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 00:00:20,239 --> 00:00:22,680 Speaker 2: Hi, everyone, welcome to the Wired to Hunt Foundation's podcast, 7 00:00:22,720 --> 00:00:24,360 Speaker 2: which is brought to you by first Light. I'm your host, 8 00:00:24,400 --> 00:00:29,120 Speaker 2: Tony Peterson, and today's episode is all about just you 9 00:00:29,160 --> 00:00:32,320 Speaker 2: know how cool the white tail really is and why 10 00:00:32,360 --> 00:00:39,440 Speaker 2: they are America's favorite game animals. This episode is a 11 00:00:39,440 --> 00:00:41,680 Speaker 2: fun one. It's just mostly an honor of white Tail 12 00:00:41,680 --> 00:00:43,840 Speaker 2: Week here at Meat Eater. Now, while it might seem 13 00:00:43,880 --> 00:00:46,720 Speaker 2: like some of our crew values Western game animals more 14 00:00:47,280 --> 00:00:49,600 Speaker 2: deep down in their hearts, they know who the king 15 00:00:49,680 --> 00:00:52,240 Speaker 2: really is. They also know that the reason they hunt 16 00:00:52,280 --> 00:00:54,760 Speaker 2: those Western critters is because they are generally a heck 17 00:00:54,800 --> 00:00:56,760 Speaker 2: of a lot easier to kill that are pressured white tail, 18 00:00:57,080 --> 00:00:59,320 Speaker 2: although it probably would be a little bit tough to 19 00:00:59,320 --> 00:01:01,720 Speaker 2: get them to admit at that. But before I get 20 00:01:01,720 --> 00:01:03,560 Speaker 2: into this, I got to do one last plug for 21 00:01:03,600 --> 00:01:05,200 Speaker 2: the white Tail Weeks sale. Now I'm gonna be done 22 00:01:05,240 --> 00:01:08,160 Speaker 2: with it, trust me, This thing ends the night of 23 00:01:08,160 --> 00:01:10,360 Speaker 2: October fifth, so you're running out of time to do 24 00:01:10,400 --> 00:01:13,000 Speaker 2: some shopping. This sale is different than anything we've done 25 00:01:13,040 --> 00:01:15,360 Speaker 2: before because if you spend two hundred bucks, you get 26 00:01:15,400 --> 00:01:17,840 Speaker 2: fifty bucks taken right off the top. Spend four hundred, 27 00:01:17,880 --> 00:01:20,520 Speaker 2: you save one hundred bucks. Keep on going to eight 28 00:01:20,600 --> 00:01:23,880 Speaker 2: hundred dollars plus and you can save up to two 29 00:01:23,959 --> 00:01:28,000 Speaker 2: hundred bucks off your order. That's on everything new, everything old, whatever. 30 00:01:28,560 --> 00:01:31,880 Speaker 2: Go to first light dot com and check it out. Now, 31 00:01:32,000 --> 00:01:44,160 Speaker 2: let's get out of this episode. A couple of weeks ago, 32 00:01:44,200 --> 00:01:46,240 Speaker 2: I pulled it to the driveway of a property near 33 00:01:46,280 --> 00:01:49,520 Speaker 2: my house. The owner was outside by his garage getting 34 00:01:49,560 --> 00:01:52,440 Speaker 2: his hunting gear ready, and it was pushing eighty degrees 35 00:01:52,480 --> 00:01:55,440 Speaker 2: out super sunny. We had already hung a couple of 36 00:01:55,480 --> 00:01:58,120 Speaker 2: stands and set a few blinds out his twenty five acres, 37 00:01:58,400 --> 00:02:00,400 Speaker 2: so he was off to sit a stand that his 38 00:02:00,520 --> 00:02:04,200 Speaker 2: positioned just perfectly to shoot any deer that walks into 39 00:02:04,240 --> 00:02:06,480 Speaker 2: an oversized apple tree to see if there's any goodies 40 00:02:06,480 --> 00:02:09,280 Speaker 2: on the ground, a habit that we've seen quite a 41 00:02:09,320 --> 00:02:13,760 Speaker 2: few little Bucks take on almost like with clockwork regularity, 42 00:02:14,360 --> 00:02:16,680 Speaker 2: which is, you know, the kind of deer he was 43 00:02:16,720 --> 00:02:19,640 Speaker 2: looking for because he's never arrowed one before, so those 44 00:02:19,680 --> 00:02:21,640 Speaker 2: predictable a little year and a half holds are definitely 45 00:02:21,639 --> 00:02:25,079 Speaker 2: on his menu. I was headed into a small pond 46 00:02:25,160 --> 00:02:27,720 Speaker 2: with a stand on my back. Now earlier this summer, 47 00:02:27,760 --> 00:02:29,720 Speaker 2: when we were doing some setup work, I had put 48 00:02:30,000 --> 00:02:32,000 Speaker 2: sticks in a life line up, but the stand I 49 00:02:32,040 --> 00:02:34,200 Speaker 2: brought just wouldn't work for the tree, so I had 50 00:02:34,240 --> 00:02:36,840 Speaker 2: to finish that one before I could sit. But I 51 00:02:36,880 --> 00:02:39,959 Speaker 2: was excited because it was hot. The deer had only 52 00:02:39,960 --> 00:02:43,120 Speaker 2: been hunted one time by the landowner, and our standards 53 00:02:43,160 --> 00:02:45,959 Speaker 2: were pretty low. And as we walked in and we're 54 00:02:46,000 --> 00:02:47,960 Speaker 2: just about to split up to go our separate ways, 55 00:02:48,280 --> 00:02:50,800 Speaker 2: we saw a deer go bounding off through the underbrush. 56 00:02:51,360 --> 00:02:54,040 Speaker 2: It was bedded, I don't know, probably not fifteen yards 57 00:02:54,040 --> 00:02:56,959 Speaker 2: from my stand tree. Now. My buddy thought that was 58 00:02:57,000 --> 00:02:59,200 Speaker 2: a bad sign, but I didn't. I figured if I 59 00:02:59,240 --> 00:03:01,959 Speaker 2: could get my stand up quickly and quietly enough, i'd 60 00:03:01,960 --> 00:03:05,080 Speaker 2: see that deer come ghosting back through eventually. That's not 61 00:03:05,120 --> 00:03:07,400 Speaker 2: how I used to feel about bumping deer, and it 62 00:03:07,400 --> 00:03:10,240 Speaker 2: doesn't always work that way, but it happens often enough 63 00:03:10,280 --> 00:03:12,400 Speaker 2: to me now where I don't get super frustrated by 64 00:03:12,440 --> 00:03:14,839 Speaker 2: spooking one. As long as I do it while i'm 65 00:03:14,919 --> 00:03:18,120 Speaker 2: walking in, it's a different story. Getting winded from stand 66 00:03:18,200 --> 00:03:20,079 Speaker 2: or having one spot you while you're trying to draw 67 00:03:20,080 --> 00:03:23,000 Speaker 2: on your stand A totally different deal there. So I 68 00:03:23,040 --> 00:03:25,480 Speaker 2: got that stand, hung as quietly as I could, and 69 00:03:25,520 --> 00:03:28,760 Speaker 2: I settled in. An hour later, I caught movement through 70 00:03:28,800 --> 00:03:31,200 Speaker 2: the brush and realized there was a deer awful close 71 00:03:31,240 --> 00:03:34,120 Speaker 2: to me. It was a lone dove on and after 72 00:03:34,160 --> 00:03:36,640 Speaker 2: a few minutes of looking for acorns, she walked a 73 00:03:36,680 --> 00:03:39,920 Speaker 2: little bit closer to my stand and bedded down. She 74 00:03:40,000 --> 00:03:42,240 Speaker 2: couldn't have been much more than about ten yards away, 75 00:03:42,320 --> 00:03:44,320 Speaker 2: but there were some grape vines in one pine tree 76 00:03:44,360 --> 00:03:47,400 Speaker 2: between us. For a while, the sun was hitting the 77 00:03:47,440 --> 00:03:50,680 Speaker 2: forest floor where she was just right, so I could 78 00:03:50,720 --> 00:03:54,160 Speaker 2: see her ears flicking occasionally. But the second that the 79 00:03:54,200 --> 00:03:56,960 Speaker 2: sun dipped low enough to no longer shine on her spot, 80 00:03:57,040 --> 00:04:01,040 Speaker 2: it was like she disappeared completely. It's always amazing not 81 00:04:01,080 --> 00:04:03,600 Speaker 2: only how good their camouflage is for a variety of 82 00:04:03,600 --> 00:04:08,080 Speaker 2: different environments, but how easily they can just disappear simply 83 00:04:08,120 --> 00:04:12,000 Speaker 2: by not moving. Now, when she got up, she wandered 84 00:04:12,040 --> 00:04:15,000 Speaker 2: off straight away from me, and I realized that even 85 00:04:15,040 --> 00:04:17,560 Speaker 2: if I had wanted to shoot her, I never had 86 00:04:17,600 --> 00:04:21,000 Speaker 2: a single opportunity, even though she was top pin close 87 00:04:21,279 --> 00:04:24,240 Speaker 2: for over two hours. It was a good reminder of 88 00:04:24,279 --> 00:04:27,080 Speaker 2: how often we say, well, I could have killed that deer, 89 00:04:27,560 --> 00:04:29,960 Speaker 2: but you never really know, and they actually have to draw, 90 00:04:30,240 --> 00:04:33,359 Speaker 2: aim and execute a shot on it. It was also a 91 00:04:33,400 --> 00:04:36,960 Speaker 2: good reminder of how their primary means of staying not 92 00:04:37,160 --> 00:04:40,520 Speaker 2: eaten by stuff is to sit real still and let 93 00:04:40,560 --> 00:04:44,200 Speaker 2: the danger pass. We think of them mostly as runners 94 00:04:44,200 --> 00:04:46,240 Speaker 2: when they get close to a threat, or when a 95 00:04:46,240 --> 00:04:48,960 Speaker 2: threat gets close to them, I guess, but the default 96 00:04:49,040 --> 00:04:54,000 Speaker 2: setting to survive is to sit tight and observe. This 97 00:04:54,080 --> 00:04:56,800 Speaker 2: is prey behavior one oh one type of stuff, and 98 00:04:56,880 --> 00:05:00,440 Speaker 2: for the white tail almost undoubtedly stems from their long 99 00:05:00,640 --> 00:05:03,360 Speaker 2: history as one of the primary food sources for a 100 00:05:03,400 --> 00:05:06,800 Speaker 2: litany of predators. And while we think about how you 101 00:05:06,839 --> 00:05:10,200 Speaker 2: know a big threat wolves are these days, or maybe 102 00:05:10,240 --> 00:05:13,320 Speaker 2: coyotes and certainly bears when it comes to fawns, we 103 00:05:13,360 --> 00:05:16,320 Speaker 2: don't really understand how good they are at not getting eaten. 104 00:05:17,200 --> 00:05:19,960 Speaker 2: It's common to hear hunters say, you know, the wolves 105 00:05:20,040 --> 00:05:22,479 Speaker 2: killed all the deer where I hunt, but just because 106 00:05:22,480 --> 00:05:25,200 Speaker 2: you don't see them doesn't mean they aren't there. Now. 107 00:05:25,400 --> 00:05:28,279 Speaker 2: Do wolves kill deer, You bet, you're happy ass they do. 108 00:05:28,400 --> 00:05:31,520 Speaker 2: They're good at it. But it's also pretty easy to 109 00:05:31,600 --> 00:05:36,240 Speaker 2: understand that the prevalence of wolves will drastically change deer behavior, 110 00:05:36,560 --> 00:05:39,320 Speaker 2: and it's not likely to make them walk around a 111 00:05:39,320 --> 00:05:42,839 Speaker 2: lot more. It's also important to acknowledge that white tails 112 00:05:42,839 --> 00:05:45,600 Speaker 2: have been avoiding predators for at least a couple of 113 00:05:45,640 --> 00:05:49,760 Speaker 2: million years, or at least the white tail ancestors were, 114 00:05:49,920 --> 00:05:52,200 Speaker 2: which is kind of saying the same thing. I mean, 115 00:05:52,200 --> 00:05:54,760 Speaker 2: without them, there is no modern deer, and they've been 116 00:05:54,760 --> 00:05:58,000 Speaker 2: on the landscape a long time. Some of the fossils 117 00:05:58,040 --> 00:06:00,480 Speaker 2: that we found tell us this. They have been found 118 00:06:00,520 --> 00:06:02,840 Speaker 2: in places like Florida, and they date back to at 119 00:06:02,960 --> 00:06:06,680 Speaker 2: least two million years. Now, imagine what Florida look like 120 00:06:06,920 --> 00:06:10,400 Speaker 2: two million years ago. You probably can't. In fact, that's 121 00:06:10,440 --> 00:06:12,440 Speaker 2: one of the problems we have with ourselves is that 122 00:06:12,480 --> 00:06:14,880 Speaker 2: we live in a world of recency bias. Because how 123 00:06:14,920 --> 00:06:18,400 Speaker 2: our brains are wired. We can't fathom the white tail 124 00:06:18,480 --> 00:06:21,479 Speaker 2: five hundred years ago, much less back when they literally 125 00:06:21,560 --> 00:06:24,560 Speaker 2: had to dodge saber toothed cats or a version of 126 00:06:24,640 --> 00:06:27,520 Speaker 2: jaguars that are long gone, or the American cheetah that 127 00:06:27,640 --> 00:06:30,919 Speaker 2: is also long gone, or a couple of lion and 128 00:06:30,960 --> 00:06:34,240 Speaker 2: bear species that would have dwarfed the biggest specimens we 129 00:06:34,320 --> 00:06:37,440 Speaker 2: have today. Imagine that for a second, a bear so 130 00:06:37,600 --> 00:06:39,400 Speaker 2: big that it would be able to kind of just 131 00:06:39,520 --> 00:06:41,360 Speaker 2: swat a grizzly out of the way like you would 132 00:06:41,360 --> 00:06:45,840 Speaker 2: show away a mosquito if you're paying attention. That means 133 00:06:45,839 --> 00:06:49,159 Speaker 2: that all of those apex predators, they had their moment 134 00:06:49,200 --> 00:06:52,320 Speaker 2: in the spotlight, and then like ninety nine percent of 135 00:06:52,320 --> 00:06:55,599 Speaker 2: the species of life to ever exist on Earth, eventually 136 00:06:55,720 --> 00:06:59,599 Speaker 2: dwindled down to an unsustainable number, and with that decline 137 00:07:00,080 --> 00:07:03,880 Speaker 2: collapsed into extinction. The only record of them preserved in 138 00:07:03,920 --> 00:07:07,000 Speaker 2: the Earth and in the epigenetic behavior traits of game 139 00:07:07,040 --> 00:07:10,520 Speaker 2: animals that made it through the extinction gauntlet to this point. 140 00:07:11,720 --> 00:07:14,080 Speaker 2: The white tail lives in much of the US and 141 00:07:14,200 --> 00:07:17,280 Speaker 2: much of Canada, and the little desert dwellers that don't 142 00:07:17,280 --> 00:07:20,160 Speaker 2: weigh much more than a Michigan fawn in October. They 143 00:07:20,240 --> 00:07:23,640 Speaker 2: inhabit the southwest deserts all the way down into Old Mexico. 144 00:07:24,560 --> 00:07:26,640 Speaker 2: The white tails kind of like the coyote in that 145 00:07:26,680 --> 00:07:30,160 Speaker 2: where it started as interesting but not nearly as interesting 146 00:07:30,200 --> 00:07:32,560 Speaker 2: as where it has gone as a species and where 147 00:07:32,560 --> 00:07:38,160 Speaker 2: it might be going. You can find white tails in Cuba, Finland, Peru, 148 00:07:38,600 --> 00:07:41,600 Speaker 2: and even in New Zealand, where there is a decent 149 00:07:41,680 --> 00:07:44,960 Speaker 2: population in a couple of places. Thanks to Teddy Roosevelt, 150 00:07:45,240 --> 00:07:47,480 Speaker 2: who at one point loaded up a boat with almost 151 00:07:47,560 --> 00:07:51,960 Speaker 2: two dozen and shipped them some twelve thousand miles, most 152 00:07:51,960 --> 00:07:54,760 Speaker 2: of those deers survived, and today they can be found 153 00:07:54,760 --> 00:07:57,200 Speaker 2: in pretty good numbers there, not to mention that they 154 00:07:57,280 --> 00:07:59,200 Speaker 2: run in the spring and give birth in the fall. 155 00:08:00,320 --> 00:08:03,560 Speaker 2: A lot of species of plants, insects, and animals have 156 00:08:03,680 --> 00:08:06,880 Speaker 2: names that are derivative of some feature they have. Take 157 00:08:06,920 --> 00:08:09,800 Speaker 2: the housefly, for example, it's an insect that likes to 158 00:08:09,840 --> 00:08:13,160 Speaker 2: come into your house and fly around. Didn't take much 159 00:08:13,200 --> 00:08:15,920 Speaker 2: to name that one, I guess. Or take the butterfly, 160 00:08:16,480 --> 00:08:18,880 Speaker 2: which is an insect that Mark Kenyon thinks about us 161 00:08:18,880 --> 00:08:21,640 Speaker 2: he's going to sleep. You know, it's also one that 162 00:08:21,840 --> 00:08:25,280 Speaker 2: flies around. But where did the butter part come from? Well, 163 00:08:25,880 --> 00:08:28,760 Speaker 2: maybe from a Dutch word I can't pronounce that means 164 00:08:28,880 --> 00:08:33,920 Speaker 2: butter shit because butterflies have colorful extrement. Or it could 165 00:08:33,960 --> 00:08:35,959 Speaker 2: be because some of those crazy Germans back in the 166 00:08:36,040 --> 00:08:40,600 Speaker 2: day thought butterflies stole milk and butter so who really knows. 167 00:08:41,360 --> 00:08:43,800 Speaker 2: The white tail gets its name in a similar fashion, 168 00:08:44,200 --> 00:08:47,240 Speaker 2: where the interdigital glands on their back hoofs have a 169 00:08:47,280 --> 00:08:50,720 Speaker 2: small white groove on them that is visible only in 170 00:08:50,760 --> 00:08:55,480 Speaker 2: the infrared. Just kidding, it's because their tails are white, duh. 171 00:08:55,760 --> 00:08:57,760 Speaker 2: Their tails are bigger than the tails on a lot 172 00:08:57,800 --> 00:08:59,880 Speaker 2: of the deer species, and this is because they are 173 00:09:00,120 --> 00:09:04,319 Speaker 2: signaling device. The white tail likes to live in thick habitat, 174 00:09:04,559 --> 00:09:07,360 Speaker 2: and it's a somewhat social critter. A deer fleeing in 175 00:09:07,440 --> 00:09:09,960 Speaker 2: one direction can signal to other deer that you better 176 00:09:09,960 --> 00:09:12,520 Speaker 2: get your asses in gear and head this way. But 177 00:09:12,600 --> 00:09:15,240 Speaker 2: they also use their tails to caution others if they 178 00:09:15,280 --> 00:09:25,280 Speaker 2: suspect some ch connery as a foot. This is kind 179 00:09:25,280 --> 00:09:27,840 Speaker 2: of like if you were sneaking through an abandoned insane 180 00:09:27,880 --> 00:09:30,800 Speaker 2: asylum with your friends, and you round it a corner 181 00:09:30,800 --> 00:09:33,720 Speaker 2: in a dark and dusty hallway, and at the far 182 00:09:33,880 --> 00:09:37,319 Speaker 2: end you saw someone cloaked in black just standing there. 183 00:09:37,920 --> 00:09:39,760 Speaker 2: You might put your hand up in such a way 184 00:09:39,800 --> 00:09:42,319 Speaker 2: that says, we better stop for a second and evaluate 185 00:09:42,400 --> 00:09:46,320 Speaker 2: this development. This would most likely be followed by a 186 00:09:46,320 --> 00:09:48,560 Speaker 2: Scooby Doo and Shaggy moment where you get the hell 187 00:09:48,600 --> 00:09:51,160 Speaker 2: out of there, and get the hell out of there 188 00:09:51,640 --> 00:09:54,880 Speaker 2: deer can. They can clock in at thirty miles per 189 00:09:54,920 --> 00:09:57,439 Speaker 2: hour for short periods of time, which is all the 190 00:09:57,480 --> 00:09:59,320 Speaker 2: time you really need if you can run that fast. 191 00:09:59,679 --> 00:10:03,080 Speaker 2: And they can and jump too. The dough one of 192 00:10:03,080 --> 00:10:06,200 Speaker 2: my daughters shot in September cleared a hedgerow with ease 193 00:10:06,320 --> 00:10:10,000 Speaker 2: right after the shot. And that's a hedgerow that I 194 00:10:10,080 --> 00:10:13,439 Speaker 2: can't see over, and I stand six feet two inches tall. 195 00:10:14,080 --> 00:10:16,560 Speaker 2: They've been known to clear fences much taller than that, 196 00:10:16,880 --> 00:10:20,200 Speaker 2: which is pretty incredible. The white tail as a communication 197 00:10:20,320 --> 00:10:24,200 Speaker 2: machine too, and this goes way beyond their oversized bright 198 00:10:24,280 --> 00:10:27,880 Speaker 2: white tail lights. They can secrete sense from a pile 199 00:10:27,920 --> 00:10:30,280 Speaker 2: of different glands in their bodies, and the amount of 200 00:10:30,360 --> 00:10:33,960 Speaker 2: information that they can disseminate and absorb from those scents 201 00:10:34,280 --> 00:10:38,920 Speaker 2: would probably blow our minds. It's probably not unlike a 202 00:10:39,200 --> 00:10:42,560 Speaker 2: fairly extensive vocabulary that a lot of humans have, where 203 00:10:42,559 --> 00:10:45,040 Speaker 2: we can stream together words in a litany of ways 204 00:10:45,040 --> 00:10:48,760 Speaker 2: to convey pretty much anything we want to convey. They 205 00:10:48,840 --> 00:10:51,480 Speaker 2: do that, and just like us, they mix in some 206 00:10:51,559 --> 00:10:55,880 Speaker 2: vocal communication while we generally think of deer as mostly quiet, 207 00:10:56,600 --> 00:10:58,840 Speaker 2: because if you can communicate with body language and scent, 208 00:10:58,920 --> 00:11:01,000 Speaker 2: you don't really need to make much noise and draw 209 00:11:01,040 --> 00:11:04,520 Speaker 2: some predators attention. But they do make some noise, and 210 00:11:04,559 --> 00:11:06,600 Speaker 2: it's cool as hell to hear a dough bleat to 211 00:11:06,640 --> 00:11:09,800 Speaker 2: her fawn, or a buck grunt with every step in November, 212 00:11:10,200 --> 00:11:13,040 Speaker 2: or if you're really lucky, hear a hyped up bucks 213 00:11:13,120 --> 00:11:17,160 Speaker 2: Norway's at a rival. White tails live in so many 214 00:11:17,160 --> 00:11:20,120 Speaker 2: different environments that is pretty amazing when you think about it. 215 00:11:20,840 --> 00:11:23,520 Speaker 2: They are big woods dwellers who don't need an ounce 216 00:11:23,559 --> 00:11:27,880 Speaker 2: of agriculture babysitting to survive just fine, although they do 217 00:11:28,040 --> 00:11:31,679 Speaker 2: thrive where egg is heavy, as we all know. They 218 00:11:31,720 --> 00:11:34,400 Speaker 2: can live in the suburbs while dodging cars and coyotes, 219 00:11:34,800 --> 00:11:37,520 Speaker 2: or they can live whereas about as remote as it gets. 220 00:11:38,040 --> 00:11:40,400 Speaker 2: They love river bottoms, but will spend time in the 221 00:11:40,400 --> 00:11:43,600 Speaker 2: foothills of the mountains in certain spots. There is no 222 00:11:43,760 --> 00:11:46,959 Speaker 2: shortage of them in the swamps some of the deserts, 223 00:11:47,080 --> 00:11:49,680 Speaker 2: and there also seems to be no holding them back. 224 00:11:50,240 --> 00:11:52,680 Speaker 2: But we did hold them back to the point where 225 00:11:52,720 --> 00:11:56,000 Speaker 2: about the time we were trying a failed experiment called prohibition, 226 00:11:56,559 --> 00:11:59,920 Speaker 2: the deer population had sunk to around thirty thousand animals. 227 00:12:00,840 --> 00:12:03,640 Speaker 2: Through a lot of effort and game management, we have 228 00:12:03,679 --> 00:12:06,280 Speaker 2: a lot more deer than that today. In fact, I 229 00:12:06,360 --> 00:12:08,760 Speaker 2: was thinking about this while hunting with my daughters recently. 230 00:12:09,200 --> 00:12:11,319 Speaker 2: You know, we were in north central Wisconsin. In the 231 00:12:11,360 --> 00:12:14,199 Speaker 2: course of three days, we saw three deer, two of 232 00:12:14,240 --> 00:12:16,120 Speaker 2: which are now in our freezer thanks to a pair 233 00:12:16,160 --> 00:12:18,320 Speaker 2: of good shots from a couple of twelve year old girls. 234 00:12:19,360 --> 00:12:22,480 Speaker 2: I told my daughters that when I started hunting, it 235 00:12:22,640 --> 00:12:25,600 Speaker 2: was a big goal of mine and my dad's to 236 00:12:25,800 --> 00:12:29,480 Speaker 2: just get one deer a season, just one in the 237 00:12:29,559 --> 00:12:32,040 Speaker 2: whole season. And there were a hell of a lot 238 00:12:32,080 --> 00:12:35,040 Speaker 2: of seasons where we didn't do that. I didn't start 239 00:12:35,120 --> 00:12:37,800 Speaker 2: hunting when, you know, seeing a deer was a newsworthy 240 00:12:37,800 --> 00:12:40,160 Speaker 2: event like it was back in the sixties. But I 241 00:12:40,240 --> 00:12:42,840 Speaker 2: did start when there weren't nearly as many deer to 242 00:12:42,880 --> 00:12:46,400 Speaker 2: see as there are now. It's amazing how available white 243 00:12:46,440 --> 00:12:50,000 Speaker 2: tails are to this day. They can live a long 244 00:12:50,160 --> 00:12:53,079 Speaker 2: time too. While we tend to cap our thoughts on 245 00:12:53,160 --> 00:12:55,400 Speaker 2: white tail age right around that maybe I don't know, 246 00:12:55,520 --> 00:12:56,920 Speaker 2: six and a half to eight and a half year 247 00:12:56,960 --> 00:12:59,520 Speaker 2: old timeframe. They can live a hell of a lot 248 00:12:59,559 --> 00:13:02,520 Speaker 2: longer than that. In fact, I think a lot of 249 00:13:02,559 --> 00:13:06,600 Speaker 2: them do. We just don't know it. The oldest deer 250 00:13:07,000 --> 00:13:09,440 Speaker 2: a doe who made it to an age where she 251 00:13:09,480 --> 00:13:13,920 Speaker 2: could illegally drink in the US, although just barely reach 252 00:13:14,040 --> 00:13:18,360 Speaker 2: twenty two years, imagine the survival instincts it takes to 253 00:13:18,400 --> 00:13:21,560 Speaker 2: be a wild deer with over two decades under your belt. 254 00:13:22,480 --> 00:13:24,880 Speaker 2: Part of the reason they can get this old is 255 00:13:24,920 --> 00:13:27,600 Speaker 2: that they are, unlike one of my daughters who drives 256 00:13:27,640 --> 00:13:33,160 Speaker 2: me absolutely crazy, not picky eaters. There is no version 257 00:13:33,320 --> 00:13:36,160 Speaker 2: of deer that only eats plain spaghetti and chicken tenders 258 00:13:36,160 --> 00:13:39,480 Speaker 2: for ninety percent of its meals. It is often reported 259 00:13:39,480 --> 00:13:43,680 Speaker 2: that whitetails willingly numb on at least six hundred different plants, 260 00:13:43,960 --> 00:13:47,160 Speaker 2: and they also eat fruit, mushrooms, and if you could 261 00:13:47,160 --> 00:13:50,520 Speaker 2: actually figure out the truth, probably a hell of a 262 00:13:50,559 --> 00:13:53,079 Speaker 2: lot more stuff than we give them credit for. They 263 00:13:53,120 --> 00:13:56,319 Speaker 2: have a four chambered stomach, which allows them to have 264 00:13:56,400 --> 00:13:59,440 Speaker 2: such a diverse diet. It also allows them to eat 265 00:13:59,440 --> 00:14:02,960 Speaker 2: a lot pretty quickly and then lay down in safety 266 00:14:03,000 --> 00:14:06,520 Speaker 2: to hork up their meal and chew on it again. Sometimes, 267 00:14:06,640 --> 00:14:08,400 Speaker 2: like in the case of that fond that betted by 268 00:14:08,400 --> 00:14:11,800 Speaker 2: me in September, you can hear them coughing, and while 269 00:14:11,840 --> 00:14:13,520 Speaker 2: that might just be from getting a little bit of 270 00:14:13,600 --> 00:14:17,120 Speaker 2: dandelion fuzz caught in their throats, sometimes it's them working 271 00:14:17,160 --> 00:14:20,840 Speaker 2: on their next stage of digestion. While we think of 272 00:14:20,920 --> 00:14:23,600 Speaker 2: them as cute herbivores that live solely off of plants, 273 00:14:23,760 --> 00:14:27,000 Speaker 2: that's just not entirely the case. There are videos out 274 00:14:27,000 --> 00:14:30,040 Speaker 2: there of deer walking down baby birds and gnomming on them, 275 00:14:30,280 --> 00:14:32,240 Speaker 2: and videos of them eating eggs right out of a 276 00:14:32,240 --> 00:14:35,880 Speaker 2: bird's nest. In twenty seventeen, a white tail was observed 277 00:14:35,920 --> 00:14:39,040 Speaker 2: eating a human corpse on a Texas body farm, which 278 00:14:39,080 --> 00:14:40,840 Speaker 2: is a sentence you don't think you'll get to write 279 00:14:40,960 --> 00:14:44,680 Speaker 2: or say, ever, but here we are. Their coats change 280 00:14:44,680 --> 00:14:47,600 Speaker 2: with the seasons. This is one of the reasons deer 281 00:14:47,600 --> 00:14:50,240 Speaker 2: looks so mangy and disheveled when you see them in 282 00:14:50,240 --> 00:14:53,640 Speaker 2: the spring. They are going from heavy winter coats to 283 00:14:53,720 --> 00:14:57,040 Speaker 2: light summer coats. In late August and early September throughout 284 00:14:57,080 --> 00:14:59,760 Speaker 2: much of their range, they put away the light windbreaker 285 00:14:59,800 --> 00:15:02,440 Speaker 2: and they don their heavy park is again. Now, while 286 00:15:02,480 --> 00:15:05,320 Speaker 2: it seems simple enough, the reason their winter coats are 287 00:15:05,320 --> 00:15:08,560 Speaker 2: heavier is not solely because longer hair is warmer. It 288 00:15:08,600 --> 00:15:11,440 Speaker 2: also allows more air to be trapped next to the skin, 289 00:15:11,480 --> 00:15:14,200 Speaker 2: which creates an insulating layer, kind of like how when 290 00:15:14,200 --> 00:15:16,400 Speaker 2: you're duck hunting and you get water in your waiters. 291 00:15:16,720 --> 00:15:19,160 Speaker 2: It's super duper cold at first, but after a while 292 00:15:19,160 --> 00:15:22,280 Speaker 2: it's kind of nice and warm. If you ever see 293 00:15:22,280 --> 00:15:25,360 Speaker 2: a deer in truly cold temperatures and by that I 294 00:15:25,400 --> 00:15:29,240 Speaker 2: mean like twenty below for extended periods of time, you'll 295 00:15:29,280 --> 00:15:33,040 Speaker 2: see something else. They look kind of like puffballs. The 296 00:15:33,080 --> 00:15:35,200 Speaker 2: first time I saw this, I was sitting behind a 297 00:15:35,240 --> 00:15:38,800 Speaker 2: tree in late December in Minnesota, overlooking a drainage that 298 00:15:38,880 --> 00:15:41,960 Speaker 2: was not only covered with scouring rush horsetail, you know, 299 00:15:42,120 --> 00:15:44,760 Speaker 2: a reedy plant that stays green all winter long, but 300 00:15:44,840 --> 00:15:47,360 Speaker 2: also a pile of deer trails. It was a little 301 00:15:47,400 --> 00:15:50,000 Speaker 2: honey hole I found in the late season on some 302 00:15:50,080 --> 00:15:53,360 Speaker 2: public land down by Lanesboro, Minnesota, and I thought I 303 00:15:53,400 --> 00:15:55,920 Speaker 2: was going to get my chance, and then I did. 304 00:15:56,400 --> 00:15:58,880 Speaker 2: The only deer that walked in then was a fawn, 305 00:15:59,360 --> 00:16:02,840 Speaker 2: and she looked like a threatned porcupine. Her coat was 306 00:16:03,040 --> 00:16:06,600 Speaker 2: all puffed out against the cold, and it was cold, 307 00:16:06,760 --> 00:16:10,400 Speaker 2: and it's also with great shame, uh, a little bit 308 00:16:10,480 --> 00:16:13,960 Speaker 2: shame anyway, that I'll admit that teenage Tony whiffed on 309 00:16:14,000 --> 00:16:18,040 Speaker 2: that buzzer beater deer at a distance of really really close. 310 00:16:19,160 --> 00:16:22,400 Speaker 2: That strategy for surviving the cold is rad because we 311 00:16:22,480 --> 00:16:24,640 Speaker 2: have the same thing going on with our goosebumps that 312 00:16:24,640 --> 00:16:27,000 Speaker 2: show up and we get chilly. Although most of us 313 00:16:27,040 --> 00:16:29,240 Speaker 2: aren't covered with a ton of hair these days, except 314 00:16:29,240 --> 00:16:31,880 Speaker 2: for my old college roommate Nolan, who definitely looks like 315 00:16:31,920 --> 00:16:35,720 Speaker 2: he got some strong Neanderthal jens. It's an evolutionary holdover 316 00:16:35,800 --> 00:16:37,800 Speaker 2: from a time when we lived a life closer to 317 00:16:37,840 --> 00:16:41,760 Speaker 2: wild whitetails than modern humans, and you know, back when 318 00:16:41,800 --> 00:16:43,720 Speaker 2: we couldn't just throw on a coat or turn up 319 00:16:43,720 --> 00:16:47,840 Speaker 2: a thermostat. There's a lot to love about the white tail, 320 00:16:48,000 --> 00:16:51,080 Speaker 2: and there's a lot to understand about why when they 321 00:16:51,160 --> 00:16:54,080 Speaker 2: get a little hunting pressure from us, they get real 322 00:16:54,160 --> 00:16:57,360 Speaker 2: hard to kill in a hurry. Perhaps that's the coolest 323 00:16:57,400 --> 00:17:02,760 Speaker 2: thing about them. We have Selkam ground blinds, tower blinds, 324 00:17:02,880 --> 00:17:08,040 Speaker 2: ozonics units on X real time weather information clothing to 325 00:17:08,119 --> 00:17:11,920 Speaker 2: keep us warm and dry in every condition. We can 326 00:17:12,000 --> 00:17:14,640 Speaker 2: leave food out for them in some places and create 327 00:17:14,760 --> 00:17:18,119 Speaker 2: food sources for them and others. We can manipulate the 328 00:17:18,200 --> 00:17:21,919 Speaker 2: land to influence their travel, We can create a water source, 329 00:17:22,240 --> 00:17:25,199 Speaker 2: we can give them a utopia, and we have so 330 00:17:25,359 --> 00:17:29,399 Speaker 2: many advantages it's almost unreal. And yet most of us 331 00:17:29,400 --> 00:17:32,920 Speaker 2: can't kill them. With a high level of consistency. They 332 00:17:32,960 --> 00:17:36,040 Speaker 2: are still beating the best predators in the game, at 333 00:17:36,119 --> 00:17:38,320 Speaker 2: least to the point where their numbers are still pretty 334 00:17:38,400 --> 00:17:42,639 Speaker 2: much going north. That's absolutely unbelievable, especially when you consider 335 00:17:42,680 --> 00:17:44,520 Speaker 2: that they can thrive in the face of not only 336 00:17:44,640 --> 00:17:47,160 Speaker 2: our attempts to put them in the freezer, but EHD 337 00:17:47,280 --> 00:17:50,240 Speaker 2: and CWD and horrible winners and wolf packs and millions 338 00:17:50,280 --> 00:17:53,160 Speaker 2: of cars traveling down roads that bisect their home ranges 339 00:17:53,400 --> 00:17:56,280 Speaker 2: and hit them with enough frequency where it kind of sucks. 340 00:17:57,359 --> 00:18:00,480 Speaker 2: They're just cool as hell, and we are so dang 341 00:18:00,560 --> 00:18:03,119 Speaker 2: lucky to have them to hunt. We truly are, And 342 00:18:03,160 --> 00:18:06,080 Speaker 2: I want every listener to think about that. The whitetail 343 00:18:06,160 --> 00:18:09,359 Speaker 2: is the most available and awesome game animal out there, 344 00:18:09,720 --> 00:18:12,520 Speaker 2: and if we behave ourselves, we can keep it that 345 00:18:12,600 --> 00:18:14,800 Speaker 2: way and make sure our kids and grandkids have a 346 00:18:14,880 --> 00:18:18,199 Speaker 2: chance to hunt them too. So let's do that, and 347 00:18:18,280 --> 00:18:19,960 Speaker 2: let's all come back next week. Because I'm going to 348 00:18:20,000 --> 00:18:23,399 Speaker 2: talk about thermal hubs, weird wins, and how you need 349 00:18:23,440 --> 00:18:26,720 Speaker 2: to learn individual stand sites through experience so you know 350 00:18:27,000 --> 00:18:30,960 Speaker 2: when to hunt them. That's it. I'm Tony Peterson. This 351 00:18:30,960 --> 00:18:33,040 Speaker 2: has been the Wired to Hunt Foundation's podcast, which is 352 00:18:33,040 --> 00:18:35,040 Speaker 2: brought to you by first Light. As I mentioned in 353 00:18:35,080 --> 00:18:37,959 Speaker 2: the intro here, the white Tail Week sale is about 354 00:18:37,960 --> 00:18:40,720 Speaker 2: to end in a couple of days here on October fifth, 355 00:18:40,800 --> 00:18:43,480 Speaker 2: the night of October fifth, so go over to first 356 00:18:43,560 --> 00:18:44,959 Speaker 2: Light dot com if you want to get some new 357 00:18:45,000 --> 00:18:47,840 Speaker 2: gear and save a bunch of money. And as always, 358 00:18:47,880 --> 00:18:50,520 Speaker 2: thank you so much for listening. We truly appreciate it 359 00:18:50,560 --> 00:18:52,600 Speaker 2: here at meet eat, or whether you're checking out an 360 00:18:52,680 --> 00:18:54,800 Speaker 2: article at the Mediator dot com, or you're listening to 361 00:18:54,920 --> 00:18:58,520 Speaker 2: Clay's Bear Grease podcast or watching a video, whatever, we 362 00:18:58,600 --> 00:19:00,359 Speaker 2: truly appreciate it. So thank you for that