1 00:00:01,320 --> 00:00:05,120 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,160 --> 00:00:08,959 Speaker 1: to the fundamentals of better deer hunting, presented by first Light, 3 00:00:09,280 --> 00:00:13,640 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:14,160 --> 00:00:18,720 Speaker 1: First Light, Go Farther, Stay Longer, and now your host 5 00:00:19,040 --> 00:00:19,960 Speaker 1: Tony Peterson. 6 00:00:20,160 --> 00:00:22,680 Speaker 2: Hey everyone, welcome to the Wire to Hunt Foundation's podcast, 7 00:00:22,720 --> 00:00:24,680 Speaker 2: which is brought to you by first Light. I'm your host, 8 00:00:24,720 --> 00:00:27,720 Speaker 2: Tony Peterson, and today's episode is all about what you 9 00:00:27,840 --> 00:00:30,600 Speaker 2: hear in the White Tail Woods and why paying attention 10 00:00:30,680 --> 00:00:39,800 Speaker 2: to sounds can make you a better hunter. This is 11 00:00:39,840 --> 00:00:41,920 Speaker 2: the time of year that I probably love the most. 12 00:00:42,440 --> 00:00:45,479 Speaker 2: I mean, I really love September hunting, probably more than 13 00:00:45,479 --> 00:00:47,400 Speaker 2: a lot of folks, and in some ways more than 14 00:00:47,440 --> 00:00:50,440 Speaker 2: even November hunting, which might sound crazy, but it's when 15 00:00:50,479 --> 00:00:53,600 Speaker 2: it gets into October, especially mid October, where things just 16 00:00:53,720 --> 00:00:55,960 Speaker 2: change in the woods. Now, I'm not talking about the 17 00:00:56,040 --> 00:00:58,000 Speaker 2: lull and hunting scrapes, or the pre rut and all 18 00:00:58,000 --> 00:01:01,120 Speaker 2: the anticipation that brings, talking about how different it is 19 00:01:01,160 --> 00:01:03,480 Speaker 2: to sit in the woods and listen and all the 20 00:01:03,520 --> 00:01:06,480 Speaker 2: little dopamine dumps you can get just by being there 21 00:01:06,520 --> 00:01:20,839 Speaker 2: and paying attention. Waves are weird now, I'm not talking 22 00:01:20,840 --> 00:01:24,039 Speaker 2: about ocean waves here, although I guess in a way 23 00:01:24,040 --> 00:01:27,160 Speaker 2: I kind of am. Physicists and scientists in general have 24 00:01:27,240 --> 00:01:29,360 Speaker 2: figured out quite a bit about how much in the 25 00:01:29,440 --> 00:01:32,920 Speaker 2: universe exists in some kind of wave form. Now, light 26 00:01:33,040 --> 00:01:35,640 Speaker 2: is an easy one. Well, I guess it's easy because 27 00:01:35,640 --> 00:01:37,679 Speaker 2: we kind of all know that light exists in waves, 28 00:01:37,720 --> 00:01:40,039 Speaker 2: because we've all been taught that at some point or another. 29 00:01:40,840 --> 00:01:44,199 Speaker 2: This was first hypothesized in sixteen seventy eight and later 30 00:01:44,280 --> 00:01:47,240 Speaker 2: proven to be right. Now, that makes me wonder if 31 00:01:47,280 --> 00:01:50,440 Speaker 2: society truly collapsed and we lost all of our previous 32 00:01:50,480 --> 00:01:53,080 Speaker 2: knowledge and had to start from scratch, how long would 33 00:01:53,120 --> 00:01:55,960 Speaker 2: it be before we figured that out again? How did 34 00:01:55,960 --> 00:01:59,160 Speaker 2: anyone figure out that to begin with? Now, I've read 35 00:01:59,200 --> 00:02:01,160 Speaker 2: about it quite a bit, and I don't really understand 36 00:02:01,200 --> 00:02:03,920 Speaker 2: it at all. But light does exist in waves, and 37 00:02:03,960 --> 00:02:06,000 Speaker 2: we can measure those waves with the right tools and 38 00:02:06,040 --> 00:02:08,760 Speaker 2: figure out how long ago that light started its journey. 39 00:02:09,280 --> 00:02:11,720 Speaker 2: We can also use that to confirm that everything in 40 00:02:11,760 --> 00:02:14,320 Speaker 2: the universe is moving away from our local cluster of 41 00:02:14,360 --> 00:02:18,720 Speaker 2: galaxies real fast in literally every direction we look, which 42 00:02:18,760 --> 00:02:22,200 Speaker 2: indicates we are in the middle of a long explosion. 43 00:02:23,160 --> 00:02:26,680 Speaker 2: Gravity gives off waves too, which is a way harder 44 00:02:26,800 --> 00:02:30,200 Speaker 2: thing for my smooth brain to grasp than waves of light. 45 00:02:31,320 --> 00:02:35,440 Speaker 2: Sound moves, obviously, but unlike light and gravity, sound can't 46 00:02:35,480 --> 00:02:38,799 Speaker 2: travel through a vacuum. Sound needs a medium through which 47 00:02:38,840 --> 00:02:41,920 Speaker 2: to propagate itself. This was something I had to explain 48 00:02:41,960 --> 00:02:44,639 Speaker 2: to my daughters recently when we watched the nineteen ninety 49 00:02:44,720 --> 00:02:48,920 Speaker 2: campy horror flick called Tremors, which stars Kevin Bacon and 50 00:02:49,000 --> 00:02:53,160 Speaker 2: someone who I hate as an actress, Reba McIntyre. Now 51 00:02:53,280 --> 00:02:55,600 Speaker 2: I don't hate Reba's music. I don't really like it, 52 00:02:55,639 --> 00:02:57,880 Speaker 2: but I don't hate it. And maybe this is kind 53 00:02:57,880 --> 00:03:00,280 Speaker 2: of a weird take, but my wife and kids are 54 00:03:00,280 --> 00:03:03,760 Speaker 2: into sitcoms from like twenty twenty five years ago, and 55 00:03:03,800 --> 00:03:06,040 Speaker 2: one of the shows they watch a lot is Riba, 56 00:03:06,480 --> 00:03:08,560 Speaker 2: and it is so terrible that it makes me want 57 00:03:08,560 --> 00:03:11,200 Speaker 2: to jump in front of a city bus. It's so 58 00:03:11,520 --> 00:03:13,880 Speaker 2: cheesy it makes Full House seem like a guy a 59 00:03:13,960 --> 00:03:18,400 Speaker 2: Ritchie film. Anyway, the premise of Tremors is that there 60 00:03:18,480 --> 00:03:22,160 Speaker 2: is a tiny town in Nevada called Perfection, and that's 61 00:03:22,280 --> 00:03:25,000 Speaker 2: about as bleak as it gets, with just fourteen full 62 00:03:25,000 --> 00:03:27,240 Speaker 2: time residents and not a whole lot of opportunity to 63 00:03:27,280 --> 00:03:30,800 Speaker 2: go around. What makes it worse is that somehow four 64 00:03:30,880 --> 00:03:35,280 Speaker 2: giant sandworm creatures who really like eating sheep horses and surprise, surprise, 65 00:03:35,760 --> 00:03:39,320 Speaker 2: people starts hunting the residents, as well as a smoking 66 00:03:39,360 --> 00:03:42,560 Speaker 2: hot transplant who just happens to be a seismologist and 67 00:03:42,600 --> 00:03:45,360 Speaker 2: who also, as was the fashion at the time with 68 00:03:45,440 --> 00:03:47,840 Speaker 2: women in these kind of films, managed to get into 69 00:03:47,880 --> 00:03:49,800 Speaker 2: a situation where she had to take her pants off 70 00:03:49,840 --> 00:03:53,240 Speaker 2: to avoid getting caught by one of the bad worm guys. Now, 71 00:03:53,240 --> 00:03:55,120 Speaker 2: I don't want to spoil this for you, but it 72 00:03:55,160 --> 00:03:57,720 Speaker 2: has been out for thirty four years, so I don't 73 00:03:57,720 --> 00:04:00,000 Speaker 2: know what to say about that. I think the status 74 00:04:00,280 --> 00:04:03,200 Speaker 2: limitations is out on spoiler alerts for the movie Tremors, 75 00:04:03,240 --> 00:04:04,920 Speaker 2: But if you suddenly think you want to watch it 76 00:04:04,960 --> 00:04:07,480 Speaker 2: for the first time, I'll maybe fast forward here for 77 00:04:07,520 --> 00:04:11,000 Speaker 2: a minute or so. Now. After finding a dude dead 78 00:04:11,000 --> 00:04:13,760 Speaker 2: of exposure on a tower, and another dude dead in 79 00:04:13,800 --> 00:04:16,720 Speaker 2: the sheep pen, and another two dudes dead who are 80 00:04:16,720 --> 00:04:20,080 Speaker 2: working on some road construction in a very not realistic scene, 81 00:04:20,360 --> 00:04:23,080 Speaker 2: the two main characters of Tremors start to piece together 82 00:04:23,160 --> 00:04:25,839 Speaker 2: that something is wrong. Then they meet up with a 83 00:04:25,839 --> 00:04:29,120 Speaker 2: seismologist and figure out the worms haunt by vibrations in 84 00:04:29,160 --> 00:04:32,400 Speaker 2: the soil. After quite a few minor characters end up 85 00:04:32,400 --> 00:04:35,839 Speaker 2: getting chomped on, they eventually use this hunting technique to 86 00:04:35,880 --> 00:04:38,680 Speaker 2: their advantage. It may be wonder if one of the 87 00:04:38,720 --> 00:04:41,320 Speaker 2: writers of the film was maybe a woodcock hunter, since 88 00:04:41,360 --> 00:04:44,600 Speaker 2: those little migrators have evolved a specialized beak that they 89 00:04:44,640 --> 00:04:47,599 Speaker 2: poke into the ground to find worms through the worms vibrations. 90 00:04:48,400 --> 00:04:51,919 Speaker 2: As if maybe some woodcock hunter was like, hmm, what 91 00:04:52,040 --> 00:04:55,000 Speaker 2: if the worms started hunting the timberdoodles and then bam, 92 00:04:55,040 --> 00:04:57,440 Speaker 2: a script is born and Kevin Bacon's agent is on 93 00:04:57,480 --> 00:05:02,080 Speaker 2: the phone or something like that. Sound moves pretty fast, 94 00:05:02,600 --> 00:05:05,400 Speaker 2: about seven hundred and forty one miles per hour, and 95 00:05:05,400 --> 00:05:07,640 Speaker 2: if you go faster than that with a bullet or 96 00:05:07,680 --> 00:05:10,440 Speaker 2: a fighter jet, you can make your own sonic boom. 97 00:05:10,760 --> 00:05:12,719 Speaker 2: In the case of planes, this is created when the 98 00:05:12,720 --> 00:05:16,440 Speaker 2: aircraft pushes pressure waves in front of it until the 99 00:05:16,520 --> 00:05:19,600 Speaker 2: speed of the aircraft increases enough to compress the sound 100 00:05:19,680 --> 00:05:21,440 Speaker 2: waves to the point where they can't get out of 101 00:05:21,480 --> 00:05:25,039 Speaker 2: each other's way, and they merge into one single shock wave, 102 00:05:25,320 --> 00:05:27,800 Speaker 2: which moves at the speed of sound and is very 103 00:05:28,560 --> 00:05:32,040 Speaker 2: very loud. I think we take sound for granted as 104 00:05:32,080 --> 00:05:35,839 Speaker 2: people in general, but also as hunters. Sure we love 105 00:05:36,000 --> 00:05:39,200 Speaker 2: music and the sounds of our kids' voices, and not 106 00:05:39,240 --> 00:05:41,839 Speaker 2: so much our wife's snoring, which she said she doesn't do, 107 00:05:42,000 --> 00:05:44,280 Speaker 2: but you actually sometimes record it on your phone so 108 00:05:44,360 --> 00:05:46,360 Speaker 2: she can't deny it, and yet she still does anyway, 109 00:05:46,400 --> 00:05:49,880 Speaker 2: And you're like, are you serious with this right now? Sound, 110 00:05:49,920 --> 00:05:54,279 Speaker 2: as whitetail hunters is something we understand and something we don't. 111 00:05:55,400 --> 00:05:58,320 Speaker 2: We think of the sounds we make, you know, walking 112 00:05:58,360 --> 00:06:02,000 Speaker 2: in setting our stands and accidentally banging a climbing stick 113 00:06:02,000 --> 00:06:05,080 Speaker 2: on a metal carabiner, you know, stepping on a dry 114 00:06:05,160 --> 00:06:08,000 Speaker 2: stick and making the cracking sound that only indicates there 115 00:06:08,080 --> 00:06:10,720 Speaker 2: is a big animal on the move. We think about 116 00:06:10,720 --> 00:06:12,880 Speaker 2: how to make a grunt or tickle the rattle bag 117 00:06:12,920 --> 00:06:16,760 Speaker 2: a little. We think about the sound of a buck 118 00:06:16,800 --> 00:06:19,520 Speaker 2: walking through the october leaves, which might be the best 119 00:06:19,520 --> 00:06:23,159 Speaker 2: sound of all. But there is a soundscape to the 120 00:06:23,200 --> 00:06:26,359 Speaker 2: whole thing that we should pay attention to and enjoy. 121 00:06:27,080 --> 00:06:30,560 Speaker 2: There was a somewhat controversial book published in nineteen sixty 122 00:06:30,560 --> 00:06:34,560 Speaker 2: two by Rachel Carson called Silent Spring. In it, she 123 00:06:34,680 --> 00:06:37,520 Speaker 2: makes the case that our indiscriminate use of DDT as 124 00:06:37,560 --> 00:06:40,640 Speaker 2: a pesticide, then was going to kill off the songbirds 125 00:06:40,680 --> 00:06:43,320 Speaker 2: and frogs and other creatures we definitely don't want to 126 00:06:43,400 --> 00:06:46,719 Speaker 2: kill off. To highlight what this would be like, she 127 00:06:46,800 --> 00:06:49,480 Speaker 2: named her book what she did, and it helped usher 128 00:06:49,520 --> 00:06:53,120 Speaker 2: in a better era for the environment. The idea of 129 00:06:53,160 --> 00:06:57,880 Speaker 2: a silent spring is wildly abstract, but subtly terrifying. I'm 130 00:06:57,880 --> 00:07:01,480 Speaker 2: old enough to remember the scare around form frogs, which 131 00:07:01,520 --> 00:07:04,640 Speaker 2: was a big concern when I was in high school. Frogs, 132 00:07:05,040 --> 00:07:08,240 Speaker 2: like they're cooler and harder to find little cousins. Salamanders 133 00:07:08,640 --> 00:07:12,120 Speaker 2: are keynote species to pay attention to for the first 134 00:07:12,160 --> 00:07:16,200 Speaker 2: signs that an ecosystem might be collapsing. They are also 135 00:07:16,240 --> 00:07:18,640 Speaker 2: such a part of the soundscape through the spring and 136 00:07:18,720 --> 00:07:21,640 Speaker 2: the fall that it would be hard to imagine life 137 00:07:21,640 --> 00:07:25,280 Speaker 2: without that auditory gift. One of my buddies listens for 138 00:07:25,480 --> 00:07:28,400 Speaker 2: frogs when he scouts the mountains because they will betray 139 00:07:28,440 --> 00:07:30,760 Speaker 2: a small water hole or an elk wallow in a 140 00:07:30,800 --> 00:07:33,880 Speaker 2: way that nothing else will. Ever since he told me 141 00:07:33,920 --> 00:07:36,680 Speaker 2: that trick, I think about it when I'm spring or 142 00:07:36,720 --> 00:07:39,720 Speaker 2: summer scouting too. The frogs in the deer woods can 143 00:07:39,760 --> 00:07:42,240 Speaker 2: tell you a lot about where an october buck might 144 00:07:42,280 --> 00:07:46,400 Speaker 2: get a drink. There's also the reality of songbirds out 145 00:07:46,400 --> 00:07:49,360 Speaker 2: there and squirrels. I sat a spot recently here in 146 00:07:49,400 --> 00:07:52,440 Speaker 2: Minnesota that was squirrel central, and what made it just 147 00:07:52,480 --> 00:07:54,200 Speaker 2: a bit worse but also a hell of a lot 148 00:07:54,240 --> 00:07:57,200 Speaker 2: more exciting, was that a late summer storm up here 149 00:07:57,480 --> 00:08:00,760 Speaker 2: knocked a bunch of trees over. Its killed some trees 150 00:08:00,800 --> 00:08:03,880 Speaker 2: that are still kind of standing, and from the pond 151 00:08:03,960 --> 00:08:06,200 Speaker 2: at the stand I was on is one of those 152 00:08:06,280 --> 00:08:10,200 Speaker 2: dying trees with dried leaves on it. For whatever reason, 153 00:08:10,440 --> 00:08:13,160 Speaker 2: the squirrels in the blue jays love that tree, and 154 00:08:13,200 --> 00:08:15,960 Speaker 2: they sound an awful lot like a deer shuffling around 155 00:08:15,960 --> 00:08:19,760 Speaker 2: for acorns when they're screwing around in there. The problem 156 00:08:19,880 --> 00:08:21,840 Speaker 2: is that they make that sound all day long in 157 00:08:21,840 --> 00:08:24,360 Speaker 2: that tree, and after a while it's sort of a 158 00:08:24,400 --> 00:08:27,120 Speaker 2: boy who Cried buck scenario where you just ignore it. 159 00:08:27,440 --> 00:08:29,160 Speaker 2: That's what I did, and it nearly cost me a 160 00:08:29,200 --> 00:08:32,280 Speaker 2: dough one night. We are good at blocking out noise, 161 00:08:32,360 --> 00:08:35,000 Speaker 2: and if you don't believe that, go get yourself married 162 00:08:35,040 --> 00:08:38,200 Speaker 2: and have some kids. Children make noise to make noise, 163 00:08:38,280 --> 00:08:41,120 Speaker 2: and somehow it conditions us to eventually just tune some 164 00:08:41,200 --> 00:08:44,000 Speaker 2: stuff out. It's not that we don't want to listen, 165 00:08:44,200 --> 00:08:46,600 Speaker 2: it's that if we do, we will never have a 166 00:08:46,679 --> 00:08:50,120 Speaker 2: coherent thought again and could possibly go postal after a while. 167 00:08:50,880 --> 00:08:53,560 Speaker 2: There's also nothing quite like you know when you're in 168 00:08:53,600 --> 00:08:56,440 Speaker 2: the woods. It just starts to get late and the 169 00:08:56,480 --> 00:09:00,360 Speaker 2: animals start moving. Hearing the chickadees start to fly through, 170 00:09:00,840 --> 00:09:03,080 Speaker 2: or a rough grouse start to drum away in the distance. 171 00:09:03,160 --> 00:09:05,480 Speaker 2: You know, the squirrels and the chipmunks playing grab ass 172 00:09:05,480 --> 00:09:10,160 Speaker 2: as they scuffle around for breakfast. Hearing woodpeckers, especially the 173 00:09:10,240 --> 00:09:14,240 Speaker 2: gangly oversized pilliated woodpeckers with their sweet red mohawks that 174 00:09:14,280 --> 00:09:17,480 Speaker 2: my daughters loved to see when we're in Wisconsin. We 175 00:09:17,559 --> 00:09:20,880 Speaker 2: call them pecilated pilliwookers, a habit that I picked up 176 00:09:20,920 --> 00:09:22,600 Speaker 2: from my dad when I was their age, and for 177 00:09:22,640 --> 00:09:25,880 Speaker 2: some reason it just stuck. I also can't see one 178 00:09:26,160 --> 00:09:28,720 Speaker 2: or hear one without thinking about. A woman in a 179 00:09:28,800 --> 00:09:31,760 Speaker 2: kayak I had a previous conversation with maybe twenty five 180 00:09:31,840 --> 00:09:34,079 Speaker 2: years ago, while I was flipping some flooded trees for 181 00:09:34,200 --> 00:09:37,320 Speaker 2: large mouth as she paddled by. When I asked her 182 00:09:37,320 --> 00:09:39,320 Speaker 2: how it was going, she explained to me all of 183 00:09:39,360 --> 00:09:41,880 Speaker 2: the birds she had seen, and she punctuated it by 184 00:09:41,920 --> 00:09:45,280 Speaker 2: saying she had seen a pilated woodpecker. And she seemed 185 00:09:45,360 --> 00:09:48,160 Speaker 2: much more educated than me. So I remember thinking, have 186 00:09:48,240 --> 00:09:50,440 Speaker 2: we been saying it wrong all this time? Am I 187 00:09:50,520 --> 00:09:53,880 Speaker 2: still saying it wrong? The sounds of the woods aren't 188 00:09:54,480 --> 00:09:57,560 Speaker 2: nice just because they provide an auditory landscape in the 189 00:09:57,600 --> 00:10:01,079 Speaker 2: places we love to be. They can tell us when 190 00:10:01,080 --> 00:10:03,480 Speaker 2: a deer is coming. Now by this, I don't just 191 00:10:03,600 --> 00:10:06,720 Speaker 2: mean the hoofs and the leaves either, that stick snap 192 00:10:06,800 --> 00:10:09,400 Speaker 2: that we hate making. Is there a better sound to 193 00:10:09,440 --> 00:10:11,920 Speaker 2: hear when you're settled in and it's twenty minutes before dark? 194 00:10:13,320 --> 00:10:16,080 Speaker 2: What about the sounds other animals make when they encounter 195 00:10:16,120 --> 00:10:19,400 Speaker 2: a deer. It doesn't happen too often in my experience, 196 00:10:19,480 --> 00:10:21,440 Speaker 2: but every once in a while, a deer will just 197 00:10:21,559 --> 00:10:24,280 Speaker 2: piss off a squirrel with its presence. Maybe this is 198 00:10:24,360 --> 00:10:26,240 Speaker 2: surprised the bushy tails a little bit, and then they 199 00:10:26,280 --> 00:10:29,040 Speaker 2: get scolded. I don't know, but there are so many 200 00:10:29,080 --> 00:10:31,760 Speaker 2: times when squirrels and deers seem to live in a 201 00:10:31,880 --> 00:10:35,000 Speaker 2: totally harmonious way, but once in a while they get 202 00:10:35,040 --> 00:10:39,079 Speaker 2: sideways with each other, and a squirrel will bark rapidly 203 00:10:39,640 --> 00:10:42,680 Speaker 2: out of nowhere, just telling you that a deer is 204 00:10:42,679 --> 00:10:44,920 Speaker 2: on its way, and it's not just a red tailed 205 00:10:44,920 --> 00:10:47,000 Speaker 2: hawk up in a tree or a coyote or something 206 00:10:47,040 --> 00:10:57,359 Speaker 2: that got their alarm. Deer sound different than most animals, 207 00:10:57,520 --> 00:11:01,120 Speaker 2: but most animals also can sound like a deer. If 208 00:11:01,200 --> 00:11:03,160 Speaker 2: you haven't had a skunk or a possum or a 209 00:11:03,160 --> 00:11:05,400 Speaker 2: porcupine or some other critter trick you into grabbing your 210 00:11:05,440 --> 00:11:07,720 Speaker 2: bow and attaching your release to your d loop, you 211 00:11:07,760 --> 00:11:11,800 Speaker 2: haven't hunted very long. The Venn diagram of deer noises 212 00:11:11,840 --> 00:11:15,680 Speaker 2: and other animal noises overlaps, maybe only by like twenty percent, 213 00:11:16,240 --> 00:11:20,079 Speaker 2: but that twenty percent makes hunting way more fun. If 214 00:11:20,080 --> 00:11:22,160 Speaker 2: you hear something coming and you believe it's a deer 215 00:11:22,400 --> 00:11:25,359 Speaker 2: and it is, you get a huge surprise to the upside. 216 00:11:25,679 --> 00:11:27,679 Speaker 2: If you hear something coming and you believe it might 217 00:11:27,720 --> 00:11:30,360 Speaker 2: be a deer but it's not a deer and it 218 00:11:30,400 --> 00:11:32,800 Speaker 2: turns out to be a trash bandit or whatever, you 219 00:11:32,920 --> 00:11:35,800 Speaker 2: still got the anticipation of thinking a deer might be coming, 220 00:11:35,960 --> 00:11:37,839 Speaker 2: and you got to watch a raccoon chirp his way 221 00:11:37,840 --> 00:11:41,400 Speaker 2: through the woods while checking stuff out bandit style. The 222 00:11:41,520 --> 00:11:44,120 Speaker 2: sounds we actually hear in the woods are often different 223 00:11:44,120 --> 00:11:47,160 Speaker 2: from the sounds we imagine. I think about this with 224 00:11:47,280 --> 00:11:51,040 Speaker 2: buck fights a lot. I've only seen a handful of good, 225 00:11:51,240 --> 00:11:53,920 Speaker 2: real buckfights, and I can say that every one of 226 00:11:53,960 --> 00:11:57,360 Speaker 2: them was way louder than I expected. You know, not 227 00:11:57,440 --> 00:12:01,040 Speaker 2: from the perspective of antlers smashing and crashing together because 228 00:12:01,080 --> 00:12:03,880 Speaker 2: they aren't big horned sheep, but from the perspective of 229 00:12:04,000 --> 00:12:07,920 Speaker 2: two big animals pushing each other around and essentially trying 230 00:12:07,960 --> 00:12:11,520 Speaker 2: to kill each other. There is a whole soundtrack to 231 00:12:11,559 --> 00:12:15,040 Speaker 2: a buck fight that we almost never actually make when 232 00:12:15,080 --> 00:12:17,959 Speaker 2: we rattle. I honestly think this is why rattling is 233 00:12:18,000 --> 00:12:20,760 Speaker 2: such a low odds deal for most of us. Even 234 00:12:20,840 --> 00:12:23,280 Speaker 2: if a buck isn't smart enough to say that the 235 00:12:23,320 --> 00:12:26,200 Speaker 2: buck fight he's hearing doesn't have enough other sounds to 236 00:12:26,240 --> 00:12:27,800 Speaker 2: go with it, so you know he's not going to 237 00:12:27,920 --> 00:12:31,720 Speaker 2: check it out. Intuitively, they seem to know what sounds 238 00:12:31,840 --> 00:12:35,360 Speaker 2: natural and what doesn't. The first buck I ever witnessed 239 00:12:35,400 --> 00:12:38,000 Speaker 2: involved two two year olds going at it in mid 240 00:12:38,040 --> 00:12:41,520 Speaker 2: October and southeastern Minnesota. They met up in a valley 241 00:12:41,559 --> 00:12:45,000 Speaker 2: below me, and they settled a feisty dispute. They made 242 00:12:45,040 --> 00:12:48,240 Speaker 2: so much noise that I watched seven other deer approach 243 00:12:48,280 --> 00:12:51,520 Speaker 2: from different directions. Some of them ran in to watch 244 00:12:51,559 --> 00:12:54,640 Speaker 2: it all go down. That was one of those lessons 245 00:12:54,679 --> 00:12:56,960 Speaker 2: that the deer taught me that no amount of magazine 246 00:12:57,040 --> 00:13:00,800 Speaker 2: articles or hunting shows could Another time, I watched two 247 00:13:00,840 --> 00:13:03,800 Speaker 2: bucks fight in the Little Missouri River out in North Dakota, 248 00:13:04,080 --> 00:13:07,080 Speaker 2: and the amount of splashing and river rocks crashing against 249 00:13:07,080 --> 00:13:10,880 Speaker 2: one another was wild. It was like twenty times louder 250 00:13:10,920 --> 00:13:14,360 Speaker 2: than I've ever rattled in my life. But that was 251 00:13:14,440 --> 00:13:17,040 Speaker 2: the real thing. And when I do it, it's not 252 00:13:18,160 --> 00:13:20,200 Speaker 2: I like to sit water a lot. And you know 253 00:13:20,240 --> 00:13:24,400 Speaker 2: what else betrays approaching deer. You know, pretty often morning 254 00:13:24,440 --> 00:13:27,640 Speaker 2: doves in the mornings. In the evenings, doves are big 255 00:13:27,679 --> 00:13:29,800 Speaker 2: fans and landing on the edges of ponds and rivers 256 00:13:29,840 --> 00:13:32,600 Speaker 2: where they like to hang out right at water level, 257 00:13:32,920 --> 00:13:36,240 Speaker 2: where almost always anything that approaches the pond or the 258 00:13:36,360 --> 00:13:39,679 Speaker 2: river will be above them. And they are skittish. And 259 00:13:39,720 --> 00:13:42,640 Speaker 2: there's a difference between one or two doves flying off 260 00:13:42,640 --> 00:13:46,840 Speaker 2: on their own volition, or however many doves are there, 261 00:13:46,880 --> 00:13:50,920 Speaker 2: all spooking at one time from a perceived threat. The 262 00:13:51,000 --> 00:13:53,840 Speaker 2: difference in those two sounds is probably very minimal, But 263 00:13:53,840 --> 00:13:56,200 Speaker 2: if you spend a lot of time sitting over water holes, 264 00:13:56,440 --> 00:13:58,640 Speaker 2: you learn real quickly to pay attention when you hear 265 00:13:58,720 --> 00:14:02,960 Speaker 2: one and not the other. There are other sounds that 266 00:14:03,000 --> 00:14:06,160 Speaker 2: can make a whole season or deflate you in an 267 00:14:06,160 --> 00:14:09,080 Speaker 2: instant on a sit. In the latter category, an old 268 00:14:09,080 --> 00:14:12,120 Speaker 2: dough snorting away will do it pretty handily, especially if 269 00:14:12,160 --> 00:14:14,200 Speaker 2: you didn't know she was there. I mean, is there 270 00:14:14,240 --> 00:14:16,920 Speaker 2: anything worse than stretching in your stand or reaching into 271 00:14:16,920 --> 00:14:19,040 Speaker 2: your pack and hearing the thump of hoofs and then 272 00:14:19,120 --> 00:14:22,600 Speaker 2: ten seconds later a dough snorting her head off. Now, 273 00:14:22,600 --> 00:14:25,560 Speaker 2: the opposite sound of that is a buck grunt. When 274 00:14:25,600 --> 00:14:28,040 Speaker 2: you're sitting quietly on stand and not much is happening 275 00:14:28,040 --> 00:14:30,960 Speaker 2: and you hear a grunt, it's an adrenaline rush that 276 00:14:31,240 --> 00:14:34,640 Speaker 2: just can't quite be explained. The only thing that tops 277 00:14:34,680 --> 00:14:37,320 Speaker 2: it is a buck roar, which I've only heard once, 278 00:14:37,640 --> 00:14:39,720 Speaker 2: but it was incredible and it got my attention the 279 00:14:39,760 --> 00:14:43,560 Speaker 2: way very few sounds in the woods ever have. I 280 00:14:43,600 --> 00:14:46,520 Speaker 2: cannot look at that deer's rack on my wall and 281 00:14:46,560 --> 00:14:49,920 Speaker 2: not think about hearing that roar crash through the woods 282 00:14:49,960 --> 00:14:52,080 Speaker 2: before I caught sight of him, and he did it again. 283 00:14:52,800 --> 00:14:56,080 Speaker 2: If Bucks had a bigger tendency to do that, we'd 284 00:14:56,080 --> 00:14:59,560 Speaker 2: pay non resident ELK prices for deer all day long. 285 00:15:00,080 --> 00:15:02,120 Speaker 2: Most of us would lose our private spots to hunt 286 00:15:02,200 --> 00:15:04,480 Speaker 2: if we didn't own them. Those deer would be in 287 00:15:04,640 --> 00:15:08,360 Speaker 2: such high demand or higher demand, I should say, which 288 00:15:08,400 --> 00:15:12,280 Speaker 2: is really saying something. There's the sound of a deer 289 00:15:12,360 --> 00:15:14,600 Speaker 2: crashing after you shoot it kind of like the death 290 00:15:14,640 --> 00:15:17,440 Speaker 2: moon from a bear. You know what happened, and you 291 00:15:17,520 --> 00:15:20,320 Speaker 2: believe what happened, but until you walk up on it, 292 00:15:20,360 --> 00:15:24,000 Speaker 2: you just don't know. You know, there's the reality that 293 00:15:24,040 --> 00:15:26,600 Speaker 2: it always sounds like whoever you're hunting with walks much 294 00:15:26,640 --> 00:15:28,880 Speaker 2: louder than you, You know, with all the grace of 295 00:15:28,880 --> 00:15:32,320 Speaker 2: a drunken elephant and a potato chip factory. They don't. 296 00:15:32,560 --> 00:15:35,360 Speaker 2: But hunting partners are kind of like spouses. It can 297 00:15:35,400 --> 00:15:37,600 Speaker 2: get real easy to spot the flaws, even if they 298 00:15:37,600 --> 00:15:40,600 Speaker 2: are a minor and exactly the same flaws we have. 299 00:15:41,680 --> 00:15:44,080 Speaker 2: I think about sound a lot, because I think about 300 00:15:44,080 --> 00:15:46,200 Speaker 2: being addicted to my phone a lot. And while it's 301 00:15:46,200 --> 00:15:47,920 Speaker 2: easy to sit and stare at a screen until a 302 00:15:47,960 --> 00:15:51,120 Speaker 2: deer shows up, I sometimes find myself realizing that I 303 00:15:51,160 --> 00:15:53,640 Speaker 2: don't hear what's going on when I'm looking at another 304 00:15:53,680 --> 00:15:56,240 Speaker 2: one of Mark's fly fishing posts, or going down a 305 00:15:56,320 --> 00:16:00,240 Speaker 2: rabbit hole on Reddit about UFO disclosure, or something you 306 00:16:00,240 --> 00:16:02,880 Speaker 2: can be in the moment in the environment you're in, 307 00:16:03,360 --> 00:16:06,240 Speaker 2: or pay attention to the NonStop boredom fighter machines we 308 00:16:06,360 --> 00:16:09,960 Speaker 2: carry around. But it's hard to do both. But to 309 00:16:10,000 --> 00:16:13,520 Speaker 2: be a good hunter, generally, it's to be an astute listener. 310 00:16:14,000 --> 00:16:16,640 Speaker 2: And that's not some bullshit a terrible poet might say. 311 00:16:16,760 --> 00:16:19,560 Speaker 2: It's true, and it's something you should think about when 312 00:16:19,560 --> 00:16:22,520 Speaker 2: you're out there. Listen to the woods, not just for 313 00:16:22,600 --> 00:16:24,880 Speaker 2: the sound of a deer walking in, but for what 314 00:16:24,960 --> 00:16:29,000 Speaker 2: the woods sound like when the deer aren't walking in too. 315 00:16:29,080 --> 00:16:31,200 Speaker 2: If you pay attention, you'll notice that there are critters 316 00:16:31,280 --> 00:16:33,640 Speaker 2: that can tell you what's going on and what's coming 317 00:16:33,680 --> 00:16:36,480 Speaker 2: down the trail, and when it's just time for everybody 318 00:16:36,520 --> 00:16:38,480 Speaker 2: to get a snack before the lights go out and 319 00:16:38,520 --> 00:16:41,120 Speaker 2: the day shift gives way to night shift and a 320 00:16:41,200 --> 00:16:45,200 Speaker 2: whole different soundscape emerges. It's honestly one of the best 321 00:16:45,200 --> 00:16:48,360 Speaker 2: parts about being a hunter, because there is something you'll hear, 322 00:16:48,880 --> 00:16:51,520 Speaker 2: or a lot of things you'll hear that most folks 323 00:16:51,600 --> 00:16:54,400 Speaker 2: just won't, and it's something that humans have been listening 324 00:16:54,440 --> 00:16:57,520 Speaker 2: to for a long long time, and for all we know, 325 00:16:58,080 --> 00:17:01,080 Speaker 2: might be something we absolutely need to hear here, even 326 00:17:01,120 --> 00:17:04,000 Speaker 2: if the reasons for that are abstract and impossible to 327 00:17:04,040 --> 00:17:06,560 Speaker 2: put in words. Now, do you know what else you 328 00:17:06,560 --> 00:17:09,800 Speaker 2: should try to listen to this podcast next week? Because 329 00:17:09,840 --> 00:17:11,920 Speaker 2: I'm going to talk about how to hunt the pre 330 00:17:12,080 --> 00:17:14,080 Speaker 2: rut and why it might be the best time for 331 00:17:14,160 --> 00:17:16,720 Speaker 2: you to kill a buck, even though most folks will 332 00:17:16,720 --> 00:17:21,480 Speaker 2: say that it's definitely not. That's it for the show. 333 00:17:21,480 --> 00:17:23,639 Speaker 2: I'm Tony Peterson. This has been the Wire to Hunt 334 00:17:23,680 --> 00:17:26,520 Speaker 2: Foundations podcast. We know you're in the heart of deer 335 00:17:26,560 --> 00:17:29,600 Speaker 2: season here, you're driving all over, you're you know, putting 336 00:17:29,640 --> 00:17:32,040 Speaker 2: in a little time in the office when you can, 337 00:17:32,400 --> 00:17:35,520 Speaker 2: and you're probably consuming some hunting content. If you want 338 00:17:35,560 --> 00:17:37,639 Speaker 2: to consume hunting content, you want to see more of it. 339 00:17:37,680 --> 00:17:41,360 Speaker 2: Read some articles, find some recipes, maybe watch some you know, 340 00:17:41,480 --> 00:17:43,840 Speaker 2: some films to get you pumped up. Whatever the meat 341 00:17:43,880 --> 00:17:46,760 Speaker 2: eater dot Com has you covered. We have so much content, 342 00:17:46,880 --> 00:17:50,960 Speaker 2: not only whitetail stuff, but fishing, hunting, Western big game, 343 00:17:51,520 --> 00:17:55,439 Speaker 2: upland stuff, caliber battles, whatever you name it. You can 344 00:17:55,480 --> 00:17:57,359 Speaker 2: go find it there, and you can kill a lot 345 00:17:57,400 --> 00:18:01,040 Speaker 2: of time on your boss's dime doing that. As always, 346 00:18:01,680 --> 00:18:03,520 Speaker 2: thank you so much for listening and for all your 347 00:18:03,520 --> 00:18:07,000 Speaker 2: support here. Truly appreciate it. We would be nothing without 348 00:18:07,000 --> 00:18:09,239 Speaker 2: the audience, so thank you so much for checking in 349 00:18:09,320 --> 00:18:11,560 Speaker 2: and being loyal to us and giving us your support. 350 00:18:11,600 --> 00:18:13,359 Speaker 2: We appreciate it so much