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Speaker 1: Welcome to Wired to Hunt's rut Fresh Radio, bringing you

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Speaker 1: the latest reports from the whitetail Woods, presented by First Light,

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Speaker 1: creating proven versatile hunting apparel for the stand, saddle or blind.

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Speaker 1: First Light Go farther, stay longer, and now your hosts

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Speaker 1: Case Smith and Tyler Jones.

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Speaker 2: This is rutfresh, brought to you by First Light Gear.

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Speaker 2: A cold front has blitzed through most of the country.

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Speaker 2: Lots of bucks are going down. But is it just

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Speaker 2: because of the increase in hunters in the field. Is

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Speaker 2: the rut actually happening? Our guests give you their thoughts today.

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Speaker 2: This is rutfresh. Let's go Welcome to rutfresh Radio. This

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Speaker 2: is Tyler Jones, your host, and on the line. I've

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Speaker 2: got ca C Smith the other host, the dude that

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Speaker 2: is like a long ways from me right now. Case

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Speaker 2: you're up in South Coda. It's been a crazy cold

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Speaker 2: front across the country. What are the temperatures like up there?

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Speaker 3: It is as cold as I have ever hunted, if

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Speaker 3: you consider like Winchy on stuff. We're going straight Alex

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Speaker 3: Comstock on this thing. You know, I don't know what

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Speaker 3: they are, but it's like in the mornings now We've

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Speaker 3: had one warmer day, but for the most part in

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Speaker 3: the mornings it's seventeen and the wind is blowing fourteen

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Speaker 3: to nineteen something like that.

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Speaker 4: It's very cold, very cold.

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Speaker 3: And then somewhere yeah, like it's it's bad, but I

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Speaker 3: considered it pure joy, man, you know what I mean.

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Speaker 3: It's just it's just a good thing. It's it's makes

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Speaker 3: you tough. Michael says, it makes your testosterone higher.

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Speaker 2: You know, really, is that a real thing or is

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Speaker 2: that just what people from Ohio like to say about themselves.

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Speaker 2: I don't know that.

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Speaker 3: Well. I think it's just more like doing hard things,

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Speaker 3: which probably does help. Well, speaking of hard things, man,

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Speaker 3: I want to I want to say something right quick.

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Speaker 5: You called me a host logo, but this week I

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Speaker 5: am not.

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Speaker 3: You are doing all this stuff yourself, and I just

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Speaker 3: want people to know I'm thankful appreciate the help with

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Speaker 3: this because I'm I'm doing some hunting and I'm getting

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Speaker 3: to concentrate on that and it's a huge help for me.

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Speaker 4: And the element just wouldn't go if you weren't around.

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Speaker 4: So we're all thankful for you.

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Speaker 2: Well, I appreciate it, man, but yeah, it takes all

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Speaker 2: of us man. I mean it takes you know, there

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Speaker 2: there's like five of us and and that that runs

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Speaker 2: the Element and Wired to Hunt and part of Meat

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Speaker 2: Eater and everything. You wouldn't know it, but it is,

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Speaker 2: you know. So it's a lot of work and I'm

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Speaker 2: I'm glad to be able to do it, but you know,

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Speaker 2: I really am starting to get the FOMO real bad

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Speaker 2: right now, because.

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Speaker 3: I bet the cold front's been kind of just pushing

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Speaker 3: through the country and giants are dropping.

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Speaker 2: Well, and just so you know, the retfresh guests were

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Speaker 2: actually pretty hard to get this week because everybody and

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Speaker 2: their mom is in Iowa this week. It's I don't

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Speaker 2: know if I've seen anybody that wasn't in Iowa this

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Speaker 2: week here hardly. I mean, it's just ridiculous. Like I'm

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Speaker 2: sitting there going through stories on Instagram, like, man, here's

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Speaker 2: my friends. Now this guy he's from like Illinois, He's going, Nope,

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Speaker 2: he's in Iowa this week. Okay, Well this guy's from Michigan. Well, no,

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Speaker 2: he's in Iowa this week. Well It's just like, dude,

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Speaker 2: I don't know, it's it is. I mean, there's got

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Speaker 2: to be some sort of convention going on there. Or something.

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Speaker 4: Imagine it's the Convention, for sure.

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Speaker 6: It is.

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Speaker 2: You know. In fact, I've got a buddy that's on

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Speaker 2: this this ret fresh episode, Anthony Warren, to kill the

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Speaker 2: giant there, and you know he would attribute a lot

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Speaker 2: of this daylight movement and that daylight movement in particular too.

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Speaker 2: This cold front that's pretty well timed, but as you

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Speaker 2: and I discussed today, probably not the perfect cold front,

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Speaker 2: not not the best timed, right, you know, maybe November

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Speaker 2: seventh would be a better time for this cold front,

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Speaker 2: you know, but yeah, yeah, weird, we can get right.

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Speaker 3: It makes the last week October a lot better compared

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Speaker 3: to like, you know, seventies in the afternoon for last

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Speaker 3: week October.

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Speaker 4: That'd be real tough.

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Speaker 5: And as much as we want to.

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Speaker 3: Be the rut, the twenty eighth of October is a

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Speaker 3: lot different than the second of November. As weird as

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Speaker 3: it is, those are so close. But I've been seeing

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Speaker 3: it on the ground here and I know you're gonna

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Speaker 3: have the steady and true Michael Stole on here to

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Speaker 3: talk about South Dakota in a bit, so I won't

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Speaker 3: I won't ruin too much of what we have seen

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Speaker 3: from that, but I do want to just kind of

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Speaker 3: address something, and I know you'll have thoughts on this too.

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Speaker 3: The timing of the rut really does matter because things

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Speaker 3: change quite a bit from October twenty fifth until November fifth,

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Speaker 3: Like these deer go through crazy changes, you know, in

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Speaker 3: the way they're acting and all kinds of stuff. And

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Speaker 3: I think we noticed last year, and I believe we

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Speaker 3: might be in store for the same thing this year

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Speaker 3: that across the country, it's potentially going to be a

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Speaker 3: little later than what most people would anticipate being the rut,

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Speaker 3: you know, like as far as like the perceived movement

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Speaker 3: of bucks chasing does and and all that. You know,

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Speaker 3: I know that you and I in particular last year

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Speaker 3: noticed like November first through fifth of it was just

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Speaker 3: not a lot going on.

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Speaker 2: You know, why is that? Man? Why why is it?

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Speaker 2: Why does it seem like? I mean, last year there

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Speaker 2: was a lot of warm weather, and I think the

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Speaker 2: perceived rut was definitely later in that mid November cold

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Speaker 2: front that we had. But is there something changing?

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Speaker 3: I don't know, you know, it's it's interesting you bring

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Speaker 3: that up because the Julian calendar is isn't perfect, which

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Speaker 3: is what we operate on that age with actually probably

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Speaker 3: a manipulated Julian calendar. But either way, we don't have

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Speaker 3: a perfect three hundred and sixty five days every three

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Speaker 3: years and then a three hundred and sixty six day

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Speaker 3: year and the fourth you.

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Speaker 2: Know, King Julian that made that one.

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Speaker 5: Yeah, okay, mo Movid, I like the move moved.

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Speaker 3: He's like, by the way, one of the greatest cartoon

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Speaker 3: characters ever created.

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Speaker 4: Uh so.

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Speaker 5: The uh I don't.

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Speaker 3: Know, this is complete hypothesis, you know, but like what

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Speaker 3: we know of and we know this to be the

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Speaker 3: case anyways, because you know.

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Speaker 4: From year to year, specific dates change a little bit.

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Speaker 2: You know, like.

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Speaker 3: My birthday won't be on a Friday every year, right,

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Speaker 3: So that tells you that actually, you know, whatever that

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Speaker 3: date is isn't the same day every year. So November

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Speaker 3: first isn't the same day every year, right, So like

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Speaker 3: it can fluctuate. November first this year might actually be

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Speaker 3: the same day of the year, you know, if you

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Speaker 3: want to talk about photo period, right, which is what

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Speaker 3: determines the extracycle of those that might be that first

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Speaker 3: could be on the fifth on a different year. Now,

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Speaker 3: I don't think you can I don't think like the

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Speaker 3: next year it will change that much. But I'd have

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Speaker 3: to do some math and look at some stuff. But

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Speaker 3: that's just kind of my hypothesis a little bit. And

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Speaker 3: then I think, too just things are shifting. I'm not

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Speaker 3: a climate denier. I'm not a climate change believer either,

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Speaker 3: but I think that things are different in time periods.

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Speaker 3: You know, my granddad talks about a time whenever he

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Speaker 3: was a kid when he'd have to go bust ice

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Speaker 3: every morning for like sixty days during the winter for

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Speaker 3: the cows to drink.

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Speaker 2: Yeah know, and dude, I don't have that. I'll tell

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Speaker 2: you what. I went to Alaska this summer, if you know.

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Speaker 2: For those who might listen to the Element podcast, they

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Speaker 2: might know. But it made me think about some stuff

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Speaker 2: for sure, seeing those icebergs, and like you just it's

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Speaker 2: hard to deny, like the pictures from a certain spot

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Speaker 2: that like here's a picture from nineteen ninety, here's a

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Speaker 2: picture from two thousand, here's a picture from twenty thirteen,

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Speaker 2: and here's a picture. Here's what it looks like today,

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Speaker 2: you know, or whatever, and it's like, WHOA, I mean,

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Speaker 2: for sure, for sure, some different we're going through some

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Speaker 2: sort of a different weather pattern, you know what I mean.

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Speaker 2: So yeah, crazy, but yeah, I'm just kind of wondering if, like,

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Speaker 2: you know what all I guess that has to do

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Speaker 2: or I guess, let's say Iceberg. I probably should have

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Speaker 2: said glacier, but yeah, that's what I meant, was glacier. Well,

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Speaker 2: and so with my wife. But yeah, so anyway, that's

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Speaker 2: just something I noticed and I was like, man, that

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Speaker 2: there's you know, something going on. So I wonder how

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Speaker 2: that all plays into the rut. And it's definitely something interesting.

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Speaker 2: And this is why, you know, there's so many variables

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Speaker 2: just if you look at nature, right and you you know,

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Speaker 2: it's you can't just look at studies and have those

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Speaker 2: can't even to most of the time be just a

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Speaker 2: complete one hundred percent determinator, you know, like it's it's

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Speaker 2: going to be there's going to be some variable that

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Speaker 2: they didn't consider or some something that could have affected it,

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Speaker 2: or you know whatever.

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Speaker 4: So uh, it's like polling data and stuff like that too.

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Speaker 3: You know, it's like, okay, well if you pull inner

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Speaker 3: city of Chicago and then you pull uh, you know,

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Speaker 3: I don't know, sometown, West Virginia, you'll probably have different results.

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Speaker 4: So yeah, you can make data seem any which way

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Speaker 4: you want.

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Speaker 6: Sure.

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Speaker 2: Yeah, so it's hard. It's hard to look at the

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Speaker 2: studies and know for certain. Still it's it's good to

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Speaker 2: look at. I think it's good to do. But anyway,

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Speaker 2: I'm definitely pretty interested in it because currently I'm sitting

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Speaker 2: here looking at the multimobile app and just refreshing it

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Speaker 2: about every you know, thirty minutes and trying to see

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Speaker 2: if the rut has hit anywhere across the country yet,

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Speaker 2: because I'm, like I said, I got fomo bad and

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Speaker 2: I just need to need to go hunting. I mean,

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Speaker 2: I'm glad to be here because I'm able to do

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Speaker 2: stuff like this for refresh and to do some of

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Speaker 2: the work that they need to do and get like

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Speaker 2: all my stuff in order. But everybody in Iowa having

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Speaker 2: a party and you know, multiple people shooting deer that

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Speaker 2: I know and including maybe you know, somebody very close

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Speaker 2: to me, that that is making me feel like I

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Speaker 2: need to be out in the woods right now.

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Speaker 5: Yeah.

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Speaker 3: Well, you got a couple up on most folks right

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Speaker 3: now for the year already, so it'd be all right.

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Speaker 3: But you know, if you're if you got the fomo

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Speaker 3: Tyler and you're you're concerned about what's going on around

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Speaker 3: the country. I hear that there's a new ret Fresh

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Speaker 3: episode coming out on Wednesday, that'd be today probably, and uh.

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Speaker 4: Who's gonna be on that episode?

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Speaker 2: Yeah, So, as you referred to earlier, old Michael Stole

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Speaker 2: known as Jim Michael. Sometimes depending on if Tony Peterson's

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Speaker 2: talking to him or not, we have he be in

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Speaker 2: South Dakota. And Anthony Warren, who's a good buddy of mine.

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Speaker 2: It goes way back. He's in Iowa. I referred to

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Speaker 2: him earlier. We're gonna have Gordon Dalton. He's out in

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Speaker 2: Virginia doing some cool stuff out there. It's kind of

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Speaker 2: flies under the radar a little bit as far as

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Speaker 2: that state goes, but he's I mean, he always has

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Speaker 2: good pictures of nice bucks and he says that things

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Speaker 2: are going on right now. And then our good buddy

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Speaker 2: Christopher Webb from Texas. He's been doing some public land

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Speaker 2: hunting and had a really close encounter recently that on

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Speaker 2: a man, dude, And those are hard to come by

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Speaker 2: Texas public land bucks that are over thirteen inches wide,

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Speaker 2: which is what it has to be to be legal

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Speaker 2: in most most of the areas. Man' that's a tough

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Speaker 2: buck to come by, so I feel sorry for him

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Speaker 2: that he didn't get that quite done. But anyway, that's

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Speaker 2: all coming up here in just a second. The man

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Speaker 2: goes by many names, but Michael would probably be the

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Speaker 2: one he prefers. This is Michael Stole. He's been up

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Speaker 2: in South Dakota hunting here.

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Speaker 6: What's up, dude, Oh, nothing much, just trying to stay

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Speaker 6: warm and watch the Rangers win a world series.

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Speaker 2: Let's go, dude. I love how you start off with

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Speaker 2: the letter, oh when you just address me.

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Speaker 6: I'm I'm amongst my people currently. I hear it all

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Speaker 6: over except for when I'm with your psychopathic compadre.

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Speaker 2: So you're you're up there with old Caleb and he's, uh,

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Speaker 2: he might have there might have been a buck that

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Speaker 2: got an arrow sometime soon. We won't say much more

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Speaker 2: about it, though, But you guys have seen I don't know,

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Speaker 2: at least talking to your compadre there, it seems like

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Speaker 2: you've seen kind of the gamut of I guess rut behavior.

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Speaker 2: Would you say that you've been back and forth on

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Speaker 2: what stage they're in and what they're actually one.

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Speaker 6: Dude, Yeah, yeah, one hundred percent. We don't really know

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Speaker 6: what's going on. All we know is that.

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Speaker 4: We thought it was going to be a lot more

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Speaker 4: ruddy than it actually is.

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Speaker 6: So we kind of started out like hunting pinch points

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Speaker 6: and doing the rough thing and kind of realized it

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Speaker 6: it doesn't seem like they're really doing it. A lot

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Speaker 6: of the bucks are still bashed it up and it

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Speaker 6: doesn't seem like they're chasing a whole lot, so we

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Speaker 6: started just going back to bed to feet.

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Speaker 4: It helped that we had that big cold front that

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Speaker 4: came through, so deer at least.

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Speaker 6: On their feet and moving, But as far as rud activity,

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Speaker 6: it's kind kind of grim really.

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Speaker 2: So have you seen deer nosing dose around?

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Speaker 4: We saw that tonight.

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Speaker 2: Do you think changing or do you think that that

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Speaker 2: just happens to be a certain buck that you had

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Speaker 2: an encounter with that's different than other bucks.

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Speaker 6: I think it has less to do with the buck

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Speaker 6: and more to do with the dough that he was

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Speaker 6: nosing around, because he was very keyed in on like

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Speaker 6: one or two dos.

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Speaker 4: He was just following them around all evening.

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Speaker 2: Gotcha so and he he just stayed with him and

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Speaker 2: follow him around. But there was no like active breeding

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Speaker 2: or anything going on.

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Speaker 6: No, he was just nosing them around, and like, like

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Speaker 6: I said, there was I mean it was a group

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Speaker 6: of probably like six dos and there were just two

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Speaker 6: that he was just doing circles around, just pushing them.

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Speaker 2: So are you guys hunting dough betting or are you

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Speaker 2: hunting pinch points and funnels or what strategy you're using

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Speaker 2: up there?

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Speaker 6: Mostly we hunted a lot or we've been hunting a

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Speaker 6: lot of pinch points, but our best success was kind

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Speaker 6: of just glassing them up and then getting in.

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Speaker 4: Front of them, I mean the old fashioned element way.

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Speaker 2: Yeah, where are they headed?

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Speaker 6: They were headed to a I believe it's a hayfield

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Speaker 6: up on top, and we kind of ran into him

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Speaker 6: just in like a little staging area in between that

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Speaker 6: and some timber.

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Speaker 2: Gotcha, So staging being like brush that what scrapes and

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Speaker 2: rubs are around or something?

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Speaker 3: Man?

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Speaker 6: Yeah, yep, So just I mean on it's pretty much

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Speaker 6: a big valley and on either side there's just a

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Speaker 6: rub line and scrapes all up and down it, and

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Speaker 6: he was pretty much just going scrape to scrape.

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Speaker 2: Is there any correlation between the movement and those scrapes

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Speaker 2: or is it just like anywhere is it there's a tree,

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Speaker 2: there's you know, there's a rub and a scrape and

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Speaker 2: I can't really tell where they're gonna be.

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Speaker 6: I mean, it's the scrape line runs right along a

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Speaker 6: big like it's a big creek system that runs through

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Speaker 6: the property we've been hunting.

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Speaker 4: So it I mean, if.

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Speaker 6: You look at the pins that we've been placing on bucks,

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Speaker 6: it draws a perfect line right down that that uh,

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Speaker 6: that creek that goes right up to some more ag

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Speaker 6: so just traveling creek systems basically, yep, pretty much.

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Speaker 2: Man, it seems like we talk about that quite a

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Speaker 2: bit on our podcast.

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Speaker 4: It sure does.

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Speaker 2: They like those things a lot. So with that in

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Speaker 2: mind and all the things that you've seen, and with

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Speaker 2: it being you know, not quite as just ramped up

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Speaker 2: to you know what a lot of people think the

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Speaker 2: rut is. Do you expect them the next week for

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Speaker 2: anything to change? Do you expect them to to actually

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Speaker 2: get to the rut where you're seeing actual chasing and stuff.

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Speaker 6: I think within the next week things are for sure

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Speaker 6: going to be ramping up.

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Speaker 4: I mean we.

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Speaker 6: Started to see it today, but I think it's more

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Speaker 6: of these does come in.

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Speaker 4: To e they are going to be going absolutely crazy.

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Speaker 2: Hmmm. So would you stay with the same strategies hunting

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Speaker 2: pinch points or would you spend time around those scrapes

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Speaker 2: or dough betting or what do you whre would you

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Speaker 2: spend your time in the next week?

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Speaker 6: I think the the main focus should be a pinch point.

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Speaker 4: But we have found that there are you know, like.

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Speaker 6: There's scrapes all over the place, but there are like

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Speaker 6: a specific couple scrapes that are just they're lighting up.

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Speaker 6: We've seen bucks go to like the same scrape we

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Speaker 6: saw where you know, the buck we were on tonight.

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Speaker 6: We also had an encounter with him a different night

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Speaker 6: going to check the same scrape, and it seems to

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Speaker 6: be that that scrape is like the hot scrape. So

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Speaker 6: it's it's it sounds real easy just find the hot scrape.

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Speaker 6: If you find a scrape that a buck's going to,

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Speaker 6: that might just be the one.

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Speaker 2: So is there a delineator that shows you why that

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Speaker 2: is the scrape or is it just a matter of

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Speaker 2: seeing a buck there, or you know, is there some

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Speaker 2: sort of you know, characteristic that that scrape holds that

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Speaker 2: you could just walk through their woods and see a

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Speaker 2: scrape and be like, oh, that's the one that's hot.

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Speaker 6: I'm I mean, I think especially when it's you know,

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Speaker 6: below freezing like we're dealing with, if you see like

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Speaker 6: like that a deer has been peeing in it recently,

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Speaker 6: that I think that could be a good way to tell.

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Speaker 6: I also think, like, I mean, there's some scrapes that

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Speaker 6: are just like dug And I saw this. I know

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Speaker 6: we're talking about South Dakota, but I saw this in

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Speaker 6: Texas the other day and a scrape was like dug,

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Speaker 6: like a good four inches into the ground and it

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Speaker 6: was the size.

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Speaker 4: Like if I laid down on the ground.

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Speaker 6: It was the size of me pretty much. And we

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Speaker 6: saw multiple bucks go use that scrape too. So I mean,

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Speaker 6: there's a couple different ways to tell, but the best

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Speaker 6: way I feel like to tell is.

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Speaker 4: Just see a big mature butck go go scraping.

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Speaker 2: So in the next week, with all those things considered

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Speaker 2: scale of one to ten, what's the buck movement going

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Speaker 2: to be?

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Speaker 6: Like, Oh, I feel like it's about to be like

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Speaker 6: a I'm gonna say a seven.

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Speaker 2: I think it's gonna be.

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Speaker 6: I think it's gonna be getting pretty good.

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Speaker 4: I don't think it's gonna be quite a ten, but

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Speaker 4: in the next week it's definitely gonna be ramping up.

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Speaker 2: Yeah cool man, Well, thanks for the report. I hope

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Speaker 2: you get to shoot one while you're up there, and

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Speaker 2: I hope that your your friend there in the room

371
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Speaker 2: with you gets plenty of those hungry man's that he's

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Speaker 2: warming up in the background.

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Speaker 4: Now, all right, man, I'll tek you later.

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Speaker 2: Okay, I've got Anthony Warren here. He's a good buddy

375
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Speaker 2: of mine. I know for a long time. He's been

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Speaker 2: out in Iowa hunting big monster bucks and it looks

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Speaker 2: like you might have seen one.

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Speaker 7: Yeah, yeah, hey, thanks for having me on, Tyler.

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Speaker 2: Yeah.

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Speaker 7: Man made up there and it was pretty short lived,

381
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Speaker 7: but ended up having some success on the first evening.

382
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Speaker 7: So yeah, it was a good time.

383
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Speaker 2: Man. So this was a This was a big eight

384
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Speaker 2: point that you'd had on camera some right, had he

385
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Speaker 2: been daylight on any of your cameras.

386
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Speaker 7: He hadn't been full daylight. He had been on the

387
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Speaker 7: edge of dusk or dawn, you know. The week or

388
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Speaker 7: so leading up to me getting up there, you could

389
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Speaker 7: tell he was starting to hit scrapes and he had

390
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Speaker 7: a lot of night time activity. But was just starting

391
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Speaker 7: to hit the fringe of dusk and dawn about the

392
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Speaker 7: week before I got there.

393
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Speaker 2: Okay, so there's been a big cold front that's pretty

394
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Speaker 2: much gone across much of the US. This week was

395
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Speaker 2: the night that you had to encounter with this buck.

396
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Speaker 2: Was that a part of this cold front or was

397
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Speaker 2: it separate of it?

398
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Speaker 5: Yeah, it was, it was separate of it.

399
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Speaker 4: It was actually the day before the front hit.

400
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Speaker 1: The tenth was.

401
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Speaker 7: Slightly down I want to say, two or three degrees

402
00:20:49,880 --> 00:20:53,920
Speaker 7: from the day before, and it was a little misty

403
00:20:54,000 --> 00:20:57,040
Speaker 7: on and off, but I actually caught it right before

404
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Speaker 7: the front actually came in.

405
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Speaker 2: Okay, so this year came in earlier than you had

406
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Speaker 2: seen him on trail cameras or about the same time.

407
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Speaker 7: Yeah, he was probably about ten to fifteen minutes early

408
00:21:15,080 --> 00:21:20,040
Speaker 7: from his earliest that he had been previously. And you know,

409
00:21:20,240 --> 00:21:21,520
Speaker 7: he was actually.

410
00:21:22,080 --> 00:21:24,320
Speaker 4: With another buck that was a younger year.

411
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Speaker 7: Not really sure where they had betted at, but I

412
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Speaker 7: had a bunch of dose around me, and I was

413
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Speaker 7: on the edge of a cornfield that had yet to

414
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Speaker 7: be cut, and so I think a lot of the

415
00:21:34,760 --> 00:21:38,280
Speaker 7: deer were still feeding, and you know, I saw the

416
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Speaker 7: dose well before I saw any bucks that day?

417
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Speaker 2: How I interested? Was he in those dos? Yeah?

418
00:21:44,680 --> 00:21:48,480
Speaker 7: So he was. He was semi interested to the point

419
00:21:48,520 --> 00:21:51,919
Speaker 7: that he wasn't chasing, but he was definitely in the

420
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Speaker 7: sneak position, you know, trying to nose a dough that

421
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Speaker 7: that ended up running away from him. You could tell,

422
00:21:59,480 --> 00:22:01,679
Speaker 7: like he starts and have some acres, but she just

423
00:22:01,760 --> 00:22:02,560
Speaker 7: had nothing to.

424
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Speaker 2: Do with him. Was he eating it all around that cornfield?

425
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Speaker 3: Uh?

426
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Speaker 7: Not that I could tell. Man, The dose were coming

427
00:22:09,200 --> 00:22:11,439
Speaker 7: in and out of the corn and just happened to

428
00:22:11,480 --> 00:22:13,359
Speaker 7: congregate in that corner.

429
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Speaker 2: Where I was at.

430
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Speaker 7: And I think he probably would have if he would have,

431
00:22:18,520 --> 00:22:22,720
Speaker 7: you know, just messed with the does long enough. But yeah,

432
00:22:22,800 --> 00:22:25,639
Speaker 7: he did. Fortunately for me, he didn't make it to

433
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Speaker 7: start eating any of it.

434
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Speaker 2: Yeah. Is that what you think he was doing in there?

435
00:22:29,240 --> 00:22:31,360
Speaker 2: Was was going to eat corn? Or was he doing

436
00:22:31,359 --> 00:22:32,200
Speaker 2: something different? You think?

437
00:22:33,040 --> 00:22:36,600
Speaker 7: Yeah, I think he was in there eating corn. He

438
00:22:36,640 --> 00:22:39,280
Speaker 7: also had a couple of scrapes right there in that

439
00:22:39,359 --> 00:22:42,119
Speaker 7: corner of the field, and so you know, my my

440
00:22:42,200 --> 00:22:44,960
Speaker 7: feeling is he was getting up out of bed gonna

441
00:22:44,960 --> 00:22:47,280
Speaker 7: go eat and you know, check those scrapes on the

442
00:22:47,320 --> 00:22:50,400
Speaker 7: way to eat, and you know that's how I ended

443
00:22:50,480 --> 00:22:51,399
Speaker 7: up intercepting him.

444
00:22:51,400 --> 00:22:55,040
Speaker 2: Basically, Yeah, So in the next week or so, do

445
00:22:55,119 --> 00:22:58,560
Speaker 2: you foresee much changing? Are they going to still are

446
00:22:58,560 --> 00:23:00,480
Speaker 2: you still going to be looking at if you were,

447
00:23:01,240 --> 00:23:02,800
Speaker 2: if you still had a tag there, then you were

448
00:23:02,800 --> 00:23:05,480
Speaker 2: gonna be hunting. Would you still be hunting edge of

449
00:23:06,040 --> 00:23:10,880
Speaker 2: you know, standing corn or near scrapes or would you

450
00:23:10,920 --> 00:23:13,280
Speaker 2: would you change to funnels and pinch points or what

451
00:23:13,280 --> 00:23:13,800
Speaker 2: would you do?

452
00:23:14,920 --> 00:23:19,440
Speaker 7: Yeah? I would probably I would probably look for pinch

453
00:23:19,480 --> 00:23:23,840
Speaker 7: points and funnels probably between uh, you know food, which

454
00:23:23,960 --> 00:23:26,880
Speaker 7: was was that corn that's standing and maybe some some

455
00:23:26,920 --> 00:23:30,480
Speaker 7: real thick spots on the property, because I think Dose

456
00:23:30,520 --> 00:23:32,680
Speaker 7: are still in that that point of the year where

457
00:23:32,680 --> 00:23:35,640
Speaker 7: they're still wanting to go feed. And so I think

458
00:23:35,800 --> 00:23:38,480
Speaker 7: as we get into the next you know, a few

459
00:23:38,560 --> 00:23:42,040
Speaker 7: days next week, we're going to start seeing things kind

460
00:23:42,080 --> 00:23:44,639
Speaker 7: of shift. You'll start seeing a lot of these bucks

461
00:23:44,640 --> 00:23:48,320
Speaker 7: start cruising a little bit more frequently, going back and forth,

462
00:23:48,640 --> 00:23:51,480
Speaker 7: checking scrapes, trying to go and find these Dose and

463
00:23:51,520 --> 00:23:54,280
Speaker 7: the dough betting areas that that are starting to get

464
00:23:54,280 --> 00:23:56,840
Speaker 7: the first dough in estras. So I think it's I

465
00:23:56,840 --> 00:23:58,400
Speaker 7: think it's going to only pick up.

466
00:23:58,280 --> 00:24:01,800
Speaker 2: From here, gotcha. So in the next you know, seven

467
00:24:01,880 --> 00:24:05,520
Speaker 2: days or so, what do you predict the buck movement

468
00:24:05,560 --> 00:24:07,720
Speaker 2: will be like on a scale of one to ten,

469
00:24:08,040 --> 00:24:10,520
Speaker 2: Thinking maybe ten is like the best day of the rut.

470
00:24:11,920 --> 00:24:17,600
Speaker 7: Yeah, I would probably be somewhere around a seven to eight.

471
00:24:19,640 --> 00:24:21,119
Speaker 4: I think it's going to get better.

472
00:24:21,240 --> 00:24:23,880
Speaker 7: We've got some good weather for it, which is nice

473
00:24:23,920 --> 00:24:28,840
Speaker 7: to see. I just typically don't start seeing that level

474
00:24:28,960 --> 00:24:32,720
Speaker 7: ten until you get about seven, eight, nine, ten days

475
00:24:32,760 --> 00:24:37,359
Speaker 7: into November. That's just personally my experience. But I think

476
00:24:37,440 --> 00:24:40,920
Speaker 7: it's going to improve drastically. I think with this cold

477
00:24:40,960 --> 00:24:42,840
Speaker 7: weather a lot of deer are going to hit the

478
00:24:42,840 --> 00:24:44,320
Speaker 7: ground this upcoming week.

479
00:24:44,440 --> 00:24:47,520
Speaker 2: Sweet man, Well that's exciting. Thanks for the report, man,

480
00:24:47,600 --> 00:24:50,280
Speaker 2: and congrats on that big stud of a deer. Man.

481
00:24:50,320 --> 00:24:52,640
Speaker 2: If you're interested and you're listening out there, you can,

482
00:24:52,960 --> 00:24:56,840
Speaker 2: I'm sure find Anthony Anthony Warren on Instagram and go

483
00:24:56,920 --> 00:24:58,320
Speaker 2: check out that big eight point he shot.

484
00:24:59,520 --> 00:25:01,320
Speaker 7: Yeah, thank Tyler, thanks for having me on.

485
00:25:17,680 --> 00:25:19,600
Speaker 2: Right now. I've got Gordon Dalton on the phone. He's

486
00:25:19,600 --> 00:25:22,520
Speaker 2: out in Virginia. Now. You're in Virginia right now. But

487
00:25:22,600 --> 00:25:25,200
Speaker 2: when I met you several years ago we were in Colorado.

488
00:25:25,359 --> 00:25:28,160
Speaker 2: It was just the weirdest chance thing. We were fishing

489
00:25:28,359 --> 00:25:31,520
Speaker 2: out in Colorado in the Black Canyon and you came

490
00:25:31,960 --> 00:25:36,840
Speaker 2: just coming down the chute right there. Man, what's going on,

491
00:25:36,920 --> 00:25:38,520
Speaker 2: Gordon oh Man?

492
00:25:38,640 --> 00:25:40,880
Speaker 5: Not a whole lot at work right now, but hoping

493
00:25:40,920 --> 00:25:41,800
Speaker 5: to get in the woods later.

494
00:25:42,080 --> 00:25:46,680
Speaker 2: Yeah, it's funny that you're you know, to me at least,

495
00:25:46,680 --> 00:25:50,479
Speaker 2: it's interesting that you're such a hardcore deer hunter because

496
00:25:51,280 --> 00:25:54,520
Speaker 2: you know, when I met you, you were kayaking down

497
00:25:54,680 --> 00:25:57,720
Speaker 2: just whitewater rapids, which is something you do often, right.

498
00:25:58,680 --> 00:26:00,880
Speaker 5: Yeah, I have a lot of irons in the fire,

499
00:26:01,320 --> 00:26:04,920
Speaker 5: really hardcore into whitewater kayaking, have been a long time.

500
00:26:04,960 --> 00:26:06,800
Speaker 5: But I mean I've been hunting all my life and

501
00:26:06,840 --> 00:26:08,800
Speaker 5: it's just part of life for me.

502
00:26:09,119 --> 00:26:09,359
Speaker 2: Sure.

503
00:26:09,680 --> 00:26:10,160
Speaker 3: Yeah.

504
00:26:10,359 --> 00:26:14,320
Speaker 2: So ever, yeah, yeah, so you know you've been hunting

505
00:26:14,359 --> 00:26:16,000
Speaker 2: quite a bit. In fact, I tried to get the

506
00:26:16,080 --> 00:26:18,120
Speaker 2: interview with you last night and you went straight from

507
00:26:18,119 --> 00:26:20,840
Speaker 2: work to the stand. Uh what did you see last night?

508
00:26:21,720 --> 00:26:23,760
Speaker 5: Not a thing. I think I busted them all up

509
00:26:23,800 --> 00:26:26,080
Speaker 5: on the way in, busted a bunch of you know,

510
00:26:26,240 --> 00:26:28,000
Speaker 5: but I took the wrong approach.

511
00:26:28,080 --> 00:26:30,520
Speaker 2: But yeah, talking about the terrain you're hunting.

512
00:26:31,320 --> 00:26:33,520
Speaker 5: Yeah, so I'm hunting in the mountains like Blue Ridge,

513
00:26:33,560 --> 00:26:37,520
Speaker 5: but the Blue Ridge Mountains of Virginia, Central Virginia, Western Virginia.

514
00:26:37,680 --> 00:26:41,159
Speaker 5: And uh so I was walking through some pretty steep terrain,

515
00:26:41,280 --> 00:26:44,199
Speaker 5: a lot of Mountain Laurel, a lot of oaks, stuff

516
00:26:44,200 --> 00:26:45,760
Speaker 5: like that, real steep, real rugged.

517
00:26:46,200 --> 00:26:49,440
Speaker 2: So are the oaks dropping right now out there?

518
00:26:50,320 --> 00:26:52,760
Speaker 5: So this year the red oaks are doing pretty good.

519
00:26:53,000 --> 00:26:55,399
Speaker 5: Last year, I think in most of Virginia was a

520
00:26:55,520 --> 00:26:59,280
Speaker 5: huge white oak year, white oak a corns which are preferred.

521
00:27:00,160 --> 00:27:03,120
Speaker 5: It was probably the best white oak year we've had

522
00:27:03,160 --> 00:27:06,080
Speaker 5: in eight ten years. It was a big deal. This year,

523
00:27:06,280 --> 00:27:09,440
Speaker 5: no white oaks, not many. But the red oaks, of course,

524
00:27:09,440 --> 00:27:12,440
Speaker 5: are are doing pretty well. And the deer really do

525
00:27:12,560 --> 00:27:14,400
Speaker 5: seem to be in the red oaks right now. They're

526
00:27:15,160 --> 00:27:17,359
Speaker 5: they're in those pretty hard. And so that's kind of

527
00:27:17,359 --> 00:27:21,879
Speaker 5: where I was yesterday, was near a good scrape among

528
00:27:21,920 --> 00:27:24,200
Speaker 5: a bunch of red oaks near some Mountain Laurel.

529
00:27:24,359 --> 00:27:27,280
Speaker 2: Yeah, so does this scrape sit you say it's steep country?

530
00:27:27,320 --> 00:27:29,720
Speaker 2: Is this is this like on a ridge or a

531
00:27:29,760 --> 00:27:31,679
Speaker 2: bench or a saddle or what is it?

532
00:27:32,160 --> 00:27:35,480
Speaker 5: Yep, this particular scrape is kind of on a on

533
00:27:35,560 --> 00:27:38,240
Speaker 5: a little bench of a ridge where the ridge kind

534
00:27:38,240 --> 00:27:41,760
Speaker 5: of you know, flattens out just briefly. I think they're

535
00:27:41,800 --> 00:27:45,960
Speaker 5: crossing from two different directions. I missed a really good

536
00:27:46,000 --> 00:27:49,280
Speaker 5: buck on this past weekend right there. My my arrow

537
00:27:49,400 --> 00:27:51,960
Speaker 5: hit hit a limb. I had to shoot through sapling

538
00:27:52,000 --> 00:27:54,400
Speaker 5: and didn't work out. So I was hoping I didn't

539
00:27:54,400 --> 00:27:55,080
Speaker 5: scare them too bad.

540
00:27:55,160 --> 00:27:56,719
Speaker 2: You come back, Yeah, it hurts.

541
00:27:56,760 --> 00:27:56,960
Speaker 5: Man.

542
00:27:57,960 --> 00:28:00,520
Speaker 2: You sent me pictures of that deer and he is

543
00:28:00,560 --> 00:28:01,320
Speaker 2: a mondo.

544
00:28:02,119 --> 00:28:05,800
Speaker 5: Yeah, yep, well he is. He's he's living a good life.

545
00:28:05,800 --> 00:28:07,720
Speaker 5: I didn't. I didn't, you know, thankfully it was a

546
00:28:07,720 --> 00:28:08,280
Speaker 5: clean miss.

547
00:28:08,359 --> 00:28:10,600
Speaker 2: Yeah is he? So did he check the scrape right there?

548
00:28:11,680 --> 00:28:14,600
Speaker 5: He'd been coming to that scrape mostly at night, but

549
00:28:14,640 --> 00:28:17,080
Speaker 5: I went ahead and pushed on it this weekend, even

550
00:28:17,119 --> 00:28:20,480
Speaker 5: though it was sixty degrees. It's just that magical time

551
00:28:20,480 --> 00:28:22,640
Speaker 5: of year, you know, when the bucks are running around,

552
00:28:22,680 --> 00:28:25,360
Speaker 5: they're feeling randy, but the does aren't ready, and so

553
00:28:25,400 --> 00:28:27,199
Speaker 5: you get a lot of movement, and that seems to

554
00:28:27,240 --> 00:28:30,080
Speaker 5: be what's happening. And I kind of surprised me. He

555
00:28:30,080 --> 00:28:31,600
Speaker 5: showed up at eight thirty in the morning. It was

556
00:28:31,640 --> 00:28:34,919
Speaker 5: probably sixty something degrees. Yeah, so not so.

557
00:28:35,320 --> 00:28:37,400
Speaker 2: The most of the country's kind of seen a cold front.

558
00:28:37,440 --> 00:28:39,120
Speaker 2: Have you guys had that at all.

559
00:28:39,920 --> 00:28:43,800
Speaker 5: Yes, the cold front hit yesterday, but it's been it's

560
00:28:43,800 --> 00:28:46,600
Speaker 5: been a rollicking ride here in Virginia. You know, October

561
00:28:46,680 --> 00:28:49,080
Speaker 5: is basically bo season the whole month. This is the

562
00:28:49,120 --> 00:28:52,240
Speaker 5: last few days of it, and it's been. Our opening

563
00:28:52,320 --> 00:28:55,480
Speaker 5: day was windy and rainy, and you know since then,

564
00:28:55,520 --> 00:28:58,000
Speaker 5: the weather has just really not cooperated up until now,

565
00:28:58,240 --> 00:29:01,520
Speaker 5: but it's been. It was eighty degrees last weekend, which

566
00:29:01,560 --> 00:29:05,720
Speaker 5: is crazy for this time of year. Yeah, the rainy, hot,

567
00:29:05,960 --> 00:29:08,440
Speaker 5: and now finally cooling down. So hopefully things are about

568
00:29:08,480 --> 00:29:09,280
Speaker 5: to get really good.

569
00:29:09,440 --> 00:29:12,200
Speaker 2: So you know, things were getting good. Apparently you saw

570
00:29:12,360 --> 00:29:14,760
Speaker 2: daylight movement off of this buck that hasn't been daylight

571
00:29:14,960 --> 00:29:18,040
Speaker 2: much even before the cold front. So now at the

572
00:29:18,040 --> 00:29:22,120
Speaker 2: cold fronts here, you expect things to be you expect

573
00:29:22,120 --> 00:29:24,560
Speaker 2: to be more of the same or is there you

574
00:29:24,560 --> 00:29:27,000
Speaker 2: know your patterns are tactic going to change it all?

575
00:29:27,120 --> 00:29:28,800
Speaker 2: Or what do you think in the next week or so?

576
00:29:29,720 --> 00:29:32,000
Speaker 5: I think for the next few days you can I'm

577
00:29:32,040 --> 00:29:34,440
Speaker 5: still going to be banking on the bucks moving pretty good,

578
00:29:34,680 --> 00:29:36,960
Speaker 5: you know, just based on that that need to find

579
00:29:36,960 --> 00:29:39,000
Speaker 5: a dough and that's what I was banking on last

580
00:29:39,000 --> 00:29:42,160
Speaker 5: weekend was it even though it was warm, you know

581
00:29:42,200 --> 00:29:44,440
Speaker 5: that he would still be moving at least in the morning.

582
00:29:44,600 --> 00:29:47,760
Speaker 5: And I mean, it worked out. Sometimes it amazes me

583
00:29:47,840 --> 00:29:49,160
Speaker 5: when the plan actually works out.

584
00:29:50,160 --> 00:29:52,200
Speaker 2: Does me too, Man, it's such a it's such a

585
00:29:52,200 --> 00:29:53,800
Speaker 2: cool thing. It doesn't happen often, you know.

586
00:29:54,720 --> 00:29:56,440
Speaker 5: And I think that's gonna that kind of thing will

587
00:29:56,520 --> 00:29:58,480
Speaker 5: keep up for the next few days, you know, into

588
00:29:58,520 --> 00:30:01,120
Speaker 5: the you know, it's November when we're talking here, and

589
00:30:01,160 --> 00:30:03,920
Speaker 5: I think that'll keep up. And then as we go

590
00:30:04,000 --> 00:30:06,240
Speaker 5: into the next week, you might, you know, maybe they'll

591
00:30:06,240 --> 00:30:08,040
Speaker 5: they'll be a little more of what you know, lockdown,

592
00:30:08,080 --> 00:30:12,360
Speaker 5: I guess in theory. But but November ninth is always

593
00:30:12,360 --> 00:30:13,800
Speaker 5: a great day here in Virginia.

594
00:30:14,000 --> 00:30:14,240
Speaker 8: Yeah.

595
00:30:14,280 --> 00:30:18,960
Speaker 2: So you're still using terrain, you know, like benches or

596
00:30:19,000 --> 00:30:20,960
Speaker 2: saddles or stuff to get in the way of these

597
00:30:21,040 --> 00:30:24,560
Speaker 2: cruising bucks. Are you using scrapes or combination or different

598
00:30:24,600 --> 00:30:25,280
Speaker 2: things or what.

599
00:30:26,320 --> 00:30:28,480
Speaker 5: I'd go for that combination just like you said there,

600
00:30:29,040 --> 00:30:31,920
Speaker 5: you know, I'm hunting big woods, not a lot of

601
00:30:32,240 --> 00:30:35,520
Speaker 5: edge except you know, vegetation edges, So I'm trying to

602
00:30:35,600 --> 00:30:38,280
Speaker 5: use the terrain. I use a lot of little gullies.

603
00:30:38,360 --> 00:30:40,680
Speaker 5: There's a lot of steep gullies. The bucks don't want

604
00:30:40,680 --> 00:30:42,840
Speaker 5: to go up and down through those little gullies. They

605
00:30:42,840 --> 00:30:45,040
Speaker 5: don't show up on a map, and so you've got

606
00:30:45,040 --> 00:30:47,800
Speaker 5: to find them boots on the ground, as they would say.

607
00:30:48,040 --> 00:30:50,120
Speaker 5: The bucks like the cruise along the top of those

608
00:30:50,160 --> 00:30:52,560
Speaker 5: little gullies rather than waste energy going up and down

609
00:30:52,600 --> 00:30:55,320
Speaker 5: these little six foot six foot gullies. So I try

610
00:30:55,360 --> 00:30:59,920
Speaker 5: to look for that, you know, that east facing rig.

611
00:31:00,240 --> 00:31:02,560
Speaker 5: We don't have a lot of east west running ridges.

612
00:31:02,640 --> 00:31:06,280
Speaker 5: If you can find one, it's usually money. So I'll

613
00:31:06,360 --> 00:31:08,520
Speaker 5: keep keep focusing on some scrapes at least for the

614
00:31:08,560 --> 00:31:11,520
Speaker 5: next few days. But I'm always trying to use terrain

615
00:31:12,240 --> 00:31:14,520
Speaker 5: and the edge of Mountain Laurel and things like that.

616
00:31:15,120 --> 00:31:19,920
Speaker 2: Gotcha. So, in the next week in Virginia, with the

617
00:31:19,920 --> 00:31:22,880
Speaker 2: weather coming in, do you expect the buck movement to

618
00:31:22,920 --> 00:31:24,520
Speaker 2: be better? And what would you rate it? On a

619
00:31:24,520 --> 00:31:25,440
Speaker 2: scale of one to ten.

620
00:31:27,480 --> 00:31:29,280
Speaker 5: I would think it would still be pretty good at

621
00:31:29,360 --> 00:31:31,960
Speaker 5: least for the next you know, a few days into

622
00:31:32,000 --> 00:31:35,560
Speaker 5: the next week. I would rate it maybe an eight

623
00:31:35,720 --> 00:31:39,920
Speaker 5: eight plus hopefully m hm, seven to eight plus.

624
00:31:40,960 --> 00:31:43,360
Speaker 2: That's what I'm hoping for, all right, man, Well, that's good,

625
00:31:43,360 --> 00:31:46,280
Speaker 2: that's positive news. Man. I think everybody right now is

626
00:31:46,280 --> 00:31:48,479
Speaker 2: getting a little bit itchy. That colfront that came in

627
00:31:48,720 --> 00:31:51,240
Speaker 2: right Halloween, in the end of the end of October,

628
00:31:51,280 --> 00:31:53,160
Speaker 2: there got a lot of people in the woods and

629
00:31:53,640 --> 00:31:55,240
Speaker 2: there were some bucks that went down. But I still

630
00:31:55,280 --> 00:31:58,000
Speaker 2: think there's there's more to come, man, So I'm excited

631
00:31:58,000 --> 00:32:01,240
Speaker 2: about it, and I appreciate the report from Virginia. Yes, sir,

632
00:32:02,440 --> 00:32:04,960
Speaker 2: I got my good friend Chris Webb. He is one

633
00:32:05,000 --> 00:32:09,040
Speaker 2: of probably you know, the audience's favorite Element characters on

634
00:32:09,080 --> 00:32:15,360
Speaker 2: our YouTube channel. Recently, Chris actually killed his first public

635
00:32:15,440 --> 00:32:18,240
Speaker 2: land buck in a video of ours on our YouTube channel. Chris,

636
00:32:18,280 --> 00:32:19,240
Speaker 2: what's been going on, man?

637
00:32:20,360 --> 00:32:21,680
Speaker 8: Just trying to be in the woods as much as

638
00:32:21,680 --> 00:32:23,320
Speaker 8: I can this time of year.

639
00:32:23,440 --> 00:32:25,760
Speaker 2: Yeah, that's a pretty good time of year to do that.

640
00:32:25,880 --> 00:32:30,600
Speaker 2: You spent some time in Texas now recently, and it

641
00:32:30,600 --> 00:32:32,680
Speaker 2: seemed like you had a pretty good hunt the other day.

642
00:32:33,440 --> 00:32:36,240
Speaker 2: You saw some bucks, right, I did.

643
00:32:36,280 --> 00:32:40,480
Speaker 8: We had that big cold front blow through Sunday into Monday,

644
00:32:41,000 --> 00:32:45,040
Speaker 8: and so I got out Monday morning and the storm

645
00:32:45,160 --> 00:32:48,440
Speaker 8: the weather broke, you know, probably around six am. So

646
00:32:49,200 --> 00:32:52,200
Speaker 8: about nine am I had a buck chasing. Some does

647
00:32:52,280 --> 00:32:57,040
Speaker 8: come running through and came in for a second and

648
00:32:57,200 --> 00:32:58,960
Speaker 8: looked right at me and ran away.

649
00:33:00,440 --> 00:33:04,560
Speaker 2: Man gotta hate it. The uh so he was like

650
00:33:04,880 --> 00:33:08,520
Speaker 2: running dose or just like pushing them around with like

651
00:33:08,600 --> 00:33:11,800
Speaker 2: in like a sneak position. He was just pushing them around.

652
00:33:11,880 --> 00:33:12,440
Speaker 2: I heard him.

653
00:33:12,560 --> 00:33:14,840
Speaker 8: I heard some blowing going on in a creek behind me,

654
00:33:15,400 --> 00:33:16,959
Speaker 8: and so I kind of thought they had just got

655
00:33:17,120 --> 00:33:20,120
Speaker 8: my wind. And then they started running closer to me,

656
00:33:20,160 --> 00:33:24,440
Speaker 8: and I thought that that's odd. And then after they

657
00:33:24,520 --> 00:33:28,160
Speaker 8: ran through, you know, ten seconds later he came running in.

658
00:33:28,520 --> 00:33:34,440
Speaker 2: So well, so in that spot, are you hunting like

659
00:33:34,480 --> 00:33:36,840
Speaker 2: a rut pinch or are you hunting something different there?

660
00:33:37,840 --> 00:33:43,360
Speaker 8: So that's a community scrape and also white oaks Okay,

661
00:33:43,400 --> 00:33:45,640
Speaker 8: so the doze will feet in there and then a

662
00:33:45,680 --> 00:33:48,160
Speaker 8: pretty good scrape opens up there about this time of year.

663
00:33:48,680 --> 00:33:50,360
Speaker 2: How about how big is that scrape?

664
00:33:52,080 --> 00:33:54,560
Speaker 8: About the size of a dinner plate?

665
00:33:55,000 --> 00:33:58,120
Speaker 2: Okay? And you do you have a camera on it?

666
00:33:58,960 --> 00:33:59,320
Speaker 4: Yeah?

667
00:33:59,360 --> 00:34:02,320
Speaker 2: And you've seen dearly using it in daylight at all

668
00:34:02,400 --> 00:34:02,800
Speaker 2: this year?

669
00:34:04,360 --> 00:34:08,040
Speaker 8: Oh yeah, we're seeing been seeing a lot more of

670
00:34:08,080 --> 00:34:11,040
Speaker 8: that after this cold front will come through on a

671
00:34:11,280 --> 00:34:13,120
Speaker 8: mid morning cruising and checking.

672
00:34:13,680 --> 00:34:19,759
Speaker 2: Yeah, I got youa So, so the cold weather or

673
00:34:19,800 --> 00:34:21,520
Speaker 2: do you think that that it's more the time of

674
00:34:21,640 --> 00:34:23,600
Speaker 2: year that's increased the daylight movement there.

675
00:34:25,840 --> 00:34:29,839
Speaker 8: I think it's the time of year, but the cold

676
00:34:29,840 --> 00:34:32,719
Speaker 8: front definitely, you know, adds a little bit to it,

677
00:34:32,719 --> 00:34:34,160
Speaker 8: gets a movement a little bit more.

678
00:34:34,320 --> 00:34:36,280
Speaker 2: Yeah, how's the achorn crop there?

679
00:34:37,719 --> 00:34:40,960
Speaker 4: It was really good. It looks like a lot of

680
00:34:41,000 --> 00:34:41,960
Speaker 4: it's kind of.

681
00:34:41,920 --> 00:34:44,440
Speaker 2: Gone, so they've already eaten a lot of it.

682
00:34:45,440 --> 00:34:48,160
Speaker 8: Yeah, but that scrape stays open and there's some dough

683
00:34:48,160 --> 00:34:51,520
Speaker 8: betting pretty close by, so it's a pretty frequented.

684
00:34:51,040 --> 00:34:54,399
Speaker 2: Area, gotcha. So you know, looking forward into the next

685
00:34:54,400 --> 00:34:58,319
Speaker 2: week or so, is anything going to change as far

686
00:34:58,360 --> 00:35:01,680
Speaker 2: as what the deer are doing, what the bucks in

687
00:35:01,960 --> 00:35:04,759
Speaker 2: particular are doing, or what the does are doing that

688
00:35:04,800 --> 00:35:10,880
Speaker 2: would affect buck movement? The buck movement, I don't think so.

689
00:35:10,960 --> 00:35:12,759
Speaker 4: I think it's going to continue to be just more

690
00:35:12,760 --> 00:35:13,239
Speaker 4: of the same.

691
00:35:13,280 --> 00:35:17,200
Speaker 8: I think you're going to see more bucks cruising, unlike

692
00:35:17,239 --> 00:35:20,680
Speaker 8: the private I hunt. You're gonna see just new bucks

693
00:35:20,680 --> 00:35:23,839
Speaker 8: showing up to your corn, and then I think you're

694
00:35:23,880 --> 00:35:26,400
Speaker 8: going to see them moving, you know, all throughout the

695
00:35:26,440 --> 00:35:30,360
Speaker 8: morning and then potentially earlier in the afternoon.

696
00:35:30,400 --> 00:35:33,760
Speaker 2: Do you expect to scrape movement to increase or decrease

697
00:35:33,880 --> 00:35:35,680
Speaker 2: as the cruising movement picks up.

698
00:35:37,480 --> 00:35:40,440
Speaker 8: I expect the scrape movement to increase probably over the

699
00:35:40,480 --> 00:35:41,680
Speaker 8: next two to three weeks.

700
00:35:41,960 --> 00:35:46,040
Speaker 2: Okay, And do you think that I guess would you

701
00:35:46,080 --> 00:35:48,520
Speaker 2: assume that most of those acrons on the at least

702
00:35:48,520 --> 00:35:50,480
Speaker 2: on the white oat crop are pretty much gone, and

703
00:35:50,800 --> 00:35:53,879
Speaker 2: and you're looking for reds or what kind of food

704
00:35:53,920 --> 00:35:55,960
Speaker 2: source do you think you'll be keen in on for

705
00:35:56,040 --> 00:35:56,640
Speaker 2: those does?

706
00:35:58,880 --> 00:36:01,560
Speaker 8: For those does? Yeah, I think the white oak's gone,

707
00:36:01,640 --> 00:36:05,600
Speaker 8: so keenan on red oaks or being the deer around

708
00:36:05,600 --> 00:36:08,080
Speaker 8: here kind of eat just about anything.

709
00:36:08,280 --> 00:36:10,760
Speaker 4: So just figuring out what they're eating.

710
00:36:11,480 --> 00:36:13,560
Speaker 8: If you're on private, that's corn, so sure.

711
00:36:14,000 --> 00:36:16,840
Speaker 2: Well even if you're on public sometimes too because they're

712
00:36:16,840 --> 00:36:17,800
Speaker 2: going off on the private.

713
00:36:18,960 --> 00:36:19,240
Speaker 8: Yeah.

714
00:36:19,320 --> 00:36:23,520
Speaker 2: Yeah, So on a scale of one to ten, what

715
00:36:23,600 --> 00:36:26,920
Speaker 2: would you assume or predict buck movement will be like

716
00:36:26,960 --> 00:36:31,200
Speaker 2: in the next week or so.

717
00:36:29,600 --> 00:36:32,719
Speaker 8: I'm thinking it's going to be probably seven seven and

718
00:36:32,719 --> 00:36:33,120
Speaker 8: a half.

719
00:36:33,680 --> 00:36:37,239
Speaker 2: All right, seven and a half. I like it, man,

720
00:36:37,400 --> 00:36:40,120
Speaker 2: That's like, that's pretty pretty good. Man. I feel like

721
00:36:41,120 --> 00:36:43,359
Speaker 2: I'm right there with you. If I've seen our trail

722
00:36:43,400 --> 00:36:46,640
Speaker 2: cameras in Texas, you know, in the last couple of days.

723
00:36:46,640 --> 00:36:49,040
Speaker 2: I mean it's going to start getting pretty good. I

724
00:36:49,080 --> 00:36:50,480
Speaker 2: think I.

725
00:36:50,400 --> 00:36:52,480
Speaker 8: Think so too. It's going to just kind of each day.

726
00:36:52,560 --> 00:36:54,000
Speaker 4: I think it will just get a little bit better.

727
00:36:54,800 --> 00:36:57,520
Speaker 2: Awesome. Well, thanks for doing this, Chris, and I'm hoping

728
00:36:57,560 --> 00:37:00,239
Speaker 2: that next time a buck crashes in on you get

729
00:37:00,239 --> 00:37:01,960
Speaker 2: a good shot on him. Hi.

730
00:37:02,040 --> 00:37:03,040
Speaker 4: Thanks man, I do be too.

731
00:37:04,160 --> 00:37:07,120
Speaker 2: Some really great thoughts about the rut, the pre rut

732
00:37:07,440 --> 00:37:10,840
Speaker 2: which is happening right now in that podcast. We appreciate

733
00:37:10,880 --> 00:37:14,520
Speaker 2: all the guests. Also, Adam Moore has written an article

734
00:37:14,600 --> 00:37:17,960
Speaker 2: on the Wired to Hunt website called why you should

735
00:37:18,000 --> 00:37:20,640
Speaker 2: Catch a white Tail rut down South. So if you're

736
00:37:20,640 --> 00:37:24,880
Speaker 2: interested in more rutting action, more running information, there's something

737
00:37:24,920 --> 00:37:27,000
Speaker 2: there for you at Wired to Hunt. Also, you can

738
00:37:27,040 --> 00:37:30,279
Speaker 2: go to the Element YouTube channel and check out our

739
00:37:30,360 --> 00:37:32,920
Speaker 2: latest video where we get in on the first pre

740
00:37:33,040 --> 00:37:36,439
Speaker 2: rut action in Texas on a public land hunt where

741
00:37:36,440 --> 00:37:39,000
Speaker 2: I actually shoot a really nice bug. This happened just

742
00:37:39,040 --> 00:37:41,640
Speaker 2: a couple of weeks ago. It's already out on YouTube,

743
00:37:41,680 --> 00:37:43,879
Speaker 2: so go check it out. This has been rut fresh,

744
00:37:44,320 --> 00:37:50,960
Speaker 2: Keep it fresh.