1 00:00:01,280 --> 00:00:05,120 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,120 --> 00:00:08,920 Speaker 1: to the fundamentals of better deer hunting, presented by first Light, 3 00:00:09,240 --> 00:00:13,600 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:14,120 --> 00:00:18,680 Speaker 1: First Light Go Farther, Stay Longer, and now your host 5 00:00:19,040 --> 00:00:19,919 Speaker 1: Tony Peterson. 6 00:00:20,880 --> 00:00:23,360 Speaker 2: Hey everyone, welcome to the Wire to Hunt Foundation's podcast, 7 00:00:23,400 --> 00:00:25,360 Speaker 2: which is brought to you by first Light. I'm your host, 8 00:00:25,400 --> 00:00:28,280 Speaker 2: Tony Peterson, and today's episode is all about thinking about 9 00:00:28,360 --> 00:00:42,080 Speaker 2: deer and what they actually do throughout the entire day wildlife. 10 00:00:43,080 --> 00:00:44,440 Speaker 2: If you don't live out there in the wild with 11 00:00:44,479 --> 00:00:48,760 Speaker 2: all the critters, it's sort of an abstract concept. I mean, 12 00:00:49,280 --> 00:00:51,360 Speaker 2: in some ways, we often only think of them in 13 00:00:51,440 --> 00:00:53,600 Speaker 2: terms of what they could do for us, or, in 14 00:00:53,640 --> 00:00:56,400 Speaker 2: the case of deer another big game, how we can 15 00:00:56,440 --> 00:00:59,400 Speaker 2: cross paths with them during a certain part of the year, 16 00:01:00,120 --> 00:01:02,880 Speaker 2: during certain parts of certain days. But the truth is 17 00:01:03,080 --> 00:01:06,319 Speaker 2: they're out there every day and what they do we 18 00:01:06,400 --> 00:01:10,000 Speaker 2: often have no clue about. That's what this episode is 19 00:01:10,000 --> 00:01:12,600 Speaker 2: really meant to focus on, which is thinking about the 20 00:01:12,640 --> 00:01:15,720 Speaker 2: animals we love to hunt as a permanent fixture on 21 00:01:15,760 --> 00:01:19,399 Speaker 2: the landscape and not something that just exists when it's 22 00:01:19,440 --> 00:01:21,000 Speaker 2: time for us to go climb into a tree and 23 00:01:21,040 --> 00:01:31,520 Speaker 2: try to deflate their lungs. As a society, we have 24 00:01:31,600 --> 00:01:35,880 Speaker 2: a weird fascination with serial killers. Criminals in general, actually, 25 00:01:36,160 --> 00:01:40,480 Speaker 2: but serial killers specifically. Go turn on Netflix or Hulu 26 00:01:40,560 --> 00:01:43,480 Speaker 2: or whatever seventeen different streaming services you pay for now 27 00:01:43,520 --> 00:01:46,319 Speaker 2: that you don't pay for cable, and you can feast 28 00:01:46,400 --> 00:01:50,240 Speaker 2: on the murder mysteries until you're full up. You can 29 00:01:50,240 --> 00:01:54,840 Speaker 2: find documentaries on all the serial killers out there, gay Cy, Dahmer, BTK, 30 00:01:55,240 --> 00:01:58,760 Speaker 2: on and on. You can watch dramas and series on 31 00:01:58,880 --> 00:02:02,400 Speaker 2: serial killers like Dexter. You can learn about the women 32 00:02:02,440 --> 00:02:05,520 Speaker 2: who love serial killers and who send them letters and 33 00:02:05,560 --> 00:02:09,480 Speaker 2: even agree to marry them. This says something about how 34 00:02:09,600 --> 00:02:13,080 Speaker 2: dumb we are with celebrities and fame, probably or just 35 00:02:13,120 --> 00:02:16,120 Speaker 2: how batshit crazy some people are. And I'm not talking 36 00:02:16,120 --> 00:02:18,359 Speaker 2: about the dudes who racked up a crazy BodyCount while 37 00:02:18,400 --> 00:02:22,520 Speaker 2: pretending to be normal members of society. It's wild. And 38 00:02:22,560 --> 00:02:25,320 Speaker 2: what's weird is if you pay attention to serial killers 39 00:02:25,320 --> 00:02:28,280 Speaker 2: at all, they nearly all got caught because they made 40 00:02:28,320 --> 00:02:30,920 Speaker 2: a mistake. After following some kind of pattern for a 41 00:02:30,960 --> 00:02:36,120 Speaker 2: long time, they became predictable. They also found a lot 42 00:02:36,120 --> 00:02:39,840 Speaker 2: of their victims through either random opportunity or the patterns 43 00:02:40,000 --> 00:02:44,440 Speaker 2: that were you guessed it predictable. I thought about this 44 00:02:44,520 --> 00:02:47,560 Speaker 2: recently after appearing as a guest on The Nine Finger Chronicles, 45 00:02:47,919 --> 00:02:50,960 Speaker 2: a podcast hosted by Dan Johnson, who might just be 46 00:02:51,040 --> 00:02:53,960 Speaker 2: my long lost twin brother. While his show is a 47 00:02:54,040 --> 00:02:56,960 Speaker 2: hunting podcast, we mostly talk about things that aren't related 48 00:02:56,960 --> 00:03:00,320 Speaker 2: to hunting, which is what we were doing recently. He 49 00:03:00,360 --> 00:03:02,520 Speaker 2: and I were having a good old bitch session about 50 00:03:02,520 --> 00:03:05,320 Speaker 2: our wives and kids when I casually mentioned how often 51 00:03:05,440 --> 00:03:09,120 Speaker 2: my family members, who aren't two feet tall and black 52 00:03:09,160 --> 00:03:12,920 Speaker 2: and super into retrieving pheasants, often leave stuff right at 53 00:03:12,960 --> 00:03:16,080 Speaker 2: the top of the stairs. Now this might not sound 54 00:03:16,120 --> 00:03:18,320 Speaker 2: like a big deal, but we live in a normal 55 00:03:18,320 --> 00:03:21,000 Speaker 2: split level house, so when you walk through our front door, 56 00:03:21,240 --> 00:03:25,679 Speaker 2: you either go upstairs right away or downstairs. Since most 57 00:03:25,720 --> 00:03:28,200 Speaker 2: of the living we do is upstairs, the area right 58 00:03:28,200 --> 00:03:31,200 Speaker 2: at the top of my stairs is without doubt the 59 00:03:31,200 --> 00:03:34,840 Speaker 2: most high traffic spot in our house. It's also where 60 00:03:34,880 --> 00:03:37,440 Speaker 2: my family likes to leave pretty much anything and everything 61 00:03:37,560 --> 00:03:41,520 Speaker 2: that they could carry into the house. Essentially, it's an 62 00:03:41,560 --> 00:03:44,200 Speaker 2: obstacle course twenty four to seven, and it doesn't have 63 00:03:44,360 --> 00:03:48,680 Speaker 2: to be, and it drives me absolutely freaking crazy. It's 64 00:03:48,720 --> 00:03:52,480 Speaker 2: also a location where if you plan to hunt my family, 65 00:03:52,960 --> 00:03:55,920 Speaker 2: you'd want to set up as an ambush spot. This 66 00:03:56,000 --> 00:03:57,839 Speaker 2: is what I've said to Dan, and I've thought about 67 00:03:57,880 --> 00:04:00,560 Speaker 2: it a lot since, because while it's more been kind 68 00:04:00,560 --> 00:04:05,000 Speaker 2: of weird, it's just true. If you were to scout 69 00:04:05,080 --> 00:04:06,600 Speaker 2: us out and try to fill a tag on one 70 00:04:06,600 --> 00:04:09,080 Speaker 2: of the Peterson's, you could do far worse than setting 71 00:04:09,160 --> 00:04:12,080 Speaker 2: up shop right where we are all funneled into the 72 00:04:12,120 --> 00:04:15,200 Speaker 2: second floor. This led me to think about how often 73 00:04:15,280 --> 00:04:17,320 Speaker 2: we ride bikes or walk through a park somewhere in 74 00:04:17,320 --> 00:04:20,160 Speaker 2: our neighborhood, and how often I think about hunting deer 75 00:04:20,200 --> 00:04:23,000 Speaker 2: in some of those places. I'm sure you do this too, 76 00:04:24,040 --> 00:04:25,800 Speaker 2: but I spent a lot of time looking at trees 77 00:04:25,839 --> 00:04:27,960 Speaker 2: and thinking about how I'd set up along the mode 78 00:04:27,960 --> 00:04:30,640 Speaker 2: trails and edges that are all over the wooded parks. 79 00:04:31,160 --> 00:04:33,320 Speaker 2: That inevitably leads me to think about how many of 80 00:04:33,360 --> 00:04:36,680 Speaker 2: these clueless suburbanites would walk right by without looking up. 81 00:04:37,200 --> 00:04:39,440 Speaker 2: I bet most of them would have no idea that 82 00:04:39,480 --> 00:04:41,880 Speaker 2: someone was saddled up about twenty feet over their heads. 83 00:04:42,880 --> 00:04:45,240 Speaker 2: Of course, that line of thinking leads you to go 84 00:04:45,279 --> 00:04:46,800 Speaker 2: down the rabbit hole of what if you had to 85 00:04:46,880 --> 00:04:49,479 Speaker 2: hunt people for some reason, maybe during a full on 86 00:04:49,560 --> 00:04:52,839 Speaker 2: invasion of our country, which is deep in weird fantasyland. 87 00:04:52,960 --> 00:04:56,719 Speaker 2: I get it, But you guys have those thoughts right right? 88 00:04:58,240 --> 00:05:00,000 Speaker 2: What habits of the enemy would you have to learn? 89 00:05:00,640 --> 00:05:02,839 Speaker 2: You'd probably try to figure out where they slept, where 90 00:05:02,839 --> 00:05:05,800 Speaker 2: they walked, where they ate, how they got supplies, and 91 00:05:05,839 --> 00:05:09,000 Speaker 2: where they were most vulnerable. You'd think about their twenty 92 00:05:09,040 --> 00:05:11,719 Speaker 2: four hour cycle of life and really try to understand 93 00:05:11,720 --> 00:05:14,840 Speaker 2: as many parts as possible. It wouldn't matter if it 94 00:05:14,880 --> 00:05:17,600 Speaker 2: was November or March or July or whenever. You'd want 95 00:05:17,600 --> 00:05:20,200 Speaker 2: as much information as you could get. Do you see 96 00:05:20,200 --> 00:05:24,719 Speaker 2: where I'm going with this? Deer are mostly a mystery 97 00:05:24,720 --> 00:05:28,840 Speaker 2: to us. And what's worse, we all think we know 98 00:05:28,920 --> 00:05:31,800 Speaker 2: what they do. We all think we know where they 99 00:05:31,839 --> 00:05:34,760 Speaker 2: bed and feed and travel to do their thing, and 100 00:05:34,839 --> 00:05:38,520 Speaker 2: we do at least maybe about seven percent of the time. 101 00:05:38,760 --> 00:05:42,200 Speaker 2: Those daily movements are predictable. We know they'll feed on 102 00:05:42,200 --> 00:05:47,599 Speaker 2: the soybeans because well duh, but why not on opening night? 103 00:05:47,880 --> 00:05:51,479 Speaker 2: And when you're hunting them, we all know they'll water 104 00:05:51,640 --> 00:05:54,560 Speaker 2: here and walk there in bed on that bench and 105 00:05:54,600 --> 00:05:58,160 Speaker 2: whatever else. But we are mostly wrong about that at 106 00:05:58,240 --> 00:06:00,160 Speaker 2: any given point when we try to hunt them them 107 00:06:00,480 --> 00:06:03,800 Speaker 2: in those locations. Part of that is because we tip 108 00:06:03,839 --> 00:06:06,240 Speaker 2: our hand to them too much, and they just know 109 00:06:06,360 --> 00:06:09,919 Speaker 2: we are there. That's a given and it's never not 110 00:06:10,080 --> 00:06:12,520 Speaker 2: going to be a part of hunting. But a bigger 111 00:06:12,560 --> 00:06:14,760 Speaker 2: part of it is that we just don't understand deer 112 00:06:14,760 --> 00:06:17,919 Speaker 2: in their daily lives a whole lot. We try to 113 00:06:18,000 --> 00:06:21,360 Speaker 2: understand sign and what it means, but we narrow our 114 00:06:21,400 --> 00:06:23,599 Speaker 2: focus down so much that we are often only paying 115 00:06:23,600 --> 00:06:26,120 Speaker 2: attention to certain kinds of sign at certain times of 116 00:06:26,120 --> 00:06:29,800 Speaker 2: the season. We try to understand food sources, but really 117 00:06:29,880 --> 00:06:32,120 Speaker 2: we often focus on the big picture buffets that are 118 00:06:32,120 --> 00:06:35,599 Speaker 2: easy to figure out. We often don't take too deep 119 00:06:35,640 --> 00:06:38,200 Speaker 2: of a dive into brows in many cases, and we 120 00:06:38,279 --> 00:06:42,360 Speaker 2: mostly react to seasonal foods like masts, often after they 121 00:06:42,360 --> 00:06:44,760 Speaker 2: aren't that relevant and the deer have mostly moved on 122 00:06:44,839 --> 00:06:50,039 Speaker 2: to something else. We rarely rarely spend enough time figuring 123 00:06:50,080 --> 00:06:53,039 Speaker 2: out a deer's whole life to find that sweet spot 124 00:06:53,080 --> 00:06:54,640 Speaker 2: at the top of the stairs. While the bucks and 125 00:06:54,680 --> 00:06:57,600 Speaker 2: the does go through multiple times a day, and the does, 126 00:06:57,760 --> 00:07:00,480 Speaker 2: even the dough fawns leave all their gimba and shoes 127 00:07:00,480 --> 00:07:03,960 Speaker 2: and laundry baskets and books and random detritus laying right 128 00:07:04,000 --> 00:07:06,240 Speaker 2: there where the dominant buck has to walk, and sometimes 129 00:07:06,279 --> 00:07:09,080 Speaker 2: he trips, and sometimes he stubs his toe on something 130 00:07:09,120 --> 00:07:10,960 Speaker 2: like a case of bottled water, and when he does, 131 00:07:10,960 --> 00:07:13,920 Speaker 2: he invents new curse words that the neighboring deer can 132 00:07:13,960 --> 00:07:16,720 Speaker 2: hear him screaming after he bends his pinky toenail right 133 00:07:16,760 --> 00:07:31,920 Speaker 2: over on itself. The thing is, we can't know a 134 00:07:32,000 --> 00:07:34,480 Speaker 2: buck's whole life unless we put up a ten foot 135 00:07:34,520 --> 00:07:37,600 Speaker 2: fence around him and then radio color him. Even then 136 00:07:38,240 --> 00:07:40,200 Speaker 2: we probably wouldn't learn some of the subtle movements and 137 00:07:40,240 --> 00:07:43,560 Speaker 2: patterns about his day. I'll think about this with wild deer, 138 00:07:44,040 --> 00:07:47,320 Speaker 2: and there are a whole lot more gaps in our knowledge. 139 00:07:47,840 --> 00:07:52,320 Speaker 2: We fill these in because it's comforting. Humans do this 140 00:07:52,400 --> 00:07:56,720 Speaker 2: a lot. What we don't have answers for we often 141 00:07:56,760 --> 00:07:58,760 Speaker 2: make up, and then over time we just start to 142 00:07:58,800 --> 00:08:01,480 Speaker 2: believe them. We do this to the point where even 143 00:08:01,520 --> 00:08:04,600 Speaker 2: when we are shown that we are wrong, we don't 144 00:08:04,600 --> 00:08:08,240 Speaker 2: believe it. This has never been a great feature of mankind, 145 00:08:08,760 --> 00:08:12,120 Speaker 2: and it applies to so many aspects of our life. 146 00:08:12,280 --> 00:08:16,560 Speaker 2: Take one of my favorite topics, for example space. Go 147 00:08:16,640 --> 00:08:19,720 Speaker 2: back about twenty four hundred years ago and you have 148 00:08:19,760 --> 00:08:22,800 Speaker 2: a fellow named Aristotle who said a lot of profound 149 00:08:22,840 --> 00:08:26,680 Speaker 2: things and a lot of dumb things, but he was 150 00:08:26,720 --> 00:08:30,480 Speaker 2: a voice of authority and reason and intellect. So when 151 00:08:30,560 --> 00:08:34,120 Speaker 2: he said that the stars in the sky don't change, 152 00:08:34,160 --> 00:08:37,680 Speaker 2: people believed it than the Church, and that's with the 153 00:08:37,720 --> 00:08:42,679 Speaker 2: Capital C believed it too. They were the authority at 154 00:08:42,679 --> 00:08:45,640 Speaker 2: the time. So we had a whole bunch of people 155 00:08:45,720 --> 00:08:50,200 Speaker 2: in Europe, specifically during several hundred years who believed that 156 00:08:50,240 --> 00:08:53,960 Speaker 2: the stars in the sky were an unmoving fixture, like 157 00:08:54,000 --> 00:08:57,800 Speaker 2: the light hanging over your kitchen table kind of. Now, 158 00:08:58,320 --> 00:09:02,400 Speaker 2: go back about seven thousand years earlier than Aristotle's time, 159 00:09:02,800 --> 00:09:04,920 Speaker 2: and you have a star that was ten times the 160 00:09:04,960 --> 00:09:08,079 Speaker 2: size of our sun in the Taurus constellation that went 161 00:09:08,200 --> 00:09:12,440 Speaker 2: super nova, which means that it spent several billion years 162 00:09:12,480 --> 00:09:16,200 Speaker 2: with an internal fight going on where gravity finally won. 163 00:09:17,400 --> 00:09:20,680 Speaker 2: You see, stars are kind of just like giant nuclear 164 00:09:20,720 --> 00:09:25,800 Speaker 2: reactors which get extremely hot. No shit, right. Stars are 165 00:09:25,920 --> 00:09:28,760 Speaker 2: essentially big balls of fuel. They have an insane amount 166 00:09:28,760 --> 00:09:31,560 Speaker 2: of mass, which means they have an insane amount of gravity. 167 00:09:31,960 --> 00:09:34,600 Speaker 2: That gravity is trying hard to pull everything toward the center. 168 00:09:35,040 --> 00:09:37,840 Speaker 2: But the nuclear fusion that happens at levels we can't 169 00:09:37,880 --> 00:09:41,680 Speaker 2: fathom on the inside of it creates heat, which generates 170 00:09:41,720 --> 00:09:46,200 Speaker 2: outward pressure, which balances the effect of gravity until the 171 00:09:46,240 --> 00:09:49,280 Speaker 2: fuel starts to burn out. Then the stars cool just 172 00:09:49,480 --> 00:09:53,000 Speaker 2: enough where gravity gets a definitive edge and the stars collapse. 173 00:09:54,320 --> 00:09:57,720 Speaker 2: This happens so fast that something that is a million 174 00:09:57,800 --> 00:09:59,760 Speaker 2: times the size of Earth can collapse in a matter 175 00:09:59,760 --> 00:10:03,200 Speaker 2: of life like fifteen seconds, which, as you can imagine, 176 00:10:03,480 --> 00:10:06,679 Speaker 2: is quite the event. Now, the light from this explosion 177 00:10:06,720 --> 00:10:08,880 Speaker 2: travels at one hundred and eighty six thousand miles a 178 00:10:08,920 --> 00:10:12,480 Speaker 2: second in all directions. When this happened to that star 179 00:10:12,600 --> 00:10:15,880 Speaker 2: in the Tourist constellation I mentioned earlier, the light spent 180 00:10:16,040 --> 00:10:18,920 Speaker 2: seven thousand years shooting across the cosmos until it was 181 00:10:19,000 --> 00:10:24,160 Speaker 2: visible on Earth. Chinese astronomers wrote about this celestial event. 182 00:10:25,000 --> 00:10:28,920 Speaker 2: Middle Eastern astronomers wrote about it. Native Americans down there 183 00:10:28,920 --> 00:10:31,640 Speaker 2: in the southwest corner of the United States made rock 184 00:10:31,679 --> 00:10:36,960 Speaker 2: engravings about it. Europe collectively look the other way, and 185 00:10:37,000 --> 00:10:39,760 Speaker 2: it was kind of all crickets from them, which is 186 00:10:39,800 --> 00:10:43,480 Speaker 2: some serious denial considering the supernova was so bright that 187 00:10:43,559 --> 00:10:46,720 Speaker 2: for a while it was visible in broad daylight. The 188 00:10:46,760 --> 00:10:50,720 Speaker 2: people there during that time of our history believe that 189 00:10:50,760 --> 00:10:53,360 Speaker 2: the stars don't move and they don't change, and therefore 190 00:10:54,000 --> 00:10:58,400 Speaker 2: they just didn't accept what they were seeing. Humans do 191 00:10:58,480 --> 00:11:02,960 Speaker 2: this with so many things, like you guessed it, golf 192 00:11:03,760 --> 00:11:07,080 Speaker 2: and hunting. How many of you find listeners believe that 193 00:11:07,200 --> 00:11:10,720 Speaker 2: deer mostly don't move during the hottest part of the day, 194 00:11:11,679 --> 00:11:13,920 Speaker 2: that they mostly lay up in the shade and wait 195 00:11:14,000 --> 00:11:16,679 Speaker 2: out the long late summer hours until the cooler part 196 00:11:16,679 --> 00:11:19,679 Speaker 2: of the day shows up. How many of you walked 197 00:11:19,679 --> 00:11:21,559 Speaker 2: out to hang stands like I did a couple of 198 00:11:21,600 --> 00:11:24,080 Speaker 2: weeks ago and saw several deer out feeding in a 199 00:11:24,120 --> 00:11:26,360 Speaker 2: bean field in the blazing sunlight when the mercury was 200 00:11:26,400 --> 00:11:30,160 Speaker 2: touched in the mid nineties. Or how often have you 201 00:11:30,200 --> 00:11:32,360 Speaker 2: gotten random pictures on your trail camera of a buck 202 00:11:32,400 --> 00:11:35,000 Speaker 2: walking along a trail at noon in the end of August, 203 00:11:35,880 --> 00:11:38,959 Speaker 2: or maybe feeding in the alfalfa field at ten in 204 00:11:39,000 --> 00:11:42,240 Speaker 2: the morning on October first? Do you look the other 205 00:11:42,280 --> 00:11:46,160 Speaker 2: way when this stuff happens? You shouldn't, even though I 206 00:11:46,240 --> 00:11:49,319 Speaker 2: know that is easier said than done. Think about this 207 00:11:49,440 --> 00:11:53,559 Speaker 2: another way. How often have you glassed during the summer 208 00:11:54,080 --> 00:11:56,679 Speaker 2: or sat on a field edge during the season and 209 00:11:56,760 --> 00:11:59,240 Speaker 2: watched deer go back and forth between the cover and 210 00:11:59,320 --> 00:12:02,440 Speaker 2: the groceries instead of just walking into the field and 211 00:12:02,440 --> 00:12:05,040 Speaker 2: feeding NonStop. You know, they spend ten minutes in the 212 00:12:05,080 --> 00:12:06,679 Speaker 2: food source and then they head into the woods for 213 00:12:06,720 --> 00:12:09,240 Speaker 2: a while. Then they bounce back out on a different trail. 214 00:12:10,440 --> 00:12:14,360 Speaker 2: What are they doing? Well, they're probably like you when 215 00:12:14,400 --> 00:12:17,360 Speaker 2: you're at a summer cookout. Grab a burger to put 216 00:12:17,360 --> 00:12:20,640 Speaker 2: on your plate, maybe some fruit, scoop of coleslaw, whatever. 217 00:12:21,360 --> 00:12:23,760 Speaker 2: When you finish that, you think I could eat a 218 00:12:23,800 --> 00:12:26,520 Speaker 2: little more, so you go back for round two, and 219 00:12:26,559 --> 00:12:30,720 Speaker 2: then someone puts out dessert. You think, deer don't think 220 00:12:30,800 --> 00:12:33,040 Speaker 2: like that during the summer and the early season, when 221 00:12:33,040 --> 00:12:37,840 Speaker 2: food sources are most variable and abundant, they do. Now 222 00:12:38,080 --> 00:12:42,480 Speaker 2: does it matter? Maybe maybe you can't hunt the main 223 00:12:42,600 --> 00:12:45,600 Speaker 2: food source because you don't have permission. Now you have 224 00:12:45,679 --> 00:12:48,839 Speaker 2: to hunt in the woods. Now, how does that back 225 00:12:48,920 --> 00:12:52,600 Speaker 2: and forth pattern play out? Maybe you assume that bucks 226 00:12:52,640 --> 00:12:55,160 Speaker 2: are nocturnal and they mostly bed all day long and 227 00:12:55,200 --> 00:12:58,000 Speaker 2: don't move during the hours when you can legally shoot them. 228 00:12:58,559 --> 00:13:01,199 Speaker 2: Do your cameras in the woods all summer long support 229 00:13:01,280 --> 00:13:05,720 Speaker 2: that notion? Does your early to mid season hunting support 230 00:13:05,720 --> 00:13:09,440 Speaker 2: that notion. Do you really think that a buck is 231 00:13:09,520 --> 00:13:12,000 Speaker 2: so cautious that he's going to lay down in a 232 00:13:12,000 --> 00:13:15,000 Speaker 2: secluded bed and not get up one time to take 233 00:13:15,000 --> 00:13:16,960 Speaker 2: a dump or stretch his legs or nibble on some 234 00:13:17,000 --> 00:13:21,760 Speaker 2: brows or snarf up some acorns. Probably not, But he 235 00:13:21,840 --> 00:13:24,760 Speaker 2: might not travel half of a mile to do those things. 236 00:13:25,400 --> 00:13:27,559 Speaker 2: His movements might only take him one hundred or two 237 00:13:27,600 --> 00:13:30,920 Speaker 2: hundred yards from his bed, maybe no more. But he's 238 00:13:30,960 --> 00:13:33,320 Speaker 2: gonna get up and he's gonna move. He's going to 239 00:13:33,360 --> 00:13:36,440 Speaker 2: do these things every single day, even if we don't 240 00:13:36,480 --> 00:13:39,640 Speaker 2: believe it or don't expect it. Now, there is a 241 00:13:39,679 --> 00:13:43,440 Speaker 2: component to recognizing this and trying to learn more about 242 00:13:43,440 --> 00:13:47,200 Speaker 2: their daily lives that is so important. And it's not 243 00:13:47,320 --> 00:13:50,480 Speaker 2: just about always being in the game. It's not just 244 00:13:50,559 --> 00:13:53,600 Speaker 2: about finding the exact right tree to play some high 245 00:13:53,679 --> 00:13:56,720 Speaker 2: level pattern of deer hunting with to kill a buck 246 00:13:56,760 --> 00:14:00,600 Speaker 2: when most folks think it's not quite possible. It's much 247 00:14:00,640 --> 00:14:03,920 Speaker 2: more simple than that. It's confidence in yourself to try 248 00:14:03,960 --> 00:14:06,240 Speaker 2: new things and hunt when you previously thought it wasn't 249 00:14:06,240 --> 00:14:09,640 Speaker 2: worth it. That's so huge, my friends, and it's something 250 00:14:09,720 --> 00:14:12,560 Speaker 2: we don't face very often because it's easier to fill 251 00:14:12,600 --> 00:14:14,640 Speaker 2: in the blanks and just pat ourselves on the back 252 00:14:14,679 --> 00:14:18,199 Speaker 2: for not hunting at certain times in certain conditions, while 253 00:14:18,200 --> 00:14:21,240 Speaker 2: thinking all along that we are being good hunters by 254 00:14:21,240 --> 00:14:24,840 Speaker 2: playing it safe. Instead, you want to learn about their 255 00:14:24,880 --> 00:14:28,680 Speaker 2: daily lives. Spend some more time watching them, run your 256 00:14:28,680 --> 00:14:31,400 Speaker 2: cameras closer together to see how often they use one 257 00:14:31,440 --> 00:14:34,520 Speaker 2: trail and not another. That'll blow your minds over time, 258 00:14:34,640 --> 00:14:37,520 Speaker 2: I promise you. Instead of looking to confirm what you 259 00:14:37,600 --> 00:14:40,120 Speaker 2: think you know, look to see what you're missing in 260 00:14:40,160 --> 00:14:45,480 Speaker 2: their daily lives. Try to understand what they do why 261 00:14:45,520 --> 00:14:48,040 Speaker 2: they do it, instead of buying into the idea that 262 00:14:48,080 --> 00:14:51,040 Speaker 2: we have them all figured out and there are huge 263 00:14:51,040 --> 00:14:54,200 Speaker 2: sections of the day where they just aren't killable, or 264 00:14:54,200 --> 00:14:57,280 Speaker 2: where there are sizeable sections of any given season where 265 00:14:57,280 --> 00:15:01,480 Speaker 2: they just aren't killable. Personally, don't believe any of that stuff, 266 00:15:02,160 --> 00:15:05,600 Speaker 2: mostly because there is evidence all over that it's pure bunk. 267 00:15:06,840 --> 00:15:09,920 Speaker 2: But just like those Dark Age early Europeans who saw 268 00:15:09,920 --> 00:15:13,400 Speaker 2: a bright star appear in the sky even during the daytime, 269 00:15:14,120 --> 00:15:17,440 Speaker 2: we just like to stick to what we know. This 270 00:15:17,640 --> 00:15:20,240 Speaker 2: might save more deer and elk and antelope and turkeys 271 00:15:20,280 --> 00:15:23,360 Speaker 2: every year than all of the shifting winds and rush 272 00:15:23,400 --> 00:15:27,160 Speaker 2: shots and sloppy setups, ever will and it all starts 273 00:15:27,200 --> 00:15:29,760 Speaker 2: with the idea that we don't know what we don't know, 274 00:15:30,320 --> 00:15:32,680 Speaker 2: but we sure as hell can learn some stuff we 275 00:15:32,720 --> 00:15:36,720 Speaker 2: don't know. This, like going on a fad diet or 276 00:15:36,760 --> 00:15:39,800 Speaker 2: starting a workout regimen, is easy to embrace in a 277 00:15:39,840 --> 00:15:43,920 Speaker 2: big way, but is better adopted in small, manageable chunks. 278 00:15:44,800 --> 00:15:48,000 Speaker 2: I like to do this by thinking about where Buck's 279 00:15:48,000 --> 00:15:51,560 Speaker 2: going to feed tonight and how he'll leave the food 280 00:15:51,640 --> 00:15:54,720 Speaker 2: in the morning. Where is he likely headed? Is he 281 00:15:54,760 --> 00:15:57,000 Speaker 2: going to go munch on some brows or soft mass 282 00:15:57,040 --> 00:16:02,160 Speaker 2: like grapes? Where's the water is to be thirsty? Probably? 283 00:16:02,880 --> 00:16:04,920 Speaker 2: Where are the betting options? Is he more likely to 284 00:16:04,960 --> 00:16:07,520 Speaker 2: tuck into a shaded bench on a wooded hillside or 285 00:16:07,560 --> 00:16:10,240 Speaker 2: go layout in a grassy waterway in a field where 286 00:16:10,240 --> 00:16:12,840 Speaker 2: the wind keeps him cool and keeps some of the 287 00:16:12,880 --> 00:16:16,560 Speaker 2: bugs off his nose and his ears? How often does 288 00:16:16,600 --> 00:16:20,240 Speaker 2: he leave the property your scouting and hunting? Why would 289 00:16:20,280 --> 00:16:23,360 Speaker 2: he leave? What would make him come back and spend 290 00:16:23,360 --> 00:16:27,120 Speaker 2: more time there? How about the ladies in the scrapper bucks? 291 00:16:27,640 --> 00:16:30,480 Speaker 2: If you laser focus your potential deer knowledge solely on 292 00:16:30,560 --> 00:16:33,400 Speaker 2: mature bucks and what they like to do in a day. 293 00:16:33,600 --> 00:16:37,080 Speaker 2: You are missing a huge window of opportunity. The other 294 00:16:37,160 --> 00:16:39,280 Speaker 2: deer in the herd can teach us plenty if we're 295 00:16:39,320 --> 00:16:42,640 Speaker 2: willing to pay attention to them. In fact, that's what 296 00:16:42,680 --> 00:16:45,480 Speaker 2: I'm going to talk about next week. I've been scouting 297 00:16:45,720 --> 00:16:48,120 Speaker 2: quite a bit the last few weeks, and it has 298 00:16:48,200 --> 00:16:50,920 Speaker 2: just become so much more obvious to me how important 299 00:16:50,960 --> 00:16:53,120 Speaker 2: it is to pay attention to Doze as well as 300 00:16:53,120 --> 00:16:55,640 Speaker 2: the big Bucks, not only what they do in their 301 00:16:55,720 --> 00:16:58,800 Speaker 2: daily lives, but how they react to situations where they 302 00:16:58,840 --> 00:17:01,440 Speaker 2: travel at any given moment, and a whole host to 303 00:17:01,440 --> 00:17:05,440 Speaker 2: other factors. There's much to learn, my friends, and we're 304 00:17:05,480 --> 00:17:09,320 Speaker 2: just getting started. So think about those bucks, think about 305 00:17:09,520 --> 00:17:12,280 Speaker 2: what you think you know, get out there and prove 306 00:17:12,320 --> 00:17:15,560 Speaker 2: yourself wrong, and then listen in next week because I'm 307 00:17:15,560 --> 00:17:18,560 Speaker 2: going to cover that topic that gets no love but 308 00:17:18,680 --> 00:17:22,320 Speaker 2: will make you a better hunter. That's it for this week, 309 00:17:22,320 --> 00:17:24,600 Speaker 2: my friends. I'm Tony Peterson and this is the Wire 310 00:17:24,600 --> 00:17:27,240 Speaker 2: to Hunt Foundation's podcast, which is brought to you by 311 00:17:27,359 --> 00:17:29,879 Speaker 2: First Light. As always, thank you so much for listening 312 00:17:29,920 --> 00:17:32,200 Speaker 2: in for your support all of us at meat Eater 313 00:17:32,200 --> 00:17:35,000 Speaker 2: here we really really appreciate it. If you'll want some 314 00:17:35,080 --> 00:17:39,160 Speaker 2: more white tail content or out content, fishing content, whatever 315 00:17:39,200 --> 00:17:41,480 Speaker 2: you name it, head on over to the meadeater dot 316 00:17:41,520 --> 00:17:45,160 Speaker 2: com and you will see all kinds of how to videos, 317 00:17:45,240 --> 00:17:49,679 Speaker 2: all kinds of our series articles, podcasts, everything you need 318 00:17:49,720 --> 00:17:50,480 Speaker 2: to scratch that itch.