1 00:00:01,280 --> 00:00:04,840 Speaker 1: Welcome to Wired to Hunt's rutfresh Radio, bringing you the 2 00:00:04,920 --> 00:00:08,640 Speaker 1: latest reports from the whitetail Woods, presented by First Light, 3 00:00:08,960 --> 00:00:13,280 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:13,840 --> 00:00:18,560 Speaker 1: First Light Go farther, stay longer, and now your hosts, 5 00:00:18,840 --> 00:00:20,799 Speaker 1: Casey Smith and Tyler Jones. 6 00:00:21,200 --> 00:00:24,320 Speaker 2: Welcome to rtfresh Radio. I'm your host k Cy Smith. 7 00:00:24,800 --> 00:00:29,000 Speaker 2: The October lawl and the Acorns are making things tough 8 00:00:29,040 --> 00:00:31,200 Speaker 2: around the country with some weird weather thrown in there 9 00:00:31,240 --> 00:00:34,920 Speaker 2: as well. However, man made food sources seem to be 10 00:00:35,080 --> 00:00:38,880 Speaker 2: the ticket this late October for killing big giant bucks. 11 00:00:39,040 --> 00:00:40,120 Speaker 3: This is Retfresh. 12 00:00:40,320 --> 00:00:41,040 Speaker 2: Let's go. 13 00:00:48,240 --> 00:00:52,120 Speaker 4: Welcome to Retfresh Radio. I'm your host, Tyler Jones and 14 00:00:52,159 --> 00:00:55,040 Speaker 4: I'm sitting next to Casey Smith. This podcast is brought 15 00:00:55,080 --> 00:00:57,720 Speaker 4: to you by First Light, and these two guys are 16 00:00:57,720 --> 00:01:01,120 Speaker 4: brought to you by the Nebraska Furniture Remark couch Man 17 00:01:01,200 --> 00:01:01,800 Speaker 4: bringing it back. 18 00:01:02,520 --> 00:01:03,840 Speaker 2: Yeah that's cool. 19 00:01:04,200 --> 00:01:06,800 Speaker 4: So here we are sitting on the couch looking at 20 00:01:06,959 --> 00:01:11,280 Speaker 4: a front rolling in Casey. The front has some moisture 21 00:01:11,319 --> 00:01:15,119 Speaker 4: in it, maybe some lower temps, but I think more 22 00:01:15,160 --> 00:01:17,200 Speaker 4: than anything, we're going to see those lower tips hitting 23 00:01:17,319 --> 00:01:21,880 Speaker 4: later this week. And there's a lot of anticipation, it 24 00:01:22,000 --> 00:01:24,720 Speaker 4: seems like, across the country about what's going to happen 25 00:01:24,840 --> 00:01:28,360 Speaker 4: with this this drop, and you know, as usual, the 26 00:01:28,360 --> 00:01:30,679 Speaker 4: front's going to hit different points of the country at 27 00:01:30,720 --> 00:01:34,360 Speaker 4: different times throughout the week here. But I think it's 28 00:01:34,360 --> 00:01:37,120 Speaker 4: something that is to be noted that there are a 29 00:01:37,160 --> 00:01:39,119 Speaker 4: lot of people right now that need to be getting 30 00:01:39,120 --> 00:01:42,240 Speaker 4: on a weather app and checking out when things drop 31 00:01:42,360 --> 00:01:45,399 Speaker 4: and figuring out via on X or whoever they use, 32 00:01:46,120 --> 00:01:48,840 Speaker 4: where is a place that I can hunt a north wind. 33 00:01:48,680 --> 00:01:51,360 Speaker 2: That's exactly right, figure out what your north wind stand is, 34 00:01:51,400 --> 00:01:53,720 Speaker 2: and get there because it is coming in from the 35 00:01:53,760 --> 00:01:58,720 Speaker 2: north northwest. By the way, after the first front day 36 00:01:59,080 --> 00:02:02,160 Speaker 2: oftentimes you get to northeast, So just keep that in mind. 37 00:02:02,840 --> 00:02:04,840 Speaker 2: I like those northeast because it's like the second day 38 00:02:04,840 --> 00:02:07,120 Speaker 2: and everything's like kind of chilled out pretty good. I'm 39 00:02:07,120 --> 00:02:09,359 Speaker 2: trying to capitalize on this this week. I'm headed up 40 00:02:09,800 --> 00:02:12,760 Speaker 2: north country from here go do a little hunting. And 41 00:02:13,760 --> 00:02:19,520 Speaker 2: we are actually both have been scrambling to increase our 42 00:02:20,200 --> 00:02:23,680 Speaker 2: personal on our own properties, our man made food sources 43 00:02:24,400 --> 00:02:28,240 Speaker 2: this week because in Texas food plots, you know, you 44 00:02:28,280 --> 00:02:30,600 Speaker 2: can watch some guys from up north or even in 45 00:02:30,600 --> 00:02:33,640 Speaker 2: the Midwest, you know, do the food plot thing and 46 00:02:33,680 --> 00:02:36,480 Speaker 2: it looks awesome and I love it, and we do 47 00:02:36,520 --> 00:02:38,120 Speaker 2: all that work down here, and then you end up 48 00:02:38,160 --> 00:02:41,680 Speaker 2: with just dirt because the rains don't come or the rain. 49 00:02:41,880 --> 00:02:44,000 Speaker 2: What happened in my house, at least I have poor soil, 50 00:02:44,160 --> 00:02:47,960 Speaker 2: very sandy soil. The rains came, germinated the seeds, and 51 00:02:48,000 --> 00:02:50,960 Speaker 2: then the oven turned on and cooked all those seeds. 52 00:02:51,440 --> 00:02:52,160 Speaker 4: So you have bread. 53 00:02:52,360 --> 00:02:54,760 Speaker 2: Yeah, I have all these loaves of bread, and deer 54 00:02:54,760 --> 00:02:58,560 Speaker 2: don't eat them. So it's it's kind of like try 55 00:02:58,600 --> 00:03:00,960 Speaker 2: and try again down here. So we've been trying to 56 00:03:00,960 --> 00:03:02,960 Speaker 2: get some food plot stuff out in the ground. I've 57 00:03:03,000 --> 00:03:07,480 Speaker 2: got some cereal rye to put out cereal man, And 58 00:03:07,560 --> 00:03:11,120 Speaker 2: it seems as if a lot of people are having 59 00:03:11,160 --> 00:03:14,359 Speaker 2: success right now on those type of food plots. Yeah 60 00:03:14,520 --> 00:03:15,240 Speaker 2: so I. 61 00:03:15,520 --> 00:03:20,320 Speaker 4: Uh so I actually hunted, so we planted a similar time. 62 00:03:20,919 --> 00:03:24,600 Speaker 4: Uh and mina ended up coming up here. I've got 63 00:03:24,600 --> 00:03:27,200 Speaker 4: a little bit of wheat coming up. It's not that great, 64 00:03:27,240 --> 00:03:29,960 Speaker 4: but it's okay. And Michael and I have sat one 65 00:03:30,000 --> 00:03:32,440 Speaker 4: time back there and we had a group of pigs 66 00:03:32,480 --> 00:03:35,840 Speaker 4: come in and it sounded like the cookie monster was 67 00:03:35,880 --> 00:03:39,760 Speaker 4: in the field. With they're just eating these little tiny 68 00:03:39,760 --> 00:03:42,320 Speaker 4: wheat sprouts, you know, and they were thin. It's like 69 00:03:42,800 --> 00:03:47,560 Speaker 4: it's for whatever it's worth. It's tasty enough that hogs 70 00:03:47,560 --> 00:03:50,040 Speaker 4: will take that big old mouth and eat like one 71 00:03:50,240 --> 00:03:53,800 Speaker 4: wisp of a week, you know, and at a time, 72 00:03:53,880 --> 00:03:55,520 Speaker 4: it's like it means enough to them. And I think 73 00:03:55,520 --> 00:03:57,480 Speaker 4: that deer feel the same way about it seems like it. 74 00:03:57,520 --> 00:03:59,720 Speaker 2: I just wonder what their little taste buds are like, 75 00:04:00,560 --> 00:04:03,880 Speaker 2: because I've eaten a lot of things in like just 76 00:04:03,960 --> 00:04:06,120 Speaker 2: little grass whips are just about as low as it 77 00:04:06,160 --> 00:04:07,480 Speaker 2: gets on the taste scale. 78 00:04:09,320 --> 00:04:11,360 Speaker 3: Yeah, for sure, So it means over that. 79 00:04:12,960 --> 00:04:16,159 Speaker 2: But this past week or not this past week, but recently, 80 00:04:16,600 --> 00:04:20,400 Speaker 2: I also set a food plot on some public funny enough, 81 00:04:20,680 --> 00:04:24,599 Speaker 2: that was pretty much just brascas, which is the Northern 82 00:04:24,600 --> 00:04:27,920 Speaker 2: word for turnips. And oh, I thought you said Braskers. Yeah, 83 00:04:28,240 --> 00:04:32,760 Speaker 2: it wasn't Inbraskers, but it was. It was some purple 84 00:04:32,800 --> 00:04:36,320 Speaker 2: tops and some eyesicle radish. It looked like and uh, 85 00:04:37,160 --> 00:04:39,279 Speaker 2: I have never got to sit and watch deer just 86 00:04:39,320 --> 00:04:42,559 Speaker 2: do the thing and that, and it was very very cool. 87 00:04:43,640 --> 00:04:45,719 Speaker 2: It's it's it kind of gives you a little insight 88 00:04:45,760 --> 00:04:49,000 Speaker 2: in the way deer's minds work. They like don't stop moving, 89 00:04:49,240 --> 00:04:52,120 Speaker 2: even though they could just stand in one place and 90 00:04:52,160 --> 00:04:54,960 Speaker 2: eat it the whole time, but they just meander all 91 00:04:55,000 --> 00:04:56,080 Speaker 2: the way through that stuff. 92 00:04:56,680 --> 00:04:56,800 Speaker 4: Uh. 93 00:04:56,960 --> 00:04:59,279 Speaker 2: And I was just interested to see how they eat 94 00:04:59,320 --> 00:05:03,520 Speaker 2: that stuff too, because they don't like pull it up 95 00:05:04,040 --> 00:05:07,120 Speaker 2: and eat the whole green. They don't like pull it 96 00:05:07,200 --> 00:05:10,320 Speaker 2: up and eat the whole like tuber or whatever you 97 00:05:10,360 --> 00:05:14,280 Speaker 2: wanna call it, the whole root. They like bite the 98 00:05:14,320 --> 00:05:17,799 Speaker 2: top off and then chew like the stalk per portion 99 00:05:18,400 --> 00:05:21,160 Speaker 2: and don't eat the leaves and just throw it down 100 00:05:21,920 --> 00:05:24,080 Speaker 2: and then they'll go along. And you know, because they 101 00:05:24,080 --> 00:05:24,840 Speaker 2: don't only have teeth on. 102 00:05:24,760 --> 00:05:26,279 Speaker 4: The bok, this is a time of year thing where 103 00:05:26,320 --> 00:05:28,480 Speaker 4: they would do something different when it got colder or 104 00:05:28,520 --> 00:05:29,240 Speaker 4: something potentially. 105 00:05:29,279 --> 00:05:31,279 Speaker 2: But I don't know enough about this stuff, you know, 106 00:05:31,279 --> 00:05:32,800 Speaker 2: because we don't get the hunt them that often. But 107 00:05:32,839 --> 00:05:34,760 Speaker 2: it seems as if once it gets really cold, they 108 00:05:34,760 --> 00:05:39,480 Speaker 2: go to eating the turn it more from what I've heard, right, 109 00:05:39,760 --> 00:05:42,640 Speaker 2: but these deer would go around and take them bottom 110 00:05:42,720 --> 00:05:46,240 Speaker 2: teeth and scrape on the You can hear them just 111 00:05:47,000 --> 00:05:49,599 Speaker 2: on those turnips out there, scraping off shavings and eating 112 00:05:49,640 --> 00:05:53,679 Speaker 2: that basically eating dirt. Yeah basically, but that video actually 113 00:05:53,720 --> 00:05:55,719 Speaker 2: is going to come out on the Element YouTube channel 114 00:05:55,720 --> 00:06:00,280 Speaker 2: here pretty soon. And there was a big buck into 115 00:06:00,320 --> 00:06:03,280 Speaker 2: the turniplot when don't say that, but yeah, man, like 116 00:06:03,480 --> 00:06:05,880 Speaker 2: it's I kind of opened my eyes to the fact 117 00:06:05,880 --> 00:06:09,279 Speaker 2: that those things can be pretty bad because I feel like, 118 00:06:09,320 --> 00:06:12,839 Speaker 2: you never see you know, deer eating those things around here, 119 00:06:12,880 --> 00:06:14,800 Speaker 2: but I think they do. And I think it's just 120 00:06:14,839 --> 00:06:18,359 Speaker 2: hard to see the deer pressure on a field like 121 00:06:18,400 --> 00:06:20,400 Speaker 2: that because they just you look at it and you're like, oh, 122 00:06:20,520 --> 00:06:23,120 Speaker 2: nothing's eating that because it's all there still. Well, a 123 00:06:23,160 --> 00:06:25,360 Speaker 2: decent food plot has more food than the deer can eat, 124 00:06:25,640 --> 00:06:25,839 Speaker 2: you know. 125 00:06:26,000 --> 00:06:28,800 Speaker 4: Yeah, but yeah, anyways, it's, uh, it seems like, at 126 00:06:28,880 --> 00:06:31,719 Speaker 4: least from from my intel, that a lot of people 127 00:06:31,800 --> 00:06:35,840 Speaker 4: right now are really preferring that green food source, even 128 00:06:35,880 --> 00:06:39,240 Speaker 4: over corn. Uh as far as like fuel corn, you know, 129 00:06:39,279 --> 00:06:42,880 Speaker 4: I guess you'd say, and it's it's it seems like 130 00:06:43,040 --> 00:06:44,000 Speaker 4: it's it's working. 131 00:06:44,040 --> 00:06:45,279 Speaker 2: It's for whatever reason. You know. 132 00:06:45,720 --> 00:06:47,919 Speaker 4: I've heard a lot of people in certain areas have 133 00:06:48,200 --> 00:06:51,640 Speaker 4: acrons like they've never seen I know for us around here, 134 00:06:52,400 --> 00:06:55,400 Speaker 4: we haven't seen just a ton even uh, you know, 135 00:06:55,440 --> 00:06:58,240 Speaker 4: the day I had pretty good success on public land 136 00:06:58,279 --> 00:07:00,560 Speaker 4: and didn't see hardly any acrons around there. There's a 137 00:07:00,600 --> 00:07:03,120 Speaker 4: few here and there, and I mean that's pretty ideal 138 00:07:03,160 --> 00:07:05,560 Speaker 4: where you know, you can you can really focus in 139 00:07:05,640 --> 00:07:08,800 Speaker 4: by the hot tree. Yeah, but it hasn't been just 140 00:07:09,080 --> 00:07:11,840 Speaker 4: it seemed like it's just been crazy around here. But 141 00:07:12,040 --> 00:07:14,600 Speaker 4: I guess if there's enough of them too for the deer, 142 00:07:14,880 --> 00:07:17,440 Speaker 4: then I mean there's certainly like ar trail cameras have 143 00:07:17,480 --> 00:07:18,960 Speaker 4: been slow the last week or two. 144 00:07:18,960 --> 00:07:21,840 Speaker 2: I feel like they have man real slow. And I 145 00:07:21,880 --> 00:07:25,000 Speaker 2: think that we have true cameras, you know, in different 146 00:07:25,000 --> 00:07:27,120 Speaker 2: parts of the country even and it's that way, so 147 00:07:28,240 --> 00:07:29,960 Speaker 2: there's some stuff going on. A lot of us need 148 00:07:29,960 --> 00:07:33,640 Speaker 2: a frost too. Is that frost will knocked down a 149 00:07:33,640 --> 00:07:35,800 Speaker 2: lot of that natural browse outside the acrons. You know, 150 00:07:35,840 --> 00:07:38,040 Speaker 2: it even rots some acrons if you get it cold enough. 151 00:07:38,080 --> 00:07:42,640 Speaker 2: But you started out talking about this cold front that's 152 00:07:42,680 --> 00:07:44,360 Speaker 2: coming in. This is like a white till high week 153 00:07:44,400 --> 00:07:47,920 Speaker 2: right now. I'm about to go hunt it. But I'm 154 00:07:47,920 --> 00:07:50,800 Speaker 2: a little torn, and I want your advice for everybody 155 00:07:50,880 --> 00:07:55,000 Speaker 2: here as well, because you've killed seven bucks already this year. 156 00:07:55,960 --> 00:07:58,600 Speaker 2: Actually it's not that many, but it's half that you 157 00:07:58,680 --> 00:08:04,160 Speaker 2: have laugh you've done some killing man, and congrats on that. 158 00:08:04,240 --> 00:08:07,800 Speaker 2: But and I've hunted with you a long time, and 159 00:08:07,840 --> 00:08:11,600 Speaker 2: I know that you think about this stuff very, very 160 00:08:11,600 --> 00:08:15,240 Speaker 2: strenuously and make some good decisions. All that to say, 161 00:08:15,880 --> 00:08:18,360 Speaker 2: we have a cold front rolling through. It's at a 162 00:08:18,360 --> 00:08:21,640 Speaker 2: good time of year, but it's actually not like top 163 00:08:21,720 --> 00:08:25,720 Speaker 2: notch rut dates. It's just on the cusp. Do you 164 00:08:25,760 --> 00:08:29,320 Speaker 2: treat it differently than a November sixth cold front, like 165 00:08:29,400 --> 00:08:32,520 Speaker 2: say October thirty, Like the thirtieth is like the heart 166 00:08:32,520 --> 00:08:35,160 Speaker 2: of the cold front right now? I think I think 167 00:08:35,160 --> 00:08:38,280 Speaker 2: you do what do you do different? I think I 168 00:08:38,360 --> 00:08:43,640 Speaker 2: still would be hunting two things, and it would be 169 00:08:43,880 --> 00:08:46,560 Speaker 2: more than likely I would hunt. And you know, when 170 00:08:46,559 --> 00:08:49,240 Speaker 2: you show up, the big part of when you show 171 00:08:49,320 --> 00:08:51,559 Speaker 2: up to a place is taking a little time to 172 00:08:51,640 --> 00:08:53,959 Speaker 2: understand what's going on. It's like it's like when you 173 00:08:54,000 --> 00:08:56,200 Speaker 2: get to a riverbed as a fly fisherman, you can 174 00:08:56,240 --> 00:08:59,520 Speaker 2: go to casting, or you can watch for rises, or 175 00:08:59,640 --> 00:09:02,880 Speaker 2: you can flip over rocks. I really try say that, 176 00:09:02,920 --> 00:09:04,840 Speaker 2: I really try to not have a fly tight on 177 00:09:04,880 --> 00:09:07,560 Speaker 2: whenever I go. I don't. I'm the worst dude. 178 00:09:07,640 --> 00:09:10,360 Speaker 4: I can't stand it. I'm like, I ain't flipping that 179 00:09:10,440 --> 00:09:11,400 Speaker 4: rock over like case do it. 180 00:09:11,480 --> 00:09:14,000 Speaker 3: But there are times of the year that you just 181 00:09:14,040 --> 00:09:15,400 Speaker 3: know having a hopper on is gonna work. 182 00:09:15,440 --> 00:09:17,880 Speaker 4: Yeah. Yeah, so we're kind of time I like to fish. 183 00:09:18,880 --> 00:09:21,440 Speaker 2: We're kind of in that with with the sure coming 184 00:09:21,440 --> 00:09:23,400 Speaker 2: Markene right now is fly fish and talk to bitter. 185 00:09:23,320 --> 00:09:27,760 Speaker 4: Stop it is his part. Maybe it resonates. Yeah, no, 186 00:09:27,840 --> 00:09:30,480 Speaker 4: so I think that I guess what I'm saying is 187 00:09:32,720 --> 00:09:36,120 Speaker 4: outside of seeing what's what's under the rock or what 188 00:09:36,280 --> 00:09:38,560 Speaker 4: rises are happening right now in an area, I would 189 00:09:38,880 --> 00:09:40,920 Speaker 4: go into an area the first afternoon, I get there 190 00:09:40,920 --> 00:09:43,840 Speaker 4: without knowing anything, and I would either hunt a scrape 191 00:09:43,920 --> 00:09:48,559 Speaker 4: that I can find, or I would hunt deer very 192 00:09:48,600 --> 00:09:52,840 Speaker 4: similar to early season, just with the knowing that they're 193 00:09:52,880 --> 00:09:56,520 Speaker 4: going to move earlier. So essentially probably if you had 194 00:09:56,760 --> 00:09:59,840 Speaker 4: just if you could just pick exactly how it goes down, 195 00:09:59,880 --> 00:10:03,160 Speaker 4: you hunt, you know, one hundred yards from buck betting 196 00:10:03,440 --> 00:10:06,960 Speaker 4: or a betting area that typically will hold bucks right 197 00:10:07,360 --> 00:10:12,000 Speaker 4: and in between one hundred yards towards the food source 198 00:10:12,040 --> 00:10:14,760 Speaker 4: that they're going to destinate in that night. So, uh, 199 00:10:14,960 --> 00:10:19,200 Speaker 4: that's like ideal for me. Now if you're I mean, 200 00:10:19,360 --> 00:10:21,560 Speaker 4: I have an idea about the area you're going to 201 00:10:21,960 --> 00:10:25,800 Speaker 4: potentially and there may not be a great just food source, 202 00:10:25,840 --> 00:10:27,920 Speaker 4: and there may not be a great pattern of travel. 203 00:10:28,160 --> 00:10:31,400 Speaker 4: So I think in that case, definitely finding pinches and 204 00:10:31,400 --> 00:10:34,080 Speaker 4: stuff is gonna is going to still be okay, you know. 205 00:10:34,400 --> 00:10:36,160 Speaker 4: I mean, if you don't have the food source, you 206 00:10:36,200 --> 00:10:39,600 Speaker 4: don't have the betting nailed down, then it's gonna be okay. 207 00:10:39,679 --> 00:10:40,959 Speaker 4: I don't think. I think you can hunt them a 208 00:10:41,000 --> 00:10:42,920 Speaker 4: lot like a rud in a pinch or a funnel 209 00:10:43,000 --> 00:10:48,200 Speaker 4: and just hope that that deer funnels through there going 210 00:10:48,240 --> 00:10:50,000 Speaker 4: to food in one way or another, or going to 211 00:10:50,040 --> 00:10:51,680 Speaker 4: a scrape in one way or another. But I just 212 00:10:51,720 --> 00:10:53,600 Speaker 4: don't know if they're going to be just in a 213 00:10:53,720 --> 00:10:55,079 Speaker 4: in a zombie walk yet, you know. 214 00:10:55,080 --> 00:10:58,120 Speaker 2: Yeah, for sure. Here's my thoughts on it. My best 215 00:10:58,160 --> 00:11:02,160 Speaker 2: experience with this a cold front at this time is, 216 00:11:02,800 --> 00:11:07,400 Speaker 2: I believe twenty nineteen Iowa. Is that right? We were 217 00:11:07,480 --> 00:11:11,520 Speaker 2: up there? Yep, we had a cold front roll through, 218 00:11:11,520 --> 00:11:14,200 Speaker 2: I believe on the twenty eighth. Yeah, I think that's right. 219 00:11:14,440 --> 00:11:16,920 Speaker 2: Was the first day it came in. It was like 220 00:11:17,000 --> 00:11:19,320 Speaker 2: six inches of snow. We were freaking out. We didn't 221 00:11:19,320 --> 00:11:19,920 Speaker 2: know what we were doing. 222 00:11:20,040 --> 00:11:20,240 Speaker 5: You know. 223 00:11:20,480 --> 00:11:25,240 Speaker 2: It's so cold, but we saw deer frolicking, for one, 224 00:11:25,320 --> 00:11:30,480 Speaker 2: But they the bucks were very aggressive towards one another. 225 00:11:31,000 --> 00:11:34,280 Speaker 2: They might not have had like hot doze, but they 226 00:11:34,280 --> 00:11:37,360 Speaker 2: were definitely like working things out. And that's what I'm 227 00:11:37,360 --> 00:11:39,400 Speaker 2: going to try to capitalize on. I feel like my 228 00:11:39,520 --> 00:11:41,839 Speaker 2: rattling antlers are going to be a big things. A 229 00:11:41,840 --> 00:11:43,880 Speaker 2: good idea. I didn't even think about that. Yeah, that 230 00:11:44,320 --> 00:11:44,959 Speaker 2: is a good idea. 231 00:11:45,000 --> 00:11:47,480 Speaker 4: I mean, do you think that if you stuck a 232 00:11:47,480 --> 00:11:49,839 Speaker 4: buck decoy out somewhere it'd be a good idea? 233 00:11:49,880 --> 00:11:50,320 Speaker 2: I think so. 234 00:11:50,520 --> 00:11:50,760 Speaker 4: Yeah. 235 00:11:50,800 --> 00:11:54,560 Speaker 2: In fact, I believe so. We've done Retfresh for a 236 00:11:54,559 --> 00:11:58,120 Speaker 2: few years and we've interviewed this person on our own 237 00:11:58,120 --> 00:12:01,360 Speaker 2: podcast a few times as well. But Michael Unsucker is 238 00:12:01,400 --> 00:12:07,160 Speaker 2: a big believer in buck decoy's this like last week 239 00:12:07,160 --> 00:12:09,880 Speaker 2: of October. Yeah, I've seen him do it quite a bit, 240 00:12:10,360 --> 00:12:13,040 Speaker 2: and so like, I think that that could definitely be 241 00:12:13,200 --> 00:12:17,080 Speaker 2: advantageous for a person for sure. Yeah. And you know 242 00:12:17,240 --> 00:12:19,360 Speaker 2: the reason I say is because Mike is a big 243 00:12:19,400 --> 00:12:23,079 Speaker 2: buck killer, So I believe when he says things. 244 00:12:22,880 --> 00:12:24,719 Speaker 4: I believe it. Yeah, Yeah, he is man. 245 00:12:24,800 --> 00:12:26,520 Speaker 2: Yeah, he's not on rough Fresh this week, though I 246 00:12:26,520 --> 00:12:29,240 Speaker 2: believe he has been recently. Last week. Yeah, last week, 247 00:12:30,080 --> 00:12:32,920 Speaker 2: the days it gets all confusing east and said days 248 00:12:32,920 --> 00:12:33,240 Speaker 2: go by. 249 00:12:34,679 --> 00:12:36,640 Speaker 3: Yeah, man, what a classic song. 250 00:12:36,760 --> 00:12:39,640 Speaker 4: Oh so good feeling man Todd ribes, as you like 251 00:12:39,720 --> 00:12:40,359 Speaker 4: to say. 252 00:12:40,200 --> 00:12:44,160 Speaker 2: Who is on ret fresh this week? So we've got 253 00:12:44,679 --> 00:12:47,400 Speaker 2: our very own Steven Ranella. He's gonna give us a 254 00:12:47,400 --> 00:12:49,920 Speaker 2: report for the charge from Oklahoma just to I mean, 255 00:12:50,640 --> 00:12:53,280 Speaker 2: just a passionate white tail hunter. Yeah, I mean, just 256 00:12:53,440 --> 00:12:57,000 Speaker 2: absolutely much more important to him than you old there hunt. 257 00:12:57,000 --> 00:12:59,880 Speaker 2: I believe it, man. He definitely doesn't get to do 258 00:13:00,040 --> 00:13:02,120 Speaker 2: as often as you would like, but he he does 259 00:13:02,160 --> 00:13:04,640 Speaker 2: love to pursue America's most popular big game animal. 260 00:13:04,720 --> 00:13:10,440 Speaker 4: Yeah for sure. We've also got Chris b Up in Michigan. Right, 261 00:13:10,760 --> 00:13:12,920 Speaker 4: he's a good friend of ours from the past. Uh 262 00:13:13,920 --> 00:13:16,040 Speaker 4: not not the ghost of Christmas past or the ghost 263 00:13:16,040 --> 00:13:18,520 Speaker 4: to Christmas presents and come in and know me better, man, 264 00:13:18,760 --> 00:13:21,840 Speaker 4: Mister Sam Hogan, right, who's got a report from us 265 00:13:21,880 --> 00:13:26,839 Speaker 4: from Ohio. And then we also have Dave Skinner who's 266 00:13:26,880 --> 00:13:30,640 Speaker 4: just somehow is just always killing these bucks despite having 267 00:13:30,640 --> 00:13:32,200 Speaker 4: a beard that I don't know how he sees past 268 00:13:32,600 --> 00:13:35,360 Speaker 4: that thing is a mondo. I mean, the dude is 269 00:13:35,440 --> 00:13:38,599 Speaker 4: just the beardiest of bearded guys. He's killing beards in 270 00:13:38,600 --> 00:13:41,679 Speaker 4: the bigger bucks now, I'm telling you, Kentucky bucks layer 271 00:13:41,760 --> 00:13:44,160 Speaker 4: for sure. So that's what we've got on the on 272 00:13:44,240 --> 00:13:46,559 Speaker 4: the podcast this week, and they've got some good information. 273 00:13:46,679 --> 00:13:48,880 Speaker 4: These guys are worth listening to. I promise you they 274 00:13:49,240 --> 00:13:51,280 Speaker 4: know a lot about killing deer. Cool. 275 00:13:51,320 --> 00:13:53,360 Speaker 2: Well, let's get them guys on and see what they 276 00:13:53,360 --> 00:13:54,240 Speaker 2: have to say about it. 277 00:13:55,480 --> 00:13:58,319 Speaker 4: Now on the phone, I've got Steven Ornella from Meat 278 00:13:58,320 --> 00:14:02,280 Speaker 4: Eater and his faith favorite game species, the white tailed deer. Steve, 279 00:14:02,280 --> 00:14:03,280 Speaker 4: what's going on, man. 280 00:14:03,840 --> 00:14:05,880 Speaker 6: Hey, thank you for clean that up like that. It's 281 00:14:05,920 --> 00:14:08,240 Speaker 6: going great, dude. Listen, man, I. 282 00:14:10,880 --> 00:14:14,360 Speaker 7: We just were down in Oklahoma hunting out of tree stands, man, 283 00:14:14,400 --> 00:14:16,560 Speaker 7: and I had so much fun. I was just telling 284 00:14:16,720 --> 00:14:19,800 Speaker 7: my uh friend Johannis that I can't stop thinking about it. 285 00:14:22,360 --> 00:14:22,840 Speaker 6: I grew up. 286 00:14:22,880 --> 00:14:25,520 Speaker 7: I grew up hunting tree stands and just being back 287 00:14:25,600 --> 00:14:29,840 Speaker 7: up there and how much stuff you see because you're 288 00:14:29,880 --> 00:14:31,800 Speaker 7: not you know what I mean, you slipping there and 289 00:14:31,840 --> 00:14:34,040 Speaker 7: then a couple hours later the whole woods forgot that 290 00:14:34,080 --> 00:14:35,720 Speaker 7: you're there and you see a lot of stuff. 291 00:14:35,760 --> 00:14:38,120 Speaker 2: It's cool, man, Dude, our cameraman freak out more about 292 00:14:38,120 --> 00:14:39,840 Speaker 2: big squirrel footers and they did a big deer foots. 293 00:14:39,840 --> 00:14:40,560 Speaker 5: They love it, you know. 294 00:14:40,600 --> 00:14:42,800 Speaker 2: The squirrels just come crawling down, they film them. It's 295 00:14:42,880 --> 00:14:45,080 Speaker 2: just and they know exactly what you're talking about. 296 00:14:45,440 --> 00:14:45,840 Speaker 6: Yeah, I know. 297 00:14:46,560 --> 00:14:48,520 Speaker 7: I was with Tony Peterson. He had a bobcat come 298 00:14:48,560 --> 00:14:50,480 Speaker 7: in under his tree totally unaware. And I don't know 299 00:14:50,480 --> 00:14:52,280 Speaker 7: the last time you tried to sneak up on a bobcat. 300 00:14:52,320 --> 00:14:57,520 Speaker 7: That ain't easy. Yeah, suck dude. It was such a blast. 301 00:14:57,160 --> 00:14:59,920 Speaker 4: Man, that's cool man, I know. Uh, Tony was pretty 302 00:15:00,040 --> 00:15:02,080 Speaker 4: pretty sycked about how everything went. You guys had a 303 00:15:02,080 --> 00:15:04,480 Speaker 4: little success there, right, Oh. 304 00:15:04,400 --> 00:15:04,960 Speaker 2: Yeah, we did. 305 00:15:05,040 --> 00:15:07,800 Speaker 7: So we had we had well, we had four full 306 00:15:07,880 --> 00:15:09,640 Speaker 7: days to hunt. We had an extra evening. 307 00:15:09,640 --> 00:15:12,080 Speaker 6: So what's that make four point five days sounds good? 308 00:15:13,040 --> 00:15:17,280 Speaker 6: He got two bucks. I hit spike and lost it. 309 00:15:17,960 --> 00:15:21,160 Speaker 7: I got a nice I got a nice little eight 310 00:15:21,240 --> 00:15:22,600 Speaker 7: point Michigan ate. 311 00:15:22,880 --> 00:15:28,320 Speaker 4: You know, yeah, I like it. Influence into this thing. Yeah, 312 00:15:28,520 --> 00:15:29,240 Speaker 4: it was great. It was. 313 00:15:29,360 --> 00:15:31,280 Speaker 6: It was a bumber to lose one, you know, and 314 00:15:33,080 --> 00:15:35,120 Speaker 6: you know, I tried to learn lessons from and all that, 315 00:15:35,240 --> 00:15:35,760 Speaker 6: but I. 316 00:15:36,440 --> 00:15:39,840 Speaker 7: Just I hit it too far back and we looked 317 00:15:39,840 --> 00:15:41,680 Speaker 7: and looked and went back and looked and looked and 318 00:15:41,720 --> 00:15:44,080 Speaker 7: looked and just can't couldn't pull together. 319 00:15:44,280 --> 00:15:46,720 Speaker 4: Sure, man, it happens, that's uh, that's a boat hunting. 320 00:15:46,760 --> 00:15:49,160 Speaker 4: Oh yeah, yeah, it's fun to be close. So what 321 00:15:49,200 --> 00:15:51,120 Speaker 4: were they what were they doing? Why were why was 322 00:15:51,120 --> 00:15:52,960 Speaker 4: that tree such a special place to sit. 323 00:15:53,720 --> 00:15:59,280 Speaker 7: Eating, just feeding, chilled out like no, I mean zero 324 00:15:59,680 --> 00:16:06,400 Speaker 7: any thing of zero, anything of like cruising behavior zero, 325 00:16:07,440 --> 00:16:14,160 Speaker 7: you know, no posturing, no interest in doze, dude, hot right, 326 00:16:15,680 --> 00:16:20,080 Speaker 7: eating on acorns, checking out beneath per Simon trees. Just 327 00:16:20,320 --> 00:16:25,280 Speaker 7: real leisurely, real leisurely, not like not traveling. 328 00:16:25,400 --> 00:16:28,160 Speaker 2: Yep. So did you see much as far as like 329 00:16:28,600 --> 00:16:30,960 Speaker 2: scrapes or rubs, And it seemed like the bucks had 330 00:16:30,960 --> 00:16:32,840 Speaker 2: been laying down any of that type sign. 331 00:16:33,520 --> 00:16:38,120 Speaker 7: Dude, Two scrapes about the size of two scrapes, both 332 00:16:38,160 --> 00:16:40,120 Speaker 7: had been freshened up, but they weren't as big as 333 00:16:40,120 --> 00:16:45,200 Speaker 7: my laptop gotchall close together. And like, it's funny because 334 00:16:45,880 --> 00:16:48,800 Speaker 7: we never saw any sign of that. We never saw 335 00:16:49,120 --> 00:16:52,480 Speaker 7: not any signs, saw signs, saw scrapes, never saw that buck. 336 00:16:52,880 --> 00:16:56,840 Speaker 7: And I actually hunted that spot and saw a little 337 00:16:57,520 --> 00:17:02,520 Speaker 7: three inch spike, so he wasn't the cold print. But yeah, 338 00:17:02,560 --> 00:17:05,280 Speaker 7: they had been you know they had been done, and 339 00:17:05,359 --> 00:17:07,320 Speaker 7: Tony he had run into a couple more. 340 00:17:07,480 --> 00:17:11,840 Speaker 6: I ran into those two. I ran into those two. 341 00:17:11,880 --> 00:17:13,679 Speaker 6: Bit the way things went, we never we never even. 342 00:17:13,600 --> 00:17:16,920 Speaker 2: Hunted them heavy. Yeah, gotcha. So uh, you know, seeing 343 00:17:16,920 --> 00:17:19,520 Speaker 2: that little bit of sign that just no interest. The 344 00:17:19,520 --> 00:17:22,640 Speaker 2: whole country essentially is gonna go through a cold front 345 00:17:22,680 --> 00:17:26,560 Speaker 2: over the next week, and Oklahoma will be the same. Uh, 346 00:17:26,600 --> 00:17:28,359 Speaker 2: with a lot of weather involved as well, a lot 347 00:17:28,359 --> 00:17:30,720 Speaker 2: of rain in the forecast. What do you think that's 348 00:17:30,720 --> 00:17:32,800 Speaker 2: gonna do to the deer? You know, kind of as 349 00:17:32,800 --> 00:17:33,800 Speaker 2: we look to the next week. 350 00:17:34,640 --> 00:17:37,439 Speaker 7: Well, I'll tell you what Tony Peterson said, and and 351 00:17:37,520 --> 00:17:40,040 Speaker 7: he was definitely the brains behind our operation down there. 352 00:17:41,119 --> 00:17:43,440 Speaker 7: You know, he does a lot of public land white tails, right, 353 00:17:43,480 --> 00:17:45,240 Speaker 7: and I've been out of that game for a long time. 354 00:17:46,920 --> 00:17:49,840 Speaker 7: It was funny because the terrible drought down there, so 355 00:17:50,000 --> 00:17:53,080 Speaker 7: bad in fact, that like there's a couple of little 356 00:17:53,440 --> 00:17:56,680 Speaker 7: dry like little pools in a dried up creek bed 357 00:17:57,520 --> 00:17:59,840 Speaker 7: just full of all these car gasp and for air. 358 00:18:00,119 --> 00:18:03,320 Speaker 7: We found a little pool smaller than a car, had 359 00:18:03,359 --> 00:18:07,119 Speaker 7: three beavers living in it. They got nowhere to go. Anyways, Wow, 360 00:18:07,840 --> 00:18:10,280 Speaker 7: he was he was saying, man you know. It's funny 361 00:18:10,280 --> 00:18:12,720 Speaker 7: because he kept saying to me, man, can you imagine 362 00:18:12,760 --> 00:18:15,159 Speaker 7: if it rained. Can you imagine if it rained, how 363 00:18:15,200 --> 00:18:18,160 Speaker 7: much movement there's going to be. So I'm sure it's 364 00:18:18,200 --> 00:18:21,720 Speaker 7: gonna you know, it was like when we hunted. 365 00:18:21,760 --> 00:18:22,520 Speaker 6: It was just hot. 366 00:18:22,720 --> 00:18:24,600 Speaker 7: You know, it was fun, it was great to be out, 367 00:18:24,640 --> 00:18:26,800 Speaker 7: but it just didn't have that feel in the air. 368 00:18:27,440 --> 00:18:31,120 Speaker 7: And I know Tony was saying that he was feeling 369 00:18:31,160 --> 00:18:34,800 Speaker 7: that some cool weather and some moisture would really be 370 00:18:34,920 --> 00:18:36,760 Speaker 7: what turned things around and kicked it off. 371 00:18:36,880 --> 00:18:39,119 Speaker 6: So I trust him more and I trust me on 372 00:18:39,200 --> 00:18:39,560 Speaker 6: that man. 373 00:18:39,680 --> 00:18:39,840 Speaker 8: Yeah. 374 00:18:39,920 --> 00:18:42,080 Speaker 4: Yeah, So a scale of one to ten, if you 375 00:18:42,119 --> 00:18:46,040 Speaker 4: had to pick a number based off of whatever excitement 376 00:18:46,119 --> 00:18:49,480 Speaker 4: you might have thinking about scrapes and the cold front 377 00:18:49,480 --> 00:18:51,600 Speaker 4: coming in the time of year, those kind of things, 378 00:18:51,960 --> 00:18:54,080 Speaker 4: what would you put buck movement at on a scale 379 00:18:54,119 --> 00:18:54,680 Speaker 4: of one to ten? 380 00:18:54,960 --> 00:18:55,440 Speaker 2: Next week? 381 00:18:56,560 --> 00:19:00,320 Speaker 7: Oh well, I guess i'd have to say it when 382 00:19:00,760 --> 00:19:02,920 Speaker 7: my time there, I guess i'd have to say that 383 00:19:02,960 --> 00:19:03,960 Speaker 7: it was three or four. 384 00:19:04,280 --> 00:19:05,400 Speaker 6: So it's gonna be way high. 385 00:19:06,200 --> 00:19:09,480 Speaker 7: Yeah, yeah, it's gonna be way higher now. 386 00:19:09,520 --> 00:19:10,280 Speaker 6: I mean, it's happening. 387 00:19:10,320 --> 00:19:10,439 Speaker 8: Man. 388 00:19:10,480 --> 00:19:13,000 Speaker 7: Here's the thing is, it's gonna you know, you got 389 00:19:13,000 --> 00:19:15,640 Speaker 7: the inescapable reality of of. 390 00:19:15,840 --> 00:19:19,560 Speaker 6: Like length of day. Right and and and. 391 00:19:20,480 --> 00:19:22,200 Speaker 7: Let's say you had a heat wave and that heat 392 00:19:22,200 --> 00:19:26,120 Speaker 7: wave lasted, all that heat wave lasted the next month. 393 00:19:27,280 --> 00:19:31,560 Speaker 7: De you're gonna get bread, right, right, So it's gonna happen. 394 00:19:31,760 --> 00:19:35,560 Speaker 7: They're gonna get out. Uh if within that window, if 395 00:19:35,560 --> 00:19:41,200 Speaker 7: they can pick cool you know, moisture, cool temperatures, they're 396 00:19:41,200 --> 00:19:43,840 Speaker 7: gonna maximize on that right time. 397 00:19:43,920 --> 00:19:44,520 Speaker 2: So why not? 398 00:19:44,640 --> 00:19:47,560 Speaker 4: It is the perfect time, sure, sure, coole Man, Well, 399 00:19:47,680 --> 00:19:50,120 Speaker 4: congrats on on the success up there, man, and thanks 400 00:19:50,119 --> 00:19:52,600 Speaker 4: for hopping on the phone with us as a as 401 00:19:52,640 --> 00:19:56,320 Speaker 4: a busy dude. And uh, well hopefully see you're shooting 402 00:19:56,320 --> 00:19:57,680 Speaker 4: some more whitetails scene man. 403 00:19:58,200 --> 00:20:00,840 Speaker 6: Oh yeah, yeah, and and and thanks for having me on. 404 00:20:00,960 --> 00:20:03,280 Speaker 7: And just to clarify, you guys know this game better me, 405 00:20:03,400 --> 00:20:05,600 Speaker 7: but I appreciate you letting weigh in for sure. 406 00:20:05,720 --> 00:20:10,080 Speaker 4: Man. Thanks Steve, All right, take care on the phone. Now, 407 00:20:10,080 --> 00:20:12,000 Speaker 4: I've got Chris b He's one of my good friends. 408 00:20:12,160 --> 00:20:15,840 Speaker 4: He is up in Michigan, the home state, doing some hunting. Well, 409 00:20:15,880 --> 00:20:16,720 Speaker 4: the old home. 410 00:20:16,480 --> 00:20:18,600 Speaker 2: State, right, old home state. 411 00:20:18,800 --> 00:20:21,080 Speaker 4: Yeah yeah, the origin of Chris B. Man. 412 00:20:22,400 --> 00:20:24,679 Speaker 3: Yeah, the capital of the world. 413 00:20:24,880 --> 00:20:27,000 Speaker 4: Yeah, yeah, yeah, how's it. How's the hunting up air 414 00:20:27,040 --> 00:20:27,360 Speaker 4: right now? 415 00:20:28,680 --> 00:20:29,640 Speaker 6: It's been good. 416 00:20:30,320 --> 00:20:35,320 Speaker 8: This is my third day now, and actually afternoon sits 417 00:20:35,359 --> 00:20:40,000 Speaker 8: have been pretty dang good. They're starting, you know, starting 418 00:20:40,000 --> 00:20:42,119 Speaker 8: to bump, doze around and stuff. We had a pretty 419 00:20:42,160 --> 00:20:45,639 Speaker 8: nice bark last night, just plow through the field chasing 420 00:20:45,680 --> 00:20:47,200 Speaker 8: after a dough and then we never saw him the 421 00:20:47,240 --> 00:20:50,320 Speaker 8: rest of the night. But they're definitely definitely feeling it. 422 00:20:51,200 --> 00:20:54,000 Speaker 8: Morning sits are have been slow for some reason. I 423 00:20:54,040 --> 00:20:56,439 Speaker 8: was kind of hopeful, but kind of seems like, you know, 424 00:20:56,480 --> 00:21:00,600 Speaker 8: we're not quite to where they're they're on that morning, 425 00:21:00,680 --> 00:21:05,119 Speaker 8: you know, where they're juiced up. So afternoon sit sitting food, 426 00:21:05,160 --> 00:21:06,840 Speaker 8: you know, is still kind of the play. But they're 427 00:21:06,880 --> 00:21:08,600 Speaker 8: definitely they're definitely feeling it. 428 00:21:08,680 --> 00:21:09,920 Speaker 2: Yeah, what kind of food are you sitting? 429 00:21:11,640 --> 00:21:13,120 Speaker 9: So thankfully one of. 430 00:21:13,040 --> 00:21:15,200 Speaker 8: My buddies here in Michigan he put in some good 431 00:21:15,240 --> 00:21:18,159 Speaker 8: food plots, so we're sitting over just brascas, you know, 432 00:21:18,240 --> 00:21:21,159 Speaker 8: and there's also cornfields and bean fields and stuff, so 433 00:21:21,160 --> 00:21:24,120 Speaker 8: we've just kind of been switching all around the acorns. 434 00:21:24,119 --> 00:21:25,840 Speaker 8: I don't know about you guys or what you've been hearing, 435 00:21:25,880 --> 00:21:27,800 Speaker 8: but they've been really really good this year. 436 00:21:29,080 --> 00:21:29,600 Speaker 4: So not. 437 00:21:30,280 --> 00:21:32,480 Speaker 8: You know, I feel like that sometimes throws a wrench 438 00:21:32,520 --> 00:21:35,680 Speaker 8: and stuff because they're kind of mixed up and more 439 00:21:35,720 --> 00:21:38,760 Speaker 8: in the woods for food sources and whatnot. 440 00:21:39,040 --> 00:21:41,840 Speaker 4: Yeah, it seems like that where we're from a little 441 00:21:41,840 --> 00:21:44,080 Speaker 4: bit right now. But I didn't think it was going 442 00:21:44,160 --> 00:21:47,040 Speaker 4: to be a great crop. So who knows, man, But 443 00:21:48,000 --> 00:21:51,280 Speaker 4: for you, have you seen more action on green food 444 00:21:51,280 --> 00:21:54,080 Speaker 4: sources or grain up there? 445 00:21:57,280 --> 00:22:01,199 Speaker 8: We have seen more on green, would say, if I 446 00:22:01,200 --> 00:22:02,920 Speaker 8: had to put it on, a lot of the corn 447 00:22:02,960 --> 00:22:07,600 Speaker 8: here is still standing. And I'm sure if they cut 448 00:22:07,640 --> 00:22:10,760 Speaker 8: it here. It's been wet though, but I'm sure if 449 00:22:10,840 --> 00:22:13,359 Speaker 8: they cut it here the next week, they'll they'll switch 450 00:22:13,400 --> 00:22:17,080 Speaker 8: over pretty hard, you know, the fresh cut corn they 451 00:22:17,119 --> 00:22:17,640 Speaker 8: always do. 452 00:22:17,720 --> 00:22:17,959 Speaker 5: You know. 453 00:22:18,080 --> 00:22:20,760 Speaker 8: But yeah, right now, I mean, if you got good food. 454 00:22:20,560 --> 00:22:22,880 Speaker 3: Pots, it seems like they've been hammering them. 455 00:22:23,000 --> 00:22:26,679 Speaker 2: Yeah. So we got some weather rolling through the US, 456 00:22:26,760 --> 00:22:30,000 Speaker 2: you know, in the upcoming week here, are you gonna 457 00:22:30,040 --> 00:22:32,760 Speaker 2: focus on pinch points or are you thinking still more rock? 458 00:22:32,800 --> 00:22:34,840 Speaker 2: We're in. That's kind of scrape time period right now, 459 00:22:34,960 --> 00:22:36,240 Speaker 2: you know, as kind of we get a cold front 460 00:22:36,240 --> 00:22:36,920 Speaker 2: that pushes through. 461 00:22:37,640 --> 00:22:39,600 Speaker 8: Yeah, this is scrape week, I like to call it. 462 00:22:39,680 --> 00:22:42,800 Speaker 8: You know, it's last week of October now through Halloween. 463 00:22:42,880 --> 00:22:46,000 Speaker 8: It's like find a fresh scrape next to a food source, 464 00:22:46,040 --> 00:22:48,760 Speaker 8: especially for afternoons, you know, morning if you want to 465 00:22:48,800 --> 00:22:52,440 Speaker 8: sit mornings kind of October twenty fifth is my start 466 00:22:52,480 --> 00:22:54,159 Speaker 8: of morning hunts. I've been cheating a little bit and 467 00:22:54,240 --> 00:22:56,760 Speaker 8: hunting in the mornings early because I got limited time here. 468 00:22:57,800 --> 00:22:59,520 Speaker 8: But that's, you know, October twenty fifth when I really 469 00:22:59,520 --> 00:23:02,920 Speaker 8: start doings, because they will start, you know, trying to 470 00:23:02,960 --> 00:23:04,960 Speaker 8: find the local doughs a little bit or at least 471 00:23:05,040 --> 00:23:05,840 Speaker 8: get fired up. 472 00:23:07,160 --> 00:23:08,840 Speaker 6: But you know, just starting. 473 00:23:08,960 --> 00:23:11,159 Speaker 8: We sat a pinch this morning and just had a 474 00:23:11,240 --> 00:23:14,200 Speaker 8: terrible morning, so we should have should have not done that. 475 00:23:14,280 --> 00:23:16,960 Speaker 8: So I think it just depends on your area too, 476 00:23:17,000 --> 00:23:18,680 Speaker 8: you know, if you get a hot dough that comes 477 00:23:18,680 --> 00:23:20,720 Speaker 8: in early for some reason and kind of gets bucks 478 00:23:20,720 --> 00:23:22,320 Speaker 8: fired up a little earlier than usual. 479 00:23:22,359 --> 00:23:24,879 Speaker 6: But scrapes, I mean, right now, it's scrape, scrape, scrapes. 480 00:23:24,920 --> 00:23:27,000 Speaker 2: It's hard to jump on that stuff. Man, you know, 481 00:23:27,040 --> 00:23:29,080 Speaker 2: we're all this is so keyed up on it now. 482 00:23:29,320 --> 00:23:30,440 Speaker 2: You I want to talk a little bit about the 483 00:23:30,480 --> 00:23:33,440 Speaker 2: tactic of the scrape. Are you trying to be able 484 00:23:33,480 --> 00:23:35,639 Speaker 2: to shoot the scrape or are you finding access trails 485 00:23:35,640 --> 00:23:37,640 Speaker 2: to that or what are you thinking whenever it comes 486 00:23:37,680 --> 00:23:38,720 Speaker 2: to like sitting up on that thing. 487 00:23:39,680 --> 00:23:43,920 Speaker 8: Yeah, So good example right now is we have it's 488 00:23:43,960 --> 00:23:46,000 Speaker 8: actually like a down oak tree on the edge of 489 00:23:46,000 --> 00:23:49,200 Speaker 8: this big maybe one acre food plot, and all over 490 00:23:49,240 --> 00:23:51,080 Speaker 8: the edge of the oak tree, you know, hanging out 491 00:23:51,080 --> 00:23:53,760 Speaker 8: in the field is just like five scrapes all torn up. 492 00:23:53,800 --> 00:23:55,800 Speaker 8: So we got to you know, a stand right on 493 00:23:55,840 --> 00:23:57,440 Speaker 8: the edge of the food plot with that at about 494 00:23:57,480 --> 00:24:00,159 Speaker 8: twenty yards. I like to shoot scrapes at least one 495 00:24:00,200 --> 00:24:03,520 Speaker 8: of them, you know, if it's a scrape line, you know, 496 00:24:03,600 --> 00:24:06,080 Speaker 8: set up to where obviously you're not gonna booger the 497 00:24:06,119 --> 00:24:08,119 Speaker 8: spot up. But yeah, I mean I love shooting to 498 00:24:08,119 --> 00:24:11,000 Speaker 8: your own scrapes because they're one distracted and two it's 499 00:24:11,040 --> 00:24:13,840 Speaker 8: a good probability you're gonna have a good range on 500 00:24:13,920 --> 00:24:16,760 Speaker 8: them and they're gonna be standing still field for a minute. 501 00:24:18,000 --> 00:24:20,080 Speaker 8: So you know, I'm all about just hunting right right 502 00:24:20,119 --> 00:24:23,600 Speaker 8: on the scrape or you know, the trail plus the scrape. 503 00:24:25,280 --> 00:24:27,760 Speaker 8: You know, a trifecta of food scrape trail would be 504 00:24:27,840 --> 00:24:29,439 Speaker 8: you know perfect. 505 00:24:29,720 --> 00:24:33,959 Speaker 4: I I get multiplying my variables there now, Yeah, based 506 00:24:33,960 --> 00:24:38,320 Speaker 4: off of like weather variables or lunar or just even 507 00:24:39,119 --> 00:24:44,240 Speaker 4: time of year. In the next week in Michigan, what's 508 00:24:44,240 --> 00:24:46,320 Speaker 4: the buck movement gonna be Like? Is it gonna be good? 509 00:24:46,359 --> 00:24:47,960 Speaker 4: Is it gonna be better? And if you had to 510 00:24:48,040 --> 00:24:50,040 Speaker 4: rank it on a scale of one to ten, what 511 00:24:50,080 --> 00:24:50,920 Speaker 4: would you put it at? 512 00:24:51,880 --> 00:24:53,960 Speaker 8: You know, I think it's it's just the time of 513 00:24:54,040 --> 00:24:56,880 Speaker 8: year where it is gonna be good regardless of weather. 514 00:24:56,960 --> 00:24:59,199 Speaker 8: I mean, we're getting there. It's no longer you know, 515 00:24:59,240 --> 00:25:01,880 Speaker 8: good weather's gonna but we're getting into the rut soon 516 00:25:02,080 --> 00:25:04,400 Speaker 8: and it's like you just gotta be in a tree. 517 00:25:05,080 --> 00:25:09,240 Speaker 8: It's it's good to have good weather. It'll enhance the hunting, 518 00:25:09,359 --> 00:25:11,840 Speaker 8: but they're gonna do deer things regardless of how I 519 00:25:11,920 --> 00:25:12,200 Speaker 8: kind of. 520 00:25:12,119 --> 00:25:12,600 Speaker 6: Look at it. 521 00:25:12,720 --> 00:25:14,760 Speaker 8: I think we got some cold weather coming in soon, though, 522 00:25:14,800 --> 00:25:18,200 Speaker 8: and that'll help. I mean, it was thirty degrees this morning. 523 00:25:18,240 --> 00:25:20,040 Speaker 8: It was kind of like the first hard frost, and 524 00:25:20,040 --> 00:25:21,200 Speaker 8: I honestly think it kind of. 525 00:25:21,160 --> 00:25:24,160 Speaker 3: Shocked deer, Like deer were like, ooh, it's cold. 526 00:25:23,920 --> 00:25:25,520 Speaker 8: You know, and just kind of I feel like that 527 00:25:25,600 --> 00:25:27,679 Speaker 8: first hard frost, they really don't move as much as 528 00:25:27,680 --> 00:25:30,960 Speaker 8: you would think. But I think, you know, these next 529 00:25:31,000 --> 00:25:33,600 Speaker 8: couple hard you know this next hard snap is. 530 00:25:34,040 --> 00:25:34,560 Speaker 7: Gonna be good. 531 00:25:34,600 --> 00:25:35,440 Speaker 6: I think it's gonna get. 532 00:25:35,320 --> 00:25:35,800 Speaker 8: Them fired up. 533 00:25:36,400 --> 00:25:38,480 Speaker 4: Cool scaleing one to ten if you had to rate it. 534 00:25:39,600 --> 00:25:42,080 Speaker 8: I mean, I love this week up to Halloween. 535 00:25:42,080 --> 00:25:44,360 Speaker 6: I'm gonna say like a seven. 536 00:25:44,600 --> 00:25:46,960 Speaker 4: Oh yeah, let's go, dude. 537 00:25:47,400 --> 00:25:49,360 Speaker 8: I mean, especially if you got a good local buck. 538 00:25:49,400 --> 00:25:53,200 Speaker 8: I mean, this is the time to kill your local bucks. Sure, yeah, 539 00:25:53,240 --> 00:25:56,199 Speaker 8: you know, or nocturnal buck. He's been nocturnal all October. 540 00:25:56,800 --> 00:25:59,000 Speaker 8: You get a good weather snap and you know you 541 00:25:59,080 --> 00:26:01,480 Speaker 8: got him on camera. Now you're hitting scrapes. It's like, 542 00:26:01,560 --> 00:26:04,960 Speaker 8: this is the time hunt those scrapes and and get 543 00:26:04,960 --> 00:26:06,880 Speaker 8: a good weather and he's gonna slip off. 544 00:26:07,080 --> 00:26:09,919 Speaker 4: Yeah, yeah, for sure. Man. Well, Chris, I hope it 545 00:26:09,960 --> 00:26:11,720 Speaker 4: goes well for you up there in Michigan and wherever 546 00:26:11,800 --> 00:26:12,960 Speaker 4: else you go the rest of the year. And I 547 00:26:12,960 --> 00:26:14,840 Speaker 4: appreciate you hopping on and giving us the report. 548 00:26:15,600 --> 00:26:17,080 Speaker 6: Yeah, guys, good talking. 549 00:26:17,280 --> 00:26:35,040 Speaker 4: Get him man, Okay, on the phone here, We've got 550 00:26:35,080 --> 00:26:43,000 Speaker 4: Sam broken Hogan. What's going on? Broken dude. It's been 551 00:26:43,440 --> 00:26:45,800 Speaker 4: a while since I've actually talked to you, but you 552 00:26:45,800 --> 00:26:48,320 Speaker 4: and I keep up on, you know, just passing on 553 00:26:48,359 --> 00:26:53,600 Speaker 4: social media. And dude, it looks like giants just follow 554 00:26:53,600 --> 00:26:54,080 Speaker 4: you around. 555 00:26:54,160 --> 00:26:57,840 Speaker 6: Dude, I like to think I follow them around. 556 00:26:58,000 --> 00:26:59,880 Speaker 4: But oh you pretty get that too. 557 00:27:00,000 --> 00:27:00,359 Speaker 9: Situation. 558 00:27:00,560 --> 00:27:02,040 Speaker 6: They definitely made it a little. 559 00:27:01,840 --> 00:27:02,439 Speaker 9: Easier on me. 560 00:27:02,600 --> 00:27:04,040 Speaker 4: Yeah, that's awesome. 561 00:27:04,040 --> 00:27:04,200 Speaker 2: Man. 562 00:27:04,240 --> 00:27:08,359 Speaker 4: You shot a giant up in Ohio and you know 563 00:27:08,680 --> 00:27:11,919 Speaker 4: it looked like the pictures looked just like the falls 564 00:27:12,000 --> 00:27:14,359 Speaker 4: is there? Are you seeing many acrons dropping or what 565 00:27:14,480 --> 00:27:16,120 Speaker 4: you what? It's what's going on in the woods there. 566 00:27:17,480 --> 00:27:19,360 Speaker 6: You got to be careful not to roll your ankles 567 00:27:19,359 --> 00:27:19,760 Speaker 6: out there. 568 00:27:19,960 --> 00:27:24,879 Speaker 9: I mean, yeah, the hold on, I got that. The 569 00:27:24,960 --> 00:27:30,040 Speaker 9: acorns are big, round and slippery. 570 00:27:30,119 --> 00:27:34,040 Speaker 4: You can't even continue talking after you say that. It's 571 00:27:34,080 --> 00:27:34,879 Speaker 4: so dishonest. 572 00:27:37,040 --> 00:27:42,120 Speaker 9: But actually, I mean they are hot. But where I 573 00:27:42,160 --> 00:27:45,280 Speaker 9: was hunting was was largely maples. It was there weren't 574 00:27:45,280 --> 00:27:50,560 Speaker 9: many olds. It was walnuts and maples. But in uh, 575 00:27:50,920 --> 00:27:54,160 Speaker 9: other properties I'm hunted, the oaks are just going nuts 576 00:27:54,240 --> 00:27:54,640 Speaker 9: right now. 577 00:27:55,280 --> 00:27:57,879 Speaker 4: So that's kind of We've seen a lot of people, 578 00:27:58,280 --> 00:28:01,560 Speaker 4: especially in like northern states that are that are seeing 579 00:28:01,600 --> 00:28:04,160 Speaker 4: that right now. Is that affecting what you were doing 580 00:28:04,240 --> 00:28:07,160 Speaker 4: hunting that funnel that you were hunting this this week? 581 00:28:08,760 --> 00:28:12,720 Speaker 9: Yeah? It Uh, when it's so widespread, it's really hard 582 00:28:12,760 --> 00:28:15,840 Speaker 9: to key in on like one producing tree or one 583 00:28:15,880 --> 00:28:22,159 Speaker 9: producing stand. So what I was, frankly, I switched a 584 00:28:22,200 --> 00:28:25,760 Speaker 9: little bit to UH to hunting tactics and with that 585 00:28:25,920 --> 00:28:29,560 Speaker 9: UH spot where a couple of big ridges came together 586 00:28:29,640 --> 00:28:33,720 Speaker 9: and and fortunately it came together for me. 587 00:28:34,000 --> 00:28:38,239 Speaker 4: That's cool, dude. So you know, it's weird how some 588 00:28:38,280 --> 00:28:42,960 Speaker 4: of those those acorns or acorns, how they they will 589 00:28:42,960 --> 00:28:46,400 Speaker 4: be yellow sometimes you know, yeah. 590 00:28:46,240 --> 00:28:49,520 Speaker 9: Yeah, you know, the the corn flavored one. 591 00:28:49,640 --> 00:28:54,000 Speaker 4: Yeah, it's crazy, man. So talk about talk about, like, 592 00:28:54,400 --> 00:28:56,680 Speaker 4: you know, truly the tactics involved in that, like how 593 00:28:56,760 --> 00:28:58,240 Speaker 4: how do you find a place to put it? 594 00:28:58,320 --> 00:29:00,800 Speaker 2: What do you what are you thinking there? Yeah? 595 00:29:00,840 --> 00:29:05,240 Speaker 9: So this this was a obviously it's private property in 596 00:29:05,320 --> 00:29:08,360 Speaker 9: Ohio where I killed this buck, and corn piles are legal, 597 00:29:09,200 --> 00:29:13,960 Speaker 9: so for us, it was largely an intel, Like we 598 00:29:14,120 --> 00:29:16,680 Speaker 9: hadn't hunted this place in previous years, so it was 599 00:29:17,240 --> 00:29:19,640 Speaker 9: a new farm, and it was just seeing what was 600 00:29:19,640 --> 00:29:25,960 Speaker 9: in the area and putting them in semi strategic areas 601 00:29:25,960 --> 00:29:29,920 Speaker 9: where they're going to be anyway, but you're just ensuring 602 00:29:29,960 --> 00:29:31,360 Speaker 9: they're going to be in front of your camera. 603 00:29:33,360 --> 00:29:38,080 Speaker 2: So whenever you do that, essentially you're hunting a deer 604 00:29:38,160 --> 00:29:41,160 Speaker 2: that just found a new food source. It's not like 605 00:29:41,240 --> 00:29:45,080 Speaker 2: you were drawing deer in from miles to like a 606 00:29:45,120 --> 00:29:47,600 Speaker 2: two thousand pounds pile, right, It's kind of more just 607 00:29:47,640 --> 00:29:49,000 Speaker 2: like a hey, let's get him in front of the 608 00:29:49,000 --> 00:29:49,640 Speaker 2: camera type deal. 609 00:29:50,800 --> 00:29:51,200 Speaker 3: Correct? 610 00:29:51,480 --> 00:29:55,080 Speaker 9: Correct, And and we're I live in Michigan, so hunting 611 00:29:55,080 --> 00:29:58,760 Speaker 9: down in Ohio it's it's I'd have to be a 612 00:29:58,840 --> 00:30:01,120 Speaker 9: much stronger man to get two thousand pound of cornder 613 00:30:02,600 --> 00:30:03,920 Speaker 9: one spot up in them hills. 614 00:30:03,960 --> 00:30:08,000 Speaker 2: So yeah, it makes sense. So I want to talk 615 00:30:08,000 --> 00:30:13,560 Speaker 2: a little bit about like how you strategize shots and 616 00:30:13,560 --> 00:30:16,720 Speaker 2: stuff in those big hills. Are you setting up a 617 00:30:16,800 --> 00:30:19,160 Speaker 2: spot like that? So say you have a bait station 618 00:30:19,360 --> 00:30:21,200 Speaker 2: or you just have a spot that you want to hunt. 619 00:30:21,400 --> 00:30:23,400 Speaker 2: Are you trying to set up where you can shoot 620 00:30:23,400 --> 00:30:25,120 Speaker 2: a lot of trails? Are you trying to set up 621 00:30:25,160 --> 00:30:29,080 Speaker 2: where you can shoot the spot, or are you you know, 622 00:30:29,200 --> 00:30:32,400 Speaker 2: just finding the tree and mine have to take a 623 00:30:32,400 --> 00:30:34,120 Speaker 2: forty five yard charter? What does that look like? 624 00:30:35,280 --> 00:30:39,680 Speaker 9: Well, this this particular situation was the top of the 625 00:30:39,760 --> 00:30:41,040 Speaker 9: ridge wasn't like one trail. 626 00:30:41,080 --> 00:30:43,160 Speaker 6: It was it was one hundred yards wide. 627 00:30:44,000 --> 00:30:48,240 Speaker 9: So I was banking on them doing kind of getting 628 00:30:48,240 --> 00:30:50,080 Speaker 9: a little ruddy. It was the twenty third when I 629 00:30:50,160 --> 00:30:54,320 Speaker 9: killed them, and I was I had rattling antlers and 630 00:30:54,600 --> 00:30:58,600 Speaker 9: a grunt tube in the tree, and I learned from 631 00:30:58,640 --> 00:31:02,960 Speaker 9: you guys to make sure that the the yellow acorns 632 00:31:02,960 --> 00:31:07,960 Speaker 9: are within shooting range. I remember that and back back 633 00:31:07,960 --> 00:31:10,200 Speaker 9: in Kansas, I think it was like seventeen hsh. 634 00:31:10,520 --> 00:31:11,400 Speaker 3: You don't remind me that. 635 00:31:11,880 --> 00:31:15,400 Speaker 9: I'm really sorry. I didn't mean to do that case, 636 00:31:16,120 --> 00:31:19,960 Speaker 9: but yeah, the I always make sure I've got a 637 00:31:20,000 --> 00:31:21,800 Speaker 9: shot to it. I don't like being right on top 638 00:31:21,840 --> 00:31:24,320 Speaker 9: of it. I like being thirty thirty five yards away 639 00:31:24,360 --> 00:31:29,160 Speaker 9: from it. But I set up so the wind obviously 640 00:31:29,240 --> 00:31:32,360 Speaker 9: isn't going there, because your likelihood of getting those fawns 641 00:31:32,600 --> 00:31:36,080 Speaker 9: little box something you're not really gonna shoot is pretty high. 642 00:31:36,280 --> 00:31:38,280 Speaker 6: Yeah, that they're going to be right there. 643 00:31:38,320 --> 00:31:41,440 Speaker 9: So I set it up with that in mind, but 644 00:31:41,520 --> 00:31:45,400 Speaker 9: also with all the trails that coming through my wind 645 00:31:45,480 --> 00:31:47,960 Speaker 9: dropping into one of those bottoms where if they're running 646 00:31:47,960 --> 00:31:50,240 Speaker 9: the ridges, they're not gonna they're not gonna get me. 647 00:31:50,400 --> 00:31:53,160 Speaker 4: Yeah. So in this week, based off of like variables 648 00:31:53,160 --> 00:31:56,959 Speaker 4: that may may affect deer or deer movement, do you 649 00:31:57,080 --> 00:32:00,280 Speaker 4: foresee it being very similar and on a scale one 650 00:32:00,280 --> 00:32:02,240 Speaker 4: to ten, when you think the Buck movement will be like. 651 00:32:04,200 --> 00:32:06,840 Speaker 9: Uh, last year, I think I gave it like a 652 00:32:06,880 --> 00:32:08,840 Speaker 9: six point eight, and then I killed the one fifty 653 00:32:08,880 --> 00:32:13,400 Speaker 9: the next year. Okay, so I'm gonna give it an eight. 654 00:32:15,120 --> 00:32:17,240 Speaker 6: And uh it's it's. 655 00:32:17,120 --> 00:32:19,960 Speaker 9: Warm until Friday, and then we got a real, real, 656 00:32:20,040 --> 00:32:22,480 Speaker 9: real cold cold snap at the perfect time. 657 00:32:22,680 --> 00:32:23,080 Speaker 4: Oh man. 658 00:32:23,160 --> 00:32:27,920 Speaker 9: So the twenty eight through, I mean the foreseeable future 659 00:32:28,520 --> 00:32:31,760 Speaker 9: twenty eighth is when it starts real cold range. 660 00:32:32,640 --> 00:32:33,200 Speaker 6: Let's do it. 661 00:32:33,280 --> 00:32:36,080 Speaker 4: If Sam says listen, if you if you're listening to 662 00:32:36,120 --> 00:32:37,960 Speaker 4: this and Sam says it's gonna be an eight, you 663 00:32:38,080 --> 00:32:39,840 Speaker 4: need to be in the woods. He is one of 664 00:32:39,880 --> 00:32:43,160 Speaker 4: the most under the under the radar quote unquote experts 665 00:32:43,160 --> 00:32:44,920 Speaker 4: at deer hunting that I've ever met in my life. 666 00:32:44,960 --> 00:32:48,480 Speaker 4: So I appreciate he'd listen. I know you're a humble guy. 667 00:32:48,520 --> 00:32:51,280 Speaker 2: I ain't even deer either. Dude, he's killed like pigs. 668 00:32:51,840 --> 00:32:53,560 Speaker 2: Need I'm telling you, Sam, just you. 669 00:32:53,440 --> 00:32:55,560 Speaker 6: Were like, I don't even do that. 670 00:32:55,600 --> 00:32:58,080 Speaker 2: Hey, you're gonna be the next like Eberhart, just like 671 00:32:58,120 --> 00:32:59,640 Speaker 2: the guy who's got the following man. 672 00:32:59,720 --> 00:33:03,400 Speaker 4: Yeah, really, Mark, it don't matter. You're an expert. Hey, 673 00:33:03,520 --> 00:33:05,840 Speaker 4: thanks for hopping on the phone. With the Sam and uh, well, 674 00:33:06,200 --> 00:33:07,800 Speaker 4: we'll hope that we get to talk to you again 675 00:33:07,880 --> 00:33:09,600 Speaker 4: maybe in maybe from Michigan sometime. 676 00:33:10,280 --> 00:33:11,760 Speaker 6: All right, let's do it, all right, thank you? 677 00:33:13,080 --> 00:33:15,360 Speaker 4: All right, now I've got Dave Skinner from Kentucky's with 678 00:33:15,440 --> 00:33:19,480 Speaker 4: whitetail properties. Dave, you've been killing some bucks. It looks like, man, 679 00:33:20,360 --> 00:33:21,400 Speaker 4: I got one on the ground. 680 00:33:21,400 --> 00:33:22,880 Speaker 6: I shot one Sunday. 681 00:33:22,960 --> 00:33:23,880 Speaker 2: Sunday was a week ago? 682 00:33:24,400 --> 00:33:27,760 Speaker 4: Yeah, man, uh was it? What was the weather like 683 00:33:27,760 --> 00:33:28,640 Speaker 4: when you shot that deer? 684 00:33:29,720 --> 00:33:32,840 Speaker 5: Just a perfect October mid October cold front come through, 685 00:33:32,960 --> 00:33:37,080 Speaker 5: got the deer on our feet really early in the day. Uh, yeah, 686 00:33:37,120 --> 00:33:39,400 Speaker 5: it was beautiful weather. Had had a good stiff north 687 00:33:39,440 --> 00:33:41,800 Speaker 5: wind that day and spent a little rain. 688 00:33:43,280 --> 00:33:46,840 Speaker 2: He stepped out in the in the food plot like 689 00:33:46,920 --> 00:33:48,800 Speaker 2: at four fifty in the afternoon. 690 00:33:48,840 --> 00:33:51,720 Speaker 4: By yeah, yeah, what'sh what's in that food plot? 691 00:33:53,200 --> 00:33:55,680 Speaker 5: Not much of anything really, it's a it's a pretty 692 00:33:55,720 --> 00:33:59,440 Speaker 5: it's a pretty poor food plot. And uh, I will 693 00:33:59,440 --> 00:34:01,200 Speaker 5: tell you what he's stepped out there for was the 694 00:34:01,240 --> 00:34:01,960 Speaker 5: Golden acres. 695 00:34:02,000 --> 00:34:06,760 Speaker 2: That's what he stepped out there. The wow in Kentucky, 696 00:34:06,840 --> 00:34:07,920 Speaker 2: we can we can baite. 697 00:34:07,920 --> 00:34:09,120 Speaker 4: I'm not going to hide that fact. 698 00:34:09,200 --> 00:34:12,200 Speaker 5: But yeah, so he come out and get a get 699 00:34:12,200 --> 00:34:13,600 Speaker 5: a belly full of full of corn. 700 00:34:13,719 --> 00:34:16,120 Speaker 2: Sounds like you were pretty close to where he is living. 701 00:34:16,160 --> 00:34:18,040 Speaker 2: I mean, if he's there at four fifty in the afternoon, 702 00:34:18,080 --> 00:34:21,320 Speaker 2: that's pretty early. Is that strategic that you were setting 703 00:34:21,400 --> 00:34:23,040 Speaker 2: up close to where you thought that deer was core 704 00:34:23,360 --> 00:34:25,720 Speaker 2: ranging at or did it just happen to be something 705 00:34:25,719 --> 00:34:27,400 Speaker 2: he had just died to throughout the season. 706 00:34:28,239 --> 00:34:31,440 Speaker 5: So to be honest, that deer wasn't on my radar 707 00:34:31,719 --> 00:34:34,920 Speaker 5: until the week before and he started just showing up 708 00:34:34,920 --> 00:34:37,759 Speaker 5: at that spot. And I actually took a kid in 709 00:34:38,080 --> 00:34:40,239 Speaker 5: with me to hunt. He won't shoot, but I took 710 00:34:40,239 --> 00:34:42,480 Speaker 5: a kid in with me and we set up on him, 711 00:34:42,480 --> 00:34:43,960 Speaker 5: and the wind just kind of messed us up. I 712 00:34:44,000 --> 00:34:46,200 Speaker 5: think I would have killed him that week before, had 713 00:34:46,320 --> 00:34:49,920 Speaker 5: had the wind been steady, but it was a lot warmer. 714 00:34:49,960 --> 00:34:52,719 Speaker 5: He was coming out right at last right at last light. 715 00:34:52,800 --> 00:34:56,799 Speaker 5: And then the fast forward the next week he had 716 00:34:56,800 --> 00:35:00,160 Speaker 5: gone underground. I know he smelled us because he just disappear. 717 00:35:00,200 --> 00:35:03,160 Speaker 5: After that, he'd been real regular. And fast forward a 718 00:35:03,160 --> 00:35:05,239 Speaker 5: week and this cold front was in and I just 719 00:35:05,320 --> 00:35:07,719 Speaker 5: kind of, you know, I wasn't even thinking behinding that deer. 720 00:35:08,640 --> 00:35:10,840 Speaker 5: I say, that I was trying to prepare a spot 721 00:35:10,880 --> 00:35:13,400 Speaker 5: to kill him later on in the year once he 722 00:35:13,600 --> 00:35:16,919 Speaker 5: was really doing what bucks do during the rut, which 723 00:35:16,960 --> 00:35:19,759 Speaker 5: is when I like to shoot him. But I was 724 00:35:19,800 --> 00:35:22,000 Speaker 5: at the farm working and he pops on a cell 725 00:35:22,080 --> 00:35:25,799 Speaker 5: camera at five o'clock Saturday, and I'm like, buddy, if 726 00:35:25,800 --> 00:35:28,240 Speaker 5: you're going to do that, I will be there tomorrow 727 00:35:28,360 --> 00:35:30,839 Speaker 5: because the wind's going to be right, so sure as 728 00:35:30,840 --> 00:35:32,879 Speaker 5: the world's That's what happened to when was still good. 729 00:35:32,880 --> 00:35:35,120 Speaker 5: And I slipped in there next day and he done 730 00:35:35,120 --> 00:35:36,480 Speaker 5: the same thing two days in a row, which is 731 00:35:36,520 --> 00:35:37,479 Speaker 5: gonna happen very often. 732 00:35:37,640 --> 00:35:41,759 Speaker 4: That's cool, man. So with that, I'm guessing you're not 733 00:35:41,800 --> 00:35:44,800 Speaker 4: seeing a ton of rutting activity. They're pretty consistent to feed. 734 00:35:45,680 --> 00:35:46,959 Speaker 4: Have you seen any scrape action. 735 00:35:47,840 --> 00:35:49,799 Speaker 6: Yeah, the scrapes are really picking up. 736 00:35:49,840 --> 00:35:51,759 Speaker 5: As a matter of fact, I got several bucks on 737 00:35:51,960 --> 00:35:55,560 Speaker 5: scrapes last night on my cell cams. A new buck 738 00:35:55,600 --> 00:35:57,640 Speaker 5: that I'm not familiar with showed up last night on 739 00:35:58,880 --> 00:36:02,680 Speaker 5: the scrape and yesterday. We had our Muslim at weekend 740 00:36:02,680 --> 00:36:04,760 Speaker 5: this weekend, so we shot some doe over the weekend 741 00:36:04,800 --> 00:36:07,320 Speaker 5: and everywhere we went there was there was fresh scrapes 742 00:36:07,360 --> 00:36:09,400 Speaker 5: popping up, So they're they're really hitting them hard. And 743 00:36:10,080 --> 00:36:12,440 Speaker 5: actually got a got a buck on camera this morning. 744 00:36:12,480 --> 00:36:16,040 Speaker 5: Dog in a dough in a food plot. So yesterday 745 00:36:16,120 --> 00:36:18,960 Speaker 5: evening we were out and uh, it was crazy. We 746 00:36:18,960 --> 00:36:20,640 Speaker 5: were trying to kill doze and I think we'd saw 747 00:36:20,680 --> 00:36:21,280 Speaker 5: five bucks. 748 00:36:22,200 --> 00:36:23,360 Speaker 4: Wow, finally had it. 749 00:36:23,480 --> 00:36:24,839 Speaker 5: Yeah, finally had a dose. 750 00:36:24,880 --> 00:36:25,920 Speaker 2: Stepped in the food. 751 00:36:25,680 --> 00:36:29,839 Speaker 5: Plot, a legit food plot that had a right at 752 00:36:30,040 --> 00:36:32,279 Speaker 5: very last light, and there was a there was a 753 00:36:32,320 --> 00:36:34,480 Speaker 5: three year old buck in the food plot whenever whenever 754 00:36:34,520 --> 00:36:36,960 Speaker 5: she came in and he kind of trotted over to 755 00:36:37,000 --> 00:36:39,239 Speaker 5: her and and when she showed no interest, he just 756 00:36:39,280 --> 00:36:39,839 Speaker 5: turned the left. 757 00:36:40,760 --> 00:36:42,000 Speaker 4: So that's they're starting. 758 00:36:42,040 --> 00:36:44,240 Speaker 5: They're starting to get starting to get a little frisky. 759 00:36:44,320 --> 00:36:46,200 Speaker 3: Yeah, feels a little chipy up there where you're at. Man, 760 00:36:46,239 --> 00:36:47,120 Speaker 3: that's that's cool. 761 00:36:47,160 --> 00:36:48,920 Speaker 2: So if you were going to look forward to the 762 00:36:48,960 --> 00:36:52,480 Speaker 2: next week, it sounds like you got some buck movement going. 763 00:36:52,760 --> 00:36:54,080 Speaker 2: If you had to rate it on a scale of 764 00:36:54,120 --> 00:36:56,640 Speaker 2: one to ten for the next week on buck movement, 765 00:36:56,680 --> 00:36:57,560 Speaker 2: what would you call it. 766 00:36:58,239 --> 00:37:01,719 Speaker 5: I'll be honest, we our cold front's gone and it's 767 00:37:01,760 --> 00:37:04,880 Speaker 5: going to be pretty warm all week. I would probably 768 00:37:04,880 --> 00:37:07,040 Speaker 5: try to get some chores done and be ready. 769 00:37:06,800 --> 00:37:07,840 Speaker 2: To hit it around Halloween. 770 00:37:07,920 --> 00:37:10,800 Speaker 5: It looks like there's a there's a front rolling through. 771 00:37:11,000 --> 00:37:13,919 Speaker 5: I think it's supposed to hit here right right about 772 00:37:13,960 --> 00:37:16,560 Speaker 5: the thirty first, So that's that's when I would concentrate. 773 00:37:17,400 --> 00:37:19,680 Speaker 5: It's just too darn and warm, I think, and for 774 00:37:20,000 --> 00:37:22,120 Speaker 5: a lot of daylight activity. Not saying it won't happen, 775 00:37:22,160 --> 00:37:25,520 Speaker 5: but I think it'll get better around the thirty thirty 776 00:37:25,520 --> 00:37:26,600 Speaker 5: to thirty first something like that. 777 00:37:26,680 --> 00:37:28,560 Speaker 2: Okay, so give me that one to ten number. Though, 778 00:37:28,560 --> 00:37:29,760 Speaker 2: what are you gonna call it right now? 779 00:37:30,719 --> 00:37:31,280 Speaker 4: Right now? 780 00:37:31,320 --> 00:37:33,480 Speaker 5: Man, it's pretty low as far as red action goes. 781 00:37:33,520 --> 00:37:35,480 Speaker 5: I would say three maybe. 782 00:37:35,560 --> 00:37:37,800 Speaker 2: Hey, I like an honest answer, man. A lot of 783 00:37:37,840 --> 00:37:41,560 Speaker 2: guys get a little bit too optimistic. That's reasonable, look 784 00:37:41,640 --> 00:37:43,880 Speaker 2: forward to that cold front coming. Hey, Dave, we appreciate 785 00:37:43,920 --> 00:37:46,320 Speaker 2: the info, man, Thank you. All right, guys'll have a 786 00:37:46,320 --> 00:37:46,520 Speaker 2: goo on. 787 00:37:47,760 --> 00:37:49,400 Speaker 3: That was a load of killer information. 788 00:37:49,480 --> 00:37:51,560 Speaker 2: And if you need more killer information on how to 789 00:37:51,640 --> 00:37:54,400 Speaker 2: kill a big giant buck, the Element podcast is your place. 790 00:37:54,520 --> 00:37:57,440 Speaker 2: Right now, we are doing a rut Q and A 791 00:37:57,960 --> 00:37:59,920 Speaker 2: that is extremely extensive. 792 00:38:00,080 --> 00:38:04,279 Speaker 3: A little alliteration for you there. We're gonna have We 793 00:38:04,320 --> 00:38:04,799 Speaker 3: have like. 794 00:38:05,000 --> 00:38:07,479 Speaker 2: Over one hundred questions and We're gonna have a lot 795 00:38:07,480 --> 00:38:12,680 Speaker 2: of action packed a lot of knowledge based information on 796 00:38:12,719 --> 00:38:14,160 Speaker 2: that Q and A. So go check out the Element 797 00:38:14,200 --> 00:38:18,000 Speaker 2: podcast if you haven't, and subscribe while you're there. We 798 00:38:18,000 --> 00:38:21,040 Speaker 2: really appreciate that. By the way, if you want something 799 00:38:21,040 --> 00:38:25,319 Speaker 2: more in the textual form, Tony J. Peterson has an 800 00:38:25,440 --> 00:38:29,160 Speaker 2: article on the Wired to Hunt feed on media dot 801 00:38:29,200 --> 00:38:32,640 Speaker 2: com that is about blind calling strategies for white tails, 802 00:38:33,719 --> 00:38:35,920 Speaker 2: and I don't think he means closing your eyes in rattling, 803 00:38:36,360 --> 00:38:38,719 Speaker 2: So you better have to go check that out to 804 00:38:38,760 --> 00:38:42,319 Speaker 2: see actually what works for calling for white tails. By 805 00:38:42,360 --> 00:38:44,840 Speaker 2: the way, Mediator Season twelve is out on the Media 806 00:38:44,960 --> 00:38:46,279 Speaker 2: YouTube channel as well. 807 00:38:46,360 --> 00:38:47,440 Speaker 6: Tyler, what else is happening? 808 00:38:47,560 --> 00:38:50,319 Speaker 4: The Element has been posting some whitetail content. We got 809 00:38:50,360 --> 00:38:53,239 Speaker 4: a Nebraska video that you should go check out. It's insane. 810 00:38:53,280 --> 00:38:55,920 Speaker 4: There's a sixty yard bomb in that thing, so you 811 00:38:55,920 --> 00:38:57,560 Speaker 4: can either hate or you can go and love it. 812 00:38:58,040 --> 00:39:00,280 Speaker 4: And there's gonna be a lot more white tails stuff 813 00:39:00,280 --> 00:39:02,799 Speaker 4: coming onto the Element channel here pretty soon now. In fact, 814 00:39:02,800 --> 00:39:04,239 Speaker 4: Casey and have to get off of here because we 815 00:39:04,360 --> 00:39:07,560 Speaker 4: got to go look at four different videos and review 816 00:39:07,560 --> 00:39:09,680 Speaker 4: them and make sure they are like we like them, 817 00:39:09,719 --> 00:39:11,400 Speaker 4: and then we're gonna put them out on YouTube, so 818 00:39:11,520 --> 00:39:14,320 Speaker 4: check that out and don't forget stay fresh. This is 819 00:39:14,360 --> 00:39:21,359 Speaker 4: Reugh Fresh.