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 00:00:20,560 --> 00:00:23,800 Speaker 2: Hey everyone, welcome to the Wired Hunt Foundation's podcast, which 7 00:00:23,840 --> 00:00:25,800 Speaker 2: is brought to you by first Light. I'm your host, 8 00:00:25,800 --> 00:00:29,360 Speaker 2: Tony Peterson, and today's episode is all about individual bucks 9 00:00:29,760 --> 00:00:33,120 Speaker 2: and why when we generalize too much about deer behavior, 10 00:00:33,680 --> 00:00:37,040 Speaker 2: we often miss out on our best chances to tag out. 11 00:00:45,479 --> 00:00:45,639 Speaker 3: Now. 12 00:00:45,680 --> 00:00:48,879 Speaker 2: I know a lot of you find listeners probably think 13 00:00:48,920 --> 00:00:52,120 Speaker 2: the inspiration for these podcasts comes from NonStop time in 14 00:00:52,159 --> 00:00:56,040 Speaker 2: the outdoors obsessing over big bucks. Some of it does, 15 00:00:56,680 --> 00:00:58,440 Speaker 2: just as some of it comes from casual time in 16 00:00:58,480 --> 00:01:00,920 Speaker 2: the outdoors thinking about little bucks and does and squirrels 17 00:01:00,920 --> 00:01:05,480 Speaker 2: and turkeys and rabbits and occasionally cryptids like bigfoot and chupacabras. 18 00:01:06,280 --> 00:01:10,520 Speaker 2: Sometimes inspiration doesn't come from a likely source. Sometimes it 19 00:01:10,600 --> 00:01:12,920 Speaker 2: just runs up to me and bites my hand and 20 00:01:13,000 --> 00:01:14,800 Speaker 2: reminds me of an idea I had a while back 21 00:01:14,840 --> 00:01:17,479 Speaker 2: to got lost in the sledge of my brain. Well, 22 00:01:17,480 --> 00:01:20,400 Speaker 2: here is that idea as it's burst into the world. 23 00:01:20,840 --> 00:01:23,160 Speaker 2: And while it might seem like a strange one, I 24 00:01:23,160 --> 00:01:26,360 Speaker 2: think there's real merit here to thinking about deer as individuals. 25 00:01:26,920 --> 00:01:36,200 Speaker 2: And now I'm gonna tell you why. Our history with 26 00:01:36,319 --> 00:01:41,000 Speaker 2: canines it's pretty incredible. Just like with the timeline for 27 00:01:41,040 --> 00:01:43,640 Speaker 2: when modern humans made it all over the world, the 28 00:01:43,680 --> 00:01:46,560 Speaker 2: timeline for us and our four legged pals keeps getting 29 00:01:46,600 --> 00:01:50,640 Speaker 2: pushed back further and further through new discoveries. Not long ago, 30 00:01:50,720 --> 00:01:53,200 Speaker 2: it was believed that we co evolved with dogs in 31 00:01:53,200 --> 00:01:56,640 Speaker 2: the last fifteen thousand or so years, but that is 32 00:01:56,680 --> 00:02:00,280 Speaker 2: now more like twenty to forty thousand years. Much of 33 00:02:00,320 --> 00:02:03,280 Speaker 2: the early years when we coaxed wolves or other wild 34 00:02:03,400 --> 00:02:06,760 Speaker 2: canids from the darkness to trust us for some calories 35 00:02:06,800 --> 00:02:08,800 Speaker 2: in exchange for a little protection from the big and 36 00:02:08,840 --> 00:02:13,200 Speaker 2: scary stuff out there is thought that the relationship was 37 00:02:13,760 --> 00:02:18,440 Speaker 2: purely transactional. In other words, we give you some food, 38 00:02:18,480 --> 00:02:21,200 Speaker 2: little doggie, or we let you dig through the scraps 39 00:02:21,520 --> 00:02:24,880 Speaker 2: and chomp on some charred bones and exchange you can 40 00:02:24,919 --> 00:02:27,480 Speaker 2: stay with us as long as you growl or bark 41 00:02:27,520 --> 00:02:32,160 Speaker 2: when danger gets too close. Seems simple, right, Well, eventually 42 00:02:32,200 --> 00:02:34,880 Speaker 2: we started to grow crops and learn a little about 43 00:02:34,919 --> 00:02:38,480 Speaker 2: animal husbandry, and dogs worm their way into our lives 44 00:02:38,480 --> 00:02:42,240 Speaker 2: through new roles. We selected certain dogs for certain traits, 45 00:02:42,720 --> 00:02:46,120 Speaker 2: even tail wagging according to recent studies, and now we 46 00:02:46,200 --> 00:02:48,919 Speaker 2: have a whole slew of different breeds to choose from. 47 00:02:49,760 --> 00:02:53,280 Speaker 2: We tend to look at this coevolution as something that 48 00:02:53,480 --> 00:02:57,880 Speaker 2: was mostly beneficial to us and that we were in control. 49 00:02:58,960 --> 00:03:02,040 Speaker 2: That wasn't until real relatively recently, that we had it 50 00:03:02,200 --> 00:03:04,880 Speaker 2: so good as a society that we could call our 51 00:03:04,960 --> 00:03:08,920 Speaker 2: dogs fur babies, which, if I'm being honest, is a 52 00:03:09,000 --> 00:03:10,640 Speaker 2: term that makes me want to hit myself in the 53 00:03:10,639 --> 00:03:13,079 Speaker 2: face with a brick, so I might forget that it exists. 54 00:03:14,320 --> 00:03:18,720 Speaker 2: But the fur baby movement has been around longer, or 55 00:03:18,720 --> 00:03:21,600 Speaker 2: it's been in the making longer then we might think, 56 00:03:22,520 --> 00:03:26,200 Speaker 2: at least according to a recent archaeological find in Sweden, 57 00:03:26,600 --> 00:03:29,320 Speaker 2: which has been carbon dated to about eighty four hundred 58 00:03:29,400 --> 00:03:33,480 Speaker 2: years ago, researchers working on deciphering all there is to 59 00:03:33,560 --> 00:03:39,000 Speaker 2: know about a Mesolithic site containing fifty one structures, hearths, postholes, 60 00:03:39,000 --> 00:03:41,480 Speaker 2: and at least one well preserved dog that was buried 61 00:03:41,480 --> 00:03:45,240 Speaker 2: with what we called grave goods. It's kind of illuminating 62 00:03:45,280 --> 00:03:48,640 Speaker 2: what was going on back then. People have been sending 63 00:03:48,840 --> 00:03:52,240 Speaker 2: other people to the afterlife with an assortment of goodies 64 00:03:52,280 --> 00:03:54,280 Speaker 2: and valuables to aid them on their journey for a 65 00:03:54,320 --> 00:03:58,520 Speaker 2: long time. But also we know now at least one dog, 66 00:03:58,840 --> 00:04:01,200 Speaker 2: who I can only surmond must have been a very 67 00:04:01,240 --> 00:04:04,640 Speaker 2: good boy, has been found with some grave goodies as well. 68 00:04:05,160 --> 00:04:08,040 Speaker 2: In fact, quite a few of them have been found 69 00:04:08,400 --> 00:04:12,360 Speaker 2: carefully placed in a grave with necklaces, spoons, and other 70 00:04:12,440 --> 00:04:16,920 Speaker 2: offerings that might have been dog toys. To frame this up, 71 00:04:17,360 --> 00:04:20,200 Speaker 2: consider that someone in Sweden loved their dog enough to 72 00:04:20,200 --> 00:04:24,279 Speaker 2: give it a proper burial, complete with gifts for the afterlife. 73 00:04:25,200 --> 00:04:29,000 Speaker 2: This happened before the first stones were laid which would 74 00:04:29,000 --> 00:04:32,920 Speaker 2: become the Great Pyramids of Giza. Ditto for Stonehenge, which 75 00:04:32,920 --> 00:04:36,840 Speaker 2: has been standing for like fifty centuries. It happened way 76 00:04:36,839 --> 00:04:39,640 Speaker 2: before Genghis Khan and his Mongolian horde murdered like one 77 00:04:39,640 --> 00:04:42,320 Speaker 2: out of every ten people on the planet. It happened 78 00:04:42,320 --> 00:04:47,359 Speaker 2: way before the Fall Rome, before much of our recorded history, people, 79 00:04:47,640 --> 00:04:52,279 Speaker 2: at least some people were infatuated with dogs. Now this 80 00:04:52,400 --> 00:04:56,080 Speaker 2: is obviously still true to this day, which was evidence 81 00:04:56,200 --> 00:04:58,799 Speaker 2: to me recently when I went and met my sister 82 00:04:58,839 --> 00:05:02,680 Speaker 2: in law's new French bulld Bruno. Bruno has a one 83 00:05:02,800 --> 00:05:04,680 Speaker 2: year old dog that looks like he was built from 84 00:05:04,800 --> 00:05:08,160 Speaker 2: spare parts Pilford from the hound factory, and who has 85 00:05:08,200 --> 00:05:10,279 Speaker 2: a face that I doubt even a mother could love. 86 00:05:11,120 --> 00:05:13,880 Speaker 2: He breathes like he's constantly on the verge of suffocating 87 00:05:14,200 --> 00:05:16,960 Speaker 2: because he kind of is with his God's own prototype 88 00:05:16,960 --> 00:05:22,120 Speaker 2: smashed face. He's stocky, bites everyone, but his mouth isn't 89 00:05:22,200 --> 00:05:24,240 Speaker 2: very big or strong, so I guess it's cute to 90 00:05:24,279 --> 00:05:28,920 Speaker 2: some people, and he barks a lot. He's also, and 91 00:05:28,960 --> 00:05:31,359 Speaker 2: I say this as a true dog lover, one of 92 00:05:31,400 --> 00:05:34,360 Speaker 2: the dumbest animals I've ever met. But my sister in 93 00:05:34,440 --> 00:05:37,680 Speaker 2: law loves him, and like most dog people, she has 94 00:05:37,760 --> 00:05:40,720 Speaker 2: her breed mostly because she likes how they look, and 95 00:05:40,760 --> 00:05:43,919 Speaker 2: she had one before who died way too young. Because 96 00:05:43,920 --> 00:05:48,000 Speaker 2: French bulldogs, like a lot of breeds, aren't bred for health. 97 00:05:49,000 --> 00:05:49,680 Speaker 3: They are bred for. 98 00:05:49,680 --> 00:05:53,279 Speaker 2: Looks and quantity due to their popularity, she was hoping 99 00:05:53,320 --> 00:05:55,799 Speaker 2: to get a two point zero version of her last dog, Ted, 100 00:05:56,240 --> 00:05:59,359 Speaker 2: who is actually uglier than Bruno and quite possibly the 101 00:05:59,400 --> 00:06:03,400 Speaker 2: gassest dog never exists. Anyone who has gone from one 102 00:06:03,400 --> 00:06:06,000 Speaker 2: beloved dog to a new pup. Knows how that works out. 103 00:06:06,680 --> 00:06:09,880 Speaker 2: You don't get the same dog, even from the same breeder, 104 00:06:10,720 --> 00:06:14,880 Speaker 2: You get a new dog. Because they are individuals. We 105 00:06:14,960 --> 00:06:18,240 Speaker 2: sometimes forget this. Hell, we do it with people all 106 00:06:18,240 --> 00:06:21,839 Speaker 2: the time. My twin daughters could not be more different, 107 00:06:22,480 --> 00:06:24,920 Speaker 2: but they are often treated as a single unit instead 108 00:06:24,920 --> 00:06:28,520 Speaker 2: of two individuals. We do this with broader groups of people, 109 00:06:28,560 --> 00:06:31,240 Speaker 2: whether it's in politics or sports, or religion or hell 110 00:06:31,480 --> 00:06:35,719 Speaker 2: hunting influencers. We do this with deer too. If you 111 00:06:35,760 --> 00:06:37,680 Speaker 2: want to know the easiest example of this, look at 112 00:06:37,680 --> 00:06:41,039 Speaker 2: how many people are out there who definitively declare a 113 00:06:41,040 --> 00:06:42,920 Speaker 2: buck is a certain age because of how it looks. 114 00:06:43,960 --> 00:06:46,680 Speaker 2: You can't do that with dogs, you can't do that 115 00:06:46,720 --> 00:06:49,679 Speaker 2: with people. But here we are declaring every one hundred 116 00:06:49,680 --> 00:06:51,240 Speaker 2: and thirty inch buck a three and a half year 117 00:06:51,240 --> 00:06:53,440 Speaker 2: old and calling it a day. I think that is 118 00:06:53,480 --> 00:06:57,200 Speaker 2: something that is really holding us back as hunters. That mentality, 119 00:06:57,320 --> 00:07:02,000 Speaker 2: not that specific example, although that's certainly something that has 120 00:07:02,120 --> 00:07:05,160 Speaker 2: changed the landscape at whitetail hunting, and I'd argue probably 121 00:07:05,200 --> 00:07:08,080 Speaker 2: not for the better. But here's the thing about deer hunting. 122 00:07:08,839 --> 00:07:12,679 Speaker 2: We talk in general behavior because we can't talk about 123 00:07:12,680 --> 00:07:16,160 Speaker 2: individuals very often. But just because that's how we view 124 00:07:16,200 --> 00:07:19,240 Speaker 2: our world as it pertains to hunting doesn't mean it's 125 00:07:19,280 --> 00:07:23,040 Speaker 2: the best way for us as individual hunters to approach 126 00:07:23,080 --> 00:07:28,680 Speaker 2: our task. Let's take a simple example. In many places 127 00:07:28,680 --> 00:07:32,360 Speaker 2: with a long deer hunting tradition, the deer will generally 128 00:07:32,400 --> 00:07:35,640 Speaker 2: look up in trees for danger. The more pressure from 129 00:07:35,680 --> 00:07:38,480 Speaker 2: tree stand hunters, the more likely they are to look 130 00:07:38,560 --> 00:07:42,080 Speaker 2: up into the trees to see somebody bad up there. 131 00:07:42,480 --> 00:07:46,400 Speaker 2: It's pretty simple if you hunt out east, pretty easy 132 00:07:46,400 --> 00:07:49,200 Speaker 2: to get busted. Even if you're twenty feet up out 133 00:07:49,240 --> 00:07:51,600 Speaker 2: west in some of those river bottoms that snake their 134 00:07:51,600 --> 00:07:54,680 Speaker 2: way through the prairies, you might not ever get picked off. 135 00:07:55,560 --> 00:07:58,040 Speaker 2: Those deer just aren't as used to predators waiting in 136 00:07:58,080 --> 00:08:01,440 Speaker 2: the cottonwoods to send sharp sticks through their lungs. Now, 137 00:08:01,480 --> 00:08:04,720 Speaker 2: you smart listeners might be thinking, well, you're not really 138 00:08:04,760 --> 00:08:08,600 Speaker 2: talking about individuals here, You're talking about generalities between deer 139 00:08:08,640 --> 00:08:11,160 Speaker 2: of different regions. And you're right, you got me, So 140 00:08:11,200 --> 00:08:14,640 Speaker 2: I'll take it a step further. If you hunt good 141 00:08:14,720 --> 00:08:17,440 Speaker 2: private land, you might not have to worry about deer 142 00:08:17,440 --> 00:08:20,800 Speaker 2: looking up too much, no matter where it's located. Yet, 143 00:08:20,840 --> 00:08:22,480 Speaker 2: if you drive down the road and hunt the same 144 00:08:22,520 --> 00:08:25,920 Speaker 2: way on public land, you might have a vastly different experience. 145 00:08:26,760 --> 00:08:29,160 Speaker 2: This is one of the reasons I have no problems 146 00:08:29,200 --> 00:08:32,080 Speaker 2: shooting small bucks or does on public land. 147 00:08:32,720 --> 00:08:33,640 Speaker 3: A lot of the times. 148 00:08:34,520 --> 00:08:37,560 Speaker 2: Sometimes I need easier deer to kill, and those deer 149 00:08:37,600 --> 00:08:39,680 Speaker 2: tend to be easier to find and kill than big bucks, 150 00:08:40,040 --> 00:08:43,400 Speaker 2: especially when the pressure is intense. The difference from one 151 00:08:43,480 --> 00:08:47,000 Speaker 2: section to the next can be stark. But again, I'm 152 00:08:47,040 --> 00:08:49,960 Speaker 2: still kind of talking in generalities, even if I'm just 153 00:08:50,000 --> 00:08:52,200 Speaker 2: referring to the deer on one six hundred and forty 154 00:08:52,240 --> 00:08:54,839 Speaker 2: acre chunk versus deer on the next six hundred and 155 00:08:54,840 --> 00:08:58,640 Speaker 2: forty acre chunk. But tucked into those spots are deer 156 00:08:58,679 --> 00:09:02,040 Speaker 2: that are individuals, just like the two labs laying at 157 00:09:02,040 --> 00:09:05,559 Speaker 2: my feet right now. Even though they are both black labs, 158 00:09:05,960 --> 00:09:11,400 Speaker 2: both have awesome bloodlines, and both are female, They're vastly 159 00:09:11,440 --> 00:09:26,559 Speaker 2: different in their personalities size, just like deer. So think 160 00:09:26,600 --> 00:09:29,640 Speaker 2: about it this way. The current rage out there is 161 00:09:29,679 --> 00:09:31,880 Speaker 2: to find a buck that is mature, name him, and 162 00:09:31,920 --> 00:09:34,960 Speaker 2: then hunt that specific deer. And this is great if 163 00:09:35,000 --> 00:09:38,240 Speaker 2: that's what you're into. But what people don't get really 164 00:09:38,280 --> 00:09:41,480 Speaker 2: good at is learned that just because a five and 165 00:09:41,480 --> 00:09:43,240 Speaker 2: a half year old buck makes your hit list, it 166 00:09:43,280 --> 00:09:45,640 Speaker 2: doesn't mean he's going to act like a five and 167 00:09:45,640 --> 00:09:47,520 Speaker 2: a half year old buck is supposed to act. 168 00:09:48,160 --> 00:09:49,640 Speaker 3: What I mean by that is. 169 00:09:49,600 --> 00:09:52,640 Speaker 2: You might follow all of the conventional hunting advice and 170 00:09:52,720 --> 00:09:55,880 Speaker 2: never get a crack at that specific deer, But if 171 00:09:55,920 --> 00:09:57,680 Speaker 2: you hunt like some of the folks who are really 172 00:09:57,679 --> 00:10:01,600 Speaker 2: good at patterning an individual, you might learn what that 173 00:10:01,720 --> 00:10:05,120 Speaker 2: deer likes to do. This is an important distinction, and 174 00:10:05,160 --> 00:10:07,160 Speaker 2: I feel like I should break it down further before 175 00:10:07,200 --> 00:10:10,520 Speaker 2: explaining what it means to you as a hunter. You 176 00:10:10,640 --> 00:10:12,960 Speaker 2: might think that since the average TV hunter you see 177 00:10:13,000 --> 00:10:15,440 Speaker 2: is really good at patterning big bucks in the same way, 178 00:10:15,960 --> 00:10:19,120 Speaker 2: since they often kill giants that have names. But it's 179 00:10:19,120 --> 00:10:22,360 Speaker 2: a different world for many of them. They have cell cameras, 180 00:10:22,360 --> 00:10:24,720 Speaker 2: food plots, the acreage in the time to allow for 181 00:10:24,760 --> 00:10:28,520 Speaker 2: a certain buck to start daylighting in a specific area. 182 00:10:28,720 --> 00:10:32,559 Speaker 2: They aren't necessarily learning the particulars of that buck and 183 00:10:32,720 --> 00:10:36,040 Speaker 2: killing him on high level hunts. They are playing the 184 00:10:36,160 --> 00:10:40,040 Speaker 2: weighted out and let him get comfortable game. I don't 185 00:10:40,080 --> 00:10:42,520 Speaker 2: care what deer it is if he doesn't get pressured 186 00:10:42,840 --> 00:10:45,760 Speaker 2: and he doesn't have any negative consequences for moving in daylight. 187 00:10:46,160 --> 00:10:49,760 Speaker 2: He's eventually going to move more and more because well, 188 00:10:49,920 --> 00:10:53,160 Speaker 2: why wouldn't he. Again, this isn't a knock on the 189 00:10:53,200 --> 00:10:55,200 Speaker 2: strategy or whatever. It's just to point out that you 190 00:10:55,760 --> 00:10:59,880 Speaker 2: probably should base your hunting strategies, not necessarily on that style, 191 00:11:00,360 --> 00:11:04,520 Speaker 2: because it's just highly unique to those hunters. Instead, you 192 00:11:04,559 --> 00:11:07,000 Speaker 2: should be paying attention to the deer that you see, 193 00:11:07,400 --> 00:11:09,560 Speaker 2: the deer that you can watch in the off season, 194 00:11:09,960 --> 00:11:13,319 Speaker 2: the sign you might be able to attribute to certain bucks, 195 00:11:13,679 --> 00:11:15,960 Speaker 2: and try to learn not only what the group traits 196 00:11:15,960 --> 00:11:18,160 Speaker 2: are for the deer you hunt in any given spot, 197 00:11:18,640 --> 00:11:23,400 Speaker 2: but anything you can learn about the individuals. Take calling, 198 00:11:23,480 --> 00:11:27,120 Speaker 2: for example, if you're lucky, you've probably called in some 199 00:11:27,160 --> 00:11:29,640 Speaker 2: bucks in your life, maybe a grunt of them in 200 00:11:29,880 --> 00:11:32,440 Speaker 2: I don't know, maybe you rattled them in whatever. Some 201 00:11:32,480 --> 00:11:37,560 Speaker 2: bucks are callable and some just aren't. Why why Well, 202 00:11:37,840 --> 00:11:42,240 Speaker 2: who knows? Some dogs fight other dogs on site, while 203 00:11:42,280 --> 00:11:44,880 Speaker 2: other dogs couldn't muster aggressiveness if they were forced to. 204 00:11:45,800 --> 00:11:49,040 Speaker 2: Why would deer be any different. This means that if 205 00:11:49,080 --> 00:11:51,720 Speaker 2: you're out there on Halloween and you see a good 206 00:11:51,720 --> 00:11:54,440 Speaker 2: buck walking on a range, you might call him in 207 00:11:55,280 --> 00:11:56,959 Speaker 2: he might just be in the mood to check out 208 00:11:56,960 --> 00:11:58,800 Speaker 2: a distant grunt, or he might be the kind of 209 00:11:58,840 --> 00:12:03,160 Speaker 2: deer who very much prefer the solo life. You can 210 00:12:03,200 --> 00:12:06,320 Speaker 2: take this a step further by looking at dear buddies, 211 00:12:07,000 --> 00:12:10,520 Speaker 2: which sounds like a sitcom idea Mark would pitch to 212 00:12:10,600 --> 00:12:14,440 Speaker 2: Steve at our content summit. But the truth is some 213 00:12:14,480 --> 00:12:17,240 Speaker 2: bucks prefer to hang with other bucks, often until the 214 00:12:17,320 --> 00:12:21,679 Speaker 2: rut and sometimes through it. Why who knows, but I 215 00:12:21,760 --> 00:12:23,360 Speaker 2: know that when you see a good buck and a 216 00:12:23,400 --> 00:12:26,920 Speaker 2: smaller buck together often that a grunt call might be 217 00:12:27,080 --> 00:12:29,839 Speaker 2: all I need to kill that bigger one. I'm sure 218 00:12:29,880 --> 00:12:32,280 Speaker 2: there is a survival component to pairing up when it 219 00:12:32,280 --> 00:12:34,840 Speaker 2: comes to bucks, and that's something that can be used 220 00:12:34,880 --> 00:12:38,440 Speaker 2: in your favor. It's a survival strength to them, but 221 00:12:38,520 --> 00:12:42,200 Speaker 2: you can turn it into a survival weakness. Another way 222 00:12:42,200 --> 00:12:46,000 Speaker 2: that we see this individuality highlighted is through nocturnal behavior. 223 00:12:46,760 --> 00:12:50,040 Speaker 2: This might be the most obvious example. Some bucks seem 224 00:12:50,120 --> 00:12:53,679 Speaker 2: to have no problem showing up randomly in the daylight hours, 225 00:12:54,200 --> 00:12:58,040 Speaker 2: while others are damn near vampires. If you target a 226 00:12:58,080 --> 00:13:01,079 Speaker 2: buck that is in that vampire status, which I did 227 00:13:01,120 --> 00:13:04,320 Speaker 2: for a few years here in Minnesota, prepare yourself for 228 00:13:04,400 --> 00:13:07,600 Speaker 2: some disappointment. Unless you have a lot of time to 229 00:13:07,600 --> 00:13:11,640 Speaker 2: sit during the rut, those bucks are extremely hard to kill. 230 00:13:12,240 --> 00:13:14,600 Speaker 2: I'm not saying you should use a few nighttime trail 231 00:13:14,640 --> 00:13:18,199 Speaker 2: camera photos to declare a buck nocturnal and therefore unkillable, 232 00:13:18,880 --> 00:13:21,240 Speaker 2: but to be honest about what you can learn about 233 00:13:21,280 --> 00:13:25,200 Speaker 2: individual deer these days, if a buck leads me to 234 00:13:25,240 --> 00:13:29,600 Speaker 2: believe he's mostly nocturnal, I almost won't even think about 235 00:13:29,679 --> 00:13:33,760 Speaker 2: him because I know what it leads to. In fact, 236 00:13:34,160 --> 00:13:37,280 Speaker 2: this happened to me last fall in Wisconsin. There were 237 00:13:37,320 --> 00:13:41,040 Speaker 2: two hundred and fifty inch type bucks occasionally using a 238 00:13:41,080 --> 00:13:44,800 Speaker 2: small property I own. The neighbors well aware of them, 239 00:13:45,280 --> 00:13:47,400 Speaker 2: and he was actually putting in some time for them. 240 00:13:47,840 --> 00:13:50,400 Speaker 2: I'm being honest when I say I didn't even really 241 00:13:50,440 --> 00:13:53,000 Speaker 2: care they were there. I knew I was probably not 242 00:13:53,040 --> 00:13:55,600 Speaker 2: going to see them give him my limited time over there, 243 00:13:56,000 --> 00:13:58,480 Speaker 2: and the fact that I'm mostly hunting with eleven year 244 00:13:58,520 --> 00:14:01,680 Speaker 2: olds at the time, so I didn't let those deer 245 00:14:01,760 --> 00:14:05,160 Speaker 2: factor into my decisions a whole lot. Maybe that's defeatist, 246 00:14:05,760 --> 00:14:07,960 Speaker 2: but I hunt for fun mostly, and it's not fun 247 00:14:08,000 --> 00:14:10,800 Speaker 2: for me to target a deer that I consider to 248 00:14:10,880 --> 00:14:15,880 Speaker 2: be generally a ghost. Bucks show their individuality in other 249 00:14:15,920 --> 00:14:21,000 Speaker 2: ways too. Where they bed is often interesting, Although this 250 00:14:21,040 --> 00:14:24,120 Speaker 2: is due partially to deer density, A lot of the 251 00:14:24,160 --> 00:14:27,240 Speaker 2: big buck beds I find in swamps and big wood 252 00:14:27,320 --> 00:14:33,240 Speaker 2: situations feel very isolated. Tiny islands of cover and big 253 00:14:33,320 --> 00:14:37,880 Speaker 2: swamps highlight this very well. Maybe it's because they don't 254 00:14:37,920 --> 00:14:40,480 Speaker 2: have younger deer to bed with and act as centuries, 255 00:14:41,240 --> 00:14:43,880 Speaker 2: but older bucks in the big woods seem to lean 256 00:14:44,240 --> 00:14:48,480 Speaker 2: hard into the introvert lifestyle. When I've hunted high density 257 00:14:48,520 --> 00:14:52,760 Speaker 2: areas like Iowa, it seems like they either don't seek 258 00:14:52,760 --> 00:14:56,520 Speaker 2: that level of isolation or simply just can't find it. 259 00:14:56,920 --> 00:15:00,440 Speaker 2: But it also often has the vibe of hunting early 260 00:15:00,480 --> 00:15:02,640 Speaker 2: season meal deer in high country basins. 261 00:15:03,440 --> 00:15:05,240 Speaker 3: There you can watch the big. 262 00:15:05,080 --> 00:15:08,040 Speaker 2: Boys choose the best spots to bed while their younger 263 00:15:08,080 --> 00:15:11,280 Speaker 2: buddies filter out and act as an early alarm system. 264 00:15:12,600 --> 00:15:15,360 Speaker 2: This seems like the same scenario with white tails, and 265 00:15:15,400 --> 00:15:18,160 Speaker 2: while that's intuitive to a lot of folks, it's also 266 00:15:18,240 --> 00:15:21,080 Speaker 2: telling on how to hunt an individual buck in that situation. 267 00:15:21,920 --> 00:15:24,840 Speaker 2: You're probably not going to still hunt into his bedding 268 00:15:24,840 --> 00:15:27,800 Speaker 2: area and shoot him while he's napping. You're going to 269 00:15:27,880 --> 00:15:31,240 Speaker 2: have to have rock solid access and let some of 270 00:15:31,280 --> 00:15:34,400 Speaker 2: the other deer go before he gives you a chance. 271 00:15:35,560 --> 00:15:38,920 Speaker 2: Every type of hunting situation has its own challenges, my friends, 272 00:15:39,480 --> 00:15:42,000 Speaker 2: but it pays to try to learn individual traits of 273 00:15:42,040 --> 00:15:46,560 Speaker 2: specific deer whenever you can. In fact, this reminds me 274 00:15:46,600 --> 00:15:49,120 Speaker 2: of something that a fellow named Dan Evans, who started 275 00:15:49,160 --> 00:15:52,000 Speaker 2: a trophy taker a long time ago. He told me 276 00:15:52,320 --> 00:15:55,240 Speaker 2: years ago during a conversation. Now, if you don't know 277 00:15:55,280 --> 00:15:58,160 Speaker 2: who Dan is, he's one of the best elk hunters 278 00:15:58,160 --> 00:16:02,800 Speaker 2: in the world. He targets huge old bulls and he's 279 00:16:03,000 --> 00:16:08,400 Speaker 2: probably killed more four hundred class animals than anyone, especially 280 00:16:08,440 --> 00:16:11,880 Speaker 2: considering he's often hunting units that you and I could draw. 281 00:16:12,920 --> 00:16:15,680 Speaker 2: When I asked him what his secret was, he said 282 00:16:15,720 --> 00:16:19,720 Speaker 2: that the monster bulls are often total loaners. He said, 283 00:16:19,760 --> 00:16:22,440 Speaker 2: they often don't even participate in the rut in a 284 00:16:22,480 --> 00:16:27,240 Speaker 2: meaningful way. The challenge is finding them first, of course, 285 00:16:27,680 --> 00:16:31,000 Speaker 2: But then once he does, he watches them as much 286 00:16:31,040 --> 00:16:34,560 Speaker 2: as he can to figure out their daily lives. Then 287 00:16:34,600 --> 00:16:37,280 Speaker 2: he sneaks in and tries to kill them, not call them. 288 00:16:37,360 --> 00:16:40,520 Speaker 2: Usually just sneak in and ambush them. Now, this is 289 00:16:40,560 --> 00:16:42,920 Speaker 2: a dumbed down version of a conversation we had a 290 00:16:42,960 --> 00:16:43,680 Speaker 2: long time ago. 291 00:16:44,520 --> 00:16:46,600 Speaker 3: But the gist of it is that if you. 292 00:16:46,560 --> 00:16:48,800 Speaker 2: Hunted those giant elk like you're supposed to hunt elk, 293 00:16:49,240 --> 00:16:52,320 Speaker 2: you wouldn't see them, let alone kill them. They are 294 00:16:52,360 --> 00:16:55,560 Speaker 2: different and they are individuals who do certain things a 295 00:16:55,560 --> 00:16:59,280 Speaker 2: certain way. Deer do this too, and it's not just bucks. 296 00:16:59,600 --> 00:17:03,200 Speaker 2: If you're low deer density area or just think that 297 00:17:03,240 --> 00:17:06,280 Speaker 2: the rut is your best bet. Wherever you hunt, paying 298 00:17:06,280 --> 00:17:09,680 Speaker 2: attention to the doe is a huge benefit to your 299 00:17:09,680 --> 00:17:14,720 Speaker 2: buck hunting strategy. Does can be predictable even on public land. 300 00:17:15,000 --> 00:17:18,639 Speaker 2: That's an advantage that I cannot overstate. If you can 301 00:17:18,680 --> 00:17:21,359 Speaker 2: sneak in and watch a small family group or learn 302 00:17:21,359 --> 00:17:24,880 Speaker 2: about a solo dough feeding or betting or traveling somewhere 303 00:17:25,160 --> 00:17:28,639 Speaker 2: somewhat consistently, you have a really good trap set for 304 00:17:28,720 --> 00:17:31,840 Speaker 2: yourself for the rut. This is something that I'm trying 305 00:17:31,840 --> 00:17:34,040 Speaker 2: to get better at in the big Woods because I 306 00:17:34,040 --> 00:17:35,880 Speaker 2: think it's the key to killing a really good deer 307 00:17:36,000 --> 00:17:37,720 Speaker 2: during the rut, and some of the spots I hunt 308 00:17:38,359 --> 00:17:41,199 Speaker 2: it might not happen, but it might also just be 309 00:17:41,320 --> 00:17:43,119 Speaker 2: that I'll figure out where a doe group or a 310 00:17:43,160 --> 00:17:45,480 Speaker 2: single dough likes to hang out in the swamps, and 311 00:17:45,520 --> 00:17:47,600 Speaker 2: then do my best to stay down win and wait 312 00:17:47,640 --> 00:17:51,480 Speaker 2: out a buck that undoubtedly knows about her habits as well. 313 00:17:51,760 --> 00:17:54,040 Speaker 2: Think about this as we trudge our way through winter 314 00:17:54,640 --> 00:17:58,600 Speaker 2: and have all of this time before next season. Maybe 315 00:17:58,600 --> 00:18:01,359 Speaker 2: this will help you develop a better tree camera strategy 316 00:18:02,080 --> 00:18:04,760 Speaker 2: or prompt you to finally buy a spotting scope so 317 00:18:04,760 --> 00:18:07,840 Speaker 2: you can glass your happy ass off this summer. In fact, 318 00:18:08,160 --> 00:18:09,960 Speaker 2: if you want a little bit of a hint here 319 00:18:10,000 --> 00:18:12,920 Speaker 2: before I wrap this up, what I talked about earlier 320 00:18:13,040 --> 00:18:16,240 Speaker 2: about the bucks that I've dealt with it are truly nocturnal. 321 00:18:16,760 --> 00:18:19,960 Speaker 2: A really good way to gauge that isn't necessarily from 322 00:18:20,160 --> 00:18:23,280 Speaker 2: trail camera photos, although that helps a lot, but how 323 00:18:23,359 --> 00:18:26,280 Speaker 2: easy they are to watch in the summer, because some 324 00:18:26,359 --> 00:18:30,359 Speaker 2: bucks just don't seem to hardly ever shed that nocturnal 325 00:18:30,440 --> 00:18:33,639 Speaker 2: bent no matter what. And if they're out there and 326 00:18:33,680 --> 00:18:36,200 Speaker 2: you're getting nighttime trail camera photos of them in July 327 00:18:36,760 --> 00:18:38,720 Speaker 2: and you can't get out there with your spotting scope 328 00:18:38,720 --> 00:18:43,880 Speaker 2: and pick them up, those deer know what they're doing. Anyway, 329 00:18:43,920 --> 00:18:47,159 Speaker 2: that was a little diversion. I want to wrap this 330 00:18:47,320 --> 00:18:50,200 Speaker 2: up by saying, you know, maybe you'll end up killing 331 00:18:50,200 --> 00:18:54,359 Speaker 2: a specific buck this fall just because you learn something 332 00:18:54,400 --> 00:18:59,400 Speaker 2: about him that doesn't jive with general deer knowledge, which 333 00:18:59,440 --> 00:19:02,160 Speaker 2: is something that you have to be thinking about because 334 00:19:02,200 --> 00:19:04,280 Speaker 2: not only are you trying to get better at learning 335 00:19:04,840 --> 00:19:08,359 Speaker 2: all the deer, but those specific ones and when you 336 00:19:08,520 --> 00:19:12,480 Speaker 2: kill that specific one, it's pretty sweet. Come back next 337 00:19:12,480 --> 00:19:17,520 Speaker 2: week and I'm going to talk about why why deer 338 00:19:17,680 --> 00:19:20,840 Speaker 2: are where they are and why that's probably the most 339 00:19:20,880 --> 00:19:26,240 Speaker 2: important question we should be asking ourselves as hunters. That's 340 00:19:26,280 --> 00:19:28,639 Speaker 2: it for this week. I'm Tony Peterson. It's been the 341 00:19:28,640 --> 00:19:31,000 Speaker 2: Wire to Hunt Foundation's podcast, which is brought to you 342 00:19:31,000 --> 00:19:33,240 Speaker 2: by First Light. As always, thank you so much for 343 00:19:33,320 --> 00:19:37,720 Speaker 2: your support. Everybody here at media truly appreciates it. If 344 00:19:37,760 --> 00:19:42,199 Speaker 2: you have just not gotten enough white tail content, or 345 00:19:42,240 --> 00:19:44,560 Speaker 2: maybe you're running out of podcast because it's the middle 346 00:19:44,600 --> 00:19:46,040 Speaker 2: of the winter and you're driving around a lot or 347 00:19:46,040 --> 00:19:47,800 Speaker 2: going to the gym a lot and you're burning through them, 348 00:19:48,560 --> 00:19:51,400 Speaker 2: the meeteater dot com has all. 349 00:19:51,240 --> 00:19:53,080 Speaker 3: The stuff that we produce. 350 00:19:53,480 --> 00:19:57,680 Speaker 2: You can go read articles, you can watch YouTube series 351 00:19:57,720 --> 00:19:59,760 Speaker 2: on there, you can listen to the New God's Country 352 00:19:59,760 --> 00:20:02,800 Speaker 2: Pop podcast. You can check out all of our content. 353 00:20:02,840 --> 00:20:04,399 Speaker 2: I promise you you won't be too bored if you 354 00:20:04,480 --> 00:20:06,240 Speaker 2: go do that again. Thanks for everything,