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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 listeningcast.

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Speaker 2: You can't predict any of this. The Meat Eater Podcast

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Speaker 2: is brought to you by First Light. Whether you're checking

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Speaker 2: trail cams, hanging deer stands, or scouting for el, First

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Speaker 2: Light has performance apparel to support every hunter in every environment.

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Speaker 2: Check it out at first light dot com. F I

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Speaker 2: R S T L I T E dot com. Dude,

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Speaker 2: I'm up to my neck and nostalgia right now being

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Speaker 2: here Cal you're feeling it?

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Speaker 3: Oh yeah, Missoula, Missoula guy for sure.

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Speaker 2: Is the reason you can't put that on your head?

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Speaker 3: Well, because I'm supposed to bequeued up to record Clay

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Speaker 3: on the guitar.

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Speaker 2: Oh well, putting it on for a second.

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Speaker 3: Well, who's doing the runner show?

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Speaker 2: How long is it gonna take you to put on?

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Speaker 2: There we go.

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Speaker 3: I'm just trying to be very respectful to our guys

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Speaker 3: who are editing these things. We're like, don't touch the

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Speaker 3: idem microphone.

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Speaker 4: Oh yeah, well I can tell you that that guys

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Speaker 4: is me. Yes, and this is a special special case,

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Speaker 4: go ahead and touch the mic I.

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Speaker 2: Spent I mean I lived here for almost a decade.

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Speaker 3: Oh yeah, just just this building alone, the Wilma a

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Speaker 3: lot of We could do an entire podcast based off

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Speaker 3: of experiences had in and around the Wilma Theater.

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Speaker 2: I have spent nights in this building, as have I. Yeah,

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Speaker 2: I had an older girlfriend that lived above us. Ye

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Speaker 2: right now, she doesn't know that right now, but she

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Speaker 2: did live there right now. And back in those days

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Speaker 2: they didn't have a regular elevator. There was an elevator man.

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Speaker 2: This is in the late nineties. There was an elevator

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Speaker 2: man that had to operate the elevator with a throw switch.

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Speaker 2: His name was Scoot and Newton. And anytime if you

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Speaker 2: came in at two in the morning, after the bars closed,

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Speaker 2: you'd knock on Scoot and Newton's door. He slept in

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Speaker 2: his Chuck Taylor's. He would come out and do the

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Speaker 2: out deliver you to your floor. And the hydraulics were

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Speaker 2: a little weird in the elevator, so it'd always settle

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Speaker 2: and Scoot and Newton would like he'd overshoot the room.

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Speaker 2: He'd play the settle, he'd overshoot the room, throw the switch,

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Speaker 2: and he'd always be looking at that crack.

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Speaker 5: A man who knows his equipment.

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Speaker 2: Yeah, he'd always be looking at that crack, and you

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Speaker 2: could tell that he'd like to just layer in there,

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Speaker 2: right flush, That's right.

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Speaker 3: It wasn't about customer satisfaction. It was just about him

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Speaker 3: being pro at his game.

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Speaker 2: Yep. I'm sure there's probably like weather changes would throw

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Speaker 2: that thing off, you know.

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Speaker 3: Yeah, but an old building.

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Speaker 2: Yeah, And then I saw Steve Earle here. Oh cool.

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Speaker 2: In my Buffalo book, I talk about a guy a

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Speaker 2: very pinnacle like a like a a major player, kind

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Speaker 2: of a major player in Buffalo restoration. The animal Recovery

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Speaker 2: of the species drank himself to death under the bridge

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Speaker 2: that we're under right now. When I was working on

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Speaker 2: my first book, Scavenger's Gude to Oak Cuisine, the pigeons

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Speaker 2: I was raising I caught under this bridge. We'd come

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Speaker 2: down here with a extension ladder at night, hoping not

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Speaker 2: get trouble with the cops, and catch pigeons and collect

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Speaker 2: eggs under here and raise them. Not far from here,

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Speaker 2: the crayfish in that book came from under this bridge.

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Speaker 2: One time I was walking over this bridge and saw

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Speaker 2: a bike in the river and rode that bike for

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Speaker 2: years until someone stole it. Get this at this building. Yeah,

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Speaker 2: I found it one hundred yards from here and lost

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Speaker 2: it twenty yards from here. I had two.

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Speaker 3: Buddies that decided it would be a great idea, like

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Speaker 3: the best idea ever to have rooms in this building,

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Speaker 3: and then like very quickly decided that being in such

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Speaker 3: tight proximity to all the bars and stuff was actually

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Speaker 3: in fact a bad idea to live in this building.

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Speaker 3: So they vacated pretty quick, but they lived here. And

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Speaker 3: then my high school, Hellgate High School, we used to

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Speaker 3: do like cleanups for you know civil service type of

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Speaker 3: days that were always right down here, cleaning up you know,

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Speaker 3: trash and all that stuff. The playground. I got some

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Speaker 3: dirty stories about that playground, but the clean ones, it

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Speaker 3: was like we came down and helped, like it was

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Speaker 3: like a habitat for humanity project or something that we

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Speaker 3: chipped in and built part of that playground through the

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Speaker 3: high school and then yeah, bartended it at Red's and

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Speaker 3: Missoula Club, which is you know, stone's throw from here Cow.

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Speaker 2: The first night I ever spent in Montana, I came

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Speaker 2: in from the way, like my brother Danny was doing

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Speaker 2: a job working on a salmon project on a walla

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Speaker 2: wall of Washington. He was working on like a snake river.

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Speaker 3: The city is so nice?

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Speaker 2: Is that what it is?

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Speaker 3: They named it twice?

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Speaker 2: Yeah, oh, okay, is it what river's right there? Is

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Speaker 2: that the same? Yea, no, no, no, it's the salmon Anyways,

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Speaker 2: he was working on a salmon project there. I was

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Speaker 2: still finishing up regular college in Michigan. I flew out here,

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Speaker 2: me and him went fishing all over Hell. We fished

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Speaker 2: the Saint Joe's. Uh fished. We fished the court Lane.

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Speaker 2: We fishing Courtlane around there and went we fished the

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Speaker 2: Saint Joe's. Came in a ninety from the west, Okay,

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Speaker 2: And I just remember like kind of like entering this town.

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Speaker 2: And we decided to stop here for the night. And

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Speaker 2: we first thing we did was we went to this

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Speaker 2: place that later became like appears like a bar pizza joint. Well,

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Speaker 2: we found a hotel and we got a steep discount

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Speaker 2: because some dudes had changed the oil of their motorcycle.

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Speaker 2: In the hotel. There was a motel and there was

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Speaker 2: a there was an oil stain the size of a

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Speaker 2: bushel basket that sounds like the thunderbird and they gave

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Speaker 2: us like they let us have it for next to nothing.

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Speaker 2: They're like, well, we have a room, but we're not

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Speaker 2: letting it out because these assholes were changing their motorcycles

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Speaker 2: oil in the room and spilled it over. But you

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Speaker 2: guys could take the room and got for next to nothing.

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Speaker 2: Went down to that like pizza joint bar. I can't, oh, Rhino?

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Speaker 3: Did the Rhino have pizza?

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Speaker 2: I don't remember. Maybe later became Pete, went to the Rhino,

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Speaker 2: went to Charlie Bees, where I wound up spending like

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Speaker 2: years of my life. Went to Charlie Be's. I remember

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Speaker 2: seeing like there was a lot of girls there that

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Speaker 2: had like h like scabs on their elbows and knees,

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Speaker 2: like hard hitting rafting guides right, And I thought, man,

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Speaker 2: I'm gonna come to school here. And I'm not kidding

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Speaker 2: you because I was fixing to go to graduate school.

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Speaker 2: Went down to the university this is like in the summer,

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Speaker 2: walked all around and got a pamphlet. I mean I

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Speaker 2: got a pamphlet simpler times. Yeah, I got a pamphlet

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Speaker 2: from the school in a building that I later got

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Speaker 2: a job scrubbing the toilets in. When I first got

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Speaker 2: into school and at that point forward pretty much had

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Speaker 2: my mind fixed on moving to this town and all

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Speaker 2: those adventures, right, like this is all happening like right here.

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Speaker 3: Yeah, just just something clicked with you.

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Speaker 2: It's like one last thing.

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Speaker 3: Missoula was way different.

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Speaker 2: Way different. It was crazy.

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Speaker 3: Yeah. Well, when the town changed a bunch as like

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Speaker 3: the mills shut down because there was actually like shift

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Speaker 3: work going on. And this isn't like a point of

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Speaker 3: pride or anything. But you know, people would probably think

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Speaker 3: I'm lying if I was like, well, yeah, there was

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Speaker 3: a strip club on main Street, like the main strip

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Speaker 3: of downtown stores.

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Speaker 2: Yeah, delt Poker, right, Brains and Eggs.

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Speaker 3: Yeah, people would be like, no, that doesn't know, No,

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Speaker 3: next to the wine bar. Yeah, you know, yeah, it's

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Speaker 3: just weird, weird.

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Speaker 2: Yeah. What was that place called? I've been in there.

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Speaker 3: The Oxford is still there.

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Speaker 2: No, they had the club, the Gentleman's Club.

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Speaker 3: Yeah, and I can't remember the name of it at

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Speaker 3: this point either. But Von Richter, my old manager at

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Speaker 3: Red's Bar, uh, that's where he started bartending, was down there.

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Speaker 2: One of my one of my pinnacle moments as a writer.

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Speaker 2: I was living I was living on the other side

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Speaker 2: of the river more towards the university from here, and

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Speaker 2: I had just done this deal where I'd been up

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Speaker 2: bear hunting up on the north fork of the Flathead,

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Speaker 2: and we're coming back, and like it was so weird.

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Speaker 2: There'd been a big burn, it was called the Moose Fire,

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Speaker 2: and there's just trucks lined up and down the road,

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Speaker 2: trucks and campers and stuff. There's a lot of glacier traffic, right, Okay,

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Speaker 2: what's going on? I remember guys like me mells shiploads,

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Speaker 2: and it was just like unlike one of those burn

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Speaker 2: sprouts or just you couldn't even comprehend the amount of morals.

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Speaker 2: I remember there was a moose track, like a moose

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Speaker 2: had come through that burn after and when it was

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Speaker 2: kind of wet and sooty, and a moose had come

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Speaker 2: through that burn and whatever his tracks had like done

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Speaker 2: something magical to the ash and compressed it in some way. Yeah,

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Speaker 2: and track full of morels, Yeah, morels everywhere. And so

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Speaker 2: I came home and there was a very influential it's

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Speaker 2: still around, but at the time, the New Yorker magazine

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Speaker 2: was like a super influential magazine, and I had like

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Speaker 2: I knew some guys that I met through school that

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Speaker 2: wrote there, and one of Ian Fraser was like, you

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Speaker 2: should do a talk of the town. These things, these

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Speaker 2: like little news bits in the front of the New

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Speaker 2: Yorker which were prestigious. Then it's like, you should do

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Speaker 2: a talk of the town on fires and morals. And

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Speaker 2: I couldn't. And I knew I had a deadline, like

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Speaker 2: it had to be immediate, right, And I dropped everything

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Speaker 2: and I worked on that thing like no one had

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Speaker 2: It's at talk of the Town is eight hundred words.

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Speaker 2: I worked on that all like like twelve hours a day,

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Speaker 2: sixteen hours a day, whatever it was. It took me three.

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Speaker 6: Weeks because I knew I had a chance, and I

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Speaker 6: knew they were interested in seeing it. It took me

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Speaker 6: three weeks crippling anxiety or and the only break I

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Speaker 6: would take, I'm not kidding you, is we would go in.

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Speaker 6: We would go in and we could.

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Speaker 2: Walk down kind of like go on one angle from

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Speaker 2: our house and jump into the Clark Fork River with

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Speaker 2: an inner tube. It was hot that summer, and you

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Speaker 2: could float through town and cool off and swim and

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Speaker 2: whatnot and get out and walk at a different angle

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Speaker 2: back to the house. Yeah, remember one time coming down

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Speaker 2: and hitting.

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Speaker 3: This pointing because you floated down you.

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Speaker 2: Kind of like float past your house and you know

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Speaker 2: you're coming like like you're like, let's say your house

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Speaker 2: is at the hub of a wheel. You follow one

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Speaker 2: spoke out at a forty five, it in and come

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Speaker 2: back at another spoke out of forty five. Super hot day.

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Speaker 2: I remember coming down there, like trying somehow to get

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Speaker 2: my article and getting out at the bridge, like getting

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Speaker 2: out right where we're at and walking up Higgins and

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Speaker 2: getting a smoothie and having a laugh because coming back

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Speaker 2: I could still see my wet footprints coming up out

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Speaker 2: of the river. Got back in river and eventually got

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Speaker 2: that thing done and they published it, and it was

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Speaker 2: like something mentally, like something happened to me mentally, And

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Speaker 2: then I was do you know what I mean? Oh,

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Speaker 2: that's like something mentally happened to me after having accomplished that.

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Speaker 3: That's amazing. It's just like, how much just straight up

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Speaker 3: dicking around you did in this town. That was wasted

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Speaker 3: so much time unproductive compared to that wasted so much time.

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Speaker 7: What have you two crossed pens at anytime?

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Speaker 2: Oh? I'm sure, Yeah, I'm sure. Yeah.

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Speaker 3: For a while, I thought Steve was a teacher of mine.

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Speaker 3: Like when we were first starting to get to know

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Speaker 3: each other. I had this class, you know, it was

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Speaker 3: all taught by grad students, and it was a writing class,

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Speaker 3: and I was like, when we first started getting to

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Speaker 3: know each other, I was like, oh my god, this

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Speaker 3: is just like we're going to see each other eye

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Speaker 3: to die and make this connection of immediately disliking each

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Speaker 3: other because I had a big blow up. We were

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Speaker 3: like setting trustes or something. At the job site. I

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Speaker 3: had an A in the class, and the thing that was,

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Speaker 3: I had an A in everything curriculum based. I had

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Speaker 3: an F in attendance. And I was always like trying

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Speaker 3: to make the case of like, well, I actually am

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Speaker 3: working versus you the graduate student who just sit here

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Speaker 3: and do nothing. Graduate students love that when they're in

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Speaker 3: a teaching position.

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Speaker 2: That was mean. I'll tell you how I know it

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Speaker 2: wasn't me when I applied to come here. There's a

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Speaker 2: whole long story. It even involves when OJ was running

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Speaker 2: away in his Tronto and his Bronco. I'm not kidding you.

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Speaker 3: I can still see my grandma just plugged in to

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Speaker 3: that every day.

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Speaker 2: Yeah, this is how I came to be here, plays

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Speaker 2: into OJ's truck chase. It's so weird. I can't get

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Speaker 2: you all the details. I applied for a like a

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Speaker 2: fellowship where you get a tuition waiver, didn't get it.

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Speaker 2: They kind of like the program I was in was

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Speaker 2: like a lot of like Ivy League kids, kids from

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Speaker 2: real high flute in school, not from a ski gun,

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Speaker 2: but would roll the dice on like like now and

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Speaker 2: then like roll the dice on an unexpected candidate, and

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Speaker 2: like I later learned, I was like the dice roll Okay.

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Speaker 2: So I tried to get a fellowship and I didn't

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Speaker 2: get a fellowship, so I had to come anyway and

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Speaker 2: pay tuition. So I couldn't afford the tuition, so I

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Speaker 2: had to come and take a light course load and

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Speaker 2: to get residency.

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Speaker 3: Yep.

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Speaker 2: Later as I came to establish myself within the program,

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Speaker 2: they offered me a fellowship, but out of pride, because

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Speaker 2: they didn't give it to me when I wanted it.

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Speaker 2: I wouldn't take it just by that. I was doing

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Speaker 2: tree work anyways. But the first when I came, I

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Speaker 2: had to get like while I was trying to find

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Speaker 2: a regular job. I had to get a part time job,

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Speaker 2: and so you could get a part time job through

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Speaker 2: the school, and they gave me a job. My classes

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Speaker 2: were all in the LA building. They gave me a job.

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Speaker 2: I'm not kidding you. They gave me a job scrubbing

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Speaker 2: toilets in the building where all my classes were. And

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Speaker 2: it would put these Ivy League kids in this super

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Speaker 2: weird situation. They'd come in to take a piss and

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Speaker 2: there I am their classmates scrubbing the toilet, and I

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Speaker 2: remember one of them was so like kind of like

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Speaker 2: taking it back they put they put out the at

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Speaker 2: least it must be convenient, because you're right here.

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Speaker 3: You're like, yeah, yeah, I'm glad we have that.

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Speaker 2: That's why I took the job. Yeah, dude, it was

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Speaker 2: a wild, wild time in my life. Man. Oh I

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Speaker 2: so later tonight you're gonna hear uh, we're gonna do

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Speaker 2: a show up here. I saw Steve Earl. I can't

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Speaker 2: even think of who.

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Speaker 3: I say, you need to get Steve Earl on the podcast.

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Speaker 3: He's he's a public Lands dude, loves to fish.

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Speaker 2: The reason I haven't is we just totally disagree on

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Speaker 2: capital punishment. But I just don't see that coming up.

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Speaker 5: I would love to have a feeling it could be

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Speaker 5: a freewheeling conversation.

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Speaker 2: I would love to have him on. I don't want

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Speaker 2: to talk about Capitol Punt. There's plenty of places we lined.

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Speaker 2: I saw him in Bozeman, I saw him in Missoula.

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Speaker 2: Our playlist that we play before the live shows, so

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Speaker 2: when we turn our playlists on tonight has Steve Earl

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Speaker 2: tunes on it. Huge.

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Speaker 3: Steve Earl ticks me off about uh folks who like

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Speaker 3: don't listen to Steve Earl and they're like, yeah, I'm

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Speaker 3: going to Steve Earl concert. They'll be like, oh, is

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Speaker 3: he gonna play? And they'll rattle off like one of his.

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Speaker 6: Hits, Copperhead Rode I hope so like copper Yeah exactly,

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Speaker 6: And you're like, sure, hope, so is.

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Speaker 2: What I want? Or is he gonna do? I feel

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Speaker 2: all right, Oh that's good, that's my too.

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Speaker 3: Yeah. Galway girl's great man.

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Speaker 2: I'd love he's a fisherman.

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Speaker 3: Yeah.

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Speaker 2: Yeah. I just feel so strongly about capital punishment.

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Speaker 3: In favor of lightening our tax load.

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Speaker 2: No, just something and I don't think of it as

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Speaker 2: like I don't think of it as deterrent. I just

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Speaker 2: think there's some things that are so heinous. I just

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Speaker 2: think of it like a revenge.

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Speaker 7: It's on brand that you supported the gravel pit dog

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Speaker 7: killing then of Christin Yes, okay, they did brand.

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Speaker 3: In the Guardian article they did use the word execution,

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Speaker 3: which I go back and forth with, like using that

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Speaker 3: type of language, which I feel is like typically reserved

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Speaker 3: for humans.

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Speaker 2: Well you remember when Pebble's the bear was killed, he

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Speaker 2: was assassinated?

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Speaker 3: Yeah, well that, uh, what I feel like is a

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Speaker 3: grossly out of taste, out of touch those billboards that

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Speaker 3: are around Bozeman, which is like stop the bison genocide.

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Speaker 6: Oh yeah, sense yeah, Like.

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Speaker 3: Like let's just round up a handful of tribes in

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Speaker 3: Montana and see what their association to genocide is.

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Speaker 2: That it's pretty out of touch. It's misleading word choice,

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Speaker 2: which is something I never engage in. We're gonna do

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Speaker 2: a show tonight here in the Wilmot, which is which

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Speaker 2: is uh, like I said, heat with nostalgia. And one

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Speaker 2: thing we're gonna hear tonight is we're gonna hear Clay

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Speaker 2: and Phil perform and Phil, do you have a mic

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Speaker 2: on Phil?

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Speaker 3: I do? Yeah?

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Speaker 2: Phil has been playing at all of our live shows.

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Speaker 2: Phil has been playing his harmonica, which you're not a

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Speaker 2: historic harmonica player.

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Speaker 4: No, I Uh, I heard Clay was playing playing the show,

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Speaker 4: and I kind of wanted to just make myself more

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Speaker 4: useful on this tour. Is honestly, when I've decided when

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Speaker 4: I was asked to come, I didn't know what I

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Speaker 4: was going to be doing.

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Speaker 2: Is that right?

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Speaker 3: Yeah?

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Speaker 4: So I was like, oh, I don't I don't just

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Speaker 4: want to be uh dead weight. So I asked Clay, like, hey,

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Speaker 4: would you want some accompaniment? And he was super generous

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Speaker 4: and said said yes. So I was like, man, I

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Speaker 4: should I got to learn an instrument. I can play

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Speaker 4: with Clay, but I've played music all throughout my childhood

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Speaker 4: in high school. So it's like I think I told you,

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Speaker 4: I'm like master of none and jack of all trade,

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Speaker 4: Like I can I can learn something quickly. I'm not,

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Speaker 4: by any means a.

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Speaker 3: Great harmonica player, but I get it. I get the

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Speaker 3: job done.

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Speaker 5: Did you choose the harmonica for the ease of transport?

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Speaker 3: That was definitely a factor.

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Speaker 2: Well, he blew went out on the tour.

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Speaker 5: Really, yeah, I didn't know you could blow out hard,

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Speaker 5: you know, I did play it so hot it only

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Speaker 5: lasted him three nights.

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Speaker 3: We need the fortnight show. We need to get him

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Speaker 3: one of those vests so he can have several harps.

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Speaker 5: Well, yes, and a.

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Speaker 2: Bob Dylan holder.

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Speaker 3: Oh yeah, I love it.

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Speaker 2: So his hands are free.

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Speaker 3: Yep.

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Speaker 2: I think you should do both the songs. You get

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Speaker 2: well of them. Well, you don't want to do both

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Speaker 2: your No, I mean yeah, I can't.

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Speaker 6: I'd say it's a lot of live music for a podcast. Okay,

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Speaker 6: let's just cut to the one where your podcast. Yeah,

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Speaker 6: let's cut to the more Phil places his harmonica. Alrighty, Yeah,

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Speaker 6: it's kind of it's kind of the show stopper, you know, yep,

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Speaker 6: the show starter.

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Speaker 2: Yeah, it's a show. We need to show stopper. Don't

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Speaker 2: stop the show with it.

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Speaker 6: Now, we need to We need to get down.

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Speaker 3: I got you.

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Speaker 6: We need to sit down, Phil.

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Speaker 2: Yeah, we do.

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Speaker 4: Otherwise I gotta make some camera adjustments.

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Speaker 2: And that's just his foot tambourine.

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Speaker 5: Is this a foot stomper? Are we supposed to the audience.

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Speaker 5: It's just one thing I've learned from musicians. They don't

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Speaker 5: like because the audience gets going and they're they're not on.

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Speaker 4: They started clapping h a few days ago during the

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Speaker 4: the Your First, Your First song, and I was I

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Speaker 4: was really worried.

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Speaker 2: Then it kind of died off.

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Speaker 6: You know, when you're on stage, it's so loud you

394
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Speaker 6: can only hear yourself.

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Speaker 2: Yeah, they got a big monitors, so they're throwing you off.

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Speaker 6: They probably would if they if all of them got

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Speaker 6: to do in it.

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Speaker 4: But most humans aren't good at keeping a tempo, especially

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Speaker 4: when you got like five hundred of them all trying

400
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Speaker 4: at the same time.

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Speaker 6: This is a little bit harder because I can't I

402
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Speaker 6: can't really hear my guitar.

403
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Speaker 2: But it's okay. We got it.

404
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Speaker 6: Me and Phil Man I've said it a couple of times,

405
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Speaker 6: like I feel like Merle Haggard. I feel like I've

406
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Speaker 6: been on the tour of my whole life. All I

407
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Speaker 6: think about is the music.

408
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Speaker 2: Like Phil said last night, when when you get home,

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Speaker 2: the rest of the world wi I've moved on, And.

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Speaker 6: Yeah you're still there at the same Yes, all right,

411
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Speaker 6: can you quick give a little background on old slew foot?

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Speaker 6: So this is just an old folk song?

413
00:20:23,040 --> 00:20:25,480
Speaker 2: Does that? Does it known? Who is does it? I

414
00:20:25,520 --> 00:20:26,120
Speaker 2: don't even know.

415
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Speaker 6: I don't even know who originally wrote it. I don't know,

416
00:20:31,359 --> 00:20:34,560
Speaker 6: but all the all the folk bands sing it.

417
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Speaker 2: You know, it's your traditional song.

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Speaker 6: It's a traditional song and it's about a bear hunt

419
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Speaker 6: with dogs, which is pretty cool.

420
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Speaker 2: Have you listened to The Grateful Dead's album Reckoning, It's

421
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Speaker 2: like traditional songs I have none.

422
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Speaker 6: You might like some of those, Yeah, I bet I would.

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Speaker 6: All right, you're ready, Phil, Let's do it all right.

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Speaker 6: This is old slew Foot. It's a great song.

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Speaker 2: You're gonna beller it right.

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Speaker 6: I'm gonna do my best. It's a little bit harder sitting.

427
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Speaker 8: Down high on the mountain top. Tell me what you see?

428
00:21:05,160 --> 00:21:08,600
Speaker 6: Bear tracks, bear tracks looking back at me.

429
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Speaker 9: You better get your ripples bus before it's too late.

430
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Speaker 8: Bear's got a little pig and he's headed.

431
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Speaker 10: For the Gameoh he's big around the middle, and he's

432
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Speaker 10: brought across the front, running tiny miles an hour.

433
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Speaker 6: We're taking thirty feet of jump.

434
00:21:29,080 --> 00:21:33,160
Speaker 10: He had never been caught, He hain't never been treated.

435
00:21:33,920 --> 00:21:37,320
Speaker 8: Some bull say he's a love like me.

436
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Speaker 6: Here you go, po tambourine.

437
00:21:41,280 --> 00:21:44,280
Speaker 11: I saved up my money and I bought.

438
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Speaker 10: Me some bees, started making honey way up in the trees.

439
00:21:50,880 --> 00:21:52,680
Speaker 3: I cut down that tree.

440
00:21:52,720 --> 00:21:56,600
Speaker 9: But my honey is all golf old sloop.

441
00:21:56,440 --> 00:21:59,000
Speaker 8: Foot done made himself at home.

442
00:21:59,440 --> 00:21:59,680
Speaker 10: Oh.

443
00:22:00,480 --> 00:22:04,320
Speaker 12: He's big around the middle, and he's broad across the front,

444
00:22:04,640 --> 00:22:08,560
Speaker 12: running ninety miles an hour, taking thirty feet of jump.

445
00:22:08,880 --> 00:22:13,040
Speaker 12: He had never been come he hain't never been treated.

446
00:22:13,680 --> 00:22:18,080
Speaker 8: Some don't say he's like me Bill.

447
00:22:17,920 --> 00:22:49,400
Speaker 11: Taylor on the Harmonica.

448
00:22:51,440 --> 00:22:59,320
Speaker 9: That's right, last word. Winners are coming and it's twenty

449
00:23:00,040 --> 00:23:06,280
Speaker 9: oh rivers rose over, So where can he go? We'll

450
00:23:06,359 --> 00:23:07,280
Speaker 9: chase him up.

451
00:23:07,200 --> 00:23:08,720
Speaker 11: The haller and we'll.

452
00:23:08,520 --> 00:23:11,400
Speaker 9: Put him in well, shoot him in.

453
00:23:11,440 --> 00:23:13,880
Speaker 11: The bottom, just to listen to himy ill.

454
00:23:15,640 --> 00:23:19,439
Speaker 12: He's big around the middle, and he's broad across the front,

455
00:23:19,760 --> 00:23:21,720
Speaker 12: running ninety miles an hour.

456
00:23:21,800 --> 00:23:25,560
Speaker 8: Taking thirty feet of jumping. He had never been caught.

457
00:23:26,040 --> 00:23:27,920
Speaker 8: He hain't never been treated.

458
00:23:28,680 --> 00:23:30,200
Speaker 2: Some folks say.

459
00:23:30,280 --> 00:23:41,000
Speaker 10: He's a lot like me, Bill Tyler of the Harmonica,

460
00:23:41,800 --> 00:23:44,280
Speaker 10: timboury Phil.

461
00:23:46,359 --> 00:23:50,880
Speaker 2: Does like Bill, just a quiet man of talent. Yes, yeah,

462
00:23:52,680 --> 00:23:59,080
Speaker 2: thank you Phil, Oh, thank you Clay. Okay, handful things

463
00:23:59,080 --> 00:24:00,680
Speaker 2: to talk about. How you wanna kick off with the

464
00:24:00,760 --> 00:24:02,560
Speaker 2: with the with the brew Han Wisconsin.

465
00:24:03,119 --> 00:24:09,240
Speaker 3: Oh sorry, it's like regulation season setting for a lot

466
00:24:09,240 --> 00:24:12,880
Speaker 3: of different states, is it. Yeah, yeah, like we we're

467
00:24:12,920 --> 00:24:18,040
Speaker 3: going through season setting processes in Montana and so one

468
00:24:18,280 --> 00:24:22,200
Speaker 3: of the things that and I know we're going to

469
00:24:22,280 --> 00:24:25,000
Speaker 3: talk about Washington this podcast too, right, So yeah, that's

470
00:24:25,040 --> 00:24:30,760
Speaker 3: another example. But so state of Wisconsin. Uh, somebody wrote

471
00:24:30,760 --> 00:24:34,479
Speaker 3: in for the Game Commission to consider a proposal that

472
00:24:34,520 --> 00:24:39,480
Speaker 3: would ban side imaging sonar and like three sixty view

473
00:24:39,520 --> 00:24:40,680
Speaker 3: so sonar.

474
00:24:40,359 --> 00:24:41,359
Speaker 2: Which is in Chester.

475
00:24:42,240 --> 00:24:49,040
Speaker 3: Yeah, which is you know, like crazy awesome technology that's

476
00:24:49,080 --> 00:24:53,000
Speaker 3: becoming more and more available because the the longer it's out,

477
00:24:53,040 --> 00:24:56,920
Speaker 3: the prices come down, so more folks can afford it.

478
00:24:57,000 --> 00:25:04,800
Speaker 3: And it allows anglers to target individual fish, identify species,

479
00:25:05,080 --> 00:25:09,760
Speaker 3: identify fish in conditions that they typically would have to

480
00:25:09,800 --> 00:25:15,720
Speaker 3: you know, just blind cast or sit with a worm

481
00:25:15,760 --> 00:25:17,399
Speaker 3: on the bottom and hope for the best type of thing.

482
00:25:17,520 --> 00:25:21,240
Speaker 2: Inane effective. I fished it. Yeah, you fished it.

483
00:25:22,640 --> 00:25:24,760
Speaker 3: And like, you know, one of my gripes with this

484
00:25:24,880 --> 00:25:30,200
Speaker 3: technology is that, like we did that Ducks Unlimited Perch

485
00:25:30,240 --> 00:25:33,480
Speaker 3: fishing tournament on Canyon Ferry a few years ago, which

486
00:25:33,520 --> 00:25:38,800
Speaker 3: is super fun, but as the day progressed, I had

487
00:25:38,840 --> 00:25:42,240
Speaker 3: like nobody to talk to because you guys were all

488
00:25:42,320 --> 00:25:48,000
Speaker 3: huddled around that screen and it was like it you

489
00:25:48,040 --> 00:25:50,280
Speaker 3: may as I was a lonely man out there on

490
00:25:50,320 --> 00:25:53,560
Speaker 3: the ice without couldn't couldn't join in on the fun.

491
00:25:53,720 --> 00:25:56,560
Speaker 3: Not enough holes and so and iron stuff to go around.

492
00:25:56,600 --> 00:25:59,639
Speaker 3: And it's like this is yeah, it's just kind of

493
00:25:59,640 --> 00:26:03,680
Speaker 3: taking the a big part of the fishing camarade, camaraderie

494
00:26:03,720 --> 00:26:06,560
Speaker 3: out of it. And it's like another excuse to watch TV.

495
00:26:06,920 --> 00:26:07,760
Speaker 3: That's one reason.

496
00:26:08,080 --> 00:26:12,199
Speaker 2: It is no reason it's yeah. And I even with

497
00:26:12,880 --> 00:26:15,720
Speaker 2: so I had a camera for a while for ice fishing. Yeah,

498
00:26:16,200 --> 00:26:18,800
Speaker 2: kept breaking. I had a camera. You lower the wire

499
00:26:18,880 --> 00:26:21,560
Speaker 2: down the hole and you can hook fish. It don't

500
00:26:21,600 --> 00:26:23,960
Speaker 2: hit like I think you don't realize in your ice

501
00:26:23,960 --> 00:26:26,720
Speaker 2: fishing when fisher turned off is they mouth it. They'll

502
00:26:26,800 --> 00:26:29,480
Speaker 2: mouth it in a way that usually got a spring bobber.

503
00:26:29,560 --> 00:26:33,440
Speaker 2: You don't register the hit. But on camera you can

504
00:26:33,480 --> 00:26:35,920
Speaker 2: be like, oh it's in their mouth. You can zip fit.

505
00:26:36,080 --> 00:26:38,840
Speaker 2: You can hook a fish that would not register on

506
00:26:38,920 --> 00:26:41,640
Speaker 2: a spring bobber. Yeah, because you go like, oh shit.

507
00:26:42,520 --> 00:26:48,879
Speaker 3: So this guy's argument is that the effectiveness of this

508
00:26:49,000 --> 00:26:52,640
Speaker 3: sonar is going to increase the catch rate and more

509
00:26:52,680 --> 00:26:58,080
Speaker 3: than likely the take home rate of fish. You know,

510
00:26:58,160 --> 00:27:01,560
Speaker 3: probably like walleye, crappie, bluegill, is what this person is

511
00:27:01,560 --> 00:27:07,880
Speaker 3: probably real concerned about. That impact is going to decrease

512
00:27:09,080 --> 00:27:12,600
Speaker 3: the creole limits your take home, how many fish you

513
00:27:12,640 --> 00:27:18,159
Speaker 3: can take home. Yeah, when that happens, the ripple effect

514
00:27:18,280 --> 00:27:21,080
Speaker 3: is going to be fewer people buying your fishing license

515
00:27:21,119 --> 00:27:24,639
Speaker 3: because they don't find it worth their while because they

516
00:27:24,640 --> 00:27:26,879
Speaker 3: can't take home as many fish. So it's going to

517
00:27:27,840 --> 00:27:32,679
Speaker 3: hurt the whole system because fish are too easy to

518
00:27:32,720 --> 00:27:36,240
Speaker 3: catch right now with this technology, it's so easy, it's

519
00:27:36,240 --> 00:27:39,200
Speaker 3: going to hurt the population. The hurt in the population

520
00:27:39,440 --> 00:27:42,240
Speaker 3: is going to lead to a decrease in fishing licenses sold.

521
00:27:43,960 --> 00:27:45,399
Speaker 6: Do you think that's that's true?

522
00:27:48,560 --> 00:27:52,240
Speaker 2: It's extrapolated out pretty far. Listen to this.

523
00:27:52,680 --> 00:27:55,880
Speaker 6: I think that guys that grew up traditional fishing that

524
00:27:56,000 --> 00:27:58,919
Speaker 6: really value being able to catch a big crappy, you know,

525
00:27:58,960 --> 00:28:00,639
Speaker 6: a two and a half pound crop. It's like that

526
00:28:00,800 --> 00:28:03,720
Speaker 6: is like a gold bar to them. When that guy

527
00:28:03,760 --> 00:28:08,560
Speaker 6: gets the technology, he loves it because he's catching this

528
00:28:08,600 --> 00:28:10,960
Speaker 6: thing that's been so difficult to catch his whole life,

529
00:28:11,520 --> 00:28:13,439
Speaker 6: and he just goes nuts over it.

530
00:28:13,400 --> 00:28:16,880
Speaker 3: And has to that it can still be difficult even

531
00:28:16,960 --> 00:28:19,439
Speaker 3: though you've identified the fish in the spot.

532
00:28:20,000 --> 00:28:22,840
Speaker 6: But what happens to the to the generation down the

533
00:28:22,880 --> 00:28:25,480
Speaker 6: line that grows up with this technology that catching a

534
00:28:25,840 --> 00:28:27,600
Speaker 6: two and a half pound crap is just.

535
00:28:27,480 --> 00:28:30,000
Speaker 2: Like, they'll do it every day. They'll get old and

536
00:28:30,040 --> 00:28:33,120
Speaker 2: they'll get mad about the next technology. Yeah, and they'll

537
00:28:33,160 --> 00:28:35,520
Speaker 2: they'll reminisce back when it was just the simple times

538
00:28:35,640 --> 00:28:36,359
Speaker 2: of having lives.

539
00:28:36,400 --> 00:28:39,480
Speaker 6: So onar Yeah, I mean you have a strong point there,

540
00:28:39,520 --> 00:28:46,240
Speaker 6: but we've never dealt with this level of technology before fish. Yeah,

541
00:28:46,280 --> 00:28:49,840
Speaker 6: I mean, going from to.

542
00:28:50,240 --> 00:28:54,400
Speaker 2: Rifles, monofilament. Come on, what's wrong with braiding some roots?

543
00:28:54,440 --> 00:28:56,440
Speaker 2: What's wrong with braiding some horse hair? Now the fish

544
00:28:56,440 --> 00:28:57,320
Speaker 2: can't even see the line.

545
00:28:57,440 --> 00:29:00,640
Speaker 5: Yeah, but at some point all technology isn't the same though.

546
00:29:00,600 --> 00:29:01,280
Speaker 2: Right understood.

547
00:29:01,360 --> 00:29:03,760
Speaker 6: And I'm gonna give a big I'm gonna give a

548
00:29:03,760 --> 00:29:05,040
Speaker 6: big spiel in a second.

549
00:29:05,400 --> 00:29:06,240
Speaker 2: So uh.

550
00:29:07,840 --> 00:29:13,640
Speaker 3: Yeah, but wait, the reward of pounding a shoreline with

551
00:29:13,760 --> 00:29:21,040
Speaker 3: the spinner, which has probably caught more records than anything regardless, Uh, the.

552
00:29:21,080 --> 00:29:24,080
Speaker 2: Jig has caught the most records cal not the popper.

553
00:29:24,200 --> 00:29:27,760
Speaker 3: Not the popper, but but popper fishing is a great

554
00:29:27,760 --> 00:29:30,560
Speaker 3: example too, Like the effort that you got to put

555
00:29:30,560 --> 00:29:34,960
Speaker 3: in to get that super rewarding strike throwing big streamers

556
00:29:34,960 --> 00:29:38,280
Speaker 3: all that stuff because you're doing your best to do

557
00:29:38,360 --> 00:29:42,720
Speaker 3: the mental gymnastics of covering the water column, uh, doing

558
00:29:42,760 --> 00:29:50,640
Speaker 3: different presentations, and then you get a fish, and that

559
00:29:50,680 --> 00:29:53,040
Speaker 3: a fish is is a huge reward because you've had

560
00:29:53,080 --> 00:29:56,360
Speaker 3: to figure all this stuff out, you know, that accelerated

561
00:29:56,720 --> 00:30:01,320
Speaker 3: learning curve of being like, oh, don't even toucher rod. Yep,

562
00:30:02,240 --> 00:30:05,120
Speaker 3: we're just gonna go until the we can see the

563
00:30:05,160 --> 00:30:08,000
Speaker 3: fish on the screen. We're gonna get everything right, and

564
00:30:08,040 --> 00:30:10,080
Speaker 3: then you can cast to it.

565
00:30:10,200 --> 00:30:15,040
Speaker 6: Yeah, because it's it's fifty six inches off starboard stern yep.

566
00:30:15,480 --> 00:30:18,520
Speaker 3: Yeah, you see where the stick's pointing, like right there,

567
00:30:18,520 --> 00:30:19,120
Speaker 3: ten feet.

568
00:30:19,320 --> 00:30:19,400
Speaker 2: No.

569
00:30:20,120 --> 00:30:22,720
Speaker 7: I think it would be super telling if Wisconsin were

570
00:30:22,760 --> 00:30:25,280
Speaker 7: the state to do this. It'd be like if Texas

571
00:30:25,280 --> 00:30:29,120
Speaker 7: outlawed cellular trail cameras or something like you're, oh, yeah,

572
00:30:29,600 --> 00:30:32,600
Speaker 7: per capita, there's got to be more live scopes in

573
00:30:32,640 --> 00:30:34,400
Speaker 7: Wisconsin or like at least top five.

574
00:30:34,640 --> 00:30:35,920
Speaker 2: Yeah, that's why it's top of mind.

575
00:30:36,960 --> 00:30:39,880
Speaker 5: I just whenever there's a change proposed like this, I

576
00:30:39,920 --> 00:30:43,600
Speaker 5: wonder if there's the it's all based on a hypothetical,

577
00:30:44,360 --> 00:30:47,040
Speaker 5: like if there is a measurable impact from this technology,

578
00:30:47,080 --> 00:30:48,280
Speaker 5: then you get into what.

579
00:30:48,200 --> 00:30:51,520
Speaker 3: The years years demonstrating.

580
00:30:51,040 --> 00:30:53,480
Speaker 5: And I understand that you don't want to let these

581
00:30:53,480 --> 00:30:57,200
Speaker 5: things get out of control, right or have a population

582
00:30:57,280 --> 00:31:01,200
Speaker 5: level impact. But there's a lot of ifs and thens and.

583
00:30:59,840 --> 00:31:03,120
Speaker 3: The and we talk about science based management, right, It's

584
00:31:03,120 --> 00:31:06,000
Speaker 3: like you get to this frustrating thing with biologists who

585
00:31:06,080 --> 00:31:08,800
Speaker 3: are like, well, show me the science.

586
00:31:08,840 --> 00:31:10,240
Speaker 2: Oh there's no science yet, right, And.

587
00:31:10,200 --> 00:31:13,040
Speaker 3: There's no science yet, so you can't be proactive.

588
00:31:13,280 --> 00:31:16,440
Speaker 2: You can't go look, here's a chart. Here's increase in

589
00:31:16,600 --> 00:31:20,720
Speaker 2: usage of live sonar. Here's depletion of resource. Yeah, no,

590
00:31:20,840 --> 00:31:22,520
Speaker 2: it's it's you're you're enforcing.

591
00:31:23,400 --> 00:31:26,240
Speaker 3: Here's the creole surveys. Here's the time on the water surveys.

592
00:31:26,320 --> 00:31:29,360
Speaker 2: Here's the Yeah, that's why anytime the whole follow the

593
00:31:29,400 --> 00:31:32,560
Speaker 2: science thing and trust the science, follow the science, people

594
00:31:32,640 --> 00:31:35,920
Speaker 2: use that opportunistically when it benefits what they're saying. This

595
00:31:36,000 --> 00:31:40,760
Speaker 2: is not. This is about managing, managing, enforcing, trying to

596
00:31:40,800 --> 00:31:45,280
Speaker 2: find some kind of definition of like fair chase, fair play,

597
00:31:45,280 --> 00:31:45,840
Speaker 2: fair share.

598
00:31:46,240 --> 00:31:46,520
Speaker 3: Yep.

599
00:31:46,680 --> 00:31:51,240
Speaker 2: Right, here's the spiel. Though, kind of given my spiel

600
00:31:51,280 --> 00:31:51,600
Speaker 2: on this.

601
00:31:51,720 --> 00:31:55,440
Speaker 3: I think you should throw it in also, like, you know,

602
00:31:56,200 --> 00:31:59,000
Speaker 3: because I think this ties in with what Clay was

603
00:31:59,080 --> 00:32:01,520
Speaker 3: kind of getting at and how you've talked about like

604
00:32:01,600 --> 00:32:04,719
Speaker 3: raising your kids right, like getting them to play out

605
00:32:04,760 --> 00:32:07,160
Speaker 3: in the rain so they're not like, oh it's raining,

606
00:32:07,200 --> 00:32:10,520
Speaker 3: we can't go do anything like I think there's doing

607
00:32:10,560 --> 00:32:14,520
Speaker 3: things the hard way can benefit our system.

608
00:32:14,640 --> 00:32:17,280
Speaker 2: But well, yeah, I never finished my point earlier about

609
00:32:17,320 --> 00:32:20,240
Speaker 2: that camera. When that camera broke. I'm not kidding. When

610
00:32:20,240 --> 00:32:24,240
Speaker 2: that camera broke. My boy, my older boy, he didn't

611
00:32:24,240 --> 00:32:26,040
Speaker 2: want to go ice fishing because the camera's broke. I'm

612
00:32:26,040 --> 00:32:31,280
Speaker 2: not kidding you. Yeah, yeah, because it was why would you, you.

613
00:32:31,200 --> 00:32:33,160
Speaker 6: Know, did you want to go ice fishing? Oh yeah,

614
00:32:33,160 --> 00:32:35,480
Speaker 6: It's like who cares? He's like, wow, we don't have

615
00:32:35,520 --> 00:32:36,080
Speaker 6: the camera though.

616
00:32:36,160 --> 00:32:39,480
Speaker 3: Well, Jay Siemens and Mandy when we were fishing with them,

617
00:32:39,800 --> 00:32:43,160
Speaker 3: I tried to sit next to Mandy without She had

618
00:32:43,160 --> 00:32:48,360
Speaker 3: a screen going in her hole and there was just

619
00:32:48,360 --> 00:32:50,960
Speaker 3: an open hole next to her and I sat there

620
00:32:51,000 --> 00:32:54,920
Speaker 3: and was just jigging off the bottom. Imagine that, no

621
00:32:55,040 --> 00:32:58,480
Speaker 3: flash or no nothing, and she could not stand it.

622
00:32:58,840 --> 00:33:01,360
Speaker 3: She was like, no, no, no, what are you doing.

623
00:33:01,760 --> 00:33:04,800
Speaker 3: I'm like, I'm fishing. She's like, no, you're not. And

624
00:33:04,840 --> 00:33:08,560
Speaker 3: she had to go get at least a flasher.

625
00:33:08,440 --> 00:33:09,360
Speaker 2: Put something in front of you.

626
00:33:09,480 --> 00:33:13,000
Speaker 3: Yeah, and then we're talking with Jay. I was like, okay,

627
00:33:14,520 --> 00:33:19,520
Speaker 3: this side imaging live scope deal. If you forgot it,

628
00:33:20,320 --> 00:33:23,400
Speaker 3: how far away? Like if you were heading to a

629
00:33:23,440 --> 00:33:28,440
Speaker 3: tournament someplace or just going to fish, what would be

630
00:33:28,480 --> 00:33:31,920
Speaker 3: your point of going, Oh my god, I forgot the

631
00:33:31,920 --> 00:33:34,880
Speaker 3: live scope. I got to turn around and go back.

632
00:33:35,000 --> 00:33:39,200
Speaker 3: He said, more to five hours if he was, if

633
00:33:39,240 --> 00:33:41,960
Speaker 3: he was within four or five hours of home, he

634
00:33:42,000 --> 00:33:44,200
Speaker 3: would turn around and go back and get.

635
00:33:44,080 --> 00:33:57,480
Speaker 6: The thing, because yeahs feels good. Success is a drug, dude.

636
00:33:57,960 --> 00:34:02,080
Speaker 6: The other night, I did. I'm kind of nervous about it.

637
00:34:02,160 --> 00:34:04,760
Speaker 2: I did. I did an interview with a I did

638
00:34:04,800 --> 00:34:07,360
Speaker 2: an interview with a journalist who normally covers She covers

639
00:34:07,400 --> 00:34:10,560
Speaker 2: like an Olympics sports scheme.

640
00:34:12,760 --> 00:34:14,880
Speaker 3: Oh, that's appropriate. So far a lot of athletes in

641
00:34:14,920 --> 00:34:15,920
Speaker 3: this room.

642
00:34:15,960 --> 00:34:19,880
Speaker 2: So And the interview was set up around the publication

643
00:34:20,040 --> 00:34:22,759
Speaker 2: of our new cookbooks. I thought we're gonna talk about that.

644
00:34:22,760 --> 00:34:25,319
Speaker 2: But she comes in and we sit down and she

645
00:34:25,360 --> 00:34:30,240
Speaker 2: wants she has like six the six most controversial things

646
00:34:30,239 --> 00:34:32,480
Speaker 2: in hunting, Like I'm not telling you, Like she wanted

647
00:34:32,520 --> 00:34:36,839
Speaker 2: to talk about, uh, regulatory structures around hunting mountain lions.

648
00:34:36,920 --> 00:34:44,280
Speaker 2: What do I think like public lands, divestiture, uh, hounds

649
00:34:44,320 --> 00:34:48,560
Speaker 2: for bears okay, mm hmm. I was like, yeah, surprising.

650
00:34:48,600 --> 00:34:49,719
Speaker 2: I don't know what she's gonna do it, Like, I

651
00:34:49,760 --> 00:34:51,560
Speaker 2: was just like, she caught me in the chatty mood.

652
00:34:51,800 --> 00:34:54,440
Speaker 2: Did she ask you about the cookbook? No, not a

653
00:34:54,480 --> 00:34:57,200
Speaker 2: single time. Caught me in the chatty mood too. So

654
00:34:57,200 --> 00:34:59,000
Speaker 2: now I'm nervous about what all I said. But I

655
00:34:59,239 --> 00:35:01,399
Speaker 2: want to explain thing to her. And I've talked about

656
00:35:01,440 --> 00:35:06,760
Speaker 2: before here. But it's like I was avoiding conversations about

657
00:35:06,880 --> 00:35:11,080
Speaker 2: specific state by state issues, okay, And I was saying, like,

658
00:35:11,160 --> 00:35:15,839
Speaker 2: here's the here's my general perspective. My general perspective is

659
00:35:15,880 --> 00:35:23,279
Speaker 2: that I tend to look favorably upon traditional use practices

660
00:35:25,040 --> 00:35:28,560
Speaker 2: where it's been demonstrated that that traditional use practice is

661
00:35:28,640 --> 00:35:34,520
Speaker 2: compatible with sustainable wildlife management. Okay, meaning of a state

662
00:35:34,560 --> 00:35:40,760
Speaker 2: has always had hound hunting for bears, and that practice

663
00:35:40,760 --> 00:35:43,160
Speaker 2: hound hunting for bears has proven to be compatible with

664
00:35:43,960 --> 00:35:47,280
Speaker 2: responsible management of black bears as a renewable resource.

665
00:35:47,080 --> 00:35:49,920
Speaker 3: Meaning a stable or growing population.

666
00:35:50,000 --> 00:35:53,359
Speaker 2: Yeah, so you've always hound hundred bears, you have good

667
00:35:53,520 --> 00:35:56,400
Speaker 2: bear numbers on the on the landscape, they're not in decline.

668
00:35:57,760 --> 00:36:00,200
Speaker 2: I would say that that that traditional use practic this

669
00:36:00,640 --> 00:36:03,480
Speaker 2: is warranted. Now the States never had hound hunting for

670
00:36:03,520 --> 00:36:05,479
Speaker 2: bears and they go to institute hound hunting for bears,

671
00:36:05,480 --> 00:36:07,239
Speaker 2: And I wouldn't look at it like a defending a

672
00:36:07,239 --> 00:36:09,840
Speaker 2: traditional use practice where let's say for the last one

673
00:36:09,880 --> 00:36:12,759
Speaker 2: hundred years you haven't been able to You're introducing a

674
00:36:12,800 --> 00:36:16,960
Speaker 2: new thing into the mix which requires special consideration. And

675
00:36:17,400 --> 00:36:18,799
Speaker 2: I was trying to explain to her as well, like

676
00:36:19,320 --> 00:36:24,759
Speaker 2: where this becomes relevant is we always have been and

677
00:36:24,880 --> 00:36:30,399
Speaker 2: always will be faced with new practices, and we need

678
00:36:30,400 --> 00:36:35,680
Speaker 2: to assess what we're gonna do about new practices. Enter

679
00:36:35,880 --> 00:36:40,200
Speaker 2: like the drone. Okay, years ago, like when drones became

680
00:36:40,360 --> 00:36:44,520
Speaker 2: just a whisper, a whisper, I remember it was like

681
00:36:44,560 --> 00:36:50,359
Speaker 2: in one year, thirteen Western states and one year came

682
00:36:50,360 --> 00:36:54,160
Speaker 2: out and just washed their hands of it. They immediately like,

683
00:36:54,400 --> 00:36:57,479
Speaker 2: I don't know where this is going. I'm not gonna

684
00:36:57,560 --> 00:37:01,600
Speaker 2: let it go anywhere. Yes, drones and hunting are out.

685
00:37:01,480 --> 00:37:06,120
Speaker 3: Well, I think bha RF, a bunch of conservation groups

686
00:37:06,160 --> 00:37:11,960
Speaker 3: immediately came out with policy statements like restricting technology yep,

687
00:37:12,000 --> 00:37:17,000
Speaker 3: but they were addressing drones specifically.

688
00:37:16,360 --> 00:37:20,080
Speaker 2: Exactly, and it was quick. Yeah, it was quick. Would drones.

689
00:37:20,120 --> 00:37:23,040
Speaker 6: Could you make a comparison between using drones and livescoping

690
00:37:23,080 --> 00:37:23,879
Speaker 6: for fishing.

691
00:37:23,600 --> 00:37:25,040
Speaker 2: Well, I could tell you this, Like there was a

692
00:37:25,120 --> 00:37:27,680
Speaker 2: rumor like here, I could tell you one place that

693
00:37:27,760 --> 00:37:29,759
Speaker 2: drones would be like incredibly effective. And there was a

694
00:37:29,840 --> 00:37:32,600
Speaker 2: rumor of being used this way hunting moose. Putting up

695
00:37:32,600 --> 00:37:33,720
Speaker 2: a drone in a willow flat.

696
00:37:34,160 --> 00:37:39,680
Speaker 6: Yeah, giant black blob that's six feet tall and a

697
00:37:39,680 --> 00:37:43,160
Speaker 6: bunch of willows that are eight feet tall, and it's like,

698
00:37:43,200 --> 00:37:45,400
Speaker 6: oh there, he is right, And there was a rumor

699
00:37:45,440 --> 00:37:48,160
Speaker 6: of that being a coming a thing immediately.

700
00:37:48,200 --> 00:37:50,719
Speaker 2: Okay. So here you took an emerging technology that you

701
00:37:50,880 --> 00:37:53,960
Speaker 2: knew was going to be impactful on the resource, and

702
00:37:54,040 --> 00:37:57,360
Speaker 2: before it even had a user group, there was no

703
00:37:57,400 --> 00:38:01,160
Speaker 2: one to even bitch. There was no one to bitch

704
00:38:01,200 --> 00:38:03,359
Speaker 2: because no one was you know what I mean, if

705
00:38:03,400 --> 00:38:05,879
Speaker 2: you went if you had just held off and tried

706
00:38:05,920 --> 00:38:08,520
Speaker 2: it now, you'd already have resistance. Yeah.

707
00:38:08,719 --> 00:38:11,440
Speaker 3: Yeah, So like and look at what is happening right now,

708
00:38:11,440 --> 00:38:14,799
Speaker 3: because I mean that's a great like the in other

709
00:38:14,880 --> 00:38:18,360
Speaker 3: aspects game retrieval, some of like the big evil drone

710
00:38:18,400 --> 00:38:19,480
Speaker 3: technology things.

711
00:38:19,280 --> 00:38:24,240
Speaker 2: Have are true, ye day not true.

712
00:38:24,640 --> 00:38:28,560
Speaker 3: Oh, they're using, so like using thermal imaging to detect

713
00:38:28,640 --> 00:38:30,200
Speaker 3: game for hunting purposes.

714
00:38:30,280 --> 00:38:33,160
Speaker 2: The other day I was in the room. I was

715
00:38:33,280 --> 00:38:37,120
Speaker 2: in the room in Mississippi and there was a conversation.

716
00:38:37,320 --> 00:38:39,640
Speaker 2: There was a guy that got the thermal drone thing

717
00:38:39,719 --> 00:38:43,040
Speaker 2: for recovery, and his buddies were saying, Now, what he

718
00:38:43,120 --> 00:38:48,040
Speaker 2: does is he flies to find where bucks that he

719
00:38:48,120 --> 00:38:52,600
Speaker 2: knows about are bedded so he can set up on

720
00:38:52,640 --> 00:38:55,000
Speaker 2: the exit trail that he knows that he wants to

721
00:38:55,040 --> 00:38:57,279
Speaker 2: set up on because he knows that bucks bed in

722
00:38:57,320 --> 00:38:58,960
Speaker 2: these certain areas and he knows where they been and

723
00:38:58,960 --> 00:39:01,440
Speaker 2: where they're gonna leave. So he finds the buck and

724
00:39:01,480 --> 00:39:03,719
Speaker 2: then makes his stand selection based on where he knows

725
00:39:03,719 --> 00:39:06,560
Speaker 2: the buck is bedded. Right, which does how is that

726
00:39:06,680 --> 00:39:09,640
Speaker 2: not illegal? Because every state didn't ban drones and hunting?

727
00:39:10,080 --> 00:39:12,399
Speaker 2: M right, Yeah, And.

728
00:39:12,360 --> 00:39:16,239
Speaker 3: It's drones and scouting. Is it drones in hunting? Right? Well,

729
00:39:16,280 --> 00:39:18,040
Speaker 3: it's like all the things.

730
00:39:18,080 --> 00:39:20,760
Speaker 5: It also raised the question like if you're using the

731
00:39:20,760 --> 00:39:25,000
Speaker 5: thermal for the thermal drone for recovery, if you don't,

732
00:39:25,120 --> 00:39:30,000
Speaker 5: if you find that you didn't hit that deer and

733
00:39:30,040 --> 00:39:32,160
Speaker 5: then all of a sudden you see another deer, do

734
00:39:32,200 --> 00:39:33,920
Speaker 5: you just have to cover your eyes and walk out

735
00:39:33,960 --> 00:39:35,960
Speaker 5: of the woods. That's why certain states and there's a

736
00:39:36,000 --> 00:39:39,160
Speaker 5: real fuzzy gray area there, but some states and it's

737
00:39:39,160 --> 00:39:42,840
Speaker 5: not the softy states. That's the thing with drones, is

738
00:39:42,840 --> 00:39:46,600
Speaker 5: it was like not not like that, not animal rights states.

739
00:39:48,600 --> 00:39:51,399
Speaker 5: You know, it's like Montana, Alaska, like not animal rights

740
00:39:51,440 --> 00:39:52,880
Speaker 5: states that got out ahead of drones.

741
00:39:52,920 --> 00:39:55,200
Speaker 2: And it's not animal right states. They're getting out ahead

742
00:39:55,200 --> 00:40:02,440
Speaker 2: of thermal Arizona, Utah, Arizona recently trail cams on public land.

743
00:40:03,400 --> 00:40:04,760
Speaker 2: That's not coming from antis.

744
00:40:05,080 --> 00:40:07,799
Speaker 3: Nope, nope, not at all.

745
00:40:08,040 --> 00:40:11,120
Speaker 7: This is forty five states have laws restricting the use

746
00:40:11,120 --> 00:40:14,799
Speaker 7: of drones for hunting. The only states that don't have

747
00:40:14,880 --> 00:40:20,200
Speaker 7: specific laws banning drone recovery or Kentucky, Maryland, Delaware, Oklahoma,

748
00:40:20,280 --> 00:40:21,239
Speaker 7: and South Carolina.

749
00:40:22,840 --> 00:40:25,680
Speaker 3: So I think it does paint the picture. Though, to

750
00:40:25,920 --> 00:40:29,440
Speaker 3: go back to the side imaging thing and the fear

751
00:40:29,680 --> 00:40:33,560
Speaker 3: is the technology is going to affect a population or

752
00:40:33,760 --> 00:40:38,839
Speaker 3: spike a harvest rate in such a way that it's

753
00:40:38,920 --> 00:40:42,640
Speaker 3: going to impact the length of a season or means

754
00:40:42,640 --> 00:40:46,080
Speaker 3: of take or one of these things that we hold

755
00:40:46,120 --> 00:40:49,879
Speaker 3: in higher regard than being able to use the technology.

756
00:40:50,000 --> 00:40:50,800
Speaker 3: Does that make sense.

757
00:40:50,920 --> 00:40:58,560
Speaker 2: Yeah, And it's like the conversation isn't just about live scope.

758
00:41:00,320 --> 00:41:06,480
Speaker 2: It's like, do we we're in like an unprecedented a

759
00:41:06,640 --> 00:41:12,359
Speaker 2: period of like unprecedented technological advancement? Right? You go back

760
00:41:12,360 --> 00:41:14,600
Speaker 2: to the forties and it'd be like the you know,

761
00:41:14,680 --> 00:41:18,840
Speaker 2: atomic and nuclear like just changed everything. The Internet age

762
00:41:19,040 --> 00:41:24,359
Speaker 2: changed everything, like unprecedented technological advancement. Who knows what's coming.

763
00:41:24,360 --> 00:41:26,640
Speaker 2: There's guys that are messing with it. This is not

764
00:41:26,760 --> 00:41:29,359
Speaker 2: related to fishies. There's people that are messing with this

765
00:41:29,800 --> 00:41:31,960
Speaker 2: that you'd be able to take a scoop of water

766
00:41:32,640 --> 00:41:38,920
Speaker 2: out of a river and measure marine isotopes in the

767
00:41:39,000 --> 00:41:42,799
Speaker 2: water and tabulate that to how many salmon ran up

768
00:41:42,840 --> 00:41:43,239
Speaker 2: that river?

769
00:41:44,160 --> 00:41:44,640
Speaker 3: Amazing?

770
00:41:44,719 --> 00:41:48,600
Speaker 2: Okay, so it's like there's crazy stuff is on the horizon. Yeah,

771
00:41:48,640 --> 00:41:52,400
Speaker 2: So never mind live scope, But how are we going

772
00:41:52,480 --> 00:41:56,680
Speaker 2: to respond to unforeseen technologies in the future that are

773
00:41:56,719 --> 00:42:01,839
Speaker 2: going to completely rewrite hunting and fish and how are

774
00:42:01,840 --> 00:42:05,120
Speaker 2: we going to preserve traditional use? You could take two ways.

775
00:42:05,280 --> 00:42:06,200
Speaker 2: I feel like you either be.

776
00:42:06,160 --> 00:42:09,600
Speaker 6: Like I'm gonna I'm gonna preserve traditional use, or you're

777
00:42:09,600 --> 00:42:11,960
Speaker 6: gonna be like I'm gonna preserve technological advancement.

778
00:42:13,840 --> 00:42:15,440
Speaker 2: You can't like you have to be in one of

779
00:42:15,480 --> 00:42:19,120
Speaker 2: those camps. There's not gonna be room to not pick

780
00:42:19,160 --> 00:42:20,000
Speaker 2: one of those camps.

781
00:42:20,400 --> 00:42:23,759
Speaker 3: And the I think you had that example of a

782
00:42:23,880 --> 00:42:27,720
Speaker 3: laser range finder the other day, and it's pretty perfect.

783
00:42:27,760 --> 00:42:29,520
Speaker 3: It'd be harder, it'd be hard to come up with

784
00:42:29,560 --> 00:42:33,719
Speaker 3: something as a better example because it was like this

785
00:42:33,760 --> 00:42:37,400
Speaker 3: thing the military had. So I would say technological advancement

786
00:42:37,520 --> 00:42:42,600
Speaker 3: and availability right have to be tied together. So the

787
00:42:42,680 --> 00:42:45,320
Speaker 3: longer the technology is on the market, the more available

788
00:42:45,360 --> 00:42:50,880
Speaker 3: it becomes because it gets more prolific and more available

789
00:42:50,880 --> 00:42:52,680
Speaker 3: because of a lower and lower price points.

790
00:42:53,800 --> 00:42:55,440
Speaker 2: Yeah, it could have been I don't know how many

791
00:42:55,520 --> 00:42:58,200
Speaker 2: years ago it would have been like and I'm going

792
00:42:58,239 --> 00:43:03,800
Speaker 2: to clarify, I use cellular cameras, I use a laser rangefinder, Okay,

793
00:43:03,920 --> 00:43:06,160
Speaker 2: I use I have. I just shot two turkeys of

794
00:43:06,200 --> 00:43:10,319
Speaker 2: spring with the red dot scope. Okay, I use technology.

795
00:43:10,800 --> 00:43:12,640
Speaker 2: So I'm not talking about I'm not coming from a

796
00:43:12,640 --> 00:43:15,760
Speaker 2: purist perspective. There's probably things that if it wasn't illegal,

797
00:43:15,800 --> 00:43:19,760
Speaker 2: maybe I would use it. I don't know, but picture

798
00:43:19,840 --> 00:43:22,399
Speaker 2: that whatever it was twenty years ago with laser range finders,

799
00:43:22,400 --> 00:43:24,960
Speaker 2: I don't even remember. Picture that someone had said the

800
00:43:25,000 --> 00:43:29,040
Speaker 2: minute the technology emerged and was finding military application or

801
00:43:29,080 --> 00:43:31,759
Speaker 2: whoever the hell started it out picture the game agencies

802
00:43:31,800 --> 00:43:38,399
Speaker 2: and said this is going to really revolutionize shooting. It's

803
00:43:38,400 --> 00:43:41,719
Speaker 2: going to change take. Uh, let's get away with it.

804
00:43:41,719 --> 00:43:44,759
Speaker 2: And you would just imagine this alternate reality where there

805
00:43:44,840 --> 00:43:46,880
Speaker 2: had been no one to resist it. Because if you

806
00:43:46,920 --> 00:43:49,000
Speaker 2: went in now and said, oh, you know, we're gonna back,

807
00:43:49,040 --> 00:43:50,479
Speaker 2: We're going to back, We're going to do a time

808
00:43:50,560 --> 00:43:54,960
Speaker 2: machine and back it up and no laser range finders. Dude,

809
00:43:55,800 --> 00:43:58,239
Speaker 2: right like our cade civil there be a civil war,

810
00:43:58,440 --> 00:43:59,680
Speaker 2: is it not? Is it not?

811
00:44:00,120 --> 00:44:02,799
Speaker 6: Like if you looked at the at the arc of

812
00:44:03,280 --> 00:44:08,320
Speaker 6: technology and hunting even in this country, I mean, maybe

813
00:44:08,480 --> 00:44:11,879
Speaker 6: we're this is like much ado about nothing, because there's

814
00:44:11,960 --> 00:44:16,960
Speaker 6: always increase of technology, always, and there's always a reduction,

815
00:44:18,080 --> 00:44:21,960
Speaker 6: a self imposed reduction on the amount of take. I mean,

816
00:44:22,000 --> 00:44:24,719
Speaker 6: because there was a time when you know, they were

817
00:44:24,800 --> 00:44:27,239
Speaker 6: using addleaddles, and I mean they could kill all they

818
00:44:27,239 --> 00:44:30,640
Speaker 6: wanted with an addle addle. Then we had bows and arrows,

819
00:44:30,680 --> 00:44:34,200
Speaker 6: and then we had muskets, and then we had repeating rifles,

820
00:44:34,760 --> 00:44:37,040
Speaker 6: and it got to the point where you know, they

821
00:44:37,080 --> 00:44:40,719
Speaker 6: were they killed them all. You know, the extirpation, and

822
00:44:40,760 --> 00:44:43,920
Speaker 6: then now the technology is so efficient that is it

823
00:44:44,000 --> 00:44:48,160
Speaker 6: not just going to a place where where season dates

824
00:44:48,200 --> 00:44:50,759
Speaker 6: are shorter? Sure, I mean, it's just it's just like, Okay,

825
00:44:50,760 --> 00:44:52,080
Speaker 6: if you want to play this game, we're going to

826
00:44:52,160 --> 00:44:54,080
Speaker 6: have to do it. Well, I mean, that's what you're saying.

827
00:44:54,080 --> 00:44:56,880
Speaker 6: But is that not just like what happens?

828
00:44:57,120 --> 00:44:59,600
Speaker 2: The answer to what happened when I was saying of

829
00:44:59,640 --> 00:45:01,239
Speaker 2: this journal sounds kind of like the second part of

830
00:45:01,239 --> 00:45:04,839
Speaker 2: what I explained is, let's just say you have a unit.

831
00:45:05,120 --> 00:45:08,840
Speaker 2: Let's say there's there's an area of space, an area

832
00:45:08,840 --> 00:45:14,239
Speaker 2: a landscape area, and it has and you determine that

833
00:45:14,440 --> 00:45:18,920
Speaker 2: there's one hundred deer that live in this area of space,

834
00:45:19,360 --> 00:45:24,240
Speaker 2: and you determine that there's a harvestable surplus of ten annually. Okay,

835
00:45:24,680 --> 00:45:27,480
Speaker 2: and you know that it's about a ten percent success rate.

836
00:45:27,960 --> 00:45:30,359
Speaker 2: Hunters of hunt that landscape have a ten percent success rate.

837
00:45:31,040 --> 00:45:37,319
Speaker 2: That creates opportunity. Okay, that creates opportunity for one hundred people.

838
00:45:37,400 --> 00:45:39,560
Speaker 2: Might do my math right, YEA hunter that creates opportunity

839
00:45:39,560 --> 00:45:42,960
Speaker 2: for one hundred people to pursue the resource, there's one

840
00:45:42,960 --> 00:45:45,160
Speaker 2: in ten chance they'll be successful. One hundred people take

841
00:45:45,160 --> 00:45:48,040
Speaker 2: a crack at it. Now you introduce a bunch of

842
00:45:48,880 --> 00:45:52,360
Speaker 2: tools where all of a sudden, now there's a fifty

843
00:45:52,400 --> 00:46:00,120
Speaker 2: percent success rate. Okay, what does that do to the opportunity.

844
00:46:00,440 --> 00:46:03,919
Speaker 2: Opportunity plummets. Yeah, you can only now I got twenty guys,

845
00:46:03,960 --> 00:46:05,960
Speaker 2: We're gonna have twenty guys hunt because half of them

846
00:46:05,960 --> 00:46:09,640
Speaker 2: are gonna bag out. Yeah, and that and like really

847
00:46:09,760 --> 00:46:14,319
Speaker 2: abbreviated form like that is one of the things you're

848
00:46:14,360 --> 00:46:18,160
Speaker 2: battling against. Like there's something more nostalgic too that you're

849
00:46:18,160 --> 00:46:23,400
Speaker 2: fighting against. Is you're fighting against like there is among

850
00:46:23,400 --> 00:46:28,080
Speaker 2: the sporting community. There's a reverence for woodsmanship, right and

851
00:46:28,600 --> 00:46:33,920
Speaker 2: learned like learned skill that time spent pays off that

852
00:46:34,040 --> 00:46:35,959
Speaker 2: learning about the resource, you know.

853
00:46:36,239 --> 00:46:39,960
Speaker 3: Learning about I mean, this is a weird thing to

854
00:46:39,960 --> 00:46:42,520
Speaker 3: say used to be because there's still nothing that can

855
00:46:42,640 --> 00:46:50,319
Speaker 3: replace like ground truthing something meaning walking it. But the

856
00:46:50,400 --> 00:46:56,600
Speaker 3: people who are really good at e scouting, looking at

857
00:46:56,640 --> 00:47:02,279
Speaker 3: satellite imagery, knowing the variety of maps and applications that

858
00:47:02,280 --> 00:47:06,080
Speaker 3: are available online Google Earth, cross referencing all of it

859
00:47:06,160 --> 00:47:10,839
Speaker 3: to get a better mental image and plan, and then

860
00:47:11,000 --> 00:47:16,840
Speaker 3: using software like on x, they can do so much

861
00:47:16,920 --> 00:47:21,560
Speaker 3: more that used to be only available to people who

862
00:47:21,560 --> 00:47:25,120
Speaker 3: have been like I have spent a decade in this drainage,

863
00:47:25,640 --> 00:47:29,120
Speaker 3: and I know the spot that you have to hike

864
00:47:29,200 --> 00:47:32,359
Speaker 3: to in order to actually be able to see this stuff, right,

865
00:47:32,640 --> 00:47:35,600
Speaker 3: like all that barren stuff. Actually, when you get up there,

866
00:47:35,920 --> 00:47:38,360
Speaker 3: the tree line's so high that you can't actually see.

867
00:47:38,400 --> 00:47:40,520
Speaker 3: So you have to be over here in this screen patch.

868
00:47:41,160 --> 00:47:44,120
Speaker 3: And I know that because I actually walked up there

869
00:47:44,120 --> 00:47:48,080
Speaker 3: and did it. Yep, right, it was like that stuff's

870
00:47:49,400 --> 00:47:52,480
Speaker 3: to a large degree has gone away if you are

871
00:47:52,520 --> 00:47:55,399
Speaker 3: effective at using all the tools that you're.

872
00:47:56,440 --> 00:47:59,000
Speaker 2: To a large extent, Yes, but you still like you

873
00:47:59,120 --> 00:48:02,840
Speaker 2: still need to ground check. You know, there's But you're right.

874
00:48:03,040 --> 00:48:05,480
Speaker 6: So at what point do we fought the technology? I mean,

875
00:48:05,480 --> 00:48:07,240
Speaker 6: that's the question that you're trying to answer.

876
00:48:07,920 --> 00:48:09,120
Speaker 2: Man, I'll tell you I don't.

877
00:48:09,160 --> 00:48:11,839
Speaker 5: When it becomes self aware, that comes after us.

878
00:48:12,280 --> 00:48:18,280
Speaker 2: Yeah, it's like early, Yeah, early is the simple answer.

879
00:48:18,320 --> 00:48:23,640
Speaker 2: You got to make managers in the public. You gotta

880
00:48:26,200 --> 00:48:27,840
Speaker 2: why was it so clear with drones? I don't know

881
00:48:27,840 --> 00:48:29,080
Speaker 2: why were drones so clear?

882
00:48:29,120 --> 00:48:33,879
Speaker 5: And it's funny because like something like a laser rangefinder

883
00:48:34,400 --> 00:48:39,120
Speaker 5: or GPS, like a laser range finder makes people more

884
00:48:39,800 --> 00:48:42,680
Speaker 5: effective and maybe encourages I don't know if it encourages

885
00:48:42,760 --> 00:48:45,760
Speaker 5: the right word, but has led people to shoot longer

886
00:48:45,760 --> 00:48:49,520
Speaker 5: and longer distances and become have greater efficacy. But it's

887
00:48:49,560 --> 00:48:54,040
Speaker 5: also made people more effective within traditional ranges, right, And

888
00:48:54,120 --> 00:48:56,800
Speaker 5: so it has like an obvious benefit to the resource

889
00:48:57,440 --> 00:49:01,000
Speaker 5: in that sense, and that there's less perhaps what less

890
00:49:01,160 --> 00:49:05,640
Speaker 5: wounding loss and GPS like it, and it enables people

891
00:49:05,640 --> 00:49:08,440
Speaker 5: to go further and further into the back country and

892
00:49:08,560 --> 00:49:11,440
Speaker 5: have the impact on the resource over a wider area.

893
00:49:11,560 --> 00:49:14,360
Speaker 5: But it also has like an obvious safety use. And

894
00:49:14,400 --> 00:49:17,719
Speaker 5: I don't know what the redeeming quality of the drone is,

895
00:49:18,120 --> 00:49:20,400
Speaker 5: you know, like there's those other ones sort of have

896
00:49:23,520 --> 00:49:25,680
Speaker 5: you can make an argument for them in terms of

897
00:49:25,719 --> 00:49:29,600
Speaker 5: like the the benefit to the hunter outside of simply

898
00:49:30,560 --> 00:49:31,400
Speaker 5: killing more stuff.

899
00:49:31,480 --> 00:49:33,840
Speaker 2: Yeah, people like with laser range finders, people like the

900
00:49:33,880 --> 00:49:36,799
Speaker 2: folk people like the focus on people making shots they

901
00:49:36,800 --> 00:49:42,080
Speaker 2: shouldn't take, right, But you also can prevent you from

902
00:49:42,080 --> 00:49:46,040
Speaker 2: making shots you shouldn't take because it puts a number

903
00:49:46,080 --> 00:49:47,759
Speaker 2: to it, Yeah, to the gut check.

904
00:49:47,920 --> 00:49:51,880
Speaker 5: Yeah, it's not like, oh, it's probably three hundred yards yep,

905
00:49:51,960 --> 00:49:52,920
Speaker 5: you know, and then you're.

906
00:49:52,840 --> 00:49:55,319
Speaker 6: You know, with a drone, you could you could make

907
00:49:55,320 --> 00:49:58,080
Speaker 6: an argument that would help you with selection, you know,

908
00:49:58,200 --> 00:50:01,279
Speaker 6: like like if you were hyper managing a place, like

909
00:50:01,320 --> 00:50:04,640
Speaker 6: we're only taking this type of animal. I mean, I'm

910
00:50:04,640 --> 00:50:09,120
Speaker 6: not like you said, those drones help me to pick

911
00:50:09,280 --> 00:50:12,200
Speaker 6: the animal for conservation that needs to be taken out.

912
00:50:12,280 --> 00:50:15,560
Speaker 3: So what would hunting be though? Okay, like we ran

913
00:50:16,320 --> 00:50:19,960
Speaker 3: things to the extreme because that's where we what we

914
00:50:20,000 --> 00:50:23,200
Speaker 3: do with these conversations, right, So we we we're in

915
00:50:23,280 --> 00:50:29,480
Speaker 3: agreement that increased technology can lead to increased harvest, which

916
00:50:29,560 --> 00:50:35,120
Speaker 3: leads to shortened seasons. So what happens if two hunting

917
00:50:35,440 --> 00:50:40,400
Speaker 3: in general? If yeah, you can use everything at your disposal,

918
00:50:40,920 --> 00:50:45,920
Speaker 3: you name it, technology wise, weapon wise, whatever. Uh, but

919
00:50:46,080 --> 00:50:47,840
Speaker 3: the season for that is one.

920
00:50:47,760 --> 00:50:50,600
Speaker 2: Day, right, Yeah?

921
00:50:51,160 --> 00:50:53,880
Speaker 6: I mean it changes the whole game, right, It changes

922
00:50:53,960 --> 00:50:55,760
Speaker 6: the lifestyle.

923
00:50:55,640 --> 00:50:57,799
Speaker 3: Changes I think, Yeah, I.

924
00:50:57,680 --> 00:51:02,160
Speaker 6: Mean it really does, because there's no Yeah, it changes everything.

925
00:51:02,160 --> 00:51:04,359
Speaker 6: But would they be and I mean this goes back

926
00:51:04,400 --> 00:51:08,000
Speaker 6: to Steve's point, like, is that not what Daniel Boone

927
00:51:08,120 --> 00:51:11,040
Speaker 6: and these long hunters would say about us? Would they

928
00:51:11,120 --> 00:51:14,719
Speaker 6: be like you guys, oh of course, and and but

929
00:51:14,800 --> 00:51:18,760
Speaker 6: then we're sitting here and we're like, man, we're we're really,

930
00:51:19,239 --> 00:51:22,040
Speaker 6: we're woodsman. We we've experienced the wild. We're doing it

931
00:51:22,080 --> 00:51:22,279
Speaker 6: the right.

932
00:51:23,440 --> 00:51:27,839
Speaker 2: It's like it's hate, you know, I hate when people

933
00:51:27,840 --> 00:51:31,640
Speaker 2: say it it's all relative. Yeah, and it's there's a change.

934
00:51:31,760 --> 00:51:34,440
Speaker 2: It's just like do you do spikes? Because if we're

935
00:51:34,440 --> 00:51:36,800
Speaker 2: gonna go back, historically we would say, Okay, the vehicle,

936
00:51:37,120 --> 00:51:42,080
Speaker 2: I mean the vehicles huge impact on hunting. Yeah, as

937
00:51:42,200 --> 00:51:45,680
Speaker 2: Randall pointed out, and way long ago podcasts, the advent

938
00:51:45,800 --> 00:51:50,160
Speaker 2: of the freezer that used to not used to not

939
00:51:50,239 --> 00:51:54,800
Speaker 2: have a freezer. Freezer's changed how people hunting fish.

940
00:51:55,880 --> 00:51:58,960
Speaker 5: The other the other one that I just thinking back

941
00:51:59,000 --> 00:52:01,760
Speaker 5: on some of the research that I did. I remember

942
00:52:01,800 --> 00:52:03,960
Speaker 5: looking at a field and stream from like the seventies

943
00:52:04,360 --> 00:52:08,040
Speaker 5: and there was an article sort of touting this new

944
00:52:09,200 --> 00:52:14,080
Speaker 5: product which is a poison arrow Mississippi. Yeah and so and.

945
00:52:14,160 --> 00:52:16,040
Speaker 3: So it was like pods yeah, and.

946
00:52:16,000 --> 00:52:19,200
Speaker 5: So it was just like uh and and this article

947
00:52:19,239 --> 00:52:21,960
Speaker 5: talked about how some fish and game agencies were getting

948
00:52:22,000 --> 00:52:25,400
Speaker 5: ahead of it and banning poison arrow. But the advocates

949
00:52:25,400 --> 00:52:27,319
Speaker 5: are saying, well this this means if you just hit

950
00:52:27,360 --> 00:52:29,920
Speaker 5: an animal, it's gonna die, and you won't wound a

951
00:52:29,960 --> 00:52:32,520
Speaker 5: deer and have it run off, So why wouldn't you poison?

952
00:52:32,560 --> 00:52:34,520
Speaker 2: I was with these guys in Mississippi and they use

953
00:52:34,560 --> 00:52:36,399
Speaker 2: them with their kids. They say, if that kid gets

954
00:52:36,400 --> 00:52:38,600
Speaker 2: a piece of that deer anywhere, that deer is dead

955
00:52:38,680 --> 00:52:41,920
Speaker 2: or a door naill, ye I wonder anywhere.

956
00:52:41,960 --> 00:52:45,080
Speaker 5: But it's like something that's so foreign to most people today.

957
00:52:45,280 --> 00:52:47,719
Speaker 5: But in that article, it was sort of like, what

958
00:52:47,760 --> 00:52:49,200
Speaker 5: do we do with this technology?

959
00:52:49,640 --> 00:52:49,880
Speaker 1: You know?

960
00:52:49,960 --> 00:52:51,720
Speaker 5: And it's it is context.

961
00:52:51,360 --> 00:52:53,239
Speaker 2: And there's a traditional use practice because they used to

962
00:52:53,320 --> 00:52:57,000
Speaker 2: use Strict nine. Even fur hunters used to use Strict nine.

963
00:52:57,680 --> 00:53:01,640
Speaker 2: So what does it It was a technology being able

964
00:53:01,640 --> 00:53:06,280
Speaker 2: to develop and deliver poison wasn't emerging technology. It became

965
00:53:06,320 --> 00:53:08,960
Speaker 2: a traditional use practice. And now everyone in the room

966
00:53:09,000 --> 00:53:12,400
Speaker 2: would agree you shouldn't be able to poison for bearing

967
00:53:12,440 --> 00:53:17,560
Speaker 2: animals for the fur market. Everyone agrees. Well, Texas and

968
00:53:17,600 --> 00:53:24,040
Speaker 2: Oklahoma have both now certified a hog poison, A wild

969
00:53:24,040 --> 00:53:25,839
Speaker 2: hog poison, yeah, made by.

970
00:53:25,800 --> 00:53:28,200
Speaker 3: Caput Caput Industries.

971
00:53:30,000 --> 00:53:34,759
Speaker 6: It's Tennessee bear houndsman one time, and they take a

972
00:53:34,800 --> 00:53:37,239
Speaker 6: lot of criticism for running bears with hounds and all this,

973
00:53:37,440 --> 00:53:42,840
Speaker 6: and he said, he said, he said, yeah, I used

974
00:53:42,840 --> 00:53:46,319
Speaker 6: hounds to hunt bears here. And he was talking about

975
00:53:46,360 --> 00:53:49,600
Speaker 6: criticism from inside the hunting community. But he's like, you'll

976
00:53:49,600 --> 00:53:52,840
Speaker 6: get in your truck and drive twenty five hundred miles

977
00:53:52,880 --> 00:53:55,680
Speaker 6: in a pickup truck to go hunt an elk with

978
00:53:55,719 --> 00:53:58,600
Speaker 6: a bow or you know, with a rifle.

979
00:53:58,680 --> 00:54:02,120
Speaker 2: And he's like, really good point. It was like, Okay, so.

980
00:54:02,080 --> 00:54:05,760
Speaker 6: You're mad at me for using this ancient practice.

981
00:54:05,760 --> 00:54:07,800
Speaker 2: Why don't you point out the guy that flies across

982
00:54:07,800 --> 00:54:11,560
Speaker 2: the country to hunt for the weekend. Yeah, talk about technology. Yeah,

983
00:54:12,040 --> 00:54:14,239
Speaker 2: I do want to an emails with his buddy about

984
00:54:14,239 --> 00:54:15,279
Speaker 2: what weekend he should go.

985
00:54:16,040 --> 00:54:20,960
Speaker 6: Yeah, if I should use carrier pigeons for all hunting correspondence,

986
00:54:20,960 --> 00:54:21,840
Speaker 6: that's what me and Randall do.

987
00:54:21,960 --> 00:54:28,400
Speaker 3: Oh frequently, could like magically transport Daniel Boone here for like,

988
00:54:28,480 --> 00:54:31,440
Speaker 3: do you think he'd even give a crap about like

989
00:54:31,480 --> 00:54:33,400
Speaker 3: the hunting side of things or you think he'd just

990
00:54:33,400 --> 00:54:36,000
Speaker 3: be like, so you're telling me, you guys are all

991
00:54:36,000 --> 00:54:39,680
Speaker 3: sitting here. You've never survived a typhus outbreak, never survived

992
00:54:39,760 --> 00:54:40,600
Speaker 3: yellow fever.

993
00:54:40,560 --> 00:54:41,799
Speaker 2: But you guys doing the Willman night.

994
00:54:44,239 --> 00:54:46,680
Speaker 5: He'd be horrified by the witchcraft we have wrapped around

995
00:54:46,719 --> 00:54:47,520
Speaker 5: our heads right now.

996
00:54:47,920 --> 00:54:50,600
Speaker 2: Yeah, it's just or would he care or he'd be

997
00:54:50,680 --> 00:54:54,120
Speaker 2: right in the middle of it. But I want to

998
00:54:54,160 --> 00:54:55,120
Speaker 2: move on to another subject.

999
00:54:55,200 --> 00:54:59,320
Speaker 6: But this is another subject we've discussed on the podcast.

1000
00:54:59,600 --> 00:55:03,280
Speaker 2: But I don't okay, we don't need to move on. Sorry,

1001
00:55:03,719 --> 00:55:09,160
Speaker 2: But it's like it's when looking at this kind of

1002
00:55:09,160 --> 00:55:11,480
Speaker 2: stuff you can get you can wind up throwing your

1003
00:55:11,480 --> 00:55:13,160
Speaker 2: hands in the air. You'd be like, well, what about

1004
00:55:13,239 --> 00:55:15,359
Speaker 2: Daniel Boone and they used to use black powder? Now

1005
00:55:15,400 --> 00:55:17,960
Speaker 2: we've got airplanes, and throw your hands in the air

1006
00:55:19,040 --> 00:55:25,240
Speaker 2: and just say whatever, okay, whatever, it's all changed anyway,

1007
00:55:25,760 --> 00:55:31,160
Speaker 2: or you can say, yes, I recognize that we've come

1008
00:55:31,239 --> 00:55:33,920
Speaker 2: a long long way in a couple hundred years, and

1009
00:55:33,960 --> 00:55:37,440
Speaker 2: we've had all these emerging technologies that have all rewritten

1010
00:55:37,719 --> 00:55:42,120
Speaker 2: stuff and we've had to adapt along the way. I

1011
00:55:42,200 --> 00:55:44,360
Speaker 2: get all that. I get all that that when you

1012
00:55:44,400 --> 00:55:46,759
Speaker 2: look at it in a fine with like under a

1013
00:55:46,840 --> 00:55:50,239
Speaker 2: fine you know, like a certain lens, you look at

1014
00:55:50,320 --> 00:55:53,560
Speaker 2: it all, it all seems ridiculous after all of this.

1015
00:55:53,640 --> 00:56:00,759
Speaker 2: Who cares about that? Right? Well? I care about that, like, like,

1016
00:56:01,120 --> 00:56:04,200
Speaker 2: I get it. But we're still here in the present day,

1017
00:56:04,840 --> 00:56:06,839
Speaker 2: and we still have a changing landscape and we still

1018
00:56:06,880 --> 00:56:08,799
Speaker 2: have to make decisions. And I don't think that looking

1019
00:56:08,840 --> 00:56:10,920
Speaker 2: at all the things that we didn't do and all

1020
00:56:10,920 --> 00:56:15,200
Speaker 2: the inevitability. There still are some things like drones, like

1021
00:56:15,280 --> 00:56:19,680
Speaker 2: poison and I'm in no way bucketing live scope. I

1022
00:56:20,080 --> 00:56:22,799
Speaker 2: don't really have a formed opinion about this yet. I'm

1023
00:56:22,800 --> 00:56:27,080
Speaker 2: just saying we will have to deal with this and

1024
00:56:27,960 --> 00:56:31,759
Speaker 2: a lifetime worth of other things, some things that just

1025
00:56:31,840 --> 00:56:34,840
Speaker 2: might seem from sitting here today, it might seem fantastical.

1026
00:56:35,600 --> 00:56:37,600
Speaker 2: It might come up and it be that it takes

1027
00:56:37,640 --> 00:56:40,960
Speaker 2: a lifetime to learn a lake, okay, and now you

1028
00:56:41,000 --> 00:56:45,600
Speaker 2: can learn well side view and all that. Maybe it doesn't.

1029
00:56:45,719 --> 00:56:48,719
Speaker 2: Maybe in an afternoon you can grid a lake and

1030
00:56:48,760 --> 00:56:50,359
Speaker 2: be like, I'll tell you how many fish are there,

1031
00:56:50,480 --> 00:56:55,120
Speaker 2: I'll tell you where they're at. Right? Is that.

1032
00:56:56,840 --> 00:56:57,319
Speaker 3: About this?

1033
00:56:57,400 --> 00:56:59,960
Speaker 6: What if think about like what the Boone and Crockett

1034
00:57:00,040 --> 00:57:03,279
Speaker 6: Club did in eighteen eighty seven when they kind of

1035
00:57:03,400 --> 00:57:08,160
Speaker 6: reformulated the way that our culture looked at and managed wildlife,

1036
00:57:08,200 --> 00:57:11,120
Speaker 6: you know, the simple version being going from market hunting

1037
00:57:11,520 --> 00:57:15,279
Speaker 6: to the sport hunting, Which, like, what if there's a

1038
00:57:15,440 --> 00:57:20,320
Speaker 6: time some decades from now when there requires that kind

1039
00:57:20,320 --> 00:57:21,440
Speaker 6: of paradigm shift.

1040
00:57:21,600 --> 00:57:22,840
Speaker 2: Sure, did you see what I'm saying?

1041
00:57:22,920 --> 00:57:25,800
Speaker 6: Like this paradigm shift that was and yeah, yeah, like

1042
00:57:25,960 --> 00:57:28,600
Speaker 6: there's there was a paradigm shift that had to take place,

1043
00:57:28,680 --> 00:57:32,240
Speaker 6: honestly because of technology and markets and increase of people

1044
00:57:32,720 --> 00:57:35,800
Speaker 6: and all this stuff. Like it's hard to foresee what

1045
00:57:35,840 --> 00:57:38,800
Speaker 6: that would be, but what if the take and there

1046
00:57:38,840 --> 00:57:41,080
Speaker 6: was so much pressure on the resource and there was

1047
00:57:41,120 --> 00:57:43,120
Speaker 6: this group of people that were like, hey, you know,

1048
00:57:43,200 --> 00:57:44,440
Speaker 6: like what that shift would be.

1049
00:57:44,720 --> 00:57:46,560
Speaker 2: Yeah, it's funny because this is the thing I like

1050
00:57:46,600 --> 00:57:55,000
Speaker 2: to point out to people how celebrated Teddy Roosevelt is today. Okay,

1051
00:57:55,040 --> 00:58:00,360
Speaker 2: the carvers facing Rushmore, Right, any politician would appreciate a

1052
00:58:00,440 --> 00:58:05,080
Speaker 2: favorable comparison to Teddy Roosevelt. There's no politician that would

1053
00:58:05,080 --> 00:58:08,480
Speaker 2: turn down. I take that back now, because there's certain

1054
00:58:09,560 --> 00:58:14,960
Speaker 2: most Okay, most politicians would welcome a favorable comparison to

1055
00:58:15,000 --> 00:58:18,920
Speaker 2: the conservation record of Theodore Roosevelt. But let's take a

1056
00:58:18,920 --> 00:58:25,160
Speaker 2: look at the time. Here's a guy saying he proposed

1057
00:58:25,160 --> 00:58:26,800
Speaker 2: this whole paradigm shift. He's like, you know what, let's

1058
00:58:26,800 --> 00:58:31,080
Speaker 2: not use wildlife for making money. Let's use wildlife as

1059
00:58:31,120 --> 00:58:35,800
Speaker 2: a recreational resource. Not only that, let's take huge chunks

1060
00:58:35,800 --> 00:58:39,800
Speaker 2: of the landscape and set it aside from industrial development.

1061
00:58:40,560 --> 00:58:44,920
Speaker 2: An industrial exploitation and take it off the record. He

1062
00:58:44,920 --> 00:58:54,480
Speaker 2: would have been he would have been a tree hugging libtard, right, yeah,

1063
00:58:54,720 --> 00:58:59,920
Speaker 2: he would have sat somewhere below Gavin Newsome to propose

1064
00:59:00,160 --> 00:59:01,160
Speaker 2: that stuff today.

1065
00:59:02,320 --> 00:59:03,080
Speaker 5: He's locking it all.

1066
00:59:03,280 --> 00:59:10,000
Speaker 2: They would have crucified him today. But now there's a

1067
00:59:10,200 --> 00:59:11,320
Speaker 2: conservation seconds.

1068
00:59:11,880 --> 00:59:14,480
Speaker 6: And when we talk about the guy that wanted to

1069
00:59:14,600 --> 00:59:16,720
Speaker 6: end market hunting and close off.

1070
00:59:16,480 --> 00:59:18,840
Speaker 2: All the land, that's a good point.

1071
00:59:18,680 --> 00:59:22,080
Speaker 3: Would we talk about And that's why this is not

1072
00:59:22,960 --> 00:59:26,160
Speaker 3: simple in any way. But when we talk about regulating

1073
00:59:26,200 --> 00:59:35,520
Speaker 3: a technology for wildlife, we're also talking about regulating an industry.

1074
00:59:33,680 --> 00:59:36,960
Speaker 6: Right, yeah, right, And because you know the live scope

1075
00:59:37,000 --> 00:59:39,920
Speaker 6: sonar boys aren't like a live scope band.

1076
00:59:39,800 --> 00:59:41,200
Speaker 3: Right, or just bikes.

1077
00:59:41,240 --> 00:59:44,160
Speaker 5: The archery industry is like no more boats, guys, the

1078
00:59:44,920 --> 00:59:46,520
Speaker 5: twenty twenty five line of bows?

1079
00:59:46,640 --> 00:59:48,880
Speaker 2: Is it? Well? This journalists want to talk about e

1080
00:59:48,960 --> 00:59:49,520
Speaker 2: bikes too?

1081
00:59:49,640 --> 00:59:55,320
Speaker 3: Oh really awesome? Let off for compound bows. He can't

1082
00:59:55,320 --> 00:59:58,240
Speaker 3: be over a percentage, you got. You know, there's all

1083
00:59:58,280 --> 01:00:03,200
Speaker 3: sorts of things that regulating technology would regulate industry, which

1084
01:00:03,280 --> 01:00:06,800
Speaker 3: is you know, not something that we really want to

1085
01:00:06,840 --> 01:00:10,040
Speaker 3: do in America in general.

1086
01:00:10,120 --> 01:00:12,440
Speaker 2: Right, here's one for you. How did it come to be.

1087
01:00:12,560 --> 01:00:14,120
Speaker 2: Maybe one of you guys knows. The answer is, how

1088
01:00:14,120 --> 01:00:16,600
Speaker 2: did it come to be that you can't use a laser,

1089
01:00:18,240 --> 01:00:19,840
Speaker 2: you can't use something to project light?

1090
01:00:20,000 --> 01:00:22,120
Speaker 6: Oh yeah, I don't know that. Why did no one

1091
01:00:22,320 --> 01:00:25,200
Speaker 6: get there? Why did no one get worked up about that?

1092
01:00:26,320 --> 01:00:28,439
Speaker 3: I don't know. Boy, you talk to pilots, they're sure

1093
01:00:29,120 --> 01:00:31,240
Speaker 3: serious about because people with lasers, Like.

1094
01:00:31,360 --> 01:00:33,040
Speaker 5: People saw it in the movies when the red dot

1095
01:00:33,080 --> 01:00:34,160
Speaker 5: appears and they're like, that.

1096
01:00:34,080 --> 01:00:37,360
Speaker 2: Looks pretty pretty easy. Yeah, no one raised a fuss

1097
01:00:37,400 --> 01:00:39,919
Speaker 2: when state said you can't use anything to project the light.

1098
01:00:41,320 --> 01:00:44,960
Speaker 7: And this is the technology discussion happens with like every

1099
01:00:45,080 --> 01:00:48,360
Speaker 7: hobby that you could think of. Really yeah, like right now,

1100
01:00:48,440 --> 01:00:52,480
Speaker 7: in golfing, they recently determined last golf balls have gotten

1101
01:00:52,480 --> 01:00:56,080
Speaker 7: too good and they're doing a rollback. By twenty twenty eight,

1102
01:00:56,280 --> 01:01:00,280
Speaker 7: professional golfers have to use like a more archaic golf

1103
01:01:00,280 --> 01:01:04,200
Speaker 7: ball than by twenty thirty. If you're a recreational golfer,

1104
01:01:04,280 --> 01:01:07,560
Speaker 7: you need to start using a more archaic golf.

1105
01:01:07,560 --> 01:01:09,920
Speaker 3: That makes sense because otherwise they have to redo golf courses.

1106
01:01:10,280 --> 01:01:14,919
Speaker 2: Yeah, they appreciate listen, but it's every hobby, think about

1107
01:01:14,920 --> 01:01:17,360
Speaker 2: it the whole But that thing the whole structures make believe.

1108
01:01:17,880 --> 01:01:20,440
Speaker 7: Well, there's like there's like all believe and you know

1109
01:01:20,560 --> 01:01:23,360
Speaker 7: this is like real, like that this is so our wildlife.

1110
01:01:23,560 --> 01:01:25,600
Speaker 2: Yeah, I appreciate the effort.

1111
01:01:25,640 --> 01:01:27,720
Speaker 8: It's it's like maybe country.

1112
01:01:27,760 --> 01:01:29,760
Speaker 3: Is huge laser range finder.

1113
01:01:30,320 --> 01:01:34,680
Speaker 7: Yeah, Marschnelle like created that about to make songs or

1114
01:01:34,800 --> 01:01:37,720
Speaker 7: or country music artist Clay Nukom. Maybe he doesn't like

1115
01:01:37,760 --> 01:01:40,120
Speaker 7: auto tune, he says, no more auto tune, got to

1116
01:01:40,120 --> 01:01:40,880
Speaker 7: tune it by ear.

1117
01:01:41,880 --> 01:01:43,840
Speaker 2: Yeah. I like that little sports to a bit. There.

1118
01:01:44,680 --> 01:01:48,360
Speaker 2: Here's a lot that's funny. Here's what it's funny. We

1119
01:01:48,400 --> 01:01:49,800
Speaker 2: had a podcast guest online.

1120
01:01:49,800 --> 01:01:52,440
Speaker 3: All right, if you're in Wisconsin, know that this is

1121
01:01:52,480 --> 01:01:55,480
Speaker 3: something that's coming up and it's just attention to.

1122
01:01:57,920 --> 01:01:59,880
Speaker 2: Okay, Yeah, so if you want to go back and

1123
01:02:00,080 --> 01:02:02,080
Speaker 2: time and not listen to that whole thing, there's your

1124
01:02:02,120 --> 01:02:05,080
Speaker 2: wrap up. That's up Wisconsin.

1125
01:02:05,400 --> 01:02:17,000
Speaker 1: They're coming for your Walleye acquisition tools.

1126
01:02:18,560 --> 01:02:18,680
Speaker 6: Uh.

1127
01:02:18,880 --> 01:02:20,800
Speaker 2: Here's a funny one. And I'm surprised that this guy

1128
01:02:20,920 --> 01:02:23,240
Speaker 2: liked it. So in the past we had on Bob Reid,

1129
01:02:23,280 --> 01:02:28,040
Speaker 2: who's a Python expert. Bob Reid, I later learned. I

1130
01:02:28,080 --> 01:02:32,120
Speaker 2: don't know if you know the story, doctor Bob the

1131
01:02:32,240 --> 01:02:36,280
Speaker 2: real doctor. He's a real doctor, nice doctor, Bob Reid.

1132
01:02:36,320 --> 01:02:39,120
Speaker 2: He's he's like a herpetologist or something. Right, Yeah, he

1133
01:02:39,160 --> 01:02:41,040
Speaker 2: works on he's with the USGS.

1134
01:02:41,120 --> 01:02:42,600
Speaker 3: He's working on birds now though.

1135
01:02:42,680 --> 01:02:44,520
Speaker 2: Oh at the time he was put on that he

1136
01:02:44,560 --> 01:02:46,480
Speaker 2: was doing a bunch of work around pythons in Florida.

1137
01:02:48,680 --> 01:02:50,280
Speaker 2: We hunted with a guy in Florida. And the guy

1138
01:02:50,280 --> 01:02:53,640
Speaker 2: in Florida's talking about his hunting mentor just hates me

1139
01:02:55,280 --> 01:02:59,200
Speaker 2: because I didn't push back on Bob Reid when Bob

1140
01:02:59,280 --> 01:03:06,160
Speaker 2: Reid explained to all this python catching, Python rodeos, python catchable,

1141
01:03:06,800 --> 01:03:13,200
Speaker 2: python has zero impact that there's like when you look

1142
01:03:13,200 --> 01:03:17,280
Speaker 2: at the numbers like python. Go back and listen to

1143
01:03:17,320 --> 01:03:17,800
Speaker 2: the podcast.

1144
01:03:17,800 --> 01:03:19,800
Speaker 5: So the guy who hates you is mad that you

1145
01:03:20,000 --> 01:03:22,080
Speaker 5: didn't make that point or diet.

1146
01:03:23,120 --> 01:03:25,280
Speaker 2: Apparently he's maybe a Python catcher. I don't know if

1147
01:03:25,280 --> 01:03:27,760
Speaker 2: it's funny that he was so mad that I didn't

1148
01:03:27,760 --> 01:03:31,680
Speaker 2: push back on the guy who models Python populations.

1149
01:03:31,800 --> 01:03:33,680
Speaker 5: He didn't like to suggest that he wasn't making.

1150
01:03:33,480 --> 01:03:40,160
Speaker 2: A difference for pointing out that mechanically removing pythons has

1151
01:03:40,280 --> 01:03:42,520
Speaker 2: and and go back and listen to the episode. Not

1152
01:03:42,640 --> 01:03:45,920
Speaker 2: my you know, follow the science like not my science.

1153
01:03:46,200 --> 01:03:50,520
Speaker 2: Bob Reid, a guy that models Burmese python populations in Florida,

1154
01:03:50,600 --> 01:03:55,919
Speaker 2: pointing out that that is all just whistling Dixie has

1155
01:03:56,200 --> 01:04:01,760
Speaker 2: no implications. Driving up on those levees picking up snakes

1156
01:04:01,760 --> 01:04:06,200
Speaker 2: doesn't mean anything, just like anyone would admit shooting carp

1157
01:04:06,520 --> 01:04:14,360
Speaker 2: don't matter. Shooting carp don't matter anyhow. That guy, Bob Reid,

1158
01:04:14,520 --> 01:04:16,919
Speaker 2: who gave me sitting in my office is a one

1159
01:04:16,960 --> 01:04:19,920
Speaker 2: court jar of genuine snake oil. He gave me a

1160
01:04:19,960 --> 01:04:22,880
Speaker 2: jar of genuine snake oil rendered off of Burmese python.

1161
01:04:23,680 --> 01:04:26,520
Speaker 2: I'm surprised, Bob, that this article tickled you the way

1162
01:04:26,520 --> 01:04:26,960
Speaker 2: that it did.

1163
01:04:27,760 --> 01:04:30,160
Speaker 6: Have you used that oil for anything, yet no saving

1164
01:04:30,160 --> 01:04:35,880
Speaker 6: it for toothaches, bad fowls, rheumatism, stuff like that. When

1165
01:04:36,320 --> 01:04:38,800
Speaker 6: I was in Guyana, it was frowned upon to kill

1166
01:04:38,840 --> 01:04:41,000
Speaker 6: a it's frowned upon to kill an anaconda.

1167
01:04:41,520 --> 01:04:43,880
Speaker 2: But they said that two things they told me that

1168
01:04:43,960 --> 01:04:46,920
Speaker 2: was interesting. Old people can kill them to get the

1169
01:04:46,960 --> 01:04:52,280
Speaker 2: fat for arthritis. And he said that touching an anaconda

1170
01:04:52,400 --> 01:04:56,000
Speaker 2: with a bow is lethal to the anaconda, but it's

1171
01:04:56,040 --> 01:04:58,520
Speaker 2: a painful death and it takes a long time. But

1172
01:04:58,640 --> 01:05:00,360
Speaker 2: touching it with a different kind of stick will not

1173
01:05:00,480 --> 01:05:02,920
Speaker 2: kill it. But if you were to touch it with

1174
01:05:02,960 --> 01:05:05,560
Speaker 2: the limb of a bow, it will die later.

1175
01:05:06,360 --> 01:05:08,760
Speaker 7: Do you think you're gonna die with that quart of

1176
01:05:09,680 --> 01:05:13,840
Speaker 7: snake oil? Still? They're not unused, Like it's gonna kill me?

1177
01:05:14,000 --> 01:05:14,040
Speaker 6: No?

1178
01:05:14,080 --> 01:05:15,640
Speaker 2: No, Like are you going.

1179
01:05:15,520 --> 01:05:17,040
Speaker 5: To be able to pull the trigger?

1180
01:05:17,160 --> 01:05:19,280
Speaker 2: Well? I think about putting it in the auction House

1181
01:05:19,280 --> 01:05:21,800
Speaker 2: of Oddities, and I think about, I don't know, I

1182
01:05:21,840 --> 01:05:24,479
Speaker 2: haven't said what I'm gonna do it yet, probably gonna

1183
01:05:24,560 --> 01:05:26,520
Speaker 2: at some point it's gonna go bad on me. You

1184
01:05:26,560 --> 01:05:28,760
Speaker 2: just need to leave it in a jar.

1185
01:05:28,960 --> 01:05:30,560
Speaker 6: You can split it in two, you know, have like

1186
01:05:30,560 --> 01:05:33,720
Speaker 6: two small jars and put it in the windows like decoration.

1187
01:05:34,040 --> 01:05:36,600
Speaker 6: It'll last the rest of your life.

1188
01:05:38,880 --> 01:05:39,280
Speaker 2: Uh.

1189
01:05:39,480 --> 01:05:41,680
Speaker 3: Clay pointed out earlier that yeah, you should be rubbing

1190
01:05:41,720 --> 01:05:42,560
Speaker 3: that stuff in your hair.

1191
01:05:43,320 --> 01:05:45,000
Speaker 2: Yeah, okay, faking it up.

1192
01:05:45,040 --> 01:05:47,480
Speaker 6: I mean cures balding obviously.

1193
01:05:47,520 --> 01:05:49,439
Speaker 2: Well look at yeah I believe that was your head. Yeah,

1194
01:05:49,600 --> 01:05:56,080
Speaker 2: my goodness, Okay, Bob Reid, like this this is like, listen,

1195
01:05:56,360 --> 01:06:00,360
Speaker 2: God bless these researchers just seems so silly. So some

1196
01:06:00,400 --> 01:06:12,560
Speaker 2: researchers did a thing where they in California they put GPS. Okay,

1197
01:06:13,600 --> 01:06:16,000
Speaker 2: our friend, this is Carean writing our friend Bobber. He'd

1198
01:06:16,040 --> 01:06:18,320
Speaker 2: sent this to us. It's very interesting, he says, I've

1199
01:06:18,360 --> 01:06:21,760
Speaker 2: never seen habitat selection methods applied to people, but it's

1200
01:06:21,760 --> 01:06:25,480
Speaker 2: a cool concept. Kind of a bummer that road hunters

1201
01:06:25,480 --> 01:06:31,120
Speaker 2: appear to have higher success rates. So these people did

1202
01:06:31,120 --> 01:06:33,200
Speaker 2: a study as though they needed to figure this out,

1203
01:06:33,240 --> 01:06:34,600
Speaker 2: like you know how you look at you put radio

1204
01:06:34,640 --> 01:06:37,080
Speaker 2: collars on links, like for instance, we've had a researcher

1205
01:06:37,120 --> 01:06:40,400
Speaker 2: on the podcast and they're wondering, how do links use

1206
01:06:40,680 --> 01:06:44,880
Speaker 2: burned over territory, meaning when you when there's a big

1207
01:06:44,920 --> 01:06:48,080
Speaker 2: giant forest fire in the Northern Cascades and you knuke

1208
01:06:48,120 --> 01:06:54,640
Speaker 2: the place creators leave. Uh, let's take so that's narrowing

1209
01:06:54,680 --> 01:06:56,880
Speaker 2: it look like, okay, take let's take links. At what

1210
01:06:57,200 --> 01:07:00,440
Speaker 2: point in succession does a link say I'm going to

1211
01:07:00,480 --> 01:07:03,480
Speaker 2: move back in. It's now gotten to a point where

1212
01:07:03,480 --> 01:07:06,640
Speaker 2: I like it again, right, And they find that that

1213
01:07:07,200 --> 01:07:09,560
Speaker 2: as it grows, it gets to a point where they

1214
01:07:09,560 --> 01:07:12,840
Speaker 2: weave in and out and they start utilizing it, but

1215
01:07:12,840 --> 01:07:15,439
Speaker 2: they don't want to stand it. And then it gets

1216
01:07:15,480 --> 01:07:17,280
Speaker 2: to a point where they're like, I'm moving back in

1217
01:07:18,160 --> 01:07:21,080
Speaker 2: and they move back in Okay, So that's like habitat us.

1218
01:07:21,160 --> 01:07:25,760
Speaker 2: It's super interesting research, especially in the era of megafiers. Right,

1219
01:07:25,800 --> 01:07:28,280
Speaker 2: so how will megafiers like what does it do for wildlife?

1220
01:07:28,320 --> 01:07:30,600
Speaker 2: And we all everyone watches that you place will burn

1221
01:07:30,880 --> 01:07:33,320
Speaker 2: and we'll say, man, that's gonna be sweet. DRNL hunting

1222
01:07:35,760 --> 01:07:38,800
Speaker 2: insert time period, right, and then it usually gets to

1223
01:07:38,800 --> 01:07:42,240
Speaker 2: a point where it sucks. It gets like it's it's

1224
01:07:42,360 --> 01:07:48,040
Speaker 2: it's nuked, it gets really good, it gets no good,

1225
01:07:48,680 --> 01:07:52,800
Speaker 2: and then eventually returns just being normal. You know. Well,

1226
01:07:52,840 --> 01:07:54,920
Speaker 2: they're looking at how to hunters use habitat and I

1227
01:07:54,920 --> 01:07:56,280
Speaker 2: just don't think they needed to go through all the

1228
01:07:56,320 --> 01:07:57,760
Speaker 2: hass So they did to do it, but they put

1229
01:07:57,800 --> 01:08:01,600
Speaker 2: GPS monitors on hunters. They found the hunters hunt. They

1230
01:08:01,640 --> 01:08:06,280
Speaker 2: found that hunters hunt three ways. Where is this They

1231
01:08:06,360 --> 01:08:15,360
Speaker 2: hunt one second, coursing, stalking, sit and wait. They determined

1232
01:08:15,400 --> 01:08:23,679
Speaker 2: that hunters course around, they still hunt, hunters will stalk stuff,

1233
01:08:24,520 --> 01:08:31,840
Speaker 2: and hunters will sit and watch. Now and here's the

1234
01:08:31,880 --> 01:08:33,679
Speaker 2: breaking news. It kind of depends where you're at.

1235
01:08:35,680 --> 01:08:37,759
Speaker 7: I've never heard of it referred to as coursing.

1236
01:08:39,439 --> 01:08:42,920
Speaker 5: I think it's a biological concept. When they study like

1237
01:08:42,920 --> 01:08:44,240
Speaker 5: how predators find prey.

1238
01:08:44,880 --> 01:08:47,559
Speaker 6: What does that mean? You're just wandering around.

1239
01:08:47,439 --> 01:08:50,400
Speaker 5: Coursely moving hoping to come across something.

1240
01:08:50,880 --> 01:08:53,599
Speaker 6: What I want to know is is is there some

1241
01:08:53,640 --> 01:08:59,800
Speaker 6: selection bias for the hunter that would volunteer to do this? Well, yeah, maybe,

1242
01:09:00,360 --> 01:09:01,080
Speaker 6: or think about like.

1243
01:09:01,000 --> 01:09:08,520
Speaker 5: I better keep moving and realize I'm lazy.

1244
01:09:08,680 --> 01:09:09,920
Speaker 2: He's like circles.

1245
01:09:11,400 --> 01:09:14,080
Speaker 6: No, the best hunters, you know, are they going to

1246
01:09:14,120 --> 01:09:16,400
Speaker 6: put a GPS in their bag.

1247
01:09:17,680 --> 01:09:18,560
Speaker 2: Without incentive?

1248
01:09:18,800 --> 01:09:24,080
Speaker 3: We all do well phone yeah, like you know, no,

1249
01:09:24,120 --> 01:09:24,759
Speaker 3: but yeah.

1250
01:09:26,960 --> 01:09:28,680
Speaker 6: Maybe some good hunters would be like, yeah, I'll be

1251
01:09:28,680 --> 01:09:29,360
Speaker 6: a part of your study.

1252
01:09:29,439 --> 01:09:32,160
Speaker 2: I'm not down on GPS on hunters for starties because,

1253
01:09:32,240 --> 01:09:35,720
Speaker 2: like you talk about Mike Chamberlain's work now here, you

1254
01:09:35,840 --> 01:09:40,720
Speaker 2: got turkeys with tracking devices, and then you put a

1255
01:09:40,800 --> 01:09:44,200
Speaker 2: hunter on the turkey with a tracking device, and in

1256
01:09:44,200 --> 01:09:48,200
Speaker 2: some instances you tell the hunter where that bird is,

1257
01:09:49,960 --> 01:09:52,280
Speaker 2: so he's like, he's roosted here. I'll give you that.

1258
01:09:53,560 --> 01:09:56,800
Speaker 2: And then they watch what happens, and they found birds

1259
01:09:56,800 --> 01:10:01,599
Speaker 2: that can't be killed. They just navigated. They found anyone

1260
01:10:01,680 --> 01:10:04,519
Speaker 2: wants to hear, Like, go way back to Mike Chamberlain

1261
01:10:04,560 --> 01:10:06,960
Speaker 2: being on the podcast. They had a bird that couldn't

1262
01:10:06,960 --> 01:10:11,160
Speaker 2: get killed, and eventually a guy killed. It is a

1263
01:10:11,200 --> 01:10:15,519
Speaker 2: guy got a fight with his wife and gets all

1264
01:10:15,560 --> 01:10:18,920
Speaker 2: pissed off. It drives down to the state game area,

1265
01:10:19,439 --> 01:10:22,479
Speaker 2: just drives right past the sign, walks over a little hill,

1266
01:10:22,520 --> 01:10:24,559
Speaker 2: sits down and kills the bird that camp be killed.

1267
01:10:24,880 --> 01:10:26,880
Speaker 2: And they had been sicken hunters on that bird and

1268
01:10:26,920 --> 01:10:28,000
Speaker 2: people couldn't kill that bird.

1269
01:10:28,120 --> 01:10:32,080
Speaker 6: Well, hey, that reminds me of Barry Newcomb's hunt the

1270
01:10:32,160 --> 01:10:35,280
Speaker 6: other day that he had on public land. He had

1271
01:10:35,320 --> 01:10:39,000
Speaker 6: him for four days. Super short story. The morning that

1272
01:10:39,080 --> 01:10:43,360
Speaker 6: he killed his gobbler, he had four different guys he could.

1273
01:10:43,520 --> 01:10:46,720
Speaker 6: He was sitting across this big, big ravine and he

1274
01:10:46,880 --> 01:10:52,080
Speaker 6: saw headlamps coming down to this goblin turkey like before daylight,

1275
01:10:52,720 --> 01:10:55,160
Speaker 6: and he and and he heard a guy above him, Allan,

1276
01:10:56,000 --> 01:10:58,599
Speaker 6: and he hears this one turkey and all these guys

1277
01:10:58,680 --> 01:11:01,760
Speaker 6: hear it, and he knew what that turkey had done

1278
01:11:01,800 --> 01:11:04,519
Speaker 6: the day before, and so he took off up the

1279
01:11:04,600 --> 01:11:08,120
Speaker 6: mountain and he got pretty lucky. But it was also

1280
01:11:08,240 --> 01:11:11,920
Speaker 6: informed luck. Ye, And I mean basically bushwhacked that turkey.

1281
01:11:12,040 --> 01:11:15,240
Speaker 2: Sure, yeah, yeah, it wasn't it.

1282
01:11:15,439 --> 01:11:18,120
Speaker 6: I mean that turkey heard those box calls going off

1283
01:11:18,120 --> 01:11:20,360
Speaker 6: at daylight and was just like out.

1284
01:11:20,200 --> 01:11:23,840
Speaker 2: Of here too much. Don't sound right. He's like a

1285
01:11:23,840 --> 01:11:25,160
Speaker 2: lot more hens in here than there was.

1286
01:11:25,280 --> 01:11:28,280
Speaker 6: Yes, yeah, yeah, and they're carrying headlamps.

1287
01:11:30,160 --> 01:11:36,800
Speaker 2: Pat Dirkin just wrote an article, So here's the background

1288
01:11:37,439 --> 01:11:40,719
Speaker 2: and the report published April third in the peer reviewed

1289
01:11:40,800 --> 01:11:44,559
Speaker 2: journal Frontiers and Conservation Science. Not familiar, you're familiar.

1290
01:11:45,240 --> 01:11:45,960
Speaker 5: I've heard of it.

1291
01:11:48,200 --> 01:11:52,200
Speaker 2: Research was from Cornell in University of Wisconsin at Madison.

1292
01:11:53,640 --> 01:11:58,599
Speaker 2: Came out to say, the states have flubbed deer management.

1293
01:11:58,680 --> 01:12:04,000
Speaker 2: States have blown it to me deer. They're managing deer

1294
01:12:04,160 --> 01:12:08,680
Speaker 2: for the benefit of too few people. Too may deer

1295
01:12:08,760 --> 01:12:12,479
Speaker 2: run around getting too many car crashes. Now we've got

1296
01:12:12,520 --> 01:12:16,800
Speaker 2: disease issues. We should bring in the FEDS and hand

1297
01:12:16,840 --> 01:12:19,640
Speaker 2: deer management in the United States of America over to

1298
01:12:19,680 --> 01:12:23,680
Speaker 2: a federal agency. That's one of those just shot in

1299
01:12:23,720 --> 01:12:29,840
Speaker 2: the dark academic papers. That's a news that's like kind

1300
01:12:29,880 --> 01:12:32,479
Speaker 2: of be provocative. That's poking the who do you poke?

1301
01:12:32,600 --> 01:12:36,320
Speaker 2: Poking the bear bears, not dragons. That's a poking the bear.

1302
01:12:36,520 --> 01:12:40,280
Speaker 3: Poking the dragon. That's a good one though, because like

1303
01:12:40,360 --> 01:12:43,360
Speaker 3: you know, darn getting well, our buddy Doug Duran would

1304
01:12:43,400 --> 01:12:51,640
Speaker 3: be like, you know, his very informed argument, right, is

1305
01:12:51,680 --> 01:12:55,280
Speaker 3: like look at the brows, look at the forestry correlation

1306
01:12:55,520 --> 01:13:00,000
Speaker 3: to deer populations. It's like these are unhealthy for us,

1307
01:13:00,200 --> 01:13:02,439
Speaker 3: caused by unhealthy deer numbers.

1308
01:13:04,000 --> 01:13:05,760
Speaker 7: Do you think he would argue on behalf of the

1309
01:13:05,800 --> 01:13:07,280
Speaker 7: FEDS managing deer.

1310
01:13:07,360 --> 01:13:08,000
Speaker 2: Is that what you're saying.

1311
01:13:08,000 --> 01:13:10,960
Speaker 3: I think he would if it. If it's saying it's

1312
01:13:10,960 --> 01:13:13,080
Speaker 3: going to be a stronger deer management, it's more of

1313
01:13:13,120 --> 01:13:17,240
Speaker 3: a holistic landscape management, then yeah, he would be persuaded

1314
01:13:17,280 --> 01:13:17,719
Speaker 3: that way.

1315
01:13:17,920 --> 01:13:21,600
Speaker 6: They say that, they that, they say that current management

1316
01:13:21,640 --> 01:13:26,080
Speaker 6: agencies have allowed deer impacts to grow into nationwide into

1317
01:13:26,080 --> 01:13:29,160
Speaker 6: a nationwide conservation and human health crisis.

1318
01:13:30,400 --> 01:13:32,800
Speaker 2: Come on, I mean, I mean a little a little

1319
01:13:32,800 --> 01:13:33,559
Speaker 2: bit like come on.

1320
01:13:33,640 --> 01:13:37,479
Speaker 5: My knee jerk reaction. I'm I'm typically always in favor

1321
01:13:37,479 --> 01:13:39,880
Speaker 5: of consolidating power at a higher level.

1322
01:13:41,439 --> 01:13:53,240
Speaker 13: Really, I was trying to I was like, what, sorry, sorry, Arkansas, Yeah,

1323
01:13:53,280 --> 01:13:53,719
Speaker 13: my bad.

1324
01:13:54,160 --> 01:13:57,599
Speaker 2: Go Yeah.

1325
01:13:57,680 --> 01:13:59,800
Speaker 5: I mean I feel like calling I feel like that

1326
01:14:00,160 --> 01:14:03,640
Speaker 5: sort of reflexively just goes against everybody's instinct, especially when

1327
01:14:03,640 --> 01:14:06,040
Speaker 5: it comes to wildlife management. It's like, we should just

1328
01:14:06,080 --> 01:14:08,200
Speaker 5: take this all away from the states in the way

1329
01:14:08,240 --> 01:14:12,960
Speaker 5: that things have been going on, and just centralize decision making.

1330
01:14:13,040 --> 01:14:14,680
Speaker 2: If I was at the state level on this, I

1331
01:14:14,720 --> 01:14:22,880
Speaker 2: would point out I would say that the states, they're there,

1332
01:14:23,000 --> 01:14:26,519
Speaker 2: the state, the state's management policies are suffering from social issues,

1333
01:14:27,200 --> 01:14:29,880
Speaker 2: meaning they're saying please kill dose kill white tail? Does

1334
01:14:29,920 --> 01:14:33,880
Speaker 2: please please please? Reported on it last year the head

1335
01:14:33,880 --> 01:14:36,600
Speaker 2: of the Michigan State Agency came out and said, I

1336
01:14:36,640 --> 01:14:38,960
Speaker 2: don't know what to do. We can't get people to kill.

1337
01:14:38,960 --> 01:14:47,679
Speaker 2: Does right? People aren't killing dose hunters. I would almost

1338
01:14:47,680 --> 01:14:49,840
Speaker 2: look at like a wake up call. So unless the

1339
01:14:49,840 --> 01:14:51,639
Speaker 2: Feds are gonna come in, and the Feds are gonna

1340
01:14:51,640 --> 01:14:53,240
Speaker 2: they're gonna have to do one of two things. The

1341
01:14:53,240 --> 01:14:54,519
Speaker 2: Feds are gonna come in, They're gonna.

1342
01:14:54,320 --> 01:14:56,200
Speaker 6: Have to make it that people have to kill deer,

1343
01:14:56,600 --> 01:14:59,360
Speaker 6: which is gonna go over well, like like you get

1344
01:14:59,360 --> 01:15:00,920
Speaker 6: a letter in the man Well, it's like jury dude,

1345
01:15:02,720 --> 01:15:05,120
Speaker 6: Like it's like a jury duty summons saying you gotta

1346
01:15:05,160 --> 01:15:08,320
Speaker 6: go kill those quota Like what really are they gonna do?

1347
01:15:08,640 --> 01:15:11,800
Speaker 6: Or this guy is or these researchers saying we're gonna

1348
01:15:11,840 --> 01:15:13,680
Speaker 6: bring in the Feds and we're gonna bring in We're

1349
01:15:13,680 --> 01:15:15,840
Speaker 6: gonna you know, remember all the black helicopters when.

1350
01:15:15,720 --> 01:15:17,200
Speaker 2: They're gonna pose the New World Order.

1351
01:15:17,439 --> 01:15:21,360
Speaker 6: They're gonna get those black helicopters fueled up, and the

1352
01:15:21,400 --> 01:15:23,759
Speaker 6: feds are gonna start to deer eradication program.

1353
01:15:23,800 --> 01:15:24,960
Speaker 2: Well maybe what are they gonna do.

1354
01:15:25,120 --> 01:15:29,920
Speaker 5: Maybe they're gonna bring in drones. Yeah, just drones. I mean,

1355
01:15:30,080 --> 01:15:32,240
Speaker 5: I do wonder if the argument is the arguments that

1356
01:15:32,280 --> 01:15:35,360
Speaker 5: the federal government wouldn't be as constrained by social.

1357
01:15:36,880 --> 01:15:39,120
Speaker 2: The social but they're not constrained. The states are saying,

1358
01:15:39,160 --> 01:15:42,080
Speaker 2: please kill those please, what's gonna take? What's gonna take?

1359
01:15:42,280 --> 01:15:43,760
Speaker 2: How about we do this? How about we make it

1360
01:15:43,800 --> 01:15:46,120
Speaker 2: that you can't kill a book until you to kill those. Well,

1361
01:15:46,240 --> 01:15:49,960
Speaker 2: those programs don't work. Yeah, how about we give you

1362
01:15:50,000 --> 01:15:54,040
Speaker 2: all the dough tags you want. Tried that? How about

1363
01:15:54,080 --> 01:15:56,160
Speaker 2: we let you hunt pretty much seven months out of

1364
01:15:56,160 --> 01:15:59,680
Speaker 2: the year. Tried that. How About we make it.

1365
01:15:59,600 --> 01:16:03,360
Speaker 6: Where you can and donate even an ungutted dough to

1366
01:16:03,520 --> 01:16:05,720
Speaker 6: a food bank and they do all the work for you.

1367
01:16:05,800 --> 01:16:07,400
Speaker 6: I mean, I think it's all a lot of it's

1368
01:16:07,439 --> 01:16:10,360
Speaker 6: about work. It's like you're out there home and it's like,

1369
01:16:10,439 --> 01:16:11,519
Speaker 6: do I want to shoot this dough?

1370
01:16:12,800 --> 01:16:12,960
Speaker 2: Time?

1371
01:16:13,000 --> 01:16:17,080
Speaker 6: When I shoot this animal? This this starts a pretty

1372
01:16:17,080 --> 01:16:17,919
Speaker 6: big process.

1373
01:16:18,040 --> 01:16:20,160
Speaker 2: How About we let you use kind of a gun

1374
01:16:20,479 --> 01:16:25,639
Speaker 2: during deer archery season. It's like there's nothing. There's nothing

1375
01:16:25,880 --> 01:16:31,960
Speaker 2: that they're trying everywhere that has uh that has a

1376
01:16:32,360 --> 01:16:35,320
Speaker 2: I don't know, like an over objective deer herd. They're trying,

1377
01:16:37,040 --> 01:16:39,360
Speaker 2: so bringing the feds, but until they're going to bring

1378
01:16:39,360 --> 01:16:41,640
Speaker 2: in like a punishment mechanism, Like I don't really know.

1379
01:16:42,439 --> 01:16:43,920
Speaker 2: I haven't read the stupid article either.

1380
01:16:44,120 --> 01:16:46,800
Speaker 7: I know researchers literally wrote this, but it feels like

1381
01:16:46,800 --> 01:16:51,280
Speaker 7: a straw man argument, like there are very very few researchers, biologists,

1382
01:16:51,640 --> 01:16:54,320
Speaker 7: federal or state level that would make the same argument.

1383
01:16:54,400 --> 01:16:57,160
Speaker 2: It's a bear poke. Yeah, Like it's it's just uh poke.

1384
01:16:57,680 --> 01:16:59,280
Speaker 7: There's no folks that agree.

1385
01:17:00,200 --> 01:17:05,160
Speaker 3: What would be your letter to the judge be like

1386
01:17:05,280 --> 01:17:09,360
Speaker 3: I got to get out of dough duty, you know,

1387
01:17:09,479 --> 01:17:12,600
Speaker 3: the boss, or travel a lot for work. I'm not

1388
01:17:12,640 --> 01:17:13,200
Speaker 3: going to be there.

1389
01:17:13,240 --> 01:17:15,519
Speaker 6: I'd be like, man, hey, I got a huge buck

1390
01:17:15,600 --> 01:17:20,160
Speaker 6: on camera. He's coming into the corn like every afternoon.

1391
01:17:20,240 --> 01:17:23,519
Speaker 2: I don't get by dose. I really I can't do

1392
01:17:23,600 --> 01:17:23,960
Speaker 2: this right.

1393
01:17:26,439 --> 01:17:26,679
Speaker 14: Uh.

1394
01:17:27,320 --> 01:17:33,160
Speaker 2: Last, what we're gonna get into this is a touchy one.

1395
01:17:34,240 --> 01:17:35,840
Speaker 2: B l M is going to deny the permit for

1396
01:17:35,880 --> 01:17:44,240
Speaker 2: the Ambler Road project. Yeah, yep, b the bl Bureau

1397
01:17:44,280 --> 01:17:46,160
Speaker 2: Land Manager. Well, first off, here's the sorry.

1398
01:17:46,000 --> 01:17:50,400
Speaker 3: Not deny, right, they're they're just they're doing a no decision,

1399
01:17:50,680 --> 01:17:52,519
Speaker 3: no action, no action.

1400
01:17:52,720 --> 01:17:58,360
Speaker 2: Not issue. Yeah, Ambler Road was there's an Ambler mining there.

1401
01:17:58,479 --> 01:18:03,040
Speaker 2: There's a what's the word for a whole bunch.

1402
01:18:02,880 --> 01:18:06,520
Speaker 3: Just like a pot of gold, Yeah, like untold billions,

1403
01:18:06,520 --> 01:18:11,599
Speaker 3: but estimated in the many, many billions of dollars worth

1404
01:18:11,640 --> 01:18:15,040
Speaker 3: of wealth in various ores.

1405
01:18:15,640 --> 01:18:19,320
Speaker 2: High end minerals, stuff that be used for cell phones,

1406
01:18:19,439 --> 01:18:23,040
Speaker 2: stuff to be used gold as in the Ambler Mining district.

1407
01:18:24,520 --> 01:18:27,519
Speaker 2: What's preventing extraction of those resources is they would need

1408
01:18:27,560 --> 01:18:32,320
Speaker 2: to build a two hundred and fifty mile industrial corridor

1409
01:18:33,640 --> 01:18:37,960
Speaker 2: cutting through the southern face of the cutting across the

1410
01:18:37,960 --> 01:18:43,160
Speaker 2: southern face of the Brooks Range. It would have what

1411
01:18:43,200 --> 01:18:46,920
Speaker 2: would it would cross thousands of streams and rivers in

1412
01:18:47,000 --> 01:18:50,080
Speaker 2: an area that right now is an unroaded you know,

1413
01:18:50,160 --> 01:18:53,400
Speaker 2: it's it's kind of like the biggest chunk of non

1414
01:18:53,479 --> 01:18:55,439
Speaker 2: developed landscape we have on the continent.

1415
01:18:55,840 --> 01:18:59,559
Speaker 3: People would use the word pristine, yeah, right, well, like

1416
01:18:59,600 --> 01:19:00,639
Speaker 3: it's not developed.

1417
01:19:00,720 --> 01:19:03,600
Speaker 2: It would be baseline pristine, right. It would be like

1418
01:19:03,640 --> 01:19:04,439
Speaker 2: you know, people love to.

1419
01:19:04,520 --> 01:19:07,360
Speaker 3: Argue about pristine versus Daniel Boonez.

1420
01:19:08,080 --> 01:19:11,439
Speaker 2: When people love to argue about, you know, definitions of

1421
01:19:11,479 --> 01:19:14,200
Speaker 2: wilderness and all that, like, you know, it's a human

1422
01:19:14,280 --> 01:19:17,040
Speaker 2: it's a made up concept, and to Native Americans it

1423
01:19:17,080 --> 01:19:21,599
Speaker 2: was home and it's not all that aside that would

1424
01:19:21,600 --> 01:19:23,280
Speaker 2: be if you're going to fine wilderness, I'd be like, well,

1425
01:19:23,360 --> 01:19:27,240
Speaker 2: let's start with that. Okay, two hundred and fifty mile

1426
01:19:27,360 --> 01:19:32,720
Speaker 2: corridor that would have been not open for public use.

1427
01:19:33,439 --> 01:19:35,920
Speaker 2: That was part of the deal they were brokering. It's like,

1428
01:19:35,960 --> 01:19:38,120
Speaker 2: so people like, what about all this penetration of all

1429
01:19:38,160 --> 01:19:40,439
Speaker 2: this vehicular traffic, Well, we wouldn't use it for that.

1430
01:19:40,479 --> 01:19:44,320
Speaker 2: It will only be used for mining. There's a lot

1431
01:19:44,320 --> 01:19:46,640
Speaker 2: of people that wanted it, the political you know, like

1432
01:19:46,680 --> 01:19:49,040
Speaker 2: a lot of the political establishment in Alaska wanted it.

1433
01:19:51,120 --> 01:19:53,080
Speaker 2: There were Native villages that were in support of it,

1434
01:19:54,120 --> 01:19:58,840
Speaker 2: and a lot of people didn't want it. I I

1435
01:19:58,880 --> 01:20:02,160
Speaker 2: took like a very he like, my look on it

1436
01:20:02,200 --> 01:20:05,080
Speaker 2: is real simple. My look on it was I worry

1437
01:20:05,080 --> 01:20:08,080
Speaker 2: more about running out of wilderness than I worry about

1438
01:20:08,160 --> 01:20:10,760
Speaker 2: running out of roads, and I didn't want to see

1439
01:20:10,760 --> 01:20:14,000
Speaker 2: it happened. And that's how that trivialize the arguments that

1440
01:20:14,040 --> 01:20:16,880
Speaker 2: our people have about job creation and economics, and like,

1441
01:20:17,240 --> 01:20:19,880
Speaker 2: you know, the national security concerns about where we get

1442
01:20:19,880 --> 01:20:22,040
Speaker 2: your minerals from. I look at it like in like

1443
01:20:22,080 --> 01:20:24,160
Speaker 2: three hundred years down the road, not even one hundred

1444
01:20:24,200 --> 01:20:26,120
Speaker 2: years down the road, whatever it is, I think that

1445
01:20:26,200 --> 01:20:28,760
Speaker 2: most people would be glad we didn't do it, just

1446
01:20:28,800 --> 01:20:32,519
Speaker 2: like now, it was controversial. It was. It was as

1447
01:20:32,520 --> 01:20:35,759
Speaker 2: we talked about, when Theodore Roosevelt made the National Forest System,

1448
01:20:36,960 --> 01:20:39,960
Speaker 2: people were pissed. They made legislation to prevent him from

1449
01:20:40,040 --> 01:20:42,439
Speaker 2: keep doing it. Now we're like, thank god he did that.

1450
01:20:43,400 --> 01:20:47,320
Speaker 2: Let's carve him in a big mountain next to George Washington.

1451
01:20:48,280 --> 01:20:51,639
Speaker 2: You know, sure, glad he thought to do that. Let's

1452
01:20:51,680 --> 01:20:54,600
Speaker 2: call you know, a bunch of conservation groups Theodore Roosevelt

1453
01:20:54,600 --> 01:20:58,720
Speaker 2: this and that. Uh, no one is gonna I don't

1454
01:20:58,720 --> 01:21:00,760
Speaker 2: think anyone down the road would have been glad we've

1455
01:21:00,760 --> 01:21:05,519
Speaker 2: done that. They were gonna put a big mine, they

1456
01:21:05,560 --> 01:21:09,160
Speaker 2: were gonna put a big dam in Livingstone at a time,

1457
01:21:10,320 --> 01:21:14,599
Speaker 2: in flood that valley. Do you think anyone right now

1458
01:21:14,720 --> 01:21:17,480
Speaker 2: as pissed as they were when they couldn't do it,

1459
01:21:17,520 --> 01:21:19,680
Speaker 2: is anyone right now saying God, I really wish we'd

1460
01:21:19,720 --> 01:21:20,880
Speaker 2: damned that whole damn thing up.

1461
01:21:21,040 --> 01:21:24,439
Speaker 5: The jet ski industry, the jets industry, the jes ski.

1462
01:21:24,400 --> 01:21:29,000
Speaker 2: Industry is bummed. There's just certain conservation moves that later

1463
01:21:29,520 --> 01:21:31,200
Speaker 2: people will look and be like, wow, glad we didn't

1464
01:21:31,200 --> 01:21:31,479
Speaker 2: do that.

1465
01:21:31,800 --> 01:21:34,040
Speaker 5: I mean, it's the same thing, not the same thing,

1466
01:21:34,080 --> 01:21:36,559
Speaker 5: but it's it parallels in some way as the conversation

1467
01:21:36,600 --> 01:21:39,839
Speaker 5: we had about technology, where it's like your frame of reference.

1468
01:21:40,720 --> 01:21:44,559
Speaker 5: If something happens fifty years ago, you're like, man, obviously

1469
01:21:44,640 --> 01:21:47,680
Speaker 5: they made the right cross, they made the right call then,

1470
01:21:47,880 --> 01:21:52,040
Speaker 5: and now there's a similar question. And it's not all

1471
01:21:52,080 --> 01:21:55,840
Speaker 5: the same. But in hindsight, some of these things look

1472
01:21:55,920 --> 01:21:59,000
Speaker 5: like common sense, but in the moment they're highly controversial.

1473
01:21:59,200 --> 01:22:03,000
Speaker 2: Yep. And I could see like who know, Like geopolitically,

1474
01:22:04,439 --> 01:22:10,000
Speaker 2: you know, who knows? Who knows in the future what

1475
01:22:10,240 --> 01:22:12,479
Speaker 2: situation the nation might be in. And there could be

1476
01:22:12,479 --> 01:22:15,400
Speaker 2: a situation in the future where the nation's in a

1477
01:22:15,479 --> 01:22:18,160
Speaker 2: situation where we revisit it and we're like, no, for

1478
01:22:18,240 --> 01:22:22,000
Speaker 2: real now, Like in terms of like real right now

1479
01:22:22,240 --> 01:22:25,320
Speaker 2: here and now national security issues, we have a serious problem.

1480
01:22:25,360 --> 01:22:27,760
Speaker 2: I think it's gonna be different conversation. Well, but the

1481
01:22:27,800 --> 01:22:28,799
Speaker 2: shit ain't going anywhere.

1482
01:22:28,880 --> 01:22:31,800
Speaker 6: That goes back to the idea that that wilderness is

1483
01:22:32,200 --> 01:22:36,240
Speaker 6: a luxury of the culture that has has a lot

1484
01:22:36,280 --> 01:22:38,400
Speaker 6: of strength and monetary value. There's a lot of in

1485
01:22:38,439 --> 01:22:41,639
Speaker 6: the wilderness argument about you know, part of the reason

1486
01:22:41,720 --> 01:22:45,000
Speaker 6: we've been able to preserve so much wilderness is because

1487
01:22:45,080 --> 01:22:48,320
Speaker 6: we didn't have to exploit every square inch of ground.

1488
01:22:48,680 --> 01:22:48,840
Speaker 2: You know.

1489
01:22:48,840 --> 01:22:51,639
Speaker 6: There's some great quotes from some guys you know about like, yeah,

1490
01:22:51,920 --> 01:22:54,559
Speaker 6: we're a great nation because we didn't have to take

1491
01:22:54,600 --> 01:22:58,479
Speaker 6: every last stick of lumber and every last mineral out

1492
01:22:58,479 --> 01:22:58,960
Speaker 6: of the ground.

1493
01:22:59,479 --> 01:22:59,679
Speaker 2: Yeah.

1494
01:22:59,680 --> 01:23:01,519
Speaker 6: There, it could be different. I mean if we were

1495
01:23:02,040 --> 01:23:06,479
Speaker 6: the if the if the socioeconomic things flipped one hundred

1496
01:23:06,560 --> 01:23:09,040
Speaker 6: years from now, seventy five years from now, fifteen years

1497
01:23:09,080 --> 01:23:11,040
Speaker 6: from now, it's like.

1498
01:23:10,720 --> 01:23:15,040
Speaker 2: We're in some like prolonged global war or some prolonged

1499
01:23:15,040 --> 01:23:17,479
Speaker 2: global standoff. We might look and be like, you know what,

1500
01:23:18,800 --> 01:23:21,479
Speaker 2: maybe the maybe we should drill the NPR, maybe we

1501
01:23:21,520 --> 01:23:24,160
Speaker 2: should mine the Ambler Mining District, Maybe we need to

1502
01:23:24,200 --> 01:23:24,880
Speaker 2: move into the.

1503
01:23:27,400 --> 01:23:27,800
Speaker 11: And war.

1504
01:23:28,479 --> 01:23:31,839
Speaker 2: But like right now, look at I don't.

1505
01:23:33,960 --> 01:23:38,840
Speaker 3: In times they're great. In times of great conflict and necessity,

1506
01:23:39,439 --> 01:23:43,160
Speaker 3: Congress can make a decision, right like we have that

1507
01:23:43,240 --> 01:23:46,200
Speaker 3: in our history. That's an established ability that we have,

1508
01:23:46,560 --> 01:23:51,680
Speaker 3: right Like Japanese bomb Pearl Harbor. Yep, we made a

1509
01:23:51,720 --> 01:23:54,160
Speaker 3: decision as a nation real fast.

1510
01:23:54,240 --> 01:23:57,800
Speaker 2: No one could buy silk anymore. All the silk goes

1511
01:23:57,840 --> 01:23:58,520
Speaker 2: to parachutes.

1512
01:23:58,840 --> 01:23:59,040
Speaker 3: Yeah.

1513
01:23:59,120 --> 01:24:00,679
Speaker 2: Now, if you've done that before or the war, people

1514
01:24:00,760 --> 01:24:05,800
Speaker 2: been like what or like there's food like whatever, like

1515
01:24:05,840 --> 01:24:09,439
Speaker 2: in extraordinary circumstances. So I don't really buy the I

1516
01:24:09,479 --> 01:24:11,920
Speaker 2: don't like, I don't buy that argument right off the

1517
01:24:11,960 --> 01:24:14,760
Speaker 2: bat because I think that the whole conversation would change

1518
01:24:14,760 --> 01:24:17,360
Speaker 2: in a crisis. It's not a crisis right now. Yeah,

1519
01:24:17,400 --> 01:24:19,799
Speaker 2: we can, we can still afford to have wild places.

1520
01:24:20,000 --> 01:24:23,080
Speaker 7: Yeah, how much would you care about this topic if

1521
01:24:23,120 --> 01:24:25,040
Speaker 7: it was like in Canada or Russia?

1522
01:24:26,040 --> 01:24:29,479
Speaker 2: Very little? Well, it'd be less because I'd feel like

1523
01:24:29,560 --> 01:24:35,040
Speaker 2: it was I would care, but it.

1524
01:24:37,200 --> 01:24:38,679
Speaker 3: But it's a little bit not your business.

1525
01:24:38,760 --> 01:24:40,360
Speaker 2: It would be not even not my business. I wouldn't

1526
01:24:40,360 --> 01:24:43,000
Speaker 2: have like a I wouldn't feel that I had a

1527
01:24:43,080 --> 01:24:44,800
Speaker 2: voice that need to be heard. But when it comes

1528
01:24:44,800 --> 01:24:49,479
Speaker 2: to federal lands, it's it's as a United States citizen,

1529
01:24:49,560 --> 01:24:53,080
Speaker 2: you have a vested interest, so a dog, you have

1530
01:24:53,160 --> 01:24:56,800
Speaker 2: a right to speak about it. I mean do I

1531
01:24:56,840 --> 01:25:00,560
Speaker 2: am I bummed that the Amazon has disappear at the

1532
01:25:00,680 --> 01:25:02,519
Speaker 2: rate that it is. Of course, do I feel like

1533
01:25:02,560 --> 01:25:05,720
Speaker 2: I have a move to make not as readily as

1534
01:25:05,760 --> 01:25:10,120
Speaker 2: I have a move to make there. Yeah, I'm like

1535
01:25:10,160 --> 01:25:12,800
Speaker 2: a I don't know, I'm like an environmental nationalist.

1536
01:25:13,200 --> 01:25:16,000
Speaker 3: Right, tell people not to buy Argentine beef by made

1537
01:25:16,000 --> 01:25:20,200
Speaker 3: in America beef, and you can help the Amazon that's about.

1538
01:25:20,040 --> 01:25:24,120
Speaker 5: And help the American rancher that's right, win win, yep.

1539
01:25:25,600 --> 01:25:28,799
Speaker 3: But yeah, I mean it is like, I love Canada,

1540
01:25:28,920 --> 01:25:34,640
Speaker 3: love my time spent there. They have some amazing wildlife

1541
01:25:35,160 --> 01:25:38,920
Speaker 3: opportunities and programs, and I would be able to speak

1542
01:25:38,960 --> 01:25:41,720
Speaker 3: on the fact that, like, boy, I hope they don't

1543
01:25:41,760 --> 01:25:48,920
Speaker 3: mess this up just just because of whatever policy, But

1544
01:25:48,960 --> 01:25:51,240
Speaker 3: then I would only be able to fall back on

1545
01:25:51,280 --> 01:25:54,280
Speaker 3: the fact like I don't know the whole picture because

1546
01:25:54,320 --> 01:25:58,439
Speaker 3: I'm not as invested, but doesn't seem like a good idea.

1547
01:25:58,640 --> 01:26:02,400
Speaker 3: Whereas with this particular thing, I'm like, oh my god,

1548
01:26:02,479 --> 01:26:08,760
Speaker 3: migratory birds, fish, it's a porkypine, porcupine, caribou herd.

1549
01:26:08,840 --> 01:26:12,960
Speaker 6: Right on the other Yeah, no, it's western, it's central

1550
01:26:13,040 --> 01:26:13,559
Speaker 6: or western.

1551
01:26:15,880 --> 01:26:18,439
Speaker 3: But you know, like we know these Caribou herds are

1552
01:26:18,439 --> 01:26:19,960
Speaker 3: in decline. We know that they.

1553
01:26:19,760 --> 01:26:21,200
Speaker 2: Add porcupine to the east.

1554
01:26:21,560 --> 01:26:26,200
Speaker 3: Do not deal with change well, like to the point

1555
01:26:26,240 --> 01:26:29,360
Speaker 3: where it's such a hard concept for people to grasp

1556
01:26:29,479 --> 01:26:31,600
Speaker 3: when you talk about it, like, well, what do you

1557
01:26:31,760 --> 01:26:35,519
Speaker 3: mean they just can't walk over a road? I'm like,

1558
01:26:35,560 --> 01:26:41,000
Speaker 3: well they can, but to them, like you know, it's

1559
01:26:41,080 --> 01:26:44,400
Speaker 3: like it's a bizarre concept. But yeah, I think like

1560
01:26:44,600 --> 01:26:46,680
Speaker 3: we're all very much in a position to weigh in

1561
01:26:46,720 --> 01:26:49,479
Speaker 3: and should weigh in on these things if they're important

1562
01:26:49,520 --> 01:26:49,800
Speaker 3: to us.

1563
01:26:51,040 --> 01:26:55,400
Speaker 2: I'll tell you, Seth Canton's real happy right now. All right,

1564
01:26:55,439 --> 01:26:58,479
Speaker 2: we're gonna wrap up. Thanks y'all.

1565
01:26:58,760 --> 01:27:02,599
Speaker 6: Hey, Steve, I've got one thing. I'm gonna go back

1566
01:27:02,640 --> 01:27:05,800
Speaker 6: to the beginning. May seem a little out of place.

1567
01:27:06,640 --> 01:27:09,480
Speaker 6: I think you need to talk about your old girlfriends.

1568
01:27:09,800 --> 01:27:15,920
Speaker 6: Less I didn't say, what are you talking about?

1569
01:27:16,240 --> 01:27:16,280
Speaker 7: You?

1570
01:27:18,439 --> 01:27:20,000
Speaker 3: You're gonna hate the next podcast.

1571
01:27:22,280 --> 01:27:25,960
Speaker 6: The first you're opening line on this podcast, you were

1572
01:27:25,960 --> 01:27:29,240
Speaker 6: talking about some old girlfriend you had, And I'm just saying,

1573
01:27:29,280 --> 01:27:34,360
Speaker 6: I think you need to dial a quarter century ago.

1574
01:27:34,520 --> 01:27:38,000
Speaker 6: I think you need to before. I think you need

1575
01:27:38,000 --> 01:27:40,840
Speaker 6: to let the past die. We all think it, we

1576
01:27:40,960 --> 01:27:43,720
Speaker 6: all know it. We love you. You need to You need

1577
01:27:43,720 --> 01:27:49,120
Speaker 6: to do all that back a quarter century ago, long

1578
01:27:49,200 --> 01:27:53,439
Speaker 6: before I knew my wife the one to hear about this.

1579
01:27:53,479 --> 01:28:03,200
Speaker 2: Though she's grown up, she's not, She's a woman. Let's

1580
01:28:03,240 --> 01:28:04,200
Speaker 2: let's ask her together.

1581
01:28:04,920 --> 01:28:09,120
Speaker 7: Okay, I think i'd like you to talk about him more. Yeah,

1582
01:28:09,160 --> 01:28:11,600
Speaker 7: I have to, like, I'd like to further the conversation

1583
01:28:11,680 --> 01:28:12,639
Speaker 7: around and I don't.

1584
01:28:14,000 --> 01:28:14,920
Speaker 2: I think i'd like more.

1585
01:28:15,000 --> 01:28:15,960
Speaker 6: Do you guys agree?

1586
01:28:16,000 --> 01:28:16,160
Speaker 10: Though?

1587
01:28:16,960 --> 01:28:19,880
Speaker 6: Come on, col I disagree?

1588
01:28:21,360 --> 01:28:24,559
Speaker 2: Is that me and my wife that like we're comfortable

1589
01:28:24,560 --> 01:28:27,360
Speaker 2: with the fact that we were alive a long time

1590
01:28:27,600 --> 01:28:28,599
Speaker 2: before we met each other.

1591
01:28:29,360 --> 01:28:31,599
Speaker 7: Okay, can I ask you an ex girlfriend questions?

1592
01:28:34,840 --> 01:28:38,760
Speaker 2: Like what you do? He just did the barber.

1593
01:28:41,280 --> 01:28:45,080
Speaker 7: You once talked about how somehow we were talking about

1594
01:28:45,120 --> 01:28:48,880
Speaker 7: corn smut on trivia. Well, let me tell the story,

1595
01:28:48,920 --> 01:28:51,559
Speaker 7: and you know you're okay? An ex girlfriend you.

1596
01:28:51,520 --> 01:28:53,559
Speaker 3: Said's got to turn their dose.

1597
01:28:53,640 --> 01:28:57,640
Speaker 2: I have a lot of tech problems. It's like, I

1598
01:28:57,680 --> 01:29:01,919
Speaker 2: can't begin to tell you.

1599
01:28:58,600 --> 01:29:04,479
Speaker 7: That an ex girlfriend once threw your keys into a cornfield. Yes,

1600
01:29:04,760 --> 01:29:07,719
Speaker 7: and what was the argument? That's what that's the detail.

1601
01:29:07,760 --> 01:29:09,200
Speaker 7: I was really I've been hung up on that for

1602
01:29:09,240 --> 01:29:09,719
Speaker 7: a year.

1603
01:29:10,120 --> 01:29:12,679
Speaker 2: I have no recollection, but it was on Katie Road,

1604
01:29:14,960 --> 01:29:19,000
Speaker 2: not far down from Ronnie Bab's house. Uh, and just

1605
01:29:19,040 --> 01:29:23,040
Speaker 2: took my car never found him. This is evil and

1606
01:29:23,320 --> 01:29:25,400
Speaker 2: bombed him out into a corn field. That's a good

1607
01:29:25,439 --> 01:29:30,040
Speaker 2: trip to walk to walk a few miles. Did like

1608
01:29:30,080 --> 01:29:30,759
Speaker 2: did you become?

1609
01:29:31,120 --> 01:29:32,719
Speaker 7: Was she an ex girlfriend at that moment?

1610
01:29:33,200 --> 01:29:35,360
Speaker 2: I don't even remember, dude, I don't know. It was

1611
01:29:35,400 --> 01:29:37,840
Speaker 2: like something just got mad about something. I was like,

1612
01:29:37,880 --> 01:29:39,439
Speaker 2: I don't think she really thought of how hard it

1613
01:29:39,520 --> 01:29:44,360
Speaker 2: be to find him out there a standing cornfield.

1614
01:29:43,800 --> 01:29:49,320
Speaker 7: And walked you walked upon some corns.

1615
01:29:48,360 --> 01:29:51,200
Speaker 3: And I don't take it can be confused with like

1616
01:29:51,400 --> 01:29:56,519
Speaker 3: wistfully looking back on a time spent in another relationship.

1617
01:29:56,120 --> 01:29:58,519
Speaker 2: Clay, I'll tell you I've taken it makes sense every

1618
01:29:58,520 --> 01:30:00,559
Speaker 2: time I give my wife a tour where I grew

1619
01:30:00,640 --> 01:30:04,439
Speaker 2: up and she's sick. She's like, how could someone as

1620
01:30:04,479 --> 01:30:07,200
Speaker 2: old as you be so surprised that things have changed

1621
01:30:07,240 --> 01:30:12,559
Speaker 2: since you were a little kid. Usually this is part

1622
01:30:12,600 --> 01:30:23,559
Speaker 2: of my tour tour. I'm like, somewhere out there, seventy chevy, I'll.

1623
01:30:23,439 --> 01:30:25,080
Speaker 6: Be having a conversation with her about it.

1624
01:30:25,280 --> 01:30:27,760
Speaker 2: Yeah, okay with this, all right? Thanks so.

1625
01:30:45,680 --> 01:30:45,760
Speaker 10: Yo.

1626
01:30:49,760 --> 01:30:51,519
Speaker 8: I'm a backwoods game for real.

1627
01:30:51,600 --> 01:30:51,800
Speaker 2: Job.

1628
01:30:52,160 --> 01:30:55,360
Speaker 15: He stay sharp because I know murderers looking behind them.

1629
01:30:55,479 --> 01:30:57,559
Speaker 8: Tray bus and caps and me both booths.

1630
01:30:57,560 --> 01:31:00,599
Speaker 15: Couldn't get a barn with my pears like a gold

1631
01:31:00,680 --> 01:31:05,080
Speaker 15: chant steffany cots like there's cocaine, got a sexy ass

1632
01:31:05,120 --> 01:31:09,000
Speaker 15: water on my neck, got six inchers and don't disrespect.

1633
01:31:09,080 --> 01:31:12,599
Speaker 16: Ain't high in my bost all night spitting that hands,

1634
01:31:12,840 --> 01:31:15,240
Speaker 16: getting in fights camp when we went to white.

1635
01:31:15,040 --> 01:31:16,639
Speaker 8: Cast calls real brun.

1636
01:31:16,720 --> 01:31:23,320
Speaker 16: It's like truck and needs It's like base balls, Scot.

1637
01:31:47,360 --> 01:31:50,559
Speaker 16: I'm a bus tom, badass, certified, moss back Bluna, tic

1638
01:31:50,680 --> 01:31:53,320
Speaker 16: long beard, thunder chicken, himmer head king because I got

1639
01:31:53,320 --> 01:31:56,640
Speaker 16: a white crown watching homies getting murdered dead on the

1640
01:31:56,640 --> 01:31:58,800
Speaker 16: ground at scared of a now more crow.

1641
01:31:59,400 --> 01:32:02,920
Speaker 8: Go wait, I'm gonna shock bumble bro walk into the party.

1642
01:32:03,000 --> 01:32:06,160
Speaker 8: Four strut from my studs, still the brood knocking in

1643
01:32:06,160 --> 01:32:06,519
Speaker 8: the club.

1644
01:32:06,640 --> 01:32:09,040
Speaker 15: Dot Beef with the homie name Jake for shore so

1645
01:32:09,160 --> 01:32:10,160
Speaker 15: as Jenny took her home.

1646
01:32:10,479 --> 01:32:12,960
Speaker 8: Then I made a purr, don't talk for read, you

1647
01:32:13,160 --> 01:32:15,519
Speaker 8: care for me? Came a wearing airshres. I makes you

1648
01:32:15,560 --> 01:32:16,360
Speaker 8: see go damage you.

1649
01:32:19,760 --> 01:32:24,680
Speaker 11: Ll forss.

1650
01:32:38,400 --> 01:32:42,439
Speaker 8: Go shout out to my marry up with the four lawsuits, shoo.

1651
01:32:43,360 --> 01:32:49,160
Speaker 14: My rods down in a boom, A fiolas over in

1652
01:32:49,240 --> 01:32:55,920
Speaker 14: my head, Boom to my eastern and then long boom

1653
01:32:56,920 --> 01:32:58,879
Speaker 14: course three o' runner, the light.

1654
01:33:00,240 --> 01:33:04,000
Speaker 16: Stop and I stopped in the border hobies the also

1655
01:33:04,160 --> 01:33:07,120
Speaker 16: ladies boom along as job.

1656
01:33:08,080 --> 01:33:12,960
Speaker 8: You want your job to stop stop by amut