1 00:00:01,000 --> 00:00:05,720 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,760 --> 00:00:10,760 Speaker 1: to the fundamentals of better deer hunting, and now your host, 3 00:00:11,119 --> 00:00:16,840 Speaker 1: Tony Peterson. Welcome to the Wire to Hunt Foundations podcast, 4 00:00:16,920 --> 00:00:19,720 Speaker 1: which is brought to you by First Light. Today's episode 5 00:00:19,840 --> 00:00:22,000 Speaker 1: is all about how dear really kind of are like 6 00:00:22,160 --> 00:00:39,159 Speaker 1: rabbits with anilers. If I have a catchphrase, it's rabbits 7 00:00:39,159 --> 00:00:41,680 Speaker 1: with handlers. I say it on a podcast all the time, 8 00:00:42,000 --> 00:00:45,199 Speaker 1: but I also believe it. I don't think dear are 9 00:00:45,240 --> 00:00:48,199 Speaker 1: really as mysterious as we like to make them out 10 00:00:48,240 --> 00:00:52,040 Speaker 1: to be, And in fact, we've probably demystified the white 11 00:00:52,040 --> 00:00:54,320 Speaker 1: tail more than just about any other critter out there, 12 00:00:54,480 --> 00:00:58,200 Speaker 1: just just through its popularity. Now, I'm not saying they're 13 00:00:58,240 --> 00:01:01,120 Speaker 1: not fascinating wonderful animals, because I really think they are. 14 00:01:01,600 --> 00:01:04,120 Speaker 1: In fact, if you take the Labrador Retriever off the list, 15 00:01:04,720 --> 00:01:06,800 Speaker 1: I don't know. White tales are probably my favorite animal, 16 00:01:07,360 --> 00:01:09,360 Speaker 1: but they are still kind of like rabbits with anilers, 17 00:01:09,520 --> 00:01:24,600 Speaker 1: and that's what this whole episode is really about. Listen, folks, 18 00:01:25,319 --> 00:01:28,080 Speaker 1: I'm gonna go in a weird direction with this one 19 00:01:28,080 --> 00:01:29,959 Speaker 1: at first, so I ask you just to bear me 20 00:01:30,000 --> 00:01:33,120 Speaker 1: out for the next couple of minutes. Okay. Now, I 21 00:01:33,160 --> 00:01:35,880 Speaker 1: often hear from hunters who are frustrated that they can't 22 00:01:35,959 --> 00:01:39,280 Speaker 1: kill big bucks. Hell, I don't. Quite often I hear 23 00:01:39,280 --> 00:01:41,480 Speaker 1: from hunters who are frustrated that they can't kill little 24 00:01:41,480 --> 00:01:44,520 Speaker 1: bucks or dose or fawns. Deer hunting can be tough, 25 00:01:45,240 --> 00:01:48,600 Speaker 1: It can be really difficult. But to frame this up, 26 00:01:49,120 --> 00:01:51,040 Speaker 1: I want to talk about something that I geek out 27 00:01:51,080 --> 00:01:53,960 Speaker 1: over space. Remember I asked you to stay with me here. 28 00:01:55,040 --> 00:01:58,160 Speaker 1: I love space. In fact, I love space so much 29 00:01:58,280 --> 00:01:59,920 Speaker 1: that my wife and I have a running joke who 30 00:02:00,000 --> 00:02:01,800 Speaker 1: you lay down in bed at night? Where she'll turn 31 00:02:01,840 --> 00:02:04,560 Speaker 1: to me and say, you get one space fact, make 32 00:02:04,600 --> 00:02:07,440 Speaker 1: it good. So I have to think really hard about 33 00:02:07,600 --> 00:02:09,600 Speaker 1: I don't know how stars are formed, or what actually 34 00:02:09,639 --> 00:02:12,200 Speaker 1: happened to make planet Earth, or what we know about 35 00:02:12,200 --> 00:02:15,280 Speaker 1: black holes or the sheer distance between us and anything 36 00:02:15,320 --> 00:02:18,200 Speaker 1: else in the cosmos. And then I plucked some tasty 37 00:02:18,200 --> 00:02:20,359 Speaker 1: morsel out of there to feed her with. And she's 38 00:02:20,400 --> 00:02:24,240 Speaker 1: usually unimpressed, but that's okay. She's kind of largely stuck 39 00:02:24,240 --> 00:02:29,040 Speaker 1: with me until something better comes along. Anyway, I love space, 40 00:02:29,400 --> 00:02:32,480 Speaker 1: and right now something amazing is happening out there. There 41 00:02:32,560 --> 00:02:36,200 Speaker 1: is a telescope, the James web Space telescope that is 42 00:02:36,240 --> 00:02:39,520 Speaker 1: sitting at a point in space called L two or 43 00:02:39,600 --> 00:02:43,799 Speaker 1: Lagrange to. This point in space is the sweet spot 44 00:02:43,880 --> 00:02:48,040 Speaker 1: between huge celestial bodies and their gravity. In other words, 45 00:02:48,440 --> 00:02:51,200 Speaker 1: objects in L two tend to just kind of sit 46 00:02:51,280 --> 00:02:54,840 Speaker 1: there because the gravity from the nearest object cancels out 47 00:02:54,880 --> 00:02:57,919 Speaker 1: the gravity from the other nearest object. A fellow named 48 00:02:57,960 --> 00:03:01,000 Speaker 1: Joseph Lagrange figured that out using math that I couldn't 49 00:03:01,000 --> 00:03:04,519 Speaker 1: possibly even come close to be able to understand or 50 00:03:04,600 --> 00:03:08,840 Speaker 1: describe to you. The cell two point is nearly a 51 00:03:08,919 --> 00:03:12,960 Speaker 1: million miles from Earth, and the James Webb Telescope has 52 00:03:13,000 --> 00:03:16,240 Speaker 1: been sitting out there for months now, just cooling off 53 00:03:16,280 --> 00:03:18,960 Speaker 1: and calibrating itself, you know, with the help of course, 54 00:03:19,000 --> 00:03:23,359 Speaker 1: of a whole team of people at NASA. This telescope, 55 00:03:23,440 --> 00:03:28,200 Speaker 1: which weighs roughly fourteen thousand pounds and features a gold 56 00:03:28,320 --> 00:03:30,920 Speaker 1: covered sun shield that measures roughly the size of a 57 00:03:30,960 --> 00:03:34,839 Speaker 1: tennis court, is out there in temperatures of negative three 58 00:03:34,960 --> 00:03:39,280 Speaker 1: hundred and seventy five degrees fahrenheit. It had to cool 59 00:03:39,360 --> 00:03:42,320 Speaker 1: off to that point and was designed to do so 60 00:03:42,320 --> 00:03:44,840 Speaker 1: so that there would be no interference with its imaging 61 00:03:44,840 --> 00:03:48,000 Speaker 1: capabilities because it will be looking for infrared heat signatures 62 00:03:48,040 --> 00:03:50,280 Speaker 1: as it searches for some of the first galaxies to 63 00:03:50,320 --> 00:03:54,560 Speaker 1: form after the Big Bang. This telescope is designed with 64 00:03:54,600 --> 00:03:57,240 Speaker 1: a ton of rubber shock absorbers to keep it from 65 00:03:57,360 --> 00:04:00,440 Speaker 1: vibrating even slightly so that it will be able to 66 00:04:00,440 --> 00:04:03,480 Speaker 1: take crystal clear images of galaxies and stars that are 67 00:04:03,760 --> 00:04:08,640 Speaker 1: far away. Is thirteen point six billion with a b 68 00:04:09,200 --> 00:04:12,560 Speaker 1: light years. The light travels had a hundred and eighty 69 00:04:12,640 --> 00:04:17,520 Speaker 1: six thousand miles per second, or about six trillion miles 70 00:04:17,520 --> 00:04:21,840 Speaker 1: per year. The light that the James Webb Telescope is 71 00:04:21,880 --> 00:04:23,440 Speaker 1: going to look at at least some of the light 72 00:04:24,279 --> 00:04:28,640 Speaker 1: and and take infrared photography of has been traveling for 73 00:04:28,880 --> 00:04:35,599 Speaker 1: thirteen point six billion light years. Essentially, this thing is 74 00:04:35,640 --> 00:04:38,159 Speaker 1: looking back in time at light that has been on 75 00:04:38,200 --> 00:04:41,240 Speaker 1: the move since what we think is probably close to 76 00:04:41,279 --> 00:04:45,280 Speaker 1: the beginning of the universe. But light doesn't stay constant 77 00:04:45,279 --> 00:04:48,280 Speaker 1: for that long, and it does something called red shifting. 78 00:04:48,839 --> 00:04:51,160 Speaker 1: To really understand red shifting, you have to be familiar 79 00:04:51,200 --> 00:04:54,680 Speaker 1: with Einstein's theory or relativity, or at least recognize that 80 00:04:54,720 --> 00:04:56,920 Speaker 1: it's coming into play when the objects in the universe 81 00:04:56,960 --> 00:04:59,800 Speaker 1: like galaxies, keep moving farther and farther away from each other, 82 00:05:00,080 --> 00:05:04,000 Speaker 1: which is what's happening to see this. That James Webb 83 00:05:04,080 --> 00:05:07,279 Speaker 1: Telescope is built with four instruments designed to detect this 84 00:05:07,360 --> 00:05:11,640 Speaker 1: specific type of light. Scientists will also use this telescope 85 00:05:11,680 --> 00:05:15,200 Speaker 1: to try to determine how galaxies form, how stars form, 86 00:05:15,240 --> 00:05:18,120 Speaker 1: and to look for physical and chemical properties of planetary 87 00:05:18,200 --> 00:05:22,039 Speaker 1: systems to investigate the potential for life. Yeah you heard 88 00:05:22,040 --> 00:05:26,839 Speaker 1: that right. Today scientists have discovered thousands of exoplanets, but 89 00:05:26,880 --> 00:05:29,159 Speaker 1: we haven't been able to very accurately observe them to 90 00:05:29,200 --> 00:05:32,000 Speaker 1: see whether they have an atmosphere, and if they do, 91 00:05:32,160 --> 00:05:36,680 Speaker 1: what that atmosphere consists of. The James web Telescope will 92 00:05:36,720 --> 00:05:40,480 Speaker 1: use spectroscopy to do just that. By observing when a 93 00:05:40,520 --> 00:05:43,320 Speaker 1: planet passes in front of its host star, the telescope 94 00:05:43,320 --> 00:05:46,200 Speaker 1: will be able to analyze their atmospheres to decipher what 95 00:05:46,320 --> 00:05:50,120 Speaker 1: types of elements and molecules are present. Some like methane 96 00:05:50,320 --> 00:05:54,640 Speaker 1: could indicate life. It's wild stuff, and you know what, 97 00:05:55,760 --> 00:06:00,520 Speaker 1: people built it, people like you and I. Well, people 98 00:06:00,560 --> 00:06:02,640 Speaker 1: probably a lot smarter than you and I, but still. 99 00:06:03,200 --> 00:06:06,120 Speaker 1: They set out years ago to create a telescope that 100 00:06:06,120 --> 00:06:09,320 Speaker 1: could be launched into space a million miles from Earth 101 00:06:09,760 --> 00:06:14,240 Speaker 1: and conduct amazing experiments on world so distant we will 102 00:06:14,279 --> 00:06:16,760 Speaker 1: never have a chance to even consider visiting them, no 103 00:06:16,800 --> 00:06:23,839 Speaker 1: matter how advanced we get in our space travel. They designed, tested, bill, tested, redesigned, tested, 104 00:06:23,880 --> 00:06:27,240 Speaker 1: and eventually completed this sucker. And then they launched it 105 00:06:27,279 --> 00:06:31,600 Speaker 1: into space and are now controlling it a million miles away. 106 00:06:31,760 --> 00:06:34,119 Speaker 1: It's out there, getting ready to send back the best 107 00:06:34,160 --> 00:06:36,680 Speaker 1: images we will have to date of a part of 108 00:06:36,720 --> 00:06:41,120 Speaker 1: the universe we've never seen. Think about that. Now, think 109 00:06:41,160 --> 00:06:44,560 Speaker 1: about this. We are trying to kill rabbits with antlers. 110 00:06:45,480 --> 00:06:49,200 Speaker 1: That's it. They may be good at surviving, but in 111 00:06:49,240 --> 00:06:53,400 Speaker 1: the thinking department, even the dullest podcast listener Mark has 112 00:06:53,440 --> 00:06:57,599 Speaker 1: ever reached is orders of magnitude smarter than the smartest buck. 113 00:06:58,720 --> 00:07:00,920 Speaker 1: Take the hardest, hunted, sick and a half year old 114 00:07:01,240 --> 00:07:04,920 Speaker 1: buck on public land in Pennsylvania, and he's basically a 115 00:07:04,960 --> 00:07:08,640 Speaker 1: paint chip eating toddler when compared to even the lowest 116 00:07:08,720 --> 00:07:14,600 Speaker 1: bandwidth human out there. So why is it so hard? Well, 117 00:07:14,640 --> 00:07:16,800 Speaker 1: there are a few reasons, but you know, I don't know. 118 00:07:16,840 --> 00:07:19,880 Speaker 1: You might not want to hear them. For starters, pray, 119 00:07:19,920 --> 00:07:23,080 Speaker 1: animals are just good at not getting eaten. That's basically 120 00:07:23,080 --> 00:07:26,000 Speaker 1: the main component of their job description. It's point number one. 121 00:07:26,600 --> 00:07:29,480 Speaker 1: Just don't get eaten every day, every week, every year. 122 00:07:30,520 --> 00:07:34,560 Speaker 1: Now they die in other ways, I know. But to them, 123 00:07:34,720 --> 00:07:37,920 Speaker 1: when we walk into the woods, we are as scary 124 00:07:37,960 --> 00:07:41,560 Speaker 1: as the scariest bear or coyote or a wolf. We 125 00:07:41,640 --> 00:07:46,320 Speaker 1: are level I'm possibly above those predators on the fear scale. 126 00:07:46,680 --> 00:07:48,800 Speaker 1: And so when they're thinking about not getting eaten, they're 127 00:07:48,800 --> 00:07:52,200 Speaker 1: thinking about us in that way. They don't want us 128 00:07:52,200 --> 00:07:55,240 Speaker 1: to kill him, So they engage in a few tactics 129 00:07:55,280 --> 00:07:58,120 Speaker 1: that work. They hide a lot, they're good at it. 130 00:07:58,640 --> 00:08:01,280 Speaker 1: They don't move a ton during day light. They trust 131 00:08:01,320 --> 00:08:03,480 Speaker 1: their eyes and their ears quite a bit, and they 132 00:08:03,520 --> 00:08:06,960 Speaker 1: fully believe their noses. If after a few years of 133 00:08:06,960 --> 00:08:10,000 Speaker 1: getting lucky, they tend to be pretty intolerant of our bullshit, 134 00:08:10,800 --> 00:08:13,160 Speaker 1: they just learn how to beat us, and they do 135 00:08:13,200 --> 00:08:16,920 Speaker 1: it easily. They do it because most hunters aren't putting 136 00:08:16,920 --> 00:08:19,160 Speaker 1: in a lot of work to kill them. You know, 137 00:08:19,200 --> 00:08:22,360 Speaker 1: we aren't out there seven with empty stomachs and pointed 138 00:08:22,440 --> 00:08:25,040 Speaker 1: canine teeth the way a pack of wolves is. We 139 00:08:25,080 --> 00:08:27,680 Speaker 1: aren't out there all spring long, constantly covering ground in 140 00:08:27,680 --> 00:08:29,960 Speaker 1: search of food, like newborn fawns. The way your average 141 00:08:30,040 --> 00:08:34,040 Speaker 1: yogi is. We mostly swoop in for a few hours 142 00:08:34,040 --> 00:08:36,280 Speaker 1: in the morning and a few hours in the evening, 143 00:08:36,440 --> 00:08:40,440 Speaker 1: and then we leave. We stink, we are allowed. We 144 00:08:40,480 --> 00:08:43,360 Speaker 1: stare at our phones too much. We announce our presence 145 00:08:43,400 --> 00:08:45,320 Speaker 1: through calling when we should just shut the hell up. 146 00:08:46,080 --> 00:08:49,440 Speaker 1: We do a lot of this stuff wrong. That's why 147 00:08:49,480 --> 00:08:52,160 Speaker 1: it's hard for a lot of us. And they know us, 148 00:08:52,679 --> 00:08:55,720 Speaker 1: they know us better than we know them. But they 149 00:08:55,720 --> 00:08:59,480 Speaker 1: are still rabbits with antlers. They have basic needs in 150 00:08:59,520 --> 00:09:02,600 Speaker 1: those need tell us a lot about them. They need 151 00:09:02,640 --> 00:09:04,959 Speaker 1: to eat, they need to drink, They gotta take a 152 00:09:05,000 --> 00:09:07,319 Speaker 1: little snooze here and there, and when the leaves fall 153 00:09:07,360 --> 00:09:09,400 Speaker 1: off the trees and the moon is just right, they 154 00:09:09,400 --> 00:09:11,920 Speaker 1: feel a strong urge to make some new deer. And 155 00:09:12,040 --> 00:09:15,959 Speaker 1: that's about it. Well, it's not because they are highly 156 00:09:15,960 --> 00:09:18,640 Speaker 1: adapted surviving machines, but on some level it is pretty 157 00:09:18,640 --> 00:09:21,600 Speaker 1: easy to distill it down to that level. And so 158 00:09:21,600 --> 00:09:25,439 Speaker 1: why do we struggle? Oftentimes We actually just don't give 159 00:09:25,480 --> 00:09:28,600 Speaker 1: ourselves enough credit. That's a big one, and it's what 160 00:09:28,600 --> 00:09:32,680 Speaker 1: I'm going to talk about next week. And we also 161 00:09:32,720 --> 00:09:35,360 Speaker 1: do something worse, which is we give the deer too 162 00:09:35,440 --> 00:09:39,280 Speaker 1: much credit. They aren't some magical beasts that you'd read 163 00:09:39,280 --> 00:09:42,520 Speaker 1: about in Harry potter book Hiding Away in Haggard's Hut. 164 00:09:43,360 --> 00:09:46,360 Speaker 1: They don't have a sixth sense. They can't read minds, 165 00:09:46,880 --> 00:09:49,839 Speaker 1: They can't really outthink us. They don't have the mental 166 00:09:49,840 --> 00:09:53,040 Speaker 1: horse power. They just do what it takes to survive 167 00:09:53,160 --> 00:09:56,240 Speaker 1: given what they know about us as predators. And that 168 00:09:56,480 --> 00:09:59,040 Speaker 1: right there is the key, because it tells you everything 169 00:09:59,040 --> 00:10:02,439 Speaker 1: you shouldn't do, even if not doing those things is 170 00:10:02,480 --> 00:10:05,960 Speaker 1: hard for us. We have to respect the white tail 171 00:10:06,040 --> 00:10:09,120 Speaker 1: because he deserves it, but we don't have to give 172 00:10:09,160 --> 00:10:12,079 Speaker 1: him extra credit because we aren't good enough to consistently 173 00:10:12,080 --> 00:10:15,040 Speaker 1: shoot him in the lungs. I know, if you're starting out, 174 00:10:15,520 --> 00:10:18,720 Speaker 1: this is probably tough to believe. Hell, it might be 175 00:10:18,800 --> 00:10:20,480 Speaker 1: tough if you've been at it a long time and 176 00:10:20,520 --> 00:10:22,480 Speaker 1: only have shitty spots to hunt, or you don't give 177 00:10:22,559 --> 00:10:24,880 Speaker 1: very much time in the woods. There are a lot 178 00:10:24,920 --> 00:10:27,600 Speaker 1: of things that conspire against your success. But let me 179 00:10:27,600 --> 00:10:31,440 Speaker 1: tell you something. The deer are pretty consistent. Now. I know. 180 00:10:31,559 --> 00:10:33,480 Speaker 1: There is a pretty big gap between deer that are 181 00:10:33,520 --> 00:10:36,000 Speaker 1: babysat their whole lives from deer that grow up in 182 00:10:36,040 --> 00:10:38,640 Speaker 1: the mean streets of public Land, USA, where hunting pressure 183 00:10:38,720 --> 00:10:41,960 Speaker 1: is high. But even those deer, they're just doing what 184 00:10:42,000 --> 00:10:45,360 Speaker 1: they need to in orders five and they grow up fast. 185 00:10:45,360 --> 00:10:49,280 Speaker 1: In those conditions. They have plenty of negative encounters that 186 00:10:49,320 --> 00:10:53,280 Speaker 1: shape their behavior. But again that's something that can be 187 00:10:53,320 --> 00:10:56,360 Speaker 1: used to your advantage if you understand it. Now. This 188 00:10:56,360 --> 00:10:58,480 Speaker 1: this is kind of a raw, raw speech, but also 189 00:10:58,480 --> 00:11:00,880 Speaker 1: I want you to think about it this way. The 190 00:11:00,920 --> 00:11:03,839 Speaker 1: deer they are just out there doing their thing. If 191 00:11:03,920 --> 00:11:05,800 Speaker 1: you do your thing in a way that's different from 192 00:11:05,800 --> 00:11:10,960 Speaker 1: most hunters, or frame it up most predators, eventually you'll 193 00:11:11,000 --> 00:11:14,400 Speaker 1: cross paths with them. Eventually you'll see the unkillable deer 194 00:11:14,480 --> 00:11:16,480 Speaker 1: do something that puts himself into a position for you 195 00:11:16,520 --> 00:11:19,640 Speaker 1: to kill him. And that is a moment worth experiencing. 196 00:11:20,400 --> 00:11:23,480 Speaker 1: I've talked about that moment with me in a really 197 00:11:23,480 --> 00:11:25,880 Speaker 1: cool non typical buck that just screwed up royally and 198 00:11:25,960 --> 00:11:27,760 Speaker 1: let me shoot him at eight yards. I've talked about 199 00:11:27,760 --> 00:11:31,160 Speaker 1: it many times. That mid one fourteen pointer changed my 200 00:11:31,320 --> 00:11:34,880 Speaker 1: whole deer hunting perspective. I went from wanting to kill 201 00:11:34,960 --> 00:11:38,680 Speaker 1: one so bad to suddenly having killed one and he 202 00:11:38,760 --> 00:11:40,960 Speaker 1: just waltzed right into that bean field and then right 203 00:11:41,000 --> 00:11:42,920 Speaker 1: into my best shooting lane. And it wasn't like he 204 00:11:42,960 --> 00:11:46,040 Speaker 1: was a survival machine. Then, it was like he was 205 00:11:46,080 --> 00:11:49,040 Speaker 1: a hungry animal in the early season who happened to 206 00:11:49,040 --> 00:11:51,720 Speaker 1: like to eat soybeans in the rain. Maybe the other 207 00:11:51,800 --> 00:11:53,720 Speaker 1: hunters out there don't hunt the rain as much, and 208 00:11:53,760 --> 00:11:57,120 Speaker 1: he was banking on that. Maybe his grumbling stomach just 209 00:11:57,160 --> 00:12:00,520 Speaker 1: got the best of him. It doesn't matter. He didn't 210 00:12:00,520 --> 00:12:03,120 Speaker 1: pull any big buck high jinks to survive there, and 211 00:12:03,160 --> 00:12:06,440 Speaker 1: he didn't survive. He gave me my opportunity, and other 212 00:12:06,480 --> 00:12:09,800 Speaker 1: bucks followed, and the lesson became much clearer. And it 213 00:12:10,040 --> 00:12:12,600 Speaker 1: really hit home when I started shooting big bucks on 214 00:12:12,640 --> 00:12:17,599 Speaker 1: public land. Those dear should have been invincible. They weren't. 215 00:12:17,640 --> 00:12:19,400 Speaker 1: The first pope and young buck I killed on public 216 00:12:19,440 --> 00:12:21,120 Speaker 1: land walked by me at twenty yards when I was 217 00:12:21,200 --> 00:12:23,920 Speaker 1: hiding behind a big cottonwood tree like a little kid. 218 00:12:24,920 --> 00:12:27,680 Speaker 1: That's not exactly a master class on survival, if you 219 00:12:27,760 --> 00:12:30,959 Speaker 1: ask me. And later that same season, I walked out 220 00:12:31,000 --> 00:12:32,720 Speaker 1: on a public property in the suburbs of the Twin 221 00:12:32,800 --> 00:12:34,959 Speaker 1: Cities to sit in a morning, and I had to 222 00:12:35,040 --> 00:12:37,960 Speaker 1: run to my stand because I was late. I got 223 00:12:38,000 --> 00:12:40,199 Speaker 1: in right after I watched a doe walk through, and 224 00:12:40,200 --> 00:12:41,760 Speaker 1: I didn't even have anything ready to go when I 225 00:12:41,760 --> 00:12:44,080 Speaker 1: saw a buck on her tail. I killed that book 226 00:12:44,120 --> 00:12:46,480 Speaker 1: less than a minute after climbing into my stand, and 227 00:12:46,559 --> 00:12:49,760 Speaker 1: he made Pope and Young minimum as a clean six 228 00:12:49,840 --> 00:12:52,840 Speaker 1: pointer with the body of a horse, even though it 229 00:12:52,920 --> 00:12:55,240 Speaker 1: was the rut. He made a lot of stupid moves 230 00:12:55,240 --> 00:12:58,680 Speaker 1: to get shot by me then, and either of those 231 00:12:58,720 --> 00:13:00,920 Speaker 1: deer and lots more could have been shot by anyone. 232 00:13:01,679 --> 00:13:04,400 Speaker 1: They were being reckless to me because I was there 233 00:13:04,440 --> 00:13:07,120 Speaker 1: to take advantage of it. But that happens all over 234 00:13:07,200 --> 00:13:10,199 Speaker 1: all season long. Well, I take that back. It doesn't 235 00:13:10,240 --> 00:13:13,559 Speaker 1: happen NonStop because that's not how they operate. But there 236 00:13:13,600 --> 00:13:16,560 Speaker 1: are times when the advantages ours and definitely not in theirs. 237 00:13:17,040 --> 00:13:21,280 Speaker 1: Remember that believe that understand that there are a deer 238 00:13:21,320 --> 00:13:24,679 Speaker 1: out there, Dear, you'd be happy to tag that aren't 239 00:13:24,760 --> 00:13:27,720 Speaker 1: so smart and crafty that they won't make mistakes. Hell, 240 00:13:28,120 --> 00:13:31,640 Speaker 1: they probably make several mistakes every single day of their lives, 241 00:13:31,760 --> 00:13:33,960 Speaker 1: but they are forgiven because there's no one there to 242 00:13:34,000 --> 00:13:37,120 Speaker 1: make them pay. Now, I'm going to switch gears for 243 00:13:37,160 --> 00:13:39,800 Speaker 1: a second to give the dear sum credit and frame 244 00:13:39,880 --> 00:13:43,319 Speaker 1: this whole thing up pressure dear, you know, especially pressure 245 00:13:43,320 --> 00:13:45,080 Speaker 1: deer who have been lucky enough to make at least 246 00:13:45,120 --> 00:13:47,920 Speaker 1: three or four laps around the sun. They're not tolerant 247 00:13:47,920 --> 00:13:50,800 Speaker 1: of our mistakes too much. Moving in the stand, they're 248 00:13:50,800 --> 00:13:54,240 Speaker 1: gonna get you. They get down wind. Do you forget it? 249 00:13:54,920 --> 00:13:57,320 Speaker 1: Your stand platform creaks a little when you stand up. 250 00:13:57,600 --> 00:14:00,560 Speaker 1: Now you're in trouble. That desperate grunt you throw his 251 00:14:00,640 --> 00:14:03,560 Speaker 1: way when he's at fifty yards and facing you. Now 252 00:14:03,600 --> 00:14:06,600 Speaker 1: you've given him the advantage. It doesn't take much to 253 00:14:06,600 --> 00:14:09,480 Speaker 1: set off their bullshit meter, and when you do, they 254 00:14:09,520 --> 00:14:13,520 Speaker 1: suddenly get real concerned over their well being. But if 255 00:14:13,520 --> 00:14:16,800 Speaker 1: you don't set it off, they're dumb. Set it off 256 00:14:16,800 --> 00:14:20,120 Speaker 1: and they become something else. They trust their instincts, and 257 00:14:20,160 --> 00:14:22,640 Speaker 1: I think that is something we don't understand very well. 258 00:14:23,120 --> 00:14:26,280 Speaker 1: Most of us live in a nerfed up world where 259 00:14:26,320 --> 00:14:29,280 Speaker 1: real danger is more rare than an original social media post. 260 00:14:29,600 --> 00:14:32,440 Speaker 1: We don't have grizzlies trying to munch on us, most 261 00:14:32,480 --> 00:14:35,360 Speaker 1: of us anyway, or big striped cats that might rush 262 00:14:35,400 --> 00:14:36,920 Speaker 1: out of the tall grass to make a meal out 263 00:14:36,920 --> 00:14:39,960 Speaker 1: of us. We don't have to listen to our instincts 264 00:14:40,040 --> 00:14:43,440 Speaker 1: very often because we don't need them much anymore. Now, 265 00:14:43,480 --> 00:14:45,560 Speaker 1: that's not to say you shouldn't trust your gut around 266 00:14:45,560 --> 00:14:49,040 Speaker 1: people or even situations with animals like certain dogs, because 267 00:14:49,040 --> 00:14:52,720 Speaker 1: if something feels wrong, it most likely is we question 268 00:14:52,800 --> 00:14:54,360 Speaker 1: it because most of the time we don't need our 269 00:14:54,400 --> 00:14:58,080 Speaker 1: instincts much not It's not the case with prey animals. 270 00:14:58,320 --> 00:15:02,080 Speaker 1: They quite literally live off of their instincts. The slightest 271 00:15:02,160 --> 00:15:05,680 Speaker 1: tink of an arrow on an aluminum riser is a 272 00:15:05,760 --> 00:15:09,160 Speaker 1: sound that nature doesn't make. It's unnatural. If a prey 273 00:15:09,200 --> 00:15:13,680 Speaker 1: animal here's that, the threat level is raised instantly. You 274 00:15:13,680 --> 00:15:15,800 Speaker 1: can go from a buck that was totally content to 275 00:15:15,800 --> 00:15:18,320 Speaker 1: walk through the woods mowing down on acorns or rubbing 276 00:15:18,400 --> 00:15:21,760 Speaker 1: random saplings, to a deer with only one thing to 277 00:15:21,800 --> 00:15:26,600 Speaker 1: think about, where did that unnatural, potentially danger signaling sound 278 00:15:26,720 --> 00:15:30,960 Speaker 1: come from. He has nothing but time and his survival 279 00:15:31,000 --> 00:15:34,040 Speaker 1: to think about in that moment. Just by one little mistake, 280 00:15:34,080 --> 00:15:36,560 Speaker 1: we've taken a typical rabbit with antlers and made him 281 00:15:36,600 --> 00:15:40,160 Speaker 1: into a survival machine that is always just to blow 282 00:15:40,200 --> 00:15:43,840 Speaker 1: the surface, waiting to come out. And without that tiny, 283 00:15:44,000 --> 00:15:48,720 Speaker 1: nearly insignificant mistake, he's ours. But is he The whole 284 00:15:48,720 --> 00:15:51,520 Speaker 1: thing about getting a drawn on a deer, or moving 285 00:15:51,520 --> 00:15:55,960 Speaker 1: into position to shoot your rifle in the stand. It's 286 00:15:56,080 --> 00:15:59,320 Speaker 1: it's just wrought with potential mistakes. It's right for us 287 00:15:59,360 --> 00:16:01,120 Speaker 1: to create the anser for the deer to show us 288 00:16:01,120 --> 00:16:04,320 Speaker 1: how much he wants to live. You know. The same 289 00:16:04,360 --> 00:16:06,280 Speaker 1: goes for the branch we touched with our bare hands 290 00:16:06,320 --> 00:16:08,400 Speaker 1: on the way in. If a deer never gets close 291 00:16:08,520 --> 00:16:11,560 Speaker 1: enough to sniff it, who cares. But the deer that 292 00:16:11,760 --> 00:16:14,520 Speaker 1: does understands how long ago we were there due to 293 00:16:14,560 --> 00:16:17,120 Speaker 1: the evaporation of our scent. Just like how a bird 294 00:16:17,160 --> 00:16:19,320 Speaker 1: dog knows instantly which way a rooster is running in 295 00:16:19,360 --> 00:16:22,480 Speaker 1: the grass, even if you ran through thirty seconds or 296 00:16:22,480 --> 00:16:26,920 Speaker 1: two hours ago. That little moment can tip the advantage 297 00:16:26,920 --> 00:16:29,560 Speaker 1: from us to them, and we do it all the time, 298 00:16:30,160 --> 00:16:32,920 Speaker 1: tons of little moments like that. Now I want to 299 00:16:32,960 --> 00:16:35,600 Speaker 1: help because this is easy to explain but hard to 300 00:16:35,640 --> 00:16:38,680 Speaker 1: fully implement in the woods throughout the entire deer season. 301 00:16:39,400 --> 00:16:41,760 Speaker 1: So over the last few months, I've been interviewing wildlife 302 00:16:41,760 --> 00:16:45,360 Speaker 1: biologists who hold all kinds of advanced degrees. These are 303 00:16:45,360 --> 00:16:47,320 Speaker 1: the people who am always a little scared to interview 304 00:16:47,360 --> 00:16:49,480 Speaker 1: because they often make me feel like I'm not quite 305 00:16:49,480 --> 00:16:53,080 Speaker 1: as evolved as them. These interviews, which will air as 306 00:16:53,080 --> 00:16:55,360 Speaker 1: a regular Wire to Hunt podcast throughout the whole month 307 00:16:55,400 --> 00:16:57,960 Speaker 1: of June, which you know we're dubbing the white Tail 308 00:16:58,000 --> 00:17:00,960 Speaker 1: Science Month, should help you under dan white tails better, 309 00:17:01,360 --> 00:17:04,200 Speaker 1: and we cover a wide range of topics like truly 310 00:17:04,280 --> 00:17:07,600 Speaker 1: understanding how dear c to the complexity of dealing with 311 00:17:07,680 --> 00:17:11,080 Speaker 1: chronic wasting disease too, how often fawns get turned in 312 00:17:11,160 --> 00:17:13,160 Speaker 1: a little spot it's next by bears in various parts 313 00:17:13,200 --> 00:17:16,040 Speaker 1: of the country. Each guest is a true student of 314 00:17:16,080 --> 00:17:19,560 Speaker 1: the white tail as well as a dedicated researcher and scientists. 315 00:17:20,119 --> 00:17:23,399 Speaker 1: Each episode is an ode of sorts, too Dear, and 316 00:17:23,440 --> 00:17:26,000 Speaker 1: what we've learned and what we haven't learned, and what 317 00:17:26,080 --> 00:17:29,680 Speaker 1: we might never learn about them. It's just really cool stuff, folks, 318 00:17:29,760 --> 00:17:31,800 Speaker 1: and I hope you listen in. I also hope you 319 00:17:31,840 --> 00:17:33,760 Speaker 1: realize that the white deal deserves a lot of credit 320 00:17:33,840 --> 00:17:36,440 Speaker 1: for being a really badass animal that we are real 321 00:17:36,520 --> 00:17:39,840 Speaker 1: lucky to get to hunt, but also is not so 322 00:17:39,960 --> 00:17:43,160 Speaker 1: cool and adaptable and smart that we can't outmatch him. 323 00:17:43,359 --> 00:17:46,320 Speaker 1: We can, We all can. And next week I'm going 324 00:17:46,359 --> 00:17:48,239 Speaker 1: to tell you how you should think about yourself as 325 00:17:48,240 --> 00:17:51,320 Speaker 1: a hunter so you can make filling tags more of 326 00:17:51,359 --> 00:17:54,040 Speaker 1: a foregone conclusion than a roll of the weighted dice. 327 00:17:56,920 --> 00:17:59,560 Speaker 1: That's it for this week, my friends. I'm Tony Peterson 328 00:17:59,600 --> 00:18:01,920 Speaker 1: and this is been the Wire to Hunt Foundations podcast, 329 00:18:01,960 --> 00:18:04,280 Speaker 1: which is brought to you by First Light. As always, 330 00:18:04,359 --> 00:18:06,880 Speaker 1: thank you so much for listening and for your support. 331 00:18:07,080 --> 00:18:09,040 Speaker 1: If you need more white tailed goodness, head on over 332 00:18:09,080 --> 00:18:12,560 Speaker 1: to dummy theator dot com slash wired to read articles 333 00:18:12,560 --> 00:18:16,080 Speaker 1: by Mark myself, Beau martinac Alex Gilstrom, and a whole 334 00:18:16,080 --> 00:18:18,800 Speaker 1: host of white tail killers, and you can also check 335 00:18:18,800 --> 00:18:21,200 Speaker 1: out our Wire to Hunt YouTube channel, where we dropped 336 00:18:21,240 --> 00:18:22,760 Speaker 1: new videos every single week