WEBVTT - Ep. 783: Does the Moon Impact Deer Behavior?

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<v Speaker 1>If this is the me Eater podcast coming at you shirtless, severely,

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<v Speaker 1>bug bitten, and in my case, underwear listeningst you can't

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<v Speaker 1>predict anything brought to you by first Light. When I'm hunting,

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<v Speaker 1>I need gear that won't quit. First Light builds, no compromise,

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<v Speaker 1>gear that keeps me in the field longer, no shortcuts,

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<v Speaker 1>just gear that works. Check it out at first light

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<v Speaker 1>dot com. That's f I R S T L I

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<v Speaker 1>T E dot com for people. Oh no, the show

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<v Speaker 1>is starting right now with this ring. Can it start

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<v Speaker 1>with this ring?

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<v Speaker 2>Yeah?

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<v Speaker 1>Sounds good dyland Mark Canyon. If he doesn't pick up

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<v Speaker 1>where we keep it, you think, I see? Oh, Mark,

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<v Speaker 1>you know who I'm sitting here with. I have no

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<v Speaker 1>idea you're on you're on the You're not on the air,

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<v Speaker 1>but you know what I mean, you're being recorded. Okay,

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<v Speaker 1>Uh it's me Mark.

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<v Speaker 3>I'm here with doctor Bronson Strickland.

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<v Speaker 1>Hm hm, great guy. And I'm about ready to start

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<v Speaker 1>telling him about the last thing you told me about

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<v Speaker 1>deer in the moon and I and I'm gonna like

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<v Speaker 1>kind of make you look bad. Then I thought that

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<v Speaker 1>that it was a very interesting point I was telling

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<v Speaker 1>you about how you know you and I have argued

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<v Speaker 1>about whether deer are impacted by lunar phases. Yep, you're

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<v Speaker 1>very I mean you're you're very aware of this debate.

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<v Speaker 4>Very aware of it.

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<v Speaker 1>I'm position is, well, I'll tell you what you said

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<v Speaker 1>the last time we talked, Mark, and it was a

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<v Speaker 1>long time ago, and it's stuck in my head, it's

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<v Speaker 1>stuck in my craw you were you were kind of

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<v Speaker 1>hinting at that science can't detect the subtle difference. Is

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<v Speaker 1>that could the subtle, subtle things that could make a

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<v Speaker 1>difference between your success and your failure where you're like,

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<v Speaker 1>if that buck steps out of the woods a minute earlier,

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<v Speaker 1>that could be the difference and science can't find that. Yes,

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<v Speaker 1>So when I say about how you think that, you

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<v Speaker 1>still think that, well, that has been not my position,

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<v Speaker 1>but my.

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<v Speaker 3>No, you didn't put it to me like a question.

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<v Speaker 5>So I've always said that that is the question that

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<v Speaker 5>I feel like science has yet was like, there's all

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<v Speaker 5>these studies that show that cold fronts don't impact movement

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<v Speaker 5>in a statistically significant way, or the moon in many

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<v Speaker 5>different ways has not shown yet to make a statistics

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<v Speaker 5>that's a difference. So I've always been curious though, because

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<v Speaker 5>on when we see that in all the studies. On

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<v Speaker 5>the other hand, you have all these other hunters with

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<v Speaker 5>anecdotal evidence that you.

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<v Speaker 2>Know that says that's not the case.

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<v Speaker 5>And so my question has always been, maybe maybe we're

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<v Speaker 5>just not measuring in the same way or in quite

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<v Speaker 5>the right way to us these tiny.

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<v Speaker 3>Little possible edges that you could get.

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<v Speaker 5>So I'm still like very much on the fence. So

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<v Speaker 5>Steel like, I'm just curious. I'm Moon curious.

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<v Speaker 1>That's how I've always described myself.

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<v Speaker 3>We already talked about you being Moon curious.

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<v Speaker 1>I'm Mark.

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<v Speaker 3>I'm Mark curious.

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<v Speaker 1>Ye know.

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<v Speaker 5>And Bronson has done a really good job of a

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<v Speaker 5>lot of this stuff. So I'm glad you're talking to

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<v Speaker 5>him because he's someone who I listened to a lot

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<v Speaker 5>and uh, and he certainly knows better than I.

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<v Speaker 2>I'm simply a guy with questions.

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<v Speaker 1>Yeah. Remember how I said you're on the air, Mark, Yeah,

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<v Speaker 1>Well you know what I found all was interested ther

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<v Speaker 1>day after the after learning at the other day where

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<v Speaker 1>the FCC start like threatening people for say and stuff

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<v Speaker 1>they didn't like. Yeah, I was like, the FCC has

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<v Speaker 1>nothing to do with podcasts. But then I was like,

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<v Speaker 1>do they the FCC has nothing to do with podcasts?

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<v Speaker 1>Is that a question of statement.

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<v Speaker 3>No, I'm telling you it's true because you're not on

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<v Speaker 3>the air.

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<v Speaker 1>You're not on the air, you're not we're not using

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<v Speaker 1>the air, so we can say like things and the

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<v Speaker 1>FCC won't threaten us and take the show off the air.

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<v Speaker 1>So if they get mad about this lunar phase stuff,

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<v Speaker 1>there's nothing to do about it.

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<v Speaker 5>Saying a lot of crazy stuff about the moon over

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<v Speaker 5>all these years, I would hate to be brought to

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<v Speaker 5>court almose past.

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<v Speaker 1>You can do this the hardware of the easy way mark.

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<v Speaker 1>That's what they say. All right, man, we'll talk to

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<v Speaker 1>you later. Thank you. When the episode comes out, why

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<v Speaker 1>don't you listen and we'll try to find out if

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<v Speaker 1>what you're saying is a thing or not.

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<v Speaker 2>I'm looking forward to.

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<v Speaker 1>As we just said, day goodbye to him. Oh, I

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<v Speaker 1>don't really do that.

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<v Speaker 6>Never, No, not even if it's your wife.

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<v Speaker 1>Definitely not.

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<v Speaker 2>No, that is a of Steve's is it's a it's

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<v Speaker 2>in the name of efficiency that please, thank you, hello, goodbye.

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<v Speaker 2>Once you achieve a certain intimacy with Steve follow in

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<v Speaker 2>this category as well. That those pleasant trees are out

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<v Speaker 2>the window.

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<v Speaker 6>I think, I think that happens to me too, But

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<v Speaker 6>and then I watch it happen to someone else.

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<v Speaker 4>If you really want to.

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<v Speaker 1>If you really want to dig it, I'll take a

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<v Speaker 1>quick break to take this for you. I like there's

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<v Speaker 1>people I talk to. I like the main people in

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<v Speaker 1>my life. I like I talked to him. I like

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<v Speaker 1>to talk to him a lot, so that anytime we

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<v Speaker 1>talk it's only about what we have to talk about.

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<v Speaker 1>The minute I go too long and I haven't talked

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<v Speaker 1>to somebody, then I dread talking to him because we've

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<v Speaker 1>got to do all the parts of talking that I don't.

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<v Speaker 3>Want to do.

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<v Speaker 6>You know what I mean, how's the family?

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<v Speaker 1>So if I keep up like a cadence, like if

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<v Speaker 1>I call it Yanni, I don't need to get into like,

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<v Speaker 1>oh geez, how you been? Is the householding up? Ye know?

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<v Speaker 1>I mean, you know, and like wind up in something

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<v Speaker 1>like that. Yeah.

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<v Speaker 6>I come to expect no small talk.

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<v Speaker 1>So I just like if I call you on and

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<v Speaker 1>like hey blank blank, and he's like blank blank, and

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<v Speaker 1>then we just hang up because we like kept up

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<v Speaker 1>on it and we don't have to do like whatever

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<v Speaker 1>did happen? To your cousin you know I mean or whatever?

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<v Speaker 1>You know what I mean? Like, it's just better that way.

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<v Speaker 1>So I just like to. But I tell my wife

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<v Speaker 1>I love her, and I can always tell how I

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<v Speaker 1>stand with her because I'll do it because I'm just

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<v Speaker 1>trying to find out if she's mad at me about

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<v Speaker 1>something so big I love you and she says I

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<v Speaker 1>love you, then we're cool. If I go I love

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<v Speaker 1>you and she just hangs up the I'm like, oh

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<v Speaker 1>my god, now what now? Okay, you know what I mean.

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<v Speaker 1>So that's how I find out if I got it, like,

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<v Speaker 1>if I'm That's how I find out if I'm like

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<v Speaker 1>cool or not. When I go home.

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<v Speaker 3>The longer I've been gone, the less likely I am

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<v Speaker 3>to get the return.

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<v Speaker 1>You know, things get frosty at home. Join Today by

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<v Speaker 1>Doctor Brownson Strickland of University of Mississippi.

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<v Speaker 4>Mississippi State University.

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<v Speaker 1>Is that a big mistake?

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<v Speaker 4>That's a pretty yeah.

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<v Speaker 6>It's not on to make up for say, hot Toddy,

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<v Speaker 6>it's right.

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<v Speaker 3>Where do I see it on?

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<v Speaker 7>Here?

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<v Speaker 6>The bigger?

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<v Speaker 1>Doctor Brownson is the Saint John Family Professor of Wildlife

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<v Speaker 1>Management and the Extension Wildlife Specialist for Mississippi State University.

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<v Speaker 1>And what do you say when you.

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<v Speaker 6>Say that that that's that's another mess up. You've offended

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<v Speaker 6>more Mississippi State folks.

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<v Speaker 1>Yeah, what does it mean? Hot?

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<v Speaker 3>Hot like Christmas drinks?

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<v Speaker 6>I do think hatty toddy means anything. It's a different school.

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<v Speaker 4>Yeah, that's old. Miss we booze it up.

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<v Speaker 1>Mississippi State University. Did his did his BS degree in

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<v Speaker 1>forest resources in the University of Georgia. Did a master's

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<v Speaker 1>degree Texas A and m Kingsville PhD from Mississippi State University.

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<v Speaker 1>Bronson is the co director of the ms Here's where

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<v Speaker 1>things get interesting. He's a co director of the MSU

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<v Speaker 1>Deer Lab, a certified wild wildlife biologist, and professional member

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<v Speaker 1>of the Boone and Crockett Club. We're this is We're

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<v Speaker 1>here to make this is the most important podcast ever

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<v Speaker 1>ever done. I would say, because this is going to

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<v Speaker 1>be the final answer. This is gonna be we hope. Yeah.

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<v Speaker 1>Dudes out there that are like are they argue about

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<v Speaker 1>like the moon phase? And if I'm talking to Jay Scott,

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<v Speaker 1>We're going to go down to Mexico for Ko's Deer

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<v Speaker 1>And he's talking about what dates to go and he's

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<v Speaker 1>talking about what the moon's doing on those dates. Is

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<v Speaker 1>all of that true or not true? Every old man,

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<v Speaker 1>young man, not even old man, every hunter has an

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<v Speaker 1>opinion about what is the moon doing and how does

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<v Speaker 1>it effect dear movements.

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<v Speaker 6>Jay Scott is one of those guys.

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<v Speaker 3>I don't know where he stands now. Everybody changes.

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<v Speaker 1>I used to just believe it too, because I like, well,

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<v Speaker 1>I used to believe that squirrels, that red squirrels bit

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<v Speaker 1>the nuts off gray squirrels. That's what I was told.

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<v Speaker 2>He will definitely push us one way or another in

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<v Speaker 2>January according to what the Moon's going to be doing.

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<v Speaker 1>When you know, so, I have a lot of I

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<v Speaker 1>have a lot of friends that are lunar guys, moon guys,

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<v Speaker 1>and like, here's the deal. And when we started playing

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<v Speaker 1>It's out, I had a conversation with Krint about it,

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<v Speaker 1>and I'm like, it's not ridiculous, Okay, I mean, what's

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<v Speaker 1>not ridiculous about is look at all the wildlife that

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<v Speaker 1>that absolutely one hundred percent is driven by moonface. Okay,

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<v Speaker 1>Like turtle nesting, like when turtles hatch turtles, like like

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<v Speaker 1>shore nesting turtles that lay eggs, their eggs hatch on

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<v Speaker 1>a new moon. Some species hatch where it's real dark. Okay,

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<v Speaker 1>what are the kind of examples we have? I mean

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<v Speaker 1>there's tons of things, man, fish, tides and fish. Yeah,

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<v Speaker 1>think about it's huge. Well, here here's another one for you.

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<v Speaker 1>I remember they You ever hear the writer Barbara King Salver.

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<v Speaker 1>She had a book called High Tide and Tucson, and

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<v Speaker 1>it was a book of like science writing. Was it

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<v Speaker 1>King Salver? Was it? They took these mollufs and brought

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<v Speaker 1>them to Tucson to a university what what universities in Tucson?

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<v Speaker 1>Camera They took these clams whatever the hell it is asu.

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<v Speaker 1>I believe it was clams. I'm sure it was clams.

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<v Speaker 1>They had these clams in an aquarium and Tucson, and

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<v Speaker 1>they didn't need the ocean to tell them what the

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<v Speaker 1>tide was doing. Their whole groove became tied to their

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<v Speaker 1>whole feeding groove became tied to the moon. And it's

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<v Speaker 1>not even enough, like it's an imperceptible Like the effect

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<v Speaker 1>on an aquarium is like imperceptible, right, But those suckers

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<v Speaker 1>tuned in and stayed on a lunar. They stayed on

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<v Speaker 1>a lunar cycle without even being where there's a giant

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<v Speaker 1>tide swing. Right, they just knew. So it stands the

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<v Speaker 1>reason with all these different creatures migratory birds, right, it

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<v Speaker 1>stands the reason, Like, yeah, the moon impacts stuff. So

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<v Speaker 1>for someone to say that the moon impacts how bucks move,

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<v Speaker 1>it's not crazy.

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<v Speaker 4>It's not like dumb, it's not so Yeah, there is

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<v Speaker 4>a lot of evidence for some species. And I think

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<v Speaker 4>the species you mentioned that does make sense. The gravitational

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<v Speaker 4>pull affecting the tide or moonlight affecting visibility, all that stuff,

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<v Speaker 4>to me makes perfect sense. And I think there's a

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<v Speaker 4>lot of examples in the literature for that and it

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<v Speaker 4>being useful. But what I come back to is, but

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<v Speaker 4>what made it that way? How did the story begin

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<v Speaker 4>for white tail deer? Where has there ever been evidence

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<v Speaker 4>that its influencing whitetail deer except for Paul Paul the

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<v Speaker 4>stories that are passed down from grandfather today, you know,

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<v Speaker 4>and it just becomes part of the story, and it

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<v Speaker 4>makes it fun and it makes it interesting. And humans

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<v Speaker 4>are always looking for patterns, and we're really good at

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<v Speaker 4>looking for patterns even when they don't exist, and so

0:12:46.040 --> 0:12:48.640
<v Speaker 4>it adds I think this element to making it more

0:12:48.679 --> 0:12:53.960
<v Speaker 4>interesting when the bottom line is, in my opinion, I

0:12:53.960 --> 0:12:56.920
<v Speaker 4>think the evidence is very strong they're not influenced by

0:12:56.920 --> 0:13:01.439
<v Speaker 4>the moon whatsoever. And then you think about the natural

0:13:01.559 --> 0:13:04.160
<v Speaker 4>history of deer and you start asking your question, why

0:13:04.240 --> 0:13:04.959
<v Speaker 4>would they be.

0:13:06.120 --> 0:13:10.920
<v Speaker 3>Uh, something to do with visibility.

0:13:11.480 --> 0:13:15.480
<v Speaker 1>Well, like in reading like historic texts, you'll often find

0:13:15.600 --> 0:13:18.840
<v Speaker 1>people pre flashlight and stuff, people traveling by horse. You

0:13:18.840 --> 0:13:22.959
<v Speaker 1>read historic text you'll often find people planning trips to

0:13:23.160 --> 0:13:28.000
<v Speaker 1>have their trip coincide with a full moon for better

0:13:28.080 --> 0:13:28.880
<v Speaker 1>nighttime travel.

0:13:29.280 --> 0:13:30.959
<v Speaker 3>So I used to think I'm the deer thing.

0:13:30.960 --> 0:13:35.480
<v Speaker 1>I'm like, maybe just historically, when it's a full moon

0:13:35.840 --> 0:13:39.040
<v Speaker 1>and you're out at night, because there's more light, you

0:13:39.120 --> 0:13:42.400
<v Speaker 1>become aware of deer around you, so you can see

0:13:42.600 --> 0:13:44.800
<v Speaker 1>you can see them, and so you think in your head,

0:13:44.840 --> 0:13:48.680
<v Speaker 1>maybe you wind up thinking. Maybe people wind up thinking

0:13:48.960 --> 0:13:51.720
<v Speaker 1>when there's a full moon, the deer out.

0:13:53.240 --> 0:13:55.200
<v Speaker 4>They're always out just because you seeing them.

0:13:55.240 --> 0:13:57.560
<v Speaker 1>And so you're like, I'm out because I'm out traveling

0:13:57.559 --> 0:13:59.680
<v Speaker 1>at night because it's a full moon, I can see

0:14:00.040 --> 0:14:03.119
<v Speaker 1>I see deer because it's a full moon, and therefore

0:14:03.280 --> 0:14:06.160
<v Speaker 1>I don't know. People land on on that idea that

0:14:06.160 --> 0:14:10.080
<v Speaker 1>that's a wild I'm like, I'm grasping at straws big,

0:14:10.120 --> 0:14:14.040
<v Speaker 1>where did that come from? But but I like, like

0:14:14.200 --> 0:14:16.400
<v Speaker 1>probably the other guys in the room you can like,

0:14:16.440 --> 0:14:19.320
<v Speaker 1>I'd love to hear Yanni and Spencer like, how if

0:14:19.320 --> 0:14:23.360
<v Speaker 1>you can remember where it come from, where your idea

0:14:23.360 --> 0:14:25.480
<v Speaker 1>about this came from? And then and then and then

0:14:26.800 --> 0:14:29.640
<v Speaker 1>doctor Stricklan, I'd love to hear when you guys did

0:14:29.680 --> 0:14:34.200
<v Speaker 1>the survey, if you could talk about how eighty three

0:14:34.640 --> 0:14:41.400
<v Speaker 1>eighty three percent of hunter of surveyed hunters, eighty three

0:14:41.440 --> 0:14:44.200
<v Speaker 1>percent agree it affects moon, the moon affects deer movement.

0:14:44.440 --> 0:14:47.920
<v Speaker 1>What they don't agree on is why and how right right,

0:14:48.920 --> 0:14:51.280
<v Speaker 1>They don't agree on like what it does, how it

0:14:51.320 --> 0:14:53.360
<v Speaker 1>does it, but they believe it does something. But do

0:14:53.360 --> 0:14:54.560
<v Speaker 1>you remember, Yanni?

0:14:55.240 --> 0:14:58.280
<v Speaker 2>Sure, I would say for me it didn't really come

0:14:58.360 --> 0:15:03.480
<v Speaker 2>down generationally it wasn't because basically for me growing up

0:15:03.520 --> 0:15:07.320
<v Speaker 2>before I came out West and started hunting professional, really

0:15:08.640 --> 0:15:14.640
<v Speaker 2>it was maybe five to ten days of archery in Michigan,

0:15:15.600 --> 0:15:17.720
<v Speaker 2>two or three days of shotgun, and then I'd get

0:15:17.720 --> 0:15:20.440
<v Speaker 2>three days of rifle in Wisconsin. That was like my

0:15:20.680 --> 0:15:25.000
<v Speaker 2>entire big game hunting year. So we're gonna be hunting

0:15:25.040 --> 0:15:27.560
<v Speaker 2>no matter what. Those days you know.

0:15:29.440 --> 0:15:32.200
<v Speaker 1>You never got I'll take an opening day off this year.

0:15:33.160 --> 0:15:35.840
<v Speaker 1>I'm not hunting the opener because the looter phase just

0:15:35.960 --> 0:15:36.800
<v Speaker 1>no way, right.

0:15:36.760 --> 0:15:40.280
<v Speaker 2>Yeah, exactly. And my dad just never got into it

0:15:40.320 --> 0:15:42.320
<v Speaker 2>to that level either, which is where I would have

0:15:42.320 --> 0:15:44.400
<v Speaker 2>got it. So I just started learning about it once

0:15:44.440 --> 0:15:47.320
<v Speaker 2>I started reading hunting magazines.

0:15:46.920 --> 0:15:50.120
<v Speaker 1>And doing research on my own, and you would encounter it,

0:15:50.360 --> 0:15:53.520
<v Speaker 1>yeah as fat Yeah, I would say that.

0:15:53.880 --> 0:15:54.000
<v Speaker 5>Uh.

0:15:56.160 --> 0:15:59.000
<v Speaker 2>Where I felt like it actually played a part in

0:15:59.080 --> 0:16:01.520
<v Speaker 2>my hunting was that when I was an elkhunting guy

0:16:01.560 --> 0:16:07.200
<v Speaker 2>in Colorado, usually the second rifle season would coincide with

0:16:07.240 --> 0:16:11.160
<v Speaker 2>the pretty big moon. It would also coincide a lot

0:16:11.200 --> 0:16:15.760
<v Speaker 2>of times with some warmer weather, extreme amount of hunting pressure,

0:16:16.880 --> 0:16:21.120
<v Speaker 2>and it was always our hardest week of hunting. Would

0:16:21.120 --> 0:16:23.960
<v Speaker 2>still kill some olt, but man, it was always our

0:16:23.960 --> 0:16:27.400
<v Speaker 2>hardest week. So a lot a lot of factors that

0:16:27.480 --> 0:16:30.400
<v Speaker 2>play there, but it always would seem like that week

0:16:30.440 --> 0:16:33.240
<v Speaker 2>would also have a big moon, And in my mind

0:16:33.280 --> 0:16:35.200
<v Speaker 2>it was like, of course, they're just up all night

0:16:35.280 --> 0:16:37.400
<v Speaker 2>feeding and by the time we get to the meadow

0:16:37.680 --> 0:16:39.520
<v Speaker 2>half an hour before daylight, they're long gone.

0:16:39.680 --> 0:16:42.920
<v Speaker 1>They're you know in bed. That's the version I was

0:16:43.000 --> 0:16:50.000
<v Speaker 1>raised on. Yeah, I was raised on, but again I

0:16:50.040 --> 0:16:53.480
<v Speaker 1>was raised on a full moon. They feed all night,

0:16:54.080 --> 0:16:59.080
<v Speaker 1>so they don't need to feed in the daylight hours.

0:16:59.640 --> 0:17:02.840
<v Speaker 1>But it had zero It was just an observation. It

0:17:02.880 --> 0:17:05.880
<v Speaker 1>was an observation, but it did not dictate your dictate

0:17:05.960 --> 0:17:08.719
<v Speaker 1>your habits. Right. It was like you had a two

0:17:08.760 --> 0:17:11.960
<v Speaker 1>week gun season, you were gonna hunt, you know whatever.

0:17:13.240 --> 0:17:15.679
<v Speaker 1>We weren't like going out or not going out based

0:17:15.720 --> 0:17:17.200
<v Speaker 1>on it, But it was just like you'd be like, oh,

0:17:17.280 --> 0:17:21.800
<v Speaker 1>it's too bad that there's a full moon on the opener.

0:17:21.880 --> 0:17:22.600
<v Speaker 1>They'll be out.

0:17:22.520 --> 0:17:26.960
<v Speaker 6>Less because they convenient excuse, or if you're successful, you

0:17:27.040 --> 0:17:29.959
<v Speaker 6>did it in spite of a full moon, Like damn?

0:17:30.560 --> 0:17:32.440
<v Speaker 1>Was that your awareness of what the moon was doing.

0:17:32.560 --> 0:17:35.280
<v Speaker 6>I think when I was a kid, there was a

0:17:35.320 --> 0:17:39.920
<v Speaker 6>communal anti full moon take from like the deer hunters

0:17:40.119 --> 0:17:42.560
<v Speaker 6>in my area, and it was just a very rudimentary

0:17:43.200 --> 0:17:47.879
<v Speaker 6>understanding of like what moon, what moon phase would do

0:17:47.960 --> 0:17:50.480
<v Speaker 6>to deer movement. And it was like today and I

0:17:50.480 --> 0:17:52.520
<v Speaker 6>feel like in the last twenty years, there will be

0:17:52.720 --> 0:17:56.520
<v Speaker 6>very like hyper specific moments of the moon that are

0:17:56.520 --> 0:17:58.159
<v Speaker 6>good or bad for deer movement. It's like if a

0:17:58.200 --> 0:18:01.760
<v Speaker 6>new moon is rising under in the morning, Like that's

0:18:01.800 --> 0:18:04.280
<v Speaker 6>a thing people will say when I was a kid

0:18:04.280 --> 0:18:06.359
<v Speaker 6>that it was just like full moon bad, and it was.

0:18:06.480 --> 0:18:08.440
<v Speaker 6>It was not that they were up feeding all night.

0:18:08.880 --> 0:18:11.000
<v Speaker 6>It was that they were chasing tail all night. So

0:18:11.040 --> 0:18:14.360
<v Speaker 6>they were tired. They were like exhausted come first light.

0:18:14.680 --> 0:18:17.840
<v Speaker 6>And so now you're actually going to get some movements

0:18:17.880 --> 0:18:21.439
<v Speaker 6>like late morning, early afternoon, and so that is like

0:18:21.720 --> 0:18:24.080
<v Speaker 6>a stronger time to be in the woods, or it's

0:18:24.080 --> 0:18:27.600
<v Speaker 6>now as good as the morning or the evening. That's

0:18:27.600 --> 0:18:28.160
<v Speaker 6>like a take.

0:18:28.280 --> 0:18:29.200
<v Speaker 1>Can you hit me that again?

0:18:29.240 --> 0:18:30.640
<v Speaker 6>If if it's a full.

0:18:30.400 --> 0:18:32.960
<v Speaker 1>Moon, since he's been chasing does all chasing does.

0:18:32.880 --> 0:18:35.159
<v Speaker 6>All night, he can see things so well, it's like

0:18:35.680 --> 0:18:38.040
<v Speaker 6>it's not that no one even turned the lights off tonight,

0:18:38.400 --> 0:18:40.160
<v Speaker 6>you know they can. They can chase them all through

0:18:40.160 --> 0:18:42.680
<v Speaker 6>the hardwoods, all out in the cornfields. So now they're

0:18:42.720 --> 0:18:45.840
<v Speaker 6>tired come sunrise at seven thirty am, so they're just

0:18:45.880 --> 0:18:48.720
<v Speaker 6>bedded down somewhere already got it. But now they're getting

0:18:48.760 --> 0:18:52.240
<v Speaker 6>a little restless come like eleven am, and so they're

0:18:52.240 --> 0:18:53.840
<v Speaker 6>gonna be on their feet a little more from that

0:18:53.880 --> 0:18:56.560
<v Speaker 6>eleven am to one pm. Period kind of unorthodox. It's

0:18:56.600 --> 0:18:59.879
<v Speaker 6>been so long, yes, yep, and then you know, now

0:19:00.200 --> 0:19:04.240
<v Speaker 6>it's really thrown off his schedule, and that that like movement,

0:19:04.520 --> 0:19:06.439
<v Speaker 6>it's probably not going to be as good for like

0:19:06.560 --> 0:19:09.760
<v Speaker 6>that last you know, thirty minutes of shooting light either,

0:19:09.920 --> 0:19:12.720
<v Speaker 6>because his whole schedule's just off at this point.

0:19:12.760 --> 0:19:15.320
<v Speaker 2>You know, what's coming coming to my mind is like that.

0:19:15.400 --> 0:19:18.080
<v Speaker 2>We always think about how the full moon would be

0:19:18.080 --> 0:19:22.360
<v Speaker 2>beneficial to these animals, right, like they can chase mortel

0:19:22.560 --> 0:19:25.680
<v Speaker 2>or they can feed better all night long. Right, but

0:19:25.720 --> 0:19:30.640
<v Speaker 2>they're prey animals, so like really the wolves can see

0:19:30.640 --> 0:19:32.879
<v Speaker 2>them better, the coyotes can see them better.

0:19:33.440 --> 0:19:37.879
<v Speaker 1>Let's hear from the experts. Okay, let's start out. Tell

0:19:37.960 --> 0:19:39.840
<v Speaker 1>us about your survey. We just we just gave you

0:19:39.920 --> 0:19:46.240
<v Speaker 1>three really read Yeah, we just gave you two of

0:19:46.280 --> 0:19:48.000
<v Speaker 1>the things that are floating around out there. But tell

0:19:48.080 --> 0:19:49.200
<v Speaker 1>tell us about the survey he did.

0:19:49.840 --> 0:19:57.280
<v Speaker 4>Okay, So before I get tops, so we did a

0:19:57.280 --> 0:20:01.359
<v Speaker 4>a buck movement project for a complete dealy different reason.

0:20:02.119 --> 0:20:05.240
<v Speaker 4>And so seven or eight years ago, I thought, uh, well,

0:20:05.280 --> 0:20:07.000
<v Speaker 4>this is going to be a great opportunity. We have

0:20:07.080 --> 0:20:10.560
<v Speaker 4>all these daily movement rates, and so I'm going to

0:20:10.640 --> 0:20:14.600
<v Speaker 4>tinker with this, real simple analyses. I'm gonna take these

0:20:14.680 --> 0:20:18.800
<v Speaker 4>daily movement rates averaged for the population day by day

0:20:18.840 --> 0:20:24.480
<v Speaker 4>by day and daytime movements nighttime movements, and it was

0:20:25.240 --> 0:20:30.040
<v Speaker 4>very apparent that when you plotted that from September all

0:20:30.080 --> 0:20:34.040
<v Speaker 4>the way to six weeks, two months or a month

0:20:34.080 --> 0:20:40.120
<v Speaker 4>plus post rut, all the variation in movement was apparent.

0:20:40.400 --> 0:20:42.960
<v Speaker 4>Is the rut, there is the right difference in daytime

0:20:43.000 --> 0:20:45.920
<v Speaker 4>movement nighttime movement. So so here we go. I'm gonna

0:20:45.920 --> 0:20:50.120
<v Speaker 4>put this on Facebook. So on top of that movement graph,

0:20:50.280 --> 0:20:55.240
<v Speaker 4>I plotted the oscillation of full moon, new moon, full

0:20:55.359 --> 0:20:59.560
<v Speaker 4>moon new and had those superimposed on each other. And

0:20:59.640 --> 0:21:03.040
<v Speaker 4>so you can see that from from the phase of

0:21:03.080 --> 0:21:07.040
<v Speaker 4>the moon from new to full in that period there's

0:21:07.080 --> 0:21:12.479
<v Speaker 4>a little there's no variation in deer movement whatsoever. And

0:21:12.520 --> 0:21:15.560
<v Speaker 4>so I put it out there on Facebook. Appears to me,

0:21:15.840 --> 0:21:19.200
<v Speaker 4>you know, the biology and and the science is very

0:21:19.200 --> 0:21:22.719
<v Speaker 4>clear that that there's nothing going on with the moon phase.

0:21:22.880 --> 0:21:24.680
<v Speaker 4>What state Mississippi?

0:21:25.119 --> 0:21:27.320
<v Speaker 3>Yeah, come on.

0:21:27.320 --> 0:21:29.840
<v Speaker 2>This is the thing, people, this is a.

0:21:29.800 --> 0:21:32.240
<v Speaker 6>Thing you will yeah, okay, they will to be like,

0:21:32.240 --> 0:21:34.240
<v Speaker 6>well you didn't study the deer in Wisconsin.

0:21:35.160 --> 0:21:37.919
<v Speaker 1>Well, what the typical things you can't win. You can't win.

0:21:39.880 --> 0:21:42.480
<v Speaker 4>They won't even say in my state it will be

0:21:42.760 --> 0:21:46.760
<v Speaker 4>but my deer, yes.

0:21:49.040 --> 0:21:51.040
<v Speaker 1>And so the fact I got I got it because

0:21:51.080 --> 0:21:53.080
<v Speaker 1>one thing that you got I never encountered it before.

0:21:53.200 --> 0:21:57.520
<v Speaker 1>So when you're talking about that, you're graphic movement. Can

0:21:57.560 --> 0:22:01.480
<v Speaker 1>you is this the yards per hour? Which great? M okay,

0:22:01.560 --> 0:22:03.879
<v Speaker 1>keep explaining that to people, like when you say, like

0:22:03.880 --> 0:22:06.440
<v Speaker 1>you're measuring movement, like, what what does that mean?

0:22:06.920 --> 0:22:10.320
<v Speaker 4>What's the metric? Yeah, yeah, we typically do yards per

0:22:10.440 --> 0:22:13.879
<v Speaker 4>day or yards per hour. That that's the measurement, and

0:22:13.920 --> 0:22:17.399
<v Speaker 4>that's from the sequential GPS locations, So we're getting a

0:22:17.400 --> 0:22:20.320
<v Speaker 4>location from them every fifteen minutes and so it's just

0:22:20.320 --> 0:22:22.159
<v Speaker 4>the sum of that over whatever period of time and

0:22:22.200 --> 0:22:24.199
<v Speaker 4>you come up with a rate of movement from that.

0:22:24.800 --> 0:22:26.600
<v Speaker 4>So put that out there and a couple of people

0:22:26.680 --> 0:22:29.240
<v Speaker 4>where yeah, I knew nothing was going on with this.

0:22:29.440 --> 0:22:34.840
<v Speaker 4>What's but the overwhelming response was this guy's an idiot?

0:22:35.320 --> 0:22:36.600
<v Speaker 1>Me this guy sure?

0:22:37.080 --> 0:22:40.400
<v Speaker 4>And that has nothing to do with the moon phase.

0:22:40.800 --> 0:22:44.800
<v Speaker 4>That's what Grandpa talked about. What was moon phase. It's

0:22:44.920 --> 0:22:50.200
<v Speaker 4>moon position. It's the so lunar aspect of it. That

0:22:50.200 --> 0:22:53.280
<v Speaker 4>that's what's driving it. So it's what time of the

0:22:53.359 --> 0:22:59.240
<v Speaker 4>day is the moon overhead underfoot? Setting things like that,

0:22:59.400 --> 0:23:02.920
<v Speaker 4>where is the moon on the horizon, and the supposed

0:23:03.800 --> 0:23:08.119
<v Speaker 4>gravitational pull and how that might be impacting. That is

0:23:08.160 --> 0:23:11.280
<v Speaker 4>what got people interested in that. So that was all

0:23:11.320 --> 0:23:13.480
<v Speaker 4>the deal. And I didn't have any data at that

0:23:13.560 --> 0:23:16.680
<v Speaker 4>point to refute it, so I just tucked that away

0:23:16.840 --> 0:23:17.800
<v Speaker 4>like this just.

0:23:17.760 --> 0:23:21.680
<v Speaker 1>Another eggheaded college guy about the mood.

0:23:21.760 --> 0:23:26.000
<v Speaker 4>Yeah, a lot worse than that, but yeah. And so

0:23:26.080 --> 0:23:29.840
<v Speaker 4>that data set sat there and we you know, I

0:23:29.880 --> 0:23:32.000
<v Speaker 4>was holding that we got to do this, We've got

0:23:32.040 --> 0:23:35.680
<v Speaker 4>to do something more sophisticated. And I was very lucky

0:23:35.840 --> 0:23:41.000
<v Speaker 4>to have a coworker, a research analyst at POSTOCU named

0:23:41.080 --> 0:23:47.200
<v Speaker 4>Natasha Ellison. She has a PhD in mathematics, so undergraduate

0:23:47.400 --> 0:23:52.520
<v Speaker 4>masters PhD and mathematics with the application to biology and

0:23:52.720 --> 0:23:56.520
<v Speaker 4>movement ecology, and she actually tinkered with quantum mechanics for

0:23:56.600 --> 0:24:00.520
<v Speaker 4>her master's degree. One of her famous statements is the

0:24:00.560 --> 0:24:04.359
<v Speaker 4>math really wasn't that challenging for physics and quantum mechanics

0:24:04.359 --> 0:24:07.480
<v Speaker 4>with their master's degree. So she's at the tip of

0:24:07.520 --> 0:24:12.320
<v Speaker 4>the spear and understanding how to disentangle all this and uh,

0:24:12.560 --> 0:24:14.919
<v Speaker 4>I'm sure she chuckled and rolled her eyes when I

0:24:14.960 --> 0:24:16.719
<v Speaker 4>told her, it's like, Natasha.

0:24:16.960 --> 0:24:18.159
<v Speaker 3>We got a problem with Bucks.

0:24:18.240 --> 0:24:21.239
<v Speaker 4>We gotta we gotta do. We've got an opportunity and

0:24:21.280 --> 0:24:23.840
<v Speaker 4>this is going to be something No other academic is

0:24:23.920 --> 0:24:27.920
<v Speaker 4>going to spend this amount of time and emotion going

0:24:27.920 --> 0:24:29.760
<v Speaker 4>into this life. But we've got a real opportunity to do,

0:24:29.800 --> 0:24:34.119
<v Speaker 4>hopefully to do something special. And so she analyzed it

0:24:34.359 --> 0:24:39.320
<v Speaker 4>at a way a level of detail that had never

0:24:39.400 --> 0:24:44.600
<v Speaker 4>been done before. And so, but when we were digging

0:24:44.640 --> 0:24:48.240
<v Speaker 4>into that, and when we were trying to figure out

0:24:48.320 --> 0:24:49.920
<v Speaker 4>what we're gonna do, how we're gonna do it, et cetera,

0:24:50.160 --> 0:24:52.960
<v Speaker 4>we thought, you know, what, we need to do a survey.

0:24:53.560 --> 0:24:56.440
<v Speaker 4>We need to we need to figure out what what

0:24:56.560 --> 0:25:01.359
<v Speaker 4>people think and what are their expectations from If there

0:25:01.640 --> 0:25:05.520
<v Speaker 4>is a moon effect, how big is it? And so

0:25:05.840 --> 0:25:08.919
<v Speaker 4>we use the term in science called effect size, and

0:25:08.960 --> 0:25:12.480
<v Speaker 4>so is something statistically significant or not? That's what people

0:25:12.560 --> 0:25:15.840
<v Speaker 4>hear all the time. So it's really not as important

0:25:16.320 --> 0:25:20.399
<v Speaker 4>as effect size. Effect size just means the difference between

0:25:20.400 --> 0:25:23.560
<v Speaker 4>the treatment and the control. You get a one percent increase,

0:25:23.640 --> 0:25:27.280
<v Speaker 4>fifty percent increase, one hundred percent increase. That is what's

0:25:27.840 --> 0:25:32.200
<v Speaker 4>the most important people. So we did survey and got

0:25:32.240 --> 0:25:38.840
<v Speaker 4>to say this, this was not a sociology sanctioned, sophisticated

0:25:38.960 --> 0:25:42.919
<v Speaker 4>survey and that department. This was the MSU dear lab

0:25:43.560 --> 0:25:48.520
<v Speaker 4>us doing social media survey and just saying, hey, all

0:25:48.600 --> 0:25:50.920
<v Speaker 4>you people out there, what do you think about this?

0:25:51.040 --> 0:25:55.960
<v Speaker 4>So what came back was yet eighty three percent eighty

0:25:56.000 --> 0:25:59.359
<v Speaker 4>three percent of the people that responded thought the moon

0:25:59.640 --> 0:26:03.520
<v Speaker 4>is affecting deer movement in some way. And then a

0:26:03.680 --> 0:26:07.840
<v Speaker 4>subset of that, which was always more than half. You say, okay,

0:26:08.080 --> 0:26:12.200
<v Speaker 4>if it is affecting deer movement by how much and

0:26:12.880 --> 0:26:16.760
<v Speaker 4>the effect size they reported or the differences they reported

0:26:17.119 --> 0:26:20.600
<v Speaker 4>for something like betting, the difference in bedding was at

0:26:20.640 --> 0:26:25.199
<v Speaker 4>a minimum, they're on their feet thirty minutes earlier, or

0:26:25.240 --> 0:26:29.359
<v Speaker 4>they're on their feet up to two hours earlier. The

0:26:29.359 --> 0:26:32.600
<v Speaker 4>moon is stimulating them to get up out of their

0:26:32.600 --> 0:26:37.880
<v Speaker 4>bed two hours earlier. The distance that they were moving

0:26:37.960 --> 0:26:42.000
<v Speaker 4>in terms of velocity was always at least fifty yards

0:26:42.040 --> 0:26:46.720
<v Speaker 4>per hour, two greater than two hundred yards per hour.

0:26:47.320 --> 0:26:52.840
<v Speaker 4>So these people that are believing the moon is stimulating movement,

0:26:53.560 --> 0:26:58.520
<v Speaker 4>they're all in God, Yeah, they're different animals under a

0:26:58.560 --> 0:27:00.240
<v Speaker 4>specified moon condition.

0:27:00.240 --> 0:27:04.000
<v Speaker 2>Ronson Were those respondents were they all from that general

0:27:04.040 --> 0:27:06.480
<v Speaker 2>area in Mississippi or were they nationwide?

0:27:06.880 --> 0:27:07.480
<v Speaker 4>Nationwide?

0:27:08.000 --> 0:27:08.200
<v Speaker 1>Yeah?

0:27:08.280 --> 0:27:08.960
<v Speaker 4>Nationwide?

0:27:09.000 --> 0:27:09.440
<v Speaker 1>Certainly.

0:27:09.840 --> 0:27:14.679
<v Speaker 7>Was there a specific concentration among you know, was twenty

0:27:14.760 --> 0:27:18.639
<v Speaker 7>five percent although nationwide twenty five percent respondents from like

0:27:18.960 --> 0:27:19.600
<v Speaker 7>Texas or.

0:27:19.600 --> 0:27:23.199
<v Speaker 4>So difficult for us to tell because that was I

0:27:23.200 --> 0:27:26.360
<v Speaker 4>can't remember it was Facebook or Instagram and you might

0:27:26.359 --> 0:27:29.840
<v Speaker 4>be able to disentangle that. I can't.

0:27:32.480 --> 0:27:35.040
<v Speaker 1>When they did the survey and you had eighty three

0:27:35.080 --> 0:27:39.359
<v Speaker 1>percent say that it did something, was it did you

0:27:39.440 --> 0:27:41.920
<v Speaker 1>find that there was a lot of that they had

0:27:41.960 --> 0:27:47.560
<v Speaker 1>contradictory opinions, meaning some people thought they moved earlier, people

0:27:47.600 --> 0:27:49.800
<v Speaker 1>thought they moved later, or did you find like was

0:27:50.520 --> 0:27:52.200
<v Speaker 1>let me put it a different way instead of exploring

0:27:52.240 --> 0:27:55.560
<v Speaker 1>all the exceptions, what if you had to synthesize it

0:27:55.560 --> 0:28:00.199
<v Speaker 1>and make it that like the general impression was what

0:28:00.480 --> 0:28:01.520
<v Speaker 1>among survey people?

0:28:02.119 --> 0:28:06.280
<v Speaker 4>So during the day they betted less, meaning they're on

0:28:06.320 --> 0:28:10.320
<v Speaker 4>their feet more. They are on their feet if you're

0:28:10.320 --> 0:28:14.360
<v Speaker 4>thinking about an afternoon movement, about they're on their feet earlier,

0:28:14.920 --> 0:28:17.679
<v Speaker 4>and when they are moving they are moving at a

0:28:17.720 --> 0:28:21.680
<v Speaker 4>greater rate of speed. All of that which would result

0:28:21.720 --> 0:28:23.480
<v Speaker 4>in greater observability.

0:28:23.720 --> 0:28:25.600
<v Speaker 3>When there's what happening with the moon.

0:28:26.560 --> 0:28:27.000
<v Speaker 4>Name it.

0:28:28.280 --> 0:28:33.040
<v Speaker 1>Oh, okay, so it's an idea that there's more movement,

0:28:34.720 --> 0:28:39.400
<v Speaker 1>but there's But like the general conception is, the general

0:28:39.400 --> 0:28:43.920
<v Speaker 1>perception is that what depending on what the moon is doing,

0:28:44.240 --> 0:28:46.800
<v Speaker 1>it drives more movement. But there's not a lot of

0:28:46.840 --> 0:28:49.520
<v Speaker 1>a there's not a lot of agreement about what the

0:28:49.560 --> 0:28:53.640
<v Speaker 1>moon needs to be doing to drive more movement. Yeah,

0:28:53.720 --> 0:28:56.560
<v Speaker 1>it's not like a it's not like a full.

0:28:56.360 --> 0:28:58.240
<v Speaker 3>Moon gives more dear movement.

0:28:58.520 --> 0:29:01.760
<v Speaker 1>People might disagree about the detail, but something happens and

0:29:01.800 --> 0:29:04.640
<v Speaker 1>there's more movement based on the moon. I'm not doing

0:29:04.640 --> 0:29:05.680
<v Speaker 1>a very good job of articulate.

0:29:06.120 --> 0:29:11.000
<v Speaker 4>There is a moon situation for every person and their

0:29:11.080 --> 0:29:14.520
<v Speaker 4>pet hypothesis for when I want to go hunt. Okay,

0:29:14.600 --> 0:29:16.480
<v Speaker 4>it's either I'm going to go with the moon overhead

0:29:16.600 --> 0:29:19.280
<v Speaker 4>or the moon underfoot, or the moon is setting or rising,

0:29:19.640 --> 0:29:22.440
<v Speaker 4>or it's a full moon, or we're in the perigy

0:29:22.640 --> 0:29:25.840
<v Speaker 4>or apogee because of the gravitation, it's closer or it's

0:29:25.880 --> 0:29:28.960
<v Speaker 4>further away. Every single day you can pull out a

0:29:29.040 --> 0:29:30.840
<v Speaker 4>scenario of what the moon is doing.

0:29:31.000 --> 0:29:31.360
<v Speaker 1>Got it?

0:29:31.720 --> 0:29:36.440
<v Speaker 3>And but whatever that is, it's driving movement. No, it's

0:29:36.480 --> 0:29:37.360
<v Speaker 3>not you know what I'm saying.

0:29:37.440 --> 0:29:40.960
<v Speaker 1>No, No, in their mind, yeah, and they're sold and

0:29:41.000 --> 0:29:43.880
<v Speaker 1>then and then in their mind yeah, in the mind

0:29:43.880 --> 0:29:45.520
<v Speaker 1>of a And I'm not trying to dog on them

0:29:45.880 --> 0:29:47.440
<v Speaker 1>like in the mind of because, like I said, I

0:29:47.480 --> 0:29:50.040
<v Speaker 1>used to I used to think there was something to it.

0:29:50.080 --> 0:29:52.440
<v Speaker 1>Is it fair to say that that people that believe

0:29:52.520 --> 0:29:56.560
<v Speaker 1>it also believe that there's like the opposite effect. Meaning

0:29:57.880 --> 0:29:59.600
<v Speaker 1>let's say you're a full moon or like you're a

0:29:59.600 --> 0:30:03.400
<v Speaker 1>full moon guy, You're a full moon guy, Like I

0:30:03.440 --> 0:30:07.000
<v Speaker 1>see more deer movement at a full moon? Do they do?

0:30:07.080 --> 0:30:08.720
<v Speaker 3>They usually then believe.

0:30:08.680 --> 0:30:12.280
<v Speaker 1>That there is a opposite effect, So a new moon

0:30:13.080 --> 0:30:17.920
<v Speaker 1>equals yes, an extreme on the other example, like much

0:30:18.000 --> 0:30:18.560
<v Speaker 1>less movement.

0:30:18.640 --> 0:30:21.160
<v Speaker 4>Yeah, that's the reason the deer weren't moving today.

0:30:21.240 --> 0:30:23.600
<v Speaker 1>Yeah, because of the opposite gotcha. So it's not just

0:30:23.680 --> 0:30:25.920
<v Speaker 1>it creates a spike, but it's sort of this like

0:30:26.560 --> 0:30:27.920
<v Speaker 1>trend that moves in and out.

0:30:28.120 --> 0:30:30.080
<v Speaker 4>Yeah, and it has a top and bottom. Ya, a

0:30:30.080 --> 0:30:33.760
<v Speaker 4>spike and then a suppression. Yeah, God during daylight hours.

0:30:33.760 --> 0:30:35.880
<v Speaker 4>And that's what we focused on. What hunters are going

0:30:35.960 --> 0:30:36.960
<v Speaker 4>to see?

0:30:37.640 --> 0:30:40.800
<v Speaker 6>What did your study find that did impact deer movement

0:30:41.360 --> 0:30:42.440
<v Speaker 6>just the rut.

0:30:43.320 --> 0:30:51.160
<v Speaker 4>Yeah, so crepuscular periods. So nothing supersedes this, Nothing comes

0:30:51.240 --> 0:30:57.120
<v Speaker 4>even close to superseding sun up and sundown and the rut.

0:30:58.360 --> 0:31:02.440
<v Speaker 4>There is a subtle, subtle effect of temperature, and that

0:31:02.600 --> 0:31:07.040
<v Speaker 4>is what Natasha, It's really complicated in this multivariate all

0:31:07.080 --> 0:31:10.840
<v Speaker 4>these variables are interacting, but there is a subtle effect

0:31:11.040 --> 0:31:14.480
<v Speaker 4>of temperature. Meaning in our neck of the woods it

0:31:14.520 --> 0:31:16.600
<v Speaker 4>would be different up Nora, uh huh, and our neck

0:31:16.640 --> 0:31:19.560
<v Speaker 4>of the woods, when you start getting sub forty degrees,

0:31:20.240 --> 0:31:23.520
<v Speaker 4>we will see a little bit more higher of a

0:31:23.560 --> 0:31:25.880
<v Speaker 4>movement rate during daylight hours.

0:31:25.920 --> 0:31:28.960
<v Speaker 6>I feel like you're saying that is like the hottest

0:31:28.960 --> 0:31:33.040
<v Speaker 6>take a dear biologist has ever had on deer temperature movement.

0:31:33.280 --> 0:31:35.800
<v Speaker 6>And yeah, yeah, deer movement based on tempera.

0:31:35.920 --> 0:31:38.400
<v Speaker 4>Well, this is the guy right here that said for

0:31:38.720 --> 0:31:41.320
<v Speaker 4>more than a decade, it had nothing to do. We

0:31:41.360 --> 0:31:46.480
<v Speaker 4>do not see any signature whatsoever of temperature. But it

0:31:46.600 --> 0:31:49.400
<v Speaker 4>took more data, and it took the right type of

0:31:49.440 --> 0:31:55.000
<v Speaker 4>person analytically to tease apart very very subtle differences, a

0:31:55.040 --> 0:31:56.280
<v Speaker 4>skill set that I didn't have.

0:31:56.600 --> 0:32:02.040
<v Speaker 1>Yeah, can you lay out you do the survey, and

0:32:02.080 --> 0:32:06.800
<v Speaker 1>then you got to start pulling data, like the surveys

0:32:06.840 --> 0:32:07.280
<v Speaker 1>just kind of a.

0:32:07.240 --> 0:32:08.640
<v Speaker 3>Side project to see where you're at.

0:32:08.760 --> 0:32:12.479
<v Speaker 1>Yeah, so to go get a definitive picture of this.

0:32:13.880 --> 0:32:16.240
<v Speaker 1>What are you doing? Like how many deer are you monitoring?

0:32:16.320 --> 0:32:18.560
<v Speaker 1>How do you monitor the deer? Like what is the

0:32:18.640 --> 0:32:20.240
<v Speaker 1>sort of scale of the project?

0:32:20.560 --> 0:32:24.120
<v Speaker 4>Yeah, so, yeah, this is one thing we wanted to

0:32:24.120 --> 0:32:27.200
<v Speaker 4>do different and probably one of the issues in the past,

0:32:27.280 --> 0:32:30.320
<v Speaker 4>including the stuff I did in the past, is treating

0:32:30.360 --> 0:32:33.920
<v Speaker 4>the population as the population and not looking at individuals.

0:32:34.120 --> 0:32:39.080
<v Speaker 4>There's a lot of individual variation and buck movements. Some

0:32:39.160 --> 0:32:42.680
<v Speaker 4>of them are homebodies, some of them have very disjointed

0:32:43.160 --> 0:32:46.840
<v Speaker 4>home ranges that we call a mobile buck personality home range.

0:32:46.960 --> 0:32:48.800
<v Speaker 4>Some of them move a whole bunch, some of them

0:32:48.840 --> 0:32:51.000
<v Speaker 4>don't move a lot. So we don't want to just

0:32:51.400 --> 0:32:54.480
<v Speaker 4>put all of that together and come up with an average.

0:32:55.040 --> 0:32:58.240
<v Speaker 4>We want to be able to look at every single

0:32:58.280 --> 0:33:02.840
<v Speaker 4>buck and what is his movement profile, and then look

0:33:02.880 --> 0:33:07.360
<v Speaker 4>at when you evaluate all these different moon conditions, is

0:33:07.400 --> 0:33:12.280
<v Speaker 4>the buck's behavior movement behavior deviating from the norm that buck.

0:33:12.720 --> 0:33:15.200
<v Speaker 1>Yeah, you're looking at I see like what is he?

0:33:15.400 --> 0:33:18.400
<v Speaker 1>What is it buck a or buck.

0:33:18.200 --> 0:33:19.760
<v Speaker 3>One twenty one?

0:33:19.920 --> 0:33:22.840
<v Speaker 1>What is buck one? Twenty one's normal groove. That's right,

0:33:23.520 --> 0:33:26.520
<v Speaker 1>and then how does Buck one twenty one's groove switch

0:33:26.520 --> 0:33:26.960
<v Speaker 1>at the moon?

0:33:27.080 --> 0:33:27.560
<v Speaker 4>That's right?

0:33:27.920 --> 0:33:31.400
<v Speaker 1>And then Buck one twenty eight, same thing. And one

0:33:31.400 --> 0:33:33.080
<v Speaker 1>of those bucks might be like a dude who likes

0:33:33.080 --> 0:33:34.560
<v Speaker 1>to cruise, and one of those bucks might be a

0:33:34.640 --> 0:33:35.600
<v Speaker 1>dude who likes to stay home.

0:33:35.680 --> 0:33:37.920
<v Speaker 4>Yeah, So the guy that cruises, does he cruise more?

0:33:38.120 --> 0:33:38.320
<v Speaker 1>You know?

0:33:38.360 --> 0:33:39.840
<v Speaker 3>There is a stay of home guy cruse more?

0:33:39.920 --> 0:33:40.400
<v Speaker 1>Yeah? Yeah.

0:33:41.280 --> 0:33:46.640
<v Speaker 4>And so Natasha went through and so for every single buck,

0:33:46.800 --> 0:33:50.080
<v Speaker 4>she created a fourteen day window. So this is a

0:33:50.160 --> 0:33:54.440
<v Speaker 4>moving window. And so for every fourteen days, she looked

0:33:54.440 --> 0:33:59.280
<v Speaker 4>at the seven days prior seven days and it uh

0:34:00.080 --> 0:34:04.960
<v Speaker 4>behind and calculated for every single hour of the day.

0:34:05.960 --> 0:34:09.960
<v Speaker 4>So for this buck at ten am, she has a

0:34:10.000 --> 0:34:13.760
<v Speaker 4>movement profile of what the average response for that buck

0:34:14.320 --> 0:34:19.400
<v Speaker 4>will be at ten am, calibrated for the prior seven

0:34:19.480 --> 0:34:22.840
<v Speaker 4>days and the future seven days. And so when we

0:34:22.920 --> 0:34:26.920
<v Speaker 4>have some moon alignment or phase or whatever, we then

0:34:27.040 --> 0:34:32.040
<v Speaker 4>look at does that buck's ten am movement pattern deviate

0:34:32.640 --> 0:34:35.879
<v Speaker 4>because of the moon. And so then you do the

0:34:35.920 --> 0:34:40.640
<v Speaker 4>sum of those deviations for every single buck that is

0:34:40.680 --> 0:34:44.239
<v Speaker 4>in the population to come up with a mean response

0:34:45.120 --> 0:34:50.360
<v Speaker 4>and that's how we are able to work through A

0:34:50.520 --> 0:34:54.640
<v Speaker 4>Saturday occurred, big hunting day, a Saturday, the rut occurred.

0:34:54.960 --> 0:34:57.160
<v Speaker 4>It was a really warm period, we had a really

0:34:57.200 --> 0:35:00.720
<v Speaker 4>a cold front. By doing that and having a moving

0:35:00.840 --> 0:35:04.000
<v Speaker 4>average for every single buck, you account for all the

0:35:04.120 --> 0:35:06.960
<v Speaker 4>extraneous noise. Sure that can be going on.

0:35:07.320 --> 0:35:11.279
<v Speaker 1>Huh okay, off the moon because now just you brought

0:35:11.280 --> 0:35:14.759
<v Speaker 1>it up a Saturday, a lot of guys hunting. You

0:35:14.840 --> 0:35:21.400
<v Speaker 1>mentioned it crepuscular period. So sunrise, sunset impacts, the rot impacts,

0:35:21.719 --> 0:35:23.279
<v Speaker 1>temperature impacts.

0:35:24.280 --> 0:35:26.320
<v Speaker 3>Pressure's got to make them not move, right, sure?

0:35:26.400 --> 0:35:30.280
<v Speaker 1>Okay, yeah, so that's true.

0:35:31.040 --> 0:35:35.240
<v Speaker 4>I think it's less about it's not that they're not moving,

0:35:35.600 --> 0:35:40.160
<v Speaker 4>it is where they choose to move based on hunting pressure.

0:35:40.880 --> 0:35:45.480
<v Speaker 4>And so in another study that we did conducted in Oklahoma,

0:35:46.160 --> 0:35:48.360
<v Speaker 4>we and that was set up differently. So that was

0:35:48.400 --> 0:35:53.240
<v Speaker 4>a treatment area where there was hunting pressure and treatment

0:35:53.280 --> 0:35:57.480
<v Speaker 4>area too heavy hunting pressure, and a control area. And

0:35:57.520 --> 0:36:00.560
<v Speaker 4>in those places the deer were collared, the hunters were

0:36:00.560 --> 0:36:05.440
<v Speaker 4>collared carrying a GPSHW and so could we could monitor

0:36:05.480 --> 0:36:07.400
<v Speaker 4>where they were going on the landscape and so forth.

0:36:07.400 --> 0:36:11.200
<v Speaker 4>Then we're watching the bucks be able to move around them,

0:36:11.800 --> 0:36:15.440
<v Speaker 4>and it literally took three to four days, and three

0:36:15.480 --> 0:36:18.879
<v Speaker 4>to four days of there are hunters on the landscape,

0:36:18.920 --> 0:36:24.440
<v Speaker 4>it changed. Something is different. Their the bucks movement behavior changed,

0:36:25.080 --> 0:36:28.839
<v Speaker 4>not as much as total distance moved during the day,

0:36:29.440 --> 0:36:34.719
<v Speaker 4>but where they went on the landscape. And the academic

0:36:35.160 --> 0:36:39.919
<v Speaker 4>term is called their tortuosity, meaning the complexity of their

0:36:40.040 --> 0:36:45.120
<v Speaker 4>movement path changed. That we think was because they had

0:36:45.160 --> 0:36:48.840
<v Speaker 4>to avoid all these different places on the landscape that

0:36:48.920 --> 0:36:51.440
<v Speaker 4>they had three to four days of info was going

0:36:51.520 --> 0:36:53.200
<v Speaker 4>to be associated with hunting in danger.

0:36:55.560 --> 0:36:59.879
<v Speaker 1>Oh but his yards per hour, his his yards per

0:37:00.520 --> 0:37:02.840
<v Speaker 1>stay up, stay consistent.

0:37:02.920 --> 0:37:07.800
<v Speaker 4>In that experiment. Yeah. Yeah, their movement behavior really didn't

0:37:07.920 --> 0:37:12.480
<v Speaker 4>change other than the tortuosity and where they went. So quote,

0:37:12.640 --> 0:37:16.200
<v Speaker 4>they did not go nocturnal. They were still on their

0:37:16.239 --> 0:37:19.400
<v Speaker 4>feet because they got eat They're on their feet, they're forging.

0:37:19.719 --> 0:37:23.600
<v Speaker 4>They're just going to areas where they determine there's not

0:37:23.680 --> 0:37:27.440
<v Speaker 4>going to be hunting pressure, no evidence, no memory of

0:37:27.640 --> 0:37:28.440
<v Speaker 4>human activity.

0:37:28.560 --> 0:37:31.799
<v Speaker 1>Yeah. Old Lady Thompson's house, you know, doesn't let anybody hunt.

0:37:32.840 --> 0:37:35.360
<v Speaker 2>Oh yeah, I was just telling my buddy Seth. We

0:37:35.440 --> 0:37:37.719
<v Speaker 2>came out of the woods after we killed the bull.

0:37:37.760 --> 0:37:41.440
<v Speaker 2>I was telling you about earlier. The next night dead,

0:37:42.080 --> 0:37:43.880
<v Speaker 2>not that it was on fire the night before. I've

0:37:43.920 --> 0:37:46.720
<v Speaker 2>only heard like four or five bugles before that bull died.

0:37:47.040 --> 0:37:50.080
<v Speaker 2>But the next evening we hear like a bugle. It's

0:37:50.120 --> 0:37:53.920
<v Speaker 2>just just dead, still quiet. And I'm remarking to my

0:37:53.960 --> 0:37:56.280
<v Speaker 2>buddy's seth. I'm like, yeah, it was kind of hot,

0:37:56.440 --> 0:38:00.080
<v Speaker 2>no wind. You know, it's just like, you know, they

0:38:00.120 --> 0:38:02.200
<v Speaker 2>don't want to run when they got that big winter codeon.

0:38:02.480 --> 0:38:06.279
<v Speaker 2>He goes, well, where I was at yesterday, We're the

0:38:06.480 --> 0:38:09.480
<v Speaker 2>lasting a big herd out in a private hayfield and

0:38:09.520 --> 0:38:13.200
<v Speaker 2>at four thirty they are ripping. Yeah, you know.

0:38:13.280 --> 0:38:16.440
<v Speaker 1>So it's like, yeah, they found a good place to

0:38:16.480 --> 0:38:20.520
<v Speaker 1>go exactly. Yeah, they're going to do their thing. Huh.

0:38:20.560 --> 0:38:24.520
<v Speaker 1>So the going nocturnal from pressure, they just go do

0:38:24.560 --> 0:38:24.960
<v Speaker 1>what they.

0:38:24.800 --> 0:38:25.799
<v Speaker 3>Want to do somewhere else.

0:38:25.920 --> 0:38:28.880
<v Speaker 4>Yeah, yeah, they just changed their behavior on where they

0:38:28.920 --> 0:38:32.839
<v Speaker 4>spend time. Now, I will say this, there have been

0:38:32.960 --> 0:38:36.359
<v Speaker 4>cases at the deer conference we go to, you know

0:38:36.480 --> 0:38:40.800
<v Speaker 4>every year, there have act there have been some cases

0:38:40.960 --> 0:38:46.640
<v Speaker 4>with GPS or VHF collared bucks where in heavily heavily

0:38:46.760 --> 0:38:53.360
<v Speaker 4>hunted places, a buckbedded all day long. But I literally, Steve,

0:38:53.520 --> 0:38:57.279
<v Speaker 4>I remember that one time. In the thirty years i've

0:38:57.320 --> 0:38:59.480
<v Speaker 4>been going and learning about deer and thinking, I've heard

0:38:59.520 --> 0:39:03.440
<v Speaker 4>of one instance where objectively a buck had a mark,

0:39:03.760 --> 0:39:06.560
<v Speaker 4>a radio caller on it or a GPS collar, and

0:39:06.719 --> 0:39:10.840
<v Speaker 4>it did not move during daylight hours because hunting pressure

0:39:10.920 --> 0:39:14.680
<v Speaker 4>was all around God and all these other instances. They're

0:39:14.800 --> 0:39:17.440
<v Speaker 4>up on their feet and moving. Now they may not be.

0:39:17.560 --> 0:39:21.200
<v Speaker 4>You have to look at what's called the step length,

0:39:21.719 --> 0:39:25.480
<v Speaker 4>the movement path. So step length is a surrogate for velocity.

0:39:25.920 --> 0:39:28.160
<v Speaker 4>So if you're getting a ping from that collar every

0:39:28.200 --> 0:39:32.080
<v Speaker 4>fifteen minutes, if he's got a really high rate of speed,

0:39:32.120 --> 0:39:35.759
<v Speaker 4>you're going to cover more distance in fifteen minutes. And

0:39:35.800 --> 0:39:39.279
<v Speaker 4>so what you will see is that their yards per

0:39:39.320 --> 0:39:43.320
<v Speaker 4>hour can slow down, but they're still on their feet

0:39:43.400 --> 0:39:44.720
<v Speaker 4>and they're foraging and moving.

0:39:46.400 --> 0:39:49.600
<v Speaker 3>The other day, we were watching a bull moose.

0:39:50.840 --> 0:39:55.080
<v Speaker 1>Doing his like rut wander, and he was going through

0:39:55.080 --> 0:39:59.680
<v Speaker 1>this big alpine area and we watched them, I mean,

0:40:00.320 --> 0:40:06.040
<v Speaker 1>we watched him go a couple miles fast, and we're

0:40:06.080 --> 0:40:08.399
<v Speaker 1>waiting for him to stop. He was so far away

0:40:08.400 --> 0:40:10.160
<v Speaker 1>where like, well, when he stops, we'll try to call

0:40:10.200 --> 0:40:13.520
<v Speaker 1>and see if he registers the noise at all. We

0:40:13.560 --> 0:40:18.080
<v Speaker 1>watched him go a couple of miles and never stopped once,

0:40:18.600 --> 0:40:24.200
<v Speaker 1>just moving, just cruising, and you're like, where what you know,

0:40:24.320 --> 0:40:27.200
<v Speaker 1>what is his concept of where he's going? But just

0:40:28.640 --> 0:40:33.680
<v Speaker 1>moving and yeah, he's not afraid of anything. Yeah, I'm

0:40:33.680 --> 0:40:34.600
<v Speaker 1>not afraid of anything.

0:40:34.960 --> 0:40:39.680
<v Speaker 6>Yeah. Whitetail hunters have this time period between October ten

0:40:39.800 --> 0:40:43.120
<v Speaker 6>October twenty they refer to as the October Law. And

0:40:43.200 --> 0:40:45.080
<v Speaker 6>if you were to if you lived in a state

0:40:45.120 --> 0:40:48.240
<v Speaker 6>where the deer season is September one to December thirty,

0:40:48.280 --> 0:40:51.040
<v Speaker 6>first they would tell you that is the hardest ten

0:40:51.120 --> 0:40:54.399
<v Speaker 6>day stretch to kill a buck because they're nocturnal. What

0:40:54.440 --> 0:40:57.680
<v Speaker 6>are your movement studies say about that?

0:40:57.760 --> 0:41:01.000
<v Speaker 4>There is no lull that that does does not exist.

0:41:01.200 --> 0:41:03.879
<v Speaker 6>Not in any form. Like they're not only are they

0:41:03.920 --> 0:41:07.040
<v Speaker 6>not nocturnal during that period, but they're also like they're

0:41:07.080 --> 0:41:09.799
<v Speaker 6>moving more in that period than they were October one

0:41:09.840 --> 0:41:10.640
<v Speaker 6>to October Tenen.

0:41:11.000 --> 0:41:14.040
<v Speaker 4>I can't say they're moving more, but they're moving. And

0:41:14.280 --> 0:41:16.560
<v Speaker 4>this is just sit in the Mississippi State data here.

0:41:16.680 --> 0:41:20.239
<v Speaker 4>This is over and over again that there is no law.

0:41:20.600 --> 0:41:24.239
<v Speaker 4>But what can be going on at that time is

0:41:25.040 --> 0:41:28.920
<v Speaker 4>you have got a shuffling, so to speak. It's a

0:41:29.000 --> 0:41:32.400
<v Speaker 4>little bit late in October. So think about bachelor groups

0:41:32.800 --> 0:41:37.120
<v Speaker 4>during the summer box low testosterone velvet, and then we

0:41:37.160 --> 0:41:41.560
<v Speaker 4>get into September October, testosterone is surging through their body again.

0:41:41.640 --> 0:41:44.480
<v Speaker 4>They start getting into hard antler and then they start

0:41:44.520 --> 0:41:49.040
<v Speaker 4>shifting and moving around and setting up their fall winter

0:41:49.480 --> 0:41:52.759
<v Speaker 4>rut home ranges. So I think what's going on a

0:41:52.800 --> 0:41:55.840
<v Speaker 4>lot there is you've had a couple months or a

0:41:55.840 --> 0:42:00.560
<v Speaker 4>couple weeks of seeing the deer that you're normally seeing,

0:42:01.200 --> 0:42:03.560
<v Speaker 4>and then you get into that period in October where

0:42:03.560 --> 0:42:07.160
<v Speaker 4>a shuffle is coming and so they're moving in different

0:42:07.200 --> 0:42:09.720
<v Speaker 4>areas or they have left your area where your trail

0:42:09.760 --> 0:42:12.600
<v Speaker 4>camera is at, but they're still moving.

0:42:13.160 --> 0:42:13.359
<v Speaker 1>Yeah.

0:42:13.360 --> 0:42:16.640
<v Speaker 6>I think like if I was speaking to hunters in

0:42:16.680 --> 0:42:19.000
<v Speaker 6>eastern South Dakota where I grew up, I bet they

0:42:19.000 --> 0:42:22.360
<v Speaker 6>are seeing less movement in that period. But it's because

0:42:22.360 --> 0:42:24.880
<v Speaker 6>now there's combines in the fields. It's because there are

0:42:24.920 --> 0:42:27.960
<v Speaker 6>acorns on the ground. It's because pheasant season just opened

0:42:28.040 --> 0:42:30.280
<v Speaker 6>and that's kicked deer out of some beds. In CRP

0:42:30.760 --> 0:42:34.480
<v Speaker 6>like that, there is a lull happening that's very specific

0:42:34.520 --> 0:42:37.360
<v Speaker 6>to them, but it's not because the buck is now nocturnal.

0:42:37.560 --> 0:42:39.719
<v Speaker 6>It's because he's just moving in a different way in

0:42:39.719 --> 0:42:40.360
<v Speaker 6>a different place.

0:42:40.520 --> 0:42:42.319
<v Speaker 3>You're in a strategic.

0:42:41.840 --> 0:42:45.920
<v Speaker 1>Low, yes, where like all summer, these five bucks come

0:42:45.920 --> 0:42:48.640
<v Speaker 1>into that beanfield and all of a sudden they're not

0:42:48.719 --> 0:42:49.200
<v Speaker 1>there anymore.

0:42:49.320 --> 0:42:51.160
<v Speaker 6>Yeah, And I think it can be true that that's

0:42:51.239 --> 0:42:53.560
<v Speaker 6>like maybe the hardest ten day window to kill a

0:42:53.560 --> 0:42:56.640
<v Speaker 6>mature buck. But it's not because he's unkillable.

0:42:57.880 --> 0:43:01.239
<v Speaker 4>Yeah, he's just in a different place. Yeah, you got

0:43:01.239 --> 0:43:05.160
<v Speaker 4>to go look for him. Now Here's us really interesting

0:43:05.400 --> 0:43:10.279
<v Speaker 4>to me is we we looked at So we had

0:43:10.320 --> 0:43:12.600
<v Speaker 4>to have deer where we had to have two years

0:43:12.960 --> 0:43:15.400
<v Speaker 4>of them being collared. So we had a lot of

0:43:15.440 --> 0:43:17.600
<v Speaker 4>deer come and go, you know, why is.

0:43:17.560 --> 0:43:21.120
<v Speaker 3>That that you had Why two years? What's the significance.

0:43:21.040 --> 0:43:26.440
<v Speaker 4>Because the question, like Spencer was alluding to, is do

0:43:26.480 --> 0:43:31.120
<v Speaker 4>they have fidelity for a site the following year? So

0:43:31.400 --> 0:43:34.640
<v Speaker 4>if you see it in a particular place this October,

0:43:35.120 --> 0:43:37.319
<v Speaker 4>what are the odds you're going to see it next year?

0:43:37.800 --> 0:43:40.520
<v Speaker 4>So we had to limit our data just to bucks

0:43:40.800 --> 0:43:42.799
<v Speaker 4>that so it's a subset of that that we had

0:43:42.920 --> 0:43:47.840
<v Speaker 4>two years of data and it was really amazing. Is

0:43:47.880 --> 0:43:51.879
<v Speaker 4>that on the average when you got to after that

0:43:52.200 --> 0:43:55.239
<v Speaker 4>October kind of break up and shuffling, and when they

0:43:55.280 --> 0:44:00.279
<v Speaker 4>went back and started settling into that area, the average

0:44:00.360 --> 0:44:05.200
<v Speaker 4>distance on a daily scale. And so what we did is,

0:44:05.640 --> 0:44:09.960
<v Speaker 4>where is this buck at five pm October ninth, twenty

0:44:10.000 --> 0:44:13.800
<v Speaker 4>twenty four. Where is it at October ninth, five pm,

0:44:13.880 --> 0:44:16.760
<v Speaker 4>twenty twenty five? About a thousand yards apart?

0:44:17.719 --> 0:44:18.239
<v Speaker 1>Is that right?

0:44:19.800 --> 0:44:21.200
<v Speaker 4>About a thousand yards apart?

0:44:21.600 --> 0:44:24.279
<v Speaker 1>See, if you're hunting ten ac or parcels, that's a lot.

0:44:26.000 --> 0:44:28.879
<v Speaker 4>And that could absolutely be off property and you may

0:44:28.920 --> 0:44:32.760
<v Speaker 4>never see it again. But he's in the neighborhood. If

0:44:32.800 --> 0:44:34.400
<v Speaker 4>he's alive, he's in the neighborhood.

0:44:34.520 --> 0:44:35.160
<v Speaker 1>Yeah. God.

0:44:36.800 --> 0:44:39.080
<v Speaker 6>I used to work with a lot of fish biologists,

0:44:39.120 --> 0:44:41.720
<v Speaker 6>and I found that there were equal number of fish

0:44:41.719 --> 0:44:45.759
<v Speaker 6>biologists who were hardcore anglers as there were guys who

0:44:45.840 --> 0:44:48.600
<v Speaker 6>never fished a day a year, like they just literally

0:44:48.719 --> 0:44:51.440
<v Speaker 6>never wed a line. And I found that they would

0:44:51.800 --> 0:44:54.480
<v Speaker 6>ask very different questions when it came to what they

0:44:54.520 --> 0:44:57.840
<v Speaker 6>were studying. What do you notice for what percentage of

0:44:57.880 --> 0:45:01.200
<v Speaker 6>dear biologists are hardcore hunters? These guys who just like

0:45:01.400 --> 0:45:02.160
<v Speaker 6>never fill a tag?

0:45:04.600 --> 0:45:06.640
<v Speaker 1>Good question, are.

0:45:06.880 --> 0:45:07.600
<v Speaker 6>You a big hunter?

0:45:08.120 --> 0:45:09.359
<v Speaker 4>I am? I am?

0:45:09.560 --> 0:45:10.920
<v Speaker 6>Which do you think that's normal.

0:45:12.320 --> 0:45:16.440
<v Speaker 4>Yeah, yeah, I do. I guess hardcore is a scale,

0:45:16.880 --> 0:45:22.000
<v Speaker 4>you know, I would say probably seventy five percent. There

0:45:22.000 --> 0:45:25.799
<v Speaker 4>are absolutely some that love deer and just ungulates, you know,

0:45:26.000 --> 0:45:28.280
<v Speaker 4>and study that type of stuff, that aren't big hunters.

0:45:28.640 --> 0:45:30.319
<v Speaker 4>But I would say on the white tail side, at

0:45:30.360 --> 0:45:32.040
<v Speaker 4>least the ones I'm thinking about off the top of

0:45:32.080 --> 0:45:33.279
<v Speaker 4>my head, they all hunt.

0:45:33.320 --> 0:45:35.399
<v Speaker 6>Until like that twenty five percent. You don't think those

0:45:35.440 --> 0:45:36.520
<v Speaker 6>folks hunt at all?

0:45:38.480 --> 0:45:42.200
<v Speaker 4>Probably not, okay. I think they're enamored with the deer

0:45:42.480 --> 0:45:47.000
<v Speaker 4>and ecology of it. The system really excites them. Yeah,

0:45:47.040 --> 0:45:49.040
<v Speaker 4>But then picking up our bow or rifle just in

0:45:49.200 --> 0:45:49.760
<v Speaker 4>their things.

0:45:49.600 --> 0:45:52.520
<v Speaker 6>And do you notice anything different with like those biologies? Yeah,

0:45:52.560 --> 0:45:54.080
<v Speaker 6>the questions okay.

0:45:53.840 --> 0:45:57.040
<v Speaker 4>The questions I asked typically that type of part and

0:45:57.080 --> 0:45:58.640
<v Speaker 4>this isn't good or bad, it's just different.

0:45:59.120 --> 0:46:01.799
<v Speaker 6>But I think it needs both, like the field needs

0:46:01.800 --> 0:46:02.239
<v Speaker 6>both of those.

0:46:02.320 --> 0:46:06.960
<v Speaker 4>Yeah, yeah, right. I would say they're more the theory

0:46:07.800 --> 0:46:11.720
<v Speaker 4>type of stuff, which is really important ecological grounding in theory.

0:46:12.280 --> 0:46:15.279
<v Speaker 4>And then people like me is more about the application,

0:46:16.200 --> 0:46:19.280
<v Speaker 4>and you know, my roles extension. So then what's the application?

0:46:19.400 --> 0:46:21.279
<v Speaker 4>How do I tell people about it? What does it

0:46:21.320 --> 0:46:24.040
<v Speaker 4>mean to you for hunting? Your land or managing your land.

0:46:24.600 --> 0:46:27.520
<v Speaker 1>Yeah, I want to hit you with a bunch of

0:46:29.719 --> 0:46:31.680
<v Speaker 1>once we cover off on them. We sold this pretty

0:46:31.680 --> 0:46:34.560
<v Speaker 1>heavy on the moon thing. But let's let's put the

0:46:34.600 --> 0:46:36.399
<v Speaker 1>moon thing to bed. So I want to get into

0:46:36.440 --> 0:46:38.319
<v Speaker 1>other things that drive I want to get into other

0:46:38.360 --> 0:46:41.360
<v Speaker 1>things that drive changes of movement and other things about

0:46:42.200 --> 0:46:44.520
<v Speaker 1>Like you mentioned that different deer have different personalities. I'd

0:46:44.520 --> 0:46:46.640
<v Speaker 1>love to hear more about that. Let's close out on

0:46:46.680 --> 0:46:52.520
<v Speaker 1>this moon thing for a little bit out put some

0:46:52.640 --> 0:46:58.279
<v Speaker 1>numbers to us, or put some way of expressing the

0:46:59.600 --> 0:47:03.040
<v Speaker 1>how much which you can rule out and how much

0:47:03.080 --> 0:47:06.600
<v Speaker 1>could still be up for grabs. Meaning Mark thing is like, hey, listen,

0:47:07.640 --> 0:47:10.319
<v Speaker 1>if a buck comes out. If I'm watching a buck

0:47:10.680 --> 0:47:12.400
<v Speaker 1>and I can't catch him out in the daylight and

0:47:12.440 --> 0:47:15.640
<v Speaker 1>he comes out five minutes early because of the moonface,

0:47:15.760 --> 0:47:16.719
<v Speaker 1>that's a big deal to me.

0:47:17.440 --> 0:47:19.000
<v Speaker 3>Are they catching that in the research?

0:47:19.040 --> 0:47:21.600
<v Speaker 1>You know? That was his question, right, like, when they're

0:47:21.640 --> 0:47:25.680
<v Speaker 1>looking at these general things, like they generally don't change

0:47:25.680 --> 0:47:27.560
<v Speaker 1>their behavior. But he says, but let's say it's just

0:47:27.600 --> 0:47:33.080
<v Speaker 1>five minutes, right, That to me matters, Like when you

0:47:33.120 --> 0:47:35.480
<v Speaker 1>look at it, how like what degree of certainty are

0:47:35.480 --> 0:47:40.080
<v Speaker 1>you comfortable putting on that there is there isn't any

0:47:40.080 --> 0:47:41.920
<v Speaker 1>impact because you're always going to have guys that are like,

0:47:41.920 --> 0:47:44.400
<v Speaker 1>he doesn't know what he's talking about, yeah, yeah, or

0:47:44.440 --> 0:47:47.719
<v Speaker 1>he's not detecting what I'm seeing because I'm seeing things

0:47:47.719 --> 0:47:50.000
<v Speaker 1>at a micro scale and he's looking to macro.

0:47:50.719 --> 0:47:55.279
<v Speaker 4>And I don't ever think we can produce anything that's

0:47:55.320 --> 0:47:59.160
<v Speaker 4>going to affect that person. So when you get in

0:47:59.680 --> 0:48:01.880
<v Speaker 4>got feedback from people, and this was part when we

0:48:01.920 --> 0:48:05.680
<v Speaker 4>when we reached out initially doing this survey. We had

0:48:06.080 --> 0:48:08.880
<v Speaker 4>and I would call them the saddle bow hunter. I

0:48:08.920 --> 0:48:11.759
<v Speaker 4>mean they are just locked in. They they're trying to

0:48:11.840 --> 0:48:15.840
<v Speaker 4>hunt close to cover. And so if if that buck

0:48:15.960 --> 0:48:20.080
<v Speaker 4>is walking out thirty seconds earlier and five more steps,

0:48:20.120 --> 0:48:20.920
<v Speaker 4>I got a shot.

0:48:21.040 --> 0:48:21.320
<v Speaker 1>Yep.

0:48:22.960 --> 0:48:26.319
<v Speaker 4>So what we looked at is, of course, like we

0:48:26.400 --> 0:48:31.440
<v Speaker 4>explained earlier deviation from normal. We did eighty five different analyzes,

0:48:32.120 --> 0:48:35.840
<v Speaker 4>so we we made eighty five different comparisons of all

0:48:35.920 --> 0:48:39.960
<v Speaker 4>the different moon stuff you can put together. And the

0:48:39.960 --> 0:48:47.680
<v Speaker 4>the average response for bedding time deviations were less than

0:48:47.719 --> 0:48:50.840
<v Speaker 4>a minute. A couple of them were two or three minutes.

0:48:52.120 --> 0:48:55.399
<v Speaker 4>But and not to get too deep in the stats here,

0:48:56.040 --> 0:48:59.839
<v Speaker 4>when you run that many analyzes you're gonna you're gonna

0:48:59.880 --> 0:49:02.840
<v Speaker 4>hear your results are gonna follow a bell shaped curve.

0:49:04.200 --> 0:49:07.080
<v Speaker 4>You're gonna get some results that were positive. You're gonna

0:49:07.080 --> 0:49:11.200
<v Speaker 4>get some results that were negative. And so when you

0:49:11.280 --> 0:49:14.640
<v Speaker 4>look at the body of everything that we did, we

0:49:14.680 --> 0:49:17.319
<v Speaker 4>had a couple instances where the deer were on their

0:49:17.320 --> 0:49:22.000
<v Speaker 4>feet a few seconds earlier, maybe a minute earlier. We

0:49:22.080 --> 0:49:24.680
<v Speaker 4>had some results where they stayed in their bed a

0:49:24.719 --> 0:49:28.280
<v Speaker 4>few seconds or a minute longer. We had some results

0:49:28.360 --> 0:49:31.480
<v Speaker 4>where the yard per hour and so think about that.

0:49:31.560 --> 0:49:35.680
<v Speaker 4>Put that in your terms. My pace, one of my steps.

0:49:35.320 --> 0:49:35.840
<v Speaker 1>Is a yard.

0:49:37.200 --> 0:49:39.560
<v Speaker 4>And so when you talk about, yeah, we found a

0:49:39.560 --> 0:49:42.040
<v Speaker 4>big result on such and such a moon condition, they

0:49:42.040 --> 0:49:46.360
<v Speaker 4>were moving three yards per hour more. That's three steps

0:49:47.160 --> 0:49:52.359
<v Speaker 4>and one hour three steps. Now, if that motivates you,

0:49:52.480 --> 0:49:55.040
<v Speaker 4>and that does get back when I'm given this as

0:49:55.040 --> 0:49:57.360
<v Speaker 4>a seminar and people are ready to throw beer cans

0:49:57.360 --> 0:50:00.399
<v Speaker 4>and rotten tomatoes and all that stuff at me. If

0:50:00.400 --> 0:50:02.440
<v Speaker 4>it makes you feel good, man, if this is your

0:50:02.480 --> 0:50:08.240
<v Speaker 4>placebo effect, yeah, roll with it. If it instills more

0:50:08.360 --> 0:50:11.440
<v Speaker 4>confidence in you, that's such and such moon condition, and

0:50:11.480 --> 0:50:14.719
<v Speaker 4>I'm gonna be more alert and I'm gonna get to

0:50:14.760 --> 0:50:17.200
<v Speaker 4>the stand thirty minutes earlier, because this is a red

0:50:17.239 --> 0:50:20.600
<v Speaker 4>moon day. You know, then, by God, keep doing it

0:50:21.360 --> 0:50:23.880
<v Speaker 4>if it makes you happy, but the evidence does not

0:50:23.960 --> 0:50:24.480
<v Speaker 4>support it.

0:50:24.880 --> 0:50:28.240
<v Speaker 6>In college, I would get the field in Stream magazine

0:50:28.280 --> 0:50:30.279
<v Speaker 6>and they would always predict the rut, the best days

0:50:30.280 --> 0:50:32.200
<v Speaker 6>of the rut. And I think it was maybe a

0:50:32.280 --> 0:50:36.080
<v Speaker 6>sophomore and I had saw that, like, the best day

0:50:36.120 --> 0:50:37.920
<v Speaker 6>of the rut this year was on a Saturday. I

0:50:38.000 --> 0:50:41.520
<v Speaker 6>was available, So I did what you're talking about. I

0:50:41.600 --> 0:50:43.640
<v Speaker 6>sat in my best stand that day that I had

0:50:43.680 --> 0:50:45.800
<v Speaker 6>saved for a week leading up to it because I

0:50:46.120 --> 0:50:47.799
<v Speaker 6>knew it was the best day of the rut. I

0:50:47.840 --> 0:50:50.399
<v Speaker 6>got there earlier, I packed lunch to be there all day.

0:50:50.480 --> 0:50:52.479
<v Speaker 6>I was more alert because I was like, it's going

0:50:52.560 --> 0:50:54.840
<v Speaker 6>to happen. And then a buck showed up and the

0:50:55.000 --> 0:50:57.360
<v Speaker 6>killed him, and so I was just more confidence and

0:50:57.400 --> 0:51:00.320
<v Speaker 6>I was a better hunter. That day was going to

0:51:01.400 --> 0:51:05.120
<v Speaker 6>optimistic and so that that I think that that can

0:51:05.160 --> 0:51:05.840
<v Speaker 6>work for people.

0:51:05.840 --> 0:51:08.799
<v Speaker 4>That can be a thing, and keep doing it. If

0:51:08.840 --> 0:51:12.080
<v Speaker 4>it keeps working for you, keep doing it, keep taking

0:51:12.120 --> 0:51:16.120
<v Speaker 4>the placebo. Placebo effect is really really powerful. There's some

0:51:16.160 --> 0:51:19.160
<v Speaker 4>cool science behind that as well. Sure, but yeah, you

0:51:19.160 --> 0:51:21.440
<v Speaker 4>took the words out of my mouth. But I wonder

0:51:21.560 --> 0:51:25.080
<v Speaker 4>if you had gone five additional times under those exact

0:51:25.080 --> 0:51:27.520
<v Speaker 4>same conditions and you didn't have a good day.

0:51:27.520 --> 0:51:30.360
<v Speaker 6>Totally, if you remember the good ones, then I was like,

0:51:30.440 --> 0:51:32.399
<v Speaker 6>it was because this was the best day of the rut,

0:51:32.400 --> 0:51:35.760
<v Speaker 6>as Field and Stream had deemed it. You know, looking

0:51:35.800 --> 0:51:38.160
<v Speaker 6>back now and since I've like formed my own white

0:51:38.160 --> 0:51:41.800
<v Speaker 6>tail opinions, I recognized I was just very confident that day.

0:51:41.760 --> 0:51:43.520
<v Speaker 4>And Field and that was throughout the range of the

0:51:43.560 --> 0:51:44.279
<v Speaker 4>white tailed deer.

0:51:44.440 --> 0:51:45.920
<v Speaker 1>Yeah, but this was going to be the day.

0:51:46.080 --> 0:51:52.359
<v Speaker 6>Yeah, yep, yeah, so that should totally. I got one

0:51:52.360 --> 0:51:55.080
<v Speaker 6>more moon question before we move on. Charles Allsheimer he

0:51:55.200 --> 0:51:58.840
<v Speaker 6>had developed like the rutting moon theory in the nineties

0:51:58.840 --> 0:52:00.480
<v Speaker 6>that caught on with a lot of guys, and the

0:52:00.560 --> 0:52:04.040
<v Speaker 6>running moon theory is that the second full moon after

0:52:04.080 --> 0:52:07.560
<v Speaker 6>the autumn equinox is what triggers the white tail rut.

0:52:07.680 --> 0:52:10.759
<v Speaker 6>That's like, this is the beginning of it. And in

0:52:10.800 --> 0:52:13.200
<v Speaker 6>his theory he had determined there are three types of

0:52:13.239 --> 0:52:15.160
<v Speaker 6>white tail ruts. You could have it a given year

0:52:15.239 --> 0:52:16.880
<v Speaker 6>based on when that second.

0:52:16.640 --> 0:52:18.640
<v Speaker 1>Moon fo Okay, bag, I want to make sure I'm

0:52:18.680 --> 0:52:21.880
<v Speaker 1>tracking autumn equin second full.

0:52:21.719 --> 0:52:23.879
<v Speaker 6>Moon, right, not the first one, the second one.

0:52:24.000 --> 0:52:25.879
<v Speaker 1>When I got that part, but then you said another

0:52:25.960 --> 0:52:26.799
<v Speaker 1>thing that threw me off.

0:52:26.840 --> 0:52:29.839
<v Speaker 6>So that that second full moon could land in late October,

0:52:29.960 --> 0:52:32.959
<v Speaker 6>it could land in mid November, okay, based on when

0:52:33.000 --> 0:52:36.200
<v Speaker 6>that would fall. You could have one of three ruts.

0:52:36.440 --> 0:52:39.440
<v Speaker 6>You could have a synchronized rut, which is if it's

0:52:39.480 --> 0:52:43.359
<v Speaker 6>between like October thirty one and November five. You could

0:52:43.360 --> 0:52:47.200
<v Speaker 6>have a classic rut, which is like November six to thirteen,

0:52:47.719 --> 0:52:50.560
<v Speaker 6>or you could have a trickle rut, which is November

0:52:50.600 --> 0:52:51.200
<v Speaker 6>thirteen on.

0:52:51.520 --> 0:52:51.800
<v Speaker 1>Huh.

0:52:51.960 --> 0:52:55.680
<v Speaker 6>And it's it's basically saying that like some years, if

0:52:55.719 --> 0:52:58.919
<v Speaker 6>you have a trickle rut, for example, maybe that Bell

0:52:59.000 --> 0:53:01.560
<v Speaker 6>curve you're talking about is flat at the top and

0:53:01.600 --> 0:53:05.760
<v Speaker 6>it's just wider, Whereas if you have a synchronized rut

0:53:06.120 --> 0:53:09.480
<v Speaker 6>where you get that full moon on November third, now

0:53:09.480 --> 0:53:11.879
<v Speaker 6>the Bell curve has a really tall peak in it,

0:53:12.000 --> 0:53:15.000
<v Speaker 6>and it's skinnier. Is that anything you've ever seen that

0:53:15.160 --> 0:53:17.960
<v Speaker 6>some years the rut was longer or shorter.

0:53:18.680 --> 0:53:24.640
<v Speaker 1>No, no, no, never even outside of the moon, like

0:53:24.800 --> 0:53:25.600
<v Speaker 1>never mind the moon.

0:53:26.200 --> 0:53:29.880
<v Speaker 4>Yeah, not from from year to year in a place.

0:53:30.040 --> 0:53:33.800
<v Speaker 4>And so when you talk about a you know, a

0:53:33.840 --> 0:53:37.360
<v Speaker 4>protracted rut or a trickle rut. All that stuff is

0:53:37.680 --> 0:53:41.080
<v Speaker 4>related to sex ratio of the population, so we can

0:53:41.200 --> 0:53:45.200
<v Speaker 4>manipulate that with management. Here it has nothing to do

0:53:45.520 --> 0:53:50.040
<v Speaker 4>with the moon. It is about the availability of dozen

0:53:50.280 --> 0:53:54.200
<v Speaker 4>estres and enough box to serve them when they are

0:53:54.200 --> 0:53:58.160
<v Speaker 4>in standing heat. If your sex ratio becomes so biased

0:53:58.200 --> 0:54:01.080
<v Speaker 4>that the dozen estres there is not a buck to

0:54:01.640 --> 0:54:05.520
<v Speaker 4>copulate twenty eight later days later, she's going to cycle

0:54:05.600 --> 0:54:08.360
<v Speaker 4>and come into heat again, and there is your trickle

0:54:08.480 --> 0:54:13.000
<v Speaker 4>or your extended rut. Or if you have dough fawns,

0:54:13.360 --> 0:54:16.560
<v Speaker 4>dough fawnts will typically the proportion of them that do

0:54:16.640 --> 0:54:19.080
<v Speaker 4>come into estres are going to come in a little

0:54:19.080 --> 0:54:19.640
<v Speaker 4>bit later.

0:54:20.200 --> 0:54:25.360
<v Speaker 1>So adult adult that has a faun with her and

0:54:25.360 --> 0:54:27.080
<v Speaker 1>she's trying to get rid of it in the fall,

0:54:27.680 --> 0:54:30.640
<v Speaker 1>she'll come into estris later than adult that did that

0:54:30.719 --> 0:54:32.000
<v Speaker 1>didn't was not carrying a faun.

0:54:32.320 --> 0:54:36.600
<v Speaker 4>I'm sorry, I misspoke, though, uh not everywhere. This varies

0:54:36.760 --> 0:54:39.560
<v Speaker 4>depending on where you're at in the US. In Mississippi,

0:54:39.560 --> 0:54:43.560
<v Speaker 4>for example, ten to fifteen percent of dough faunds or

0:54:43.680 --> 0:54:47.040
<v Speaker 4>do funds will reach sufficient body size and condition to

0:54:47.200 --> 0:54:49.680
<v Speaker 4>come into heat. They're never going to come in at

0:54:49.680 --> 0:54:52.880
<v Speaker 4>the peak of the rut, it'll be two three weeks

0:54:52.920 --> 0:54:56.960
<v Speaker 4>a month later by the time they've reached physiological condition

0:54:57.000 --> 0:54:58.320
<v Speaker 4>where they can come into estras.

0:54:58.320 --> 0:55:00.239
<v Speaker 1>Got it, so that we'll be part of it, and

0:55:00.280 --> 0:55:02.280
<v Speaker 1>that can drive a little late rut action.

0:55:02.480 --> 0:55:03.240
<v Speaker 4>That's your trickle.

0:55:03.680 --> 0:55:06.560
<v Speaker 6>If you do believe in the rutting moon. This year

0:55:06.640 --> 0:55:09.799
<v Speaker 6>twenty twenty five, it is November fifth, so you're you're

0:55:09.920 --> 0:55:14.200
<v Speaker 6>like straddling a synchronized rut and a classic rut, meaning

0:55:14.239 --> 0:55:15.759
<v Speaker 6>that like November five to ten.

0:55:15.880 --> 0:55:16.480
<v Speaker 2>Period.

0:55:16.480 --> 0:55:20.920
<v Speaker 4>Wow, it's gonna be November five to ten. All right,

0:55:20.960 --> 0:55:22.000
<v Speaker 4>let's back it up like those.

0:55:23.280 --> 0:55:24.880
<v Speaker 6>To be clear, I don't believe in this either. I

0:55:24.920 --> 0:55:27.960
<v Speaker 6>just love that, but I throw out this thing because

0:55:27.960 --> 0:55:28.440
<v Speaker 6>some people do.

0:55:28.520 --> 0:55:31.200
<v Speaker 1>But then he and then he, he says that's not right,

0:55:31.239 --> 0:55:33.200
<v Speaker 1>and then you alert everybody what day.

0:55:33.080 --> 0:55:36.480
<v Speaker 6>To be Because because I love that people do believe it.

0:55:36.520 --> 0:55:39.040
<v Speaker 6>I really appreciate that those folks have taken the time

0:55:39.120 --> 0:55:42.480
<v Speaker 6>to develop a theory and to spread that theory around.

0:55:42.719 --> 0:55:45.480
<v Speaker 2>Reason you have bigfoot experts on radio the other day.

0:55:45.480 --> 0:55:49.880
<v Speaker 7>Exactly, we need a new believer hat it's not just

0:55:49.920 --> 0:55:51.120
<v Speaker 7>the black bucket of moon.

0:55:51.280 --> 0:55:53.240
<v Speaker 1>Yeah, exactly, that's great idea.

0:55:53.400 --> 0:55:56.560
<v Speaker 3>Oh, core full moon buck, That says believer.

0:55:58.680 --> 0:56:04.520
<v Speaker 4>What's the purpose of the timing of the ruts when

0:56:04.640 --> 0:56:08.160
<v Speaker 4>the fawns will hit the ground in spring? Yeah? Yeah,

0:56:08.880 --> 0:56:13.640
<v Speaker 4>Why would mother nature? Why would evolution have that affected

0:56:13.719 --> 0:56:18.960
<v Speaker 4>by some moon. So the most reliable clock, of course,

0:56:19.120 --> 0:56:23.239
<v Speaker 4>is photo period. They can be calibrated so well, and

0:56:23.280 --> 0:56:27.359
<v Speaker 4>so it's so important over time of when the dough

0:56:27.400 --> 0:56:29.879
<v Speaker 4>needs to be bred seven months later, when that fawn

0:56:30.000 --> 0:56:30.359
<v Speaker 4>is going.

0:56:30.280 --> 0:56:30.920
<v Speaker 2>To be dropped.

0:56:32.000 --> 0:56:35.520
<v Speaker 4>Why would evolution fold in any of the moon stuff

0:56:35.560 --> 0:56:39.399
<v Speaker 4>to tinker with that at all, I mean, biologically or ecologically.

0:56:39.400 --> 0:56:44.439
<v Speaker 4>That just doesn't make sense. However, we did test this,

0:56:45.480 --> 0:56:47.120
<v Speaker 4>and so we did it two ways. We did it

0:56:47.160 --> 0:56:49.560
<v Speaker 4>at an individual scale and we did it at a

0:56:49.600 --> 0:56:55.080
<v Speaker 4>population scale, individual scale with our captive deer herd. We

0:56:55.200 --> 0:57:00.920
<v Speaker 4>looked at records of estrus and copulation for all of

0:57:00.960 --> 0:57:04.280
<v Speaker 4>our does so population of doze over many, many, many years,

0:57:04.320 --> 0:57:06.800
<v Speaker 4>and so we know when they were coming into heat,

0:57:07.080 --> 0:57:08.680
<v Speaker 4>and we knew when they were bred. So we have

0:57:08.760 --> 0:57:13.759
<v Speaker 4>those records. We then line that up with this rutting moon.

0:57:14.440 --> 0:57:16.840
<v Speaker 4>And so every year you know that rutting moon is

0:57:16.960 --> 0:57:19.840
<v Speaker 4>moving back and forth a week or fifteen days or whatever.

0:57:20.240 --> 0:57:23.320
<v Speaker 4>And so we should have seen if it was influencing

0:57:23.400 --> 0:57:25.800
<v Speaker 4>when they are coming into estrus, we should have seen

0:57:25.840 --> 0:57:28.520
<v Speaker 4>them moving towards that or moving back.

0:57:29.320 --> 0:57:30.680
<v Speaker 6>Zero.

0:57:30.960 --> 0:57:34.640
<v Speaker 4>We then go to let's go to wild populations, and

0:57:34.720 --> 0:57:37.920
<v Speaker 4>we looked at wildlife management areas and our state Wildlife

0:57:37.960 --> 0:57:41.280
<v Speaker 4>Agency is very good at doing what is called spring

0:57:41.440 --> 0:57:45.960
<v Speaker 4>health checks. What that does is they harvest doze post

0:57:46.000 --> 0:57:49.360
<v Speaker 4>deer season, typically March, and they will look at the

0:57:49.400 --> 0:57:52.880
<v Speaker 4>condition of dose and then also look at the number

0:57:52.880 --> 0:57:55.880
<v Speaker 4>of fetuses that they are carrying. So along with all

0:57:55.960 --> 0:57:58.760
<v Speaker 4>the general hunter harvest data, that is a way for

0:57:58.800 --> 0:58:02.520
<v Speaker 4>them to look at what's the condition of this population statewide,

0:58:02.600 --> 0:58:05.080
<v Speaker 4>so forth. So we know where the rut is in

0:58:05.200 --> 0:58:07.120
<v Speaker 4>all these places, we know where the peak of the

0:58:07.200 --> 0:58:09.960
<v Speaker 4>rut is, and so we then line that up with

0:58:10.480 --> 0:58:16.960
<v Speaker 4>the rutting moon zero no effect whatsoever. So individually population

0:58:17.120 --> 0:58:20.680
<v Speaker 4>wise logic, Yeah, doesn't make sense to.

0:58:20.640 --> 0:58:22.479
<v Speaker 6>Me because of the Mississippi deer.

0:58:23.160 --> 0:58:26.520
<v Speaker 4>That's why maybe it's just those Mississippi deer.

0:58:27.440 --> 0:58:31.440
<v Speaker 2>Would it be worth just taking five minutes to tabrons

0:58:31.440 --> 0:58:35.160
<v Speaker 2>and explain what confirmation bias is and how that shows

0:58:35.280 --> 0:58:37.200
<v Speaker 2>up in hunters?

0:58:38.480 --> 0:58:38.760
<v Speaker 1>Sure?

0:58:39.320 --> 0:58:39.800
<v Speaker 2>I think so?

0:58:40.160 --> 0:58:44.320
<v Speaker 1>Yeah. My favorite analogy about this is you go, I

0:58:44.360 --> 0:58:46.400
<v Speaker 1>don't know, surprise analogy, Like you go out and you

0:58:46.480 --> 0:58:49.920
<v Speaker 1>fishing small mouths and you're throwing shar troops and you

0:58:49.920 --> 0:58:52.560
<v Speaker 1>get a bunch, You're hitting them real good. Then at

0:58:52.600 --> 0:58:55.560
<v Speaker 1>one minute you throw on a pumpkin colored jig and

0:58:55.560 --> 0:58:57.320
<v Speaker 1>you're fishing for a couple of seconds, you don't get

0:58:57.320 --> 0:59:00.280
<v Speaker 1>a hit. You put shar truce back on lo and

0:59:00.280 --> 0:59:02.840
<v Speaker 1>behold throughout the day you keep catching fish. They were

0:59:02.840 --> 0:59:06.360
<v Speaker 1>coming on hartreuse. Yeah, yeah, yeah, And like there's something

0:59:06.400 --> 0:59:09.600
<v Speaker 1>to that, because you know, ain't shartruths. It ain't no use.

0:59:09.680 --> 0:59:12.120
<v Speaker 1>But I'm saying like you do have a way of

0:59:12.360 --> 0:59:14.680
<v Speaker 1>you know, like if you were going to go design

0:59:14.760 --> 0:59:18.160
<v Speaker 1>a study about what color small mouth bass are hitting

0:59:18.160 --> 0:59:19.960
<v Speaker 1>on in some given day, it wouldn't be like that,

0:59:21.120 --> 0:59:24.680
<v Speaker 1>you know. Yeah. So I think that you find part

0:59:24.720 --> 0:59:27.760
<v Speaker 1>of the fun. You find patterns and things, and and

0:59:28.640 --> 0:59:33.160
<v Speaker 1>you know that works for me. Therefore that's what that's

0:59:33.200 --> 0:59:34.080
<v Speaker 1>dictated by.

0:59:34.000 --> 0:59:39.000
<v Speaker 4>Nature, right, Yeah, Well that's a that's a deeper question.

0:59:39.080 --> 0:59:41.439
<v Speaker 4>I mean, that would be a psychologist to get into

0:59:41.480 --> 0:59:44.040
<v Speaker 4>all the logical fallacies and how the brain works with that.

0:59:44.160 --> 0:59:46.360
<v Speaker 4>But I guess the way I think about it, is

0:59:47.560 --> 0:59:50.560
<v Speaker 4>we're we're really good as human beings. We want to

0:59:50.560 --> 0:59:53.840
<v Speaker 4>find patterns, so we're trying to find the shortcut. We're

0:59:53.880 --> 0:59:57.280
<v Speaker 4>really good that that's helped us, that's helped human beings

0:59:57.600 --> 0:59:59.640
<v Speaker 4>to be able to link those things together, and that's

0:59:59.680 --> 1:00:03.920
<v Speaker 4>the path. Let's capitalize on it. But the problem that

1:00:04.120 --> 1:00:08.560
<v Speaker 4>we have is we become enamored with this linkage that

1:00:08.600 --> 1:00:13.040
<v Speaker 4>we have made between these two things. A leads to B,

1:00:13.040 --> 1:00:18.440
<v Speaker 4>B leads to C, and we will start ignoring contrary evidence.

1:00:18.480 --> 1:00:23.840
<v Speaker 4>So it's like we become bought in and emotionally invested

1:00:23.920 --> 1:00:26.760
<v Speaker 4>in our and hey, in science, it's it's called the

1:00:26.800 --> 1:00:30.400
<v Speaker 4>pet hypothesis. That's why we have to get outside peer review.

1:00:30.440 --> 1:00:32.440
<v Speaker 4>That's why you got to talk to a buddy, help me,

1:00:32.680 --> 1:00:36.120
<v Speaker 4>help me think about this. I'm really locked in confirmation

1:00:36.280 --> 1:00:40.040
<v Speaker 4>bias could be bothering me here. But but I think

1:00:40.080 --> 1:00:43.680
<v Speaker 4>that is always going on. Is we we never remember

1:00:43.760 --> 1:00:49.080
<v Speaker 4>the times we were unsuccessful. We disproportionately remember the times

1:00:49.120 --> 1:00:50.520
<v Speaker 4>that we were mm hm.

1:00:53.000 --> 1:00:56.040
<v Speaker 2>And I think if we if you are a moon believer,

1:00:57.280 --> 1:01:00.960
<v Speaker 2>you only go hunt in those conditions where you mostly

1:01:01.040 --> 1:01:04.720
<v Speaker 2>hunt those conditions that you think are you know, positively

1:01:04.760 --> 1:01:07.560
<v Speaker 2>affect your deer hunting. You're not hunting the other days,

1:01:08.160 --> 1:01:12.040
<v Speaker 2>and so you only have a data set from those days. Yeah,

1:01:12.280 --> 1:01:14.200
<v Speaker 2>and it could be exactly the same from the days

1:01:14.200 --> 1:01:16.120
<v Speaker 2>that the moon is doing something completely different.

1:01:16.600 --> 1:01:19.760
<v Speaker 4>Yeah. And you may be a good enough hunter, and

1:01:19.800 --> 1:01:22.360
<v Speaker 4>you may be hunting in a enough of a target

1:01:22.440 --> 1:01:25.280
<v Speaker 4>rich environment where every day you go, you were going

1:01:25.360 --> 1:01:28.280
<v Speaker 4>to see deer if that's your metric for success, but

1:01:28.320 --> 1:01:30.720
<v Speaker 4>you're only going to go on those special days, and

1:01:30.760 --> 1:01:35.360
<v Speaker 4>then that just keeps reinforcing that this moon condition or

1:01:35.360 --> 1:01:39.120
<v Speaker 4>weather condition or whatever was the reason for my success.

1:01:39.760 --> 1:01:42.720
<v Speaker 4>When the way to do it would be, and nobody's

1:01:42.720 --> 1:01:45.960
<v Speaker 4>gonna do this. I'm going to get a random number generator,

1:01:46.040 --> 1:01:47.920
<v Speaker 4>and I'm going to get a calendar, and I'm going

1:01:47.960 --> 1:01:51.040
<v Speaker 4>to pick out these particular days and I'm gonna go hunt.

1:01:51.400 --> 1:01:52.360
<v Speaker 6>That's a fun study.

1:01:52.600 --> 1:01:58.160
<v Speaker 4>And or look at camera data. Yeah, that'd be another way.

1:01:58.400 --> 1:02:00.800
<v Speaker 4>Just record camera data all the time and go back

1:02:00.800 --> 1:02:03.439
<v Speaker 4>and look at it.

1:02:03.520 --> 1:02:04.200
<v Speaker 1>This is about the moon.

1:02:04.720 --> 1:02:09.200
<v Speaker 6>It's it's sort of Bloomberg had an article that bigfoot

1:02:09.240 --> 1:02:12.160
<v Speaker 6>sightings have decreased in the last decade. They peaked around

1:02:12.240 --> 1:02:14.640
<v Speaker 6>like two thousand and four or so, and they've been

1:02:14.680 --> 1:02:19.680
<v Speaker 6>going down ever since. If deer hunters were like very

1:02:19.720 --> 1:02:23.120
<v Speaker 6>conscious of what their trail cameras are telling them. Now

1:02:23.120 --> 1:02:26.120
<v Speaker 6>that trail cameras are so effective and so cheap and

1:02:26.480 --> 1:02:30.600
<v Speaker 6>sell cams are very available, I feel like the same

1:02:30.640 --> 1:02:33.440
<v Speaker 6>thing would happen that if you pulled deer hunters in

1:02:33.480 --> 1:02:36.400
<v Speaker 6>twenty years from now, it wouldn't be eighty three percent anymore.

1:02:36.600 --> 1:02:37.520
<v Speaker 1>Yeah, it would be.

1:02:37.480 --> 1:02:41.000
<v Speaker 6>Lower because they if they were trying to like really

1:02:41.000 --> 1:02:43.280
<v Speaker 6>pay attention, they would maybe notice it. Oh yeah, the

1:02:43.280 --> 1:02:46.440
<v Speaker 6>moon isn't saying that that the deer movement is different

1:02:46.800 --> 1:02:48.080
<v Speaker 6>based on what the moon is doing.

1:02:48.640 --> 1:02:51.720
<v Speaker 4>Yeah, I agree. I just think it's gonna take a

1:02:51.800 --> 1:02:56.479
<v Speaker 4>long time because it's really difficult to let go right

1:02:56.800 --> 1:03:01.720
<v Speaker 4>with that belief, especially if within your little group, you're

1:03:01.760 --> 1:03:06.360
<v Speaker 4>you're the older, wiser, you're the influencer. The single most

1:03:06.360 --> 1:03:10.240
<v Speaker 4>difficult thing for a human being to say publicly, I

1:03:10.360 --> 1:03:10.760
<v Speaker 4>was wrong.

1:03:11.600 --> 1:03:12.000
<v Speaker 1>Mm hmm.

1:03:12.200 --> 1:03:15.240
<v Speaker 4>I mean, that's that's real. That's very powerful. It's so

1:03:15.360 --> 1:03:18.080
<v Speaker 4>difficult to stand up and go forgive me, I was wrong.

1:03:18.120 --> 1:03:21.360
<v Speaker 4>I made a big mistake. People are very reluctant.

1:03:20.920 --> 1:03:22.960
<v Speaker 1>To do that. I'm going to hit you with a

1:03:23.000 --> 1:03:25.439
<v Speaker 1>real I want to bring something up, but I don't

1:03:25.440 --> 1:03:30.760
<v Speaker 1>want to dwell on it. What's your take on? How

1:03:30.760 --> 1:03:35.000
<v Speaker 1>do I even ask this man? I'm trying to figure out.

1:03:34.040 --> 1:03:35.840
<v Speaker 2>He's just saying he wants a real concise ance.

1:03:35.880 --> 1:03:37.520
<v Speaker 1>I don't want to get into it. I'm just curious

1:03:37.560 --> 1:03:40.240
<v Speaker 1>because you're a big deer guy. Do your hunter deer researcher,

1:03:41.480 --> 1:03:44.200
<v Speaker 1>give me, give me your basic like one sentence, what's

1:03:44.240 --> 1:03:45.640
<v Speaker 1>your basic take on CWD?

1:03:46.400 --> 1:03:55.440
<v Speaker 4>It's it's real, it's it's the single biggest challenge I

1:03:55.520 --> 1:04:00.480
<v Speaker 4>believe to deer management and the application of science ants

1:04:01.000 --> 1:04:08.000
<v Speaker 4>while simultaneously keeping hunters engaged and believing in science. That

1:04:08.120 --> 1:04:12.040
<v Speaker 4>wasn't very concise, but that's that's the way. It's the

1:04:12.160 --> 1:04:13.400
<v Speaker 4>challenge of our time.

1:04:13.520 --> 1:04:16.680
<v Speaker 3>You think it's you believe it's a legitimate threat at.

1:04:16.560 --> 1:04:17.440
<v Speaker 1>A herd level.

1:04:17.640 --> 1:04:20.160
<v Speaker 4>Yes, yes, yes I do.

1:04:21.840 --> 1:04:25.880
<v Speaker 3>Earlier you mentioned different buck personalities?

1:04:26.600 --> 1:04:29.840
<v Speaker 1>Are there? Is it? Is it possible to give like

1:04:29.880 --> 1:04:32.240
<v Speaker 1>a handful of buck personality types?

1:04:33.480 --> 1:04:34.720
<v Speaker 4>Yeah?

1:04:35.400 --> 1:04:37.000
<v Speaker 1>And have you heard of a shirker buck?

1:04:38.480 --> 1:04:38.960
<v Speaker 4>I have not.

1:04:39.840 --> 1:04:42.040
<v Speaker 1>Okay, go on, okay, different.

1:04:41.680 --> 1:04:44.600
<v Speaker 2>Buck we'll come back to We'll come back to that.

1:04:46.600 --> 1:04:51.800
<v Speaker 4>You never heard of a shirker I'm not recalling val geist, Oh,

1:04:51.880 --> 1:04:56.720
<v Speaker 4>val Geist I have heard of that word, but man,

1:04:56.840 --> 1:04:59.000
<v Speaker 4>I'm drawing a blank on.

1:04:58.600 --> 1:05:00.000
<v Speaker 3>We'll come around to it.

1:05:00.240 --> 1:05:02.360
<v Speaker 1>Do give me some buck personality types.

1:05:02.120 --> 1:05:07.320
<v Speaker 4>Buck personalities, Well, it's just two from what we categorize.

1:05:07.600 --> 1:05:11.440
<v Speaker 4>This is just relative. We call it buck movement behavior.

1:05:11.520 --> 1:05:12.600
<v Speaker 3>Yeah, that's what I'm getting at.

1:05:12.640 --> 1:05:14.080
<v Speaker 1>Yeah, I don't mean like what they're thinking about. I

1:05:14.080 --> 1:05:17.200
<v Speaker 1>mean what they're like personality types in a way that

1:05:17.240 --> 1:05:19.000
<v Speaker 1>would impact the hunter's experience.

1:05:19.080 --> 1:05:23.920
<v Speaker 4>Yeah, so that we call it a sedentary type that's

1:05:23.920 --> 1:05:28.120
<v Speaker 4>gonna be your introvert, and then your mobile personality type

1:05:28.160 --> 1:05:31.520
<v Speaker 4>that's gonna be your extrovert. Uh. The what people thought

1:05:31.560 --> 1:05:33.680
<v Speaker 4>for the longest time, until we had the type of

1:05:33.680 --> 1:05:37.360
<v Speaker 4>instrumentation to be able to see this, was that after

1:05:37.520 --> 1:05:39.960
<v Speaker 4>yearling buck dispersal, a buck is going to go set

1:05:40.040 --> 1:05:42.919
<v Speaker 4>up and have his home range, and that is where

1:05:42.960 --> 1:05:44.640
<v Speaker 4>it's going to be. Now, the size of that home

1:05:44.760 --> 1:05:48.240
<v Speaker 4>range can vary by resources. He may be a five

1:05:48.360 --> 1:05:51.040
<v Speaker 4>hundred acre home range guy, he may be a fifteen

1:05:51.160 --> 1:05:54.280
<v Speaker 4>hundred acre home range guy. But that is where he

1:05:54.440 --> 1:05:58.400
<v Speaker 4>is essentially going to live and die is in that

1:05:58.400 --> 1:06:03.040
<v Speaker 4>that fixed home range. What we found is that about

1:06:03.080 --> 1:06:10.280
<v Speaker 4>thirty percent of our bucks have completely disconnected and disjointed

1:06:10.800 --> 1:06:14.919
<v Speaker 4>home ranges, and so they will spend six, seven, eight

1:06:15.000 --> 1:06:18.720
<v Speaker 4>months and one location, and then they will get up

1:06:18.760 --> 1:06:21.960
<v Speaker 4>and move to a completely different location.

1:06:21.800 --> 1:06:23.080
<v Speaker 3>Just forget about the old spot.

1:06:23.800 --> 1:06:24.280
<v Speaker 4>That's right.

1:06:24.680 --> 1:06:25.160
<v Speaker 1>That's right.

1:06:25.760 --> 1:06:29.960
<v Speaker 4>The most sensational example, just to show you that intrinsically

1:06:30.080 --> 1:06:33.120
<v Speaker 4>in some deer, this is in them that they are

1:06:33.320 --> 1:06:37.360
<v Speaker 4>going to do it. We call her a buck. In

1:06:37.440 --> 1:06:43.439
<v Speaker 4>Mississippi fall winter, and we started noticing really strange long

1:06:43.480 --> 1:06:47.040
<v Speaker 4>distance behavior about February so in Mississippi, so we're on

1:06:47.080 --> 1:06:49.720
<v Speaker 4>the east side of the Mississippi River. He goes all

1:06:49.800 --> 1:06:53.000
<v Speaker 4>the way to the Mississippi River miles and miles of miles,

1:06:53.760 --> 1:06:56.880
<v Speaker 4>and then paces up and down the river for a

1:06:56.960 --> 1:07:00.880
<v Speaker 4>few days, and then crosses the river and then sets

1:07:00.920 --> 1:07:07.600
<v Speaker 4>up camp in Louisiana for essentially all summer. August rolls around.

1:07:07.880 --> 1:07:10.960
<v Speaker 4>He does the same thing. On the Louisiana side. He

1:07:11.040 --> 1:07:13.440
<v Speaker 4>goes stages by the river a day or two, getting

1:07:13.480 --> 1:07:17.040
<v Speaker 4>up his nerve, maybe swims the river, comes back to

1:07:17.040 --> 1:07:20.400
<v Speaker 4>Mississippi to that exact same home range he was the

1:07:20.480 --> 1:07:23.880
<v Speaker 4>year before. Did that two years in a row, so

1:07:23.960 --> 1:07:28.240
<v Speaker 4>we had four instances of him taking that long distance

1:07:28.360 --> 1:07:33.600
<v Speaker 4>movement and crossing the Mississippi River. So that's an extreme

1:07:33.680 --> 1:07:38.040
<v Speaker 4>example of a mobile personality. And just the way the

1:07:38.200 --> 1:07:41.840
<v Speaker 4>crow flies distance it was just shy twenty miles wow,

1:07:41.880 --> 1:07:44.200
<v Speaker 4>so his route was a lot more than that.

1:07:44.400 --> 1:07:46.439
<v Speaker 1>Yeah, And it's like you could see him doing it once, right,

1:07:47.240 --> 1:07:49.240
<v Speaker 1>and then he has a good experience or doesn't have

1:07:49.240 --> 1:07:52.840
<v Speaker 1>a good experience, but the fact that he he goes

1:07:52.880 --> 1:07:55.480
<v Speaker 1>back to Mississippi. Then a while later he wants to

1:07:56.400 --> 1:08:00.000
<v Speaker 1>you know what I mean, yeah, like repeat it where yeah,

1:08:00.280 --> 1:08:03.440
<v Speaker 1>just felt or we wind up thinking that it's a

1:08:03.440 --> 1:08:07.520
<v Speaker 1>bigger deal, that that swim is a bigger deal than

1:08:07.520 --> 1:08:10.120
<v Speaker 1>he regards it as. Right, I was reading this thing

1:08:10.160 --> 1:08:11.760
<v Speaker 1>like these guys were looking at it. There used to

1:08:11.760 --> 1:08:13.400
<v Speaker 1>be this thing that links. They used to think that

1:08:13.440 --> 1:08:15.640
<v Speaker 1>links didn't like cross big rivers, and they thought these

1:08:15.680 --> 1:08:19.000
<v Speaker 1>big rivers were boxed in links home ranges. So they

1:08:19.080 --> 1:08:21.600
<v Speaker 1>had these links with collars were swimming the tan and

1:08:21.680 --> 1:08:25.960
<v Speaker 1>awe swimming the Yukon, you know, mm hmm. And people

1:08:26.000 --> 1:08:28.200
<v Speaker 1>always saw it just they had just figured that that's

1:08:28.240 --> 1:08:31.760
<v Speaker 1>a border to a lynx's habitat. That's some bit just yeah,

1:08:31.840 --> 1:08:33.760
<v Speaker 1>right across it, shoot across. You don't even think about it,

1:08:33.760 --> 1:08:36.000
<v Speaker 1>and in the human mind, you're like, oh, that would

1:08:36.040 --> 1:08:38.280
<v Speaker 1>be a he can't get across that. He wouldn't want

1:08:38.280 --> 1:08:39.720
<v Speaker 1>to cross that a cat, you know.

1:08:40.200 --> 1:08:42.960
<v Speaker 4>And yet we had some bucks that, uh in this

1:08:43.040 --> 1:08:45.920
<v Speaker 4>one in the Mississippi River. We're talking about a normal river,

1:08:46.040 --> 1:08:49.639
<v Speaker 4>so think think a river that's fifty yards across or something.

1:08:50.320 --> 1:08:52.960
<v Speaker 4>We had some bucks that would go across that every

1:08:53.040 --> 1:08:56.920
<v Speaker 4>single day. Was not an impediment to them whatsoever. We

1:08:56.960 --> 1:08:59.639
<v Speaker 4>had some bucks that would never cross that river. When

1:08:59.680 --> 1:09:02.839
<v Speaker 4>you look at their home range and all of their points,

1:09:03.120 --> 1:09:06.800
<v Speaker 4>it is directly adjacent to that river. They would not

1:09:07.160 --> 1:09:11.080
<v Speaker 4>do it. Really, So there's just so much variation in

1:09:11.520 --> 1:09:13.839
<v Speaker 4>their personality and what they're willing to accept.

1:09:13.920 --> 1:09:18.080
<v Speaker 1>You can't I guess you probably can't say this is

1:09:18.120 --> 1:09:20.840
<v Speaker 1>one of those strategies better for longevity. Like do you

1:09:20.880 --> 1:09:24.320
<v Speaker 1>find that like super tight stay at home box, super

1:09:24.360 --> 1:09:28.760
<v Speaker 1>small home ranges, they have a greater survival rate or

1:09:28.800 --> 1:09:31.400
<v Speaker 1>is it that not or is that not fair to say.

1:09:31.400 --> 1:09:34.760
<v Speaker 4>Yeah, we didn't have enough of a sample size to

1:09:34.800 --> 1:09:37.400
<v Speaker 4>tease that apart, because again, only a third of them

1:09:37.640 --> 1:09:42.720
<v Speaker 4>were had this mobile personality. But that makes sense to me.

1:09:42.800 --> 1:09:46.360
<v Speaker 4>I think that's reasonable. I also think of it. This

1:09:46.600 --> 1:09:50.040
<v Speaker 4>may be a bad analogy here, but I think it's

1:09:50.120 --> 1:09:55.400
<v Speaker 4>just like embedded within some species and some individuals. There's explorers,

1:09:55.960 --> 1:09:59.640
<v Speaker 4>there's colonizers, there's individuals that are willing to take a

1:09:59.720 --> 1:10:02.800
<v Speaker 4>rip and go somewhere else. And you know, I think

1:10:02.800 --> 1:10:05.840
<v Speaker 4>when you just go way way way back in time,

1:10:06.240 --> 1:10:08.800
<v Speaker 4>you know, hundreds and hundreds of years ago, and you

1:10:08.840 --> 1:10:14.320
<v Speaker 4>think about the landscape and that deer. We're always having

1:10:14.360 --> 1:10:19.080
<v Speaker 4>to colonize different areas based on buffalo going through, based

1:10:19.120 --> 1:10:23.559
<v Speaker 4>on wildfire, and so I just want to think any

1:10:23.640 --> 1:10:28.360
<v Speaker 4>way that that tendency is embedded within some individuals that

1:10:28.720 --> 1:10:30.719
<v Speaker 4>I'm going to go look, I'm going to go explore

1:10:30.760 --> 1:10:33.960
<v Speaker 4>and I'm going to capitalize on some resources unbeknownst to me.

1:10:34.400 --> 1:10:36.960
<v Speaker 1>Yeah right here. Oh yeah, because if not you because

1:10:37.040 --> 1:10:41.479
<v Speaker 1>as as environments and landscapes change, if everybody was a

1:10:41.520 --> 1:10:44.160
<v Speaker 1>super home body, you'd have awesome pieces of habitat open

1:10:44.240 --> 1:10:51.320
<v Speaker 1>up and like we're never found. Word doesn't get out. Yeah,

1:10:51.760 --> 1:10:56.320
<v Speaker 1>with the with the idea that like I've heard this

1:10:56.360 --> 1:10:59.840
<v Speaker 1>express two ways, maybe it's not this clean that during

1:10:59.880 --> 1:11:02.320
<v Speaker 1>the rut bucks move more. Okay.

1:11:04.000 --> 1:11:06.080
<v Speaker 3>I remember someone pointing.

1:11:05.720 --> 1:11:10.240
<v Speaker 1>Out, like they move more but they don't move to

1:11:10.400 --> 1:11:14.559
<v Speaker 1>new places more. They just move more in the places

1:11:14.600 --> 1:11:15.519
<v Speaker 1>that they already move.

1:11:15.479 --> 1:11:17.880
<v Speaker 3>Anyways, is that fair.

1:11:18.160 --> 1:11:19.080
<v Speaker 4>That's not think that's fair.

1:11:19.160 --> 1:11:22.360
<v Speaker 1>That's not fair. Yeah, okay, So what.

1:11:22.720 --> 1:11:24.680
<v Speaker 4>We were able to do is, of course we did

1:11:24.680 --> 1:11:29.360
<v Speaker 4>all the annual home range stuff, but we also looked

1:11:29.360 --> 1:11:35.240
<v Speaker 4>at two week home ranges, daily home ranges, and a

1:11:35.360 --> 1:11:39.920
<v Speaker 4>term called net distance or net displacement. And the bottom

1:11:39.960 --> 1:11:43.400
<v Speaker 4>line is you will see the greatest home range if

1:11:43.400 --> 1:11:45.720
<v Speaker 4>you look at it in two week periods during the

1:11:45.760 --> 1:11:48.680
<v Speaker 4>peak of the rut and during the late rut or

1:11:48.720 --> 1:11:53.599
<v Speaker 4>immediately after the peak of the rut. But the amount

1:11:53.680 --> 1:11:57.040
<v Speaker 4>of area that a buck is spending each day, it

1:11:57.080 --> 1:11:59.800
<v Speaker 4>did not matter if it was pre rut, no rut,

1:12:00.280 --> 1:12:05.920
<v Speaker 4>after the rut. Two hundred acres per day independent okay,

1:12:06.320 --> 1:12:10.120
<v Speaker 4>on a daily scale, independent on the time of year,

1:12:10.479 --> 1:12:14.240
<v Speaker 4>rut phase or not peak of the rut, post rut,

1:12:14.360 --> 1:12:18.559
<v Speaker 4>pre rut, et cetera. Did not matter. Even though there

1:12:18.960 --> 1:12:26.040
<v Speaker 4>they're daily ground they were covering could be greater. During

1:12:26.080 --> 1:12:29.360
<v Speaker 4>the rut, the amount of area that they were covered

1:12:29.720 --> 1:12:34.040
<v Speaker 4>was two hundred acres per day, But when you look

1:12:34.080 --> 1:12:37.240
<v Speaker 4>at the very next day where they're at, it will

1:12:37.280 --> 1:12:42.040
<v Speaker 4>be further apart, meaning a buck is spending covering ground

1:12:42.080 --> 1:12:45.840
<v Speaker 4>about two hundred acres of ground per day, but during

1:12:45.920 --> 1:12:48.479
<v Speaker 4>the peak of the rut in late rut, those daily

1:12:48.760 --> 1:12:57.320
<v Speaker 4>areas or places are further apart. Really, maybe you make.

1:12:57.439 --> 1:13:00.320
<v Speaker 2>A single move and then do the two hundred yard

1:13:00.360 --> 1:13:02.800
<v Speaker 2>circuit and then makes a single move into another two

1:13:02.840 --> 1:13:04.479
<v Speaker 2>hundred yard circuit. Is that what you're saying?

1:13:05.240 --> 1:13:09.400
<v Speaker 4>Yeah, so maybe think of it like this. When you

1:13:09.479 --> 1:13:13.519
<v Speaker 4>get into a non rut and early pre rut, every

1:13:13.600 --> 1:13:17.360
<v Speaker 4>single day there is a great deal of overlap in

1:13:17.400 --> 1:13:21.160
<v Speaker 4>the area of buckets covering. He might have an overlap

1:13:21.160 --> 1:13:23.960
<v Speaker 4>of eighty percent of the area he covered the day before,

1:13:24.160 --> 1:13:27.960
<v Speaker 4>he's in this area. But when you get to later

1:13:28.080 --> 1:13:31.200
<v Speaker 4>in the rut, because now they're seeking, they're chasing, they're looking.

1:13:31.640 --> 1:13:34.559
<v Speaker 4>Now we're spending two hundred acres away over here, fifteen

1:13:34.600 --> 1:13:37.519
<v Speaker 4>hundred yards away, he's in a completely different area. He's

1:13:37.560 --> 1:13:40.680
<v Speaker 4>covering the same amount of area in a twenty four

1:13:40.720 --> 1:13:44.479
<v Speaker 4>hour time frame, but the distance away from the dates

1:13:44.720 --> 1:13:46.080
<v Speaker 4>he's exploring new spots.

1:13:46.400 --> 1:13:48.360
<v Speaker 1>Yeah.

1:13:49.000 --> 1:13:51.880
<v Speaker 2>Really, so do you really as a hunter then are

1:13:51.880 --> 1:13:57.360
<v Speaker 2>we trying to capitalize on that move between the two spots?

1:13:58.600 --> 1:14:02.200
<v Speaker 4>If you can. I mean, if if you can find out.

1:14:02.120 --> 1:14:07.760
<v Speaker 2>I rut funnel, it would be a good place to sit, right, Okay.

1:14:07.640 --> 1:14:10.360
<v Speaker 4>I think you got to frame it like this. If

1:14:10.640 --> 1:14:13.120
<v Speaker 4>if you've got a lot of intel on a buck,

1:14:13.200 --> 1:14:16.040
<v Speaker 4>I mean, I know from camera data observation, I know

1:14:16.439 --> 1:14:19.759
<v Speaker 4>kind of where he's going to be. The best chance

1:14:19.840 --> 1:14:24.000
<v Speaker 4>for that is pre rut. But if you want to

1:14:24.040 --> 1:14:26.160
<v Speaker 4>go out, I'm going to go to the woods and

1:14:26.200 --> 1:14:29.920
<v Speaker 4>what are my greatest odds of seeing a buck? A

1:14:29.960 --> 1:14:34.120
<v Speaker 4>good buck? Then because of that movement behavior that is

1:14:34.240 --> 1:14:34.840
<v Speaker 4>absolutely so.

1:14:34.880 --> 1:14:38.080
<v Speaker 1>The one that hides out of old Lady Thompson's might

1:14:38.080 --> 1:14:39.240
<v Speaker 1>be off on your spot.

1:14:39.560 --> 1:14:42.920
<v Speaker 4>That's right, that's right, he's gonna shift, he's gonna move.

1:14:43.400 --> 1:14:43.839
<v Speaker 1>Yeah.

1:14:45.320 --> 1:14:49.320
<v Speaker 4>Really mm hmm. I can show you the show the data.

1:14:49.439 --> 1:14:51.240
<v Speaker 1>Yeah, oh, let me, I'll hit you know, and then

1:14:51.280 --> 1:14:52.760
<v Speaker 1>these guys can hit you with whatever they want.

1:14:53.640 --> 1:14:55.479
<v Speaker 3>Do you this might not be something you can tell

1:14:55.520 --> 1:14:56.160
<v Speaker 3>from your data.

1:14:56.920 --> 1:15:01.759
<v Speaker 1>Do you think it's true that bucks play the wind

1:15:02.520 --> 1:15:05.320
<v Speaker 1>and cruise for does by coming on the down wind

1:15:05.360 --> 1:15:06.240
<v Speaker 1>side of betting cover?

1:15:09.040 --> 1:15:12.000
<v Speaker 4>I think probably fifty percent of the time they do.

1:15:12.479 --> 1:15:18.920
<v Speaker 1>Okay, so they're not visually looking for them. They do,

1:15:19.000 --> 1:15:22.280
<v Speaker 1>but they in addition to visually looking, they're cruising to

1:15:22.320 --> 1:15:22.880
<v Speaker 1>smell them.

1:15:23.240 --> 1:15:27.599
<v Speaker 4>Yeah, what we generally think of right now, and this

1:15:27.640 --> 1:15:30.559
<v Speaker 4>could have a lot to do with those two hundred

1:15:30.560 --> 1:15:35.559
<v Speaker 4>acre daily areas being so far apart and disjointed. What

1:15:35.600 --> 1:15:39.720
<v Speaker 4>we think is that bucks are cruising to find what

1:15:39.840 --> 1:15:44.519
<v Speaker 4>are called dough focal areas. So think about the social

1:15:44.760 --> 1:15:49.519
<v Speaker 4>behavior of your dough population, those matrilineal groups. And so

1:15:49.880 --> 1:15:52.120
<v Speaker 4>here's a group of dose here, here's a group of

1:15:52.160 --> 1:15:55.479
<v Speaker 4>dose over here. We think of it as a circuit.

1:15:56.439 --> 1:15:59.120
<v Speaker 4>And so a buck is going to go into this area.

1:15:59.200 --> 1:16:03.559
<v Speaker 4>He knows who all's there, you know, via signposts sent

1:16:03.720 --> 1:16:06.760
<v Speaker 4>so forth. He's gonna check it. Since check it, who's

1:16:06.840 --> 1:16:09.639
<v Speaker 4>good or bad? Anybody close coming into heat? Maybe she's

1:16:09.640 --> 1:16:13.479
<v Speaker 4>already into heat but occupied. He's gonna go to another area,

1:16:14.439 --> 1:16:17.479
<v Speaker 4>part of that circuit and look for adoin estris there.

1:16:18.240 --> 1:16:20.519
<v Speaker 1>Okay, I light, I got one more question than he's

1:16:20.520 --> 1:16:21.200
<v Speaker 1>Guys can hit some.

1:16:23.080 --> 1:16:25.000
<v Speaker 3>I asked this earlier, but I kind of screwed it up.

1:16:27.240 --> 1:16:32.680
<v Speaker 1>During peak rut? Is there like a high Is there

1:16:33.120 --> 1:16:35.719
<v Speaker 1>a strong likelihood or however you want to put it,

1:16:35.760 --> 1:16:39.280
<v Speaker 1>Is there a strong likelihood that a buck will go

1:16:39.400 --> 1:16:42.080
<v Speaker 1>somewhere during peak rut that he has never before been

1:16:42.160 --> 1:16:45.000
<v Speaker 1>in his life, or is he usually at some point

1:16:45.000 --> 1:16:47.120
<v Speaker 1>in his life been to all the places he's gonna go.

1:16:47.280 --> 1:16:50.439
<v Speaker 1>So he's visiting places he knows about, or is he

1:16:50.600 --> 1:16:53.559
<v Speaker 1>legit like going spots he's never seen before.

1:16:55.720 --> 1:16:59.080
<v Speaker 4>I think the answer is yes, But I don't think

1:16:59.120 --> 1:17:01.920
<v Speaker 4>that is just during the rut. So the way we

1:17:01.960 --> 1:17:05.800
<v Speaker 4>would define that would be called an excursion, and so

1:17:05.920 --> 1:17:08.960
<v Speaker 4>that would be different from a mobile personality like we

1:17:09.000 --> 1:17:11.320
<v Speaker 4>talked about earlier, because that is where you set up

1:17:11.360 --> 1:17:14.440
<v Speaker 4>a new home range and you have affinity for that area,

1:17:14.520 --> 1:17:17.240
<v Speaker 4>and excursion is I'm in my existing home range and

1:17:17.240 --> 1:17:19.240
<v Speaker 4>I'm gonna take a trip yep, a two to three

1:17:19.320 --> 1:17:21.320
<v Speaker 4>day I'm will cut a loop and go here and

1:17:21.360 --> 1:17:25.559
<v Speaker 4>go here. We see those start to occur during the

1:17:25.600 --> 1:17:29.479
<v Speaker 4>pre rut, and it really escalates during the rut. But

1:17:29.600 --> 1:17:33.559
<v Speaker 4>with our data during our study, we saw the greatest

1:17:33.560 --> 1:17:36.200
<v Speaker 4>amount of excursions in the in the post rut, so

1:17:36.400 --> 1:17:37.439
<v Speaker 4>after the rut.

1:17:37.520 --> 1:17:41.920
<v Speaker 1>But excursions being that he again like he's going to

1:17:42.520 --> 1:17:43.720
<v Speaker 1>it might be hard to do it because you can't

1:17:43.760 --> 1:17:46.519
<v Speaker 1>track him his whole life. He's going to places he's

1:17:46.640 --> 1:17:51.920
<v Speaker 1>never been. I can't answer that because you don't know

1:17:51.960 --> 1:17:53.880
<v Speaker 1>where he's because you can't you don't know his whole life.

1:17:53.880 --> 1:17:56.240
<v Speaker 1>I don't have his whole life history, got it.

1:17:56.360 --> 1:18:00.639
<v Speaker 4>Yeah, Yeah, but we we definitely saw the the bucks

1:18:00.680 --> 1:18:04.320
<v Speaker 4>going to novel areas within the limited time frame we

1:18:04.360 --> 1:18:05.120
<v Speaker 4>had them studied.

1:18:05.240 --> 1:18:05.479
<v Speaker 1>We did.

1:18:05.479 --> 1:18:07.680
<v Speaker 4>In other words, we didn't see the exact same excursion

1:18:07.760 --> 1:18:10.720
<v Speaker 4>loop every time they would go different areas. Yeah, and

1:18:10.760 --> 1:18:14.200
<v Speaker 4>so yeah, we think they are looking prospecting, whether it

1:18:14.280 --> 1:18:16.120
<v Speaker 4>be those food resources whatever.

1:18:16.479 --> 1:18:19.519
<v Speaker 1>That's when you get like really vulnerable. Man, Like you

1:18:19.560 --> 1:18:21.840
<v Speaker 1>get really vulnerable to something bad happen to you when

1:18:21.880 --> 1:18:25.600
<v Speaker 1>you're in places you've never been, Like you're on some

1:18:26.200 --> 1:18:27.360
<v Speaker 1>do you know what I mean? You have no idea

1:18:27.400 --> 1:18:31.680
<v Speaker 1>what's going on? And like that to me feels like

1:18:31.720 --> 1:18:33.960
<v Speaker 1>a that to me feels like a buck would get light. Dude,

1:18:34.000 --> 1:18:36.439
<v Speaker 1>I'm not doing that. Yeah, do you know what I mean? Like,

1:18:36.479 --> 1:18:38.400
<v Speaker 1>I'm not like, I've never been there, I have no

1:18:38.439 --> 1:18:41.400
<v Speaker 1>idea what's happening. It seems like they'd feel so vulnerable.

1:18:41.680 --> 1:18:44.160
<v Speaker 4>And from a deer management perspective, I mean, if you

1:18:44.439 --> 1:18:46.519
<v Speaker 4>do the kind of stuff we were gone with, you

1:18:46.560 --> 1:18:49.120
<v Speaker 4>know your you're managing for antlers and older bucks and

1:18:49.120 --> 1:18:52.320
<v Speaker 4>so forth. That is where even with a large area,

1:18:52.400 --> 1:18:54.519
<v Speaker 4>so you may have a five to ten thousand acre

1:18:54.640 --> 1:18:58.320
<v Speaker 4>tract and you were primarily controlling the harvest within that

1:18:58.360 --> 1:19:02.800
<v Speaker 4>population except for the excursion, and so that is where

1:19:02.840 --> 1:19:04.960
<v Speaker 4>you will see some of those target bucks are gonna

1:19:04.960 --> 1:19:07.160
<v Speaker 4>go off and man, they get hammered.

1:19:07.400 --> 1:19:09.680
<v Speaker 1>Yeah. Yeah, you go over to the place where the

1:19:09.920 --> 1:19:12.000
<v Speaker 1>you know, brown it's down property.

1:19:11.600 --> 1:19:15.800
<v Speaker 4>I get shot. And that is so frustrating because you've

1:19:15.840 --> 1:19:19.120
<v Speaker 4>done everything all year long for years and years and years,

1:19:19.400 --> 1:19:21.840
<v Speaker 4>and you have that weekend where he decides to take

1:19:21.880 --> 1:19:22.640
<v Speaker 4>a trip.

1:19:22.560 --> 1:19:24.040
<v Speaker 3>Do What's funny is uh?

1:19:24.439 --> 1:19:27.720
<v Speaker 1>I know these guys and they have a big no

1:19:27.840 --> 1:19:32.400
<v Speaker 1>fence operation in Texas, but they wound up doing one fence.

1:19:33.160 --> 1:19:36.200
<v Speaker 1>They fenced one property line because they have some brown

1:19:36.240 --> 1:19:40.479
<v Speaker 1>it's down neighbors and so they just tried to like

1:19:40.560 --> 1:19:43.559
<v Speaker 1>control it a little bit by blocking that spot right

1:19:44.120 --> 1:19:47.040
<v Speaker 1>you know, the other three sides or do whatever they want. Yeah.

1:19:47.520 --> 1:19:50.679
<v Speaker 4>I got a couple of places like that too. It's

1:19:50.760 --> 1:19:53.120
<v Speaker 4>that pinch point, that corridor of where they're going to

1:19:53.200 --> 1:19:55.280
<v Speaker 4>go on to that other property and we're gonna block.

1:19:55.040 --> 1:19:56.640
<v Speaker 3>That up, and these dudes stands.

1:19:56.800 --> 1:19:59.439
<v Speaker 1>It's so funny is these dudes stands are all we're

1:19:59.479 --> 1:20:04.400
<v Speaker 1>all that property life. Oh yeah, oh just waiting, you know, Yeah,

1:20:05.320 --> 1:20:06.160
<v Speaker 1>all right, I'm done.

1:20:08.560 --> 1:20:12.160
<v Speaker 6>The October Boogeyman is the October law for hunters. The

1:20:12.200 --> 1:20:16.479
<v Speaker 6>November version of that is lockdown, where there's an idea

1:20:16.640 --> 1:20:18.760
<v Speaker 6>that there is a phase of the rut for like

1:20:18.840 --> 1:20:22.439
<v Speaker 6>two to four days where a buck gets a hot

1:20:22.479 --> 1:20:26.120
<v Speaker 6>dough around like November sixteenth, and they bed down and

1:20:26.160 --> 1:20:29.800
<v Speaker 6>they breed and they just become less visible and they

1:20:29.880 --> 1:20:34.479
<v Speaker 6>just become very dedicated to that spot and like running

1:20:34.720 --> 1:20:35.360
<v Speaker 6>with each other.

1:20:35.960 --> 1:20:37.400
<v Speaker 3>I don't care what he says, this is true?

1:20:37.560 --> 1:20:38.080
<v Speaker 1>Is that a thing?

1:20:38.280 --> 1:20:41.160
<v Speaker 6>Do the deer movement studies show thing.

1:20:41.760 --> 1:20:44.719
<v Speaker 1>Yeah, they just stand there like the does are feeding,

1:20:44.680 --> 1:20:46.280
<v Speaker 1>and he just stands there. He doesn't lay down, he

1:20:46.320 --> 1:20:47.960
<v Speaker 1>doesn't eat, he just stands there.

1:20:48.240 --> 1:20:49.559
<v Speaker 4>Yeah, that's legit.

1:20:49.840 --> 1:20:52.920
<v Speaker 1>Oh it is okay, Yeah, because everything else you're like, no,

1:20:53.000 --> 1:20:55.800
<v Speaker 1>that's not true. That's legit.

1:20:55.880 --> 1:20:57.360
<v Speaker 4>So you get like in the peak of the rut,

1:20:58.000 --> 1:21:01.679
<v Speaker 4>this is going to occur all all the time. When

1:21:01.720 --> 1:21:05.920
<v Speaker 4>there is a dough an estras it becomes a population

1:21:06.120 --> 1:21:09.479
<v Speaker 4>a level of fact, or it becomes noticeable when a

1:21:09.560 --> 1:21:13.240
<v Speaker 4>greater proportion of the does are in standing heat and

1:21:13.320 --> 1:21:17.000
<v Speaker 4>bucks are tending them. So you're gonna have less bucks

1:21:17.040 --> 1:21:19.800
<v Speaker 4>available roaming the landscape because they're locked in.

1:21:19.960 --> 1:21:24.000
<v Speaker 6>If there are too many dos, that happens.

1:21:24.040 --> 1:21:26.960
<v Speaker 4>You're saying no, I'm saying that if you had an

1:21:27.000 --> 1:21:28.479
<v Speaker 4>appropriate number of doughs.

1:21:28.760 --> 1:21:32.519
<v Speaker 1>Okay, that's kind of like some magical world every dough,

1:21:32.880 --> 1:21:35.200
<v Speaker 1>like you have some thing where it lists every dough

1:21:35.200 --> 1:21:39.120
<v Speaker 1>in a population all came into heat on November seventh.

1:21:39.280 --> 1:21:42.240
<v Speaker 1>It would be reasonable to assume that on November seventh,

1:21:43.240 --> 1:21:46.240
<v Speaker 1>no bucks are running around doing crazy stuff, right because

1:21:46.240 --> 1:21:47.839
<v Speaker 1>they're standing there with all these doughs.

1:21:47.640 --> 1:21:51.800
<v Speaker 4>That are exactly And then twenty eight days later you're

1:21:51.800 --> 1:21:54.719
<v Speaker 4>gonna have the leftovers because the sex ratio, there's always

1:21:54.720 --> 1:21:57.960
<v Speaker 4>more doughs than bucks, and so some of them may

1:21:58.000 --> 1:22:01.559
<v Speaker 4>not get bred, and so then that would follow again

1:22:01.720 --> 1:22:02.760
<v Speaker 4>twenty eight days later.

1:22:03.280 --> 1:22:06.040
<v Speaker 6>How impactful, though, do you think lockdown is? Is it

1:22:06.080 --> 1:22:08.000
<v Speaker 6>a thing where like hunters are going to have a

1:22:08.000 --> 1:22:09.439
<v Speaker 6>worse experience in the woods.

1:22:11.160 --> 1:22:14.519
<v Speaker 4>I would still go because it's it's the rut. I

1:22:14.520 --> 1:22:18.040
<v Speaker 4>would look at it as the frequency of just seeing

1:22:18.560 --> 1:22:22.200
<v Speaker 4>more bucks during that time frame is gonna be less

1:22:22.360 --> 1:22:25.200
<v Speaker 4>because some of them are locked in with does, but

1:22:25.400 --> 1:22:27.599
<v Speaker 4>you also have the odd man out or the odd

1:22:27.680 --> 1:22:30.040
<v Speaker 4>buck out, and he's gonna be going around looking for

1:22:30.160 --> 1:22:34.280
<v Speaker 4>another dough and estress, so that there's still gonna be

1:22:34.400 --> 1:22:37.439
<v Speaker 4>general buck movement. You're just gonna have a greater number

1:22:37.600 --> 1:22:39.679
<v Speaker 4>of them that is occupying a dough.

1:22:39.600 --> 1:22:41.960
<v Speaker 6>And there's no crater though in the bell curve. When

1:22:42.000 --> 1:22:46.799
<v Speaker 6>that happens, don't see it, Okay, Yeah, man, I wonder.

1:22:46.640 --> 1:22:49.479
<v Speaker 2>If you do, you could tell me what days not

1:22:49.600 --> 1:22:50.280
<v Speaker 2>to hunt.

1:22:50.800 --> 1:22:53.200
<v Speaker 1>What I'm thinking is this man picture you got like

1:22:53.280 --> 1:22:56.360
<v Speaker 1>some kind of weird deal where you can it's illegal,

1:22:58.640 --> 1:23:01.679
<v Speaker 1>like you put out some kind of a birth control

1:23:01.760 --> 1:23:04.680
<v Speaker 1>thing or something where none of the dos ever come in.

1:23:04.840 --> 1:23:07.479
<v Speaker 6>Oh, Bucks, just crazy everywhere.

1:23:08.520 --> 1:23:11.639
<v Speaker 1>It's a short term play. Yeah, it's not a good lie.

1:23:11.720 --> 1:23:13.920
<v Speaker 4>That'd be some some evil science there.

1:23:14.600 --> 1:23:17.439
<v Speaker 1>It's a bad long term play. You're going to see

1:23:17.479 --> 1:23:18.639
<v Speaker 1>a plumbing deer population.

1:23:19.040 --> 1:23:22.960
<v Speaker 2>We're in Wisconsin. Uh you know, cwd's big there, big deer.

1:23:23.000 --> 1:23:26.679
<v Speaker 2>Heard a lot of our neighbors have started shooting more does.

1:23:28.240 --> 1:23:31.120
<v Speaker 2>Since they've started doing that, they claim to have a

1:23:31.280 --> 1:23:36.920
<v Speaker 2>better rut because less does mean more bucks moving around,

1:23:37.000 --> 1:23:40.320
<v Speaker 2>more bucks reacting to calls does that make sense.

1:23:40.880 --> 1:23:44.920
<v Speaker 4>It makes perfect sense. I do not know of a

1:23:45.280 --> 1:23:49.519
<v Speaker 4>study that has specifically evaluated that, but I think that

1:23:49.640 --> 1:23:54.360
<v Speaker 4>is entirely logical because you've increased competition. You know, they're

1:23:54.600 --> 1:23:57.439
<v Speaker 4>less does per male and so they have to compete more,

1:23:57.560 --> 1:23:59.679
<v Speaker 4>look more, search more, et cetera.

1:24:01.479 --> 1:24:02.120
<v Speaker 1>It's my turn.

1:24:02.479 --> 1:24:04.439
<v Speaker 2>We're just going said you were done.

1:24:04.560 --> 1:24:08.160
<v Speaker 1>I was for my turn when this turn, This turn

1:24:08.160 --> 1:24:09.240
<v Speaker 1>is gonna be one question turned.

1:24:10.680 --> 1:24:11.360
<v Speaker 4>Uh.

1:24:11.760 --> 1:24:14.439
<v Speaker 1>We have a buddy who has a really great property

1:24:14.479 --> 1:24:21.960
<v Speaker 1>in Texas whereabouts Way South Texas, Brownsville, Way South Texas.

1:24:22.920 --> 1:24:27.360
<v Speaker 1>Like when you're cruising around, you see I mean, you

1:24:27.360 --> 1:24:30.559
<v Speaker 1>see way more Bucks and does anyhow, we go down

1:24:30.600 --> 1:24:32.360
<v Speaker 1>there a couple times. We've gone down to Rattle Bucks,

1:24:32.360 --> 1:24:33.800
<v Speaker 1>which is the funnest thing in the world because it's

1:24:33.880 --> 1:24:39.080
<v Speaker 1>very effective there. I developed this little theory that the

1:24:39.120 --> 1:24:42.439
<v Speaker 1>most effective time to rattle them is during the middle

1:24:42.439 --> 1:24:45.080
<v Speaker 1>of the day. In my thinking, the dolls are all

1:24:45.160 --> 1:24:48.799
<v Speaker 1>laying down on their board and they're just more inclined

1:24:48.800 --> 1:24:51.360
<v Speaker 1>to wonder what's up when the doors are up on

1:24:51.439 --> 1:24:53.200
<v Speaker 1>their feet. They're like, yeah, yeah, I hear it, but

1:24:53.240 --> 1:24:57.120
<v Speaker 1>I'm like following my dough around. Then midday he gets bored.

1:24:57.760 --> 1:24:59.920
<v Speaker 1>He hears the rattle, He's got nothing else going on,

1:25:00.120 --> 1:25:02.439
<v Speaker 1>and so he runs over. Yeah, what do you think

1:25:02.479 --> 1:25:03.000
<v Speaker 1>about that?

1:25:03.080 --> 1:25:10.360
<v Speaker 4>There's a merit to that, Steve, but it's wrong. We

1:25:10.400 --> 1:25:15.040
<v Speaker 4>did a study on that. Now I was a tech,

1:25:15.200 --> 1:25:17.760
<v Speaker 4>I was a participant as a buddy of mine. So

1:25:17.840 --> 1:25:20.680
<v Speaker 4>again my master's degree was in South Texas, so I

1:25:20.720 --> 1:25:23.840
<v Speaker 4>spent a lot of time down there, and so we

1:25:23.880 --> 1:25:27.439
<v Speaker 4>did a rattling experiment. To my knowledge, it is the

1:25:27.520 --> 1:25:31.000
<v Speaker 4>only peer reviewed experiment ever done on rattling antlers and

1:25:31.439 --> 1:25:36.599
<v Speaker 4>and dough response. And what we found, very generally was

1:25:36.800 --> 1:25:43.200
<v Speaker 4>we we varied the how loud the rattling was, the

1:25:43.400 --> 1:25:49.439
<v Speaker 4>duration of rattling, the time of day of rattling, and

1:25:49.479 --> 1:25:53.160
<v Speaker 4>then the time of year relative to the rut for

1:25:53.240 --> 1:25:57.080
<v Speaker 4>the rattling. And so the clear winner for time of

1:25:57.200 --> 1:26:04.160
<v Speaker 4>day was crepuscular. No, here's why, because the real winner

1:26:04.320 --> 1:26:07.400
<v Speaker 4>on the rattling technique. And remember back then, so this

1:26:07.439 --> 1:26:10.680
<v Speaker 4>would have been this has been mid nineties, and so

1:26:10.760 --> 1:26:13.559
<v Speaker 4>this is your You're reading the magazine and how do

1:26:13.600 --> 1:26:17.280
<v Speaker 4>you set up your rattling sequence? And so you got

1:26:17.280 --> 1:26:19.640
<v Speaker 4>to get there, and you gotta get crouch and you

1:26:19.720 --> 1:26:23.000
<v Speaker 4>got to scrape the brush and you gotta kick and

1:26:23.000 --> 1:26:25.719
<v Speaker 4>you gotta rattle, and you got to remember that, remember

1:26:25.840 --> 1:26:27.519
<v Speaker 4>all that.

1:26:28.200 --> 1:26:30.040
<v Speaker 3>But anyways, gone, okay, Well.

1:26:30.200 --> 1:26:31.479
<v Speaker 4>It was a thing back in the day.

1:26:32.680 --> 1:26:35.320
<v Speaker 1>And what we found, you're you're painting the whole picture,

1:26:35.439 --> 1:26:38.240
<v Speaker 1>like the deer. You're kind of like you're you're sort

1:26:38.240 --> 1:26:40.400
<v Speaker 1>of creating the entire encounter.

1:26:40.520 --> 1:26:43.599
<v Speaker 4>You're trying to mimic reality. Yeah, where they're bumping into

1:26:43.600 --> 1:26:46.520
<v Speaker 4>the brush and all that, sort of making it more realistic.

1:26:46.840 --> 1:26:50.760
<v Speaker 4>But the bottom it was just very very clear, how

1:26:50.880 --> 1:26:55.200
<v Speaker 4>loud you are. Number One, the louder you make it,

1:26:55.360 --> 1:26:58.720
<v Speaker 4>you increase the probability that more bucks will hear it.

1:26:59.200 --> 1:27:02.200
<v Speaker 4>More bucks will hear it when more bucks are circulating

1:27:02.320 --> 1:27:05.160
<v Speaker 4>during the crepuscular period, more bucks are going to be

1:27:05.240 --> 1:27:09.960
<v Speaker 4>up and about circulating during the pre rut. So make

1:27:10.000 --> 1:27:14.360
<v Speaker 4>it as loud as you can. And the sequence that

1:27:14.400 --> 1:27:18.040
<v Speaker 4>we were doing, we had a we had four different sequences,

1:27:18.120 --> 1:27:21.360
<v Speaker 4>but the one that always worked the best was called

1:27:21.760 --> 1:27:26.040
<v Speaker 4>long and Loud. I still remember it. It's still etched

1:27:26.080 --> 1:27:28.800
<v Speaker 4>in here. Long and Loud was you got to go

1:27:28.920 --> 1:27:32.120
<v Speaker 4>for three minutes. Three minutes. That doesn't sound like a

1:27:32.160 --> 1:27:36.559
<v Speaker 4>lot with those things. As hard as you can possibly go.

1:27:36.720 --> 1:27:39.160
<v Speaker 4>Your arms will be tired, they're spaghetti. Yeah, I mean

1:27:39.160 --> 1:27:42.840
<v Speaker 4>you're you're just done by that. But that was the

1:27:42.880 --> 1:27:46.160
<v Speaker 4>clear winter, and so just the obvious thing is they

1:27:46.160 --> 1:27:48.960
<v Speaker 4>could hear it better. And so I and I even

1:27:49.040 --> 1:27:51.559
<v Speaker 4>had chances where a sweat somebody on the ground.

1:27:52.120 --> 1:27:52.519
<v Speaker 1>This was that.

1:27:52.760 --> 1:27:55.400
<v Speaker 4>Do youn't know where the Welder Wildlife Refuge is?

1:27:55.439 --> 1:27:55.599
<v Speaker 7>Aid?

1:27:55.640 --> 1:27:59.400
<v Speaker 4>Did you go past it? Going south? Unhunted population tens

1:27:59.439 --> 1:28:02.360
<v Speaker 4>of thousands of They have all these observation towers. So

1:28:02.360 --> 1:28:05.960
<v Speaker 4>we got an observers up top fifteen twenty foot above

1:28:05.960 --> 1:28:09.679
<v Speaker 4>the brush, and somebody down below, and you could literally

1:28:09.760 --> 1:28:13.559
<v Speaker 4>even see I saw this to where the guy below

1:28:13.640 --> 1:28:16.320
<v Speaker 4>starts rattling. He's doing a long and loud or something

1:28:16.400 --> 1:28:19.280
<v Speaker 4>like that, and the buck is four hundred yards away,

1:28:19.680 --> 1:28:22.639
<v Speaker 4>and he hears it and he starts coming, coming, coming,

1:28:22.680 --> 1:28:25.840
<v Speaker 4>He's not running, but he's coming. He's obviously moving that way,

1:28:26.240 --> 1:28:32.320
<v Speaker 4>stopped rattling. He was back to browsing around. And then

1:28:32.360 --> 1:28:34.320
<v Speaker 4>it was over a thirty minute period, and so then

1:28:34.360 --> 1:28:36.439
<v Speaker 4>we had an elapsed time and you do another rattle,

1:28:36.479 --> 1:28:39.400
<v Speaker 4>and then another rattle, and do you rattle bring him in,

1:28:39.600 --> 1:28:44.160
<v Speaker 4>keep coming, stop rattling. He stopped rattled him again, finally

1:28:44.479 --> 1:28:50.120
<v Speaker 4>closed the distance and brought him in the volume and

1:28:50.280 --> 1:28:54.760
<v Speaker 4>increasing the probability that a buck is within distance of

1:28:54.840 --> 1:28:57.280
<v Speaker 4>hearing you. That was the secret sauce.

1:28:58.120 --> 1:29:00.680
<v Speaker 6>I like your strategy, though, Steve, because as if I'm

1:29:00.720 --> 1:29:04.679
<v Speaker 6>thinking about rattling, if it's donn or dusk, in my head,

1:29:04.760 --> 1:29:06.800
<v Speaker 6>deer movement is already like a nine out of ten.

1:29:07.040 --> 1:29:09.559
<v Speaker 6>I don't need to help the deer movement anymore right now.

1:29:09.800 --> 1:29:12.000
<v Speaker 6>At midday, though, maybe it's like a four out of ten,

1:29:12.479 --> 1:29:13.960
<v Speaker 6>and so I could rattle and bring it up to

1:29:13.960 --> 1:29:16.439
<v Speaker 6>a seven out of ten. And so I'm just like

1:29:16.680 --> 1:29:19.840
<v Speaker 6>I'm raising the floor of my hunt at that point.

1:29:20.040 --> 1:29:24.320
<v Speaker 1>Yeah, we were not viewing it as making We were

1:29:24.360 --> 1:29:26.280
<v Speaker 1>not viewing it as hey, there's nothing else to do.

1:29:27.120 --> 1:29:30.000
<v Speaker 1>We're viewing it as going out in the morning. There's

1:29:30.040 --> 1:29:32.679
<v Speaker 1>like deer round and you do a few rattle sessions,

1:29:32.800 --> 1:29:35.160
<v Speaker 1>nothing happened, gets to be eleven am, and all of

1:29:35.160 --> 1:29:39.440
<v Speaker 1>a sudden, buck buck buck. So I had this whole boredom.

1:29:39.560 --> 1:29:42.240
<v Speaker 1>There you go, hypothesis, But it could be other factors

1:29:42.240 --> 1:29:42.880
<v Speaker 1>in there. Well.

1:29:43.080 --> 1:29:46.000
<v Speaker 6>Ask a question, what do your movement studies say about age?

1:29:46.040 --> 1:29:47.920
<v Speaker 6>I assume it's just real simple that like a one

1:29:48.000 --> 1:29:50.360
<v Speaker 6>and a half year old moves more and he's more

1:29:50.360 --> 1:29:52.120
<v Speaker 6>reckless than a five and a half year old. Is

1:29:52.160 --> 1:29:53.240
<v Speaker 6>that Is that what you've seen?

1:29:54.120 --> 1:29:57.559
<v Speaker 4>Yeah, it's very subtle. You know. There's a lot of

1:29:57.680 --> 1:30:00.880
<v Speaker 4>people will say, and maybe we didn't not have enough

1:30:01.160 --> 1:30:04.280
<v Speaker 4>really really old bucks. We had several five and six

1:30:04.400 --> 1:30:09.000
<v Speaker 4>year olds, but we saw a general decline, a general

1:30:09.400 --> 1:30:14.799
<v Speaker 4>contraction in home range. But it was not overwhelming. Okay,

1:30:14.920 --> 1:30:18.200
<v Speaker 4>but yes it did. You know after the yearling dispersal event,

1:30:18.320 --> 1:30:20.880
<v Speaker 4>they're typically going to have a larger one and then

1:30:20.920 --> 1:30:23.599
<v Speaker 4>it's like they keep figuring out, you know, year after

1:30:23.680 --> 1:30:24.920
<v Speaker 4>year it gets a little bit small.

1:30:25.160 --> 1:30:29.280
<v Speaker 6>Huh, I feel like hard oh Whitetail hunters will also

1:30:29.400 --> 1:30:32.639
<v Speaker 6>say that you talked about how there's more movement after

1:30:32.680 --> 1:30:36.000
<v Speaker 6>the peak of the rut, and usually those are the

1:30:36.000 --> 1:30:38.880
<v Speaker 6>mature bucks. They're the wise ones who know that not

1:30:39.000 --> 1:30:41.040
<v Speaker 6>every dough has been bred yet, so they're playing the

1:30:41.080 --> 1:30:42.680
<v Speaker 6>long game. That's when they're going to get up and

1:30:43.640 --> 1:30:46.720
<v Speaker 6>be a little more reckless. Is if you think the

1:30:46.880 --> 1:30:50.200
<v Speaker 6>peak of the rut is like November fourteen, those old

1:30:50.240 --> 1:30:53.960
<v Speaker 6>mature bucks, five six year olds, they are really participating

1:30:54.000 --> 1:30:56.880
<v Speaker 6>in the rut more in that like fifteenth to twenty

1:30:56.920 --> 1:30:59.280
<v Speaker 6>fifth time period than a two and a half year old?

1:30:59.320 --> 1:31:03.800
<v Speaker 6>Is that? Is that like putting too much stock in

1:31:04.200 --> 1:31:04.919
<v Speaker 6>those ideas.

1:31:05.280 --> 1:31:09.800
<v Speaker 4>I think a buck is gonna participate whenever he can, huh,

1:31:09.800 --> 1:31:12.839
<v Speaker 4>and whenever he detects there is a dough an estress,

1:31:13.040 --> 1:31:17.040
<v Speaker 4>he's gonna participate. Okay, if that answers your question.

1:31:17.160 --> 1:31:19.000
<v Speaker 6>Yeah, Like I said, a white tail hunter would say,

1:31:19.000 --> 1:31:20.519
<v Speaker 6>that is the time period of the rut for the

1:31:20.560 --> 1:31:23.240
<v Speaker 6>old bucks. That's like when they are vulnerable.

1:31:24.040 --> 1:31:27.439
<v Speaker 4>Well, yeah, they would be exposed more during that time,

1:31:27.479 --> 1:31:29.479
<v Speaker 4>but not more than a two and a half year old,

1:31:29.560 --> 1:31:31.479
<v Speaker 4>is I wouldn't think?

1:31:31.479 --> 1:31:33.600
<v Speaker 1>So? Okay, Yeah, I'm gonna go out of order and

1:31:33.600 --> 1:31:36.679
<v Speaker 1>ask my next question. Then Yanni, and then Spencer.

1:31:37.560 --> 1:31:40.080
<v Speaker 2>We have a couple left time.

1:31:40.120 --> 1:31:41.000
<v Speaker 1>Why ask your question?

1:31:41.840 --> 1:31:43.240
<v Speaker 3>I was afraid I don't forget you.

1:31:43.360 --> 1:31:45.120
<v Speaker 2>No, go ahead, I won't forget mine because it's sitting

1:31:45.160 --> 1:31:45.680
<v Speaker 2>right in front of me.

1:31:45.800 --> 1:31:49.720
<v Speaker 1>How far away you think? How far away you think

1:31:49.760 --> 1:31:53.680
<v Speaker 1>a buck can smell it a dough? That's an astress?

1:31:57.200 --> 1:32:01.240
<v Speaker 4>Great question, I would say, Uh, I haven't said it

1:32:01.280 --> 1:32:04.320
<v Speaker 4>depends yet, but I think it's going to depend so

1:32:04.439 --> 1:32:06.920
<v Speaker 4>much on wind condition, you know, and.

1:32:06.920 --> 1:32:10.519
<v Speaker 1>So wild ass like, like perfect conditions.

1:32:10.320 --> 1:32:11.439
<v Speaker 4>Hundreds of yards?

1:32:12.640 --> 1:32:16.120
<v Speaker 2>Are you asking about the doe herself or just the

1:32:16.160 --> 1:32:17.679
<v Speaker 2>scent that maybe she left behind?

1:32:18.920 --> 1:32:24.000
<v Speaker 1>Just detect the presence of a doe that's in heat. Yeah,

1:32:24.040 --> 1:32:26.799
<v Speaker 1>in perfect conditions, it wouldn't be it wouldn't be crazy

1:32:26.840 --> 1:32:28.000
<v Speaker 1>to say hundreds of yards.

1:32:28.680 --> 1:32:30.360
<v Speaker 4>I don't think so, not at all.

1:32:30.960 --> 1:32:33.559
<v Speaker 1>Yeah, their sense of smells that good.

1:32:34.080 --> 1:32:36.400
<v Speaker 4>Yeah, yeah, I think so. I don't know if it's

1:32:36.439 --> 1:32:41.200
<v Speaker 4>five hundred yards to me, I think about diffusion, and so,

1:32:41.240 --> 1:32:43.240
<v Speaker 4>you know, the further and further you're getting away, the

1:32:43.280 --> 1:32:47.559
<v Speaker 4>more those molecules are, you know, being distributed within the air,

1:32:47.600 --> 1:32:51.040
<v Speaker 4>and can they pick up enough of a concentration to

1:32:51.080 --> 1:32:53.600
<v Speaker 4>cause a response. But certainly hundreds.

1:32:53.200 --> 1:32:54.040
<v Speaker 1>Of yards.

1:32:56.680 --> 1:32:58.960
<v Speaker 2>Bronson, why did you bring that antler all the way

1:32:58.960 --> 1:33:00.479
<v Speaker 2>from here?

1:33:01.360 --> 1:33:02.759
<v Speaker 4>Yeah?

1:33:03.120 --> 1:33:05.880
<v Speaker 2>And if you're just listening, you're just later gonna have

1:33:05.920 --> 1:33:07.880
<v Speaker 2>to go to YouTube and watch to see what we're

1:33:07.920 --> 1:33:08.360
<v Speaker 2>gonna tell you.

1:33:08.439 --> 1:33:10.280
<v Speaker 1>He's got a big old he's got a big old

1:33:10.280 --> 1:33:13.200
<v Speaker 1>buck antler. It's a Michigan tan with the browtie and

1:33:13.240 --> 1:33:17.080
<v Speaker 1>saw it off's got one. He's got an a luinum contraption.

1:33:19.040 --> 1:33:21.439
<v Speaker 1>He's got an a lunum contraption glued to the end

1:33:21.439 --> 1:33:21.680
<v Speaker 1>of it.

1:33:21.840 --> 1:33:23.840
<v Speaker 6>Squirrels have been chewing on the times.

1:33:24.520 --> 1:33:26.760
<v Speaker 4>That was actually damage during velvet.

1:33:27.000 --> 1:33:28.800
<v Speaker 1>Oh, I just thought.

1:33:31.040 --> 1:33:36.000
<v Speaker 4>This is a this is an example from or this

1:33:36.080 --> 1:33:40.000
<v Speaker 4>is a specimen from an experiment we did about ten

1:33:40.080 --> 1:33:44.120
<v Speaker 4>years ago now. And the question was, let me, let

1:33:44.120 --> 1:33:46.160
<v Speaker 4>me back up. We always at Mississippi State with the

1:33:46.200 --> 1:33:48.720
<v Speaker 4>Deer Lab, we tried to do every single thing we

1:33:48.800 --> 1:33:52.000
<v Speaker 4>do has a purpose for the end user. It's gonna

1:33:52.000 --> 1:33:54.519
<v Speaker 4>affect hunting, it's going to affect management, help you manage

1:33:54.560 --> 1:33:58.000
<v Speaker 4>your property. Except this. This has nothing to do at

1:33:58.000 --> 1:34:01.519
<v Speaker 4>all with man. This is straight up deer biology. Me

1:34:01.760 --> 1:34:06.200
<v Speaker 4>and Steve Demris, the other co director of the Deer Lab,

1:34:06.280 --> 1:34:08.519
<v Speaker 4>we have this debate going on for years and years

1:34:08.920 --> 1:34:14.599
<v Speaker 4>about female choice. Do female white tailed deer can they

1:34:14.680 --> 1:34:19.600
<v Speaker 4>do they have any type of choice whatsoever? Now? Behaviorally,

1:34:20.439 --> 1:34:22.439
<v Speaker 4>we don't know if she does, because when she comes

1:34:22.439 --> 1:34:26.080
<v Speaker 4>into standing heat, she's she's going to breed, you know,

1:34:26.120 --> 1:34:28.120
<v Speaker 4>if there is a If she's in standing heat and

1:34:28.240 --> 1:34:30.519
<v Speaker 4>a buck is behind her, she's gonna breed.

1:34:30.479 --> 1:34:34.720
<v Speaker 3>Doesn't matter if it's a spiky or no big old

1:34:34.800 --> 1:34:35.439
<v Speaker 3>rope dragger.

1:34:35.640 --> 1:34:39.080
<v Speaker 4>So I think she has to assume whom I guess

1:34:39.160 --> 1:34:41.920
<v Speaker 4>that's the right word, assume that that's going to sort

1:34:42.040 --> 1:34:47.160
<v Speaker 4>itself out, that that hopefully, through a dominance hierarchy, she's

1:34:47.240 --> 1:34:50.960
<v Speaker 4>getting the better buck. But during the peak of the rut,

1:34:51.000 --> 1:34:53.280
<v Speaker 4>that may not always be the case because the quote

1:34:53.320 --> 1:34:56.000
<v Speaker 4>dominant older buck, he may be occupied on a you know,

1:34:56.080 --> 1:34:58.720
<v Speaker 4>way over here with another though, you know, And we

1:34:58.760 --> 1:35:05.360
<v Speaker 4>see multi paternity, and so in twenty five percent of doze,

1:35:06.280 --> 1:35:09.519
<v Speaker 4>the twin faunds, twenty five percent of those will have

1:35:09.520 --> 1:35:13.759
<v Speaker 4>two different fathers, got it, So it's going on multiple

1:35:13.800 --> 1:35:17.800
<v Speaker 4>bucks of breeding. So I had just always thought that

1:35:18.680 --> 1:35:22.559
<v Speaker 4>she has to care. She has to care. Now whether

1:35:22.600 --> 1:35:24.120
<v Speaker 4>she can do anything about it or not, it's a

1:35:24.120 --> 1:35:26.920
<v Speaker 4>different question, but she has to care that if what

1:35:27.080 --> 1:35:29.439
<v Speaker 4>is behind me and about to breed me, is it

1:35:29.479 --> 1:35:32.280
<v Speaker 4>a year old spike or would it be a three,

1:35:32.400 --> 1:35:35.160
<v Speaker 4>four or five year old with larger antlers and a

1:35:35.160 --> 1:35:39.720
<v Speaker 4>big body who has clearly demonstrated I'm a survivor. I

1:35:39.760 --> 1:35:42.720
<v Speaker 4>can make it. You know, she's got all the investment,

1:35:42.760 --> 1:35:44.840
<v Speaker 4>she's going to have the gestation for seven months, is

1:35:44.880 --> 1:35:48.280
<v Speaker 4>all her resources. She ought to care who's behind hers? Like, well,

1:35:48.360 --> 1:35:50.720
<v Speaker 4>how do we do this? So we ended up we

1:35:50.760 --> 1:35:53.760
<v Speaker 4>had another project going on and we had a way

1:35:53.840 --> 1:35:56.760
<v Speaker 4>we could set this up. So we took all of

1:35:56.800 --> 1:35:59.680
<v Speaker 4>our bucks and we standardized them. We came up with

1:35:59.760 --> 1:36:03.479
<v Speaker 4>p We paired them by age. We paired them by

1:36:03.560 --> 1:36:08.160
<v Speaker 4>body size, so a doe looking at a buck couldn't say, well,

1:36:08.200 --> 1:36:10.920
<v Speaker 4>that buck is clearly four year four years old, that

1:36:10.960 --> 1:36:14.160
<v Speaker 4>one is clearly a yearling and choose one of them.

1:36:14.320 --> 1:36:14.519
<v Speaker 1>Yep.

1:36:15.720 --> 1:36:18.760
<v Speaker 4>So we standardized by body size and age. And then

1:36:18.800 --> 1:36:21.759
<v Speaker 4>we got with our egg engineering people and we developed

1:36:21.760 --> 1:36:26.640
<v Speaker 4>a contraption to where we could manipulate antlers.

1:36:26.200 --> 1:36:28.160
<v Speaker 1>Could make him look like a toad even when he wasn't.

1:36:28.200 --> 1:36:32.360
<v Speaker 4>That's exactly right. So we challenged these does with.

1:36:32.640 --> 1:36:34.400
<v Speaker 2>Well, hold on, you gotta explain how you did that.

1:36:35.360 --> 1:36:38.000
<v Speaker 1>Take a little spike and put that antler on his ass.

1:36:39.560 --> 1:36:40.559
<v Speaker 2>Yeah he's alive.

1:36:41.200 --> 1:36:43.760
<v Speaker 4>Yeah, Well we sedate him. Yeah we sedatum.

1:36:43.880 --> 1:36:44.080
<v Speaker 1>Yeah.

1:36:44.720 --> 1:36:51.120
<v Speaker 2>Looking so they all had the base part somehow attached

1:36:51.120 --> 1:36:51.679
<v Speaker 2>to their.

1:36:51.880 --> 1:36:55.120
<v Speaker 4>Pedical Yeah yeah, So all the all the bucks that

1:36:55.120 --> 1:36:57.680
<v Speaker 4>are they're in the study. They're going to be sedated

1:36:58.040 --> 1:37:00.799
<v Speaker 4>and then we're gonna cut their antlers off. We're gonna

1:37:01.080 --> 1:37:04.519
<v Speaker 4>fix that part, the coupling, a fix to the antler

1:37:04.920 --> 1:37:07.200
<v Speaker 4>and then the pedicle. They're going to get a receiver

1:37:07.840 --> 1:37:12.800
<v Speaker 4>coupling there, and so this is incredible, and so then

1:37:13.320 --> 1:37:15.839
<v Speaker 4>we will challenge a dough. So then we had someone

1:37:15.920 --> 1:37:21.439
<v Speaker 4>from that school reproductive physiologist. They can induce estress, you know,

1:37:21.479 --> 1:37:24.080
<v Speaker 4>with the progesterone treatment or something. So now we know

1:37:24.120 --> 1:37:26.920
<v Speaker 4>where that dough is coming into heat. And so now

1:37:26.960 --> 1:37:30.200
<v Speaker 4>she's behaviorally, she's demonstrating that she's an estress. So we

1:37:30.280 --> 1:37:32.920
<v Speaker 4>send her down an alleyway and she's got a pen,

1:37:33.400 --> 1:37:35.519
<v Speaker 4>and then to her left and her to her right

1:37:35.680 --> 1:37:41.880
<v Speaker 4>are too equally aged or equally body sized bucks. One

1:37:41.920 --> 1:37:43.880
<v Speaker 4>of them is carrying a one sixty, one of them

1:37:43.920 --> 1:37:48.360
<v Speaker 4>is carrying a ninety, and then we monitored her behavior

1:37:48.520 --> 1:37:52.080
<v Speaker 4>to see which one she would prefer. Now, we could

1:37:52.080 --> 1:37:54.680
<v Speaker 4>not allow them to breed just the way it was

1:37:54.720 --> 1:37:57.280
<v Speaker 4>set up the logistics, but then we looked at all

1:37:57.400 --> 1:38:01.120
<v Speaker 4>the behavioral signs of if we pull the fence up,

1:38:01.439 --> 1:38:04.559
<v Speaker 4>which which one would she go to? And it was

1:38:04.680 --> 1:38:08.880
<v Speaker 4>over eighty percent of the time she always went for

1:38:09.520 --> 1:38:12.800
<v Speaker 4>the antlers. Wow, even a younger official.

1:38:12.479 --> 1:38:16.559
<v Speaker 1>Dude, good for her, superficial man, hey man, But there's

1:38:16.560 --> 1:38:21.760
<v Speaker 1>that twenty interest in personality, it's like totally suficial.

1:38:21.840 --> 1:38:24.000
<v Speaker 4>But it wasn't one hundred percent. It was you know,

1:38:24.160 --> 1:38:26.599
<v Speaker 4>twenty percent didn't fall for the for the big antlers.

1:38:27.000 --> 1:38:30.160
<v Speaker 1>So there's some selection going on. Well, but but like

1:38:30.200 --> 1:38:33.559
<v Speaker 1>you're saying whether or not it, I get what you're saying,

1:38:33.720 --> 1:38:36.759
<v Speaker 1>Like in that environment, there's selection going on. But however

1:38:36.800 --> 1:38:38.880
<v Speaker 1>that's occurring in the real world scenario, it.

1:38:38.880 --> 1:38:43.200
<v Speaker 4>Is hard to determine exactly right, Yeah, can that even happen?

1:38:43.280 --> 1:38:45.000
<v Speaker 4>You know? The only the only thing we can say

1:38:45.000 --> 1:38:47.439
<v Speaker 4>in the wild of does she have any choice at all?

1:38:47.640 --> 1:38:51.240
<v Speaker 4>Is when she since the sensing she's coming into estras,

1:38:51.600 --> 1:38:55.160
<v Speaker 4>might she go to an area where she knows this

1:38:55.439 --> 1:38:59.280
<v Speaker 4>knows this guy occupies and just make herself available. Yeah,

1:38:59.320 --> 1:39:02.439
<v Speaker 4>but yeah, she can't be very proactive in this thing.

1:39:02.680 --> 1:39:05.280
<v Speaker 4>But when you standardize all that and controlled for it,

1:39:06.080 --> 1:39:11.040
<v Speaker 4>that's what she preferred. So it does follow the ecological

1:39:11.120 --> 1:39:14.639
<v Speaker 4>theory about antlers or an honest signal of quality.

1:39:14.760 --> 1:39:16.519
<v Speaker 3>Yeah, yeah, I think I've wondered.

1:39:18.280 --> 1:39:20.560
<v Speaker 1>I'm especially thinking about this as you're explaining this is

1:39:20.600 --> 1:39:23.160
<v Speaker 1>when you're watching a buck work a group of does

1:39:24.400 --> 1:39:27.519
<v Speaker 1>and you see like he's particularly interested, like he sort

1:39:27.560 --> 1:39:30.160
<v Speaker 1>of singled out a dough. He's very interested in his dough.

1:39:30.200 --> 1:39:32.599
<v Speaker 1>He's singled out. But you see her every time he approaches.

1:39:32.640 --> 1:39:33.080
<v Speaker 1>She runs.

1:39:33.120 --> 1:39:35.200
<v Speaker 3>Every time he approaches, she runs, And you.

1:39:35.240 --> 1:39:38.599
<v Speaker 1>Wonder, like, well, if it was a different buck, would

1:39:38.640 --> 1:39:41.360
<v Speaker 1>she run every time? Like? Is she running because she's

1:39:41.400 --> 1:39:43.200
<v Speaker 1>just not ready? Or is she running because she doesn't?

1:39:43.320 --> 1:39:47.080
<v Speaker 1>Like she doesn't want that buck buyer? Because from whatever

1:39:47.120 --> 1:39:50.160
<v Speaker 1>in his perspective, there's something very particular.

1:39:49.600 --> 1:39:50.880
<v Speaker 3>About that dough.

1:39:50.960 --> 1:39:54.880
<v Speaker 1>He's like hounding that dough, so he knows something's going on.

1:39:55.120 --> 1:39:56.280
<v Speaker 3>But she's not receptive.

1:39:58.439 --> 1:40:02.160
<v Speaker 4>I just don't think she's ready. She's just not She's close.

1:40:02.360 --> 1:40:06.000
<v Speaker 1>Yeah, he knows she's close, but she's not that ready yet, right, yeh,

1:40:06.280 --> 1:40:08.240
<v Speaker 1>got it? So she might not be making like a

1:40:08.360 --> 1:40:11.479
<v Speaker 1>not you not you wait, I'm waiting for Dave or whatever.

1:40:11.960 --> 1:40:16.759
<v Speaker 4>Yeah, I think she's just waiting to be receptive. Physiologically, yeah.

1:40:18.160 --> 1:40:18.240
<v Speaker 1>Uh.

1:40:18.360 --> 1:40:22.240
<v Speaker 6>There's a theory among whitetail hunters that if you have

1:40:22.439 --> 1:40:24.519
<v Speaker 6>an old dominant buck, like a six and a half

1:40:24.640 --> 1:40:28.519
<v Speaker 6>year old, when he gets killed, you've now created a

1:40:28.600 --> 1:40:32.280
<v Speaker 6>vacuum where there's an opportunity for another big, mature buck

1:40:32.320 --> 1:40:34.960
<v Speaker 6>to come in and take that home range and own

1:40:35.000 --> 1:40:37.719
<v Speaker 6>that food source, own that betting area, own those doughs.

1:40:38.120 --> 1:40:40.400
<v Speaker 6>Do you ever see that with your movement studies, that

1:40:40.479 --> 1:40:43.599
<v Speaker 6>a big buck disappears until a new big buck moves in.

1:40:44.760 --> 1:40:49.160
<v Speaker 4>No, I'm really interested in that. I do think that

1:40:49.240 --> 1:40:52.439
<v Speaker 4>has a lot of logic and appeal, and I want

1:40:52.520 --> 1:40:55.920
<v Speaker 4>that to happen because I think that's something as managers

1:40:55.920 --> 1:40:59.880
<v Speaker 4>we can manipulate doing that, removing particular bucks and creating

1:41:00.000 --> 1:41:03.000
<v Speaker 4>space for others to move in. Uh, we did not

1:41:03.240 --> 1:41:06.080
<v Speaker 4>have enough data. Well, first of all, we didn't want

1:41:06.080 --> 1:41:11.320
<v Speaker 4>to shoot all of our mature bucks. But to my knowledge,

1:41:11.360 --> 1:41:14.800
<v Speaker 4>there's been no good experiment to demonstrate that. But but

1:41:14.920 --> 1:41:17.640
<v Speaker 4>I would love to try it if we could. I

1:41:17.920 --> 1:41:19.040
<v Speaker 4>do think it's logical.

1:41:20.479 --> 1:41:22.759
<v Speaker 3>Yeah, some little bucks like now's my time to shine?

1:41:22.840 --> 1:41:27.680
<v Speaker 6>Yeah? Yeah, Yeah, that's the best cornfield in the neighborhood.

1:41:28.360 --> 1:41:29.439
<v Speaker 6>Does all beding here?

1:41:30.640 --> 1:41:33.400
<v Speaker 3>Have you ever heard that bucks avoid certain kinds of

1:41:33.400 --> 1:41:36.360
<v Speaker 3>cover when they're in velvet and they're more comfortable going

1:41:36.400 --> 1:41:38.200
<v Speaker 3>into that cover once their antlers are hard?

1:41:38.640 --> 1:41:38.800
<v Speaker 4>No?

1:41:40.479 --> 1:41:42.240
<v Speaker 1>You you never heard that with elk and stuff like

1:41:42.280 --> 1:41:42.720
<v Speaker 1>that too.

1:41:43.320 --> 1:41:47.240
<v Speaker 4>Well, I don't think a lot about elk, but I'm

1:41:47.280 --> 1:41:50.840
<v Speaker 4>biased with my time in South Texas and so man

1:41:51.200 --> 1:41:53.840
<v Speaker 4>thorny up in that helicopter. I say, a lot of

1:41:53.920 --> 1:41:57.360
<v Speaker 4>bucks and velvet going through. Yeah, the pair and the

1:41:57.439 --> 1:41:58.800
<v Speaker 4>mesquite and got it.

1:41:59.160 --> 1:42:00.920
<v Speaker 3>That's really a good testing ground.

1:42:01.000 --> 1:42:03.320
<v Speaker 1>Yeah. Yeah, there's a price to pay for going through

1:42:03.360 --> 1:42:05.000
<v Speaker 1>that mesquite.

1:42:04.680 --> 1:42:07.439
<v Speaker 4>And the awareness that they have, you know, when you're

1:42:07.560 --> 1:42:09.840
<v Speaker 4>you're pushing them with the helicopter and and there's a

1:42:09.840 --> 1:42:12.720
<v Speaker 4>big mesquite branch coming up, and they know how to

1:42:12.760 --> 1:42:15.320
<v Speaker 4>tilt their head just enough to get their antlers under it.

1:42:15.360 --> 1:42:19.719
<v Speaker 4>And it's a thing of beauty to watch moose question.

1:42:21.040 --> 1:42:22.080
<v Speaker 4>I mean, you can ask.

1:42:21.960 --> 1:42:26.800
<v Speaker 1>If you're maybe there's a deer parallel. You're calling. You're

1:42:26.800 --> 1:42:29.400
<v Speaker 1>calling to a moose. You're making cow calls to a moose.

1:42:30.000 --> 1:42:33.320
<v Speaker 1>And then he comes from a mile away and he

1:42:33.360 --> 1:42:38.080
<v Speaker 1>gets up, he comes just b line stops, his head's

1:42:38.120 --> 1:42:39.680
<v Speaker 1>pointing towards you.

1:42:39.680 --> 1:42:41.360
<v Speaker 3>You call, he comes, you call, he comes.

1:42:41.360 --> 1:42:45.080
<v Speaker 1>He gets five hundred yards away and lays down, lays

1:42:45.120 --> 1:42:47.080
<v Speaker 1>down for an hour, gets up, walks the other direction.

1:42:48.960 --> 1:42:50.160
<v Speaker 6>Dawn's in his head.

1:42:50.720 --> 1:42:56.120
<v Speaker 2>You were supposed to come to him.

1:42:54.040 --> 1:42:54.439
<v Speaker 1>You think so?

1:42:55.160 --> 1:42:55.759
<v Speaker 3>Was there.

1:42:57.439 --> 1:42:59.840
<v Speaker 1>Was the wind in his face? No, there's no wind.

1:43:00.080 --> 1:43:02.960
<v Speaker 1>Isn't a human thing it wasn't a human thing. Wind's

1:43:03.000 --> 1:43:08.719
<v Speaker 1>totally wrong. He hadn't seen nothing. Yeah.

1:43:08.840 --> 1:43:12.320
<v Speaker 4>My My only guess was there was no there was

1:43:12.360 --> 1:43:16.120
<v Speaker 4>no visual queue to stimulate him coming any further.

1:43:16.479 --> 1:43:19.240
<v Speaker 1>That would make sense because he's like, I'm looking at

1:43:19.240 --> 1:43:23.280
<v Speaker 1>the whole hill, dude, there's nothing there. I'll cow standing there.

1:43:23.880 --> 1:43:26.439
<v Speaker 1>Yeah you know that. Yeah.

1:43:26.960 --> 1:43:28.519
<v Speaker 3>He's like at some points, like at some point I

1:43:28.520 --> 1:43:29.160
<v Speaker 3>need to see.

1:43:28.960 --> 1:43:31.080
<v Speaker 4>The cow, so you need a cow decoy.

1:43:32.280 --> 1:43:34.120
<v Speaker 1>I've seen this sap two times in the same place,

1:43:34.479 --> 1:43:36.600
<v Speaker 1>comes all that way, and it's lays down staring and

1:43:36.640 --> 1:43:37.479
<v Speaker 1>gets up and leaves.

1:43:39.439 --> 1:43:40.920
<v Speaker 2>Sounds like you've gotta be able to shoot at five

1:43:41.000 --> 1:43:42.160
<v Speaker 2>hundred yards next time.

1:43:42.280 --> 1:43:45.719
<v Speaker 1>We did one time got him, but it's it's thick

1:43:45.800 --> 1:43:46.920
<v Speaker 1>and yeah, it's hard.

1:43:50.439 --> 1:43:52.200
<v Speaker 2>If we have time, I could lay out the shirt

1:43:52.280 --> 1:43:53.000
<v Speaker 2>or buck, but I know.

1:43:52.960 --> 1:43:55.080
<v Speaker 1>We're a shirt. Yeah.

1:43:55.160 --> 1:43:56.200
<v Speaker 3>He's big believer in us.

1:43:56.560 --> 1:44:02.639
<v Speaker 2>That's not true. But I did re Valgeist a couple

1:44:02.680 --> 1:44:07.439
<v Speaker 2>of his books, and he observed watching mule deer he

1:44:07.640 --> 1:44:13.920
<v Speaker 2>felt he observed, yeah, that there were bucks that he

1:44:13.960 --> 1:44:18.880
<v Speaker 2>would watch that would shirk the responsibility of breeding for

1:44:19.080 --> 1:44:21.920
<v Speaker 2>many seasons in a row, and then all of a

1:44:21.960 --> 1:44:26.439
<v Speaker 2>sudden year five year six come in there and because

1:44:26.479 --> 1:44:29.840
<v Speaker 2>they had reserved all those resources for that many years

1:44:29.880 --> 1:44:33.840
<v Speaker 2>and built up an extra whatever amount of body weight,

1:44:33.880 --> 1:44:36.719
<v Speaker 2>bigger antlers or whatever, then they could come in.

1:44:36.800 --> 1:44:39.920
<v Speaker 1>And rule the roost, just lay waste.

1:44:40.280 --> 1:44:44.080
<v Speaker 2>That's one way to put it. Yeah, did you ever

1:44:44.120 --> 1:44:47.640
<v Speaker 2>see that in your captive heard where the bucks would shirk.

1:44:48.720 --> 1:44:52.439
<v Speaker 4>Not at that that scale. But so he valarious guys

1:44:52.520 --> 1:44:57.080
<v Speaker 4>is talking about a multi year right, what we would

1:44:57.160 --> 1:45:00.360
<v Speaker 4>see which we attributed to, but we don't know this,

1:45:00.479 --> 1:45:05.800
<v Speaker 4>you know, buck personality in this case hormonally higher testosterone

1:45:05.840 --> 1:45:10.080
<v Speaker 4>levels or something. But there were definitely some bucks that

1:45:10.160 --> 1:45:14.080
<v Speaker 4>at the beginning of the rut they were absolute mad men.

1:45:14.720 --> 1:45:17.080
<v Speaker 4>I mean, they wanted to fight. Everybody hated them. The

1:45:17.120 --> 1:45:19.200
<v Speaker 4>dos hated them, other bucks hated them. They just want

1:45:19.240 --> 1:45:23.960
<v Speaker 4>to fight, fight, fight, And their breeding success was always

1:45:24.120 --> 1:45:29.400
<v Speaker 4>greater the first path and maybe even longer into the

1:45:29.400 --> 1:45:32.799
<v Speaker 4>breeding season. So you know, we were able to enumerate

1:45:32.840 --> 1:45:34.639
<v Speaker 4>how many fawns you know that they sired.

1:45:35.040 --> 1:45:37.519
<v Speaker 1>He's a fighter, he's a fighter, and he does good

1:45:37.800 --> 1:45:39.080
<v Speaker 1>in the beginning of the breeding season.

1:45:39.200 --> 1:45:42.519
<v Speaker 4>Yeah, okay, yeah, yeah yeah, and then his body condition,

1:45:42.920 --> 1:45:46.760
<v Speaker 4>all of that fighting begins to take its toll on him.

1:45:46.960 --> 1:45:49.439
<v Speaker 4>Now keep in mind too, these are captive deer. They

1:45:49.439 --> 1:45:53.479
<v Speaker 4>got ad lib food, So I mean he's avoiding eating.

1:45:53.960 --> 1:45:57.519
<v Speaker 4>He is so consumed and obsessed with fighting and breeding.

1:45:57.960 --> 1:46:01.000
<v Speaker 4>But when you get a month, six weeks whatever into it,

1:46:01.200 --> 1:46:04.519
<v Speaker 4>his body condition begins to suffer. And now he starts

1:46:04.600 --> 1:46:08.200
<v Speaker 4>getting his butt kicked by the more passive deer who

1:46:08.280 --> 1:46:10.760
<v Speaker 4>now weighed even though they're the same age, even though

1:46:10.760 --> 1:46:14.000
<v Speaker 4>they weigh twenty pounds more. Those guys may be the shirkers.

1:46:14.280 --> 1:46:17.000
<v Speaker 4>Then they have higher breeding success later in the year.

1:46:17.720 --> 1:46:20.760
<v Speaker 4>So we kind of saw that, but compressed within year.

1:46:23.920 --> 1:46:27.760
<v Speaker 1>It's super interesting. But it's different than the idea that well,

1:46:27.760 --> 1:46:29.720
<v Speaker 1>we told this the one deer biologist. I'm sure you're

1:46:29.720 --> 1:46:31.720
<v Speaker 1>familiar with Jim half a finger. Oh yeah, yeah, So

1:46:31.760 --> 1:46:34.000
<v Speaker 1>we told this the one deer biologist, and he felt

1:46:34.040 --> 1:46:37.640
<v Speaker 1>that it was just like he felt, it was a

1:46:37.760 --> 1:46:42.880
<v Speaker 1>very questionable approach from an evolutionary standpoint, to be that, like,

1:46:43.000 --> 1:46:48.439
<v Speaker 1>you're alive now, you're sexually mature now, to put off

1:46:48.600 --> 1:46:52.559
<v Speaker 1>breeding opportunity after breeding opportunity after breeding opportunity in order

1:46:52.600 --> 1:46:56.120
<v Speaker 1>to really kick ass some year down the road just

1:46:56.120 --> 1:46:59.479
<v Speaker 1>didn't make sense. Risky, Yeah, like, you know, it just

1:46:59.479 --> 1:47:02.719
<v Speaker 1>didn't make sense as a way to really to to

1:47:02.960 --> 1:47:06.800
<v Speaker 1>put more progeny on the landscape that your banking that. Well,

1:47:07.520 --> 1:47:09.800
<v Speaker 1>I'm gonna have a hell of a year when I'm five. Yeah,

1:47:09.840 --> 1:47:12.320
<v Speaker 1>and I'm taking off two, three and four.

1:47:12.720 --> 1:47:14.320
<v Speaker 4>Yeah, I agree with that.

1:47:14.439 --> 1:47:22.240
<v Speaker 7>Yeah, what are the the guest reasons for this? I mean,

1:47:22.280 --> 1:47:26.599
<v Speaker 7>it's it's not I don't believe it's like a buck

1:47:26.720 --> 1:47:29.920
<v Speaker 7>makes a conscious choice to do this. So, like, what

1:47:30.080 --> 1:47:35.120
<v Speaker 7>would be the biological underpinnings if this were a thing.

1:47:36.000 --> 1:47:40.320
<v Speaker 4>Yeah, my well, I don't remember what hilarious geist all

1:47:40.360 --> 1:47:43.160
<v Speaker 4>of his reasoning, But I'm I'm trying to think about

1:47:43.320 --> 1:47:45.599
<v Speaker 4>a mechanism of how that could work.

1:47:45.760 --> 1:47:48.360
<v Speaker 7>And like onset of hormones and things.

1:47:48.160 --> 1:47:55.439
<v Speaker 4>Are happening differing testosterone levels, and whereas the example I

1:47:55.560 --> 1:47:59.559
<v Speaker 4>was giving with our data, I think it's within season,

1:48:00.160 --> 1:48:05.080
<v Speaker 4>different timing in the surging of testosterone. But there's some

1:48:05.120 --> 1:48:08.120
<v Speaker 4>great research out of Auburn University showing that there's a

1:48:08.240 --> 1:48:12.439
<v Speaker 4>lot of variation by age class, and so it could

1:48:12.439 --> 1:48:14.720
<v Speaker 4>be that those younger Bucks, and then there's gonna be

1:48:14.800 --> 1:48:17.360
<v Speaker 4>variation within an age class where some have born, some

1:48:17.400 --> 1:48:19.280
<v Speaker 4>have less, and so some of them, they just don't

1:48:19.320 --> 1:48:21.080
<v Speaker 4>have a lot of testosterone. When they're two or three

1:48:21.160 --> 1:48:26.920
<v Speaker 4>years of age. They're looking at this particular older, dominant, bigger, antlered,

1:48:26.920 --> 1:48:31.400
<v Speaker 4>bigger bodied buck and maybe it's a survival strategy. Man,

1:48:31.439 --> 1:48:35.000
<v Speaker 4>I'm not gonna risk it. But then later in life

1:48:35.160 --> 1:48:39.439
<v Speaker 4>greater surgeon testosterone and they risk it and go for it.

1:48:40.520 --> 1:48:41.719
<v Speaker 3>What do you wind up seeing?

1:48:43.360 --> 1:48:45.200
<v Speaker 1>If you think of an old buck that gets a

1:48:45.240 --> 1:48:49.200
<v Speaker 1>reputation with hunters as being like, he's so stealthy, he's shy,

1:48:49.520 --> 1:48:51.799
<v Speaker 1>he's sly, right.

1:48:55.160 --> 1:48:58.400
<v Speaker 3>That that's got to be real, right, But what is that?

1:48:58.479 --> 1:48:58.760
<v Speaker 1>What is it?

1:48:58.840 --> 1:49:00.240
<v Speaker 3>What do you think he's doing?

1:49:00.360 --> 1:49:02.880
<v Speaker 1>What is he not doing? You know?

1:49:03.080 --> 1:49:04.840
<v Speaker 3>When he gets to be that they just seem like

1:49:05.280 --> 1:49:06.160
<v Speaker 3>they vanish.

1:49:06.439 --> 1:49:10.320
<v Speaker 4>Yeah, right, And and to me that that's a really

1:49:10.320 --> 1:49:13.519
<v Speaker 4>good question of ways you have to think about it.

1:49:14.200 --> 1:49:19.439
<v Speaker 4>So is it that that buck has always been that

1:49:19.600 --> 1:49:24.040
<v Speaker 4>way and the ones that were dumber were killed? So

1:49:24.200 --> 1:49:25.840
<v Speaker 4>selection that's great going on?

1:49:25.960 --> 1:49:27.000
<v Speaker 1>Yeah?

1:49:27.160 --> 1:49:31.679
<v Speaker 4>Or are they literally learning and modifying their behavior over time?

1:49:32.680 --> 1:49:35.479
<v Speaker 1>Like I love, I love what you're saying. I would

1:49:35.520 --> 1:49:37.880
<v Speaker 1>have when I approached the question. I was approaching that

1:49:37.920 --> 1:49:40.599
<v Speaker 1>he learned it, yeah, not that he's just always been paranoid.

1:49:40.800 --> 1:49:44.160
<v Speaker 4>Yeah, it's probably a little bit of both as well,

1:49:44.360 --> 1:49:49.160
<v Speaker 4>would be my guess. Yeah, so what what are they

1:49:49.200 --> 1:49:52.840
<v Speaker 4>doing different? I think it's probably just being more perceptive

1:49:52.960 --> 1:49:57.280
<v Speaker 4>and maybe being more slow in how they process what's

1:49:57.320 --> 1:49:59.639
<v Speaker 4>going on. They're not as much of a risk taker,

1:50:00.479 --> 1:50:02.600
<v Speaker 4>and so they're playing for the long game of like

1:50:03.400 --> 1:50:05.960
<v Speaker 4>I might not breed as many doves within a year,

1:50:06.080 --> 1:50:10.479
<v Speaker 4>but lifetime reproductive success I may win. Yeah, things like that.

1:50:10.960 --> 1:50:16.400
<v Speaker 1>Yeah, there seems like there's some learn stuff like looking

1:50:16.479 --> 1:50:20.080
<v Speaker 1>up in trees, you know what I mean, like learning

1:50:20.160 --> 1:50:22.479
<v Speaker 1>like in certain areas. He's just like looking up, looking up,

1:50:22.520 --> 1:50:27.639
<v Speaker 1>looking up, like because he's seen before, yeah, trees. Yeah,

1:50:27.680 --> 1:50:30.479
<v Speaker 1>and like the coming out of the box, like a

1:50:30.640 --> 1:50:32.840
<v Speaker 1>year and a half old buck probably hasn't figured out

1:50:32.920 --> 1:50:36.519
<v Speaker 1>yet to like yeah look up. Yeah you know.

1:50:37.560 --> 1:50:40.840
<v Speaker 4>Yeah, and so does that yearling buck have to live

1:50:40.960 --> 1:50:45.559
<v Speaker 4>through a bad experience and then he's able to he's

1:50:45.600 --> 1:50:47.439
<v Speaker 4>going to be looking from this point forward.

1:50:47.560 --> 1:50:50.959
<v Speaker 1>Yeah, or a yearling bucks that are just so paranoid

1:50:50.960 --> 1:50:52.480
<v Speaker 1>they're looking all around, And.

1:50:52.240 --> 1:50:54.760
<v Speaker 2>It's good they learn it from their five year old mother.

1:50:55.720 --> 1:50:56.439
<v Speaker 4>I think they do.

1:50:56.680 --> 1:51:00.400
<v Speaker 1>Oh that's a good point too. Yeah, she's like the

1:51:00.439 --> 1:51:04.200
<v Speaker 1>big cherry tree at the point, the point that juts

1:51:04.200 --> 1:51:05.040
<v Speaker 1>out between the fields.

1:51:05.080 --> 1:51:06.360
<v Speaker 3>Don't go by that cherry tree.

1:51:06.400 --> 1:51:09.400
<v Speaker 1>You know. The other thing is specific cherry tree I

1:51:09.400 --> 1:51:12.559
<v Speaker 1>grew up by with the deer dude, like the Ranella's

1:51:12.680 --> 1:51:13.759
<v Speaker 1>are always in that tree.

1:51:15.040 --> 1:51:18.559
<v Speaker 2>There's less of those bucks on the landscape too, so

1:51:18.600 --> 1:51:22.559
<v Speaker 2>we just we have this perception that we see them less.

1:51:22.640 --> 1:51:25.400
<v Speaker 2>So there's sneakier though, but it's just like a numbers

1:51:25.439 --> 1:51:27.920
<v Speaker 2>game where you're just gonna see less of those bucks,

1:51:28.200 --> 1:51:29.880
<v Speaker 2>even if they're moving just as much as the two

1:51:29.960 --> 1:51:33.320
<v Speaker 2>year olds, because there's I don't know where percentage is

1:51:33.360 --> 1:51:37.200
<v Speaker 2>in most populations, but yeah, much less.

1:51:37.800 --> 1:51:42.800
<v Speaker 4>Yeah, all depends on punting rate and mortality. But but yeah,

1:51:42.880 --> 1:51:46.200
<v Speaker 4>that's gonna be uh yeah. I mean even in a

1:51:46.439 --> 1:51:50.000
<v Speaker 4>well managed population, less than twenty five percent of the

1:51:50.040 --> 1:51:54.000
<v Speaker 4>bucks are going to be something like that. And that's

1:51:54.040 --> 1:51:56.040
<v Speaker 4>just based on age. And then when you start adding

1:51:56.040 --> 1:51:58.799
<v Speaker 4>in antler size, it's gonna be less than ten percent

1:51:58.920 --> 1:52:01.519
<v Speaker 4>are gonna resemble something like that. So they're very rare.

1:52:03.240 --> 1:52:05.400
<v Speaker 6>In twenty fifteen, I tried very hard to kill a

1:52:05.439 --> 1:52:07.400
<v Speaker 6>cactus buck. And if you're listening, you don't know what

1:52:07.400 --> 1:52:09.200
<v Speaker 6>that is. It's A cactus buck is a buck who

1:52:09.240 --> 1:52:12.160
<v Speaker 6>does not shut his velvet, and sometimes he will grow

1:52:12.320 --> 1:52:14.439
<v Speaker 6>a unique rack as a result of that. It could

1:52:14.479 --> 1:52:17.840
<v Speaker 6>be a testosterone problem that his testicles never dropped. It

1:52:17.840 --> 1:52:20.519
<v Speaker 6>could be that he was crossing a fence and ripped

1:52:20.520 --> 1:52:24.120
<v Speaker 6>his sack open one time. And that cactus buck was

1:52:24.240 --> 1:52:26.160
<v Speaker 6>very hard to kill because it seemed as though he

1:52:26.160 --> 1:52:28.880
<v Speaker 6>didn't participate in the rut. He just like didn't loosen

1:52:29.000 --> 1:52:32.439
<v Speaker 6>up and become reckless like the other bucks would. Have

1:52:32.520 --> 1:52:35.080
<v Speaker 6>you ever looked at the movement of a cactus buck?

1:52:35.640 --> 1:52:36.200
<v Speaker 4>Have not?

1:52:36.760 --> 1:52:37.120
<v Speaker 1>Have not?

1:52:37.360 --> 1:52:40.880
<v Speaker 4>We've never, I guess been lucky enough to have a

1:52:40.920 --> 1:52:45.960
<v Speaker 4>collar on one, but a property that a hunt has one.

1:52:46.360 --> 1:52:50.360
<v Speaker 4>Right now, He just got pictures from a puny buddy

1:52:50.360 --> 1:52:53.040
<v Speaker 4>about a week ago that the cactus buck is back.

1:52:53.120 --> 1:52:55.080
<v Speaker 4>So see there last year, It was there last year.

1:52:55.120 --> 1:52:56.479
<v Speaker 6>What did you notice him due last year?

1:52:57.280 --> 1:52:57.519
<v Speaker 5>He?

1:52:57.720 --> 1:52:59.519
<v Speaker 4>Uh, he hung out with the doze.

1:52:59.680 --> 1:53:00.600
<v Speaker 1>Yeah.

1:53:00.680 --> 1:53:02.519
<v Speaker 6>Yeah, they just like don't participate in the room.

1:53:02.560 --> 1:53:05.280
<v Speaker 4>Nope, not at all.

1:53:05.720 --> 1:53:06.200
<v Speaker 6>Uh.

1:53:07.080 --> 1:53:12.760
<v Speaker 1>The deer writer Pat Durkin, he had an observation where

1:53:12.760 --> 1:53:15.600
<v Speaker 1>he when he was the editor Deer and Deer Hunting magazine,

1:53:15.800 --> 1:53:21.200
<v Speaker 1>he profiled a great many big buck killers okay, and

1:53:21.240 --> 1:53:25.920
<v Speaker 1>he had come to this kind of realization after a while.

1:53:25.960 --> 1:53:30.040
<v Speaker 1>There's a lot of amazing big buck killers. They couldn't

1:53:30.040 --> 1:53:31.880
<v Speaker 1>tell you what kind of tree their tree stands hanging in,

1:53:32.680 --> 1:53:36.280
<v Speaker 1>meaning it's just like it's not like a wood's there's

1:53:36.320 --> 1:53:38.559
<v Speaker 1>a point at which it's not like a woodsmanship thing.

1:53:38.760 --> 1:53:41.439
<v Speaker 1>It's like they're just good at killing box. They're not

1:53:41.680 --> 1:53:47.920
<v Speaker 1>generalist woodsmen. You know, do you ever feel like your research,

1:53:49.960 --> 1:53:53.880
<v Speaker 1>like in real on the ground application as a deer hunter,

1:53:53.960 --> 1:53:56.920
<v Speaker 1>does your research guide your activities or is like deer

1:53:57.040 --> 1:54:01.640
<v Speaker 1>hunting is just deer hunting and it doesn't matter what

1:54:01.680 --> 1:54:03.920
<v Speaker 1>you know to be true from all your projects.

1:54:04.280 --> 1:54:11.040
<v Speaker 4>Yeah, yes, it does guides. Yeah, And a lot of

1:54:11.040 --> 1:54:15.240
<v Speaker 4>that is about hunting pressure and thinking about and you know,

1:54:15.320 --> 1:54:18.640
<v Speaker 4>this doesn't work everywhere in the US. In the southeast,

1:54:18.720 --> 1:54:20.640
<v Speaker 4>you know a lot a lot of stand hunting, a

1:54:20.640 --> 1:54:23.800
<v Speaker 4>lot of permanent stand hunting and so forth, and and

1:54:24.000 --> 1:54:27.919
<v Speaker 4>just recognizing that deer know when you're on the property

1:54:28.479 --> 1:54:32.600
<v Speaker 4>and it's and it's not gunshots, it's it's you being there,

1:54:32.840 --> 1:54:37.080
<v Speaker 4>you being on an ATV. It's the smells, the sounds,

1:54:37.120 --> 1:54:40.760
<v Speaker 4>all that they they know when you're there. And one

1:54:40.800 --> 1:54:43.800
<v Speaker 4>thing that has really changed when we try to really

1:54:43.840 --> 1:54:49.240
<v Speaker 4>advise now is when when you hunt, if you're going

1:54:49.280 --> 1:54:52.480
<v Speaker 4>to hunt a particular stand, particular area, only go on

1:54:52.560 --> 1:54:56.000
<v Speaker 4>the days where you're going to minimize the opportunity of

1:54:56.080 --> 1:54:59.760
<v Speaker 4>bumping deer, because we know the research I talked about earlier.

1:55:00.080 --> 1:55:02.919
<v Speaker 4>After a couple days and deer know you're on the property,

1:55:03.360 --> 1:55:07.120
<v Speaker 4>they're going to start behaving differently. So doing whatever you

1:55:07.160 --> 1:55:11.440
<v Speaker 4>can to minimize your footprint, so to speak, on the property.

1:55:12.120 --> 1:55:15.760
<v Speaker 4>That's probably one of the biggest things. And then some

1:55:15.880 --> 1:55:20.600
<v Speaker 4>really boring stuff that people roll their eyes about. But

1:55:21.080 --> 1:55:26.080
<v Speaker 4>in terms of antler quality, herd condition, things like that density,

1:55:26.800 --> 1:55:31.400
<v Speaker 4>deer density, dough harvest, stuff like that. I know how

1:55:31.440 --> 1:55:34.840
<v Speaker 4>critically important that is. And people are trying to figure

1:55:34.840 --> 1:55:36.880
<v Speaker 4>out what the heck's going on with our deer. The

1:55:36.960 --> 1:55:39.320
<v Speaker 4>quality of the deer is down, we're doing all this,

1:55:39.440 --> 1:55:41.440
<v Speaker 4>that and the other. You just got too many deer.

1:55:42.120 --> 1:55:45.120
<v Speaker 4>You just have too many mouths relative to the amount

1:55:45.160 --> 1:55:49.080
<v Speaker 4>of range that you have in the food supply. So

1:55:49.840 --> 1:55:51.680
<v Speaker 4>pretty mundane. But stuff like that.

1:55:51.840 --> 1:55:56.840
<v Speaker 1>Yeah, well, I could definitely picture management information, But just

1:55:56.920 --> 1:55:59.880
<v Speaker 1>like how you go about where you're putting your stand,

1:56:00.080 --> 1:56:02.240
<v Speaker 1>when you're out there what you're doing with the wind,

1:56:02.720 --> 1:56:04.920
<v Speaker 1>But I could see with the stuff, with the research

1:56:04.960 --> 1:56:08.400
<v Speaker 1>you've done around how they handle pressure, you might look

1:56:08.440 --> 1:56:11.360
<v Speaker 1>at a place, look what everybody's up to, and then

1:56:11.560 --> 1:56:13.560
<v Speaker 1>based on what you've seen, be like I think when

1:56:13.600 --> 1:56:15.320
<v Speaker 1>the pressure hits, I think you're going to see more

1:56:15.320 --> 1:56:17.080
<v Speaker 1>of this, You're gonna see less of that, and that

1:56:17.160 --> 1:56:18.240
<v Speaker 1>might guide your movements.

1:56:18.560 --> 1:56:21.440
<v Speaker 4>Yeah, what I do all the time. So, yeah, what

1:56:21.480 --> 1:56:24.400
<v Speaker 4>we talked about approach, try to minimize your disturbance of

1:56:24.440 --> 1:56:29.000
<v Speaker 4>the deer. I think about during the rut, I think

1:56:29.040 --> 1:56:33.680
<v Speaker 4>about where are those dough focal groups on the landscape.

1:56:34.200 --> 1:56:37.320
<v Speaker 4>What are going to be the movement or cover corridors

1:56:37.680 --> 1:56:41.440
<v Speaker 4>that might link those areas up and so it won't

1:56:41.440 --> 1:56:44.040
<v Speaker 4>be hunting on food. It's going to be hunting on

1:56:44.120 --> 1:56:47.480
<v Speaker 4>a corridor. And then finally when you get to the

1:56:47.520 --> 1:56:50.720
<v Speaker 4>post rut, I'm focusing on food. So the evidence is

1:56:50.800 --> 1:56:54.080
<v Speaker 4>really really clear with that. When you get a month

1:56:54.200 --> 1:56:56.600
<v Speaker 4>past the peak of the rut, they got to recover

1:56:56.680 --> 1:56:59.640
<v Speaker 4>that twenty percent of their body weight. They're hungry, and

1:56:59.720 --> 1:57:01.720
<v Speaker 4>food plots in my neck of the woods us a

1:57:01.760 --> 1:57:02.680
<v Speaker 4>great place to haunt.

1:57:03.240 --> 1:57:07.960
<v Speaker 3>M think, well, that spencer Newhart.

1:57:08.600 --> 1:57:10.120
<v Speaker 6>Can I make two study requests?

1:57:10.720 --> 1:57:13.080
<v Speaker 4>Absolutely well, okay one of them.

1:57:13.360 --> 1:57:15.760
<v Speaker 6>I haunt a lot of places in the West where

1:57:16.080 --> 1:57:20.920
<v Speaker 6>whitetail habitat and mule deer habitat overlap, but I never

1:57:20.920 --> 1:57:23.120
<v Speaker 6>see them interact with each other. I'm always like pretty

1:57:23.120 --> 1:57:25.040
<v Speaker 6>shocked that I could. I could, in the same hunt

1:57:25.400 --> 1:57:27.840
<v Speaker 6>see a couple of white tails and a couple of

1:57:27.920 --> 1:57:31.040
<v Speaker 6>mule deers, but they like don't have any social interaction

1:57:31.840 --> 1:57:34.640
<v Speaker 6>anything to do with them. I would be very interested in,

1:57:34.840 --> 1:57:36.480
<v Speaker 6>like if if you took that same study and you

1:57:36.480 --> 1:57:40.160
<v Speaker 6>put a dough down a corral and she got to

1:57:40.240 --> 1:57:42.360
<v Speaker 6>choose between a muley buck and a white tail buck,

1:57:42.560 --> 1:57:45.760
<v Speaker 6>I imagine would be very high highly skewed for the white

1:57:45.760 --> 1:57:47.960
<v Speaker 6>tail buck, like ninety plus percent, just based on what

1:57:48.000 --> 1:57:51.080
<v Speaker 6>I've seen. But I don't know that I'm interested in

1:57:51.120 --> 1:57:53.800
<v Speaker 6>anything like what a white tail buck and a mule

1:57:53.880 --> 1:57:56.320
<v Speaker 6>deer buck would do if they encountered each other.

1:57:56.480 --> 1:57:58.240
<v Speaker 1>That's a great thing. Or if you just took like

1:57:59.400 --> 1:58:04.200
<v Speaker 1>if you just took like older arrays hmm, like order

1:58:04.320 --> 1:58:07.240
<v Speaker 1>from a mild deer dough and estriss and odor from

1:58:07.240 --> 1:58:09.880
<v Speaker 1>a white tail dough and estrus and like put it

1:58:09.920 --> 1:58:11.840
<v Speaker 1>in front of both boxes. He like, oh, that's the

1:58:11.880 --> 1:58:13.680
<v Speaker 1>white tail, you know, Yeah, that's a great.

1:58:13.560 --> 1:58:16.720
<v Speaker 6>And in my observations, they interact as though like an

1:58:16.760 --> 1:58:19.040
<v Speaker 6>elk in a white tail would interact. They just show

1:58:19.120 --> 1:58:21.360
<v Speaker 6>no interest in each other. But I can't imagine it's

1:58:21.360 --> 1:58:21.840
<v Speaker 6>that simple.

1:58:21.880 --> 1:58:23.000
<v Speaker 3>You know, how you get funding for this?

1:58:23.720 --> 1:58:25.520
<v Speaker 1>Remember how a few years ago you couldn't get funding

1:58:25.520 --> 1:58:28.200
<v Speaker 1>for anything if it didn't have to do with climate. Yeah, okay,

1:58:29.120 --> 1:58:31.839
<v Speaker 1>so pitch it like this. More and more white tails

1:58:31.920 --> 1:58:34.640
<v Speaker 1>moving into more and more mildier country, mild deer are

1:58:34.680 --> 1:58:36.840
<v Speaker 1>in a tough spot. Milder are probably going to be

1:58:36.880 --> 1:58:39.880
<v Speaker 1>in a tougher spot with increased competition from white tails

1:58:40.000 --> 1:58:43.240
<v Speaker 1>increase competition for elk. So go to the Mild Deer

1:58:43.400 --> 1:58:46.680
<v Speaker 1>Foundation and be like, we need to understand more about

1:58:46.720 --> 1:58:49.240
<v Speaker 1>as these as these white tails are colonizing more and

1:58:49.280 --> 1:58:51.960
<v Speaker 1>more mildier country, how do they interact? We did, and

1:58:52.000 --> 1:58:54.280
<v Speaker 1>here's all you're funding. Now there you go, got that problem.

1:58:54.800 --> 1:58:56.960
<v Speaker 4>What do you think on like how they interact with

1:58:57.000 --> 1:58:59.960
<v Speaker 4>each other in the wild. Don't know a lot about

1:59:00.160 --> 1:59:02.280
<v Speaker 4>that because that's out of my that's side of my

1:59:02.360 --> 1:59:05.760
<v Speaker 4>home range over there, But I do think it would

1:59:05.800 --> 1:59:10.320
<v Speaker 4>be interesting to challenge a white tailed dough with a

1:59:10.520 --> 1:59:15.360
<v Speaker 4>fully mature, large antlered mule deer and then a smaller,

1:59:15.680 --> 1:59:21.360
<v Speaker 4>younger whitetail. Really, is it the species straw or the

1:59:21.360 --> 1:59:25.160
<v Speaker 4>the phenotype of this is a good father, a good sire.

1:59:25.120 --> 1:59:27.560
<v Speaker 6>And biology would tell us that she would be making

1:59:27.560 --> 1:59:30.400
<v Speaker 6>a poor decision by going with the Muley right, because

1:59:30.440 --> 1:59:34.280
<v Speaker 6>their offspring really fail with their escape mechanism, like they

1:59:34.320 --> 1:59:39.280
<v Speaker 6>can't start or something like that is viable. I don't

1:59:39.320 --> 1:59:40.280
<v Speaker 6>know if that's is that true?

1:59:40.360 --> 1:59:41.960
<v Speaker 1>I think that I think it's like I think it's

1:59:42.040 --> 1:59:43.760
<v Speaker 1>like a horse.

1:59:43.400 --> 1:59:44.800
<v Speaker 3>And a donkey throwing a mule.

1:59:45.040 --> 1:59:45.640
<v Speaker 6>I thought.

1:59:48.080 --> 1:59:50.320
<v Speaker 1>They're viable. Okay, they're sexually viable.

1:59:50.320 --> 1:59:51.800
<v Speaker 6>We're gonna learn when he does the study.

1:59:52.320 --> 1:59:54.240
<v Speaker 1>You know what I'd throw into that study? Man, if

1:59:54.280 --> 1:59:58.240
<v Speaker 1>you got like time to burn, man, if there's any

1:59:58.400 --> 2:00:03.760
<v Speaker 1>like h if symmetry matters to dose joan, is there

2:00:03.760 --> 2:00:09.720
<v Speaker 1>any like disadvantage to being atypical? It probably gets hard

2:00:09.760 --> 2:00:12.400
<v Speaker 1>after a while to tease out all these little differences, though,

2:00:12.440 --> 2:00:12.760
<v Speaker 1>don't it.

2:00:12.920 --> 2:00:20.240
<v Speaker 4>Yeah, but you could manipulate it. It would be obvious. Yeah, yeah, nine, yeah, yeah,

2:00:20.240 --> 2:00:22.800
<v Speaker 4>you could attach stuff to where it's really.

2:00:22.920 --> 2:00:24.480
<v Speaker 3>He's got a club on one side.

2:00:24.720 --> 2:00:26.560
<v Speaker 1>Yeah, yeah, you can do that.

2:00:27.200 --> 2:00:29.920
<v Speaker 6>The other study I'd be interested in is a deer's

2:00:30.000 --> 2:00:32.920
<v Speaker 6>response to yellow soybeans. I've been told all my life,

2:00:33.000 --> 2:00:34.680
<v Speaker 6>and I feel like I've maybe witnessed it some but

2:00:34.720 --> 2:00:37.080
<v Speaker 6>I don't know if I'm witnessing it because I'm supposed

2:00:37.120 --> 2:00:39.680
<v Speaker 6>to witness it. But a deer given the choice in

2:00:39.760 --> 2:00:41.960
<v Speaker 6>a in a big old soybean field, if there's some

2:00:42.200 --> 2:00:45.800
<v Speaker 6>green beans, some yellow beans, and some brown beans, which

2:00:45.840 --> 2:00:48.360
<v Speaker 6>the yellow is the ripening stage going from green to brown,

2:00:48.800 --> 2:00:51.160
<v Speaker 6>they won't pick the yellow ones. They just taste worse,

2:00:51.760 --> 2:00:55.000
<v Speaker 6>taste worse. Is that something you've heard seen?

2:00:56.000 --> 2:01:00.840
<v Speaker 4>No, I haven't, but I think that's logical. So turning

2:01:00.920 --> 2:01:03.280
<v Speaker 4>yellow from the desiccation that they're growing.

2:01:05.160 --> 2:01:08.360
<v Speaker 1>Sounds like yeah, good? Like that. You know. I got

2:01:08.360 --> 2:01:11.200
<v Speaker 1>some friends that are songwriters, and over the years, I've

2:01:11.240 --> 2:01:12.720
<v Speaker 1>learned that they just do not want to hear our

2:01:12.760 --> 2:01:16.880
<v Speaker 1>song ideas. But they don't even when you try to

2:01:16.880 --> 2:01:18.280
<v Speaker 1>do it like a joke and give them a song

2:01:18.320 --> 2:01:19.960
<v Speaker 1>idea but you're serious, but you're trying to act like

2:01:19.960 --> 2:01:21.440
<v Speaker 1>it's a joke, they don't want to hear it.

2:01:21.720 --> 2:01:25.840
<v Speaker 4>I like how you use the word hour. But but

2:01:26.240 --> 2:01:28.400
<v Speaker 4>do they give you the obligatory that's a good.

2:01:29.840 --> 2:01:32.120
<v Speaker 3>Just nothing to it. Do you like hearing study ideas?

2:01:32.840 --> 2:01:38.520
<v Speaker 1>I do. Snow, you got a pile of.

2:01:39.360 --> 2:01:42.160
<v Speaker 4>Some of them. Some of them can be really cuckoo.

2:01:43.040 --> 2:01:46.040
<v Speaker 4>So you're you know, you're given a seminar and you

2:01:46.080 --> 2:01:50.840
<v Speaker 4>always have what you ought to do? Is sure that

2:01:50.880 --> 2:01:51.480
<v Speaker 4>can get old?

2:01:53.360 --> 2:01:54.040
<v Speaker 1>What else? Man?

2:01:54.160 --> 2:01:55.120
<v Speaker 3>I could go on all day.

2:01:55.600 --> 2:01:57.680
<v Speaker 6>They just like to cap it off. If if hunters

2:01:57.720 --> 2:02:00.000
<v Speaker 6>want to take what you've seen in your movement still

2:02:00.000 --> 2:02:01.640
<v Speaker 6>but he's an apply it to the rut this year?

2:02:01.800 --> 2:02:02.760
<v Speaker 6>What does that look like?

2:02:02.920 --> 2:02:03.160
<v Speaker 1>Yeah?

2:02:03.200 --> 2:02:05.200
<v Speaker 6>Yeah, how can they be more successful?

2:02:06.840 --> 2:02:11.520
<v Speaker 4>So if you again, if you're going after a target buck,

2:02:11.720 --> 2:02:16.640
<v Speaker 4>a particular buck, your greater opportunity for him to demonstrate

2:02:17.000 --> 2:02:19.320
<v Speaker 4>site fidelity. So if you know where he's hanging out,

2:02:19.920 --> 2:02:23.360
<v Speaker 4>you need to do that in the pre rut. If

2:02:23.400 --> 2:02:26.160
<v Speaker 4>on the other hand, you are just gonna there's a

2:02:26.200 --> 2:02:28.200
<v Speaker 4>lot of big bucks in the area. I just want

2:02:28.200 --> 2:02:31.640
<v Speaker 4>to increase my odds for intercepting one that's going to

2:02:31.720 --> 2:02:33.960
<v Speaker 4>be during the peak of the rut, a.

2:02:33.840 --> 2:02:36.040
<v Speaker 6>Pre rut window being like late October.

2:02:36.720 --> 2:02:39.000
<v Speaker 4>Well it depends when you is, say it's like a.

2:02:39.080 --> 2:02:40.960
<v Speaker 6>November fifteen rut, that's the peak rut.

2:02:41.040 --> 2:02:44.320
<v Speaker 4>Yeah, so let's go one month or greater before the

2:02:44.360 --> 2:02:47.600
<v Speaker 4>peak of the rut. Okay, yeah, so like October fifteen

2:02:47.680 --> 2:02:50.440
<v Speaker 4>then in your neck of the woods. Yeah okay, yeah,

2:02:50.440 --> 2:02:51.160
<v Speaker 4>that'd be about right.

2:02:51.440 --> 2:02:54.360
<v Speaker 1>Okay, So just make sure I'm track what you're saying,

2:02:54.400 --> 2:02:56.600
<v Speaker 1>Like when we when you pick the November fifteenth, we

2:02:56.640 --> 2:02:59.120
<v Speaker 1>would agree that peak rut is sort of like the

2:02:59.200 --> 2:03:02.640
<v Speaker 1>day when you have the highest relative number of doughs

2:03:02.640 --> 2:03:05.400
<v Speaker 1>in estres. That's what is that fair to define peak

2:03:05.440 --> 2:03:05.960
<v Speaker 1>rut that way?

2:03:06.360 --> 2:03:09.080
<v Speaker 4>Yeah, but rather than day, we might say over a

2:03:09.120 --> 2:03:12.960
<v Speaker 4>two week, over a two week period, about half of

2:03:13.040 --> 2:03:16.560
<v Speaker 4>the does have been into estres. So yes, that is

2:03:16.600 --> 2:03:19.800
<v Speaker 4>going to be the series of days where the greatest

2:03:19.840 --> 2:03:20.920
<v Speaker 4>number and greatest proportion.

2:03:21.480 --> 2:03:23.880
<v Speaker 1>So there's a there's a two week window, like if

2:03:23.920 --> 2:03:26.640
<v Speaker 1>you take a like just generally with white tail deer,

2:03:26.680 --> 2:03:29.760
<v Speaker 1>there's a two week window in which fifty percent of

2:03:29.760 --> 2:03:32.640
<v Speaker 1>the does come into estres. And we're going to declare

2:03:32.680 --> 2:03:34.360
<v Speaker 1>that two week window peak rut.

2:03:34.560 --> 2:03:38.240
<v Speaker 4>Yeah, you know, if it's a synchronized rut and so forth.

2:03:38.480 --> 2:03:41.200
<v Speaker 1>Yeah, generally speaking, So that that's kind of funny because

2:03:41.200 --> 2:03:43.960
<v Speaker 1>then when you hear guys killing some giant that no

2:03:44.000 --> 2:03:48.920
<v Speaker 1>one has ever seen, never showed up on their cameras, like,

2:03:49.040 --> 2:03:52.320
<v Speaker 1>that's that, dude, it's cruise, an excursion, he's an excursion book. Yeah,

2:03:52.360 --> 2:03:55.520
<v Speaker 1>he excurreted off your place. Yeah, and excirted on some

2:03:55.600 --> 2:03:56.200
<v Speaker 1>other goal.

2:03:56.240 --> 2:03:57.480
<v Speaker 4>Somebody else and they got him.

2:03:57.680 --> 2:03:58.720
<v Speaker 1>Yeah, exactly right.

2:04:00.640 --> 2:04:03.280
<v Speaker 4>And then if you didn't get them pre rut, if

2:04:03.280 --> 2:04:05.880
<v Speaker 4>you didn't get them during the rut, hunt food in

2:04:05.920 --> 2:04:11.400
<v Speaker 4>the post rut, okay, yeah, and during the rut you

2:04:11.480 --> 2:04:16.160
<v Speaker 4>might want to here's an interesting finding. We actually looked

2:04:16.200 --> 2:04:19.480
<v Speaker 4>at food plot use, two different types of food plot use,

2:04:21.280 --> 2:04:23.920
<v Speaker 4>and so on our study area. By the way, our

2:04:23.920 --> 2:04:27.400
<v Speaker 4>study area was fifty to sixty thousand acres, so pretty big,

2:04:27.440 --> 2:04:30.600
<v Speaker 4>pretty big footprint, and we had every making model of

2:04:30.640 --> 2:04:32.800
<v Speaker 4>food plot you could have. We had quarter acre food

2:04:32.800 --> 2:04:36.440
<v Speaker 4>plots acre all the way up to twenty acre food plots,

2:04:36.920 --> 2:04:39.640
<v Speaker 4>and so we wanted to look at is there any

2:04:39.800 --> 2:04:45.560
<v Speaker 4>food plot size that deer would come to that disproportionately and.

2:04:45.520 --> 2:04:48.760
<v Speaker 2>So the size you weren't varying what you were growing.

2:04:50.000 --> 2:04:54.760
<v Speaker 4>Good, good question. We had so many food plots that

2:04:54.800 --> 2:04:57.160
<v Speaker 4>we had to assume that some of them had wheat

2:04:57.160 --> 2:04:59.680
<v Speaker 4>and clover some of them had brassicas. We had to

2:04:59.680 --> 2:05:02.920
<v Speaker 4>assume all that kind of smoothed, doubt that the actual

2:05:03.080 --> 2:05:06.400
<v Speaker 4>plantings within it. But yes, it was just size and

2:05:06.920 --> 2:05:12.920
<v Speaker 4>what we found. Even though two times the amount of

2:05:12.960 --> 2:05:18.200
<v Speaker 4>like the smaller one acre food plots, the sweet spot

2:05:18.360 --> 2:05:23.880
<v Speaker 4>was three four five acres. Really they disproportionately selected that

2:05:24.280 --> 2:05:25.440
<v Speaker 4>size of plot.

2:05:26.040 --> 2:05:27.360
<v Speaker 1>That feels secure to them.

2:05:27.480 --> 2:05:32.560
<v Speaker 4>So why why would they do that? And so we

2:05:33.040 --> 2:05:38.160
<v Speaker 4>think it's because what do small food plots not provide

2:05:38.560 --> 2:05:42.360
<v Speaker 4>over the course of the hunting season. What happens to them?

2:05:42.680 --> 2:05:43.520
<v Speaker 2>They get eaten out.

2:05:43.440 --> 2:05:47.040
<v Speaker 4>They get over brows, they get overwhelmed. So not only

2:05:47.080 --> 2:05:49.240
<v Speaker 4>because of the size of it and the number of

2:05:49.320 --> 2:05:52.120
<v Speaker 4>deer on it. You don't have as many hours of

2:05:52.400 --> 2:05:55.640
<v Speaker 4>photosynthesis going on because the smaller in the shade all that.

2:05:56.040 --> 2:05:58.960
<v Speaker 4>Then you get to this three four five acre. Now

2:05:59.000 --> 2:06:03.120
<v Speaker 4>you've got a big area. You're now producing more forage

2:06:03.440 --> 2:06:07.680
<v Speaker 4>per acre, and now we've got a social aspect of

2:06:07.720 --> 2:06:10.160
<v Speaker 4>it too, which I'll get to in a second. But

2:06:10.200 --> 2:06:12.680
<v Speaker 4>then after that it was diminishing returns. So we didn't

2:06:12.680 --> 2:06:14.920
<v Speaker 4>see anything greater of a ten acre plot versus a

2:06:14.920 --> 2:06:15.680
<v Speaker 4>three acre plot.

2:06:17.080 --> 2:06:22.320
<v Speaker 1>Oh okay, they didn't prefer five over twenty.

2:06:22.360 --> 2:06:22.800
<v Speaker 4>They did.

2:06:23.320 --> 2:06:24.080
<v Speaker 1>I'm sorry they did.

2:06:24.160 --> 2:06:26.760
<v Speaker 4>Yeah, yeah, yeah, And so we saw a big drop

2:06:26.800 --> 2:06:32.560
<v Speaker 4>off in relative to their availability on the landscape. Deer

2:06:32.600 --> 2:06:38.320
<v Speaker 4>were disproportionately choosing those plots over the ones smaller and

2:06:38.400 --> 2:06:39.440
<v Speaker 4>the ones larger.

2:06:39.600 --> 2:06:41.640
<v Speaker 1>What's the argument against a bigger plot? Do you think

2:06:41.760 --> 2:06:42.360
<v Speaker 1>in his head?

2:06:43.640 --> 2:06:46.600
<v Speaker 4>I think you reach a particular size and there's just

2:06:46.640 --> 2:06:49.640
<v Speaker 4>only so many deer in the area or are gonna

2:06:49.760 --> 2:06:50.320
<v Speaker 4>use it.

2:06:51.400 --> 2:06:52.800
<v Speaker 6>And I would say they're vulnerable.

2:06:53.040 --> 2:06:59.240
<v Speaker 1>There's it's like a like like why do you feel

2:06:59.760 --> 2:07:06.440
<v Speaker 1>a avoids? Like why is he avoiding a big food plot?

2:07:06.960 --> 2:07:09.280
<v Speaker 4>I see what you mean. Now, yeah, he doesn't want

2:07:09.280 --> 2:07:11.680
<v Speaker 4>to go into the middle of a big, old ten

2:07:11.800 --> 2:07:16.240
<v Speaker 4>or twenty acres. Yeah, because that's security possibly, so yes, exposure.

2:07:15.800 --> 2:07:16.680
<v Speaker 1>It's exposed.

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<v Speaker 4>Yeah. So when you look at during the year, if

2:07:22.120 --> 2:07:27.440
<v Speaker 4>you look at the number of visits per day, you

2:07:27.440 --> 2:07:31.040
<v Speaker 4>will see that they are visiting more during the rut.

2:07:31.680 --> 2:07:33.680
<v Speaker 4>So you think about how we analyze the data, it's

2:07:33.720 --> 2:07:35.920
<v Speaker 4>just ding, did he visit the plot or not? Yes,

2:07:36.000 --> 2:07:39.800
<v Speaker 4>and you tally those up. So they're visiting those food

2:07:39.840 --> 2:07:43.640
<v Speaker 4>plots more during the day. So some of that is food,

2:07:44.200 --> 2:07:47.800
<v Speaker 4>some of it is also socially. I mean they're cruising

2:07:47.480 --> 2:07:50.960
<v Speaker 4>looking for dose. When you get to the end of

2:07:51.040 --> 2:07:54.080
<v Speaker 4>the year, during the post rut, they will have just

2:07:54.120 --> 2:07:59.000
<v Speaker 4>as many or less visits, but their duration is longer.

2:07:59.520 --> 2:08:02.960
<v Speaker 4>So now they are visiting for the purpose of forage

2:08:03.480 --> 2:08:05.640
<v Speaker 4>and not socially looking for a female.

2:08:05.760 --> 2:08:10.880
<v Speaker 1>Yep, cow man. No, it's a lot of great information.

2:08:13.840 --> 2:08:16.200
<v Speaker 1>I got such a good study. I had to say

2:08:16.960 --> 2:08:17.960
<v Speaker 1>so hard to explain.

2:08:19.360 --> 2:08:22.000
<v Speaker 2>I'm like a post book right now, and all I

2:08:22.000 --> 2:08:23.760
<v Speaker 2>can think about is some food. And we got to

2:08:23.800 --> 2:08:25.440
<v Speaker 2>do this trivia in like thirty minutes.

2:08:26.200 --> 2:08:27.680
<v Speaker 3>Dude, thanks for coming on and wrap it up.

2:08:27.760 --> 2:08:32.920
<v Speaker 1>Yeah, man, I love your the extension, like, tell people

2:08:33.000 --> 2:08:34.920
<v Speaker 1>go how to go find your work and to see exauce.

2:08:34.960 --> 2:08:37.120
<v Speaker 1>I mean, you got you have your academic publications, but

2:08:37.120 --> 2:08:39.960
<v Speaker 1>you're also producing stuff for just guys like us. Yeah,

2:08:40.000 --> 2:08:42.000
<v Speaker 1>so tell people how to go, how to go kind

2:08:42.000 --> 2:08:45.000
<v Speaker 1>of find some of your infographics.

2:08:44.000 --> 2:08:48.360
<v Speaker 4>And yeah, a couple places so you can go to

2:08:48.400 --> 2:08:51.760
<v Speaker 4>the Msudar lab dot com. That's our website that has

2:08:51.880 --> 2:08:55.200
<v Speaker 4>all of these publications on there. We also do a

2:08:55.200 --> 2:08:58.960
<v Speaker 4>lot of this on social media, so we're on Facebook, Instagram,

2:08:59.320 --> 2:09:01.720
<v Speaker 4>we have a YouTube channel with a lot of different videos,

2:09:01.800 --> 2:09:04.960
<v Speaker 4>podcasts where we talk about this type of stuff. Podcast

2:09:05.080 --> 2:09:10.920
<v Speaker 4>is Deer University, so MSU Deer Lab, the website, social media,

2:09:11.600 --> 2:09:14.000
<v Speaker 4>uh YouTube. You ought to be able to get us.

2:09:14.560 --> 2:09:18.160
<v Speaker 4>If it's on the private side outside of the university.

2:09:18.240 --> 2:09:21.040
<v Speaker 4>If you're looking for help with land management, go to

2:09:21.080 --> 2:09:24.560
<v Speaker 4>Wildlife Investments dot com and there's a lot of us there.

2:09:24.560 --> 2:09:28.160
<v Speaker 4>A little company consulting work that's for consulting work.

2:09:28.200 --> 2:09:31.920
<v Speaker 1>Yeah, that's great, man. And on that consulting work you

2:09:32.000 --> 2:09:34.919
<v Speaker 1>kind of you probably do. You go survey the property,

2:09:35.000 --> 2:09:36.720
<v Speaker 1>talk about what's going on, what could be better?

2:09:37.000 --> 2:09:43.920
<v Speaker 4>Right, what strategies, habitat habitat management, deer ducks, turkey, quail,

2:09:44.240 --> 2:09:47.040
<v Speaker 4>whatever you want with wildlife management. All right, we've got

2:09:47.080 --> 2:09:47.760
<v Speaker 4>an expert.

2:09:47.560 --> 2:09:54.200
<v Speaker 1>To help you. Right again, doctor Bronson Strickland from University

2:09:54.200 --> 2:09:55.560
<v Speaker 1>of Mississippi.

2:09:56.880 --> 2:09:58.680
<v Speaker 4>Hale State, Mississippi State.

2:09:58.560 --> 2:10:01.960
<v Speaker 1>University, Mississippi State University. We have that same problem in

2:10:02.000 --> 2:10:03.680
<v Speaker 1>Michigan because we've got U of M and M s

2:10:03.760 --> 2:10:04.760
<v Speaker 1>U well.

2:10:08.760 --> 2:10:13.440
<v Speaker 2>With the M specific with them specifically specifically.

2:10:13.600 --> 2:10:17.520
<v Speaker 1>And then the the extension material is like the extension

2:10:17.880 --> 2:10:20.000
<v Speaker 1>piece I was talking about that shows like that kind

2:10:20.000 --> 2:10:23.920
<v Speaker 1>of puts your study on the lunar stuff. That's that's uh,

2:10:24.160 --> 2:10:30.280
<v Speaker 1>that's a Michigan State University Extension pieced a Mississippi State

2:10:30.360 --> 2:10:35.560
<v Speaker 1>University Extension piece that puts down it's a great graphic

2:10:36.040 --> 2:10:41.640
<v Speaker 1>because it puts down what people think, the idiosyncrasies of

2:10:41.640 --> 2:10:46.000
<v Speaker 1>what people think, what's found, and then it puts it

2:10:46.040 --> 2:10:49.600
<v Speaker 1>into all these like percentages, and then whatever kind of

2:10:49.640 --> 2:10:53.240
<v Speaker 1>guy you are, moon underfoot, moon overhead, full moon rising,

2:10:53.400 --> 2:10:57.240
<v Speaker 1>full moon setting, you can go and track every possible

2:10:57.360 --> 2:10:58.959
<v Speaker 1>variation and find out.

2:11:01.040 --> 2:11:04.760
<v Speaker 3>Yards per hour all that, and you can go put

2:11:04.760 --> 2:11:06.400
<v Speaker 3>your mind at ease about what's going on.

2:11:06.560 --> 2:11:09.360
<v Speaker 1>That's right. I mean, it's very It is a when

2:11:09.400 --> 2:11:11.960
<v Speaker 1>you look through it. I spent thirty minutes staring at

2:11:11.960 --> 2:11:17.000
<v Speaker 1>it today. It is a very convincing portrayal of like

2:11:17.520 --> 2:11:19.080
<v Speaker 1>looking at something quite thoroughly.

2:11:19.280 --> 2:11:19.760
<v Speaker 6>Yeah.

2:11:19.840 --> 2:11:21.080
<v Speaker 1>Yeah, it's a great piece.

2:11:21.200 --> 2:11:21.880
<v Speaker 4>Appreciate that.

2:11:21.920 --> 2:11:22.160
<v Speaker 1>Thank you.

2:11:22.240 --> 2:11:25.160
<v Speaker 3>In poster form, it would take up a lot of walls.

2:11:24.880 --> 2:11:26.760
<v Speaker 4>It sure would, it sure would.

2:11:27.080 --> 2:11:30.640
<v Speaker 1>Yeah, but you might think about a small poster. We will, yeah,

2:11:30.920 --> 2:11:33.120
<v Speaker 1>with the real salient points in it next time.

2:11:33.280 --> 2:11:35.600
<v Speaker 3>Okay, thank you very much for coming on.

2:11:36.840 --> 2:11:39.200
<v Speaker 1>We're all going to be, if not better deer hunters, better,

2:11:39.240 --> 2:11:41.200
<v Speaker 1>Dear observers now, thank

2:11:41.240 --> 2:11:42.560
<v Speaker 2>You, thanks Ronson,