1 00:00:01,440 --> 00:00:05,200 Speaker 1: Welcome to Wired to Hunts rut Fresh Radio, bringing you 2 00:00:05,240 --> 00:00:08,559 Speaker 1: the latest reports from the White Tailed Woods and now 3 00:00:08,920 --> 00:00:15,760 Speaker 1: your host, Spencer new Hearth. This is Wired to Hunt's 4 00:00:15,880 --> 00:00:19,000 Speaker 1: rout Fresh Radio powered by First Light. I am your host, 5 00:00:19,000 --> 00:00:21,680 Speaker 1: Spencer new Heart and this week we're talking about hunting 6 00:00:21,760 --> 00:00:39,839 Speaker 1: December weather fronts. Welcome to Wired to Hunt's rout Fresh Radio. 7 00:00:40,040 --> 00:00:43,560 Speaker 1: This is episode four seven and this week again I 8 00:00:43,600 --> 00:00:46,640 Speaker 1: am joined by Mark Kenyon who is back home in 9 00:00:46,760 --> 00:00:50,320 Speaker 1: Michigan and has a deer movement report for us. So 10 00:00:50,440 --> 00:00:53,520 Speaker 1: what have you been seeing Mark as of late from 11 00:00:53,560 --> 00:00:58,000 Speaker 1: your glassing and trail camera observations. Yeah, so I have 12 00:00:58,200 --> 00:01:03,360 Speaker 1: not been out hunting really in Michigan, and well a 13 00:01:03,400 --> 00:01:07,039 Speaker 1: long time. It's been about a month since I've hunted 14 00:01:07,080 --> 00:01:08,960 Speaker 1: in my homestead because all the trail I've been doing. 15 00:01:09,440 --> 00:01:12,920 Speaker 1: But I have been home since I don't know, I've 16 00:01:12,920 --> 00:01:15,040 Speaker 1: been home for five days or something like that and 17 00:01:15,360 --> 00:01:18,000 Speaker 1: been able to do some glassing. I've done some camera 18 00:01:18,040 --> 00:01:20,760 Speaker 1: move I moved some cameras yesterday actually, and so I've 19 00:01:20,760 --> 00:01:22,880 Speaker 1: been getting some new pictures in from the cell cams. 20 00:01:22,920 --> 00:01:25,800 Speaker 1: And here's what I've seen over the last couple of days. Uh. 21 00:01:25,880 --> 00:01:30,280 Speaker 1: Number one yesterday while glassing, and this morning in one 22 00:01:30,319 --> 00:01:33,400 Speaker 1: of my cell camp pictures, I've seen bucks still fighting. 23 00:01:33,880 --> 00:01:36,680 Speaker 1: So there's still some of that running activity happening. Even 24 00:01:36,760 --> 00:01:39,440 Speaker 1: though what today that we're recording, it's you know, end 25 00:01:39,480 --> 00:01:41,280 Speaker 1: of November when this episode comes out, will be the 26 00:01:41,319 --> 00:01:43,920 Speaker 1: first day of December. There's still that kind of running 27 00:01:43,959 --> 00:01:47,840 Speaker 1: stuff happening. So there's bucks fighting. And yesterday morning, while 28 00:01:47,920 --> 00:01:50,160 Speaker 1: watching down into a little field the area I could 29 00:01:50,200 --> 00:01:53,480 Speaker 1: watch from above, I saw a mature buck when when 30 00:01:53,480 --> 00:01:56,080 Speaker 1: I say mature, like a three year old buck, locked 31 00:01:56,080 --> 00:01:58,800 Speaker 1: on on a dough still. He was like on her heart, 32 00:01:58,880 --> 00:02:02,800 Speaker 1: standing over her. Everywhere she went he went. So you know, 33 00:02:02,880 --> 00:02:04,840 Speaker 1: that kind of thing is is still out there. So 34 00:02:04,880 --> 00:02:07,560 Speaker 1: I think that's a really important thing to take note of. Uh. 35 00:02:07,600 --> 00:02:10,119 Speaker 1: The second thing I think that might be of note, 36 00:02:10,160 --> 00:02:13,360 Speaker 1: at least across parts of the northern half of the country, 37 00:02:13,400 --> 00:02:15,800 Speaker 1: is we just had a system moved through and drop 38 00:02:15,840 --> 00:02:18,880 Speaker 1: a bunch of snow. And since that snow came through 39 00:02:18,960 --> 00:02:21,959 Speaker 1: yesterday and over the last couple of days, UH, increased 40 00:02:22,000 --> 00:02:24,600 Speaker 1: movement on the food sources. All my cameras that are 41 00:02:24,639 --> 00:02:28,000 Speaker 1: over cut corn combined corn just blew up last night 42 00:02:28,000 --> 00:02:30,160 Speaker 1: and this morning after, we had three four inches of 43 00:02:30,160 --> 00:02:33,800 Speaker 1: snow dropped. So that's what I've seen so far. Um 44 00:02:33,880 --> 00:02:36,680 Speaker 1: kind of what I expected this time of year. Deer 45 00:02:36,760 --> 00:02:39,240 Speaker 1: moving more and more towards food, and a little bit 46 00:02:39,240 --> 00:02:41,840 Speaker 1: of that late rut kind of stuff still going. Those 47 00:02:41,880 --> 00:02:44,359 Speaker 1: are my kind of headlines for what I'm seeing and 48 00:02:44,560 --> 00:02:47,400 Speaker 1: what I would expect for this this period. Yeah, and 49 00:02:47,400 --> 00:02:50,240 Speaker 1: you mentioned snow, but it seems like following that snow, 50 00:02:50,280 --> 00:02:53,239 Speaker 1: now like the day that this episode is going to 51 00:02:53,400 --> 00:02:56,760 Speaker 1: drop on December one, we're gonna have, like dangiars some 52 00:02:56,880 --> 00:03:00,240 Speaker 1: record breaking temperatures in the West as far as warm weather, 53 00:03:00,280 --> 00:03:02,160 Speaker 1: and I know there's yeah, I know the rest of 54 00:03:02,160 --> 00:03:05,359 Speaker 1: the country is seeing something similar. And when it comes 55 00:03:05,400 --> 00:03:08,240 Speaker 1: to white tail hunting in the weather, I know, like 56 00:03:08,280 --> 00:03:10,800 Speaker 1: we're still focused on it in October and we're so 57 00:03:10,919 --> 00:03:14,280 Speaker 1: focused on in November, but I think it's sort of 58 00:03:14,320 --> 00:03:16,639 Speaker 1: forgotten about when we get to December, and personally, like 59 00:03:16,680 --> 00:03:18,720 Speaker 1: I'm often just checking like wind directions and I'm not 60 00:03:18,760 --> 00:03:22,400 Speaker 1: caring so much about precipitation or the air temperature and 61 00:03:22,480 --> 00:03:24,960 Speaker 1: things like that. But it's it's something that we should 62 00:03:25,040 --> 00:03:28,800 Speaker 1: still factor into our setups. So what would you consider 63 00:03:28,880 --> 00:03:34,120 Speaker 1: Mark like good weather for December and bad weather for December. Alright, 64 00:03:34,240 --> 00:03:37,400 Speaker 1: So I want to preface this by saying that my 65 00:03:37,520 --> 00:03:41,400 Speaker 1: perspective on how weather impacts during the late season has 66 00:03:41,600 --> 00:03:45,840 Speaker 1: changed a little bit. There's been a slight evolution, and 67 00:03:45,920 --> 00:03:48,080 Speaker 1: by that I mean, well, let me first answer your question. 68 00:03:48,080 --> 00:03:52,000 Speaker 1: Your question was, what's like ideal late season weather, and 69 00:03:52,080 --> 00:03:58,040 Speaker 1: that best case scenario is extreme cold or extreme snow, 70 00:03:58,280 --> 00:04:00,920 Speaker 1: Like you want that epic winter weather, I want a 71 00:04:00,960 --> 00:04:04,600 Speaker 1: thirty degree temperature trap or I want single digit temperatures 72 00:04:04,680 --> 00:04:08,520 Speaker 1: or sub zero I want six inches of fresh snow, 73 00:04:09,080 --> 00:04:14,440 Speaker 1: anything like that. You know, it's hard to it's hard 74 00:04:14,480 --> 00:04:17,479 Speaker 1: to put guarantees on anything, but just about every time 75 00:04:17,560 --> 00:04:20,160 Speaker 1: you get that kind of weather event, the deer are 76 00:04:20,200 --> 00:04:22,360 Speaker 1: really going to be on their feet and they're really 77 00:04:22,360 --> 00:04:25,080 Speaker 1: going to be feeding heavy earlier in the day typically. 78 00:04:25,200 --> 00:04:27,840 Speaker 1: So if you get that precipitation event, if you have 79 00:04:27,960 --> 00:04:31,120 Speaker 1: those really cool temperatures, you've got a great situation for 80 00:04:31,240 --> 00:04:34,080 Speaker 1: deer moving just a little bit more, moving during daylight 81 00:04:34,160 --> 00:04:37,279 Speaker 1: just a little bit more, and being especially interested in 82 00:04:37,320 --> 00:04:39,800 Speaker 1: food at this time of year, because like right now, 83 00:04:39,920 --> 00:04:42,799 Speaker 1: early December right on through the rest of the month, 84 00:04:43,320 --> 00:04:46,240 Speaker 1: these deer are really doing one thing. They're recuperating from 85 00:04:46,240 --> 00:04:48,400 Speaker 1: the rut, and they're trying to build up their fat 86 00:04:48,480 --> 00:04:51,520 Speaker 1: reserves so they can survive the upcoming winter. So that 87 00:04:51,560 --> 00:04:55,599 Speaker 1: means food, food, food, and I when they have that 88 00:04:55,640 --> 00:04:58,160 Speaker 1: really cool temperatures, it's even more important because they need 89 00:04:58,160 --> 00:05:00,640 Speaker 1: those calories to stay warm and to stay live. So 90 00:05:01,120 --> 00:05:05,400 Speaker 1: if you've got that, I'm I'm particularly excited. Now. The 91 00:05:05,440 --> 00:05:08,400 Speaker 1: opposite of that would be really high temperatures. If you 92 00:05:08,480 --> 00:05:14,279 Speaker 1: have really warm, really above average temperatures, generally that is 93 00:05:14,320 --> 00:05:17,760 Speaker 1: going to suppress dear movement by some degree. It's at 94 00:05:17,800 --> 00:05:21,120 Speaker 1: least not going to help things. Um Now, my evolution 95 00:05:21,440 --> 00:05:25,200 Speaker 1: has been this in the past, I would not hunt 96 00:05:25,880 --> 00:05:27,919 Speaker 1: unless I had that really really good weather, or at 97 00:05:28,000 --> 00:05:30,920 Speaker 1: least I wouldn't hunt often. I would keep my best 98 00:05:30,920 --> 00:05:33,640 Speaker 1: spots untouched all the way until I had that very 99 00:05:33,680 --> 00:05:36,159 Speaker 1: best weather. And in a lot of cases, I think 100 00:05:36,200 --> 00:05:38,839 Speaker 1: that is a good idea. If you've got a farm 101 00:05:38,920 --> 00:05:40,560 Speaker 1: that you know you just hunt, or if you have 102 00:05:40,640 --> 00:05:43,359 Speaker 1: something that's managed and you know that nobody else is 103 00:05:43,360 --> 00:05:45,080 Speaker 1: gonna be mucking it up, and if you can wait 104 00:05:45,120 --> 00:05:47,520 Speaker 1: for those special events that you know a couple of 105 00:05:47,520 --> 00:05:49,280 Speaker 1: times in the in the winter, when you have those 106 00:05:49,320 --> 00:05:51,880 Speaker 1: best case scenarios and slip in and swing for the 107 00:05:51,880 --> 00:05:54,039 Speaker 1: fences on that big old buck you're after, you know 108 00:05:54,120 --> 00:05:57,360 Speaker 1: that's not a bad way to do it. But what 109 00:05:57,400 --> 00:06:00,719 Speaker 1: I will say at the same time is that you 110 00:06:00,800 --> 00:06:03,279 Speaker 1: don't want to let the weather keep you from hunting. 111 00:06:04,120 --> 00:06:06,160 Speaker 1: And this is something that I've seen, you know, across 112 00:06:06,160 --> 00:06:09,000 Speaker 1: the entire season. Right, weather certainly helps, but at the 113 00:06:09,040 --> 00:06:11,960 Speaker 1: same time, I've seen so many days where the weather 114 00:06:12,040 --> 00:06:14,479 Speaker 1: is not supposed to be good, where you know such 115 00:06:14,520 --> 00:06:16,760 Speaker 1: and such deer app and such and such predictor and 116 00:06:16,800 --> 00:06:18,600 Speaker 1: blah blah blah, blah blah. They're all like, oh, it's bad, 117 00:06:18,640 --> 00:06:20,400 Speaker 1: it's bad, it's bad, And then you go out there 118 00:06:20,400 --> 00:06:22,240 Speaker 1: and you have a great hunt. And I think what 119 00:06:22,360 --> 00:06:24,719 Speaker 1: that just keeps your minding is that you know deer 120 00:06:24,760 --> 00:06:27,320 Speaker 1: or wild animals, and no matter how well we think 121 00:06:27,360 --> 00:06:29,040 Speaker 1: we know how they want to move and when they 122 00:06:29,040 --> 00:06:32,640 Speaker 1: want to move, we don't know crap like dear or dear, 123 00:06:33,000 --> 00:06:34,680 Speaker 1: and you're never gonna see him. You're never gonna have 124 00:06:34,720 --> 00:06:37,880 Speaker 1: a chance unless you're out there. So while I certainly 125 00:06:37,880 --> 00:06:41,320 Speaker 1: really excited when I get those really coold temperatures, and 126 00:06:41,520 --> 00:06:44,000 Speaker 1: I will prioritize going to my better places. When I 127 00:06:44,040 --> 00:06:47,320 Speaker 1: have those better conditions, I'm not gonna let a weekend 128 00:06:47,360 --> 00:06:50,880 Speaker 1: pass and not hunt because it's above average. I'll find 129 00:06:50,920 --> 00:06:53,800 Speaker 1: somewhere I can still go because you never know, So 130 00:06:54,400 --> 00:06:57,680 Speaker 1: save maybe your best places for those best days, but 131 00:06:57,760 --> 00:06:59,440 Speaker 1: still get out there and be in a position to 132 00:06:59,600 --> 00:07:02,640 Speaker 1: maybe take advantage of, you know, a wild piece of 133 00:07:02,720 --> 00:07:05,400 Speaker 1: luck you just never know. And then also remember that, 134 00:07:06,200 --> 00:07:09,040 Speaker 1: you know, let the deer tell the story too. So 135 00:07:09,160 --> 00:07:12,080 Speaker 1: if you can scout from afar, like I love scouting 136 00:07:12,440 --> 00:07:15,440 Speaker 1: in the late season, because this isn't the time of 137 00:07:15,520 --> 00:07:17,800 Speaker 1: year when I personally like to volume hunt, you know, 138 00:07:17,800 --> 00:07:20,040 Speaker 1: on the rut. It's just like hunt, hunt, hunt on hunt, 139 00:07:20,080 --> 00:07:22,120 Speaker 1: be out there as much as you possibly can. In 140 00:07:22,160 --> 00:07:26,280 Speaker 1: the late season, I am a little bit more, um, 141 00:07:26,320 --> 00:07:28,200 Speaker 1: I guess, just more careful about how many times I 142 00:07:28,240 --> 00:07:31,920 Speaker 1: go and when those times are, and so I want 143 00:07:31,960 --> 00:07:34,160 Speaker 1: to make sure I'm getting a good bang for my 144 00:07:34,240 --> 00:07:36,840 Speaker 1: buck when I do go, so often I will try 145 00:07:36,880 --> 00:07:40,360 Speaker 1: to sit on a hilltop or getting an observation, stand 146 00:07:40,440 --> 00:07:42,960 Speaker 1: kind of outside of the action and watch so I'm 147 00:07:42,960 --> 00:07:45,400 Speaker 1: still out there, I'm still learning something, and then I 148 00:07:45,400 --> 00:07:47,440 Speaker 1: can see, okay, you know, what even though it's forty 149 00:07:47,480 --> 00:07:49,880 Speaker 1: five degrees today and not so great, I saw that 150 00:07:49,880 --> 00:07:52,559 Speaker 1: buck hum after step out of this little betting area 151 00:07:52,680 --> 00:07:56,240 Speaker 1: four yards away, even on this day. So now I know, well, 152 00:07:56,320 --> 00:07:59,040 Speaker 1: conditions to be damned, he's moving. Now I can take 153 00:07:59,040 --> 00:08:01,760 Speaker 1: a swing. Same thing can go for trail cameras, especially 154 00:08:01,800 --> 00:08:04,520 Speaker 1: with cell cameras these days. Put those somewhere on a 155 00:08:04,520 --> 00:08:06,920 Speaker 1: food source where you can learn what they're doing, and 156 00:08:06,960 --> 00:08:09,680 Speaker 1: watch those if the deer is starting to move, even 157 00:08:09,760 --> 00:08:12,600 Speaker 1: on those warm days. Forget the weather, trust what you're 158 00:08:12,600 --> 00:08:17,000 Speaker 1: seeing going there and hunt. Yeah, and that emphasis on 159 00:08:17,080 --> 00:08:20,040 Speaker 1: doing some scouting in December, I think is really important. 160 00:08:20,800 --> 00:08:22,880 Speaker 1: I killed one of my biggest bucks with a muzzloader 161 00:08:22,880 --> 00:08:25,760 Speaker 1: in South Dakota. UM. I hunted really hard for like 162 00:08:25,840 --> 00:08:28,520 Speaker 1: fifteen days, but a lot of those mornings, although I 163 00:08:28,560 --> 00:08:30,880 Speaker 1: had a gun in my hand, I had no chance 164 00:08:30,920 --> 00:08:32,319 Speaker 1: at killing a deer because I was set up so 165 00:08:32,400 --> 00:08:34,720 Speaker 1: far away. I just wanted to glass what they were doing. 166 00:08:34,800 --> 00:08:37,960 Speaker 1: And oftentimes what you'd see is, however deer would exit 167 00:08:38,080 --> 00:08:40,679 Speaker 1: a field in the morning, you'd often see them entering 168 00:08:40,720 --> 00:08:42,640 Speaker 1: the same way in that evening. And it was a 169 00:08:42,679 --> 00:08:45,720 Speaker 1: way to you know, really make my evening hunts even 170 00:08:45,760 --> 00:08:49,800 Speaker 1: more productive while you know, sacrificing my mornings, which which 171 00:08:49,840 --> 00:08:52,520 Speaker 1: weren't going to be great quality anyways. And and that 172 00:08:52,600 --> 00:08:56,320 Speaker 1: emphasis on food and evenings is something you're gonna hear 173 00:08:56,320 --> 00:08:58,560 Speaker 1: about from all of our guests this week, which include 174 00:08:58,600 --> 00:09:02,239 Speaker 1: David g. A Rizzo in New York, Kyler Moppert in Louisiana, 175 00:09:02,360 --> 00:09:06,079 Speaker 1: Doug During in Wisconsin, and then Vince Bodiata in Tennessee. 176 00:09:07,320 --> 00:09:08,959 Speaker 1: I love it. I'll tell you what I want to 177 00:09:09,040 --> 00:09:12,640 Speaker 1: leave folks with one last thought, and it's this, I 178 00:09:12,720 --> 00:09:15,520 Speaker 1: know that November is gone, right. We looked forward to 179 00:09:15,559 --> 00:09:20,400 Speaker 1: November all year. It's this big, amped up, high anticipation event, 180 00:09:21,000 --> 00:09:23,240 Speaker 1: and there's there's always, at least for me, a little 181 00:09:23,280 --> 00:09:26,640 Speaker 1: bit of this um letdown. Once November is gone. This 182 00:09:26,720 --> 00:09:28,560 Speaker 1: thing that we dreamed of is now in the past, 183 00:09:29,120 --> 00:09:31,080 Speaker 1: and we've got to wait a whole another year to 184 00:09:31,120 --> 00:09:33,719 Speaker 1: come to it again. And so for some people that 185 00:09:33,800 --> 00:09:38,480 Speaker 1: leads to you know, Quentin putting in, you know, throwing 186 00:09:38,520 --> 00:09:40,920 Speaker 1: it in for the year, being done hunting, or not 187 00:09:41,000 --> 00:09:43,200 Speaker 1: thinking that we got any more chances left, feeling like, wow, 188 00:09:43,280 --> 00:09:45,920 Speaker 1: that's it, you know, what what happened? Happened? My best 189 00:09:45,960 --> 00:09:49,400 Speaker 1: chances are behind me. I just want to remind you 190 00:09:49,440 --> 00:09:53,520 Speaker 1: all that we you will be wishing, you will be 191 00:09:53,800 --> 00:09:57,120 Speaker 1: dreaming of these days of hunting again. A couple of 192 00:09:57,120 --> 00:09:59,160 Speaker 1: months from now, you'll be sitting there thinking, man, I 193 00:09:59,160 --> 00:10:01,440 Speaker 1: wish I could hunt now, but you can't because the 194 00:10:01,480 --> 00:10:04,720 Speaker 1: season is closed. So while the season still open, get 195 00:10:04,760 --> 00:10:07,800 Speaker 1: out there and enjoy it still and remember that anything 196 00:10:07,840 --> 00:10:10,640 Speaker 1: can happen. I have had many many people have had 197 00:10:10,679 --> 00:10:13,000 Speaker 1: a lot of success here in December. Several of my 198 00:10:13,080 --> 00:10:16,240 Speaker 1: best Michigan bucks were killed the last few days of November, 199 00:10:16,640 --> 00:10:18,600 Speaker 1: first few days of December. So there's a lot of 200 00:10:18,600 --> 00:10:21,880 Speaker 1: good hunting ahead. There's still some running activity behead. This 201 00:10:22,040 --> 00:10:24,400 Speaker 1: good weather like we talked about, can spur a lot 202 00:10:24,440 --> 00:10:28,199 Speaker 1: of great activity. Um, So they're good times still out 203 00:10:28,200 --> 00:10:30,760 Speaker 1: ahead of us. Don't miss them. Yeah, And if you 204 00:10:30,800 --> 00:10:32,959 Speaker 1: need something to motivate you to get in the woods, 205 00:10:33,040 --> 00:10:36,120 Speaker 1: we just had episode three of One Week in November 206 00:10:36,320 --> 00:10:39,760 Speaker 1: drop on November the day before this episode comes out, 207 00:10:39,840 --> 00:10:42,400 Speaker 1: so it's already up. Uh. One of us kills a 208 00:10:42,400 --> 00:10:46,360 Speaker 1: buck on that episode, and then episode four or five, six, 209 00:10:46,400 --> 00:10:49,839 Speaker 1: seven drops every Tuesday through the end of the year. 210 00:10:50,080 --> 00:10:53,040 Speaker 1: And if you have been following along with one Week 211 00:10:53,040 --> 00:10:55,480 Speaker 1: in November. You'll be interested in what's happening over at 212 00:10:55,600 --> 00:10:59,160 Speaker 1: our auction house now. In this current batch of items, 213 00:10:59,200 --> 00:11:02,040 Speaker 1: which are up for auction for another twelve days, we 214 00:11:02,120 --> 00:11:04,920 Speaker 1: have multiple things from one Week in November. We have 215 00:11:04,960 --> 00:11:08,760 Speaker 1: an entire one Week in November package that includes things 216 00:11:08,760 --> 00:11:13,760 Speaker 1: that we personally use, being you, me, Tony Peterson, and 217 00:11:13,880 --> 00:11:16,640 Speaker 1: Clay Nwcomb Um. And these are some unique items that 218 00:11:16,679 --> 00:11:19,360 Speaker 1: you can't find anywhere else, just like everything in our 219 00:11:19,400 --> 00:11:23,760 Speaker 1: auction house. So in that auction house package or the 220 00:11:23,800 --> 00:11:26,480 Speaker 1: one Week in November group, you have things like Tony 221 00:11:26,520 --> 00:11:29,520 Speaker 1: Peterson's bow that he used in the episode where he 222 00:11:29,600 --> 00:11:32,480 Speaker 1: kills a buck. You have Clay Nuncomb's arrow that he 223 00:11:32,600 --> 00:11:34,760 Speaker 1: shot through a buck that he killed. You have some 224 00:11:34,800 --> 00:11:37,080 Speaker 1: things for me like my blaze orange vest which has 225 00:11:37,080 --> 00:11:38,840 Speaker 1: blood on it from the deer that I killed. You 226 00:11:38,880 --> 00:11:41,720 Speaker 1: have the bench made knife that I used to gout 227 00:11:41,800 --> 00:11:45,760 Speaker 1: the deer. You have the first light dirt bag duffle 228 00:11:46,040 --> 00:11:48,800 Speaker 1: that I hauled stuff around in. You have marks um 229 00:11:48,800 --> 00:11:51,959 Speaker 1: personal tree saddle that he used in the episode. That 230 00:11:52,559 --> 00:11:55,520 Speaker 1: whole package is up for auction right now and it 231 00:11:55,559 --> 00:11:59,400 Speaker 1: currently already has a few bids and it's over now. 232 00:11:59,480 --> 00:12:01,320 Speaker 1: If that's too rich for your bloody you don't care 233 00:12:01,360 --> 00:12:04,680 Speaker 1: about the arrow that you know, clay shot or the 234 00:12:04,720 --> 00:12:07,360 Speaker 1: bow that Tony was using. We have something that I 235 00:12:07,360 --> 00:12:09,839 Speaker 1: know everyone's gonna be interested, and that is a White 236 00:12:09,840 --> 00:12:13,400 Speaker 1: Tail Gear package giveaway. Now, these are all brand new items. 237 00:12:13,480 --> 00:12:15,640 Speaker 1: These are not things that we use, but it's basically 238 00:12:16,200 --> 00:12:19,160 Speaker 1: um replicating the items that we did use in one 239 00:12:19,200 --> 00:12:22,640 Speaker 1: week in November. So you have things like binoculars, range 240 00:12:22,640 --> 00:12:25,240 Speaker 1: finders from Vortex. You have f h F by No harness. 241 00:12:25,320 --> 00:12:29,000 Speaker 1: You have tethered saddle and platforms and climbing sticks. You 242 00:12:29,040 --> 00:12:32,120 Speaker 1: have a Prime Nexus bow, you have broadheads, you have 243 00:12:32,280 --> 00:12:35,480 Speaker 1: multiple first light systems, some of our favorite ones like 244 00:12:35,480 --> 00:12:38,760 Speaker 1: the catalysts and and Solitude. You have bench made knives 245 00:12:38,800 --> 00:12:41,400 Speaker 1: and cross boots and it is free for you to 246 00:12:41,600 --> 00:12:43,880 Speaker 1: enter this giveaway. All you have to do is go 247 00:12:44,000 --> 00:12:47,040 Speaker 1: to store dot the Meat Eater dot com. You're gonna 248 00:12:47,040 --> 00:12:48,760 Speaker 1: see our auction house there and all you have to 249 00:12:48,760 --> 00:12:50,760 Speaker 1: do is enter your email and you'll be entered to 250 00:12:50,760 --> 00:12:54,040 Speaker 1: win this package. Um, so much cool stuff in there, 251 00:12:54,320 --> 00:12:56,640 Speaker 1: and it's what we used on the show. And I'm 252 00:12:56,679 --> 00:12:59,319 Speaker 1: not done plugging yet. Mark. We also have our reading 253 00:12:59,320 --> 00:13:01,240 Speaker 1: materials for this week, which can be found in the 254 00:13:01,280 --> 00:13:04,760 Speaker 1: description of this episode down below. The articles that are 255 00:13:04,760 --> 00:13:07,640 Speaker 1: relevant for right now. We have how the Hunting Public 256 00:13:07,679 --> 00:13:10,839 Speaker 1: finds quality public land deer hunting from Emily can Or. 257 00:13:10,880 --> 00:13:15,200 Speaker 1: Emily interviews the th HP crew about locating overlooked public 258 00:13:15,280 --> 00:13:18,160 Speaker 1: land across the country. And then we have three Places 259 00:13:18,200 --> 00:13:21,280 Speaker 1: to find a post rut buck by you Mark Kenyon. 260 00:13:21,320 --> 00:13:23,720 Speaker 1: Mark goes over three spots that you should be looking 261 00:13:23,760 --> 00:13:27,439 Speaker 1: for to find a buck in early December. And then 262 00:13:27,440 --> 00:13:29,600 Speaker 1: from Tony Peterson, we have how to kill a late 263 00:13:29,640 --> 00:13:32,880 Speaker 1: season buck from the ground. Tony discusses how to get 264 00:13:32,920 --> 00:13:35,000 Speaker 1: it done from the ground with a bow after the 265 00:13:35,120 --> 00:13:39,000 Speaker 1: rut is over. I love it looks at great Slate. 266 00:13:40,120 --> 00:13:43,400 Speaker 1: Highly recommend everyone follow through on that giveaway you mentioned 267 00:13:43,840 --> 00:13:45,839 Speaker 1: there's some sweet stuff in there. You didn't even mention 268 00:13:45,920 --> 00:13:48,040 Speaker 1: at least, and and here you mentioned the timber Ninja 269 00:13:48,080 --> 00:13:51,720 Speaker 1: climbing sticks, which are world changing in my view. UM, 270 00:13:51,880 --> 00:13:54,000 Speaker 1: so definitely going over and get your hands on those. 271 00:13:54,040 --> 00:13:55,559 Speaker 1: That's right, I didn't even bring up all the stuff 272 00:13:55,559 --> 00:13:56,720 Speaker 1: that's in there. We don't we don't have enough time. 273 00:13:56,760 --> 00:13:58,760 Speaker 1: We've already gone away over in time here. But Yeah, 274 00:13:58,800 --> 00:14:02,840 Speaker 1: go to the store dot media dot com entering that giveaway. Great, 275 00:14:03,160 --> 00:14:05,160 Speaker 1: all right, we'll get to those reports. Talk to you 276 00:14:05,200 --> 00:14:09,920 Speaker 1: next week, Mark, all right. And joining us online first 277 00:14:10,000 --> 00:14:13,559 Speaker 1: is David G. A Rizzo from New York from tagging Bragg. Now, 278 00:14:13,679 --> 00:14:16,240 Speaker 1: David in New York. What would you say the buckettivity 279 00:14:16,240 --> 00:14:18,240 Speaker 1: has been lately on a scale of one to ten? 280 00:14:20,640 --> 00:14:24,200 Speaker 1: Oh the past week? Honestly, it's it's probably been about 281 00:14:24,200 --> 00:14:27,760 Speaker 1: a nine. I think the combination of a little bit 282 00:14:27,800 --> 00:14:30,600 Speaker 1: of a second swing of rock coming in along with 283 00:14:30,680 --> 00:14:33,840 Speaker 1: some very harsh weather up there this past year four 284 00:14:33,920 --> 00:14:37,080 Speaker 1: s and the deer onto the food. Um. We we 285 00:14:37,240 --> 00:14:39,360 Speaker 1: as a crew killed two bucks in the last week 286 00:14:39,440 --> 00:14:41,920 Speaker 1: up there, one being our number one target buck. Shall 287 00:14:42,360 --> 00:14:45,000 Speaker 1: I mean? Yeah, it's it's been on fire up there 288 00:14:45,040 --> 00:14:48,080 Speaker 1: this last week and we took advantage of it. Yeah, 289 00:14:48,080 --> 00:14:51,400 Speaker 1: that number one target buck you killed was an absolute slammer. 290 00:14:51,520 --> 00:14:53,520 Speaker 1: Tell us about that hunt, David. Why were you in 291 00:14:53,560 --> 00:14:55,720 Speaker 1: that spot and why did that buck want to be there? 292 00:14:57,840 --> 00:15:00,480 Speaker 1: You know, we we haven't seen this particular r buck 293 00:15:00,920 --> 00:15:03,480 Speaker 1: very much on trail camera, but watched them grow up 294 00:15:03,520 --> 00:15:07,160 Speaker 1: all summer and the place that I was hunting was 295 00:15:07,240 --> 00:15:12,440 Speaker 1: actually a combination of beans and corn, and we we orchestrated, 296 00:15:12,600 --> 00:15:16,920 Speaker 1: we constructed this field specifically for this time of year 297 00:15:17,200 --> 00:15:20,200 Speaker 1: when the conditions get harsh. We had about a foot 298 00:15:20,200 --> 00:15:23,000 Speaker 1: of snow up there, and it was an absolute blizzard. 299 00:15:23,040 --> 00:15:25,920 Speaker 1: When I went in and I was I was on 300 00:15:25,960 --> 00:15:28,040 Speaker 1: the food. I mean, that's what I was relying on. 301 00:15:28,480 --> 00:15:30,640 Speaker 1: And I knew I had hunted there the day before 302 00:15:31,120 --> 00:15:33,440 Speaker 1: a lot of deer. I saw, I think almost thirty 303 00:15:33,480 --> 00:15:36,960 Speaker 1: deer on this four acre little food plot, and so 304 00:15:37,000 --> 00:15:38,880 Speaker 1: I knew the deer We're gonna be hitting it with 305 00:15:38,920 --> 00:15:41,840 Speaker 1: the harsh conditions up there. Sometimes I joke and say, 306 00:15:42,160 --> 00:15:45,240 Speaker 1: the harsher the conditions, the better opportunity you have to 307 00:15:45,360 --> 00:15:49,480 Speaker 1: kill one of these big, mature New York bucks. And 308 00:15:50,080 --> 00:15:53,240 Speaker 1: it paid dividends because I had probably twelve the fifteen 309 00:15:53,240 --> 00:15:55,240 Speaker 1: deer in front of me, and he came out at 310 00:15:55,280 --> 00:15:57,680 Speaker 1: the bottom of the food plot and was on a 311 00:15:57,920 --> 00:16:00,560 Speaker 1: literally on a string, and stop up in the middle 312 00:16:00,600 --> 00:16:03,040 Speaker 1: of these deer at thirty eight yards. Never in my 313 00:16:03,120 --> 00:16:05,480 Speaker 1: life that I think I would shoot a buck with 314 00:16:05,560 --> 00:16:08,560 Speaker 1: a bow during rifle season up in New York. But 315 00:16:08,760 --> 00:16:11,440 Speaker 1: to have it be my personal best then and my 316 00:16:11,560 --> 00:16:16,000 Speaker 1: first booner ever is it's insane, man, It's insane. So 317 00:16:16,040 --> 00:16:18,200 Speaker 1: what other food sources would you say are relevant right 318 00:16:18,240 --> 00:16:20,440 Speaker 1: now for deer hunters in that part of the country. 319 00:16:22,840 --> 00:16:25,600 Speaker 1: Um beans in corn have been the hottest for us, 320 00:16:25,600 --> 00:16:27,720 Speaker 1: but the deer have been hammering the turn ups as well. 321 00:16:27,800 --> 00:16:30,920 Speaker 1: I mean, really, any late season food source that you 322 00:16:30,920 --> 00:16:33,320 Speaker 1: know that's that you have on your property. The deer 323 00:16:33,680 --> 00:16:37,480 Speaker 1: seemed to be shifting to that a lot more afternoon movement, 324 00:16:37,520 --> 00:16:40,840 Speaker 1: a lot less morning movement, So our our morning hunts 325 00:16:40,840 --> 00:16:44,440 Speaker 1: are probably gonna be few and far between moving forward. 326 00:16:44,760 --> 00:16:48,080 Speaker 1: But the afternoons, especially when the when the weather conditions 327 00:16:48,080 --> 00:16:50,680 Speaker 1: are right, are are on fire. Right now, do you 328 00:16:50,760 --> 00:16:55,120 Speaker 1: notice the shift in bedding this time of year? Absolutely? 329 00:16:55,200 --> 00:16:57,720 Speaker 1: We We actually are seeing a lot more of our 330 00:16:57,800 --> 00:17:01,320 Speaker 1: bucks that we watched all summer shift back onto our 331 00:17:01,360 --> 00:17:03,800 Speaker 1: property where we have not seen them or had trail 332 00:17:03,920 --> 00:17:06,639 Speaker 1: camera pictures of them in the last month month and 333 00:17:06,640 --> 00:17:08,560 Speaker 1: a half or so. So a lot of the bucks 334 00:17:08,560 --> 00:17:10,960 Speaker 1: we watched grow up for the summer are shifting back. 335 00:17:11,080 --> 00:17:13,520 Speaker 1: And this the buck that I shot in particular, was 336 00:17:13,560 --> 00:17:16,520 Speaker 1: one of them. And like I said, the combination of 337 00:17:16,520 --> 00:17:19,840 Speaker 1: the food and the harsh weather conditions are are what 338 00:17:19,960 --> 00:17:23,800 Speaker 1: did it for him. Historically, in early December in state 339 00:17:23,880 --> 00:17:28,760 Speaker 1: like New York, what do you notice for signmaking? You know, 340 00:17:29,000 --> 00:17:32,560 Speaker 1: it's funny because the bucks actually just started to shift 341 00:17:32,640 --> 00:17:36,080 Speaker 1: back to um making some scrapes and hitting some of 342 00:17:36,080 --> 00:17:40,399 Speaker 1: the more primary scrapes. Other than that, it's it's nothing. 343 00:17:41,280 --> 00:17:43,919 Speaker 1: The signmaking is nothing crazy. You may get, you know, 344 00:17:43,960 --> 00:17:47,680 Speaker 1: a few random scrapes here popping up um, but it's 345 00:17:47,760 --> 00:17:50,800 Speaker 1: it's really nothing crazy. Honestly, this time of year up 346 00:17:50,800 --> 00:17:54,080 Speaker 1: in New York, the weather conditions are typically so harsh 347 00:17:54,240 --> 00:17:57,440 Speaker 1: that it's it's really all about being on the food 348 00:17:57,440 --> 00:17:59,679 Speaker 1: source and taking advantage of trying to get in between 349 00:17:59,720 --> 00:18:02,480 Speaker 1: food in betting area, you know, to get in front 350 00:18:02,520 --> 00:18:04,800 Speaker 1: of them in early December, where do you want to 351 00:18:04,840 --> 00:18:09,639 Speaker 1: be running your trail cameras? In New York, we've current 352 00:18:09,760 --> 00:18:12,560 Speaker 1: or we've recently shifted all of our trail cameras to 353 00:18:12,720 --> 00:18:16,280 Speaker 1: field edges UM trying to pick up like trying to 354 00:18:16,280 --> 00:18:19,879 Speaker 1: basically be on the best trail coming out into the 355 00:18:19,880 --> 00:18:22,399 Speaker 1: food and we'll have we'll have two to three different 356 00:18:22,440 --> 00:18:25,879 Speaker 1: cameras per you know, two ac or three acre food plots, 357 00:18:25,920 --> 00:18:28,240 Speaker 1: so we're really trying to collect as much information as 358 00:18:28,280 --> 00:18:31,720 Speaker 1: we can on those food sources, because we know different 359 00:18:31,760 --> 00:18:33,640 Speaker 1: bucks that we haven't seen in a while, or maybe 360 00:18:33,640 --> 00:18:36,360 Speaker 1: that we've never seen before, are moving back into these 361 00:18:36,400 --> 00:18:39,359 Speaker 1: areas going forward. Then this next week or so, what 362 00:18:39,440 --> 00:18:41,480 Speaker 1: do you think that BUCKETCTVT is going to be on 363 00:18:41,520 --> 00:18:45,679 Speaker 1: a scale of one to ten in New York? You 364 00:18:45,680 --> 00:18:47,919 Speaker 1: know what, I believe it's gonna stay high. I believe 365 00:18:48,000 --> 00:18:50,960 Speaker 1: it will be probably right around an eight because look 366 00:18:51,040 --> 00:18:54,760 Speaker 1: forecasting the weather for Thursday, Friday, Saturday up there, it 367 00:18:54,760 --> 00:18:57,119 Speaker 1: looks like we're gonna be getting some more snow, some 368 00:18:57,200 --> 00:18:59,879 Speaker 1: more cold weather. And like I said, that's that's the 369 00:19:00,000 --> 00:19:01,840 Speaker 1: bread and butter this time of year is playing those 370 00:19:01,920 --> 00:19:04,280 Speaker 1: weather fronts. We're gonna have another one this week. I 371 00:19:04,280 --> 00:19:06,000 Speaker 1: think it's gonna be I think it's gonna be out 372 00:19:06,000 --> 00:19:08,320 Speaker 1: on fire again. It'll be an eight. All right, David, 373 00:19:08,359 --> 00:19:10,919 Speaker 1: congrats again on the amazing deer. Thanks for joining me. 374 00:19:12,560 --> 00:19:15,720 Speaker 1: I appreciate it. Thanks for having me alright and joining 375 00:19:15,800 --> 00:19:18,520 Speaker 1: us on the line. Next is Kyler Moppert from Louisiana. 376 00:19:18,560 --> 00:19:22,160 Speaker 1: Bow hunter in Louisiana. Now, Kyler in Louisiana, what would 377 00:19:22,160 --> 00:19:24,480 Speaker 1: you say the buck activities been lately on the scale 378 00:19:24,480 --> 00:19:27,439 Speaker 1: of one to ten uh scale with one of ten, 379 00:19:27,440 --> 00:19:30,000 Speaker 1: I probably put it at a seven right now. Um, 380 00:19:30,080 --> 00:19:34,320 Speaker 1: we've got some good buck action happening with colch fronts 381 00:19:34,359 --> 00:19:37,159 Speaker 1: coming through. Obviously a lot of people people in the 382 00:19:37,200 --> 00:19:42,760 Speaker 1: woods with um Thanksgiving holiday and John season kicking in recently. UM, 383 00:19:42,800 --> 00:19:45,800 Speaker 1: but also seeing a lot of just general daytime movements 384 00:19:45,880 --> 00:19:47,720 Speaker 1: on my cameras, and then a lot of people that 385 00:19:47,760 --> 00:19:49,960 Speaker 1: I know that are reporting to us are seeing a 386 00:19:49,960 --> 00:19:52,439 Speaker 1: lot of daytime movement as well as putting some good uh, 387 00:19:52,520 --> 00:19:54,760 Speaker 1: some good bucks on the ground. So when you're part 388 00:19:54,800 --> 00:19:56,919 Speaker 1: of this state, what would you label the white tails 389 00:19:57,000 --> 00:20:00,960 Speaker 1: there as this phase of the rut. Uh, they're still 390 00:20:01,000 --> 00:20:04,080 Speaker 1: in pre rut. So um, kind of northeast Louisiana is 391 00:20:04,119 --> 00:20:06,480 Speaker 1: gonna be pre rut. I think main rut for O 392 00:20:06,520 --> 00:20:07,920 Speaker 1: this area is going to be in the next week 393 00:20:08,000 --> 00:20:11,639 Speaker 1: or two UM. And then a lot of the majority 394 00:20:11,680 --> 00:20:14,560 Speaker 1: of the state areas six is a big area that's 395 00:20:14,560 --> 00:20:17,840 Speaker 1: gonna be UM heavy rut at the end of December 396 00:20:17,960 --> 00:20:20,680 Speaker 1: beginning of January. That's when I would say at least 397 00:20:20,760 --> 00:20:23,440 Speaker 1: fifty of the state is rutting in that point in time. 398 00:20:23,520 --> 00:20:26,719 Speaker 1: So right now we're in kind of like signmaking stage 399 00:20:26,800 --> 00:20:28,480 Speaker 1: starting to see a lot of a lot of scrapes, 400 00:20:28,560 --> 00:20:31,560 Speaker 1: a lot more rubs, rub lines. And because of that, 401 00:20:31,640 --> 00:20:34,520 Speaker 1: and I guess the bucks are setting their territories. I'm 402 00:20:34,520 --> 00:20:38,439 Speaker 1: getting a lot more action in the daytime and at night. UM. Honestly, 403 00:20:38,600 --> 00:20:44,600 Speaker 1: just very consistent daytime sorry, consistent camera um movement, Whereas 404 00:20:44,720 --> 00:20:47,080 Speaker 1: up until this point it's been very it's either been 405 00:20:47,119 --> 00:20:52,600 Speaker 1: nocturnal or crepuscular UM, with very little daytime or midday movement. 406 00:20:53,080 --> 00:20:56,200 Speaker 1: If you're doing some in season scouting right now in Louisiana, 407 00:20:56,440 --> 00:21:00,920 Speaker 1: what are some things that you're looking for? Uh? UM. Well, 408 00:21:01,320 --> 00:21:04,240 Speaker 1: by now all of the white oaks are are are 409 00:21:04,320 --> 00:21:08,600 Speaker 1: done dropping, UM, which is always a little a little 410 00:21:08,640 --> 00:21:11,919 Speaker 1: sad because that's just such a heavily preferred food source 411 00:21:11,960 --> 00:21:16,640 Speaker 1: early season through UM through maybe the first half of November, 412 00:21:16,880 --> 00:21:19,800 Speaker 1: middle of October, the first half of November. UM. Right 413 00:21:19,840 --> 00:21:22,920 Speaker 1: now I'm getting a lot of action on um. Uh. 414 00:21:23,280 --> 00:21:26,520 Speaker 1: Red oaks and pin oaks, UM. Those are gonna drop 415 00:21:26,920 --> 00:21:29,960 Speaker 1: from about now and to the end of the season. UM. 416 00:21:30,040 --> 00:21:32,359 Speaker 1: And then a lot of the brows is starting to 417 00:21:32,520 --> 00:21:35,280 Speaker 1: kind of clear out. We're not it's not you get 418 00:21:35,280 --> 00:21:37,160 Speaker 1: into an area with a lot of deer sign you'll 419 00:21:37,200 --> 00:21:43,080 Speaker 1: see a little um uh uh, every every top of 420 00:21:43,119 --> 00:21:45,960 Speaker 1: every brows has been snipped off or eating by now. 421 00:21:46,040 --> 00:21:48,040 Speaker 1: So I think that also has a lot to do 422 00:21:48,119 --> 00:21:50,520 Speaker 1: with why deer moving more frequently. They don't have to 423 00:21:50,520 --> 00:21:53,080 Speaker 1: move fifty yards to eat and go back late lay down, 424 00:21:53,119 --> 00:21:55,280 Speaker 1: They've got to move a couple of hundred or something 425 00:21:55,359 --> 00:21:59,240 Speaker 1: like that. So UM, right now, it's still um, still 426 00:21:59,280 --> 00:22:03,320 Speaker 1: good to set up on food source um features and 427 00:22:04,840 --> 00:22:08,720 Speaker 1: oak flats things like that. UM. But if you've got 428 00:22:08,760 --> 00:22:13,200 Speaker 1: travel routes that are trails where you know a buck 429 00:22:13,600 --> 00:22:16,199 Speaker 1: or dose are using heavily, that's and something that's in 430 00:22:16,240 --> 00:22:19,160 Speaker 1: between food sources and travel route, then that's a great 431 00:22:19,200 --> 00:22:22,119 Speaker 1: place to set off set up on. Currently, you mentioned 432 00:22:22,119 --> 00:22:25,280 Speaker 1: that daylight activity has been increasing. Do you notice better 433 00:22:25,280 --> 00:22:30,600 Speaker 1: movement right now in the mornings or evenings in Louisiana. 434 00:22:31,240 --> 00:22:36,600 Speaker 1: I'm seeing on camera Me personally, I'm seeing better morning 435 00:22:36,880 --> 00:22:42,200 Speaker 1: movement when hunting. I'm seeing more dear in the evening. Um. Now, 436 00:22:42,240 --> 00:22:44,760 Speaker 1: that's been very average for me My whole hunting career 437 00:22:44,880 --> 00:22:46,800 Speaker 1: is because obviously you're getting in trying to set up 438 00:22:46,840 --> 00:22:48,480 Speaker 1: in the dark and the light and make noise, and 439 00:22:48,480 --> 00:22:49,960 Speaker 1: you don't know what you're pushing out of an area 440 00:22:50,240 --> 00:22:52,520 Speaker 1: when you go in in the morning. So um. But 441 00:22:52,640 --> 00:22:55,440 Speaker 1: as far as activity goes more, morning has been hot, 442 00:22:55,480 --> 00:22:58,600 Speaker 1: but afternoons are are are still my favorite time hot. 443 00:22:59,119 --> 00:23:02,520 Speaker 1: Um and they're they're both productives in early December. Where 444 00:23:02,520 --> 00:23:07,720 Speaker 1: do you want to be running your trail cameras? Um? Well, 445 00:23:08,880 --> 00:23:12,119 Speaker 1: I started doing something new in the last two years 446 00:23:12,119 --> 00:23:15,320 Speaker 1: that's worked out well for me um as I've become 447 00:23:15,359 --> 00:23:20,080 Speaker 1: a little more educated on scrapes, UM and signmaking. I'm 448 00:23:20,119 --> 00:23:24,520 Speaker 1: actually trying to position my cameras not directly on scrapes, 449 00:23:25,160 --> 00:23:28,680 Speaker 1: but I would get more daytime photos of bucks being 450 00:23:28,800 --> 00:23:33,800 Speaker 1: downwind a baby to fifty yards behind a scrape along 451 00:23:33,880 --> 00:23:36,200 Speaker 1: what could be a travel route or away in which 452 00:23:36,240 --> 00:23:38,560 Speaker 1: a buck would try and get down wind of a scrape. 453 00:23:38,600 --> 00:23:42,680 Speaker 1: So anywhere that's a a slew edge, a swamp edge, 454 00:23:43,240 --> 00:23:45,560 Speaker 1: lake edge, whatever you want to say. Um, that could 455 00:23:45,560 --> 00:23:48,480 Speaker 1: be downwind from a scrape or or some sort of 456 00:23:48,920 --> 00:23:55,280 Speaker 1: signmaking or even betting. Um. I'm seeing the most quality 457 00:23:55,600 --> 00:24:01,040 Speaker 1: bucks in the daytime downwind of very literal, real sign 458 00:24:01,240 --> 00:24:02,720 Speaker 1: you know. I used to be in the habit of 459 00:24:03,119 --> 00:24:05,879 Speaker 1: hanging cameras right on top of a scrape like like 460 00:24:05,960 --> 00:24:08,520 Speaker 1: it's the Truman Show, and I'm always waiting for that 461 00:24:08,640 --> 00:24:11,119 Speaker 1: star to show up, and I wouldn't get anything to 462 00:24:11,280 --> 00:24:13,639 Speaker 1: three in the morning. And then I started putting cameras 463 00:24:13,680 --> 00:24:16,960 Speaker 1: around that area, on travel routes or pinch points or 464 00:24:17,119 --> 00:24:20,359 Speaker 1: like I said, boundary lines like water, and I'm getting 465 00:24:20,359 --> 00:24:22,960 Speaker 1: a lot more pictures. And those d are still checking those, 466 00:24:23,000 --> 00:24:24,760 Speaker 1: but they're just wind checking them from doubt. They're not 467 00:24:24,800 --> 00:24:27,080 Speaker 1: going up and peeing in them and reinfreshing them up 468 00:24:27,400 --> 00:24:29,159 Speaker 1: during the day. A lot of times they're just walking 469 00:24:29,160 --> 00:24:32,240 Speaker 1: down wind and staying in the thick stuff. So I've 470 00:24:32,280 --> 00:24:37,399 Speaker 1: always been a fan of putting cameras on um water 471 00:24:37,480 --> 00:24:39,800 Speaker 1: boundaries if you have that, which we had a lot 472 00:24:39,840 --> 00:24:44,360 Speaker 1: of down here um and uh and and and seeing 473 00:24:44,440 --> 00:24:46,840 Speaker 1: those deer that are skirting the edges, trying to stay 474 00:24:46,840 --> 00:24:49,240 Speaker 1: in the thick stuff or in the buckbrush or something 475 00:24:49,520 --> 00:24:52,639 Speaker 1: without exposing themselves out in the open. Going forward, then 476 00:24:52,680 --> 00:24:54,280 Speaker 1: the six week or so, what do you think that 477 00:24:54,320 --> 00:24:56,200 Speaker 1: bucket t D is going to be on a scale 478 00:24:56,240 --> 00:25:00,040 Speaker 1: of one detain in Louisiana. I think it's gon to 479 00:25:00,119 --> 00:25:02,440 Speaker 1: stay a seven UM for the next week or two 480 00:25:02,960 --> 00:25:05,040 Speaker 1: UM and then quickly rise up to an eight as 481 00:25:05,080 --> 00:25:07,840 Speaker 1: we get some more cold attempts and Christmas gets closer 482 00:25:07,880 --> 00:25:12,080 Speaker 1: and that prod action heats up big time and we 483 00:25:12,119 --> 00:25:13,760 Speaker 1: start to get a lot of rut action going. So 484 00:25:13,800 --> 00:25:17,240 Speaker 1: I'm gonna stick with the seven for the next week. Alright, Kyler, 485 00:25:17,280 --> 00:25:19,200 Speaker 1: great intel, good luck with the rest of your season. 486 00:25:19,320 --> 00:25:23,560 Speaker 1: Thanks for joining me. Thanks Spencer, all right and joining 487 00:25:23,640 --> 00:25:25,880 Speaker 1: us on the line. Next is Doug During, who you've 488 00:25:25,880 --> 00:25:27,880 Speaker 1: seen and heard on Meat Eater and Wired to Hunt 489 00:25:27,920 --> 00:25:31,320 Speaker 1: content in Wisconsin. Now, Dug in Wisconsin, what would you 490 00:25:31,359 --> 00:25:33,600 Speaker 1: say the buck activity has been lately on a scale 491 00:25:33,600 --> 00:25:36,359 Speaker 1: of one to ten, Well, Spencer, I think we'd be 492 00:25:36,359 --> 00:25:39,000 Speaker 1: at about a three or four. We just finished our 493 00:25:39,240 --> 00:25:45,200 Speaker 1: nine day gun season and with that big disruption, bucks 494 00:25:45,200 --> 00:25:47,560 Speaker 1: have given up on breeding and are more concerned about 495 00:25:47,760 --> 00:25:52,920 Speaker 1: security and um, you know, refueling from the from the 496 00:25:53,000 --> 00:25:59,000 Speaker 1: rut um. So the definitely the activity, the bucket activity, 497 00:25:59,000 --> 00:26:01,960 Speaker 1: the rud activities. So lay down now, you just killed 498 00:26:01,960 --> 00:26:04,399 Speaker 1: a great buck last week with your rifle. Tell us 499 00:26:04,400 --> 00:26:06,520 Speaker 1: about that hunt. Why were you in that area and 500 00:26:06,560 --> 00:26:09,800 Speaker 1: why did that buck want to be there? Well, it's 501 00:26:09,800 --> 00:26:12,800 Speaker 1: an isolated area on the farm and it's a soybean 502 00:26:13,280 --> 00:26:17,560 Speaker 1: uh field on the neighbors. And I was up there 503 00:26:17,640 --> 00:26:20,480 Speaker 1: checking on a stand and as I came up around 504 00:26:20,480 --> 00:26:22,560 Speaker 1: it's one of those areas that you creep up into, 505 00:26:23,040 --> 00:26:25,840 Speaker 1: and about three yards away, I see this deer and 506 00:26:25,880 --> 00:26:28,000 Speaker 1: it's clearly a buck. I could see his antlers from 507 00:26:28,000 --> 00:26:31,400 Speaker 1: that distance. Um. I was there checking that field, hoping 508 00:26:31,440 --> 00:26:35,119 Speaker 1: to take an ant list deer, and and there he is, 509 00:26:35,560 --> 00:26:39,040 Speaker 1: working his way from a betting area out along the 510 00:26:39,160 --> 00:26:42,199 Speaker 1: edge of being field. And I watched him for ten 511 00:26:42,280 --> 00:26:44,800 Speaker 1: minutes as he kept working closer and closer to me, 512 00:26:45,119 --> 00:26:50,280 Speaker 1: and he was completely distracted by eating those beans. He 513 00:26:50,400 --> 00:26:52,200 Speaker 1: wasn't aware of me at all, And there was good 514 00:26:52,200 --> 00:26:54,480 Speaker 1: reason for him to have been aware of me, because 515 00:26:54,480 --> 00:26:58,480 Speaker 1: it's a spot work we all often killed deer from. 516 00:26:58,520 --> 00:27:00,600 Speaker 1: So it's really interesting to see that it was very 517 00:27:00,640 --> 00:27:02,679 Speaker 1: windy day, and I think that had something to do 518 00:27:02,720 --> 00:27:04,760 Speaker 1: with it too, that you know, he could probably couldn't 519 00:27:04,800 --> 00:27:08,879 Speaker 1: hear much now. Obviously to stay like Wisconsin big egg 520 00:27:09,040 --> 00:27:12,199 Speaker 1: is really important to focus on in December. But what 521 00:27:12,240 --> 00:27:15,000 Speaker 1: are some natural food sources, Doug that you've noticed that 522 00:27:15,080 --> 00:27:18,960 Speaker 1: white tails key in on this time of year. Well, 523 00:27:19,000 --> 00:27:20,920 Speaker 1: we don't have any snow on the ground right now, 524 00:27:21,320 --> 00:27:27,040 Speaker 1: and we're seeing a lot of activity late in the day, um, 525 00:27:27,160 --> 00:27:29,760 Speaker 1: where the deer are picking up on you know, the 526 00:27:29,760 --> 00:27:32,880 Speaker 1: green that's on the edge of the fields, and then 527 00:27:32,880 --> 00:27:35,560 Speaker 1: they're in those brush and bottoms and areas where they 528 00:27:35,600 --> 00:27:39,359 Speaker 1: can do a lot of browsing as well. Are you 529 00:27:39,400 --> 00:27:43,680 Speaker 1: seeing any signmaking right now on those field edges? I 530 00:27:46,080 --> 00:27:48,600 Speaker 1: not a lot. I mean you'll see that a scrape 531 00:27:48,640 --> 00:27:51,119 Speaker 1: will get tended, like a hubscrape will will have some 532 00:27:51,200 --> 00:27:54,679 Speaker 1: activity in it. But um, from my cameras and stuff, 533 00:27:54,680 --> 00:27:58,040 Speaker 1: I'm not seeing a whole lot of of scrapes and 534 00:27:58,040 --> 00:28:01,159 Speaker 1: and that sort of thing following with sconsin's gun season. 535 00:28:01,200 --> 00:28:02,879 Speaker 1: Do you notice the shift in bedding it all on 536 00:28:02,920 --> 00:28:08,520 Speaker 1: your property? Well, and not so much with the does. Um. 537 00:28:08,680 --> 00:28:12,080 Speaker 1: The antalyst here seemed to like those those thermal covers, 538 00:28:12,160 --> 00:28:14,960 Speaker 1: like we've got some pine plantations and stuff like that. 539 00:28:15,600 --> 00:28:18,440 Speaker 1: But um, we do certainly notice that the bucks are 540 00:28:18,520 --> 00:28:23,720 Speaker 1: a little more Uh, they're down in bottoms and heidi holes, 541 00:28:23,800 --> 00:28:27,360 Speaker 1: and you know they're they're looking for security. If you're 542 00:28:27,359 --> 00:28:30,520 Speaker 1: doing a morning set up in early December, what does 543 00:28:30,520 --> 00:28:32,880 Speaker 1: that look like? I know, obviously your evening setups gonna 544 00:28:32,880 --> 00:28:34,680 Speaker 1: be looking over a food source, but what does the 545 00:28:34,760 --> 00:28:38,600 Speaker 1: morning set up look like for you in Wisconsin? Well, 546 00:28:38,640 --> 00:28:43,520 Speaker 1: we had a successful muzzleloader hunt yesterday morning, and my 547 00:28:43,600 --> 00:28:48,000 Speaker 1: friend Eric Cannony and his wife were up and uh 548 00:28:48,320 --> 00:28:52,000 Speaker 1: the dose, dose and funds came out of hardwoods and 549 00:28:52,040 --> 00:28:55,240 Speaker 1: they were heading into bedding in a pine plantation. They 550 00:28:55,280 --> 00:28:57,880 Speaker 1: caught him in between, and we were set up for that. 551 00:28:58,840 --> 00:29:02,560 Speaker 1: If you got to choose your ideal weather forecast for December, dog, 552 00:29:02,880 --> 00:29:06,360 Speaker 1: what is it that you'd be looking for. Well, I'd 553 00:29:06,360 --> 00:29:08,440 Speaker 1: like a little less wind. I'd like to have some 554 00:29:08,480 --> 00:29:12,480 Speaker 1: snow on the ground and those temperatures, um that we 555 00:29:12,520 --> 00:29:15,480 Speaker 1: can all stand. I'm not a guy who likes to 556 00:29:15,520 --> 00:29:18,640 Speaker 1: have it real cold. Um. If I could have snow 557 00:29:18,640 --> 00:29:21,520 Speaker 1: on the ground and temperatures in the twenties and low thirties, 558 00:29:21,560 --> 00:29:24,880 Speaker 1: I'd be real happy going forward. Then, in the next 559 00:29:24,880 --> 00:29:26,920 Speaker 1: week or so, what do you think that buckettv is 560 00:29:26,960 --> 00:29:28,640 Speaker 1: going to be on a scale of one to ten 561 00:29:28,720 --> 00:29:33,120 Speaker 1: in Wisconsin. I think it's gonna still be down in 562 00:29:33,160 --> 00:29:36,600 Speaker 1: that three to four range. But with a few days 563 00:29:36,640 --> 00:29:41,280 Speaker 1: of calming, um, we may uh pick up again. You know, 564 00:29:41,320 --> 00:29:46,280 Speaker 1: another another round of of breeding happening here in December. Also, 565 00:29:46,880 --> 00:29:49,080 Speaker 1: all right, Doug, congrats again on the great buck. Thanks 566 00:29:49,120 --> 00:29:52,520 Speaker 1: for joining me. Thank you, Spencer, happy to be here 567 00:29:53,400 --> 00:29:55,280 Speaker 1: all right and joining us on the line. Last is 568 00:29:55,400 --> 00:30:00,480 Speaker 1: Vince Bodyatta from the Chasing Public YouTube channel in Tennessee. Now, Vincent, Tennessee. 569 00:30:00,560 --> 00:30:02,520 Speaker 1: What would you say the buck activity has been lately 570 00:30:02,680 --> 00:30:05,760 Speaker 1: on a scale of one to ten. Uh, lately, I 571 00:30:05,800 --> 00:30:12,160 Speaker 1: would say it's probably around anywhere between a six to seven. UM, 572 00:30:12,200 --> 00:30:18,320 Speaker 1: I would definitely say it's it's past the peak breeding portion. UM. 573 00:30:18,880 --> 00:30:22,280 Speaker 1: But no question, you can definitely catch a cruiser person 574 00:30:22,360 --> 00:30:24,920 Speaker 1: around right now. Now, you just killed a great buck 575 00:30:25,000 --> 00:30:27,720 Speaker 1: on Thanksgiving a day tell us about that hunt. Why 576 00:30:27,720 --> 00:30:29,720 Speaker 1: were you in that area? And why did that buck 577 00:30:29,720 --> 00:30:36,000 Speaker 1: want to be there? Uh? Yeah, it was man, That's 578 00:30:36,080 --> 00:30:40,040 Speaker 1: That's definitely what I'll never forget. UM. You know that 579 00:30:40,080 --> 00:30:44,480 Speaker 1: spot we actually scouted really hard during the summertime, and uh, 580 00:30:44,520 --> 00:30:46,440 Speaker 1: we had a lot of good a lot of good 581 00:30:46,440 --> 00:30:49,960 Speaker 1: bucks around. UM. It looked like it had just not 582 00:30:50,120 --> 00:30:53,200 Speaker 1: really been that pressured. UM. Didn't see a lot of 583 00:30:53,280 --> 00:30:56,480 Speaker 1: human sign or anything like that. UM. So it's definitely 584 00:30:56,520 --> 00:30:58,960 Speaker 1: a spot that we were keeping our eye on. UM. 585 00:30:59,000 --> 00:31:01,320 Speaker 1: And it had a lot of good just natural food 586 00:31:01,360 --> 00:31:03,080 Speaker 1: sources around there. So I knew it was going to 587 00:31:03,160 --> 00:31:05,680 Speaker 1: be a spot UM that I could pick up on 588 00:31:05,720 --> 00:31:09,880 Speaker 1: the latter half of the season, and UM, I just thought, 589 00:31:10,000 --> 00:31:12,640 Speaker 1: you know, it was Thanksgiving Day, it had been raining 590 00:31:12,680 --> 00:31:15,880 Speaker 1: all day. I figured, you know, there's probably wasn't any 591 00:31:15,880 --> 00:31:19,560 Speaker 1: pressure there in the morning. UM, and we just decided 592 00:31:19,600 --> 00:31:24,360 Speaker 1: to hang out there, and you know, whitetailed. Luck, it 593 00:31:24,480 --> 00:31:26,880 Speaker 1: just happened. It was it just it just turned on 594 00:31:27,000 --> 00:31:29,360 Speaker 1: in the right way. Earlier in the season, we did 595 00:31:29,480 --> 00:31:31,920 Speaker 1: hunt that spot a few times, but we did end 596 00:31:32,000 --> 00:31:33,560 Speaker 1: up having a lot of pressure there, so we kind 597 00:31:33,560 --> 00:31:35,640 Speaker 1: of backed off it. And and now it just seems 598 00:31:35,640 --> 00:31:38,720 Speaker 1: like they just kind of filtered back in in late November, 599 00:31:38,760 --> 00:31:42,320 Speaker 1: early December and Tennessee. Do you notice better movement in 600 00:31:42,320 --> 00:31:44,720 Speaker 1: the morning or evening? I would say, if you have 601 00:31:44,800 --> 00:31:48,840 Speaker 1: the food sources in the evening, UM, if not, then 602 00:31:48,960 --> 00:31:51,920 Speaker 1: I would probably hunt the mornings right now. And what 603 00:31:51,960 --> 00:31:53,880 Speaker 1: food sources are relevant right now in that part of 604 00:31:53,880 --> 00:31:58,880 Speaker 1: the country. Anything green, just natural brows, you know, clover 605 00:31:59,440 --> 00:32:01,840 Speaker 1: that type of up. If you have the hot the 606 00:32:02,400 --> 00:32:05,880 Speaker 1: um the hot acorn spots so there's still acorns left over, 607 00:32:06,360 --> 00:32:09,720 Speaker 1: I would definitely be on those. UM. But anything green 608 00:32:11,240 --> 00:32:13,480 Speaker 1: you mentioned it had been raining when you killed that buck. 609 00:32:13,720 --> 00:32:16,080 Speaker 1: What is the idea weather that you're looking for in 610 00:32:16,160 --> 00:32:21,080 Speaker 1: December in Tennessee. In December in Tennessee, I'm looking for 611 00:32:21,320 --> 00:32:24,320 Speaker 1: where you have, um, like a three or four days 612 00:32:24,360 --> 00:32:28,720 Speaker 1: stretch of just constant temperature and then if it gets 613 00:32:28,920 --> 00:32:32,840 Speaker 1: you know, even a drop of you know, seven to 614 00:32:32,880 --> 00:32:36,680 Speaker 1: ten degrees being this far south, it's enough to be 615 00:32:36,760 --> 00:32:40,320 Speaker 1: considered like a cold front or a cold snap. Um. 616 00:32:40,360 --> 00:32:42,560 Speaker 1: And that really seems to be to be putting deer 617 00:32:42,560 --> 00:32:45,640 Speaker 1: on the feet. If you're doing some in season scouting 618 00:32:45,720 --> 00:32:47,560 Speaker 1: this time of year, what are some things that you're 619 00:32:47,560 --> 00:32:53,520 Speaker 1: looking for. I'm looking for big tracks, big tracks, fresh tracks, um. 620 00:32:53,560 --> 00:32:57,560 Speaker 1: And I'm looking for the actual concentrations of deer now 621 00:32:57,600 --> 00:33:01,480 Speaker 1: that we're already past the actual peak reading season or 622 00:33:01,480 --> 00:33:05,720 Speaker 1: a portion of the season, I'm looking for those concentrations 623 00:33:05,720 --> 00:33:07,640 Speaker 1: to do. I feel like if I can find those 624 00:33:07,680 --> 00:33:12,080 Speaker 1: concentrations to deer, then you know, as far as success, right, 625 00:33:12,160 --> 00:33:14,640 Speaker 1: I'll just end up being more successful just in general 626 00:33:14,720 --> 00:33:17,840 Speaker 1: as far as being able to harvest more meat. Historically, 627 00:33:17,880 --> 00:33:20,080 Speaker 1: when we get beyond that peak breading day, what do 628 00:33:20,120 --> 00:33:23,800 Speaker 1: you notice for signmaking in Tennessee. I do notice once 629 00:33:23,840 --> 00:33:28,920 Speaker 1: we start coming into December, Um that I will start 630 00:33:29,000 --> 00:33:32,720 Speaker 1: to get more and more bucks coming back through and 631 00:33:32,800 --> 00:33:38,080 Speaker 1: checking on their on their normal scrape patterns. Um. You 632 00:33:38,120 --> 00:33:40,040 Speaker 1: know there's a portion of there through November where they 633 00:33:40,120 --> 00:33:43,360 Speaker 1: just stopped. Once you come into December, they do start 634 00:33:43,440 --> 00:33:47,800 Speaker 1: checking those. Um. But I really focus more on the 635 00:33:47,880 --> 00:33:50,560 Speaker 1: food side and then the signmaking to be honest, once 636 00:33:50,600 --> 00:33:53,640 Speaker 1: it comes into December. Going forward, then in the next 637 00:33:53,640 --> 00:33:55,880 Speaker 1: week or so, what do you think that budget activity 638 00:33:55,920 --> 00:33:57,520 Speaker 1: is going to be on a scale of one to 639 00:33:57,600 --> 00:34:03,440 Speaker 1: ten in Tennessee, I'd say it's probably anywhere between afford 640 00:34:04,080 --> 00:34:07,080 Speaker 1: six and a half. There's better parts of Tennessee where 641 00:34:07,200 --> 00:34:11,040 Speaker 1: it is very mountainous and I'm not too familiar on 642 00:34:11,160 --> 00:34:14,359 Speaker 1: that side, but where I'm at in middle Tennessee where 643 00:34:14,400 --> 00:34:18,040 Speaker 1: the train is a little more approachable. Um, it just 644 00:34:18,040 --> 00:34:21,160 Speaker 1: seems during that time, once we into December, if you 645 00:34:21,200 --> 00:34:24,200 Speaker 1: can find the concentration to deer, you're still gonna get 646 00:34:24,239 --> 00:34:26,720 Speaker 1: your good boys. You may not get that one slammer 647 00:34:26,800 --> 00:34:29,359 Speaker 1: that comes through, but you're still gonna have quality deer 648 00:34:29,640 --> 00:34:33,359 Speaker 1: that comes through our advanced Congrats again on the great Deer. 649 00:34:33,560 --> 00:34:36,120 Speaker 1: Thanks for joining me all right, man, appreciate the suncer 650 00:34:37,960 --> 00:34:40,920 Speaker 1: and that concludes this week's episode of Wired to Haunt's 651 00:34:40,960 --> 00:34:44,240 Speaker 1: rout Fresh Radio. Thanks to David Kyler, Doug in Vince 652 00:34:44,280 --> 00:34:46,799 Speaker 1: for joining me, and thank you guys for listening. As 653 00:34:46,800 --> 00:34:49,880 Speaker 1: a reminder, you can find this week's reading materials linked 654 00:34:49,920 --> 00:34:52,520 Speaker 1: in the description of this episode, as well as a 655 00:34:52,560 --> 00:34:55,719 Speaker 1: link to the one Week in November gear package giveaway 656 00:34:55,920 --> 00:34:58,239 Speaker 1: again that is totally free to enter, and if you 657 00:34:58,280 --> 00:35:00,360 Speaker 1: go there and enter your email address, you're going to 658 00:35:00,440 --> 00:35:02,240 Speaker 1: be in the running for a whole bunch of great 659 00:35:02,239 --> 00:35:05,600 Speaker 1: gear that you saw us us in one week in November. 660 00:35:05,920 --> 00:35:08,879 Speaker 1: As we've heard many big buck killers say, the late 661 00:35:08,920 --> 00:35:11,279 Speaker 1: season can be the great season. So I hope you're 662 00:35:11,320 --> 00:35:13,960 Speaker 1: still out there and still after some white tails, and 663 00:35:14,000 --> 00:35:16,160 Speaker 1: I will talk to you next week, but until then, 664 00:35:16,480 --> 00:35:17,399 Speaker 1: stay Wired to hun