you answer it this way? Because well, let me. 833 00:49:41,920 --> 00:49:45,040 Speaker 1: Provide you with a hypothetical answer. Not hypothetical, but I mean, 834 00:49:45,080 --> 00:49:50,719 Speaker 1: wouldn't it be if we as hunters are agreeing that 835 00:49:52,280 --> 00:49:58,160 Speaker 1: auctioning off a tag for several hundred thousand dollars creates 836 00:49:58,840 --> 00:50:03,640 Speaker 1: more sheep opportunities for everybody, potential leads to bigger, big 837 00:50:03,680 --> 00:50:07,560 Speaker 1: horn populations, so that there's more tags available in the 838 00:50:07,600 --> 00:50:10,320 Speaker 1: general draw. We got healthier sheep herds, we got healthier 839 00:50:10,320 --> 00:50:15,719 Speaker 1: sheep hunting. If we can make that tag even more 840 00:50:15,840 --> 00:50:20,279 Speaker 1: valuable and it's still only costing us one sheep, why 841 00:50:20,320 --> 00:50:24,680 Speaker 1: not do everything we can do to make it more valuable. Well, 842 00:50:24,680 --> 00:50:26,839 Speaker 1: like if you said, if you action to tag off 843 00:50:26,880 --> 00:50:29,160 Speaker 1: and you go, you got seven days, right, all of 844 00:50:29,200 --> 00:50:33,600 Speaker 1: a sudden, the price is probably gonna plumb it without question, 845 00:50:33,920 --> 00:50:36,120 Speaker 1: and so so I mean, but I feel like I'm 846 00:50:36,120 --> 00:50:38,680 Speaker 1: not saying that that's ultimately the answer, but that's kind 847 00:50:38,680 --> 00:50:39,440 Speaker 1: of how I look at it. 848 00:50:39,480 --> 00:50:39,839 Speaker 3: Would be. 849 00:50:40,480 --> 00:50:42,359 Speaker 1: Well, if we're gonna do it, we're gonna give away 850 00:50:42,360 --> 00:50:45,680 Speaker 1: a sheep tag. I don't get the most money you 851 00:50:45,680 --> 00:50:47,640 Speaker 1: can out of the sum bitch, and if you need 852 00:50:47,680 --> 00:50:48,839 Speaker 1: to make the season. 853 00:50:48,520 --> 00:50:51,440 Speaker 2: Longer and that Jack's it up by one hundred thousand dollars. 854 00:50:52,160 --> 00:50:56,160 Speaker 3: Okay, well, and you nailed it. And if you know, 855 00:50:56,400 --> 00:50:59,160 Speaker 3: going back to the prior podcast and the and the 856 00:50:59,200 --> 00:51:04,200 Speaker 3: title you know are Governor's tags on American? Well, no, 857 00:51:04,280 --> 00:51:09,520 Speaker 3: it's a good title. No, you know, these conservation permits 858 00:51:09,520 --> 00:51:14,719 Speaker 3: and these governors tags are absolutely American because it's based 859 00:51:14,760 --> 00:51:16,680 Speaker 3: on subli and de man and a and a and 860 00:51:16,760 --> 00:51:25,000 Speaker 3: an interest in capitalistic process. Now you know that that 861 00:51:25,120 --> 00:51:27,839 Speaker 3: was my argument as well. It's against the egalitarian North 862 00:51:27,880 --> 00:51:33,160 Speaker 3: American model. Shane. Shane corrected me. But Stephen, you're absolutely right. 863 00:51:33,239 --> 00:51:38,719 Speaker 3: But the the the dirty underbelly is perception. And and 864 00:51:38,840 --> 00:51:41,960 Speaker 3: if you know Arizona is a three hundred and sixty 865 00:51:41,960 --> 00:51:50,880 Speaker 3: five day, you know, being intellectually honest, you know, we 866 00:51:50,880 --> 00:51:54,640 Speaker 3: we like to give breeding populations time off. You know, 867 00:51:54,960 --> 00:51:58,879 Speaker 3: Now Montana hunts during the rut for mule deer, we off, 868 00:51:59,000 --> 00:52:01,120 Speaker 3: you know, we archery hunt in the rut for elk 869 00:52:01,200 --> 00:52:07,080 Speaker 3: and others typically bighorn sheep or not in the rut. 870 00:52:07,160 --> 00:52:10,319 Speaker 3: There's some that seasons that they're there. There could be 871 00:52:10,600 --> 00:52:15,520 Speaker 3: certainly these these conservation permits that either are extended season 872 00:52:16,040 --> 00:52:20,600 Speaker 3: earlier season or any unit opens it up to going 873 00:52:20,719 --> 00:52:24,880 Speaker 3: right back to that social question, social license question on 874 00:52:25,600 --> 00:52:28,319 Speaker 3: well how come it's that much different? Well how why 875 00:52:28,400 --> 00:52:31,799 Speaker 3: is it that much different? Because that's what that's what 876 00:52:31,920 --> 00:52:39,080 Speaker 3: increases the price. Classic example is is Alberta. You know, 877 00:52:39,160 --> 00:52:41,919 Speaker 3: they they made which you know, some could say were 878 00:52:41,960 --> 00:52:45,520 Speaker 3: some mistakes, you know, back in the nineties, and they 879 00:52:45,520 --> 00:52:49,239 Speaker 3: were just offering too many tags. Price started to go down, 880 00:52:49,280 --> 00:52:50,880 Speaker 3: and they're going, jeez, you know, we used to be 881 00:52:50,960 --> 00:52:55,200 Speaker 3: the big dog. Now Montana is uh now New Mexico is, 882 00:52:56,560 --> 00:52:59,360 Speaker 3: Arizona was, I mean, it's you know, it's Colorado was 883 00:52:59,440 --> 00:53:01,359 Speaker 3: last year. I mean it's it's kind of amazing when 884 00:53:01,400 --> 00:53:03,239 Speaker 3: you when you look at you know, where the big 885 00:53:03,280 --> 00:53:06,400 Speaker 3: dollars are coming in on these on these conservation permits. 886 00:53:06,920 --> 00:53:12,840 Speaker 4: But stop you does the dollar does the amount change 887 00:53:13,239 --> 00:53:16,080 Speaker 4: based on where the big ram is that year? 888 00:53:16,239 --> 00:53:17,040 Speaker 3: Without question? 889 00:53:18,080 --> 00:53:22,360 Speaker 2: With that of things which is which is a dirty underbelly? 890 00:53:24,560 --> 00:53:29,560 Speaker 5: I also ask with the fewer of a lower number 891 00:53:29,600 --> 00:53:33,279 Speaker 5: of available tags per state, does the number also go up? 892 00:53:37,280 --> 00:53:39,880 Speaker 3: Probably? I couldn't, I couldn't, you know, what we're seeing 893 00:53:40,000 --> 00:53:44,719 Speaker 3: now is just kind of just you know, you look 894 00:53:44,719 --> 00:53:47,360 Speaker 3: at you look at what what. What's been really interesting is, 895 00:53:48,560 --> 00:53:51,960 Speaker 3: you know, kind of ground zero for disease has been 896 00:53:52,000 --> 00:53:59,480 Speaker 3: in the Tristare area, Idaho, Washington, Oregon. Our chapters in 897 00:53:59,520 --> 00:54:02,399 Speaker 3: the read and the agencies in the region, wild cheap 898 00:54:02,440 --> 00:54:07,239 Speaker 3: foundations pump millions of dollars into disease research, into kind 899 00:54:07,239 --> 00:54:11,800 Speaker 3: of some novel separation policies, in some draconian policies like test, 900 00:54:12,239 --> 00:54:13,160 Speaker 3: test and remove. 901 00:54:13,880 --> 00:54:16,200 Speaker 4: We kind of talking pneumonia, correct. 902 00:54:15,920 --> 00:54:19,359 Speaker 3: Yeah, yeah, Michael, plasma. Pneumonia is a setup agent. It's 903 00:54:19,400 --> 00:54:21,880 Speaker 3: a pathogen and what it what it does is it 904 00:54:21,920 --> 00:54:26,479 Speaker 3: can lead to ammonia. Okay. Pneumonia primarily comes from domestic sheep, 905 00:54:26,640 --> 00:54:30,680 Speaker 3: also domestic goats. It can be within a wild cheap population, 906 00:54:30,800 --> 00:54:33,879 Speaker 3: so it can be endemic once they get it from 907 00:54:33,960 --> 00:54:39,399 Speaker 3: a you know, from a vector a source domestic sheeper, goat. Well, 908 00:54:39,440 --> 00:54:43,759 Speaker 3: we've we've done collectively a pretty damn good job of 909 00:54:43,760 --> 00:54:47,440 Speaker 3: of At one point we eliminated Michael plasmo and pneumonia 910 00:54:47,480 --> 00:54:53,960 Speaker 3: from the Hell's Canyon Complex. Better lamb recruitment, big rams 911 00:54:54,360 --> 00:54:58,280 Speaker 3: uh big, you know, And that's just that's just healthy sheep. Now, 912 00:54:58,520 --> 00:55:03,120 Speaker 3: Oregon tags selling like crazy, Idaho tag selling like new 913 00:55:03,160 --> 00:55:07,239 Speaker 3: state records taking in Oregon, Idaho, Washington. So you know, 914 00:55:07,280 --> 00:55:08,480 Speaker 3: there's just this dynamic. 915 00:55:08,640 --> 00:55:11,520 Speaker 2: But the buyers are like, this is the point. 916 00:55:11,800 --> 00:55:15,000 Speaker 1: I think that it's important to getting because it's important 917 00:55:15,000 --> 00:55:18,880 Speaker 1: to cover, because it's part of what it's part of 918 00:55:19,320 --> 00:55:24,720 Speaker 1: the social conversation being one. When when an auction tag 919 00:55:24,760 --> 00:55:35,160 Speaker 1: comes up, oftentimes the buyer is basically buying an opportunity 920 00:55:35,360 --> 00:55:38,239 Speaker 1: to go get a specific sheet that he has been 921 00:55:38,280 --> 00:55:43,160 Speaker 1: made aware of by his outfitter. Yeah, they're like, look here, 922 00:55:43,960 --> 00:55:45,600 Speaker 1: we got a two hundred inch ram. 923 00:55:46,840 --> 00:55:48,920 Speaker 2: You'll get to get it before the public. 924 00:55:50,719 --> 00:55:55,200 Speaker 1: Here, here's a dossier, here's all the photos of it. 925 00:55:55,360 --> 00:55:58,000 Speaker 1: You buy it, you hire us, I'll guy our guys, 926 00:55:58,080 --> 00:56:00,759 Speaker 1: will keep an eye on it, will put six seven 927 00:56:00,800 --> 00:56:04,040 Speaker 1: guys out and watch it. You show up, boom, it's 928 00:56:04,080 --> 00:56:08,839 Speaker 1: yours because we're already on it. And that burns people's ass, it. 929 00:56:08,760 --> 00:56:11,080 Speaker 3: Does, and that and and I would call you know, 930 00:56:11,120 --> 00:56:15,000 Speaker 3: in that scenario, that is a dirty underbella belly. Now 931 00:56:15,000 --> 00:56:17,799 Speaker 3: now you've got another scenario, and but is that the tag? 932 00:56:17,880 --> 00:56:20,480 Speaker 2: But that but again, is that the tag's fault? 933 00:56:20,600 --> 00:56:25,880 Speaker 3: No, it's not. It's it's it's the it's our fault, 934 00:56:26,480 --> 00:56:30,880 Speaker 3: it's it's the you know, let's let's push the envelope 935 00:56:31,000 --> 00:56:37,799 Speaker 3: on fair chase, which we need to clean up now, 936 00:56:37,880 --> 00:56:40,239 Speaker 3: you know, here's here's the here's a flip side of that. 937 00:56:40,920 --> 00:56:42,600 Speaker 3: And I'll tell you a little bit about the guy 938 00:56:42,640 --> 00:56:47,000 Speaker 3: that that bought the one point three million dollars new 939 00:56:47,040 --> 00:56:52,640 Speaker 3: Mexico tag two weeks ago. One point three So. 940 00:56:52,960 --> 00:56:56,040 Speaker 1: A new Mexico sheep tag went for one point three right? 941 00:56:57,000 --> 00:57:02,440 Speaker 1: It is that a new record, absolute new record? Is 942 00:57:02,480 --> 00:57:03,880 Speaker 1: he gunning for a specific sheep? 943 00:57:04,080 --> 00:57:05,880 Speaker 3: Yeah, he's gunning person. But I'm going to tell you 944 00:57:05,920 --> 00:57:10,879 Speaker 3: a story about him. But what he said, so holy yeah, 945 00:57:11,080 --> 00:57:12,040 Speaker 3: one point three million. 946 00:57:12,120 --> 00:57:19,200 Speaker 1: Now at that point getting suspiciously philanthropic, so yeah, you know. 947 00:57:19,400 --> 00:57:25,040 Speaker 3: Almost, So there there was a period of time where 948 00:57:25,520 --> 00:57:29,240 Speaker 3: you know, everyone was chasing very very large stone sheep. 949 00:57:31,200 --> 00:57:33,720 Speaker 3: So the BC minister's license, which is kind of a 950 00:57:33,920 --> 00:57:36,919 Speaker 3: unique license because and there is a raffle tag too, 951 00:57:36,960 --> 00:57:40,000 Speaker 3: but there's one, there's a there's a minister's license on auction. 952 00:57:40,400 --> 00:57:44,480 Speaker 3: There's a minister's license on raffle. The minister's license in 953 00:57:44,560 --> 00:57:48,040 Speaker 3: BC you can hunt they've got four you know, subspecies 954 00:57:48,040 --> 00:57:50,600 Speaker 3: if you will, but you know three species. They've got 955 00:57:50,600 --> 00:57:53,520 Speaker 3: doll sheep, stone sheep, bighorn sheep, but a bighorn sheep. 956 00:57:53,520 --> 00:57:55,919 Speaker 3: They've got California big horn and Rocky Mountain big onorn. 957 00:57:56,040 --> 00:57:57,640 Speaker 2: Oh, I got confused, I'm sorry. 958 00:57:57,720 --> 00:58:00,800 Speaker 3: And so there's there's a there's a subspe species of 959 00:58:01,040 --> 00:58:04,400 Speaker 3: bighorn sheep called California big horn. Yeah, but who has 960 00:58:04,440 --> 00:58:07,840 Speaker 3: all of them? British Columbia they have those. The only 961 00:58:07,880 --> 00:58:10,640 Speaker 3: thing they don't have is desert. But they have four 962 00:58:12,120 --> 00:58:16,280 Speaker 3: four wild cheap species dolls stone dolls, and it's a 963 00:58:16,520 --> 00:58:21,280 Speaker 3: teeny little area up in the far northwest corner adjacent 964 00:58:21,320 --> 00:58:24,120 Speaker 3: to Alaska, lower part of Alaska. So they have dolls. 965 00:58:24,520 --> 00:58:27,880 Speaker 3: They are you know, the location for stone sheep other 966 00:58:27,920 --> 00:58:32,400 Speaker 3: than fanning up in the Yukon. They have California big horn. 967 00:58:32,440 --> 00:58:33,200 Speaker 3: That's primarily. 968 00:58:33,240 --> 00:58:34,680 Speaker 2: That's what I was unaware of, is that like on 969 00:58:34,680 --> 00:58:36,720 Speaker 2: thet on the west coast in the it's. 970 00:58:36,520 --> 00:58:40,000 Speaker 3: In the Fraser River Valley and then and then bighorn 971 00:58:40,080 --> 00:58:44,919 Speaker 3: sheep around Fernie and the like. So you can buy 972 00:58:44,960 --> 00:58:47,480 Speaker 3: that tag and you can choose, you can choose which 973 00:58:47,520 --> 00:58:51,080 Speaker 3: sheep you want to hunt. So you know, years past 974 00:58:51,080 --> 00:58:53,120 Speaker 3: it used to be the chase a big horn. Now 975 00:58:53,160 --> 00:58:55,320 Speaker 3: it was hey, we're gonna you're gonna be able to 976 00:58:55,440 --> 00:59:03,040 Speaker 3: hunt early and late for stone sheep, and stone sheep 977 00:59:03,240 --> 00:59:08,200 Speaker 3: was the hot item. Uh that that permit went for 978 00:59:08,560 --> 00:59:14,160 Speaker 3: three hundred some one thousand dollars. There was a sheep that, 979 00:59:14,360 --> 00:59:16,200 Speaker 3: you know, a couple of big ones that people were 980 00:59:16,560 --> 00:59:19,080 Speaker 3: you know, knew that we're around. This guy knew that 981 00:59:19,120 --> 00:59:24,800 Speaker 3: they were around. They're all killed in an avalanche. Seriously, 982 00:59:25,160 --> 00:59:29,040 Speaker 3: seal ave. So now let's go back to the really 983 00:59:29,120 --> 00:59:31,800 Speaker 3: go back to the Yeah, it's like a pile of 984 00:59:31,920 --> 00:59:35,080 Speaker 3: four sheep killing an avalanche, all four of the big ones. 985 00:59:35,080 --> 00:59:39,600 Speaker 3: It's like, hey, that ram you are chasing no longer. Congratulations, 986 00:59:39,800 --> 00:59:43,080 Speaker 3: that's philanthropic petition. 987 00:59:42,760 --> 00:59:47,640 Speaker 2: For a refund. You gotta be kidding, no refund? 988 00:59:47,920 --> 00:59:48,800 Speaker 3: Can I? Can I? 989 00:59:48,800 --> 00:59:51,280 Speaker 1: I gotta explain something to folks. I'm trying to keep 990 00:59:51,280 --> 00:59:54,920 Speaker 1: this real one on one. Uh, just to point out 991 00:59:54,960 --> 00:59:57,920 Speaker 1: something obvious. The reason three hundred and sixty five days 992 00:59:57,920 --> 01:00:00,720 Speaker 1: a year is enticing for sheep because they don't shed 993 01:00:00,760 --> 01:00:03,760 Speaker 1: their antlers, which pointed out so like if you're if 994 01:00:03,760 --> 01:00:05,800 Speaker 1: you're hunting Elk. Let's say you're buying a governor's tag 995 01:00:05,800 --> 01:00:09,360 Speaker 1: for Elk, like that. Elk's gonna get maximum size and 996 01:00:09,400 --> 01:00:13,200 Speaker 1: get hard antlered in September, late August, early September, and 997 01:00:13,280 --> 01:00:16,880 Speaker 1: he's gonna drop his antlers down the road in March. Right, 998 01:00:17,320 --> 01:00:20,320 Speaker 1: So if you had three hundred and sixty five days, 999 01:00:20,320 --> 01:00:22,880 Speaker 1: and maybe you do, it doesn't really matter because you're 1000 01:00:22,960 --> 01:00:27,040 Speaker 1: chasing a how many months is that September, October, November, December, January, forebr. 1001 01:00:27,280 --> 01:00:29,840 Speaker 2: You got half half the year. He's gonna have that. 1002 01:00:29,920 --> 01:00:33,720 Speaker 4: And any antlered species could just bust them up. 1003 01:00:33,840 --> 01:00:34,400 Speaker 3: That's yep. 1004 01:00:34,480 --> 01:00:36,360 Speaker 1: And he could also snap them, yeah, and and and 1005 01:00:36,480 --> 01:00:38,280 Speaker 1: a lot of those big bowls, especially in the in 1006 01:00:38,320 --> 01:00:41,400 Speaker 1: the desert southwest, do snap them off. So like, but 1007 01:00:41,480 --> 01:00:44,000 Speaker 1: a sheep, I mean, by the time he's the kind 1008 01:00:44,000 --> 01:00:47,080 Speaker 1: of sheep we're talking about, this sheep is nine years old, 1009 01:00:47,120 --> 01:00:48,360 Speaker 1: ten years old, eleven years old. 1010 01:00:48,400 --> 01:00:50,600 Speaker 2: But he's got him. He's carrying his racky around. 1011 01:00:50,680 --> 01:00:53,000 Speaker 1: You shoot him in April, he's got the same he's got, 1012 01:00:53,600 --> 01:00:56,040 Speaker 1: that's right, the same attributes as you shoot him in November. 1013 01:00:56,080 --> 01:00:58,680 Speaker 3: Their horns not antlers, so you know they they wear 1014 01:00:58,720 --> 01:01:02,640 Speaker 3: their life on their head. So let's let's now go 1015 01:01:02,720 --> 01:01:05,640 Speaker 3: to the gentleman that bought you know, which is now 1016 01:01:06,160 --> 01:01:10,640 Speaker 3: the record for any any permit one point three million. 1017 01:01:12,600 --> 01:01:16,960 Speaker 3: I was visiting with him last week, thanking him. You know, wow, incredible, 1018 01:01:17,960 --> 01:01:19,560 Speaker 3: you know, how the heck did that happen? I mean, 1019 01:01:19,600 --> 01:01:22,160 Speaker 3: three hundred thousands a lot of money? One point three 1020 01:01:22,400 --> 01:01:27,960 Speaker 3: is I like what you said, that's pretty close. Uh 1021 01:01:28,320 --> 01:01:30,800 Speaker 3: you want to wing? You want to wing on that hospital? 1022 01:01:33,000 --> 01:01:34,280 Speaker 3: And he says, you know, I knew it was going 1023 01:01:34,360 --> 01:01:38,240 Speaker 3: to go over a million dollars. I wanted to go 1024 01:01:38,320 --> 01:01:41,600 Speaker 3: over a million dollars. I'm happy. You know, season opens 1025 01:01:41,720 --> 01:01:45,360 Speaker 3: August first for me. I sure, hope a mountain lion 1026 01:01:45,440 --> 01:01:51,880 Speaker 3: doesn't get it, but it is what it is. That's philanthropic. 1027 01:01:52,240 --> 01:01:54,439 Speaker 3: That is a guy, and he's done very very well 1028 01:01:54,480 --> 01:01:59,040 Speaker 3: obviously in life. And crazy enough. I think there were 1029 01:01:59,080 --> 01:02:00,800 Speaker 3: three bidders in it at one point two. 1030 01:02:02,240 --> 01:02:05,360 Speaker 2: So at one point those guys like enough is enough? 1031 01:02:06,640 --> 01:02:09,280 Speaker 3: Just amazing. I mean you can imagine the energy in 1032 01:02:09,320 --> 01:02:10,480 Speaker 3: the room when you see that. 1033 01:02:10,600 --> 01:02:13,439 Speaker 2: Tell me about the sheep? Yeah, like, what's the sheep? 1034 01:02:13,480 --> 01:02:13,720 Speaker 3: They know? 1035 01:02:14,000 --> 01:02:16,560 Speaker 4: Why so much of this year and not after that 1036 01:02:16,600 --> 01:02:17,520 Speaker 4: sheep last year? 1037 01:02:17,680 --> 01:02:20,280 Speaker 3: There's a you know, two hundred points is kind of 1038 01:02:20,280 --> 01:02:25,200 Speaker 3: the holy Rail. And so there's there is a you know, 1039 01:02:25,280 --> 01:02:28,920 Speaker 3: there is the thought that the largest big horn in 1040 01:02:29,080 --> 01:02:32,400 Speaker 3: North America is in New Mexico is alive right now. 1041 01:02:32,440 --> 01:02:34,560 Speaker 2: So there you go, and he's got a price on 1042 01:02:34,600 --> 01:02:35,160 Speaker 2: his head. 1043 01:02:35,080 --> 01:02:39,440 Speaker 3: And so well, let me is that unseemly Well, I guess. 1044 01:02:39,680 --> 01:02:42,040 Speaker 3: But you know, Steve, you pointed out that, hey, if 1045 01:02:42,040 --> 01:02:45,360 Speaker 3: the if the goal is to raise the most money 1046 01:02:45,400 --> 01:02:49,080 Speaker 3: for the resource, well this is how we're going to 1047 01:02:49,120 --> 01:02:51,080 Speaker 3: do it. Now, we just need to make sure that 1048 01:02:52,240 --> 01:02:56,080 Speaker 3: it's ethical, you know the view. And Brodie, I think 1049 01:02:56,080 --> 01:02:59,320 Speaker 3: you touched on that. If there's ten guys you know, 1050 01:02:59,400 --> 01:03:01,840 Speaker 3: out on the out and they're you know, there's camping 1051 01:03:01,920 --> 01:03:05,520 Speaker 3: on the sheep, it doesn't smell right and it doesn't 1052 01:03:05,560 --> 01:03:07,720 Speaker 3: look right. But it's not illegal. No, it is. 1053 01:03:07,800 --> 01:03:10,040 Speaker 1: No, you're never gonna get there. You're never going to 1054 01:03:10,240 --> 01:03:16,880 Speaker 1: enforce you're never going to create a you're never going 1055 01:03:16,960 --> 01:03:19,960 Speaker 1: to create a secondary set of laws that someone's going 1056 01:03:20,040 --> 01:03:21,040 Speaker 1: to have to apply to. 1057 01:03:21,360 --> 01:03:21,640 Speaker 3: Now. 1058 01:03:21,960 --> 01:03:24,320 Speaker 1: Let me give you for instance, me and Brody go 1059 01:03:24,360 --> 01:03:28,920 Speaker 1: home with our little kids. Okay, some of them at 1060 01:03:28,960 --> 01:03:32,560 Speaker 1: a certain age that they can shoot before they're like 1061 01:03:33,240 --> 01:03:39,600 Speaker 1: terribly helpful, right, They don't know even when we leave 1062 01:03:39,680 --> 01:03:41,880 Speaker 1: home a ten year old, they're not even really aware 1063 01:03:41,880 --> 01:03:47,120 Speaker 1: of what direction you're Okay, So we're out with our kids. 1064 01:03:47,640 --> 01:03:50,320 Speaker 1: So and so sees a buck, he tells another growing up, 1065 01:03:50,360 --> 01:03:53,640 Speaker 1: he sees the buck. You know, we tell the kid. 1066 01:03:53,720 --> 01:03:56,080 Speaker 1: You know, you drag the kid out of their sleeping bag. 1067 01:03:56,800 --> 01:04:00,320 Speaker 1: We gotta start walking. They don't really know, right, and 1068 01:04:00,400 --> 01:04:03,400 Speaker 1: eventually you're like there he is, get them right, Okay, 1069 01:04:04,400 --> 01:04:09,640 Speaker 1: So would someone goal that's unethical? That kid, That child 1070 01:04:09,960 --> 01:04:14,760 Speaker 1: didn't glass, they didn't scout, they didn't glass that buck 1071 01:04:14,840 --> 01:04:18,400 Speaker 1: up right, right, So you're never gonna get there where 1072 01:04:18,440 --> 01:04:22,560 Speaker 1: you're gonna come in and be that operating within the 1073 01:04:22,600 --> 01:04:25,600 Speaker 1: confines of the law, we would expect it to be different. 1074 01:04:25,720 --> 01:04:29,160 Speaker 1: Meaning if I apply for twenty five years and I 1075 01:04:29,240 --> 01:04:32,040 Speaker 1: draw a big horn tag and all my bodies at 1076 01:04:32,040 --> 01:04:34,160 Speaker 1: work and I could see this happening, Oh yeah, all 1077 01:04:34,160 --> 01:04:34,960 Speaker 1: my bodies. 1078 01:04:34,680 --> 01:04:36,880 Speaker 2: At work are like, oh man, what a riot? 1079 01:04:37,320 --> 01:04:40,880 Speaker 1: And three of us go up in jet boats, right, 1080 01:04:41,440 --> 01:04:43,640 Speaker 1: and we pour the coals to it glass and for sheep. 1081 01:04:44,000 --> 01:04:45,960 Speaker 1: And one of my buddies comes into camp. He's like, 1082 01:04:46,040 --> 01:04:46,960 Speaker 1: we found a giant. 1083 01:04:48,840 --> 01:04:50,960 Speaker 4: You're not gonna be like I want to find it myself. 1084 01:04:51,160 --> 01:04:53,560 Speaker 1: I'm not gonna wind up being like raked over the 1085 01:04:53,560 --> 01:04:54,600 Speaker 1: coals about it. 1086 01:04:54,600 --> 01:04:56,080 Speaker 2: It would be like, no, they went up. 1087 01:04:56,440 --> 01:04:59,160 Speaker 1: But there's a thing that happens where it's like there's 1088 01:04:59,200 --> 01:05:01,560 Speaker 1: already a finance, it's a bitterness, and then on top 1089 01:05:01,600 --> 01:05:05,560 Speaker 1: of that, there's a. 1090 01:05:04,240 --> 01:05:05,440 Speaker 2: Added bunch of. 1091 01:05:08,160 --> 01:05:12,960 Speaker 1: What seems to be like shortcut taking, right, and it 1092 01:05:13,160 --> 01:05:16,640 Speaker 1: tarnishes the thing. But but in people's eyes. But then 1093 01:05:16,720 --> 01:05:18,920 Speaker 1: in all fairness, like, are you really going to make 1094 01:05:18,960 --> 01:05:20,000 Speaker 1: a separate set of. 1095 01:05:20,000 --> 01:05:21,200 Speaker 3: Game laws. 1096 01:05:22,560 --> 01:05:26,080 Speaker 1: For an auction tag holder that you wouldn't make for 1097 01:05:26,080 --> 01:05:28,200 Speaker 1: a guy that bought a but that that bought an 1098 01:05:28,200 --> 01:05:29,360 Speaker 1: elk hunt from an outfitter? 1099 01:05:30,000 --> 01:05:32,120 Speaker 4: Well, they do in some cases, they do make a 1100 01:05:32,160 --> 01:05:32,800 Speaker 4: separate set. 1101 01:05:33,400 --> 01:05:36,560 Speaker 3: Well, yeah, they extend, they extend the season like but 1102 01:05:36,600 --> 01:05:38,840 Speaker 3: you know, and and and that does it just it 1103 01:05:38,880 --> 01:05:42,560 Speaker 3: gets back to this, you know, what is the public 1104 01:05:42,600 --> 01:05:47,120 Speaker 3: perception and what's what's you know, what is the real grind? 1105 01:05:47,240 --> 01:05:50,880 Speaker 3: And again, I you know there's organizations that are well 1106 01:05:50,920 --> 01:05:52,760 Speaker 3: we just have to go to you know, raffle tags 1107 01:05:52,800 --> 01:05:57,320 Speaker 3: because that's that's more equitable. Well, so then the person 1108 01:05:57,400 --> 01:06:00,240 Speaker 3: wins the raffle tag. Is there also a team team 1109 01:06:00,320 --> 01:06:06,080 Speaker 3: of guides that go in and what's you know, what's 1110 01:06:06,320 --> 01:06:10,160 Speaker 3: what's the difference there? You know, I you know, and 1111 01:06:10,240 --> 01:06:14,600 Speaker 3: there there are crazy things that have happened. I've I've 1112 01:06:14,640 --> 01:06:21,600 Speaker 3: heard of the raffle tag winners outfitter calling the conservation 1113 01:06:21,800 --> 01:06:25,880 Speaker 3: permit outfitter saying, I'll tell you what, if your guy 1114 01:06:25,960 --> 01:06:30,400 Speaker 3: writes my guy a check for X amount of dollars, 1115 01:06:31,120 --> 01:06:34,320 Speaker 3: we'll let you go after that guy and we'll go 1116 01:06:34,400 --> 01:06:39,720 Speaker 3: after a second. That to me stinks and that's almost 1117 01:06:39,800 --> 01:06:45,720 Speaker 3: extortion and and so you know, and it's and this 1118 01:06:45,760 --> 01:06:47,880 Speaker 3: gets back to the social thing too. You know, any 1119 01:06:48,000 --> 01:06:55,240 Speaker 3: time that you know, a super high prices put on 1120 01:06:55,360 --> 01:07:00,200 Speaker 3: a resource, there's going to be challenges to that know, 1121 01:07:00,600 --> 01:07:04,040 Speaker 3: and we we know it. So you know, where the 1122 01:07:04,040 --> 01:07:07,560 Speaker 3: Wild she Foundation looks at this is, Okay, we're raising 1123 01:07:07,640 --> 01:07:11,160 Speaker 3: the most money for a resources resource that's got challenge, 1124 01:07:11,320 --> 01:07:15,000 Speaker 3: you know, whether it's disease in the Lower forty eight, 1125 01:07:15,320 --> 01:07:20,240 Speaker 3: whether it's drought in the Southwest, whether it's super heavy 1126 01:07:20,360 --> 01:07:26,200 Speaker 3: wet snowfalls up in Alaska. In the Yukon and dall 1127 01:07:26,240 --> 01:07:29,320 Speaker 3: sheep are starving and in some mountain rangings we've lost 1128 01:07:29,480 --> 01:07:32,760 Speaker 3: forty to fifty to sixty percent of the population. How 1129 01:07:32,760 --> 01:07:35,640 Speaker 3: do we bring them back? You know, we're always looking 1130 01:07:35,680 --> 01:07:37,960 Speaker 3: for Okay, how can we raise the most money to 1131 01:07:38,040 --> 01:07:40,200 Speaker 3: do it? How can we put that money on the mountain? 1132 01:07:40,240 --> 01:07:43,160 Speaker 3: How you know, how are we going to fund you know, 1133 01:07:43,240 --> 01:07:49,240 Speaker 3: disease research? So we see it, we do it. You know, 1134 01:07:49,280 --> 01:07:52,920 Speaker 3: a while she foundations directed since you know that first 1135 01:07:53,560 --> 01:07:57,360 Speaker 3: governor's tag, you know ed Hirschler's Wyoming Governor's tag. It's 1136 01:07:57,400 --> 01:08:00,880 Speaker 3: sold for twenty three thousand dollars in nineteen eighty we 1137 01:08:00,920 --> 01:08:05,600 Speaker 3: have put about eighty nine million dollars back into agencies 1138 01:08:05,600 --> 01:08:09,520 Speaker 3: for wild cheap conservation just on the sale of conservation permits. 1139 01:08:09,560 --> 01:08:13,640 Speaker 3: So it's very very effective. What I think we should 1140 01:08:13,640 --> 01:08:17,720 Speaker 3: be instead of us arguing on the well, you know 1141 01:08:17,800 --> 01:08:20,400 Speaker 3: that guy or gal gets a privilege that I don't, 1142 01:08:22,200 --> 01:08:24,360 Speaker 3: I would like us to do a better job of 1143 01:08:24,400 --> 01:08:26,720 Speaker 3: making sure that the dollars that are directed to the 1144 01:08:26,800 --> 01:08:31,800 Speaker 3: agencies are going where they should. And Steve, I think 1145 01:08:31,840 --> 01:08:34,120 Speaker 3: you asked that question early on and we didn't touch 1146 01:08:34,160 --> 01:08:38,080 Speaker 3: on it because there's some agencies that do an exceptionally 1147 01:08:38,120 --> 01:08:41,040 Speaker 3: good job and are very transparent of where that money goes. 1148 01:08:41,360 --> 01:08:44,960 Speaker 3: And there's some that aren't so. Wyoming Wyoming has the 1149 01:08:45,000 --> 01:08:48,479 Speaker 3: Wyoming Governor's Big Game License Coalition. So all the you know, 1150 01:08:48,520 --> 01:08:51,600 Speaker 3: the five cheap tags, you know, any of the the 1151 01:08:51,720 --> 01:08:55,799 Speaker 3: elk tags, any of the moose tags go into this pool, 1152 01:08:56,120 --> 01:09:00,719 Speaker 3: but they're separated out by species and then and then holders. 1153 01:09:00,880 --> 01:09:03,400 Speaker 3: You know, wyl mean Wild Chief Foundation has a seat 1154 01:09:03,479 --> 01:09:06,280 Speaker 3: on that. Rocky Mountain Elk Foundation has a seat on that. 1155 01:09:06,640 --> 01:09:09,200 Speaker 3: A mule Deer Foundation has a seat on that. That 1156 01:09:09,200 --> 01:09:11,800 Speaker 3: that coalition, the pronghorned guys, you know, all the little 1157 01:09:11,840 --> 01:09:16,080 Speaker 3: critter groups have have a seat. They then evaluate projects 1158 01:09:16,080 --> 01:09:19,320 Speaker 3: that are that are brought before the Big Game License 1159 01:09:19,479 --> 01:09:22,240 Speaker 3: Coalition to say, hey, we want to fund a sage 1160 01:09:22,280 --> 01:09:26,479 Speaker 3: brush habitat project that's going to benefit mule deer certainly 1161 01:09:26,640 --> 01:09:32,040 Speaker 3: certainly sage ins uh, maybe less so on bighorn sheep. Well, 1162 01:09:32,080 --> 01:09:34,559 Speaker 3: sometimes that those stakeholder groups will go, you know, we 1163 01:09:34,600 --> 01:09:37,960 Speaker 3: got plenty of money on the bighorn sheep pool. Let's 1164 01:09:37,960 --> 01:09:40,559 Speaker 3: pull a little bit out and collectively we agree we're 1165 01:09:40,600 --> 01:09:43,760 Speaker 3: gonna fun mule deer Conservation British Columbia does the same 1166 01:09:43,800 --> 01:09:47,799 Speaker 3: thing with their Habitat Conservation Trust. You know, the monies 1167 01:09:47,840 --> 01:09:50,679 Speaker 3: that we raise for the BC Ministry go into this pool. 1168 01:09:51,160 --> 01:09:54,400 Speaker 3: There are a group of stakeholders. Wow, Wild Chief Foundation 1169 01:09:54,560 --> 01:09:57,519 Speaker 3: has a seat, but we we have a representative that's 1170 01:09:57,560 --> 01:10:02,840 Speaker 3: from BC and they make decisions on where those moneys 1171 01:10:02,840 --> 01:10:06,800 Speaker 3: are spent. Oh that's transparent, very transparent. Nevada another one 1172 01:10:06,800 --> 01:10:08,880 Speaker 3: that does it really really well. Some of them not 1173 01:10:09,080 --> 01:10:12,160 Speaker 3: so well and with all the challenges and can you say, 1174 01:10:12,400 --> 01:10:13,960 Speaker 3: can you give an example of a bad one or 1175 01:10:14,000 --> 01:10:15,720 Speaker 3: is that? Is that not? Probably not a good thing 1176 01:10:15,760 --> 01:10:18,479 Speaker 3: for me to say because we partner with all So 1177 01:10:18,560 --> 01:10:20,679 Speaker 3: let me just talk about the good ones. But there's 1178 01:10:20,680 --> 01:10:25,000 Speaker 3: some that could do better and the mission we can Yeah, 1179 01:10:25,040 --> 01:10:28,479 Speaker 3: we can bleep it maybe, but you know the fact 1180 01:10:28,520 --> 01:10:31,960 Speaker 3: of the matter is, you know again I can show 1181 01:10:32,000 --> 01:10:35,040 Speaker 3: your Wild Chief Foundation spends our dollars. I mean, we 1182 01:10:35,080 --> 01:10:39,640 Speaker 3: do these conservation impact summaries. You know, we're we're absolutely 1183 01:10:39,720 --> 01:10:44,040 Speaker 3: transparent agencies not so so that's something that I think, 1184 01:10:44,320 --> 01:10:47,679 Speaker 3: you know, we as NGOs, whether it's Wild Chief Foundation, 1185 01:10:47,800 --> 01:10:51,519 Speaker 3: whether it's Mule Deer, whether it's ELK, whether it's you know, 1186 01:10:51,840 --> 01:10:55,400 Speaker 3: any of the organizations that are selling these conservation permits 1187 01:10:55,439 --> 01:10:58,920 Speaker 3: and driving the money back to the agency. We need 1188 01:10:59,000 --> 01:11:02,439 Speaker 3: to do a better job of holding our agencies accountable. Going, Okay, 1189 01:11:03,280 --> 01:11:07,400 Speaker 3: where is the money, where is it going? And is 1190 01:11:07,439 --> 01:11:10,400 Speaker 3: it going to the resource that it should? 1191 01:11:11,920 --> 01:11:14,280 Speaker 4: Yeah, I think that's important. Like something you said that 1192 01:11:14,680 --> 01:11:17,800 Speaker 4: there's not enough sheep to pay for themselves. I think 1193 01:11:17,840 --> 01:11:20,200 Speaker 4: a lot of people don't think about it that way, right, 1194 01:11:20,320 --> 01:11:23,840 Speaker 4: but it makes total sense. And you like a state 1195 01:11:23,920 --> 01:11:27,120 Speaker 4: like Montana or Colorado, you talk about elk like those 1196 01:11:27,120 --> 01:11:31,000 Speaker 4: things pay for themselves and more, Right, Brody. 1197 01:11:30,760 --> 01:11:33,280 Speaker 3: I wrote a paper back in the eighties before I 1198 01:11:33,360 --> 01:11:35,920 Speaker 3: was in the nonprofit and I was you know, it 1199 01:11:35,960 --> 01:11:39,559 Speaker 3: was kind of the economics of Honting and at the time, 1200 01:11:39,600 --> 01:11:41,400 Speaker 3: and I don't know what it is now, but at 1201 01:11:41,439 --> 01:11:43,680 Speaker 3: the time I was looking at Colorado. I used to 1202 01:11:44,240 --> 01:11:46,800 Speaker 3: lived in California, drive out to Colorado to hunt elk 1203 01:11:47,240 --> 01:11:52,160 Speaker 3: and at the time, I think non resident Colorado elk 1204 01:11:52,240 --> 01:11:58,120 Speaker 3: tags funded like eighty percent of Colorado fishing game back then. 1205 01:11:58,160 --> 01:12:00,479 Speaker 3: Now it's Colorado Parks and Wildlife, you know, I mean 1206 01:12:00,560 --> 01:12:04,640 Speaker 3: ELP paid the way and as we all know, you know, 1207 01:12:04,720 --> 01:12:09,400 Speaker 3: the non resident tags, you know pay the way primarily 1208 01:12:09,479 --> 01:12:12,400 Speaker 3: you know Montana. You know, what was it sixty nine 1209 01:12:12,520 --> 01:12:15,360 Speaker 3: thousand dollars, you know, sixty nine thousand dollars comes from 1210 01:12:15,439 --> 01:12:19,160 Speaker 3: resident big worn sheep, one hundred and twenty two from 1211 01:12:19,240 --> 01:12:21,000 Speaker 3: non resident, So for. 1212 01:12:21,000 --> 01:12:23,000 Speaker 2: A much smaller amount of tags, Yeah. 1213 01:12:22,920 --> 01:12:25,920 Speaker 3: Almost double. I mean, you know it's it's we pay 1214 01:12:25,960 --> 01:12:27,880 Speaker 3: one hundred and what one hundred and twenty five bucks 1215 01:12:27,920 --> 01:12:29,720 Speaker 3: for a for a sheep tag, you know, we can 1216 01:12:29,800 --> 01:12:32,360 Speaker 3: we can buy an unlimited, you know, so we we 1217 01:12:32,600 --> 01:12:34,720 Speaker 3: we can have that tag in our pocket. But if 1218 01:12:34,720 --> 01:12:36,719 Speaker 3: you draw in the limited one hundred twenty five bucks, 1219 01:12:36,760 --> 01:12:39,920 Speaker 3: it's seventeen hundred and fifty for a non res you know. 1220 01:12:40,000 --> 01:12:44,559 Speaker 3: So that gets back to this this social thing and 1221 01:12:44,600 --> 01:12:46,679 Speaker 3: Steve I, you know, I love it when you talk 1222 01:12:46,760 --> 01:12:50,880 Speaker 3: about it because you know, look at look at what's 1223 01:12:50,920 --> 01:12:54,440 Speaker 3: happened to our country. You know, we've we've become so polarized. 1224 01:12:54,880 --> 01:12:59,800 Speaker 3: You know, we identify with pretty asinine things. You know, 1225 01:13:00,040 --> 01:13:06,200 Speaker 3: we allow the media to fester that polarization even within 1226 01:13:06,280 --> 01:13:09,519 Speaker 3: our own community were you know, we we identify but 1227 01:13:09,800 --> 01:13:13,000 Speaker 3: by what rifle we use, and we criticize others that don't. 1228 01:13:13,600 --> 01:13:17,639 Speaker 3: You know, we we identify what freaking camo we use, 1229 01:13:17,760 --> 01:13:19,920 Speaker 3: and we create communities that if you're not a part 1230 01:13:19,960 --> 01:13:21,680 Speaker 3: of it and you don't wear my cameo, you're a 1231 01:13:21,720 --> 01:13:27,400 Speaker 3: bad guy, boots, you know whatever. We're so basic and 1232 01:13:27,800 --> 01:13:28,200 Speaker 3: it's like. 1233 01:13:28,479 --> 01:13:35,000 Speaker 5: Had but we have like a name for the guys 1234 01:13:35,080 --> 01:13:37,240 Speaker 5: who have six five. 1235 01:13:38,160 --> 01:13:45,320 Speaker 3: Oh yeah, the six need more, you know, and it's 1236 01:13:45,360 --> 01:13:48,280 Speaker 3: a great caliber. But I mean it's you know, we've 1237 01:13:48,320 --> 01:13:52,120 Speaker 3: taken the around the campfire arguing on whether the thirty 1238 01:13:52,400 --> 01:13:55,040 Speaker 3: six is better than the two seventy to this level. 1239 01:13:55,120 --> 01:13:59,280 Speaker 3: It's just freaking asinine now. And so you know, we 1240 01:13:59,439 --> 01:14:01,600 Speaker 3: fostered and now we're doing you know, we do the 1241 01:14:01,600 --> 01:14:04,800 Speaker 3: same thing on the funding, and I guess, you know, 1242 01:14:04,840 --> 01:14:06,879 Speaker 3: I would just hope that we could change the narrative, 1243 01:14:07,320 --> 01:14:09,839 Speaker 3: you know, and and start, you know, let's deal with facts. 1244 01:14:10,280 --> 01:14:14,920 Speaker 3: You know, Okay, the facts are Auction tags bring in 1245 01:14:14,960 --> 01:14:19,600 Speaker 3: more money than raffle tags at a far more efficient 1246 01:14:19,720 --> 01:14:22,160 Speaker 3: way of I mean, for Wild Chief Foundation is going 1247 01:14:22,280 --> 01:14:25,120 Speaker 3: to raffle off an Arizona big Horn Sheep tag. We 1248 01:14:25,240 --> 01:14:27,840 Speaker 3: get zero dollars for doing but we're gonna do it. 1249 01:14:28,080 --> 01:14:30,040 Speaker 3: We're gonna we're going to pay all that money to 1250 01:14:30,040 --> 01:14:32,880 Speaker 3: do it. We're gonna raise one hundred and twenty five 1251 01:14:32,960 --> 01:14:36,000 Speaker 3: hundred and fifty thousand dollars directed to Arizona Game and fish. Well, 1252 01:14:36,080 --> 01:14:38,760 Speaker 3: we we we held an auction. Now you know, yeah, 1253 01:14:38,800 --> 01:14:41,719 Speaker 3: that's expensive for us, but we're you know, we're four 1254 01:14:41,840 --> 01:14:44,640 Speaker 3: nights of auction and we raised five hundred thousand, so 1255 01:14:44,680 --> 01:14:47,880 Speaker 3: we know that it's the most cost effective is an 1256 01:14:47,920 --> 01:14:51,519 Speaker 3: auction tag. But we still get caught up in this 1257 01:14:51,720 --> 01:14:54,719 Speaker 3: social narrative. So what I want to really dive into, 1258 01:14:54,880 --> 01:14:59,080 Speaker 3: and that is that how how do we get beyond it? 1259 01:14:59,080 --> 01:15:01,639 Speaker 3: How do we get be on criticizing that guy because 1260 01:15:01,680 --> 01:15:04,479 Speaker 3: he wears Camo or we don't like his brand, or 1261 01:15:04,600 --> 01:15:07,240 Speaker 3: that gal because she's shooting a six or five creed 1262 01:15:07,280 --> 01:15:10,840 Speaker 3: More and we don't like that caliber. Uh to, why 1263 01:15:10,840 --> 01:15:13,559 Speaker 3: don't we just focus again on that ram lamb or 1264 01:15:14,000 --> 01:15:16,720 Speaker 3: you on a ridge line and go what's best for wildlife? 1265 01:15:19,400 --> 01:15:23,000 Speaker 4: What would the big horn sheet landscape in North America 1266 01:15:23,040 --> 01:15:25,000 Speaker 4: look like without this money? 1267 01:15:25,120 --> 01:15:27,320 Speaker 3: Nailed it? Mike Draw? 1268 01:15:27,479 --> 01:15:30,320 Speaker 2: Can Mike Draw like? 1269 01:15:30,479 --> 01:15:36,200 Speaker 3: We wouldn't have him? Right? Eighty three percent of agency 1270 01:15:36,360 --> 01:15:40,120 Speaker 3: funding right now in the US comes from the What 1271 01:15:40,439 --> 01:15:44,360 Speaker 3: happens when eighty three comes from an auction tag or 1272 01:15:44,479 --> 01:15:48,240 Speaker 3: raffle tag? Most of that? What happens when eighty three 1273 01:15:48,320 --> 01:15:51,760 Speaker 3: percent of that funding goes away? Where's it going? 1274 01:15:51,840 --> 01:15:56,479 Speaker 5: To come from question, do we have over time, let's say, 1275 01:15:56,520 --> 01:16:04,040 Speaker 5: the past ten years, from states that have sheep the 1276 01:16:04,240 --> 01:16:09,719 Speaker 5: amount of money, let's say, collectively across these states from 1277 01:16:10,200 --> 01:16:13,800 Speaker 5: licenses both in state and out of state, and if 1278 01:16:13,840 --> 01:16:17,200 Speaker 5: that has gone up over the past ten years or 1279 01:16:17,240 --> 01:16:27,240 Speaker 5: gone down as a sign of general hunter commitment to conservation. 1280 01:16:26,720 --> 01:16:32,599 Speaker 3: Of absolutely on Now are you are you saying total? 1281 01:16:32,720 --> 01:16:36,480 Speaker 3: You know, because we all know that revenue is generally 1282 01:16:36,520 --> 01:16:40,880 Speaker 3: going down because generally hunting numbers are going down. Yes, 1283 01:16:41,080 --> 01:16:44,559 Speaker 3: we saw during the pandemic a bump up. Yes we 1284 01:16:44,640 --> 01:16:47,839 Speaker 3: see a you know, the largest percentage of new hunters 1285 01:16:47,920 --> 01:16:51,240 Speaker 3: or women is you know, is that a significant percentage 1286 01:16:51,240 --> 01:16:53,720 Speaker 3: of the current You might be able to argue it, 1287 01:16:53,760 --> 01:17:01,960 Speaker 3: but it's significant. But here's the sad fact, and this 1288 01:17:02,040 --> 01:17:06,880 Speaker 3: gets back to impact. I can show you a nice 1289 01:17:07,040 --> 01:17:13,280 Speaker 3: linear upward trend on dollars going into wild sheep conservation. 1290 01:17:14,240 --> 01:17:19,960 Speaker 5: Collectively, cross okay, collectively, But the percentage of that that is. 1291 01:17:20,720 --> 01:17:24,439 Speaker 3: Oh, auction tex right, ten percent increase over the last 1292 01:17:24,479 --> 01:17:28,120 Speaker 3: ten years. It was seventy three percent in twenty fourteen, 1293 01:17:28,439 --> 01:17:31,240 Speaker 3: eighty three percent in the US. In so a ten 1294 01:17:31,280 --> 01:17:34,799 Speaker 3: percent increase in auction tag revenues going. 1295 01:17:34,600 --> 01:17:39,000 Speaker 6: To the agency and then and licenses, licenses not so 1296 01:17:39,200 --> 01:17:41,280 Speaker 6: and that you know that, you know that you could 1297 01:17:41,280 --> 01:17:44,040 Speaker 6: get US Fish and Wildlife Service data and you know, 1298 01:17:44,080 --> 01:17:47,000 Speaker 6: again there's been slight increases and then it kind of 1299 01:17:47,200 --> 01:17:48,599 Speaker 6: plateaus and then dropped. 1300 01:17:51,720 --> 01:17:56,800 Speaker 3: My concern is there's a linear growth in revenue going 1301 01:17:56,880 --> 01:18:03,320 Speaker 3: to wild sheep conservation sadly over the last say five 1302 01:18:03,880 --> 01:18:08,680 Speaker 3: years or so because of huge die offs in Alaska 1303 01:18:08,720 --> 01:18:14,240 Speaker 3: and the Yukon some diofs during disease, you know, from 1304 01:18:14,479 --> 01:18:18,240 Speaker 3: in Texas. I mean Texas had eighteen hundred desert big 1305 01:18:18,280 --> 01:18:21,800 Speaker 3: horn sheep five six years ago a little over five 1306 01:18:21,880 --> 01:18:27,320 Speaker 3: hundred now, all because of disease from odd AD. You know, 1307 01:18:27,360 --> 01:18:31,799 Speaker 3: there's forty thousand plus odd AD in the state free ranging. 1308 01:18:32,000 --> 01:18:35,200 Speaker 3: I'm not even talking about behind wire and we've gone 1309 01:18:35,200 --> 01:18:39,040 Speaker 3: from eighteen hundred desert big horns to less than six hundred. 1310 01:18:39,240 --> 01:18:43,120 Speaker 3: That scares the shit out of me. And so you know, 1311 01:18:43,200 --> 01:18:48,160 Speaker 3: I the point there is it gets back to impact 1312 01:18:48,200 --> 01:18:49,720 Speaker 3: and what are we doing with it? And are we 1313 01:18:49,800 --> 01:18:54,280 Speaker 3: holding the agencies accountable we can drive this money to them. 1314 01:18:54,800 --> 01:18:58,160 Speaker 3: Are we getting the bang for our buck? And that's 1315 01:18:58,160 --> 01:18:59,920 Speaker 3: for all of us to work on to ensure that 1316 01:19:00,080 --> 01:19:04,360 Speaker 3: we are and and money isn't everything. I mean, it's 1317 01:19:04,360 --> 01:19:07,400 Speaker 3: certainly a driver, but we have to make sure that 1318 01:19:07,479 --> 01:19:11,360 Speaker 3: we're doing as much as we possibly can effectively with 1319 01:19:11,400 --> 01:19:14,280 Speaker 3: the money. If we know what to do, how are 1320 01:19:14,320 --> 01:19:19,120 Speaker 3: we gonna deal with snowload in March April and Alaska? 1321 01:19:20,800 --> 01:19:24,000 Speaker 3: I don't know, you know that, I don't know you know. 1322 01:19:24,120 --> 01:19:26,800 Speaker 3: I mean it gets back to even some crazy ideas. 1323 01:19:27,000 --> 01:19:31,320 Speaker 3: We grow desert big worn sheep. We've done it in Texas. 1324 01:19:31,520 --> 01:19:35,200 Speaker 3: We've done it in Arizona. You just by putting water water, 1325 01:19:35,360 --> 01:19:39,599 Speaker 3: but we've actually, we actually intensively managed them in Texas 1326 01:19:39,640 --> 01:19:43,200 Speaker 3: to bring them from zero to eighteen hundred to two thousand. 1327 01:19:43,360 --> 01:19:44,679 Speaker 3: We did the same thing in Arizona. 1328 01:19:44,760 --> 01:19:47,560 Speaker 2: I mue like with with release, with using release. 1329 01:19:47,320 --> 01:19:51,679 Speaker 3: Sits captive bread and release done in Mexico. Literally grown them. 1330 01:19:51,760 --> 01:19:55,880 Speaker 3: We've grown them. Sonora is about fifteen thousand desert bighorn 1331 01:19:55,920 --> 01:19:58,320 Speaker 3: sheep in the state of Sonora alone, fifty percent of 1332 01:19:58,479 --> 01:20:01,840 Speaker 3: or behind wire. We have an initiative to say, hey, look, 1333 01:20:01,960 --> 01:20:06,040 Speaker 3: you know, let's use market forces to incentivize you to 1334 01:20:06,280 --> 01:20:08,800 Speaker 3: release them, and not a put in take scenario, but 1335 01:20:08,880 --> 01:20:13,240 Speaker 3: release them and create free ranging desert, big worn, cheap 1336 01:20:13,240 --> 01:20:16,599 Speaker 3: and suitable habitat. And we've got we've got great examples 1337 01:20:16,640 --> 01:20:18,400 Speaker 3: of people doing it. They're doing the same thing in 1338 01:20:18,439 --> 01:20:21,000 Speaker 3: cool Wheela, they're doing it in Sierra Leone, they're doing 1339 01:20:21,040 --> 01:20:25,639 Speaker 3: it in Chihuahua. So we can do it with desert, 1340 01:20:25,640 --> 01:20:28,720 Speaker 3: big worn sheep, with some caveats or some there's some 1341 01:20:28,840 --> 01:20:30,840 Speaker 3: challenges to it. You know, this is a you know, 1342 01:20:30,920 --> 01:20:34,760 Speaker 3: this isn't you know, raising whitetails in Michigan. But it 1343 01:20:34,800 --> 01:20:36,880 Speaker 3: can be done. Is that something that we could do 1344 01:20:37,600 --> 01:20:42,479 Speaker 3: in the northern climes. I don't know, but you know, 1345 01:20:42,560 --> 01:20:45,160 Speaker 3: you have a forty to fifty percent drop in doll sheep. 1346 01:20:45,920 --> 01:20:49,000 Speaker 3: You've got probably a ten to fifteen to twenty percent 1347 01:20:49,040 --> 01:20:52,960 Speaker 3: drop in stone sheep populations for a whole variety of reasons. 1348 01:20:52,960 --> 01:20:56,599 Speaker 3: It's not over harvest, you know, it's more environmental factors 1349 01:20:56,640 --> 01:20:59,519 Speaker 3: or disease. What are we going to do? I'll tell 1350 01:20:59,520 --> 01:20:59,960 Speaker 3: you what we need. 1351 01:21:00,040 --> 01:21:02,600 Speaker 1: And this is a whole other episode. 1352 01:21:02,680 --> 01:21:05,800 Speaker 2: I think if someone came in and proposed in Alaska 1353 01:21:05,920 --> 01:21:07,600 Speaker 2: doing like captive breeding. 1354 01:21:08,920 --> 01:21:12,160 Speaker 1: Juice to juice doll shoot numbers, I think that that 1355 01:21:12,200 --> 01:21:15,320 Speaker 1: would be like, uh, you know, you'd have a bigger 1356 01:21:15,320 --> 01:21:20,960 Speaker 1: controversy on your conservation tags and your question like, how 1357 01:21:21,000 --> 01:21:23,439 Speaker 1: do you find peace with it? There's a thing with 1358 01:21:23,600 --> 01:21:26,240 Speaker 1: There's a thing in rhetoric that I've just that there's 1359 01:21:26,280 --> 01:21:28,560 Speaker 1: an observation of mind when it comes to debate and 1360 01:21:28,640 --> 01:21:33,360 Speaker 1: rhetoric that I've pointed out a handful of times around 1361 01:21:33,439 --> 01:21:37,720 Speaker 1: conversations having to do with with the impacts of a 1362 01:21:38,120 --> 01:21:42,679 Speaker 1: of a border wall, okay, between US and Mexico, and 1363 01:21:43,120 --> 01:21:46,800 Speaker 1: when there's talk of building an impenetrable barrier between the 1364 01:21:46,880 --> 01:21:49,800 Speaker 1: US and Mexico to to try to get a grip 1365 01:21:49,840 --> 01:21:53,080 Speaker 1: on illegal immigration. There's this thing you bring up that 1366 01:21:53,160 --> 01:21:57,440 Speaker 1: one would bring up. You'd say that would be detrimental, 1367 01:21:58,400 --> 01:22:02,200 Speaker 1: that would be detrimental to wildlife. Move so jaguars desert 1368 01:22:02,240 --> 01:22:05,559 Speaker 1: big horns, right, Okay, that's like that's a thing to consider. 1369 01:22:05,920 --> 01:22:09,880 Speaker 1: Now someone can bring up, Hey, let's consider this. 1370 01:22:10,840 --> 01:22:11,800 Speaker 3: And people that. 1371 01:22:11,800 --> 01:22:18,160 Speaker 1: Are like vehemently supportive of a wall would be angry 1372 01:22:18,240 --> 01:22:21,080 Speaker 1: that you brought it up, right, They'd be like, well, 1373 01:22:21,160 --> 01:22:24,320 Speaker 1: you haven't lost your job, okay to an illegal immigrant. 1374 01:22:24,640 --> 01:22:27,519 Speaker 1: So they're angry that you're laying out all the facts 1375 01:22:28,560 --> 01:22:32,920 Speaker 1: for consideration. But in your own family, if you're proposing like, hey, 1376 01:22:33,000 --> 01:22:36,760 Speaker 1: should we go on vacation to spring. In that conversation, 1377 01:22:36,920 --> 01:22:39,960 Speaker 1: someone can say, well, you realize if we go on 1378 01:22:40,040 --> 01:22:43,639 Speaker 1: vacation this spring, that's going to mean that we are 1379 01:22:43,720 --> 01:22:47,439 Speaker 1: going to forego painting our house because it costs money. Now, 1380 01:22:47,479 --> 01:22:53,120 Speaker 1: the person that brings that up isn't attacked. It's like 1381 01:22:53,400 --> 01:22:57,280 Speaker 1: you're all airing the pros and cons, right, and then 1382 01:22:57,320 --> 01:22:59,800 Speaker 1: you come to an agreement. All the pros and cons 1383 01:22:59,800 --> 01:23:03,479 Speaker 1: can considered. We come to an agreement even though it's 1384 01:23:03,479 --> 01:23:06,920 Speaker 1: going to be detrimental wildlife movement, it is net positive 1385 01:23:07,240 --> 01:23:10,000 Speaker 1: to make an impenetrable barrier between the US and Mexico. 1386 01:23:10,080 --> 01:23:13,400 Speaker 1: Let's say, or even though we'll fore go painting our house, 1387 01:23:13,479 --> 01:23:16,760 Speaker 1: we're determining it's a net positive that we go on 1388 01:23:16,800 --> 01:23:20,559 Speaker 1: to family vacation. I think ultimately answer might be arrived 1389 01:23:20,560 --> 01:23:24,480 Speaker 1: at similarly around auction permits, it'd be like it's imperfect, 1390 01:23:25,360 --> 01:23:31,759 Speaker 1: it's imperfect. One could argue that by auctioning off a tag, 1391 01:23:32,320 --> 01:23:36,360 Speaker 1: we're removing a we're hypothetically removing a sheet from the pool. 1392 01:23:38,160 --> 01:23:39,280 Speaker 3: That's not perfect. 1393 01:23:40,400 --> 01:23:44,599 Speaker 1: The individual might use some hunting methods that aren't available 1394 01:23:44,600 --> 01:23:48,400 Speaker 1: to everybody else. That's imperfect, but net net, all things 1395 01:23:48,439 --> 01:23:51,719 Speaker 1: weighed in, the money is worth it. Like, that's probably 1396 01:23:51,720 --> 01:23:54,080 Speaker 1: the best you're going to do. Like, I don't think 1397 01:23:54,080 --> 01:23:56,080 Speaker 1: you're going to get it to where some guy reads 1398 01:23:56,600 --> 01:23:59,200 Speaker 1: online that someone bought a tag for one point three million. 1399 01:23:59,200 --> 01:24:00,680 Speaker 1: I don't think you're going to get it where one 1400 01:24:00,760 --> 01:24:04,479 Speaker 1: hun or one percent of the hunters are. You're never 1401 01:24:04,520 --> 01:24:07,320 Speaker 1: gonna get there, Right, it's gonna be that. Like the 1402 01:24:07,439 --> 01:24:14,240 Speaker 1: general sentiment is, eh, hate them rich guys, but uh, 1403 01:24:14,800 --> 01:24:16,719 Speaker 1: but that's a shitload of money for big horns. 1404 01:24:16,760 --> 01:24:18,840 Speaker 3: Yeah, and and in the. 1405 01:24:18,760 --> 01:24:20,759 Speaker 2: Long run, it's probably gonna mean more tags. 1406 01:24:20,880 --> 01:24:25,160 Speaker 3: Right, there's one, there's one more net positive impact. And Steve, 1407 01:24:25,160 --> 01:24:28,280 Speaker 3: you're right, you're you're absolutely spot on. There is another 1408 01:24:28,360 --> 01:24:30,439 Speaker 3: little thing that we have in this country that's not 1409 01:24:30,600 --> 01:24:34,320 Speaker 3: in others, which is the Pittman Robinson Act. And these 1410 01:24:34,479 --> 01:24:39,400 Speaker 3: these tag purchases are non federal dollars, so they're they're 1411 01:24:39,560 --> 01:24:42,680 Speaker 3: subject and eligible for a three to one match with 1412 01:24:42,880 --> 01:24:46,120 Speaker 3: p and R Act. So you know, we can we 1413 01:24:46,200 --> 01:24:50,040 Speaker 3: can draw you know, we can send one point three million. 1414 01:24:50,080 --> 01:24:52,000 Speaker 3: I you know we're gonna we're gonna get ten percent 1415 01:24:52,000 --> 01:24:53,599 Speaker 3: of US one hundred and thirty. You know, one point 1416 01:24:53,640 --> 01:24:56,360 Speaker 3: three minus one hundred thirty thousand dollars. We send that 1417 01:24:56,479 --> 01:24:59,920 Speaker 3: to New Mexico Game and Fish they can apply for 1418 01:25:00,160 --> 01:25:03,200 Speaker 3: three to one match from P and R act dollars 1419 01:25:03,240 --> 01:25:07,519 Speaker 3: for wildlife frustration and turned that into you know, a 1420 01:25:07,680 --> 01:25:15,200 Speaker 3: five million dollar bump. So, yeah, it is imperfect. It works, 1421 01:25:15,200 --> 01:25:19,080 Speaker 3: and I guess until we find something that works better, 1422 01:25:20,479 --> 01:25:24,080 Speaker 3: well why don't we live with what does work? And 1423 01:25:24,120 --> 01:25:26,880 Speaker 3: it has worked really really well from nineteen eighty and 1424 01:25:26,960 --> 01:25:32,599 Speaker 3: the dollars are there, and argue over what calibers better 1425 01:25:32,680 --> 01:25:33,720 Speaker 3: or what camos do you wear? 1426 01:25:33,800 --> 01:25:36,960 Speaker 2: That's a little bit more, you know productive. 1427 01:25:37,280 --> 01:25:39,880 Speaker 1: I think one of the one of the final points 1428 01:25:39,920 --> 01:25:43,200 Speaker 1: we had arrived at when we had this conversation. 1429 01:25:44,520 --> 01:25:46,400 Speaker 3: Was a sense of. 1430 01:25:47,920 --> 01:25:51,000 Speaker 1: You know, a sort of a sense of hope or 1431 01:25:51,040 --> 01:25:53,680 Speaker 1: a call to action that people would. 1432 01:25:57,920 --> 01:25:59,400 Speaker 2: Open their checkbooks. 1433 01:25:59,000 --> 01:26:02,759 Speaker 1: Up, open their card balances up to support raffle tags, 1434 01:26:02,800 --> 01:26:04,920 Speaker 1: and that you would arrive at a point where these 1435 01:26:05,040 --> 01:26:09,320 Speaker 1: raffle tags were netting equal to or more than auction tags. 1436 01:26:09,520 --> 01:26:12,040 Speaker 1: And I think you kind of touched on this early. 1437 01:26:12,040 --> 01:26:15,639 Speaker 1: But if we you don't think we're there not yet. 1438 01:26:15,840 --> 01:26:18,280 Speaker 3: But you know, we during our during the seminary, there 1439 01:26:18,400 --> 01:26:20,439 Speaker 3: was a guy adamant on, Well you know are you 1440 01:26:20,520 --> 01:26:22,559 Speaker 3: are you working on it? Well, yeah, we are. We 1441 01:26:22,600 --> 01:26:24,600 Speaker 3: looked at we looked at our raffles that we do 1442 01:26:24,640 --> 01:26:29,080 Speaker 3: at the convention, and you know, we were selling forty 1443 01:26:29,120 --> 01:26:34,919 Speaker 3: dollars tickets. Okay, we could not physically sell enough tickets 1444 01:26:34,960 --> 01:26:38,479 Speaker 3: in three day of expo to cover the costs and really, 1445 01:26:38,560 --> 01:26:41,120 Speaker 3: you know, really really make a profit if you will, 1446 01:26:41,240 --> 01:26:44,640 Speaker 3: which our profit goes right back into sheep conservation on 1447 01:26:44,760 --> 01:26:48,479 Speaker 3: doing it that way. So we you know, we we 1448 01:26:48,520 --> 01:26:51,040 Speaker 3: played the capitalists again. We go, okay, well we're going 1449 01:26:51,120 --> 01:26:52,960 Speaker 3: to sell these not for forty dollars, We're going to 1450 01:26:53,000 --> 01:26:55,400 Speaker 3: sell a thousand tickets at two hundred dollars, and for 1451 01:26:55,439 --> 01:26:58,160 Speaker 3: the stone Sheep, we're going to sell five hundred tickets 1452 01:26:58,160 --> 01:27:00,479 Speaker 3: at five hundred dollars. Is that too much? I think 1453 01:27:00,479 --> 01:27:02,960 Speaker 3: we figured out that it was. But you know, we 1454 01:27:03,040 --> 01:27:06,519 Speaker 3: increased our raffle take. So what I pointed out in 1455 01:27:06,560 --> 01:27:07,920 Speaker 3: this in this seminar. 1456 01:27:07,640 --> 01:27:10,800 Speaker 2: That helped the raffle take big time, big time, that 1457 01:27:10,800 --> 01:27:13,640 Speaker 2: that's five bucks a pop. Isn't getting it? 1458 01:27:14,000 --> 01:27:17,320 Speaker 3: Can't you can't process, you can't process enough. And you know, 1459 01:27:17,560 --> 01:27:21,600 Speaker 3: forty dollars stuff, We couldn't. We couldn't sell enough physically 1460 01:27:21,680 --> 01:27:24,960 Speaker 3: in three days to make it really profitable. You know 1461 01:27:25,000 --> 01:27:26,719 Speaker 3: what you want to do is you want a keystoneer. 1462 01:27:26,800 --> 01:27:28,280 Speaker 3: You want to double your money on each one of 1463 01:27:28,320 --> 01:27:32,519 Speaker 3: these things. Well, you know, very very rare these days 1464 01:27:32,520 --> 01:27:35,720 Speaker 3: for anyone to donate. There's a few, but donate a 1465 01:27:35,920 --> 01:27:38,559 Speaker 3: sheep hunt. You know you've got stone sheep hunts now 1466 01:27:38,560 --> 01:27:40,920 Speaker 3: selling for one hundred thousand dollars, big worn sheep hunts 1467 01:27:40,960 --> 01:27:44,720 Speaker 3: selling for one hundred and ten doll sheep used to 1468 01:27:44,800 --> 01:27:48,479 Speaker 3: be you're talking about, yeah, forty five thousand dollars. So 1469 01:27:49,160 --> 01:27:51,240 Speaker 3: you know, on a doll sheep hunt, we need to sell. 1470 01:27:51,439 --> 01:27:53,040 Speaker 3: We need to make you know, we need to sell 1471 01:27:53,120 --> 01:27:55,120 Speaker 3: at least one hundred thousand dollars worth of tickets to 1472 01:27:55,200 --> 01:27:58,439 Speaker 3: double our money a stone sheep if we're buying it 1473 01:27:58,520 --> 01:28:01,360 Speaker 3: at face value, we got to sell two hundred thousand dollars. 1474 01:28:01,360 --> 01:28:05,320 Speaker 3: So you know, we went to a different way. As 1475 01:28:05,360 --> 01:28:08,720 Speaker 3: I said in our seminar, if we can figure out 1476 01:28:08,720 --> 01:28:11,599 Speaker 3: a way to do it again, let's be intellectually honest. 1477 01:28:11,680 --> 01:28:14,320 Speaker 3: If our goal is to raise the most money, if 1478 01:28:14,360 --> 01:28:17,280 Speaker 3: we can find a way to raise the most money 1479 01:28:17,360 --> 01:28:20,920 Speaker 3: with a raffle. We'll do it because the objective is 1480 01:28:20,960 --> 01:28:23,640 Speaker 3: to raise the most money for the resource and for 1481 01:28:23,680 --> 01:28:25,200 Speaker 3: the habitat. Can you can you. 1482 01:28:27,320 --> 01:28:29,559 Speaker 1: Humored this question for ment? Yeah, the one that just 1483 01:28:29,560 --> 01:28:32,960 Speaker 1: went for one point three million? Right, walk me through? 1484 01:28:33,000 --> 01:28:35,360 Speaker 1: What would what would have happened? Walk me through if 1485 01:28:35,400 --> 01:28:37,360 Speaker 1: you had done a raffle in your mind the best 1486 01:28:37,400 --> 01:28:39,160 Speaker 1: way to do a raffle from your learnings? 1487 01:28:39,400 --> 01:28:44,800 Speaker 3: What would have what would that sheep tag have generated? Well, 1488 01:28:44,800 --> 01:28:47,280 Speaker 3: that was a big horn. So we we sold a 1489 01:28:47,320 --> 01:28:54,759 Speaker 3: big horn in Alberta. We bought the tag for eighty 1490 01:28:55,240 --> 01:28:58,160 Speaker 3: eighty thousand eight. It's a hunt, it's not a tag. 1491 01:28:58,200 --> 01:29:00,120 Speaker 3: I mean we actually bought an outfit at hunt for 1492 01:29:00,160 --> 01:29:02,880 Speaker 3: eighty thousand dollars and our objective was to sell two 1493 01:29:02,960 --> 01:29:07,160 Speaker 3: hundred thousand dollars worth of tickets and net one hundred 1494 01:29:07,200 --> 01:29:11,519 Speaker 3: and twenty. Okay, so you know, if we pay the 1495 01:29:11,560 --> 01:29:14,760 Speaker 3: outfit or eighty, we net one hundred and twenty. You know, 1496 01:29:14,880 --> 01:29:17,920 Speaker 3: theoretically we could direct one hundred and twenty thousand dollars 1497 01:29:17,920 --> 01:29:26,000 Speaker 3: into Big or Chief Conservation. We're you know, we're going 1498 01:29:26,080 --> 01:29:29,559 Speaker 3: to direct one point three million dollars. But what if 1499 01:29:29,600 --> 01:29:32,160 Speaker 3: you take but just take it I mean, I can't 1500 01:29:32,160 --> 01:29:34,320 Speaker 3: figure out how to get a one point three million 1501 01:29:34,360 --> 01:29:37,320 Speaker 3: out of a raffle unless it's take a nationwide lotto. 1502 01:29:37,479 --> 01:29:40,400 Speaker 1: But take a stab that, not the hunt, not the 1503 01:29:40,400 --> 01:29:43,280 Speaker 1: guided hunt, but take a stab that had there been 1504 01:29:43,320 --> 01:29:46,280 Speaker 1: a raffle. Just in you're just the best year because 1505 01:29:46,280 --> 01:29:50,600 Speaker 1: you're probably more qualified to answer this imperfect question than 1506 01:29:50,600 --> 01:29:55,080 Speaker 1: anybody else on the planet. Had that been a raffle, 1507 01:29:55,720 --> 01:29:58,280 Speaker 1: that tag, that New Mexico tag, had that been a raffle, 1508 01:29:58,320 --> 01:29:59,240 Speaker 1: what would it have brought. 1509 01:29:59,000 --> 01:30:02,200 Speaker 3: In to two hundred and fifty thousand things? 1510 01:30:02,240 --> 01:30:08,479 Speaker 1: So yeah, yikes, yeah, really yeah, yeah, because you've done 1511 01:30:08,479 --> 01:30:10,120 Speaker 1: a bunch of raffles. 1512 01:30:09,479 --> 01:30:12,040 Speaker 3: We do a lot of raffles. But you know, I 1513 01:30:12,040 --> 01:30:15,600 Speaker 3: mean we could probably two hundred you know, maybe you know, 1514 01:30:15,680 --> 01:30:20,000 Speaker 3: if if you if, if you could get people, Hey, 1515 01:30:20,120 --> 01:30:23,120 Speaker 3: this is the biggest sheep in North America. This is 1516 01:30:23,160 --> 01:30:25,000 Speaker 3: what it's going to be. How long are you going 1517 01:30:25,040 --> 01:30:27,439 Speaker 3: to run the raffle? You know? I mean my hip 1518 01:30:27,439 --> 01:30:29,519 Speaker 3: pocket is two undred fifty three hundred thousand. Could we 1519 01:30:29,560 --> 01:30:30,360 Speaker 3: get a half million? 1520 01:30:30,400 --> 01:30:33,880 Speaker 1: Maybe that becomes a little obscure though, Yeah, how many 1521 01:30:33,920 --> 01:30:36,640 Speaker 1: notifying raffle buyers about this? 1522 01:30:37,880 --> 01:30:39,880 Speaker 3: That's the biggest biggest sheep in the world. 1523 01:30:40,560 --> 01:30:43,160 Speaker 1: Yeah, and so, yeah, I can see you're getting a 1524 01:30:43,200 --> 01:30:46,280 Speaker 1: real call from the Washington Gambling Commission a. 1525 01:30:46,040 --> 01:30:51,720 Speaker 3: Point and oh, by the way, Washington residents, Hawaii residents, 1526 01:30:53,360 --> 01:30:55,120 Speaker 3: you know, if we were going to draw this is 1527 01:30:55,120 --> 01:30:56,680 Speaker 3: a funny one in Nevada, If we were going to 1528 01:30:56,800 --> 01:31:02,160 Speaker 3: draw the hunt in Nevada, Nevada residents aren't eligible to 1529 01:31:02,200 --> 01:31:04,360 Speaker 3: do it online. They have to buy it there. So 1530 01:31:04,400 --> 01:31:07,439 Speaker 3: I mean the laws or Pennsylvania's got crazy laws. I mean, 1531 01:31:07,479 --> 01:31:10,599 Speaker 3: everyone's got interesting laws. We run our raffles. When we 1532 01:31:10,640 --> 01:31:13,559 Speaker 3: do a raffle, we run it out of Wyoming. We 1533 01:31:13,600 --> 01:31:15,920 Speaker 3: have an office in Wyoming. We run our raffles out 1534 01:31:15,920 --> 01:31:18,160 Speaker 3: of Wyoming because it's a little bit more generous on 1535 01:31:18,280 --> 01:31:22,160 Speaker 3: the our little liberal I guess you could say on 1536 01:31:22,200 --> 01:31:25,240 Speaker 3: the on the raffle laws. But we you know, we 1537 01:31:25,280 --> 01:31:28,760 Speaker 3: have run a foul on Washington and got called out 1538 01:31:28,760 --> 01:31:31,479 Speaker 3: on it. We've run a foul even in Montana, where 1539 01:31:31,520 --> 01:31:33,880 Speaker 3: one of my employees was trying to do the right thing. 1540 01:31:34,040 --> 01:31:37,320 Speaker 3: She thought by well, shoot, you know, I'll just if 1541 01:31:37,320 --> 01:31:38,840 Speaker 3: you want me to run your card right now, I'll 1542 01:31:38,840 --> 01:31:41,000 Speaker 3: just run it right now. She didn't know it was 1543 01:31:41,040 --> 01:31:44,000 Speaker 3: a credit card, not a debit card. I then got 1544 01:31:44,000 --> 01:31:46,080 Speaker 3: a phone call saying, hey, one of your employees. I'm 1545 01:31:46,080 --> 01:31:48,960 Speaker 3: with the Montana Department of Revenue. One of your employees 1546 01:31:49,000 --> 01:31:53,840 Speaker 3: just did an illegal raffle purchase for me. And I went, 1547 01:31:54,880 --> 01:31:58,479 Speaker 3: you know, now, do the right thing. Get burned. But 1548 01:31:59,080 --> 01:32:01,720 Speaker 3: you know, those are the things we're up against. But 1549 01:32:03,520 --> 01:32:08,559 Speaker 3: there we go. Yeah, it's good talking about this. Yeah, 1550 01:32:08,640 --> 01:32:11,280 Speaker 3: this is I you know, I appreciate it. I'm honored 1551 01:32:11,320 --> 01:32:18,080 Speaker 3: to be on the program. I really appreciate, you know, 1552 01:32:18,280 --> 01:32:23,759 Speaker 3: listening looking at the facts. What we have to really 1553 01:32:23,800 --> 01:32:27,439 Speaker 3: look at is is the why. You know, why is it? 1554 01:32:27,880 --> 01:32:31,320 Speaker 3: Why is it? Deep down inside we're envious of some 1555 01:32:31,560 --> 01:32:35,000 Speaker 3: you know, something that somebody else can buy that we can't. 1556 01:32:35,520 --> 01:32:38,960 Speaker 3: And that's really what the nut cutting comes down to, 1557 01:32:39,880 --> 01:32:43,439 Speaker 3: you know, it's just this, Uh that's human nature. So 1558 01:32:43,439 --> 01:32:46,080 Speaker 3: all we can do is provide the facts, do our best, 1559 01:32:46,200 --> 01:32:50,479 Speaker 3: focus on the resource, and be open to ideas. Come 1560 01:32:50,560 --> 01:32:52,200 Speaker 3: up with a better idea of how to find it. 1561 01:32:52,200 --> 01:32:53,320 Speaker 3: We're all ears. 1562 01:32:55,160 --> 01:32:57,080 Speaker 1: Yeah, no, I can see that if someone if some 1563 01:32:57,280 --> 01:33:00,040 Speaker 1: mathematician came to you and said, uh. 1564 01:33:00,280 --> 01:33:02,440 Speaker 2: Gray, that that tag should have brought. 1565 01:33:02,160 --> 01:33:03,960 Speaker 3: Three million by my formula. 1566 01:33:04,080 --> 01:33:05,040 Speaker 2: You would take. 1567 01:33:06,800 --> 01:33:07,160 Speaker 3: The call. 1568 01:33:09,080 --> 01:33:12,559 Speaker 1: I would all right, I appreciate you coming on, thank you. 1569 01:33:13,360 --> 01:33:19,320 Speaker 1: I appreciate Joe, thank you. People can uh buy a 1570 01:33:19,360 --> 01:33:22,880 Speaker 1: raffle ticket? Perhaps next year you've been reno, you can 1571 01:33:22,960 --> 01:33:23,519 Speaker 1: you can buy? 1572 01:33:23,600 --> 01:33:26,200 Speaker 3: Uh? Will will you have raffles that we're offering online 1573 01:33:26,200 --> 01:33:29,160 Speaker 3: all the time, so are our chapters. We try to 1574 01:33:29,320 --> 01:33:32,680 Speaker 3: bay obviously all the laws. But uh, you know, if 1575 01:33:32,720 --> 01:33:34,800 Speaker 3: you look at if you look at cheap hunting right 1576 01:33:34,840 --> 01:33:37,639 Speaker 3: now and how expensive it is, raffles are the best 1577 01:33:37,680 --> 01:33:41,600 Speaker 3: deal going from a from a number standpoint, from an 1578 01:33:41,600 --> 01:33:45,280 Speaker 3: odd standpoint, so you know, get in all the raffles 1579 01:33:45,280 --> 01:33:49,439 Speaker 3: you possibly can, you know, and then also treat it 1580 01:33:49,520 --> 01:33:52,680 Speaker 3: like a portfolio. Put some money away every month to 1581 01:33:52,760 --> 01:33:54,080 Speaker 3: buy that cheap hunt someday. 1582 01:33:55,560 --> 01:33:57,439 Speaker 1: You know, I forgot to mention you're the CEO of 1583 01:33:57,479 --> 01:34:00,559 Speaker 1: Wild Cheap Foundation. Mentioned that, and then and tell people 1584 01:34:00,600 --> 01:34:03,400 Speaker 1: real quick if they want to get checked out on Wildsheep. 1585 01:34:02,920 --> 01:34:05,639 Speaker 3: What's the best approach? Yeah, come, We're we're based here 1586 01:34:05,680 --> 01:34:11,040 Speaker 3: in Bozeman, World Headquarters. But go to Wildheapfoundation dot org, 1587 01:34:11,120 --> 01:34:14,639 Speaker 3: Wildcheapfoundation dot org and you can see what we do. 1588 01:34:15,720 --> 01:34:19,440 Speaker 3: Last year, we directed eleven point one dollars to programs 1589 01:34:19,479 --> 01:34:23,479 Speaker 3: benefiting wild sheep. Pretty impressive for an organization with only 1590 01:34:23,560 --> 01:34:26,360 Speaker 3: eleven thousand members. So is that right? Yeah, you know, 1591 01:34:26,400 --> 01:34:28,800 Speaker 3: we're I like to say that, you know, we we 1592 01:34:28,880 --> 01:34:32,160 Speaker 3: may have a relatively small footprint, but we cast one 1593 01:34:32,400 --> 01:34:34,960 Speaker 3: hell of a long conservation shadow and we're proud of it. 1594 01:34:35,560 --> 01:34:38,200 Speaker 3: Great man, Thanks again, Thanks a lot to David. Appreciate it.