Latest / Wired To Hunt Podcast / Ep. 585: A Masterclass on Patterning Bucks with Mark Drury

Transcript

Ep. 585: A Masterclass on Patterning Bucks with Mark Drury · Wired To Hunt Podcast

• 0:01
  Speaker 1: Welcome to the Wired to Hunt podcast, home of the
• 0:05
  Speaker 1: modern white tail hunter and now your host, Mark Kenyon.
• 0:11
  Speaker 1: Welcome to the Wired to Hunt podcast. I'm your host,
• 0:15
  Speaker 1: Mark Kenyon, and today in the show, I am joined
• 0:18
  Speaker 1: by the mad scientist, the greatest of all times, some say,
• 0:23
  Speaker 1: Mark Drury, for an absolute masterclass on the art of
• 0:27
  Speaker 1: patterning bucks. All right, welcome to the Wired to Hunt podcast,
• 0:40
  Speaker 1: brought to you by First Light. It's good to be here.
• 0:44
  Speaker 1: I'm very very excited. We have got a great episode
• 0:48
  Speaker 1: for you today and it is kicking off a series.
• 0:51
  Speaker 1: This has been the year of series. It's been a
• 0:53
  Speaker 1: fun way to organize our months as we've gone throughout
• 0:56
  Speaker 1: the year. And after killing my buck last week in Chigan,
• 1:00
  Speaker 1: I spent some time thinking about what, you know, what
• 1:03
  Speaker 1: led to that success? What was I doing? What was
• 1:06
  Speaker 1: I geeking out about? And it was really patterning. I
• 1:08
  Speaker 1: was having so much fun looking at all the data,
• 1:11
  Speaker 1: thinking through what are these deer doing and why are
• 1:13
  Speaker 1: they doing it? And where are they going to do
• 1:15
  Speaker 1: it again? And when are they going to do it again?
• 1:17
  Speaker 1: And all that was part of what led me to
• 1:20
  Speaker 1: you know, hunting where I did and killing that buck
• 1:22
  Speaker 1: the way that I did, and I got to think
• 1:25
  Speaker 1: there's a whole lot more we could be discussing on
• 1:27
  Speaker 1: this idea of patterning bucks, and the month of October
• 1:30
  Speaker 1: is a great month to pattern a buck. So October
• 1:36
  Speaker 1: is the month of the pattern and we're going to
• 1:39
  Speaker 1: kick that off. If we don't include last week's which
• 1:42
  Speaker 1: was kind of like a soft kickoff today, the real
• 1:45
  Speaker 1: kickoff of this month is this masterclass with Mark Drewy.
• 1:50
  Speaker 1: You should all know Mark. He's been the podcast many times.
• 1:53
  Speaker 1: He's one of the co founders of Drewy Outdoors, host
• 1:56
  Speaker 1: of many different deer hunting TV shows. You can find
• 1:59
  Speaker 1: him on the deer Cast app, the Dury Outdoors YouTube channel,
• 2:02
  Speaker 1: all over the place, and he is an absolute wealth
• 2:05
  Speaker 1: of information. And there's two things that I think he
• 2:08
  Speaker 1: specializes in, maybe three, but one of them is really
• 2:12
  Speaker 1: dissecting and deep dive understanding how environmental and weather factors
• 2:18
  Speaker 1: impact dear movement. We've talked to him several times deep
• 2:22
  Speaker 1: on that topic. But another one that we haven't gone
• 2:24
  Speaker 1: quite deep on in the past is patterning deer. How
• 2:28
  Speaker 1: he kind of collects and analyzes data about specific deer
• 2:33
  Speaker 1: and then helps develop a pattern of what they're gonna
• 2:35
  Speaker 1: do and when they're gonna do it, so he can
• 2:37
  Speaker 1: be there to get a shot when they do. And
• 2:40
  Speaker 1: that is our topic today. We go into all facets
• 2:45
  Speaker 1: of patterning deer, everything from how he collects the data
• 2:48
  Speaker 1: to how he correlates different factors with his observations and pictures,
• 2:52
  Speaker 1: all the way to how he chooses when to actually
• 2:54
  Speaker 1: act on that stuff and try to take a shot
• 2:57
  Speaker 1: at these deer. We talk early season patterning, we talked
• 3:00
  Speaker 1: learning during the rut, we talk late season, all sorts
• 3:03
  Speaker 1: of stuff in between. This is a banger episode. And
• 3:06
  Speaker 1: if you want to kill a deer this month in October,
• 3:08
  Speaker 1: shoot even if you want to kill in November or December,
• 3:11
  Speaker 1: you're gonna learn something today that will help you do it.
• 3:13
  Speaker 1: I loved it. I think you will too. I want
• 3:16
  Speaker 1: to give you a couple of quick updates before I
• 3:19
  Speaker 1: let you go. H one. The final episode of my
• 3:23
  Speaker 1: show Deer Country drops this week, so if you haven't yet,
• 3:28
  Speaker 1: headed over to the Meteor YouTube channel and check out.
• 3:31
  Speaker 1: Deer Country is the six episode series that documented my
• 3:35
  Speaker 1: hunts last year as I traveled the country, met with
• 3:38
  Speaker 1: different regional experts, sent spent one day learning from them
• 3:41
  Speaker 1: in their neck of the woods, and then I spent
• 3:43
  Speaker 1: the next three days to seeing if I could replicate
• 3:45
  Speaker 1: their style in their general area and pull it off myself.
• 3:49
  Speaker 1: This last episode was all about looking behind the curtain
• 3:53
  Speaker 1: of how you know folks in the Midwest managed for
• 3:56
  Speaker 1: Big Deer and actually in this case run an outfitting situation.
• 4:00
  Speaker 1: Very interesting, very new kind of situation for me. I
• 4:03
  Speaker 1: would love it if you could check it out. So
• 4:04
  Speaker 1: that's number one. Number two. This is a big one
• 4:07
  Speaker 1: this week. If you're listening to this when we dropped
• 4:10
  Speaker 1: this episode, this episode is coming out October. If you're
• 4:16
  Speaker 1: listening on October two or the next couple of days afterwards,
• 4:20
  Speaker 1: I want you to know that this week is meat
• 4:22
  Speaker 1: Eaters white Tail Week. We got a whole lot of
• 4:25
  Speaker 1: exciting stuff happening when it comes to white tails at Metator.
• 4:28
  Speaker 1: One of them his first Lights white Tail Sale, all
• 4:33
  Speaker 1: of first Lights white Tail gear. Inspector is off off
• 4:39
  Speaker 1: any of that first Light white Tail stuff you might need,
• 4:41
  Speaker 1: the Catalyst, the Solitude, whatever. Check it out if you're
• 4:44
  Speaker 1: in need of some last minute stuff. Twenty off Number
• 4:48
  Speaker 1: two Phelps game Calls. It is the game call company
• 4:52
  Speaker 1: that's part of metator right. They've done duck calls, they've
• 4:55
  Speaker 1: done elk calls, they've done turkey calls. This week they're
• 4:59
  Speaker 1: launching year calls. We've got a bunch of new grunt
• 5:03
  Speaker 1: tubes Fond Distress call bleats uh I personally have really
• 5:09
  Speaker 1: been liking and using the Beta Pro and the Alpha
• 5:13
  Speaker 1: I believe in the names of these two grunt tubes.
• 5:16
  Speaker 1: I've gotten to test them so far this year. I
• 5:18
  Speaker 1: really like the sound. There's some really good things with them.
• 5:21
  Speaker 1: I'll get into more detail in these calls in the future,
• 5:23
  Speaker 1: but just a heads up. Phelps has got new grunt tubes.
• 5:25
  Speaker 1: If you need a grunt tube, this is worth checking out.
• 5:28
  Speaker 1: More to come later. If you have been thinking about
• 5:30
  Speaker 1: this kind of stuff, this is probably going to be
• 5:33
  Speaker 1: one of the best opportunities. You've got to do it
• 5:34
  Speaker 1: to get it for cheap, so heads up on those
• 5:38
  Speaker 1: type of things. There's several of the Deer's deals from
• 5:40
  Speaker 1: timber Ninja, there's discounts on our white tail logo where
• 5:44
  Speaker 1: there's uh she, some deals from f HF. There's a
• 5:47
  Speaker 1: lot going on. I don't want to drag us out anymore,
• 5:50
  Speaker 1: but Mediator Whitetail Week is going on to October six.
• 5:53
  Speaker 1: Heading over to the mediator dot com, go to the
• 5:56
  Speaker 1: Mediator store, go to first let dot com. You're gonna
• 5:58
  Speaker 1: find it all their good stuff. And that's it for me.
• 6:01
  Speaker 1: That's my only other update. We got a master class
• 6:05
  Speaker 1: to get too, folks. So enough of me jabbering on
• 6:08
  Speaker 1: h I love patterning bocks. I love this stuff. I
• 6:12
  Speaker 1: love nording out on the data on what these deer
• 6:15
  Speaker 1: we're doing and what they might do, on where I
• 6:18
  Speaker 1: should be to maybe take advantage of it. It's so
• 6:20
  Speaker 1: much fun. And Mark Jury is just one of my favorites.
• 6:23
  Speaker 1: I love this guy. I love his approach. Uh, I
• 6:28
  Speaker 1: have nothing else to say. Let's get to it. Mark
• 6:30
  Speaker 1: Jury on the podcast master Class Patterning Box one. Dud.
• 6:33
  Speaker 1: They go all right back with me. We have the
• 6:37
  Speaker 1: great privilege of having Mr Mark Drury on this show. Mark,
• 6:41
  Speaker 1: thank you for coming back on the show. It's my pleasure.
• 6:45
  Speaker 1: Thank you for having me. How are you doing this morning, Mark?
• 6:47
  Speaker 1: I'm really good. I'm really good. I fill the bucktagon
• 6:51
  Speaker 1: Michigan opening night. I went to Ohio and did some
• 6:54
  Speaker 1: scouting yesterday, so I'm I'm just basking in the glory
• 6:57
  Speaker 1: of deer season, man, pick here you in the family.
• 7:00
  Speaker 1: I mean that that really put a smile on my face.
• 7:03
  Speaker 1: And I know your smile is probably still there from
• 7:06
  Speaker 1: that moment. That was pretty awesome, dude. It was it
• 7:08
  Speaker 1: was the first time that the whole family could be
• 7:11
  Speaker 1: together for that and um my, my the first track
• 7:15
  Speaker 1: job for my youngest So I'm a two year old,
• 7:16
  Speaker 1: so so yeah, super cool. And it was funny after
• 7:19
  Speaker 1: we recovered that. Buck, We're all sitting there together, and
• 7:22
  Speaker 1: my oldest son ever, he's four, he kind of turns
• 7:25
  Speaker 1: and looks at the family and he like shouts, like
• 7:27
  Speaker 1: really loud. He says, it's our first family Buck. I
• 7:33
  Speaker 1: loved it. I just loved you. That's a true statement,
• 7:37
  Speaker 1: those bucks. You know, the family allows you the time
• 7:42
  Speaker 1: and allows you to have the passion you allow right
• 7:45
  Speaker 1: that you have. So that's a cool thing when they
• 7:47
  Speaker 1: get who you are and embrace it. Uh, it's a
• 7:50
  Speaker 1: beautiful thing. When they don't, it's it's a rough, rough
• 7:53
  Speaker 1: time for most others. Because I've known guys like that
• 7:56
  Speaker 1: and I'm sure you do too, where the bouse or
• 7:59
  Speaker 1: the children and probably maybe get a little jealous over
• 8:02
  Speaker 1: the time and the selfishness that we all have when
• 8:04
  Speaker 1: it comes to this time of the year. So you're
• 8:07
  Speaker 1: blessed to have a family that is aware of your
• 8:10
  Speaker 1: passion and embraces it. Yeah, very very very true. Uh,
• 8:14
  Speaker 1: speaking of things worth celebrating, I saw that you had
• 8:18
  Speaker 1: a pretty exciting night last night too, and probably late night.
• 8:22
  Speaker 1: So I gotta thank you again for for hopping on
• 8:25
  Speaker 1: the phone here this morning after what seemed like a
• 8:27
  Speaker 1: pretty uh eventful night. Can you uh, can you fill
• 8:31
  Speaker 1: us in on what happened? Dude? It was such a
• 8:34
  Speaker 1: cool day yesterday. I did an interview in the Blind
• 8:37
  Speaker 1: and I had intel on a really nice dear that
• 8:41
  Speaker 1: I was in on last night, Wade, which is the
• 8:44
  Speaker 1: one you're referring to. I had intel on him, and
• 8:49
  Speaker 1: Terry had intel on a giant. So all three of
• 8:51
  Speaker 1: these deer like one plus type deer, and all three
• 8:55
  Speaker 1: of them were on them. And I did this interview
• 8:58
  Speaker 1: and I told Harry, I said, I don't ever recall
• 9:00
  Speaker 1: all where we had intel and all three of us
• 9:03
  Speaker 1: are on giants the same night, And I said, I
• 9:06
  Speaker 1: feel really good. Somebody's gonna kill And I said, I
• 9:08
  Speaker 1: think it's gonna be weighed because that buck. We had
• 9:11
  Speaker 1: a self picture of his going to bed that morning
• 9:13
  Speaker 1: at eight oh nine something like that, and he was
• 9:16
  Speaker 1: he was heading south out of the field or a
• 9:18
  Speaker 1: south wind, and the access to that spot is very good.
• 9:22
  Speaker 1: In fact, I don't know if you recall the deer
• 9:25
  Speaker 1: that I killed Leicester December twentieth. We called him the
• 9:27
  Speaker 1: fork buck, and he grows a little over one ninety. Well,
• 9:31
  Speaker 1: the last time that blind was sat was that night
• 9:33
  Speaker 1: December twenty, and then last night and then Wade killed
• 9:37
  Speaker 1: eight out of it. So the hit was just a
• 9:40
  Speaker 1: little bit back but quartering away. So I got opinions
• 9:44
  Speaker 1: from tracker John and Bobby Coverts in the same two
• 9:47
  Speaker 1: guys that are in deer cast track, you know, giving
• 9:49
  Speaker 1: me advice in there on track jobs. And we waited
• 9:52
  Speaker 1: the appropriate time and then took up the trail. And
• 9:55
  Speaker 1: you're right. It was a late night. The deer travel
• 9:57
  Speaker 1: about five or six hundred yards, but we found him
• 10:00
  Speaker 1: dead in this first bed on a really good blood trail.
• 10:03
  Speaker 1: It went stomach, liver, lung, and uh, the celebration began
• 10:07
  Speaker 1: and then all the of course, all the work begins.
• 10:09
  Speaker 1: So I went to bed about about two thirty and
• 10:13
  Speaker 1: I was I still saw three o'clock UM last night,
• 10:17
  Speaker 1: and then I woke up this morning about six thirty
• 10:19
  Speaker 1: the normal times, so it was it was a sharp night.
• 10:22
  Speaker 1: But you know what, that's what, that's what we do,
• 10:25
  Speaker 1: and we love it. We live for those nights, you know,
• 10:27
  Speaker 1: we live for those because no sleep nights. You know,
• 10:30
  Speaker 1: who cares about a night where you get seven or
• 10:32
  Speaker 1: eight hours? I'll take those two our rights every time.
• 10:36
  Speaker 1: That's what. That's the good problem to have right there.
• 10:37
  Speaker 1: You you want to have reason to miss sleep this
• 10:39
  Speaker 1: time of year, big time, big time. And it was
• 10:43
  Speaker 1: Wade's biggest deer. It was a main frame eight point
• 10:46
  Speaker 1: and it had ten kickers, so it had eight team
• 10:49
  Speaker 1: total score for points. It was a six and a
• 10:51
  Speaker 1: half year old deer. And the cool thing about this deer,
• 10:54
  Speaker 1: and it really really kind of blends into what we're
• 10:57
  Speaker 1: talking about today. When this deer was four and a
• 11:00
  Speaker 1: half in two thousand and twenty, I had a few
• 11:04
  Speaker 1: pictures of him scattered throughout the fall on this tractor ground.
• 11:08
  Speaker 1: This farm is about four acres. It's right on a
• 11:11
  Speaker 1: major highway. I lose deer to the highway and um
• 11:16
  Speaker 1: I had a sprinkling of pictures, So I didn't consider
• 11:20
  Speaker 1: him like one of those dear you know how it is.
• 11:22
  Speaker 1: You could get him every day and you're like, hey,
• 11:23
  Speaker 1: it's a homeboy. And I never considered homeboy. Last year
• 11:27
  Speaker 1: and that year he was probably a hundred high thirties
• 11:31
  Speaker 1: type eight point, but he wore it well. He had
• 11:33
  Speaker 1: that white friend. Last year he was probably high forties,
• 11:37
  Speaker 1: low fifties. Had him all summer. I got one hard
• 11:41
  Speaker 1: hearted pick and he vanished, I mean gone. And all
• 11:46
  Speaker 1: year I kept waiting to get a picture of him,
• 11:48
  Speaker 1: had more cameras out, couldn't get him. And all of
• 11:51
  Speaker 1: a sudden, late December, he shows back up, and I
• 11:55
  Speaker 1: was like that son of a gun, he left the
• 11:57
  Speaker 1: entire fall, at least presumably left. I didn't have I
• 12:00
  Speaker 1: didn't have photography of him. We hunted the farm a
• 12:02
  Speaker 1: good bit that was where the four buck lived lived,
• 12:06
  Speaker 1: and I never saw the buck, never encountered him. I
• 12:09
  Speaker 1: just assumed he was dead from the highway or another hunter.
• 12:12
  Speaker 1: There's a lot of pressure around that farm. And then
• 12:14
  Speaker 1: he shows back up late December. So this summer, when
• 12:19
  Speaker 1: he showed up in Velvet, we knew he was a giant,
• 12:23
  Speaker 1: you know, right away I guess the deer in the
• 12:25
  Speaker 1: one eighties somewhere and I'm like, oh, that's that's the
• 12:28
  Speaker 1: deer that disappeared last year. And uh, you know, this
• 12:33
  Speaker 1: year he shed his velvet. I got more pictures and
• 12:35
  Speaker 1: I'm like, he's sticking around. But in my heart, I
• 12:40
  Speaker 1: was like, this year is gonna again transferred to a
• 12:44
  Speaker 1: fall range in my opinion, which I I eventually talked
• 12:48
  Speaker 1: to a gentleman that that had the buck off all
• 12:52
  Speaker 1: and they passed him, uh because because he was an
• 12:55
  Speaker 1: eight point and they were on another different target deer.
• 12:58
  Speaker 1: That farm is probably a mile all mile and a
• 13:00
  Speaker 1: half east of mind. So my assumption was he was
• 13:03
  Speaker 1: again going to switch home ranges this year or fall ranges,
• 13:07
  Speaker 1: and that's why when he stuck around, we made an
• 13:10
  Speaker 1: extra effort to get on with cell cams and and
• 13:16
  Speaker 1: the food plots that he was using went back to
• 13:19
  Speaker 1: when he was for researched where he was the most,
• 13:22
  Speaker 1: and ended up killing him in one of those two
• 13:25
  Speaker 1: fields where he was at the most what he was
• 13:27
  Speaker 1: there during this period. So it really speaks to exactly
• 13:31
  Speaker 1: what we're talking about, how patentable they can be when
• 13:36
  Speaker 1: their home range overlays from one year to the next,
• 13:40
  Speaker 1: they really do a lot of the same things. So yeah,
• 13:43
  Speaker 1: so this is a this is a great example, and
• 13:45
  Speaker 1: maybe we can kind of dial in on a few
• 13:47
  Speaker 1: things with this story. You know, the focus I really
• 13:51
  Speaker 1: am hoping to dive into is just everything on how
• 13:54
  Speaker 1: you pattern these bucks mark And the first thing I'm
• 13:56
  Speaker 1: wondering with with a buck like this or any deer,
• 14:00
  Speaker 1: when do you start the patterning process? Like when does
• 14:03
  Speaker 1: a buck show up on your radar and you say, okay,
• 14:06
  Speaker 1: this is what we have to you know, we're gonna
• 14:09
  Speaker 1: label him as X, or we're gonna create a folder,
• 14:12
  Speaker 1: or we're gonna you know, when does that start? Are
• 14:14
  Speaker 1: these two year old bucks a three year old bucks? Like?
• 14:16
  Speaker 1: When does the the file start getting developed? You know?
• 14:22
  Speaker 1: I have a lot of trail cameras, as you know,
• 14:24
  Speaker 1: and I run probably nine cells and another hundred and
• 14:30
  Speaker 1: fifty normal reconics cameras annually. Now that's across three states,
• 14:35
  Speaker 1: has crossed a lot of different farms and leases and
• 14:38
  Speaker 1: so and so forth. And I will answer that question
• 14:41
  Speaker 1: by this. I have a a file of photos that
• 14:45
  Speaker 1: starts in two thousand and seven that includes every racked
• 14:49
  Speaker 1: buck I've ever taken a photo of and every photo
• 14:52
  Speaker 1: of that rack buck from the time that they are
• 14:55
  Speaker 1: two and a half until they disappear or we kill
• 14:58
  Speaker 1: them or whatever. So I try to start putting a
• 15:01
  Speaker 1: pattern on them the moment they have a decent rap
• 15:04
  Speaker 1: and if it's a year and a half old, that
• 15:06
  Speaker 1: that shows real promise. You know, you know, I don't
• 15:08
  Speaker 1: keep spikes in four corns and six points and that stuff.
• 15:11
  Speaker 1: But if it's a year and a half, that shows
• 15:13
  Speaker 1: real promise. I keep files on them as well. So
• 15:16
  Speaker 1: you know, my my entire fall is just swallowed up
• 15:19
  Speaker 1: looking at photography. I don't know how many pictures I'm
• 15:23
  Speaker 1: at now. I mean, I used to always feel like
• 15:25
  Speaker 1: I was at a million, but I'll bet you i'm
• 15:27
  Speaker 1: one point five to two million photos annually. Of that,
• 15:30
  Speaker 1: I'll keep maybe a hunter thousand. And I've got those
• 15:35
  Speaker 1: all stored in in my computer and in hard drives
• 15:38
  Speaker 1: from OS seven through present day. Oh that's a lot
• 15:43
  Speaker 1: I've got. I've got like nine different directions we could
• 15:46
  Speaker 1: go with this, and I'm not sure where where I
• 15:49
  Speaker 1: want to. I'm like, I'm like the child that's addicted
• 15:55
  Speaker 1: to candy that goes to Willy Wonka's candy shop, you know,
• 15:59
  Speaker 1: and just sees every thing all around him that he
• 16:01
  Speaker 1: wants to that he wants to have. I wanted this
• 16:03
  Speaker 1: is like the thing I nerd out about the most too,
• 16:06
  Speaker 1: So I guess, I guess let's just jump into something
• 16:09
  Speaker 1: you just said right there, which was you have a
• 16:12
  Speaker 1: hundred thousand pictures that you might be keeping, and you
• 16:15
  Speaker 1: are keeping photos of bucks from the time they're noticeably
• 16:19
  Speaker 1: you know, unique, So maybe oftentimes that's two and a
• 16:21
  Speaker 1: half years old. When you get a deer like this
• 16:24
  Speaker 1: one that Wade was on, and you realize, okay, this
• 16:27
  Speaker 1: was a buck that you know, we noticed last year,
• 16:30
  Speaker 1: we passed him. Now this year he's back and he's
• 16:33
  Speaker 1: he's definitely want to shoot. How do you go about
• 16:38
  Speaker 1: sorting through everything you had, Like, how do you make
• 16:41
  Speaker 1: how do you find all the past pictures of his?
• 16:43
  Speaker 1: How do you have it organized so you can then see, Okay,
• 16:46
  Speaker 1: here's all the photos of this buck. Here's the way
• 16:49
  Speaker 1: I'm going to think through pictures from last year versus
• 16:52
  Speaker 1: this year. How are you able to find it, compile
• 16:57
  Speaker 1: it in a way you can actually analyze and then
• 16:59
  Speaker 1: make the scissions from Given the fact that you have
• 17:01
  Speaker 1: just so much out there already to sort through. I
• 17:05
  Speaker 1: guess my big big questions, how do you sort through
• 17:07
  Speaker 1: and find the most important pieces within a haypile. It's
• 17:12
  Speaker 1: it's it is a haypop because it's a time consuming
• 17:15
  Speaker 1: deal to go through and and and find him again.
• 17:18
  Speaker 1: Because I have in Iowa, I probably have you know,
• 17:23
  Speaker 1: fifty different locations within reconics buckfew. And that's the program
• 17:27
  Speaker 1: I've used in so seven and it it has served
• 17:30
  Speaker 1: me quite well. Um, and you know, so I will
• 17:33
  Speaker 1: I would designate a farm, call it the the this farm,
• 17:38
  Speaker 1: for instance, call it the two seven, all right, because
• 17:41
  Speaker 1: this track was two fifty seven. I eventually I bought it,
• 17:45
  Speaker 1: uh and attached it to a one sixties that I owned,
• 17:48
  Speaker 1: So now it's four seventeen. But this particular pieces two
• 17:51
  Speaker 1: seven acres, So I have it in there as the
• 17:52
  Speaker 1: two seven. I have a long bottom file. I have
• 17:57
  Speaker 1: to fifty seven ridge. I've got every different can camera
• 18:00
  Speaker 1: on that farm label accordingly. And then as I look
• 18:05
  Speaker 1: at the cards and as I look at the pictures,
• 18:07
  Speaker 1: I am shuffling them into all those different files so
• 18:11
  Speaker 1: I can go back, you know, to thirteen, fourteen, fifteen
• 18:14
  Speaker 1: whatever year it is, and and look at that particular
• 18:19
  Speaker 1: camera area and see how the how the deer deer moved,
• 18:23
  Speaker 1: and then I can start finding that buck once he
• 18:26
  Speaker 1: appeared within that farm and find out what days he
• 18:30
  Speaker 1: daylight and when he was there, so and so forth.
• 18:33
  Speaker 1: So I don't then peel him out and create a
• 18:36
  Speaker 1: following him. Sometimes I do, but that's not the file
• 18:40
  Speaker 1: I'm looking at. I'm looking at all the other aspects
• 18:43
  Speaker 1: that might affect a deer's movement during daylight, So I'm
• 18:48
  Speaker 1: looking for other deer um. I have notes within deer
• 18:52
  Speaker 1: cast our app as to what the uh crop rotation
• 18:57
  Speaker 1: was on that field or in that area, not only
• 19:00
  Speaker 1: on my farm, but on the outlying farms. I have
• 19:05
  Speaker 1: files of the weather data from those years, so that
• 19:09
  Speaker 1: if I find a daylight picture, call it when he
• 19:13
  Speaker 1: was four and a half years old and two thousand
• 19:15
  Speaker 1: and twenty, and I find two or three in a row,
• 19:18
  Speaker 1: I can go back and research what was the weather like,
• 19:22
  Speaker 1: what was the food like, what was the mass crop like,
• 19:25
  Speaker 1: what was the rainfall like, and then start to put
• 19:28
  Speaker 1: together why he did what he did. So it's it's
• 19:32
  Speaker 1: data at a fairly high level, but that's how we're
• 19:35
  Speaker 1: killing them. And I do these deep guys. When we
• 19:38
  Speaker 1: get a target buck, I go backwards in my file.
• 19:40
  Speaker 1: So that's why it's important that I keep every single
• 19:44
  Speaker 1: rack Buck photo because you're building that buck's history and
• 19:48
  Speaker 1: that buck's life. And then when he if he stays
• 19:51
  Speaker 1: around and if he gets the five or six, and
• 19:53
  Speaker 1: if he becomes a target, which by and large most
• 19:57
  Speaker 1: do not. They fall off the map at age three
• 20:00
  Speaker 1: h four eag. You know, through time, you lose a
• 20:03
  Speaker 1: lot or they they're there here today, gone tomorrow. They're
• 20:06
  Speaker 1: on a walk about outside of their home range. You
• 20:08
  Speaker 1: get pictures and I keep them just in case they
• 20:11
  Speaker 1: walk about again. But a deer that is a semi
• 20:13
  Speaker 1: homeboy like this, I had some pretty good data points
• 20:16
  Speaker 1: that I could go back on and and and figure
• 20:19
  Speaker 1: him out. So and he really wasn't that hard to
• 20:22
  Speaker 1: figure out because he was so so confined. Two spots
• 20:27
  Speaker 1: that were in both years, uh we're bean fields. Actually
• 20:34
  Speaker 1: in two thousand and twenty, he who was on a
• 20:36
  Speaker 1: bean field that I did a green to green transfer,
• 20:39
  Speaker 1: and then he did it again this year and that's
• 20:41
  Speaker 1: where he killed him. The other field where Wade and
• 20:44
  Speaker 1: counteredy mat the end of the night, which is only
• 20:45
  Speaker 1: about two yards from where he killed him, is a
• 20:48
  Speaker 1: big ridge field that they love to go bed on
• 20:50
  Speaker 1: this north face on hot days. That's the other thing
• 20:53
  Speaker 1: I learned about the farm. And then this bug. And
• 20:56
  Speaker 1: right below that there was a big giant bean field
• 20:59
  Speaker 1: and twenty and its beans again this year, so you know,
• 21:02
  Speaker 1: perhaps the crop rotation had something to do. And it
• 21:04
  Speaker 1: was also a good acrn near in twenty and two.
• 21:07
  Speaker 1: So all of those things come into play um when
• 21:10
  Speaker 1: it when it comes time to kill a deer, So
• 21:13
  Speaker 1: it's not about the deer always, it's also about the
• 21:17
  Speaker 1: environment and that's one of the reasons we did the
• 21:20
  Speaker 1: things we did within deer cast. You know, we we've
• 21:23
  Speaker 1: always had the predictive bottle. We extended that to fourteen
• 21:26
  Speaker 1: days this year. But this year we came up with
• 21:28
  Speaker 1: our mapping solutions. Well within that, we have the wind,
• 21:32
  Speaker 1: and we have mass crop, and we have overall rain
• 21:35
  Speaker 1: with our rain stations, all the things that people really
• 21:39
  Speaker 1: need to focus in on, I think to help them
• 21:42
  Speaker 1: take their game to the next level. So you know,
• 21:44
  Speaker 1: there's there's better mapping solutions out there. In my opinion,
• 21:47
  Speaker 1: I think there's absolute better mass. But I don't think
• 21:50
  Speaker 1: there's any out there with better tools to help you
• 21:52
  Speaker 1: kill a white tail than than what deer cast is.
• 21:54
  Speaker 1: We stayed in our lane and focus directly on the
• 21:57
  Speaker 1: white tail deer and the hunter and the armor that
• 22:00
  Speaker 1: they lived in. Yeah, that's some pretty cool stuff. I
• 22:02
  Speaker 1: love that rain gage feature. That is that one just
• 22:06
  Speaker 1: jumped out to me as gosh, I would die to
• 22:08
  Speaker 1: have that kind of information for over over the years
• 22:10
  Speaker 1: of food plots and whatnot, exactly like it's it's so
• 22:14
  Speaker 1: important to not only like our success. Like okay, basics.
• 22:20
  Speaker 1: I put the sea in the ground, I don't get rain,
• 22:22
  Speaker 1: it doesn't grow. I put the seed in the ground,
• 22:24
  Speaker 1: I get two tents of inch of rain. The seed swells,
• 22:27
  Speaker 1: it doesn't grow. I get a two inch rain. Holy cow,
• 22:31
  Speaker 1: I've got the best looking food plot I've ever had.
• 22:33
  Speaker 1: So that in it's the way we look at it,
• 22:36
  Speaker 1: you know, on the surfaces, like that's important to my success. Well,
• 22:40
  Speaker 1: what happened in April, May and June that this deer
• 22:45
  Speaker 1: grew forty five inches versus the last two years when
• 22:49
  Speaker 1: he was a one forty one fifty and all of
• 22:51
  Speaker 1: a sudden this year he's you know, well, guess what,
• 22:55
  Speaker 1: we had a wet spring. What happened five years ago?
• 22:58
  Speaker 1: We had a wet spring, and when he was a fawn,
• 23:02
  Speaker 1: he was off to a good start because we had
• 23:03
  Speaker 1: a tremendous acorn crop that year. So rainfall is so
• 23:07
  Speaker 1: important to the overall health of the herd. You know
• 23:09
  Speaker 1: what happens when we don't get the right amount of
• 23:12
  Speaker 1: rainfall here at the right times of the year, All
• 23:14
  Speaker 1: of a sudden you have the h D and that
• 23:16
  Speaker 1: affects overall daylight pictures and overall daylight movement. So I
• 23:20
  Speaker 1: think outside of just the um, the trail photos that
• 23:24
  Speaker 1: you keep, the notes you keep about your environment also
• 23:28
  Speaker 1: help you put patterns together through the decades because as
• 23:33
  Speaker 1: things occur. Now, Terry and I have been hunting long enough.
• 23:35
  Speaker 1: I'm fifty five. I started hunting when I was fifteen.
• 23:39
  Speaker 1: Terry sixty five. Well, we've seen many falls come and go.
• 23:43
  Speaker 1: We've seen great acorn crops, we've seen terrible ones. We've
• 23:46
  Speaker 1: seen crops fail, we've seen them succeed to the point
• 23:50
  Speaker 1: that they're two hundred bushel corn and you know, seventy
• 23:53
  Speaker 1: bushel beams. We've you know, we've seen it all before,
• 23:56
  Speaker 1: so therefore when it repeats, we have a better understanding
• 24:00
  Speaker 1: how to succeed. And and a lot of this is
• 24:02
  Speaker 1: mental notes, but a lot of it is written notes
• 24:05
  Speaker 1: and stuff that I've I've journaled through the years about
• 24:08
  Speaker 1: what happened when the weather was like this, and that's
• 24:11
  Speaker 1: how we came up with the algorithm for deercast. So
• 24:14
  Speaker 1: it's just really paying attention to every detail. But it's
• 24:17
  Speaker 1: gonna be a time stuck for you if you want
• 24:18
  Speaker 1: to take it to that level, like it's it's almost
• 24:21
  Speaker 1: seven throughout the entire fall to really hone in on
• 24:24
  Speaker 1: all these different things I'm talking about, because the environment
• 24:27
  Speaker 1: and the food sources are just as important to the
• 24:30
  Speaker 1: deer ultimately his health and how he's going to move,
• 24:35
  Speaker 1: you know, daylight versus nighttime that year, there's a lot
• 24:37
  Speaker 1: of different factors that to plug in on. Yeah, you
• 24:41
  Speaker 1: really gotta love it. I was for now, I don't
• 24:45
  Speaker 1: know what's two nights before opening day here in Michigan.
• 24:47
  Speaker 1: I was sitting at like eleven o'clock at night at
• 24:49
  Speaker 1: my computer, had both monitors up, and I had a
• 24:52
  Speaker 1: spreadsheet with all of my daylight trail camera photos of
• 24:56
  Speaker 1: my main target buck and all the different weather factors, YadA, YadA, YadA,
• 25:00
  Speaker 1: all the different data points there that I had a
• 25:02
  Speaker 1: note document open where I had listed out everything this
• 25:05
  Speaker 1: buck had done in within like a ten day window
• 25:09
  Speaker 1: of opening day. And then I had everything he'd done
• 25:11
  Speaker 1: this year so far for the last three weeks, and
• 25:14
  Speaker 1: then I had notes on the two locations I was
• 25:17
  Speaker 1: considering and what other deer had been in there last
• 25:20
  Speaker 1: year and this year. And was looking at all this
• 25:21
  Speaker 1: stuff and I'm having the time of my life. And
• 25:23
  Speaker 1: I texted some of my buddies in my group chat
• 25:26
  Speaker 1: and they're like, oh my god, that looks miserable. You're
• 25:28
  Speaker 1: a nut job. And in my head, I thought, this
• 25:30
  Speaker 1: is the best part of it. This is the best
• 25:33
  Speaker 1: You really got to love that. I agree. I love data,
• 25:36
  Speaker 1: you know, and I love stats, you know, and it's
• 25:39
  Speaker 1: it's pretty cool because they are potable, but you've got
• 25:43
  Speaker 1: to have the pieces of the pie to pattern them. Yeah.
• 25:46
  Speaker 1: So you mentioned, you know, keeping track of the environmental
• 25:49
  Speaker 1: factors and all the other things outside of just pictures.
• 25:52
  Speaker 1: And this is one thing that I have struggled with
• 25:55
  Speaker 1: actually over the years and not done a good enough
• 25:58
  Speaker 1: job of that. Is like keeping track of all of
• 26:00
  Speaker 1: those outside things. Um, I've I've started and stopped multiple
• 26:06
  Speaker 1: hunting journals where I'm every year I'm like, okay, I'm
• 26:08
  Speaker 1: gonna keep track of everything. And I do it for
• 26:10
  Speaker 1: a few days or a few weeks, and then I
• 26:12
  Speaker 1: lose I lose it. Uh what does that look like
• 26:16
  Speaker 1: for you? Do you keep a consistent journal? Do you,
• 26:20
  Speaker 1: you know, do track stuff just during the hunting season
• 26:22
  Speaker 1: or are you writing something down online or in a
• 26:25
  Speaker 1: book or you know, how do you personally do that?
• 26:29
  Speaker 1: I keep a lot of notes within deercast because we
• 26:31
  Speaker 1: allow for it, you know, within the different way points
• 26:34
  Speaker 1: and whatnot. But a lot of it is honestly in
• 26:37
  Speaker 1: my mind. Like I don't know. I think I was
• 26:39
  Speaker 1: lucky that I have a mind that Like I think
• 26:42
  Speaker 1: it's because I'm so hyper focused on killing them, Like
• 26:45
  Speaker 1: I know how important it is, so therefore I remember it,
• 26:48
  Speaker 1: if that makes sense. Like I can't remember. My wife
• 26:52
  Speaker 1: can bring up ten subjects in a row and I'll
• 26:54
  Speaker 1: have barely a memory of any of them. But when
• 26:58
  Speaker 1: it comes but it comes to a d R the
• 27:01
  Speaker 1: barametric pressure, the wind speed, the wind direction, I mean,
• 27:04
  Speaker 1: there's not a deer I've ever killed that. I couldn't
• 27:06
  Speaker 1: spit it out if you ask me, you know, I mean,
• 27:08
  Speaker 1: I just I've been very lucky to have it. And again,
• 27:11
  Speaker 1: I think that's probably a selfishness on my part because
• 27:14
  Speaker 1: I'm so obsessed with them. Uh, you know, so a
• 27:18
  Speaker 1: lot of it is just memory. Now, yeah, I can't,
• 27:22
  Speaker 1: I can't say I have that same memory. So jealous
• 27:25
  Speaker 1: of that, I've got to figure out a better way
• 27:27
  Speaker 1: to lock the stuff down on paper. Um, we'll see
• 27:30
  Speaker 1: if this is the year I can finally do a
• 27:31
  Speaker 1: better job of it. Here. Here's something I'm curious about,
• 27:36
  Speaker 1: historical weather data. Right, that's something that, of course you've
• 27:40
  Speaker 1: mentioned as being something you'd like to take a look
• 27:43
  Speaker 1: at and see, you know, how it correlates with daylight
• 27:45
  Speaker 1: pictures in the past or daylight observations. This is a
• 27:49
  Speaker 1: two part question, and one part maybe you don't want
• 27:51
  Speaker 1: to answer, and if you don't want to answer, you
• 27:52
  Speaker 1: don't need to. Second part you can tell me. But
• 27:55
  Speaker 1: part A is can we get historical other data in
• 28:00
  Speaker 1: deer cast someday? Because I would love it if I
• 28:03
  Speaker 1: could see that right in my dear cast app firsts
• 28:06
  Speaker 1: having to go to a different website. That's part day,
• 28:08
  Speaker 1: and then part two is where do you personally go
• 28:10
  Speaker 1: to get your historical weather data. I've created my own okay,
• 28:15
  Speaker 1: so two answers. Deer Cast looks at the future and
• 28:20
  Speaker 1: the past. Okay, So on a on a daily basis,
• 28:24
  Speaker 1: if it's giving you a prediction, it's looking backwards and
• 28:27
  Speaker 1: it's looking forward. So say you wanted to rewind the
• 28:31
  Speaker 1: clock five years, it would have to look backwards several
• 28:36
  Speaker 1: days and look forward several days to recreate the prediction
• 28:41
  Speaker 1: for that day. That was an algorithm and the cost
• 28:44
  Speaker 1: of an API that was cost prohibitive by not by
• 28:47
  Speaker 1: a little, but by a lot, like put puts got
• 28:51
  Speaker 1: a business, you know, when we asked the question, can
• 28:53
  Speaker 1: we do this because we have an ap I like
• 28:56
  Speaker 1: weather is for the most part, a predictive model in
• 28:59
  Speaker 1: an itself. So the API comes in, we pipe that
• 29:03
  Speaker 1: into our algorithm and it all works right because it's
• 29:06
  Speaker 1: all recent, it's all right there in their computers to
• 29:09
  Speaker 1: go back and dig it up. Was they're They're like, well,
• 29:12
  Speaker 1: no one's ever asked for that before, you know, and
• 29:14
  Speaker 1: and other words, it was impossible and the quote was
• 29:18
  Speaker 1: cost prohibitive. So I do it myself. I screenshot my
• 29:21
  Speaker 1: dear cast every day and I keep a file and
• 29:23
  Speaker 1: I have since it came out, so I've got every
• 29:25
  Speaker 1: day's weather data for where I hunt since the start
• 29:28
  Speaker 1: of it. So that's the best way to do it, Okay, Well,
• 29:34
  Speaker 1: I uh, because then it's is all there. If you
• 29:38
  Speaker 1: look at our screen, everything you want to know is
• 29:40
  Speaker 1: all on on that hourly forecast. Put it at you know, noon,
• 29:44
  Speaker 1: or put it at eight am or six pm, and
• 29:47
  Speaker 1: screenshot it, and you've got every single readout you want.
• 29:51
  Speaker 1: But going back and doing it is just absolutely cost prohibitive. Yeah,
• 29:55
  Speaker 1: I can see that. Uh, well, I can dream, I guess,
• 30:00
  Speaker 1: and it's cost prohibitive because of how many days equal
• 30:04
  Speaker 1: into the prediction for that moment. Right, We're giving you
• 30:07
  Speaker 1: an hour by our forecast, but in reality, it's looking
• 30:10
  Speaker 1: forward and looking backwards to give you that hour, and
• 30:12
  Speaker 1: then if you wanted to rewind the clock five years,
• 30:14
  Speaker 1: it's it's almost it's so tangled up you can't do it. Yeah,
• 30:18
  Speaker 1: that's a doozy. Well back to back to pictures then, Um,
• 30:23
  Speaker 1: one of the things I don't want to spend a
• 30:25
  Speaker 1: ton of time on, but I do want to just
• 30:27
  Speaker 1: run by you real quick. We've had previous conversations over
• 30:30
  Speaker 1: the years about how you use trail cameras, how you
• 30:32
  Speaker 1: place them, Um, you know, when you're checking them, when
• 30:36
  Speaker 1: they're when you're moving them, stuff like that. But when
• 30:38
  Speaker 1: it comes specifically to patterning bucks, like not just getting
• 30:41
  Speaker 1: a basic inventory in the summer, uh, not just trying
• 30:44
  Speaker 1: to get you know, what's around, but when you are
• 30:47
  Speaker 1: actively trying to pattern a specific buck like this deer
• 30:51
  Speaker 1: for example, that way just killed when he showed back
• 30:53
  Speaker 1: up and you realized, oh wow, we've got a chance
• 30:55
  Speaker 1: of this dear, but we gotta figure him out asap
• 30:57
  Speaker 1: before he disappears. How does your camera placement change, if
• 31:02
  Speaker 1: at all, in that kind of situation when you're like,
• 31:04
  Speaker 1: we need to learn this deer and put together a pattern. Now,
• 31:08
  Speaker 1: just do things change or do you always have your
• 31:10
  Speaker 1: cameras in the same places and they just stay there.
• 31:13
  Speaker 1: They are historical cameras everywhere that stay there, that are
• 31:16
  Speaker 1: on great travel routes or hubscrapes or places. You know,
• 31:20
  Speaker 1: when you watch a farm or watch a field and
• 31:23
  Speaker 1: you're hunting it, you go, I need a camera right there,
• 31:25
  Speaker 1: and then it always produces for you you know, and
• 31:27
  Speaker 1: you watch a certain food plot and that's got the movement.
• 31:31
  Speaker 1: The rest of the plot's got twenty right, so you know,
• 31:33
  Speaker 1: but then when we find a target, then we might
• 31:36
  Speaker 1: go from three broad looking cameras in that area to ten.
• 31:42
  Speaker 1: I call it the blitz creeg with with cams. So
• 31:45
  Speaker 1: you know you're going you're trying to win the war, right,
• 31:48
  Speaker 1: everybody knows from history that the term blitz grieg. Well,
• 31:51
  Speaker 1: you're going there. You gotta be wise about it. You
• 31:52
  Speaker 1: can't run him out of there. Got to be smart
• 31:55
  Speaker 1: and get as much intel as you can. And you know,
• 31:58
  Speaker 1: you know, six seven years ago, before the advent of
• 32:00
  Speaker 1: the cell cams, you didn't have real time information. Now
• 32:02
  Speaker 1: you do. So my my methods have changed from strictly
• 32:08
  Speaker 1: looking at historical patterns and trying to predict the future
• 32:12
  Speaker 1: to that coupled with real time in the now um
• 32:16
  Speaker 1: information through cell cams, and it's uh. I can tell
• 32:20
  Speaker 1: you those subcams are are a deadly deadly tool. When
• 32:23
  Speaker 1: coupled with historical infusion from a file that you've you've
• 32:27
  Speaker 1: kept on a deer, it is a one to punch
• 32:29
  Speaker 1: that is unbeatable for mature bucks, particularly particularly in phases
• 32:34
  Speaker 1: like this one on on Greener Pastors were in phase
• 32:36
  Speaker 1: two from our show start team, and they're just not
• 32:39
  Speaker 1: moving very far. If you put a buck to bed
• 32:42
  Speaker 1: and you've got a decent deercast prediction that afternoon, chances
• 32:45
  Speaker 1: are you going to see when you do this blitz
• 32:48
  Speaker 1: creek and you go and you increase the concentration of cameras.
• 32:53
  Speaker 1: What are what are the kinds of places you're going
• 32:55
  Speaker 1: to place those extra cameras, and how are you doing
• 32:57
  Speaker 1: it so that you don't mess up you know, your
• 33:01
  Speaker 1: chances of still seeing him. What's what's the best way
• 33:03
  Speaker 1: to do that in a low impact way where you
• 33:05
  Speaker 1: get enough information that's relevant but not so much so
• 33:10
  Speaker 1: that you never see him again. It changes throughout the year.
• 33:15
  Speaker 1: This time of the year, they're not moving very far
• 33:17
  Speaker 1: because they're on food source. They haven't started expanding their
• 33:20
  Speaker 1: home range hardly at all. And I'm on entry and
• 33:23
  Speaker 1: exit trails in and around a food source that I'm
• 33:25
  Speaker 1: trying to take the deer, or I'm on an acorn
• 33:28
  Speaker 1: flat that has a bunch of you know, acorns falling,
• 33:31
  Speaker 1: and I'm trying to figure out where he's coming from,
• 33:33
  Speaker 1: where he's been, and I probably have an idea based
• 33:36
  Speaker 1: on historical you know, hunting of the farm, and I'm
• 33:39
  Speaker 1: I'm trying to kill him in and around that food
• 33:42
  Speaker 1: source of an afternoon, unless by chance I get a
• 33:46
  Speaker 1: strong north wind, then I'll try him of the morning.
• 33:48
  Speaker 1: First north is always gold, and we've talked about that
• 33:51
  Speaker 1: before on your podcast. I love the first morning the
• 33:54
  Speaker 1: winds out of the north Tomorrow morning? Is that for
• 33:56
  Speaker 1: us here? So, um, if we don't have too many
• 33:59
  Speaker 1: cocktails when Matt us here tonight, we might have to mark.
• 34:01
  Speaker 1: If not that we'll be out there tomorrow afternoon. But um,
• 34:05
  Speaker 1: I love that. Now that will change as you get
• 34:08
  Speaker 1: into late October. Then I'm I'm on scrapes, man. I've
• 34:11
  Speaker 1: got every scrape covered that I can find in what
• 34:15
  Speaker 1: I anticipate to be his home core. And then suddenly,
• 34:19
  Speaker 1: instead of the blitz Creek being very concentrated on a
• 34:22
  Speaker 1: small area, it expands as I anticipate the home range
• 34:27
  Speaker 1: is going to expand. In other words, Wade's deer was
• 34:30
  Speaker 1: fairly fairly consistent two hundred yards apart two major fields.
• 34:34
  Speaker 1: He was daylighting on both of them in the evenings.
• 34:36
  Speaker 1: Very rare for a six and af year old deer
• 34:38
  Speaker 1: to do. But you get into late October, all of
• 34:42
  Speaker 1: a sudden, home range is gonna expand, and you've got
• 34:45
  Speaker 1: to have a lot more scrapes covered to figure out
• 34:47
  Speaker 1: where he's gonna because that's what he's hitting at that time.
• 34:50
  Speaker 1: Right now, he's hitting food source. Late October, early November,
• 34:53
  Speaker 1: he's hitting scrapes. Get back through the rut, then I'm
• 34:57
  Speaker 1: on just where the heck is he gonna be at
• 35:00
  Speaker 1: a lot of randomness, so I'm on trails oftentimes then
• 35:03
  Speaker 1: and then late November I'm back into scrapes and food sources.
• 35:06
  Speaker 1: So you know, as we transition through the season, these
• 35:09
  Speaker 1: light switch events that we talked about in thirteen and
• 35:11
  Speaker 1: in Deer Season twenty two, then you know you can
• 35:15
  Speaker 1: you can adjust your tactics and all of this is
• 35:17
  Speaker 1: laid out in Deercast, like we talked, we break these
• 35:19
  Speaker 1: phases down, um, you know, as as deeply as we
• 35:23
  Speaker 1: can to help people understand what the deer doing at
• 35:25
  Speaker 1: different times of the year. Well, if you adjust your
• 35:28
  Speaker 1: camera strategy to what they're doing, you're gonna be so
• 35:31
  Speaker 1: much more effective. If you find a target buck, put
• 35:33
  Speaker 1: a lot of cameras on him, you're gonna up your
• 35:35
  Speaker 1: eyes for killing definitely seeing possibly killing him. Where does
• 35:41
  Speaker 1: where does glassing or observation fit into your data kind
• 35:46
  Speaker 1: of mix these days? Is that something you do much
• 35:49
  Speaker 1: still or with the advent of sell Kam's, do not
• 35:52
  Speaker 1: need to do that as much? I still do a
• 35:54
  Speaker 1: lot of it, a lot because a camera only shows
• 35:57
  Speaker 1: you one little spot right like they tell you a lot.
• 36:01
  Speaker 1: But they also don't tell you a lot if you will.
• 36:04
  Speaker 1: And that gets especially true in terrain and country that
• 36:11
  Speaker 1: is more difficult to anticipate and interpret. In other words,
• 36:15
  Speaker 1: like big open country throws hunters for a curve because
• 36:20
  Speaker 1: there they can be anywhere everywhere. You know tall grass,
• 36:24
  Speaker 1: big swampy areas that's all the same, all flat river bottoms,
• 36:28
  Speaker 1: big crp expanses, big tillable, those types of examples where
• 36:32
  Speaker 1: the it's really really big cover, they oftentimes are much
• 36:38
  Speaker 1: more random within and they're far much more difficult to pattern.
• 36:42
  Speaker 1: Contrast that with where we were last night, brushy, brushy,
• 36:47
  Speaker 1: heavy security cover, food right next to it. He's not
• 36:50
  Speaker 1: moving very far, he's got bet, he's got food, he's
• 36:52
  Speaker 1: got water. When that gets big, it's much more difficult
• 36:56
  Speaker 1: to pattern them. So I spread out and I watched that. Oftentimes,
• 37:00
  Speaker 1: as opposed to depend on cell cams, sometimes cell cams
• 37:04
  Speaker 1: or cameras in general will almost lock you into a
• 37:09
  Speaker 1: pattern and handcuff you or put you in a straight
• 37:11
  Speaker 1: jacket to where you can't make a good decision. And
• 37:14
  Speaker 1: sometimes you've got to get back out there, put eyes
• 37:16
  Speaker 1: on the ground, boots on the ground, and figured out
• 37:18
  Speaker 1: that way. So it really depends on the environment that
• 37:20
  Speaker 1: I'm dealing with. Yeah, and like when would you do
• 37:23
  Speaker 1: that kind of thing? Is that like, let's say you're
• 37:25
  Speaker 1: an environment or situation where you realize that I need
• 37:28
  Speaker 1: this additional intel, I need to go out and watch.
• 37:31
  Speaker 1: Are you just doing that on the nights and the
• 37:33
  Speaker 1: conditions aren't right to actually go in for a strike
• 37:35
  Speaker 1: and for a kill And you're like, well, there's not
• 37:37
  Speaker 1: a great opportunity to kill something right now, so I'm
• 37:39
  Speaker 1: going to sit back and watch. Or are you doing
• 37:42
  Speaker 1: this every morning in October when you're not hunting? Or
• 37:45
  Speaker 1: what does that actually look like? You hit two nails
• 37:48
  Speaker 1: on the head. Both of those examples are exactly when
• 37:50
  Speaker 1: I do it, and then I do it when the
• 37:55
  Speaker 1: camera reports and the cell cams have me scratching my head.
• 37:59
  Speaker 1: In other words, is like this buck was here last year,
• 38:03
  Speaker 1: but I'm not getting him this year. Did he switch
• 38:06
  Speaker 1: to one part of the field, you know as buck's age.
• 38:08
  Speaker 1: That's another part of the equation and another part of
• 38:11
  Speaker 1: of pattering a deer. What they do at age three
• 38:15
  Speaker 1: varies differently from four or five, and then when they
• 38:18
  Speaker 1: get to six or seven, suddenly things start to shrink.
• 38:21
  Speaker 1: If you took a circle, and it would be very
• 38:24
  Speaker 1: large at age three, it's slowly but truly shrinks. As
• 38:27
  Speaker 1: a deer age is you get into six, seven or eight,
• 38:29
  Speaker 1: if you could find where he's at, you could kill
• 38:31
  Speaker 1: it because he's not moving very far. They get slow.
• 38:33
  Speaker 1: Their metabolism slows way down. They get almost a little
• 38:36
  Speaker 1: bit lazy. I oftentimes use an analogy of an older
• 38:40
  Speaker 1: pet and older dog as you watch them age through life.
• 38:44
  Speaker 1: Take a cat, you know that's you know, age one
• 38:47
  Speaker 1: or two. That thing's bouncing off the walls half today.
• 38:50
  Speaker 1: You know, by this time that's ten or twelve, it's
• 38:53
  Speaker 1: laying around, sleeping all day. And dogs are are very
• 38:56
  Speaker 1: much the same. Puppy versus you know a dog that's ten,
• 38:59
  Speaker 1: eleven or two, well and deer are this exact same way,
• 39:03
  Speaker 1: So you have to always keep in mind what age
• 39:05
  Speaker 1: is he and water His mannerism is gonna be like,
• 39:08
  Speaker 1: and am I off of him just a little bit?
• 39:11
  Speaker 1: Is he here but my cameras aren't seeing him? I
• 39:13
  Speaker 1: need to go watch from afar if it's possible, and
• 39:17
  Speaker 1: perhaps try to find him, and that that has worked
• 39:19
  Speaker 1: many times for me. So it's it really comes down
• 39:22
  Speaker 1: to the environment and the age of the deer now
• 39:25
  Speaker 1: and and the weather right like we're in this terrible
• 39:29
  Speaker 1: pattern two years in a row of these every day
• 39:32
  Speaker 1: it's ten degrees above normal temperatures. I don't know if
• 39:34
  Speaker 1: it's like that three oup in Michigan, but it has
• 39:36
  Speaker 1: been for us here. And it's like the Law Ninia
• 39:39
  Speaker 1: force that's out in the Pacific has set a new
• 39:42
  Speaker 1: normal to the to the deer movement. What used to
• 39:45
  Speaker 1: be a poor on deer cast is now really and
• 39:47
  Speaker 1: okay because the deer have adjusted to these warmer temperatures.
• 39:51
  Speaker 1: That's gonna switch in March or April when it turns
• 39:53
  Speaker 1: over to to an l Nno. But the Law Union
• 39:56
  Speaker 1: has really smoked us here in the Midwest, both in
• 39:59
  Speaker 1: overall rainfall an overall average temperature the last couple of seasons.
• 40:02
  Speaker 1: And we've gone through these before, um you know, in
• 40:05
  Speaker 1: years past, so we kind of know how to adjust
• 40:07
  Speaker 1: to it. I don't have you been above norm there
• 40:09
  Speaker 1: where you live. It's been pretty warm throughout the summer. Yeah,
• 40:12
  Speaker 1: we're in a little bit of a better place the
• 40:15
  Speaker 1: last like seven eight, nine, ten days. It's finally can't
• 40:19
  Speaker 1: drop down. Finally got two normal, right exactly, So now
• 40:24
  Speaker 1: normal is the new coal front. It hasn't get for
• 40:26
  Speaker 1: the last seasons. It's it's crazy. And that's all through
• 40:29
  Speaker 1: that Londini's effect on us out there in the Pacific.
• 40:32
  Speaker 1: It's it has a huge effect on overall environment rainfall
• 40:37
  Speaker 1: and thus, dear moment. That's interesting, this this situation in
• 40:55
  Speaker 1: which we realize that we need to get more intel
• 40:58
  Speaker 1: and we need to go out and actually watch. The
• 41:01
  Speaker 1: perfect situation, I think is is where you can drive
• 41:05
  Speaker 1: to somewhere and sit in your truck and glass from
• 41:07
  Speaker 1: a hill, let's say, a super safe, great view. You've
• 41:10
  Speaker 1: got an opening you can looking down down into. That
• 41:13
  Speaker 1: sounds easy, like that's an easy option. But what about
• 41:16
  Speaker 1: a situation where you don't have that hill that you
• 41:19
  Speaker 1: can safely get up on top of and you if
• 41:22
  Speaker 1: you wanted to learn more about what this deer is
• 41:24
  Speaker 1: is doing, you would have to get in there and
• 41:27
  Speaker 1: climb up into a tree or something. Do you ever
• 41:29
  Speaker 1: do that kind of thing anymore, like an actual observation
• 41:32
  Speaker 1: sit And if so, how do you do that in
• 41:35
  Speaker 1: a way that you feel confident you can get the
• 41:37
  Speaker 1: intel you need without damaging things? Is that you know?
• 41:41
  Speaker 1: What's your thoughts on that? I actually absolutely do it,
• 41:45
  Speaker 1: and um I did it on the nine of October two.
• 41:48
  Speaker 1: I was sharing that story with you before we started recording.
• 41:51
  Speaker 1: There was a buck that I had pictures of them
• 41:53
  Speaker 1: in brand new spot, and you know, I went in there.
• 41:57
  Speaker 1: We have a blind kind of set up where we
• 42:00
  Speaker 1: think we can kill him, but we're also like, we're
• 42:02
  Speaker 1: probably gonna have to move this or go to a
• 42:04
  Speaker 1: different tree or whatever, so let's go have to sit
• 42:06
  Speaker 1: there and see if we see him. And what do
• 42:08
  Speaker 1: you know, he walks in twenty five yards and I
• 42:10
  Speaker 1: goofed the whole situation up and I don't even get
• 42:12
  Speaker 1: my bow draw because I was in a bad position.
• 42:14
  Speaker 1: I kind of had my head out of the game,
• 42:16
  Speaker 1: and I got very excited, very quickly, and I really
• 42:19
  Speaker 1: really botched it up and and just screwed up on
• 42:23
  Speaker 1: a really big deer. But I was doing it that night.
• 42:25
  Speaker 1: So I do a lot of observation sits. And I
• 42:28
  Speaker 1: think one of those situations would be, you know, like
• 42:32
  Speaker 1: say it's a big timber track and it's just lots
• 42:35
  Speaker 1: of timber, and you know the deer in there, but
• 42:37
  Speaker 1: you know outside of camera photos, or you're not gonna
• 42:40
  Speaker 1: observe that timber because you can't see him there. You've
• 42:42
  Speaker 1: just got to be very wise about the days you'll
• 42:45
  Speaker 1: go in there and where you're gonna sit and how
• 42:47
  Speaker 1: you're gonna set up. Like I love. I love high
• 42:51
  Speaker 1: pressure days thirty point give me thirty point one and rising,
• 42:55
  Speaker 1: and I feel much more confident going into a timber
• 42:58
  Speaker 1: and affecting less then on a point eight with cloud
• 43:03
  Speaker 1: cover and swirly winds, where you're gonna affect a lot
• 43:06
  Speaker 1: of stuff. So be wise about the weather conditions when
• 43:09
  Speaker 1: you choose to go do it, and be wise about
• 43:12
  Speaker 1: your access and then affect less. I don't walk and
• 43:16
  Speaker 1: scout a tremendous a lot tremendous amount during the season.
• 43:20
  Speaker 1: I do all of that in the off season, I
• 43:22
  Speaker 1: walk the you know, leather off the bottom of the
• 43:25
  Speaker 1: shoes shed hunting and the off season, but come season,
• 43:30
  Speaker 1: I am really cautious about getting in there and scouting
• 43:34
  Speaker 1: an area unless the weather is just absolutely pristine and perfect,
• 43:37
  Speaker 1: because I think the worst thing you can do as
• 43:41
  Speaker 1: a hunter is bounce a deer out of where you're
• 43:44
  Speaker 1: trying to kill him. I mean, unless you just don't care,
• 43:46
  Speaker 1: you know, unless you're you know, like you know, I'm
• 43:49
  Speaker 1: not in it trying to pattern the bucket. I'm in
• 43:50
  Speaker 1: it to go and enjoy myself, and I want to
• 43:53
  Speaker 1: go cover some ground on this track of ground today
• 43:55
  Speaker 1: and see what the deer sign looks like and jump
• 43:57
  Speaker 1: into tree saddle and see if I kill one that's okay.
• 44:01
  Speaker 1: The great thing about deer hunting, there's a lot of
• 44:02
  Speaker 1: different techniques where you can kill them. My personal technique
• 44:06
  Speaker 1: and my personal desire is to never affect the deer
• 44:10
  Speaker 1: and try not to let them know they're being haunted.
• 44:12
  Speaker 1: That's because that's worked for me in the past. So
• 44:15
  Speaker 1: therefore I'm very cautious about those days that I'll go
• 44:18
  Speaker 1: do that that technique where I'm actually trying to gain
• 44:21
  Speaker 1: intel by going into their world, if you will. Yeah,
• 44:25
  Speaker 1: So when you're doing an observation sit or you're glassing,
• 44:30
  Speaker 1: what specifically, And I'm sure the answer is everything, but
• 44:36
  Speaker 1: I guess I'm looking for a little bit more nuanced
• 44:38
  Speaker 1: as far as what specifically are you looking for? Like
• 44:41
  Speaker 1: what are the things like you sit, you see the
• 44:43
  Speaker 1: buck pop out in your mind? What are the key
• 44:47
  Speaker 1: data points that you need to preserve from that observation? Uh?
• 44:51
  Speaker 1: And how do you then do that? So you you
• 44:54
  Speaker 1: you see the buck, let's say, do you go home?
• 44:56
  Speaker 1: Do you go pull up deer cast and put in
• 44:58
  Speaker 1: the notes like Okay, I saw him and he came
• 44:59
  Speaker 1: from here and he did X and and all that,
• 45:02
  Speaker 1: or how do you take advantage of a sighting and
• 45:06
  Speaker 1: squeeze that for as much as possible? Maybe That's what
• 45:08
  Speaker 1: I'm getting at. It definitely goes back into that overall
• 45:13
  Speaker 1: data bank, if you will, of what's the crop rotation,
• 45:17
  Speaker 1: what phase are we in, what time of the year
• 45:19
  Speaker 1: is it, what is the weather like today? What made
• 45:23
  Speaker 1: him move during daylight? Where did he come from? Where
• 45:27
  Speaker 1: is he going? It's really as simple as what I
• 45:30
  Speaker 1: just said right there, Where did he bed? Where is
• 45:33
  Speaker 1: he heading to feed? Or if it's a later and
• 45:36
  Speaker 1: I'm speaking in terms of where I'm at right now
• 45:39
  Speaker 1: in the season, which is you know, early October, and
• 45:41
  Speaker 1: they're they're on food patterns. That's going to change drastically
• 45:44
  Speaker 1: coming up here because the home ranges are going to expand.
• 45:47
  Speaker 1: And then in November it's you know, bar the door there,
• 45:50
  Speaker 1: they're all over the Dad Come place. So all of
• 45:53
  Speaker 1: those different factors have to be either journals are remembered,
• 45:58
  Speaker 1: are put into that overall data bag of of your
• 46:02
  Speaker 1: personal dear memory slash history, slash predictive model, whatever that
• 46:06
  Speaker 1: is for you as a person. It has to be
• 46:09
  Speaker 1: documented some way so that you can and eight years,
• 46:12
  Speaker 1: ten years, seven years, go back, not necessarily to reflect
• 46:17
  Speaker 1: on that dear, but reflect on what the dear in
• 46:21
  Speaker 1: general do with those conditions when they repeat, because when
• 46:25
  Speaker 1: weather conditions repeat and mass crop repeats and crop rotation repeats,
• 46:30
  Speaker 1: the dear in general will most likely act and bed
• 46:33
  Speaker 1: the same way that they are when you made that observation.
• 46:37
  Speaker 1: So something you said there made me. It triggered a
• 46:42
  Speaker 1: situation that I've oftentimes found myself in wondering about UH,
• 46:47
  Speaker 1: and I think it has it's tied to this kind
• 46:49
  Speaker 1: of observation type situation where you see a deer do
• 46:52
  Speaker 1: something and then you think about, Okay, what was the
• 46:55
  Speaker 1: wind doing on at that particular time, and why did
• 46:58
  Speaker 1: he come from where he came from, and why was
• 47:00
  Speaker 1: he going where he was going. One of the dilemmas
• 47:03
  Speaker 1: I oftentimes find myself is that I'm looking at a
• 47:08
  Speaker 1: daylight photo or I'm looking at some piece of data
• 47:11
  Speaker 1: that says, okay, that buck was in here on this day.
• 47:14
  Speaker 1: What was the wind you know that day? And I'll say, okay,
• 47:17
  Speaker 1: it's a northwest or whatever. But then maybe it was
• 47:21
  Speaker 1: different in the morning versus the evening. And I guess
• 47:25
  Speaker 1: I'm curious, what do you think matters more when it
• 47:29
  Speaker 1: comes to predicting what a buck's going to do? Is
• 47:31
  Speaker 1: is the wind in the morning when he went back
• 47:33
  Speaker 1: to bed the most important thing to predict what he's
• 47:36
  Speaker 1: gonna do? Or is it the wind in the evening
• 47:40
  Speaker 1: when he comes out to his food source, like which
• 47:43
  Speaker 1: is influencing his behavior more? Um, I don't know if
• 47:47
  Speaker 1: I'm explaining this question, what does that make sense? Mark?
• 47:49
  Speaker 1: Are you? Are you talking in terms of speed or direction?
• 47:52
  Speaker 1: I was thinking direction, but both of the interesting um,
• 47:58
  Speaker 1: wind speed is what I pay most attention to. I
• 48:02
  Speaker 1: pay almost no attention to win direction as it pertains
• 48:08
  Speaker 1: to a bucks paninable and predictive movements as much as
• 48:12
  Speaker 1: I do speed. Um, I am not one that conforms
• 48:18
  Speaker 1: to the thought that the direction of wind will dictate
• 48:25
  Speaker 1: a lot for a deer. I'm sure it does, but
• 48:28
  Speaker 1: I don't think it's as important as as I as
• 48:33
  Speaker 1: I think some people think it is. If that makes sense,
• 48:36
  Speaker 1: just that's just based on my observations. I'm much more
• 48:39
  Speaker 1: interested in the speed and his overall demeanor, which I
• 48:43
  Speaker 1: think speed has a great deal to do with. Then
• 48:46
  Speaker 1: I am the direction of the wind, So tell me
• 48:49
  Speaker 1: a little bit more about that then. So if if
• 48:51
  Speaker 1: the speed is really what might be influencing, I mean,
• 48:55
  Speaker 1: are you saying my influence whether or not a buck
• 48:57
  Speaker 1: were to come out in daylight again, or if you
• 48:59
  Speaker 1: know he's will be more active? Absolutely? Yeah. And that's
• 49:04
  Speaker 1: combined with a lot of other weather factors, and when
• 49:07
  Speaker 1: when a lot of them optimize, that's when you see
• 49:10
  Speaker 1: those magical days. It's like, holy shoot. So three shooters tonight,
• 49:14
  Speaker 1: you know, or I saw thirty deer, But you know,
• 49:18
  Speaker 1: the other night I set the same place, and I
• 49:20
  Speaker 1: saw three deer, and you know, a lot of things
• 49:23
  Speaker 1: were similar, but all of a sudden when several things optimized,
• 49:26
  Speaker 1: like we're about to do that tomorrow and the next
• 49:29
  Speaker 1: day at least here in the Midwest, there's a bunch
• 49:32
  Speaker 1: of weather factors that are optimizing, and we're we're very
• 49:37
  Speaker 1: anxious for this this next three or four day period here,
• 49:40
  Speaker 1: can you can you in a way that won't you know,
• 49:43
  Speaker 1: give away too much information? Would you be willing to
• 49:46
  Speaker 1: walk me through you know what you're how you're gonna
• 49:50
  Speaker 1: take advantage of this optimal set of conditions, and how
• 49:52
  Speaker 1: you are going to you know, pattern or try to
• 49:56
  Speaker 1: take advantage of a pattern that you've been developing with
• 49:58
  Speaker 1: with the buck of your own. Is there in the
• 50:00
  Speaker 1: example you could share of like this is what he's
• 50:02
  Speaker 1: done in the history, this is what the pictures tell me. Now,
• 50:05
  Speaker 1: this is how this lines up with the current weather pattern.
• 50:08
  Speaker 1: And is there a case study that we have here
• 50:10
  Speaker 1: that might work to discuss Uh? No, because of the
• 50:17
  Speaker 1: three of the I shouldn't answer it that way. Yes
• 50:20
  Speaker 1: there is, but in this year this instance, three of
• 50:24
  Speaker 1: the bucks that I'm hunting are bucks that don't home
• 50:27
  Speaker 1: core on my farms, like I'm waiting for them to
• 50:30
  Speaker 1: show and then I'm gonna go hunt them, and none
• 50:31
  Speaker 1: of them are on there right now, so because I
• 50:36
  Speaker 1: hunt a lot of small parcels and therefore I'm just
• 50:40
  Speaker 1: off oftentimes, so i gotta wait for them to come in.
• 50:44
  Speaker 1: Um So, in direct answer to your question, and then
• 50:48
  Speaker 1: the other one that I'm hunting, I've really got four
• 50:50
  Speaker 1: targets that I'm hunting this year, and the other one
• 50:53
  Speaker 1: I think does live there a lot. However, the wind
• 50:56
  Speaker 1: direction is completely wrong to hunting over the next few days.
• 50:59
  Speaker 1: So um So, that's why my simple answer was no.
• 51:02
  Speaker 1: In terms of who I'm hunting right now. However, Mattson
• 51:07
  Speaker 1: Perry's got a tag. So there are other bucks that
• 51:10
  Speaker 1: I think are going to play quite well through these conditions,
• 51:14
  Speaker 1: and that's looking at historical data. They're bucks that have
• 51:17
  Speaker 1: been there at their lives and the conditions are lining up.
• 51:20
  Speaker 1: If we can put them to bed, we should see
• 51:23
  Speaker 1: them and possibly kill them. It's exactly what we did
• 51:25
  Speaker 1: last night with Wades. So and the reason I say
• 51:29
  Speaker 1: that is because I've had many days over the past
• 51:33
  Speaker 1: ten days where I've had a buck early morning on
• 51:36
  Speaker 1: a sub cam and go he's not coming out tonight.
• 51:40
  Speaker 1: The weather conditions aren't right. I don't think he's gonna
• 51:43
  Speaker 1: daylight tonight, and therefore we choose not to go in there,
• 51:45
  Speaker 1: and more often than not, he did not. That's going
• 51:48
  Speaker 1: to change um here with this weather front, we're gonna
• 51:52
  Speaker 1: be below normal temperatures. We've got cold north winds, and
• 51:56
  Speaker 1: these weather fronts, I will say that through an union,
• 52:00
  Speaker 1: when you get them, they're that much more important because
• 52:04
  Speaker 1: we get so few. When you get one, Holy cow, man,
• 52:07
  Speaker 1: they're all on the feet, and they're moving a little
• 52:10
  Speaker 1: bit further than moving earlier than moving a little farther,
• 52:12
  Speaker 1: it's pretty cool. What's about to happen here in the
• 52:15
  Speaker 1: middle of So that raises another question. Then we've got
• 52:18
  Speaker 1: maybe three main categories of data. I guess you could
• 52:22
  Speaker 1: say that might help us make a decision. One of
• 52:24
  Speaker 1: those categories is historical data, so past sightings, past pictures.
• 52:30
  Speaker 1: This The next thing is like our recent intel. So
• 52:32
  Speaker 1: what are our cell cameras are telling us right now?
• 52:35
  Speaker 1: Or what is the regular camera that we checked within
• 52:37
  Speaker 1: the last few days tell us right now? That's the
• 52:39
  Speaker 1: second category, and the third category is all of the
• 52:42
  Speaker 1: weather conditioned environment type stuff that might impact something. Now
• 52:48
  Speaker 1: that we have that recent you know, now that cell
• 52:51
  Speaker 1: cameras have entered the picture, how is that? You know,
• 52:55
  Speaker 1: how has that changed the value of one of the
• 52:58
  Speaker 1: those different categories. Is historical patterns? Is that less important
• 53:02
  Speaker 1: now because you've got this recent intel or is it?
• 53:06
  Speaker 1: Is it still on equal plant Is it in equal
• 53:08
  Speaker 1: playing field? It just makes it that much more effective
• 53:13
  Speaker 1: and validates what your assumptions are much quicker for you, right,
• 53:19
  Speaker 1: are invalidates right? So Raconics has a saying, see what
• 53:23
  Speaker 1: you've been missing? Well, South Camp's also you have what
• 53:26
  Speaker 1: you haven't been missing, Like I've got suitors that we
• 53:30
  Speaker 1: had summer to intel on that I have anticipated to
• 53:33
  Speaker 1: show up on certain forms that they just haven't yet.
• 53:36
  Speaker 1: So it tells you not to go there until they do.
• 53:39
  Speaker 1: So the fourth piece of that, you name three very
• 53:42
  Speaker 1: important ones. I would divide the weather in the environment
• 53:46
  Speaker 1: literally into those two categories. So weather data guess and
• 53:50
  Speaker 1: then environment which I always look at prop rotation and mascots,
• 53:53
  Speaker 1: so food source. You know, weather is going to affect
• 53:56
  Speaker 1: how they feed, what's planted where, and what the mass
• 53:59
  Speaker 1: crop is going to affect where they feed. So those
• 54:04
  Speaker 1: two things in combination can help you get ahead of
• 54:08
  Speaker 1: where he's going to be as as opposed to behind. Yeah,
• 54:12
  Speaker 1: what about when some of these things conflict? So what
• 54:16
  Speaker 1: if you have a uh, what if the weather is lousy,
• 54:25
  Speaker 1: if it's not as good as it should be, but
• 54:27
  Speaker 1: you have a two year in a row kind of
• 54:29
  Speaker 1: annual pattern that this buck always starts cruising through here
• 54:32
  Speaker 1: the last week of October and he's been rock solid here,
• 54:37
  Speaker 1: you know, going crazy the last two years, and now
• 54:41
  Speaker 1: that arrives this year and you're just not loving the weather.
• 54:44
  Speaker 1: But you know the historically he's been moving in daylight
• 54:46
  Speaker 1: during that time period. In that kind of example or
• 54:49
  Speaker 1: some other example where two or or three of these
• 54:52
  Speaker 1: different things don't all line up, do you, dude, which
• 54:56
  Speaker 1: do you trust? Like do you always fall back and say, well,
• 54:58
  Speaker 1: history says he's going to start moving through here, so
• 54:59
  Speaker 1: I to give it a shot, or do you now
• 55:02
  Speaker 1: wait until the cell cameras confirm it? You know, irrefutably,
• 55:06
  Speaker 1: it's it depends on the time of the year. So
• 55:08
  Speaker 1: in answer to that question, at I'm hunting him whether
• 55:12
  Speaker 1: it's great weather or not, because his testosterones at a
• 55:16
  Speaker 1: level it's gonna kind of trump the weather a little bit.
• 55:19
  Speaker 1: You don't need nearly as great a weather to kill
• 55:22
  Speaker 1: them then as you do now. When they're in a
• 55:25
  Speaker 1: food pattern and moving the hundred yards from their bed
• 55:27
  Speaker 1: to their feed each day, even though it's less of
• 55:30
  Speaker 1: a distance, it takes much better conditions for them to daylight.
• 55:33
  Speaker 1: And I'm I'm speaking in terms of older deer. That
• 55:36
  Speaker 1: doesn't mean that a year and a half or two
• 55:38
  Speaker 1: and a half won't do it. But if you're hunting
• 55:40
  Speaker 1: five or six year old deer, man, things better be
• 55:42
  Speaker 1: awfully perfect to get that sucker up and seem during daylight,
• 55:45
  Speaker 1: because they're walking slow, they stand up, they stretch, they
• 55:49
  Speaker 1: browse around. They're just late moving during daylight, you know.
• 55:53
  Speaker 1: And it's it's very difficult to get close enough to
• 55:57
  Speaker 1: see a deer of age six of an evening or
• 56:02
  Speaker 1: of a morning. It's extremely difficult to get in that
• 56:06
  Speaker 1: short period are a short distance that they're going to
• 56:09
  Speaker 1: move during daylight. It's much easier to do so in
• 56:12
  Speaker 1: late October earlier November, when the distance increases and when
• 56:16
  Speaker 1: testosterone is higher and they're actually moving moving better. You know,
• 56:21
  Speaker 1: they just move better this time of the year. They're finicky. Man,
• 56:24
  Speaker 1: it's got to be all the all systems have to
• 56:26
  Speaker 1: be green light to really expect to see a deer
• 56:29
  Speaker 1: of that age class. So I answered that a little long,
• 56:33
  Speaker 1: but I believe that's the correct answer to your question. Yeah, yeah,
• 56:38
  Speaker 1: I follow you kind of back to the annual pattern thing.
• 56:42
  Speaker 1: One other thing, I'm curious about how cell cameras have
• 56:47
  Speaker 1: I guess you kind of said it. Sometimes they confirm
• 56:49
  Speaker 1: what you what you believe, or you confirm your assumptions.
• 56:51
  Speaker 1: But how has your thoughts on annual patterns evolved over
• 56:56
  Speaker 1: the years, especially now that you maybe we can confirm
• 56:59
  Speaker 1: them or or disprove them more accurately. Do you do
• 57:03
  Speaker 1: you still see this to be a a pretty consistent
• 57:06
  Speaker 1: thing that you can plan on. And how how tight
• 57:12
  Speaker 1: of a repeat have you, you know, now seen things
• 57:15
  Speaker 1: to be. Do you look at this and think, ma'am,
• 57:17
  Speaker 1: if they did it the last year, they're likely to
• 57:19
  Speaker 1: do it again on the same day, the same week,
• 57:22
  Speaker 1: the same condition. Like what, I guess give me more
• 57:28
  Speaker 1: on any better? I hear you and I get where
• 57:31
  Speaker 1: you're going. And yes, I still believe that with every
• 57:35
  Speaker 1: fiber of my being. However, there are factors that affected slightly.
• 57:40
  Speaker 1: And I've mentioned in a few times in our conversation
• 57:44
  Speaker 1: the environment with mass crop and and overall. You know,
• 57:49
  Speaker 1: crop rotation affects it, cover affects it. You know, a
• 57:53
  Speaker 1: farmer cutting a field one year, here's a great example,
• 57:57
  Speaker 1: um brush got out of control on the CRP farm
• 58:01
  Speaker 1: and that's where the buck was betting. And ff A
• 58:03
  Speaker 1: got on that farmer's tail and said, you've got to
• 58:06
  Speaker 1: clean that brusho off of their Last year it was
• 58:09
  Speaker 1: all six but tall. This year it is seven inches tall.
• 58:13
  Speaker 1: Those types of factors affect deer's bed and behavior greatly.
• 58:17
  Speaker 1: So your overall awareness to your environment is just as
• 58:22
  Speaker 1: important to the patterning of a deer as it is
• 58:25
  Speaker 1: sitting in a computer and writing down all your notes
• 58:27
  Speaker 1: and then looking at the notes and then looking backwards,
• 58:30
  Speaker 1: like I always say, why, no matter whether it's a
• 58:34
  Speaker 1: picture or a siting or anything else, why is he
• 58:38
  Speaker 1: doing what he's doing today, whether that be direction of travel,
• 58:41
  Speaker 1: whether that be moving, whether that be not moving, whether
• 58:45
  Speaker 1: that be a neighbor saying, hey, I just saw this
• 58:47
  Speaker 1: certain deer and you go, wait a minute, that's the
• 58:49
  Speaker 1: deer I'm hunting over here. You know, I always go
• 58:51
  Speaker 1: why what made things happen, whether that be something that
• 58:56
  Speaker 1: happened consistently or whether it's something that changed. So, yes,
• 59:01
  Speaker 1: I believe it with every fiber of my being, but
• 59:03
  Speaker 1: you also have to be very nimble in the moment
• 59:06
  Speaker 1: to accept change and go, dang it, my plan that
• 59:10
  Speaker 1: I made in July in August is not coming to fruition.
• 59:14
  Speaker 1: Why is it not coming to fruition? I had all
• 59:16
  Speaker 1: this laid out, Man, I was gonna kill him on
• 59:18
  Speaker 1: October the five. Well, why aren't you killing him? Um?
• 59:22
  Speaker 1: There there's reasons because they it's the chess match that
• 59:27
  Speaker 1: I think people get so addicted to. UM. So if
• 59:32
  Speaker 1: you figure out the wise, and the more of the
• 59:34
  Speaker 1: wise that you figure out, the more dear and the
• 59:37
  Speaker 1: more mature dear you're you're gonna kill. So so let's
• 59:41
  Speaker 1: go back to a little bit of the um, you know,
• 59:45
  Speaker 1: the analyzing of all this data. So there's these different
• 59:51
  Speaker 1: categories of data we've we've been discussing, and then there's
• 59:54
  Speaker 1: what's gonna happen tomorrow or what's gonna happen next week,
• 59:57
  Speaker 1: and we're trying to decide, okay, based on all this
• 59:59
  Speaker 1: data we have of what's he gonna do tomorrow? And
• 1:00:01
  Speaker 1: where stead I hunt? There's these different pieces of data
• 1:00:06
  Speaker 1: that we can connect back to, back to history. So
• 1:00:09
  Speaker 1: back to the picture we got yesterday, or back to
• 1:00:12
  Speaker 1: the pattern he had last year. How tight of a
• 1:00:16
  Speaker 1: connection or how many of these things have to line
• 1:00:18
  Speaker 1: up before you were to go in there. And so
• 1:00:20
  Speaker 1: my example would be, let's say you're trying to decide
• 1:00:24
  Speaker 1: where to hunt the first week in October. Let's let's
• 1:00:26
  Speaker 1: say later we'll say that, you know, last week of October,
• 1:00:30
  Speaker 1: and you have daylight pictures of him, you know, yesterday
• 1:00:33
  Speaker 1: and the day before with a certain wind speed and
• 1:00:37
  Speaker 1: you know, good cold front kind of conditions that came
• 1:00:41
  Speaker 1: passing through. Now you're saying, what should I do the
• 1:00:43
  Speaker 1: next day? If the next day, if if you don't
• 1:00:45
  Speaker 1: have that same condition, the same set of conditions in place,
• 1:00:50
  Speaker 1: do you still move on it? Or do you want
• 1:00:52
  Speaker 1: to have like Okay, I want the same location matched
• 1:00:55
  Speaker 1: up with the same conditions before I jump in there
• 1:00:58
  Speaker 1: and try to kill him again. I generally it's more
• 1:01:02
  Speaker 1: often than not, you know, it's it's really about the weather.
• 1:01:06
  Speaker 1: For me, Like, as you know, I am a slave
• 1:01:08
  Speaker 1: to it. And I mean it's why we create a
• 1:01:10
  Speaker 1: deer cast. Like I firmly believe that there are windows
• 1:01:13
  Speaker 1: of opportunity each year that you're given with a daylight opportunity,
• 1:01:17
  Speaker 1: and that all revolves around the weather and how close
• 1:01:21
  Speaker 1: you can get to that dear's bed depending on the
• 1:01:24
  Speaker 1: time of the year and and how far they're moving
• 1:01:27
  Speaker 1: at that time of the year. So I'm pretty pretty
• 1:01:31
  Speaker 1: discipline when it comes to making sure it's the right
• 1:01:34
  Speaker 1: opportunity because I go back to my statement earlier saying
• 1:01:39
  Speaker 1: I never want them to know that they're being hunted
• 1:01:41
  Speaker 1: like that's I just I don't want them to kill
• 1:01:44
  Speaker 1: me right like I'm trying to kill them. So in
• 1:01:47
  Speaker 1: my mind, it's this me against them game of chess,
• 1:01:52
  Speaker 1: and I want to be the one saying checkmate. I
• 1:01:55
  Speaker 1: want to be the one. I don't want him to
• 1:01:58
  Speaker 1: smell me, because to me, if a deer smells me
• 1:02:01
  Speaker 1: and figures me out like it's it's just dangner over
• 1:02:04
  Speaker 1: every time. I don't know if you've noticed that through time,
• 1:02:06
  Speaker 1: but when they when they get you, they got you,
• 1:02:10
  Speaker 1: So don't let them get you. Said, that's that should
• 1:02:13
  Speaker 1: be a tee shirt when they get the gut because man,
• 1:02:17
  Speaker 1: when they figured you out. Buddy, they're a lot better.
• 1:02:20
  Speaker 1: They're a lot better at this than we are. And
• 1:02:22
  Speaker 1: they're good at living. I said all the time. They
• 1:02:24
  Speaker 1: are good at living, and they're terrible at dying. I mean,
• 1:02:27
  Speaker 1: it is hard to kill a mature dear. And if
• 1:02:30
  Speaker 1: you mess up and goof him up man alive, does
• 1:02:34
  Speaker 1: it make him tougher that year and years years in
• 1:02:36
  Speaker 1: the future. So I'm always I'm always betting on the
• 1:02:41
  Speaker 1: come and betting terms. So I'm waiting, I'm waiting, I'm waiting,
• 1:02:45
  Speaker 1: and I try to strike when when things line up,
• 1:02:48
  Speaker 1: I want optimized everything to go in there and try
• 1:02:50
  Speaker 1: and kill that deer. That's just me um. So you know,
• 1:02:55
  Speaker 1: other days I'm out shooting those other days I'm filming someone.
• 1:02:59
  Speaker 1: But if it's a specific target that I'm trying to hunt,
• 1:03:02
  Speaker 1: I actually hunt him very few days, if that makes sense.
• 1:03:06
  Speaker 1: I think back to the deer I've killed over the
• 1:03:08
  Speaker 1: last few years. I've spent very few days actually where
• 1:03:12
  Speaker 1: I thought I was going to kill him. You got
• 1:03:17
  Speaker 1: a target buck that shows up, you get sell picture
• 1:03:20
  Speaker 1: of him. Let's say two days in a row with
• 1:03:24
  Speaker 1: north wind, nice good weather, and for whatever reason, you
• 1:03:29
  Speaker 1: you couldn't be out hunting in this location because you
• 1:03:32
  Speaker 1: went to Texas or you were somewhere else. But he's
• 1:03:34
  Speaker 1: day letting twice in a row, day three totally different
• 1:03:39
  Speaker 1: conditions though not as good, but he was daylight two
• 1:03:43
  Speaker 1: days in a row. Are you Are you saying drop wind, speed,
• 1:03:47
  Speaker 1: dropped clouds, rolled in, Yeah, or I may not go
• 1:03:52
  Speaker 1: try him, but you're already behind a little bit like
• 1:03:55
  Speaker 1: that's have you ever noticed about a mature buck? They
• 1:03:58
  Speaker 1: seldom almost never daylight every single day for a week, right,
• 1:04:04
  Speaker 1: If you you know you'll get a day here and
• 1:04:07
  Speaker 1: a day there, there's some randomness to win their daylight.
• 1:04:09
  Speaker 1: And that again, it's another reason we did our predicted model.
• 1:04:13
  Speaker 1: It's like, why why did you day Oh? There, it
• 1:04:15
  Speaker 1: is there, it is there, it is You put it
• 1:04:17
  Speaker 1: all together in an algorithm with thirteen different variables, and
• 1:04:21
  Speaker 1: we try to help people predict when the best movement's
• 1:04:23
  Speaker 1: going to be when the optimized conditions are there. So
• 1:04:26
  Speaker 1: I'm trying to pick those days for me personally, and
• 1:04:29
  Speaker 1: I'm using historical data that I've compiled on that deer,
• 1:04:33
  Speaker 1: on that farm, on the crops, everything all combined together
• 1:04:37
  Speaker 1: to go there it is. There's the day. Here's where
• 1:04:39
  Speaker 1: I'm gonna try and just try to be right more
• 1:04:43
  Speaker 1: than you are wrong. But I'm still wrong a heck
• 1:04:45
  Speaker 1: of a lot more than I'm right. I still I
• 1:04:47
  Speaker 1: make a lot of bad judgments. We all are right,
• 1:04:50
  Speaker 1: you know, like in in baseball they say you're very
• 1:04:53
  Speaker 1: successful if you get you know, you're about two fifty.
• 1:04:55
  Speaker 1: Your your successful one fourth at the time. Well, and
• 1:04:59
  Speaker 1: in hunting, what would it be it was one hundreds
• 1:05:01
  Speaker 1: of a time. You know, it's you're batting, you're batting
• 1:05:05
  Speaker 1: under a hundred. I know that for a mature buck,
• 1:05:07
  Speaker 1: you're batting way under average, very low. If you just
• 1:05:12
  Speaker 1: what do you get the whole season? Maybe a chance
• 1:05:16
  Speaker 1: to a chance to two or three and that's you know,
• 1:05:20
  Speaker 1: that's hunting a lot. You don't get many chances. So
• 1:05:24
  Speaker 1: when you take your shot, you know you need to
• 1:05:26
  Speaker 1: try and have everything in your favor that you can.
• 1:05:29
  Speaker 1: And that's one side of the equation. The other side
• 1:05:32
  Speaker 1: of the equation is persistence and the numbers game does
• 1:05:36
  Speaker 1: come up, there's a d factor and everything. In fact
• 1:05:39
  Speaker 1: that night that I sat there and I saw that target.
• 1:05:42
  Speaker 1: In my pre hunt interview, I talked about I haven't
• 1:05:45
  Speaker 1: had a daylight photo of this deer. I've had one
• 1:05:47
  Speaker 1: in the last month since he shut his velvet. I
• 1:05:50
  Speaker 1: had had one daylight photo of him. And I said,
• 1:05:53
  Speaker 1: but I believe he's here because I'm getting nighttime photos
• 1:05:56
  Speaker 1: and there is a dow factor in hunting, and he's
• 1:05:58
  Speaker 1: gonna daylight again soon. Sure enough, he daylighted that night
• 1:06:01
  Speaker 1: and I goofed it up. I jacked it up terribly.
• 1:06:04
  Speaker 1: But the two factor does come into play. But I
• 1:06:06
  Speaker 1: have a locked in, freaking access. I had a perfect
• 1:06:10
  Speaker 1: wind speed, I had a perfect wind direction to access it,
• 1:06:13
  Speaker 1: so I felt safely that I could get there and
• 1:06:15
  Speaker 1: then leave into that what is kind of a quasi
• 1:06:19
  Speaker 1: observation set. Yet I might still kill him here. Well,
• 1:06:22
  Speaker 1: it worked, but I goofed it up. So there's one
• 1:06:25
  Speaker 1: of my chances this year. I know that I knew
• 1:06:28
  Speaker 1: when it happened, got out there, I'm like, that's one
• 1:06:31
  Speaker 1: of my few opportunities I'll have. And he's he's a
• 1:06:34
  Speaker 1: he's a whopper man. This steer is really really big,
• 1:06:36
  Speaker 1: and I jacked it up. I left there that night
• 1:06:40
  Speaker 1: thinking I'll probably not have that chance again this year.
• 1:06:43
  Speaker 1: That was my exact thoughts. So when you have this
• 1:06:47
  Speaker 1: is this is off topic, but I can't help it.
• 1:06:49
  Speaker 1: Ask like, when you have something like that happened, even
• 1:06:54
  Speaker 1: someone has experienced and who has had as much success
• 1:06:57
  Speaker 1: as you have, how do you, like says, deal with
• 1:07:01
  Speaker 1: that and move on from it? Like, how how did
• 1:07:03
  Speaker 1: you handle that night sitting and sitting in bed at
• 1:07:05
  Speaker 1: home after you had this monster within range and you
• 1:07:08
  Speaker 1: couldn't pull it together? What what do you do? Closer?
• 1:07:13
  Speaker 1: In baseball's mentality, I have a lot of baseball analogies
• 1:07:15
  Speaker 1: because I I watched every single pitch of every Cardinal
• 1:07:18
  Speaker 1: game since I was like Ted right, I'd love baseball.
• 1:07:21
  Speaker 1: So closer's mentality really terrible memory. Get over it quickly
• 1:07:25
  Speaker 1: and move on. That's the best thing you can do
• 1:07:28
  Speaker 1: um when it happens, because if you if you wear it,
• 1:07:31
  Speaker 1: if it's in your mind and it's working on you,
• 1:07:33
  Speaker 1: you're gonna goose the next one up and the next
• 1:07:35
  Speaker 1: one up. Like you have to get over it within
• 1:07:37
  Speaker 1: seconds and move on. That's all you can do. It happened,
• 1:07:41
  Speaker 1: It's ancient history. Now use it to better yourself in
• 1:07:44
  Speaker 1: the next situation. But get eliminate emotion from making mistakes.
• 1:07:50
  Speaker 1: You have to or it will eat you up the
• 1:07:52
  Speaker 1: full season. You're gonna goof it up. Trust me on experience,
• 1:07:56
  Speaker 1: because when I was younger, I was I was the
• 1:07:58
  Speaker 1: dumbest hunter man. I get so mad at situations because
• 1:08:02
  Speaker 1: those bucks met so much to me. Right well, as
• 1:08:04
  Speaker 1: I've aged, I've learned that you've got to get over
• 1:08:06
  Speaker 1: and move on to the next, the next opportunity, because
• 1:08:09
  Speaker 1: if you're not thinking with a clear head, you're not
• 1:08:11
  Speaker 1: gonna put yourself in the right position the next time.
• 1:08:13
  Speaker 1: And that's that's kind of mental side of the game.
• 1:08:16
  Speaker 1: We're getting off topic here a little bit, but I
• 1:08:18
  Speaker 1: think it is a very important part of the game,
• 1:08:21
  Speaker 1: is keeping a clear head and keeping a positive attitude.
• 1:08:25
  Speaker 1: I can't tell you I'm like a very optimistic person
• 1:08:28
  Speaker 1: in general. And like I've learned a long time ago
• 1:08:33
  Speaker 1: from a legend in our county, Paul sex Are. I
• 1:08:37
  Speaker 1: was like maybe fourteen or fifteen, and he took the
• 1:08:41
  Speaker 1: time to sit down and talk to me about turkey
• 1:08:43
  Speaker 1: hunting and turkey hunting tactics, and the one thing that
• 1:08:45
  Speaker 1: he said in that moment that night I had with him,
• 1:08:50
  Speaker 1: he said, and it was really Joe, his brother that
• 1:08:53
  Speaker 1: pointed it out. He said, Paul hunts like he's about
• 1:08:55
  Speaker 1: to kill a turkey every single second of every single hunt,
• 1:08:59
  Speaker 1: and that's kill so many and that type of focus
• 1:09:03
  Speaker 1: and so it's reality you're talking about focus that will
• 1:09:06
  Speaker 1: help you kill more game, especially with a positive attitude.
• 1:09:10
  Speaker 1: I'm gonna kill him. I know I'm gonna kill him.
• 1:09:12
  Speaker 1: He's here tonight. And you know what, Mark, I didn't
• 1:09:15
  Speaker 1: have that on October the second I mentioned before we
• 1:09:18
  Speaker 1: got on the phone. I went in a little rusty.
• 1:09:20
  Speaker 1: This was my only second set of the season, and
• 1:09:23
  Speaker 1: I was a little nonchalant about things that night, and
• 1:09:27
  Speaker 1: it cost me a giant I should have been ready,
• 1:09:29
  Speaker 1: I should have lived by the advice that I've lived
• 1:09:32
  Speaker 1: by for all these years. And I didn't, and it
• 1:09:35
  Speaker 1: cost me a deer. I didn't even get my bow drawn.
• 1:09:37
  Speaker 1: I was so little prepared, and you know, and I've
• 1:09:40
  Speaker 1: been in that situation a lot of times, but my
• 1:09:43
  Speaker 1: mental games sucked that night and it cost me a deer.
• 1:09:46
  Speaker 1: So it's not meat. But you know what, by the
• 1:09:48
  Speaker 1: time I got to the truck was over it and
• 1:09:50
  Speaker 1: I was thinking about the weather for the next night's time.
• 1:09:52
  Speaker 1: I have learned that, like you gotta have a closer mentality,
• 1:09:55
  Speaker 1: get over it quickly. Yeah, that's that's great advice. So,
• 1:10:12
  Speaker 1: speaking of your target Bucks, I did want to return
• 1:10:15
  Speaker 1: to a question I had related to your other target bucks.
• 1:10:18
  Speaker 1: You mentioned how most of these deer are all like,
• 1:10:20
  Speaker 1: not homebodies. They live somewhere else and they just occasionally
• 1:10:23
  Speaker 1: come into your neck of the woods. How does your
• 1:10:27
  Speaker 1: approach to patterning a deer change in that scenario when
• 1:10:30
  Speaker 1: you when you have a deer that you know it's
• 1:10:32
  Speaker 1: just an infrequent visitor. Does does anything we've talked about
• 1:10:36
  Speaker 1: Is it different because of that circumstance in anyway? Deeper dive, man,
• 1:10:40
  Speaker 1: deeper dive find every That's why I keep every picture.
• 1:10:44
  Speaker 1: They're on their seldom. So every piece of every piece
• 1:10:47
  Speaker 1: of the puzzle you get is so much more important
• 1:10:50
  Speaker 1: than a homeboy who you get all the time. Right,
• 1:10:52
  Speaker 1: It's like, um, you know, it's like that friend that
• 1:10:56
  Speaker 1: you can see every day at the bar and go
• 1:10:58
  Speaker 1: have a beer with him. You know what he's gonna do, right,
• 1:11:01
  Speaker 1: you know when he's gonna be there. You know what
• 1:11:03
  Speaker 1: he's gonna say when you sit down and have the
• 1:11:05
  Speaker 1: beer with him. You know what stories he's gonna tell
• 1:11:07
  Speaker 1: when he's had too many beers. Okay, the guy that
• 1:11:11
  Speaker 1: you only see once a year, you can't wait to
• 1:11:14
  Speaker 1: have that conversation. What are you gonna learn new? And
• 1:11:17
  Speaker 1: you you're a little bit more in tune with that
• 1:11:19
  Speaker 1: guy because it's it's it's something that occurs seldom. So
• 1:11:23
  Speaker 1: there far, I have files on all of these deer.
• 1:11:26
  Speaker 1: I know exactly when I've had pictures of them in
• 1:11:29
  Speaker 1: the past. I know what the conditions were, I know
• 1:11:31
  Speaker 1: what the crop rotation was. And in fact, the deer
• 1:11:35
  Speaker 1: that I'm what I would consider my number one targets,
• 1:11:38
  Speaker 1: he's really really large, but he was he was only
• 1:11:41
  Speaker 1: on me I think, based on what I can tell
• 1:11:44
  Speaker 1: a few hours last season. However, when the crop rotation
• 1:11:48
  Speaker 1: was the same in two thousand and twenty, he was
• 1:11:51
  Speaker 1: on me several days. So therefore my confidence is much
• 1:11:54
  Speaker 1: higher about him this year. Who he is aged, he
• 1:11:58
  Speaker 1: is aged, he was five six, he's seven and a
• 1:12:02
  Speaker 1: half this year. My confidence is fairly high that when
• 1:12:04
  Speaker 1: he gets to my farm, he if he's still alive,
• 1:12:07
  Speaker 1: is if he hasn't been killed by another hunter or
• 1:12:09
  Speaker 1: a car or e h D or something like that.
• 1:12:12
  Speaker 1: If I get him I think he may stay enough
• 1:12:15
  Speaker 1: days that I'll possibly have a shot at him. So
• 1:12:19
  Speaker 1: that goes back to that environment. Cross rotation is exactly
• 1:12:22
  Speaker 1: what it was in two thousand and twenty, not only
• 1:12:25
  Speaker 1: on my farm but all of the surrounding area because
• 1:12:27
  Speaker 1: I look at everything when it comes to deer hunting. Okay,
• 1:12:31
  Speaker 1: so I know this is going to be situation dependent.
• 1:12:33
  Speaker 1: But if we had to generalize, if you have a
• 1:12:36
  Speaker 1: buck like this, do you in this kind of case
• 1:12:41
  Speaker 1: in the world of cell cameras, are you always going
• 1:12:43
  Speaker 1: to wait until you get the camera pictures say always back?
• 1:12:46
  Speaker 1: Or is that sometimes too late? I want to be
• 1:12:48
  Speaker 1: the camera, so I'm gonna be sitting there waiting because
• 1:12:52
  Speaker 1: I've never taken very many pictures of him, so I
• 1:12:55
  Speaker 1: damn well better be there the day I do. So
• 1:12:57
  Speaker 1: I'm gonna use historical data to be there and try
• 1:13:00
  Speaker 1: and be the camera. If that makes sense. So is
• 1:13:03
  Speaker 1: it different different type buck, different type personality? Man? If
• 1:13:06
  Speaker 1: you miss your opportunity, you're out. I've got great locations,
• 1:13:09
  Speaker 1: I've got great access in and out. I'm gonna use them.
• 1:13:12
  Speaker 1: I'm gonna hut them, and I'm gonna hunt on much.
• 1:13:16
  Speaker 1: I will take my shots on lesser weather than what
• 1:13:19
  Speaker 1: I normally would on a homeboy. On a homeboy that's
• 1:13:22
  Speaker 1: not leaving, I don't want to run him out on
• 1:13:24
  Speaker 1: a deer that seldom there. I better be there when
• 1:13:27
  Speaker 1: he's there. So I'm gonna hunt a little more often. Okay, Um,
• 1:13:33
  Speaker 1: what about you know, we've we've talked a lot about
• 1:13:35
  Speaker 1: how patterning, you know, can be a pretty important thing
• 1:13:39
  Speaker 1: in these earlier parts of the year, but when we
• 1:13:41
  Speaker 1: get into the rut, things are a little bit different.
• 1:13:44
  Speaker 1: How how does your approach to patterning deer change once
• 1:13:48
  Speaker 1: we get into those rut phases? And and do you
• 1:13:50
  Speaker 1: even think you can pattern a deer during the rut?
• 1:13:53
  Speaker 1: My pattern changes ahead to texas well? There it is, there,
• 1:13:59
  Speaker 1: it is. I am one of those guys that I
• 1:14:03
  Speaker 1: don't want to say I hate the rut, but I
• 1:14:07
  Speaker 1: much prefer hunting October and December O October and deer
• 1:14:10
  Speaker 1: scemmer than I do November because the way that I
• 1:14:15
  Speaker 1: hunt me personally. I hunt based on expectation and data
• 1:14:20
  Speaker 1: and data points rather than hope. And when it comes
• 1:14:24
  Speaker 1: to so it's expectation rather than hope. We're real good
• 1:14:28
  Speaker 1: in and around the food source I mean, we kill
• 1:14:30
  Speaker 1: a lot of deer, you know, food source, tuck close
• 1:14:33
  Speaker 1: to cover. That's a that's an equation that has worked
• 1:14:36
  Speaker 1: well for Terry and I for for quite a while. Now.
• 1:14:39
  Speaker 1: When you get to November and they start spreading out
• 1:14:42
  Speaker 1: and suddenly home core ranges get just go like shotgun approach,
• 1:14:47
  Speaker 1: it's much more difficult to run into a deer. They're
• 1:14:49
  Speaker 1: chasing those and and uh, we still kill them during
• 1:14:52
  Speaker 1: that period and I still hunt them, but it gets
• 1:14:56
  Speaker 1: much tougher to kill a specific deer, which is what
• 1:15:00
  Speaker 1: I'm typically trying to do in November than it is,
• 1:15:04
  Speaker 1: say in October and December. Yeah, does does any does
• 1:15:10
  Speaker 1: any of this stuff still applied during the rut? Like
• 1:15:12
  Speaker 1: are you gonna get you know, annual pattern type data
• 1:15:16
  Speaker 1: and say, well, I'm hunting here the second week in
• 1:15:18
  Speaker 1: November and he did this thing last year. Do you
• 1:15:20
  Speaker 1: ever expect that kind of stuff to repeat during that
• 1:15:22
  Speaker 1: part of the year or do those things it's just
• 1:15:24
  Speaker 1: two random Yeah, they still repeat, like different things repeat though,
• 1:15:29
  Speaker 1: Like let's fast forward out of October. Let's fast forward
• 1:15:32
  Speaker 1: thirty days and go into early November. Fifth, seven, three
• 1:15:36
  Speaker 1: or four of the best Dad Gum days, they're still
• 1:15:39
  Speaker 1: hitting scrapes, they're still checking food sources for the first
• 1:15:42
  Speaker 1: available dough. They're covering a lot more ground, so you
• 1:15:44
  Speaker 1: can go back and look at that data and kill
• 1:15:46
  Speaker 1: that deer doing those exact same things. When I speak
• 1:15:50
  Speaker 1: of my disdain for the rut, it's really in and
• 1:15:52
  Speaker 1: around once they start locking down. So twelve Levet's twelve
• 1:15:56
  Speaker 1: and November through about the tenth eighteenth, that period right
• 1:16:02
  Speaker 1: there is a very frustrating time for me. Um. I
• 1:16:05
  Speaker 1: would much rather be in Missouri with a rifle in
• 1:16:07
  Speaker 1: my hand, or where my range is extended, or in
• 1:16:09
  Speaker 1: Texas where I feel like the bucks are still doing
• 1:16:12
  Speaker 1: things like they were doing here in late October, because
• 1:16:15
  Speaker 1: the run is later down there, so I kind of
• 1:16:17
  Speaker 1: I kind of go south to get on a more
• 1:16:20
  Speaker 1: palatable period, or I go to Missouri where we can
• 1:16:23
  Speaker 1: have a good time and it's rifle season and you
• 1:16:25
  Speaker 1: can stretch it out a little bit if you see
• 1:16:27
  Speaker 1: a buck tending a dough, those types of things. However,
• 1:16:30
  Speaker 1: just prior to lockdown and just after, absolutely you can
• 1:16:33
  Speaker 1: go back and look at pictures and figure out a
• 1:16:35
  Speaker 1: buck's pattern. It's just that they're covering more ground. And
• 1:16:38
  Speaker 1: and and walking more during daylight. So therefore you you
• 1:16:43
  Speaker 1: change where you're sitting. You're no longer sitting on a
• 1:16:45
  Speaker 1: food plot, right, You're not. One of the dumbest places
• 1:16:47
  Speaker 1: you can be is on a greenfield. You know, I
• 1:16:49
  Speaker 1: get into transition, I get into the bedroom. I start
• 1:16:53
  Speaker 1: hunting mornings, I start hunting full day sits. So the
• 1:16:56
  Speaker 1: tactics changed drastically. But yes, you can absolutely kill buck
• 1:17:00
  Speaker 1: in his bedroom. Uh, during that period of the year,
• 1:17:03
  Speaker 1: especially when he ages. You take a deer, say you've
• 1:17:06
  Speaker 1: been you know, fooled by this deer when he's three,
• 1:17:10
  Speaker 1: four or five, and suddenly six, he may not move
• 1:17:13
  Speaker 1: as much. Uh when he's seven, when he's eight, all
• 1:17:17
  Speaker 1: of a sudden, he's gonna daylight a little bit more.
• 1:17:19
  Speaker 1: It gets hungry a little bit more often, and you
• 1:17:22
  Speaker 1: can start taking advantage of his weaknesses. One of the
• 1:17:25
  Speaker 1: toughest did dear to kill is like a price, a
• 1:17:28
  Speaker 1: deer in his prime at age four and five, They
• 1:17:30
  Speaker 1: just they don't daylight quite as much. So six is
• 1:17:33
  Speaker 1: also another another challenging year. So you always keep in
• 1:17:36
  Speaker 1: mind the age of the deer, the overall environment. But yeah,
• 1:17:40
  Speaker 1: you can you can smoke him during the run, you know,
• 1:17:42
  Speaker 1: before they get with the does. Once they're with the does,
• 1:17:44
  Speaker 1: that's when it gets a little real challenging. And I think,
• 1:17:48
  Speaker 1: if you kill a deer that's tending a dough, you
• 1:17:51
  Speaker 1: should really go buy a lottery ticket that day because
• 1:17:53
  Speaker 1: you probably got fairly fortunate on that day. And that's
• 1:17:57
  Speaker 1: the truth. But that's where that's where DO factor comes in.
• 1:18:01
  Speaker 1: That's where I'm in good country. I know he's here.
• 1:18:04
  Speaker 1: I Am going to spend every single solid daylight hour
• 1:18:08
  Speaker 1: in a stand every single day to increase my odds.
• 1:18:12
  Speaker 1: That's how you kill them once they're locked down, just
• 1:18:14
  Speaker 1: absolute seat time in the stand. Yeah, let's say we're
• 1:18:18
  Speaker 1: after one specific buck in a scenarre like you're describing.
• 1:18:21
  Speaker 1: There's there's just the one guy that I really want
• 1:18:23
  Speaker 1: to get and we do all the things you describe
• 1:18:28
  Speaker 1: that do factor get out there, spend a lot of
• 1:18:30
  Speaker 1: time being the general area. Is it a waste of
• 1:18:33
  Speaker 1: time to chase cell camera pictures or to chase um?
• 1:18:38
  Speaker 1: You know, well he did this two days ago. I
• 1:18:40
  Speaker 1: think I got to be in this little corner um
• 1:18:42
  Speaker 1: during that particular time of year, you know, November three
• 1:18:46
  Speaker 1: th or something like that. Um, specifically, it's not a
• 1:18:52
  Speaker 1: waste of time because you know he's there, and that's
• 1:18:54
  Speaker 1: part of the equation that time of the year. Um,
• 1:18:58
  Speaker 1: you know, you get in the rut, you go, oh, uh,
• 1:19:01
  Speaker 1: where's my target. I haven't had a picture of him
• 1:19:03
  Speaker 1: in six seven days. Well he's standing there looking at
• 1:19:06
  Speaker 1: a girlfriend, you know. So when you get a self
• 1:19:08
  Speaker 1: picture and you're like, I'm still here. So that's important.
• 1:19:11
  Speaker 1: Just just having the deer in your hunting area is
• 1:19:15
  Speaker 1: half the battle. So therefore get in there and hunt
• 1:19:18
  Speaker 1: his butt, you know. Uh. Not having him changes that
• 1:19:21
  Speaker 1: a little bit. Uh So the rut brings about like
• 1:19:25
  Speaker 1: if we were having this conversation, I think a lot
• 1:19:28
  Speaker 1: of what I would be talking about might switch up
• 1:19:31
  Speaker 1: a little bit because right now my mind is so
• 1:19:33
  Speaker 1: center focused on greener pastors early October, you know, food bad,
• 1:19:38
  Speaker 1: that type of stuff. If we're having this conversation November five,
• 1:19:41
  Speaker 1: I might answer some of these things differently, But my
• 1:19:44
  Speaker 1: mind's wrapped around this right now, So I'm trying to
• 1:19:46
  Speaker 1: fast forward and think how I will be thinking that time,
• 1:19:49
  Speaker 1: you know. So it's it's different, you know, But I
• 1:19:53
  Speaker 1: love fifth, six, seventh, eighth, and ninth absolutely love it.
• 1:19:56
  Speaker 1: Mornings are great, does crisp cool mornings, you get good weather,
• 1:19:59
  Speaker 1: You've got buck walk until nine ten o'clock in the morning.
• 1:20:02
  Speaker 1: It's pretty exciting. I mean it can be a buck
• 1:20:05
  Speaker 1: factory in certain days. When you get the right weather
• 1:20:07
  Speaker 1: and and uh the right hot dough in the area,
• 1:20:09
  Speaker 1: you you find the magic circle and you're gonna kill
• 1:20:11
  Speaker 1: a deer. So it's it's an exciting time of the year. Yeah.
• 1:20:15
  Speaker 1: So you mentioned that you you really prefer for your
• 1:20:18
  Speaker 1: style of hunting the early part of the year and
• 1:20:20
  Speaker 1: the later part of the year. Uh So, let's talk
• 1:20:23
  Speaker 1: about the later part real quick. Is anything different in
• 1:20:26
  Speaker 1: the late season when it comes to patterning deer compared
• 1:20:29
  Speaker 1: to what we just described for that early, earlier stuff,
• 1:20:32
  Speaker 1: or do you go right back to the same plane
• 1:20:35
  Speaker 1: the vastly different that similar plan, but vastly different strategy
• 1:20:39
  Speaker 1: in terms of food source, your keying in on, and
• 1:20:42
  Speaker 1: most importantly, the thermal cover you're king in on where
• 1:20:45
  Speaker 1: those bucks bed right now is going to be different
• 1:20:48
  Speaker 1: than where they're bedding in December. Right now, they're trying
• 1:20:51
  Speaker 1: to stay cool and they've got cover everywhere because there's
• 1:20:54
  Speaker 1: leaves on all the trees. Get rid of all the leaves,
• 1:20:57
  Speaker 1: change the temperature by thirty or forty degrees for daytime,
• 1:21:00
  Speaker 1: and you've got a different system in place in terms
• 1:21:03
  Speaker 1: of what the white tails trying to do. Uh, he's
• 1:21:05
  Speaker 1: also in recovery mode as opposed to the mode he's
• 1:21:09
  Speaker 1: in right now, which is eating everything he can because
• 1:21:12
  Speaker 1: he's about to go crazy during the rut. So a
• 1:21:14
  Speaker 1: lot of dynamics change there. Does that change it? Although
• 1:21:18
  Speaker 1: how you actually try to pattern him like is the
• 1:21:22
  Speaker 1: same kind of data. I understand that the the environmental
• 1:21:26
  Speaker 1: factors are different. But when you sit down at night
• 1:21:28
  Speaker 1: and try to say, Okay, what's this buck going to
• 1:21:30
  Speaker 1: do tomorrow? Where should I hunt tomorrow? Are you are
• 1:21:33
  Speaker 1: you weighing things differently? Are you more confident in behaviors, repeating,
• 1:21:39
  Speaker 1: or anything else when you're actually trying to develop that
• 1:21:41
  Speaker 1: pattern In December, I'm a little less confident, and in
• 1:21:45
  Speaker 1: in December, I think December requires a much more optimized
• 1:21:51
  Speaker 1: win or not win. But whether um occurrence then does
• 1:21:56
  Speaker 1: October October, they seem a little more patterned bowl and
• 1:22:00
  Speaker 1: a little more likely todaylight with perhaps a little less
• 1:22:05
  Speaker 1: weather than in December. Man, it's got to be perfect
• 1:22:08
  Speaker 1: and again I'm speaking in terms of not deer in general,
• 1:22:11
  Speaker 1: but a target buck like a five six seven year
• 1:22:14
  Speaker 1: old deer. Uh, they just act different in December. They're
• 1:22:18
  Speaker 1: very tired. They may all of a sudden, if there's
• 1:22:21
  Speaker 1: a little secondary estros, all of a sudden, you'll go
• 1:22:24
  Speaker 1: do that. So you know, right now, in October you
• 1:22:27
  Speaker 1: don't have much of that. December you do get a
• 1:22:29
  Speaker 1: lot of it, especially if you're your herds out of balance,
• 1:22:32
  Speaker 1: so that comes into play. Uh, December can be tricky,
• 1:22:36
  Speaker 1: But I look back at historical patterns and I honestly
• 1:22:39
  Speaker 1: like I almost preferred to Christmas and later. Like you
• 1:22:43
  Speaker 1: take December third, somewhere and there all the way through
• 1:22:48
  Speaker 1: the end of the season January ten, with the right
• 1:22:50
  Speaker 1: weather conditions on a major thermal block, with the right
• 1:22:53
  Speaker 1: food source, you're gonna go in there and see a
• 1:22:56
  Speaker 1: pole of deer and possibly kill your number one target. Yeah,
• 1:23:00
  Speaker 1: that does sound pretty pretty good to me. It sounds
• 1:23:04
  Speaker 1: good right now. On the hot side, we can dream,
• 1:23:09
  Speaker 1: we know what's in front of us, but you know,
• 1:23:10
  Speaker 1: you gotta take each each day as it comes. And
• 1:23:13
  Speaker 1: it's it's exactly why we did the show thirteam because
• 1:23:15
  Speaker 1: so many things changed throughout the season, and as they change,
• 1:23:19
  Speaker 1: our tactics have to change. Yeah, so let's let's zoom
• 1:23:22
  Speaker 1: out a little bit. Let's talk a little bit more
• 1:23:24
  Speaker 1: generally here again, thinking patterning deer, what is the most
• 1:23:30
  Speaker 1: common or the most egregious mistake that you see other
• 1:23:34
  Speaker 1: folks making when trying to pattern deer. You talked to
• 1:23:38
  Speaker 1: a million deer hunters, You've been exposed to the whole
• 1:23:40
  Speaker 1: community for decades. Now, what's that thing that you see
• 1:23:44
  Speaker 1: keep on popping up that just makes you scratch your
• 1:23:47
  Speaker 1: head or makes you want to, you know, shake somebody
• 1:23:49
  Speaker 1: by the shoulders and say, don't do that anymore. I
• 1:23:53
  Speaker 1: get asked this question a lot, and I answered consistently.
• 1:23:57
  Speaker 1: But I'll add to this answer in this question because
• 1:23:59
  Speaker 1: of the sub matter. Today, people underestimate the quarry. I
• 1:24:06
  Speaker 1: think white tails are so good at living that they're
• 1:24:11
  Speaker 1: almost impossible to go kill. They are so tough, and
• 1:24:14
  Speaker 1: again I'm speaking of mature bucks that have been around
• 1:24:18
  Speaker 1: the block. You take a six year old buck, and Buddy,
• 1:24:20
  Speaker 1: he's a tough, tough son of a gun to even
• 1:24:23
  Speaker 1: see during daylight. He's tough to take a picture of.
• 1:24:26
  Speaker 1: He's even tougher to see, and then you got to
• 1:24:28
  Speaker 1: have the capacity and the ability to kill him and
• 1:24:31
  Speaker 1: then make a good shot and all the things that
• 1:24:33
  Speaker 1: it's it's so hard to kill a giant. Okay, So
• 1:24:38
  Speaker 1: you couple that with what all they've been through and
• 1:24:42
  Speaker 1: the overall you know, health of the deer, and I
• 1:24:45
  Speaker 1: think people just group deer as a deer. A buck
• 1:24:50
  Speaker 1: is a buck is a buck. A deer is as
• 1:24:53
  Speaker 1: good as gonna be just as healthy this year as
• 1:24:56
  Speaker 1: he is next year. And I think they just the
• 1:25:00
  Speaker 1: side of the fact of all the things that are
• 1:25:03
  Speaker 1: affecting a white tailed deer on a daily basis. Imagine
• 1:25:06
  Speaker 1: what they go through on a daily basis. First of all,
• 1:25:08
  Speaker 1: we're trying to kill them. Second of all, you know,
• 1:25:11
  Speaker 1: they're dealing with all these different changes, all of a sudden,
• 1:25:14
  Speaker 1: as acorns everywhere one year, next year there's none. Uh,
• 1:25:17
  Speaker 1: we're going through a drought. This year. You've got the
• 1:25:19
  Speaker 1: h D hitting them, Kyle populations up. Holy cow, I
• 1:25:23
  Speaker 1: got harned in the side. I've got an infection starting.
• 1:25:26
  Speaker 1: I'm older. Oh I broke a leg. Oh oh, Trulie
• 1:25:30
  Speaker 1: got hit by a car. I mean, there's a lot
• 1:25:33
  Speaker 1: of different things that affect white tail behavior. And I
• 1:25:36
  Speaker 1: think people gloss over that, and they look at every
• 1:25:40
  Speaker 1: deer as a deer as a deer, and I think
• 1:25:42
  Speaker 1: there are as different as people are um and and
• 1:25:47
  Speaker 1: I will I will extend this answer into a general
• 1:25:51
  Speaker 1: lack of organization. If you're trying to pattern a deer.
• 1:25:54
  Speaker 1: There's nothing wrong with not being organized, because I know
• 1:25:57
  Speaker 1: guys that aren't, and they go out and there they
• 1:25:59
  Speaker 1: kill dandies every year because they they're just good and
• 1:26:02
  Speaker 1: their prowess is good, and they're they're skillful. But I
• 1:26:05
  Speaker 1: think people can help themselves if they're having an organizational
• 1:26:10
  Speaker 1: trade and they keep good notes and they keep all
• 1:26:13
  Speaker 1: their pictures. We all know this guy that's got a
• 1:26:16
  Speaker 1: handful of SD cards and he just went through all
• 1:26:19
  Speaker 1: of them and then he goes and puts them back
• 1:26:21
  Speaker 1: in his cameras and he never kept one picture off.
• 1:26:23
  Speaker 1: On one car cringe, there's duck, there's dust on them,
• 1:26:28
  Speaker 1: they're sitting in the truck, there's soda and coffee spilt
• 1:26:31
  Speaker 1: on them. You put him in the camera, they don't work.
• 1:26:34
  Speaker 1: You go to the camera the next time. You didn't
• 1:26:36
  Speaker 1: get any information. We all know that guy, right, And
• 1:26:40
  Speaker 1: I'm not knocking that guy, because he's got every right
• 1:26:43
  Speaker 1: to do that, as I have to be anal and
• 1:26:46
  Speaker 1: obsessive over it. But I do think a general approach
• 1:26:52
  Speaker 1: with more organization would help put people in better positions
• 1:26:56
  Speaker 1: more often. Yeah, he you know that, Mark, I do
• 1:27:02
  Speaker 1: know that guy taking by the shoulders. Next time you
• 1:27:05
  Speaker 1: see I will. Oh. I'm curious and I don't know
• 1:27:09
  Speaker 1: if there's many opportunities for you to have this happen anymore, Mark,
• 1:27:14
  Speaker 1: But can you think back to the last time that
• 1:27:18
  Speaker 1: you learned something from another really good deer hunter about
• 1:27:23
  Speaker 1: patterning deer, so specifically about this idea of patterning deer.
• 1:27:27
  Speaker 1: Is there someone you can think of who's really really
• 1:27:29
  Speaker 1: good at it. Do you have that buddy that is
• 1:27:32
  Speaker 1: as good or better than you at this and that
• 1:27:34
  Speaker 1: you said, oh, wow, you know that's a good idea,
• 1:27:36
  Speaker 1: or wow, I never thought of that. Is there anything
• 1:27:38
  Speaker 1: that comes to mind? Brother Terry? Um, we talk almost
• 1:27:45
  Speaker 1: daily during the deer season, and um, we just compare notes.
• 1:27:50
  Speaker 1: What are your deer doing? What are you seeing? I mean,
• 1:27:52
  Speaker 1: it's almost like coaches meeting or something, you know what
• 1:27:55
  Speaker 1: I mean. We just talk and we pick up stuff
• 1:27:59
  Speaker 1: from each other every day and I I love collective
• 1:28:04
  Speaker 1: UM strategizing, so myself, Wade, Perry, it is ad nauseam
• 1:28:10
  Speaker 1: for our wives Tracy Marista style like I. I think
• 1:28:16
  Speaker 1: if they had shock callers with controls, they would buzz
• 1:28:18
  Speaker 1: us every single dinner we have together during the deer
• 1:28:21
  Speaker 1: because it is all we talk about from the moment
• 1:28:24
  Speaker 1: we see each other in the morning. We're together usually
• 1:28:27
  Speaker 1: ten two hours a day, every day, seven days a
• 1:28:29
  Speaker 1: week deer hunt, deer season. But that collective thought comes
• 1:28:34
  Speaker 1: to really good UM decision making. I do it with Terry,
• 1:28:39
  Speaker 1: I do it with Wayne and Perry. I do it
• 1:28:41
  Speaker 1: with Josh and Carson. I do it with matt Um.
• 1:28:45
  Speaker 1: You know, Grant Woods, He's the all time goat as
• 1:28:48
  Speaker 1: far as I'm concerned when it comes to dear behavior
• 1:28:51
  Speaker 1: in the science of white tail deer, like Bobby Culvertson
• 1:28:54
  Speaker 1: Tracker John. There's certain people in my circle that I
• 1:28:57
  Speaker 1: talked to a lot, and I talked to him Um
• 1:29:00
  Speaker 1: as much as I can so that I can pull information.
• 1:29:03
  Speaker 1: I'm selfish, man. If there's something that somebody's gotten his mind,
• 1:29:07
  Speaker 1: I want it, you know, because it's it's going to
• 1:29:10
  Speaker 1: help you, and I'm happy to share it too. Like
• 1:29:12
  Speaker 1: I think the more we talk and the more communication
• 1:29:16
  Speaker 1: we have, the better we all get. It's why I
• 1:29:19
  Speaker 1: think your podcast is so popular. Uh, you're constantly trying
• 1:29:24
  Speaker 1: to teach. I think it's why, by and large, we've
• 1:29:27
  Speaker 1: survived thirty three years in the outdoor industry. I say
• 1:29:30
  Speaker 1: it all the time. We're not very good looking, we're
• 1:29:32
  Speaker 1: not very funny. We better be informational. So um, I'm
• 1:29:35
  Speaker 1: not saying you fit in that category. You know. I
• 1:29:41
  Speaker 1: think if you're trying to teach and your teachers learn right,
• 1:29:44
  Speaker 1: they're they're hungry for information. So I do it all
• 1:29:47
  Speaker 1: the time every day. I think that what just what
• 1:29:50
  Speaker 1: makes us better. And also I'm at a very interesting
• 1:29:55
  Speaker 1: time in my life because I'm fifty five, and I
• 1:29:58
  Speaker 1: think I forget as much every day as as I remember.
• 1:30:02
  Speaker 1: So therefar there are things that Wade and Perry will
• 1:30:04
  Speaker 1: tell me, you know, last year you were saying this,
• 1:30:07
  Speaker 1: and I'll be like, oh, yeah, that's right. I've forgotten
• 1:30:09
  Speaker 1: some of what I knew. And if people out there
• 1:30:12
  Speaker 1: that are in their fifties will relate to that comment.
• 1:30:14
  Speaker 1: So it's it's a little tongue in cheek, but it's honestly,
• 1:30:18
  Speaker 1: there's a little truth to that. So I use these guys,
• 1:30:21
  Speaker 1: I use their eyes and ears when we're in the blind,
• 1:30:23
  Speaker 1: and I'm starting to use their mind to remind me, hey,
• 1:30:26
  Speaker 1: what did we do in this situation when this occurred
• 1:30:30
  Speaker 1: last time? And they they have better memories than I do,
• 1:30:32
  Speaker 1: so uh, it's I think collective organization and collective thought
• 1:30:37
  Speaker 1: is a beautiful thing and it's gonna lead you down
• 1:30:39
  Speaker 1: really good paths in life, whether that be you know,
• 1:30:42
  Speaker 1: in terms of deer hunting, or whether that be in
• 1:30:44
  Speaker 1: terms of your business, or whether that is in terms
• 1:30:47
  Speaker 1: of relationship. I love communication on all facets, sports, life, religion, politics,
• 1:30:55
  Speaker 1: deer hunting, you name it. I'll sit and talk with
• 1:30:57
  Speaker 1: anybody for for hours, because man, just just be the
• 1:31:01
  Speaker 1: sponge out there and learn all you can. Yeah. Yeah,
• 1:31:03
  Speaker 1: I love that idea of collective decision making and it's
• 1:31:06
  Speaker 1: it's a lot of fun doing it that way. But
• 1:31:08
  Speaker 1: then also I do think, you know, like when you're
• 1:31:11
  Speaker 1: trying to figure out what this buck's pattern is, you
• 1:31:13
  Speaker 1: can sometimes get stuck in your own head or stuck
• 1:31:16
  Speaker 1: in your own assumptions. But if you just get one
• 1:31:18
  Speaker 1: other set of eyes on it all of a sudden,
• 1:31:20
  Speaker 1: they might notice the one thing that you never saw
• 1:31:22
  Speaker 1: there in the corner, but actually is the key to
• 1:31:24
  Speaker 1: the whole thing. So talking these things out, you know,
• 1:31:27
  Speaker 1: getting other perspectives on it can help you see the
• 1:31:30
  Speaker 1: larger pattern within the data sometimes. So that's such a
• 1:31:33
  Speaker 1: great point. Um, absolutely open mind. Right. We also know
• 1:31:37
  Speaker 1: that guy, we know that guy knows everything. You're not
• 1:31:40
  Speaker 1: gonna tell him anything. You've met him, you know, And
• 1:31:43
  Speaker 1: don't be that guy, you know, don't be the guy
• 1:31:47
  Speaker 1: that already knows it all, because that's the me I'm
• 1:31:51
  Speaker 1: learning every day I try to figure something out new.
• 1:31:54
  Speaker 1: I love that collective thought because you hit the nail
• 1:31:56
  Speaker 1: on the head man. You never know when somebody's gonna
• 1:31:58
  Speaker 1: bring something to the party that helps the collective group.
• 1:32:01
  Speaker 1: Last night, Wade shot the deer, but we all as
• 1:32:05
  Speaker 1: a group killed the deer. There were a lot of
• 1:32:08
  Speaker 1: different people that were involved in that moment, and we
• 1:32:12
  Speaker 1: were all there when we recovered him. And that's every
• 1:32:16
  Speaker 1: hunt in this camp. It takes a village and one
• 1:32:19
  Speaker 1: guy shoots it, but the whole village killed it. And
• 1:32:23
  Speaker 1: and and that's why it's so important to enjoy the
• 1:32:25
  Speaker 1: process going through it as you lead into the hunt,
• 1:32:29
  Speaker 1: and then after the hunt enjoy it together. That's what
• 1:32:32
  Speaker 1: makes this sport so cool. You get emotions and and
• 1:32:34
  Speaker 1: this unbelievable range of emotions and gratitude and happiness that
• 1:32:40
  Speaker 1: I can't find anywhere else in life. I've been looking,
• 1:32:42
  Speaker 1: but it doesn't exist. It's right out there in the
• 1:32:44
  Speaker 1: great outdoors. Man. It's so cool. There's some really, really
• 1:32:48
  Speaker 1: good stuff, that's for sure. I want to tie a
• 1:32:51
  Speaker 1: bow on this mark with one last question, and feel
• 1:32:54
  Speaker 1: free to take a second to kind of collect your
• 1:32:56
  Speaker 1: thoughts on this. But if, but if we had to
• 1:32:58
  Speaker 1: create right now, Mark Druries three rules to successfully patterning bucks.
• 1:33:05
  Speaker 1: If you had to have three statements, three things that
• 1:33:10
  Speaker 1: everyone's got to keep in mind, or that the three
• 1:33:12
  Speaker 1: rules they have to follow to become as good as
• 1:33:15
  Speaker 1: you are at patterning bucks, What would those three final
• 1:33:18
  Speaker 1: things be that we need to keep in our heads
• 1:33:20
  Speaker 1: this season. First and foremost, keep every single solid picture
• 1:33:26
  Speaker 1: you can um and then study them often. So pictures
• 1:33:31
  Speaker 1: are one part of the equation. Make sure that you
• 1:33:35
  Speaker 1: keep them all and then every single picture you look at,
• 1:33:38
  Speaker 1: ask why and then figure out why Even that two
• 1:33:42
  Speaker 1: year old did what he did, and that will help
• 1:33:44
  Speaker 1: you become better in the future. That's step one. Step two,
• 1:33:48
  Speaker 1: be a slave to the weather and everything you do
• 1:33:51
  Speaker 1: deer hunting. And I don't care if it's July one,
• 1:33:55
  Speaker 1: November one, or February one. Pay attention to the weather,
• 1:33:59
  Speaker 1: and pay attention to what you're doing, how it affects
• 1:34:01
  Speaker 1: the deer movement, how it affects your personality, your movement,
• 1:34:05
  Speaker 1: and be a slave to the weather. Uh. Number three,
• 1:34:09
  Speaker 1: when it comes to patterning, bucks, start taking really detailed
• 1:34:12
  Speaker 1: notes about mass crops, about um overall crop rotation, about
• 1:34:19
  Speaker 1: hunters habits. That's another thing you can pattern, not necessarily
• 1:34:22
  Speaker 1: the dear, when's your neighbor hunting? Uh? When am I
• 1:34:27
  Speaker 1: in your hunting? Am I being too patternable for this? Dear?
• 1:34:30
  Speaker 1: So analyze yourself and your environment and everyone around you
• 1:34:34
  Speaker 1: as much as you analyze the deer. If you do
• 1:34:36
  Speaker 1: those three things and then collectively add them all up
• 1:34:41
  Speaker 1: and try to create plans for the future, you're gonna
• 1:34:44
  Speaker 1: be a much better deer hunter and and and find
• 1:34:46
  Speaker 1: some rewards out there that you aren't finding now. Yeah, great,
• 1:34:50
  Speaker 1: great advice. I love this stuff. This is my favorite
• 1:34:53
  Speaker 1: thing to talk about. So so thanks for humoring me,
• 1:34:56
  Speaker 1: Mark and getting on here to talk through these things.
• 1:34:58
  Speaker 1: And I want to give a one last chance to
• 1:35:01
  Speaker 1: uh tell folks where they can connect with you, where
• 1:35:05
  Speaker 1: they can see all the great stuff you guys are
• 1:35:06
  Speaker 1: putting out. How can they find deer Cast? What do
• 1:35:09
  Speaker 1: we need to know about all those things? Absolutely deer
• 1:35:12
  Speaker 1: cast dot com. Best way to get it. We've got
• 1:35:14
  Speaker 1: a free version. We've got a version that's just prediction,
• 1:35:16
  Speaker 1: that's either nine or ten dollars. And now if you
• 1:35:18
  Speaker 1: want your environment a lot of things I've been talking
• 1:35:20
  Speaker 1: about here today, we've got a version that's that will
• 1:35:24
  Speaker 1: give you one stake's plat data or unlimited for for
• 1:35:27
  Speaker 1: seventy nine nine. So we've got a price point for
• 1:35:29
  Speaker 1: everybody from free up to seventy five bucks. Deer cast
• 1:35:32
  Speaker 1: dot com that you see everything in there, every social post,
• 1:35:35
  Speaker 1: every deer that gets killed, every every deer season twenty
• 1:35:38
  Speaker 1: two are semi live series. You can catch it there
• 1:35:41
  Speaker 1: or you can catch it on YouTube. Our staff is
• 1:35:43
  Speaker 1: doing an amazing job bringing the stories out within sometimes
• 1:35:46
  Speaker 1: within hours of when the deer goes down, or of
• 1:35:50
  Speaker 1: course Instagram, Facebook, YouTube, where wherever you can find there
• 1:35:53
  Speaker 1: outdoors we're there and happy to happy to talk to people.
• 1:35:56
  Speaker 1: We've got a team of people that are that are
• 1:35:59
  Speaker 1: just the best to the industry. In in my you know,
• 1:36:02
  Speaker 1: biased opinion, I just think our team is just amazing.
• 1:36:05
  Speaker 1: We you take what Matt and Taylor and Josh and
• 1:36:08
  Speaker 1: Carson and all our guys in St. Louis are doing,
• 1:36:12
  Speaker 1: and Wade and Perry and Forest and Ben, I mean,
• 1:36:14
  Speaker 1: they are really putting some unbelievable content out there for
• 1:36:18
  Speaker 1: people right now to and we stay in our lane.
• 1:36:20
  Speaker 1: We try to. We just stayed in our deer hunting
• 1:36:22
  Speaker 1: and turkey hunting lane and we try not to get
• 1:36:24
  Speaker 1: out of that. And you know, we try to love
• 1:36:26
  Speaker 1: up on people as much as they've loved on us. Yeah. Well,
• 1:36:29
  Speaker 1: you guys, UH continue to do world class work. I
• 1:36:33
  Speaker 1: love it. I've loved it for decades. I appreciate you, Mark,
• 1:36:36
  Speaker 1: and Uh. I personally appreciate you, you know, always being
• 1:36:39
  Speaker 1: willing to hop on here and chat and to answer
• 1:36:42
  Speaker 1: my questions and to help sew so many people out.
• 1:36:45
  Speaker 1: So thank you, thank you, Thank you absolutely. Mark. You're
• 1:36:49
  Speaker 1: You're not the guy at the bar that I get
• 1:36:50
  Speaker 1: to see every day. You're that guy I get to
• 1:36:52
  Speaker 1: talk to once or twice a year, and well, I
• 1:36:55
  Speaker 1: can't wait to hear some some more stories from me
• 1:36:58
  Speaker 1: down the road once you close the distance again on
• 1:37:01
  Speaker 1: that big guy who evaded you the other night, or
• 1:37:03
  Speaker 1: one of these other guys. So it's a good luck,
• 1:37:04
  Speaker 1: my friend. I appreciate you, Mark, good luck out there.
• 1:37:07
  Speaker 1: Be safe and that's a rap. Thank you for listening.
• 1:37:12
  Speaker 1: I hope you enjoyed that one. I hope that you,
• 1:37:15
  Speaker 1: just like me, are going to be studying some trail
• 1:37:18
  Speaker 1: camera photos tonight or maybe looking back on your journal
• 1:37:20
  Speaker 1: of observations and thinking, m, what is this son of
• 1:37:24
  Speaker 1: a buck gonna do? I am looking forward to it.
• 1:37:28
  Speaker 1: I appreciate you, dear. Season is here. This is the
• 1:37:31
  Speaker 1: good stuff, my friends. I'm having a blast. I hope
• 1:37:35
  Speaker 1: you are as well. And until next time, stay wired
• 1:37:40
  Speaker 1: to hunt.