1 00:00:01,200 --> 00:00:05,000 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,000 --> 00:00:08,520 Speaker 1: to the fundamentals better dear hunting, presented by first Light, 3 00:00:08,680 --> 00:00:12,719 Speaker 1: creating proven versatile hunting apparel through the stand Saddler Blind, 4 00:00:13,039 --> 00:00:17,040 Speaker 1: First Light, Go Farther, Stay Longer, and now your host 5 00:00:17,280 --> 00:00:20,960 Speaker 1: Tony Peterson. Hey, everybody, welcome to the wire to Hunt 6 00:00:20,960 --> 00:00:23,239 Speaker 1: Foundations podcast, which is brought to you by First Light. 7 00:00:23,440 --> 00:00:26,520 Speaker 1: I'm your host, Tony Peterson, and today's episode is all 8 00:00:26,520 --> 00:00:30,200 Speaker 1: about how to figure out where bucks live and more importantly, 9 00:00:30,720 --> 00:00:43,080 Speaker 1: where they like to travel. Listen, it doesn't matter if 10 00:00:43,080 --> 00:00:46,120 Speaker 1: you run a thousand trail cameras and you scout, you 11 00:00:46,159 --> 00:00:48,760 Speaker 1: know every day of your life. There's just going to 12 00:00:48,800 --> 00:00:52,040 Speaker 1: be aspects of a buck's life that are just not 13 00:00:52,120 --> 00:00:55,400 Speaker 1: available to you. This is true even for the deer 14 00:00:55,440 --> 00:00:58,760 Speaker 1: that are raised on sweet properties that are designed to 15 00:00:58,800 --> 00:01:02,440 Speaker 1: keep bucks around. And granted, in that scenario, there are 16 00:01:02,480 --> 00:01:05,480 Speaker 1: quite a few less secrets than there are. Say on 17 00:01:05,760 --> 00:01:08,679 Speaker 1: I don't know public land in Georgia or Wisconsin or wherever. 18 00:01:09,160 --> 00:01:12,720 Speaker 1: The truth is, bucks do what they do, so we 19 00:01:12,760 --> 00:01:15,800 Speaker 1: won't know what they do, and our best bet to 20 00:01:15,840 --> 00:01:18,880 Speaker 1: figure out what they do is to scout them with 21 00:01:18,920 --> 00:01:21,320 Speaker 1: an eye toward what we are missing. How's that for 22 00:01:21,400 --> 00:01:25,480 Speaker 1: a word salad tasty? Anyway, this whole episode is about 23 00:01:25,480 --> 00:01:27,280 Speaker 1: how to figure out where bucks spend most of their 24 00:01:27,280 --> 00:01:29,920 Speaker 1: time so you can be there this fall when they 25 00:01:29,959 --> 00:01:42,800 Speaker 1: slip up and move in the daylight. If you head 26 00:01:42,800 --> 00:01:46,360 Speaker 1: on over to northern Africa Egypt, to be more precise, 27 00:01:46,840 --> 00:01:49,440 Speaker 1: you'd see that the Pyramids of Giza are the premier 28 00:01:49,480 --> 00:01:53,960 Speaker 1: tourist attraction. These structures, built like forty five hundred years ago, 29 00:01:54,360 --> 00:01:57,400 Speaker 1: have been a source of awe for humans for a 30 00:01:57,480 --> 00:02:01,440 Speaker 1: long long time. We still don't really know how they 31 00:02:01,520 --> 00:02:05,000 Speaker 1: built them, and theories range from thousands and thousands of 32 00:02:05,000 --> 00:02:07,880 Speaker 1: workers building massive ramps and pulley systems to cut and 33 00:02:07,920 --> 00:02:11,720 Speaker 1: move the giant stones, to help from other worldly visitors 34 00:02:12,240 --> 00:02:15,119 Speaker 1: insert crazy hair guy. I'm not saying it was aliens, 35 00:02:15,120 --> 00:02:19,240 Speaker 1: but it was definitely aliens meme here. While some of 36 00:02:19,280 --> 00:02:23,160 Speaker 1: the construction aspects are a tantalizing mystery, it's safe to 37 00:02:23,240 --> 00:02:26,800 Speaker 1: say that the pyramids are just freaking cool. They've also 38 00:02:26,840 --> 00:02:31,760 Speaker 1: been studied for a long long time. We know that 39 00:02:31,800 --> 00:02:35,000 Speaker 1: they were built as tombs, which makes sense since Egypt's 40 00:02:35,040 --> 00:02:38,639 Speaker 1: pharaohs fully expected that once they'd reached the afterlife, they'd 41 00:02:38,639 --> 00:02:42,440 Speaker 1: become gods. The pyramids are also a treasure trove of 42 00:02:42,639 --> 00:02:47,280 Speaker 1: art and explanations for a life at that time. There's 43 00:02:47,320 --> 00:02:51,200 Speaker 1: scenes of farming and religious rituals, and livestock tending and 44 00:02:51,240 --> 00:02:54,280 Speaker 1: even fishing can be found in the walls and pictographs 45 00:02:54,280 --> 00:02:59,240 Speaker 1: and hieroglyphics. These stone structures provide an amazing glimpse into past. 46 00:03:00,280 --> 00:03:05,320 Speaker 1: They also keep revealing their secrets. In early March, it 47 00:03:05,360 --> 00:03:08,920 Speaker 1: was revealed that the discovery of a hidden, unfinished corridor 48 00:03:09,040 --> 00:03:13,920 Speaker 1: had been made through the use of non invasive scanning technology. Essentially, 49 00:03:14,440 --> 00:03:19,440 Speaker 1: scientists use infrared thermography, cosmic ray imaging, and three D 50 00:03:19,600 --> 00:03:24,360 Speaker 1: simulations to look through the pyramids. What they found in 51 00:03:24,440 --> 00:03:27,240 Speaker 1: early March was that they'd previously missed a thirty foot 52 00:03:27,280 --> 00:03:30,280 Speaker 1: long corridor that is located not far from the main 53 00:03:30,360 --> 00:03:34,360 Speaker 1: interests of the Great Pyramid of Giza. Now, while the 54 00:03:34,400 --> 00:03:37,920 Speaker 1: Great Pyramid of Giza isn't small, it measures about four 55 00:03:38,000 --> 00:03:40,280 Speaker 1: hundred and sixty feet tall with a base of about 56 00:03:40,280 --> 00:03:43,440 Speaker 1: seven hundred and fifty six square feet, it's not so 57 00:03:43,480 --> 00:03:46,960 Speaker 1: big that, after a couple hundred years of serious scientific scrutiny, 58 00:03:47,160 --> 00:03:50,160 Speaker 1: you'd expect there to be too many secret chambers left uncovered. 59 00:03:50,200 --> 00:03:53,640 Speaker 1: This isn't Harry Potter here, but they are still finding them. 60 00:03:54,280 --> 00:03:56,520 Speaker 1: And that, my friends, is a good lesson for all 61 00:03:56,560 --> 00:04:00,440 Speaker 1: of us deer hunters, because you can look, use the 62 00:04:00,480 --> 00:04:04,960 Speaker 1: best newest technology, and you're still going to miss things. 63 00:04:05,120 --> 00:04:08,000 Speaker 1: What's worse is you think you might have the whole 64 00:04:08,040 --> 00:04:11,880 Speaker 1: thing dialed. I promise you. Over there in that hot 65 00:04:11,960 --> 00:04:15,760 Speaker 1: African sun, there were some archaeologists who said with conviction 66 00:04:16,160 --> 00:04:18,520 Speaker 1: that there were no chambers left to be discovered in 67 00:04:18,560 --> 00:04:22,800 Speaker 1: the Great Pyramid, and they were obviously wrong. We often 68 00:04:23,000 --> 00:04:26,440 Speaker 1: think like that as deer hunters. We say, well, I 69 00:04:26,440 --> 00:04:29,279 Speaker 1: don't know. They feed here, they sleep the day away there, 70 00:04:29,640 --> 00:04:32,680 Speaker 1: and the space between is where they travel. And it 71 00:04:32,760 --> 00:04:35,680 Speaker 1: can be that simple on paper, but it rarely plays 72 00:04:35,680 --> 00:04:40,240 Speaker 1: out that way in real life. Conditions change, hunting, pressure 73 00:04:40,279 --> 00:04:43,440 Speaker 1: influences movement, and deer have enough free will to walk 74 00:04:43,480 --> 00:04:46,040 Speaker 1: one way to day in a different way tomorrow, and 75 00:04:46,120 --> 00:04:49,200 Speaker 1: they might not even know why. But there are patterns 76 00:04:49,200 --> 00:04:52,440 Speaker 1: to their behavior, just like there are patterns to our behavior. 77 00:04:52,839 --> 00:04:56,839 Speaker 1: And I don't mean them as individuals, although that also 78 00:04:56,880 --> 00:05:00,480 Speaker 1: certainly holds true. What a buck does today very well 79 00:05:00,600 --> 00:05:02,839 Speaker 1: might do tomorrow. I think this is one of those 80 00:05:02,880 --> 00:05:04,840 Speaker 1: things in deer hunting that we often get wrong, though, 81 00:05:05,279 --> 00:05:08,120 Speaker 1: which is that we think of behavior in terms of 82 00:05:08,160 --> 00:05:11,720 Speaker 1: the individual. This probably has a lot to do with 83 00:05:11,760 --> 00:05:15,280 Speaker 1: the one buck hunt mentality that is all the rage 84 00:05:15,360 --> 00:05:18,760 Speaker 1: right now and listen. As much as I personally feel 85 00:05:18,800 --> 00:05:21,520 Speaker 1: that the hit list name every buck something stupid type 86 00:05:21,520 --> 00:05:24,320 Speaker 1: of hunting is a little bit cringey, I also think 87 00:05:24,320 --> 00:05:26,880 Speaker 1: there's a lot of value in learning an individual bucks behavior, 88 00:05:27,800 --> 00:05:30,000 Speaker 1: but I think to get better as a hunter, learning 89 00:05:30,040 --> 00:05:35,000 Speaker 1: what bucks plural do is way way better. I want 90 00:05:35,000 --> 00:05:36,840 Speaker 1: to give you two examples of this to kind of 91 00:05:36,839 --> 00:05:40,240 Speaker 1: frame my whole thought process up here. I've talked a 92 00:05:40,240 --> 00:05:43,320 Speaker 1: few times about bucks I've bumped that have come back 93 00:05:43,360 --> 00:05:46,120 Speaker 1: through within a pretty short period of time. The first 94 00:05:46,160 --> 00:05:48,080 Speaker 1: time this happened to me, it was two bucks better 95 00:05:48,120 --> 00:05:50,640 Speaker 1: than a ridge as far back on a property in 96 00:05:50,680 --> 00:05:53,520 Speaker 1: southeastern Minnesota as I could go, and still beyond that 97 00:05:53,600 --> 00:05:56,760 Speaker 1: landowner's property. I was headed in to hang and hunt 98 00:05:56,800 --> 00:05:59,159 Speaker 1: over a natural seep on a bluff side that I 99 00:05:59,160 --> 00:06:02,600 Speaker 1: had found while spring scouting. The two deer I jump 100 00:06:02,800 --> 00:06:05,520 Speaker 1: both look like pretty good bucks, and after I set up, 101 00:06:05,839 --> 00:06:09,080 Speaker 1: the first two deer I saw were those bucks coming back, 102 00:06:09,120 --> 00:06:12,080 Speaker 1: and they were indeed pretty good, like one twenty and 103 00:06:12,120 --> 00:06:15,160 Speaker 1: a one forty type of buck, which you know, at 104 00:06:15,200 --> 00:06:18,919 Speaker 1: that time was huge to me. A fast forward a 105 00:06:18,960 --> 00:06:20,800 Speaker 1: whole lot of years, and the last time I drew 106 00:06:20,800 --> 00:06:22,560 Speaker 1: an Iowa tag, I bumped a couple of doughs in 107 00:06:22,600 --> 00:06:24,640 Speaker 1: a good buck looking for a place to set up, 108 00:06:25,279 --> 00:06:27,440 Speaker 1: And not long after I did set up, the first 109 00:06:27,480 --> 00:06:29,400 Speaker 1: year to come back was the buck, and he was 110 00:06:29,480 --> 00:06:33,240 Speaker 1: big enough to burn an Iowa tag on. Dear, behavior 111 00:06:33,360 --> 00:06:38,760 Speaker 1: transcends the individual, just as human behavior transcends the individual. 112 00:06:39,880 --> 00:06:42,280 Speaker 1: Now you know, we all know the bump and dump 113 00:06:42,320 --> 00:06:44,839 Speaker 1: thing that people talk about with bucks, but that's a 114 00:06:45,160 --> 00:06:47,520 Speaker 1: luck of the draw type of encounter. Honestly, most of 115 00:06:47,520 --> 00:06:51,520 Speaker 1: the time, where bucks walk and where they live is 116 00:06:51,640 --> 00:06:54,160 Speaker 1: far more reliable if you can figure it out. So 117 00:06:54,240 --> 00:06:57,680 Speaker 1: let me give you another example. Growing up and after 118 00:06:57,720 --> 00:07:01,360 Speaker 1: I got into the hunting industry, I noticed an awful 119 00:07:01,400 --> 00:07:05,040 Speaker 1: lot of bucks getting shot after walking or running right 120 00:07:05,080 --> 00:07:08,120 Speaker 1: out into open fields and food plots. On the videos 121 00:07:08,160 --> 00:07:11,120 Speaker 1: I watched, the articles I read netted in whatever. It 122 00:07:11,160 --> 00:07:13,280 Speaker 1: was like the big deer couldn't help themselves, and they 123 00:07:13,280 --> 00:07:16,240 Speaker 1: had no qualms about sprinting into the wide open to 124 00:07:16,320 --> 00:07:19,560 Speaker 1: chase dos or grab a mouthful of clover. But in 125 00:07:19,600 --> 00:07:24,040 Speaker 1: my own life that never happened, or if it did, 126 00:07:24,400 --> 00:07:26,960 Speaker 1: and that was rare, it was always tied to a 127 00:07:27,040 --> 00:07:30,520 Speaker 1: major front passing through and conditions that were often windy 128 00:07:30,640 --> 00:07:33,360 Speaker 1: or rainy and not great for the casual hunter who 129 00:07:33,440 --> 00:07:35,600 Speaker 1: might prefer a little more fair weather type of sit 130 00:07:37,040 --> 00:07:40,160 Speaker 1: I also realized, on those perfect nights, like in late 131 00:07:40,200 --> 00:07:43,920 Speaker 1: October early November, I still wouldn't see bucks come out 132 00:07:43,960 --> 00:07:47,080 Speaker 1: into the open stuff in broad daylight, but I would 133 00:07:47,200 --> 00:07:51,000 Speaker 1: sometimes see them staging and cutting corners off the food. 134 00:07:51,760 --> 00:07:54,280 Speaker 1: After enough of those encounters, you start to put together 135 00:07:54,320 --> 00:07:57,960 Speaker 1: some thoughts, like, geez, those bucks never sprint out here 136 00:07:58,520 --> 00:08:00,680 Speaker 1: into the wide open, but once in a while, when 137 00:08:00,680 --> 00:08:03,280 Speaker 1: the wind is right, they seem to cut the corners 138 00:08:03,280 --> 00:08:07,200 Speaker 1: of the field while staying in the cover or I 139 00:08:07,200 --> 00:08:10,360 Speaker 1: don't know. In other words, they're just taking the safest 140 00:08:10,440 --> 00:08:14,040 Speaker 1: route possible to scent check a field. They use their 141 00:08:14,080 --> 00:08:16,280 Speaker 1: nose to tell them everything they need to know about 142 00:08:16,360 --> 00:08:19,400 Speaker 1: danger and the potential for a one night stand, and 143 00:08:19,480 --> 00:08:21,800 Speaker 1: they stay in the cover where they are far less 144 00:08:21,800 --> 00:08:25,600 Speaker 1: likely to encounter a hunter. Since most hunters can't help themselves, 145 00:08:25,600 --> 00:08:29,920 Speaker 1: but sit right on the field edge. Simple survival behavior, 146 00:08:30,040 --> 00:08:32,439 Speaker 1: and if you hunt pressure deer, you can count on 147 00:08:32,600 --> 00:08:35,440 Speaker 1: some of the bucks figuring this trick out. I've seen 148 00:08:35,480 --> 00:08:39,160 Speaker 1: this in multiple states, always well, not always, but often 149 00:08:39,200 --> 00:08:42,440 Speaker 1: on public land, and it's often pretty apparent. If you 150 00:08:42,520 --> 00:08:46,680 Speaker 1: go out and winter scout, which you should, you'll see 151 00:08:46,760 --> 00:08:50,080 Speaker 1: rubs leading out to the food sources, which tells you 152 00:08:50,080 --> 00:08:53,320 Speaker 1: what you already knew. You'll see rubs leading away from 153 00:08:53,360 --> 00:08:57,560 Speaker 1: the food sources, which tells you again what you already knew. 154 00:08:58,320 --> 00:09:00,400 Speaker 1: Bucks leave the cover to go feed, and then they 155 00:09:00,480 --> 00:09:02,760 Speaker 1: leave the food to go to bed. But you'll also 156 00:09:02,800 --> 00:09:06,600 Speaker 1: see rub lines paralleling the open stuff, but far enough 157 00:09:06,640 --> 00:09:09,439 Speaker 1: back in the cover to be interesting, and you'll often 158 00:09:09,480 --> 00:09:12,520 Speaker 1: see a concentration of rubs off the back corners of fields. 159 00:09:13,559 --> 00:09:17,000 Speaker 1: This is two things, and both are worth understanding. The 160 00:09:17,200 --> 00:09:20,960 Speaker 1: simple explanation is they stage there waiting on darkness to 161 00:09:21,000 --> 00:09:24,280 Speaker 1: go out do their thing, or when they leave the 162 00:09:24,320 --> 00:09:26,360 Speaker 1: food in the morning, kill a little bit of time 163 00:09:26,400 --> 00:09:29,520 Speaker 1: before they go back to bed. But they're also cutting 164 00:09:29,520 --> 00:09:32,560 Speaker 1: those corners and taking in the whole scene from the 165 00:09:32,600 --> 00:09:36,560 Speaker 1: safety of the cover so they don't encounter you. The 166 00:09:36,679 --> 00:09:39,160 Speaker 1: parallel to the open trail stuff. That tells you a 167 00:09:39,160 --> 00:09:43,440 Speaker 1: lot too a pressure buck is rarely, and I mean rarely, 168 00:09:43,480 --> 00:09:45,400 Speaker 1: going to spend time in the open when he doesn't 169 00:09:45,400 --> 00:09:48,760 Speaker 1: have to. Sure, he could get to the bedding area 170 00:09:48,760 --> 00:09:51,640 Speaker 1: on some knob by walking right across the cut cornfield 171 00:09:51,640 --> 00:09:53,760 Speaker 1: in the morning, but he's not going to do that 172 00:09:53,800 --> 00:09:56,320 Speaker 1: most of the time. Most of the time he's going 173 00:09:56,360 --> 00:09:59,199 Speaker 1: to slip into the timber and work his way back 174 00:09:59,440 --> 00:10:03,440 Speaker 1: through the The good thing is he's killable there when 175 00:10:03,480 --> 00:10:06,160 Speaker 1: he does that, just like he's killable when he cuts 176 00:10:06,160 --> 00:10:09,040 Speaker 1: corners while sent checking doze. But you need to get 177 00:10:09,080 --> 00:10:11,160 Speaker 1: in there ahead of him and hunt him like your 178 00:10:11,160 --> 00:10:15,240 Speaker 1: competition won't. If you go out winter scouting, look for 179 00:10:15,280 --> 00:10:17,920 Speaker 1: those rubs to tell you what I'm telling you. You'll 180 00:10:17,960 --> 00:10:20,480 Speaker 1: get bonus points on some of your inside corner scouting 181 00:10:20,520 --> 00:10:22,280 Speaker 1: if you find a community to scrape back off the 182 00:10:22,280 --> 00:10:26,240 Speaker 1: open stuff, because you probably will. Now some of you 183 00:10:26,320 --> 00:10:29,120 Speaker 1: listeners are thinking, well, I don't hunt where the dirt 184 00:10:29,200 --> 00:10:31,760 Speaker 1: is black and productive and grows corn ten feet tall, 185 00:10:31,800 --> 00:10:34,560 Speaker 1: and the bucks are dumb. Listen, I hear your cluck 186 00:10:34,559 --> 00:10:37,560 Speaker 1: in their big chicken, So think about buck travel in 187 00:10:37,559 --> 00:10:40,360 Speaker 1: another way, like I don't know you hunt the big woods, 188 00:10:40,400 --> 00:10:43,319 Speaker 1: and they could go any damn where they please. Fine, 189 00:10:44,160 --> 00:10:48,080 Speaker 1: look for rubs, then look for soft edges or hard edges. 190 00:10:48,600 --> 00:10:52,200 Speaker 1: Then when you find both, which you will because bucks 191 00:10:52,200 --> 00:10:55,360 Speaker 1: are suckers for edges, you have something to work with. 192 00:10:55,960 --> 00:10:58,840 Speaker 1: The deal here, whether you're up north in the swamps 193 00:10:58,880 --> 00:11:01,880 Speaker 1: or down south somewhere in the swamps, is finding some 194 00:11:01,920 --> 00:11:06,360 Speaker 1: spot where the randomness of big woods travel suddenly isn't random. 195 00:11:07,280 --> 00:11:09,559 Speaker 1: I'll give you an example. I spent a lot of 196 00:11:09,640 --> 00:11:11,840 Speaker 1: years trying to figure out a property in northern Wisconsin. 197 00:11:11,960 --> 00:11:13,960 Speaker 1: In fact, I'm still trying to figure it out, and 198 00:11:14,040 --> 00:11:17,200 Speaker 1: this place is section after section of timber and swamps. 199 00:11:17,840 --> 00:11:19,959 Speaker 1: One year I killed a decent eight pointer who was 200 00:11:19,960 --> 00:11:22,800 Speaker 1: playing a stupid game of skirting the parking area to 201 00:11:22,880 --> 00:11:25,640 Speaker 1: go from some bedding knobs to some flats to feed. 202 00:11:26,400 --> 00:11:28,640 Speaker 1: When I went back the following spring to winter scout 203 00:11:28,720 --> 00:11:31,400 Speaker 1: the area, I found a massive bed on a ridgetop. 204 00:11:32,120 --> 00:11:35,160 Speaker 1: Standing in that bed, I could see rubs leading up 205 00:11:35,360 --> 00:11:38,760 Speaker 1: and down the ridge and a rub line heading straight 206 00:11:38,760 --> 00:11:42,160 Speaker 1: down to the creek bottom, where I killed a buck 207 00:11:43,120 --> 00:11:46,840 Speaker 1: on an old, long abandoned logging road that happened to 208 00:11:46,880 --> 00:11:51,000 Speaker 1: pass between two swamps. It's a classic funnel. Now that 209 00:11:51,120 --> 00:11:55,480 Speaker 1: randomness of deer travel in the Big Woods isn't quite 210 00:11:55,520 --> 00:11:59,000 Speaker 1: as random. It also led to a spot where I 211 00:11:59,080 --> 00:12:01,800 Speaker 1: killed a different buck a few years earlier along that 212 00:12:01,840 --> 00:12:05,480 Speaker 1: creek bottom, but that he wasn't following the creek. He 213 00:12:05,559 --> 00:12:08,960 Speaker 1: was following the edge of a clear cut, a soft edge. 214 00:12:09,000 --> 00:12:11,160 Speaker 1: He was heading up the ridge to bed on it 215 00:12:11,280 --> 00:12:15,520 Speaker 1: somewhere after a morning and doing his thing in mid October. Now, 216 00:12:15,520 --> 00:12:18,720 Speaker 1: there were three years between those two Bigwoods buck kills, 217 00:12:19,000 --> 00:12:21,960 Speaker 1: and I'm still figuring out their travel there. But the 218 00:12:22,040 --> 00:12:25,360 Speaker 1: lesson is the bucks betting there now and using that 219 00:12:25,679 --> 00:12:29,280 Speaker 1: huge tract of public are probably still relating to the 220 00:12:29,320 --> 00:12:31,360 Speaker 1: same spots where I was killing deer quite a few 221 00:12:31,440 --> 00:12:33,200 Speaker 1: years ago, and a hell of a lot of that 222 00:12:33,240 --> 00:12:36,280 Speaker 1: sign is out there waiting to be discovered by some hunter. 223 00:12:37,040 --> 00:12:38,839 Speaker 1: But let me break it down a little bit further. 224 00:12:40,240 --> 00:12:42,880 Speaker 1: If you hunt big timber, you will see from year 225 00:12:42,880 --> 00:12:46,160 Speaker 1: to year a lot of what looks like randomness in movement. 226 00:12:46,679 --> 00:12:49,600 Speaker 1: This is especially true the flatter the country is, because 227 00:12:49,600 --> 00:12:52,880 Speaker 1: there are a fewer pinch points and terrain traps. The 228 00:12:52,960 --> 00:12:55,719 Speaker 1: oak that's dropping this week might draw deer from one 229 00:12:55,760 --> 00:12:59,120 Speaker 1: direction while some kind of soft mast next week might 230 00:12:59,200 --> 00:13:02,640 Speaker 1: draw them from another direction. In my opinion, if that 231 00:13:02,720 --> 00:13:05,640 Speaker 1: matters at all, if you hunt flat big woods and 232 00:13:05,720 --> 00:13:08,600 Speaker 1: you consistently kill decent bucks, you could probably just about 233 00:13:08,600 --> 00:13:11,400 Speaker 1: go anywhere and get it done. It's tough shit, but 234 00:13:11,480 --> 00:13:14,520 Speaker 1: there are always edges somewhere to work with. There's always 235 00:13:14,559 --> 00:13:16,600 Speaker 1: something they're going to give you a little clue into. 236 00:13:17,520 --> 00:13:20,320 Speaker 1: And this might be a swamp edge, which is kind 237 00:13:20,320 --> 00:13:22,680 Speaker 1: of always a buck magnet. Or it might be the 238 00:13:22,760 --> 00:13:24,880 Speaker 1: edge of some meadow or some type of wetland that 239 00:13:25,000 --> 00:13:27,920 Speaker 1: is soggy but not swimmable. It might be a seven 240 00:13:28,000 --> 00:13:29,880 Speaker 1: year old clear cut next to a one year old 241 00:13:29,880 --> 00:13:33,000 Speaker 1: clear cut, or an old growth forest that hasn't heard 242 00:13:33,040 --> 00:13:37,199 Speaker 1: the wine of chainsaws for forty years. Whatever the edge, 243 00:13:37,480 --> 00:13:40,040 Speaker 1: if you find it, you probably have found a spot 244 00:13:40,040 --> 00:13:44,000 Speaker 1: where bucks like to travel throughout the season. But you know, 245 00:13:44,040 --> 00:13:47,720 Speaker 1: this is painting with broadbrush type of thinking too. What 246 00:13:47,800 --> 00:13:50,920 Speaker 1: many deer do, many more will do kind of thinking. 247 00:13:50,960 --> 00:13:55,000 Speaker 1: I guess. It also seems like individual properties also seem 248 00:13:55,040 --> 00:13:58,760 Speaker 1: to have their own quirkiness, where bucks almost always take 249 00:13:58,880 --> 00:14:02,199 Speaker 1: this trail but not that one. This is where trail 250 00:14:02,240 --> 00:14:06,120 Speaker 1: cameras and in person observation really shine. I have a 251 00:14:06,160 --> 00:14:08,600 Speaker 1: spot like this in northern Wisconsin that I'm going to 252 00:14:08,600 --> 00:14:10,959 Speaker 1: put my daughters on this fall. It's going to take 253 00:14:11,000 --> 00:14:13,360 Speaker 1: some work and be a different kind of hunt than 254 00:14:13,400 --> 00:14:16,080 Speaker 1: what they're used to, but I can't ignore the trail 255 00:14:16,120 --> 00:14:19,640 Speaker 1: camera intel anymore. For a few years, I've left cameras 256 00:14:19,640 --> 00:14:22,560 Speaker 1: soaking to cover that spot. And it's a spot where 257 00:14:22,600 --> 00:14:26,080 Speaker 1: not only the bucks cut through to avoid the neighbor's 258 00:14:26,160 --> 00:14:29,360 Speaker 1: small hayfield where they keep their horses, but they move 259 00:14:29,360 --> 00:14:31,760 Speaker 1: at all hours of the day through there. It's a 260 00:14:31,800 --> 00:14:35,280 Speaker 1: patch of timber that is connected to several sections of 261 00:14:35,400 --> 00:14:39,640 Speaker 1: swampy big woods cover. I'm confident by looking at the 262 00:14:39,640 --> 00:14:42,720 Speaker 1: aerial photos and talking to the neighbors randomly that even 263 00:14:42,720 --> 00:14:45,200 Speaker 1: though the hunting pressure is pretty intense in the area, 264 00:14:45,360 --> 00:14:49,400 Speaker 1: there aren't too many people hunting that big timber. And 265 00:14:49,560 --> 00:14:53,280 Speaker 1: a benefit here is because baiting is legal there, and 266 00:14:53,320 --> 00:14:56,760 Speaker 1: so my neighbors are sitting over cornpiles in places they 267 00:14:56,800 --> 00:14:59,200 Speaker 1: can drive their four wheel or two, and this place 268 00:14:59,360 --> 00:15:02,440 Speaker 1: is just not that easy to access. So bucks know it, 269 00:15:02,760 --> 00:15:06,240 Speaker 1: and they know they walk through there and rarely encounter hunters. 270 00:15:06,320 --> 00:15:09,880 Speaker 1: But they're gonna this year. Those guys you know around there. 271 00:15:09,880 --> 00:15:12,240 Speaker 1: They're all sitting in the edges of openings. And you 272 00:15:12,320 --> 00:15:14,840 Speaker 1: know who knows that. Like I said, it's the bucks. 273 00:15:15,440 --> 00:15:18,440 Speaker 1: While they could just but walk anywhere through that cover 274 00:15:18,600 --> 00:15:22,120 Speaker 1: and be relatively safe from bow hunters, they lean real 275 00:15:22,240 --> 00:15:25,840 Speaker 1: heavy on one trail. I can speculate why, but it 276 00:15:25,880 --> 00:15:29,600 Speaker 1: doesn't matter because the evidence is clearly visible when I 277 00:15:29,640 --> 00:15:33,760 Speaker 1: check my trail cameras every year. This, in my humble opinion, 278 00:15:34,200 --> 00:15:38,040 Speaker 1: is important. If I know one trail on a property 279 00:15:38,080 --> 00:15:40,800 Speaker 1: that is more likely to host some buck travel than 280 00:15:40,880 --> 00:15:44,680 Speaker 1: any other, I can plan my entire fall around it. 281 00:15:45,160 --> 00:15:47,480 Speaker 1: I can go in when the conditions should put bucks 282 00:15:47,480 --> 00:15:50,120 Speaker 1: on their feet and it gives me a wind advantage. 283 00:15:50,720 --> 00:15:53,680 Speaker 1: I can avoid it when the odds of an encounter 284 00:15:53,680 --> 00:15:56,200 Speaker 1: are lower because I don't have that wind advantage or 285 00:15:56,200 --> 00:15:58,960 Speaker 1: the bucks shouldn't be on their feet. I can force 286 00:15:59,040 --> 00:16:02,600 Speaker 1: myself to pay extra special attention when I do hunt 287 00:16:02,600 --> 00:16:05,280 Speaker 1: it because I want to know exactly how they approached 288 00:16:05,360 --> 00:16:07,920 Speaker 1: the spot and how they'll leave it. Because the buck 289 00:16:07,960 --> 00:16:11,000 Speaker 1: I'm hunting today he might not be around tomorrow, but 290 00:16:11,040 --> 00:16:14,400 Speaker 1: eventually another buck will be. So maybe the best question 291 00:16:14,440 --> 00:16:16,440 Speaker 1: to ask when you're trying to figure out where bucks 292 00:16:16,480 --> 00:16:20,240 Speaker 1: travel on your hunting ground. Is why when you see 293 00:16:20,240 --> 00:16:22,680 Speaker 1: the rubs, or you get a trail camera pick, or 294 00:16:22,720 --> 00:16:26,520 Speaker 1: you make an in person observation, ask yourself what he's 295 00:16:26,560 --> 00:16:30,120 Speaker 1: doing there. It wasn't random. It wasn't random when the 296 00:16:30,160 --> 00:16:32,320 Speaker 1: forky walk through, and it won't be random when one 297 00:16:32,400 --> 00:16:35,520 Speaker 1: hundred and sixty five inchro walks through. What convinced a 298 00:16:35,600 --> 00:16:38,560 Speaker 1: buck to do what he did, because it'll convince other 299 00:16:38,600 --> 00:16:41,680 Speaker 1: bucks to do the same thing. What can you learn 300 00:16:41,680 --> 00:16:45,000 Speaker 1: about buck travel in general? And what can you learn 301 00:16:45,080 --> 00:16:47,960 Speaker 1: about buck travel that is specific to the ground you hunt. 302 00:16:48,920 --> 00:16:51,680 Speaker 1: Take another example here, cattail sluse talk him out all 303 00:16:51,720 --> 00:16:54,280 Speaker 1: the time. I love them. I love them for what 304 00:16:54,320 --> 00:16:57,040 Speaker 1: they offer pheasants and deer, and as a hunter, I'm 305 00:16:57,080 --> 00:17:00,040 Speaker 1: pretty interested in both those critters. And there are some 306 00:17:00,280 --> 00:17:03,920 Speaker 1: universal truths about cattail slows. As long as they aren't 307 00:17:03,960 --> 00:17:07,280 Speaker 1: too wet, bucks are gonna bed in them. And even 308 00:17:07,280 --> 00:17:10,239 Speaker 1: if they are pretty wet, those deer often find some 309 00:17:10,320 --> 00:17:12,840 Speaker 1: high spot and use it to their advantage. This is 310 00:17:12,880 --> 00:17:16,800 Speaker 1: like universal behavior because the cover is that good. They'll 311 00:17:16,840 --> 00:17:19,439 Speaker 1: also travel from point A to B, often at the 312 00:17:19,560 --> 00:17:23,840 Speaker 1: narrowest point of the slough pretty consistently. Again, it's a 313 00:17:23,920 --> 00:17:27,280 Speaker 1: pretty universal behavior. It lets them get to where they 314 00:17:27,359 --> 00:17:30,959 Speaker 1: need to go while working as little as possible and 315 00:17:31,200 --> 00:17:34,439 Speaker 1: staying in the most protective cover. That's pretty smart behavior 316 00:17:34,480 --> 00:17:37,960 Speaker 1: for a prey animal. But if you break down individual properties, 317 00:17:38,040 --> 00:17:42,399 Speaker 1: you'll see that while buck's behavior transcends specific ground, it 318 00:17:42,560 --> 00:17:46,760 Speaker 1: also caters itself too specific ground. If there is a 319 00:17:46,800 --> 00:17:49,560 Speaker 1: cattail slu that has a finger that extends up into 320 00:17:49,560 --> 00:17:52,080 Speaker 1: a draw the main slough, you can bet your ass 321 00:17:52,080 --> 00:17:54,520 Speaker 1: that a buck will bed there at some point because 322 00:17:54,560 --> 00:17:57,240 Speaker 1: he knows he now has an extra escape route that 323 00:17:57,280 --> 00:17:59,040 Speaker 1: allows him to get him away if he needs it. 324 00:17:59,440 --> 00:18:01,840 Speaker 1: He also probably has some kind of thermal hub or 325 00:18:01,840 --> 00:18:04,000 Speaker 1: at least some type of wind advantage there as well, 326 00:18:04,359 --> 00:18:06,480 Speaker 1: which is going to be tied directly to the terrain. 327 00:18:07,359 --> 00:18:10,240 Speaker 1: So you can know that bucks bed in and travel 328 00:18:10,280 --> 00:18:13,240 Speaker 1: through cattiles flows in a specific way. But then you 329 00:18:13,240 --> 00:18:15,920 Speaker 1: can look at an individual property and probably call your 330 00:18:15,920 --> 00:18:20,000 Speaker 1: shots for exactly or at least approximately where they'll bed. 331 00:18:20,960 --> 00:18:23,879 Speaker 1: That's powerful stuff and you can use it to your advantage. 332 00:18:24,240 --> 00:18:26,840 Speaker 1: You should too, And I know you're sick of me 333 00:18:26,880 --> 00:18:29,639 Speaker 1: saying this, but the window for figuring out the winter scouting. 334 00:18:29,680 --> 00:18:32,480 Speaker 1: Part of this stuff is closing hell. You might still 335 00:18:32,480 --> 00:18:34,919 Speaker 1: have some snow like we do and are looking at 336 00:18:34,960 --> 00:18:38,000 Speaker 1: a couple of weeks left of it, you know, but 337 00:18:38,720 --> 00:18:40,480 Speaker 1: you're going to have a real melt at some point 338 00:18:40,720 --> 00:18:42,840 Speaker 1: and before the onslaught of ticks, you need to get 339 00:18:42,880 --> 00:18:45,600 Speaker 1: out there. You need to use that time figure out 340 00:18:45,600 --> 00:18:47,840 Speaker 1: where bucks like to travel. And you need to tune 341 00:18:47,880 --> 00:18:50,080 Speaker 1: in next week because I'm going to talk about paying 342 00:18:50,080 --> 00:18:53,399 Speaker 1: attention and how easily we get distracted and how hard 343 00:18:54,000 --> 00:18:58,959 Speaker 1: staying on the mission is for most of us. That's it. 344 00:18:59,000 --> 00:19:00,680 Speaker 1: I'm Tony Peterson and this has been the Wire to 345 00:19:00,760 --> 00:19:03,480 Speaker 1: Hunt Foundations podcast, which has brought to you by First Light. 346 00:19:03,840 --> 00:19:06,240 Speaker 1: As I always, thank you so much for listening, And 347 00:19:06,240 --> 00:19:08,560 Speaker 1: if you want some more whitetail content, you can of 348 00:19:08,600 --> 00:19:11,360 Speaker 1: course check out the regular Wire to Hunt podcast, or 349 00:19:11,400 --> 00:19:14,240 Speaker 1: you can head on over to thumbetter dot com slash 350 00:19:14,320 --> 00:19:17,600 Speaker 1: wired and see a pile of hunting articles from guys 351 00:19:17,640 --> 00:19:20,040 Speaker 1: like Dylan Tramp and Any May and Alex Gilstrom and 352 00:19:20,080 --> 00:19:23,000 Speaker 1: Beaumartonic and Mark Kennan and myself. Head on over there. 353 00:19:23,320 --> 00:19:24,040 Speaker 1: Tons of info