1 00:00:02,440 --> 00:00:05,800 Speaker 1: Welcome to Wired to Hunts rut Fresh Radio, bringing you 2 00:00:05,880 --> 00:00:08,960 Speaker 1: the latest reports from the White Tailed Woods and now 3 00:00:09,200 --> 00:00:13,760 Speaker 1: your hosts, Casey Smith Tyler Jones. This is rut Fresh 4 00:00:13,840 --> 00:00:17,279 Speaker 1: Radio powered by Vortex Optics, and today we are talking 5 00:00:17,320 --> 00:00:19,919 Speaker 1: to hunters from around the country and the common theme 6 00:00:20,000 --> 00:00:22,479 Speaker 1: seems to be taking care of family matters and finding 7 00:00:22,520 --> 00:00:41,400 Speaker 1: hard mass. What's happening, y'all. This is rut Fresh Radio 8 00:00:41,520 --> 00:00:45,600 Speaker 1: powered by Vortex Optics. Guess what, guys, It is hunting 9 00:00:45,640 --> 00:00:51,960 Speaker 1: season almost everywhere right now, Like October is here. This 10 00:00:52,000 --> 00:00:54,800 Speaker 1: is what we like to affectionately call the pre rut. 11 00:00:55,560 --> 00:00:58,600 Speaker 1: That's exciting times, man. I love being to this time 12 00:00:58,640 --> 00:01:01,800 Speaker 1: of the year. We're actually up in South Dakota right now. 13 00:01:02,040 --> 00:01:04,280 Speaker 1: Been hunting in Nebraska and it actually is fall here. 14 00:01:04,640 --> 00:01:07,440 Speaker 1: Back home in Texas, it's still summer. Like my kids 15 00:01:07,440 --> 00:01:10,200 Speaker 1: swimming in the backyard, you know, like it's going down. 16 00:01:10,240 --> 00:01:13,160 Speaker 1: But up here in the North Country these deer moving 17 00:01:13,200 --> 00:01:15,959 Speaker 1: around and it isn't exciting. Tyler Jones is also here 18 00:01:16,000 --> 00:01:20,280 Speaker 1: with me. Tyler, what is happening, dude? Oh, just you know, 19 00:01:20,440 --> 00:01:23,080 Speaker 1: trying to chase deer around all over the country right now. 20 00:01:23,480 --> 00:01:28,440 Speaker 1: Um actually been up in Nebraska we have and uh, 21 00:01:28,680 --> 00:01:32,240 Speaker 1: we've had pretty good little chunk of success there, Chunky. 22 00:01:32,560 --> 00:01:34,240 Speaker 1: I think it might even get better in the future. 23 00:01:35,959 --> 00:01:39,839 Speaker 1: But yeah, we've you know, we actually started that hunt. 24 00:01:40,800 --> 00:01:43,040 Speaker 1: I had a had a rough hunt man, and uh, 25 00:01:43,160 --> 00:01:47,480 Speaker 1: you were having rust runs, had runt run and you're 26 00:01:47,480 --> 00:01:53,080 Speaker 1: having a bunt hunt. Uh. The for me, I think 27 00:01:53,120 --> 00:01:56,320 Speaker 1: the first two hunts that I had I saw says 28 00:01:56,320 --> 00:01:59,160 Speaker 1: the morning and the evening, I had one deer, So 29 00:01:59,240 --> 00:02:01,760 Speaker 1: I called that A was averaging a half deer per 30 00:02:01,960 --> 00:02:06,360 Speaker 1: sit um. I decided to be pretty aggressive and hunt, 31 00:02:06,680 --> 00:02:10,280 Speaker 1: you know, tree stand hanging saddles and being trees basically 32 00:02:11,000 --> 00:02:14,359 Speaker 1: m on this hunt at least early on. Instead of 33 00:02:14,360 --> 00:02:16,880 Speaker 1: glass and trying to figure something out right, you did 34 00:02:16,880 --> 00:02:19,399 Speaker 1: a little more glass and type stuff and and had 35 00:02:19,440 --> 00:02:21,920 Speaker 1: more success overall on that trip. I would call my 36 00:02:21,960 --> 00:02:24,799 Speaker 1: strategy ground and pound strategy, where I wasn't glassing to 37 00:02:25,360 --> 00:02:28,480 Speaker 1: learn things for like three days later. It was like 38 00:02:28,600 --> 00:02:30,360 Speaker 1: try to put eyes onto your and make moves on 39 00:02:30,440 --> 00:02:33,960 Speaker 1: them in that sense, and it and it does what 40 00:02:34,040 --> 00:02:38,440 Speaker 1: it always does. It produces encounters, but they have a 41 00:02:38,600 --> 00:02:41,240 Speaker 1: much lower odds of success than whenever you hang in 42 00:02:41,240 --> 00:02:43,560 Speaker 1: a tree like you what you were doing. If you 43 00:02:44,040 --> 00:02:47,560 Speaker 1: it's strange how like if you're in a tree and 44 00:02:47,800 --> 00:02:51,280 Speaker 1: you encounter a buck, there's a real good chance that 45 00:02:51,360 --> 00:02:53,799 Speaker 1: you can get a shot, whereas if you're on the 46 00:02:53,880 --> 00:02:56,680 Speaker 1: ground doing that thing, there's a real good chance you 47 00:02:56,680 --> 00:03:00,120 Speaker 1: mess it up real bad. So we kind of we 48 00:03:00,120 --> 00:03:05,200 Speaker 1: employed different strategies early on there, and I think that was, um, 49 00:03:05,240 --> 00:03:06,799 Speaker 1: you know, part of the reason I struggled as I 50 00:03:07,120 --> 00:03:08,800 Speaker 1: was trying to find well then so I ended up 51 00:03:08,840 --> 00:03:12,239 Speaker 1: actually doing what you were doing and found deer, saw 52 00:03:12,320 --> 00:03:14,079 Speaker 1: quite a few deer that morning, but didn't see a shooter. 53 00:03:14,120 --> 00:03:15,359 Speaker 1: And that's that. That was kind of the issue we 54 00:03:15,520 --> 00:03:17,639 Speaker 1: run into, is like habitats kind of limited where we 55 00:03:17,760 --> 00:03:21,399 Speaker 1: where we were at and starting out, and I ended up, uh, 56 00:03:21,600 --> 00:03:24,720 Speaker 1: finding dear but not a shooter. And that's what you 57 00:03:24,720 --> 00:03:27,720 Speaker 1: you know, that's the issue. There's your shooter may not 58 00:03:27,880 --> 00:03:31,720 Speaker 1: be in a particular piece of cover, that particular piece 59 00:03:31,720 --> 00:03:34,360 Speaker 1: of cover, So now it's time to move two miles 60 00:03:34,360 --> 00:03:36,480 Speaker 1: over and do something different and find a different piece 61 00:03:36,480 --> 00:03:38,680 Speaker 1: and see if he's there. And so I was really 62 00:03:39,080 --> 00:03:43,200 Speaker 1: kind of you know, running thin on optimism at the time, 63 00:03:44,000 --> 00:03:47,080 Speaker 1: and uh, you're over here just like having the time 64 00:03:47,120 --> 00:03:51,640 Speaker 1: of your life, just boot spooking and doing all kinds 65 00:03:51,720 --> 00:03:54,200 Speaker 1: of stuff. Know if you would call it the time 66 00:03:54,200 --> 00:03:56,960 Speaker 1: of your life, because I don't know that depends on 67 00:03:56,960 --> 00:03:58,320 Speaker 1: what you call the time of your life, you know what. 68 00:03:58,440 --> 00:04:04,640 Speaker 1: That's a pretty deep concept, right, But one would say that, Um, 69 00:04:04,800 --> 00:04:08,280 Speaker 1: what makes a good vocalist is dynamic range, and maybe 70 00:04:08,320 --> 00:04:11,520 Speaker 1: that's how hunting goes to like a lot of dynamic 71 00:04:11,680 --> 00:04:14,000 Speaker 1: range in the hunt highs and lows are's a lot 72 00:04:14,000 --> 00:04:17,240 Speaker 1: of people would say, right, And so that's definitely what 73 00:04:17,279 --> 00:04:21,160 Speaker 1: I was experiencing. Um, this all this stuff that we're 74 00:04:21,160 --> 00:04:24,160 Speaker 1: talking about here, guys will be on the Mediator Channel 75 00:04:24,839 --> 00:04:30,839 Speaker 1: next summer. We're producing a white Tail travel top series. Um, 76 00:04:30,880 --> 00:04:32,760 Speaker 1: and that's what we're doing right now in South Dakota too. 77 00:04:32,839 --> 00:04:35,840 Speaker 1: But uh, which, by the way, we had we killed 78 00:04:35,839 --> 00:04:37,920 Speaker 1: two bucks? Did I can't tell you too much more. 79 00:04:38,000 --> 00:04:40,279 Speaker 1: We're actually gonna probably talk about that on our podcast 80 00:04:40,320 --> 00:04:42,080 Speaker 1: here real soon, so you can jump over the element 81 00:04:42,480 --> 00:04:46,040 Speaker 1: and listen to the story if you're interested. And speaking 82 00:04:46,080 --> 00:04:52,080 Speaker 1: of killing bucks, there's other success in the Rough Fresh crew. 83 00:04:52,240 --> 00:04:57,720 Speaker 1: As you would say, all right, Marcus Kenyon has done 84 00:04:57,720 --> 00:05:01,880 Speaker 1: it again again. I think he's killed more than one, right, yeah, 85 00:05:01,920 --> 00:05:04,160 Speaker 1: well this was his first buck. Okay, Yeah, it's a 86 00:05:04,200 --> 00:05:07,880 Speaker 1: good first buck, so um of the season. Sorry, Mark 87 00:05:08,000 --> 00:05:10,200 Speaker 1: is going to talk about that on his main show too. 88 00:05:10,240 --> 00:05:12,800 Speaker 1: But he he killed an opening weekend buck in Michigan. 89 00:05:12,920 --> 00:05:15,560 Speaker 1: It's a nicety, it's a big deer man. Yeah, I'm 90 00:05:15,600 --> 00:05:18,120 Speaker 1: I was stoked for him. Um. We're actually up here 91 00:05:18,240 --> 00:05:21,600 Speaker 1: right now, um, and we're gonna be hanging out some 92 00:05:21,760 --> 00:05:25,200 Speaker 1: with Tony. Uh. You guys know Tony Peterson probably if 93 00:05:25,200 --> 00:05:27,440 Speaker 1: you listen to this podcast, and uh, we're gonna do 94 00:05:27,520 --> 00:05:30,320 Speaker 1: some South Dakota hunting together too and talk about that 95 00:05:30,320 --> 00:05:32,400 Speaker 1: that's gonna be part of that same video series case 96 00:05:32,440 --> 00:05:34,680 Speaker 1: he was talking about that the Nebraska Hunt will be 97 00:05:34,760 --> 00:05:37,719 Speaker 1: on and that'll be three thing. So you got something 98 00:05:37,720 --> 00:05:39,800 Speaker 1: to wait on and look forward to. Uh. It's kind 99 00:05:39,800 --> 00:05:42,080 Speaker 1: of like Christmas, just a little bit farther out pretty much, 100 00:05:42,080 --> 00:05:44,960 Speaker 1: That's right. And uh, guys, I know that it's exciting 101 00:05:45,000 --> 00:05:47,360 Speaker 1: time of the year. There's all kinds of things going 102 00:05:47,560 --> 00:05:51,280 Speaker 1: running around out there in your mind, tactics and all this, 103 00:05:51,560 --> 00:05:56,080 Speaker 1: and it's actually a little cloudy because it's also the 104 00:05:56,120 --> 00:06:00,200 Speaker 1: time of year that uh, the influencer crowd tends don't 105 00:06:00,200 --> 00:06:01,880 Speaker 1: want to spit out a bunch of tips and tactics. 106 00:06:02,480 --> 00:06:05,000 Speaker 1: Don't get too bogged down that stuff. Hunt your hunt, 107 00:06:05,440 --> 00:06:08,400 Speaker 1: look at what's going on around you, perceive what the 108 00:06:08,440 --> 00:06:10,840 Speaker 1: deer doing, and make moves to kill deer. And that's 109 00:06:10,880 --> 00:06:12,800 Speaker 1: what rough fresh is all about. Right. We talked to 110 00:06:12,800 --> 00:06:15,719 Speaker 1: people from different parts of the country to try to 111 00:06:15,760 --> 00:06:18,440 Speaker 1: hone in on maybe a pattern that you also might 112 00:06:18,560 --> 00:06:21,839 Speaker 1: see that will help you kill deer. Right, and um, 113 00:06:21,839 --> 00:06:25,240 Speaker 1: optimism is high, but realism is important. Right. This is 114 00:06:25,240 --> 00:06:27,919 Speaker 1: where this is actually the contrast that Tyler and Casey have. 115 00:06:28,400 --> 00:06:30,520 Speaker 1: Casey's a little bit too much of an optimist. Tyler, 116 00:06:30,600 --> 00:06:31,680 Speaker 1: I don't know if you can be too much for 117 00:06:31,760 --> 00:06:34,560 Speaker 1: realist because it is real, right, it tends to really 118 00:06:34,800 --> 00:06:38,839 Speaker 1: too much realism actually turns to a negative context sometimes, 119 00:06:38,839 --> 00:06:40,920 Speaker 1: I think. Or it's easy to do, so you can 120 00:06:40,960 --> 00:06:42,640 Speaker 1: do that. We balance each other out with like a 121 00:06:42,680 --> 00:06:45,800 Speaker 1: conservative optimism pretty much. Uh, and it works out pretty good. 122 00:06:45,880 --> 00:06:49,240 Speaker 1: So be optimistic, be excited about deer season, right, but 123 00:06:49,480 --> 00:06:52,600 Speaker 1: don't don't go in there saying it's an eleven out 124 00:06:52,600 --> 00:06:55,000 Speaker 1: of ten on October tenth. Whenever you have a buck 125 00:06:55,000 --> 00:06:57,200 Speaker 1: moving at three am on your trail camera, right, that's 126 00:06:57,240 --> 00:06:59,240 Speaker 1: that's not what it is. You're just excited, you know. 127 00:06:59,360 --> 00:07:02,160 Speaker 1: That's the thing is you definitely want to be I 128 00:07:02,160 --> 00:07:04,800 Speaker 1: don't know, fomo is high this time of year because 129 00:07:04,839 --> 00:07:07,120 Speaker 1: there are people killing deer. The thing is, you've got 130 00:07:07,120 --> 00:07:09,840 Speaker 1: the right property, then the deer is just you know, 131 00:07:09,920 --> 00:07:12,800 Speaker 1: he's just preseason hanging out on your property. If you 132 00:07:12,800 --> 00:07:14,680 Speaker 1: don't have the right property, then you need to wait 133 00:07:14,680 --> 00:07:16,840 Speaker 1: for the rut. That's what, plain and simple. You know. 134 00:07:17,880 --> 00:07:19,560 Speaker 1: You know, there are a few guys that we're gonna 135 00:07:19,560 --> 00:07:22,800 Speaker 1: talk to this week that have, um, I guess the 136 00:07:22,880 --> 00:07:25,559 Speaker 1: right property or they're on the right property right. Michael 137 00:07:25,600 --> 00:07:27,840 Speaker 1: Hunt Sucker from Harlan Bow Hunter. You guys will hear 138 00:07:27,840 --> 00:07:31,560 Speaker 1: about his Ohio buck. Uh. Are your buddy Roy Stron 139 00:07:32,080 --> 00:07:35,560 Speaker 1: h Academy workers. Uh, he's he's out of Texas. He 140 00:07:35,760 --> 00:07:38,600 Speaker 1: has a really interesting story as well for you this week. 141 00:07:38,880 --> 00:07:41,160 Speaker 1: Matt Ross from the n d A. He's up in 142 00:07:41,160 --> 00:07:44,800 Speaker 1: the New York area for all the Northeasterners, He's gonna 143 00:07:45,040 --> 00:07:48,320 Speaker 1: uh crush your hopes. And then uh, Christian Babcock, our 144 00:07:48,400 --> 00:07:52,880 Speaker 1: buddy from Oklahoma. UM has a really cool story of 145 00:07:52,920 --> 00:07:55,960 Speaker 1: a big old toad buck that he shot so hopefully 146 00:07:56,040 --> 00:07:57,600 Speaker 1: this stuff will help you out. Let's give him a 147 00:07:57,640 --> 00:08:02,800 Speaker 1: little extra here. As so we've hunted Nebraska this week, Uh, 148 00:08:02,880 --> 00:08:06,040 Speaker 1: kind of give some of that like plain stuff. Uh, 149 00:08:06,160 --> 00:08:09,560 Speaker 1: if you were to predict buck movement for Nebraska for 150 00:08:09,600 --> 00:08:12,040 Speaker 1: the next week, what would you foresee it being like? 151 00:08:12,160 --> 00:08:14,960 Speaker 1: And tell me why, Well, we've got a cold front 152 00:08:15,000 --> 00:08:17,280 Speaker 1: coming in, and I think that what it's gonna do, 153 00:08:18,120 --> 00:08:21,760 Speaker 1: uh for these deer. They've had pretty hot weather, hot 154 00:08:21,800 --> 00:08:25,480 Speaker 1: evenings especially, and what I have seen is that these 155 00:08:25,520 --> 00:08:29,080 Speaker 1: deer are moving literally ten minutes of shooting light left 156 00:08:29,160 --> 00:08:31,360 Speaker 1: a lot of times. I think what you're gonna get 157 00:08:31,400 --> 00:08:33,480 Speaker 1: is that when this front, when these fronts pushing in, 158 00:08:33,520 --> 00:08:36,959 Speaker 1: not only cold weather, but overcast evenings, which is gonna 159 00:08:36,960 --> 00:08:40,720 Speaker 1: make you know, make dear at least think that maybe 160 00:08:40,720 --> 00:08:43,839 Speaker 1: it's later than it is. Right. Um, they're they're out 161 00:08:43,840 --> 00:08:45,880 Speaker 1: there all the time, so they're not easily fooled in that, 162 00:08:46,040 --> 00:08:48,760 Speaker 1: but they there is a couple of minutes there that 163 00:08:48,760 --> 00:08:51,400 Speaker 1: can help you out if you're, you know, needing some 164 00:08:51,480 --> 00:08:53,600 Speaker 1: extra time. You're that deer that you've seen is coming 165 00:08:53,920 --> 00:08:57,079 Speaker 1: you know late, he's coming right after shooting light. So 166 00:08:57,480 --> 00:09:02,160 Speaker 1: I would say scale one to ten, um based off 167 00:09:02,160 --> 00:09:05,679 Speaker 1: of what my hunt was, I would say we're looking 168 00:09:05,720 --> 00:09:09,000 Speaker 1: at probably somewhere in the five range with that weather 169 00:09:09,000 --> 00:09:10,960 Speaker 1: coming in, because it's gonna change patterns and it's gonna 170 00:09:10,960 --> 00:09:13,800 Speaker 1: make a move. You just gotta you just gotta find them. 171 00:09:13,840 --> 00:09:15,600 Speaker 1: And that's what I was struggling to do. Yeah, I 172 00:09:15,640 --> 00:09:18,120 Speaker 1: think that that was exactly the number I was going 173 00:09:18,160 --> 00:09:20,720 Speaker 1: forward to, kind of right in the middle Man, Middle America, 174 00:09:20,880 --> 00:09:25,160 Speaker 1: middle numbers. That's what Nebraska. Yes, yeah, that's right. Food 175 00:09:25,200 --> 00:09:27,400 Speaker 1: sources are still gonna be huge. It's a dry, dry 176 00:09:27,520 --> 00:09:31,280 Speaker 1: year up here in the plains. Uh, So find water, 177 00:09:31,600 --> 00:09:34,679 Speaker 1: fine food, and you will find bucks. Uh. And I 178 00:09:34,720 --> 00:09:38,440 Speaker 1: would say mornings still, I think that overall, I saw 179 00:09:38,600 --> 00:09:40,559 Speaker 1: better action in the mornings. I think that a lot 180 00:09:40,559 --> 00:09:43,040 Speaker 1: of the deer holding tight to bedding until the sun 181 00:09:43,080 --> 00:09:46,000 Speaker 1: goes down. That can change, like you were saying, though, 182 00:09:46,040 --> 00:09:48,880 Speaker 1: with some cooler temps, some overcast weather, it could get 183 00:09:48,960 --> 00:09:51,800 Speaker 1: really really nice. And guys like I want us to 184 00:09:51,800 --> 00:09:54,640 Speaker 1: be real about what these numbers mean to us. At least, Uh, 185 00:09:54,640 --> 00:09:58,640 Speaker 1: a five is a really good number for why tel hunting. Like, Uh, 186 00:09:58,720 --> 00:10:00,920 Speaker 1: the best rout day in my life was probably a nine, 187 00:10:01,200 --> 00:10:03,920 Speaker 1: you know, And that's so like you can't personally, I 188 00:10:03,960 --> 00:10:06,600 Speaker 1: can't throw out a seven or eight very you know, 189 00:10:06,679 --> 00:10:09,960 Speaker 1: with much conscience because it's a little bit um that's 190 00:10:10,200 --> 00:10:11,800 Speaker 1: those are kind of like sacred numbers, you know what 191 00:10:11,880 --> 00:10:15,400 Speaker 1: I mean, get up there high. So so feel good 192 00:10:15,400 --> 00:10:17,520 Speaker 1: about it. Five for sure. We've got some seven or 193 00:10:17,520 --> 00:10:19,600 Speaker 1: eights in this forecast for you. So let's listen to 194 00:10:19,640 --> 00:10:22,360 Speaker 1: these guys. Tell us why you should be out in 195 00:10:22,400 --> 00:10:26,200 Speaker 1: the woods. Okay, on the phone. Now we've got Michael 196 00:10:26,240 --> 00:10:28,960 Speaker 1: hunt Sucker from Harlan Bow Hunter. Michael, you've been in 197 00:10:29,559 --> 00:10:34,520 Speaker 1: Ohio recently and you've had some success, is that right? Yeah? Yeah, 198 00:10:34,559 --> 00:10:36,640 Speaker 1: I just got back a couple of days ago, uh 199 00:10:36,800 --> 00:10:42,160 Speaker 1: day before yesterday. Well, so how did this hunt go down? 200 00:10:42,200 --> 00:10:43,920 Speaker 1: It it looked like it was a different kind of 201 00:10:43,920 --> 00:10:47,360 Speaker 1: habitat or different type of country than you normally are hunting. Yeah, 202 00:10:47,480 --> 00:10:50,040 Speaker 1: absolutely so. Um actually it was it was a hunt 203 00:10:50,280 --> 00:10:52,920 Speaker 1: that we did a giveaway with Trophy Rock and the 204 00:10:52,960 --> 00:10:56,040 Speaker 1: guys at Redmond Hunt and um, so we had a 205 00:10:56,120 --> 00:10:59,320 Speaker 1: hunt winner. Um that that one the giveaway and we 206 00:10:59,360 --> 00:11:01,760 Speaker 1: got them all out and then and um, we're basically 207 00:11:01,800 --> 00:11:03,360 Speaker 1: going to do this hunt in Ohio, so we chose 208 00:11:03,480 --> 00:11:08,000 Speaker 1: to do opening week um out there in Ohio and UM, 209 00:11:08,040 --> 00:11:11,240 Speaker 1: some of the Redmond guys um you know, live out 210 00:11:11,280 --> 00:11:13,199 Speaker 1: there in that area and have been hunting that area, 211 00:11:13,200 --> 00:11:15,400 Speaker 1: and so they have a few different properties, but they 212 00:11:15,480 --> 00:11:18,160 Speaker 1: hunt and UM it's kind of in the foothills of 213 00:11:18,160 --> 00:11:21,760 Speaker 1: the Appalachian Mountains. UM, kind of in southeast Ohio there 214 00:11:21,760 --> 00:11:23,839 Speaker 1: and uh so it was pretty cool. It was unique 215 00:11:23,840 --> 00:11:26,800 Speaker 1: for me, just different than what, um, what I've hunted before. 216 00:11:26,840 --> 00:11:29,760 Speaker 1: I want to hunt in Ohio one time before. UM, 217 00:11:29,800 --> 00:11:32,720 Speaker 1: but a lot of reminded me of being from Missouri. 218 00:11:33,120 --> 00:11:35,520 Speaker 1: Was hunting like down at the Ozarks and the Ozark 219 00:11:35,559 --> 00:11:38,760 Speaker 1: Mountains as we call them here. So just a lot 220 00:11:38,800 --> 00:11:42,840 Speaker 1: of steep terrain, a lot of timber um and for 221 00:11:43,040 --> 00:11:46,439 Speaker 1: early season that can be extremely difficult, and it proved 222 00:11:46,440 --> 00:11:51,520 Speaker 1: to be especially starting out. UM, just acorns dropping everywhere, 223 00:11:51,880 --> 00:11:54,800 Speaker 1: and deer didn't really have to go far. You know, 224 00:11:55,000 --> 00:11:57,400 Speaker 1: they love they love those acorns, even though they're not 225 00:11:57,480 --> 00:12:00,920 Speaker 1: the most nutritional. So it's a comment scenario. A lot 226 00:12:00,920 --> 00:12:04,760 Speaker 1: of hunters run into where it's feast or famine with acorns, 227 00:12:05,200 --> 00:12:08,199 Speaker 1: where there's either just one good feet tree and it's awesome, 228 00:12:08,360 --> 00:12:11,000 Speaker 1: or there's so many that you can't really target a 229 00:12:11,000 --> 00:12:15,080 Speaker 1: specific spot. How did you navigate that? Yeah? So for 230 00:12:15,200 --> 00:12:17,840 Speaker 1: us it was, um, you know it was it was 231 00:12:17,880 --> 00:12:21,400 Speaker 1: a pretty um one of the areas that was not 232 00:12:21,400 --> 00:12:24,600 Speaker 1: not affected by drought much. So really good acorn crop, 233 00:12:24,679 --> 00:12:27,880 Speaker 1: it seemed. Um. So the red oaks and the white 234 00:12:27,880 --> 00:12:30,800 Speaker 1: Oaks are like, we're both dropping like crazy, and so 235 00:12:31,640 --> 00:12:35,040 Speaker 1: you know, we um, we hunted the first first few days. 236 00:12:35,080 --> 00:12:37,280 Speaker 1: I always try to be I'm a pretty cautious white 237 00:12:37,320 --> 00:12:39,480 Speaker 1: jil hunter. UM. I don't like just like bombing in 238 00:12:39,559 --> 00:12:42,040 Speaker 1: and you know, just hiking around in the wood looking 239 00:12:42,040 --> 00:12:44,400 Speaker 1: for an acorn tree, um and bumping deer. I it's 240 00:12:44,440 --> 00:12:45,960 Speaker 1: not just not a fan of that. I kind of 241 00:12:46,000 --> 00:12:49,520 Speaker 1: like this, you know, uh, start off, he'sing my way in. 242 00:12:49,920 --> 00:12:51,160 Speaker 1: And so that's kind of what we did. And we 243 00:12:51,200 --> 00:12:53,480 Speaker 1: just didn't weren't seeing the deer, and we hunted some. 244 00:12:53,600 --> 00:12:56,080 Speaker 1: They had some small food plots and I'm talking small 245 00:12:56,120 --> 00:12:58,480 Speaker 1: small half acre, quarter acre, little clearings in the in 246 00:12:58,480 --> 00:13:02,679 Speaker 1: the woods. Uh um. And so you know we realized 247 00:13:02,679 --> 00:13:04,800 Speaker 1: that like, okay, like if we're not seeing a beer here, 248 00:13:05,080 --> 00:13:06,400 Speaker 1: you know they're they're not making it to the food 249 00:13:06,400 --> 00:13:09,320 Speaker 1: plot before darker. It's got to be an acorn deal, 250 00:13:09,400 --> 00:13:11,920 Speaker 1: and so you know, we we ended up doing a 251 00:13:11,920 --> 00:13:13,920 Speaker 1: little bit of that, you know, kind of just on 252 00:13:13,960 --> 00:13:17,320 Speaker 1: the boots on the ground scouting and um, you know, 253 00:13:17,360 --> 00:13:20,040 Speaker 1: we found some spots, but but we ended up doing 254 00:13:20,040 --> 00:13:22,400 Speaker 1: a hanging hunt on a on a big acorn flat 255 00:13:22,440 --> 00:13:24,720 Speaker 1: that we found and just didn't see the deer. We 256 00:13:24,760 --> 00:13:28,520 Speaker 1: just didn't didn't see the movement that we were hoping. So, um, 257 00:13:28,559 --> 00:13:30,079 Speaker 1: it just kind of got to the point to where 258 00:13:30,200 --> 00:13:33,880 Speaker 1: we were kind of scratching our heads. So at that point, 259 00:13:34,640 --> 00:13:37,800 Speaker 1: how do you end up finishing this thing off? So 260 00:13:38,200 --> 00:13:41,600 Speaker 1: you know, just about the point in time where I was, 261 00:13:41,960 --> 00:13:45,000 Speaker 1: you know, questioning because is it is never gonna work out? 262 00:13:45,040 --> 00:13:48,760 Speaker 1: We actually had our very first stand that we hung 263 00:13:49,000 --> 00:13:53,360 Speaker 1: was on a ridge top basically, um, I don't know, 264 00:13:54,120 --> 00:13:57,440 Speaker 1: a quarter mile from this food plot, and it was 265 00:13:57,440 --> 00:14:00,720 Speaker 1: a good terrain feature. Um. You know, I was looking 266 00:14:00,760 --> 00:14:03,320 Speaker 1: at the three D version of on X on the 267 00:14:03,320 --> 00:14:06,240 Speaker 1: web browser and you could see you can exaggerate the 268 00:14:06,280 --> 00:14:08,000 Speaker 1: train even on there, and so you could really see 269 00:14:08,040 --> 00:14:10,439 Speaker 1: these little saddles in these ridges. And we hung a 270 00:14:10,520 --> 00:14:13,800 Speaker 1: set on this ridge that kind of transitioned, um, from 271 00:14:13,920 --> 00:14:15,760 Speaker 1: a couple of different food plots. Basically there was two 272 00:14:15,800 --> 00:14:17,720 Speaker 1: food plots and there was a road system that kind 273 00:14:17,760 --> 00:14:21,680 Speaker 1: of led to this this ridge. Well, um, we had 274 00:14:21,680 --> 00:14:23,720 Speaker 1: a camera that I put on this old logging road 275 00:14:24,120 --> 00:14:25,920 Speaker 1: below the ridge, below the stand that we hung. I 276 00:14:26,000 --> 00:14:30,120 Speaker 1: checked that camera and the biggest deer that we I've 277 00:14:30,120 --> 00:14:32,880 Speaker 1: had pictures of, um, and they were running cameras before, 278 00:14:32,960 --> 00:14:35,240 Speaker 1: you know, before we got out there. But the biggest 279 00:14:35,240 --> 00:14:37,000 Speaker 1: deer that we had pictures of was on that camera. 280 00:14:37,080 --> 00:14:40,000 Speaker 1: Two nights in a row, and the first night was 281 00:14:40,120 --> 00:14:42,000 Speaker 1: after dark, like the thirty minutes after dark, and then 282 00:14:42,040 --> 00:14:44,920 Speaker 1: the second night was like thirty minutes before h or 283 00:14:45,080 --> 00:14:47,880 Speaker 1: right at sunsets the thirty minutes before shooting time. So 284 00:14:48,000 --> 00:14:50,480 Speaker 1: we were all pumped and got all excited and hunted 285 00:14:50,520 --> 00:14:52,640 Speaker 1: that stand for two days straight and did not see 286 00:14:52,640 --> 00:14:56,560 Speaker 1: the de here. Just like it was. It was the 287 00:14:56,600 --> 00:14:59,640 Speaker 1: typical like uh, roller coaster of bow hunting, right, I mean, 288 00:14:59,680 --> 00:15:01,840 Speaker 1: just like we're pumped to get there, got excited, I 289 00:15:01,920 --> 00:15:03,840 Speaker 1: didn't see anything. We're kind of like, okay, we're kind 290 00:15:03,840 --> 00:15:05,400 Speaker 1: of in the low, like this kind of sucks. This 291 00:15:05,440 --> 00:15:06,600 Speaker 1: is gonna be a tough hunt. Then you get the 292 00:15:06,600 --> 00:15:08,760 Speaker 1: trail camp pictures were ecksided, and then no, don't see 293 00:15:08,760 --> 00:15:15,080 Speaker 1: anything um. But as we had hunted that other stand 294 00:15:15,160 --> 00:15:18,080 Speaker 1: up the last few days, the buck I end up 295 00:15:18,200 --> 00:15:22,560 Speaker 1: killing daylighted in the food plot that that we had 296 00:15:22,600 --> 00:15:25,600 Speaker 1: hunted earlier in the hunt. And so I was like, okay, 297 00:15:25,640 --> 00:15:28,680 Speaker 1: like this is it. Tomorrow's our last day, Like, let's 298 00:15:28,680 --> 00:15:30,200 Speaker 1: see if we can get this deer killed. You know, 299 00:15:30,240 --> 00:15:32,280 Speaker 1: Willie come back in the day like a second day 300 00:15:32,320 --> 00:15:34,640 Speaker 1: who knows. But it's a pretty secluded food plot, like 301 00:15:34,680 --> 00:15:36,320 Speaker 1: on top of the ridge, like back in the timber, 302 00:15:36,400 --> 00:15:38,960 Speaker 1: so it's like, you know, close to close to bedding, 303 00:15:38,960 --> 00:15:41,960 Speaker 1: close to plenty of acorns and stuff. So um. The 304 00:15:42,000 --> 00:15:43,960 Speaker 1: only problem was the wind was sketchy, and so I 305 00:15:44,040 --> 00:15:46,840 Speaker 1: was like, man, I just don't look like we there 306 00:15:46,840 --> 00:15:48,800 Speaker 1: were We had to stand on the food plot already, 307 00:15:49,440 --> 00:15:50,960 Speaker 1: and I was like, I know that's not gonna work. 308 00:15:51,000 --> 00:15:53,520 Speaker 1: Literally completely opposite wrong wind. And I was like, we 309 00:15:53,520 --> 00:15:55,280 Speaker 1: could hang on the opposite side of the food plot. 310 00:15:55,480 --> 00:15:58,160 Speaker 1: It's a small food plot, so literally a hundred yards away, 311 00:15:59,000 --> 00:16:02,280 Speaker 1: and the wind is still gonna be marginal at best. 312 00:16:02,600 --> 00:16:04,880 Speaker 1: But if they come from the you know, the direction 313 00:16:04,920 --> 00:16:07,160 Speaker 1: I chinked the bucks for coming like it might work. Well, 314 00:16:07,240 --> 00:16:09,440 Speaker 1: we'll see if the wind doesn't swirl right. I mean 315 00:16:09,480 --> 00:16:12,000 Speaker 1: that's like the the thing about that area, like with 316 00:16:12,040 --> 00:16:17,640 Speaker 1: the train and like literally swirly as it gets. Man, 317 00:16:17,720 --> 00:16:21,840 Speaker 1: that's awesome. So you ended up shooting an awesome deer there, man, 318 00:16:22,000 --> 00:16:25,880 Speaker 1: and UH had a great time. I'm sure. Uh. Sometimes 319 00:16:25,880 --> 00:16:27,960 Speaker 1: the challenging hunts are are like that. Man, they they 320 00:16:29,120 --> 00:16:31,160 Speaker 1: they're tough when you're there, but after you look back 321 00:16:31,160 --> 00:16:33,200 Speaker 1: at you're like, man, that was that was awesome. That's 322 00:16:33,200 --> 00:16:35,200 Speaker 1: why we do this, you know, the challenge ourselves. So 323 00:16:35,600 --> 00:16:38,520 Speaker 1: you know, if if based off of what you saw 324 00:16:38,600 --> 00:16:41,520 Speaker 1: there and uh, and how your experience went and what 325 00:16:41,640 --> 00:16:44,560 Speaker 1: you think, you know, the future weather patterns or whatever 326 00:16:44,680 --> 00:16:47,280 Speaker 1: look like they're um on scale of one to ten, 327 00:16:47,400 --> 00:16:49,560 Speaker 1: how would you feel like next week would be. Would 328 00:16:49,560 --> 00:16:51,520 Speaker 1: it be even better or or do you think it'd 329 00:16:51,520 --> 00:16:53,840 Speaker 1: be tougher? Um, you know, I think it's gonna be. 330 00:16:53,920 --> 00:16:56,320 Speaker 1: It's gonna be a little bit tougher early next week. 331 00:16:56,320 --> 00:16:59,880 Speaker 1: It's the weather is just is not looking the greatest 332 00:17:00,080 --> 00:17:02,680 Speaker 1: and so um, it's gonna be a little bit warmer 333 00:17:02,720 --> 00:17:05,000 Speaker 1: the first early part of the week, but there is 334 00:17:04,720 --> 00:17:08,199 Speaker 1: a good cold snap coming and um, so you know, 335 00:17:08,320 --> 00:17:10,600 Speaker 1: I would say, if you're gonna if you only have 336 00:17:10,800 --> 00:17:12,440 Speaker 1: a certain amount of time to hunt. I would key 337 00:17:12,480 --> 00:17:14,560 Speaker 1: in towards that later later part of the week. But 338 00:17:14,680 --> 00:17:17,080 Speaker 1: that being said, the deer moving, I mean they're they're 339 00:17:17,119 --> 00:17:21,040 Speaker 1: moving in daylight, and they're you know, um, I think 340 00:17:21,040 --> 00:17:23,399 Speaker 1: it's gonna be good. That cold front and those you know, 341 00:17:23,440 --> 00:17:25,359 Speaker 1: early October cold front is gonna be money if you 342 00:17:25,440 --> 00:17:27,480 Speaker 1: kind of just be patient away for the right time. 343 00:17:27,560 --> 00:17:29,720 Speaker 1: So I would say the end of next week. I 344 00:17:29,840 --> 00:17:34,320 Speaker 1: put her at a probably a probably an eighty eight. Baby. 345 00:17:34,359 --> 00:17:37,520 Speaker 1: That's good, man, and it gets me hot. That's cool, dude. Well, 346 00:17:37,600 --> 00:17:39,840 Speaker 1: appreciate the time, Michael, and I hope you have a 347 00:17:39,840 --> 00:17:42,840 Speaker 1: great the rest of the season. Man. Thanks, guys, appreciate it. 348 00:17:44,119 --> 00:17:46,159 Speaker 1: On the phone, now we've got Matt Ross. He is 349 00:17:46,200 --> 00:17:49,560 Speaker 1: the director of Conservation for the n DA. Matt, what's happening, dude, 350 00:17:50,280 --> 00:17:52,199 Speaker 1: what's going on, Cassie. I'm doing pretty good up here 351 00:17:52,240 --> 00:17:55,120 Speaker 1: in New York. Oh, well, it is a little rainy here. 352 00:17:55,200 --> 00:17:57,600 Speaker 1: We're in South Dakota trying to chase the deer around. 353 00:17:57,640 --> 00:17:59,320 Speaker 1: But I know you've been chasing around a few deer 354 00:17:59,359 --> 00:18:01,800 Speaker 1: there in New York. Can you always have the tabs 355 00:18:01,920 --> 00:18:05,360 Speaker 1: on the deer right? So by profession. You are a 356 00:18:05,440 --> 00:18:09,560 Speaker 1: wildlife bologists. Correct, correct? Yeah, So what is going on 357 00:18:09,680 --> 00:18:13,360 Speaker 1: in the deerwoods right now? Man? Well, where i I'm 358 00:18:13,400 --> 00:18:15,720 Speaker 1: I live and work out of the Northeast. I've I've 359 00:18:15,800 --> 00:18:19,560 Speaker 1: hunted New Hampshire, Massachusetts when I was living there, But 360 00:18:19,680 --> 00:18:21,760 Speaker 1: right now in the New York State, across most of 361 00:18:21,840 --> 00:18:26,159 Speaker 1: the Northeast anyway, UM falls is full on effect. I 362 00:18:26,200 --> 00:18:29,280 Speaker 1: mean we're seeing leaves changing and food sources are changing. 363 00:18:29,320 --> 00:18:32,800 Speaker 1: What deer doing is they're changing. This is this is 364 00:18:32,840 --> 00:18:36,480 Speaker 1: a major time when their food availability is a major 365 00:18:36,560 --> 00:18:40,680 Speaker 1: shift and people start seeing changes and what deerre doing, 366 00:18:40,720 --> 00:18:44,640 Speaker 1: and they're really starting to focus on those changes of food. UM. 367 00:18:44,760 --> 00:18:48,320 Speaker 1: A lot of it is hard mass availability, UM. Some 368 00:18:48,400 --> 00:18:51,159 Speaker 1: of its soft mass. This is when they're they're getting 369 00:18:51,200 --> 00:18:54,680 Speaker 1: off of Forbes and trying to find those fruits, either 370 00:18:54,760 --> 00:18:58,200 Speaker 1: hard foods or soft fruits. De're hitting acorns, the ones 371 00:18:58,200 --> 00:19:01,320 Speaker 1: that are dropping beach snuts in some cases where you 372 00:19:01,400 --> 00:19:04,960 Speaker 1: got beach um. And there was a lot of early 373 00:19:05,040 --> 00:19:08,640 Speaker 1: drop of apples this year across the Northeast. A lot 374 00:19:08,680 --> 00:19:11,320 Speaker 1: lots of apples were coming down early UM, and so 375 00:19:11,359 --> 00:19:15,080 Speaker 1: they're they're focusing on that. So for a guy from Texas. 376 00:19:15,320 --> 00:19:20,240 Speaker 1: What is early for apples? What is early for apples? Well, 377 00:19:20,359 --> 00:19:23,679 Speaker 1: right now, like we're starting to see, um, some of 378 00:19:23,680 --> 00:19:26,119 Speaker 1: the some of the apple varieties already started to hit 379 00:19:26,160 --> 00:19:30,000 Speaker 1: the ground. That's that seems kind of early. Um. You know, 380 00:19:30,080 --> 00:19:34,080 Speaker 1: so a lot of the wild apple trees will drop 381 00:19:34,359 --> 00:19:38,760 Speaker 1: in September and early October across the Northeast. But there 382 00:19:38,800 --> 00:19:41,080 Speaker 1: are some persistent varieties out there. I mean, I don't 383 00:19:41,080 --> 00:19:43,600 Speaker 1: know all the names of the different apple trees, but um, 384 00:19:43,680 --> 00:19:46,160 Speaker 1: the ones that are in the wild. But occasionally you'll 385 00:19:46,160 --> 00:19:48,240 Speaker 1: find trees that will hold later, but most of will 386 00:19:48,320 --> 00:19:50,679 Speaker 1: drop earlier this time of year. Yeah, so you actually 387 00:19:50,680 --> 00:19:55,000 Speaker 1: had some success recently, and I'm interested in knowing if 388 00:19:55,040 --> 00:19:59,199 Speaker 1: this was an apple deer or otherwise. No, it was 389 00:19:59,280 --> 00:20:05,080 Speaker 1: a was an acorn beach nut. Dear. Our season just opened, Tyler, 390 00:20:05,359 --> 00:20:08,200 Speaker 1: Uh this past weekend on Saturday. So I haven't really 391 00:20:08,240 --> 00:20:12,000 Speaker 1: spent a lot of time a field, but um, I 392 00:20:12,040 --> 00:20:14,399 Speaker 1: have got got luck. First set hour and a half 393 00:20:14,600 --> 00:20:17,640 Speaker 1: into the to the first set, deer have been filtering 394 00:20:17,680 --> 00:20:21,240 Speaker 1: through the woods, UM feed on these acorns and some 395 00:20:21,560 --> 00:20:23,720 Speaker 1: beech nuts, and I knew that they were I have 396 00:20:23,800 --> 00:20:27,320 Speaker 1: a camera out there and uh, dough family group came through. 397 00:20:27,760 --> 00:20:30,960 Speaker 1: UM three to four individuals tried tried to shoot the 398 00:20:31,600 --> 00:20:34,560 Speaker 1: big mammoth dough that have been trying to kill a 399 00:20:34,640 --> 00:20:38,040 Speaker 1: couple of years, but she she was onto me, and uh, 400 00:20:38,080 --> 00:20:41,280 Speaker 1: I just took took what what was you know was presented? 401 00:20:41,359 --> 00:20:43,560 Speaker 1: So UH killed the nice three and a half year 402 00:20:43,560 --> 00:20:47,440 Speaker 1: old dough on Sunday morning, Thank you very much. The 403 00:20:47,480 --> 00:20:49,920 Speaker 1: kids were able to help track and and do all 404 00:20:49,960 --> 00:20:52,000 Speaker 1: the things because we was right behind the house. Man 405 00:20:52,040 --> 00:20:54,960 Speaker 1: is there? That's fun? So is that something like a 406 00:20:55,000 --> 00:20:57,240 Speaker 1: perennial pattern that you see there behind the house and 407 00:20:57,240 --> 00:20:59,679 Speaker 1: you can kind of always plan on targeting that, you know, 408 00:20:59,720 --> 00:21:03,919 Speaker 1: hard mask there? Uh in early October? Yeah, and it 409 00:21:04,119 --> 00:21:06,760 Speaker 1: I only really have about two weeks to do it. Um. 410 00:21:06,840 --> 00:21:10,719 Speaker 1: Usually about mid October they completely abandoned that pattern and 411 00:21:10,800 --> 00:21:14,160 Speaker 1: so UM, I had to hit it hard, hard and fast. 412 00:21:14,200 --> 00:21:16,119 Speaker 1: So I have my plan and the weather is not 413 00:21:16,240 --> 00:21:19,320 Speaker 1: bad this time of year. We actually had a freeze 414 00:21:19,359 --> 00:21:22,160 Speaker 1: warning last night, but I didn't get that cold. Um. 415 00:21:22,160 --> 00:21:24,960 Speaker 1: But in about two weeks, they really do abandon the 416 00:21:24,960 --> 00:21:27,639 Speaker 1: back the back of our property and they shift to 417 00:21:27,680 --> 00:21:31,280 Speaker 1: a different different parts. So so that I got it done. Yeah, 418 00:21:31,280 --> 00:21:34,520 Speaker 1: it's awesome, dude. Congrats you got meat for the fall now, 419 00:21:34,720 --> 00:21:38,119 Speaker 1: and I would imagine that some focus after fulfilling that 420 00:21:38,160 --> 00:21:41,720 Speaker 1: task would shift to Bucks. Correct correct correct, and UH 421 00:21:42,440 --> 00:21:45,960 Speaker 1: been been paying attention to your uh foibles and uh 422 00:21:46,320 --> 00:21:49,000 Speaker 1: journey that you guys. You guys had some success. So 423 00:21:49,119 --> 00:21:51,920 Speaker 1: congrats to both of you. Thanks man, I appreciate that. Dude. 424 00:21:51,920 --> 00:21:54,399 Speaker 1: It's a it's a weird time of year because bucks 425 00:21:54,440 --> 00:21:57,200 Speaker 1: are holding tight, but if you can get on them, man, 426 00:21:57,240 --> 00:22:00,720 Speaker 1: it's it's fun. So uh, now, looking forward to what 427 00:22:00,920 --> 00:22:02,920 Speaker 1: you have going on, you know, say the next week 428 00:22:02,960 --> 00:22:07,720 Speaker 1: there in New York as maybe some of these apples 429 00:22:07,880 --> 00:22:10,520 Speaker 1: start to drop in the in the hard mass might 430 00:22:10,600 --> 00:22:13,280 Speaker 1: start to kind of dry up. Um, what do you 431 00:22:13,320 --> 00:22:16,480 Speaker 1: predict buck movement to be? Like? Uh going forward here? 432 00:22:16,520 --> 00:22:18,880 Speaker 1: If if you can give me like a rating from 433 00:22:18,880 --> 00:22:21,800 Speaker 1: one to ten, it's still going to be pretty low 434 00:22:21,880 --> 00:22:25,200 Speaker 1: on on movement. You're not gonna start you won't see 435 00:22:25,600 --> 00:22:28,080 Speaker 1: some of the activity where their home range you know, 436 00:22:28,400 --> 00:22:30,920 Speaker 1: blows up and you start seeing a lot more visibility. 437 00:22:30,960 --> 00:22:32,560 Speaker 1: And in fact, this is the time of year they 438 00:22:32,600 --> 00:22:35,199 Speaker 1: get more reclusive or at least it feels like they 439 00:22:35,359 --> 00:22:40,840 Speaker 1: begin becoming uh more nocturnal. Or going underground UM part 440 00:22:40,880 --> 00:22:44,720 Speaker 1: of its food. UM testosterone is starting to go up. 441 00:22:45,160 --> 00:22:48,320 Speaker 1: My plan is to continue to try to focus on 442 00:22:48,840 --> 00:22:52,840 Speaker 1: where they're betting UM, but where they're betting closer to 443 00:22:52,880 --> 00:22:56,680 Speaker 1: those new food sources. So abandon everything that you saw 444 00:22:57,480 --> 00:23:01,400 Speaker 1: um late summer and the probably you know, September weeks 445 00:23:01,720 --> 00:23:04,040 Speaker 1: and really try to go to where the food is 446 00:23:04,119 --> 00:23:06,720 Speaker 1: now and then look for the closest betting to that 447 00:23:07,560 --> 00:23:10,280 Speaker 1: food now. Up here is again those fruits I just 448 00:23:10,320 --> 00:23:13,320 Speaker 1: talked about, and betting would be probably more of like 449 00:23:13,359 --> 00:23:17,560 Speaker 1: your woodland swamps, cutovers, those kinds of places we've done 450 00:23:17,600 --> 00:23:20,359 Speaker 1: something even each timber management on on one of the 451 00:23:20,400 --> 00:23:23,560 Speaker 1: properties that I liked on And so those are two 452 00:23:23,640 --> 00:23:26,560 Speaker 1: year old clear cuts. Um the deer, we're gonna still 453 00:23:26,600 --> 00:23:28,600 Speaker 1: bet in those and just filter out and try to 454 00:23:28,680 --> 00:23:32,240 Speaker 1: hit those acorns or apples cool, So one to tea 455 00:23:32,280 --> 00:23:37,000 Speaker 1: and what do you think? All right? That's low? Honestly, man, 456 00:23:37,040 --> 00:23:39,720 Speaker 1: I appreciate some realism here. I think guys tend to 457 00:23:39,760 --> 00:23:41,399 Speaker 1: get kind of excited and they always want to throw 458 00:23:41,400 --> 00:23:43,800 Speaker 1: out these hot numbers because season is starting. But you 459 00:23:43,840 --> 00:23:47,399 Speaker 1: know that's that really is probably a pretty uh good 460 00:23:47,520 --> 00:23:50,040 Speaker 1: number to look at there so appreciate the information. Matt. 461 00:23:50,080 --> 00:23:51,520 Speaker 1: I hope you have a great rest of the season 462 00:23:51,560 --> 00:23:54,520 Speaker 1: and good talking to you man. Thanks thanks for having me. Guys, 463 00:23:54,640 --> 00:24:11,440 Speaker 1: great talking to you on the phone. We got Roy 464 00:24:11,520 --> 00:24:14,280 Speaker 1: Straw and he has been hunting in Texas. Roy, how's 465 00:24:14,320 --> 00:24:16,879 Speaker 1: it going man, Man, it's great. We're headed back to 466 00:24:16,960 --> 00:24:19,879 Speaker 1: the house now with a couple of pooler school. I 467 00:24:19,960 --> 00:24:24,280 Speaker 1: got my little boy finally finally passed out after the 468 00:24:24,320 --> 00:24:26,800 Speaker 1: first couple hours of the drive, so we're doing real 469 00:24:26,840 --> 00:24:31,160 Speaker 1: good year. That's cool, man, So big time in Texas 470 00:24:31,160 --> 00:24:34,480 Speaker 1: this weekend. It's was the archery opener, so a lot 471 00:24:34,520 --> 00:24:37,840 Speaker 1: of guys hit the woods or the heels or whatever 472 00:24:37,880 --> 00:24:39,920 Speaker 1: you want to call it. And you were one of 473 00:24:39,960 --> 00:24:41,880 Speaker 1: those fellows. Got to go out and do a little 474 00:24:41,920 --> 00:24:45,679 Speaker 1: hunting this weekend, right, yes, sir. We uh we hit 475 00:24:45,720 --> 00:24:49,280 Speaker 1: the hill country this weekend. And uh the highways were 476 00:24:49,320 --> 00:24:52,440 Speaker 1: packed on Friday, Thursday evening and Friday you getting uh 477 00:24:52,880 --> 00:24:56,240 Speaker 1: everybody was heading out, so uh you couldn't ask the 478 00:24:56,320 --> 00:25:00,280 Speaker 1: better weather. You know. We had um I thinking we 479 00:25:00,359 --> 00:25:04,359 Speaker 1: were outpoards Spicewood on on far West Travis County, and 480 00:25:04,359 --> 00:25:07,760 Speaker 1: and we saw attempts in the little fifties and then 481 00:25:08,040 --> 00:25:11,119 Speaker 1: highs in the low eighties during the days. So I 482 00:25:11,119 --> 00:25:17,680 Speaker 1: mean just absolutely gorgeous September, I mean October weather for Texas. So, um, 483 00:25:17,680 --> 00:25:21,320 Speaker 1: great for an archery opener for sure. Yeah. Absolutely man. So, 484 00:25:21,960 --> 00:25:25,160 Speaker 1: uh you have a little place out there that y'all 485 00:25:25,160 --> 00:25:28,280 Speaker 1: get to hunt, and uh I know that, Uh the 486 00:25:28,359 --> 00:25:30,440 Speaker 1: hill country could me a little challenges sometimes because a 487 00:25:30,440 --> 00:25:33,119 Speaker 1: little bit like feast for fam and like where depends 488 00:25:33,119 --> 00:25:34,800 Speaker 1: on acrons and water and all kinds of stuff. But 489 00:25:34,840 --> 00:25:36,960 Speaker 1: what are the conditions like out there as far as 490 00:25:37,240 --> 00:25:41,320 Speaker 1: you know for the deer. So we hud a small 491 00:25:41,400 --> 00:25:45,400 Speaker 1: spread that's attached to um, you know, several other tracks 492 00:25:45,440 --> 00:25:50,159 Speaker 1: anywhere from six acres and uh it's kind of a 493 00:25:50,200 --> 00:25:54,000 Speaker 1: haven if you will. But um, you know, lots of 494 00:25:54,280 --> 00:25:57,239 Speaker 1: lots of hill country oaks, lots of cedar, lots of 495 00:25:57,240 --> 00:26:01,560 Speaker 1: the ski um and very very I um you know, 496 00:26:01,640 --> 00:26:04,280 Speaker 1: we hunt a piece that butts up to the pardon 497 00:26:04,240 --> 00:26:07,920 Speaker 1: Alis in the Colorado River where they come into make 498 00:26:08,000 --> 00:26:12,199 Speaker 1: Lake Travis. And so there's a little bit of water nearby. Um. 499 00:26:12,240 --> 00:26:15,320 Speaker 1: But by all means, I mean you're still up against 500 00:26:15,359 --> 00:26:18,800 Speaker 1: you know, pretty much drought conditions. Um. You know, we've 501 00:26:18,840 --> 00:26:23,879 Speaker 1: supplemented that with with a lot of protein cotton seed 502 00:26:24,600 --> 00:26:28,160 Speaker 1: uh through the spring and summer. I think that helped 503 00:26:28,240 --> 00:26:31,399 Speaker 1: us quite a bit. Um. You know, one thing that 504 00:26:31,560 --> 00:26:33,960 Speaker 1: I do think, as far as gear movement, that's been 505 00:26:34,000 --> 00:26:39,080 Speaker 1: really strange this year is running cameras, running both conventional 506 00:26:39,119 --> 00:26:44,119 Speaker 1: and LTE cameras. Uh. We've had virtually no dose uh 507 00:26:44,400 --> 00:26:49,760 Speaker 1: that we've seen until about two weeks ago. Um. You know, 508 00:26:49,760 --> 00:26:53,080 Speaker 1: they're still very nocturnal, the does are, but we've had 509 00:26:53,240 --> 00:26:56,640 Speaker 1: no dose on camera during the day. About me, we're 510 00:26:56,680 --> 00:26:59,879 Speaker 1: from midnight at two o'clock in the morning. We've just 511 00:27:00,080 --> 00:27:03,520 Speaker 1: started seeing them. Uh. And then last night I had 512 00:27:03,520 --> 00:27:06,560 Speaker 1: a dope come in still during daylight, one by herself. 513 00:27:06,920 --> 00:27:09,160 Speaker 1: And other than that, I mean, it's kind of strange, 514 00:27:09,200 --> 00:27:11,480 Speaker 1: But I don't know if that's in relation to the 515 00:27:11,560 --> 00:27:15,080 Speaker 1: drought or what. But typically where you see quite a few, um, 516 00:27:15,480 --> 00:27:18,439 Speaker 1: we just hadn't had any on camera. So what do 517 00:27:18,480 --> 00:27:21,359 Speaker 1: you assume is the reason that they're showing up all 518 00:27:21,400 --> 00:27:23,560 Speaker 1: of a sudden? Usually you think of bucks this time 519 00:27:23,600 --> 00:27:26,680 Speaker 1: of year start dispersing and going to different areas because 520 00:27:26,680 --> 00:27:29,119 Speaker 1: of the rut um. Is it a is it a 521 00:27:29,119 --> 00:27:31,240 Speaker 1: food thing? Or why are they showing up all of 522 00:27:31,240 --> 00:27:34,880 Speaker 1: a sudden as does you know, Uh, Tyler, I think 523 00:27:34,880 --> 00:27:37,919 Speaker 1: that's something that's kind of the theory I'm working is 524 00:27:38,000 --> 00:27:40,320 Speaker 1: that you know, the dose that I have seen during 525 00:27:40,359 --> 00:27:44,120 Speaker 1: the day, you know, um, just out looking at other 526 00:27:44,160 --> 00:27:48,080 Speaker 1: pieces of property in the area have all had uh 527 00:27:48,240 --> 00:27:50,960 Speaker 1: young yearlings with them. Uh seen a lot of twins, 528 00:27:51,520 --> 00:27:54,600 Speaker 1: and so I don't know if they're holding to food 529 00:27:54,640 --> 00:27:57,880 Speaker 1: sources tighter, uh, knowing that it's you know, a little 530 00:27:57,920 --> 00:28:02,280 Speaker 1: a little scarcer than we've seen in years past, asked um. 531 00:28:02,320 --> 00:28:04,520 Speaker 1: But about two miles down the road from where we 532 00:28:04,520 --> 00:28:08,600 Speaker 1: were hunting this weekend, UM, I saw a group actually 533 00:28:08,600 --> 00:28:13,399 Speaker 1: this morning. Uh. It was about six or seven doughs, um, 534 00:28:13,440 --> 00:28:16,640 Speaker 1: and uh, probably about four of them. There are three 535 00:28:16,720 --> 00:28:19,480 Speaker 1: mature doughs and four year lings. I would say one 536 00:28:19,520 --> 00:28:22,159 Speaker 1: of them had twins, and they were all together not 537 00:28:22,240 --> 00:28:27,840 Speaker 1: a bucket site. UM. So it's definitely an interesting compared 538 00:28:27,880 --> 00:28:31,920 Speaker 1: to years past. So you mentioned earlier some full coolers, 539 00:28:32,200 --> 00:28:34,560 Speaker 1: and I'm assuming that was meat and not liquid drinks. 540 00:28:34,640 --> 00:28:39,280 Speaker 1: But uh, I know that since you're not seeing very 541 00:28:39,280 --> 00:28:41,720 Speaker 1: many doughs, that has to mean that there is a 542 00:28:41,720 --> 00:28:43,960 Speaker 1: buck involved somewhere in this man tell us the story 543 00:28:43,960 --> 00:28:48,200 Speaker 1: about this hunt. So we have actually had a very 544 00:28:48,320 --> 00:28:53,480 Speaker 1: large bachelor group at two of our locations. Um. Yesterday 545 00:28:53,520 --> 00:28:58,600 Speaker 1: morning I hunted. It was absolutely beautiful morning, UM, and 546 00:28:58,760 --> 00:29:03,400 Speaker 1: we uh had seven seven bucks at the theater. Um, 547 00:29:03,520 --> 00:29:06,960 Speaker 1: both our shooters that we were looking for. We had 548 00:29:07,000 --> 00:29:10,000 Speaker 1: three that we're looking for, and then uh two that 549 00:29:10,040 --> 00:29:12,440 Speaker 1: we were going to call our I guess would be 550 00:29:12,480 --> 00:29:16,120 Speaker 1: more of our management bucks, but we had all three 551 00:29:16,200 --> 00:29:17,960 Speaker 1: of them. Were are the two two of the three 552 00:29:17,960 --> 00:29:22,840 Speaker 1: shooters were there yesterday morning, and it was definitely a 553 00:29:22,840 --> 00:29:26,200 Speaker 1: sight to see. I mean, you know, that's fourteen eyes 554 00:29:26,280 --> 00:29:28,480 Speaker 1: an you and trying to make a move in that 555 00:29:28,640 --> 00:29:33,800 Speaker 1: is is extremely difficult. UM. And uh so yesterday morning 556 00:29:34,840 --> 00:29:38,720 Speaker 1: was not what happened, UM, although or yesterday morning wasn't 557 00:29:38,720 --> 00:29:41,640 Speaker 1: idealist say that we ended up shooting the buck. Yesterday 558 00:29:41,680 --> 00:29:48,200 Speaker 1: morning an absolute terrible, terrible miss, um. And what happened 559 00:29:48,280 --> 00:29:51,800 Speaker 1: was the target buck. I was trying to shoot the 560 00:29:52,040 --> 00:29:54,160 Speaker 1: deer we call high Tower. We've been chasing him for 561 00:29:54,240 --> 00:29:57,320 Speaker 1: a couple of years. We've got him. We think he's 562 00:29:57,360 --> 00:30:02,440 Speaker 1: a little over seven and just absolutely gorgeous dear, big 563 00:30:02,480 --> 00:30:08,280 Speaker 1: gray hide, sway back, big full neck and very tall, 564 00:30:08,480 --> 00:30:12,200 Speaker 1: narrow rack and his G two's we think we're gonna 565 00:30:12,240 --> 00:30:18,520 Speaker 1: go fifteen to eighteen inches, um toad absolute matured one 566 00:30:18,560 --> 00:30:22,680 Speaker 1: for the wall, for sure. And so he was we 567 00:30:22,680 --> 00:30:25,240 Speaker 1: were playing a game of cat and mouse yesterday, and 568 00:30:25,280 --> 00:30:28,280 Speaker 1: finally he was a little leary of of the hole 569 00:30:28,320 --> 00:30:32,560 Speaker 1: in the blind, and so finally he looked away and 570 00:30:32,640 --> 00:30:35,480 Speaker 1: I drew, and I had him at thirty five yards, 571 00:30:35,520 --> 00:30:37,880 Speaker 1: and he had kind of circled back and stepped behind 572 00:30:37,880 --> 00:30:42,080 Speaker 1: where he was standing, and uh there was a younger 573 00:30:42,120 --> 00:30:45,480 Speaker 1: gear standing at his hip, and he had moved kind 574 00:30:45,480 --> 00:30:49,440 Speaker 1: of behind him, and so I I just assumed he 575 00:30:49,520 --> 00:30:51,840 Speaker 1: was at forty and dropped down and used my forty 576 00:30:51,880 --> 00:30:55,600 Speaker 1: pen and he when I let go of that arrow, 577 00:30:55,720 --> 00:31:00,040 Speaker 1: I mean hit the deck and just sailed right it 578 00:31:00,200 --> 00:31:06,520 Speaker 1: over his back and smoked the younger buck. Just beautiful, 579 00:31:06,840 --> 00:31:12,880 Speaker 1: beautiful shot. Absolute terrible, terrible, not not the way the 580 00:31:12,920 --> 00:31:17,360 Speaker 1: plan was supposed to go. And uh so luckily it 581 00:31:17,480 --> 00:31:20,760 Speaker 1: was a good shot. We recovered the deer um totally 582 00:31:20,800 --> 00:31:23,480 Speaker 1: not the deer we wanted to kill, but hey, we'll 583 00:31:23,840 --> 00:31:27,600 Speaker 1: take it um. And so luckily Travis County is a 584 00:31:27,680 --> 00:31:33,120 Speaker 1: tubuck county. And so I climbed back in the stand 585 00:31:33,800 --> 00:31:39,800 Speaker 1: licking my wounds at evening and same stand and not 586 00:31:39,800 --> 00:31:43,400 Speaker 1: not expecting much due to the depth being around the 587 00:31:43,440 --> 00:31:47,600 Speaker 1: smell of it. And so I'm back in and you know, 588 00:31:47,600 --> 00:31:51,440 Speaker 1: we hunt a little bit of So it's a developing area, 589 00:31:51,520 --> 00:31:53,880 Speaker 1: is what I'll say. And and because of that, you 590 00:31:53,920 --> 00:31:56,360 Speaker 1: have to deal with a lot of you know, noises 591 00:31:56,360 --> 00:31:59,040 Speaker 1: that you wouldn't typically deer with deal with in the deerwoods. 592 00:31:59,040 --> 00:32:04,000 Speaker 1: And so what happened is there's a bar and grill, 593 00:32:04,880 --> 00:32:07,080 Speaker 1: I don't know, probably about a half mile away on 594 00:32:07,120 --> 00:32:10,800 Speaker 1: the water on the lake and they had a great 595 00:32:10,880 --> 00:32:13,680 Speaker 1: live band last night. They were playing all kinds of 596 00:32:13,720 --> 00:32:19,000 Speaker 1: great tunes and so we uh and of course it's 597 00:32:19,080 --> 00:32:21,960 Speaker 1: echoing through the you know, the canyon of the lake 598 00:32:22,120 --> 00:32:26,640 Speaker 1: and um uh. Then some some guy on a neighboring 599 00:32:26,720 --> 00:32:29,960 Speaker 1: ranch decided that Sunday was for target practice, and he's 600 00:32:29,960 --> 00:32:33,360 Speaker 1: out there just going and just burning up ammo like 601 00:32:33,400 --> 00:32:36,200 Speaker 1: there's no tomorrow. And uh, I was just sitting there 602 00:32:36,240 --> 00:32:39,200 Speaker 1: thinking to myself, I mean, I might I might as 603 00:32:39,200 --> 00:32:41,719 Speaker 1: well go back to the house and watch college football. 604 00:32:42,400 --> 00:32:46,600 Speaker 1: And uh So what what ended up happening is I figured, well, 605 00:32:46,640 --> 00:32:49,520 Speaker 1: we'll sit here and if anything, it'll be an absolute 606 00:32:49,640 --> 00:32:53,160 Speaker 1: last minute, you know, a few minutes a daylight and 607 00:32:53,200 --> 00:32:59,920 Speaker 1: maybe something will come in and are our guy quit 608 00:33:00,040 --> 00:33:02,280 Speaker 1: shooting And it got real quiet and you could still 609 00:33:02,280 --> 00:33:04,320 Speaker 1: hear the music off in the distance. And then out 610 00:33:04,360 --> 00:33:07,960 Speaker 1: walked a pretty mature dough and I was pretty shocked, 611 00:33:07,960 --> 00:33:12,000 Speaker 1: and um, by all means, I was getting ready to 612 00:33:12,000 --> 00:33:15,440 Speaker 1: make a shot on her, and um, so I got 613 00:33:15,480 --> 00:33:19,680 Speaker 1: my bow up on my knee and uh was knocked 614 00:33:19,800 --> 00:33:23,720 Speaker 1: up and uh she kept looking back to the brush, 615 00:33:23,840 --> 00:33:25,920 Speaker 1: real nervous, and I was like, oh that we all 616 00:33:25,960 --> 00:33:30,080 Speaker 1: know what that means. And so I said, we'll hold 617 00:33:30,120 --> 00:33:33,400 Speaker 1: on a minute. And uh so my shot from from 618 00:33:33,480 --> 00:33:37,880 Speaker 1: my seat to the feeder area is uh twenty yards 619 00:33:37,880 --> 00:33:41,640 Speaker 1: on the dot and she's smelling around and then boom 620 00:33:41,640 --> 00:33:45,120 Speaker 1: out bumps this Uh one of the younger, real attractive 621 00:33:45,320 --> 00:33:48,280 Speaker 1: bucks we've had on camera, but he needs a few 622 00:33:48,280 --> 00:33:51,440 Speaker 1: more years. Um. And I'm like, oh, hey, little guy. 623 00:33:51,520 --> 00:33:53,800 Speaker 1: And of course they've all been running together, so I'm 624 00:33:53,840 --> 00:33:58,400 Speaker 1: I'm waiting, and then boom outsteps we have an eight 625 00:33:58,480 --> 00:34:02,840 Speaker 1: point Uh that he's an eight, but he's big, mass, 626 00:34:02,920 --> 00:34:07,640 Speaker 1: dear and just solid throughout, very consistent in his mask, 627 00:34:08,239 --> 00:34:12,880 Speaker 1: big body. Um, and we have him at we're saying 628 00:34:12,880 --> 00:34:16,759 Speaker 1: he's a little over six and I mean he's just 629 00:34:17,040 --> 00:34:21,319 Speaker 1: very mature looking dear on the hoof. And I had 630 00:34:21,320 --> 00:34:24,240 Speaker 1: seen him yesterday morning two and when I saw him, 631 00:34:24,280 --> 00:34:26,640 Speaker 1: you know, he was much more impressive in person than 632 00:34:26,680 --> 00:34:29,400 Speaker 1: he had been on camera, which is always great. And 633 00:34:29,560 --> 00:34:35,200 Speaker 1: uh so he steps out and none the wiser, and uh, 634 00:34:35,360 --> 00:34:38,719 Speaker 1: he's milling around eating, puts his head down. It's a 635 00:34:39,000 --> 00:34:42,239 Speaker 1: standing filled feeder. So he puts his head down and 636 00:34:42,239 --> 00:34:44,600 Speaker 1: walks behind the feeder. Of course he can't see me 637 00:34:44,719 --> 00:34:49,760 Speaker 1: at all. And so I've come to full draw and uh, 638 00:34:49,880 --> 00:34:53,240 Speaker 1: we still have some protein left in our protein feters, 639 00:34:53,360 --> 00:34:56,799 Speaker 1: and so he sticks his nose up in there and 640 00:34:56,880 --> 00:34:59,960 Speaker 1: he's kind of slightly quartered away the way the feter sits, 641 00:35:00,080 --> 00:35:06,719 Speaker 1: and um, I let a jackhammer fly and I'm I mean, 642 00:35:06,840 --> 00:35:13,160 Speaker 1: just absolutely perfect quartered away right behind his shoulder, passed 643 00:35:13,160 --> 00:35:17,040 Speaker 1: through and he jumps and mule kicks and you got that. 644 00:35:18,200 --> 00:35:19,799 Speaker 1: You know, I don't know how to describe it, but 645 00:35:19,880 --> 00:35:22,120 Speaker 1: you can hear, you know how it sounds when they 646 00:35:22,600 --> 00:35:26,719 Speaker 1: good shot goes but through both sides, arrow disappears and 647 00:35:26,760 --> 00:35:30,120 Speaker 1: he mule kicks so big that his butt started coming 648 00:35:30,120 --> 00:35:34,640 Speaker 1: over his shoulder kind of stumbled and then fell and 649 00:35:34,719 --> 00:35:39,240 Speaker 1: took off the brush. And as soon as the dust settle, 650 00:35:39,440 --> 00:35:44,480 Speaker 1: this super dry, so there's dust everywhere. And I grabbed 651 00:35:44,520 --> 00:35:47,520 Speaker 1: my binoculars and I'm looking and I can see my arrow, 652 00:35:47,640 --> 00:35:50,879 Speaker 1: and from my blind I can see just blood all 653 00:35:50,920 --> 00:35:55,520 Speaker 1: over the arrow, and uh I uh, I'm of course 654 00:35:55,600 --> 00:35:59,319 Speaker 1: I'm shaking, and uh, you know that's that's what's so 655 00:35:59,400 --> 00:36:01,359 Speaker 1: great is I'm I'm in there shaking like a leaf 656 00:36:01,400 --> 00:36:04,160 Speaker 1: on a tree and super pump no. And I just 657 00:36:04,200 --> 00:36:08,719 Speaker 1: smoked this deer and so I don't even waste any 658 00:36:08,760 --> 00:36:12,239 Speaker 1: time I get down. I go over there look at 659 00:36:12,280 --> 00:36:16,440 Speaker 1: the arrow, and just you can tell. And I even 660 00:36:16,600 --> 00:36:20,720 Speaker 1: uh I had a little help, a little uh humble 661 00:36:20,840 --> 00:36:24,920 Speaker 1: video I made on Instagram and and of the bloody arrow, 662 00:36:25,040 --> 00:36:28,839 Speaker 1: and uh it's just great. And so you know, I 663 00:36:28,880 --> 00:36:30,920 Speaker 1: saw where he ran, so I made a few steps 664 00:36:30,960 --> 00:36:34,320 Speaker 1: and there's just a beautiful blood trail. It's the hill country, 665 00:36:34,360 --> 00:36:37,520 Speaker 1: so there's lots of rock, and which is great because 666 00:36:37,560 --> 00:36:41,560 Speaker 1: you can just see the trail through the rock, and um, 667 00:36:41,800 --> 00:36:46,040 Speaker 1: we end up getting down there and end up I mean, 668 00:36:46,080 --> 00:36:49,120 Speaker 1: he wasn't twenty yards from where I hit him, and uh, 669 00:36:49,120 --> 00:36:56,879 Speaker 1: I didn't go. That's that's so cool. So uh it 670 00:36:56,960 --> 00:37:00,560 Speaker 1: was great. So recovered him quick and and um he 671 00:37:00,680 --> 00:37:03,520 Speaker 1: was heavy, very very heavy. He's a good looking buck. Man. 672 00:37:03,520 --> 00:37:06,640 Speaker 1: I understand it's not social official right now, so we're 673 00:37:06,680 --> 00:37:09,640 Speaker 1: kind of getting the the pre uh you know story 674 00:37:09,680 --> 00:37:12,160 Speaker 1: on this thing. So that's cool. Man, congrats on that deal. 675 00:37:12,480 --> 00:37:14,239 Speaker 1: I know they're having the family out and everything. It's 676 00:37:14,239 --> 00:37:17,440 Speaker 1: a big deal for you. So whenever you kind of 677 00:37:17,440 --> 00:37:19,399 Speaker 1: look at what's coming forward in Texas for the next 678 00:37:19,440 --> 00:37:21,760 Speaker 1: week or so, as far as weather goes and conditions 679 00:37:21,800 --> 00:37:23,600 Speaker 1: and all that, if you had to rank what you 680 00:37:23,680 --> 00:37:25,799 Speaker 1: predict the buck movement to be like, like within the 681 00:37:25,840 --> 00:37:27,880 Speaker 1: next week, what would you say that he is between 682 00:37:27,880 --> 00:37:33,920 Speaker 1: a one and a ten man, I think, to be honest, 683 00:37:33,920 --> 00:37:37,240 Speaker 1: I think we're probably somewhere between the six and a seven. Um, 684 00:37:37,280 --> 00:37:41,560 Speaker 1: it's pretty good. There's there's some talk of uh, some 685 00:37:41,680 --> 00:37:45,520 Speaker 1: more weather coming I think right now. Um, the younger 686 00:37:45,560 --> 00:37:48,800 Speaker 1: bucks we saw were or the especially the one I 687 00:37:48,880 --> 00:37:50,960 Speaker 1: killed just day morning and he was a little wet 688 00:37:50,960 --> 00:37:53,959 Speaker 1: and his tarsal already. I mean, the old country kicks 689 00:37:53,960 --> 00:37:56,440 Speaker 1: off super early as far as right goes. Usually you 690 00:37:56,480 --> 00:37:59,200 Speaker 1: get about two maybe three weeks if you're lucky in 691 00:37:59,320 --> 00:38:02,960 Speaker 1: October and you get a little cold snap, and uh, 692 00:38:03,000 --> 00:38:07,640 Speaker 1: those guys will will separate real fast and uh spread. 693 00:38:08,040 --> 00:38:13,680 Speaker 1: And that's that's just what I've seen in my area. Um, 694 00:38:13,719 --> 00:38:15,839 Speaker 1: but it's always been that way, I know growing up. 695 00:38:16,440 --> 00:38:21,560 Speaker 1: If it was cold during Halloween, the rut was already over. Yeah. 696 00:38:23,360 --> 00:38:26,920 Speaker 1: That's awesome stuff. Yeah, man, that's good stuff. We appreciate 697 00:38:27,000 --> 00:38:29,160 Speaker 1: the uh you know, from the field info that you 698 00:38:29,239 --> 00:38:32,439 Speaker 1: got there, man, And congrats on the bucks. Yeah, man, 699 00:38:32,440 --> 00:38:34,879 Speaker 1: thank you guys. There was a lot of fun for sure. 700 00:38:34,880 --> 00:38:37,080 Speaker 1: I got to have my family with me for the 701 00:38:36,960 --> 00:38:39,759 Speaker 1: for the laying down picks and and that just makes 702 00:38:39,760 --> 00:38:43,520 Speaker 1: it all that much more special. Now we're talking to 703 00:38:43,640 --> 00:38:48,200 Speaker 1: Christian Babcock from Hunter's Advantage. Dude, you have had some 704 00:38:48,440 --> 00:38:52,759 Speaker 1: really awesome success here recently. Uh in Oklahoma. It looks 705 00:38:52,800 --> 00:38:56,799 Speaker 1: like just a toad buck. Tell us about that, man, Yeah, no, hey, 706 00:38:56,840 --> 00:38:58,600 Speaker 1: I was thinking about it the other day. This is 707 00:38:58,640 --> 00:39:01,480 Speaker 1: the earliest buck that I killed by about two weeks 708 00:39:01,520 --> 00:39:05,120 Speaker 1: opening day. Buck is is not the normal for me. Um, 709 00:39:05,160 --> 00:39:07,120 Speaker 1: But yeah, I know had an awesome hunt down in 710 00:39:07,120 --> 00:39:10,400 Speaker 1: southwest Oklahoma and property we've been we set it up 711 00:39:10,400 --> 00:39:13,359 Speaker 1: on the summer, left it alone, and uh it is 712 00:39:13,640 --> 00:39:15,520 Speaker 1: it is weird. Mature bucks do move when you stay 713 00:39:15,520 --> 00:39:16,960 Speaker 1: out of the property. So it was it was just 714 00:39:17,000 --> 00:39:19,799 Speaker 1: a great hunt. That's cold, and so you you left 715 00:39:19,800 --> 00:39:23,040 Speaker 1: it alone after you set it up. Um, you think 716 00:39:23,040 --> 00:39:24,960 Speaker 1: that's a key. That sounds like you're thinking that's a 717 00:39:25,000 --> 00:39:28,000 Speaker 1: key piece of this whole equation. I think it is. 718 00:39:28,080 --> 00:39:30,920 Speaker 1: I think for most people. I'm I used to be 719 00:39:30,960 --> 00:39:33,200 Speaker 1: one of them. Our anxious to check trail cameras, do 720 00:39:33,239 --> 00:39:35,759 Speaker 1: all these habitsat of improvements, and sometimes it's best to 721 00:39:35,880 --> 00:39:38,040 Speaker 1: just let deer be dear and when you leave him alone, 722 00:39:38,320 --> 00:39:40,560 Speaker 1: and it just seems like good results. I've shot a 723 00:39:40,560 --> 00:39:43,320 Speaker 1: buck the first sit on that property the last two years. 724 00:39:43,360 --> 00:39:44,759 Speaker 1: One was a seven and a half year old buck 725 00:39:44,760 --> 00:39:46,160 Speaker 1: and the next one this one was a six and 726 00:39:46,160 --> 00:39:48,560 Speaker 1: a half year old buck. So they move in daylight 727 00:39:48,600 --> 00:39:50,239 Speaker 1: if you leave him alone. So is this a dear 728 00:39:50,280 --> 00:39:53,400 Speaker 1: that you have some history with? I do. He was 729 00:39:53,440 --> 00:39:55,080 Speaker 1: a five and a half year old buck last year 730 00:39:55,400 --> 00:39:58,239 Speaker 1: and never got an encounter with him, actually tagged out 731 00:39:58,239 --> 00:40:00,520 Speaker 1: in Oklahoma, and he started showing up int daylight right 732 00:40:00,520 --> 00:40:03,000 Speaker 1: after that. He's probably a mid one forties buck last 733 00:40:03,040 --> 00:40:05,480 Speaker 1: year and eleven and ended up sprouting to a thirteen 734 00:40:05,560 --> 00:40:07,719 Speaker 1: this year, and I think I got him at his peak. 735 00:40:07,800 --> 00:40:10,160 Speaker 1: He was he's a pretty cool buck. Yeah, dude, that's beautiful. 736 00:40:10,200 --> 00:40:13,440 Speaker 1: So this area the country you're talking about, it's kind 737 00:40:13,440 --> 00:40:16,719 Speaker 1: of diverse and habitat. What's the uh, the general you know, 738 00:40:16,760 --> 00:40:19,920 Speaker 1: habitat of the area that you're hunting there? Yeah, this 739 00:40:20,600 --> 00:40:22,799 Speaker 1: it's interesting because you got the witch Tom Mountain range, 740 00:40:22,960 --> 00:40:25,640 Speaker 1: which is you know, peeking and awesome, beautiful to look at. 741 00:40:25,719 --> 00:40:28,120 Speaker 1: But then the stuff I'm hunting's flat as crap, So 742 00:40:29,000 --> 00:40:31,000 Speaker 1: it's weird. It's like you're sitting by the highest stuff 743 00:40:31,000 --> 00:40:32,680 Speaker 1: in the area, and then I'm also sitting on this 744 00:40:32,719 --> 00:40:36,000 Speaker 1: flat ac land it's just nine ft and native native grasses. 745 00:40:36,040 --> 00:40:40,399 Speaker 1: So that's kind of what it lays out and looks like, yeah, yeah, 746 00:40:41,840 --> 00:40:45,520 Speaker 1: that's cool. So what was the patterns this buck was on? Man? 747 00:40:45,800 --> 00:40:48,319 Speaker 1: It was awesome. He had been coming in fourteen days 748 00:40:48,320 --> 00:40:52,000 Speaker 1: in a row, September morning and evening, and I was 749 00:40:52,040 --> 00:40:53,840 Speaker 1: just kind of, you know, joking back and forth with 750 00:40:53,880 --> 00:40:56,960 Speaker 1: my buddies. I was like, watch this October one, he'll stop. 751 00:40:57,200 --> 00:41:00,440 Speaker 1: They know, he'll figure it out. And about seven fifteen 752 00:41:00,440 --> 00:41:02,480 Speaker 1: and I've been in the stand, got eard an hour 753 00:41:02,600 --> 00:41:05,040 Speaker 1: before shooting light just because I did not want to 754 00:41:05,080 --> 00:41:08,520 Speaker 1: book him, and he showed have seven fifteen. So he 755 00:41:08,719 --> 00:41:11,359 Speaker 1: read the script and that it worked out. Yeah, So 756 00:41:11,400 --> 00:41:15,360 Speaker 1: what's the what is the key um to setting up 757 00:41:15,360 --> 00:41:19,640 Speaker 1: in the way a deer out there? Man? Um, I'm 758 00:41:19,680 --> 00:41:22,160 Speaker 1: a betting guy. I think there's a lot of different 759 00:41:22,200 --> 00:41:24,000 Speaker 1: strategies you could use in there. A lot of people 760 00:41:24,080 --> 00:41:26,840 Speaker 1: hunt wheat, you know, transition areas between betting and wet. 761 00:41:26,880 --> 00:41:29,960 Speaker 1: I don't have any wheat under food him. I properly 762 00:41:29,960 --> 00:41:32,480 Speaker 1: got to do run some corn, um, So I'm just 763 00:41:32,560 --> 00:41:35,520 Speaker 1: hunting real close to the betting. Betting is a limited 764 00:41:35,520 --> 00:41:37,879 Speaker 1: resource in the place that I'm hunting. So I get 765 00:41:37,960 --> 00:41:41,560 Speaker 1: up in their chili and so I try to wait 766 00:41:41,600 --> 00:41:45,560 Speaker 1: for the best wind, the most favorable wind conditions, get 767 00:41:45,560 --> 00:41:47,920 Speaker 1: in early, and try to stay still. That's kind of 768 00:41:47,920 --> 00:41:52,000 Speaker 1: been my recipes for success. That's awesome. So this buck 769 00:41:52,440 --> 00:41:57,000 Speaker 1: is just a big, old, heavy, nasty Uh, thirteen point 770 00:41:57,400 --> 00:41:59,279 Speaker 1: six and a half year old dear. He's got it, 771 00:41:59,320 --> 00:42:03,200 Speaker 1: looks like to me his neck is already swelling pretty good. Uh. 772 00:42:03,280 --> 00:42:06,759 Speaker 1: How close to rut action are these deer right now? 773 00:42:08,000 --> 00:42:10,480 Speaker 1: I don't know. I mean I think that I think 774 00:42:10,480 --> 00:42:13,440 Speaker 1: we're still a little ways off. Weirdly enough, he had 775 00:42:13,480 --> 00:42:16,879 Speaker 1: some velvet still on his basis, so it was yeah, 776 00:42:16,880 --> 00:42:19,279 Speaker 1: it's he's He's the definition of an early season Buck. 777 00:42:19,600 --> 00:42:21,840 Speaker 1: I think we've still got two three weeks in this 778 00:42:21,840 --> 00:42:23,879 Speaker 1: this area of the country until we're starting to see 779 00:42:23,880 --> 00:42:25,880 Speaker 1: a little bit more of that big buck activity. As 780 00:42:25,920 --> 00:42:28,359 Speaker 1: far as a lot of rubs, a lot of scrapes um, 781 00:42:28,360 --> 00:42:30,520 Speaker 1: there's been some community scrapes on this property and they 782 00:42:30,520 --> 00:42:33,640 Speaker 1: haven't really been that open. So I'm just waiting for 783 00:42:33,640 --> 00:42:35,680 Speaker 1: that too. But I think we're so a few weeks out. Sure. 784 00:42:35,800 --> 00:42:38,040 Speaker 1: So this is the property that you've monitored for quite 785 00:42:38,040 --> 00:42:40,640 Speaker 1: a few years, and so it seems like you kind 786 00:42:40,640 --> 00:42:43,680 Speaker 1: of have the calendar down as to what goes on here. Uh, 787 00:42:43,800 --> 00:42:46,160 Speaker 1: looking at the conditions we have ahead, it's been pretty hot, 788 00:42:46,200 --> 00:42:47,960 Speaker 1: but things are trying to change a little bit. And 789 00:42:48,040 --> 00:42:50,800 Speaker 1: just some of the knowledge you have from seasons past, 790 00:42:51,280 --> 00:42:53,440 Speaker 1: what do you predict buck that activity to be like 791 00:42:53,560 --> 00:42:56,480 Speaker 1: over the next week and give us a rating like 792 00:42:56,600 --> 00:42:59,880 Speaker 1: from one to ten. Yeah, so a couple of different 793 00:42:59,880 --> 00:43:03,799 Speaker 1: things on this property. I'm thinking that I'm that mid range. 794 00:43:03,840 --> 00:43:05,799 Speaker 1: I'm thinking of four or five. The next couple of weeks. 795 00:43:05,800 --> 00:43:08,920 Speaker 1: We're still seeing highs in the mid to high eighties. 796 00:43:08,960 --> 00:43:12,359 Speaker 1: I got sunburned trying to track, so I didn't I 797 00:43:12,360 --> 00:43:14,480 Speaker 1: did not enjoy that. But we're actually headed up to 798 00:43:14,560 --> 00:43:17,719 Speaker 1: Kansas and later part of this week and seeing some 799 00:43:18,640 --> 00:43:21,920 Speaker 1: lows dropping from the mid fifties down to the high thirties. 800 00:43:22,200 --> 00:43:24,200 Speaker 1: You know, where I'm hunting in the next week, I'm 801 00:43:24,239 --> 00:43:25,960 Speaker 1: going to give that about a seven or an eight, 802 00:43:26,000 --> 00:43:28,480 Speaker 1: But where I hunted on this particular buck, I'd say 803 00:43:28,480 --> 00:43:31,160 Speaker 1: about a five, four or five. Got you, Well, that's cool. 804 00:43:31,200 --> 00:43:33,840 Speaker 1: It's promising, man, to upen up is coming. We're getting 805 00:43:33,840 --> 00:43:37,640 Speaker 1: closer to or to November, and uh man, I appreciate 806 00:43:37,680 --> 00:43:39,320 Speaker 1: you hopping on the phone with this. Congrats on the 807 00:43:39,360 --> 00:43:41,560 Speaker 1: big buck, and we will talk to you soon, I'm sure. 808 00:43:42,480 --> 00:43:45,640 Speaker 1: Thank you so much. Appreciate it. Guys. I hope you'll 809 00:43:45,719 --> 00:43:49,080 Speaker 1: have a great opening week of deer season for many 810 00:43:49,120 --> 00:43:51,239 Speaker 1: of the states out there. If you want to get 811 00:43:51,320 --> 00:43:54,000 Speaker 1: hype about some deer hunting, we just released a new 812 00:43:54,120 --> 00:43:57,040 Speaker 1: video on the Element channel that is all about South 813 00:43:57,080 --> 00:43:59,839 Speaker 1: Dakota hunting from last year. Lots of big bucks going 814 00:43:59,840 --> 00:44:02,160 Speaker 1: down down there, also be sure and check out the 815 00:44:02,239 --> 00:44:04,920 Speaker 1: latest episode of Deer Country with Mark Kenyon over on 816 00:44:05,280 --> 00:44:08,920 Speaker 1: the Meat Eater YouTube channel. And if you want to 817 00:44:08,960 --> 00:44:11,359 Speaker 1: see something you might encounter this year, go check out 818 00:44:11,719 --> 00:44:14,680 Speaker 1: Tony Peterson's most recent article about blood trailing deer on 819 00:44:14,760 --> 00:44:17,960 Speaker 1: Wired to hunt dot com. This has been rot Fresh Radio, y'all. 820 00:44:18,040 --> 00:44:25,560 Speaker 1: Keep it fresh.