1 00:00:02,880 --> 00:00:06,480 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,559 --> 00:00:11,520 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,920 --> 00:00:16,720 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:16,720 --> 00:00:20,480 Speaker 1: your host, Mark Kenyan, and this is episode number We're 5 00:00:20,520 --> 00:00:23,680 Speaker 1: back today for another rout Fresh Radio episode in which 6 00:00:23,680 --> 00:00:27,400 Speaker 1: we're getting the latest late season intel on current conditions, 7 00:00:27,840 --> 00:00:30,800 Speaker 1: deer activity, and how to fill a tag right now, 8 00:00:43,800 --> 00:00:47,000 Speaker 1: all right, welcome to the Wired to Hunt podcast, brought 9 00:00:47,120 --> 00:00:50,000 Speaker 1: by brought to you, brought by brought to you by 10 00:00:50,360 --> 00:00:54,440 Speaker 1: something by Onyx. We're here on X is helping Spencers 11 00:00:54,480 --> 00:00:57,520 Speaker 1: with me too, and we are actually recording the introduction 12 00:00:57,680 --> 00:01:02,400 Speaker 1: of this episode of rot Fresh Radio in Montana together. 13 00:01:03,200 --> 00:01:06,560 Speaker 1: I'm looking at Spencer's beautiful blue eyes right in front 14 00:01:06,560 --> 00:01:09,600 Speaker 1: of me, the burly man Beard, the big deep voice 15 00:01:09,680 --> 00:01:13,440 Speaker 1: himself in the flesh. It's quite a privilege, never been 16 00:01:13,440 --> 00:01:16,200 Speaker 1: done before. I think rud Fresh in person, No, I 17 00:01:16,200 --> 00:01:18,920 Speaker 1: don't think that's I think you're right. Well, like I said, 18 00:01:18,959 --> 00:01:22,160 Speaker 1: we are here for the rout Fresh Radio edition of 19 00:01:22,240 --> 00:01:24,640 Speaker 1: Wired Hunting, which we are going to be hearing from 20 00:01:24,640 --> 00:01:26,959 Speaker 1: a group of hunters from across the country to get 21 00:01:26,959 --> 00:01:31,200 Speaker 1: the latest on deer activity on how conditions are impacting 22 00:01:31,240 --> 00:01:34,479 Speaker 1: deer and deer hunting right now this week, and tactics 23 00:01:34,480 --> 00:01:38,120 Speaker 1: and ideas for getting it done over the coming days. 24 00:01:38,160 --> 00:01:42,119 Speaker 1: The hunting season is approaching the end, so you might 25 00:01:42,120 --> 00:01:44,679 Speaker 1: be feeling the pressure. Got to fill that freezer with 26 00:01:44,800 --> 00:01:48,360 Speaker 1: the remaining days on the calendar, and uh, we're here 27 00:01:48,400 --> 00:01:49,760 Speaker 1: to try to help you do that. Now. I gotta 28 00:01:49,840 --> 00:01:54,520 Speaker 1: bring something to everyone's attention. Uh. And it's much more 29 00:01:54,560 --> 00:01:56,240 Speaker 1: fun to do this with Spencer here in person. I 30 00:01:56,280 --> 00:01:58,080 Speaker 1: got an email the other day. It was either an 31 00:01:58,080 --> 00:02:00,120 Speaker 1: email or review. I can't remember where I saw, but 32 00:02:00,200 --> 00:02:05,040 Speaker 1: somebody said Spencer new Heart is the worst co host 33 00:02:05,400 --> 00:02:08,400 Speaker 1: because he's obviously faking his voice. There's no way he 34 00:02:08,480 --> 00:02:12,600 Speaker 1: really sounds like that in person. He's trying too hard. Uh, 35 00:02:12,960 --> 00:02:16,400 Speaker 1: he's a fraud. Get him off the show. So I 36 00:02:16,520 --> 00:02:20,679 Speaker 1: just need to let everybody know, well, we actually have 37 00:02:20,720 --> 00:02:23,680 Speaker 1: a third person in the studio with us today. UH. 38 00:02:24,400 --> 00:02:28,200 Speaker 1: Special guest appearance on Refresh Radio, someone who you might 39 00:02:28,240 --> 00:02:30,640 Speaker 1: have heard on the Mediator podcast. He might have heard 40 00:02:31,000 --> 00:02:34,600 Speaker 1: on the Hunting Collective podcast. We got Phil the audio 41 00:02:34,680 --> 00:02:37,520 Speaker 1: engineer helping us out here today. Phil, can you help 42 00:02:37,720 --> 00:02:41,720 Speaker 1: us shine some light on the truth of Spencer's voice. Uh, well, 43 00:02:41,720 --> 00:02:44,680 Speaker 1: it's pretty simple. That's that's what he sounds like. And 44 00:02:44,680 --> 00:02:47,200 Speaker 1: there's no audio magic, there's no No. I don't do 45 00:02:47,280 --> 00:02:50,440 Speaker 1: any manipulation. I don't think you do either. No, that's 46 00:02:50,480 --> 00:02:53,360 Speaker 1: just that's what comes out of his his mouth. What 47 00:02:53,440 --> 00:02:54,720 Speaker 1: do you How do you feel about that? Does he 48 00:02:54,840 --> 00:02:59,840 Speaker 1: sound unbelievable? Does he sound impossibly deep and mellow and 49 00:03:00,080 --> 00:03:02,600 Speaker 1: sensual to you? He does? But that's not a that's 50 00:03:02,639 --> 00:03:07,240 Speaker 1: not a bad thing. I don't know, No, no, I agree, 51 00:03:07,320 --> 00:03:10,200 Speaker 1: you know. It's like something I've been actually conscious of. 52 00:03:10,720 --> 00:03:13,040 Speaker 1: I remember in high school there was this girl from 53 00:03:13,040 --> 00:03:14,680 Speaker 1: a high school I was dating a guy from a 54 00:03:14,680 --> 00:03:16,600 Speaker 1: different school, and like we we had a lot of 55 00:03:16,600 --> 00:03:18,680 Speaker 1: reasons to dislike him, but one of them was that 56 00:03:18,800 --> 00:03:21,799 Speaker 1: it seemed like he was trying really hard to make 57 00:03:21,880 --> 00:03:24,240 Speaker 1: his voice deep. And so if we were like to 58 00:03:24,320 --> 00:03:26,280 Speaker 1: list off things why we didn't like this person, be like, 59 00:03:27,120 --> 00:03:29,360 Speaker 1: and he like tries to make his voice sound really deep. 60 00:03:29,639 --> 00:03:33,000 Speaker 1: And so since then I've been conscious of like having 61 00:03:33,080 --> 00:03:36,000 Speaker 1: that not be something that someone tries to call me 62 00:03:36,040 --> 00:03:38,400 Speaker 1: out for, like really trying to be a tough guy 63 00:03:38,800 --> 00:03:40,640 Speaker 1: and trying to deepen my voice. You don't want to 64 00:03:40,680 --> 00:03:43,000 Speaker 1: be the pot calling the kettle black. That's right, I don't. 65 00:03:43,040 --> 00:03:45,520 Speaker 1: I think back to that often. Well, there's this thing. 66 00:03:45,720 --> 00:03:48,000 Speaker 1: I got criticized for this too. We were talking about 67 00:03:48,000 --> 00:03:50,840 Speaker 1: this last night. There's this I don't even really know 68 00:03:50,880 --> 00:03:52,800 Speaker 1: how to describe it, but some type of way that 69 00:03:52,880 --> 00:03:58,480 Speaker 1: people uh talk that's been labeled as is called vocal fry. 70 00:03:58,840 --> 00:04:01,680 Speaker 1: I don't. I don't know how describ some certain way 71 00:04:01,680 --> 00:04:05,960 Speaker 1: people intonate or whatever. And someone also harassed me about 72 00:04:05,960 --> 00:04:08,560 Speaker 1: doing that. So both of our voices have been underneath 73 00:04:08,600 --> 00:04:11,000 Speaker 1: the spotlight lately. Um. I don't know to tell you. 74 00:04:11,040 --> 00:04:15,200 Speaker 1: There's nothing I can do. We can't change it. Um, 75 00:04:15,240 --> 00:04:18,600 Speaker 1: but I do wonder I have theorized. I've been curious. 76 00:04:19,000 --> 00:04:22,080 Speaker 1: Are you familiar with the story of Samson. It's a 77 00:04:22,120 --> 00:04:24,280 Speaker 1: bit long story, long hair Sampson, and when they cut 78 00:04:24,279 --> 00:04:27,480 Speaker 1: his hair, he lost all his superhuman powers. Well, I've 79 00:04:27,520 --> 00:04:30,960 Speaker 1: often wondered if Spencer shaved off his beard, would he 80 00:04:31,040 --> 00:04:34,919 Speaker 1: lose his deep man voice. Let's not find out, Phil, 81 00:04:35,400 --> 00:04:37,560 Speaker 1: what's your guests? Yeah, well, I I had to grow 82 00:04:37,600 --> 00:04:39,480 Speaker 1: a bad mustache for Ben's show, so I think it's 83 00:04:39,480 --> 00:04:42,960 Speaker 1: only fair that Spencer has to shake his beard. I 84 00:04:43,000 --> 00:04:45,360 Speaker 1: think that's a good idea. Now, I haven't seen my 85 00:04:45,440 --> 00:04:49,200 Speaker 1: chain in like four years. Don't plan on it. I 86 00:04:49,240 --> 00:04:52,000 Speaker 1: guess we'll never find out that. We'll have to find 87 00:04:52,080 --> 00:04:53,960 Speaker 1: some way to make this happen over the over the 88 00:04:54,000 --> 00:04:57,559 Speaker 1: coming years. I'm gonna do some thinking on it. But uh, 89 00:04:57,600 --> 00:04:59,279 Speaker 1: with that out of the way, we do want to 90 00:04:59,279 --> 00:05:03,000 Speaker 1: talk about de We do want to talk about deer hunting. Um. 91 00:05:03,120 --> 00:05:05,279 Speaker 1: We've got a whole bunch of people that have reports 92 00:05:05,320 --> 00:05:07,520 Speaker 1: on what's been going on in the woods over the 93 00:05:07,600 --> 00:05:10,719 Speaker 1: last seven days or so. I've got a couple small 94 00:05:10,800 --> 00:05:13,440 Speaker 1: updates on my end in Michigan, Spencer, how do you 95 00:05:13,440 --> 00:05:17,240 Speaker 1: want to hear about that? All? Okay? Quick update is 96 00:05:17,320 --> 00:05:20,599 Speaker 1: that there are still some decent bucks moving around in 97 00:05:20,720 --> 00:05:25,320 Speaker 1: pockets of sanctuary cover. There's little zone on one of 98 00:05:25,360 --> 00:05:28,920 Speaker 1: the properties I hunt where there's still two mature bucks 99 00:05:28,920 --> 00:05:31,360 Speaker 1: moving in daylight. I saw Trand the other day when 100 00:05:31,400 --> 00:05:35,640 Speaker 1: glassing from my little hillside, UH, spying location on him. 101 00:05:35,680 --> 00:05:38,080 Speaker 1: I saw him. He's still alive. Then I got pictures. 102 00:05:38,080 --> 00:05:41,800 Speaker 1: I want to check trail cameras. Checked trail cameras over 103 00:05:41,839 --> 00:05:44,960 Speaker 1: the weekend and got pictures of him as recently as 104 00:05:45,200 --> 00:05:47,599 Speaker 1: that weekend. So he's out there moving around a little bit. 105 00:05:47,640 --> 00:05:50,599 Speaker 1: And then I talked to a neighbor who saw him 106 00:05:50,640 --> 00:05:53,640 Speaker 1: moving in daylight one morning, as well as a different 107 00:05:53,680 --> 00:05:56,120 Speaker 1: mature buck that I've never seen and never gotten pictures of. 108 00:05:56,200 --> 00:06:01,600 Speaker 1: But he's right there next to us. UM, So that's positive. 109 00:06:02,120 --> 00:06:06,919 Speaker 1: That's good to see. UM. I think it is conditioned dependent, though, 110 00:06:07,000 --> 00:06:08,640 Speaker 1: And I know that's something that we're probably gonna talk 111 00:06:08,640 --> 00:06:10,960 Speaker 1: about or here about from other folks today in the episode. 112 00:06:11,000 --> 00:06:13,360 Speaker 1: Is that at least what I'm doing right now. I'm 113 00:06:13,400 --> 00:06:14,880 Speaker 1: here in Montana with you, but as soon as I 114 00:06:14,880 --> 00:06:17,440 Speaker 1: get home, I'm gonna be looking at the weather forecast 115 00:06:17,600 --> 00:06:22,800 Speaker 1: and trying to plan careful strikes on this property when 116 00:06:22,839 --> 00:06:25,880 Speaker 1: conditions are right. Yeah. And until we started doing a 117 00:06:26,200 --> 00:06:29,800 Speaker 1: radio UM once the calendar flip to December, I never 118 00:06:29,839 --> 00:06:33,880 Speaker 1: really considered how the weather affected dear movement. I would consider, 119 00:06:33,960 --> 00:06:37,000 Speaker 1: like how really cold weather or snow or wind would 120 00:06:37,000 --> 00:06:39,760 Speaker 1: affect me as a hunter and like being comfortable out there. 121 00:06:40,320 --> 00:06:41,960 Speaker 1: But until I heard you and a lot of other 122 00:06:42,000 --> 00:06:45,880 Speaker 1: guys start talking about um warm spells and cold fronts 123 00:06:46,120 --> 00:06:50,920 Speaker 1: and precipitation come December, I never really considered how that 124 00:06:51,040 --> 00:06:53,520 Speaker 1: can play a part in the set up for a haunt, 125 00:06:53,600 --> 00:06:55,200 Speaker 1: and we do hear about that this week, and you 126 00:06:55,320 --> 00:06:58,000 Speaker 1: just covered it on the Meat Eatior dot com. So 127 00:06:58,080 --> 00:06:59,960 Speaker 1: give us a quick overview on like what is good 128 00:07:00,000 --> 00:07:03,159 Speaker 1: weather in bad weather for late season? Yeah, so there's 129 00:07:03,160 --> 00:07:05,400 Speaker 1: this article. I think we titled it something like how 130 00:07:06,000 --> 00:07:09,159 Speaker 1: late season weather impacts deer movement or something along those lines. 131 00:07:09,560 --> 00:07:12,360 Speaker 1: Basic just being right. At this point in the year, 132 00:07:12,400 --> 00:07:15,880 Speaker 1: these deer have been hunted for months. They're extremely weary, 133 00:07:15,920 --> 00:07:20,000 Speaker 1: they're sick and tired of humans hunters badgering them all 134 00:07:20,000 --> 00:07:22,600 Speaker 1: the time. So these deer are reluctant to move, especially 135 00:07:22,680 --> 00:07:25,080 Speaker 1: mature bucks. So at this time, the way I look 136 00:07:25,120 --> 00:07:26,960 Speaker 1: at things is that you have to be extra careful 137 00:07:26,960 --> 00:07:28,880 Speaker 1: about when you go in there and apply hunting pressure 138 00:07:28,880 --> 00:07:31,280 Speaker 1: because any mistake you make, and this is true any 139 00:07:31,280 --> 00:07:33,520 Speaker 1: time of year, but even more so now given that 140 00:07:33,560 --> 00:07:37,320 Speaker 1: worth at the end um any mistake you make could 141 00:07:37,320 --> 00:07:40,800 Speaker 1: turn that buck nocturnal again, could keep him from ever 142 00:07:40,800 --> 00:07:43,160 Speaker 1: giving you an opportunity. So I wait until the right 143 00:07:43,200 --> 00:07:45,520 Speaker 1: conditions are present, which would be one of these late 144 00:07:45,560 --> 00:07:48,200 Speaker 1: season fronts that will get those deer up on their 145 00:07:48,240 --> 00:07:50,800 Speaker 1: feet earlier and for longer periods of time. So that's 146 00:07:50,840 --> 00:07:52,960 Speaker 1: typically to come in the form of two things. Number one, 147 00:07:53,360 --> 00:07:56,360 Speaker 1: a significant snow system. When you get a lot of 148 00:07:56,360 --> 00:07:59,320 Speaker 1: precipitation that covers the ground and it puts deer down 149 00:07:59,360 --> 00:08:02,640 Speaker 1: for a while. You've get this um oh, I don't 150 00:08:02,640 --> 00:08:04,560 Speaker 1: know how you describe it. But when you've got a 151 00:08:04,560 --> 00:08:06,960 Speaker 1: strong storm coming. This could be true with a rainstorm 152 00:08:07,080 --> 00:08:12,119 Speaker 1: or a snow storm, but heavy precipitation, strong winds, that's 153 00:08:12,120 --> 00:08:14,400 Speaker 1: going to usually slow movement down for a period of 154 00:08:14,440 --> 00:08:16,520 Speaker 1: time around that actual event. Right, they don't want to 155 00:08:16,560 --> 00:08:18,560 Speaker 1: be out moving as much in a big blizzard. They're 156 00:08:18,560 --> 00:08:20,520 Speaker 1: gonna bed down through the worst of it. But as 157 00:08:20,560 --> 00:08:22,680 Speaker 1: soon as it slows up, as soon as it dies 158 00:08:22,720 --> 00:08:26,040 Speaker 1: down and that high pressure system moves through, usually the 159 00:08:26,040 --> 00:08:30,080 Speaker 1: cloud cover might break, blue skies, high pressure, colder temperatures, 160 00:08:30,120 --> 00:08:32,280 Speaker 1: and all that snow settled. All those deer all of 161 00:08:32,280 --> 00:08:35,160 Speaker 1: a sudden on their feet, and there's this latent hunt. Right. 162 00:08:35,160 --> 00:08:37,880 Speaker 1: They've been haven't been feeding for a while. Now they're hungry. 163 00:08:37,920 --> 00:08:39,840 Speaker 1: They want to get after it. They want to start 164 00:08:39,880 --> 00:08:43,800 Speaker 1: accruing some calories. So that's gonna get deer up on 165 00:08:43,800 --> 00:08:45,439 Speaker 1: their feet and moving earlier as well as then the 166 00:08:45,480 --> 00:08:48,080 Speaker 1: second thing, which hopefully comes with that, which is colder 167 00:08:48,080 --> 00:08:50,880 Speaker 1: temperatures if you get a significant cold front. We talked 168 00:08:50,880 --> 00:08:54,440 Speaker 1: about this all year, right, cold fronts make a difference, 169 00:08:54,440 --> 00:08:56,400 Speaker 1: but especially in the late season, when you get a 170 00:08:56,480 --> 00:08:59,360 Speaker 1: super duper arctic front pushing through where you're dropping down 171 00:08:59,400 --> 00:09:02,720 Speaker 1: to maybe single digit temperatures or something, you might have 172 00:09:02,800 --> 00:09:06,600 Speaker 1: that special circumstance with that one old buck in the area. 173 00:09:06,720 --> 00:09:09,640 Speaker 1: Finally is like a damn it, I'm moving. It might 174 00:09:09,720 --> 00:09:11,520 Speaker 1: be an hour before dark. I usually don't like to 175 00:09:11,520 --> 00:09:14,240 Speaker 1: move until dark, but it's so cold I need I'm 176 00:09:14,240 --> 00:09:17,360 Speaker 1: burdening a lot of calories to stay warm. I gotta 177 00:09:17,360 --> 00:09:19,760 Speaker 1: get that food bag on. And you might have this 178 00:09:19,880 --> 00:09:23,480 Speaker 1: special opportunity when those one of those two things happened. Um, 179 00:09:23,520 --> 00:09:25,480 Speaker 1: So that's what I'm watching for. Of course, there's a 180 00:09:25,520 --> 00:09:28,280 Speaker 1: whole lot of other things, Like you mentioned how snow 181 00:09:28,280 --> 00:09:31,560 Speaker 1: and cold impact us as hunters, how it might impact 182 00:09:31,559 --> 00:09:33,960 Speaker 1: your ability to scout. I mean, snow on the ground 183 00:09:34,160 --> 00:09:36,080 Speaker 1: really changes the game. As far as the sign you 184 00:09:36,120 --> 00:09:39,360 Speaker 1: can see, that's something else to think about. Um. But 185 00:09:39,440 --> 00:09:41,920 Speaker 1: more than anything, I want to see those weather systems 186 00:09:41,920 --> 00:09:44,280 Speaker 1: helping me choose the days to get out there and 187 00:09:44,320 --> 00:09:48,760 Speaker 1: take those last few calculated strikes. Yeah, all good things 188 00:09:48,760 --> 00:09:50,559 Speaker 1: to consider and all things that we'll talk about with 189 00:09:50,559 --> 00:09:52,839 Speaker 1: our guests this week, who are Byron Horton from the 190 00:09:52,840 --> 00:09:55,640 Speaker 1: White Tail Experience in Ohio. Then we go to Oklahoma 191 00:09:55,640 --> 00:09:58,839 Speaker 1: and talk to Caleb Combs from Stewart Ranch Outfitters. Then 192 00:09:58,840 --> 00:10:01,200 Speaker 1: we go to New Amshure and talked to Brett Joy 193 00:10:01,360 --> 00:10:03,079 Speaker 1: from Real Tree c Bucks. And then we end with 194 00:10:03,200 --> 00:10:07,360 Speaker 1: Josh Sparks and Iowa from Midwest White Tails and Brett Joy. 195 00:10:07,480 --> 00:10:09,600 Speaker 1: We gotta we gotta mention here. You get a double 196 00:10:09,640 --> 00:10:12,400 Speaker 1: dose of Brett Joy this week because he just had 197 00:10:13,840 --> 00:10:18,559 Speaker 1: a hell of a hunt, had some really um I 198 00:10:18,559 --> 00:10:21,640 Speaker 1: don't know how you describe that whole lot of different factors, 199 00:10:21,720 --> 00:10:27,040 Speaker 1: many years of work came together leading to an incredible 200 00:10:27,240 --> 00:10:29,840 Speaker 1: late season buck over there in New Hampshire. So we're 201 00:10:29,840 --> 00:10:31,280 Speaker 1: gonna hear from him a little bit today as he 202 00:10:31,320 --> 00:10:34,000 Speaker 1: talks about the activity he's seeing in a little bit 203 00:10:34,000 --> 00:10:36,760 Speaker 1: of what led to his success. And then tomorrow on 204 00:10:36,840 --> 00:10:39,080 Speaker 1: the main Wired Hunt episode, you get the deep dive 205 00:10:39,160 --> 00:10:41,280 Speaker 1: with Brett. I brought him on the main episode of 206 00:10:41,280 --> 00:10:44,240 Speaker 1: the podcast to go through his story in detail. This 207 00:10:44,240 --> 00:10:47,080 Speaker 1: this four year story in detail. Break it all down 208 00:10:47,200 --> 00:10:52,600 Speaker 1: and how he eventually did kill a mid December, big old, 209 00:10:52,640 --> 00:10:54,760 Speaker 1: mature white tail buck in the mountains of New Hampshire. Mean, 210 00:10:54,800 --> 00:10:56,880 Speaker 1: it's a cool story. We talked about that, and then 211 00:10:56,920 --> 00:10:58,720 Speaker 1: we talked about some other ideas when it comes to 212 00:10:58,800 --> 00:11:02,600 Speaker 1: late season hunting. Um to help everybody, myself included, I'm 213 00:11:02,600 --> 00:11:04,800 Speaker 1: still trying to kill my laces and buck um to 214 00:11:04,800 --> 00:11:09,640 Speaker 1: help us all get those final ideas. Um, those final 215 00:11:09,720 --> 00:11:12,520 Speaker 1: ideas for the final days. That's what That's where we're at. Spencer. 216 00:11:12,559 --> 00:11:16,760 Speaker 1: Do you feel at this point in the year any 217 00:11:16,880 --> 00:11:22,040 Speaker 1: sense of sadness that the season is closing up or 218 00:11:22,080 --> 00:11:25,560 Speaker 1: any sense of remorse that it slipped through your fingers 219 00:11:25,559 --> 00:11:28,120 Speaker 1: and you didn't get you didn't squeeze every last little 220 00:11:28,120 --> 00:11:30,120 Speaker 1: bit of juice out of the orange of the hunting season, 221 00:11:30,440 --> 00:11:32,840 Speaker 1: or do you feel like you got it all, you 222 00:11:33,040 --> 00:11:35,640 Speaker 1: soaked it all? And where are you at right now? Yeah? 223 00:11:35,679 --> 00:11:37,640 Speaker 1: I think this year is no different than other ones 224 00:11:37,840 --> 00:11:42,280 Speaker 1: that I'm typically not satisfied come mid December, and then 225 00:11:42,320 --> 00:11:47,480 Speaker 1: I'm already looking forward. What can I do different? Um? 226 00:11:47,520 --> 00:11:49,840 Speaker 1: Where can I pick up additional tags, how can I 227 00:11:49,880 --> 00:11:52,360 Speaker 1: plan better? All that sort of stuff. So I think 228 00:11:52,840 --> 00:11:55,200 Speaker 1: even if I had killed ten bucks this year, all 229 00:11:55,240 --> 00:11:57,320 Speaker 1: poping Young and Bud and Crockett. I'd still be like, 230 00:11:57,679 --> 00:12:00,680 Speaker 1: damn it, I want it to be next fall right now, 231 00:12:01,320 --> 00:12:03,800 Speaker 1: I want more. Yep. Well, soon here, we're gonna do 232 00:12:03,840 --> 00:12:06,680 Speaker 1: a wrap up episode on Refresh Radio. I'm not exactly 233 00:12:06,760 --> 00:12:09,280 Speaker 1: sure which week we're gonna do that, but soon, and 234 00:12:09,480 --> 00:12:11,440 Speaker 1: I'm gonna grill you a little bit more on your 235 00:12:11,520 --> 00:12:14,600 Speaker 1: year and your thoughts and and mostly just how irritated 236 00:12:14,600 --> 00:12:17,360 Speaker 1: I am with you for you not white Tail anymore. Um, 237 00:12:17,400 --> 00:12:19,679 Speaker 1: but we'll say that for a later days we'll talk 238 00:12:19,679 --> 00:12:22,680 Speaker 1: to you that. Let's do it alright. And joining us 239 00:12:22,720 --> 00:12:25,240 Speaker 1: on the line first is Byron Horton from white Tail 240 00:12:25,320 --> 00:12:28,400 Speaker 1: Experience in Ohio. Now, Byron in Ohio, what would you 241 00:12:28,400 --> 00:12:30,640 Speaker 1: say the bucket activities been lately on a scale of 242 00:12:30,679 --> 00:12:34,160 Speaker 1: one to ten, So I would say we're at a 243 00:12:34,200 --> 00:12:37,199 Speaker 1: solid too right now as far as buck activity in Ohio. 244 00:12:37,200 --> 00:12:40,960 Speaker 1: And that's mainly due to we are at max hunting pressure. 245 00:12:41,080 --> 00:12:45,640 Speaker 1: We just wrapped up our our gun season week and uh, 246 00:12:45,960 --> 00:12:48,440 Speaker 1: you know, especially here on the public land, we hunt 247 00:12:48,800 --> 00:12:51,080 Speaker 1: a lot of drives that have occurred, a lot of 248 00:12:51,080 --> 00:12:55,320 Speaker 1: people in the woods, and it just seems like right now, 249 00:12:55,360 --> 00:12:58,160 Speaker 1: it is a very difficult task to get a buck 250 00:12:58,200 --> 00:13:00,440 Speaker 1: on the ground if you're trying to to shout the 251 00:13:00,440 --> 00:13:02,640 Speaker 1: season and fill the tag. What are you looking for 252 00:13:02,840 --> 00:13:06,720 Speaker 1: then on public land? To account for that pressure, Yeah, 253 00:13:06,800 --> 00:13:09,360 Speaker 1: a couple of things you've got to consider, Uh is 254 00:13:09,440 --> 00:13:12,760 Speaker 1: actually like rabbit hunting pressure. Rabbit hunters kind of start 255 00:13:12,840 --> 00:13:17,720 Speaker 1: hitting the oh, the timber, the farmland country, and we 256 00:13:17,840 --> 00:13:21,200 Speaker 1: kind of concentrate on areas that can hold deer late 257 00:13:21,200 --> 00:13:24,880 Speaker 1: in the year, um, whether that be oh, southern facing 258 00:13:24,960 --> 00:13:29,240 Speaker 1: betting areas, um brows, because then they can you know, 259 00:13:29,400 --> 00:13:34,000 Speaker 1: feed while they're they're they're essentially close to betting. And uh, 260 00:13:34,160 --> 00:13:37,920 Speaker 1: you know, you're you're looking for maybe a private food 261 00:13:38,000 --> 00:13:42,160 Speaker 1: source that's next to a public land that's got the betting, 262 00:13:42,200 --> 00:13:44,559 Speaker 1: and so you're trying to intercept those deer. You're looking 263 00:13:45,280 --> 00:13:47,680 Speaker 1: for the most part, for any sort of food source 264 00:13:47,720 --> 00:13:50,240 Speaker 1: that may may be you know, not harvested by a 265 00:13:50,240 --> 00:13:53,760 Speaker 1: farmer or in big woods country, you know, it's the 266 00:13:53,800 --> 00:13:56,760 Speaker 1: clear cuts. Those become very relevant and we kind of 267 00:13:56,800 --> 00:13:59,760 Speaker 1: steered towards hunting big was just due to you don't 268 00:13:59,760 --> 00:14:02,720 Speaker 1: have a rabbit hunter so much. How do you find 269 00:14:02,760 --> 00:14:06,160 Speaker 1: where bucks are now betting sure those you know those bucks, 270 00:14:06,200 --> 00:14:08,800 Speaker 1: you know they they they've definitely experienced some hunting pressure 271 00:14:08,840 --> 00:14:12,320 Speaker 1: now and uh, you go from where you possibly have 272 00:14:12,400 --> 00:14:16,400 Speaker 1: found sheds. We pulled some trail cameras that like have 273 00:14:16,480 --> 00:14:19,120 Speaker 1: been out all archery season and so we just pulled 274 00:14:19,120 --> 00:14:21,120 Speaker 1: one the other day that we were actually the only 275 00:14:21,120 --> 00:14:24,640 Speaker 1: other hunters on camera and it was on a pretty oh, 276 00:14:24,880 --> 00:14:27,880 Speaker 1: pretty obvious hunter route into the but it's a it's 277 00:14:27,920 --> 00:14:30,040 Speaker 1: a section that's way far back in and if you're 278 00:14:30,040 --> 00:14:31,600 Speaker 1: going to shoot a deer there, you've got to either 279 00:14:31,680 --> 00:14:34,800 Speaker 1: have a team or pack a deer out. Um. So 280 00:14:34,880 --> 00:14:37,440 Speaker 1: that's something we'll key in on. Uh, if you do 281 00:14:37,520 --> 00:14:40,240 Speaker 1: your homework after a fresh snow, tracks can can come 282 00:14:40,240 --> 00:14:43,360 Speaker 1: into play if you've got that skill set. Um. I 283 00:14:43,400 --> 00:14:47,040 Speaker 1: won't say we're we're the Joe Elsing or guys of tracking, 284 00:14:47,080 --> 00:14:49,000 Speaker 1: but that's a skill set we're looking you know, we've 285 00:14:49,040 --> 00:14:52,040 Speaker 1: kind of improved upon over the last few years. Um, 286 00:14:52,120 --> 00:14:54,640 Speaker 1: So that's something to consider as well. What would you 287 00:14:54,680 --> 00:15:00,000 Speaker 1: consider to be ideal whether for deer hunters in December. Oh, 288 00:15:00,400 --> 00:15:02,720 Speaker 1: let's see her, how I got to have some sort 289 00:15:02,760 --> 00:15:05,360 Speaker 1: of a cold front. Actually, we don't have much in 290 00:15:05,440 --> 00:15:08,080 Speaker 1: the in the forecast. But give me a cold front, 291 00:15:08,160 --> 00:15:11,600 Speaker 1: northerly winds. Uh, maybe a day that where is the 292 00:15:11,720 --> 00:15:14,520 Speaker 1: temperature starts in the morning and never really climbs high 293 00:15:14,560 --> 00:15:17,480 Speaker 1: and kind of continually drops once you get into the afternoon. 294 00:15:18,080 --> 00:15:23,520 Speaker 1: Um through the evening hours. Um too. Now it's scouting 295 00:15:23,560 --> 00:15:26,080 Speaker 1: and scouting and then just timing that drone strike and 296 00:15:26,120 --> 00:15:28,680 Speaker 1: hope you get a lucky To be honest, when you're 297 00:15:28,680 --> 00:15:31,160 Speaker 1: trying to relocate bucks this time of year, are you 298 00:15:31,160 --> 00:15:34,360 Speaker 1: looking for rubs and scrapes at all? You know, rubs 299 00:15:34,360 --> 00:15:37,080 Speaker 1: scrapes not so much a huge factor. I do know 300 00:15:37,160 --> 00:15:39,120 Speaker 1: of a few scrapes that kind of popped up what 301 00:15:39,160 --> 00:15:43,040 Speaker 1: I'll call like late November into December. At this point, UM, 302 00:15:43,080 --> 00:15:46,280 Speaker 1: I'm not so much concerned on that second runt, just 303 00:15:46,320 --> 00:15:49,120 Speaker 1: because our gun season here in Ohio falls right in 304 00:15:49,160 --> 00:15:52,600 Speaker 1: that first week of December. Um. If I can recall 305 00:15:52,680 --> 00:15:56,640 Speaker 1: path hunting expenses. UM, I have seen some third rut 306 00:15:56,640 --> 00:15:58,680 Speaker 1: type action once we kind of get to that first 307 00:15:58,680 --> 00:16:02,080 Speaker 1: week at January when our mother the letter season picks up. Um. 308 00:16:02,120 --> 00:16:04,440 Speaker 1: But yeah, right now, I'm not looking at any sort 309 00:16:04,480 --> 00:16:08,120 Speaker 1: of rud sign in my tactic. It's brows it's foods, 310 00:16:08,160 --> 00:16:11,240 Speaker 1: it's it's snow tracks. That's what that's way more valuable 311 00:16:11,360 --> 00:16:14,600 Speaker 1: mean or visual sightings. Obviously you briefly touch on trail 312 00:16:14,640 --> 00:16:17,240 Speaker 1: cameras earlier. Where are you running those trail cameras that 313 00:16:17,400 --> 00:16:22,120 Speaker 1: in mid December? So right now I think, yeah, probably 314 00:16:22,680 --> 00:16:24,600 Speaker 1: of our trail cameras have been pulled. We try to 315 00:16:24,640 --> 00:16:26,600 Speaker 1: get those out of the woods for that gun week. 316 00:16:27,080 --> 00:16:31,120 Speaker 1: Now is it's a matter of redeploy and uh, you know, 317 00:16:31,200 --> 00:16:34,560 Speaker 1: we'll use any sort of late season food source, uh 318 00:16:34,840 --> 00:16:38,800 Speaker 1: if we can or um, two of us have tagged out, 319 00:16:38,880 --> 00:16:41,520 Speaker 1: we may actually deploy some cameras and some areas that 320 00:16:41,560 --> 00:16:44,400 Speaker 1: we're kind of curious about for next season. Um. And 321 00:16:44,400 --> 00:16:47,080 Speaker 1: obviously those turn up a buck grade. Um, so it's 322 00:16:47,080 --> 00:16:50,000 Speaker 1: probably a fifties fifty split. And like I will use 323 00:16:50,640 --> 00:16:54,120 Speaker 1: oh if I do find late season food sources, occasionally 324 00:16:54,160 --> 00:16:56,760 Speaker 1: I will go back to scrapes or any sort of 325 00:16:56,760 --> 00:17:00,120 Speaker 1: like creek crossing, uh, something that really funnels deer. And 326 00:17:00,240 --> 00:17:02,640 Speaker 1: if I get snow on the ground, that's that's when 327 00:17:02,680 --> 00:17:05,200 Speaker 1: I'm gonna at least hold it, hold at least oh 328 00:17:05,640 --> 00:17:09,280 Speaker 1: camera two for for if if that aligns, because I 329 00:17:09,320 --> 00:17:11,920 Speaker 1: can I can see what's going on there and attract 330 00:17:12,000 --> 00:17:14,480 Speaker 1: a quality track then allows me to throw that camera 331 00:17:14,480 --> 00:17:17,920 Speaker 1: on a higher percentage area going forward. Then in the 332 00:17:18,000 --> 00:17:19,800 Speaker 1: six week or so, what do you think that bucket 333 00:17:19,840 --> 00:17:21,680 Speaker 1: activity is going to be on a scale of one 334 00:17:21,720 --> 00:17:25,000 Speaker 1: to tend in Ohio, I think this is the toughest 335 00:17:25,000 --> 00:17:27,520 Speaker 1: time to use. I don't see it knowing what. Whether 336 00:17:27,560 --> 00:17:30,200 Speaker 1: we've got here for the next week, you're still two 337 00:17:30,200 --> 00:17:34,280 Speaker 1: to Yeah, you're still two on public land. Um, we've 338 00:17:34,280 --> 00:17:37,840 Speaker 1: got two weeks till another fun run and then picks up. Um. 339 00:17:37,920 --> 00:17:41,480 Speaker 1: These deer traditionally, based on on on kind of past experience, 340 00:17:41,560 --> 00:17:46,280 Speaker 1: they don't really get to daylight active um until end 341 00:17:46,280 --> 00:17:50,000 Speaker 1: of December starting into January. Um, we we do have 342 00:17:50,000 --> 00:17:52,080 Speaker 1: a muzzleloader season, but there doesn't seem to be as 343 00:17:52,119 --> 00:17:55,520 Speaker 1: much hunting pressure with that. UM. So so this this 344 00:17:55,600 --> 00:17:57,000 Speaker 1: is a tough time and I'm gonna give it a 345 00:17:57,080 --> 00:18:00,320 Speaker 1: two max I Byron, I hope you're pasted. Is um 346 00:18:00,359 --> 00:18:03,360 Speaker 1: is wrong? Good luck and thanks for joining me. Thank 347 00:18:03,400 --> 00:18:06,800 Speaker 1: spensor all right and joining us online. Next is Caleb 348 00:18:06,880 --> 00:18:11,000 Speaker 1: Combs in Oklahoma from Stewart Ranch Outfitters. Now, Caleb in Oklahoma, 349 00:18:11,119 --> 00:18:13,200 Speaker 1: what would you say the buck activities been lately. On 350 00:18:13,280 --> 00:18:16,879 Speaker 1: a scale of one to ten, I would say about Nate, Uh, 351 00:18:16,880 --> 00:18:19,359 Speaker 1: this is one of my favorite times. Two hunts of 352 00:18:19,440 --> 00:18:23,200 Speaker 1: the year. I like everything pre rut, you post rut, 353 00:18:23,720 --> 00:18:27,680 Speaker 1: and so I'm always optimistic about the time of the year. 354 00:18:27,720 --> 00:18:31,880 Speaker 1: But also I went Friday and Sunday and I saw 355 00:18:32,200 --> 00:18:35,880 Speaker 1: good bucks both times. Some were still chasing dose and heat, 356 00:18:35,880 --> 00:18:39,840 Speaker 1: and some were back on food sources that look like them. 357 00:18:39,880 --> 00:18:41,399 Speaker 1: I mean as far as they didn't have any interest 358 00:18:41,440 --> 00:18:44,439 Speaker 1: in rud activities, that didn't appear to me. But I 359 00:18:44,520 --> 00:18:46,960 Speaker 1: like the mixture, the combination of both. You can get 360 00:18:47,000 --> 00:18:49,720 Speaker 1: them a couple different ways this time of year. As 361 00:18:49,760 --> 00:18:52,320 Speaker 1: far as food sources go, what your deer hunters in 362 00:18:52,320 --> 00:18:55,080 Speaker 1: Oklahoma be focused on right now? The late season, I'm 363 00:18:55,080 --> 00:19:00,000 Speaker 1: always focused on acorns, whatever's left, specifically red red oaks 364 00:19:00,359 --> 00:19:04,119 Speaker 1: late season, and then anything green so that's not dry, 365 00:19:04,760 --> 00:19:07,000 Speaker 1: you know, not dry forwards. But if you can find 366 00:19:07,280 --> 00:19:10,879 Speaker 1: a good food plot or good agriculture that's still growing, 367 00:19:11,040 --> 00:19:13,200 Speaker 1: that's preferred to me. You said that you saw a 368 00:19:13,240 --> 00:19:15,680 Speaker 1: little bit of chasing the other day. This time of year, 369 00:19:15,680 --> 00:19:17,720 Speaker 1: do you expect to find any sidemaking and have you 370 00:19:17,760 --> 00:19:20,360 Speaker 1: been seeing any this season. Yes, I mean it's still 371 00:19:20,359 --> 00:19:23,399 Speaker 1: out there. They're definitely still making scrapes. I saw several 372 00:19:23,440 --> 00:19:27,280 Speaker 1: bucks hit in the same scrapes Friday and then last 373 00:19:27,320 --> 00:19:30,240 Speaker 1: week as well, So I still look at scrapes. I'm 374 00:19:30,280 --> 00:19:33,280 Speaker 1: just not as focused on them. It's almost always food 375 00:19:33,400 --> 00:19:36,280 Speaker 1: for me, food and then if you just happen to 376 00:19:37,040 --> 00:19:39,160 Speaker 1: get on the couple of hot dogs that are left. 377 00:19:39,320 --> 00:19:42,280 Speaker 1: But I kind of moved further away from rods and scrapes. 378 00:19:42,440 --> 00:19:44,879 Speaker 1: I still watch them, just especially with cameras. I just 379 00:19:44,880 --> 00:19:46,600 Speaker 1: don't hut them as hard because I don't expect them 380 00:19:46,600 --> 00:19:48,720 Speaker 1: to produce that much. If I would have talked to 381 00:19:48,720 --> 00:19:50,200 Speaker 1: you a month ago, I know you would have been 382 00:19:50,280 --> 00:19:53,080 Speaker 1: looking for cold fronts. Are you still looking for cold fronts? 383 00:19:53,119 --> 00:19:54,800 Speaker 1: This to have a your or just weather play less 384 00:19:54,800 --> 00:19:57,480 Speaker 1: of a factor now. I mean, if if it's colder, 385 00:19:57,520 --> 00:19:59,560 Speaker 1: I will assume they're up and they're eating more. But 386 00:20:00,080 --> 00:20:03,000 Speaker 1: if it's just not hot, if it's real hot, it's 387 00:20:03,119 --> 00:20:06,400 Speaker 1: less attractive. But if it's normal a tempts and lower 388 00:20:06,520 --> 00:20:09,040 Speaker 1: than I'm good from there. With this being one of 389 00:20:09,040 --> 00:20:11,320 Speaker 1: your favorite times of year to kill a mature buck, 390 00:20:11,440 --> 00:20:14,920 Speaker 1: where are you running your trail cameras? At my trail 391 00:20:15,000 --> 00:20:17,800 Speaker 1: cameras are still I pretty much leave them on scrapes 392 00:20:17,840 --> 00:20:21,080 Speaker 1: all year. Uh. But then I I do leave on 393 00:20:21,200 --> 00:20:24,480 Speaker 1: food horses as well, But food horses I try to 394 00:20:24,520 --> 00:20:26,639 Speaker 1: leave in the same places all year long, so my 395 00:20:26,720 --> 00:20:29,440 Speaker 1: cameras don't adjust based on the time of the year. 396 00:20:29,560 --> 00:20:32,199 Speaker 1: I just if I need more cameras, I buy more cameras, 397 00:20:32,240 --> 00:20:34,640 Speaker 1: but I leave in the same places all year long. 398 00:20:34,840 --> 00:20:36,679 Speaker 1: I would like to just see the patterns more than 399 00:20:36,920 --> 00:20:39,760 Speaker 1: the patterns on what I had left year. Wife in Oklahoma, 400 00:20:39,800 --> 00:20:42,120 Speaker 1: do you find that there's a shift in bedding come 401 00:20:42,200 --> 00:20:45,720 Speaker 1: late season? I would say no, but I had a 402 00:20:45,760 --> 00:20:48,760 Speaker 1: lot of areas of low pressure. I usually try not 403 00:20:48,840 --> 00:20:53,480 Speaker 1: to go to my places rifle season. I'll skip rifle 404 00:20:53,520 --> 00:20:55,840 Speaker 1: season half the time after years, which sounds crazy. Half 405 00:20:55,840 --> 00:20:58,560 Speaker 1: the years, uh, and then I'll just let them move in. 406 00:20:58,680 --> 00:21:00,960 Speaker 1: But on most of our bedding days same. It's pretty 407 00:21:01,280 --> 00:21:04,560 Speaker 1: hide population as far as books are concerned. So the 408 00:21:04,640 --> 00:21:09,040 Speaker 1: good betting areas remain good. They're almost always pretty consistent. 409 00:21:09,040 --> 00:21:11,760 Speaker 1: They might lay down more and random areas, but you 410 00:21:11,760 --> 00:21:14,639 Speaker 1: know through the nine but the key the key places 411 00:21:14,680 --> 00:21:17,600 Speaker 1: are always the same. Are you concerned with moon phases 412 00:21:17,640 --> 00:21:20,560 Speaker 1: at all? This time of year. I'm not I don't. 413 00:21:20,560 --> 00:21:22,720 Speaker 1: I don't pay a lot of attention to the moon. 414 00:21:22,960 --> 00:21:26,160 Speaker 1: I mean a little bit, uh, a little bit, not 415 00:21:26,160 --> 00:21:28,240 Speaker 1: not that much. It doesn't usually affect me. If I 416 00:21:28,240 --> 00:21:31,080 Speaker 1: can go, I go. I'm not gonna not go because 417 00:21:31,080 --> 00:21:33,480 Speaker 1: of the mood, whether it be more important, and definitely 418 00:21:33,520 --> 00:21:36,480 Speaker 1: having food is really important going forward. Then in the 419 00:21:36,520 --> 00:21:38,360 Speaker 1: sex week or so, what do you think that buck 420 00:21:38,440 --> 00:21:40,480 Speaker 1: activity is going to be on a scale of one 421 00:21:40,520 --> 00:21:44,800 Speaker 1: to tending Oklahoma, I'm forever optimistic, so still like seven, 422 00:21:44,960 --> 00:21:47,240 Speaker 1: seven eight. If you're on good food sources, if you 423 00:21:47,240 --> 00:21:50,520 Speaker 1: have food plots that didn't get hammered, and you have 424 00:21:50,640 --> 00:21:53,880 Speaker 1: some food left, I think you'll be very successful. Our Kale, 425 00:21:53,960 --> 00:21:56,280 Speaker 1: congrats on the great buck this year. Thanks for joining me. 426 00:21:56,680 --> 00:21:59,760 Speaker 1: I appreciate it. Thank you all right in joining us online. 427 00:21:59,800 --> 00:22:02,600 Speaker 1: Neck in New Hampshire is Brett Joy from Real Tree 428 00:22:02,680 --> 00:22:05,320 Speaker 1: Sea Bucks now Brett in New Hampshire. What would you 429 00:22:05,320 --> 00:22:07,520 Speaker 1: say the bucket activity has been lately on the scale 430 00:22:07,560 --> 00:22:11,960 Speaker 1: one to ten, I'd say it's been pretty variable day 431 00:22:11,960 --> 00:22:14,960 Speaker 1: to day, but probably five or six. You know, there's 432 00:22:14,960 --> 00:22:17,960 Speaker 1: a lot of factors going on that now are done. 433 00:22:17,960 --> 00:22:20,879 Speaker 1: Season actually just ended, so there's been a lot of 434 00:22:20,920 --> 00:22:23,439 Speaker 1: pressing in the woods the last six weeks or so, 435 00:22:23,760 --> 00:22:27,119 Speaker 1: five or six weeks. Um, we've got a lot of 436 00:22:27,200 --> 00:22:30,879 Speaker 1: we just had a big snow event. Um, it's been cold, 437 00:22:31,000 --> 00:22:36,120 Speaker 1: and we've got rain. Um, food storess are changing. Um, 438 00:22:36,280 --> 00:22:40,560 Speaker 1: and uh, you have some late red activity occurring as well. 439 00:22:40,600 --> 00:22:42,399 Speaker 1: So there's just kind of a mixed bags of different 440 00:22:42,480 --> 00:22:46,000 Speaker 1: factors that really affecting that activity. I'd say overall it's 441 00:22:46,119 --> 00:22:50,399 Speaker 1: pretty decent. Um, you know, nothing like it was maybe 442 00:22:50,480 --> 00:22:53,400 Speaker 1: two or three weeks ago, but um, it's uh, it's 443 00:22:53,400 --> 00:22:55,920 Speaker 1: pretty good. I mean, you can definitely have some luck 444 00:22:55,960 --> 00:22:59,080 Speaker 1: out there. There's some bucks moving around daylight. Um. No, 445 00:22:59,200 --> 00:23:01,760 Speaker 1: it really depends on your situation and where you're hunting 446 00:23:01,840 --> 00:23:04,560 Speaker 1: and with the food sources, and you know, if there's 447 00:23:04,720 --> 00:23:07,240 Speaker 1: late does or you know whatever. So there's a lot 448 00:23:07,280 --> 00:23:09,320 Speaker 1: that goes in up. Let's say, overall, it's it's pretty good. 449 00:23:09,600 --> 00:23:12,280 Speaker 1: You just killed a big mature buck on Saturday. Tell 450 00:23:12,359 --> 00:23:14,639 Speaker 1: us a little bit about that set. Yeah, So that 451 00:23:14,800 --> 00:23:16,800 Speaker 1: was an interesting one that was never been after for 452 00:23:16,840 --> 00:23:19,200 Speaker 1: a number of years and was after really hard during 453 00:23:19,240 --> 00:23:22,040 Speaker 1: the rut um and he actually shifted into an area 454 00:23:22,080 --> 00:23:25,880 Speaker 1: I believe that he was in because um, it's preferred 455 00:23:25,880 --> 00:23:29,240 Speaker 1: a winning habitat. Uh. You know, it's gets pretty cold 456 00:23:29,320 --> 00:23:31,000 Speaker 1: up here and we have love snow, had a lot 457 00:23:31,000 --> 00:23:34,600 Speaker 1: of snow. It's well melping now. But um, you kind 458 00:23:34,600 --> 00:23:37,240 Speaker 1: of moved into an area where I think there's some 459 00:23:37,359 --> 00:23:40,359 Speaker 1: good brows, good thermal cover. Um it's a little more 460 00:23:40,440 --> 00:23:43,639 Speaker 1: protected area and um, I know there's a number of 461 00:23:43,640 --> 00:23:45,040 Speaker 1: those in there. So he was kind of hanging out 462 00:23:45,040 --> 00:23:48,040 Speaker 1: down there. I was lucky enough to get a blanket 463 00:23:48,040 --> 00:23:51,160 Speaker 1: of fresh snow and went in to check some cameras 464 00:23:51,160 --> 00:23:55,200 Speaker 1: and actually get walked by my camera. You know, after 465 00:23:55,359 --> 00:23:57,359 Speaker 1: that snow a couple of hours before, So I had 466 00:23:57,359 --> 00:24:01,199 Speaker 1: this fresh track, had plenty of mountain of stuff and 467 00:24:01,200 --> 00:24:03,840 Speaker 1: and big woods chaseman. So got on his track and 468 00:24:05,119 --> 00:24:07,359 Speaker 1: it took me about four miles and five hours, but 469 00:24:07,440 --> 00:24:09,560 Speaker 1: ended up catch up with him and killing him. Is 470 00:24:09,560 --> 00:24:12,160 Speaker 1: that a common tactic for you this time of year? 471 00:24:13,480 --> 00:24:16,720 Speaker 1: For me, it's someone common for for this area, It's 472 00:24:16,840 --> 00:24:19,680 Speaker 1: very common. It's probably the most effective tactic for a 473 00:24:19,760 --> 00:24:22,600 Speaker 1: late season that you know you can have whenever you 474 00:24:22,600 --> 00:24:25,600 Speaker 1: have an opportunity to track and get fresh snow. In 475 00:24:25,680 --> 00:24:28,080 Speaker 1: New Hampshire, Maine, Vermont or you know, really in the 476 00:24:28,119 --> 00:24:31,399 Speaker 1: northeast of the Big Woods. Uh, you can be really effective, um, 477 00:24:31,920 --> 00:24:34,399 Speaker 1: you know tracking down these bucks. If you have sorting 478 00:24:34,400 --> 00:24:37,200 Speaker 1: of idea sort of an idea of what you're doing. UM, 479 00:24:37,280 --> 00:24:38,840 Speaker 1: you know you can have you can at least be, 480 00:24:39,040 --> 00:24:40,879 Speaker 1: you know, in the game, whereas you may not be 481 00:24:41,000 --> 00:24:43,520 Speaker 1: if you don't have that snow. UM. So yeah, I 482 00:24:43,560 --> 00:24:46,280 Speaker 1: would say it's pretty common. You talked about how that 483 00:24:46,320 --> 00:24:49,360 Speaker 1: buck and moved into a sort of wintering range. Tell 484 00:24:49,440 --> 00:24:51,520 Speaker 1: us a little bit more about what you're looking for 485 00:24:51,760 --> 00:24:55,240 Speaker 1: embedding in mid December. Yeah, so the number one thing 486 00:24:55,320 --> 00:24:58,320 Speaker 1: is low process. So really haven't been um, haven't had 487 00:24:58,359 --> 00:25:01,000 Speaker 1: a lot of pressure in the Big Woods. That may 488 00:25:01,040 --> 00:25:03,520 Speaker 1: not be as big a factor. If there's not much pressure, 489 00:25:03,560 --> 00:25:06,080 Speaker 1: if you're maybe in the suburban type area, a lot 490 00:25:06,119 --> 00:25:09,000 Speaker 1: of times will actually hang out and protected areas like 491 00:25:09,160 --> 00:25:13,240 Speaker 1: with no hunting or even like behind neighborhoods stuff like that. UM, 492 00:25:13,320 --> 00:25:16,919 Speaker 1: as far as habitat goes, UM, good brows is big 493 00:25:17,680 --> 00:25:21,840 Speaker 1: if there either hasn't been much mass crop um, so 494 00:25:22,000 --> 00:25:24,720 Speaker 1: areas that have been locked obviously really growing with that 495 00:25:24,800 --> 00:25:28,560 Speaker 1: type of thing. UM. And then obviously a mass crop 496 00:25:28,640 --> 00:25:31,480 Speaker 1: acorns and apples are a big big factors. Still there's 497 00:25:31,480 --> 00:25:33,959 Speaker 1: still some left on the ground if you're in areas 498 00:25:33,960 --> 00:25:36,960 Speaker 1: heavy with those types of trees. UM. And the last 499 00:25:36,960 --> 00:25:40,600 Speaker 1: thing is really um conifers, So that's a huge, huge 500 00:25:40,640 --> 00:25:44,520 Speaker 1: deal in the Northeast, especially in Hampshire. UM. These wintering 501 00:25:44,680 --> 00:25:47,800 Speaker 1: habitats are critical for the deer. So UM. You know, 502 00:25:47,840 --> 00:25:51,240 Speaker 1: if you can find a stand of mature spruce or 503 00:25:51,840 --> 00:25:56,440 Speaker 1: refers or white pine or really hemlocks, this is the 504 00:25:56,440 --> 00:25:59,600 Speaker 1: biggest one. UM. Those deer really start to gravitate towards 505 00:25:59,640 --> 00:26:02,560 Speaker 1: those are is because it gives them great thermal cover. UM. 506 00:26:02,600 --> 00:26:04,560 Speaker 1: The snow depths aren't as deep, and they actually do 507 00:26:04,640 --> 00:26:06,600 Speaker 1: brows on that stuff pretty heavily because we just don't 508 00:26:06,640 --> 00:26:08,800 Speaker 1: really have much for quality food sources this time year. 509 00:26:09,320 --> 00:26:11,720 Speaker 1: Back real quick to tracking a buck through the snow. 510 00:26:11,960 --> 00:26:14,320 Speaker 1: At what point did you give up on a set 511 00:26:14,359 --> 00:26:18,840 Speaker 1: of tracks? I would say when he goes into an 512 00:26:18,840 --> 00:26:21,919 Speaker 1: area you can't hunt, which most of the time that 513 00:26:21,960 --> 00:26:24,440 Speaker 1: doesn't happen if you're tracking, because you usually are trying 514 00:26:24,440 --> 00:26:26,720 Speaker 1: to track in areas where you have thousands of egers thrown, 515 00:26:27,720 --> 00:26:31,560 Speaker 1: I'd say it gets dark or you kill them. That's 516 00:26:31,680 --> 00:26:33,600 Speaker 1: those are would be the things. I mean, you can 517 00:26:34,040 --> 00:26:36,320 Speaker 1: really pursue when it comes to tracking. And I'm not 518 00:26:36,400 --> 00:26:38,480 Speaker 1: an expert tracking my any means, let's say I'm, like 519 00:26:38,520 --> 00:26:41,000 Speaker 1: I said, enough to be maybe maybe would be a 520 00:26:41,040 --> 00:26:45,600 Speaker 1: little dangerous. But um, all the the expert trackers that 521 00:26:45,640 --> 00:26:47,800 Speaker 1: i've I've talked to you all say persistence is what 522 00:26:47,960 --> 00:26:52,560 Speaker 1: gets it done, just staying on that track. I know. Um, 523 00:26:52,720 --> 00:26:55,159 Speaker 1: for example, and I talked to you, uh my budget 524 00:26:55,160 --> 00:26:57,840 Speaker 1: of films hell Blood is a very well known tracker 525 00:26:57,840 --> 00:27:00,320 Speaker 1: and main and he actually tracked a buck two differ days, 526 00:27:00,359 --> 00:27:02,440 Speaker 1: tracked him all day one day for a number of miles, 527 00:27:02,520 --> 00:27:04,760 Speaker 1: and then got on that buck the next morning and 528 00:27:04,800 --> 00:27:06,520 Speaker 1: tracked him the whole rest of They ended up killing 529 00:27:06,560 --> 00:27:09,640 Speaker 1: him and he bumped him, you know, a handful half 530 00:27:09,680 --> 00:27:12,720 Speaker 1: dozen times in those two days. So persistence is deadly 531 00:27:12,760 --> 00:27:15,680 Speaker 1: when it comes to tracking. And are you sometimes tracking 532 00:27:15,800 --> 00:27:17,800 Speaker 1: a group of deer or is it often where you're 533 00:27:17,840 --> 00:27:21,960 Speaker 1: just tracking a single fuck? Um? You know it's it's 534 00:27:22,040 --> 00:27:24,600 Speaker 1: much more challenging tracking a group of year, especially if 535 00:27:24,600 --> 00:27:28,840 Speaker 1: snow conditions an ideal. Um, it can be confusing trying 536 00:27:28,840 --> 00:27:31,119 Speaker 1: to figure out what track you're on and keeping track. 537 00:27:31,200 --> 00:27:33,520 Speaker 1: Actually on Saturday, when I tracked my buck he was 538 00:27:33,560 --> 00:27:35,879 Speaker 1: on with some does or was swallowing some dough tracks 539 00:27:35,880 --> 00:27:37,920 Speaker 1: and I actually lost his track for a period of 540 00:27:37,960 --> 00:27:39,640 Speaker 1: time and had to backtrack and see where you left. 541 00:27:39,640 --> 00:27:41,840 Speaker 1: So it could be more challenging. I think at the 542 00:27:41,840 --> 00:27:45,040 Speaker 1: best scenario is a buck by himself. Um it's maybe 543 00:27:45,040 --> 00:27:47,960 Speaker 1: his done slicing dose and it's maybe looking at bed 544 00:27:48,040 --> 00:27:50,480 Speaker 1: or just browsed around. That's probably the best situation. It's 545 00:27:50,480 --> 00:27:53,399 Speaker 1: really difficult when they're on the looking for dose and 546 00:27:53,440 --> 00:27:58,600 Speaker 1: covering on the ground or with dose chasing them so um, 547 00:27:58,640 --> 00:28:00,399 Speaker 1: you know. And then when you finally get up the animal, 548 00:28:00,440 --> 00:28:02,720 Speaker 1: if he's got three or four does, there's that much 549 00:28:02,720 --> 00:28:04,399 Speaker 1: more chance you're gonna get busted before you get a 550 00:28:04,400 --> 00:28:07,040 Speaker 1: shot at the bucket. After going forward, Then in the 551 00:28:07,080 --> 00:28:08,879 Speaker 1: next week or so, what do you think that bucket 552 00:28:08,880 --> 00:28:10,920 Speaker 1: activity is going to be on a scale of one 553 00:28:10,920 --> 00:28:14,160 Speaker 1: to ten in New Hampshire, I'd say it's probably gonna 554 00:28:14,200 --> 00:28:16,440 Speaker 1: stay pretty consistent, maybe a five or six. You know, 555 00:28:16,560 --> 00:28:19,280 Speaker 1: see far is a good activity some days depending on 556 00:28:19,400 --> 00:28:24,359 Speaker 1: like you said, all those factors um based on pressure, food, weather, um, 557 00:28:24,440 --> 00:28:27,520 Speaker 1: and some late does or maybe even early um, you know, 558 00:28:27,840 --> 00:28:29,760 Speaker 1: near links coming in so I'd say it's gonna stay 559 00:28:29,760 --> 00:28:33,639 Speaker 1: pretty good. Um, definitely, uh, definitely a good time to 560 00:28:33,640 --> 00:28:35,720 Speaker 1: be in the woods and and keep at it. Our 561 00:28:36,000 --> 00:28:38,400 Speaker 1: riful seasons over, but we have another week of both season, 562 00:28:38,480 --> 00:28:41,080 Speaker 1: so I think it's definitely worth, you know, spending some 563 00:28:41,120 --> 00:28:43,400 Speaker 1: time if you have it all right, Brett will congrats 564 00:28:43,440 --> 00:28:46,840 Speaker 1: again on the awesome dear, thanks for joining me. Thank you. 565 00:28:46,920 --> 00:28:49,480 Speaker 1: Thanks Spencer all right and joining us on the line. 566 00:28:49,520 --> 00:28:53,120 Speaker 1: Next from Iowa is Josh Sparks with Midwest White Tails. Now, 567 00:28:53,200 --> 00:28:55,600 Speaker 1: Josh in Iowa, what would you say the bucket activity 568 00:28:55,640 --> 00:28:57,520 Speaker 1: has been lately on a scale of one to ten 569 00:28:58,920 --> 00:29:01,160 Speaker 1: on a scale wanted say? Then, I'm gonna go with 570 00:29:01,320 --> 00:29:04,880 Speaker 1: a five. I'm just gonna attribute that to the fact 571 00:29:04,960 --> 00:29:08,720 Speaker 1: that we've got some colder temperatures than we had the 572 00:29:08,760 --> 00:29:12,600 Speaker 1: previous few weeks. So if you're hunting over food, um, 573 00:29:12,640 --> 00:29:14,160 Speaker 1: and that's what we did on the tail end of 574 00:29:14,200 --> 00:29:17,520 Speaker 1: the bow season, we had some pretty good encounters. Um. 575 00:29:17,520 --> 00:29:19,160 Speaker 1: We ended up seeing on our last time of the 576 00:29:19,240 --> 00:29:24,040 Speaker 1: year four different mature bucks. But the upcoming weather not 577 00:29:24,160 --> 00:29:27,840 Speaker 1: looking so great. So replacing that weather, what kind of 578 00:29:27,920 --> 00:29:31,880 Speaker 1: weather is ideal this time of year? Um, particularly where 579 00:29:31,880 --> 00:29:34,360 Speaker 1: we're at we're hoping to get some snow, you know, 580 00:29:34,440 --> 00:29:37,040 Speaker 1: just forcing this deer to feed a little bit more 581 00:29:37,120 --> 00:29:40,959 Speaker 1: concentrated than they are right now. If we can get 582 00:29:41,120 --> 00:29:43,719 Speaker 1: you know, a couple inches of snow, it'll really force 583 00:29:44,040 --> 00:29:46,480 Speaker 1: these deer to go through the corn that we've got 584 00:29:46,480 --> 00:29:50,160 Speaker 1: on this particular property. Um, there are some standing beans, 585 00:29:50,200 --> 00:29:53,120 Speaker 1: but more or less there's just so much brows and 586 00:29:53,120 --> 00:29:55,800 Speaker 1: when we don't have that snow, it's hard to concentrate 587 00:29:55,840 --> 00:29:58,720 Speaker 1: them down to those particular spots. Do you notice the 588 00:29:58,800 --> 00:30:00,840 Speaker 1: shift in the bedding for bucks and I all this 589 00:30:00,920 --> 00:30:04,800 Speaker 1: time of year? Yeah, Um, at least again I'm resting 590 00:30:04,840 --> 00:30:08,160 Speaker 1: this farm, we started to notice a lot more south 591 00:30:08,240 --> 00:30:12,640 Speaker 1: facing ridge betting um, particularly just to stay out of 592 00:30:12,760 --> 00:30:16,040 Speaker 1: was cold north winds. And on this farm there's a 593 00:30:16,080 --> 00:30:19,000 Speaker 1: lot of CRP and those south facing slopes. Um, so 594 00:30:19,040 --> 00:30:22,920 Speaker 1: it just offers good thermal cover. Um. It's kind of 595 00:30:22,920 --> 00:30:24,920 Speaker 1: a shift more or less from the hardwoods to those 596 00:30:24,960 --> 00:30:27,160 Speaker 1: areas of what we can see down here. I know 597 00:30:27,280 --> 00:30:30,320 Speaker 1: you're just out checking trail cameras where your cameras focused 598 00:30:30,320 --> 00:30:34,000 Speaker 1: at in early December. Uh Forrette, Now, that's what I've 599 00:30:34,000 --> 00:30:36,640 Speaker 1: been doing today is actually moving them around and we're 600 00:30:36,720 --> 00:30:38,520 Speaker 1: taking most of them off of all the scrapes that 601 00:30:38,560 --> 00:30:41,640 Speaker 1: we had you know, October November, and we're putting them 602 00:30:41,640 --> 00:30:44,840 Speaker 1: on most of mostly on trails going out to these fields. 603 00:30:44,840 --> 00:30:47,680 Speaker 1: I was just talking about, Um, the biggest thing. We're 604 00:30:47,680 --> 00:30:50,120 Speaker 1: trying to figure out where they're entering the food plots 605 00:30:50,440 --> 00:30:53,720 Speaker 1: and then uh kind of basing that where we should 606 00:30:53,760 --> 00:30:55,600 Speaker 1: set up the blinds or if we need to hang 607 00:30:55,640 --> 00:31:00,120 Speaker 1: its hands. Did any of those scrapes have some recent activity? Yeah, no, 608 00:31:00,720 --> 00:31:02,880 Speaker 1: when I was checking in the day, I mean it's definitely, 609 00:31:03,680 --> 00:31:05,920 Speaker 1: you know, not like it was in November, but there 610 00:31:05,960 --> 00:31:09,160 Speaker 1: are some younger bucks and does and then one of 611 00:31:09,160 --> 00:31:11,280 Speaker 1: the bucks that we are hunting was on the great 612 00:31:11,400 --> 00:31:14,400 Speaker 1: But it's not nearly as frequent for sure. How do 613 00:31:14,440 --> 00:31:17,360 Speaker 1: you account for gun hunting pressure in a state like Iowa? 614 00:31:17,880 --> 00:31:21,080 Speaker 1: For Iowa, UM, I think that's a pretty selective answer. 615 00:31:21,320 --> 00:31:24,360 Speaker 1: You know, right where I'm at, gun hunting is pretty minimal. 616 00:31:24,520 --> 00:31:26,480 Speaker 1: Most of the guys around here and waiting for the 617 00:31:26,560 --> 00:31:29,800 Speaker 1: late muzzleoader seasons. Um. But I do know quite a 618 00:31:29,800 --> 00:31:34,360 Speaker 1: few buddies that do face the shotgun pressure dilemma and 619 00:31:34,400 --> 00:31:36,880 Speaker 1: a lot of their dear you know, getting ran because 620 00:31:36,920 --> 00:31:39,160 Speaker 1: you can party hunt in Iowa, So that's a pretty 621 00:31:39,160 --> 00:31:43,920 Speaker 1: popular thing. Um with pushing gear. So I think it 622 00:31:43,960 --> 00:31:46,960 Speaker 1: can definitely be impactful, there's no doubt. But if you 623 00:31:47,000 --> 00:31:49,880 Speaker 1: do have a farm where you don't pressure it, I 624 00:31:49,880 --> 00:31:52,600 Speaker 1: think you can also you know, pick ups some deer 625 00:31:53,000 --> 00:31:55,560 Speaker 1: from around your neighbors if they know that they're not 626 00:31:55,560 --> 00:31:58,120 Speaker 1: going to get ran out on that piece of property. 627 00:31:58,360 --> 00:32:01,040 Speaker 1: You mentioned that there's still some standing beans around earlier. 628 00:32:01,120 --> 00:32:03,200 Speaker 1: A lot of the Midwest had a late harvest this year. 629 00:32:03,240 --> 00:32:04,800 Speaker 1: But are you seeing that there's still a lot of 630 00:32:04,840 --> 00:32:08,920 Speaker 1: standing crops in Iowa? Generally speaking, No, from what I've seen, 631 00:32:09,040 --> 00:32:12,440 Speaker 1: most of everything's gotten taken out. Any standing food now, 632 00:32:12,480 --> 00:32:15,520 Speaker 1: I would assume is purposeful for the use of you know, 633 00:32:15,600 --> 00:32:18,200 Speaker 1: food plas and hunting. Most of the guys that I 634 00:32:18,320 --> 00:32:21,280 Speaker 1: know that are farmers, we're able to get everything out. 635 00:32:21,520 --> 00:32:23,880 Speaker 1: It was late, for sure, but they were able to. 636 00:32:25,000 --> 00:32:28,400 Speaker 1: Have you been seeing any secondary running, Um, Yeah, I mean, 637 00:32:28,440 --> 00:32:32,800 Speaker 1: like I mentioned, um when we sat that last day, 638 00:32:33,240 --> 00:32:36,600 Speaker 1: I would have been December fifth, I believe we did 639 00:32:36,680 --> 00:32:39,320 Speaker 1: see two of those mature bucks were bumping the does 640 00:32:39,960 --> 00:32:44,040 Speaker 1: that we're in the plot, Um the does. Definitely, we're 641 00:32:44,080 --> 00:32:46,720 Speaker 1: not having anything to do with it, and the Bucks 642 00:32:46,720 --> 00:32:49,840 Speaker 1: gave up pretty easily. But I think, you know, looking 643 00:32:49,880 --> 00:32:52,280 Speaker 1: for that last dough is definitely still on their mind, 644 00:32:52,480 --> 00:32:54,640 Speaker 1: and you know that's the biggest thing too. We were 645 00:32:54,680 --> 00:32:58,080 Speaker 1: thinking concentrated around food. Maybe we do get that last 646 00:32:58,120 --> 00:33:00,600 Speaker 1: hot there, and if we don't, at least the Bucks 647 00:33:00,600 --> 00:33:03,280 Speaker 1: will be thinking the same thing going forward. Then in 648 00:33:03,320 --> 00:33:05,040 Speaker 1: the next week or so, what do you think that 649 00:33:05,040 --> 00:33:07,400 Speaker 1: bucket TV is going to be on a scale one 650 00:33:07,400 --> 00:33:11,520 Speaker 1: attendant Iowa. Um, on a scale one tendant Iowa. We 651 00:33:11,560 --> 00:33:15,320 Speaker 1: do have some pretty cold attempts. Obviously, if you're shotgun hunting, 652 00:33:15,920 --> 00:33:17,680 Speaker 1: who knows what it's gonna be like, you're gonna be 653 00:33:17,760 --> 00:33:21,600 Speaker 1: driving everything around there. But I would say generally still 654 00:33:21,640 --> 00:33:25,240 Speaker 1: around that four to five mark. Um, if you're you know, 655 00:33:25,440 --> 00:33:28,920 Speaker 1: hunting over food, you've got a good shot. But really 656 00:33:29,120 --> 00:33:31,720 Speaker 1: really looking forward to having some spell on the ground, 657 00:33:31,760 --> 00:33:34,720 Speaker 1: hopefully within the next month. All right, Joshua, hope you 658 00:33:34,760 --> 00:33:36,640 Speaker 1: get that weather you're looking for. Good luck and next 659 00:33:36,680 --> 00:33:39,240 Speaker 1: for joining me, yes, sir, appreciate it.