WEBVTT - Ep. 585: A Masterclass on Patterning Bucks with Mark Drury

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<v Speaker 1>Welcome to the Wired to Hunt podcast, home of the

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<v Speaker 1>modern white tail hunter and now your host, Mark Kenyon.

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<v Speaker 1>Welcome to the Wired to Hunt podcast. I'm your host,

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<v Speaker 1>Mark Kenyon, and today in the show, I am joined

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<v Speaker 1>by the mad scientist, the greatest of all times, some say,

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<v Speaker 1>Mark Drury, for an absolute masterclass on the art of

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<v Speaker 1>patterning bucks. All right, welcome to the Wired to Hunt podcast,

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<v Speaker 1>brought to you by First Light. It's good to be here.

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<v Speaker 1>I'm very very excited. We have got a great episode

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<v Speaker 1>for you today and it is kicking off a series.

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<v Speaker 1>This has been the year of series. It's been a

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<v Speaker 1>fun way to organize our months as we've gone throughout

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<v Speaker 1>the year. And after killing my buck last week in Chigan,

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<v Speaker 1>I spent some time thinking about what, you know, what

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<v Speaker 1>led to that success? What was I doing? What was

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<v Speaker 1>I geeking out about? And it was really patterning. I

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<v Speaker 1>was having so much fun looking at all the data,

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<v Speaker 1>thinking through what are these deer doing and why are

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<v Speaker 1>they doing it? And where are they going to do

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<v Speaker 1>it again? And when are they going to do it again?

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<v Speaker 1>And all that was part of what led me to

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<v Speaker 1>you know, hunting where I did and killing that buck

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<v Speaker 1>the way that I did, and I got to think

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<v Speaker 1>there's a whole lot more we could be discussing on

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<v Speaker 1>this idea of patterning bucks, and the month of October

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<v Speaker 1>is a great month to pattern a buck. So October

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<v Speaker 1>is the month of the pattern and we're going to

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<v Speaker 1>kick that off. If we don't include last week's which

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<v Speaker 1>was kind of like a soft kickoff today, the real

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<v Speaker 1>kickoff of this month is this masterclass with Mark Drewy.

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<v Speaker 1>You should all know Mark. He's been the podcast many times.

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<v Speaker 1>He's one of the co founders of Drewy Outdoors, host

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<v Speaker 1>of many different deer hunting TV shows. You can find

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<v Speaker 1>him on the deer Cast app, the Dury Outdoors YouTube channel,

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<v Speaker 1>all over the place, and he is an absolute wealth

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<v Speaker 1>of information. And there's two things that I think he

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<v Speaker 1>specializes in, maybe three, but one of them is really

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<v Speaker 1>dissecting and deep dive understanding how environmental and weather factors

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<v Speaker 1>impact dear movement. We've talked to him several times deep

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<v Speaker 1>on that topic. But another one that we haven't gone

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<v Speaker 1>quite deep on in the past is patterning deer. How

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<v Speaker 1>he kind of collects and analyzes data about specific deer

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<v Speaker 1>and then helps develop a pattern of what they're gonna

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<v Speaker 1>do and when they're gonna do it, so he can

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<v Speaker 1>be there to get a shot when they do. And

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<v Speaker 1>that is our topic today. We go into all facets

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<v Speaker 1>of patterning deer, everything from how he collects the data

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<v Speaker 1>to how he correlates different factors with his observations and pictures,

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<v Speaker 1>all the way to how he chooses when to actually

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<v Speaker 1>act on that stuff and try to take a shot

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<v Speaker 1>at these deer. We talk early season patterning, we talked

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<v Speaker 1>learning during the rut, we talk late season, all sorts

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<v Speaker 1>of stuff in between. This is a banger episode. And

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<v Speaker 1>if you want to kill a deer this month in October,

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<v Speaker 1>shoot even if you want to kill in November or December,

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<v Speaker 1>you're gonna learn something today that will help you do it.

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<v Speaker 1>I loved it. I think you will too. I want

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<v Speaker 1>to give you a couple of quick updates before I

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<v Speaker 1>let you go. H one. The final episode of my

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<v Speaker 1>show Deer Country drops this week, so if you haven't yet,

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<v Speaker 1>headed over to the Meteor YouTube channel and check out.

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<v Speaker 1>Deer Country is the six episode series that documented my

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<v Speaker 1>hunts last year as I traveled the country, met with

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<v Speaker 1>different regional experts, sent spent one day learning from them

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<v Speaker 1>in their neck of the woods, and then I spent

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<v Speaker 1>the next three days to seeing if I could replicate

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<v Speaker 1>their style in their general area and pull it off myself.

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<v Speaker 1>This last episode was all about looking behind the curtain

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<v Speaker 1>of how you know folks in the Midwest managed for

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<v Speaker 1>Big Deer and actually in this case run an outfitting situation.

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<v Speaker 1>Very interesting, very new kind of situation for me. I

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<v Speaker 1>would love it if you could check it out. So

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<v Speaker 1>that's number one. Number two. This is a big one

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<v Speaker 1>this week. If you're listening to this when we dropped

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<v Speaker 1>this episode, this episode is coming out October. If you're

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<v Speaker 1>listening on October two or the next couple of days afterwards,

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<v Speaker 1>I want you to know that this week is meat

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<v Speaker 1>Eaters white Tail Week. We got a whole lot of

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<v Speaker 1>exciting stuff happening when it comes to white tails at Metator.

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<v Speaker 1>One of them his first Lights white Tail Sale, all

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<v Speaker 1>of first Lights white Tail gear. Inspector is off off

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<v Speaker 1>any of that first Light white Tail stuff you might need,

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<v Speaker 1>the Catalyst, the Solitude, whatever. Check it out if you're

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<v Speaker 1>in need of some last minute stuff. Twenty off Number

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<v Speaker 1>two Phelps game Calls. It is the game call company

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<v Speaker 1>that's part of metator right. They've done duck calls, they've

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<v Speaker 1>done elk calls, they've done turkey calls. This week they're

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<v Speaker 1>launching year calls. We've got a bunch of new grunt

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<v Speaker 1>tubes Fond Distress call bleats uh I personally have really

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<v Speaker 1>been liking and using the Beta Pro and the Alpha

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<v Speaker 1>I believe in the names of these two grunt tubes.

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<v Speaker 1>I've gotten to test them so far this year. I

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<v Speaker 1>really like the sound. There's some really good things with them.

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<v Speaker 1>I'll get into more detail in these calls in the future,

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<v Speaker 1>but just a heads up. Phelps has got new grunt tubes.

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<v Speaker 1>If you need a grunt tube, this is worth checking out.

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<v Speaker 1>More to come later. If you have been thinking about

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<v Speaker 1>this kind of stuff, this is probably going to be

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<v Speaker 1>one of the best opportunities. You've got to do it

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<v Speaker 1>to get it for cheap, so heads up on those

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<v Speaker 1>type of things. There's several of the Deer's deals from

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<v Speaker 1>timber Ninja, there's discounts on our white tail logo where

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<v Speaker 1>there's uh she, some deals from f HF. There's a

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<v Speaker 1>lot going on. I don't want to drag us out anymore,

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<v Speaker 1>but Mediator Whitetail Week is going on to October six.

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<v Speaker 1>Heading over to the mediator dot com, go to the

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<v Speaker 1>Mediator store, go to first let dot com. You're gonna

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<v Speaker 1>find it all their good stuff. And that's it for me.

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<v Speaker 1>That's my only other update. We got a master class

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<v Speaker 1>to get too, folks. So enough of me jabbering on

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<v Speaker 1>h I love patterning bocks. I love this stuff. I

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<v Speaker 1>love nording out on the data on what these deer

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<v Speaker 1>we're doing and what they might do, on where I

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<v Speaker 1>should be to maybe take advantage of it. It's so

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<v Speaker 1>much fun. And Mark Jury is just one of my favorites.

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<v Speaker 1>I love this guy. I love his approach. Uh, I

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<v Speaker 1>have nothing else to say. Let's get to it. Mark

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<v Speaker 1>Jury on the podcast master Class Patterning Box one. Dud.

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<v Speaker 1>They go all right back with me. We have the

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<v Speaker 1>great privilege of having Mr Mark Drury on this show. Mark,

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<v Speaker 1>thank you for coming back on the show. It's my pleasure.

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<v Speaker 1>Thank you for having me. How are you doing this morning, Mark?

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<v Speaker 1>I'm really good. I'm really good. I fill the bucktagon

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<v Speaker 1>Michigan opening night. I went to Ohio and did some

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<v Speaker 1>scouting yesterday, so I'm I'm just basking in the glory

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<v Speaker 1>of deer season, man, pick here you in the family.

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<v Speaker 1>I mean that that really put a smile on my face.

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<v Speaker 1>And I know your smile is probably still there from

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<v Speaker 1>that moment. That was pretty awesome, dude. It was it

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<v Speaker 1>was the first time that the whole family could be

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<v Speaker 1>together for that and um my, my the first track

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<v Speaker 1>job for my youngest So I'm a two year old,

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<v Speaker 1>so so yeah, super cool. And it was funny after

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<v Speaker 1>we recovered that. Buck, We're all sitting there together, and

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<v Speaker 1>my oldest son ever, he's four, he kind of turns

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<v Speaker 1>and looks at the family and he like shouts, like

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<v Speaker 1>really loud. He says, it's our first family Buck. I

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<v Speaker 1>loved it. I just loved you. That's a true statement,

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<v Speaker 1>those bucks. You know, the family allows you the time

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<v Speaker 1>and allows you to have the passion you allow right

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<v Speaker 1>that you have. So that's a cool thing when they

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<v Speaker 1>get who you are and embrace it. Uh, it's a

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<v Speaker 1>beautiful thing. When they don't, it's it's a rough, rough

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<v Speaker 1>time for most others. Because I've known guys like that

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<v Speaker 1>and I'm sure you do too, where the bouse or

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<v Speaker 1>the children and probably maybe get a little jealous over

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<v Speaker 1>the time and the selfishness that we all have when

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<v Speaker 1>it comes to this time of the year. So you're

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<v Speaker 1>blessed to have a family that is aware of your

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<v Speaker 1>passion and embraces it. Yeah, very very very true. Uh,

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<v Speaker 1>speaking of things worth celebrating, I saw that you had

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<v Speaker 1>a pretty exciting night last night too, and probably late night.

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<v Speaker 1>So I gotta thank you again for for hopping on

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<v Speaker 1>the phone here this morning after what seemed like a

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<v Speaker 1>pretty uh eventful night. Can you uh, can you fill

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<v Speaker 1>us in on what happened? Dude? It was such a

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<v Speaker 1>cool day yesterday. I did an interview in the Blind

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<v Speaker 1>and I had intel on a really nice dear that

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<v Speaker 1>I was in on last night, Wade, which is the

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<v Speaker 1>one you're referring to. I had intel on him, and

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<v Speaker 1>Terry had intel on a giant. So all three of

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<v Speaker 1>these deer like one plus type deer, and all three

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<v Speaker 1>of them were on them. And I did this interview

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<v Speaker 1>and I told Harry, I said, I don't ever recall

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<v Speaker 1>all where we had intel and all three of us

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<v Speaker 1>are on giants the same night, And I said, I

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<v Speaker 1>feel really good. Somebody's gonna kill And I said, I

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<v Speaker 1>think it's gonna be weighed because that buck. We had

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<v Speaker 1>a self picture of his going to bed that morning

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<v Speaker 1>at eight oh nine something like that, and he was

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<v Speaker 1>he was heading south out of the field or a

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<v Speaker 1>south wind, and the access to that spot is very good.

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<v Speaker 1>In fact, I don't know if you recall the deer

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<v Speaker 1>that I killed Leicester December twentieth. We called him the

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<v Speaker 1>fork buck, and he grows a little over one ninety. Well,

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<v Speaker 1>the last time that blind was sat was that night

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<v Speaker 1>December twenty, and then last night and then Wade killed

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<v Speaker 1>eight out of it. So the hit was just a

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<v Speaker 1>little bit back but quartering away. So I got opinions

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<v Speaker 1>from tracker John and Bobby Coverts in the same two

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<v Speaker 1>guys that are in deer cast track, you know, giving

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<v Speaker 1>me advice in there on track jobs. And we waited

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<v Speaker 1>the appropriate time and then took up the trail. And

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<v Speaker 1>you're right. It was a late night. The deer travel

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<v Speaker 1>about five or six hundred yards, but we found him

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<v Speaker 1>dead in this first bed on a really good blood trail.

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<v Speaker 1>It went stomach, liver, lung, and uh, the celebration began

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<v Speaker 1>and then all the of course, all the work begins.

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<v Speaker 1>So I went to bed about about two thirty and

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<v Speaker 1>I was I still saw three o'clock UM last night,

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<v Speaker 1>and then I woke up this morning about six thirty

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<v Speaker 1>the normal times, so it was it was a sharp night.

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<v Speaker 1>But you know what, that's what, that's what we do,

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<v Speaker 1>and we love it. We live for those nights, you know,

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<v Speaker 1>we live for those because no sleep nights. You know,

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<v Speaker 1>who cares about a night where you get seven or

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<v Speaker 1>eight hours? I'll take those two our rights every time.

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<v Speaker 1>That's what. That's the good problem to have right there.

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<v Speaker 1>You you want to have reason to miss sleep this

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<v Speaker 1>time of year, big time, big time. And it was

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<v Speaker 1>Wade's biggest deer. It was a main frame eight point

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<v Speaker 1>and it had ten kickers, so it had eight team

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<v Speaker 1>total score for points. It was a six and a

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<v Speaker 1>half year old deer. And the cool thing about this deer,

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<v Speaker 1>and it really really kind of blends into what we're

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<v Speaker 1>talking about today. When this deer was four and a

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<v Speaker 1>half in two thousand and twenty, I had a few

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<v Speaker 1>pictures of him scattered throughout the fall on this tractor ground.

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<v Speaker 1>This farm is about four acres. It's right on a

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<v Speaker 1>major highway. I lose deer to the highway and um

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<v Speaker 1>I had a sprinkling of pictures, So I didn't consider

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<v Speaker 1>him like one of those dear you know how it is.

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<v Speaker 1>You could get him every day and you're like, hey,

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<v Speaker 1>it's a homeboy. And I never considered homeboy. Last year

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<v Speaker 1>and that year he was probably a hundred high thirties

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<v Speaker 1>type eight point, but he wore it well. He had

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<v Speaker 1>that white friend. Last year he was probably high forties,

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<v Speaker 1>low fifties. Had him all summer. I got one hard

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<v Speaker 1>hearted pick and he vanished, I mean gone. And all

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<v Speaker 1>year I kept waiting to get a picture of him,

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<v Speaker 1>had more cameras out, couldn't get him. And all of

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<v Speaker 1>a sudden, late December, he shows back up, and I

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<v Speaker 1>was like that son of a gun, he left the

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<v Speaker 1>entire fall, at least presumably left. I didn't have I

0:12:00.080 --> 0:12:02.640
<v Speaker 1>didn't have photography of him. We hunted the farm a

0:12:02.640 --> 0:12:05.640
<v Speaker 1>good bit that was where the four buck lived lived,

0:12:06.120 --> 0:12:08.840
<v Speaker 1>and I never saw the buck, never encountered him. I

0:12:09.000 --> 0:12:12.360
<v Speaker 1>just assumed he was dead from the highway or another hunter.

0:12:12.440 --> 0:12:14.959
<v Speaker 1>There's a lot of pressure around that farm. And then

0:12:14.960 --> 0:12:19.560
<v Speaker 1>he shows back up late December. So this summer, when

0:12:19.559 --> 0:12:23.160
<v Speaker 1>he showed up in Velvet, we knew he was a giant,

0:12:23.280 --> 0:12:25.120
<v Speaker 1>you know, right away I guess the deer in the

0:12:25.160 --> 0:12:28.480
<v Speaker 1>one eighties somewhere and I'm like, oh, that's that's the

0:12:28.520 --> 0:12:33.240
<v Speaker 1>deer that disappeared last year. And uh, you know, this

0:12:33.320 --> 0:12:35.880
<v Speaker 1>year he shed his velvet. I got more pictures and

0:12:35.920 --> 0:12:40.120
<v Speaker 1>I'm like, he's sticking around. But in my heart, I

0:12:40.200 --> 0:12:44.120
<v Speaker 1>was like, this year is gonna again transferred to a

0:12:44.200 --> 0:12:48.440
<v Speaker 1>fall range in my opinion, which I I eventually talked

0:12:48.480 --> 0:12:51.200
<v Speaker 1>to a gentleman that that had the buck off all

0:12:52.160 --> 0:12:55.240
<v Speaker 1>and they passed him, uh because because he was an

0:12:55.240 --> 0:12:57.680
<v Speaker 1>eight point and they were on another different target deer.

0:12:58.240 --> 0:13:00.760
<v Speaker 1>That farm is probably a mile all mile and a

0:13:00.800 --> 0:13:03.520
<v Speaker 1>half east of mind. So my assumption was he was

0:13:03.559 --> 0:13:07.040
<v Speaker 1>again going to switch home ranges this year or fall ranges,

0:13:07.880 --> 0:13:10.880
<v Speaker 1>and that's why when he stuck around, we made an

0:13:10.920 --> 0:13:16.160
<v Speaker 1>extra effort to get on with cell cams and and

0:13:16.240 --> 0:13:19.040
<v Speaker 1>the food plots that he was using went back to

0:13:19.120 --> 0:13:22.240
<v Speaker 1>when he was for researched where he was the most,

0:13:22.679 --> 0:13:25.400
<v Speaker 1>and ended up killing him in one of those two

0:13:25.440 --> 0:13:27.880
<v Speaker 1>fields where he was at the most what he was

0:13:27.920 --> 0:13:31.880
<v Speaker 1>there during this period. So it really speaks to exactly

0:13:31.880 --> 0:13:36.440
<v Speaker 1>what we're talking about, how patentable they can be when

0:13:36.480 --> 0:13:40.079
<v Speaker 1>their home range overlays from one year to the next,

0:13:40.120 --> 0:13:43.439
<v Speaker 1>they really do a lot of the same things. So yeah,

0:13:43.480 --> 0:13:45.319
<v Speaker 1>so this is a this is a great example, and

0:13:45.360 --> 0:13:47.600
<v Speaker 1>maybe we can kind of dial in on a few

0:13:47.640 --> 0:13:51.200
<v Speaker 1>things with this story. You know, the focus I really

0:13:51.200 --> 0:13:54.600
<v Speaker 1>am hoping to dive into is just everything on how

0:13:54.679 --> 0:13:56.920
<v Speaker 1>you pattern these bucks mark And the first thing I'm

0:13:56.920 --> 0:13:59.600
<v Speaker 1>wondering with with a buck like this or any deer,

0:14:00.200 --> 0:14:03.520
<v Speaker 1>when do you start the patterning process? Like when does

0:14:03.520 --> 0:14:06.559
<v Speaker 1>a buck show up on your radar and you say, okay,

0:14:06.559 --> 0:14:09.120
<v Speaker 1>this is what we have to you know, we're gonna

0:14:09.200 --> 0:14:12.160
<v Speaker 1>label him as X, or we're gonna create a folder,

0:14:12.320 --> 0:14:14.280
<v Speaker 1>or we're gonna you know, when does that start? Are

0:14:14.320 --> 0:14:16.600
<v Speaker 1>these two year old bucks a three year old bucks? Like?

0:14:16.920 --> 0:14:22.040
<v Speaker 1>When does the the file start getting developed? You know?

0:14:22.160 --> 0:14:24.000
<v Speaker 1>I have a lot of trail cameras, as you know,

0:14:24.600 --> 0:14:30.120
<v Speaker 1>and I run probably nine cells and another hundred and

0:14:30.200 --> 0:14:35.720
<v Speaker 1>fifty normal reconics cameras annually. Now that's across three states,

0:14:35.800 --> 0:14:38.200
<v Speaker 1>has crossed a lot of different farms and leases and

0:14:38.240 --> 0:14:41.560
<v Speaker 1>so and so forth. And I will answer that question

0:14:41.600 --> 0:14:45.160
<v Speaker 1>by this. I have a a file of photos that

0:14:45.280 --> 0:14:49.560
<v Speaker 1>starts in two thousand and seven that includes every racked

0:14:49.600 --> 0:14:52.520
<v Speaker 1>buck I've ever taken a photo of and every photo

0:14:52.560 --> 0:14:55.000
<v Speaker 1>of that rack buck from the time that they are

0:14:55.040 --> 0:14:58.320
<v Speaker 1>two and a half until they disappear or we kill

0:14:58.400 --> 0:15:01.120
<v Speaker 1>them or whatever. So I try to start putting a

0:15:01.120 --> 0:15:04.280
<v Speaker 1>pattern on them the moment they have a decent rap

0:15:04.320 --> 0:15:06.080
<v Speaker 1>and if it's a year and a half old, that

0:15:06.080 --> 0:15:08.520
<v Speaker 1>that shows real promise. You know, you know, I don't

0:15:08.560 --> 0:15:11.440
<v Speaker 1>keep spikes in four corns and six points and that stuff.

0:15:11.640 --> 0:15:13.400
<v Speaker 1>But if it's a year and a half, that shows

0:15:13.440 --> 0:15:15.800
<v Speaker 1>real promise. I keep files on them as well. So

0:15:16.400 --> 0:15:19.640
<v Speaker 1>you know, my my entire fall is just swallowed up

0:15:19.840 --> 0:15:23.320
<v Speaker 1>looking at photography. I don't know how many pictures I'm

0:15:23.320 --> 0:15:25.600
<v Speaker 1>at now. I mean, I used to always feel like

0:15:25.640 --> 0:15:27.400
<v Speaker 1>I was at a million, but I'll bet you i'm

0:15:27.480 --> 0:15:30.560
<v Speaker 1>one point five to two million photos annually. Of that,

0:15:30.600 --> 0:15:35.120
<v Speaker 1>I'll keep maybe a hunter thousand. And I've got those

0:15:35.160 --> 0:15:38.800
<v Speaker 1>all stored in in my computer and in hard drives

0:15:38.840 --> 0:15:42.880
<v Speaker 1>from OS seven through present day. Oh that's a lot

0:15:43.680 --> 0:15:46.040
<v Speaker 1>I've got. I've got like nine different directions we could

0:15:46.040 --> 0:15:49.040
<v Speaker 1>go with this, and I'm not sure where where I

0:15:49.120 --> 0:15:55.880
<v Speaker 1>want to. I'm like, I'm like the child that's addicted

0:15:55.920 --> 0:15:58.880
<v Speaker 1>to candy that goes to Willy Wonka's candy shop, you know,

0:15:59.000 --> 0:16:01.080
<v Speaker 1>and just sees every thing all around him that he

0:16:01.120 --> 0:16:03.480
<v Speaker 1>wants to that he wants to have. I wanted this

0:16:03.560 --> 0:16:05.840
<v Speaker 1>is like the thing I nerd out about the most too,

0:16:06.200 --> 0:16:09.640
<v Speaker 1>So I guess, I guess let's just jump into something

0:16:09.680 --> 0:16:12.440
<v Speaker 1>you just said right there, which was you have a

0:16:12.520 --> 0:16:15.320
<v Speaker 1>hundred thousand pictures that you might be keeping, and you

0:16:15.360 --> 0:16:19.200
<v Speaker 1>are keeping photos of bucks from the time they're noticeably

0:16:19.480 --> 0:16:21.880
<v Speaker 1>you know, unique, So maybe oftentimes that's two and a

0:16:21.880 --> 0:16:24.800
<v Speaker 1>half years old. When you get a deer like this

0:16:24.840 --> 0:16:27.880
<v Speaker 1>one that Wade was on, and you realize, okay, this

0:16:27.920 --> 0:16:30.640
<v Speaker 1>was a buck that you know, we noticed last year,

0:16:30.680 --> 0:16:32.920
<v Speaker 1>we passed him. Now this year he's back and he's

0:16:33.040 --> 0:16:37.840
<v Speaker 1>he's definitely want to shoot. How do you go about

0:16:38.240 --> 0:16:40.560
<v Speaker 1>sorting through everything you had, Like, how do you make

0:16:41.200 --> 0:16:43.080
<v Speaker 1>how do you find all the past pictures of his?

0:16:43.200 --> 0:16:46.480
<v Speaker 1>How do you have it organized so you can then see, Okay,

0:16:46.520 --> 0:16:49.480
<v Speaker 1>here's all the photos of this buck. Here's the way

0:16:49.520 --> 0:16:52.480
<v Speaker 1>I'm going to think through pictures from last year versus

0:16:52.600 --> 0:16:57.560
<v Speaker 1>this year. How are you able to find it, compile

0:16:57.600 --> 0:16:59.640
<v Speaker 1>it in a way you can actually analyze and then

0:16:59.680 --> 0:17:01.760
<v Speaker 1>make the scissions from Given the fact that you have

0:17:01.960 --> 0:17:05.080
<v Speaker 1>just so much out there already to sort through. I

0:17:05.119 --> 0:17:07.320
<v Speaker 1>guess my big big questions, how do you sort through

0:17:07.320 --> 0:17:12.160
<v Speaker 1>and find the most important pieces within a haypile. It's

0:17:12.200 --> 0:17:15.000
<v Speaker 1>it's it is a haypop because it's a time consuming

0:17:15.640 --> 0:17:18.720
<v Speaker 1>deal to go through and and and find him again.

0:17:18.800 --> 0:17:23.119
<v Speaker 1>Because I have in Iowa, I probably have you know,

0:17:23.440 --> 0:17:27.920
<v Speaker 1>fifty different locations within reconics buckfew. And that's the program

0:17:27.920 --> 0:17:30.080
<v Speaker 1>I've used in so seven and it it has served

0:17:30.080 --> 0:17:33.840
<v Speaker 1>me quite well. Um, and you know, so I will

0:17:33.960 --> 0:17:38.119
<v Speaker 1>I would designate a farm, call it the the this farm,

0:17:38.119 --> 0:17:41.240
<v Speaker 1>for instance, call it the two seven, all right, because

0:17:41.240 --> 0:17:44.239
<v Speaker 1>this track was two fifty seven. I eventually I bought it,

0:17:45.440 --> 0:17:48.040
<v Speaker 1>uh and attached it to a one sixties that I owned,

0:17:48.080 --> 0:17:50.520
<v Speaker 1>So now it's four seventeen. But this particular pieces two

0:17:51.080 --> 0:17:52.919
<v Speaker 1>seven acres, So I have it in there as the

0:17:52.960 --> 0:17:57.520
<v Speaker 1>two seven. I have a long bottom file. I have

0:17:57.760 --> 0:18:00.200
<v Speaker 1>to fifty seven ridge. I've got every different can camera

0:18:00.640 --> 0:18:05.040
<v Speaker 1>on that farm label accordingly. And then as I look

0:18:05.080 --> 0:18:07.080
<v Speaker 1>at the cards and as I look at the pictures,

0:18:07.560 --> 0:18:11.119
<v Speaker 1>I am shuffling them into all those different files so

0:18:11.359 --> 0:18:14.760
<v Speaker 1>I can go back, you know, to thirteen, fourteen, fifteen

0:18:14.840 --> 0:18:19.399
<v Speaker 1>whatever year it is, and and look at that particular

0:18:19.480 --> 0:18:23.879
<v Speaker 1>camera area and see how the how the deer deer moved,

0:18:23.920 --> 0:18:26.919
<v Speaker 1>and then I can start finding that buck once he

0:18:26.960 --> 0:18:30.359
<v Speaker 1>appeared within that farm and find out what days he

0:18:30.560 --> 0:18:33.440
<v Speaker 1>daylight and when he was there, so and so forth.

0:18:33.520 --> 0:18:36.960
<v Speaker 1>So I don't then peel him out and create a

0:18:36.960 --> 0:18:40.040
<v Speaker 1>following him. Sometimes I do, but that's not the file

0:18:40.119 --> 0:18:43.520
<v Speaker 1>I'm looking at. I'm looking at all the other aspects

0:18:43.560 --> 0:18:48.400
<v Speaker 1>that might affect a deer's movement during daylight, So I'm

0:18:48.400 --> 0:18:52.840
<v Speaker 1>looking for other deer um. I have notes within deer

0:18:52.880 --> 0:18:57.560
<v Speaker 1>cast our app as to what the uh crop rotation

0:18:57.760 --> 0:19:00.879
<v Speaker 1>was on that field or in that area, not only

0:19:00.920 --> 0:19:04.840
<v Speaker 1>on my farm, but on the outlying farms. I have

0:19:05.040 --> 0:19:09.240
<v Speaker 1>files of the weather data from those years, so that

0:19:09.720 --> 0:19:13.199
<v Speaker 1>if I find a daylight picture, call it when he

0:19:13.280 --> 0:19:15.439
<v Speaker 1>was four and a half years old and two thousand

0:19:15.480 --> 0:19:18.160
<v Speaker 1>and twenty, and I find two or three in a row,

0:19:18.680 --> 0:19:22.040
<v Speaker 1>I can go back and research what was the weather like,

0:19:22.600 --> 0:19:25.240
<v Speaker 1>what was the food like, what was the mass crop like,

0:19:25.720 --> 0:19:28.640
<v Speaker 1>what was the rainfall like, and then start to put

0:19:28.680 --> 0:19:32.240
<v Speaker 1>together why he did what he did. So it's it's

0:19:32.320 --> 0:19:35.200
<v Speaker 1>data at a fairly high level, but that's how we're

0:19:35.240 --> 0:19:38.080
<v Speaker 1>killing them. And I do these deep guys. When we

0:19:38.119 --> 0:19:40.480
<v Speaker 1>get a target buck, I go backwards in my file.

0:19:40.600 --> 0:19:44.359
<v Speaker 1>So that's why it's important that I keep every single

0:19:44.520 --> 0:19:48.240
<v Speaker 1>rack Buck photo because you're building that buck's history and

0:19:48.320 --> 0:19:51.919
<v Speaker 1>that buck's life. And then when he if he stays

0:19:51.960 --> 0:19:53.840
<v Speaker 1>around and if he gets the five or six, and

0:19:53.960 --> 0:19:57.120
<v Speaker 1>if he becomes a target, which by and large most

0:19:57.160 --> 0:20:00.000
<v Speaker 1>do not. They fall off the map at age three

0:20:00.280 --> 0:20:03.000
<v Speaker 1>h four eag. You know, through time, you lose a

0:20:03.000 --> 0:20:06.080
<v Speaker 1>lot or they they're there here today, gone tomorrow. They're

0:20:06.080 --> 0:20:08.320
<v Speaker 1>on a walk about outside of their home range. You

0:20:08.359 --> 0:20:11.159
<v Speaker 1>get pictures and I keep them just in case they

0:20:11.160 --> 0:20:13.520
<v Speaker 1>walk about again. But a deer that is a semi

0:20:13.600 --> 0:20:16.919
<v Speaker 1>homeboy like this, I had some pretty good data points

0:20:16.960 --> 0:20:19.440
<v Speaker 1>that I could go back on and and and figure

0:20:19.520 --> 0:20:22.320
<v Speaker 1>him out. So and he really wasn't that hard to

0:20:22.320 --> 0:20:26.359
<v Speaker 1>figure out because he was so so confined. Two spots

0:20:27.160 --> 0:20:33.920
<v Speaker 1>that were in both years, uh we're bean fields. Actually

0:20:34.240 --> 0:20:36.080
<v Speaker 1>in two thousand and twenty, he who was on a

0:20:36.119 --> 0:20:39.800
<v Speaker 1>bean field that I did a green to green transfer,

0:20:39.880 --> 0:20:41.280
<v Speaker 1>and then he did it again this year and that's

0:20:41.320 --> 0:20:43.960
<v Speaker 1>where he killed him. The other field where Wade and

0:20:44.040 --> 0:20:45.760
<v Speaker 1>counteredy mat the end of the night, which is only

0:20:45.760 --> 0:20:48.239
<v Speaker 1>about two yards from where he killed him, is a

0:20:48.280 --> 0:20:50.879
<v Speaker 1>big ridge field that they love to go bed on

0:20:50.880 --> 0:20:53.080
<v Speaker 1>this north face on hot days. That's the other thing

0:20:53.119 --> 0:20:56.239
<v Speaker 1>I learned about the farm. And then this bug. And

0:20:56.359 --> 0:20:59.520
<v Speaker 1>right below that there was a big giant bean field

0:20:59.520 --> 0:21:02.199
<v Speaker 1>and twenty and its beans again this year, so you know,

0:21:02.280 --> 0:21:04.560
<v Speaker 1>perhaps the crop rotation had something to do. And it

0:21:04.640 --> 0:21:06.840
<v Speaker 1>was also a good acrn near in twenty and two.

0:21:07.040 --> 0:21:10.760
<v Speaker 1>So all of those things come into play um when

0:21:10.800 --> 0:21:13.120
<v Speaker 1>it when it comes time to kill a deer, So

0:21:13.440 --> 0:21:17.560
<v Speaker 1>it's not about the deer always, it's also about the

0:21:17.680 --> 0:21:20.119
<v Speaker 1>environment and that's one of the reasons we did the

0:21:20.160 --> 0:21:23.080
<v Speaker 1>things we did within deer cast. You know, we we've

0:21:23.119 --> 0:21:26.159
<v Speaker 1>always had the predictive bottle. We extended that to fourteen

0:21:26.240 --> 0:21:28.600
<v Speaker 1>days this year. But this year we came up with

0:21:28.680 --> 0:21:32.159
<v Speaker 1>our mapping solutions. Well within that, we have the wind,

0:21:32.240 --> 0:21:35.560
<v Speaker 1>and we have mass crop, and we have overall rain

0:21:35.640 --> 0:21:39.560
<v Speaker 1>with our rain stations, all the things that people really

0:21:39.600 --> 0:21:42.160
<v Speaker 1>need to focus in on, I think to help them

0:21:42.160 --> 0:21:44.800
<v Speaker 1>take their game to the next level. So you know,

0:21:44.840 --> 0:21:47.600
<v Speaker 1>there's there's better mapping solutions out there. In my opinion,

0:21:47.640 --> 0:21:49.960
<v Speaker 1>I think there's absolute better mass. But I don't think

0:21:50.000 --> 0:21:52.679
<v Speaker 1>there's any out there with better tools to help you

0:21:52.760 --> 0:21:54.760
<v Speaker 1>kill a white tail than than what deer cast is.

0:21:54.800 --> 0:21:57.720
<v Speaker 1>We stayed in our lane and focus directly on the

0:21:57.720 --> 0:22:00.439
<v Speaker 1>white tail deer and the hunter and the armor that

0:22:00.480 --> 0:22:02.840
<v Speaker 1>they lived in. Yeah, that's some pretty cool stuff. I

0:22:02.880 --> 0:22:06.040
<v Speaker 1>love that rain gage feature. That is that one just

0:22:06.119 --> 0:22:08.240
<v Speaker 1>jumped out to me as gosh, I would die to

0:22:08.280 --> 0:22:10.879
<v Speaker 1>have that kind of information for over over the years

0:22:10.880 --> 0:22:14.880
<v Speaker 1>of food plots and whatnot, exactly like it's it's so

0:22:14.920 --> 0:22:20.000
<v Speaker 1>important to not only like our success. Like okay, basics.

0:22:20.320 --> 0:22:22.320
<v Speaker 1>I put the sea in the ground, I don't get rain,

0:22:22.359 --> 0:22:24.200
<v Speaker 1>it doesn't grow. I put the seed in the ground,

0:22:24.520 --> 0:22:27.680
<v Speaker 1>I get two tents of inch of rain. The seed swells,

0:22:27.720 --> 0:22:30.960
<v Speaker 1>it doesn't grow. I get a two inch rain. Holy cow,

0:22:31.040 --> 0:22:33.080
<v Speaker 1>I've got the best looking food plot I've ever had.

0:22:33.119 --> 0:22:36.239
<v Speaker 1>So that in it's the way we look at it,

0:22:36.480 --> 0:22:40.040
<v Speaker 1>you know, on the surfaces, like that's important to my success. Well,

0:22:40.520 --> 0:22:44.879
<v Speaker 1>what happened in April, May and June that this deer

0:22:45.160 --> 0:22:49.120
<v Speaker 1>grew forty five inches versus the last two years when

0:22:49.119 --> 0:22:51.080
<v Speaker 1>he was a one forty one fifty and all of

0:22:51.080 --> 0:22:55.120
<v Speaker 1>a sudden this year he's you know, well, guess what,

0:22:55.160 --> 0:22:58.240
<v Speaker 1>we had a wet spring. What happened five years ago?

0:22:58.720 --> 0:23:01.720
<v Speaker 1>We had a wet spring, and when he was a fawn,

0:23:02.160 --> 0:23:03.639
<v Speaker 1>he was off to a good start because we had

0:23:03.680 --> 0:23:07.400
<v Speaker 1>a tremendous acorn crop that year. So rainfall is so

0:23:07.440 --> 0:23:09.879
<v Speaker 1>important to the overall health of the herd. You know

0:23:09.920 --> 0:23:12.000
<v Speaker 1>what happens when we don't get the right amount of

0:23:12.040 --> 0:23:14.159
<v Speaker 1>rainfall here at the right times of the year, All

0:23:14.200 --> 0:23:16.399
<v Speaker 1>of a sudden you have the h D and that

0:23:16.560 --> 0:23:20.400
<v Speaker 1>affects overall daylight pictures and overall daylight movement. So I

0:23:20.440 --> 0:23:24.639
<v Speaker 1>think outside of just the um, the trail photos that

0:23:24.720 --> 0:23:28.479
<v Speaker 1>you keep, the notes you keep about your environment also

0:23:28.640 --> 0:23:33.160
<v Speaker 1>help you put patterns together through the decades because as

0:23:33.320 --> 0:23:35.920
<v Speaker 1>things occur. Now, Terry and I have been hunting long enough.

0:23:35.920 --> 0:23:38.640
<v Speaker 1>I'm fifty five. I started hunting when I was fifteen.

0:23:39.200 --> 0:23:42.560
<v Speaker 1>Terry sixty five. Well, we've seen many falls come and go.

0:23:43.080 --> 0:23:46.200
<v Speaker 1>We've seen great acorn crops, we've seen terrible ones. We've

0:23:46.200 --> 0:23:50.280
<v Speaker 1>seen crops fail, we've seen them succeed to the point

0:23:50.320 --> 0:23:53.040
<v Speaker 1>that they're two hundred bushel corn and you know, seventy

0:23:53.040 --> 0:23:56.480
<v Speaker 1>bushel beams. We've you know, we've seen it all before,

0:23:56.640 --> 0:23:59.879
<v Speaker 1>so therefore when it repeats, we have a better understanding

0:24:00.119 --> 0:24:02.800
<v Speaker 1>how to succeed. And and a lot of this is

0:24:02.840 --> 0:24:05.240
<v Speaker 1>mental notes, but a lot of it is written notes

0:24:05.280 --> 0:24:07.760
<v Speaker 1>and stuff that I've I've journaled through the years about

0:24:08.359 --> 0:24:11.720
<v Speaker 1>what happened when the weather was like this, and that's

0:24:11.720 --> 0:24:13.880
<v Speaker 1>how we came up with the algorithm for deercast. So

0:24:14.520 --> 0:24:17.200
<v Speaker 1>it's just really paying attention to every detail. But it's

0:24:17.200 --> 0:24:18.960
<v Speaker 1>gonna be a time stuck for you if you want

0:24:18.960 --> 0:24:21.280
<v Speaker 1>to take it to that level, like it's it's almost

0:24:21.880 --> 0:24:24.840
<v Speaker 1>seven throughout the entire fall to really hone in on

0:24:24.880 --> 0:24:27.840
<v Speaker 1>all these different things I'm talking about, because the environment

0:24:27.880 --> 0:24:30.679
<v Speaker 1>and the food sources are just as important to the

0:24:30.760 --> 0:24:34.760
<v Speaker 1>deer ultimately his health and how he's going to move,

0:24:35.040 --> 0:24:37.760
<v Speaker 1>you know, daylight versus nighttime that year, there's a lot

0:24:37.760 --> 0:24:40.879
<v Speaker 1>of different factors that to plug in on. Yeah, you

0:24:41.000 --> 0:24:45.360
<v Speaker 1>really gotta love it. I was for now, I don't

0:24:45.359 --> 0:24:47.479
<v Speaker 1>know what's two nights before opening day here in Michigan.

0:24:47.520 --> 0:24:49.320
<v Speaker 1>I was sitting at like eleven o'clock at night at

0:24:49.320 --> 0:24:52.159
<v Speaker 1>my computer, had both monitors up, and I had a

0:24:52.200 --> 0:24:55.920
<v Speaker 1>spreadsheet with all of my daylight trail camera photos of

0:24:56.000 --> 0:25:00.000
<v Speaker 1>my main target buck and all the different weather factors, YadA, YadA, YadA,

0:25:00.000 --> 0:25:02.080
<v Speaker 1>all the different data points there that I had a

0:25:02.080 --> 0:25:05.359
<v Speaker 1>note document open where I had listed out everything this

0:25:05.480 --> 0:25:09.040
<v Speaker 1>buck had done in within like a ten day window

0:25:09.080 --> 0:25:11.680
<v Speaker 1>of opening day. And then I had everything he'd done

0:25:11.720 --> 0:25:14.359
<v Speaker 1>this year so far for the last three weeks, and

0:25:14.359 --> 0:25:17.399
<v Speaker 1>then I had notes on the two locations I was

0:25:17.440 --> 0:25:19.960
<v Speaker 1>considering and what other deer had been in there last

0:25:20.040 --> 0:25:21.760
<v Speaker 1>year and this year. And was looking at all this

0:25:21.800 --> 0:25:23.800
<v Speaker 1>stuff and I'm having the time of my life. And

0:25:23.840 --> 0:25:25.920
<v Speaker 1>I texted some of my buddies in my group chat

0:25:26.160 --> 0:25:28.240
<v Speaker 1>and they're like, oh my god, that looks miserable. You're

0:25:28.240 --> 0:25:30.320
<v Speaker 1>a nut job. And in my head, I thought, this

0:25:30.359 --> 0:25:32.960
<v Speaker 1>is the best part of it. This is the best

0:25:33.480 --> 0:25:36.560
<v Speaker 1>You really got to love that. I agree. I love data,

0:25:36.800 --> 0:25:39.760
<v Speaker 1>you know, and I love stats, you know, and it's

0:25:39.800 --> 0:25:43.200
<v Speaker 1>it's pretty cool because they are potable, but you've got

0:25:43.200 --> 0:25:45.879
<v Speaker 1>to have the pieces of the pie to pattern them. Yeah.

0:25:46.160 --> 0:25:49.080
<v Speaker 1>So you mentioned, you know, keeping track of the environmental

0:25:49.240 --> 0:25:52.240
<v Speaker 1>factors and all the other things outside of just pictures.

0:25:52.760 --> 0:25:55.760
<v Speaker 1>And this is one thing that I have struggled with

0:25:55.800 --> 0:25:58.000
<v Speaker 1>actually over the years and not done a good enough

0:25:58.119 --> 0:26:00.359
<v Speaker 1>job of that. Is like keeping track of all of

0:26:00.400 --> 0:26:06.280
<v Speaker 1>those outside things. Um, I've I've started and stopped multiple

0:26:06.359 --> 0:26:08.600
<v Speaker 1>hunting journals where I'm every year I'm like, okay, I'm

0:26:08.600 --> 0:26:10.280
<v Speaker 1>gonna keep track of everything. And I do it for

0:26:10.320 --> 0:26:12.640
<v Speaker 1>a few days or a few weeks, and then I

0:26:12.640 --> 0:26:16.000
<v Speaker 1>lose I lose it. Uh what does that look like

0:26:16.080 --> 0:26:20.280
<v Speaker 1>for you? Do you keep a consistent journal? Do you,

0:26:20.280 --> 0:26:22.200
<v Speaker 1>you know, do track stuff just during the hunting season

0:26:22.320 --> 0:26:24.960
<v Speaker 1>or are you writing something down online or in a

0:26:25.040 --> 0:26:28.000
<v Speaker 1>book or you know, how do you personally do that?

0:26:29.280 --> 0:26:31.720
<v Speaker 1>I keep a lot of notes within deercast because we

0:26:31.800 --> 0:26:34.600
<v Speaker 1>allow for it, you know, within the different way points

0:26:34.640 --> 0:26:37.439
<v Speaker 1>and whatnot. But a lot of it is honestly in

0:26:37.480 --> 0:26:39.320
<v Speaker 1>my mind. Like I don't know. I think I was

0:26:39.800 --> 0:26:42.240
<v Speaker 1>lucky that I have a mind that Like I think

0:26:42.240 --> 0:26:45.120
<v Speaker 1>it's because I'm so hyper focused on killing them, Like

0:26:45.480 --> 0:26:47.879
<v Speaker 1>I know how important it is, so therefore I remember it,

0:26:48.080 --> 0:26:52.040
<v Speaker 1>if that makes sense. Like I can't remember. My wife

0:26:52.080 --> 0:26:54.040
<v Speaker 1>can bring up ten subjects in a row and I'll

0:26:54.040 --> 0:26:58.040
<v Speaker 1>have barely a memory of any of them. But when

0:26:58.040 --> 0:27:00.960
<v Speaker 1>it comes but it comes to a d R the

0:27:01.000 --> 0:27:04.400
<v Speaker 1>barametric pressure, the wind speed, the wind direction, I mean,

0:27:04.680 --> 0:27:06.320
<v Speaker 1>there's not a deer I've ever killed that. I couldn't

0:27:06.320 --> 0:27:08.240
<v Speaker 1>spit it out if you ask me, you know, I mean,

0:27:08.280 --> 0:27:11.440
<v Speaker 1>I just I've been very lucky to have it. And again,

0:27:11.480 --> 0:27:14.359
<v Speaker 1>I think that's probably a selfishness on my part because

0:27:14.359 --> 0:27:18.439
<v Speaker 1>I'm so obsessed with them. Uh, you know, so a

0:27:18.480 --> 0:27:22.359
<v Speaker 1>lot of it is just memory. Now, yeah, I can't,

0:27:22.920 --> 0:27:25.240
<v Speaker 1>I can't say I have that same memory. So jealous

0:27:25.240 --> 0:27:27.080
<v Speaker 1>of that, I've got to figure out a better way

0:27:27.119 --> 0:27:30.520
<v Speaker 1>to lock the stuff down on paper. Um, we'll see

0:27:30.520 --> 0:27:31.760
<v Speaker 1>if this is the year I can finally do a

0:27:31.800 --> 0:27:35.080
<v Speaker 1>better job of it. Here. Here's something I'm curious about,

0:27:36.720 --> 0:27:40.280
<v Speaker 1>historical weather data. Right, that's something that, of course you've

0:27:40.320 --> 0:27:43.120
<v Speaker 1>mentioned as being something you'd like to take a look

0:27:43.160 --> 0:27:45.640
<v Speaker 1>at and see, you know, how it correlates with daylight

0:27:45.880 --> 0:27:49.040
<v Speaker 1>pictures in the past or daylight observations. This is a

0:27:49.040 --> 0:27:51.320
<v Speaker 1>two part question, and one part maybe you don't want

0:27:51.320 --> 0:27:52.720
<v Speaker 1>to answer, and if you don't want to answer, you

0:27:52.720 --> 0:27:55.679
<v Speaker 1>don't need to. Second part you can tell me. But

0:27:55.920 --> 0:28:00.600
<v Speaker 1>part A is can we get historical other data in

0:28:00.680 --> 0:28:03.159
<v Speaker 1>deer cast someday? Because I would love it if I

0:28:03.160 --> 0:28:06.040
<v Speaker 1>could see that right in my dear cast app firsts

0:28:06.080 --> 0:28:08.040
<v Speaker 1>having to go to a different website. That's part day,

0:28:08.040 --> 0:28:10.679
<v Speaker 1>and then part two is where do you personally go

0:28:10.840 --> 0:28:15.160
<v Speaker 1>to get your historical weather data. I've created my own okay,

0:28:15.200 --> 0:28:20.080
<v Speaker 1>so two answers. Deer Cast looks at the future and

0:28:20.160 --> 0:28:24.080
<v Speaker 1>the past. Okay, So on a on a daily basis,

0:28:24.359 --> 0:28:27.320
<v Speaker 1>if it's giving you a prediction, it's looking backwards and

0:28:27.359 --> 0:28:31.199
<v Speaker 1>it's looking forward. So say you wanted to rewind the

0:28:31.240 --> 0:28:36.000
<v Speaker 1>clock five years, it would have to look backwards several

0:28:36.080 --> 0:28:41.040
<v Speaker 1>days and look forward several days to recreate the prediction

0:28:41.160 --> 0:28:44.640
<v Speaker 1>for that day. That was an algorithm and the cost

0:28:44.680 --> 0:28:47.680
<v Speaker 1>of an API that was cost prohibitive by not by

0:28:47.720 --> 0:28:51.200
<v Speaker 1>a little, but by a lot, like put puts got

0:28:51.200 --> 0:28:53.400
<v Speaker 1>a business, you know, when we asked the question, can

0:28:53.440 --> 0:28:55.800
<v Speaker 1>we do this because we have an ap I like

0:28:56.000 --> 0:28:59.720
<v Speaker 1>weather is for the most part, a predictive model in

0:28:59.760 --> 0:29:03.280
<v Speaker 1>an itself. So the API comes in, we pipe that

0:29:03.360 --> 0:29:06.560
<v Speaker 1>into our algorithm and it all works right because it's

0:29:06.560 --> 0:29:09.200
<v Speaker 1>all recent, it's all right there in their computers to

0:29:09.320 --> 0:29:12.720
<v Speaker 1>go back and dig it up. Was they're They're like, well,

0:29:12.720 --> 0:29:14.880
<v Speaker 1>no one's ever asked for that before, you know, and

0:29:14.880 --> 0:29:17.920
<v Speaker 1>and other words, it was impossible and the quote was

0:29:18.240 --> 0:29:21.520
<v Speaker 1>cost prohibitive. So I do it myself. I screenshot my

0:29:21.560 --> 0:29:23.320
<v Speaker 1>dear cast every day and I keep a file and

0:29:23.360 --> 0:29:25.520
<v Speaker 1>I have since it came out, so I've got every

0:29:25.600 --> 0:29:28.840
<v Speaker 1>day's weather data for where I hunt since the start

0:29:28.880 --> 0:29:34.040
<v Speaker 1>of it. So that's the best way to do it, Okay, Well,

0:29:34.080 --> 0:29:38.200
<v Speaker 1>I uh, because then it's is all there. If you

0:29:38.200 --> 0:29:40.480
<v Speaker 1>look at our screen, everything you want to know is

0:29:40.520 --> 0:29:44.320
<v Speaker 1>all on on that hourly forecast. Put it at you know, noon,

0:29:44.440 --> 0:29:47.680
<v Speaker 1>or put it at eight am or six pm, and

0:29:47.760 --> 0:29:50.600
<v Speaker 1>screenshot it, and you've got every single readout you want.

0:29:51.000 --> 0:29:55.120
<v Speaker 1>But going back and doing it is just absolutely cost prohibitive. Yeah,

0:29:55.160 --> 0:29:58.840
<v Speaker 1>I can see that. Uh, well, I can dream, I guess,

0:30:00.120 --> 0:30:04.280
<v Speaker 1>and it's cost prohibitive because of how many days equal

0:30:04.360 --> 0:30:07.200
<v Speaker 1>into the prediction for that moment. Right, We're giving you

0:30:07.400 --> 0:30:10.320
<v Speaker 1>an hour by our forecast, but in reality, it's looking

0:30:10.320 --> 0:30:12.760
<v Speaker 1>forward and looking backwards to give you that hour, and

0:30:12.880 --> 0:30:14.840
<v Speaker 1>then if you wanted to rewind the clock five years,

0:30:14.840 --> 0:30:18.280
<v Speaker 1>it's it's almost it's so tangled up you can't do it. Yeah,

0:30:18.360 --> 0:30:22.960
<v Speaker 1>that's a doozy. Well back to back to pictures then, Um,

0:30:23.120 --> 0:30:25.240
<v Speaker 1>one of the things I don't want to spend a

0:30:25.240 --> 0:30:26.800
<v Speaker 1>ton of time on, but I do want to just

0:30:27.080 --> 0:30:30.360
<v Speaker 1>run by you real quick. We've had previous conversations over

0:30:30.360 --> 0:30:32.719
<v Speaker 1>the years about how you use trail cameras, how you

0:30:32.760 --> 0:30:36.200
<v Speaker 1>place them, Um, you know, when you're checking them, when

0:30:36.200 --> 0:30:38.840
<v Speaker 1>they're when you're moving them, stuff like that. But when

0:30:38.840 --> 0:30:41.560
<v Speaker 1>it comes specifically to patterning bucks, like not just getting

0:30:41.560 --> 0:30:44.360
<v Speaker 1>a basic inventory in the summer, uh, not just trying

0:30:44.400 --> 0:30:47.080
<v Speaker 1>to get you know, what's around, but when you are

0:30:47.160 --> 0:30:50.400
<v Speaker 1>actively trying to pattern a specific buck like this deer

0:30:51.000 --> 0:30:53.200
<v Speaker 1>for example, that way just killed when he showed back

0:30:53.280 --> 0:30:54.960
<v Speaker 1>up and you realized, oh wow, we've got a chance

0:30:55.000 --> 0:30:56.800
<v Speaker 1>of this dear, but we gotta figure him out asap

0:30:57.160 --> 0:31:02.600
<v Speaker 1>before he disappears. How does your camera placement change, if

0:31:02.640 --> 0:31:04.720
<v Speaker 1>at all, in that kind of situation when you're like,

0:31:04.880 --> 0:31:07.760
<v Speaker 1>we need to learn this deer and put together a pattern. Now,

0:31:08.560 --> 0:31:10.479
<v Speaker 1>just do things change or do you always have your

0:31:10.480 --> 0:31:12.400
<v Speaker 1>cameras in the same places and they just stay there.

0:31:13.360 --> 0:31:16.520
<v Speaker 1>They are historical cameras everywhere that stay there, that are

0:31:16.600 --> 0:31:20.280
<v Speaker 1>on great travel routes or hubscrapes or places. You know,

0:31:20.320 --> 0:31:23.040
<v Speaker 1>when you watch a farm or watch a field and

0:31:23.040 --> 0:31:25.480
<v Speaker 1>you're hunting it, you go, I need a camera right there,

0:31:25.560 --> 0:31:27.600
<v Speaker 1>and then it always produces for you you know, and

0:31:27.920 --> 0:31:31.000
<v Speaker 1>you watch a certain food plot and that's got the movement.

0:31:31.000 --> 0:31:33.600
<v Speaker 1>The rest of the plot's got twenty right, so you know,

0:31:33.680 --> 0:31:36.560
<v Speaker 1>but then when we find a target, then we might

0:31:36.640 --> 0:31:42.120
<v Speaker 1>go from three broad looking cameras in that area to ten.

0:31:42.520 --> 0:31:45.480
<v Speaker 1>I call it the blitz creeg with with cams. So

0:31:45.920 --> 0:31:48.239
<v Speaker 1>you know you're going you're trying to win the war, right,

0:31:48.320 --> 0:31:51.040
<v Speaker 1>everybody knows from history that the term blitz grieg. Well,

0:31:51.040 --> 0:31:52.840
<v Speaker 1>you're going there. You gotta be wise about it. You

0:31:52.880 --> 0:31:55.000
<v Speaker 1>can't run him out of there. Got to be smart

0:31:55.160 --> 0:31:57.480
<v Speaker 1>and get as much intel as you can. And you know,

0:31:58.160 --> 0:32:00.400
<v Speaker 1>you know, six seven years ago, before the advent of

0:32:00.440 --> 0:32:02.719
<v Speaker 1>the cell cams, you didn't have real time information. Now

0:32:02.800 --> 0:32:08.120
<v Speaker 1>you do. So my my methods have changed from strictly

0:32:08.200 --> 0:32:11.680
<v Speaker 1>looking at historical patterns and trying to predict the future

0:32:12.080 --> 0:32:16.680
<v Speaker 1>to that coupled with real time in the now um

0:32:16.880 --> 0:32:20.040
<v Speaker 1>information through cell cams, and it's uh. I can tell

0:32:20.080 --> 0:32:23.560
<v Speaker 1>you those subcams are are a deadly deadly tool. When

0:32:23.680 --> 0:32:27.480
<v Speaker 1>coupled with historical infusion from a file that you've you've

0:32:27.560 --> 0:32:29.840
<v Speaker 1>kept on a deer, it is a one to punch

0:32:29.920 --> 0:32:34.160
<v Speaker 1>that is unbeatable for mature bucks, particularly particularly in phases

0:32:34.240 --> 0:32:36.720
<v Speaker 1>like this one on on Greener Pastors were in phase

0:32:36.800 --> 0:32:39.760
<v Speaker 1>two from our show start team, and they're just not

0:32:39.880 --> 0:32:41.640
<v Speaker 1>moving very far. If you put a buck to bed

0:32:42.200 --> 0:32:45.640
<v Speaker 1>and you've got a decent deercast prediction that afternoon, chances

0:32:45.640 --> 0:32:48.320
<v Speaker 1>are you going to see when you do this blitz

0:32:48.360 --> 0:32:51.480
<v Speaker 1>creek and you go and you increase the concentration of cameras.

0:32:53.000 --> 0:32:55.000
<v Speaker 1>What are what are the kinds of places you're going

0:32:55.040 --> 0:32:57.760
<v Speaker 1>to place those extra cameras, and how are you doing

0:32:57.880 --> 0:33:01.360
<v Speaker 1>it so that you don't mess up you know, your

0:33:01.400 --> 0:33:03.720
<v Speaker 1>chances of still seeing him. What's what's the best way

0:33:03.760 --> 0:33:05.560
<v Speaker 1>to do that in a low impact way where you

0:33:05.680 --> 0:33:10.000
<v Speaker 1>get enough information that's relevant but not so much so

0:33:10.240 --> 0:33:14.840
<v Speaker 1>that you never see him again. It changes throughout the year.

0:33:15.120 --> 0:33:17.280
<v Speaker 1>This time of the year, they're not moving very far

0:33:17.400 --> 0:33:20.320
<v Speaker 1>because they're on food source. They haven't started expanding their

0:33:20.360 --> 0:33:23.680
<v Speaker 1>home range hardly at all. And I'm on entry and

0:33:23.720 --> 0:33:25.520
<v Speaker 1>exit trails in and around a food source that I'm

0:33:25.560 --> 0:33:28.120
<v Speaker 1>trying to take the deer, or I'm on an acorn

0:33:28.200 --> 0:33:31.280
<v Speaker 1>flat that has a bunch of you know, acorns falling,

0:33:31.920 --> 0:33:33.800
<v Speaker 1>and I'm trying to figure out where he's coming from,

0:33:33.840 --> 0:33:36.160
<v Speaker 1>where he's been, and I probably have an idea based

0:33:36.240 --> 0:33:39.720
<v Speaker 1>on historical you know, hunting of the farm, and I'm

0:33:39.880 --> 0:33:42.360
<v Speaker 1>I'm trying to kill him in and around that food

0:33:42.440 --> 0:33:46.200
<v Speaker 1>source of an afternoon, unless by chance I get a

0:33:46.240 --> 0:33:48.200
<v Speaker 1>strong north wind, then I'll try him of the morning.

0:33:48.560 --> 0:33:51.360
<v Speaker 1>First north is always gold, and we've talked about that

0:33:51.440 --> 0:33:54.280
<v Speaker 1>before on your podcast. I love the first morning the

0:33:54.320 --> 0:33:56.160
<v Speaker 1>winds out of the north Tomorrow morning? Is that for

0:33:56.320 --> 0:33:59.080
<v Speaker 1>us here? So, um, if we don't have too many

0:33:59.120 --> 0:34:01.520
<v Speaker 1>cocktails when Matt us here tonight, we might have to mark.

0:34:01.640 --> 0:34:04.680
<v Speaker 1>If not that we'll be out there tomorrow afternoon. But um,

0:34:05.280 --> 0:34:08.160
<v Speaker 1>I love that. Now that will change as you get

0:34:08.239 --> 0:34:11.640
<v Speaker 1>into late October. Then I'm I'm on scrapes, man. I've

0:34:11.680 --> 0:34:15.440
<v Speaker 1>got every scrape covered that I can find in what

0:34:15.600 --> 0:34:19.240
<v Speaker 1>I anticipate to be his home core. And then suddenly,

0:34:19.320 --> 0:34:22.480
<v Speaker 1>instead of the blitz Creek being very concentrated on a

0:34:22.560 --> 0:34:27.080
<v Speaker 1>small area, it expands as I anticipate the home range

0:34:27.160 --> 0:34:29.920
<v Speaker 1>is going to expand. In other words, Wade's deer was

0:34:30.000 --> 0:34:33.840
<v Speaker 1>fairly fairly consistent two hundred yards apart two major fields.

0:34:34.120 --> 0:34:36.280
<v Speaker 1>He was daylighting on both of them in the evenings.

0:34:36.640 --> 0:34:38.319
<v Speaker 1>Very rare for a six and af year old deer

0:34:38.760 --> 0:34:42.719
<v Speaker 1>to do. But you get into late October, all of

0:34:42.760 --> 0:34:45.520
<v Speaker 1>a sudden, home range is gonna expand, and you've got

0:34:45.640 --> 0:34:47.520
<v Speaker 1>to have a lot more scrapes covered to figure out

0:34:47.560 --> 0:34:49.680
<v Speaker 1>where he's gonna because that's what he's hitting at that time.

0:34:50.080 --> 0:34:53.640
<v Speaker 1>Right now, he's hitting food source. Late October, early November,

0:34:53.760 --> 0:34:57.160
<v Speaker 1>he's hitting scrapes. Get back through the rut, then I'm

0:34:57.239 --> 0:34:59.920
<v Speaker 1>on just where the heck is he gonna be at

0:35:00.000 --> 0:35:02.560
<v Speaker 1>a lot of randomness, so I'm on trails oftentimes then

0:35:03.000 --> 0:35:05.960
<v Speaker 1>and then late November I'm back into scrapes and food sources.

0:35:06.040 --> 0:35:08.960
<v Speaker 1>So you know, as we transition through the season, these

0:35:09.040 --> 0:35:11.600
<v Speaker 1>light switch events that we talked about in thirteen and

0:35:11.840 --> 0:35:14.839
<v Speaker 1>in Deer Season twenty two, then you know you can

0:35:15.000 --> 0:35:17.680
<v Speaker 1>you can adjust your tactics and all of this is

0:35:17.760 --> 0:35:19.839
<v Speaker 1>laid out in Deercast, like we talked, we break these

0:35:19.880 --> 0:35:23.200
<v Speaker 1>phases down, um, you know, as as deeply as we

0:35:23.320 --> 0:35:25.920
<v Speaker 1>can to help people understand what the deer doing at

0:35:25.960 --> 0:35:28.080
<v Speaker 1>different times of the year. Well, if you adjust your

0:35:28.120 --> 0:35:31.400
<v Speaker 1>camera strategy to what they're doing, you're gonna be so

0:35:31.560 --> 0:35:33.719
<v Speaker 1>much more effective. If you find a target buck, put

0:35:33.719 --> 0:35:35.839
<v Speaker 1>a lot of cameras on him, you're gonna up your

0:35:35.880 --> 0:35:41.200
<v Speaker 1>eyes for killing definitely seeing possibly killing him. Where does

0:35:41.600 --> 0:35:46.399
<v Speaker 1>where does glassing or observation fit into your data kind

0:35:46.440 --> 0:35:49.520
<v Speaker 1>of mix these days? Is that something you do much

0:35:49.600 --> 0:35:52.000
<v Speaker 1>still or with the advent of sell Kam's, do not

0:35:52.160 --> 0:35:54.320
<v Speaker 1>need to do that as much? I still do a

0:35:54.400 --> 0:35:57.680
<v Speaker 1>lot of it, a lot because a camera only shows

0:35:57.719 --> 0:36:00.879
<v Speaker 1>you one little spot right like they tell you a lot.

0:36:01.440 --> 0:36:04.359
<v Speaker 1>But they also don't tell you a lot if you will.

0:36:04.880 --> 0:36:11.239
<v Speaker 1>And that gets especially true in terrain and country that

0:36:11.600 --> 0:36:15.760
<v Speaker 1>is more difficult to anticipate and interpret. In other words,

0:36:15.880 --> 0:36:19.680
<v Speaker 1>like big open country throws hunters for a curve because

0:36:20.360 --> 0:36:24.080
<v Speaker 1>there they can be anywhere everywhere. You know tall grass,

0:36:24.200 --> 0:36:28.040
<v Speaker 1>big swampy areas that's all the same, all flat river bottoms,

0:36:28.400 --> 0:36:32.919
<v Speaker 1>big crp expanses, big tillable, those types of examples where

0:36:32.960 --> 0:36:38.040
<v Speaker 1>the it's really really big cover, they oftentimes are much

0:36:38.080 --> 0:36:41.840
<v Speaker 1>more random within and they're far much more difficult to pattern.

0:36:42.200 --> 0:36:46.280
<v Speaker 1>Contrast that with where we were last night, brushy, brushy,

0:36:47.000 --> 0:36:50.279
<v Speaker 1>heavy security cover, food right next to it. He's not

0:36:50.360 --> 0:36:52.920
<v Speaker 1>moving very far, he's got bet, he's got food, he's

0:36:52.920 --> 0:36:56.800
<v Speaker 1>got water. When that gets big, it's much more difficult

0:36:56.840 --> 0:37:00.920
<v Speaker 1>to pattern them. So I spread out and I watched that. Oftentimes,

0:37:00.960 --> 0:37:04.440
<v Speaker 1>as opposed to depend on cell cams, sometimes cell cams

0:37:04.840 --> 0:37:08.800
<v Speaker 1>or cameras in general will almost lock you into a

0:37:09.080 --> 0:37:11.359
<v Speaker 1>pattern and handcuff you or put you in a straight

0:37:11.440 --> 0:37:13.920
<v Speaker 1>jacket to where you can't make a good decision. And

0:37:14.040 --> 0:37:16.399
<v Speaker 1>sometimes you've got to get back out there, put eyes

0:37:16.400 --> 0:37:18.200
<v Speaker 1>on the ground, boots on the ground, and figured out

0:37:18.280 --> 0:37:20.279
<v Speaker 1>that way. So it really depends on the environment that

0:37:20.320 --> 0:37:23.200
<v Speaker 1>I'm dealing with. Yeah, and like when would you do

0:37:23.360 --> 0:37:25.880
<v Speaker 1>that kind of thing? Is that like, let's say you're

0:37:25.880 --> 0:37:28.600
<v Speaker 1>an environment or situation where you realize that I need

0:37:28.680 --> 0:37:30.839
<v Speaker 1>this additional intel, I need to go out and watch.

0:37:31.640 --> 0:37:33.239
<v Speaker 1>Are you just doing that on the nights and the

0:37:33.280 --> 0:37:35.800
<v Speaker 1>conditions aren't right to actually go in for a strike

0:37:35.880 --> 0:37:37.400
<v Speaker 1>and for a kill And you're like, well, there's not

0:37:37.520 --> 0:37:39.560
<v Speaker 1>a great opportunity to kill something right now, so I'm

0:37:39.600 --> 0:37:41.960
<v Speaker 1>going to sit back and watch. Or are you doing

0:37:42.080 --> 0:37:44.640
<v Speaker 1>this every morning in October when you're not hunting? Or

0:37:45.000 --> 0:37:48.480
<v Speaker 1>what does that actually look like? You hit two nails

0:37:48.520 --> 0:37:50.920
<v Speaker 1>on the head. Both of those examples are exactly when

0:37:50.960 --> 0:37:54.640
<v Speaker 1>I do it, and then I do it when the

0:37:55.360 --> 0:37:58.879
<v Speaker 1>camera reports and the cell cams have me scratching my head.

0:37:59.360 --> 0:38:02.839
<v Speaker 1>In other words, is like this buck was here last year,

0:38:03.200 --> 0:38:06.120
<v Speaker 1>but I'm not getting him this year. Did he switch

0:38:06.239 --> 0:38:08.760
<v Speaker 1>to one part of the field, you know as buck's age.

0:38:08.840 --> 0:38:11.400
<v Speaker 1>That's another part of the equation and another part of

0:38:11.920 --> 0:38:14.960
<v Speaker 1>of pattering a deer. What they do at age three

0:38:15.520 --> 0:38:18.040
<v Speaker 1>varies differently from four or five, and then when they

0:38:18.080 --> 0:38:21.520
<v Speaker 1>get to six or seven, suddenly things start to shrink.

0:38:21.560 --> 0:38:24.120
<v Speaker 1>If you took a circle, and it would be very

0:38:24.239 --> 0:38:27.239
<v Speaker 1>large at age three, it's slowly but truly shrinks. As

0:38:27.280 --> 0:38:29.239
<v Speaker 1>a deer age is you get into six, seven or eight,

0:38:29.560 --> 0:38:31.279
<v Speaker 1>if you could find where he's at, you could kill

0:38:31.320 --> 0:38:33.880
<v Speaker 1>it because he's not moving very far. They get slow.

0:38:33.960 --> 0:38:36.759
<v Speaker 1>Their metabolism slows way down. They get almost a little

0:38:36.760 --> 0:38:40.640
<v Speaker 1>bit lazy. I oftentimes use an analogy of an older

0:38:40.760 --> 0:38:43.840
<v Speaker 1>pet and older dog as you watch them age through life.

0:38:44.160 --> 0:38:47.040
<v Speaker 1>Take a cat, you know that's you know, age one

0:38:47.160 --> 0:38:49.920
<v Speaker 1>or two. That thing's bouncing off the walls half today.

0:38:50.000 --> 0:38:53.000
<v Speaker 1>You know, by this time that's ten or twelve, it's

0:38:53.120 --> 0:38:55.920
<v Speaker 1>laying around, sleeping all day. And dogs are are very

0:38:56.000 --> 0:38:59.399
<v Speaker 1>much the same. Puppy versus you know a dog that's ten,

0:38:59.440 --> 0:39:02.759
<v Speaker 1>eleven or two, well and deer are this exact same way,

0:39:03.160 --> 0:39:05.520
<v Speaker 1>So you have to always keep in mind what age

0:39:05.600 --> 0:39:08.279
<v Speaker 1>is he and water His mannerism is gonna be like,

0:39:08.520 --> 0:39:10.560
<v Speaker 1>and am I off of him just a little bit?

0:39:11.120 --> 0:39:13.759
<v Speaker 1>Is he here but my cameras aren't seeing him? I

0:39:13.880 --> 0:39:17.000
<v Speaker 1>need to go watch from afar if it's possible, and

0:39:17.160 --> 0:39:19.200
<v Speaker 1>perhaps try to find him, and that that has worked

0:39:19.400 --> 0:39:22.480
<v Speaker 1>many times for me. So it's it really comes down

0:39:22.560 --> 0:39:25.200
<v Speaker 1>to the environment and the age of the deer now

0:39:25.400 --> 0:39:29.400
<v Speaker 1>and and the weather right like we're in this terrible

0:39:29.440 --> 0:39:32.120
<v Speaker 1>pattern two years in a row of these every day

0:39:32.200 --> 0:39:34.680
<v Speaker 1>it's ten degrees above normal temperatures. I don't know if

0:39:34.680 --> 0:39:36.440
<v Speaker 1>it's like that three oup in Michigan, but it has

0:39:36.520 --> 0:39:39.560
<v Speaker 1>been for us here. And it's like the Law Ninia

0:39:39.640 --> 0:39:42.040
<v Speaker 1>force that's out in the Pacific has set a new

0:39:42.160 --> 0:39:45.080
<v Speaker 1>normal to the to the deer movement. What used to

0:39:45.120 --> 0:39:47.560
<v Speaker 1>be a poor on deer cast is now really and

0:39:47.680 --> 0:39:51.160
<v Speaker 1>okay because the deer have adjusted to these warmer temperatures.

0:39:51.280 --> 0:39:53.439
<v Speaker 1>That's gonna switch in March or April when it turns

0:39:53.480 --> 0:39:56.160
<v Speaker 1>over to to an l Nno. But the Law Union

0:39:56.239 --> 0:39:58.920
<v Speaker 1>has really smoked us here in the Midwest, both in

0:39:59.160 --> 0:40:02.480
<v Speaker 1>overall rainfall an overall average temperature the last couple of seasons.

0:40:02.520 --> 0:40:05.520
<v Speaker 1>And we've gone through these before, um you know, in

0:40:05.680 --> 0:40:07.480
<v Speaker 1>years past, so we kind of know how to adjust

0:40:07.480 --> 0:40:09.319
<v Speaker 1>to it. I don't have you been above norm there

0:40:09.600 --> 0:40:12.520
<v Speaker 1>where you live. It's been pretty warm throughout the summer. Yeah,

0:40:12.880 --> 0:40:15.000
<v Speaker 1>we're in a little bit of a better place the

0:40:15.120 --> 0:40:19.120
<v Speaker 1>last like seven eight, nine, ten days. It's finally can't

0:40:19.160 --> 0:40:23.799
<v Speaker 1>drop down. Finally got two normal, right exactly, So now

0:40:24.239 --> 0:40:26.360
<v Speaker 1>normal is the new coal front. It hasn't get for

0:40:26.400 --> 0:40:29.600
<v Speaker 1>the last seasons. It's it's crazy. And that's all through

0:40:29.680 --> 0:40:32.160
<v Speaker 1>that Londini's effect on us out there in the Pacific.

0:40:32.239 --> 0:40:37.320
<v Speaker 1>It's it has a huge effect on overall environment rainfall

0:40:37.600 --> 0:40:55.719
<v Speaker 1>and thus, dear moment. That's interesting, this this situation in

0:40:55.800 --> 0:40:58.160
<v Speaker 1>which we realize that we need to get more intel

0:40:58.280 --> 0:41:01.400
<v Speaker 1>and we need to go out and actually watch. The

0:41:01.480 --> 0:41:04.840
<v Speaker 1>perfect situation, I think is is where you can drive

0:41:05.239 --> 0:41:07.440
<v Speaker 1>to somewhere and sit in your truck and glass from

0:41:07.440 --> 0:41:10.560
<v Speaker 1>a hill, let's say, a super safe, great view. You've

0:41:10.600 --> 0:41:12.920
<v Speaker 1>got an opening you can looking down down into. That

0:41:13.080 --> 0:41:16.200
<v Speaker 1>sounds easy, like that's an easy option. But what about

0:41:16.239 --> 0:41:19.759
<v Speaker 1>a situation where you don't have that hill that you

0:41:19.840 --> 0:41:22.399
<v Speaker 1>can safely get up on top of and you if

0:41:22.440 --> 0:41:24.279
<v Speaker 1>you wanted to learn more about what this deer is

0:41:24.600 --> 0:41:27.480
<v Speaker 1>is doing, you would have to get in there and

0:41:27.560 --> 0:41:29.759
<v Speaker 1>climb up into a tree or something. Do you ever

0:41:29.920 --> 0:41:32.320
<v Speaker 1>do that kind of thing anymore, like an actual observation

0:41:32.480 --> 0:41:35.880
<v Speaker 1>sit And if so, how do you do that in

0:41:35.920 --> 0:41:37.759
<v Speaker 1>a way that you feel confident you can get the

0:41:37.840 --> 0:41:41.120
<v Speaker 1>intel you need without damaging things? Is that you know?

0:41:41.400 --> 0:41:44.920
<v Speaker 1>What's your thoughts on that? I actually absolutely do it,

0:41:45.320 --> 0:41:48.719
<v Speaker 1>and um I did it on the nine of October two.

0:41:48.920 --> 0:41:51.680
<v Speaker 1>I was sharing that story with you before we started recording.

0:41:51.880 --> 0:41:53.680
<v Speaker 1>There was a buck that I had pictures of them

0:41:53.719 --> 0:41:57.120
<v Speaker 1>in brand new spot, and you know, I went in there.

0:41:57.239 --> 0:42:00.040
<v Speaker 1>We have a blind kind of set up where we

0:42:00.200 --> 0:42:02.480
<v Speaker 1>think we can kill him, but we're also like, we're

0:42:02.560 --> 0:42:04.200
<v Speaker 1>probably gonna have to move this or go to a

0:42:04.239 --> 0:42:06.680
<v Speaker 1>different tree or whatever, so let's go have to sit

0:42:06.760 --> 0:42:08.279
<v Speaker 1>there and see if we see him. And what do

0:42:08.360 --> 0:42:10.120
<v Speaker 1>you know, he walks in twenty five yards and I

0:42:10.560 --> 0:42:12.440
<v Speaker 1>goofed the whole situation up and I don't even get

0:42:12.480 --> 0:42:14.440
<v Speaker 1>my bow draw because I was in a bad position.

0:42:14.560 --> 0:42:16.239
<v Speaker 1>I kind of had my head out of the game,

0:42:16.320 --> 0:42:19.160
<v Speaker 1>and I got very excited, very quickly, and I really

0:42:19.480 --> 0:42:22.800
<v Speaker 1>really botched it up and and just screwed up on

0:42:23.160 --> 0:42:25.480
<v Speaker 1>a really big deer. But I was doing it that night.

0:42:25.719 --> 0:42:28.840
<v Speaker 1>So I do a lot of observation sits. And I

0:42:28.960 --> 0:42:31.920
<v Speaker 1>think one of those situations would be, you know, like

0:42:32.160 --> 0:42:34.960
<v Speaker 1>say it's a big timber track and it's just lots

0:42:35.000 --> 0:42:36.680
<v Speaker 1>of timber, and you know the deer in there, but

0:42:37.160 --> 0:42:40.160
<v Speaker 1>you know outside of camera photos, or you're not gonna

0:42:40.160 --> 0:42:42.480
<v Speaker 1>observe that timber because you can't see him there. You've

0:42:42.560 --> 0:42:45.120
<v Speaker 1>just got to be very wise about the days you'll

0:42:45.160 --> 0:42:47.480
<v Speaker 1>go in there and where you're gonna sit and how

0:42:47.520 --> 0:42:51.239
<v Speaker 1>you're gonna set up. Like I love. I love high

0:42:51.320 --> 0:42:54.920
<v Speaker 1>pressure days thirty point give me thirty point one and rising,

0:42:55.360 --> 0:42:58.120
<v Speaker 1>and I feel much more confident going into a timber

0:42:58.320 --> 0:43:03.320
<v Speaker 1>and affecting less then on a point eight with cloud

0:43:03.440 --> 0:43:06.640
<v Speaker 1>cover and swirly winds, where you're gonna affect a lot

0:43:06.719 --> 0:43:09.879
<v Speaker 1>of stuff. So be wise about the weather conditions when

0:43:09.920 --> 0:43:12.760
<v Speaker 1>you choose to go do it, and be wise about

0:43:12.800 --> 0:43:16.480
<v Speaker 1>your access and then affect less. I don't walk and

0:43:16.600 --> 0:43:20.160
<v Speaker 1>scout a tremendous a lot tremendous amount during the season.

0:43:20.520 --> 0:43:22.520
<v Speaker 1>I do all of that in the off season, I

0:43:22.640 --> 0:43:25.600
<v Speaker 1>walk the you know, leather off the bottom of the

0:43:25.680 --> 0:43:29.760
<v Speaker 1>shoes shed hunting and the off season, but come season,

0:43:30.160 --> 0:43:33.840
<v Speaker 1>I am really cautious about getting in there and scouting

0:43:34.040 --> 0:43:37.240
<v Speaker 1>an area unless the weather is just absolutely pristine and perfect,

0:43:37.280 --> 0:43:41.160
<v Speaker 1>because I think the worst thing you can do as

0:43:41.200 --> 0:43:44.200
<v Speaker 1>a hunter is bounce a deer out of where you're

0:43:44.200 --> 0:43:46.520
<v Speaker 1>trying to kill him. I mean, unless you just don't care,

0:43:46.719 --> 0:43:48.960
<v Speaker 1>you know, unless you're you know, like you know, I'm

0:43:49.000 --> 0:43:50.840
<v Speaker 1>not in it trying to pattern the bucket. I'm in

0:43:50.920 --> 0:43:53.160
<v Speaker 1>it to go and enjoy myself, and I want to

0:43:53.239 --> 0:43:55.680
<v Speaker 1>go cover some ground on this track of ground today

0:43:55.719 --> 0:43:57.879
<v Speaker 1>and see what the deer sign looks like and jump

0:43:57.960 --> 0:44:00.600
<v Speaker 1>into tree saddle and see if I kill one that's okay.

0:44:01.000 --> 0:44:02.880
<v Speaker 1>The great thing about deer hunting, there's a lot of

0:44:02.960 --> 0:44:06.360
<v Speaker 1>different techniques where you can kill them. My personal technique

0:44:06.400 --> 0:44:10.719
<v Speaker 1>and my personal desire is to never affect the deer

0:44:10.840 --> 0:44:12.720
<v Speaker 1>and try not to let them know they're being haunted.

0:44:12.800 --> 0:44:15.040
<v Speaker 1>That's because that's worked for me in the past. So

0:44:15.160 --> 0:44:18.239
<v Speaker 1>therefore I'm very cautious about those days that I'll go

0:44:18.440 --> 0:44:21.399
<v Speaker 1>do that that technique where I'm actually trying to gain

0:44:21.480 --> 0:44:24.600
<v Speaker 1>intel by going into their world, if you will. Yeah,

0:44:25.320 --> 0:44:29.320
<v Speaker 1>So when you're doing an observation sit or you're glassing,

0:44:30.600 --> 0:44:35.800
<v Speaker 1>what specifically, And I'm sure the answer is everything, but

0:44:36.320 --> 0:44:38.760
<v Speaker 1>I guess I'm looking for a little bit more nuanced

0:44:38.760 --> 0:44:41.040
<v Speaker 1>as far as what specifically are you looking for? Like

0:44:41.160 --> 0:44:43.680
<v Speaker 1>what are the things like you sit, you see the

0:44:43.719 --> 0:44:47.080
<v Speaker 1>buck pop out in your mind? What are the key

0:44:47.239 --> 0:44:51.480
<v Speaker 1>data points that you need to preserve from that observation? Uh?

0:44:51.880 --> 0:44:53.880
<v Speaker 1>And how do you then do that? So you you

0:44:54.080 --> 0:44:56.560
<v Speaker 1>you see the buck, let's say, do you go home?

0:44:56.680 --> 0:44:58.160
<v Speaker 1>Do you go pull up deer cast and put in

0:44:58.200 --> 0:44:59.759
<v Speaker 1>the notes like Okay, I saw him and he came

0:44:59.800 --> 0:45:01.759
<v Speaker 1>from here and he did X and and all that,

0:45:02.000 --> 0:45:05.160
<v Speaker 1>or how do you take advantage of a sighting and

0:45:06.040 --> 0:45:08.279
<v Speaker 1>squeeze that for as much as possible? Maybe That's what

0:45:08.360 --> 0:45:12.240
<v Speaker 1>I'm getting at. It definitely goes back into that overall

0:45:13.200 --> 0:45:17.160
<v Speaker 1>data bank, if you will, of what's the crop rotation,

0:45:17.560 --> 0:45:19.279
<v Speaker 1>what phase are we in, what time of the year

0:45:19.360 --> 0:45:23.200
<v Speaker 1>is it, what is the weather like today? What made

0:45:23.320 --> 0:45:27.399
<v Speaker 1>him move during daylight? Where did he come from? Where

0:45:27.480 --> 0:45:30.279
<v Speaker 1>is he going? It's really as simple as what I

0:45:30.360 --> 0:45:33.719
<v Speaker 1>just said right there, Where did he bed? Where is

0:45:33.719 --> 0:45:36.719
<v Speaker 1>he heading to feed? Or if it's a later and

0:45:36.880 --> 0:45:39.120
<v Speaker 1>I'm speaking in terms of where I'm at right now

0:45:39.160 --> 0:45:41.719
<v Speaker 1>in the season, which is you know, early October, and

0:45:41.760 --> 0:45:44.560
<v Speaker 1>they're they're on food patterns. That's going to change drastically

0:45:44.640 --> 0:45:47.720
<v Speaker 1>coming up here because the home ranges are going to expand.

0:45:47.760 --> 0:45:50.520
<v Speaker 1>And then in November it's you know, bar the door there,

0:45:50.640 --> 0:45:53.560
<v Speaker 1>they're all over the Dad Come place. So all of

0:45:53.640 --> 0:45:57.920
<v Speaker 1>those different factors have to be either journals are remembered,

0:45:58.280 --> 0:46:01.560
<v Speaker 1>are put into that overall data bag of of your

0:46:02.000 --> 0:46:06.680
<v Speaker 1>personal dear memory slash history, slash predictive model, whatever that

0:46:06.840 --> 0:46:08.960
<v Speaker 1>is for you as a person. It has to be

0:46:09.080 --> 0:46:12.359
<v Speaker 1>documented some way so that you can and eight years,

0:46:12.440 --> 0:46:17.520
<v Speaker 1>ten years, seven years, go back, not necessarily to reflect

0:46:17.640 --> 0:46:20.920
<v Speaker 1>on that dear, but reflect on what the dear in

0:46:21.040 --> 0:46:25.120
<v Speaker 1>general do with those conditions when they repeat, because when

0:46:25.200 --> 0:46:30.000
<v Speaker 1>weather conditions repeat and mass crop repeats and crop rotation repeats,

0:46:30.560 --> 0:46:33.439
<v Speaker 1>the dear in general will most likely act and bed

0:46:33.600 --> 0:46:36.319
<v Speaker 1>the same way that they are when you made that observation.

0:46:37.880 --> 0:46:42.320
<v Speaker 1>So something you said there made me. It triggered a

0:46:42.440 --> 0:46:47.120
<v Speaker 1>situation that I've oftentimes found myself in wondering about UH,

0:46:47.239 --> 0:46:49.839
<v Speaker 1>and I think it has it's tied to this kind

0:46:49.840 --> 0:46:52.480
<v Speaker 1>of observation type situation where you see a deer do

0:46:52.680 --> 0:46:55.279
<v Speaker 1>something and then you think about, Okay, what was the

0:46:55.320 --> 0:46:58.719
<v Speaker 1>wind doing on at that particular time, and why did

0:46:58.800 --> 0:47:00.520
<v Speaker 1>he come from where he came from, and why was

0:47:00.560 --> 0:47:03.840
<v Speaker 1>he going where he was going. One of the dilemmas

0:47:03.880 --> 0:47:07.920
<v Speaker 1>I oftentimes find myself is that I'm looking at a

0:47:08.080 --> 0:47:11.479
<v Speaker 1>daylight photo or I'm looking at some piece of data

0:47:11.520 --> 0:47:14.440
<v Speaker 1>that says, okay, that buck was in here on this day.

0:47:14.520 --> 0:47:17.640
<v Speaker 1>What was the wind you know that day? And I'll say, okay,

0:47:17.680 --> 0:47:21.320
<v Speaker 1>it's a northwest or whatever. But then maybe it was

0:47:21.360 --> 0:47:24.880
<v Speaker 1>different in the morning versus the evening. And I guess

0:47:25.480 --> 0:47:29.239
<v Speaker 1>I'm curious, what do you think matters more when it

0:47:29.320 --> 0:47:31.360
<v Speaker 1>comes to predicting what a buck's going to do? Is

0:47:31.520 --> 0:47:33.799
<v Speaker 1>is the wind in the morning when he went back

0:47:33.840 --> 0:47:36.960
<v Speaker 1>to bed the most important thing to predict what he's

0:47:36.960 --> 0:47:39.680
<v Speaker 1>gonna do? Or is it the wind in the evening

0:47:40.120 --> 0:47:43.040
<v Speaker 1>when he comes out to his food source, like which

0:47:43.120 --> 0:47:47.160
<v Speaker 1>is influencing his behavior more? Um, I don't know if

0:47:47.160 --> 0:47:49.120
<v Speaker 1>I'm explaining this question, what does that make sense? Mark?

0:47:49.760 --> 0:47:52.400
<v Speaker 1>Are you? Are you talking in terms of speed or direction?

0:47:52.680 --> 0:47:56.680
<v Speaker 1>I was thinking direction, but both of the interesting um,

0:47:58.040 --> 0:48:02.560
<v Speaker 1>wind speed is what I pay most attention to. I

0:48:02.719 --> 0:48:08.120
<v Speaker 1>pay almost no attention to win direction as it pertains

0:48:08.200 --> 0:48:12.000
<v Speaker 1>to a bucks paninable and predictive movements as much as

0:48:12.040 --> 0:48:18.279
<v Speaker 1>I do speed. Um, I am not one that conforms

0:48:18.360 --> 0:48:23.520
<v Speaker 1>to the thought that the direction of wind will dictate

0:48:25.560 --> 0:48:28.400
<v Speaker 1>a lot for a deer. I'm sure it does, but

0:48:28.560 --> 0:48:33.160
<v Speaker 1>I don't think it's as important as as I as

0:48:33.239 --> 0:48:36.359
<v Speaker 1>I think some people think it is. If that makes sense,

0:48:36.440 --> 0:48:39.120
<v Speaker 1>just that's just based on my observations. I'm much more

0:48:39.239 --> 0:48:43.440
<v Speaker 1>interested in the speed and his overall demeanor, which I

0:48:43.520 --> 0:48:46.319
<v Speaker 1>think speed has a great deal to do with. Then

0:48:46.400 --> 0:48:49.520
<v Speaker 1>I am the direction of the wind, So tell me

0:48:49.520 --> 0:48:51.440
<v Speaker 1>a little bit more about that then. So if if

0:48:51.760 --> 0:48:55.080
<v Speaker 1>the speed is really what might be influencing, I mean,

0:48:55.120 --> 0:48:56.960
<v Speaker 1>are you saying my influence whether or not a buck

0:48:57.000 --> 0:48:59.520
<v Speaker 1>were to come out in daylight again, or if you

0:48:59.560 --> 0:49:03.719
<v Speaker 1>know he's will be more active? Absolutely? Yeah. And that's

0:49:04.360 --> 0:49:07.200
<v Speaker 1>combined with a lot of other weather factors, and when

0:49:07.400 --> 0:49:10.479
<v Speaker 1>when a lot of them optimize, that's when you see

0:49:10.920 --> 0:49:14.359
<v Speaker 1>those magical days. It's like, holy shoot. So three shooters tonight,

0:49:14.440 --> 0:49:17.840
<v Speaker 1>you know, or I saw thirty deer, But you know,

0:49:18.360 --> 0:49:20.520
<v Speaker 1>the other night I set the same place, and I

0:49:20.600 --> 0:49:23.239
<v Speaker 1>saw three deer, and you know, a lot of things

0:49:23.280 --> 0:49:26.680
<v Speaker 1>were similar, but all of a sudden when several things optimized,

0:49:26.719 --> 0:49:29.279
<v Speaker 1>like we're about to do that tomorrow and the next

0:49:29.360 --> 0:49:32.399
<v Speaker 1>day at least here in the Midwest, there's a bunch

0:49:32.440 --> 0:49:37.120
<v Speaker 1>of weather factors that are optimizing, and we're we're very

0:49:37.200 --> 0:49:40.000
<v Speaker 1>anxious for this this next three or four day period here,

0:49:40.600 --> 0:49:43.200
<v Speaker 1>can you can you in a way that won't you know,

0:49:43.280 --> 0:49:45.920
<v Speaker 1>give away too much information? Would you be willing to

0:49:46.120 --> 0:49:50.279
<v Speaker 1>walk me through you know what you're how you're gonna

0:49:50.320 --> 0:49:52.680
<v Speaker 1>take advantage of this optimal set of conditions, and how

0:49:52.840 --> 0:49:56.160
<v Speaker 1>you are going to you know, pattern or try to

0:49:56.280 --> 0:49:58.320
<v Speaker 1>take advantage of a pattern that you've been developing with

0:49:58.440 --> 0:49:59.920
<v Speaker 1>with the buck of your own. Is there in the

0:50:00.000 --> 0:50:02.600
<v Speaker 1>example you could share of like this is what he's

0:50:02.640 --> 0:50:04.960
<v Speaker 1>done in the history, this is what the pictures tell me. Now,

0:50:05.160 --> 0:50:08.080
<v Speaker 1>this is how this lines up with the current weather pattern.

0:50:08.200 --> 0:50:10.440
<v Speaker 1>And is there a case study that we have here

0:50:10.480 --> 0:50:17.440
<v Speaker 1>that might work to discuss Uh? No, because of the

0:50:17.920 --> 0:50:20.399
<v Speaker 1>three of the I shouldn't answer it that way. Yes

0:50:20.440 --> 0:50:24.560
<v Speaker 1>there is, but in this year this instance, three of

0:50:24.680 --> 0:50:27.680
<v Speaker 1>the bucks that I'm hunting are bucks that don't home

0:50:27.800 --> 0:50:30.239
<v Speaker 1>core on my farms, like I'm waiting for them to

0:50:30.280 --> 0:50:31.920
<v Speaker 1>show and then I'm gonna go hunt them, and none

0:50:31.960 --> 0:50:36.000
<v Speaker 1>of them are on there right now, so because I

0:50:36.400 --> 0:50:40.360
<v Speaker 1>hunt a lot of small parcels and therefore I'm just

0:50:40.560 --> 0:50:43.239
<v Speaker 1>off oftentimes, so i gotta wait for them to come in.

0:50:44.080 --> 0:50:48.319
<v Speaker 1>Um So, in direct answer to your question, and then

0:50:48.400 --> 0:50:50.719
<v Speaker 1>the other one that I'm hunting, I've really got four

0:50:50.920 --> 0:50:53.440
<v Speaker 1>targets that I'm hunting this year, and the other one

0:50:53.680 --> 0:50:56.279
<v Speaker 1>I think does live there a lot. However, the wind

0:50:56.360 --> 0:50:59.080
<v Speaker 1>direction is completely wrong to hunting over the next few days.

0:50:59.320 --> 0:51:02.400
<v Speaker 1>So um So, that's why my simple answer was no.

0:51:02.800 --> 0:51:07.080
<v Speaker 1>In terms of who I'm hunting right now. However, Mattson

0:51:07.440 --> 0:51:10.200
<v Speaker 1>Perry's got a tag. So there are other bucks that

0:51:10.320 --> 0:51:13.680
<v Speaker 1>I think are going to play quite well through these conditions,

0:51:14.000 --> 0:51:17.120
<v Speaker 1>and that's looking at historical data. They're bucks that have

0:51:17.239 --> 0:51:20.560
<v Speaker 1>been there at their lives and the conditions are lining up.

0:51:20.960 --> 0:51:23.439
<v Speaker 1>If we can put them to bed, we should see

0:51:23.480 --> 0:51:25.600
<v Speaker 1>them and possibly kill them. It's exactly what we did

0:51:25.719 --> 0:51:29.359
<v Speaker 1>last night with Wades. So and the reason I say

0:51:29.400 --> 0:51:33.440
<v Speaker 1>that is because I've had many days over the past

0:51:33.680 --> 0:51:36.719
<v Speaker 1>ten days where I've had a buck early morning on

0:51:36.760 --> 0:51:40.360
<v Speaker 1>a sub cam and go he's not coming out tonight.

0:51:40.400 --> 0:51:43.600
<v Speaker 1>The weather conditions aren't right. I don't think he's gonna

0:51:43.640 --> 0:51:45.759
<v Speaker 1>daylight tonight, and therefore we choose not to go in there,

0:51:45.760 --> 0:51:48.600
<v Speaker 1>and more often than not, he did not. That's going

0:51:48.640 --> 0:51:52.000
<v Speaker 1>to change um here with this weather front, we're gonna

0:51:52.040 --> 0:51:55.880
<v Speaker 1>be below normal temperatures. We've got cold north winds, and

0:51:56.600 --> 0:52:00.439
<v Speaker 1>these weather fronts, I will say that through an union,

0:52:00.480 --> 0:52:03.640
<v Speaker 1>when you get them, they're that much more important because

0:52:04.280 --> 0:52:07.560
<v Speaker 1>we get so few. When you get one, Holy cow, man,

0:52:07.680 --> 0:52:10.200
<v Speaker 1>they're all on the feet, and they're moving a little

0:52:10.200 --> 0:52:12.600
<v Speaker 1>bit further than moving earlier than moving a little farther,

0:52:12.920 --> 0:52:15.239
<v Speaker 1>it's pretty cool. What's about to happen here in the

0:52:15.280 --> 0:52:18.520
<v Speaker 1>middle of So that raises another question. Then we've got

0:52:18.719 --> 0:52:22.040
<v Speaker 1>maybe three main categories of data. I guess you could

0:52:22.080 --> 0:52:24.640
<v Speaker 1>say that might help us make a decision. One of

0:52:24.680 --> 0:52:29.280
<v Speaker 1>those categories is historical data, so past sightings, past pictures.

0:52:30.080 --> 0:52:32.640
<v Speaker 1>This The next thing is like our recent intel. So

0:52:32.800 --> 0:52:34.839
<v Speaker 1>what are our cell cameras are telling us right now?

0:52:35.360 --> 0:52:37.399
<v Speaker 1>Or what is the regular camera that we checked within

0:52:37.480 --> 0:52:39.560
<v Speaker 1>the last few days tell us right now? That's the

0:52:39.600 --> 0:52:42.360
<v Speaker 1>second category, and the third category is all of the

0:52:42.520 --> 0:52:48.440
<v Speaker 1>weather conditioned environment type stuff that might impact something. Now

0:52:48.560 --> 0:52:50.919
<v Speaker 1>that we have that recent you know, now that cell

0:52:51.000 --> 0:52:55.040
<v Speaker 1>cameras have entered the picture, how is that? You know,

0:52:55.360 --> 0:52:58.000
<v Speaker 1>how has that changed the value of one of the

0:52:58.880 --> 0:53:02.480
<v Speaker 1>those different categories. Is historical patterns? Is that less important

0:53:02.520 --> 0:53:06.360
<v Speaker 1>now because you've got this recent intel or is it?

0:53:06.520 --> 0:53:08.640
<v Speaker 1>Is it still on equal plant Is it in equal

0:53:08.680 --> 0:53:13.800
<v Speaker 1>playing field? It just makes it that much more effective

0:53:13.840 --> 0:53:18.440
<v Speaker 1>and validates what your assumptions are much quicker for you, right,

0:53:19.560 --> 0:53:23.239
<v Speaker 1>are invalidates right? So Raconics has a saying, see what

0:53:23.320 --> 0:53:26.080
<v Speaker 1>you've been missing? Well, South Camp's also you have what

0:53:26.280 --> 0:53:30.560
<v Speaker 1>you haven't been missing, Like I've got suitors that we

0:53:30.719 --> 0:53:33.800
<v Speaker 1>had summer to intel on that I have anticipated to

0:53:33.840 --> 0:53:35.920
<v Speaker 1>show up on certain forms that they just haven't yet.

0:53:36.440 --> 0:53:38.480
<v Speaker 1>So it tells you not to go there until they do.

0:53:39.320 --> 0:53:42.920
<v Speaker 1>So the fourth piece of that, you name three very

0:53:42.960 --> 0:53:45.680
<v Speaker 1>important ones. I would divide the weather in the environment

0:53:46.120 --> 0:53:50.239
<v Speaker 1>literally into those two categories. So weather data guess and

0:53:50.360 --> 0:53:53.920
<v Speaker 1>then environment which I always look at prop rotation and mascots,

0:53:53.960 --> 0:53:56.640
<v Speaker 1>so food source. You know, weather is going to affect

0:53:56.680 --> 0:53:59.560
<v Speaker 1>how they feed, what's planted where, and what the mass

0:53:59.600 --> 0:54:04.399
<v Speaker 1>crop is going to affect where they feed. So those

0:54:04.440 --> 0:54:08.160
<v Speaker 1>two things in combination can help you get ahead of

0:54:08.239 --> 0:54:11.600
<v Speaker 1>where he's going to be as as opposed to behind. Yeah,

0:54:12.560 --> 0:54:16.000
<v Speaker 1>what about when some of these things conflict? So what

0:54:16.239 --> 0:54:25.240
<v Speaker 1>if you have a uh, what if the weather is lousy,

0:54:25.800 --> 0:54:27.200
<v Speaker 1>if it's not as good as it should be, but

0:54:27.360 --> 0:54:29.520
<v Speaker 1>you have a two year in a row kind of

0:54:29.560 --> 0:54:32.880
<v Speaker 1>annual pattern that this buck always starts cruising through here

0:54:32.920 --> 0:54:36.759
<v Speaker 1>the last week of October and he's been rock solid here,

0:54:37.239 --> 0:54:41.319
<v Speaker 1>you know, going crazy the last two years, and now

0:54:41.440 --> 0:54:43.919
<v Speaker 1>that arrives this year and you're just not loving the weather.

0:54:44.080 --> 0:54:46.240
<v Speaker 1>But you know the historically he's been moving in daylight

0:54:46.360 --> 0:54:49.120
<v Speaker 1>during that time period. In that kind of example or

0:54:49.200 --> 0:54:52.279
<v Speaker 1>some other example where two or or three of these

0:54:52.320 --> 0:54:56.000
<v Speaker 1>different things don't all line up, do you, dude, which

0:54:56.040 --> 0:54:58.000
<v Speaker 1>do you trust? Like do you always fall back and say, well,

0:54:58.160 --> 0:54:59.759
<v Speaker 1>history says he's going to start moving through here, so

0:54:59.800 --> 0:55:01.839
<v Speaker 1>I to give it a shot, or do you now

0:55:02.040 --> 0:55:05.399
<v Speaker 1>wait until the cell cameras confirm it? You know, irrefutably,

0:55:06.600 --> 0:55:08.320
<v Speaker 1>it's it depends on the time of the year. So

0:55:08.560 --> 0:55:12.160
<v Speaker 1>in answer to that question, at I'm hunting him whether

0:55:12.239 --> 0:55:16.239
<v Speaker 1>it's great weather or not, because his testosterones at a

0:55:16.320 --> 0:55:19.400
<v Speaker 1>level it's gonna kind of trump the weather a little bit.

0:55:19.480 --> 0:55:22.759
<v Speaker 1>You don't need nearly as great a weather to kill

0:55:22.840 --> 0:55:25.040
<v Speaker 1>them then as you do now. When they're in a

0:55:25.120 --> 0:55:27.560
<v Speaker 1>food pattern and moving the hundred yards from their bed

0:55:27.600 --> 0:55:30.160
<v Speaker 1>to their feed each day, even though it's less of

0:55:30.200 --> 0:55:33.440
<v Speaker 1>a distance, it takes much better conditions for them to daylight.

0:55:33.560 --> 0:55:36.080
<v Speaker 1>And I'm I'm speaking in terms of older deer. That

0:55:36.360 --> 0:55:38.560
<v Speaker 1>doesn't mean that a year and a half or two

0:55:38.600 --> 0:55:40.279
<v Speaker 1>and a half won't do it. But if you're hunting

0:55:40.360 --> 0:55:42.600
<v Speaker 1>five or six year old deer, man, things better be

0:55:42.840 --> 0:55:45.920
<v Speaker 1>awfully perfect to get that sucker up and seem during daylight,

0:55:45.960 --> 0:55:49.719
<v Speaker 1>because they're walking slow, they stand up, they stretch, they

0:55:49.800 --> 0:55:53.840
<v Speaker 1>browse around. They're just late moving during daylight, you know.

0:55:53.920 --> 0:55:57.680
<v Speaker 1>And it's it's very difficult to get close enough to

0:55:57.840 --> 0:56:02.200
<v Speaker 1>see a deer of age six of an evening or

0:56:02.280 --> 0:56:05.880
<v Speaker 1>of a morning. It's extremely difficult to get in that

0:56:06.160 --> 0:56:09.440
<v Speaker 1>short period are a short distance that they're going to

0:56:09.520 --> 0:56:12.279
<v Speaker 1>move during daylight. It's much easier to do so in

0:56:12.400 --> 0:56:16.719
<v Speaker 1>late October earlier November, when the distance increases and when

0:56:16.840 --> 0:56:21.400
<v Speaker 1>testosterone is higher and they're actually moving moving better. You know,

0:56:21.520 --> 0:56:24.399
<v Speaker 1>they just move better this time of the year. They're finicky. Man,

0:56:24.520 --> 0:56:26.719
<v Speaker 1>it's got to be all the all systems have to

0:56:26.800 --> 0:56:29.600
<v Speaker 1>be green light to really expect to see a deer

0:56:29.640 --> 0:56:33.560
<v Speaker 1>of that age class. So I answered that a little long,

0:56:33.800 --> 0:56:38.960
<v Speaker 1>but I believe that's the correct answer to your question. Yeah, yeah,

0:56:38.960 --> 0:56:42.520
<v Speaker 1>I follow you kind of back to the annual pattern thing.

0:56:42.880 --> 0:56:45.400
<v Speaker 1>One other thing, I'm curious about how cell cameras have

0:56:47.120 --> 0:56:49.080
<v Speaker 1>I guess you kind of said it. Sometimes they confirm

0:56:49.160 --> 0:56:51.800
<v Speaker 1>what you what you believe, or you confirm your assumptions.

0:56:51.880 --> 0:56:56.680
<v Speaker 1>But how has your thoughts on annual patterns evolved over

0:56:56.719 --> 0:56:59.320
<v Speaker 1>the years, especially now that you maybe we can confirm

0:56:59.400 --> 0:57:03.440
<v Speaker 1>them or or disprove them more accurately. Do you do

0:57:03.520 --> 0:57:06.520
<v Speaker 1>you still see this to be a a pretty consistent

0:57:06.680 --> 0:57:11.719
<v Speaker 1>thing that you can plan on. And how how tight

0:57:12.320 --> 0:57:15.399
<v Speaker 1>of a repeat have you, you know, now seen things

0:57:15.480 --> 0:57:17.080
<v Speaker 1>to be. Do you look at this and think, ma'am,

0:57:17.560 --> 0:57:19.800
<v Speaker 1>if they did it the last year, they're likely to

0:57:19.840 --> 0:57:22.400
<v Speaker 1>do it again on the same day, the same week,

0:57:22.760 --> 0:57:28.040
<v Speaker 1>the same condition. Like what, I guess give me more

0:57:28.040 --> 0:57:31.280
<v Speaker 1>on any better? I hear you and I get where

0:57:31.320 --> 0:57:35.720
<v Speaker 1>you're going. And yes, I still believe that with every

0:57:35.840 --> 0:57:40.400
<v Speaker 1>fiber of my being. However, there are factors that affected slightly.

0:57:40.920 --> 0:57:43.440
<v Speaker 1>And I've mentioned in a few times in our conversation

0:57:44.240 --> 0:57:48.840
<v Speaker 1>the environment with mass crop and and overall. You know,

0:57:49.040 --> 0:57:53.000
<v Speaker 1>crop rotation affects it, cover affects it. You know, a

0:57:53.080 --> 0:57:56.600
<v Speaker 1>farmer cutting a field one year, here's a great example,

0:57:57.480 --> 0:58:00.400
<v Speaker 1>um brush got out of control on the CRP farm

0:58:01.160 --> 0:58:03.720
<v Speaker 1>and that's where the buck was betting. And ff A

0:58:03.840 --> 0:58:06.440
<v Speaker 1>got on that farmer's tail and said, you've got to

0:58:06.480 --> 0:58:09.560
<v Speaker 1>clean that brusho off of their Last year it was

0:58:09.600 --> 0:58:12.919
<v Speaker 1>all six but tall. This year it is seven inches tall.

0:58:13.360 --> 0:58:17.720
<v Speaker 1>Those types of factors affect deer's bed and behavior greatly.

0:58:17.840 --> 0:58:22.200
<v Speaker 1>So your overall awareness to your environment is just as

0:58:22.240 --> 0:58:24.920
<v Speaker 1>important to the patterning of a deer as it is

0:58:25.080 --> 0:58:27.720
<v Speaker 1>sitting in a computer and writing down all your notes

0:58:27.760 --> 0:58:30.560
<v Speaker 1>and then looking at the notes and then looking backwards,

0:58:30.920 --> 0:58:34.840
<v Speaker 1>like I always say, why, no matter whether it's a

0:58:34.920 --> 0:58:38.400
<v Speaker 1>picture or a siting or anything else, why is he

0:58:38.560 --> 0:58:41.080
<v Speaker 1>doing what he's doing today, whether that be direction of travel,

0:58:41.120 --> 0:58:45.360
<v Speaker 1>whether that be moving, whether that be not moving, whether

0:58:45.520 --> 0:58:47.320
<v Speaker 1>that be a neighbor saying, hey, I just saw this

0:58:47.400 --> 0:58:49.120
<v Speaker 1>certain deer and you go, wait a minute, that's the

0:58:49.160 --> 0:58:51.240
<v Speaker 1>deer I'm hunting over here. You know, I always go

0:58:51.440 --> 0:58:56.000
<v Speaker 1>why what made things happen, whether that be something that

0:58:56.160 --> 0:59:00.960
<v Speaker 1>happened consistently or whether it's something that changed. So, yes,

0:59:01.080 --> 0:59:03.120
<v Speaker 1>I believe it with every fiber of my being, but

0:59:03.680 --> 0:59:06.240
<v Speaker 1>you also have to be very nimble in the moment

0:59:06.480 --> 0:59:10.560
<v Speaker 1>to accept change and go, dang it, my plan that

0:59:10.640 --> 0:59:13.520
<v Speaker 1>I made in July in August is not coming to fruition.

0:59:14.240 --> 0:59:16.520
<v Speaker 1>Why is it not coming to fruition? I had all

0:59:16.600 --> 0:59:18.240
<v Speaker 1>this laid out, Man, I was gonna kill him on

0:59:18.320 --> 0:59:21.720
<v Speaker 1>October the five. Well, why aren't you killing him? Um?

0:59:22.760 --> 0:59:26.960
<v Speaker 1>There there's reasons because they it's the chess match that

0:59:27.400 --> 0:59:32.480
<v Speaker 1>I think people get so addicted to. UM. So if

0:59:32.560 --> 0:59:34.520
<v Speaker 1>you figure out the wise, and the more of the

0:59:34.600 --> 0:59:37.160
<v Speaker 1>wise that you figure out, the more dear and the

0:59:37.200 --> 0:59:41.800
<v Speaker 1>more mature dear you're you're gonna kill. So so let's

0:59:41.840 --> 0:59:45.560
<v Speaker 1>go back to a little bit of the um, you know,

0:59:45.680 --> 0:59:51.240
<v Speaker 1>the analyzing of all this data. So there's these different

0:59:51.320 --> 0:59:54.600
<v Speaker 1>categories of data we've we've been discussing, and then there's

0:59:54.640 --> 0:59:57.280
<v Speaker 1>what's gonna happen tomorrow or what's gonna happen next week,

0:59:57.320 --> 0:59:59.280
<v Speaker 1>and we're trying to decide, okay, based on all this

0:59:59.400 --> 1:00:01.840
<v Speaker 1>data we have of what's he gonna do tomorrow? And

1:00:01.880 --> 1:00:06.480
<v Speaker 1>where stead I hunt? There's these different pieces of data

1:00:06.480 --> 1:00:09.520
<v Speaker 1>that we can connect back to, back to history. So

1:00:09.680 --> 1:00:12.440
<v Speaker 1>back to the picture we got yesterday, or back to

1:00:12.520 --> 1:00:16.040
<v Speaker 1>the pattern he had last year. How tight of a

1:00:16.400 --> 1:00:18.680
<v Speaker 1>connection or how many of these things have to line

1:00:18.760 --> 1:00:20.760
<v Speaker 1>up before you were to go in there. And so

1:00:20.960 --> 1:00:24.680
<v Speaker 1>my example would be, let's say you're trying to decide

1:00:24.680 --> 1:00:26.800
<v Speaker 1>where to hunt the first week in October. Let's let's

1:00:26.800 --> 1:00:29.600
<v Speaker 1>say later we'll say that, you know, last week of October,

1:00:30.240 --> 1:00:33.920
<v Speaker 1>and you have daylight pictures of him, you know, yesterday

1:00:33.960 --> 1:00:37.000
<v Speaker 1>and the day before with a certain wind speed and

1:00:37.760 --> 1:00:41.440
<v Speaker 1>you know, good cold front kind of conditions that came

1:00:41.480 --> 1:00:43.840
<v Speaker 1>passing through. Now you're saying, what should I do the

1:00:43.920 --> 1:00:45.880
<v Speaker 1>next day? If the next day, if if you don't

1:00:45.960 --> 1:00:49.760
<v Speaker 1>have that same condition, the same set of conditions in place,

1:00:50.360 --> 1:00:52.400
<v Speaker 1>do you still move on it? Or do you want

1:00:52.440 --> 1:00:55.600
<v Speaker 1>to have like Okay, I want the same location matched

1:00:55.640 --> 1:00:58.160
<v Speaker 1>up with the same conditions before I jump in there

1:00:58.200 --> 1:01:02.640
<v Speaker 1>and try to kill him again. I generally it's more

1:01:02.720 --> 1:01:05.880
<v Speaker 1>often than not, you know, it's it's really about the weather.

1:01:06.000 --> 1:01:08.480
<v Speaker 1>For me, Like, as you know, I am a slave

1:01:08.600 --> 1:01:10.160
<v Speaker 1>to it. And I mean it's why we create a

1:01:10.240 --> 1:01:13.600
<v Speaker 1>deer cast. Like I firmly believe that there are windows

1:01:13.640 --> 1:01:17.320
<v Speaker 1>of opportunity each year that you're given with a daylight opportunity,

1:01:17.480 --> 1:01:21.439
<v Speaker 1>and that all revolves around the weather and how close

1:01:21.520 --> 1:01:24.480
<v Speaker 1>you can get to that dear's bed depending on the

1:01:24.600 --> 1:01:27.400
<v Speaker 1>time of the year and and how far they're moving

1:01:27.440 --> 1:01:31.920
<v Speaker 1>at that time of the year. So I'm pretty pretty

1:01:31.960 --> 1:01:34.600
<v Speaker 1>discipline when it comes to making sure it's the right

1:01:34.640 --> 1:01:38.480
<v Speaker 1>opportunity because I go back to my statement earlier saying

1:01:39.040 --> 1:01:41.240
<v Speaker 1>I never want them to know that they're being hunted

1:01:41.280 --> 1:01:44.200
<v Speaker 1>like that's I just I don't want them to kill

1:01:44.280 --> 1:01:47.200
<v Speaker 1>me right like I'm trying to kill them. So in

1:01:47.360 --> 1:01:51.520
<v Speaker 1>my mind, it's this me against them game of chess,

1:01:52.280 --> 1:01:55.000
<v Speaker 1>and I want to be the one saying checkmate. I

1:01:55.120 --> 1:01:58.280
<v Speaker 1>want to be the one. I don't want him to

1:01:58.320 --> 1:02:01.560
<v Speaker 1>smell me, because to me, if a deer smells me

1:02:01.640 --> 1:02:04.480
<v Speaker 1>and figures me out like it's it's just dangner over

1:02:04.560 --> 1:02:06.680
<v Speaker 1>every time. I don't know if you've noticed that through time,

1:02:06.720 --> 1:02:09.560
<v Speaker 1>but when they when they get you, they got you,

1:02:10.040 --> 1:02:13.440
<v Speaker 1>So don't let them get you. Said, that's that should

1:02:13.440 --> 1:02:17.720
<v Speaker 1>be a tee shirt when they get the gut because man,

1:02:17.800 --> 1:02:20.200
<v Speaker 1>when they figured you out. Buddy, they're a lot better.

1:02:20.480 --> 1:02:22.160
<v Speaker 1>They're a lot better at this than we are. And

1:02:22.200 --> 1:02:24.760
<v Speaker 1>they're good at living. I said all the time. They

1:02:24.800 --> 1:02:27.560
<v Speaker 1>are good at living, and they're terrible at dying. I mean,

1:02:27.640 --> 1:02:30.240
<v Speaker 1>it is hard to kill a mature dear. And if

1:02:30.320 --> 1:02:34.400
<v Speaker 1>you mess up and goof him up man alive, does

1:02:34.440 --> 1:02:36.920
<v Speaker 1>it make him tougher that year and years years in

1:02:36.960 --> 1:02:40.920
<v Speaker 1>the future. So I'm always I'm always betting on the

1:02:41.000 --> 1:02:45.360
<v Speaker 1>come and betting terms. So I'm waiting, I'm waiting, I'm waiting,

1:02:45.400 --> 1:02:47.960
<v Speaker 1>and I try to strike when when things line up,

1:02:48.000 --> 1:02:50.280
<v Speaker 1>I want optimized everything to go in there and try

1:02:50.320 --> 1:02:55.280
<v Speaker 1>and kill that deer. That's just me um. So you know,

1:02:55.920 --> 1:02:59.160
<v Speaker 1>other days I'm out shooting those other days I'm filming someone.

1:02:59.280 --> 1:03:02.040
<v Speaker 1>But if it's a specific target that I'm trying to hunt,

1:03:02.720 --> 1:03:05.959
<v Speaker 1>I actually hunt him very few days, if that makes sense.

1:03:06.040 --> 1:03:08.280
<v Speaker 1>I think back to the deer I've killed over the

1:03:08.360 --> 1:03:12.640
<v Speaker 1>last few years. I've spent very few days actually where

1:03:12.800 --> 1:03:16.920
<v Speaker 1>I thought I was going to kill him. You got

1:03:17.000 --> 1:03:20.560
<v Speaker 1>a target buck that shows up, you get sell picture

1:03:20.600 --> 1:03:23.120
<v Speaker 1>of him. Let's say two days in a row with

1:03:24.120 --> 1:03:29.040
<v Speaker 1>north wind, nice good weather, and for whatever reason, you

1:03:29.200 --> 1:03:32.160
<v Speaker 1>you couldn't be out hunting in this location because you

1:03:32.320 --> 1:03:34.800
<v Speaker 1>went to Texas or you were somewhere else. But he's

1:03:34.880 --> 1:03:39.160
<v Speaker 1>day letting twice in a row, day three totally different

1:03:39.200 --> 1:03:42.920
<v Speaker 1>conditions though not as good, but he was daylight two

1:03:43.000 --> 1:03:47.400
<v Speaker 1>days in a row. Are you Are you saying drop wind, speed,

1:03:47.520 --> 1:03:52.280
<v Speaker 1>dropped clouds, rolled in, Yeah, or I may not go

1:03:52.440 --> 1:03:54.640
<v Speaker 1>try him, but you're already behind a little bit like

1:03:55.320 --> 1:03:58.640
<v Speaker 1>that's have you ever noticed about a mature buck? They

1:03:58.880 --> 1:04:03.760
<v Speaker 1>seldom almost never daylight every single day for a week, right,

1:04:04.320 --> 1:04:07.000
<v Speaker 1>If you you know you'll get a day here and

1:04:07.080 --> 1:04:09.600
<v Speaker 1>a day there, there's some randomness to win their daylight.

1:04:09.960 --> 1:04:12.800
<v Speaker 1>And that again, it's another reason we did our predicted model.

1:04:13.200 --> 1:04:15.760
<v Speaker 1>It's like, why why did you day Oh? There, it

1:04:15.920 --> 1:04:17.240
<v Speaker 1>is there, it is there, it is You put it

1:04:17.320 --> 1:04:20.400
<v Speaker 1>all together in an algorithm with thirteen different variables, and

1:04:21.000 --> 1:04:23.640
<v Speaker 1>we try to help people predict when the best movement's

1:04:23.680 --> 1:04:26.160
<v Speaker 1>going to be when the optimized conditions are there. So

1:04:26.560 --> 1:04:29.480
<v Speaker 1>I'm trying to pick those days for me personally, and

1:04:29.520 --> 1:04:33.400
<v Speaker 1>I'm using historical data that I've compiled on that deer,

1:04:33.640 --> 1:04:36.840
<v Speaker 1>on that farm, on the crops, everything all combined together

1:04:37.280 --> 1:04:39.840
<v Speaker 1>to go there it is. There's the day. Here's where

1:04:39.840 --> 1:04:43.280
<v Speaker 1>I'm gonna try and just try to be right more

1:04:43.360 --> 1:04:45.760
<v Speaker 1>than you are wrong. But I'm still wrong a heck

1:04:45.840 --> 1:04:47.600
<v Speaker 1>of a lot more than I'm right. I still I

1:04:47.720 --> 1:04:50.800
<v Speaker 1>make a lot of bad judgments. We all are right,

1:04:50.880 --> 1:04:53.520
<v Speaker 1>you know, like in in baseball they say you're very

1:04:53.560 --> 1:04:55.880
<v Speaker 1>successful if you get you know, you're about two fifty.

1:04:55.920 --> 1:04:59.000
<v Speaker 1>Your your successful one fourth at the time. Well, and

1:04:59.240 --> 1:05:01.560
<v Speaker 1>in hunting, what would it be it was one hundreds

1:05:01.560 --> 1:05:05.480
<v Speaker 1>of a time. You know, it's you're batting, you're batting

1:05:05.560 --> 1:05:07.760
<v Speaker 1>under a hundred. I know that for a mature buck,

1:05:07.920 --> 1:05:11.960
<v Speaker 1>you're batting way under average, very low. If you just

1:05:12.400 --> 1:05:16.360
<v Speaker 1>what do you get the whole season? Maybe a chance

1:05:16.480 --> 1:05:20.680
<v Speaker 1>to a chance to two or three and that's you know,

1:05:20.800 --> 1:05:23.200
<v Speaker 1>that's hunting a lot. You don't get many chances. So

1:05:24.080 --> 1:05:26.480
<v Speaker 1>when you take your shot, you know you need to

1:05:26.520 --> 1:05:28.360
<v Speaker 1>try and have everything in your favor that you can.

1:05:29.000 --> 1:05:32.000
<v Speaker 1>And that's one side of the equation. The other side

1:05:32.040 --> 1:05:36.480
<v Speaker 1>of the equation is persistence and the numbers game does

1:05:36.560 --> 1:05:39.560
<v Speaker 1>come up, there's a d factor and everything. In fact

1:05:39.840 --> 1:05:41.960
<v Speaker 1>that night that I sat there and I saw that target.

1:05:42.000 --> 1:05:45.280
<v Speaker 1>In my pre hunt interview, I talked about I haven't

1:05:45.280 --> 1:05:47.520
<v Speaker 1>had a daylight photo of this deer. I've had one

1:05:47.600 --> 1:05:50.040
<v Speaker 1>in the last month since he shut his velvet. I

1:05:50.080 --> 1:05:52.720
<v Speaker 1>had had one daylight photo of him. And I said,

1:05:53.280 --> 1:05:55.640
<v Speaker 1>but I believe he's here because I'm getting nighttime photos

1:05:56.040 --> 1:05:58.120
<v Speaker 1>and there is a dow factor in hunting, and he's

1:05:58.120 --> 1:06:01.440
<v Speaker 1>gonna daylight again soon. Sure enough, he daylighted that night

1:06:01.520 --> 1:06:03.680
<v Speaker 1>and I goofed it up. I jacked it up terribly.

1:06:04.080 --> 1:06:06.560
<v Speaker 1>But the two factor does come into play. But I

1:06:06.680 --> 1:06:10.040
<v Speaker 1>have a locked in, freaking access. I had a perfect

1:06:10.120 --> 1:06:13.320
<v Speaker 1>wind speed, I had a perfect wind direction to access it,

1:06:13.600 --> 1:06:15.840
<v Speaker 1>so I felt safely that I could get there and

1:06:15.880 --> 1:06:18.840
<v Speaker 1>then leave into that what is kind of a quasi

1:06:19.280 --> 1:06:22.520
<v Speaker 1>observation set. Yet I might still kill him here. Well,

1:06:22.880 --> 1:06:25.840
<v Speaker 1>it worked, but I goofed it up. So there's one

1:06:25.880 --> 1:06:28.240
<v Speaker 1>of my chances this year. I know that I knew

1:06:28.400 --> 1:06:31.240
<v Speaker 1>when it happened, got out there, I'm like, that's one

1:06:31.320 --> 1:06:33.960
<v Speaker 1>of my few opportunities I'll have. And he's he's a

1:06:34.200 --> 1:06:36.280
<v Speaker 1>he's a whopper man. This steer is really really big,

1:06:36.400 --> 1:06:40.240
<v Speaker 1>and I jacked it up. I left there that night

1:06:40.480 --> 1:06:43.080
<v Speaker 1>thinking I'll probably not have that chance again this year.

1:06:43.240 --> 1:06:47.160
<v Speaker 1>That was my exact thoughts. So when you have this

1:06:47.320 --> 1:06:49.240
<v Speaker 1>is this is off topic, but I can't help it.

1:06:49.320 --> 1:06:53.680
<v Speaker 1>Ask like, when you have something like that happened, even

1:06:54.080 --> 1:06:56.960
<v Speaker 1>someone has experienced and who has had as much success

1:06:57.000 --> 1:07:01.160
<v Speaker 1>as you have, how do you, like says, deal with

1:07:01.360 --> 1:07:03.240
<v Speaker 1>that and move on from it? Like, how how did

1:07:03.280 --> 1:07:05.480
<v Speaker 1>you handle that night sitting and sitting in bed at

1:07:05.520 --> 1:07:07.880
<v Speaker 1>home after you had this monster within range and you

1:07:08.000 --> 1:07:13.040
<v Speaker 1>couldn't pull it together? What what do you do? Closer?

1:07:13.080 --> 1:07:15.720
<v Speaker 1>In baseball's mentality, I have a lot of baseball analogies

1:07:15.760 --> 1:07:18.280
<v Speaker 1>because I I watched every single pitch of every Cardinal

1:07:18.360 --> 1:07:21.120
<v Speaker 1>game since I was like Ted right, I'd love baseball.

1:07:21.440 --> 1:07:25.520
<v Speaker 1>So closer's mentality really terrible memory. Get over it quickly

1:07:25.680 --> 1:07:27.920
<v Speaker 1>and move on. That's the best thing you can do

1:07:28.720 --> 1:07:31.720
<v Speaker 1>um when it happens, because if you if you wear it,

1:07:31.840 --> 1:07:33.560
<v Speaker 1>if it's in your mind and it's working on you,

1:07:33.840 --> 1:07:35.520
<v Speaker 1>you're gonna goose the next one up and the next

1:07:35.560 --> 1:07:37.760
<v Speaker 1>one up. Like you have to get over it within

1:07:37.880 --> 1:07:41.000
<v Speaker 1>seconds and move on. That's all you can do. It happened,

1:07:41.360 --> 1:07:44.240
<v Speaker 1>It's ancient history. Now use it to better yourself in

1:07:44.280 --> 1:07:50.320
<v Speaker 1>the next situation. But get eliminate emotion from making mistakes.

1:07:50.880 --> 1:07:52.880
<v Speaker 1>You have to or it will eat you up the

1:07:52.960 --> 1:07:56.120
<v Speaker 1>full season. You're gonna goof it up. Trust me on experience,

1:07:56.120 --> 1:07:58.640
<v Speaker 1>because when I was younger, I was I was the

1:07:58.880 --> 1:08:01.640
<v Speaker 1>dumbest hunter man. I get so mad at situations because

1:08:02.080 --> 1:08:04.520
<v Speaker 1>those bucks met so much to me. Right well, as

1:08:04.560 --> 1:08:06.800
<v Speaker 1>I've aged, I've learned that you've got to get over

1:08:06.880 --> 1:08:09.400
<v Speaker 1>and move on to the next, the next opportunity, because

1:08:09.440 --> 1:08:11.520
<v Speaker 1>if you're not thinking with a clear head, you're not

1:08:11.600 --> 1:08:13.760
<v Speaker 1>gonna put yourself in the right position the next time.

1:08:13.960 --> 1:08:16.080
<v Speaker 1>And that's that's kind of mental side of the game.

1:08:16.320 --> 1:08:18.040
<v Speaker 1>We're getting off topic here a little bit, but I

1:08:18.160 --> 1:08:20.639
<v Speaker 1>think it is a very important part of the game,

1:08:21.160 --> 1:08:24.760
<v Speaker 1>is keeping a clear head and keeping a positive attitude.

1:08:25.240 --> 1:08:28.880
<v Speaker 1>I can't tell you I'm like a very optimistic person

1:08:28.920 --> 1:08:32.800
<v Speaker 1>in general. And like I've learned a long time ago

1:08:33.000 --> 1:08:37.240
<v Speaker 1>from a legend in our county, Paul sex Are. I

1:08:37.439 --> 1:08:40.920
<v Speaker 1>was like maybe fourteen or fifteen, and he took the

1:08:41.000 --> 1:08:43.599
<v Speaker 1>time to sit down and talk to me about turkey

1:08:43.680 --> 1:08:45.880
<v Speaker 1>hunting and turkey hunting tactics, and the one thing that

1:08:45.960 --> 1:08:50.280
<v Speaker 1>he said in that moment that night I had with him,

1:08:50.360 --> 1:08:53.000
<v Speaker 1>he said, and it was really Joe, his brother that

1:08:53.080 --> 1:08:55.400
<v Speaker 1>pointed it out. He said, Paul hunts like he's about

1:08:55.439 --> 1:08:58.840
<v Speaker 1>to kill a turkey every single second of every single hunt,

1:08:59.280 --> 1:09:03.280
<v Speaker 1>and that's kill so many and that type of focus

1:09:03.360 --> 1:09:06.559
<v Speaker 1>and so it's reality you're talking about focus that will

1:09:06.640 --> 1:09:10.599
<v Speaker 1>help you kill more game, especially with a positive attitude.

1:09:10.880 --> 1:09:12.800
<v Speaker 1>I'm gonna kill him. I know I'm gonna kill him.

1:09:12.840 --> 1:09:15.439
<v Speaker 1>He's here tonight. And you know what, Mark, I didn't

1:09:15.520 --> 1:09:18.080
<v Speaker 1>have that on October the second I mentioned before we

1:09:18.160 --> 1:09:20.320
<v Speaker 1>got on the phone. I went in a little rusty.

1:09:20.400 --> 1:09:23.160
<v Speaker 1>This was my only second set of the season, and

1:09:23.800 --> 1:09:26.960
<v Speaker 1>I was a little nonchalant about things that night, and

1:09:27.080 --> 1:09:29.360
<v Speaker 1>it cost me a giant I should have been ready,

1:09:29.479 --> 1:09:32.040
<v Speaker 1>I should have lived by the advice that I've lived

1:09:32.080 --> 1:09:34.800
<v Speaker 1>by for all these years. And I didn't, and it

1:09:35.000 --> 1:09:37.160
<v Speaker 1>cost me a deer. I didn't even get my bow drawn.

1:09:37.200 --> 1:09:40.120
<v Speaker 1>I was so little prepared, and you know, and I've

1:09:40.160 --> 1:09:43.160
<v Speaker 1>been in that situation a lot of times, but my

1:09:43.320 --> 1:09:45.720
<v Speaker 1>mental games sucked that night and it cost me a deer.

1:09:46.120 --> 1:09:48.200
<v Speaker 1>So it's not meat. But you know what, by the

1:09:48.280 --> 1:09:50.080
<v Speaker 1>time I got to the truck was over it and

1:09:50.200 --> 1:09:52.360
<v Speaker 1>I was thinking about the weather for the next night's time.

1:09:52.640 --> 1:09:55.559
<v Speaker 1>I have learned that, like you gotta have a closer mentality,

1:09:55.840 --> 1:10:12.320
<v Speaker 1>get over it quickly. Yeah, that's that's great advice. So,

1:10:12.800 --> 1:10:15.120
<v Speaker 1>speaking of your target Bucks, I did want to return

1:10:15.200 --> 1:10:17.960
<v Speaker 1>to a question I had related to your other target bucks.

1:10:18.040 --> 1:10:20.680
<v Speaker 1>You mentioned how most of these deer are all like,

1:10:20.880 --> 1:10:23.880
<v Speaker 1>not homebodies. They live somewhere else and they just occasionally

1:10:23.960 --> 1:10:27.040
<v Speaker 1>come into your neck of the woods. How does your

1:10:27.080 --> 1:10:30.599
<v Speaker 1>approach to patterning a deer change in that scenario when

1:10:30.640 --> 1:10:32.599
<v Speaker 1>you when you have a deer that you know it's

1:10:32.640 --> 1:10:35.719
<v Speaker 1>just an infrequent visitor. Does does anything we've talked about

1:10:36.040 --> 1:10:40.720
<v Speaker 1>Is it different because of that circumstance in anyway? Deeper dive, man,

1:10:40.920 --> 1:10:43.960
<v Speaker 1>deeper dive find every That's why I keep every picture.

1:10:44.800 --> 1:10:47.599
<v Speaker 1>They're on their seldom. So every piece of every piece

1:10:47.640 --> 1:10:50.519
<v Speaker 1>of the puzzle you get is so much more important

1:10:50.600 --> 1:10:52.680
<v Speaker 1>than a homeboy who you get all the time. Right,

1:10:52.760 --> 1:10:56.560
<v Speaker 1>It's like, um, you know, it's like that friend that

1:10:56.720 --> 1:10:58.400
<v Speaker 1>you can see every day at the bar and go

1:10:58.600 --> 1:11:01.800
<v Speaker 1>have a beer with him. You know what he's gonna do, right,

1:11:01.840 --> 1:11:03.280
<v Speaker 1>you know when he's gonna be there. You know what

1:11:03.360 --> 1:11:04.880
<v Speaker 1>he's gonna say when you sit down and have the

1:11:05.439 --> 1:11:07.680
<v Speaker 1>beer with him. You know what stories he's gonna tell

1:11:07.720 --> 1:11:11.400
<v Speaker 1>when he's had too many beers. Okay, the guy that

1:11:11.520 --> 1:11:14.840
<v Speaker 1>you only see once a year, you can't wait to

1:11:14.880 --> 1:11:17.040
<v Speaker 1>have that conversation. What are you gonna learn new? And

1:11:17.400 --> 1:11:19.479
<v Speaker 1>you you're a little bit more in tune with that

1:11:19.640 --> 1:11:23.400
<v Speaker 1>guy because it's it's it's something that occurs seldom. So

1:11:23.560 --> 1:11:26.200
<v Speaker 1>there far, I have files on all of these deer.

1:11:26.560 --> 1:11:29.000
<v Speaker 1>I know exactly when I've had pictures of them in

1:11:29.040 --> 1:11:31.120
<v Speaker 1>the past. I know what the conditions were, I know

1:11:31.200 --> 1:11:35.320
<v Speaker 1>what the crop rotation was. And in fact, the deer

1:11:35.640 --> 1:11:38.280
<v Speaker 1>that I'm what I would consider my number one targets,

1:11:38.360 --> 1:11:41.720
<v Speaker 1>he's really really large, but he was he was only

1:11:41.800 --> 1:11:43.840
<v Speaker 1>on me I think, based on what I can tell

1:11:44.120 --> 1:11:47.960
<v Speaker 1>a few hours last season. However, when the crop rotation

1:11:48.080 --> 1:11:50.920
<v Speaker 1>was the same in two thousand and twenty, he was

1:11:51.000 --> 1:11:54.599
<v Speaker 1>on me several days. So therefore my confidence is much

1:11:54.680 --> 1:11:58.439
<v Speaker 1>higher about him this year. Who he is aged, he

1:11:58.600 --> 1:12:02.000
<v Speaker 1>is aged, he was five six, he's seven and a

1:12:02.040 --> 1:12:04.920
<v Speaker 1>half this year. My confidence is fairly high that when

1:12:04.920 --> 1:12:07.679
<v Speaker 1>he gets to my farm, he if he's still alive,

1:12:07.840 --> 1:12:09.920
<v Speaker 1>is if he hasn't been killed by another hunter or

1:12:09.960 --> 1:12:11.800
<v Speaker 1>a car or e h D or something like that.

1:12:12.320 --> 1:12:15.559
<v Speaker 1>If I get him I think he may stay enough

1:12:15.680 --> 1:12:19.080
<v Speaker 1>days that I'll possibly have a shot at him. So

1:12:19.840 --> 1:12:22.880
<v Speaker 1>that goes back to that environment. Cross rotation is exactly

1:12:22.960 --> 1:12:24.960
<v Speaker 1>what it was in two thousand and twenty, not only

1:12:25.040 --> 1:12:27.479
<v Speaker 1>on my farm but all of the surrounding area because

1:12:27.520 --> 1:12:31.120
<v Speaker 1>I look at everything when it comes to deer hunting. Okay,

1:12:31.200 --> 1:12:33.360
<v Speaker 1>so I know this is going to be situation dependent.

1:12:33.600 --> 1:12:36.760
<v Speaker 1>But if we had to generalize, if you have a

1:12:36.800 --> 1:12:41.240
<v Speaker 1>buck like this, do you in this kind of case

1:12:41.360 --> 1:12:43.280
<v Speaker 1>in the world of cell cameras, are you always going

1:12:43.360 --> 1:12:45.960
<v Speaker 1>to wait until you get the camera pictures say always back?

1:12:46.320 --> 1:12:48.680
<v Speaker 1>Or is that sometimes too late? I want to be

1:12:48.800 --> 1:12:52.719
<v Speaker 1>the camera, so I'm gonna be sitting there waiting because

1:12:52.760 --> 1:12:55.360
<v Speaker 1>I've never taken very many pictures of him, so I

1:12:55.479 --> 1:12:57.840
<v Speaker 1>damn well better be there the day I do. So

1:12:57.880 --> 1:13:00.519
<v Speaker 1>I'm gonna use historical data to be there and try

1:13:00.560 --> 1:13:03.040
<v Speaker 1>and be the camera. If that makes sense. So is

1:13:03.080 --> 1:13:06.720
<v Speaker 1>it different different type buck, different type personality? Man? If

1:13:06.760 --> 1:13:09.680
<v Speaker 1>you miss your opportunity, you're out. I've got great locations,

1:13:09.760 --> 1:13:12.559
<v Speaker 1>I've got great access in and out. I'm gonna use them.

1:13:12.560 --> 1:13:14.920
<v Speaker 1>I'm gonna hut them, and I'm gonna hunt on much.

1:13:16.000 --> 1:13:19.240
<v Speaker 1>I will take my shots on lesser weather than what

1:13:19.360 --> 1:13:22.120
<v Speaker 1>I normally would on a homeboy. On a homeboy that's

1:13:22.160 --> 1:13:24.880
<v Speaker 1>not leaving, I don't want to run him out on

1:13:24.960 --> 1:13:27.439
<v Speaker 1>a deer that seldom there. I better be there when

1:13:27.479 --> 1:13:32.400
<v Speaker 1>he's there. So I'm gonna hunt a little more often. Okay, Um,

1:13:33.320 --> 1:13:35.519
<v Speaker 1>what about you know, we've we've talked a lot about

1:13:35.840 --> 1:13:39.080
<v Speaker 1>how patterning, you know, can be a pretty important thing

1:13:39.160 --> 1:13:41.640
<v Speaker 1>in these earlier parts of the year, but when we

1:13:41.680 --> 1:13:43.960
<v Speaker 1>get into the rut, things are a little bit different.

1:13:44.320 --> 1:13:48.160
<v Speaker 1>How how does your approach to patterning deer change once

1:13:48.200 --> 1:13:50.040
<v Speaker 1>we get into those rut phases? And and do you

1:13:50.120 --> 1:13:51.960
<v Speaker 1>even think you can pattern a deer during the rut?

1:13:53.000 --> 1:13:59.360
<v Speaker 1>My pattern changes ahead to texas well? There it is, there,

1:13:59.400 --> 1:14:02.640
<v Speaker 1>it is. I am one of those guys that I

1:14:03.360 --> 1:14:06.720
<v Speaker 1>don't want to say I hate the rut, but I

1:14:07.320 --> 1:14:10.880
<v Speaker 1>much prefer hunting October and December O October and deer

1:14:10.920 --> 1:14:15.360
<v Speaker 1>scemmer than I do November because the way that I

1:14:15.560 --> 1:14:20.120
<v Speaker 1>hunt me personally. I hunt based on expectation and data

1:14:20.520 --> 1:14:24.360
<v Speaker 1>and data points rather than hope. And when it comes

1:14:24.439 --> 1:14:28.439
<v Speaker 1>to so it's expectation rather than hope. We're real good

1:14:28.560 --> 1:14:30.400
<v Speaker 1>in and around the food source I mean, we kill

1:14:30.439 --> 1:14:33.840
<v Speaker 1>a lot of deer, you know, food source, tuck close

1:14:33.920 --> 1:14:36.240
<v Speaker 1>to cover. That's a that's an equation that has worked

1:14:36.280 --> 1:14:38.840
<v Speaker 1>well for Terry and I for for quite a while. Now.

1:14:39.320 --> 1:14:42.040
<v Speaker 1>When you get to November and they start spreading out

1:14:42.400 --> 1:14:46.759
<v Speaker 1>and suddenly home core ranges get just go like shotgun approach,

1:14:47.160 --> 1:14:49.519
<v Speaker 1>it's much more difficult to run into a deer. They're

1:14:49.560 --> 1:14:52.920
<v Speaker 1>chasing those and and uh, we still kill them during

1:14:52.960 --> 1:14:56.599
<v Speaker 1>that period and I still hunt them, but it gets

1:14:56.760 --> 1:15:00.560
<v Speaker 1>much tougher to kill a specific deer, which is what

1:15:00.680 --> 1:15:04.280
<v Speaker 1>I'm typically trying to do in November than it is,

1:15:04.520 --> 1:15:10.080
<v Speaker 1>say in October and December. Yeah, does does any does

1:15:10.120 --> 1:15:12.280
<v Speaker 1>any of this stuff still applied during the rut? Like

1:15:12.360 --> 1:15:16.240
<v Speaker 1>are you gonna get you know, annual pattern type data

1:15:16.360 --> 1:15:18.200
<v Speaker 1>and say, well, I'm hunting here the second week in

1:15:18.240 --> 1:15:20.160
<v Speaker 1>November and he did this thing last year. Do you

1:15:20.400 --> 1:15:22.479
<v Speaker 1>ever expect that kind of stuff to repeat during that

1:15:22.560 --> 1:15:24.040
<v Speaker 1>part of the year or do those things it's just

1:15:24.120 --> 1:15:29.120
<v Speaker 1>two random Yeah, they still repeat, like different things repeat though,

1:15:29.240 --> 1:15:32.679
<v Speaker 1>Like let's fast forward out of October. Let's fast forward

1:15:32.800 --> 1:15:36.800
<v Speaker 1>thirty days and go into early November. Fifth, seven, three

1:15:36.880 --> 1:15:39.360
<v Speaker 1>or four of the best Dad Gum days, they're still

1:15:39.479 --> 1:15:42.040
<v Speaker 1>hitting scrapes, they're still checking food sources for the first

1:15:42.080 --> 1:15:44.800
<v Speaker 1>available dough. They're covering a lot more ground, so you

1:15:44.920 --> 1:15:46.680
<v Speaker 1>can go back and look at that data and kill

1:15:46.760 --> 1:15:49.960
<v Speaker 1>that deer doing those exact same things. When I speak

1:15:50.000 --> 1:15:52.320
<v Speaker 1>of my disdain for the rut, it's really in and

1:15:52.360 --> 1:15:56.200
<v Speaker 1>around once they start locking down. So twelve Levet's twelve

1:15:56.280 --> 1:16:02.040
<v Speaker 1>and November through about the tenth eighteenth, that period right

1:16:02.120 --> 1:16:05.160
<v Speaker 1>there is a very frustrating time for me. Um. I

1:16:05.200 --> 1:16:07.280
<v Speaker 1>would much rather be in Missouri with a rifle in

1:16:07.320 --> 1:16:09.519
<v Speaker 1>my hand, or where my range is extended, or in

1:16:09.600 --> 1:16:12.200
<v Speaker 1>Texas where I feel like the bucks are still doing

1:16:12.320 --> 1:16:15.000
<v Speaker 1>things like they were doing here in late October, because

1:16:15.040 --> 1:16:17.280
<v Speaker 1>the run is later down there, so I kind of

1:16:17.600 --> 1:16:20.519
<v Speaker 1>I kind of go south to get on a more

1:16:20.920 --> 1:16:23.720
<v Speaker 1>palatable period, or I go to Missouri where we can

1:16:23.800 --> 1:16:25.880
<v Speaker 1>have a good time and it's rifle season and you

1:16:25.960 --> 1:16:27.400
<v Speaker 1>can stretch it out a little bit if you see

1:16:27.439 --> 1:16:29.799
<v Speaker 1>a buck tending a dough, those types of things. However,

1:16:30.280 --> 1:16:33.439
<v Speaker 1>just prior to lockdown and just after, absolutely you can

1:16:33.479 --> 1:16:35.560
<v Speaker 1>go back and look at pictures and figure out a

1:16:35.600 --> 1:16:38.720
<v Speaker 1>buck's pattern. It's just that they're covering more ground. And

1:16:38.920 --> 1:16:43.160
<v Speaker 1>and and walking more during daylight. So therefore you you

1:16:43.360 --> 1:16:45.439
<v Speaker 1>change where you're sitting. You're no longer sitting on a

1:16:45.439 --> 1:16:47.679
<v Speaker 1>food plot, right, You're not. One of the dumbest places

1:16:47.760 --> 1:16:49.760
<v Speaker 1>you can be is on a greenfield. You know, I

1:16:49.840 --> 1:16:52.880
<v Speaker 1>get into transition, I get into the bedroom. I start

1:16:53.000 --> 1:16:55.960
<v Speaker 1>hunting mornings, I start hunting full day sits. So the

1:16:56.160 --> 1:17:00.679
<v Speaker 1>tactics changed drastically. But yes, you can absolutely kill buck

1:17:00.720 --> 1:17:03.720
<v Speaker 1>in his bedroom. Uh, during that period of the year,

1:17:03.840 --> 1:17:06.680
<v Speaker 1>especially when he ages. You take a deer, say you've

1:17:06.720 --> 1:17:09.880
<v Speaker 1>been you know, fooled by this deer when he's three,

1:17:10.000 --> 1:17:13.720
<v Speaker 1>four or five, and suddenly six, he may not move

1:17:13.760 --> 1:17:17.280
<v Speaker 1>as much. Uh when he's seven, when he's eight, all

1:17:17.280 --> 1:17:19.320
<v Speaker 1>of a sudden, he's gonna daylight a little bit more.

1:17:19.720 --> 1:17:22.120
<v Speaker 1>It gets hungry a little bit more often, and you

1:17:22.240 --> 1:17:25.519
<v Speaker 1>can start taking advantage of his weaknesses. One of the

1:17:25.600 --> 1:17:28.320
<v Speaker 1>toughest did dear to kill is like a price, a

1:17:28.360 --> 1:17:30.160
<v Speaker 1>deer in his prime at age four and five, They

1:17:30.240 --> 1:17:33.040
<v Speaker 1>just they don't daylight quite as much. So six is

1:17:33.080 --> 1:17:36.680
<v Speaker 1>also another another challenging year. So you always keep in

1:17:36.760 --> 1:17:40.120
<v Speaker 1>mind the age of the deer, the overall environment. But yeah,

1:17:40.200 --> 1:17:42.360
<v Speaker 1>you can you can smoke him during the run, you know,

1:17:42.479 --> 1:17:44.439
<v Speaker 1>before they get with the does. Once they're with the does,

1:17:44.560 --> 1:17:47.559
<v Speaker 1>that's when it gets a little real challenging. And I think,

1:17:48.000 --> 1:17:51.120
<v Speaker 1>if you kill a deer that's tending a dough, you

1:17:51.160 --> 1:17:53.439
<v Speaker 1>should really go buy a lottery ticket that day because

1:17:53.439 --> 1:17:57.400
<v Speaker 1>you probably got fairly fortunate on that day. And that's

1:17:57.439 --> 1:18:00.800
<v Speaker 1>the truth. But that's where that's where DO factor comes in.

1:18:01.040 --> 1:18:04.120
<v Speaker 1>That's where I'm in good country. I know he's here.

1:18:04.520 --> 1:18:08.240
<v Speaker 1>I Am going to spend every single solid daylight hour

1:18:08.400 --> 1:18:12.080
<v Speaker 1>in a stand every single day to increase my odds.

1:18:12.280 --> 1:18:14.720
<v Speaker 1>That's how you kill them once they're locked down, just

1:18:14.960 --> 1:18:18.400
<v Speaker 1>absolute seat time in the stand. Yeah, let's say we're

1:18:18.439 --> 1:18:21.320
<v Speaker 1>after one specific buck in a scenarre like you're describing.

1:18:21.479 --> 1:18:23.880
<v Speaker 1>There's there's just the one guy that I really want

1:18:23.920 --> 1:18:28.120
<v Speaker 1>to get and we do all the things you describe

1:18:28.200 --> 1:18:30.600
<v Speaker 1>that do factor get out there, spend a lot of

1:18:30.680 --> 1:18:33.560
<v Speaker 1>time being the general area. Is it a waste of

1:18:33.640 --> 1:18:38.080
<v Speaker 1>time to chase cell camera pictures or to chase um?

1:18:38.280 --> 1:18:40.240
<v Speaker 1>You know, well he did this two days ago. I

1:18:40.360 --> 1:18:42.559
<v Speaker 1>think I got to be in this little corner um

1:18:42.840 --> 1:18:46.240
<v Speaker 1>during that particular time of year, you know, November three

1:18:46.360 --> 1:18:52.519
<v Speaker 1>th or something like that. Um, specifically, it's not a

1:18:52.600 --> 1:18:54.679
<v Speaker 1>waste of time because you know he's there, and that's

1:18:54.800 --> 1:18:57.559
<v Speaker 1>part of the equation that time of the year. Um,

1:18:58.640 --> 1:19:01.200
<v Speaker 1>you know, you get in the rut, you go, oh, uh,

1:19:01.680 --> 1:19:03.640
<v Speaker 1>where's my target. I haven't had a picture of him

1:19:03.640 --> 1:19:06.120
<v Speaker 1>in six seven days. Well he's standing there looking at

1:19:06.160 --> 1:19:08.160
<v Speaker 1>a girlfriend, you know. So when you get a self

1:19:08.200 --> 1:19:11.479
<v Speaker 1>picture and you're like, I'm still here. So that's important.

1:19:11.680 --> 1:19:15.640
<v Speaker 1>Just just having the deer in your hunting area is

1:19:15.680 --> 1:19:18.439
<v Speaker 1>half the battle. So therefore get in there and hunt

1:19:18.479 --> 1:19:21.880
<v Speaker 1>his butt, you know. Uh. Not having him changes that

1:19:21.960 --> 1:19:25.280
<v Speaker 1>a little bit. Uh So the rut brings about like

1:19:25.479 --> 1:19:28.120
<v Speaker 1>if we were having this conversation, I think a lot

1:19:28.200 --> 1:19:31.080
<v Speaker 1>of what I would be talking about might switch up

1:19:31.080 --> 1:19:33.360
<v Speaker 1>a little bit because right now my mind is so

1:19:33.600 --> 1:19:38.720
<v Speaker 1>center focused on greener pastors early October, you know, food bad,

1:19:38.840 --> 1:19:41.439
<v Speaker 1>that type of stuff. If we're having this conversation November five,

1:19:41.840 --> 1:19:44.360
<v Speaker 1>I might answer some of these things differently, But my

1:19:44.439 --> 1:19:46.800
<v Speaker 1>mind's wrapped around this right now, So I'm trying to

1:19:46.880 --> 1:19:49.559
<v Speaker 1>fast forward and think how I will be thinking that time,

1:19:49.720 --> 1:19:52.760
<v Speaker 1>you know. So it's it's different, you know, But I

1:19:53.240 --> 1:19:56.160
<v Speaker 1>love fifth, six, seventh, eighth, and ninth absolutely love it.

1:19:56.320 --> 1:19:59.320
<v Speaker 1>Mornings are great, does crisp cool mornings, you get good weather,

1:19:59.360 --> 1:20:01.840
<v Speaker 1>You've got buck walk until nine ten o'clock in the morning.

1:20:02.240 --> 1:20:05.160
<v Speaker 1>It's pretty exciting. I mean it can be a buck

1:20:05.240 --> 1:20:07.160
<v Speaker 1>factory in certain days. When you get the right weather

1:20:07.240 --> 1:20:09.639
<v Speaker 1>and and uh the right hot dough in the area,

1:20:09.680 --> 1:20:11.800
<v Speaker 1>you you find the magic circle and you're gonna kill

1:20:11.800 --> 1:20:15.040
<v Speaker 1>a deer. So it's it's an exciting time of the year. Yeah.

1:20:15.479 --> 1:20:18.519
<v Speaker 1>So you mentioned that you you really prefer for your

1:20:18.560 --> 1:20:20.439
<v Speaker 1>style of hunting the early part of the year and

1:20:20.479 --> 1:20:23.040
<v Speaker 1>the later part of the year. Uh So, let's talk

1:20:23.040 --> 1:20:26.720
<v Speaker 1>about the later part real quick. Is anything different in

1:20:26.800 --> 1:20:29.400
<v Speaker 1>the late season when it comes to patterning deer compared

1:20:29.439 --> 1:20:32.479
<v Speaker 1>to what we just described for that early, earlier stuff,

1:20:32.840 --> 1:20:34.439
<v Speaker 1>or do you go right back to the same plane

1:20:35.439 --> 1:20:39.639
<v Speaker 1>the vastly different that similar plan, but vastly different strategy

1:20:39.680 --> 1:20:42.000
<v Speaker 1>in terms of food source, your keying in on, and

1:20:42.200 --> 1:20:45.439
<v Speaker 1>most importantly, the thermal cover you're king in on where

1:20:45.520 --> 1:20:48.559
<v Speaker 1>those bucks bed right now is going to be different

1:20:48.800 --> 1:20:51.800
<v Speaker 1>than where they're bedding in December. Right now, they're trying

1:20:51.840 --> 1:20:54.439
<v Speaker 1>to stay cool and they've got cover everywhere because there's

1:20:54.520 --> 1:20:56.719
<v Speaker 1>leaves on all the trees. Get rid of all the leaves,

1:20:57.000 --> 1:20:59.759
<v Speaker 1>change the temperature by thirty or forty degrees for daytime,

1:21:00.439 --> 1:21:03.360
<v Speaker 1>and you've got a different system in place in terms

1:21:03.400 --> 1:21:05.840
<v Speaker 1>of what the white tails trying to do. Uh, he's

1:21:05.840 --> 1:21:09.080
<v Speaker 1>also in recovery mode as opposed to the mode he's

1:21:09.120 --> 1:21:11.800
<v Speaker 1>in right now, which is eating everything he can because

1:21:12.400 --> 1:21:14.600
<v Speaker 1>he's about to go crazy during the rut. So a

1:21:14.720 --> 1:21:18.040
<v Speaker 1>lot of dynamics change there. Does that change it? Although

1:21:18.360 --> 1:21:22.280
<v Speaker 1>how you actually try to pattern him like is the

1:21:22.439 --> 1:21:25.960
<v Speaker 1>same kind of data. I understand that the the environmental

1:21:26.040 --> 1:21:28.559
<v Speaker 1>factors are different. But when you sit down at night

1:21:28.600 --> 1:21:30.240
<v Speaker 1>and try to say, Okay, what's this buck going to

1:21:30.320 --> 1:21:33.559
<v Speaker 1>do tomorrow? Where should I hunt tomorrow? Are you are

1:21:33.640 --> 1:21:39.040
<v Speaker 1>you weighing things differently? Are you more confident in behaviors, repeating,

1:21:39.240 --> 1:21:41.080
<v Speaker 1>or anything else when you're actually trying to develop that

1:21:41.160 --> 1:21:45.000
<v Speaker 1>pattern In December, I'm a little less confident, and in

1:21:45.360 --> 1:21:50.160
<v Speaker 1>in December, I think December requires a much more optimized

1:21:51.040 --> 1:21:56.280
<v Speaker 1>win or not win. But whether um occurrence then does

1:21:56.360 --> 1:22:00.680
<v Speaker 1>October October, they seem a little more patterned bowl and

1:22:00.800 --> 1:22:05.639
<v Speaker 1>a little more likely todaylight with perhaps a little less

1:22:05.680 --> 1:22:08.360
<v Speaker 1>weather than in December. Man, it's got to be perfect

1:22:08.520 --> 1:22:11.479
<v Speaker 1>and again I'm speaking in terms of not deer in general,

1:22:11.880 --> 1:22:14.559
<v Speaker 1>but a target buck like a five six seven year

1:22:14.560 --> 1:22:17.880
<v Speaker 1>old deer. Uh, they just act different in December. They're

1:22:18.040 --> 1:22:21.120
<v Speaker 1>very tired. They may all of a sudden, if there's

1:22:21.120 --> 1:22:24.519
<v Speaker 1>a little secondary estros, all of a sudden, you'll go

1:22:24.680 --> 1:22:27.720
<v Speaker 1>do that. So you know, right now, in October you

1:22:27.800 --> 1:22:29.519
<v Speaker 1>don't have much of that. December you do get a

1:22:29.560 --> 1:22:32.519
<v Speaker 1>lot of it, especially if you're your herds out of balance,

1:22:32.600 --> 1:22:35.880
<v Speaker 1>so that comes into play. Uh, December can be tricky,

1:22:36.760 --> 1:22:39.719
<v Speaker 1>But I look back at historical patterns and I honestly

1:22:39.840 --> 1:22:43.519
<v Speaker 1>like I almost preferred to Christmas and later. Like you

1:22:43.680 --> 1:22:48.519
<v Speaker 1>take December third, somewhere and there all the way through

1:22:48.560 --> 1:22:50.840
<v Speaker 1>the end of the season January ten, with the right

1:22:50.920 --> 1:22:53.680
<v Speaker 1>weather conditions on a major thermal block, with the right

1:22:53.760 --> 1:22:55.840
<v Speaker 1>food source, you're gonna go in there and see a

1:22:56.000 --> 1:22:59.559
<v Speaker 1>pole of deer and possibly kill your number one target. Yeah,

1:23:00.200 --> 1:23:04.519
<v Speaker 1>that does sound pretty pretty good to me. It sounds

1:23:04.560 --> 1:23:09.120
<v Speaker 1>good right now. On the hot side, we can dream,

1:23:09.200 --> 1:23:10.800
<v Speaker 1>we know what's in front of us, but you know,

1:23:10.880 --> 1:23:12.920
<v Speaker 1>you gotta take each each day as it comes. And

1:23:13.280 --> 1:23:15.759
<v Speaker 1>it's it's exactly why we did the show thirteam because

1:23:15.840 --> 1:23:19.040
<v Speaker 1>so many things changed throughout the season, and as they change,

1:23:19.280 --> 1:23:22.679
<v Speaker 1>our tactics have to change. Yeah, so let's let's zoom

1:23:22.680 --> 1:23:24.519
<v Speaker 1>out a little bit. Let's talk a little bit more

1:23:24.600 --> 1:23:30.439
<v Speaker 1>generally here again, thinking patterning deer, what is the most

1:23:30.640 --> 1:23:34.840
<v Speaker 1>common or the most egregious mistake that you see other

1:23:34.960 --> 1:23:37.920
<v Speaker 1>folks making when trying to pattern deer. You talked to

1:23:38.000 --> 1:23:40.760
<v Speaker 1>a million deer hunters, You've been exposed to the whole

1:23:40.800 --> 1:23:44.000
<v Speaker 1>community for decades. Now, what's that thing that you see

1:23:44.120 --> 1:23:47.200
<v Speaker 1>keep on popping up that just makes you scratch your

1:23:47.200 --> 1:23:49.639
<v Speaker 1>head or makes you want to, you know, shake somebody

1:23:49.680 --> 1:23:53.720
<v Speaker 1>by the shoulders and say, don't do that anymore. I

1:23:53.840 --> 1:23:57.000
<v Speaker 1>get asked this question a lot, and I answered consistently.

1:23:57.080 --> 1:23:59.479
<v Speaker 1>But I'll add to this answer in this question because

1:23:59.520 --> 1:24:06.560
<v Speaker 1>of the sub matter. Today, people underestimate the quarry. I

1:24:06.680 --> 1:24:11.599
<v Speaker 1>think white tails are so good at living that they're

1:24:11.640 --> 1:24:14.880
<v Speaker 1>almost impossible to go kill. They are so tough, and

1:24:14.960 --> 1:24:18.200
<v Speaker 1>again I'm speaking of mature bucks that have been around

1:24:18.240 --> 1:24:20.799
<v Speaker 1>the block. You take a six year old buck, and Buddy,

1:24:20.880 --> 1:24:23.479
<v Speaker 1>he's a tough, tough son of a gun to even

1:24:23.920 --> 1:24:26.120
<v Speaker 1>see during daylight. He's tough to take a picture of.

1:24:26.240 --> 1:24:28.360
<v Speaker 1>He's even tougher to see, and then you got to

1:24:28.400 --> 1:24:31.640
<v Speaker 1>have the capacity and the ability to kill him and

1:24:31.720 --> 1:24:33.280
<v Speaker 1>then make a good shot and all the things that

1:24:33.280 --> 1:24:36.560
<v Speaker 1>it's it's so hard to kill a giant. Okay, So

1:24:38.120 --> 1:24:42.000
<v Speaker 1>you couple that with what all they've been through and

1:24:42.040 --> 1:24:45.640
<v Speaker 1>the overall you know, health of the deer, and I

1:24:45.760 --> 1:24:50.320
<v Speaker 1>think people just group deer as a deer. A buck

1:24:50.439 --> 1:24:53.400
<v Speaker 1>is a buck is a buck. A deer is as

1:24:53.439 --> 1:24:56.160
<v Speaker 1>good as gonna be just as healthy this year as

1:24:56.200 --> 1:25:00.040
<v Speaker 1>he is next year. And I think they just the

1:25:00.200 --> 1:25:03.080
<v Speaker 1>side of the fact of all the things that are

1:25:03.120 --> 1:25:06.520
<v Speaker 1>affecting a white tailed deer on a daily basis. Imagine

1:25:06.600 --> 1:25:08.599
<v Speaker 1>what they go through on a daily basis. First of all,

1:25:08.640 --> 1:25:11.519
<v Speaker 1>we're trying to kill them. Second of all, you know,

1:25:11.640 --> 1:25:14.840
<v Speaker 1>they're dealing with all these different changes, all of a sudden,

1:25:14.840 --> 1:25:17.880
<v Speaker 1>as acorns everywhere one year, next year there's none. Uh,

1:25:17.960 --> 1:25:19.800
<v Speaker 1>we're going through a drought. This year. You've got the

1:25:19.960 --> 1:25:23.280
<v Speaker 1>h D hitting them, Kyle populations up. Holy cow, I

1:25:23.360 --> 1:25:25.679
<v Speaker 1>got harned in the side. I've got an infection starting.

1:25:26.720 --> 1:25:30.360
<v Speaker 1>I'm older. Oh I broke a leg. Oh oh, Trulie

1:25:30.400 --> 1:25:33.000
<v Speaker 1>got hit by a car. I mean, there's a lot

1:25:33.160 --> 1:25:36.640
<v Speaker 1>of different things that affect white tail behavior. And I

1:25:36.800 --> 1:25:40.320
<v Speaker 1>think people gloss over that, and they look at every

1:25:40.400 --> 1:25:41.960
<v Speaker 1>deer as a deer as a deer, and I think

1:25:42.000 --> 1:25:46.479
<v Speaker 1>there are as different as people are um and and

1:25:47.080 --> 1:25:50.439
<v Speaker 1>I will I will extend this answer into a general

1:25:51.120 --> 1:25:54.599
<v Speaker 1>lack of organization. If you're trying to pattern a deer.

1:25:54.640 --> 1:25:57.000
<v Speaker 1>There's nothing wrong with not being organized, because I know

1:25:57.160 --> 1:25:59.559
<v Speaker 1>guys that aren't, and they go out and there they

1:25:59.680 --> 1:26:02.360
<v Speaker 1>kill dandies every year because they they're just good and

1:26:02.400 --> 1:26:05.240
<v Speaker 1>their prowess is good, and they're they're skillful. But I

1:26:05.360 --> 1:26:09.160
<v Speaker 1>think people can help themselves if they're having an organizational

1:26:10.160 --> 1:26:13.240
<v Speaker 1>trade and they keep good notes and they keep all

1:26:13.280 --> 1:26:16.360
<v Speaker 1>their pictures. We all know this guy that's got a

1:26:16.439 --> 1:26:19.200
<v Speaker 1>handful of SD cards and he just went through all

1:26:19.240 --> 1:26:21.120
<v Speaker 1>of them and then he goes and puts them back

1:26:21.160 --> 1:26:23.519
<v Speaker 1>in his cameras and he never kept one picture off.

1:26:23.560 --> 1:26:28.080
<v Speaker 1>On one car cringe, there's duck, there's dust on them,

1:26:28.080 --> 1:26:31.000
<v Speaker 1>they're sitting in the truck, there's soda and coffee spilt

1:26:31.080 --> 1:26:34.320
<v Speaker 1>on them. You put him in the camera, they don't work.

1:26:34.439 --> 1:26:36.160
<v Speaker 1>You go to the camera the next time. You didn't

1:26:36.200 --> 1:26:40.439
<v Speaker 1>get any information. We all know that guy, right, And

1:26:40.520 --> 1:26:43.320
<v Speaker 1>I'm not knocking that guy, because he's got every right

1:26:43.400 --> 1:26:46.320
<v Speaker 1>to do that, as I have to be anal and

1:26:46.920 --> 1:26:51.920
<v Speaker 1>obsessive over it. But I do think a general approach

1:26:52.080 --> 1:26:56.400
<v Speaker 1>with more organization would help put people in better positions

1:26:56.560 --> 1:27:02.160
<v Speaker 1>more often. Yeah, he you know that, Mark, I do

1:27:02.320 --> 1:27:05.280
<v Speaker 1>know that guy taking by the shoulders. Next time you

1:27:05.360 --> 1:27:09.920
<v Speaker 1>see I will. Oh. I'm curious and I don't know

1:27:09.960 --> 1:27:14.240
<v Speaker 1>if there's many opportunities for you to have this happen anymore, Mark,

1:27:14.400 --> 1:27:18.640
<v Speaker 1>But can you think back to the last time that

1:27:18.920 --> 1:27:23.639
<v Speaker 1>you learned something from another really good deer hunter about

1:27:23.720 --> 1:27:26.960
<v Speaker 1>patterning deer, so specifically about this idea of patterning deer.

1:27:27.479 --> 1:27:29.880
<v Speaker 1>Is there someone you can think of who's really really

1:27:29.920 --> 1:27:32.040
<v Speaker 1>good at it. Do you have that buddy that is

1:27:32.160 --> 1:27:33.960
<v Speaker 1>as good or better than you at this and that

1:27:34.080 --> 1:27:36.240
<v Speaker 1>you said, oh, wow, you know that's a good idea,

1:27:36.439 --> 1:27:38.679
<v Speaker 1>or wow, I never thought of that. Is there anything

1:27:38.760 --> 1:27:45.040
<v Speaker 1>that comes to mind? Brother Terry? Um, we talk almost

1:27:45.280 --> 1:27:50.439
<v Speaker 1>daily during the deer season, and um, we just compare notes.

1:27:50.520 --> 1:27:52.640
<v Speaker 1>What are your deer doing? What are you seeing? I mean,

1:27:52.680 --> 1:27:55.320
<v Speaker 1>it's almost like coaches meeting or something, you know what

1:27:55.360 --> 1:27:59.000
<v Speaker 1>I mean. We just talk and we pick up stuff

1:27:59.080 --> 1:28:02.880
<v Speaker 1>from each other every day and I I love collective

1:28:04.360 --> 1:28:10.400
<v Speaker 1>UM strategizing, so myself, Wade, Perry, it is ad nauseam

1:28:10.800 --> 1:28:16.080
<v Speaker 1>for our wives Tracy Marista style like I. I think

1:28:16.160 --> 1:28:18.760
<v Speaker 1>if they had shock callers with controls, they would buzz

1:28:18.840 --> 1:28:20.960
<v Speaker 1>us every single dinner we have together during the deer

1:28:21.320 --> 1:28:24.160
<v Speaker 1>because it is all we talk about from the moment

1:28:24.240 --> 1:28:27.000
<v Speaker 1>we see each other in the morning. We're together usually

1:28:27.120 --> 1:28:29.320
<v Speaker 1>ten two hours a day, every day, seven days a

1:28:29.360 --> 1:28:34.719
<v Speaker 1>week deer hunt, deer season. But that collective thought comes

1:28:34.760 --> 1:28:39.360
<v Speaker 1>to really good UM decision making. I do it with Terry,

1:28:39.400 --> 1:28:41.280
<v Speaker 1>I do it with Wayne and Perry. I do it

1:28:41.360 --> 1:28:44.880
<v Speaker 1>with Josh and Carson. I do it with matt Um.

1:28:45.720 --> 1:28:48.600
<v Speaker 1>You know, Grant Woods, He's the all time goat as

1:28:48.640 --> 1:28:51.559
<v Speaker 1>far as I'm concerned when it comes to dear behavior

1:28:51.680 --> 1:28:54.640
<v Speaker 1>in the science of white tail deer, like Bobby Culvertson

1:28:54.800 --> 1:28:57.720
<v Speaker 1>Tracker John. There's certain people in my circle that I

1:28:57.840 --> 1:29:00.200
<v Speaker 1>talked to a lot, and I talked to him Um

1:29:00.320 --> 1:29:03.799
<v Speaker 1>as much as I can so that I can pull information.

1:29:03.880 --> 1:29:07.280
<v Speaker 1>I'm selfish, man. If there's something that somebody's gotten his mind,

1:29:07.320 --> 1:29:09.920
<v Speaker 1>I want it, you know, because it's it's going to

1:29:10.040 --> 1:29:12.439
<v Speaker 1>help you, and I'm happy to share it too. Like

1:29:12.680 --> 1:29:15.920
<v Speaker 1>I think the more we talk and the more communication

1:29:16.000 --> 1:29:18.800
<v Speaker 1>we have, the better we all get. It's why I

1:29:19.000 --> 1:29:24.880
<v Speaker 1>think your podcast is so popular. Uh, you're constantly trying

1:29:24.920 --> 1:29:27.840
<v Speaker 1>to teach. I think it's why, by and large, we've

1:29:27.880 --> 1:29:30.519
<v Speaker 1>survived thirty three years in the outdoor industry. I say

1:29:30.520 --> 1:29:32.040
<v Speaker 1>it all the time. We're not very good looking, we're

1:29:32.040 --> 1:29:35.840
<v Speaker 1>not very funny. We better be informational. So um, I'm

1:29:35.880 --> 1:29:40.960
<v Speaker 1>not saying you fit in that category. You know. I

1:29:41.320 --> 1:29:44.800
<v Speaker 1>think if you're trying to teach and your teachers learn right,

1:29:44.880 --> 1:29:47.760
<v Speaker 1>they're they're hungry for information. So I do it all

1:29:47.800 --> 1:29:50.200
<v Speaker 1>the time every day. I think that what just what

1:29:50.400 --> 1:29:55.240
<v Speaker 1>makes us better. And also I'm at a very interesting

1:29:55.360 --> 1:29:58.120
<v Speaker 1>time in my life because I'm fifty five, and I

1:29:58.240 --> 1:30:01.839
<v Speaker 1>think I forget as much every day as as I remember.

1:30:02.200 --> 1:30:04.360
<v Speaker 1>So therefar there are things that Wade and Perry will

1:30:04.680 --> 1:30:07.320
<v Speaker 1>tell me, you know, last year you were saying this,

1:30:07.400 --> 1:30:09.759
<v Speaker 1>and I'll be like, oh, yeah, that's right. I've forgotten

1:30:09.840 --> 1:30:12.160
<v Speaker 1>some of what I knew. And if people out there

1:30:12.240 --> 1:30:14.719
<v Speaker 1>that are in their fifties will relate to that comment.

1:30:14.920 --> 1:30:18.439
<v Speaker 1>So it's it's a little tongue in cheek, but it's honestly,

1:30:18.520 --> 1:30:21.200
<v Speaker 1>there's a little truth to that. So I use these guys,

1:30:21.280 --> 1:30:23.240
<v Speaker 1>I use their eyes and ears when we're in the blind,

1:30:23.560 --> 1:30:26.200
<v Speaker 1>and I'm starting to use their mind to remind me, hey,

1:30:26.439 --> 1:30:30.439
<v Speaker 1>what did we do in this situation when this occurred

1:30:30.560 --> 1:30:32.680
<v Speaker 1>last time? And they they have better memories than I do,

1:30:32.920 --> 1:30:36.920
<v Speaker 1>so uh, it's I think collective organization and collective thought

1:30:37.320 --> 1:30:39.760
<v Speaker 1>is a beautiful thing and it's gonna lead you down

1:30:39.920 --> 1:30:42.600
<v Speaker 1>really good paths in life, whether that be you know,

1:30:42.680 --> 1:30:44.479
<v Speaker 1>in terms of deer hunting, or whether that be in

1:30:44.640 --> 1:30:47.679
<v Speaker 1>terms of your business, or whether that is in terms

1:30:47.720 --> 1:30:54.960
<v Speaker 1>of relationship. I love communication on all facets, sports, life, religion, politics,

1:30:55.240 --> 1:30:57.640
<v Speaker 1>deer hunting, you name it. I'll sit and talk with

1:30:57.720 --> 1:31:01.160
<v Speaker 1>anybody for for hours, because man, just just be the

1:31:01.200 --> 1:31:03.880
<v Speaker 1>sponge out there and learn all you can. Yeah. Yeah,

1:31:03.960 --> 1:31:06.680
<v Speaker 1>I love that idea of collective decision making and it's

1:31:06.800 --> 1:31:08.760
<v Speaker 1>it's a lot of fun doing it that way. But

1:31:08.840 --> 1:31:11.120
<v Speaker 1>then also I do think, you know, like when you're

1:31:11.160 --> 1:31:13.439
<v Speaker 1>trying to figure out what this buck's pattern is, you

1:31:13.520 --> 1:31:15.960
<v Speaker 1>can sometimes get stuck in your own head or stuck

1:31:16.000 --> 1:31:18.479
<v Speaker 1>in your own assumptions. But if you just get one

1:31:18.520 --> 1:31:20.160
<v Speaker 1>other set of eyes on it all of a sudden,

1:31:20.160 --> 1:31:22.120
<v Speaker 1>they might notice the one thing that you never saw

1:31:22.200 --> 1:31:24.280
<v Speaker 1>there in the corner, but actually is the key to

1:31:24.400 --> 1:31:27.080
<v Speaker 1>the whole thing. So talking these things out, you know,

1:31:27.240 --> 1:31:30.320
<v Speaker 1>getting other perspectives on it can help you see the

1:31:30.479 --> 1:31:32.960
<v Speaker 1>larger pattern within the data sometimes. So that's such a

1:31:33.000 --> 1:31:37.400
<v Speaker 1>great point. Um, absolutely open mind. Right. We also know

1:31:37.640 --> 1:31:39.960
<v Speaker 1>that guy, we know that guy knows everything. You're not

1:31:40.000 --> 1:31:42.840
<v Speaker 1>gonna tell him anything. You've met him, you know, And

1:31:43.680 --> 1:31:47.200
<v Speaker 1>don't be that guy, you know, don't be the guy

1:31:47.400 --> 1:31:51.080
<v Speaker 1>that already knows it all, because that's the me I'm

1:31:51.200 --> 1:31:53.800
<v Speaker 1>learning every day I try to figure something out new.

1:31:54.400 --> 1:31:56.720
<v Speaker 1>I love that collective thought because you hit the nail

1:31:56.760 --> 1:31:58.800
<v Speaker 1>on the head man. You never know when somebody's gonna

1:31:58.800 --> 1:32:01.360
<v Speaker 1>bring something to the party that helps the collective group.

1:32:01.800 --> 1:32:05.439
<v Speaker 1>Last night, Wade shot the deer, but we all as

1:32:05.479 --> 1:32:08.040
<v Speaker 1>a group killed the deer. There were a lot of

1:32:08.120 --> 1:32:11.960
<v Speaker 1>different people that were involved in that moment, and we

1:32:12.080 --> 1:32:16.200
<v Speaker 1>were all there when we recovered him. And that's every

1:32:16.360 --> 1:32:19.880
<v Speaker 1>hunt in this camp. It takes a village and one

1:32:19.920 --> 1:32:22.800
<v Speaker 1>guy shoots it, but the whole village killed it. And

1:32:23.160 --> 1:32:25.760
<v Speaker 1>and and that's why it's so important to enjoy the

1:32:25.880 --> 1:32:29.040
<v Speaker 1>process going through it as you lead into the hunt,

1:32:29.360 --> 1:32:32.080
<v Speaker 1>and then after the hunt enjoy it together. That's what

1:32:32.200 --> 1:32:34.800
<v Speaker 1>makes this sport so cool. You get emotions and and

1:32:34.960 --> 1:32:40.000
<v Speaker 1>this unbelievable range of emotions and gratitude and happiness that

1:32:40.160 --> 1:32:42.400
<v Speaker 1>I can't find anywhere else in life. I've been looking,

1:32:42.640 --> 1:32:44.600
<v Speaker 1>but it doesn't exist. It's right out there in the

1:32:44.640 --> 1:32:48.240
<v Speaker 1>great outdoors. Man. It's so cool. There's some really, really

1:32:48.280 --> 1:32:51.200
<v Speaker 1>good stuff, that's for sure. I want to tie a

1:32:51.240 --> 1:32:54.599
<v Speaker 1>bow on this mark with one last question, and feel

1:32:54.640 --> 1:32:56.599
<v Speaker 1>free to take a second to kind of collect your

1:32:56.640 --> 1:32:58.560
<v Speaker 1>thoughts on this. But if, but if we had to

1:32:58.680 --> 1:33:05.840
<v Speaker 1>create right now, Mark Druries three rules to successfully patterning bucks.

1:33:05.920 --> 1:33:10.120
<v Speaker 1>If you had to have three statements, three things that

1:33:10.240 --> 1:33:12.400
<v Speaker 1>everyone's got to keep in mind, or that the three

1:33:12.520 --> 1:33:15.040
<v Speaker 1>rules they have to follow to become as good as

1:33:15.120 --> 1:33:18.679
<v Speaker 1>you are at patterning bucks, What would those three final

1:33:18.880 --> 1:33:20.719
<v Speaker 1>things be that we need to keep in our heads

1:33:20.840 --> 1:33:25.920
<v Speaker 1>this season. First and foremost, keep every single solid picture

1:33:26.720 --> 1:33:31.439
<v Speaker 1>you can um and then study them often. So pictures

1:33:31.479 --> 1:33:34.920
<v Speaker 1>are one part of the equation. Make sure that you

1:33:35.080 --> 1:33:38.280
<v Speaker 1>keep them all and then every single picture you look at,

1:33:38.400 --> 1:33:42.200
<v Speaker 1>ask why and then figure out why Even that two

1:33:42.280 --> 1:33:44.559
<v Speaker 1>year old did what he did, and that will help

1:33:44.600 --> 1:33:48.080
<v Speaker 1>you become better in the future. That's step one. Step two,

1:33:48.680 --> 1:33:51.560
<v Speaker 1>be a slave to the weather and everything you do

1:33:51.800 --> 1:33:54.360
<v Speaker 1>deer hunting. And I don't care if it's July one,

1:33:55.080 --> 1:33:58.719
<v Speaker 1>November one, or February one. Pay attention to the weather,

1:33:59.080 --> 1:34:01.519
<v Speaker 1>and pay attention to what you're doing, how it affects

1:34:01.680 --> 1:34:04.840
<v Speaker 1>the deer movement, how it affects your personality, your movement,

1:34:05.320 --> 1:34:08.519
<v Speaker 1>and be a slave to the weather. Uh. Number three,

1:34:09.160 --> 1:34:12.400
<v Speaker 1>when it comes to patterning, bucks, start taking really detailed

1:34:12.439 --> 1:34:18.719
<v Speaker 1>notes about mass crops, about um overall crop rotation, about

1:34:19.360 --> 1:34:22.760
<v Speaker 1>hunters habits. That's another thing you can pattern, not necessarily

1:34:22.840 --> 1:34:27.080
<v Speaker 1>the dear, when's your neighbor hunting? Uh? When am I

1:34:27.240 --> 1:34:29.760
<v Speaker 1>in your hunting? Am I being too patternable for this? Dear?

1:34:30.120 --> 1:34:33.840
<v Speaker 1>So analyze yourself and your environment and everyone around you

1:34:34.280 --> 1:34:36.479
<v Speaker 1>as much as you analyze the deer. If you do

1:34:36.640 --> 1:34:40.760
<v Speaker 1>those three things and then collectively add them all up

1:34:41.240 --> 1:34:44.559
<v Speaker 1>and try to create plans for the future, you're gonna

1:34:44.560 --> 1:34:46.800
<v Speaker 1>be a much better deer hunter and and and find

1:34:46.880 --> 1:34:49.880
<v Speaker 1>some rewards out there that you aren't finding now. Yeah, great,

1:34:50.080 --> 1:34:53.080
<v Speaker 1>great advice. I love this stuff. This is my favorite

1:34:53.120 --> 1:34:55.960
<v Speaker 1>thing to talk about. So so thanks for humoring me,

1:34:56.120 --> 1:34:58.280
<v Speaker 1>Mark and getting on here to talk through these things.

1:34:58.880 --> 1:35:01.080
<v Speaker 1>And I want to give a one last chance to

1:35:01.400 --> 1:35:05.280
<v Speaker 1>uh tell folks where they can connect with you, where

1:35:05.360 --> 1:35:06.880
<v Speaker 1>they can see all the great stuff you guys are

1:35:06.920 --> 1:35:09.360
<v Speaker 1>putting out. How can they find deer Cast? What do

1:35:09.400 --> 1:35:12.400
<v Speaker 1>we need to know about all those things? Absolutely deer

1:35:12.439 --> 1:35:14.280
<v Speaker 1>cast dot com. Best way to get it. We've got

1:35:14.320 --> 1:35:16.679
<v Speaker 1>a free version. We've got a version that's just prediction,

1:35:16.800 --> 1:35:18.880
<v Speaker 1>that's either nine or ten dollars. And now if you

1:35:18.960 --> 1:35:20.760
<v Speaker 1>want your environment a lot of things I've been talking

1:35:20.800 --> 1:35:24.760
<v Speaker 1>about here today, we've got a version that's that will

1:35:24.800 --> 1:35:27.360
<v Speaker 1>give you one stake's plat data or unlimited for for

1:35:27.479 --> 1:35:29.800
<v Speaker 1>seventy nine nine. So we've got a price point for

1:35:29.880 --> 1:35:32.559
<v Speaker 1>everybody from free up to seventy five bucks. Deer cast

1:35:32.600 --> 1:35:35.280
<v Speaker 1>dot com that you see everything in there, every social post,

1:35:35.360 --> 1:35:38.679
<v Speaker 1>every deer that gets killed, every every deer season twenty

1:35:38.720 --> 1:35:41.080
<v Speaker 1>two are semi live series. You can catch it there

1:35:41.520 --> 1:35:43.600
<v Speaker 1>or you can catch it on YouTube. Our staff is

1:35:43.640 --> 1:35:46.839
<v Speaker 1>doing an amazing job bringing the stories out within sometimes

1:35:46.880 --> 1:35:49.960
<v Speaker 1>within hours of when the deer goes down, or of

1:35:50.080 --> 1:35:53.519
<v Speaker 1>course Instagram, Facebook, YouTube, where wherever you can find there

1:35:53.600 --> 1:35:56.880
<v Speaker 1>outdoors we're there and happy to happy to talk to people.

1:35:56.920 --> 1:35:59.360
<v Speaker 1>We've got a team of people that are that are

1:35:59.400 --> 1:36:02.080
<v Speaker 1>just the best to the industry. In in my you know,

1:36:02.320 --> 1:36:04.960
<v Speaker 1>biased opinion, I just think our team is just amazing.

1:36:05.040 --> 1:36:08.760
<v Speaker 1>We you take what Matt and Taylor and Josh and

1:36:08.920 --> 1:36:12.040
<v Speaker 1>Carson and all our guys in St. Louis are doing,

1:36:12.120 --> 1:36:14.559
<v Speaker 1>and Wade and Perry and Forest and Ben, I mean,

1:36:14.880 --> 1:36:17.960
<v Speaker 1>they are really putting some unbelievable content out there for

1:36:18.080 --> 1:36:20.559
<v Speaker 1>people right now to and we stay in our lane.

1:36:20.600 --> 1:36:22.639
<v Speaker 1>We try to. We just stayed in our deer hunting

1:36:22.680 --> 1:36:24.280
<v Speaker 1>and turkey hunting lane and we try not to get

1:36:24.320 --> 1:36:26.840
<v Speaker 1>out of that. And you know, we try to love

1:36:26.960 --> 1:36:29.640
<v Speaker 1>up on people as much as they've loved on us. Yeah. Well,

1:36:29.680 --> 1:36:33.120
<v Speaker 1>you guys, UH continue to do world class work. I

1:36:33.360 --> 1:36:36.000
<v Speaker 1>love it. I've loved it for decades. I appreciate you, Mark,

1:36:36.200 --> 1:36:39.800
<v Speaker 1>and Uh. I personally appreciate you, you know, always being

1:36:39.920 --> 1:36:42.599
<v Speaker 1>willing to hop on here and chat and to answer

1:36:42.640 --> 1:36:45.200
<v Speaker 1>my questions and to help sew so many people out.

1:36:45.280 --> 1:36:49.360
<v Speaker 1>So thank you, thank you, Thank you absolutely. Mark. You're

1:36:49.439 --> 1:36:50.800
<v Speaker 1>You're not the guy at the bar that I get

1:36:50.840 --> 1:36:52.080
<v Speaker 1>to see every day. You're that guy I get to

1:36:52.120 --> 1:36:55.320
<v Speaker 1>talk to once or twice a year, and well, I

1:36:55.479 --> 1:36:58.479
<v Speaker 1>can't wait to hear some some more stories from me

1:36:58.520 --> 1:37:01.080
<v Speaker 1>down the road once you close the distance again on

1:37:01.160 --> 1:37:03.040
<v Speaker 1>that big guy who evaded you the other night, or

1:37:03.160 --> 1:37:04.800
<v Speaker 1>one of these other guys. So it's a good luck,

1:37:04.880 --> 1:37:07.559
<v Speaker 1>my friend. I appreciate you, Mark, good luck out there.

1:37:07.600 --> 1:37:12.400
<v Speaker 1>Be safe and that's a rap. Thank you for listening.

1:37:12.880 --> 1:37:15.280
<v Speaker 1>I hope you enjoyed that one. I hope that you,

1:37:15.720 --> 1:37:18.040
<v Speaker 1>just like me, are going to be studying some trail

1:37:18.120 --> 1:37:20.719
<v Speaker 1>camera photos tonight or maybe looking back on your journal

1:37:20.760 --> 1:37:24.360
<v Speaker 1>of observations and thinking, m, what is this son of

1:37:24.400 --> 1:37:27.600
<v Speaker 1>a buck gonna do? I am looking forward to it.

1:37:28.040 --> 1:37:31.840
<v Speaker 1>I appreciate you, dear. Season is here. This is the

1:37:31.920 --> 1:37:35.240
<v Speaker 1>good stuff, my friends. I'm having a blast. I hope

1:37:35.280 --> 1:37:39.519
<v Speaker 1>you are as well. And until next time, stay wired

1:37:40.320 --> 1:37:40.720
<v Speaker 1>to hunt.