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 --> 00:00:17,800 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:17,800 --> 00:00:20,960 Speaker 1: your host Mark Kenyan, and this is episode number twenty six. 5 00:00:21,480 --> 00:00:23,560 Speaker 1: Today in the show, Dan and I are diving into 6 00:00:23,560 --> 00:00:26,360 Speaker 1: the topic of weather and how it influences white tail 7 00:00:26,400 --> 00:00:30,280 Speaker 1: behavior and hunting. It's a timely and important discussion, so 8 00:00:30,320 --> 00:00:47,440 Speaker 1: settle in and enjoy. All right, Welcome to the Wired 9 00:00:47,520 --> 00:00:51,320 Speaker 1: to Hunt podcast. Here's me today, is my co host 10 00:00:51,520 --> 00:00:54,520 Speaker 1: Dan Johnson. What's going on? My friend? You know, I'm 11 00:00:54,560 --> 00:00:59,080 Speaker 1: having a pretty good day. Monday was better than Sunday, 12 00:00:59,600 --> 00:01:04,360 Speaker 1: and Sunday was better than my Saturday. So I don't 13 00:01:04,360 --> 00:01:06,840 Speaker 1: know what that means or if that what that? Yeah, 14 00:01:06,840 --> 00:01:08,240 Speaker 1: I really just don't know what that means. I'm having 15 00:01:08,280 --> 00:01:10,080 Speaker 1: a good day. How about that? Yeah, I don't know 16 00:01:10,080 --> 00:01:11,560 Speaker 1: what any of that means either, but I'm glad to 17 00:01:11,600 --> 00:01:14,640 Speaker 1: hear it. But it's kind of weird because usually I 18 00:01:14,640 --> 00:01:19,400 Speaker 1: feel like your Mondays and Tuesdays are bad versus your weekends. So, um, 19 00:01:19,440 --> 00:01:21,720 Speaker 1: in about two minutes, I'm gonna ask you why, because 20 00:01:21,720 --> 00:01:23,880 Speaker 1: I want to hear about what happened this weekend, and 21 00:01:23,880 --> 00:01:25,520 Speaker 1: I think that's gonna be pretty relevant to what we're 22 00:01:25,680 --> 00:01:29,319 Speaker 1: talking about today too. Um. But I'm doing all right 23 00:01:29,360 --> 00:01:31,800 Speaker 1: too over here or here in Michigan. Have been hunting 24 00:01:31,800 --> 00:01:36,520 Speaker 1: the last four days, taking today off and uh, try 25 00:01:36,560 --> 00:01:38,400 Speaker 1: and do some work. Got a whole bunch of crazy 26 00:01:38,400 --> 00:01:42,000 Speaker 1: work projects going on. So before we started recording, it 27 00:01:42,040 --> 00:01:44,959 Speaker 1: sounds like you have your handful on a couple of things. Yeah, 28 00:01:45,000 --> 00:01:47,360 Speaker 1: you know, no rest for the worry. But I can't 29 00:01:47,360 --> 00:01:50,680 Speaker 1: complain doing mostly things that I'm excited about. So that's good. 30 00:01:50,920 --> 00:01:53,760 Speaker 1: That's life though, right. Life is a lot of work, 31 00:01:54,200 --> 00:01:56,720 Speaker 1: that is a fact, my friend. And you don't even 32 00:01:56,720 --> 00:01:59,240 Speaker 1: have a kid yet, so wait for your mind to 33 00:01:59,280 --> 00:02:01,920 Speaker 1: get blown and in later on in life. I'm telling 34 00:02:01,920 --> 00:02:03,720 Speaker 1: you what. It scares the heck out of me. I'll 35 00:02:03,720 --> 00:02:06,720 Speaker 1: tell you that I don't know how it's possible. It should, 36 00:02:06,920 --> 00:02:13,480 Speaker 1: it should? Oh the things to look forward to, right right? Right? Jeez, Well, 37 00:02:13,600 --> 00:02:16,560 Speaker 1: let's let's dive into it. Um. The main topic I 38 00:02:16,600 --> 00:02:20,400 Speaker 1: wanted to talk about today is weather and how weather 39 00:02:20,440 --> 00:02:23,799 Speaker 1: affects hunting and white tail behavior and all those different things. 40 00:02:23,840 --> 00:02:25,760 Speaker 1: And so there's a whole slew topics we can talk 41 00:02:25,760 --> 00:02:28,239 Speaker 1: about within this um. But I think it fits in 42 00:02:28,360 --> 00:02:31,600 Speaker 1: perfectly because of what happened over the past weekend, which 43 00:02:31,720 --> 00:02:33,880 Speaker 1: was your first weekend of hunting and my first weekend 44 00:02:33,880 --> 00:02:37,400 Speaker 1: of hunting in Michigan. And if you're beginning the season 45 00:02:37,440 --> 00:02:40,400 Speaker 1: is anything like mine, faced a lot of adverse weather 46 00:02:40,560 --> 00:02:43,480 Speaker 1: or at least interesting weather conditions that affected, you know, 47 00:02:43,560 --> 00:02:46,040 Speaker 1: how dear moved and behaved, and how we had to hunt, 48 00:02:46,080 --> 00:02:48,880 Speaker 1: at least I did. So maybe before we start talking 49 00:02:48,880 --> 00:02:52,280 Speaker 1: about the nuts and bolts of weather, let's first talk 50 00:02:52,320 --> 00:02:56,000 Speaker 1: about our first weekend of hunting. UM, let's hear it 51 00:02:56,040 --> 00:02:58,880 Speaker 1: for you Dan, what happened these first couple of hunts. 52 00:02:59,520 --> 00:03:03,280 Speaker 1: I kill the Iowa state record and then I woke 53 00:03:03,400 --> 00:03:09,600 Speaker 1: up m I. Uh, I was pretty pumped Friday after work, 54 00:03:09,720 --> 00:03:12,120 Speaker 1: I took the hour drive south. I got out a 55 00:03:12,120 --> 00:03:15,560 Speaker 1: little work a little bit early, convinced my manager that 56 00:03:16,840 --> 00:03:18,800 Speaker 1: it was an emergency and I had to leave work 57 00:03:19,440 --> 00:03:23,560 Speaker 1: and uh so, which in my eyes, it was sure sure, 58 00:03:23,680 --> 00:03:26,640 Speaker 1: you know, I um had everything ready in my truck, 59 00:03:26,680 --> 00:03:29,960 Speaker 1: got to the location where I was gonna hunt, you know, 60 00:03:30,080 --> 00:03:33,200 Speaker 1: through on my scent free close. I threw on my 61 00:03:33,240 --> 00:03:36,160 Speaker 1: pack and the tree stand and was my first running 62 00:03:36,160 --> 00:03:39,400 Speaker 1: gun of the year, jumped into the timber, got set up, 63 00:03:40,120 --> 00:03:43,000 Speaker 1: you know, hung the camera arm and the ozonics and 64 00:03:43,040 --> 00:03:46,120 Speaker 1: all that stuff up in the tree, and UH sat 65 00:03:46,160 --> 00:03:50,160 Speaker 1: down and it was like this gigantic realization that the 66 00:03:50,240 --> 00:03:54,720 Speaker 1: season has started. And at the same time it's just like, 67 00:03:54,800 --> 00:03:57,480 Speaker 1: oh no, that means it's it's gonna go by real fast, 68 00:03:57,600 --> 00:04:00,520 Speaker 1: you know, just like every other season has ever gone 69 00:04:00,560 --> 00:04:04,760 Speaker 1: for me. So I was in the stand, it was 70 00:04:05,000 --> 00:04:07,680 Speaker 1: it was really windy, and it was really cold for 71 00:04:08,000 --> 00:04:10,920 Speaker 1: you know, early October, as most of our listeners know. 72 00:04:11,640 --> 00:04:14,600 Speaker 1: And Uh, I was loving every minute of it. But 73 00:04:15,280 --> 00:04:20,000 Speaker 1: I had had three doughs come in. After probably about 74 00:04:20,040 --> 00:04:23,039 Speaker 1: forty minutes in the stand, plenty of shooting light left, 75 00:04:23,600 --> 00:04:31,440 Speaker 1: and UH and I tried to film, uh myself shoot 76 00:04:31,440 --> 00:04:34,960 Speaker 1: one of these three doughs that came through. And it's 77 00:04:35,000 --> 00:04:37,440 Speaker 1: typically not a problem for most hunters, but when you're 78 00:04:37,440 --> 00:04:40,360 Speaker 1: trying to film yourself, that always adds an extra element 79 00:04:40,520 --> 00:04:44,279 Speaker 1: of you know, things, something to do, or something that 80 00:04:44,279 --> 00:04:47,279 Speaker 1: could go wrong. But I actually had the dos too 81 00:04:47,320 --> 00:04:50,599 Speaker 1: close to me, so every time they would move, even 82 00:04:51,040 --> 00:04:55,479 Speaker 1: the camera fully zoomed back, I was having problems getting 83 00:04:55,480 --> 00:04:57,680 Speaker 1: the deer on camera. So I couldn't shoot, and they 84 00:04:57,720 --> 00:05:00,960 Speaker 1: ended up working their self away. And you know, I 85 00:05:01,000 --> 00:05:04,599 Speaker 1: really wasn't too worried about it, about killing right off 86 00:05:04,600 --> 00:05:07,159 Speaker 1: the bat, because I knew the next morning, at the 87 00:05:07,200 --> 00:05:10,039 Speaker 1: same stand location they'd be working their way back from 88 00:05:11,440 --> 00:05:16,480 Speaker 1: from the fields. So I got I let those deer 89 00:05:16,480 --> 00:05:20,320 Speaker 1: walk by. I witnessed one of the greatest dough fights 90 00:05:20,920 --> 00:05:25,080 Speaker 1: I've ever seen in my life. Really, I watched a 91 00:05:25,200 --> 00:05:28,280 Speaker 1: dough beat the crap out of another dough. At one 92 00:05:28,279 --> 00:05:30,640 Speaker 1: point the other dough was kind of in a fetal position. 93 00:05:32,400 --> 00:05:34,600 Speaker 1: It was crazy, It was pretty It was pretty cool 94 00:05:34,600 --> 00:05:40,240 Speaker 1: to see. Then closer towards dark, three small small bucks 95 00:05:40,279 --> 00:05:44,200 Speaker 1: came through. I call him Larry's um. They came through 96 00:05:44,520 --> 00:05:49,120 Speaker 1: and we uh. Next thing I know, it was getting dark. 97 00:05:49,279 --> 00:05:52,240 Speaker 1: Made my way out of stand. Next morning, came back 98 00:05:52,279 --> 00:05:55,040 Speaker 1: to the same stand location, and typically I leave everything 99 00:05:55,040 --> 00:05:58,080 Speaker 1: in the tree, my bow. Um. The only thing I 100 00:05:58,160 --> 00:06:01,680 Speaker 1: take off out is the camera, uh man, my ozonics 101 00:06:01,720 --> 00:06:04,520 Speaker 1: battery and put it in the pack and that way 102 00:06:04,520 --> 00:06:07,840 Speaker 1: I can charge everything. Come back to the stand. Uh 103 00:06:09,320 --> 00:06:12,719 Speaker 1: Al saw one dough in the distance, and then right oh, 104 00:06:12,839 --> 00:06:16,200 Speaker 1: probably eight o'clock or quarter to eight, a small buck 105 00:06:16,279 --> 00:06:20,720 Speaker 1: came through. Um I didn't even stand up for him, 106 00:06:20,800 --> 00:06:25,159 Speaker 1: just kinda watched him work his way through. Then maybe 107 00:06:25,320 --> 00:06:28,760 Speaker 1: five minutes later, real close to eight, Doe came through, 108 00:06:29,240 --> 00:06:33,200 Speaker 1: and uh, I stood up long story short, drew back 109 00:06:33,960 --> 00:06:38,719 Speaker 1: and I smoked her. I mean, I was watching the 110 00:06:38,760 --> 00:06:41,240 Speaker 1: sun was she was coming from the east, so the 111 00:06:41,279 --> 00:06:44,520 Speaker 1: sun was coming up. I hit her. She was slightly 112 00:06:44,600 --> 00:06:47,279 Speaker 1: quartering away. I hit her maybe just a little bit forward, 113 00:06:47,920 --> 00:06:51,680 Speaker 1: and uh, bloody instantly, you can see blood. She ran 114 00:06:51,720 --> 00:06:54,080 Speaker 1: off with my arrow still in her. It wasn't a 115 00:06:54,080 --> 00:06:56,599 Speaker 1: pass through. I think I hit opposite side, shoulder or 116 00:06:56,600 --> 00:07:01,119 Speaker 1: a bone or something. And uh, I gave her thirty 117 00:07:01,160 --> 00:07:03,839 Speaker 1: minutes and I curled down out of my tree stand 118 00:07:04,400 --> 00:07:08,120 Speaker 1: and I go look for blood, and there's a ton 119 00:07:08,160 --> 00:07:10,400 Speaker 1: of it. I mean there's chunks of her lung laying 120 00:07:10,400 --> 00:07:15,000 Speaker 1: in this blood. And I had I'm like, okay, this 121 00:07:15,400 --> 00:07:17,440 Speaker 1: does at the bottom of this little gullie here, I'm 122 00:07:17,440 --> 00:07:18,960 Speaker 1: just gonna have to drag her up to my truck. 123 00:07:19,080 --> 00:07:25,960 Speaker 1: That's it. That was not the case. I followed blood heavy, heavy, 124 00:07:26,040 --> 00:07:29,040 Speaker 1: But this is the most blood I've ever had on 125 00:07:29,080 --> 00:07:34,240 Speaker 1: a deer I've ever shot, and I've had some pretty gruesome, 126 00:07:34,320 --> 00:07:36,600 Speaker 1: like I don't want to say gruesome, but really good 127 00:07:36,640 --> 00:07:41,520 Speaker 1: blood trails for years. This one just it looked like 128 00:07:41,560 --> 00:07:44,720 Speaker 1: someone was dumping little buckets buckets of it. I mean 129 00:07:44,760 --> 00:07:47,920 Speaker 1: it was piled there after thirty minutes, it wasn't even 130 00:07:48,000 --> 00:07:51,280 Speaker 1: dry yet, I mean still pools of it. So I 131 00:07:51,280 --> 00:07:55,880 Speaker 1: followed it for about seventy yards. Then I went back 132 00:07:55,880 --> 00:07:58,080 Speaker 1: to my truck, dropped off all my stuff, came back, 133 00:07:58,720 --> 00:08:01,720 Speaker 1: and I don't know if I jump or what happened, 134 00:08:02,080 --> 00:08:05,080 Speaker 1: but I followed really good blood for a total of 135 00:08:05,120 --> 00:08:08,480 Speaker 1: a d fifty yards and then it just stopped. And 136 00:08:08,480 --> 00:08:10,520 Speaker 1: then it just started dripping. And then that's where I 137 00:08:10,520 --> 00:08:14,160 Speaker 1: had to slow myself down and find these little drips 138 00:08:15,160 --> 00:08:19,720 Speaker 1: for another hundred fifty yards and then it then it stopped. 139 00:08:21,160 --> 00:08:24,960 Speaker 1: Then it just it was done. And so I kind 140 00:08:24,960 --> 00:08:27,960 Speaker 1: of did some kind of you know trying, you know, 141 00:08:28,000 --> 00:08:31,240 Speaker 1: trying to triangulate the position of where the deer was 142 00:08:31,360 --> 00:08:35,679 Speaker 1: going from the blood trail, and I ended up gritting 143 00:08:35,720 --> 00:08:41,679 Speaker 1: about forty acres of some grass and some thick pines 144 00:08:41,720 --> 00:08:44,760 Speaker 1: and stuff where she was at no blood. And I 145 00:08:45,080 --> 00:08:49,640 Speaker 1: looked for for probably a total of five hours. Oh man, 146 00:08:50,240 --> 00:08:52,079 Speaker 1: And sorry to hear about that, damn man. That is 147 00:08:52,120 --> 00:08:54,840 Speaker 1: the worst. It is it really it threw me off 148 00:08:54,880 --> 00:08:57,480 Speaker 1: because I had a bad experience at the very end 149 00:08:57,520 --> 00:09:00,200 Speaker 1: of last year where I shot you know, I shot 150 00:09:00,280 --> 00:09:03,240 Speaker 1: my buck but never found him. Luckily he made it back. 151 00:09:03,600 --> 00:09:06,280 Speaker 1: I know, this buck, this uh, this dear's dead. The 152 00:09:06,280 --> 00:09:10,680 Speaker 1: amount of blood and where I hit her, you know, 153 00:09:11,000 --> 00:09:13,600 Speaker 1: I'm pretty sure I got one long but the amount 154 00:09:13,600 --> 00:09:18,200 Speaker 1: of blood. It just I am in shock from that. 155 00:09:18,320 --> 00:09:21,480 Speaker 1: This deer is not at that is not dead, you know, 156 00:09:21,960 --> 00:09:24,920 Speaker 1: at the bottom of that hill. Still, I don't understand. 157 00:09:25,920 --> 00:09:29,160 Speaker 1: It is unbelievable what these deer can live through. I mean, 158 00:09:29,520 --> 00:09:31,960 Speaker 1: there's so many examples from my own experience, I'm sure 159 00:09:31,960 --> 00:09:34,240 Speaker 1: from years and from those that we've heard from mothers. 160 00:09:34,240 --> 00:09:36,720 Speaker 1: I mean, the shots that these deer can take and 161 00:09:36,800 --> 00:09:40,599 Speaker 1: live through, it was just nuts. Yeah. Yeah, I I 162 00:09:41,520 --> 00:09:43,440 Speaker 1: don't even know what to say or how to explain it. 163 00:09:43,559 --> 00:09:47,240 Speaker 1: I mean, I drilled her in the front shoulder, quartering away. 164 00:09:47,840 --> 00:09:51,319 Speaker 1: I mean, my my arrow hit her. I I'm pulling 165 00:09:51,360 --> 00:09:54,480 Speaker 1: back eighty pounds, I'm shooting a full metal jacket and 166 00:09:54,559 --> 00:09:57,679 Speaker 1: that's a heavy arrow. Okay, so I have a ton 167 00:09:57,679 --> 00:10:00,360 Speaker 1: of kinetic energy. I hit her square in the shoulder, 168 00:10:01,040 --> 00:10:03,240 Speaker 1: went through her shoulder didn't go all the way through, 169 00:10:03,280 --> 00:10:04,720 Speaker 1: so I must have hit a bone on the other side. 170 00:10:04,760 --> 00:10:07,079 Speaker 1: It knocked her to the ground. She had to get 171 00:10:07,120 --> 00:10:12,719 Speaker 1: back up then run again. Wow. So I just I 172 00:10:12,760 --> 00:10:14,880 Speaker 1: don't know what to say. I'm and I sat there 173 00:10:15,040 --> 00:10:17,760 Speaker 1: and I went home after I looked for three hours, 174 00:10:18,760 --> 00:10:21,640 Speaker 1: and I'm like, do I go hunting again? And everybody 175 00:10:21,720 --> 00:10:24,640 Speaker 1: I kind of talked to was like, you know, just 176 00:10:24,640 --> 00:10:28,079 Speaker 1: just go hunting again. Just go hunting again. And I'm like, okay, Well, 177 00:10:28,960 --> 00:10:32,120 Speaker 1: then I'll look for Sunday morning after I after I 178 00:10:32,200 --> 00:10:35,000 Speaker 1: hunt Saturday or sun after I get done with my 179 00:10:35,600 --> 00:10:37,560 Speaker 1: Sunday morning hunt, I was gonna go back and look 180 00:10:37,600 --> 00:10:41,640 Speaker 1: for her, and I want to go shoot my bow, 181 00:10:43,200 --> 00:10:47,640 Speaker 1: and my bow missed at twenty yards. My bow missed 182 00:10:47,800 --> 00:10:52,640 Speaker 1: my target at like by a foot a foot and 183 00:10:52,640 --> 00:10:57,240 Speaker 1: a half. So so on my way out or while 184 00:10:57,280 --> 00:10:59,319 Speaker 1: I was checking blood trail, my peep side I think 185 00:10:59,360 --> 00:11:02,720 Speaker 1: got caught on something and it pulled it and so 186 00:11:02,760 --> 00:11:05,480 Speaker 1: now my peep site is loose, and when I draw back, 187 00:11:05,679 --> 00:11:09,080 Speaker 1: my peep site was rotating in the string. So I'm like, 188 00:11:09,120 --> 00:11:10,880 Speaker 1: I can't I'm not even gonna go out because I 189 00:11:10,960 --> 00:11:12,800 Speaker 1: don't have I'm not accurate. I need to go to 190 00:11:12,840 --> 00:11:17,280 Speaker 1: the shop and get it fixed. And um so then 191 00:11:17,440 --> 00:11:19,720 Speaker 1: instead of going hunting, I went out for an additional 192 00:11:19,760 --> 00:11:23,160 Speaker 1: two hours looking for this deer. So kind of a 193 00:11:23,280 --> 00:11:26,960 Speaker 1: nightmare scenario, right, So Murphy's law, you know, anything bad 194 00:11:27,040 --> 00:11:31,360 Speaker 1: that can happen will happen. I guess see, it's all 195 00:11:31,400 --> 00:11:33,199 Speaker 1: out of the way. That's I was gonna say, hopefully 196 00:11:33,200 --> 00:11:34,560 Speaker 1: this is the worst of it, and it's all up 197 00:11:34,600 --> 00:11:37,280 Speaker 1: hill or downhill or whatever whatever is better for being 198 00:11:37,280 --> 00:11:42,600 Speaker 1: here now, right right, But I mean, taking to touch 199 00:11:42,679 --> 00:11:46,080 Speaker 1: briefly on what happened in regards to wounding a deer 200 00:11:46,080 --> 00:11:48,480 Speaker 1: and not finding it, I mean that is one of 201 00:11:48,480 --> 00:11:51,400 Speaker 1: the most difficult things for a hunter to go through 202 00:11:51,800 --> 00:11:54,800 Speaker 1: because I think, I'm sure you're just the same as 203 00:11:54,840 --> 00:11:57,240 Speaker 1: me in this that that is the worst thing you 204 00:11:57,240 --> 00:11:59,960 Speaker 1: could possibly do. And of course it's not on purpose. 205 00:12:00,040 --> 00:12:02,360 Speaker 1: It's an accident. It's a mistake, and mistakes happen. But 206 00:12:02,400 --> 00:12:05,000 Speaker 1: it feels pretty darn It feels awful to have wounded 207 00:12:05,000 --> 00:12:06,839 Speaker 1: a deer to have not been able to give it 208 00:12:06,880 --> 00:12:10,240 Speaker 1: a quick ending. Um it's it's the last thing you 209 00:12:10,280 --> 00:12:14,120 Speaker 1: want to do. And we all prepare vigorously throughout the 210 00:12:14,120 --> 00:12:15,760 Speaker 1: off season to make sure we can put the best 211 00:12:15,760 --> 00:12:19,760 Speaker 1: shot possible on deer um. But the reality of life 212 00:12:19,800 --> 00:12:23,360 Speaker 1: is that things don't always go as planned, and things 213 00:12:23,440 --> 00:12:26,400 Speaker 1: happen differently in the real world. Right It's it's kind 214 00:12:26,400 --> 00:12:29,280 Speaker 1: of a reality of it. And the interesting thing though, 215 00:12:29,280 --> 00:12:31,680 Speaker 1: and where I'm kind of going with all this, is 216 00:12:31,760 --> 00:12:34,400 Speaker 1: that these things happen. We never want them to happen. 217 00:12:34,480 --> 00:12:36,600 Speaker 1: We do everything we possibly can do to make sure 218 00:12:36,640 --> 00:12:39,600 Speaker 1: they don't happen, but they do. Inevitably. If you hunt 219 00:12:39,600 --> 00:12:44,839 Speaker 1: long enough, you're going to wound a deer. And what 220 00:12:44,960 --> 00:12:50,400 Speaker 1: I find very disconcerting is that when people share their 221 00:12:50,440 --> 00:12:53,040 Speaker 1: stories of wounding, of this happening. You know, in this case, 222 00:12:53,080 --> 00:12:54,680 Speaker 1: you're talking about the fact that you shot this dough 223 00:12:54,720 --> 00:12:58,480 Speaker 1: and weren't able to find her or maybe someone you know, 224 00:12:58,520 --> 00:13:01,199 Speaker 1: there's footage of someone hunting, they hit a deer, they're 225 00:13:01,240 --> 00:13:04,319 Speaker 1: not able to recover them. Of course, they've done everything 226 00:13:04,360 --> 00:13:07,040 Speaker 1: they possibly could do to prepare to get a good 227 00:13:07,040 --> 00:13:08,880 Speaker 1: shot in a deer. They've done everything they could do 228 00:13:09,320 --> 00:13:12,079 Speaker 1: to recover that deer. But as I said, things happen. 229 00:13:12,280 --> 00:13:15,160 Speaker 1: But there's so many people, especially online today, where you 230 00:13:15,160 --> 00:13:17,680 Speaker 1: can make comments and say things with no you know, 231 00:13:17,720 --> 00:13:19,640 Speaker 1: without saying who you are, or without being in front 232 00:13:19,640 --> 00:13:23,120 Speaker 1: of someone. People are so quick to judge and attack 233 00:13:23,760 --> 00:13:29,520 Speaker 1: people about this. It's unbelievable, um, and it's it's gotten 234 00:13:29,520 --> 00:13:32,320 Speaker 1: the point that I I've gotten really frustrated with it 235 00:13:32,360 --> 00:13:34,200 Speaker 1: because we've had a couple of videos that we've posted 236 00:13:34,240 --> 00:13:36,680 Speaker 1: where a couple of different team members have you know, 237 00:13:36,880 --> 00:13:38,920 Speaker 1: put shots on a deer and weren't able to recover it. 238 00:13:39,400 --> 00:13:42,280 Speaker 1: And these are good quality hunters, are good people who 239 00:13:42,280 --> 00:13:45,080 Speaker 1: work really hard and you know, a mistake happened, or 240 00:13:45,120 --> 00:13:47,480 Speaker 1: something happened, things didn't go right. They did everything they 241 00:13:47,480 --> 00:13:49,600 Speaker 1: possibly could do to recover that deer, and there are 242 00:13:49,679 --> 00:13:52,640 Speaker 1: hundreds of people talking about how horrible this person is, 243 00:13:52,679 --> 00:13:54,560 Speaker 1: how this person should never be hunting, how this person 244 00:13:54,600 --> 00:13:56,880 Speaker 1: has no idea what they're doing, all these different things, 245 00:13:57,000 --> 00:13:59,400 Speaker 1: and it's just unbelievable the amount of vitriol out there 246 00:13:59,720 --> 00:14:04,080 Speaker 1: when comes to what people can say and judge people by, um, 247 00:14:04,120 --> 00:14:07,160 Speaker 1: from the other side of a computer screen. Right keep 248 00:14:07,440 --> 00:14:11,200 Speaker 1: what God? What was what's the term when somebody's a 249 00:14:11,240 --> 00:14:13,760 Speaker 1: monster behind the keyboard? I don't know what the term is, 250 00:14:13,840 --> 00:14:17,760 Speaker 1: but yeah, they're no they're like they're they think they're 251 00:14:17,760 --> 00:14:21,120 Speaker 1: tough behind the keyboard, but then you know they know 252 00:14:21,200 --> 00:14:23,080 Speaker 1: the same people who probably judge you for being a 253 00:14:23,120 --> 00:14:27,560 Speaker 1: poor hunter hunt maybe one day a year, and I 254 00:14:27,680 --> 00:14:31,160 Speaker 1: think they're the they're the king of it all. So 255 00:14:31,720 --> 00:14:33,440 Speaker 1: there's a couple of forums I'm not going to say 256 00:14:33,480 --> 00:14:38,160 Speaker 1: the names that I went on one time and asked 257 00:14:38,760 --> 00:14:43,280 Speaker 1: a simple question, I'm looking to get new arrows? What 258 00:14:43,280 --> 00:14:47,400 Speaker 1: what arrows should I get? And the first two comments were, Hey, 259 00:14:47,440 --> 00:14:49,840 Speaker 1: I used this I really like I used this product. 260 00:14:49,920 --> 00:14:53,040 Speaker 1: The second comment was, hey, I used this one. Um, 261 00:14:53,080 --> 00:14:55,080 Speaker 1: I've never used the other guys, but I hear both 262 00:14:55,080 --> 00:14:56,960 Speaker 1: are good. The third one and the fourth and the 263 00:14:56,960 --> 00:15:00,000 Speaker 1: fifth and the sixth were those are trash, Those are stwo. 264 00:15:00,040 --> 00:15:03,080 Speaker 1: But those are horrible, you know, more negative that So 265 00:15:03,160 --> 00:15:07,840 Speaker 1: I cancel my account and I don't do forms anymore. Yeah, 266 00:15:08,200 --> 00:15:10,000 Speaker 1: it's uh, I mean, we're going off on a huge 267 00:15:10,000 --> 00:15:12,360 Speaker 1: tangent here, but I mean there is just so much 268 00:15:12,520 --> 00:15:17,440 Speaker 1: negativity and judgment and pure just like I don't know, 269 00:15:17,480 --> 00:15:19,840 Speaker 1: a lot of ignorance too. It doesn't help the cause, 270 00:15:20,040 --> 00:15:22,120 Speaker 1: doesn't help the cause. And every one of these people 271 00:15:22,520 --> 00:15:25,000 Speaker 1: has made a mistake too, and every one of these people. 272 00:15:25,040 --> 00:15:27,080 Speaker 1: If you hunt long enough, regardless of how good a 273 00:15:27,120 --> 00:15:29,360 Speaker 1: shot you are or how regarreless of how hard you work, 274 00:15:29,600 --> 00:15:32,640 Speaker 1: these things happen. And I would just like to to 275 00:15:32,640 --> 00:15:35,960 Speaker 1: make a public service announcement here to everyone listening. You know, 276 00:15:37,560 --> 00:15:39,800 Speaker 1: don't be so fast to judge people. Of course, you know, 277 00:15:39,800 --> 00:15:42,640 Speaker 1: if there's someone who's going out there recklessly and and 278 00:15:42,680 --> 00:15:45,160 Speaker 1: who obviously isn't caring about what they're doing, of course 279 00:15:45,160 --> 00:15:47,080 Speaker 1: that's something to call out and talk to someone about that, 280 00:15:47,120 --> 00:15:49,320 Speaker 1: because we don't want that. That's not what quality hunters do. 281 00:15:49,440 --> 00:15:51,400 Speaker 1: That's not what we're all about here. Of course, we 282 00:15:51,440 --> 00:15:55,960 Speaker 1: want to respect the animal, prepare correctly, follow through correctly. Yes, 283 00:15:57,080 --> 00:16:00,120 Speaker 1: that is of utmost importance. But when mistakes have and 284 00:16:00,200 --> 00:16:02,440 Speaker 1: when things don't go quite as planned, don't be so 285 00:16:02,480 --> 00:16:04,600 Speaker 1: fast to judge others, because you know it could happen 286 00:16:04,600 --> 00:16:08,240 Speaker 1: to you. And um, I guess I'm really going on 287 00:16:08,280 --> 00:16:09,680 Speaker 1: a rant here, so I should probably bring it to 288 00:16:09,720 --> 00:16:11,960 Speaker 1: a close. You're fired up. I don't know if I 289 00:16:11,960 --> 00:16:14,280 Speaker 1: should interrupt you and say, hey, hey, Mark, let's talk 290 00:16:14,320 --> 00:16:17,560 Speaker 1: about weather in White Fills. Man. I'll tell you what. 291 00:16:17,600 --> 00:16:20,320 Speaker 1: There's just so much trash out there. So that's all 292 00:16:20,360 --> 00:16:23,880 Speaker 1: say on that front. Um. But the whole point of 293 00:16:23,880 --> 00:16:26,080 Speaker 1: this is that I'm sorry to hear about how things 294 00:16:26,120 --> 00:16:28,560 Speaker 1: went for you this weekend. Dan. I know that you 295 00:16:28,640 --> 00:16:31,080 Speaker 1: did everything you possibly could. I know you prepared correctly 296 00:16:31,120 --> 00:16:33,200 Speaker 1: for this, and this is the reality of hunting. It's 297 00:16:33,240 --> 00:16:36,400 Speaker 1: sometimes does not go away we wanted to, and I 298 00:16:36,480 --> 00:16:40,160 Speaker 1: know that I know that you'll make it right next time. Right, 299 00:16:41,720 --> 00:16:47,000 Speaker 1: So I'm sorry. Well, should I tell you about my 300 00:16:47,080 --> 00:16:50,880 Speaker 1: hunting season so far? All the trash that's out there? 301 00:16:51,520 --> 00:16:55,640 Speaker 1: Mark Kenyon, you can vent. That's what we're here for. Yeah, 302 00:16:55,680 --> 00:16:58,000 Speaker 1: you tell me. Tell me how was your weekend? Mark? 303 00:16:58,480 --> 00:17:05,640 Speaker 1: It was horrible? Right, No, but it was okay. Um, 304 00:17:05,720 --> 00:17:08,359 Speaker 1: So I got out hunting since we last yet. I 305 00:17:08,400 --> 00:17:10,879 Speaker 1: got out Wednesday night, which is opening night in Michigan, 306 00:17:11,440 --> 00:17:15,520 Speaker 1: and then Friday, Saturday, Sunday and Monday. So I got 307 00:17:15,520 --> 00:17:17,960 Speaker 1: a few hunts in. Um. I'll give you the quick 308 00:17:18,080 --> 00:17:21,040 Speaker 1: overview of of what happened and kind of the the 309 00:17:21,080 --> 00:17:25,119 Speaker 1: patterns and behavior I've seen so far. Opening night was 310 00:17:25,200 --> 00:17:27,240 Speaker 1: a relatively warm night, but there was a front coming 311 00:17:27,240 --> 00:17:29,480 Speaker 1: through the next day. I saw a bunch of doughs 312 00:17:29,800 --> 00:17:33,119 Speaker 1: and a couple of little bucks, I was hunting a 313 00:17:33,200 --> 00:17:36,000 Speaker 1: spot that we talked about I think last week. I 314 00:17:36,040 --> 00:17:37,680 Speaker 1: think it was last week when we know two weeks 315 00:17:37,720 --> 00:17:40,480 Speaker 1: ago we talked about early season setups and I talked 316 00:17:40,520 --> 00:17:42,760 Speaker 1: about this little not a little food plot, a little 317 00:17:42,840 --> 00:17:45,040 Speaker 1: well a decent food plot where I hunted and I 318 00:17:45,040 --> 00:17:48,680 Speaker 1: had an encounter with Leaner on this plot last year. Well, 319 00:17:48,680 --> 00:17:54,280 Speaker 1: this year, I expanded that plot by like, I added 320 00:17:54,320 --> 00:17:56,520 Speaker 1: a huge section to this air put in a lot 321 00:17:56,560 --> 00:17:59,200 Speaker 1: of time and effort to make this an incredible food 322 00:17:59,200 --> 00:18:02,320 Speaker 1: source and primarily a really great early season food source. 323 00:18:02,359 --> 00:18:04,600 Speaker 1: It's really closest betting area. I thought I'd be dynamite 324 00:18:05,480 --> 00:18:08,800 Speaker 1: and um it just it was sort of for for 325 00:18:08,920 --> 00:18:11,679 Speaker 1: Doze and as you call them, Larry's but no big Bucks. 326 00:18:11,800 --> 00:18:14,919 Speaker 1: But just as I was leaving and I had my Kylie, 327 00:18:15,000 --> 00:18:17,520 Speaker 1: my wife, they're filming me that night, and you know, 328 00:18:17,560 --> 00:18:19,400 Speaker 1: all the deer had cleared out from this area where 329 00:18:19,400 --> 00:18:21,280 Speaker 1: we were. It looked safe and ready to go. So 330 00:18:21,560 --> 00:18:24,040 Speaker 1: it's after dark. I quietly opened the door and as 331 00:18:24,040 --> 00:18:25,640 Speaker 1: I opened it, I was hunting from a box line. 332 00:18:25,640 --> 00:18:27,320 Speaker 1: As I opened the door of the box line, I 333 00:18:27,400 --> 00:18:30,800 Speaker 1: hear snort and crashing running away. So they have been 334 00:18:30,800 --> 00:18:33,720 Speaker 1: a deer near us that I hadn't seen. Well, since 335 00:18:33,760 --> 00:18:35,119 Speaker 1: I spooked the deer out, I knew there was no 336 00:18:35,160 --> 00:18:37,080 Speaker 1: other deer around, and I had a trail camera about 337 00:18:37,080 --> 00:18:39,040 Speaker 1: fifty yards away or sixty yards awayt I was like, 338 00:18:39,200 --> 00:18:40,720 Speaker 1: I might as well go there and pull that card. 339 00:18:41,119 --> 00:18:43,600 Speaker 1: So I pulled that card, checked it that night, and 340 00:18:43,640 --> 00:18:46,280 Speaker 1: the deer that I had spooked was actually a pretty 341 00:18:46,320 --> 00:18:51,160 Speaker 1: decent buck that was right there. Um, So that was disappointing. Um, 342 00:18:51,280 --> 00:18:53,240 Speaker 1: I don't think he was a shooter. I think he 343 00:18:53,280 --> 00:18:55,879 Speaker 1: was just a really nice two year old. Um. And 344 00:18:55,960 --> 00:18:57,640 Speaker 1: for me, I'm tiring three and a half year old, 345 00:18:57,680 --> 00:18:59,040 Speaker 1: So a two and a half year old I probably 346 00:18:59,040 --> 00:19:01,200 Speaker 1: wouldn't have shot. But you hate to educate a buck 347 00:19:01,280 --> 00:19:04,000 Speaker 1: like that that's going to grow into something nice someday. Well. 348 00:19:04,040 --> 00:19:06,359 Speaker 1: The good thing about that is if you established that 349 00:19:06,760 --> 00:19:09,840 Speaker 1: he wasn't a shooter, then you surely shouldn't care. And 350 00:19:09,880 --> 00:19:12,679 Speaker 1: then it's one of those bucks where you hope you 351 00:19:12,680 --> 00:19:15,400 Speaker 1: don't see him again, because if he's a teeter tier buck, 352 00:19:16,400 --> 00:19:18,000 Speaker 1: those are the bucks that you want to not see 353 00:19:18,080 --> 00:19:20,280 Speaker 1: during this season, maybe at a hundred yards and okay, 354 00:19:20,280 --> 00:19:23,239 Speaker 1: you still alive. That way, it won't wash wet your 355 00:19:23,240 --> 00:19:25,760 Speaker 1: whistles when he walks by and you're you're tempted to 356 00:19:25,760 --> 00:19:29,680 Speaker 1: shoot him. Yeah, very true. So that was opening night. Um. 357 00:19:29,720 --> 00:19:31,760 Speaker 1: A couple of nights later, I went back out Friday. 358 00:19:31,840 --> 00:19:34,840 Speaker 1: I had my buddy Dustin behind the camera. We went 359 00:19:34,880 --> 00:19:37,440 Speaker 1: back into one of my best areas on this Michigan 360 00:19:37,440 --> 00:19:40,680 Speaker 1: farm because big coold friend had hit. It had been 361 00:19:40,680 --> 00:19:43,400 Speaker 1: in the seventies the day before and we were down 362 00:19:43,400 --> 00:19:46,639 Speaker 1: into the low fifties by that evening. Um, so I 363 00:19:46,680 --> 00:19:48,480 Speaker 1: was feeling really good about getting in there, and we 364 00:19:48,520 --> 00:19:51,000 Speaker 1: had rain. It was just one of those days. I 365 00:19:51,040 --> 00:19:53,240 Speaker 1: absolutely love to hunt, and we'll talk more about that, 366 00:19:53,280 --> 00:19:56,480 Speaker 1: but weather it was perfect in my opinion for this 367 00:19:56,520 --> 00:19:59,080 Speaker 1: kind of hunt. In the early season, moved back to 368 00:19:59,119 --> 00:20:01,720 Speaker 1: this other area where there's a little tiny sliver of 369 00:20:01,800 --> 00:20:04,880 Speaker 1: beans that were still green that cut into this big swamp, 370 00:20:04,920 --> 00:20:06,600 Speaker 1: and then I have a little food plot of oats 371 00:20:06,600 --> 00:20:08,600 Speaker 1: next to that, and then I'm gonna kind of a 372 00:20:08,640 --> 00:20:10,960 Speaker 1: fence row in between with some thick timber and I 373 00:20:10,960 --> 00:20:13,200 Speaker 1: can see either side, and then on either side of 374 00:20:13,200 --> 00:20:15,879 Speaker 1: those two food sources, it's like I'm gonna stack. On 375 00:20:15,920 --> 00:20:18,240 Speaker 1: the far north is a big betting area, A little 376 00:20:18,280 --> 00:20:20,080 Speaker 1: farther south of that is this food plot. A little 377 00:20:20,080 --> 00:20:22,640 Speaker 1: farther south from that is my strip of timber where 378 00:20:22,640 --> 00:20:24,679 Speaker 1: I might stand. A little farther south of that is 379 00:20:24,720 --> 00:20:27,000 Speaker 1: this little tiny sliver beans, and then just south of 380 00:20:27,000 --> 00:20:29,960 Speaker 1: that is this big swamp. And so my wind was 381 00:20:30,000 --> 00:20:33,240 Speaker 1: blowing due west, so I can have my wind blowing 382 00:20:33,240 --> 00:20:35,040 Speaker 1: straight down the middle, and then all the deer coming 383 00:20:35,080 --> 00:20:37,640 Speaker 1: from north and south coming into the sandwich and where 384 00:20:37,640 --> 00:20:39,080 Speaker 1: I'm at in the middle. So it's a really sweet 385 00:20:39,080 --> 00:20:42,679 Speaker 1: setup with a west wind, and those beans, some of 386 00:20:42,680 --> 00:20:44,960 Speaker 1: them were still green, and so I had deer coming 387 00:20:44,960 --> 00:20:46,960 Speaker 1: to feed on both food sources on either side of me. 388 00:20:47,320 --> 00:20:49,399 Speaker 1: But I could get in there easily without getting winded, 389 00:20:49,800 --> 00:20:51,760 Speaker 1: and I could get in and out without spooking. So 390 00:20:51,760 --> 00:20:54,240 Speaker 1: it's a great setup. I was really excited. I thought, 391 00:20:54,280 --> 00:20:56,280 Speaker 1: you know, today and tomorrow if ever, I want to 392 00:20:56,280 --> 00:20:58,000 Speaker 1: get an early season buck this year, and this is 393 00:20:58,040 --> 00:21:00,640 Speaker 1: the spot, and this is what it's gonna happen. Well, 394 00:21:01,080 --> 00:21:03,840 Speaker 1: long story short, same thing as the night before. I 395 00:21:03,920 --> 00:21:06,639 Speaker 1: saw tons of doughs, a couple of little bucks. No 396 00:21:06,760 --> 00:21:11,920 Speaker 1: shooters decided. The next day, um temperatures dropped another ten 397 00:21:11,920 --> 00:21:13,840 Speaker 1: to fifteen degrees, so now we're in the low forties 398 00:21:14,080 --> 00:21:17,320 Speaker 1: by Saturday night here in Michigan, I mean dying like 399 00:21:17,560 --> 00:21:19,400 Speaker 1: a little bit of rain. So I decided to push 400 00:21:19,440 --> 00:21:21,080 Speaker 1: it back in there one more time. I usually don't 401 00:21:21,080 --> 00:21:22,879 Speaker 1: do that. I almost never hunt this farm at all 402 00:21:22,880 --> 00:21:25,240 Speaker 1: in the early season, maybe one or two hunts. Um, 403 00:21:25,400 --> 00:21:27,359 Speaker 1: but I decided to go in for one more hunt 404 00:21:28,800 --> 00:21:31,159 Speaker 1: the same thing again. A bunch of doughs, like twenty 405 00:21:31,240 --> 00:21:34,119 Speaker 1: five dolls and uh four bucks that night, but all 406 00:21:34,200 --> 00:21:38,080 Speaker 1: little ones. So that's kind of been the story of 407 00:21:38,119 --> 00:21:40,159 Speaker 1: my whole season. I hunted again the next day on 408 00:21:40,160 --> 00:21:43,000 Speaker 1: a different farm, so a bunch of doughs. Hunted again 409 00:21:43,160 --> 00:21:47,479 Speaker 1: last night, Um had another still cold, A big storm 410 00:21:47,480 --> 00:21:50,439 Speaker 1: was pushing through several kind of squalls, pushed through a 411 00:21:50,440 --> 00:21:53,240 Speaker 1: bunch of doughs, a few small bucks. Um. I did 412 00:21:53,280 --> 00:21:56,560 Speaker 1: see one last night. Who it was kind of a 413 00:21:56,600 --> 00:22:00,320 Speaker 1: teeter totter buck, like you said, um he and again 414 00:22:00,359 --> 00:22:02,880 Speaker 1: like I said, I'm hunting in Michigan here, I'm targeting 415 00:22:02,880 --> 00:22:04,760 Speaker 1: a three and a half year old buck. I'm not 416 00:22:05,600 --> 00:22:07,920 Speaker 1: I don't have enough big bucks under my belt to 417 00:22:07,960 --> 00:22:09,960 Speaker 1: say I'm gonna only shoot a hundred and fifty buck 418 00:22:09,960 --> 00:22:11,640 Speaker 1: here in Michigan or something crazy like that. You know there, 419 00:22:11,680 --> 00:22:14,080 Speaker 1: there just aren't a lot dear like that here. Um, 420 00:22:14,160 --> 00:22:16,439 Speaker 1: so mature, a relatively mature three and a half year 421 00:22:16,440 --> 00:22:19,919 Speaker 1: old buck here in Michigan, uh to a degree, regardless 422 00:22:19,960 --> 00:22:22,920 Speaker 1: of antler size, is a shooter for me here. Um, 423 00:22:22,960 --> 00:22:24,679 Speaker 1: I mean that's a respectable buck in some of these 424 00:22:24,720 --> 00:22:27,679 Speaker 1: areas that I hunt. So that said, this deer had 425 00:22:27,720 --> 00:22:29,520 Speaker 1: a body that really looked like he was at least 426 00:22:29,520 --> 00:22:30,919 Speaker 1: three and a half years old. I mean, he had 427 00:22:30,960 --> 00:22:34,000 Speaker 1: a bigger belly, He had like the sagging, swinging patch 428 00:22:34,000 --> 00:22:36,359 Speaker 1: of skin underneath his neck, which you do you don't 429 00:22:36,400 --> 00:22:38,640 Speaker 1: see in a two an a half year old. Um. 430 00:22:38,760 --> 00:22:40,479 Speaker 1: He just didn't have a really big rack on him. 431 00:22:40,480 --> 00:22:42,280 Speaker 1: It was pretty tight, it was tall, he had nice 432 00:22:42,359 --> 00:22:48,000 Speaker 1: brow times and decent time length on his twos and threes. Um. 433 00:22:48,080 --> 00:22:49,840 Speaker 1: But I he was just one of those deer I 434 00:22:49,880 --> 00:22:52,440 Speaker 1: was really I wasn't really sure in the end, I said, 435 00:22:52,440 --> 00:22:54,080 Speaker 1: I probably would have passed on him just because I 436 00:22:54,200 --> 00:22:56,399 Speaker 1: you know, wasn't a hunter, definitely wasn't impressed with his 437 00:22:56,520 --> 00:23:00,280 Speaker 1: rack and wasn't add percent sure on the body. Um. 438 00:23:00,320 --> 00:23:01,920 Speaker 1: So if he came in to give me a shot, 439 00:23:01,920 --> 00:23:03,479 Speaker 1: which he never did, so I never had to make 440 00:23:03,520 --> 00:23:06,040 Speaker 1: the choice. But if he had I decided, I think 441 00:23:06,080 --> 00:23:09,280 Speaker 1: I would just wait because it's still early. Um, but 442 00:23:09,359 --> 00:23:11,040 Speaker 1: that's one of those deer here in Michigan when you 443 00:23:11,080 --> 00:23:12,720 Speaker 1: don't have a whole lot of opportunities, A big deer 444 00:23:12,760 --> 00:23:15,560 Speaker 1: that at least had me thinking about it. So it 445 00:23:15,600 --> 00:23:16,960 Speaker 1: was kind of fun just to see a buck that 446 00:23:17,000 --> 00:23:21,800 Speaker 1: was half decent that got me thinking about it. And um. 447 00:23:21,840 --> 00:23:26,480 Speaker 1: That said, in general, my larger issue, Dan is that 448 00:23:26,880 --> 00:23:30,120 Speaker 1: I had four trail cameras running across my two best 449 00:23:30,160 --> 00:23:34,399 Speaker 1: Michigan properties, and I had them running since the end 450 00:23:34,440 --> 00:23:36,359 Speaker 1: of August. I stayed out of all. I finished up 451 00:23:36,400 --> 00:23:38,320 Speaker 1: all my work on these farms at the end of August, 452 00:23:38,640 --> 00:23:41,200 Speaker 1: and I hadn't returned to these farms once for anything 453 00:23:41,440 --> 00:23:43,840 Speaker 1: until I started hunting you know, these past couple of days. 454 00:23:44,600 --> 00:23:46,679 Speaker 1: And as you know, over the course of the summer 455 00:23:47,000 --> 00:23:50,120 Speaker 1: in Michigan, I did get many shooter box on trail 456 00:23:50,160 --> 00:23:52,880 Speaker 1: camera at all. Like it wasn't until almost August, I think, 457 00:23:52,920 --> 00:23:55,199 Speaker 1: until I got one, and I only got pictures of 458 00:23:55,240 --> 00:23:59,160 Speaker 1: one other mature buck um one other time, I think. 459 00:23:59,280 --> 00:24:01,359 Speaker 1: So it was really poor year during the summer for 460 00:24:01,560 --> 00:24:04,800 Speaker 1: trail camera pictures of shooters here compared to other years 461 00:24:04,800 --> 00:24:08,040 Speaker 1: I've had. Um, well, I had four cameras running, like 462 00:24:08,040 --> 00:24:10,280 Speaker 1: I said, for over a month. I checked them all. 463 00:24:10,840 --> 00:24:14,000 Speaker 1: I don't have a single three and a half year 464 00:24:14,000 --> 00:24:16,879 Speaker 1: old or older deer on trail camera since in the 465 00:24:16,960 --> 00:24:21,320 Speaker 1: last thirty plus days. Nothing. Um, I've never had that 466 00:24:21,359 --> 00:24:25,040 Speaker 1: happen here in Michigan. Um in this, in this area before. 467 00:24:26,160 --> 00:24:31,840 Speaker 1: So I'm it's still early, but I'm more down on 468 00:24:31,920 --> 00:24:35,000 Speaker 1: my Michigan hunting than I have been in a while. 469 00:24:35,400 --> 00:24:37,280 Speaker 1: I would have expected to have at least something with 470 00:24:37,320 --> 00:24:39,920 Speaker 1: all those cameras out there in some good areas, um, 471 00:24:39,960 --> 00:24:42,639 Speaker 1: at least nighttime photos. I mean last year on one 472 00:24:42,680 --> 00:24:46,439 Speaker 1: of these farms, I had three mature bucks showing up regularly, um, 473 00:24:46,480 --> 00:24:48,879 Speaker 1: over and over and over and over again, even during daylight. 474 00:24:48,960 --> 00:24:53,600 Speaker 1: And now not a single one anywhere, daytime, nighttime anything. Um. 475 00:24:53,600 --> 00:24:57,840 Speaker 1: And they're these properties are untouched, they are. They have 476 00:24:57,880 --> 00:24:59,639 Speaker 1: a wealth of cover. I've done a lot of habit 477 00:24:59,680 --> 00:25:01,399 Speaker 1: at work on a couple of these spots. I've got 478 00:25:01,720 --> 00:25:03,880 Speaker 1: tons of egg fields around them. I've got some great 479 00:25:03,880 --> 00:25:05,359 Speaker 1: food plots I put in. I may have done a 480 00:25:05,359 --> 00:25:06,720 Speaker 1: lot of work to make sure this is the kind 481 00:25:06,720 --> 00:25:09,919 Speaker 1: of place white tails want to call home. And uh, 482 00:25:10,720 --> 00:25:13,199 Speaker 1: the big boys just they may be there. I mean 483 00:25:13,200 --> 00:25:16,080 Speaker 1: there's I have to believe there's still a good deer 484 00:25:16,480 --> 00:25:19,520 Speaker 1: or two in the general area, but they're not on 485 00:25:19,640 --> 00:25:23,600 Speaker 1: me right now. Well, i'll tell you what. Just you know, 486 00:25:23,760 --> 00:25:26,160 Speaker 1: white and the blow from your trail cameras a little bit. 487 00:25:26,800 --> 00:25:29,520 Speaker 1: Here's what I have seen historically over the past years 488 00:25:30,080 --> 00:25:33,280 Speaker 1: when the when they get out of their velvet, the 489 00:25:33,400 --> 00:25:35,960 Speaker 1: crops start drying up, so it's not as lush, they're 490 00:25:35,960 --> 00:25:39,720 Speaker 1: not as easy to eat, and there there's there's a 491 00:25:39,760 --> 00:25:42,560 Speaker 1: little bit of a change in their pattern. But the 492 00:25:43,119 --> 00:25:47,600 Speaker 1: big change this year, especially where I hunt, and I'm 493 00:25:47,640 --> 00:25:50,080 Speaker 1: sure it could it could probably relate a little bit 494 00:25:50,200 --> 00:25:53,000 Speaker 1: in Michigan on on your farms as well. We had 495 00:25:53,000 --> 00:25:57,000 Speaker 1: a ton of rain this summer. The vegetation in the 496 00:25:57,080 --> 00:25:59,800 Speaker 1: timber is still going to be green for a while, 497 00:26:00,040 --> 00:26:03,399 Speaker 1: so they have plenty to eat in the timber, huge 498 00:26:03,520 --> 00:26:07,119 Speaker 1: acorn crops this year. They don't need the egg fields, 499 00:26:07,119 --> 00:26:09,959 Speaker 1: they don't need the food plots, and there's probably some 500 00:26:10,040 --> 00:26:14,719 Speaker 1: kind of running water in your throughout your your properties. 501 00:26:14,960 --> 00:26:19,520 Speaker 1: So when you think about it, these deer don't need, 502 00:26:19,880 --> 00:26:24,040 Speaker 1: don't need to go and expose themselves out in the fields. Yeah, 503 00:26:24,080 --> 00:26:27,080 Speaker 1: it's an easy meal. But you know, we we've kind 504 00:26:27,080 --> 00:26:30,679 Speaker 1: of discussed this in past episodes, and um, even you 505 00:26:30,680 --> 00:26:33,720 Speaker 1: know just between me and you that these these big 506 00:26:33,760 --> 00:26:37,200 Speaker 1: mature bucks, they live a different lifestyle than these younger bucks. 507 00:26:37,240 --> 00:26:40,800 Speaker 1: In these doughs, they they will sit down and stay 508 00:26:40,920 --> 00:26:44,439 Speaker 1: hidden for as long as needed. Yeah. I think it's 509 00:26:44,440 --> 00:26:45,600 Speaker 1: a lot of true to some of the things you 510 00:26:45,640 --> 00:26:48,159 Speaker 1: said there. And I thought about the same thing. Um, 511 00:26:49,440 --> 00:26:52,600 Speaker 1: I do believe that eventually there will be some an 512 00:26:52,640 --> 00:26:54,560 Speaker 1: older deer or two that will move into a couple 513 00:26:54,560 --> 00:26:58,080 Speaker 1: of these areas. Just has to be there, always has been, um. 514 00:26:58,160 --> 00:26:59,879 Speaker 1: And I think if anything else, the best thing I 515 00:26:59,920 --> 00:27:05,720 Speaker 1: have going for me on these spots is my stubborn patients, 516 00:27:06,240 --> 00:27:09,280 Speaker 1: and I have to maintain that. Um. I'm tempted to. 517 00:27:09,640 --> 00:27:11,360 Speaker 1: Part of me says, oh, there's not a big deer 518 00:27:11,400 --> 00:27:13,040 Speaker 1: and they're just going there and shoot some doughs or 519 00:27:13,080 --> 00:27:15,240 Speaker 1: just have some fun with it. Um. The other side 520 00:27:15,240 --> 00:27:19,359 Speaker 1: of me says, be strong, stick with your plan, which 521 00:27:19,440 --> 00:27:22,000 Speaker 1: is don't mess around those areas until you've got a 522 00:27:22,040 --> 00:27:23,960 Speaker 1: really good chance to shoot one. And I think that 523 00:27:24,080 --> 00:27:25,760 Speaker 1: you know that that's what I have to do. And 524 00:27:25,800 --> 00:27:28,200 Speaker 1: what I have to do is let these properties become 525 00:27:28,200 --> 00:27:31,359 Speaker 1: a sanctuary so that all the other people hunting around me. 526 00:27:31,480 --> 00:27:33,719 Speaker 1: They're gonna keep on hunting. I know they will, and 527 00:27:33,760 --> 00:27:36,560 Speaker 1: they're going to push deer from wherever they are right 528 00:27:36,560 --> 00:27:39,960 Speaker 1: now to these couple of spots where the deer find oh, hey, 529 00:27:40,000 --> 00:27:41,800 Speaker 1: there isn't anyone in there. Oh and hey, there's a 530 00:27:41,840 --> 00:27:44,200 Speaker 1: bunch of great food and oh, by the way, great 531 00:27:44,400 --> 00:27:46,600 Speaker 1: lush bedding cover where I can be safe and secure 532 00:27:46,640 --> 00:27:50,560 Speaker 1: and there's no yahoo's walking around. Um that's I think 533 00:27:50,560 --> 00:27:53,800 Speaker 1: that's what's gonna happen. They'll eventually get pushed. My properties 534 00:27:53,800 --> 00:27:57,800 Speaker 1: will be a sanctuary. I'm gonna play Devil's advocate a 535 00:27:57,800 --> 00:28:00,399 Speaker 1: bit here, all right. Do Your play in is to 536 00:28:00,440 --> 00:28:02,960 Speaker 1: not create, is to not create a whole bunch of 537 00:28:03,359 --> 00:28:06,520 Speaker 1: Um I guess you know unwanted pressure on your property. 538 00:28:06,800 --> 00:28:11,399 Speaker 1: Right You've also decided not to shoot dose right well, 539 00:28:12,040 --> 00:28:14,880 Speaker 1: I just want to make one attendum to that does 540 00:28:15,040 --> 00:28:17,760 Speaker 1: right now. I will be shooting dose dose right now 541 00:28:18,000 --> 00:28:21,600 Speaker 1: does right now. So my question to you is, why 542 00:28:21,640 --> 00:28:25,040 Speaker 1: are you even hunting that that those properties? If you 543 00:28:25,119 --> 00:28:26,960 Speaker 1: know right now you're not going to shoot a dough 544 00:28:27,520 --> 00:28:30,240 Speaker 1: and you know that your trail cameras. I know you 545 00:28:30,240 --> 00:28:33,000 Speaker 1: went in this first time and then went and checked 546 00:28:33,040 --> 00:28:35,760 Speaker 1: the cards, so you kind of didn't know what was 547 00:28:35,800 --> 00:28:38,240 Speaker 1: out there. So are you going to continue to hunt 548 00:28:38,280 --> 00:28:41,040 Speaker 1: these properties or are you going to just check your 549 00:28:41,560 --> 00:28:44,080 Speaker 1: trail cameras and then move in when the bucks do 550 00:28:44,160 --> 00:28:47,800 Speaker 1: show up. I am not going to be hunting these properties, okay, 551 00:28:47,960 --> 00:28:51,080 Speaker 1: I'm I'm gonna have the cameras running. I might go 552 00:28:51,160 --> 00:28:53,560 Speaker 1: in there in a week or two when it's rainy 553 00:28:53,640 --> 00:28:56,560 Speaker 1: to check trail cameras once. Otherwise I'm gonna be staying 554 00:28:56,560 --> 00:28:59,160 Speaker 1: completely off this until the end of October once I 555 00:28:59,200 --> 00:29:01,960 Speaker 1: get a cold first something. And unless you know I 556 00:29:02,040 --> 00:29:03,960 Speaker 1: checked trail cameras here in a week or two and 557 00:29:04,000 --> 00:29:05,680 Speaker 1: all of a sudden there's a big boy rolling around 558 00:29:05,760 --> 00:29:08,880 Speaker 1: during daylight, that might change my plans. But otherwise, I'm 559 00:29:08,920 --> 00:29:10,400 Speaker 1: going to spend the rest of my time in the 560 00:29:10,440 --> 00:29:13,360 Speaker 1: next couple to three weeks on a couple other private 561 00:29:13,440 --> 00:29:15,479 Speaker 1: land parcels that I have permission on that I just 562 00:29:16,200 --> 00:29:19,440 Speaker 1: don't really focus on bucks there. There's just not a 563 00:29:19,480 --> 00:29:21,440 Speaker 1: good chance and mature dear there, I'm gonna focus on 564 00:29:21,560 --> 00:29:23,760 Speaker 1: hunting doughs on some of those farms, and I'm gonna 565 00:29:23,760 --> 00:29:26,080 Speaker 1: focus on exploring some public land and trying some new 566 00:29:26,120 --> 00:29:29,880 Speaker 1: things out on some public spots. Um. Otherwise, I'm gonna 567 00:29:29,880 --> 00:29:31,800 Speaker 1: stay off of these farms and try to make them 568 00:29:31,840 --> 00:29:34,880 Speaker 1: a sanctuary until late October, once we'll start getting a 569 00:29:34,880 --> 00:29:36,680 Speaker 1: little bit of that pre right activity at least that 570 00:29:36,840 --> 00:29:39,520 Speaker 1: you know. That's my plan for right now. Sounds like 571 00:29:39,520 --> 00:29:44,880 Speaker 1: a good plan. So I've got your blessing. Yeah, all right, 572 00:29:47,200 --> 00:29:49,200 Speaker 1: So there there you have it. That's that's what's going 573 00:29:49,240 --> 00:29:52,120 Speaker 1: on here. Um. We spent a whole lot of time 574 00:29:52,160 --> 00:29:54,640 Speaker 1: you're talking about our our hunts, more than I expected. 575 00:29:54,680 --> 00:29:56,200 Speaker 1: But I think it's good. We've got some stuff out there, 576 00:29:56,200 --> 00:29:59,200 Speaker 1: and hopefully you know, all you guys listening maybe learned 577 00:29:59,200 --> 00:30:01,040 Speaker 1: a thing or two from you know, what you and 578 00:30:01,080 --> 00:30:03,880 Speaker 1: I have gone through here recently. A lot of it, 579 00:30:04,040 --> 00:30:06,160 Speaker 1: a lot of it has to do with what we are. 580 00:30:06,200 --> 00:30:10,600 Speaker 1: Actually the topic of this today is is is the weather? 581 00:30:10,760 --> 00:30:14,160 Speaker 1: This coold front that just that just pushed through has 582 00:30:14,240 --> 00:30:16,400 Speaker 1: got the does and the young bucks on their feet, 583 00:30:16,920 --> 00:30:21,080 Speaker 1: and you saw it, I saw it. Um. Typically you know, 584 00:30:21,360 --> 00:30:23,560 Speaker 1: last year was a cool October as well. But the 585 00:30:23,640 --> 00:30:26,560 Speaker 1: year before that was a warm October, and I just 586 00:30:26,600 --> 00:30:29,360 Speaker 1: remember setting up tree stands, drip and sweat and not 587 00:30:29,400 --> 00:30:34,000 Speaker 1: seeing anything. So weather has a lot to do with 588 00:30:34,120 --> 00:30:38,760 Speaker 1: deer movement. Oh yeah, I personally, in my how I 589 00:30:38,840 --> 00:30:41,320 Speaker 1: hunt and what I pay attention to, there's nothing more 590 00:30:41,360 --> 00:30:45,000 Speaker 1: important to me than whether I obsess over Like I found, 591 00:30:45,000 --> 00:30:47,560 Speaker 1: there's nothing that really seems influenced deer movement other than 592 00:30:47,560 --> 00:30:51,520 Speaker 1: maybe the rut um that influences dear behavior like weather. 593 00:30:51,680 --> 00:30:54,040 Speaker 1: And so I mean I'm checking whether every single day, 594 00:30:54,480 --> 00:30:57,520 Speaker 1: I'm obsessing over with the ten day forecast and what's happening, 595 00:30:57,560 --> 00:31:00,240 Speaker 1: and I'm planning my hunts around that. Um. And a big, 596 00:31:00,280 --> 00:31:02,560 Speaker 1: big part of that is cold fronts. And so maybe 597 00:31:02,600 --> 00:31:04,440 Speaker 1: I thought we'd start with cold frinds sance. That's what 598 00:31:04,560 --> 00:31:06,640 Speaker 1: a lot of people have experienced over the past week 599 00:31:06,720 --> 00:31:10,960 Speaker 1: or so across most of the White Tail Country, big 600 00:31:10,960 --> 00:31:13,760 Speaker 1: cold friends moving through and that I think you know, 601 00:31:13,760 --> 00:31:15,600 Speaker 1: in a lot of cases has resulted in a lot 602 00:31:15,600 --> 00:31:19,080 Speaker 1: of big deer hit in the ground. Um. So let 603 00:31:19,160 --> 00:31:20,920 Speaker 1: me give you my my take on coal fronts standard. 604 00:31:20,920 --> 00:31:22,360 Speaker 1: Then I want to see if that's in line with 605 00:31:22,440 --> 00:31:24,959 Speaker 1: what you've seen, what you believe, um, and we'll kind 606 00:31:24,960 --> 00:31:26,960 Speaker 1: of go from there and then we'll talk about a 607 00:31:27,000 --> 00:31:30,520 Speaker 1: little bit about pressure pressure systems coming through. Well, talk 608 00:31:30,520 --> 00:31:34,480 Speaker 1: a little bit about warm weather and then precipitation, rain 609 00:31:34,560 --> 00:31:37,280 Speaker 1: and snow and then wind. Um. So that's like a 610 00:31:37,280 --> 00:31:39,520 Speaker 1: good plan to finish off the back half of the show. Yep, 611 00:31:39,720 --> 00:31:43,280 Speaker 1: let's do it. Awesome. So cold fronts, cold fronts are 612 00:31:43,320 --> 00:31:47,280 Speaker 1: my number one hunting. I don't even know what they are. 613 00:31:47,320 --> 00:31:50,360 Speaker 1: I love cold fronts, is what I'm trying to say. Um, 614 00:31:50,400 --> 00:31:55,240 Speaker 1: I am really really an advocate of planning my hunts 615 00:31:55,360 --> 00:31:57,440 Speaker 1: of when I want to go into my best areas 616 00:31:57,480 --> 00:32:00,480 Speaker 1: around those cold fronts hitting. Um, they're doesn't seem to 617 00:32:00,520 --> 00:32:02,680 Speaker 1: be anything else. I've seen that we'll get a mature 618 00:32:02,720 --> 00:32:09,720 Speaker 1: buck moving more during daylight than a cold front passing through. Um. 619 00:32:09,760 --> 00:32:12,760 Speaker 1: You know what I'm seeing is typically that the evening 620 00:32:12,800 --> 00:32:15,280 Speaker 1: before front hits, and then the day or two after 621 00:32:15,320 --> 00:32:18,960 Speaker 1: a big cold front hits, really gets deer moving earlier 622 00:32:19,200 --> 00:32:22,520 Speaker 1: and moving continuing moving later into the mornings during that 623 00:32:22,560 --> 00:32:25,040 Speaker 1: cold weather. Right when you've got warm weather, they're slowing down. 624 00:32:25,360 --> 00:32:27,360 Speaker 1: They don't want to exert themselves once hot out. But 625 00:32:27,360 --> 00:32:30,200 Speaker 1: when that cold weather hits, and it's really about the change, 626 00:32:30,240 --> 00:32:34,000 Speaker 1: in my opinion, But when there's a change negatively in temperature, 627 00:32:34,320 --> 00:32:36,840 Speaker 1: it triggers the feeding mechanism and deer, right, they need 628 00:32:36,880 --> 00:32:38,880 Speaker 1: to get more food in their bodies to warm themselves 629 00:32:38,960 --> 00:32:41,360 Speaker 1: up and keep that energy going. And just in general, 630 00:32:41,400 --> 00:32:43,800 Speaker 1: they feel more. They feel more comfortable. You know, they've 631 00:32:43,800 --> 00:32:46,200 Speaker 1: got that heavy winter coat on by this time of year, 632 00:32:46,640 --> 00:32:48,840 Speaker 1: so when the temperatures drop all of a sudden, they're 633 00:32:48,920 --> 00:32:52,200 Speaker 1: much more willing to walk around and explore and uh 634 00:32:52,640 --> 00:32:56,520 Speaker 1: enjoy themselves during daylight when it's comfortable to do so. 635 00:32:56,520 --> 00:33:01,480 Speaker 1: So again during October especially, I mean in November, I'm 636 00:33:01,560 --> 00:33:04,320 Speaker 1: hunting regardless, you know, during that rutting period, I'm gonna 637 00:33:04,320 --> 00:33:07,280 Speaker 1: be out there. Um, cold fronts really help, and when 638 00:33:07,280 --> 00:33:10,400 Speaker 1: a cold front hits during the rut, I'm like gung 639 00:33:10,440 --> 00:33:13,880 Speaker 1: ho excited about it. But during October, lots of times 640 00:33:13,920 --> 00:33:16,320 Speaker 1: I won't be hunting, um, at least not hunting my 641 00:33:16,400 --> 00:33:19,520 Speaker 1: better areas unless there's a cold front hitting or precipitate 642 00:33:19,640 --> 00:33:22,760 Speaker 1: or something happening that's gonna trigger additional movement other than 643 00:33:22,840 --> 00:33:27,000 Speaker 1: just your typical morning and evening movement. Um. You know, 644 00:33:27,000 --> 00:33:29,720 Speaker 1: when I see that cold front hitting, I'm gonna say, Okay, 645 00:33:29,920 --> 00:33:32,720 Speaker 1: this is happening. What you know, where is my best 646 00:33:32,760 --> 00:33:34,600 Speaker 1: chance of a dear moving Because I think I've got 647 00:33:34,600 --> 00:33:38,640 Speaker 1: a you know, a significant, significantly higher percentage chance of 648 00:33:38,680 --> 00:33:42,680 Speaker 1: success when that front is coming through. Um. And I 649 00:33:42,720 --> 00:33:44,840 Speaker 1: guess one thing I want to emphasize is that it's 650 00:33:44,880 --> 00:33:47,800 Speaker 1: not always just whatever the actual temperature is. It's the 651 00:33:47,880 --> 00:33:50,240 Speaker 1: change in temperature that seems to matter the most in 652 00:33:50,280 --> 00:33:53,040 Speaker 1: my opinion from what I've heard from others. Um. So 653 00:33:53,480 --> 00:33:57,200 Speaker 1: you know, if you're hunting in Georgia and it's in 654 00:33:57,240 --> 00:33:59,440 Speaker 1: the eighties right now and next week is going to 655 00:33:59,520 --> 00:34:02,720 Speaker 1: be sick eight, that's you know, let's say that's a 656 00:34:02,720 --> 00:34:05,600 Speaker 1: twelve degree temperature drop, that's pretty significant. That could trigger 657 00:34:05,640 --> 00:34:08,320 Speaker 1: increased movement, even though right now, if it was sixty 658 00:34:08,360 --> 00:34:11,640 Speaker 1: eight degrees here in Michigan, I wouldn't want hunt at all. Um, 659 00:34:11,680 --> 00:34:14,719 Speaker 1: But since it went from where you're at, that's that 660 00:34:14,719 --> 00:34:19,239 Speaker 1: could trigger some additional movement. Um. Meanwhile, here, you know, 661 00:34:19,280 --> 00:34:21,600 Speaker 1: it's in the right now, it's in the fifties, which 662 00:34:21,640 --> 00:34:23,600 Speaker 1: was pretty cool compared to the seventies that we had 663 00:34:23,680 --> 00:34:25,880 Speaker 1: last week. But right now, once we fall into this 664 00:34:25,960 --> 00:34:29,000 Speaker 1: consistent fifty seven fifty eight degree temperatures for four or 665 00:34:29,040 --> 00:34:31,319 Speaker 1: five six days, all of a sudden, it's not such 666 00:34:31,320 --> 00:34:33,160 Speaker 1: a big deal anymore. Now I want to see another 667 00:34:33,160 --> 00:34:35,720 Speaker 1: ten degree drop before I'm going to get that increased 668 00:34:35,719 --> 00:34:38,800 Speaker 1: movement again. So for me, it's about that change in temperature. 669 00:34:39,360 --> 00:34:42,160 Speaker 1: UM kind of the threshold. I don't there's obviously no 670 00:34:42,239 --> 00:34:45,280 Speaker 1: rule about this, but the threshold that I've personally seen 671 00:34:45,640 --> 00:34:48,120 Speaker 1: to have seen had the biggest increase or increase in 672 00:34:48,160 --> 00:34:50,920 Speaker 1: movements to be somewhere around ten degrees of a change 673 00:34:50,920 --> 00:34:54,040 Speaker 1: in temperature. Of a decrease in temperature, I would consider 674 00:34:54,120 --> 00:34:56,920 Speaker 1: a significant enough front to to want to hunt and 675 00:34:57,000 --> 00:35:00,680 Speaker 1: to focus on UM. But I don't know. I think 676 00:35:00,680 --> 00:35:03,240 Speaker 1: those are my high level thoughts on cold fronts. UM. 677 00:35:03,440 --> 00:35:05,200 Speaker 1: Like we've talked about. Had a big one come through 678 00:35:05,239 --> 00:35:08,319 Speaker 1: this past weekend and I saw a ton of deer 679 00:35:08,360 --> 00:35:09,880 Speaker 1: and they were moving early. I mean I was getting 680 00:35:09,880 --> 00:35:11,680 Speaker 1: out there. I was trying to get out there really 681 00:35:11,680 --> 00:35:13,239 Speaker 1: early because I knew they've been moving, and I was 682 00:35:13,440 --> 00:35:15,200 Speaker 1: there were deer on their feet feeding at three thirty 683 00:35:15,239 --> 00:35:17,080 Speaker 1: in the afternoon and this night gets not getting dark 684 00:35:17,120 --> 00:35:20,200 Speaker 1: here until seven fifty at night. UM, So these deal 685 00:35:20,239 --> 00:35:23,279 Speaker 1: were out there four hours before daylight. UM. And again 686 00:35:23,280 --> 00:35:26,759 Speaker 1: I didn't see any mature Bucks, but um groups of 687 00:35:27,000 --> 00:35:29,960 Speaker 1: younger bachelor groups and tons of dos moving three four 688 00:35:30,000 --> 00:35:33,080 Speaker 1: hours before dark um. And then last year at the 689 00:35:33,120 --> 00:35:36,040 Speaker 1: same time, a cold front hit and I had encounters 690 00:35:36,120 --> 00:35:40,640 Speaker 1: with four different mature Bucks in five hunts last year 691 00:35:40,760 --> 00:35:44,560 Speaker 1: between October one October seven during a cold front that hit. 692 00:35:44,760 --> 00:35:47,359 Speaker 1: So last year, the cold fronts really really paid off 693 00:35:47,360 --> 00:35:49,520 Speaker 1: for me. This year. I thought they wouldn't. I just 694 00:35:49,560 --> 00:35:51,680 Speaker 1: didn't have the big bucks to to make it happen, 695 00:35:51,719 --> 00:35:54,719 Speaker 1: I don't think. But for me it's it's a huge thing. 696 00:35:54,880 --> 00:35:58,200 Speaker 1: And throughout the year, especially as we get into later October. Man, 697 00:35:58,239 --> 00:36:01,879 Speaker 1: they can really trigger some exciting stuff. But that's Uh, 698 00:36:01,880 --> 00:36:05,200 Speaker 1: that's my rant on coal fronts. What about you, Dan, Well, 699 00:36:05,239 --> 00:36:09,839 Speaker 1: for the most part, I agree, UM. Now I'm not 700 00:36:09,920 --> 00:36:12,880 Speaker 1: gonna be no matter what kind of cold front comes 701 00:36:12,920 --> 00:36:17,200 Speaker 1: the first week and uh into October, I'm probably not 702 00:36:17,239 --> 00:36:20,440 Speaker 1: gonna be jumping into some of the best stands um, 703 00:36:20,520 --> 00:36:24,560 Speaker 1: just because and and me checking my trail cameras this weekend, 704 00:36:24,960 --> 00:36:29,680 Speaker 1: UH kind of emphasized that I this time of year 705 00:36:29,719 --> 00:36:33,120 Speaker 1: for me is to get out, get my gear working, 706 00:36:33,200 --> 00:36:35,960 Speaker 1: my running guns, you know, my tearing down and setting 707 00:36:36,040 --> 00:36:40,480 Speaker 1: up good. Um, I want to shoot a dough. Um, 708 00:36:40,520 --> 00:36:44,400 Speaker 1: but if a buck comes along, good. But I'm not 709 00:36:44,440 --> 00:36:48,040 Speaker 1: going to go into into my best spots now. As 710 00:36:48,080 --> 00:36:51,719 Speaker 1: far as cold fronts are concerned, UM, I don't know 711 00:36:51,840 --> 00:36:55,120 Speaker 1: early season, they're not. They don't play, in my opinion, 712 00:36:55,440 --> 00:36:58,839 Speaker 1: as big of a part as time of year does. 713 00:36:59,560 --> 00:37:02,440 Speaker 1: But when I went and checked all my trail cameras 714 00:37:02,440 --> 00:37:04,600 Speaker 1: this year, I had a couple over scrapes. I had 715 00:37:04,600 --> 00:37:07,879 Speaker 1: a couple over some fence crossings, um, some pinch points 716 00:37:08,040 --> 00:37:14,680 Speaker 1: and um, every mature buck was on a nocturnal schedule still, 717 00:37:15,360 --> 00:37:18,840 Speaker 1: so getting close you know, probably an hour outside of 718 00:37:18,880 --> 00:37:22,840 Speaker 1: shooting light. But but getting closer to that. And I 719 00:37:22,880 --> 00:37:25,239 Speaker 1: think time of year has a lot to do with it. 720 00:37:25,760 --> 00:37:30,480 Speaker 1: But anything can happen, especially if there's in my opinion, 721 00:37:31,360 --> 00:37:35,239 Speaker 1: tons of precipitation like with this wind that we had 722 00:37:36,480 --> 00:37:40,160 Speaker 1: this weekend. Um, I think they're they still were betting 723 00:37:40,160 --> 00:37:42,840 Speaker 1: down a lot. Yeah, I got some of them on 724 00:37:42,880 --> 00:37:46,440 Speaker 1: their feet, but the big the bigger, more mature bucks, 725 00:37:46,480 --> 00:37:49,279 Speaker 1: I just don't think anything can really influence them off 726 00:37:49,360 --> 00:37:53,279 Speaker 1: their feet. And other than maybe a ton of precipitation 727 00:37:54,480 --> 00:37:57,960 Speaker 1: um and typically that's that's mixed with cold fronts. You know, 728 00:37:57,960 --> 00:38:00,560 Speaker 1: when a cold front hits, typically there's snow, there's rain, 729 00:38:00,680 --> 00:38:05,880 Speaker 1: or there's something that happens. But I don't know, I'm 730 00:38:05,920 --> 00:38:08,920 Speaker 1: I'm not throwing all my eggs in one basket unless 731 00:38:09,480 --> 00:38:13,560 Speaker 1: my trail camera is showing that, you know, the previous 732 00:38:13,600 --> 00:38:17,080 Speaker 1: couple of days, even if it's a nocturnal you know, 733 00:38:17,120 --> 00:38:19,040 Speaker 1: if there's a if there's a cold front so big 734 00:38:19,080 --> 00:38:22,080 Speaker 1: that comes through that it's gonna say, I need to 735 00:38:22,120 --> 00:38:25,239 Speaker 1: be in this location at this time, so when he 736 00:38:25,280 --> 00:38:27,759 Speaker 1: comes through, he's going to be there and and right now. 737 00:38:27,800 --> 00:38:30,440 Speaker 1: I just don't think a cold front can influence that 738 00:38:31,360 --> 00:38:34,160 Speaker 1: fair enough, fair and I think i'm I think we're 739 00:38:34,200 --> 00:38:36,480 Speaker 1: mostly on the same page. I just I still feel 740 00:38:36,520 --> 00:38:40,160 Speaker 1: I mean, I have seen that the first couple hunts, 741 00:38:40,200 --> 00:38:44,080 Speaker 1: like before you get that October lull type behavior, which 742 00:38:44,120 --> 00:38:46,680 Speaker 1: is you know, not necessary a thing, but that's maybe 743 00:38:46,800 --> 00:38:49,880 Speaker 1: hunter induced. But before there's that pressure of other hunters, 744 00:38:49,880 --> 00:38:52,160 Speaker 1: plus all the shifts and food sources and leaf cover 745 00:38:52,239 --> 00:38:54,000 Speaker 1: and all the different things that happened the first you know, 746 00:38:54,400 --> 00:38:57,239 Speaker 1: two to three weeks October. I still feel like those 747 00:38:57,280 --> 00:38:59,959 Speaker 1: first couple of days of October. If a cold front 748 00:39:00,000 --> 00:39:02,320 Speaker 1: coinsides of that, it can get the big deer on 749 00:39:02,360 --> 00:39:03,920 Speaker 1: their feet. And it's of course not it's not going 750 00:39:03,960 --> 00:39:05,680 Speaker 1: to be as good as a cold front pushing through 751 00:39:05,680 --> 00:39:07,759 Speaker 1: at the end of October when the time of year 752 00:39:08,120 --> 00:39:10,920 Speaker 1: is already in your favor. Um. But for me, it's 753 00:39:10,920 --> 00:39:13,160 Speaker 1: always been a thing like you've got a couple of 754 00:39:13,280 --> 00:39:16,480 Speaker 1: chances you can kind of catch possible opportunity for an 755 00:39:16,480 --> 00:39:19,759 Speaker 1: early season home or on um if those things coincide. 756 00:39:19,800 --> 00:39:23,040 Speaker 1: But I think something you said had a big impact 757 00:39:23,200 --> 00:39:28,080 Speaker 1: on this weekend, which was wind um. But on the 758 00:39:28,080 --> 00:39:30,640 Speaker 1: other hand, another thing you mentioned which help the situation 759 00:39:30,719 --> 00:39:33,920 Speaker 1: was precipitation. Um, So what do you think I kind 760 00:39:33,920 --> 00:39:35,399 Speaker 1: of want to talk about that first, Let's talk about 761 00:39:35,400 --> 00:39:37,640 Speaker 1: precipitation and then we can talk a little bit about 762 00:39:37,920 --> 00:39:41,200 Speaker 1: wind um. When it comes to pre sip, like you said, 763 00:39:41,560 --> 00:39:46,120 Speaker 1: I think that's a huge sugar for deer activity too. Um. 764 00:39:46,160 --> 00:39:49,480 Speaker 1: I have seen incredible dear movement during rain and snow, 765 00:39:50,600 --> 00:39:54,120 Speaker 1: and honestly, if there is, if there's raining the forecast, 766 00:39:54,360 --> 00:39:56,600 Speaker 1: I don't care how strong it's gonna be. I'm gonna 767 00:39:56,600 --> 00:39:58,319 Speaker 1: be in the I'm gonna be in the woods. Um, 768 00:39:58,360 --> 00:40:01,000 Speaker 1: assuming some of the other factors are, you know correct. 769 00:40:01,640 --> 00:40:03,880 Speaker 1: I really believe that as long as it's not an 770 00:40:03,880 --> 00:40:09,560 Speaker 1: absolute torrential downpour, thunderstorm, tornado, UM, it will get more deer, 771 00:40:09,680 --> 00:40:13,000 Speaker 1: especially more mature bucks on their feet on a percentage 772 00:40:13,040 --> 00:40:17,960 Speaker 1: basis than almost anything else. UM. Especially it's it's when 773 00:40:17,960 --> 00:40:20,160 Speaker 1: that rain starts slowing down. A light drizzle for me 774 00:40:20,360 --> 00:40:23,239 Speaker 1: is beautiful. I mean, that's awesome. But even if it's 775 00:40:23,280 --> 00:40:25,959 Speaker 1: a strong downpour or a lot of rain, I'll still 776 00:40:26,000 --> 00:40:28,000 Speaker 1: go out in there and sit it out because as 777 00:40:28,040 --> 00:40:30,440 Speaker 1: soon as that front passes through, as soon as the 778 00:40:30,520 --> 00:40:32,520 Speaker 1: rain starts to die down a little bit, those deer 779 00:40:32,520 --> 00:40:33,920 Speaker 1: will get moving a lot, and I want to make 780 00:40:33,920 --> 00:40:37,160 Speaker 1: sure I'm out there to take advantage of that. So 781 00:40:37,200 --> 00:40:39,600 Speaker 1: when it comes to rain, I love hunting during rain. 782 00:40:40,000 --> 00:40:42,560 Speaker 1: I've seen a ton of big deer during the rain. Um, 783 00:40:42,600 --> 00:40:45,239 Speaker 1: And a lot of times my buddies aren't hunting. That's rain, 784 00:40:45,320 --> 00:40:46,880 Speaker 1: and I don't want to be out there. It's too 785 00:40:46,920 --> 00:40:49,359 Speaker 1: too much rain. Yeah, they're they're gonna be bettered down. 786 00:40:49,719 --> 00:40:52,439 Speaker 1: I go out anyways, and I'm seeing big deer, So 787 00:40:53,040 --> 00:40:57,160 Speaker 1: I hunt rain, and I want to touch on one 788 00:40:57,200 --> 00:41:00,480 Speaker 1: other thing. But first I want to understand your thoughts. 789 00:41:00,480 --> 00:41:03,040 Speaker 1: That sounds like your pro rain. But tell me about 790 00:41:03,280 --> 00:41:05,480 Speaker 1: how you hunt rain, if you hunt rain, And then 791 00:41:05,520 --> 00:41:06,759 Speaker 1: I want to talk about, you know a couple of 792 00:41:06,800 --> 00:41:09,640 Speaker 1: things that people need to keep in mind when hunting, 793 00:41:09,719 --> 00:41:12,160 Speaker 1: especially bow hunting during the rain, because I think there 794 00:41:12,200 --> 00:41:15,480 Speaker 1: are some issues and some challenges of that that need 795 00:41:15,520 --> 00:41:18,759 Speaker 1: to be addressed. Right as far as hunting the rain 796 00:41:18,840 --> 00:41:22,160 Speaker 1: is concerned. I mean, if I am looking at the 797 00:41:22,280 --> 00:41:27,319 Speaker 1: radar and there's a big storm coming through, I'm not 798 00:41:27,360 --> 00:41:30,920 Speaker 1: gonna sit through that rain all day long. I'm just 799 00:41:31,000 --> 00:41:33,319 Speaker 1: not gonna do it. I mean, I don't think that 800 00:41:33,400 --> 00:41:37,640 Speaker 1: these deer, especially this time of year, maybe closer towards 801 00:41:37,719 --> 00:41:40,719 Speaker 1: the end of the year or end of the October 802 00:41:40,760 --> 00:41:45,520 Speaker 1: into the rut um as far as rain, Yeah, they're 803 00:41:45,520 --> 00:41:48,160 Speaker 1: gonna stand up and probably adjust their bed throughout the day. 804 00:41:48,200 --> 00:41:50,839 Speaker 1: But they're not going to be out roaming around, you know, 805 00:41:51,160 --> 00:41:53,680 Speaker 1: this time of year when it's raining outside. They're gonna 806 00:41:53,680 --> 00:41:56,480 Speaker 1: sit there and they're gonna take it, and they may 807 00:41:56,520 --> 00:41:59,040 Speaker 1: adjust a couple of beds, you know, stand up, walk 808 00:41:59,080 --> 00:42:02,919 Speaker 1: a couple you know, twenty ft, set down, and bed 809 00:42:02,960 --> 00:42:04,759 Speaker 1: down again. If they're in the right spot. They're in 810 00:42:04,800 --> 00:42:08,560 Speaker 1: the right spot. But what I like to do is 811 00:42:08,840 --> 00:42:12,759 Speaker 1: wait until maybe thirty minutes before that story. I look 812 00:42:12,800 --> 00:42:15,640 Speaker 1: at the radar thirty minutes before the storm passes. Then 813 00:42:15,680 --> 00:42:17,480 Speaker 1: I get in the tree. That way, I don't have 814 00:42:17,600 --> 00:42:21,480 Speaker 1: to um, you know. That way, I don't have to 815 00:42:21,520 --> 00:42:25,960 Speaker 1: do any type of get get there and get soaking wet. Now, 816 00:42:25,960 --> 00:42:30,920 Speaker 1: what I've seen typically is the deer start moving after 817 00:42:31,160 --> 00:42:34,640 Speaker 1: the rain start stops. They go out, they you know, 818 00:42:34,719 --> 00:42:38,959 Speaker 1: they're they're freshening up any scrapes they have. Um going 819 00:42:39,000 --> 00:42:43,680 Speaker 1: around doing you know, any any community scrapes or any 820 00:42:43,719 --> 00:42:49,439 Speaker 1: scrapes that they have in particular. But my my experience 821 00:42:49,760 --> 00:42:53,680 Speaker 1: is through the end, towards the end of the storm. 822 00:42:53,800 --> 00:42:56,400 Speaker 1: I think some of it may have to do with pressure. 823 00:42:56,440 --> 00:42:58,800 Speaker 1: I'm not I'm not gonna say I'm an expert on anything, 824 00:42:59,160 --> 00:43:02,759 Speaker 1: but um, the pressure kind of changes a little bit 825 00:43:02,840 --> 00:43:05,920 Speaker 1: towards the end of a storm and the rain stops. 826 00:43:06,040 --> 00:43:08,520 Speaker 1: It's still a wet out there, maybe driveling, but towards 827 00:43:08,560 --> 00:43:10,640 Speaker 1: the end is when then I'll hop back in the tree. 828 00:43:11,320 --> 00:43:14,120 Speaker 1: After the front is in the middle of the front passing, 829 00:43:14,360 --> 00:43:18,239 Speaker 1: and while it's passed, Okay, so it sounds like you 830 00:43:18,360 --> 00:43:21,239 Speaker 1: just don't like, you don't like get in your clothes 831 00:43:21,280 --> 00:43:25,520 Speaker 1: all wet. That's correct, that's correct. That's fair. That's fair. 832 00:43:26,160 --> 00:43:28,320 Speaker 1: You know, as you as you talked about that, you 833 00:43:28,400 --> 00:43:31,000 Speaker 1: got me thinking there might be something. Maybe I have 834 00:43:31,040 --> 00:43:32,960 Speaker 1: no idea. This is purely just a random idea that 835 00:43:33,000 --> 00:43:34,799 Speaker 1: popped in my head. But I have seen here in 836 00:43:34,800 --> 00:43:38,080 Speaker 1: Michigan that actually during the rain they're moving a lot. 837 00:43:38,640 --> 00:43:42,520 Speaker 1: Um and a big proponent of this hunting during this 838 00:43:42,600 --> 00:43:45,000 Speaker 1: kind of foul weather someone who's influenced a lot of 839 00:43:45,000 --> 00:43:48,560 Speaker 1: my hunting um two guys, John and Chris Eberhardt, big 840 00:43:48,560 --> 00:43:51,160 Speaker 1: time hunters here in Michigan. Right. They've written a number 841 00:43:51,200 --> 00:43:53,240 Speaker 1: of really great books, written a ton of magazine articles, 842 00:43:53,239 --> 00:43:55,680 Speaker 1: and they really harp on this whole thing hunt during 843 00:43:55,719 --> 00:43:59,279 Speaker 1: the rain. And they've always said that this is in 844 00:43:59,320 --> 00:44:03,560 Speaker 1: particular so effective in super high pressure areas like Michigan, 845 00:44:03,840 --> 00:44:08,120 Speaker 1: because their belief is that these bucks start to associate 846 00:44:08,600 --> 00:44:12,759 Speaker 1: rain conditions with a lack of hunters. They feel more 847 00:44:12,760 --> 00:44:16,520 Speaker 1: comfortable moving during those types of situations because they rarely 848 00:44:16,520 --> 00:44:19,200 Speaker 1: have encounters with humans at that time. And so they 849 00:44:19,239 --> 00:44:20,799 Speaker 1: said that that's one of the times that any time 850 00:44:20,840 --> 00:44:23,200 Speaker 1: of day even or any time of year, even early season, 851 00:44:23,719 --> 00:44:25,680 Speaker 1: that kind of thing will get a buck on its 852 00:44:25,680 --> 00:44:31,319 Speaker 1: feet earlier than usual during daylight. UM. And I have 853 00:44:31,480 --> 00:44:33,200 Speaker 1: definitely not. I haven't seen that in some of the 854 00:44:33,200 --> 00:44:35,839 Speaker 1: low pressure states I've seen, but here in Michigan, I mean, 855 00:44:35,880 --> 00:44:40,560 Speaker 1: I have had numerous encounters with old deer in strong 856 00:44:40,760 --> 00:44:43,399 Speaker 1: rain during the early season. Even I mean I saw 857 00:44:43,480 --> 00:44:46,080 Speaker 1: six shooter and leaner last year in the first week 858 00:44:46,120 --> 00:44:48,000 Speaker 1: of October. This is a four and a half in 859 00:44:48,000 --> 00:44:51,200 Speaker 1: a five and a half year old deer during borderline 860 00:44:51,200 --> 00:44:54,040 Speaker 1: torrential rain, moving during the day an hour or two 861 00:44:54,080 --> 00:44:57,480 Speaker 1: before dark. Um. So I think maybe this is something 862 00:44:57,560 --> 00:44:59,520 Speaker 1: that depends on where you're at. Maybe in some states 863 00:45:00,000 --> 00:45:02,960 Speaker 1: where there's extreme pressure, these deer have learned that this 864 00:45:03,000 --> 00:45:05,200 Speaker 1: is one of those safer times to move, while in 865 00:45:05,200 --> 00:45:08,080 Speaker 1: other areas where they're not as concerned, maybe they're there. 866 00:45:08,080 --> 00:45:10,560 Speaker 1: I'll wait it out. I don't know, just a thought. Um, 867 00:45:11,400 --> 00:45:14,080 Speaker 1: it's something to keep in mind, right right, And as 868 00:45:14,120 --> 00:45:18,279 Speaker 1: as far as cold fronts are concerned, all and you know, 869 00:45:18,600 --> 00:45:21,120 Speaker 1: we're all on Facebook and Twitter and all the social media, 870 00:45:21,120 --> 00:45:23,359 Speaker 1: and we see the pictures online and whatnot of all 871 00:45:23,360 --> 00:45:27,799 Speaker 1: these people killing these early season bucks, these big early 872 00:45:27,840 --> 00:45:30,760 Speaker 1: season mature deer. Now what you need to ask yourself 873 00:45:30,960 --> 00:45:35,080 Speaker 1: is what's the pressure pressure situation like that on on 874 00:45:35,120 --> 00:45:38,239 Speaker 1: some of these properties. Do they have other hunters or 875 00:45:38,400 --> 00:45:42,719 Speaker 1: is this a guy who has completely you know, control 876 00:45:42,719 --> 00:45:45,759 Speaker 1: of his property. Is he does he live close to 877 00:45:45,800 --> 00:45:49,279 Speaker 1: his property? For me, I can't check my trail cameras 878 00:45:49,440 --> 00:45:52,400 Speaker 1: on a daily basis. I can't sit there and glass 879 00:45:52,440 --> 00:45:55,000 Speaker 1: my properties from a distance. I have to do my 880 00:45:55,040 --> 00:45:59,239 Speaker 1: work on the weekends. And I think I think that 881 00:45:59,280 --> 00:46:03,040 Speaker 1: goes now that that that part of its underestimated or 882 00:46:03,320 --> 00:46:08,040 Speaker 1: I'm underappreciated, because if you're close to your deer and 883 00:46:08,360 --> 00:46:11,160 Speaker 1: a cold front moves through on a very low pressure property, 884 00:46:11,480 --> 00:46:14,680 Speaker 1: that deer is probably hitting uh even before the cold front. 885 00:46:14,719 --> 00:46:17,359 Speaker 1: That that deer is probably hitting the food source before 886 00:46:17,440 --> 00:46:21,680 Speaker 1: dark anyway, And when a cold front comes through, he's 887 00:46:22,440 --> 00:46:26,680 Speaker 1: he's there with plenty of time. So I think I 888 00:46:26,719 --> 00:46:29,160 Speaker 1: think that has a lot more to do with killing 889 00:46:29,160 --> 00:46:33,319 Speaker 1: a big buck is early season almost more than a 890 00:46:33,320 --> 00:46:35,560 Speaker 1: cold front is concerned. You have, the cold front helps, 891 00:46:35,920 --> 00:46:41,319 Speaker 1: but very low pressure helps more. I think, yeah, I 892 00:46:41,320 --> 00:46:43,959 Speaker 1: think that's I mean, that's the biggest trump card of 893 00:46:43,960 --> 00:46:47,520 Speaker 1: of of all, it's you've gotta have that low pressure 894 00:46:47,719 --> 00:46:49,880 Speaker 1: and then all these other factors can come in to 895 00:46:49,960 --> 00:46:52,880 Speaker 1: give you that additional um bump in the right direction. 896 00:46:53,960 --> 00:46:56,360 Speaker 1: And when we mean when we talk about low pressure, 897 00:46:56,360 --> 00:46:58,480 Speaker 1: I know we're talking about whether we're not talking about 898 00:46:58,560 --> 00:47:03,600 Speaker 1: whether we're talking about out other hunters, other farmers, a 899 00:47:03,719 --> 00:47:06,640 Speaker 1: person who has a piece of property that no one 900 00:47:06,760 --> 00:47:11,440 Speaker 1: is touching. Yes, very good. Uh, I just could going 901 00:47:11,480 --> 00:47:15,560 Speaker 1: to get anybody confused her. Yeah, speaking though, of pressure 902 00:47:15,680 --> 00:47:17,759 Speaker 1: related to weather, I just want to I'm not a 903 00:47:17,800 --> 00:47:20,120 Speaker 1: big guy that focuses on the barometer. UM. I want 904 00:47:20,160 --> 00:47:21,719 Speaker 1: to start paying attention to that more. I'm trying to 905 00:47:21,719 --> 00:47:24,279 Speaker 1: pay attention to that more. But historically I haven't done 906 00:47:24,320 --> 00:47:27,319 Speaker 1: a good job of paying attention to when the barometer's falling, 907 00:47:27,480 --> 00:47:29,520 Speaker 1: rising or falling and how that affects what I see 908 00:47:29,560 --> 00:47:31,920 Speaker 1: and anything like that. Um. But just to make a 909 00:47:31,960 --> 00:47:34,720 Speaker 1: point here, we did talk about this topic with Terry 910 00:47:34,760 --> 00:47:38,040 Speaker 1: Drewy on episode number twenty one, I believe, and he 911 00:47:38,080 --> 00:47:40,040 Speaker 1: gave us some great details on that and gave us 912 00:47:40,239 --> 00:47:43,520 Speaker 1: perspective on how the barometer and rising and falling pressure 913 00:47:43,680 --> 00:47:45,840 Speaker 1: impacts the deer movement. So I encourage all of you 914 00:47:45,840 --> 00:47:49,200 Speaker 1: if you haven't listened to that one yet, check it out. Um, 915 00:47:49,320 --> 00:47:50,480 Speaker 1: And I I will say I did take a couple of 916 00:47:50,480 --> 00:47:53,080 Speaker 1: notes on that, and Terry Drewy did say that movement, 917 00:47:53,160 --> 00:47:56,319 Speaker 1: in his opinion, is best on a rising barometer on 918 00:47:56,440 --> 00:47:59,400 Speaker 1: high pressure after a low front has pushed through, so 919 00:47:59,560 --> 00:48:02,200 Speaker 1: low pressure system is pushed through and now all the 920 00:48:02,200 --> 00:48:05,600 Speaker 1: barometer is rising again towards a high pressure system. He 921 00:48:05,680 --> 00:48:08,400 Speaker 1: said that is the best movement. So that would have 922 00:48:08,400 --> 00:48:12,320 Speaker 1: been this weekend. Right, I'm gonna sound like an idiot, 923 00:48:12,360 --> 00:48:13,960 Speaker 1: so I'm just not even gonna try to explain it. 924 00:48:14,000 --> 00:48:16,239 Speaker 1: I don't know. I think right when a when a 925 00:48:16,280 --> 00:48:18,920 Speaker 1: cold front comes through, that's a low pressure system. You know. 926 00:48:18,960 --> 00:48:20,520 Speaker 1: I'm not evenna say because I don't have I don't 927 00:48:20,560 --> 00:48:23,000 Speaker 1: have my cards right on this one. Let's just let's 928 00:48:23,040 --> 00:48:25,960 Speaker 1: just say we do know what we're talking about. I 929 00:48:26,000 --> 00:48:28,440 Speaker 1: think that's what it means. And if I'm wrong, I'm 930 00:48:28,440 --> 00:48:32,320 Speaker 1: sure twenty people will tell me. But um, we also 931 00:48:32,400 --> 00:48:35,440 Speaker 1: had I think it was a waxing or I don't know, 932 00:48:35,560 --> 00:48:37,640 Speaker 1: we had the right moon because as the sun was 933 00:48:37,760 --> 00:48:42,120 Speaker 1: going down, the moon was coming up, so the cold 934 00:48:42,160 --> 00:48:46,320 Speaker 1: front mixed with the right moon phase. If you believe 935 00:48:46,360 --> 00:48:49,880 Speaker 1: in these things. The pressure in the moon and the 936 00:48:49,880 --> 00:48:52,160 Speaker 1: cold temperatures all kind of added up for this first 937 00:48:52,360 --> 00:48:55,480 Speaker 1: for this first season. So if you're if you're listening 938 00:48:55,840 --> 00:48:58,920 Speaker 1: and I got it wrong, then please leave a comment 939 00:48:59,080 --> 00:49:01,040 Speaker 1: and let me know so I don't make the same 940 00:49:01,080 --> 00:49:05,840 Speaker 1: mistake again. Yeah. Ye, don't judge us exactly. Um, but 941 00:49:05,920 --> 00:49:07,640 Speaker 1: I think I think you're right to on the moon thing. 942 00:49:08,000 --> 00:49:10,880 Speaker 1: I do know that the theory is that if the 943 00:49:10,920 --> 00:49:15,440 Speaker 1: moon is rising during daylight hours, is during that typical 944 00:49:15,480 --> 00:49:18,080 Speaker 1: feeding time of the late evening, that is going to 945 00:49:18,719 --> 00:49:21,880 Speaker 1: supposedly trigger a little bit more daily activity, or the 946 00:49:21,920 --> 00:49:24,360 Speaker 1: same thing if the moon is still setting late in 947 00:49:24,400 --> 00:49:26,239 Speaker 1: the morning. So if it's daylight but you still see 948 00:49:26,280 --> 00:49:28,839 Speaker 1: the moon still still setting at that time, that could 949 00:49:28,880 --> 00:49:32,080 Speaker 1: trigger some additional daylight movement too. UM. I know that 950 00:49:32,120 --> 00:49:34,000 Speaker 1: I've read some stuff from one of our previous guests, 951 00:49:34,080 --> 00:49:36,360 Speaker 1: Dan Infult, on that topic, and I just looked at 952 00:49:36,400 --> 00:49:39,360 Speaker 1: my notes again, that's the same thing that Terry Drewy said. Um, 953 00:49:39,400 --> 00:49:41,160 Speaker 1: And I noticed that this weekend too. I saw that 954 00:49:41,200 --> 00:49:43,000 Speaker 1: and thought, hey, that might be a little bit behind 955 00:49:43,000 --> 00:49:44,719 Speaker 1: what I'm seeing here too. So there's there's so many 956 00:49:44,719 --> 00:49:47,480 Speaker 1: different factors that all kind of go into what triggers 957 00:49:47,480 --> 00:49:50,120 Speaker 1: dear movement and increased dear movement. It's an interesting puzzle 958 00:49:50,160 --> 00:49:54,000 Speaker 1: to piece together. UM. But we are running low on 959 00:49:54,120 --> 00:49:56,720 Speaker 1: time here, and so I want to really quickly mention 960 00:49:56,760 --> 00:49:59,640 Speaker 1: a couple of things about hunting during the rain. So 961 00:49:59,680 --> 00:50:01,759 Speaker 1: we talked with the fact that we think that it 962 00:50:01,800 --> 00:50:04,480 Speaker 1: definitely does increase deer movement, possibly during the rain or 963 00:50:04,480 --> 00:50:08,080 Speaker 1: at least for sure after the rain. UM. If you're 964 00:50:08,080 --> 00:50:10,040 Speaker 1: going to hunt in the rain, so during the rain, 965 00:50:10,040 --> 00:50:12,959 Speaker 1: it's the light drizzle, you're out there hunting. UM, there's 966 00:50:12,960 --> 00:50:15,000 Speaker 1: a few things to consider because there is the inherent 967 00:50:15,080 --> 00:50:17,680 Speaker 1: challenge in the risk of bow hunting during the rain 968 00:50:18,239 --> 00:50:20,760 Speaker 1: is that that rain can wash away the blood trail, 969 00:50:21,560 --> 00:50:23,400 Speaker 1: and so that is a really serious thing you need 970 00:50:23,440 --> 00:50:26,800 Speaker 1: to consider and plan around because that's obviously a major issue. 971 00:50:26,880 --> 00:50:28,839 Speaker 1: The one of the most important things is to make 972 00:50:28,840 --> 00:50:30,680 Speaker 1: sure you recover that deer if you shoot it. So 973 00:50:31,160 --> 00:50:32,840 Speaker 1: if you're going to hunt in the rain, I recommend 974 00:50:32,840 --> 00:50:34,120 Speaker 1: a couple of things, and I've written a couple of 975 00:50:34,160 --> 00:50:36,120 Speaker 1: articles on this UM that I can link to with 976 00:50:36,160 --> 00:50:40,000 Speaker 1: more details, but very quickly, I would recommend number one 977 00:50:40,320 --> 00:50:43,759 Speaker 1: that you only take the very very most sure thing 978 00:50:44,040 --> 00:50:47,760 Speaker 1: slam dunk shots that you're comfortable with. Do not take anything, 979 00:50:48,400 --> 00:50:51,279 Speaker 1: um remotely outside of your comfort range. You want to 980 00:50:51,320 --> 00:50:53,960 Speaker 1: make sure you put the absolute best shot on that 981 00:50:54,040 --> 00:50:56,600 Speaker 1: deer that will bring him down or her down as 982 00:50:56,680 --> 00:50:58,719 Speaker 1: quickly as possible. Of course, you want to do that 983 00:50:58,760 --> 00:51:01,000 Speaker 1: all the time, but even more so now I'm not. 984 00:51:01,239 --> 00:51:04,760 Speaker 1: You know, my comfortable range most hunts is forty yards, 985 00:51:04,760 --> 00:51:07,160 Speaker 1: maybe a little past forty yards with my bow. Um. 986 00:51:07,200 --> 00:51:09,759 Speaker 1: I'm pretty comfortable with the fifty now actually, Um, but 987 00:51:10,280 --> 00:51:13,000 Speaker 1: during the rain, I might not shoot anything past twenty. 988 00:51:13,239 --> 00:51:16,239 Speaker 1: I want an absolute perfect slam dunk shot if I'm 989 00:51:16,239 --> 00:51:18,800 Speaker 1: gonna hunt with any kind of precipitation, because I'm counting 990 00:51:18,840 --> 00:51:20,320 Speaker 1: on the fact I'm not gonna get away with a 991 00:51:20,360 --> 00:51:25,200 Speaker 1: long blood trail. Um. You also need to consider then, 992 00:51:25,400 --> 00:51:27,279 Speaker 1: when you're going to take up that blood trawl. And 993 00:51:27,280 --> 00:51:30,080 Speaker 1: there's two theories on this. You can either say you 994 00:51:30,080 --> 00:51:32,120 Speaker 1: want to take up the blood trawl right away because 995 00:51:32,160 --> 00:51:34,319 Speaker 1: you want to start tracking that deer while they're still 996 00:51:34,320 --> 00:51:37,400 Speaker 1: blood on the ground. Some people do that, UM. I 997 00:51:37,440 --> 00:51:40,160 Speaker 1: tend to lean the other way, where I'll wait. I'd 998 00:51:40,239 --> 00:51:43,480 Speaker 1: rather wait a little longer and risk possibly losing some 999 00:51:43,560 --> 00:51:46,520 Speaker 1: of that blood trail, but feeling much more comfortable that 1000 00:51:46,600 --> 00:51:49,400 Speaker 1: I didn't push that deer. Um, if I put a 1001 00:51:49,440 --> 00:51:52,360 Speaker 1: great double long shot on a deer, I'm pretty confident 1002 00:51:52,400 --> 00:51:54,480 Speaker 1: he's gonna be down within a hundred yards or so 1003 00:51:54,520 --> 00:51:57,439 Speaker 1: if I did everything right, and if I am able 1004 00:51:57,520 --> 00:52:00,279 Speaker 1: to get that shot, get the shot, I want be verry. 1005 00:52:00,520 --> 00:52:02,680 Speaker 1: Pay attention to where I last saw that deer, track 1006 00:52:02,760 --> 00:52:04,880 Speaker 1: him as close as it possibly can, and if I 1007 00:52:04,960 --> 00:52:06,879 Speaker 1: leave him late for a long time and don't push him, 1008 00:52:06,880 --> 00:52:08,839 Speaker 1: I'm pretty confident I'll be able to recover that deer 1009 00:52:09,360 --> 00:52:11,600 Speaker 1: if by no other reason than the fact that I 1010 00:52:11,640 --> 00:52:13,319 Speaker 1: can if all else fails, I can do a grid 1011 00:52:13,320 --> 00:52:15,520 Speaker 1: search of a large area around where I last saw him, 1012 00:52:15,680 --> 00:52:17,319 Speaker 1: and if I didn't push him, he should be there. 1013 00:52:18,200 --> 00:52:21,239 Speaker 1: So again, a couple of things to keep in mind. UM. 1014 00:52:21,320 --> 00:52:24,080 Speaker 1: I also having a tracking dog. If you're gonna hunt 1015 00:52:24,080 --> 00:52:25,799 Speaker 1: in the the rain, if you know someone that can help 1016 00:52:25,800 --> 00:52:28,120 Speaker 1: you track with a dog. I've been told that dogs 1017 00:52:28,160 --> 00:52:32,080 Speaker 1: can actually track a deer even better when it's rained. UM, 1018 00:52:32,120 --> 00:52:35,160 Speaker 1: So that's another thing to consider. And I've got luckily 1019 00:52:35,160 --> 00:52:37,160 Speaker 1: a friend of mine UM has a tracking dog, so 1020 00:52:37,160 --> 00:52:39,560 Speaker 1: I have that in my back pocket too, So you 1021 00:52:39,600 --> 00:52:42,239 Speaker 1: need to think about these things. Um, you do not 1022 00:52:42,400 --> 00:52:44,319 Speaker 1: want to take it lightly when you're hunting in the rain. 1023 00:52:44,320 --> 00:52:46,520 Speaker 1: If you're gonna shoot a deer, of course you have 1024 00:52:46,600 --> 00:52:48,440 Speaker 1: to recover that deer. So you really need to be 1025 00:52:48,440 --> 00:52:51,319 Speaker 1: smart about your doing. Don't have any funny business. Um, 1026 00:52:51,360 --> 00:52:53,040 Speaker 1: you want to make sure you're doing things the right way, 1027 00:52:53,280 --> 00:52:55,360 Speaker 1: and recovering that deer is of the utmost important. So 1028 00:52:55,400 --> 00:52:56,799 Speaker 1: just keep that in mind if you're gonna do it. 1029 00:52:57,280 --> 00:52:58,440 Speaker 1: But if you can do it, and you can do 1030 00:52:58,480 --> 00:53:01,200 Speaker 1: it properly and you care about it, there's a great 1031 00:53:01,239 --> 00:53:03,719 Speaker 1: chance of encountering, um, the kind of deer you want 1032 00:53:03,719 --> 00:53:06,239 Speaker 1: to shoot, in my opinion, So that's my my two 1033 00:53:06,239 --> 00:53:08,640 Speaker 1: cents on hunting in the rain. Well, let me just 1034 00:53:08,680 --> 00:53:14,600 Speaker 1: take some notes here. No funny business. That's about the 1035 00:53:14,640 --> 00:53:17,120 Speaker 1: best wisdom I can share to that funny business in 1036 00:53:17,160 --> 00:53:23,040 Speaker 1: the woods with Mark Kenyon. All right, Um, let's I 1037 00:53:23,080 --> 00:53:25,160 Speaker 1: think most of make sure you clear out your peep 1038 00:53:25,160 --> 00:53:27,360 Speaker 1: site too. I've had I've had an instance where I 1039 00:53:27,440 --> 00:53:30,040 Speaker 1: drew back and there was a water droplet in my 1040 00:53:30,320 --> 00:53:33,720 Speaker 1: in my peep site. Yeah, that's a good point, um. 1041 00:53:33,800 --> 00:53:35,160 Speaker 1: And then also you know when it comes to rain. 1042 00:53:35,560 --> 00:53:38,759 Speaker 1: This is just kind of obvious. But make sure you 1043 00:53:38,760 --> 00:53:40,719 Speaker 1: have a good rain gear, brand, tree, umbrella, do all 1044 00:53:40,719 --> 00:53:44,440 Speaker 1: those things to make sure you can be comfortable. Excuse me. Um, 1045 00:53:44,680 --> 00:53:46,000 Speaker 1: Like I said, I like to I like to hunt 1046 00:53:46,000 --> 00:53:47,800 Speaker 1: the rain, so I'll sit out there through a downpour 1047 00:53:47,880 --> 00:53:50,520 Speaker 1: because I'm excited to see what happens once it slows down. 1048 00:53:50,520 --> 00:53:53,480 Speaker 1: So I've sat through some hairy stuff like for example, 1049 00:53:53,600 --> 00:53:56,560 Speaker 1: last night, UM, a couple of big storms passed through, 1050 00:53:56,600 --> 00:53:59,080 Speaker 1: and for the first time ever, I actually felt unsafe 1051 00:53:59,400 --> 00:54:01,319 Speaker 1: up in a tree and I actually wanted to get down, 1052 00:54:01,760 --> 00:54:03,920 Speaker 1: but it was so hairy that I was worried I 1053 00:54:03,920 --> 00:54:06,920 Speaker 1: wouldn't be able to get safely down the tree. Um. 1054 00:54:06,960 --> 00:54:08,759 Speaker 1: It was. It was the worst situation I've been in 1055 00:54:08,800 --> 00:54:10,440 Speaker 1: a tree where the storm pushed through and it just 1056 00:54:10,480 --> 00:54:11,880 Speaker 1: came out of nowhere. I mean, I knew there were 1057 00:54:11,920 --> 00:54:15,760 Speaker 1: some dark clouds coming through, but it came on me fast. 1058 00:54:16,000 --> 00:54:20,520 Speaker 1: It went from nothing to like torrential downpour. And I 1059 00:54:20,520 --> 00:54:22,759 Speaker 1: don't know what the actual mileage was, but I would 1060 00:54:22,800 --> 00:54:26,480 Speaker 1: guess sixty plus mile prower gusts a wind. I mean, 1061 00:54:26,600 --> 00:54:29,360 Speaker 1: this true was really rolling and I actually had a 1062 00:54:29,400 --> 00:54:32,799 Speaker 1: tree branch to start cracking above me. I literally had 1063 00:54:32,840 --> 00:54:34,719 Speaker 1: my arms wrapped around the tree trunk and I was 1064 00:54:34,760 --> 00:54:37,879 Speaker 1: holding onto a to a tree step. Screwed it, just like, 1065 00:54:38,160 --> 00:54:40,560 Speaker 1: please Lord, let this not be the end, not my 1066 00:54:40,640 --> 00:54:46,560 Speaker 1: last hunt. That's funny, it was. It was interesting, So 1067 00:54:47,040 --> 00:54:50,719 Speaker 1: just make sure you're prepared for that. I guess. Let's say, Um, 1068 00:54:50,920 --> 00:54:53,319 Speaker 1: speaking of heavy winds, I don't know what your thoughts 1069 00:54:53,320 --> 00:54:56,879 Speaker 1: are on this, Dan, but with wind, I think most 1070 00:54:56,920 --> 00:54:59,319 Speaker 1: people tend to agree that really heavy winds, like you 1071 00:54:59,400 --> 00:55:01,680 Speaker 1: had mentioned a little bit earlier, do tend to keep 1072 00:55:01,719 --> 00:55:03,960 Speaker 1: deer down a little bit. They don't seem as comfortable 1073 00:55:04,000 --> 00:55:08,239 Speaker 1: moving in really really windy conditions. Um. For me, the 1074 00:55:08,360 --> 00:55:10,080 Speaker 1: number that I've always kind of looked at is if 1075 00:55:10,080 --> 00:55:13,200 Speaker 1: there's like consistent wind over maybe fifteen miles per hour, 1076 00:55:13,400 --> 00:55:18,360 Speaker 1: I'm going to expect less activity. Um that there's no 1077 00:55:18,360 --> 00:55:20,080 Speaker 1: no set rule there, but that seems to be the 1078 00:55:20,080 --> 00:55:22,120 Speaker 1: magic number that I'm usually saying. If it's like in 1079 00:55:22,160 --> 00:55:25,320 Speaker 1: the high teens or twenties, I'm not excited too excited 1080 00:55:25,360 --> 00:55:27,440 Speaker 1: about what I don't see tonight. But if it's you 1081 00:55:27,480 --> 00:55:30,160 Speaker 1: know below that, I'm okay with it. What are your thoughts? 1082 00:55:30,800 --> 00:55:36,160 Speaker 1: I think? Yeah? Um, but where I hunt, there's a 1083 00:55:36,160 --> 00:55:39,840 Speaker 1: lot of role. There's hills, there's draws, and there's there's 1084 00:55:39,920 --> 00:55:44,000 Speaker 1: parts that aren't affected by the wind near as much. Yeah, 1085 00:55:44,040 --> 00:55:47,480 Speaker 1: the wind will probably swirl and do some pretty freaky things. 1086 00:55:47,960 --> 00:55:51,160 Speaker 1: But um, for example, the place that I was hunting 1087 00:55:51,200 --> 00:55:54,719 Speaker 1: on Friday night, it was really windy, uh and it 1088 00:55:54,760 --> 00:55:57,400 Speaker 1: was loud in the timber, which number one helped me 1089 00:55:57,520 --> 00:56:00,440 Speaker 1: do my setup better. I mean I could I could 1090 00:56:00,480 --> 00:56:04,600 Speaker 1: barely hear myself, let alone any any mistakes that I got. 1091 00:56:04,680 --> 00:56:06,839 Speaker 1: But once I got up in the tree, it really 1092 00:56:06,880 --> 00:56:10,400 Speaker 1: wasn't too bad because the the I had the timber 1093 00:56:10,440 --> 00:56:14,120 Speaker 1: blocking a majority because there's still a ton of leaves 1094 00:56:14,160 --> 00:56:17,400 Speaker 1: on the trees, and it was blocking the direct wind. 1095 00:56:17,880 --> 00:56:21,279 Speaker 1: And as far as I was kind of on the 1096 00:56:21,320 --> 00:56:24,160 Speaker 1: back side of a hill, so everything kind of blew 1097 00:56:24,320 --> 00:56:28,000 Speaker 1: off the direct I don't know, the leeward or layward 1098 00:56:28,080 --> 00:56:30,520 Speaker 1: or whatever. The wind hit that opposite side of the 1099 00:56:30,560 --> 00:56:33,480 Speaker 1: hill and kind of pushed it straight up. So the 1100 00:56:33,560 --> 00:56:37,120 Speaker 1: area that I was at was didn't have a ton 1101 00:56:37,160 --> 00:56:39,520 Speaker 1: of wind. Yeah, there was still a lot of wind, 1102 00:56:39,680 --> 00:56:42,760 Speaker 1: but not you know, as much as what you would see. 1103 00:56:42,840 --> 00:56:45,279 Speaker 1: You know, if you look down the tree line and 1104 00:56:45,320 --> 00:56:48,399 Speaker 1: you're seeing these you know, branches whipping around. I wasn't 1105 00:56:48,440 --> 00:56:53,040 Speaker 1: in that in that so yeah, I think um a 1106 00:56:53,040 --> 00:56:55,000 Speaker 1: really good point too that if you can find those 1107 00:56:55,040 --> 00:56:58,319 Speaker 1: areas that's somewhat not affected by the wind as much, 1108 00:56:58,680 --> 00:57:00,719 Speaker 1: you can see some increased movement in those spots too. 1109 00:57:00,760 --> 00:57:04,279 Speaker 1: I know. Um, I was interviewing Bernie Barringer recently for 1110 00:57:04,320 --> 00:57:08,000 Speaker 1: another project and he had mentioned the same thing. Um. 1111 00:57:08,120 --> 00:57:11,759 Speaker 1: So that's something to keep in mind. And another disclaimer 1112 00:57:11,800 --> 00:57:14,520 Speaker 1: when it comes to wind is that also from what 1113 00:57:14,560 --> 00:57:18,040 Speaker 1: I understand and what I've heard, wind speed also is relative, 1114 00:57:18,400 --> 00:57:20,560 Speaker 1: or how dear react to wind is relative. So in 1115 00:57:20,600 --> 00:57:22,400 Speaker 1: an area like where I'm hunting here in Michigan, where 1116 00:57:22,400 --> 00:57:24,680 Speaker 1: we're not necessarily getting so much rain, you know, a 1117 00:57:24,680 --> 00:57:27,160 Speaker 1: fifteen to twenty mile prour wind might be enough to 1118 00:57:27,200 --> 00:57:29,960 Speaker 1: slow it down deer movement some. But in a wide open, 1119 00:57:30,000 --> 00:57:33,640 Speaker 1: flat area, maybe like somewhere in Kansas, where they're getting 1120 00:57:33,920 --> 00:57:37,520 Speaker 1: high winds consistently much more often, those deer become used 1121 00:57:37,560 --> 00:57:38,920 Speaker 1: to it, and they're gonna move a lot more in 1122 00:57:40,160 --> 00:57:43,640 Speaker 1: our wind because that's just what their normal life is like. UM. 1123 00:57:43,680 --> 00:57:45,040 Speaker 1: So I've heard that in a number of times. So 1124 00:57:45,040 --> 00:57:47,439 Speaker 1: that's something I'm pretty confident in saying that. UM, keep 1125 00:57:47,480 --> 00:57:50,360 Speaker 1: that in mind, that's relative to your area. And UM, 1126 00:57:50,400 --> 00:57:53,360 Speaker 1: when wind is higher than what's normal, significantly higher, that's 1127 00:57:53,360 --> 00:57:56,000 Speaker 1: when you might see that UM decrease in deer movement. 1128 00:57:56,040 --> 00:57:59,840 Speaker 1: But it's certainly not a rule. And if other factors 1129 00:57:59,880 --> 00:58:01,840 Speaker 1: are lined up right, you know there's still a chance 1130 00:58:01,840 --> 00:58:04,720 Speaker 1: for success. I mean, this past weekend, I was hunting 1131 00:58:04,760 --> 00:58:07,480 Speaker 1: sometimes where the wind was well over fifteen miles an hour, 1132 00:58:07,520 --> 00:58:09,160 Speaker 1: and I was still seeing a lot of deer. So 1133 00:58:09,880 --> 00:58:12,400 Speaker 1: it's UM, it's something to keep in mind. It's not 1134 00:58:13,000 --> 00:58:15,200 Speaker 1: it's not the downfall of hunting, but it's something that 1135 00:58:15,280 --> 00:58:19,880 Speaker 1: sometimes might put a little bit of damper on things right, right, So, 1136 00:58:20,920 --> 00:58:22,480 Speaker 1: I don't know. We've talked a lot about a lot 1137 00:58:22,480 --> 00:58:24,800 Speaker 1: of different things relating to weather. I think one other 1138 00:58:24,840 --> 00:58:26,600 Speaker 1: thing I suppose we haven't talked about it is snow. 1139 00:58:27,160 --> 00:58:30,280 Speaker 1: I love snow. If there's snow coming down, especially fresh snow, 1140 00:58:30,280 --> 00:58:33,080 Speaker 1: it seems to really get the deer moving, especially when 1141 00:58:33,120 --> 00:58:36,000 Speaker 1: they're we're talking late season, when deer need to get 1142 00:58:36,000 --> 00:58:39,080 Speaker 1: down to find the food source. UM. Super cold weather 1143 00:58:39,200 --> 00:58:41,920 Speaker 1: and snow can be a real dynamite key to to 1144 00:58:42,000 --> 00:58:44,600 Speaker 1: get deer on their feet a little earlier those evenings 1145 00:58:44,640 --> 00:58:48,560 Speaker 1: in late December and early January. UM, I'm assuming have 1146 00:58:48,600 --> 00:58:51,760 Speaker 1: you seen the same thing, Dane. Yeah, if you can 1147 00:58:51,840 --> 00:58:55,480 Speaker 1: find a good quality food source or have a good 1148 00:58:55,520 --> 00:59:00,040 Speaker 1: food plot in late December when that temperature just drops 1149 00:59:00,040 --> 00:59:03,600 Speaker 1: out and it's one of those one of those days 1150 00:59:03,680 --> 00:59:08,479 Speaker 1: where no matter how much clothing you're wearing, that you're 1151 00:59:08,640 --> 00:59:12,760 Speaker 1: cold in ten minutes. And those are the good thing 1152 00:59:12,760 --> 00:59:15,840 Speaker 1: about it is those are typically you could set your 1153 00:59:15,840 --> 00:59:19,720 Speaker 1: clock to some to the deer movement and you go in, 1154 00:59:19,760 --> 00:59:23,439 Speaker 1: you setting your stand twenty minutes and deer already coming 1155 00:59:23,480 --> 00:59:27,080 Speaker 1: by it. But if you can find a good food 1156 00:59:27,080 --> 00:59:31,200 Speaker 1: plot when it's like negative in my area, uh negative, 1157 00:59:31,480 --> 00:59:33,800 Speaker 1: you know, I think this this winter it got even 1158 00:59:33,960 --> 00:59:36,360 Speaker 1: way colder than that, and I think it was like 1159 00:59:36,480 --> 00:59:41,000 Speaker 1: negative twenty and I had um, I had a big 1160 00:59:41,040 --> 00:59:44,080 Speaker 1: buck on trail camera coming into a food source on 1161 00:59:44,120 --> 00:59:48,800 Speaker 1: a pretty consistent basis right at um, right at last light. 1162 00:59:48,960 --> 00:59:51,080 Speaker 1: So I went in the timber there. I mean, we 1163 00:59:51,080 --> 00:59:53,160 Speaker 1: had so much snow I could follow the trails that 1164 00:59:53,200 --> 00:59:56,480 Speaker 1: these deer were walking and set up right on there. 1165 00:59:56,800 --> 00:59:59,320 Speaker 1: Dough would come by, young buck. Dough would come by, 1166 00:59:59,440 --> 01:00:02,560 Speaker 1: and then you know, the big boys were always Roy's 1167 01:00:02,600 --> 01:00:05,120 Speaker 1: the last ones to come to the food source. And 1168 01:00:05,640 --> 01:00:09,400 Speaker 1: if you could, if you could find that, then you 1169 01:00:09,440 --> 01:00:13,440 Speaker 1: have a really good chance of of getting a big, 1170 01:00:13,480 --> 01:00:18,760 Speaker 1: mature deer. Yeah. Those are just dynamite conditions. And you know, again, weather, 1171 01:00:19,000 --> 01:00:21,600 Speaker 1: like you said, play such a big part into success 1172 01:00:21,680 --> 01:00:24,400 Speaker 1: during the late season, and it's better, It's almost better 1173 01:00:24,400 --> 01:00:27,280 Speaker 1: than early season hunting for the pure fact that you 1174 01:00:27,320 --> 01:00:30,560 Speaker 1: have an isolated, isolated food source. All the rest of 1175 01:00:30,560 --> 01:00:33,400 Speaker 1: the food in the timber has typically been picked over. 1176 01:00:33,560 --> 01:00:37,880 Speaker 1: The crops are out, and the deer start grouping up 1177 01:00:37,920 --> 01:00:39,840 Speaker 1: and they go to the one food source until it's gone, 1178 01:00:39,840 --> 01:00:42,000 Speaker 1: and then they go find the next one. Yeah. I 1179 01:00:42,040 --> 01:00:43,840 Speaker 1: think it's those the two things you need. It can 1180 01:00:43,840 --> 01:00:45,560 Speaker 1: be absolutely one of the apps. The best time of 1181 01:00:45,640 --> 01:00:48,800 Speaker 1: year if you've got that that dynamite food source and 1182 01:00:48,840 --> 01:00:51,360 Speaker 1: if you've got a low pressure, if that area hasn't 1183 01:00:51,360 --> 01:00:54,520 Speaker 1: been hammered hard with hunting pressure, and that can man, 1184 01:00:54,560 --> 01:00:56,040 Speaker 1: that can be good. I mean that's what happened last 1185 01:00:56,120 --> 01:00:58,920 Speaker 1: year for me when I killed six shooter. It had 1186 01:00:58,960 --> 01:01:01,480 Speaker 1: been a big, a good cold front, hit a bunch 1187 01:01:01,480 --> 01:01:04,880 Speaker 1: of snow and um just like the day after the 1188 01:01:04,960 --> 01:01:07,360 Speaker 1: front passed through, so it's been like a blizzard for 1189 01:01:07,400 --> 01:01:10,880 Speaker 1: two days. The first day after that blizzard, winds died 1190 01:01:10,920 --> 01:01:13,120 Speaker 1: down a little bit. It was deathly cold and there 1191 01:01:13,200 --> 01:01:15,200 Speaker 1: was you know, six or seven inches of fresh snow, 1192 01:01:15,720 --> 01:01:19,240 Speaker 1: and those deer were on the food hard early and 1193 01:01:19,280 --> 01:01:22,720 Speaker 1: the big boy was on his feet. Ye. So but 1194 01:01:22,760 --> 01:01:25,280 Speaker 1: you know what another interesting thing is they can also 1195 01:01:25,280 --> 01:01:27,120 Speaker 1: move during the front when it comes to snow too. 1196 01:01:27,160 --> 01:01:30,880 Speaker 1: I mean, um my hunt last year December sixth, I 1197 01:01:30,880 --> 01:01:32,880 Speaker 1: think it was when I took a shot at that 1198 01:01:32,920 --> 01:01:36,720 Speaker 1: bucket called Glenn in Ohio. Um, that was during an 1199 01:01:36,800 --> 01:01:39,760 Speaker 1: absolute blizzard. I mean I'm talking you could hardly see 1200 01:01:39,840 --> 01:01:43,400 Speaker 1: it was snowing so hard, nearly horizontal. Those snow was 1201 01:01:43,400 --> 01:01:46,320 Speaker 1: blowing because the winds were so strong. And um, he 1202 01:01:46,400 --> 01:01:49,520 Speaker 1: was on his feet two hours before dark. So you know, 1203 01:01:50,280 --> 01:01:53,680 Speaker 1: there's no rules. But um, I think one thing, if 1204 01:01:53,720 --> 01:01:56,880 Speaker 1: anything we can say from this discussion, it's that weather 1205 01:01:57,040 --> 01:02:01,120 Speaker 1: is a huge, huge, huge influence or your movement and 1206 01:02:01,200 --> 01:02:03,200 Speaker 1: you need to be paying attention to that and making 1207 01:02:03,200 --> 01:02:07,120 Speaker 1: sure to capitalize it, capitalize on it whenever you can. Yeah. 1208 01:02:07,280 --> 01:02:11,200 Speaker 1: And for me, I even though I'm not hunting, I 1209 01:02:11,320 --> 01:02:14,440 Speaker 1: am it's almost like I trained myself. It felt like 1210 01:02:14,480 --> 01:02:17,760 Speaker 1: I'm studying for a test. I am on weather dot 1211 01:02:17,840 --> 01:02:20,360 Speaker 1: com all the time, or you know, any place that 1212 01:02:20,400 --> 01:02:23,640 Speaker 1: tells the weather, the wind speed and the wind direction, 1213 01:02:24,000 --> 01:02:29,200 Speaker 1: and I'm looking at my my aerial maps and I'm saying, Okay, 1214 01:02:29,240 --> 01:02:34,439 Speaker 1: this this wind direction, um and this temperature or whatever, 1215 01:02:34,480 --> 01:02:36,640 Speaker 1: I'm gonna be hunting in this stand or if it's 1216 01:02:36,880 --> 01:02:39,640 Speaker 1: this wind direction and this temperature, I'm gonna be hunting 1217 01:02:39,720 --> 01:02:41,600 Speaker 1: this standard. Or hey, i better stay out of here 1218 01:02:41,640 --> 01:02:44,120 Speaker 1: because there's a chance that the wind does this, or 1219 01:02:44,200 --> 01:02:47,000 Speaker 1: if it's going to rotate, and and there's a there's 1220 01:02:47,000 --> 01:02:49,480 Speaker 1: a ton of different things. But you know, use your 1221 01:02:49,760 --> 01:02:52,680 Speaker 1: use your tool as your your weather dot com and 1222 01:02:52,720 --> 01:02:55,920 Speaker 1: your aerial maps, and I don't know, just just be 1223 01:02:56,320 --> 01:03:01,560 Speaker 1: as observant as possible. Yeah, so true. There's a tool 1224 01:03:01,600 --> 01:03:04,760 Speaker 1: I've been using this year that helps you take those 1225 01:03:04,760 --> 01:03:08,080 Speaker 1: observation to take real time observation data and trail cameras 1226 01:03:08,080 --> 01:03:10,160 Speaker 1: and match it up to the conditions to start seeing 1227 01:03:10,200 --> 01:03:13,080 Speaker 1: how they correlate. UM. It's called hunt soft hunts offt 1228 01:03:13,160 --> 01:03:14,640 Speaker 1: dot com. And what you can do is you can 1229 01:03:15,000 --> 01:03:17,760 Speaker 1: log your sightings or log your trail cameras and then 1230 01:03:17,800 --> 01:03:20,400 Speaker 1: it will take it will pull the historical weather data 1231 01:03:20,440 --> 01:03:22,400 Speaker 1: and conditions, will give you the moon phase, the temperature, 1232 01:03:22,440 --> 01:03:24,360 Speaker 1: wind speed, all that kind of stuff, and then you 1233 01:03:24,360 --> 01:03:27,240 Speaker 1: can start saying, okay, so I saw this, dear here, 1234 01:03:28,040 --> 01:03:30,040 Speaker 1: and even if this was a year or two ago, 1235 01:03:30,040 --> 01:03:31,640 Speaker 1: I'm able to look at this stuff and I say, okay, 1236 01:03:31,680 --> 01:03:35,440 Speaker 1: all interesting, I had a south wind. Um, the temperature 1237 01:03:35,440 --> 01:03:38,240 Speaker 1: had dropped ten degrees over the past twenty four hours, 1238 01:03:38,320 --> 01:03:41,160 Speaker 1: and you know the barometer is rising. That makes sense. 1239 01:03:41,520 --> 01:03:43,320 Speaker 1: So you know, some people do this with a journal. 1240 01:03:43,440 --> 01:03:47,200 Speaker 1: I've done a mediocre job of keeping a physical written journal. Um, 1241 01:03:47,240 --> 01:03:49,000 Speaker 1: but people can do this with that too. But it's 1242 01:03:49,080 --> 01:03:50,920 Speaker 1: nice to be able to take your settings trail, camera, 1243 01:03:50,920 --> 01:03:53,560 Speaker 1: flowers or whatever, and see what those conditions were then 1244 01:03:53,600 --> 01:03:55,120 Speaker 1: at that period of time, so that you can then 1245 01:03:55,160 --> 01:03:56,920 Speaker 1: apply it to, like what you said, in the future, 1246 01:03:57,160 --> 01:04:00,000 Speaker 1: thinking about Okay, I know that in the past, Dear 1247 01:04:00,120 --> 01:04:02,920 Speaker 1: moved past this stand with a south wind and this condition. 1248 01:04:03,360 --> 01:04:05,120 Speaker 1: Maybe this will happen again, or this is something to 1249 01:04:05,240 --> 01:04:07,240 Speaker 1: consider when I'm planning out what to do here in 1250 01:04:07,280 --> 01:04:11,440 Speaker 1: the future. So well, that is, I think we covered 1251 01:04:11,440 --> 01:04:13,840 Speaker 1: a lot there. Um. I even got to go on 1252 01:04:13,880 --> 01:04:15,560 Speaker 1: a couple of rants. So I call us a pretty 1253 01:04:15,560 --> 01:04:18,880 Speaker 1: good day. Yeah, do you feel better after it? I 1254 01:04:18,880 --> 01:04:21,840 Speaker 1: feel a little better. Um, I probably could have kept going, 1255 01:04:21,840 --> 01:04:24,080 Speaker 1: but I'm feel a little better. We don't want to 1256 01:04:24,560 --> 01:04:27,240 Speaker 1: We don't gonna want to ruffle any feathers Mark, I'm 1257 01:04:27,280 --> 01:04:28,880 Speaker 1: a little bit of a feather ruffler, but I'll keep 1258 01:04:28,920 --> 01:04:32,200 Speaker 1: it cool. What do you think, man? Is there anything 1259 01:04:32,200 --> 01:04:34,080 Speaker 1: else we should touch on here today? No, I think 1260 01:04:34,080 --> 01:04:36,440 Speaker 1: we're good to go. Just you know, remember, you know, 1261 01:04:36,560 --> 01:04:40,480 Speaker 1: no funny business. That is it the final parting, The 1262 01:04:40,520 --> 01:04:44,400 Speaker 1: final parting thought today is no funny business. And with 1263 01:04:44,480 --> 01:04:48,000 Speaker 1: that we will wrap things up. But before we shut down, 1264 01:04:48,040 --> 01:04:51,000 Speaker 1: I did want to share a pretty exciting announcement for 1265 01:04:51,000 --> 01:04:52,800 Speaker 1: those who didn't see on the website earlier this week, 1266 01:04:52,840 --> 01:04:55,360 Speaker 1: We've just launched something called The Rules of the Rut 1267 01:04:55,480 --> 01:04:57,880 Speaker 1: two point oh and just a few weeks now, we're 1268 01:04:57,880 --> 01:05:00,640 Speaker 1: all going to be turning our attention to that exciting 1269 01:05:00,680 --> 01:05:03,480 Speaker 1: time of year, the Rut, and that's what this new 1270 01:05:03,520 --> 01:05:06,439 Speaker 1: set of products is focused on. Included in the Rules 1271 01:05:06,480 --> 01:05:08,000 Speaker 1: of the Rut two point oh is a set of 1272 01:05:08,080 --> 01:05:12,440 Speaker 1: two e books in three brand new exclusive podcasts with 1273 01:05:12,520 --> 01:05:15,840 Speaker 1: nearly three hours of original content. Now some of you 1274 01:05:15,880 --> 01:05:17,720 Speaker 1: may have seen the original Rules of the Rut e 1275 01:05:17,800 --> 01:05:21,040 Speaker 1: book that we launched last year that featured nineteen chapters 1276 01:05:21,040 --> 01:05:24,480 Speaker 1: of really great rut hunting insight provided by some incredible 1277 01:05:24,480 --> 01:05:27,960 Speaker 1: white tailed minds like Chris Eberhard, Don Haggen's and some 1278 01:05:28,000 --> 01:05:30,600 Speaker 1: of our previous guests in the podcast like Jeff Sturgis 1279 01:05:30,600 --> 01:05:33,320 Speaker 1: and Craig Doherty and many more. Now, with the Rules 1280 01:05:33,320 --> 01:05:35,959 Speaker 1: of the Rut two point oh, you'll get that original book, 1281 01:05:36,120 --> 01:05:39,080 Speaker 1: plus a brand new twenty chapter e book featuring all 1282 01:05:39,120 --> 01:05:42,720 Speaker 1: new content from another great slew of contributors like Scott 1283 01:05:42,720 --> 01:05:46,280 Speaker 1: Bestel from Field Stream, Bernie Berenger, and Dan Infall, who 1284 01:05:46,280 --> 01:05:48,640 Speaker 1: we both both heard from on the podcast. And then 1285 01:05:48,680 --> 01:05:50,960 Speaker 1: in addition to that, you'll get the Rules of the 1286 01:05:51,040 --> 01:05:53,640 Speaker 1: Rut two point oh podcast series, which is a three 1287 01:05:53,680 --> 01:05:58,320 Speaker 1: part podcast series featuring fifteen really incredible guests talking about 1288 01:05:58,360 --> 01:06:01,440 Speaker 1: all aspects of the rut um, rutting behavior, hunting the 1289 01:06:01,520 --> 01:06:04,520 Speaker 1: rut um, all sorts of different tactics and strategies. It's 1290 01:06:04,600 --> 01:06:07,520 Speaker 1: it's honestly the most comprehensive resource on the rut that 1291 01:06:07,560 --> 01:06:10,640 Speaker 1: I've ever seen, and I'm just absolutely thrilled to be 1292 01:06:10,720 --> 01:06:12,880 Speaker 1: sharing this with you guys, So to pick up a 1293 01:06:12,920 --> 01:06:15,480 Speaker 1: copy of the Rules of the Rut two point oh package, 1294 01:06:15,600 --> 01:06:17,640 Speaker 1: you can go to wired hunt dot com and look 1295 01:06:17,640 --> 01:06:19,360 Speaker 1: for the Rules of the RUT two point oh link 1296 01:06:19,480 --> 01:06:22,360 Speaker 1: in our top menu bar, or you can visit wired 1297 01:06:22,440 --> 01:06:25,960 Speaker 1: hunt dot com Slash episode twenty six today to click 1298 01:06:25,960 --> 01:06:27,720 Speaker 1: the link there in our show notes and we'll have 1299 01:06:27,800 --> 01:06:32,040 Speaker 1: all that available for you right there. So that all said, 1300 01:06:32,080 --> 01:06:34,880 Speaker 1: back to our usual closing remarks. If you've been enjoying 1301 01:06:34,880 --> 01:06:37,240 Speaker 1: the podcast, you know, as we always ask, we would 1302 01:06:37,240 --> 01:06:39,560 Speaker 1: really appreciate if you could leave a rating or review 1303 01:06:39,920 --> 01:06:43,680 Speaker 1: on iTunes. That's a huge help, so thank you in advance. Also, 1304 01:06:43,720 --> 01:06:45,440 Speaker 1: we'd like to thank our partners who helped make this 1305 01:06:45,480 --> 01:06:48,560 Speaker 1: show possible so big thanks to Sick of Gear, Trophy, 1306 01:06:48,640 --> 01:06:53,840 Speaker 1: Ridge Bear Archery, Redneck Blinds, Carbon Express Arrows, Hunt Soft Lacrosse, Boots, 1307 01:06:53,960 --> 01:06:56,320 Speaker 1: Big and J Long Range Attractings, and the White Tail 1308 01:06:56,440 --> 01:07:00,240 Speaker 1: Institute of North America. Finally, be sure to visit wired 1309 01:07:00,280 --> 01:07:03,640 Speaker 1: to Hunt dot com Slash episode to be the show 1310 01:07:03,680 --> 01:07:06,400 Speaker 1: notes and links from today's episode, and check out Dan's 1311 01:07:06,440 --> 01:07:09,400 Speaker 1: blog The nine Finger Chronicles dot com or more on 1312 01:07:09,440 --> 01:07:12,600 Speaker 1: how his opening week hunts went as well. That'll said 1313 01:07:12,640 --> 01:07:14,960 Speaker 1: thank you all so much for being here with list today. 1314 01:07:15,280 --> 01:07:16,720 Speaker 1: I hope you've been able to get out on hunting 1315 01:07:16,720 --> 01:07:19,040 Speaker 1: and that luck has been on your side. But if not, 1316 01:07:19,280 --> 01:07:21,919 Speaker 1: I wish you could luck soon enjoy these early days 1317 01:07:21,920 --> 01:07:24,040 Speaker 1: of the hunting season. Let's stay wired to hunt.