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Speaker 1: Welcome to Wired to Hunts rut Fresh Radio, bringing you

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Speaker 1: the latest reports from the White Tailed Woods and now

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Speaker 1: your hosts, Casey Smith Tyler Jones. This is rut Fresh Radio,

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Speaker 1: brought to you by Vortex Optics. I'm your host, Tyler Jones.

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Speaker 1: And this week there seems to be a common sentiment

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Speaker 1: that there's a lull happening in buck movement across much

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Speaker 1: of the country. Does the October lull actually exist? I'll

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Speaker 1: let you make your own decisions. Welcome to rut Fresh Radio,

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Speaker 1: powered by Vortex Optics. I'm Casey Smith, this is Tyler Jones,

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Speaker 1: and we are talking to your hunting guys. And get this,

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Speaker 1: I always like to HiPE because it's hip season. Okay,

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Speaker 1: here's the deal. Whatever today is, whatever day you're listening

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Speaker 1: to this, ma'am, it gets better tomorrow and better than

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Speaker 1: next day, and better than next day. It just keeps

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Speaker 1: getting better from here on out. Man. That's right. Alabama

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Speaker 1: don't get better for a while. Mississippi or the good

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Speaker 1: thing about those states down there, man, is like pretty

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Speaker 1: much just the Bowl appearances actually interfere with the rut

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Speaker 1: you know, because it's so that I was regarding you know,

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Speaker 1: they're with the Alabama loss. It was very unfortunate for them.

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Speaker 1: They family. But yeah, the uh January ruts are nice.

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Speaker 1: But in most of the country, you're right, like every

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Speaker 1: day it's getting better. It is. Man. We've been talking

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Speaker 1: to people from all over the country and uh uh

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Speaker 1: the further northego, the kind of more consistent this gets.

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Speaker 1: I do believe we're actually fixing a hit up on

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Speaker 1: another little swaying up through the north country to go

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Speaker 1: chase some big old bucks. Uh. But um, it's still

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Speaker 1: that way here in Texas where we got some cameras

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Speaker 1: out hunting some Texas public land right now. Uh and

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Speaker 1: uh kind of targeting these cold fronts that are moving

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Speaker 1: across the country. And that's gonna be probably a pretty

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Speaker 1: big theme from what we hear guys talk about. You know,

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Speaker 1: depending on your opinion of deer movement. I know that

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Speaker 1: their studies out there that bucks don't move anymore and

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Speaker 1: for any other reason. Like honestly, if you listen to

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Speaker 1: all the studies, they're gonna say that deer movement is

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Speaker 1: a monotony and it never changes. But if you've been

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Speaker 1: out in the woods some there is perceived reality and

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Speaker 1: that perceived reality is that these things have some influence

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Speaker 1: on deer. I can tell you one thing is when

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Speaker 1: it I mean, there's no doubt like this time of year,

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Speaker 1: and also on colder days, deer or more on my camera,

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Speaker 1: and there are more bucks on my camera. So I mean,

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Speaker 1: I don't know what to do except for just if

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Speaker 1: I'm doing my own science, this is what I see.

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Speaker 1: So I'm I'm going hunting if it's cold, and you know,

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Speaker 1: guarantee you in November time to be in the woods

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Speaker 1: even in late October right now. Yeah. Yeah, the guys

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Speaker 1: if you haven't, By the way, if you like big

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Speaker 1: Bucks and you don't, you should go check out just

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Speaker 1: the breathtaking situation with Oklahoma buck that I killed last year.

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Speaker 1: I just got a text message from the guy who's

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Speaker 1: doing the euro for me, and he said, man, uh,

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Speaker 1: I think his buck might be older than what we

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Speaker 1: used him on his bottom jaw because he's like his

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Speaker 1: teeth are falling out. He also had, he said, more

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Speaker 1: bot flies than any other deer he's ever seen. Really, yeah,

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Speaker 1: I didn't show you the picture because you know that

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Speaker 1: kind of thing. I've seen one that's all I need

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Speaker 1: to see. It was gross. Um but uh, he had

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Speaker 1: like an abscess, his teeth are falling out, like he's

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Speaker 1: digging him out of the bottom of the of the

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Speaker 1: bucket and stuff this old buck. I think, so it's

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Speaker 1: that time. Uh he was he was cool man, and

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Speaker 1: I'm ready to get that head back because, uh what

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Speaker 1: a just epic thing for us. It kind of cemented

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Speaker 1: the buck truck, you know as uh am I using

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Speaker 1: that word right by the way, cemented that's the thing,

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Speaker 1: right Yeah. Um uh I said that to our friend

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Speaker 1: Mark Keny the other day and he didn't have anything

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Speaker 1: too much just say about it. So you never know

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Speaker 1: if he's just being Mark and he's like assuming you

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Speaker 1: use words right, white, or if he's just like this

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Speaker 1: guy's dummy from Texas. But anyways, uh, that deer after

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Speaker 1: a shot him, just some pretty dramatic things happened. Um

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Speaker 1: that just we're I don't know, kind unexplainable. Yeah. I

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Speaker 1: think we talked about it a little bit on this

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Speaker 1: same show last last week. Uh. We do a lot

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Speaker 1: of podcasts, and so between our The Element podcast and

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Speaker 1: this podcast, we kind of get confused on what we

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Speaker 1: talked about. But I think we did talk about it,

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Speaker 1: and uh, you know, I saw another comment on the

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Speaker 1: video about this um and you mentioned it, but like, um,

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Speaker 1: when what happens to the deer is not a funny thing.

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Speaker 1: But we were like about near holding our breath for

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Speaker 1: thirty minutes, and what came out was this joy of

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Speaker 1: watching it, dear fall, because it's a quick, ethical kill,

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Speaker 1: right um, and this whole like, I can't believe it

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Speaker 1: just happened. We had success, we got the shot we wanted,

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Speaker 1: it was super lethal, and all this stuff and what

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Speaker 1: it is and what ends up happening to that dear,

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Speaker 1: it's not like a funny thing. It actually it's hard

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Speaker 1: for me to watch, and that's the reason we didn't

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Speaker 1: put it in the slow motion replay. But uh, we

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Speaker 1: do laugh because it's you and me. We laugh a

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Speaker 1: lot and we had a good time. And so if

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Speaker 1: you've watched it and it was distasteful, we would probably

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Speaker 1: apologize that it came off that way. We didn't intend

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Speaker 1: it that way at all. We actually both highly respect

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Speaker 1: and value all kinds of animals, probably more animals than

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Speaker 1: most of your listeners. I can say that, especially about

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Speaker 1: k C. Because this dude knows every bird under the sun,

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Speaker 1: just about you know, he's you're a birder pretty much.

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Speaker 1: And the ones at not too not jars, you know

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Speaker 1: those are actually you were talking about one of the

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Speaker 1: most sorry mark again where you know we we're not

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Speaker 1: grouping here, so I apologize. It's twenty seven different species

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Speaker 1: and night jars, uh, when they're all kind of grouped

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Speaker 1: into that like nighthawk knock jar type thing. Right. But anyway,

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Speaker 1: we just started out really, uh, whipper wheel It's not

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Speaker 1: That's what I was thinking, Okay, just making sure it's something.

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Speaker 1: And we actually what we call whipper wheels here usually

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Speaker 1: chuck widdows wheels, um, but we just hard to say

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Speaker 1: yeah and not doesn't sound in nears cool. We already

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Speaker 1: got plenty of syllables in the word whipple wheel owner.

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Speaker 1: Then the song chuck didn't come out here don't Actually

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Speaker 1: maybe it's probably somebody check that fact check that I

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Speaker 1: used to keep up with things on the calendar something

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Speaker 1: and I learned that from Pop, my granddad. He uh

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Speaker 1: would always write down the first whipper wheel he heard

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Speaker 1: in the spring. It was always like late March, early

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Speaker 1: April something like that. Yeah, And I think that I

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Speaker 1: should start do it with there a little more often.

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Speaker 1: Like the first scrape I see open up in Texas.

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Speaker 1: I'll keep up with that. I'll see you see what

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Speaker 1: that is, because that's what we're starting to see around

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Speaker 1: here right now. Uh got some cameras are gonna be

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Speaker 1: doing some some hunting this week on the cold Front. Um.

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Speaker 1: But I'm kind of thinking in concern and like, you know,

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Speaker 1: just for a little hunting banter here is a lot

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Speaker 1: of people are are hunting and thinking about this. In fact,

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Speaker 1: that's why they listen to this podcast. Do believe? Are

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Speaker 1: we in a weird time period in the mid October

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Speaker 1: stages where mature bucks actually aren't hitting the scrapes yet

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Speaker 1: and it's the young bucks kind of getting out there,

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Speaker 1: getting fisty and taking care of that stuff. And should

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Speaker 1: I be concentrating on the betting specific stuff still or

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Speaker 1: with the coal front with the rain coming through, are

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Speaker 1: there going to be big bucks on their feet doing

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Speaker 1: that even in the teens of October? You know, because

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Speaker 1: I affectionately call the twenty second through scrape week, it's

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Speaker 1: kind of, you know, a thing that a lot of

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Speaker 1: us kind of talk about, you know, but as well

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Speaker 1: lead up to that is it's uh foolish to hunt

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Speaker 1: the scrapes. Um, I would say, if you're asking me,

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Speaker 1: I would say that you're you're if you get is

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Speaker 1: this kind of a theory you're developing at as you

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Speaker 1: watch the cameras and we just put out okay, So

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Speaker 1: i'd say you're on the right track. I would say, Um, personally,

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Speaker 1: I think that, you know, I like to h and

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Speaker 1: this is just this is all coming to me right

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Speaker 1: now as I'm thinking about it, because I mean, without

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Speaker 1: thinking about too much, I would say, oh, yeah, it's coming,

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Speaker 1: scrapes are gonna be hitting. But like, I think you

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Speaker 1: might be onto something. I think that like when I

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Speaker 1: think back to I killed the deer on a scrape

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Speaker 1: in October on some public in Illinois, a big deer,

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Speaker 1: mature buck. I watched the foot the trail camp footage

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Speaker 1: of this yesterday. So he shows up on a cold

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Speaker 1: front on the sixteenth, which is today when or this

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Speaker 1: week or whatever essentially when we're recording this thing, and uh,

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Speaker 1: you know that is his first time he shows up.

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Speaker 1: But he shows up at night. It's fifty or something

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Speaker 1: like that. So um, and then the next coal front

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Speaker 1: that runs through that's on it's on the twenty three,

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Speaker 1: he shows up that evening and I shoot him at scrape.

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Speaker 1: So um, my thoughts are that what you're gonna end

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Speaker 1: up doing potentially here on some of this pub around here,

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Speaker 1: wherever you end up hunting is having I mean we

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Speaker 1: saw where last night the weather came in and we

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Speaker 1: saw the night for there was nothing, and then last

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Speaker 1: night there was like what we assume were three year

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Speaker 1: old bucks kind and uh, I think you may end

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Speaker 1: up even seeing a decent buck um, but I think

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Speaker 1: that it's still like a week away from those deer

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Speaker 1: actually doing daylight things around that. I think they're going

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Speaker 1: to be exploring, but it's gonna be nintime movement majority.

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Speaker 1: But this is a major, major cold front, so uh,

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Speaker 1: I don't know. The colder the weather, I feel like

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Speaker 1: the more willing those deer are to move. But all

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Speaker 1: in all, like when I think about even the private

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Speaker 1: here that I'm hunting, those dear, I'm not seeing dear,

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Speaker 1: I'm not seeing bucks show up till literally the twenty

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Speaker 1: ninth of October at least. So that is my house too.

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Speaker 1: I'm just kind of thinking that, you know, my strategy

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Speaker 1: in my mind has been let's go hunt these scrapes.

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Speaker 1: But now I'm thinking I should go back to kind

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Speaker 1: of what we did in South Dakota, where we hunt

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Speaker 1: that transitional stuff between food and bedding in the mornings,

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Speaker 1: and that be your best bet to have one on

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Speaker 1: their feet. I think so too. I think it's a

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Speaker 1: good idea. I know it kinda steps on all the

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Speaker 1: stuff y'all did the other day. Well it just I mean,

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Speaker 1: I'm glad we went and hung those cameras and kind

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Speaker 1: of explored and learned things. And the foods there. Acrons

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Speaker 1: are dropping over cups in particular, it's like it's the thing,

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Speaker 1: but there's enough of them that it spreads them out.

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Speaker 1: And also being creek bottoms in East Texas, it's just

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Speaker 1: there's a lot of bedding cover and I haven't had

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Speaker 1: the opportunity to go in there and just tear this

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Speaker 1: thing up in the off season too, no like specific

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Speaker 1: buck bedding, you know. So I'm thinking that I'm gonna

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Speaker 1: go look for big rubs that are way back away

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Speaker 1: from roads and near some food and try to just

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Speaker 1: get the wind right and hood. I think that's a

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Speaker 1: good plan. I think that's I think you're on the

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Speaker 1: right path, and it stinks to have to get way

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Speaker 1: back away from things. But that's just part of shooting

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Speaker 1: big bucks most of the time. It is most of

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Speaker 1: the time of the year, I mean, outside the rut.

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Speaker 1: That is just the way it is. Speaking of I

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Speaker 1: need to grab the game cart while we're here, not

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Speaker 1: because I'm optimistic, so you know I need that. So, uh,

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Speaker 1: we actually talked to some other optimistic guys this week

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Speaker 1: on the podcast. I love to get some guys on

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Speaker 1: here who feel like it's time to kill man. And

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Speaker 1: now I will give you this. Um, I feel like

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Speaker 1: we had some realists here for the most part. Uh. So,

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Speaker 1: like when you hear a number and it's not like

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Speaker 1: up there and like the Chechen range, that doesn't mean

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Speaker 1: it's bad, right, And we talked about this, but I

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Speaker 1: want people to think about this from time to time. Right,

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Speaker 1: So if you hear that, you know, five or six,

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Speaker 1: that's a hunting number for sure, looking at pretty much

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Speaker 1: better than good good. So down here we're talking to

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Speaker 1: this week. So this week we're talking to Chris Nickerson

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Speaker 1: of Maine, Greg Litzinger of New Jersey, marc OLiS of

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Speaker 1: Moultri Mobile he's in Alabama, and Nate Crick of Identical Drawl.

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Speaker 1: They were in South Coda and had some success recently.

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Speaker 1: So let's get to the interviews. I've got Chris Nickerson,

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Speaker 1: who is hunting in Maine on the phone right now. Chris,

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Speaker 1: what's going on up there? Man? Uh? I am. I'm

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Speaker 1: up here trying to try and invade uh, falling leaves,

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Speaker 1: stream winds, some rain, h and all the things the

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Speaker 1: big widths of Central Main hunt. That sounds cool. We

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Speaker 1: actually have a little rain here too, which is a

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Speaker 1: rarity as you can imagine, you know, for Texas because

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Speaker 1: you're from here now. But you grew up hunting Maine,

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Speaker 1: is that right? I did? So, you know I was interesting.

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Speaker 1: I was. I was born in Texas. Uh, you know,

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Speaker 1: my family settled in Maine when I was a small child.

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Speaker 1: So look most of my main and most of my

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Speaker 1: time in Maine, and then you know, through my twenties,

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Speaker 1: I was kind of your average gun hunter. You know.

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Speaker 1: My whole time at Mains, I never took it too seriously.

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Speaker 1: Now I'm living in Texas, been there for you know,

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Speaker 1: seven plus years, and uh, you know, taking bow hunting

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Speaker 1: super seriously, and had some opportunities to come back up

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Speaker 1: here and hunt a private farm. But a friend of

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Speaker 1: mine has worked, you know forever, you know, took him

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Speaker 1: up on the offer, and uh, it's it's been a

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Speaker 1: it's been interesting trips cell phone. Well you've seent me

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Speaker 1: some pictures and it looks beautiful. What is the tactic

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Speaker 1: going in Maine right now? Man? It just seems like

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Speaker 1: a different world, you know, so I don't even know

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Speaker 1: where to start. It is, you know, the best way

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Speaker 1: I can explain Maine to someone who has not been here,

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Speaker 1: it's it's almost like Alaska's little brother. A lot of

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Speaker 1: the trades of Maine are very similar to Alaska, just

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Speaker 1: not as quite on as steroids as Alaska. You know,

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Speaker 1: a lot of a lot of cedar swamps, you know,

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Speaker 1: mossy bottoms, and then it can transition to hardwood flats

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Speaker 1: almost instantly, so there's a lot of diversity. The deer

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Speaker 1: population is quite small per acre, you know, compared to

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Speaker 1: a lot of the states, especially when we're used to

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Speaker 1: in Texas in the south, so you're not gonna see

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Speaker 1: you all the time, which is you know, I think

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Speaker 1: just from my experience talking other folks, it's fairly common.

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Speaker 1: A lot of the northern cold weather states, you know,

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Speaker 1: you don't see a lot of movement. You're not sitting

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Speaker 1: out here seeing every single night. You know. It's it's

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Speaker 1: nothing to go a couple of days and not see

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Speaker 1: a deer and then all of a sudden a monster

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Speaker 1: can walk out of nowhere and just take you by

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Speaker 1: a total surprise. So that's kind of what I'm battling

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Speaker 1: right now, is you know, I'm hounding a piece of

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Speaker 1: land i've ever been on. I'm startain cold, I had.

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Speaker 1: I've got a total of two weeks here and I'm

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Speaker 1: about the halfway point. I've seen a couple of decent bucks,

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Speaker 1: you know, handful of days, but no crazy movement. I'm

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Speaker 1: out here, you know, trying to scout, you know, attactfully

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Speaker 1: where I'm not just blowing the whole area out, you know,

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Speaker 1: scouting hunting. I'm I'm I'm a saddle hunter, uh like

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Speaker 1: you folks, And so I'm using that tactic, you know,

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Speaker 1: to speak through be as quiet as I can without

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Speaker 1: blowing this place up. And uh you know, I'm I'm

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Speaker 1: I'm slightly discouraged at the moment, just because you know,

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Speaker 1: I'm used to seeing so many deer um as we

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Speaker 1: do in the South. But um, I'm hopeful that I'm

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Speaker 1: definitely gonna get onto something pretty good here in the

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Speaker 1: next handle of days. So you see you mentioned central Maine. Uh,

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Speaker 1: what part of Texas do you live in? So I

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Speaker 1: currently live in the Sticks Attack Just the closest to

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Speaker 1: the city to b is is Austin, about an hour

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Speaker 1: an hour east of Austin. I got a lot of

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Speaker 1: deer down there, for sure, we do. Yeah. So, like

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Speaker 1: I was just wondering because you mentioned central Maine and

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Speaker 1: if you put you know, if you said central Texas,

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Speaker 1: then you could fit all the main in that. And

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Speaker 1: so I wonder if, like central Maine, why you're why

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Speaker 1: you mentioned that? Is there something particular their habitat wise

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Speaker 1: or deer wise or you know, what's the what's the

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Speaker 1: dynamic there that you mentioned that? For sure, that's good, good,

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Speaker 1: good question, because northern Maine. Um, when you when you

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Speaker 1: come to Maine and you you talk to locals here,

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Speaker 1: when they talk about northern main it's the part of

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Speaker 1: Maine that is by most people's standards, uninhabitable due to

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Speaker 1: the extreme cold. The largest county main is Gst County.

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Speaker 1: That's typically the count of day. One of the first

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Speaker 1: two is quote up north Uh, Central Main is is

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Speaker 1: basically if you look at on the map geographically, it's

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Speaker 1: kind of actually the southeast corner of Main you know,

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Speaker 1: if you were to break it down on the map,

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Speaker 1: but that's kind of princess central Main. Bangor is the

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Speaker 1: biggest city that's close to where I'm at, which is

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Speaker 1: considered Central Maine, and then from there you head towards

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Speaker 1: the coast and that's quickly considered more of the down

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Speaker 1: east main section. So so, so what are you focusing

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Speaker 1: on right now there in central Maine as far as

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Speaker 1: like what what I mean, are scrapes the thing? Or

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Speaker 1: you know, what what are deer doing? Yeah, that's a

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Speaker 1: great question. What what I'm struggling with right now is

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Speaker 1: we're in the leaf the leaf fall part of the

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Speaker 1: fall app here, so the leaves are coming off the

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Speaker 1: trees and there is a astounding amount of leaves on

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Speaker 1: the ground right now. So when I'm scouting finding what

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Speaker 1: you know to be a good deer path that you

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Speaker 1: cannot see a fresh track to save your life because

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Speaker 1: somebody leaves on the ground. Um. Part of what I'm

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Speaker 1: optimistic about is in the next few days, were just

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Speaker 1: going out of a pretty aggressive windy rainstorm, and most

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Speaker 1: of most of the leaves are down in this area

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Speaker 1: for the most part, and so those will start kicking

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Speaker 1: away and we'll get a little bit more clearing, so

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Speaker 1: I can see what's going on. Scrapes are almost impossible.

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Speaker 1: Beds are impossible. I have I have scoured the woods

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Speaker 1: here hard, and it's really tough to find. You don't

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Speaker 1: find a handful of rubs, but there again, there's not

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Speaker 1: a lot compared to other places I've hunted, so it's, uh,

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Speaker 1: the sign is very sparse, so it's I'm having to

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Speaker 1: work for this one, yeah, for sure. And I can

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Speaker 1: see where as an archery hunter especially, that gets pretty tough,

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Speaker 1: you know. I know those guys track up there a

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Speaker 1: lot and cover ground. But whenever you can shoot, you know,

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Speaker 1: seventy eight yards with open side riffle, I'm sure it

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Speaker 1: adds a little bit of extra to it. But do

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Speaker 1: you plan on like kind of things are really starting

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Speaker 1: to get into swing, And from my experience, the more

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Speaker 1: north you are, the more this stuff lines up on

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Speaker 1: calendar days. And you're about as far north as you

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Speaker 1: can hunt white tills in the States at least, So

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Speaker 1: do you expect that, like we will, you will at

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Speaker 1: least start seeing a good bit of buck activity as

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Speaker 1: the next week pushes on, I think so that this

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Speaker 1: next week, I feel like if I had to gage it,

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Speaker 1: I think this next week that I'm gonna be there

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Speaker 1: is kind of probably gonna be the start of the

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Speaker 1: good part of October. Here. I wish I had another

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Speaker 1: week because I think the very end of Uxtra is

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Speaker 1: gonna be great here. Um, it's a little warmer than

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Speaker 1: I would like to see right now this next week

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Speaker 1: probably in um roughly around you know, fifty, mid fifties,

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Speaker 1: high fifties, and the lowers we're only gonna be you know,

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Speaker 1: thirty seven or four degrees. We did have one day

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Speaker 1: that was pretty cold, but then it just popped right

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Speaker 1: back up and it's been a warmer weather. So I

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Speaker 1: wish it was a little colder that I think I

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Speaker 1: would help a little. But I think you're right, we're

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Speaker 1: coming into that part of season where it's gonna start

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Speaker 1: taking up, So I do. I'm optimistic about that, good man.

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Speaker 1: That's good to hear. So if you had rate like

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Speaker 1: your next week that you're gonna be up there hunting

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Speaker 1: um for a buck movement scale of one to team

375
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Speaker 1: what would you think it's gonna be. I think towards

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Speaker 1: the tail end of this next week it is probably

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Speaker 1: gonna be close to that. I'd put it that probably six.

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Speaker 1: I think it's going to increase a fair amount. I

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Speaker 1: know that probably doesn't sound real high, but for this area,

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Speaker 1: I think that's a assessment. It sounds realistic to me.

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Speaker 1: I'd like to call that a killing six, you know

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Speaker 1: what I mean. Like, if you're a real hunter, you

383
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Speaker 1: think that six is pretty good works every time for sure.

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Speaker 1: You know, I've got a lot of pression on my

385
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Speaker 1: friends from back in Texas. You know, they hear all

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Speaker 1: these stories at these great giants on the north and

387
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Speaker 1: they think I might come up here, and I just

388
00:19:06,160 --> 00:19:08,239
Speaker 1: got world class buck and so I've got some I've

389
00:19:08,280 --> 00:19:10,600
Speaker 1: got some heat on the perform good man. Well, we

390
00:19:10,680 --> 00:19:12,480
Speaker 1: don't have any heat to push towards your way, but

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Speaker 1: we do wish you well. Man. I hope you have

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00:19:14,520 --> 00:19:16,399
Speaker 1: some success up there and can't wait see the pictures.

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00:19:16,560 --> 00:19:21,639
Speaker 1: Thanks for time, Yeah, absolutely, thanks guys. All right, so

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Speaker 1: now on the phone, I've got Greg let Singer. I

395
00:19:23,880 --> 00:19:25,919
Speaker 1: like to call him lip Sinkers sometimes and even call

396
00:19:26,040 --> 00:19:28,359
Speaker 1: him Greb. When I was talking to Ksey earlier. I

397
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Speaker 1: don't know if you know what a grieb is, but

398
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Speaker 1: that's a waterfowl. Uh, and some people call him grabs.

399
00:19:32,760 --> 00:19:37,200
Speaker 1: So grab. What's been going on? Man? And I'm good,

400
00:19:37,359 --> 00:19:39,480
Speaker 1: you know, trying to trying to taste some books. You know,

401
00:19:40,040 --> 00:19:42,920
Speaker 1: same is everybody. Yeah, they marsh bucks? Are they different

402
00:19:43,000 --> 00:19:46,280
Speaker 1: kind of country? Um? I'm doing three h the marsh

403
00:19:46,320 --> 00:19:47,639
Speaker 1: in the Big Woods this year. Break it up a

404
00:19:47,680 --> 00:19:50,000
Speaker 1: little bit, all right, dude, the way they can charge

405
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Speaker 1: you more, right exactly? Oh that's cool, dude. You hunt

406
00:19:55,560 --> 00:20:00,000
Speaker 1: some really interesting country. And um, I love following you man, um,

407
00:20:00,040 --> 00:20:02,160
Speaker 1: and have known you for several years now. Man. We've

408
00:20:02,240 --> 00:20:04,880
Speaker 1: we kind of text several times a year and talk

409
00:20:04,960 --> 00:20:07,080
Speaker 1: about things and usually get up on the phone. And

410
00:20:07,119 --> 00:20:09,399
Speaker 1: I like watching because you get after it, man, Like

411
00:20:09,400 --> 00:20:11,320
Speaker 1: even in the offseason. Man, you're out there as much

412
00:20:11,320 --> 00:20:13,440
Speaker 1: as you can, trying to be a good dad and

413
00:20:13,440 --> 00:20:15,359
Speaker 1: and that kind of thing too, but you know, also

414
00:20:15,440 --> 00:20:17,360
Speaker 1: spending some time out in the woods trying to figure out,

415
00:20:17,359 --> 00:20:20,000
Speaker 1: like what these deer doing. You end up usually killing

416
00:20:20,040 --> 00:20:23,359
Speaker 1: several big bucks throughout the years. Man. So I wanted

417
00:20:23,359 --> 00:20:24,840
Speaker 1: to talk to you a little bit about what you've

418
00:20:24,840 --> 00:20:28,240
Speaker 1: been seeing You've been hunting New Jersey quite a bit lately,

419
00:20:28,280 --> 00:20:30,720
Speaker 1: and just see what you've been seeing and and uh,

420
00:20:30,920 --> 00:20:34,560
Speaker 1: you know what the deer doing in the woods right now. Um,

421
00:20:34,720 --> 00:20:38,440
Speaker 1: it was earlier Touber was really good. Um September was

422
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Speaker 1: kind of a bus for me. But uh, a lot

423
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Speaker 1: of deer pempic theer. But earlier Tober, the cameras are

424
00:20:44,080 --> 00:20:46,960
Speaker 1: blowing up a lot of big deer hit scrapes. And

425
00:20:46,960 --> 00:20:48,960
Speaker 1: it kind of died off this past week. We had

426
00:20:48,960 --> 00:20:52,160
Speaker 1: to you know, with the hurricane and whatnot. And uh

427
00:20:52,280 --> 00:20:55,080
Speaker 1: I checked some cameras, was like yesterday, and uh, they

428
00:20:55,119 --> 00:20:57,199
Speaker 1: are starting to move still in the dark side, you

429
00:20:57,240 --> 00:21:00,119
Speaker 1: know that last hour, like even close to bedding, the

430
00:21:00,240 --> 00:21:04,240
Speaker 1: scrapes are starting to get fired up. You know, are

431
00:21:04,280 --> 00:21:08,240
Speaker 1: you are you? Are you seeing? Does use those scrapes too?

432
00:21:08,320 --> 00:21:11,600
Speaker 1: Or is it mostly bucks? Um? Some of the it's

433
00:21:11,640 --> 00:21:15,320
Speaker 1: a mixture. Um. You know, I've run cameras scrapes and

434
00:21:15,320 --> 00:21:19,320
Speaker 1: your buck betting and just general high traffic are scrapes.

435
00:21:19,760 --> 00:21:23,240
Speaker 1: The does I mean they love scrapes. Man. The liting

436
00:21:23,280 --> 00:21:26,160
Speaker 1: branches are always in their year round, so I let

437
00:21:26,160 --> 00:21:28,080
Speaker 1: those cameras seem to be doing a little bit better,

438
00:21:28,520 --> 00:21:31,399
Speaker 1: um with the buck movement now than the buck you know,

439
00:21:31,520 --> 00:21:36,080
Speaker 1: I guess betting scrapes. Uh, so my cameras are on

440
00:21:36,160 --> 00:21:40,040
Speaker 1: does the community scrapes are doing extremely well for bucks,

441
00:21:40,280 --> 00:21:43,840
Speaker 1: So just a little late and uh for hunting purposes

442
00:21:44,560 --> 00:21:46,960
Speaker 1: in the in the marsh world. So let's just say

443
00:21:47,000 --> 00:21:49,680
Speaker 1: wetlands in general, because you know you're hunting marshes. Guys

444
00:21:49,760 --> 00:21:51,920
Speaker 1: that swamps. Some guys hunting bogs, you know, but it's

445
00:21:51,920 --> 00:21:56,240
Speaker 1: all kind of like wet ground. Uh, but dear make scrapes.

446
00:21:56,280 --> 00:21:58,040
Speaker 1: It's the thing they do. So in that type of

447
00:21:58,040 --> 00:22:00,000
Speaker 1: country year, are those you're actually going to find high

448
00:22:00,119 --> 00:22:02,800
Speaker 1: ground to scrape or or like what does it look

449
00:22:02,880 --> 00:22:05,840
Speaker 1: like in that wet country? Uh? Sometimes it's been dry

450
00:22:05,920 --> 00:22:07,560
Speaker 1: in the last couple of years and now we've had

451
00:22:07,680 --> 00:22:10,200
Speaker 1: that hurricane and feel the storms to some of the

452
00:22:10,280 --> 00:22:14,159
Speaker 1: traditional scraping areas underwater. So they've just moved it to

453
00:22:14,280 --> 00:22:17,399
Speaker 1: the next piece, um, like the one that's like a

454
00:22:17,400 --> 00:22:20,360
Speaker 1: holly tree, Like they like holly trees, and they move

455
00:22:20,640 --> 00:22:22,760
Speaker 1: the next holly tree on high ground that's where it's scraping.

456
00:22:22,800 --> 00:22:25,440
Speaker 1: It's like twenty yards away, um, which is kind of

457
00:22:25,520 --> 00:22:28,399
Speaker 1: nice because it's a better advantage for me getting in

458
00:22:28,480 --> 00:22:31,000
Speaker 1: and out of that piece actually, So I got a

459
00:22:31,000 --> 00:22:33,000
Speaker 1: good chance of seeing a good deer in that one.

460
00:22:33,400 --> 00:22:36,679
Speaker 1: So when you're so, when you're uh, like, conditions change

461
00:22:36,720 --> 00:22:39,679
Speaker 1: like that, change like that so much? Um does it?

462
00:22:39,720 --> 00:22:42,280
Speaker 1: I mean is it pretty much? Just? Is it? You

463
00:22:42,359 --> 00:22:44,240
Speaker 1: rely on just getting in the woods and tear it

464
00:22:44,320 --> 00:22:46,359
Speaker 1: up during the season. Are you relying on past boot

465
00:22:46,359 --> 00:22:48,560
Speaker 1: scouting or you know, how does that look? Or are

466
00:22:48,560 --> 00:22:51,680
Speaker 1: you map scouting that stuff too? Or what? Mike sure

467
00:22:51,680 --> 00:22:54,920
Speaker 1: of everything? You know? Cameras my time in the woods. Uh,

468
00:22:54,960 --> 00:22:57,119
Speaker 1: I mean you can run a thousand cameras if you

469
00:22:57,160 --> 00:23:00,000
Speaker 1: can't decipe to the deer side when you're walking in Uh,

470
00:23:00,040 --> 00:23:01,840
Speaker 1: the timera think going to help you, because I call

471
00:23:01,880 --> 00:23:03,359
Speaker 1: it you a death by data. You can have too

472
00:23:03,440 --> 00:23:06,080
Speaker 1: much data. You overthink everything. So you just need to

473
00:23:06,480 --> 00:23:09,840
Speaker 1: you need to know this week of October scrapes they

474
00:23:09,840 --> 00:23:14,159
Speaker 1: start daywalking and you go sohanto scrapes and halftime you

475
00:23:14,160 --> 00:23:16,240
Speaker 1: don't see anything. But when you do see something usually

476
00:23:16,240 --> 00:23:18,680
Speaker 1: it's a really good dear. So it's a mixture of both.

477
00:23:18,680 --> 00:23:21,000
Speaker 1: I use the trail camera stuff and I look at

478
00:23:21,000 --> 00:23:22,919
Speaker 1: the moon and wind and stuff. Like that, but I

479
00:23:22,960 --> 00:23:25,399
Speaker 1: try not get too bogged down with the data. I

480
00:23:25,400 --> 00:23:27,640
Speaker 1: think you will definitely for me, I'm not. I can't

481
00:23:27,640 --> 00:23:29,560
Speaker 1: process that too much data, Like I'll just go and

482
00:23:29,560 --> 00:23:31,520
Speaker 1: saying think about everything I don't need to be thinking

483
00:23:31,560 --> 00:23:36,000
Speaker 1: about and a second guess every move. So yeah, there's

484
00:23:36,040 --> 00:23:39,040
Speaker 1: like a moon thing where you could definitely get bogged

485
00:23:39,040 --> 00:23:42,160
Speaker 1: down on that. But it's interesting to me. And if

486
00:23:42,320 --> 00:23:45,600
Speaker 1: I know you and you you know back this up.

487
00:23:45,760 --> 00:23:48,000
Speaker 1: So if you could just give us high level like

488
00:23:48,160 --> 00:23:51,000
Speaker 1: your thoughts on the moon, like what's like the thing

489
00:23:51,200 --> 00:23:52,840
Speaker 1: if you're gonna pick out like okay, if you're just

490
00:23:52,840 --> 00:23:54,560
Speaker 1: gonna barely pay attention to the moon, look for this,

491
00:23:54,640 --> 00:23:58,639
Speaker 1: what would it be? It's first light, last light? Um,

492
00:23:58,800 --> 00:24:02,000
Speaker 1: the middle of October seems to be like the fifteen

493
00:24:02,080 --> 00:24:08,119
Speaker 1: through first light, last light, the first hour of light. Uh,

494
00:24:08,160 --> 00:24:12,840
Speaker 1: the red underfoot matching, Um, your red underfoot first light

495
00:24:13,119 --> 00:24:15,640
Speaker 1: got you? So you're sinking that up? Yeah? So so

496
00:24:15,880 --> 00:24:19,240
Speaker 1: A you want the sun to be like ninety degrees

497
00:24:19,359 --> 00:24:22,040
Speaker 1: from the moon pretty much if you can do that, yeah, yeah,

498
00:24:22,080 --> 00:24:26,840
Speaker 1: directly overhead, directly underfoot. Um, And I've had success, you know,

499
00:24:27,000 --> 00:24:29,040
Speaker 1: the early am like seven am. If you get those

500
00:24:29,080 --> 00:24:31,680
Speaker 1: things to match up first light in the first hour,

501
00:24:31,840 --> 00:24:36,200
Speaker 1: so overhead or underfoot, I seem to get they're coming

502
00:24:36,240 --> 00:24:39,639
Speaker 1: back to bed later, bigger dear. Yeah, And I don't like,

503
00:24:40,119 --> 00:24:43,520
Speaker 1: I'm not just they it's been deep a hun times,

504
00:24:43,560 --> 00:24:45,719
Speaker 1: but I know a lot of my dear have been

505
00:24:45,800 --> 00:24:48,680
Speaker 1: killed on those mornings hunting beds close to bedding. Well,

506
00:24:48,680 --> 00:24:50,439
Speaker 1: so I was like, well, I'm gonna go with what

507
00:24:50,480 --> 00:24:52,800
Speaker 1: works for me. Yeah, Well, you mentioned time period that

508
00:24:52,880 --> 00:24:55,240
Speaker 1: is coming up to be that. So if you're looking

509
00:24:55,280 --> 00:24:57,679
Speaker 1: forward as to like, you know what you think the

510
00:24:57,760 --> 00:25:00,760
Speaker 1: next week will be in the deer woods for buck movement,

511
00:25:00,800 --> 00:25:04,320
Speaker 1: what would you think that that's gonna look like? I think, um,

512
00:25:04,320 --> 00:25:07,000
Speaker 1: it's been a slow start here in Jersey, um as

513
00:25:07,359 --> 00:25:09,960
Speaker 1: in my buddy and Delaware is the same thing. Um

514
00:25:10,160 --> 00:25:11,720
Speaker 1: script is kind of hot, kind of died off, and

515
00:25:11,800 --> 00:25:14,720
Speaker 1: use when it happens we get around the eighteenth of October,

516
00:25:14,800 --> 00:25:17,800
Speaker 1: it's gonna just really it's gonna be like a light switch. Uh.

517
00:25:18,200 --> 00:25:20,159
Speaker 1: And like this week, I think choosing winds that we've

518
00:25:20,160 --> 00:25:22,040
Speaker 1: got some cold weather, so I think you're going to

519
00:25:22,119 --> 00:25:25,080
Speaker 1: see a lot more daylight movement. These bucks find out

520
00:25:25,080 --> 00:25:26,680
Speaker 1: where the does are find out where the feet are,

521
00:25:26,880 --> 00:25:29,720
Speaker 1: you know, and and does a buck say, might not

522
00:25:29,800 --> 00:25:32,239
Speaker 1: be showing you you haven't seen it, just pop up

523
00:25:32,280 --> 00:25:34,680
Speaker 1: for a few days and be gone. So it's a

524
00:25:34,720 --> 00:25:36,440
Speaker 1: good time to be in the week, the time to

525
00:25:36,480 --> 00:25:38,680
Speaker 1: be in the woods. Yes, sir, so buck movement one

526
00:25:38,720 --> 00:25:41,280
Speaker 1: to ten. If you had to rate it next week,

527
00:25:41,320 --> 00:25:44,520
Speaker 1: I'm gonna give it a six killing six man. That's

528
00:25:44,520 --> 00:25:46,720
Speaker 1: good man. I get sixty percent of the time. It

529
00:25:46,800 --> 00:25:52,440
Speaker 1: works every time. Alright, man, well thanks for doing this. Yeah, man,

530
00:26:07,640 --> 00:26:09,680
Speaker 1: all right, right here on the phone, I've got Mark

531
00:26:09,720 --> 00:26:13,800
Speaker 1: OLiS He's from Moultrie Mobile and he's out in Alabama. Mark,

532
00:26:13,840 --> 00:26:16,080
Speaker 1: you've been hunting a little bit. You'll just open the season, right.

533
00:26:16,840 --> 00:26:21,560
Speaker 1: We just started Saturday was our archery opener. Uh and

534
00:26:21,680 --> 00:26:24,199
Speaker 1: it it was hot. It was in the eighties. Uh

535
00:26:24,720 --> 00:26:27,040
Speaker 1: and and we're one of the you know, last states

536
00:26:27,119 --> 00:26:30,439
Speaker 1: to open. So we're always sitting here so anxious for season.

537
00:26:30,520 --> 00:26:33,560
Speaker 1: As with social media, we see all our buddies out hunting,

538
00:26:33,640 --> 00:26:35,480
Speaker 1: you know, for a month and a half sooner. So

539
00:26:36,080 --> 00:26:38,200
Speaker 1: it was awesome to get in the woods. And and

540
00:26:38,760 --> 00:26:41,520
Speaker 1: you know, I was able to harvest a dough so

541
00:26:41,680 --> 00:26:44,120
Speaker 1: that that's part of our management plan. And it's it's

542
00:26:44,200 --> 00:26:47,400
Speaker 1: meeting the freezer. So I had a good weekend. That's awesome, dude. Yeah,

543
00:26:47,440 --> 00:26:49,800
Speaker 1: it's always I don't know, dude, I can shoot a

544
00:26:49,840 --> 00:26:53,200
Speaker 1: dough and still just be juiced. Man. It's like there's

545
00:26:53,240 --> 00:26:56,119
Speaker 1: something about that moment of truth I guess they call it.

546
00:26:56,240 --> 00:26:59,560
Speaker 1: But when you shoot something, you know, it's a it's

547
00:26:59,560 --> 00:27:01,440
Speaker 1: a power ful thing. Man. You're taking the life of

548
00:27:01,560 --> 00:27:03,600
Speaker 1: something and you don't want to mess it up, and

549
00:27:03,640 --> 00:27:05,080
Speaker 1: you don't you want it to be quick and ethical,

550
00:27:05,160 --> 00:27:07,639
Speaker 1: and there's so many different variables. So I'm glad you

551
00:27:07,720 --> 00:27:10,560
Speaker 1: got to do that. Um. Absolutely, you know with that,

552
00:27:11,119 --> 00:27:13,720
Speaker 1: why do you guys open so late? Is it because

553
00:27:13,760 --> 00:27:17,359
Speaker 1: of different ruts and stuff like that? Yeah, so you

554
00:27:17,480 --> 00:27:20,400
Speaker 1: know that's our season. So our rut is so late

555
00:27:20,840 --> 00:27:23,399
Speaker 1: in the state as a whole. Um, we do have

556
00:27:23,640 --> 00:27:27,040
Speaker 1: various rut dates throughout the state, but for the for

557
00:27:27,119 --> 00:27:29,960
Speaker 1: the majority of the state, you're looking at uh a

558
00:27:30,160 --> 00:27:34,560
Speaker 1: late December through January rut. Um. So it's a super

559
00:27:34,680 --> 00:27:38,600
Speaker 1: late rut right now. Our deer are totally in an

560
00:27:38,640 --> 00:27:42,200
Speaker 1: early season pattern. Um. And and in fact, you know,

561
00:27:42,520 --> 00:27:45,159
Speaker 1: we still got deer that that are clinging to to

562
00:27:45,400 --> 00:27:48,160
Speaker 1: velvet and it also has to do with our falling drop.

563
00:27:48,240 --> 00:27:51,280
Speaker 1: Our our fawn drop is is later. You know, it's

564
00:27:51,320 --> 00:27:55,480
Speaker 1: more in endo July into August, so it allows those

565
00:27:55,720 --> 00:27:58,840
Speaker 1: um fawns to grow more and and and everything like that.

566
00:27:59,080 --> 00:28:02,400
Speaker 1: So yeah, it's all a biological reason. Man. That's cool.

567
00:28:02,520 --> 00:28:05,720
Speaker 1: It's it's super interesting. I'm I'm gonna have to swing

568
00:28:05,760 --> 00:28:07,560
Speaker 1: out there at some point, you know, in the next

569
00:28:07,600 --> 00:28:10,440
Speaker 1: couple of years, if not this year too, to check

570
00:28:10,520 --> 00:28:12,960
Speaker 1: that out. You know that late rut stuff. Now you

571
00:28:13,040 --> 00:28:16,160
Speaker 1: guys are you said you're in a preseason kind of pattern. Um,

572
00:28:17,000 --> 00:28:20,760
Speaker 1: so how did you kill this dough? And you know,

573
00:28:20,880 --> 00:28:23,440
Speaker 1: is it the same type of tactics you would use

574
00:28:23,760 --> 00:28:27,560
Speaker 1: if you were trying to shoot a nice buck? Yeah,

575
00:28:27,720 --> 00:28:31,399
Speaker 1: so it can be so right now, the pattern is

576
00:28:31,680 --> 00:28:34,520
Speaker 1: you know, food cover. That's that's what the deer doing

577
00:28:34,960 --> 00:28:39,560
Speaker 1: bucks and does. Um. And so this particular set up, Um,

578
00:28:39,800 --> 00:28:43,040
Speaker 1: it wasn't a really good wind, but uh we we

579
00:28:43,160 --> 00:28:45,640
Speaker 1: just put a built a shooting house in this spot

580
00:28:46,160 --> 00:28:48,960
Speaker 1: last year and it's so we're able to close the

581
00:28:49,040 --> 00:28:51,640
Speaker 1: windows and everything. So that's what I did. I didn't

582
00:28:51,640 --> 00:28:53,760
Speaker 1: have a great wind. I closed the windows. It was

583
00:28:53,800 --> 00:28:56,959
Speaker 1: probably like eighty degrees and We had a feeder up

584
00:28:57,040 --> 00:29:00,120
Speaker 1: in our food plot is also just starting to come up.

585
00:29:00,160 --> 00:29:02,720
Speaker 1: We planted a couple of weeks ago, so they are

586
00:29:02,880 --> 00:29:05,920
Speaker 1: starting to target and hit those food plot sources. But

587
00:29:06,400 --> 00:29:08,960
Speaker 1: we had a feeder set up and and those deer

588
00:29:09,120 --> 00:29:11,720
Speaker 1: came in. We're coming to that feeder. They fed around

589
00:29:11,760 --> 00:29:14,280
Speaker 1: a little bit, and you know, I was able to

590
00:29:14,360 --> 00:29:17,520
Speaker 1: open the window right before I needed to make the shot,

591
00:29:17,760 --> 00:29:21,120
Speaker 1: so I didn't get my sin out there. So the

592
00:29:21,200 --> 00:29:24,040
Speaker 1: whole plan worked well, even though it wasn't an ideal

593
00:29:24,160 --> 00:29:26,520
Speaker 1: set up. Yeah, what kind of what kind of food

594
00:29:26,680 --> 00:29:29,280
Speaker 1: you got in the food plot? So we've got a

595
00:29:29,440 --> 00:29:33,440
Speaker 1: mixture of We've got oats, we've got triticale, we've got

596
00:29:34,000 --> 00:29:38,600
Speaker 1: some peas, We've got various clovers. We've got some radishes

597
00:29:38,720 --> 00:29:41,760
Speaker 1: in there. And I mean that stuff is all about

598
00:29:42,200 --> 00:29:46,160
Speaker 1: two inches three inches now coming up. I mean it's

599
00:29:46,200 --> 00:29:49,760
Speaker 1: that succulent new growth and they're really mowing on it.

600
00:29:49,920 --> 00:29:53,560
Speaker 1: Cool man. So you know, being from multimobile, I imagine

601
00:29:53,600 --> 00:29:56,240
Speaker 1: you've got a lot of cameras out. Are you seeing

602
00:29:56,280 --> 00:29:59,840
Speaker 1: bucks in daylight right now? So what I'm seeing right

603
00:30:00,040 --> 00:30:03,280
Speaker 1: out is kind of what you'd expect to see. It's

604
00:30:03,400 --> 00:30:06,360
Speaker 1: it's the younger bucks. I'm seeing one and a half

605
00:30:06,440 --> 00:30:08,640
Speaker 1: year old two and a half year old bucks. Um,

606
00:30:09,120 --> 00:30:13,840
Speaker 1: they are on a heavy, very predictable pattern, hitting feeders,

607
00:30:13,920 --> 00:30:16,560
Speaker 1: hitting food plots. They're out in the morning, they're out

608
00:30:16,600 --> 00:30:21,040
Speaker 1: in the afternoon, plenty of daylight. Um. The mature dear, Yeah,

609
00:30:21,160 --> 00:30:24,280
Speaker 1: I am not seeing any daylight activity. It's all the

610
00:30:24,360 --> 00:30:27,720
Speaker 1: middle of the night, very late. Um. You know, even

611
00:30:27,800 --> 00:30:30,560
Speaker 1: a couple hours after dark starting to see those. But

612
00:30:30,800 --> 00:30:34,680
Speaker 1: I'm not seeing any daylight activity. Sure, I got you. Okay,

613
00:30:35,240 --> 00:30:38,120
Speaker 1: that's good to know. So um with that, if you

614
00:30:38,200 --> 00:30:43,120
Speaker 1: were hunting mature bucks in the next week, First of all,

615
00:30:43,160 --> 00:30:46,000
Speaker 1: I'd like to know based off weather patterns, moon, uh,

616
00:30:46,400 --> 00:30:49,880
Speaker 1: time of year, um, all these different things that you

617
00:30:49,920 --> 00:30:52,360
Speaker 1: would factor in. Hey, I'd like to know what you

618
00:30:52,680 --> 00:30:55,520
Speaker 1: what you kind of hYP hypothetical, what you think on

619
00:30:55,600 --> 00:30:58,160
Speaker 1: a scale of one to ten, the buck movement will

620
00:30:58,200 --> 00:31:00,640
Speaker 1: be like. And then also i'd like to you tell

621
00:31:00,680 --> 00:31:05,360
Speaker 1: me how you would go about uh finding a mature buck. Well,

622
00:31:05,560 --> 00:31:08,880
Speaker 1: I'll tell you. So if for next week it's it's

623
00:31:08,960 --> 00:31:12,320
Speaker 1: looking not very good. Um. And this time of year,

624
00:31:12,360 --> 00:31:15,080
Speaker 1: I go a lot off of the weather that dictates

625
00:31:15,120 --> 00:31:17,920
Speaker 1: so much. We have a big cold front coming in tonight.

626
00:31:18,080 --> 00:31:20,280
Speaker 1: If you were hunting in the next couple of days, man,

627
00:31:20,360 --> 00:31:23,360
Speaker 1: you're gonna get some good cold weather. I bet the

628
00:31:23,480 --> 00:31:25,880
Speaker 1: bucks are gonna be on their feet more so I'll

629
00:31:25,920 --> 00:31:28,480
Speaker 1: be interested to see that on camera. But next week

630
00:31:28,920 --> 00:31:32,320
Speaker 1: it's gonna be upper seventies to eighty. Later in the

631
00:31:32,400 --> 00:31:35,320
Speaker 1: week it's gonna be very hot. And and to be

632
00:31:35,520 --> 00:31:38,360
Speaker 1: perfectly honest, if you do have an area where there's

633
00:31:38,400 --> 00:31:42,240
Speaker 1: a mature buck and and you know, it may be

634
00:31:42,400 --> 00:31:45,280
Speaker 1: better to stay out of there and wait for better conditions,

635
00:31:45,400 --> 00:31:49,080
Speaker 1: because there's a high probability of really boogering up a

636
00:31:49,160 --> 00:31:51,240
Speaker 1: stand right now, and you don't want to bump that

637
00:31:51,360 --> 00:31:54,680
Speaker 1: buck somewhere else. So I would I would tell guys

638
00:31:54,720 --> 00:31:58,440
Speaker 1: in this area be leary about your spot. Unless you

639
00:31:58,560 --> 00:32:01,800
Speaker 1: can sneez you can sneak out, and you've got the

640
00:32:01,920 --> 00:32:06,280
Speaker 1: perfect win. Otherwise, I just don't think the daylight movement

641
00:32:06,400 --> 00:32:08,400
Speaker 1: is going to be very good on mature bucks in

642
00:32:08,440 --> 00:32:11,280
Speaker 1: the next week. Sure, so, uh, those are wise words

643
00:32:11,320 --> 00:32:13,920
Speaker 1: for one scale of one to ten buck movement in

644
00:32:13,960 --> 00:32:18,400
Speaker 1: the next week. Gosh, mature bucks, I mean three, I

645
00:32:18,440 --> 00:32:23,080
Speaker 1: mean it's I feel pretty pretty low about mature buck movement.

646
00:32:23,200 --> 00:32:25,840
Speaker 1: Next week. And and it's because of the early season.

647
00:32:26,200 --> 00:32:28,760
Speaker 1: We have no rut activity here at this time like

648
00:32:28,880 --> 00:32:31,560
Speaker 1: the rest of the country. Um. And and it's gonna

649
00:32:31,600 --> 00:32:33,680
Speaker 1: be hot. Yeah yeah, those are I mean, that's a

650
00:32:33,720 --> 00:32:37,000
Speaker 1: good number, realistic, man. We we appreciate that. We appreciate

651
00:32:37,080 --> 00:32:39,840
Speaker 1: you hopping on giving us the rundown on Alabama. Uh.

652
00:32:40,000 --> 00:32:42,880
Speaker 1: Maybe later this year into December area, when that rut

653
00:32:43,040 --> 00:32:44,440
Speaker 1: kicks off, we might have to have you back on

654
00:32:44,560 --> 00:32:46,680
Speaker 1: to talk about how those bucks are moving more on

655
00:32:46,720 --> 00:32:49,160
Speaker 1: a seven or eight scale. So I appreciate you, Mark,

656
00:32:49,240 --> 00:32:51,760
Speaker 1: and uh, I hope the best for you this season. Hey,

657
00:32:51,880 --> 00:32:56,280
Speaker 1: thanks a lot, same to you. We appreciate it all. Right.

658
00:32:56,320 --> 00:32:59,600
Speaker 1: Now on the phone, we've got Nate Crick from Identical Draw. Dude,

659
00:33:00,200 --> 00:33:02,840
Speaker 1: what's going on right now? You're in the truck. I'm

660
00:33:02,880 --> 00:33:05,080
Speaker 1: in the truck. I'm driving through the great state of Kansas.

661
00:33:05,440 --> 00:33:08,400
Speaker 1: Um Man, it's uh, it's starting to get real good.

662
00:33:08,480 --> 00:33:10,239
Speaker 1: So we're Thomas and I are trying to spend as

663
00:33:10,320 --> 00:33:14,240
Speaker 1: much time in the field as possible. That's exciting. So, uh,

664
00:33:14,760 --> 00:33:16,840
Speaker 1: starting to get real good. So I guess you've been

665
00:33:17,640 --> 00:33:21,240
Speaker 1: been all up in them lately. Huh yeah, oh yeah, yeah,

666
00:33:21,360 --> 00:33:24,960
Speaker 1: we uh just got back from South Dakota last week

667
00:33:25,000 --> 00:33:28,960
Speaker 1: and had a super successful hunt, one of our probably

668
00:33:29,240 --> 00:33:33,480
Speaker 1: top three or top five public land hunts ever, which

669
00:33:33,520 --> 00:33:35,760
Speaker 1: is saying a lot like we were pretty covered up

670
00:33:35,760 --> 00:33:37,800
Speaker 1: in Deeter. So it was awesome. Man, that's cool. You

671
00:33:37,920 --> 00:33:40,000
Speaker 1: end up, was it you or Tom that killed one?

672
00:33:40,560 --> 00:33:43,400
Speaker 1: It was me? It was it was me day two? Yeah,

673
00:33:43,480 --> 00:33:46,560
Speaker 1: we uh man, it was It was an awesome home

674
00:33:47,160 --> 00:33:49,560
Speaker 1: in this In this one piece of public we spotted like,

675
00:33:50,360 --> 00:33:54,239
Speaker 1: I don't know, probably five or six shooters and uh,

676
00:33:54,880 --> 00:34:00,320
Speaker 1: eventually in the evening I was able to sneak into

677
00:34:00,840 --> 00:34:03,440
Speaker 1: range of two white tails. One of them was a shooter,

678
00:34:03,520 --> 00:34:05,960
Speaker 1: one of them was kind of young. Um, and yeah,

679
00:34:05,960 --> 00:34:08,319
Speaker 1: I was in this this bottom of this draw, uh

680
00:34:08,719 --> 00:34:11,319
Speaker 1: and made it happen. So it was it was an

681
00:34:11,360 --> 00:34:14,040
Speaker 1: exciting hunt. That's awesome to congrats on that, And uh,

682
00:34:14,960 --> 00:34:17,799
Speaker 1: I'm interested in and you know, learning a little more

683
00:34:18,960 --> 00:34:22,080
Speaker 1: about kind of what you were focused on. I know,

684
00:34:22,719 --> 00:34:24,480
Speaker 1: you know, at any time you can randomly see a

685
00:34:24,560 --> 00:34:27,560
Speaker 1: deer and and go, um, you know, stalk up on him.

686
00:34:27,600 --> 00:34:29,760
Speaker 1: But I'm sure you're in the area for a reason.

687
00:34:29,880 --> 00:34:34,719
Speaker 1: What is that? Yeah, So basically the wind last week

688
00:34:34,880 --> 00:34:38,440
Speaker 1: was insane. We were dealing with like gusts of like

689
00:34:38,600 --> 00:34:42,000
Speaker 1: for like insane, Like we were both hunting in that

690
00:34:42,080 --> 00:34:43,719
Speaker 1: and like most of the time a lot of the

691
00:34:43,800 --> 00:34:46,080
Speaker 1: train like we couldn't even shoot it with our our

692
00:34:46,120 --> 00:34:51,800
Speaker 1: tree equipment corners. Yeah, what we were looking for was

693
00:34:52,360 --> 00:34:54,719
Speaker 1: like hills that and draws that would keep the deer

694
00:34:54,719 --> 00:34:57,560
Speaker 1: out of the wind. So the wind was out of

695
00:34:57,600 --> 00:35:00,480
Speaker 1: the west um, and so we're looking we kind of

696
00:35:00,920 --> 00:35:03,320
Speaker 1: kind of those like uh, east facing hills where we

697
00:35:03,400 --> 00:35:04,800
Speaker 1: knew that they kind of be tucked in there just

698
00:35:04,920 --> 00:35:07,720
Speaker 1: like basically out of the wind um and deep draws

699
00:35:07,800 --> 00:35:10,800
Speaker 1: and that's exactly where we found a deer. So hunting

700
00:35:10,800 --> 00:35:14,600
Speaker 1: in those like hunting and our winds like sucks so bad.

701
00:35:15,120 --> 00:35:17,400
Speaker 1: But man, if you can like the deer in like

702
00:35:17,640 --> 00:35:20,719
Speaker 1: very very predictable spots. So yeah, we we focused on

703
00:35:20,800 --> 00:35:23,160
Speaker 1: those deep draws, and like literally every time we found

704
00:35:23,239 --> 00:35:25,880
Speaker 1: like similar stuff like that, man, we were we were

705
00:35:25,880 --> 00:35:28,040
Speaker 1: finding deer pretty fast. And that's that's a good point.

706
00:35:28,080 --> 00:35:31,000
Speaker 1: You know, anytime there's there's some kind of like outrageous condition,

707
00:35:31,480 --> 00:35:35,480
Speaker 1: it kind of like it kind of for instance, like

708
00:35:35,719 --> 00:35:39,040
Speaker 1: here locally we've got uh, we're in a pretty bad drought,

709
00:35:39,200 --> 00:35:40,560
Speaker 1: and so we had we know, one of the best

710
00:35:40,600 --> 00:35:44,680
Speaker 1: bass lakes in the country locally, and you know, technically

711
00:35:44,760 --> 00:35:47,000
Speaker 1: there's a lot less places for these fish to hide,

712
00:35:47,200 --> 00:35:49,160
Speaker 1: so you know, and so that that's kind of one

713
00:35:49,160 --> 00:35:50,960
Speaker 1: of those things like you know, you can actually be

714
00:35:51,040 --> 00:35:52,799
Speaker 1: successful if you get out there and do it same

715
00:35:52,960 --> 00:35:55,040
Speaker 1: same thing on you know, fishing on windy days and

716
00:35:55,080 --> 00:35:57,440
Speaker 1: stuff like that. Like you're talking about hunting, So that's

717
00:35:57,480 --> 00:36:00,520
Speaker 1: pretty interesting. Now if you were if you up there

718
00:36:00,880 --> 00:36:03,480
Speaker 1: like saying this next week, um, what would you be

719
00:36:03,560 --> 00:36:06,480
Speaker 1: focused on? Uh, just say the wind was out of

720
00:36:06,520 --> 00:36:09,920
Speaker 1: the out of the mix here, Yeah, I would be

721
00:36:09,960 --> 00:36:12,920
Speaker 1: focused on some pretty similar things, but I'd honestly be

722
00:36:13,280 --> 00:36:15,520
Speaker 1: doing a lot more I don't know, we were doing

723
00:36:15,520 --> 00:36:18,600
Speaker 1: a lot of glassing and scouting that way, but I'd

724
00:36:18,640 --> 00:36:20,720
Speaker 1: be doing probably a lot more boots in the ground

725
00:36:20,880 --> 00:36:24,120
Speaker 1: and like fresh sign, which we do still quite a bit,

726
00:36:24,200 --> 00:36:26,279
Speaker 1: but like, I mean, you're gonna have bucks starting to

727
00:36:26,360 --> 00:36:28,960
Speaker 1: get pretty amped up doing a lot of scrapes and stuff. Um,

728
00:36:29,560 --> 00:36:31,440
Speaker 1: and in this area we're hunting like a lot of

729
00:36:31,520 --> 00:36:32,880
Speaker 1: the white tail stuff. So I'd be looking for a

730
00:36:32,960 --> 00:36:35,080
Speaker 1: lot of those that that sign kind of stuff and

731
00:36:35,120 --> 00:36:39,360
Speaker 1: then just expecting buck movement to increase and just for

732
00:36:39,480 --> 00:36:42,000
Speaker 1: them to start moving like just a lot more in

733
00:36:42,120 --> 00:36:44,719
Speaker 1: daylight and stuff. I would be just hunting more predictable

734
00:36:45,440 --> 00:36:48,279
Speaker 1: um DAWs and like travel areas where like you know

735
00:36:48,320 --> 00:36:50,680
Speaker 1: those bucks are gonna start to kind of being interested

736
00:36:50,840 --> 00:36:53,000
Speaker 1: and like moving a lot more and just those It's

737
00:36:53,040 --> 00:36:54,800
Speaker 1: not like it's not full on the Vember up, but

738
00:36:54,800 --> 00:36:56,960
Speaker 1: i'd be like kind of starting to tone in on

739
00:36:57,040 --> 00:36:59,200
Speaker 1: some of those travel apps. Sure, yeah, that makes sense.

740
00:36:59,239 --> 00:37:01,799
Speaker 1: I got you. So, uh, scale of one to ten,

741
00:37:02,280 --> 00:37:06,520
Speaker 1: what do you assume buck movement's gonna be like next week? Man?

742
00:37:06,920 --> 00:37:11,600
Speaker 1: I would uh, I would assume it's probably whether it's

743
00:37:11,640 --> 00:37:14,840
Speaker 1: like like moderately good. Nothing I can say, but I

744
00:37:14,880 --> 00:37:16,759
Speaker 1: got to give it a six out of ten at

745
00:37:16,840 --> 00:37:20,160
Speaker 1: least like it's over. So like i'd be I would

746
00:37:20,200 --> 00:37:22,440
Speaker 1: be like looking forward to on that again. I mean

747
00:37:22,760 --> 00:37:25,560
Speaker 1: right now actually they like we have seriously like good

748
00:37:25,800 --> 00:37:28,200
Speaker 1: cold leather, but um yeah, I mean it's gonna be

749
00:37:28,520 --> 00:37:30,759
Speaker 1: It's gonna be fine. Sometimes I feel like people give

750
00:37:30,800 --> 00:37:32,920
Speaker 1: this time in October kind of a rough go, but man,

751
00:37:33,239 --> 00:37:34,600
Speaker 1: it is one of my favorite times to get in

752
00:37:34,640 --> 00:37:37,080
Speaker 1: the world. That's good man. We've had some very very

753
00:37:37,160 --> 00:37:39,919
Speaker 1: much realistic people on this podcast so far this week,

754
00:37:39,960 --> 00:37:42,640
Speaker 1: and uh, I appreciate that realism. I appreciate what you

755
00:37:42,680 --> 00:37:45,040
Speaker 1: guys do, the messaging, you guys do, what you attempt

756
00:37:45,080 --> 00:37:47,880
Speaker 1: to do with helping people out here maybe not as

757
00:37:47,920 --> 00:37:51,680
Speaker 1: privileged as you guys. And yeah, man keep going, man,

758
00:37:52,200 --> 00:37:54,120
Speaker 1: get after this season. I hope the rut goes well

759
00:37:54,200 --> 00:37:56,919
Speaker 1: for you and we'll be talking to you sing. Yeah, thanks, Tyler,

760
00:37:56,960 --> 00:38:01,200
Speaker 1: appreciate it well if it's em Old Mark Kenyon believes

761
00:38:01,200 --> 00:38:04,239
Speaker 1: in the October law. According to a recent headline from

762
00:38:04,239 --> 00:38:06,520
Speaker 1: an article on Wired to Hunt website, Tony has been

763
00:38:06,520 --> 00:38:08,600
Speaker 1: writing some good articles over there as well about calling

764
00:38:08,640 --> 00:38:11,040
Speaker 1: and hunting public land on our end. You should see

765
00:38:11,040 --> 00:38:13,080
Speaker 1: our dude hunter Dickens get a shot at the South

766
00:38:13,160 --> 00:38:16,200
Speaker 1: Dakota public Land toad on our YouTube channel this week.

767
00:38:16,280 --> 00:38:18,920
Speaker 1: So go check all these out. This has been rough, fresh,

768
00:38:19,200 --> 00:38:20,080
Speaker 1: Keep fresh, y'all,