1 00:00:01,160 --> 00:00:04,000 Speaker 1: Hey guys, this is Mark Kenyon of Wired to Hunt, 2 00:00:04,480 --> 00:00:07,840 Speaker 1: and we're here today for our final episode of Wired 3 00:00:07,880 --> 00:00:11,000 Speaker 1: to Hunt's ut radio here in two thousand and sixteen, 4 00:00:11,000 --> 00:00:13,160 Speaker 1: where we have been checking in every week for the 5 00:00:13,200 --> 00:00:16,079 Speaker 1: past six or seven weeks now with hunters from all 6 00:00:16,120 --> 00:00:20,239 Speaker 1: across the country to hear about running activity and reports, 7 00:00:20,760 --> 00:00:23,239 Speaker 1: what's been happening, what's been working, and all that kind 8 00:00:23,239 --> 00:00:26,240 Speaker 1: of good stuff. So, Spencer, you've been kind of leading 9 00:00:26,280 --> 00:00:28,000 Speaker 1: the charge for us on this one, and I first 10 00:00:28,000 --> 00:00:30,800 Speaker 1: and foremost want to thank you for doing such an 11 00:00:30,800 --> 00:00:33,599 Speaker 1: awesome job with us and checking with people all over 12 00:00:33,640 --> 00:00:36,040 Speaker 1: the place and getting this kind of intel I know, 13 00:00:36,200 --> 00:00:38,080 Speaker 1: for me personally and from a lot of other people 14 00:00:38,120 --> 00:00:41,640 Speaker 1: out there listening, this has been really helpful. So so 15 00:00:41,680 --> 00:00:44,879 Speaker 1: where to go. Man, Thanks, I appreciate that. And uh, 16 00:00:45,000 --> 00:00:47,519 Speaker 1: you know, it's it's not a chore. I mean, this 17 00:00:47,560 --> 00:00:49,200 Speaker 1: is a ton of fun to talk to these people, 18 00:00:49,360 --> 00:00:51,960 Speaker 1: and every week, you know, get to I feel like, 19 00:00:52,159 --> 00:00:54,080 Speaker 1: you know, I'm sitting in there tree stands sometimes when 20 00:00:54,080 --> 00:00:56,040 Speaker 1: I get to hear about the the encounters that they're 21 00:00:56,040 --> 00:00:58,960 Speaker 1: having and stuff like that, and you know, take that 22 00:00:59,000 --> 00:01:00,560 Speaker 1: as another piece of the pause as to how I 23 00:01:00,560 --> 00:01:03,880 Speaker 1: should be hunting in my home state of South Dakota. Yeah. Yeah. 24 00:01:03,920 --> 00:01:06,920 Speaker 1: So so you've talked to I don't know, dozens of 25 00:01:06,920 --> 00:01:08,840 Speaker 1: different hunters now over the course of this kind of 26 00:01:08,880 --> 00:01:11,720 Speaker 1: mini series, and you've been getting all that running intel 27 00:01:11,760 --> 00:01:14,760 Speaker 1: and stuff. Do you think that you were you able 28 00:01:14,760 --> 00:01:17,679 Speaker 1: to apply anything you heard from these other guys to 29 00:01:17,760 --> 00:01:20,000 Speaker 1: your own hunts? You know, did you have any example 30 00:01:20,080 --> 00:01:22,400 Speaker 1: where such and such was like, hey, you know, I 31 00:01:22,480 --> 00:01:24,760 Speaker 1: really think it's starting to pick up or X was 32 00:01:24,840 --> 00:01:26,880 Speaker 1: working and you thought about that in your own hunts. 33 00:01:26,880 --> 00:01:28,360 Speaker 1: Were you able to do anything like that? Because I know, 34 00:01:28,440 --> 00:01:30,920 Speaker 1: for me personally, I start picking up on some of 35 00:01:30,920 --> 00:01:32,920 Speaker 1: the things I was hearing from guys and applying it 36 00:01:32,959 --> 00:01:36,440 Speaker 1: to some shifts in my strategy. Yeah. I think one 37 00:01:36,480 --> 00:01:39,959 Speaker 1: thing in particular was I've always kind of felt like, 38 00:01:40,760 --> 00:01:43,280 Speaker 1: you know, the rut seems like it has these hard 39 00:01:43,319 --> 00:01:46,319 Speaker 1: boundaries of when it starts, when it ends, when this 40 00:01:46,360 --> 00:01:49,000 Speaker 1: phase is going, stuff like that. But this kind of 41 00:01:49,040 --> 00:01:52,320 Speaker 1: made me learn that it's so so fluid. Um, not 42 00:01:52,440 --> 00:01:56,360 Speaker 1: just across the nation, but even incredibly local. Um for 43 00:01:56,440 --> 00:01:59,640 Speaker 1: me talking to these people at on North Dakota, Minnesota, Iowa, 44 00:02:00,000 --> 00:02:03,360 Speaker 1: a Braska, stuff like that. UM, I would agree with 45 00:02:03,400 --> 00:02:06,320 Speaker 1: him one week and then discreet the next week. Um. 46 00:02:06,360 --> 00:02:09,040 Speaker 1: But then you know, it could be on both fronts 47 00:02:09,040 --> 00:02:11,120 Speaker 1: where I would feel the movement was much better, but 48 00:02:11,160 --> 00:02:13,800 Speaker 1: they would feel is a lot worse. UM. Stuff like that. 49 00:02:14,600 --> 00:02:17,520 Speaker 1: It made me realize that you just have to be 50 00:02:17,560 --> 00:02:21,280 Speaker 1: out there. I guess that there's no one amazing three 51 00:02:21,360 --> 00:02:23,760 Speaker 1: days stretch all the time where you're gonna be out 52 00:02:23,800 --> 00:02:26,000 Speaker 1: there and you're gonna kill a deer. Yeah. That that 53 00:02:26,160 --> 00:02:28,720 Speaker 1: for me, like every year I'm reminded of it, but 54 00:02:28,760 --> 00:02:30,760 Speaker 1: then the next year I go back into the season 55 00:02:30,800 --> 00:02:34,040 Speaker 1: forgetting it. It's that the rut, it just it never 56 00:02:34,120 --> 00:02:36,840 Speaker 1: seems to be as advertised, like it's never going to 57 00:02:36,919 --> 00:02:39,519 Speaker 1: be two in two or three weeks of this NonStop 58 00:02:39,560 --> 00:02:43,080 Speaker 1: action and incredible hunting. It sees, you know, long periods 59 00:02:43,320 --> 00:02:46,960 Speaker 1: of you know, just nothing and then little bursts of 60 00:02:47,000 --> 00:02:48,800 Speaker 1: that kind of activity. If you happen to be in 61 00:02:48,800 --> 00:02:50,880 Speaker 1: the right place at the right time with the right deer, 62 00:02:51,480 --> 00:02:54,200 Speaker 1: then you get that magic. But you know, it's it's 63 00:02:54,280 --> 00:02:56,280 Speaker 1: really hard to guess when that's going to be. It's 64 00:02:56,280 --> 00:02:58,079 Speaker 1: hard to be in the right place when it happens. 65 00:02:58,160 --> 00:03:00,720 Speaker 1: So it really is for me that rut is just 66 00:03:00,840 --> 00:03:04,440 Speaker 1: It's about perseverance. It's like, can you stick to it 67 00:03:04,480 --> 00:03:07,640 Speaker 1: long enough for those special moments, because they will happen 68 00:03:07,680 --> 00:03:10,760 Speaker 1: eventually if you're out there, but it's not always going 69 00:03:10,800 --> 00:03:14,760 Speaker 1: to be like a TV show and it happens right away. Um. 70 00:03:14,840 --> 00:03:16,520 Speaker 1: But I don't know, given the fact that you've been 71 00:03:16,560 --> 00:03:18,160 Speaker 1: doing this now and talking to so many people, you've 72 00:03:18,200 --> 00:03:23,080 Speaker 1: kind of had an interesting high level overview. Have you 73 00:03:23,240 --> 00:03:25,800 Speaker 1: have you seen any big I don't know, have you 74 00:03:25,800 --> 00:03:29,080 Speaker 1: taken away any big aha moments or lessons learned from 75 00:03:29,120 --> 00:03:31,880 Speaker 1: this experience hearing from so many hunters over the course 76 00:03:31,880 --> 00:03:34,480 Speaker 1: of this two thousand and sixteen run. Well from the 77 00:03:34,520 --> 00:03:36,880 Speaker 1: podcast in particular, you know, I just talked about how 78 00:03:36,920 --> 00:03:39,720 Speaker 1: I would find myself like disagreeing with the neighboring state, 79 00:03:40,400 --> 00:03:42,480 Speaker 1: but at the same time I realized that this rut 80 00:03:42,640 --> 00:03:46,440 Speaker 1: is really universal. Um, Like, some weeks I would add 81 00:03:46,440 --> 00:03:51,200 Speaker 1: more in common with the people from New York or Oklahoma. Uh, 82 00:03:51,640 --> 00:03:54,200 Speaker 1: then I would with like the Iowa or Minnesota or 83 00:03:54,240 --> 00:03:56,640 Speaker 1: something like that. And it made me realize how close 84 00:03:56,840 --> 00:03:59,280 Speaker 1: all this is happening. You know, I could be a 85 00:03:59,320 --> 00:04:02,360 Speaker 1: thousand miles from one of these guys, but the peak 86 00:04:02,480 --> 00:04:05,600 Speaker 1: breeding or the seeking and chasing phase for both of 87 00:04:05,640 --> 00:04:07,400 Speaker 1: us might only be a couple of days apart, and 88 00:04:07,440 --> 00:04:09,960 Speaker 1: so it's really made me open up my ears. I 89 00:04:10,000 --> 00:04:12,880 Speaker 1: guess to two guys that I always felt like I 90 00:04:12,920 --> 00:04:16,200 Speaker 1: had less in common with, but I really do. UM. 91 00:04:16,440 --> 00:04:18,520 Speaker 1: So that's been one great thing. It almost feels like 92 00:04:19,080 --> 00:04:21,760 Speaker 1: every one of these reports is relevant, even if I'm 93 00:04:21,839 --> 00:04:24,560 Speaker 1: not near where they're hunting. There's a lot of truth 94 00:04:24,560 --> 00:04:27,599 Speaker 1: to that because I think one of the major I 95 00:04:27,600 --> 00:04:31,440 Speaker 1: mean the major factor that that determines at least when 96 00:04:32,000 --> 00:04:34,839 Speaker 1: deer going to Estrius, when a doe comes into Estus 97 00:04:35,480 --> 00:04:39,120 Speaker 1: is just daylight. Is the changing amount of daylight. And 98 00:04:39,200 --> 00:04:42,000 Speaker 1: that is universal. You know, that's not something that's different 99 00:04:42,000 --> 00:04:45,120 Speaker 1: between New York and North and North Dakota. That's happening 100 00:04:45,120 --> 00:04:47,760 Speaker 1: at relatively the same time and anywhere in that part 101 00:04:47,800 --> 00:04:50,000 Speaker 1: of the country. Now there are some differences north to south, 102 00:04:50,480 --> 00:04:52,800 Speaker 1: but um, but that's something that I think lots of 103 00:04:52,839 --> 00:04:55,560 Speaker 1: times we assume the rut is so regional, when in 104 00:04:55,600 --> 00:04:58,239 Speaker 1: many cases it's it's a little bit closer than maybe 105 00:04:58,240 --> 00:05:00,760 Speaker 1: we we think. And I think to your point, when 106 00:05:00,760 --> 00:05:02,520 Speaker 1: we're hearing these types of updates, I think it kind 107 00:05:02,520 --> 00:05:05,039 Speaker 1: of shines a light on that. So that's a really 108 00:05:05,040 --> 00:05:08,040 Speaker 1: interesting observation. You were mentioning a couple other things, though, too, 109 00:05:08,080 --> 00:05:10,159 Speaker 1: write in regards to when you thought the peak was 110 00:05:10,160 --> 00:05:12,080 Speaker 1: and different things a on those lines. It wasn't necessarily 111 00:05:12,080 --> 00:05:15,200 Speaker 1: podcasts related, but just some observations that I had myself. 112 00:05:16,080 --> 00:05:17,360 Speaker 1: One of the one was that I feel like this 113 00:05:17,440 --> 00:05:20,200 Speaker 1: was like the foggiest rut that I've ever been around. 114 00:05:20,440 --> 00:05:22,520 Speaker 1: Um and we had kind of talked about this the 115 00:05:22,560 --> 00:05:25,120 Speaker 1: whole year or the the whole you know, last month 116 00:05:25,200 --> 00:05:28,479 Speaker 1: or so about in the podcast about how mild the 117 00:05:28,520 --> 00:05:31,280 Speaker 1: weather has been. I think that mild weather has just 118 00:05:31,320 --> 00:05:35,880 Speaker 1: like fallen in that absolute perfect zone for foggy mornings, 119 00:05:36,640 --> 00:05:39,120 Speaker 1: and so like I hunt River Bottoms a lot, which is, 120 00:05:39,279 --> 00:05:42,040 Speaker 1: you know, more likely to be foggy there than anywhere else. 121 00:05:42,080 --> 00:05:44,400 Speaker 1: And there would be mornings where my end of October 122 00:05:44,520 --> 00:05:47,839 Speaker 1: and beginning of November, SI's like for a week straight 123 00:05:48,000 --> 00:05:50,600 Speaker 1: where I would haunt my first hour with you know, 124 00:05:51,160 --> 00:05:53,440 Speaker 1: less than like a hundred feet of visibility or less 125 00:05:53,440 --> 00:05:56,280 Speaker 1: than fifty feet of visibility at some point, and that 126 00:05:56,320 --> 00:05:58,680 Speaker 1: has to really make you like scratch your head during 127 00:05:58,720 --> 00:06:00,760 Speaker 1: that time and go May and you know what is 128 00:06:00,760 --> 00:06:03,240 Speaker 1: going on that I'm not seeing. And at the same time, 129 00:06:03,320 --> 00:06:05,240 Speaker 1: what is this tuning for? What is this doing for 130 00:06:05,279 --> 00:06:08,760 Speaker 1: the deer movement? Like if a Bucky's out there looking 131 00:06:08,800 --> 00:06:10,840 Speaker 1: for does he has to be moving almost extra you 132 00:06:10,880 --> 00:06:12,320 Speaker 1: would think? Or was it the opposite, you know, is 133 00:06:12,360 --> 00:06:14,800 Speaker 1: he moving less knowing that it's still foggy right now? 134 00:06:14,880 --> 00:06:18,280 Speaker 1: The visually he can't you know, lay his eyes on anything. 135 00:06:18,640 --> 00:06:21,680 Speaker 1: I don't know. Did you notice like an excessive foggy 136 00:06:21,800 --> 00:06:24,760 Speaker 1: mornings this year or not? I definitely did, And I 137 00:06:24,800 --> 00:06:26,520 Speaker 1: wonder that I had the same as that question as 138 00:06:26,520 --> 00:06:28,039 Speaker 1: you had. You know, there were some of those hunts 139 00:06:28,080 --> 00:06:30,760 Speaker 1: in early November for me, where like, for example, there's 140 00:06:30,800 --> 00:06:33,159 Speaker 1: one two day stretch in particular I can think of 141 00:06:33,240 --> 00:06:36,159 Speaker 1: right now where I hunted the same stand two mornings 142 00:06:36,200 --> 00:06:38,920 Speaker 1: in a row. The first morning, you know, it's like November, 143 00:06:38,960 --> 00:06:41,279 Speaker 1: I don't remember. It was like sixth or fifth or 144 00:06:41,360 --> 00:06:46,800 Speaker 1: seventh summer around there, and that first morning it was clear, crisp, cool, 145 00:06:47,560 --> 00:06:50,120 Speaker 1: and the deer were just everywhere. It was just chaos, 146 00:06:50,200 --> 00:06:52,479 Speaker 1: all sorts of movement. I was back in there the 147 00:06:52,560 --> 00:06:56,520 Speaker 1: very next day, same type of temperature, same type of everything, 148 00:06:56,720 --> 00:07:00,200 Speaker 1: except for really thick fog and it was just dead. 149 00:07:00,640 --> 00:07:02,159 Speaker 1: And I had gone in that more and thinking it 150 00:07:02,160 --> 00:07:04,719 Speaker 1: was gonna be a great morning, and I saw hardly anything. 151 00:07:05,160 --> 00:07:07,479 Speaker 1: And it wasn't one of those things where you know, 152 00:07:07,520 --> 00:07:09,720 Speaker 1: I just wasn't seeing Dear, because I couldn't see a 153 00:07:09,720 --> 00:07:12,960 Speaker 1: long ways. The day before, all the activity I was seeing, 154 00:07:13,000 --> 00:07:15,320 Speaker 1: or at least like the activity I was seeing was 155 00:07:15,360 --> 00:07:17,280 Speaker 1: within like forty yards of me, Like there was deer 156 00:07:17,360 --> 00:07:20,880 Speaker 1: all over and right within range. And now the next day, 157 00:07:21,440 --> 00:07:24,880 Speaker 1: same situation, but with fog, nothing close at all. So 158 00:07:24,920 --> 00:07:26,760 Speaker 1: I was sitting there thinking that the exact same thing 159 00:07:26,800 --> 00:07:29,120 Speaker 1: you're It's like, is the fog just keeping them from 160 00:07:29,120 --> 00:07:32,520 Speaker 1: moving or what's happening here? I don't know, but it 161 00:07:32,880 --> 00:07:34,800 Speaker 1: raised questions. And that's one of those things about the 162 00:07:34,880 --> 00:07:37,480 Speaker 1: rut Is and really Dear Rye in general, is it's 163 00:07:37,480 --> 00:07:40,920 Speaker 1: so fascinating to try to understand how these different factors 164 00:07:41,000 --> 00:07:45,240 Speaker 1: influenced dear movement and behavior. And we can kind of 165 00:07:45,320 --> 00:07:48,600 Speaker 1: guess and you know, put together different hypotheses, but we 166 00:07:48,680 --> 00:07:51,840 Speaker 1: never really know, um. And that's I guess what keeps 167 00:07:51,880 --> 00:07:53,520 Speaker 1: me going out there lots of times, just trying to 168 00:07:53,560 --> 00:07:57,440 Speaker 1: answer those questions that that are tough to answer, sometimes. Yeah, 169 00:07:57,560 --> 00:08:00,000 Speaker 1: I think the lesson there's somebody needs to car about 170 00:08:00,080 --> 00:08:04,040 Speaker 1: the niche of fogginess deer movement on a scale somewhere, 171 00:08:04,080 --> 00:08:07,240 Speaker 1: So we need that intel, that's for sure. Speaking of 172 00:08:07,560 --> 00:08:10,960 Speaker 1: speaking of scales, you're you've become very good at asking 173 00:08:11,000 --> 00:08:14,200 Speaker 1: the question of so and so, how has the deer 174 00:08:14,240 --> 00:08:16,480 Speaker 1: activity been on a scale of one to ten. I 175 00:08:16,520 --> 00:08:18,960 Speaker 1: want to turn that back on new Spencer for the 176 00:08:18,960 --> 00:08:22,360 Speaker 1: two thousand sixteen rut, like your whole November late after 177 00:08:22,440 --> 00:08:24,640 Speaker 1: over a period here, how would you rate the two 178 00:08:24,640 --> 00:08:29,240 Speaker 1: thousand and sixteen rut for you personally? Add personally and 179 00:08:29,280 --> 00:08:31,520 Speaker 1: this is like very personal. I'm just referring myself, not 180 00:08:31,600 --> 00:08:35,080 Speaker 1: even just South Dakota's movement in general. UM, I would 181 00:08:35,080 --> 00:08:37,480 Speaker 1: say it was like a seven. Um. I saw like 182 00:08:37,600 --> 00:08:39,920 Speaker 1: the good movement you'd expect at the end of October group. 183 00:08:40,000 --> 00:08:44,199 Speaker 1: But then my beginning of November was pretty disappointing. Um. 184 00:08:44,240 --> 00:08:46,199 Speaker 1: But then what ended up what happening was I was 185 00:08:46,240 --> 00:08:48,080 Speaker 1: able to get a rifle in my hands. Some of 186 00:08:48,080 --> 00:08:51,720 Speaker 1: these seasons opened up for me that you know, kind 187 00:08:51,760 --> 00:08:53,600 Speaker 1: of crossed over with the rut a little bit, and 188 00:08:53,600 --> 00:08:57,239 Speaker 1: so then the hunting obviously got a lot better. For me. Um, 189 00:08:57,440 --> 00:08:58,959 Speaker 1: had I had a bowl in my hands of it, 190 00:08:58,960 --> 00:09:01,000 Speaker 1: it probably would have been worse and I'd be telling 191 00:09:01,040 --> 00:09:05,520 Speaker 1: you was like a five or six. But I got 192 00:09:05,559 --> 00:09:07,599 Speaker 1: lucky there. That was my saving grace this year was 193 00:09:07,640 --> 00:09:09,000 Speaker 1: being able to pick up a rifle a couple of 194 00:09:09,040 --> 00:09:11,760 Speaker 1: times and get out with that rather than sitting in 195 00:09:11,800 --> 00:09:14,880 Speaker 1: a tree. Yeah, that that helps, definitely helps the odds, 196 00:09:14,880 --> 00:09:18,360 Speaker 1: that's for sure. For me. If I were to try 197 00:09:18,400 --> 00:09:21,719 Speaker 1: to give you my personal ranking, I would probably give 198 00:09:21,760 --> 00:09:25,880 Speaker 1: it a maybe a seven as well, like a six 199 00:09:25,880 --> 00:09:29,200 Speaker 1: and a half to a seven. Um, because I saw 200 00:09:29,200 --> 00:09:33,080 Speaker 1: a really good early action, Like my best running action 201 00:09:33,160 --> 00:09:36,200 Speaker 1: was from like that last week of October through the 202 00:09:36,200 --> 00:09:38,440 Speaker 1: first week of November. That two week period for me, 203 00:09:38,600 --> 00:09:41,720 Speaker 1: I was like in it consistently lots of activity, lots 204 00:09:41,720 --> 00:09:44,120 Speaker 1: of chasing and seeking and all that kind of stuff 205 00:09:44,520 --> 00:09:48,240 Speaker 1: bucks fighting. Um. But then from probably like the eighth 206 00:09:48,600 --> 00:09:53,040 Speaker 1: through like the fifteen or sixteenth or seventeen sixteen, it 207 00:09:53,160 --> 00:09:56,640 Speaker 1: was really low as far as trial camera pictures and 208 00:09:56,840 --> 00:09:59,520 Speaker 1: actual in person sightings. UM. I mean, my time in 209 00:09:59,559 --> 00:10:02,840 Speaker 1: Ohio was really pretty dead. The camera pictures here and 210 00:10:02,880 --> 00:10:06,400 Speaker 1: there and in Michigan were pretty dead. Um. But what's 211 00:10:06,400 --> 00:10:10,160 Speaker 1: interesting is then when I came back from Ohio very 212 00:10:10,160 --> 00:10:12,880 Speaker 1: soon after that, prior round the sixteenth or seventeenth of 213 00:10:12,960 --> 00:10:15,160 Speaker 1: the month, all of a sudden, the cameras like a 214 00:10:15,200 --> 00:10:19,200 Speaker 1: flip switch, and I started getting more daylight and more 215 00:10:19,280 --> 00:10:21,920 Speaker 1: pictures of mature bucks down there than I had all season. 216 00:10:22,480 --> 00:10:24,520 Speaker 1: You know, before i'd been hunting down there, while i'd 217 00:10:24,559 --> 00:10:28,400 Speaker 1: hunted down there after, this is by far the best. Um. 218 00:10:28,520 --> 00:10:30,960 Speaker 1: So it seemed like for whatever it was, you know, 219 00:10:31,040 --> 00:10:33,400 Speaker 1: that was when things were picking up down there, while 220 00:10:33,440 --> 00:10:35,920 Speaker 1: for me in Michigan it was earlier. I don't really 221 00:10:35,920 --> 00:10:37,880 Speaker 1: know what to make of that, but um but it 222 00:10:37,920 --> 00:10:41,000 Speaker 1: was interesting to see. So, speaking of the best, you know, 223 00:10:41,080 --> 00:10:44,040 Speaker 1: a couple of days stretch of hunting in South Dakota here, 224 00:10:44,559 --> 00:10:47,640 Speaker 1: I thought it took place around like November, And this 225 00:10:47,720 --> 00:10:49,520 Speaker 1: is a really strange thing to basis off of, but 226 00:10:49,640 --> 00:10:52,280 Speaker 1: I'll tell the story. So I was hunting like the 227 00:10:52,440 --> 00:10:56,640 Speaker 1: same area for like four straight days in western South Dakota, 228 00:10:56,679 --> 00:10:58,200 Speaker 1: and from where I was staying to where I was hunting, 229 00:10:58,200 --> 00:11:00,880 Speaker 1: it was about a half hour drive it every day. 230 00:11:01,880 --> 00:11:05,200 Speaker 1: On the third day, I saw the rendering truck out 231 00:11:05,240 --> 00:11:08,480 Speaker 1: on this stretch of interstate picking up dead deer um 232 00:11:08,640 --> 00:11:10,880 Speaker 1: and it was about a five to ten mile stretch 233 00:11:10,920 --> 00:11:12,640 Speaker 1: where there had been a lot of deer hit in 234 00:11:12,679 --> 00:11:15,360 Speaker 1: that area. So the rendering truck had cleaned it up 235 00:11:15,480 --> 00:11:17,920 Speaker 1: on like the fourteenth, you know, the interstate no longer 236 00:11:17,960 --> 00:11:21,040 Speaker 1: had any carcasses. The fifteenth that was driving that stretch 237 00:11:21,080 --> 00:11:23,719 Speaker 1: of interstate again and I saw like three bucks over 238 00:11:23,800 --> 00:11:26,000 Speaker 1: one thirty that had been hit overnight. And then I 239 00:11:26,040 --> 00:11:28,320 Speaker 1: saw another deer that had its head cut off that 240 00:11:28,360 --> 00:11:30,559 Speaker 1: was hit the night. So that was under like a 241 00:11:30,640 --> 00:11:33,040 Speaker 1: less than a twenty four hour period that all that 242 00:11:33,080 --> 00:11:36,400 Speaker 1: took place. And so I mean it was incredible to 243 00:11:36,440 --> 00:11:39,080 Speaker 1: me all those deer that got laid out, and you know, 244 00:11:39,120 --> 00:11:42,000 Speaker 1: the odds of those things getting hit on the interstate, 245 00:11:42,400 --> 00:11:45,040 Speaker 1: you know, against how many deal were actually probably moving. 246 00:11:45,520 --> 00:11:49,080 Speaker 1: That had to you know be a significant portion of 247 00:11:50,080 --> 00:11:51,920 Speaker 1: they're their best movement. That had to be when they 248 00:11:52,160 --> 00:11:53,679 Speaker 1: took place there. So I think next year we need 249 00:11:53,679 --> 00:11:55,960 Speaker 1: to start talking to like some rendering truck guys maybe 250 00:11:56,360 --> 00:12:00,840 Speaker 1: houses and see when their activities picking up. Yeah, yeah, 251 00:12:00,960 --> 00:12:04,520 Speaker 1: they're a friend of mine. Um. Craig Doherty always used 252 00:12:04,559 --> 00:12:07,240 Speaker 1: to tell me that the way he tracked the progress 253 00:12:07,240 --> 00:12:09,400 Speaker 1: of the rut in his area was he talked to 254 00:12:09,760 --> 00:12:13,080 Speaker 1: his local UPS guy UM, I think it was UPS 255 00:12:13,160 --> 00:12:15,360 Speaker 1: or FedEx or something like their post office guy. He 256 00:12:15,400 --> 00:12:18,000 Speaker 1: would check with this guy UM, and then he would 257 00:12:18,000 --> 00:12:20,120 Speaker 1: also check with I think it was a car repair 258 00:12:20,280 --> 00:12:23,480 Speaker 1: person UM, like a you know, like a wrecking shop 259 00:12:23,480 --> 00:12:25,880 Speaker 1: where they bring an accident cars that have been an 260 00:12:25,880 --> 00:12:29,720 Speaker 1: accidents from roadkill type situations like that. UM. And those 261 00:12:29,760 --> 00:12:32,040 Speaker 1: two people would give him the update on how much 262 00:12:32,120 --> 00:12:35,079 Speaker 1: road kill there was and how many different cars have 263 00:12:35,200 --> 00:12:38,280 Speaker 1: come in because of it, and he could actually track. 264 00:12:38,360 --> 00:12:41,440 Speaker 1: He'd see it consistently certain times you see it peek 265 00:12:41,559 --> 00:12:43,959 Speaker 1: up and towards mid November and then come back down. 266 00:12:44,520 --> 00:12:46,280 Speaker 1: And so I think there's some interesting things you can 267 00:12:46,320 --> 00:12:50,439 Speaker 1: pull from that type of that type of observational data. 268 00:12:50,480 --> 00:12:53,760 Speaker 1: I guess, because, like you said, if there's that much 269 00:12:53,840 --> 00:12:57,040 Speaker 1: row kill, you know that's obviously because there's been so 270 00:12:57,160 --> 00:13:00,120 Speaker 1: much movement back and forth across the road that's of 271 00:13:00,160 --> 00:13:03,200 Speaker 1: course going to result in a few kills along the way. 272 00:13:03,280 --> 00:13:06,199 Speaker 1: That seemed as relevant is anything that my trailer camers 273 00:13:06,240 --> 00:13:08,440 Speaker 1: were telling me or what I was seeing on stand. 274 00:13:09,400 --> 00:13:13,480 Speaker 1: So November is is about gone? I think today is uh, 275 00:13:13,720 --> 00:13:16,200 Speaker 1: I don't say is November twenty nine or no, and 276 00:13:16,280 --> 00:13:19,920 Speaker 1: so that's basically the end of sweet November. But we 277 00:13:20,000 --> 00:13:24,960 Speaker 1: do have one final set of reports from across the country, right, Spencer. Yeah, 278 00:13:25,040 --> 00:13:27,400 Speaker 1: So we start off with Eric Long in Ohio of 279 00:13:27,480 --> 00:13:31,000 Speaker 1: Drumming Log Wildlife Management, and then we have Clay Forest 280 00:13:31,080 --> 00:13:34,400 Speaker 1: with Stewart Ranch Outfitters in Oklahoma, and then we have 281 00:13:34,440 --> 00:13:37,280 Speaker 1: Mark Kaiser from Deer and Deer Hunting TV in Wyoming, 282 00:13:37,760 --> 00:13:40,120 Speaker 1: and then we end with Bill Winkie in Iowa with 283 00:13:40,280 --> 00:13:45,120 Speaker 1: Midwest white Tail. Awesome. Well, I'm looking forward to hearing 284 00:13:45,120 --> 00:13:47,480 Speaker 1: what they've been seeing and what's happening here in this 285 00:13:47,760 --> 00:13:51,720 Speaker 1: end of November period and then uh, I guess until 286 00:13:51,760 --> 00:13:55,040 Speaker 1: next year. Spencer. Good luck with your hunts in these 287 00:13:55,120 --> 00:13:58,560 Speaker 1: next coming weeks and you know, to another run and 288 00:13:58,720 --> 00:14:02,160 Speaker 1: same to you, Mark. December is definitely no November, but 289 00:14:02,360 --> 00:14:05,319 Speaker 1: at least we get to hunt. That's the truth. Should 290 00:14:05,360 --> 00:14:10,360 Speaker 1: be fun. But quickly before we get to our first update, 291 00:14:10,600 --> 00:14:14,080 Speaker 1: as all weird hunt podcasts are, this episode was brought 292 00:14:14,080 --> 00:14:16,640 Speaker 1: to you by Sitka Gear. If you'd like to learn 293 00:14:16,640 --> 00:14:19,640 Speaker 1: more about sick gears technical hunting comparil, you can visit 294 00:14:19,680 --> 00:14:25,600 Speaker 1: sick of gear dot com and now onto the show alright, 295 00:14:25,600 --> 00:14:28,400 Speaker 1: and joining us on the line first is Eric Long, 296 00:14:28,760 --> 00:14:33,360 Speaker 1: the owner of Drumming Log Wildlife Management. Now, Eric in Ohio, 297 00:14:33,520 --> 00:14:35,680 Speaker 1: what would you say the buck activity has been there 298 00:14:35,760 --> 00:14:37,840 Speaker 1: on a scale of one to ten in this last 299 00:14:37,880 --> 00:14:43,280 Speaker 1: week or so, within the last week or so, UM, 300 00:14:43,320 --> 00:14:46,160 Speaker 1: I would say it's probably about a six to seven 301 00:14:46,280 --> 00:14:52,320 Speaker 1: in some areas even higher. Um right now. Unfortunately, Ohio's 302 00:14:52,360 --> 00:14:56,760 Speaker 1: gun season is in full swing as of yesterday, and 303 00:14:56,920 --> 00:14:59,560 Speaker 1: so it's really just gonna disrupt a little bit of things, 304 00:14:59,600 --> 00:15:03,000 Speaker 1: you know, uh, the activity, uh, in a sense of that. 305 00:15:03,160 --> 00:15:06,000 Speaker 1: So but yeah, i'd stay within the last week. I mean, 306 00:15:06,240 --> 00:15:09,400 Speaker 1: it's it's pretty good. It's still pretty good. So what 307 00:15:09,480 --> 00:15:11,600 Speaker 1: phases the route would you then say that we're in 308 00:15:11,600 --> 00:15:16,560 Speaker 1: in Ohio? Um, without a doubt, I would say here 309 00:15:16,640 --> 00:15:21,360 Speaker 1: on a uh for sure. On the downside of it, um, 310 00:15:21,400 --> 00:15:24,560 Speaker 1: you know, like a week and a half, two weeks ago, 311 00:15:24,840 --> 00:15:28,840 Speaker 1: it was just absolutely insane. I mean it was the wonderful, 312 00:15:28,880 --> 00:15:34,120 Speaker 1: wonderful activity, best I've seen in years. Um. But as 313 00:15:34,160 --> 00:15:37,800 Speaker 1: a week went on, it was definitely dropping those older 314 00:15:37,800 --> 00:15:40,160 Speaker 1: class white tails. You know, they came off those does 315 00:15:40,320 --> 00:15:42,840 Speaker 1: and they were really on their feet and um, you know, 316 00:15:42,880 --> 00:15:45,000 Speaker 1: those two year olds were just acting like bowling balls 317 00:15:45,000 --> 00:15:48,960 Speaker 1: out in the food plot, just blowing everything up, you know. Um, 318 00:15:49,160 --> 00:15:52,280 Speaker 1: but right now, um, you know it's like I was 319 00:15:52,400 --> 00:15:55,680 Speaker 1: hunting the uh this past weekend and I had older 320 00:15:55,680 --> 00:15:57,640 Speaker 1: class white tails three or four year olds in the 321 00:15:57,680 --> 00:16:02,280 Speaker 1: food plot just concentrating on feeding and not any running activity. 322 00:16:02,320 --> 00:16:04,640 Speaker 1: But they were still on their feet in plenty of daylight. 323 00:16:05,000 --> 00:16:06,960 Speaker 1: And those younger bucks, those year and a halfs and 324 00:16:07,000 --> 00:16:10,320 Speaker 1: two year olds were just constantly hounding on those year 325 00:16:10,360 --> 00:16:13,080 Speaker 1: and a half year old does those dough fons that 326 00:16:14,080 --> 00:16:17,840 Speaker 1: met that you know, weight requirement sixty plus pounds that 327 00:16:18,520 --> 00:16:22,760 Speaker 1: that can't come into esters? So they were definitely hounding them. 328 00:16:22,880 --> 00:16:25,200 Speaker 1: But it was very odd that those older class year 329 00:16:25,280 --> 00:16:28,160 Speaker 1: weren't really messing with those just as younger bucks were, 330 00:16:28,320 --> 00:16:30,480 Speaker 1: which is typical, just a bunch of teenagers trying to 331 00:16:30,520 --> 00:16:33,920 Speaker 1: get a date for the dance, you know. So so yeah, 332 00:16:34,080 --> 00:16:37,000 Speaker 1: what about with betting this time of year? Um, say, 333 00:16:37,040 --> 00:16:38,920 Speaker 1: you haven't been out in a couple of weeks and 334 00:16:38,960 --> 00:16:41,360 Speaker 1: you're just getting making this now, do you think the 335 00:16:41,400 --> 00:16:44,880 Speaker 1: betting has changed a lot from like mid mid November 336 00:16:44,920 --> 00:16:49,160 Speaker 1: till now? Yeah? I mean, as a season in the 337 00:16:49,240 --> 00:16:51,760 Speaker 1: state of Ohio. You know, it's just it's a it 338 00:16:51,800 --> 00:16:56,000 Speaker 1: gets pretty pressured anymore, um so, especially you know this 339 00:16:56,040 --> 00:16:58,760 Speaker 1: week of Gunn and M. Yeah, it's but if you 340 00:16:58,880 --> 00:17:01,800 Speaker 1: have a place that's you know, kind of remote and 341 00:17:01,920 --> 00:17:04,360 Speaker 1: you know a special place where the pressure or you're 342 00:17:04,400 --> 00:17:06,520 Speaker 1: in a cd M co walk where the pressure is 343 00:17:06,560 --> 00:17:11,919 Speaker 1: not very you know, uh substantial, definitely, the betting areas 344 00:17:12,080 --> 00:17:14,600 Speaker 1: definitely changed. To answer your question. You know, as the 345 00:17:14,680 --> 00:17:18,199 Speaker 1: foliage comes off and you know, the quality dear, you 346 00:17:18,240 --> 00:17:20,359 Speaker 1: know those bucks that you've got to think cover the 347 00:17:20,400 --> 00:17:23,399 Speaker 1: equals food. I preach it a lot, you know, and 348 00:17:23,400 --> 00:17:25,800 Speaker 1: that's where you know, doing some good quality deer management 349 00:17:25,800 --> 00:17:29,000 Speaker 1: comes in producing those great quality betting areas that have 350 00:17:29,119 --> 00:17:31,760 Speaker 1: food because those older bucks, you know, especially on a 351 00:17:31,840 --> 00:17:34,680 Speaker 1: cd M program, you know, they have lost a lot 352 00:17:34,720 --> 00:17:37,399 Speaker 1: of weight, but they want to feel secure at the 353 00:17:37,400 --> 00:17:39,600 Speaker 1: same time, and you know, doing some teens all management 354 00:17:39,600 --> 00:17:42,000 Speaker 1: and stuff like that produces that. You know, you're putting 355 00:17:42,000 --> 00:17:44,600 Speaker 1: those weight, putting that weight back on those deer's like 356 00:17:44,680 --> 00:17:47,720 Speaker 1: giving them a secure place. So you know, hopefully I 357 00:17:47,760 --> 00:17:49,719 Speaker 1: answer your question, but yeah, you know, to do the 358 00:17:49,760 --> 00:17:53,120 Speaker 1: foliage coming off and you know, feeling secure, So yeah, 359 00:17:53,200 --> 00:17:57,200 Speaker 1: you just you know, I would concentrate myself on um, 360 00:17:57,240 --> 00:17:59,960 Speaker 1: you know this food right now. Are there any food 361 00:18:00,040 --> 00:18:03,880 Speaker 1: in particular that you think are better than others right now? Yeah? 362 00:18:03,920 --> 00:18:07,040 Speaker 1: You know your car you know staregum corn obviously, you 363 00:18:07,080 --> 00:18:10,320 Speaker 1: know obviously beans can you know it's protein, but they 364 00:18:10,320 --> 00:18:12,720 Speaker 1: can you know, they have a the ability to get 365 00:18:12,800 --> 00:18:16,440 Speaker 1: carve out of it. Um. You know your brassicas, your turnips, 366 00:18:16,760 --> 00:18:19,080 Speaker 1: you know your adshes, you know stuff like that. But yeah, 367 00:18:19,119 --> 00:18:22,359 Speaker 1: if you you know, did your your job, um and 368 00:18:22,520 --> 00:18:25,479 Speaker 1: if you had the possibility of planning food plots, you know, 369 00:18:26,680 --> 00:18:28,639 Speaker 1: see that's the thing. And I don't mean to preach 370 00:18:28,720 --> 00:18:31,000 Speaker 1: a little bit, but doing just planning a food plots 371 00:18:31,040 --> 00:18:33,359 Speaker 1: one thing this time, you know, having it available this 372 00:18:33,400 --> 00:18:36,160 Speaker 1: time of year, but more importantly, because of the pressure 373 00:18:36,359 --> 00:18:39,280 Speaker 1: you've got to produce habitat and that covered the equals 374 00:18:39,320 --> 00:18:42,720 Speaker 1: food because those deer, especially in the state of Ohio, 375 00:18:42,800 --> 00:18:45,159 Speaker 1: no matter where you're at in the stable Ohio, you know, 376 00:18:45,200 --> 00:18:47,240 Speaker 1: we're there's a lot of people out there and those 377 00:18:47,280 --> 00:18:50,199 Speaker 1: bucks that we're all trying to trying to kill, you know, 378 00:18:50,800 --> 00:18:53,720 Speaker 1: they want to feel secure. And if there's quality betting 379 00:18:53,760 --> 00:18:57,000 Speaker 1: areas next to those soups, food sources. You know, your 380 00:18:57,080 --> 00:19:00,720 Speaker 1: chances of at least an opportunity of viewing um uh, 381 00:19:00,760 --> 00:19:04,800 Speaker 1: if not killing them. You know, it is a great possibility. Yeah, 382 00:19:04,800 --> 00:19:07,280 Speaker 1: that's that's a great point. But what about going forward 383 00:19:07,280 --> 00:19:09,200 Speaker 1: in this next week or so, what do you think 384 00:19:09,200 --> 00:19:11,320 Speaker 1: the buck activity is going to be then? On the 385 00:19:11,320 --> 00:19:15,520 Speaker 1: scale of one to ten um next week or two um, 386 00:19:15,560 --> 00:19:18,119 Speaker 1: I would say it's gonna be minimal because of the 387 00:19:18,160 --> 00:19:21,040 Speaker 1: firearms season that's going on in Ohile. I mean, it's 388 00:19:21,080 --> 00:19:24,720 Speaker 1: gonna be a lot of nocturnal activity. Just be patient, 389 00:19:25,040 --> 00:19:28,240 Speaker 1: you know, it's it's and I say this jokingly, it's 390 00:19:28,240 --> 00:19:30,919 Speaker 1: almost take a week off after gun season. And I 391 00:19:30,960 --> 00:19:34,160 Speaker 1: say that jokingly obviously, but because those dear it's gonna 392 00:19:34,200 --> 00:19:35,760 Speaker 1: take them a little bit to get back on their 393 00:19:35,840 --> 00:19:39,639 Speaker 1: their their on their program, on your program because of 394 00:19:39,680 --> 00:19:43,720 Speaker 1: all the disruption, you know, people doing deer drives or 395 00:19:43,760 --> 00:19:45,960 Speaker 1: you know, just the activity that's normally not there. So 396 00:19:46,000 --> 00:19:47,920 Speaker 1: it's gonna take them a while to get feel feel 397 00:19:47,920 --> 00:19:52,440 Speaker 1: comfortable again to you know, utilize those food plots uh 398 00:19:52,520 --> 00:19:54,960 Speaker 1: in daylight hours. All right, Eric, Well that's some great 399 00:19:55,000 --> 00:19:57,800 Speaker 1: information and thanks for joining us. Yes, not a problem 400 00:19:57,840 --> 00:20:00,919 Speaker 1: anytime you know that, all right, And enjoining me on 401 00:20:00,960 --> 00:20:04,680 Speaker 1: the line next is Clay Forest, the operator of Stewart 402 00:20:04,840 --> 00:20:08,440 Speaker 1: Ranch Outfitters now Clay in Oklahoma. What would you say 403 00:20:08,480 --> 00:20:10,520 Speaker 1: the RUT activity has been there on the scale of 404 00:20:10,600 --> 00:20:14,800 Speaker 1: one to ten in this last week or so? Uh, 405 00:20:14,960 --> 00:20:18,280 Speaker 1: we are probably right around Uh, I'm gonna call it 406 00:20:18,320 --> 00:20:22,240 Speaker 1: about an eight right now. Uh, We're we're experienced a 407 00:20:22,359 --> 00:20:25,440 Speaker 1: little bit of lockdown, UM in the last couple of 408 00:20:25,520 --> 00:20:28,440 Speaker 1: three or four days. Prior to that, right around Thanksgiving, 409 00:20:28,440 --> 00:20:31,359 Speaker 1: it was it was really going pretty high here as 410 00:20:31,400 --> 00:20:34,359 Speaker 1: far as h RUT activity. So we're we're kind of 411 00:20:34,359 --> 00:20:37,600 Speaker 1: on the downhill swing as far as prime rut time 412 00:20:37,720 --> 00:20:40,280 Speaker 1: here in southern Oklahoma. But I still I still think 413 00:20:40,320 --> 00:20:42,480 Speaker 1: we're about an eight, seven and eight at this point. 414 00:20:42,720 --> 00:20:45,359 Speaker 1: So do you think it's been better than that this year? 415 00:20:45,480 --> 00:20:50,320 Speaker 1: Or is an eight the highest it's been for you guys? Um, 416 00:20:50,359 --> 00:20:54,520 Speaker 1: I'm gonna say eight's kind of the high. Um, We've 417 00:20:54,560 --> 00:20:57,040 Speaker 1: kind of had a weird year as far as just 418 00:20:57,600 --> 00:21:02,600 Speaker 1: um overall RUT activity. The um for the most part, 419 00:21:03,359 --> 00:21:05,560 Speaker 1: it's it's it's it's it. We've had days where it's 420 00:21:05,600 --> 00:21:08,440 Speaker 1: been really really uh been a high number, you know, say, 421 00:21:08,440 --> 00:21:10,520 Speaker 1: at nine or ten and then the very next day 422 00:21:10,560 --> 00:21:12,679 Speaker 1: it's it's gone back down. So it's kind of been 423 00:21:12,840 --> 00:21:14,680 Speaker 1: an up and down year as far as r I 424 00:21:14,720 --> 00:21:16,960 Speaker 1: don't think it ever really just plateaued or anything to 425 00:21:17,040 --> 00:21:20,080 Speaker 1: that nature. So um, I think I think it hates 426 00:21:20,119 --> 00:21:23,400 Speaker 1: about as good as we got this year. How has 427 00:21:23,480 --> 00:21:26,639 Speaker 1: that been translated to your clients and they're hunting for 428 00:21:26,640 --> 00:21:28,760 Speaker 1: this last week? If it's net at and eight, have 429 00:21:28,840 --> 00:21:30,720 Speaker 1: you guys gotten a lot of mature bucks on the ground, 430 00:21:30,760 --> 00:21:34,200 Speaker 1: then Uh, yes, sir, but we've had to earn on 431 00:21:34,320 --> 00:21:38,440 Speaker 1: the last last few days or really quite since Thanksgiving, 432 00:21:38,680 --> 00:21:41,840 Speaker 1: We've we've got some good mature mature bucks on the ground, 433 00:21:42,840 --> 00:21:45,080 Speaker 1: but they've definitely made us earn them as far as 434 00:21:45,119 --> 00:21:47,000 Speaker 1: we're fortunate enough to be able to glass in our 435 00:21:47,000 --> 00:21:49,240 Speaker 1: country and kind of make moves onto your if we 436 00:21:49,280 --> 00:21:50,600 Speaker 1: need to, if they were to bet down at the 437 00:21:50,640 --> 00:21:53,600 Speaker 1: dough and and that sort of thing. So um, even 438 00:21:53,600 --> 00:21:55,399 Speaker 1: though I think it's uh, we're experienced a little bit 439 00:21:55,400 --> 00:21:58,520 Speaker 1: of locked down and at some unseasonally warm warm temperature 440 00:21:58,560 --> 00:22:00,280 Speaker 1: is kind of like we've been battling all year, still 441 00:22:00,320 --> 00:22:03,280 Speaker 1: been able to get mature deer on the ground. What 442 00:22:03,320 --> 00:22:06,359 Speaker 1: about with those mature deers specifically, Um, what kind of 443 00:22:06,400 --> 00:22:09,320 Speaker 1: activity have you seen them have over these last few days. 444 00:22:09,320 --> 00:22:11,880 Speaker 1: Do you think that they're showing any interest in the doughs? 445 00:22:11,920 --> 00:22:14,400 Speaker 1: Are they focusing on food? Do you think it's lockdown 446 00:22:14,400 --> 00:22:17,919 Speaker 1: with what's going on there? Um, Honestly, I'm gonna give 447 00:22:17,960 --> 00:22:19,520 Speaker 1: you a fifty fifty answer. I think it's a little 448 00:22:19,560 --> 00:22:21,840 Speaker 1: bit of both. We just got a mature deer down 449 00:22:21,920 --> 00:22:24,520 Speaker 1: last night. He's go to school right at right at 450 00:22:24,560 --> 00:22:26,639 Speaker 1: one fifty five and a half year old deer that 451 00:22:26,680 --> 00:22:29,760 Speaker 1: has been chasing does for the last two or three days. 452 00:22:30,080 --> 00:22:33,040 Speaker 1: We've had eyes on him, and that was kind of 453 00:22:33,080 --> 00:22:35,560 Speaker 1: toward the north end of the ranch. We shot a 454 00:22:35,560 --> 00:22:38,480 Speaker 1: buck two days ago, again, another five and a half 455 00:22:38,560 --> 00:22:42,360 Speaker 1: year old mature buck who really was just coming to food. Uh, 456 00:22:42,400 --> 00:22:44,480 Speaker 1: he came in off a big grain field or we 457 00:22:44,600 --> 00:22:46,760 Speaker 1: feel that we've got and kind of funneled into a 458 00:22:46,840 --> 00:22:48,920 Speaker 1: draw and we got a shot on them, but did 459 00:22:49,040 --> 00:22:52,520 Speaker 1: not care too much about about does. So we're experiencing 460 00:22:52,520 --> 00:22:54,560 Speaker 1: a little bit of both. Um. So it's kind of 461 00:22:54,600 --> 00:22:57,880 Speaker 1: mate hunting a little interesting here in the last week 462 00:22:57,920 --> 00:23:00,440 Speaker 1: and a half ten days or so, well, last i'ment 463 00:23:00,520 --> 00:23:01,800 Speaker 1: talked to you in I think it was the end 464 00:23:01,800 --> 00:23:05,080 Speaker 1: of October. We had talked about how the unseasonably warm 465 00:23:05,119 --> 00:23:08,560 Speaker 1: temperatures had really suppressed the dear movement. Do you think 466 00:23:08,600 --> 00:23:11,879 Speaker 1: that the weather right now plays as big a factor 467 00:23:11,920 --> 00:23:14,720 Speaker 1: as it did two or three weeks ago in Uh, No, sir, 468 00:23:14,800 --> 00:23:17,200 Speaker 1: I don't think so. We're still seeing a lot of movement, 469 00:23:17,240 --> 00:23:19,880 Speaker 1: and it it's pretty close to normal. Um. As far 470 00:23:19,960 --> 00:23:22,560 Speaker 1: as as weather, when I talked to you last we 471 00:23:22,560 --> 00:23:25,480 Speaker 1: were fifteen degrees above normal. We're right now. It's it's 472 00:23:25,480 --> 00:23:28,639 Speaker 1: pretty close to being right. So, uh, We've seeing a 473 00:23:28,640 --> 00:23:31,159 Speaker 1: lot of deer funneling in the big fields and that 474 00:23:31,240 --> 00:23:33,800 Speaker 1: sort of thing. So as far as overall activity, I 475 00:23:34,119 --> 00:23:35,800 Speaker 1: think the weather is not really planning just a big 476 00:23:35,800 --> 00:23:37,440 Speaker 1: part into it. We're supposed to get a big front 477 00:23:37,440 --> 00:23:38,880 Speaker 1: here in the next couple of days, and I think 478 00:23:38,880 --> 00:23:41,160 Speaker 1: in the next a little bit it should be should 479 00:23:41,160 --> 00:23:44,159 Speaker 1: be pretty pretty good as fart dear movement. So, speaking 480 00:23:44,200 --> 00:23:45,680 Speaker 1: of the next couple of days, what do you think 481 00:23:45,720 --> 00:23:47,960 Speaker 1: that bucket activity is going to be in this next 482 00:23:47,960 --> 00:23:50,000 Speaker 1: week or so? On a scale of one to ten, 483 00:23:51,200 --> 00:23:52,920 Speaker 1: I'm gonna I'm not gonna call it a ten, but 484 00:23:52,960 --> 00:23:55,200 Speaker 1: I'm gonna call it pretty close. We're we're gonna get 485 00:23:55,240 --> 00:23:58,360 Speaker 1: our first two or three or four days stretch of 486 00:23:58,600 --> 00:24:02,440 Speaker 1: cold weather. Um, we're supposed to have a little precipitation 487 00:24:02,480 --> 00:24:04,520 Speaker 1: this weekend which might kind of done it a little bit. 488 00:24:04,600 --> 00:24:07,119 Speaker 1: But um, I think the high for here on Saturdays 489 00:24:07,160 --> 00:24:09,960 Speaker 1: like forty five, which is a little bit low normal. 490 00:24:10,080 --> 00:24:13,440 Speaker 1: So really looking forward from about actually from about Thursday 491 00:24:13,480 --> 00:24:15,960 Speaker 1: to Monday is looking We're looking really well, are looking 492 00:24:16,000 --> 00:24:19,920 Speaker 1: good as far as uh uh deer movement and buck activity. 493 00:24:20,040 --> 00:24:22,280 Speaker 1: So I really think if you're in southern Oklahoma in 494 00:24:22,280 --> 00:24:24,639 Speaker 1: the next week, week and a half, it ought to 495 00:24:24,680 --> 00:24:27,520 Speaker 1: be really really good. Alright, Clay Well, I love following 496 00:24:27,520 --> 00:24:29,840 Speaker 1: the Facebook page and I'm excited to keep checking out 497 00:24:29,840 --> 00:24:32,480 Speaker 1: over this next week or so with the best movement 498 00:24:32,800 --> 00:24:35,080 Speaker 1: on its way. So thanks for your call, yes, sir, 499 00:24:35,119 --> 00:24:39,320 Speaker 1: thank you, Spenser, appreciate it alright. And joining me on 500 00:24:39,359 --> 00:24:42,879 Speaker 1: the line next is Mark Kaiser, co host of Deer 501 00:24:42,920 --> 00:24:46,479 Speaker 1: and Deer Hunting TV and outdoor writer. Now, Mark had 502 00:24:46,520 --> 00:24:48,720 Speaker 1: just talked to you last week about the rut activity 503 00:24:48,720 --> 00:24:52,040 Speaker 1: in Nebraska, but lately over Thanksgiving, I know you were 504 00:24:52,040 --> 00:24:54,879 Speaker 1: back in your home state of Wyoming. How would you 505 00:24:54,880 --> 00:24:57,240 Speaker 1: say the bucket activity has been there on a scale 506 00:24:57,280 --> 00:24:59,280 Speaker 1: of one to ten in this last week or so, 507 00:25:00,800 --> 00:25:04,439 Speaker 1: I would say it's still rating at a sixth or 508 00:25:04,480 --> 00:25:09,119 Speaker 1: a seven for white tails. But on the opposite spectrum, 509 00:25:09,400 --> 00:25:13,639 Speaker 1: the mule deer spectrum, there's is winding down quicker, and 510 00:25:13,680 --> 00:25:17,560 Speaker 1: I'm I wouldn't even rank that as a four probably, 511 00:25:18,359 --> 00:25:21,840 Speaker 1: you know, three maybe, but a four, but not a five. 512 00:25:21,920 --> 00:25:24,560 Speaker 1: The mules deer were already what we were seeing is 513 00:25:24,560 --> 00:25:28,600 Speaker 1: they were banning up in bachelor groups, already not not 514 00:25:28,760 --> 00:25:32,159 Speaker 1: at all mindful, worrying about having two or three bucks 515 00:25:32,160 --> 00:25:35,199 Speaker 1: together in a group, whereas the white tails there were 516 00:25:35,200 --> 00:25:38,199 Speaker 1: still some chasing going on. It actually impressed me how 517 00:25:38,240 --> 00:25:42,320 Speaker 1: much activity was out there. So we're encroaching the beginning 518 00:25:42,359 --> 00:25:45,040 Speaker 1: days of December here. What about a secondary rout in 519 00:25:45,040 --> 00:25:48,360 Speaker 1: that area? Is that something that you ever witness I've 520 00:25:48,359 --> 00:25:50,720 Speaker 1: witnessed it a lot. You know, I grew grew up 521 00:25:50,800 --> 00:25:52,920 Speaker 1: and spent a lot of time hunting in the Dakota's, 522 00:25:53,520 --> 00:25:56,879 Speaker 1: living here in Wyoming, hunting extensively in Montana. You do 523 00:25:57,119 --> 00:26:00,600 Speaker 1: see that. The problem with so many of the states, 524 00:26:00,720 --> 00:26:03,400 Speaker 1: and in the two I just mentioned Montana Wyoming, is 525 00:26:03,640 --> 00:26:06,480 Speaker 1: there's no December hunting seasons, you've got to move back 526 00:26:06,520 --> 00:26:09,879 Speaker 1: over to the Dakotas. And the research that I've read 527 00:26:10,160 --> 00:26:13,280 Speaker 1: and and talked to the biologist stuff is you're looking 528 00:26:13,320 --> 00:26:17,359 Speaker 1: at about a ten per cent uh group of dolls 529 00:26:17,440 --> 00:26:20,959 Speaker 1: that haven't been bred yet, and and that seems like 530 00:26:21,200 --> 00:26:23,959 Speaker 1: maybe not a lot, but when you're only get to 531 00:26:24,040 --> 00:26:29,040 Speaker 1: have that little fling once a year, ten group of 532 00:26:29,080 --> 00:26:32,679 Speaker 1: dolls coming back into asterisk can can spike the activity, 533 00:26:33,240 --> 00:26:36,840 Speaker 1: albeit even for a brief time period. Yes, so in 534 00:26:36,880 --> 00:26:39,000 Speaker 1: these coming days, if you were looking to fill a 535 00:26:39,040 --> 00:26:42,159 Speaker 1: tag in the Dakotas or wyoming, or what would be 536 00:26:42,160 --> 00:26:44,600 Speaker 1: your tactics would you be focusing on dolls are looking 537 00:26:44,680 --> 00:26:47,959 Speaker 1: for food or different kind of betting. You've probably mentioned 538 00:26:47,960 --> 00:26:49,920 Speaker 1: the three things and and it comes down to three 539 00:26:50,000 --> 00:26:54,000 Speaker 1: things all the time. But a definitely find those dough 540 00:26:54,080 --> 00:26:58,000 Speaker 1: groups fine where the bigger numbers of dos are congregating, 541 00:26:58,240 --> 00:27:00,720 Speaker 1: and that's going to lead you to be which is 542 00:27:00,800 --> 00:27:04,639 Speaker 1: food because these deer are just burnt down to the 543 00:27:04,680 --> 00:27:07,080 Speaker 1: bone now, the bucks especially, but the doughs have run 544 00:27:07,119 --> 00:27:11,280 Speaker 1: a lot too. Uh again stuff I've read they're they're 545 00:27:11,280 --> 00:27:16,320 Speaker 1: burning of their body weight off during the rut. They've 546 00:27:16,359 --> 00:27:18,640 Speaker 1: got to gain some of that back, they'll never gain 547 00:27:18,680 --> 00:27:20,359 Speaker 1: it all back, so they're going to be going to 548 00:27:20,520 --> 00:27:24,399 Speaker 1: the good food sources. And again that's where the doughs 549 00:27:24,440 --> 00:27:26,679 Speaker 1: are gathering. And then the third thing to look for 550 00:27:26,840 --> 00:27:30,680 Speaker 1: is sanctuary and refuge. In many of these states, these 551 00:27:30,720 --> 00:27:35,199 Speaker 1: deer have been hunted non stop since September. Think about it. 552 00:27:35,240 --> 00:27:38,120 Speaker 1: If you've been hunted and pursued for them any days 553 00:27:38,160 --> 00:27:41,080 Speaker 1: on end, you know where all the good hiding spots are, 554 00:27:41,200 --> 00:27:43,440 Speaker 1: or you're not alive. You've already taken a ride in 555 00:27:43,480 --> 00:27:46,680 Speaker 1: a Coleman cooler somewhere. So you've got to know where 556 00:27:46,720 --> 00:27:49,879 Speaker 1: the good safety zones are, where the good food is, 557 00:27:49,960 --> 00:27:53,200 Speaker 1: and if you want to have that last um little 558 00:27:53,240 --> 00:27:56,160 Speaker 1: fling on dating dot com, you've got to know where 559 00:27:56,160 --> 00:27:58,879 Speaker 1: the doughs are. Well, Mark, I saw your son just 560 00:27:58,920 --> 00:28:01,280 Speaker 1: killed a great buck there, and why coming over Thanksgiving break, 561 00:28:01,280 --> 00:28:03,440 Speaker 1: why don't you tell us about that hunting, the deer 562 00:28:03,480 --> 00:28:07,480 Speaker 1: activity you saw in those sits. And I just i'd 563 00:28:07,520 --> 00:28:09,800 Speaker 1: just come back myself, so I hadn't had a lot 564 00:28:09,800 --> 00:28:12,520 Speaker 1: of time to scout. I scouted one evening the night 565 00:28:12,560 --> 00:28:15,440 Speaker 1: before Thanksgiving, and he was flying home late that night, 566 00:28:16,000 --> 00:28:18,720 Speaker 1: and what I saw was some pretty good buck activity 567 00:28:18,760 --> 00:28:21,320 Speaker 1: that night. It was cool. There was four or five 568 00:28:21,359 --> 00:28:24,280 Speaker 1: bucks working a group of dos and they were definitely 569 00:28:24,280 --> 00:28:26,720 Speaker 1: in pursuit. And I spotted another buck off on the 570 00:28:26,720 --> 00:28:29,919 Speaker 1: stage brush. These are white tails. That was had a 571 00:28:29,920 --> 00:28:32,520 Speaker 1: hot doll. He had pushed off out and away from 572 00:28:32,600 --> 00:28:34,600 Speaker 1: all the other deer. So to me, it looked like 573 00:28:34,640 --> 00:28:37,080 Speaker 1: it's going to be a good hunt. We we ran 574 00:28:37,200 --> 00:28:41,200 Speaker 1: right into that exact factor. The next morning, a lot 575 00:28:41,240 --> 00:28:44,760 Speaker 1: of deer moving. We were hunting some creek bottoms. The 576 00:28:44,840 --> 00:28:48,800 Speaker 1: bucks were cruising, the dos were still wanting to get 577 00:28:48,920 --> 00:28:51,760 Speaker 1: you know, and be chased by the bucks. And uh, 578 00:28:51,960 --> 00:28:54,800 Speaker 1: we even spotted a hot doll that afternoon. And then 579 00:28:54,880 --> 00:28:57,720 Speaker 1: driving out that day, we spotted a really big buck 580 00:28:57,800 --> 00:28:59,840 Speaker 1: cruise in the middle of the day, ten or ten 581 00:29:00,040 --> 00:29:02,160 Speaker 1: living in the morning. He walked right across the road 582 00:29:02,160 --> 00:29:04,480 Speaker 1: in front of us. We tried to get on him, 583 00:29:04,480 --> 00:29:07,520 Speaker 1: but we couldn't get on him. And uh, but the 584 00:29:07,560 --> 00:29:10,560 Speaker 1: problem we ran into and this is the problem. You know, 585 00:29:10,640 --> 00:29:14,080 Speaker 1: I'm no different than anyone else. Right, that was Thanksgiving, 586 00:29:14,120 --> 00:29:17,040 Speaker 1: We hunted. Nobody was out the next day. Everybody had 587 00:29:17,040 --> 00:29:20,360 Speaker 1: the three day weekend and people were everywhere. And I 588 00:29:20,400 --> 00:29:23,680 Speaker 1: didn't have exclusive rights to this property. So we were 589 00:29:23,720 --> 00:29:26,520 Speaker 1: sitting there waiting for the bucks to come to us. Well, 590 00:29:26,560 --> 00:29:29,120 Speaker 1: there's other people hunting this property for the next two 591 00:29:29,200 --> 00:29:32,720 Speaker 1: days wanted to do deer drive and they just totally 592 00:29:32,760 --> 00:29:35,120 Speaker 1: pushed everything off the property. So I had to go 593 00:29:35,200 --> 00:29:37,920 Speaker 1: to Plan B, which was to hunt where we've seen 594 00:29:37,920 --> 00:29:41,480 Speaker 1: this bigger buck and hunt on the fringe areas where 595 00:29:41,480 --> 00:29:44,240 Speaker 1: deer were going back and forth between property boundaries. And 596 00:29:44,280 --> 00:29:46,080 Speaker 1: that gets a little sticky because then you've got to 597 00:29:46,080 --> 00:29:48,880 Speaker 1: make sure that your shot is perfect dead on, because 598 00:29:48,880 --> 00:29:51,440 Speaker 1: you don't want to deal with angry landowners of a buck, 599 00:29:51,800 --> 00:29:53,600 Speaker 1: you know, jumps the fence and you got to track 600 00:29:53,720 --> 00:29:56,440 Speaker 1: him on the other side. And uh, we stuck to 601 00:29:56,440 --> 00:29:59,240 Speaker 1: our guns there and went after the big ones and 602 00:30:00,000 --> 00:30:02,320 Speaker 1: out of a big one and Cole made a great 603 00:30:02,360 --> 00:30:04,840 Speaker 1: stock on a buck that was on a hot doll. 604 00:30:05,320 --> 00:30:07,600 Speaker 1: Another buck was there and another doll, so he had 605 00:30:07,640 --> 00:30:11,040 Speaker 1: to crawl in close to these deer without being spotted 606 00:30:11,320 --> 00:30:13,920 Speaker 1: with all these eyes, and he did it. He ground 607 00:30:13,960 --> 00:30:16,680 Speaker 1: crawled right on his belly right there through some prairie 608 00:30:16,680 --> 00:30:18,960 Speaker 1: graphs and and made a great shot at just under 609 00:30:19,000 --> 00:30:21,560 Speaker 1: three yards on a buck that was running yet right 610 00:30:21,560 --> 00:30:23,880 Speaker 1: at the end of November. Well, if you want to 611 00:30:23,880 --> 00:30:25,720 Speaker 1: see some awesome pictures from that hot you can check 612 00:30:25,760 --> 00:30:29,080 Speaker 1: out Mark Keyser's Facebook page. But Mark, going forward in 613 00:30:29,120 --> 00:30:31,320 Speaker 1: this next week or so, what do you think the 614 00:30:31,360 --> 00:30:33,959 Speaker 1: bucket activity is going to be then in that area, 615 00:30:35,200 --> 00:30:37,920 Speaker 1: in this area and much of the white tailed zone, 616 00:30:38,040 --> 00:30:42,040 Speaker 1: but specifically this area, it's gonna start dropping off fast 617 00:30:42,160 --> 00:30:45,360 Speaker 1: and in some places. One of the other spots we 618 00:30:45,520 --> 00:30:49,280 Speaker 1: looked at that very day shot that buck. I went 619 00:30:49,280 --> 00:30:52,160 Speaker 1: to another property and last day it was almost night 620 00:30:52,160 --> 00:30:54,640 Speaker 1: and day. Those white tail bucks were kind of laid up, 621 00:30:55,240 --> 00:30:58,120 Speaker 1: not really want to run. So you're going to see 622 00:30:58,120 --> 00:31:01,120 Speaker 1: in the next week it's it's gonna are shutting down fast. 623 00:31:01,480 --> 00:31:04,480 Speaker 1: Now that doesn't mean you still can't get into some running, 624 00:31:04,920 --> 00:31:06,880 Speaker 1: but what it will mean is the bucks that have 625 00:31:06,960 --> 00:31:09,680 Speaker 1: done the majority of the running, especially the four and 626 00:31:09,680 --> 00:31:12,680 Speaker 1: a half year old that you know, they're just the athletes, 627 00:31:13,240 --> 00:31:16,440 Speaker 1: they're gonna be pretty darned tired. You're gonna see the 628 00:31:16,520 --> 00:31:19,000 Speaker 1: two and a half year old still moving good, some 629 00:31:19,080 --> 00:31:21,320 Speaker 1: of the three and a half year old, but four 630 00:31:21,400 --> 00:31:25,040 Speaker 1: fives and up, those deer that are their dominant deer, 631 00:31:25,560 --> 00:31:27,760 Speaker 1: they're they're tired and they're not gonna do any hard 632 00:31:27,840 --> 00:31:32,480 Speaker 1: running unless they absolutely know what doe was an asterisk. Alright, Mark, 633 00:31:32,520 --> 00:31:34,600 Speaker 1: well that's some great information and good luck on the 634 00:31:34,640 --> 00:31:37,840 Speaker 1: rest of your season. Thanks for joining me. Thank you sir, 635 00:31:39,560 --> 00:31:41,760 Speaker 1: all right and joining me on the line. Last is 636 00:31:41,840 --> 00:31:46,120 Speaker 1: Bill Winkie, the owner of Midwest White Tails. Now, Bill, 637 00:31:46,200 --> 00:31:48,920 Speaker 1: you have had an outstanding season thus far, taking two 638 00:31:49,040 --> 00:31:51,160 Speaker 1: incredible bucks, but I know you're still on the hunt 639 00:31:51,200 --> 00:31:54,400 Speaker 1: for some doughs in Iowa there. What would you say 640 00:31:54,400 --> 00:31:56,400 Speaker 1: the buck activity has been on a scale of one 641 00:31:56,440 --> 00:32:00,160 Speaker 1: to ten lately, so during the past week, Uh, I 642 00:32:00,160 --> 00:32:03,800 Speaker 1: think it really starts ramping down, um during the week 643 00:32:03,840 --> 00:32:06,960 Speaker 1: that we're in. So, you know, four or five days ago, 644 00:32:06,960 --> 00:32:09,760 Speaker 1: I might have said it was a six, and now 645 00:32:09,800 --> 00:32:13,160 Speaker 1: I might say that it's a three or a four. Um, 646 00:32:13,200 --> 00:32:15,840 Speaker 1: you know, working its way downward just because of the 647 00:32:15,840 --> 00:32:20,920 Speaker 1: distance we are from the the breeding cycle that you 648 00:32:21,000 --> 00:32:22,880 Speaker 1: just get that trailing off a fact where you've got 649 00:32:22,880 --> 00:32:24,640 Speaker 1: a few doughs that are still an asteris and then 650 00:32:24,640 --> 00:32:27,120 Speaker 1: they start to get mopped up and then pretty soon 651 00:32:27,160 --> 00:32:29,720 Speaker 1: you know, there's really not much left um to get 652 00:32:29,760 --> 00:32:33,200 Speaker 1: those bucks on their feet. So my thinking is usually 653 00:32:33,320 --> 00:32:38,480 Speaker 1: around they of November is more or less when the 654 00:32:38,560 --> 00:32:42,320 Speaker 1: primary ruts starts to shut down to the point where 655 00:32:43,200 --> 00:32:45,480 Speaker 1: you know, I don't hut mornings typically after about the 656 00:32:46,120 --> 00:32:49,320 Speaker 1: November because the amount of daylight movement in the morning 657 00:32:50,240 --> 00:32:53,760 Speaker 1: is pretty low among bucks. Um. There's always exceptions. Of course, 658 00:32:53,800 --> 00:32:56,640 Speaker 1: individual deer can behave differently, and you can have you know, 659 00:32:56,720 --> 00:33:01,160 Speaker 1: certain population dynamics where you've got maybe a higher number 660 00:33:01,160 --> 00:33:02,840 Speaker 1: of doughs in a certain area where maybe you're gonna 661 00:33:02,840 --> 00:33:04,560 Speaker 1: pick up a few more of them, you know, a 662 00:33:04,600 --> 00:33:06,320 Speaker 1: few more bucks on their feet, you know, trying to 663 00:33:06,320 --> 00:33:09,200 Speaker 1: find that last dough. But you know, on average, the 664 00:33:09,920 --> 00:33:13,320 Speaker 1: November is kind of the closing date in my mind 665 00:33:13,360 --> 00:33:16,400 Speaker 1: for the normal running activity. Do you think that the 666 00:33:16,560 --> 00:33:21,000 Speaker 1: buck movement in general has declined or just the daylight movement. 667 00:33:21,600 --> 00:33:24,560 Speaker 1: I think they're in bucks. I think the ball movement 668 00:33:24,560 --> 00:33:28,080 Speaker 1: in general has declined. Um. But overall, if you're looking 669 00:33:28,120 --> 00:33:30,400 Speaker 1: for deer, I think the amount of deer movement is 670 00:33:30,400 --> 00:33:34,720 Speaker 1: actually up now because the dose kind of hide during 671 00:33:34,720 --> 00:33:38,880 Speaker 1: the the peak of the breeding portion of the rut. 672 00:33:38,920 --> 00:33:40,920 Speaker 1: They just get pastored so much, they just don't really 673 00:33:40,960 --> 00:33:42,640 Speaker 1: come out and they opened very much like they do 674 00:33:43,080 --> 00:33:45,680 Speaker 1: you know, other times of the season. So I'm seeing 675 00:33:45,680 --> 00:33:48,240 Speaker 1: a lot more doughs, now tons of dos, and then 676 00:33:48,240 --> 00:33:52,640 Speaker 1: the odd box still poking around. But it's not you know, 677 00:33:52,800 --> 00:33:55,080 Speaker 1: it's it's not anything like which you would have seen 678 00:33:55,120 --> 00:33:58,400 Speaker 1: even just a week ago. So you really alluded to 679 00:33:58,600 --> 00:34:01,440 Speaker 1: evening sits there. Um, if you were hunting an evening 680 00:34:01,520 --> 00:34:04,280 Speaker 1: still trying to get a buck on the ground, would 681 00:34:04,280 --> 00:34:06,720 Speaker 1: you be more focused on their bedding or dose? Right now? 682 00:34:06,800 --> 00:34:11,120 Speaker 1: We're looking for a food source. I've I've had pretty 683 00:34:11,160 --> 00:34:13,840 Speaker 1: decent success at this time of the season um in 684 00:34:13,880 --> 00:34:17,080 Speaker 1: the past, and I was always hunting on food. This year, 685 00:34:17,320 --> 00:34:19,000 Speaker 1: I don't have a buck tag last We saw a 686 00:34:19,000 --> 00:34:21,080 Speaker 1: pretty nice block last night while we were dough hunting, 687 00:34:22,280 --> 00:34:24,520 Speaker 1: you know, so there was some activity and he wasn't 688 00:34:24,520 --> 00:34:27,520 Speaker 1: really looking to eat. He came out, worked a couple 689 00:34:27,520 --> 00:34:29,719 Speaker 1: of scrapes, made one loop through the field, and then 690 00:34:29,760 --> 00:34:32,920 Speaker 1: went right back into the timber again. So you know, 691 00:34:32,960 --> 00:34:34,759 Speaker 1: like I said, there's always going to be exceptions. But 692 00:34:34,840 --> 00:34:36,640 Speaker 1: all the other bucks that we saw last night, which 693 00:34:36,840 --> 00:34:39,399 Speaker 1: weren't a large number, were pretty pretty small number of bucks. 694 00:34:39,440 --> 00:34:41,839 Speaker 1: They were all feeding. They weren't looking at the does 695 00:34:41,880 --> 00:34:44,799 Speaker 1: at all, So that's I would say, that's sort of 696 00:34:44,800 --> 00:34:47,000 Speaker 1: what you you get, You get the odd one that 697 00:34:47,160 --> 00:34:49,399 Speaker 1: still acts like it's the rots, and then the rest 698 00:34:49,400 --> 00:34:52,480 Speaker 1: of them are most interested in food. So with that 699 00:34:52,560 --> 00:34:56,200 Speaker 1: in mind, you know, I'm almost focused on food sources now. 700 00:34:56,880 --> 00:34:58,439 Speaker 1: I think you can probably get by with a little 701 00:34:58,440 --> 00:35:00,759 Speaker 1: bit of morning hunting. Yet, if you if you're a 702 00:35:00,760 --> 00:35:02,560 Speaker 1: hardcore and you don't have anything else that you have 703 00:35:02,640 --> 00:35:05,520 Speaker 1: to do, you know, you don't have any other obligations 704 00:35:05,560 --> 00:35:06,880 Speaker 1: that are going to keep you out of the field, 705 00:35:07,080 --> 00:35:09,600 Speaker 1: then there's no reason not to hunt mornings. If you're 706 00:35:09,600 --> 00:35:11,200 Speaker 1: gonna do that, you might as well poke around those 707 00:35:11,239 --> 00:35:13,880 Speaker 1: do betting areas for a little bit longer, because you 708 00:35:13,920 --> 00:35:15,840 Speaker 1: still get the odd buck. You know that it still 709 00:35:15,880 --> 00:35:18,719 Speaker 1: does think it's the rut, But you know, like I said, 710 00:35:18,719 --> 00:35:21,600 Speaker 1: it's it's really starting to slow down fast. And the 711 00:35:21,920 --> 00:35:23,920 Speaker 1: best show in town right now is going to be 712 00:35:24,280 --> 00:35:27,520 Speaker 1: sitting on the food. Well, you just talked about scrapes 713 00:35:27,520 --> 00:35:29,399 Speaker 1: there a little bit, And do you think that there's 714 00:35:29,440 --> 00:35:32,719 Speaker 1: any useful information you can get from deer sign right now, 715 00:35:32,800 --> 00:35:34,839 Speaker 1: like scrapes and rubs, and do you think you'll find 716 00:35:34,880 --> 00:35:38,400 Speaker 1: a lot of deer still hitting those? I don't know. 717 00:35:38,440 --> 00:35:42,080 Speaker 1: I'm not really a big sign guy. Um. I used 718 00:35:42,080 --> 00:35:46,040 Speaker 1: to try that when I was early in my hunting education. 719 00:35:46,080 --> 00:35:47,920 Speaker 1: I tried to make sense out of all that stuff, 720 00:35:47,960 --> 00:35:49,880 Speaker 1: and I just got more and more confused, and it 721 00:35:50,040 --> 00:35:52,920 Speaker 1: led me down the wrong roads. So I don't really 722 00:35:52,920 --> 00:35:56,560 Speaker 1: pay much attention to it. To be honest with you, UM, 723 00:35:56,600 --> 00:36:00,560 Speaker 1: I don't know what I would gain from signed at 724 00:36:00,600 --> 00:36:03,600 Speaker 1: this point. The only sign I think that's really relevant 725 00:36:04,200 --> 00:36:07,840 Speaker 1: is stuff that you can identify. Um, the one that 726 00:36:07,880 --> 00:36:10,480 Speaker 1: made the sign. I mean, everybody thinks, oh, there's a 727 00:36:10,480 --> 00:36:12,279 Speaker 1: big rub, it had to be made by a big buck. 728 00:36:13,120 --> 00:36:14,759 Speaker 1: I've just seen way too many year and a half 729 00:36:14,760 --> 00:36:18,680 Speaker 1: whole bucks polishing up big trees. Um, you don't have 730 00:36:18,800 --> 00:36:20,799 Speaker 1: to have a big buck to make a big rub. 731 00:36:21,520 --> 00:36:24,400 Speaker 1: We've got telephone poles out here that are you know, 732 00:36:24,600 --> 00:36:29,799 Speaker 1: probably an inch or or more, you know, in in circumference, 733 00:36:29,840 --> 00:36:32,439 Speaker 1: smaller in the areas where the deer rubbing on, theyven 734 00:36:32,480 --> 00:36:35,520 Speaker 1: rubbin on that hard and uh, you know, you see 735 00:36:35,520 --> 00:36:38,520 Speaker 1: everything you know on the planet that's rubbing on those things. 736 00:36:38,520 --> 00:36:40,839 Speaker 1: And it's not just you know, some some kind of 737 00:36:41,400 --> 00:36:44,600 Speaker 1: gigantic buck that would take on a telephone pole. What 738 00:36:44,680 --> 00:36:46,799 Speaker 1: about going forward in this next week or so, what 739 00:36:46,880 --> 00:36:49,080 Speaker 1: do you think the buck activity will be then on 740 00:36:49,120 --> 00:36:51,799 Speaker 1: a scale of one to ten, I think it's gonna 741 00:36:51,800 --> 00:36:55,040 Speaker 1: start ramping back up again unless you've got hunting pressure. 742 00:36:56,040 --> 00:36:57,520 Speaker 1: But it's gonna be on the food, and it's gonna 743 00:36:57,560 --> 00:37:00,879 Speaker 1: be on feeding patterns. And you had this period when 744 00:37:00,880 --> 00:37:04,120 Speaker 1: the rutt lays down, when the bucks are their their 745 00:37:04,200 --> 00:37:06,640 Speaker 1: war out. They might be beat up, they might be 746 00:37:06,680 --> 00:37:08,440 Speaker 1: even wounded and injured, you know, where they need to 747 00:37:08,480 --> 00:37:11,160 Speaker 1: just lay down for for a week or so and 748 00:37:11,360 --> 00:37:13,720 Speaker 1: and lick their wounds, and then they get back into 749 00:37:13,719 --> 00:37:16,520 Speaker 1: the serious business of trying to you know, put the 750 00:37:17,120 --> 00:37:19,080 Speaker 1: fat back on again or you know, put the weight 751 00:37:19,080 --> 00:37:20,719 Speaker 1: back on again. That they lost her in the rut. 752 00:37:21,400 --> 00:37:24,759 Speaker 1: So I would say that really starts going pretty pretty hard, 753 00:37:25,040 --> 00:37:27,920 Speaker 1: you know, around the first of December or so. Uh, 754 00:37:28,120 --> 00:37:31,000 Speaker 1: you really see that that called the flight to food, 755 00:37:31,160 --> 00:37:34,680 Speaker 1: you know, where those bucks are really focused on eating. Um. So, 756 00:37:35,160 --> 00:37:36,680 Speaker 1: as long as it's a little bit cold and the 757 00:37:36,719 --> 00:37:38,759 Speaker 1: deer have been hunted real hard, you know, so that 758 00:37:38,760 --> 00:37:42,080 Speaker 1: they're only nocturnal, you should actually see an improvement in 759 00:37:42,120 --> 00:37:45,520 Speaker 1: the number of bucks, but they'll be on primarily feeding patterns. 760 00:37:46,400 --> 00:37:48,279 Speaker 1: All right, Bill, Well, good luck with the rest of 761 00:37:48,280 --> 00:37:50,719 Speaker 1: your season getting some dose down and if you guys 762 00:37:50,760 --> 00:37:53,759 Speaker 1: haven't seen it yet, go to Midwest whitetail dot com 763 00:37:53,800 --> 00:37:56,239 Speaker 1: to see the two awesome deer that Bill harvested this year. 764 00:37:56,239 --> 00:37:59,360 Speaker 1: And thanks for your time, Bill, I appreciate it. Thank you, Spencer. 765 00:38:00,880 --> 00:38:04,680 Speaker 1: And that concludes the final episode of Wired Haunt's Rut Radio. 766 00:38:05,520 --> 00:38:07,600 Speaker 1: Make sure you subscribe to the podcast and leave us 767 00:38:07,600 --> 00:38:11,320 Speaker 1: a review on iTunes and follow Wired Haunt on Facebook, Twitter, 768 00:38:11,440 --> 00:38:14,719 Speaker 1: and Instagram and follow me on Twitter and Instagram at 769 00:38:14,760 --> 00:38:18,160 Speaker 1: Spencer new Heart. Thank so much to everybody who provided 770 00:38:18,200 --> 00:38:21,239 Speaker 1: reports this season and everybody who listened to the podcast. 771 00:38:21,400 --> 00:38:22,880 Speaker 1: This will not have been possible without you.