1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,519 --> 00:00:11,479 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,880 --> 00:00:17,160 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:17,160 --> 00:00:20,560 Speaker 1: your host, Mark Kenyon. In this episode number sixty seven, 5 00:00:20,920 --> 00:00:24,200 Speaker 1: tay the show, we're talking all things trail cameras and 6 00:00:24,239 --> 00:00:49,560 Speaker 1: we're joined by terriffic guest Don Higgins. All Right, welcome 7 00:00:49,680 --> 00:00:53,040 Speaker 1: to the Wire to Hunt podcast. We've got a good 8 00:00:53,040 --> 00:00:55,760 Speaker 1: one for you today is we're talking trail cameras and 9 00:00:55,840 --> 00:00:59,480 Speaker 1: joining us as a repeat guest, Mr Don Higgins. Now, 10 00:00:59,480 --> 00:01:02,280 Speaker 1: if you missed first episode with Don back in December 11 00:01:02,320 --> 00:01:05,680 Speaker 1: of last year, two fourteen, I highly recommend listening to 12 00:01:05,760 --> 00:01:07,560 Speaker 1: that one. But if you did miss that, to catch 13 00:01:07,560 --> 00:01:10,280 Speaker 1: you up just a little bit, Don is a really 14 00:01:10,319 --> 00:01:13,880 Speaker 1: serious Illinois whitetail hunter, an outdoor writer for magazines like 15 00:01:13,920 --> 00:01:17,120 Speaker 1: North American White Tail and others, and an author of 16 00:01:17,160 --> 00:01:20,280 Speaker 1: a couple of great deer hunting books. He's a guy 17 00:01:20,319 --> 00:01:23,280 Speaker 1: that have learned a tremendous amount of um from when 18 00:01:23,280 --> 00:01:27,200 Speaker 1: it comes to hunting big mature bucks in especially high 19 00:01:27,200 --> 00:01:30,880 Speaker 1: pressure areas. So I'm excited that Don's with us today. 20 00:01:31,000 --> 00:01:33,560 Speaker 1: He's going to share with us some really great insights 21 00:01:33,600 --> 00:01:35,920 Speaker 1: when it comes to trail cameras, and our plan is 22 00:01:35,959 --> 00:01:39,000 Speaker 1: to just grow him on all things. Trail cameras is 23 00:01:39,040 --> 00:01:41,119 Speaker 1: something we haven't taught. We've talked a little bit about 24 00:01:41,240 --> 00:01:44,000 Speaker 1: with a bunch of different people, we've never dove deep 25 00:01:44,000 --> 00:01:46,640 Speaker 1: on it with a guest. So I'm excited to do 26 00:01:46,680 --> 00:01:48,400 Speaker 1: that with Don here. And it's, you know, of course, 27 00:01:48,520 --> 00:01:51,440 Speaker 1: very timely since it's the summertime and if you're like me, 28 00:01:51,600 --> 00:01:54,520 Speaker 1: you're obsessing over trail cameras right now. But before we 29 00:01:54,600 --> 00:01:58,520 Speaker 1: do that, I need to trash talk a little bit 30 00:01:58,840 --> 00:02:02,520 Speaker 1: with the man, the myth, the co host, Dan Johnson, 31 00:02:03,240 --> 00:02:07,480 Speaker 1: also known as Dallas fort Worth. Dan, this is the 32 00:02:07,560 --> 00:02:11,080 Speaker 1: last podcast. This is the last podcast of the summer 33 00:02:11,800 --> 00:02:17,000 Speaker 1: in which you will have the upper hand on me. Okay, okay, 34 00:02:17,080 --> 00:02:19,840 Speaker 1: So bring the trash talk. I'm waiting for it. I'm 35 00:02:19,880 --> 00:02:22,240 Speaker 1: going to get a booner this weekend. I'm gonna get 36 00:02:22,240 --> 00:02:25,080 Speaker 1: a booner on trail camera and I'm gonna smoke you 37 00:02:25,120 --> 00:02:27,560 Speaker 1: in the trail camera. Bet. I'm That's all there is 38 00:02:27,560 --> 00:02:31,880 Speaker 1: to it. It's gonna happen. Well, you know, I hope 39 00:02:31,880 --> 00:02:34,000 Speaker 1: you do, Mark, And if you know, if you need 40 00:02:34,040 --> 00:02:39,919 Speaker 1: that to be successful in life. Then if you need 41 00:02:39,960 --> 00:02:45,359 Speaker 1: this one, you know, you can have it. But I 42 00:02:45,400 --> 00:02:48,280 Speaker 1: was thinking about this beat, right, So my question to 43 00:02:48,360 --> 00:02:54,200 Speaker 1: you is we we discussed we discussed total number of inches, right, Yeah, 44 00:02:54,520 --> 00:02:59,840 Speaker 1: So what happens if you get some giant booner twelve pointer, right, 45 00:03:00,520 --> 00:03:03,400 Speaker 1: and I have let's say that it's like one seventy 46 00:03:03,480 --> 00:03:08,000 Speaker 1: five eight in ten pointer and I have a hundred 47 00:03:08,000 --> 00:03:11,640 Speaker 1: and fifty hundred and sixty eight pointer, is there gonna 48 00:03:11,680 --> 00:03:15,000 Speaker 1: be Is this scale gonna be weighted at all? I 49 00:03:15,040 --> 00:03:17,800 Speaker 1: think it gets too subjective if you start getting at 50 00:03:17,880 --> 00:03:19,480 Speaker 1: least I mean personally, I think he's got to keep 51 00:03:19,480 --> 00:03:22,560 Speaker 1: it simple with inches. That's the only real way we 52 00:03:22,560 --> 00:03:27,400 Speaker 1: can really, you know, accurately quantify score, because if you 53 00:03:27,400 --> 00:03:29,560 Speaker 1: start saying, well, how much is an eight pointer worth? 54 00:03:29,600 --> 00:03:33,360 Speaker 1: Then it gets weird. Nope, I just figured, you know, 55 00:03:33,360 --> 00:03:35,240 Speaker 1: because I've seen some pretty big eight pointers on my 56 00:03:35,280 --> 00:03:39,600 Speaker 1: property in the past, and uh that that are are 57 00:03:39,720 --> 00:03:42,960 Speaker 1: really big, and that Buck Megatron from years ago that 58 00:03:43,040 --> 00:03:46,680 Speaker 1: you've seen, here's a giant eight pointer. And I've seen 59 00:03:46,760 --> 00:03:49,400 Speaker 1: some you know, four year old one fifties that you know, 60 00:03:49,440 --> 00:03:51,400 Speaker 1: a one fifty ten pointer and a one fifty eight 61 00:03:51,400 --> 00:03:56,280 Speaker 1: pointer looks completely different, right, very true. But you know, 62 00:03:56,560 --> 00:03:58,880 Speaker 1: you can trash talk me all you want. Um, you 63 00:03:58,880 --> 00:04:03,280 Speaker 1: can win if you want. But you know, I have 64 00:04:03,440 --> 00:04:05,880 Speaker 1: a couple of trail cameras that I have, like one 65 00:04:05,880 --> 00:04:08,200 Speaker 1: trail camera that I haven't checked yet, so who knows 66 00:04:08,240 --> 00:04:11,760 Speaker 1: what's on that one that's by an egg field? And um, 67 00:04:13,040 --> 00:04:15,240 Speaker 1: you know that the rest of my bucks will should 68 00:04:15,320 --> 00:04:19,520 Speaker 1: be close to finishing up. They're growing by this weekend 69 00:04:19,520 --> 00:04:24,240 Speaker 1: when I'm gonna go check them. And uh and after that, 70 00:04:24,480 --> 00:04:26,320 Speaker 1: you know, I think I'm gonna move a couple of 71 00:04:26,360 --> 00:04:28,400 Speaker 1: trail cameras and throw some corn out just to see 72 00:04:28,440 --> 00:04:30,480 Speaker 1: what's in different areas of the farm. Hopefully the water 73 00:04:30,560 --> 00:04:32,000 Speaker 1: is low enough to where I can get back in 74 00:04:32,040 --> 00:04:36,760 Speaker 1: there and you know, maybe put one last extra try 75 00:04:36,839 --> 00:04:39,000 Speaker 1: to to beat you know, to beat you. But you know, 76 00:04:39,040 --> 00:04:41,360 Speaker 1: if that what's that Glenn? He's the biggest one? Is 77 00:04:41,400 --> 00:04:44,599 Speaker 1: that beast? That's the biggest one? Well as of last year, 78 00:04:44,760 --> 00:04:47,600 Speaker 1: the Beast and Junkyard were the two that well, we're 79 00:04:47,600 --> 00:04:53,000 Speaker 1: definitely the biggest. So I saw a Junkyard on January two. 80 00:04:53,839 --> 00:04:56,400 Speaker 1: There's a good chance he made it. Um, I don't 81 00:04:56,400 --> 00:04:58,040 Speaker 1: know about beasts. I think the last pictures we've got 82 00:04:58,080 --> 00:05:00,760 Speaker 1: of him were mid December. But if either one of 83 00:05:00,800 --> 00:05:02,360 Speaker 1: them make it to this year, or Glen, any one 84 00:05:02,360 --> 00:05:04,520 Speaker 1: of those three, they could be they could be booners 85 00:05:04,560 --> 00:05:07,400 Speaker 1: this year. So well, I'll tell you what. It's the 86 00:05:07,800 --> 00:05:10,640 Speaker 1: good thing about it is you're on a property where 87 00:05:10,640 --> 00:05:13,279 Speaker 1: anything can happen. And I'm on a property where anything 88 00:05:13,320 --> 00:05:16,839 Speaker 1: can happen. And you know, I've had trail camera years 89 00:05:16,839 --> 00:05:19,760 Speaker 1: where I didn't get junk on my I didn't get 90 00:05:19,839 --> 00:05:23,920 Speaker 1: nothing on my trail cameras. And then I've seen studs 91 00:05:24,120 --> 00:05:26,640 Speaker 1: come through, you know, middle of October or even late 92 00:05:26,800 --> 00:05:30,600 Speaker 1: late October, So who knows what could happen. You know, Yeah, 93 00:05:30,640 --> 00:05:33,520 Speaker 1: this that's fun and we're making something out of it. 94 00:05:33,560 --> 00:05:38,240 Speaker 1: But what you get this time of year doesn't necessarily 95 00:05:38,400 --> 00:05:40,919 Speaker 1: represent what's going to be on your property in two months. 96 00:05:41,080 --> 00:05:42,960 Speaker 1: It's very true. This is this is really more just 97 00:05:43,000 --> 00:05:46,119 Speaker 1: about bragging, right, so exactly not really about what's actually 98 00:05:46,120 --> 00:05:49,200 Speaker 1: gonna happen there hunting season, that's for sure. Right. I 99 00:05:49,800 --> 00:05:52,440 Speaker 1: gotta say that I do have this like reoccurring nightmare 100 00:05:53,080 --> 00:05:54,839 Speaker 1: where in the middle of night, you give me a 101 00:05:54,880 --> 00:05:57,480 Speaker 1: call and you just tell me that no show. Jones 102 00:05:57,520 --> 00:05:59,240 Speaker 1: showed back up on your trail camera and he's like 103 00:05:59,400 --> 00:06:02,679 Speaker 1: two ten, and then I just cried myself back to sleep. 104 00:06:03,040 --> 00:06:05,200 Speaker 1: He probably wouldn't be to ten this year. He'll probably 105 00:06:05,200 --> 00:06:08,840 Speaker 1: be two seven to a seven, Okay, So you know, 106 00:06:09,520 --> 00:06:11,440 Speaker 1: I don't get your hopes up for that. Yeah, that 107 00:06:11,480 --> 00:06:14,400 Speaker 1: would be crazy. I didn't get any velvet pictures of 108 00:06:14,440 --> 00:06:17,680 Speaker 1: him last year. He just wanted to show up October seven, 109 00:06:18,480 --> 00:06:21,279 Speaker 1: the first time he was on my trail camera. He's 110 00:06:21,320 --> 00:06:26,080 Speaker 1: a late shower. I also don't have trail cameras down 111 00:06:26,120 --> 00:06:29,640 Speaker 1: where I believe his betting area is just too difficult 112 00:06:29,640 --> 00:06:33,160 Speaker 1: to get into right now. Well, it's just anytime there's 113 00:06:33,160 --> 00:06:35,839 Speaker 1: a heavy rain, it floods no matter what. Like the river, 114 00:06:36,240 --> 00:06:39,960 Speaker 1: it's all because everything around it's uphill all the way, 115 00:06:40,040 --> 00:06:42,520 Speaker 1: so all the water comes down, it floods and goes 116 00:06:42,520 --> 00:06:48,080 Speaker 1: back down real fast. But last year a combination of 117 00:06:48,160 --> 00:06:52,960 Speaker 1: wet and the crops got rotted out because the water 118 00:06:53,080 --> 00:06:55,320 Speaker 1: stayed for like two or three days, and then all 119 00:06:55,360 --> 00:06:59,080 Speaker 1: the crops got moldy. So I I felt, you know 120 00:06:59,120 --> 00:07:01,640 Speaker 1: why I go down on there when there's no crops? Yeah, 121 00:07:01,839 --> 00:07:04,160 Speaker 1: and you could have the chance of bumping anything, But 122 00:07:04,400 --> 00:07:07,279 Speaker 1: are you gonna be seting trail cameras or stands this 123 00:07:07,279 --> 00:07:09,920 Speaker 1: weekend too. I've already got stands hung, but I'm gonna 124 00:07:09,960 --> 00:07:12,320 Speaker 1: go out there and just check them all, make sure 125 00:07:12,440 --> 00:07:15,000 Speaker 1: that straps are good, trim out of anything else that 126 00:07:15,000 --> 00:07:17,560 Speaker 1: I might need to that might have grown up, just 127 00:07:17,600 --> 00:07:20,320 Speaker 1: some maintenance stuff like that. So the plan is, I'm 128 00:07:20,320 --> 00:07:22,680 Speaker 1: gonna we're gonna drive up early on Friday so we 129 00:07:22,720 --> 00:07:24,800 Speaker 1: can get there in time for me to sneak out 130 00:07:24,960 --> 00:07:26,920 Speaker 1: and sit on the edge of the bean field tomorrow 131 00:07:27,000 --> 00:07:30,320 Speaker 1: or Friday night and try to hopefully see something come 132 00:07:30,360 --> 00:07:33,000 Speaker 1: out and feed, and then I'll pull the cards that 133 00:07:33,120 --> 00:07:36,160 Speaker 1: night after dark. The next morning we'll go back and 134 00:07:36,200 --> 00:07:38,520 Speaker 1: that's what I'll do, the maintenance and check on things 135 00:07:38,520 --> 00:07:41,560 Speaker 1: and just make every make sure everything's good. I'll add 136 00:07:41,560 --> 00:07:43,120 Speaker 1: I think i'm gonna we're gonna add a third trail 137 00:07:43,200 --> 00:07:44,920 Speaker 1: care around the property, make sure those are all good 138 00:07:44,960 --> 00:07:46,960 Speaker 1: to go, and then that night we're just going to 139 00:07:47,040 --> 00:07:49,440 Speaker 1: do a driver on the neighborhood, hopefully see some more 140 00:07:49,480 --> 00:07:52,240 Speaker 1: deer out in the field, and then head home Sunday. So, 141 00:07:53,200 --> 00:07:56,200 Speaker 1: now I got a question for it. You leave your Yeah, 142 00:07:56,240 --> 00:07:59,840 Speaker 1: I can't talk. You leave your tree stands up all 143 00:07:59,880 --> 00:08:04,520 Speaker 1: your around, well it depends they hang on yeah, okay, 144 00:08:04,880 --> 00:08:07,520 Speaker 1: so on on our all high property they have. I 145 00:08:07,520 --> 00:08:10,920 Speaker 1: did leave him up over the year. I don't know, man, 146 00:08:11,000 --> 00:08:15,440 Speaker 1: I've had too many worst case scenarios happened where someone 147 00:08:15,480 --> 00:08:18,200 Speaker 1: either steals them, like, I don't know how they did 148 00:08:18,240 --> 00:08:20,480 Speaker 1: it because I I don't leave my sticks up. I 149 00:08:20,560 --> 00:08:23,560 Speaker 1: leave the hang on up and they must have brought 150 00:08:23,560 --> 00:08:27,240 Speaker 1: a ladder and took it down. Yeah. And the other 151 00:08:27,280 --> 00:08:30,440 Speaker 1: one is squirrels. If I leave it up all year, 152 00:08:30,640 --> 00:08:32,880 Speaker 1: they chew the seats out of them. Yeah. I have 153 00:08:33,040 --> 00:08:35,559 Speaker 1: had that happen too. I've tried it when I'm when 154 00:08:35,559 --> 00:08:37,520 Speaker 1: I'm on my A game, I try to remember take 155 00:08:37,600 --> 00:08:41,760 Speaker 1: the cushions off over the season, but I've forgotten to 156 00:08:41,800 --> 00:08:44,800 Speaker 1: do that too. And I've got some chew tree stands. Yeah. 157 00:08:44,920 --> 00:08:49,400 Speaker 1: Actually been from HUNTERA is coming to fill me and 158 00:08:49,559 --> 00:08:51,440 Speaker 1: help me hang stands this week, and so it's gonna 159 00:08:51,480 --> 00:08:53,760 Speaker 1: be pretty fun and we're gonna probably do some glassing 160 00:08:53,800 --> 00:08:57,520 Speaker 1: and driving around and uh, it's gonna be a fun week. 161 00:08:57,520 --> 00:08:59,720 Speaker 1: And I just love doing these kind of things, especially 162 00:08:59,800 --> 00:09:01,480 Speaker 1: when and I don't get to get to do them 163 00:09:01,520 --> 00:09:02,960 Speaker 1: as much as I used to, and I'm sure that 164 00:09:03,120 --> 00:09:05,040 Speaker 1: kind of goes the same for you. Yeah, it will 165 00:09:05,080 --> 00:09:06,400 Speaker 1: be a fun week. And I heard I talked to 166 00:09:06,440 --> 00:09:08,760 Speaker 1: Benny said the same thing. I'm jealous. You guys are 167 00:09:08,760 --> 00:09:10,319 Speaker 1: can get to do that. But me and Corey will 168 00:09:10,320 --> 00:09:12,280 Speaker 1: be doing the same in Ohio, so we'll have to 169 00:09:12,360 --> 00:09:14,800 Speaker 1: keep each other posted on on how it's going. Is 170 00:09:14,840 --> 00:09:21,360 Speaker 1: Corey is still trying to steal your sheds from you? Yeah, yeah, 171 00:09:22,920 --> 00:09:24,720 Speaker 1: I won't go into it, but there's a good story 172 00:09:24,760 --> 00:09:27,320 Speaker 1: about he. He stole one from me in Ohio the 173 00:09:27,360 --> 00:09:30,679 Speaker 1: weekend after you we're all done with you, But that's 174 00:09:30,679 --> 00:09:32,199 Speaker 1: a story for another day. I don't know if I 175 00:09:32,240 --> 00:09:39,400 Speaker 1: can trust that guy. Yeah, he's a shady character, except 176 00:09:39,400 --> 00:09:42,120 Speaker 1: for the key is to make sure he's sleeping, which 177 00:09:42,160 --> 00:09:44,280 Speaker 1: happens most of the time. As you saw on the 178 00:09:44,360 --> 00:09:47,360 Speaker 1: on the drafts, we weren't even in the car for 179 00:09:47,400 --> 00:09:52,480 Speaker 1: five minutes sleep. Oh gosh. We were hunting during the 180 00:09:52,559 --> 00:09:55,839 Speaker 1: rut last year and me and Corey and my other 181 00:09:55,840 --> 00:09:58,280 Speaker 1: buddy Josh, we're all sharing hotel room in Ohio because 182 00:09:58,320 --> 00:09:59,880 Speaker 1: we're all, you know, trying to state on there for cheap, 183 00:10:00,600 --> 00:10:03,480 Speaker 1: and we were back for some reason during the middle 184 00:10:03,520 --> 00:10:04,880 Speaker 1: of the day. I think maybe it was the day 185 00:10:04,880 --> 00:10:07,160 Speaker 1: I shot my buck. And so we recovered him and 186 00:10:07,160 --> 00:10:09,520 Speaker 1: took care of all that, and again within like five 187 00:10:09,520 --> 00:10:11,599 Speaker 1: minutes to get back to hotel room. He's laying on 188 00:10:11,640 --> 00:10:13,640 Speaker 1: the bed like looks like a dead person the way 189 00:10:13,640 --> 00:10:16,120 Speaker 1: he's laying there, his mouth's open, he's sprawled out, and 190 00:10:16,160 --> 00:10:18,320 Speaker 1: so for like fifteen minutes we just took different pictures 191 00:10:18,320 --> 00:10:21,080 Speaker 1: of him and texted to all of our buddies and uh, 192 00:10:21,200 --> 00:10:22,720 Speaker 1: we would try to wake him up or poke him, 193 00:10:22,800 --> 00:10:25,920 Speaker 1: and he he doesn't wake So he's one of the 194 00:10:26,360 --> 00:10:30,760 Speaker 1: he's yeah, hey, Corey, he's gonna call me after listening 195 00:10:30,760 --> 00:10:38,079 Speaker 1: to this piste. What he gets talking about before. That's 196 00:10:38,080 --> 00:10:40,600 Speaker 1: how I'd like to pretend he talks. I don't think 197 00:10:40,600 --> 00:10:43,880 Speaker 1: he really does, but that's my character of him. Well 198 00:10:44,600 --> 00:10:47,719 Speaker 1: came trail cameras. I think U Don is going to 199 00:10:47,800 --> 00:10:50,040 Speaker 1: have much more useful stuff to talk about when it 200 00:10:50,040 --> 00:10:52,520 Speaker 1: comes to trail cameras than than you and me right now. 201 00:10:52,679 --> 00:10:56,040 Speaker 1: So I think it's time to give down a call. 202 00:10:56,440 --> 00:10:59,760 Speaker 1: And you know, my plan, Dan is that we just 203 00:11:00,360 --> 00:11:03,760 Speaker 1: ask Don every question we've ever had about trail cameras. 204 00:11:04,000 --> 00:11:06,080 Speaker 1: He's been using them for a long time. He uses 205 00:11:06,120 --> 00:11:08,120 Speaker 1: them a lot, and I think he's got a lot 206 00:11:08,160 --> 00:11:11,199 Speaker 1: of interesting insights you can share about them. So I'm 207 00:11:11,200 --> 00:11:14,480 Speaker 1: just curious what his kind of playing throughout the season 208 00:11:14,800 --> 00:11:19,360 Speaker 1: or the entire year compared to what I currently do. Yeah, 209 00:11:19,520 --> 00:11:22,560 Speaker 1: me too, So I'd say, let's let's give down a ring. 210 00:11:23,040 --> 00:11:26,840 Speaker 1: All right, all right, here goes, But quickly before we 211 00:11:26,880 --> 00:11:29,240 Speaker 1: do call down, we need to pause for a brief 212 00:11:29,240 --> 00:11:32,079 Speaker 1: word from our sponsors of this podcast, Sick of Gear, 213 00:11:32,360 --> 00:11:34,680 Speaker 1: And we're continuing on with our series with Dennis Zuck, 214 00:11:34,760 --> 00:11:37,640 Speaker 1: the White Tailed product category leader for SIKA, and today 215 00:11:37,720 --> 00:11:39,800 Speaker 1: I wanted to ask Dennis about the opt to fade 216 00:11:39,960 --> 00:11:43,200 Speaker 1: camouflage patterns that SIKA uses, which are very different from 217 00:11:43,240 --> 00:11:46,160 Speaker 1: most other mainstream cameos. And to me, it seems like 218 00:11:46,200 --> 00:11:49,480 Speaker 1: SIKA looks at camo from a scientific angle rather than 219 00:11:49,520 --> 00:11:52,600 Speaker 1: just trying to look like everyone else. So, Dennis, is 220 00:11:52,640 --> 00:11:56,760 Speaker 1: that accurate? Absolutely? I mean, so we've we've we've put 221 00:11:56,800 --> 00:12:00,120 Speaker 1: a lot of time and energy into this question, and 222 00:12:00,360 --> 00:12:03,480 Speaker 1: we've worked with experts like Colonel O'Neill from West Point, Uh, 223 00:12:03,520 --> 00:12:06,439 Speaker 1: you know, Dr Knights and Guy Kramer and people who 224 00:12:06,440 --> 00:12:09,400 Speaker 1: are just experts in their field of vision. And you know, 225 00:12:09,440 --> 00:12:11,920 Speaker 1: when you think about camouflage, you know there's really you know, 226 00:12:11,920 --> 00:12:13,640 Speaker 1: when you look at a mimicry pattern, you're looking at 227 00:12:13,679 --> 00:12:15,679 Speaker 1: something that to you is high deaf. You can see 228 00:12:15,720 --> 00:12:18,400 Speaker 1: the lines and it's it's crystal clear. But what a 229 00:12:18,440 --> 00:12:20,320 Speaker 1: lot of people don't think of is what happens when 230 00:12:20,320 --> 00:12:22,400 Speaker 1: you get away from that product or that piece or 231 00:12:22,440 --> 00:12:25,120 Speaker 1: that image. Um, what happens is you really don't see 232 00:12:25,120 --> 00:12:27,640 Speaker 1: those lines anymore and everything starts to become one big thing. 233 00:12:27,720 --> 00:12:31,240 Speaker 1: It's a term ice aluminance, as the fancy word people use. 234 00:12:31,880 --> 00:12:34,560 Speaker 1: But so when we look at camouflage, we absolutely believe 235 00:12:34,559 --> 00:12:37,200 Speaker 1: it is scientific. And you think of how a deer 236 00:12:37,240 --> 00:12:39,920 Speaker 1: and ungulate is that the fancy were there that that 237 00:12:39,920 --> 00:12:43,160 Speaker 1: that that animal sees, you know, in the blue spectrums 238 00:12:43,160 --> 00:12:45,080 Speaker 1: and the color visions they may or may not have, 239 00:12:45,200 --> 00:12:47,079 Speaker 1: or the the eye that's not in the front of 240 00:12:47,120 --> 00:12:48,680 Speaker 1: their head but the side of their head, the two 241 00:12:48,679 --> 00:12:52,680 Speaker 1: eight eight degree range, you know, thinking about well let me, 242 00:12:52,840 --> 00:12:54,800 Speaker 1: let me, let me look through their eye and well 243 00:12:54,800 --> 00:12:57,280 Speaker 1: what does that have? What happens? Then? You know where 244 00:12:57,280 --> 00:13:00,560 Speaker 1: am I hunting? If I'm looking up? What happens? Then? Um, 245 00:13:00,600 --> 00:13:04,200 Speaker 1: all of those things are absolutely inputs that we believe 246 00:13:04,200 --> 00:13:06,960 Speaker 1: are important to consider, not in the end, but in 247 00:13:06,960 --> 00:13:09,360 Speaker 1: the beginning when you start to develop, when you start 248 00:13:09,360 --> 00:13:11,960 Speaker 1: thinking about how do I make a better thing, and 249 00:13:12,040 --> 00:13:14,760 Speaker 1: you know the results are different, they look different. So 250 00:13:15,000 --> 00:13:17,960 Speaker 1: call it digital, I would call it scientific. If you'd 251 00:13:17,960 --> 00:13:19,600 Speaker 1: like to learn more about sick as Opt to Fade 252 00:13:19,640 --> 00:13:22,360 Speaker 1: camera or their white tail line of gear, visit sick 253 00:13:22,400 --> 00:13:26,520 Speaker 1: of gear dot com. And now let's get down on 254 00:13:26,559 --> 00:13:29,920 Speaker 1: the line. All right with us on the line now 255 00:13:30,120 --> 00:13:33,720 Speaker 1: is Don Higgins. Welcome back to the show. Done. Thanks 256 00:13:33,760 --> 00:13:36,520 Speaker 1: for having me Mark, I appreciate it. Yeah, we uh, 257 00:13:36,600 --> 00:13:39,240 Speaker 1: we really enjoyed chatting with you back in December of 258 00:13:39,360 --> 00:13:42,200 Speaker 1: last year, and we we just had to make sure 259 00:13:42,200 --> 00:13:44,160 Speaker 1: we talk some more and got some more information out 260 00:13:44,160 --> 00:13:47,400 Speaker 1: of you. So we're excited to do that. But how's 261 00:13:47,400 --> 00:13:49,000 Speaker 1: your summer been so far? Are you seeing some big 262 00:13:49,000 --> 00:13:53,440 Speaker 1: deer yet? Uh? Yeah, I've actually got a few trail 263 00:13:53,520 --> 00:13:56,680 Speaker 1: camera pictures of some pretty nice ones. Um. I don't 264 00:13:56,720 --> 00:14:00,480 Speaker 1: do a whole lot of you know, observe you know, 265 00:14:00,840 --> 00:14:04,800 Speaker 1: I don't want to pollute my areas anymore than absolutely necessary, 266 00:14:05,280 --> 00:14:07,839 Speaker 1: So I don't sit on bean fields and evenings like 267 00:14:07,840 --> 00:14:10,079 Speaker 1: a lot of guys do. I just let my trail 268 00:14:10,120 --> 00:14:13,080 Speaker 1: cameras do that for me. And even though I'd like 269 00:14:13,160 --> 00:14:15,120 Speaker 1: to have some video footage of some of those bucks, 270 00:14:15,360 --> 00:14:18,480 Speaker 1: I just feel that the less pressure of the better. Yeah, 271 00:14:18,480 --> 00:14:20,960 Speaker 1: that's a tough line to walk. It's always really tempting 272 00:14:20,960 --> 00:14:23,080 Speaker 1: to see what's out there, but to your point, you 273 00:14:23,080 --> 00:14:26,160 Speaker 1: don't want to screw things up before the season even starts, right, 274 00:14:26,400 --> 00:14:28,320 Speaker 1: And you know, occasionally I do go out if I 275 00:14:28,400 --> 00:14:30,440 Speaker 1: get a buck that I'm planning on harvesting that fall, 276 00:14:30,440 --> 00:14:33,360 Speaker 1: if I get the opportunity, and I don't have a 277 00:14:33,360 --> 00:14:35,440 Speaker 1: lot of history with the bucks, sometimes I will go 278 00:14:35,480 --> 00:14:38,400 Speaker 1: out and sit at a distance with the hopes of 279 00:14:38,640 --> 00:14:41,040 Speaker 1: maybe getting a little velvet footage that wide to the 280 00:14:41,040 --> 00:14:45,360 Speaker 1: story later. Yeah. Last year, Yeah, last year and December 281 00:14:45,360 --> 00:14:47,520 Speaker 1: when we talk to you, you'd mentioned that there was 282 00:14:47,760 --> 00:14:50,280 Speaker 1: a really nice deer that you wanted to see get 283 00:14:50,320 --> 00:14:52,440 Speaker 1: to the next year. And I think, if I currently 284 00:14:52,440 --> 00:14:53,840 Speaker 1: if I'm wrong, but I think, if I remember, you 285 00:14:53,880 --> 00:14:55,920 Speaker 1: had mentioned that you thought you knew where he was. 286 00:14:55,960 --> 00:14:57,880 Speaker 1: He was on specific property, so you were just leaving 287 00:14:57,880 --> 00:14:59,640 Speaker 1: it alone completely because he wanted to make sure he 288 00:14:59,680 --> 00:15:03,320 Speaker 1: made it through. Um, has he made it through. Yeah, 289 00:15:03,360 --> 00:15:06,920 Speaker 1: he did. I've got several pictures of m already, and 290 00:15:07,280 --> 00:15:09,320 Speaker 1: I guess the bad news. Last year he was a 291 00:15:09,360 --> 00:15:12,840 Speaker 1: six by six with a four G two on one side. 292 00:15:13,600 --> 00:15:16,120 Speaker 1: This year he's a five by five with both fok 293 00:15:16,200 --> 00:15:20,240 Speaker 1: G two s And uh, I don't know if he's 294 00:15:20,240 --> 00:15:22,000 Speaker 1: going to score as well as he did a year ago. 295 00:15:23,160 --> 00:15:25,400 Speaker 1: But he's definitely got a little more masks. But I 296 00:15:25,440 --> 00:15:27,680 Speaker 1: think it, well, it cost him. He don't have his 297 00:15:28,000 --> 00:15:32,080 Speaker 1: uh you know, a six typical point on each side. Uh, 298 00:15:33,120 --> 00:15:36,120 Speaker 1: and it might have cost him a little timeline. What 299 00:15:36,120 --> 00:15:39,600 Speaker 1: are you looking at for a score growth score? Oh, 300 00:15:39,640 --> 00:15:42,400 Speaker 1: he's definitely in the one seventies. Uh, he might hit 301 00:15:42,480 --> 00:15:44,920 Speaker 1: one eighty. And I think he would have definitely hit 302 00:15:44,960 --> 00:15:48,160 Speaker 1: one eighty a year ago and he still might. But 303 00:15:49,280 --> 00:15:50,680 Speaker 1: and is he going to be a five year old 304 00:15:50,680 --> 00:15:56,120 Speaker 1: this year? Uh? This year? He is? Yes, he's five 305 00:15:56,160 --> 00:15:59,240 Speaker 1: this year? So is he? Is he going to be 306 00:15:59,280 --> 00:16:01,040 Speaker 1: a buck your entire Are you gonna try to try 307 00:16:01,080 --> 00:16:05,040 Speaker 1: to give him another year? Still? Well, I'm kind of 308 00:16:05,120 --> 00:16:06,960 Speaker 1: still up in the air about that. I just got 309 00:16:07,000 --> 00:16:09,920 Speaker 1: a new lease that just kind of fell into my 310 00:16:10,000 --> 00:16:12,400 Speaker 1: lap this summer that I have no idea what's there. 311 00:16:12,600 --> 00:16:15,920 Speaker 1: I put one trail camera up so far and uh, 312 00:16:16,120 --> 00:16:20,360 Speaker 1: I haven't even checked it yet, just kind of trying 313 00:16:20,400 --> 00:16:22,680 Speaker 1: to get a feel for the property right now, so 314 00:16:23,880 --> 00:16:25,720 Speaker 1: you know, if if there's a giant there, then I'll 315 00:16:25,720 --> 00:16:28,240 Speaker 1: probably see if this buck will go back to six 316 00:16:28,280 --> 00:16:31,000 Speaker 1: by six main frame and maybe keep those four g 317 00:16:31,200 --> 00:16:35,840 Speaker 1: twos on each side and and uh, you know, he 318 00:16:35,960 --> 00:16:38,360 Speaker 1: might have a big jump in him. Yet I've seen 319 00:16:38,520 --> 00:16:40,600 Speaker 1: wild bucks that didn't have their best racks till they 320 00:16:40,640 --> 00:16:43,800 Speaker 1: was nine years old, so I don't give up on 321 00:16:43,840 --> 00:16:46,720 Speaker 1: them too early. Yeah, he uh, he could be a 322 00:16:46,720 --> 00:16:49,360 Speaker 1: megatoad next year if he if he put on that 323 00:16:49,560 --> 00:16:52,720 Speaker 1: another set of points, well that's why I'm hoping. And 324 00:16:52,760 --> 00:16:54,920 Speaker 1: he's always had him he's always had at least six 325 00:16:54,960 --> 00:16:58,920 Speaker 1: points per side since he was a yearling. And very 326 00:16:58,960 --> 00:17:01,000 Speaker 1: few bucks will catch my eye as a yearling, but 327 00:17:01,040 --> 00:17:04,560 Speaker 1: he's the one that did. And uh, you know, he's 328 00:17:04,600 --> 00:17:08,520 Speaker 1: been there every summer, same property, and he ranges off 329 00:17:08,560 --> 00:17:11,440 Speaker 1: the property a little bit in the fall. But there's 330 00:17:11,520 --> 00:17:15,880 Speaker 1: one particular drawl right behind the farmhouse that always holds 331 00:17:15,880 --> 00:17:18,159 Speaker 1: a handful of dose. When the hunting pressure gets on, 332 00:17:18,240 --> 00:17:21,000 Speaker 1: the crops start coming out. The dose seemed to pile 333 00:17:21,119 --> 00:17:23,040 Speaker 1: in behind the barn and stuff in that little draw 334 00:17:23,680 --> 00:17:27,560 Speaker 1: and uh, come mid November. Trail cameras always show that 335 00:17:27,600 --> 00:17:30,920 Speaker 1: Buck showing up there, so I know he's gonna be 336 00:17:31,119 --> 00:17:34,000 Speaker 1: being in there come mid November. I've got a couple 337 00:17:34,000 --> 00:17:37,359 Speaker 1: of stands for various wind directions on that draw that 338 00:17:38,320 --> 00:17:40,240 Speaker 1: you know I'm set to go after him. It's just, 339 00:17:41,320 --> 00:17:43,040 Speaker 1: you know, it depends on what else I find between 340 00:17:43,080 --> 00:17:46,040 Speaker 1: now and the first November. Yeah, we'll be interested to 341 00:17:46,080 --> 00:17:48,399 Speaker 1: hear what you end up doing. It sounds like he'll be. 342 00:17:48,480 --> 00:17:50,479 Speaker 1: He'll be incredible buck either way. With it's this year 343 00:17:50,600 --> 00:17:53,480 Speaker 1: next year. But tough decision. I guess I can understand that. 344 00:17:54,560 --> 00:17:57,320 Speaker 1: You know, I did misspeak. He is six years old 345 00:17:57,400 --> 00:18:01,160 Speaker 1: this year. He's not five. Last year he was five. 346 00:18:01,400 --> 00:18:05,240 Speaker 1: This year he has six. So I've been watching for 347 00:18:05,320 --> 00:18:08,359 Speaker 1: a while. Yeah, definitely mature Buck. I got a question 348 00:18:08,400 --> 00:18:10,760 Speaker 1: for you, and this, you know, I guess if we're 349 00:18:10,760 --> 00:18:14,080 Speaker 1: gonna start, we can start like start here. Um, And 350 00:18:14,119 --> 00:18:16,800 Speaker 1: this this may not even be about what we're gonna 351 00:18:16,840 --> 00:18:21,920 Speaker 1: talk about today, but you run trail cameras and you've 352 00:18:21,920 --> 00:18:24,760 Speaker 1: been following and you have history with some of these deer. 353 00:18:25,720 --> 00:18:28,800 Speaker 1: What years like let's stay between four or five or 354 00:18:28,840 --> 00:18:33,280 Speaker 1: five and six or six and seven? What years do, dear, 355 00:18:33,600 --> 00:18:37,080 Speaker 1: do these bucks tend to make their biggest jumps? Have? 356 00:18:37,280 --> 00:18:42,119 Speaker 1: Have you noticed a trend with that at all? Yeah? 357 00:18:42,280 --> 00:18:44,800 Speaker 1: And actually that my answer is probably gonna surprise you 358 00:18:44,960 --> 00:18:48,439 Speaker 1: because I find a lot of bucks when they're three 359 00:18:48,520 --> 00:18:52,399 Speaker 1: years old that kind of tells the story. Between two 360 00:18:52,480 --> 00:18:55,600 Speaker 1: and three they make a big jump, and a lot 361 00:18:55,680 --> 00:18:57,680 Speaker 1: I can't even tell you the percentage wise, but well 362 00:18:57,720 --> 00:19:01,680 Speaker 1: over half of the bucks that I've ever followed, uh, 363 00:19:01,920 --> 00:19:05,520 Speaker 1: do not make major jumps after three years old. They'll 364 00:19:05,520 --> 00:19:07,960 Speaker 1: put on mask a little more. Now, some of them do, 365 00:19:07,960 --> 00:19:09,679 Speaker 1: don't get me wrong, there's something to do, but a 366 00:19:09,720 --> 00:19:12,240 Speaker 1: lot of them, you know, if they're a basic eight 367 00:19:12,400 --> 00:19:15,680 Speaker 1: at three years old, they're probably gonna be a basic 368 00:19:15,720 --> 00:19:18,920 Speaker 1: eight point at five years old. Um, they might add 369 00:19:18,920 --> 00:19:21,520 Speaker 1: a little time length and definitely WY had some masks, 370 00:19:21,560 --> 00:19:23,560 Speaker 1: but they just don't add a big jump and score. 371 00:19:25,359 --> 00:19:28,560 Speaker 1: The reason I asked that is because I had a 372 00:19:28,680 --> 00:19:32,560 Speaker 1: guy who's his name is Sam Clara. He's a deer 373 00:19:32,600 --> 00:19:37,440 Speaker 1: farmer and white tail hunter extravagant or whatever that word is. 374 00:19:37,840 --> 00:19:42,440 Speaker 1: And uh, he tells me that a deer skeletal system 375 00:19:42,680 --> 00:19:46,159 Speaker 1: stops grow like reaches maturity at the end of its 376 00:19:46,240 --> 00:19:49,399 Speaker 1: fourth year, meaning that the calcium that would go into 377 00:19:50,000 --> 00:19:54,520 Speaker 1: um grow bone density now can be transferred towards gaantler growth. 378 00:19:54,800 --> 00:19:59,040 Speaker 1: And that from from what he said, the biggest jump 379 00:19:59,119 --> 00:20:01,840 Speaker 1: is between the fourth of the fifth year. I didn't 380 00:20:01,840 --> 00:20:05,120 Speaker 1: know if that was anything that that you have witnessed 381 00:20:05,119 --> 00:20:09,600 Speaker 1: in in your in your years. Well, yeah, I've seen 382 00:20:09,640 --> 00:20:11,280 Speaker 1: a lot of bucks do that, no doubt about it. 383 00:20:11,320 --> 00:20:15,199 Speaker 1: And Sam's absolutely right. They the skeletal system will mature 384 00:20:15,240 --> 00:20:19,440 Speaker 1: at four years old, and and Sam raises some captive deer, 385 00:20:19,480 --> 00:20:22,199 Speaker 1: as do I. So we've both had firsthand experience with 386 00:20:22,280 --> 00:20:24,560 Speaker 1: bucks that you know, we absolutely know the age without 387 00:20:24,600 --> 00:20:28,320 Speaker 1: a doubt and uh, and he's right about that. But 388 00:20:28,320 --> 00:20:30,560 Speaker 1: but there's a lot of bucks that that I see 389 00:20:30,560 --> 00:20:33,000 Speaker 1: that just you know, at three years old, whatever they 390 00:20:33,040 --> 00:20:35,040 Speaker 1: are is what they are, and they don't get much bigger, 391 00:20:35,640 --> 00:20:37,480 Speaker 1: and they'll add some masks, they might have a little 392 00:20:37,480 --> 00:20:40,360 Speaker 1: bit of spread, but you know, you just don't get 393 00:20:40,400 --> 00:20:42,880 Speaker 1: like a twenty five inch jump in any one year 394 00:20:43,280 --> 00:20:48,239 Speaker 1: after three years old. But sorry, go ahead done. On 395 00:20:48,280 --> 00:20:51,720 Speaker 1: the other hand, the biggest buck I ever shot as 396 00:20:51,760 --> 00:20:55,480 Speaker 1: a three year old. And this is almost eleven years ago, 397 00:20:55,840 --> 00:21:01,159 Speaker 1: twelve years ago now, but I missed that buck as 398 00:21:01,160 --> 00:21:03,760 Speaker 1: a three year old. At that time, I was my 399 00:21:03,880 --> 00:21:06,000 Speaker 1: goal was at inch deer and he was at that 400 00:21:06,040 --> 00:21:10,680 Speaker 1: one mark and just barely, um, I missed that buck. 401 00:21:10,760 --> 00:21:13,280 Speaker 1: He was three years old. I found his shed antlers, 402 00:21:13,440 --> 00:21:17,240 Speaker 1: um that winner. I didn't see the buck the following 403 00:21:17,320 --> 00:21:18,720 Speaker 1: year when he would have been a four year old, 404 00:21:18,760 --> 00:21:20,720 Speaker 1: but the fall of the year after that, when he 405 00:21:20,800 --> 00:21:23,679 Speaker 1: was five, I end up shooting him and he scored 406 00:21:23,720 --> 00:21:27,760 Speaker 1: two fourteen. So from three to five he went from 407 00:21:27,800 --> 00:21:31,919 Speaker 1: one fort to t fourteen. And and in fact the 408 00:21:32,000 --> 00:21:34,760 Speaker 1: jump was so incredible that I had the I killed 409 00:21:34,760 --> 00:21:36,080 Speaker 1: the buck and I got him back from the tax 410 00:21:36,200 --> 00:21:38,600 Speaker 1: termist had him hanging on the wall. And I bet 411 00:21:38,640 --> 00:21:42,240 Speaker 1: it was four to six months later before I realized. 412 00:21:42,440 --> 00:21:44,400 Speaker 1: And one day had just hit me. He's like, wait 413 00:21:44,440 --> 00:21:46,919 Speaker 1: a minute, I better go. Let me go grab them sheds. 414 00:21:46,920 --> 00:21:48,359 Speaker 1: And I held them sheds up there, and there was 415 00:21:48,400 --> 00:21:52,640 Speaker 1: absolutely no doubt it was the same deer. That's nuts. Yeah, 416 00:21:52,840 --> 00:21:54,800 Speaker 1: And I would have never even I mean, they just 417 00:21:55,720 --> 00:21:58,440 Speaker 1: the difference between three and five on that deer was 418 00:21:58,480 --> 00:22:02,280 Speaker 1: so incredible that without putting the ant right up to 419 00:22:02,400 --> 00:22:04,200 Speaker 1: the to the other ant, you would have never guessed 420 00:22:04,240 --> 00:22:07,639 Speaker 1: it was the same deer. That's crazy. So I just 421 00:22:07,800 --> 00:22:10,280 Speaker 1: I just did a little bit of on the air 422 00:22:10,400 --> 00:22:14,399 Speaker 1: research and there's an article from the Quality of Management 423 00:22:14,440 --> 00:22:18,000 Speaker 1: Association on their website sharing some data from research done 424 00:22:18,040 --> 00:22:21,760 Speaker 1: at Mississippi State University and Texas and M who tried 425 00:22:21,800 --> 00:22:25,280 Speaker 1: to research and quantify this exact question. So you know, 426 00:22:25,920 --> 00:22:28,119 Speaker 1: as we've both as all mentioned, there's all there's always 427 00:22:28,119 --> 00:22:30,960 Speaker 1: gonna anomaly. Some deer don't stick to this, But if 428 00:22:31,000 --> 00:22:33,960 Speaker 1: you average everything out, the largest jumps from one and 429 00:22:34,040 --> 00:22:36,080 Speaker 1: a half to two and a half actually where they 430 00:22:36,119 --> 00:22:38,919 Speaker 1: go from on average about thirty of the potential growth 431 00:22:39,000 --> 00:22:41,840 Speaker 1: to their potential growth by two and a half. That's 432 00:22:41,840 --> 00:22:45,359 Speaker 1: the largest on average. And then from two to three 433 00:22:45,960 --> 00:22:48,960 Speaker 1: on average they jump up by So at three and 434 00:22:49,000 --> 00:22:52,439 Speaker 1: a half, most average deer have reached eight of growth 435 00:22:53,200 --> 00:22:55,400 Speaker 1: um and then it just slowly goes up from there. 436 00:22:55,440 --> 00:22:57,240 Speaker 1: So to your point down after three and a half, 437 00:22:57,280 --> 00:22:59,840 Speaker 1: there's not a huge jump. It kind of slowly goes 438 00:23:00,119 --> 00:23:03,720 Speaker 1: for the average dear um. So between five and seven 439 00:23:03,960 --> 00:23:08,160 Speaker 1: is when the average buck will peak. So interesting little 440 00:23:08,200 --> 00:23:12,879 Speaker 1: bit of insight there from from researchers. Yeah, and I 441 00:23:12,920 --> 00:23:15,960 Speaker 1: think we as hunters don't tend to give the bucks 442 00:23:16,080 --> 00:23:20,240 Speaker 1: enough credit as for being individuals. It's uh to put 443 00:23:20,280 --> 00:23:21,879 Speaker 1: it in human terms. You know, we all went to 444 00:23:21,920 --> 00:23:25,680 Speaker 1: school with those guys that we're in junior high we're 445 00:23:25,680 --> 00:23:28,080 Speaker 1: shaving and who are already built like man, you know, 446 00:23:28,800 --> 00:23:31,080 Speaker 1: and the other guys that didn't mature until you know, 447 00:23:31,119 --> 00:23:32,879 Speaker 1: you go back for your ten year reunion. In that 448 00:23:32,960 --> 00:23:35,000 Speaker 1: little runt that was in your class, he's the biggest 449 00:23:35,000 --> 00:23:40,840 Speaker 1: guy there. I'm still waiting for that. Well, but me too. 450 00:23:40,920 --> 00:23:46,119 Speaker 1: But uh, I've just watched, you know, over the years, 451 00:23:46,119 --> 00:23:48,439 Speaker 1: like this summer, for example, I've got twenty one bucks 452 00:23:48,440 --> 00:23:52,239 Speaker 1: here in research pans that that i'm watching mature or 453 00:23:52,240 --> 00:23:55,239 Speaker 1: grow grow out the racks. And I've been doing this 454 00:23:55,280 --> 00:23:57,640 Speaker 1: for over twenty years. So in that twenty years time, 455 00:23:57,680 --> 00:24:00,520 Speaker 1: I've watched hundreds of bucks grow that I absolutely know 456 00:24:00,600 --> 00:24:03,440 Speaker 1: without a doubt what their age is. And that kind 457 00:24:03,440 --> 00:24:06,880 Speaker 1: of brings up a pet peeve of mind. I see 458 00:24:06,920 --> 00:24:09,280 Speaker 1: all these articles and this stuff on the internet, you 459 00:24:09,280 --> 00:24:11,679 Speaker 1: know about age, this buck ag just buck, and I'm 460 00:24:11,720 --> 00:24:15,200 Speaker 1: telling you that it's about impossible to do their Their 461 00:24:15,240 --> 00:24:20,760 Speaker 1: bodies are different and their racks are definitely different. Um. 462 00:24:20,880 --> 00:24:23,000 Speaker 1: You know, I've got deer and pens of people would 463 00:24:23,000 --> 00:24:26,320 Speaker 1: say are are five years old, they're two years old, 464 00:24:27,520 --> 00:24:30,080 Speaker 1: and vice versa. You know, I've got older bucks that 465 00:24:30,160 --> 00:24:33,199 Speaker 1: look young. It's just, you know, it's kind of the 466 00:24:33,200 --> 00:24:35,880 Speaker 1: same way with people. I mean, there's people that are 467 00:24:35,880 --> 00:24:37,919 Speaker 1: fifty that look like they're thirty, and there's people that 468 00:24:37,960 --> 00:24:42,800 Speaker 1: are fifty look like they're eighty. So, uh, I think 469 00:24:44,280 --> 00:24:47,080 Speaker 1: I don't want to pick on Quality Deer Management Association, 470 00:24:47,200 --> 00:24:50,119 Speaker 1: but we've kind of done a disservice to deer on 471 00:24:50,240 --> 00:24:52,080 Speaker 1: hers thinking that we can judge a deer by a 472 00:24:52,119 --> 00:24:55,840 Speaker 1: picture or even you know, visually, because it's just about 473 00:24:55,880 --> 00:24:58,720 Speaker 1: impossible to age in that way. And if I ever 474 00:24:58,800 --> 00:25:01,560 Speaker 1: mentioned a buck's age and article or seminar or anything, 475 00:25:02,840 --> 00:25:05,480 Speaker 1: it's a buck that I've watched grow up. If I 476 00:25:05,520 --> 00:25:07,240 Speaker 1: start getting a picture of a buck on a trail 477 00:25:07,320 --> 00:25:09,240 Speaker 1: camera and I know he's a year later, I know 478 00:25:09,280 --> 00:25:11,120 Speaker 1: he's a two year old, and and then I can 479 00:25:11,160 --> 00:25:14,920 Speaker 1: go back and look at past you know, uh year's 480 00:25:14,960 --> 00:25:19,040 Speaker 1: photos of that same buck. You know, I'm pretty pretty 481 00:25:19,080 --> 00:25:23,320 Speaker 1: certain whenever I mentioned a buck's age. Um, But you know, 482 00:25:23,400 --> 00:25:27,120 Speaker 1: I think we've tried to to make ourselves a little 483 00:25:27,160 --> 00:25:31,520 Speaker 1: smarter than what we really are in that regards. Anyway, 484 00:25:31,600 --> 00:25:34,639 Speaker 1: it's definitely tricky. There's, like you said, there's so many 485 00:25:35,040 --> 00:25:38,720 Speaker 1: intricacies and anomalies where it'll be dear that just don't 486 00:25:38,760 --> 00:25:43,000 Speaker 1: fit the mold. So and with average deer, you know, 487 00:25:43,320 --> 00:25:45,520 Speaker 1: just like with people. You know, the average guys gonna 488 00:25:46,080 --> 00:25:48,240 Speaker 1: look a certain way when he graduates high school, and 489 00:25:48,960 --> 00:25:50,720 Speaker 1: you know, a certain way at thirty years old and 490 00:25:50,760 --> 00:25:53,320 Speaker 1: forty years old and on down the line. But there's 491 00:25:53,320 --> 00:25:58,320 Speaker 1: gonna be some individual variants within that as well. Yeah, yeah, 492 00:25:58,520 --> 00:26:01,760 Speaker 1: so true. So it sounds like it's just just based 493 00:26:01,760 --> 00:26:03,359 Speaker 1: on what we've been talking about already. It sounds like 494 00:26:03,400 --> 00:26:06,440 Speaker 1: you've got a lot of experience with trail cameras. Um, 495 00:26:06,480 --> 00:26:09,520 Speaker 1: But how long have you been running trail cameras and 496 00:26:09,800 --> 00:26:14,399 Speaker 1: how many do you usually run? I'm curious. Uh, I 497 00:26:14,440 --> 00:26:16,240 Speaker 1: can't remember when I got my first one. I know 498 00:26:17,840 --> 00:26:20,920 Speaker 1: in two thousand and four when I shot my big Buck, 499 00:26:21,800 --> 00:26:23,760 Speaker 1: I had one trail camera at that time, and I 500 00:26:23,840 --> 00:26:25,680 Speaker 1: tried my darn just to get a picture of him. 501 00:26:25,760 --> 00:26:29,920 Speaker 1: I never did. Um, But today I've got some of 502 00:26:29,960 --> 00:26:33,000 Speaker 1: them between fifteen and twenty of them. Um, I run, 503 00:26:33,040 --> 00:26:36,159 Speaker 1: I'm extensively on properties and I'm gonna hunt or have 504 00:26:36,240 --> 00:26:40,600 Speaker 1: permission to hunt, or very close to those properties. Um, 505 00:26:40,720 --> 00:26:43,439 Speaker 1: there's a couple of situations where I've got permission to 506 00:26:44,040 --> 00:26:46,480 Speaker 1: hang cameras where I don't have permission to hunt, but 507 00:26:46,520 --> 00:26:48,600 Speaker 1: I hunt nearby. So I just kind of try to 508 00:26:48,640 --> 00:26:55,200 Speaker 1: inventory the buck herd in the area. And i hunt 509 00:26:55,200 --> 00:26:58,920 Speaker 1: primarily in three different counties, So I've got those cameras 510 00:26:58,960 --> 00:27:03,600 Speaker 1: continually being rotated within those three counties and multiple properties. 511 00:27:04,600 --> 00:27:06,960 Speaker 1: Gives me a pretty good feel for the bucks that 512 00:27:07,040 --> 00:27:09,600 Speaker 1: I've I can select from that to go after in 513 00:27:09,600 --> 00:27:13,760 Speaker 1: the fall. Yeah, yeah, I imagine that's that's pretty unique. 514 00:27:13,800 --> 00:27:18,199 Speaker 1: I've I've never thought about asking permission to hang a 515 00:27:18,240 --> 00:27:20,760 Speaker 1: trail camera on a neighboring property that I don't have 516 00:27:20,800 --> 00:27:24,080 Speaker 1: permission to hunt. That's that's kind of put a spark 517 00:27:24,080 --> 00:27:27,960 Speaker 1: in my head. It's good. Yeah, I'm always looking for 518 00:27:28,000 --> 00:27:32,080 Speaker 1: an angle, you know. Well, I just kind of maturity 519 00:27:32,200 --> 00:27:34,560 Speaker 1: the hunter to the point where, you know, shooting a 520 00:27:34,640 --> 00:27:37,440 Speaker 1: hundred deer and doesn't really do it for me anymore. 521 00:27:37,800 --> 00:27:41,320 Speaker 1: And it used to be that. Just the other day, 522 00:27:41,359 --> 00:27:43,440 Speaker 1: I was counting up how many properties I've got access 523 00:27:43,480 --> 00:27:47,240 Speaker 1: to this fall, And I counted twelve properties that I've 524 00:27:47,280 --> 00:27:49,840 Speaker 1: got permission to be on this fall in those three counties. 525 00:27:50,680 --> 00:27:54,080 Speaker 1: But the truth of the matter is I will probably 526 00:27:54,080 --> 00:27:57,280 Speaker 1: spend time on only half of those properties. In other words, 527 00:27:57,320 --> 00:27:59,280 Speaker 1: half of the properties I've got permission to hunt. I 528 00:27:59,320 --> 00:28:03,080 Speaker 1: won't spend us single day hunting just because although I 529 00:28:03,080 --> 00:28:04,840 Speaker 1: will have a trail camera and every one of them 530 00:28:04,840 --> 00:28:10,040 Speaker 1: throughout the entire season, which I'll monitor. But you know, 531 00:28:10,080 --> 00:28:12,360 Speaker 1: if you want to shoot a hundred seventy inch bigger deer, 532 00:28:12,400 --> 00:28:14,640 Speaker 1: you've got to go where they are at. You can't 533 00:28:14,680 --> 00:28:16,840 Speaker 1: just go where you've got PERMISSI and hope one will 534 00:28:16,880 --> 00:28:22,200 Speaker 1: show up. And you have. The biggest revolution in deer 535 00:28:22,240 --> 00:28:25,560 Speaker 1: hunting since I started back in the nine seventies is 536 00:28:25,560 --> 00:28:29,639 Speaker 1: trail cameras. They just uh. It used to be the 537 00:28:29,680 --> 00:28:31,240 Speaker 1: only way you knew if a buck was there is 538 00:28:31,240 --> 00:28:35,280 Speaker 1: a personal sighting or find a ship antler. You really 539 00:28:35,280 --> 00:28:37,880 Speaker 1: couldn't take anybody else's word for it, because what's huge 540 00:28:37,880 --> 00:28:42,240 Speaker 1: to one guy is, you know, not much to another. 541 00:28:43,400 --> 00:28:47,280 Speaker 1: So these trail cameras have just allowed me to be 542 00:28:47,560 --> 00:28:51,720 Speaker 1: scouting properties twenty four hours a day, almost three hundred 543 00:28:51,760 --> 00:28:55,000 Speaker 1: sixty five days a year. I'll put my trail cameras 544 00:28:55,000 --> 00:28:57,680 Speaker 1: out about the first of July and then i'll pull 545 00:28:57,720 --> 00:29:00,440 Speaker 1: them once the bucks of shed antlers usually in March, 546 00:29:01,600 --> 00:29:03,840 Speaker 1: so I'm always just I'm looking for the next giant 547 00:29:03,880 --> 00:29:08,640 Speaker 1: buck to go after. And uh, if I got to 548 00:29:08,680 --> 00:29:10,880 Speaker 1: go to a spot that's close to where one of 549 00:29:10,880 --> 00:29:14,120 Speaker 1: my properties are, but where I know, I'll never get permission. 550 00:29:14,440 --> 00:29:16,680 Speaker 1: A lot of landowners will will give you permission to 551 00:29:16,720 --> 00:29:19,160 Speaker 1: hang a trail camera because they want to see what's 552 00:29:19,160 --> 00:29:21,840 Speaker 1: there too. Most of the time they'll say, yeah, would 553 00:29:21,840 --> 00:29:25,040 Speaker 1: you show me your pictures as you get them, or 554 00:29:25,320 --> 00:29:27,880 Speaker 1: email me the pictures or whatever. Stopped by and show me. 555 00:29:28,520 --> 00:29:33,320 Speaker 1: And I've done that a lot. But one thing exactly, 556 00:29:34,320 --> 00:29:37,480 Speaker 1: I made that mistake years ago. This is no joke. 557 00:29:37,920 --> 00:29:40,120 Speaker 1: Years ago. I got a giant buck on this little 558 00:29:40,120 --> 00:29:43,240 Speaker 1: property and got pictures, I mean excellent pictures of this 559 00:29:43,280 --> 00:29:46,160 Speaker 1: buck hitting the mock scrape that I made. And I 560 00:29:46,240 --> 00:29:48,280 Speaker 1: was telling the landowner about and his wife, and the 561 00:29:48,320 --> 00:29:50,920 Speaker 1: wife wanted to see the pictures. So I thought I'd 562 00:29:50,960 --> 00:29:52,640 Speaker 1: be nice and I went and had an eight by 563 00:29:52,640 --> 00:29:55,480 Speaker 1: ten blowed up and made for him, and the very 564 00:29:55,600 --> 00:29:58,760 Speaker 1: very next year, there was a tree standard. I told 565 00:29:58,840 --> 00:30:00,280 Speaker 1: him where I got the picture too, right in the 566 00:30:00,320 --> 00:30:03,240 Speaker 1: exact corner. The very next year, there was a tree 567 00:30:03,280 --> 00:30:06,720 Speaker 1: stand in that corner right where I told him somebody 568 00:30:06,760 --> 00:30:09,800 Speaker 1: else permission to hunt and that's some family member, you know, 569 00:30:09,840 --> 00:30:12,680 Speaker 1: and told him where I got the picture. I'll never 570 00:30:12,720 --> 00:30:18,320 Speaker 1: make that mistake again. So what's the biggest buck you've 571 00:30:18,320 --> 00:30:30,160 Speaker 1: ever got on trail camera? Don mm hmmm, Probably, Oh, 572 00:30:30,280 --> 00:30:34,600 Speaker 1: I don't know. There's a couple that we're probably the 573 00:30:34,600 --> 00:30:40,600 Speaker 1: one eighties nice big boys. Yeah, two of the biggest bucks. 574 00:30:40,880 --> 00:30:42,560 Speaker 1: The big buck I shot, I never got a picture 575 00:30:42,560 --> 00:30:45,320 Speaker 1: of him. And then the very following year there's another 576 00:30:45,360 --> 00:30:47,240 Speaker 1: big one in that same area that I was after, 577 00:30:48,160 --> 00:30:50,520 Speaker 1: and a friend of mine ended up shooting shooting the 578 00:30:50,520 --> 00:30:55,200 Speaker 1: buck during gun season and uh, I think he scored one, 579 00:30:55,360 --> 00:30:57,240 Speaker 1: and I did not get a picture of that one either. 580 00:30:58,320 --> 00:31:01,320 Speaker 1: Those the biggest of bucks there are tough to find, 581 00:31:01,360 --> 00:31:03,400 Speaker 1: whether it be during hunting season or in trail camera. 582 00:31:03,440 --> 00:31:06,600 Speaker 1: I guess, yeah, you gotta throw something different. I'm just 583 00:31:06,680 --> 00:31:10,120 Speaker 1: kind of like hunting them almost you know, the first 584 00:31:10,120 --> 00:31:12,680 Speaker 1: time in your stand is the best time to kill 585 00:31:12,720 --> 00:31:15,120 Speaker 1: a big buck, and it's almost that way with trail cameras. 586 00:31:15,160 --> 00:31:18,240 Speaker 1: You need to the first time you set it out. 587 00:31:18,280 --> 00:31:20,000 Speaker 1: You know, you can't be stomping back and forth, just 588 00:31:20,120 --> 00:31:22,680 Speaker 1: like you don't go hunt your stand, same stand every day. 589 00:31:23,200 --> 00:31:25,160 Speaker 1: You can't put a camera out and then stomped back 590 00:31:25,200 --> 00:31:28,440 Speaker 1: in three times a week to check it. I'll put 591 00:31:28,520 --> 00:31:31,600 Speaker 1: them up and in wait. At least the most. I 592 00:31:31,640 --> 00:31:35,360 Speaker 1: will check the cameras every two weeks. And there's there's 593 00:31:35,520 --> 00:31:37,800 Speaker 1: some properties that I won't even check them once a month. 594 00:31:39,480 --> 00:31:42,560 Speaker 1: Is that just during the hunting season or is that 595 00:31:42,720 --> 00:31:45,280 Speaker 1: during the summer or hunting season? How does that How 596 00:31:45,320 --> 00:31:49,680 Speaker 1: does your your intervals between checking change between those two 597 00:31:49,720 --> 00:31:54,280 Speaker 1: times a year. Well, during uh, this time in the year, 598 00:31:54,320 --> 00:31:55,840 Speaker 1: you know what, I'm trying to get bucks in Velvet, 599 00:31:56,240 --> 00:32:00,600 Speaker 1: it's about every two weeks um. Then I will shift 600 00:32:00,640 --> 00:32:05,440 Speaker 1: those cameras basically from soydbean fields back into the woods. 601 00:32:06,360 --> 00:32:09,360 Speaker 1: About the time bucks are shed in Velvet, I'll check 602 00:32:09,400 --> 00:32:13,480 Speaker 1: those cameras and that's about the first September. And I'll 603 00:32:13,520 --> 00:32:17,520 Speaker 1: check cameras around the first October. I had to see, 604 00:32:17,640 --> 00:32:19,560 Speaker 1: you know, how the bucks have shifted their range, what 605 00:32:19,560 --> 00:32:21,400 Speaker 1: what bucks might have moved on to the property, and 606 00:32:22,040 --> 00:32:26,480 Speaker 1: also which ones have moved off. Uh, and then uh, 607 00:32:26,640 --> 00:32:28,760 Speaker 1: A lot of those those cameras when I check them 608 00:32:28,760 --> 00:32:31,200 Speaker 1: in the first October, I don't check them again until 609 00:32:31,440 --> 00:32:34,440 Speaker 1: you know, around the end of October one and November, 610 00:32:36,000 --> 00:32:39,320 Speaker 1: the bucks start and running looking for those things, mostly 611 00:32:39,360 --> 00:32:42,560 Speaker 1: at night. But most of the pictures of big bucks 612 00:32:42,600 --> 00:32:47,600 Speaker 1: are taking at night. So um. But what's really interesting 613 00:32:47,720 --> 00:32:51,120 Speaker 1: is that the information that I gather from these different bucks, 614 00:32:51,240 --> 00:32:53,640 Speaker 1: most of the time, it's not utilized to kill a 615 00:32:53,680 --> 00:32:57,040 Speaker 1: buck until at least a year down the road, if 616 00:32:57,040 --> 00:32:59,760 Speaker 1: not more. Yeah, that was something I was going to 617 00:33:00,200 --> 00:33:04,240 Speaker 1: I was gonna be I was gonna ask you about. Um. So, 618 00:33:05,160 --> 00:33:07,520 Speaker 1: so I guess let's let's jump to that since we're 619 00:33:07,560 --> 00:33:10,400 Speaker 1: Since we're on that right now, tell us about what 620 00:33:10,480 --> 00:33:13,280 Speaker 1: you I guess two things. Number one, what are you 621 00:33:13,800 --> 00:33:16,200 Speaker 1: learning from deer or from trail camera pictures right now 622 00:33:16,240 --> 00:33:18,000 Speaker 1: in the summer? So what are the main things the 623 00:33:18,040 --> 00:33:21,560 Speaker 1: goals you've had for your summer trailcra pictures? And then next, 624 00:33:22,360 --> 00:33:25,120 Speaker 1: what are your main goals than for the pictures you're 625 00:33:25,120 --> 00:33:27,120 Speaker 1: taking during hunting season? And you kind of alluded to 626 00:33:27,120 --> 00:33:31,240 Speaker 1: it there, but I'd like to hear more about both. Okay, well, 627 00:33:31,280 --> 00:33:34,800 Speaker 1: this time of the year. I'm basically looking for bucks 628 00:33:34,800 --> 00:33:38,840 Speaker 1: that that I was watching a year before, see which 629 00:33:38,840 --> 00:33:41,840 Speaker 1: one survived and what kind of growth they put on 630 00:33:41,920 --> 00:33:46,480 Speaker 1: from last year's rack. Basically trying to find that one 631 00:33:46,680 --> 00:33:50,160 Speaker 1: giant buck to go after for this season. And then 632 00:33:50,160 --> 00:33:52,600 Speaker 1: once I do, you know, then the trail cameras come 633 00:33:52,640 --> 00:33:56,400 Speaker 1: out in fource around you know, within a mile radius 634 00:33:56,640 --> 00:34:01,920 Speaker 1: of where he's at, where you know, finding But if 635 00:34:01,920 --> 00:34:05,200 Speaker 1: there's one thing that anyone picks up from this whole interview, 636 00:34:05,400 --> 00:34:07,600 Speaker 1: this is it, then I hope they really pay attention 637 00:34:08,760 --> 00:34:13,520 Speaker 1: a buck hasn't. We talked about patterning bucks, and I 638 00:34:13,560 --> 00:34:16,120 Speaker 1: think most people get the wrong idea. They think that, well, 639 00:34:16,200 --> 00:34:18,319 Speaker 1: I see this buck coming to this bean field, you know, 640 00:34:19,200 --> 00:34:22,080 Speaker 1: every evening and at three, at five o'clock or whatever, 641 00:34:22,640 --> 00:34:26,480 Speaker 1: and so that's the pattern that they're trying to or 642 00:34:26,600 --> 00:34:30,600 Speaker 1: that's what they think when they think of patterning a bush. 643 00:34:31,000 --> 00:34:36,000 Speaker 1: But the one pattern that is consistent that I've seen 644 00:34:36,040 --> 00:34:40,040 Speaker 1: over the years is a buck's annual pattern. If a 645 00:34:40,080 --> 00:34:45,200 Speaker 1: buck shows up on your property, say at you know, 646 00:34:45,200 --> 00:34:48,640 Speaker 1: I don't know, say September, you can almost mark on 647 00:34:48,719 --> 00:34:51,279 Speaker 1: your calendar that same buck is going to show up 648 00:34:51,280 --> 00:34:55,240 Speaker 1: on your property in September every year that he's alive 649 00:34:56,480 --> 00:34:58,480 Speaker 1: and the buck I was, the six year old buck 650 00:34:58,520 --> 00:35:02,600 Speaker 1: I was talking to you about earlier, that that that's 651 00:35:02,640 --> 00:35:05,080 Speaker 1: still alive here that may or may not go after. 652 00:35:05,880 --> 00:35:08,360 Speaker 1: You know, he has just kind of reinforced that because 653 00:35:08,880 --> 00:35:11,160 Speaker 1: where I get his pictures in Velvet in the summer 654 00:35:11,640 --> 00:35:14,600 Speaker 1: is not where I get his pictures in November. But 655 00:35:14,719 --> 00:35:18,000 Speaker 1: I can go back to my files. I use Reconnix Cameras, 656 00:35:18,239 --> 00:35:22,240 Speaker 1: which has some great software where I love the better 657 00:35:22,280 --> 00:35:27,480 Speaker 1: photos by location where they came from and when I 658 00:35:27,480 --> 00:35:29,640 Speaker 1: when I see it buck, I can go back and 659 00:35:29,680 --> 00:35:32,800 Speaker 1: look at the previous year's photos from that very same location, 660 00:35:33,239 --> 00:35:35,880 Speaker 1: and I guarantee you that buck's there, if he's if 661 00:35:35,920 --> 00:35:40,920 Speaker 1: he's an older deer, and you know, it kind of 662 00:35:41,000 --> 00:35:43,920 Speaker 1: hit me well. In two thousand three, I wrote an 663 00:35:44,040 --> 00:35:47,440 Speaker 1: article for North American Whitetail titled Same Time, Same Place, 664 00:35:48,440 --> 00:35:50,799 Speaker 1: And that's when I started hitting on the s and 665 00:35:50,840 --> 00:35:54,600 Speaker 1: it's just kind of reinforces itself. Every year, if I 666 00:35:54,640 --> 00:35:57,120 Speaker 1: see a mature buck or even a bucket I may 667 00:35:57,160 --> 00:35:59,920 Speaker 1: want to go after in the future during hunting season, 668 00:36:01,239 --> 00:36:06,160 Speaker 1: I remember exactly that the time and the place because 669 00:36:06,200 --> 00:36:07,959 Speaker 1: he is going to be back at that same time, 670 00:36:08,040 --> 00:36:11,359 Speaker 1: same place next year. And like I said, if there's 671 00:36:11,600 --> 00:36:13,800 Speaker 1: one thing that you pick up from this whole interview, 672 00:36:13,880 --> 00:36:16,360 Speaker 1: this is it. If you see a mature buck in 673 00:36:16,360 --> 00:36:19,000 Speaker 1: in a certain place at a certain time, marking on 674 00:36:19,040 --> 00:36:21,560 Speaker 1: your calendar, because next year he's gonna be there, and 675 00:36:21,560 --> 00:36:23,080 Speaker 1: if you want to kill him, you be there first, 676 00:36:23,120 --> 00:36:26,520 Speaker 1: be waiting on him, have your stands ready, set um, 677 00:36:27,040 --> 00:36:29,120 Speaker 1: don't wait till till that time to move in and 678 00:36:29,160 --> 00:36:31,840 Speaker 1: make your move. Be set up ahead of time, knowing 679 00:36:31,880 --> 00:36:35,560 Speaker 1: that he's going to be there. This buck, the six 680 00:36:35,680 --> 00:36:38,480 Speaker 1: by six that I was just talking about, that the 681 00:36:38,520 --> 00:36:43,520 Speaker 1: six year old the last too, well actually since since 682 00:36:43,520 --> 00:36:45,719 Speaker 1: I've been watching him, but since he's been mature, is 683 00:36:45,719 --> 00:36:47,040 Speaker 1: a four year old and a five year old. The 684 00:36:47,080 --> 00:36:50,440 Speaker 1: last two seasons, he showed up in that draw behind 685 00:36:50,480 --> 00:36:55,360 Speaker 1: the barn um around the sixth of the seventh of 686 00:36:55,400 --> 00:37:00,160 Speaker 1: November each year, and I get his photos of up 687 00:37:00,160 --> 00:37:04,360 Speaker 1: and on from then until about and then he's gone. 688 00:37:04,400 --> 00:37:07,200 Speaker 1: He's only there during that period, and I know he's 689 00:37:07,200 --> 00:37:10,480 Speaker 1: only there because of them does that are there. But anyway, 690 00:37:10,520 --> 00:37:12,359 Speaker 1: I know that if I'm going to kill that buck 691 00:37:12,640 --> 00:37:16,840 Speaker 1: on that property between the about the fifth to the November. 692 00:37:16,960 --> 00:37:18,960 Speaker 1: I need to spend as much time as I can 693 00:37:19,000 --> 00:37:20,680 Speaker 1: in that draw because he is going to be there, 694 00:37:22,200 --> 00:37:24,040 Speaker 1: and you just got to have faith in that pattern. 695 00:37:24,040 --> 00:37:27,080 Speaker 1: If there's ever a pattern that holds true with white 696 00:37:27,080 --> 00:37:30,080 Speaker 1: tail bucks, that's it. It's an annual pattern rather than 697 00:37:30,680 --> 00:37:33,440 Speaker 1: you know, the pattern that comes to mind when we 698 00:37:33,440 --> 00:37:36,719 Speaker 1: talk about patterning bucks. So how tight do you think 699 00:37:36,760 --> 00:37:39,440 Speaker 1: that these bucks hold to that pattern? I mean, do 700 00:37:39,480 --> 00:37:41,040 Speaker 1: you ever look? Do you do you ever get a 701 00:37:41,080 --> 00:37:43,959 Speaker 1: daylight picture of a buck on the sixth and then 702 00:37:44,760 --> 00:37:46,520 Speaker 1: you know, go back in the next year on the 703 00:37:46,560 --> 00:37:48,879 Speaker 1: sixth at the same time with an expectation that there's 704 00:37:48,880 --> 00:37:50,480 Speaker 1: a good chance he'll be there on that date. Or 705 00:37:50,520 --> 00:37:51,960 Speaker 1: is it more like, you know, within a couple of 706 00:37:52,000 --> 00:37:55,160 Speaker 1: weeks of this period, It's not a couple of weeks, 707 00:37:55,160 --> 00:37:57,960 Speaker 1: it's a couple of days. I may not get his 708 00:37:58,040 --> 00:38:00,120 Speaker 1: picture on the sixth, but I bet I get it 709 00:38:00,200 --> 00:38:03,719 Speaker 1: on the fifth of the seventh. And you know, the 710 00:38:03,760 --> 00:38:07,359 Speaker 1: older these bucks get, the more they stick to It's 711 00:38:07,360 --> 00:38:10,200 Speaker 1: like they've they've developed a year round routine. They spend 712 00:38:10,239 --> 00:38:15,120 Speaker 1: their summers at a certain location. When they disperse or move, 713 00:38:15,200 --> 00:38:18,000 Speaker 1: some of them don't actually don't disperse or move at all. 714 00:38:18,080 --> 00:38:20,240 Speaker 1: When they shave the developed they'll stay right there close. 715 00:38:20,640 --> 00:38:22,440 Speaker 1: They spend almost the entire year in a in a 716 00:38:22,480 --> 00:38:25,680 Speaker 1: small area. But those bucks that shift their range throughout 717 00:38:25,719 --> 00:38:28,279 Speaker 1: the season, they're making that same shift and they're on 718 00:38:28,360 --> 00:38:30,359 Speaker 1: what they're making it during the same week each year, 719 00:38:31,000 --> 00:38:33,759 Speaker 1: whether you know it be the last week August, first 720 00:38:33,760 --> 00:38:36,240 Speaker 1: week of September, maybe they wait till October to shift. 721 00:38:37,440 --> 00:38:41,920 Speaker 1: Whenever it is, they're gonna follow that pattern. So you know, 722 00:38:41,960 --> 00:38:44,360 Speaker 1: if you've got old trail camera photos to go through 723 00:38:45,480 --> 00:38:48,000 Speaker 1: and there's a buck the here after that you think 724 00:38:48,080 --> 00:38:50,080 Speaker 1: still alive, just just look where he was that last 725 00:38:50,160 --> 00:38:54,480 Speaker 1: year and use those old trail camera photos too to 726 00:38:55,360 --> 00:38:57,319 Speaker 1: tell you where to be this year. Do you ever 727 00:38:57,400 --> 00:39:01,799 Speaker 1: look back on those on those trail camera pictures and 728 00:39:01,840 --> 00:39:05,640 Speaker 1: then do research on the weather pattern? So maybe there 729 00:39:05,640 --> 00:39:09,000 Speaker 1: was a consistent weather pattern for the past year, previous 730 00:39:09,120 --> 00:39:13,239 Speaker 1: years that was making this buck b at that location 731 00:39:13,280 --> 00:39:16,480 Speaker 1: at that time or like because recently on the podcast, 732 00:39:16,480 --> 00:39:19,360 Speaker 1: we've been talking a lot about what dear, What is 733 00:39:19,400 --> 00:39:23,759 Speaker 1: making dear move like like wind direction, weather pressure, high 734 00:39:23,800 --> 00:39:27,480 Speaker 1: pressure systems, precipitation, and so on. Are you seeing anything 735 00:39:27,600 --> 00:39:34,560 Speaker 1: consistent there. You know, I've never really uh tried to 736 00:39:34,600 --> 00:39:38,319 Speaker 1: correlate the weather with the trail camera photos. But I 737 00:39:38,400 --> 00:39:41,920 Speaker 1: gotta say I listened to the podcast you guys did 738 00:39:41,960 --> 00:39:45,160 Speaker 1: with Mark drewy or recently, and that's one of the 739 00:39:45,160 --> 00:39:48,400 Speaker 1: best ones I've ever heard. That was just excellent, And 740 00:39:48,440 --> 00:39:50,800 Speaker 1: a couple of things he said that really caught my attention. 741 00:39:50,840 --> 00:39:54,839 Speaker 1: One was he talked about bucks moving on sunny days. Well, 742 00:39:54,920 --> 00:39:58,680 Speaker 1: I've always been told, you know, that the overcast days 743 00:39:58,680 --> 00:40:02,600 Speaker 1: are better hunting, But I noticed myself years ago those 744 00:40:02,600 --> 00:40:04,680 Speaker 1: sunny days seem to get the bucks on their feet. 745 00:40:06,200 --> 00:40:14,240 Speaker 1: Excuse me, but you know, Mark brought that up about 746 00:40:14,239 --> 00:40:17,759 Speaker 1: the sunny days. The big buck, the two fourteen buck 747 00:40:17,800 --> 00:40:21,759 Speaker 1: I shot. I saw that buck four times, three of 748 00:40:21,760 --> 00:40:25,000 Speaker 1: those times one bright sunny days. There was only one 749 00:40:25,080 --> 00:40:27,520 Speaker 1: day where it was overcast. I saw that buck. But 750 00:40:27,520 --> 00:40:29,920 Speaker 1: but whether it's the biggest pack or what biggest factor, 751 00:40:30,760 --> 00:40:34,759 Speaker 1: you know, as far as buck movement, there's definitely a 752 00:40:34,760 --> 00:40:37,759 Speaker 1: lot to dig into. If you you know, you know, 753 00:40:37,840 --> 00:40:40,640 Speaker 1: it's easy to dig into those things. And one of 754 00:40:40,640 --> 00:40:42,000 Speaker 1: the things that me and Dan talked about is the 755 00:40:42,000 --> 00:40:47,040 Speaker 1: fact that there's so many fascinating correlations potentially between weather, moon, pressure, 756 00:40:47,040 --> 00:40:49,799 Speaker 1: et cetera, like we talked about with with Marjuri. At 757 00:40:49,800 --> 00:40:52,920 Speaker 1: the same time, it also can get a little overwhelming 758 00:40:53,000 --> 00:40:54,839 Speaker 1: if you try to look at all those things and 759 00:40:54,880 --> 00:40:57,600 Speaker 1: then you know, start over analyzing. It seems it's kind 760 00:40:57,600 --> 00:40:59,359 Speaker 1: of a fine line you have to walk between taking 761 00:40:59,360 --> 00:41:02,520 Speaker 1: those into a versus you know, just getting overwhelmed and 762 00:41:02,680 --> 00:41:07,080 Speaker 1: you know, getting paralysis by analysis. I guess, Yeah. And 763 00:41:07,080 --> 00:41:11,400 Speaker 1: then another thing that I noted with Mark's interview was 764 00:41:11,440 --> 00:41:14,520 Speaker 1: that he said that, you know, at a certain point 765 00:41:14,520 --> 00:41:18,520 Speaker 1: in late late October, he starts hunting every day and 766 00:41:18,600 --> 00:41:21,440 Speaker 1: he does through November, so it really doesn't matter what 767 00:41:21,480 --> 00:41:23,240 Speaker 1: the weather pattern is, he's gonna be in the woods. 768 00:41:23,239 --> 00:41:26,960 Speaker 1: And I'm the same way. It's just that, you know, 769 00:41:27,040 --> 00:41:29,160 Speaker 1: for the guy that doesn't that can't go every day, 770 00:41:29,160 --> 00:41:32,120 Speaker 1: like we can try to pinpoint it down when your 771 00:41:32,120 --> 00:41:35,640 Speaker 1: best time to be there is. Yeah, And I think 772 00:41:36,160 --> 00:41:38,040 Speaker 1: also one of the things that I looked at too, 773 00:41:38,080 --> 00:41:40,719 Speaker 1: is you know when those when those ideal conditions are 774 00:41:41,120 --> 00:41:43,200 Speaker 1: maybe that's when you push into one of your better 775 00:41:43,239 --> 00:41:46,680 Speaker 1: stam locations versus one of your maybe slightly you know, 776 00:41:46,760 --> 00:41:48,919 Speaker 1: less optimal ones. Is one way I thought I could 777 00:41:48,960 --> 00:41:53,200 Speaker 1: use that, Yeah, definitely all right. Now, before we move 778 00:41:53,239 --> 00:41:55,200 Speaker 1: on to our next question for done, we need to 779 00:41:55,200 --> 00:41:57,840 Speaker 1: take one more brief break from the action for a 780 00:41:57,840 --> 00:42:00,640 Speaker 1: word from our sponsor of this podcast up, so, the 781 00:42:00,680 --> 00:42:04,399 Speaker 1: white Tail Institute of North America. Now, I started using 782 00:42:04,400 --> 00:42:07,520 Speaker 1: white Tail Institute food plot seas just over five years 783 00:42:07,560 --> 00:42:10,200 Speaker 1: ago when I first started planning food plots in What 784 00:42:10,360 --> 00:42:12,680 Speaker 1: really struck me as impressive about these guys was that 785 00:42:12,960 --> 00:42:15,120 Speaker 1: if I ever had a question, and I had many 786 00:42:15,360 --> 00:42:18,160 Speaker 1: about food plots, anything really at all, I could call 787 00:42:18,239 --> 00:42:20,719 Speaker 1: white Tail Institute up on the phone and instantly be 788 00:42:20,760 --> 00:42:22,719 Speaker 1: on the line with someone who could help me. And 789 00:42:23,040 --> 00:42:25,759 Speaker 1: that's actually still the case now. So recently I gave 790 00:42:25,760 --> 00:42:28,040 Speaker 1: white Tail Institute a call and got on the line 791 00:42:28,080 --> 00:42:30,920 Speaker 1: with the vice president of the company, Steve Scott, and 792 00:42:30,960 --> 00:42:34,400 Speaker 1: I asked him this, Steve, if you had just a 793 00:42:34,400 --> 00:42:36,200 Speaker 1: two acre patch of ground that you could plant a 794 00:42:36,200 --> 00:42:39,080 Speaker 1: food plot on, and you can only choose one single 795 00:42:39,160 --> 00:42:41,080 Speaker 1: food plot variety for the rest of your life to 796 00:42:41,160 --> 00:42:47,160 Speaker 1: plant there, what would it be? That's not fair? That's uh, 797 00:42:48,160 --> 00:42:50,640 Speaker 1: I would you know? I guess I'm I'm going I'm 798 00:42:50,680 --> 00:42:56,960 Speaker 1: going to all the round that I'm gonna cheat, I'm 799 00:42:56,960 --> 00:42:59,040 Speaker 1: gonna tell you I'm only going to use one product, 800 00:42:59,040 --> 00:43:01,080 Speaker 1: but I'm actually going to use too and if if 801 00:43:01,120 --> 00:43:04,240 Speaker 1: it's only two acres, half of it would be Imperial 802 00:43:04,280 --> 00:43:06,520 Speaker 1: white tailed clover, which is, you know, no doubt the 803 00:43:06,520 --> 00:43:10,000 Speaker 1: gold standard for food blots. Uh. And the reason being 804 00:43:10,160 --> 00:43:13,719 Speaker 1: is it's extremely high protein, which is crucial for you know, 805 00:43:13,760 --> 00:43:17,680 Speaker 1: ancler development, you know, uh uh phone development, you know, 806 00:43:17,760 --> 00:43:20,440 Speaker 1: do lactation. But also the dear love it. So it's 807 00:43:20,480 --> 00:43:22,680 Speaker 1: great to hunt over. But I'm gonna do that in 808 00:43:22,719 --> 00:43:24,919 Speaker 1: one acre, and in the other acre, I'm gonna plant 809 00:43:24,960 --> 00:43:29,120 Speaker 1: one of our fallowing winter annuals uh, simply for variety 810 00:43:29,760 --> 00:43:33,040 Speaker 1: and also you know, you know, especially something like our 811 00:43:33,040 --> 00:43:36,400 Speaker 1: winter greens product because when you know, we don't have 812 00:43:36,440 --> 00:43:38,439 Speaker 1: a lot of snow down here, but when it gets really, 813 00:43:38,440 --> 00:43:40,840 Speaker 1: really really cold, you know that they're just hammer the 814 00:43:40,840 --> 00:43:45,240 Speaker 1: winter green. So I know I didn't answer your question fairly. Uh, 815 00:43:45,320 --> 00:43:47,400 Speaker 1: but but it's hard to say, you know, just just 816 00:43:47,480 --> 00:43:50,960 Speaker 1: one particular product. But uh uh you know, I think 817 00:43:51,000 --> 00:43:54,160 Speaker 1: most people that are you know, very familiar with it. 818 00:43:54,239 --> 00:43:56,839 Speaker 1: You know, the the Imperial white tail clover. Uh. If 819 00:43:56,840 --> 00:43:59,799 Speaker 1: a guy has good soul that holds moisture, Imperial white 820 00:43:59,800 --> 00:44:02,720 Speaker 1: took low. We can't be beat. Well, you did cheat, 821 00:44:02,760 --> 00:44:05,280 Speaker 1: but it was a good answer, so I'll let it slide. Steve. 822 00:44:06,440 --> 00:44:09,440 Speaker 1: I appreciate it. I appreciate it. I started to split 823 00:44:09,480 --> 00:44:11,360 Speaker 1: the field up at about for different things, but I 824 00:44:11,400 --> 00:44:14,480 Speaker 1: thought I wouldn't go there. All right, Well, if you 825 00:44:14,520 --> 00:44:16,680 Speaker 1: want to learn more about what white Tail Ins two 826 00:44:16,680 --> 00:44:18,400 Speaker 1: has to offer, or if you want to find their 827 00:44:18,480 --> 00:44:20,759 Speaker 1: number and give them a call yourself, visit white Tail 828 00:44:20,840 --> 00:44:25,360 Speaker 1: Institute dot com. And now let's get back to trial cameras. 829 00:44:26,200 --> 00:44:29,880 Speaker 1: So we talked a little bit about here, you know, 830 00:44:30,040 --> 00:44:31,840 Speaker 1: the goals for the cameras, the fact that during the 831 00:44:31,880 --> 00:44:35,319 Speaker 1: hunting season you're looking more so at patterns that can 832 00:44:35,320 --> 00:44:38,560 Speaker 1: be applied to the future year. Um. Taking a step back, 833 00:44:38,800 --> 00:44:41,200 Speaker 1: can we talk about placement a little bit of our cameras. 834 00:44:41,239 --> 00:44:43,520 Speaker 1: So during the summer you mentioned you're putting them on 835 00:44:43,560 --> 00:44:46,160 Speaker 1: bean fields, um or things like that. Can you elaborate 836 00:44:46,200 --> 00:44:49,480 Speaker 1: a little bit more on you know, specifically what you 837 00:44:49,520 --> 00:44:51,360 Speaker 1: know how you're trying to find the right spot in 838 00:44:51,360 --> 00:44:53,680 Speaker 1: the summer and then once you go into the hunting season. 839 00:44:53,719 --> 00:44:56,279 Speaker 1: I know you mentioned pushing into the woods, but can 840 00:44:56,320 --> 00:44:58,839 Speaker 1: you give us more detail you know, specifically how you're 841 00:44:58,840 --> 00:45:04,759 Speaker 1: picking these places, Why you're picking these places on the 842 00:45:04,800 --> 00:45:09,839 Speaker 1: bean fields. Basically, I've just I found the places where 843 00:45:09,840 --> 00:45:12,359 Speaker 1: the bucks like to spend the summers, and the cross 844 00:45:12,520 --> 00:45:16,839 Speaker 1: rotation will shift each year, but there there's usually a 845 00:45:16,880 --> 00:45:24,399 Speaker 1: specific location where bucks like this summer and when there's 846 00:45:24,440 --> 00:45:26,160 Speaker 1: a bean field, they're they're always gonna be hitting the 847 00:45:26,200 --> 00:45:32,400 Speaker 1: bean fields. Um generally, I just their experience. I figure 848 00:45:32,440 --> 00:45:34,120 Speaker 1: out which corner or where they're going to enter that 849 00:45:34,160 --> 00:45:37,560 Speaker 1: bean field at. And it's been trial and air more 850 00:45:37,560 --> 00:45:40,920 Speaker 1: than anything. I just because in Illinois, you know, we 851 00:45:40,960 --> 00:45:43,879 Speaker 1: can't bait or anything. You can't have minerals legs out. 852 00:45:43,960 --> 00:45:46,520 Speaker 1: So I try to catch those bucks where they're gonna 853 00:45:46,600 --> 00:45:52,120 Speaker 1: enter those bean fields. And through trial on air, I've 854 00:45:52,120 --> 00:45:55,400 Speaker 1: located some spots where I can I know where to 855 00:45:55,440 --> 00:45:58,520 Speaker 1: put just you know, get a picture of every bucket's 856 00:45:58,600 --> 00:46:03,279 Speaker 1: using that location as a season opens up. One of 857 00:46:03,320 --> 00:46:06,600 Speaker 1: my favorite tricks is, uh, I hang a piece of 858 00:46:06,680 --> 00:46:12,560 Speaker 1: rope from a tree, um like a one ent nylon rope, 859 00:46:13,680 --> 00:46:16,040 Speaker 1: and I'll go in. I'll do it in the summertime, 860 00:46:16,080 --> 00:46:18,480 Speaker 1: hanging from that tree, and then I'll spray with I'll 861 00:46:18,520 --> 00:46:21,000 Speaker 1: just take a little hand sprayer with some round up 862 00:46:21,040 --> 00:46:23,239 Speaker 1: in it, and I'll spread the vegetation under it. And 863 00:46:23,280 --> 00:46:25,120 Speaker 1: you know how bucks like to rub their face on 864 00:46:25,280 --> 00:46:28,319 Speaker 1: grape vines and things like that, Well they'll do the 865 00:46:28,360 --> 00:46:32,160 Speaker 1: same thing with a piece of rope. And uh, you 866 00:46:32,200 --> 00:46:34,640 Speaker 1: put a little bit of buckler on on that rope, 867 00:46:35,320 --> 00:46:37,120 Speaker 1: trail camera on it. You can get a picture of 868 00:46:37,160 --> 00:46:40,640 Speaker 1: every buckets in the area. And I'll actually send you 869 00:46:40,719 --> 00:46:42,840 Speaker 1: a couple. I'll email you a couple of those trail 870 00:46:42,880 --> 00:46:44,680 Speaker 1: camera pictures with the rope hanging there and the buck 871 00:46:44,760 --> 00:46:48,000 Speaker 1: rubbing their face on it for your website to add 872 00:46:48,000 --> 00:46:50,320 Speaker 1: with this podcast to show people what I'm talking about. 873 00:46:51,040 --> 00:46:56,839 Speaker 1: But you know, with Illinois and some of the regulations 874 00:46:56,880 --> 00:46:58,799 Speaker 1: we got where I live, well you've got to kind 875 00:46:58,800 --> 00:47:02,560 Speaker 1: of be invent of of ways to get pictures. You're 876 00:47:02,560 --> 00:47:04,520 Speaker 1: not allowed to bait at any time during the year, 877 00:47:05,040 --> 00:47:08,879 Speaker 1: not allowed to use salt or anything like that. So 878 00:47:09,239 --> 00:47:13,200 Speaker 1: I've turned the sense more than anything, uh, to get 879 00:47:13,200 --> 00:47:15,280 Speaker 1: those bucks in front of the camera. And then also 880 00:47:15,320 --> 00:47:17,200 Speaker 1: funnel areas. But a lot of times the funnel areas 881 00:47:17,239 --> 00:47:19,560 Speaker 1: are where I want my tree stand and I don't 882 00:47:19,600 --> 00:47:22,880 Speaker 1: want the trail cameras where my tree stand is gonna be. Yeah, 883 00:47:23,440 --> 00:47:26,040 Speaker 1: So do you do you believe then that those those cameras, 884 00:47:26,440 --> 00:47:28,480 Speaker 1: if you were to put a camera by your stand location, 885 00:47:28,800 --> 00:47:32,359 Speaker 1: you're worried about the risk of that camera spooking deer, right, 886 00:47:32,560 --> 00:47:35,640 Speaker 1: And it goes back to individual deer. Some deer they're 887 00:47:35,640 --> 00:47:37,160 Speaker 1: gonna bother at all. They'll stay on there in front 888 00:47:37,160 --> 00:47:39,719 Speaker 1: of the camera and just look at it, and you know, 889 00:47:39,760 --> 00:47:42,719 Speaker 1: take three dozen pictures, and the other deer you get 890 00:47:42,719 --> 00:47:44,400 Speaker 1: one picture and you're never seeing him in front of 891 00:47:44,400 --> 00:47:50,200 Speaker 1: that camera again ever at that location. So the individual 892 00:47:50,200 --> 00:47:51,560 Speaker 1: deer are different. I just don't want to take a 893 00:47:51,640 --> 00:47:53,840 Speaker 1: chance on the one arm after being the bucket spooks 894 00:47:53,840 --> 00:47:57,120 Speaker 1: want to see seeing that camera one time? Yeah. Do 895 00:47:57,160 --> 00:48:01,279 Speaker 1: you do anything to try to minimize the potential spooking deer? Um? 896 00:48:01,320 --> 00:48:03,440 Speaker 1: You know, I've heard some people talk about putting their 897 00:48:03,480 --> 00:48:07,000 Speaker 1: camera and a certain height or doing different things to 898 00:48:07,160 --> 00:48:09,040 Speaker 1: hide the camera. Do you do anything at all like that? 899 00:48:11,440 --> 00:48:13,400 Speaker 1: More than anything, what I do is I try to 900 00:48:13,440 --> 00:48:15,879 Speaker 1: time when I visit the camera at which was right 901 00:48:15,880 --> 00:48:17,920 Speaker 1: before rain if I see you know we're supposed to 902 00:48:17,920 --> 00:48:20,520 Speaker 1: it's supposed to rain tonight. Well, today I'm out checking 903 00:48:20,520 --> 00:48:22,800 Speaker 1: off my cameras hoping that it does rain and horses 904 00:48:22,840 --> 00:48:26,000 Speaker 1: on my sin away. I also tried to visit those 905 00:48:26,040 --> 00:48:29,319 Speaker 1: cameras in midday rather than you know, early morning, late 906 00:48:29,360 --> 00:48:34,960 Speaker 1: evening when the deer are going to be active. Um, 907 00:48:35,040 --> 00:48:37,759 Speaker 1: and I have from you know, especially at fence crossings 908 00:48:37,800 --> 00:48:39,760 Speaker 1: and things like that. I put them a little higher 909 00:48:39,760 --> 00:48:44,279 Speaker 1: in the tree, aiming downward. Uh, But you know, I'm 910 00:48:44,320 --> 00:48:46,600 Speaker 1: more interested in making sure I get the bucks picture. 911 00:48:46,960 --> 00:48:50,600 Speaker 1: And if I spook him, it's not gonna be a 912 00:48:50,719 --> 00:48:54,440 Speaker 1: location real close to a tree stand. So I don't 913 00:48:54,480 --> 00:48:57,160 Speaker 1: think you're gonna get them to totally leave a property 914 00:48:57,239 --> 00:49:01,120 Speaker 1: because trail camera flashed in his face once, But he 915 00:49:01,239 --> 00:49:05,480 Speaker 1: might avoid that spot, that's for sure. Yeah. Do you 916 00:49:05,640 --> 00:49:09,080 Speaker 1: use Do you have a preference between flash cameras versus 917 00:49:09,520 --> 00:49:13,840 Speaker 1: infrared and how you think those deer affected or I 918 00:49:13,960 --> 00:49:18,680 Speaker 1: definitely liked the infrared. I just don't see the deer 919 00:49:18,719 --> 00:49:20,440 Speaker 1: spook in the way I used to. And you know, 920 00:49:20,480 --> 00:49:23,120 Speaker 1: in years past, I've used about every branded trail camera 921 00:49:23,200 --> 00:49:27,160 Speaker 1: out there, and the flash cameras definitely spooked more deer. 922 00:49:28,680 --> 00:49:31,319 Speaker 1: But again, some didn't mind at all, others did, But 923 00:49:31,400 --> 00:49:33,279 Speaker 1: I think there's a higher percentage of them that did. 924 00:49:34,480 --> 00:49:38,120 Speaker 1: We had a guest on earlier this summer who talked 925 00:49:38,120 --> 00:49:41,040 Speaker 1: about the fact that he had seen the greatest amount 926 00:49:41,239 --> 00:49:44,759 Speaker 1: of deer being spooked by cameras being when a trail 927 00:49:44,840 --> 00:49:47,840 Speaker 1: camera was right on a scrape like the tree that 928 00:49:48,000 --> 00:49:50,040 Speaker 1: the deer is, you know, using the licking branch on. 929 00:49:50,600 --> 00:49:53,080 Speaker 1: Have you noticed anything like that that a lot of 930 00:49:53,360 --> 00:49:55,960 Speaker 1: the deer react differently when the cameras on scrape or 931 00:49:55,960 --> 00:49:58,480 Speaker 1: maybe in your case, you know that mock scrape set up? 932 00:50:00,200 --> 00:50:04,480 Speaker 1: Uh not really actually, um. One thing I try to 933 00:50:04,520 --> 00:50:06,960 Speaker 1: avoid is is putting the camera too close to where 934 00:50:06,960 --> 00:50:10,239 Speaker 1: I expect that buck to be. You know, when I 935 00:50:10,280 --> 00:50:12,239 Speaker 1: hang that rope from the tree and put the sin on, 936 00:50:12,280 --> 00:50:16,600 Speaker 1: and I'll moving my camera back at least twenty Okay. 937 00:50:17,160 --> 00:50:20,359 Speaker 1: Is that your typical distance for all your truck camera setups? Yeah? 938 00:50:20,400 --> 00:50:26,560 Speaker 1: Pretty much. Okay, now you're doing the rope essentially mock scrape. 939 00:50:26,840 --> 00:50:30,120 Speaker 1: Deal do you create you know, traditional mock scrapes with 940 00:50:30,160 --> 00:50:32,080 Speaker 1: a with a regular lioking branch and then just kick 941 00:50:32,120 --> 00:50:36,680 Speaker 1: opening an opening underneath it or anything that? Very seldom 942 00:50:37,040 --> 00:50:39,799 Speaker 1: if I do. One trick that I learned years ago 943 00:50:39,840 --> 00:50:44,160 Speaker 1: is I'll take a piece of like cotton cord. Yeah, 944 00:50:44,160 --> 00:50:46,719 Speaker 1: I'll take a piece, and I usually have a few 945 00:50:46,719 --> 00:50:49,880 Speaker 1: of them in my family pack or my backpack that 946 00:50:50,040 --> 00:50:54,160 Speaker 1: I cut about I say, eighteen inches long. I'll put 947 00:50:54,200 --> 00:50:56,759 Speaker 1: them in a I'll do everything I can to keep 948 00:50:56,800 --> 00:50:58,880 Speaker 1: human sin off of. Usually I'll hang them in a 949 00:50:58,920 --> 00:51:02,799 Speaker 1: tree outside somewhere for a couple of weeks, and then 950 00:51:02,840 --> 00:51:05,880 Speaker 1: when I go gather them, I'll wear rubber gloves and 951 00:51:05,960 --> 00:51:09,160 Speaker 1: I will put up in a ziplock bag, and then 952 00:51:09,200 --> 00:51:11,640 Speaker 1: I'll put some kind of deer scent. The one I 953 00:51:11,719 --> 00:51:14,960 Speaker 1: like is Smoky's, and I like something that the local 954 00:51:15,239 --> 00:51:18,840 Speaker 1: hunters can't just go to the supermartin and buy something 955 00:51:18,880 --> 00:51:20,800 Speaker 1: that they've got to order, you know. It's a little 956 00:51:21,080 --> 00:51:22,960 Speaker 1: a little more rare. I don't want the buck to 957 00:51:23,000 --> 00:51:26,480 Speaker 1: smell something on my rope that he smelled last week 958 00:51:26,520 --> 00:51:30,960 Speaker 1: and something some guy was hunting at, you know. But anyway, 959 00:51:31,000 --> 00:51:33,920 Speaker 1: I'll take that piece of cord that's been in that 960 00:51:34,200 --> 00:51:36,960 Speaker 1: ziplock bag with the buck scent, and I'll tie it 961 00:51:37,000 --> 00:51:41,640 Speaker 1: on the overhead branch and that that cotton rope or 962 00:51:41,920 --> 00:51:45,400 Speaker 1: or cord will hold that scent real well. And it 963 00:51:45,520 --> 00:51:49,600 Speaker 1: just seems to drive the bucks nuts. Yeah, it seems like, 964 00:51:49,640 --> 00:51:52,320 Speaker 1: at least from everything I've seen those scrape locations or 965 00:51:52,360 --> 00:51:56,080 Speaker 1: mock scrape locations are one of the best places during 966 00:51:56,080 --> 00:51:59,360 Speaker 1: the hunting season to get pictures of a lot of bucks, 967 00:51:59,360 --> 00:52:01,480 Speaker 1: at least when you're trying to get inventory during the season. 968 00:52:01,560 --> 00:52:05,280 Speaker 1: Is that same Have you seen the same thing? Absolutely? Uh, 969 00:52:05,480 --> 00:52:08,439 Speaker 1: the first or actually the last week October, first part 970 00:52:08,440 --> 00:52:12,120 Speaker 1: of November. On these ropes, I'll get a picture of 971 00:52:12,160 --> 00:52:14,839 Speaker 1: every buckets on the property, no doubt about it. Yeah, 972 00:52:15,320 --> 00:52:19,120 Speaker 1: they will visit at some point. So you said earlier 973 00:52:19,120 --> 00:52:20,680 Speaker 1: that you don't like to put your cameras by tree 974 00:52:20,680 --> 00:52:24,839 Speaker 1: stand locations. But what happens if you've got maybe one 975 00:52:24,880 --> 00:52:27,839 Speaker 1: of these mock scrapes set ups, and at the end 976 00:52:27,880 --> 00:52:30,400 Speaker 1: of October you get a bunch of daylight pictures of 977 00:52:30,400 --> 00:52:33,839 Speaker 1: a buck right by that camera. Will you ever move 978 00:52:33,880 --> 00:52:40,120 Speaker 1: a tree stand into that area because of those daily pictures? Well, 979 00:52:40,280 --> 00:52:43,799 Speaker 1: I've never ran into that situation. But I should back 980 00:52:43,920 --> 00:52:46,839 Speaker 1: up just a little bit because a lot of times 981 00:52:46,840 --> 00:52:51,839 Speaker 1: I'll use these same rope scrapes um to narrow down 982 00:52:51,880 --> 00:52:54,480 Speaker 1: a travel corridor by one of my stands. In other words, 983 00:52:54,520 --> 00:52:56,959 Speaker 1: if I've if the bucks are traveling through a hundred 984 00:52:57,040 --> 00:53:00,359 Speaker 1: yard wide area and I can only shoot their yards 985 00:53:00,400 --> 00:53:02,680 Speaker 1: in my bow. You know, I need to get all 986 00:53:02,680 --> 00:53:05,720 Speaker 1: that as much of that traffic as possible within thirty 987 00:53:05,760 --> 00:53:08,839 Speaker 1: yards of my tree stand, and I'll use them rope 988 00:53:08,840 --> 00:53:13,239 Speaker 1: scrapes to do that. I'll put a rope scrape yards 989 00:53:13,280 --> 00:53:16,080 Speaker 1: from my tree, and most of the bucks traveling that 990 00:53:16,160 --> 00:53:19,920 Speaker 1: wide corridor will slip over and and check that scrape 991 00:53:20,000 --> 00:53:25,640 Speaker 1: once they've that rope, once they've discovered this there. And occasionally, 992 00:53:25,680 --> 00:53:28,200 Speaker 1: you know, I will put a camera there right in 993 00:53:28,200 --> 00:53:30,880 Speaker 1: front of the span, but most of the time I don't. 994 00:53:32,600 --> 00:53:35,120 Speaker 1: It's just it just depends on the individual property and 995 00:53:35,400 --> 00:53:38,239 Speaker 1: what options are available. If there's other other options, and 996 00:53:38,280 --> 00:53:41,560 Speaker 1: I definitely keep my away from the stands. Now, are 997 00:53:41,600 --> 00:53:46,440 Speaker 1: your Are your trill camera replacements permanent, so like you 998 00:53:46,480 --> 00:53:48,799 Speaker 1: put them up once the season starts and leave them there, 999 00:53:49,320 --> 00:53:53,880 Speaker 1: or are you continuously moving them? For for example, what 1000 00:53:53,960 --> 00:53:56,279 Speaker 1: I do is, okay, I see a big butt from 1001 00:53:56,280 --> 00:54:00,840 Speaker 1: a stand location, or I have them on trail camera 1002 00:54:00,880 --> 00:54:04,640 Speaker 1: at a particular trail, you know, a scrape, and then 1003 00:54:04,680 --> 00:54:07,120 Speaker 1: I move other trail cameras in the area to try 1004 00:54:07,120 --> 00:54:10,640 Speaker 1: to narrow down his travel pattern. Is that something you're doing? 1005 00:54:10,840 --> 00:54:13,759 Speaker 1: Where are you leaving your your trail cameras in the 1006 00:54:13,800 --> 00:54:17,359 Speaker 1: same spot for the most part, you know, I've got 1007 00:54:17,480 --> 00:54:24,279 Speaker 1: summer locations and then fall locations fall winter locations, and 1008 00:54:24,640 --> 00:54:27,600 Speaker 1: I make that shift sometime in September from one to 1009 00:54:27,640 --> 00:54:30,680 Speaker 1: the other. And then for the most part, once i've 1010 00:54:30,719 --> 00:54:34,440 Speaker 1: I've shifted them to their fall locations, I pretty much 1011 00:54:34,560 --> 00:54:38,239 Speaker 1: narrowed down on each property. I've been doing this for 1012 00:54:38,280 --> 00:54:41,839 Speaker 1: a while, so it's not like a new guy going 1013 00:54:41,880 --> 00:54:44,720 Speaker 1: out to do it. Uh So I pretty much narrowed 1014 00:54:44,760 --> 00:54:48,799 Speaker 1: down with that camera and needs to be uh from 1015 00:54:48,840 --> 00:54:54,120 Speaker 1: several years of experience on the property. And now I'll 1016 00:54:54,160 --> 00:54:58,000 Speaker 1: also have cameras, you know, at home ready to go. 1017 00:54:58,360 --> 00:55:00,560 Speaker 1: Where if I find a location where think I need 1018 00:55:00,560 --> 00:55:03,319 Speaker 1: to stick a camera, yeah, it doesn't matter if it's 1019 00:55:03,360 --> 00:55:05,600 Speaker 1: in the middle of the the run or what if I 1020 00:55:05,719 --> 00:55:09,600 Speaker 1: run across some something that you know I want to see, 1021 00:55:10,120 --> 00:55:12,080 Speaker 1: you know, say I find a series of big rubs 1022 00:55:12,200 --> 00:55:15,440 Speaker 1: or something and I want to see the buckets making them, 1023 00:55:15,560 --> 00:55:18,560 Speaker 1: and I'll grab a camera and slip in and and 1024 00:55:18,560 --> 00:55:20,359 Speaker 1: and put it in place. But for the most part, 1025 00:55:20,400 --> 00:55:22,960 Speaker 1: most of them are already are there, and then they 1026 00:55:23,040 --> 00:55:26,480 Speaker 1: stay there through the season. So have you have you 1027 00:55:26,520 --> 00:55:29,080 Speaker 1: ever had a situation where something you saw on a 1028 00:55:29,120 --> 00:55:32,520 Speaker 1: trail camera, lad to you killing the buck that year? 1029 00:55:32,719 --> 00:55:34,680 Speaker 1: Or has it always been things that end up being 1030 00:55:34,760 --> 00:55:41,040 Speaker 1: a year to take to actually take action on Most 1031 00:55:41,080 --> 00:55:44,360 Speaker 1: of the way, I use trail cameras more than anything 1032 00:55:44,360 --> 00:55:48,000 Speaker 1: as the inventory of the bucks that are on the property. 1033 00:55:48,560 --> 00:55:53,400 Speaker 1: I don't really use them to for stand placement, but 1034 00:55:53,840 --> 00:55:58,320 Speaker 1: it kind of it helps me. It helps me to 1035 00:55:58,400 --> 00:56:01,160 Speaker 1: use my hunting time more wisely. You know, I'm spending 1036 00:56:01,200 --> 00:56:02,880 Speaker 1: it all in the area, whether there's a buck I 1037 00:56:02,880 --> 00:56:07,600 Speaker 1: want to shoot. I'm not spending out on an observation 1038 00:56:07,760 --> 00:56:10,120 Speaker 1: stand or on a property whether there's not something that 1039 00:56:10,160 --> 00:56:13,920 Speaker 1: I absolutely know I want to shoot. So I'm not 1040 00:56:14,000 --> 00:56:19,000 Speaker 1: using the trail cameras to place my stand. Um, you know, 1041 00:56:19,040 --> 00:56:21,719 Speaker 1: I'm using scouting and experience for that. I'm using the 1042 00:56:21,719 --> 00:56:27,080 Speaker 1: trail cameras to monitor the bucks that are on the property, gotcha. 1043 00:56:27,239 --> 00:56:31,360 Speaker 1: So it's more so try to understand, you know, when 1044 00:56:31,480 --> 00:56:34,680 Speaker 1: is this buck using this area or this property, and 1045 00:56:34,719 --> 00:56:37,279 Speaker 1: then once the trail cameras tell you that, you know, 1046 00:56:37,400 --> 00:56:39,959 Speaker 1: to focus there or if the year before you knew 1047 00:56:40,040 --> 00:56:42,880 Speaker 1: that buck, you know, Joe, the buck shows up the 1048 00:56:42,920 --> 00:56:45,160 Speaker 1: middle of November, you know, to be in that area 1049 00:56:45,160 --> 00:56:47,080 Speaker 1: in the middle of November because of what the annual 1050 00:56:47,080 --> 00:56:50,520 Speaker 1: pattern is. That makes sense exactly. That's that's a nice 1051 00:56:50,560 --> 00:56:55,520 Speaker 1: summary that that that clicks for me. Um. I'm curious Dan, 1052 00:56:56,360 --> 00:56:58,440 Speaker 1: now that you're hearing this and you've heard you know, 1053 00:56:58,520 --> 00:57:01,279 Speaker 1: Mark Jurie has something similar to a are you going 1054 00:57:01,320 --> 00:57:04,240 Speaker 1: to be taking this into account with no show Jones, 1055 00:57:04,239 --> 00:57:06,360 Speaker 1: which is a buck that you mentioned that you had seen, 1056 00:57:06,480 --> 00:57:08,280 Speaker 1: you know, last year he showed up at a certain 1057 00:57:08,320 --> 00:57:11,360 Speaker 1: time frame on camera. Are you gonna try to apply 1058 00:57:11,400 --> 00:57:13,840 Speaker 1: this this year and try to take advantage of the 1059 00:57:13,840 --> 00:57:19,840 Speaker 1: annual pattern? Right? Um? I really think I had I 1060 00:57:19,880 --> 00:57:23,240 Speaker 1: had already planned this because let's see, not this this 1061 00:57:23,280 --> 00:57:25,840 Speaker 1: past year, but the previous year we had an encounter 1062 00:57:25,880 --> 00:57:29,640 Speaker 1: with him and he started hitting some scrapes um on 1063 00:57:29,640 --> 00:57:32,880 Speaker 1: one particular part of the property. This year he was 1064 00:57:32,880 --> 00:57:34,800 Speaker 1: showing up again. Or this past year he was showing 1065 00:57:34,880 --> 00:57:39,280 Speaker 1: up again on that same piece. This year, I will 1066 00:57:39,360 --> 00:57:42,560 Speaker 1: have more trail cameras in that area to try to 1067 00:57:42,640 --> 00:57:49,680 Speaker 1: find because his particular scrapes and travel corridors were, to 1068 00:57:49,760 --> 00:57:54,240 Speaker 1: be honest with you, almost perfect. Where if I decided 1069 00:57:54,280 --> 00:57:57,520 Speaker 1: to place a tree stand in a specific pinch point 1070 00:57:58,680 --> 00:58:01,640 Speaker 1: on a certain wind, he was going to be coming 1071 00:58:01,680 --> 00:58:04,560 Speaker 1: through that way to where that wind would benefit him 1072 00:58:04,720 --> 00:58:08,400 Speaker 1: very very greatly. So what I'm gonna do this year? 1073 00:58:08,440 --> 00:58:11,920 Speaker 1: He used those trail cameras to go further back to 1074 00:58:12,040 --> 00:58:16,280 Speaker 1: where he might expose himself on a specific wind direction 1075 00:58:16,600 --> 00:58:19,720 Speaker 1: on that same type of travel pattern. If that makes sense, 1076 00:58:20,240 --> 00:58:24,160 Speaker 1: I got you. And then but but to answer your question, yes, 1077 00:58:24,320 --> 00:58:28,520 Speaker 1: I will be in a stand location in some of 1078 00:58:28,560 --> 00:58:32,000 Speaker 1: those specific dates. I'm excited to see how that goes. Now, 1079 00:58:32,360 --> 00:58:34,240 Speaker 1: while you're while you're mentioned that, Dan made me think 1080 00:58:34,280 --> 00:58:36,720 Speaker 1: of another question for you done. You know, when you're 1081 00:58:36,720 --> 00:58:40,680 Speaker 1: trying to understand if this deer is in the area 1082 00:58:40,720 --> 00:58:43,440 Speaker 1: at a given time, how many trail cameras do you 1083 00:58:43,520 --> 00:58:45,520 Speaker 1: need to really get an accurate idea that? Do you 1084 00:58:45,560 --> 00:58:48,280 Speaker 1: do like one camera per hundred acres or is it 1085 00:58:48,360 --> 00:58:51,000 Speaker 1: you know, on that type of scale? How many cameras 1086 00:58:51,040 --> 00:58:55,200 Speaker 1: in a given area do we need to figure this out? Well? 1087 00:58:55,320 --> 00:58:58,200 Speaker 1: A lot of that depends on the property. A lot 1088 00:58:58,240 --> 00:59:00,880 Speaker 1: of the properties that hun are small properties where I 1089 00:59:01,000 --> 00:59:02,720 Speaker 1: might only have one or two tree stands on the 1090 00:59:02,840 --> 00:59:08,720 Speaker 1: entire property. Um I've had, you know, I don't know 1091 00:59:08,760 --> 00:59:13,640 Speaker 1: up to probably five or six acre property cameras and 1092 00:59:13,680 --> 00:59:17,040 Speaker 1: then I've had one on other properties the same size 1093 00:59:17,080 --> 00:59:24,040 Speaker 1: are bigger if you've got some good pinch points, if 1094 00:59:24,080 --> 00:59:26,560 Speaker 1: you've got ideal locations, you've got one of these ropes 1095 00:59:26,560 --> 00:59:28,919 Speaker 1: where the bucks that are hitting it, you can get 1096 00:59:28,920 --> 00:59:31,880 Speaker 1: every every buck picture on one of them ropes. I mean, 1097 00:59:32,040 --> 00:59:35,120 Speaker 1: I promise you once they start hitting it and find it. 1098 00:59:35,200 --> 00:59:36,680 Speaker 1: The thing of it is, you leave that rope up 1099 00:59:36,680 --> 00:59:41,080 Speaker 1: so it's their year after year after year, and those 1100 00:59:41,120 --> 00:59:43,840 Speaker 1: bucks will be hitting it every year coming into October 1101 00:59:43,920 --> 00:59:47,480 Speaker 1: one November and you won't have to work. Wonder if 1102 00:59:47,560 --> 00:59:50,720 Speaker 1: the buck hereafters is on the property that that rope 1103 00:59:50,760 --> 00:59:53,400 Speaker 1: is going to tell you. So do you have you 1104 00:59:53,480 --> 00:59:55,920 Speaker 1: seen that these ropes scrapes set ups? Do you think 1105 00:59:55,920 --> 00:59:58,920 Speaker 1: that actually works better than putting a camera on a 1106 00:59:59,400 --> 01:00:04,560 Speaker 1: real wild scrape? It works every bit as well. It 1107 01:00:04,600 --> 01:00:07,680 Speaker 1: probably does work better. I'm just a little bit hasn't 1108 01:00:07,720 --> 01:00:09,560 Speaker 1: to say that, but not much. I guarantee it works 1109 01:00:09,600 --> 01:00:13,640 Speaker 1: as well. Okay, But the thing about it is is 1110 01:00:14,440 --> 01:00:17,680 Speaker 1: they a lot of times the mock scrape works a 1111 01:00:17,680 --> 01:00:19,520 Speaker 1: whole lot better on a field edge or something like 1112 01:00:19,560 --> 01:00:22,600 Speaker 1: that than it does back in the cover. But these 1113 01:00:22,680 --> 01:00:27,480 Speaker 1: ropes work so much better back in the cover. Interesting, 1114 01:00:28,160 --> 01:00:30,760 Speaker 1: Any idea why that is? I have no idea off 1115 01:00:30,800 --> 01:00:32,560 Speaker 1: top of head of them thinking about that. Is it 1116 01:00:32,640 --> 01:00:35,280 Speaker 1: just because maybe it holds scent better the rope the fabric? 1117 01:00:35,360 --> 01:00:39,360 Speaker 1: Do you think or what I think that the bucks 1118 01:00:39,440 --> 01:00:41,240 Speaker 1: from the pictures I get they like to rub their 1119 01:00:41,240 --> 01:00:44,200 Speaker 1: face on that that rope. And you want the biggest 1120 01:00:44,280 --> 01:00:47,040 Speaker 1: rope you can find, I mean at least a one 1121 01:00:47,080 --> 01:00:50,479 Speaker 1: inch rope. What I do is I take that rope 1122 01:00:50,480 --> 01:00:53,240 Speaker 1: and tie a knot on the top end and uh, 1123 01:00:53,400 --> 01:00:55,480 Speaker 1: you know, attach that to the tree branch so it's 1124 01:00:55,480 --> 01:00:59,560 Speaker 1: hanging down, and then on the other end I will 1125 01:00:59,600 --> 01:01:03,080 Speaker 1: pray that so I hold the scent better. It makes 1126 01:01:03,080 --> 01:01:05,920 Speaker 1: sense and keeping about three feet off the ground works 1127 01:01:05,920 --> 01:01:10,160 Speaker 1: pretty well. And you're using You said that Smokey's preorbital lure, 1128 01:01:10,320 --> 01:01:14,120 Speaker 1: Is that right? Yeah? That's my favorite by far. I've 1129 01:01:14,160 --> 01:01:17,200 Speaker 1: heard good things about it. Yeah, But what I really 1130 01:01:17,200 --> 01:01:18,960 Speaker 1: like about it is that the local guy can't just 1131 01:01:19,000 --> 01:01:21,400 Speaker 1: go down to the store by it. So if the 1132 01:01:21,400 --> 01:01:24,000 Speaker 1: buck comes by and smells it on my rope, he's 1133 01:01:24,000 --> 01:01:29,200 Speaker 1: probably never smelled that before anywhere else. Right If I'm wrong, 1134 01:01:29,280 --> 01:01:33,160 Speaker 1: but I think that scent is supposed to mimic the 1135 01:01:33,160 --> 01:01:35,439 Speaker 1: the scent that comes out of the preorbital gland, which 1136 01:01:35,480 --> 01:01:37,000 Speaker 1: is one of those glands I think up near the 1137 01:01:37,040 --> 01:01:41,840 Speaker 1: forehead area on a deer. Right. Yeah, and well smoke 1138 01:01:41,920 --> 01:01:44,680 Speaker 1: he's actually got I don't know how many different kinds 1139 01:01:44,680 --> 01:01:46,840 Speaker 1: now he sends me some each year. But he also 1140 01:01:47,240 --> 01:01:49,200 Speaker 1: he eats these, testing new stuff all the time. I 1141 01:01:49,280 --> 01:01:51,680 Speaker 1: usually get a couple of bottles of test sent to 1142 01:01:52,320 --> 01:01:53,840 Speaker 1: tell you what. He'd be a good guy for your 1143 01:01:53,840 --> 01:01:57,520 Speaker 1: podcast too, because when it comes to sense in wildlife, 1144 01:01:57,560 --> 01:02:01,360 Speaker 1: he's an expert. But his man, I mean it, drawson man. 1145 01:02:01,400 --> 01:02:03,120 Speaker 1: You get them coming to that rope, and I'm telling 1146 01:02:03,120 --> 01:02:04,840 Speaker 1: you you will get a picture of every buck on 1147 01:02:04,880 --> 01:02:09,400 Speaker 1: the property. Yeah, I'm I'm I'm curious to try that now. Yeah, 1148 01:02:09,560 --> 01:02:11,600 Speaker 1: I'll send you some trail camera pictures and here by 1149 01:02:11,640 --> 01:02:13,360 Speaker 1: email on if you want to use them on your 1150 01:02:13,400 --> 01:02:15,760 Speaker 1: website or whatever. Feel free. Yeah, I'd like to see that. 1151 01:02:16,280 --> 01:02:19,720 Speaker 1: Um so, so damn, do you have any more questions 1152 01:02:19,760 --> 01:02:22,960 Speaker 1: for Don related to how he's using cameras during the 1153 01:02:23,000 --> 01:02:25,240 Speaker 1: hunting season or anything, because I've got another topic, but 1154 01:02:25,280 --> 01:02:27,480 Speaker 1: it's kind of a little bit off topic. So before 1155 01:02:27,520 --> 01:02:29,520 Speaker 1: we move to that, anything else that you need to 1156 01:02:29,520 --> 01:02:33,320 Speaker 1: know on this one, No, because I actually the question 1157 01:02:33,360 --> 01:02:37,040 Speaker 1: that I have for him is off topic as well. 1158 01:02:36,000 --> 01:02:42,800 Speaker 1: Oh right, so get interesting. Yeah you really never know, Dan, 1159 01:02:42,920 --> 01:02:47,320 Speaker 1: it could be real weird. So but before we get 1160 01:02:47,360 --> 01:02:50,480 Speaker 1: to that, I'll let you close things out, Dan. Um. 1161 01:02:50,520 --> 01:02:52,400 Speaker 1: A few weeks ago down we were emailing back and 1162 01:02:52,440 --> 01:02:56,320 Speaker 1: forth about you know, a different aspect of trail cameras, 1163 01:02:56,720 --> 01:02:59,040 Speaker 1: and that being you know, the different trends that you 1164 01:02:59,120 --> 01:03:02,080 Speaker 1: can see or uh, things that might be going on 1165 01:03:02,200 --> 01:03:04,400 Speaker 1: within a dear population that you might be able predict 1166 01:03:04,520 --> 01:03:06,840 Speaker 1: or see based on you know, what the camera pictures 1167 01:03:06,840 --> 01:03:10,640 Speaker 1: are telling you. Um, can you tell can you tell 1168 01:03:10,720 --> 01:03:12,840 Speaker 1: us a little bit about you know, how you've done 1169 01:03:12,840 --> 01:03:14,320 Speaker 1: that in the past, what things you've been able to 1170 01:03:14,360 --> 01:03:16,560 Speaker 1: learn through your trail cameras that that maybe relate to 1171 01:03:16,640 --> 01:03:20,760 Speaker 1: a larger population issue. Um, And then well, I guess 1172 01:03:20,760 --> 01:03:22,200 Speaker 1: tell us about that. And then I'm curious to see 1173 01:03:22,200 --> 01:03:26,240 Speaker 1: if there's anything you've been seeing recently. Okay, Yeah, in 1174 01:03:26,280 --> 01:03:31,600 Speaker 1: the past, I've noticed things like fawn recruitment. Uh. I 1175 01:03:31,600 --> 01:03:33,840 Speaker 1: think it was two thousand twelve year the h D 1176 01:03:33,920 --> 01:03:37,160 Speaker 1: hit that summer. Even before h D hit through the 1177 01:03:37,200 --> 01:03:40,800 Speaker 1: Midwest here real hard. I was seeing lots of mature 1178 01:03:40,880 --> 01:03:43,800 Speaker 1: does that never had fawns with them. I was seeing 1179 01:03:43,800 --> 01:03:46,360 Speaker 1: groups of mature doughes, four or five dolls at a time, 1180 01:03:46,440 --> 01:03:48,880 Speaker 1: coming out to feed in fields and there not be 1181 01:03:48,920 --> 01:03:50,360 Speaker 1: a fawn with them. And I'm talking late in the 1182 01:03:50,360 --> 01:03:53,800 Speaker 1: summer when the fawns should have been following them. And 1183 01:03:53,880 --> 01:03:56,400 Speaker 1: you know, I was making the comments of friends, you 1184 01:03:56,440 --> 01:03:58,640 Speaker 1: know that the fawns are not there, We're gonna have 1185 01:03:58,640 --> 01:04:01,280 Speaker 1: a very poor fawn recruit And I wasn't seeing anything 1186 01:04:01,320 --> 01:04:04,840 Speaker 1: on on the website and magazines or anything like that 1187 01:04:05,440 --> 01:04:08,120 Speaker 1: at that time. And then you know, eventually I started 1188 01:04:08,160 --> 01:04:12,120 Speaker 1: seeing a little bit about it. I was also seen, uh, 1189 01:04:12,360 --> 01:04:14,920 Speaker 1: there was one property in particular where I was seeing 1190 01:04:15,360 --> 01:04:19,800 Speaker 1: a lot of coyotes. The predator population was was really high, 1191 01:04:19,880 --> 01:04:21,920 Speaker 1: and I don't know if that was and it was 1192 01:04:21,960 --> 01:04:24,480 Speaker 1: at the same time that the fawn recruitment was so low. 1193 01:04:24,640 --> 01:04:26,240 Speaker 1: And I don't know if the to are related or 1194 01:04:26,280 --> 01:04:29,840 Speaker 1: what it was, but those are the kind of trends, 1195 01:04:29,880 --> 01:04:33,440 Speaker 1: you know that having lots of trail cameras over a 1196 01:04:33,440 --> 01:04:36,560 Speaker 1: wide geographic area rather than just don't want or two properties, 1197 01:04:37,160 --> 01:04:41,280 Speaker 1: you can note things like that, and do you sorry, 1198 01:04:41,280 --> 01:04:44,120 Speaker 1: go ahead, Well, I was just gonna move on to 1199 01:04:44,120 --> 01:04:46,840 Speaker 1: the second part of your question, so real quick before 1200 01:04:46,840 --> 01:04:50,560 Speaker 1: you do that. Then, Um, since you've seen these types 1201 01:04:50,600 --> 01:04:52,840 Speaker 1: of trends show up in your pictures in past years, 1202 01:04:53,040 --> 01:04:55,479 Speaker 1: when you're looking through your pictures every time you pull card, 1203 01:04:55,760 --> 01:04:58,880 Speaker 1: are you actively paying attention to every dough fa on 1204 01:04:59,240 --> 01:05:01,320 Speaker 1: every dear because you're trying to look for these types 1205 01:05:01,360 --> 01:05:04,520 Speaker 1: of trends? Um, Because I, you know, in all honesty 1206 01:05:04,640 --> 01:05:06,760 Speaker 1: and maybe I shouldn't do this, but I get pretty 1207 01:05:06,800 --> 01:05:09,720 Speaker 1: distracted just you know, flipping through these pictures as quickly 1208 01:05:09,720 --> 01:05:11,680 Speaker 1: as I can just to try to see a shooter buck. 1209 01:05:12,040 --> 01:05:13,800 Speaker 1: And I probably miss out on some of these trends 1210 01:05:13,800 --> 01:05:16,080 Speaker 1: because I'm not paying enough attention to everything. Do you 1211 01:05:16,360 --> 01:05:19,720 Speaker 1: actively look for that? You know? At first I didn't. 1212 01:05:20,160 --> 01:05:21,680 Speaker 1: I was just like you. I was looking for the 1213 01:05:21,680 --> 01:05:24,440 Speaker 1: next shooter buck. I didn't the faun picture. I was 1214 01:05:24,480 --> 01:05:26,960 Speaker 1: just flipping through it to get to the next buck picture. 1215 01:05:27,920 --> 01:05:32,600 Speaker 1: And but then once you know that was probably that 1216 01:05:32,720 --> 01:05:35,960 Speaker 1: fall and recruitment back in two thousand and twelve and 1217 01:05:36,000 --> 01:05:39,960 Speaker 1: the high predator population at the same time, it was 1218 01:05:40,040 --> 01:05:43,040 Speaker 1: so obvious that you know, I didn't have to look 1219 01:05:43,080 --> 01:05:45,840 Speaker 1: that hard. To see it. I mean in the summertime, 1220 01:05:45,880 --> 01:05:48,840 Speaker 1: you just don't see five does come out into a 1221 01:05:48,880 --> 01:05:50,600 Speaker 1: field of feed and there ain't a faun with them, 1222 01:05:51,680 --> 01:05:54,440 Speaker 1: but they're hanging together and you're seeing their pictures as 1223 01:05:54,440 --> 01:05:57,080 Speaker 1: a group day after day after day. Uh. You know, 1224 01:05:57,080 --> 01:06:00,680 Speaker 1: the does typically go off alone to have their fond 1225 01:06:00,760 --> 01:06:04,080 Speaker 1: and it's some time before they grew up again, usually 1226 01:06:04,160 --> 01:06:07,080 Speaker 1: later in the fall. So that one kind of jumped 1227 01:06:07,080 --> 01:06:09,200 Speaker 1: out at me. But after that point then I started 1228 01:06:09,200 --> 01:06:12,120 Speaker 1: looking for things and you know the one that I've 1229 01:06:12,160 --> 01:06:14,720 Speaker 1: seen here recently. And I'll make a bold prediction here 1230 01:06:14,720 --> 01:06:16,800 Speaker 1: and I may look look bad down the road and 1231 01:06:16,880 --> 01:06:20,680 Speaker 1: have egg on my face or whatever. But one thing 1232 01:06:20,720 --> 01:06:24,320 Speaker 1: that really hit me last fall in November was the 1233 01:06:24,360 --> 01:06:27,280 Speaker 1: weather pattern. And Terry or Mark Durry, you know, hit 1234 01:06:27,320 --> 01:06:29,320 Speaker 1: on that whenever he was talking to you as well. 1235 01:06:29,360 --> 01:06:34,760 Speaker 1: But the weather last November was the best as far 1236 01:06:34,800 --> 01:06:37,880 Speaker 1: as hunting conditions that I've ever seen in my life. 1237 01:06:37,880 --> 01:06:39,880 Speaker 1: And like I said, I started deering in the nineteen 1238 01:06:39,960 --> 01:06:43,280 Speaker 1: seventies and I've never seen a November where you know, 1239 01:06:44,080 --> 01:06:46,560 Speaker 1: in central Illinois where I'm at, it hardly ever snows 1240 01:06:46,560 --> 01:06:49,880 Speaker 1: in November. Maybe towards Thanksgiving you might get a dusting, 1241 01:06:50,680 --> 01:06:52,800 Speaker 1: but there was about three or four times, but we 1242 01:06:52,840 --> 01:06:55,240 Speaker 1: had snow on the ground in November and it just 1243 01:06:55,280 --> 01:06:59,760 Speaker 1: stayed cold. And you know, as I opened my Facebook 1244 01:06:59,760 --> 01:07:03,120 Speaker 1: pay every day, I mean, there was just buck after 1245 01:07:03,240 --> 01:07:05,760 Speaker 1: the buck after bucket. Guys were killing right and left, 1246 01:07:06,760 --> 01:07:09,800 Speaker 1: and uh one thing that happened with the bucks that 1247 01:07:09,840 --> 01:07:12,360 Speaker 1: I was taking inventory or you know, we're on my 1248 01:07:12,520 --> 01:07:16,360 Speaker 1: list that I was keeping track of bucks up and comers. 1249 01:07:16,360 --> 01:07:19,439 Speaker 1: You know that weren't quite old enough for big enough 1250 01:07:19,440 --> 01:07:21,600 Speaker 1: that I wanted to shoot. Yet a lot more of 1251 01:07:21,600 --> 01:07:24,240 Speaker 1: them got killed last year than any time that I've 1252 01:07:24,840 --> 01:07:28,840 Speaker 1: since I've been running trail cameras, and I thought, quarterback 1253 01:07:28,880 --> 01:07:31,400 Speaker 1: in New High November, this is not good. You know, 1254 01:07:31,440 --> 01:07:34,800 Speaker 1: we just had a couple of bad years of e 1255 01:07:35,040 --> 01:07:38,720 Speaker 1: h D in two thousand, twelve and thirteen, and the 1256 01:07:38,760 --> 01:07:41,960 Speaker 1: herd is starting to rebuild just a hair and then 1257 01:07:42,000 --> 01:07:44,680 Speaker 1: the two thousand and fourteen we have this perfect weather 1258 01:07:44,760 --> 01:07:47,000 Speaker 1: and where the bucks just get slaughtered right and left. 1259 01:07:47,560 --> 01:07:49,480 Speaker 1: And so going into this summer, I thought, I'm going 1260 01:07:49,560 --> 01:07:52,320 Speaker 1: to keep a real close eye on what I'm seeing 1261 01:07:52,360 --> 01:07:54,800 Speaker 1: as far as the bucks on my trail cameras because 1262 01:07:55,520 --> 01:07:59,480 Speaker 1: I was expecting not to see the numbers of bucks 1263 01:07:59,480 --> 01:08:01,840 Speaker 1: that I had in the past summers, and that's exactly 1264 01:08:01,880 --> 01:08:04,760 Speaker 1: what I've seen. I think that the weather was still 1265 01:08:04,760 --> 01:08:07,680 Speaker 1: perfect last fall, that we killed a lot of bucks 1266 01:08:07,680 --> 01:08:11,400 Speaker 1: that normally would have lived. Uh typically in November, you know, 1267 01:08:11,400 --> 01:08:13,400 Speaker 1: you have warm periods and you will get cold for 1268 01:08:13,400 --> 01:08:14,960 Speaker 1: two or three days, you have some good hunting and 1269 01:08:15,000 --> 01:08:18,160 Speaker 1: a warm back up, and I just didn't happen, and 1270 01:08:18,200 --> 01:08:21,360 Speaker 1: those bucks just continued to fall, and we shot bucks 1271 01:08:21,360 --> 01:08:24,200 Speaker 1: that normally would have made it to this year. And 1272 01:08:24,240 --> 01:08:26,800 Speaker 1: I'm seeing that on my trail camera pictures, and my 1273 01:08:26,880 --> 01:08:28,960 Speaker 1: prediction is that the buck harvest and a lot of 1274 01:08:28,960 --> 01:08:33,200 Speaker 1: Midwestern states is gonna be down now. I am seeing 1275 01:08:34,560 --> 01:08:36,240 Speaker 1: I'm seeing a lot of young bucks a year and 1276 01:08:36,280 --> 01:08:38,559 Speaker 1: a half olds, and I'm seeing several of the older 1277 01:08:38,600 --> 01:08:40,559 Speaker 1: bucks that it's almost like the two and three year 1278 01:08:40,560 --> 01:08:45,639 Speaker 1: olds are are missing age groups. There's just not near 1279 01:08:45,680 --> 01:08:47,280 Speaker 1: as many of them. And I think those were the 1280 01:08:47,320 --> 01:08:50,800 Speaker 1: bucks that were probably the most vulnerable last fall when 1281 01:08:50,800 --> 01:08:52,960 Speaker 1: they were a year younger, and a lot of those 1282 01:08:53,000 --> 01:08:56,400 Speaker 1: got killed. So there's gonna be some great bucks killed 1283 01:08:56,400 --> 01:08:58,840 Speaker 1: this fall, There's no doubt about it. I've got trail 1284 01:08:58,920 --> 01:09:03,000 Speaker 1: camera pictures of probably as many old older age class blocks, 1285 01:09:03,040 --> 01:09:05,000 Speaker 1: you know, four and a half and older as I've 1286 01:09:05,000 --> 01:09:08,559 Speaker 1: ever had, but there and plenty of year lanes as well, 1287 01:09:08,600 --> 01:09:11,519 Speaker 1: But it's those two and three and some four year 1288 01:09:11,520 --> 01:09:14,880 Speaker 1: olds had just done quite there as they have been 1289 01:09:14,920 --> 01:09:17,920 Speaker 1: in past years. And I attributed it to last November's weather. 1290 01:09:18,920 --> 01:09:22,719 Speaker 1: Is it makes it makes a lot of logical sense. 1291 01:09:22,880 --> 01:09:25,920 Speaker 1: I never thought about that, but you're so right that 1292 01:09:26,240 --> 01:09:29,599 Speaker 1: there probably were a lot more bucks taken than usual, 1293 01:09:30,400 --> 01:09:32,240 Speaker 1: especially like you said, there's two and three year olds 1294 01:09:32,240 --> 01:09:34,280 Speaker 1: that will really get moving on those cold days because 1295 01:09:34,600 --> 01:09:38,040 Speaker 1: that weather was so ideal, Dan, Dan, have you seen 1296 01:09:38,080 --> 01:09:39,800 Speaker 1: when when you when you hear this, if you noticed 1297 01:09:39,800 --> 01:09:42,000 Speaker 1: anything in your cameras that kind of coincides with what 1298 01:09:42,080 --> 01:09:44,920 Speaker 1: he said? Yeah, I'll tell you what. It's funny to 1299 01:09:44,920 --> 01:09:50,160 Speaker 1: say that, because was it two years ago? All I 1300 01:09:50,280 --> 01:09:53,360 Speaker 1: was two or three years ago, I was seeing a 1301 01:09:53,439 --> 01:09:56,760 Speaker 1: gap like not a lot of three year olds, but 1302 01:09:56,840 --> 01:09:59,960 Speaker 1: I was seeing an upper age class in a lower 1303 01:10:00,560 --> 01:10:03,240 Speaker 1: a lower age class, not right in the middle. Yep. 1304 01:10:03,840 --> 01:10:08,760 Speaker 1: And and then this year you know, now later on 1305 01:10:08,840 --> 01:10:13,559 Speaker 1: the line, I am hardly getting any pictures of that. 1306 01:10:13,800 --> 01:10:16,360 Speaker 1: Those are one I'm getting some, but not as much 1307 01:10:16,400 --> 01:10:19,640 Speaker 1: as I used to have those one twenties, those you know, 1308 01:10:19,720 --> 01:10:22,920 Speaker 1: those those two and those two year olds. I want 1309 01:10:22,920 --> 01:10:25,719 Speaker 1: to say, tons of spikes, but no two year olds 1310 01:10:25,800 --> 01:10:29,920 Speaker 1: for some reason. Hmm yea. And the interesting or the 1311 01:10:30,640 --> 01:10:33,840 Speaker 1: I guess, and it's not really interesting. It's kind of unfortunate, 1312 01:10:34,120 --> 01:10:36,840 Speaker 1: is that the deer herds in the Midwest were really 1313 01:10:36,840 --> 01:10:39,160 Speaker 1: hammered with the h D in in two thousand, twelve 1314 01:10:39,200 --> 01:10:43,280 Speaker 1: and thirteen, and then two thousand and fourteen we didn't 1315 01:10:43,280 --> 01:10:45,280 Speaker 1: have it as bad, and they were herds were starting 1316 01:10:45,280 --> 01:10:48,040 Speaker 1: to recover just a little at least in the areas 1317 01:10:48,040 --> 01:10:51,160 Speaker 1: that I hunt, and then the perfect weather comes along 1318 01:10:51,240 --> 01:10:53,760 Speaker 1: and it allows hunters to drop them right and left, 1319 01:10:53,840 --> 01:10:56,960 Speaker 1: and I think it it drove harvest figures up just 1320 01:10:57,000 --> 01:11:00,679 Speaker 1: a little bit more. In it it may the herd 1321 01:11:00,720 --> 01:11:03,760 Speaker 1: looked just a little bit better for the state biologists 1322 01:11:03,760 --> 01:11:08,559 Speaker 1: than it really was because the weather was so non typical, 1323 01:11:08,600 --> 01:11:12,519 Speaker 1: if you will, during the peak of the rut. Yeah. 1324 01:11:12,680 --> 01:11:15,639 Speaker 1: I hope that we don't see a big drop again. 1325 01:11:16,360 --> 01:11:20,639 Speaker 1: That was, you know, overinflated because of the significant harvest 1326 01:11:20,720 --> 01:11:23,880 Speaker 1: we had last year due to weather. Um. That is 1327 01:11:23,920 --> 01:11:26,439 Speaker 1: a scary thing to think about now that you mention it. 1328 01:11:28,160 --> 01:11:30,040 Speaker 1: I hope it's not the case, but you you make 1329 01:11:30,080 --> 01:11:32,960 Speaker 1: a lot of sense. The good thing, if there is 1330 01:11:32,960 --> 01:11:35,000 Speaker 1: a good thing about it, is that I have seen 1331 01:11:35,040 --> 01:11:37,400 Speaker 1: as many mature bucks or got pictures of as many 1332 01:11:37,439 --> 01:11:40,400 Speaker 1: mature bucks this summers I probably ever have. It's just 1333 01:11:40,479 --> 01:11:43,880 Speaker 1: the middle aged bucks are the ones that are hurting, 1334 01:11:44,280 --> 01:11:46,400 Speaker 1: which is gonna affect us a couple of years down 1335 01:11:46,439 --> 01:11:51,120 Speaker 1: the road. Yeah. Well, one of the things I always thought, 1336 01:11:51,160 --> 01:11:53,320 Speaker 1: you know, after the big h D outbreak of two 1337 01:11:53,360 --> 01:11:56,080 Speaker 1: thousand twelve and then thirteen a little bit more, my 1338 01:11:56,160 --> 01:11:59,760 Speaker 1: assumption was that you know, we lost significant portions of 1339 01:11:59,760 --> 01:12:02,280 Speaker 1: the year her during this time periods. The deer population 1340 01:12:02,320 --> 01:12:05,040 Speaker 1: went way down, But for the bucks that did survive, 1341 01:12:06,000 --> 01:12:08,960 Speaker 1: with the fact there's so much less competition for food, 1342 01:12:09,200 --> 01:12:11,040 Speaker 1: my assumption was that you get a lot of deer 1343 01:12:11,080 --> 01:12:14,120 Speaker 1: really reaching their potential because there was no lack of 1344 01:12:14,200 --> 01:12:16,200 Speaker 1: nutrition for them. They weren't competing with tons and tons 1345 01:12:16,240 --> 01:12:18,160 Speaker 1: of the other deer. I figured in those couple of 1346 01:12:18,240 --> 01:12:22,200 Speaker 1: years after twelve thirteen, you know, I figured fourteen and fifteen, 1347 01:12:22,200 --> 01:12:24,320 Speaker 1: you'd start seeing some of these bucks that got to 1348 01:12:24,360 --> 01:12:27,080 Speaker 1: take advantage of that extra food in some places that 1349 01:12:27,120 --> 01:12:29,280 Speaker 1: maybe in past years they wouldn't have. I don't know 1350 01:12:29,360 --> 01:12:31,280 Speaker 1: now if this is gonna you know, if there wasn't 1351 01:12:31,280 --> 01:12:33,120 Speaker 1: any truth to that, I wonder if this might you know, 1352 01:12:33,200 --> 01:12:38,400 Speaker 1: negate that anyways. Yeah, and there's also the social aspect there, 1353 01:12:40,160 --> 01:12:44,519 Speaker 1: uh as a social animal. But my experience with captive deer, 1354 01:12:45,000 --> 01:12:47,439 Speaker 1: you know, you start crowding them into a pan or 1355 01:12:48,439 --> 01:12:50,400 Speaker 1: even wild once you get too many in the in 1356 01:12:50,439 --> 01:12:54,120 Speaker 1: a for the habitat, and it's stressful of them and 1357 01:12:54,400 --> 01:12:56,719 Speaker 1: they're just not near as productive in terms of antler 1358 01:12:56,760 --> 01:12:59,759 Speaker 1: growth and PAM production as when their numbers are damned. 1359 01:13:01,080 --> 01:13:03,920 Speaker 1: So I mean this summer, I've seen lots of fonds 1360 01:13:04,280 --> 01:13:07,519 Speaker 1: and lots of twins, even some triplets, and it's almost 1361 01:13:07,520 --> 01:13:10,120 Speaker 1: like mother nature knows that, you know, the habitat can 1362 01:13:10,120 --> 01:13:13,000 Speaker 1: withstand it. Let's craig at the production on these animals, 1363 01:13:13,000 --> 01:13:17,639 Speaker 1: and and that's what happens. Yeah, nature has a way. Yeah, 1364 01:13:18,360 --> 01:13:21,360 Speaker 1: I I think that what you just mentioned is exactly 1365 01:13:21,360 --> 01:13:23,840 Speaker 1: what's happening on one of my main farms I hunt 1366 01:13:23,840 --> 01:13:27,400 Speaker 1: in Michigan, where where the dope population has just gotten 1367 01:13:27,400 --> 01:13:30,240 Speaker 1: out of control. I've tried, but I've not done enough 1368 01:13:30,360 --> 01:13:33,720 Speaker 1: to to control that dope population I don't think my 1369 01:13:33,760 --> 01:13:37,240 Speaker 1: neighbors are at all. And um, you know, for a 1370 01:13:37,280 --> 01:13:39,960 Speaker 1: few years, I was seeing more mature bucks every year, 1371 01:13:40,280 --> 01:13:42,800 Speaker 1: and then the last two years it's just it's gone 1372 01:13:42,840 --> 01:13:46,800 Speaker 1: way downhill. There's no old deer, um, you know, one 1373 01:13:46,880 --> 01:13:48,640 Speaker 1: or two three year olds. Maybe it's just it just 1374 01:13:48,680 --> 01:13:51,080 Speaker 1: seems like, as far as I can tell, unless there's 1375 01:13:51,120 --> 01:13:53,519 Speaker 1: a new hunters around here that are shooting everything in 1376 01:13:53,560 --> 01:13:56,800 Speaker 1: the world. Um, my best guess is that this dope 1377 01:13:56,800 --> 01:13:59,240 Speaker 1: population has just gotten way too dense to the point 1378 01:13:59,320 --> 01:14:01,479 Speaker 1: where it is we're crowding those bucks and you know, 1379 01:14:01,520 --> 01:14:04,400 Speaker 1: making them stressed, not as much food available, and they're 1380 01:14:04,400 --> 01:14:06,320 Speaker 1: moving to places where they've got a little more breathing room. 1381 01:14:06,360 --> 01:14:11,360 Speaker 1: I think social stress on bucks is real. I don't 1382 01:14:11,400 --> 01:14:13,679 Speaker 1: know how much an effect it has on antler growth 1383 01:14:13,680 --> 01:14:19,160 Speaker 1: and things, but social stress is is definitely real. Yeah, 1384 01:14:18,640 --> 01:14:21,160 Speaker 1: I got my work cut out for me this year 1385 01:14:21,640 --> 01:14:27,240 Speaker 1: filling some dough tex, that's for sure. So Dan, any 1386 01:14:27,240 --> 01:14:30,840 Speaker 1: other questions for Don on that topic or whatever off 1387 01:14:30,880 --> 01:14:33,400 Speaker 1: the wall thing you might have in your head. It's 1388 01:14:33,439 --> 01:14:38,080 Speaker 1: not too off the wall, but my my question is, 1389 01:14:38,160 --> 01:14:43,120 Speaker 1: and it's completely out of nowhere. You mentioned a little 1390 01:14:43,120 --> 01:14:46,000 Speaker 1: bit about you know, wearing rubber gloves when you do 1391 01:14:46,120 --> 01:14:51,240 Speaker 1: that rope thing. And I'm just curious on what your 1392 01:14:51,640 --> 01:14:55,600 Speaker 1: scent control regiment is for actually hunting while you're in 1393 01:14:55,640 --> 01:15:02,839 Speaker 1: the tree stand. It's probably, uh, my scent control regiment 1394 01:15:02,960 --> 01:15:05,559 Speaker 1: is probably the least of anyone you've ever talked to. 1395 01:15:06,600 --> 01:15:10,160 Speaker 1: I used the wind. I mean, don't get me wrong. 1396 01:15:10,200 --> 01:15:12,560 Speaker 1: I try to keep my clothes clean. Put him in 1397 01:15:12,600 --> 01:15:14,559 Speaker 1: a tub. I put them on when I get to 1398 01:15:14,600 --> 01:15:17,920 Speaker 1: my hunting area and all that. I don't spray down 1399 01:15:17,960 --> 01:15:23,080 Speaker 1: with sprays. I don't wear the similimination clothing. The wind 1400 01:15:23,200 --> 01:15:26,439 Speaker 1: is the key. And the last time we spoke back 1401 01:15:26,479 --> 01:15:29,479 Speaker 1: in December, you know, I talked about this thing too. 1402 01:15:30,560 --> 01:15:34,200 Speaker 1: Buck he wants to move when he's only gonna move him. 1403 01:15:34,200 --> 01:15:35,960 Speaker 1: But your buck is only gonna move when he thinks 1404 01:15:35,960 --> 01:15:41,760 Speaker 1: he's safe. Um, And that's when the wind conditions are 1405 01:15:41,840 --> 01:15:44,559 Speaker 1: in his favor. The direction from where he's at where 1406 01:15:44,560 --> 01:15:46,720 Speaker 1: he wants to go, there's a wind direction that we're 1407 01:15:46,760 --> 01:15:48,519 Speaker 1: allowing him to do that safely, and that's when he's 1408 01:15:48,520 --> 01:15:52,200 Speaker 1: gonna do it. I've just learned to play the wind, 1409 01:15:52,600 --> 01:15:56,960 Speaker 1: and the wind is my scent control. So this is 1410 01:15:56,960 --> 01:15:59,840 Speaker 1: the topic that has been increasingly fascinating to me, and 1411 01:15:59,880 --> 01:16:02,400 Speaker 1: I think it's a big part of the jump for 1412 01:16:02,520 --> 01:16:04,840 Speaker 1: people when they start going from just you know, trying 1413 01:16:04,840 --> 01:16:06,840 Speaker 1: to shoot any of your to trying to shoot a 1414 01:16:06,880 --> 01:16:11,960 Speaker 1: mature buck. Is understanding the fact that mature bucks want 1415 01:16:12,000 --> 01:16:14,400 Speaker 1: to move with the wind in their favor in some way, 1416 01:16:14,439 --> 01:16:18,080 Speaker 1: but specifically, can you explain to us, you know, what 1417 01:16:18,160 --> 01:16:20,240 Speaker 1: you've found to be the case given your experience when 1418 01:16:20,280 --> 01:16:22,280 Speaker 1: it comes to how a buck wants to enter a 1419 01:16:22,320 --> 01:16:25,600 Speaker 1: feeding area and then how buck wants to enter a 1420 01:16:25,640 --> 01:16:28,280 Speaker 1: betting area. How does he like the wind in both 1421 01:16:28,320 --> 01:16:33,320 Speaker 1: of those two situations. Typically from what you've seen, well 1422 01:16:33,600 --> 01:16:35,920 Speaker 1: in the morning, when a buck's coming back to bed, 1423 01:16:36,560 --> 01:16:41,360 Speaker 1: they love to to uh enter the betting area with 1424 01:16:41,439 --> 01:16:44,599 Speaker 1: a cross wind, and what they'll do is they'll walk 1425 01:16:44,680 --> 01:16:47,439 Speaker 1: the down the wind edge of the of the betting area. 1426 01:16:48,600 --> 01:16:50,439 Speaker 1: What's even more ideal than a cross wind is a 1427 01:16:50,520 --> 01:16:52,960 Speaker 1: quartering wind where the winds quartering out of the betting 1428 01:16:53,000 --> 01:16:56,479 Speaker 1: area into his nose. And so what they mature buck 1429 01:16:56,520 --> 01:16:58,120 Speaker 1: does a lot of times is he'll walk that down 1430 01:16:58,160 --> 01:17:00,160 Speaker 1: wind the edge with the wind quartering into his was 1431 01:17:00,160 --> 01:17:02,040 Speaker 1: out of out of the cover where he's gonna bed. 1432 01:17:02,680 --> 01:17:05,200 Speaker 1: He walked almost the entire edge of that cover, and 1433 01:17:05,200 --> 01:17:07,560 Speaker 1: then he will jay hook right back into it. And 1434 01:17:07,600 --> 01:17:09,559 Speaker 1: when he jay hooks back into it, a lot of 1435 01:17:09,560 --> 01:17:12,360 Speaker 1: times a guy, if a hunter sees him, didn't realize 1436 01:17:12,400 --> 01:17:15,799 Speaker 1: what's happened once he's made that turn, and that wind's 1437 01:17:15,840 --> 01:17:18,479 Speaker 1: not quartering into his nose, it's quartering into his butt 1438 01:17:18,680 --> 01:17:20,880 Speaker 1: and it's almost like he's got a tail wind coming in. 1439 01:17:21,560 --> 01:17:24,240 Speaker 1: But what everybody seems to miss is that before that 1440 01:17:24,280 --> 01:17:27,759 Speaker 1: buck ever entered with a tail wind, he had already 1441 01:17:27,800 --> 01:17:30,800 Speaker 1: sent check it with the perfect wind conditions for him 1442 01:17:30,840 --> 01:17:33,720 Speaker 1: to do so. And that's how they like to bed 1443 01:17:33,760 --> 01:17:38,479 Speaker 1: And there is no better stand site in early November 1444 01:17:38,520 --> 01:17:41,000 Speaker 1: before the ruts really going for the dozeer and heat. 1445 01:17:41,000 --> 01:17:43,559 Speaker 1: When those bucks are in the seeking phase, you get 1446 01:17:43,560 --> 01:17:47,240 Speaker 1: on the dead down wind edge of bedding cover and 1447 01:17:47,320 --> 01:17:50,360 Speaker 1: those bucks will run that all day long because they 1448 01:17:50,400 --> 01:17:52,120 Speaker 1: can run that edge and they can send check any 1449 01:17:52,160 --> 01:17:54,000 Speaker 1: hot does that are in there at the same time 1450 01:17:54,000 --> 01:17:57,240 Speaker 1: they can send check for cover. So that's how they 1451 01:17:57,320 --> 01:17:59,240 Speaker 1: like to do it. When they're coming back to bed 1452 01:17:59,280 --> 01:18:02,080 Speaker 1: and in the even things, you know, if he's headed 1453 01:18:02,120 --> 01:18:04,920 Speaker 1: towards that that feeding area, he wants that that wind 1454 01:18:04,960 --> 01:18:09,679 Speaker 1: at least quartering into his nose, so as he's going 1455 01:18:09,880 --> 01:18:12,360 Speaker 1: from feeding to betting, and that wind's quartering into his nose. 1456 01:18:12,400 --> 01:18:15,240 Speaker 1: If you're on the right side of the trail, then 1457 01:18:15,360 --> 01:18:16,800 Speaker 1: then your sense is going to be blown off to 1458 01:18:16,840 --> 01:18:18,639 Speaker 1: the side of him instead of at him. If you're 1459 01:18:18,640 --> 01:18:20,160 Speaker 1: on the wrong side of the trail, and then he's 1460 01:18:20,160 --> 01:18:25,760 Speaker 1: gonna pick you off. Yeah, yeah, it does. I have 1461 01:18:25,840 --> 01:18:27,880 Speaker 1: to I have to. I have to draw this down 1462 01:18:27,880 --> 01:18:29,240 Speaker 1: anything on a piece of paper to make sure I'm 1463 01:18:29,240 --> 01:18:32,120 Speaker 1: getting it all right, mad, But it does make sense. 1464 01:18:32,280 --> 01:18:35,439 Speaker 1: And what about when they actually bed? From what I've 1465 01:18:35,439 --> 01:18:38,479 Speaker 1: always understood, when they actually get in their bed, they 1466 01:18:38,560 --> 01:18:40,880 Speaker 1: typically like to be able to watch in front of 1467 01:18:40,920 --> 01:18:42,559 Speaker 1: them and then have the wind come over their back 1468 01:18:42,600 --> 01:18:44,919 Speaker 1: so they can smell what's behind them. Is that consistent 1469 01:18:44,960 --> 01:18:49,440 Speaker 1: with what you've what you believe or what you've seen, Yeah, definitely, okay. 1470 01:18:49,840 --> 01:18:51,559 Speaker 1: And then the other thing is when the buck comes 1471 01:18:51,560 --> 01:18:55,800 Speaker 1: into bed. You know, you you might have say, twenty 1472 01:18:55,880 --> 01:18:59,680 Speaker 1: acres of betting cover, but I believe that an individual 1473 01:18:59,720 --> 01:19:03,760 Speaker 1: buck has a specific location within that twenty acres that 1474 01:19:03,840 --> 01:19:06,160 Speaker 1: he wants to bed when the winds in a certain directions, 1475 01:19:06,680 --> 01:19:10,000 Speaker 1: and he might have a totally different location to bed 1476 01:19:10,040 --> 01:19:14,400 Speaker 1: if the winds in a different direction. Yeah, so does that? 1477 01:19:14,600 --> 01:19:16,960 Speaker 1: Is that a big factor? Then when you're choosing where 1478 01:19:17,000 --> 01:19:19,000 Speaker 1: to hunt on a given day or a given evening 1479 01:19:19,120 --> 01:19:22,040 Speaker 1: or whatever, are you thinking, Okay, based on this wind direction, 1480 01:19:22,520 --> 01:19:24,760 Speaker 1: where will this buck most likely want to be? Is 1481 01:19:24,760 --> 01:19:28,200 Speaker 1: that something you try to figure out before the season starts. Yeah, 1482 01:19:28,320 --> 01:19:30,800 Speaker 1: and and more, let's based on past year's experience. But 1483 01:19:30,880 --> 01:19:33,479 Speaker 1: when I go on to stand first of all, the 1484 01:19:33,479 --> 01:19:36,559 Speaker 1: stand I picked for a specific hunt is all based 1485 01:19:36,560 --> 01:19:39,640 Speaker 1: on the wind direction. But I'm expecting a buck to 1486 01:19:39,720 --> 01:19:43,240 Speaker 1: do an exact thing. I'm expecting to be better than 1487 01:19:43,240 --> 01:19:47,599 Speaker 1: an exact location, And I'm expecting him to get up 1488 01:19:47,600 --> 01:19:50,680 Speaker 1: and head to a specific feeding area. And then I 1489 01:19:50,760 --> 01:19:53,400 Speaker 1: give him a wind that he that will allow him 1490 01:19:53,400 --> 01:19:56,320 Speaker 1: to do so and feel comfortable doing so. But yet 1491 01:19:56,560 --> 01:19:59,880 Speaker 1: it's set in such a way that he can't smell me. Yeah. 1492 01:20:00,280 --> 01:20:04,240 Speaker 1: And you know one phrase I've used as the winds 1493 01:20:04,320 --> 01:20:09,160 Speaker 1: almost wrong for me and almost right for the buck. Yeah. 1494 01:20:09,880 --> 01:20:13,639 Speaker 1: I just love this, like this like cat and mouse, 1495 01:20:13,840 --> 01:20:16,920 Speaker 1: little chest match of just trying to get these just 1496 01:20:17,080 --> 01:20:20,240 Speaker 1: in the right place based on you know, you're expecting 1497 01:20:20,240 --> 01:20:21,880 Speaker 1: a buck to be in a certain place, to go 1498 01:20:21,960 --> 01:20:24,679 Speaker 1: to a certain place in a certain way, and thinking 1499 01:20:24,680 --> 01:20:27,040 Speaker 1: through all these pieces and trying to get yourself in 1500 01:20:27,200 --> 01:20:29,920 Speaker 1: just the perfect location. Like that challenge right there is 1501 01:20:29,960 --> 01:20:33,880 Speaker 1: what gets me so excited talking about this stuff. And 1502 01:20:33,960 --> 01:20:36,719 Speaker 1: once it falls into place for you and you see 1503 01:20:36,720 --> 01:20:40,920 Speaker 1: it happening, and just each each successive buck becomes easier. 1504 01:20:41,840 --> 01:20:45,840 Speaker 1: And I think that most hunters, the wind is what 1505 01:20:45,960 --> 01:20:49,760 Speaker 1: keeps most hunters from consistently killing big deer. I think 1506 01:20:49,880 --> 01:20:54,559 Speaker 1: stand placement, most guys have that figured out. But once 1507 01:20:54,600 --> 01:20:57,439 Speaker 1: they've got their stand in place, then you need to 1508 01:20:57,439 --> 01:21:00,800 Speaker 1: wait for the right wind conditions to hunt. And I 1509 01:21:00,840 --> 01:21:02,840 Speaker 1: think most guys go in that they've hung their stand 1510 01:21:02,840 --> 01:21:06,679 Speaker 1: in the right location, but then they come back before 1511 01:21:06,720 --> 01:21:08,840 Speaker 1: the wind is right. They just come back whenever it's 1512 01:21:08,840 --> 01:21:10,479 Speaker 1: convenient for them. You know that I don't have to 1513 01:21:10,479 --> 01:21:12,920 Speaker 1: work Saturday, so Saturday morning, I'm gonna go hunt the stand. 1514 01:21:13,520 --> 01:21:15,320 Speaker 1: And they have no idea what the wind is going 1515 01:21:15,400 --> 01:21:17,160 Speaker 1: to be Saturday morning. Most of the time, they don't 1516 01:21:17,200 --> 01:21:19,960 Speaker 1: even have any idea what the wind direction is once 1517 01:21:19,960 --> 01:21:25,880 Speaker 1: they're sitting there, And you know, they think that the 1518 01:21:26,360 --> 01:21:29,040 Speaker 1: guys that are consistently killing mature bucks just know where 1519 01:21:29,080 --> 01:21:31,719 Speaker 1: to put their tree stands. But I think the average 1520 01:21:31,760 --> 01:21:33,640 Speaker 1: hunter really knows where to put his tree stands. I 1521 01:21:33,720 --> 01:21:37,320 Speaker 1: think it's these little tidbits like the wind. If they 1522 01:21:37,320 --> 01:21:40,960 Speaker 1: could just master the wind, then they'd be killing big 1523 01:21:40,960 --> 01:21:44,640 Speaker 1: deer consistently. And I don't know that really we we 1524 01:21:44,760 --> 01:21:47,719 Speaker 1: ever mastered I don't. I know, I haven't. I still, 1525 01:21:47,840 --> 01:21:52,160 Speaker 1: you know, every season I'm picking up you know new 1526 01:21:52,200 --> 01:21:55,040 Speaker 1: things about the wind, especially as you have new properties. 1527 01:21:55,040 --> 01:21:57,479 Speaker 1: You gotta realize what the wind is doing from a 1528 01:21:57,479 --> 01:22:00,560 Speaker 1: particular stand. You may think that it's going out of 1529 01:22:00,600 --> 01:22:02,160 Speaker 1: the south and you get to your stand and it's 1530 01:22:02,200 --> 01:22:05,719 Speaker 1: actually boring out of the north from from that exact 1531 01:22:05,800 --> 01:22:10,280 Speaker 1: location as it swirls around, or or you know, something 1532 01:22:10,280 --> 01:22:14,240 Speaker 1: like that. Almost get the working, but you always you've 1533 01:22:14,240 --> 01:22:18,200 Speaker 1: gotta master where you're since going while you're in a stand, 1534 01:22:18,280 --> 01:22:20,240 Speaker 1: and how that's going to affect the buck that you 1535 01:22:20,320 --> 01:22:25,040 Speaker 1: expect to pass by. Yeah, yeah, it's um. It's not 1536 01:22:25,120 --> 01:22:27,680 Speaker 1: something that you know you can just guess and it 1537 01:22:27,720 --> 01:22:29,960 Speaker 1: will always be right. You really do. To your point, 1538 01:22:29,960 --> 01:22:32,000 Speaker 1: you have to check it when you're in your stand 1539 01:22:32,040 --> 01:22:35,040 Speaker 1: and pay attention to that and and consistently try to 1540 01:22:35,120 --> 01:22:36,639 Speaker 1: learn from this every time you go out and hunt, 1541 01:22:36,720 --> 01:22:38,680 Speaker 1: because it's it's not like you said something you can 1542 01:22:38,720 --> 01:22:44,240 Speaker 1: just easily master. It's a continual learning process. But once 1543 01:22:44,280 --> 01:22:46,800 Speaker 1: you get the basics figured out, and especially once you 1544 01:22:46,840 --> 01:22:49,080 Speaker 1: get that first mature buck to walk by doing what 1545 01:22:49,200 --> 01:22:51,960 Speaker 1: you thought he would do and what you're expecting to do, 1546 01:22:52,040 --> 01:22:54,280 Speaker 1: once you see it, and then it just then it 1547 01:22:54,320 --> 01:22:56,439 Speaker 1: starts to click, and then the next buck is a 1548 01:22:56,439 --> 01:22:59,000 Speaker 1: little bit easier, and before long, you know, every buck 1549 01:22:59,040 --> 01:23:00,920 Speaker 1: you kill, you've killed him on purpose because he did 1550 01:23:00,960 --> 01:23:03,720 Speaker 1: exactly what he was expecting him to do. Yeah, it's 1551 01:23:03,760 --> 01:23:07,680 Speaker 1: pretty cool and it starts falling into place, that's for sure. Yeah. Well, uh, 1552 01:23:08,000 --> 01:23:11,000 Speaker 1: we as much as I would like to keep on 1553 01:23:12,120 --> 01:23:13,960 Speaker 1: kind of picking your brain about these things, because I'm 1554 01:23:14,000 --> 01:23:16,240 Speaker 1: I'm pretty geeked right now. I'm enjoying this. Um, we 1555 01:23:16,320 --> 01:23:19,080 Speaker 1: are coming up on time and we've got to close 1556 01:23:19,160 --> 01:23:22,240 Speaker 1: things up. But done. If people want to learn more 1557 01:23:22,280 --> 01:23:23,800 Speaker 1: from you, you know, check out your books or any 1558 01:23:23,800 --> 01:23:25,320 Speaker 1: of the other things you're doing. Where can they go 1559 01:23:25,360 --> 01:23:29,000 Speaker 1: online to find that stuff? Well, my website is Higgins 1560 01:23:29,000 --> 01:23:31,680 Speaker 1: Outdoors dot com. It's h I G. G I M 1561 01:23:31,920 --> 01:23:35,720 Speaker 1: S outdoors dot com And I got a couple of 1562 01:23:35,720 --> 01:23:39,040 Speaker 1: books out do some consulting work and things like that, 1563 01:23:39,160 --> 01:23:43,120 Speaker 1: So I'd be glad to answer anyone's emails or or 1564 01:23:43,160 --> 01:23:45,960 Speaker 1: what have you. Awesome, Well, we will include a link 1565 01:23:46,040 --> 01:23:49,200 Speaker 1: to your website on this podcast blog posts, so if 1566 01:23:49,240 --> 01:23:50,680 Speaker 1: anyone listening, if you want to do that, which I 1567 01:23:50,760 --> 01:23:53,559 Speaker 1: highly recommend, I really recommend his books and really all 1568 01:23:53,560 --> 01:23:55,200 Speaker 1: the resources of the dons putting out there in his 1569 01:23:55,280 --> 01:23:57,960 Speaker 1: magazine articles. I mean, as you can tell after listening 1570 01:23:57,960 --> 01:24:00,080 Speaker 1: to him here for the last hour, it's top not 1571 01:24:00,240 --> 01:24:02,120 Speaker 1: She's got a lot to share, so definitely check that 1572 01:24:02,160 --> 01:24:05,479 Speaker 1: out and U done. Good luck this season, and thank 1573 01:24:05,560 --> 01:24:09,720 Speaker 1: you so much for joining us. Well, I appreciate the opportunity, 1574 01:24:09,760 --> 01:24:12,120 Speaker 1: Mark and Dan, and if you could ever use me again, 1575 01:24:12,200 --> 01:24:14,360 Speaker 1: don't hesitate to get a hold on me, whether it's 1576 01:24:14,400 --> 01:24:17,000 Speaker 1: a quote for a magazine or another podcast whatever, I'd 1577 01:24:17,040 --> 01:24:19,479 Speaker 1: be glad to help you out. Absolutely well. Careful what 1578 01:24:19,520 --> 01:24:22,160 Speaker 1: you offer because I will most likely take you up 1579 01:24:22,200 --> 01:24:24,639 Speaker 1: on it. Well, that sounds great. Hope you guys both 1580 01:24:24,680 --> 01:24:29,160 Speaker 1: have a good season, all right, thanks a lout Don. Alright, 1581 01:24:29,280 --> 01:24:33,240 Speaker 1: so there you have it. Another podcast episode in the 1582 01:24:33,320 --> 01:24:37,320 Speaker 1: books and I thought this was super interesting. I love 1583 01:24:37,400 --> 01:24:40,120 Speaker 1: Don's thoughts on the wind and the different trends you 1584 01:24:40,120 --> 01:24:42,920 Speaker 1: can learn from trail cameras and some cool tricks there 1585 01:24:42,920 --> 01:24:45,000 Speaker 1: and should think like using the rope for for scrapes 1586 01:24:45,040 --> 01:24:46,960 Speaker 1: and whatnot. I think we can all learn things or 1587 01:24:46,960 --> 01:24:49,559 Speaker 1: two here from Don. So. I hope you enjoyed the episode. 1588 01:24:49,880 --> 01:24:51,720 Speaker 1: I hope you found some things you can apply to 1589 01:24:51,760 --> 01:24:54,479 Speaker 1: the season that's upcoming, and that's coming pretty fast here, 1590 01:24:54,640 --> 01:24:59,000 Speaker 1: So enjoy the coming weeks, get out there, do your 1591 01:24:59,040 --> 01:25:02,759 Speaker 1: work in the meantime. If you haven't yet, we would 1592 01:25:02,840 --> 01:25:04,479 Speaker 1: love it, love it, love it. If you could take 1593 01:25:04,479 --> 01:25:07,240 Speaker 1: a quick second to leave a rating or review on iTunes, 1594 01:25:07,320 --> 01:25:10,320 Speaker 1: we really appreciate that. If you haven't subscribed yet, we 1595 01:25:10,400 --> 01:25:14,240 Speaker 1: also think that's a great idea and um, you know, 1596 01:25:14,439 --> 01:25:16,639 Speaker 1: otherwise I think we just need to shut it down here. 1597 01:25:16,800 --> 01:25:18,639 Speaker 1: Of course, you'd like to thank our partners who helped 1598 01:25:18,680 --> 01:25:22,120 Speaker 1: make the Wired Hunt podcast possible, so big thank you too, 1599 01:25:22,280 --> 01:25:27,440 Speaker 1: sick A Gear, Trophy, Ridge Bear Archery, Redneck Blinds, Hunter A, Maps, Ozonics, 1600 01:25:27,520 --> 01:25:31,120 Speaker 1: Carbon Express, La Cross Boots, and the White Tail Institute 1601 01:25:31,400 --> 01:25:35,719 Speaker 1: of North America. And of course, and most importantly, thank 1602 01:25:35,760 --> 01:25:38,280 Speaker 1: you all for joining us today. We appreciate your time. 1603 01:25:38,439 --> 01:25:41,000 Speaker 1: We appreciate your feedback, and we appreciate the fact that 1604 01:25:41,040 --> 01:25:42,960 Speaker 1: you take a little time out of your day to 1605 01:25:43,000 --> 01:25:45,240 Speaker 1: hang out with us, to talk dear, to learn a 1606 01:25:45,280 --> 01:25:48,080 Speaker 1: few new things, so I have a great week and 1607 01:25:48,280 --> 01:25:49,960 Speaker 1: stay wired to hunt.