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Speaker 1: This is the Meat Eater Podcast, coming at you shirtless, severely,

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Speaker 1: bug bitten, and in my case, underwear listening podcast. You

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Speaker 1: can't predict anything. The Meat Eater Podcast is brought to

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Speaker 1: you by First Light. Whether you're checking trail cams, hanging

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Speaker 1: deer stands, or scouting for ELK, First Light has performance

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Speaker 1: apparel to support every hunter in every environment. Check it

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Speaker 1: out at first light dot com. F I R S

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Speaker 1: T L I t E dot com. Welcome everybody. Joined

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Speaker 1: today by two super special guests. We got Lake, well three.

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Speaker 1: It's not like it's like we're just it's like Seth,

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Speaker 1: we're just regular.

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Speaker 2: They're here again.

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Speaker 1: Seth just hanging out. No one knows what he's doing.

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Speaker 2: I don't even know what I'm doing.

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Speaker 1: Join today by three very special guests. Lake Pickle, the

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Speaker 1: most memorable name in America. I was at the I'm

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Speaker 1: gonna get to the r two guests. But when I

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Speaker 1: was at this big commencement or like a graduation ceremony

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Speaker 1: last weekend, Yeah, I could tell you why.

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Speaker 3: And they're like giving everybody's name.

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Speaker 4: You know, they're a doctor in the house.

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Speaker 3: They're getting everybody's name.

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Speaker 1: And a guy comes up who had I believe changed

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Speaker 1: his last name to Extravaganza. I was expecting like a

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Speaker 1: professional wrestler to come across the stage. I was just

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Speaker 1: a regular dude. Yeah. I was like, oh wow, wrestlers here?

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Speaker 2: That is that speech? Was that filmed?

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Speaker 1: Yeah?

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Speaker 2: Is it somewhere? I tried looking for it.

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Speaker 1: Kylie has it?

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Speaker 2: I was I was turkey hunting, so I couldn't make it.

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Speaker 1: But Kyles where.

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Speaker 5: I think it's going to be put up as a

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Speaker 5: social post or a YouTube.

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Speaker 2: Yeah, I want to say it.

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Speaker 1: It's called there is No Plan b mm hmmm.

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Speaker 2: I like that. I think I've heard that before from

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Speaker 2: you Lake Pickle.

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Speaker 1: The most memorable name in America, the hardest name in America,

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Speaker 1: which is Caitlyn los Banoso, which one can see why

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Speaker 1: she just calls herself old traffic Kate. Is am I

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Speaker 1: saying it right? Los Banosa lo Spinosa. Her handle on

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Speaker 1: one of my like a thing I love looking in

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Speaker 1: on is her hand on Instagram is old trapper Kate.

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Speaker 1: It's all about trapping and other kind of outdoors adventures,

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Speaker 1: which I appreciate. So she's here today, Maggie Huddler's here today,

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Speaker 1: journalist extraordinary. What are you working on right now is

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Speaker 1: the most exciting thing.

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Speaker 6: Most exciting thing. We've been having dog weeks. I've been

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Speaker 6: writing dog stuff, which is fun because I love my dogs.

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Speaker 6: And I just got into training a bird dog. So

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Speaker 6: I've got a year and a half old.

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Speaker 7: Pup, Bill.

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Speaker 3: What kind of kind is it?

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Speaker 7: He's a Lab German wire hair pointer mix.

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Speaker 3: Is that intention or did you get like a like

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Speaker 3: a pound?

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Speaker 4: Yeah?

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Speaker 7: So I really like mutts. We'll talk about this later.

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Speaker 6: I just wrote an article about why maybe you should

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Speaker 6: consider a mutt to be your next hunting dog. And uh,

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Speaker 6: we got sick wading through the muck and fallen through

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Speaker 6: the ice to go after our ducks, and we're like,

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Speaker 6: all right, we can get one more dog. We started

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Speaker 6: looking and somebody had wire hair lab pups and we're like, well, shit,

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Speaker 6: I guess.

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Speaker 4: We're getting a dog.

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Speaker 1: That's interesting man.

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Speaker 8: Yeah.

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Speaker 6: The guy he had a bunch of bird dogs. He

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Speaker 6: had labs and wire hairs and he was like, yeah,

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Speaker 6: I was always interested to see what they would end

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Speaker 6: up like mixed. And he's a good dog. He's huge,

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Speaker 6: he's a big boy. Uh, he's kind of goofy lake saw.

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Speaker 9: That's the funniest thing. I've seen all week.

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Speaker 6: Lake saw him run full speed into a glass door

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Speaker 6: the other day, running dog. He's just dog. He's a

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Speaker 6: little disgruntled. The glass in our house isn't that clean.

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Speaker 9: I guess that dog was so embarrassed.

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Speaker 1: Shame, man, I've been meaning to spend a long time

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Speaker 1: kind of explaining my buddy Doug Darren's new lab. But

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Speaker 1: it's just.

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Speaker 6: Too Mark dog, Yeah, what do you like?

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Speaker 4: Mark?

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Speaker 7: Do you not like?

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Speaker 1: Listen? Man, I think that that dog can't see it.

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Speaker 1: Dog can't see it. But I think that dog got

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Speaker 1: hit on the head. I have never seen a dog

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Speaker 1: that's so not aware of how dogs are supposed to be,

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Speaker 1: like any normal Like I've been around fifty years old. Man,

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Speaker 1: I'm looking at dogs my whole life. We said, have

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Speaker 1: all kinds of dogs. When I was a kid.

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Speaker 3: This dog.

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Speaker 1: There's like certain things in the dog playbook, right, Like

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Speaker 1: if you're driving all around out in the woods and

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Speaker 1: a dog is in like a can am. You're driving

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Speaker 1: all around and you get to an interesting spot, everybody

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Speaker 1: jumps out. Kids are like catching crappies. Whatever. He's like,

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Speaker 1: he doesn't get.

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Speaker 2: Out, do you know what I mean?

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Speaker 1: Like any dog in the world would be like, well, dude,

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Speaker 1: I'm gonna get out, yeah and see what everybody's doing.

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Speaker 1: He goes into a house, he doesn't go check what's

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Speaker 1: going on around.

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Speaker 2: Interesting, it might be a good thing.

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Speaker 7: He just kind of chills out.

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Speaker 1: Yeah, Doug can't. Doug's like. Doug's like if you said

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Speaker 1: to someone, if someone had a baby and you said, man,

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Speaker 1: I don't know the baby's not right, They're not gonna

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Speaker 1: take that. Well, do you know what I'm saying?

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Speaker 4: Do you know what I'm saying? Getting hurt?

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Speaker 8: So if he's like if the thing is sitting in

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Speaker 8: the side by side and he's like, come on.

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Speaker 1: You got well keep and Doug won't. Doug won't pull

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Speaker 1: it out. I'll pull it out. I'll grab it, I

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Speaker 1: can't handle it, grab by the collar and pull it out.

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Speaker 1: Doug will come in the house. So there'll be a

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Speaker 1: household of people. Doug will pull up, Doug come in

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Speaker 1: the house, He leaves the door open, and you twenty

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Speaker 1: minutes later, a dog's sitting in there. It's like, it's

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Speaker 1: like amazing, it's one of the few dogs you could

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Speaker 1: put it and just it'll be there when you come back.

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Speaker 4: Well, it's handy.

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Speaker 8: In some situations, they'd be like one of those dogs

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Speaker 8: you see in Montana's just on the flatbed.

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Speaker 2: Yeah, you like go into a bar or whatever and

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Speaker 2: like the dogs just out on the flatbed.

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Speaker 9: No, this is different, thing different, This is different.

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Speaker 2: That's just different obedience.

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Speaker 1: I know this is not not obedience because I forgot

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Speaker 1: to mention Doug is imploring the dog to come out.

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Speaker 5: Oh yeah, yeah, it's gone just like comfort.

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Speaker 4: Maybe he's gonna be tested.

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Speaker 1: I'm saying this man, because like if I just if you,

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Speaker 1: you know, if you disagree with Doug on something like

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Speaker 1: CWD or something, He's gonna write you a mean ass email.

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Speaker 3: So I can only imagine what he's thinking right now.

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Speaker 4: He hacking on his dog in salt a man's dog

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Speaker 4: fight words.

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Speaker 6: You know, you know, my old dog, Shooter made me

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Speaker 6: believe in reincarnation because, for one, I'm pretty sure this

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Speaker 6: dog smoked way too many Marlboro Reds in his past life.

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Speaker 6: He like he's got a real smoker tack and the

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Speaker 6: vets are like nothing's wrong with him. He also has

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Speaker 6: favorite songs. He loves the band Cripple Creek. He just

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Speaker 6: perks right up to that and just yowls.

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Speaker 4: Amazing.

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Speaker 3: You should introduce him to this dog Mark.

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Speaker 6: So so my theory from what I've heard on Mark

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Speaker 6: is maybe Mark was like a big fat dude that

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Speaker 6: just likes to ride around in can ams and like

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Speaker 6: could drink a beer and just sit in the truck. Yeah,

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Speaker 6: you know, you never know what a dog's ass like.

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Speaker 1: No, they might get a nice email from Doug. He's gonna,

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Speaker 1: he's gonna. They're talking about incarnation, but this is gonna

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Speaker 1: He's this is gonna speak to Doug. This is gonna

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Speaker 1: speak Doug.

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Speaker 3: Lake.

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Speaker 1: I forgot to mention besides having a very memorable name,

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Speaker 1: Lake is an avid at doorsman. Used to used to

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Speaker 1: be tangled up in the old days Will Primos, which

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Speaker 1: is super cool.

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Speaker 9: Yeah, I was for about a decade man, and I

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Speaker 9: love that guy.

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Speaker 2: Oh man, he's great.

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Speaker 9: He was like the way I explained to folks, like

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Speaker 9: when I grew up in my house, you watched the

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Speaker 9: Andy Griffith Show and Primos VHS tapes. That's just what

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Speaker 9: you watched. Like he was especially like living in Mississippi. Yeah,

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Speaker 9: and you've been around Will. Like if he heard me

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Speaker 9: talking about him like this, he would dismiss it. Because

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Speaker 9: he's a pretty down earth dude. But yeah, uh, and

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Speaker 9: it's it's funny talking about my name. Like part of

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Speaker 9: the reason I ended up getting tangled up with Will

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Speaker 9: just a little stuff that happened before. But I saw

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Speaker 9: Brad Ferriss at a local sporting show at home and

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Speaker 9: I'd never met him in person, but i'd been emailing

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Speaker 9: him trying to get a.

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Speaker 1: Job, and he remembered your name.

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Speaker 9: One thing I've always had going for me. Someone might

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Speaker 9: forget everything else about me, but they remember the name.

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Speaker 9: So I go up to him and said, Hey, I'm

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Speaker 9: Lake Pickle. You're like, you're that kid that's been emailing

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Speaker 9: me about video and I was like yeah, And I

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Speaker 9: didn't know it at the time, but like the week

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Speaker 9: before they had some guys leave the video department.

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Speaker 1: Huh.

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Speaker 9: So two days later, at my phone rings and it's

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Speaker 9: Brad and he's like, hey, man, would you consider taking

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Speaker 9: a semester off school because I got to film my

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Speaker 9: ELK cut in like two weeks. I was like, yep,

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Speaker 9: I'm gonna do that and.

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Speaker 1: Dropped out of school.

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Speaker 9: So the funny thing is, yeah, I went to the

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Speaker 9: Primo's office. I'd never met Will in person, and they

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Speaker 9: were interviewing me and Will comes in and he says,

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Speaker 9: I'm not going to hire you if you don't promise

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Speaker 9: me that you'll finish your education. So yeah, I was

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Speaker 9: in school for wildlife science and that kind of stuff.

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Speaker 9: But yeah, that's how it all started. But it all

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Speaker 9: hinged on Brad being like, oh, yeah, you're the kid

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Speaker 9: because he my name's so odd.

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Speaker 1: He remembered it. That's great. Yeah, so you did wildlife.

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Speaker 1: Still in the wildlife business. June ninth, you will find

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Speaker 1: Lake Pickle on the Bear Grease podcast feed where the

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Speaker 1: new show we're doing called Backwoods University, and we'll talk

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Speaker 1: a little bit about that.

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Speaker 3: We talked about old traffick Kate. We're gonna jump ahead.

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Speaker 1: To the news, then we're gonna come back around Krim's

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Speaker 1: got it's all asked up.

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Speaker 5: Oh sorry, no, no, no, I didn't get to talk to

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Speaker 5: you about this. I wondered if we would change the

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Speaker 5: order of things this time. But maybe that's all okay,

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Speaker 5: So that part wasn't.

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Speaker 1: Asking No, don't have to remember none, just getting rid

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Speaker 1: of it.

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Speaker 3: I can see just not having any news ever.

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Speaker 5: Yep, that that's possible.

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Speaker 1: But then how would I find out about the news.

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Speaker 2: The website.

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Speaker 1: We should have a I wish we could do one

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Speaker 1: of those polls, like should we not have any news

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Speaker 1: and then do a vote.

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Speaker 7: Oh, we could make something like that.

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Speaker 4: Oh can you do that?

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Speaker 6: They could do it on a newsletter, we could do

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Speaker 6: it on Instagram.

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Speaker 1: It'd be like should the Meat Eater podcast have or

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Speaker 1: not have listener feedback and news? Yeah?

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Speaker 5: I think they'd be sad about not having listener feedback

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Speaker 5: because then we wouldn't have like stories and jokes that

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Speaker 5: carry on for a few episodes. But what do I know?

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Speaker 5: I just think we should separate it, like news is

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Speaker 5: separate from that.

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Speaker 1: I don't think, well, the problem with the news program

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Speaker 1: here is that we have the same news article we

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Speaker 1: had before. In the news we already covered the guy

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Speaker 1: that killed the that's in trouble for hunting the cemetery.

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Speaker 1: I have additional thoughts.

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Speaker 2: Doug might like, if you got rid of the news, then.

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Speaker 1: Get mad.

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Speaker 2: Dog.

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Speaker 3: Had the main interview be about his dog.

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Speaker 5: Updates, we wouldn't touch on c w D as much

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Speaker 5: as we do.

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Speaker 1: Know it saved me a lot of dogs ire, But

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Speaker 1: then how would we goofind his dog Unless we like

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Speaker 1: focus we had a dog psychologist in to goof on

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Speaker 1: dog's dog.

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Speaker 5: We should get dog psychologists.

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Speaker 1: So the guy some merging details, are you are you

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Speaker 1: going to follow this? Because I'm just interested in this

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Speaker 1: turkey deal. What I had explained before is like I

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Speaker 1: feel it's between the guy and the people that are

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Speaker 1: dead in the cemetery.

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Speaker 7: Largely they don't have much to say.

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Speaker 1: I was buried in a cemetery and I knew someone

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Speaker 1: was turkey hunting the cemetery, I would be glad. But

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Speaker 1: then I learned while he was hunting there there were

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Speaker 1: visitors in the cemetery, which tips right, Like at a

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Speaker 1: point you have to, like you gotta when you're sitting

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Speaker 1: there at night, being like, man, I really want to

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Speaker 1: hunt the cemetery, and you think to yourself, with the

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Speaker 1: people in there, you know, with the souls in there,

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Speaker 1: how would they feel about it? And that's kind of regional.

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Speaker 1: And then there's how would the people those people? Because

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Speaker 1: if I was visiting a cemetery and I see a

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Speaker 1: guy hunting turkeys, I'm gonna be jealous. And what do

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Speaker 1: jealous people do? They lash out, Yeah, and they don't

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Speaker 1: lash out about being jealous. They think of another thing,

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Speaker 1: and then they're going to lash out about public safe.

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Speaker 1: But the biggest question I have is was he bushwhacking

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Speaker 1: them because he got dropped off by a late model

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Speaker 1: black full sized pickup. So did he get dropped off

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Speaker 1: to the call or did he get dropped off to bushwhack?

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Speaker 3: And did he use tombstones like how you might use

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Speaker 3: round bails.

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Speaker 4: Something you almost can't be mad about it.

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Speaker 9: I want to know the nature of the visitors, like

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Speaker 9: was someone getting actively getting buried.

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Speaker 4: Like a fresh burial, or was this like a year

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Speaker 4: anniversary thing we scout.

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Speaker 3: Maybe they're a turkey scout.

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Speaker 1: Maybe they have none Mother's Day?

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Speaker 2: Is this like a private cemetery?

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Speaker 3: Doesn't say, but it says you're not allowed to hunt cemeteries.

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Speaker 2: Hm mm hmm.

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Speaker 4: I said one in public. I'm assuming like.

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Speaker 3: Through a cemetery and jumped the fence to get down

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Speaker 3: to a creek.

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Speaker 2: I used to stand next to a turkey and or

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Speaker 2: stand next to a cemetery and listen for turkeys all

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Speaker 2: the time.

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Speaker 4: There you go.

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Speaker 1: Well, Lake was saying, if you see an old church

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Speaker 1: or a cemetery, there's a turkey around.

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Speaker 9: That's a rule to be like abandoned no, I mean,

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Speaker 9: it is a rule of thumb that I'm telling you

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Speaker 9: we live and die by. Like if it's an old

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Speaker 9: church or a cemetery there is a turkey around there,

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Speaker 9: I've never seen it not be true.

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Speaker 1: Yeah, you know I can see that. Man, the cemetery

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Speaker 1: I want to get buried in. I think that that's

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Speaker 1: probably true of that. M m. Yeah, we staunt squirrels

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Speaker 1: back there. But I was pre turkey, Like there weren't

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Speaker 1: turkeys when I was growing up with the turkeys.

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Speaker 9: Now, you know, Yeah, there's a there's a place where

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Speaker 9: my grandma and grand grandma and grandpa got buried, and

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Speaker 9: I got permission to hunt the land right behind it

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Speaker 9: from them. Yeah they I know it. Yeah, but that

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Speaker 9: was the first time it happened to me. Like I

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Speaker 9: pulled up to the cemetery like I was going to

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Speaker 9: visit their grave, and like as I pull up, there's

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Speaker 9: a turkey goblin right behind it. I was like, I

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Speaker 9: got to see if I can get access to that.

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Speaker 4: There's a hot tip off you start asking for permission

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Speaker 4: post mortem, yep.

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Speaker 1: Yeah. I talked to them, I know, and be like, hey,

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Speaker 1: you know, I know, like you're not feeling well.

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Speaker 9: Listen.

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Speaker 4: It's a crying shame what happened.

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Speaker 1: But oh, I could picture dudes now just sitting there

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Speaker 1: like trying to like make fake tears and stuff, just

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Speaker 1: listening for dobbs, trying to be like their morning. This

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Speaker 1: happened on what How the guy got in trouble is

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Speaker 1: somehow he hits the bird, you know, like the saying

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Speaker 1: you can't stop the flop, but he desirous to stop

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Speaker 1: the flop, tackles it and thereby gets himself on camera.

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Speaker 1: People claim he's wrastling it, but it would have been

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Speaker 1: more accurate if journalists had explained that he was trying

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Speaker 1: to stop the flop, which you can't do well, you can't.

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Speaker 2: Was it like a bad shot and it was kind

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Speaker 2: of getting away a bit.

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Speaker 4: Or I think he was trying to it was just

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Speaker 4: like the classics sprint out to it.

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Speaker 1: And I don't know.

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Speaker 3: My guess is he was.

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Speaker 1: It was raising a ruckus, as they do, and he

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Speaker 1: was trying to stop the flop. And people think he

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Speaker 1: was trying to wrestle it because there's like visitors, he already.

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Speaker 4: Trying to be incognito right launching on the turkey.

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Speaker 9: And when they go to flopping it is. I mean

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Speaker 9: it's a loud.

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Speaker 4: Not as loud as the shotgun blast.

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Speaker 9: Was the shotgun Do we know.

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Speaker 4: This doesn't seem like an archery kind of deal that

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Speaker 4: I could be wrong.

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Speaker 1: Anyone with information on this incident, this is serious, please

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Speaker 1: contact New Hampshire's Fishing Game Department.

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Speaker 3: This is also make an anonymous tip and.

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Speaker 6: Just another one of those things where like this guy

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Speaker 6: chise to post this video what it's always.

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Speaker 1: Interesting he didn't.

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Speaker 5: He posted on don't understand is that there was like

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Speaker 5: there was a hunter at the cemetery, someone who self

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Speaker 5: identifies as a hunter. Okay, because this according to New

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Speaker 5: Hampshire Game and Fish, around ten am on that Sunday,

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Speaker 5: a hunter observed a male in camouflage apparel shoot a

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Speaker 5: turkey in this mitary on close road. The poacher was

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Speaker 5: dropped off by a late model black full.

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Speaker 7: Size so that guy was looking for turkeys in the cemetery.

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Speaker 4: He was jealousy, jealousy.

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Speaker 3: All I think we need to get all.

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Speaker 1: If Krinn was like a good producer right now, we'd

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Speaker 1: have the hunter, we'd have the witness, and we'd have

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Speaker 1: the family of who was in the closest grave we'd

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Speaker 1: have descendence.

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Speaker 5: I can't believe I didn't think of that about it.

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Speaker 4: We'd have the casket that he is standing over.

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Speaker 1: Here's the interesting This guy's got interesting problem. There's a

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Speaker 1: guy that's saying that, for whatever reason, he's a he's

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Speaker 1: a magnet for poachers to come confess to him.

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Speaker 4: Interesting.

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Speaker 1: I just think that's being alive, Like that's not unusual,

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Speaker 1: Like I confess old poaching stuff every time I'm talking

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Speaker 1: to anybody. Really, when we little kids, like we didn't

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Speaker 1: it wasn't It's just hard to explain you didn't know.

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Speaker 2: He just did stuff you didn't know.

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Speaker 5: Do people go and do you get a lot of confessions?

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Speaker 1: Yes, because Okay, when I started deer hunting, I wasn't

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Speaker 1: old enough to hunt deer. When I killed my first year,

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Speaker 1: I wasn't old enough. My mom came and put her

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Speaker 1: tag on it. It was but it was like you

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Speaker 1: would have told anybody here, but it was like there

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Speaker 1: was no there was z.

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Speaker 3: It was just like I can't explain.

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Speaker 5: Some of the examples he uses, though, I'm not. I'm

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Speaker 5: not sure that these are people just talking about stuff

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Speaker 5: that they did a really long time ago. I'm just

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Speaker 5: looking at one of the examples he cites and it's

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Speaker 5: almost like someone.

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Speaker 3: Let me make me feel hit hit the examples. But

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Speaker 3: I want to make one more point.

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Speaker 1: You know how been hip to that Veterans Institute? They

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Speaker 1: played the interviews with the World War Two veterans guys

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Speaker 1: are in their eighties and nineties. It's the best thing

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Speaker 1: on YouTube.

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Speaker 3: Well, I like World's Greatest Hockey Goals.

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Speaker 1: In slow motion, but look in that next to the

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Speaker 1: World's Greatest Hockey goals in slow motion.

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Speaker 3: The American Veterans.

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Speaker 1: Institute did this, has this huge series of interviews with

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Speaker 1: World War Two guys in their eighties and nineties. They're

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Speaker 1: down watching I think I talked about this. I'm watching

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Speaker 1: two of these guys together and they're talking about they

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Speaker 1: would just kill SS. They would line them up and

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Speaker 1: shoot them. And he said, we weren't supposed to talk

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Speaker 1: about it was a long time ago. And he's like,

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Speaker 1: we were told to do that, right, So you get

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Speaker 1: a lot of like I will because we grew up violating.

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Speaker 1: But it wasn't like it just it's so hard to explain.

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Speaker 4: Man past the statute of limitations. It's like a common

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Speaker 4: ground kind of thing in the hunting community when I

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Speaker 4: was growing up.

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Speaker 2: The same for you. You just you didn't even know

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Speaker 2: it was illegal.

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Speaker 4: I didn't even know of the like you didn't know

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Speaker 4: the ration, the severity or the implication anything like something serious.

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Speaker 8: When I first got on ex I went and looked

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Speaker 8: at all the old places where I used to hunt,

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Speaker 8: and it's all it's all private.

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Speaker 2: It's like I thought this was you thought it was

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Speaker 2: public land.

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Speaker 1: I remember like like just being young, you know, like

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Speaker 1: teens and hunting wood ducks on the roost and it

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Speaker 1: looking like a Fourth of July display by the time

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Speaker 1: the wood ducks would come into that root, and you

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Speaker 1: were sort of like you It's just like, but that's

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Speaker 1: what all the guys like, the old like your mentors,

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Speaker 1: you know what I mean.

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Speaker 4: It was just you were so well, yeah, because the

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Speaker 4: the farther you go back in the timeline hunting, the

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Speaker 4: like the.

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Speaker 9: Gray or all gets yep.

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Speaker 6: Yeah.

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Speaker 1: Another thing that was just like just another confession here

437
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Speaker 1: I'm doing all these confessionals. There's another thing leading up

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Speaker 1: to the large mouth bass opener. You would put your

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Speaker 1: live well out on the end of your dock and

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Speaker 1: you would detain them. Oh no to then flay them

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Speaker 1: on the opener. But it was like this is like

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Speaker 1: you were like shit, nodality body.

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Speaker 4: Yeah, it was just like this is what we did.

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Speaker 1: Walk down the damn beach holding the large mouth by

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Speaker 1: the bottom lip and throw it in the live well.

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00:22:32,240 --> 00:22:34,040
Speaker 1: And like your parents, like our parents, you know what

447
00:22:34,040 --> 00:22:38,080
Speaker 1: I mean, people weren't like, don't. It's so hard to explain, man,

448
00:22:38,160 --> 00:22:41,919
Speaker 1: it's so hard to explain the Then only later did

449
00:22:41,960 --> 00:22:45,119
Speaker 1: I start to put it all together. Yeah, and then

450
00:22:45,160 --> 00:22:48,800
Speaker 1: you get like in your twenties and you start whatever,

451
00:22:48,920 --> 00:22:53,240
Speaker 1: meeting people reading reading San County Almanac, which like you

452
00:22:53,280 --> 00:22:55,640
Speaker 1: start putting it all together, and you're like, oh man,

453
00:22:55,680 --> 00:22:58,879
Speaker 1: that's like not like if everybody ran around doing that

454
00:22:59,160 --> 00:23:01,920
Speaker 1: with that level of like passion.

455
00:23:02,080 --> 00:23:04,280
Speaker 4: Yeah, you end up with the early nineteen hundreds.

456
00:23:04,440 --> 00:23:07,000
Speaker 1: Yeah, it's been disasters, but it was just like you

457
00:23:07,040 --> 00:23:10,080
Speaker 1: weren't none of this, Like I never, no one ever

458
00:23:10,320 --> 00:23:12,360
Speaker 1: ever said the word conservation when I was a kid.

459
00:23:13,160 --> 00:23:20,640
Speaker 5: Yep, well look at the examples. Okay, he says poachers

460
00:23:20,640 --> 00:23:24,359
Speaker 5: apparently see my BHA and mediator merchant think quote. And

461
00:23:24,400 --> 00:23:26,679
Speaker 5: this is these quotes are so specific, so you know

462
00:23:26,800 --> 00:23:29,320
Speaker 5: someone told him this quote. I'm going to tell this

463
00:23:29,320 --> 00:23:32,800
Speaker 5: guy about unlice this night hunting in a day hunting

464
00:23:32,880 --> 00:23:35,159
Speaker 5: only state for game that's out of season and I

465
00:23:35,200 --> 00:23:39,160
Speaker 5: don't have a tag anyway, or quote, let me tell

466
00:23:39,240 --> 00:23:41,439
Speaker 5: you how I pulled a fast one by hunting against

467
00:23:41,440 --> 00:23:44,159
Speaker 5: regulations on a military base and got away with the

468
00:23:44,200 --> 00:23:47,359
Speaker 5: trespassing citation instead of any real consequences. Haha.

469
00:23:48,000 --> 00:23:49,560
Speaker 1: You know what they're trying to do. They're trying to

470
00:23:49,560 --> 00:23:54,520
Speaker 1: get on Clay's Bear Grease podcasts that might actually be true,

471
00:23:55,720 --> 00:23:59,560
Speaker 1: but they don't realize that they have to have redemption. Yeah,

472
00:23:59,720 --> 00:24:02,280
Speaker 1: when I was fifteen, Clay wouldn't have had me on.

473
00:24:03,560 --> 00:24:04,960
Speaker 1: He would have had to wait till I was later

474
00:24:05,000 --> 00:24:07,760
Speaker 1: had an epiphany and we would have stopped like our

475
00:24:07,880 --> 00:24:09,040
Speaker 1: casual violating.

476
00:24:10,560 --> 00:24:12,920
Speaker 5: Well, I mean, this guy is just wondering, like what

477
00:24:13,119 --> 00:24:14,160
Speaker 5: would you all do?

478
00:24:14,400 --> 00:24:14,880
Speaker 4: Would you?

479
00:24:15,000 --> 00:24:21,000
Speaker 5: He tries to educate and you know, these are instances

480
00:24:21,040 --> 00:24:23,199
Speaker 5: that had happened in the past, and he said that

481
00:24:23,240 --> 00:24:26,879
Speaker 5: in case he sniffed that there was any sense of

482
00:24:26,920 --> 00:24:32,000
Speaker 5: a crime being about to be committed, he would say something.

483
00:24:32,160 --> 00:24:35,560
Speaker 5: But I got another confession asking for advice.

484
00:24:36,359 --> 00:24:40,159
Speaker 2: Is this what this podcast?

485
00:24:40,640 --> 00:24:42,520
Speaker 1: It's like, I'm just the more I think about the more.

486
00:24:42,560 --> 00:24:44,439
Speaker 1: I'm interested in what are like. I want to go

487
00:24:44,520 --> 00:24:49,320
Speaker 1: back and interview our young younger selves. So high school, okay,

488
00:24:49,600 --> 00:24:53,840
Speaker 1: like just just give you. For instance, high school with

489
00:24:53,880 --> 00:24:59,119
Speaker 1: my late friend Eric Kern, smelt dipping for whatever reason,

490
00:25:00,200 --> 00:25:01,960
Speaker 1: like Sam would come in with the smelt during the

491
00:25:01,960 --> 00:25:05,240
Speaker 1: spring smelt run. One day, we're standing out there and

492
00:25:05,280 --> 00:25:06,879
Speaker 1: we weren't at a river mouth like you generally are

493
00:25:06,920 --> 00:25:09,600
Speaker 1: hitting smelt at the river mouths, but we were We

494
00:25:09,680 --> 00:25:12,439
Speaker 1: knew about these gravel beds that were way down on

495
00:25:12,520 --> 00:25:14,600
Speaker 1: Lake Michigan, and the smelt would come up and spawn

496
00:25:14,640 --> 00:25:17,639
Speaker 1: in these little gravel beds that weren't even in the

497
00:25:17,640 --> 00:25:20,000
Speaker 1: stream mouth. They're like an anagamous fish, but they would

498
00:25:20,000 --> 00:25:23,520
Speaker 1: sometimes spawn in the waves. And we're sitting there and

499
00:25:23,520 --> 00:25:26,960
Speaker 1: here comes with salmon chase the smelt, and Eric gets

500
00:25:27,000 --> 00:25:27,639
Speaker 1: in his dip in that.

501
00:25:29,800 --> 00:25:32,240
Speaker 3: We're old enough to know that he ought to put.

502
00:25:32,080 --> 00:25:35,720
Speaker 1: That salmon in his waiters and he puts the salmon

503
00:25:35,760 --> 00:25:39,920
Speaker 1: down the leg of his waiters to hide it, and

504
00:25:40,000 --> 00:25:42,359
Speaker 1: we like finished our smelt dipping, had a big laugh

505
00:25:42,400 --> 00:25:46,359
Speaker 1: about how slimy and his pants were, and we're like

506
00:25:46,400 --> 00:25:48,920
Speaker 1: old enough to drive, and there's no way I would

507
00:25:48,960 --> 00:25:53,000
Speaker 1: let my kid do that, I would wring his neck

508
00:25:55,000 --> 00:25:56,359
Speaker 1: just I don't know. I can't explain.

509
00:25:56,359 --> 00:25:57,320
Speaker 4: It's different times.

510
00:25:57,560 --> 00:26:01,040
Speaker 1: No guy wants to know if it's stolen valor to

511
00:26:01,080 --> 00:26:03,680
Speaker 1: put to buy taxidermy and decorate your cabin.

512
00:26:03,800 --> 00:26:07,159
Speaker 9: Yes, it's an easy.

513
00:26:06,880 --> 00:26:10,920
Speaker 1: One, hard stop unless it's like a crazy like uh,

514
00:26:11,520 --> 00:26:12,959
Speaker 1: unless it's like a specimen.

515
00:26:13,920 --> 00:26:16,719
Speaker 5: Huh, you're killing it's like a jackalope?

516
00:26:17,560 --> 00:26:17,960
Speaker 1: What's that?

517
00:26:18,040 --> 00:26:20,720
Speaker 3: What if it's like a jackalobe, that's not stolen valor.

518
00:26:22,200 --> 00:26:25,520
Speaker 1: Taxidermy? Like I think if you bought you know, if

519
00:26:25,560 --> 00:26:27,639
Speaker 1: you're like a big deer hunter, and he bought it

520
00:26:27,800 --> 00:26:30,879
Speaker 1: like a big you know, and then he kind of

521
00:26:30,920 --> 00:26:32,919
Speaker 1: got it there, and you know what it is, do

522
00:26:33,040 --> 00:26:36,480
Speaker 1: people coming in think that you got it?

523
00:26:38,320 --> 00:26:40,240
Speaker 4: If someone asked, like do you shoot that?

524
00:26:41,920 --> 00:26:44,600
Speaker 9: So a real good friend of mine, he used to

525
00:26:44,640 --> 00:26:47,960
Speaker 9: tell me how comically bad his father was at hunting.

526
00:26:48,840 --> 00:26:50,520
Speaker 9: And the first time I went to his father's house,

527
00:26:50,520 --> 00:26:52,560
Speaker 9: I walked into his living room this is a true story,

528
00:26:52,600 --> 00:26:55,320
Speaker 9: and there was like several shoulder mounted deer and then

529
00:26:55,359 --> 00:26:59,320
Speaker 9: there's a shoulder mounted elk in there. And I was like, Jordan,

530
00:26:59,760 --> 00:27:02,199
Speaker 9: you said your dad was bad at honting. He said, oh,

531
00:27:02,200 --> 00:27:03,200
Speaker 9: he didn't kill any of these.

532
00:27:05,359 --> 00:27:07,919
Speaker 1: About all of them off eBay, You know, it's deeply

533
00:27:08,040 --> 00:27:12,760
Speaker 1: nuanced because someday, like my my father's taxidermy is still

534
00:27:12,760 --> 00:27:17,360
Speaker 1: in my mother's home. Someday, haven't forbid, I will take

535
00:27:17,400 --> 00:27:20,720
Speaker 1: possession of my father's taxidermy and I will put it

536
00:27:20,760 --> 00:27:22,159
Speaker 1: somewhere that's different.

537
00:27:22,200 --> 00:27:23,520
Speaker 4: Does count? I don't think.

538
00:27:23,720 --> 00:27:26,399
Speaker 1: That's deeply nuanced. Or if you had something where you're like,

539
00:27:26,400 --> 00:27:30,359
Speaker 1: oh yeah, wyat or shot that buck, you know, or whatever,

540
00:27:30,480 --> 00:27:32,800
Speaker 1: it'd be like a specimen. But if people come in

541
00:27:32,800 --> 00:27:35,520
Speaker 1: and to go like, my god, this guy's gotten some tanks.

542
00:27:35,480 --> 00:27:36,879
Speaker 5: And then you don't say anything.

543
00:27:37,000 --> 00:27:38,919
Speaker 2: You just let that linger.

544
00:27:39,760 --> 00:27:44,639
Speaker 9: So I have a European a skullmounted elk that I

545
00:27:44,680 --> 00:27:47,560
Speaker 9: did not kill in my house. It's the first bull

546
00:27:47,600 --> 00:27:50,880
Speaker 9: that I filmed Wilbur shoot. And he asked me, he said,

547
00:27:50,880 --> 00:27:53,639
Speaker 9: do you want this help? And I was like absolutely.

548
00:27:53,680 --> 00:27:55,439
Speaker 9: But everybody that comes in the house, they're like when

549
00:27:55,440 --> 00:27:57,199
Speaker 9: I'm like, will shot that out on me?

550
00:27:57,320 --> 00:27:58,479
Speaker 4: Like make a plaque?

551
00:27:58,920 --> 00:28:02,800
Speaker 5: Yeah, but then you tell the true story.

552
00:28:03,119 --> 00:28:06,960
Speaker 1: Yeah, but Yanni's Yanni has his dad's bull moose hanging

553
00:28:07,000 --> 00:28:10,399
Speaker 1: in his living room. Yeah, totally fine. Yeah, that's not

554
00:28:10,440 --> 00:28:11,080
Speaker 1: stolen balor.

555
00:28:11,640 --> 00:28:13,280
Speaker 2: Yeah, Dirt has one of your coups.

556
00:28:13,320 --> 00:28:26,600
Speaker 10: Dear Dirt's like a special guys not stolen balor.

557
00:28:27,200 --> 00:28:28,480
Speaker 2: He was there, he filmed it.

558
00:28:29,000 --> 00:28:32,560
Speaker 4: Yeah, I think we're talking like if you go to

559
00:28:32,680 --> 00:28:35,959
Speaker 4: like some kind of thrift shop and they have someone's

560
00:28:36,119 --> 00:28:38,840
Speaker 4: random estate sale taxi you.

561
00:28:38,920 --> 00:28:40,880
Speaker 9: I don't know if you can't anymore. You could you

562
00:28:40,960 --> 00:28:43,520
Speaker 9: used to, could legitimately go on eBay and buy a tax.

563
00:28:44,400 --> 00:28:48,160
Speaker 1: Yeah, it's like it's like earlier I said yes, but

564
00:28:48,160 --> 00:28:51,000
Speaker 1: I'm realizing how complicated. It just depends on the motive

565
00:28:51,040 --> 00:28:52,960
Speaker 1: and what you're trying to get away with. If you're

566
00:28:53,000 --> 00:28:58,720
Speaker 1: trying to be like give visitors the impression it's one thing.

567
00:28:59,080 --> 00:29:02,280
Speaker 8: All right, here's the sample. If you just bought a

568
00:29:02,320 --> 00:29:07,360
Speaker 8: big mansion in Jackson, Hawaii. You went down to this

569
00:29:07,560 --> 00:29:09,800
Speaker 8: shop that has all the taxi every for sale for

570
00:29:09,960 --> 00:29:12,160
Speaker 8: thousands of dollars, and you buy a big old elkad

571
00:29:12,160 --> 00:29:15,000
Speaker 8: and put it in your big, big house that looks

572
00:29:15,160 --> 00:29:16,680
Speaker 8: at the Titans stolen.

573
00:29:16,320 --> 00:29:20,280
Speaker 4: Baller, and you bought a cowboy hat that stolen baller?

574
00:29:23,400 --> 00:29:24,160
Speaker 4: What about furs?

575
00:29:25,000 --> 00:29:25,160
Speaker 6: No?

576
00:29:25,560 --> 00:29:28,880
Speaker 1: Yeah, no, I don't think so. Showing my bias, he's

577
00:29:28,920 --> 00:29:37,840
Speaker 1: been this is different it's different. Guy has a moral bind. Well,

578
00:29:37,880 --> 00:29:40,600
Speaker 1: let me give you a good example. I got a friend,

579
00:29:40,680 --> 00:29:45,520
Speaker 1: very accomplished huner. Okay, he's got a display of every

580
00:29:46,320 --> 00:29:50,960
Speaker 1: male and female of all North American waterfowl that he got.

581
00:29:52,200 --> 00:29:52,840
Speaker 4: That's awesome.

582
00:29:53,200 --> 00:29:57,320
Speaker 1: But he also has a big collection of many fur

583
00:29:57,400 --> 00:30:02,960
Speaker 1: bears from around the continent. Up he would he will

584
00:30:03,280 --> 00:30:05,440
Speaker 1: be like, that's from so and so, that's from so

585
00:30:05,560 --> 00:30:07,640
Speaker 1: and so. He's got one. He goes, someone left this

586
00:30:07,760 --> 00:30:11,160
Speaker 1: because they knew I have a collection, and they remain anonymous.

587
00:30:11,760 --> 00:30:14,080
Speaker 1: I don't even know who gave it to me. So

588
00:30:15,560 --> 00:30:19,240
Speaker 1: it's just different. It's like it's like a educational display.

589
00:30:20,200 --> 00:30:21,959
Speaker 1: Do you follow me? Yeah, where he's like check all

590
00:30:21,960 --> 00:30:24,200
Speaker 1: this ouf But he doesn't. None of it's his stuff.

591
00:30:24,240 --> 00:30:27,320
Speaker 1: But he's he likes to yeah, you know, he grew

592
00:30:27,360 --> 00:30:29,880
Speaker 1: up trapping. He likes to have the stuff there. But

593
00:30:29,920 --> 00:30:30,920
Speaker 1: it's nice first.

594
00:30:31,360 --> 00:30:34,520
Speaker 4: Because my main buyers are like the oddities market, and

595
00:30:34,560 --> 00:30:37,040
Speaker 4: they just like having them as like a novelty, like

596
00:30:37,080 --> 00:30:38,200
Speaker 4: a novelty wallhanger.

597
00:30:38,240 --> 00:30:40,120
Speaker 1: They're like, no, I'm not trying to screw your business.

598
00:30:40,200 --> 00:30:41,920
Speaker 4: Ye like take it easy.

599
00:30:41,960 --> 00:30:44,600
Speaker 3: See here's a guy I haven't read this yet.

600
00:30:44,640 --> 00:30:47,680
Speaker 1: He's in a moral mind. He lives in eastern Wisconsin,

601
00:30:49,480 --> 00:30:53,200
Speaker 1: far from dog sounds like avid bowhunter. One of my

602
00:30:53,240 --> 00:30:55,520
Speaker 1: close bodies owns a local tree farm and is currently

603
00:30:55,520 --> 00:31:00,200
Speaker 1: planting new trees. This is a quote. He recently got

604
00:31:00,200 --> 00:31:03,800
Speaker 1: a crop damage tag to take five deer in forty

605
00:31:03,880 --> 00:31:07,680
Speaker 1: five days, as the deer are eating his newly planted trees.

606
00:31:08,800 --> 00:31:12,000
Speaker 1: At first, I was excited to get the bow out. However,

607
00:31:12,040 --> 00:31:14,200
Speaker 1: he has sent me videos of the deer pretty much

608
00:31:14,280 --> 00:31:18,080
Speaker 1: walking up to him. The chase in which bow hunting

609
00:31:20,360 --> 00:31:21,400
Speaker 1: it's not great sentence.

610
00:31:23,680 --> 00:31:26,040
Speaker 3: I think he means. He means bow hunting is about

611
00:31:26,080 --> 00:31:26,520
Speaker 3: the chase.

612
00:31:28,320 --> 00:31:30,320
Speaker 1: Oh no, no it is. It's like a very It's

613
00:31:30,360 --> 00:31:32,360
Speaker 1: like bad syntax, but it makes sense.

614
00:31:33,400 --> 00:31:34,360
Speaker 3: The chase.

615
00:31:35,600 --> 00:31:40,640
Speaker 1: In which bow hunting is about is gone. Like a

616
00:31:40,680 --> 00:31:44,800
Speaker 1: few commas could have salvage that sentence. I don't feel

617
00:31:44,840 --> 00:31:48,160
Speaker 1: like taking five deer will help the problem, and it's

618
00:31:48,200 --> 00:31:53,040
Speaker 1: all very likely to take a deer holding fawns. However,

619
00:31:53,080 --> 00:31:54,960
Speaker 1: he puts a lot of pride into his farm, and

620
00:31:55,000 --> 00:31:57,400
Speaker 1: I have even helped with planning and witness first hand

621
00:31:57,400 --> 00:32:00,520
Speaker 1: the hard work that goes into it. Does going forward

622
00:32:00,520 --> 00:32:03,120
Speaker 1: with this pretty much give up all the ethics we

623
00:32:03,160 --> 00:32:06,080
Speaker 1: believe as hunters. No, of course not, or am I

624
00:32:06,120 --> 00:32:08,520
Speaker 1: looking to that was me editorializing, And yes it's not

625
00:32:08,600 --> 00:32:11,400
Speaker 1: a rhetorical question. No, it's a serious question. Or am

626
00:32:11,440 --> 00:32:14,560
Speaker 1: I looking too much into And ultimately it's just simply

627
00:32:14,600 --> 00:32:16,440
Speaker 1: what is protecting his crop?

628
00:32:17,360 --> 00:32:20,320
Speaker 5: I think ethics is not really the right word there

629
00:32:20,360 --> 00:32:20,720
Speaker 5: at all.

630
00:32:21,000 --> 00:32:23,400
Speaker 1: No, there's an outlet for the If there's an outlet

631
00:32:23,480 --> 00:32:25,760
Speaker 1: for the deer, you want it, your body wants it,

632
00:32:25,800 --> 00:32:28,720
Speaker 1: your church wants it. And the guy's got a crop

633
00:32:28,800 --> 00:32:31,880
Speaker 1: damage permit and it's white tailed deer, which last I

634
00:32:32,000 --> 00:32:42,520
Speaker 1: checked in Wisconsin, are above objective. Don't see it.

635
00:32:42,440 --> 00:32:43,200
Speaker 9: Being an issue.

636
00:32:44,360 --> 00:32:50,440
Speaker 1: One more? Is this the last one? Another news bit?

637
00:32:51,160 --> 00:32:52,400
Speaker 3: So in Alabama.

638
00:32:54,080 --> 00:32:55,840
Speaker 1: This is from Alabama.

639
00:32:56,800 --> 00:32:56,920
Speaker 6: Uh.

640
00:32:58,240 --> 00:33:02,840
Speaker 1: The bill a l HB fiveh nine past the House

641
00:33:02,880 --> 00:33:05,600
Speaker 1: and is moving to the Senate. This bill led by

642
00:33:05,600 --> 00:33:11,960
Speaker 1: the captive deer industry. This person writing in claims that

643
00:33:12,080 --> 00:33:14,720
Speaker 1: folks high up in the state legislature have family ties

644
00:33:14,760 --> 00:33:16,680
Speaker 1: to the captive deer industry. I can't say that's true

645
00:33:16,760 --> 00:33:19,520
Speaker 1: or not. He's just saying that's true. They want to

646
00:33:19,520 --> 00:33:22,840
Speaker 1: declare high friends. They wanted to declare high fence deer,

647
00:33:22,920 --> 00:33:27,680
Speaker 1: so they want to make captive deer private property instead

648
00:33:27,680 --> 00:33:32,720
Speaker 1: of public. Okay, some people might be surprised that it's

649
00:33:32,720 --> 00:33:35,840
Speaker 1: already this way. Depends on what state you're in. Some states,

650
00:33:35,880 --> 00:33:39,360
Speaker 1: if you have captive deer, you can just do whatever

651
00:33:39,400 --> 00:33:41,120
Speaker 1: you want. You hunt them around, you do whatever you

652
00:33:41,120 --> 00:33:43,760
Speaker 1: want with them. Some states, if you have high fence deer,

653
00:33:43,760 --> 00:33:46,760
Speaker 1: you still got to go by deer law. They want

654
00:33:46,800 --> 00:33:49,360
Speaker 1: to switch it, and they want their pet deer.

655
00:33:50,800 --> 00:33:51,160
Speaker 3: To be.

656
00:33:52,720 --> 00:33:56,720
Speaker 1: Livestock so they can do whatever they want. They don't

657
00:33:56,720 --> 00:34:00,680
Speaker 1: want them to be wildlife. Why would they care. You

658
00:34:00,720 --> 00:34:02,440
Speaker 1: can think of all kinds of reasons. They care because

659
00:34:02,480 --> 00:34:04,680
Speaker 1: now they can hund them whenever they want and do

660
00:34:04,720 --> 00:34:06,920
Speaker 1: whatever they want and kills men as they want whatever.

661
00:34:07,320 --> 00:34:09,560
Speaker 1: But the main thing is they're trying to get out

662
00:34:09,600 --> 00:34:18,320
Speaker 1: from under regulation and inspections that would keep their captive deer,

663
00:34:18,600 --> 00:34:21,600
Speaker 1: which I'm not saying, I'm sure they like at CWD

664
00:34:21,800 --> 00:34:25,920
Speaker 1: is in Alabama. They want they don't want the state

665
00:34:26,160 --> 00:34:30,359
Speaker 1: messing with them about the risk that their captive deer

666
00:34:30,400 --> 00:34:33,040
Speaker 1: are going to spread diseases to wild herds. So they're

667
00:34:33,040 --> 00:34:34,600
Speaker 1: trying to get free of that and get out of

668
00:34:34,640 --> 00:34:38,480
Speaker 1: inspection services. That's what's in the back of their head.

669
00:34:40,400 --> 00:34:47,839
Speaker 1: That's all that's It is a tricky one, man, because

670
00:34:47,880 --> 00:34:50,279
Speaker 1: I'm just suspicious of captive deer, like in general. But

671
00:34:50,320 --> 00:34:52,080
Speaker 1: I also get the argument that if it's in the

672
00:34:52,080 --> 00:34:54,000
Speaker 1: fence and it's captive, it's like whatever.

673
00:34:54,320 --> 00:34:55,839
Speaker 7: But they get out of the fences.

674
00:34:56,440 --> 00:34:57,360
Speaker 4: They do frequently.

675
00:35:00,440 --> 00:35:03,160
Speaker 9: It strikes a little close to home because Alabama's right

676
00:35:03,160 --> 00:35:04,040
Speaker 9: next to Mississippi.

677
00:35:04,040 --> 00:35:05,799
Speaker 1: Okay, what's your take on it. I don't like it.

678
00:35:06,080 --> 00:35:06,480
Speaker 1: I don't like it.

679
00:35:06,520 --> 00:35:07,359
Speaker 9: I don't like it at all.

680
00:35:07,440 --> 00:35:08,000
Speaker 1: Tell me more.

681
00:35:08,200 --> 00:35:13,880
Speaker 9: I mean, CWD obviously a problem there.

682
00:35:14,200 --> 00:35:14,759
Speaker 1: I have a problem.

683
00:35:14,800 --> 00:35:16,560
Speaker 9: I mean, like I get the they're they're in the

684
00:35:16,560 --> 00:35:18,359
Speaker 9: fence like they're not. I mean, they do get out,

685
00:35:18,400 --> 00:35:21,440
Speaker 9: But I hinge on the thing, like even without the

686
00:35:21,480 --> 00:35:26,320
Speaker 9: CWD argument, it's like the wildlife are belonging to the

687
00:35:26,560 --> 00:35:29,520
Speaker 9: belong to the people, their public resource, like saying that

688
00:35:29,560 --> 00:35:31,160
Speaker 9: you can put a fence around that and all of

689
00:35:31,160 --> 00:35:33,520
Speaker 9: a sudden, that deer and everything in there becomes your

690
00:35:33,520 --> 00:35:34,200
Speaker 9: private property.

691
00:35:34,239 --> 00:35:35,120
Speaker 1: I don't like that at all.

692
00:35:36,680 --> 00:35:38,920
Speaker 9: And then there's just been been a lot of stuff

693
00:35:38,960 --> 00:35:42,440
Speaker 9: going on around home with CWD lately. It's not I mean,

694
00:35:42,480 --> 00:35:45,480
Speaker 9: it's never good, right, But we had a there was

695
00:35:45,520 --> 00:35:48,279
Speaker 9: a case that popped up along the Mississippi River in Louisiana,

696
00:35:48,480 --> 00:35:51,160
Speaker 9: but going off CWD management guidelines, it would have put

697
00:35:51,280 --> 00:35:55,600
Speaker 9: part of Clavern County, Mississippi in so CWD management. Well,

698
00:35:55,640 --> 00:35:57,839
Speaker 9: there's a dude on our Wildlife Commission that was like,

699
00:35:58,600 --> 00:36:01,200
Speaker 9: why would uh loise and a deer make this go

700
00:36:01,320 --> 00:36:04,879
Speaker 9: into CWD management? The river's right there, disregarding the fact

701
00:36:04,880 --> 00:36:07,120
Speaker 9: that those deers swim the river all the time. And

702
00:36:07,160 --> 00:36:09,359
Speaker 9: so they had this boat and they were you know,

703
00:36:09,400 --> 00:36:12,320
Speaker 9: and next thing, you know, within like a couple of months,

704
00:36:12,360 --> 00:36:15,640
Speaker 9: they have a cwdk show up in Clavern County. Just

705
00:36:16,120 --> 00:36:20,600
Speaker 9: no dead serious and so and obviously, you know, CW

706
00:36:20,760 --> 00:36:25,840
Speaker 9: is a very controversial topic, but it is. And seeing

707
00:36:25,920 --> 00:36:29,480
Speaker 9: that and using as like if they pass that, then

708
00:36:30,160 --> 00:36:32,440
Speaker 9: they can get around some of the CWD stuff. And

709
00:36:32,440 --> 00:36:34,680
Speaker 9: I could just so very easily seeing that hopping over

710
00:36:34,760 --> 00:36:37,560
Speaker 9: into Mississippi because there's some high fences there too, and

711
00:36:37,760 --> 00:36:39,919
Speaker 9: I just don't like get too close to home.

712
00:36:40,120 --> 00:36:40,600
Speaker 4: Yeah.

713
00:36:40,640 --> 00:36:43,719
Speaker 6: Well, and there's a lot to learn about CWD so much,

714
00:36:43,920 --> 00:36:48,719
Speaker 6: but we certainly know that concentrated areas of animals are

715
00:36:49,080 --> 00:36:51,319
Speaker 6: one of the worst things that we can have so

716
00:36:51,840 --> 00:36:55,160
Speaker 6: promoting that and making that easier is not helping the

717
00:36:55,200 --> 00:36:55,560
Speaker 6: c w.

718
00:36:55,920 --> 00:36:58,920
Speaker 1: Case at Yeah, and moving servants has proven to be

719
00:37:00,320 --> 00:37:03,040
Speaker 1: uh problematic, but a lot of the servid movements are

720
00:37:03,080 --> 00:37:07,000
Speaker 1: down now. You know. An interesting casualty of the c

721
00:37:07,320 --> 00:37:13,000
Speaker 1: w D is that you that it really put the

722
00:37:13,040 --> 00:37:14,160
Speaker 1: knicks on elk recovery.

723
00:37:14,520 --> 00:37:15,040
Speaker 9: Mm hmmm.

724
00:37:15,760 --> 00:37:20,080
Speaker 1: Yeah, because as they're like regulating relocating servits, it's ground

725
00:37:20,120 --> 00:37:22,799
Speaker 1: down that you're going to take out from source populations

726
00:37:22,800 --> 00:37:25,000
Speaker 1: and bring them into new places because people aren't wanting

727
00:37:25,000 --> 00:37:26,280
Speaker 1: to transport servants around.

728
00:37:26,640 --> 00:37:29,640
Speaker 6: And now we have CWD on all of our feed

729
00:37:29,680 --> 00:37:31,800
Speaker 6: grounds because the elk and feed grounds.

730
00:37:32,440 --> 00:37:35,000
Speaker 7: It's getting messier by the minute.

731
00:37:35,280 --> 00:37:38,640
Speaker 1: There was the late Jim Poswitz who was he was

732
00:37:38,760 --> 00:37:41,279
Speaker 1: from Montana, and he wrote these little pamphlets that you

733
00:37:41,360 --> 00:37:43,279
Speaker 1: give kids when they're like, if your kid goes through

734
00:37:43,320 --> 00:37:45,439
Speaker 1: hunter safety with the state, you might he might wind

735
00:37:45,520 --> 00:37:51,440
Speaker 1: up with these Jim these gym positates pamphlets like like

736
00:37:51,680 --> 00:37:54,000
Speaker 1: I can't remember what they're called, just a little like

737
00:37:54,000 --> 00:37:57,200
Speaker 1: like sort of things about ethics of hunting and stuff.

738
00:37:57,440 --> 00:37:58,960
Speaker 1: He was he was coming he was a hunter. He

739
00:37:59,040 --> 00:38:02,920
Speaker 1: was like a philosopher about hunting ethics and he was.

740
00:38:03,000 --> 00:38:04,560
Speaker 3: He was always very suspicious of.

741
00:38:05,400 --> 00:38:08,680
Speaker 1: Captive the captive servant industry, and was involved with Montana

742
00:38:08,880 --> 00:38:12,440
Speaker 1: when it went to a vote Montana and Montana rejected

743
00:38:12,480 --> 00:38:14,560
Speaker 1: canned hunting on.

744
00:38:14,600 --> 00:38:16,840
Speaker 3: Captive servative facilities overwhelmingly.

745
00:38:17,480 --> 00:38:20,239
Speaker 1: Jimposwitz was very involved in that fight, and he had

746
00:38:20,239 --> 00:38:24,480
Speaker 1: this interesting point about it, which is like, if you

747
00:38:24,480 --> 00:38:27,759
Speaker 1: look at the captive deer and elk industry, there's there's

748
00:38:27,800 --> 00:38:31,640
Speaker 1: a friction because this is just this is just like,

749
00:38:31,920 --> 00:38:34,920
Speaker 1: this isn't proposing legislation. This is just like an observation

750
00:38:35,000 --> 00:38:40,680
Speaker 1: of his. What gives those captive animals their value is

751
00:38:40,719 --> 00:38:45,719
Speaker 1: the social value that the wild version has. Do you

752
00:38:45,800 --> 00:38:49,880
Speaker 1: know what I mean? It's like, what excites someone about

753
00:38:50,000 --> 00:38:54,040
Speaker 1: growing a big buck is the social value that a

754
00:38:54,160 --> 00:38:58,480
Speaker 1: big buck in its wild form has. Meaning if you

755
00:38:58,560 --> 00:39:01,680
Speaker 1: went and got a you know, if you went and

756
00:39:01,719 --> 00:39:05,719
Speaker 1: got a sheep and you figured out how to make

757
00:39:05,719 --> 00:39:08,600
Speaker 1: a little ram, a little domestic ram have like slightly

758
00:39:08,640 --> 00:39:11,840
Speaker 1: bigger horns, people are not That's not exciting to people

759
00:39:12,440 --> 00:39:15,960
Speaker 1: because there's not a social value attached to wildlife that

760
00:39:16,000 --> 00:39:20,120
Speaker 1: you're trying to mimic. Right, You're you're in a way

761
00:39:20,239 --> 00:39:24,719
Speaker 1: subverting the thing that has social value to build a

762
00:39:24,760 --> 00:39:28,200
Speaker 1: sort of artificial version of the thing that people are

763
00:39:28,200 --> 00:39:31,120
Speaker 1: excited about in the first place. So he just questioned

764
00:39:31,120 --> 00:39:35,160
Speaker 1: it from from a from a philosophical angle. You know,

765
00:39:37,200 --> 00:39:44,719
Speaker 1: it'd be similar to I think of a bunch of

766
00:39:44,800 --> 00:39:46,640
Speaker 1: things that'd be similar to this insulting to bring it

767
00:39:46,719 --> 00:39:47,840
Speaker 1: up some in there minds.

768
00:39:49,440 --> 00:39:51,480
Speaker 4: Now worse than Doug's dog.

769
00:39:51,760 --> 00:39:53,480
Speaker 1: I was gonna make a I was gonna make an

770
00:39:53,520 --> 00:39:56,840
Speaker 1: analogy to what some people refer to as the oldest profession.

771
00:39:57,600 --> 00:40:05,600
Speaker 9: Oh, I got it, we got it.

772
00:40:05,960 --> 00:40:07,280
Speaker 3: Some people argue was hunting.

773
00:40:07,320 --> 00:40:15,879
Speaker 1: I don't know. Uh, central Mississippi. Yeah, grew up Central Mississippi.

774
00:40:16,080 --> 00:40:18,160
Speaker 1: What was your how'd you get into how'd you get

775
00:40:18,200 --> 00:40:18,760
Speaker 1: into hunting?

776
00:40:18,960 --> 00:40:22,520
Speaker 9: Man? I mean you're kind of you're put into it early,

777
00:40:22,640 --> 00:40:25,520
Speaker 9: just because Central Mississippi is just kind of just kind

778
00:40:25,560 --> 00:40:27,560
Speaker 9: of the common thing a out there. Everybody hunts her

779
00:40:27,560 --> 00:40:32,400
Speaker 9: fishes to some degree. Uh, but my dad is describe

780
00:40:32,400 --> 00:40:35,080
Speaker 9: my dad, he hunts a little bit and fishes a lot.

781
00:40:35,160 --> 00:40:37,279
Speaker 9: That's where it's where the name lake came from. My

782
00:40:37,360 --> 00:40:42,280
Speaker 9: dad's an obsessed fisherman and so named.

783
00:40:44,360 --> 00:40:47,239
Speaker 5: That's fairs really good.

784
00:40:48,719 --> 00:40:52,640
Speaker 9: So uh, like we were, you know, we we fash

785
00:40:52,719 --> 00:40:55,279
Speaker 9: fished a lot, like I was telling you earlier about

786
00:40:55,400 --> 00:40:58,400
Speaker 9: you know, my dad, it was like mandatory that me

787
00:40:58,440 --> 00:40:59,960
Speaker 9: and my brother learned how to throw a bait cap.

788
00:41:00,280 --> 00:41:03,000
Speaker 9: You know, we fished a whole lot, and then deer

789
00:41:03,040 --> 00:41:05,920
Speaker 9: season would come around, and you know the rifle opener

790
00:41:05,960 --> 00:41:08,600
Speaker 9: and maybe other one weeknd a year and then opener

791
00:41:08,600 --> 00:41:10,319
Speaker 9: a tough season. That was a big thing down there,

792
00:41:10,360 --> 00:41:11,920
Speaker 9: But that was about the extent of it.

793
00:41:12,040 --> 00:41:14,160
Speaker 3: You guys would fish during hunting season.

794
00:41:14,239 --> 00:41:16,879
Speaker 1: Oh yeah, yeah, like like that you shouldn't be allowed

795
00:41:16,880 --> 00:41:17,839
Speaker 1: to do that, Like.

796
00:41:17,520 --> 00:41:19,920
Speaker 9: Like fishing is the end all be all like that.

797
00:41:20,200 --> 00:41:22,239
Speaker 9: When I was first getting into Turkey and skipping a

798
00:41:22,239 --> 00:41:24,040
Speaker 9: little head ahead here, but like I remember one of

799
00:41:24,040 --> 00:41:26,640
Speaker 9: the first morning's Turkey Hunton, like trying to hear a

800
00:41:26,680 --> 00:41:29,680
Speaker 9: turkey and there's like a little pond down below, and

801
00:41:29,800 --> 00:41:31,960
Speaker 9: Dad's like, I wonder if I got a buzz bait

802
00:41:32,000 --> 00:41:34,880
Speaker 9: in my truck. I mean, that's all he's thinking about.

803
00:41:35,560 --> 00:41:40,359
Speaker 9: So and yeah, Turkey Hunton is a huge down home.

804
00:41:40,640 --> 00:41:43,080
Speaker 9: And so I'd heard some buddies like at church and

805
00:41:43,120 --> 00:41:45,600
Speaker 9: stuff talking about Turkey un during the springs.

806
00:41:45,120 --> 00:41:46,560
Speaker 1: Like the cradle of Turkey hunting.

807
00:41:46,640 --> 00:41:49,239
Speaker 9: Oh yeah, yeah, and I. But I just didn't get

808
00:41:49,239 --> 00:41:52,400
Speaker 9: that early because my dad wasn't a turkey hunter. And

809
00:41:52,440 --> 00:41:55,239
Speaker 9: then this is true story. People think I'm being hyperbolic,

810
00:41:55,280 --> 00:41:57,360
Speaker 9: but it's true. We were on a we were on

811
00:41:57,440 --> 00:42:01,319
Speaker 9: a family like vacation thing over spring break, and we

812
00:42:01,320 --> 00:42:04,120
Speaker 9: stopped at a Bass Pro shop and uh, they were

813
00:42:04,160 --> 00:42:07,920
Speaker 9: doing these like seminars and there was a Primo's Pro

814
00:42:08,040 --> 00:42:11,880
Speaker 9: staff guy wheeled out this TV and I was a kid,

815
00:42:11,920 --> 00:42:14,000
Speaker 9: so like, oh, it's on the TV and he plays

816
00:42:14,040 --> 00:42:16,160
Speaker 9: a turkey hunt and I was like, holy smokes, that

817
00:42:16,239 --> 00:42:19,880
Speaker 9: looks wild. So I start when I'm at church on Sunday,

818
00:42:19,920 --> 00:42:22,120
Speaker 9: I start like sourcing out people. I'm like, will you

819
00:42:22,160 --> 00:42:24,759
Speaker 9: take me turkey hunting? Because because like my dad was

820
00:42:24,800 --> 00:42:26,360
Speaker 9: willing to do it. But my dad was like I

821
00:42:26,360 --> 00:42:29,200
Speaker 9: have no idea what I'm doing, you know. Uh, And

822
00:42:29,800 --> 00:42:32,800
Speaker 9: thank the good Lord, I found a guy, still close

823
00:42:32,800 --> 00:42:34,640
Speaker 9: friends with him to this day, a guy named Keith Polk.

824
00:42:35,239 --> 00:42:37,600
Speaker 3: And Keith was this sounds like a good turkey hunter,

825
00:42:37,719 --> 00:42:38,360
Speaker 3: oh man.

826
00:42:38,960 --> 00:42:43,520
Speaker 9: Keith Pole, Yeah yeah, Keith is man. Yeah, I probably.

827
00:42:43,560 --> 00:42:46,200
Speaker 9: I know that guy a lot. But he talked to

828
00:42:46,200 --> 00:42:48,279
Speaker 9: my parents and were like, hey, you mind if I

829
00:42:48,320 --> 00:42:50,440
Speaker 9: take Lake turkey hunt and over Mississippi Youth Weekend and

830
00:42:50,440 --> 00:42:53,160
Speaker 9: they were like, please take lake turkey hunting. It's all

831
00:42:53,160 --> 00:42:56,560
Speaker 9: the kid talks about. And so, uh, he rolls up

832
00:42:57,040 --> 00:43:00,399
Speaker 9: Saturday morning the Youth season takes me turkey ounting, and

833
00:43:00,560 --> 00:43:04,280
Speaker 9: uh we end up shooting a bird and I like, literally,

834
00:43:04,320 --> 00:43:06,680
Speaker 9: I've not stopped ever since. I still I mean, I

835
00:43:06,719 --> 00:43:11,040
Speaker 9: could swim. How were the twelve Yeah I could. I

836
00:43:11,040 --> 00:43:13,480
Speaker 9: can close my eye and still picture that turkey strutting

837
00:43:13,480 --> 00:43:15,760
Speaker 9: down that ridge. It was just burned into my brain,

838
00:43:16,040 --> 00:43:20,160
Speaker 9: like I never and I once I remember thinking like

839
00:43:20,680 --> 00:43:23,200
Speaker 9: because I was only it was only twelve. I remember

840
00:43:23,200 --> 00:43:24,800
Speaker 9: shooting that turkey and We're carrying them out of the

841
00:43:24,800 --> 00:43:26,440
Speaker 9: woods and I'm like, you're telling me I could have

842
00:43:26,520 --> 00:43:29,160
Speaker 9: been doing this the whole other eleven years of my life, though,

843
00:43:29,440 --> 00:43:32,480
Speaker 9: I just and and that led to everything else. So

844
00:43:32,760 --> 00:43:36,560
Speaker 9: I got into bow hunting and really got into turkey hunton,

845
00:43:36,640 --> 00:43:40,719
Speaker 9: and yeah, it just it all. Spurn turkey on was

846
00:43:40,760 --> 00:43:41,960
Speaker 9: the catalyst of all of it.

847
00:43:42,640 --> 00:43:44,920
Speaker 1: And't that funny that you got turned down a turkey hunt?

848
00:43:44,960 --> 00:43:47,239
Speaker 1: And watching the premos video then went on to make

849
00:43:48,280 --> 00:43:50,800
Speaker 1: how many premost videos did you work on? Probably dozens

850
00:43:50,800 --> 00:43:51,680
Speaker 1: and dozens and dozens.

851
00:43:51,680 --> 00:43:53,399
Speaker 9: I mean I was there for I mean nine years

852
00:43:53,440 --> 00:43:56,880
Speaker 9: and some change, just just south of ten years. I

853
00:43:56,920 --> 00:44:00,279
Speaker 9: don't know, man, it was yeah, it's all my What

854
00:44:00,320 --> 00:44:02,440
Speaker 9: I tell people is like my whole life has been

855
00:44:03,040 --> 00:44:04,959
Speaker 9: like just the series of like how in the world

856
00:44:04,960 --> 00:44:05,960
Speaker 9: did I even end up here?

857
00:44:06,080 --> 00:44:06,560
Speaker 3: Kind of thing?

858
00:44:07,440 --> 00:44:11,919
Speaker 9: But yeah, I Will Primos, and I remember the first

859
00:44:11,960 --> 00:44:13,680
Speaker 9: time I turkey on it with Will was kind of funny,

860
00:44:13,719 --> 00:44:18,600
Speaker 9: but I would I would watch Primos videos like like

861
00:44:18,640 --> 00:44:21,399
Speaker 9: I was watching game film, you know, trying to trying

862
00:44:21,440 --> 00:44:23,400
Speaker 9: to I was like, what did he do? Because I

863
00:44:23,440 --> 00:44:26,600
Speaker 9: told Will, like, oh yeah, I told Will one time.

864
00:44:26,640 --> 00:44:28,080
Speaker 9: I mean this was years ago, I said Will. I

865
00:44:28,160 --> 00:44:30,640
Speaker 9: used to watch those videos and I would listen to

866
00:44:30,719 --> 00:44:33,880
Speaker 9: a like calling Cadence, and I would rewind it and

867
00:44:33,920 --> 00:44:35,880
Speaker 9: listen to it over and over and over again and

868
00:44:35,920 --> 00:44:36,680
Speaker 9: try to mimic it.

869
00:44:36,960 --> 00:44:38,320
Speaker 4: Huh muscle memory.

870
00:44:38,480 --> 00:44:41,000
Speaker 9: Yeah, because I mean, like I just I didn't know

871
00:44:41,040 --> 00:44:43,160
Speaker 9: what I was doing. And then even after I got

872
00:44:43,160 --> 00:44:45,520
Speaker 9: that first bird with Keith, like, there was still a

873
00:44:45,560 --> 00:44:47,919
Speaker 9: whole lot of like you gotta put it together for yourself.

874
00:44:47,680 --> 00:44:51,560
Speaker 1: Kind of thing. But yeah, yeah it was.

875
00:44:51,640 --> 00:44:55,160
Speaker 9: I was like Will Primos was and the whole Promos

876
00:44:55,200 --> 00:44:57,799
Speaker 9: crew man. They were like, they might as well hung

877
00:44:57,840 --> 00:44:58,400
Speaker 9: the moon for me.

878
00:45:02,560 --> 00:45:04,560
Speaker 1: When you when you're working there and you get your check,

879
00:45:04,600 --> 00:45:08,040
Speaker 1: what's to say, Primo's on it? Yeah? It did. Yeah.

880
00:45:08,120 --> 00:45:09,719
Speaker 9: Yeah.

881
00:45:10,040 --> 00:45:12,080
Speaker 1: The thing I liked I've said is foreign, I said

882
00:45:12,120 --> 00:45:16,480
Speaker 1: to his face one of the things I like Will.

883
00:45:16,560 --> 00:45:22,160
Speaker 1: Will's very good communicator. Yeah, but to my awareness, I've

884
00:45:22,200 --> 00:45:23,560
Speaker 1: never heard him say a negative word.

885
00:45:24,760 --> 00:45:26,960
Speaker 3: Man, he's just like about anybody.

886
00:45:27,600 --> 00:45:32,160
Speaker 9: I'll tell you a story about Will, like, uh, he's

887
00:45:32,239 --> 00:45:35,040
Speaker 9: so like you used to say, like you hear people

888
00:45:35,040 --> 00:45:37,520
Speaker 9: say there's people that want you to succeed, there's people

889
00:45:37,520 --> 00:45:40,279
Speaker 9: that don't want you to succeed, like or Will like

890
00:45:40,400 --> 00:45:44,680
Speaker 9: goes over and over and beyond, like wanting to people

891
00:45:44,800 --> 00:45:47,840
Speaker 9: wanting people to succeed. And uh. I had been at

892
00:45:47,880 --> 00:45:51,239
Speaker 9: Primos for three or four years and been hunting with

893
00:45:51,320 --> 00:45:52,960
Speaker 9: Will a lot, so we got to know him. And

894
00:45:53,520 --> 00:45:55,239
Speaker 9: he came by the office one day in the middle

895
00:45:55,239 --> 00:45:57,600
Speaker 9: of the week and I saw him for like a minute,

896
00:45:57,640 --> 00:45:59,879
Speaker 9: maybe two minutes, just he was just the in and out.

897
00:46:00,560 --> 00:46:02,959
Speaker 9: And that weekend is a Saturday morning, my phone rings,

898
00:46:02,960 --> 00:46:05,879
Speaker 9: its Will not uncommon and answer the phone is like, hey,

899
00:46:06,239 --> 00:46:07,719
Speaker 9: I need some help. Over at the house. You mind

900
00:46:07,760 --> 00:46:08,200
Speaker 9: coming over?

901
00:46:08,360 --> 00:46:08,920
Speaker 1: Not uncommon?

902
00:46:08,920 --> 00:46:12,000
Speaker 9: I'm like, yeah, sure, right up there. He's not usually

903
00:46:12,040 --> 00:46:13,319
Speaker 9: if he called me, it was like something out in

904
00:46:13,320 --> 00:46:15,040
Speaker 9: his yard, but he w wasn't out his r Like huh.

905
00:46:15,080 --> 00:46:16,799
Speaker 9: So go knock on his door and he's like just

906
00:46:16,920 --> 00:46:19,240
Speaker 9: standing in casual clothes that come inside, get some coffee

907
00:46:19,239 --> 00:46:20,680
Speaker 9: and at this point, like, oh, what did I do?

908
00:46:21,480 --> 00:46:21,840
Speaker 1: Fire you?

909
00:46:22,920 --> 00:46:23,759
Speaker 3: Fire you like a man?

910
00:46:24,040 --> 00:46:24,440
Speaker 1: He says.

911
00:46:24,560 --> 00:46:24,680
Speaker 8: Uh.

912
00:46:24,719 --> 00:46:26,320
Speaker 9: He says, man, get some coffee and go sit in

913
00:46:26,400 --> 00:46:28,040
Speaker 9: the office. And so I sit in the office at coffee.

914
00:46:28,040 --> 00:46:30,160
Speaker 9: I'm like, what in the world did I do it?

915
00:46:30,239 --> 00:46:31,360
Speaker 9: Like my wheels are spinning?

916
00:46:32,120 --> 00:46:32,680
Speaker 1: And uh.

917
00:46:32,719 --> 00:46:35,000
Speaker 9: He comes in there and he sits down and he says, Lake,

918
00:46:35,719 --> 00:46:38,160
Speaker 9: and I came in the office this week. I could

919
00:46:38,160 --> 00:46:40,960
Speaker 9: tell something was bothering you. I don't know what it was,

920
00:46:41,239 --> 00:46:43,239
Speaker 9: but you and me, we're gonna sit here. We're gonna

921
00:46:43,239 --> 00:46:44,600
Speaker 9: talk about it till we figure it out because I

922
00:46:44,600 --> 00:46:45,600
Speaker 9: don't like seeing you that way.

923
00:46:45,960 --> 00:46:46,279
Speaker 1: M hm.

924
00:46:46,719 --> 00:46:49,880
Speaker 9: That's just kind of duty, is what was it?

925
00:46:50,520 --> 00:46:50,800
Speaker 1: Dude?

926
00:46:50,800 --> 00:46:52,680
Speaker 9: It was like a like a it was like a

927
00:46:52,719 --> 00:46:55,520
Speaker 9: breakup or something like that. Something minuscule, but it just

928
00:46:55,640 --> 00:46:58,200
Speaker 9: meant the world that he cared that much. You know

929
00:46:59,280 --> 00:47:05,200
Speaker 9: you're married, No, Hall been married three years in July. Kids,

930
00:47:05,480 --> 00:47:07,760
Speaker 9: no kids, okay, two dogs.

931
00:47:08,520 --> 00:47:14,080
Speaker 1: Yeah. That's the thing about Will. There's like a I've

932
00:47:14,200 --> 00:47:15,879
Speaker 1: kind of a bunch of people like this. Well, I'm

933
00:47:15,880 --> 00:47:18,359
Speaker 1: gonna return to my commencement address I gave the other day,

934
00:47:20,760 --> 00:47:22,160
Speaker 1: the no Plan B address.

935
00:47:22,360 --> 00:47:22,480
Speaker 6: Yea.

936
00:47:22,800 --> 00:47:24,120
Speaker 3: What I was talking about was like.

937
00:47:25,400 --> 00:47:29,200
Speaker 1: People trying to pick what the selecting your plan A

938
00:47:29,920 --> 00:47:32,439
Speaker 1: for now, pick a plan A and kill the plan

939
00:47:32,520 --> 00:47:35,440
Speaker 1: b's because you'll get seduced by your plan B. It'll

940
00:47:35,480 --> 00:47:38,400
Speaker 1: just be easier and you'll get it'll seduce you. And

941
00:47:38,440 --> 00:47:41,759
Speaker 1: I put it in terms of like cliff jumping and

942
00:47:41,800 --> 00:47:45,280
Speaker 1: watching my daughter pick a real high cliff in Hawaii

943
00:47:45,960 --> 00:47:48,080
Speaker 1: that she was gonna jump off into the plunge pool

944
00:47:48,200 --> 00:47:50,799
Speaker 1: at a waterfall, and then you could see in her

945
00:47:50,840 --> 00:47:53,800
Speaker 1: mind just wishing she hadn't a climbed out on that cliff.

946
00:47:53,880 --> 00:47:56,799
Speaker 1: But there she is now, And like most people get

947
00:47:56,840 --> 00:47:59,600
Speaker 1: on the ledge and they quickly would go down and

948
00:47:59,640 --> 00:48:00,920
Speaker 1: find another legend.

949
00:48:00,719 --> 00:48:03,280
Speaker 3: Jump, but she just couldn't.

950
00:48:03,560 --> 00:48:05,880
Speaker 1: She picked it and there she was, and now she

951
00:48:05,920 --> 00:48:08,840
Speaker 1: had to cope with the selection and how intimidating it

952
00:48:08,920 --> 00:48:11,320
Speaker 1: was being up there. And I was talking about his people.

953
00:48:12,200 --> 00:48:15,719
Speaker 1: When you're on your plan a ledge, there's people that

954
00:48:15,760 --> 00:48:18,879
Speaker 1: want you to come off that ledge bad, and there's

955
00:48:18,960 --> 00:48:20,680
Speaker 1: people that want you to do it and they want

956
00:48:20,719 --> 00:48:22,160
Speaker 1: you to break it back when you hit the water.

957
00:48:22,920 --> 00:48:23,920
Speaker 3: Yep, do you follow me?

958
00:48:25,120 --> 00:48:28,960
Speaker 1: And that's the sense I get from him. Another dude

959
00:48:29,000 --> 00:48:33,920
Speaker 1: that has that, like he doesn't talk about it, but

960
00:48:33,960 --> 00:48:38,880
Speaker 1: he has it like to unbelievable degree is Joe Rogan.

961
00:48:41,239 --> 00:48:45,439
Speaker 1: You know, he gets into podcasting early and encourages all

962
00:48:45,560 --> 00:48:48,800
Speaker 1: his friends to start a podcast. He opens a comedy

963
00:48:48,800 --> 00:48:52,640
Speaker 1: club in Austin. You think that if someone wanted to

964
00:48:52,640 --> 00:48:54,880
Speaker 1: open a comedy club down the road on the street,

965
00:48:55,160 --> 00:49:00,879
Speaker 1: you'd be like, damn it. He's like awesome. Yeah, it's

966
00:49:01,080 --> 00:49:04,640
Speaker 1: just like it's different like ways of viewing the world man.

967
00:49:04,719 --> 00:49:06,880
Speaker 9: And that's one of the biggest things I got from

968
00:49:06,920 --> 00:49:09,560
Speaker 9: Will Mann. Well, like so this podcast, you know, like uh,

969
00:49:10,200 --> 00:49:12,800
Speaker 9: it all kind of started like I met, like Clay

970
00:49:12,840 --> 00:49:14,320
Speaker 9: came down in Turkey on with me and Will for

971
00:49:14,360 --> 00:49:16,239
Speaker 9: a few days and then we just kind of kept

972
00:49:16,280 --> 00:49:19,279
Speaker 9: going every spring and hunting other stuff, and Will and

973
00:49:19,320 --> 00:49:21,960
Speaker 9: Clay became buddies. Clay and I became buddies. But when

974
00:49:22,000 --> 00:49:24,680
Speaker 9: all this happened. We were working on like the first

975
00:49:24,680 --> 00:49:28,040
Speaker 9: episode of Backwoods University, and it just so worked out.

976
00:49:28,120 --> 00:49:30,720
Speaker 9: I was like, Will would actually be a perfect guest

977
00:49:30,760 --> 00:49:33,680
Speaker 9: on this. So I call Will. I tell him I

978
00:49:33,719 --> 00:49:35,040
Speaker 9: don't you know, I don't just say hey, I need

979
00:49:35,080 --> 00:49:37,280
Speaker 9: to interview. I tell him, hey, man, I got this opportunity,

980
00:49:37,320 --> 00:49:39,120
Speaker 9: this new podcast going to be on Clay's feed. And

981
00:49:39,160 --> 00:49:42,720
Speaker 9: Will is like ecstatic not to be on the interview.

982
00:49:42,800 --> 00:49:44,880
Speaker 9: He's just like, man, that's so great, and like just

983
00:49:45,440 --> 00:49:48,800
Speaker 9: like cleared out and he's pretty like he stays busy,

984
00:49:48,840 --> 00:49:51,279
Speaker 9: that guy, but like cleared out of time for me

985
00:49:51,360 --> 00:49:54,399
Speaker 9: to come and make that happen, just because he's that's

986
00:49:54,480 --> 00:49:56,160
Speaker 9: just how he is man. He's like, how can I

987
00:49:56,200 --> 00:49:57,279
Speaker 9: help push you up the hill?

988
00:49:57,400 --> 00:50:00,439
Speaker 1: Mm hmm, yeah, that's a sense, like I'll watch.

989
00:50:00,640 --> 00:50:03,040
Speaker 9: That's how he is man with everybody, not just me,

990
00:50:03,520 --> 00:50:04,799
Speaker 9: Like he's just that kind of guy.

991
00:50:06,320 --> 00:50:08,480
Speaker 11: Talk about the podcast what it's going to be like,

992
00:50:08,960 --> 00:50:15,640
Speaker 11: So Backwards University very wildlife biology based, but also like Clay,

993
00:50:15,960 --> 00:50:19,560
Speaker 11: we were kind of putting together a list of like

994
00:50:19,640 --> 00:50:21,279
Speaker 11: topics and episodes we would do.

995
00:50:21,840 --> 00:50:26,440
Speaker 9: And I was like, Clay, there's not a species of

996
00:50:26,480 --> 00:50:28,920
Speaker 9: wildlife because we're doing some episodes just kind of like

997
00:50:28,920 --> 00:50:31,920
Speaker 9: an overarching view of a certain species, and then we're

998
00:50:31,920 --> 00:50:35,359
Speaker 9: doing some that's like getting more specific and like like

999
00:50:35,400 --> 00:50:38,480
Speaker 9: wildlife processes or whatever. And was like, Clay, there's not

1000
00:50:39,400 --> 00:50:42,080
Speaker 9: any of these that I can talk about where you

1001
00:50:42,160 --> 00:50:46,680
Speaker 9: can't mention the influence of humans on these animals, positive

1002
00:50:46,760 --> 00:50:47,240
Speaker 9: or negative.

1003
00:50:47,560 --> 00:50:47,960
Speaker 1: Got it.

1004
00:50:48,000 --> 00:50:51,320
Speaker 9: But the influence is usually very strong one way or

1005
00:50:51,360 --> 00:50:53,439
Speaker 9: the other. Sometimes it's great, sometimes it's not so great.

1006
00:50:53,520 --> 00:50:55,640
Speaker 9: But that's what it's kind of focusing in on.

1007
00:50:55,960 --> 00:50:58,160
Speaker 3: Yeah, nothing has escaped us.

1008
00:50:58,400 --> 00:51:02,520
Speaker 9: No, it's it's man. I was talking to the quail

1009
00:51:02,560 --> 00:51:05,719
Speaker 9: biologist named James Martin and he was talking about some

1010
00:51:05,800 --> 00:51:09,120
Speaker 9: of the strongholds in the southeast and he was talking

1011
00:51:09,120 --> 00:51:12,600
Speaker 9: about like he's talking about a particular stronghold. I said, man,

1012
00:51:12,600 --> 00:51:14,439
Speaker 9: why why was that was a habitat thing?

1013
00:51:14,520 --> 00:51:14,960
Speaker 1: Was this that?

1014
00:51:15,000 --> 00:51:16,720
Speaker 9: And the others said that's where the railroad stopped?

1015
00:51:17,239 --> 00:51:17,960
Speaker 1: Oh you're kidding me.

1016
00:51:18,040 --> 00:51:20,440
Speaker 9: Yeah, he's like that. He's like, if the if the

1017
00:51:20,480 --> 00:51:22,640
Speaker 9: railroad would have kept going, the stronghold would have been

1018
00:51:22,680 --> 00:51:23,279
Speaker 9: somewhere else.

1019
00:51:24,640 --> 00:51:27,680
Speaker 1: We had an anthropologist on recently and we're talking about

1020
00:51:27,680 --> 00:51:31,319
Speaker 1: the place the scene extinctions, and he was saying it

1021
00:51:31,360 --> 00:51:36,200
Speaker 1: was a really good formula for places where megafauna like large.

1022
00:51:36,200 --> 00:51:38,680
Speaker 1: It's a really good formula for places where large mammals

1023
00:51:38,800 --> 00:51:41,839
Speaker 1: continue to exist. There's never enough people there to get

1024
00:51:41,840 --> 00:51:45,560
Speaker 1: them all. And he starts like rattling off cases of

1025
00:51:45,600 --> 00:51:49,440
Speaker 1: like refugia where things like managed to survive, and it's

1026
00:51:49,440 --> 00:51:51,520
Speaker 1: like managed to survive because the human populated it couldn't

1027
00:51:51,520 --> 00:51:52,040
Speaker 1: support a bit.

1028
00:51:52,120 --> 00:51:54,720
Speaker 3: No, it was more than that. It wasn't just happened chance.

1029
00:51:55,160 --> 00:51:56,840
Speaker 1: It was just places that weren't going to support a

1030
00:51:56,880 --> 00:51:59,200
Speaker 1: large human population at a certain time.

1031
00:51:59,440 --> 00:52:01,960
Speaker 9: It's it's a man like there's an episode that I'm

1032
00:52:02,000 --> 00:52:04,759
Speaker 9: working on right now that delves into the state of

1033
00:52:04,760 --> 00:52:07,120
Speaker 9: Mississippi because we were Mississippi is one of the last

1034
00:52:07,120 --> 00:52:10,000
Speaker 9: states to put in a formal Game and Fish agency,

1035
00:52:10,000 --> 00:52:13,520
Speaker 9: you know, have established laws. And that's when Loopold made

1036
00:52:13,520 --> 00:52:15,799
Speaker 9: his trip down there and he wrote and he wrote

1037
00:52:15,840 --> 00:52:18,640
Speaker 9: a report in nineteen twenty nine where he basically just

1038
00:52:18,760 --> 00:52:21,520
Speaker 9: goes over the status of all these game animals and

1039
00:52:21,560 --> 00:52:26,160
Speaker 9: it's astounding, especially like now, the white tailed deer population

1040
00:52:26,200 --> 00:52:30,040
Speaker 9: in Mississippi now is like one point five million, Like

1041
00:52:30,040 --> 00:52:33,240
Speaker 9: our game agency is asking, they're imploring hunters like please

1042
00:52:33,280 --> 00:52:36,239
Speaker 9: shoot more deer. We have too many. When Loopold was

1043
00:52:36,239 --> 00:52:38,440
Speaker 9: there in nineteen twenty nine, in his report, it was

1044
00:52:38,520 --> 00:52:40,520
Speaker 9: it was estimated we had twelve hundred deer in the

1045
00:52:40,600 --> 00:52:41,120
Speaker 9: entire states.

1046
00:52:41,800 --> 00:52:43,640
Speaker 1: You've got to be kidding. It was that bad down there.

1047
00:52:44,120 --> 00:52:48,399
Speaker 9: Huh wow, it's it's wild and talking like turkey hunting

1048
00:52:48,480 --> 00:52:51,560
Speaker 9: being the the epicenter of turkey hunt culture, which I

1049
00:52:51,600 --> 00:52:55,160
Speaker 9: would argue that it is, which I'm biased, but one

1050
00:52:55,200 --> 00:52:57,480
Speaker 9: of the first, like we established a game in Fish

1051
00:52:57,520 --> 00:52:59,600
Speaker 9: Agency in nineteen thirty two, one of the first things

1052
00:52:59,640 --> 00:53:02,640
Speaker 9: they started working on was wild turkeys because loop Hold

1053
00:53:02,680 --> 00:53:05,640
Speaker 9: wrote in his report he was like, y'all have wiped

1054
00:53:05,680 --> 00:53:08,600
Speaker 9: out almost all of your turkeys. He said, I can't,

1055
00:53:08,680 --> 00:53:11,560
Speaker 9: I'll butcher it. But it was like the upland stop.

1056
00:53:11,680 --> 00:53:13,719
Speaker 9: The turkeys left in the uplands are gone. The only

1057
00:53:13,760 --> 00:53:15,640
Speaker 9: thing you have left her in the swamps because because

1058
00:53:15,719 --> 00:53:19,360
Speaker 9: humans couldn't get to them. But it's like going through

1059
00:53:19,400 --> 00:53:23,319
Speaker 9: it and like how bad. And it wasn't from a

1060
00:53:23,320 --> 00:53:25,279
Speaker 9: lot of It was during the Great Great Depression and

1061
00:53:25,400 --> 00:53:28,480
Speaker 9: people weren't uh, they're mainly just this is how I

1062
00:53:28,480 --> 00:53:32,200
Speaker 9: feed my family. But again, it's just like really trying

1063
00:53:32,200 --> 00:53:35,600
Speaker 9: to grasp how heavy of an influence we have.

1064
00:53:35,800 --> 00:53:38,640
Speaker 1: It's it's wild. What are the first episodes going to be.

1065
00:53:39,080 --> 00:53:42,040
Speaker 9: We've got one on bison, but bison in the Eastern

1066
00:53:42,120 --> 00:53:45,279
Speaker 9: United States. Oh, then we've got that one.

1067
00:53:45,320 --> 00:53:47,480
Speaker 3: Did you talk to Ted Franklin Blue I didn't.

1068
00:53:47,760 --> 00:53:50,239
Speaker 9: We referenced his book a lot. I actually talked to

1069
00:53:50,960 --> 00:53:53,840
Speaker 9: a guy named Jeremy French. He worked for Dwayne Estes.

1070
00:53:54,680 --> 00:53:58,680
Speaker 9: The coolest part of that whole process is, uh, Jeremy

1071
00:53:58,680 --> 00:54:01,640
Speaker 9: took me to a property a lot of prairie restoration.

1072
00:54:01,880 --> 00:54:03,680
Speaker 1: And I didn't know it.

1073
00:54:03,760 --> 00:54:08,600
Speaker 9: He said, he said, from the original Cumberland settlements. They

1074
00:54:08,800 --> 00:54:11,080
Speaker 9: digitized a bunch of these. They had mapped out the

1075
00:54:11,120 --> 00:54:14,640
Speaker 9: buffalo trails and so there's a place on that property.

1076
00:54:14,840 --> 00:54:16,680
Speaker 9: I mean, it looks like someone drove a bulldozer through it.

1077
00:54:16,719 --> 00:54:19,120
Speaker 9: And he said, there's your bison trail. You can still

1078
00:54:19,160 --> 00:54:22,120
Speaker 9: see it. And we walked down in there, stood in

1079
00:54:22,160 --> 00:54:25,520
Speaker 9: and it was crazy. But that was a fun episode.

1080
00:54:25,520 --> 00:54:29,359
Speaker 9: We're doing one on Bob black Quail and then the

1081
00:54:29,360 --> 00:54:32,800
Speaker 9: one that I was just talking about. I referenced Loophold

1082
00:54:32,800 --> 00:54:35,120
Speaker 9: a lot. But the subject of the story is actually

1083
00:54:35,160 --> 00:54:39,000
Speaker 9: a woman named Fanny Cook, which again I'm biased, but

1084
00:54:39,040 --> 00:54:42,000
Speaker 9: I would argue she's one of the greatest conservationists to

1085
00:54:42,000 --> 00:54:45,560
Speaker 9: ever live because she was pretty much the first wildlife

1086
00:54:45,600 --> 00:54:49,359
Speaker 9: biologist in the state of Mississippi, and she fought to

1087
00:54:49,600 --> 00:54:53,280
Speaker 9: establish the Game and Fish Commission. There's not like hard

1088
00:54:53,320 --> 00:54:55,600
Speaker 9: evidence of it, but there's reasonable evidence that she's the

1089
00:54:55,600 --> 00:54:58,920
Speaker 9: one that got Loophold to come down and make the report.

1090
00:55:00,320 --> 00:55:01,560
Speaker 9: She's a pretty incredible woman.

1091
00:55:02,719 --> 00:55:05,000
Speaker 1: Have you Has anybody in Mississippi ever gotten a full

1092
00:55:05,080 --> 00:55:07,879
Speaker 1: body mossy oak tattoo or real tattoo?

1093
00:55:08,680 --> 00:55:11,200
Speaker 9: Yeah, yes, yes there is.

1094
00:55:11,160 --> 00:55:11,839
Speaker 1: Because it's hot.

1095
00:55:12,600 --> 00:55:14,919
Speaker 3: Yeah, y'all run around and that stuff all the time.

1096
00:55:14,960 --> 00:55:18,440
Speaker 9: Anyway, somebody one time we were at a local sports

1097
00:55:18,440 --> 00:55:21,520
Speaker 9: show and like primos used to have these logos, like

1098
00:55:21,520 --> 00:55:23,840
Speaker 9: they had like these little bit of individual animal logos,

1099
00:55:24,320 --> 00:55:26,960
Speaker 9: and this dude just runs up to the Primo's booth

1100
00:55:27,000 --> 00:55:28,479
Speaker 9: that air is like check this out, and he pulls

1101
00:55:28,520 --> 00:55:30,640
Speaker 9: up a sleeve and he has the Primo's turkey logo

1102
00:55:30,760 --> 00:55:31,160
Speaker 9: on his.

1103
00:55:31,160 --> 00:55:34,440
Speaker 1: Arm, but no full body sleeve camo. So you can

1104
00:55:34,520 --> 00:55:37,719
Speaker 1: just hunt. That'd be a good idea, Just hunt the

1105
00:55:37,719 --> 00:55:43,280
Speaker 1: way God made you.

1106
00:55:43,280 --> 00:55:45,320
Speaker 7: You should start selling temporary tattoos.

1107
00:55:45,480 --> 00:55:48,160
Speaker 3: Yeah, so is your is backwards universe.

1108
00:55:48,200 --> 00:55:51,920
Speaker 1: You're gonna have like how far north will you allow

1109
00:55:51,960 --> 00:55:55,040
Speaker 1: yourself to go? Oh, I'm going like, you'll do Yankee stuff.

1110
00:55:55,080 --> 00:55:59,120
Speaker 1: Oh that's like, uh, it's just been regional right now,

1111
00:55:59,280 --> 00:56:03,680
Speaker 1: just because it's just Clay's got you know, he's got

1112
00:56:04,040 --> 00:56:06,200
Speaker 1: like you know, Clail say stuff like, well, you know,

1113
00:56:06,239 --> 00:56:08,360
Speaker 1: people in the South are very interested in music.

1114
00:56:12,280 --> 00:56:12,839
Speaker 4: You know what I mean.

1115
00:56:13,480 --> 00:56:15,520
Speaker 1: People in the South, you know, they love their families

1116
00:56:16,880 --> 00:56:19,600
Speaker 1: every day. He talks to tell you something, I'm like, oh, well,

1117
00:56:20,200 --> 00:56:26,640
Speaker 1: what about that? You know, music is very important culture.

1118
00:56:27,160 --> 00:56:29,880
Speaker 1: I'm like, yeah, I never you know a bowtown.

1119
00:56:33,600 --> 00:56:36,600
Speaker 9: Yeah no, I've actually, uh, while I've been up here,

1120
00:56:36,640 --> 00:56:39,239
Speaker 9: I've interviewed some grizzly folks. So yeah, yeah, we're not

1121
00:56:39,320 --> 00:56:40,400
Speaker 9: so you can talk to Yankees.

1122
00:56:40,520 --> 00:56:40,719
Speaker 1: Yeah.

1123
00:56:40,760 --> 00:56:44,000
Speaker 9: Oh yeah, well I'm I'm I'm trying to go continental wide.

1124
00:56:44,040 --> 00:56:47,200
Speaker 1: Yeah, okay, good not you're talking foreigners, but you will

1125
00:56:47,200 --> 00:56:51,680
Speaker 1: talk Yankees. Yeah, that's it. He draw the line there,

1126
00:56:52,520 --> 00:56:54,920
Speaker 1: and then how what what's the frequency you're shooting for

1127
00:56:55,040 --> 00:56:59,000
Speaker 1: bi weekly? Right now? Okay, good Man?

1128
00:56:59,440 --> 00:57:01,040
Speaker 3: One episode, be man.

1129
00:57:01,160 --> 00:57:02,960
Speaker 9: I think the first couple of ones anywhere between like

1130
00:57:03,000 --> 00:57:04,000
Speaker 9: thirty and forty minutes.

1131
00:57:04,520 --> 00:57:06,720
Speaker 3: And then you're gonna hear interviews.

1132
00:57:06,520 --> 00:57:09,000
Speaker 9: It's basically like we ended up landing on. It's kind

1133
00:57:09,040 --> 00:57:12,160
Speaker 9: of a bear Grease format, just just condensed. Like the

1134
00:57:12,840 --> 00:57:15,960
Speaker 9: quail episode has Wilbur in it and then a guy

1135
00:57:16,040 --> 00:57:17,040
Speaker 9: named doctor Mark McConnell.

1136
00:57:17,160 --> 00:57:19,120
Speaker 3: Yeah, because he's a big quail hunter man.

1137
00:57:19,760 --> 00:57:23,680
Speaker 9: Again such a I've known Will for over ten years

1138
00:57:23,680 --> 00:57:26,200
Speaker 9: at this point, and when he was sharing, like, because

1139
00:57:26,200 --> 00:57:28,440
Speaker 9: what I was going for is I wanted to get

1140
00:57:28,480 --> 00:57:30,840
Speaker 9: a scope from what happened to Bob White quail from

1141
00:57:30,880 --> 00:57:34,960
Speaker 9: a biologist perspective. But then like Will, like some of

1142
00:57:34,960 --> 00:57:37,720
Speaker 9: his first hunting experiences was hunting with his uncle when

1143
00:57:37,720 --> 00:57:40,000
Speaker 9: he was eight, and so like a real sense of

1144
00:57:40,040 --> 00:57:42,160
Speaker 9: what the culture was like. So you get kind of

1145
00:57:42,160 --> 00:57:46,400
Speaker 9: a balance. You get biology, but then you get hunting cultures.

1146
00:57:46,560 --> 00:57:51,280
Speaker 1: Yeah, for sure. Can I make a episode recommendation please?

1147
00:57:52,800 --> 00:57:55,560
Speaker 1: I think you should go this. I'm dead serious, Okay,

1148
00:57:55,760 --> 00:57:57,680
Speaker 1: it'd be a lot of fun. I think you should

1149
00:57:57,720 --> 00:58:03,520
Speaker 1: go to Wisconsin. Team up with Doug durn but he

1150
00:58:03,600 --> 00:58:05,320
Speaker 1: can't be all the way in it. But team up

1151
00:58:05,320 --> 00:58:12,080
Speaker 1: with Doug drn and go around bars in southwest Wisconsin

1152
00:58:12,640 --> 00:58:17,640
Speaker 1: and interview people. Interview anyone at a bar that can

1153
00:58:17,680 --> 00:58:20,600
Speaker 1: tell you about what's wrong with deer management.

1154
00:58:21,760 --> 00:58:22,720
Speaker 9: That would be interesting.

1155
00:58:22,840 --> 00:58:25,320
Speaker 1: It would be a really I think it would be

1156
00:58:25,560 --> 00:58:29,600
Speaker 1: deeply entertaining and very informative. He would get such a

1157
00:58:29,720 --> 00:58:34,880
Speaker 1: disparate view of the state of deer man, Like it

1158
00:58:34,920 --> 00:58:38,040
Speaker 1: doesn't need to be Wisconsin, but it needs to be Like,

1159
00:58:39,080 --> 00:58:40,920
Speaker 1: it needs to be someplace where there's a lot of

1160
00:58:40,960 --> 00:58:46,680
Speaker 1: factors at play, you know, like increase predation, where there's

1161
00:58:46,720 --> 00:58:50,960
Speaker 1: a lot of slot in the soup. Yeah, a lot

1162
00:58:51,040 --> 00:58:53,800
Speaker 1: of stew, you know, Like like, let's say you went

1163
00:58:53,840 --> 00:58:56,080
Speaker 1: to an area where you're kind of on the southern

1164
00:58:56,280 --> 00:59:00,960
Speaker 1: edge of wolf expansion and you got CWD in the

1165
00:59:01,040 --> 00:59:07,520
Speaker 1: mix and whatever, and do like dear biology according to

1166
00:59:07,640 --> 00:59:10,680
Speaker 1: dudes and marks sitting Man, you actually biology.

1167
00:59:11,600 --> 00:59:12,880
Speaker 4: That's a whole new podcast.

1168
00:59:12,920 --> 00:59:14,640
Speaker 9: You're kicking me down a whole line of thought because

1169
00:59:14,640 --> 00:59:17,720
Speaker 9: you could do the same thing, like again, like Southeast,

1170
00:59:17,920 --> 00:59:21,760
Speaker 9: if I went around to and was like, hey, man,

1171
00:59:22,680 --> 00:59:25,320
Speaker 9: what's going on with wild turkeys? You would get such

1172
00:59:25,360 --> 00:59:30,000
Speaker 9: a wide spectrum of biology. Man, it's the fire ants.

1173
00:59:30,360 --> 00:59:32,560
Speaker 1: But I tell people that I quit drinking.

1174
00:59:34,640 --> 00:59:36,680
Speaker 9: You would get such a widespread answers.

1175
00:59:36,720 --> 00:59:36,880
Speaker 8: Man.

1176
00:59:37,520 --> 00:59:39,200
Speaker 1: The only bummer is I don't drink. I'd have to

1177
00:59:39,240 --> 00:59:41,400
Speaker 1: go in there, like, I'm just gonna sit in there

1178
00:59:41,400 --> 00:59:45,440
Speaker 1: and drink water, hopefully come in flakes in town that

1179
00:59:45,560 --> 00:59:48,600
Speaker 1: on the bar, just hang out. I need to get

1180
00:59:48,640 --> 00:59:49,479
Speaker 1: interviewed for the show.

1181
00:59:50,160 --> 00:59:54,040
Speaker 6: Bar biology man toasted that one who must have been

1182
00:59:54,080 --> 00:59:54,960
Speaker 6: just drinking straight.

1183
00:59:55,920 --> 00:59:56,120
Speaker 5: Yeah.

1184
00:59:56,920 --> 00:59:58,920
Speaker 3: I was like, he's so high. I'm like, no, I'm not.

1185
01:00:03,000 --> 01:00:05,480
Speaker 1: Yeah, that'd be a good one. And my work is

1186
01:00:05,480 --> 01:00:07,200
Speaker 1: so good, you could do more, but yeah, just like,

1187
01:00:07,240 --> 01:00:09,200
Speaker 1: hey man, what's like if you went in and chill.

1188
01:00:10,040 --> 01:00:13,000
Speaker 1: Don't go on a weekend, don't go way late, don't

1189
01:00:13,000 --> 01:00:15,160
Speaker 1: go megal late. You want the dudes that are in

1190
01:00:15,160 --> 01:00:21,080
Speaker 1: there eight pm, post dinner, pre right, the happy Yeah, yeah,

1191
01:00:21,440 --> 01:00:23,320
Speaker 1: go and chill and be like, hey man, I'm just

1192
01:00:23,360 --> 01:00:25,680
Speaker 1: trying to get I'm just trying to.

1193
01:00:25,640 --> 01:00:26,800
Speaker 3: Get everybody's perspectives.

1194
01:00:27,240 --> 01:00:29,040
Speaker 1: I'd love to I'm trying to just get Like, I

1195
01:00:29,040 --> 01:00:30,560
Speaker 1: don't want the agency guys.

1196
01:00:30,600 --> 01:00:32,360
Speaker 3: I don't want the government guys. I want to hear

1197
01:00:32,400 --> 01:00:33,000
Speaker 3: the guys on.

1198
01:00:32,960 --> 01:00:35,960
Speaker 4: The ground, the guys in the field.

1199
01:00:35,960 --> 01:00:37,200
Speaker 3: The guys in the field.

1200
01:00:37,560 --> 01:00:42,400
Speaker 1: Leaning in the bar, the guys that were once in

1201
01:00:42,440 --> 01:00:45,040
Speaker 1: the field, Like, what's going on, man, what's going on

1202
01:00:45,080 --> 01:00:52,520
Speaker 1: with turkeys? Yeah, bulbs, collar residents, poachers, fishing, game man.

1203
01:00:52,560 --> 01:00:54,920
Speaker 4: This sounds like my average call with a landowner.

1204
01:00:56,960 --> 01:01:00,920
Speaker 1: Yeah, let's talk about that. Let's talk about what you

1205
01:01:00,960 --> 01:01:03,320
Speaker 1: do as a resource tech. But hit me with the

1206
01:01:03,400 --> 01:01:09,160
Speaker 1: dates and everything. Lake Pickles Backwards University, June sixth, Bear

1207
01:01:09,200 --> 01:01:10,640
Speaker 1: Grease podcast feed.

1208
01:01:12,640 --> 01:01:14,680
Speaker 9: Tune in and video on YouTube.

1209
01:01:15,120 --> 01:01:18,360
Speaker 1: Learn all kinds of stuff about what uh wildlife. Yeah,

1210
01:01:18,440 --> 01:01:21,200
Speaker 1: let's starting with the quail, starting with me and Crinn

1211
01:01:21,240 --> 01:01:22,720
Speaker 1: or in hot Water with the quail community.

1212
01:01:23,440 --> 01:01:27,720
Speaker 5: I've I've heard I've heard is that the quail community

1213
01:01:27,720 --> 01:01:30,720
Speaker 5: should listen to your two episodes because.

1214
01:01:30,400 --> 01:01:32,560
Speaker 1: We did a thing and we had a guy on.

1215
01:01:32,960 --> 01:01:35,360
Speaker 1: It was a guy that knows what's wrong with quail

1216
01:01:36,200 --> 01:01:37,280
Speaker 1: and and there's a.

1217
01:01:39,040 --> 01:01:41,280
Speaker 9: It's a rich stew I talk I talked to the

1218
01:01:41,320 --> 01:01:44,840
Speaker 9: biologist about it. Yeah, yeah, it's a yeah. I'm aware.

1219
01:01:45,360 --> 01:01:48,000
Speaker 8: All the people wrote in from their barstools, ye, to

1220
01:01:48,080 --> 01:01:49,360
Speaker 8: let us know we had a guy.

1221
01:01:50,040 --> 01:01:57,400
Speaker 1: There's a just there's a an alarming decline in Bob

1222
01:01:57,400 --> 01:01:59,240
Speaker 1: White quail numbers which has been going on for a

1223
01:01:59,360 --> 01:02:03,480
Speaker 1: long time across an enormous geographic area. We had a

1224
01:02:03,520 --> 01:02:08,840
Speaker 1: person on talking about his feelings about what's happening to

1225
01:02:08,920 --> 01:02:13,160
Speaker 1: quail in a in a relatively isolated geographic area, and

1226
01:02:13,280 --> 01:02:17,400
Speaker 1: has a solution, has a proposed solution that, in some

1227
01:02:17,800 --> 01:02:22,240
Speaker 1: people's minds does not adequately address the root cause, and

1228
01:02:22,320 --> 01:02:29,600
Speaker 1: to hear him out is bad. Right.

1229
01:02:29,840 --> 01:02:34,760
Speaker 9: Yeah, yeah, pretty much sums it up. Yeah, I did

1230
01:02:34,840 --> 01:02:38,440
Speaker 9: learn you want the first noted declines that they can

1231
01:02:38,680 --> 01:02:41,280
Speaker 9: find in the in the North America? You know what

1232
01:02:41,320 --> 01:02:45,640
Speaker 9: it was? You tell me where you know when? Like

1233
01:02:45,720 --> 01:02:47,880
Speaker 9: when the first notable declines a bob whait.

1234
01:02:47,760 --> 01:02:51,120
Speaker 3: Quail, barroom declines or like declined decline.

1235
01:02:51,160 --> 01:02:53,440
Speaker 9: It's from the from the biologist, Like.

1236
01:02:55,840 --> 01:02:56,680
Speaker 1: What's the question again?

1237
01:02:56,880 --> 01:03:02,080
Speaker 9: When were the first noted declines? Like yes, just yeah,

1238
01:03:04,000 --> 01:03:11,120
Speaker 9: nineteen twenty eighteen, ninety wow, industrial revolution. But yeah those

1239
01:03:11,160 --> 01:03:13,000
Speaker 9: people now if you want to go back to the

1240
01:03:13,000 --> 01:03:16,240
Speaker 9: barroom side, he's like everyone normally says nineteen sixty six,

1241
01:03:16,440 --> 01:03:20,680
Speaker 9: but that they started doing brood surveys in the nineteen sixties.

1242
01:03:20,320 --> 01:03:21,240
Speaker 2: So that's why we say that.

1243
01:03:22,320 --> 01:03:23,800
Speaker 7: So where does the data come from?

1244
01:03:24,080 --> 01:03:24,960
Speaker 1: But I don't know, I.

1245
01:03:25,040 --> 01:03:27,520
Speaker 9: Have to go back and listen to anything, or you

1246
01:03:27,600 --> 01:03:28,520
Speaker 9: just learned this the other day.

1247
01:03:28,640 --> 01:03:31,760
Speaker 1: Yeah, yeah, barstool biology. And they hope we.

1248
01:03:31,760 --> 01:03:34,120
Speaker 3: Don't get sued by Barstool Sports. No, it's bar bier.

1249
01:03:34,880 --> 01:03:39,520
Speaker 1: Yeahool. He's a kind of anti hunter, is he. I've

1250
01:03:39,520 --> 01:03:41,040
Speaker 1: always wanted to have him on. Dave Portnoy.

1251
01:03:41,200 --> 01:03:42,560
Speaker 9: Oh, I don't know who he is. I didn't know

1252
01:03:42,560 --> 01:03:45,120
Speaker 9: his anti hunter what I like Barstool Outdoors and all that.

1253
01:03:45,480 --> 01:03:47,840
Speaker 1: Well, Portnoy is kind of I guess he like Uh.

1254
01:03:48,040 --> 01:03:50,600
Speaker 1: I think he's kind of like waffles on the edge

1255
01:03:50,600 --> 01:03:55,120
Speaker 1: of the Maine society kind of stuff. I look to

1256
01:03:55,200 --> 01:03:56,240
Speaker 1: him on if you're listening.

1257
01:03:56,880 --> 01:04:00,560
Speaker 3: Probably not if he was never.

1258
01:04:02,200 --> 01:04:04,920
Speaker 1: Do Yeah, we'll get like if Dave comes on. If

1259
01:04:04,960 --> 01:04:07,640
Speaker 1: you come on, I'll buy you. I'll take you around

1260
01:04:07,760 --> 01:04:10,080
Speaker 1: and get off pizza. Yeah, I'll take you.

1261
01:04:10,400 --> 01:04:12,360
Speaker 2: Probably isn't pizza reviews and Bozeman.

1262
01:04:12,520 --> 01:04:14,440
Speaker 1: No, you can do like a whole dude. Come on.

1263
01:04:14,680 --> 01:04:15,640
Speaker 4: You know who loves pizza.

1264
01:04:15,720 --> 01:04:19,200
Speaker 9: People in the South, that Southern folks.

1265
01:04:19,280 --> 01:04:20,560
Speaker 1: Yeah, they don't need pizza down there.

1266
01:04:20,560 --> 01:04:22,880
Speaker 9: I don't know about Yankees, but southern Southern, the South, Yeah,

1267
01:04:22,880 --> 01:04:23,400
Speaker 9: they love it.

1268
01:04:23,960 --> 01:04:25,080
Speaker 3: You know you guys are on too.

1269
01:04:25,560 --> 01:04:27,360
Speaker 1: Is boiling and peanuts?

1270
01:04:27,960 --> 01:04:30,480
Speaker 9: Oh man, I didn't even know that was unique to

1271
01:04:30,600 --> 01:04:32,440
Speaker 9: us until there was someone from out of town that

1272
01:04:32,560 --> 01:04:35,360
Speaker 9: was like boiled I was like that, Yeah, I had

1273
01:04:35,400 --> 01:04:35,760
Speaker 9: no idea.

1274
01:04:36,880 --> 01:04:39,320
Speaker 1: I remember going to South Carolina and the guy I

1275
01:04:39,400 --> 01:04:42,600
Speaker 1: was with pull over and get up hot, sopping, wet,

1276
01:04:42,720 --> 01:04:43,520
Speaker 1: steamy bag.

1277
01:04:44,920 --> 01:04:46,200
Speaker 7: They're so good there.

1278
01:04:47,480 --> 01:04:48,280
Speaker 3: That's good man.

1279
01:04:48,480 --> 01:04:50,560
Speaker 9: So there's a fella that used to have he had

1280
01:04:50,560 --> 01:04:52,280
Speaker 9: a setup and you had to drive right past him

1281
01:04:52,280 --> 01:04:53,960
Speaker 9: if you're going to the local sport in good store.

1282
01:04:54,280 --> 01:04:56,960
Speaker 9: He had his old pickup truck. He'd have him a

1283
01:04:56,960 --> 01:04:59,120
Speaker 9: little pop up ten out there and he'd be boiling

1284
01:04:59,200 --> 01:05:02,200
Speaker 9: peanuts with how the pinos in him and you pull

1285
01:05:02,280 --> 01:05:03,680
Speaker 9: up to him, you roll down in the window and

1286
01:05:03,760 --> 01:05:05,200
Speaker 9: he'd walk up to you and he'd tell you want

1287
01:05:05,200 --> 01:05:06,840
Speaker 9: a big fat bag or a little fat bag?

1288
01:05:08,400 --> 01:05:09,600
Speaker 4: An you wear a trench coat?

1289
01:05:10,120 --> 01:05:15,480
Speaker 9: Oh yeah, yeah, yeah, all right, old traffer Kate.

1290
01:05:15,840 --> 01:05:17,080
Speaker 3: Yeah, thanks for coming on man.

1291
01:05:16,960 --> 01:05:17,440
Speaker 1: I appreciate it.

1292
01:05:17,480 --> 01:05:18,440
Speaker 4: Yeah, thanks for the invite.

1293
01:05:18,560 --> 01:05:19,840
Speaker 1: No, well, I just like I said, I just want

1294
01:05:19,880 --> 01:05:20,960
Speaker 1: to talk to because you like trapping.

1295
01:05:21,080 --> 01:05:21,280
Speaker 4: Yep.

1296
01:05:21,600 --> 01:05:23,919
Speaker 1: But first tell me what do you do at Kansas State?

1297
01:05:24,320 --> 01:05:28,880
Speaker 4: Yeah? So I'm a I'm a research technician, so doing

1298
01:05:28,920 --> 01:05:31,919
Speaker 4: out in the field, doing the down and dirty work

1299
01:05:32,240 --> 01:05:35,400
Speaker 4: for all the all the research projects. And started on

1300
01:05:35,520 --> 01:05:39,720
Speaker 4: an ELK survey when I first got into town, moved

1301
01:05:39,760 --> 01:05:41,040
Speaker 4: over to flying squirrels.

1302
01:05:41,640 --> 01:05:43,520
Speaker 1: Really, yeah, is that a demotion?

1303
01:05:44,880 --> 01:05:50,560
Speaker 4: You know, it depends who you ask. I think it was.

1304
01:05:50,800 --> 01:05:52,480
Speaker 4: It was cool. I mean, flying squirrels are cool.

1305
01:05:52,560 --> 01:05:54,880
Speaker 3: Yeah, tell me something about flying squirrels. I don't really

1306
01:05:54,920 --> 01:05:55,680
Speaker 3: know much about.

1307
01:05:55,480 --> 01:06:02,400
Speaker 4: Them, A few people do. But they love suitcakes. So

1308
01:06:02,440 --> 01:06:04,280
Speaker 4: that's how we would bait them in for the cameras,

1309
01:06:04,640 --> 01:06:05,800
Speaker 4: peanut butter suit cakes.

1310
01:06:05,920 --> 01:06:06,960
Speaker 1: So they'll eat meat.

1311
01:06:08,280 --> 01:06:11,360
Speaker 4: Well, I guess that's an interesting.

1312
01:06:10,880 --> 01:06:15,040
Speaker 3: Well they'll get onto Martin sets.

1313
01:06:15,360 --> 01:06:19,200
Speaker 4: Oh yeah, yeah, yeah, and all I think all squirrels

1314
01:06:19,200 --> 01:06:23,600
Speaker 4: are kind of opportunistic omnivores in that way. But yeah, suitcakes,

1315
01:06:24,200 --> 01:06:26,880
Speaker 4: and we would do camera traps to try to survey

1316
01:06:26,920 --> 01:06:30,200
Speaker 4: him during the summer. And then uh, sort of a

1317
01:06:30,760 --> 01:06:33,320
Speaker 4: nest box kind of setup to get get colonies in

1318
01:06:33,360 --> 01:06:34,919
Speaker 4: the winter. And that's when you go in and tag

1319
01:06:34,960 --> 01:06:38,800
Speaker 4: them because they're all holed up together and nest boxes

1320
01:06:38,800 --> 01:06:40,360
Speaker 4: and so yeah, you just kind of sneak up to

1321
01:06:40,400 --> 01:06:44,640
Speaker 4: the box cover the entrance. Oh gosh, there could be

1322
01:06:44,760 --> 01:06:48,439
Speaker 4: like five or six I think, yeah, Oh my gosh.

1323
01:06:48,520 --> 01:06:52,680
Speaker 4: They are adorable, the big old eyes. But yeah, and

1324
01:06:52,720 --> 01:06:55,840
Speaker 4: then uh, and then I got moved over to Uh,

1325
01:06:55,880 --> 01:06:59,720
Speaker 4: the Turkey Project in September of twenty three, so I've

1326
01:06:59,720 --> 01:07:01,120
Speaker 4: been doing that, doing that since then.

1327
01:07:01,240 --> 01:07:02,280
Speaker 1: And what's that look at?

1328
01:07:02,680 --> 01:07:07,720
Speaker 4: Oh gosh, everything. So it's statewide and we're looking at

1329
01:07:08,440 --> 01:07:11,800
Speaker 4: resource selection just kind of general landscape scale. Where are

1330
01:07:11,800 --> 01:07:14,720
Speaker 4: they going, what are they like, what does it look

1331
01:07:14,800 --> 01:07:19,200
Speaker 4: like they're preferentially kind of selecting for roof tree selection?

1332
01:07:19,720 --> 01:07:24,200
Speaker 4: Oh yeah, which is actually pretty interesting seeing the the

1333
01:07:24,240 --> 01:07:26,560
Speaker 4: difference between like the western side of the state is

1334
01:07:26,640 --> 01:07:29,880
Speaker 4: kind of across that longitudinal gradient you.

1335
01:07:29,840 --> 01:07:32,680
Speaker 1: Mean in what in what types of trees they want

1336
01:07:32,680 --> 01:07:33,560
Speaker 1: to be in, the.

1337
01:07:33,480 --> 01:07:37,360
Speaker 4: Height of the tree, the diameter of the tree, the species,

1338
01:07:37,560 --> 01:07:39,680
Speaker 4: like everything kind of there.

1339
01:07:39,760 --> 01:07:42,200
Speaker 1: So we're doing in that area. How apt is a

1340
01:07:43,760 --> 01:07:47,400
Speaker 1: how apt is a Turkey to use the same tree

1341
01:07:47,400 --> 01:07:48,240
Speaker 1: two nights in a row?

1342
01:07:48,800 --> 01:07:55,280
Speaker 4: Oh gosh. It depends on the region, because the farther

1343
01:07:55,320 --> 01:07:58,400
Speaker 4: west you go, the fewer their options are for like

1344
01:07:58,440 --> 01:08:04,760
Speaker 4: a suitable side and just anything that's like that can

1345
01:08:04,840 --> 01:08:08,760
Speaker 4: reasonably hold, So they're more they have more roost fidelity

1346
01:08:09,280 --> 01:08:11,040
Speaker 4: in the west versus the east.

1347
01:08:10,840 --> 01:08:13,880
Speaker 1: I could put that's like just observationally, that's been my

1348
01:08:13,920 --> 01:08:16,000
Speaker 1: finding where I mean it's kind of obvious, but places

1349
01:08:16,120 --> 01:08:20,120
Speaker 1: there's not any trees yep. And they're down in Sonora, Mexico,

1350
01:08:20,200 --> 01:08:22,280
Speaker 1: where there's just the only possible roof trees of.

1351
01:08:22,280 --> 01:08:24,360
Speaker 3: Sycamore growth in a canyon bottom.

1352
01:08:24,439 --> 01:08:24,599
Speaker 8: Yeah.

1353
01:08:24,640 --> 01:08:27,920
Speaker 1: So like no kitten, Yeah, like because within ten miles

1354
01:08:27,960 --> 01:08:30,720
Speaker 1: there's it's just the sycamore group. And so they're like

1355
01:08:30,760 --> 01:08:33,160
Speaker 1: a magnet. But we hunted in Colorado this year and

1356
01:08:33,160 --> 01:08:37,760
Speaker 1: got to kind of wash different groups. I mean they

1357
01:08:37,760 --> 01:08:42,679
Speaker 1: would be they would be eight hundred yards, nine hundred

1358
01:08:42,720 --> 01:08:46,760
Speaker 1: yards these different groups every day, like no sense of

1359
01:08:46,800 --> 01:08:49,440
Speaker 1: going back to where it came from. Yeah, but there's tons.

1360
01:08:49,200 --> 01:08:52,400
Speaker 4: Upon us, so many, so many options. Yeah, so that's

1361
01:08:52,439 --> 01:08:55,320
Speaker 4: kind of that is kind of what what we're seeing there.

1362
01:08:56,680 --> 01:08:56,920
Speaker 1: Yeah.

1363
01:08:56,960 --> 01:08:59,320
Speaker 4: When they have like the when you're when you're in

1364
01:08:59,360 --> 01:09:02,400
Speaker 4: like the the bigger kind of woodlots or bigger, bigger

1365
01:09:02,479 --> 01:09:05,800
Speaker 4: creek bottoms, river bottoms in the east, they'll kind of

1366
01:09:05,840 --> 01:09:08,360
Speaker 4: move around a little bit on a rotation or just

1367
01:09:08,479 --> 01:09:11,120
Speaker 4: kind of have they'll bust bust off into like different

1368
01:09:11,160 --> 01:09:14,519
Speaker 4: groups within one flock and kind of end up on

1369
01:09:14,560 --> 01:09:15,960
Speaker 4: different roots each night.

1370
01:09:16,040 --> 01:09:17,559
Speaker 3: Do you guys go find out what killed them when

1371
01:09:17,600 --> 01:09:17,960
Speaker 3: they die?

1372
01:09:18,240 --> 01:09:22,439
Speaker 4: Oh, that's impossible, it is they get scavenged so hard,

1373
01:09:22,560 --> 01:09:26,160
Speaker 4: so fast. Huh, it's really hard to tell, like what

1374
01:09:26,320 --> 01:09:28,240
Speaker 4: exactly got them.

1375
01:09:28,320 --> 01:09:29,200
Speaker 1: That's a tough one.

1376
01:09:29,280 --> 01:09:32,599
Speaker 4: It's so hard. Same with the nests, Like they get

1377
01:09:32,600 --> 01:09:36,880
Speaker 4: scavenged so fast that trying to pinpoint exactly why a

1378
01:09:36,960 --> 01:09:40,200
Speaker 4: nest failed or if it was actually predated or if

1379
01:09:40,200 --> 01:09:43,719
Speaker 4: it was just abandoned and then scavenged afterwards, like unless

1380
01:09:43,760 --> 01:09:46,960
Speaker 4: you're literally sitting there like twenty four to seven watching

1381
01:09:47,000 --> 01:09:50,080
Speaker 4: that nest, it's it's almost impossible to tell. You can

1382
01:09:50,160 --> 01:09:53,280
Speaker 4: kind of tell, like what eight the a like if

1383
01:09:53,320 --> 01:09:55,680
Speaker 4: the egg was eaten, Like if you just find like

1384
01:09:55,720 --> 01:09:58,000
Speaker 4: eggs shell, you can kind of tell what ate it, Okay,

1385
01:09:58,200 --> 01:10:00,800
Speaker 4: but whether or not it was like the abandoned it

1386
01:10:00,920 --> 01:10:02,960
Speaker 4: first and then something else found it.

1387
01:10:03,080 --> 01:10:06,480
Speaker 3: Yeah, yeah, after she got killed and therefore.

1388
01:10:06,280 --> 01:10:08,600
Speaker 4: She got killed or she just some we've noticed that

1389
01:10:08,640 --> 01:10:11,839
Speaker 4: they just sometimes they just walk away because what would.

1390
01:10:11,680 --> 01:10:14,439
Speaker 1: Cause me to do that? We're not sure they'll ditch it.

1391
01:10:14,520 --> 01:10:16,920
Speaker 4: They'll just ditch it. Yeah, but you feel like a

1392
01:10:16,960 --> 01:10:18,400
Speaker 4: couple eggs and then just ditch it.

1393
01:10:18,479 --> 01:10:20,880
Speaker 1: Yeah, too stressful or who knows?

1394
01:10:21,200 --> 01:10:25,759
Speaker 4: Yeah, who knows. Yeah, it's it's interesting, but yeah.

1395
01:10:25,600 --> 01:10:27,519
Speaker 1: I never knew. I didn't realize that the forensics is

1396
01:10:27,560 --> 01:10:28,400
Speaker 1: tough on turkeys.

1397
01:10:28,520 --> 01:10:31,559
Speaker 4: It is so tough. I mean, they're like there's such

1398
01:10:31,640 --> 01:10:34,920
Speaker 4: a nice little snack for just about anything that you know,

1399
01:10:35,200 --> 01:10:37,800
Speaker 4: if they're out there longer than twenty four hours before

1400
01:10:37,840 --> 01:10:42,000
Speaker 4: you get there, it's the odds of something finding finding

1401
01:10:42,040 --> 01:10:43,000
Speaker 4: the body.

1402
01:10:43,800 --> 01:10:46,439
Speaker 1: Yeah, because you show up some possums sitting there. That

1403
01:10:46,479 --> 01:10:47,719
Speaker 1: doesn't tell you what happened.

1404
01:10:47,800 --> 01:10:50,600
Speaker 4: Yeah you don't, yeah, exactly. Yeah. So that's why, like

1405
01:10:51,400 --> 01:10:53,920
Speaker 4: a lot of studies people are like wanting to put

1406
01:10:54,040 --> 01:10:57,160
Speaker 4: cameras on the nest, but just like having that camera

1407
01:10:57,200 --> 01:10:59,760
Speaker 4: there and the smell of the camera and stuff, is

1408
01:11:00,280 --> 01:11:03,639
Speaker 4: that that increases the risk of predation because a lot

1409
01:11:03,640 --> 01:11:06,040
Speaker 4: of predators were actually key in on that little bit

1410
01:11:06,080 --> 01:11:08,519
Speaker 4: of human scent, Like they'll key in on the scent

1411
01:11:08,600 --> 01:11:11,479
Speaker 4: of like another predator in that like one specific spot,

1412
01:11:11,560 --> 01:11:14,559
Speaker 4: and they they like actually learned like, okay, there's there's

1413
01:11:14,560 --> 01:11:17,400
Speaker 4: something there. And so you're increasing the risk of predation

1414
01:11:17,520 --> 01:11:20,360
Speaker 4: on this nest by putting a camera there. But that's

1415
01:11:20,400 --> 01:11:23,200
Speaker 4: really the only way to know exactly what happened. So

1416
01:11:23,240 --> 01:11:26,400
Speaker 4: it's we're kind of stuck in a dead zone there

1417
01:11:27,520 --> 01:11:30,479
Speaker 4: not really being able to exactly say what happened.

1418
01:11:30,920 --> 01:11:35,400
Speaker 1: I've talked to guys that work on collaring studies where

1419
01:11:35,439 --> 01:11:39,960
Speaker 1: they're collaring you know, big game animals with big visible collars. Yeah,

1420
01:11:40,040 --> 01:11:42,960
Speaker 1: that are probably hard to get used to. Yeah, and

1421
01:11:44,400 --> 01:11:47,040
Speaker 1: it's i mean a factor in and it's an open question.

1422
01:11:47,880 --> 01:11:52,559
Speaker 1: But once you do that, how accurate is the mortality study? Yeah,

1423
01:11:52,600 --> 01:11:56,400
Speaker 1: because when something's chasing or whatever, or they recognize like

1424
01:11:56,439 --> 01:11:59,880
Speaker 1: something's wrong with something different. Yeah, it's like, however they

1425
01:12:00,080 --> 01:12:01,080
Speaker 1: read that collar.

1426
01:12:01,400 --> 01:12:04,840
Speaker 4: Yeah. Yeah, So we have on the hens that we're

1427
01:12:05,160 --> 01:12:08,720
Speaker 4: we're tagging, we have backpack transmitters and they're you know,

1428
01:12:08,720 --> 01:12:11,760
Speaker 4: they're slick, and they're they're black, Like they're not they're

1429
01:12:11,800 --> 01:12:15,320
Speaker 4: not obvious. But you have to be careful about like

1430
01:12:15,360 --> 01:12:18,680
Speaker 4: how it affects the movement of that hen, Like you

1431
01:12:18,760 --> 01:12:21,240
Speaker 4: have to make sure she has full extension of her wings,

1432
01:12:21,479 --> 01:12:23,920
Speaker 4: Like it's not you only only put them on hens

1433
01:12:23,920 --> 01:12:26,640
Speaker 4: that are hefty enough, Like it can't be over a

1434
01:12:26,680 --> 01:12:30,200
Speaker 4: certain percent of their body weight. Otherwise, like it's going

1435
01:12:30,280 --> 01:12:32,080
Speaker 4: to impact their ability to get up in a roost

1436
01:12:32,080 --> 01:12:34,000
Speaker 4: and it's just gonna wear on them, like having that

1437
01:12:34,280 --> 01:12:38,240
Speaker 4: walking around with that weight. But we also we also

1438
01:12:38,439 --> 01:12:40,960
Speaker 4: ditch all the data from anything that dies within two

1439
01:12:40,960 --> 01:12:44,280
Speaker 4: weeks of capture, So that like if it's a mortality

1440
01:12:44,320 --> 01:12:48,000
Speaker 4: that could be directly related to either capture stress or

1441
01:12:48,080 --> 01:12:50,400
Speaker 4: like something to do with the transmitter, like yeah.

1442
01:12:51,439 --> 01:12:53,479
Speaker 1: Yeah, yeah, and it starts to dress what I'm getting

1443
01:12:53,479 --> 01:12:55,080
Speaker 1: at that you could just never get used to it.

1444
01:12:55,320 --> 01:12:58,759
Speaker 4: Yeah. Yeah, So that's that's typical with any kind of collaring,

1445
01:12:59,439 --> 01:13:01,640
Speaker 4: any kind of bagging study. Is like, if you have

1446
01:13:01,680 --> 01:13:05,960
Speaker 4: a mortality within a certain window of time after the capture,

1447
01:13:06,360 --> 01:13:09,200
Speaker 4: you just omit it from the data because you just

1448
01:13:09,200 --> 01:13:11,040
Speaker 4: write it off as a capture related mortality.

1449
01:13:11,120 --> 01:13:13,160
Speaker 1: They freaked it out too bad or yeah.

1450
01:13:12,960 --> 01:13:16,280
Speaker 4: They can get like capture myopathy just like their their

1451
01:13:16,360 --> 01:13:20,639
Speaker 4: muscles just melt basically in the stress. Yeah, and they

1452
01:13:20,720 --> 01:13:22,839
Speaker 4: just kind of they just kind of can't move anymore.

1453
01:13:26,360 --> 01:13:28,479
Speaker 1: You know what I'm remembering right now, And I meant

1454
01:13:28,479 --> 01:13:31,400
Speaker 1: to put it on Instagram, but like I totally forgot

1455
01:13:31,400 --> 01:13:33,600
Speaker 1: about till you just said it to me is a

1456
01:13:33,680 --> 01:13:37,439
Speaker 1: guy wrote us, wrote us in and he had been

1457
01:13:37,479 --> 01:13:42,240
Speaker 1: out hunting and found a turkey nest. Yeah, and put

1458
01:13:42,280 --> 01:13:45,360
Speaker 1: a camera on it. And man, do you remember did you?

1459
01:13:45,520 --> 01:13:48,320
Speaker 1: Has everybody seen this video? Oh?

1460
01:13:48,400 --> 01:13:49,880
Speaker 2: I don't think I have I don't know what.

1461
01:13:49,840 --> 01:13:52,679
Speaker 1: It was, like twelve hours later, there's a kyote stander

1462
01:13:52,680 --> 01:13:54,400
Speaker 1: eating all those yeah right away.

1463
01:13:54,640 --> 01:13:58,200
Speaker 4: Yeah, yeah, and uh so, uh so part of this

1464
01:13:58,600 --> 01:14:03,960
Speaker 4: part of the study is a wide scale camera, wide

1465
01:14:03,960 --> 01:14:07,080
Speaker 4: scale camera survey for predators. And this is like not

1466
01:14:07,160 --> 01:14:10,559
Speaker 4: related to the turkey location. So we're just based on

1467
01:14:10,600 --> 01:14:14,439
Speaker 4: the capture locations. We're doing like a broad kind of placement,

1468
01:14:14,560 --> 01:14:17,200
Speaker 4: random placement of cameras around the capture sites just to

1469
01:14:17,280 --> 01:14:20,800
Speaker 4: kind of see what the predator communities are in those areas. Yeah,

1470
01:14:20,920 --> 01:14:23,400
Speaker 4: and then we'll try to kind of see if there's

1471
01:14:23,400 --> 01:14:26,599
Speaker 4: a correlation between what the predator communities look like and

1472
01:14:26,680 --> 01:14:28,839
Speaker 4: what happened to those tur like what kind of patterns

1473
01:14:28,840 --> 01:14:31,840
Speaker 4: we saw in the turkeys in those areas. But I

1474
01:14:32,000 --> 01:14:36,839
Speaker 4: noticed going through I mean, we have six hundred plus

1475
01:14:36,880 --> 01:14:41,160
Speaker 4: camera sites per survey season and we're on our third now,

1476
01:14:41,240 --> 01:14:45,080
Speaker 4: so there's i mean over five hundred thousand photos at

1477
01:14:45,080 --> 01:14:47,880
Speaker 4: this point. And I noticed going through those photos that

1478
01:14:48,280 --> 01:14:51,519
Speaker 4: immediately after the cameras would be deployed, like if there

1479
01:14:51,600 --> 01:14:54,040
Speaker 4: was gonna be a bobcat on that camera, it was

1480
01:14:54,200 --> 01:14:57,960
Speaker 4: usually like that night, like what is that they just smell?

1481
01:14:58,120 --> 01:14:59,439
Speaker 1: Why is it not repelling them.

1482
01:15:00,080 --> 01:15:04,200
Speaker 4: Their cats are cats especially are so curious, like coyotes

1483
01:15:04,240 --> 01:15:07,439
Speaker 4: are a little more wary. And this is actually a

1484
01:15:07,439 --> 01:15:10,080
Speaker 4: big thing with trapping, like cat trapping versus coyote trapping.

1485
01:15:10,160 --> 01:15:12,679
Speaker 4: You can be really flashy with cats and they'll they'll

1486
01:15:12,680 --> 01:15:15,560
Speaker 4: come in because they they're more prone to just investigate.

1487
01:15:15,120 --> 01:15:16,120
Speaker 1: Something got on here.

1488
01:15:16,240 --> 01:15:19,400
Speaker 4: They have a lot more confidence. So when they like

1489
01:15:19,479 --> 01:15:22,519
Speaker 4: smell that human scent in a random area that they

1490
01:15:22,520 --> 01:15:25,400
Speaker 4: don't normally smell it, like they come right.

1491
01:15:24,800 --> 01:15:27,080
Speaker 1: In some association with humans and food.

1492
01:15:27,400 --> 01:15:31,360
Speaker 4: Yeah, or they're just like like just curious. Yeah. So

1493
01:15:31,600 --> 01:15:35,000
Speaker 4: I noticed that, like really quickly. I'm like the first

1494
01:15:35,000 --> 01:15:37,240
Speaker 4: thing on most of these cameras, Like if there's gonna

1495
01:15:37,240 --> 01:15:39,360
Speaker 4: be if there's a cat on it, it's gonna be

1496
01:15:39,439 --> 01:15:42,600
Speaker 4: like the first thing that's on there. It's really interesting.

1497
01:15:43,000 --> 01:15:47,040
Speaker 1: Have you ever had the ethical issue of you got

1498
01:15:47,040 --> 01:15:51,000
Speaker 1: all these turkeys running around? How do you view that

1499
01:15:51,080 --> 01:15:53,320
Speaker 1: it would influence your hunting activities?

1500
01:15:53,320 --> 01:15:55,600
Speaker 4: Oh? My god, I I don't pay attention to it

1501
01:15:55,680 --> 01:15:59,439
Speaker 4: at all, Like I have. I did so much turkey hunting,

1502
01:15:59,800 --> 01:16:02,679
Speaker 4: but I got on this project that I like already

1503
01:16:02,720 --> 01:16:06,000
Speaker 4: had spots picked out and stuff on public to where

1504
01:16:06,439 --> 01:16:09,759
Speaker 4: you know, it's far removed from anywhere we have turkeys tagged,

1505
01:16:10,120 --> 01:16:12,320
Speaker 4: and I have like no desire to go anywhere near

1506
01:16:12,360 --> 01:16:16,120
Speaker 4: those tag turkeys. So yeah, I just I hunt the

1507
01:16:16,160 --> 01:16:18,639
Speaker 4: spots that I found, you know, way before I got involved,

1508
01:16:18,640 --> 01:16:20,680
Speaker 4: no insider trading I got.

1509
01:16:20,800 --> 01:16:23,240
Speaker 1: I got a friend that worked on he's worked on

1510
01:16:23,280 --> 01:16:26,559
Speaker 1: some wolf collaring project. He's a pilot. Yeah, he has

1511
01:16:26,600 --> 01:16:29,599
Speaker 1: no access to the data, but he's a pilot for

1512
01:16:29,680 --> 01:16:30,040
Speaker 1: the thing.

1513
01:16:30,160 --> 01:16:31,000
Speaker 3: Uh huh.

1514
01:16:31,080 --> 01:16:34,240
Speaker 1: But he's also a wolf trapper. Yeah, and he says, Man,

1515
01:16:34,320 --> 01:16:36,639
Speaker 1: I go the other direction. Yeah, because I don't even

1516
01:16:36,640 --> 01:16:39,679
Speaker 1: have access, but just what people will say, Yeah, because

1517
01:16:39,720 --> 01:16:42,280
Speaker 1: I don't anything that happened when I worked on that.

1518
01:16:42,360 --> 01:16:44,360
Speaker 1: I go the other way because just perception.

1519
01:16:44,560 --> 01:16:47,439
Speaker 4: Yeah, and just for me, like I wouldn't. I would

1520
01:16:47,439 --> 01:16:50,479
Speaker 4: be kind of bummed. Like if I shot a tom

1521
01:16:50,520 --> 01:16:52,120
Speaker 4: and it had a tag on it that I'm like,

1522
01:16:52,160 --> 01:16:55,480
Speaker 4: I could have tagged that for sure. Yeah.

1523
01:16:55,760 --> 01:16:57,439
Speaker 3: You know what's puzzling is.

1524
01:17:00,040 --> 01:17:01,600
Speaker 1: I've brought this up a bunch of times over the

1525
01:17:01,680 --> 01:17:04,559
Speaker 1: years that like, like would you shoot a if you

1526
01:17:04,600 --> 01:17:07,200
Speaker 1: saw a collared white tail? Would you want to shoot

1527
01:17:07,200 --> 01:17:07,760
Speaker 1: a collar deer?

1528
01:17:09,360 --> 01:17:12,680
Speaker 4: Being like where I am now, like actually involved in

1529
01:17:13,520 --> 01:17:18,439
Speaker 4: the kind of wildlife tagging business. I don't I would

1530
01:17:18,479 --> 01:17:21,000
Speaker 4: say I don't really have a desire like that would

1531
01:17:21,000 --> 01:17:23,400
Speaker 4: probably make me less likely don't want to shoot that one,

1532
01:17:24,439 --> 01:17:26,200
Speaker 4: which I know is you're not supposed to do that

1533
01:17:27,160 --> 01:17:30,120
Speaker 4: for the science of it. But like I definitely am

1534
01:17:30,160 --> 01:17:32,960
Speaker 4: not more inclined to shoot a tagged animal.

1535
01:17:33,080 --> 01:17:35,280
Speaker 1: Yeah, which is which people bring up, is like what

1536
01:17:35,400 --> 01:17:38,640
Speaker 1: it's so coveted to get a tagged duck, yeah, or

1537
01:17:38,760 --> 01:17:40,200
Speaker 1: tagged goose, but people.

1538
01:17:40,040 --> 01:17:41,599
Speaker 3: Don't want some collar around a deer.

1539
01:17:41,920 --> 01:17:42,280
Speaker 4: Yeah.

1540
01:17:42,720 --> 01:17:45,000
Speaker 1: It's like hard to explain, man, because I feel like

1541
01:17:45,040 --> 01:17:49,320
Speaker 1: the deer has been not corrupted, but he's like he's

1542
01:17:49,360 --> 01:17:53,879
Speaker 1: lost his Yeah, he's lost his yeah, yeah, his wild juju.

1543
01:17:54,920 --> 01:17:55,760
Speaker 4: Yeah.

1544
01:17:55,840 --> 01:17:56,040
Speaker 6: Yeah.

1545
01:17:56,080 --> 01:17:58,519
Speaker 4: You have the image in your head of some someone

1546
01:17:58,680 --> 01:18:00,080
Speaker 4: like tackling this dear.

1547
01:18:00,080 --> 01:18:02,320
Speaker 1: You're yeah, it just feels like you're not You're not

1548
01:18:02,520 --> 01:18:04,760
Speaker 1: like the first person on the scene. You know, there's

1549
01:18:04,800 --> 01:18:05,959
Speaker 1: been some other person.

1550
01:18:05,920 --> 01:18:08,400
Speaker 4: Yeah, monkey with you know, like there's not a lot

1551
01:18:08,439 --> 01:18:10,880
Speaker 4: of there's at least one bit of mystery in that

1552
01:18:10,920 --> 01:18:13,680
Speaker 4: deer's life that is like no more like you're like,

1553
01:18:13,720 --> 01:18:15,400
Speaker 4: I know at least one thing that happened.

1554
01:18:17,920 --> 01:18:21,919
Speaker 1: Do you guys ever have are with all your collaring

1555
01:18:21,960 --> 01:18:25,480
Speaker 1: projects or tagging projects, do you ever have get immortality

1556
01:18:26,479 --> 01:18:28,840
Speaker 1: and then or get whatever and go there and be like,

1557
01:18:28,880 --> 01:18:31,280
Speaker 1: someone shot this thing, like someone poached the turkey.

1558
01:18:32,640 --> 01:18:35,599
Speaker 4: You know, I don't think we've had that issue yet.

1559
01:18:36,000 --> 01:18:38,080
Speaker 1: Like it turns up. I remember talking to a guy

1560
01:18:38,120 --> 01:18:40,200
Speaker 1: that was in a collar or in a turkey. You

1561
01:18:40,200 --> 01:18:41,920
Speaker 1: don't call it collaring, what do you call it tagging?

1562
01:18:41,920 --> 01:18:42,200
Speaker 1: I don't know.

1563
01:18:43,240 --> 01:18:46,120
Speaker 4: Well, we use an unscientific term of transmittering.

1564
01:18:48,320 --> 01:18:51,160
Speaker 1: His transmittered turkey wound up in the middle of a

1565
01:18:51,200 --> 01:18:56,280
Speaker 1: woodstack missing. It's missing its breast, missing its breast.

1566
01:18:56,920 --> 01:19:03,960
Speaker 4: Yeah, there's a clue it probably figure out what happened

1567
01:19:03,960 --> 01:19:05,280
Speaker 4: to it, and.

1568
01:19:05,280 --> 01:19:08,680
Speaker 9: They like buried it in their own fans.

1569
01:19:08,920 --> 01:19:11,400
Speaker 4: Yeah, what killed this guy? I wonder.

1570
01:19:12,280 --> 01:19:13,880
Speaker 1: I feel like they were telling me that it was

1571
01:19:14,360 --> 01:19:15,640
Speaker 1: at that time. I feel like they were telling me

1572
01:19:15,680 --> 01:19:18,800
Speaker 1: it was glued onto it glued into the feathers. Is

1573
01:19:18,840 --> 01:19:19,479
Speaker 1: it right?

1574
01:19:19,720 --> 01:19:22,120
Speaker 4: That's not right? If that happened, that was not a

1575
01:19:22,160 --> 01:19:25,559
Speaker 4: good idea Flah, they.

1576
01:19:25,400 --> 01:19:26,679
Speaker 1: Were super gluing.

1577
01:19:26,800 --> 01:19:29,679
Speaker 3: So they were super gluing it into its feathers.

1578
01:19:31,080 --> 01:19:31,720
Speaker 4: When was this?

1579
01:19:33,360 --> 01:19:35,360
Speaker 3: When did I have this conversation over ten years ago?

1580
01:19:35,880 --> 01:19:37,680
Speaker 4: I wonder if he still I don't know if that

1581
01:19:38,000 --> 01:19:40,400
Speaker 4: was for what it's worth. I want to say that

1582
01:19:40,400 --> 01:19:43,639
Speaker 4: that was never supposed to be the standard for her

1583
01:19:44,200 --> 01:19:48,320
Speaker 4: for putting transmitters on you. We do use super glue,

1584
01:19:48,320 --> 01:19:50,679
Speaker 4: but we used superglue. So we use marine shot cord

1585
01:19:52,200 --> 01:19:55,880
Speaker 4: to make like the it's it's kind of like a

1586
01:19:56,000 --> 01:19:59,400
Speaker 4: it's almost like a a if a bungee and parrocord

1587
01:19:59,439 --> 01:20:00,000
Speaker 4: made a baby.

1588
01:20:00,200 --> 01:20:04,120
Speaker 1: I got you. Yeah, what do you call it? Marine?

1589
01:20:04,560 --> 01:20:07,439
Speaker 4: Marine shot cord? Just marine grade so it can stand

1590
01:20:07,520 --> 01:20:10,880
Speaker 4: up to the weather and everything. So we use that

1591
01:20:11,000 --> 01:20:14,000
Speaker 4: to make the make like the little backpack straps. And

1592
01:20:14,040 --> 01:20:16,320
Speaker 4: then when we not it used like a surgical knot

1593
01:20:16,360 --> 01:20:18,760
Speaker 4: to tie it off. Then we'll put super glue on

1594
01:20:18,760 --> 01:20:20,479
Speaker 4: that nott, but we put like a piece of cardboard

1595
01:20:20,560 --> 01:20:23,040
Speaker 4: underneath so that none of the super glue that gets

1596
01:20:23,040 --> 01:20:24,840
Speaker 4: on the feathers, because you don't want that understood, and

1597
01:20:24,920 --> 01:20:27,080
Speaker 4: you do not want to glue the transmitter to the bird.

1598
01:20:29,520 --> 01:20:31,960
Speaker 3: Well have been the pioneering days of Turkey.

1599
01:20:32,640 --> 01:20:34,559
Speaker 4: Maybe yeah, that's why I'm like, you know, I don't know.

1600
01:20:35,040 --> 01:20:37,920
Speaker 4: Maybe we got to this this strategy because the old

1601
01:20:37,960 --> 01:20:41,360
Speaker 4: one of super gluing them directly to the bird turned

1602
01:20:41,360 --> 01:20:44,360
Speaker 4: out to not be a great idea.

1603
01:20:43,520 --> 01:20:43,680
Speaker 5: But.

1604
01:20:45,840 --> 01:20:48,800
Speaker 1: So what's your like, Well, I want to get into

1605
01:20:48,800 --> 01:20:52,760
Speaker 1: your trap and business, what how does how's your career?

1606
01:20:53,000 --> 01:20:55,320
Speaker 1: How'd your career path go? And what happens to you next?

1607
01:20:55,720 --> 01:21:00,160
Speaker 4: Yeah, So I I always knew I was gonna to

1608
01:21:00,200 --> 01:21:03,400
Speaker 4: go into some kind of science and some kind of

1609
01:21:03,479 --> 01:21:06,960
Speaker 4: like biological science. I was always super interested in the

1610
01:21:06,960 --> 01:21:10,840
Speaker 4: outdoors and like insects and birds and all kinds of

1611
01:21:10,880 --> 01:21:13,800
Speaker 4: things like that was just always my jam, and so

1612
01:21:13,840 --> 01:21:15,840
Speaker 4: I knew when it came time to think about, Okay,

1613
01:21:15,880 --> 01:21:17,479
Speaker 4: what kind of degree do I want to get, I

1614
01:21:17,520 --> 01:21:23,160
Speaker 4: was like slam dunk, some kind of wildlife biology, environmental science,

1615
01:21:23,200 --> 01:21:27,960
Speaker 4: something like that. So I graduated in December of twenty

1616
01:21:28,000 --> 01:21:32,320
Speaker 4: one with a wildlife biology degree. Immediately went into a

1617
01:21:32,479 --> 01:21:35,880
Speaker 4: TA job for that program, which was just like a

1618
01:21:35,880 --> 01:21:38,960
Speaker 4: temporary thing. There's a I went to NC State. There's

1619
01:21:39,000 --> 01:21:42,400
Speaker 4: a mandatory summer program for all of the wildlife biology

1620
01:21:42,840 --> 01:21:45,759
Speaker 4: folks and it's all it's six weeks in the field.

1621
01:21:45,840 --> 01:21:48,320
Speaker 4: You go and do like hands on IDs and tagging

1622
01:21:48,400 --> 01:21:51,040
Speaker 4: and all kinds of stuff. It's super cool. So that

1623
01:21:51,160 --> 01:21:54,479
Speaker 4: was my first job out of undergrad was that TA job.

1624
01:21:55,200 --> 01:21:58,160
Speaker 4: And then I moved to Kansas and found my way

1625
01:21:58,200 --> 01:22:04,280
Speaker 4: into the wild life, the wildlife departments there, and that's

1626
01:22:04,280 --> 01:22:05,320
Speaker 4: when I got into the elk.

1627
01:22:05,960 --> 01:22:08,240
Speaker 3: The elk, and that's just like a salary job, full

1628
01:22:08,280 --> 01:22:09,160
Speaker 3: time salary job.

1629
01:22:09,240 --> 01:22:13,320
Speaker 4: This is hourly. Yeah, most most tech jobs are hourly,

1630
01:22:14,680 --> 01:22:17,400
Speaker 4: but you know it's it's like always just forty hours.

1631
01:22:17,400 --> 01:22:18,720
Speaker 4: You just put in forty hours a week.

1632
01:22:18,760 --> 01:22:21,840
Speaker 1: And that's what you're still doing now, yes, and then

1633
01:22:21,840 --> 01:22:22,719
Speaker 1: what happens next.

1634
01:22:23,880 --> 01:22:30,880
Speaker 4: Ideally, I would absolutely love to turn trapping somehow into

1635
01:22:30,920 --> 01:22:37,479
Speaker 4: a full time business of like trapping for handling tax

1636
01:22:37,520 --> 01:22:40,200
Speaker 4: ander me at least, like I've tried to dabble in

1637
01:22:40,320 --> 01:22:43,559
Speaker 4: like actual mounts and stuff. I still have a lot

1638
01:22:43,560 --> 01:22:47,360
Speaker 4: to learn there. But I had a dermisted colony. I

1639
01:22:47,479 --> 01:22:49,320
Speaker 4: just moved really recently, so I don't have it set

1640
01:22:49,360 --> 01:22:51,960
Speaker 4: up again yet. But I had a dermistic colony, and

1641
01:22:52,000 --> 01:22:54,840
Speaker 4: that was like a really good kind of side gig

1642
01:22:54,880 --> 01:22:58,120
Speaker 4: to run. Was skull cleaning, sure, and for my own

1643
01:22:58,120 --> 01:23:00,720
Speaker 4: skulls that I got from from tracking and everything. I

1644
01:23:01,040 --> 01:23:03,840
Speaker 4: sell sell all those so I would just you know,

1645
01:23:04,000 --> 01:23:06,200
Speaker 4: run them through the beetles and sell them. You don't

1646
01:23:06,240 --> 01:23:08,320
Speaker 4: have it now, no, I got to get it started

1647
01:23:08,320 --> 01:23:10,839
Speaker 4: back up again. I don't have like a great place

1648
01:23:10,960 --> 01:23:13,200
Speaker 4: to set up. You know, you know how they smell

1649
01:23:13,680 --> 01:23:15,439
Speaker 4: the dermistic colonies so like.

1650
01:23:15,439 --> 01:23:18,240
Speaker 1: Nothing, it's like nothing you've ever smelled. Yeah, yeah, there's

1651
01:23:18,240 --> 01:23:20,000
Speaker 1: probably like things little tricks you can do.

1652
01:23:22,360 --> 01:23:25,519
Speaker 4: Yeah, if you have like the right ventilation system, that's

1653
01:23:25,560 --> 01:23:27,639
Speaker 4: the biggest thing. Like you have to have it really

1654
01:23:27,640 --> 01:23:28,400
Speaker 4: well ventilated.

1655
01:23:28,479 --> 01:23:30,120
Speaker 1: They create their own kind of funk man.

1656
01:23:30,280 --> 01:23:34,640
Speaker 4: Yes, and god forbid you get flies in it somehow.

1657
01:23:34,760 --> 01:23:38,240
Speaker 4: The like the beetles don't smell that bad if you

1658
01:23:38,280 --> 01:23:40,640
Speaker 4: haven't ventilated, right, but if maggots get in there, I

1659
01:23:40,640 --> 01:23:42,880
Speaker 4: don't know what it is about a maggot that's they

1660
01:23:42,960 --> 01:23:44,320
Speaker 4: just smell so much worse.

1661
01:23:44,880 --> 01:23:47,840
Speaker 1: And uh, well they probably come in on people's bringing

1662
01:23:47,880 --> 01:23:49,320
Speaker 1: in mega that's yeah.

1663
01:23:49,160 --> 01:23:52,519
Speaker 4: That's the problem. And like you can't really kill a mat,

1664
01:23:52,800 --> 01:23:55,320
Speaker 4: Like you can freeze the skulls like indefinitely, and it

1665
01:23:55,320 --> 01:23:58,080
Speaker 4: feels like the second you thought, the maggots still just

1666
01:23:58,160 --> 01:24:00,719
Speaker 4: pop out, like it just doesn't kill them. So yeah,

1667
01:24:00,800 --> 01:24:03,559
Speaker 4: you gotta be careful about like not leaving skulls out

1668
01:24:03,560 --> 01:24:06,680
Speaker 4: where they're gonna get flies on them. And uh and

1669
01:24:06,760 --> 01:24:08,920
Speaker 4: you got to be careful about the because I I did.

1670
01:24:08,960 --> 01:24:11,280
Speaker 4: I took in I took in a skull at some

1671
01:24:11,400 --> 01:24:14,320
Speaker 4: point that had been left out where it got maggots

1672
01:24:14,320 --> 01:24:17,880
Speaker 4: in it, and it just destroyed the colony. I mean,

1673
01:24:17,920 --> 01:24:19,680
Speaker 4: you just got Yeah, you just got to ditch it

1674
01:24:19,720 --> 01:24:20,960
Speaker 4: and start it, start fresh.

1675
01:24:21,080 --> 01:24:22,920
Speaker 1: You have to kill all those thousands of lives.

1676
01:24:23,320 --> 01:24:27,240
Speaker 4: Yeah, yeah, Yeah.

1677
01:24:27,479 --> 01:24:29,120
Speaker 3: Let's say I got a hypothetical for you.

1678
01:24:29,320 --> 01:24:32,439
Speaker 1: Let's say you're a media or trivia and the answer

1679
01:24:32,479 --> 01:24:38,120
Speaker 1: to the question is domestic mm hmmkay, and and someone

1680
01:24:38,200 --> 01:24:43,599
Speaker 1: and you're the judge, and someone writes, would you give

1681
01:24:43,640 --> 01:24:45,120
Speaker 1: it to him?

1682
01:24:45,320 --> 01:24:48,479
Speaker 4: They'remifted? I probably would.

1683
01:24:51,640 --> 01:24:51,880
Speaker 2: Judge.

1684
01:24:51,920 --> 01:24:56,240
Speaker 3: Then I got to revisit, like what else?

1685
01:24:56,400 --> 01:24:58,200
Speaker 4: What else could you be going for?

1686
01:24:59,000 --> 01:24:59,280
Speaker 6: Right?

1687
01:24:59,840 --> 01:25:01,000
Speaker 1: The exactly my point.

1688
01:25:01,160 --> 01:25:02,200
Speaker 4: Yeah, And.

1689
01:25:05,720 --> 01:25:06,519
Speaker 3: I did not get it.

1690
01:25:06,880 --> 01:25:10,559
Speaker 4: You're asking for a friend. I did not get Yeah,

1691
01:25:10,640 --> 01:25:14,160
Speaker 4: that's I called bullshit on that one, that you're changing

1692
01:25:14,200 --> 01:25:16,320
Speaker 4: your answer. No, no, no, no, no, I call I'm

1693
01:25:16,360 --> 01:25:17,040
Speaker 4: not giving.

1694
01:25:16,800 --> 01:25:17,120
Speaker 6: It to you.

1695
01:25:17,520 --> 01:25:22,120
Speaker 1: Yeah, So get me to how'd you get into trapping?

1696
01:25:23,520 --> 01:25:26,240
Speaker 1: So because there's not a lot of young trappers. No,

1697
01:25:26,320 --> 01:25:27,919
Speaker 1: there's not a lot of female trappers.

1698
01:25:28,000 --> 01:25:30,560
Speaker 4: Yes, and not a lot of first generation trappers.

1699
01:25:31,000 --> 01:25:34,280
Speaker 1: I remember it was startling statistic from Michigan. I never

1700
01:25:34,360 --> 01:25:36,519
Speaker 1: looked to see if it's true, but the guy that

1701
01:25:36,560 --> 01:25:40,240
Speaker 1: told me would know. He's like, here's telling me that this.

1702
01:25:40,240 --> 01:25:44,400
Speaker 1: This is some years ago. He said that every year,

1703
01:25:45,360 --> 01:25:49,720
Speaker 1: the average age of a trapper in Michigan goes up

1704
01:25:50,479 --> 01:25:50,880
Speaker 1: a year.

1705
01:25:52,320 --> 01:25:54,719
Speaker 3: Like the more you think about that, dude, it's like stunning.

1706
01:25:54,920 --> 01:25:55,120
Speaker 1: Yes.

1707
01:25:55,560 --> 01:26:01,160
Speaker 4: Yeah, so I I just like ever really hit a

1708
01:26:01,200 --> 01:26:03,680
Speaker 4: limit with what I want to do in the outdoors.

1709
01:26:04,200 --> 01:26:09,400
Speaker 4: Like I've taught myself pretty much everything. I'm kind of

1710
01:26:09,400 --> 01:26:11,519
Speaker 4: in the same boat as lake where. You know, my

1711
01:26:11,640 --> 01:26:17,639
Speaker 4: dad was like a casual deer hunter and but really

1712
01:26:17,640 --> 01:26:20,080
Speaker 4: into fishing, and my mom as well. So I grew

1713
01:26:20,160 --> 01:26:22,640
Speaker 4: up fishing a ton and I was just obsessed with it.

1714
01:26:23,280 --> 01:26:24,880
Speaker 4: And my dad would go out, you know, a couple

1715
01:26:24,920 --> 01:26:28,000
Speaker 4: of times, a couple of times a season, go walk around.

1716
01:26:28,040 --> 01:26:29,920
Speaker 4: He literally would just go for a hike with a

1717
01:26:30,320 --> 01:26:35,240
Speaker 4: gun and just hope he bumped into something. Yeahah, so

1718
01:26:35,960 --> 01:26:39,280
Speaker 4: he didn't even he didn't get his first his first

1719
01:26:39,320 --> 01:26:42,439
Speaker 4: deer until I was I want to say, I was

1720
01:26:42,520 --> 01:26:46,120
Speaker 4: like six or something, and my mom like wouldn't let

1721
01:26:46,120 --> 01:26:47,920
Speaker 4: me go anywhere. She's like, don't look, don't look. I

1722
01:26:47,960 --> 01:26:50,479
Speaker 4: don't want it, like keep the meat away, like, don't

1723
01:26:50,520 --> 01:26:55,040
Speaker 4: I don't want her seeing this? Yeah, she she herself

1724
01:26:55,120 --> 01:26:58,679
Speaker 4: was kind of like I don't like this. But yeah,

1725
01:26:58,720 --> 01:27:00,679
Speaker 4: the more the more and more I got into fishing,

1726
01:27:01,720 --> 01:27:04,519
Speaker 4: the more I was like I just wanted something else.

1727
01:27:05,000 --> 01:27:06,840
Speaker 4: And the natural next step was like, oh, you know

1728
01:27:06,880 --> 01:27:09,439
Speaker 4: what about hunting, And my dad's like, I don't know,

1729
01:27:09,680 --> 01:27:11,320
Speaker 4: kind of staying with you in the turkey hunting Like,

1730
01:27:11,320 --> 01:27:14,200
Speaker 4: my Dad's like, I don't know what I'm doing. So

1731
01:27:14,280 --> 01:27:17,599
Speaker 4: he took me to an outfitter, got my first deer.

1732
01:27:17,720 --> 01:27:19,360
Speaker 4: He was like super nervous that I was going to

1733
01:27:19,400 --> 01:27:21,439
Speaker 4: be turned off when I shot my first year, that

1734
01:27:21,439 --> 01:27:23,840
Speaker 4: I was gonna have like an emotional breakdown or something.

1735
01:27:23,840 --> 01:27:27,160
Speaker 4: But I was so stoked. I shot two in my

1736
01:27:27,240 --> 01:27:31,360
Speaker 4: first my first hunt the last like afternoon, after sitting

1737
01:27:31,400 --> 01:27:33,439
Speaker 4: in like cold rain the whole time.

1738
01:27:33,560 --> 01:27:35,240
Speaker 3: Where did he take it to go on a guy

1739
01:27:35,280 --> 01:27:35,880
Speaker 3: to deer hunt?

1740
01:27:36,240 --> 01:27:39,400
Speaker 4: Northeastern North Carolina? Yeah, yeah, so this was so. I

1741
01:27:39,439 --> 01:27:42,479
Speaker 4: was actually born in New Jersey, lived there until I

1742
01:27:42,520 --> 01:27:45,360
Speaker 4: was six. So we hunted or we fished a lot

1743
01:27:46,040 --> 01:27:48,360
Speaker 4: up north, did a lot of fishing up in like

1744
01:27:48,439 --> 01:27:51,360
Speaker 4: upstate New York and stuff just worm and Bobbery moved

1745
01:27:51,360 --> 01:27:53,880
Speaker 4: down to North Carolina, and we could not get on

1746
01:27:53,960 --> 01:27:56,599
Speaker 4: fish to save our lives. Like we could not catch

1747
01:27:56,640 --> 01:27:57,240
Speaker 4: a thing, like.

1748
01:27:57,240 --> 01:27:58,439
Speaker 1: Your old tricks weren't working.

1749
01:27:58,560 --> 01:28:01,160
Speaker 4: No, I mean there was no trick like up north.

1750
01:28:01,200 --> 01:28:03,000
Speaker 4: I mean we would just take any kind of live

1751
01:28:03,080 --> 01:28:05,720
Speaker 4: bait and chuck it in there and you'd catch like

1752
01:28:05,760 --> 01:28:08,000
Speaker 4: a nice smolly or yellow perch or something like. There

1753
01:28:08,080 --> 01:28:10,559
Speaker 4: was just nothing to it. And yeah, I get down

1754
01:28:10,560 --> 01:28:13,920
Speaker 4: to North Carolina, it's this like muddy ass water or

1755
01:28:14,200 --> 01:28:16,800
Speaker 4: like sitting there with like minnows and stuff, We're like,

1756
01:28:16,800 --> 01:28:19,400
Speaker 4: why can't we catch anything? And everybody was kind of

1757
01:28:19,400 --> 01:28:21,880
Speaker 4: giving up, Like my parents were like not interested anymore.

1758
01:28:22,000 --> 01:28:23,599
Speaker 4: My Dad's like I think I'm gonna sell the boat.

1759
01:28:23,760 --> 01:28:27,360
Speaker 4: And I was like, this can't happen, Like I just

1760
01:28:27,439 --> 01:28:29,160
Speaker 4: love it so much. And so I was like I

1761
01:28:29,200 --> 01:28:32,360
Speaker 4: gotta figure this out. And that's when I got into

1762
01:28:32,400 --> 01:28:34,640
Speaker 4: bass fishing because I was I was like researching on

1763
01:28:34,720 --> 01:28:38,240
Speaker 4: what kind of fishing is good around here and largemouth bass.

1764
01:28:38,240 --> 01:28:40,639
Speaker 4: So then I started learning how to fish artificial, learned

1765
01:28:40,640 --> 01:28:43,800
Speaker 4: how to use a bait caster, and ended up getting

1766
01:28:43,800 --> 01:28:46,320
Speaker 4: really into that, and then that was what led me

1767
01:28:46,360 --> 01:28:49,519
Speaker 4: into like when I got super into bass fishing, I

1768
01:28:49,560 --> 01:28:51,240
Speaker 4: was like, there's got to be something I can do,

1769
01:28:52,280 --> 01:28:55,719
Speaker 4: you know, in the in the winter, when like bass

1770
01:28:55,720 --> 01:29:01,120
Speaker 4: fishing is not like super fun And someone might be

1771
01:29:01,320 --> 01:29:03,240
Speaker 4: making a face at that because there are a lot

1772
01:29:03,280 --> 01:29:04,920
Speaker 4: of people that fish baths in the winter out there

1773
01:29:04,960 --> 01:29:14,360
Speaker 4: and things.

1774
01:29:05,760 --> 01:29:05,840
Speaker 9: But.

1775
01:29:10,120 --> 01:29:12,120
Speaker 4: For me, I was like, I love fishing, like the

1776
01:29:12,120 --> 01:29:13,760
Speaker 4: weed beds in the summer. That was my thing, and

1777
01:29:13,880 --> 01:29:15,800
Speaker 4: like I want something to do in the winter, fall

1778
01:29:15,840 --> 01:29:18,200
Speaker 4: and winter. So it just seemed like if I like

1779
01:29:18,280 --> 01:29:21,160
Speaker 4: fishing so much, I probably will like hunting. And so

1780
01:29:21,360 --> 01:29:24,320
Speaker 4: got into hunting. And then when I kind of got

1781
01:29:24,479 --> 01:29:27,920
Speaker 4: got my feet under myself with hunting, then I started

1782
01:29:27,960 --> 01:29:30,559
Speaker 4: to find myself being like, okay, but what about what

1783
01:29:30,640 --> 01:29:35,800
Speaker 4: about like after deer season and before Turkey season, Yes exactly,

1784
01:29:36,160 --> 01:29:38,000
Speaker 4: I was. I'm sitting there like, you know, I can

1785
01:29:38,000 --> 01:29:40,800
Speaker 4: go shed hunting or just hike around, like it's just

1786
01:29:40,840 --> 01:29:44,360
Speaker 4: not really scratching that itch for me. And I actually

1787
01:29:44,400 --> 01:29:48,080
Speaker 4: watched the beaver trapping episode, the Wyoming beaver trapping episode,

1788
01:29:48,080 --> 01:29:52,960
Speaker 4: and I was like, hmmm, yeah, yeah, I was like

1789
01:29:53,040 --> 01:29:56,320
Speaker 4: I wonder and this this creek bottom that I had

1790
01:29:56,320 --> 01:29:59,760
Speaker 4: been hunting on public for for deer for several years

1791
01:29:59,800 --> 01:30:03,479
Speaker 4: is beautiful swamp bottom full of beavers, and I was like,

1792
01:30:03,960 --> 01:30:06,920
Speaker 4: that seems like a very easy, like first step is

1793
01:30:06,960 --> 01:30:09,800
Speaker 4: like just trying to snare a beaver in that creek.

1794
01:30:09,840 --> 01:30:11,360
Speaker 4: I'm like, I know it like the back of my hand,

1795
01:30:11,920 --> 01:30:13,679
Speaker 4: Like I can get in and get out pretty easily.

1796
01:30:14,640 --> 01:30:18,080
Speaker 4: Snares are like a super straightforward thing to use. They

1797
01:30:18,120 --> 01:30:22,080
Speaker 4: were legal there only for beaver. But yeah, So I

1798
01:30:22,120 --> 01:30:26,639
Speaker 4: went in beginning of January and this was in twenty

1799
01:30:26,680 --> 01:30:30,880
Speaker 4: twenty one. I went in, made all my sets, two

1800
01:30:30,960 --> 01:30:33,760
Speaker 4: nights later, got my first beaver with a snare with

1801
01:30:33,800 --> 01:30:37,160
Speaker 4: a snare, and it was it was just like it

1802
01:30:37,280 --> 01:30:39,280
Speaker 4: just clicked. I was like, this is it, Like this

1803
01:30:39,439 --> 01:30:43,920
Speaker 4: is the thing. It just felt so natural and so

1804
01:30:44,520 --> 01:30:46,840
Speaker 4: like it was like it was like a kind of

1805
01:30:46,880 --> 01:30:50,760
Speaker 4: a puzzle that hunting doesn't really give you, and it

1806
01:30:50,840 --> 01:30:55,439
Speaker 4: was like exactly what I'd been craving. So I went

1807
01:30:55,640 --> 01:30:57,840
Speaker 4: so hard that season I think I ended up getting

1808
01:30:57,840 --> 01:31:00,640
Speaker 4: eleven beavers out of that little creek. Autumn, I got

1809
01:31:00,680 --> 01:31:03,880
Speaker 4: a couple of otter, which is awesome, and snares no,

1810
01:31:03,920 --> 01:31:05,439
Speaker 4: so you're not allowed to use snares for us there.

1811
01:31:05,479 --> 01:31:07,760
Speaker 4: I started using three thirties after I got kind of

1812
01:31:07,760 --> 01:31:10,200
Speaker 4: confident with uh, because at first, when I was looking

1813
01:31:10,200 --> 01:31:12,600
Speaker 4: at a three thirty, I was like, oh, that's terrifying.

1814
01:31:12,160 --> 01:31:13,479
Speaker 1: Like my arms going off.

1815
01:31:13,600 --> 01:31:16,880
Speaker 4: Yeah. So once I got a little more comfortable, I

1816
01:31:16,920 --> 01:31:18,720
Speaker 4: got some three thirties and I put those out, and

1817
01:31:18,720 --> 01:31:21,519
Speaker 4: so I got a couple of otter and then kind

1818
01:31:21,520 --> 01:31:23,519
Speaker 4: of towards the end of the season, I started trying

1819
01:31:23,600 --> 01:31:26,400
Speaker 4: raccoon too, because there's so many raccoons. Any creek bonds full,

1820
01:31:28,400 --> 01:31:30,599
Speaker 4: I put it. I just skinned them out. I actually

1821
01:31:30,640 --> 01:31:33,280
Speaker 4: have all of thet I've only gotten three otters because

1822
01:31:33,640 --> 01:31:37,080
Speaker 4: you know that place was stacked with them. Kansas is not.

1823
01:31:37,960 --> 01:31:40,600
Speaker 4: So I wasn't in North Carolina very long before I

1824
01:31:40,640 --> 01:31:43,280
Speaker 4: moved to Kansas, and I only got three. And I

1825
01:31:43,360 --> 01:31:45,280
Speaker 4: just love otters so much. I'm like I couldn't let

1826
01:31:45,320 --> 01:31:46,880
Speaker 4: go of them. So I have all three of those

1827
01:31:46,920 --> 01:31:48,679
Speaker 4: pelts up on my wall. Yeah.

1828
01:31:48,800 --> 01:31:50,360
Speaker 1: And now you got then you got in like pretty

1829
01:31:50,360 --> 01:31:54,559
Speaker 1: sophisticated like bobcats and stuff. Yes, like top tier, top

1830
01:31:54,600 --> 01:31:55,240
Speaker 1: tier trap.

1831
01:31:55,560 --> 01:32:01,160
Speaker 4: Yes, which is amazing. That was like super expected to me.

1832
01:32:01,280 --> 01:32:03,800
Speaker 4: I mean I knew everyone always says like, if you

1833
01:32:03,800 --> 01:32:05,640
Speaker 4: can catch a coyote, you can catch a cat. Like,

1834
01:32:05,680 --> 01:32:08,280
Speaker 4: cats are just so much more confident and so much

1835
01:32:08,280 --> 01:32:09,840
Speaker 4: more predictable really.

1836
01:32:09,640 --> 01:32:11,880
Speaker 3: And so much more not as many of them running around.

1837
01:32:12,240 --> 01:32:15,080
Speaker 4: Well yeah that is. Yeah, So like I'm always getting

1838
01:32:15,080 --> 01:32:18,000
Speaker 4: more numbers of coyotes than cats, like if I'm running

1839
01:32:18,000 --> 01:32:20,960
Speaker 4: a pretty even line, but like if I find a

1840
01:32:21,040 --> 01:32:23,240
Speaker 4: cat track, it's like I'm gonna get that cat. Hmmm,

1841
01:32:23,560 --> 01:32:25,320
Speaker 4: Like you can. You can just be so much more

1842
01:32:25,360 --> 01:32:27,719
Speaker 4: confident if you like, if you have the right.

1843
01:32:28,120 --> 01:32:30,679
Speaker 1: Within how many knights you find a cat track in Kansas,

1844
01:32:30,720 --> 01:32:32,639
Speaker 1: within how many nights, he's gonna you're gonna have them.

1845
01:32:33,280 --> 01:32:35,720
Speaker 4: That's tough, I would say within a week, because they

1846
01:32:35,720 --> 01:32:38,400
Speaker 4: do kind of run. They usually run kind of a

1847
01:32:38,680 --> 01:32:42,200
Speaker 4: loop within their territory. Same with coyotes. So like if

1848
01:32:42,240 --> 01:32:46,200
Speaker 4: I see like super fresh sign, I'm like, okay, maybe

1849
01:32:46,200 --> 01:32:48,880
Speaker 4: I'm like a little bit behind here, and it's gonna

1850
01:32:48,880 --> 01:32:52,400
Speaker 4: take you know, four or five nights before that cat

1851
01:32:52,439 --> 01:32:53,120
Speaker 4: comes back around.

1852
01:32:53,240 --> 01:32:55,160
Speaker 3: Yeah, but he's gonna come and walk in that spot.

1853
01:32:55,360 --> 01:32:57,720
Speaker 4: Yeah, he's gonna come right back through there, and he

1854
01:32:57,800 --> 01:32:59,559
Speaker 4: is going to clue in on any kind of new

1855
01:32:59,600 --> 01:33:03,599
Speaker 4: smell anything in there. And yeah, and like you can

1856
01:33:03,640 --> 01:33:05,720
Speaker 4: put out cats are one of the few things that

1857
01:33:05,760 --> 01:33:07,960
Speaker 4: you can like just drop a cage right there and

1858
01:33:08,000 --> 01:33:10,639
Speaker 4: they're just like looks good to me and just walk

1859
01:33:10,720 --> 01:33:14,040
Speaker 4: right in. And a lot of times, like even when

1860
01:33:14,040 --> 01:33:16,800
Speaker 4: the cage closes on them, they're like, oh well, and

1861
01:33:16,800 --> 01:33:18,960
Speaker 4: they'll just eat the rest of the baby and they'll

1862
01:33:18,960 --> 01:33:19,959
Speaker 4: just lay down. Yeah.

1863
01:33:20,000 --> 01:33:22,519
Speaker 1: So, were you selling your bodcast this year? So on

1864
01:33:22,560 --> 01:33:24,599
Speaker 1: the open market or do you everything you sell your

1865
01:33:24,840 --> 01:33:26,240
Speaker 1: you sell yourself to your own customes.

1866
01:33:26,280 --> 01:33:26,400
Speaker 8: No.

1867
01:33:26,520 --> 01:33:28,960
Speaker 4: So if I get like a really really nice cat,

1868
01:33:29,640 --> 01:33:33,599
Speaker 4: I prefer to sell them frozen hole to taxidermy trade.

1869
01:33:34,280 --> 01:33:36,679
Speaker 1: And they care about whether it's nice, yes.

1870
01:33:37,120 --> 01:33:39,439
Speaker 4: They well, they care about the spotting. That's really the

1871
01:33:39,439 --> 01:33:41,200
Speaker 4: big thing. So it's not it's not really the length

1872
01:33:41,240 --> 01:33:43,920
Speaker 4: of the fur when you're selling to taxidermy market. It's

1873
01:33:43,920 --> 01:33:47,880
Speaker 4: the the pattern and the coloration they want.

1874
01:33:48,000 --> 01:33:50,040
Speaker 1: They want nice, not just the belly, but the body.

1875
01:33:50,160 --> 01:33:52,920
Speaker 4: The body. Yeah, like you can have a super plain belly,

1876
01:33:52,920 --> 01:33:56,240
Speaker 4: but if it's got like awesome spots and like the

1877
01:33:56,320 --> 01:33:59,000
Speaker 4: rosettes and stuff down its sides and its back, like,

1878
01:33:59,040 --> 01:34:01,120
Speaker 4: that's because they want something that's going to be They're

1879
01:34:01,160 --> 01:34:04,519
Speaker 4: usually buying these to make competition mounts, and so they

1880
01:34:04,560 --> 01:34:08,800
Speaker 4: want something that's like really striking, like super eye catching. Yeah,

1881
01:34:08,840 --> 01:34:11,960
Speaker 4: and even like kittens a lot of times, like kittens

1882
01:34:11,960 --> 01:34:16,679
Speaker 4: are are really hot on the market. What yeah, if

1883
01:34:16,880 --> 01:34:19,160
Speaker 4: like they'll they'll sell so fast and you can get

1884
01:34:19,160 --> 01:34:21,000
Speaker 4: a decent chunk of change for them, because it's like

1885
01:34:21,000 --> 01:34:23,880
Speaker 4: a if you can get a kitten mount like really

1886
01:34:24,400 --> 01:34:26,960
Speaker 4: really nice, super realistic, it's so good in a competition.

1887
01:34:27,439 --> 01:34:33,320
Speaker 1: You know, when I was growing up, the worst thing

1888
01:34:33,320 --> 01:34:34,760
Speaker 1: you could do to an odd is touch it with

1889
01:34:34,800 --> 01:34:35,280
Speaker 1: a knife.

1890
01:34:36,120 --> 01:34:37,880
Speaker 3: Yeah, the taxi ermy trade was.

1891
01:34:38,920 --> 01:34:39,840
Speaker 1: Yeah, hot form.

1892
01:34:39,960 --> 01:34:41,400
Speaker 4: Yeah it still is.

1893
01:34:41,360 --> 01:34:44,559
Speaker 3: And it'd be like yeah, it'd be way more money.

1894
01:34:44,680 --> 01:34:44,880
Speaker 2: Yep.

1895
01:34:45,360 --> 01:34:47,240
Speaker 1: Yeah, it wasn't even it was just it was a

1896
01:34:47,280 --> 01:34:50,720
Speaker 1: completely separate deal. Yeah, did you have that, Like, did

1897
01:34:50,760 --> 01:34:52,280
Speaker 1: you sell stuff seth to text?

1898
01:34:52,439 --> 01:34:55,519
Speaker 8: I never did know, but I knew people who did. Like,

1899
01:34:56,560 --> 01:34:58,120
Speaker 8: every once in a while, someone would catch like a

1900
01:34:58,120 --> 01:35:02,240
Speaker 8: black coyote or a black red fox. Yep, those typically

1901
01:35:02,280 --> 01:35:04,040
Speaker 8: went to uh taxa.

1902
01:35:03,920 --> 01:35:05,960
Speaker 1: Yeah, it's funny you put all that work into Like

1903
01:35:06,000 --> 01:35:07,800
Speaker 1: you can put all that work into a nod or yep,

1904
01:35:08,400 --> 01:35:11,799
Speaker 1: flash it, stretch it, yeah, twenty five docks around, freeze

1905
01:35:11,800 --> 01:35:13,880
Speaker 1: it and bring it to a tax service. Hundred bucks yep.

1906
01:35:14,320 --> 01:35:17,360
Speaker 1: And that's without calling around. That's just like they don't

1907
01:35:17,400 --> 01:35:18,800
Speaker 1: even know. I never got.

1908
01:35:19,120 --> 01:35:20,959
Speaker 3: With the Internet, you could probably getret targeted.

1909
01:35:21,080 --> 01:35:24,519
Speaker 4: Yeah. Facebook, there's there's really yeah, there's all kinds of

1910
01:35:24,520 --> 01:35:26,839
Speaker 4: trapper to tax terms. You can start like a bidding

1911
01:35:26,880 --> 01:35:29,840
Speaker 4: war for like if you get something really awesome and

1912
01:35:29,880 --> 01:35:31,240
Speaker 4: you put it in one of these like trapper to

1913
01:35:31,280 --> 01:35:34,040
Speaker 4: taxidermist Facebook groups. Oh really, Like yeah, you could start

1914
01:35:34,040 --> 01:35:35,320
Speaker 4: a bidding war on some of that stuff.

1915
01:35:38,920 --> 01:35:41,120
Speaker 1: So do you sell anything into the trade, like into

1916
01:35:41,160 --> 01:35:42,840
Speaker 1: the normal market trade?

1917
01:35:42,880 --> 01:35:43,439
Speaker 4: No, I don't.

1918
01:35:43,479 --> 01:35:45,080
Speaker 1: I've never the market.

1919
01:35:45,200 --> 01:35:48,320
Speaker 4: Yeah. I I do my own thing. I get everything

1920
01:35:48,439 --> 01:35:50,280
Speaker 4: dried sent off to the tannery and I sell it

1921
01:35:50,320 --> 01:35:51,160
Speaker 4: at my Etsy store.

1922
01:35:51,280 --> 01:35:53,960
Speaker 3: Well tannery to use Sleepy Creek in Iowa.

1923
01:35:54,760 --> 01:35:58,280
Speaker 4: They're they're kind of kind of new, but they do

1924
01:35:58,320 --> 01:36:00,920
Speaker 4: a fantastic job and really good pricing.

1925
01:36:01,120 --> 01:36:02,879
Speaker 1: Do you ever use oil min containner?

1926
01:36:03,040 --> 01:36:06,800
Speaker 4: I haven't. I went right to Sleeping Creek because they

1927
01:36:07,280 --> 01:36:11,599
Speaker 4: have very very competitive pricing and I like that good.

1928
01:36:12,080 --> 01:36:13,479
Speaker 4: I'm in it for the profit margins.

1929
01:36:13,640 --> 01:36:20,200
Speaker 1: Yeah. So everything you catch, you you sell Wallhanngers skulls ye.

1930
01:36:20,960 --> 01:36:22,800
Speaker 1: And you have enough of an outlet where you never

1931
01:36:22,840 --> 01:36:24,799
Speaker 1: get excess that you got to go dump into the market.

1932
01:36:25,000 --> 01:36:28,639
Speaker 4: Nope, no, yeah, because I'm I'm trapping all on public.

1933
01:36:28,720 --> 01:36:32,320
Speaker 4: I'm doing it in my very limited free time outside

1934
01:36:32,320 --> 01:36:35,599
Speaker 4: of work, so I can only run like a dozen

1935
01:36:35,640 --> 01:36:36,400
Speaker 4: sets at a time.

1936
01:36:37,520 --> 01:36:38,559
Speaker 1: That's still fun as hell.

1937
01:36:38,680 --> 01:36:41,960
Speaker 4: So much fun, Yeah, so much fun. And yeah, so

1938
01:36:42,080 --> 01:36:44,719
Speaker 4: every catch to me is like it's a big deal

1939
01:36:44,920 --> 01:36:47,840
Speaker 4: and I don't I don't usually get into If I

1940
01:36:47,840 --> 01:36:50,360
Speaker 4: get into double digits on any one species, that's like

1941
01:36:50,400 --> 01:36:54,320
Speaker 4: a really solid year. So it's nothing I can't handle myself.

1942
01:36:54,400 --> 01:36:56,760
Speaker 1: So even right now, like the way cat prices got

1943
01:36:56,840 --> 01:36:58,920
Speaker 1: kind of crazy this year, and some people think that

1944
01:36:59,479 --> 01:37:03,880
Speaker 1: they over I don't know why. For some weird ass reason,

1945
01:37:03,920 --> 01:37:07,520
Speaker 1: I follow fur markets very closely. I'm never understanding.

1946
01:37:09,040 --> 01:37:09,559
Speaker 3: It's a hobby.

1947
01:37:09,920 --> 01:37:10,920
Speaker 4: It's like the stock market.

1948
01:37:11,360 --> 01:37:16,040
Speaker 1: Well, no, I can see there's like a relevance argument

1949
01:37:16,080 --> 01:37:18,560
Speaker 1: to the stock market, but for me to follow fair prices,

1950
01:37:18,320 --> 01:37:21,160
Speaker 1: it's just like it makes zero sense. I'm just into it.

1951
01:37:21,320 --> 01:37:26,360
Speaker 3: Anyways, there's suspicion that people overbought.

1952
01:37:26,840 --> 01:37:30,679
Speaker 1: Yeah, I get like overpaid cats, but cats got crazy,

1953
01:37:31,040 --> 01:37:32,880
Speaker 1: so but even then you can still do better. I

1954
01:37:32,920 --> 01:37:34,880
Speaker 1: don't want you to give all your trade secrets you

1955
01:37:34,920 --> 01:37:37,840
Speaker 1: can even with crazy cat prices, you can still do

1956
01:37:37,920 --> 01:37:40,680
Speaker 1: better not selling in the cat market, I.

1957
01:37:40,600 --> 01:37:42,960
Speaker 4: Would say if you're not in one of like the

1958
01:37:43,080 --> 01:37:46,640
Speaker 4: high desert kind of states where they have like that

1959
01:37:46,800 --> 01:37:50,360
Speaker 4: crazy long for big white belly nice spots like Kansas

1960
01:37:50,400 --> 01:37:53,519
Speaker 4: cats were like a little too.

1961
01:37:53,400 --> 01:37:55,439
Speaker 1: Far east, like a middle tier cat.

1962
01:37:55,800 --> 01:38:00,360
Speaker 4: Yeah, but amazing spots on a lot of them. Like

1963
01:38:00,600 --> 01:38:04,560
Speaker 4: whenever someone says, oh, the cats here aren't spotted like that,

1964
01:38:04,560 --> 01:38:08,559
Speaker 4: that's not that that's bullshit, because they're they're out there.

1965
01:38:08,600 --> 01:38:12,519
Speaker 4: Like it might be different percentages of ones that are

1966
01:38:12,520 --> 01:38:16,000
Speaker 4: super spotted, but like everywhere has spotted cats in there.

1967
01:38:17,520 --> 01:38:19,519
Speaker 4: And part of the reason why I know that for

1968
01:38:19,600 --> 01:38:24,080
Speaker 4: certain is running this statewide camera survey. The number of

1969
01:38:24,240 --> 01:38:29,280
Speaker 4: just like unbelievably spotted cats that I'm seeing on these cameras,

1970
01:38:29,320 --> 01:38:31,360
Speaker 4: Like it's a pretty even mix of like the really

1971
01:38:31,400 --> 01:38:35,840
Speaker 4: like sandy kind of plain ones and super spotted ones.

1972
01:38:35,840 --> 01:38:39,240
Speaker 4: And like almost everyone I talk to, like when I

1973
01:38:39,320 --> 01:38:41,479
Speaker 4: catch a super spotted cat, they're like, oh, man, that's

1974
01:38:41,560 --> 01:38:43,760
Speaker 4: crazy for around here, like we don't get them like that,

1975
01:38:43,800 --> 01:38:47,479
Speaker 4: And I'm like, they're there, m yeah, they're there.

1976
01:38:48,240 --> 01:38:52,759
Speaker 1: Irritated man. Yeah, when I get buried in Twin Lakes Cemetery.

1977
01:38:52,800 --> 01:38:55,920
Speaker 1: My grave is gonna say he should have been a cat.

1978
01:38:57,160 --> 01:39:00,519
Speaker 4: It's not too late. They're they're straight forward. If you

1979
01:39:00,560 --> 01:39:02,559
Speaker 4: can find, you got I've gotten a couple.

1980
01:39:02,640 --> 01:39:04,880
Speaker 1: But I mean, like really just doing it all the time,

1981
01:39:04,920 --> 01:39:05,360
Speaker 1: all day.

1982
01:39:05,479 --> 01:39:08,840
Speaker 4: Yeah. Yeah, Oh god, I am pretty jealous of like

1983
01:39:08,880 --> 01:39:11,200
Speaker 4: the high desert trappers that are just like it hits

1984
01:39:11,200 --> 01:39:13,080
Speaker 4: that certain day of the season and they get up

1985
01:39:13,120 --> 01:39:15,120
Speaker 4: in the mountains and they don't come down for like

1986
01:39:15,720 --> 01:39:19,000
Speaker 4: a month, month and a half ye with like a

1987
01:39:19,040 --> 01:39:24,280
Speaker 4: whole truckloaded just beautiful like eight hundred dollars cats.

1988
01:39:24,720 --> 01:39:27,679
Speaker 1: But yeah, for me, like, you've got some nice looking cats,

1989
01:39:27,800 --> 01:39:30,040
Speaker 1: I know, old traffic caates.

1990
01:39:30,120 --> 01:39:33,519
Speaker 4: Yeah, I know, I've been. I feel very fortunate to

1991
01:39:33,640 --> 01:39:35,600
Speaker 4: have gotten the ones that I have. They're beautiful, But

1992
01:39:35,720 --> 01:39:39,000
Speaker 4: those are those are taxidermy market cats. Those are not

1993
01:39:39,200 --> 01:39:42,160
Speaker 4: fur market cats. I don't think I've gotten. I haven't

1994
01:39:42,160 --> 01:39:43,639
Speaker 4: gotten one yet that I was like, Oh that would

1995
01:39:43,680 --> 01:39:45,240
Speaker 4: do really want the fur market? They just don't have

1996
01:39:45,280 --> 01:39:46,000
Speaker 4: the belly for it.

1997
01:39:46,320 --> 01:39:48,280
Speaker 1: So tell people to where how do they go find

1998
01:39:48,280 --> 01:39:48,759
Speaker 1: your market?

1999
01:39:49,240 --> 01:39:49,400
Speaker 8: Oh?

2000
01:39:49,479 --> 01:39:52,920
Speaker 4: Yeah, so I'm on Etsy. Little Shop of Firs is

2001
01:39:52,920 --> 01:39:53,599
Speaker 4: my shop name.

2002
01:39:54,360 --> 01:39:58,720
Speaker 1: So cute old trafficates little shop of firs. There you go,

2003
01:39:58,960 --> 01:40:02,320
Speaker 1: and you got so you got nothing like no sown.

2004
01:40:02,120 --> 01:40:06,679
Speaker 4: Goods I do. Sometimes I I've just kind of fallen

2005
01:40:06,760 --> 01:40:09,400
Speaker 4: behind in that since I started the Turkey project. It's

2006
01:40:09,400 --> 01:40:11,120
Speaker 4: a lot to keep up with, so I haven't done

2007
01:40:11,160 --> 01:40:15,400
Speaker 4: quite as much like pillow making and stuff. But I

2008
01:40:15,479 --> 01:40:21,120
Speaker 4: do have many unfinished pillows that once this survey season,

2009
01:40:21,320 --> 01:40:23,479
Speaker 4: once the summer season kind of dies down a little bit,

2010
01:40:23,520 --> 01:40:25,720
Speaker 4: I'm gonna get Yeah, and once my furs come back

2011
01:40:25,760 --> 01:40:28,639
Speaker 4: from this season, because I have a big, a big

2012
01:40:28,680 --> 01:40:30,519
Speaker 4: shipment that needs to go out. I have two more

2013
01:40:30,520 --> 01:40:32,360
Speaker 4: beaver pelts to flesh, and I want to send it

2014
01:40:32,360 --> 01:40:33,240
Speaker 4: out all in one shot.

2015
01:40:33,280 --> 01:40:34,960
Speaker 1: So I'm waiting, Wait, You're going to do some more

2016
01:40:35,000 --> 01:40:36,920
Speaker 1: beaver pillows and stuff for sure?

2017
01:40:37,120 --> 01:40:40,960
Speaker 4: Yeah, and I got. I'm I'm torn because I do

2018
01:40:41,040 --> 01:40:43,800
Speaker 4: want to make myself a blanket, and so I don't.

2019
01:40:43,840 --> 01:40:46,200
Speaker 4: I'm not sure how many beavers I want to get

2020
01:40:46,960 --> 01:40:50,240
Speaker 4: bea blankets I have. I haven't seen. I've seen pictures,

2021
01:40:50,479 --> 01:40:52,439
Speaker 4: but yeah, yeah.

2022
01:40:52,439 --> 01:40:55,439
Speaker 2: My most favorite thing I think, Yeah, oh my gosh.

2023
01:40:55,560 --> 01:40:59,680
Speaker 1: Yeah. My wife is like largely indifferent. I mean, when

2024
01:40:59,680 --> 01:41:01,240
Speaker 1: I'm going on hunt, she doesn't know where I'm at

2025
01:41:01,280 --> 01:41:02,720
Speaker 1: or what I'm hunting. Four kind of things, you know,

2026
01:41:03,400 --> 01:41:08,960
Speaker 1: largely indifferent. But the beaver blanket that she's like, that

2027
01:41:09,120 --> 01:41:12,599
Speaker 1: is badass. Yeah yeah, like all the things anything I've

2028
01:41:12,600 --> 01:41:14,200
Speaker 1: ever brought home. And I just got her a full

2029
01:41:14,320 --> 01:41:17,080
Speaker 1: mus muskrat bomber jacket, which she I got her at

2030
01:41:17,120 --> 01:41:19,160
Speaker 1: the end of the season. But she likes it. But

2031
01:41:19,240 --> 01:41:20,080
Speaker 1: like the beaver.

2032
01:41:19,920 --> 01:41:22,200
Speaker 3: Blanket, she's like like like work of.

2033
01:41:22,240 --> 01:41:23,639
Speaker 1: Art, you know, loves it.

2034
01:41:23,800 --> 01:41:24,400
Speaker 4: Just amazing.

2035
01:41:24,600 --> 01:41:27,640
Speaker 1: The only I never have to because otherwise she'll take

2036
01:41:27,680 --> 01:41:29,400
Speaker 1: a lot of times she'll take my stuff like put it.

2037
01:41:29,360 --> 01:41:32,320
Speaker 3: Somewhere, yeah, scroll it away, but she just squares.

2038
01:41:31,960 --> 01:41:34,360
Speaker 1: The beaver blanket out and leaves it out. It was

2039
01:41:34,400 --> 01:41:36,080
Speaker 1: it was good. It was a good call. You know.

2040
01:41:36,200 --> 01:41:36,839
Speaker 1: It's beautiful.

2041
01:41:37,200 --> 01:41:38,240
Speaker 3: How many we put because we did.

2042
01:41:38,320 --> 01:41:39,839
Speaker 1: Me and Seth had fifty beavers.

2043
01:41:40,120 --> 01:41:41,160
Speaker 4: Yeah, oh wow.

2044
01:41:41,360 --> 01:41:42,160
Speaker 7: Is that one year?

2045
01:41:43,439 --> 01:41:50,200
Speaker 1: I don't know. It was during COVID man we were

2046
01:41:51,960 --> 01:41:54,120
Speaker 1: it might have been like a fall and it might

2047
01:41:54,160 --> 01:41:56,000
Speaker 1: have been like I wish the pandemic was.

2048
01:41:58,080 --> 01:42:00,840
Speaker 4: Two years of like hunkering down. Yeah, So I was

2049
01:42:00,880 --> 01:42:02,800
Speaker 4: still in I was still in school at the time,

2050
01:42:02,920 --> 01:42:05,479
Speaker 4: and all the classes went online and I'm like, I

2051
01:42:05,560 --> 01:42:08,680
Speaker 4: cannot sit in front of my dude, I would I

2052
01:42:08,680 --> 01:42:10,360
Speaker 4: would take my phone because I'm like, I have to

2053
01:42:10,600 --> 01:42:13,280
Speaker 4: just like be in the zoom, Like I can't just

2054
01:42:13,320 --> 01:42:15,240
Speaker 4: be not there all the time. But i would put

2055
01:42:15,240 --> 01:42:17,640
Speaker 4: it on on zoom on my phone and tuck my

2056
01:42:17,680 --> 01:42:20,080
Speaker 4: phone into my waiters and I'd just be out there

2057
01:42:20,080 --> 01:42:23,120
Speaker 4: beaver trapping the whole time on my lectures going, and

2058
01:42:23,160 --> 01:42:25,240
Speaker 4: they'd like kick us into like little groups to do

2059
01:42:25,320 --> 01:42:28,920
Speaker 4: some kind of a some kind of like like side assignment.

2060
01:42:29,280 --> 01:42:31,840
Speaker 4: And I'm like, hey, guys, I'm a little indisposed right now.

2061
01:42:31,840 --> 01:42:33,439
Speaker 4: You're gonna have to do this by yourselves.

2062
01:42:34,320 --> 01:42:38,720
Speaker 1: Yeah, all the all the all the bad parts, notwithstanding,

2063
01:42:38,760 --> 01:42:40,600
Speaker 1: there were aspects of it of like a lot of

2064
01:42:40,640 --> 01:42:43,600
Speaker 1: camp and a lot of beaver trapping. Yeah, anyways, we

2065
01:42:43,640 --> 01:42:47,800
Speaker 1: had fifty and we like kept some Primo, we kept

2066
01:42:47,800 --> 01:42:52,120
Speaker 1: some Premiere ones had those two blankets made it still

2067
01:42:52,120 --> 01:42:53,599
Speaker 1: a lot left over and those are big now.

2068
01:42:53,840 --> 01:42:57,080
Speaker 2: Yeah, yeah, I don't know how many went into one.

2069
01:42:57,520 --> 01:42:57,840
Speaker 4: Oh.

2070
01:42:57,920 --> 01:43:02,600
Speaker 9: I want to say, my question is beaver amount I

2071
01:43:02,600 --> 01:43:03,080
Speaker 9: could take.

2072
01:43:02,920 --> 01:43:05,400
Speaker 4: You on this one blanket obviously. Do you guys have

2073
01:43:05,439 --> 01:43:08,120
Speaker 4: like throw blankets or is it like the full blank.

2074
01:43:08,520 --> 01:43:13,040
Speaker 1: No, no, No, they're like there's six feet by six by

2075
01:43:13,360 --> 01:43:16,479
Speaker 1: five maybe I don't know, pig, yeah, six by six.

2076
01:43:16,320 --> 01:43:18,160
Speaker 2: And they're like strip it's like strips.

2077
01:43:18,280 --> 01:43:20,240
Speaker 1: He let them all out. You know what that means.

2078
01:43:20,280 --> 01:43:25,720
Speaker 1: When you let them out. You caught him. You cut

2079
01:43:25,800 --> 01:43:28,919
Speaker 1: him so that one beaver makes a big long piece, gotcha.

2080
01:43:29,200 --> 01:43:34,400
Speaker 1: And then there's like there's literally miles there's miles of thread. Yeah,

2081
01:43:35,080 --> 01:43:41,759
Speaker 1: that wow, because you have less scenes. No, it's like you, he'd.

2082
01:43:41,520 --> 01:43:42,880
Speaker 3: Explained it on the phone.

2083
01:43:42,920 --> 01:43:43,240
Speaker 1: I didn't.

2084
01:43:43,280 --> 01:43:44,720
Speaker 3: I was doing one of those things that trying not

2085
01:43:44,840 --> 01:43:45,000
Speaker 3: to do.

2086
01:43:45,280 --> 01:43:47,960
Speaker 4: Yeah, like you like a spiral. Do you spiral it?

2087
01:43:48,040 --> 01:43:48,560
Speaker 2: Microphone?

2088
01:43:48,640 --> 01:43:49,559
Speaker 5: Do you spiral it?

2089
01:43:50,400 --> 01:43:52,240
Speaker 1: He told me, And I did the thing I don't

2090
01:43:52,320 --> 01:43:58,040
Speaker 1: like to do where I acted like I understood, not

2091
01:43:58,160 --> 01:43:58,559
Speaker 1: do that.

2092
01:43:59,080 --> 01:44:00,880
Speaker 3: You've been doing so well, and I was like, uh huh.

2093
01:44:02,680 --> 01:44:05,840
Speaker 1: In my mind, I'm like I can't picture it.

2094
01:44:05,840 --> 01:44:07,200
Speaker 3: It's a common thing in furs.

2095
01:44:07,280 --> 01:44:10,920
Speaker 1: What it does is you gives you it's very labor intensive,

2096
01:44:11,600 --> 01:44:12,240
Speaker 1: but you.

2097
01:44:12,160 --> 01:44:13,480
Speaker 3: Take a wide.

2098
01:44:14,920 --> 01:44:17,000
Speaker 1: You take a wide fur and it makes it that

2099
01:44:17,120 --> 01:44:19,679
Speaker 1: you can then sew it together and it gives you

2100
01:44:19,720 --> 01:44:24,559
Speaker 1: a big long strip. You're making these like you're making

2101
01:44:24,600 --> 01:44:27,679
Speaker 1: like a type of panels, and the panels are very

2102
01:44:27,760 --> 01:44:31,040
Speaker 1: long and and homogeneous, so you wind up these long,

2103
01:44:31,120 --> 01:44:35,960
Speaker 1: homogeneous panels, so then you can line the furs out.

2104
01:44:36,000 --> 01:44:40,160
Speaker 1: And let's say they're not uniform like every animals. You know,

2105
01:44:40,200 --> 01:44:42,879
Speaker 1: they're all different, but you kind of let you arrange

2106
01:44:42,920 --> 01:44:45,920
Speaker 1: them where maybe there's like a reddish, you take your

2107
01:44:45,960 --> 01:44:49,519
Speaker 1: reddish one and the reddish around the edge and it

2108
01:44:49,520 --> 01:44:53,880
Speaker 1: has a gradual fade to a dark and then it'll

2109
01:44:53,960 --> 01:44:56,760
Speaker 1: gradually fade the other way if they I think, if

2110
01:44:56,800 --> 01:44:58,920
Speaker 1: they were all exactly the same, Like that's the thing

2111
01:44:58,920 --> 01:45:01,320
Speaker 1: with ranch mink. Why ranch meet became a thing is

2112
01:45:01,360 --> 01:45:04,599
Speaker 1: like every mink is huge and every mink's the same,

2113
01:45:05,000 --> 01:45:05,519
Speaker 1: and you don't have the.

2114
01:45:05,560 --> 01:45:06,640
Speaker 3: Variability to deal with.

2115
01:45:07,120 --> 01:45:09,839
Speaker 1: But it's a way to like make big, long panels

2116
01:45:09,840 --> 01:45:11,400
Speaker 1: that are homogeneously colored.

2117
01:45:11,800 --> 01:45:15,679
Speaker 5: But those individual panels are stitched quite a bit.

2118
01:45:15,840 --> 01:45:18,479
Speaker 1: Yeah. Yeah, well he told me, and I'll say, who

2119
01:45:18,560 --> 01:45:18,800
Speaker 1: did it?

2120
01:45:18,880 --> 01:45:20,840
Speaker 3: He did a beautiful job. He's not looking for work.

2121
01:45:20,840 --> 01:45:24,799
Speaker 1: Don't even bother to call them, uh Clifford's critter creations.

2122
01:45:24,840 --> 01:45:28,320
Speaker 1: Don Clifford not looking for work. You have to beg them,

2123
01:45:28,479 --> 01:45:32,240
Speaker 1: call him, beg them if you want. He's doing man

2124
01:45:32,320 --> 01:45:34,840
Speaker 1: I shouldn't have said it. My next thing is I'm

2125
01:45:34,840 --> 01:45:38,519
Speaker 1: doing I'm doing. I'm doing a raccoon, full raccoon, and

2126
01:45:38,560 --> 01:45:43,479
Speaker 1: I'm doing so underrated. He wants eighteen Okay, he wants

2127
01:45:43,520 --> 01:45:44,479
Speaker 1: eighteen good ones?

2128
01:45:44,800 --> 01:45:48,320
Speaker 4: Okay, yeah, oh that would be soy in Kansas. I'm

2129
01:45:48,320 --> 01:45:52,760
Speaker 4: sure it's well, how's anyway?

2130
01:45:53,320 --> 01:45:58,400
Speaker 1: The problem is the bottleneck is don sewing three miles

2131
01:45:58,400 --> 01:45:59,080
Speaker 1: of thread together.

2132
01:45:59,560 --> 01:46:01,639
Speaker 2: Yeah, I don't.

2133
01:46:02,120 --> 01:46:05,639
Speaker 4: I don't have a machine. I do it all by hand.

2134
01:46:06,800 --> 01:46:10,960
Speaker 4: So the the concept of a blanket is intimidating, but

2135
01:46:11,040 --> 01:46:12,120
Speaker 4: I do really want to do it.

2136
01:46:12,320 --> 01:46:14,160
Speaker 1: You know what you should be buddies with? Are you

2137
01:46:14,160 --> 01:46:15,600
Speaker 1: buddies all with Heather Duville?

2138
01:46:16,360 --> 01:46:20,360
Speaker 4: No? So I've never actually interacted with her, but super interested,

2139
01:46:20,880 --> 01:46:22,920
Speaker 4: Like she's like right in my wheelhouse.

2140
01:46:23,200 --> 01:46:26,560
Speaker 1: She's working with like coastal Northern STU, different craters. But

2141
01:46:26,600 --> 01:46:27,479
Speaker 1: you guys should talk show.

2142
01:46:27,520 --> 01:46:31,120
Speaker 4: I'm looking at her power washing set up, like, oh please, I.

2143
01:46:31,160 --> 01:46:33,719
Speaker 1: Wish you guys should You guys should talk a little shop.

2144
01:46:33,920 --> 01:46:36,200
Speaker 4: Yeah. I don't think my neighbors would appreciate me blowing

2145
01:46:36,240 --> 01:46:38,479
Speaker 4: a bunch of a beaver fat out all.

2146
01:46:38,360 --> 01:46:41,800
Speaker 1: Over the well. She's gotten very sophisticated about so she's

2147
01:46:41,880 --> 01:46:44,520
Speaker 1: just so needle and thread. Yeah, got with the machines

2148
01:46:44,600 --> 01:46:47,840
Speaker 1: and like like has gotten sophisticated about the sow.

2149
01:46:48,120 --> 01:46:51,240
Speaker 4: Yeah, yeah, I need to get I'm definitely I definitely

2150
01:46:51,240 --> 01:46:57,640
Speaker 4: would not describe myself as a sophisticated uh for handler.

2151
01:46:58,400 --> 01:46:59,519
Speaker 1: Sophisticated trapper.

2152
01:47:00,080 --> 01:47:02,559
Speaker 4: Yeah, I mean I got to think about it. I'm like, man,

2153
01:47:02,600 --> 01:47:05,200
Speaker 4: this was only I only started it in twenty one,

2154
01:47:05,240 --> 01:47:08,400
Speaker 4: so I'm only four years in of like completely self taught,

2155
01:47:08,520 --> 01:47:12,479
Speaker 4: and there's there's so much to learn, so much.

2156
01:47:12,680 --> 01:47:15,880
Speaker 3: Yeah, yeah, the most the most bottomless pitch.

2157
01:47:16,040 --> 01:47:18,160
Speaker 4: Yeah, arguably, yes, hard.

2158
01:47:18,400 --> 01:47:20,680
Speaker 2: There's constantly new new techniques coming out.

2159
01:47:21,120 --> 01:47:23,840
Speaker 4: Yeah, and between like the actual like the tools. Yeah,

2160
01:47:23,880 --> 01:47:26,920
Speaker 4: between like the actual like trapping and then the fur

2161
01:47:27,000 --> 01:47:30,000
Speaker 4: handling and the tanning. And I tried to do tanning myself,

2162
01:47:30,080 --> 01:47:33,360
Speaker 4: and uh that took a little bit too much apparatus

2163
01:47:33,439 --> 01:47:36,000
Speaker 4: to get everything actually broken the way that it needed

2164
01:47:36,040 --> 01:47:36,240
Speaker 4: to be.

2165
01:47:36,680 --> 01:47:38,320
Speaker 1: You can't you can't scratch the surface.

2166
01:47:38,760 --> 01:47:42,080
Speaker 4: God no. So yeah, so I started sending to a tannery.

2167
01:47:42,240 --> 01:47:45,840
Speaker 1: So the little fur shops, little shop of furs on

2168
01:47:46,920 --> 01:47:48,080
Speaker 1: and it is quite dry.

2169
01:47:48,080 --> 01:47:51,120
Speaker 4: Right now, but low on product, low on product because

2170
01:47:51,160 --> 01:47:54,280
Speaker 4: I because I don't have my dermstids, and I am waiting.

2171
01:47:54,320 --> 01:47:56,280
Speaker 4: I sold out pretty much all the first from last

2172
01:47:56,280 --> 01:47:58,840
Speaker 4: season and I'm waiting on the next round to be

2173
01:47:58,880 --> 01:48:01,760
Speaker 4: back from the tannery. So I'm gonna get I'm gonna

2174
01:48:01,800 --> 01:48:05,679
Speaker 4: get to work when I settle down from this summer

2175
01:48:06,520 --> 01:48:07,240
Speaker 4: Turkey season.

2176
01:48:07,960 --> 01:48:09,120
Speaker 1: Thanks for coming on, I'm going to do it.

2177
01:48:09,200 --> 01:48:10,519
Speaker 4: Yeah, thank you, Thank you for having me.

2178
01:48:10,680 --> 01:48:12,200
Speaker 1: And hope you when you get your first shot where

2179
01:48:12,240 --> 01:48:13,719
Speaker 1: you filled it empties back out again.

2180
01:48:13,840 --> 01:48:15,200
Speaker 4: Yes, I hope.

2181
01:48:15,240 --> 01:48:18,760
Speaker 1: So, Maggie, what are you working on that people are

2182
01:48:18,760 --> 01:48:19,920
Speaker 1: going to be most excited about?

2183
01:48:20,240 --> 01:48:24,000
Speaker 3: For journalism type stuff most excited about?

2184
01:48:24,160 --> 01:48:26,760
Speaker 6: I think mostly we're just trying to stay on top

2185
01:48:26,800 --> 01:48:30,720
Speaker 6: of all the crazy policy stuff that's happening. It seems like,

2186
01:48:31,120 --> 01:48:35,400
Speaker 6: you know, there's a there's a new executive order every

2187
01:48:35,400 --> 01:48:35,880
Speaker 6: other day.

2188
01:48:36,160 --> 01:48:39,559
Speaker 3: It's been possible to follow and well hard to follow.

2189
01:48:40,120 --> 01:48:45,120
Speaker 6: It's difficult, and you know, things are getting snuck into

2190
01:48:45,120 --> 01:48:48,280
Speaker 6: the budget bills like selling off public lands and Nevada

2191
01:48:48,320 --> 01:48:51,879
Speaker 6: and Utah and the Dark and Night. There's just shady

2192
01:48:51,880 --> 01:48:54,639
Speaker 6: shit going on right now, and we're doing our best

2193
01:48:54,680 --> 01:48:57,080
Speaker 6: to stay on top of it and to get it

2194
01:48:57,120 --> 01:48:59,479
Speaker 6: out to the audience. So everybody else can stay on

2195
01:48:59,520 --> 01:49:04,000
Speaker 6: top of it, call their representatives make a fuss, because

2196
01:49:04,000 --> 01:49:07,479
Speaker 6: that's pretty much the only way we're gonna keep our

2197
01:49:07,640 --> 01:49:10,600
Speaker 6: public land secure and our wildlife protected.

2198
01:49:10,120 --> 01:49:11,400
Speaker 7: And all that.

2199
01:49:11,600 --> 01:49:14,960
Speaker 6: So, you know, it might not be the most exciting

2200
01:49:15,000 --> 01:49:17,360
Speaker 6: stuff to read, but I think it's the most important stuff.

2201
01:49:17,360 --> 01:49:18,920
Speaker 1: Do you even put a lot of energy into that

2202
01:49:19,040 --> 01:49:23,720
Speaker 1: just trying to track it? Yeah, if people followed, like

2203
01:49:24,040 --> 01:49:29,920
Speaker 1: how dizzying it was to follow the tariff situation, just

2204
01:49:29,960 --> 01:49:33,880
Speaker 1: like how rapidly evolving and continues to be. Like if

2205
01:49:33,920 --> 01:49:37,400
Speaker 1: you imagine with with with the wildlife world, in the

2206
01:49:37,400 --> 01:49:41,880
Speaker 1: public lands world, it's been as as chaotic as hard

2207
01:49:41,880 --> 01:49:45,040
Speaker 1: to follow, and pats really rapidly changing environment.

2208
01:49:45,160 --> 01:49:48,280
Speaker 6: Patri Can just wrote an article about how tariffs are

2209
01:49:48,600 --> 01:49:53,400
Speaker 6: impacting hunters and anglers, because you know, it's it's impacting

2210
01:49:53,520 --> 01:49:55,920
Speaker 6: every everyone in every which way.

2211
01:49:57,240 --> 01:50:00,000
Speaker 7: But yeah, it's to the point you made.

2212
01:50:00,240 --> 01:50:04,559
Speaker 6: I mean, it's happening so fast, and it's there's so

2213
01:50:04,920 --> 01:50:11,000
Speaker 6: much happening all at once, Like there's these water monitoring

2214
01:50:11,040 --> 01:50:13,920
Speaker 6: stations from the USGS that now have to be shut

2215
01:50:13,960 --> 01:50:17,679
Speaker 6: down this summer all across the country. The USGS doesn't

2216
01:50:17,880 --> 01:50:22,120
Speaker 6: totally understand, like what's going on with that, how that's

2217
01:50:22,160 --> 01:50:27,439
Speaker 6: going to like affect smaller you know, water monitoring stations

2218
01:50:27,439 --> 01:50:28,799
Speaker 6: on individual rivers.

2219
01:50:28,920 --> 01:50:30,519
Speaker 7: It's just there are so.

2220
01:50:30,600 --> 01:50:35,280
Speaker 6: Many changes that are happening without too much public comment,

2221
01:50:35,720 --> 01:50:39,400
Speaker 6: too much you know, is this a good idea? They're

2222
01:50:39,560 --> 01:50:43,599
Speaker 6: just being written in and we're going from there. So

2223
01:50:44,160 --> 01:50:46,960
Speaker 6: trying to stay informed is really important right now.

2224
01:50:47,200 --> 01:50:48,920
Speaker 3: Yeah, it is one of the.

2225
01:50:51,520 --> 01:50:57,280
Speaker 1: One of the things that I've liked least is the

2226
01:50:57,320 --> 01:51:01,719
Speaker 1: sense that a lot of the management decisions aren't coming

2227
01:51:01,800 --> 01:51:06,799
Speaker 1: from the agency heads and the people that are familiar

2228
01:51:06,800 --> 01:51:11,320
Speaker 1: with the policy, and so it has a some of

2229
01:51:11,360 --> 01:51:14,960
Speaker 1: it winds up having a kind of ham handed machete

2230
01:51:15,120 --> 01:51:19,280
Speaker 1: like quality to it. That and that's why you see

2231
01:51:19,320 --> 01:51:19,880
Speaker 1: things get.

2232
01:51:19,760 --> 01:51:22,719
Speaker 7: Reversed, like the federal firings.

2233
01:51:22,479 --> 01:51:25,960
Speaker 6: That's what happened too high up. There was no good

2234
01:51:26,000 --> 01:51:28,479
Speaker 6: reason all those people should have been fired.

2235
01:51:28,560 --> 01:51:30,400
Speaker 1: So and then there's people that are like, dude, if

2236
01:51:30,439 --> 01:51:32,840
Speaker 1: you made it easier for me to get rid of people,

2237
01:51:32,960 --> 01:51:34,920
Speaker 1: I got a big list of people get rid of,

2238
01:51:35,720 --> 01:51:38,320
Speaker 1: but my hands are tied and like, talk to me

2239
01:51:38,360 --> 01:51:39,080
Speaker 1: about cuts.

2240
01:51:39,439 --> 01:51:40,880
Speaker 7: Yeah, it's just at the local.

2241
01:51:40,680 --> 01:51:43,200
Speaker 1: Level because I know, like I know what, I know

2242
01:51:43,240 --> 01:51:46,200
Speaker 1: where the problems are and you're not hitting the problem right.

2243
01:51:47,560 --> 01:51:49,120
Speaker 1: That's been frustrating.

2244
01:51:48,960 --> 01:51:53,200
Speaker 6: And that's happening, you know with Jordan wrote an article

2245
01:51:53,240 --> 01:51:58,600
Speaker 6: about this. I think it was Jordan, but the the

2246
01:51:58,760 --> 01:52:03,639
Speaker 6: zero based budd for Environmental Policy. It's it's looking at

2247
01:52:03,680 --> 01:52:06,720
Speaker 6: all of these things like the Migratory Bird Act, the

2248
01:52:06,800 --> 01:52:10,040
Speaker 6: Clean Water Act, and it's going through that and saying

2249
01:52:10,040 --> 01:52:14,040
Speaker 6: that we need to look into everything that carries these

2250
01:52:14,080 --> 01:52:17,280
Speaker 6: acts out and they have to be you know, you

2251
01:52:17,320 --> 01:52:20,400
Speaker 6: can either keep them going for five years or.

2252
01:52:20,320 --> 01:52:22,439
Speaker 7: We have to like totally overhaul things.

2253
01:52:22,520 --> 01:52:26,559
Speaker 6: And it's like, I think it's asking to do too

2254
01:52:26,640 --> 01:52:30,000
Speaker 6: much at one time, like look at where there's issues,

2255
01:52:30,040 --> 01:52:34,960
Speaker 6: look at individual agencies, ask them to pinpoint where there

2256
01:52:35,040 --> 01:52:37,559
Speaker 6: are things that need to be fixed, not just say

2257
01:52:37,600 --> 01:52:41,240
Speaker 6: here's this whole list of everything. Let's swipe this down

2258
01:52:41,320 --> 01:52:45,880
Speaker 6: and start from zero. Because a lot of those acts

2259
01:52:45,880 --> 01:52:47,160
Speaker 6: were made for a reason.

2260
01:52:49,720 --> 01:52:51,200
Speaker 3: It's like what happened.

2261
01:52:52,640 --> 01:52:56,639
Speaker 1: Wow, Wow, hear.

2262
01:52:56,560 --> 01:52:56,960
Speaker 4: The end of that.

2263
01:53:00,080 --> 01:53:03,360
Speaker 5: A lot.

2264
01:53:07,400 --> 01:53:10,639
Speaker 1: It's like I don't want to be beat a dead horse.

2265
01:53:10,640 --> 01:53:13,760
Speaker 1: And it's not dead horse, it's a living horse. You

2266
01:53:13,840 --> 01:53:18,519
Speaker 1: might have a busted leg, like you if you look

2267
01:53:18,600 --> 01:53:24,719
Speaker 1: at how sort of like expertly, expertly executed things around

2268
01:53:24,760 --> 01:53:27,160
Speaker 1: the border were and how like quick and sort of

2269
01:53:27,200 --> 01:53:30,000
Speaker 1: like wow, how did that not happened a long time ago? Right?

2270
01:53:30,400 --> 01:53:33,200
Speaker 1: It's certain other certain other things that have happened with

2271
01:53:33,240 --> 01:53:36,360
Speaker 1: the administration has been like where it feels like expert,

2272
01:53:37,520 --> 01:53:40,080
Speaker 1: right and motivated, an expert. I just think a lot

2273
01:53:40,080 --> 01:53:42,639
Speaker 1: of things around the Land Management Agency just hasn't felt

2274
01:53:42,640 --> 01:53:45,720
Speaker 1: like it's coming from the most educated perspective and like

2275
01:53:45,880 --> 01:53:51,439
Speaker 1: really like I wish things were happening at a level

2276
01:53:51,479 --> 01:53:55,320
Speaker 1: where happening at a level where you had reform minded

2277
01:53:55,479 --> 01:54:00,400
Speaker 1: insiders that were doing things in a in a slower,

2278
01:54:00,479 --> 01:54:03,680
Speaker 1: more thought out yeah way, because I think there's good

2279
01:54:03,760 --> 01:54:05,559
Speaker 1: we're gonna do things, and then we're going to realize

2280
01:54:05,600 --> 01:54:09,040
Speaker 1: that we've made big costly mistakes, especially around a lot

2281
01:54:09,080 --> 01:54:11,320
Speaker 1: of fisheries management issues and art things where you're going

2282
01:54:11,360 --> 01:54:13,240
Speaker 1: to do a thing and then a couple of years

2283
01:54:13,240 --> 01:54:14,960
Speaker 1: are going to go by and you've made like a

2284
01:54:15,080 --> 01:54:19,479
Speaker 1: very expensive mistake. Yeah, and then and then need to

2285
01:54:19,479 --> 01:54:22,120
Speaker 1: throw money at it because you're because you're killing, because

2286
01:54:22,120 --> 01:54:25,400
Speaker 1: you're killing in industries, costing jobs.

2287
01:54:26,360 --> 01:54:34,160
Speaker 7: Mhmay on it, working on it.

2288
01:54:35,160 --> 01:54:36,920
Speaker 4: I've been getting articles to get sent.

2289
01:54:36,920 --> 01:54:38,320
Speaker 7: Into me while I'm sitting here.

2290
01:54:38,400 --> 01:54:40,480
Speaker 4: I actually I got some.

2291
01:54:40,720 --> 01:54:42,680
Speaker 6: You know, we were talking about the turkey and the

2292
01:54:42,720 --> 01:54:45,560
Speaker 6: graveyard earlier. I just had a writer send me one in.

2293
01:54:45,880 --> 01:54:49,240
Speaker 6: This guy got pulled over, had a live turkey in

2294
01:54:49,280 --> 01:54:50,280
Speaker 6: the back of his car.

2295
01:54:51,440 --> 01:54:52,200
Speaker 4: It was wounded.

2296
01:54:52,240 --> 01:54:54,240
Speaker 6: He shot it, but he was driving around with the

2297
01:54:54,320 --> 01:54:56,000
Speaker 6: live turkey in the trunk of his car.

2298
01:54:56,120 --> 01:54:59,960
Speaker 4: Did he know what I talked about this, Yes, a person,

2299
01:55:01,520 --> 01:55:04,520
Speaker 4: because I've seen before where like a deer got hit

2300
01:55:04,600 --> 01:55:07,560
Speaker 4: by a car and they loaded it up and it

2301
01:55:07,640 --> 01:55:10,640
Speaker 4: was just like knocked out and then it stands up

2302
01:55:10,680 --> 01:55:13,920
Speaker 4: in the bed.

2303
01:55:15,640 --> 01:55:18,680
Speaker 6: No, because this guy got pulled over like the next day.

2304
01:55:18,800 --> 01:55:20,640
Speaker 7: I think I was just quickly reading this.

2305
01:55:21,880 --> 01:55:24,120
Speaker 6: Yeah, he kept he had a turkey and a squirrel

2306
01:55:24,160 --> 01:55:26,200
Speaker 6: in the back and then.

2307
01:55:27,360 --> 01:55:31,120
Speaker 7: Spread From from my understanding.

2308
01:55:30,520 --> 01:55:33,560
Speaker 6: The squirrel looks pretty dead in the picture turkey. You

2309
01:55:33,600 --> 01:55:37,040
Speaker 6: can tell the turkey's live. It's looking at you. And

2310
01:55:37,080 --> 01:55:39,600
Speaker 6: then so he gets a ticket and then he gets

2311
01:55:39,640 --> 01:55:42,720
Speaker 6: pulled over like the next day or something, driving a

2312
01:55:42,760 --> 01:55:45,600
Speaker 6: different truck and he's got two dead turkeys.

2313
01:55:45,600 --> 01:55:47,080
Speaker 7: Still no license or nothing.

2314
01:55:47,360 --> 01:55:48,879
Speaker 4: That he shot with the twenty two.

2315
01:55:49,160 --> 01:55:51,840
Speaker 6: Which it's illegal to hunt turkeys with the twenty two.

2316
01:55:51,880 --> 01:55:52,840
Speaker 4: In his State.

2317
01:55:53,000 --> 01:56:01,360
Speaker 1: So the cemetery hunting cemetery I did.

2318
01:56:01,480 --> 01:56:04,040
Speaker 6: I was reading about the cemetery and it was right

2319
01:56:04,080 --> 01:56:05,360
Speaker 6: next to an old church.

2320
01:56:05,160 --> 01:56:05,720
Speaker 3: At the time.

2321
01:56:07,600 --> 01:56:10,760
Speaker 9: Giving out one of my best tips on here, true

2322
01:56:10,920 --> 01:56:11,680
Speaker 9: spot burning.

2323
01:56:12,080 --> 01:56:13,160
Speaker 3: I spot burning the whole.

2324
01:56:13,360 --> 01:56:15,920
Speaker 8: I recently came across the Instagram accounts this dude he like,

2325
01:56:16,080 --> 01:56:18,040
Speaker 8: I think he's a fishing guy and up in like

2326
01:56:18,240 --> 01:56:20,200
Speaker 8: washing or something, but he has a pet turkey.

2327
01:56:19,920 --> 01:56:21,480
Speaker 2: He takes in the boat with him.

2328
01:56:22,960 --> 01:56:25,800
Speaker 8: I saw a video he was Halbert fishing and like

2329
01:56:25,880 --> 01:56:28,400
Speaker 8: he pans over and his turkey's like in the boat gobbling,

2330
01:56:28,480 --> 01:56:29,840
Speaker 8: and it's like railing up a halbit.

2331
01:56:29,880 --> 01:56:30,360
Speaker 2: It was like the.

2332
01:56:32,280 --> 01:56:35,040
Speaker 1: If you go way back in our archive, we have

2333
01:56:35,120 --> 01:56:38,600
Speaker 1: an episode called The Bronze Back and the Whiffleball Bat,

2334
01:56:40,440 --> 01:56:43,720
Speaker 1: and it was an expert turkey caller named Guys Up

2335
01:56:44,200 --> 01:56:46,600
Speaker 1: and he grew up with a turkey and he would

2336
01:56:46,680 --> 01:56:50,160
Speaker 1: call that turkey in and then he'd wap it with

2337
01:56:50,200 --> 01:56:58,840
Speaker 1: a whiffleball bat to disincentivize it from coming in, and

2338
01:56:58,880 --> 01:57:00,800
Speaker 1: then he'd call it in and in because he was

2339
01:57:00,840 --> 01:57:03,600
Speaker 1: like he wanted it to be like getting tricked as bad.

2340
01:57:03,920 --> 01:57:14,760
Speaker 4: Yeah, yeah, hard, Okay, he just alarmedspaper.

2341
01:57:14,000 --> 01:57:16,200
Speaker 1: He wanted it to be that like he wanted it

2342
01:57:16,280 --> 01:57:20,960
Speaker 1: to be not wanting to get do yes. Yeah, And

2343
01:57:21,000 --> 01:57:21,960
Speaker 1: that's how he learned.

2344
01:57:23,200 --> 01:57:27,080
Speaker 4: That was his version of the whole He explains the

2345
01:57:27,080 --> 01:57:27,720
Speaker 4: whole process.

2346
01:57:28,040 --> 01:57:31,840
Speaker 1: Yeah, yeah, I don't know. In the old days, when

2347
01:57:31,840 --> 01:57:33,760
Speaker 1: your dog did something bad, you'd give it a little.

2348
01:57:33,680 --> 01:57:36,200
Speaker 4: Yeah, I'm not trying to hurt it.

2349
01:57:36,240 --> 01:57:38,640
Speaker 3: But the dogs like, yees, I'm not.

2350
01:57:38,640 --> 01:57:39,280
Speaker 1: Gonna do that again.

2351
01:57:39,640 --> 01:57:40,520
Speaker 4: I spaced out.

2352
01:57:40,560 --> 01:57:43,400
Speaker 6: I thought you made like hunting the turkey with a

2353
01:57:43,440 --> 01:57:44,000
Speaker 6: whiffle bag.

2354
01:57:44,080 --> 01:57:47,760
Speaker 4: I was like, that's gonna take a lot. I can't

2355
01:57:47,800 --> 01:57:49,040
Speaker 4: even be mad about.

2356
01:57:49,320 --> 01:57:52,120
Speaker 1: He'd hide, call it in, and then scared the hell out,

2357
01:57:53,160 --> 01:57:55,160
Speaker 1: so that a while later when he called in the

2358
01:57:55,200 --> 01:57:58,120
Speaker 1: turkeys like like a hunted turkey, he's like, man, I

2359
01:57:58,120 --> 01:57:59,800
Speaker 1: don't want to I want to go over there. I

2360
01:57:59,840 --> 01:58:00,920
Speaker 1: mean his turkeys over there.

2361
01:58:01,000 --> 01:58:02,000
Speaker 3: What I don't want is.

2362
01:58:05,840 --> 01:58:08,240
Speaker 1: And that's how he became really good at calling turkeys

2363
01:58:08,280 --> 01:58:11,320
Speaker 1: because he kept fooling that Brown's back who was paranoid.

2364
01:58:12,720 --> 01:58:14,800
Speaker 9: So he wasn't trying to keep the turkey safe from

2365
01:58:14,880 --> 01:58:17,120
Speaker 9: other hunters. He was trying to make a challenge for him.

2366
01:58:17,400 --> 01:58:20,240
Speaker 1: Trying to make a challenge. He's trying to make it

2367
01:58:20,320 --> 01:58:21,840
Speaker 1: like if I went out, I could go out like

2368
01:58:21,880 --> 01:58:23,800
Speaker 1: you could probably if you had a handful of corn,

2369
01:58:25,200 --> 01:58:27,440
Speaker 1: and every time you called, you gave that turkey a

2370
01:58:27,440 --> 01:58:30,280
Speaker 1: handful of corn. He's gonna become real easy to call in.

2371
01:58:30,480 --> 01:58:30,800
Speaker 4: Yeah.

2372
01:58:30,880 --> 01:58:34,240
Speaker 1: Yeah, But if you hit him with a bat, a

2373
01:58:34,280 --> 01:58:37,360
Speaker 1: love tap, with a whippleball bat, he's gonna geta.

2374
01:58:37,600 --> 01:58:39,680
Speaker 9: Like the same scenario of a turkey gets missed a

2375
01:58:39,720 --> 01:58:43,440
Speaker 9: couple of times in actuality, he's like not this time.

2376
01:58:43,720 --> 01:58:46,840
Speaker 1: It's like I'm not going over there man like that.

2377
01:58:48,800 --> 01:58:52,200
Speaker 1: Thanks everybody. Yeah, I appreciate everybody coming on.

2378
01:58:52,800 --> 01:58:57,000
Speaker 5: Thanks for having me listen to Lake's podcasts podcast Yeah

2379
01:58:57,560 --> 01:59:00,520
Speaker 5: today because this episode will drop on June nine.

2380
01:59:00,880 --> 01:59:03,840
Speaker 4: He is going to be the missing link between biology

2381
01:59:04,320 --> 01:59:06,440
Speaker 4: and policy and human dimensions.

2382
01:59:07,440 --> 01:59:08,240
Speaker 1: I appreciate a.

2383
01:59:08,240 --> 01:59:11,240
Speaker 9: Little because you can go on and leave a little

2384
01:59:11,240 --> 01:59:13,880
Speaker 9: review hype Apple.

2385
01:59:14,000 --> 01:59:17,920
Speaker 1: Yeah, that's a T shirt

2386
01:59:19,640 --> 01:59:42,480
Speaker 3: All right, Thanks every boy,