1 00:00:01,240 --> 00:00:05,120 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,120 --> 00:00:08,879 Speaker 1: to the fundamentals of better deer hunting, presented by first Light, 3 00:00:09,240 --> 00:00:13,560 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:14,080 --> 00:00:18,640 Speaker 1: First Light, Go Farther, Stay Longer, and now your host 5 00:00:19,000 --> 00:00:19,880 Speaker 1: Tony Peterson. 6 00:00:20,200 --> 00:00:23,079 Speaker 2: Hey, everybody, welcome to the Wired to Hunt Foundation's podcast, 7 00:00:23,120 --> 00:00:24,840 Speaker 2: which has brought to you by first Light. I'm your host, 8 00:00:24,880 --> 00:00:27,280 Speaker 2: Tony Peterson. In today's episode is all about letting the 9 00:00:27,320 --> 00:00:29,920 Speaker 2: deer be your teachers while you just sit back and 10 00:00:30,040 --> 00:00:36,519 Speaker 2: absorb information from them. A lot of the hunting industry 11 00:00:36,600 --> 00:00:39,040 Speaker 2: is built on the idea that you can manipulate deer 12 00:00:39,080 --> 00:00:42,000 Speaker 2: behavior to your liking, or at least figure out some 13 00:00:42,120 --> 00:00:45,279 Speaker 2: way to predict exactly what they are gonna do. After all, 14 00:00:45,320 --> 00:00:48,239 Speaker 2: we scout like fiends, and we buy grunt tubes for 15 00:00:48,320 --> 00:00:51,640 Speaker 2: obvious reasons. But there is an intangible to deer hunting 16 00:00:51,640 --> 00:00:53,840 Speaker 2: that can't be bought or figured out solely by learning 17 00:00:53,920 --> 00:00:56,760 Speaker 2: to read sign This involves letting the deer tell you 18 00:00:56,800 --> 00:00:59,720 Speaker 2: what they do and then using that to your advantage, 19 00:01:00,080 --> 00:01:01,800 Speaker 2: which is what I'm going to talk about right now. 20 00:01:09,800 --> 00:01:12,200 Speaker 2: How many of you find folks have ever thrown frogs 21 00:01:12,240 --> 00:01:15,680 Speaker 2: for large mouth not real frogs, mind you, but fake frogs. 22 00:01:15,920 --> 00:01:18,480 Speaker 2: Frogs we used to just call scum frogs because that 23 00:01:18,560 --> 00:01:21,480 Speaker 2: was the only option, and boy were they rough compared 24 00:01:21,520 --> 00:01:23,560 Speaker 2: to the fake kermits that are on the market today. 25 00:01:23,880 --> 00:01:23,959 Speaker 1: Now. 26 00:01:24,000 --> 00:01:26,080 Speaker 2: If you have you know that it's about the most 27 00:01:26,080 --> 00:01:28,600 Speaker 2: exciting fishing you can do while staying in fresh water. 28 00:01:29,640 --> 00:01:33,840 Speaker 2: If you haven't, you're missing out. I love frog fishing, 29 00:01:34,040 --> 00:01:37,680 Speaker 2: but it's difficult for beginners, and sometimes difficult for guys 30 00:01:37,720 --> 00:01:39,880 Speaker 2: who've been doing it a long time and should be better. 31 00:01:40,400 --> 00:01:43,600 Speaker 2: This type of fishing involves tons of aquatic vegetation like 32 00:01:43,640 --> 00:01:46,039 Speaker 2: the lily pads and arrowhead and duckweed the bass would 33 00:01:46,080 --> 00:01:48,800 Speaker 2: hide under while waiting for an amphibious snack to venture 34 00:01:48,840 --> 00:01:53,280 Speaker 2: its way. This means heavy rods, heavy braided line, just, 35 00:01:53,480 --> 00:01:55,560 Speaker 2: you know, just to have a chance to winch a 36 00:01:55,560 --> 00:01:58,040 Speaker 2: fish out of the salad. When you get a blow up, 37 00:01:58,120 --> 00:02:00,720 Speaker 2: the odds are pretty good that eat bass will miss 38 00:02:00,720 --> 00:02:03,400 Speaker 2: your frog completely, or it'll eat it and spit it 39 00:02:03,440 --> 00:02:05,680 Speaker 2: out just as you're trying to set the hook. The 40 00:02:05,800 --> 00:02:09,359 Speaker 2: follow up cast in frog fishing is everything, and it's 41 00:02:09,360 --> 00:02:13,280 Speaker 2: something that is very, very difficult for newbies to get right. 42 00:02:14,080 --> 00:02:17,320 Speaker 2: This isn't because of accuracy entirely, although you do have 43 00:02:17,360 --> 00:02:18,960 Speaker 2: to be able to hit the blow up spot pretty 44 00:02:18,960 --> 00:02:22,040 Speaker 2: well and as quickly as you can. But this panic 45 00:02:22,200 --> 00:02:25,120 Speaker 2: that comes from it often leads to backlashes and swearing 46 00:02:25,440 --> 00:02:27,919 Speaker 2: because the window for a follow up is often pretty 47 00:02:27,919 --> 00:02:31,360 Speaker 2: short for whatever reason. The more time that passes, and 48 00:02:31,400 --> 00:02:34,000 Speaker 2: I'm talking seconds here, the more likely it is that 49 00:02:34,080 --> 00:02:37,079 Speaker 2: your fish will just vanish. Sometimes you want to throw 50 00:02:37,080 --> 00:02:39,320 Speaker 2: the same frog back in there, and sometimes you want 51 00:02:39,320 --> 00:02:41,840 Speaker 2: to give them a look at something else. I recently 52 00:02:41,840 --> 00:02:45,320 Speaker 2: frogfish with someone who has some experience doing it but 53 00:02:45,520 --> 00:02:48,000 Speaker 2: still is pretty young, and would miss a fish and 54 00:02:48,040 --> 00:02:50,959 Speaker 2: then ask me what to do. Sometimes I'd say, get 55 00:02:50,960 --> 00:02:53,440 Speaker 2: that kermit back in there right now, or I'd say 56 00:02:53,520 --> 00:02:56,160 Speaker 2: pick up that sinko rod and toss it into the blowhole. 57 00:02:56,639 --> 00:02:59,720 Speaker 2: Every time my fishing partner would question my advice, it 58 00:02:59,760 --> 00:03:03,200 Speaker 2: was frustrating because I couldn't explain why I felt one 59 00:03:03,240 --> 00:03:06,400 Speaker 2: approach was better than the other. And it changes from 60 00:03:06,440 --> 00:03:09,000 Speaker 2: fish to fish, sometimes in the span of a minute 61 00:03:09,080 --> 00:03:12,600 Speaker 2: or two, oftentimes in the same small weed bed. It's 62 00:03:12,639 --> 00:03:15,560 Speaker 2: a feel thing that you get after frog fishing a 63 00:03:15,639 --> 00:03:19,120 Speaker 2: whole lot in your life. It's the cumulative lessons of 64 00:03:19,280 --> 00:03:23,079 Speaker 2: hundreds and hundreds of fish doing this, but not that, that, 65 00:03:23,440 --> 00:03:26,400 Speaker 2: but not this. Over time, the bashes tell you what 66 00:03:26,440 --> 00:03:29,160 Speaker 2: your best odds are because their behavior falls into a 67 00:03:29,160 --> 00:03:32,720 Speaker 2: few different categories. It's not woodsmanship if it's fishing, so 68 00:03:32,760 --> 00:03:38,360 Speaker 2: maybe it's uh watersmanship. That doesn't seem right any hooters. 69 00:03:38,720 --> 00:03:41,480 Speaker 2: We are conditioned to believe that we can just understand 70 00:03:41,520 --> 00:03:44,640 Speaker 2: fish and game behavior, and we can to some extent. 71 00:03:45,160 --> 00:03:48,760 Speaker 2: We can, also, at least with white tails, curate situations 72 00:03:48,800 --> 00:03:51,119 Speaker 2: where they are highly likely to offer us up some 73 00:03:51,160 --> 00:03:54,240 Speaker 2: sort of predictable behavior. I guess you can do that 74 00:03:54,280 --> 00:03:56,200 Speaker 2: with fish too. I mean, if you went out to 75 00:03:56,200 --> 00:03:58,480 Speaker 2: a specific weedy point for a few weeks and through 76 00:03:58,520 --> 00:04:01,560 Speaker 2: in handfuls of injured minnows, eventually the fish would grow 77 00:04:01,600 --> 00:04:04,960 Speaker 2: real comfortable showing up to feed. Then after a few months, 78 00:04:05,000 --> 00:04:07,400 Speaker 2: if you were so inclined, you could catch the living 79 00:04:07,440 --> 00:04:09,920 Speaker 2: shit out of those fish because they wouldn't see it coming. 80 00:04:10,640 --> 00:04:12,920 Speaker 2: I don't know if that's a poor comparison to managing deer, 81 00:04:12,960 --> 00:04:15,480 Speaker 2: but it kind of feels right. I guess it's also 82 00:04:15,520 --> 00:04:18,240 Speaker 2: beside the point, though, because if enough bass can teach 83 00:04:18,320 --> 00:04:20,840 Speaker 2: us a lot about how they act in specific situations. 84 00:04:21,360 --> 00:04:24,920 Speaker 2: Enough deer can as well, and they do if we 85 00:04:25,000 --> 00:04:28,680 Speaker 2: pay attention. During a recent trip to northern Wisconsin, where 86 00:04:28,720 --> 00:04:32,039 Speaker 2: I divided my time between trying to bait bears, scout deer, 87 00:04:32,400 --> 00:04:35,440 Speaker 2: and catch a few bass and muskies, I found myself 88 00:04:35,480 --> 00:04:38,400 Speaker 2: in a random lake staring at a ridge. It was 89 00:04:38,440 --> 00:04:40,640 Speaker 2: just one of those spots that looked like white tails 90 00:04:40,640 --> 00:04:42,560 Speaker 2: would travel it, and while I tried to coax a 91 00:04:42,560 --> 00:04:45,280 Speaker 2: few large mouth from the pads, I thought about that 92 00:04:45,320 --> 00:04:48,000 Speaker 2: woods just up the shore from me. Then I heard 93 00:04:48,040 --> 00:04:50,920 Speaker 2: a splash, which caught my attention because it sounded like 94 00:04:50,960 --> 00:04:54,039 Speaker 2: a bass gulping a frog or more likely a dragonfly, 95 00:04:54,400 --> 00:04:56,599 Speaker 2: which I think is the key to great frog bites. 96 00:04:56,640 --> 00:04:59,600 Speaker 2: I just can't prove it. The splash didn't come from 97 00:04:59,600 --> 00:05:01,920 Speaker 2: a large though, it came from a dough that was 98 00:05:01,960 --> 00:05:04,320 Speaker 2: tucked under a dead fall standing in a foot of water. 99 00:05:05,120 --> 00:05:07,799 Speaker 2: She was the least concerned big woods deer I've ever met, 100 00:05:08,160 --> 00:05:10,440 Speaker 2: so I used my trolling motor to close the distance. 101 00:05:11,040 --> 00:05:13,599 Speaker 2: Then I watched her for twenty minutes while she fed 102 00:05:13,640 --> 00:05:16,320 Speaker 2: on lily pads. Now, if you don't believe that, go 103 00:05:16,360 --> 00:05:18,919 Speaker 2: on over to my Instagram account and check out the 104 00:05:18,960 --> 00:05:22,120 Speaker 2: reel I posted. I've never seen a deer actually eating 105 00:05:22,160 --> 00:05:24,800 Speaker 2: lily pads, let alone sticking her nose into the water 106 00:05:24,880 --> 00:05:27,120 Speaker 2: past her eyeballs to pull them out by the root. 107 00:05:28,080 --> 00:05:31,040 Speaker 2: It was really interesting to watch. And then a realization 108 00:05:31,240 --> 00:05:34,440 Speaker 2: hit me, like a freaking freight train. I had seen 109 00:05:34,480 --> 00:05:37,960 Speaker 2: deer at the water's edge or in the water all 110 00:05:38,040 --> 00:05:42,120 Speaker 2: week long. I see deer in lakes all of the time, 111 00:05:42,480 --> 00:05:44,919 Speaker 2: and every single time I've thought they were there for 112 00:05:45,000 --> 00:05:47,800 Speaker 2: a drink. Not once did it occur to me that 113 00:05:47,800 --> 00:05:51,960 Speaker 2: they would go full moose and eat aquatic vegetation. But 114 00:05:52,000 --> 00:05:55,760 Speaker 2: why not. I'd guess that lily pads have a different 115 00:05:55,839 --> 00:05:59,719 Speaker 2: nutrition profile than terrestrial vegetation, and it's pretty safe to 116 00:05:59,760 --> 00:06:01,760 Speaker 2: say that it would be a good way to stay 117 00:06:01,839 --> 00:06:05,200 Speaker 2: hydrated while feasting away if you're eating stuff that's growing 118 00:06:05,279 --> 00:06:08,240 Speaker 2: right in a big bowl of water. A one off 119 00:06:08,360 --> 00:06:10,719 Speaker 2: encounter with a dough eating something I didn't know dear 120 00:06:10,760 --> 00:06:13,880 Speaker 2: eight was cool, But on the drive home, another freight 121 00:06:13,920 --> 00:06:18,360 Speaker 2: train slammed into Mynothers, how important are lily pads to 122 00:06:18,480 --> 00:06:21,880 Speaker 2: Big Woods bucks? Do lily pads green up first or 123 00:06:21,920 --> 00:06:24,440 Speaker 2: stay green later in the fall when other food sources 124 00:06:24,680 --> 00:06:27,839 Speaker 2: brown up and yellow up and dry up. I honestly 125 00:06:27,839 --> 00:06:31,200 Speaker 2: don't know, but I'm interested in trying to figure that out. 126 00:06:31,960 --> 00:06:34,400 Speaker 2: Last year, over there, I watched a dough in August 127 00:06:34,440 --> 00:06:37,560 Speaker 2: eating raspberries with the intensity of a stoner sitting down 128 00:06:37,600 --> 00:06:39,880 Speaker 2: to an episode of South Park with a bag of 129 00:06:40,000 --> 00:06:43,279 Speaker 2: Cheetos and a big glass of chocolate milk. She went 130 00:06:43,360 --> 00:06:46,760 Speaker 2: to town on those raspberries, and it answered a question 131 00:06:46,880 --> 00:06:51,000 Speaker 2: of why I often see deer in that specific overgrown pasture. 132 00:06:52,080 --> 00:06:54,600 Speaker 2: I thought it was the apple trees, and it certainly 133 00:06:54,680 --> 00:06:58,039 Speaker 2: sometimes is, but it's more than that, you know. In 134 00:06:58,080 --> 00:07:00,279 Speaker 2: a few weeks after I saw that dough, my daughter 135 00:07:00,400 --> 00:07:02,919 Speaker 2: killed that bear over there that was chock full of 136 00:07:02,960 --> 00:07:05,960 Speaker 2: gray dogwood berries, and I have to assume that deer 137 00:07:06,000 --> 00:07:08,560 Speaker 2: mao down on them when they ripen as well. I 138 00:07:08,680 --> 00:07:10,560 Speaker 2: just don't see a situation where a bear would eat 139 00:07:10,600 --> 00:07:13,800 Speaker 2: him and a deer wouldn't. I've preached the woodsmanship game 140 00:07:13,840 --> 00:07:16,040 Speaker 2: a lot, and I hear it from a few hunters 141 00:07:16,080 --> 00:07:18,760 Speaker 2: who I really respect, but it's always sort of a 142 00:07:18,800 --> 00:07:21,800 Speaker 2: blanket statement that might ring hollow for a lot of hunters. 143 00:07:22,400 --> 00:07:25,040 Speaker 2: What does it even mean? And how does that matter 144 00:07:25,080 --> 00:07:27,080 Speaker 2: to someone looking to level up their white tail game. 145 00:07:27,880 --> 00:07:30,320 Speaker 2: I can't answer that specifically for anyone else, but I 146 00:07:30,360 --> 00:07:33,160 Speaker 2: know one thing. The more deer that I watch, the 147 00:07:33,160 --> 00:07:35,920 Speaker 2: more of my questions get answered. And then the more 148 00:07:36,040 --> 00:07:38,520 Speaker 2: questions come up that I didn't see coming that I 149 00:07:38,560 --> 00:07:41,240 Speaker 2: don't have an answer to. I look at this kind 150 00:07:41,280 --> 00:07:44,680 Speaker 2: of like good dog trainers. You might have a trainer 151 00:07:44,680 --> 00:07:48,520 Speaker 2: who handles a dozen well bred pointers a year. That's 152 00:07:48,560 --> 00:07:51,320 Speaker 2: freaking great. But that trainer is starting with a good 153 00:07:51,400 --> 00:07:54,400 Speaker 2: source and has more time to devote to each dog 154 00:07:54,440 --> 00:07:56,720 Speaker 2: than a lot of other trainers. He's going to get 155 00:07:56,800 --> 00:07:59,640 Speaker 2: really good at training well bred pointers, but might struggle 156 00:07:59,640 --> 00:08:01,320 Speaker 2: when a re triever shows up at the kennel or 157 00:08:01,360 --> 00:08:03,720 Speaker 2: a pointer does that just doesn't have the best blood. 158 00:08:04,480 --> 00:08:06,440 Speaker 2: But then you have these trainers who take on all 159 00:08:06,520 --> 00:08:09,440 Speaker 2: kinds of dogs. They get experience with a wide range 160 00:08:09,480 --> 00:08:13,800 Speaker 2: of breeds, a wide range of socialization, a wide range 161 00:08:13,800 --> 00:08:17,360 Speaker 2: of bloodlines, and a wide range of owners who have 162 00:08:17,440 --> 00:08:20,640 Speaker 2: had big time influence on their dogs in a huge 163 00:08:20,720 --> 00:08:24,360 Speaker 2: variety of ways. They deal with outliers all the time, 164 00:08:24,720 --> 00:08:27,800 Speaker 2: but also just expand their understanding of general dog behavior 165 00:08:28,120 --> 00:08:31,560 Speaker 2: and general dog owner behavior in a way that allows 166 00:08:31,600 --> 00:08:34,800 Speaker 2: them to understand what path to put their clientele on. Now, 167 00:08:34,840 --> 00:08:50,520 Speaker 2: I guess that's dogsmanship. I know, I'll stop. But truthfully, 168 00:08:51,040 --> 00:08:53,800 Speaker 2: how this relates to deer is that if your exposure 169 00:08:53,840 --> 00:08:56,640 Speaker 2: to deer is through trail cameras and hunting encounters, you're 170 00:08:56,679 --> 00:08:59,720 Speaker 2: training well bred pointers and not very many of them. 171 00:09:00,160 --> 00:09:01,920 Speaker 2: But if you get into the woods to read sign 172 00:09:02,240 --> 00:09:04,240 Speaker 2: and have all of those encounters with deer that just 173 00:09:04,320 --> 00:09:06,839 Speaker 2: happen when you're in the woods with them. Now you're 174 00:09:06,880 --> 00:09:10,560 Speaker 2: working with pointers and retrievers. Add in some long range glassing. 175 00:09:10,880 --> 00:09:13,720 Speaker 2: Now you're training shelter dogs that might be totally neurotic 176 00:09:13,800 --> 00:09:17,960 Speaker 2: lunatics or resource guarding nightmares or whatever. The key to 177 00:09:17,960 --> 00:09:20,559 Speaker 2: this is to watch deer whenever you can encounter them, 178 00:09:20,640 --> 00:09:23,120 Speaker 2: be with them, be where they live. I mean that 179 00:09:23,520 --> 00:09:25,600 Speaker 2: when you're on stand in September and you have that 180 00:09:25,679 --> 00:09:27,319 Speaker 2: dough with a fall and walk out in the far 181 00:09:27,400 --> 00:09:30,240 Speaker 2: corner of the beans, that might not interest you very much, 182 00:09:30,640 --> 00:09:35,120 Speaker 2: but what she does should interest you. Get those binos 183 00:09:35,120 --> 00:09:38,440 Speaker 2: to your eyes and watch her use that to your advantage. 184 00:09:38,840 --> 00:09:42,480 Speaker 2: Watch how she crosses the field, how she observes the field, 185 00:09:42,920 --> 00:09:45,199 Speaker 2: what she does when another deer starts to come out 186 00:09:45,240 --> 00:09:48,000 Speaker 2: of the wood lot. How long does she spend out there? 187 00:09:48,760 --> 00:09:51,280 Speaker 2: Last year, I watched a really good buck cross a 188 00:09:51,360 --> 00:09:54,480 Speaker 2: wide swath of sage grass in North Dakota before he 189 00:09:54,600 --> 00:09:57,800 Speaker 2: eventually waded through a river and then covered another mile 190 00:09:57,840 --> 00:10:00,280 Speaker 2: of grassland to bed in a chunk of brush a 191 00:10:00,400 --> 00:10:03,520 Speaker 2: rocky cliff. Now, I've seen deer do that before in 192 00:10:03,520 --> 00:10:05,839 Speaker 2: that spot, and I hope to watch them do it again. 193 00:10:06,920 --> 00:10:09,120 Speaker 2: I've actually killed a few deer that have done that, 194 00:10:09,480 --> 00:10:11,600 Speaker 2: and I always think about the gift it is to 195 00:10:11,640 --> 00:10:14,160 Speaker 2: be able to watch a deer walk across two miles 196 00:10:14,200 --> 00:10:18,240 Speaker 2: of his territory from an elevated position. So think about 197 00:10:18,280 --> 00:10:21,360 Speaker 2: that for a second. If I were to run cameras 198 00:10:21,360 --> 00:10:23,560 Speaker 2: for that deer, or at least that buck and other 199 00:10:23,600 --> 00:10:26,200 Speaker 2: bucks that travel the same route, I would get a 200 00:10:26,200 --> 00:10:28,600 Speaker 2: snapshot of them, you know, coming down on the river 201 00:10:28,640 --> 00:10:31,400 Speaker 2: and crossing it, or passing through a patch of timber. 202 00:10:31,880 --> 00:10:35,120 Speaker 2: That's valuable, especially for the times I can't be there 203 00:10:35,160 --> 00:10:38,400 Speaker 2: to glass. But watching how he walks across the landscape 204 00:10:38,440 --> 00:10:40,280 Speaker 2: shows me not only what he does to get from 205 00:10:40,320 --> 00:10:44,760 Speaker 2: two seemingly unrelated points, but all of the ambush sites 206 00:10:44,760 --> 00:10:47,800 Speaker 2: he passes on the way. This is the gift that 207 00:10:47,920 --> 00:10:51,800 Speaker 2: is western white tails, but Midwestern and Eastern and southern 208 00:10:51,880 --> 00:10:54,079 Speaker 2: deer often don't live where you can post up and 209 00:10:54,120 --> 00:10:56,319 Speaker 2: put your eye to a spot or to dial them in. 210 00:10:57,160 --> 00:11:00,800 Speaker 2: This makes every encounter with deer valuable, as the confines 211 00:11:00,800 --> 00:11:04,200 Speaker 2: are tighter and the opportunities for long duration observation just 212 00:11:04,240 --> 00:11:07,520 Speaker 2: don't exist nearly as much. But is that an excuse 213 00:11:07,559 --> 00:11:10,640 Speaker 2: to not pay attention. I don't think so. I know 214 00:11:10,720 --> 00:11:12,440 Speaker 2: that one of the things that has helped me kill 215 00:11:12,440 --> 00:11:15,040 Speaker 2: big woods deer is simply by watching them whenever I 216 00:11:15,160 --> 00:11:18,080 Speaker 2: can and just paying attention to every encounter while trying 217 00:11:18,120 --> 00:11:21,160 Speaker 2: to tie that into the sign I've found. I'll give 218 00:11:21,160 --> 00:11:24,040 Speaker 2: you an example here. I've talked about that encounter my 219 00:11:24,160 --> 00:11:26,120 Speaker 2: daughter and I had on public last year with a 220 00:11:26,120 --> 00:11:29,120 Speaker 2: buck that was probably pushing one thirty. The whole thing 221 00:11:29,200 --> 00:11:31,880 Speaker 2: started with a midday scouting trip which led to us 222 00:11:31,920 --> 00:11:34,040 Speaker 2: finding a lot of fresh rubs and scrapes on an 223 00:11:34,040 --> 00:11:37,280 Speaker 2: old logging road. They were visible from a gravel road, 224 00:11:37,559 --> 00:11:40,280 Speaker 2: which allowed me to track check it. While it wasn't 225 00:11:40,320 --> 00:11:43,200 Speaker 2: pounded with sign, it showed enough tracks that I knew 226 00:11:43,200 --> 00:11:46,000 Speaker 2: deer were crossing the road quite a bit, which made 227 00:11:46,040 --> 00:11:48,800 Speaker 2: the scrapes and rubs just make more sense to me. 228 00:11:49,880 --> 00:11:52,280 Speaker 2: Roads are just a part of the deer's world, and 229 00:11:52,360 --> 00:11:55,800 Speaker 2: when and where they cross is usually not random, and 230 00:11:55,920 --> 00:11:59,080 Speaker 2: sightings from the road can teach you a lot. So 231 00:11:59,200 --> 00:12:02,400 Speaker 2: right there we had two data points and we hadn't 232 00:12:02,400 --> 00:12:04,960 Speaker 2: seen a deer yet. That night at the cabin, while 233 00:12:04,960 --> 00:12:08,080 Speaker 2: planning our morning hunt, I noticed a hayfield on private 234 00:12:08,200 --> 00:12:10,680 Speaker 2: land half a mile away that was almost directly in 235 00:12:10,800 --> 00:12:13,840 Speaker 2: line with that sign, and you know, kind of the 236 00:12:13,880 --> 00:12:16,280 Speaker 2: whole line of travel where they crossed the gravel road. 237 00:12:17,000 --> 00:12:19,520 Speaker 2: That was the third data point, and it really started 238 00:12:19,559 --> 00:12:22,240 Speaker 2: to tie the whole thing together. When we slipped in 239 00:12:22,280 --> 00:12:24,600 Speaker 2: well before first light, we walked up on a lone 240 00:12:24,720 --> 00:12:28,240 Speaker 2: dough fon who happened to spook, but also came back 241 00:12:28,320 --> 00:12:30,959 Speaker 2: later to browse her way past us. As we sat, 242 00:12:31,640 --> 00:12:34,440 Speaker 2: she was locked onto that area, and we watched her 243 00:12:34,480 --> 00:12:37,440 Speaker 2: put on a browse clinic, which made even more sense 244 00:12:37,480 --> 00:12:40,559 Speaker 2: because old logging roads are basically travel roads with different 245 00:12:40,600 --> 00:12:43,760 Speaker 2: food sources than much of the surrounding timber, especially if 246 00:12:43,760 --> 00:12:47,760 Speaker 2: the timber harvest activity didn't happen too many years ago. Now, 247 00:12:47,760 --> 00:12:50,360 Speaker 2: When that big buck came wandering back from the Hayfield 248 00:12:50,400 --> 00:12:53,600 Speaker 2: an hour into the morning. He nearly made a huge mistake, 249 00:12:54,240 --> 00:12:55,720 Speaker 2: even though we only got to see him for a 250 00:12:55,720 --> 00:12:58,319 Speaker 2: few seconds. He showed us something that I fully intend 251 00:12:58,400 --> 00:13:02,320 Speaker 2: to use this year, the corner of the woods instead 252 00:13:02,320 --> 00:13:04,920 Speaker 2: of traveling down the full length of the logging road 253 00:13:05,000 --> 00:13:08,440 Speaker 2: to a small landing. Why he did that at that 254 00:13:08,679 --> 00:13:12,640 Speaker 2: time was a total mystery until I walked that route 255 00:13:12,760 --> 00:13:14,840 Speaker 2: and saw several rubs we had missed on our first 256 00:13:14,840 --> 00:13:18,160 Speaker 2: scouting mission there. This spring, I walked that route again 257 00:13:18,600 --> 00:13:21,040 Speaker 2: and followed it to a creek bottom that is just 258 00:13:21,120 --> 00:13:26,719 Speaker 2: surrounded by benchi goodness and ideal bedding cover more data points. 259 00:13:27,200 --> 00:13:28,760 Speaker 2: If I had been able to run a camera for 260 00:13:28,840 --> 00:13:31,439 Speaker 2: those deer, I certainly would have gotten some pictures and 261 00:13:31,520 --> 00:13:34,320 Speaker 2: that would have been valuable, but I probably wouldn't have 262 00:13:34,440 --> 00:13:36,760 Speaker 2: learned about how they cut that corner to take a 263 00:13:36,760 --> 00:13:39,600 Speaker 2: shorter route to the thick stuff along the creek. The 264 00:13:39,640 --> 00:13:43,240 Speaker 2: buck had to teach us that despite leaving tons of 265 00:13:43,280 --> 00:13:46,040 Speaker 2: sign and tons of tracks in that area, and if 266 00:13:46,040 --> 00:13:49,240 Speaker 2: that little fawn hadn't showed us what the browse situation 267 00:13:49,440 --> 00:13:51,839 Speaker 2: was like, we probably wouldn't have put the whole thing 268 00:13:51,880 --> 00:13:57,839 Speaker 2: together either. The cumulative effect of watching deer can't quite 269 00:13:57,840 --> 00:14:00,520 Speaker 2: be summed up effectively as long as as we do 270 00:14:00,600 --> 00:14:03,800 Speaker 2: our job with scouting. That final part is what teaches 271 00:14:03,920 --> 00:14:07,199 Speaker 2: us the most about deer behavior, and it comes directly 272 00:14:07,200 --> 00:14:10,120 Speaker 2: from the deer. There is no other source for it, 273 00:14:10,160 --> 00:14:13,720 Speaker 2: although trail cameras certainly help. Now you can listen to 274 00:14:13,760 --> 00:14:16,280 Speaker 2: the best deer hunters drone on and on forever about 275 00:14:16,280 --> 00:14:19,160 Speaker 2: how they kill bucks, and there will certainly be valuable 276 00:14:19,240 --> 00:14:21,760 Speaker 2: to that too, But that doesn't replace your time in 277 00:14:21,760 --> 00:14:24,800 Speaker 2: the woods and your time spent watching deer in your areos. 278 00:14:25,120 --> 00:14:27,880 Speaker 2: It just doesn't. So how can you be a good 279 00:14:27,960 --> 00:14:31,280 Speaker 2: student to the white tail right now? The easiest way 280 00:14:31,320 --> 00:14:34,120 Speaker 2: is just to pay better attention. Do you often see 281 00:14:34,160 --> 00:14:36,880 Speaker 2: bucks crossing from one waterway to another on your way 282 00:14:36,880 --> 00:14:40,320 Speaker 2: to work in the morning. What are they doing if 283 00:14:40,360 --> 00:14:42,720 Speaker 2: they aren't where you can hunt, which is pretty likely? 284 00:14:43,040 --> 00:14:45,200 Speaker 2: Is there anything you can draw from that to apply 285 00:14:45,240 --> 00:14:48,400 Speaker 2: to the spots that you can hunt? There? Probably is? 286 00:14:49,080 --> 00:14:51,600 Speaker 2: How about the dough group you always see eating apples 287 00:14:51,600 --> 00:14:55,160 Speaker 2: this time here? Anything actionable there? Maybe it's nothing more 288 00:14:55,200 --> 00:14:57,840 Speaker 2: than a possible explanation for why your trail cameras have 289 00:14:57,880 --> 00:15:01,320 Speaker 2: been pretty dead lately. The reason for everything they do. 290 00:15:01,680 --> 00:15:03,720 Speaker 2: You just sometimes need to gather up as many data 291 00:15:03,760 --> 00:15:07,120 Speaker 2: points as possible to draw a real conclusion. Now, while 292 00:15:07,160 --> 00:15:09,720 Speaker 2: I realize this isn't groundbreaking, the takeaway I want to 293 00:15:09,800 --> 00:15:13,120 Speaker 2: leave you with is this. The more deer you encounter, 294 00:15:13,240 --> 00:15:15,720 Speaker 2: the more you watch them in real time, the more 295 00:15:15,760 --> 00:15:18,000 Speaker 2: you jump them while scouting some random part of your 296 00:15:18,040 --> 00:15:21,240 Speaker 2: farm that you usually don't pay attention to, the more 297 00:15:21,280 --> 00:15:24,320 Speaker 2: they're going to teach you something. They just will. They'll 298 00:15:24,320 --> 00:15:28,120 Speaker 2: help you understand general deer behavior better, which is always 299 00:15:28,160 --> 00:15:30,640 Speaker 2: a huge plus. But then you'll see a dough eating 300 00:15:30,680 --> 00:15:33,600 Speaker 2: lily pads or gnommbing on some raspberries, or you'll see 301 00:15:33,600 --> 00:15:35,960 Speaker 2: your target buck half a mile out in a soybean 302 00:15:36,000 --> 00:15:39,160 Speaker 2: field suddenly stand up for a mid afternoon snack, and 303 00:15:39,240 --> 00:15:42,160 Speaker 2: what you knew about deer will become something different because 304 00:15:42,200 --> 00:15:46,080 Speaker 2: you now have more answers and more questions. If you're 305 00:15:46,120 --> 00:15:50,120 Speaker 2: wondering how to facilitate this, consider two options. Force yourself 306 00:15:50,160 --> 00:15:52,080 Speaker 2: to pay attention to the deer you do encounter in 307 00:15:52,120 --> 00:15:55,600 Speaker 2: your everyday life, which should include some scouting, of course, 308 00:15:56,040 --> 00:15:58,800 Speaker 2: But then consider doing something a little different. I know 309 00:15:58,840 --> 00:16:00,360 Speaker 2: I say this all the time, but I mean it. 310 00:16:00,640 --> 00:16:02,840 Speaker 2: If you want to get better at this stuff, scout 311 00:16:02,880 --> 00:16:06,520 Speaker 2: where you normally wouldn't, scout when you normally wouldn't, and 312 00:16:06,560 --> 00:16:08,920 Speaker 2: try to put yourself in a position to not do 313 00:16:09,000 --> 00:16:12,800 Speaker 2: what you usually do. This is really the difference maker 314 00:16:12,840 --> 00:16:14,880 Speaker 2: between climbing into the box blind to look at the 315 00:16:14,880 --> 00:16:17,920 Speaker 2: food plot again versus walking into the oak ridge with 316 00:16:18,000 --> 00:16:20,720 Speaker 2: a saddle and some sticks. You can learn a lot 317 00:16:20,720 --> 00:16:23,120 Speaker 2: from both, and the more you do both, the better 318 00:16:23,160 --> 00:16:25,720 Speaker 2: you'll be. At deer hunting in general, The more we 319 00:16:25,880 --> 00:16:28,560 Speaker 2: default to what we think we know, the less likely 320 00:16:28,800 --> 00:16:31,440 Speaker 2: we are to learn anything new because we aren't generally 321 00:16:31,520 --> 00:16:34,400 Speaker 2: open to being wrong, or at least not as informed 322 00:16:34,440 --> 00:16:37,440 Speaker 2: as we'd like. Find a way to let the deer 323 00:16:37,480 --> 00:16:39,560 Speaker 2: teach you about their lives, and you will have a 324 00:16:39,640 --> 00:16:42,960 Speaker 2: leg up on most hunters. That's the key to filling 325 00:16:43,000 --> 00:16:45,760 Speaker 2: more tags, and damn near a requirement if you want 326 00:16:45,760 --> 00:16:49,440 Speaker 2: to kill more mature bucks. Think about that and think 327 00:16:49,480 --> 00:16:51,200 Speaker 2: about coming back next week, because I'm going to talk 328 00:16:51,200 --> 00:16:53,240 Speaker 2: about what happens when bucks shed their velvet and go 329 00:16:53,320 --> 00:16:55,840 Speaker 2: hard antlered, but what that means to us no matter 330 00:16:55,920 --> 00:16:59,800 Speaker 2: when our bow opener is. That's it for this week. 331 00:16:59,800 --> 00:17:01,720 Speaker 2: I'm Tony Peterson and This has been the Wire to 332 00:17:01,800 --> 00:17:05,359 Speaker 2: Hunt Foundation's podcast, which is brought to you by First Light. 333 00:17:06,040 --> 00:17:09,320 Speaker 2: As always, thank you so much for your support all 334 00:17:09,400 --> 00:17:11,600 Speaker 2: of us here at Mediatter. We truly appreciate it. You 335 00:17:11,600 --> 00:17:13,800 Speaker 2: guys showed up huge for our season opener sale a 336 00:17:13,800 --> 00:17:18,040 Speaker 2: little bit ago. You've always been there. If you need 337 00:17:18,080 --> 00:17:20,439 Speaker 2: more content, if you're here because you're like, I got 338 00:17:20,480 --> 00:17:23,080 Speaker 2: a learner, I need to be entertained, what do you got, Well, 339 00:17:23,119 --> 00:17:29,280 Speaker 2: we have a lot. The medeater dot com has recipes, articles, films, 340 00:17:30,240 --> 00:17:34,560 Speaker 2: tons of podcasts on there. We drop new content every day. 341 00:17:34,640 --> 00:17:37,200 Speaker 2: We have some of the best writers on staff right 342 00:17:37,200 --> 00:17:40,280 Speaker 2: now covering the latest issues in the outdoors. They're getting 343 00:17:40,280 --> 00:17:41,840 Speaker 2: the scoop on all kinds of stuff. I don't know 344 00:17:41,880 --> 00:17:44,240 Speaker 2: how they do it, But we also have just peer 345 00:17:44,359 --> 00:17:49,480 Speaker 2: entertainment and peer education and everything in between, fishing, hunting, 346 00:17:49,480 --> 00:17:51,800 Speaker 2: and cooking, you name it, go check it out at 347 00:17:51,840 --> 00:17:57,680 Speaker 2: the medeater dot com