1 00:00:02,880 --> 00:00:06,440 Speaker 1: Welcome to the Wired to Hunt podcast, your home for 2 00:00:06,519 --> 00:00:11,479 Speaker 1: deer hunting news, stories and strategies, and now your host, 3 00:00:11,880 --> 00:00:16,520 Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm 4 00:00:16,560 --> 00:00:19,680 Speaker 1: your host, Mark Kenyan. This is episode number one sixty eight, 5 00:00:19,760 --> 00:00:22,480 Speaker 1: and today on the show, we're kicking off our two 6 00:00:22,480 --> 00:00:26,880 Speaker 1: thousand seventeen RUT Radio miniseries, in which we're getting real 7 00:00:26,920 --> 00:00:30,120 Speaker 1: time from the field updates from across the country about 8 00:00:30,160 --> 00:00:34,040 Speaker 1: how dear behaving, current conditions affecting deer, and the tactics 9 00:00:34,080 --> 00:00:48,440 Speaker 1: that are working right now. All right, guys, welcome to 10 00:00:48,600 --> 00:00:51,800 Speaker 1: the Wired to Hunt podcast, brought to you by Sitka Gear, 11 00:00:51,960 --> 00:00:56,560 Speaker 1: and today we've got a special episode for you. This 12 00:00:56,640 --> 00:00:59,680 Speaker 1: is the first episode of the two thousand seventeen edition 13 00:01:00,280 --> 00:01:03,920 Speaker 1: of the RUT Radio miniseries that we launched last fall. 14 00:01:04,360 --> 00:01:06,360 Speaker 1: I'm not sure if you guys, if you're new, you 15 00:01:06,360 --> 00:01:07,880 Speaker 1: may not know what I'm talking about. But if you 16 00:01:07,880 --> 00:01:09,720 Speaker 1: were listening in the fall of two thousand and sixteen, 17 00:01:09,720 --> 00:01:13,959 Speaker 1: you're probably familiar with RUT radio. But with me today. 18 00:01:14,000 --> 00:01:16,440 Speaker 1: The guy who's helping make all this happen is one 19 00:01:16,440 --> 00:01:20,280 Speaker 1: of our producers and the host of RUT Radio, Spencer 20 00:01:20,319 --> 00:01:22,880 Speaker 1: new Hearth Spencer, thanks for coming back to help us 21 00:01:22,920 --> 00:01:27,119 Speaker 1: do this again this year. Well, thanks for having me. Um. 22 00:01:27,200 --> 00:01:29,479 Speaker 1: Just as much as I hope people enjoy listening to them, 23 00:01:29,480 --> 00:01:33,600 Speaker 1: I enjoy making them because this is all great information 24 00:01:33,600 --> 00:01:36,360 Speaker 1: that I can use to So I'm I'm happy to 25 00:01:36,360 --> 00:01:38,360 Speaker 1: be doing this, and I'm happy that we started them 26 00:01:38,360 --> 00:01:40,680 Speaker 1: a little bit earlier this year. Yeah. Yeah, so so 27 00:01:40,720 --> 00:01:42,280 Speaker 1: that's that's something I think a lot of people will 28 00:01:42,319 --> 00:01:45,840 Speaker 1: notice different. So last year we started RUT Radio is 29 00:01:45,840 --> 00:01:48,640 Speaker 1: a mini series within while You're to hunt to give 30 00:01:48,680 --> 00:01:51,600 Speaker 1: people up to date information during the run. I'll let 31 00:01:51,600 --> 00:01:54,080 Speaker 1: you explain in more detail, but at a super high level. 32 00:01:54,400 --> 00:01:57,040 Speaker 1: That was our our high our high level thought and plan. 33 00:01:57,640 --> 00:02:01,160 Speaker 1: This year, we're still going to call it the radio miniseries, 34 00:02:01,200 --> 00:02:04,160 Speaker 1: but I thought, let's share what's going on throughout the 35 00:02:04,280 --> 00:02:06,160 Speaker 1: entire deer season. So so I guess before I go 36 00:02:06,160 --> 00:02:10,080 Speaker 1: any further, Spencer, can you walk us through what the 37 00:02:10,160 --> 00:02:13,080 Speaker 1: RUT Radio series is going to be about? What are 38 00:02:13,160 --> 00:02:15,080 Speaker 1: what are we going to cover on these special episodes? 39 00:02:16,320 --> 00:02:19,720 Speaker 1: So each week for like the next three months or so, 40 00:02:20,840 --> 00:02:23,520 Speaker 1: I will talk to a number of different contacts in 41 00:02:23,560 --> 00:02:26,960 Speaker 1: the white tailed world and see what the deer activity 42 00:02:27,000 --> 00:02:31,160 Speaker 1: looks like where they're at. And so for example, this week, uh, 43 00:02:31,160 --> 00:02:33,399 Speaker 1: you know, we've got four states that kind of cover 44 00:02:33,520 --> 00:02:36,000 Speaker 1: the US, and and next week we'll try to have 45 00:02:36,040 --> 00:02:38,480 Speaker 1: like four different states they do the same thing and 46 00:02:38,720 --> 00:02:40,920 Speaker 1: just kind of hear what these guys are seeing in 47 00:02:41,000 --> 00:02:44,240 Speaker 1: their region, and hopefully the information that you get from 48 00:02:44,280 --> 00:02:47,000 Speaker 1: that can just be another piece of the puzzle that 49 00:02:47,280 --> 00:02:50,720 Speaker 1: you use for your hunts. And you know, for this 50 00:02:50,800 --> 00:02:54,560 Speaker 1: first episode, I'm in the same boat, Uh, is that 51 00:02:54,880 --> 00:02:57,639 Speaker 1: what I've heard from these guys has been really relevant 52 00:02:57,680 --> 00:03:01,560 Speaker 1: to me because as someone who's Deer season doesn't open 53 00:03:01,639 --> 00:03:04,320 Speaker 1: until this weekend, I have not been in the woods 54 00:03:04,360 --> 00:03:06,720 Speaker 1: hardly at all, and so talking to some of these 55 00:03:06,720 --> 00:03:09,079 Speaker 1: people gives me a really good idea of what I 56 00:03:09,080 --> 00:03:11,519 Speaker 1: should be looking for in these early haunts as far 57 00:03:11,560 --> 00:03:15,000 Speaker 1: as bachelor groups and field edges and and being turning 58 00:03:15,080 --> 00:03:18,640 Speaker 1: colors and stuff like that. And hopefully, uh, you know, 59 00:03:19,040 --> 00:03:21,240 Speaker 1: as we get deeper into this, that you can use 60 00:03:21,280 --> 00:03:25,040 Speaker 1: that same bit of information in October and November and December. Yeah, 61 00:03:25,040 --> 00:03:26,400 Speaker 1: I love it. I love it because I think, you know, 62 00:03:26,520 --> 00:03:29,440 Speaker 1: so often we want to know what's coming our way 63 00:03:29,639 --> 00:03:31,280 Speaker 1: or what we should expect if we haven't been in 64 00:03:31,320 --> 00:03:33,320 Speaker 1: the woods in a little while, or or different things 65 00:03:33,360 --> 00:03:35,720 Speaker 1: like that. So, so what I thought about last year's 66 00:03:36,400 --> 00:03:38,880 Speaker 1: you know episodes when we talked to a whole bunch 67 00:03:38,920 --> 00:03:40,960 Speaker 1: of different people from different parts of the country every year, 68 00:03:41,080 --> 00:03:42,960 Speaker 1: and you were you were asking them, Okay, what kind 69 00:03:42,960 --> 00:03:46,160 Speaker 1: of dear activity is seeing? Um, how are you seeing 70 00:03:46,160 --> 00:03:49,160 Speaker 1: these dear react to the current weather? Um? What types 71 00:03:49,200 --> 00:03:51,480 Speaker 1: of related behavior? All those different things. You're getting this 72 00:03:51,560 --> 00:03:55,360 Speaker 1: intel from somebody maybe in Iowa or South Dakota or 73 00:03:55,440 --> 00:03:58,320 Speaker 1: Kansas or New Hampshire or whatever it might be. And 74 00:03:58,320 --> 00:04:00,760 Speaker 1: then depending on where I was hunting or where you know, 75 00:04:00,800 --> 00:04:02,360 Speaker 1: a friend was, honey, I can say, Okay, you know 76 00:04:02,760 --> 00:04:05,480 Speaker 1: so and so was hunting in Iowa. I'm heading. You 77 00:04:05,480 --> 00:04:07,800 Speaker 1: know I'm gonna be heading the Iowa next week. Sounds 78 00:04:07,840 --> 00:04:10,200 Speaker 1: like they're seeing a BC that's gonna help me plan 79 00:04:10,320 --> 00:04:13,160 Speaker 1: what I do when I go there, or in particular, 80 00:04:13,160 --> 00:04:15,200 Speaker 1: like right, you get these weather systems ahead to go 81 00:04:15,280 --> 00:04:17,600 Speaker 1: from the west towards the east. So when I hear 82 00:04:17,600 --> 00:04:20,160 Speaker 1: about what's going on in Missouri or Iowa or Illinois 83 00:04:20,600 --> 00:04:22,159 Speaker 1: a couple of days before I'm gonna be hunting here 84 00:04:22,200 --> 00:04:25,800 Speaker 1: in Michigan, I know what to expect come my way. UM. 85 00:04:25,839 --> 00:04:27,760 Speaker 1: So my hope is with this this year, you know, 86 00:04:27,839 --> 00:04:31,279 Speaker 1: not just runt related things, but even early season related things, 87 00:04:31,520 --> 00:04:34,680 Speaker 1: late season related things, We're gonna get a really good 88 00:04:34,920 --> 00:04:37,800 Speaker 1: pulse of what's happening in the white tailed world across 89 00:04:37,839 --> 00:04:40,480 Speaker 1: the country, what kind of conditions we're seeing, what kind 90 00:04:40,480 --> 00:04:42,680 Speaker 1: of deer behavior we're seeing. And also what I liked 91 00:04:42,720 --> 00:04:44,400 Speaker 1: about last year was that you did a good job 92 00:04:44,440 --> 00:04:47,200 Speaker 1: of of talking to people about not only what they're seeing, 93 00:04:47,600 --> 00:04:50,400 Speaker 1: but also what they're trying. So what types of tactics 94 00:04:50,400 --> 00:04:52,160 Speaker 1: are trying, what types of stand sets are trying, and 95 00:04:52,160 --> 00:04:54,800 Speaker 1: then how are those working so you can see Okay, yeah, 96 00:04:54,800 --> 00:04:56,800 Speaker 1: it sounds like rattlings really starting to work for people 97 00:04:56,880 --> 00:04:59,680 Speaker 1: right now. Or it's interesting. Three of the five guys 98 00:04:59,720 --> 00:05:02,680 Speaker 1: said that a doin Estrus blip worked for them, and 99 00:05:02,760 --> 00:05:04,800 Speaker 1: it's the first week in November. Maybe yeah, I should 100 00:05:04,839 --> 00:05:07,200 Speaker 1: be trying that. Um, I found that really helpful. I 101 00:05:07,240 --> 00:05:09,120 Speaker 1: don't know if if if you found that helpful for 102 00:05:09,160 --> 00:05:13,400 Speaker 1: yourself as you did, that is that the case at all? Spencer, Yeah, definitely, 103 00:05:13,480 --> 00:05:15,839 Speaker 1: And like this time of year with the guys we 104 00:05:15,880 --> 00:05:18,360 Speaker 1: talked to, UM, you'll kind of notice it's a lot 105 00:05:18,400 --> 00:05:23,000 Speaker 1: of like very vanilla setups that it's field edges, it's 106 00:05:23,120 --> 00:05:26,920 Speaker 1: evening haunts, um, it's looking for water, stuff like that. 107 00:05:27,440 --> 00:05:29,600 Speaker 1: And I think you'll really start to notice the difference 108 00:05:29,839 --> 00:05:32,479 Speaker 1: in those kind of haunts once we get to October. 109 00:05:32,600 --> 00:05:36,000 Speaker 1: And I remember one episode last year for example, where um, 110 00:05:36,040 --> 00:05:37,840 Speaker 1: I kind of hit everyone with the same question the 111 00:05:37,920 --> 00:05:39,919 Speaker 1: beginning and say, on the one scale of one to ten, 112 00:05:40,120 --> 00:05:41,720 Speaker 1: what do you think that do your activities band? And 113 00:05:41,720 --> 00:05:43,840 Speaker 1: I remember it was like mid October, and we got 114 00:05:43,839 --> 00:05:48,000 Speaker 1: everything from a two to a nine. And so you know, 115 00:05:48,120 --> 00:05:52,000 Speaker 1: right now, it might seem like, um, things kind of 116 00:05:52,000 --> 00:05:55,240 Speaker 1: are the same from North Carolina to North Dakota, But 117 00:05:55,520 --> 00:05:57,600 Speaker 1: as we get a little deeper into the season, especially 118 00:05:57,680 --> 00:06:00,680 Speaker 1: right before the Rod kicks off, there's a lot to 119 00:06:00,720 --> 00:06:04,360 Speaker 1: take in as far as local deer activity. Yeah. Well, 120 00:06:04,400 --> 00:06:06,640 Speaker 1: I'm hoping this is gonna be helpful for people to get, 121 00:06:06,640 --> 00:06:10,000 Speaker 1: you know, real time updates and perspectives from different people 122 00:06:10,320 --> 00:06:13,000 Speaker 1: across the country. So I'm excited about it. I know 123 00:06:13,200 --> 00:06:15,240 Speaker 1: I know you are, And I guess we should probably 124 00:06:15,240 --> 00:06:17,720 Speaker 1: just stop beating around the bush and get right into 125 00:06:17,760 --> 00:06:19,680 Speaker 1: stuff today, Spencer, because I know you've got a good 126 00:06:19,680 --> 00:06:22,520 Speaker 1: slate of um of contexts for us to hear from. So, 127 00:06:22,520 --> 00:06:24,160 Speaker 1: so what do we have in store for this episode? 128 00:06:24,839 --> 00:06:27,520 Speaker 1: So we opened an up talking to Cole Stevens from 129 00:06:27,560 --> 00:06:29,720 Speaker 1: Hawk Hunting and he was on in North Carolina where 130 00:06:29,760 --> 00:06:32,480 Speaker 1: he actually tagged out on an awesome buck. And then 131 00:06:32,520 --> 00:06:34,840 Speaker 1: we then we go to Mike hunt Sucker from Hartland 132 00:06:34,839 --> 00:06:37,200 Speaker 1: bow Hunter and Missouri do we have a j goal 133 00:06:37,600 --> 00:06:40,599 Speaker 1: in Wisconsin with legendary white Tails? And then we ended 134 00:06:40,600 --> 00:06:44,159 Speaker 1: in North Dakota with Alex comp Stack from white Tail 135 00:06:44,240 --> 00:06:47,640 Speaker 1: d n A awesome. Well, it sounds like we've got 136 00:06:47,640 --> 00:06:51,120 Speaker 1: some interesting stuff in store, so I will leave it 137 00:06:51,160 --> 00:06:53,760 Speaker 1: to you, Spencer, take us from here, all right, talk 138 00:06:53,800 --> 00:06:56,560 Speaker 1: to you next week. Mark. Before we get to our 139 00:06:56,600 --> 00:06:59,320 Speaker 1: first update, though, let's pause for a word from our sponsors. 140 00:06:59,440 --> 00:07:03,000 Speaker 1: Let's sit Year, And for this week's Sitka story, we're 141 00:07:03,080 --> 00:07:06,320 Speaker 1: joined by Sitka photographer Sam Sold who tells us about 142 00:07:06,320 --> 00:07:09,680 Speaker 1: a recent elkom that started with an unexpected snowstorm but 143 00:07:09,880 --> 00:07:15,080 Speaker 1: ended with a bowl on the ground. So, on Friday September, 144 00:07:15,960 --> 00:07:19,120 Speaker 1: my buddy Andrew Whitney and I and his girlfriend Katie, 145 00:07:20,040 --> 00:07:23,360 Speaker 1: probably against better judgment, hiked into about four miles in 146 00:07:23,440 --> 00:07:26,600 Speaker 1: a snowstorm, and I got there just before dark and 147 00:07:26,680 --> 00:07:30,280 Speaker 1: set up camp and had a very cold, sleepless night 148 00:07:30,280 --> 00:07:34,400 Speaker 1: because there was trees falling all around us. And the 149 00:07:34,440 --> 00:07:36,560 Speaker 1: next morning we woke up and it had cleared a 150 00:07:36,560 --> 00:07:39,440 Speaker 1: little bit, but the storm had pretty much shut down 151 00:07:39,960 --> 00:07:43,320 Speaker 1: any elk uh like any elk talking, so it was 152 00:07:43,360 --> 00:07:45,960 Speaker 1: just a long cold day. We started a fire and 153 00:07:46,000 --> 00:07:48,720 Speaker 1: stayed warm and heard a couple of bogles that night, 154 00:07:48,760 --> 00:07:51,680 Speaker 1: but just nothing um nothing coming into the calls and 155 00:07:51,720 --> 00:07:55,840 Speaker 1: nothing nothing excited enough to approach. So we went back 156 00:07:55,840 --> 00:07:59,280 Speaker 1: to camp and um crashed for the night and got 157 00:07:59,320 --> 00:08:01,960 Speaker 1: up the next morning it was like totally clear, crisp, 158 00:08:02,760 --> 00:08:06,000 Speaker 1: and we hiked over to this ridge and as we 159 00:08:06,040 --> 00:08:09,480 Speaker 1: crested the ridge, I'm pretty sure a bowl heard us 160 00:08:09,600 --> 00:08:12,000 Speaker 1: our footprints in the snow because the snow had frozen, 161 00:08:12,040 --> 00:08:14,360 Speaker 1: it was really crunchy, And as we crested the ridge, 162 00:08:14,360 --> 00:08:17,200 Speaker 1: it's bull fired off a google, so Andrew bogle back 163 00:08:18,000 --> 00:08:21,200 Speaker 1: and he h cut him off again and bugled, and 164 00:08:21,200 --> 00:08:24,040 Speaker 1: then another bull fired off, and so we started moving 165 00:08:24,080 --> 00:08:26,080 Speaker 1: in and all of a sudden we saw this six 166 00:08:26,160 --> 00:08:29,000 Speaker 1: point running down the hill and he was actually running 167 00:08:29,040 --> 00:08:32,600 Speaker 1: towards the other bowl that had fired off, and about 168 00:08:32,880 --> 00:08:35,600 Speaker 1: thirty seconds later we heard him start to fight, and 169 00:08:35,679 --> 00:08:39,520 Speaker 1: we just sprinted towards the noise and we got down 170 00:08:39,600 --> 00:08:42,640 Speaker 1: the hill about four yards and they literally let us 171 00:08:42,679 --> 00:08:45,280 Speaker 1: walk to within twenty yards at one point, and they 172 00:08:45,320 --> 00:08:47,800 Speaker 1: were just fighting back and forth in the trees. We 173 00:08:47,840 --> 00:08:49,760 Speaker 1: had both come to full draw. We thought they were 174 00:08:49,760 --> 00:08:51,719 Speaker 1: gonna stop, and we thought we were both gonna loose 175 00:08:51,760 --> 00:08:55,280 Speaker 1: and narrow and ended up fighting back down into the trees. 176 00:08:55,640 --> 00:08:59,200 Speaker 1: And then when they finally fought back up, the winner 177 00:08:59,200 --> 00:09:01,520 Speaker 1: of the fight pushed the other bowl off and then 178 00:09:01,559 --> 00:09:04,640 Speaker 1: was just standing there watching him, watching the other bowl 179 00:09:04,640 --> 00:09:07,719 Speaker 1: walk away, and I grabbed the camera to make sure 180 00:09:07,760 --> 00:09:09,800 Speaker 1: I was filming the bowl, and Andrew came to full 181 00:09:09,880 --> 00:09:12,960 Speaker 1: draw and sent a narrow and it was done so 182 00:09:13,480 --> 00:09:16,480 Speaker 1: from the moment we heard the bugle to an elk 183 00:09:16,480 --> 00:09:18,880 Speaker 1: being on the ground, it was like seven minutes in 184 00:09:18,960 --> 00:09:22,600 Speaker 1: sixteen seconds according to the time log on my camera 185 00:09:23,920 --> 00:09:27,200 Speaker 1: on Samsung. He was wearing Sitka's jet Stream jacket and 186 00:09:27,240 --> 00:09:29,760 Speaker 1: mountain pants. If you'd like to create a sick of 187 00:09:29,840 --> 00:09:31,880 Speaker 1: story of your own, or to learn more about sit 188 00:09:31,960 --> 00:09:38,000 Speaker 1: because technical hunting apparel, visit Sitka gear dot com. Alright, 189 00:09:38,000 --> 00:09:40,800 Speaker 1: So joining us on the phone first is Cole Stevens, 190 00:09:40,840 --> 00:09:44,240 Speaker 1: the digital coordinator for haw Hunting. Cole has been hunting 191 00:09:44,280 --> 00:09:46,680 Speaker 1: in North Carolina for the last week, where he actually 192 00:09:46,720 --> 00:09:50,480 Speaker 1: just punched a tag on an awesome buck nicole. During 193 00:09:50,520 --> 00:09:52,960 Speaker 1: your time there, what would you say the bucket activity 194 00:09:53,160 --> 00:09:56,800 Speaker 1: was on a scale of one to ten while I 195 00:09:56,840 --> 00:10:00,720 Speaker 1: was there, I would say anything about six. The deer 196 00:10:00,760 --> 00:10:04,719 Speaker 1: movement had slowed down just every day. It seems like 197 00:10:05,160 --> 00:10:07,280 Speaker 1: um some long the time he got there to turn 198 00:10:07,520 --> 00:10:11,480 Speaker 1: it last. I think that was due to the transitioning 199 00:10:11,760 --> 00:10:16,000 Speaker 1: as there's summer patterns to fall patterns. A lot of 200 00:10:16,000 --> 00:10:18,199 Speaker 1: the deer and a lot of the stands that we're 201 00:10:18,280 --> 00:10:21,800 Speaker 1: hunting or summer patterns stands, and it seemed like every 202 00:10:21,880 --> 00:10:24,000 Speaker 1: night they were they were coming out a little bit later. 203 00:10:24,160 --> 00:10:27,640 Speaker 1: So it was starting to decrease. Are are hunting the 204 00:10:27,720 --> 00:10:31,559 Speaker 1: activity while we're in the stand And so with all 205 00:10:31,559 --> 00:10:35,440 Speaker 1: the Hurricane UM talk that was affecting that area, did 206 00:10:35,440 --> 00:10:38,080 Speaker 1: you guys feel that in that part of North Carolina? 207 00:10:38,160 --> 00:10:40,080 Speaker 1: And do you think that affected the deer hunting at all? 208 00:10:40,960 --> 00:10:44,599 Speaker 1: I do, Uh, the gentleman that was supposed to um 209 00:10:44,720 --> 00:10:47,120 Speaker 1: the hurricane actually didn't hit there. But he said that 210 00:10:47,920 --> 00:10:49,600 Speaker 1: the days that it was supposed to hit there, with 211 00:10:49,640 --> 00:10:52,640 Speaker 1: the cold front that had hit and the rain that 212 00:10:52,640 --> 00:10:54,480 Speaker 1: they had gotten, that the deer were just acting a 213 00:10:54,520 --> 00:10:57,800 Speaker 1: lot different than normal. Well, they weren't hitting the cameras 214 00:10:57,800 --> 00:11:00,840 Speaker 1: that they were normally on. So I really do think 215 00:11:00,880 --> 00:11:04,360 Speaker 1: that that hurricane had some sort of effect on them 216 00:11:05,320 --> 00:11:09,360 Speaker 1: post and during that time frame that they were there. Well, 217 00:11:09,400 --> 00:11:12,880 Speaker 1: for a Midwesterner, that is a scary and really foreign 218 00:11:12,920 --> 00:11:16,520 Speaker 1: thought to have to worry about hurricanes affecting your deer hunting. 219 00:11:17,480 --> 00:11:19,760 Speaker 1: But going forward, you talked about how you expect to 220 00:11:19,800 --> 00:11:23,319 Speaker 1: see more of a transition from summer patterns to more 221 00:11:23,360 --> 00:11:26,920 Speaker 1: of their fall pattern So cool. With that transition, what 222 00:11:26,960 --> 00:11:28,480 Speaker 1: do you think that's gonna look like? Is there going 223 00:11:28,520 --> 00:11:32,520 Speaker 1: to be more daylight activity or less daylight activity? Yeah, 224 00:11:32,640 --> 00:11:38,440 Speaker 1: they were definitely getting away from those fields during daylight. Um, 225 00:11:38,600 --> 00:11:41,800 Speaker 1: the stands that we were in, we're usually just those 226 00:11:41,800 --> 00:11:44,040 Speaker 1: tringe points where they're on their way to those stands, 227 00:11:44,600 --> 00:11:47,559 Speaker 1: and you could tell um that they weren't just crossing 228 00:11:47,600 --> 00:11:52,200 Speaker 1: through those like they're average throw Um. I think right 229 00:11:52,240 --> 00:11:54,760 Speaker 1: now the acorns are sitting in the stand you could 230 00:11:54,760 --> 00:11:58,120 Speaker 1: hear and dropping NonStop. So that's really going to hurt 231 00:11:59,120 --> 00:12:01,880 Speaker 1: h the hunter because they're they're not gonna move during 232 00:12:01,880 --> 00:12:04,480 Speaker 1: the day. They're gonna hit those eight corns, they're gonna 233 00:12:04,720 --> 00:12:06,480 Speaker 1: they're not gonna need to find the food sources out 234 00:12:06,480 --> 00:12:09,040 Speaker 1: in the open fields. They could be more fields, and 235 00:12:09,160 --> 00:12:11,160 Speaker 1: I think in the next couple of weeks here that 236 00:12:11,240 --> 00:12:14,280 Speaker 1: they're gonna be really hard to During your time there, 237 00:12:14,280 --> 00:12:17,040 Speaker 1: you killed that awesome book, and congrats on that, But 238 00:12:17,120 --> 00:12:19,840 Speaker 1: why don't you tell us a little bit specifically about 239 00:12:19,880 --> 00:12:23,040 Speaker 1: that setup that you had for for that hunt. That 240 00:12:23,200 --> 00:12:27,360 Speaker 1: set up was a really exciting one actually. Um. Previous 241 00:12:27,360 --> 00:12:30,840 Speaker 1: to me coming down there, Carson Corey had sent me 242 00:12:31,080 --> 00:12:33,240 Speaker 1: a few pictures of that book and said that he 243 00:12:33,240 --> 00:12:36,000 Speaker 1: had been coming into a regular spot and that he'd 244 00:12:36,000 --> 00:12:39,400 Speaker 1: really like to get me on. Well, like we're talking about, 245 00:12:39,400 --> 00:12:42,679 Speaker 1: with that hurricane, the buck disappeared, he quick calling to 246 00:12:42,760 --> 00:12:45,559 Speaker 1: his normal spots, so we kind of had to adjust 247 00:12:45,600 --> 00:12:47,839 Speaker 1: to that. And the first night that hunted it, it 248 00:12:48,000 --> 00:12:51,320 Speaker 1: was dead. There wasn't a single deer walking through there. Um, 249 00:12:51,360 --> 00:12:54,079 Speaker 1: but Carson kept telling me that that was his bedroom 250 00:12:54,080 --> 00:12:56,400 Speaker 1: and that's where he was gonna work his way back to. 251 00:12:56,640 --> 00:12:59,280 Speaker 1: So the following night, I'm not going the same stand. 252 00:13:00,000 --> 00:13:02,520 Speaker 1: It was almost like clock where he he must have 253 00:13:02,760 --> 00:13:05,200 Speaker 1: watched his way back into that bed, and I caught 254 00:13:05,240 --> 00:13:08,120 Speaker 1: him right before dark, taking the exact steps that we 255 00:13:08,200 --> 00:13:10,920 Speaker 1: thought he would. Um, I don't know where he was 256 00:13:11,000 --> 00:13:13,320 Speaker 1: the previous day. He had just disappeared like a ghost, 257 00:13:13,400 --> 00:13:14,840 Speaker 1: and then all of a sudden I had him at 258 00:13:14,880 --> 00:13:19,000 Speaker 1: ten yards right underneath my stand, doing his his nightly walk. 259 00:13:19,640 --> 00:13:22,160 Speaker 1: How about with bachelor groups? Are you still seeing deer 260 00:13:22,240 --> 00:13:25,000 Speaker 1: that are grouped up at this point? Not not like 261 00:13:25,120 --> 00:13:28,880 Speaker 1: they were? Um, this book he had been showing up 262 00:13:29,360 --> 00:13:33,800 Speaker 1: almost regularly by himself. Um, but there was another book 263 00:13:34,480 --> 00:13:37,840 Speaker 1: coming into the same area at similar times. But they 264 00:13:37,880 --> 00:13:41,480 Speaker 1: were never really grouped up together. They were, they were 265 00:13:41,520 --> 00:13:44,360 Speaker 1: definitely on different terms at that point when we were 266 00:13:44,440 --> 00:13:48,000 Speaker 1: hunting there. Alright, cool, we're going forward in North Carolina 267 00:13:48,240 --> 00:13:50,600 Speaker 1: in this next week or so. What do you think 268 00:13:50,600 --> 00:13:52,480 Speaker 1: the deer activity is going to look like? On the 269 00:13:52,520 --> 00:13:55,480 Speaker 1: scale of one to ten, there's still one of ten. 270 00:13:55,559 --> 00:13:58,439 Speaker 1: I think it would be almost down to a five 271 00:13:58,600 --> 00:14:02,440 Speaker 1: because of the the amount of acorns dropping and just 272 00:14:02,559 --> 00:14:05,200 Speaker 1: the transitioning. I mean, the bucks were losing their velvet. 273 00:14:05,200 --> 00:14:07,640 Speaker 1: They're kind of acting funky. So now they're going to 274 00:14:07,720 --> 00:14:12,080 Speaker 1: start hitting that testosterone and and really just breaking apart. 275 00:14:12,160 --> 00:14:16,360 Speaker 1: And now the I just the place you'd want to 276 00:14:16,400 --> 00:14:20,480 Speaker 1: be is finding where they're moving, um, right before dark 277 00:14:20,560 --> 00:14:22,720 Speaker 1: and writing in the early morning side of their beds, 278 00:14:23,200 --> 00:14:25,160 Speaker 1: and they're not gonna be looking for food so much. 279 00:14:25,240 --> 00:14:27,440 Speaker 1: Is starting to get on those doors and starting to 280 00:14:27,520 --> 00:14:31,080 Speaker 1: get a little more aggressive. Alright, cool, It sounds like 281 00:14:32,000 --> 00:14:34,440 Speaker 1: your timing played out well then to to get a 282 00:14:34,480 --> 00:14:36,760 Speaker 1: deer on the ground. So thanks for your time and 283 00:14:37,000 --> 00:14:40,320 Speaker 1: good luck the rest of your season. Yeah, thanks, Bencing 284 00:14:40,400 --> 00:14:43,680 Speaker 1: you too, alright Enjoining us on the line. Next, it's 285 00:14:43,760 --> 00:14:47,480 Speaker 1: Mike han Sucker, host of Heartland bow Hunter. Now, Mike, 286 00:14:47,640 --> 00:14:49,360 Speaker 1: I know Missery just had their opener and you've been 287 00:14:49,440 --> 00:14:52,520 Speaker 1: hunting thus far. What would you say the deer activity 288 00:14:52,520 --> 00:14:55,560 Speaker 1: has been on a scale of one to ten? Man, 289 00:14:55,560 --> 00:14:59,080 Speaker 1: I'd have to say it's been Actually depends on what 290 00:14:59,160 --> 00:15:02,720 Speaker 1: you're talking about. No, I've I've so far, um in 291 00:15:02,720 --> 00:15:05,760 Speaker 1: the past few days. If I'm two different properties, and um, 292 00:15:05,800 --> 00:15:08,080 Speaker 1: one property I'm seeing a lot of movement, another property 293 00:15:08,120 --> 00:15:11,600 Speaker 1: I'm not seeing much. So um it's it's always season, 294 00:15:11,640 --> 00:15:13,520 Speaker 1: it hit a miss, that's typically how it goes. But 295 00:15:13,760 --> 00:15:16,000 Speaker 1: this is absolutely one of my favorite times of the 296 00:15:16,080 --> 00:15:20,800 Speaker 1: year to hunt antargeted specific buck, especially in Missouri. Uh, 297 00:15:21,280 --> 00:15:23,920 Speaker 1: the last two weeks of September can be really really effective. 298 00:15:25,160 --> 00:15:27,320 Speaker 1: And is there something that you can put your finger 299 00:15:27,400 --> 00:15:30,360 Speaker 1: on as far as why you're seeing property one property 300 00:15:30,400 --> 00:15:33,280 Speaker 1: with such great movement the other one without. Yeah, I 301 00:15:33,320 --> 00:15:35,560 Speaker 1: mean there's a lot of variables. Um. You know, the 302 00:15:35,600 --> 00:15:38,080 Speaker 1: deer have been obviously the key on the beans throughout 303 00:15:38,080 --> 00:15:40,040 Speaker 1: the summer. Um. And as long as you still have 304 00:15:40,120 --> 00:15:42,560 Speaker 1: beans that are still grinning, typically you know you're gonna 305 00:15:42,560 --> 00:15:45,160 Speaker 1: see good deer movements. So. Um. On one of our 306 00:15:45,200 --> 00:15:49,440 Speaker 1: properties that I'm hunting, Um, we we just have really 307 00:15:49,440 --> 00:15:51,520 Speaker 1: really green beans. We've got them in late Um, a 308 00:15:51,600 --> 00:15:55,440 Speaker 1: deer just absolutely annihilating them. Um. There's still definitely fruit 309 00:15:55,920 --> 00:15:58,840 Speaker 1: preferred to a food source. And on that particular property 310 00:15:58,840 --> 00:16:00,840 Speaker 1: there's not a lot of mature oaks, so we're not 311 00:16:00,880 --> 00:16:04,360 Speaker 1: seeing much of an acorn crop um, which you know 312 00:16:04,440 --> 00:16:07,040 Speaker 1: keeps him in the fields as opposed to you know, 313 00:16:07,040 --> 00:16:09,480 Speaker 1: our other property that you know we still actually have 314 00:16:09,600 --> 00:16:12,800 Speaker 1: green beans on as well. Um, but the deer have 315 00:16:12,880 --> 00:16:15,640 Speaker 1: all vanished off of the bean field. It's it's unbelievable 316 00:16:15,680 --> 00:16:19,280 Speaker 1: it's kind of a uh surprise to me actually. You know, 317 00:16:19,600 --> 00:16:22,000 Speaker 1: typically as long as the beans stay green, we're gonna 318 00:16:22,000 --> 00:16:24,240 Speaker 1: see deer in there. But man, I cannot believe the 319 00:16:24,240 --> 00:16:27,080 Speaker 1: difference past couple of weeks is made. The acorns must 320 00:16:27,160 --> 00:16:29,760 Speaker 1: just be dropping like crazy, and we've seen them h 321 00:16:29,840 --> 00:16:32,080 Speaker 1: to a certain extent, but I mean the deer have 322 00:16:32,240 --> 00:16:35,120 Speaker 1: literally vanished. In these deals. Where we were seeing thirty 323 00:16:35,200 --> 00:16:37,880 Speaker 1: forty deer at night, we're not seeing hardly any So 324 00:16:38,640 --> 00:16:42,160 Speaker 1: it's a pretty pretty crazy difference. Now with that property 325 00:16:42,240 --> 00:16:45,520 Speaker 1: that you are seeing good movement, um, the pattern that 326 00:16:45,560 --> 00:16:47,880 Speaker 1: those de are on. How long of a pattern has 327 00:16:47,880 --> 00:16:50,160 Speaker 1: that been that that you've observed just like days or 328 00:16:50,240 --> 00:16:54,120 Speaker 1: weeks that these two yeah, I mean all all summer basically. 329 00:16:54,200 --> 00:16:56,320 Speaker 1: I mean they've been, um, you know, sticking to the 330 00:16:56,320 --> 00:16:59,200 Speaker 1: same patterns um, you know, for for at least the 331 00:16:59,200 --> 00:17:01,040 Speaker 1: past couple of months. Know that the beans really kind 332 00:17:01,040 --> 00:17:06,000 Speaker 1: of established and they haven't really really got off the beans. Um. 333 00:17:06,080 --> 00:17:07,840 Speaker 1: So it just pends, you know, on property and on 334 00:17:07,880 --> 00:17:10,000 Speaker 1: the food available to cover available, and when the deer 335 00:17:10,000 --> 00:17:12,480 Speaker 1: are at I mean every property is unique and different, 336 00:17:12,560 --> 00:17:16,160 Speaker 1: but one thing is that's pretty much remained constant. Um. 337 00:17:16,200 --> 00:17:18,000 Speaker 1: You know that if you have beans that are greening, 338 00:17:18,040 --> 00:17:20,120 Speaker 1: I mean they're gonna be they're gonna be eating them, 339 00:17:20,119 --> 00:17:23,520 Speaker 1: and um, you know they may for prefer acorns, you know, 340 00:17:23,760 --> 00:17:26,640 Speaker 1: when when they can feed and be in the being 341 00:17:26,680 --> 00:17:29,600 Speaker 1: the secluded timber where they're not being you know, exposed 342 00:17:29,640 --> 00:17:34,080 Speaker 1: and stuff, but until at least till until dark. But um, 343 00:17:34,119 --> 00:17:36,560 Speaker 1: it definitely makes a difference. The acorn crop is definitely 344 00:17:36,600 --> 00:17:38,720 Speaker 1: makes a difference on the amount of activity between in 345 00:17:38,720 --> 00:17:42,280 Speaker 1: the field. And so what does a setup look like 346 00:17:42,400 --> 00:17:44,960 Speaker 1: for you this time of year? Is it almost strictly 347 00:17:45,000 --> 00:17:47,760 Speaker 1: all field edgies that you're hunting, Yeah, you know, it 348 00:17:47,800 --> 00:17:50,760 Speaker 1: kind of depends. Um, I like to kind of lightly 349 00:17:51,080 --> 00:17:53,840 Speaker 1: this time of year. I mean, you know, you got 350 00:17:54,119 --> 00:17:56,400 Speaker 1: deer that have been undisturbed all summer long and they 351 00:17:56,480 --> 00:17:59,560 Speaker 1: haven't been messed with, and um, they're they're pretty regular 352 00:17:59,640 --> 00:18:02,080 Speaker 1: for them. Start and the last thing you want to 353 00:18:02,119 --> 00:18:04,440 Speaker 1: do is just you know, dive in and blow blow 354 00:18:04,480 --> 00:18:06,479 Speaker 1: the deer out and ruin your opportunity. And if you're 355 00:18:06,520 --> 00:18:08,440 Speaker 1: haunting a big mature deer, you know, you just don't 356 00:18:08,520 --> 00:18:12,680 Speaker 1: get that many opportunities. So, um, my favorite thing is 357 00:18:12,720 --> 00:18:15,200 Speaker 1: to kind of start start from the outside start from 358 00:18:15,240 --> 00:18:18,600 Speaker 1: some vantage points and and kind of get the overview 359 00:18:18,600 --> 00:18:22,359 Speaker 1: of what's going on before you actually move and dive in. UM. 360 00:18:22,440 --> 00:18:25,040 Speaker 1: You know, we're primarily focusing on evening hunts this year. 361 00:18:25,080 --> 00:18:28,440 Speaker 1: Morning hunts UM are really tough. Depending on the situation. 362 00:18:28,480 --> 00:18:31,760 Speaker 1: If you have a certain property that sets up good form, 363 00:18:31,840 --> 00:18:35,040 Speaker 1: it might be might be acceptable. But for the most part, 364 00:18:35,040 --> 00:18:38,200 Speaker 1: work working on evening hunts and just playing that safe, 365 00:18:38,240 --> 00:18:42,240 Speaker 1: waiting for the right the right wind and the right conditions. UM. 366 00:18:42,320 --> 00:18:45,080 Speaker 1: That makes a huge difference to obviously the weather patterns. 367 00:18:45,080 --> 00:18:48,199 Speaker 1: And anytime you can get a cold front UM this 368 00:18:48,320 --> 00:18:50,800 Speaker 1: time of year with a high pressure system, you know, 369 00:18:50,840 --> 00:18:53,120 Speaker 1: it seems like it's just the deer just on their feet, 370 00:18:53,160 --> 00:18:57,160 Speaker 1: moving like crazy and feet and has moisture played any 371 00:18:57,200 --> 00:18:59,359 Speaker 1: kind of role there for you, um early in the 372 00:18:59,440 --> 00:19:05,840 Speaker 1: year like this, Yeah, absolutely so. UM. These two particular properties, 373 00:19:05,840 --> 00:19:07,840 Speaker 1: one of them we've gotten pretty pretty ample and not 374 00:19:08,000 --> 00:19:10,840 Speaker 1: the rain. UM. You know, the beans are things are 375 00:19:10,880 --> 00:19:14,879 Speaker 1: doing well, the food plots are doing well. UM. And 376 00:19:15,000 --> 00:19:17,520 Speaker 1: our other property. You know, it's a little further north 377 00:19:17,560 --> 00:19:19,080 Speaker 1: and we've missed a lot of the rain that we've 378 00:19:19,119 --> 00:19:23,440 Speaker 1: gotten down down further south, and UM, it just makes 379 00:19:23,480 --> 00:19:25,480 Speaker 1: a huge difference. I think that has a lot to 380 00:19:25,480 --> 00:19:26,960 Speaker 1: do with the acorn and dropping a little bit early 381 00:19:27,000 --> 00:19:29,640 Speaker 1: because it's so dry. Um, they're dropping a little sooner 382 00:19:29,720 --> 00:19:32,920 Speaker 1: than they they would and so um, you know, obviously 383 00:19:32,920 --> 00:19:35,959 Speaker 1: the beans aren't doing as well there. Uh, food plots 384 00:19:36,160 --> 00:19:38,600 Speaker 1: are struggling. We had to actually replan a couple of 385 00:19:38,600 --> 00:19:40,920 Speaker 1: them this week that just didn't hardly even germanate because 386 00:19:40,920 --> 00:19:44,320 Speaker 1: there wasn't anymore sturn the down so um. You know, 387 00:19:44,359 --> 00:19:46,120 Speaker 1: you get up the north of the very southern isle 388 00:19:46,119 --> 00:19:48,280 Speaker 1: of border that area, we've just we've had a lot 389 00:19:48,280 --> 00:19:52,200 Speaker 1: of a lot of drought this summer. We're going forward here, Mike, 390 00:19:52,840 --> 00:19:54,600 Speaker 1: at the end of September, what do you think that 391 00:19:54,680 --> 00:19:56,960 Speaker 1: your activity level is going to be like on a 392 00:19:57,000 --> 00:20:01,879 Speaker 1: scale of one to ten, you know, it typically decreases 393 00:20:02,119 --> 00:20:05,320 Speaker 1: as you get later and later in the month September. Um, 394 00:20:05,359 --> 00:20:07,960 Speaker 1: you know, I kind of experienced the first you know, 395 00:20:08,240 --> 00:20:10,480 Speaker 1: five to seven days of them, as they tend to 396 00:20:10,520 --> 00:20:11,800 Speaker 1: be the best, and a lot of that, like I said, 397 00:20:11,840 --> 00:20:17,000 Speaker 1: get relates to beans turning, acorns dropping, um, and that 398 00:20:17,040 --> 00:20:19,240 Speaker 1: type of stuff. But um, you know, as it we 399 00:20:19,400 --> 00:20:21,400 Speaker 1: get later in the month September, I mean, I think 400 00:20:21,400 --> 00:20:24,000 Speaker 1: the movement's gonna be down a little lower um, depending 401 00:20:24,040 --> 00:20:27,240 Speaker 1: on your area. But um, you know, I think that 402 00:20:27,440 --> 00:20:31,840 Speaker 1: the wanted to get into those times where where the weather, 403 00:20:32,200 --> 00:20:35,520 Speaker 1: the weather is so much more a factor um and 404 00:20:35,320 --> 00:20:37,640 Speaker 1: and has them on the you know, the cold front 405 00:20:37,680 --> 00:20:39,080 Speaker 1: that comes through gonna really have them on the feet 406 00:20:39,080 --> 00:20:41,920 Speaker 1: moving um, when otherwise they may not be moving until 407 00:20:42,119 --> 00:20:44,240 Speaker 1: till after dark. You know, I would say, dear movement, 408 00:20:44,440 --> 00:20:46,840 Speaker 1: you know this time of year is up there, you know, 409 00:20:46,960 --> 00:20:49,600 Speaker 1: eight or nine um as far as you know, moving 410 00:20:49,640 --> 00:20:52,439 Speaker 1: in daylight consistency, and you know later in the year 411 00:20:52,480 --> 00:20:55,040 Speaker 1: you're probably gonna get you know six five. I mean 412 00:20:55,080 --> 00:20:58,240 Speaker 1: it's not not the best, you know, late late September, 413 00:20:58,280 --> 00:21:00,840 Speaker 1: early October, you know, into the middle October gets to 414 00:21:00,880 --> 00:21:03,280 Speaker 1: be gets to be tough, but really rely on what 415 00:21:03,320 --> 00:21:07,040 Speaker 1: other systems. Alright, Mike, well, great insight there on Missouri 416 00:21:07,119 --> 00:21:09,199 Speaker 1: and good luck the best of the fall. All right, 417 00:21:09,240 --> 00:21:12,040 Speaker 1: thank you very much. How we go on before we 418 00:21:12,080 --> 00:21:14,320 Speaker 1: get to our next update, let's pause here from our 419 00:21:14,359 --> 00:21:18,320 Speaker 1: friends at white Tail Properties. This week. With white Tail Properties, 420 00:21:18,480 --> 00:21:21,320 Speaker 1: we are joined by Neil Hogger, a land specialist out 421 00:21:21,320 --> 00:21:23,560 Speaker 1: of Wisconsin, and Neil is going to be telling us 422 00:21:23,560 --> 00:21:26,679 Speaker 1: about what habitat. Improvements can be made to northern properties 423 00:21:26,840 --> 00:21:31,680 Speaker 1: like that in Minnesota and Wisconsin. Well in northern Wisconsin 424 00:21:31,720 --> 00:21:34,679 Speaker 1: in particular where I live, what you deal with is 425 00:21:34,720 --> 00:21:36,920 Speaker 1: monoculture of force for the most part, especially in the 426 00:21:37,000 --> 00:21:40,880 Speaker 1: upper third of the state, and as such the most 427 00:21:40,880 --> 00:21:43,800 Speaker 1: important thing you do revolves around food. The deer are 428 00:21:43,840 --> 00:21:46,760 Speaker 1: gonna go where the food is, and without monoculture you 429 00:21:46,800 --> 00:21:49,719 Speaker 1: can have a biological desert in the in the timber. 430 00:21:49,800 --> 00:21:53,639 Speaker 1: So if you can create food plot, that's fantastic, But 431 00:21:53,680 --> 00:21:55,640 Speaker 1: if you really want to make it special, you want 432 00:21:55,640 --> 00:21:59,080 Speaker 1: to recreate what I calls a trifecta. Try to create 433 00:21:59,119 --> 00:22:02,040 Speaker 1: a food plot year a structure such as a creek 434 00:22:02,320 --> 00:22:06,439 Speaker 1: or perhaps a ridge point that the deer must navigate around. 435 00:22:06,440 --> 00:22:09,480 Speaker 1: And now you've created a pinch point. And uh, if 436 00:22:09,520 --> 00:22:12,160 Speaker 1: you want to really spice it up, you can maybe 437 00:22:12,160 --> 00:22:16,160 Speaker 1: put in a watering hole or um. You can maybe 438 00:22:16,160 --> 00:22:19,000 Speaker 1: do a blocking hinge cut and then you've created maybe 439 00:22:19,040 --> 00:22:22,000 Speaker 1: a trifecta or a quad factor. But the goal here 440 00:22:22,080 --> 00:22:25,320 Speaker 1: is to give the deer a reason to be on 441 00:22:25,359 --> 00:22:28,119 Speaker 1: the spot and make sure your tree stand is in 442 00:22:28,160 --> 00:22:30,800 Speaker 1: that spot. If you'd like to learn more and to 443 00:22:30,840 --> 00:22:33,719 Speaker 1: see the properties that Neil currently has listed for sale. 444 00:22:34,080 --> 00:22:38,639 Speaker 1: Visit white Tail properties dot com. Backslash Hogger that's h 445 00:22:38,720 --> 00:22:42,399 Speaker 1: A U G E R. And joining us on the 446 00:22:42,400 --> 00:22:45,879 Speaker 1: line next is A J Goal, the content coordinator for 447 00:22:46,000 --> 00:22:49,960 Speaker 1: Legendary white Tails Now a J in Wisconsin. What would 448 00:22:50,000 --> 00:22:52,080 Speaker 1: you say the deer activity has been on the scale 449 00:22:52,119 --> 00:22:55,640 Speaker 1: of one to ten, Hey, Spencer, I would say it's 450 00:22:55,680 --> 00:23:01,199 Speaker 1: probably sitting right around the three right now. Three and 451 00:23:01,200 --> 00:23:03,560 Speaker 1: so that's you know, obviously pretty poor. Do you think 452 00:23:03,560 --> 00:23:06,040 Speaker 1: it has been better in the past or why do 453 00:23:06,080 --> 00:23:09,560 Speaker 1: you think it's so low right now? Yeah, I think 454 00:23:09,560 --> 00:23:12,680 Speaker 1: we just got struck with Well, now it's going to 455 00:23:12,800 --> 00:23:16,080 Speaker 1: be a full week of continuous heat to hit the opener, 456 00:23:16,119 --> 00:23:19,879 Speaker 1: which was coming out of a relatively cool August and 457 00:23:20,119 --> 00:23:23,680 Speaker 1: beginning of September. So, um, we got a little unlucky 458 00:23:23,720 --> 00:23:26,720 Speaker 1: heat wave here for opening weekend and now it looks 459 00:23:26,760 --> 00:23:29,280 Speaker 1: like it's gonna be mid eighties again heading into the 460 00:23:29,320 --> 00:23:32,080 Speaker 1: second week in a hunting and so with that heat wave, 461 00:23:32,840 --> 00:23:35,320 Speaker 1: do you think it's just uncomfortable for the dear to 462 00:23:35,440 --> 00:23:37,680 Speaker 1: be moving right now or do you think they're they're 463 00:23:37,720 --> 00:23:41,880 Speaker 1: hitting other food sources and water sources. Yeah, I would 464 00:23:41,880 --> 00:23:46,080 Speaker 1: say it's probably just a little bit later in the evening. UM. 465 00:23:46,119 --> 00:23:51,520 Speaker 1: I did notice on Sunday night versus Saturday Sunday night, 466 00:23:51,880 --> 00:23:54,800 Speaker 1: it dipped about ten degrees. There's a little bit of 467 00:23:54,800 --> 00:23:57,720 Speaker 1: a cool front that came on through, and it seemed 468 00:23:57,760 --> 00:24:02,040 Speaker 1: like there's pretty good deer activity during the evening. Um, 469 00:24:02,080 --> 00:24:05,760 Speaker 1: and you know there's some sparring bucks. Um, does and 470 00:24:05,840 --> 00:24:09,159 Speaker 1: fawns were out feeding. Most of most of what I 471 00:24:09,200 --> 00:24:14,720 Speaker 1: saw was was out in either alfalfa or being fields. Yet, Um, 472 00:24:14,800 --> 00:24:16,960 Speaker 1: you know, beings, they're just starting to change around here. 473 00:24:17,240 --> 00:24:21,919 Speaker 1: So and so you mentioned, uh the sparring bucks. Does 474 00:24:21,960 --> 00:24:23,840 Speaker 1: that mean that the bachelor groups are all broken up 475 00:24:23,840 --> 00:24:28,160 Speaker 1: there in Wisconsin right now? Uh, there's you know, they're 476 00:24:28,160 --> 00:24:32,080 Speaker 1: definitely not completely yet there's some traveling together based on 477 00:24:32,119 --> 00:24:35,840 Speaker 1: trail cams and and what we what we saw. Um, 478 00:24:35,880 --> 00:24:38,240 Speaker 1: I just had that one instance. Actually it wasn't me. 479 00:24:38,320 --> 00:24:40,600 Speaker 1: I just got got a video from my cousin that 480 00:24:40,640 --> 00:24:44,680 Speaker 1: was onstance Um Sunday night and he had he had 481 00:24:44,720 --> 00:24:47,840 Speaker 1: the old UM text on the screen staying turn the 482 00:24:47,920 --> 00:24:50,920 Speaker 1: volume up, and sure enough there's two bucks going at 483 00:24:50,920 --> 00:24:54,760 Speaker 1: it pretty good. So, UM, you know it's right at 484 00:24:54,800 --> 00:24:58,399 Speaker 1: that stage where their testasterone starts starts to rise in 485 00:24:58,480 --> 00:25:00,920 Speaker 1: elevate and they'll be they'll be split en up here shortly. 486 00:25:01,400 --> 00:25:04,119 Speaker 1: And you mentioned the beans a little bit earlier also 487 00:25:04,200 --> 00:25:07,320 Speaker 1: to um, are the deer hitting the beans right now 488 00:25:07,359 --> 00:25:10,000 Speaker 1: like they have been or are they changing colors for 489 00:25:10,000 --> 00:25:15,440 Speaker 1: you there in Wisconsin? Yeah, they're definitely changing colors. Um. 490 00:25:15,520 --> 00:25:20,280 Speaker 1: It's been highly variable, um, especially on the western side 491 00:25:20,280 --> 00:25:23,840 Speaker 1: of the state where the we had a ton of 492 00:25:23,960 --> 00:25:26,880 Speaker 1: rain and farmers got in there a little bit later 493 00:25:26,960 --> 00:25:29,800 Speaker 1: than the normal. So I know on our one farm 494 00:25:29,800 --> 00:25:34,879 Speaker 1: out in Burning County, there's gonna be green beans around 495 00:25:34,920 --> 00:25:37,399 Speaker 1: there for quite some time because they didn't get planted 496 00:25:37,440 --> 00:25:41,040 Speaker 1: until July, and then down around here in the southeastern 497 00:25:41,040 --> 00:25:44,720 Speaker 1: part of the state, pretty much everything got planted on time, 498 00:25:44,800 --> 00:25:47,439 Speaker 1: so it's just a matter of what variety being they used. 499 00:25:47,720 --> 00:25:50,520 Speaker 1: And uh, but I would say a majority of the 500 00:25:50,520 --> 00:25:53,920 Speaker 1: fields around here are starting to turn gold, so they'll 501 00:25:53,920 --> 00:25:58,119 Speaker 1: be turning off here shortly. Yeah. That sounds like what 502 00:25:58,119 --> 00:26:00,320 Speaker 1: what most people are experienced in the midi West right now. 503 00:26:00,760 --> 00:26:02,919 Speaker 1: I know Wisconsin just had their opener. Have you been 504 00:26:03,000 --> 00:26:05,439 Speaker 1: hunting any mornings at or are you strictly evenings this 505 00:26:05,520 --> 00:26:09,280 Speaker 1: time of year? Uh, pretty much strictly evenings. I did 506 00:26:09,440 --> 00:26:15,320 Speaker 1: said Saturday morning, um, just because it's the the typical 507 00:26:15,359 --> 00:26:18,640 Speaker 1: thing to do on opening day. UM, but just saw 508 00:26:18,680 --> 00:26:21,960 Speaker 1: a little five pointer and that was about it. UM. 509 00:26:22,000 --> 00:26:25,680 Speaker 1: So yeah, mainly sticking to evenings, get ahead of them 510 00:26:25,760 --> 00:26:28,040 Speaker 1: and beat them out to the field edges and just 511 00:26:28,119 --> 00:26:32,880 Speaker 1: inside the wood lots and going forward. Uh. In Wisconsin 512 00:26:32,920 --> 00:26:35,200 Speaker 1: for this next week or so, do you think your 513 00:26:35,240 --> 00:26:37,560 Speaker 1: activity is gonna improve? And what would you think that's 514 00:26:37,560 --> 00:26:39,800 Speaker 1: going to be on a scale of one to ten, Yeah, 515 00:26:39,840 --> 00:26:43,320 Speaker 1: this weekend, Uh, I think it's gonna be pretty close 516 00:26:43,400 --> 00:26:47,399 Speaker 1: to similar results in other uh. Rise and temperature, so 517 00:26:47,440 --> 00:26:50,480 Speaker 1: I don't think it's gonna be too great. UM, pretty 518 00:26:50,480 --> 00:26:53,359 Speaker 1: hot afternoons for anybody that's looking to do hanging hunt. 519 00:26:54,240 --> 00:26:58,040 Speaker 1: So I I would say it's gonna be right about 520 00:26:58,080 --> 00:27:01,359 Speaker 1: the same, So three or four I would get us. UM, 521 00:27:01,720 --> 00:27:04,280 Speaker 1: just just makes it tough to try to get out 522 00:27:04,320 --> 00:27:06,960 Speaker 1: there and want to shoot a go and or even 523 00:27:06,960 --> 00:27:09,720 Speaker 1: a buck and and have the chance of it going 524 00:27:10,800 --> 00:27:13,080 Speaker 1: going wrong and not hitting it perfect and dealing with 525 00:27:13,119 --> 00:27:17,199 Speaker 1: these temperatures. So our ag. Well, I hope some cooler 526 00:27:17,240 --> 00:27:20,160 Speaker 1: weather comes through for you in Wisconsin. Thanks for your 527 00:27:20,160 --> 00:27:23,360 Speaker 1: time and good luck and no problem, Yeah, it'll come. 528 00:27:25,240 --> 00:27:28,240 Speaker 1: Joining us on the line. Last is Alex Comstock, the 529 00:27:28,280 --> 00:27:31,119 Speaker 1: founder of White Tailed d n A now Alex in 530 00:27:31,160 --> 00:27:33,680 Speaker 1: North Dakota, you guys have already been hunting for quite 531 00:27:33,680 --> 00:27:35,720 Speaker 1: a while and in that area, what would you say 532 00:27:35,720 --> 00:27:37,800 Speaker 1: the deer activity has been on a scale of one 533 00:27:37,800 --> 00:27:42,159 Speaker 1: to ten, I'd say overall it's probably been at a 534 00:27:42,160 --> 00:27:44,560 Speaker 1: bouttle four. It's been kind of hit and miss, some 535 00:27:44,680 --> 00:27:48,399 Speaker 1: good nights, some bad nights, and so has it gotten 536 00:27:48,960 --> 00:27:50,960 Speaker 1: a little bit worse as you guys have gotten further 537 00:27:51,000 --> 00:27:54,440 Speaker 1: into September or is that four? Have been pretty consistent? Yeah, 538 00:27:54,480 --> 00:27:57,400 Speaker 1: I'd say it's been pretty consistent. I mean we've had 539 00:27:57,440 --> 00:27:59,560 Speaker 1: a couple of days where we had a you know, 540 00:28:00,000 --> 00:28:02,160 Speaker 1: all cool front pushed through and we had some better 541 00:28:02,200 --> 00:28:05,880 Speaker 1: deer movement. But lately the last week or so, it's 542 00:28:05,920 --> 00:28:09,639 Speaker 1: been pretty warm, so not much has been moving. So 543 00:28:09,720 --> 00:28:12,200 Speaker 1: with you guys have been hunting already now, you know, 544 00:28:12,520 --> 00:28:15,240 Speaker 1: for almost three weeks. What kind of encounters have you 545 00:28:15,280 --> 00:28:20,080 Speaker 1: had this season in North Dakota? Um? Pretty much all 546 00:28:20,119 --> 00:28:22,159 Speaker 1: of our I mean seen a lot of you know, 547 00:28:22,280 --> 00:28:25,560 Speaker 1: does one and a half two natural bucks? Um, you know, 548 00:28:26,040 --> 00:28:29,280 Speaker 1: mostly all, I mean, all evening hunts. I've I've sat 549 00:28:29,320 --> 00:28:33,520 Speaker 1: one morning and didn't see anything, and mornings usually don't 550 00:28:33,520 --> 00:28:35,600 Speaker 1: produce much of this time of the year. But any 551 00:28:35,720 --> 00:28:38,040 Speaker 1: we've had a few mature buck counters between me and 552 00:28:38,080 --> 00:28:40,720 Speaker 1: a couple of my buddies, and they've all been in 553 00:28:40,760 --> 00:28:44,200 Speaker 1: that last you know, ten twenty minutes of light, you know. 554 00:28:44,320 --> 00:28:47,400 Speaker 1: But still I've been in a few until hunting a 555 00:28:47,400 --> 00:28:49,920 Speaker 1: lot of public ground, like you do. Are you feeling 556 00:28:49,920 --> 00:28:54,000 Speaker 1: any hunting pressure this time of year? You know, I 557 00:28:54,040 --> 00:28:56,120 Speaker 1: really don't see a ton of pressure where I'm at. 558 00:28:56,360 --> 00:28:58,640 Speaker 1: And that's like probably my favorite thing of being where 559 00:28:58,640 --> 00:29:01,800 Speaker 1: I am in North Dakota is there's this there's a 560 00:29:01,800 --> 00:29:03,720 Speaker 1: lot of people at bow hunt and it's mainly all 561 00:29:03,760 --> 00:29:05,520 Speaker 1: on the private land, so it can be really tough 562 00:29:05,560 --> 00:29:08,320 Speaker 1: to get permission. But on the public you just really 563 00:29:08,320 --> 00:29:11,360 Speaker 1: don't see many people. And so what are some things 564 00:29:11,400 --> 00:29:14,400 Speaker 1: on that public ground that you're keying in on right now? 565 00:29:14,480 --> 00:29:19,120 Speaker 1: Water or food or betting? What is it? Kind of 566 00:29:19,160 --> 00:29:22,320 Speaker 1: all the above, depending which property and hunting. I've got 567 00:29:22,880 --> 00:29:26,400 Speaker 1: one property where I'm targeting a specific buck and with him, 568 00:29:26,440 --> 00:29:28,120 Speaker 1: it's trying to get as close to his bed as 569 00:29:28,120 --> 00:29:32,720 Speaker 1: possible because where he's betting on public is the most 570 00:29:32,760 --> 00:29:36,880 Speaker 1: it's pretty thick um and there's crops all around on private, 571 00:29:37,640 --> 00:29:40,680 Speaker 1: and then some other pieces of public you've got some 572 00:29:40,760 --> 00:29:43,360 Speaker 1: bean fields, and then there's a place where I've got 573 00:29:43,360 --> 00:29:45,440 Speaker 1: a pond trying to get on water. It's kind of 574 00:29:45,480 --> 00:29:48,280 Speaker 1: just to get on anything where they're kind of keen 575 00:29:48,320 --> 00:29:51,959 Speaker 1: in on the evenings. And what kind of role does 576 00:29:52,000 --> 00:29:55,200 Speaker 1: what you played for you hunting this early in the season, 577 00:29:57,040 --> 00:29:59,240 Speaker 1: this time of year, If you can get a you know, 578 00:29:59,280 --> 00:30:01,960 Speaker 1: a good cold front to come through it, that's really key. 579 00:30:02,560 --> 00:30:05,680 Speaker 1: Our best a few days of hunting was when we 580 00:30:05,720 --> 00:30:09,080 Speaker 1: had temperature drops you know, degrees within a couple of 581 00:30:09,200 --> 00:30:11,600 Speaker 1: days and we're able to get eyes on some good 582 00:30:11,640 --> 00:30:14,160 Speaker 1: bucks and one of my buddy was able to he 583 00:30:14,280 --> 00:30:17,960 Speaker 1: passed a pretty good deer um. So yeah, I mean weather, 584 00:30:18,000 --> 00:30:20,880 Speaker 1: it's weather's everything. And then if it's not a cold front, 585 00:30:20,880 --> 00:30:23,960 Speaker 1: it's you know, rain. I like hunting after right before 586 00:30:24,560 --> 00:30:28,120 Speaker 1: heavy rain tonight we're getting thunderstorms all night and with 587 00:30:28,200 --> 00:30:30,600 Speaker 1: hail and everything. And then so I'm gonna be out 588 00:30:30,640 --> 00:30:33,680 Speaker 1: tomorrow trying to get out there after that. Now, are 589 00:30:33,720 --> 00:30:35,360 Speaker 1: you seeing a lot of books that are still grouped 590 00:30:35,440 --> 00:30:39,360 Speaker 1: up or they pretty much separated at this point. I 591 00:30:39,400 --> 00:30:43,000 Speaker 1: think right now where I'm at there just starting to separate. 592 00:30:43,040 --> 00:30:46,520 Speaker 1: I've got a few bachelor groups, um that you know, 593 00:30:46,600 --> 00:30:49,200 Speaker 1: four bucks running together, and now only two of them 594 00:30:49,240 --> 00:30:51,480 Speaker 1: aren't showing up every time. And I don't know if 595 00:30:51,520 --> 00:30:53,840 Speaker 1: the other two of transitions, if they're moving to their 596 00:30:53,840 --> 00:30:57,080 Speaker 1: fall range already. Um, so i'd say the next week 597 00:30:57,200 --> 00:31:00,600 Speaker 1: or so they'll be splitting up. What bug going forward 598 00:31:00,600 --> 00:31:02,720 Speaker 1: in North Dakota? What do you think that deer activity 599 00:31:02,800 --> 00:31:04,560 Speaker 1: level is going to be on the scale of one 600 00:31:04,600 --> 00:31:08,680 Speaker 1: to ten in this next week or so. I'm hoping 601 00:31:08,680 --> 00:31:10,640 Speaker 1: it's gonna creep its way up to about a six 602 00:31:10,760 --> 00:31:13,440 Speaker 1: or seven. We're supposed to get temperatures down in the 603 00:31:13,440 --> 00:31:17,760 Speaker 1: fifties this weekend next week, so I'm hoping with those 604 00:31:17,760 --> 00:31:20,800 Speaker 1: temperature drops and you know, being a lot cooler than average, 605 00:31:21,120 --> 00:31:23,120 Speaker 1: look at those deer moving a lot earlier before we 606 00:31:23,160 --> 00:31:27,680 Speaker 1: get here in uh in October. Alright, Alex, Well, very 607 00:31:27,800 --> 00:31:31,800 Speaker 1: jealous that you've already had haunted North Dakota and good 608 00:31:31,880 --> 00:31:34,960 Speaker 1: luck for the rest of the season. Yeah, I appreciate it, 609 00:31:34,960 --> 00:31:38,480 Speaker 1: thanks so much. And that's gonna do it for this 610 00:31:38,600 --> 00:31:43,440 Speaker 1: first episode of the two thousand seventeen RUT Radio mini series. 611 00:31:43,960 --> 00:31:46,880 Speaker 1: We'll be back with a new episode like this every 612 00:31:46,880 --> 00:31:49,400 Speaker 1: week from here on out through the rest of the year, 613 00:31:49,640 --> 00:31:51,800 Speaker 1: so we're gonna get you those real time updates and 614 00:31:51,840 --> 00:31:54,880 Speaker 1: conditions as we go throughout the hunting season. I'm pretty 615 00:31:54,880 --> 00:31:56,959 Speaker 1: pumped about that and I hope you guys find it helpful. 616 00:31:57,400 --> 00:31:59,280 Speaker 1: And then of course we will be back as well 617 00:31:59,320 --> 00:32:01,760 Speaker 1: with our regular our episodes of the Wired Dunk podcast 618 00:32:01,880 --> 00:32:04,440 Speaker 1: every week as well, so you're gonna get two episodes 619 00:32:04,480 --> 00:32:07,800 Speaker 1: a week, one regular podcast with me and Dan, one 620 00:32:07,840 --> 00:32:10,560 Speaker 1: of the RUT Radio episodes with Spencer, and the rest 621 00:32:10,560 --> 00:32:13,440 Speaker 1: of these updates. So thanks for tuning in, and before 622 00:32:13,480 --> 00:32:14,840 Speaker 1: we go, we want to give a big thank you 623 00:32:14,880 --> 00:32:17,680 Speaker 1: to the rest of our partners at Sitka Gear Yeti 624 00:32:17,760 --> 00:32:21,440 Speaker 1: Cooler's Matthews Archery may have an optics, White Tail, Institute 625 00:32:21,440 --> 00:32:24,760 Speaker 1: of North America, Trophy Ridge and hunt Terra maps, And 626 00:32:24,800 --> 00:32:27,880 Speaker 1: of course thank you guys all for listening. If you're 627 00:32:27,880 --> 00:32:30,640 Speaker 1: out there hunting, I wish you good luck and until 628 00:32:30,680 --> 00:32:33,720 Speaker 1: next time, stay Wired to Hunt.