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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.

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Speaker 2: Listeningcast, you can't predict anything.

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Speaker 1: The Meat Eater Podcast is brought to you by First Light.

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Speaker 1: Whether you're checking trail cams, hanging deer stands, or scouting

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Speaker 1: for el First Light has performance apparel to support every

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Speaker 1: hunter in every environment. Check it out at first light

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Speaker 1: dot com. F I R S T L I T

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Speaker 1: E dot com. I'm sitting in Phil's bed.

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Speaker 3: How's it feel?

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Speaker 1: I'm right where I'm right where Missus Taylor sits.

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Speaker 3: Huh, that's interesting. That's the first place your mind went.

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Speaker 1: Well, Phil, I asked Phil, what side of the Betty

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Speaker 1: sleeps on? Sue's on the same side of the bed

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Speaker 1: I sleep on. That's right, So I'm over in Missus

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Speaker 1: Taylor's position in Phil's bed.

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Speaker 2: You know what I read once is that, uh, you

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Speaker 2: like there's like protector instinct which is often like associated

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Speaker 2: with males that they sleep closest to the door to

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Speaker 2: suss out any threats coming in.

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Speaker 1: Not me neither.

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Speaker 2: Well, it depends what door, which door threats coming in?

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Speaker 1: Well, I guess I'm closer to Yeah, you're right, because

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Speaker 1: I'm closer to the to the outdoor that goes out

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Speaker 1: to our outside. So yeah, I'm there to absorb any threat. Yeah,

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Speaker 1: and I and I got the Missus closer to the

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Speaker 1: escape and to the inside of the house. So you're right,

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Speaker 1: that's really good.

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Speaker 2: You think that's like what happened when you get.

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Speaker 1: Never consciously thought about that. No, but if we were,

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Speaker 1: if I was with my wife in this hotel, you'd

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Speaker 1: sleep on that side. I'd have missus well, you know

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Speaker 1: what what should be Missus Vanella. I'd have Missus Vanilla

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Speaker 1: right over here where Miss Taylor's spot is, and that

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Speaker 1: would be over there by the door, ready to duet.

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Speaker 1: Some drunk like chili comes in or something. Yeah, his ass. Yeah,

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Speaker 1: we're out on Live too right now. And Spencer took

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Speaker 1: advantage of the of the morning and he went out

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Speaker 1: rock counting. Spencer, can you share with people about your

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Speaker 1: special rock?

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Speaker 2: Yeah, it's a piece of wonderstone. It's only found in

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Speaker 2: a few states and then a handful of other places

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Speaker 2: in the world. It's just very colorful, lots of stripes on.

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Speaker 1: It, beautiful purples and pinks.

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Speaker 2: Yeah, this came from a place that has rocks of

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Speaker 2: all colors, greens, yellows, oranges, reds.

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Speaker 1: What caused the coloration? Do we know?

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Speaker 2: Almost? Like any cool rock that you find, you can

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Speaker 2: assign it to, like volcanic activity and water. The specifics

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Speaker 2: of it, I can't tell you, but like all the

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Speaker 2: cool rocks, volcanoes and water.

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Speaker 1: So much money worth of cool rocks you think you have? Now?

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Speaker 2: I don't have anything that's like crazy valuable. Maybe if

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Speaker 2: you were like interested in landscaping something, you could come

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Speaker 2: into my garage and you'd pay me by the pound.

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Speaker 1: But what's this worth?

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Speaker 2: Nothing? Nothing, It's it's not worth enough for me, maybe

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Speaker 2: like a dollar, right, but to me that's worth ten dollars.

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Speaker 1: Sure, it's worth about six to me, okay.

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Speaker 2: And I don't have any rocks from Nevada, so then

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Speaker 2: it's yeah, you know, it's like a twenty dollars rock.

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Speaker 1: Now, Yeah, I got you. I found myself a minute

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Speaker 1: ago in the awkward position of needing to explain to

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Speaker 1: Spencer that there's only three kinds of rocks which you

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Speaker 1: think of rock Hound would have know this? Yeah? Did

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Speaker 1: you think it was? I did?

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Speaker 2: Yeah?

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Speaker 1: You did? You? Did you feel awkward? While I was?

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Speaker 1: It was awkward?

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Speaker 4: I was trying to give him the second one without

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Speaker 4: saying the whole word I was going to.

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Speaker 1: Here is I was talking about how he's like such

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Speaker 1: a expert rock hounder and like real geologists and everything,

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Speaker 1: and then winds up you know, yeah.

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Speaker 4: You know my favorite, my favorite subject, Like if you're

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Speaker 4: riding down the road with me in Arkansas, I talk

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Speaker 4: about the orogeny of the Ozark and Washington Mountains. I've

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Speaker 4: done it on this podcast. I think the first time

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Speaker 4: was on Meeting your podcast.

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Speaker 1: I talked about it.

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Speaker 4: The word orogeny means mountain building.

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Speaker 1: Yeah, it seems like it means something totally different.

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Speaker 4: Yeah, it kind of throws people off, but it's like

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Speaker 4: the genesis of mountains.

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Speaker 1: Like I wouldn't use that word and feels bad. It's risky.

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Speaker 1: Clay can you can you can? You? You've been mentioned

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Speaker 1: lately you're hot on getting a new pet.

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Speaker 4: Yeah, man, I've I've always loved timber, rattlesnakes. My dad

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Speaker 4: planted that love in me from a kid. If we

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Speaker 4: found a rattlesnake while out in the woods, it was

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Speaker 4: a big day and we didn't kill them.

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Speaker 1: We just liked them.

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Speaker 4: And recently on the bear grease podcast. We did a

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Speaker 4: we did a series, or we did apie podcast called

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Speaker 4: the Cobra Scare. So we were talking a lot about

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Speaker 4: cobras and venomous snakes. And on the last week, I

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Speaker 4: haven't listened to that yet, but I've been I was.

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Speaker 4: I'm aware of but I haven't listened. Yeah, why is it

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Speaker 4: about cobra? You know what I mean, Cobra's from another content? Well,

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Speaker 4: is it because people refer to timber ratlers as cobra?

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Speaker 1: It hasn't.

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Speaker 4: It has nothing to do with timber ratlers. I'll give

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Speaker 4: you the elevator Cobra's Scare podcast is about. It was

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Speaker 4: the Great Cobra Scare of nineteen fifty three in the

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Speaker 4: town of Springfield, Missouri, oh basically, mysteriously around on August fifteenth,

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Speaker 4: nineteen fifty three, an Indian monocled cobra was killed in

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Speaker 4: downtown Springfield and basically, over the course of six weeks

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Speaker 4: they killed twelve Indian cobras.

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Speaker 1: And it became this big I keep seeing you have

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Speaker 1: all these pictures of people's snakes, and I wasn't putting

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Speaker 1: it together.

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Speaker 4: Well, it just yeah, where did the come from? Well,

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Speaker 4: I mean, should should I tell I think to the podcast.

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Speaker 1: It was a It was.

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Speaker 4: A mystery for thirty five years until nineteen eighty eight.

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Speaker 4: Li lies, venom and deception.

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Speaker 2: That's good fodder for Baker.

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Speaker 4: Did anybody get bit? Nobody got bit? But there's still there.

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Speaker 4: There's one surviving cobra that's pickled in a jar at

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Speaker 4: Drury University, which happened to also be where Bob Barker,

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Speaker 4: the Price is Riot, went to college. And I went

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Speaker 4: to Drew University and saw the cobra and the jar.

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Speaker 4: It's been there for seventy years. Made national news, it

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Speaker 4: was in Life magazine. It was called the Great Cobra

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Speaker 4: Scare of nineteen fifty three.

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Speaker 1: Bob Barker was a big animal rights actor.

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Speaker 4: Yeah I know, yeah, and and he was.

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Speaker 1: He was the one that was always promoting the sexual

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Speaker 1: mutilation of pets.

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Speaker 2: And that's how I would have ended trivia if he

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Speaker 2: hadn't already taken that one. Otherwise I'd say, Spae and

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Speaker 2: Newdy your pets and said him say, the only game

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Speaker 2: show where conservation always wins.

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Speaker 1: So I took be a mean to catch that. I

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Speaker 1: got you.

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Speaker 4: So so we just got We just got talking about

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Speaker 4: cobra's or talking about venom of snakes and how is

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Speaker 4: it a two parter? It's one partner man, just knock

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Speaker 4: it out of the park and one. But what's cool

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Speaker 4: is I interviewed my neighbor who happens to have been

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Speaker 4: bit by a Egyptian banded cobra, and I interviewed him

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Speaker 4: about being what it's like to be bit by cobra,

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Speaker 4: which is pretty interesting, And yeah, it's a very fun episode.

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Speaker 2: How do you get bit?

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Speaker 4: It was his it was his pet and he he

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Speaker 4: was reaching in cleaning the cage. He's been bit over

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Speaker 4: twenty Venomas snakes and he's eighty two years old, Like.

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Speaker 1: Oh man, at this point, he's got to be just

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Speaker 1: kind of asking for it.

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Speaker 4: Well, this was all in his his career was basically

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Speaker 4: a side show at carnivals and he was bit bo

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Speaker 4: over twenty Venomas snakes. He only took an a venom

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Speaker 4: two times, got it.

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Speaker 1: So he's he's he never tried to get bit, but

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Speaker 1: just that much exposure. Yeah, he just got bit. Years ago,

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Speaker 1: we had on the show the entomologist Justin Schmidt, and

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Speaker 1: he had subjected himself to being bit by all the

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Speaker 1: insects bugs and you know everything. And he had developed

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Speaker 1: this Schmidt Pain Index MM to scale the severity of insects, stings, bites,

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Speaker 1: and stains, you know, and he had put the bullet

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Speaker 1: ant at the highest. This individual you're talking about would

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Speaker 1: be well suited to develop a sort of yeah scale

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Speaker 1: he when you're around, to rank the experiences when you're

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Speaker 1: around mister Fred, like he he kind of feels like

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Speaker 1: he's an amateur. And he refers to these guys that

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Speaker 1: have been bitten like hundreds of times, like they're his heroes.

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Speaker 1: Like he's like, do you know Bill Hass the Florida

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Speaker 1: sar Entropia. There's a word for a place where there's serpents.

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Speaker 1: And I was like, no, I never heard of serpentarium. Serpentarium.

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Speaker 4: He's like, man, he's been bit one hundred and fifty

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Speaker 4: times by Cobra's even got bit by a king kobra.

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Speaker 4: Like he just kind of nerves out about people that

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Speaker 4: have gotten bit a bunch, but he he has these

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Speaker 4: wild stories. Man, he would get bit. And he he's

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Speaker 4: kind of like an anti authoritarian guy, like he really

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Speaker 4: doesn't want to submit to any kind of any any

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Speaker 4: kind of like man made authority that this kind of

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Speaker 4: way it feels.

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Speaker 1: And so he would go.

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Speaker 4: To a hospital and sit in the waiting room after

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Speaker 4: he got bit, but not check himself in just in

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Speaker 4: case he did start to close.

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Speaker 1: Yeah, And so he only.

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Speaker 4: Got bit, only got bit twice, all right, I mean

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Speaker 4: he only took anavenum twice. But the story is not

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Speaker 4: about mister Fred. He was just my cobra expert. And

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Speaker 4: then the whole story was about the cobra scare. I

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Speaker 4: interviewed a guy that was a kid when it happened,

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Speaker 4: and I interviewed a guy that was that has a

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Speaker 4: brewery in Springfield right now where they have a beer

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Speaker 4: called Cobra Scare. So that so Springfield's kind of latching

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Speaker 4: onto this identity cobra scare. So that in turn got

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Speaker 4: me just talking about venomus snakes. And had a guy

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Speaker 4: from brad Birchfield, a guy I know from Arkansas that's

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Speaker 4: a big He calls himself a herpa culturalist. He's not

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Speaker 4: a herpetologist. He breeds snakes, doesn't breed him. He just

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Speaker 4: has them just he's a snake expert. But he's not

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Speaker 4: an academic and he doesn't do it for a living. Yeah,

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Speaker 4: and he brought a big timber rattler, a big diamondback,

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Speaker 4: and a big bucket.

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Speaker 1: Yeah, I had him in five gallon buckets. Man, there's

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Speaker 1: got no worse smell. It's a sealed up five gallon bucket.

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Speaker 1: When you open it up.

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Speaker 4: And there he is, it's they have they have a

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Speaker 4: but I mean he does keep them in those buckets.

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Speaker 4: Those are just the his totes. He interesting story. You

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Speaker 4: like this, the diamondback that he has, he he it's

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Speaker 4: it's legal to take him out of the wild. He

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Speaker 4: took this one out of the wild fifteen years ago

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Speaker 4: and it was already an adult, big snake.

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Speaker 1: He fed it like lab rats, or tried to.

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Speaker 4: Feed it lab rats for like six months after he

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Speaker 4: caught it, and it wouldn't eat like wild game. He finally,

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Speaker 4: kind of in desperation, threw a dead gray squirrel in

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Speaker 4: there spam.

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Speaker 1: It only eats gray squirrels.

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Speaker 4: So I want to get a timber ratley all that

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Speaker 4: to say, I think it would be a very very

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Speaker 4: nice addition to the office of a big, beautiful terrarium

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Speaker 4: with a big, giant timber rattler.

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Speaker 1: Just bored out of his mind.

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Speaker 4: Well, now that that's an interesting thing to say. They're

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Speaker 4: sitting wait predators. Man, A rattlesnake would love to do

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Speaker 4: nothing more than just to sit there his whole life

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Speaker 4: and have squirrels running raped by him all day long.

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Speaker 2: Clay said, the last time that snake ate was in October.

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Speaker 1: Yeah, huh.

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Speaker 4: They very good, good pets, like feed him just I

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Speaker 4: mean he tries. He offers him food all the time,

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Speaker 4: but most of the time they don't even eat it.

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Speaker 2: Have you informed your wife of this plan?

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Speaker 4: We can't tell her. Yeah, okay, we got to keep

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Speaker 4: this on the d L.

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Speaker 1: She don't want to know about it. Yeah, I could

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Speaker 1: see that. One of the best books about the Vietnam War,

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Speaker 1: it's called Dispatches. Have you ever seen Stanley Kubrick's uh,

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Speaker 1: Full Metal Jacket? Full Metal Jacket?

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Speaker 5: No.

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Speaker 4: Steve is always very disappointed in me anytime he says,

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Speaker 4: never seen Full Metal Jacket.

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Speaker 1: I never have. I never have.

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Speaker 2: I haven't either.

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Speaker 1: I've seen like five movies in my life. I don't

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Speaker 1: really understand. We had the same because that's what made

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Speaker 1: that guy's whole yeah career. Yeah, anyways, if you were

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Speaker 1: to watch Full Metal Jacket, most of the dialogue and

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Speaker 1: Full Metal Jacket, like how do you shoot the women

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Speaker 1: and children? You just don't lead him as much. All

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Speaker 1: the dialogue from Full Metal Jacket is from Dispatches, and

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Speaker 1: Dispatches was written by a guy named Michael hare H

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Speaker 1: E r R. He was like a college kid from

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Speaker 1: Berkeley and during the Vietnam War, Rolling I think it

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Speaker 1: was Rolling Stone or Esquire, I can't remember which. Spence

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Speaker 1: Pob'll find out in Hurry sent him to cover the

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Speaker 1: Vietnam War. And most people that would go cover the

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Speaker 1: Vietnam War would go and they'd want to talk to

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Speaker 1: General Westmoreland and they'd talk about the strategy, and they'd

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Speaker 1: talk about this many kia and you know this many

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Speaker 1: pounds of munitions and right. But Michael Harritis went and

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Speaker 1: hung out with the grunts and it kind of killed him.

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Speaker 1: Like his book that he wrote about is called Dispatches.

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Speaker 1: I mean it's like it's a masterpiece of war reporting.

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Speaker 1: But he never really he didn't really do anything after that.

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Speaker 1: In the book Dispatches, he even talks about coming home

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Speaker 1: and having a hard time getting He has a very

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Speaker 1: hard time reintegrating into society. And he came from like

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Speaker 1: very left wing circles and when he came home, people

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Speaker 1: would want would expect him to talk about how how

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Speaker 1: bad it was, but he would he was hung up

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Speaker 1: on how beautiful it was, like it kind of ruined

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Speaker 1: him anyways. In this book, he describes an odor as

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Speaker 1: smelling like snakes left too long. I'm in a jar

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Speaker 1: and that's always stuck with me. Hm hmmm. So what

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Speaker 1: that's when your buddy pulled that snake out of that bucket.

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Speaker 1: It made me think of dispatches. Mhm.

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Speaker 2: Esquire. This conversation with Steve has now become so frequent

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Speaker 2: about like have you seen this thing that he's now

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Speaker 2: had to specifically categorize when it's a recommendation versus just

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Speaker 2: like have you seen this thing?

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Speaker 1: Yeah?

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Speaker 2: Yeah, because he was being very clear, Yes you know

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Speaker 2: this isn't a recommendation, but.

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Speaker 1: Uh, how will you find your timber ratler?

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Speaker 4: Well, so the legality of it is that there's I mean,

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Speaker 4: first of all, I I love rattlesnakes.

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Speaker 1: I don't care.

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Speaker 4: I have not recreationally killed a snake in decades. If

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Speaker 4: I find one, I don't kill it. I don't have

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Speaker 4: you pegged as a snake.

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Speaker 1: Heade, Well, I just want to say that because it.

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Speaker 4: I talked to my buddy Brad Birchfield, who loves snakes

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Speaker 4: more than anybody I've ever been around, and I said,

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Speaker 4: what would the temperature be of the planet for me

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Speaker 4: to take a timber rattler out of the wild and

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Speaker 4: let it be my snake? I said, would you feel

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Speaker 4: bad if I did that? And he was like no,

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Speaker 4: he said, he said, you know people, you know, there's

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Speaker 4: going to be some guys on sure that are going

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Speaker 4: to give you grief about it. But he said, timber

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Speaker 4: rattlers in our region are doing well. They're everywhere there,

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Speaker 4: So I would that's what would make it for me.

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Speaker 4: Like I don't want to order one out of a

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Speaker 4: magazine you want to, I want to. I want to

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Speaker 4: take it out of the wild. I do, and and

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Speaker 4: I have a pretty good I have a philosophy that's

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Speaker 4: based upon a book I read called evidence based Horsemanship

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Speaker 4: about how we anthropomorphize all almost all animals, and like

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Speaker 4: you would think that that a life of confinement for

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Speaker 4: a snake would somehow be negative for the snake or

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Speaker 4: affect tis psychology, and.

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Speaker 1: It's just that's just hogwash, Like that snake will have the.

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Speaker 4: Best life in the world. But minus you're talking right now.

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Speaker 4: You're talking right now, minus breeding. What you're saying right

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Speaker 4: now is as much nonsense as what I'm saying. This

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Speaker 4: is unknowable.

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Speaker 1: Well, there are people trying to find a way to

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Speaker 1: measure animal happiness.

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Speaker 4: Dude, you red space horsemanship? Is this.

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Speaker 1: You horse? And then act like dismayed that I haven't Yeah, yeah,

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Speaker 1: well no, I would never come to you dismayed that

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Speaker 1: you haven't read a specialty text when I'm talking about

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Speaker 1: stuff that's part of the American cannon. Yeah, Like I'm

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Speaker 1: not mad. I'm not mad that you didn't read Dispatches.

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Speaker 1: I'm bewildered that you haven't seen full metal Jacket. Yeah,

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Speaker 1: I'm bewildered. It's just like the American cannon. Like, you're

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Speaker 1: not going to understand America, right, I can't wait to

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Speaker 1: understand America. So well, it's a hard job, you know,

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Speaker 1: understanding America and watching the Italian Westerns.

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Speaker 4: The whole premise of Evidence based Horsemanship is written by

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Speaker 4: a neurologist and a horse trainer. The neurologist was also

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Speaker 4: a big horse guy, and basically they have done extensive

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Speaker 4: testing and I won't be able to do the book

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Speaker 4: Just Justice. It's been fifteen years since I read it.

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Speaker 4: But basically, this idea that a horse likes you or

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Speaker 4: doesn't like you is just not true. They don't have

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Speaker 4: a space in their brain to like you or not

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Speaker 4: like you.

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Speaker 2: You don't think you have mules that like you, None

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Speaker 2: of them ever.

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Speaker 4: They speak one language when they walk up to you,

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Speaker 4: that is who is in charge, dominance and submission. They

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Speaker 4: speak one language. And they've done all this neurological testing

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Speaker 4: and basically the biggest motor of the brain of an

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Speaker 4: equine animal is geared hords towards controlling this.

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Speaker 1: Huge body that they have.

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Speaker 4: What makes a human a human, All the stuff that

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Speaker 4: makes a human a human happens in this huge frontal lobe,

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Speaker 4: like if you were just look at like animal brains,

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Speaker 4: humans have this unusually large frontal lobe, and that's where

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Speaker 4: all the stuff that makes us human happens, like empathy,

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Speaker 4: Like you know, they can hook brain sensors up, and

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Speaker 4: if I go buy chili a coffee, you know this

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Speaker 4: altruistic moment, like that front part lights up and love, altruism,

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Speaker 4: all you know, empathy, compassion, all these things horse just

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Speaker 4: doesn't have that they have a very small frontal lobe

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Speaker 4: for how big they are. And so the idea that

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Speaker 4: your horse likes you or doesn't like you is just

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Speaker 4: is just blatantly not possible. And so that snake he does,

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Speaker 4: he's just he'll be as happy as he can be

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Speaker 4: in the global headquarters.

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Speaker 1: Anyway, I want to clarify a couple points. I'm not

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Speaker 1: worried about I'm not like it's gonna be up at

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Speaker 1: night worrying about how happy the snake is.

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Speaker 4: But I'm just saying, yeah, maybe I'm maybe I'm like

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Speaker 4: up already a little defensive, defensive.

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Speaker 1: I'm worried about I'm not worried about population that you're

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Speaker 1: you're keeping a that you pulling a timber ratler out

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Speaker 1: of the reproductive pool of of northern Arkansas is going

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Speaker 1: to have population level impact on the timber ratler. Get

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Speaker 1: worried about that. I'm not worried about that. He's gonna

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Speaker 1: be bored. I don't really know, but there.

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Speaker 4: Are ways talk about all the stuff he's gonna see

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Speaker 4: out that glass case.

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Speaker 1: Sure, yeah he might be. He might just be enthralled.

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Speaker 4: I will have to get a venomous snake permit from

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Speaker 4: the Arkansas game and fish.

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Speaker 1: To go collect it. Yeah, do you have a good

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Speaker 1: place to go look for one? I mean yes, I do.

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Speaker 1: I know where to find him.

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Speaker 6: Is there like a specific one that you're looking for,

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Speaker 6: Like does it have to speak to you? Or like

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Speaker 6: what what do you your first one you see? You're like, yep,

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Speaker 6: that's mine.

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Speaker 4: No, I would like to find a bigger one. Last year,

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Speaker 4: last October me and when I was riding my mule,

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Speaker 4: I found the biggest wild snake that I've ever seen.

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Speaker 4: But I wasn't in the market for a rattlesnake at

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Speaker 4: the time. I wish I could catch that one. I

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Speaker 4: actually talked to Brad say could I go back to

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Speaker 4: that same ridge and find that snake again? About where

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Speaker 4: he was? And he didn't think I could. Probably, Oh,

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Speaker 4: like a specific snake.

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Speaker 1: Like your odds of success in capturing that one would

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Speaker 1: be less. Yeah. Now, what if someone called you and

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Speaker 1: said I got a big one. I got a big

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Speaker 1: one in my yard.

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Speaker 4: I think I think what make would make it valuable

398
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Speaker 4: to me is that I knew right where that snake

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Speaker 4: lived and I picked him up brought him home.

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Speaker 1: I think that's what would make it valuable. Just like

401
00:21:51,760 --> 00:21:55,760
Speaker 1: Brent Reeves trying to sell pool or something isn't of

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Speaker 1: any interest to you.

403
00:21:57,280 --> 00:21:59,280
Speaker 4: No, I don't think so. I want to know where

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Speaker 4: he lived. I mean, I want to get him from

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Speaker 4: a specific place.

406
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Speaker 1: So you could know what he's meaning.

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Speaker 4: It's it's in the same vein of Brent Reeves trying

408
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Speaker 4: to sell me a tree and walker coon dog all

409
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Speaker 4: the time that I had nothing to do with, like

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Speaker 4: a started dog.

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Speaker 1: It's like not interested, Brent.

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Speaker 2: We recently acquired a frog, and I have determined he's happy.

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Speaker 1: I think he's happy. I think he likes you.

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Speaker 2: Yeah, I think he enjoys his living arrangement.

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Speaker 1: I gotta offered correction. I'm moving on from this. We're

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Speaker 1: moving news items.

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Speaker 3: Is this what a good correction or a bad direction?

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Speaker 1: Steve? Just where I'm wrong. It's just where I can

419
00:22:43,560 --> 00:22:46,880
Speaker 1: routinely make mistakes. Gotcha, No, this is the one where

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Speaker 1: the guy that wrote in is correct. I stand corrected.

421
00:22:50,040 --> 00:22:52,280
Speaker 1: And it's just a common mistake I made because I

422
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Speaker 1: know it's the pronunciation of Theodore Roosevelt. Well, now, how

423
00:22:57,880 --> 00:22:59,160
Speaker 1: often do you go Roosevelt?

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00:22:59,600 --> 00:23:01,840
Speaker 2: Never? You're the only one I know I know.

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00:23:01,920 --> 00:23:05,240
Speaker 1: And it's like it's like I recognize it's I don't

426
00:23:05,240 --> 00:23:10,359
Speaker 1: know why I say both. I just get lazy, and

427
00:23:10,840 --> 00:23:13,040
Speaker 1: this guy's having a little connection about it.

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Speaker 2: I thought the Roosevelt was like you being pretentious though.

429
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Speaker 3: Yeah, it was as cows thing.

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Speaker 1: Well, it's like this. I I I just said if

431
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Speaker 1: I could have done a test, that would have passed test.

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Speaker 1: But I just know there's two ways, and one of

433
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Speaker 1: them is wrong. I sometimes screw up. One is wrong.

434
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Speaker 1: But there's a letter. This guy, this, this guy that

435
00:23:34,119 --> 00:23:43,480
Speaker 1: wrote in sends a letter. It's from Theodore himself. I think,

436
00:23:43,600 --> 00:23:49,040
Speaker 1: is it? Yeah, from Theodore himself right into a guy.

437
00:23:50,720 --> 00:23:54,600
Speaker 1: As for my name, it is pronounced as if it

438
00:23:54,720 --> 00:23:59,000
Speaker 1: was spelled, and he spells our r O S A

439
00:23:59,160 --> 00:24:06,320
Speaker 1: V E L T Roosevelt. That is in three syllables,

440
00:24:06,840 --> 00:24:11,080
Speaker 1: the first syllable as if it was rose.

441
00:24:15,520 --> 00:24:16,879
Speaker 2: Are you gonna change.

442
00:24:16,680 --> 00:24:19,280
Speaker 1: I'm gonna try to never make that mistake again. Oh oh,

443
00:24:19,720 --> 00:24:28,880
Speaker 1: Theodore Roosevelt guy wrote in hearkening back to episode five

444
00:24:29,000 --> 00:24:33,400
Speaker 1: thirty eight, not a correction, but just a deeply annoyed

445
00:24:34,560 --> 00:24:37,199
Speaker 1: in five thirty eight? What what like? What about episode?

446
00:24:37,240 --> 00:24:39,760
Speaker 1: Do we on the count is all off? Yeah?

447
00:24:39,800 --> 00:24:41,879
Speaker 3: Because we have these bonus episodes that have been coming out.

448
00:24:41,920 --> 00:24:44,680
Speaker 3: We're at this. This is gonna be around five point

449
00:24:44,680 --> 00:24:46,080
Speaker 3: fifty oh around.

450
00:24:46,720 --> 00:24:50,240
Speaker 1: Not terribly long ago, we covered a Musky manifesto where

451
00:24:50,240 --> 00:24:54,520
Speaker 1: a kid wrote in a Musky manifesto telling us a

452
00:24:54,600 --> 00:25:00,879
Speaker 1: story about how he was robbed of his grandpa was

453
00:25:00,960 --> 00:25:04,560
Speaker 1: robbed of the world rescored muskie and talking about this,

454
00:25:04,680 --> 00:25:15,399
Speaker 1: I disparaged the musky community. Guy wrote in Steve. This

455
00:25:15,440 --> 00:25:21,440
Speaker 1: is him talking Steve's knowledge of musky biology and most

456
00:25:21,520 --> 00:25:26,719
Speaker 1: concerning his take on quote, the musky community is so

457
00:25:27,160 --> 00:25:32,879
Speaker 1: underinformed that it's frightful. I thought it could be an

458
00:25:32,880 --> 00:25:34,000
Speaker 1: April fool's joke.

459
00:25:35,760 --> 00:25:37,240
Speaker 3: You're scaring this person.

460
00:25:37,720 --> 00:25:42,679
Speaker 1: That's a big deal, he says. He goes on. By

461
00:25:42,720 --> 00:25:45,440
Speaker 1: all accounts, I'm a fervent member of the muskie community

462
00:25:45,480 --> 00:25:48,600
Speaker 1: for twenty five years in counting, and I'm nothing like

463
00:25:48,640 --> 00:26:00,199
Speaker 1: what he described. Huh. There are definitely bad apples, like

464
00:26:00,240 --> 00:26:03,679
Speaker 1: with any group. But for goodness sake, please don't condemn

465
00:26:03,720 --> 00:26:09,800
Speaker 1: a whole group based on the vocal absurd minority. As

466
00:26:09,840 --> 00:26:15,040
Speaker 1: for the claimed and now disqualified IGF a record seventy

467
00:26:15,080 --> 00:26:19,000
Speaker 1: two pound musky, no I read that sentence. I put

468
00:26:19,040 --> 00:26:21,760
Speaker 1: the emphasis on the wrong salable it should have been.

469
00:26:23,800 --> 00:26:28,800
Speaker 1: Did he just say salabil? It is my dad's favorite Joel? Gotcha? Gotcha?

470
00:26:28,920 --> 00:26:30,880
Speaker 1: I put the emphasis on the wrong salable.

471
00:26:31,000 --> 00:26:31,600
Speaker 2: You don't get it?

472
00:26:31,840 --> 00:26:33,720
Speaker 1: I do? I do? Is that good? I had to

473
00:26:33,760 --> 00:26:37,919
Speaker 1: just reat it. This gentleman has a sense. It's not

474
00:26:37,960 --> 00:26:44,520
Speaker 1: quite a sentence typical message. He says it. I don't

475
00:26:44,520 --> 00:26:46,000
Speaker 1: know how to end. I don't know how to you know,

476
00:26:46,040 --> 00:26:51,320
Speaker 1: how you use vocal intonation. As for the claimed and

477
00:26:51,440 --> 00:26:56,680
Speaker 1: now disqualified IGF a record seventy two pound muskie, it's period.

478
00:26:59,040 --> 00:27:01,240
Speaker 1: I don't know how to read the sentence. I go

479
00:27:01,320 --> 00:27:04,919
Speaker 1: into the sentence like I'm going to encounter a comma.

480
00:27:06,080 --> 00:27:08,480
Speaker 1: But it's more like he's saying like, as for the

481
00:27:09,520 --> 00:27:12,199
Speaker 1: claimed in disqualified, I g f a record setting two

482
00:27:12,200 --> 00:27:17,400
Speaker 1: pound muskie. Comma. Well, no, it's period, right. I don't

483
00:27:17,400 --> 00:27:21,119
Speaker 1: think I have left. I get to the end. I

484
00:27:21,160 --> 00:27:23,520
Speaker 1: get to the end of the sentence, and I'm and

485
00:27:23,960 --> 00:27:26,360
Speaker 1: I feel like the carp has been pulled out from

486
00:27:26,440 --> 00:27:28,639
Speaker 1: the rug has been pulled out from under me. Do

487
00:27:28,640 --> 00:27:30,480
Speaker 1: you know what I'm saying? Because I end on a

488
00:27:32,480 --> 00:27:34,840
Speaker 1: m hmm, kind of like a little cliffhanger, But there's

489
00:27:34,880 --> 00:27:37,280
Speaker 1: nothing there yeah, Jesus got a period. There's not another

490
00:27:37,320 --> 00:27:38,080
Speaker 1: sentence after that.

491
00:27:38,320 --> 00:27:43,520
Speaker 2: Well, and there's no sense sense and he's a double space,

492
00:27:45,119 --> 00:27:45,840
Speaker 2: he double.

493
00:27:45,600 --> 00:27:47,760
Speaker 1: Spaces at why are you giving this guy at the time, Well,

494
00:27:47,800 --> 00:27:50,200
Speaker 1: because he's got a valid point, but to set im

495
00:27:50,280 --> 00:27:52,560
Speaker 1: going to set the record that he double spaces, which

496
00:27:52,640 --> 00:27:56,919
Speaker 1: leads to an extra like as a reader, I'm not

497
00:27:56,960 --> 00:28:01,480
Speaker 1: only coming up against the period, right mm hmm, which

498
00:28:01,520 --> 00:28:06,199
Speaker 1: is a hard stop. This a little too accentuated by

499
00:28:06,200 --> 00:28:09,320
Speaker 1: a double space. Which no, no, no.

500
00:28:09,400 --> 00:28:11,359
Speaker 3: That this guy's a slacker who was just used to

501
00:28:11,359 --> 00:28:14,920
Speaker 3: filling out his college papers by double spacing after periods.

502
00:28:15,040 --> 00:28:18,600
Speaker 2: I thought that was like for folks who used typewriters,

503
00:28:18,640 --> 00:28:20,159
Speaker 2: because double space made a period.

504
00:28:20,200 --> 00:28:21,720
Speaker 3: Yeah, and we don't use typewriters anymore.

505
00:28:21,760 --> 00:28:25,919
Speaker 1: Space. As for the claim to now disqualified IGFA record

506
00:28:25,920 --> 00:28:29,560
Speaker 1: seventy two pound muskies. So here's what happened. A kid

507
00:28:29,560 --> 00:28:34,000
Speaker 1: wrote us in wrote into us his grandfather caught a

508
00:28:34,040 --> 00:28:37,520
Speaker 1: giant musky. Now he had all this documentation that he

509
00:28:37,640 --> 00:28:40,240
Speaker 1: presented to us, and this little manifesto is a thick

510
00:28:40,280 --> 00:28:43,480
Speaker 1: packet of printed out materials. But in the end they

511
00:28:43,520 --> 00:28:47,800
Speaker 1: released the muskie, and according to IGFA rules, a muskie

512
00:28:47,880 --> 00:28:52,440
Speaker 1: must be weighed on dry land, right, they could be wet.

513
00:28:52,640 --> 00:28:55,320
Speaker 1: You gotta weigh on land. You can't weigh in the boat,

514
00:28:56,560 --> 00:29:01,000
Speaker 1: does it. Let's say you're on a large ship. Mm hmm,

515
00:29:01,760 --> 00:29:04,520
Speaker 1: what are they I mean, I'm though, like expert in

516
00:29:04,600 --> 00:29:09,280
Speaker 1: weights and measures, but what on a boat makes a Yeah?

517
00:29:09,960 --> 00:29:12,480
Speaker 1: Makes a weight not work like you're on a buoyant.

518
00:29:12,560 --> 00:29:15,120
Speaker 1: Let's say you're on a buoyant. This is a question

519
00:29:15,160 --> 00:29:16,520
Speaker 1: for people who are good at physics.

520
00:29:17,840 --> 00:29:21,000
Speaker 4: Would it not be the bounce? Like imagine if the

521
00:29:21,040 --> 00:29:23,120
Speaker 4: boat was bouncing and then the and the fish was

522
00:29:23,160 --> 00:29:26,200
Speaker 4: pulling hard and you just pulled the greatest way, but

523
00:29:26,280 --> 00:29:28,560
Speaker 4: it was you know, at the trough of a wave

524
00:29:28,600 --> 00:29:30,600
Speaker 4: where the fish kind of the momentum of.

525
00:29:30,560 --> 00:29:31,480
Speaker 1: The fish pulled down.

526
00:29:31,960 --> 00:29:34,120
Speaker 4: That's probably what they're calculating for.

527
00:29:34,200 --> 00:29:37,920
Speaker 1: A I know this something that floats. If it floats,

528
00:29:38,040 --> 00:29:41,520
Speaker 1: that means it weighs less than the amount of water

529
00:29:41,680 --> 00:29:48,840
Speaker 1: it displaces. That's the definition of floating. Did you learn

530
00:29:48,880 --> 00:29:54,200
Speaker 1: that in full metal jacket? No, I'm just throwing that

531
00:29:54,240 --> 00:29:55,600
Speaker 1: in there to make it seem like what I'm gonna

532
00:29:55,600 --> 00:29:58,000
Speaker 1: say next is like well informed, that has nothing to

533
00:29:58,000 --> 00:29:59,400
Speaker 1: do what I'm gonna say next, But it's the interesting

534
00:29:59,440 --> 00:30:01,640
Speaker 1: idea like this is a question for any physicists out

535
00:30:01,640 --> 00:30:06,959
Speaker 1: there and thinking of the principles of a scale, Like

536
00:30:07,000 --> 00:30:09,520
Speaker 1: the fish is already in the boat before you put

537
00:30:09,560 --> 00:30:12,480
Speaker 1: it on the scale, so presumably like you've dropped. Just

538
00:30:12,520 --> 00:30:15,560
Speaker 1: when you take a fish on board, you're now displacing

539
00:30:15,600 --> 00:30:21,000
Speaker 1: more water, right, you have to be. You take a

540
00:30:21,040 --> 00:30:25,560
Speaker 1: fish on board, you've now you're displacing more water. You've dropped, However,

541
00:30:25,600 --> 00:30:31,600
Speaker 1: imperceptibly the vessel has yeah, okay, gone lower, but it's

542
00:30:31,640 --> 00:30:34,720
Speaker 1: already on board, So when you put it on a scale,

543
00:30:37,040 --> 00:30:41,000
Speaker 1: the damage is done, so to speak with the buoyancy.

544
00:30:41,560 --> 00:30:44,240
Speaker 1: But I'm wondering if there's any world in which you

545
00:30:44,280 --> 00:30:49,880
Speaker 1: can't get an accurate weight on something while floating because

546
00:30:49,920 --> 00:30:56,280
Speaker 1: the weight is somehow being the This is high level physics.

547
00:30:57,320 --> 00:31:00,320
Speaker 1: I'm not sure that it is. I want I say

548
00:31:00,400 --> 00:31:03,680
Speaker 1: it's not. You don't think it's high level. It's low level,

549
00:31:05,000 --> 00:31:05,880
Speaker 1: easy to understand.

550
00:31:07,000 --> 00:31:08,960
Speaker 3: You can't even if you can't use your words to

551
00:31:09,080 --> 00:31:10,920
Speaker 3: describe it. We all know what you're getting at.

552
00:31:10,960 --> 00:31:16,120
Speaker 1: Well. No, no, I think there's like black holes, black holes,

553
00:31:16,680 --> 00:31:20,480
Speaker 1: and then above that incomplexity would be this issue I'm

554
00:31:20,480 --> 00:31:27,000
Speaker 1: trying to talk about interesting. You know, it's a little

555
00:31:27,080 --> 00:31:29,960
Speaker 1: bit more than yeah, yeah, a little bit more complicated

556
00:31:30,000 --> 00:31:36,600
Speaker 1: than a black hole. So it all just has to

557
00:31:36,640 --> 00:31:37,120
Speaker 1: do that.

558
00:31:37,160 --> 00:31:40,400
Speaker 4: The boat would never be completely still, and there would

559
00:31:40,400 --> 00:31:43,760
Speaker 4: be there the boat would be riding the waves up

560
00:31:43,760 --> 00:31:44,160
Speaker 4: and down.

561
00:31:44,360 --> 00:31:47,520
Speaker 1: That could throw off a scale.

562
00:31:48,760 --> 00:31:51,880
Speaker 2: Okay, if you took it to an extreme scale, like

563
00:31:51,920 --> 00:31:54,920
Speaker 2: imagine that bowl was just constantly going back and forth,

564
00:31:54,960 --> 00:31:56,600
Speaker 2: you'd never get an accurate.

565
00:31:56,840 --> 00:31:58,960
Speaker 3: Like hold something heavy in your hands and then jump

566
00:31:59,040 --> 00:32:02,840
Speaker 3: up in the air. It immediately you feel lightness and

567
00:32:02,880 --> 00:32:06,920
Speaker 3: when you come back down, you know, yeah, it's easy

568
00:32:06,960 --> 00:32:07,680
Speaker 3: to grasp.

569
00:32:07,800 --> 00:32:10,320
Speaker 1: Okay, so fills on the side of the IGFA clear.

570
00:32:12,200 --> 00:32:16,760
Speaker 1: But that's not this guy's problem. Okay, this guy says, no,

571
00:32:17,000 --> 00:32:19,480
Speaker 1: this is this is harsh, but okay. He says, the

572
00:32:19,520 --> 00:32:24,960
Speaker 1: fish actually had zero documentation of its actual weight or length.

573
00:32:28,760 --> 00:32:31,280
Speaker 1: They put it on a scale and they later had

574
00:32:31,280 --> 00:32:35,640
Speaker 1: the scale calibrated, but it was on a boat. Here's

575
00:32:35,680 --> 00:32:40,600
Speaker 1: where his real bone to pick happens. No photos are

576
00:32:41,560 --> 00:32:46,440
Speaker 1: here's another thing, no photos or independent witnesses verifying its size.

577
00:32:48,960 --> 00:32:52,000
Speaker 1: Haters gonna hate man. Probably that's problematic. Here's the one

578
00:32:52,040 --> 00:32:57,240
Speaker 1: thing he says, it really does really impact me. Okay, theoretically,

579
00:32:57,280 --> 00:33:00,640
Speaker 1: I accept the water thing weighing on the water. I

580
00:33:00,680 --> 00:33:05,200
Speaker 1: accept there's no impartial observers. It's only their party. Okay.

581
00:33:06,320 --> 00:33:09,560
Speaker 1: He kind of justified the photography and all that, And

582
00:33:10,000 --> 00:33:12,000
Speaker 1: they did take a number of pictures of the fish

583
00:33:12,080 --> 00:33:14,960
Speaker 1: to scale with certain objects that could be checked later,

584
00:33:15,280 --> 00:33:18,800
Speaker 1: beer cans and other things.

585
00:33:19,360 --> 00:33:21,440
Speaker 2: The boat, Right, that was just a guess. I don't.

586
00:33:22,720 --> 00:33:29,400
Speaker 1: The guy says this though. Here's where his thing hangs up.

587
00:33:30,480 --> 00:33:34,800
Speaker 1: The biggest muskie ever recorded to sixty one pounds, So

588
00:33:34,840 --> 00:33:43,920
Speaker 1: he's like seventy two huh, right, that is a big

589
00:33:44,160 --> 00:33:46,280
Speaker 1: it is They realized that a seventy two pound muskie

590
00:33:46,280 --> 00:33:48,720
Speaker 1: would be the equivalent of a five hundred and twenty

591
00:33:48,720 --> 00:33:54,880
Speaker 1: one inch typical bull elk, eighteen percent bigger than anything

592
00:33:54,920 --> 00:34:00,840
Speaker 1: that has ever been legitimately measured and documented. Fish records

593
00:34:00,920 --> 00:34:06,760
Speaker 1: like go like hundreds of years, and they advanced by

594
00:34:06,840 --> 00:34:13,960
Speaker 1: with the they advanced by ounces. Mm hmm. Right. I

595
00:34:14,000 --> 00:34:17,920
Speaker 1: only recently learned that the biggest bass ever caught was

596
00:34:17,960 --> 00:34:21,840
Speaker 1: recently tied by a bass in Japan. And the IGFA

597
00:34:21,960 --> 00:34:25,399
Speaker 1: accepts the tie, but right down to the right down

598
00:34:25,400 --> 00:34:29,200
Speaker 1: to the ounce right, that's how like slowly this thing advances.

599
00:34:29,239 --> 00:34:31,480
Speaker 1: And also this guy, this, this guy and his grandpa

600
00:34:31,520 --> 00:34:33,640
Speaker 1: blow it out of the water by eleven pounds. That

601
00:34:33,760 --> 00:34:36,719
Speaker 1: sticks with me. That's interesting. Yeah, that sticks with me.

602
00:34:46,640 --> 00:34:49,440
Speaker 4: You know, it seems more plausible though, that a fish

603
00:34:49,640 --> 00:34:52,839
Speaker 4: would be able to break that kind of record, though, Like, yeah,

604
00:34:52,880 --> 00:34:55,759
Speaker 4: if all of a sudden, there's never been a five

605
00:34:55,840 --> 00:34:58,640
Speaker 4: hundred inch free range bull elk ever killed, and then

606
00:34:58,960 --> 00:35:00,399
Speaker 4: all of a sudden there is one, and it would

607
00:35:00,400 --> 00:35:02,200
Speaker 4: be it's kind of like the top end of the

608
00:35:02,239 --> 00:35:04,319
Speaker 4: species in the wild, you see it. I know it's

609
00:35:04,360 --> 00:35:07,480
Speaker 4: the exact same thing, but it feels like there could

610
00:35:07,520 --> 00:35:10,600
Speaker 4: be a fish that just was way bigger than anything

611
00:35:10,800 --> 00:35:11,320
Speaker 4: we never caught it.

612
00:35:11,400 --> 00:35:15,760
Speaker 1: Yeah, a little more believable. And Frank Mundas's disqualified world largest,

613
00:35:15,840 --> 00:35:18,719
Speaker 1: world's largest fish ever caught on rod and reel, would

614
00:35:18,760 --> 00:35:21,800
Speaker 1: have stopped the past record.

615
00:35:22,160 --> 00:35:24,560
Speaker 2: What it was fish, Well, it was a couple just to.

616
00:35:24,480 --> 00:35:26,000
Speaker 1: Give you a sense of how big this could move.

617
00:35:26,600 --> 00:35:29,839
Speaker 1: He won time harpooned a great white there was four

618
00:35:29,880 --> 00:35:35,040
Speaker 1: thousand some pounds, Okay, then later went out and caught

619
00:35:35,200 --> 00:35:38,600
Speaker 1: a giant not as big as the one he harpooned

620
00:35:38,600 --> 00:35:42,239
Speaker 1: but he could just likely caught that. Everybody's like, wow,

621
00:35:42,239 --> 00:35:44,080
Speaker 1: you harpooned it, so don't count. He's like, okay, I'll

622
00:35:44,080 --> 00:35:46,040
Speaker 1: catch on rod and reel went out and caught up

623
00:35:46,320 --> 00:35:49,760
Speaker 1: and then caught of thousands of pounds weight great white.

624
00:35:50,239 --> 00:35:54,640
Speaker 1: But they handed the rod off. Oh he hooked it,

625
00:35:56,120 --> 00:35:58,359
Speaker 1: gave the rod to his body so he could go

626
00:35:58,400 --> 00:36:00,840
Speaker 1: take the wheel, or vice versa. I can't remember which

627
00:36:01,680 --> 00:36:05,040
Speaker 1: igfa threw it out. It would be the biggest fish

628
00:36:05,080 --> 00:36:08,080
Speaker 1: ever caught on roden reel, by a way bigger bracket

629
00:36:08,120 --> 00:36:11,600
Speaker 1: than what this individual right here is pointing out. Now,

630
00:36:11,640 --> 00:36:15,000
Speaker 1: the real problem here is that Krin's not here. Because

631
00:36:15,080 --> 00:36:19,279
Speaker 1: this person goes on to say, Steve really needs to

632
00:36:19,320 --> 00:36:22,719
Speaker 1: take just a few to brush up on his musky biology,

633
00:36:23,440 --> 00:36:27,640
Speaker 1: and the history of faked musky records is actually fascinating.

634
00:36:27,680 --> 00:36:33,160
Speaker 1: He should read a compendium Musky angling history by Larry

635
00:36:33,280 --> 00:36:37,920
Speaker 1: ram Sell. You really should do a musky podcast with

636
00:36:38,040 --> 00:36:41,919
Speaker 1: a musky expert. Actually, Larry Ramsell might make a good

637
00:36:41,960 --> 00:36:46,160
Speaker 1: podcast guest. He's probably forgotten more about muskies than most

638
00:36:46,239 --> 00:36:50,440
Speaker 1: musky experts ever knew, but he's still a wealth of knowledge.

639
00:36:50,440 --> 00:36:55,880
Speaker 1: Meaning even though he's think about the claim, take the

640
00:36:55,960 --> 00:37:00,279
Speaker 1: second greatest musky expert ever and measure his knowledge and

641
00:37:01,800 --> 00:37:10,760
Speaker 1: in bits of information. Larry has forgotten more bits about

642
00:37:10,880 --> 00:37:15,719
Speaker 1: muskies than that individual ever knew. Yet, in spite of

643
00:37:15,760 --> 00:37:20,239
Speaker 1: having forgotten that vast body of material, he still knows

644
00:37:20,280 --> 00:37:21,120
Speaker 1: more than number two.

645
00:37:22,560 --> 00:37:26,520
Speaker 4: Are you buying that? I mean, are you making fun

646
00:37:26,520 --> 00:37:27,120
Speaker 4: of that claim?

647
00:37:27,200 --> 00:37:30,520
Speaker 1: No, it's just a It seems an extremely knowledgeable individual

648
00:37:31,120 --> 00:37:31,920
Speaker 1: with that information.

649
00:37:32,000 --> 00:37:34,640
Speaker 4: Now you, I mean, why don't you Why don't you

650
00:37:34,960 --> 00:37:37,520
Speaker 4: have this kid and his grandpa on and this musky

651
00:37:37,560 --> 00:37:40,680
Speaker 4: biologist on the same head to head like family feud

652
00:37:40,800 --> 00:37:41,799
Speaker 4: episode of Meat Eater.

653
00:37:41,920 --> 00:37:44,840
Speaker 1: That's what I would like to do. That's why you're here, Claire. Yeah,

654
00:37:45,000 --> 00:37:46,200
Speaker 1: can you make a note of that film?

655
00:37:47,000 --> 00:37:49,640
Speaker 3: Yeah, Family Mouskie Podcast.

656
00:37:49,840 --> 00:37:52,560
Speaker 1: Well I would. This is this is what we'll do.

657
00:37:52,960 --> 00:37:56,640
Speaker 1: This is ant like a game show. This is no,

658
00:37:56,719 --> 00:38:01,640
Speaker 1: it's just a conversation. This is an invitation too, And

659
00:38:01,680 --> 00:38:03,840
Speaker 1: this is not dependent on both like either one of

660
00:38:03,840 --> 00:38:07,280
Speaker 1: these things like that. Well, No, this is an imitation

661
00:38:07,360 --> 00:38:09,960
Speaker 1: for Larry Ramsell to come on and talk about We'll

662
00:38:09,960 --> 00:38:13,680
Speaker 1: talk about muskies, muskie records, the history of fraudulent muskies,

663
00:38:15,400 --> 00:38:19,799
Speaker 1: the musky community. Yeah, muskies and I'll point out that

664
00:38:19,920 --> 00:38:24,960
Speaker 1: my maternal grandfather was an avid Musky angler, So you

665
00:38:25,080 --> 00:38:26,839
Speaker 1: got some skin in the game. Skin in the game.

666
00:38:26,880 --> 00:38:29,120
Speaker 4: You know when I run across stuff like this that

667
00:38:29,200 --> 00:38:32,479
Speaker 4: there's really no way to know for sure. I want

668
00:38:32,520 --> 00:38:34,359
Speaker 4: to look the guy in the eyes and have him

669
00:38:34,400 --> 00:38:37,799
Speaker 4: tell me the story. Like that's my go to. It's like,

670
00:38:38,200 --> 00:38:41,960
Speaker 4: come here, tell me that story. Me just just give

671
00:38:42,000 --> 00:38:46,120
Speaker 4: them and then then I can. It's like just reading

672
00:38:46,160 --> 00:38:46,640
Speaker 4: something deep.

673
00:38:46,719 --> 00:38:50,319
Speaker 1: Did you ditch on? Yeah, of course I did. You

674
00:38:50,400 --> 00:38:51,640
Speaker 1: never made that face at me?

675
00:38:51,960 --> 00:38:54,479
Speaker 4: Well, I was making that face in the back.

676
00:38:55,000 --> 00:38:59,120
Speaker 1: It's like for real. So yeah, if we can get

677
00:38:59,160 --> 00:39:01,759
Speaker 1: Larry Ramsell to come on the show, and it'd be

678
00:39:01,760 --> 00:39:03,680
Speaker 1: great to have Larry come on along with the kid

679
00:39:03,719 --> 00:39:04,719
Speaker 1: who wrote the Musky.

680
00:39:04,560 --> 00:39:07,520
Speaker 4: Manifesto, Yeah, that would be great. He'd do it, that kid,

681
00:39:07,520 --> 00:39:08,280
Speaker 4: he's passionate.

682
00:39:08,640 --> 00:39:11,520
Speaker 2: You should uh before that, though, go read Pat Dirkins

683
00:39:11,560 --> 00:39:17,200
Speaker 2: articles called Mobsters, Arson and Photogrammetry, the World Record Musky

684
00:39:17,320 --> 00:39:20,720
Speaker 2: conspiracy theories, and he talks about Larry in that article

685
00:39:21,000 --> 00:39:22,200
Speaker 2: on the Meat Eater dot com.

686
00:39:22,239 --> 00:39:24,560
Speaker 1: I'm dying to him on and now the guy I

687
00:39:24,600 --> 00:39:26,839
Speaker 1: hadn't gotten this far in his letter, he ends letter

688
00:39:26,880 --> 00:39:29,920
Speaker 1: real nice. I feel bad about all.

689
00:39:30,000 --> 00:39:32,160
Speaker 3: I was gonna say something mean, what is saying?

690
00:39:33,280 --> 00:39:37,920
Speaker 1: He said? I look forward to hopefully odd syntax. I

691
00:39:38,000 --> 00:39:44,040
Speaker 1: look forward to hopefully a correction or recantation, or maybe

692
00:39:44,040 --> 00:39:47,279
Speaker 1: even an actual representative of the muskie community as a

693
00:39:47,320 --> 00:39:51,319
Speaker 1: podcast guest. I think that I duke. This individual's name

694
00:39:51,360 --> 00:39:56,799
Speaker 1: is Duke. Duke, I hear you. I will pursue having

695
00:39:56,880 --> 00:40:00,160
Speaker 1: Larry Ramsell come on the show. Thank you, Duke to

696
00:40:00,200 --> 00:40:03,120
Speaker 1: talk about it all. Joke inside. I appreciate your note.

697
00:40:03,160 --> 00:40:07,640
Speaker 2: In Dirkin's article, he says Larry Ramsell of Hayward is

698
00:40:07,680 --> 00:40:09,959
Speaker 2: the premiere historian of musky lore.

699
00:40:11,080 --> 00:40:14,000
Speaker 1: Dude, So there's how old is he? I don't know.

700
00:40:14,200 --> 00:40:16,200
Speaker 1: You try to find out that's too old to come on?

701
00:40:16,400 --> 00:40:17,160
Speaker 1: Is he?

702
00:40:17,160 --> 00:40:20,279
Speaker 2: He wrote a highly detailed book in nineteen eighty four,

703
00:40:20,600 --> 00:40:22,320
Speaker 2: so that ten.

704
00:40:22,440 --> 00:40:23,880
Speaker 1: He probably he was fifty.

705
00:40:23,960 --> 00:40:27,080
Speaker 4: I bet he was in his mid late thirties when

706
00:40:27,120 --> 00:40:30,040
Speaker 4: he wrote that. That's when most ambitious writers take off.

707
00:40:30,120 --> 00:40:33,520
Speaker 3: Are seth or musky chet, you know, interested in this

708
00:40:33,600 --> 00:40:34,120
Speaker 3: kind of stuff?

709
00:40:34,200 --> 00:40:36,359
Speaker 1: Or do they just like yeah, they they can't come

710
00:40:36,360 --> 00:40:40,480
Speaker 1: on the show as like a musky community expert.

711
00:40:40,640 --> 00:40:43,240
Speaker 3: Well, I wouldn't say expert, but representatives yeah.

712
00:40:43,280 --> 00:40:48,319
Speaker 1: Oh, they could come and listen. Even Seth even what

713
00:40:48,360 --> 00:40:48,920
Speaker 1: are you finding?

714
00:40:50,440 --> 00:40:56,120
Speaker 2: He appears to be old but ill old. Well, that

715
00:40:56,200 --> 00:40:58,080
Speaker 2: looks like an old photo of him, and he looks

716
00:40:58,120 --> 00:40:59,640
Speaker 2: like an old man in that old photo.

717
00:41:00,120 --> 00:41:01,759
Speaker 1: Mmmm, damn it.

718
00:41:03,400 --> 00:41:07,160
Speaker 4: I'd taken in two thousand and four. The guy's still alive,

719
00:41:07,360 --> 00:41:08,799
Speaker 4: got a little spark left in him.

720
00:41:08,960 --> 00:41:11,800
Speaker 1: Larry, we will fly you out. We will listen, Larry,

721
00:41:11,840 --> 00:41:14,480
Speaker 1: this is this is like, this is. You're gonna get

722
00:41:14,760 --> 00:41:19,399
Speaker 1: great service. We will fly you out, all expense paid

723
00:41:19,440 --> 00:41:22,480
Speaker 1: trip to Bozeman, will put you up, we'll feed you.

724
00:41:22,480 --> 00:41:24,759
Speaker 1: You'll come on the show and we'll talk musky lower.

725
00:41:27,360 --> 00:41:30,600
Speaker 1: Speaking of muskies, let's move on to sturgeon. There's like

726
00:41:30,640 --> 00:41:32,759
Speaker 1: a number of big news items going on right now

727
00:41:33,160 --> 00:41:37,600
Speaker 1: with fish. Yeah, with fish. So we covered pretty heavily that.

728
00:41:37,640 --> 00:41:44,000
Speaker 1: There was a lot of angst when the there was

729
00:41:44,040 --> 00:41:50,480
Speaker 1: a push to list the Who could set this up

730
00:41:50,480 --> 00:41:56,879
Speaker 1: for me? It's a complicated setup. Not me. The US

731
00:41:56,880 --> 00:42:00,520
Speaker 1: Fish and Wildlife Service was doing a twelve month finding

732
00:42:00,920 --> 00:42:06,680
Speaker 1: okay on whether or not the Lake sturgeon warranted listing

733
00:42:06,880 --> 00:42:14,400
Speaker 1: under the Endangered Species Act okay, which was problematic to

734
00:42:16,200 --> 00:42:21,000
Speaker 1: recovery efforts in Wisconsin. Now, if you are a sturgeon,

735
00:42:21,080 --> 00:42:26,400
Speaker 1: an aspiring sturgeon fisherman, all your attention lies in Wisconsin

736
00:42:27,360 --> 00:42:30,319
Speaker 1: where there's another there's a there's a number of uh

737
00:42:30,920 --> 00:42:35,839
Speaker 1: waterways in Wisconsin where you can spear sturgeon through the ice.

738
00:42:38,239 --> 00:42:41,040
Speaker 1: There's some that's governed on a quota where's there's like

739
00:42:41,080 --> 00:42:44,759
Speaker 1: a general season opener and there's an opening day and

740
00:42:44,760 --> 00:42:47,880
Speaker 1: there's a sturgeon quota, and the quota gets hit and

741
00:42:47,920 --> 00:42:50,920
Speaker 1: it closes, and then there are some draw units in

742
00:42:50,960 --> 00:42:54,759
Speaker 1: these in these other lakes there are draw units where

743
00:42:54,760 --> 00:42:56,520
Speaker 1: can draw tag, and me and Yanni always put in

744
00:42:56,520 --> 00:43:00,560
Speaker 1: every year we're building our bonus points for our sturgeon

745
00:43:00,600 --> 00:43:03,480
Speaker 1: tags and the good lakes. So I'm acknowledging that I

746
00:43:03,520 --> 00:43:06,520
Speaker 1: have a bias here. I have a conflict of interest

747
00:43:06,840 --> 00:43:18,520
Speaker 1: as a reporter. Now, Wisconsin, while doing sturgeon very limited

748
00:43:18,560 --> 00:43:22,680
Speaker 1: sturgeon harvest, has been very, very successful at sturgeon recovery.

749
00:43:24,160 --> 00:43:27,280
Speaker 1: They're making a lot of good progress on putting sturgeon

750
00:43:27,520 --> 00:43:34,879
Speaker 1: back in waters where they have been, where they were extirpated,

751
00:43:35,280 --> 00:43:39,200
Speaker 1: and they're building this kind of like beautiful culture of

752
00:43:39,719 --> 00:43:43,600
Speaker 1: locals and people who are very invested in the resource

753
00:43:44,440 --> 00:43:48,680
Speaker 1: right very interested in sturgeon recovery, very bought into sturgeon.

754
00:43:48,719 --> 00:43:52,880
Speaker 1: There's a culture around sturgeon spearing. It's a very celebrated fishery.

755
00:43:53,160 --> 00:43:56,800
Speaker 1: It's a celebrated fish, okay. And they were worried about

756
00:43:56,840 --> 00:43:59,879
Speaker 1: the ESA listing because if it got the ESA list,

757
00:44:00,680 --> 00:44:04,319
Speaker 1: this system by which Wisconsin has been managing sturgeon very

758
00:44:04,360 --> 00:44:08,760
Speaker 1: successfully with a great proven track record, would be upended,

759
00:44:09,640 --> 00:44:12,120
Speaker 1: and the Feds would need to come in and say, hey,

760
00:44:12,800 --> 00:44:14,959
Speaker 1: thanks for all the great work, but your whole cute

761
00:44:15,000 --> 00:44:20,640
Speaker 1: little sturgeon season thing is done, okay. And in a

762
00:44:20,680 --> 00:44:23,120
Speaker 1: case like that, what I fear happens when you in

763
00:44:23,200 --> 00:44:24,920
Speaker 1: a case like that, what I fear happens is you

764
00:44:24,960 --> 00:44:31,120
Speaker 1: take public goodwill and public sentiment and people rallying around

765
00:44:31,840 --> 00:44:35,279
Speaker 1: a cause, and you turn it into something that is

766
00:44:35,400 --> 00:44:39,839
Speaker 1: besides the fishery. It becomes like anger and frustration with

767
00:44:40,080 --> 00:44:45,240
Speaker 1: federal overreach. And it doesn't always need to be federal

768
00:44:45,280 --> 00:44:48,840
Speaker 1: because we're in we're We just left California yesterday. I

769
00:44:48,880 --> 00:44:51,440
Speaker 1: spent a bunch of time with divers in California and

770
00:44:51,480 --> 00:44:53,680
Speaker 1: they had a problem where the whole state had a

771
00:44:53,680 --> 00:44:57,520
Speaker 1: closure on abalony. They went from having you know, they

772
00:44:57,560 --> 00:45:00,080
Speaker 1: went from issuing whatever the hell was thirty thousand the

773
00:45:00,120 --> 00:45:08,359
Speaker 1: abalony tags a year to zero. And people brought up, well,

774
00:45:08,400 --> 00:45:13,080
Speaker 1: why don't we try two thousand abalony tags a year.

775
00:45:13,480 --> 00:45:16,160
Speaker 1: Why don't we keep the harp, keep the fishery alive,

776
00:45:16,400 --> 00:45:19,439
Speaker 1: keep the culture alive. Keep all these people who are

777
00:45:19,480 --> 00:45:25,160
Speaker 1: like big a baloney advocates, right, keep them engaged just

778
00:45:25,200 --> 00:45:29,120
Speaker 1: as a social play. Keep the culture of abalony diving

779
00:45:29,280 --> 00:45:31,560
Speaker 1: alive because these are like big proponents for the resource.

780
00:45:31,640 --> 00:45:34,279
Speaker 1: Gives the people incentive. There's people that celebrate, there's like

781
00:45:34,320 --> 00:45:36,640
Speaker 1: a baloney festivals and all this stuff, right, like like

782
00:45:37,760 --> 00:45:43,279
Speaker 1: pursue recovery, but maintain the culture. And they chose in

783
00:45:43,280 --> 00:45:46,200
Speaker 1: this case to just like done.

784
00:45:46,640 --> 00:45:50,480
Speaker 4: Abalony is a big muscle or clam, big mullusk.

785
00:45:50,760 --> 00:45:56,040
Speaker 1: Yeah, it's a big edible mullusk. So there was a

786
00:45:56,040 --> 00:45:59,560
Speaker 1: lot of handwringing. There's a lot of anxiety in Wisconsin

787
00:45:59,640 --> 00:46:02,400
Speaker 1: that they what they view to be the winning approach

788
00:46:02,640 --> 00:46:05,960
Speaker 1: on sturgeon recovery would have been threatened. But and we

789
00:46:06,000 --> 00:46:07,880
Speaker 1: reported on that a whole bunch, talked about that a

790
00:46:07,880 --> 00:46:12,200
Speaker 1: whole bunch, and this just out. We at the US

791
00:46:12,239 --> 00:46:16,200
Speaker 1: Fish and Wildlife Service are announcing our twelve month finding

792
00:46:16,800 --> 00:46:20,920
Speaker 1: that Lake Sturgeon does not warrant listing under the Endangered

793
00:46:20,960 --> 00:46:26,120
Speaker 1: Species Act. Our agency brought together a team of biologists

794
00:46:26,120 --> 00:46:30,200
Speaker 1: to compile and examine the best available data and research

795
00:46:30,360 --> 00:46:35,840
Speaker 1: into a species status assessment. We solicited data from Native

796
00:46:35,920 --> 00:46:40,120
Speaker 1: nations and state agencies from across the species range and

797
00:46:40,239 --> 00:46:43,920
Speaker 1: invited them to provide information necessary for the development of

798
00:46:44,000 --> 00:46:50,520
Speaker 1: the SSA and to review the draft SSA report. Using

799
00:46:50,560 --> 00:46:54,880
Speaker 1: the best available science to aform to inform our delisting determination,

800
00:46:55,560 --> 00:46:58,319
Speaker 1: we found that the species is not at risk of

801
00:46:58,400 --> 00:47:03,279
Speaker 1: extinction now or in the foreseeable future. We did not

802
00:47:03,440 --> 00:47:07,560
Speaker 1: find any populations of Lake Surgeon that met the criteria

803
00:47:07,719 --> 00:47:12,240
Speaker 1: for a distinct population segment. Our decision is a testament

804
00:47:12,760 --> 00:47:16,399
Speaker 1: to the great collaborative conservation work being done with our

805
00:47:16,440 --> 00:47:22,560
Speaker 1: partners from states, tribal nations, non governmental organizations, universities, and

806
00:47:22,680 --> 00:47:28,160
Speaker 1: other federal agencies across the species range. Hi's great news.

807
00:47:33,480 --> 00:47:36,840
Speaker 2: In comments Larry is eighty two years old.

808
00:47:37,400 --> 00:47:38,600
Speaker 1: Exactly what I thought was.

809
00:47:41,040 --> 00:47:42,120
Speaker 2: Hayward, Wisconsin.

810
00:47:42,160 --> 00:47:47,759
Speaker 1: We want to shoot him A note. No started out

811
00:47:47,880 --> 00:47:49,920
Speaker 1: say something like, hey, I heard your big hot shot

812
00:47:50,320 --> 00:47:51,040
Speaker 1: muskie community.

813
00:47:51,080 --> 00:47:52,840
Speaker 2: I think he does have a website, though.

814
00:47:54,320 --> 00:47:56,560
Speaker 3: You think he's still checking his emails.

815
00:47:58,800 --> 00:48:02,960
Speaker 4: You know, I think I think one of the biggest

816
00:48:03,680 --> 00:48:06,080
Speaker 4: plays in the success of the North American made of

817
00:48:06,120 --> 00:48:11,440
Speaker 4: wildlife conservation has been incentivizing people through limited access to

818
00:48:11,480 --> 00:48:15,239
Speaker 4: the resource, even if it's even if it's a little bit,

819
00:48:16,120 --> 00:48:16,840
Speaker 4: that's powerful.

820
00:48:17,120 --> 00:48:18,920
Speaker 1: I think I think you need to maintain it at

821
00:48:18,960 --> 00:48:22,080
Speaker 1: all costs. Yeah, just well, let's take let's take a

822
00:48:22,080 --> 00:48:24,320
Speaker 1: look at a couple examples.

823
00:48:25,040 --> 00:48:27,680
Speaker 4: I feel like we're in a class. When he said that,

824
00:48:27,719 --> 00:48:30,000
Speaker 4: it felt like he was a teacher. Well, that'll just

825
00:48:30,000 --> 00:48:30,880
Speaker 4: start writing notes.

826
00:48:31,120 --> 00:48:37,040
Speaker 1: Have only been recovered across I think twenty four maybe

827
00:48:37,080 --> 00:48:43,440
Speaker 1: not even fourteen percent of their historic range. Okay, so

828
00:48:43,719 --> 00:48:45,040
Speaker 1: we look and be like, Okay, if we're going to

829
00:48:45,080 --> 00:48:48,960
Speaker 1: take a national perspective, elk should be an esa species.

830
00:48:51,520 --> 00:48:58,560
Speaker 1: They're absent from their historic range Wisconsin, Minnesota, Michigan, Tennessee, Kentucky,

831
00:48:58,920 --> 00:49:02,719
Speaker 1: West Virginia, Pennsylvania. No, no, no, no, I'm sure you have

832
00:49:02,719 --> 00:49:05,520
Speaker 1: little pockets in some of those states, very small pockets

833
00:49:05,520 --> 00:49:08,600
Speaker 1: in some of those states. But by any examination, LKSHB

834
00:49:08,680 --> 00:49:15,120
Speaker 1: and eesa species, they're regionally extirpated across the majority of

835
00:49:15,160 --> 00:49:21,000
Speaker 1: their range. But lo and behold, we hunt them where

836
00:49:21,040 --> 00:49:29,600
Speaker 1: they're abundant, right, bighorn sheep. Now, there are states that

837
00:49:29,680 --> 00:49:37,720
Speaker 1: issue small handfuls of big horn sheep tags. They're extinct

838
00:49:37,760 --> 00:49:42,279
Speaker 1: across tons of their native range. But where you have

839
00:49:42,400 --> 00:49:46,120
Speaker 1: a harvestable of small harvestable surplus, we still carry on

840
00:49:46,200 --> 00:49:50,799
Speaker 1: the tradition of sheep hunting, which gives us like the

841
00:49:50,840 --> 00:49:54,560
Speaker 1: Wild Sheep Society, like, which gives us sheep conservation groups

842
00:49:54,600 --> 00:49:57,040
Speaker 1: because hunters that will never ever have a chance to

843
00:49:57,120 --> 00:50:00,040
Speaker 1: hunt a sheep are sheep conservationists because they view it

844
00:50:00,080 --> 00:50:02,600
Speaker 1: as this like part of the menagerie of big game

845
00:50:02,640 --> 00:50:05,200
Speaker 1: animals in America that they might aspire to one day

846
00:50:05,280 --> 00:50:09,280
Speaker 1: hunt for. If you strip that, you lose that. Yeah,

847
00:50:09,320 --> 00:50:15,040
Speaker 1: and it becomes emblematic of something different. Yeah, pretty brilliant. Really.

848
00:50:15,520 --> 00:50:20,279
Speaker 1: Oh it's a great system. Yeah. But I wrote in

849
00:50:21,200 --> 00:50:24,000
Speaker 1: with a Johnny Cash album cover that I was unaware of.

850
00:50:25,680 --> 00:50:28,520
Speaker 1: I saw that you need to put that on your

851
00:50:28,560 --> 00:50:31,560
Speaker 1: social media. Well here's the deal, I keep say. I'm

852
00:50:31,560 --> 00:50:34,759
Speaker 1: not going to bring it up anymore, but last I

853
00:50:34,760 --> 00:50:37,600
Speaker 1: saw a couple fresh set eyes will find more Beans

854
00:50:37,640 --> 00:50:38,160
Speaker 1: T shirts.

855
00:50:38,239 --> 00:50:40,680
Speaker 4: Oh did you in Sacramento.

856
00:50:40,239 --> 00:50:43,200
Speaker 1: At Sacramento show. I saw three people wearing fresh set

857
00:50:43,280 --> 00:50:46,960
Speaker 1: eyes will Find More Beans t shirts. Now, there's a

858
00:50:47,040 --> 00:50:51,760
Speaker 1: Johnny Cash album called.

859
00:50:52,960 --> 00:50:54,080
Speaker 2: Look at Them Beans.

860
00:50:55,840 --> 00:50:58,920
Speaker 1: I wonder at what point in his career that he

861
00:50:59,080 --> 00:51:02,000
Speaker 1: had that now, but let's take a look. Could have

862
00:51:02,000 --> 00:51:04,399
Speaker 1: been Probably was in the struggling years. Yeah, I want

863
00:51:04,440 --> 00:51:06,799
Speaker 1: to explain what I'm seeing on the cover. Now, I'm

864
00:51:06,800 --> 00:51:12,000
Speaker 1: gonna put this. I'll put this on social media. Basically,

865
00:51:12,840 --> 00:51:22,120
Speaker 1: Johnny Cash is corroborating or stealing my saying. On this

866
00:51:22,200 --> 00:51:24,760
Speaker 1: album cover, Johnny Cash is wearing a blue denim shirt.

867
00:51:25,800 --> 00:51:32,160
Speaker 1: He has reclined on his back, using as a pillow

868
00:51:33,880 --> 00:51:38,880
Speaker 1: a mountain of beans. He's reclining on a pile of

869
00:51:38,920 --> 00:51:49,760
Speaker 1: pole beans. A young boy, maybe eight, wearing a plaid shirt,

870
00:51:51,360 --> 00:51:56,920
Speaker 1: is laying on Johnny Cash's chest, his elbows resting on

871
00:51:57,000 --> 00:52:05,680
Speaker 1: Johnny Cash's sternum upper abdomen, and the child is holding

872
00:52:05,880 --> 00:52:15,960
Speaker 1: two more fistfuls of beans. Right, what I'm getting from

873
00:52:16,000 --> 00:52:18,080
Speaker 1: the image is that Johnny Cash has found all these

874
00:52:18,120 --> 00:52:24,080
Speaker 1: beans that he's laying on. But here's this young child

875
00:52:24,160 --> 00:52:25,760
Speaker 1: representing a fresh set of eyes.

876
00:52:27,160 --> 00:52:28,920
Speaker 3: I see it, by the way, I just looked it up.

877
00:52:28,960 --> 00:52:31,920
Speaker 1: Here's the sun representing a fresh set of eyes, and

878
00:52:31,960 --> 00:52:36,200
Speaker 1: what does the sun? And what does he have? Beans?

879
00:52:36,200 --> 00:52:37,959
Speaker 1: More beans? Beans in his hand?

880
00:52:38,520 --> 00:52:39,840
Speaker 2: Nineteen seventy five, The.

881
00:52:39,840 --> 00:52:43,839
Speaker 1: Fresh set of eyes found more beans. I was one

882
00:52:43,920 --> 00:52:45,080
Speaker 1: years old. What's the happening?

883
00:52:45,160 --> 00:52:46,040
Speaker 2: You listened to song?

884
00:52:46,640 --> 00:52:49,800
Speaker 1: No phill you mind playing a clip?

885
00:52:50,760 --> 00:52:51,920
Speaker 3: You for copyright reasons?

886
00:52:51,920 --> 00:52:55,200
Speaker 1: I do, No, you can play a clip. We're having

887
00:52:55,200 --> 00:52:55,960
Speaker 1: a discussion about it.

888
00:52:56,360 --> 00:52:58,920
Speaker 3: Oh that's true. Yeah, but you know YouTube doesn't care

889
00:52:58,960 --> 00:53:02,400
Speaker 3: that we're having a discussion about can't you tell him? Now?

890
00:53:03,960 --> 00:53:07,000
Speaker 2: Hey, look at that beans, and look at that corn,

891
00:53:07,120 --> 00:53:10,799
Speaker 2: and I bet them watermelons must be three feet long. Man,

892
00:53:10,920 --> 00:53:13,799
Speaker 2: look at them tomatoes, and look at them peas well.

893
00:53:13,840 --> 00:53:15,879
Speaker 2: I know if Papa was here right now, he'd sure

894
00:53:15,960 --> 00:53:16,440
Speaker 2: be pleased.

895
00:53:16,480 --> 00:53:18,800
Speaker 3: I apologize to the YouTube audience. You're not gonna hear this.

896
00:53:25,400 --> 00:53:26,720
Speaker 1: It's a nice full sound.

897
00:53:26,840 --> 00:53:28,759
Speaker 7: This time last year, the show was a lot of

898
00:53:28,800 --> 00:53:29,960
Speaker 7: sad faces.

899
00:53:29,560 --> 00:53:30,640
Speaker 1: Around this old house.

900
00:53:31,280 --> 00:53:34,760
Speaker 7: Our papa died without fulfilling his life's dream of producing

901
00:53:35,040 --> 00:53:38,000
Speaker 7: one of the best crops in Grimes counting m No.

902
00:53:38,280 --> 00:53:40,960
Speaker 7: Papa died with a dream still in his head. I

903
00:53:41,080 --> 00:53:43,640
Speaker 7: desire in his heart, a promise on his lips. Call

904
00:53:43,719 --> 00:53:45,120
Speaker 7: us is on both hands.

905
00:53:44,800 --> 00:53:46,200
Speaker 1: And two dollars in his pocket.

906
00:53:46,719 --> 00:53:49,600
Speaker 7: Papa didn't live long enough to see his dream come true,

907
00:53:49,880 --> 00:53:52,280
Speaker 7: so he died from too much work, a broken spirit,

908
00:53:52,360 --> 00:53:55,000
Speaker 7: I guess. But I promised to our mama that if

909
00:53:55,000 --> 00:53:57,239
Speaker 7: it was the last thing he'd ever do, he had

910
00:53:57,320 --> 00:53:59,520
Speaker 7: lived long enough to see just one good crop.

911
00:54:00,080 --> 00:54:03,120
Speaker 1: Controversial. If I suggest that Johnny Cash actually as bad

912
00:54:03,120 --> 00:54:05,160
Speaker 1: as Rapp, we don't know.

913
00:54:05,480 --> 00:54:06,960
Speaker 3: I don't. I don't think it is at all.

914
00:54:07,160 --> 00:54:07,359
Speaker 7: Man.

915
00:54:07,680 --> 00:54:10,640
Speaker 4: Hey, when I hear these little preambles to these songs,

916
00:54:10,800 --> 00:54:14,160
Speaker 4: it's it's I feel like I need that for my ballads,

917
00:54:15,719 --> 00:54:18,680
Speaker 4: like a little like a little forty fifty second like

918
00:54:19,040 --> 00:54:20,360
Speaker 4: Johnny Cash, the father.

919
00:54:20,160 --> 00:54:23,759
Speaker 1: Of rap, that would father? I like that? Did you

920
00:54:23,800 --> 00:54:25,359
Speaker 1: get first wrapper, Clay?

921
00:54:25,440 --> 00:54:28,160
Speaker 8: Did you get some inspiration for a new ballad listening

922
00:54:28,200 --> 00:54:28,440
Speaker 8: to that?

923
00:54:28,680 --> 00:54:28,919
Speaker 1: Yeah?

924
00:54:28,920 --> 00:54:31,200
Speaker 4: I did, Like just a just a preamble, like a

925
00:54:31,239 --> 00:54:32,480
Speaker 4: smokeing preamble.

926
00:54:32,800 --> 00:54:33,839
Speaker 1: I used to do that a lot.

927
00:54:33,920 --> 00:54:36,600
Speaker 8: Yeah you got code? Did that tone for it? You

928
00:54:36,600 --> 00:54:37,719
Speaker 8: should start doing that?

929
00:54:37,920 --> 00:54:41,399
Speaker 1: Yeah? Two our things we got we got a hand

930
00:54:41,400 --> 00:54:42,719
Speaker 1: with those handful of the things we got hit. But

931
00:54:42,719 --> 00:54:45,160
Speaker 1: here's two our things. Oh so if you go back,

932
00:54:45,280 --> 00:54:48,520
Speaker 1: I don't know what what what episode was what episode

933
00:54:48,600 --> 00:54:50,400
Speaker 1: was our hog hunting podcast episode?

934
00:54:50,640 --> 00:54:53,040
Speaker 3: Phil oh Man, I don't know the number, but it's yeah,

935
00:54:53,040 --> 00:54:55,000
Speaker 3: you don't have it allread in Texas. No, I don't.

936
00:54:55,239 --> 00:54:55,760
Speaker 1: I'm sorry.

937
00:54:56,000 --> 00:54:58,959
Speaker 3: It's been a thousand podcastings I've been working here, yep.

938
00:54:59,320 --> 00:55:01,560
Speaker 3: But it's it's easy to find the Texas Hog Hunt.

939
00:55:01,640 --> 00:55:04,480
Speaker 1: Not too long ago there was a podcast epical episode

940
00:55:04,560 --> 00:55:06,640
Speaker 1: with Cam Haynes called the Texas Hog Hunt. Well, we

941
00:55:06,680 --> 00:55:09,239
Speaker 1: also down there shot some video and you can go

942
00:55:09,320 --> 00:55:11,960
Speaker 1: find that that video of hunting some hogs with Cam

943
00:55:12,000 --> 00:55:17,400
Speaker 1: Haynes on YouTube. So not only did the podcast episode,

944
00:55:17,400 --> 00:55:19,400
Speaker 1: but there's some hunting some hunting action.

945
00:55:19,760 --> 00:55:21,239
Speaker 3: Well, there were a couple. There's the one we wear

946
00:55:21,280 --> 00:55:23,319
Speaker 3: Korean shoots the hog and there's a separate one with

947
00:55:23,360 --> 00:55:23,960
Speaker 3: Cam Haynes.

948
00:55:24,000 --> 00:55:28,759
Speaker 2: The Hammering Hogs with Cam Haynes was episode five twenty two.

949
00:55:29,400 --> 00:55:34,040
Speaker 1: Got it. Also a duck hunting video with Clay Matthews

950
00:55:34,120 --> 00:55:36,480
Speaker 1: is out where we did a podcast with Clay Matthews,

951
00:55:36,480 --> 00:55:40,160
Speaker 1: a famous football player, and film some stuff there. That

952
00:55:40,239 --> 00:55:42,000
Speaker 1: video is out. Both those are out on YouTube.

953
00:55:42,480 --> 00:55:44,799
Speaker 2: That was episode five twenty Also.

954
00:55:44,560 --> 00:55:50,160
Speaker 1: Folks need to go to we had so some episodes back.

955
00:55:50,880 --> 00:55:55,839
Speaker 1: We had a guest on from Cypress Cove Marina down

956
00:55:55,920 --> 00:55:58,840
Speaker 1: Louisiana and we talked about I talked with him Renee

957
00:55:58,880 --> 00:56:01,440
Speaker 1: Cross is his name, about My experience is going down

958
00:56:01,480 --> 00:56:06,040
Speaker 1: to Cypress Coved Marina spearfishing, becoming friends with Renee at

959
00:56:06,080 --> 00:56:10,919
Speaker 1: Cypress Cove Marina, and we kicked off where we're doing

960
00:56:10,960 --> 00:56:14,680
Speaker 1: like a takeover at Cypress Coved Marina and doing a

961
00:56:14,719 --> 00:56:19,239
Speaker 1: big fishing trip party. So that is meat eat If

962
00:56:19,239 --> 00:56:23,400
Speaker 1: you want to join and go down for inshore, offshore fishing,

963
00:56:24,040 --> 00:56:29,720
Speaker 1: fish cleaning, local food, the great trip for a few days.

964
00:56:29,840 --> 00:56:34,120
Speaker 1: Go check out Meat Eater Experiences. You can go to

965
00:56:34,160 --> 00:56:37,720
Speaker 1: our website and go to Media Experiences and find details

966
00:56:37,760 --> 00:56:41,319
Speaker 1: on those trips coming up for fishing in October and

967
00:56:41,360 --> 00:56:46,160
Speaker 1: then for waterfoul in December January. Just go check that out.

968
00:56:46,480 --> 00:56:48,560
Speaker 2: Are you going to one of those clay Yeah? Which one?

969
00:56:48,760 --> 00:56:49,960
Speaker 1: Venice?

970
00:56:50,640 --> 00:56:53,719
Speaker 4: Brent's gonna be in Venice and also Kansas Waterfowl.

971
00:56:55,400 --> 00:56:57,000
Speaker 1: I'm gonna be down there in Venice.

972
00:56:58,320 --> 00:56:59,280
Speaker 2: With Clean Steve.

973
00:57:00,880 --> 00:57:03,319
Speaker 1: Uh well, Chili's going to be there.

974
00:57:03,400 --> 00:57:06,279
Speaker 8: I'll be there on the second half. Y y, he's

975
00:57:06,280 --> 00:57:08,640
Speaker 8: gonna be there, yeah.

976
00:57:08,480 --> 00:57:13,240
Speaker 1: Cal Oh and doctor Randall. Yeah, he won the one

977
00:57:13,320 --> 00:57:15,719
Speaker 1: won a trip doctor Randall won a trip won the

978
00:57:16,040 --> 00:57:21,919
Speaker 1: company through the company basketball thing I made.

979
00:57:21,920 --> 00:57:25,560
Speaker 6: I made Randall feel real bad about winning actually, because

980
00:57:25,560 --> 00:57:27,520
Speaker 6: well I just told him. I'm like, Randall, like you

981
00:57:27,520 --> 00:57:30,240
Speaker 6: seem to win everything. You win trivia, you win all

982
00:57:30,280 --> 00:57:32,200
Speaker 6: these trips, you get to go on bear hunts, like

983
00:57:32,240 --> 00:57:34,400
Speaker 6: you know, there's some someone else at the office that

984
00:57:34,440 --> 00:57:35,640
Speaker 6: maybe really wanted to go.

985
00:57:35,840 --> 00:57:37,440
Speaker 1: That is true. Yeah, well it's Randall.

986
00:57:38,360 --> 00:57:40,840
Speaker 6: And he like looked at me with all this worry

987
00:57:40,920 --> 00:57:44,600
Speaker 6: because Brie was Bree, our coworker, really wanted to go.

988
00:57:44,800 --> 00:57:46,479
Speaker 6: I was like, you do you just stole that trip

989
00:57:46,520 --> 00:57:49,120
Speaker 6: from her? And uh, he kind of felt bad.

990
00:57:49,120 --> 00:57:52,160
Speaker 2: And I bet he looked like he was worried.

991
00:57:52,160 --> 00:57:55,720
Speaker 1: I got a problem with Randall. Well, he likes to

992
00:57:55,720 --> 00:58:00,600
Speaker 1: think he's running with the big dogs on wildlife. I've

993
00:58:00,640 --> 00:58:02,560
Speaker 1: got two things he's got. He's got a line on

994
00:58:02,640 --> 00:58:04,640
Speaker 1: a badger that I've been looking to get. Did he

995
00:58:04,680 --> 00:58:07,280
Speaker 1: send you the video? Yeah, still hasn't gotten me my permission.

996
00:58:07,880 --> 00:58:11,200
Speaker 1: And my kids are in the pigeon selling business, and

997
00:58:11,320 --> 00:58:13,320
Speaker 1: Randall's got a line on some pigeons and he hasn't

998
00:58:13,320 --> 00:58:16,520
Speaker 1: sealed the deal on that either. Wow, It's like two things.

999
00:58:16,520 --> 00:58:17,960
Speaker 1: You could you come to and hey, I could sure

1000
00:58:18,160 --> 00:58:20,000
Speaker 1: use some help on that badger. I could show you

1001
00:58:20,040 --> 00:58:23,480
Speaker 1: some help on those pigeons. Months go by, not a

1002
00:58:23,520 --> 00:58:24,360
Speaker 1: bit of progress.

1003
00:58:24,480 --> 00:58:27,000
Speaker 8: Well, I think with the badger we made a deal.

1004
00:58:27,240 --> 00:58:31,080
Speaker 1: Too busy winning winning stuff, not busy enough working.

1005
00:58:31,240 --> 00:58:32,800
Speaker 6: Well, we made the deal that I got to go

1006
00:58:32,880 --> 00:58:34,720
Speaker 6: try to catch that badger with my bare hands, which

1007
00:58:34,720 --> 00:58:35,520
Speaker 6: you don't think I can do.

1008
00:58:35,760 --> 00:58:37,080
Speaker 1: I can catch it with your brands. I can not

1009
00:58:37,120 --> 00:58:38,840
Speaker 1: gonna let you try. And if you did get a

1010
00:58:38,920 --> 00:58:41,640
Speaker 1: try and it's not gonna work, it's gonna work. Did

1011
00:58:41,640 --> 00:58:44,080
Speaker 1: you see mercer ings arms at other night from trying

1012
00:58:44,080 --> 00:58:46,000
Speaker 1: to catch a bob cat? Well, that's a bobcat.

1013
00:58:46,240 --> 00:58:49,560
Speaker 4: A lot a lot of those animals, like like raccoons

1014
00:58:49,880 --> 00:58:53,040
Speaker 4: and beavers, when you grab them, they just they don't

1015
00:58:53,080 --> 00:58:55,000
Speaker 4: have the flexibility to get you if you get them

1016
00:58:55,040 --> 00:58:56,680
Speaker 4: right behind on the nape of the neck. Now I

1017
00:58:56,680 --> 00:58:59,480
Speaker 4: wouldn't I don't. I don't think i'd want to be

1018
00:58:59,520 --> 00:59:00,000
Speaker 4: catching it back.

1019
00:59:00,960 --> 00:59:04,200
Speaker 1: But no, you know those animals like that with short

1020
00:59:04,280 --> 00:59:06,840
Speaker 1: legs and a lot of muscle you don't want to

1021
00:59:06,880 --> 00:59:07,320
Speaker 1: tussle with.

1022
00:59:08,840 --> 00:59:12,640
Speaker 4: Well, what what do you think about hand catching a raccoon.

1023
00:59:12,880 --> 00:59:15,000
Speaker 1: I have a I have a method. Well, because we

1024
00:59:15,040 --> 00:59:16,920
Speaker 1: have pet raccoons. You just pick him up by the scruff.

1025
00:59:18,000 --> 00:59:19,080
Speaker 1: Well you can.

1026
00:59:19,200 --> 00:59:22,440
Speaker 4: You can also if you see a raccoon that's just

1027
00:59:22,640 --> 00:59:26,640
Speaker 4: out in the big field, like at night. Yeah, it's

1028
00:59:26,840 --> 00:59:28,919
Speaker 4: very easy to catch him. Run up to them, tap

1029
00:59:29,000 --> 00:59:32,320
Speaker 4: them in the rear end. They'll spin around and then

1030
00:59:32,480 --> 00:59:35,280
Speaker 4: you kind of just kind of juic with them a

1031
00:59:35,320 --> 00:59:37,880
Speaker 4: little bit, and then when they turned to run, you

1032
00:59:37,920 --> 00:59:39,880
Speaker 4: grab them by the tail and they cannot get you.

1033
00:59:40,040 --> 00:59:41,480
Speaker 1: Yeah. My mom used to throw them out of the

1034
00:59:41,520 --> 00:59:44,000
Speaker 1: house by the tail because they'd get into the house

1035
00:59:44,040 --> 00:59:46,080
Speaker 1: and throw them back out of the house by the tail.

1036
00:59:46,360 --> 00:59:49,920
Speaker 3: I'm gonna in defensive Randall. I don't think he admitted

1037
00:59:49,920 --> 00:59:51,960
Speaker 3: this to you. Something tells me he was probably embarrassed

1038
00:59:52,000 --> 00:59:56,000
Speaker 3: to but that quote that that I lost quote unquote

1039
00:59:56,520 --> 00:59:59,600
Speaker 3: about the pharaohs and the babies that you had framed

1040
00:59:59,600 --> 01:00:05,720
Speaker 3: in the off Randall spent hours days looking for that quote.

1041
01:00:05,760 --> 01:00:06,760
Speaker 3: I don't know if he told you how.

1042
01:00:06,800 --> 01:00:09,280
Speaker 1: He told me. When his wife was watching something that

1043
01:00:09,560 --> 01:00:12,000
Speaker 1: wasn't that couldn't hold his interest, he would try to

1044
01:00:12,000 --> 01:00:12,360
Speaker 1: find that.

1045
01:00:12,400 --> 01:00:15,440
Speaker 3: He read complete books on the off chance that a

1046
01:00:15,480 --> 01:00:18,919
Speaker 3: quote that The quote might be in the book. You'll

1047
01:00:18,920 --> 01:00:21,120
Speaker 3: have to ask him exactly which ones, but it was.

1048
01:00:21,200 --> 01:00:22,960
Speaker 3: It was an embarrassing amount of time.

1049
01:00:23,080 --> 01:00:24,439
Speaker 1: And you feel that.

1050
01:00:24,120 --> 01:00:28,520
Speaker 3: I feel like you should. You should be grateful Randall

1051
01:00:28,560 --> 01:00:29,600
Speaker 3: cares about you that much.

1052
01:00:29,960 --> 01:00:32,000
Speaker 1: No, I am, but I just feel like he's kind

1053
01:00:32,000 --> 01:00:34,320
Speaker 1: of burning me on this badger pigeon situation.

1054
01:00:34,440 --> 01:00:35,720
Speaker 3: Well, you know, nobody's perfect.

1055
01:00:36,040 --> 01:00:37,600
Speaker 1: I'm glad that you won all that stuff, and I'm

1056
01:00:37,600 --> 01:00:42,280
Speaker 1: glad he wins all the trivia. Here. Here's one last

1057
01:00:42,280 --> 01:00:43,640
Speaker 1: thing I want to discuss. There's a couple things I

1058
01:00:43,680 --> 01:00:46,360
Speaker 1: wanted to discuss. There's two Chettikot questions, even though Chester's

1059
01:00:46,400 --> 01:00:48,560
Speaker 1: not here. And then there's this some hot news coming

1060
01:00:48,560 --> 01:00:53,560
Speaker 1: out of Arizona. Well, how do you guys feel about

1061
01:00:53,600 --> 01:00:57,880
Speaker 1: the fact that the Arizona Fish and Game the Arizona Game,

1062
01:00:58,480 --> 01:01:05,160
Speaker 1: Game and Fish Commission just voted four to one to

1063
01:01:05,360 --> 01:01:14,640
Speaker 1: eliminate governor's tags, the governor's auction tags. Mhmm, Well, I think.

1064
01:01:14,480 --> 01:01:16,880
Speaker 2: If they can prove that like a raffle will come

1065
01:01:16,920 --> 01:01:19,560
Speaker 2: close to raising the same amount of money, then that's great.

1066
01:01:19,680 --> 01:01:24,360
Speaker 2: But if not, they're just like saying goodbye to hundreds

1067
01:01:24,400 --> 01:01:25,960
Speaker 2: of thousands of dollars.

1068
01:01:25,880 --> 01:01:28,120
Speaker 1: Well over the course of years.

1069
01:01:28,200 --> 01:01:31,120
Speaker 4: Yeah, so did they do it just because like people

1070
01:01:31,200 --> 01:01:35,040
Speaker 4: were disputed as like this rich guy's game where it's

1071
01:01:35,600 --> 01:01:37,560
Speaker 4: just totally kind of like public and.

1072
01:01:38,080 --> 01:01:39,960
Speaker 2: Some way it had gotten too big. I think it

1073
01:01:40,000 --> 01:01:42,680
Speaker 2: was two years ago they broke the record in back

1074
01:01:42,720 --> 01:01:45,280
Speaker 2: to back days, once for the animalop Island tag and

1075
01:01:45,320 --> 01:01:48,280
Speaker 2: then again for Arizona the next day. And maybe like

1076
01:01:48,320 --> 01:01:50,720
Speaker 2: if that didn't happen, maybe if the dollar amounts are smaller,

1077
01:01:50,920 --> 01:01:52,080
Speaker 2: like this wouldn't be the case.

1078
01:01:52,560 --> 01:02:02,040
Speaker 1: I'm gonna do a quick deep dive for folks. This

1079
01:02:02,160 --> 01:02:05,200
Speaker 1: debate in some way centers around interpretations of what we

1080
01:02:05,240 --> 01:02:09,200
Speaker 1: call the North American model a big game. Uh, what's

1081
01:02:09,240 --> 01:02:13,120
Speaker 1: it called? North American model America wild big game wildless sorry,

1082
01:02:13,120 --> 01:02:16,400
Speaker 1: wildlife conservation where one of the tenants I think there's

1083
01:02:16,440 --> 01:02:19,920
Speaker 1: seven tenants in the model that we use. This is

1084
01:02:19,960 --> 01:02:24,480
Speaker 1: not a formal, codified model. It's it's like it's like

1085
01:02:24,480 --> 01:02:27,640
Speaker 1: a sort of a living document. One of the tenants

1086
01:02:27,680 --> 01:02:34,600
Speaker 1: is that you have democratic allocation of wildlife. Okay, some

1087
01:02:34,840 --> 01:02:39,680
Speaker 1: argue that doing a governor's tag or tag auction is

1088
01:02:39,720 --> 01:02:46,200
Speaker 1: not democratic allocation of wildlife and a little out of

1089
01:02:46,320 --> 01:02:48,200
Speaker 1: order in this expimation. I'll point out what that is.

1090
01:02:48,240 --> 01:02:53,320
Speaker 1: So here you're taking a you can the state of

1091
01:02:53,320 --> 01:02:55,520
Speaker 1: Arizona might go out and give out dozens of big

1092
01:02:55,560 --> 01:02:58,439
Speaker 1: horn cheap tags, okay to people who drew, to people

1093
01:02:58,440 --> 01:03:01,800
Speaker 1: who drew, but they take one of those tags. They'll

1094
01:03:01,800 --> 01:03:04,240
Speaker 1: take one of those tags, and they'll usually create special

1095
01:03:04,280 --> 01:03:07,800
Speaker 1: parameters around it. They'll take a big horn tag and

1096
01:03:07,840 --> 01:03:10,440
Speaker 1: they'll say, Okay, this big horn tag is not just

1097
01:03:10,480 --> 01:03:13,800
Speaker 1: good for the season. This big horn tag is good

1098
01:03:13,840 --> 01:03:19,160
Speaker 1: for three hundred and sixty five days. Here's a big

1099
01:03:19,200 --> 01:03:23,520
Speaker 1: horn tag that's good for the entire calendar year, and

1100
01:03:23,560 --> 01:03:26,440
Speaker 1: it's good for any unit that's open to sheep hunting.

1101
01:03:27,160 --> 01:03:31,440
Speaker 1: So you're making like a mega tag, right, and then

1102
01:03:31,480 --> 01:03:34,640
Speaker 1: you auction it to the highest bidder. Now, since this

1103
01:03:34,800 --> 01:03:39,640
Speaker 1: highest bidder is gonna get first cracks at any sheet,

1104
01:03:42,840 --> 01:03:46,040
Speaker 1: in the longest crack at any sheet, they can be

1105
01:03:46,160 --> 01:03:51,160
Speaker 1: very valuable. So if you have a scout group, like

1106
01:03:51,200 --> 01:03:54,080
Speaker 1: an outfitter who's got an eye on a big big horn,

1107
01:03:54,400 --> 01:04:00,720
Speaker 1: big desert big horn, whatever, you're gonna get it. You

1108
01:04:00,800 --> 01:04:02,480
Speaker 1: already got enough money to buy the damn thing. You're

1109
01:04:02,480 --> 01:04:04,360
Speaker 1: definitely have enough money to get it. And you're they're

1110
01:04:04,400 --> 01:04:08,000
Speaker 1: gonna put you on it, okay, And these tags sell

1111
01:04:08,080 --> 01:04:10,040
Speaker 1: for lots of money. So it used to be that

1112
01:04:10,080 --> 01:04:12,720
Speaker 1: you'd hear of governor's tags being two hundred grand, two

1113
01:04:12,800 --> 01:04:15,640
Speaker 1: hundred and fifty grand, and then it's crept up into

1114
01:04:15,720 --> 01:04:16,280
Speaker 1: the like.

1115
01:04:16,960 --> 01:04:19,840
Speaker 2: Seven hundred thousand I think was the Arizona record that

1116
01:04:19,920 --> 01:04:20,280
Speaker 2: was set.

1117
01:04:20,520 --> 01:04:24,360
Speaker 1: Yeah, and so here you have a person paying upwards

1118
01:04:24,360 --> 01:04:25,880
Speaker 1: of three quarters of a million dollars.

1119
01:04:25,920 --> 01:04:29,320
Speaker 4: Is that what we saw auctioned off at the Western

1120
01:04:29,400 --> 01:04:30,520
Speaker 4: Hunt Western Hunt Expo?

1121
01:04:31,480 --> 01:04:34,320
Speaker 1: I don't know what, I don't remember what I.

1122
01:04:34,240 --> 01:04:36,480
Speaker 4: Mean, it went for like five hundred thousand dollars.

1123
01:04:36,640 --> 01:04:38,680
Speaker 1: Well, they had a night where they set a record

1124
01:04:38,680 --> 01:04:41,120
Speaker 1: and the record only lasted like a hour, and they

1125
01:04:41,160 --> 01:04:45,640
Speaker 1: broke the record again that night. So here you have

1126
01:04:46,000 --> 01:04:49,439
Speaker 1: where you're taking granted, you're taking a sheep tag out

1127
01:04:49,440 --> 01:04:52,080
Speaker 1: of the pool and giving it to the highest bidder,

1128
01:04:52,120 --> 01:04:56,080
Speaker 1: so it's not democratically allocated, it's it's to the richest

1129
01:04:56,080 --> 01:05:02,840
Speaker 1: man in the room. However, all of that fund goes

1130
01:05:02,880 --> 01:05:09,280
Speaker 1: to habitat work. Okay, So these governor tags that they

1131
01:05:09,320 --> 01:05:12,919
Speaker 1: just got rid of, I think since two thousand, since

1132
01:05:12,960 --> 01:05:17,680
Speaker 1: the mid two thousands, they've raised eleven million dollars for habitat.

1133
01:05:18,360 --> 01:05:25,640
Speaker 1: All that money goes into the Department's Habitat part Partnership Committee. Okay,

1134
01:05:25,760 --> 01:05:31,640
Speaker 1: so it's it's a huge pile of conservation money. This

1135
01:05:31,800 --> 01:05:33,440
Speaker 1: it's one of those issues that I look at and

1136
01:05:33,440 --> 01:05:35,240
Speaker 1: it's like I can't even make up my mind, Like

1137
01:05:35,320 --> 01:05:38,800
Speaker 1: both sides are so clear to me, Like both sides

1138
01:05:38,800 --> 01:05:40,440
Speaker 1: of the argument are so clear to me that it

1139
01:05:40,480 --> 01:05:42,480
Speaker 1: winds up being one of the rare things. It's just

1140
01:05:42,520 --> 01:05:44,760
Speaker 1: like hard for me, Like if I had to make

1141
01:05:44,760 --> 01:05:48,040
Speaker 1: the decision unilaterally, I would lose tremendous amounts of sleep

1142
01:05:48,440 --> 01:05:51,000
Speaker 1: and would never be able to decide because I get

1143
01:05:51,040 --> 01:05:55,160
Speaker 1: it the appearance of taking a resource it's supposed to

1144
01:05:55,160 --> 01:05:58,600
Speaker 1: be democratically allocated and auctioning it off to the highest bidder.

1145
01:05:59,280 --> 01:06:02,480
Speaker 1: Like I get how that frustrates people, but I also

1146
01:06:02,520 --> 01:06:05,400
Speaker 1: get how it brings in huge amounts of money for

1147
01:06:05,440 --> 01:06:09,720
Speaker 1: wildlife habitat. Yeah, in exchange for one animal, in exchange

1148
01:06:09,720 --> 01:06:15,000
Speaker 1: for one animal. Yeah, Now here's a little like Colorado

1149
01:06:16,400 --> 01:06:20,240
Speaker 1: is opening up. Colorado's taking a new unit that hasn't

1150
01:06:20,240 --> 01:06:22,920
Speaker 1: been open for hunting. Okay, this is this is kind

1151
01:06:22,920 --> 01:06:25,280
Speaker 1: of like something that's going on right now, Colorado's got

1152
01:06:25,280 --> 01:06:27,240
Speaker 1: a new unit. It's gonna open up for big horns.

1153
01:06:28,280 --> 01:06:31,760
Speaker 1: There's a pretty well known big horn in that unit.

1154
01:06:32,080 --> 01:06:34,400
Speaker 1: The potentially is gonna be the new world record big.

1155
01:06:34,200 --> 01:06:35,320
Speaker 2: Horn right now.

1156
01:06:35,760 --> 01:06:43,320
Speaker 1: Yep, people all know about it. They just are creating

1157
01:06:43,320 --> 01:06:47,000
Speaker 1: a new unit. His unit is getting opened. Everybody knows

1158
01:06:47,000 --> 01:06:51,280
Speaker 1: about him. All of a sudden. That Governor's tag this

1159
01:06:51,440 --> 01:06:56,720
Speaker 1: year is very valuable. Why because you're gonna get there's

1160
01:06:56,840 --> 01:06:59,240
Speaker 1: one tag. Maybe it's gonna be a one tag unit,

1161
01:06:59,640 --> 01:07:02,240
Speaker 1: but the Governor's tag is good for any unit that

1162
01:07:02,360 --> 01:07:10,160
Speaker 1: has hunting. You're you're you're buying the animal. And a

1163
01:07:10,160 --> 01:07:12,800
Speaker 1: lot of the Governor's tags go like that, Like someone

1164
01:07:12,800 --> 01:07:14,320
Speaker 1: will go to a bitterer and be like, here's what

1165
01:07:14,320 --> 01:07:16,960
Speaker 1: we have, here's our like here's a dossier on the

1166
01:07:16,960 --> 01:07:19,440
Speaker 1: available animals, Like we got a stud meal 're on

1167
01:07:19,480 --> 01:07:24,120
Speaker 1: Anilo Island. Do you want in? Because the minute you

1168
01:07:24,120 --> 01:07:26,560
Speaker 1: buy this tag, we're gonna get it. We're gonna put

1169
01:07:26,560 --> 01:07:29,120
Speaker 1: you there and you're gonna make the shot. Mm hmm.

1170
01:07:33,000 --> 01:07:37,160
Speaker 1: So people don't like it, but it's just a ton

1171
01:07:37,200 --> 01:07:41,520
Speaker 1: of money for habitat and like it doesn't it make

1172
01:07:41,600 --> 01:07:44,960
Speaker 1: sense that all of those millions of dollars have way

1173
01:07:45,000 --> 01:07:49,280
Speaker 1: more than like, way more than made up and producing

1174
01:07:49,360 --> 01:07:52,280
Speaker 1: wildlife to make up for the one animal that that

1175
01:07:52,280 --> 01:07:55,440
Speaker 1: that one animal year that all that money costs, like

1176
01:07:57,080 --> 01:08:00,480
Speaker 1: eleven million bucks probably buys you a lot about horns

1177
01:08:01,720 --> 01:08:08,000
Speaker 1: from habitat work. Yeah, you know, even if you regard

1178
01:08:08,120 --> 01:08:10,520
Speaker 1: I'm not using this is not my term, but even

1179
01:08:10,600 --> 01:08:12,520
Speaker 1: if you looked at it totally like a deal with

1180
01:08:12,600 --> 01:08:15,600
Speaker 1: the devil, it's not a bad deal. Yeah. I don't

1181
01:08:15,640 --> 01:08:16,840
Speaker 1: view it as a deal with the devil at all.

1182
01:08:16,960 --> 01:08:19,920
Speaker 1: I'm saying, like, even if you have that perspective, it's

1183
01:08:19,960 --> 01:08:23,679
Speaker 1: not a bad deal. Yeah, but it stings people. There's

1184
01:08:23,720 --> 01:08:25,560
Speaker 1: people that like, man, I've been applying to play the

1185
01:08:25,560 --> 01:08:27,800
Speaker 1: game and apply for a big horn tag for thirty years,

1186
01:08:27,840 --> 01:08:30,519
Speaker 1: never drew one, never will and then you you're just

1187
01:08:30,560 --> 01:08:32,240
Speaker 1: selling them off to some guy that can buy a

1188
01:08:32,320 --> 01:08:34,479
Speaker 1: new one every year. Why not?

1189
01:08:35,680 --> 01:08:38,160
Speaker 2: But I feel like, I like, i'd like, I don't

1190
01:08:38,160 --> 01:08:42,200
Speaker 2: want to advance any further beyond what it was. But

1191
01:08:42,320 --> 01:08:44,000
Speaker 2: you already see it in some other states with like

1192
01:08:44,600 --> 01:08:47,040
Speaker 2: it's not the same, but it feels like it in

1193
01:08:47,120 --> 01:08:49,840
Speaker 2: some ways, Like in Wyoming, you can apply special or

1194
01:08:49,880 --> 01:08:53,920
Speaker 2: regular for a tag right, yea, and regular irregular deer

1195
01:08:53,920 --> 01:08:56,840
Speaker 2: tag might cost you three hundred and fifty dollars. But

1196
01:08:56,880 --> 01:09:00,000
Speaker 2: if you apply special, you're applying for like a thousand dollars,

1197
01:09:00,479 --> 01:09:01,960
Speaker 2: so you can get a more limited pool.

1198
01:09:02,280 --> 01:09:04,679
Speaker 1: You pay more money to get in a more limited pool.

1199
01:09:04,800 --> 01:09:10,679
Speaker 2: Yeah, yep, So that's like happening on a smaller scale.

1200
01:09:11,479 --> 01:09:13,880
Speaker 2: But in this case, I'm I'm okay with the governor's tags.

1201
01:09:14,000 --> 01:09:22,240
Speaker 2: There's a lot of money.

1202
01:09:24,240 --> 01:09:27,160
Speaker 1: There are many, many cases, I mean to be easy

1203
01:09:27,200 --> 01:09:30,680
Speaker 1: to explain them all. There are many cases where this

1204
01:09:30,800 --> 01:09:37,360
Speaker 1: gets subverted a little bit like and it's always where

1205
01:09:37,400 --> 01:09:42,800
Speaker 1: the democratic allocation thing gets skewed, and it often is

1206
01:09:42,800 --> 01:09:45,200
Speaker 1: in service of the goal of while they have habitat.

1207
01:09:45,240 --> 01:09:49,839
Speaker 1: For instance, some states do these things called transferable landowner tags,

1208
01:09:50,080 --> 01:09:57,360
Speaker 1: where if a landowner has certain acreage of ground that

1209
01:09:57,479 --> 01:10:03,559
Speaker 1: provides habitat for a species, the landowner gets tags. Now,

1210
01:10:03,600 --> 01:10:05,679
Speaker 1: it was historically like, hey, you own all this land,

1211
01:10:05,720 --> 01:10:07,479
Speaker 1: the animals live on your place, here's a tag. You

1212
01:10:07,479 --> 01:10:09,479
Speaker 1: should be able to hunt regardless of whether you draw

1213
01:10:09,479 --> 01:10:11,560
Speaker 1: a tag or not. But then they make them transferable,

1214
01:10:12,280 --> 01:10:15,080
Speaker 1: and they make them sell and they make them unit wide.

1215
01:10:15,960 --> 01:10:20,200
Speaker 1: So let's say I could have one thousand acres in

1216
01:10:20,240 --> 01:10:24,639
Speaker 1: New Mexico that doesn't even have a prong horn on it. Okay,

1217
01:10:26,000 --> 01:10:32,200
Speaker 1: but I get my transferable land unit wide landowner pronghorn tag,

1218
01:10:32,479 --> 01:10:35,880
Speaker 1: which I can sell on the open market because it's

1219
01:10:35,880 --> 01:10:38,880
Speaker 1: good for the whole unit, not just my property. So

1220
01:10:38,920 --> 01:10:41,880
Speaker 1: I'm being rewarded for my property with the tag that

1221
01:10:42,000 --> 01:10:45,640
Speaker 1: I then sell to Chili for six thousand bucks. U.

1222
01:10:47,080 --> 01:10:52,880
Speaker 1: Chili doesn't even hunt my place. Chili goes and hunts

1223
01:10:53,760 --> 01:10:57,200
Speaker 1: BLM or whatever, never steps foot on my place. Some

1224
01:10:57,200 --> 01:11:00,559
Speaker 1: people go like, what is this that seems different? What

1225
01:11:00,640 --> 01:11:03,559
Speaker 1: is this? How is this the North American model?

1226
01:11:06,960 --> 01:11:09,400
Speaker 6: Yeah, a lot of people were talking about that with

1227
01:11:09,520 --> 01:11:13,519
Speaker 6: like the New Mexico calan Jason Felks, and they were like,

1228
01:11:13,840 --> 01:11:15,479
Speaker 6: how did you guys pull text? How did you guys

1229
01:11:15,520 --> 01:11:19,679
Speaker 6: pull text? Like, no, that there's other avenues that you take. Yeah,

1230
01:11:19,720 --> 01:11:23,720
Speaker 6: and they're like how to like without getting into the

1231
01:11:23,800 --> 01:11:26,320
Speaker 6: numbers of it, like how do you guys know about that?

1232
01:11:26,320 --> 01:11:29,519
Speaker 6: It's like it's pretty common, but a lot of people

1233
01:11:29,560 --> 01:11:31,400
Speaker 6: just don't know, So no.

1234
01:11:31,320 --> 01:11:34,200
Speaker 1: They don't. And it winds up that it winds up

1235
01:11:34,240 --> 01:11:39,040
Speaker 1: that you're acknowledging to landowners that like owning land, providing

1236
01:11:39,080 --> 01:11:42,280
Speaker 1: wildlife habitat. In some states it's actually measured by certain

1237
01:11:42,320 --> 01:11:46,200
Speaker 1: things you do to create to increase and create habitat.

1238
01:11:46,280 --> 01:11:49,880
Speaker 1: But it's like owning land is expensive, private land is

1239
01:11:49,960 --> 01:11:54,840
Speaker 1: vital to wildlife conservation. We're incentivizing landowners to be good

1240
01:11:54,880 --> 01:11:58,240
Speaker 1: stewards of the land by rewarding them for providing this

1241
01:11:58,320 --> 01:12:02,519
Speaker 1: habitat to a state resource. It all had like, you know,

1242
01:12:02,840 --> 01:12:04,880
Speaker 1: there's no case. You can't go to any case of

1243
01:12:04,920 --> 01:12:07,120
Speaker 1: any kind of tag allocation and point to it as

1244
01:12:07,200 --> 01:12:13,920
Speaker 1: being like completely self serving, counterproductive. Right, It's all things

1245
01:12:13,960 --> 01:12:20,680
Speaker 1: meant to lubricate, facilitate wildlife management in the country and

1246
01:12:20,720 --> 01:12:23,960
Speaker 1: find funding for wildlife resources and a problem with what's

1247
01:12:24,000 --> 01:12:26,519
Speaker 1: happening in Arizona. And again it blows my mind that

1248
01:12:26,560 --> 01:12:29,040
Speaker 1: they voted four to one to get rid of auction

1249
01:12:29,120 --> 01:12:33,639
Speaker 1: tags because the hope is that they're going to use

1250
01:12:33,640 --> 01:12:36,719
Speaker 1: it in raffles. So here's another tag thing. I always

1251
01:12:36,800 --> 01:12:40,559
Speaker 1: joined state raffles a bunch of them. You can put

1252
01:12:40,560 --> 01:12:43,160
Speaker 1: in for a tag, as everybody does, or you can

1253
01:12:43,160 --> 01:12:46,559
Speaker 1: buy raffle tickets. I just looked at one today. There's

1254
01:12:46,600 --> 01:12:49,080
Speaker 1: a raffle in Alaska right now. It's one hundred bucks

1255
01:12:49,240 --> 01:12:53,960
Speaker 1: per ticket and it's a full, all expense paid. It's

1256
01:12:53,960 --> 01:12:56,080
Speaker 1: a caribou tag that comes with guide, and so you

1257
01:12:56,120 --> 01:13:00,840
Speaker 1: get like caribou tags, guides and all that trip for

1258
01:13:00,880 --> 01:13:02,400
Speaker 1: two I didn't buy a ticket, but it's a hundred

1259
01:13:02,400 --> 01:13:05,800
Speaker 1: bucks for a ticket. Okay, it's gonna raise a ton

1260
01:13:05,840 --> 01:13:09,640
Speaker 1: of money for Alaska. But it's not an auction. It's

1261
01:13:09,720 --> 01:13:12,439
Speaker 1: a raffle. Meaning they're looking and saying I think people

1262
01:13:12,479 --> 01:13:14,479
Speaker 1: can that really want to get involved. I don't think

1263
01:13:14,479 --> 01:13:18,479
Speaker 1: a hundred bucks is prohibitive. There's other things where for

1264
01:13:18,600 --> 01:13:21,960
Speaker 1: five bucks a ticket you can try to get raffle tags,

1265
01:13:23,040 --> 01:13:25,200
Speaker 1: so in addition to the normal tag draw.

1266
01:13:25,160 --> 01:13:28,240
Speaker 4: So they think they can compensate for the loss of

1267
01:13:28,280 --> 01:13:30,599
Speaker 4: funds with a raffle that would raise as much money

1268
01:13:30,600 --> 01:13:33,320
Speaker 4: as that raise half a million dollars potentially for that

1269
01:13:33,360 --> 01:13:36,080
Speaker 4: one like bighorn tag or elk tag in Arizona.

1270
01:13:36,560 --> 01:13:40,200
Speaker 1: Well, let me this isn't apples and apples, but I'll

1271
01:13:40,200 --> 01:13:43,320
Speaker 1: give you an example of the power of raffles. So

1272
01:13:43,439 --> 01:13:46,840
Speaker 1: every year Jannis and I do that Theodore Roosevelt Conservation

1273
01:13:46,920 --> 01:13:51,360
Speaker 1: Partnership right Turkey Hunt giveaway. Yep, So we volunteer our time,

1274
01:13:52,080 --> 01:13:57,639
Speaker 1: a landowner volunteers their place, and we do a hunt

1275
01:13:57,720 --> 01:14:01,080
Speaker 1: with winners. So we used to do that hunt as

1276
01:14:01,120 --> 01:14:05,920
Speaker 1: an auction, okay, and it would be that the highest

1277
01:14:05,920 --> 01:14:09,519
Speaker 1: bidder would get a hunt for him and his buddy. Yeah.

1278
01:14:12,280 --> 01:14:17,519
Speaker 1: People were like disappointed in this because how can they compete?

1279
01:14:17,680 --> 01:14:21,280
Speaker 4: Yeah, they don't have ten twenty thousand, five thousand more.

1280
01:14:21,960 --> 01:14:26,080
Speaker 1: Okay, the people would pay, so like we kind of

1281
01:14:26,080 --> 01:14:28,920
Speaker 1: felt that right. It was like, yeah, maybe there's another

1282
01:14:28,960 --> 01:14:32,759
Speaker 1: way and it's more complicated, but we instituted a raffle hunt.

1283
01:14:32,840 --> 01:14:34,920
Speaker 1: And the thing about doing a raffle hunt by law,

1284
01:14:35,560 --> 01:14:37,640
Speaker 1: for that kind of raffle hunt, you don't you have

1285
01:14:37,680 --> 01:14:40,680
Speaker 1: to have a way for people to enter for free

1286
01:14:41,000 --> 01:14:45,280
Speaker 1: sweepstake's law, Like you can't do like those nonprofit giveaways

1287
01:14:45,280 --> 01:14:49,800
Speaker 1: about having a free option. Okay, Even despite that, when

1288
01:14:49,800 --> 01:14:52,679
Speaker 1: we went to when we went to a raffle, ten

1289
01:14:52,760 --> 01:14:57,400
Speaker 1: bucks gets you a ticket, we tripled the money. Really

1290
01:14:57,520 --> 01:15:01,000
Speaker 1: for TRCP, we tripled the money when we went from

1291
01:15:01,040 --> 01:15:01,920
Speaker 1: auction to raffle.

1292
01:15:03,479 --> 01:15:06,639
Speaker 2: How did you figure out the free way?

1293
01:15:07,880 --> 01:15:10,080
Speaker 1: He's got to go on some website and write some

1294
01:15:10,200 --> 01:15:12,800
Speaker 1: letter and send it in. We've never had a free

1295
01:15:12,920 --> 01:15:17,880
Speaker 1: entry win. It's a random draw, and as far as

1296
01:15:17,920 --> 01:15:19,880
Speaker 1: I know, we've never had a free entry win. I

1297
01:15:19,920 --> 01:15:21,000
Speaker 1: don't think anybody does it.

1298
01:15:21,160 --> 01:15:22,960
Speaker 2: Yeah, it's like ten bucks.

1299
01:15:23,680 --> 01:15:25,880
Speaker 1: I don't think anyone's really out there working that hard

1300
01:15:25,880 --> 01:15:27,320
Speaker 1: to try to avoid it, you know what.

1301
01:15:27,640 --> 01:15:31,720
Speaker 4: Like talking about the big auction tags, I would love

1302
01:15:31,760 --> 01:15:36,719
Speaker 4: to hear someone get like the most extreme but also

1303
01:15:36,880 --> 01:15:41,000
Speaker 4: intelligent case for why those auction tags are detrimental. I'd

1304
01:15:41,040 --> 01:15:44,920
Speaker 4: really like to hear that argument, because it's possible that

1305
01:15:45,040 --> 01:15:48,080
Speaker 4: stuff like this is shortsighted and it's like, yeah, we

1306
01:15:48,120 --> 01:15:50,439
Speaker 4: can get seven hundred thousand dollars for this tag today,

1307
01:15:50,760 --> 01:15:54,760
Speaker 4: But this is building this mechanism into the model that

1308
01:15:54,920 --> 01:15:58,200
Speaker 4: fifty years from now is going to turn into something

1309
01:15:58,400 --> 01:16:02,800
Speaker 4: crazy where all the big horn tags and wherever our

1310
01:16:03,000 --> 01:16:06,120
Speaker 4: our auction tags all of a sudden. That's that's because

1311
01:16:06,520 --> 01:16:09,240
Speaker 4: you know, I see both sides of it too, and

1312
01:16:09,640 --> 01:16:11,800
Speaker 4: at first I don't have any problem with it. I'm

1313
01:16:11,840 --> 01:16:15,600
Speaker 4: like one tag, one tag, let that one tag go

1314
01:16:15,760 --> 01:16:17,080
Speaker 4: to do this and.

1315
01:16:16,960 --> 01:16:17,879
Speaker 1: Build this culture.

1316
01:16:17,920 --> 01:16:22,439
Speaker 4: It also builds this sense of you know, hunting value,

1317
01:16:22,720 --> 01:16:25,639
Speaker 4: which is good for an animal like a big horn

1318
01:16:25,680 --> 01:16:27,599
Speaker 4: sheep that needs a lot of money, needs a lot

1319
01:16:27,600 --> 01:16:31,520
Speaker 4: of special care needs, a lot of hypercent sensitive management,

1320
01:16:31,600 --> 01:16:35,280
Speaker 4: transport and animals working on habitat depredation, all this stuff.

1321
01:16:35,880 --> 01:16:37,920
Speaker 4: But I would like to hear a guy that wasn't

1322
01:16:38,000 --> 01:16:40,400
Speaker 4: just mad about not getting to play because he didn't

1323
01:16:40,439 --> 01:16:44,080
Speaker 4: have the money. There's plenty. I mean, so you know

1324
01:16:44,160 --> 01:16:47,680
Speaker 4: the guy that's like just mad because some rich guy

1325
01:16:47,720 --> 01:16:49,840
Speaker 4: got it, I'd like to hear ineligion argument.

1326
01:16:49,960 --> 01:16:54,439
Speaker 1: I think it's the perception that you've pulled and Governor's

1327
01:16:54,439 --> 01:16:57,920
Speaker 1: takes are more than just big horns. It was like, yeah, tags, Yeah,

1328
01:16:57,920 --> 01:17:02,960
Speaker 1: there's Governor's tags for most of we to big game animals.

1329
01:17:04,240 --> 01:17:11,040
Speaker 1: I think it's that you've pulled an animal out of

1330
01:17:11,040 --> 01:17:15,839
Speaker 1: the public pool, or you've created a tag. You've created

1331
01:17:15,840 --> 01:17:19,200
Speaker 1: a tag in addition to the public pool. And if

1332
01:17:19,240 --> 01:17:21,280
Speaker 1: that's the case, you're like, well where did that come from?

1333
01:17:22,280 --> 01:17:25,560
Speaker 1: If we can kill that big horn in addition to

1334
01:17:25,600 --> 01:17:28,680
Speaker 1: the ones we're doing before, was it just arbitrary the

1335
01:17:28,760 --> 01:17:31,200
Speaker 1: number of tags that were available before. Yeah, so you're

1336
01:17:31,240 --> 01:17:34,400
Speaker 1: saying there's another tag, we can get another big horn,

1337
01:17:34,880 --> 01:17:39,280
Speaker 1: but that one's not available to working class people who

1338
01:17:39,280 --> 01:17:41,400
Speaker 1: are applying all their life and will never draw it.

1339
01:17:42,280 --> 01:17:44,639
Speaker 1: You're you're sort of out of the blue creating one

1340
01:17:44,840 --> 01:17:46,479
Speaker 1: for rich people to be able to go and kill me.

1341
01:17:46,560 --> 01:17:48,720
Speaker 1: Why to kill a dos a big horn? Why was

1342
01:17:48,760 --> 01:17:51,599
Speaker 1: it there before? Well, why can't I have a shot

1343
01:17:51,640 --> 01:17:54,479
Speaker 1: at it? And and and and again. It's just very

1344
01:17:54,520 --> 01:17:59,160
Speaker 1: surprising to me that this went four to one, especially

1345
01:17:59,160 --> 01:18:01,000
Speaker 1: the fact that it comes on a number of, like

1346
01:18:01,200 --> 01:18:04,080
Speaker 1: very coming on the on the tail of a bunch

1347
01:18:04,120 --> 01:18:09,280
Speaker 1: of very high profile auction record setting big game auctions.

1348
01:18:09,560 --> 01:18:14,240
Speaker 1: Right if it was in decline and you're seeing that

1349
01:18:14,320 --> 01:18:17,760
Speaker 1: the tags are devalued and pretty soon guys are buying

1350
01:18:17,800 --> 01:18:19,920
Speaker 1: the auction tag for one hundred thousand dollars, and you

1351
01:18:20,000 --> 01:18:22,200
Speaker 1: might go, like, you know what, man, it's not raising

1352
01:18:22,240 --> 01:18:25,400
Speaker 1: any money anymore. It's kind of lost, it's luster. It

1353
01:18:25,479 --> 01:18:28,200
Speaker 1: creates a lot of social tension. Why not get rid

1354
01:18:28,240 --> 01:18:30,960
Speaker 1: of it. It's weird that it like starts going up, up, up,

1355
01:18:31,120 --> 01:18:35,640
Speaker 1: up into insane amounts of conservation dollars and then they're like,

1356
01:18:36,479 --> 01:18:36,960
Speaker 1: then get.

1357
01:18:36,920 --> 01:18:40,080
Speaker 4: Well it kind of it's kind of the same trend

1358
01:18:40,120 --> 01:18:43,000
Speaker 4: that we see in society at all levels, that there's

1359
01:18:43,040 --> 01:18:45,280
Speaker 4: this scrutiny on the ultra wealthy.

1360
01:18:45,560 --> 01:18:48,559
Speaker 2: Yeah, but I think in this case there's like very

1361
01:18:48,600 --> 01:18:51,360
Speaker 2: specific examples too that feel kind of vicky. When it's

1362
01:18:51,400 --> 01:18:54,639
Speaker 2: like the Jimmy Johns founder, like he's had some bad

1363
01:18:54,680 --> 01:18:57,160
Speaker 2: hunting pr in the past, and you know it's him

1364
01:18:57,200 --> 01:18:59,439
Speaker 2: buying the tag and it's gonna like go on his

1365
01:18:59,560 --> 01:19:02,920
Speaker 2: wall of one hundred and fifty other animals, and I

1366
01:19:02,960 --> 01:19:05,479
Speaker 2: think for the folks that's just like a kind of gross.

1367
01:19:05,560 --> 01:19:08,000
Speaker 2: But if it was like a no named fella from Nevada,

1368
01:19:08,160 --> 01:19:10,479
Speaker 2: like I think one of those record breaking tags was

1369
01:19:11,600 --> 01:19:13,839
Speaker 2: that maybe doesn't sting as much to folks.

1370
01:19:14,479 --> 01:19:17,920
Speaker 1: And there's a hunting there's a hunting style that goes

1371
01:19:17,960 --> 01:19:20,479
Speaker 1: with the Governor tags that winds up being off putting

1372
01:19:20,479 --> 01:19:20,960
Speaker 1: the people.

1373
01:19:21,040 --> 01:19:24,080
Speaker 9: Where people all over the mountains, there's certain I don't

1374
01:19:24,080 --> 01:19:25,920
Speaker 9: want to get into names on this, but there's certain

1375
01:19:26,200 --> 01:19:30,400
Speaker 9: outfitting players that have really there's certain outfitting players that

1376
01:19:30,439 --> 01:19:31,559
Speaker 9: have played really heavy in the.

1377
01:19:31,479 --> 01:19:37,360
Speaker 1: Governor's Tag world. And they'll find animals, Okay, they'll put

1378
01:19:37,400 --> 01:19:43,000
Speaker 1: guys on them, monitor them around the clock, bring a

1379
01:19:43,040 --> 01:19:47,440
Speaker 1: guy in. The guy comes in, shows up, makes the shot,

1380
01:19:48,360 --> 01:19:52,000
Speaker 1: and it's kind of like there's a perception that they're

1381
01:19:52,040 --> 01:19:55,360
Speaker 1: not even hunting, yeah, like other people are doing it.

1382
01:19:55,360 --> 01:19:58,160
Speaker 1: It leads to you know, they're like there's a case

1383
01:19:58,240 --> 01:20:00,640
Speaker 1: where like, oh, they're blocking off row to try to

1384
01:20:00,640 --> 01:20:04,040
Speaker 1: impede access. They're harassing other hunters who are in the area.

1385
01:20:04,600 --> 01:20:06,960
Speaker 1: They're putting a guy on every hilltop to watch the

1386
01:20:07,000 --> 01:20:08,800
Speaker 1: animal to make sure no one else gets it. They're

1387
01:20:08,800 --> 01:20:10,880
Speaker 1: gonna spook it out of the way if someone else comes,

1388
01:20:10,880 --> 01:20:14,200
Speaker 1: blah blah blah. All this all this hysteria and they

1389
01:20:14,240 --> 01:20:17,240
Speaker 1: didn't even hunt it anyway, and so then it creates

1390
01:20:17,240 --> 01:20:20,240
Speaker 1: it kind of sours the whole thing. But it's like,

1391
01:20:20,560 --> 01:20:22,920
Speaker 1: do the big do the does the sheep habitat that

1392
01:20:23,000 --> 01:20:27,280
Speaker 1: the money helps? Does that sheep habitat care? How that

1393
01:20:27,320 --> 01:20:30,240
Speaker 1: guy conducted the hunt. They didn't break the law.

1394
01:20:32,160 --> 01:20:36,360
Speaker 2: That's Clay's uh journal about horse happiness.

1395
01:20:36,880 --> 01:20:37,280
Speaker 1: Mm hmm.

1396
01:20:37,880 --> 01:20:42,200
Speaker 4: Will hate the player, No, don't hate the don't hate

1397
01:20:42,200 --> 01:20:42,720
Speaker 4: the player hate.

1398
01:20:42,760 --> 01:20:44,960
Speaker 1: Don't hate the player, hate the game. And in this case,

1399
01:20:44,960 --> 01:20:46,760
Speaker 1: don't hate the player, hate the game. They hated the

1400
01:20:46,760 --> 01:20:49,320
Speaker 1: game and they got rid of the game. Well, I'm

1401
01:20:49,400 --> 01:20:50,719
Speaker 1: actually I'm I'm.

1402
01:20:50,680 --> 01:20:53,880
Speaker 4: Kind of pleased to see that it went towards like

1403
01:20:53,960 --> 01:20:59,400
Speaker 4: the vote was towards sure something that was more conservative

1404
01:20:59,520 --> 01:21:01,840
Speaker 4: you'd rather. I mean, like, what if they had voted

1405
01:21:01,920 --> 01:21:04,439
Speaker 4: to make six of the tags governor tags.

1406
01:21:04,960 --> 01:21:07,679
Speaker 1: That would be bad. We'd all be like, now, come well,

1407
01:21:07,840 --> 01:21:09,840
Speaker 1: I don't know that would be six times. That would

1408
01:21:09,840 --> 01:21:13,080
Speaker 1: be that there was sixty six million dollars going into

1409
01:21:13,160 --> 01:21:14,240
Speaker 1: WILDI I think that.

1410
01:21:14,200 --> 01:21:17,559
Speaker 4: Would tip the scales of public sentiment towards Wait a minute,

1411
01:21:17,560 --> 01:21:19,880
Speaker 4: this is getting out of hand. I mean, like, twenty

1412
01:21:19,920 --> 01:21:21,680
Speaker 4: years from now, it's gonna be they're all gonna be

1413
01:21:21,680 --> 01:21:24,479
Speaker 4: paid for it, you know. But but the one and

1414
01:21:24,520 --> 01:21:26,960
Speaker 4: that's where I would like to hear an intelligent argument

1415
01:21:27,040 --> 01:21:30,719
Speaker 4: of people that had insight, maybe even from other realms

1416
01:21:30,760 --> 01:21:33,639
Speaker 4: of society where there's like a slippery slope or something

1417
01:21:33,720 --> 01:21:35,880
Speaker 4: like twenty years from now, your kids are going to

1418
01:21:35,960 --> 01:21:37,960
Speaker 4: be you know, this is gonna happen.

1419
01:21:38,640 --> 01:21:41,599
Speaker 1: I was talking to a guy the other night, and

1420
01:21:41,640 --> 01:21:42,960
Speaker 1: I'd like to get him on the show. I'm not

1421
01:21:43,000 --> 01:21:44,680
Speaker 1: going to say who said this opinion to me, but

1422
01:21:44,760 --> 01:21:46,840
Speaker 1: I'm gonna articulated guy's opinion that I was talking to

1423
01:21:46,880 --> 01:21:48,439
Speaker 1: the other night. I'd like him to come on the show.

1424
01:21:49,560 --> 01:21:53,800
Speaker 1: He works in policy. He was viewing this as a

1425
01:21:53,840 --> 01:22:00,240
Speaker 1: sort of anti hunting movement, and he had an interesting fact.

1426
01:22:00,280 --> 01:22:09,439
Speaker 1: If he said anytime wildlife managers, commissions, whoever. Politicians are

1427
01:22:09,479 --> 01:22:13,000
Speaker 1: presented with a split and hunting, and there are some hunters.

1428
01:22:13,160 --> 01:22:16,120
Speaker 1: They're presented with two sides of an argument, and there

1429
01:22:16,120 --> 01:22:20,920
Speaker 1: are some hunters on each side. They will go with

1430
01:22:21,000 --> 01:22:26,680
Speaker 1: the anti hunting side, meaning let's say you're looking at

1431
01:22:26,920 --> 01:22:30,519
Speaker 1: a trap band, a public land trap band, and they're like, man,

1432
01:22:30,560 --> 01:22:36,439
Speaker 1: I don't want to piss off hunters and trappers. But

1433
01:22:36,520 --> 01:22:39,680
Speaker 1: then you get some hunters who are going to come

1434
01:22:39,720 --> 01:22:42,799
Speaker 1: and say, oh, I like that band because it's safer

1435
01:22:42,840 --> 01:22:46,800
Speaker 1: for my bird dog. That gives them cover. Yeah, and

1436
01:22:46,840 --> 01:22:53,360
Speaker 1: he says invariably, Invariably, the minute some hunters give cover

1437
01:22:53,960 --> 01:22:57,960
Speaker 1: to an anti hunting position, the politicians are going to

1438
01:22:58,040 --> 01:23:03,920
Speaker 1: go anti hunting because it places more people well, because

1439
01:23:03,920 --> 01:23:05,920
Speaker 1: that's the way they want to go, and they need

1440
01:23:05,960 --> 01:23:08,040
Speaker 1: to justify it. And the minute they can have all

1441
01:23:08,120 --> 01:23:11,960
Speaker 1: hunter to point to, they can tip that way and

1442
01:23:12,040 --> 01:23:15,760
Speaker 1: feel that they're not anti hunting. And he felt, and

1443
01:23:15,800 --> 01:23:18,160
Speaker 1: I don't even I don't like, I don't agree with him,

1444
01:23:18,160 --> 01:23:19,599
Speaker 1: but I want to have him on to talk about it.

1445
01:23:19,720 --> 01:23:24,360
Speaker 1: He feels that going away from governor's tags is a

1446
01:23:24,360 --> 01:23:28,400
Speaker 1: anti hunting sentiment, and I don't really know that I don't.

1447
01:23:28,439 --> 01:23:30,360
Speaker 1: I've been wrestling with that since he sat it to me,

1448
01:23:30,400 --> 01:23:33,120
Speaker 1: and I don't know that I agree with that. Hmmm.

1449
01:23:33,280 --> 01:23:34,760
Speaker 2: I don't think I agree with it, but I could

1450
01:23:34,800 --> 01:23:37,560
Speaker 2: be swayed, especially in like a kind of a famously

1451
01:23:37,640 --> 01:23:41,559
Speaker 2: purple state like Arizona, that maybe that is the case

1452
01:23:42,320 --> 01:23:43,040
Speaker 2: for some things.

1453
01:23:43,600 --> 01:23:47,920
Speaker 1: Mm hmm. I'd like to hear that argument. I want

1454
01:23:47,920 --> 01:23:49,519
Speaker 1: to have Mon. I want to have Mon to talk

1455
01:23:49,560 --> 01:23:54,080
Speaker 1: about that argument. Uh, you guys are right for two cheticos,

1456
01:23:54,720 --> 01:23:55,720
Speaker 1: they're gonna wrap it up.

1457
01:23:56,200 --> 01:23:58,800
Speaker 2: Are you gonna ask Phil about Disney? You think or not?

1458
01:23:58,960 --> 01:24:01,680
Speaker 1: I thought about asking the Disney, but I didn't know

1459
01:24:01,760 --> 01:24:04,439
Speaker 1: that Phil. I don't know that Phil could tell our

1460
01:24:04,479 --> 01:24:06,720
Speaker 1: listen theres anything about Disney they didn't already know.

1461
01:24:07,360 --> 01:24:08,759
Speaker 2: That's absolutely not true.

1462
01:24:09,280 --> 01:24:12,960
Speaker 1: Yeah, Phil took a day off on a live tour

1463
01:24:13,240 --> 01:24:16,280
Speaker 1: on the live too. We had a day off and Phil,

1464
01:24:17,880 --> 01:24:19,960
Speaker 1: was it even a day off? Phil? No, it wasn't.

1465
01:24:20,000 --> 01:24:23,120
Speaker 3: We had a show that night. Phil got up sort

1466
01:24:23,120 --> 01:24:24,880
Speaker 3: of like how Spencer woke up at five thirty to

1467
01:24:24,880 --> 01:24:26,639
Speaker 3: go rock counting this morning, I woke up at five

1468
01:24:26,720 --> 01:24:27,760
Speaker 3: thirty to go to a theme part.

1469
01:24:27,840 --> 01:24:32,519
Speaker 1: Phil spent set his alarm Okay, he set his alarm

1470
01:24:32,560 --> 01:24:38,240
Speaker 1: and woke up early to go by himself to Disney.

1471
01:24:38,520 --> 01:24:39,960
Speaker 1: And we had a lot of jokes about how they're

1472
01:24:39,960 --> 01:24:43,120
Speaker 1: probably gonna monitor Phil all day long with security, wondering

1473
01:24:43,200 --> 01:24:48,960
Speaker 1: why a single mail of his age would be at Disney.

1474
01:24:51,000 --> 01:24:53,040
Speaker 1: But he went. And what did you find out? Phil?

1475
01:24:53,840 --> 01:24:54,759
Speaker 1: You'd been there before?

1476
01:24:54,920 --> 01:24:57,960
Speaker 3: Yeah, probably around nine or ten times.

1477
01:24:58,840 --> 01:25:01,840
Speaker 1: How much does it cost to get in? Well, man,

1478
01:25:01,920 --> 01:25:04,640
Speaker 1: it is more more or less than a governor's day.

1479
01:25:05,479 --> 01:25:07,439
Speaker 3: Uh this, I mean, how much does it cost to

1480
01:25:07,439 --> 01:25:08,840
Speaker 3: get in? This is part this is part of the

1481
01:25:08,880 --> 01:25:11,720
Speaker 3: whole like corp corporate monopolistic stuff that comes in. It

1482
01:25:11,760 --> 01:25:13,360
Speaker 3: was a lot of money Clay for like one day

1483
01:25:13,360 --> 01:25:15,599
Speaker 3: at a theme park I think after like taxis shoes,

1484
01:25:15,640 --> 01:25:17,240
Speaker 3: it was like one hundred and fifty dollars.

1485
01:25:17,640 --> 01:25:20,479
Speaker 1: That corporate monopoly. What how do they have a monopoly?

1486
01:25:20,520 --> 01:25:23,320
Speaker 1: Of course there's theme park. Well, well it's not even

1487
01:25:23,360 --> 01:25:25,479
Speaker 1: just like Disney. Disney owns everything they've got, like like

1488
01:25:25,680 --> 01:25:29,560
Speaker 1: TV stations and networks and cruise ships and everything. But

1489
01:25:29,560 --> 01:25:31,920
Speaker 1: I'm just saying they find every way to milk as

1490
01:25:32,000 --> 01:25:34,080
Speaker 1: much money as they can, which is their right.

1491
01:25:34,240 --> 01:25:37,559
Speaker 4: As when he gets done talking about Disney, you feel

1492
01:25:37,560 --> 01:25:42,120
Speaker 4: like the government should take over Disney like the Russian Revolution.

1493
01:25:42,320 --> 01:25:46,000
Speaker 3: Absolutely not, I'm saying over the over the ten or

1494
01:25:46,000 --> 01:25:49,440
Speaker 3: fifteen years, Disney has been transforming their theme party experience

1495
01:25:49,479 --> 01:25:53,400
Speaker 3: to be anti consumer and anti guest by letting you

1496
01:25:53,479 --> 01:25:56,040
Speaker 3: pay more money to cut in lines, which they didn't.

1497
01:25:59,400 --> 01:26:02,320
Speaker 1: We did when my family went. We did the we

1498
01:26:02,360 --> 01:26:06,880
Speaker 1: did the rich people bought. We bought a thing to

1499
01:26:06,960 --> 01:26:07,559
Speaker 1: let us cut.

1500
01:26:08,840 --> 01:26:12,120
Speaker 3: And I think about you differently now. I was in

1501
01:26:12,120 --> 01:26:13,720
Speaker 3: my element. I had the time of my life.

1502
01:26:14,240 --> 01:26:14,840
Speaker 1: The long run.

1503
01:26:15,520 --> 01:26:19,960
Speaker 3: They're there, the two bummers, clay splash, Mountain, haunted mansion

1504
01:26:20,000 --> 01:26:22,800
Speaker 3: to to al Teimers shut down for renovation. That's that was.

1505
01:26:22,840 --> 01:26:23,719
Speaker 3: That was a bads.

1506
01:26:23,880 --> 01:26:25,920
Speaker 1: But Phil, did you buy the thing to let you cut?

1507
01:26:26,400 --> 01:26:26,479
Speaker 8: No?

1508
01:26:26,560 --> 01:26:26,920
Speaker 3: I did not.

1509
01:26:27,040 --> 01:26:29,439
Speaker 1: Can I tell you sometimes I want to tell you

1510
01:26:29,439 --> 01:26:31,720
Speaker 1: about why I bought the cut thing? Okay. I think

1511
01:26:31,760 --> 01:26:33,479
Speaker 1: if I talked to you about it and give you

1512
01:26:33,520 --> 01:26:36,719
Speaker 1: a little background, I think that you'll you won't dislike

1513
01:26:36,800 --> 01:26:37,200
Speaker 1: me as much.

1514
01:26:37,280 --> 01:26:40,479
Speaker 3: It wasn't like that you want me to respect you.

1515
01:26:42,160 --> 01:26:48,040
Speaker 1: It wasn't about I'll tell Phil about it in private

1516
01:26:48,120 --> 01:26:49,720
Speaker 1: later and I think he'll say, like, I think you

1517
01:26:49,760 --> 01:26:50,280
Speaker 1: did the right thing.

1518
01:26:50,400 --> 01:26:53,120
Speaker 4: Okay, I want to tell you about the Warner the

1519
01:26:53,840 --> 01:26:56,840
Speaker 4: Disney film that Warner Glenn start in.

1520
01:26:57,720 --> 01:26:58,639
Speaker 2: Can I just fill one last?

1521
01:26:58,680 --> 01:27:01,719
Speaker 4: Disney don't talk about I know when I just wanted

1522
01:27:01,760 --> 01:27:03,519
Speaker 4: to like put it in before we change subject.

1523
01:27:03,560 --> 01:27:06,360
Speaker 1: And I can't go into all the details we had discussed.

1524
01:27:06,360 --> 01:27:08,519
Speaker 2: I feel like since the last time you had been there, Phil,

1525
01:27:08,600 --> 01:27:13,479
Speaker 2: they had started allowing their characters to like, uh, look

1526
01:27:13,560 --> 01:27:15,840
Speaker 2: more like themselves in the real world, where they can

1527
01:27:15,840 --> 01:27:16,920
Speaker 2: have tattoos.

1528
01:27:17,720 --> 01:27:19,639
Speaker 3: Kind of like characters like you're not gonna see Aladdin

1529
01:27:19,680 --> 01:27:22,559
Speaker 3: with his full sleeve, but like their employees, like you

1530
01:27:22,560 --> 01:27:23,960
Speaker 3: can have piercing And.

1531
01:27:23,960 --> 01:27:27,160
Speaker 2: Did you did you witness that? Did it change the experience?

1532
01:27:27,200 --> 01:27:28,760
Speaker 3: I did didn't pay a whole lot of attention, But

1533
01:27:28,840 --> 01:27:33,080
Speaker 3: I would anybody care about that? Disney's hold over from

1534
01:27:33,120 --> 01:27:36,200
Speaker 3: a different era, Like Walt Disney was a very uptight

1535
01:27:36,320 --> 01:27:39,839
Speaker 3: sort of traditionalist, And they still don't even sell alcohol

1536
01:27:39,840 --> 01:27:41,680
Speaker 3: in the theme park, Like there's only one place you

1537
01:27:41,720 --> 01:27:43,240
Speaker 3: can get alcohol and that's at a bar in the

1538
01:27:43,280 --> 01:27:44,280
Speaker 3: Star Wars area.

1539
01:27:45,320 --> 01:27:50,680
Speaker 1: And and you found you feel that Disney is is

1540
01:27:52,000 --> 01:27:54,600
Speaker 1: gotten too big, and he's like they need to be

1541
01:27:54,680 --> 01:27:58,120
Speaker 1: like a mon like a like a Trustbuster, like they

1542
01:27:58,160 --> 01:28:02,360
Speaker 1: need to break Disney up. Kinda Yeah, but don't you

1543
01:28:02,400 --> 01:28:05,719
Speaker 1: realize that they that they they invented all that stuff.

1544
01:28:06,280 --> 01:28:08,040
Speaker 3: Yeah, Like I feel I feel there's a part of

1545
01:28:08,080 --> 01:28:10,360
Speaker 3: me that feels really gross going there. But like they're

1546
01:28:10,400 --> 01:28:13,080
Speaker 3: just masters of production design and putting on a show

1547
01:28:13,120 --> 01:28:17,920
Speaker 3: and like like transporting you somewhere else through sounds and

1548
01:28:17,960 --> 01:28:19,800
Speaker 3: smells and sight and stuff.

1549
01:28:20,240 --> 01:28:21,880
Speaker 1: It's like it's like our lives.

1550
01:28:21,280 --> 01:28:24,840
Speaker 3: It's just like our live show. Apologies to the woman

1551
01:28:24,840 --> 01:28:26,760
Speaker 3: who had a conversation with me after I stuffed my

1552
01:28:26,840 --> 01:28:29,000
Speaker 3: mouthful of sushi last night. That was that was a

1553
01:28:29,080 --> 01:28:30,280
Speaker 3: century experience for her.

1554
01:28:30,320 --> 01:28:31,000
Speaker 2: I'm sure.

1555
01:28:33,280 --> 01:28:34,559
Speaker 3: Anyway, Yeah, I had a blast.

1556
01:28:34,640 --> 01:28:40,800
Speaker 1: You had a blast. Fair to say that you hate. Yeah.

1557
01:28:40,880 --> 01:28:43,960
Speaker 3: I wouldn't consider myself a Disney adult because they're they're

1558
01:28:44,040 --> 01:28:46,480
Speaker 3: sort of like Disney can do no wrong. They're very apologetic,

1559
01:28:46,479 --> 01:28:48,600
Speaker 3: and they're kind of creepy. I I I I like

1560
01:28:48,640 --> 01:28:51,120
Speaker 3: to keep my arm's length away from those people. But

1561
01:28:51,200 --> 01:28:53,040
Speaker 3: I just I like I like the show. I like

1562
01:28:53,120 --> 01:28:55,160
Speaker 3: the like the theatricality of.

1563
01:28:55,080 --> 01:28:58,560
Speaker 1: The whole film. You're a critic, You're a critical.

1564
01:28:58,320 --> 01:28:59,400
Speaker 3: I'm a critic one hundred percent.

1565
01:28:59,520 --> 01:29:00,599
Speaker 1: Yeah, good for you.

1566
01:29:00,640 --> 01:29:03,960
Speaker 3: Phil Thanks, Spencer, Yeah, yeah, no, I got to go

1567
01:29:04,000 --> 01:29:09,080
Speaker 3: on a bunch of rides. No kids, no, no people

1568
01:29:09,120 --> 01:29:11,920
Speaker 3: like like Spencer and Clay to drag around. And even

1569
01:29:11,960 --> 01:29:13,559
Speaker 3: though I would have loved for you guys to come,

1570
01:29:13,600 --> 01:29:16,600
Speaker 3: I really wanted Clay to come to Frontierland with me

1571
01:29:16,680 --> 01:29:19,040
Speaker 3: and ride the Daivy Crocket can use to Tom Sawyer Island.

1572
01:29:20,120 --> 01:29:21,960
Speaker 3: But I thought he might say something like, oh, my

1573
01:29:22,120 --> 01:29:24,320
Speaker 3: culture is not your costume and then like punch me

1574
01:29:24,320 --> 01:29:27,599
Speaker 3: in the throat or something. I didn't want to deal.

1575
01:29:27,479 --> 01:29:29,760
Speaker 1: With that my culture is not Can you tell us

1576
01:29:29,760 --> 01:29:33,800
Speaker 1: the thing? What was the thing that most two questions? Yeah,

1577
01:29:33,840 --> 01:29:37,840
Speaker 1: most delighted you on your your mourning at Disney and

1578
01:29:37,920 --> 01:29:42,559
Speaker 1: what most irked you at your your morning at Disney.

1579
01:29:43,040 --> 01:29:45,320
Speaker 3: This is like, this is not good podcasting material because

1580
01:29:45,320 --> 01:29:48,680
Speaker 3: it's just like very deep, I disagree stuff, but.

1581
01:29:48,840 --> 01:29:51,040
Speaker 1: This is like this turned into therapy figure.

1582
01:29:51,040 --> 01:29:54,920
Speaker 3: Well, yes, somewhat. Rise of the Resistance a very state

1583
01:29:54,960 --> 01:29:57,120
Speaker 3: of the art and new Star Wars themed ride. Some

1584
01:29:57,160 --> 01:30:00,040
Speaker 3: of the special effects weren't working when the when the

1585
01:30:00,040 --> 01:30:02,280
Speaker 3: whole ride is based around these kind of like cool

1586
01:30:02,320 --> 01:30:06,200
Speaker 3: special effects, when two of them aren't working, I was disappointed.

1587
01:30:06,400 --> 01:30:08,800
Speaker 3: I was disappointed in that Kylo Ren's lightsaber didn't come

1588
01:30:08,800 --> 01:30:11,040
Speaker 3: through the ceiling. The cannons were moving back and forth.

1589
01:30:11,240 --> 01:30:14,120
Speaker 3: Real ones, write me, let me know what that that

1590
01:30:14,160 --> 01:30:17,839
Speaker 3: You understand what I'm saying, Indiana Jones. They made some

1591
01:30:17,840 --> 01:30:21,519
Speaker 3: some upgrades that the riders getting a little in there.

1592
01:30:21,600 --> 01:30:24,719
Speaker 3: Oh yeah, big cobra, that hiss is right at your face.

1593
01:30:24,920 --> 01:30:27,760
Speaker 3: Oh yeah, it was good, but they added some projections.

1594
01:30:28,800 --> 01:30:31,240
Speaker 3: That was the one line. I waited forty five minutes

1595
01:30:31,320 --> 01:30:32,800
Speaker 3: far as the longest I had to wait in line

1596
01:30:32,800 --> 01:30:35,000
Speaker 3: because I had to. I did single rider lines.

1597
01:30:34,880 --> 01:30:36,160
Speaker 1: Did like the working man's ticket.

1598
01:30:36,280 --> 01:30:38,400
Speaker 3: Yeah that's right. I waited forty five minutes in line.

1599
01:30:38,479 --> 01:30:41,639
Speaker 3: Nothing rich, you know, didn't have a VIP guide getting

1600
01:30:41,640 --> 01:30:43,760
Speaker 3: food for me and showing where the bathrooms were. I

1601
01:30:43,840 --> 01:30:46,720
Speaker 3: defined it myself like a real uh hard work, like

1602
01:30:46,720 --> 01:30:52,000
Speaker 3: a real American, like a pioneer, like Daniel Boone.

1603
01:30:52,600 --> 01:30:56,920
Speaker 2: Your Star Wars experience was like Yanni wanted for us

1604
01:30:56,960 --> 01:30:59,799
Speaker 2: to ask for some money back from our last hotel.

1605
01:31:00,160 --> 01:31:02,800
Speaker 2: Is they their hot water wasn't working, so he thought

1606
01:31:02,840 --> 01:31:04,320
Speaker 2: we were we were owed something.

1607
01:31:04,560 --> 01:31:07,200
Speaker 3: Yeah for that. I didn't. I didn't ask George because

1608
01:31:07,200 --> 01:31:10,240
Speaker 3: for money, my money back though my wife.

1609
01:31:10,080 --> 01:31:11,880
Speaker 1: Was recently in the hotel and they had messed up

1610
01:31:11,880 --> 01:31:14,040
Speaker 1: the bleach in the pool so bad that it bleached

1611
01:31:14,040 --> 01:31:17,320
Speaker 1: her swimsuit. And when she went up to notify him

1612
01:31:17,400 --> 01:31:22,200
Speaker 1: that it like, I mean, it bleached her swimsuit. What well,

1613
01:31:22,360 --> 01:31:24,360
Speaker 1: that's what she was curious about. And she went up

1614
01:31:24,400 --> 01:31:27,679
Speaker 1: there treating her like a big diva. It's just like, listen,

1615
01:31:27,840 --> 01:31:29,640
Speaker 1: look at my slipsuit. It bleached.

1616
01:31:31,880 --> 01:31:33,439
Speaker 3: Anyway, Thanks thanks for asking, Steve.

1617
01:31:33,560 --> 01:31:43,280
Speaker 1: Yeah, here's two chettikots ready for this. I am a

1618
01:31:43,360 --> 01:31:46,040
Speaker 1: law enforcement officer. This is a juicy one. That's not

1619
01:31:46,360 --> 01:31:49,400
Speaker 1: that's not the right word. It's juicy. I'm a law

1620
01:31:49,439 --> 01:31:52,960
Speaker 1: enforcement officer on a state forest which is open to

1621
01:31:53,040 --> 01:31:57,519
Speaker 1: hunting and fishing. A benefit to this job is I

1622
01:31:57,600 --> 01:32:03,200
Speaker 1: get to I get a take home truck which is marked.

1623
01:32:05,200 --> 01:32:09,639
Speaker 1: I also hunt the same areas I work. My boss

1624
01:32:09,680 --> 01:32:12,799
Speaker 1: has given me the okay to hunt before and after

1625
01:32:13,040 --> 01:32:19,320
Speaker 1: work out of the state truck. Hunting out of the

1626
01:32:19,439 --> 01:32:23,000
Speaker 1: state truck seems like an all around wind. I am

1627
01:32:23,080 --> 01:32:27,120
Speaker 1: much more able to respond to emergencies after hours when

1628
01:32:27,160 --> 01:32:29,960
Speaker 1: most of them occur, and I have more time to

1629
01:32:30,040 --> 01:32:33,360
Speaker 1: hunt because I don't have to go home and switch trucks.

1630
01:32:34,080 --> 01:32:37,439
Speaker 1: Seeing a law enforcement truck parked in the woods may

1631
01:32:37,479 --> 01:32:42,400
Speaker 1: deter illegal activity. Despite all this, I can't help but

1632
01:32:42,439 --> 01:32:47,639
Speaker 1: feel dirty about hunting out of the state truck, since

1633
01:32:47,680 --> 01:32:51,439
Speaker 1: some hunters may think I am targeting them specifically because

1634
01:32:51,479 --> 01:32:55,360
Speaker 1: they are hunting in quote my spot, or I am

1635
01:32:55,439 --> 01:32:59,519
Speaker 1: taking quote their spot. I am very careful to not

1636
01:33:00,080 --> 01:33:04,080
Speaker 1: hunt the same place as I have recently checked other hunters.

1637
01:33:05,080 --> 01:33:08,160
Speaker 1: It may also blow my spots out because other hunters

1638
01:33:08,240 --> 01:33:11,600
Speaker 1: often think I know all the best spots.

1639
01:33:12,360 --> 01:33:18,640
Speaker 2: What are your thoughts, he says, seeing a law enforcement

1640
01:33:18,640 --> 01:33:21,560
Speaker 2: truck parked in the woods made deter illegal activity. I

1641
01:33:21,600 --> 01:33:24,320
Speaker 2: think it would just deter activity in general. Even of

1642
01:33:24,520 --> 01:33:27,559
Speaker 2: like a law abiding fella. If you were like coming

1643
01:33:27,600 --> 01:33:31,160
Speaker 2: down you saw a law enforcement vehicle a trailhead, you

1644
01:33:31,760 --> 01:33:34,320
Speaker 2: could imagine all sorts of things are like taking place there.

1645
01:33:34,439 --> 01:33:36,559
Speaker 1: They're like, body, yeah, I.

1646
01:33:36,479 --> 01:33:38,639
Speaker 2: Think I'll just go hunt somewhere else. So I think,

1647
01:33:38,960 --> 01:33:41,640
Speaker 2: not just illegal activity, activity in general, folks are going

1648
01:33:41,680 --> 01:33:42,240
Speaker 2: to avoid you.

1649
01:33:43,560 --> 01:33:46,679
Speaker 4: I think it's kind of the same story of an

1650
01:33:46,720 --> 01:33:50,680
Speaker 4: outfitter not hunting in their outfitting concession.

1651
01:33:51,680 --> 01:33:52,439
Speaker 1: It's kind of it's.

1652
01:33:52,400 --> 01:33:54,840
Speaker 4: Kind of double dipping, even though the guy probably has

1653
01:33:55,000 --> 01:33:58,519
Speaker 4: pure motives. The guy's probably legit. It really wouldn't do

1654
01:33:58,560 --> 01:34:03,599
Speaker 4: any harm, but there's just too many, too many over

1655
01:34:04,479 --> 01:34:06,360
Speaker 4: I wouldn't do it because I feel like it would

1656
01:34:06,400 --> 01:34:09,400
Speaker 4: expose me to more scrutiny than I would want.

1657
01:34:10,720 --> 01:34:11,040
Speaker 1: Hmm.

1658
01:34:11,320 --> 01:34:14,680
Speaker 4: I just feel like I feel like in his community,

1659
01:34:15,439 --> 01:34:18,040
Speaker 4: it'd be hard to justify. I mean, because it's like

1660
01:34:18,040 --> 01:34:20,040
Speaker 4: you're having to explain to people, well, it's okay for

1661
01:34:20,160 --> 01:34:23,160
Speaker 4: me to use the company truck on my private time

1662
01:34:23,200 --> 01:34:25,760
Speaker 4: because that's part of my contract and that may not

1663
01:34:25,880 --> 01:34:27,120
Speaker 4: be a part of some I mean, there's just all

1664
01:34:27,160 --> 01:34:32,880
Speaker 4: these little fine details. I think it's I don't think

1665
01:34:32,880 --> 01:34:34,959
Speaker 4: it's the highest I don't think it's taken.

1666
01:34:34,760 --> 01:34:35,679
Speaker 1: The highest road.

1667
01:34:37,160 --> 01:34:39,680
Speaker 4: But you hate to hate to fault the guy for

1668
01:34:39,720 --> 01:34:42,320
Speaker 4: having to go to like a different county to hunt either. Like,

1669
01:34:42,360 --> 01:34:44,160
Speaker 4: I think he's a good guy. I don't think he's

1670
01:34:44,160 --> 01:34:46,840
Speaker 4: trying to cheat the system. But I don't I think

1671
01:34:46,880 --> 01:34:53,120
Speaker 4: it's a it's it's there's a little little drama in.

1672
01:34:53,080 --> 01:34:54,840
Speaker 2: There, maybe down on public land.

1673
01:34:55,520 --> 01:34:57,960
Speaker 4: What you take, Chili, Well, I mean he's on public land, right, No.

1674
01:35:00,840 --> 01:35:04,920
Speaker 6: I mean, if you if you're of the mindset where

1675
01:35:04,960 --> 01:35:07,719
Speaker 6: you don't feel like you have to explain yourself to everyone,

1676
01:35:07,760 --> 01:35:09,760
Speaker 6: like if you got the clearance, like whose business? Like

1677
01:35:09,800 --> 01:35:11,880
Speaker 6: it's it's not, it's like who am I to go

1678
01:35:11,920 --> 01:35:13,519
Speaker 6: up to him and be like, well can you do this?

1679
01:35:13,960 --> 01:35:14,200
Speaker 6: You know?

1680
01:35:14,920 --> 01:35:15,280
Speaker 1: I don't.

1681
01:35:15,400 --> 01:35:17,240
Speaker 6: I think I'd be totally fine with it if I

1682
01:35:17,280 --> 01:35:19,200
Speaker 6: was a game warden FWP.

1683
01:35:19,720 --> 01:35:21,439
Speaker 4: But what if you were hunting then you saw this

1684
01:35:21,520 --> 01:35:24,639
Speaker 4: game warden coming out hunting all these spots, I'd.

1685
01:35:24,439 --> 01:35:25,160
Speaker 1: Be like, good for him.

1686
01:35:25,760 --> 01:35:29,040
Speaker 3: Yeah, I mean again, like it's not.

1687
01:35:30,800 --> 01:35:32,519
Speaker 6: It's just one of those things that like I wouldn't

1688
01:35:32,600 --> 01:35:35,280
Speaker 6: personally ask questions about it. Yeah, I mean, like I'd

1689
01:35:35,280 --> 01:35:37,479
Speaker 6: see him and I'd probably just do see his truck

1690
01:35:37,520 --> 01:35:39,360
Speaker 6: and be like, Okay, well he's hunting, so I'm gonna

1691
01:35:39,360 --> 01:35:42,120
Speaker 6: go to the next spot. And then but like to

1692
01:35:42,200 --> 01:35:45,240
Speaker 6: your point, which you when you capped off everything, you know,

1693
01:35:45,920 --> 01:35:48,240
Speaker 6: the only reservation I do have about it, Like if

1694
01:35:48,280 --> 01:35:51,519
Speaker 6: it were me, would be like, okay, well, if I'm

1695
01:35:51,520 --> 01:35:53,640
Speaker 6: a game war everyone probably thinks I know where the

1696
01:35:53,680 --> 01:35:56,040
Speaker 6: game's at, and they probably have a better idea than

1697
01:35:56,080 --> 01:35:58,200
Speaker 6: most people where game's at. So I would be a

1698
01:35:58,240 --> 01:36:01,880
Speaker 6: little bit conservative about going out where a lot of

1699
01:36:01,880 --> 01:36:04,519
Speaker 6: people have access to you, because if that's like my

1700
01:36:04,600 --> 01:36:07,200
Speaker 6: honey hoole. I'd be concerned about other people want to

1701
01:36:07,280 --> 01:36:10,479
Speaker 6: hunt there, ye, But anything outside of that, I'd say,

1702
01:36:11,320 --> 01:36:11,880
Speaker 6: go for it.

1703
01:36:11,960 --> 01:36:19,960
Speaker 1: Yeah, personally, mhmm. For the next one, what's Here's what

1704
01:36:20,000 --> 01:36:25,200
Speaker 1: I do. I'd take your regular rig and park it

1705
01:36:25,320 --> 01:36:30,040
Speaker 1: out at the entrance. Just leave it there, drive the

1706
01:36:30,080 --> 01:36:34,280
Speaker 1: take home truck whatever. When you hunt, pull out, park

1707
01:36:34,320 --> 01:36:36,280
Speaker 1: the work rig out of the entrance to the forest,

1708
01:36:37,000 --> 01:36:39,400
Speaker 1: at the office or whatever, hop in your take hop

1709
01:36:39,439 --> 01:36:41,519
Speaker 1: in your regular rig and hunt. You don't need to

1710
01:36:41,560 --> 01:36:43,920
Speaker 1: go all the way home. Leave the regular rig out there.

1711
01:36:44,640 --> 01:36:48,000
Speaker 1: You got a rig sitting somewhere anyway. Yeah, if you're

1712
01:36:48,040 --> 01:36:49,920
Speaker 1: going home and you need to go do something, it's

1713
01:36:50,000 --> 01:36:54,200
Speaker 1: not your take home responsibility, park that truck and jump

1714
01:36:54,200 --> 01:36:59,640
Speaker 1: in the other truck. But as far as you hunting, now,

1715
01:37:00,880 --> 01:37:04,600
Speaker 1: I'm like, listen, man, I'm off in a whole other area.

1716
01:37:04,800 --> 01:37:06,680
Speaker 1: And I know I'm not telling them whether it's right

1717
01:37:06,760 --> 01:37:08,080
Speaker 1: or wrong. I'm telling him how just to make it

1718
01:37:08,120 --> 01:37:08,919
Speaker 1: a non issue.

1719
01:37:10,000 --> 01:37:12,280
Speaker 4: But then he's still using his own personal gas to

1720
01:37:12,320 --> 01:37:15,439
Speaker 4: go drive. When you know that that's the thing. He

1721
01:37:15,439 --> 01:37:17,400
Speaker 4: gets a take home truck, it means he can drive

1722
01:37:17,439 --> 01:37:19,120
Speaker 4: that truck wherever that's pretty big perk.

1723
01:37:19,479 --> 01:37:22,519
Speaker 1: Okay, but if you're worried about it, yeah, park a

1724
01:37:22,560 --> 01:37:25,439
Speaker 1: quad runner. His wife is like, drive the state park,

1725
01:37:25,479 --> 01:37:28,240
Speaker 1: your can Am park, whatever the hell, park your regular rig,

1726
01:37:28,800 --> 01:37:32,679
Speaker 1: park your whatever, your normal rig, I don't know, park

1727
01:37:32,760 --> 01:37:34,840
Speaker 1: something at that thing. And then when you when you

1728
01:37:34,880 --> 01:37:38,040
Speaker 1: switch the hunt mode, go grab your rig. In terms

1729
01:37:38,080 --> 01:37:39,880
Speaker 1: of hunting where you work, dude, it's like, come on,

1730
01:37:39,920 --> 01:37:42,519
Speaker 1: you can't you know not the It's like, you work there,

1731
01:37:42,640 --> 01:37:45,040
Speaker 1: that's great, it's public land, Go hunt it. Yeah you

1732
01:37:45,080 --> 01:37:47,240
Speaker 1: can't be like, well, I'm not. It's not right for

1733
01:37:47,280 --> 01:37:49,240
Speaker 1: me to hunt around where I work. I mean, come on,

1734
01:37:50,520 --> 01:37:52,200
Speaker 1: if you worry about the truck, if you worry about

1735
01:37:52,200 --> 01:37:54,200
Speaker 1: the perceptions of the truck, just leave a different rig

1736
01:37:54,200 --> 01:37:56,680
Speaker 1: out there. Yeah. I haven't been there, so I'd have

1737
01:37:56,680 --> 01:37:57,760
Speaker 1: to go over there and look for him and show

1738
01:37:57,800 --> 01:38:01,320
Speaker 1: them where I think I choose your park. I'm just

1739
01:38:01,360 --> 01:38:03,599
Speaker 1: making the assumption that works right for this one.

1740
01:38:03,640 --> 01:38:05,639
Speaker 2: This next one doesn't even seem like a moral question.

1741
01:38:05,680 --> 01:38:08,240
Speaker 2: It seems like a legallant read it first, Yeah.

1742
01:38:08,200 --> 01:38:10,599
Speaker 1: You're right, he's thinking he's thinking morals when he should

1743
01:38:10,640 --> 01:38:12,599
Speaker 1: be thinking about getting himself in a lot of trouble.

1744
01:38:12,720 --> 01:38:13,679
Speaker 2: Yeah, okay, good.

1745
01:38:15,040 --> 01:38:18,760
Speaker 1: Dear meat eater. I have lived in southern Utah for

1746
01:38:18,840 --> 01:38:22,920
Speaker 1: the last few years. I previously lived in Idaho and

1747
01:38:23,000 --> 01:38:27,120
Speaker 1: have a valid Idaho driver's license. I just moved to

1748
01:38:27,160 --> 01:38:30,360
Speaker 1: the Utah side of the Utah Idaho border, and in

1749
01:38:30,439 --> 01:38:35,519
Speaker 1: doing so renewed my combination license in Idaho, using my

1750
01:38:35,680 --> 01:38:40,240
Speaker 1: Idaho driver's license to purchase it as a resident. I

1751
01:38:40,320 --> 01:38:47,320
Speaker 1: also have a current resident combination license in Utah. My

1752
01:38:47,439 --> 01:38:53,479
Speaker 1: question for you is would it be unethical to listen? Buddy,

1753
01:38:54,200 --> 01:39:01,479
Speaker 1: sincerely A concern hunter. Okay, you have on you have

1754
01:39:01,600 --> 01:39:04,040
Speaker 1: on your hands, Just a simple black and white issue

1755
01:39:04,080 --> 01:39:07,920
Speaker 1: of call fishing game. I don't care which state you

1756
01:39:07,960 --> 01:39:10,240
Speaker 1: want to call it in Idaho or Utah and say, hey,

1757
01:39:10,280 --> 01:39:13,080
Speaker 1: how many states can I hunt as a resident in

1758
01:39:13,280 --> 01:39:18,839
Speaker 1: anyone given time and see what they say. The answer

1759
01:39:18,880 --> 01:39:20,160
Speaker 1: you will get is one.

1760
01:39:21,760 --> 01:39:23,439
Speaker 2: And states don't mess around to that. It's like tag

1761
01:39:23,560 --> 01:39:25,479
Speaker 2: draw season right now. When you go to log in

1762
01:39:25,520 --> 01:39:28,280
Speaker 2: to apply for a tag somewhere, the first question from

1763
01:39:28,320 --> 01:39:30,360
Speaker 2: every state asks you, like, are you a resident?

1764
01:39:30,479 --> 01:39:34,519
Speaker 1: You swear on your first or child? Yeah, yeah, you

1765
01:39:34,600 --> 01:39:37,400
Speaker 1: got that, And it's like and here's their thing. If

1766
01:39:37,400 --> 01:39:40,960
Speaker 1: you get into the fine print. They spell out what

1767
01:39:41,040 --> 01:39:44,960
Speaker 1: a resident is in very clear detail, and it will

1768
01:39:44,960 --> 01:39:47,760
Speaker 1: be in a level of detail that exceeds that of

1769
01:39:47,800 --> 01:39:51,599
Speaker 1: which it requires to have a driver's license. There is

1770
01:39:51,680 --> 01:39:54,920
Speaker 1: no room if you look at what they mean when

1771
01:39:54,920 --> 01:39:57,400
Speaker 1: they say you're a resident. There is no room for

1772
01:39:57,439 --> 01:40:01,760
Speaker 1: you to even plausibly suggest you're of both states. A

1773
01:40:01,920 --> 01:40:05,759
Speaker 1: driver's being in possession of a driver's license that hasn't

1774
01:40:05,800 --> 01:40:09,320
Speaker 1: been punched or devalidated does not make you a legal

1775
01:40:09,360 --> 01:40:11,479
Speaker 1: resident of a state. It just means that you have

1776
01:40:11,479 --> 01:40:15,280
Speaker 1: a driver's license in your pocket. Mm hmm. It's like

1777
01:40:15,400 --> 01:40:18,320
Speaker 1: emblematic of residency, but that does not make a resident.

1778
01:40:22,720 --> 01:40:23,639
Speaker 2: He didn't leave his name.

1779
01:40:26,600 --> 01:40:29,200
Speaker 1: Listen, buddy, I'm not mad at you. You did the

1780
01:40:29,280 --> 01:40:33,439
Speaker 1: right thing by asking, but yeah, just be careful. I

1781
01:40:33,439 --> 01:40:35,800
Speaker 1: wouldn't even be walking. I wouldn't if I was you,

1782
01:40:36,439 --> 01:40:39,360
Speaker 1: I would figure out what is what and go back

1783
01:40:39,400 --> 01:40:43,360
Speaker 1: and and and clear it up and give that tag

1784
01:40:43,479 --> 01:40:46,360
Speaker 1: back and clarify that you shouldn't be in possession of it. Yeah,

1785
01:40:46,400 --> 01:40:49,000
Speaker 1: because you don't even want to be holding resident tags

1786
01:40:48,960 --> 01:40:51,280
Speaker 1: from two states. Whether or not you validate him on

1787
01:40:51,320 --> 01:41:12,479
Speaker 1: an animal or not. Thanks everybody.

1788
01:41:06,800 --> 01:41:17,280
Speaker 10: Getting colder on the water, weather man, since it's gone raining,

1789
01:41:19,280 --> 01:41:20,439
Speaker 10: pier up the men.

1790
01:41:20,400 --> 01:41:27,440
Speaker 2: Cooda, I'm a trap. My rider never trust his word.

1791
01:41:29,280 --> 01:41:31,519
Speaker 10: Anyway.

1792
01:41:32,360 --> 01:41:36,679
Speaker 5: Hit the bast pro shop on my way through town,

1793
01:41:38,760 --> 01:41:47,200
Speaker 5: Rousters and panthers. It's going down, hamme down that boat rounch.

1794
01:41:47,880 --> 01:41:53,280
Speaker 1: Water up to my sin, fish hop biting.

1795
01:41:54,760 --> 01:41:55,839
Speaker 5: Real man.

1796
01:41:59,479 --> 01:42:01,880
Speaker 1: Able work week gets a sin?

1797
01:42:05,720 --> 01:42:06,960
Speaker 2: Where is my live?

1798
01:42:07,160 --> 01:42:08,000
Speaker 1: Begame?

1799
01:42:12,040 --> 01:42:18,560
Speaker 5: Locket praying for the wind? The fish shyp bidon.

1800
01:42:20,120 --> 01:42:25,480
Speaker 2: Real Amen, showing.

1801
01:42:25,280 --> 01:42:28,160
Speaker 1: This line here for hours.

1802
01:42:29,439 --> 01:42:36,479
Speaker 5: My realis shit and my rig won't spend. Got the

1803
01:42:36,560 --> 01:42:44,560
Speaker 5: Blue Mountains two devours the fish sharp bidon.

1804
01:42:46,000 --> 01:42:47,000
Speaker 7: Real man.

1805
01:42:49,920 --> 01:42:53,160
Speaker 5: Ffty five hour work week gets a scent?

1806
01:42:57,000 --> 01:42:57,639
Speaker 1: Where is my.

1807
01:42:57,920 --> 01:42:59,280
Speaker 5: Live big game?

1808
01:43:03,320 --> 01:43:05,839
Speaker 1: Lorna, keep praying for a wind?

1809
01:43:08,040 --> 01:43:11,519
Speaker 3: It's all bod real?

1810
01:43:11,760 --> 01:43:18,280
Speaker 5: Many five hour work weeks a sin?

1811
01:43:22,240 --> 01:43:24,440
Speaker 1: Where's my life begain?

1812
01:43:28,600 --> 01:43:34,679
Speaker 2: Lorna, keep praying for a wind? The fist at bat.

1813
01:43:36,560 --> 01:43:36,880
Speaker 7: Real?

1814
01:43:39,680 --> 01:43:46,080
Speaker 3: Where's abod this?

1815
01:43:46,439 --> 01:43:47,000
Speaker 1: Aboy?

1816
01:43:52,320 --> 01:44:00,240
Speaker 10: W's somebody fish allbody.

1817
01:44:01,840 --> 01:44:02,160
Speaker 1: Real?

1818
01:44:02,240 --> 01:44:07,759
Speaker 10: Amazing a song