1 00:00:01,280 --> 00:00:05,120 Speaker 1: Welcome to the Wired to Hunt Foundations podcast, your guide 2 00:00:05,120 --> 00:00:08,920 Speaker 1: to the fundamentals of better deer hunting, presented by first Light, 3 00:00:09,240 --> 00:00:13,600 Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind. 4 00:00:14,120 --> 00:00:18,680 Speaker 1: First Light Go Farther, Stay Longer, and now your host, 5 00:00:19,040 --> 00:00:19,919 Speaker 1: Tony Peterson. 6 00:00:20,480 --> 00:00:22,840 Speaker 2: Hey everyone, welcome to the Wire to Hunt Foundation's podcast, 7 00:00:22,880 --> 00:00:24,599 Speaker 2: which is brought to you by first Light. I'm your host, 8 00:00:24,600 --> 00:00:27,600 Speaker 2: Tony Peterson, and this episode is all about running cameras, 9 00:00:28,000 --> 00:00:35,240 Speaker 2: but not running them like other folks. Probably one of 10 00:00:35,280 --> 00:00:38,320 Speaker 2: the biggest reasons that I love hunting is because there's 11 00:00:38,440 --> 00:00:40,840 Speaker 2: just sick. There's never a good excuse to stop learning, 12 00:00:41,200 --> 00:00:44,080 Speaker 2: and there isn't anything you can do where you'll just 13 00:00:44,320 --> 00:00:47,600 Speaker 2: know it all. Sure, if you're into a small town 14 00:00:47,680 --> 00:00:51,480 Speaker 2: bar and say southwest Wisconsin about I don't know, mid October, 15 00:00:51,920 --> 00:00:55,360 Speaker 2: you'll inevitably meet someone who is fourteen beers deep, you know, 16 00:00:55,400 --> 00:00:58,120 Speaker 2: wearing a faded real Tree shirt from nineteen ninety seven, 17 00:00:58,400 --> 00:01:00,560 Speaker 2: who will let you know that. But he has the 18 00:01:00,600 --> 00:01:03,720 Speaker 2: whole thing totally dialed. But the truth is he doesn't, 19 00:01:04,040 --> 00:01:06,959 Speaker 2: and neither do you. I was reminded of this recently 20 00:01:06,959 --> 00:01:08,920 Speaker 2: when I drove over to northern Wisconsin to cut down 21 00:01:08,959 --> 00:01:11,759 Speaker 2: some trees, scout some deer, and pull a few cameras 22 00:01:11,760 --> 00:01:15,039 Speaker 2: I had left up from November. The images that I 23 00:01:15,040 --> 00:01:18,520 Speaker 2: found when I checked those cameras, they have literally changed 24 00:01:18,520 --> 00:01:20,760 Speaker 2: the course of my hunting plans for this year. They 25 00:01:20,840 --> 00:01:22,720 Speaker 2: taught me a few things that you might be able 26 00:01:22,720 --> 00:01:30,039 Speaker 2: to learn from as well. As I get older, I 27 00:01:30,120 --> 00:01:32,679 Speaker 2: realized there's just like a lot of things that I 28 00:01:32,720 --> 00:01:37,920 Speaker 2: actively dislike. A forced small talk that's way up there 29 00:01:37,920 --> 00:01:41,800 Speaker 2: on the list. Social media, I was maybe right there 30 00:01:41,800 --> 00:01:44,560 Speaker 2: at the top of the list. Standing in line for 31 00:01:44,600 --> 00:01:48,960 Speaker 2: any reason tends to get under my skin. Mark Kenyon, Well, 32 00:01:49,000 --> 00:01:51,680 Speaker 2: you know, kind of just in general, it's pretty tough 33 00:01:51,680 --> 00:01:54,600 Speaker 2: to deal with. But there is one thing about modern 34 00:01:54,680 --> 00:01:59,480 Speaker 2: society that I absolutely love music, or more specifically, you 35 00:01:59,480 --> 00:02:01,440 Speaker 2: can listen to any damn song you want at any 36 00:02:01,440 --> 00:02:04,720 Speaker 2: time and can be exposed to new music all day long. 37 00:02:05,440 --> 00:02:07,680 Speaker 2: You can search it out, you know, you could watch 38 00:02:07,720 --> 00:02:10,920 Speaker 2: some new TV series that is chock full of interesting music. 39 00:02:11,480 --> 00:02:15,560 Speaker 2: It's all over. It has also led to an interesting 40 00:02:15,639 --> 00:02:19,080 Speaker 2: conundrum for musicians in that anyone who has ever written 41 00:02:19,080 --> 00:02:22,360 Speaker 2: a song might find music that is similar to theirs 42 00:02:22,480 --> 00:02:25,639 Speaker 2: out there somewhere. Every once in a while you see 43 00:02:25,639 --> 00:02:29,040 Speaker 2: a news story on this situation, where some popular artists 44 00:02:29,080 --> 00:02:31,040 Speaker 2: will have to go to court to defend a chord 45 00:02:31,040 --> 00:02:35,640 Speaker 2: progression or a specific melody after a different artist, usually 46 00:02:35,680 --> 00:02:38,800 Speaker 2: a pretty much unknown artist, says that they wrote it 47 00:02:38,840 --> 00:02:41,560 Speaker 2: first and that they got ripped off and are definitely 48 00:02:41,680 --> 00:02:46,360 Speaker 2: entitled to some enormous royalties. This is interesting because some 49 00:02:46,560 --> 00:02:50,079 Speaker 2: musicians openly talk about how they lift certain riffs from 50 00:02:50,120 --> 00:02:53,679 Speaker 2: their favorite guitarists or heavily lean on some type of 51 00:02:53,760 --> 00:02:57,520 Speaker 2: music for inspiration. If there is a spirit of admiration 52 00:02:57,639 --> 00:03:00,600 Speaker 2: in this and a tip of the hat to the inspiration, 53 00:03:01,480 --> 00:03:03,840 Speaker 2: it's often an issue of respect and doesn't go to court. 54 00:03:04,480 --> 00:03:07,840 Speaker 2: This tends to happen when two successful artists or bands collide, 55 00:03:08,280 --> 00:03:10,840 Speaker 2: but isn't the case when a successful artist creates something 56 00:03:10,880 --> 00:03:14,240 Speaker 2: similar to a no namer. Now, there are legitimate cases 57 00:03:14,280 --> 00:03:17,600 Speaker 2: of this, I'm sure, but these no namers also give 58 00:03:17,639 --> 00:03:21,240 Speaker 2: off strong ambulance chaser vibes and it feels like they're 59 00:03:21,240 --> 00:03:23,960 Speaker 2: looking for a payday and not much else. You know, 60 00:03:24,080 --> 00:03:27,920 Speaker 2: then you have the classic plagiarizer accusations. I didn't know 61 00:03:28,000 --> 00:03:31,600 Speaker 2: this until Larry recently, but apparently a lot of people 62 00:03:31,680 --> 00:03:36,040 Speaker 2: thought Nirvana's anthem for disenfranchised teenagers in the early nineties 63 00:03:36,160 --> 00:03:39,880 Speaker 2: smells like teen Spirit apparently sounds a hell of a 64 00:03:39,920 --> 00:03:45,240 Speaker 2: lot like Boston's more than a feeling. I guess maybe 65 00:03:45,320 --> 00:03:49,040 Speaker 2: then you have the big one, led Zeppelin's monster, huge, 66 00:03:49,040 --> 00:03:52,600 Speaker 2: mega hit, Stairway to Heaven, which, for all you young fellows 67 00:03:52,640 --> 00:03:55,560 Speaker 2: out there struggling with the ladies, just learned to play 68 00:03:55,560 --> 00:03:58,280 Speaker 2: the intro to that song on an acoustic guitar and 69 00:03:58,320 --> 00:04:01,280 Speaker 2: at least you'll have a fighting chance since it's been 70 00:04:01,320 --> 00:04:04,720 Speaker 2: a few decades since led Zeppelin topped the charts. Look 71 00:04:04,760 --> 00:04:07,600 Speaker 2: at it this way. They were like a group of 72 00:04:07,680 --> 00:04:10,920 Speaker 2: Taylor Swifts, swifting it up all over the planet for 73 00:04:11,000 --> 00:04:14,320 Speaker 2: quite a few years, and Stairway to Heaven was their 74 00:04:14,400 --> 00:04:17,799 Speaker 2: biggest hit amongst a hell of a lot of big hits. 75 00:04:18,440 --> 00:04:21,200 Speaker 2: In twenty sixteen, after Stairway to Heaven had been out 76 00:04:21,200 --> 00:04:25,360 Speaker 2: for multiple decades, the bassist from a band called Spirit 77 00:04:25,839 --> 00:04:28,800 Speaker 2: filed a lawsuit saying that led Zeppelin had ripped off 78 00:04:28,839 --> 00:04:31,560 Speaker 2: some of his riffs. I guess a jury found that 79 00:04:31,600 --> 00:04:33,400 Speaker 2: to be great a bullshit, but it was a good 80 00:04:33,400 --> 00:04:37,159 Speaker 2: try anyway. The thing about this stuff is that you 81 00:04:37,279 --> 00:04:42,640 Speaker 2: can't escape inspiration if you're creating things. It's impossible to 82 00:04:42,680 --> 00:04:45,720 Speaker 2: be a music lover and an artist and not draw 83 00:04:45,760 --> 00:04:49,000 Speaker 2: from others' work. That's actually what's pretty cool about music 84 00:04:49,120 --> 00:04:51,880 Speaker 2: and authors and painters and anyone who takes an idea 85 00:04:52,320 --> 00:04:55,400 Speaker 2: and turns it into something that others can enjoy in 86 00:04:55,440 --> 00:04:59,279 Speaker 2: some form. In that way, it's like a giant collaboration 87 00:04:59,400 --> 00:05:02,000 Speaker 2: between different people. And do you know what else is 88 00:05:02,120 --> 00:05:06,720 Speaker 2: like that? Golf? I'm sorry, I actually am sorry. I 89 00:05:06,760 --> 00:05:10,520 Speaker 2: feel really bad. I can't help myself. It's hunting, and 90 00:05:10,600 --> 00:05:15,440 Speaker 2: more specifically hunting strategies and styles. We see what others 91 00:05:15,480 --> 00:05:18,240 Speaker 2: are doing and we emulate them with kind of a 92 00:05:18,279 --> 00:05:22,120 Speaker 2: personal twist. It's no different from hearing a song that 93 00:05:22,200 --> 00:05:25,280 Speaker 2: worms its way into your brain and then finding yourself 94 00:05:25,320 --> 00:05:28,000 Speaker 2: playing some chord progression that sounds an awful lot like 95 00:05:28,040 --> 00:05:31,919 Speaker 2: that song, because, for whatever reasons, those sounds in that 96 00:05:32,160 --> 00:05:36,440 Speaker 2: order make you happy. With hunting, you might see someone 97 00:05:36,440 --> 00:05:38,520 Speaker 2: who puts a series of food plots on a small 98 00:05:38,560 --> 00:05:41,400 Speaker 2: property to not only draw a deer in, but funnel 99 00:05:41,440 --> 00:05:44,320 Speaker 2: them through on a specific route. Or you might have 100 00:05:44,360 --> 00:05:47,760 Speaker 2: a buddy who is a certified public land whitetail nutcase 101 00:05:48,080 --> 00:05:50,840 Speaker 2: who runs cameras in a way that is just better 102 00:05:51,400 --> 00:05:55,360 Speaker 2: and different from your personal strategy. This is what happened 103 00:05:55,400 --> 00:05:59,160 Speaker 2: to me with my buddy Clint Campbell, who coincidentally or 104 00:05:59,200 --> 00:06:01,760 Speaker 2: maybe not, is also one hell of a guitar player, 105 00:06:02,440 --> 00:06:04,560 Speaker 2: but you probably know him as the host of the 106 00:06:04,560 --> 00:06:08,320 Speaker 2: Truth from the Stand podcast. But he's also a hunter 107 00:06:08,400 --> 00:06:12,159 Speaker 2: who plays the long game with trail cameras. He's always 108 00:06:12,200 --> 00:06:15,839 Speaker 2: sending me pictures of big mountain bucks from Pennsylvania along 109 00:06:15,880 --> 00:06:19,599 Speaker 2: with texts that explain how he's piecing together a large 110 00:06:19,600 --> 00:06:22,560 Speaker 2: puzzle on ground that anyone can hunt, even though most 111 00:06:22,560 --> 00:06:25,800 Speaker 2: of his competition isn't hunting the way he is, and 112 00:06:26,040 --> 00:06:29,920 Speaker 2: certainly isn't scouting the way he is now. Clint's scouting style, 113 00:06:30,480 --> 00:06:32,719 Speaker 2: you know, it's just vastly different from a lot of 114 00:06:32,720 --> 00:06:35,800 Speaker 2: public land whitetail hunters. He covers a lot of ground 115 00:06:36,120 --> 00:06:38,600 Speaker 2: which is similar, you know, especially in the winter in 116 00:06:38,640 --> 00:06:42,960 Speaker 2: the early spring months, he obsesses over access, deer sign, 117 00:06:43,200 --> 00:06:45,799 Speaker 2: you know, all the usual suspects. But he also puts 118 00:06:45,920 --> 00:06:49,000 Speaker 2: cameras out and leaves them for months at a time 119 00:06:49,520 --> 00:06:52,120 Speaker 2: to gather a better picture of what the local bucks 120 00:06:52,279 --> 00:06:55,960 Speaker 2: do through you know, different months, different weather events, different 121 00:06:56,000 --> 00:06:57,960 Speaker 2: times of the year, when they might deal with tons 122 00:06:57,960 --> 00:07:01,599 Speaker 2: of people or almost know people. This is not something 123 00:07:01,680 --> 00:07:04,600 Speaker 2: I've done a whole lot in my life, but I've 124 00:07:04,680 --> 00:07:07,840 Speaker 2: started to lift a few riffs from Clint, if you will. 125 00:07:08,920 --> 00:07:12,200 Speaker 2: It happened mostly by an accident of timing, at least 126 00:07:12,200 --> 00:07:14,600 Speaker 2: the first time I left my cameras out. That was 127 00:07:14,640 --> 00:07:17,720 Speaker 2: in northern Wisconsin, and I thought I'd have to have 128 00:07:17,800 --> 00:07:20,000 Speaker 2: some time to run out and grab a camera before 129 00:07:20,040 --> 00:07:22,680 Speaker 2: winter set in. I didn't, and so one of my 130 00:07:22,720 --> 00:07:26,200 Speaker 2: cameras stayed out there, shivering in the cold, but diligently 131 00:07:26,240 --> 00:07:28,880 Speaker 2: taking pictures for me, so that when I pulled it 132 00:07:28,920 --> 00:07:31,240 Speaker 2: in the spring, I got to see all kinds of 133 00:07:31,240 --> 00:07:34,360 Speaker 2: interesting stuff. I got to see who made it through 134 00:07:34,360 --> 00:07:37,240 Speaker 2: the gun season and who survived until various points of 135 00:07:37,240 --> 00:07:39,960 Speaker 2: the winter. I got to see how a huge blizzard 136 00:07:39,960 --> 00:07:43,000 Speaker 2: affected deer movement and what a three week thaw did 137 00:07:43,040 --> 00:07:46,680 Speaker 2: to their travels and habits. It was interesting, but mostly 138 00:07:46,720 --> 00:07:48,680 Speaker 2: showed me that there were a couple of spots I 139 00:07:48,840 --> 00:07:51,480 Speaker 2: probably should have had stands to sit during the rut. 140 00:07:52,800 --> 00:07:56,680 Speaker 2: Since then, I've conducted a more deliberate trail camera strategy 141 00:07:56,720 --> 00:07:59,600 Speaker 2: over there to see what the long game look into 142 00:07:59,640 --> 00:08:03,520 Speaker 2: the deer world would reveal. This year, I took it 143 00:08:03,560 --> 00:08:07,200 Speaker 2: to a higher level, I guess, kind of by leaving 144 00:08:07,240 --> 00:08:10,480 Speaker 2: three cameras a piece on two different pieces of private 145 00:08:10,520 --> 00:08:13,520 Speaker 2: ground over there. I hung all of them in mid 146 00:08:13,560 --> 00:08:16,360 Speaker 2: October while the rut was still going and the gun 147 00:08:16,400 --> 00:08:19,400 Speaker 2: season was coming up quick. Now, when I went back 148 00:08:19,440 --> 00:08:22,080 Speaker 2: to pull those cameras in the beginning of March, the 149 00:08:22,280 --> 00:08:27,160 Speaker 2: cards showed a story that was fascinating from start to finish. Well, 150 00:08:27,520 --> 00:08:30,000 Speaker 2: if I'm being honest, five of the cameras did, because 151 00:08:30,000 --> 00:08:32,600 Speaker 2: one of them never took a picture because I left 152 00:08:32,600 --> 00:08:35,640 Speaker 2: it on setup mode and never actually started it, which 153 00:08:35,679 --> 00:08:38,360 Speaker 2: is the deer hunting equivalent of filling a knee high 154 00:08:38,440 --> 00:08:40,920 Speaker 2: sock with gravel and then swinging it as hard as 155 00:08:40,920 --> 00:08:54,520 Speaker 2: you can right at your own knackers. The other five 156 00:08:54,600 --> 00:08:58,400 Speaker 2: did much better for starters. I wanted to see what 157 00:08:58,440 --> 00:09:01,640 Speaker 2: the buck movement looked like during the Wisconsin gun season, 158 00:09:02,120 --> 00:09:04,840 Speaker 2: since it's the time when about six hundred thousand people 159 00:09:04,920 --> 00:09:07,680 Speaker 2: hit the woods with rifles in their hands. Now, while 160 00:09:07,720 --> 00:09:11,960 Speaker 2: the deer movement definitely slowed down, then it didn't stop, 161 00:09:12,720 --> 00:09:16,600 Speaker 2: not even the daylight movement at its most basic level. 162 00:09:17,320 --> 00:09:20,480 Speaker 2: It showed that a lot of time and stand on 163 00:09:20,600 --> 00:09:24,320 Speaker 2: either property would have probably led to an encounter with 164 00:09:24,360 --> 00:09:28,480 Speaker 2: a few different bucks. Listen. Not great, but not terrible. 165 00:09:29,200 --> 00:09:31,000 Speaker 2: It also showed a group of dozes on one of 166 00:09:31,000 --> 00:09:33,680 Speaker 2: my properties walking down a trail half an hour into 167 00:09:33,720 --> 00:09:36,920 Speaker 2: the morning on the second day of the season. Then 168 00:09:36,960 --> 00:09:40,040 Speaker 2: they spooked, and my buddy walked down the trail four 169 00:09:40,080 --> 00:09:42,600 Speaker 2: minutes later on his way to sit one of my stands. 170 00:09:43,000 --> 00:09:45,840 Speaker 2: He saw six dos, which is a lot for that area, 171 00:09:46,240 --> 00:09:48,680 Speaker 2: and then walked out an hour and a half later. 172 00:09:49,160 --> 00:09:51,720 Speaker 2: He had no idea. He booted all of those doughs 173 00:09:51,760 --> 00:09:53,959 Speaker 2: ahead of him on the way in, and he wasn't 174 00:09:53,960 --> 00:09:56,320 Speaker 2: there long enough to witness any of the midday movement 175 00:09:56,360 --> 00:10:01,080 Speaker 2: that happened there later. I've unintentionally run this experiment with 176 00:10:01,160 --> 00:10:04,040 Speaker 2: him and his dad several times, and it's always a 177 00:10:04,160 --> 00:10:08,000 Speaker 2: lesson in time on stand. They have very little faith 178 00:10:08,000 --> 00:10:10,240 Speaker 2: in a buck walking by, so they don't put in 179 00:10:10,280 --> 00:10:13,480 Speaker 2: hardly any time on stand in the midday or even 180 00:10:13,520 --> 00:10:16,880 Speaker 2: when it's prime time. Sometimes, judging by the picks I've 181 00:10:16,880 --> 00:10:20,440 Speaker 2: gotten during the gun season, their strategy is costing them dear. 182 00:10:21,600 --> 00:10:25,320 Speaker 2: Another interesting finding from just running multiple cameras during a 183 00:10:25,360 --> 00:10:28,559 Speaker 2: busy gun season was that while there were days when 184 00:10:28,559 --> 00:10:32,480 Speaker 2: the overall movement was really rough, the best buck movement 185 00:10:32,640 --> 00:10:37,240 Speaker 2: was almost always between like nine am and two pm. 186 00:10:37,760 --> 00:10:41,080 Speaker 2: That midday thing is real. It's just hard to believe 187 00:10:41,160 --> 00:10:44,040 Speaker 2: for a lot of folks, especially in a high hunting 188 00:10:44,040 --> 00:10:47,600 Speaker 2: pressure situation. But if you think about it, if your 189 00:10:47,720 --> 00:10:51,880 Speaker 2: state's gun season happens during the rut, which is real common, 190 00:10:52,480 --> 00:10:55,960 Speaker 2: those bucks aren't going to stop chasing and cruising. You know, 191 00:10:56,000 --> 00:10:58,280 Speaker 2: they might do a lot of their looking when there 192 00:10:58,320 --> 00:11:01,160 Speaker 2: is a lull in the hunter activity, which happens in 193 00:11:01,200 --> 00:11:04,240 Speaker 2: the middle of the day. I know you know that, 194 00:11:04,600 --> 00:11:07,040 Speaker 2: but do you know it with experience or because you've 195 00:11:07,040 --> 00:11:09,600 Speaker 2: heard dipshits like me say it? Because there's a big 196 00:11:09,640 --> 00:11:13,840 Speaker 2: difference there. I was also really curious to see who 197 00:11:13,920 --> 00:11:16,719 Speaker 2: it was left after the gun season. I don't mean 198 00:11:16,720 --> 00:11:19,560 Speaker 2: this just in terms of bucks either. The county we 199 00:11:19,679 --> 00:11:22,520 Speaker 2: hunt over there offers up a huge amount of dought eggs, 200 00:11:22,800 --> 00:11:25,720 Speaker 2: which makes zero sense to me, considering it took me 201 00:11:25,760 --> 00:11:27,679 Speaker 2: twenty one days of hunting to see a single dough 202 00:11:27,760 --> 00:11:31,280 Speaker 2: last fall. Maybe the deer managers over there know something 203 00:11:31,400 --> 00:11:35,320 Speaker 2: I don't, or maybe I know something they don't anyway, 204 00:11:35,960 --> 00:11:38,120 Speaker 2: I just wanted to see how many deer made it through. 205 00:11:38,559 --> 00:11:41,520 Speaker 2: I'd have guessed I might have had a couple of 206 00:11:41,520 --> 00:11:44,120 Speaker 2: bucks on each property and a couple of dos but 207 00:11:44,160 --> 00:11:46,440 Speaker 2: it was clear that at least six bucks made it 208 00:11:46,480 --> 00:11:49,880 Speaker 2: through in each place, and that a decent amount of 209 00:11:49,880 --> 00:11:53,040 Speaker 2: doz did as well, you know, pretty similar to the 210 00:11:53,120 --> 00:11:56,520 Speaker 2: number of bucks. What was cool was that there was 211 00:11:56,559 --> 00:11:59,400 Speaker 2: a mix of bucks at each place, ranging from barely 212 00:11:59,480 --> 00:12:02,240 Speaker 2: spikes to one deer that is probably pushing one hundred 213 00:12:02,240 --> 00:12:05,360 Speaker 2: and sixty inches, and who, by the couple of times 214 00:12:05,400 --> 00:12:07,800 Speaker 2: I got pictures of him, showed me he does not 215 00:12:07,880 --> 00:12:11,080 Speaker 2: like trail cameras one bit. There's a lesson in there too. 216 00:12:12,080 --> 00:12:16,240 Speaker 2: In fact, his reaction was not unlike just about every 217 00:12:16,360 --> 00:12:19,280 Speaker 2: old long nosed dough that spotted my cameras over there. 218 00:12:19,960 --> 00:12:22,840 Speaker 2: This year, all of my cameras will be a lot 219 00:12:22,920 --> 00:12:27,080 Speaker 2: more discreet. What was really interesting in the post gun 220 00:12:27,120 --> 00:12:31,560 Speaker 2: season findings, besides taking stock and the survivors, was seeing 221 00:12:31,559 --> 00:12:34,719 Speaker 2: the conditions that got the deer moving. We've had the 222 00:12:34,760 --> 00:12:38,240 Speaker 2: mildest winter pretty much ever, I think, but the few 223 00:12:38,320 --> 00:12:41,559 Speaker 2: cold fronts we had, you know, kind of during December, 224 00:12:41,840 --> 00:12:45,240 Speaker 2: got the deer on their feet. No surprise there. It 225 00:12:45,320 --> 00:12:48,440 Speaker 2: was just interesting to see on two different properties and 226 00:12:48,640 --> 00:12:52,640 Speaker 2: also see once again how often they moved right in 227 00:12:52,679 --> 00:12:55,679 Speaker 2: the middle of the day when it was very unlikely 228 00:12:55,800 --> 00:12:59,480 Speaker 2: to be motivated by anything other than food. Definitely probably 229 00:12:59,520 --> 00:13:03,440 Speaker 2: not the rut. What really started to stand out to 230 00:13:03,440 --> 00:13:06,520 Speaker 2: me as I filed through thousands of pictures was that 231 00:13:06,559 --> 00:13:10,000 Speaker 2: the buck activity didn't really change much. From at least 232 00:13:10,040 --> 00:13:14,480 Speaker 2: one perspective, there was far more consistent movement over there, 233 00:13:14,840 --> 00:13:18,520 Speaker 2: even if that movement wasn't all that frequent. What I 234 00:13:18,640 --> 00:13:21,760 Speaker 2: mean by that is, for example, on one of the 235 00:13:21,800 --> 00:13:24,240 Speaker 2: cameras that allows me to monitor a subtle trail that 236 00:13:24,320 --> 00:13:25,960 Speaker 2: keeps the deer in the woods and away from the 237 00:13:25,960 --> 00:13:29,520 Speaker 2: houses or openings or anything anywhere nearby where they might 238 00:13:29,559 --> 00:13:33,200 Speaker 2: get spotted, there is always a buck in daylight at 239 00:13:33,200 --> 00:13:36,120 Speaker 2: some point in every two or three day time period. 240 00:13:36,840 --> 00:13:40,240 Speaker 2: Now this is in southern Iowa, so that's actually pretty good, 241 00:13:40,360 --> 00:13:43,080 Speaker 2: considering a whole section over there might not even have 242 00:13:43,200 --> 00:13:46,640 Speaker 2: a dozen bucks using it on any given year. Where 243 00:13:46,679 --> 00:13:50,160 Speaker 2: that camera was, there is now a sneaky access trail 244 00:13:50,240 --> 00:13:52,880 Speaker 2: cut to a double trunk pine tree that will have 245 00:13:52,920 --> 00:13:55,080 Speaker 2: a stand in it. For next fall, and I will 246 00:13:55,120 --> 00:13:57,160 Speaker 2: go in there and I will hunt it hard during 247 00:13:57,160 --> 00:14:00,400 Speaker 2: the rut. If I still have a tag left. I'm 248 00:14:00,440 --> 00:14:05,400 Speaker 2: honestly more excited for that than anything this fall, besides, 249 00:14:05,480 --> 00:14:07,199 Speaker 2: you know, getting another crack at putting one of my 250 00:14:07,280 --> 00:14:10,000 Speaker 2: daughters on a bear. And keep in mind, I'm probably 251 00:14:10,040 --> 00:14:13,679 Speaker 2: going to draw an I would tag this year. Another 252 00:14:13,840 --> 00:14:16,920 Speaker 2: zoom out epiphany that I had, which my buddy still 253 00:14:16,960 --> 00:14:21,200 Speaker 2: doesn't believe, is that the northern Wisconsin deer don't behave 254 00:14:21,400 --> 00:14:24,720 Speaker 2: much different from deer in you know, much better regions. 255 00:14:25,200 --> 00:14:28,320 Speaker 2: There just aren't very many of them and they deal 256 00:14:28,360 --> 00:14:31,680 Speaker 2: with a lot more predation. This is another thing that 257 00:14:31,720 --> 00:14:34,680 Speaker 2: my camera showed me, even though I knew it. I 258 00:14:34,720 --> 00:14:37,960 Speaker 2: can't prove this, but other than bears, it seems like 259 00:14:38,000 --> 00:14:41,440 Speaker 2: the coyotes, bobcats, and wolves all showed up and stuck 260 00:14:41,440 --> 00:14:44,640 Speaker 2: around before moving on. Now this isn't to say there 261 00:14:44,640 --> 00:14:49,040 Speaker 2: weren't plenty of random picks of predators, because I had plenty, 262 00:14:49,840 --> 00:14:51,960 Speaker 2: but there were also times where it was obvious the 263 00:14:52,000 --> 00:14:55,480 Speaker 2: same three coyotes were working the area around my camera heavily, 264 00:14:55,960 --> 00:14:59,000 Speaker 2: and that the deer movement went way down because of this. 265 00:15:00,240 --> 00:15:03,960 Speaker 2: I saw that saturation of coyotes and on both places 266 00:15:04,120 --> 00:15:07,680 Speaker 2: wolves at different times, and as you can guess, when 267 00:15:07,720 --> 00:15:11,440 Speaker 2: that happens, it's best to go somewhere else. Even the 268 00:15:11,480 --> 00:15:15,040 Speaker 2: bobcats seem to kind of group up and hang around 269 00:15:15,080 --> 00:15:17,200 Speaker 2: for a while. But I'm, you know, a little bit 270 00:15:17,240 --> 00:15:19,840 Speaker 2: more inclined to believe that's just a family unit that 271 00:15:19,840 --> 00:15:22,480 Speaker 2: I'm seeing there. I also have no idea what I'm 272 00:15:22,480 --> 00:15:24,800 Speaker 2: talking about when it comes to this, I'm just spitballing. 273 00:15:25,960 --> 00:15:29,800 Speaker 2: Maybe the biggest takeaway from this experiment, besides how important 274 00:15:29,800 --> 00:15:33,200 Speaker 2: time in the woods really is no matter where you hunt, 275 00:15:33,600 --> 00:15:36,120 Speaker 2: is that we often think about deer movement the wrong 276 00:15:36,200 --> 00:15:39,640 Speaker 2: way or in an incomplete way. I should probably say 277 00:15:40,200 --> 00:15:42,600 Speaker 2: we think of summer bucks when we first start putting 278 00:15:42,600 --> 00:15:45,520 Speaker 2: cameras out, you know, and seeing our bachelor groups, and 279 00:15:45,560 --> 00:15:47,840 Speaker 2: as the summer moves toward fall, we start to think about, 280 00:15:48,200 --> 00:15:51,720 Speaker 2: you know, well, fall movement. This is where we laser focus, 281 00:15:51,920 --> 00:15:54,920 Speaker 2: and we think about feeding areas, staging areas, and funnels. 282 00:15:55,200 --> 00:15:57,560 Speaker 2: You know, something that might work this week but not 283 00:15:57,640 --> 00:16:00,120 Speaker 2: the next, or might be on fire next week, but 284 00:16:00,160 --> 00:16:03,400 Speaker 2: the deer just aren't quite there yet. A long game 285 00:16:03,520 --> 00:16:08,040 Speaker 2: camera strategy kind of exposes that as faulty thinking, of course, 286 00:16:08,080 --> 00:16:11,080 Speaker 2: a funnel might get busier in November when the chase 287 00:16:11,160 --> 00:16:13,960 Speaker 2: is on, But that same funnel we'll probably host some 288 00:16:14,000 --> 00:16:17,440 Speaker 2: buck travel in December two and January, and February and 289 00:16:17,600 --> 00:16:21,239 Speaker 2: March and every dang month of the year, including September 290 00:16:21,280 --> 00:16:24,760 Speaker 2: and October. What this means is that while you're waiting 291 00:16:24,760 --> 00:16:27,280 Speaker 2: for everything to get right for a certain spot, the 292 00:16:27,360 --> 00:16:30,120 Speaker 2: deer might be out there using it their own leisure. Already, 293 00:16:31,440 --> 00:16:34,120 Speaker 2: all of the cameras I hung in November were in 294 00:16:34,120 --> 00:16:38,280 Speaker 2: spots that I thought would catch November movement. But November 295 00:16:38,400 --> 00:16:41,400 Speaker 2: movement isn't as different from the movement in other months 296 00:16:41,440 --> 00:16:45,040 Speaker 2: as we think, And that's important to acknowledge and if 297 00:16:45,080 --> 00:16:49,120 Speaker 2: you can try to understand, because it has ramifications beyond 298 00:16:49,120 --> 00:16:51,800 Speaker 2: where you'll do an all day sit during your rutation. 299 00:16:52,920 --> 00:16:55,760 Speaker 2: Just think about it this way. Take your favorite pinch 300 00:16:55,840 --> 00:16:59,320 Speaker 2: point or maybe your favorite river crossing, run a camera 301 00:16:59,360 --> 00:17:02,560 Speaker 2: on it for a year. What do you think you'd learn. 302 00:17:03,400 --> 00:17:06,119 Speaker 2: My guess is that you'd learn that they are good 303 00:17:06,200 --> 00:17:09,320 Speaker 2: spots beyond their usefulness and the timing window we focus 304 00:17:09,320 --> 00:17:13,000 Speaker 2: on to actually hunt them. That's important for no other 305 00:17:13,080 --> 00:17:16,600 Speaker 2: reason than to rewire your willingness to hunt whenever you can, 306 00:17:17,119 --> 00:17:20,160 Speaker 2: versus hunting when you believe it only should be good. 307 00:17:21,400 --> 00:17:24,359 Speaker 2: A long game camera strategy can teach you this, and 308 00:17:24,400 --> 00:17:27,639 Speaker 2: it's a lesson that is worth learning for everyone. It 309 00:17:27,720 --> 00:17:30,119 Speaker 2: might not matter if you have a banging spot to 310 00:17:30,240 --> 00:17:32,560 Speaker 2: hunt that no one else can set foot on, but 311 00:17:32,640 --> 00:17:36,520 Speaker 2: when you're dealing with smaller spots or shared spots, understanding 312 00:17:36,520 --> 00:17:40,200 Speaker 2: how consistent the deer movement is all year can put 313 00:17:40,240 --> 00:17:42,439 Speaker 2: you in a spot to take advantage of that movement 314 00:17:42,920 --> 00:17:46,320 Speaker 2: well outside the rut, or well outside of whatever weekends 315 00:17:46,320 --> 00:17:49,080 Speaker 2: you feel like you might just want to hunt. It's 316 00:17:49,200 --> 00:17:53,280 Speaker 2: honestly a confidence thing, and that matters. It's intriguing enough 317 00:17:53,280 --> 00:17:54,959 Speaker 2: to me that I'm already getting ready to put some 318 00:17:55,000 --> 00:17:58,439 Speaker 2: cameras out and leave them at least until Midsummer. I 319 00:17:58,440 --> 00:18:00,879 Speaker 2: feel like the value of their intel we won't be 320 00:18:01,000 --> 00:18:03,399 Speaker 2: that high. But I also feel like I might be 321 00:18:03,480 --> 00:18:06,720 Speaker 2: totally wrong on that. Plus, it's kind of like getting 322 00:18:06,760 --> 00:18:09,440 Speaker 2: paid dividends on some stock or earning royalties from a 323 00:18:09,440 --> 00:18:12,359 Speaker 2: book you wrote seven years ago. In other words, you 324 00:18:12,400 --> 00:18:15,560 Speaker 2: know you're making money while you sleep, sort of. A 325 00:18:15,640 --> 00:18:18,840 Speaker 2: long game camera strategy is like that, and it's worth 326 00:18:18,880 --> 00:18:21,880 Speaker 2: it if you have the opportunity. It's also worth it 327 00:18:22,000 --> 00:18:24,679 Speaker 2: to listen next week because I'm going to take a 328 00:18:24,720 --> 00:18:29,960 Speaker 2: deep dive into the topic of game management. That's it 329 00:18:30,040 --> 00:18:32,199 Speaker 2: for this episode. I'm Tony Peterson and it's been the 330 00:18:32,240 --> 00:18:35,159 Speaker 2: Wired to Hunt Foundation's podcast, which is brought to you 331 00:18:35,200 --> 00:18:38,560 Speaker 2: by First Light. As always, thank you so much for 332 00:18:38,640 --> 00:18:42,240 Speaker 2: all your support. We honestly appreciate it so much. Here 333 00:18:42,280 --> 00:18:45,040 Speaker 2: at meat Eater, all of us do. If you like 334 00:18:45,119 --> 00:18:47,919 Speaker 2: this podcast, if you want to listen to Clay's podcast 335 00:18:48,040 --> 00:18:49,720 Speaker 2: or something else, you want to check out some how 336 00:18:49,760 --> 00:18:54,119 Speaker 2: to videos, some hunting episodes, read some articles, whatever, you 337 00:18:54,119 --> 00:18:57,199 Speaker 2: can head on over to the medeater dot com. Tons 338 00:18:57,280 --> 00:19:00,280 Speaker 2: of hunting content there. Maybe you want a new recipe. Ever, 339 00:19:00,520 --> 00:19:02,520 Speaker 2: go there, check it out, and once again, thank you 340 00:19:02,600 --> 00:19:10,359 Speaker 2: so much for your support. H