1 00:00:00,480 --> 00:00:04,160 Speaker 1: Welcome to Wired Hunt's Rout Fresh Radio. I am spent 2 00:00:04,240 --> 00:00:07,840 Speaker 1: a new war and joining me is Mark Kenyon. Mark, 3 00:00:08,640 --> 00:00:11,920 Speaker 1: you are now back home in Michigan, but you are 4 00:00:12,000 --> 00:00:14,240 Speaker 1: fresh off a trip. How did that trip go? And 5 00:00:14,360 --> 00:00:18,160 Speaker 1: give me a rundown of the Dear activity that you saw. Yeah, yeah, 6 00:00:18,280 --> 00:00:21,760 Speaker 1: so fresh off of public land hunt out in Idaho 7 00:00:21,960 --> 00:00:25,799 Speaker 1: chasing white tails out there. Uh, you know, I will 8 00:00:26,160 --> 00:00:28,720 Speaker 1: save I'm not gonna tell you whether I killed or 9 00:00:28,760 --> 00:00:31,680 Speaker 1: not because the main episode I think next week will 10 00:00:31,680 --> 00:00:33,680 Speaker 1: be all about that, So I'll leave a little bit 11 00:00:33,720 --> 00:00:37,120 Speaker 1: of drama out there for people, but I will tell 12 00:00:37,159 --> 00:00:39,520 Speaker 1: you that it was a good hunt. We had quite 13 00:00:39,560 --> 00:00:44,000 Speaker 1: a bit of activity despite a lot of hunting pressure. Um, 14 00:00:44,159 --> 00:00:46,559 Speaker 1: we're we're in Dear every night, just about every night, 15 00:00:46,720 --> 00:00:49,920 Speaker 1: so um, it was interesting, a lot of interesting stories 16 00:00:49,960 --> 00:00:52,760 Speaker 1: to share there. And uh, you know, I guess the 17 00:00:52,760 --> 00:00:56,080 Speaker 1: theme of these episodes right is recapping what we saw 18 00:00:56,080 --> 00:00:59,160 Speaker 1: and what we're expecting. So I can tell you that 19 00:00:59,440 --> 00:01:03,000 Speaker 1: I was hunt that first week of September, and the 20 00:01:03,040 --> 00:01:08,200 Speaker 1: biggest thing I noticed, Spencer was time of movement. Um, 21 00:01:08,240 --> 00:01:12,199 Speaker 1: we had temperatures, you know, in the evenings ranging from 22 00:01:12,240 --> 00:01:16,679 Speaker 1: like mid seventies to mid eighties, and even in spots 23 00:01:16,720 --> 00:01:20,640 Speaker 1: where I actually thought we could get away from hunting pressure, 24 00:01:20,800 --> 00:01:22,800 Speaker 1: and when it was cooling down in the evenings and 25 00:01:22,880 --> 00:01:25,280 Speaker 1: shady way back in the cover, I was thinking, Mann, 26 00:01:26,200 --> 00:01:29,160 Speaker 1: I bet you two hours before dayly, but they'll be 27 00:01:29,200 --> 00:01:31,520 Speaker 1: moving here. I mean, we were tight in the betting 28 00:01:31,520 --> 00:01:36,839 Speaker 1: are kind of stuff. And even then our movement super early, Um, 29 00:01:36,880 --> 00:01:40,199 Speaker 1: it was almost to a t, you know, the last 30 00:01:40,480 --> 00:01:44,760 Speaker 1: fifteen minutes, last twenty minutes. Maybe I think there was 31 00:01:44,880 --> 00:01:48,000 Speaker 1: one night that I saw stuff, you know, forty five 32 00:01:48,040 --> 00:01:50,560 Speaker 1: minutes before dark, but but really it was an absolute 33 00:01:50,680 --> 00:01:53,440 Speaker 1: last hour, last half hour of daylight kind of thing, 34 00:01:53,640 --> 00:01:57,560 Speaker 1: zero movement until the very end of the day. Um. 35 00:01:57,640 --> 00:02:00,559 Speaker 1: And so that was something that was noticeable. And then 36 00:02:00,600 --> 00:02:03,840 Speaker 1: I did hunt some mornings, and those mornings it was 37 00:02:03,920 --> 00:02:07,160 Speaker 1: kind of the opposite. It was. It was morning activity 38 00:02:07,240 --> 00:02:09,200 Speaker 1: for that first hour hour and a half. Maybe it 39 00:02:09,240 --> 00:02:10,839 Speaker 1: was a little bit later in the mornings we saw 40 00:02:10,960 --> 00:02:13,519 Speaker 1: some movement, but again I was hunting really far away 41 00:02:13,520 --> 00:02:15,880 Speaker 1: from the food sources, way back in the cover, so 42 00:02:16,320 --> 00:02:18,440 Speaker 1: it took a while for those deer to get back 43 00:02:18,480 --> 00:02:21,520 Speaker 1: to me. UM. So as far as activity, that's that's 44 00:02:21,520 --> 00:02:24,440 Speaker 1: what I was seeing there in Idaho temperatures, like I said, 45 00:02:24,440 --> 00:02:26,400 Speaker 1: where we're right around average for this time of year. 46 00:02:26,440 --> 00:02:27,919 Speaker 1: So there was no big fronts, you know, like we 47 00:02:27,960 --> 00:02:29,360 Speaker 1: talked about last week. It was a kind of a 48 00:02:29,480 --> 00:02:32,919 Speaker 1: standard week of weather across the lot of the country, 49 00:02:32,960 --> 00:02:35,640 Speaker 1: and that's what experienced. It was. It was no big fronts, 50 00:02:35,680 --> 00:02:39,440 Speaker 1: it was no big precipitation precipitation events, just kind of 51 00:02:39,440 --> 00:02:42,919 Speaker 1: average temperatures and I would say average activity. We saw 52 00:02:42,960 --> 00:02:44,640 Speaker 1: a deer every night. There was never a time when 53 00:02:44,680 --> 00:02:46,080 Speaker 1: I was like, oh my gosh, that's the best night 54 00:02:46,120 --> 00:02:48,280 Speaker 1: I've ever seen. At the same point, there was never 55 00:02:48,400 --> 00:02:51,239 Speaker 1: days where we were wondering, why are there no deer here? 56 00:02:51,639 --> 00:02:53,959 Speaker 1: It was kind of what you expect in early September, 57 00:02:54,040 --> 00:02:57,480 Speaker 1: moving on food sources, um. And then mostly it was 58 00:02:57,600 --> 00:03:00,720 Speaker 1: it was trying to just backtrack. These are closer and 59 00:03:00,760 --> 00:03:03,520 Speaker 1: closer to their betting years because of because of hunting pressure. 60 00:03:03,600 --> 00:03:06,839 Speaker 1: So that was that was my high level overview. Without 61 00:03:06,840 --> 00:03:09,000 Speaker 1: giving away too many details, I'd say activity was in 62 00:03:09,120 --> 00:03:13,040 Speaker 1: that like five five kind of range. Um. I guess 63 00:03:13,080 --> 00:03:15,520 Speaker 1: that's kind of like what I predicted last week, right, Yeah, 64 00:03:15,639 --> 00:03:18,799 Speaker 1: I think so, um, And and I wish you would 65 00:03:18,840 --> 00:03:20,400 Speaker 1: give me more details. On the hunt. But I'm gonna 66 00:03:20,440 --> 00:03:23,120 Speaker 1: let you off the hook this week, Mark, Um, because 67 00:03:23,120 --> 00:03:25,480 Speaker 1: we have a really exciting episode and we have multiple 68 00:03:26,000 --> 00:03:29,400 Speaker 1: We have multiple firsts on this episode of rout Fresh. 69 00:03:29,560 --> 00:03:33,120 Speaker 1: Are you ready? What do you mean? My first cameras here? Okay? 70 00:03:33,320 --> 00:03:35,560 Speaker 1: The first first that we have is we have our 71 00:03:35,600 --> 00:03:39,800 Speaker 1: first ever rout report from Canada, which comes to us 72 00:03:40,240 --> 00:03:44,680 Speaker 1: from Clay Newcombe. The other first that we have is, 73 00:03:44,720 --> 00:03:47,520 Speaker 1: for the first time ever in rout Fresh history, all 74 00:03:47,560 --> 00:03:50,040 Speaker 1: four of the people that we interview this week were 75 00:03:50,080 --> 00:03:55,040 Speaker 1: successful in their hunts. So that's why, um, I think 76 00:03:55,160 --> 00:03:57,000 Speaker 1: the meat of this episode is going to be as 77 00:03:57,040 --> 00:03:59,480 Speaker 1: good as name we've had because we have four successful 78 00:03:59,520 --> 00:04:01,920 Speaker 1: deer hunters. Is on nice. So what you're saying is 79 00:04:01,960 --> 00:04:03,880 Speaker 1: that we shouldn't ramble on too long. We should just 80 00:04:03,920 --> 00:04:07,480 Speaker 1: get into the real, fresh, exciting reports. That's right, I 81 00:04:07,520 --> 00:04:08,920 Speaker 1: think so. And who are you going to hear from 82 00:04:08,960 --> 00:04:11,520 Speaker 1: this week? Is Clay Nucome like we just talked about that, 83 00:04:11,560 --> 00:04:14,080 Speaker 1: you know, from the Mediator podcast and Very Grease podcast 84 00:04:14,160 --> 00:04:17,640 Speaker 1: in Manitoba. And then Dylan Tramp from South Dakota, whose 85 00:04:17,800 --> 00:04:21,040 Speaker 1: content you can read on Wired Haunt's website. And then 86 00:04:21,080 --> 00:04:24,400 Speaker 1: Mark Haslem from Southeast Whitetail dot Com in South Carolina 87 00:04:24,520 --> 00:04:26,880 Speaker 1: and then we end in Nebraska with Tyler Jones from 88 00:04:26,920 --> 00:04:30,800 Speaker 1: The element Alright, cool, well, I'm excited to hear these. 89 00:04:30,960 --> 00:04:34,080 Speaker 1: I I have one more question and then I'll stop badgering. Okay, 90 00:04:34,440 --> 00:04:38,039 Speaker 1: when when is your first white tail hunt? Are you 91 00:04:38,040 --> 00:04:40,359 Speaker 1: going anywhere? September? You gonnahit South Dakota here soon? Or 92 00:04:40,400 --> 00:04:43,160 Speaker 1: what's what's going on? My season is gonna be a 93 00:04:43,200 --> 00:04:47,400 Speaker 1: little bit delayed. Um. I'm gonna do my best, which 94 00:04:47,600 --> 00:04:50,040 Speaker 1: is not very good at killing elk here in September, 95 00:04:50,080 --> 00:04:52,920 Speaker 1: and then I have in animal punt in October, and 96 00:04:52,960 --> 00:04:56,800 Speaker 1: then I I'm stacking like four hunts in like a 97 00:04:56,880 --> 00:05:01,120 Speaker 1: six week period between the beginning of November, um and 98 00:05:01,240 --> 00:05:05,480 Speaker 1: the beginning of December. So my reports are going to 99 00:05:05,520 --> 00:05:09,080 Speaker 1: be a bit delayed this year. All right, man, Well, 100 00:05:09,440 --> 00:05:11,640 Speaker 1: you get after those elk, get that off your minds, 101 00:05:13,200 --> 00:05:16,440 Speaker 1: kill the antelope, check that box, and then get back 102 00:05:16,440 --> 00:05:19,480 Speaker 1: to the white tech. That's right. Uh. And then some 103 00:05:19,520 --> 00:05:23,440 Speaker 1: reading materials this week, um, if if you want more 104 00:05:23,600 --> 00:05:25,919 Speaker 1: than just what you're gonna get on this episode, we 105 00:05:25,960 --> 00:05:27,919 Speaker 1: have a couple of articles for hunters that are in 106 00:05:27,960 --> 00:05:30,880 Speaker 1: the woods, right now where to find bucks after they 107 00:05:30,920 --> 00:05:34,320 Speaker 1: shed Velvet from Dylan Tramp and then how volume hunting 108 00:05:34,360 --> 00:05:36,840 Speaker 1: could save your season from Andy May. And then if 109 00:05:36,880 --> 00:05:39,600 Speaker 1: you don't have an opener anytime, seem and say you're 110 00:05:39,600 --> 00:05:43,200 Speaker 1: in a state like Michigan or Illinois and you're still 111 00:05:43,200 --> 00:05:45,440 Speaker 1: about a month out from being in the woods, some 112 00:05:45,560 --> 00:05:49,360 Speaker 1: offseason content be from Tony Hanson four tools every bow 113 00:05:49,440 --> 00:05:52,159 Speaker 1: Hunter shadown, and then the best way to get bucks 114 00:05:52,200 --> 00:05:54,960 Speaker 1: on trail cam without bait, an article that you wrote 115 00:05:55,000 --> 00:05:57,279 Speaker 1: last year, Mark Kennan. You can find those articles just 116 00:05:57,320 --> 00:06:00,479 Speaker 1: like last week in the description of the episode. A 117 00:06:00,520 --> 00:06:03,120 Speaker 1: click over there, and you're gonna get more relevant stuff 118 00:06:03,200 --> 00:06:06,160 Speaker 1: for this time of year. Beautiful. I gotta tell you, Spencer, 119 00:06:06,160 --> 00:06:08,520 Speaker 1: I read that article by Tony Hanson about the four 120 00:06:08,560 --> 00:06:11,279 Speaker 1: tools every bow hunter should owned, and I felt really 121 00:06:11,279 --> 00:06:14,880 Speaker 1: bad because I only owned one out of the four. Yeah, 122 00:06:16,480 --> 00:06:18,920 Speaker 1: I'm sure I can guess which one it was. You 123 00:06:19,000 --> 00:06:23,000 Speaker 1: own a set of valen Ranches. Yes, okay, all right, 124 00:06:23,040 --> 00:06:25,680 Speaker 1: we'll skip on over to that article if you want 125 00:06:25,720 --> 00:06:27,680 Speaker 1: to find out the three things that Mark doesn't own 126 00:06:27,720 --> 00:06:31,800 Speaker 1: in the four things that you should own. Alright, Spencer, 127 00:06:31,800 --> 00:06:33,560 Speaker 1: it sounds like a good plan. We'll talk to you 128 00:06:33,560 --> 00:06:39,120 Speaker 1: next week. Man looking forward to alright and joining us 129 00:06:39,160 --> 00:06:41,120 Speaker 1: on the line. First, it's Clay Nucom, who you know 130 00:06:41,240 --> 00:06:44,000 Speaker 1: from Meat Eater and the Bear Grease podcast. Who was 131 00:06:44,080 --> 00:06:47,000 Speaker 1: hunting in Manitoba. Now, Clay in Manitoba, what would you 132 00:06:47,040 --> 00:06:49,239 Speaker 1: say the buck activity has been lately on a scale 133 00:06:49,279 --> 00:06:53,479 Speaker 1: of one to ten. So I've been in Manitoba for 134 00:06:53,520 --> 00:06:57,680 Speaker 1: the last six days and I would rank it as 135 00:06:57,720 --> 00:07:04,720 Speaker 1: a seven. We had no trouble seeing mature deer every day, 136 00:07:05,160 --> 00:07:09,560 Speaker 1: but we were at an advantage in Manitoba where we're 137 00:07:09,600 --> 00:07:11,840 Speaker 1: at in that you can see a long distance. You 138 00:07:11,840 --> 00:07:14,160 Speaker 1: can see a long ways because we're hunting out falfa 139 00:07:14,240 --> 00:07:18,280 Speaker 1: fields and oat fields and wheat fields, and so you know, 140 00:07:18,400 --> 00:07:20,640 Speaker 1: you see deer from a long ways off. So the 141 00:07:20,720 --> 00:07:25,080 Speaker 1: deer we're moving, but the bigger deer typically we're not 142 00:07:25,200 --> 00:07:29,480 Speaker 1: moving until the last thirty minutes of daylight on either 143 00:07:29,560 --> 00:07:33,880 Speaker 1: side in the morning and in the evening. So you 144 00:07:33,920 --> 00:07:36,880 Speaker 1: know we saw there, but they certainly were not moving 145 00:07:37,680 --> 00:07:40,040 Speaker 1: all day. It was just kind of your typical early 146 00:07:40,120 --> 00:07:43,880 Speaker 1: season feeding patterns. And you killed the buck a couple 147 00:07:43,880 --> 00:07:45,640 Speaker 1: of days ago. Tell us about that set up. Why 148 00:07:45,720 --> 00:07:47,960 Speaker 1: the deer we're traveling through that area, and why you 149 00:07:48,000 --> 00:07:52,160 Speaker 1: were on that spot. There's a seventy acre patch of 150 00:07:52,200 --> 00:07:56,440 Speaker 1: actri culture that typically is all in our falfa. This 151 00:07:56,560 --> 00:08:00,200 Speaker 1: year about sixty acres of it was in oats and 152 00:08:00,320 --> 00:08:04,239 Speaker 1: ten acres was in alfalfa, and they eat the oats, 153 00:08:04,760 --> 00:08:07,920 Speaker 1: which it's not They weren't eating the grass from the 154 00:08:08,240 --> 00:08:09,920 Speaker 1: you know, like the green part of the oats. These 155 00:08:09,960 --> 00:08:12,040 Speaker 1: were dry oats that were about to be harvested, and 156 00:08:12,040 --> 00:08:14,680 Speaker 1: they're actually eating the seed heads of these oats, but 157 00:08:15,160 --> 00:08:19,160 Speaker 1: they preferred the alfalfa. So there was only ten acres 158 00:08:19,160 --> 00:08:21,480 Speaker 1: of alfalfa, and it was kind of tucked back in 159 00:08:21,560 --> 00:08:24,960 Speaker 1: this little pocket. And in the morning time we couldn't 160 00:08:25,000 --> 00:08:28,920 Speaker 1: get on the alfalfa because we spooked deer. But they 161 00:08:29,080 --> 00:08:33,560 Speaker 1: had a peculiar exit route where these deer were traveling 162 00:08:33,600 --> 00:08:37,600 Speaker 1: about a half mile through open country and coming right 163 00:08:38,160 --> 00:08:41,440 Speaker 1: past a little neck of woods and it was an 164 00:08:41,440 --> 00:08:45,880 Speaker 1: obscure place, but just historical patterns, we just knew the 165 00:08:45,880 --> 00:08:48,200 Speaker 1: deer cross there and it's really easy to get in. 166 00:08:48,240 --> 00:08:50,080 Speaker 1: You don't bump any there, you come up in a tree, 167 00:08:50,120 --> 00:08:52,240 Speaker 1: you think, what the heck am I doing here? And 168 00:08:52,240 --> 00:08:54,520 Speaker 1: then as soon as it gets daylight, you you see 169 00:08:54,640 --> 00:08:58,080 Speaker 1: deer coming towards you. Typically, you know, some percentage of 170 00:08:58,120 --> 00:09:00,800 Speaker 1: the time that's the exit route they used some percentage 171 00:09:00,840 --> 00:09:03,800 Speaker 1: of the time. You don't see deer at all from there. 172 00:09:03,840 --> 00:09:07,520 Speaker 1: But um, the two mornings we hunted it, we had 173 00:09:07,559 --> 00:09:12,480 Speaker 1: bucks and bow range just after legal light. And basically 174 00:09:12,559 --> 00:09:14,400 Speaker 1: the second time we hunted in there, I had a 175 00:09:14,440 --> 00:09:17,920 Speaker 1: deer come by that that I watched for several hundred 176 00:09:17,960 --> 00:09:20,320 Speaker 1: yards and he came right into bow range coming off 177 00:09:20,360 --> 00:09:23,680 Speaker 1: of alf Alpha. Now, how did your morning setups differ 178 00:09:23,720 --> 00:09:28,199 Speaker 1: from your evening setups? Very different in that where where 179 00:09:28,200 --> 00:09:31,160 Speaker 1: we were hunting, we could not get on the food 180 00:09:31,200 --> 00:09:34,240 Speaker 1: in the morning without bumping deer, and so in in 181 00:09:34,280 --> 00:09:36,480 Speaker 1: the evening time we were right on the food. We 182 00:09:36,480 --> 00:09:39,800 Speaker 1: were basically playing the wind is to imagine a rectangular 183 00:09:39,960 --> 00:09:47,040 Speaker 1: field ten acres, and the deer were where they came 184 00:09:47,040 --> 00:09:50,000 Speaker 1: into the field was a gamble. It could be many 185 00:09:50,040 --> 00:09:53,160 Speaker 1: different places, but we would hunt the most favorable side. 186 00:09:53,200 --> 00:09:56,800 Speaker 1: We were using tree sticks and saddles, and then we 187 00:09:56,920 --> 00:10:00,640 Speaker 1: actually eventually we're setting in a box stand that was 188 00:10:00,679 --> 00:10:03,880 Speaker 1: on the property set up for rifle hunting. Because we 189 00:10:03,920 --> 00:10:07,079 Speaker 1: watched deer feed within bow range of it all one evening, 190 00:10:07,760 --> 00:10:11,839 Speaker 1: so we were flipping from end to end um hunting 191 00:10:11,880 --> 00:10:16,360 Speaker 1: this field. And uh, we never that strategy never came 192 00:10:16,400 --> 00:10:18,280 Speaker 1: to fruition because as we ended up killing one in 193 00:10:18,280 --> 00:10:21,040 Speaker 1: the morning off the field as they were going back 194 00:10:21,080 --> 00:10:24,280 Speaker 1: to bedding from the food source. But so we were 195 00:10:24,320 --> 00:10:27,800 Speaker 1: on the food in the evening and then hunting travel 196 00:10:27,840 --> 00:10:31,080 Speaker 1: corridors going back into bedding in the mornings. The buck 197 00:10:31,160 --> 00:10:33,959 Speaker 1: that you killed was hard horned, but one percentage of 198 00:10:34,000 --> 00:10:36,040 Speaker 1: the rest of the white tillers you were seeing, we're 199 00:10:36,040 --> 00:10:39,720 Speaker 1: still in velvet. I would say we're in velvet on 200 00:10:39,800 --> 00:10:42,680 Speaker 1: September one. That was the first day of our hunt, 201 00:10:43,480 --> 00:10:49,120 Speaker 1: was September one, and yeah, eight of ten bucks would 202 00:10:49,120 --> 00:10:52,200 Speaker 1: have had velvet. And it seemed to be like the 203 00:10:52,320 --> 00:10:55,920 Speaker 1: more mature deer were the ones that were that had 204 00:10:56,000 --> 00:11:00,400 Speaker 1: shed and we're hard horned. I would you know, we 205 00:11:00,480 --> 00:11:03,079 Speaker 1: quit hunting after we killed the deer, so we were 206 00:11:03,120 --> 00:11:08,240 Speaker 1: done hunting by September three. But I would suspect by 207 00:11:08,400 --> 00:11:12,480 Speaker 1: next week it'll probably be opposite of that. I would 208 00:11:12,480 --> 00:11:18,600 Speaker 1: imagine eight percent will be hard twenty we'll still be 209 00:11:18,640 --> 00:11:21,640 Speaker 1: in velvet. It sounds like a lot of the activity 210 00:11:21,679 --> 00:11:25,000 Speaker 1: that you were seeing, we're bachelor groups traveling together. Did 211 00:11:25,000 --> 00:11:26,960 Speaker 1: that change it all? During your six days there, did 212 00:11:27,000 --> 00:11:29,000 Speaker 1: you see those bachelor groups break up at all? Or 213 00:11:29,040 --> 00:11:31,240 Speaker 1: were they still together the same way the first day 214 00:11:31,240 --> 00:11:34,320 Speaker 1: is it was the last Okay, I saw no change 215 00:11:34,320 --> 00:11:36,719 Speaker 1: in the way they operated. But it was surprising to 216 00:11:36,760 --> 00:11:41,280 Speaker 1: you because there were there were bachelor groups of younger 217 00:11:41,360 --> 00:11:44,960 Speaker 1: deer that stuck together pretty tight. But the big deer, 218 00:11:45,640 --> 00:11:49,520 Speaker 1: he was all on his own like he One day 219 00:11:49,600 --> 00:11:52,439 Speaker 1: we watched him walk a half mile across an open 220 00:11:52,480 --> 00:11:56,520 Speaker 1: field by himself to come into the alfalfa to meet 221 00:11:56,640 --> 00:12:00,600 Speaker 1: a younger bachelor group of deer. Um we also would 222 00:12:00,600 --> 00:12:04,480 Speaker 1: see the odd just young two year old buck off 223 00:12:04,559 --> 00:12:08,320 Speaker 1: by himself that would come into the alfalfa. So it's 224 00:12:08,440 --> 00:12:11,840 Speaker 1: kind of like they congregated all night together and then 225 00:12:11,880 --> 00:12:15,000 Speaker 1: four or five or six my bed together. But the 226 00:12:15,080 --> 00:12:18,599 Speaker 1: odd one would just spike out by himself and and 227 00:12:18,600 --> 00:12:21,640 Speaker 1: and not be with that group for the majority of 228 00:12:21,679 --> 00:12:23,720 Speaker 1: the day. So they were kind of broke up more 229 00:12:23,760 --> 00:12:27,319 Speaker 1: than I anticipated they would be going forward. Then in 230 00:12:27,360 --> 00:12:28,920 Speaker 1: the six week or so, what do you think that 231 00:12:28,960 --> 00:12:30,920 Speaker 1: Bucket TV is going to be on a skill of 232 00:12:30,920 --> 00:12:34,040 Speaker 1: one to ten in Manitoba? I think it'll I think 233 00:12:34,080 --> 00:12:38,880 Speaker 1: it'll maintain in that seven range of what I said. 234 00:12:38,920 --> 00:12:42,360 Speaker 1: It's just gonna keep getting cooler. That there are crops 235 00:12:42,440 --> 00:12:46,720 Speaker 1: being harvested right now that is affecting deer movement. But 236 00:12:47,480 --> 00:12:51,559 Speaker 1: the green, the green stuff is gonna be good. Um, 237 00:12:51,840 --> 00:12:54,560 Speaker 1: probably even more after the frost with the with the 238 00:12:54,600 --> 00:13:00,000 Speaker 1: green stuff that's cold tolerant like wheat mouth alpha. Um. 239 00:13:00,000 --> 00:13:02,319 Speaker 1: But uh, I think it's gonna be I think it's 240 00:13:02,320 --> 00:13:05,920 Speaker 1: gonna continue to be really good, especially in the next 241 00:13:05,920 --> 00:13:09,720 Speaker 1: week before the bachelor groups really break up. I think 242 00:13:10,360 --> 00:13:17,800 Speaker 1: after about septem through about October fifteenth, October up there, 243 00:13:18,600 --> 00:13:20,920 Speaker 1: it gets a little bit harder, but right now they're 244 00:13:20,960 --> 00:13:24,199 Speaker 1: just really predictable on these kind of late summer patterns, 245 00:13:24,240 --> 00:13:26,760 Speaker 1: you know, So I next week would be a fantastic 246 00:13:26,800 --> 00:13:29,240 Speaker 1: week up there, I think. Alright, Clay, congrats on the 247 00:13:29,320 --> 00:13:31,319 Speaker 1: successful hunt. Thanks for joining me in. Good luck with 248 00:13:31,360 --> 00:13:36,880 Speaker 1: the rest of your fall. Thanks Spencer, appreciate it alright 249 00:13:36,880 --> 00:13:39,320 Speaker 1: and joining us on the line. Next is Dylan Tramp 250 00:13:39,360 --> 00:13:42,160 Speaker 1: whose articles you can read on why You're hunt, Who's 251 00:13:42,200 --> 00:13:45,000 Speaker 1: hunting in South Dakota? Now, Dylan in South Dakota, what 252 00:13:45,040 --> 00:13:47,160 Speaker 1: would you say the buck activity is ben lately. On 253 00:13:47,200 --> 00:13:50,320 Speaker 1: a scale of one to ten, scale of one to ten, 254 00:13:50,360 --> 00:13:52,280 Speaker 1: I think I think we're still hanging on to about 255 00:13:52,320 --> 00:13:55,280 Speaker 1: an eight. The bucks are kind of the bucks that 256 00:13:55,320 --> 00:13:58,000 Speaker 1: are unpressured, I should say, are kind of sticking to 257 00:13:58,040 --> 00:14:00,760 Speaker 1: their summer feeding patterns and are definitely still moving that 258 00:14:00,840 --> 00:14:02,840 Speaker 1: last hour of light. So I think we're a solid 259 00:14:02,840 --> 00:14:07,880 Speaker 1: eight still. Now, back on August, you wrote an article 260 00:14:07,960 --> 00:14:09,800 Speaker 1: for Wire to Haunt that was about how to kill 261 00:14:09,800 --> 00:14:12,880 Speaker 1: a white tail buck on opening day. You did not 262 00:14:13,080 --> 00:14:15,199 Speaker 1: kill a buck on opening day this year, but you 263 00:14:15,280 --> 00:14:16,960 Speaker 1: killed a buck on the second day of the season. 264 00:14:17,000 --> 00:14:20,080 Speaker 1: Tell us about that haunt and how that went down. Um, well, yeah, 265 00:14:20,360 --> 00:14:23,200 Speaker 1: just a little bit of summer scouting. Went in new play, 266 00:14:23,280 --> 00:14:28,280 Speaker 1: but knew his general area and had a really good idea. 267 00:14:28,440 --> 00:14:31,520 Speaker 1: Didn't have confirmation on his betting, but I knew within 268 00:14:31,560 --> 00:14:34,520 Speaker 1: a hunter yard radius roughly where his betting would be, 269 00:14:35,160 --> 00:14:37,320 Speaker 1: so I slipped in between the betting and his food source. 270 00:14:37,480 --> 00:14:41,840 Speaker 1: On day one season evening hunt and I had an encounter, 271 00:14:42,040 --> 00:14:44,440 Speaker 1: but the wind got a little swirly, set up pleasant 272 00:14:44,480 --> 00:14:48,480 Speaker 1: perfect and he busted me, but returned two hours later, 273 00:14:48,520 --> 00:14:52,000 Speaker 1: so he wasn't overly spooped. So I just I knew 274 00:14:52,000 --> 00:14:53,480 Speaker 1: where he was going to end up the next day, 275 00:14:53,520 --> 00:14:56,600 Speaker 1: hopefully and then that he wouldn't shift his pattern too dramatically. 276 00:14:57,720 --> 00:15:03,720 Speaker 1: And about fifteen minutes prior to dark he shows up 277 00:15:03,880 --> 00:15:07,240 Speaker 1: right on script and stuck in arrow in him. Now, 278 00:15:07,280 --> 00:15:09,720 Speaker 1: it was clearly no accident that you were in that 279 00:15:09,800 --> 00:15:13,720 Speaker 1: area hunting that specific buck. Tell us about the scouting 280 00:15:13,800 --> 00:15:16,000 Speaker 1: that went into that and the kind of encounters that 281 00:15:16,040 --> 00:15:19,480 Speaker 1: you had leading into opening day. Yeah, I started my 282 00:15:19,480 --> 00:15:21,760 Speaker 1: white tail scouting here in the Black Hills of South 283 00:15:21,800 --> 00:15:26,160 Speaker 1: Dakota mid July. I don't remember the days, but just 284 00:15:26,280 --> 00:15:28,680 Speaker 1: check my usual areas, did some glass thing, did some 285 00:15:29,000 --> 00:15:31,680 Speaker 1: looking from the roads, and then stomped around a few 286 00:15:31,720 --> 00:15:34,960 Speaker 1: new areas that that looked like they had potential. Saw 287 00:15:35,080 --> 00:15:38,720 Speaker 1: this guy, kicked him out of his bed about eleven o'clock. Um, 288 00:15:39,440 --> 00:15:42,160 Speaker 1: knew right exactly where he was betting that day, and 289 00:15:42,200 --> 00:15:47,080 Speaker 1: he ran to a different piece of flour service and 290 00:15:47,200 --> 00:15:49,000 Speaker 1: kind of adjusted his betting area, but he was still 291 00:15:49,080 --> 00:15:52,960 Speaker 1: within two yards there. And then I would say six 292 00:15:53,080 --> 00:15:58,240 Speaker 1: seven times throughout the month of July into August, some 293 00:15:58,600 --> 00:16:03,360 Speaker 1: eating in the same creek drainage and had a mode 294 00:16:03,400 --> 00:16:07,840 Speaker 1: pasture on some private and then a bunch of oaks 295 00:16:07,880 --> 00:16:09,640 Speaker 1: that I think they were targeting, and they were feeding 296 00:16:09,640 --> 00:16:13,200 Speaker 1: in the grasses, been hitting the oaks. I don't know 297 00:16:13,240 --> 00:16:15,880 Speaker 1: if the acorns from last year or if it was 298 00:16:15,960 --> 00:16:19,640 Speaker 1: new newly fallen oaks, but for acorns, but he was 299 00:16:19,640 --> 00:16:22,600 Speaker 1: pretty consistent there, so I knew roughly betting, and I 300 00:16:22,680 --> 00:16:27,160 Speaker 1: knew pretty precisely feed in the evening, so at a 301 00:16:27,720 --> 00:16:30,160 Speaker 1: pretty full picture on what to do for opening day. 302 00:16:30,480 --> 00:16:32,880 Speaker 1: The buck that you killed was hard horned. But what 303 00:16:33,000 --> 00:16:35,480 Speaker 1: percentage of other white tails that you were seeing We're 304 00:16:35,480 --> 00:16:39,600 Speaker 1: still in velvet um, I think as soon as the 305 00:16:39,640 --> 00:16:42,400 Speaker 1: season started September one, I don't know that I've seen 306 00:16:42,480 --> 00:16:46,800 Speaker 1: a single puck in the hills on the hoof in 307 00:16:46,880 --> 00:16:50,440 Speaker 1: Velvet anymore. So I think nineties some percent are definitely 308 00:16:50,480 --> 00:16:53,440 Speaker 1: hard horned right now. How about with bachelor groups? How 309 00:16:53,440 --> 00:16:56,040 Speaker 1: many white tail bucks were you seeing that we're still 310 00:16:56,080 --> 00:16:59,400 Speaker 1: hanging out with other white tail box I would say 311 00:16:59,440 --> 00:17:02,480 Speaker 1: that every buck that I had been targeting and watching 312 00:17:02,480 --> 00:17:04,640 Speaker 1: over the summer was still hanging out with this bachelor 313 00:17:04,680 --> 00:17:07,840 Speaker 1: group I do just a few days ago. Now, what 314 00:17:07,960 --> 00:17:11,200 Speaker 1: other food sources besides the mode pasture that you were 315 00:17:11,240 --> 00:17:13,720 Speaker 1: kind of hunting do you think are relevant right now 316 00:17:13,800 --> 00:17:16,960 Speaker 1: in the Black Hills? From what I'm seeing just doing 317 00:17:17,000 --> 00:17:22,520 Speaker 1: continue scouting for family, They're they're still hitting grasses, but 318 00:17:22,600 --> 00:17:26,440 Speaker 1: any kind of bushes that are any kind of greenery 319 00:17:26,480 --> 00:17:28,960 Speaker 1: that's kind of starting to change, appears to be pretty 320 00:17:28,960 --> 00:17:31,280 Speaker 1: palatable right now because they're hanging out and kind of 321 00:17:31,280 --> 00:17:34,840 Speaker 1: that north facing heavily vegetated brush they're they're like in 322 00:17:34,880 --> 00:17:37,280 Speaker 1: that right now on top of the grass. And do 323 00:17:37,359 --> 00:17:40,320 Speaker 1: you notice those beds or food patterns change as we 324 00:17:40,359 --> 00:17:42,560 Speaker 1: get into October in the Black Hills or does it 325 00:17:42,640 --> 00:17:44,920 Speaker 1: largely stay the same is what you're seeing in September. 326 00:17:45,520 --> 00:17:48,399 Speaker 1: I think these deer, since they're such big foragers, I 327 00:17:48,440 --> 00:17:51,880 Speaker 1: think their food sources are pretty consistent. So I would 328 00:17:51,880 --> 00:17:55,240 Speaker 1: expect that pattern to continue and then maybe once all 329 00:17:55,280 --> 00:17:58,239 Speaker 1: the leaves have fallen, and then to probably probably be 330 00:17:58,280 --> 00:18:02,880 Speaker 1: exclusively than maybe some make corns from here and there. 331 00:18:03,680 --> 00:18:06,000 Speaker 1: But I think the patterns stays pretty consistent as far 332 00:18:06,000 --> 00:18:08,000 Speaker 1: as what they're feeding, and it's more or less dictated 333 00:18:08,000 --> 00:18:11,120 Speaker 1: by hunting pressure going forward. Then in the next week 334 00:18:11,200 --> 00:18:13,000 Speaker 1: or so, what do you think that buck activity is 335 00:18:13,000 --> 00:18:14,840 Speaker 1: going to be On a scale of one to ten 336 00:18:15,000 --> 00:18:18,120 Speaker 1: in South Dakota. In South Dakota in general, I would 337 00:18:18,119 --> 00:18:21,240 Speaker 1: say we're still hanging onto a seven. Buck patterns will 338 00:18:21,280 --> 00:18:24,159 Speaker 1: still stay consistent here for maybe another week or so 339 00:18:24,320 --> 00:18:27,479 Speaker 1: until bachelor groups are breaking up and bucks are kind 340 00:18:27,480 --> 00:18:30,919 Speaker 1: of establishing their new uh, their new pecking order and 341 00:18:31,000 --> 00:18:33,280 Speaker 1: kind of their new little core area. So I think 342 00:18:33,560 --> 00:18:36,120 Speaker 1: we'll still be at a seven. All right, Dylan, congrats 343 00:18:36,119 --> 00:18:38,080 Speaker 1: again on the awesome buck. Thanks for joining me, and 344 00:18:38,119 --> 00:18:40,119 Speaker 1: good luck with the rest of your fall. Thank you 345 00:18:40,119 --> 00:18:44,680 Speaker 1: you too, alright and joining us online. Next is Mark 346 00:18:44,760 --> 00:18:48,800 Speaker 1: Haslum from Southeast Whitetail dot Com in South Carolina. Now 347 00:18:48,840 --> 00:18:51,160 Speaker 1: Mark in South Carolina, what would you say the buck 348 00:18:51,200 --> 00:18:55,200 Speaker 1: activity has been lately on a scale of one to ten? Spencer, 349 00:18:55,240 --> 00:18:58,680 Speaker 1: I would say the past week in South Carolina, buck 350 00:18:58,720 --> 00:19:01,080 Speaker 1: activity has probably been them are around the three and 351 00:19:01,720 --> 00:19:08,080 Speaker 1: somewhere around the three to four scale. Um Um, it 352 00:19:08,160 --> 00:19:12,359 Speaker 1: was a lot higher when the season opened AUGUSTUM. We 353 00:19:12,440 --> 00:19:15,240 Speaker 1: see a lot more mature bucks still on that summer pattern, 354 00:19:15,640 --> 00:19:18,440 Speaker 1: but it's almost like clockworks. At about the third fourth 355 00:19:18,440 --> 00:19:22,880 Speaker 1: week in August, UM, they start to slow down coming 356 00:19:22,920 --> 00:19:25,800 Speaker 1: out in daylight hours, UH, start to shift out that 357 00:19:25,840 --> 00:19:29,159 Speaker 1: summer pattern and at the time that fourth week in 358 00:19:29,200 --> 00:19:32,600 Speaker 1: August rolls around, velvets starting to peel for most bucks, 359 00:19:33,359 --> 00:19:38,880 Speaker 1: and um, they are decreasing daylight act activity. And where 360 00:19:39,080 --> 00:19:44,360 Speaker 1: now that low period between velvet season and pre ruts. Well, Mark, 361 00:19:44,520 --> 00:19:46,879 Speaker 1: you just killed a great buck in South Carolina. Tell 362 00:19:46,920 --> 00:19:48,680 Speaker 1: us about that set up, why you were in that area, 363 00:19:48,680 --> 00:19:51,920 Speaker 1: and why that buck was in that specific area. So 364 00:19:52,280 --> 00:19:55,879 Speaker 1: yesterday morning that that hunt worked out. I can honestly 365 00:19:55,920 --> 00:19:58,480 Speaker 1: say it worked out exactly how I had mapped out 366 00:19:58,600 --> 00:20:00,800 Speaker 1: in my head the night before, or waking up at 367 00:20:00,800 --> 00:20:04,399 Speaker 1: four am typically doesn't doesn't work that way. It hadn't 368 00:20:04,400 --> 00:20:07,600 Speaker 1: worked that way all seasons since the opener. Since the opener, 369 00:20:07,600 --> 00:20:11,280 Speaker 1: I've been hunting over um foods horses, destination foods horses 370 00:20:11,760 --> 00:20:15,040 Speaker 1: since then. Since since we're in that low period, what 371 00:20:15,160 --> 00:20:19,480 Speaker 1: I decided to do is set up outside a good 372 00:20:19,480 --> 00:20:23,160 Speaker 1: bedding site that I know where bucks traditionally bed. It's 373 00:20:23,160 --> 00:20:25,280 Speaker 1: a clear cut on the edge of a Carolina bay. 374 00:20:25,560 --> 00:20:28,560 Speaker 1: It's about four years it was clear kind about four 375 00:20:28,600 --> 00:20:31,719 Speaker 1: years ago replanted and it's very thick and dense, and 376 00:20:31,760 --> 00:20:34,760 Speaker 1: it's it's tall enough to shade out the sun and 377 00:20:34,920 --> 00:20:38,040 Speaker 1: maturity or will bed in there. Uh, during the heat 378 00:20:38,119 --> 00:20:41,919 Speaker 1: of summer. So I knew traditionally they bed in this area, 379 00:20:42,560 --> 00:20:46,640 Speaker 1: and um, you know, being in a long period right now, 380 00:20:46,720 --> 00:20:50,840 Speaker 1: you don't really know when you don't know how often 381 00:20:50,920 --> 00:20:53,400 Speaker 1: bucks are going to get up and move early enough 382 00:20:53,440 --> 00:20:56,600 Speaker 1: in the evenings to possibly get on them. I don't 383 00:20:56,600 --> 00:20:58,440 Speaker 1: know if they're gonna move, you know, three or four 384 00:20:58,520 --> 00:21:01,520 Speaker 1: days a week or But what I do know is 385 00:21:02,080 --> 00:21:04,880 Speaker 1: the temperature is the lowest temperatures you're gonna have every 386 00:21:04,920 --> 00:21:08,119 Speaker 1: single day at night. And so bucks they might not 387 00:21:08,240 --> 00:21:10,600 Speaker 1: get up, they might not start moving before the sun 388 00:21:10,600 --> 00:21:12,960 Speaker 1: goes down, but they're gonna be at out the middle 389 00:21:13,000 --> 00:21:15,440 Speaker 1: of the the night. Unless it's less as a trenial downpourse 390 00:21:15,480 --> 00:21:18,480 Speaker 1: and heavy fog, they're gonna be feeding all night and 391 00:21:18,520 --> 00:21:21,080 Speaker 1: they're gonna they're gonna book it back to make it 392 00:21:21,240 --> 00:21:23,920 Speaker 1: make it to their bedding right before uh first light. 393 00:21:24,320 --> 00:21:27,600 Speaker 1: So I went in about an hour before uh sunrise 394 00:21:28,520 --> 00:21:31,480 Speaker 1: got set up in about twenty five year old pine 395 00:21:31,560 --> 00:21:35,080 Speaker 1: stand that had been thinned several times, had been burnt, 396 00:21:35,160 --> 00:21:37,080 Speaker 1: so it was good open woods for me to be 397 00:21:37,119 --> 00:21:39,919 Speaker 1: able to see uh, you know, two and three hundred 398 00:21:40,000 --> 00:21:44,879 Speaker 1: yards any which direction. But with that, with that T. S. 399 00:21:44,960 --> 00:21:48,960 Speaker 1: I work, um, the vegetations a foot the three ft 400 00:21:48,960 --> 00:21:52,120 Speaker 1: tall severe feel comfortable in it. And I was about 401 00:21:52,200 --> 00:21:54,760 Speaker 1: a couple of hundred yards from that bedding site that 402 00:21:54,800 --> 00:21:59,480 Speaker 1: I know bucks traditionally that ind and it happened. Happened 403 00:21:59,560 --> 00:22:02,919 Speaker 1: how I vision um. I think first flight was at 404 00:22:02,920 --> 00:22:06,720 Speaker 1: sixty eight and I think I shot by six fifty five. 405 00:22:07,400 --> 00:22:10,760 Speaker 1: I had three bucks that came in small bachelor group. 406 00:22:11,200 --> 00:22:13,440 Speaker 1: The buck I shot it looked like a two year old, 407 00:22:13,520 --> 00:22:15,360 Speaker 1: and then a spike that was behind it. They were 408 00:22:15,400 --> 00:22:19,240 Speaker 1: all hard horned and they were going right back to 409 00:22:19,280 --> 00:22:21,920 Speaker 1: betting right the first life. I know you've had a 410 00:22:21,960 --> 00:22:25,439 Speaker 1: lot of success in the past hunting mornings in early season. 411 00:22:25,480 --> 00:22:27,320 Speaker 1: I feel like you have a different mindset when it 412 00:22:27,359 --> 00:22:30,440 Speaker 1: comes to those setups than other hunters. Tell us about 413 00:22:31,080 --> 00:22:34,280 Speaker 1: what you like about hunting mornings in August and September. 414 00:22:35,760 --> 00:22:40,400 Speaker 1: What I like about hunting mornings is is is can 415 00:22:40,720 --> 00:22:42,879 Speaker 1: it could? It will continue on. What I just said 416 00:22:43,440 --> 00:22:46,200 Speaker 1: is that the coolest people people that hung up with temperatures. 417 00:22:46,720 --> 00:22:49,320 Speaker 1: The coolest part of every single day is gonna be overnight. 418 00:22:49,440 --> 00:22:52,280 Speaker 1: And so, like I said, bucks might not get up 419 00:22:52,280 --> 00:22:54,240 Speaker 1: and start might not start moving to like two am. 420 00:22:54,280 --> 00:22:58,440 Speaker 1: But they're gonna be feeding, moving around all night. Um. 421 00:22:58,520 --> 00:23:02,600 Speaker 1: And then I had a lot of success climbing and 422 00:23:02,640 --> 00:23:07,040 Speaker 1: being mobile outside betting. Um. You know, if you can 423 00:23:07,080 --> 00:23:09,600 Speaker 1: get on some bots around the opening, you can catch 424 00:23:09,640 --> 00:23:12,280 Speaker 1: them on that summer schedule. But I feel like pretty 425 00:23:12,359 --> 00:23:16,720 Speaker 1: quickly mature bucks. You know, everyone in South Carolina's not 426 00:23:16,880 --> 00:23:19,639 Speaker 1: is not hunting that early. But what happens is, and 427 00:23:19,640 --> 00:23:22,520 Speaker 1: I think some hunters don't don't really connect the dots, 428 00:23:22,640 --> 00:23:27,600 Speaker 1: is that Um, the full season hunting either either sucks 429 00:23:27,600 --> 00:23:30,879 Speaker 1: opens up September, but most people are hunting late late 430 00:23:30,960 --> 00:23:33,400 Speaker 1: September or at least the first October, when like pre 431 00:23:33,520 --> 00:23:37,000 Speaker 1: rutting rout starts kickles. So this time of year on September, 432 00:23:37,720 --> 00:23:40,439 Speaker 1: hunters might not be out there taking the woods on 433 00:23:40,520 --> 00:23:44,800 Speaker 1: the stand, but they're doing um proper work. They're planning 434 00:23:44,800 --> 00:23:48,600 Speaker 1: food plots, running trail cameras, hanging stands, trimming, trimming roads, 435 00:23:48,640 --> 00:23:52,800 Speaker 1: bush holg and so there. Their presence is there right now, 436 00:23:53,520 --> 00:23:58,320 Speaker 1: and um, deer pick up on that. And so um, 437 00:23:58,480 --> 00:24:01,320 Speaker 1: the most of the sex success I've had early season 438 00:24:01,440 --> 00:24:05,359 Speaker 1: has been climbing and being noble. And you've got to 439 00:24:05,359 --> 00:24:08,560 Speaker 1: see as far as wind because in the in the 440 00:24:08,840 --> 00:24:11,800 Speaker 1: With the warmer temperatures we have down here in the south, 441 00:24:13,200 --> 00:24:15,639 Speaker 1: wind can swirl and it can be very very inconsistent 442 00:24:15,760 --> 00:24:18,000 Speaker 1: unless we have a cold front. But if you can 443 00:24:18,040 --> 00:24:22,280 Speaker 1: get tight on bedding with good wind, you can catch 444 00:24:22,320 --> 00:24:25,800 Speaker 1: box and moving back right there at first light. Um, 445 00:24:25,840 --> 00:24:27,919 Speaker 1: and it's gonna be about the first thirty minutes. And 446 00:24:27,960 --> 00:24:30,280 Speaker 1: that's really gonna be about it. It's given me very quick. 447 00:24:30,880 --> 00:24:34,200 Speaker 1: But um, if you if you try to be too 448 00:24:34,200 --> 00:24:38,280 Speaker 1: aggressive and hunt that way in the evenings, you're probably 449 00:24:38,280 --> 00:24:40,439 Speaker 1: gonna blow the area out because you're gonna have a 450 00:24:40,440 --> 00:24:42,040 Speaker 1: lot of a ton of doves and a ton of 451 00:24:42,119 --> 00:24:46,439 Speaker 1: young bucks that are gonna wind you and U are 452 00:24:46,480 --> 00:24:48,880 Speaker 1: gonna blow them the shirt box out that aren't moving 453 00:24:48,920 --> 00:24:51,800 Speaker 1: that early. What food sources do you think are relevant 454 00:24:51,840 --> 00:24:53,800 Speaker 1: for white tail hunters right now in that part of 455 00:24:53,800 --> 00:24:59,680 Speaker 1: the country. Peanuts, soybeans are killer. Corn. Corn is good 456 00:24:59,680 --> 00:25:02,600 Speaker 1: as well. Oh, it depends on you know, if it's 457 00:25:02,840 --> 00:25:05,639 Speaker 1: if it's farm corn, they probably you know, they're not 458 00:25:05,680 --> 00:25:08,080 Speaker 1: gonna cut it. They're not gonna bush bush hall shooting 459 00:25:08,119 --> 00:25:10,560 Speaker 1: lanes points is me very tight. Most of the corn 460 00:25:10,640 --> 00:25:13,639 Speaker 1: has already been harvested because we've got some dry weather 461 00:25:14,000 --> 00:25:17,400 Speaker 1: and the corn is dry enough, but soybeans and peanuts 462 00:25:17,480 --> 00:25:20,960 Speaker 1: right now are killer um. What I've noticed is not 463 00:25:21,240 --> 00:25:25,600 Speaker 1: many mature bucks have been coming out almost egg fields 464 00:25:25,720 --> 00:25:29,760 Speaker 1: um in the evenings and until late. So it's see 465 00:25:29,760 --> 00:25:31,960 Speaker 1: what I've been focusing on, and what I focused on 466 00:25:32,040 --> 00:25:34,560 Speaker 1: yesterday and the morning for that hunt was the food 467 00:25:34,560 --> 00:25:37,280 Speaker 1: source in the timber um. And as I meant before, 468 00:25:38,000 --> 00:25:40,600 Speaker 1: if you hunt on ground the southeast, whether you know 469 00:25:40,720 --> 00:25:44,080 Speaker 1: the poppy owner or maybe see public land, or you 470 00:25:44,119 --> 00:25:47,199 Speaker 1: know the timber company if they're doing any kind of 471 00:25:47,240 --> 00:25:50,800 Speaker 1: timber stand improvement, if there, if the pine trees have 472 00:25:50,920 --> 00:25:54,040 Speaker 1: reached at least fifteen years or more, it's probably ready 473 00:25:54,080 --> 00:25:56,440 Speaker 1: for a first Then if they've been thin, if they've 474 00:25:56,440 --> 00:26:00,479 Speaker 1: been burned, if you don't have food plots or fields, 475 00:26:00,520 --> 00:26:02,840 Speaker 1: take a look at that native vegetation. Take a look 476 00:26:02,880 --> 00:26:08,440 Speaker 1: at the briars, American beauty berry, all those plants. Take 477 00:26:08,480 --> 00:26:11,200 Speaker 1: a look at them, watch them, look for Brown's line, 478 00:26:11,800 --> 00:26:14,119 Speaker 1: and look for that native vegetation. Because with all this 479 00:26:14,440 --> 00:26:17,639 Speaker 1: killer rain we've had all summer, there are so much green, 480 00:26:18,000 --> 00:26:22,840 Speaker 1: very tender, succulent plants out there where Dear, they're they're 481 00:26:22,840 --> 00:26:26,400 Speaker 1: gonna hit those areas from bedding and going to those 482 00:26:26,440 --> 00:26:29,240 Speaker 1: destination food sources that are wide open fields that they're 483 00:26:29,240 --> 00:26:33,000 Speaker 1: probably not gonna hit until later in the evenings going forward, 484 00:26:33,040 --> 00:26:34,600 Speaker 1: Then in the sext week or so, what do you 485 00:26:34,600 --> 00:26:36,439 Speaker 1: think that bucket activity is going to be on a 486 00:26:36,480 --> 00:26:39,640 Speaker 1: scale of one to ten in South Carolina? It will 487 00:26:39,680 --> 00:26:43,280 Speaker 1: begin spencer to slow slowly pick up This upcoming week 488 00:26:43,320 --> 00:26:47,719 Speaker 1: could be a five, maybe maybe push into a six. Um. 489 00:26:47,840 --> 00:26:52,359 Speaker 1: I'm still seeing some bucks in bachelor groups will start 490 00:26:52,400 --> 00:26:57,000 Speaker 1: to see um a lot more separating selves. UM. I 491 00:26:57,080 --> 00:26:59,439 Speaker 1: saw a good amount of scrapes and some fresh rubs. 492 00:26:59,480 --> 00:27:01,440 Speaker 1: I didn't do too much walk in the woods because 493 00:27:01,440 --> 00:27:03,960 Speaker 1: I don't want to blow the woods up. UM. But 494 00:27:04,359 --> 00:27:07,280 Speaker 1: our pre run is going to start kicking off in 495 00:27:07,320 --> 00:27:11,280 Speaker 1: about week the week three and week four September. UM. 496 00:27:11,320 --> 00:27:14,280 Speaker 1: I had two young bucks that were sparring Saturday morning 497 00:27:15,000 --> 00:27:19,040 Speaker 1: and I will routinely get them um and some sparring 498 00:27:19,320 --> 00:27:23,320 Speaker 1: light life fighting um that third fourth week in September. 499 00:27:23,400 --> 00:27:25,920 Speaker 1: So bucks are gonna be out. They're gonna be hitting 500 00:27:25,960 --> 00:27:31,520 Speaker 1: those community uh signposts, making their making their presence known, socializing, 501 00:27:32,400 --> 00:27:37,920 Speaker 1: establishing and making sure they know that dominant buck hierarchy 502 00:27:38,000 --> 00:27:40,480 Speaker 1: and we're gonna start seeing more and more buck activity 503 00:27:40,640 --> 00:27:43,320 Speaker 1: taking place, and they're gonna start show up back on 504 00:27:43,400 --> 00:27:47,760 Speaker 1: this destination food sourceness um. In about two to two 505 00:27:47,840 --> 00:27:51,040 Speaker 1: to three weeks towards end of September, these mature bucks 506 00:27:51,040 --> 00:27:53,640 Speaker 1: and I start showing up in these fields of food plants, 507 00:27:54,280 --> 00:27:59,280 Speaker 1: making them presence known, showing themselves, making sign and um 508 00:27:59,320 --> 00:28:02,520 Speaker 1: as a repairs and he got testosterone players and they're 509 00:28:02,680 --> 00:28:06,800 Speaker 1: we're on the cusp of that first heat cycle. All right, Mark, 510 00:28:06,920 --> 00:28:09,359 Speaker 1: great intel, great buck, Thanks for joining me, and good 511 00:28:09,440 --> 00:28:12,480 Speaker 1: luck with the rest of your fall. Thanks Spencer, good 512 00:28:12,520 --> 00:28:16,399 Speaker 1: luck in the season, all right, and joining us on 513 00:28:16,440 --> 00:28:19,080 Speaker 1: the line. Last is Tyler Jones from The Element, who 514 00:28:19,160 --> 00:28:22,120 Speaker 1: was hunting in Nebraska. Now, Tyler in Nebraska, what would 515 00:28:22,119 --> 00:28:24,040 Speaker 1: you say the buck activity is ben lately? On a 516 00:28:24,080 --> 00:28:28,080 Speaker 1: skill of one to ten, probably a five um. There 517 00:28:28,160 --> 00:28:32,479 Speaker 1: was times when deer or bucks in particular, we're moving 518 00:28:33,080 --> 00:28:35,040 Speaker 1: kind of late in the morning, which may be due 519 00:28:35,080 --> 00:28:37,600 Speaker 1: to cool weather. And then there were times in the 520 00:28:37,600 --> 00:28:39,920 Speaker 1: evenings where I saw the air moving pretty late as well. 521 00:28:40,400 --> 00:28:42,320 Speaker 1: Now I know you just had a successful hunting. There 522 00:28:42,360 --> 00:28:44,320 Speaker 1: was a great buck that you killed. Tell us about 523 00:28:44,320 --> 00:28:46,640 Speaker 1: that setup. Why you were in that spot and why 524 00:28:46,680 --> 00:28:50,840 Speaker 1: that buck was in that spot? Sure, um so you know, 525 00:28:51,680 --> 00:28:54,080 Speaker 1: for one, the buck was in that spot because it 526 00:28:54,160 --> 00:28:57,360 Speaker 1: was very remote, um and hard to get to. I 527 00:28:57,440 --> 00:29:00,520 Speaker 1: don't try to he man it to my but I 528 00:29:00,560 --> 00:29:04,080 Speaker 1: do like to, um kind of observe the situation. As 529 00:29:04,080 --> 00:29:06,160 Speaker 1: we got later in the hunt, I started seeing that 530 00:29:06,960 --> 00:29:10,520 Speaker 1: uh bucks uh in particular, and deer were kind of 531 00:29:10,560 --> 00:29:13,640 Speaker 1: scarce um near near the roads. A lot of that 532 00:29:13,640 --> 00:29:16,960 Speaker 1: stuff was getting hit. There was quite a few people 533 00:29:16,960 --> 00:29:20,040 Speaker 1: out there in the area hunting and um, so I 534 00:29:20,400 --> 00:29:22,960 Speaker 1: think that I just decided, well, as it gets later 535 00:29:23,000 --> 00:29:25,240 Speaker 1: in the hunt, you gotta you know, you don't have 536 00:29:25,280 --> 00:29:27,800 Speaker 1: an opportunity to kill a deer um close to the 537 00:29:27,880 --> 00:29:30,720 Speaker 1: roads as easily. So ended up going back into a 538 00:29:30,720 --> 00:29:33,840 Speaker 1: remote section that had was pretty steep. Really. That was 539 00:29:33,880 --> 00:29:36,960 Speaker 1: another thing, you know. Um. And then on top of that, 540 00:29:37,360 --> 00:29:41,760 Speaker 1: the deer movement was somewhat predictable due to crop fields 541 00:29:41,800 --> 00:29:45,239 Speaker 1: that were several hundred yards away as well. What were 542 00:29:45,240 --> 00:29:47,520 Speaker 1: the crop fields that you were focused on on that hunt? 543 00:29:48,600 --> 00:29:52,080 Speaker 1: You know, I actually never saw the what I assumed 544 00:29:52,240 --> 00:29:55,920 Speaker 1: was corn, but um, it was on a pivot and 545 00:29:56,240 --> 00:30:00,640 Speaker 1: it seemed like, according to on xit was corn in 546 00:30:00,680 --> 00:30:04,400 Speaker 1: the past, um in the last year that being, and 547 00:30:04,520 --> 00:30:07,480 Speaker 1: so I assumed it was corn. It also looked different 548 00:30:07,520 --> 00:30:10,800 Speaker 1: color on the map than the other two uh small 549 00:30:10,800 --> 00:30:13,560 Speaker 1: pivots that I was seeing, and those were milo which 550 00:30:13,680 --> 00:30:16,160 Speaker 1: I've seen in the past hunt Nebraska last couple of years. 551 00:30:16,280 --> 00:30:18,560 Speaker 1: That they will definitely use that milow. I don't know 552 00:30:18,560 --> 00:30:20,640 Speaker 1: if they're eating it a bunch this time of year necessarily, 553 00:30:20,680 --> 00:30:23,600 Speaker 1: but they're in it a lot because it's covered and 554 00:30:23,960 --> 00:30:27,040 Speaker 1: um something about just agriculture and areas where there's not 555 00:30:27,120 --> 00:30:29,400 Speaker 1: a lot of it. It's just like something for them 556 00:30:29,400 --> 00:30:32,479 Speaker 1: to move to at night, whether it's highly preferential or not. 557 00:30:33,280 --> 00:30:35,080 Speaker 1: So how far off of the food? So the worse 558 00:30:35,120 --> 00:30:37,760 Speaker 1: were you actually hunting a little over a hundred yards 559 00:30:37,840 --> 00:30:41,720 Speaker 1: from the milo? The corn though, was probably closer to 560 00:30:41,760 --> 00:30:45,840 Speaker 1: a half mile away. And that's when I saw uh 561 00:30:45,880 --> 00:30:48,000 Speaker 1: that evening and I shot the buck. I saw two bucks, 562 00:30:48,120 --> 00:30:50,440 Speaker 1: actually shot the smaller of the two that i'd seen, 563 00:30:50,640 --> 00:30:53,240 Speaker 1: but they were probably forty five minutes apart, and neither 564 00:30:53,240 --> 00:30:55,240 Speaker 1: one of them really appeared to be heading to the mile. 565 00:30:55,400 --> 00:30:57,400 Speaker 1: They were in the direction headed to the direction of 566 00:30:57,400 --> 00:31:00,160 Speaker 1: the corn. But that was about as close as I 567 00:31:00,200 --> 00:31:01,920 Speaker 1: could get. I didn't want to get super close to 568 00:31:01,960 --> 00:31:03,880 Speaker 1: the fence line because I don't want to shoot a 569 00:31:03,920 --> 00:31:05,760 Speaker 1: deer that runs on to private really and have to 570 00:31:05,800 --> 00:31:08,880 Speaker 1: deal with all that. So that's probably a half mile 571 00:31:08,960 --> 00:31:12,000 Speaker 1: from the corner. So now, the buck that you killed 572 00:31:12,400 --> 00:31:14,800 Speaker 1: was hard horned. But what percentage of the other white 573 00:31:14,840 --> 00:31:18,400 Speaker 1: tails you were seeing were in velvet versus not in velvet? 574 00:31:19,000 --> 00:31:22,480 Speaker 1: Anything over a year and a half um or what 575 00:31:22,520 --> 00:31:24,880 Speaker 1: I assumed was a year and a half old was 576 00:31:25,120 --> 00:31:28,360 Speaker 1: hard horned. Pretty much everything we saw. Um, we saw 577 00:31:28,400 --> 00:31:30,040 Speaker 1: a really good deer in the headlights one night as 578 00:31:30,080 --> 00:31:32,280 Speaker 1: we were driving in the first night actually was driving in, 579 00:31:32,400 --> 00:31:35,479 Speaker 1: getting really close. I saw a big eleven point he 580 00:31:35,520 --> 00:31:38,280 Speaker 1: was hard horned. And then everything which we didn't see 581 00:31:38,280 --> 00:31:40,160 Speaker 1: a ton of bucks. UM. I don't know if they've 582 00:31:40,160 --> 00:31:42,600 Speaker 1: been hit with the HD or not. I hadn't heard 583 00:31:42,600 --> 00:31:46,080 Speaker 1: any reports really from that area, and it seemed like 584 00:31:46,120 --> 00:31:48,480 Speaker 1: Nebraska didn't get hit as hard with drought this year, 585 00:31:49,280 --> 00:31:51,480 Speaker 1: um overall as some of the other states up there. 586 00:31:51,560 --> 00:31:55,640 Speaker 1: But um, I did have a buddy that was hunting 587 00:31:55,640 --> 00:31:57,640 Speaker 1: in the area that sent me a picture of a 588 00:31:57,760 --> 00:32:01,800 Speaker 1: velvet buck that was dead in near a swamp. UM. 589 00:32:02,040 --> 00:32:05,440 Speaker 1: So kind of assumed HD, but maybe not. I don't 590 00:32:05,480 --> 00:32:09,960 Speaker 1: want to be a spearmonger, but um, everything other than 591 00:32:10,000 --> 00:32:12,680 Speaker 1: a little kind of innkers were pretty much hard horned. 592 00:32:13,080 --> 00:32:15,280 Speaker 1: I was kind of surprised. Actually were a lot of 593 00:32:15,320 --> 00:32:18,040 Speaker 1: the bucks that you were seeing in bachelor groups. No, 594 00:32:18,240 --> 00:32:20,920 Speaker 1: it's kind of the same thing. Um there was. It 595 00:32:20,960 --> 00:32:24,600 Speaker 1: was probably some of the biggest bucks that I saw most, 596 00:32:24,680 --> 00:32:26,719 Speaker 1: it's not all. The biggest bucks that I saw were 597 00:32:26,960 --> 00:32:31,280 Speaker 1: pretty much in a loner state. Um. The smaller bucks 598 00:32:31,280 --> 00:32:33,800 Speaker 1: seemed to be a little bit more batched. I hunted 599 00:32:33,880 --> 00:32:37,480 Speaker 1: um a spot that had five bucks in the area. Um, 600 00:32:37,640 --> 00:32:40,360 Speaker 1: three of them ran together, and they were all like 601 00:32:40,440 --> 00:32:44,200 Speaker 1: four keys or spikes pretty much. And then the other 602 00:32:44,320 --> 00:32:47,640 Speaker 1: two that ran together were two looked like eight points 603 00:32:47,720 --> 00:32:50,240 Speaker 1: that were kind of basket eights. Um dear that I 604 00:32:50,240 --> 00:32:53,400 Speaker 1: probably would have shot. But um, there's a good chance 605 00:32:53,440 --> 00:32:57,080 Speaker 1: that they were related of some sort. But outside of that, 606 00:32:57,200 --> 00:32:59,040 Speaker 1: everything that we saw it looked like it was three 607 00:32:59,120 --> 00:33:02,760 Speaker 1: years or older seem to be um already broken up 608 00:33:02,800 --> 00:33:07,000 Speaker 1: from their bachelor status. Now, traditionally a lot of hunters 609 00:33:07,080 --> 00:33:09,280 Speaker 1: aren't hunting the mornings this time of year, But I 610 00:33:09,280 --> 00:33:11,800 Speaker 1: assumed Tyler, since you were traveling out of state and 611 00:33:11,840 --> 00:33:14,360 Speaker 1: you had a limited timeline that you guys were hunting 612 00:33:14,360 --> 00:33:16,080 Speaker 1: some mornings. Is that the case and what did those 613 00:33:16,080 --> 00:33:20,680 Speaker 1: setups look like? That is the case? Um. So we 614 00:33:20,680 --> 00:33:23,080 Speaker 1: we got rained out one morning, and not that we're 615 00:33:23,080 --> 00:33:25,840 Speaker 1: afraid to hunt the rain, but we had to rential 616 00:33:25,880 --> 00:33:28,480 Speaker 1: down for for four hours and in thirty or forty 617 00:33:28,520 --> 00:33:30,800 Speaker 1: mile winds and we just got soaked all night in 618 00:33:30,840 --> 00:33:34,480 Speaker 1: a tent. So we decided to sleep in one morning. UM. 619 00:33:34,520 --> 00:33:39,400 Speaker 1: But we tried to hunt as many mornings as possible. UM. 620 00:33:39,440 --> 00:33:41,400 Speaker 1: Because this time of year, I think that it can 621 00:33:41,440 --> 00:33:44,320 Speaker 1: be good. UM, because there's cooler weather. You'll get a 622 00:33:44,320 --> 00:33:46,120 Speaker 1: lot of bucks that will move later in the morning, 623 00:33:46,520 --> 00:33:49,440 Speaker 1: I feel like personally, and if you can get close 624 00:33:49,480 --> 00:33:52,160 Speaker 1: to what you assume is betting, um, you can have 625 00:33:52,240 --> 00:33:54,760 Speaker 1: deer come in at eight thirty or nine, nine thirty. 626 00:33:54,800 --> 00:33:57,240 Speaker 1: Even sometimes if it's cooler morning, you had a co 627 00:33:57,400 --> 00:34:01,400 Speaker 1: front come through. So we were focusing in kind of 628 00:34:01,440 --> 00:34:04,240 Speaker 1: we hunted a lot of more open country, UM, some 629 00:34:04,440 --> 00:34:06,120 Speaker 1: timber stuff. You know, with that tag, we can move 630 00:34:06,120 --> 00:34:08,480 Speaker 1: pretty much all over the state, and we did move 631 00:34:08,560 --> 00:34:11,319 Speaker 1: quite a bit, but UM and the open stuff, we 632 00:34:11,320 --> 00:34:14,920 Speaker 1: were focusing more on uh, you know, stuff in the 633 00:34:14,960 --> 00:34:19,960 Speaker 1: bottom of draws or around lakes or ponds UM that 634 00:34:20,040 --> 00:34:24,520 Speaker 1: had willows around it, and also just high vegetation because 635 00:34:24,560 --> 00:34:27,960 Speaker 1: of the um because it has water near, you know. 636 00:34:28,080 --> 00:34:30,319 Speaker 1: And so you get these little pockets that have these 637 00:34:31,239 --> 00:34:35,359 Speaker 1: um really tall sunflowers and golden rod and all kinds 638 00:34:35,360 --> 00:34:37,719 Speaker 1: of different willows and stuff like that. UM and it 639 00:34:37,800 --> 00:34:40,480 Speaker 1: really I mean, especially in like a small young will thicket. 640 00:34:40,480 --> 00:34:42,480 Speaker 1: Those you are getting a lot of shade during the 641 00:34:42,560 --> 00:34:45,000 Speaker 1: day as much as they need. Really they've got water there, 642 00:34:45,600 --> 00:34:47,719 Speaker 1: and then they can move out to hay meadows or 643 00:34:47,719 --> 00:34:50,560 Speaker 1: whatever at night. And so we were focusing in the 644 00:34:50,560 --> 00:34:55,080 Speaker 1: mornings on those little kind of islands or habitat pockets 645 00:34:55,239 --> 00:34:59,240 Speaker 1: near lakes or ponds or you know, cattle tanks or whatever. 646 00:35:00,000 --> 00:35:01,840 Speaker 1: Going forward, Then in this next week or so, what 647 00:35:01,920 --> 00:35:03,640 Speaker 1: do you think that buck activity is going to be 648 00:35:03,760 --> 00:35:06,200 Speaker 1: on the scale of one to ten in Nebraska. I 649 00:35:06,239 --> 00:35:08,120 Speaker 1: think it's going to depend on the weather a little bit. 650 00:35:08,160 --> 00:35:10,719 Speaker 1: And I, uh, kind of have unplugged from the weather 651 00:35:10,760 --> 00:35:12,759 Speaker 1: out there, so I'm not sure what that looks like. 652 00:35:12,800 --> 00:35:14,800 Speaker 1: But I would assume if the weather stays pretty stable 653 00:35:14,800 --> 00:35:17,640 Speaker 1: to what it's been, which was kind of low to 654 00:35:17,800 --> 00:35:21,279 Speaker 1: mid eighties. Um, I would assume that it just continues 655 00:35:21,360 --> 00:35:26,040 Speaker 1: to uh uh pick up. The deer that I shot 656 00:35:26,040 --> 00:35:30,839 Speaker 1: actually had some um little flakes of you know, tree 657 00:35:30,880 --> 00:35:33,920 Speaker 1: barking his in his bases and all the birds and 658 00:35:33,960 --> 00:35:36,560 Speaker 1: stuff like, not just that he had rubbed the velvet off, 659 00:35:36,600 --> 00:35:38,839 Speaker 1: but that he had actually been rubbing a tree as well, 660 00:35:39,040 --> 00:35:41,799 Speaker 1: just kind of that elevated testosterone is what gets them 661 00:35:41,800 --> 00:35:44,480 Speaker 1: out of velvet and then eventually, you know, that just 662 00:35:44,520 --> 00:35:47,400 Speaker 1: continues to rise. Um. I can see that being the case. 663 00:35:47,520 --> 00:35:49,759 Speaker 1: I can see the cool weather and the changing of 664 00:35:49,800 --> 00:35:53,160 Speaker 1: the season, and the grass is turning different colors and stuff, 665 00:35:53,200 --> 00:35:56,120 Speaker 1: so different things are coming into preference for the food 666 00:35:56,160 --> 00:35:58,760 Speaker 1: and everything. And I would assume it would stay really 667 00:35:58,760 --> 00:36:02,400 Speaker 1: in that five or six rain one to ten, but 668 00:36:02,520 --> 00:36:04,879 Speaker 1: it could be really focused with all the pressure they've 669 00:36:04,880 --> 00:36:06,600 Speaker 1: had in the first week, so you might get sign 670 00:36:06,680 --> 00:36:08,880 Speaker 1: a pocket and really get into some bucks. All right, 671 00:36:08,920 --> 00:36:11,560 Speaker 1: Tyler Will, congrats again on the great buck, Thanks for 672 00:36:11,640 --> 00:36:13,160 Speaker 1: joining me, and good luck with the rest of your fall. 673 00:36:13,280 --> 00:36:15,319 Speaker 1: Thanks a bunch, Spinster, thanks for having me on again, man, 674 00:36:16,680 --> 00:36:19,280 Speaker 1: And that concludes this week's episode of rut Fresh Radio. 675 00:36:19,400 --> 00:36:22,360 Speaker 1: Thanks to Clay Dylan, Mark and Tyler for joining me, 676 00:36:22,680 --> 00:36:25,720 Speaker 1: and thank you guys for listening. Like I mentioned earlier, 677 00:36:25,760 --> 00:36:28,040 Speaker 1: there are some reading assignments in the description of the 678 00:36:28,040 --> 00:36:31,080 Speaker 1: episode on topics like where to find bucks after they 679 00:36:31,120 --> 00:36:34,799 Speaker 1: shed velvet, how volume hunting could save your season, four 680 00:36:34,840 --> 00:36:37,640 Speaker 1: tools every bow hunter shodown, and the best way to 681 00:36:37,640 --> 00:36:40,960 Speaker 1: get bucks on trail cam without bait. There's some really 682 00:36:41,000 --> 00:36:44,040 Speaker 1: good articles for some really good hunters, and I think 683 00:36:44,080 --> 00:36:47,480 Speaker 1: anybody who likes white Tail will find value in that content. 684 00:36:47,640 --> 00:36:49,640 Speaker 1: I hope you give me a read before our next episode, 685 00:36:49,840 --> 00:36:51,920 Speaker 1: and until then, stay Wired to Hunt.