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Speaker 1: This is me eat your podcast coming at you shirtless,

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Speaker 1: severely bug bitten in my case, underwear listening to podcast.

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Speaker 1: You can't predict anything presented by first, like creating proven

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Speaker 1: versatile hunting apparel from Marino bass layers to technical outerwear

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Speaker 1: for every hunt. First like go farther, stay longer. Hey, folks,

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Speaker 1: Janice patelis from Meat Eater Here. I'm going to Nashville,

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Speaker 1: Tennessee here in a couple of weeks, and I need

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Speaker 1: your help. I'm going down there to record some turkey stories.

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Speaker 1: I need your help to help me find the best

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Speaker 1: turkey storytellers that you know. Okay, I'm gonna be down

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Speaker 1: there every day of the convention February. We're gonna be

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Speaker 1: in Dorsey of Ryman's studio. There's gonna be signage there

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Speaker 1: directing you how to get there, so you can take

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Speaker 1: your friend or your grandpa or maybe yourself there to

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Speaker 1: me and record a turkey story with me. Remember, it

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Speaker 1: doesn't necessarily have to be about turkey hunting. It could

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Speaker 1: be about the relationships that we get from turkey hunting,

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Speaker 1: something that happened before our turkey hunt, wherever it might be.

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Speaker 1: I just want to get it recorded. I think this

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Speaker 1: is a great opportunity for us as hunters to record

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Speaker 1: some of our oral history that is such a great

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Speaker 1: part of hunting, and uh, get it recorded, so we

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Speaker 1: have it forever years down the line will be able

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Speaker 1: to look at and go, hey, remember what it was

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Speaker 1: like back in so Nashville, Tennessee, February eighth. We have

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Speaker 1: room open for walkins. If you want to sign up

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Speaker 1: ahead of time, go to the meat eater dot com

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Speaker 1: forward slash Turkey story sign up and you can get

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Speaker 1: a time slot there so you don't have to try

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Speaker 1: to beat the rush when we're all down there hanging

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Speaker 1: out at the Turkey Convention. Thanks in advance. Holy smokes,

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Speaker 1: we got maybe we got a lot to pack in.

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Speaker 1: Right now, we are joined by one want to repeat customer,

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Speaker 1: repeat guests, quite possibly the most repeated guests. No, I

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Speaker 1: think half the finger wins that. No, No, I don't

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Speaker 1: even think it's happening. Carmen. How many times have you

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Speaker 1: been on? You've been on four times, twice in Seattle

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Speaker 1: and twice here now. Yeah, she's old school. Man. When

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Speaker 1: we said podcast in your garage, yeah, man, when we

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Speaker 1: used to hang the shipping, those shipping do we have

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Speaker 1: the shipping blankets hung up everywhere? I don't remember that.

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Speaker 1: I was more distracted by how immaculate your garage that

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Speaker 1: ain't change, has not changed. So Carmen van Bianci is back, Um,

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Speaker 1: and you got you gotta you have a proposal. You

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Speaker 1: have a pitch. Yeah, I got a pitch today. Uh,

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Speaker 1: just what I remember, Just so everyone remembers, Carmen is

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Speaker 1: a recreational hunter, but a professional wildlife researcher. And her

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Speaker 1: pitch to you all, you gotta dig deep. This is

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Speaker 1: gonna be like the Jerry Lewis telethon that's dated. Do

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Speaker 1: you know what I'm talking about? Want to say Jerry

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Speaker 1: Lewis telethon because we're Jerry's kids. There's a joke behind that.

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Speaker 1: But yeah, you gotta keep that one in your pocket.

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Speaker 1: Um also joined, So we we're gonna get to We're

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Speaker 1: gonna get the Carmen's pitch and you guys got there.

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Speaker 1: Everybody's got to dig deep in their wallets and help

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Speaker 1: her out. And if you happen to own a snowmobile company,

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Speaker 1: you'll want to pay particular attention because this wildlife research

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Speaker 1: project needs your assistance. Also joined by uh probably the

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Speaker 1: pre eminent YouTube stars, the pre eminent YouTubers on YouTube,

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Speaker 1: like these are the guys that that like that Mr

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Speaker 1: Beest found his inspiration problem your beast and end. No. No,

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Speaker 1: he was like, he was like, I'd like to be

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Speaker 1: like that, but I'm not. I can't trap beavers like that,

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Speaker 1: So I'm gonna oddly exploitative stuff exactly. And I too

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Speaker 1: oddly exploitative stuff where I act like I'm being magnanimous,

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Speaker 1: but I'm kind of a little bit being exploited under

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Speaker 1: the guys of charity, I guess, you know, uh um,

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Speaker 1: you know, you know, I talking about how a lot

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Speaker 1: of like how people that like to hunt are always

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Speaker 1: disappointed in Disney movies, you know, because they'd be like

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Speaker 1: a hunter in there and he's where he's from the South,

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Speaker 1: you know, he's like ignorant. Yeah, uh um. And I

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Speaker 1: was saying that that I like to watch Adventure Time

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Speaker 1: with my kids because an Adventure Time their house is

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Speaker 1: full of taxidermy and they sleep under animal skins. Um.

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Speaker 1: It's just it's very like it's it's got all the

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Speaker 1: They even have like skinned out ducks and stuff that

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Speaker 1: they sleep under, but they sleep under animal hides. And

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Speaker 1: I like that show. They kind of did a goof

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Speaker 1: on Um. They did a little bit of a goof

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Speaker 1: on that genre of YouTube video where they they have

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Speaker 1: a large pile of treasure and they take some of

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Speaker 1: their treasure and they go to these uh goji berries

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Speaker 1: house and use their money to get these goji berries

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Speaker 1: to do They go exploit them with their money, and

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Speaker 1: the goji berries have a hard time saying no, oh,

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Speaker 1: they're personified animated goji berry. I can explain. I'm talking

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Speaker 1: of course about Chris and Ken Carlson from both they

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Speaker 1: have a duel like uh dual channels both things that

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Speaker 1: are very interesting to me. In the woodyard, which chronicles

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Speaker 1: their wood chopping exploits and out of the woodyard where

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Speaker 1: they're not in the woodyard. You're easily entertained, aren't you, everybody?

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Speaker 1: I showed you? Okay, So we have a we have

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Speaker 1: a we have a person at uh you know people

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Speaker 1: have seen her just been on the show. We have

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Speaker 1: an employee, Tracy Um who I'm I want to say

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Speaker 1: she could give her rat's ass about wood chopping and

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Speaker 1: beaver trapping. Um, but she did go and get realed

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Speaker 1: into rock picking and picked all the rocks, like would

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Speaker 1: go to a ranchers go to a ranch assuming they

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Speaker 1: didn't want rocks right impeding with the growth of their grass.

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Speaker 1: Sounds like my wife, and she did. She picks. She

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Speaker 1: personally picked enough rocks for a giant chimney and giant

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Speaker 1: patio and stuff. So that might so I can't say

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Speaker 1: that she wouldn't give a rat's ass about it, but

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Speaker 1: I was introduced. I was like, you have to watch

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Speaker 1: these guys, okay, and she said it was She said

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Speaker 1: the same thing Crincesett where it's like, what's the thing

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Speaker 1: where you listen to people playing with beads and ship?

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Speaker 1: Yea auto sensory motor stimulation? Is that right? Something you could?

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Speaker 1: You could watch these guys for dates. It's unbelievable, Like

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Speaker 1: I never thought, like hours of my life and go

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Speaker 1: no watching people. Plouse was the I was like, you

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Speaker 1: have to watch and so I was like, you just

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Speaker 1: check it out, just watch for a second. So she

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Speaker 1: starts watching it around the phone and person realized we've

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Speaker 1: been on the phone together not saying any of the

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Speaker 1: pretends to me. It's like the world, Oh, I need

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Speaker 1: to correct myself. A SMRs is autonomous sensory meridian response.

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Speaker 1: What did you say it was auto sensory motor response.

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Speaker 1: Is there where you get that tingly feeling in your head? Ye,

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Speaker 1: you can get it that way. You can get it

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Speaker 1: by with Karin's um pheasant foot, Yeah, pheasant foot head tickler.

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Speaker 1: You can. It's like slow TV that we've we've talked

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Speaker 1: a little bit about on this show. But it's I

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Speaker 1: think that's it's kind of the same thing. Sounds A

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Speaker 1: lot of people like listening to this. The dueling chainsaws

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Speaker 1: go over well, you know, stuff like that, the sound

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Speaker 1: of the spud hitting the ice splitter, you know, when

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Speaker 1: this when the wood cracks, you know, it's a cool sound.

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Speaker 1: My daughter, who wants nothing to do with it, helped

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Speaker 1: film one day for me and she said, that's really interesting,

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Speaker 1: just listening to the sound of the wood split. And

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Speaker 1: she said, I can listen to that all day. Get

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Speaker 1: a lot of that from a lot of people. It's weird.

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Speaker 1: So we're gonna we're gonna dig in. We're gonna do

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Speaker 1: Carmen's big, big push where everyody's gonna dig deep in

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Speaker 1: their pockets and there's there's something in it for you.

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Speaker 1: I'm talking to the listener adjest to carry it up first.

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Speaker 1: We gotta we gotta get into a couple of things, um,

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Speaker 1: some feedback issues. Someone had an interesting point. I'm not

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Speaker 1: gonna spend a ton of time on this guy. I

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Speaker 1: feel like they're being a little nitpicky. Jesse Griffiths on

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Speaker 1: episode four or five of the podcast, Jesse Griffiths was

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Speaker 1: bitching and moaned about the term dry brin um on

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Speaker 1: the grounds that it was an inaccurate fad term for

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Speaker 1: a process that already had multiple names, including dry rub

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Speaker 1: and pre seasoning. His words, but also that's like kind

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Speaker 1: of an oxymoron, right, It's like like Brian is liquid.

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Speaker 1: So he's like, when you're dry brining, why are you

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Speaker 1: not putting a dry rub on it? Why are you

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Speaker 1: not preseasoning it? And someone rolled in to say, if

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Speaker 1: you're really going to be I'm putting words in this

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Speaker 1: individual's mouth owen. He says, if you're really gonna be

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Speaker 1: like getting down to the NAT's ass on all this stuff.

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Speaker 1: He said that Jesse should consider this pre is generally

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Speaker 1: a totally unnecessary prefix. Well, you preheat oven, you're just

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Speaker 1: heating it. If you submit a pre proposal for a grant.

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Speaker 1: It's a proposal. Preseasoning would fall into the same category.

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Speaker 1: You're just seasoning it. That's all good point, unless, of course,

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Speaker 1: there's more seasoning that happens later. I could shoot a

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Speaker 1: thousand holes in what this guy is saying. I don't

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Speaker 1: even agree with this. Then it's like your seasoning, your

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Speaker 1: seasoning again, and then you're seasoning again. I don't agree

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Speaker 1: with them. I don't agree with them at all. We

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Speaker 1: had this conversation today about refried beans, like they're fried

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Speaker 1: beans m And I was like, no, because you keep

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Speaker 1: reheating them, and that's like reframing, Like that's not what

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Speaker 1: they mean. No, they're just fried beans. So I think

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Speaker 1: that preheating is that you're it's like you're heating it.

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Speaker 1: Pre cook pre seasoning would be most people, Like most

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Speaker 1: of my life, you'd have cooked a steak then put

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Speaker 1: seasoning on it. But now days you put it on

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Speaker 1: there and let's sit there for an hour to integrate.

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Speaker 1: So you're like, you know, I get I get, I

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Speaker 1: get where he's coming from, but I just want to

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Speaker 1: share that another good bit of feedback. Uh, this guy

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Speaker 1: was just pointing out a thing that's pretty interesting. I

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Speaker 1: recently heard Steve recount a story about a twenty dollar

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Speaker 1: squirrel dog by recently. He means he was listening to

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Speaker 1: an old episode, but I remember what he's talking about.

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Speaker 1: A squirrel dog sold for twenty dollars, and we thought

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Speaker 1: that was worth mentioning. Um. He says. It reminded me

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Speaker 1: of an FBI sting operation called Operation Get This Big

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Speaker 1: Coon Dog. You google it and it checks out Operation

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Speaker 1: Big Coon Dog. He says, I used to live in

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Speaker 1: a small coal town called Grundy, Virginia. Grundy is basically

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Speaker 1: two extremely tight valleys with rivers running through it. It

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Speaker 1: would be them due to topography. Grundy floods regularly, and

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Speaker 1: sometimes it's biblical. One of these epic flood events happened

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Speaker 1: about twenty years ago. FEMA came in and declared the

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Speaker 1: area disaster, and the FEDS provided millions of dollars for cleanup. Somehow,

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Speaker 1: the local politicians got FEMA to allow elected fish officials

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Speaker 1: to divvy up the money to local contractors for the

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Speaker 1: clean up. The problem is that the politicians took bribes

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Speaker 1: for the contracts. No, the first time that ever happened. Hey,

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Speaker 1: that that's a I was, you know, what's funny about

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Speaker 1: this is that the thing right now, um Zelenski in

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Speaker 1: Ukraine just dismissed a lot of senior officials for playing

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Speaker 1: a similar game with all the aid flooding into Ukraine.

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Speaker 1: I don't know if they're doing it for coon dogs.

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Speaker 1: But so here's how the FBI caught wind of it.

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Speaker 1: A guy that didn't normally win coon hunting tournaments starts

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Speaker 1: winning a lot of coon hunting tournaments. And he's a politician.

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Speaker 1: He's a politician, and he just comes out of the blue,

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Speaker 1: all of a sudden, he's got some sweet coon dogs

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Speaker 1: and starts cleaning up on raccoons. Okay, they reported that

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Speaker 1: it was suspicious the timing of him getting these high

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Speaker 1: test coon dogs, and it wound up that this individual

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Speaker 1: took as a bribe a forty thousand bucks and coon dogs.

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Speaker 1: They wound up, the FBI wound up busting him in

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Speaker 1: several other individuals for this graft. Then he goes on

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Speaker 1: to say Grundy has flooded several times since and FEMA

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Speaker 1: has denied them relief based on the local government's antics

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Speaker 1: during Operation Big Coon. That doesn't seem fair to the people.

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Speaker 1: Some people did prison time for this. Yeah, well I

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Speaker 1: don't believe. I don't know that I believe that part. Like,

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Speaker 1: I don't think that they would be like you'd have

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Speaker 1: a guy commit fraud or you know, take accept the

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Speaker 1: bribe so bad that he goes to jail and your

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Speaker 1: town floods again, and Feme was like, not this time,

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Speaker 1: fool me once, Shame on you. Like I just I

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Speaker 1: don't know, I believe everything else, he says. Wikipedia page

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Speaker 1: says sixteen people we're convicted of criminal charges. But what's

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Speaker 1: messed up is that some of those people that it said, well,

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Speaker 1: he says in his letter that after they went to prison,

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Speaker 1: they were reelected the most global community at him that

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Speaker 1: that feels American. The bribes feel American, just not distinctly American.

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Speaker 1: It feels human fem of being like next time you're

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Speaker 1: on your own, buddy. I don't know. I don't know. Um,

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Speaker 1: this one's interesting. I'm not gonna get into it. Well,

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Speaker 1: I'm not gonna get into his landowners will cover this

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Speaker 1: more because we circle background of this landowners winning a

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Speaker 1: suit about trespassing deer dogs. You see where this is going,

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Speaker 1: Like guys go hunt with their deer dogs and like

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Speaker 1: a strategy, and this, this is always, This is always

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Speaker 1: if I was a high if I was a dear

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Speaker 1: dog hunter, I would be self policing because this winds

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Speaker 1: up being the number one grievance against people who hunt

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Speaker 1: deer with dogs where it's legal, is that you're basically

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Speaker 1: the a lot. I'm not saying everybody, it's a common

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Speaker 1: practice to be well, I know that I can't run

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Speaker 1: into that guy's property and chase the deer out, but

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Speaker 1: I'll wait on the edge and send my dogs in,

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Speaker 1: which is like, you know, that's like the number one

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Speaker 1: point of contention about it. They do. My friend dog

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Speaker 1: talks about it. Yeah, they're like, well I can't go on,

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Speaker 1: I can't go over there, but I mean we'll not

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Speaker 1: just we'll stand on the edge and you can well

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Speaker 1: oh sorry, it happens. Yeah, unlegally you're allowed to go

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Speaker 1: retrieve your dogs once they've gone on to that problem. Yeah,

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Speaker 1: that's one of them gray areas kind of kind of

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Speaker 1: abused things. So as we're covering a later episode with

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Speaker 1: a lot of detail, um, this these landowners one of

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Speaker 1: things saying like yeah, man, you can't you can't use

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Speaker 1: your dogs to spook to send them in and spook

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Speaker 1: the game off our property. It's kind of like you

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Speaker 1: being there. But we'll cover that later. Carmen, you ready, Okay,

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Speaker 1: tell people what's going on? Uh? Do you want me

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Speaker 1: to back up a little bit and just talk about

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Speaker 1: the project all the way up? All? Right? Well? Uh? So?

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Speaker 1: Soll what you do for a living, I'm a wildlife biologist.

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Speaker 1: I've been UM working in the field for I guess

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Speaker 1: or twenty years almost now, UM and about a year

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Speaker 1: a little over a year ago, a couple of colleagues

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Speaker 1: of my and I started our own wildlife research nonprofit

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Speaker 1: and one of our our bigger projects that we're really

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Speaker 1: diving into now is looking at links and wildfire in

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Speaker 1: the North Cascades of Washington. So in the North Cascades

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Speaker 1: of Washington, we've got what's an endangered population of links.

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Speaker 1: Listen is threatened elsewhere in the lower forty eight, but

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Speaker 1: in Washington they're listed as endangered. And that's in large

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Speaker 1: part because of UM, this just blow up of wildfires

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Speaker 1: that we've had in the past fifteen to twenty years.

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Speaker 1: So during that time, because of about a hundred hundred

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Speaker 1: fifty years of fire suppression UM in all over in

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Speaker 1: the West, but you know, we're focusing on the North Cascades.

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Speaker 1: Has allowed a build up of fuels on the landscape

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Speaker 1: basically and what what used to be regulated just by

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Speaker 1: nature with uh frequent spotty, really pyro diverse, meaning burns

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Speaker 1: that um that burned with a lot of textures. So

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Speaker 1: they're they're skipping little places there, burning really hot in

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Speaker 1: some places, they're reburning some other places. They're burning at

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Speaker 1: a lower intensity in some places, meaning they're leaving behind

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Speaker 1: trees with live crown, but they're consuming understory. So these

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Speaker 1: these more historic fires that would just sort of uh

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Speaker 1: spot off every summer and break up the landscape, we're

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Speaker 1: really important for a couple of reasons. One, they created

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Speaker 1: this just incredible patchwork of really rich, diverse habitat out

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Speaker 1: there in the North Cascades. But they also created a

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Speaker 1: sort of a um self feedback loop wherein the fires

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Speaker 1: that were happening one year, we're sort of um dampening

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Speaker 1: the effects of future subsequent fires because they're sort of

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Speaker 1: by fire creating natural fire breaks on the lamps. So

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Speaker 1: you had you had more of a mosaic, continuous mosaic

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Speaker 1: of fire activity rather than like what exactly. Yes, that's

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Speaker 1: the perfect noise to describe it. So so keep that

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Speaker 1: in mind. That's the historic fire regime that we used

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Speaker 1: to have. That's also the historic landscape, this patchy mosaic

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Speaker 1: that links in the North Cascades evolved in Okay. So

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Speaker 1: fast forward in time. Now we've got a hundred fifty

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Speaker 1: years of fire suppression, so putting out all those fires

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Speaker 1: that would have naturally started from lightning and things every summer,

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Speaker 1: and you know, doing it with good intention. We're trying

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Speaker 1: to save the forest. This sort of thing that allowed

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Speaker 1: our forests to basically um even out into a mono

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Speaker 1: crop of of trees, and and we lost that um

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Speaker 1: not only diversity, um that mosaic of habitats, but we

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Speaker 1: lost that self feedback loop. So all of a sudden,

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Speaker 1: it's a continuous swath of tinder ready to go. And

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Speaker 1: so that landscape of um high fuels and continuous fuels

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Speaker 1: then meets hotter, drier, longer summers, and in the early

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Speaker 1: two thousands we start to have what we're calling mega fires,

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Speaker 1: which are fires that burn over a hundred thousand acres

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Speaker 1: um and we've had fires that are much bigger than that,

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Speaker 1: and they're just ripping through those forests, um cooking it

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Speaker 1: right down to the dirt, cooking it down to the

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Speaker 1: dirt with so trending towards um less pyrodiversity, so higher

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Speaker 1: severity overall. And so they're leaving behind these giant burn

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Speaker 1: scars of um highly high severity burn. So we're losing

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Speaker 1: not only texture because we're not just getting these smaller

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Speaker 1: spotty fires all over, but we're losing texture because these

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Speaker 1: giant fires that are coming through are doing so and

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Speaker 1: it just more evenly high severity. We're losing those little

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Speaker 1: fire skips. We're losing the sort of um just the

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Speaker 1: richness of a of a patchwork that would be left behind.

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Speaker 1: And so where links come into this is that in

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Speaker 1: the in the early two thousand's when we were starting

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Speaker 1: to learn about links habitat, which just as a little

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Speaker 1: sidebar is in a nutshell, links eat snowshoe hairs primarily,

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Speaker 1: that's most of their diet, snowshoe hairs. Uh live in

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Speaker 1: forests that have a high stem density. And what I

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Speaker 1: mean by that is they're they're living in thick forests

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Speaker 1: with stems branches that are low to the ground, offering

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Speaker 1: them food and shelter from from predators. Yeah, fresh growth

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Speaker 1: or or old growth where you've got that sort of

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Speaker 1: multilayered forests and big branches that reach down to the ground.

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Speaker 1: So when we are learning about links habitat in the

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Speaker 1: early two thousands, we're doing so against this backdrop of

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Speaker 1: what's been a really fire excluded landscape for hud hundred

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Speaker 1: fifty years. And so the palette of of links of

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Speaker 1: habitat that links have to choose from is mostly unburned,

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Speaker 1: a couple of little burns here and there. Now fast forward,

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Speaker 1: you know, fifteen years, and we've had these these mega

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Speaker 1: fires torching hundreds of thousands of acres a year, and

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Speaker 1: all of a sudden, most of our are are a

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Speaker 1: lot of our links habitat, most of our prime link

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Speaker 1: links habitat is mostly burned, very little unburned. And so

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Speaker 1: we needed to know yesterday, in my opinion, how links

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Speaker 1: are reacting to this completely different menu of of habitats

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Speaker 1: out there. Um In that's when they were uplisted to

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Speaker 1: endangered in the state because of these fires, because sort

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Speaker 1: of the rule of the um is that recent large

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Speaker 1: burns aren't hair habitat, aren't links habitat um. And so

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Speaker 1: with the uptick in these fires, naturally there's a lot

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Speaker 1: of concern um. So our research is going to start

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Speaker 1: uh picking apart and learning the ins and outs of

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Speaker 1: how they're using this this new really burned landscape and

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Speaker 1: they are using that. And we know that because we're

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Speaker 1: the field biologists and we've been out there for long

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Speaker 1: enough to see a change in the landscape and regenerating burns,

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Speaker 1: seeing the links go, seeing them come back, and starting

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Speaker 1: to notice patterns of um okay within say this, you know,

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Speaker 1: fifteen year old burn scar. There are places that they're

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Speaker 1: starting to be able to use, places meaning um uh well,

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Speaker 1: different different types of regenerating burned habitat because it's regenerating

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Speaker 1: uh with some texture that we would hope to see,

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Speaker 1: like fire skips and places where whatever the growing conditions

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Speaker 1: are allow thicker trees to be coming up. Um. And

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Speaker 1: that's really exciting to see. I was out there I

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Speaker 1: guess six years ago now in the winter snowmobiling, just

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Speaker 1: servying for for tracks with another local biologists, and we

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Speaker 1: saw very few snowshoe hair tracks and no links tracks.

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Speaker 1: Well last year, well, let's say a couple of years ago,

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Speaker 1: I started to notice more links tracks in this burnt scar.

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Speaker 1: Last year, we went out five times just to do

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Speaker 1: some pilot work and we marked i think fifty seven

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Speaker 1: sets of links tracks within that same burn that years

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Speaker 1: ago only had zero. So I'm not not that that's

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Speaker 1: fifty seven links, but that's a that's a lot of activity,

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Speaker 1: and including we saw tracks from you know, a female

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Speaker 1: with kittens, females with kids, people came to eat exactly. Yeah,

383
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Speaker 1: the grocery store is coming back, and so that's really

384
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Speaker 1: exciting and it tells me that we have this opportunity,

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Speaker 1: that really golden opportunity to learn what burned habitats Links

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Speaker 1: can use. And that is important for conservation because if

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00:25:08,480 --> 00:25:11,480
Speaker 1: we know the best of the burned habitats that they

388
00:25:11,480 --> 00:25:14,800
Speaker 1: can use and the sort of the arrangement of those habitats,

389
00:25:15,520 --> 00:25:19,359
Speaker 1: we can start getting in there to do forest treatments

390
00:25:19,400 --> 00:25:25,200
Speaker 1: that will reinstate that historic patchwork, reinstate that negative feedback loop,

391
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Speaker 1: and try to get wrangle in these these mega fires,

392
00:25:30,320 --> 00:25:33,639
Speaker 1: which is a win win for Links because uh, we're

393
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Speaker 1: if we know what the best of the burnt habitats

394
00:25:37,640 --> 00:25:41,440
Speaker 1: they're using are, we can craft these forest treatment plans

395
00:25:41,920 --> 00:25:47,719
Speaker 1: to not only be UM reducing fuels, but also you know,

396
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Speaker 1: leaving the right arrangements and amounts of burned habitat for

397
00:25:51,359 --> 00:25:57,119
Speaker 1: links that are there today, and we're saving habitats so

398
00:25:57,200 --> 00:26:02,760
Speaker 1: that moving forward, we're we're lessening the risk of these

399
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Speaker 1: huge mega fires coming in. I imagine that links aren't

400
00:26:07,080 --> 00:26:10,920
Speaker 1: the only creators that benefit, that's right, That's yeah. That's

401
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Speaker 1: one of the things that really interests me in this

402
00:26:14,440 --> 00:26:17,480
Speaker 1: research is that this isn't links tell a really good story.

403
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Speaker 1: They tell a story for a lot of the other

404
00:26:20,040 --> 00:26:23,640
Speaker 1: um animals that live on that landscape, and they tell

405
00:26:23,680 --> 00:26:29,480
Speaker 1: the story of our local fier ecology. UM. But this

406
00:26:29,560 --> 00:26:33,000
Speaker 1: is more than just you know, trying to save our

407
00:26:33,040 --> 00:26:37,040
Speaker 1: our links habitat and thus our links population, which that's important,

408
00:26:37,520 --> 00:26:41,000
Speaker 1: but it's also just about reining in these these mega

409
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Speaker 1: fires to the benefit of the landscape, to the benefit

410
00:26:43,440 --> 00:26:46,800
Speaker 1: of you know, our community which has just been you know,

411
00:26:46,880 --> 00:26:51,280
Speaker 1: breathing piece soup for smoke in the summers. And so

412
00:26:51,359 --> 00:26:56,120
Speaker 1: it's UM it's more than just trying to UM get

413
00:26:56,119 --> 00:26:59,440
Speaker 1: a handle on links conservation, although that's that's very important,

414
00:26:59,720 --> 00:27:03,679
Speaker 1: it's also just about restoring UM a more balanced fier

415
00:27:03,720 --> 00:27:18,600
Speaker 1: ecology to our area. Yeah, so that's research. Yeah. To

416
00:27:18,720 --> 00:27:23,479
Speaker 1: do all that research takes a lot and and it

417
00:27:23,520 --> 00:27:29,000
Speaker 1: takes a lot of dedicated field work and UM that

418
00:27:29,040 --> 00:27:32,919
Speaker 1: means time every day during our winter field seasons and

419
00:27:32,920 --> 00:27:37,920
Speaker 1: our summer field seasons out in the back country UM

420
00:27:37,960 --> 00:27:40,600
Speaker 1: collecting data so that we can, you know, in a

421
00:27:40,720 --> 00:27:45,240
Speaker 1: in a scientific framework, learn about their habitat selection. And

422
00:27:45,280 --> 00:27:49,840
Speaker 1: so our two main data streams are one, we're ropping

423
00:27:49,840 --> 00:27:52,600
Speaker 1: around on snowmobiles in the back country in the winter,

424
00:27:52,960 --> 00:27:58,160
Speaker 1: deep snow environments, UM looking for tracks. When we find

425
00:27:58,200 --> 00:28:00,840
Speaker 1: tracks from links, we jump off our lets, put on

426
00:28:00,880 --> 00:28:04,280
Speaker 1: our snowshoes, and we start following them. And we're documenting

427
00:28:04,600 --> 00:28:09,560
Speaker 1: not only their behavior whether they're hunting um or making

428
00:28:09,600 --> 00:28:12,480
Speaker 1: a kill a snowcial hair kill, but we're also documenting

429
00:28:12,880 --> 00:28:17,639
Speaker 1: their habitats that they're selecting. Because you guys know cats

430
00:28:17,720 --> 00:28:20,359
Speaker 1: from from hunting and trapping, they're making a really fine

431
00:28:20,400 --> 00:28:24,200
Speaker 1: scale selection. You might see them UM opt to go

432
00:28:24,600 --> 00:28:28,600
Speaker 1: you know, between two trees rather than around them, you know,

433
00:28:28,640 --> 00:28:32,160
Speaker 1: to they like those little covery spots, and so they're

434
00:28:32,160 --> 00:28:36,880
Speaker 1: making these really fine scale habitats selection choices as they're

435
00:28:36,920 --> 00:28:40,440
Speaker 1: moving around to optimize their chance of finding food, and

436
00:28:40,480 --> 00:28:44,360
Speaker 1: so we can buy backtracking them, document that really fine

437
00:28:44,400 --> 00:28:49,400
Speaker 1: scale habitat selection um and start learning like, Okay, they

438
00:28:49,440 --> 00:28:52,760
Speaker 1: like a little fire skip and they like that fire skip,

439
00:28:53,080 --> 00:28:56,960
Speaker 1: especially if it's surrounded by you know, low intensity burn

440
00:28:57,160 --> 00:29:00,480
Speaker 1: and along a you know, a stream court or do

441
00:29:00,520 --> 00:29:04,320
Speaker 1: you guys always backtracking not forward track. We backtracked because

442
00:29:05,280 --> 00:29:08,000
Speaker 1: exactly we don't want to be influencing their behavior because

443
00:29:08,480 --> 00:29:13,880
Speaker 1: they don't Yeah, they don't move all that far during

444
00:29:13,880 --> 00:29:16,600
Speaker 1: the day. Estimates range from like you know, one to

445
00:29:16,800 --> 00:29:20,400
Speaker 1: maybe eight kilometers a day, So it's it's if you're

446
00:29:20,400 --> 00:29:23,280
Speaker 1: on a fresh track, you could easily you know, be

447
00:29:23,360 --> 00:29:26,160
Speaker 1: bumping them. So we always where he wants to be. Yeah,

448
00:29:26,520 --> 00:29:28,520
Speaker 1: when you find one where they've killed a snowsh your

449
00:29:28,560 --> 00:29:30,040
Speaker 1: hair is just a little bit of blood on snow.

450
00:29:30,920 --> 00:29:34,520
Speaker 1: It's typically maybe a little bit of blood a piece

451
00:29:34,600 --> 00:29:36,960
Speaker 1: of the hide from their back and you can often

452
00:29:37,040 --> 00:29:42,320
Speaker 1: see like, um, the hemorrhaging around the puncture wounds there, um,

453
00:29:42,400 --> 00:29:46,760
Speaker 1: and then maybe a foot and some guts. Oh no,

454
00:29:47,040 --> 00:29:48,480
Speaker 1: I mean, have you ever seen like a house cat

455
00:29:48,520 --> 00:29:50,920
Speaker 1: And they'll bring in um guts in the head of

456
00:29:50,920 --> 00:29:53,960
Speaker 1: a mouse or whatever. They'll eat the head though. They'll

457
00:29:54,000 --> 00:30:00,240
Speaker 1: eat the head, yeah, nobody wants that. Like chewed up twigs, Yeah,

458
00:30:00,280 --> 00:30:06,160
Speaker 1: I got you. Stomach content, stomach contents yeah yeah, yeah,

459
00:30:06,760 --> 00:30:09,880
Speaker 1: anything left on and uh, you used to feed the

460
00:30:09,920 --> 00:30:13,160
Speaker 1: dogs beaver. The only thing they don't eat is the

461
00:30:13,200 --> 00:30:15,240
Speaker 1: contents of the guts. They'll even eat the gut if

462
00:30:15,240 --> 00:30:17,200
Speaker 1: they get really hugger, but just say a ball or

463
00:30:17,280 --> 00:30:20,040
Speaker 1: chewed up sawdas, they don't want to. Yeah, but they'll

464
00:30:20,080 --> 00:30:23,000
Speaker 1: eat everything else. Yeah. Cats are pretty particular about that.

465
00:30:23,080 --> 00:30:25,400
Speaker 1: If you go to a cougar kill or a bobcat kill,

466
00:30:25,760 --> 00:30:30,920
Speaker 1: one of the first things they'll often do is pluck that, um,

467
00:30:30,960 --> 00:30:32,960
Speaker 1: you know, the room and contents the room and out

468
00:30:33,240 --> 00:30:35,560
Speaker 1: and sort of set that aside. They don't they don't

469
00:30:35,560 --> 00:30:38,000
Speaker 1: want that, do They go after internal organs right away.

470
00:30:38,240 --> 00:30:42,560
Speaker 1: That's one of the first things. Yeah, yeah, liver, the heart,

471
00:30:42,680 --> 00:30:45,560
Speaker 1: all of that, and that's that's a really nutritious And

472
00:30:45,560 --> 00:30:48,920
Speaker 1: so you can actually sort of age, um, well, if

473
00:30:48,920 --> 00:30:51,880
Speaker 1: you're doing like a kill site investigation, you can tell

474
00:30:52,640 --> 00:30:55,240
Speaker 1: what I don't I don't think there's any official name

475
00:30:55,280 --> 00:30:57,360
Speaker 1: for it, but I call it an early carcass scat,

476
00:30:57,880 --> 00:31:03,040
Speaker 1: And so it's the ship basically from their first feeding

477
00:31:03,800 --> 00:31:06,160
Speaker 1: and when they're eating just pure organs and just a

478
00:31:06,200 --> 00:31:12,240
Speaker 1: little and muscle um, they're scat is like black and

479
00:31:12,400 --> 00:31:16,200
Speaker 1: tari and um. Anyway, so you can tell that was

480
00:31:16,240 --> 00:31:18,080
Speaker 1: an early carcass s cat. So if I'm going to

481
00:31:18,120 --> 00:31:19,800
Speaker 1: a kill site for work and I see an early

482
00:31:19,840 --> 00:31:22,440
Speaker 1: carcass cat, I start to get excited because it means

483
00:31:22,440 --> 00:31:24,200
Speaker 1: there might be a kill there and then a late

484
00:31:24,200 --> 00:31:27,240
Speaker 1: carcass I'm guessing would be a lot more former hair,

485
00:31:27,320 --> 00:31:30,160
Speaker 1: a lot more just bone fragments. Yeah, exactly. And with

486
00:31:30,240 --> 00:31:34,360
Speaker 1: wolves it's pretty cool because the breeder male and female,

487
00:31:35,160 --> 00:31:37,160
Speaker 1: they'll get pick of the carcass, and so they're the

488
00:31:37,200 --> 00:31:39,560
Speaker 1: ones eating those organs, and so you can somewhat tell

489
00:31:40,440 --> 00:31:42,520
Speaker 1: if it's an early carcass scat. You you've got a

490
00:31:42,520 --> 00:31:45,080
Speaker 1: pretty good idea that if the whole pack was there,

491
00:31:45,080 --> 00:31:48,880
Speaker 1: that that was probably one of the breeders. A little

492
00:31:48,920 --> 00:31:52,080
Speaker 1: tracking info, that's great. So heavy with the second day

493
00:31:52,120 --> 00:31:55,760
Speaker 1: to stream, Okay, the second day to stream is catching him,

494
00:31:55,840 --> 00:32:00,360
Speaker 1: that's right, yep. So um, so the backtrack king is

495
00:32:00,440 --> 00:32:05,760
Speaker 1: really great. Um, fine scale habitat selection. You're learning cool

496
00:32:05,800 --> 00:32:09,240
Speaker 1: things about your animal and their behavior. I think it's

497
00:32:09,280 --> 00:32:13,400
Speaker 1: just a great way for biologists to stay grounded and

498
00:32:13,520 --> 00:32:16,720
Speaker 1: what's happening out there in the field. You're learning your animal,

499
00:32:17,040 --> 00:32:21,240
Speaker 1: you're seeing patterns. Um. I just yeah, I believe in

500
00:32:21,280 --> 00:32:23,920
Speaker 1: it from from that stance as well as it just

501
00:32:24,000 --> 00:32:28,640
Speaker 1: being great data. But it's super labor intensive data, um,

502
00:32:28,720 --> 00:32:30,800
Speaker 1: and so you're you're only gathering so much of it.

503
00:32:31,080 --> 00:32:35,000
Speaker 1: So a wonderful way to complement that is with GPS

504
00:32:35,080 --> 00:32:39,719
Speaker 1: caller data. That's that's going to give us, you know,

505
00:32:40,000 --> 00:32:42,800
Speaker 1: provided we can catch cats, that's going to give us

506
00:32:43,080 --> 00:32:45,520
Speaker 1: tons of data and be sort of the meat and

507
00:32:45,560 --> 00:32:48,880
Speaker 1: potatoes um of a lot of our analysis to tell

508
00:32:48,920 --> 00:32:52,160
Speaker 1: what they're doing in the summertime exactly. Yeah. And you're

509
00:32:52,200 --> 00:32:55,400
Speaker 1: just getting thousands of data points. And the way we've

510
00:32:55,440 --> 00:32:59,600
Speaker 1: got our our callers programmed is that they'll be taking

511
00:33:00,400 --> 00:33:04,120
Speaker 1: uh location every thirty minutes, so it it's set in

512
00:33:04,160 --> 00:33:07,800
Speaker 1: itself is pretty fine scale data as well. We're we're

513
00:33:07,800 --> 00:33:10,920
Speaker 1: gonna be able to learn a lot um And so

514
00:33:11,600 --> 00:33:16,200
Speaker 1: getting callers out of course means trapping cats and so um.

515
00:33:16,240 --> 00:33:18,760
Speaker 1: That's that's one of my favorite things to do, is

516
00:33:18,760 --> 00:33:22,600
Speaker 1: is trapping UM. So I'm pretty excited to start doing that.

517
00:33:22,680 --> 00:33:25,320
Speaker 1: Which we'll be opening traps in a couple of days. Here,

518
00:33:25,320 --> 00:33:28,400
Speaker 1: we're just waiting for our callers to arrive. But you

519
00:33:28,400 --> 00:33:35,120
Speaker 1: guys need your nonprofit. You guys need snowmobiles, you need traps.

520
00:33:35,760 --> 00:33:42,640
Speaker 1: We've got traps. We you explain it, Okay. So all

521
00:33:42,720 --> 00:33:45,960
Speaker 1: this work that I'm talking about, the backtracking and the trapping,

522
00:33:46,280 --> 00:33:48,840
Speaker 1: takes place in winter. And so for us to get

523
00:33:48,840 --> 00:33:52,200
Speaker 1: out there, we're Lynx Country is where we are. It's

524
00:33:52,280 --> 00:33:55,680
Speaker 1: high in elevation, it's pretty rugged. In fact, there's areas

525
00:33:55,680 --> 00:33:58,520
Speaker 1: of Lynx Country where we are that's pass or it's

526
00:33:58,560 --> 00:34:01,760
Speaker 1: it's wilderness. We can't we get there in the winter,

527
00:34:01,960 --> 00:34:05,160
Speaker 1: and so it's it's tough to access. It's just tough

528
00:34:05,240 --> 00:34:08,879
Speaker 1: to be out there. And so really the crux and

529
00:34:08,920 --> 00:34:11,760
Speaker 1: the weakest link of our research and getting it done

530
00:34:12,200 --> 00:34:14,680
Speaker 1: is our snowmobiles. We have no way of collecting any

531
00:34:14,680 --> 00:34:19,520
Speaker 1: of this data without snowmobiles. We got old as machines.

532
00:34:19,719 --> 00:34:22,200
Speaker 1: We are writing some old as machines, and I am

533
00:34:22,360 --> 00:34:27,000
Speaker 1: so grateful for these machines. We've had four machines donated

534
00:34:27,040 --> 00:34:29,880
Speaker 1: to us, and that is awesome, and that's made it possible.

535
00:34:30,640 --> 00:34:34,120
Speaker 1: Um three of those machines are about twenty five years old,

536
00:34:34,880 --> 00:34:38,760
Speaker 1: and so with us writing those every single day, and um,

537
00:34:38,800 --> 00:34:41,719
Speaker 1: you know, probably have more people on the sled than

538
00:34:41,760 --> 00:34:46,320
Speaker 1: the sled would like we're towing trailers this sort of thing. Um,

539
00:34:46,360 --> 00:34:48,440
Speaker 1: they have a rough life on top of the twenty

540
00:34:48,560 --> 00:34:52,439
Speaker 1: five years they've already lived. And so um we got

541
00:34:52,480 --> 00:34:57,320
Speaker 1: people at age that work here and they're useless. I

542
00:34:59,360 --> 00:35:02,880
Speaker 1: think he did. It's not even actually true. Funny jokes.

543
00:35:04,239 --> 00:35:11,359
Speaker 1: I trying to buy that one back. He's remember that

544
00:35:11,440 --> 00:35:17,720
Speaker 1: thing about the young people like joking. I'm joking machines

545
00:35:18,360 --> 00:35:21,120
Speaker 1: you hit the limit. Yeah, yeah, they're not gonna last us.

546
00:35:21,239 --> 00:35:23,880
Speaker 1: And even one of them breaking down just puts a huge,

547
00:35:24,200 --> 00:35:27,319
Speaker 1: you know crank in our day. We can't get people

548
00:35:27,400 --> 00:35:32,720
Speaker 1: out there, and so we are trying to hustle really

549
00:35:32,760 --> 00:35:36,320
Speaker 1: hard to raise some money to be able to buy

550
00:35:36,840 --> 00:35:41,880
Speaker 1: one or two. Um used, we used, but hopefully not

551
00:35:41,920 --> 00:35:45,000
Speaker 1: twenty five year old machines. We're hoping we can find

552
00:35:45,040 --> 00:35:47,600
Speaker 1: something in the tender fifteen year old range where you

553
00:35:47,640 --> 00:35:50,640
Speaker 1: break down in the middle of nowhere, someone could literally

554
00:35:50,680 --> 00:35:56,840
Speaker 1: save your life by getting you slide. I like that, man, Yes,

555
00:35:57,120 --> 00:36:09,960
Speaker 1: save our lives. Donate Never hear her again on the podcast. No,

556
00:36:10,239 --> 00:36:13,080
Speaker 1: I my the crew that we've got this year is

557
00:36:13,239 --> 00:36:17,560
Speaker 1: UM an incredible group. They have got a lot of skill.

558
00:36:18,120 --> 00:36:19,920
Speaker 1: They know what to do if they break out or

559
00:36:19,960 --> 00:36:24,000
Speaker 1: if they break down out there, which is either well, okay,

560
00:36:24,000 --> 00:36:29,320
Speaker 1: we've got in reaches so they can contact needs to

561
00:36:29,320 --> 00:36:34,480
Speaker 1: seem very desperate. Here's what it can mean. Uh, if

562
00:36:34,520 --> 00:36:37,120
Speaker 1: you're in reach isn't working, it can mean that you're

563
00:36:37,160 --> 00:36:39,880
Speaker 1: you know, thirty miles out in the back country in

564
00:36:40,920 --> 00:36:49,160
Speaker 1: freezing snowy part you're eating your work partners and eventually issues. Yeah. Yeah,

565
00:36:49,200 --> 00:36:53,080
Speaker 1: I don't even want to think about that. So anyway,

566
00:36:53,120 --> 00:36:56,640
Speaker 1: the point is is that this is I've got great people,

567
00:36:57,160 --> 00:37:02,520
Speaker 1: We've got great opportunity for for gathering this data. But

568
00:37:02,600 --> 00:37:05,879
Speaker 1: it all comes back to the snowmobiles. So lay out

569
00:37:05,920 --> 00:37:08,040
Speaker 1: how people can be of help. This is where things

570
00:37:08,080 --> 00:37:12,080
Speaker 1: get interesting. Yeah. So here's what we've schemed up UM. So,

571
00:37:12,160 --> 00:37:14,680
Speaker 1: like I said, we're trying to raise money to get

572
00:37:14,719 --> 00:37:17,120
Speaker 1: snowmobiles so we can do this work. And our plan

573
00:37:17,560 --> 00:37:23,759
Speaker 1: is UM a campaign we're calling trap Cat and if

574
00:37:23,800 --> 00:37:29,520
Speaker 1: folks donate hundred bucks, they're basically sponsoring a trap set.

575
00:37:30,160 --> 00:37:34,080
Speaker 1: So we have UM We've got thirty traps that we've built,

576
00:37:34,160 --> 00:37:37,080
Speaker 1: and we've got another twelve that we're borrowing from another project.

577
00:37:37,160 --> 00:37:41,200
Speaker 1: So we've got forty two traps. And the thing you've

578
00:37:41,200 --> 00:37:44,440
Speaker 1: got to keep in mind is that these traps UM

579
00:37:44,600 --> 00:37:48,840
Speaker 1: will be continuously resetting, UM rearranging, and every time you

580
00:37:48,880 --> 00:37:52,000
Speaker 1: do that, it's a different set. And so if if

581
00:37:52,400 --> 00:37:55,120
Speaker 1: UM folks donate hundred bucks, you get one of those

582
00:37:55,239 --> 00:37:57,960
Speaker 1: sets basically in your name. And how long is it set?

583
00:37:58,160 --> 00:38:00,279
Speaker 1: How long you'll leave a set out? It depend ends

584
00:38:00,320 --> 00:38:02,400
Speaker 1: if it's a good set that we like, could be

585
00:38:02,440 --> 00:38:06,400
Speaker 1: out there all season, which are seasons running now through March,

586
00:38:07,360 --> 00:38:09,440
Speaker 1: or you could have a month long set. You can

587
00:38:09,480 --> 00:38:11,120
Speaker 1: have a months long set, or you make a set

588
00:38:11,160 --> 00:38:13,719
Speaker 1: and then also in some skier or something's dicking with

589
00:38:13,800 --> 00:38:15,759
Speaker 1: it and you gotta move it, and then that sets over. Yeah,

590
00:38:15,920 --> 00:38:18,759
Speaker 1: or a skunk is stra orient every day, or a

591
00:38:18,800 --> 00:38:21,719
Speaker 1: gray j or whatever, or we just decide we don't

592
00:38:21,719 --> 00:38:24,440
Speaker 1: like it for whatever reason, then we'll move it and

593
00:38:24,480 --> 00:38:27,160
Speaker 1: so then it becomes a new set. It's just like trapping,

594
00:38:27,920 --> 00:38:32,520
Speaker 1: same thing. Yeah, I mean that's yeah, you got a

595
00:38:32,560 --> 00:38:36,080
Speaker 1: dead when you move it, Yeah, exactly, exact Start catching

596
00:38:36,080 --> 00:38:40,520
Speaker 1: possums you move it. Yep. So, um, so we could

597
00:38:40,520 --> 00:38:44,920
Speaker 1: have countless numbers of sets this season. Yeah, okay, So

598
00:38:45,600 --> 00:38:48,960
Speaker 1: if you donate, first of all, we'll be sending out

599
00:38:49,600 --> 00:38:52,560
Speaker 1: season updates and just pictures and footage of what we're

600
00:38:52,560 --> 00:38:55,680
Speaker 1: doing out there, so you'll get access to that. And

601
00:38:55,719 --> 00:39:01,560
Speaker 1: then if you're set catches the links, then you win.

602
00:39:02,040 --> 00:39:06,520
Speaker 1: You're a winner. You win. That's a winning moment for you.

603
00:39:06,680 --> 00:39:10,400
Speaker 1: And so do they get the name the cat? We

604
00:39:10,480 --> 00:39:14,879
Speaker 1: thought about that. Um, well, this podcast has talked about

605
00:39:14,920 --> 00:39:17,759
Speaker 1: naming animalst quite a bit, and we decided to just

606
00:39:17,880 --> 00:39:22,879
Speaker 1: avoid that. I yeah, so we're gonna give us some number. Well,

607
00:39:22,920 --> 00:39:25,760
Speaker 1: I mean it'll get an ear tag and so official

608
00:39:25,760 --> 00:39:29,799
Speaker 1: it'll have a sort of its official ear tag number. Uh.

609
00:39:31,719 --> 00:39:35,200
Speaker 1: You know, often internally will have names for cats just

610
00:39:35,239 --> 00:39:37,359
Speaker 1: because who's going to remember the number. And so if

611
00:39:37,400 --> 00:39:40,240
Speaker 1: you've got the one anyway, it just makes it simpler

612
00:39:40,640 --> 00:39:42,760
Speaker 1: to have a name. But the winner is not getting

613
00:39:42,840 --> 00:39:48,560
Speaker 1: naming privileges. The winner is going to get fame and glory. Um,

614
00:39:48,640 --> 00:39:52,400
Speaker 1: so we'll we'll announced you as a winner, and Steve

615
00:39:52,480 --> 00:39:57,319
Speaker 1: has also offered to announce the winner on social media. Well,

616
00:39:57,320 --> 00:39:58,960
Speaker 1: an now the winner on my social media and how

617
00:39:58,960 --> 00:40:01,600
Speaker 1: many winners might there be how cats trying to get well,

618
00:40:03,840 --> 00:40:06,520
Speaker 1: we've got so in our I don't know how many

619
00:40:06,560 --> 00:40:09,400
Speaker 1: cats we've got in our study area. But here's the

620
00:40:09,440 --> 00:40:12,840
Speaker 1: thing about research trapping, and especially for an endangered species,

621
00:40:13,160 --> 00:40:15,279
Speaker 1: there's not that many out there, and it makes the

622
00:40:15,320 --> 00:40:20,880
Speaker 1: trapping really, really tough. Um. It's one thing to be,

623
00:40:21,200 --> 00:40:23,480
Speaker 1: you know, trapping links in the core of their range

624
00:40:24,440 --> 00:40:27,760
Speaker 1: and at a population peak where you've got multiple cats

625
00:40:28,280 --> 00:40:30,759
Speaker 1: passing your traps and doing so very often. That gives

626
00:40:30,760 --> 00:40:36,000
Speaker 1: you a lot of opportunities. We might have an opportunity

627
00:40:36,080 --> 00:40:39,279
Speaker 1: once a week, once every two weeks, just because there's

628
00:40:39,320 --> 00:40:42,480
Speaker 1: the density of cats is so low. There's not that

629
00:40:42,560 --> 00:40:45,359
Speaker 1: many there, So fill but fill in this for me. Yeah,

630
00:40:45,760 --> 00:40:51,879
Speaker 1: I Carmen van Bianchi, would be disappointed if I got

631
00:40:52,040 --> 00:40:58,560
Speaker 1: collars on less than unless this year. If we got

632
00:40:58,680 --> 00:41:01,800
Speaker 1: less than one, I would be disappointed. I'll be happy

633
00:41:01,840 --> 00:41:06,040
Speaker 1: if we catch one. I'll be ecstatic if we catch four. Okay,

634
00:41:06,080 --> 00:41:07,759
Speaker 1: that was the second thing I was gonna have you like,

635
00:41:07,800 --> 00:41:12,160
Speaker 1: and that would be surprised if we got more than four.

636
00:41:17,760 --> 00:41:20,320
Speaker 1: Working your asses off with the goal of getting the

637
00:41:20,400 --> 00:41:25,920
Speaker 1: collar on maybe one to four. Yea one if one,

638
00:41:26,360 --> 00:41:28,839
Speaker 1: you'd be you'd count yourself like good to get one.

639
00:41:29,080 --> 00:41:32,000
Speaker 1: Four would be great, four would be great. We've got

640
00:41:32,200 --> 00:41:35,440
Speaker 1: um multiple years of this project and as as the

641
00:41:35,480 --> 00:41:37,959
Speaker 1: first year, it's always more, you know, just your figuring

642
00:41:38,000 --> 00:41:41,919
Speaker 1: out logistics. You're you know, you always learn a lot

643
00:41:42,000 --> 00:41:44,920
Speaker 1: in your in your first year. Um. But just to

644
00:41:44,920 --> 00:41:48,080
Speaker 1: give me an idea, I've I have links trapped in

645
00:41:48,120 --> 00:41:51,319
Speaker 1: the North Cascades before it took us two seasons to

646
00:41:51,440 --> 00:41:57,360
Speaker 1: catch five cats, five unique length. Whereas I've trapped in

647
00:41:57,360 --> 00:42:02,440
Speaker 1: in Maine and we caught I think eleven new captures

648
00:42:02,440 --> 00:42:05,200
Speaker 1: in two months. So so much of that just depends

649
00:42:05,239 --> 00:42:08,680
Speaker 1: on your on your density. So this is roughing it

650
00:42:08,920 --> 00:42:11,160
Speaker 1: a slog and you're going to use the money. Sorry,

651
00:42:11,200 --> 00:42:13,600
Speaker 1: sorry ahead, Well, I just gotta float it out there.

652
00:42:14,200 --> 00:42:19,359
Speaker 1: There's trapping. There's another way to catch cats. Yeah, once

653
00:42:19,400 --> 00:42:22,160
Speaker 1: you have once you have Yanni hound dog, Yeah that

654
00:42:22,600 --> 00:42:26,879
Speaker 1: um could be well, a couple of things we know

655
00:42:27,000 --> 00:42:30,560
Speaker 1: how to trap. Um. I don't know of any local

656
00:42:31,280 --> 00:42:33,360
Speaker 1: hound hunters. Give you a lot of reasons why you

657
00:42:33,360 --> 00:42:36,359
Speaker 1: don't want to do this. There's also links are because

658
00:42:36,360 --> 00:42:38,080
Speaker 1: you're gonna have one if the dogs mix it up

659
00:42:38,120 --> 00:42:40,440
Speaker 1: with the links the links that they don't they're not

660
00:42:40,520 --> 00:42:45,120
Speaker 1: as my understanding, and I've never chase links with a dog,

661
00:42:45,239 --> 00:42:46,640
Speaker 1: but I've heard from people they don't want to go

662
00:42:46,680 --> 00:42:49,120
Speaker 1: into the tree. Well we're in a burned area, remember,

663
00:42:49,280 --> 00:42:51,080
Speaker 1: so there's not a whole lot of trees that link

664
00:42:51,960 --> 00:42:55,160
Speaker 1: mingus all of a sudden becomes the you know, he

665
00:42:55,239 --> 00:42:58,160
Speaker 1: makes like the FBI's most wanted lists for having killed

666
00:42:58,200 --> 00:43:01,960
Speaker 1: some links. Yeah, it's just we've got a very high

667
00:43:02,920 --> 00:43:06,280
Speaker 1: bar for for what we're willing to put this endangered

668
00:43:06,320 --> 00:43:10,479
Speaker 1: species through we need. Yeah, and it's been floated, it's

669
00:43:10,600 --> 00:43:14,319
Speaker 1: you know, but it's just um, well just looking at

670
00:43:14,360 --> 00:43:17,319
Speaker 1: you know, versus putting out forty two traps. If you

671
00:43:17,400 --> 00:43:20,439
Speaker 1: cut a track and you put dogs on that one

672
00:43:20,480 --> 00:43:24,920
Speaker 1: track and thing. No, but you're right, I mean it

673
00:43:24,920 --> 00:43:29,319
Speaker 1: would be more efficient. Yeah, keep in mind keeping come out,

674
00:43:30,040 --> 00:43:32,759
Speaker 1: nobody raising money to send Yanni out there. There we go.

675
00:43:33,640 --> 00:43:37,160
Speaker 1: But you're you're going to use the money from the program.

676
00:43:37,239 --> 00:43:40,840
Speaker 1: You're gonna use the sponsorship money to take care of

677
00:43:40,840 --> 00:43:44,680
Speaker 1: the snow bill problem. So someone could either just take

678
00:43:44,680 --> 00:43:46,920
Speaker 1: care of the snow and bill problem and then you

679
00:43:46,920 --> 00:43:49,359
Speaker 1: can use the money for something else. But but so

680
00:43:49,640 --> 00:43:51,360
Speaker 1: do that But the other thing is you gotta do

681
00:43:51,360 --> 00:43:53,040
Speaker 1: the sponsorship. Now, let me tell what I'm gonna do.

682
00:43:53,360 --> 00:43:55,960
Speaker 1: I'm gonna do it. I'm gonna sponsor a set for

683
00:43:56,000 --> 00:44:00,040
Speaker 1: each of my three children. All right, Okay, that's a

684
00:44:00,080 --> 00:44:01,479
Speaker 1: good way. That's a good thing to do for people

685
00:44:01,480 --> 00:44:03,480
Speaker 1: to have children on a sponsor a set for each

686
00:44:03,520 --> 00:44:05,319
Speaker 1: of my three children. But how will they know when

687
00:44:05,320 --> 00:44:07,359
Speaker 1: their set has been made? And how will they know

688
00:44:07,400 --> 00:44:10,240
Speaker 1: what happened? Yeah, good questions. So we'll send a picture

689
00:44:10,280 --> 00:44:12,960
Speaker 1: of the set. We'll send you a picture of your set,

690
00:44:13,960 --> 00:44:17,800
Speaker 1: and then we'll also because we'll have your email, um,

691
00:44:17,880 --> 00:44:19,960
Speaker 1: and then like I said, we'll be sending updates like

692
00:44:19,960 --> 00:44:23,480
Speaker 1: if you're getting by catch that sort of thing, um,

693
00:44:23,640 --> 00:44:26,759
Speaker 1: and just you know, videos and just footage of us

694
00:44:26,840 --> 00:44:30,040
Speaker 1: out there being trappers. And you have the capacity to

695
00:44:30,120 --> 00:44:36,040
Speaker 1: do all this additional reporting and work barely. But I mean,

696
00:44:36,080 --> 00:44:39,440
Speaker 1: it's all everything that we're doing. We are running ragging.

697
00:44:39,680 --> 00:44:43,640
Speaker 1: We're just Yeah, you got volunteers. So we've got let's see,

698
00:44:43,640 --> 00:44:47,080
Speaker 1: so there's three of us uh staff for Home Range

699
00:44:47,080 --> 00:44:51,240
Speaker 1: Wildlife Research. That's our our nonprofit. I've hired two field

700
00:44:51,239 --> 00:44:54,880
Speaker 1: bios and then we have some really great local trackers

701
00:44:55,239 --> 00:44:58,520
Speaker 1: that are volunteering to help us with the backtracking portion. Yeah,

702
00:44:58,840 --> 00:45:01,239
Speaker 1: are you looking for more volunteers? Is that filled up?

703
00:45:01,520 --> 00:45:04,120
Speaker 1: We're filled up. It also takes quite a bit of training,

704
00:45:04,360 --> 00:45:07,319
Speaker 1: so we did a big training all at once a

705
00:45:07,360 --> 00:45:10,280
Speaker 1: couple of weeks ago. Um, so for this season, Yeah,

706
00:45:10,400 --> 00:45:13,120
Speaker 1: where we need people to just be ready to go. So,

707
00:45:13,120 --> 00:45:15,120
Speaker 1: so how do people go sponsor the trap? Is this

708
00:45:15,200 --> 00:45:17,360
Speaker 1: going on right? Like, you're ready to roll right now?

709
00:45:17,840 --> 00:45:21,359
Speaker 1: So we're opening traps on Friday, that's the day our

710
00:45:21,360 --> 00:45:23,720
Speaker 1: callers are supposed to get there. So right now there's

711
00:45:23,800 --> 00:45:26,680
Speaker 1: a couple of folks out in the field getting traps

712
00:45:26,680 --> 00:45:31,120
Speaker 1: out there. Um. My strategy was, let's get traps out

713
00:45:31,120 --> 00:45:35,880
Speaker 1: there and in place. No bait, no I catch. Um.

714
00:45:35,920 --> 00:45:37,759
Speaker 1: In fact, I'm sort of hoping they're not going to

715
00:45:37,880 --> 00:45:40,880
Speaker 1: be noticed until we open them. I don't want to

716
00:45:40,880 --> 00:45:45,000
Speaker 1: lose much of the element of surprise. We're gonna open

717
00:45:45,000 --> 00:45:46,839
Speaker 1: the doors, We're gonna bait them, We're gonna put out

718
00:45:46,880 --> 00:45:50,160
Speaker 1: feathers and the snow your hair. No, we're just using

719
00:45:50,239 --> 00:45:53,479
Speaker 1: road killed deer. Yeah, and then some loures, some beaver

720
00:45:53,600 --> 00:45:57,480
Speaker 1: caster and things like that. But how do people go

721
00:45:57,560 --> 00:46:01,080
Speaker 1: do it? Website. Yeah, we've got a landing pay age. Yea.

722
00:46:01,360 --> 00:46:06,120
Speaker 1: So it's home range dot org home range dot org yep,

723
00:46:06,440 --> 00:46:10,440
Speaker 1: slash trap a cat and you're ready to take business.

724
00:46:10,960 --> 00:46:14,840
Speaker 1: We're ready as Yeah, when this drops, we will be alright.

725
00:46:15,080 --> 00:46:18,440
Speaker 1: I'll do three of them. Awesome. Thanks, But listeners need

726
00:46:18,480 --> 00:46:20,279
Speaker 1: to jump in and it just send him some just

727
00:46:20,280 --> 00:46:22,800
Speaker 1: send him some snowbills man. Yeah, is there a way

728
00:46:22,840 --> 00:46:25,040
Speaker 1: too that Let's just say you don't you're not even

729
00:46:25,080 --> 00:46:28,160
Speaker 1: interested in setting a set that you can just can

730
00:46:28,160 --> 00:46:30,640
Speaker 1: you just go to the landing page and just send

731
00:46:30,680 --> 00:46:35,040
Speaker 1: a hunter box? Yeah, that's an option there. Yeah. I

732
00:46:35,080 --> 00:46:42,799
Speaker 1: mean we've got donate but no, you're a trapper. I'm

733
00:46:42,840 --> 00:46:47,720
Speaker 1: a trapper, not a giver. I want my set um.

734
00:46:47,760 --> 00:46:50,600
Speaker 1: But this is all the solved snow bill problem. Yep, exactly.

735
00:46:51,480 --> 00:46:53,759
Speaker 1: I feel like some I feel like there's such a

736
00:46:53,760 --> 00:46:57,560
Speaker 1: good chance it's some snowbill outfit. It's gonna it's gonna

737
00:46:58,040 --> 00:47:01,840
Speaker 1: help you out. I mean, that would be an incredible machine,

738
00:47:02,480 --> 00:47:04,799
Speaker 1: the dream machine, be honest, and I were just talking

739
00:47:04,840 --> 00:47:12,680
Speaker 1: about is it cut that out? Philm machine? You can

740
00:47:12,800 --> 00:47:16,240
Speaker 1: leave in us talking about make it the dream machine?

741
00:47:16,280 --> 00:47:19,319
Speaker 1: Is any machine leave us talking about how we cut it,

742
00:47:19,400 --> 00:47:22,200
Speaker 1: but beep out what she said because she is. It's like,

743
00:47:22,320 --> 00:47:24,960
Speaker 1: don't do that, man, I'm not going to turn down

744
00:47:25,000 --> 00:47:29,520
Speaker 1: an arctic cut. All that be all at out beat

745
00:47:29,560 --> 00:47:34,440
Speaker 1: the words out. Beggars can't be choosers. Exactly. You need

746
00:47:34,480 --> 00:47:39,840
Speaker 1: snow meals. If someone gives Carmen the snowmobiles, I will

747
00:47:40,280 --> 00:47:42,520
Speaker 1: the same way. I'm going to announce the winners. If

748
00:47:42,560 --> 00:47:46,160
Speaker 1: someone gives Carmen it's not because someone gives Home Range

749
00:47:46,640 --> 00:47:49,600
Speaker 1: snow meals, then I'll do the We'll do the social

750
00:47:49,600 --> 00:47:56,080
Speaker 1: media post thanking them for the snowbal There we go. Yeah, okay, beverage. Good.

751
00:47:56,560 --> 00:48:01,920
Speaker 1: Tell the website again. Home range dot org, slash trap

752
00:48:01,960 --> 00:48:07,840
Speaker 1: a cat and dashes trap dash dash cat home Range,

753
00:48:08,040 --> 00:48:11,480
Speaker 1: home Range like an animal's home range dot org ye

754
00:48:12,160 --> 00:48:21,960
Speaker 1: slash trap dash a dash cat not links. Nope, doesn't

755
00:48:21,960 --> 00:48:25,360
Speaker 1: have the same I don't know, probably not. Now listen,

756
00:48:26,280 --> 00:48:31,720
Speaker 1: let's not complicate things necessary, all right. I hope people

757
00:48:31,760 --> 00:48:37,760
Speaker 1: dig in and help. Yeah, I will be announcing the winners. Yep. Yeah,

758
00:48:38,040 --> 00:48:40,239
Speaker 1: Oh you know what we'll do? Can I kind of

759
00:48:40,280 --> 00:48:48,200
Speaker 1: sweeten the pot? We'll send um, We'll send a I'm

760
00:48:48,200 --> 00:48:50,200
Speaker 1: trying to think what we'll do. We'll send a great

761
00:48:50,239 --> 00:48:54,279
Speaker 1: first light kit to the winners. Oh I don't, I'm

762
00:48:54,280 --> 00:48:59,160
Speaker 1: gonna need to. So if my set traps the links,

763
00:48:59,680 --> 00:49:04,160
Speaker 1: we'll send a great We'll send a great cold weather accessory,

764
00:49:04,200 --> 00:49:08,240
Speaker 1: will send like cold weather, like heavy duty down right,

765
00:49:08,280 --> 00:49:13,080
Speaker 1: because it's wintertime. We'll send a cold weather kit like

766
00:49:13,360 --> 00:49:17,920
Speaker 1: Bibbs jacket, super hat, Mitts. That's better than a lottery,

767
00:49:18,520 --> 00:49:21,280
Speaker 1: So I'll announce it and then we'll send a cold

768
00:49:21,320 --> 00:49:26,279
Speaker 1: weather kit to winters. That's amazing. You're gonna make me

769
00:49:26,320 --> 00:49:33,280
Speaker 1: get my wallet on. Yeah, thank you, And to anybody

770
00:49:33,320 --> 00:49:36,560
Speaker 1: that does donate, thank you. Well we'll stay on it. Man,

771
00:49:36,600 --> 00:49:38,520
Speaker 1: We're gonna get it. I think. I hope we'll get

772
00:49:38,560 --> 00:49:43,040
Speaker 1: to take care of Thank you. That would be great. Um.

773
00:49:43,080 --> 00:49:45,480
Speaker 1: And then I got one last question for you. The collars.

774
00:49:45,480 --> 00:49:48,480
Speaker 1: How long do they work for? Well, that's the thing

775
00:49:48,480 --> 00:49:51,759
Speaker 1: with callers is it's always you're trying to balance the

776
00:49:51,760 --> 00:49:55,880
Speaker 1: battery life, the weight of the caller, and your data collection.

777
00:49:56,239 --> 00:49:58,840
Speaker 1: So the more intensive the data collection, the fact of

778
00:49:58,920 --> 00:50:03,360
Speaker 1: the battery in it out. So we've we've rigged it

779
00:50:03,440 --> 00:50:07,600
Speaker 1: up so that every other month they're collecting this thirty

780
00:50:07,600 --> 00:50:11,640
Speaker 1: minute data. Every three days, and by doing that, we've

781
00:50:11,640 --> 00:50:15,320
Speaker 1: made it so that our colors will last around the

782
00:50:15,000 --> 00:50:18,960
Speaker 1: calendar year from when the call was placed. So you

783
00:50:19,000 --> 00:50:21,279
Speaker 1: get a year and does that thing fall off in

784
00:50:21,280 --> 00:50:23,719
Speaker 1: the end, So there's a couple of different mechanisms you

785
00:50:23,760 --> 00:50:25,480
Speaker 1: can use, but yes it does. We wanted to fall

786
00:50:25,560 --> 00:50:27,719
Speaker 1: off because we don't want to saddle and links with

787
00:50:27,880 --> 00:50:29,239
Speaker 1: you know, a caller for the rest of it. Can

788
00:50:29,280 --> 00:50:31,680
Speaker 1: you find it? Yeah, it's got a little death signal

789
00:50:31,760 --> 00:50:35,120
Speaker 1: or whatever. Yep, it's got a death signal. We cause

790
00:50:35,160 --> 00:50:37,759
Speaker 1: it a mortality signal. But yeah, so if the cat dies,

791
00:50:38,040 --> 00:50:40,640
Speaker 1: we'll know we can go out there and investigate what happens. Man,

792
00:50:40,760 --> 00:50:42,960
Speaker 1: that would be that would be a great giveaway item.

793
00:50:43,040 --> 00:50:44,920
Speaker 1: If you want to dig real into this, let's picture

794
00:50:45,000 --> 00:50:49,520
Speaker 1: this the uh you get a you get a mortality

795
00:50:49,560 --> 00:50:52,960
Speaker 1: signal that someone can come along with you to go

796
00:50:53,080 --> 00:50:56,080
Speaker 1: find out what happened to the thing or just get

797
00:50:56,120 --> 00:51:00,319
Speaker 1: the collar. Yeah, those are always fascinating field. I would

798
00:51:00,320 --> 00:51:01,920
Speaker 1: be so excited if I woke up one day and

799
00:51:01,920 --> 00:51:04,359
Speaker 1: we're going to check out a mortality signal on the lynks,

800
00:51:04,400 --> 00:51:06,600
Speaker 1: I'd be very excited. What kind of price are we

801
00:51:06,680 --> 00:51:10,520
Speaker 1: talking on a collar? It's gotta be not free. No no, um,

802
00:51:10,560 --> 00:51:13,520
Speaker 1: when it's all done well, So the so the let

803
00:51:13,520 --> 00:51:15,880
Speaker 1: me just explain how they fall off because that affects

804
00:51:15,920 --> 00:51:19,160
Speaker 1: the price. But basically, you can get a a cotton

805
00:51:19,160 --> 00:51:22,600
Speaker 1: spacer that will eventually just sort of rot off, um

806
00:51:22,640 --> 00:51:26,319
Speaker 1: and that anyway, there's so that's one option. Uh. And

807
00:51:26,360 --> 00:51:29,360
Speaker 1: then you could also get a collar with a blowoff device.

808
00:51:29,400 --> 00:51:33,200
Speaker 1: And so that's a programmable little piece of equipment that

809
00:51:33,440 --> 00:51:43,279
Speaker 1: exactly a tiny explosion kills the cat. We no, yeah,

810
00:51:43,320 --> 00:51:45,520
Speaker 1: it just makes the bolts separate and so the collar

811
00:51:45,600 --> 00:51:47,719
Speaker 1: falls off. So that's that's nice because you know when

812
00:51:47,719 --> 00:51:49,440
Speaker 1: it's gonna happen, you can plan for it. You know

813
00:51:49,480 --> 00:51:52,480
Speaker 1: it's not going to happen too early before your data

814
00:51:52,520 --> 00:51:55,440
Speaker 1: collection has done. That's that's the expensive option. That's the

815
00:51:55,480 --> 00:51:58,120
Speaker 1: expensive option. Yeah. So if you're getting a drop off,

816
00:51:58,840 --> 00:52:03,439
Speaker 1: um about I want to say, like six hundred people

817
00:52:03,480 --> 00:52:05,799
Speaker 1: could buy those for you. Two couldn't they? Yeah? Oh man,

818
00:52:05,840 --> 00:52:08,879
Speaker 1: the more calls. So we only have four callers right now.

819
00:52:09,400 --> 00:52:11,959
Speaker 1: So that's why i'd be really happy forgot for kids

820
00:52:12,000 --> 00:52:14,640
Speaker 1: like seven cats. You're gonna go now what oh man,

821
00:52:14,760 --> 00:52:17,840
Speaker 1: if some miracle happened and you know in three weeks,

822
00:52:17,880 --> 00:52:20,399
Speaker 1: We've almost you know, caught two or three or something.

823
00:52:20,400 --> 00:52:22,520
Speaker 1: I'm going to be pretty disappointed we don't have more

824
00:52:22,640 --> 00:52:26,400
Speaker 1: but miracle days on the line last year. That's what

825
00:52:26,440 --> 00:52:29,560
Speaker 1: I'm hoping for. That's what I'm hoping for. And I

826
00:52:29,600 --> 00:52:33,280
Speaker 1: also just need to point out that we're really grateful

827
00:52:33,440 --> 00:52:39,319
Speaker 1: to our grand tours, the Paul g Allen Family Foundation. Well,

828
00:52:39,440 --> 00:52:41,640
Speaker 1: thanks for coming out and explaining it. Thanks for having me.

829
00:52:41,760 --> 00:52:44,319
Speaker 1: This is um. Yeah, I told come on any time

830
00:52:44,320 --> 00:52:47,400
Speaker 1: you want talk about what, talk about your needs and wants.

831
00:52:48,719 --> 00:53:00,279
Speaker 1: It's great that all right, you guys ready to dig

832
00:53:00,280 --> 00:53:03,560
Speaker 1: in out of the woodyard. In the woodyard. Happened in

833
00:53:03,560 --> 00:53:08,440
Speaker 1: the woodyard was the start? Yeah, I got a pre

834
00:53:08,680 --> 00:53:13,960
Speaker 1: pre question here, take it away. Did you get that?

835
00:53:14,960 --> 00:53:23,640
Speaker 1: You didn't even giggle at me? Or pre question? How

836
00:53:23,680 --> 00:53:27,600
Speaker 1: did you find out about in the woodyard a beaver trapper?

837
00:53:29,840 --> 00:53:37,280
Speaker 1: So you have an emerging threat to your whole inner propetition. Listen,

838
00:53:37,480 --> 00:53:41,600
Speaker 1: I'm gonna tell you the dude's name. Tell his last name.

839
00:53:42,680 --> 00:53:45,520
Speaker 1: He's even pitched to me. He's even pitched to me.

840
00:53:45,920 --> 00:53:50,080
Speaker 1: Guy named Jared. I can tell his last name is

841
00:53:50,120 --> 00:53:55,239
Speaker 1: in your state. No, he's not or is he. It's

842
00:53:55,239 --> 00:53:57,160
Speaker 1: confusing because he works in one lives in the other.

843
00:53:57,239 --> 00:53:59,440
Speaker 1: Either way, his name is Jared. He turned me on

844
00:53:59,600 --> 00:54:04,680
Speaker 1: you guys a long time ago, a year ago, um,

845
00:54:04,800 --> 00:54:08,440
Speaker 1: and he was recently pitching me on how he is

846
00:54:08,480 --> 00:54:14,360
Speaker 1: going up to work here area a chance. Oh. I

847
00:54:14,400 --> 00:54:17,680
Speaker 1: thought it was just like in the YouTube realm competition.

848
00:54:20,160 --> 00:54:22,240
Speaker 1: I told Chris, I said, you know, you just showed

849
00:54:22,280 --> 00:54:25,000
Speaker 1: the guardrail, you showed the sign. I said, everybody knows

850
00:54:25,040 --> 00:54:28,239
Speaker 1: this spot, you know, like, come on, I gotta be

851
00:54:28,280 --> 00:54:32,680
Speaker 1: a little more where you point that camera. Got I

852
00:54:32,719 --> 00:54:35,400
Speaker 1: got people I know that live within a mile of

853
00:54:35,440 --> 00:54:38,360
Speaker 1: me that they know half of the spots that we go. There.

854
00:54:38,680 --> 00:54:40,239
Speaker 1: You were here, and you were there and you made

855
00:54:40,239 --> 00:54:43,520
Speaker 1: that set. And I'm like, yeah, yeah, he's not like

856
00:54:43,920 --> 00:54:47,960
Speaker 1: I think it's fair to it's I think it's safe

857
00:54:47,960 --> 00:54:49,960
Speaker 1: to say. And I haven't really explored this fully with him.

858
00:54:49,960 --> 00:54:51,839
Speaker 1: I think it's safe to say that he was kind

859
00:54:51,840 --> 00:54:56,080
Speaker 1: of throwing it to me, like coincidentally, it's where the

860
00:54:56,120 --> 00:55:01,920
Speaker 1: guys that he turned me on to go. But that's

861
00:55:01,920 --> 00:55:03,400
Speaker 1: how I found out about you guys. That's what you

862
00:55:03,440 --> 00:55:05,880
Speaker 1: wanted to ask a pre question. So he turned me

863
00:55:05,920 --> 00:55:08,640
Speaker 1: on and I will and I wasn't even aware of

864
00:55:08,960 --> 00:55:10,719
Speaker 1: I was wondering, why the hell is called out of

865
00:55:10,719 --> 00:55:13,959
Speaker 1: the woodyards. I didn't know about in the woodyard. Yeah,

866
00:55:13,960 --> 00:55:16,600
Speaker 1: I just basically separated them because whenever I would do

867
00:55:16,800 --> 00:55:20,759
Speaker 1: wildlife things on my woodyard channel, YouTube didn't know what

868
00:55:20,800 --> 00:55:23,839
Speaker 1: to do with it because it's not firewood is not chainsaws,

869
00:55:23,880 --> 00:55:28,600
Speaker 1: it's not the same thing, is not the same audience. Well,

870
00:55:28,680 --> 00:55:30,839
Speaker 1: not that. What happens is I would have a video,

871
00:55:30,880 --> 00:55:33,120
Speaker 1: say it gets thirty thousand views in the first twenty

872
00:55:33,200 --> 00:55:36,560
Speaker 1: four hours on a wood something fire would related whatever

873
00:55:36,560 --> 00:55:38,880
Speaker 1: it is. The next day I would have a hunting

874
00:55:39,000 --> 00:55:41,439
Speaker 1: or trapping or fishing, and my views go right down

875
00:55:41,480 --> 00:55:45,399
Speaker 1: to twelve fifteen, seventeen thousand because YouTube doesn't know who

876
00:55:45,440 --> 00:55:48,240
Speaker 1: to show it to. So you your base seventeen thousand.

877
00:55:48,320 --> 00:55:52,480
Speaker 1: Whatever you're getting is your true believers, the coolie drinkers,

878
00:55:52,600 --> 00:55:54,759
Speaker 1: that's what I call them. Yeah, they'll watch anything you

879
00:55:54,840 --> 00:56:01,120
Speaker 1: do and bye bye. Basically separating it, my numbers stay

880
00:56:01,160 --> 00:56:04,560
Speaker 1: more consistent, and YouTube knows my audience and knows what

881
00:56:04,880 --> 00:56:07,880
Speaker 1: to do with it. And there's a bigger audience for

882
00:56:07,960 --> 00:56:11,680
Speaker 1: wood shopping. No, what's the audience I've developed? So they

883
00:56:11,719 --> 00:56:15,640
Speaker 1: know that audience. So yeah, there's there's way more people

884
00:56:15,680 --> 00:56:19,640
Speaker 1: that do firewood and trap. And then especially when you

885
00:56:19,760 --> 00:56:22,759
Speaker 1: narrow it down to beaver trapping, which is even a

886
00:56:22,840 --> 00:56:26,680
Speaker 1: smaller group, niching down your content is is the way

887
00:56:26,719 --> 00:56:30,520
Speaker 1: to success on YouTube or most social media. I think, hmm,

888
00:56:31,120 --> 00:56:34,839
Speaker 1: if you really want to do really well and if

889
00:56:34,840 --> 00:56:37,960
Speaker 1: you generalize, you know there's gonna be things that a

890
00:56:38,000 --> 00:56:41,319
Speaker 1: lot of people won't be interested in. So why aren't

891
00:56:41,320 --> 00:56:45,680
Speaker 1: we through the give me the background the wood shopping? Well,

892
00:56:45,719 --> 00:56:47,719
Speaker 1: I gotta I was in the wood shopping business for

893
00:56:47,760 --> 00:56:51,680
Speaker 1: a while, kind of sort of how do you guys

894
00:56:51,680 --> 00:56:54,879
Speaker 1: get into it? We've always we grew up hitting with wood.

895
00:56:54,920 --> 00:56:57,399
Speaker 1: We've been cutting seven years old, since we could swing

896
00:56:57,480 --> 00:57:00,160
Speaker 1: the mall. I think we couldn't even swing the mall.

897
00:57:00,200 --> 00:57:02,120
Speaker 1: And our dad was a railroad worker. He was an

898
00:57:02,120 --> 00:57:05,680
Speaker 1: engineer spike. He could spike railroad spikes. I mean actually

899
00:57:05,800 --> 00:57:07,640
Speaker 1: the first mall we had, he had a railroad I

900
00:57:07,680 --> 00:57:10,200
Speaker 1: don't know, like that big and it's a big long

901
00:57:10,280 --> 00:57:12,880
Speaker 1: head for driving railroad spikes. And it's only that big,

902
00:57:13,040 --> 00:57:17,560
Speaker 1: and it's that's a hard thing to master. I don't

903
00:57:17,920 --> 00:57:21,760
Speaker 1: freak got it free from work, So spikes with a long,

904
00:57:21,800 --> 00:57:26,720
Speaker 1: skinny mall no, yes, no, yes, well rail road spikes

905
00:57:26,760 --> 00:57:28,600
Speaker 1: or whatever kind of wedge he could find that they're

906
00:57:28,600 --> 00:57:30,640
Speaker 1: still in one piece, because you've got to realize you're

907
00:57:30,720 --> 00:57:33,240
Speaker 1: driving that spike in the next to that track. You

908
00:57:33,280 --> 00:57:35,600
Speaker 1: don't want to hit the track because oh that's why

909
00:57:35,920 --> 00:57:38,120
Speaker 1: that's got to be just a little bit tiny bigger

910
00:57:38,160 --> 00:57:41,160
Speaker 1: than And if you can hit with that, you can hit.

911
00:57:41,160 --> 00:57:42,840
Speaker 1: If you can hit, yeah, if you can, yeah, you

912
00:57:42,880 --> 00:57:45,080
Speaker 1: can master that. You can wait. It's probably a ten

913
00:57:45,080 --> 00:57:47,440
Speaker 1: pound head. Yeah, it was. It was. We were seven

914
00:57:47,520 --> 00:57:51,920
Speaker 1: years old in which is satan would because it doesn't split.

915
00:57:52,160 --> 00:57:54,960
Speaker 1: It's like spliting cable. Yeah, we grew up on the

916
00:57:55,040 --> 00:57:58,840
Speaker 1: worst of the worst. Man. It was all the all

917
00:57:59,600 --> 00:58:01,840
Speaker 1: the is dying from dutching back in them day's back

918
00:58:01,880 --> 00:58:04,880
Speaker 1: in at early seven, you know, so we're eight, nine, eleven,

919
00:58:04,960 --> 00:58:07,800
Speaker 1: twelve years or whatever you pick a year, but pretty

920
00:58:07,840 --> 00:58:11,320
Speaker 1: much free wood because it was free because you're cutting

921
00:58:11,320 --> 00:58:13,120
Speaker 1: it down, because that tree's dying, we're cutting it. It's

922
00:58:13,120 --> 00:58:18,520
Speaker 1: the worst, twisted, nasty there's nothing that we have that

923
00:58:18,680 --> 00:58:21,920
Speaker 1: even comes close to being that miserable dude, would you

924
00:58:21,960 --> 00:58:26,760
Speaker 1: agree that the finest splitting wood ever made by ever

925
00:58:26,840 --> 00:58:33,120
Speaker 1: made by God is beach splits good, which just makes

926
00:58:33,120 --> 00:58:35,600
Speaker 1: you feel like it makes you feel like such a

927
00:58:35,760 --> 00:58:38,200
Speaker 1: pro dude. I'll tell you it looks like planks a

928
00:58:38,320 --> 00:58:40,760
Speaker 1: lump if you want to well, same thing goals for like,

929
00:58:41,000 --> 00:58:43,400
Speaker 1: if you want to split some really gravy, it's like

930
00:58:43,480 --> 00:58:47,600
Speaker 1: vaneer red oak. In the wintertime, that's gray splitting. Oh god, yeah,

931
00:58:47,640 --> 00:58:50,000
Speaker 1: it's it's water dense, so in the wintertime you get

932
00:58:50,000 --> 00:58:53,400
Speaker 1: below zero and if it's clear, it just pot disclodes.

933
00:58:53,920 --> 00:58:55,800
Speaker 1: Hold on, you guys are saying a lot of terms

934
00:58:57,040 --> 00:58:58,880
Speaker 1: I'm not familiar with, so I'm sure most of the

935
00:58:58,880 --> 00:59:03,520
Speaker 1: listeners are heard clear described as clear as not free.

936
00:59:04,760 --> 00:59:08,680
Speaker 1: Clear is no not no, it's not free not freaking

937
00:59:09,800 --> 00:59:15,240
Speaker 1: Yeah you k n O t ye not. And then

938
00:59:15,280 --> 00:59:19,920
Speaker 1: you also said Vaneer grade Vaneer grade lumber. Do you

939
00:59:19,960 --> 00:59:21,480
Speaker 1: know what they make vaneer on of I don't know

940
00:59:21,480 --> 00:59:26,640
Speaker 1: what you've got any ven near here? No no flaws, perfect,

941
00:59:26,640 --> 00:59:29,880
Speaker 1: when the best best Yeah, yeah, it's usually your butt

942
00:59:29,880 --> 00:59:32,560
Speaker 1: cut on a tree, because like, and what they do

943
00:59:32,680 --> 00:59:39,120
Speaker 1: is that you're signed to do you know what vaneer is? Yeah? Okay,

944
00:59:39,640 --> 00:59:41,959
Speaker 1: when you when they make vaneer. They're taking a log

945
00:59:42,120 --> 00:59:45,280
Speaker 1: and basically you're taking not even it's like a guy

946
00:59:45,360 --> 00:59:47,120
Speaker 1: gave me a business card. Guy gave you a business

947
00:59:47,120 --> 00:59:48,919
Speaker 1: card one time, So picture a business card. It felt

948
00:59:48,920 --> 00:59:54,280
Speaker 1: like a normal business card. Thickness that was like three vaneer.

949
00:59:54,760 --> 00:59:58,480
Speaker 1: That was like a laminated piece of three walnut, like

950
00:59:59,120 --> 01:00:04,960
Speaker 1: it was laminated of the vneer veneer, but it's thicker.

951
01:00:05,200 --> 01:00:10,240
Speaker 1: Plywood is vaneer, three walnut vneer laminated together. Was like

952
01:00:10,280 --> 01:00:11,920
Speaker 1: a business card. And they take that thing and they

953
01:00:12,000 --> 01:00:15,040
Speaker 1: just you Basically you're cutting like a like you're flaying

954
01:00:15,080 --> 01:00:19,480
Speaker 1: at something much around and and they cook it. They

955
01:00:19,480 --> 01:00:22,680
Speaker 1: cook it. It's it's steam cooked, so it's soft and

956
01:00:22,720 --> 01:00:26,320
Speaker 1: they peel it like you would apple. But it comes

957
01:00:26,360 --> 01:00:30,280
Speaker 1: off like in sheets of paper. And then they laminated

958
01:00:30,360 --> 01:00:34,400
Speaker 1: into your put it on tops of crappy because so

959
01:00:34,560 --> 01:00:36,680
Speaker 1: the grain of that tree, that wood's got to be

960
01:00:36,720 --> 01:00:40,240
Speaker 1: like perfect. And you could have when I learned this

961
01:00:40,320 --> 01:00:42,840
Speaker 1: when me and Phelps were working on our the line,

962
01:00:42,880 --> 01:00:46,560
Speaker 1: one calls because another thing they do on the walnut.

963
01:00:47,800 --> 01:00:50,520
Speaker 1: You boys might be familiar at this steaming it to

964
01:00:50,600 --> 01:00:54,040
Speaker 1: get the color to spread around. But then people can

965
01:00:54,120 --> 01:00:56,960
Speaker 1: look and tell it's been steamed, but a good veneer

966
01:00:57,000 --> 01:00:59,400
Speaker 1: walnut log. These these dudes are telling us, like, you

967
01:00:59,520 --> 01:01:02,080
Speaker 1: might have one walnut tree that's worth a couple hundred bucks.

968
01:01:03,120 --> 01:01:06,720
Speaker 1: The walnut tree next to it could be a tree. Right.

969
01:01:07,000 --> 01:01:09,000
Speaker 1: There's there's a lot of different grades of aner I

970
01:01:09,000 --> 01:01:14,959
Speaker 1: mean like no big long trunk, no limb, narrow. Yeah,

971
01:01:14,960 --> 01:01:17,320
Speaker 1: I mean, so, I mean that's that's always the best

972
01:01:17,360 --> 01:01:20,000
Speaker 1: splitting wood on a tree. Yeah yeah, I mean, not

973
01:01:20,080 --> 01:01:22,400
Speaker 1: that you're gonna purposely cut that up, but a lot

974
01:01:22,400 --> 01:01:24,960
Speaker 1: of times I'll get cut off from a sawmill like

975
01:01:25,040 --> 01:01:29,439
Speaker 1: it was a veneer log, okay, and the buyer comes

976
01:01:29,440 --> 01:01:31,840
Speaker 1: in and says, well, let's say it's a number one

977
01:01:31,880 --> 01:01:33,760
Speaker 1: sal log. I mean, so now I'm talking maybe in

978
01:01:33,880 --> 01:01:37,120
Speaker 1: terms you guys don't know, I don't know, but high quality,

979
01:01:37,240 --> 01:01:39,880
Speaker 1: high quality log. It's a number one okay, that's top dollar.

980
01:01:40,800 --> 01:01:42,720
Speaker 1: And it's what it's a twelve foot log. All there's

981
01:01:42,760 --> 01:01:45,720
Speaker 1: one knot on that end. If we cut two ft

982
01:01:45,800 --> 01:01:48,600
Speaker 1: off that log, and then what's a ten footer the

983
01:01:48,720 --> 01:01:51,439
Speaker 1: valley that log just doubled because now it's aner grade,

984
01:01:51,480 --> 01:01:54,439
Speaker 1: not at number one grade. So there's and there's many

985
01:01:54,480 --> 01:01:57,680
Speaker 1: different grades of a near it's not just veneer. There's

986
01:01:58,080 --> 01:02:01,360
Speaker 1: there's over my I can't even tell you all that

987
01:02:01,440 --> 01:02:05,760
Speaker 1: there's different grades. But that's way removed from firewood. But

988
01:02:06,200 --> 01:02:08,600
Speaker 1: I guess when I said vaneer, that just really threw

989
01:02:08,640 --> 01:02:13,000
Speaker 1: another bench. And we're getting educated. I'll tell you the

990
01:02:13,000 --> 01:02:15,440
Speaker 1: things I didn't know. I didn't know you drove a

991
01:02:15,520 --> 01:02:19,600
Speaker 1: railroad spike with a real thin malls because it can't

992
01:02:19,600 --> 01:02:22,680
Speaker 1: be dinging the ship out of the rail. Well, nobody

993
01:02:22,920 --> 01:02:26,320
Speaker 1: does that by hand anymore. To realize, nobody describe some

994
01:02:26,360 --> 01:02:31,919
Speaker 1: pneumatic driver. So another thing that I'm getting I'm catching on.

995
01:02:32,800 --> 01:02:36,320
Speaker 1: You're old man, became so precise with this mall, and

996
01:02:36,360 --> 01:02:39,160
Speaker 1: we did to. We didn't eat. When you're looking at

997
01:02:39,160 --> 01:02:40,560
Speaker 1: a log and you're like, man, if you could hit

998
01:02:40,600 --> 01:02:43,800
Speaker 1: that log right there, that suckered split and you're an

999
01:02:43,840 --> 01:02:46,840
Speaker 1: inch off, you're driving a wedge. You guys use a

1000
01:02:46,840 --> 01:02:50,200
Speaker 1: wedge still a small two inches or whatever. I mean,

1001
01:02:50,400 --> 01:02:54,040
Speaker 1: Like we got these newer hand mall axes out of

1002
01:02:54,080 --> 01:02:58,240
Speaker 1: what you call the X back in the day. Not

1003
01:02:58,360 --> 01:03:00,960
Speaker 1: anymore so much, but I mean you can hit the

1004
01:03:01,000 --> 01:03:04,680
Speaker 1: same crack every time, every type, and if you do

1005
01:03:04,760 --> 01:03:08,240
Speaker 1: a lot, you can develop its practice. Everythinks its strength

1006
01:03:08,240 --> 01:03:10,560
Speaker 1: to it's it's technique just like anything else. Like the

1007
01:03:10,600 --> 01:03:12,919
Speaker 1: guys that are the big power lifters, there's a lot

1008
01:03:13,000 --> 01:03:15,600
Speaker 1: of technique in that. It's not all strength. I mean

1009
01:03:15,720 --> 01:03:18,360
Speaker 1: strength is a big part of it, but technique is huge. Well,

1010
01:03:18,440 --> 01:03:21,200
Speaker 1: yea tougher than I am, but I could beat him

1011
01:03:21,200 --> 01:03:25,960
Speaker 1: in logs splitten. Yeah, big guys try to split logs.

1012
01:03:26,160 --> 01:03:28,439
Speaker 1: And remember one, they don't know how to read the wood.

1013
01:03:28,440 --> 01:03:29,640
Speaker 1: When you look at it. You have to see where

1014
01:03:29,640 --> 01:03:32,120
Speaker 1: the cracks are, where the knots are, what sections you

1015
01:03:32,160 --> 01:03:35,040
Speaker 1: want to take off when, and how to work. You

1016
01:03:35,120 --> 01:03:37,160
Speaker 1: got to read the world. Can't just do all brute strength.

1017
01:03:37,200 --> 01:03:39,120
Speaker 1: And then your technique and your swing and how you

1018
01:03:39,120 --> 01:03:41,200
Speaker 1: can accelerate your swing and bending the knees and using

1019
01:03:41,200 --> 01:03:43,480
Speaker 1: your upper body to come down. And it's a lot

1020
01:03:43,480 --> 01:03:46,880
Speaker 1: of technique. Yeah. And you know you always you always

1021
01:03:46,880 --> 01:03:49,160
Speaker 1: cut the fresh cut, not the dry cut. And you

1022
01:03:49,160 --> 01:03:53,720
Speaker 1: always want you always want to cut it right away. Yeah, Okay,

1023
01:03:53,880 --> 01:03:55,520
Speaker 1: I've seen guys that cut up when they leave it

1024
01:03:55,520 --> 01:03:57,040
Speaker 1: in the back yard for a two years ago. I'm

1025
01:03:57,040 --> 01:03:59,080
Speaker 1: gonna go split that though, Well, that happens. That would

1026
01:03:59,200 --> 01:04:03,960
Speaker 1: drive some tight into a molecular We're like, now, what's dry?

1027
01:04:04,440 --> 01:04:07,800
Speaker 1: It's like why, why waste your time? But also it

1028
01:04:07,800 --> 01:04:10,360
Speaker 1: doesn't get more brittle when you like put the ax

1029
01:04:10,440 --> 01:04:15,960
Speaker 1: in and then well, cray wood will still split. But

1030
01:04:16,040 --> 01:04:18,440
Speaker 1: if you got any knots in it, it's just well,

1031
01:04:18,480 --> 01:04:20,920
Speaker 1: the but the end will dry on you. And also

1032
01:04:21,040 --> 01:04:23,200
Speaker 1: as it gets real dry, the whole thing is going

1033
01:04:23,240 --> 01:04:26,760
Speaker 1: to shrink and tighten. So moisture is actually a good thing.

1034
01:04:26,760 --> 01:04:28,120
Speaker 1: And that's why we're talking about the oak in the

1035
01:04:28,120 --> 01:04:30,760
Speaker 1: middle of winter, because if it's below zero, the moisture

1036
01:04:30,760 --> 01:04:33,600
Speaker 1: in that round or that log is going to be

1037
01:04:33,640 --> 01:04:36,720
Speaker 1: then it just wants to pop. It's already got pressure.

1038
01:04:38,120 --> 01:04:44,840
Speaker 1: Split heard trees. I'm thinking, right, he's got some naughty

1039
01:04:44,920 --> 01:04:52,280
Speaker 1: as spruce. Maybe spruce. You know, you know a good

1040
01:04:52,320 --> 01:04:54,680
Speaker 1: splitting log, You guys aren't probably familiar with it, But

1041
01:04:55,240 --> 01:04:58,120
Speaker 1: yellow cedar, that's a hell of splitting log. That makes

1042
01:04:58,120 --> 01:05:01,440
Speaker 1: first champ because you know, a picture making cedar shakes

1043
01:05:01,440 --> 01:05:04,240
Speaker 1: out of it right right, you feel like you're like

1044
01:05:04,280 --> 01:05:09,959
Speaker 1: the greatest man on the planet. Clear cedar splits nice. Yes, Uh,

1045
01:05:10,240 --> 01:05:13,840
Speaker 1: so you grew up splitting wood, grew up for home use,

1046
01:05:13,960 --> 01:05:17,040
Speaker 1: and then you guys became you guys became market wood choppers.

1047
01:05:17,080 --> 01:05:19,520
Speaker 1: Dad actually would hire assault to the neighbors to split

1048
01:05:19,560 --> 01:05:25,160
Speaker 1: their wood for them. Yeah, I love it much and

1049
01:05:25,240 --> 01:05:26,840
Speaker 1: not tell you what. There was a lot of wood

1050
01:05:26,920 --> 01:05:29,720
Speaker 1: split for a very little money. But you know his

1051
01:05:29,840 --> 01:05:32,040
Speaker 1: thing was like, this will make you so tough. You

1052
01:05:32,080 --> 01:05:37,800
Speaker 1: should will fight to get down the toilet, right. He

1053
01:05:37,840 --> 01:05:40,920
Speaker 1: would say, this will make it so tough. Blah blah blah.

1054
01:05:41,520 --> 01:05:43,480
Speaker 1: He would go to a neighbor who had a pile

1055
01:05:43,520 --> 01:05:45,600
Speaker 1: of unsplit wood and he'd say, my boys will come

1056
01:05:45,600 --> 01:05:47,440
Speaker 1: split it. Yep. Yeah, and then we got rouped in.

1057
01:05:47,440 --> 01:05:51,520
Speaker 1: After that, then it was bail and hay from the neighbors. Yeah.

1058
01:05:52,080 --> 01:05:55,600
Speaker 1: After we grew up. You if you want to if

1059
01:05:55,600 --> 01:05:58,360
Speaker 1: you want to eat, you gotta work, John Smith, Yeah,

1060
01:05:58,400 --> 01:06:00,440
Speaker 1: I got you. That was that's how we grew up.

1061
01:06:00,920 --> 01:06:02,800
Speaker 1: And at some point you started splitting it. You started

1062
01:06:02,800 --> 01:06:06,200
Speaker 1: cutting and splitting the cell. Well, he's always done a

1063
01:06:06,240 --> 01:06:08,520
Speaker 1: little bit. But then I had a buddy that had

1064
01:06:08,640 --> 01:06:10,800
Speaker 1: ninety acres of woods and he had oak wealth, which

1065
01:06:10,840 --> 01:06:13,800
Speaker 1: is goes off the red oaks, the black oaks, and

1066
01:06:13,880 --> 01:06:16,480
Speaker 1: he wanted it. Catton. I had always burnedood in my fireplace.

1067
01:06:17,040 --> 01:06:19,959
Speaker 1: Maybe four or five face chords or two fold chords

1068
01:06:20,000 --> 01:06:23,240
Speaker 1: a year or so and he he pause for seven.

1069
01:06:23,600 --> 01:06:26,320
Speaker 1: We need a breakdown of that. There's a lot of

1070
01:06:26,440 --> 01:06:31,480
Speaker 1: terminog You guys don't know terminology. I know some terminology

1071
01:06:31,520 --> 01:06:34,640
Speaker 1: you guys won't know. Why do you guys? Why are

1072
01:06:34,600 --> 01:06:37,160
Speaker 1: you guys talking about No one talks about face cords

1073
01:06:37,160 --> 01:06:39,520
Speaker 1: like you got Okay, but I wanted to ask this.

1074
01:06:39,600 --> 01:06:42,800
Speaker 1: You guys know the term of rick, yeah, v yeah,

1075
01:06:42,880 --> 01:06:46,440
Speaker 1: but why does no one know a thing? Okay, where's

1076
01:06:46,440 --> 01:06:50,000
Speaker 1: the region? Because in Michigan we have bubblers, water fountains,

1077
01:06:50,040 --> 01:06:52,400
Speaker 1: the water phone. Yeah, and you have rix and we

1078
01:06:52,400 --> 01:06:57,360
Speaker 1: have face cords there you go face court right, prior

1079
01:06:57,520 --> 01:07:00,160
Speaker 1: I knew rick. But are you have any idea where

1080
01:07:00,200 --> 01:07:02,480
Speaker 1: like what the etymology of the word rick is and

1081
01:07:02,520 --> 01:07:04,600
Speaker 1: how it's spelled. We don't know. R I c K

1082
01:07:04,760 --> 01:07:07,000
Speaker 1: is the way I know. See, we always we spell

1083
01:07:07,160 --> 01:07:10,439
Speaker 1: R I c Oh. Yes, I've seen it spelled that way.

1084
01:07:10,520 --> 01:07:13,640
Speaker 1: I have seen it. And it's a it's it's a

1085
01:07:13,760 --> 01:07:17,400
Speaker 1: sixteen inch it's a stack of sixteen inch logs. Well, okay,

1086
01:07:18,200 --> 01:07:21,120
Speaker 1: eight ft that's not a log, it's a piece or

1087
01:07:21,160 --> 01:07:25,000
Speaker 1: a log? Is the full sixteen inch pieces. So let's

1088
01:07:25,000 --> 01:07:29,000
Speaker 1: start from the beginning. Yes, that's a face, same thing

1089
01:07:29,040 --> 01:07:31,600
Speaker 1: as a rising. So I can tell you what that

1090
01:07:31,600 --> 01:07:35,000
Speaker 1: thing weighs. Well, it depends on species, It depends on

1091
01:07:35,000 --> 01:07:38,480
Speaker 1: if it's dry. Actually, can't remember remember someone weighing one

1092
01:07:38,520 --> 01:07:40,080
Speaker 1: and telling me though, Well, they tell me what a

1093
01:07:40,160 --> 01:07:43,760
Speaker 1: cord of oakways? Was it like five full full court

1094
01:07:43,760 --> 01:07:47,960
Speaker 1: of green oakways? Five grand? Yes? Wow? Remember so I

1095
01:07:47,960 --> 01:07:50,240
Speaker 1: had I took a three quarter ton truck and added

1096
01:07:50,360 --> 01:07:53,000
Speaker 1: enough lee springs to it. Well, I built a box,

1097
01:07:53,160 --> 01:07:56,040
Speaker 1: is like that was the right volume. I took a

1098
01:07:56,080 --> 01:07:58,800
Speaker 1: three quarter ton truck and added enough lee springs to it.

1099
01:07:58,800 --> 01:08:00,480
Speaker 1: It's funny because it like three quarter ton. You used

1100
01:08:00,480 --> 01:08:03,760
Speaker 1: to me like it's capacity. But I could put a

1101
01:08:03,880 --> 01:08:06,400
Speaker 1: cord of green oak in that truck. Yeah, we didn't

1102
01:08:06,440 --> 01:08:09,280
Speaker 1: like it. When you turn the wheel, it was light. Yeah,

1103
01:08:11,560 --> 01:08:16,760
Speaker 1: the worked really good. So to go back to the

1104
01:08:16,800 --> 01:08:18,519
Speaker 1: cord things, So you start with your tree. You cut

1105
01:08:18,560 --> 01:08:20,639
Speaker 1: your trees down. We cut in our era we kind

1106
01:08:20,640 --> 01:08:24,400
Speaker 1: of which is eight foot four inches standard because of

1107
01:08:24,439 --> 01:08:26,760
Speaker 1: the paper mills. That's what they want from that goes

1108
01:08:26,800 --> 01:08:29,720
Speaker 1: back to logging days were I in our area, they

1109
01:08:29,720 --> 01:08:32,320
Speaker 1: would float the wood down the river. Okay, that's how

1110
01:08:32,320 --> 01:08:36,000
Speaker 1: they got it out in the spring. And so you

1111
01:08:36,040 --> 01:08:37,800
Speaker 1: need a trim on the end of that log. If

1112
01:08:37,840 --> 01:08:40,080
Speaker 1: it was going to be lumber, you didn't cut it

1113
01:08:40,120 --> 01:08:43,080
Speaker 1: eight foot. It wasn't eight foot. You left four inches.

1114
01:08:43,080 --> 01:08:44,880
Speaker 1: You've got a couple inches of trim on each end.

1115
01:08:45,040 --> 01:08:51,200
Speaker 1: Damage for trim. So meaning that when it was getting floated,

1116
01:08:51,200 --> 01:08:53,920
Speaker 1: it would get dinged up. Rocks, Yeah, they get dinged up.

1117
01:08:53,960 --> 01:08:56,160
Speaker 1: They would get getting dinged up on you end. You don't.

1118
01:08:56,479 --> 01:09:00,160
Speaker 1: Actually they never floated. I don't think hardwood. Hardwood doesn't.

1119
01:09:00,200 --> 01:09:04,000
Speaker 1: They were floating basically pine that was back in the

1120
01:09:03,760 --> 01:09:08,360
Speaker 1: true They didn't float hardwood. It doesn't doesn't. It's really

1121
01:09:08,360 --> 01:09:12,479
Speaker 1: you're not going very far. It's on the bottom, very heavy.

1122
01:09:13,560 --> 01:09:15,360
Speaker 1: They always had to be. That always had to be

1123
01:09:15,400 --> 01:09:20,200
Speaker 1: like wagoned out in the big lumber boom days. We

1124
01:09:20,200 --> 01:09:24,040
Speaker 1: weren't work that. No, that was in the winter with horses.

1125
01:09:24,040 --> 01:09:25,759
Speaker 1: They would they would s get it out with horses.

1126
01:09:26,120 --> 01:09:28,320
Speaker 1: I never thought about I assumed all that ship went

1127
01:09:28,360 --> 01:09:33,600
Speaker 1: down the rivers. No, No, not hard wine. Maybe some

1128
01:09:33,720 --> 01:09:37,120
Speaker 1: spruce and balsom. But in our area with the big

1129
01:09:37,120 --> 01:09:40,479
Speaker 1: white pine was a big opener care area where I live,

1130
01:09:40,840 --> 01:09:43,439
Speaker 1: so eight foot logs, so yeah, a foot logs and

1131
01:09:43,479 --> 01:09:45,040
Speaker 1: then they're loaded onto log trucks and they go to

1132
01:09:45,080 --> 01:09:47,040
Speaker 1: the paper mills and that's kind of a standard operating

1133
01:09:47,080 --> 01:09:49,160
Speaker 1: size and then they get shipped and turned into paper.

1134
01:09:49,160 --> 01:09:50,960
Speaker 1: In our area, that's the big thing. And then there's

1135
01:09:50,960 --> 01:09:54,240
Speaker 1: amber mills. Um. So in other areas of the country

1136
01:09:54,240 --> 01:09:56,160
Speaker 1: you're gonna be on, like the West coast, they do

1137
01:09:56,280 --> 01:09:59,000
Speaker 1: whole trees, all the whole tree out at one time,

1138
01:09:59,439 --> 01:10:02,600
Speaker 1: not the whole the log from the butt that's the

1139
01:10:02,600 --> 01:10:04,240
Speaker 1: bottom of the tree, the butt where the rid flares,

1140
01:10:04,920 --> 01:10:07,000
Speaker 1: the butt cut all the way to the top where

1141
01:10:07,000 --> 01:10:09,160
Speaker 1: it gets too small where it's not worth anything anymore.

1142
01:10:09,160 --> 01:10:11,599
Speaker 1: They all the whole tree out, um. But in our

1143
01:10:11,640 --> 01:10:13,759
Speaker 1: area because they want to be able to handle it.

1144
01:10:13,760 --> 01:10:17,800
Speaker 1: It's states is set up for for eight foot wood,

1145
01:10:17,880 --> 01:10:21,720
Speaker 1: which is hunter wood. Is you know at least they

1146
01:10:21,720 --> 01:10:25,120
Speaker 1: do fold trees or sixteen footers, twenty photers. I mean,

1147
01:10:25,160 --> 01:10:29,040
Speaker 1: there's whatever the mills were set up to handle that

1148
01:10:29,160 --> 01:10:32,120
Speaker 1: would um. We had a mill that I sent would

1149
01:10:32,120 --> 01:10:35,280
Speaker 1: to not that many years ago they closed it down though. Uh.

1150
01:10:35,320 --> 01:10:39,880
Speaker 1: They used aspen was their big thing, and they had um.

1151
01:10:40,040 --> 01:10:43,480
Speaker 1: The way they produced their pulp they had pocket grinders

1152
01:10:44,280 --> 01:10:47,639
Speaker 1: and they would manually lift the wood into the pocket grinder.

1153
01:10:47,720 --> 01:10:49,599
Speaker 1: It was on a big stone and there was steam

1154
01:10:49,640 --> 01:10:52,639
Speaker 1: pressure in there and the wood would go into the

1155
01:10:52,680 --> 01:10:55,760
Speaker 1: spinning stone at an angle like this, and that's how

1156
01:10:55,800 --> 01:10:58,160
Speaker 1: they got their finest pulp. It was a real fine

1157
01:10:58,240 --> 01:11:02,400
Speaker 1: pulp from fine paper. And so they would take the

1158
01:11:02,479 --> 01:11:05,720
Speaker 1: eight foot logs and cut him in half. Of course,

1159
01:11:05,760 --> 01:11:08,400
Speaker 1: these are all peeled, there's no bark. Was always off

1160
01:11:08,760 --> 01:11:12,719
Speaker 1: the bark with the tumbling. Yeah, everything everything's way work mechanized.

1161
01:11:12,760 --> 01:11:14,800
Speaker 1: But when I started with a company i retired from,

1162
01:11:14,880 --> 01:11:17,120
Speaker 1: they were still using pocket grinders. It was one of

1163
01:11:17,160 --> 01:11:19,880
Speaker 1: the last ones left in the country. You already retired.

1164
01:11:21,200 --> 01:11:27,040
Speaker 1: I'm from from that thing. I'm back doing we do stuff.

1165
01:11:27,080 --> 01:11:32,280
Speaker 1: You're never retired, man, don't you know Guys calling me,

1166
01:11:32,439 --> 01:11:34,120
Speaker 1: come on, you can work for me, Come on, work

1167
01:11:34,160 --> 01:11:35,880
Speaker 1: for me. I like, well, you know, the snow is

1168
01:11:35,920 --> 01:11:38,639
Speaker 1: getting deep. I don't do firewood right now. So I'm like, okay,

1169
01:11:38,640 --> 01:11:40,439
Speaker 1: I'll come back for a while. We'll see where it goes.

1170
01:11:40,960 --> 01:11:43,719
Speaker 1: M hm. So, so we'll go back to the logs,

1171
01:11:43,760 --> 01:11:46,320
Speaker 1: your eight foot logs, and if you stack them so

1172
01:11:46,400 --> 01:11:49,120
Speaker 1: there are four ft wide, four ft high. That's what's

1173
01:11:49,120 --> 01:11:53,160
Speaker 1: considered a pulp chord. That's like full full colog Yeah,

1174
01:11:53,160 --> 01:11:56,160
Speaker 1: I wouldn't say it again. It's a full eight ft

1175
01:11:56,160 --> 01:12:00,599
Speaker 1: logs four ft high, four ft wide world by four

1176
01:12:00,680 --> 01:12:05,960
Speaker 1: pile is a chord. That's a cord cubic feet. And however,

1177
01:12:06,040 --> 01:12:08,400
Speaker 1: how we buy it off the truck. But now everything

1178
01:12:08,439 --> 01:12:11,320
Speaker 1: is getting converted to tons. Now they're buying tons of

1179
01:12:11,439 --> 01:12:13,840
Speaker 1: the paper industry for the paper industry. Yes, but from

1180
01:12:13,840 --> 01:12:16,280
Speaker 1: our purpose is what happens then is so you get

1181
01:12:16,280 --> 01:12:18,600
Speaker 1: your full log cord. That's the way I refer to it.

1182
01:12:18,680 --> 01:12:21,040
Speaker 1: I don't know if everybody else does. When you process

1183
01:12:21,120 --> 01:12:24,400
Speaker 1: that would into your sixteen inch pieces, cutting it, splitting it,

1184
01:12:24,479 --> 01:12:26,519
Speaker 1: stacking it, you end up with about two and a

1185
01:12:26,600 --> 01:12:30,519
Speaker 1: half two point five face cords, or not quite a

1186
01:12:30,600 --> 01:12:33,719
Speaker 1: full chord because you're reducing the size any any space

1187
01:12:33,760 --> 01:12:36,000
Speaker 1: in there, the roundness of the logs. You're gonna have

1188
01:12:36,120 --> 01:12:40,120
Speaker 1: voids in the pile of your logs back up. I'm

1189
01:12:40,160 --> 01:12:45,240
Speaker 1: getting it. I'm getting it, but I'm confused. I would

1190
01:12:45,240 --> 01:12:50,439
Speaker 1: expect that it would. Yeah, I was expecting, because you're

1191
01:12:50,439 --> 01:12:52,800
Speaker 1: never gonna put a log back together. You're also your

1192
01:12:52,800 --> 01:12:54,559
Speaker 1: curve is the eighth of an inch and you're cutting.

1193
01:12:55,200 --> 01:12:59,559
Speaker 1: That's you, And I get what you're saying. You don't

1194
01:12:59,560 --> 01:13:02,679
Speaker 1: have all those you don't have all those spaces between

1195
01:13:02,680 --> 01:13:07,599
Speaker 1: the logs reduces in volume. Yeah, you get two point

1196
01:13:07,640 --> 01:13:10,880
Speaker 1: five on really big wood. If you're cutting likes and

1197
01:13:10,920 --> 01:13:20,920
Speaker 1: stuff like I cut you, you will get yea and

1198
01:13:21,120 --> 01:13:28,920
Speaker 1: young Frankenstein, young and young Frankenstein. Gene Wilder, that's young Frankenstein.

1199
01:13:29,000 --> 01:13:33,240
Speaker 1: Gene Wilder sends his lackey. What's his name? Igor? He

1200
01:13:33,360 --> 01:13:37,719
Speaker 1: sends Egor. He needs a brain, So he sends Igor

1201
01:13:37,880 --> 01:13:41,320
Speaker 1: down to to get a brain off off a dead person,

1202
01:13:41,439 --> 01:13:43,640
Speaker 1: a new dead person, and he puts the brain in

1203
01:13:43,720 --> 01:13:47,759
Speaker 1: his monster, and the monster goes berserk, and he says,

1204
01:13:47,960 --> 01:13:53,080
Speaker 1: what was the name on whose brain did you get?

1205
01:13:54,200 --> 01:13:57,519
Speaker 1: He says, I think that her name was Abby? And

1206
01:13:57,560 --> 01:13:59,680
Speaker 1: then he says what was her last name? And it

1207
01:13:59,760 --> 01:14:03,519
Speaker 1: was I think it was Abby normal normal, and you

1208
01:14:03,560 --> 01:14:07,479
Speaker 1: had gotten an abnormal. Yeah, that's so that's the wood

1209
01:14:07,520 --> 01:14:11,759
Speaker 1: I cut, is the abbey wood, because I could always

1210
01:14:11,800 --> 01:14:15,400
Speaker 1: get it for cheap or free. Nobody wants to work

1211
01:14:15,439 --> 01:14:17,800
Speaker 1: that freaking hard. We get that, we get that lot

1212
01:14:17,920 --> 01:14:22,760
Speaker 1: to make big pieces of wood small. So but I've

1213
01:14:22,760 --> 01:14:24,880
Speaker 1: been working hard in my whole life. It's just normal

1214
01:14:24,960 --> 01:14:26,400
Speaker 1: for me. We get a lot of people that will

1215
01:14:26,439 --> 01:14:28,519
Speaker 1: watch Kenny and I cut some of his big stuff.

1216
01:14:28,520 --> 01:14:30,719
Speaker 1: We cult the abbey wood, and they're like, you should

1217
01:14:30,720 --> 01:14:32,960
Speaker 1: be turning that into slabs. You should be turned in

1218
01:14:33,040 --> 01:14:36,320
Speaker 1: into lumber. That's ridiculous. You're gonna burn it. That's a waste.

1219
01:14:36,360 --> 01:14:38,000
Speaker 1: You mean to tell me that. You put a video

1220
01:14:38,040 --> 01:14:43,439
Speaker 1: out and someone has a better idea every day. You

1221
01:14:43,520 --> 01:14:45,920
Speaker 1: can't do nothing. The reason I'm bringing this up as

1222
01:14:45,960 --> 01:14:48,479
Speaker 1: the thing is that would was rejected from the lumber

1223
01:14:48,520 --> 01:14:52,320
Speaker 1: mill because we did gotten flaws crooked. We did what

1224
01:14:52,439 --> 01:14:55,240
Speaker 1: three loads, well, I did three loads of that, semi loads,

1225
01:14:55,520 --> 01:15:00,679
Speaker 1: se truckloads, truck loads, semi loads. So this would so big.

1226
01:15:00,760 --> 01:15:04,479
Speaker 1: I bought it from my the last job I had

1227
01:15:05,200 --> 01:15:08,519
Speaker 1: they had, I worked for a sawmill, so I mean

1228
01:15:08,600 --> 01:15:11,080
Speaker 1: to deal with them. I bought all their reject would

1229
01:15:11,200 --> 01:15:13,639
Speaker 1: like a year and a half ago. So all their

1230
01:15:13,640 --> 01:15:15,800
Speaker 1: stuff they had they went through the metal detector, had

1231
01:15:15,920 --> 01:15:18,840
Speaker 1: nails and spikes and saw blades and whatever in it.

1232
01:15:19,439 --> 01:15:22,280
Speaker 1: All that it was actually oversized wood. They could not

1233
01:15:22,479 --> 01:15:24,600
Speaker 1: run through their saw mill. It was too big for

1234
01:15:24,680 --> 01:15:27,080
Speaker 1: their mill and then people say, well, why did they

1235
01:15:27,080 --> 01:15:31,080
Speaker 1: buy it? They buy sales. They might say, okay, they bought,

1236
01:15:31,080 --> 01:15:33,559
Speaker 1: you know, a hundred acres sail. We're logging this off

1237
01:15:34,280 --> 01:15:35,880
Speaker 1: and the tree is marked by the forester or the

1238
01:15:35,960 --> 01:15:38,160
Speaker 1: tree has got to be cut and on the bottom

1239
01:15:38,200 --> 01:15:41,280
Speaker 1: cut that's a fifty in butt cut. They can't run it,

1240
01:15:41,479 --> 01:15:43,280
Speaker 1: but they're paying their crew to cut it. That crew

1241
01:15:43,360 --> 01:15:44,720
Speaker 1: is going to get paid to cut it because they

1242
01:15:44,800 --> 01:15:46,400
Speaker 1: got to bring it out. That trees mark. You don't

1243
01:15:46,439 --> 01:15:49,320
Speaker 1: leave it late is you're probably deal with. You bought

1244
01:15:49,320 --> 01:15:51,760
Speaker 1: the sail. So they end up with all these You know,

1245
01:15:51,800 --> 01:15:53,280
Speaker 1: they might only get one or two of those on

1246
01:15:53,360 --> 01:15:55,120
Speaker 1: a job, but over a couple of years, now all

1247
01:15:55,120 --> 01:15:57,160
Speaker 1: there's truckloads of laying out in the back. We don't

1248
01:15:57,160 --> 01:16:00,720
Speaker 1: know what to do with them. So utilizing a resource, um,

1249
01:16:00,920 --> 01:16:04,519
Speaker 1: I know, how dummy, he'll buy them. So well, and

1250
01:16:04,560 --> 01:16:07,920
Speaker 1: I've been doing this for years, they said, but you

1251
01:16:08,000 --> 01:16:11,519
Speaker 1: got to take it all. So I bought like twelve

1252
01:16:11,600 --> 01:16:16,080
Speaker 1: or fifteen truckloads last year of this stuff. Well it

1253
01:16:16,240 --> 01:16:19,679
Speaker 1: wasn't all. There was three loads of just abby wood. Yes,

1254
01:16:19,960 --> 01:16:22,040
Speaker 1: well on one truckload he got how many how many

1255
01:16:22,040 --> 01:16:24,200
Speaker 1: logs did you have on one truckload. Normally you'll have

1256
01:16:24,280 --> 01:16:30,960
Speaker 1: hundreds five. No, there was that was like one. That's

1257
01:16:31,240 --> 01:16:36,200
Speaker 1: that's what is. There's a video, you can watch the videos.

1258
01:16:37,800 --> 01:16:41,000
Speaker 1: That's they're out there. But what are you paying? Um?

1259
01:16:41,120 --> 01:16:43,160
Speaker 1: What are you willing to pay? Let me start off

1260
01:16:44,920 --> 01:16:48,400
Speaker 1: when I sold firewood. Um, I was selling firewood from

1261
01:16:48,520 --> 01:16:55,400
Speaker 1: like ninety to nine six. You would get you could

1262
01:16:55,439 --> 01:16:57,280
Speaker 1: sell if you wanted to sell, if you were hurting

1263
01:16:57,280 --> 01:17:03,360
Speaker 1: for cash, you could sell green split hardwood for about

1264
01:17:03,400 --> 01:17:08,200
Speaker 1: sixty or seventy bucks accord green. No, dude, I'm telling

1265
01:17:08,240 --> 01:17:13,160
Speaker 1: what it was. Back then, I would I would stack

1266
01:17:13,280 --> 01:17:16,439
Speaker 1: mine up and then sell it. This is in those years,

1267
01:17:16,560 --> 01:17:20,920
Speaker 1: I would sell mape. It was maple oak beach split

1268
01:17:21,320 --> 01:17:26,599
Speaker 1: dried delivered ninety dollars a cord for a full court. Listen,

1269
01:17:26,600 --> 01:17:29,880
Speaker 1: I don't yeah. Was it a pick up load or

1270
01:17:30,120 --> 01:17:43,160
Speaker 1: like your full measured cubic feet of split dried delivered hardwood. Maybe,

1271
01:17:43,160 --> 01:17:45,360
Speaker 1: depending on like the severity of the winner and ship

1272
01:17:45,400 --> 01:17:47,040
Speaker 1: and how long you were willing to hold it, you

1273
01:17:47,040 --> 01:17:49,440
Speaker 1: could maybe get a hundred. But that was the most advertarge.

1274
01:17:49,600 --> 01:17:51,760
Speaker 1: But I knew guys that would that would build. They

1275
01:17:51,760 --> 01:17:56,040
Speaker 1: would take a mobile home trailers, those big huge and

1276
01:17:56,120 --> 01:17:58,839
Speaker 1: they beef them out and they would drive wood Detroit

1277
01:17:58,920 --> 01:18:01,240
Speaker 1: and they would sell it for three Oh yeah yeah.

1278
01:18:02,360 --> 01:18:04,600
Speaker 1: Where he sells here's woe, and where I sells what is?

1279
01:18:05,680 --> 01:18:08,800
Speaker 1: And but what is the give me the economics on it,

1280
01:18:08,840 --> 01:18:10,639
Speaker 1: not like what are you willing to pay for an

1281
01:18:10,800 --> 01:18:15,880
Speaker 1: un split cord? I would pay from zero to five dollars.

1282
01:18:16,560 --> 01:18:18,000
Speaker 1: But I was never like big time about I'll just

1283
01:18:18,000 --> 01:18:20,559
Speaker 1: do like something to make money. I'd pay from zero

1284
01:18:20,600 --> 01:18:22,240
Speaker 1: to five for the stuff, and I'd sell it for

1285
01:18:22,240 --> 01:18:24,120
Speaker 1: what I just said I'd sell it for. I got

1286
01:18:24,120 --> 01:18:27,400
Speaker 1: a lot of tree service would for free, which trees

1287
01:18:27,479 --> 01:18:29,880
Speaker 1: that are being taken down to neighborhoods that are dead, dying,

1288
01:18:30,280 --> 01:18:35,600
Speaker 1: dangerous right now? You got the UH killing all the

1289
01:18:35,640 --> 01:18:37,600
Speaker 1: ash and Wisconsin now, so then we're all getting to

1290
01:18:37,800 --> 01:18:40,599
Speaker 1: probably got three truck loads semiloads of that this year,

1291
01:18:40,600 --> 01:18:44,639
Speaker 1: which is each truckle is going to have folk cords

1292
01:18:44,680 --> 01:18:47,559
Speaker 1: on it, getting it free, not only free, they bring

1293
01:18:47,560 --> 01:18:50,719
Speaker 1: it to me delivered delivered. And what do you sell?

1294
01:18:50,840 --> 01:18:54,240
Speaker 1: What's would selling for right now? Like just general average

1295
01:18:54,240 --> 01:18:58,120
Speaker 1: around the country for split hardwood. I'll mention that first. Yeah,

1296
01:18:58,120 --> 01:19:00,839
Speaker 1: I want to go back I'll go back to mention um.

1297
01:19:00,880 --> 01:19:03,479
Speaker 1: The wood that I do buy, the better would quality.

1298
01:19:03,520 --> 01:19:06,320
Speaker 1: Way you talked about those veneers, like if you buy bolts,

1299
01:19:06,400 --> 01:19:10,320
Speaker 1: which is a very good straight log I will pay

1300
01:19:10,720 --> 01:19:14,960
Speaker 1: anywhere from four hundred to six d first semi load.

1301
01:19:16,120 --> 01:19:18,120
Speaker 1: So I'm paying about a hundred and ten hundred twenty

1302
01:19:18,160 --> 01:19:22,680
Speaker 1: dollars per full cord of logs. What beautiful sts by

1303
01:19:22,720 --> 01:19:24,960
Speaker 1: it costs. And I have a firewood processor now and

1304
01:19:25,040 --> 01:19:27,360
Speaker 1: it likes that kind of would and I can produce,

1305
01:19:27,439 --> 01:19:29,920
Speaker 1: I can, I can process that whole load one day,

1306
01:19:30,960 --> 01:19:35,080
Speaker 1: God speed everything, time is everything, and then sell that

1307
01:19:35,160 --> 01:19:38,600
Speaker 1: for two three plus. It's easy to handle. Yeah, but

1308
01:19:38,600 --> 01:19:40,080
Speaker 1: you gotta get it, they wanted. Most people want to

1309
01:19:40,120 --> 01:19:43,000
Speaker 1: dry so and a machine does most of the work.

1310
01:19:43,400 --> 01:19:45,559
Speaker 1: But the machine was donated to me by one of

1311
01:19:45,600 --> 01:19:51,400
Speaker 1: my people that kool aid drinkers, No No No runs

1312
01:19:51,400 --> 01:19:54,400
Speaker 1: a business. It's East Eastern made. Andrews a smart man.

1313
01:19:55,120 --> 01:19:58,439
Speaker 1: It's Eastern made wood processors and splitters. So he wanted

1314
01:19:58,439 --> 01:20:00,640
Speaker 1: people to see his ship in action. I asked. I

1315
01:20:00,640 --> 01:20:02,320
Speaker 1: asked him, I said, so what do you do for advertising?

1316
01:20:02,320 --> 01:20:07,880
Speaker 1: He says, um, yere at So he said, just make videos.

1317
01:20:07,880 --> 01:20:10,880
Speaker 1: So you're hauling, asked you so much? Would sold a

1318
01:20:10,920 --> 01:20:15,160
Speaker 1: lot of stuff for this guy by having his YouTube

1319
01:20:15,160 --> 01:20:17,719
Speaker 1: traveling there over a year behind on selling their machines

1320
01:20:17,760 --> 01:20:19,439
Speaker 1: from the time people order to the time they can

1321
01:20:19,439 --> 01:20:22,439
Speaker 1: produce it, and they just keep growing. So we've done

1322
01:20:22,439 --> 01:20:24,439
Speaker 1: a lot of advertising forms. So anybody gives me stuff,

1323
01:20:24,439 --> 01:20:25,960
Speaker 1: They're gonna sell a lot of stuff. It's the way

1324
01:20:26,000 --> 01:20:28,519
Speaker 1: it works. You hear that people because I got the eyeballs,

1325
01:20:28,560 --> 01:20:30,160
Speaker 1: that's what they want. Oh, you should talk about how

1326
01:20:30,200 --> 01:20:32,880
Speaker 1: you need to cup snowbills. I don't need to just

1327
01:20:32,920 --> 01:20:37,759
Speaker 1: come on now, I don't need man somebody else, Well,

1328
01:20:37,800 --> 01:20:43,080
Speaker 1: you could get it and donated. So that that's in

1329
01:20:43,160 --> 01:20:45,760
Speaker 1: the woodyard. That's in the wood And I started and

1330
01:20:45,800 --> 01:20:48,080
Speaker 1: when did you start in the woodyard about two years ago.

1331
01:20:48,160 --> 01:20:50,960
Speaker 1: And it's because my son, uh is the I T guy,

1332
01:20:51,000 --> 01:20:52,519
Speaker 1: and he says, you know, Dad, what you're doing is

1333
01:20:52,800 --> 01:20:56,880
Speaker 1: interesting to some people. And because I'm a by trade,

1334
01:20:56,920 --> 01:20:59,599
Speaker 1: I'm i'm I've been self employed for forty years. I'm

1335
01:20:59,600 --> 01:21:02,920
Speaker 1: a full time professional photographers what I do. So I

1336
01:21:02,960 --> 01:21:05,200
Speaker 1: had the skills there, had a skill set I brought

1337
01:21:05,240 --> 01:21:07,840
Speaker 1: to the table there. He helped me set it all up.

1338
01:21:08,080 --> 01:21:10,080
Speaker 1: I know editing. I know how to do all everything

1339
01:21:10,160 --> 01:21:12,360
Speaker 1: needs to be done for it. I'm not afraid of people.

1340
01:21:12,360 --> 01:21:13,840
Speaker 1: I'm not afraid to talk. And I mean there's a

1341
01:21:13,880 --> 01:21:16,280
Speaker 1: lot of people that freeze up in front of the camera.

1342
01:21:16,320 --> 01:21:18,640
Speaker 1: As you know, it's hard to get him to and

1343
01:21:18,640 --> 01:21:21,400
Speaker 1: be themselves. I have no problem with it. I give

1344
01:21:21,400 --> 01:21:23,960
Speaker 1: you can, I give you can. I give you my

1345
01:21:24,000 --> 01:21:30,160
Speaker 1: take on that subject. There's three kinds of people. Not

1346
01:21:30,160 --> 01:21:33,840
Speaker 1: not really, but there's three things that happened. Um. I

1347
01:21:33,920 --> 01:21:36,400
Speaker 1: found that you can have someone that, like you got

1348
01:21:36,479 --> 01:21:39,639
Speaker 1: a friend or whatever, and they have a great personality, okay,

1349
01:21:39,800 --> 01:21:43,080
Speaker 1: and you point a camera at him, it just stops,

1350
01:21:43,320 --> 01:21:47,400
Speaker 1: it shuts down. You could know someone that has no personality.

1351
01:21:48,280 --> 01:21:49,800
Speaker 1: You put a camera on him and they make one

1352
01:21:49,880 --> 01:21:54,640
Speaker 1: up and people see through that though, Or you'd have

1353
01:21:54,720 --> 01:21:58,800
Speaker 1: a person I'm talking to you, Kevin Murphy, who Kevin

1354
01:21:58,880 --> 01:22:03,120
Speaker 1: Murphy dug during Okay, they're the way they are and

1355
01:22:03,160 --> 01:22:05,240
Speaker 1: you love them and you put a camera on them.

1356
01:22:05,600 --> 01:22:11,360
Speaker 1: Nothing changes, nothing changes. That's gold. That's what you want.

1357
01:22:11,439 --> 01:22:17,000
Speaker 1: That's gold. That's Kenny. I'm there's no filter. Actually I'm

1358
01:22:17,040 --> 01:22:19,040
Speaker 1: the test dummy. Man. Just keep going the way they

1359
01:22:19,080 --> 01:22:21,479
Speaker 1: were going. He makes me do a lot of editing.

1360
01:22:21,600 --> 01:22:24,080
Speaker 1: I've been to test dummy my whole life. What do

1361
01:22:24,080 --> 01:22:25,840
Speaker 1: you get? What are you getting out of this whole thing?

1362
01:22:25,800 --> 01:22:29,800
Speaker 1: He's here last year and invite from one of my

1363
01:22:29,920 --> 01:22:33,600
Speaker 1: viewers to go to uh New Mexico. Al Kin, I

1364
01:22:33,640 --> 01:22:35,840
Speaker 1: get to go along here, I am to go along.

1365
01:22:36,479 --> 01:22:38,639
Speaker 1: It's great, and I give him free stuff. He gets

1366
01:22:38,680 --> 01:22:40,160
Speaker 1: a lot of free labor from meeks. I go help

1367
01:22:40,240 --> 01:22:42,880
Speaker 1: him out waiting. I was promised that he was going

1368
01:22:42,920 --> 01:22:45,679
Speaker 1: to bring a processor up two years ago and process

1369
01:22:45,800 --> 01:22:49,559
Speaker 1: my wood for me. It hasn't showed you what you guys,

1370
01:22:49,920 --> 01:22:53,479
Speaker 1: but you guys have your wood businesses are different. Yeah, totally.

1371
01:22:53,680 --> 01:22:57,280
Speaker 1: Why not combine your wood businesses miles away from me? Yeah?

1372
01:22:57,280 --> 01:23:00,719
Speaker 1: It's He's a northern Wisconsin and sounds all the people

1373
01:23:00,720 --> 01:23:03,120
Speaker 1: are they want to buy expensive wood to burn in

1374
01:23:03,160 --> 01:23:06,160
Speaker 1: their backyard. I supply people that heat their homes, So

1375
01:23:06,240 --> 01:23:10,519
Speaker 1: people eating your homes want to save money, right, and

1376
01:23:09,439 --> 01:23:15,920
Speaker 1: I saw my wood way cheap, way cheap. My people

1377
01:23:15,920 --> 01:23:19,200
Speaker 1: are literally literally burning money. They're sitting by the fireplace,

1378
01:23:19,280 --> 01:23:21,920
Speaker 1: drinking bear watching sports. I was at a fundraiser one

1379
01:23:21,960 --> 01:23:24,920
Speaker 1: time in New York and a guy told me that

1380
01:23:25,000 --> 01:23:28,640
Speaker 1: he had he was in He was in finance, so

1381
01:23:28,720 --> 01:23:30,680
Speaker 1: he was in Wall Street finance, but had found a

1382
01:23:30,760 --> 01:23:33,919
Speaker 1: side gig that he was really passionate about. He described

1383
01:23:34,000 --> 01:23:38,280
Speaker 1: as being in the designer firewood business where they were

1384
01:23:38,320 --> 01:23:43,439
Speaker 1: taking orchard like when you would redo apple orchards, big

1385
01:23:43,560 --> 01:23:47,040
Speaker 1: money cuts a very uniform peace, and he would kill

1386
01:23:47,320 --> 01:23:51,320
Speaker 1: dry the firewood because people wanted to have a stack

1387
01:23:51,360 --> 01:23:55,720
Speaker 1: of firewood in their house as an ornament. But they

1388
01:23:55,800 --> 01:23:57,960
Speaker 1: want that ship to be that you could bang it

1389
01:23:57,960 --> 01:24:00,519
Speaker 1: and no sawdust comes off. So he said it is

1390
01:24:00,560 --> 01:24:02,639
Speaker 1: like you don't even need to dust this ship once

1391
01:24:02,640 --> 01:24:07,160
Speaker 1: you stack in your house. He said it was a

1392
01:24:07,240 --> 01:24:09,600
Speaker 1: designer fire would company. He didn't want to tell me

1393
01:24:09,640 --> 01:24:13,040
Speaker 1: what he gets for a stack of that kiln dried,

1394
01:24:13,320 --> 01:24:16,439
Speaker 1: all cut the same, and you design in your house

1395
01:24:16,520 --> 01:24:19,599
Speaker 1: next to your fireplace a little wood stack. He fills

1396
01:24:19,640 --> 01:24:22,479
Speaker 1: that stack with wood that. Oh you know what's funny.

1397
01:24:22,520 --> 01:24:24,479
Speaker 1: I'll tell you something there at night. Uh, Phelps, you're

1398
01:24:24,479 --> 01:24:27,599
Speaker 1: about Phelps in the scorpion. He sent me a picture

1399
01:24:27,600 --> 01:24:30,720
Speaker 1: of a scorpion in a bed. So I think that

1400
01:24:30,960 --> 01:24:34,280
Speaker 1: we're burning like we're burning oak down in Sonora, and

1401
01:24:34,479 --> 01:24:37,439
Speaker 1: every piece of oak is hollow and it's just a

1402
01:24:37,560 --> 01:24:41,800
Speaker 1: huge dump of like oak warming up inside this house,

1403
01:24:41,840 --> 01:24:44,720
Speaker 1: next to this fireplace. And Phelps is right by the

1404
01:24:44,720 --> 01:24:46,720
Speaker 1: fireplace and right by the oak. And he was the

1405
01:24:46,720 --> 01:24:49,120
Speaker 1: guy every night like he's like throwing oak into this

1406
01:24:49,160 --> 01:24:52,479
Speaker 1: big fireplace. One night he wakes me up. We're sleeping

1407
01:24:52,479 --> 01:24:54,960
Speaker 1: next to each other. He's in his sleeping bag, out

1408
01:24:55,000 --> 01:24:56,920
Speaker 1: in my sleep bag. And he wakes up just all

1409
01:24:57,040 --> 01:25:02,320
Speaker 1: worked up. And he got a scorpion got him on

1410
01:25:02,400 --> 01:25:05,880
Speaker 1: the inside of his left thigh, the inside of his

1411
01:25:06,000 --> 01:25:08,160
Speaker 1: right thigh. He put his hand on here, trying to

1412
01:25:08,160 --> 01:25:09,880
Speaker 1: figure out what was going on, and got it right

1413
01:25:09,880 --> 01:25:15,040
Speaker 1: in the thumb. The I believe he said it felt

1414
01:25:15,120 --> 01:25:20,080
Speaker 1: He thought he thought that he was getting in an

1415
01:25:20,080 --> 01:25:23,200
Speaker 1: electrical shock from a cactus thorn. That is what he

1416
01:25:23,200 --> 01:25:25,840
Speaker 1: said it felt like. And then he was trying to

1417
01:25:25,880 --> 01:25:27,600
Speaker 1: figure out if he's gonna wake up dead or not,

1418
01:25:27,720 --> 01:25:29,200
Speaker 1: you know, if he goes back to sleep. But he

1419
01:25:29,240 --> 01:25:31,439
Speaker 1: was still he was hurting pretty good. Did you have

1420
01:25:31,479 --> 01:25:35,439
Speaker 1: any effects? Hurt him bad, but not his his his

1421
01:25:35,520 --> 01:25:40,240
Speaker 1: thumb went numb down to the wrist whoa, and his legs.

1422
01:25:40,360 --> 01:25:44,800
Speaker 1: If he'd whenever he'd walk, he'd get little just being

1423
01:25:44,840 --> 01:25:46,880
Speaker 1: a guy. If it's on either side of his grin.

1424
01:25:47,120 --> 01:25:49,680
Speaker 1: It didn't affect anything, not that I've heard of him.

1425
01:25:50,840 --> 01:25:52,559
Speaker 1: I called him a smorning to check on him, because

1426
01:25:52,560 --> 01:25:54,040
Speaker 1: then he fell back to sleep and I woke him

1427
01:25:54,120 --> 01:25:56,160
Speaker 1: up and to see if he was doing all right.

1428
01:25:56,320 --> 01:26:00,960
Speaker 1: But yeah, he Uh, did you guys contact to doctor. No.

1429
01:26:01,040 --> 01:26:05,240
Speaker 1: But we detained the scorpion. That doesn't seem really helpful

1430
01:26:05,320 --> 01:26:09,400
Speaker 1: to Jason. I detained it live if you started, because

1431
01:26:09,520 --> 01:26:14,679
Speaker 1: I wanted to be it's still detained because if something

1432
01:26:14,760 --> 01:26:19,000
Speaker 1: happens to him, we wanted to be like here it is. Yeah,

1433
01:26:19,439 --> 01:26:22,200
Speaker 1: So we had it and then we're trying to move

1434
01:26:22,280 --> 01:26:24,320
Speaker 1: how we had it detained and it almost got loose

1435
01:26:24,360 --> 01:26:27,800
Speaker 1: in the truck, but it's it's secure that it sits

1436
01:26:27,880 --> 01:26:29,800
Speaker 1: right now in a tile on all bottle. Is it

1437
01:26:29,840 --> 01:26:33,360
Speaker 1: a big one? The biggest scorpion ever? I'm not are

1438
01:26:33,360 --> 01:26:36,360
Speaker 1: the most? Yeah, that's all is it is? He okay?

1439
01:26:36,400 --> 01:26:41,840
Speaker 1: Now I tried to call morning. I haven't heard this scorpion.

1440
01:26:42,040 --> 01:26:44,479
Speaker 1: This scorpion is the size of your pinky finger, the

1441
01:26:44,479 --> 01:26:52,280
Speaker 1: size of my pinky finger. Huge. Back to what was

1442
01:26:52,320 --> 01:27:00,200
Speaker 1: I saying, I don't know we're going Sidewayson pricing so

1443
01:27:01,040 --> 01:27:05,960
Speaker 1: um and Kenny's Air Job bringing that best great and

1444
01:27:06,040 --> 01:27:08,519
Speaker 1: Kenny's Air. You guys should do a podcast. I'll license it,

1445
01:27:08,520 --> 01:27:11,400
Speaker 1: front it. Okay, well we can do that. I'll license it,

1446
01:27:11,439 --> 01:27:14,200
Speaker 1: We'll put it on our network and I'll license it

1447
01:27:14,640 --> 01:27:17,000
Speaker 1: and we'll do a rev share. Is there any money involved?

1448
01:27:17,400 --> 01:27:21,559
Speaker 1: Do that? Because I ain't making squawk listen man, not

1449
01:27:21,920 --> 01:27:25,160
Speaker 1: if you go on your own. No, not if you

1450
01:27:25,240 --> 01:27:27,559
Speaker 1: go on your own. But but but if you were

1451
01:27:27,600 --> 01:27:31,240
Speaker 1: to join a network, because there's like, I'm not gonna

1452
01:27:31,240 --> 01:27:32,560
Speaker 1: get into it right now because if you're doing me

1453
01:27:32,600 --> 01:27:35,080
Speaker 1: a disservice to explain it all, I know you're in

1454
01:27:35,120 --> 01:27:38,720
Speaker 1: the air, but if you were to join, if you

1455
01:27:38,760 --> 01:27:41,920
Speaker 1: were to do this, be in and Out of the

1456
01:27:41,920 --> 01:27:46,040
Speaker 1: Woodyard podcast? Can you do the podcast? I license it,

1457
01:27:46,080 --> 01:27:48,800
Speaker 1: we do a rev share. You're getting double money getting

1458
01:27:48,800 --> 01:27:53,320
Speaker 1: money from getting rev share. People would pay for this.

1459
01:27:53,360 --> 01:27:57,200
Speaker 1: I'll be entertained right now that I would be this interesting.

1460
01:27:58,600 --> 01:28:01,840
Speaker 1: We have covered like zero point ship per cent yet

1461
01:28:02,040 --> 01:28:03,600
Speaker 1: I mean, well, I know we're never going to get you.

1462
01:28:03,640 --> 01:28:05,640
Speaker 1: Let's get but the beauty of it is people just

1463
01:28:05,640 --> 01:28:08,920
Speaker 1: go watch your stuff. This is a teaser, Yeah, but

1464
01:28:09,080 --> 01:28:10,439
Speaker 1: I do want I want to get to the current.

1465
01:28:10,479 --> 01:28:12,600
Speaker 1: I want I just on a personal curiosity. I just

1466
01:28:12,640 --> 01:28:14,360
Speaker 1: want to know where the wood market sits right now.

1467
01:28:14,760 --> 01:28:17,080
Speaker 1: Kenny's area work. Like he said, people are burning wood

1468
01:28:17,120 --> 01:28:21,400
Speaker 1: to save money, and there's wood everywhere. Yeah, I live

1469
01:28:21,400 --> 01:28:23,479
Speaker 1: in a very wood rich area and there's no people

1470
01:28:23,760 --> 01:28:28,200
Speaker 1: and their brother has everybody. Every people that are there

1471
01:28:28,280 --> 01:28:30,840
Speaker 1: want to save money. They all got chainsaws, they all

1472
01:28:30,880 --> 01:28:32,920
Speaker 1: got a brother that's a logger. I mean, I worked

1473
01:28:32,960 --> 01:28:35,360
Speaker 1: with loggers and truckers. I've been in the wood business

1474
01:28:35,400 --> 01:28:38,000
Speaker 1: my whole life. But they either aren't capable of producing

1475
01:28:38,000 --> 01:28:40,120
Speaker 1: more wood because they're getting older, or they run out

1476
01:28:40,120 --> 01:28:43,639
Speaker 1: of wood, or they underestimated their needs that kind of stuff.

1477
01:28:43,680 --> 01:28:46,719
Speaker 1: So he will sell wood to people that just don't.

1478
01:28:47,000 --> 01:28:48,800
Speaker 1: They like wood heat and they want their wood heat.

1479
01:28:49,080 --> 01:28:51,080
Speaker 1: I heat my house with wood, and if I don't

1480
01:28:51,120 --> 01:28:53,120
Speaker 1: have a fire going in the furnace, it's like my

1481
01:28:53,160 --> 01:28:56,760
Speaker 1: house is cold. It's the thermostat says seventy, but it's

1482
01:28:56,800 --> 01:28:58,880
Speaker 1: not seventy, and every score inch at alls it's like

1483
01:28:58,920 --> 01:29:01,320
Speaker 1: it's seventy over there, but it's like shixty over here.

1484
01:29:01,360 --> 01:29:06,479
Speaker 1: It's like with wood heat, it's everywhere, it's most stared answer.

1485
01:29:06,960 --> 01:29:14,160
Speaker 1: So I'm trying to dig it back in his area. Uh,

1486
01:29:14,320 --> 01:29:18,120
Speaker 1: seventy to nine dollars per face cord or rick or

1487
01:29:18,160 --> 01:29:21,479
Speaker 1: third of a cord, whichever you prefer. In our area,

1488
01:29:21,560 --> 01:29:24,080
Speaker 1: it's a face card. Okay, it's a face card. Everybody

1489
01:29:24,080 --> 01:29:26,439
Speaker 1: buys in face courts. Yes. So if I'm a normal

1490
01:29:26,479 --> 01:29:30,240
Speaker 1: person and I say I need five chords for the winner,

1491
01:29:30,600 --> 01:29:35,080
Speaker 1: you have to then go like face cards. I didn't

1492
01:29:35,080 --> 01:29:38,920
Speaker 1: say face court. He's going to ask you that. When

1493
01:29:38,960 --> 01:29:41,519
Speaker 1: you say that, I'm asking you, I would have said.

1494
01:29:41,680 --> 01:29:46,840
Speaker 1: I would have said with the customer, I'm not calling you,

1495
01:29:47,240 --> 01:29:49,720
Speaker 1: calling Kenny because I'm in I'm in there, I'm up there,

1496
01:29:49,720 --> 01:29:52,320
Speaker 1: and where you're at, I'd like to buy five chords

1497
01:29:52,360 --> 01:29:57,120
Speaker 1: for the winner. Okay, So are you talking full cards

1498
01:29:57,200 --> 01:30:01,400
Speaker 1: or face cards? What did I say? You said five courts.

1499
01:30:01,760 --> 01:30:05,240
Speaker 1: I need to know what is your definition of a

1500
01:30:05,360 --> 01:30:07,920
Speaker 1: court because I'm gonna ask you that because I do

1501
01:30:08,040 --> 01:30:10,559
Speaker 1: have customers that have cabins. So I see a lot

1502
01:30:10,600 --> 01:30:12,720
Speaker 1: of people like cabins. They buy wood for me like

1503
01:30:12,760 --> 01:30:14,880
Speaker 1: every other year because they come up to their cabinet

1504
01:30:14,920 --> 01:30:18,000
Speaker 1: winner they want to go snowmobiling. Then people actually pay

1505
01:30:18,200 --> 01:30:20,840
Speaker 1: pretty good because they you know, they got their half man,

1506
01:30:20,840 --> 01:30:23,200
Speaker 1: they want to rick. They got their half million dollar

1507
01:30:24,200 --> 01:30:27,760
Speaker 1: you know cabin. You know that they come snowbilling twice

1508
01:30:27,760 --> 01:30:29,320
Speaker 1: a year, two and they want they want to have

1509
01:30:29,400 --> 01:30:31,640
Speaker 1: nice dry wood there. So I do have some of

1510
01:30:31,640 --> 01:30:34,320
Speaker 1: those customers. So I gotta find out if they know

1511
01:30:34,360 --> 01:30:37,760
Speaker 1: what a chord is. They're not a court and then okay,

1512
01:30:37,760 --> 01:30:40,559
Speaker 1: coming from let's go back to the role play. Okay again,

1513
01:30:40,600 --> 01:30:43,519
Speaker 1: here we go sideways like five courts. No, we're gonna

1514
01:30:43,520 --> 01:30:47,680
Speaker 1: get there fast, straight, no commentary, straight role play. Hi,

1515
01:30:48,360 --> 01:30:51,280
Speaker 1: I would like to buy five chords of hardwood, split

1516
01:30:51,360 --> 01:30:54,560
Speaker 1: and dried. And I'm gonna say once again, is it

1517
01:30:54,760 --> 01:30:58,800
Speaker 1: a face cord is four ft by eight four eight

1518
01:30:58,840 --> 01:31:02,479
Speaker 1: ft long? Sixteen inch? Is that what you call a courd? No, sir,

1519
01:31:02,600 --> 01:31:06,320
Speaker 1: I'm talking about a full cord. Three face cords. That's

1520
01:31:06,320 --> 01:31:09,200
Speaker 1: you want, fifteen face cards? That's five. That's how you

1521
01:31:09,240 --> 01:31:12,720
Speaker 1: need to think about it, sir. Yes, I'd like it

1522
01:31:12,720 --> 01:31:19,640
Speaker 1: to be split, dried, hardwood delivered. Okay, So where is

1523
01:31:19,680 --> 01:31:23,240
Speaker 1: your Where are you? How far are you from? Next door? Oh?

1524
01:31:23,360 --> 01:31:27,760
Speaker 1: Next door, that's easy. That's gonna be two bucks a load.

1525
01:31:28,240 --> 01:31:32,080
Speaker 1: That's five loads. Do the math? Oh my god, god,

1526
01:31:32,080 --> 01:31:39,559
Speaker 1: the wood business got complicated. Well again five times? What

1527
01:31:39,600 --> 01:31:43,280
Speaker 1: did I say? Fifteen times? Whatever you're going Ray, let's

1528
01:31:43,280 --> 01:31:47,479
Speaker 1: approach you. I say to you, I'm coming to pick

1529
01:31:47,560 --> 01:31:52,880
Speaker 1: up a full chord of split and dry hardwood. How

1530
01:31:53,040 --> 01:32:00,639
Speaker 1: much is it Your definition is going to be to forty? Okay,

1531
01:32:00,680 --> 01:32:03,880
Speaker 1: that's all I want to know. Your definition it's increased

1532
01:32:03,920 --> 01:32:09,960
Speaker 1: by it's increased two points. Cheap wood my area, it's different.

1533
01:32:09,960 --> 01:32:12,920
Speaker 1: If you go to Chicago, it's way different. That's why

1534
01:32:12,920 --> 01:32:15,960
Speaker 1: I'm gonna explain he's three sixty for that same load. Yeah,

1535
01:32:16,080 --> 01:32:18,439
Speaker 1: I'm at two forty. He's at three sixties, so it's

1536
01:32:18,520 --> 01:32:20,840
Speaker 1: three point six. I asked from when I was a kid, right,

1537
01:32:20,880 --> 01:32:24,599
Speaker 1: I have more people, fewer trees. I know a guy

1538
01:32:24,640 --> 01:32:27,200
Speaker 1: who has one of the biggest firewood businesses in the

1539
01:32:27,240 --> 01:32:31,240
Speaker 1: state of Wisconsin. It's called Frank's. He sends two to

1540
01:32:31,360 --> 01:32:38,519
Speaker 1: three semi loads every single day to Chicago eight d accord.

1541
01:32:39,479 --> 01:32:45,600
Speaker 1: Holy sh it, man, just employees. Well, well, then I

1542
01:32:45,600 --> 01:32:50,240
Speaker 1: gotta I mean, there's gas, but trucking and trucking is huge.

1543
01:32:50,920 --> 01:32:53,240
Speaker 1: I can't. I can't sell him would for what I

1544
01:32:53,280 --> 01:32:55,240
Speaker 1: sell for him to come get it and sell it

1545
01:32:55,320 --> 01:32:58,600
Speaker 1: for what he does it's all lost in transportation. You

1546
01:32:58,680 --> 01:33:02,960
Speaker 1: can't move whatever. It's free. Okay, let's jump along with

1547
01:33:03,560 --> 01:33:05,439
Speaker 1: the field. Have been running five dollars a gallon up

1548
01:33:05,479 --> 01:33:17,880
Speaker 1: till recently and it's still over flour by us. Once

1549
01:33:17,920 --> 01:33:20,439
Speaker 1: you got out of the wood you're going and sorry,

1550
01:33:20,479 --> 01:33:22,439
Speaker 1: once you got in the woodyard going, which is such

1551
01:33:22,439 --> 01:33:27,559
Speaker 1: a novel idea. Um are there other? Were there? Other

1552
01:33:27,720 --> 01:33:34,160
Speaker 1: people like producing regular content on YouTube that was about

1553
01:33:34,200 --> 01:33:36,960
Speaker 1: the wood business, yes, but not as niche as what

1554
01:33:37,080 --> 01:33:40,360
Speaker 1: I went with it, and not I could see him

1555
01:33:40,400 --> 01:33:44,120
Speaker 1: doing like some fancy pants with stuff. Yeah that that,

1556
01:33:44,240 --> 01:33:47,800
Speaker 1: and just a lot of lifestyle type reality show kind

1557
01:33:47,800 --> 01:33:51,400
Speaker 1: of things or bringing in their everyday activities along with

1558
01:33:51,439 --> 01:33:54,280
Speaker 1: all of it. Like, but I myself, I just went

1559
01:33:54,360 --> 01:33:56,840
Speaker 1: with it the way I wanted to do it. I

1560
01:33:56,880 --> 01:33:59,559
Speaker 1: wanted to do it where it was focused on one

1561
01:33:59,600 --> 01:34:02,920
Speaker 1: top and what it took to do that, and beginning

1562
01:34:02,960 --> 01:34:05,280
Speaker 1: to end all the details because the magic is always

1563
01:34:05,280 --> 01:34:07,759
Speaker 1: a new details. People want to know the difference between

1564
01:34:07,760 --> 01:34:13,920
Speaker 1: a face cord and a full cord every day, it's

1565
01:34:13,920 --> 01:34:17,120
Speaker 1: all the time. So um, I just I really wanted

1566
01:34:17,120 --> 01:34:19,080
Speaker 1: a niche because I did a lot of studying on

1567
01:34:19,400 --> 01:34:23,040
Speaker 1: YouTube by watching people that are experts in the industry

1568
01:34:23,160 --> 01:34:26,280
Speaker 1: of education in YouTube telling people how to do it

1569
01:34:26,400 --> 01:34:31,120
Speaker 1: right and niching down and getting more specific is better, Um,

1570
01:34:31,160 --> 01:34:34,040
Speaker 1: because the audience is going to come to you for

1571
01:34:34,120 --> 01:34:37,080
Speaker 1: that particular topic. And if you start talking about your

1572
01:34:37,080 --> 01:34:40,160
Speaker 1: trip to them all you're listening, You're not talking to

1573
01:34:40,280 --> 01:34:45,000
Speaker 1: m a you will Yeah, I'm talking to yeah, yeah. Yeah.

1574
01:34:45,520 --> 01:34:49,640
Speaker 1: So it's it's uh, it's a big difference. Uh. And

1575
01:34:49,840 --> 01:34:52,760
Speaker 1: people people are there in that particular audience, and yeah,

1576
01:34:52,760 --> 01:34:54,800
Speaker 1: they may have some common interests. A lot of fire

1577
01:34:54,800 --> 01:34:57,840
Speaker 1: with people are hunters, they are fishermen, they are outdoors people,

1578
01:34:57,920 --> 01:35:00,559
Speaker 1: but not all of them, someone like of them. There's

1579
01:35:00,560 --> 01:35:02,040
Speaker 1: a lot of them. Yeah, some of my people that

1580
01:35:02,120 --> 01:35:04,719
Speaker 1: watch me, and I've got people from fifty five countries

1581
01:35:04,720 --> 01:35:07,480
Speaker 1: that watched that tell me. You know, I do firewood,

1582
01:35:07,600 --> 01:35:09,840
Speaker 1: but I'm not a hunter. I'm a vegan and I

1583
01:35:09,920 --> 01:35:12,559
Speaker 1: appreciate you doing that and I'm okay with it because

1584
01:35:12,600 --> 01:35:15,679
Speaker 1: I like your content. So, but if I start showing

1585
01:35:16,520 --> 01:35:18,760
Speaker 1: hunting stuff on there, it's gonna turn them off right now.

1586
01:35:19,320 --> 01:35:22,360
Speaker 1: This is not what they came for exactly. Like if

1587
01:35:22,360 --> 01:35:24,439
Speaker 1: I had like a thing where I put lego shipped together,

1588
01:35:24,720 --> 01:35:26,960
Speaker 1: I wouldn't start splitting firewood on it. My son has

1589
01:35:26,960 --> 01:35:33,520
Speaker 1: that change. Yes, he's got he's got a YouTube Lego chanl. Yeah,

1590
01:35:33,560 --> 01:35:35,880
Speaker 1: it's called red Rick Studs. He just started it. How

1591
01:35:35,920 --> 01:35:40,240
Speaker 1: old are you guys? I'm sixty and in two months?

1592
01:35:40,560 --> 01:35:43,960
Speaker 1: You guys married? Yeah, we're ten, ten months and two

1593
01:35:44,000 --> 01:35:48,080
Speaker 1: days apart. How long he has been married? Me? I'm

1594
01:35:48,080 --> 01:35:51,479
Speaker 1: in the second round? Twelve years? Second round? Here? How

1595
01:35:51,520 --> 01:35:55,960
Speaker 1: much you added up? Thirty seven? That's good. I get

1596
01:35:56,000 --> 01:36:00,880
Speaker 1: thirty eight in with one three kids, same as you, boy, girl, boy,

1597
01:36:01,240 --> 01:36:04,800
Speaker 1: it's great. I started out twenty five years first round

1598
01:36:04,840 --> 01:36:09,840
Speaker 1: and I'm on twelve or so. You hit silver there whatever.

1599
01:36:09,920 --> 01:36:12,200
Speaker 1: I pointed out that my father hit silver with two

1600
01:36:12,240 --> 01:36:17,840
Speaker 1: different people. It's like a model of loyalty. Right, I

1601
01:36:17,880 --> 01:36:20,360
Speaker 1: got seven, We got seven kids, so but they're all

1602
01:36:20,360 --> 01:36:24,280
Speaker 1: growing and going, thank God. So tell me, after you

1603
01:36:24,360 --> 01:36:27,400
Speaker 1: got the in the woodyard, how did it occur to

1604
01:36:27,400 --> 01:36:29,840
Speaker 1: you to start doing out of the woodyard? Well, because

1605
01:36:29,880 --> 01:36:32,599
Speaker 1: that was my that was my introduction, right, yeah, yeah,

1606
01:36:32,840 --> 01:36:34,880
Speaker 1: I'm gonna back up just a little bit so you

1607
01:36:34,920 --> 01:36:38,040
Speaker 1: get the context of it. So when I would drop

1608
01:36:38,080 --> 01:36:40,320
Speaker 1: these videos that weren't would related, I saw a big

1609
01:36:40,400 --> 01:36:45,880
Speaker 1: drop in viewers and you know, per video basis knowing

1610
01:36:45,920 --> 01:36:47,439
Speaker 1: that YouTube didn't know what to do with it because

1611
01:36:47,439 --> 01:36:48,720
Speaker 1: they didn't know what to do with the content, and

1612
01:36:48,760 --> 01:36:50,479
Speaker 1: being that we're outdoors people, I thought, yeah, I'll just

1613
01:36:50,520 --> 01:36:52,320
Speaker 1: separated out. My son told me too, was the I

1614
01:36:52,360 --> 01:36:55,160
Speaker 1: t guys said yeah, if you keep it more pure,

1615
01:36:56,200 --> 01:36:59,000
Speaker 1: the algorithm will know what to do with it. And

1616
01:36:59,240 --> 01:37:02,080
Speaker 1: I wanted to do content just to put it somewhere else.

1617
01:37:02,120 --> 01:37:04,839
Speaker 1: So I started doing the the trapping and the noodling

1618
01:37:05,040 --> 01:37:07,479
Speaker 1: catfish noodling. And you want to go noodling? We know,

1619
01:37:08,640 --> 01:37:13,760
Speaker 1: I watched you. I want to go, mentioned me last night.

1620
01:37:15,160 --> 01:37:16,519
Speaker 1: Have done it yet? I want to try it. I

1621
01:37:16,600 --> 01:37:21,840
Speaker 1: like fishing catfish, but it's a rush. It's a rush. Um. Yeah.

1622
01:37:21,960 --> 01:37:24,720
Speaker 1: So we separated out, and I haven't done as much

1623
01:37:24,720 --> 01:37:26,439
Speaker 1: too it as I wanted to because I've been so busy.

1624
01:37:26,840 --> 01:37:28,800
Speaker 1: And part of the reason why I haven't is in

1625
01:37:28,880 --> 01:37:31,960
Speaker 1: the last three months, I was basically evicted from where

1626
01:37:31,960 --> 01:37:35,599
Speaker 1: my woodyard was. I wasn't evicted, but I got noticed

1627
01:37:35,640 --> 01:37:37,960
Speaker 1: that it wasn't up to code and wasn't in covenants

1628
01:37:37,960 --> 01:37:40,200
Speaker 1: of what I could do. I'm in a commercial location,

1629
01:37:40,479 --> 01:37:42,679
Speaker 1: and I assumed I was okay, but I wasn't you

1630
01:37:42,800 --> 01:37:46,719
Speaker 1: knew you were kind of well. The developer was okay

1631
01:37:46,800 --> 01:37:49,040
Speaker 1: with it. He didn't have a problem. Nobody else said

1632
01:37:49,080 --> 01:37:51,519
Speaker 1: anything for ten years. But it got bigger and bigger,

1633
01:37:51,520 --> 01:37:54,559
Speaker 1: and I got the big machinery. And then the neighbor said, um,

1634
01:37:54,680 --> 01:37:56,080
Speaker 1: I just put a parking lot and it cost me

1635
01:37:56,080 --> 01:37:58,439
Speaker 1: a hundred and eighty grand. He said, I know you're

1636
01:37:58,479 --> 01:38:00,760
Speaker 1: not under covenants because you have to hard surface which

1637
01:38:00,800 --> 01:38:03,880
Speaker 1: is either black topp or gravel underneyth any materials outside.

1638
01:38:04,840 --> 01:38:07,479
Speaker 1: So and he said, and fancying And he said, I

1639
01:38:07,479 --> 01:38:15,040
Speaker 1: don't like the way it looks. No. Yeah, man, luckily, Yeah,

1640
01:38:15,120 --> 01:38:18,400
Speaker 1: we know what you know. This guy you're talking about,

1641
01:38:18,439 --> 01:38:20,400
Speaker 1: he might love his family and be a great American.

1642
01:38:21,200 --> 01:38:23,840
Speaker 1: But that's the thing I don't get, man. You know,

1643
01:38:23,920 --> 01:38:29,760
Speaker 1: I don't understand. I would rather I like my ship tidy,

1644
01:38:30,080 --> 01:38:32,759
Speaker 1: neat and tidy. I would rather all of my neighbors

1645
01:38:33,880 --> 01:38:38,680
Speaker 1: had total ship holes. So you look good because if

1646
01:38:38,720 --> 01:38:41,120
Speaker 1: I like, they're gonna be less likely to care. If

1647
01:38:41,160 --> 01:38:44,559
Speaker 1: if my kids are messing around, I'm more likely to

1648
01:38:44,560 --> 01:38:48,120
Speaker 1: find something I might need. Mm hmm. Yeah, there's more

1649
01:38:48,200 --> 01:38:50,000
Speaker 1: likely there's gonna be a bunch of cotton tail rabbits

1650
01:38:50,479 --> 01:38:53,040
Speaker 1: hanging out and all their junk. It's like there's nothing,

1651
01:38:53,080 --> 01:38:55,920
Speaker 1: but like, I would rather everyone around me had a

1652
01:38:56,000 --> 01:38:58,879
Speaker 1: junkyard and then my stuff was in the middle. Perfect.

1653
01:38:59,000 --> 01:39:01,760
Speaker 1: But I'm guessing that that's not the perspective that your

1654
01:39:01,800 --> 01:39:07,560
Speaker 1: neighbor has. No, he's jealous. It's an industrial part. I

1655
01:39:07,600 --> 01:39:11,040
Speaker 1: mean it's not. Yeah, I mean he didn't do it

1656
01:39:11,040 --> 01:39:13,680
Speaker 1: because he doesn't like the way your yard looks. Come on, well,

1657
01:39:13,760 --> 01:39:16,400
Speaker 1: no he did. Really, you don't think he did it

1658
01:39:16,439 --> 01:39:17,840
Speaker 1: because he was like, well, if I had to pay,

1659
01:39:17,880 --> 01:39:20,920
Speaker 1: he does too. Maybe. No, I think it's kind of

1660
01:39:20,920 --> 01:39:24,000
Speaker 1: a combination. He's a it's an electrical engineering place, and

1661
01:39:24,160 --> 01:39:26,439
Speaker 1: they bring people in from all over the world for

1662
01:39:26,520 --> 01:39:28,559
Speaker 1: what they do, and they have government contracts. It's a

1663
01:39:28,560 --> 01:39:31,639
Speaker 1: big deal. And he just did his place must look

1664
01:39:31,680 --> 01:39:33,880
Speaker 1: next to your plans. What I always thought he'd be like, hey,

1665
01:39:33,479 --> 01:39:37,040
Speaker 1: you can how authentic it is. Welcome to Wisconsin. Yah. Yeah,

1666
01:39:37,080 --> 01:39:39,680
Speaker 1: everybody splits water around here, look at this guy. That's

1667
01:39:39,720 --> 01:39:41,519
Speaker 1: what most people think. Most people say that. All the

1668
01:39:41,520 --> 01:39:43,640
Speaker 1: people watch my channel thought it was like ridiculous, But

1669
01:39:43,640 --> 01:39:48,560
Speaker 1: I got a better deal now improved. It's improved. Tremendously

1670
01:39:48,560 --> 01:39:50,719
Speaker 1: once again, one more reason. I don't have a processor

1671
01:39:50,760 --> 01:39:52,559
Speaker 1: in my place here. Yeah, so that's what slowed me

1672
01:39:52,600 --> 01:39:54,960
Speaker 1: down from doing more content on my out of the way.

1673
01:39:54,960 --> 01:39:58,320
Speaker 1: You don't back to your original question about out about

1674
01:39:58,320 --> 01:40:00,479
Speaker 1: your property. I had to move you how to move?

1675
01:40:00,560 --> 01:40:03,240
Speaker 1: You don't realize how much crap you accumulate. Had ten

1676
01:40:03,320 --> 01:40:07,599
Speaker 1: years of firewood stuff to get out of. There's a lot. Yeah,

1677
01:40:07,600 --> 01:40:09,880
Speaker 1: it was a lot. So let's slow you down on

1678
01:40:09,960 --> 01:40:12,080
Speaker 1: your outdoor content three or four months. Yeah. I put

1679
01:40:12,080 --> 01:40:15,400
Speaker 1: me behind a production everything. Yeah. So yeah, and then

1680
01:40:15,560 --> 01:40:18,240
Speaker 1: Kenny and I started doing the trapping thing since we

1681
01:40:18,240 --> 01:40:20,360
Speaker 1: were kids, and I always thought it would we need

1682
01:40:20,439 --> 01:40:22,760
Speaker 1: to have it where we would show people what we do,

1683
01:40:22,880 --> 01:40:26,920
Speaker 1: because I mean I trapped when we were younger with Ken.

1684
01:40:27,160 --> 01:40:30,320
Speaker 1: Grandpa was a professional trap actually a great camp we're

1685
01:40:30,360 --> 01:40:35,800
Speaker 1: fourth generation. He was professional beaver trapper, everything everything, trapper,

1686
01:40:35,880 --> 01:40:40,360
Speaker 1: mentals in the summer, Yeah, summer I was reading about that,

1687
01:40:40,439 --> 01:40:43,519
Speaker 1: the mental thing because he was a baitman. Yes, I

1688
01:40:43,560 --> 01:40:45,439
Speaker 1: did that too. I grew up doing it. We worked

1689
01:40:45,439 --> 01:40:47,720
Speaker 1: for him, that's we did. We sold live bait in

1690
01:40:47,760 --> 01:40:50,759
Speaker 1: the summer. We worked for him every summer in mentals

1691
01:40:50,800 --> 01:40:52,920
Speaker 1: and well he sold mentals. We just help them. What

1692
01:40:53,000 --> 01:40:55,599
Speaker 1: did do? Like the leeches, wigglers all out just like

1693
01:40:57,760 --> 01:41:00,000
Speaker 1: we pick crawlers. That was our division time at ring,

1694
01:41:00,000 --> 01:41:03,760
Speaker 1: and we picked the crawlers. Man, I tell they had

1695
01:41:03,760 --> 01:41:05,360
Speaker 1: a broken back when I was so you'd go out

1696
01:41:05,640 --> 01:41:08,759
Speaker 1: like in the spring on a rainy night, crawlers until

1697
01:41:08,800 --> 01:41:11,040
Speaker 1: you couldn't move no more, until my mom would find

1698
01:41:11,120 --> 01:41:13,479
Speaker 1: us and say get them. You got school to school starts.

1699
01:41:13,800 --> 01:41:16,320
Speaker 1: We're out their home. Nine we're making we're making buck.

1700
01:41:16,400 --> 01:41:19,599
Speaker 1: You know, two cents a nightcrawler, man cents a dozen. Man,

1701
01:41:19,680 --> 01:41:23,080
Speaker 1: that's big money. Back then, you don't realize just out

1702
01:41:23,080 --> 01:41:26,639
Speaker 1: in the cornfield and the rains, Norman, all of everybody's yard,

1703
01:41:26,640 --> 01:41:29,240
Speaker 1: everybody's front yards. You know what, everybody had a yard

1704
01:41:29,840 --> 01:41:32,960
Speaker 1: taking out their front yards the right. They come home

1705
01:41:33,000 --> 01:41:37,200
Speaker 1: at night, they crawl, They come out the nightcrawlers. Not

1706
01:41:37,320 --> 01:41:42,400
Speaker 1: at night. Oh man, you get like May May, early June,

1707
01:41:42,439 --> 01:41:45,160
Speaker 1: you can get a real goldie washer. Rains don't come

1708
01:41:45,479 --> 01:41:48,400
Speaker 1: at night, come off the breeze. And did it to

1709
01:41:48,680 --> 01:41:52,960
Speaker 1: have to twisted simultaneously or can you just any night better?

1710
01:41:53,000 --> 01:41:57,320
Speaker 1: One night it brings them out and they start making

1711
01:41:57,360 --> 01:42:01,200
Speaker 1: love and twisted up. That's a double man. You can

1712
01:42:01,200 --> 01:42:04,439
Speaker 1: grab them and they don't get away as good when

1713
01:42:04,479 --> 01:42:11,519
Speaker 1: they're locked up like a couple of dogs. Get them both.

1714
01:42:11,880 --> 01:42:16,320
Speaker 1: It's a nightcrawler man. That's a great business. I mean.

1715
01:42:16,439 --> 01:42:19,960
Speaker 1: So he was a batman and he contracted with bait stores.

1716
01:42:20,439 --> 01:42:23,719
Speaker 1: Well he he, Well, he had a route up actually

1717
01:42:23,720 --> 01:42:26,599
Speaker 1: where I live. See, Okay, back in them days, people

1718
01:42:26,600 --> 01:42:28,680
Speaker 1: would go up north and they'd stay out a resort. Right,

1719
01:42:29,080 --> 01:42:30,600
Speaker 1: there's a lot of resorts on a lake or on

1720
01:42:30,640 --> 01:42:33,519
Speaker 1: a river or whatever. Well, the resort owner would have

1721
01:42:33,640 --> 01:42:35,920
Speaker 1: cabins and people would come stay there and they're gonna

1722
01:42:35,920 --> 01:42:39,280
Speaker 1: go fishing. They'd have rentals, canoe rentals. Well, they don't

1723
01:42:39,320 --> 01:42:41,200
Speaker 1: want to have to go someplace and catch bait to

1724
01:42:41,200 --> 01:42:43,120
Speaker 1: go fishing, because back then it was all live bait,

1725
01:42:43,160 --> 01:42:45,280
Speaker 1: you know. People didn't have all these fancy things, you know,

1726
01:42:46,080 --> 01:42:50,679
Speaker 1: so they fished with minimals. He would sell to the

1727
01:42:50,720 --> 01:42:53,719
Speaker 1: resort owners. He would make a weekly run every Friday.

1728
01:42:53,760 --> 01:42:56,200
Speaker 1: He would drive up north hundred and fifty miles and

1729
01:42:56,280 --> 01:43:02,680
Speaker 1: sell hundreds of dozens. Yeah yeah, yeah, gallons by the

1730
01:43:02,720 --> 01:43:05,360
Speaker 1: gallon of the Gwadays it's by the gallon whatever. But yeah,

1731
01:43:05,360 --> 01:43:07,519
Speaker 1: he had a he had a five hundred gallon tank

1732
01:43:07,560 --> 01:43:09,320
Speaker 1: on the back of the truck. And then was he

1733
01:43:09,400 --> 01:43:12,280
Speaker 1: just dealing in one? Was he doing like chubs, fat

1734
01:43:12,960 --> 01:43:17,320
Speaker 1: shiners all of that. Mud Mintos was the big thing

1735
01:43:17,960 --> 01:43:20,240
Speaker 1: because they lived long. Mud I don't know if you

1736
01:43:20,280 --> 01:43:23,120
Speaker 1: know what a mud mento was, but they live anywhere

1737
01:43:23,160 --> 01:43:25,519
Speaker 1: and they live like a polylog and a mud puddler. Tough.

1738
01:43:25,600 --> 01:43:28,160
Speaker 1: You can't hardly kill them. And i'd probably know what

1739
01:43:28,160 --> 01:43:29,479
Speaker 1: if I was looking at it, I probably know it.

1740
01:43:29,880 --> 01:43:34,599
Speaker 1: An You know what we used to call those, We'd

1741
01:43:34,640 --> 01:43:40,679
Speaker 1: call them tiger minns. Yeah, well, them were in high

1742
01:43:40,680 --> 01:43:44,080
Speaker 1: demand and where he lived, he caught lots of them,

1743
01:43:44,240 --> 01:43:47,040
Speaker 1: and people really want them because they would last. You

1744
01:43:47,040 --> 01:43:49,639
Speaker 1: could buy one week and two weeks later still alive,

1745
01:43:50,200 --> 01:43:53,240
Speaker 1: So all your shiners, your suckers, your all your fat

1746
01:43:53,320 --> 01:43:55,880
Speaker 1: heads and all that. He always called them soft bait

1747
01:43:56,000 --> 01:43:57,920
Speaker 1: because they had to be in a tank with an aerator.

1748
01:43:58,400 --> 01:43:59,760
Speaker 1: Where's a mud man when you can throw it? The

1749
01:43:59,800 --> 01:44:02,519
Speaker 1: pay live a week later, so off bait. You got

1750
01:44:02,520 --> 01:44:05,240
Speaker 1: about up half hour things dead. So he was a

1751
01:44:05,240 --> 01:44:08,120
Speaker 1: bait trapper and a fur trapper. Yes, he did meddles

1752
01:44:08,160 --> 01:44:11,080
Speaker 1: in the summer, trapped in the winter mostly and you

1753
01:44:11,120 --> 01:44:14,439
Speaker 1: were brought up around that. Ye. Yeah, So at eight

1754
01:44:14,479 --> 01:44:17,000
Speaker 1: years old and he was seven, we started trapping muskrats.

1755
01:44:17,720 --> 01:44:20,679
Speaker 1: And you guys got heavy duty in the muskrats. Oh yeah,

1756
01:44:20,720 --> 01:44:22,800
Speaker 1: we did. We went out west da quotas we went

1757
01:44:22,880 --> 01:44:25,200
Speaker 1: north Dakota, South da Quota. Man, we slayed him. We

1758
01:44:25,200 --> 01:44:27,559
Speaker 1: we hit that, We hit it. I mean when we

1759
01:44:27,560 --> 01:44:29,640
Speaker 1: were out there was as I haven't, man, it was

1760
01:44:30,920 --> 01:44:35,120
Speaker 1: high water, so high water and high water high population

1761
01:44:35,400 --> 01:44:38,840
Speaker 1: populations boomed, and you could almost hop from a rat

1762
01:44:38,880 --> 01:44:41,639
Speaker 1: house the rat house. I mean it. I went out

1763
01:44:41,680 --> 01:44:45,000
Speaker 1: there one fall or no spring spring, went out there

1764
01:44:45,000 --> 01:44:48,000
Speaker 1: in the spring by myself and somebody's They were all

1765
01:44:48,000 --> 01:44:50,439
Speaker 1: we were all trapping them together, but separately. You know.

1766
01:44:50,479 --> 01:44:52,519
Speaker 1: We're all stayed at the same place and trapped the

1767
01:44:52,560 --> 01:44:56,320
Speaker 1: same area. I went out there. Well, for perspective, we

1768
01:44:56,400 --> 01:45:00,320
Speaker 1: used to trap in school. We would take our big ocation,

1769
01:45:00,560 --> 01:45:05,479
Speaker 1: well not vacation, when trapping season open. Our parents would

1770
01:45:05,560 --> 01:45:10,400
Speaker 1: let us take off at school. Cool trapping because back

1771
01:45:10,439 --> 01:45:13,000
Speaker 1: in the seventies and them days, a muskrat was like

1772
01:45:13,040 --> 01:45:18,800
Speaker 1: eight bucks. My dad, my dad was working in the

1773
01:45:18,840 --> 01:45:21,599
Speaker 1: paper mill making two dollars an hour at the same time,

1774
01:45:22,400 --> 01:45:23,840
Speaker 1: so we'd go out in a week and catch a

1775
01:45:23,920 --> 01:45:27,080
Speaker 1: hundred hundred fifty muskrats. We'd have our money for the

1776
01:45:27,080 --> 01:45:30,360
Speaker 1: whole year in that week. So I mean the plus

1777
01:45:30,479 --> 01:45:32,760
Speaker 1: we were catching coon for thirty bucks a piece. I

1778
01:45:32,760 --> 01:45:36,200
Speaker 1: mean the fur market was high in comparison. There were

1779
01:45:36,280 --> 01:45:39,000
Speaker 1: guys buying brand new pickups every year on their trapping money.

1780
01:45:39,400 --> 01:45:42,320
Speaker 1: Are weaker, okay, then, son, you've got a big crash

1781
01:45:42,400 --> 01:45:45,360
Speaker 1: in the market for many years. So an hour fast

1782
01:45:45,400 --> 01:45:48,400
Speaker 1: forward to two thousand and ten, two thousand nine, I

1783
01:45:48,400 --> 01:45:50,880
Speaker 1: think it went. That's what the trappers Stu Miller calls

1784
01:45:51,040 --> 01:45:55,679
Speaker 1: his generations for Boom to separate it from the late seventies,

1785
01:45:55,680 --> 01:46:00,479
Speaker 1: early eight them. So we've got out out into the

1786
01:46:00,520 --> 01:46:03,360
Speaker 1: quota as we found out about these rats in this population.

1787
01:46:03,439 --> 01:46:07,040
Speaker 1: Boom and I went out there in two weeks and

1788
01:46:07,080 --> 01:46:11,840
Speaker 1: I caught two thousand muskrats. Find himself. I just about

1789
01:46:12,000 --> 01:46:16,160
Speaker 1: killed me, just about killed me. Was it just all

1790
01:46:16,240 --> 01:46:21,080
Speaker 1: like were you just uh running like just wired up

1791
01:46:21,360 --> 01:46:27,320
Speaker 1: leg holds on feedbeds, well different different, different style. It springs.

1792
01:46:27,479 --> 01:46:30,320
Speaker 1: Everything was flooded. I mean there was I was catching muskrats.

1793
01:46:30,320 --> 01:46:32,439
Speaker 1: It had burrowed under the black top. The roads were

1794
01:46:32,439 --> 01:46:35,400
Speaker 1: given in. He was driving down roads for like a mile,

1795
01:46:35,640 --> 01:46:38,080
Speaker 1: you're driving through water for a mile. The roads are closed,

1796
01:46:38,080 --> 01:46:41,240
Speaker 1: but the town guys are like killing muskrats because they're

1797
01:46:41,320 --> 01:46:45,840
Speaker 1: undermining the roads, like banks trap. And I set a

1798
01:46:45,880 --> 01:46:47,719
Speaker 1: trap for me to you off the road, and hundreds

1799
01:46:47,760 --> 01:46:49,720
Speaker 1: of them down right down the ditch for miles and

1800
01:46:49,800 --> 01:46:52,680
Speaker 1: miles in the population. I never saw nothing like it.

1801
01:46:52,680 --> 01:46:54,799
Speaker 1: It was like an infest. We talked to two kids

1802
01:46:55,000 --> 01:46:56,840
Speaker 1: when we were out there, and that went to a

1803
01:46:56,880 --> 01:46:58,960
Speaker 1: movie one night. They came out of the movie theater.

1804
01:46:59,080 --> 01:47:01,280
Speaker 1: This is in a little time when we're trapping by

1805
01:47:01,479 --> 01:47:03,400
Speaker 1: with golf clubs. The two of them killed a hundred

1806
01:47:03,439 --> 01:47:09,479
Speaker 1: muskrats on Main Street. Okay, so no here on top

1807
01:47:09,560 --> 01:47:18,040
Speaker 1: of this market peaked right then. It was it, and

1808
01:47:18,080 --> 01:47:20,320
Speaker 1: we didn't know it because we sent our for auction

1809
01:47:20,360 --> 01:47:21,760
Speaker 1: the first time I was out when I had that

1810
01:47:21,840 --> 01:47:26,760
Speaker 1: first two thousand, and you put them all up. Yeah, well,

1811
01:47:26,880 --> 01:47:28,880
Speaker 1: I actually I end up selling some in the carcass

1812
01:47:28,920 --> 01:47:32,439
Speaker 1: because I could not keep up skinning. I never never

1813
01:47:32,479 --> 01:47:34,280
Speaker 1: come home with two hundred muskrats in a day in

1814
01:47:34,320 --> 01:47:39,240
Speaker 1: my life, you know, unbelievable. So so what I did

1815
01:47:39,280 --> 01:47:41,519
Speaker 1: bring home I put up. We sent them off to auction,

1816
01:47:42,439 --> 01:47:44,960
Speaker 1: and we thought we're going to get you know, maybe

1817
01:47:44,960 --> 01:47:50,280
Speaker 1: five bucks, maybe six bucks. They went to ten. It

1818
01:47:50,360 --> 01:47:53,599
Speaker 1: was like and then after that they went I got

1819
01:47:53,680 --> 01:47:59,719
Speaker 1: four a piece. When you're catching hundreds of thousands fast,

1820
01:47:59,800 --> 01:48:02,040
Speaker 1: it is real money. That was fun. So then he

1821
01:48:02,040 --> 01:48:06,639
Speaker 1: found out he was I'm going with you, So we did.

1822
01:48:06,720 --> 01:48:11,479
Speaker 1: We went out that next fall time at it. Well,

1823
01:48:11,520 --> 01:48:13,559
Speaker 1: I'll tell you what. Before I went out the first time,

1824
01:48:13,720 --> 01:48:18,040
Speaker 1: I probably spent three thousand dollars scouting hotels, mileage driving,

1825
01:48:18,200 --> 01:48:22,559
Speaker 1: finding the spots, getting permission, permission, not gonna gets I mean,

1826
01:48:22,600 --> 01:48:24,880
Speaker 1: there was a lot of research. I didn't just show up,

1827
01:48:24,920 --> 01:48:27,120
Speaker 1: you know, but because legally there you got to get

1828
01:48:27,160 --> 01:48:30,680
Speaker 1: permission and you have to have written permission. Because we

1829
01:48:30,720 --> 01:48:32,640
Speaker 1: got stopped by a couple of boardings and you have

1830
01:48:32,680 --> 01:48:34,760
Speaker 1: to have your paperwork, and we had our paperwork. But

1831
01:48:34,800 --> 01:48:36,960
Speaker 1: they were like, we don't kill them all. We did

1832
01:48:37,000 --> 01:48:39,040
Speaker 1: all that for nothing, you know. But but we were

1833
01:48:39,080 --> 01:48:40,760
Speaker 1: all legal, big old And you know, we had a

1834
01:48:40,760 --> 01:48:42,800
Speaker 1: guy who stayed on his farm, you know, like yeah,

1835
01:48:43,000 --> 01:48:45,680
Speaker 1: camp out, staying the barners a heated quantity and this

1836
01:48:45,760 --> 01:48:47,880
Speaker 1: is how good it was. We stayed at a guy's place,

1837
01:48:47,920 --> 01:48:50,280
Speaker 1: he let us. Let us. Well, the first guy we stopped,

1838
01:48:50,320 --> 01:48:53,479
Speaker 1: he said, yeah, since we got Marsha's all around, are

1839
01:48:53,479 --> 01:48:55,439
Speaker 1: you contrapping? And stay right at my place? He said,

1840
01:48:55,640 --> 01:48:57,320
Speaker 1: we have duck hunters coming. Stay And you said you

1841
01:48:57,360 --> 01:49:00,320
Speaker 1: could use my shed for working. And I said, well,

1842
01:49:00,320 --> 01:49:02,240
Speaker 1: how much land do you had? He goes, oh, seven,

1843
01:49:02,680 --> 01:49:05,600
Speaker 1: maybe eight? I said, what hundred acres? He said, no, sessions,

1844
01:49:06,280 --> 01:49:11,040
Speaker 1: that's a small. My neighbor down the road he's got twenty.

1845
01:49:11,120 --> 01:49:12,559
Speaker 1: He said, he'll let you trap two. And then my

1846
01:49:12,560 --> 01:49:16,120
Speaker 1: guys down the road the other way. This guy, this guy,

1847
01:49:16,200 --> 01:49:19,080
Speaker 1: everybody knew him. And if all we do is say

1848
01:49:19,120 --> 01:49:23,519
Speaker 1: his name, kill him. All you guys had a golden ticket.

1849
01:49:24,040 --> 01:49:26,160
Speaker 1: We had a golden ticket. We had a population, and

1850
01:49:26,200 --> 01:49:27,840
Speaker 1: the price was there all at one time, and that

1851
01:49:27,960 --> 01:49:31,559
Speaker 1: never happens, but it did. So then we went back

1852
01:49:31,640 --> 01:49:34,800
Speaker 1: the next spring and for three weeks, and my son

1853
01:49:34,840 --> 01:49:37,439
Speaker 1: had just gotten out of school. They graduated in the December.

1854
01:49:37,520 --> 01:49:40,839
Speaker 1: So we went back out during April. And he's skinned

1855
01:49:40,840 --> 01:49:45,160
Speaker 1: for us. That's all he did with skin. No skinning

1856
01:49:45,160 --> 01:49:49,240
Speaker 1: the muskrat. You've probably skinned one before. What time do

1857
01:49:49,280 --> 01:49:50,880
Speaker 1: you think for the skin one? Just to give you

1858
01:49:50,920 --> 01:49:57,280
Speaker 1: a reference. Not fast, I mean not three minutes, but

1859
01:49:57,880 --> 01:49:59,920
Speaker 1: not not like the people that are fast at it. Yeah,

1860
01:50:00,200 --> 01:50:03,080
Speaker 1: so we weren't fast either until we went out there,

1861
01:50:02,680 --> 01:50:06,719
Speaker 1: and you have to learn to survive. Cut down your movements.

1862
01:50:07,240 --> 01:50:09,639
Speaker 1: So I can skin one now in about twenty seconds,

1863
01:50:09,680 --> 01:50:13,280
Speaker 1: can't you can get it? Don't about his son anymore?

1864
01:50:13,680 --> 01:50:17,559
Speaker 1: Like twelve seconds? Really, are you guys doing that crazy

1865
01:50:17,680 --> 01:50:19,559
Speaker 1: over the knee ship. You're not doing it where you're

1866
01:50:19,600 --> 01:50:21,400
Speaker 1: hanging it by the tail. I do mind on the

1867
01:50:21,479 --> 01:50:27,160
Speaker 1: lap chester. It's it's so fast, it's it's basically taking

1868
01:50:27,200 --> 01:50:29,960
Speaker 1: a sock off. It's fast. I mean I don't have

1869
01:50:30,000 --> 01:50:32,080
Speaker 1: that speed. You gotta get repetition. I can remember because

1870
01:50:32,120 --> 01:50:34,840
Speaker 1: your hands gets so narrowed up from setting traps all day.

1871
01:50:35,320 --> 01:50:37,439
Speaker 1: You couldn't you couldn't squeeze the water out of a wester.

1872
01:50:37,560 --> 01:50:40,960
Speaker 1: His son was, His son was. So I took twenty

1873
01:50:41,040 --> 01:50:42,759
Speaker 1: rats because we would have to skin in the morning

1874
01:50:42,800 --> 01:50:44,120
Speaker 1: to get ahead, because we knew we were going to

1875
01:50:44,160 --> 01:50:46,000
Speaker 1: come home with a couple hundred more every day. So

1876
01:50:46,040 --> 01:50:50,160
Speaker 1: it's like we gotta finish up rest. You know. It

1877
01:50:50,240 --> 01:50:54,280
Speaker 1: took me every morning. My hands are limber up so

1878
01:50:54,320 --> 01:50:57,800
Speaker 1: I could actually make time. But generally, like at the

1879
01:50:57,880 --> 01:50:59,400
Speaker 1: end of the day, we sit down and we go

1880
01:51:00,080 --> 01:51:02,720
Speaker 1: there's a hundred left. We go, right, nothing, let's get

1881
01:51:02,800 --> 01:51:05,679
Speaker 1: them done. That's for three guys. That's like thirty minutes.

1882
01:51:05,720 --> 01:51:08,400
Speaker 1: It's done. But his sons skinned for us because we

1883
01:51:08,439 --> 01:51:12,680
Speaker 1: were catching three fifty three sixty three a day. And

1884
01:51:13,120 --> 01:51:17,760
Speaker 1: that was when I said I had skinned to pile them.

1885
01:51:18,040 --> 01:51:21,559
Speaker 1: I've skinned a pyleum, but meaning I've skinned like a

1886
01:51:21,600 --> 01:51:25,160
Speaker 1: few days worth of you guys catch. Well, here's all

1887
01:51:25,200 --> 01:51:27,320
Speaker 1: that guys doing this. I mean we were there. We

1888
01:51:27,320 --> 01:51:29,560
Speaker 1: weren't the only ones, but I'll tell you what with

1889
01:51:29,720 --> 01:51:33,519
Speaker 1: that area we were in, they were all from Wisconsin. Yeah,

1890
01:51:34,080 --> 01:51:38,160
Speaker 1: Wisconsin trapper. For some reason, I knew how to compete,

1891
01:51:38,320 --> 01:51:39,880
Speaker 1: kind of like when we go to South Dakota no

1892
01:51:39,960 --> 01:51:42,639
Speaker 1: deer hunting, we see Wisconsin plates everywhere. Yeah. I don't

1893
01:51:42,800 --> 01:51:46,719
Speaker 1: I don't know why people from Wisconsin have these certain

1894
01:51:46,800 --> 01:51:49,280
Speaker 1: weird stupid skills or I don't know if they're skills

1895
01:51:49,360 --> 01:51:53,760
Speaker 1: or desires or I don't training. I don't know that's

1896
01:51:53,760 --> 01:51:58,800
Speaker 1: why that is. But they're good rat trappers. Well we

1897
01:51:58,840 --> 01:52:00,840
Speaker 1: thought we were good until we want out there, but

1898
01:52:00,880 --> 01:52:03,320
Speaker 1: now we're good we're pretty good. No, I mean we

1899
01:52:03,439 --> 01:52:07,680
Speaker 1: developed I mean really quick, really quick. The rules are

1900
01:52:07,680 --> 01:52:09,680
Speaker 1: a lot more lax there too, as far as what

1901
01:52:09,720 --> 01:52:12,719
Speaker 1: you can and can't, Like in Wisconsin, everything that works

1902
01:52:12,800 --> 01:52:16,479
Speaker 1: really good is illegal. Oh there it was legals like,

1903
01:52:16,479 --> 01:52:19,920
Speaker 1: oh my god, we're in heaven man, like a comedy

1904
01:52:19,920 --> 01:52:25,040
Speaker 1: traps like me. It's like wow, Like in Wisconsin, comedy

1905
01:52:25,040 --> 01:52:27,200
Speaker 1: trap you can set it somewhere where it's in a run,

1906
01:52:27,280 --> 01:52:29,280
Speaker 1: but it can't be touching another colony trap. They have

1907
01:52:29,320 --> 01:52:31,280
Speaker 1: to be so many feet apart. It can only be

1908
01:52:31,320 --> 01:52:34,280
Speaker 1: in a certain area, whereas in the Dakotas and you

1909
01:52:34,320 --> 01:52:38,240
Speaker 1: can't move anywhere. We would fill the culverts with colony traps.

1910
01:52:38,439 --> 01:52:40,439
Speaker 1: Traps there has to come through and every morning you

1911
01:52:40,520 --> 01:52:44,479
Speaker 1: check you have twenty every day. And if you have

1912
01:52:44,600 --> 01:52:46,240
Speaker 1: to walk for like for me to you off the road,

1913
01:52:46,320 --> 01:52:47,760
Speaker 1: you just pull them out and you shop come out

1914
01:52:47,760 --> 01:52:50,920
Speaker 1: in a pile. It's just like well and in there

1915
01:52:50,960 --> 01:52:53,679
Speaker 1: so tight. Not another mush crack could get five six

1916
01:52:53,760 --> 01:52:56,439
Speaker 1: seven in each trap. You know how you set a

1917
01:52:56,479 --> 01:53:00,599
Speaker 1: one ten connover we got one. No, No, it was

1918
01:53:00,800 --> 01:53:03,360
Speaker 1: it was a mind blowing It was just and the

1919
01:53:03,439 --> 01:53:06,640
Speaker 1: people up there just hated him. Hated them because they're everywhere.

1920
01:53:06,720 --> 01:53:09,200
Speaker 1: And this is all that time when like people's half

1921
01:53:09,240 --> 01:53:12,840
Speaker 1: through silo was underwater and she was like, yes, trapped

1922
01:53:12,840 --> 01:53:14,839
Speaker 1: some farms. We trapped a lot of farms are underwater,

1923
01:53:15,320 --> 01:53:19,360
Speaker 1: just abandoned. Yeah, it was it was something. It was.

1924
01:53:19,600 --> 01:53:22,280
Speaker 1: So what keeps you guys going now on trapping since

1925
01:53:22,320 --> 01:53:26,160
Speaker 1: there is no for market trapping beaver? I live in

1926
01:53:26,200 --> 01:53:29,600
Speaker 1: a pretty good spot for beaver right, and we have

1927
01:53:29,720 --> 01:53:32,160
Speaker 1: heard that beaver now is coming back up because little

1928
01:53:32,160 --> 01:53:34,960
Speaker 1: bit is aig part of it. I had two fur

1929
01:53:35,040 --> 01:53:38,040
Speaker 1: buyers called me this week. Guys at that airport in Denver. Yesterday.

1930
01:53:38,080 --> 01:53:43,080
Speaker 1: When that fur buyer calls you, he says, I think

1931
01:53:43,160 --> 01:53:48,679
Speaker 1: we can make some talking. He says, we're gonna be talking.

1932
01:53:49,840 --> 01:53:52,840
Speaker 1: I said, you realize that, he says. He says, I

1933
01:53:52,920 --> 01:53:55,800
Speaker 1: know you guys caught over five hundred last spring. I said, yeah,

1934
01:53:55,840 --> 01:53:59,920
Speaker 1: we did. Um, I said, didn't guarantee we're gonna do

1935
01:53:59,960 --> 01:54:02,920
Speaker 1: that it again, depending on whether and you know, flood

1936
01:54:03,000 --> 01:54:06,599
Speaker 1: stage and prezolts and there's ten things that can go wrong.

1937
01:54:06,640 --> 01:54:08,360
Speaker 1: I said, well, we're gonna try like hell to match

1938
01:54:08,400 --> 01:54:11,360
Speaker 1: that in past years we did. Okay, we're getting any

1939
01:54:11,760 --> 01:54:13,679
Speaker 1: we made the money on Caster in the past years,

1940
01:54:13,680 --> 01:54:16,400
Speaker 1: the casters where the money was per beaver. We were

1941
01:54:16,400 --> 01:54:20,160
Speaker 1: getting six to eight bucks per beaver for Caster the cast.

1942
01:54:20,439 --> 01:54:22,120
Speaker 1: That market went down a little bit, right, a little bit,

1943
01:54:22,120 --> 01:54:23,840
Speaker 1: a little bit, but all the first coming up, so

1944
01:54:23,880 --> 01:54:26,280
Speaker 1: it's probably going to be a wash. I think we

1945
01:54:26,320 --> 01:54:29,200
Speaker 1: don't know. We haven't been promised any numbers yet. But

1946
01:54:29,240 --> 01:54:31,720
Speaker 1: we got to kill them first. And the thing is

1947
01:54:31,720 --> 01:54:33,440
Speaker 1: is a lot of places to be trapped. I mean

1948
01:54:33,440 --> 01:54:37,240
Speaker 1: they're flooding roads, whether it's you know, public land, private land.

1949
01:54:37,840 --> 01:54:39,720
Speaker 1: We've had people come to us and say, hey, you know,

1950
01:54:39,920 --> 01:54:42,160
Speaker 1: I can't get can't get through my driveway because it's

1951
01:54:42,160 --> 01:54:45,080
Speaker 1: flooded from beaver. And they're cool animal and everything, but

1952
01:54:45,120 --> 01:54:47,240
Speaker 1: it gets to a point where you got to send

1953
01:54:47,280 --> 01:54:49,440
Speaker 1: them a little and the market is low, which has

1954
01:54:49,480 --> 01:54:53,120
Speaker 1: been for quite a while, the population explodes. Yeah, that's

1955
01:54:53,120 --> 01:54:56,160
Speaker 1: been great for beavers, I mean the animals themselves. The

1956
01:54:56,200 --> 01:54:59,320
Speaker 1: lower market has been phenomenal. But all your problem beaver

1957
01:54:59,600 --> 01:55:02,440
Speaker 1: or general, really flooding out any kind of public role,

1958
01:55:02,560 --> 01:55:05,920
Speaker 1: they get killed, the government kills him. You're paying for it,

1959
01:55:06,000 --> 01:55:08,600
Speaker 1: your federal tax dollars paying for it. They got trappers, ouctor,

1960
01:55:08,920 --> 01:55:10,880
Speaker 1: your ound killing them being we do it for free.

1961
01:55:11,280 --> 01:55:15,280
Speaker 1: What's your teacher? Say this one? I got this for Christmas.

1962
01:55:15,480 --> 01:55:19,919
Speaker 1: That's good. Never underestimate an old man with a chainsaw.

1963
01:55:20,440 --> 01:55:23,760
Speaker 1: I got them for Christmas. Nice. Yeah. I got a

1964
01:55:23,760 --> 01:55:25,960
Speaker 1: beaver whisper one too, but I couldn't decide what you

1965
01:55:26,000 --> 01:55:30,040
Speaker 1: want to wear. My wife got me the beaver Whisperer one.

1966
01:55:31,680 --> 01:55:35,480
Speaker 1: Are you guys sticking around for the trivia show? Yeah? Sure, dude,

1967
01:55:35,520 --> 01:55:38,640
Speaker 1: I love you channel man. Thanks, Thanks, it's fun. It's

1968
01:55:38,680 --> 01:55:42,160
Speaker 1: been a real wild ride. When I first got into it,

1969
01:55:42,160 --> 01:55:45,320
Speaker 1: I thought, you know, I can make an extra five

1970
01:55:45,400 --> 01:55:47,800
Speaker 1: hundred thousand bucks a month. That was my goal. And

1971
01:55:47,840 --> 01:55:52,160
Speaker 1: I know people that were doing you're saying five thousand

1972
01:55:52,800 --> 01:55:57,000
Speaker 1: because you know, just for doing some videos or something

1973
01:55:57,000 --> 01:55:59,440
Speaker 1: I like to do. Yeah, I'm doing it anyway, but

1974
01:55:59,560 --> 01:56:02,560
Speaker 1: as well, So I started recording it and now it's

1975
01:56:02,600 --> 01:56:06,320
Speaker 1: turned into basically another job. But it's fun and I

1976
01:56:06,360 --> 01:56:09,520
Speaker 1: like it, and it's just growing. Yeah, the trapping and fire,

1977
01:56:09,560 --> 01:56:12,000
Speaker 1: which is stuff we've done her whole life. It's not

1978
01:56:12,080 --> 01:56:14,240
Speaker 1: a big deal. I always say to everybody, whatever your

1979
01:56:14,240 --> 01:56:17,240
Speaker 1: passion is, whatever you're really good at, whatever your talented at,

1980
01:56:17,360 --> 01:56:20,320
Speaker 1: start a YouTube channel. But put everything you got into it.

1981
01:56:21,560 --> 01:56:26,400
Speaker 1: You always say that to everybody, you know. There was

1982
01:56:26,400 --> 01:56:29,200
Speaker 1: a girl on the plane. On the plane, she looked

1983
01:56:29,200 --> 01:56:31,520
Speaker 1: me up. She's just as incredible. She's a big baker.

1984
01:56:31,760 --> 01:56:34,800
Speaker 1: She's here, she's here, she lives here, she lives here. Yeah,

1985
01:56:35,160 --> 01:56:36,840
Speaker 1: I told her, I said, started channel. I said, you

1986
01:56:36,840 --> 01:56:39,720
Speaker 1: do she does bread stuff like that? Started channel. I

1987
01:56:39,760 --> 01:56:42,400
Speaker 1: do have a loaf of bread in my Duffel bag.

1988
01:56:42,560 --> 01:56:44,840
Speaker 1: My wife sent for you. She's been making the seller.

1989
01:56:45,360 --> 01:56:50,600
Speaker 1: Oh no, ship, I got red flags because I don't

1990
01:56:50,640 --> 01:56:52,840
Speaker 1: know why, but she's been doing the seller does stuff

1991
01:56:52,880 --> 01:56:55,200
Speaker 1: that's great. Man. So they called an organic mass when

1992
01:56:55,240 --> 01:56:59,760
Speaker 1: they pulled you over, Well, it came through the scanner.

1993
01:57:00,600 --> 01:57:04,000
Speaker 1: What do you got interested? It's bread? Yeah, because I

1994
01:57:04,000 --> 01:57:05,760
Speaker 1: got I one time I had him say that there's

1995
01:57:05,760 --> 01:57:10,160
Speaker 1: an organic mass in your bag? Right? What was it?

1996
01:57:10,200 --> 01:57:13,480
Speaker 1: Was an elk tongue. Yeah, they can just tell when

1997
01:57:13,480 --> 01:57:15,840
Speaker 1: I zapp it that they can tell that. Well, I said,

1998
01:57:15,920 --> 01:57:19,240
Speaker 1: number the raisins and the races. I'm not kidding. You

1999
01:57:19,240 --> 01:57:23,040
Speaker 1: can see the raisins on the screen there. I told

2000
01:57:23,080 --> 01:57:24,680
Speaker 1: my wife, I said, I got pulled over by the

2001
01:57:24,720 --> 01:57:28,200
Speaker 1: t s A because that loafur freaking bread. You're gonna

2002
01:57:28,200 --> 01:57:30,040
Speaker 1: give it to me. Yeah, she made it for you.

2003
01:57:30,360 --> 01:57:32,160
Speaker 1: We got something else for you too. I got something

2004
01:57:32,200 --> 01:57:35,520
Speaker 1: else here too. Let's dig in. She said that's no way.

2005
01:57:35,520 --> 01:57:37,440
Speaker 1: I said, yeah, I said, t s A got me

2006
01:57:37,440 --> 01:57:39,640
Speaker 1: at the airport over your bread. You know I'm getting

2007
01:57:39,680 --> 01:57:43,280
Speaker 1: um tonight. I'm taking possession of of a sable hat

2008
01:57:43,480 --> 01:57:46,520
Speaker 1: that I had made for my wife. Nice because who

2009
01:57:46,560 --> 01:57:51,200
Speaker 1: sold it is Yanni's friend, Um, Yanni's friends Sueme, I justice,

2010
01:57:52,000 --> 01:57:55,960
Speaker 1: So is that how it said? So we've got two

2011
01:57:56,000 --> 01:57:58,120
Speaker 1: of them, whichever one fits you better. And I know

2012
01:57:58,200 --> 01:58:00,240
Speaker 1: you got one, but oh yeah, sorry, I know you

2013
01:58:00,320 --> 01:58:02,880
Speaker 1: got bread. That's your bread. You can give it to whoever.

2014
01:58:03,320 --> 01:58:07,800
Speaker 1: We got two different sizes. That's the Wisconsin beer. Well

2015
01:58:07,960 --> 01:58:12,720
Speaker 1: that's not that Janckie Montana stuff. That's a different style

2016
01:58:12,760 --> 01:58:16,080
Speaker 1: than Steve. Yeah, you can only wear it if it's

2017
01:58:16,080 --> 01:58:19,600
Speaker 1: ptable old because you will be sweating. That's they're so warm.

2018
01:58:20,280 --> 01:58:22,080
Speaker 1: What do you guys call that? That is so different?

2019
01:58:22,120 --> 01:58:26,800
Speaker 1: That that's so different Trooper feel the fur on that

2020
01:58:26,880 --> 01:58:30,000
Speaker 1: compared out here? Well, I don't. Well, you'll know when

2021
01:58:32,320 --> 01:58:34,080
Speaker 1: we've got some of the best beaver in the world

2022
01:58:34,280 --> 01:58:36,840
Speaker 1: where we live, where I live that's nice stuff. Incredible, man,

2023
01:58:37,960 --> 01:58:42,320
Speaker 1: that's nice boy. That black like that, that's not even black,

2024
01:58:42,520 --> 01:58:44,960
Speaker 1: that's just that's just dark. We get them black, We

2025
01:58:45,000 --> 01:58:50,880
Speaker 1: do get blacks. Yeah, well that's beautiful man. Yeah, you

2026
01:58:50,880 --> 01:58:53,760
Speaker 1: don't even for snowmobiling. Yeah, that's what I've been using.

2027
01:58:53,840 --> 01:58:57,400
Speaker 1: Mind for it. The world's greatest snowbill hat, ice fish

2028
01:58:57,400 --> 01:59:01,160
Speaker 1: and hat everybody should have. It's like all you ever

2029
01:59:01,200 --> 01:59:04,160
Speaker 1: watched the fur hat? Yes, I have. I saw a

2030
01:59:04,160 --> 01:59:09,520
Speaker 1: couple of dude that is like, put that on, and

2031
01:59:09,600 --> 01:59:13,920
Speaker 1: that is a warm There's nothing. There's nothing warmer than that.

2032
01:59:14,120 --> 01:59:16,360
Speaker 1: Nothing we'll have. Carmen tried it on because she needs

2033
01:59:16,400 --> 01:59:18,880
Speaker 1: one for a snowbile. This one might be the one

2034
01:59:18,880 --> 01:59:23,280
Speaker 1: for you. That's a big one. That's Carmen. Try that one.

2035
01:59:24,600 --> 01:59:27,120
Speaker 1: We allowed it is Carmen allowed to take one first one. No, no, no,

2036
01:59:27,400 --> 01:59:35,000
Speaker 1: I don't deserve that. That's that's yours. That's it looks good,

2037
01:59:35,280 --> 01:59:42,400
Speaker 1: that's yours. I gotta get with the flaps down, you know,

2038
01:59:42,600 --> 01:59:48,200
Speaker 1: but you know what your GoGG will stand yours. No, no, no, no,

2039
01:59:48,240 --> 01:59:50,880
Speaker 1: you gotta take that one. Take that one. You gotta

2040
01:59:50,920 --> 01:59:54,280
Speaker 1: do it. Yeah, Well it's good and means speaking of

2041
01:59:54,360 --> 01:59:56,760
Speaker 1: not hearing though when I put my goggles on. You know,

2042
01:59:56,840 --> 01:59:59,360
Speaker 1: snowobile is not good for your years, so kind of

2043
01:59:59,440 --> 02:00:01,680
Speaker 1: you know, for my kids always riding on the back

2044
02:00:01,880 --> 02:00:04,640
Speaker 1: talking about something. I'm like, do you understand I have

2045
02:00:04,800 --> 02:00:07,080
Speaker 1: a fur hat on and then I have my snow

2046
02:00:07,360 --> 02:00:11,240
Speaker 1: goggles strap over my ears. I don't know, and this

2047
02:00:11,360 --> 02:00:17,040
Speaker 1: machine is noisy. I don't know what you're talking. Aware

2048
02:00:17,080 --> 02:00:19,680
Speaker 1: that someone's talking. I need to take a picture of that. Yeah,

2049
02:00:19,680 --> 02:00:24,200
Speaker 1: we got to get all. This is a group phote on.

2050
02:00:25,760 --> 02:00:27,880
Speaker 1: When you start ripping around and then brand new snowmobiles

2051
02:00:27,880 --> 02:00:30,760
Speaker 1: that are coming your way already you go vision and style. No,

2052
02:00:30,880 --> 02:00:33,520
Speaker 1: I gotta tell you that when we do catch links

2053
02:00:33,560 --> 02:00:39,640
Speaker 1: because I'm going to be positive, we're going to h Yeah,

2054
02:00:39,680 --> 02:00:42,840
Speaker 1: I need a coat so no, you're standing there in

2055
02:00:42,840 --> 02:00:44,840
Speaker 1: the freezing cold for a long time, you start getting

2056
02:00:44,840 --> 02:00:48,440
Speaker 1: really cold, So this will be perfect. Do the little

2057
02:00:49,040 --> 02:00:54,120
Speaker 1: deally upfront pane? Well, the guy that makes them for me,

2058
02:00:54,200 --> 02:00:56,440
Speaker 1: that's the style he makes. I mean they make different,

2059
02:00:56,480 --> 02:01:01,200
Speaker 1: but these two are different, aren't they different? Same? Different size?

2060
02:01:01,680 --> 02:01:03,800
Speaker 1: That's three and that's the four. You know what I'm

2061
02:01:03,800 --> 02:01:05,760
Speaker 1: getting made right now is I'm getting ah I sent

2062
02:01:05,840 --> 02:01:09,240
Speaker 1: in some muskrats right now to Don Clifford, and he's

2063
02:01:09,280 --> 02:01:11,840
Speaker 1: doing me a muskrat one of these with a leather bill,

2064
02:01:12,240 --> 02:01:14,080
Speaker 1: because you know the sons just killing you can get

2065
02:01:14,080 --> 02:01:15,920
Speaker 1: those two. I mean, these are just the ones that

2066
02:01:16,000 --> 02:01:19,000
Speaker 1: I've always gotten. Everybody in my family's got him. All

2067
02:01:19,040 --> 02:01:25,640
Speaker 1: my kids got him, all my kids brings. But you

2068
02:01:25,680 --> 02:01:28,920
Speaker 1: put plucked and cheered on the inside. Well, there aren't

2069
02:01:28,920 --> 02:01:31,360
Speaker 1: plucked and sheered the that's just on the mittens. You

2070
02:01:31,400 --> 02:01:33,400
Speaker 1: put like a plucked and sheered It's just it's just

2071
02:01:33,440 --> 02:01:37,640
Speaker 1: a felt was that just felt? You guys all got

2072
02:01:37,680 --> 02:01:41,480
Speaker 1: all your fingers? Yeah, that's good. How many times we've

2073
02:01:41,480 --> 02:01:45,720
Speaker 1: been caught in a trap all of them? Ever lost

2074
02:01:45,760 --> 02:01:48,000
Speaker 1: a finger on your wood splitter or something? Yet I've

2075
02:01:48,040 --> 02:01:50,280
Speaker 1: seen guys that have. Yeah, I know a couple of

2076
02:01:50,320 --> 02:01:54,400
Speaker 1: people lost tips. Yeah that he looks so good. Yeah,

2077
02:01:54,520 --> 02:01:59,440
Speaker 1: Carmen looked great. But you'd wear it, wear it right

2078
02:01:59,480 --> 02:02:01,240
Speaker 1: in your snowbill though. Oh this is gonna be why

2079
02:02:01,280 --> 02:02:04,440
Speaker 1: I wear it for the rest of my life. This

2080
02:02:04,520 --> 02:02:08,360
Speaker 1: is incredible. The only bad thing about a fur hat

2081
02:02:08,440 --> 02:02:11,120
Speaker 1: is it's unfortunate it came from an animal. I mean,

2082
02:02:11,240 --> 02:02:13,440
Speaker 1: it would be nice, but there's nothing like a real

2083
02:02:13,480 --> 02:02:15,840
Speaker 1: fur there just isn't. The good thing is they make

2084
02:02:15,880 --> 02:02:18,080
Speaker 1: them every day. There's more beaver being made right now.

2085
02:02:20,200 --> 02:02:21,880
Speaker 1: I gotta tell you a a quick story. I actually wrote

2086
02:02:21,880 --> 02:02:25,160
Speaker 1: about this one time. But I had my first muskrat

2087
02:02:25,200 --> 02:02:28,880
Speaker 1: hat I had made. I was still grown, and so

2088
02:02:29,040 --> 02:02:31,160
Speaker 1: it's just like every year got tighter and tighter and tighter.

2089
02:02:31,520 --> 02:02:34,080
Speaker 1: You would like give me headaches, man. And at one

2090
02:02:34,080 --> 02:02:36,960
Speaker 1: point in time, at one point time, I lose because

2091
02:02:36,960 --> 02:02:39,000
Speaker 1: I'm always taking it off because it's not comfortable, I

2092
02:02:39,040 --> 02:02:41,800
Speaker 1: lose my fur hat. I can show you the exact

2093
02:02:41,800 --> 02:02:43,960
Speaker 1: spot I lost my fur hat, right where I caught

2094
02:02:44,000 --> 02:02:47,760
Speaker 1: my first otter, not the same day I'm going. I

2095
02:02:47,840 --> 02:02:49,320
Speaker 1: lose my fur hat and it's just gone. I have

2096
02:02:49,320 --> 02:02:51,320
Speaker 1: no idea what happened to it. One day, I'm going

2097
02:02:51,320 --> 02:02:54,720
Speaker 1: down the road with my friend ed Barefoot. We're driving

2098
02:02:54,720 --> 02:02:57,120
Speaker 1: along in his station wagon, going out to a place

2099
02:02:57,160 --> 02:03:01,080
Speaker 1: called Cisco Bayou, and I see melting out of the

2100
02:03:01,120 --> 02:03:03,800
Speaker 1: snow bank a road kill muskrat. I'm not shipping you.

2101
02:03:04,480 --> 02:03:06,640
Speaker 1: I see a road kill muskrat melting out of the

2102
02:03:06,640 --> 02:03:09,840
Speaker 1: snow bank, and I tell him to stop it. Your hat,

2103
02:03:09,920 --> 02:03:13,600
Speaker 1: my hat because it was a spot right jump out

2104
02:03:13,600 --> 02:03:15,480
Speaker 1: because there was a creek crossing right there and I

2105
02:03:15,520 --> 02:03:17,880
Speaker 1: just thought a muskrat got hit by car, but hey, stop,

2106
02:03:18,560 --> 02:03:21,840
Speaker 1: go overre pulled out of the bank. It's my damn hat. Yeah,

2107
02:03:22,440 --> 02:03:25,640
Speaker 1: and I don't know where it's at any right, So

2108
02:03:25,960 --> 02:03:29,560
Speaker 1: to put a bowl on the trapping thing? Um right now,

2109
02:03:29,600 --> 02:03:32,800
Speaker 1: it's the beaver is going up in price because of

2110
02:03:32,960 --> 02:03:37,000
Speaker 1: yellow Stone the show, and because some singers Beyonce just

2111
02:03:37,040 --> 02:03:39,480
Speaker 1: did a bunch of videos I guess wearing the stets

2112
02:03:39,480 --> 02:03:42,040
Speaker 1: and hats, and stets and hats are made with the

2113
02:03:42,360 --> 02:03:46,240
Speaker 1: under fur, the felt apart from the beaver. That's it's

2114
02:03:46,400 --> 02:03:48,680
Speaker 1: so madly man like. You can wear a leather and

2115
02:03:48,680 --> 02:03:51,440
Speaker 1: everybody's cool with it, right because the fur is gone.

2116
02:03:51,480 --> 02:03:56,880
Speaker 1: And then now you can wear a beaver. Like if

2117
02:03:56,880 --> 02:03:58,480
Speaker 1: you have a stets and hat, take a look on

2118
02:03:58,520 --> 02:04:00,120
Speaker 1: the inside of that something bit and you'll say, up

2119
02:04:00,280 --> 02:04:02,840
Speaker 1: like ten x or whatever that is made from a

2120
02:04:02,880 --> 02:04:09,160
Speaker 1: beaver's fur. You're supporting trapping, thank you. That's great. As

2121
02:04:09,160 --> 02:04:10,640
Speaker 1: long as we're making some money off of it, I

2122
02:04:10,680 --> 02:04:14,240
Speaker 1: don't care. You know, we don't get paid very much

2123
02:04:14,240 --> 02:04:18,320
Speaker 1: for trapping beaver. It's a pretty low income deal these

2124
02:04:18,480 --> 02:04:20,520
Speaker 1: it's it's like getting going hunting and getting paid when

2125
02:04:20,520 --> 02:04:22,480
Speaker 1: you get hoomers. You know what a cost of going

2126
02:04:22,560 --> 02:04:24,920
Speaker 1: hunting trip. Yeah, well, at the end of our trip

2127
02:04:26,000 --> 02:04:28,760
Speaker 1: we made money out. We didn't make a lot, but

2128
02:04:28,880 --> 02:04:30,640
Speaker 1: we made some and we had a hell of a

2129
02:04:30,720 --> 02:04:34,040
Speaker 1: time doing it. Dude, the quality of this compared to

2130
02:04:34,120 --> 02:04:36,800
Speaker 1: the ones we have around here, which are blond and

2131
02:04:37,440 --> 02:04:41,280
Speaker 1: blond and skanky, the quality of this is unbelievable. I

2132
02:04:41,400 --> 02:04:46,360
Speaker 1: only I can't stop touching. Everybody likes the pet beaver, right,

2133
02:04:47,920 --> 02:04:50,720
Speaker 1: this is great man. So yeah, I only keep the

2134
02:04:50,800 --> 02:04:53,560
Speaker 1: very best for the hats sell arrest. I mean I

2135
02:04:53,560 --> 02:04:55,200
Speaker 1: don't not all of them. I mean I only do

2136
02:04:55,280 --> 02:04:58,280
Speaker 1: like twenty a year. I don't do a lot. So no,

2137
02:04:58,480 --> 02:05:01,560
Speaker 1: my wife, so my wife as a machine though we're

2138
02:05:01,600 --> 02:05:03,720
Speaker 1: trying to figure it out. I'm hoping she can learn

2139
02:05:03,720 --> 02:05:06,360
Speaker 1: how home. Right now, we're having them made, but the

2140
02:05:06,400 --> 02:05:08,440
Speaker 1: slow part is getting them to the tannery and getting

2141
02:05:08,440 --> 02:05:10,960
Speaker 1: the fur back from a tannery sometimes to sixty eight months,

2142
02:05:10,960 --> 02:05:12,720
Speaker 1: and then send them the hat maker. There might be

2143
02:05:12,720 --> 02:05:16,480
Speaker 1: another sixt eight months, so it's not like they're all

2144
02:05:17,200 --> 02:05:19,800
Speaker 1: and then doesn't fit you. You know, we gotta carry three, four,

2145
02:05:20,000 --> 02:05:23,440
Speaker 1: five sizes I might have it. We're gonna get into that.

2146
02:05:23,440 --> 02:05:25,680
Speaker 1: We're gonna get into the fur hat mitten bis man,

2147
02:05:26,360 --> 02:05:29,360
Speaker 1: here you go, because it's so great. It is. It's awesome.

2148
02:05:29,880 --> 02:05:33,440
Speaker 1: So yeah, I figure you might like it as nice design. Man,

2149
02:05:33,840 --> 02:05:36,680
Speaker 1: good in this thing. You look like you're like going

2150
02:05:36,720 --> 02:05:41,640
Speaker 1: down like a like a fashion runway. I've never seen

2151
02:05:41,680 --> 02:05:43,880
Speaker 1: that hat on anybody that doesn't look good, and I'm

2152
02:05:43,880 --> 02:05:46,000
Speaker 1: not kidding you. The thing that's cool about it is

2153
02:05:46,400 --> 02:05:48,440
Speaker 1: I've had three or four different ones that I've sold

2154
02:05:48,440 --> 02:05:50,360
Speaker 1: because people I gotta have it. What do you gotta have?

2155
02:05:50,880 --> 02:05:53,240
Speaker 1: I know, like guys getting out. Okay, here's what they

2156
02:05:53,240 --> 02:05:56,240
Speaker 1: cost you. I'm just reading your lipstick. Got my hat on?

2157
02:05:59,640 --> 02:06:02,080
Speaker 1: Gave I had? Anyway? I need another hat? Guess who

2158
02:06:02,080 --> 02:06:07,680
Speaker 1: he calls? Yeah, yeah, I'll get that splitter up to you. Yeah,

2159
02:06:07,760 --> 02:06:11,800
Speaker 1: where's that processor? Nothing? Alright, guys, we're gonna wrap it up.

2160
02:06:12,200 --> 02:06:15,440
Speaker 1: We do run time. Yeah, we can hopefully wolf down

2161
02:06:15,520 --> 02:06:17,680
Speaker 1: some lunch. Appreciate you coming on. Man, you guys are

2162
02:06:17,680 --> 02:06:20,000
Speaker 1: staying for the trivia show. Yeah, you know what, I

2163
02:06:20,040 --> 02:06:22,320
Speaker 1: don't think that you're gonna win. I can probably not

2164
02:06:22,360 --> 02:06:26,520
Speaker 1: because here's the deal. He's gonna throw you one bone.

2165
02:06:27,640 --> 02:06:30,560
Speaker 1: If he knows does he know the here he's gonna

2166
02:06:30,560 --> 02:06:34,520
Speaker 1: throw you one bone. I think I'm gonna beat you probably.

2167
02:06:34,680 --> 02:06:36,640
Speaker 1: I played along on one of them. I watched and

2168
02:06:36,680 --> 02:06:38,920
Speaker 1: I got five. Right, So you played along on one?

2169
02:06:38,920 --> 02:06:41,800
Speaker 1: Did five? You know what? You'll beat the ship out

2170
02:06:41,800 --> 02:06:46,720
Speaker 1: of Christ? Definitely got the I got the one we

2171
02:06:46,760 --> 02:06:50,200
Speaker 1: had the red Snapper. I got that because he asked

2172
02:06:50,200 --> 02:06:51,960
Speaker 1: me that and I knew it. And the one that

2173
02:06:52,080 --> 02:06:55,760
Speaker 1: was what the author what was his name anyway? Henyway

2174
02:06:55,960 --> 02:06:58,800
Speaker 1: the sun was awarding or something? Got that goes a

2175
02:06:58,800 --> 02:07:01,800
Speaker 1: good guess. Yeah, I think I got fired about that one,

2176
02:07:02,400 --> 02:07:03,920
Speaker 1: just so I know, I just want to works. I

2177
02:07:03,960 --> 02:07:08,280
Speaker 1: had a guy that plays at home, the blue collar scholar.

2178
02:07:09,400 --> 02:07:11,600
Speaker 1: He reached out to me about a problem he's having

2179
02:07:11,640 --> 02:07:14,320
Speaker 1: where he's like he had to admit because he plays

2180
02:07:14,360 --> 02:07:17,960
Speaker 1: at home and sends me these great scores okay of

2181
02:07:18,040 --> 02:07:21,200
Speaker 1: his home score sheet. We fly him into play and

2182
02:07:21,240 --> 02:07:25,520
Speaker 1: he bombs he well, he told me, goes well, this

2183
02:07:25,680 --> 02:07:27,840
Speaker 1: one thing he was texting me is one thing I

2184
02:07:27,880 --> 02:07:36,000
Speaker 1: didn't mention. As I pause, he hits to think because

2185
02:07:36,040 --> 02:07:40,800
Speaker 1: it's a high stress environment because you're being heckled, right,

2186
02:07:41,240 --> 02:07:43,120
Speaker 1: You're like trying to make sure no one gives a hint,

2187
02:07:43,960 --> 02:07:46,200
Speaker 1: and it's high stress, and he can hit pause and

2188
02:07:46,280 --> 02:07:50,840
Speaker 1: just contemplate, and I have to deal with a lot

2189
02:07:50,880 --> 02:07:53,320
Speaker 1: of stress. Oh and he could come back two hours later.

2190
02:07:53,600 --> 02:07:55,440
Speaker 1: He could think about the question for two hours if

2191
02:07:55,440 --> 02:07:59,840
Speaker 1: he wanted to know. After a recent game, we had

2192
02:07:59,840 --> 02:08:03,520
Speaker 1: a real problem with how a question was worded, I did,

2193
02:08:03,600 --> 02:08:06,440
Speaker 1: and and the winner that day Randall had a problem

2194
02:08:06,440 --> 02:08:09,080
Speaker 1: how a question was worded, and so he and I

2195
02:08:09,200 --> 02:08:12,480
Speaker 1: later texted back and forth about how we felt the

2196
02:08:12,600 --> 02:08:17,080
Speaker 1: question should have been worded, and we sent the rewording

2197
02:08:17,360 --> 02:08:21,560
Speaker 1: to the host, Spencer new Heart, and then Randall made

2198
02:08:21,560 --> 02:08:23,840
Speaker 1: a joke that he says, I like to reword the

2199
02:08:23,920 --> 02:08:26,040
Speaker 1: questions until I get to a point where I feel

2200
02:08:26,040 --> 02:08:29,720
Speaker 1: as though I would have guessed it. And that's what

2201
02:08:29,880 --> 02:08:32,000
Speaker 1: he had done, is just reworded until he felt like

2202
02:08:32,040 --> 02:08:35,000
Speaker 1: he would have gotten it. So even that, like the syntax,

2203
02:08:35,160 --> 02:08:38,880
Speaker 1: the wording can impact the performance. Very stressful, Steve, I

2204
02:08:38,920 --> 02:08:41,040
Speaker 1: gotta say, Brodie's surpassing you and who can be the

2205
02:08:41,040 --> 02:08:44,040
Speaker 1: biggest grump complainer in the room so hot if you

2206
02:08:44,080 --> 02:08:49,160
Speaker 1: want to reclaim your crown? Brody is grumpy? Do I

2207
02:08:49,160 --> 02:08:56,200
Speaker 1: mean like I get grumpy playing tribute, but Brody is grumpy. Yeah,

2208
02:08:56,400 --> 02:09:01,680
Speaker 1: that's the victories and that Krinn isn't Krinn. That's Hayden. Hayden.

2209
02:09:01,720 --> 02:09:05,360
Speaker 1: Samcau with three You had to Steel Crins lit Area.

2210
02:09:05,760 --> 02:09:11,360
Speaker 1: Oh yeah, thanks for joining. Everybody good concluder