Latest / Wired To Hunt Podcast / Wired To Hunt Podcast #229: Predicting Deer Movement Masterclass w/Mark Drury

Transcript

Wired To Hunt Podcast #229: Predicting Deer Movement Masterclass w/Mark Drury · Wired To Hunt Podcast

• 0:02
  Speaker 1: Welcome to the Wire to Hunt podcast, your home for
• 0:06
  Speaker 1: deer hunting news, stories and strategies, and now your host,
• 0:11
  Speaker 1: Mark Kenyon. Welcome to the Wired to Hunt podcast. I'm
• 0:16
  Speaker 1: your host, Mark Kenyan, and this is episode number two
• 0:18
  Speaker 1: twenty nine and today Marjorie of Dreary Outdoors is back
• 0:22
  Speaker 1: with us again for the follow up to his unbelievably
• 0:25
  Speaker 1: popular Predicting Deer Moon episode that he did with us
• 0:28
  Speaker 1: back in two thousand and fifteen, and this time we're
• 0:31
  Speaker 1: taking things to a whole new level. Before we kick
• 0:47
  Speaker 1: things off that we want to thank our friends at
• 0:49
  Speaker 1: Lacrosse Boots for the support of this podcast episode. The
• 0:53
  Speaker 1: Cross boots are comfortable, their waterproof, they are just about
• 0:57
  Speaker 1: a cent free as you can get, and they're available
• 0:59
  Speaker 1: in all sorts of levels of insulation to suit any
• 1:02
  Speaker 1: time of year or temperature. As I've talked about here
• 1:06
  Speaker 1: over the past couple of weeks, I've got a new
• 1:07
  Speaker 1: pair of This year, I've started wearing that new throwback
• 1:10
  Speaker 1: green and yellow Elpha Burley Procept and not surprisingly they
• 1:14
  Speaker 1: are working great. I've been crossing creeks, climbing trees, hiking
• 1:17
  Speaker 1: through the woods and so hard the boots they fit
• 1:20
  Speaker 1: and they feel well, they are staying dry, They're doing
• 1:22
  Speaker 1: everything I need them to. So if you'd like to
• 1:24
  Speaker 1: learn more about Lacrosse boots yourself, you can visit Lacrosse
• 1:28
  Speaker 1: Footwear dot com. And welcome to the Wired to Hunt podcast,
• 1:33
  Speaker 1: brought to you by Onyx and ladies and gentlemen. Today,
• 1:37
  Speaker 1: we have got a good one for you. No, I'm
• 1:40
  Speaker 1: actually gonna take that back. We don't have a good one.
• 1:42
  Speaker 1: We have a great one for you today. It is
• 1:45
  Speaker 1: It is a special episodes one that as soon as
• 1:47
  Speaker 1: they got done recording this one, I just knew this
• 1:49
  Speaker 1: was going to be an all time favor At least
• 1:51
  Speaker 1: I think this is going to be an all time
• 1:52
  Speaker 1: favor as we have the Mad Scientists himself Mark Jury
• 1:56
  Speaker 1: back with us again. But I guess before I go
• 1:59
  Speaker 1: into explaining exactly what we've got going on in this episode,
• 2:02
  Speaker 1: do want to make a super quick plug here. Um,
• 2:05
  Speaker 1: this is actually our last preseason episode of the podcast
• 2:09
  Speaker 1: for two eighteen, because starting this weekend, my hunting season
• 2:13
  Speaker 1: is kicking off, and so is Dan season, and my
• 2:17
  Speaker 1: buddy Further and our producer Spencer, the whole crew, we
• 2:20
  Speaker 1: are all starting our hunting seasons here this weekend. So
• 2:23
  Speaker 1: lots of exciting stuff is going to be happening over
• 2:25
  Speaker 1: the coming days and weeks, and if you want to
• 2:27
  Speaker 1: stay up to date on all that stuff, there are
• 2:29
  Speaker 1: a couple of things that highly suggests you do. Number One,
• 2:33
  Speaker 1: make sure you're following Wired Hunt on Instagram. Number two,
• 2:36
  Speaker 1: make sure you subscribe to the Wired Hunt YouTube channel.
• 2:39
  Speaker 1: Number three, hit us up on Facebook. You know, once
• 2:42
  Speaker 1: the season starts, I'm gonna be posting nearly daily Instagram stories.
• 2:46
  Speaker 1: I'm gonna be documenting exactly what's happening each day. On YouTube,
• 2:49
  Speaker 1: We're gonna have our weekly video blogs. And then of
• 2:52
  Speaker 1: course I'll be sharing lots on Facebook too, including including
• 2:55
  Speaker 1: Facebook Live, Q and A sessions, which I was doing
• 2:57
  Speaker 1: last year during the season. I'm gonna be starting those
• 3:00
  Speaker 1: up again for this season here next week. So make
• 3:02
  Speaker 1: sure you're tapped into all these things. You can follow
• 3:04
  Speaker 1: along with what's going on, not just on the podcast here,
• 3:07
  Speaker 1: but really can see it and feel it, and we
• 3:09
  Speaker 1: share across all these different platforms, so it's gonna be
• 3:11
  Speaker 1: a fun year. Make sure you've hit the follow, hit
• 3:14
  Speaker 1: the subscribe buttons. It's just gonna take a couple of
• 3:16
  Speaker 1: seconds and hopefully be worthwhile and a good time for you.
• 3:20
  Speaker 1: So now with that little plug out of the way,
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  Speaker 1: as I mentioned, Mark Dury is back with us and
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  Speaker 1: our goal for this episode was to produce a sequel
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  Speaker 1: to the podcast that we did back in two thousand
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  Speaker 1: and fifteen that was episode number sixty three titled Predicting
• 3:36
  Speaker 1: Dear Movement with Mark Dury and and that one Mark
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  Speaker 1: walked us through all sorts of different factors and variables
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  Speaker 1: that it looks at when trying to determine when into
• 3:44
  Speaker 1: what degree dear will move. You know, this is important
• 3:47
  Speaker 1: because it's gonna help you understand maybe when you should
• 3:51
  Speaker 1: take your vacation days. This will help you determine maybe
• 3:53
  Speaker 1: when you should go hunting it all. This will help
• 3:55
  Speaker 1: you determine maybe when you should be aggressive and push
• 3:58
  Speaker 1: into your best places, or when you should pull back
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  Speaker 1: and hunt more conservative stance, or hunt in public land
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  Speaker 1: instead of pressuring your really good stuff. So understanding when
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  Speaker 1: deer might move the most, or when that one or
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  Speaker 1: two days when that mature muck might get up on
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  Speaker 1: his feet, that's really really important because because just timing
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  Speaker 1: your hunt's making sure you're in the right places at
• 4:17
  Speaker 1: the right time. That's probably the most important thing that
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  Speaker 1: I've picked up over the last ten years that's helped
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  Speaker 1: make me so much more successful. So this past episode
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  Speaker 1: we did with Mark, number sixty three, it was it
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  Speaker 1: was all about this idea, and it was wildly popular
• 4:31
  Speaker 1: and it got called out by a lot of our
• 4:32
  Speaker 1: listeners as one of their favorites of all time. So
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  Speaker 1: I knew I eventually wanted to get Marked back on
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  Speaker 1: the show to take things even further, and now it
• 4:39
  Speaker 1: seemed like the perfect time to do that because there's
• 4:42
  Speaker 1: this new mobile app that Mark and the team at
• 4:45
  Speaker 1: Drey Outdoors that they're launching is called deer Cast. And
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  Speaker 1: this deer Cast app is really tied in directly to
• 4:51
  Speaker 1: this whole idea of predicting dear movement. I've tried it
• 4:53
  Speaker 1: out now myself. It is very cool, it's very useful.
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  Speaker 1: Um I'll let Mark explain it to you guys here
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  Speaker 1: himself in the second when he gets on. But but
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  Speaker 1: what I can say is this, if you enjoyed episode
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  Speaker 1: number sixty three, this one is going it's gonna knock
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  Speaker 1: your socks stuff. I think we just go into so
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  Speaker 1: much more detail. We examine all sorts of specific examples
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  Speaker 1: and situations. I took a bunch of questions from you,
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  Speaker 1: the listeners about the first episode we did with him,
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  Speaker 1: and asked them to Mark. Asked him questions about, you know,
• 5:22
  Speaker 1: the things that you were confused about from the last time,
• 5:23
  Speaker 1: that things you want more details about last time. You know,
• 5:26
  Speaker 1: we explore the impacts of cold fronts and bare metric
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  Speaker 1: pressure and precipitation and cloud cover and wind speed and
• 5:32
  Speaker 1: direction and thermals and the moon and humidity and time
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  Speaker 1: of year and annual patterns and all that in just
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  Speaker 1: greater detail than ever before. UM. I really think this
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  Speaker 1: is this is a masterclass on predicting deer movement. I
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  Speaker 1: will say this though, if you're new to deer hunting,
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  Speaker 1: this one might be too in the weeds for you. UM,
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  Speaker 1: At a minimum, I'd say that you should listen to
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  Speaker 1: episode number sixty three first, and even after that if
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  Speaker 1: this stuff seems confusing to you, you know, don't get
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  Speaker 1: worried about it. This is this is kind of like
• 6:01
  Speaker 1: graduate level material or PhD level materials, So so you know,
• 6:05
  Speaker 1: go back listen to to sixteen, which is an intro
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  Speaker 1: to deer hunting. Focus on those basics don't get too
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  Speaker 1: wrapped up in this stuff yet. But if you are
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  Speaker 1: a salty old veteran of the woods, and if your
• 6:16
  Speaker 1: dear daddy geek like me, I think you are going
• 6:18
  Speaker 1: to love this one. So rather than beat around the
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  Speaker 1: bush any further, I think we should just dive her
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  Speaker 1: into this one. So we're gonna take a very quick
• 6:26
  Speaker 1: break here and they will get mark jury on the
• 6:28
  Speaker 1: line for this predicting deer movement masterclass. I really hope
• 6:33
  Speaker 1: you enjoy it. And that said, we do need to
• 6:36
  Speaker 1: have a quick thank you here to our partners at
• 6:38
  Speaker 1: Onyx for the support of this podcast. Onyx is the
• 6:42
  Speaker 1: maker of the onyx Hunt app, which is a mobile
• 6:44
  Speaker 1: mapping application that shows you aerial and top of maps,
• 6:47
  Speaker 1: shows you public and private property, borders, hiking trails, campgrounds.
• 6:52
  Speaker 1: It allows you to mark way points, track where you've walked,
• 6:55
  Speaker 1: measure distances and areas, and a whole lot more. And
• 6:58
  Speaker 1: as I mentioned over the last couple of weeks, I've
• 7:00
  Speaker 1: been using onyx now for a number of years. This
• 7:03
  Speaker 1: year in particular, it's been especially helpful. Um I'm actually leaving,
• 7:07
  Speaker 1: as I've mentioned recently here, I'm leaving this weekend for
• 7:09
  Speaker 1: public land hunts in Montana and hopefully North Dakota to
• 7:13
  Speaker 1: and I'm almost a percent dependent on my onyx hunt
• 7:16
  Speaker 1: app to see where this public land is, to find
• 7:18
  Speaker 1: out how to access it, to map my ways in
• 7:20
  Speaker 1: and out, to mark my tree stand locations, to plan
• 7:23
  Speaker 1: where I think they are gonna be coming in and
• 7:25
  Speaker 1: out of, to measure distances from where I can park
• 7:27
  Speaker 1: my truck to get into spots. Um. It's just very
• 7:30
  Speaker 1: very useful, very helpful. I'll be, you know, pulling up
• 7:34
  Speaker 1: on my phone every single day over next week or two.
• 7:36
  Speaker 1: So if you'd like to try out yourself, you can
• 7:38
  Speaker 1: download it from whatever mobile app store you prefer, but
• 7:41
  Speaker 1: make sure you use promo code wired to get off
• 7:45
  Speaker 1: your order so that promo code is wired. W I
• 7:50
  Speaker 1: R E D. Alright, I'm back now with Mark Drury.
• 7:55
  Speaker 1: Thank you for joining me again. Mark, Hey, Mark, thank
• 7:59
  Speaker 1: you for having me a pretty shit. Yeah. I'm excited
• 8:01
  Speaker 1: to chat because we got to chat a decent bit
• 8:04
  Speaker 1: over the last couple of years with percent Wild, but
• 8:07
  Speaker 1: since I've kind of moved off from that this year,
• 8:09
  Speaker 1: we haven't caught up in I don't know, six seven months,
• 8:12
  Speaker 1: so I needed my Mad Scientists fix. I'm excited about
• 8:15
  Speaker 1: this today. I'm particularly excited too, because the last time
• 8:24
  Speaker 1: that you were actually on the Wired Hunt podcast, I
• 8:27
  Speaker 1: was way back in two thousand and fifteen. I believe
• 8:29
  Speaker 1: it was. That was episode number sixty three. We're now
• 8:32
  Speaker 1: on like two twenty nine or two thirty or something
• 8:35
  Speaker 1: like that, so I was a long time ago. But
• 8:37
  Speaker 1: that episode you came on and talked to me and
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  Speaker 1: Dan about predicting deer movement, and we answered a lot
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  Speaker 1: of questions that a lot of people have all the
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  Speaker 1: time about what these different factors are influenced deer movement.
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  Speaker 1: How you look at it, um, I've always thought that
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  Speaker 1: you and Terry had a really interesting perspective on that.
• 8:53
  Speaker 1: In watching your videos and shows, it was that was
• 8:56
  Speaker 1: always one of my favorite things, was hearing why you
• 8:58
  Speaker 1: thought certain things were gonna happen. So we had that episode.
• 9:01
  Speaker 1: It turned out amazing, and it ended up being one
• 9:04
  Speaker 1: of our most popular episodes of all time. It's been
• 9:06
  Speaker 1: downloaded just short of a hundred thousand times now, a
• 9:10
  Speaker 1: lot of people have been diving into that episode. We've
• 9:12
  Speaker 1: gotten so much feedback on it. I've had people people
• 9:15
  Speaker 1: were commenting today when I told folks that we were
• 9:17
  Speaker 1: going to talk to you again about this topic. That
• 9:19
  Speaker 1: said it's the best audio piece of content that's ever
• 9:22
  Speaker 1: been put out in the hunting industry. That's what one
• 9:24
  Speaker 1: person said. So so we've got high, high bar to
• 9:30
  Speaker 1: get over today to try to top that. But but
• 9:32
  Speaker 1: I'm hoping we can because my idea was to go
• 9:37
  Speaker 1: to the two oh one level. If that was like
• 9:39
  Speaker 1: the predicting Dear Movement one o one, this could be
• 9:42
  Speaker 1: predicting dear movement two oh one or three oh one.
• 9:45
  Speaker 1: And where I'm getting with this is that all this
• 9:48
  Speaker 1: is top of mind for me right now because you
• 9:51
  Speaker 1: guys are launching a really cool new project that kind
• 9:54
  Speaker 1: of is all about this, this deer Cast app you
• 9:56
  Speaker 1: guys have got going on. UM. So I guess the
• 10:00
  Speaker 1: first thing I'm curious on Mark, can you give me,
• 10:02
  Speaker 1: like the deer Cast one oh one at the highest level,
• 10:05
  Speaker 1: what this is? Um? And then we can kind of
• 10:08
  Speaker 1: dig in from there, because I think you're you're putting
• 10:10
  Speaker 1: together a tool that's gonna be really really helpful that's
• 10:13
  Speaker 1: related to everything else I want to talk about today.
• 10:15
  Speaker 1: So I'm excited to hear more about this. I think
• 10:18
  Speaker 1: so if Our initial conversation was one on one, you know,
• 10:21
  Speaker 1: and today we're gonna talk a little bit about two
• 10:23
  Speaker 1: oh one. Deer cast would be you know, a graduate
• 10:26
  Speaker 1: course or a master's course. We have worked on this
• 10:30
  Speaker 1: thing tirelessly, literally from about back then until present day,
• 10:35
  Speaker 1: and maybe even prior to that. Terry and I have
• 10:37
  Speaker 1: studied deer movement for many, many years, especially over the
• 10:40
  Speaker 1: last decade a decade and a half. But specifically, uh,
• 10:44
  Speaker 1: this app that we did is and actually it's an
• 10:46
  Speaker 1: algorithm that we developed with an an app developer who
• 10:51
  Speaker 1: understood WHETHER, just like Terry and I did because he's
• 10:54
  Speaker 1: a pilot, so he had you know, he understood the
• 10:56
  Speaker 1: ins and outs of WHETHER, and he understood what we
• 10:58
  Speaker 1: meant when we talked about weather doing certain things because
• 11:01
  Speaker 1: he he was a student of it as well. But
• 11:04
  Speaker 1: he was not a deer hunter, which was good because
• 11:07
  Speaker 1: he had a clean mind. But he has a brilliant
• 11:09
  Speaker 1: mind in terms of we were able to create an
• 11:12
  Speaker 1: algorithm that on an hour by hour basis in your
• 11:15
  Speaker 1: location in other words, the app user's location or a
• 11:18
  Speaker 1: location that he sets or if he has his location
• 11:20
  Speaker 1: services on wherever he's standing, are there standing, it will
• 11:25
  Speaker 1: on an hour by our basis, interpret eleven different weather conditions.
• 11:30
  Speaker 1: It will interpret time of day, it will interpret um
• 11:35
  Speaker 1: the thirteen different phases. So it's actually interpreting about two
• 11:40
  Speaker 1: twenty five different things on an hour by hour basis
• 11:43
  Speaker 1: and then spitting out um a prediction on how the
• 11:48
  Speaker 1: deer should generally be moving in that area or that
• 11:51
  Speaker 1: set location. And we called it deer cast. Uh. So
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  Speaker 1: the things that I used to take hours to study
• 12:00
  Speaker 1: and then decide, Okay, I think here's the day this
• 12:03
  Speaker 1: week the deer are gonna move. Uh. This thing does
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  Speaker 1: in a matter of seconds. And it does it over
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  Speaker 1: and over and over again all day, all day long,
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  Speaker 1: all season long, wherever you're at, or whatever locations you
• 12:14
  Speaker 1: put into it. You can put multiple locations into it.
• 12:17
  Speaker 1: So it is um in my opinion. And I said
• 12:23
  Speaker 1: this the other day that the app almost knows what
• 12:26
  Speaker 1: the deer are gonna do before that deer knows what's
• 12:29
  Speaker 1: gonna do. He'll know it a few days in advance
• 12:31
  Speaker 1: of when the the app will know in advance of
• 12:33
  Speaker 1: when the deer. No, because deer move on instinct. We've
• 12:37
  Speaker 1: patterned that instinct and how they behave in and around
• 12:40
  Speaker 1: certain weather patterns, and we've plugged all that into an
• 12:43
  Speaker 1: algorithm that interprets the weather and then spits out what
• 12:48
  Speaker 1: the deer should be doing. Now, the app can't tell
• 12:52
  Speaker 1: you where to sit. It can't know if coyotes cleared
• 12:55
  Speaker 1: your bed that day. It can't know if three trespassers
• 12:58
  Speaker 1: walked your farm, you know, looking for a stand or
• 13:02
  Speaker 1: a camera. It can't know those things other influencers, but
• 13:07
  Speaker 1: it can know the weather and how it should influence
• 13:10
  Speaker 1: dear movement. Um. We also have a set pessimism in
• 13:15
  Speaker 1: this app for really heavily hunted areas, so we took
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  Speaker 1: it to that level. We have a little bit more
• 13:21
  Speaker 1: of an optimism for lighter hunting areas. UM. So it
• 13:25
  Speaker 1: even takes into consideration that and even even outside of that,
• 13:28
  Speaker 1: you could customize it to your own area by just
• 13:31
  Speaker 1: observing dear movement, looking at what the app tell it
• 13:34
  Speaker 1: is telling you it's gonna do, and then having your
• 13:36
  Speaker 1: own set of pessimism or are optimism and go, you
• 13:39
  Speaker 1: know what, the app is consistently always too optimistic or
• 13:42
  Speaker 1: it's consistently too pessimistic form my area, and you can
• 13:46
  Speaker 1: you can adjust on your own. And I would advise
• 13:49
  Speaker 1: people to do that because not every deer hurts created equal.
• 13:52
  Speaker 1: You know, Mark, if I came up to Michigan and
• 13:54
  Speaker 1: huntred your deer, they're gonna probably react differently to the
• 13:57
  Speaker 1: weather than they do down at my Texas lease or
• 14:00
  Speaker 1: so and so forth. So the app is going to
• 14:03
  Speaker 1: generally tell you pick out tendencies of when deer should
• 14:06
  Speaker 1: be moving, but then you can, you know, adjust it
• 14:09
  Speaker 1: to your own hunting experiences. UH. The app is free
• 14:12
  Speaker 1: this first inaugural season for everybody to use and understand.
• 14:16
  Speaker 1: And we've got some tremendous help in there in terms
• 14:19
  Speaker 1: of how to use the app, how to hunt with
• 14:21
  Speaker 1: the app, some really cool visual tools that that should
• 14:24
  Speaker 1: help everybody understand it. UH. In addition to that, the
• 14:28
  Speaker 1: entire Dree Outdoors Library is found within this app. So
• 14:32
  Speaker 1: there's a hundred and fifteen DVDs that are found within
• 14:35
  Speaker 1: this app. There's over twenty tho minutes of d O
• 14:38
  Speaker 1: d t V content in there. There are stories there
• 14:41
  Speaker 1: that are being uploaded on a weekly daily basis. We
• 14:44
  Speaker 1: have twelve staff writers that are writing you know, hunting
• 14:47
  Speaker 1: content for us. UH. It's it's pretty incredible offering and
• 14:51
  Speaker 1: and for the first time ever we have deer cast
• 14:54
  Speaker 1: now and everybody wants to be you know, immediate gratification,
• 14:58
  Speaker 1: be in the now, being the know behind the scenes. Well,
• 15:01
  Speaker 1: every kill as they happen from the dry Outdoors team,
• 15:03
  Speaker 1: and historically we kill about a hundred a year. Uh,
• 15:06
  Speaker 1: they'll they'll be on the app the moment we can
• 15:09
  Speaker 1: get them up there. In other words, if Matt Drewry
• 15:11
  Speaker 1: goes out and kills a one eight, we're gonna try
• 15:14
  Speaker 1: and get that sucker uploaded onto the app, the actual
• 15:16
  Speaker 1: kill shot that day, with how I killed it and
• 15:19
  Speaker 1: what's going on in his area, so that people can
• 15:21
  Speaker 1: not only learn from the app and the weather predictor
• 15:24
  Speaker 1: and the deer movement predictor, but also how our guys
• 15:27
  Speaker 1: are succeeding in the field of tactics they're using, etcetera, etcetera.
• 15:31
  Speaker 1: So it's a it's a very fun filled app, it's
• 15:34
  Speaker 1: a smart app, and it's it's a product we're very
• 15:37
  Speaker 1: proud to put the d D and the Drewy Outdoors
• 15:39
  Speaker 1: brand on. Yeah, it's pretty incredible. When I first heard
• 15:43
  Speaker 1: about the idea of an app, I had, you know,
• 15:45
  Speaker 1: I knew it would be interesting, But when I've heard
• 15:48
  Speaker 1: about what's really going to be in it? Um, My
• 15:50
  Speaker 1: mind's a little bit blown. You guys have really outdone yourself.
• 15:53
  Speaker 1: I think I can't wait to get my hands on it. Um,
• 15:56
  Speaker 1: can you describe though, what like the output looks like
• 15:59
  Speaker 1: if going back to the dear cast portion of it,
• 16:01
  Speaker 1: the actual predictor portion. So I go in there, I've
• 16:04
  Speaker 1: I've slept to my location. Um now I'm looking at
• 16:08
  Speaker 1: like my five day forecast or whatever that might be,
• 16:10
  Speaker 1: trying to figure out, okay, what's the best days or
• 16:12
  Speaker 1: how are these up coming this upcoming weekend? Look, can
• 16:15
  Speaker 1: you describe us a little bit of what we're actually
• 16:17
  Speaker 1: gonna see? Is it just gonna say like Friday good,
• 16:19
  Speaker 1: Saturday great? Or is there more detail? What does that
• 16:22
  Speaker 1: it'll look like compared to like a typical weather app
• 16:24
  Speaker 1: or something. Absolutely it will remind you of a weather
• 16:27
  Speaker 1: app in terms of um, you know, it's stakes certain
• 16:32
  Speaker 1: things that are important to hunters, and these are ones
• 16:34
  Speaker 1: Terry and I picked out. For instance, I'm looking at
• 16:37
  Speaker 1: that my dear cast version right now, and it says
• 16:39
  Speaker 1: today my location is set for the farm, and it
• 16:44
  Speaker 1: tells me that today's average high is eighty four, which
• 16:48
  Speaker 1: is very important. And I don't know that I speak
• 16:50
  Speaker 1: much on the departure from average temperature in two thousand
• 16:54
  Speaker 1: and fifteen and how important it is for dear movement. Uh,
• 16:57
  Speaker 1: you know a little bit when we talked about fronts.
• 16:59
  Speaker 1: I definitely want to dive into that more though. Okay,
• 17:02
  Speaker 1: So the first thing it states is today's high and low,
• 17:07
  Speaker 1: what today's average highest, which is very important. It tells
• 17:10
  Speaker 1: you sunrise and sunset, very important every deer hunter. It
• 17:13
  Speaker 1: tells you moon rise and moonset. It tells you the
• 17:16
  Speaker 1: precipitate precipitate chance, It tells you the bara metric pressure,
• 17:22
  Speaker 1: and it tells you the wind direction and speed. So
• 17:25
  Speaker 1: they're in one quick snapshot basically tells you everything a
• 17:29
  Speaker 1: deer hunter wants to know on a day in and
• 17:31
  Speaker 1: day out basis, and that those are some of the
• 17:33
  Speaker 1: weather conditions, you know, like I'd have to go to
• 17:36
  Speaker 1: three different apps to find all of those out and
• 17:39
  Speaker 1: write them down. I don't know about you, I've never
• 17:40
  Speaker 1: seen one stated like that. This one has it all
• 17:43
  Speaker 1: right there in one screen shot for today. If I
• 17:46
  Speaker 1: touch today, it then takes me into the deer cast.
• 17:50
  Speaker 1: All right, today, the morning is good evening is good.
• 17:54
  Speaker 1: There are four categories of movements, which, if you think
• 17:57
  Speaker 1: about it, they either move really good, really at or
• 18:00
  Speaker 1: somewhere in the middle. So our different categories are you know, poor,
• 18:07
  Speaker 1: are bad, poor, good, great. That's the way that we
• 18:12
  Speaker 1: broke them down. You can click on tomorrow it will
• 18:15
  Speaker 1: give you tomorrow's sports deer cast, Thursdays, Friday's, Saturday's, or
• 18:22
  Speaker 1: you can click hourly detail, so it'll it'll give five
• 18:27
  Speaker 1: days worth of deer cast, and we could have given
• 18:30
  Speaker 1: fifteen if we wanted to. However, because of the variability
• 18:36
  Speaker 1: of weather forecast, we felt like it would be an
• 18:38
  Speaker 1: injustice to the hunter for him to plan a hunt
• 18:41
  Speaker 1: ten days out when in reality that weather data is
• 18:45
  Speaker 1: about accurate ten days out, if you know what I mean.
• 18:49
  Speaker 1: If you look at every weather forecaster out there, they're
• 18:53
  Speaker 1: most accurate within about twenty four to seventy two hours.
• 18:57
  Speaker 1: So thusly the deer cast is going to be much
• 19:00
  Speaker 1: more accurate in the short term and it will be
• 19:02
  Speaker 1: long term. We've extended it to five, but we didn't
• 19:05
  Speaker 1: want to go beyond that because we felt like six, seven, eight, nine,
• 19:09
  Speaker 1: and ten. As we watched it last fall, we had
• 19:11
  Speaker 1: a deer cast beta test on a ten day forecast,
• 19:14
  Speaker 1: but hell, by the time you got today, six, seven,
• 19:16
  Speaker 1: and eight, it was no longer accurate because the weather
• 19:19
  Speaker 1: forecast to change fifteen times, So we give it to five.
• 19:23
  Speaker 1: But we will absolutely admit the days that are most
• 19:26
  Speaker 1: accurate are the ones where the weather forecast is most accurate.
• 19:29
  Speaker 1: So it's days two and three, okay, But you can
• 19:33
  Speaker 1: click into the hourly details, and then in the hourly details,
• 19:37
  Speaker 1: the top line is deer movement, and you can scan
• 19:40
  Speaker 1: your hand across that middle or your finger and it
• 19:42
  Speaker 1: will take you across five different days and show you
• 19:45
  Speaker 1: the trends as they're trending to better movement, stable movement,
• 19:50
  Speaker 1: worst movement, you know, as it's tailing off, and then stable,
• 19:53
  Speaker 1: poor movement, whatever it is. You then go into uh
• 19:57
  Speaker 1: it also on that same line. All of this is
• 19:59
  Speaker 1: at once. It's as you dear movement shows you barometer,
• 20:01
  Speaker 1: it shows you precipitation, it shows you cloud cover, it
• 20:05
  Speaker 1: shows you temperature, it shows you average high it shows
• 20:08
  Speaker 1: you wind direction and wind speed. So all of that,
• 20:12
  Speaker 1: and that's that's not all the predictors that you're you're
• 20:15
  Speaker 1: looking at, but all of that is what the app
• 20:17
  Speaker 1: interpreting and that's what you can see on a daily basis.
• 20:20
  Speaker 1: So then go right below that and there's about a
• 20:24
  Speaker 1: ten to twelve minute video that says Phase one because
• 20:27
  Speaker 1: that's the first phase, and you'll see every single tactic
• 20:31
  Speaker 1: we use during this space. So it goes beyond understanding
• 20:33
  Speaker 1: the weather. Now we're getting into hunting tactics, similar to
• 20:36
  Speaker 1: the tactics you see on thirteen. If you took all
• 20:40
  Speaker 1: of those tactical breakdowns we've been across the first fourth
• 20:43
  Speaker 1: season and glue them all together, that is what you
• 20:46
  Speaker 1: would have there. So it goes through all the tactics,
• 20:48
  Speaker 1: goes through all our breakdown to all that information that's
• 20:50
  Speaker 1: on thirteen, and there after that it then goes sorry.
• 20:56
  Speaker 1: Then it goes into a variety of different interviews that
• 20:59
  Speaker 1: Tear and I did in terms of the influencers for
• 21:04
  Speaker 1: that day. The first one will be time of day,
• 21:06
  Speaker 1: so that you understand clearly in Phase one when we
• 21:10
  Speaker 1: see the most daylight activity, so always watch time of day.
• 21:13
  Speaker 1: That's very important for each phase. Then it goes into
• 21:17
  Speaker 1: cloud cover barometer, time of day, cloud cover overview barometer,
• 21:21
  Speaker 1: overview average, temperature, moon overview average temperare average temperature overview
• 21:26
  Speaker 1: and so and so forth. So it goes through all
• 21:28
  Speaker 1: these different weather influencers and then we tell you why
• 21:32
  Speaker 1: the deer are moving poorly that day, are great that day,
• 21:35
  Speaker 1: based on whatever weather conditions the app is recognizing. So
• 21:38
  Speaker 1: we sat and we did interviews at nauseum based on
• 21:42
  Speaker 1: every condition that could possibly happen during every phase. And
• 21:45
  Speaker 1: when it comes up, you will see a video of
• 21:48
  Speaker 1: Terry and I breaking it down what that weather conditions
• 21:51
  Speaker 1: doing or should do to your dear that particular time
• 21:54
  Speaker 1: of the year. It's pretty pretty thorough. I say, it's
• 22:00
  Speaker 1: not only the cheat sheet, it's the whole test and
• 22:03
  Speaker 1: all the answers. Man, I mean you've got the cheat sheet. Okay,
• 22:06
  Speaker 1: dear moving great today. Well, if you'll take the time,
• 22:08
  Speaker 1: and some people will want to and some people won't,
• 22:11
  Speaker 1: you're gonna be one of those guys that watch them all.
• 22:13
  Speaker 1: I know how you are. You can go down. You
• 22:15
  Speaker 1: can go down and watch all those those interviews and
• 22:19
  Speaker 1: it's it is four oh one in terms of weather um,
• 22:23
  Speaker 1: in terms of deer movement as it pertains to the weather. Yeah,
• 22:26
  Speaker 1: the way I'm imagining this just from what I've heard
• 22:29
  Speaker 1: you say, and from hearing a little bit more, it
• 22:31
  Speaker 1: seems like it's gonna be really not just not just
• 22:34
  Speaker 1: a cheat sheet, but like an incredible tool to help
• 22:36
  Speaker 1: you just learn more about this stuff too, because you
• 22:39
  Speaker 1: can you can take all these different influencers that maybe
• 22:41
  Speaker 1: already you're starting to pay attention to just as an individual,
• 22:44
  Speaker 1: and then you can compare and contrast that to what's
• 22:47
  Speaker 1: being told, what's being shown on the deer cast, compare
• 22:50
  Speaker 1: that against the different factors and and things that you're
• 22:53
  Speaker 1: explaining those videos. It seems like a kind of three
• 22:56
  Speaker 1: sixty degree way to to learn about this stuff too,
• 22:59
  Speaker 1: not just the endver's all, but I'll actually also learn
• 23:01
  Speaker 1: how to better predict some of these things yourself, um,
• 23:04
  Speaker 1: which will only help help you alongside the app, I
• 23:07
  Speaker 1: would imagine absolutely. We like to say, every single thought
• 23:12
  Speaker 1: that's in mine and Terry's head is in this app.
• 23:15
  Speaker 1: If you will take the time to watch it, you
• 23:17
  Speaker 1: will know exactly what's in our head. And and that's
• 23:20
  Speaker 1: all that's a little scary. But if it's every single thought,
• 23:25
  Speaker 1: but that's in there man, as it pertains the dear
• 23:29
  Speaker 1: movement in the weather, every thought we have is in
• 23:31
  Speaker 1: this app and I'm not joking. So so here's then
• 23:36
  Speaker 1: the question that some people are gonna have. I feel
• 23:38
  Speaker 1: like when we get into this topic of predicting deer movement,
• 23:42
  Speaker 1: there's gonna be some naysayers who are like people that
• 23:45
  Speaker 1: focus so much on this stuff are just looking for
• 23:47
  Speaker 1: excuses not to hunt. They're just looking for you know,
• 23:51
  Speaker 1: just go hunt when you can, is what they're gonna say.
• 23:53
  Speaker 1: If you can hunt, just get out there. None of
• 23:55
  Speaker 1: this stuff matters. People get all caught up into it
• 23:57
  Speaker 1: too much. So to that person, could you tell me?
• 24:01
  Speaker 1: What would you tell them? Why? Why is this important?
• 24:03
  Speaker 1: Why is it important to be able predict dear movement? Well,
• 24:07
  Speaker 1: I'm that person. I mean I hunted every single day
• 24:10
  Speaker 1: of the Iowa both season last year, from start to finish,
• 24:13
  Speaker 1: every day of the Missouri season. You know, if I
• 24:14
  Speaker 1: went to Missouri, I was in Iowa vice versa, or
• 24:17
  Speaker 1: I was in Texas, I hunted every day of the
• 24:18
  Speaker 1: season last year. So whether it's said good, bad or otherwise,
• 24:22
  Speaker 1: because it's in my soul, I want to go hunting. However,
• 24:26
  Speaker 1: where I hunted very drastically based on the deer cast
• 24:29
  Speaker 1: that I was looking at and what I thought was
• 24:32
  Speaker 1: going to happen, and I've always been that way. I
• 24:34
  Speaker 1: will not go into those premier great spots on a
• 24:37
  Speaker 1: bad day. I will, however, still go hunt. Maybe it's
• 24:40
  Speaker 1: an observatory stand. Maybe it's somewhere where I'm trying to
• 24:43
  Speaker 1: look for another buck. Maybe it's a stand where I
• 24:45
  Speaker 1: just want to go take a dough things like that.
• 24:47
  Speaker 1: So it helps you understand the good places to hunt,
• 24:52
  Speaker 1: the bad places to hunt, and when to hunt them.
• 24:54
  Speaker 1: So absolutely I'm that guy. Go hunt every single day,
• 24:58
  Speaker 1: but make a good choice about where you choose to sit. Yeah,
• 25:01
  Speaker 1: So what would it be fair to say that you
• 25:03
  Speaker 1: have you know all these different locations across your your
• 25:06
  Speaker 1: hunting properties, that there are certain times of the year
• 25:10
  Speaker 1: that you know certain spots can be hunted or cannot
• 25:12
  Speaker 1: be hunted. There are certain types of days like good days,
• 25:15
  Speaker 1: bad days, poor days, great days, that certain stands will
• 25:18
  Speaker 1: be ranked according to all these things. So you're you're
• 25:21
  Speaker 1: every day looking at this and say, okay, based on
• 25:23
  Speaker 1: my prediction of deer movement, I then it filters the
• 25:27
  Speaker 1: list of possible places to hunt, right absolutely absolutely does
• 25:32
  Speaker 1: you know? And you learn all that sort of previous
• 25:34
  Speaker 1: years hunting and making mistakes. It's really the only way
• 25:37
  Speaker 1: you can learn it. So you gotta go to make mistakes,
• 25:40
  Speaker 1: you know, and when you make them, successful hunting is
• 25:43
  Speaker 1: all about avoiding those mistakes. As you know, the older
• 25:47
  Speaker 1: you get, the wiser you get, the less mistakes you make,
• 25:50
  Speaker 1: and the more the more success you have. And that's uh,
• 25:53
  Speaker 1: that's part of any process, regardless of what it is,
• 25:57
  Speaker 1: whether it's golf or or archery, or hunting or baseball. Man,
• 26:01
  Speaker 1: you learn from your mistakes, and the good ones smart
• 26:04
  Speaker 1: one don't make many mistakes. Do you're the same? What
• 26:08
  Speaker 1: look at him when they are a year and a half.
• 26:10
  Speaker 1: Don't hunt that guy, and then you don't hunt when
• 26:12
  Speaker 1: he's four or five. He's made every mistake in the book.
• 26:14
  Speaker 1: He's still alive. He didn't make him twice, generally done twice.
• 26:19
  Speaker 1: That's why they're the toughest game antim to consistently kill.
• 26:22
  Speaker 1: In my opinion, mature don't kill six year older every year.
• 26:27
  Speaker 1: It's it's almost impossible, very very tough. Yeah. So so
• 26:30
  Speaker 1: speaking of mature white tail bucks, then you as you
• 26:34
  Speaker 1: as you usually do. You had a great season last year.
• 26:38
  Speaker 1: I think if I saw the journal interests right you
• 26:40
  Speaker 1: killed four white tail bucks last year. Do you have
• 26:44
  Speaker 1: are any of one of those or maybe two of those?
• 26:47
  Speaker 1: An example you can share with us about how the
• 26:50
  Speaker 1: predictions influenced that hunt, how you change your decision, making
• 26:54
  Speaker 1: your actions based off that prediction, how that ended up
• 26:56
  Speaker 1: leading to success, or anything along those lines. Um, everyone,
• 27:03
  Speaker 1: I used deer cast for because we were studying it
• 27:06
  Speaker 1: so so intensely. And you know, I also filmed several
• 27:11
  Speaker 1: people killed deer last year, you know, Taylor and my
• 27:13
  Speaker 1: sisters and Bruce Pettitt, and you know, we had a
• 27:16
  Speaker 1: tremendous season. And we also had a season that since
• 27:20
  Speaker 1: I've been doing this, I've never seen better conditions more
• 27:23
  Speaker 1: consistently than we had last ball. I don't know if
• 27:25
  Speaker 1: you noticed that or if they were that good for
• 27:27
  Speaker 1: you up there mid October on it was great. Oh, tremendous, man.
• 27:34
  Speaker 1: We had below average temperatures, We had incredible bouts of
• 27:37
  Speaker 1: high pressure that wouldn't go away, and the deer moved incredibly.
• 27:41
  Speaker 1: Last ball moon was great. It hit a good times,
• 27:44
  Speaker 1: and uh, it was fun. So I used deer casts
• 27:48
  Speaker 1: on every single hunt that I had. Did it steer me?
• 27:52
  Speaker 1: You know, differently from from the decision I would have
• 27:55
  Speaker 1: made anyway. No, but I was able to make those
• 27:58
  Speaker 1: decisions decisions in a much quicker process because keep in
• 28:02
  Speaker 1: mind that the deer cast is my thoughts and mine
• 28:05
  Speaker 1: and terries, you know, and it's what we've done for
• 28:08
  Speaker 1: the last ten years. We've really homed it. But if
• 28:11
  Speaker 1: it really wouldn't, I would have still hunted the exact
• 28:13
  Speaker 1: same place as I hunted. Yeah, so it probably, you know,
• 28:17
  Speaker 1: so it probably didn't change me because this is the
• 28:20
  Speaker 1: way I've been hunting based around the weather and and
• 28:22
  Speaker 1: those influencers and where I need to be in in uh,
• 28:25
  Speaker 1: where I didn't. That's that's you know why we did
• 28:27
  Speaker 1: the interviews back in fifteen and we started talking about
• 28:30
  Speaker 1: these weather influencers. Yeah, I think I asked my question wrong.
• 28:33
  Speaker 1: What I meant was not not deer cast, but just
• 28:36
  Speaker 1: simply the information, you know. So for let my hypothetical be, okay, on,
• 28:42
  Speaker 1: you killed the buck on the first day of October,
• 28:44
  Speaker 1: So could you tell us what do you remember about
• 28:48
  Speaker 1: the conditions that day that made you think, Okay, yeah,
• 28:50
  Speaker 1: this is gonna be a day I need to go
• 28:51
  Speaker 1: to ex place um or were the conditions some certain
• 28:54
  Speaker 1: way that made you say, oh, because of this, I
• 28:57
  Speaker 1: know that I can you know, I have to lay
• 28:59
  Speaker 1: back an observation stand or I know I can push
• 29:02
  Speaker 1: in and get to this spot because it's gonna be windy,
• 29:04
  Speaker 1: and I can be more aggressive. I'm curious to hear
• 29:06
  Speaker 1: how the specific influencers that day led to your success
• 29:10
  Speaker 1: and led to your decisions. That's I think when I
• 29:12
  Speaker 1: most Yeah, absolutely, yeah. It was October one, and I
• 29:16
  Speaker 1: did kill a deer that day. He was my number
• 29:18
  Speaker 1: one target here on the whole farm. I was extremely
• 29:20
  Speaker 1: fortunate because in all reality that I went to a
• 29:24
  Speaker 1: number two slot that day in my opinion, In other words,
• 29:26
  Speaker 1: I had one that I thought was a little bit better.
• 29:29
  Speaker 1: And it was not the first south after North, if
• 29:31
  Speaker 1: I'm not mistaken, it was the second, but it had
• 29:33
  Speaker 1: some speed to it. We also had crowd cover, which
• 29:36
  Speaker 1: I kind of like earlier in the season more so
• 29:38
  Speaker 1: than I like it late in the season. And uh,
• 29:41
  Speaker 1: I thought, you know what, it's gonna be pretty good today,
• 29:43
  Speaker 1: but I didn't think it was gonna be the optimum day.
• 29:46
  Speaker 1: And and indeed the forecast, the deer cast said good,
• 29:49
  Speaker 1: it didn't say great. So I went to a number
• 29:51
  Speaker 1: two slot. And I didn't think that I would see
• 29:54
  Speaker 1: him where I did, but I did um see him there.
• 29:57
  Speaker 1: He was about three or four hundred yards from where
• 30:00
  Speaker 1: I thought I was going to kill that deer. I
• 30:02
  Speaker 1: had two or three places where I thought I could
• 30:04
  Speaker 1: kill him, and this was lower on the totem pole.
• 30:07
  Speaker 1: But I went there because I didn't have the ultimate
• 30:10
  Speaker 1: forecast in terms of dear movement are in terms of
• 30:13
  Speaker 1: the weather, and I just got very fortunate that he
• 30:15
  Speaker 1: walked onto that field that night. I had history of
• 30:18
  Speaker 1: him in that field and years past, and I have
• 30:21
  Speaker 1: history of a big mature bucks in that particular field,
• 30:24
  Speaker 1: but I didn't have as much history there as I
• 30:26
  Speaker 1: did in a few other places. So I think the
• 30:28
  Speaker 1: stars kind of lined up and I had some good
• 30:31
  Speaker 1: fortune there. But the deer cast pushed me to go
• 30:34
  Speaker 1: to a number two slots instead of number one as
• 30:36
  Speaker 1: far as what in my mind was the best place
• 30:38
  Speaker 1: to kill him. Interesting. So so then my next thing
• 30:40
  Speaker 1: I'm curious about that is, could you describe what was
• 30:43
  Speaker 1: the scenario there that made that a number two? And
• 30:46
  Speaker 1: then what was the scenario in the top spots where
• 30:49
  Speaker 1: you thought you were going to kill him? What was
• 30:50
  Speaker 1: the train or what was. I'm just curiously understand totally
• 30:55
  Speaker 1: frequency of pictures of him totally frequenting that area years
• 31:00
  Speaker 1: passed and already last year. That was that was what
• 31:03
  Speaker 1: made my determination. He was my number one target. So
• 31:06
  Speaker 1: that's the only buck I was gonna hunt. So therefore
• 31:08
  Speaker 1: I was only hunting him based on previous years uh pictures.
• 31:14
  Speaker 1: I had a number another one close to a pond,
• 31:17
  Speaker 1: a staging plot that I got him a lot at
• 31:20
  Speaker 1: the past two or three years. Probably probably forty of
• 31:25
  Speaker 1: the daylight pictures that I had of that deer was
• 31:28
  Speaker 1: over there um at that spot, so I considered it
• 31:31
  Speaker 1: my number one, and then this number two spot I
• 31:34
  Speaker 1: had maybe daylight activity on that field um and then
• 31:40
  Speaker 1: obviously daylight activity in between. But I wasn't going to
• 31:42
  Speaker 1: go into the cover that time of year. Man, it's
• 31:44
  Speaker 1: all about green. It's green revisited. And both of them
• 31:46
  Speaker 1: were green food sources. One of them I planted um
• 31:50
  Speaker 1: in case we got good rains, and it came on
• 31:53
  Speaker 1: and it did well. The other one was a clover field,
• 31:55
  Speaker 1: and that's in case you don't get very good rains.
• 31:57
  Speaker 1: Those clover fields are incredible insurance policies. For years where
• 32:00
  Speaker 1: in a drought and barely get any rain, they'll they'll
• 32:02
  Speaker 1: get green quicker than a you know, an annual flip
• 32:05
  Speaker 1: plot that you put in. So I had options for him,
• 32:09
  Speaker 1: and he was my number one target going in. Yeah,
• 32:12
  Speaker 1: So what about a scenario where you get the bad conditions.
• 32:19
  Speaker 1: Let's say it's early October now, and I guess let
• 32:22
  Speaker 1: me reframe this during that time frame. Could you outline
• 32:26
  Speaker 1: for me what like an awful day would be? So
• 32:28
  Speaker 1: what would be the influencers or conditions that you seem like, oh,
• 32:30
  Speaker 1: this is this is gonna be a bad day. Deer
• 32:33
  Speaker 1: cast is showing me bad but you still want to hunt,
• 32:36
  Speaker 1: So what are you doing that scenario? Dropping pressure? Uh?
• 32:40
  Speaker 1: Third third day of south, second day of fuse is
• 32:43
  Speaker 1: usually tough after you know, say you've had a cold
• 32:45
  Speaker 1: fra a bunch of north with high pressure, and then
• 32:48
  Speaker 1: the first day of south always awesome. And one thing
• 32:51
  Speaker 1: about dear, if you're sitting there having a good sit
• 32:55
  Speaker 1: you're about to have a bad one because they just
• 32:57
  Speaker 1: don't do the same things day and day. So if
• 33:00
  Speaker 1: you've been having good movement, you can just about bet
• 33:03
  Speaker 1: you're about to have some poor movement because they just
• 33:05
  Speaker 1: don't do it day in and day out. So stable
• 33:08
  Speaker 1: pressure that's below thirties, say it's like twenty nine eight five,
• 33:12
  Speaker 1: and it's gonna be that for three straight days with
• 33:14
  Speaker 1: south winds and above average temperatures. I mean, the it's
• 33:19
  Speaker 1: just horrible. It's horrible. I mean, it's just you know,
• 33:22
  Speaker 1: when those temperatures start to creep above that average high
• 33:26
  Speaker 1: and really depart from it, it is such a deterrent
• 33:30
  Speaker 1: it's not even funny. It's almost a linear relationship between
• 33:34
  Speaker 1: departure from average high, whether that be in the positive
• 33:37
  Speaker 1: or negative direction, and overall dear movement. It's a major influencer.
• 33:43
  Speaker 1: It's it's one of the key things that we look at.
• 33:45
  Speaker 1: One of the elevens. Yeah, would you is it fair
• 33:47
  Speaker 1: to say that would be the top of the list,
• 33:49
  Speaker 1: number one, Mm hmmm, it's no, it's one of them.
• 33:55
  Speaker 1: It's one of them. But pressure is also up there. Um,
• 34:01
  Speaker 1: you know, wind speed, wind directions up there, precipts up there.
• 34:04
  Speaker 1: There's a lot of them that are very close in relativity,
• 34:06
  Speaker 1: so it but those vary, that varies from phase to phase.
• 34:10
  Speaker 1: That's the other thing we've we've picked apart here within
• 34:12
  Speaker 1: deer casts like there are certain influencers that are much
• 34:16
  Speaker 1: more important in phase one than they are in phase
• 34:20
  Speaker 1: twelve and thirteen, and the algorithm looks at that and
• 34:24
  Speaker 1: then interprets the importance level and ranks them accordingly. So
• 34:28
  Speaker 1: therefore they are waited differently by phase based on the
• 34:32
  Speaker 1: way we've seen them affect the deer by phase. Um,
• 34:35
  Speaker 1: So what kind of what kind of factors are different
• 34:39
  Speaker 1: in that kind of way. To give an example of
• 34:40
  Speaker 1: one that is really important, plod covers major differentiator. Yeah,
• 34:46
  Speaker 1: early season clouds almost always always a company cooler weather,
• 34:52
  Speaker 1: rainy days, and the deer move like crazy. Um. Later
• 34:56
  Speaker 1: in the year, you you you've eliminated what they're most
• 35:01
  Speaker 1: what they're most looking for, which is thermal cover in
• 35:03
  Speaker 1: the In the early part of the season, you eliminate
• 35:06
  Speaker 1: thermal cover at cools the earth, they move better. In
• 35:08
  Speaker 1: the latter part of the season, when it's cold and
• 35:11
  Speaker 1: you eliminate the sun, they get cooled off and therefore
• 35:15
  Speaker 1: they don't move as well. So it is an influencer
• 35:18
  Speaker 1: early in the season, it is something that influences them
• 35:21
  Speaker 1: in a negative way in the late season. It's a
• 35:24
  Speaker 1: great example of how a weather factor differentiates an importance
• 35:30
  Speaker 1: from phase to phase. Um, So back to my question
• 35:34
  Speaker 1: I asked before that though, So back to the bad day.
• 35:37
  Speaker 1: You've got the horrible conditions you just mentioned there, what
• 35:40
  Speaker 1: do you then do from a hunting standpoint? What are
• 35:42
  Speaker 1: you what's your go to move for those lousy days.
• 35:46
  Speaker 1: I'm gonna hunt something on the extreme um outskirts of
• 35:50
  Speaker 1: a farm. I'm probably gonna go try and fill the
• 35:53
  Speaker 1: freezer with a dough or I'm gonna sit somewhere where
• 35:56
  Speaker 1: I might be able to kill a buck, but I'm
• 35:57
  Speaker 1: also observing something that helps me learn a part of
• 36:00
  Speaker 1: the farm. I do a lot of hunt slash scout days.
• 36:04
  Speaker 1: In other words, I don't think I'm gonna go in
• 36:07
  Speaker 1: for the kill. I'm not going for the home run.
• 36:09
  Speaker 1: So I'm gonna sit somewhere where I can learn something
• 36:11
  Speaker 1: and become better at a certain part of the farm
• 36:13
  Speaker 1: in future days. I do a lot of observation. You know,
• 36:17
  Speaker 1: the cameras only tell you so much. They only show
• 36:19
  Speaker 1: you a few feet, right, you know you really the
• 36:21
  Speaker 1: way you learn a farm is with your eyeballs. Yeah,
• 36:26
  Speaker 1: so so let's let's step back them. Because we talked
• 36:29
  Speaker 1: about why this stuff is important. You know when you
• 36:32
  Speaker 1: when you do have the right conditions, that's going to
• 36:33
  Speaker 1: influence you to to go into your best spots, to
• 36:36
  Speaker 1: be more aggressive, to go for the kill. When you've
• 36:38
  Speaker 1: got the poor conditions, you're gonna state out a little bit.
• 36:41
  Speaker 1: You're gonna be more conservative, You're gonna observe, you're gonna
• 36:43
  Speaker 1: try to learn, but you're not gonna go for the
• 36:44
  Speaker 1: home run. UM. So deer cast is going to be
• 36:48
  Speaker 1: a tool to to figure all this stuff out. But
• 36:50
  Speaker 1: I want to dive into a little more on each
• 36:51
  Speaker 1: of these influencers. Can you share what the eleven influencers are,
• 36:55
  Speaker 1: um that you're including in there. I think we've kind
• 36:57
  Speaker 1: of mentioned most of them, but if we haven't, UM,
• 37:00
  Speaker 1: I know things that temperature, very much of pressure, wind speed,
• 37:03
  Speaker 1: wind direction, precipitation, moon, Um, what are the other ones
• 37:08
  Speaker 1: that I'm missing there? I don't have the list right
• 37:12
  Speaker 1: in front of me. Um. Time of day is a
• 37:15
  Speaker 1: big one, but that's not really a weather influencers but
• 37:18
  Speaker 1: but it is a weather influencer. The barometer. I don't
• 37:20
  Speaker 1: know if you mentioned that change in barometric pressure, wind speed,
• 37:28
  Speaker 1: wind directions, and then wind as it relates both backwards
• 37:33
  Speaker 1: and forward. That's the other thing that the app does.
• 37:36
  Speaker 1: It not only looks at the time of that you're
• 37:39
  Speaker 1: in today, it's looking backwards and it's looking forwards because
• 37:45
  Speaker 1: it interprets how the deer should have just acted. It
• 37:48
  Speaker 1: also interprets how the deer are about to act and
• 37:52
  Speaker 1: then gives you a prediction based on that. If that
• 37:54
  Speaker 1: makes sense, it's very very cool. Uh breach temperature, um temperature,
• 38:03
  Speaker 1: change in temperature, precipitation rate, change in precipitation, right moon,
• 38:12
  Speaker 1: Uh do is that? I think that's probably eleven of them.
• 38:17
  Speaker 1: I don't know if I missed any. Those are just
• 38:18
  Speaker 1: off memory. I don't have my list right in front
• 38:20
  Speaker 1: of me, but I think I've hit them all. Yeah, covered,
• 38:24
  Speaker 1: pod cover, changing cloud cover. Yeah. So, I just like you,
• 38:29
  Speaker 1: I geek out over this stuff. This stuff fascinates me
• 38:32
  Speaker 1: so much and obviously a lot of other people, because
• 38:34
  Speaker 1: I know you've been inundated with questions over the years,
• 38:37
  Speaker 1: and I've been inundated with questions over the years on
• 38:39
  Speaker 1: this stuff. So for a few of these, if you're
• 38:42
  Speaker 1: up for it, I kind of want to touch on, Okay,
• 38:45
  Speaker 1: influencer A and then if you can give me like
• 38:48
  Speaker 1: the twenty second like overview of like that this is
• 38:51
  Speaker 1: this is cold front one oh one, simply because if
• 38:54
  Speaker 1: people haven't heard the past podcast what we did with you,
• 38:57
  Speaker 1: or if someone's brand new to hunting, I want to
• 38:58
  Speaker 1: make sure we at least get the Bay six out there.
• 39:00
  Speaker 1: But then I've got some really detailed questions about specific
• 39:03
  Speaker 1: situations and things like that, um that maybe we can
• 39:06
  Speaker 1: dive into from there. So so let's at the highest
• 39:09
  Speaker 1: level really quick temperature cold fronts. Can you give me
• 39:13
  Speaker 1: the one on one on on why that's important what
• 39:16
  Speaker 1: you look at there? And then I've got a few specifics. Well,
• 39:20
  Speaker 1: there's so many things that go into a coal front, right.
• 39:22
  Speaker 1: You know, you're gonna have probably a change in wind direction,
• 39:27
  Speaker 1: You're gonna have a change in temperature, and if it's
• 39:30
  Speaker 1: the right type coal front, the kind that really gets
• 39:32
  Speaker 1: a moving, you're gonna have some type of falling precipitation.
• 39:36
  Speaker 1: That precip will change throughout the season, from rain early
• 39:40
  Speaker 1: in the season to potentially sleep during the rut or
• 39:43
  Speaker 1: or snow in late season, most likely snow. Um. So
• 39:48
  Speaker 1: if you if you look at every coal front, I
• 39:51
  Speaker 1: always say you want to kill white tailed deer. Don't
• 39:53
  Speaker 1: miss any coal fronts. And I'm talking about just ahead
• 39:55
  Speaker 1: of it, during it, and after it. That, in a nutshell,
• 39:59
  Speaker 1: is when the best of the best dear movement happens
• 40:03
  Speaker 1: is just before it, during it, and after it. Not
• 40:06
  Speaker 1: every coal front is created the same. In other words,
• 40:10
  Speaker 1: there are some that barely move the needle, and there
• 40:12
  Speaker 1: are some that move it a bunch. What how the
• 40:16
  Speaker 1: weather changes in and around that coal front. The greater
• 40:19
  Speaker 1: the change with the coal front, generally the more drastic,
• 40:23
  Speaker 1: and the better the dear moment, The less the amount
• 40:27
  Speaker 1: of change, the less extreme influence it will have on
• 40:31
  Speaker 1: the dear moment. Okay, that makes sense. So on that
• 40:36
  Speaker 1: topic of front, it's one of the most common questions
• 40:38
  Speaker 1: that I get them, is okay, what about the timing
• 40:42
  Speaker 1: of the front. So you talked about it's good before
• 40:44
  Speaker 1: the front, it's good during, it's good after. I think
• 40:47
  Speaker 1: people are always trying to figure out more detail about that.
• 40:50
  Speaker 1: So how far ahead of time and then how long
• 40:53
  Speaker 1: afterwards is it one day after the front passes it?
• 40:55
  Speaker 1: Two days, that three days? Can you give us some
• 40:57
  Speaker 1: detail as far as as that? And then also how
• 41:00
  Speaker 1: would you rank that? So if I had to choose
• 41:02
  Speaker 1: between before, during, or after. What's one, two, three? All
• 41:08
  Speaker 1: are a one, that's for sure. All are a one. Um,
• 41:13
  Speaker 1: meaning tops never miss just ahead during or after a
• 41:17
  Speaker 1: cold front, because you never know when the best is
• 41:20
  Speaker 1: gonna be or where you're gonna be sitting. The back
• 41:22
  Speaker 1: to your question of how far ahead of the front,
• 41:26
  Speaker 1: it's generally it's very close to it. In other words, Um,
• 41:31
  Speaker 1: if the front is gonna pass during the night, it's
• 41:33
  Speaker 1: that evening sit before, okay, if and that's just depends
• 41:38
  Speaker 1: on the phase. If it's a phase, that are the
• 41:42
  Speaker 1: time of the year when afternoon movement is generally a
• 41:45
  Speaker 1: little better than morning movement. In other words, it's a
• 41:48
  Speaker 1: feeding time of the year. Take phase one. Then then
• 41:52
  Speaker 1: the front that's going to pass during the night is
• 41:56
  Speaker 1: going to influence the previous feeding time, if that makes sense.
• 42:00
  Speaker 1: So if you're if opening days theft September and there's
• 42:04
  Speaker 1: a front supposed to pass at about ten eleven o'clock
• 42:07
  Speaker 1: that night, the cold fronts coming, but it's not there yet,
• 42:10
  Speaker 1: that evening is gonna be pretty good because they're gonna
• 42:12
  Speaker 1: be feeding in anticipation of that front. If, however, it
• 42:17
  Speaker 1: is opening morning when feeding is not nearly as important.
• 42:22
  Speaker 1: And say, the same time gap is in front of you,
• 42:26
  Speaker 1: in other words, dark as at seven o'clock PM or
• 42:30
  Speaker 1: seven thirty or eight, and the fronts supposed to pass
• 42:33
  Speaker 1: at ten, so say three hours ahead of the front. Well,
• 42:37
  Speaker 1: if the morning movement at that time of the year
• 42:39
  Speaker 1: is about seven am and the front's gonna pass at
• 42:41
  Speaker 1: about ten am, that's not going to be nearly as
• 42:44
  Speaker 1: as big of an influencer of the morning as it
• 42:46
  Speaker 1: would have been in the evening because evening times are
• 42:48
  Speaker 1: better at that time of the year. Does that make sense?
• 42:51
  Speaker 1: It does, Okay, So it's it's all very very detailed.
• 42:57
  Speaker 1: And I said that apps for one, like the app
• 42:59
  Speaker 1: interpret every single one of those factors on a minute
• 43:02
  Speaker 1: by minute basis or second by second like it will
• 43:05
  Speaker 1: spit that algorithm out NonStop for you right exactly where
• 43:08
  Speaker 1: you are. It's interpreting everything I just said. But it
• 43:11
  Speaker 1: does it in real time, as opposed to, like I said,
• 43:14
  Speaker 1: it takes me hours to sit and look at a
• 43:16
  Speaker 1: forecast and look at various apps and come up with
• 43:18
  Speaker 1: the actual prediction. The app does it for you. In fact,
• 43:22
  Speaker 1: I found myself getting a little bit floppy last year
• 43:26
  Speaker 1: because I was so dependent on the app. I mean,
• 43:28
  Speaker 1: I still had all this knowledge in my head, but
• 43:31
  Speaker 1: there were times of the year where I actually forced
• 43:34
  Speaker 1: myself before I looked at the app, to go through
• 43:36
  Speaker 1: and come up with a prediction and go, I think
• 43:38
  Speaker 1: it's gonna say this, and then I'd go back and
• 43:40
  Speaker 1: double check it because you'd ever, you know, it's human nature.
• 43:43
  Speaker 1: You get tired to get run down. You go, I'm
• 43:44
  Speaker 1: just gonna look at the app instead of looking at
• 43:46
  Speaker 1: all these different sites and figure all this stuff out. Um,
• 43:49
  Speaker 1: because it's really a thinking game. Man. If you if
• 43:51
  Speaker 1: you're trying to analyze what time of year in, what
• 43:55
  Speaker 1: all influencers are coming, how they were two or three
• 43:57
  Speaker 1: days ago, how they're about to be. Man, the app
• 44:00
  Speaker 1: so lot easier solutions, but you do it, you just
• 44:02
  Speaker 1: get you know, it's the understanding of it that that
• 44:05
  Speaker 1: makes it sweeter. Yeah, yeah, that that's That's a lot
• 44:08
  Speaker 1: of the fun part putting that puzzle together. But this
• 44:10
  Speaker 1: is this is nice to be able to look at,
• 44:12
  Speaker 1: you know, to quickly confirm things or to dive in further. Um. Now,
• 44:18
  Speaker 1: sometimes came to mind and I don't know if this
• 44:21
  Speaker 1: is something you guys already have baked in or not.
• 44:23
  Speaker 1: But is there any possibility of there being like a
• 44:26
  Speaker 1: feedback mechanism to this? So if I have the deer
• 44:29
  Speaker 1: cast app, today's supposed to be a great day, I'm
• 44:32
  Speaker 1: out there and it doesn't end up being that case,
• 44:35
  Speaker 1: doesn't end it being that way for me? Whatever reason
• 44:38
  Speaker 1: is there any way? Right? But what what what influenced that? Right? Yeah,
• 44:42
  Speaker 1: there's so many things, There's so many outside things. So
• 44:46
  Speaker 1: does it skew what what we feel like? We That's
• 44:50
  Speaker 1: why I think everybody should have their ability to to
• 44:54
  Speaker 1: skew their own handing experiences, not everyone else's, if that
• 44:58
  Speaker 1: makes sense, because what other influencers. You don't know how
• 45:02
  Speaker 1: somebody hunts. He might be sitting there hunting on the
• 45:04
  Speaker 1: wrong window, or or someone might hunt the same stand
• 45:07
  Speaker 1: thirty five days in a row, and and exactly you know,
• 45:14
  Speaker 1: and app saying great, Well, every deer in the area
• 45:18
  Speaker 1: knows where he sits on what window. You know, he's
• 45:20
  Speaker 1: sit in the same place. You know, they know where
• 45:22
  Speaker 1: they're going to catch him. They know what side of
• 45:24
  Speaker 1: the blind to go on to catching that day, because
• 45:26
  Speaker 1: the wind switch, you know, I'm I'm saying that would
• 45:29
  Speaker 1: be I think challenging UM at best. I will tell
• 45:36
  Speaker 1: you that we we tested it across uh the entire
• 45:40
  Speaker 1: Dreary Outdoors team, through a variety of geographies and a
• 45:44
  Speaker 1: variety of different hunting conditions, and it it had rave
• 45:48
  Speaker 1: reviews from everyone. UH. So it was beta tested very
• 45:51
  Speaker 1: thoroughly last fall, and I'm I am very very confident
• 45:56
  Speaker 1: that what the app for Dixon turn of deer movement,
• 46:01
  Speaker 1: what they most likely will be doing, is accurate in
• 46:04
  Speaker 1: terms of how will influenced the deer herd. The thing
• 46:07
  Speaker 1: the app cannot interpret is hunting pressure, pregation pressure, overall population, UM,
• 46:14
  Speaker 1: all those other outside influencers, you know, public ground versus
• 46:18
  Speaker 1: private UH, gun season, you know, the gun season Missouri
• 46:22
  Speaker 1: opens November fifteenth, roughly Iowa doesn't open until till December
• 46:27
  Speaker 1: the seventh. You know, So you have to look at
• 46:29
  Speaker 1: it and kind of use common sense and go, you
• 46:31
  Speaker 1: know what, this app always says great, but in reality
• 46:34
  Speaker 1: I'm kind of seeing good. Well, there might be some
• 46:36
  Speaker 1: other influencers that have that movement suppressed outside of the weather,
• 46:41
  Speaker 1: if that makes sense. Yeah, you need to need to
• 46:43
  Speaker 1: overlay your own circumstances over top of this, because as
• 46:46
  Speaker 1: you said, there's all these other outside factors that can't
• 46:48
  Speaker 1: be accounted for and something like this that that do
• 46:51
  Speaker 1: significantly influence things. You gotta you gotta grade it on
• 46:55
  Speaker 1: the curve if you will. Yeah, so you kind of
• 47:00
  Speaker 1: alluded to this next question. I have a little bit,
• 47:02
  Speaker 1: but I want to kind of black and white it here. Um,
• 47:07
  Speaker 1: the timing of the front. Does the timing of the
• 47:10
  Speaker 1: front in any kind of consistent way impact the intensity
• 47:14
  Speaker 1: of the activity. So if you were to say, would
• 47:17
  Speaker 1: you prefer a front to hit during peak evening activity
• 47:21
  Speaker 1: hours versus overnight versus morning activity versus midday like if
• 47:25
  Speaker 1: if we broke up our day into those four buckets
• 47:27
  Speaker 1: or something like that, and you could pick yes, yes, yes,
• 47:31
  Speaker 1: and yes, depending on the time of the year. In
• 47:33
  Speaker 1: other words, a front in September is not It does
• 47:37
  Speaker 1: not affect the deer the same as it does in
• 47:39
  Speaker 1: the middle part of November, as it does in the
• 47:42
  Speaker 1: middle part of the December, as it does in the
• 47:44
  Speaker 1: middle part of January, because their metabolism is at different
• 47:47
  Speaker 1: speeds during each each of those times, their testosterone is
• 47:52
  Speaker 1: at different levels during each of those times, their interest levels,
• 47:55
  Speaker 1: and their focus is that is on different things during
• 47:59
  Speaker 1: each of those times, So therefore they react differently to
• 48:03
  Speaker 1: the front. They're going to be times of the year
• 48:06
  Speaker 1: where the middle part of the day it's gonna be
• 48:08
  Speaker 1: magical to have a front, whereas other times of the
• 48:11
  Speaker 1: year it's not gonna affect them at all. They won't
• 48:13
  Speaker 1: move until after that front passes, you know. Um, that
• 48:17
  Speaker 1: was kind of my example I gave in the early
• 48:19
  Speaker 1: part of the season, when afternoons or the are the
• 48:21
  Speaker 1: order of the day. Well, if you have a front
• 48:24
  Speaker 1: passing within the normal movement time in the morning versus
• 48:27
  Speaker 1: the evening, there it's just not going to be the
• 48:29
  Speaker 1: same response. The evening response is going to be much
• 48:32
  Speaker 1: better to affront because that's when they typically moved. Couple
• 48:36
  Speaker 1: a rising moon with that, and you've got all the
• 48:38
  Speaker 1: stars lighting up. Pardon, pardon the punt um. You move
• 48:43
  Speaker 1: into mid November, when the rut is the major influencer,
• 48:46
  Speaker 1: weather kind of takes a little bit of a back seat,
• 48:48
  Speaker 1: but it's still a major influencer. So it's that's one
• 48:52
  Speaker 1: of the reasons we did the app because it is
• 48:54
  Speaker 1: so hard to articulate all of this in a podcast
• 48:58
  Speaker 1: and tell you all of this to where someone said,
• 49:01
  Speaker 1: you know, there's there's no one solution because it influences
• 49:06
  Speaker 1: them differently, almost on a day by day basis. It's
• 49:09
  Speaker 1: it's crazy. Um. So that's why that's one of the
• 49:12
  Speaker 1: reasons we did the app, just to help people understand
• 49:14
  Speaker 1: it better. It's a very complex set of I don't
• 49:19
  Speaker 1: want to say rules, but set of responses to stimulus
• 49:23
  Speaker 1: that we've seen. They vary drastically throughout the year. So
• 49:27
  Speaker 1: that's why we put it into an algorithm form so
• 49:29
  Speaker 1: that it might interpret it and help someone understand when
• 49:33
  Speaker 1: they might move the best or when they might move
• 49:35
  Speaker 1: the poorest. Yeah. Yeah, yeah, it definitely. There's so many
• 49:39
  Speaker 1: different layers, and then all the different layers need to
• 49:43
  Speaker 1: be waited a little bit differently. And then also when
• 49:46
  Speaker 1: you think about how the different layers influence each other. Um,
• 49:49
  Speaker 1: that is that you got it. It's tricky, man, I
• 49:54
  Speaker 1: mean it is. It is really really tricky, you know.
• 49:57
  Speaker 1: I mean, it's just it's just different as by phase
• 50:00
  Speaker 1: by phase. Um. You know, you look at that same
• 50:03
  Speaker 1: front that drops the temperature in the early season by
• 50:07
  Speaker 1: ten degrees, Say you were at average temperature for the
• 50:12
  Speaker 1: day and it drops at ten below major influencer. Okay, major,
• 50:16
  Speaker 1: because you seldom get a departure that far from average
• 50:19
  Speaker 1: during the early part of the season. Okay, go to
• 50:23
  Speaker 1: fast forward three months into December, middle part, same moon. Okay,
• 50:29
  Speaker 1: because month a month, the moon is gonna be roughly
• 50:31
  Speaker 1: doing the same thing. It's only twenty eight days apart
• 50:33
  Speaker 1: from full moon and full moon. All right, so you're
• 50:35
  Speaker 1: you're a little bit earlier in the month. Keen degree
• 50:38
  Speaker 1: drop a temperature from average high in December versus versus September.
• 50:44
  Speaker 1: Monstrous difference. You know what I'm saying. It doesn't have
• 50:47
  Speaker 1: nearly the influence that did in September that it did
• 50:50
  Speaker 1: that are nearly the influence in December that it did
• 50:53
  Speaker 1: in September. Now, if in December it's about to drop
• 50:56
  Speaker 1: thirty now we're talking, let's get going that that maybe
• 50:59
  Speaker 1: it may take that much of a drop to have
• 51:02
  Speaker 1: the same influence on the herd that you had a
• 51:04
  Speaker 1: ten degree drop in September. If that makes sense. Yeah, No,
• 51:08
  Speaker 1: that's a it's a very interesting point one I hadn't
• 51:10
  Speaker 1: really thought about before. Um, But it is all relative
• 51:14
  Speaker 1: to the season, and pressure is the same way, you know,
• 51:17
  Speaker 1: like high pressure in in December, what it takes to
• 51:21
  Speaker 1: make them move would explode their heads in September. It is.
• 51:26
  Speaker 1: It is unbelievable, the difference that the type pressure that
• 51:29
  Speaker 1: I look for in December is actually a suppressor in
• 51:32
  Speaker 1: in September, because it's relative to the season in the temperatures.
• 51:35
  Speaker 1: So there are peaks in pressure where it starts to
• 51:39
  Speaker 1: suppress movement. You know when it gets so high and
• 51:42
  Speaker 1: you've probably seen these days where it's like, oh my gosh,
• 51:44
  Speaker 1: we're we're approaching record pressure for this period. Why did
• 51:48
  Speaker 1: the Deermont not move today? You know that this is
• 51:51
  Speaker 1: high pressure. They're supposed to move, not necessarily there. You
• 51:53
  Speaker 1: can go above the peak in almost every one of
• 51:56
  Speaker 1: these weather influencers, and the APP picks those peaks up.
• 51:59
  Speaker 1: You know, how high wind is too high? How big
• 52:02
  Speaker 1: of a departure from normal is too much? How much
• 52:06
  Speaker 1: we'll put them into a state of shock you go into,
• 52:09
  Speaker 1: you go into in the early November when the ruts
• 52:13
  Speaker 1: just getting ready to kick, throw tenants in and snow
• 52:15
  Speaker 1: on them and depart from normal by forty degrees and
• 52:18
  Speaker 1: watch it shut every every year in the herd down.
• 52:21
  Speaker 1: Give me that same front in December and every one
• 52:23
  Speaker 1: of them is coming to a feed field, so it
• 52:27
  Speaker 1: varies how they react to it during the time of
• 52:29
  Speaker 1: the year and what their system is doing inside. Yeah,
• 52:33
  Speaker 1: that's uh, that makes sense. I keep saying that, but
• 52:36
  Speaker 1: it makes sense. Um, And you're you're going right where
• 52:39
  Speaker 1: I was wanting to go, which is pressure. But very
• 52:42
  Speaker 1: quickly before we do that, I have to follow up questions. Um.
• 52:46
  Speaker 1: Number one, you're talking about the late season fronts and
• 52:50
  Speaker 1: something that I've heard people mentioned a lot. I haven't
• 52:52
  Speaker 1: personally seen. It is often here in Michigan or many
• 52:55
  Speaker 1: of the places that I hunt, but I've heard a
• 52:57
  Speaker 1: lot of people talk about that during the late season,
• 52:59
  Speaker 1: not us the big cold front temperature drops, but also
• 53:02
  Speaker 1: actually the opposite, so when the temperature increases to mild conditions,
• 53:06
  Speaker 1: maybe in late December, some people say that's a positive thing. Um,
• 53:10
  Speaker 1: is that something you've seen and what kind of specifics
• 53:13
  Speaker 1: in that kind of way? Then would you need for
• 53:14
  Speaker 1: that to be a positive thing? It absolutely, it absolutely is.
• 53:19
  Speaker 1: And and at that time of the year, and really
• 53:21
  Speaker 1: any time of the year, it comes down to energy conservation.
• 53:24
  Speaker 1: And if you watch a deer, and just the example
• 53:27
  Speaker 1: I gave you, the front part of the rut, major
• 53:29
  Speaker 1: cold front snow, it will shock them and the and
• 53:32
  Speaker 1: nothing in the herd will move. Well, they know what's
• 53:34
  Speaker 1: about to happen, and they're conserving energy by betting and
• 53:38
  Speaker 1: just not doing anything. Whereas if it's more life threatening
• 53:43
  Speaker 1: later in the season, in other words, post rut, where
• 53:46
  Speaker 1: they they've already expended their batteries low and they have
• 53:50
  Speaker 1: to build that energy back up, that same front is
• 53:52
  Speaker 1: gonna put them on the food source and it gets
• 53:55
  Speaker 1: actually accentuated and better once the wind comes back out
• 53:59
  Speaker 1: of the south, the clouds, the clouds clear out, you
• 54:02
  Speaker 1: start having warming trends. Then all of a sudden they
• 54:05
  Speaker 1: start moving better. However, that quickly subdues about the second
• 54:09
  Speaker 1: or third day of the warmth. Okay, and then that's
• 54:13
  Speaker 1: perfect because my next question was going to be about
• 54:16
  Speaker 1: I never did get the specifics on how many days
• 54:18
  Speaker 1: after a front. So you just mentioned after the second
• 54:20
  Speaker 1: or third day after a warm front in late season,
• 54:22
  Speaker 1: But what about the cold front that hits, you know,
• 54:24
  Speaker 1: earlier in the year when we're really looking for those
• 54:26
  Speaker 1: cold fronts, um how many days after that? Last? Find
• 54:30
  Speaker 1: that answer? I find that answer very consistent throughout the season.
• 54:34
  Speaker 1: It's one consistent thing that I've always seen. The first
• 54:37
  Speaker 1: if you could have one day of north, three days
• 54:40
  Speaker 1: of north, ten days of north, and they're all going
• 54:43
  Speaker 1: to be decent movement, and then that first day of
• 54:45
  Speaker 1: south is incredible. It's the first warm day. They almost
• 54:49
  Speaker 1: always move the best that day after front, provided that
• 54:53
  Speaker 1: you've got some high pressure coming in with it, that's
• 54:56
  Speaker 1: generally the day that they move the best. It will
• 54:58
  Speaker 1: gradually decrease days two, three, and four until it stabilizes,
• 55:04
  Speaker 1: and then all of a sudden you're back into your
• 55:05
  Speaker 1: next front. Okay, then let's day two of warmth is
• 55:10
  Speaker 1: generally the worst movement you'll see in and around the front.
• 55:13
  Speaker 1: The first warm day with the first south generally the best.
• 55:17
  Speaker 1: Because I always say the first south. In all reality,
• 55:20
  Speaker 1: that first warm day might be a west, if you
• 55:23
  Speaker 1: know what I'm saying, and then the second warm day
• 55:26
  Speaker 1: might be a south. Well, that second day, even though
• 55:28
  Speaker 1: it's the first south, might not be as good as
• 55:31
  Speaker 1: that first westerly day because it was and truly the
• 55:34
  Speaker 1: first warm up day. So you kind of gotta I
• 55:36
  Speaker 1: always say the first south, but in reality I should
• 55:38
  Speaker 1: miss stand. I should restate that in the first warming day.
• 55:42
  Speaker 1: Sometimes those are westerlies and not necessarily south. But that
• 55:47
  Speaker 1: second day that it's warm, especially if it's two souths
• 55:50
  Speaker 1: in a row, that second day of south is generally
• 55:54
  Speaker 1: very slow and less. It's already into the next front
• 55:57
  Speaker 1: and there's another one approaching. So it depends how are
• 56:00
  Speaker 1: out the fronts are and all that good stuff. That's
• 56:02
  Speaker 1: why the the app looks backwards and forwards as well
• 56:05
  Speaker 1: before it makes a prediction. Yeah. Yeah, So I started tracking,
• 56:10
  Speaker 1: you know all you know Holy Field, the whole story
• 56:13
  Speaker 1: we've been talking about for years of that buck. And
• 56:15
  Speaker 1: I started trying to track, you know, every different daylight
• 56:19
  Speaker 1: sighting ahead of him, and every different daylight trail Cara
• 56:21
  Speaker 1: picture I have of him, and then all these different
• 56:24
  Speaker 1: factors and and trying to correlate something there. So I had, okay,
• 56:28
  Speaker 1: sighting X, date, time of day, date or time of year, um,
• 56:33
  Speaker 1: actual temperature and then I looked at the previous temperature.
• 56:36
  Speaker 1: So was there a temperature difference of ten degrees or
• 56:39
  Speaker 1: more over the last two days? Um? What was the moon?
• 56:41
  Speaker 1: What was the wind direction? Was the change in wind direction?
• 56:43
  Speaker 1: I tried to track all these things like you're talking about,
• 56:46
  Speaker 1: and UM, it does get pretty crazy once you start
• 56:48
  Speaker 1: factoring not just the current but also the changes but
• 56:52
  Speaker 1: to all of these points. It really is in many
• 56:55
  Speaker 1: of these cases, it's it's not what the temperatures today.
• 56:58
  Speaker 1: It's not that the temperature seventy five. It's why it's
• 57:01
  Speaker 1: if it's different, it's the delta. It's the change it
• 57:03
  Speaker 1: seems to flip deer into gear. Right, it's the changes
• 57:07
  Speaker 1: between these different conditions. Absolutely. That's why earlier when you
• 57:11
  Speaker 1: heard me talk about pre sip, I talked about precip
• 57:14
  Speaker 1: rate and then changing presip, I talked about wind speed,
• 57:17
  Speaker 1: changing wind speed. So it is the delta as much
• 57:20
  Speaker 1: as it is the actual condition. That's correct. Yeah, it's okay.
• 57:24
  Speaker 1: Let's move to pressure. Can you give me, like the
• 57:27
  Speaker 1: very top level cliff notes before we get into my
• 57:29
  Speaker 1: specific questions on that. Absolutely sure, you know. I mean,
• 57:34
  Speaker 1: as a general rule, the high the pressure, the better
• 57:36
  Speaker 1: the deer movement. The lower of the pressure, um, the
• 57:39
  Speaker 1: worst the deer movement. Uh. It depends though, how long
• 57:43
  Speaker 1: you've been with high pressure and how long you've been
• 57:46
  Speaker 1: with low pressure, and where it was and where it's going. So. Uh.
• 57:50
  Speaker 1: Pressure is also relative to the season. So high pressure
• 57:53
  Speaker 1: in the early part of the season is not considered
• 57:55
  Speaker 1: high pressure during the latter part of the season, when
• 57:58
  Speaker 1: that cool air really gets ushered in. I like stuff
• 58:01
  Speaker 1: thirty point two to thirty point four in the late season,
• 58:04
  Speaker 1: early season, I'm tickled to death. If it's twenty nine
• 58:07
  Speaker 1: point nine five up to about thirty point one five,
• 58:11
  Speaker 1: I consider that high pressure during the early part of
• 58:13
  Speaker 1: the season. In fact, during the early point of the season,
• 58:15
  Speaker 1: if it gets too high, it'll shut them down. Consequently,
• 58:18
  Speaker 1: last year, we had a couple of days at bordered
• 58:21
  Speaker 1: record pressure at thirty point seven point eight, and they
• 58:24
  Speaker 1: did they didn't move well at all. They almost get
• 58:25
  Speaker 1: a little lethargic on those extremely high pressure days where
• 58:29
  Speaker 1: they move real slow and don't move move well at all.
• 58:32
  Speaker 1: So there are sweet spots to pressure, just like there
• 58:34
  Speaker 1: are sweet spots to temperature or anything else. Well, you
• 58:38
  Speaker 1: just covered several of my specific questions. So you really
• 58:40
  Speaker 1: knocked that one of the park mark, because I've had
• 58:43
  Speaker 1: a lot of people ask, you know, as you just said,
• 58:45
  Speaker 1: how bare metric pressure is relative to time of year,
• 58:48
  Speaker 1: and a lot of people have been curious, Okay, what's
• 58:50
  Speaker 1: what's a high pressure day in September versus a high
• 58:52
  Speaker 1: pressure day November versus December. What you just said, so
• 58:55
  Speaker 1: that's super helpful. Um, now what about this? Someone had
• 59:00
  Speaker 1: asked if you would rather see a low pressure that's
• 59:04
  Speaker 1: rising or a steady high pressure. So his example was
• 59:09
  Speaker 1: which scenario would be better in your mind? Would it
• 59:11
  Speaker 1: be like a twenty five but rising, So is that
• 59:15
  Speaker 1: change what's most important? Or would you just like to
• 59:17
  Speaker 1: have a higher thirty point two but steady for several days?
• 59:21
  Speaker 1: And of course I know this is different depending on
• 59:23
  Speaker 1: the time of year, but it is as I would answer,
• 59:27
  Speaker 1: yes and yes, because at certain times of the year,
• 59:30
  Speaker 1: the bouncing of pressure, especially during an afternoon sit I
• 59:34
  Speaker 1: noticed because it accompanies as the fronts coming in. When
• 59:38
  Speaker 1: the pressure bounces during a normal evening sit, uh, they
• 59:42
  Speaker 1: generally moved quite well. In other words, it bounces from
• 59:46
  Speaker 1: low and all of a sudden starts to rise while
• 59:47
  Speaker 1: you're sitting there. It might be twenty nine point four
• 59:50
  Speaker 1: and it bounces and starts heading back up the grid
• 59:54
  Speaker 1: while you're sitting there, say four thirty five o'clock. Bam.
• 59:58
  Speaker 1: That's generally a trigger that makes them move. When it's
• 1:00:01
  Speaker 1: during a feeding pattern or feeding time of the year. Overall, though,
• 1:00:06
  Speaker 1: I would take take the higher pressure versus that low pressure.
• 1:00:10
  Speaker 1: It's tricky timing the low pressure. That's one thing I've found.
• 1:00:13
  Speaker 1: They're not nearly as consistent on that low pressure side
• 1:00:16
  Speaker 1: of things as they are with the high They generally
• 1:00:18
  Speaker 1: move quite well on high pressures, regardless of situations. Do
• 1:00:22
  Speaker 1: you have any theory, I mean, this is I think
• 1:00:25
  Speaker 1: this is on guesswork here, but do you have any
• 1:00:26
  Speaker 1: theory as to why that might why pressure influences deer
• 1:00:30
  Speaker 1: movements so much? Like what the what the physiological impact
• 1:00:34
  Speaker 1: is that's changing their behavior? You know, I'd say it.
• 1:00:39
  Speaker 1: I don't know that it's necessarily the high pressure as
• 1:00:42
  Speaker 1: much as the front that just passed that ushered that
• 1:00:44
  Speaker 1: high pressure in if that makes sense. So, I don't
• 1:00:47
  Speaker 1: know that it's the pressure itself as much as the
• 1:00:50
  Speaker 1: condition that just happened. In other words, sometimes during the
• 1:00:53
  Speaker 1: heat of the worst affront, they don't move quite as well,
• 1:00:57
  Speaker 1: and then once the threat of the front passes, they
• 1:00:59
  Speaker 1: all get out and start moving again, you know. So
• 1:01:02
  Speaker 1: sometimes I think it's that more so than it is
• 1:01:05
  Speaker 1: the actual pressure gradient itself, if that makes sense. Yeah, yeah,
• 1:01:09
  Speaker 1: I follow you there. It's the very much of pressure
• 1:01:11
  Speaker 1: is simply a symptom of this thing that's happening. It's
• 1:01:16
  Speaker 1: an indicator we can look at, but it's just indicating
• 1:01:18
  Speaker 1: that this front's moving through and all the things that
• 1:01:20
  Speaker 1: come with that front are what's pushing dear to do
• 1:01:22
  Speaker 1: what they do exactly. And you know, if you I
• 1:01:27
  Speaker 1: always like I used to sell on the road, and
• 1:01:30
  Speaker 1: I don't know if I told this anecdote back in
• 1:01:32
  Speaker 1: fifteen or not, but I could just about tell you
• 1:01:35
  Speaker 1: I sold Massio for ten years on the road and
• 1:01:38
  Speaker 1: from eight nine and I could just about tell you
• 1:01:42
  Speaker 1: whether I was going to write in order that day
• 1:01:44
  Speaker 1: or not based on how the weather was, the mood
• 1:01:46
  Speaker 1: people are in. Um. You know, they say, you know
• 1:01:49
  Speaker 1: the greatest rainfalls where you sign the highest suicide right
• 1:01:52
  Speaker 1: Rate's that type of thing. You go, you go to
• 1:01:55
  Speaker 1: a place where it's sunny and a high pressure all
• 1:01:57
  Speaker 1: the time. People are happy and they feel good good
• 1:02:00
  Speaker 1: and and and when you live in the Midwest like
• 1:02:02
  Speaker 1: we do, you get a lot of different fronts coming
• 1:02:05
  Speaker 1: through and that low pressure you kind of feel a
• 1:02:07
  Speaker 1: little groggy, little drag. You don't feel like getting out.
• 1:02:09
  Speaker 1: And that's high pressure rushers in man smiling everybody's face.
• 1:02:12
  Speaker 1: They're out there, act active and um, it's just I
• 1:02:16
  Speaker 1: think you can feel the same thing that they feel
• 1:02:18
  Speaker 1: inside your own body and your moods and how you
• 1:02:21
  Speaker 1: feel and how you react to the weather. Yeah. So
• 1:02:25
  Speaker 1: so what about this, How do you see pressure impacting
• 1:02:29
  Speaker 1: wind or thermals or anything like that, and how does
• 1:02:33
  Speaker 1: that then impact your decisions as far as predicting movement
• 1:02:36
  Speaker 1: or predicting the quality of hunts if if at all well, Well,
• 1:02:39
  Speaker 1: high high pressure makes everybody a better hunter, because the
• 1:02:42
  Speaker 1: thermals are generally going up. Um, it makes everyone better,
• 1:02:46
  Speaker 1: especially in the morning sits high pressure makes your stand
• 1:02:49
  Speaker 1: choice better and you can get away with murder on
• 1:02:54
  Speaker 1: those days. Those are the days that I go to
• 1:02:56
  Speaker 1: that stand. You sit there, and you look and you go,
• 1:02:58
  Speaker 1: I don't want my wind blowing any of these directions,
• 1:03:01
  Speaker 1: but I have to sit, But I have to sit here.
• 1:03:04
  Speaker 1: Those are the ones I reserve for the extreme high
• 1:03:07
  Speaker 1: pressure mornings. Man. I will sneak in there, getting that
• 1:03:11
  Speaker 1: stand and and hunt with the security of the fact
• 1:03:14
  Speaker 1: that while that deer is probably still gonna catch me
• 1:03:17
  Speaker 1: on the down wind side, he's not going to react
• 1:03:19
  Speaker 1: in nearly as much of a negative way as he
• 1:03:22
  Speaker 1: would have if the pressure was low. Man, it makes
• 1:03:25
  Speaker 1: sense crush or better, it just it just makes you
• 1:03:28
  Speaker 1: a better hunter when that pressure is rising and and high. Yeah,
• 1:03:33
  Speaker 1: that's uh, that's a great thing to keep in mind.
• 1:03:35
  Speaker 1: That again, something I hadn't thought about as much either.
• 1:03:38
  Speaker 1: But if you have to take a swing for the fences,
• 1:03:40
  Speaker 1: if you have to take that big risk, you might
• 1:03:42
  Speaker 1: as well time it at the right not only good
• 1:03:44
  Speaker 1: conditions for deer movement, but also good conditions for lower
• 1:03:47
  Speaker 1: risk for you. Um all about risk management. Man, on
• 1:03:52
  Speaker 1: low pressure, don't go to your best spots unless you've
• 1:03:55
  Speaker 1: got a safe wind direction. Don't do it. Yeah, is
• 1:03:59
  Speaker 1: there anything on this front? I feel like, I mean,
• 1:04:01
  Speaker 1: you've been obviously studying this and following this and talking
• 1:04:04
  Speaker 1: about this for a long time. But since we last
• 1:04:06
  Speaker 1: talked in fifteen, has your thoughts on barre ment of
• 1:04:09
  Speaker 1: pressure and the impacts or theories about any of this stuff.
• 1:04:12
  Speaker 1: Has that changed at all in the last three and
• 1:04:15
  Speaker 1: a half years or so. The thing that has changed
• 1:04:18
  Speaker 1: is that I've seen it work in an adverse effect
• 1:04:20
  Speaker 1: because we've had so much record pressure over the last
• 1:04:23
  Speaker 1: few falls. And I've noticed it consistently that on those
• 1:04:26
  Speaker 1: days where we are nearing record pressure for the the period,
• 1:04:32
  Speaker 1: it is as much of a suppressors as it is
• 1:04:34
  Speaker 1: an enhancer. So it has changed in that, and we
• 1:04:37
  Speaker 1: we wrapped all of that into the into the app. Okay,
• 1:04:40
  Speaker 1: interesting stuff. Now here's something I also I've also witnessed
• 1:04:45
  Speaker 1: that bounced in the afternoon when when you're sitting there
• 1:04:48
  Speaker 1: during a normal during a phase when afternoon movement is
• 1:04:51
  Speaker 1: generally the best, and you catch about as severe bounds,
• 1:04:55
  Speaker 1: especially the lord is with the higher it's going to
• 1:04:59
  Speaker 1: when that bounce occurs when they're supposed to be moving
• 1:05:01
  Speaker 1: anyway during a normal movement time last two hours if
• 1:05:04
  Speaker 1: you will, or you know sunset minus thirty minutes or
• 1:05:07
  Speaker 1: an hour, that is also a major influencer when you
• 1:05:10
  Speaker 1: catch it, it's a good one that's wrapped into the
• 1:05:12
  Speaker 1: app as well. I so, so I understand here you're saying,
• 1:05:17
  Speaker 1: like an early season when evenings they're supposed to be
• 1:05:20
  Speaker 1: great anyways, if you have that change happening right during
• 1:05:24
  Speaker 1: the set, that's especially good. Well even in the later
• 1:05:28
  Speaker 1: seasons too. I'm just saying when it's a thing where
• 1:05:31
  Speaker 1: afternoon movement is really good, like the party's over feedback,
• 1:05:35
  Speaker 1: green revisited, greener pastures, all of those where afternoons are optimum.
• 1:05:40
  Speaker 1: Then when that sucker bounces during those afternoon phases killer
• 1:05:46
  Speaker 1: interesting And I'm assuming it's only the bounce up right,
• 1:05:48
  Speaker 1: A bounce A change down is going to be a negative,
• 1:05:52
  Speaker 1: is that correct? Generally a negative? Generally negative. However, it
• 1:05:57
  Speaker 1: can be a positives. If it's been so extreme eamly
• 1:06:00
  Speaker 1: high that they didn't move the day before, then they're
• 1:06:02
  Speaker 1: probably about to when it when it goes back into
• 1:06:05
  Speaker 1: a level that's more of a sweet spot for them
• 1:06:07
  Speaker 1: the next day. I have noticed that as well, and
• 1:06:09
  Speaker 1: generally the other thing that I think they dislike about
• 1:06:13
  Speaker 1: that really really high pressure. What's happening on those days?
• 1:06:16
  Speaker 1: Almost no windspeed on those days, almost none. It'll be
• 1:06:20
  Speaker 1: like three or four mile an hour or are less
• 1:06:23
  Speaker 1: the whole day, and they just I don't know why,
• 1:06:26
  Speaker 1: they get whipped out with low wind speeds. Then all
• 1:06:28
  Speaker 1: of a sudden next day it drops down a little bit,
• 1:06:30
  Speaker 1: windspeed kicks up. Boom every day in the herds on
• 1:06:32
  Speaker 1: their feet again. It's it's it's crazy to watch them
• 1:06:35
  Speaker 1: on it. They're fascinating creatures when you watch them on
• 1:06:38
  Speaker 1: a day in and day out basis literally fascinating. Okay,
• 1:06:42
  Speaker 1: let's take one last quick break to thank our partners
• 1:06:45
  Speaker 1: at White Tail Properties for the support of this podcast
• 1:06:48
  Speaker 1: and continuing our land Beat video recommendations series. As I
• 1:06:54
  Speaker 1: mentioned the past, White Tailed Properties got this great YouTube
• 1:06:56
  Speaker 1: series going on right now called land Beat. I want
• 1:06:59
  Speaker 1: to give you zip on their latest version of that.
• 1:07:02
  Speaker 1: They've got another one focused on fall food plots and
• 1:07:05
  Speaker 1: Tom James really interesting and great resource when it comes
• 1:07:09
  Speaker 1: to habitat management. And this one, Tom James talks about
• 1:07:12
  Speaker 1: fall food plots and what his favorite seed combinations are
• 1:07:16
  Speaker 1: for that kind of annual fall hunting food plot, and
• 1:07:19
  Speaker 1: he talks about layering different types of forge in there.
• 1:07:22
  Speaker 1: So you've got attraction from the early season all the
• 1:07:24
  Speaker 1: way through the late So check this one out. It's
• 1:07:26
  Speaker 1: quick video. It's called Fall Food Plots Slash Seed Combinations
• 1:07:30
  Speaker 1: for Incredible Attractiveness. Came out not too long ago, so
• 1:07:34
  Speaker 1: check that out on the White Tailed Properties YouTube channel. Yeah,
• 1:07:38
  Speaker 1: so let's just go right there then, since you brought
• 1:07:41
  Speaker 1: it up, can you give us the cliff notes on
• 1:07:43
  Speaker 1: on wind speed and direction. I guess how you think
• 1:07:46
  Speaker 1: that influences things. And then I do have a couple
• 1:07:48
  Speaker 1: of follow ups on that already. Well, I mean again
• 1:07:52
  Speaker 1: it's the same answer to keep giving it various per phase.
• 1:07:56
  Speaker 1: But as a general rule, when the winds out of
• 1:07:58
  Speaker 1: the north, they they've general are gonna move quite well.
• 1:08:01
  Speaker 1: And then that first day out of the south, I like,
• 1:08:04
  Speaker 1: I think there are definite wind speed sweet spots. Though
• 1:08:09
  Speaker 1: when that wind is below about seven or eight mile
• 1:08:12
  Speaker 1: an hour, regardless of direction, they move less than if
• 1:08:16
  Speaker 1: it is between about eight and fifteen. Eight to fifteen
• 1:08:20
  Speaker 1: or eight to eighteen. Somewhere in that range to me
• 1:08:23
  Speaker 1: is the wind sweet spot. As you get to twenty
• 1:08:26
  Speaker 1: and then above that a little bit it starts to
• 1:08:29
  Speaker 1: suppress it just a little bit, or it may not
• 1:08:31
  Speaker 1: suppress it, but it certainly makes them more nervous. There
• 1:08:34
  Speaker 1: is a sweet spot for wind in terms of overall
• 1:08:36
  Speaker 1: movement and in terms of overall relaxation of the animal.
• 1:08:40
  Speaker 1: There is something about a twelve to fourteen mile in
• 1:08:43
  Speaker 1: our wind where every deer is relaxed. They got their
• 1:08:45
  Speaker 1: head down feeding and they're not sitting there wigged out.
• 1:08:47
  Speaker 1: It's it's crazy. It's almost like turning a sound machine
• 1:08:51
  Speaker 1: on for a baby at all, sleep like like a baby.
• 1:08:53
  Speaker 1: With those deer will come out and see feed like
• 1:08:55
  Speaker 1: they're supposed to. They're just not nearly as nervous in
• 1:08:58
  Speaker 1: a mid range wind as they are in a high
• 1:09:01
  Speaker 1: wind or a low wind some of the worst days
• 1:09:03
  Speaker 1: or low wind days, because they hear everything. You know,
• 1:09:06
  Speaker 1: no wind, look out every dear and the plot is
• 1:09:08
  Speaker 1: going to have her head up all night long. It's
• 1:09:10
  Speaker 1: it's amazing. So that brings me to my next question
• 1:09:14
  Speaker 1: then on on wind speed. When you have those no
• 1:09:16
  Speaker 1: wind days are very very light wind days, can you
• 1:09:19
  Speaker 1: talk about the impacts that has not just on dear movement,
• 1:09:23
  Speaker 1: but then also on your scent. Can you elaborate a
• 1:09:26
  Speaker 1: little bit on what happens and what how that might
• 1:09:29
  Speaker 1: influence a hunt. Negatively, it's if you're in a high
• 1:09:33
  Speaker 1: ridge and it's a morning and it's high pressure, that
• 1:09:36
  Speaker 1: helps you. But where it really hurts you if there's
• 1:09:38
  Speaker 1: no wind in your lowan topography of an afternoon sit,
• 1:09:41
  Speaker 1: you've got some things working against you there. Number one,
• 1:09:45
  Speaker 1: when you first get to your spot, if you're sitting
• 1:09:47
  Speaker 1: there three the last three hours of daylight, say, your
• 1:09:49
  Speaker 1: pressure is gonna be rising. You don't have enough wind
• 1:09:52
  Speaker 1: speed to take your scent to a defined spot, so
• 1:09:55
  Speaker 1: it's gonna be variable, especially if you're low end topography,
• 1:09:58
  Speaker 1: so you're literally scenting an every direction that you can.
• 1:10:01
  Speaker 1: Then on those high pressure days with low wind, when
• 1:10:05
  Speaker 1: that thermal sets in, that's one of your your biggest
• 1:10:08
  Speaker 1: thermal days because it goes from a very warm trend boom.
• 1:10:12
  Speaker 1: Those thermals hit and take your scent and push it
• 1:10:14
  Speaker 1: straight to the ground, and it'll be doing it almost
• 1:10:16
  Speaker 1: three degree radius around your tree. It's why we have
• 1:10:20
  Speaker 1: been so successful on those days. It's why you see
• 1:10:24
  Speaker 1: us hunting out of blinds when the wind is not blowing.
• 1:10:26
  Speaker 1: So often you see us not a blind a lot.
• 1:10:28
  Speaker 1: But on those days, I'm generally low in topography and
• 1:10:31
  Speaker 1: I'm somewhere in a scent proof blind and every window
• 1:10:33
  Speaker 1: is shut, even if they're fogging up. I have to
• 1:10:36
  Speaker 1: keep my scent contained inside that that blind, and it
• 1:10:39
  Speaker 1: it makes a huge difference to your over overall success.
• 1:10:42
  Speaker 1: I've been blown and boogered and spooked and seen and
• 1:10:45
  Speaker 1: heard by so many deer on low wind days. It's
• 1:10:48
  Speaker 1: it's very tough to get one killed. With low winds.
• 1:10:51
  Speaker 1: So what about if we if we're in a scenario
• 1:10:53
  Speaker 1: we don't have a good black splind that can kind
• 1:10:55
  Speaker 1: of seal in things like that. Um, what would be
• 1:10:58
  Speaker 1: like the safest bet ground ground? Get it down as
• 1:11:03
  Speaker 1: close to the ground as you can get inside of
• 1:11:04
  Speaker 1: a ground blind. You can always get that scenario set
• 1:11:08
  Speaker 1: up for yourself. Get low and get in that blind
• 1:11:13
  Speaker 1: and sit there and don't freaking move because they're gonna
• 1:11:15
  Speaker 1: catch you. What's the threshold there? What's like where do
• 1:11:19
  Speaker 1: you draw the line as too dangerous? Low? Seven and blow?
• 1:11:23
  Speaker 1: I hate it. Predicted seven and blow is really a booger,
• 1:11:28
  Speaker 1: especially if you're five and below almost it's almost impossible
• 1:11:33
  Speaker 1: to kill them those days. Plus they're going to react
• 1:11:35
  Speaker 1: to the sound of your bow. And I'm talking archery
• 1:11:37
  Speaker 1: down I mean guns a different scenario obviously, But if
• 1:11:39
  Speaker 1: you're talking with a bow and you're trying to kill
• 1:11:41
  Speaker 1: a deer, that's when you do it. Pat yourself on
• 1:11:45
  Speaker 1: the back because it's hard to do. Now, I've got
• 1:11:49
  Speaker 1: a scenario I want to lay out for you related
• 1:11:51
  Speaker 1: to this kind of but the opposite. Um, And I'm
• 1:11:54
  Speaker 1: curious to hear if you think I made the right
• 1:11:55
  Speaker 1: decision of the wrong decision, because I was put into
• 1:11:59
  Speaker 1: a situation where I to think through all these things
• 1:12:00
  Speaker 1: we're talking about. I was looking at all these different
• 1:12:02
  Speaker 1: factors to try to determine the first day to go
• 1:12:05
  Speaker 1: hunt holy Field last year, and I wanted to wait
• 1:12:08
  Speaker 1: and strike for the first time with the best possible situation.
• 1:12:12
  Speaker 1: Um because he's very impected by pressure, I thought, I'm
• 1:12:15
  Speaker 1: just gonna have a handful of opportunities, probably to get
• 1:12:17
  Speaker 1: a stab at him. So coming to the season, I
• 1:12:21
  Speaker 1: want to take I take what I said for a
• 1:12:23
  Speaker 1: second back. I did hunt opening day, but then after
• 1:12:25
  Speaker 1: opening Day I said, Okay, I'm not going to go
• 1:12:26
  Speaker 1: back in until all the stars aligned. One of the
• 1:12:29
  Speaker 1: things I was using was the fact that I had
• 1:12:31
  Speaker 1: historical encounters with him the past two years. One year
• 1:12:36
  Speaker 1: was on the twenty four one years on and so
• 1:12:39
  Speaker 1: I thought, Okay, in two thousand seventeen, I'm gonna wait
• 1:12:41
  Speaker 1: till that time frame because that's when he starts becoming
• 1:12:44
  Speaker 1: daylight active. Based off these two years of histories, I thought,
• 1:12:46
  Speaker 1: somewhere around give or take is what I'm gonna start hunting.
• 1:12:51
  Speaker 1: So I had that in the back of my mind
• 1:12:52
  Speaker 1: and then I thought, okay, I want that time frame,
• 1:12:55
  Speaker 1: assuming good conditions are present. So we get to like
• 1:12:59
  Speaker 1: the twenty one October, and as you probably remember, there's
• 1:13:04
  Speaker 1: a big cold front rolling through, and I thought, oh
• 1:13:07
  Speaker 1: my gosh, the deer hunting gods have shined on me.
• 1:13:09
  Speaker 1: This is perfect. His historical patterns line up with like
• 1:13:12
  Speaker 1: the first really great cold front of October. This is
• 1:13:16
  Speaker 1: gonna be dying to win. So I said, all right,
• 1:13:18
  Speaker 1: I'm hunting. It was gonna be like fifteen degrees cooler
• 1:13:21
  Speaker 1: than the day before. Um, I had a right wind
• 1:13:24
  Speaker 1: direction to hunt, an area where I thought he'd be,
• 1:13:27
  Speaker 1: So I kind of had set in my mind, I'm
• 1:13:29
  Speaker 1: gonna do it. That's the day. I'm gonna go in
• 1:13:30
  Speaker 1: that night. But when I got to that day, now,
• 1:13:35
  Speaker 1: all of a sudden, it was really windy. It was
• 1:13:37
  Speaker 1: much windier than what they've been showing over the past
• 1:13:39
  Speaker 1: couple of days. And I found myself it was like noon,
• 1:13:42
  Speaker 1: and I'm sitting here going back and forth in my head.
• 1:13:45
  Speaker 1: Do I hunt because the cold front past, the winds,
• 1:13:49
  Speaker 1: the right direction, I need the time of years, right,
• 1:13:52
  Speaker 1: you know, we've got the pre up starting to ramp up.
• 1:13:54
  Speaker 1: History tells me that he starts moving right around. Now
• 1:13:57
  Speaker 1: I can be right in that area, all those things
• 1:13:59
  Speaker 1: that go, go, go, go go. But then I see
• 1:14:02
  Speaker 1: the wind speeds at like twenty miles an hour one hour,
• 1:14:07
  Speaker 1: And is that enough of a negative impact to say, no,
• 1:14:10
  Speaker 1: negate everything else, because that's that's gonna hurt things. And
• 1:14:14
  Speaker 1: again I'm thinking, I really need this first set to
• 1:14:17
  Speaker 1: be great, is what I was thinking in my head. Well,
• 1:14:21
  Speaker 1: I would have unted him out, you would, I would? Yes? Okay,
• 1:14:27
  Speaker 1: Well then I feel less bad because I did go
• 1:14:29
  Speaker 1: hunt him, but I well, I went and hunted. I
• 1:14:34
  Speaker 1: got into the tree and the winds were worse than
• 1:14:36
  Speaker 1: even the weather had said and probably being like something
• 1:14:41
  Speaker 1: like that. And then I felt like it was swirling
• 1:14:43
  Speaker 1: a little bit. It seemed like it was such a
• 1:14:45
  Speaker 1: strong wind. It seemed to be blowing off direction and
• 1:14:48
  Speaker 1: pitching in towards the bedding. So I was in the
• 1:14:50
  Speaker 1: tree for ten fifteen minutes and then I said this,
• 1:14:53
  Speaker 1: I'm screwing things up, and I actually climbed out and
• 1:14:55
  Speaker 1: left and just didn't want to screw up anymore. So
• 1:14:59
  Speaker 1: so you're saying, though my still gut reaction was okay,
• 1:15:02
  Speaker 1: it wasn't stupid to go in there, so was your
• 1:15:05
  Speaker 1: secondary reaction. I would have left the moment it kicked backwards,
• 1:15:08
  Speaker 1: I would have I would have ran. Yeah, I basically did. Yeah,
• 1:15:12
  Speaker 1: I would have you know the mote, the moment, and
• 1:15:14
  Speaker 1: you know, if you feel like you know where deer's
• 1:15:15
  Speaker 1: betting areas that and you go in and what you're
• 1:15:18
  Speaker 1: dealing with there in that part of the season, the
• 1:15:22
  Speaker 1: the heavy foliage acts like topography. So in other words,
• 1:15:26
  Speaker 1: the wind can actually kick over the tree tops and
• 1:15:28
  Speaker 1: then turn around and kick back because it's it's kicking
• 1:15:30
  Speaker 1: off of a blocker, which is the full You know,
• 1:15:33
  Speaker 1: if that would have been November, leaves are gone, the
• 1:15:37
  Speaker 1: wind might have been consistent for you in that same spot.
• 1:15:39
  Speaker 1: You know. That's why I wind scout a lot of places.
• 1:15:43
  Speaker 1: Are I certainly when those things happened to me under
• 1:15:46
  Speaker 1: those conditions, and I write that down somewhere in my mind,
• 1:15:48
  Speaker 1: are on a piece of paper. I can't hunt here
• 1:15:51
  Speaker 1: on this speed and ever again during this time brand
• 1:15:54
  Speaker 1: you know, so you'll you'll learn that. And you only
• 1:15:57
  Speaker 1: did it because said earlier in the podcast, you learned
• 1:15:59
  Speaker 1: by I can your mistakes. You gotta go in there
• 1:16:01
  Speaker 1: and get backed around a little bit and go, WHOA,
• 1:16:03
  Speaker 1: that's bad. The wind kick back, and more often than not,
• 1:16:07
  Speaker 1: I think people most people would have just went there
• 1:16:10
  Speaker 1: and sat to hold hold old damn. He said, Hell
• 1:16:13
  Speaker 1: with it, I'm here. You know that's bad. Don't miss
• 1:16:16
  Speaker 1: mistakes like don't let a dear know that you're hunting them.
• 1:16:20
  Speaker 1: And if you know that your wind is blowing into
• 1:16:22
  Speaker 1: a betting area, you're making a dumb decision. Yeah. So
• 1:16:26
  Speaker 1: so on that front, I sometimes have found earlier. I'm
• 1:16:30
  Speaker 1: I'm making better decisions now, as we just talked about.
• 1:16:33
  Speaker 1: But one of my excuses used to be if I'm
• 1:16:35
  Speaker 1: in a tree stand and then like the wind seems
• 1:16:38
  Speaker 1: to switch like that, or I noticed that the wind
• 1:16:40
  Speaker 1: has switched and it seems to be blowing into a
• 1:16:41
  Speaker 1: betting area, and I'm like, oh ship, it's blowing there.
• 1:16:44
  Speaker 1: It's screwing things up. My I used to say, well,
• 1:16:48
  Speaker 1: you've already done the damage. It's already been blown there
• 1:16:50
  Speaker 1: for a few minutes. It's it's any deer that was
• 1:16:52
  Speaker 1: there is gone or smart to what's going on now.
• 1:16:55
  Speaker 1: You might as well just set it out because maybe
• 1:16:57
  Speaker 1: something will come from one of these other directions. Um,
• 1:17:00
  Speaker 1: that's what I used to do. Is that? Is it
• 1:17:02
  Speaker 1: good that I'm not doing that anymore? Or is there
• 1:17:05
  Speaker 1: something to be said about? Yeah? There, it's like a
• 1:17:07
  Speaker 1: sunk cost. You might as well see what happens on
• 1:17:09
  Speaker 1: the other side. Uh, compends how much time you have,
• 1:17:13
  Speaker 1: you know. Um, for me, I'm down and I'm out,
• 1:17:16
  Speaker 1: and I'm somewhere where the winds safe or UM in
• 1:17:18
  Speaker 1: my truck up on a doing point, just to watch
• 1:17:20
  Speaker 1: what happens. You know. UM, I don't like putting my
• 1:17:24
  Speaker 1: wind over somewhere that I do not want it to be,
• 1:17:27
  Speaker 1: and I avoid it at all costs and eliminate it
• 1:17:31
  Speaker 1: any chance I get. I do not like that. It's safe.
• 1:17:34
  Speaker 1: Wind directions cannot be overstated. Having one for every single
• 1:17:40
  Speaker 1: wind condition, speed, and time of year is very very important. Um.
• 1:17:47
  Speaker 1: That's why I think, no matter how many spots you got,
• 1:17:49
  Speaker 1: you still don't have enough. Go find a good condition
• 1:17:52
  Speaker 1: that you can hunt in where you have a safe
• 1:17:54
  Speaker 1: wind direction, because at the end of the day, if
• 1:17:56
  Speaker 1: you smell you if you're bow hunting, nine times out
• 1:17:59
  Speaker 1: of ten, it's over. Yeah, gears and and and you
• 1:18:06
  Speaker 1: don't see it happened like that's what's wrong with it? Like,
• 1:18:08
  Speaker 1: that's how why it's hard to learn. You don't see
• 1:18:11
  Speaker 1: the deer more often than on if you're in thick cover,
• 1:18:15
  Speaker 1: that's five yards down wind reacting to your you're but
• 1:18:21
  Speaker 1: sitting there hunting on the wrong wind, you don't see it.
• 1:18:23
  Speaker 1: So therefore I didn't hear anything. Bro. Yeah, well, five
• 1:18:28
  Speaker 1: different gear down wind anywhere from three D eight hundred
• 1:18:33
  Speaker 1: all smells you, and all took a change in direction,
• 1:18:37
  Speaker 1: and all will not forget your position like they are
• 1:18:40
  Speaker 1: masters at remembering um being scared. In other words, human
• 1:18:46
  Speaker 1: scent scares them. When you scared deer, he never forgets
• 1:18:49
  Speaker 1: it in imprints in his mind, and he will not
• 1:18:51
  Speaker 1: forgot where he got scared, how he got scared, and
• 1:18:54
  Speaker 1: he will avoid that situation in the future. You have
• 1:18:57
  Speaker 1: to make sure that you're not scaring that deer and
• 1:19:00
  Speaker 1: making him afraid. Think of the thing. Think of some
• 1:19:02
  Speaker 1: of the deepest memories in your mind. When you were
• 1:19:04
  Speaker 1: a kid, If something scared to live and crap out
• 1:19:07
  Speaker 1: of you, you never forget it the rest of your life.
• 1:19:09
  Speaker 1: Dear the same way. Yeah, you know, when I was
• 1:19:12
  Speaker 1: two or three, I put my hand on a burning
• 1:19:14
  Speaker 1: grill and I've never done it since and you won't
• 1:19:17
  Speaker 1: ever again, or just anything, any little thing that scares
• 1:19:21
  Speaker 1: you when you get that adrenaline bump where you're scared,
• 1:19:24
  Speaker 1: truly scared, you never forget that, and dear, don't forget
• 1:19:28
  Speaker 1: it either. That's why they get so hard to kill
• 1:19:32
  Speaker 1: in pressured areas. So two things that I've wondered about
• 1:19:37
  Speaker 1: often on on this topic that you just mentioned there,
• 1:19:40
  Speaker 1: and you you kind of throw some numbers, but I
• 1:19:42
  Speaker 1: want to pinion down on a couple of things here.
• 1:19:44
  Speaker 1: Um wind distance so something. So oftentimes I've wondered, Okay,
• 1:19:49
  Speaker 1: how far away do I need to be worried if
• 1:19:51
  Speaker 1: I'm crossing a field and there's a betting area way
• 1:19:54
  Speaker 1: down wind, but it's it's two yards or seven hundred yards,
• 1:19:58
  Speaker 1: or what's the distance that you think it's okay a
• 1:20:00
  Speaker 1: to be from a deer bedding area or where you
• 1:20:03
  Speaker 1: where every maybe more if it's the opposites at night
• 1:20:05
  Speaker 1: in the feeding whatever might be. What's the distance that
• 1:20:08
  Speaker 1: you think we need to be concerned about the threshold there?
• 1:20:10
  Speaker 1: And then are there any kind of clean the boy
• 1:20:17
  Speaker 1: are you? You know? So I think that would change
• 1:20:20
  Speaker 1: based on how fanatic you are about scent control. If
• 1:20:24
  Speaker 1: you are freaking over the top with washing and clean
• 1:20:30
  Speaker 1: um uncented soap, the best you can find, uh titanium
• 1:20:35
  Speaker 1: added ozone your clothes on a daily basis, clean your
• 1:20:39
  Speaker 1: body two and three times a day, ozone every single thing,
• 1:20:43
  Speaker 1: every piece of equipment you have. Then you could probably
• 1:20:47
  Speaker 1: get by it maybe two or three yards, and they
• 1:20:49
  Speaker 1: may not detect you if you do it quickly. I
• 1:20:51
  Speaker 1: mean you can't stand there and let it permeate the area. However,
• 1:20:54
  Speaker 1: if you're sloppy and you've got human scent all over
• 1:20:58
  Speaker 1: you and every other scent from the day, you might
• 1:21:01
  Speaker 1: affect him in a half mile. You know. Interesting? Now,
• 1:21:05
  Speaker 1: what about obstacles? I heard someone recently kind of theorizing
• 1:21:08
  Speaker 1: that they thought stuff like a big feel of standing
• 1:21:11
  Speaker 1: corn or really really thick cover of some kind that
• 1:21:14
  Speaker 1: might block enough wind that you could get away with
• 1:21:16
  Speaker 1: a closer distance um from a wind standpoint and not
• 1:21:19
  Speaker 1: get sented. Do you think there's anything to that depends
• 1:21:23
  Speaker 1: on speed and your smell again, in my opinion, and
• 1:21:26
  Speaker 1: how fast it passes that dear like it. Dear's natural
• 1:21:31
  Speaker 1: reaction is to stay put and stay betted, and it's
• 1:21:36
  Speaker 1: It's one of the only reasons we ever kill them.
• 1:21:39
  Speaker 1: If they if they got up and ran every single
• 1:21:42
  Speaker 1: time they smelled a human, heard a vehicle, heard a
• 1:21:45
  Speaker 1: four wheeler, heard a guy talking, you'd never kill them. Luckily,
• 1:21:49
  Speaker 1: their natural um defense mechanism is to just stay betted.
• 1:21:54
  Speaker 1: So that's why you can walk to your stand even
• 1:21:57
  Speaker 1: even on like you know, make a dumb choice going
• 1:22:01
  Speaker 1: into your stand and and walk right by dear. If
• 1:22:04
  Speaker 1: it's in the cover of darkness and you do it quickly,
• 1:22:07
  Speaker 1: they're more than likely going to accept it, and they'll
• 1:22:10
  Speaker 1: come back down after an hour or two they forget
• 1:22:12
  Speaker 1: what happened. Um. Luckily, they will stay put more often
• 1:22:16
  Speaker 1: than not. So I always go to my stand rather quickly,
• 1:22:19
  Speaker 1: especially if I have a strong wind because it's covering
• 1:22:22
  Speaker 1: your sound. Uh. If I've got a good visual you know,
• 1:22:25
  Speaker 1: position to where I can sneak in, I go very quickly.
• 1:22:28
  Speaker 1: I'm a very quick access guy because I don't want
• 1:22:31
  Speaker 1: my wind going down wind of anyone position for a
• 1:22:33
  Speaker 1: very long period of time. Something I just thought of
• 1:22:37
  Speaker 1: that I that I think you alluded to when you're
• 1:22:39
  Speaker 1: talking about the original influencers. UM, but I didn't ask
• 1:22:43
  Speaker 1: about yet. Was the change in wind speed? UM, Is
• 1:22:47
  Speaker 1: there anything there that you're seeing as a big influencer.
• 1:22:50
  Speaker 1: Is is the change from high to low or low
• 1:22:51
  Speaker 1: to high, or anything like that's pushing deer in one
• 1:22:53
  Speaker 1: way or another, only in the sense that as it
• 1:22:58
  Speaker 1: changes in and out of that suite spot that I
• 1:23:00
  Speaker 1: mentioned I love seven day about twenty somewhere in that
• 1:23:04
  Speaker 1: range is really good. Once you start to go above it,
• 1:23:07
  Speaker 1: it can suppress it a little bit. Once you go
• 1:23:09
  Speaker 1: below it, it it can suppress it a little bit. So
• 1:23:13
  Speaker 1: as it floats in and out of the sweet spot.
• 1:23:15
  Speaker 1: Always think in terms of that look for that sweet spot. Man,
• 1:23:19
  Speaker 1: those days when it's out of south and it's sustained
• 1:23:22
  Speaker 1: that twelve until dark on that first south look out,
• 1:23:26
  Speaker 1: they're all coming. Something you talked about, I think last
• 1:23:31
  Speaker 1: time we we had this conversation that you said that
• 1:23:34
  Speaker 1: you were investigating UM but hadn't come to the firm
• 1:23:37
  Speaker 1: conclusions yet. Was humidity Relative humidity? Is that something where
• 1:23:41
  Speaker 1: you having found I found no correlation. I have studied
• 1:23:46
  Speaker 1: it and studied it, and I cannot put a correlation
• 1:23:49
  Speaker 1: between humidity and dear movement. I can't do it. I've
• 1:23:53
  Speaker 1: had high humidity days where they move their butts off.
• 1:23:56
  Speaker 1: I've had low humidity days. To me, it was other
• 1:23:59
  Speaker 1: whether in fluencers had a much greater effect on them
• 1:24:02
  Speaker 1: than the actual humidity. Then sticking with moisture, then talk
• 1:24:07
  Speaker 1: to me about precipitation. I love it, absolutely love it,
• 1:24:13
  Speaker 1: especially when we haven't had it for a while. If
• 1:24:15
  Speaker 1: you're into a dry spell and it starts, it goes
• 1:24:19
  Speaker 1: back to that delta. You know things are changing. You've
• 1:24:22
  Speaker 1: been dry, it's about to get wet. Get ready because
• 1:24:26
  Speaker 1: they're fixing to move and moving a big way. If
• 1:24:29
  Speaker 1: it's been wet sustained three or four days heavy rain,
• 1:24:33
  Speaker 1: when it's about to stop, it is the biggest trigger
• 1:24:36
  Speaker 1: you will ever see for a white killed deer in
• 1:24:37
  Speaker 1: your life. I don't give up. I don't care if
• 1:24:40
  Speaker 1: it's at nine, ten, eleven, twelve, one o'clock of the
• 1:24:43
  Speaker 1: day when it slows down. They're fixing to move. So
• 1:24:48
  Speaker 1: what about the intensity? I get a lot of people.
• 1:24:51
  Speaker 1: I personally love rain, but you hear a lot of
• 1:24:53
  Speaker 1: people say, oh, they're not gonna move during the middle
• 1:24:55
  Speaker 1: of the storm or during the middle of the all
• 1:24:57
  Speaker 1: day rain. Um, do you have any thoughts on that?
• 1:25:02
  Speaker 1: The heavier the rain, the less likely they are to
• 1:25:04
  Speaker 1: move during it. The lighter the rain, the more likely
• 1:25:06
  Speaker 1: they are to move during it. Those light, misty days
• 1:25:09
  Speaker 1: like fog bordering on mist, man, they're gonna move their
• 1:25:13
  Speaker 1: tails off. Heavy foggers a suppressor. But those those days
• 1:25:17
  Speaker 1: where it's real wet and damp in the air and
• 1:25:19
  Speaker 1: you can still see. If fog affects your visibility, it's
• 1:25:22
  Speaker 1: probably affecting mayors. And if it reduces visibility down to
• 1:25:26
  Speaker 1: where you can hardly see, they're not going to move
• 1:25:28
  Speaker 1: very well. Um. If, however, it's one of those days
• 1:25:31
  Speaker 1: where it's foggy just above where you can see, you know,
• 1:25:35
  Speaker 1: it's kind of just moisture in the air, and then
• 1:25:37
  Speaker 1: it turns into a light presept Whoo, that's a generator, man,
• 1:25:41
  Speaker 1: Look out, cools that body they're gonna move. Light precept
• 1:25:45
  Speaker 1: is fantastic snows the same way. Heavier the snow, the
• 1:25:48
  Speaker 1: less they're gonna move. Lighter the snow, the more of
• 1:25:51
  Speaker 1: an influencer it is. Yeah, I was gonna ask about
• 1:25:54
  Speaker 1: snow next. Is there anything, um what about accumulation? Have
• 1:25:59
  Speaker 1: you noticed any kind of correlation between a certain amount,
• 1:26:03
  Speaker 1: like is twelve inches of snow going to result in
• 1:26:07
  Speaker 1: in a heavier feeding impulse than a one inch snow
• 1:26:10
  Speaker 1: bends on the time of the year and how many
• 1:26:12
  Speaker 1: snows we've already had. If it's just if it's the
• 1:26:14
  Speaker 1: first snow, that they'll react one way. If it's the
• 1:26:17
  Speaker 1: tents snow, they'll react a different way. Once they get
• 1:26:19
  Speaker 1: used to it. The snow really doesn't affect them that
• 1:26:22
  Speaker 1: much anymore, but they got to equalize to it, and
• 1:26:24
  Speaker 1: they gotta get used to it in their environment. You know,
• 1:26:27
  Speaker 1: snow down in Texas and watch them versus snow up
• 1:26:29
  Speaker 1: in Michigan and watch them. It affects every deer heard
• 1:26:32
  Speaker 1: differently depending on how used to it, uh they are,
• 1:26:35
  Speaker 1: how I'm not used to it they are? Yeah, Yeah,
• 1:26:38
  Speaker 1: I feel like, you know, you've got you gotta use
• 1:26:40
  Speaker 1: your own common sense in certain areas, you know. Yeah,
• 1:26:43
  Speaker 1: we had snowed out that Texas ranch and I mean
• 1:26:45
  Speaker 1: they literally didn't move for two days. It's interesting completely, Yeah,
• 1:26:50
  Speaker 1: And I feel like I could see that's a unique scenaria,
• 1:26:54
  Speaker 1: I think. But if I were to take a look
• 1:26:56
  Speaker 1: at a lot of what we're talking about here, one
• 1:26:58
  Speaker 1: of the core that consider sencis is whenever we veer
• 1:27:03
  Speaker 1: from the average, or we veer from the status quo
• 1:27:08
  Speaker 1: that seems to cue this change in behavior with dear,
• 1:27:11
  Speaker 1: whether it be the change in temperature, or the change
• 1:27:13
  Speaker 1: in wind, or the change in precipitation. Um, would you
• 1:27:17
  Speaker 1: say that that's a consistent thing we're seeing here over
• 1:27:19
  Speaker 1: and over again. Is is it's that shift? It's the
• 1:27:22
  Speaker 1: shifting conditions oftentimes that's triggering something. Um that seems to
• 1:27:28
  Speaker 1: be like it is. It is quite often change which
• 1:27:32
  Speaker 1: the weather is ever changing. Right, So their energy conservation
• 1:27:37
  Speaker 1: or you know, energy consumption is really what they're doing.
• 1:27:40
  Speaker 1: They're either going to conserve energy or they're gonna go
• 1:27:42
  Speaker 1: try and recharge their batteries. Really depends upon what time
• 1:27:47
  Speaker 1: of the year it is, how big the front is,
• 1:27:49
  Speaker 1: how much change there is. I mean, that's how they live.
• 1:27:51
  Speaker 1: You know, they have to eat their slaves to their
• 1:27:54
  Speaker 1: stomach and it revolves around the you know those fronts.
• 1:27:58
  Speaker 1: How much it threatens their well being, how much it
• 1:28:01
  Speaker 1: threatens their ability to stay at peak form. All of
• 1:28:04
  Speaker 1: those things will affect them. So it really depends on
• 1:28:08
  Speaker 1: the time of the year and how vicious the front is,
• 1:28:10
  Speaker 1: and it it changes through each phase drastically, honestly, what
• 1:28:20
  Speaker 1: let's let's let's switch to something different here, um, because
• 1:28:25
  Speaker 1: there's one topic that everyone likes to argue about, and
• 1:28:29
  Speaker 1: you've got some some strong opinions about I think that
• 1:28:32
  Speaker 1: are interesting, but their counter to some opinions by many
• 1:28:35
  Speaker 1: other people. And this is the moon, of course. Um.
• 1:28:39
  Speaker 1: Can you give me the marjury one on one on
• 1:28:41
  Speaker 1: your thoughts on the moon, and then we'll go from there.
• 1:28:45
  Speaker 1: Weather Trump's moon in all cases, but the moon is
• 1:28:48
  Speaker 1: a major, major influencer to deer activity. If you take
• 1:28:52
  Speaker 1: the five to seven days on either side of the
• 1:28:56
  Speaker 1: full moon each month, you're going to see the peak
• 1:28:59
  Speaker 1: of daylight activity, whether it be morning or evening. If
• 1:29:02
  Speaker 1: you take the five to seven days in and around
• 1:29:04
  Speaker 1: the dark of the moon, you're generally going to see
• 1:29:07
  Speaker 1: the least amount of activity. That has been my observation
• 1:29:10
  Speaker 1: for the past twenty plus years. The app interprets that
• 1:29:14
  Speaker 1: on a day in and day out basis, and our
• 1:29:17
  Speaker 1: our history within our journal shows that if you want
• 1:29:21
  Speaker 1: to watch the Dree Outdoorge Journal each and every year
• 1:29:24
  Speaker 1: and watch it when it lights up, watch the few
• 1:29:26
  Speaker 1: days that precede the full moon and the few days
• 1:29:29
  Speaker 1: that follow it, and then compare and contrast that with
• 1:29:32
  Speaker 1: the days that precede and follow the dark of the moon.
• 1:29:36
  Speaker 1: Now does that a lot of these factors you talked about.
• 1:29:39
  Speaker 1: You've said that at certain times of the year, an
• 1:29:42
  Speaker 1: influencer will be weighted more heavily. So doesn't it's weighted
• 1:29:46
  Speaker 1: the same. It's weighted the same throughout every phase. Okay, Now,
• 1:29:51
  Speaker 1: what is one influencer that did not change? Interesting? Now,
• 1:29:54
  Speaker 1: what about um? I'm sure you've heard about the red
• 1:29:58
  Speaker 1: moon charts and days and that's essentially the overhead underfoot. Um.
• 1:30:03
  Speaker 1: Have you seen anything there? Any thoughts on on that
• 1:30:05
  Speaker 1: theory that a lot of people seem to have, Because
• 1:30:07
  Speaker 1: I know, if I remember right, the moon the days
• 1:30:10
  Speaker 1: that you just mentioned ahead and after the falling or
• 1:30:12
  Speaker 1: the full moon that typically coincides with the moon setting
• 1:30:17
  Speaker 1: and rising times matching up with those key morning or
• 1:30:22
  Speaker 1: evening time frames. I know that's something you've pointed to.
• 1:30:24
  Speaker 1: When those things match up, that's a that's a good time. UM.
• 1:30:28
  Speaker 1: Folks like Adam Hayes or someone would say, well, when
• 1:30:30
  Speaker 1: the red moon, which is overhead or underfoot, matches up
• 1:30:33
  Speaker 1: with your key morning or evening times, those are the best.
• 1:30:37
  Speaker 1: What's your take on that. I haven't noticed that nearly
• 1:30:40
  Speaker 1: as much. Um. What I have noticed is that during
• 1:30:45
  Speaker 1: certain times of the year, certain times of the day
• 1:30:48
  Speaker 1: are very important. In other words, if you look at
• 1:30:52
  Speaker 1: midday on September and compare that to midday on November,
• 1:30:57
  Speaker 1: drastic difference in how the deer are going to move
• 1:31:00
  Speaker 1: as it pertains to time of day. That's why I
• 1:31:02
  Speaker 1: mentioned earlier when you when you download the app and
• 1:31:04
  Speaker 1: look at it, always watch time of day for each
• 1:31:07
  Speaker 1: individual phase because we're gonna break down what times of
• 1:31:11
  Speaker 1: the day are optimum. So September, give me a moon
• 1:31:17
  Speaker 1: that has overhead or underfoot at noon, it's not going
• 1:31:21
  Speaker 1: to influence them because it's not a normal time that
• 1:31:23
  Speaker 1: they would be moving, not nearly as much as it would. However,
• 1:31:26
  Speaker 1: if you look at it on November fifteenth, when it
• 1:31:28
  Speaker 1: is a normal time that they might be moving, it
• 1:31:31
  Speaker 1: will absolutely influence them more. So, it really comes down
• 1:31:35
  Speaker 1: to what time of the day do they normally move
• 1:31:38
  Speaker 1: during that time of the year. If you look at
• 1:31:40
  Speaker 1: the app, most of the year, it's the first hour
• 1:31:43
  Speaker 1: and a half to two hours. In the last hour
• 1:31:46
  Speaker 1: and a half to two hours, a lot of the year.
• 1:31:48
  Speaker 1: It's the first hour, last hour as it pertains to
• 1:31:50
  Speaker 1: sunrise around sunrise for the next hour to hour and
• 1:31:54
  Speaker 1: a half to an oh about thirty minutes before sunrise
• 1:31:58
  Speaker 1: to the thirty to forty five minutes that follow sunrise.
• 1:32:01
  Speaker 1: Those are that's dear thirty both morning and evening throughout
• 1:32:04
  Speaker 1: the year. However, there are those phases in mid November
• 1:32:08
  Speaker 1: where you could throw that out the window and look
• 1:32:10
  Speaker 1: at the middle part of the day and go, Okay,
• 1:32:12
  Speaker 1: everything is moving between about they start then about the
• 1:32:17
  Speaker 1: time that they end during the rest of the phases,
• 1:32:20
  Speaker 1: and they end about the time they normally start during
• 1:32:23
  Speaker 1: the rest of the phases. So it is drastically different.
• 1:32:26
  Speaker 1: So there is a correlation and how will they move
• 1:32:29
  Speaker 1: with the moon, But you have to time that and
• 1:32:31
  Speaker 1: compare it to what phase you're talking about. Yeah, so
• 1:32:37
  Speaker 1: I know when we chatted last on this topic, we
• 1:32:39
  Speaker 1: talked about the moon in relationship to the rut, and
• 1:32:42
  Speaker 1: if I remember correctly, you would talk about the fact
• 1:32:44
  Speaker 1: that you know the same as most biologists and everyone
• 1:32:47
  Speaker 1: point to that the rut is relatively consistent, is tied
• 1:32:50
  Speaker 1: to photo period, etcetera, etcetera. Um, so I know, as
• 1:32:53
  Speaker 1: You've mentioned a lot of the states as you guys
• 1:32:55
  Speaker 1: put into the deer cast app peak and estus around
• 1:32:58
  Speaker 1: with November fourteenth or fifteenth. That seems to be peak
• 1:33:01
  Speaker 1: est states for most of the Midwest, a lot of
• 1:33:03
  Speaker 1: parts of the country. Um. But you did say that
• 1:33:06
  Speaker 1: the moon illuminates certain portions of the rut and makes
• 1:33:10
  Speaker 1: those better for hunting. Um. Could you expand on that
• 1:33:14
  Speaker 1: a little bit in general, but then talk to us
• 1:33:16
  Speaker 1: about what that's going to do this year than you think. Absolutely,
• 1:33:21
  Speaker 1: the rut differs in intensity each and every year, in
• 1:33:26
  Speaker 1: my opinion, because the moon that same influte. So that
• 1:33:29
  Speaker 1: I'm talking about if you look in and around the
• 1:33:31
  Speaker 1: ten to fourteen days around the full moon, specifically to
• 1:33:34
  Speaker 1: ten five before or five after, and compare that to
• 1:33:37
  Speaker 1: the five before and five after the dark as to
• 1:33:40
  Speaker 1: when you see the deer and how much daylight activity
• 1:33:42
  Speaker 1: you see. It expands it in and around the full moon,
• 1:33:46
  Speaker 1: it decreases it in and around the dark of the moon. Therefore,
• 1:33:49
  Speaker 1: if the full moon hits during a normally good phase
• 1:33:53
  Speaker 1: of the rut, in other words, the seeking phase, oh
• 1:33:55
  Speaker 1: my goodness, man, did we have a rut? Well? It
• 1:33:58
  Speaker 1: enhanced and otherwise grow eight phase. If, however, the full
• 1:34:03
  Speaker 1: moon hits like it's going to this year during some
• 1:34:06
  Speaker 1: tougher phases. In other words, it's going to be full
• 1:34:08
  Speaker 1: at the tail end of the um October law and
• 1:34:13
  Speaker 1: also again at the tail end of November, which is
• 1:34:16
  Speaker 1: party's over and on into uh green revisited. It's gonna
• 1:34:21
  Speaker 1: be a little bit tougher and a little bit later
• 1:34:23
  Speaker 1: because it's coming in phases that aren't normally nearly as good.
• 1:34:27
  Speaker 1: And conversely, the dark of the moon, which subdues movement,
• 1:34:31
  Speaker 1: is going to be hitting in and around those phases
• 1:34:33
  Speaker 1: that are generally better. So you're gonna see you're gonna
• 1:34:36
  Speaker 1: be ce shortened periods of activity first hour, last hour,
• 1:34:40
  Speaker 1: and not nearly as much during the middle part of
• 1:34:43
  Speaker 1: the day this year until you get in and around
• 1:34:46
  Speaker 1: that full moon. I think October could be deadly for
• 1:34:51
  Speaker 1: some really mature bucks on scrapes as we lead in
• 1:34:54
  Speaker 1: the full moon going into like the twenty one to
• 1:34:59
  Speaker 1: leading into that all moon, and then right after that
• 1:35:02
  Speaker 1: as as movement switches over to mornings like catch the
• 1:35:07
  Speaker 1: front in and around the full moon, either leading into
• 1:35:09
  Speaker 1: it or just following the full moon two or three days,
• 1:35:12
  Speaker 1: and you're gonna see some major monsters get killed in
• 1:35:15
  Speaker 1: and around scraping activities at the food source, because those
• 1:35:18
  Speaker 1: are the first places they're gonna go looking for the
• 1:35:20
  Speaker 1: first available dough. It could be dynamite. If it's warm,
• 1:35:23
  Speaker 1: it's gonna subdue way down. It's not going to be
• 1:35:25
  Speaker 1: nearly as good going into November. I think it could
• 1:35:29
  Speaker 1: be a tougher seeking phase and into the peak of
• 1:35:32
  Speaker 1: the rut, it's gonna be more subdued first thirty minutes,
• 1:35:35
  Speaker 1: the last thirty minutes. But then when you get back
• 1:35:38
  Speaker 1: into the full moon around November, I think it is
• 1:35:42
  Speaker 1: then all of a sudden you're starting to see deer
• 1:35:44
  Speaker 1: free up, go back to the food source. That's when
• 1:35:46
  Speaker 1: you get back on your green green plots and you
• 1:35:49
  Speaker 1: look for that cold front and then catch them back
• 1:35:52
  Speaker 1: coming to green green revisited in November. This year will
• 1:35:55
  Speaker 1: be fantastic for some giants in my opinion. So do
• 1:35:59
  Speaker 1: you think that this full moon or what you're talking about,
• 1:36:01
  Speaker 1: how that affects intensity of activity during the daylight that
• 1:36:05
  Speaker 1: we can see as hunters. As you mentioned, this year
• 1:36:09
  Speaker 1: does not line up with the traditional time frames that
• 1:36:11
  Speaker 1: we're expecting the most seeking and chasing and daylight activity
• 1:36:14
  Speaker 1: that we hunters want. Do you think it makes so
• 1:36:16
  Speaker 1: much of an impact that if you had like a
• 1:36:19
  Speaker 1: week of vacation time or two weeks of vacation time
• 1:36:21
  Speaker 1: during the run. I think most guys would usually say
• 1:36:23
  Speaker 1: maybe the first two weeks in November are safe bet
• 1:36:25
  Speaker 1: for typical best running activity. But the moon, as you're
• 1:36:29
  Speaker 1: describing it, is not focusing on or is not going
• 1:36:32
  Speaker 1: to help us out during that time frame. Do you
• 1:36:34
  Speaker 1: think the moon has so much of an impact that
• 1:36:36
  Speaker 1: you would not say those would be the best two
• 1:36:38
  Speaker 1: weeks anymore? Uh? No, those are still the best two
• 1:36:42
  Speaker 1: weeks because that's still the phases where they're going to
• 1:36:45
  Speaker 1: move the best. However, it's going to subdue it. You're
• 1:36:47
  Speaker 1: not going to have as much daylight activity. So what
• 1:36:50
  Speaker 1: then you're depending on is the weather. Uh. If you
• 1:36:53
  Speaker 1: get bad weather during that period, it's going to seem
• 1:36:56
  Speaker 1: like an awful run. If you get good weather during
• 1:36:59
  Speaker 1: that period, it's to seem like a good rut. If
• 1:37:02
  Speaker 1: the moon was lined up and you had great weather,
• 1:37:05
  Speaker 1: then you go, oh my goodness, it's the rut of
• 1:37:07
  Speaker 1: ball ruts. So it really takes several factors lining up
• 1:37:10
  Speaker 1: at once in order to make something incredible versus just
• 1:37:14
  Speaker 1: good or poor. Okay, I filu you there, and that
• 1:37:18
  Speaker 1: that's that's kind of what my assumption was, UM, So
• 1:37:20
  Speaker 1: that that makes sense to me. So I've got one
• 1:37:23
  Speaker 1: last kind of line of questioning here before I take
• 1:37:26
  Speaker 1: up your entire night mark. Um. If we're talking predicting
• 1:37:29
  Speaker 1: dear movement, it's not just outside fact or it's not
• 1:37:33
  Speaker 1: just like atmosphere factors like whether, it's not things just
• 1:37:37
  Speaker 1: like the moon. But there also can be something to
• 1:37:39
  Speaker 1: be said about knowledge like intel can help you predict
• 1:37:42
  Speaker 1: dear movements. This is something that obviously dear cast can't
• 1:37:45
  Speaker 1: do for you. This is something that you, as a
• 1:37:46
  Speaker 1: hunter have to do, UM. But this is something I
• 1:37:49
  Speaker 1: know you've talked about a lot already today. You've mentioned
• 1:37:51
  Speaker 1: the importance of like your long distance observation sits, things
• 1:37:55
  Speaker 1: like that. And then I brought up earlier when I
• 1:37:58
  Speaker 1: was talking about that late October hunt for a whole field,
• 1:38:00
  Speaker 1: how I was trying to take advantage of annual patterns,
• 1:38:03
  Speaker 1: the fact that I knew that this deer had done
• 1:38:05
  Speaker 1: something two years prior. Consistently I was hoping you'd do
• 1:38:08
  Speaker 1: it again for a third year. UM, So, I guess
• 1:38:13
  Speaker 1: if we continue the pattern we've done, Can you give
• 1:38:15
  Speaker 1: me a quick overview of your thoughts on how annual
• 1:38:20
  Speaker 1: patterns and what you can learn from historical trailcare pictures
• 1:38:24
  Speaker 1: can help you predict dear movement. Um. And then I've
• 1:38:27
  Speaker 1: got a few specific things that I've always wondered about
• 1:38:29
  Speaker 1: that that I'm hoping you can help me understand. Absolutely,
• 1:38:33
  Speaker 1: you know that they're extremely habitual animals. They generally do
• 1:38:38
  Speaker 1: similar things during similar times of the year. The things
• 1:38:41
  Speaker 1: that can affect that our moon phase and overall crop
• 1:38:44
  Speaker 1: rotation and overall mass crop production. So while you could
• 1:38:50
  Speaker 1: scout a deer one year you were you were giving
• 1:38:52
  Speaker 1: your whole field example that while ago and I thought
• 1:38:55
  Speaker 1: back to the year that you mentioned would have been
• 1:38:59
  Speaker 1: six team when that moon would have been very favorable
• 1:39:02
  Speaker 1: for that period, uh specifically September. I don't recall what
• 1:39:08
  Speaker 1: fifteens moon was, but sixteens moon would have been very
• 1:39:11
  Speaker 1: favorable right then. Uh, So that could have been the
• 1:39:14
  Speaker 1: thing that had him on his feet during daylight. So
• 1:39:16
  Speaker 1: always keep those conditions in mind and understand that there
• 1:39:20
  Speaker 1: may be influencers on certain days that have him on
• 1:39:23
  Speaker 1: his feet. The best thing you can do is go
• 1:39:25
  Speaker 1: back and look at weather history for those days and go, Okay,
• 1:39:28
  Speaker 1: why did he move on daylight activity here? What was
• 1:39:31
  Speaker 1: it about the weather? Was it a major coal front,
• 1:39:33
  Speaker 1: what was the wind, what was the departure from average,
• 1:39:35
  Speaker 1: what was the pressure, What had the weather been, and
• 1:39:38
  Speaker 1: what was it about to do? And try to understand
• 1:39:40
  Speaker 1: why he moved that day, And then look at what
• 1:39:42
  Speaker 1: the moon phase was. So I look at historical data
• 1:39:46
  Speaker 1: from my photos. I always scout a year in advance,
• 1:39:49
  Speaker 1: but then I take this year's coming conditions in terms
• 1:39:53
  Speaker 1: of moon, how it affects the rut, what the mash
• 1:39:56
  Speaker 1: crop is, what the actual crop rotation is, and then
• 1:40:00
  Speaker 1: try to apply that to the own knowledge within my
• 1:40:02
  Speaker 1: head and go, Okay, what's he gonna do this year?
• 1:40:05
  Speaker 1: So it's one thing to analyze past information. It's another
• 1:40:09
  Speaker 1: thing to take it, interpret it, and then make a
• 1:40:11
  Speaker 1: prediction on how he's going to maneuver through the season
• 1:40:15
  Speaker 1: based on all those conditions this coming year. Yeah, So
• 1:40:18
  Speaker 1: you you you're, you're, you are who you are because
• 1:40:23
  Speaker 1: you're a rock star market because those are exactly all
• 1:40:25
  Speaker 1: the things I've struggled with to try to figure out
• 1:40:27
  Speaker 1: which is you know, so what manners? More? Is it
• 1:40:30
  Speaker 1: the date? So should I be so tied to those
• 1:40:33
  Speaker 1: dates October I was? Or or do the specific conditions
• 1:40:38
  Speaker 1: that happened matter more? Should have been more so looking
• 1:40:41
  Speaker 1: for Okay, I don't care what its October. I'm more
• 1:40:45
  Speaker 1: so should be looking for the X moon with the
• 1:40:48
  Speaker 1: fifteen degree or more temperature drop and high pressure. Um
• 1:40:53
  Speaker 1: would you rank one of the other or how do
• 1:40:55
  Speaker 1: you how do you process all that in your head
• 1:40:57
  Speaker 1: when you're weighing those things. I would have looked at
• 1:41:01
  Speaker 1: conditions for sure, and I would have looked at what
• 1:41:04
  Speaker 1: he would which direction he was heading, like what food
• 1:41:06
  Speaker 1: source was he going to, what was he coming back to?
• 1:41:09
  Speaker 1: How good was the mass crop, how much did it
• 1:41:11
  Speaker 1: affect his daylight activity? How poor was the mass crop?
• 1:41:14
  Speaker 1: You know, all those different conditions, and then you look
• 1:41:17
  Speaker 1: at this year that the Andrew dealt and see what
• 1:41:19
  Speaker 1: he's doing. You also look at the health of the deer,
• 1:41:22
  Speaker 1: and this is something you I don't talk about a
• 1:41:24
  Speaker 1: great deal, but it's something that absolutely makes a difference.
• 1:41:28
  Speaker 1: In other words, I have seen dear in supreme health
• 1:41:32
  Speaker 1: because they've had great feed all summer they've had great rainfall,
• 1:41:36
  Speaker 1: and then they get into the fall and they move
• 1:41:38
  Speaker 1: their butts off because they're in super good condition. And
• 1:41:42
  Speaker 1: then the next year you go through a drought, you've
• 1:41:44
  Speaker 1: got e h d lingering. They don't have the food
• 1:41:46
  Speaker 1: source quality that they had all year. They don't feel
• 1:41:49
  Speaker 1: as well in my opinion, and therefore they don't move
• 1:41:52
  Speaker 1: as well. So I look at the overall health of
• 1:41:55
  Speaker 1: the deer herd. What does rack look like from one
• 1:41:57
  Speaker 1: year or the other? Did he all of a sudden
• 1:42:00
  Speaker 1: not grow the rack you expected him to grow? Why
• 1:42:02
  Speaker 1: did he not grow it? Okay? Did he have something
• 1:42:05
  Speaker 1: nagging at him the previous year? Was it an injury?
• 1:42:08
  Speaker 1: Was it a foot injury? Was it an antler injury
• 1:42:10
  Speaker 1: from another deer? And is that why he was nighttime
• 1:42:13
  Speaker 1: all all year last year? Holy Crappy had a small
• 1:42:16
  Speaker 1: rack last year. Even though he went from three to four.
• 1:42:19
  Speaker 1: He looked the same at age four that he did
• 1:42:21
  Speaker 1: at age three. Oh he blew at age five? Has
• 1:42:24
  Speaker 1: his help regained as he backed to the safe he
• 1:42:27
  Speaker 1: was in at age three? Can I expect similar movement
• 1:42:30
  Speaker 1: out of him at age five that a candid age three?
• 1:42:32
  Speaker 1: Even though his methabolism is going to slow down. He's
• 1:42:35
  Speaker 1: physiologically mature. Might he move a little better than he
• 1:42:38
  Speaker 1: did at age four? So you can look at a
• 1:42:41
  Speaker 1: deer's health from year to year, and almost almost every
• 1:42:44
  Speaker 1: time it will be an indicator, along with weather and
• 1:42:47
  Speaker 1: moon as to the overall amount of daylight activity he
• 1:42:51
  Speaker 1: gave you. I also look at the herd dynamics. The
• 1:42:55
  Speaker 1: population was I in a in a population area where
• 1:43:00
  Speaker 1: are the doughs were way out of whack. Oh, all
• 1:43:02
  Speaker 1: of a sudden they changed the season and we were
• 1:43:05
  Speaker 1: allowed to take a lot more does or c W
• 1:43:08
  Speaker 1: D sharpshooters winning and shot a lot more does or
• 1:43:10
  Speaker 1: shot more dear and took the population down. Is he
• 1:43:13
  Speaker 1: gonna move more because there are fewer dos available? Or conversely,
• 1:43:17
  Speaker 1: the state took the dough limit down in this area
• 1:43:20
  Speaker 1: there are more doughs. I'm seeing more doughs this year
• 1:43:22
  Speaker 1: than I've ever seen. Is he gonna move less because
• 1:43:24
  Speaker 1: there are more doughs available? So you have to look
• 1:43:27
  Speaker 1: at almost every aspect that could affect that deer's movement
• 1:43:31
  Speaker 1: and then put a game plan together on him. Because
• 1:43:34
  Speaker 1: there are certain years where they moved very well and
• 1:43:36
  Speaker 1: certain years where they don't. Some of that's help, some
• 1:43:39
  Speaker 1: of that's weather, but a lot of it is just
• 1:43:41
  Speaker 1: all the other aspects that influence him in an annual basis.
• 1:43:45
  Speaker 1: Huh wow, you're you're blowing my mind right now, Mark,
• 1:43:49
  Speaker 1: because those are a lot of interesting things to think about.
• 1:43:51
  Speaker 1: And as you were walking through that like hypothetical scenario,
• 1:43:55
  Speaker 1: a lot of it was kind of matching up with
• 1:43:57
  Speaker 1: my holy Field situation last year because fifteen and sixteen
• 1:44:00
  Speaker 1: he was very daylight active, he was following I kind of,
• 1:44:04
  Speaker 1: he had some consistent behaviors, etcetera, etcetera. And then last year,
• 1:44:07
  Speaker 1: Now this could also just because he was more mature,
• 1:44:09
  Speaker 1: but last year he ghosted all of October. I wasn't
• 1:44:13
  Speaker 1: getting many pictures, no daylight, Tavity, didn't do the things
• 1:44:15
  Speaker 1: he's done the past. He showed up in early November
• 1:44:18
  Speaker 1: for about a twelve day period and then he was
• 1:44:21
  Speaker 1: a ghost. He was completely off all my cameras, no sightings,
• 1:44:24
  Speaker 1: nothing for the next month and a half. And then
• 1:44:27
  Speaker 1: I found his shed in January. So he shed really early.
• 1:44:32
  Speaker 1: So maybe he kind of injury. Yeah, Yeah, something's naggot
• 1:44:37
  Speaker 1: at him. When a deer's not moving during daylight and
• 1:44:39
  Speaker 1: he should be. Something's naggingt at him. He's got a
• 1:44:41
  Speaker 1: foot injury, he's got a horn that he got horn.
• 1:44:43
  Speaker 1: He's got a touch of DHD. He's trying to recover
• 1:44:46
  Speaker 1: from it. He's got some virus, he's got some infection,
• 1:44:50
  Speaker 1: and he's not moving. Man. I've seen him. We've sat
• 1:44:52
  Speaker 1: there and watched him freaking hoof rot in December. Bucks
• 1:44:56
  Speaker 1: that have been moving great on all November, you get
• 1:44:58
  Speaker 1: a muddy December. They get infection in their hoofs because
• 1:45:02
  Speaker 1: of all the scratches on their hooves from running through
• 1:45:04
  Speaker 1: the rut. They get a little infection that leg. Man,
• 1:45:07
  Speaker 1: it shuts him down. They can hardly walk anymore. The
• 1:45:09
  Speaker 1: next year, they don't. They don't move very well because
• 1:45:12
  Speaker 1: they've had that infection. They didn't. They didn't do very well. Conversely,
• 1:45:15
  Speaker 1: I've seen the opposite. If a deer gets injured early
• 1:45:18
  Speaker 1: in the season, like October, he gets a cut all right,
• 1:45:21
  Speaker 1: and then he doesn't participate in the rut. Sometimes that
• 1:45:24
  Speaker 1: healing process that took place because of whatever bugged him
• 1:45:28
  Speaker 1: in in September October that holds him out of the
• 1:45:31
  Speaker 1: rut ends up making him an incredible calm the next
• 1:45:35
  Speaker 1: year because he did not partake in the rut and
• 1:45:38
  Speaker 1: and pull all of his body weight down. He was
• 1:45:40
  Speaker 1: actually healing during the rut, and then the next years
• 1:45:43
  Speaker 1: the year you see his rack explode. I I truly
• 1:45:46
  Speaker 1: believe that that's one of the factors why you see
• 1:45:48
  Speaker 1: these unbelievable monsters just pop up and you go, how
• 1:45:52
  Speaker 1: in the hell did that happen? When he looked like
• 1:45:54
  Speaker 1: this last year, It's probably because he did not participate
• 1:45:57
  Speaker 1: much in the ruts the previous year, and it might
• 1:45:59
  Speaker 1: have been an injury that that put him on the
• 1:46:01
  Speaker 1: d L during the toughest period of their life each
• 1:46:04
  Speaker 1: and every year, and that's why he rebounded, went through
• 1:46:07
  Speaker 1: the winter healthy, and then came out of it smelling
• 1:46:09
  Speaker 1: like a rose. Herd health and individual deer health has
• 1:46:13
  Speaker 1: a lot to do with your ability to take any
• 1:46:16
  Speaker 1: particular deer any year, and also what he's gonna look
• 1:46:19
  Speaker 1: like when you take him. Yeah, yeah, I can I
• 1:46:22
  Speaker 1: can see that being the case for sure. Um hm.
• 1:46:27
  Speaker 1: All five year old all five year olds are not
• 1:46:30
  Speaker 1: created different, are all not are all not created the same.
• 1:46:33
  Speaker 1: All six year olds are not created equal. They are different.
• 1:46:36
  Speaker 1: Animals with different personalities, dealing with different things in their life,
• 1:46:40
  Speaker 1: and there's there are a lot like dogs or cats
• 1:46:43
  Speaker 1: are people. I mean, there's stuff nagging at them out there.
• 1:46:46
  Speaker 1: And the more you watch this herd health with c
• 1:46:49
  Speaker 1: w D, e h D and the minerals that they
• 1:46:52
  Speaker 1: take in, and what health they're in with drought, how
• 1:46:54
  Speaker 1: much rainfall they got, what the winter was like the
• 1:46:57
  Speaker 1: previous year, all of those things end up being factors
• 1:47:02
  Speaker 1: that end up controlling Dear movement in future years. Look
• 1:47:07
  Speaker 1: at how look at how subdued and the movement was
• 1:47:11
  Speaker 1: following the e h D outbreak of twelve. Not only
• 1:47:15
  Speaker 1: did we have fewer dear because they died, we had
• 1:47:17
  Speaker 1: a sick herd that was trying to the ones that
• 1:47:19
  Speaker 1: got it, that didn't die from it, we're trying to
• 1:47:21
  Speaker 1: get rid of it. And it subdued the movement for
• 1:47:24
  Speaker 1: the next couple of seasons. In my opinion, they just
• 1:47:26
  Speaker 1: we didn't have as many. They weren't healthy. The racks
• 1:47:29
  Speaker 1: look like crap. It took years to get that worked
• 1:47:32
  Speaker 1: out of the herd. They're finally now getting back to
• 1:47:35
  Speaker 1: where they should be, where the herd starts. The herd
• 1:47:38
  Speaker 1: now to me resembles what it did in eleven and
• 1:47:41
  Speaker 1: twelve before it hit. And here we are dealing with
• 1:47:44
  Speaker 1: a monstrous drought in the Midwest again. It is almost
• 1:47:48
  Speaker 1: unbelievable that we're put up against us again this year.
• 1:47:52
  Speaker 1: But that's that's the way it goes, man, That's what
• 1:47:55
  Speaker 1: they're dealing with every year. It's all weather related. Yea.
• 1:48:00
  Speaker 1: So one last question on this annual pattern thing that
• 1:48:02
  Speaker 1: that popped into my head as you were kind of
• 1:48:04
  Speaker 1: walking through this um those couple of items there, And
• 1:48:08
  Speaker 1: I've heard a couple of people theorize about this, and
• 1:48:10
  Speaker 1: that is the idea of looking at annual patterns within
• 1:48:15
  Speaker 1: doe family groups so that you might be able to
• 1:48:19
  Speaker 1: predict when, like maybe a certain mature dough might go
• 1:48:23
  Speaker 1: into Estra's at the same time every year. And if
• 1:48:25
  Speaker 1: you know that the best dough betting are in your
• 1:48:28
  Speaker 1: farm is over you know by the creek that whatever
• 1:48:32
  Speaker 1: the most, that mature dough might be back there year
• 1:48:34
  Speaker 1: after year, and she comes into Esther's the first dough
• 1:48:38
  Speaker 1: you know every If she's the first one to come
• 1:48:39
  Speaker 1: into Estros every year, you might know to focus there
• 1:48:42
  Speaker 1: in a certain time frame. Is there anything to that
• 1:48:44
  Speaker 1: you think how to percent accurate, I would adhere to that.
• 1:48:49
  Speaker 1: I think that was very well articulated that that dear
• 1:48:53
  Speaker 1: is not stupid. If he went there and she she
• 1:48:55
  Speaker 1: came into Estra's early the previous year, guess who he's
• 1:48:58
  Speaker 1: going to seek out early next year, He's not dumb.
• 1:49:01
  Speaker 1: That is absolutely a true statement. And herd health goes
• 1:49:05
  Speaker 1: into dose participation in the rut. If them honeys aren't
• 1:49:08
  Speaker 1: out there moving around, those bucks don't have to move around.
• 1:49:11
  Speaker 1: You know, how well the does move sometimes is indicative
• 1:49:15
  Speaker 1: of how well the bucks are going to move, the
• 1:49:17
  Speaker 1: dose or what caused the frenzy. Yeah. Yeah, So if
• 1:49:20
  Speaker 1: you saw a particularly great amount of running activity during
• 1:49:25
  Speaker 1: maybe maybe on this property early in the year, let's say,
• 1:49:28
  Speaker 1: for whatever reason October twenty eight through the thirty one,
• 1:49:31
  Speaker 1: it was just lights out on this property the last
• 1:49:33
  Speaker 1: two years, it's probably good indicator that there's a reason
• 1:49:36
  Speaker 1: for that, maybe outside of other factors, and that you
• 1:49:39
  Speaker 1: should make sure to be at that spot again maybe
• 1:49:41
  Speaker 1: around the time frame. Yes, but it could be a
• 1:49:45
  Speaker 1: food source that has a certain dough group in that area.
• 1:49:47
  Speaker 1: It may just be that there's more does there that year.
• 1:49:50
  Speaker 1: It might be because there's acorns faller. The next year
• 1:49:52
  Speaker 1: there may not be an acorn crop. They could be
• 1:49:54
  Speaker 1: a half mile away on on a cut corn field,
• 1:49:57
  Speaker 1: and then all of a sudden, the magic circle moves
• 1:49:58
  Speaker 1: over there. So may sure you're trying to interpolate everything,
• 1:50:02
  Speaker 1: you know, not just oh, it happened this year, so
• 1:50:05
  Speaker 1: it's it's going to happen again next year. It might
• 1:50:07
  Speaker 1: be three or four years before that same scenario happens again,
• 1:50:11
  Speaker 1: but don't forget it because it's going to repeat itself
• 1:50:13
  Speaker 1: at some point. You've got to look at everything else
• 1:50:16
  Speaker 1: and and go why are they there? Are they there
• 1:50:18
  Speaker 1: every year? Is it a food plot that I put
• 1:50:20
  Speaker 1: there that wasn't there last year? You know? Is it
• 1:50:23
  Speaker 1: a clover field that's green this year but it wasn't
• 1:50:25
  Speaker 1: last year because we had a drought. Is it the
• 1:50:27
  Speaker 1: acorns that are dropping early? You know, those types of things,
• 1:50:30
  Speaker 1: So look at why the does are there? Yeah, that
• 1:50:34
  Speaker 1: makes a lot of sense. So you see you see
• 1:50:36
  Speaker 1: a pretty significant flip flop with the crop rotation then
• 1:50:39
  Speaker 1: from corn to beans, corn to beans a lot of
• 1:50:41
  Speaker 1: years massive, Yeah, it's massive. Yeah, yea yea, that makes sense. Well, Mark,
• 1:50:50
  Speaker 1: I've kept you longer than I'm sure you wanted, probably,
• 1:50:53
  Speaker 1: so I'm gonna I'm gonna let you get off the
• 1:50:55
  Speaker 1: line now and get back to important things in life. Um.
• 1:50:58
  Speaker 1: But this is, as it always is, fascinating. UM. I
• 1:51:02
  Speaker 1: really appreciate taking the time to do this. And I
• 1:51:05
  Speaker 1: guess any more details regarding dear casts that you want
• 1:51:08
  Speaker 1: to share with the audience. We haven't talked about timing
• 1:51:10
  Speaker 1: of when that's gonna be available yet. Can you talk
• 1:51:12
  Speaker 1: about that too and anything else folks should know if
• 1:51:14
  Speaker 1: they want to get their hands on that. When's your
• 1:51:16
  Speaker 1: podcast going up? This is going to go out Thursday
• 1:51:20
  Speaker 1: of next week, which is the twenty ninth. I think maybe,
• 1:51:26
  Speaker 1: oh perfect timing, it will be available at twenty eight
• 1:51:29
  Speaker 1: God willing, Fingers crossed. Fingers are very crossed. But I
• 1:51:34
  Speaker 1: hope we have put a tremendous amount of support behind
• 1:51:39
  Speaker 1: this app in terms of marketing, and our biggest fear
• 1:51:43
  Speaker 1: is that it's something crashes so we won't know, you know,
• 1:51:50
  Speaker 1: it's kind of like Y two K, We're not going
• 1:51:51
  Speaker 1: to know where it happen here. So, UM, you know
• 1:51:55
  Speaker 1: it's due out on so God willing it will be
• 1:51:58
  Speaker 1: available in your podcast? Okay, okay, and they can find
• 1:52:03
  Speaker 1: that just by going to is that available on Apple
• 1:52:05
  Speaker 1: and Android and all those things, and just go to
• 1:52:07
  Speaker 1: their app stores. You got it, Man, it's gonna be
• 1:52:11
  Speaker 1: under deer cast d E E R C A S
• 1:52:14
  Speaker 1: T one word deer cast. Perfect. Well. I'm definitely gonna
• 1:52:19
  Speaker 1: be picking up as soon as it comes out, and
• 1:52:22
  Speaker 1: I think, just based off what you've shared with us today,
• 1:52:24
  Speaker 1: I gotta imagine there's gonna be a whole lot of
• 1:52:25
  Speaker 1: other folks that are gonna be very intrigued to check
• 1:52:27
  Speaker 1: it out as well. So I'm excited about it. Mark,
• 1:52:30
  Speaker 1: Thanks for putting in all the work for that kind
• 1:52:33
  Speaker 1: of thing, like, for putting in so much time and
• 1:52:35
  Speaker 1: energy to create a tool like that for us hunters.
• 1:52:37
  Speaker 1: I appreciate that, and I appreciate you being here and
• 1:52:39
  Speaker 1: answering these questions. Man, I'm happy to do it. I
• 1:52:43
  Speaker 1: hope everybody downloads it, enjoys all the different content in there,
• 1:52:47
  Speaker 1: watches the kills as they happen. This year, looks back
• 1:52:50
  Speaker 1: at some of our old VHS stuff. I've been sitting
• 1:52:52
  Speaker 1: there watching videos that I haven't watched in twenty five years.
• 1:52:55
  Speaker 1: I'm not joking of the Spring founder spring and I'm
• 1:52:59
  Speaker 1: I'm thinking them stuff, what were we thinking? It's pretty
• 1:53:02
  Speaker 1: funny if you want to have a laugh and the
• 1:53:04
  Speaker 1: and the app, go into the old video section and
• 1:53:06
  Speaker 1: watch it, and then of course deer cast. We're anxious
• 1:53:09
  Speaker 1: to hear back from people how we can tweak it.
• 1:53:11
  Speaker 1: The algorithm is relatively easy a tweak, and we're gonna
• 1:53:15
  Speaker 1: be tweaking it as the seasons come and go. You know,
• 1:53:17
  Speaker 1: if there's something that we're missing, we're gonna add it
• 1:53:20
  Speaker 1: in there. If there's something that's a little too optimistic,
• 1:53:22
  Speaker 1: we'll pull it down. And Uh, I think it's gonna
• 1:53:24
  Speaker 1: be a tremendous tool for people to help them learn.
• 1:53:27
  Speaker 1: And I hope everybody downloads it and and check it
• 1:53:30
  Speaker 1: out and let us know what you think about it.
• 1:53:31
  Speaker 1: That's one of the reasons we have it as as
• 1:53:34
  Speaker 1: the inaugural season at at no charge. It's a pre
• 1:53:36
  Speaker 1: app this year, uh next year will probably move into
• 1:53:39
  Speaker 1: a pay model for certain parts of it. There's still
• 1:53:41
  Speaker 1: be a large portion of it that will be free,
• 1:53:43
  Speaker 1: but there will be certain portions of it that will
• 1:53:45
  Speaker 1: be a pay model. But we want people to to
• 1:53:48
  Speaker 1: get it, use it, feel it like it, UH like
• 1:53:51
  Speaker 1: it or hate it, we want to know about it
• 1:53:52
  Speaker 1: and we want to make it better, and we all
• 1:53:54
  Speaker 1: we all get better if we learn. That's that's one
• 1:53:57
  Speaker 1: thing I know. You never want to stop learning. That
• 1:54:00
  Speaker 1: right there, I think is the perfect way to end
• 1:54:02
  Speaker 1: this out right there. If all of us can continue
• 1:54:04
  Speaker 1: to learn and grow his deer hunters, it's going to
• 1:54:06
  Speaker 1: be a good thing. So I wish you all the
• 1:54:09
  Speaker 1: lolong in the world. Mark, I hope you have an
• 1:54:10
  Speaker 1: amazing season. Same to you. Are you still on Holy Field?
• 1:54:14
  Speaker 1: Do you have pictures of it this year? So? He
• 1:54:16
  Speaker 1: I found a shed, so I believe he's alive. He
• 1:54:19
  Speaker 1: does not live on the farm. I can hunt during
• 1:54:22
  Speaker 1: the summer. I've never got summer pictures of him. He
• 1:54:24
  Speaker 1: always shows up, but you know, September seven somewhere around there. Um,
• 1:54:28
  Speaker 1: so I'm hoping he shows back up again. Um, I
• 1:54:31
  Speaker 1: just don't know. Yeah, I've seen there's a big eight
• 1:54:33
  Speaker 1: point velvet buck that I've seen way off in the distance,
• 1:54:37
  Speaker 1: a little ways away from that property that I think
• 1:54:39
  Speaker 1: could maybe be him. But I can't stay on for sure,
• 1:54:42
  Speaker 1: So the question still is unanswered. Your moon is very
• 1:54:46
  Speaker 1: reminosus that this year, as it was in the fall
• 1:54:49
  Speaker 1: of two thousand and sixteen. Those pictures should be very
• 1:54:51
  Speaker 1: helpful to you. All right, Well that is a good
• 1:54:53
  Speaker 1: pro tip. I'm gonna go take a look at those
• 1:54:55
  Speaker 1: and think about that. So so I'm good at my man.
• 1:54:59
  Speaker 1: Thank you, Mark, I appreciate you, all right, thank you?
• 1:55:03
  Speaker 1: So what did you think about that one? Talk about
• 1:55:07
  Speaker 1: just truckload of information, A lot to process there. If
• 1:55:12
  Speaker 1: you're at all like me, you're probably gonna want to
• 1:55:13
  Speaker 1: go back and listen to this one again. Maybe take notes,
• 1:55:16
  Speaker 1: think back through different past situations of your own, think
• 1:55:19
  Speaker 1: about future situations. It's it's just fascinating stuff. Mark's got
• 1:55:24
  Speaker 1: a lot of interesting theories in this deer cast app.
• 1:55:26
  Speaker 1: I think it's going to be a pretty neat tool.
• 1:55:28
  Speaker 1: I've already been checking it out, and um, I like
• 1:55:30
  Speaker 1: how it can kind of help you confirm or refute
• 1:55:35
  Speaker 1: kind of what your assumptions or your theories might be
• 1:55:37
  Speaker 1: about upcoming deer movement based on your own understanding of
• 1:55:40
  Speaker 1: these factors. So hopefully you enjoyed this one as much
• 1:55:43
  Speaker 1: as I did. Just want to remind you again follow
• 1:55:46
  Speaker 1: along with my hunts. I take off here in just
• 1:55:48
  Speaker 1: a couple of days for Montana and North Dakota. You
• 1:55:51
  Speaker 1: can follow all that on the wire You're Done Instagram account,
• 1:55:53
  Speaker 1: the Wireton YouTube channel, the Wireton Facebook page, and then
• 1:55:57
  Speaker 1: we will continue with our podcasts as well. And by
• 1:55:59
  Speaker 1: the way, radio kicks off next week two. So lots
• 1:56:03
  Speaker 1: and lots of exciting things on the horizon, not to
• 1:56:06
  Speaker 1: mention maybe your very own hunting seasons as well. And
• 1:56:09
  Speaker 1: if you are going to be hit in the woods
• 1:56:10
  Speaker 1: here in the coming weeks or month, good luck out there,
• 1:56:13
  Speaker 1: shoot straight, enjoy your season. It's going to be a
• 1:56:16
  Speaker 1: great one. I think we are all learning together throughout
• 1:56:19
  Speaker 1: this process. We are all becoming better hunters, and I
• 1:56:21
  Speaker 1: think this year it's all going to pay off. So
• 1:56:23
  Speaker 1: thank you so much for joining us today and until
• 1:56:26
  Speaker 1: next time, stay wired to Hunt.