1 00:00:01,280 --> 00:00:05,120 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,120 --> 00:00:08,920 Speaker 1: to the fundamentals of better deer hunting, presented by first Light, 3 00:00:09,240 --> 00:00:13,600 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:14,120 --> 00:00:18,680 Speaker 1: First Light Go Farther, Stay Longer, and now your host 5 00:00:19,040 --> 00:00:19,919 Speaker 1: Tony Peterson. 6 00:00:20,320 --> 00:00:22,960 Speaker 2: Hey everyone, welcome to the Wire to Hunt Foundation's podcast. 7 00:00:23,040 --> 00:00:26,000 Speaker 2: I'm your host Tony Peterson, and today's episode is about 8 00:00:26,000 --> 00:00:29,800 Speaker 2: how complex game management really is and why it matters 9 00:00:29,840 --> 00:00:37,360 Speaker 2: to you on probably some levels you might not even realize. 10 00:00:40,720 --> 00:00:42,760 Speaker 2: There are a couple of things people like to bitch 11 00:00:42,800 --> 00:00:47,000 Speaker 2: about and you know, simultaneously bond over. I'm a Minnesotan, 12 00:00:47,320 --> 00:00:50,440 Speaker 2: so for us it's the weather, but you know, for 13 00:00:50,520 --> 00:00:54,520 Speaker 2: probably everyone else everywhere else's the weather. Politics are another 14 00:00:54,600 --> 00:00:58,560 Speaker 2: issue that transcends locality and either bonds us or drives 15 00:00:58,640 --> 00:01:02,240 Speaker 2: us to irrationally despise each other. Money issues are a 16 00:01:02,280 --> 00:01:07,160 Speaker 2: big one for obvious reasons. Then there's game management, or 17 00:01:07,200 --> 00:01:10,920 Speaker 2: more specifically, whatever branch of government is responsible for managing 18 00:01:11,000 --> 00:01:14,600 Speaker 2: wild game and hunting opportunities in your state. It's like 19 00:01:14,680 --> 00:01:17,920 Speaker 2: a national pastime to complain about the DNR, the game 20 00:01:17,959 --> 00:01:20,880 Speaker 2: and fish or the division of wildlife. Sometimes those complaints 21 00:01:20,920 --> 00:01:24,560 Speaker 2: are totally justified, other times they aren't. That's what this 22 00:01:24,680 --> 00:01:27,800 Speaker 2: episode is partially about, but it's also is just kind 23 00:01:27,800 --> 00:01:31,560 Speaker 2: of about understanding how to work with whatever parameters those 24 00:01:31,640 --> 00:01:39,120 Speaker 2: agencies set in front of you. There is a lake 25 00:01:39,240 --> 00:01:42,000 Speaker 2: located about an hour and some change north of me 26 00:01:42,360 --> 00:01:45,440 Speaker 2: that is called Malas. It's pretty well known. You might 27 00:01:45,440 --> 00:01:49,160 Speaker 2: have even heard of it yourself. In French, Malacs means 28 00:01:49,360 --> 00:01:52,240 Speaker 2: thousand lakes, although I guess I don't know why they 29 00:01:52,440 --> 00:01:54,680 Speaker 2: call it that. I also know that one of my 30 00:01:54,680 --> 00:01:58,720 Speaker 2: wife's older relatives calls French people cheese eating surrender monkeys, 31 00:01:58,920 --> 00:02:02,120 Speaker 2: which is pretty offensive but also speaks to opinions he 32 00:02:02,200 --> 00:02:04,480 Speaker 2: seemed to develop as a young man in the military. 33 00:02:05,280 --> 00:02:10,119 Speaker 2: Malax in Ojibwe means grand lake, which makes more sense 34 00:02:10,160 --> 00:02:14,360 Speaker 2: than the French meeting. The maximum depth of Malax is 35 00:02:14,440 --> 00:02:17,520 Speaker 2: forty two feet, which is pretty shallow for a lake 36 00:02:17,560 --> 00:02:21,000 Speaker 2: that covers over one hundred and thirty thousand acres. It's 37 00:02:21,040 --> 00:02:25,080 Speaker 2: basically a great, big bowl that is absolutely full of 38 00:02:25,440 --> 00:02:29,440 Speaker 2: big fish. While it's primarily known as a walleye lake, 39 00:02:29,840 --> 00:02:33,920 Speaker 2: the muskies and malaks get huge, so do the small mouth. 40 00:02:34,400 --> 00:02:38,200 Speaker 2: In fact, a few years ago, bass held their angler 41 00:02:38,280 --> 00:02:41,080 Speaker 2: the year tournament there, and the winner, a fella who 42 00:02:41,160 --> 00:02:43,320 Speaker 2: I fished against when we were both in high school 43 00:02:43,560 --> 00:02:45,880 Speaker 2: and who has a mustache that makes Mark Kenyon look 44 00:02:45,919 --> 00:02:48,880 Speaker 2: like a little girl, won it with over seventy five 45 00:02:49,000 --> 00:02:53,239 Speaker 2: pounds for three days. That's a five pound plus average 46 00:02:53,600 --> 00:02:57,080 Speaker 2: for three days on smallmouth in a tournament against the 47 00:02:57,120 --> 00:03:01,280 Speaker 2: best anglers in the world. I fish Malax on a 48 00:03:01,639 --> 00:03:05,720 Speaker 2: not very regular basis, and it's honestly something special every 49 00:03:05,720 --> 00:03:08,360 Speaker 2: time I do. Though I'm not a walleye guy, but 50 00:03:08,480 --> 00:03:11,440 Speaker 2: I usually catch a couple of good ones, like twenty 51 00:03:11,440 --> 00:03:14,160 Speaker 2: five to twenty nine inch type fish every time I 52 00:03:14,240 --> 00:03:18,400 Speaker 2: go there, even though I'm never just targeting walleyes. What's 53 00:03:18,520 --> 00:03:21,600 Speaker 2: crazy about this is that the story of the walleyes 54 00:03:21,639 --> 00:03:24,040 Speaker 2: and malax is one that has caused more than a 55 00:03:24,040 --> 00:03:28,000 Speaker 2: few fist fights in the local bars. Walleye fishermen tend 56 00:03:28,000 --> 00:03:30,960 Speaker 2: to be meat fishermen, because really, why else would you 57 00:03:31,000 --> 00:03:33,280 Speaker 2: choose to fish the most boring way possible for the 58 00:03:33,320 --> 00:03:36,400 Speaker 2: most boring fish out there unless it's best quality was 59 00:03:36,400 --> 00:03:41,080 Speaker 2: found in its filets. When walleye fishermen can't keep their catch, 60 00:03:41,520 --> 00:03:43,920 Speaker 2: it tends to sour the whole experience for them, and 61 00:03:43,960 --> 00:03:47,120 Speaker 2: I get that. I wouldn't be super happy if the 62 00:03:47,200 --> 00:03:49,600 Speaker 2: dn R said, hey, buddy, you can go hunt deer, 63 00:03:49,680 --> 00:03:53,240 Speaker 2: but you can't eat them. Maybe that's a poor example, 64 00:03:53,400 --> 00:03:57,120 Speaker 2: but the walleye situation gets way weirder. Due to the 65 00:03:57,200 --> 00:04:00,440 Speaker 2: lake being subject to treaties with the Native America PRIs, 66 00:04:00,880 --> 00:04:03,680 Speaker 2: the non tribal fishermen get to fish only as a 67 00:04:03,720 --> 00:04:07,280 Speaker 2: privilege that can be taken away by the state. Tribal 68 00:04:07,320 --> 00:04:10,120 Speaker 2: members are granted a right to fish by the federal government. 69 00:04:10,880 --> 00:04:14,000 Speaker 2: In this right, they are allowed to net walleyes, which 70 00:04:14,080 --> 00:04:16,919 Speaker 2: often happens during the spawn when the fish moves shallow 71 00:04:17,400 --> 00:04:21,240 Speaker 2: now to muddy the waters more. There are allocations set 72 00:04:21,240 --> 00:04:24,359 Speaker 2: for the year that take into account netting take and 73 00:04:24,560 --> 00:04:28,159 Speaker 2: traditional angler take. They also factor in the success of 74 00:04:28,200 --> 00:04:31,440 Speaker 2: spawning through various year classes, probably a whole host of 75 00:04:31,480 --> 00:04:35,640 Speaker 2: other things. All of this comes together each year when 76 00:04:35,640 --> 00:04:38,040 Speaker 2: the state decides what the catch and keep limit is 77 00:04:38,040 --> 00:04:42,360 Speaker 2: for non tribal fishermen. This year, for example, it's all 78 00:04:42,480 --> 00:04:45,720 Speaker 2: catch and release until mid August, and then I think 79 00:04:45,720 --> 00:04:49,080 Speaker 2: they can only keep one fish of a certain size. Essentially, 80 00:04:49,160 --> 00:04:52,320 Speaker 2: if you like eating walleyes, you're better off fishing somewhere else. 81 00:04:53,040 --> 00:04:56,000 Speaker 2: As you can imagine, this pisses a lot of anglers off. 82 00:04:56,400 --> 00:04:58,880 Speaker 2: What makes it worse is that the bite has been 83 00:04:59,080 --> 00:05:01,719 Speaker 2: so good the the last couple of years, I mean 84 00:05:02,200 --> 00:05:06,200 Speaker 2: stupid good. So people naturally assume that the lake is 85 00:05:06,360 --> 00:05:10,400 Speaker 2: overfilled with walleyes and they can't understand why they can't 86 00:05:10,520 --> 00:05:13,480 Speaker 2: keep a few for the fish fry. That makes sense, right, 87 00:05:14,240 --> 00:05:16,960 Speaker 2: But then you learn that the forage base for the walleyes, 88 00:05:17,360 --> 00:05:20,839 Speaker 2: the young perch and tulabies, for example, they're not doing 89 00:05:20,880 --> 00:05:25,279 Speaker 2: so hot according to extensive surveys. Now what does this mean, Well, 90 00:05:25,640 --> 00:05:28,720 Speaker 2: the walleyes are hungry and their food options are more 91 00:05:28,760 --> 00:05:31,520 Speaker 2: limited than they have been in the past. This means 92 00:05:31,560 --> 00:05:33,680 Speaker 2: they are more likely to eat whatever we present them 93 00:05:33,680 --> 00:05:36,520 Speaker 2: on the end of our line, because well they have to, 94 00:05:36,800 --> 00:05:40,480 Speaker 2: because they're hungry. So you take a situation that seems simple, 95 00:05:41,320 --> 00:05:44,440 Speaker 2: and you find out they're mitigating factors to change things. 96 00:05:44,960 --> 00:05:47,320 Speaker 2: And then you find out they're mitigating factors to those 97 00:05:47,360 --> 00:05:51,240 Speaker 2: mitigating factors. And if you're honest, game and fish management 98 00:05:51,360 --> 00:05:54,080 Speaker 2: is a constant process of shooting at a moving target. 99 00:05:54,400 --> 00:05:55,760 Speaker 2: So then all of a sudden you kind of realize 100 00:05:55,800 --> 00:06:00,400 Speaker 2: that these things aren't so simple. But we like simple explanations, though, 101 00:06:00,920 --> 00:06:05,120 Speaker 2: especially ones that allow us to rage a bit. Take wolves, 102 00:06:05,160 --> 00:06:08,560 Speaker 2: for another example. It's easy to blame wolves for there 103 00:06:08,560 --> 00:06:10,719 Speaker 2: not being any elk in the mountain range you hunt, 104 00:06:11,320 --> 00:06:14,280 Speaker 2: and you could very well be right about that. It 105 00:06:14,400 --> 00:06:17,440 Speaker 2: might simply be the prevalence of wolves where they weren't 106 00:06:17,480 --> 00:06:20,120 Speaker 2: a little bit ago that has changed your hunting for 107 00:06:20,160 --> 00:06:22,680 Speaker 2: the worse. Now. I hear this a lot when I 108 00:06:22,680 --> 00:06:26,520 Speaker 2: talk to Minnesota and Wisconsin hunters, and listen before I 109 00:06:26,560 --> 00:06:28,960 Speaker 2: say what I'm gonna say, I just want to cover 110 00:06:29,040 --> 00:06:32,159 Speaker 2: my ass. I don't care about wolves a whole lot. 111 00:06:32,440 --> 00:06:35,320 Speaker 2: I wouldn't hunt them myself because I'm not interested. But 112 00:06:35,360 --> 00:06:38,440 Speaker 2: I have zero problems with them being managed in any 113 00:06:38,440 --> 00:06:41,920 Speaker 2: way necessary, including hunting and trapping. And I also think 114 00:06:42,040 --> 00:06:45,799 Speaker 2: reintroducing them to places like Colorado is just kind of dumb. 115 00:06:46,279 --> 00:06:48,320 Speaker 2: We aren't running out of wolves in the Great Lakes 116 00:06:48,320 --> 00:06:52,240 Speaker 2: region or Alaska or Canada. We don't need to put 117 00:06:52,240 --> 00:06:55,560 Speaker 2: them in places just because it's an option to do so. 118 00:06:56,680 --> 00:06:59,000 Speaker 2: I also don't think wolves are the sole reason for 119 00:06:59,040 --> 00:07:02,560 Speaker 2: the deer population issues in certain places. For example, where 120 00:07:02,600 --> 00:07:06,200 Speaker 2: I hunt Wisconsin, the easiest way to bond with the locals. Know, 121 00:07:06,320 --> 00:07:09,479 Speaker 2: besides drinking beer for breakfast and discussing the finer points 122 00:07:09,480 --> 00:07:12,559 Speaker 2: of the Green Bay Packers, offense is to talk about 123 00:07:12,560 --> 00:07:15,560 Speaker 2: how the wolves killed all the deer, you know, never 124 00:07:15,640 --> 00:07:18,120 Speaker 2: mind the bad winter we had last year that was 125 00:07:18,240 --> 00:07:21,000 Speaker 2: just not easy on the animals. And yes, I realized 126 00:07:21,040 --> 00:07:22,960 Speaker 2: that bad winners allow the wolves to do their thing 127 00:07:23,280 --> 00:07:27,360 Speaker 2: really efficiently, but I also know that bad winners there 128 00:07:27,680 --> 00:07:30,000 Speaker 2: without the wolves would still kill a lot of the deer. 129 00:07:30,840 --> 00:07:33,240 Speaker 2: Not to mention the fact that our area is almost 130 00:07:33,320 --> 00:07:36,480 Speaker 2: essentially unlimited analyst tags, which if you want to knock 131 00:07:36,520 --> 00:07:38,840 Speaker 2: the deer herd down, you make a lot of tags 132 00:07:38,880 --> 00:07:43,239 Speaker 2: available to shoot the breeders. This stuff is rarely simple. 133 00:07:43,960 --> 00:07:49,040 Speaker 2: It often sucks. It's also often not really what we think. 134 00:07:49,600 --> 00:07:52,600 Speaker 2: It's easy to believe the Game and Fish Department wants 135 00:07:52,640 --> 00:07:55,920 Speaker 2: all the deer dead if you disagree with their management decisions, 136 00:07:56,200 --> 00:07:58,360 Speaker 2: but you'd also have to acknowledge that they are cutting 137 00:07:58,400 --> 00:08:01,520 Speaker 2: their own throat revenue wise, which doesn't make much sense. 138 00:08:02,320 --> 00:08:05,720 Speaker 2: It's also true that we as hunters view this whole 139 00:08:05,760 --> 00:08:07,800 Speaker 2: thing through the lens of wanting lots of animals on 140 00:08:07,800 --> 00:08:09,640 Speaker 2: the landscape, so we can have a good time in 141 00:08:09,680 --> 00:08:12,560 Speaker 2: the woods. We forget sometimes that we aren't the only 142 00:08:12,600 --> 00:08:15,640 Speaker 2: stakeholders that game managers need to consider in their decisions. 143 00:08:16,480 --> 00:08:18,640 Speaker 2: I got a dose of this last year when my 144 00:08:18,760 --> 00:08:23,000 Speaker 2: daughter and I drew Wisconsin bear tags. After spending a 145 00:08:23,240 --> 00:08:27,040 Speaker 2: lot of time and money setting bear bait sites up 146 00:08:27,080 --> 00:08:31,600 Speaker 2: and keeping them refreshed, a neighboring farmer complained about crop damage, 147 00:08:31,840 --> 00:08:34,880 Speaker 2: and the DNR sent someone out to trap. They took 148 00:08:35,040 --> 00:08:38,160 Speaker 2: fourteen bears there the first week, which was the week 149 00:08:38,200 --> 00:08:41,440 Speaker 2: before the opener, and they kept trapping through much of 150 00:08:41,480 --> 00:08:45,000 Speaker 2: the season. To say that pissed me off would be 151 00:08:45,120 --> 00:08:48,680 Speaker 2: like saying Steve and Clay have a small, totally normal 152 00:08:48,800 --> 00:08:52,240 Speaker 2: romance going on. It wouldn't even cover one percent of 153 00:08:52,280 --> 00:09:05,280 Speaker 2: the truth. My daughter and I we played the points game, 154 00:09:05,400 --> 00:09:07,280 Speaker 2: We put in our time and effort to set up 155 00:09:07,320 --> 00:09:09,840 Speaker 2: for a hunt, and then the DNR decided a different 156 00:09:09,880 --> 00:09:13,360 Speaker 2: stakeholder was more important than us, and we literally had 157 00:09:13,520 --> 00:09:15,680 Speaker 2: all of our legal bears trapped out and moved twenty 158 00:09:15,760 --> 00:09:20,360 Speaker 2: five miles away. Too bad, so sad. That was their 159 00:09:20,400 --> 00:09:23,800 Speaker 2: strategy to deal with bears knocking down cornstocks, and because 160 00:09:23,800 --> 00:09:28,199 Speaker 2: of it, my daughter's hunt turned to total shit. That happens. 161 00:09:28,640 --> 00:09:31,520 Speaker 2: It's part of the game. There are a lot of 162 00:09:31,600 --> 00:09:35,640 Speaker 2: management decisions made every year that will benefit one party 163 00:09:35,720 --> 00:09:39,720 Speaker 2: and enrage another. That's not likely to change. And while 164 00:09:39,760 --> 00:09:42,400 Speaker 2: we should be involved in any way we can, you 165 00:09:42,440 --> 00:09:44,320 Speaker 2: know't have to fight for what we think is right. 166 00:09:45,000 --> 00:09:47,439 Speaker 2: It's also the truth that we just have to deal 167 00:09:47,480 --> 00:09:50,800 Speaker 2: with those decisions as they come our way. The thing 168 00:09:50,800 --> 00:09:54,080 Speaker 2: about this stuff is that most of it is totally 169 00:09:54,120 --> 00:09:57,280 Speaker 2: out of your control. But what is in your control 170 00:09:57,600 --> 00:10:00,840 Speaker 2: is being informed on not only the decision being made, 171 00:10:01,160 --> 00:10:05,240 Speaker 2: but why they are being made. Then deal with them 172 00:10:05,320 --> 00:10:07,200 Speaker 2: how you have to in order to get the most 173 00:10:07,240 --> 00:10:10,520 Speaker 2: out of your time afield. Now, let's take that walleye 174 00:10:10,520 --> 00:10:13,760 Speaker 2: example on Malax one more time. If your number one 175 00:10:13,840 --> 00:10:16,760 Speaker 2: priority is eighteen inch fish to eat, you got to 176 00:10:16,800 --> 00:10:19,880 Speaker 2: go somewhere else. That sucks, But unless you want to 177 00:10:19,880 --> 00:10:22,080 Speaker 2: get on the wrong side of the law, it's your 178 00:10:22,080 --> 00:10:24,720 Speaker 2: only option. If you want to catch the biggest walleye 179 00:10:24,720 --> 00:10:27,080 Speaker 2: of your life, often on a swim bait like three 180 00:10:27,120 --> 00:10:29,480 Speaker 2: feet of water, then heading to the big lake on 181 00:10:29,520 --> 00:10:33,040 Speaker 2: a calm day might be the best decision you've ever made. 182 00:10:33,120 --> 00:10:36,360 Speaker 2: For a more close to home example, let's say you 183 00:10:36,480 --> 00:10:38,680 Speaker 2: hunt in the heart of the wolf range, and you 184 00:10:38,960 --> 00:10:42,480 Speaker 2: always have you have a reason to complain that the 185 00:10:42,520 --> 00:10:44,480 Speaker 2: big dogs in the big woods are eating your big 186 00:10:44,520 --> 00:10:48,480 Speaker 2: bucks and little bucks and dozen fawns. The first thing 187 00:10:48,520 --> 00:10:50,959 Speaker 2: you can do is figure out how big of an 188 00:10:50,960 --> 00:10:55,240 Speaker 2: impact they are actually having on your local deer. This 189 00:10:55,440 --> 00:10:58,840 Speaker 2: goes beyond saying, well, I only see a couple of 190 00:10:58,840 --> 00:11:01,079 Speaker 2: deer off my stand every rifle season when I used 191 00:11:01,080 --> 00:11:04,079 Speaker 2: to see a dozen. Listen, we aren't entitled to the 192 00:11:04,200 --> 00:11:07,400 Speaker 2: hunts we want. We just get what we get. The 193 00:11:07,480 --> 00:11:10,959 Speaker 2: effort we put in is generally commensurate to the results, 194 00:11:11,360 --> 00:11:14,880 Speaker 2: kind of like most things in life. So maybe the 195 00:11:14,880 --> 00:11:17,640 Speaker 2: wolves did remove most of your deer from your woods. 196 00:11:18,000 --> 00:11:21,560 Speaker 2: But go out figure that out first. Figure it out 197 00:11:21,600 --> 00:11:25,040 Speaker 2: now by scouting. Don't wait until gun season to go 198 00:11:25,040 --> 00:11:27,120 Speaker 2: to your ladder stand that's been up since two thousand 199 00:11:27,160 --> 00:11:30,880 Speaker 2: and eight and let mother nature confirm your suspicions. Figure 200 00:11:30,880 --> 00:11:33,800 Speaker 2: it out now, maybe you'll realize there are some other 201 00:11:33,880 --> 00:11:36,959 Speaker 2: factors at play. Maybe a clear cut a mile or 202 00:11:37,040 --> 00:11:39,200 Speaker 2: two away is drawing your deer because it's full of 203 00:11:39,280 --> 00:11:43,000 Speaker 2: better cover and better food. Maybe the high ridge you 204 00:11:43,080 --> 00:11:45,120 Speaker 2: like to sit on is kind of a game desert, 205 00:11:45,559 --> 00:11:49,240 Speaker 2: But the swamp below you. That's where it's at. Before 206 00:11:49,280 --> 00:11:52,280 Speaker 2: declaring all of the deer are gone, it's best to 207 00:11:52,360 --> 00:11:55,840 Speaker 2: do a little detective work, That's all I'm saying. And 208 00:11:55,880 --> 00:11:58,880 Speaker 2: then you know, what if you're right. What if the 209 00:11:59,000 --> 00:12:01,640 Speaker 2: DNR did import hybrid wolves that are three times the 210 00:12:01,679 --> 00:12:03,800 Speaker 2: size of a regular wolf, and you know it can 211 00:12:03,880 --> 00:12:06,760 Speaker 2: kill multiple deer in one night without breathing hard, and 212 00:12:06,840 --> 00:12:08,880 Speaker 2: whole packs of them were dropped off right by your 213 00:12:08,960 --> 00:12:10,720 Speaker 2: hunting camp in the middle of the night by covert 214 00:12:10,760 --> 00:12:15,320 Speaker 2: agents and black helicopters, then it's time to change. You 215 00:12:15,360 --> 00:12:17,720 Speaker 2: can't go back in time and keep those wolves out. 216 00:12:18,760 --> 00:12:21,280 Speaker 2: You can only figure out what you're working with now 217 00:12:21,679 --> 00:12:25,079 Speaker 2: and then react accordingly. Maybe ten miles down the road 218 00:12:25,600 --> 00:12:27,920 Speaker 2: is a zone on public land that the wolves just 219 00:12:28,000 --> 00:12:30,640 Speaker 2: don't use much. And sure it's not the hunt where 220 00:12:30,640 --> 00:12:32,680 Speaker 2: you walk out the back door of the shack and 221 00:12:32,720 --> 00:12:34,880 Speaker 2: take the ATV two hundred yards down the trail to 222 00:12:34,880 --> 00:12:38,360 Speaker 2: a familiar spot, but it'll get you closer to a different, 223 00:12:38,559 --> 00:12:42,280 Speaker 2: better hunt. Maybe the game managers for your state or 224 00:12:42,280 --> 00:12:45,160 Speaker 2: your unit decide that the deer are too thick and 225 00:12:45,200 --> 00:12:48,839 Speaker 2: they issue a ton of tags, a move you wholeheartedly 226 00:12:48,880 --> 00:12:51,160 Speaker 2: disagree with because you're not seeing the numbers you used 227 00:12:51,200 --> 00:12:54,840 Speaker 2: to see. They might be right, or you might be right, 228 00:12:55,240 --> 00:12:56,760 Speaker 2: or you both might be kind of right, or both 229 00:12:56,840 --> 00:12:59,680 Speaker 2: kind of wrong. On your one hundred acres, maybe the 230 00:12:59,679 --> 00:13:02,760 Speaker 2: deer aren't there as much because you hunt the piss 231 00:13:02,760 --> 00:13:05,120 Speaker 2: out of it, and the deer have better places to 232 00:13:05,200 --> 00:13:09,080 Speaker 2: go where they get bothered. Less, you experience fewer deer 233 00:13:09,120 --> 00:13:13,040 Speaker 2: sightings and assume it's the DNR's fault and worse, they're 234 00:13:13,040 --> 00:13:15,960 Speaker 2: telling you to shoot more. But the zone or unit 235 00:13:16,040 --> 00:13:17,920 Speaker 2: or county or region they are managing is a lot 236 00:13:17,960 --> 00:13:20,640 Speaker 2: bigger than your hundred acres, and maybe you're just in 237 00:13:20,679 --> 00:13:24,079 Speaker 2: a poor area. They don't manage the property because that 238 00:13:24,120 --> 00:13:27,600 Speaker 2: would be a lost cause and totally impossible. So it's 239 00:13:27,679 --> 00:13:29,199 Speaker 2: kind of just up to you to manage for your 240 00:13:29,280 --> 00:13:31,480 Speaker 2: land and understand that even if they say you can 241 00:13:31,520 --> 00:13:33,520 Speaker 2: shoot fifty dollars a year and not dent the herd, 242 00:13:33,920 --> 00:13:35,960 Speaker 2: you know better for your little corner of the world, 243 00:13:36,280 --> 00:13:39,080 Speaker 2: so you don't, and over time, your level of deer 244 00:13:39,160 --> 00:13:41,080 Speaker 2: starts to get a bit closer to what they say 245 00:13:41,160 --> 00:13:44,760 Speaker 2: is out there. This stuff is muddy, my friends, And 246 00:13:44,840 --> 00:13:47,720 Speaker 2: while we often assign malicious intent, to people who hold 247 00:13:47,720 --> 00:13:51,800 Speaker 2: different opinions. In US, malice in game management is probably 248 00:13:51,880 --> 00:13:56,680 Speaker 2: extremely rare. It's probably extremely rare in ballot box game 249 00:13:56,720 --> 00:14:00,280 Speaker 2: management too, where the general public votes on something. Although well, 250 00:14:00,400 --> 00:14:03,960 Speaker 2: I'm positive there's a different level of vindicativeness that creeps 251 00:14:03,960 --> 00:14:08,200 Speaker 2: into that world, especially when it involves cute animals or predators. 252 00:14:08,760 --> 00:14:12,800 Speaker 2: That's another story, and it's a stark reality for hunters 253 00:14:12,800 --> 00:14:16,880 Speaker 2: living in certain states like Colorado that probably won't end 254 00:14:16,920 --> 00:14:20,920 Speaker 2: well for us. Over time. Game management plays into our 255 00:14:20,960 --> 00:14:24,560 Speaker 2: lives in a lot of ways. Sure, it might not 256 00:14:24,640 --> 00:14:27,280 Speaker 2: have a huge impact on you if your goal is 257 00:14:27,320 --> 00:14:29,200 Speaker 2: to just shoot a decent bucket a door two each 258 00:14:29,280 --> 00:14:31,840 Speaker 2: year because a lot of whitetail states. Now, that's not 259 00:14:31,880 --> 00:14:34,120 Speaker 2: something that's going to be affected a whole lot by 260 00:14:34,160 --> 00:14:37,640 Speaker 2: normal management decisions. If you plan to travel to hunt 261 00:14:37,800 --> 00:14:40,880 Speaker 2: might be a different story. It's often the case where 262 00:14:40,880 --> 00:14:43,600 Speaker 2: we take many of our preconceived notions with us from 263 00:14:43,640 --> 00:14:46,760 Speaker 2: our home hunting situation and try to apply them to 264 00:14:46,800 --> 00:14:49,640 Speaker 2: over the road hunts, which tends to not work out 265 00:14:49,800 --> 00:14:53,840 Speaker 2: very well, or at least sometimes it doesn't. You can 266 00:14:53,840 --> 00:14:57,440 Speaker 2: see this with Western critters fairly easily. Like say you 267 00:14:57,520 --> 00:15:00,480 Speaker 2: loved antelopehunt, you want to go to Wyoming. Forget the 268 00:15:00,520 --> 00:15:02,440 Speaker 2: points issue in the waiting game to draw a tag 269 00:15:02,520 --> 00:15:05,080 Speaker 2: for a second, and just consider that Wyoming is generally 270 00:15:05,160 --> 00:15:08,000 Speaker 2: known for having a pile of antelope. You think, well, 271 00:15:08,320 --> 00:15:11,000 Speaker 2: I'll always be able to hunt speed goats there. Then 272 00:15:11,040 --> 00:15:14,440 Speaker 2: a wild winter hits and suddenly the population is fifty 273 00:15:14,480 --> 00:15:17,040 Speaker 2: percent of what it was in great swaths of the 274 00:15:17,080 --> 00:15:20,040 Speaker 2: state you know where they had tons of antelope just 275 00:15:20,080 --> 00:15:23,200 Speaker 2: a few months prior. Guess who isn't going to be 276 00:15:23,240 --> 00:15:25,320 Speaker 2: able to easily get a tag there for a few 277 00:15:25,400 --> 00:15:29,120 Speaker 2: years or maybe longer. In that case, the priority will 278 00:15:29,120 --> 00:15:31,080 Speaker 2: be to coddle the herd, to get it to rebound, 279 00:15:31,400 --> 00:15:35,200 Speaker 2: and to offer the locals the better part of the tags. First, 280 00:15:35,720 --> 00:15:39,840 Speaker 2: they're a prudent management decision that is largely or entirely 281 00:15:40,000 --> 00:15:44,040 Speaker 2: for the resource is keeping you out and could be 282 00:15:44,120 --> 00:15:47,160 Speaker 2: viewed as a big negative. But it's not so simple. 283 00:15:47,880 --> 00:15:50,440 Speaker 2: None of this stuff is simple, but it does impact 284 00:15:50,480 --> 00:15:53,800 Speaker 2: our hunting decisions. So I guess my takeaway from all 285 00:15:53,840 --> 00:15:56,880 Speaker 2: this it's just, you know, pay attention not only to 286 00:15:56,960 --> 00:15:59,640 Speaker 2: the decisions that game managers make that affect your hunts, 287 00:16:00,080 --> 00:16:02,680 Speaker 2: but also to try to learn why those decisions are 288 00:16:02,680 --> 00:16:06,200 Speaker 2: being made. It's not always the case, but it is 289 00:16:06,280 --> 00:16:09,400 Speaker 2: often the case. The decisions made that we disagree with 290 00:16:09,520 --> 00:16:12,080 Speaker 2: the most are the ones that are made to help 291 00:16:12,120 --> 00:16:15,560 Speaker 2: the resource. They aren't nefarious, They are just one of 292 00:16:15,600 --> 00:16:18,040 Speaker 2: the few options. Game agencies have to try to keep 293 00:16:18,040 --> 00:16:19,840 Speaker 2: the deer herd or the elk or the walleyes or 294 00:16:19,840 --> 00:16:22,880 Speaker 2: whatever at a sustainable level. And the more you learn 295 00:16:22,920 --> 00:16:25,520 Speaker 2: about this stuff, the easier it is to stomach things 296 00:16:25,920 --> 00:16:28,240 Speaker 2: when there is a change for the worse in the 297 00:16:28,280 --> 00:16:32,000 Speaker 2: management plan. It's not all negative, though, because when big 298 00:16:32,040 --> 00:16:34,080 Speaker 2: decisions are made and you feel like they weren't made 299 00:16:34,080 --> 00:16:36,760 Speaker 2: to your wishes, you have the option to figure something 300 00:16:36,760 --> 00:16:39,280 Speaker 2: else out. It's kind of like getting laid off from 301 00:16:39,320 --> 00:16:43,640 Speaker 2: your job. Sometimes that's a truly horrible situation that can 302 00:16:43,760 --> 00:16:45,800 Speaker 2: really alter the course of your life for the worse, 303 00:16:46,520 --> 00:16:49,520 Speaker 2: and that really really sucks. But sometimes it forces us 304 00:16:49,560 --> 00:16:52,440 Speaker 2: to reinvent ourselves or seek out a situation where we 305 00:16:52,480 --> 00:16:54,840 Speaker 2: won't suddenly be on the chopping block, and that can 306 00:16:54,880 --> 00:16:57,840 Speaker 2: be a very good thing. That's growth, even if the 307 00:16:57,880 --> 00:17:00,880 Speaker 2: catalyst for it is a really shitty event. In the 308 00:17:00,920 --> 00:17:05,080 Speaker 2: interest of hunting and more importantly, absolutely loving to hunt, 309 00:17:05,359 --> 00:17:08,840 Speaker 2: you just can't divorce your passion from the decisions made 310 00:17:08,840 --> 00:17:13,080 Speaker 2: by the agency's tasked with managing the animals. They're intertwined. 311 00:17:13,280 --> 00:17:15,560 Speaker 2: That's not going to change. The best way to handle 312 00:17:15,560 --> 00:17:18,080 Speaker 2: this is to learn about it, learn from it, and 313 00:17:18,200 --> 00:17:20,520 Speaker 2: expect it to change your life for the better or 314 00:17:20,560 --> 00:17:22,840 Speaker 2: the worse, and then just roll with it and make 315 00:17:22,840 --> 00:17:27,000 Speaker 2: the most of it. Sound good? Good? How does this sound? 316 00:17:27,240 --> 00:17:29,000 Speaker 2: Next week, I'm going to talk about something that I've 317 00:17:29,000 --> 00:17:32,879 Speaker 2: been thinking about a lot, how do you avoid us? 318 00:17:32,920 --> 00:17:35,040 Speaker 2: And why this is something we should all think about 319 00:17:35,040 --> 00:17:38,320 Speaker 2: a lot more than we probably do, especially in the 320 00:17:38,359 --> 00:17:40,679 Speaker 2: off season when we're starting to build a plan for 321 00:17:40,720 --> 00:17:45,320 Speaker 2: this coming hunting season. That's it for this week. I'm 322 00:17:45,359 --> 00:17:48,000 Speaker 2: Tony Peterson and this has been though wired to Hunt 323 00:17:48,040 --> 00:17:51,040 Speaker 2: Foundation's podcast, which is brought to you by First Light 324 00:17:51,560 --> 00:17:54,439 Speaker 2: as always, and I truly mean this. Thank you so 325 00:17:54,560 --> 00:17:57,240 Speaker 2: much for listening and for all your support. If you 326 00:17:57,400 --> 00:17:59,359 Speaker 2: like this podcast, you know where to find it. But 327 00:17:59,400 --> 00:18:00,639 Speaker 2: do you know where to find a bunch of other 328 00:18:00,680 --> 00:18:05,600 Speaker 2: stuff that our team's creating. The Meat eater dot com articles, 329 00:18:06,160 --> 00:18:09,560 Speaker 2: how to videos, episodes of various hunts, and a whole 330 00:18:09,600 --> 00:18:12,359 Speaker 2: bunch of other podcasts are all right there. Head on 331 00:18:12,440 --> 00:18:14,159 Speaker 2: over and check it out if you want to find 332 00:18:14,200 --> 00:18:18,720 Speaker 2: some more hunting content, cooking content, fishing content, dog training, whatever, 333 00:18:18,920 --> 00:18:26,760 Speaker 2: it's all there. Thank you,