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

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Speaker 1: bug bitten, and in my case, underwear listeningcast, you can't

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Speaker 1: predict anything.

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Speaker 2: The Meat Eater Podcast is brought to you by First Light.

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Speaker 2: Whether you're checking trail cams, hanging deer stands, or scouting

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Speaker 2: for el, First Light has performance apparel to support every

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Speaker 2: hunter in every environment. Check it out at first light

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Speaker 2: dot com. F I R S T l I t

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Speaker 2: E dot com. Join today by a man who's understood

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Speaker 2: to be named Guy Groenwald, but who is actually Guy Grownawald.

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Speaker 3: I guess so something like that.

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Speaker 2: That's how your folks would have said it. Yea, that's

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Speaker 2: how they would have said, where do you hail from?

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Speaker 3: Uh, we're from northern Germany. So my family is right

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Speaker 3: by how in a place called Friesland.

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Speaker 2: And tell me how how how they would have sai

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Speaker 2: your last name Grumbld. They got americanized, They got americanized.

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Speaker 2: You guys are in the Midwest now we're in.

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Speaker 3: Yeah, about one hundred miles from Chicago.

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Speaker 2: Yeah, and you are a your family been long involved

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Speaker 2: in the fur business, a little over one hundred years.

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Speaker 4: Yeah, yep, man, So.

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Speaker 2: You guys picked right up whe Hudson Bay Company left off.

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Speaker 3: Well, really, Hudson Bay didn't leave off till three years ago.

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Speaker 2: But really, yeah, you have to explain that. Yeah, sure,

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Speaker 2: did you know that, Randall? I can't say that I did,

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Speaker 2: stumped Old Randall.

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Speaker 3: Yeah. Yeah, the oldest corporation.

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Speaker 2: Hudson Bay Company, was around in some fashion until three

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Speaker 2: years ago.

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Speaker 3: Yeah.

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Speaker 2: Absolutely, they all happened.

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Speaker 4: Three years ago.

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Speaker 3: NAFA went out of business.

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Speaker 2: I thought something, dude, Biden, No, go on, you know,

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Speaker 2: it's in the spirit of blame and everything, right.

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Speaker 5: Right, timeline sixteen seventy to one, like three hundred and

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Speaker 5: fifty years Yeah, is that right?

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Speaker 6: Yeah, they're still dealing with fur Oh that one is

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Speaker 6: that one?

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Speaker 7: Uh?

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Speaker 3: NAFA went out of business North American for auctions. Yeah,

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Speaker 3: but they were the there. Originally they were the arm

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Speaker 3: of Hudson's Bay Company and like twenty some years ago

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Speaker 3: and I'm sure I'm wrong, but they they broke off

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Speaker 3: and it separated, uh, the two companies, so that's still

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Speaker 3: you know, they held their auctions at the Hudson's Bay

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Speaker 3: Company where it was in Toronto and oh way, yeah,

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Speaker 3: they only ceased having auctions in New York during I

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Speaker 3: think during the Sars outbreak. That's when they stopped having

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Speaker 3: auctions there. So like two thousand, I don't know when

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Speaker 3: when was the First Stars two thousand and eight or

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Speaker 3: something like that, maybe they stopped in New York. So, Yeah,

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Speaker 3: Hutson's Bay was around and really in some form until

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Speaker 3: just a few years ago.

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Speaker 2: Damn.

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Speaker 8: But isn't it still around just as like a department store.

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Speaker 3: Yeah, that's the Yeah, it's still a department store in Canada. Yeah.

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Speaker 2: Yeah, owned by the actual people, like owned.

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Speaker 3: By the actual No, it was not owned by the

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Speaker 3: well it was no longer no longer had they actually

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Speaker 3: owned it and stopped using the name at one point.

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Speaker 3: And then that company that they owned and didn't it

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Speaker 3: was called North American fur Auctions, became owned by other people.

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Speaker 3: It was bought by the ranchers, uh, the Mink ranchers

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Speaker 3: and the Fox ranchers of Canada and the United States,

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Speaker 3: and then it became you know, owned by the uh

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Speaker 3: a few people that ran the company there. They bought

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Speaker 3: it and uh yeah, three years ago it went bankrupt

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Speaker 3: and uh, you know a lot of a lot of

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Speaker 3: trappers lost money in it when they had skins up there. Sure,

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Speaker 3: when it actually went out of business. So, yeah, we

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Speaker 3: bought a lot of the skins out of it when

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Speaker 3: they went bankrupt. No, I'm not. We bought a lot. Yeah,

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Speaker 3: one of the biggest deals they ever did. Yeah, I

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Speaker 3: was buying up the residue from Hudson Bay fers. I

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Speaker 3: remember where I was, exact place where I did it.

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Speaker 3: I was Indu Buku Iowa, going to a wedding with

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Speaker 3: my wife on a Saturday afternoon at five o'clock. Yeah,

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Speaker 3: I remember when they We worked on the deal for

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Speaker 3: a long time time, and you know, they had asked

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Speaker 3: we were a you know, what was the date. I

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Speaker 3: don't know what the date was, but it was that

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Speaker 3: first it was, uh would be about July of twenty twenty.

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Speaker 2: I thought maybe it was when Seth was getting married.

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Speaker 2: I was going to ask you if your person's officiated

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Speaker 2: a good job, because I tore it up right here.

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Speaker 8: You who else was buying their furs that day when

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Speaker 8: we were going out of business.

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Speaker 2: Nobody just you That's why.

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Speaker 3: Uh, you know, they they had contacted everybody in the

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Speaker 3: fur trade and it was you know, it was during

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Speaker 3: COVID and it was bad and uh, you know, nobody

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Speaker 3: was buying.

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Speaker 2: And so, uh, do you had a good deal?

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Speaker 3: I did, all right.

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Speaker 2: Yeah. Was your wife annoyed that you were doing that

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Speaker 2: at the shodding?

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Speaker 3: Yeah, she was probably a little annoyed. Yeah, yeah, but

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Speaker 3: I did you know, she was happy afterwards after, you know,

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Speaker 3: she got to enjoy the fruits of the spruits of it.

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Speaker 5: So said, Hudson's Bay Company doesn't go under very enough. No,

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Speaker 5: it's a pretty rare People have been waiting on hundreds

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Speaker 5: of yes, oportunity.

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Speaker 2: This is a once in a millennium opportunity. Sweet heart,

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Speaker 2: let me know all the wedding goes.

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Speaker 3: But it was a huge deal in the fur business

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Speaker 3: when they went under, you know, they were they were

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Speaker 3: in the ranch making business as well, so you know,

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Speaker 3: it affected the entire trade. And I was I was

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Speaker 3: actually in China when I was with someone and that

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Speaker 3: was financing him, and I overheard a conversation where they

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Speaker 3: had they were gonna they had lent some money privately

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Speaker 3: to him, and I heard him say it, and he

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Speaker 3: probably regretted it that he said it in English, you know,

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Speaker 3: And so I was very aware that they were having

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Speaker 3: financial difficulties. And then you know, it became apparent a

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Speaker 3: couple months later to the trade. But I knew it.

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Speaker 3: I knew it before anybody else when we got to

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Speaker 3: cover some stuff.

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Speaker 2: And when we come back, I had in my head

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Speaker 2: where we were going to start our conversation. But now

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Speaker 2: you got me thinking about we're going to you know,

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Speaker 2: we should start our conversation when.

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Speaker 4: We come back.

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Speaker 2: Can you can you be prepared to talk about what

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Speaker 2: happened with the COVID pandemic and ranchment?

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Speaker 3: Sure I can. I can tell that story. Sure, that'd

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Speaker 3: be great.

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Speaker 2: Okay, since here, howdy, how are you liking that little scarf?

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Speaker 2: It's warm. It's not as nice as my wife's new

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Speaker 2: sea otter scarf.

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Speaker 6: No, that thing is pretty sweet. But this thing's pretty

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Speaker 6: sweet too.

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Speaker 2: Doctor Randall's here, uh Krinn And then Brent Reeves always

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Speaker 2: from Arkansas prison, and uh Spencer Newhart's here. We're gonna

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Speaker 2: be Oh so is media radio live live?

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Speaker 9: Yes?

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Speaker 2: Okay? Two different media media to radio live on the

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Speaker 2: Mediator podcast network. It's out on YouTube. What's the media

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Speaker 2: cross red puzzle? Oh? I know about that, but that's

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Speaker 2: already out. That's out too.

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Speaker 8: Both of these things have been out for a month.

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Speaker 2: I get a little I get a little confusing timeline.

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Speaker 2: I've been working just like a bad science fiction book.

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Speaker 2: If people have been noticing that there's a lot of

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Speaker 2: weird off with release dates. I've been working on this

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Speaker 2: new show thing and and it's got me gone all

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Speaker 2: damn time. So we've been having a hell of time

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Speaker 2: getting our shows recorded and put out on time. That's

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Speaker 2: why they're all caddywampus like you're hearing news and news

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Speaker 2: item anymore. That's because of that reason. But you know

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Speaker 2: when that's not yeah, it means it means off kilter

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Speaker 2: like that before.

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Speaker 8: We also got korein the other day with a joke

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Speaker 8: and it looks like it smells like updog and then

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Speaker 8: she goes, what's up dog? She just walked right into it.

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Speaker 8: It was very earnest.

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Speaker 2: What's up dog? Yeah?

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Speaker 8: And then you respond to say, not much dog, what's

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Speaker 8: up with you?

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Speaker 4: That's good?

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Speaker 8: And uh, we got you think tell him you invented it.

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Speaker 7: Uh.

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Speaker 2: One of the things we're gonna be doing on maybe

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Speaker 2: I'm the only one that knows this. One of the

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Speaker 2: things we're gonna be doing on me Eater Radio Live

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Speaker 2: is uh, I want to do segments on tattoos you regret,

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Speaker 2: so if you've got a hunting fishing tattoo that you regret, now,

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Speaker 2: it's gotta be a hunting fishing tattoo. Like I wanted

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Speaker 2: to get my wild Turkey super Slam on my arm.

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Speaker 2: It was a map of the continent with little turkey

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Speaker 2: feet where I completed my super slam. Now, at some

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Speaker 2: point I would come on the show and talk about

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Speaker 2: how I regret doing that once I get it. So

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Speaker 2: if you got like tattoos like that, we need to

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Speaker 2: hear from you. Yeah, but I don't want to hear

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Speaker 2: about your ex wife being tattooed on your arm. I

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Speaker 2: don't care about it.

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Speaker 10: Right, Like, you know, I know that we've talked about

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Speaker 10: Chester's tattoo.

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Speaker 6: Oh, his Chesterly tattoo looks like his scrolling tattoo.

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Speaker 2: We should do the first Yeah, we could do the

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Speaker 2: first episode with Chester with his fly fishing scrolling tattoo.

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Speaker 10: But maybe just like going to you know for twenty

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Speaker 10: seconds what it is. I know hopefully people have already

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Speaker 10: been watching and listening by now.

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Speaker 4: Yeah.

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Speaker 2: Media to Radio Live is a live radio show that

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Speaker 2: comes out on Thursdays on the Internet. So it's not

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Speaker 2: like the old kind of like we're not on like blank, Megahurts,

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Speaker 2: we're not broadcasting from ninety nine point seven Mega.

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Speaker 10: Hurts broadcasting on the YouTube media.

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Speaker 2: It's a classic radio show. It's a classic morning radio

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Speaker 2: show in the afternoons on Thursdays on.

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Speaker 10: The internet eleven am, mst.

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Speaker 2: Oh, classic morning radio show on the internet.

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Speaker 8: We got the prime window somehow.

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Speaker 2: Yeah. Yeah, it's not quite drive time, it's not lunchtime.

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Speaker 10: It's kind of lunch time untime.

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Speaker 2: Lunchtime in New York time. And it's a it's a

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Speaker 2: it's a radio show, live call ins, we check in

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Speaker 2: from people around the country. We got correspondence. It's a

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Speaker 2: lot of fun. Anything can happen, and we're gonna do,

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Speaker 2: and we're gonna cover tattoos people regret.

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Speaker 8: And Steve was complaining about how by time some of

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Speaker 8: these podcasts comes out, the news is out of fashion.

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Speaker 8: That won't be the case with media radio.

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Speaker 2: So now we can do.

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Speaker 4: Now you can do.

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Speaker 2: We can do real things when they're happening good. Like,

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Speaker 2: for instance, I'm gonna say I'm gonna tell a story

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Speaker 2: right now that isn't true because in my world last

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Speaker 2: night I went to yoga with my wife, which I

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Speaker 2: do once a month.

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Speaker 8: Is that a compromise?

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Speaker 2: What am I saying? I do it once a year.

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Speaker 2: I go to yoga like about once a year. Last

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Speaker 2: night and she asked me if I liked it, and

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Speaker 2: I'm like, I didn't like it because a guy set

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Speaker 2: up right in front of me, And I said, I

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Speaker 2: was telling her she thinks this is indefensible. I was like,

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Speaker 2: when I see a guy come to yoga by himself,

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Speaker 2: I view it like an adult at a when an

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Speaker 2: adult comes to like a children's playground without a kid.

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Speaker 2: Like I'm like, I met yoga. I'm with my wife.

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Speaker 2: Why are you down here? You know what I mean? Like,

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Speaker 2: I'm not here with my wife for restorative yoga. I'm

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Speaker 2: here like I don't want to be here. I'm here

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Speaker 2: because my wife wanted to.

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Speaker 8: Come once a year in negotiation.

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Speaker 2: Yeah, and then like some guy comes in by himself,

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Speaker 2: Like what are you doing down here?

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Speaker 9: Did he get a good stretch?

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Speaker 5: If once a year? If once year was meeting in

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Speaker 5: the middle, where did you start on that?

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Speaker 4: I thought you were saying he was in front of

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Speaker 4: me and you were liketed.

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Speaker 2: Second, No, I just like the whole time I had

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Speaker 2: to look at this guy stretching out. It's like I

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Speaker 2: couldn't stand it. Man, that's a lot about my psychologist.

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Speaker 6: I don't blame you.

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Speaker 2: And it was called restorative yoga, which means you don't

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Speaker 2: do much. You don't do much.

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Speaker 8: Was once a year in negotiation, Steve, did you have

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Speaker 8: to Uh, how'd you arrive at that number?

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Speaker 4: Uh?

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Speaker 2: I'd gone the longest had ever gone without seeing my

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Speaker 2: wife because I was gone for two weeks for work.

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Speaker 2: Now I was with my kids for two weeks fishing,

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Speaker 2: and so I had seen my wife in a whole month.

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Speaker 2: So we're just trying to capitalize on opportunities to hang

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Speaker 2: out together. And so that involved me going to yoga.

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Speaker 2: So if you see I look very stretched out, that's

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Speaker 2: what's going on.

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Speaker 3: You restored.

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Speaker 2: Yep, here's some good news. So we reported during the

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Speaker 2: Trump administration, we reported heavily on their efforts to increase

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Speaker 2: recreational access on the refuge system. So a deal with

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Speaker 2: the refuge systems is how can I explain this? Help

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Speaker 2: me explain this? Randall National Force. Let's say you're doing

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Speaker 2: this on a national forest, a national forest lands. The

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Speaker 2: fish and Game laws of the state are going to

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Speaker 2: apply on national forest lands right, yep, it's like the

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Speaker 2: national for the National Forest Service, which is an arm

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Speaker 2: of the USDA. Like, they don't make regulatory overlays on

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Speaker 2: top of state regulations.

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Speaker 5: Why you look like, well, there are certain circumstances. It's

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Speaker 5: sort of like open unless otherwise posted, right, I mean,

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Speaker 5: like there's certain areas in national forests, like where there

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Speaker 5: might be a recreational site or wherever where there are

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Speaker 5: boundaries where you can't hunt and fish.

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Speaker 2: No. No, but they don't have regulatory overlays. You wouldn't go

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Speaker 2: and be like a forest. I see what you're you can't.

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Speaker 5: Not a different limit?

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Speaker 2: Yeah, yeah, yeah. Well the refuge system, the National Wildlife

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Speaker 2: Refuge System caused causes a lot of confusion because they

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Speaker 2: have a lot of regulatory overlays specific to the refuge areas,

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Speaker 2: and so when you're going there, you can look at

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Speaker 2: what's allowed in your state, and then you also got

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Speaker 2: to go like, well, what about on the refuge because

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Speaker 2: the refuge is going to have all kinds of extra

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Speaker 2: things in place, right, like extra regulations, and so it

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Speaker 2: creates a lot of confusion. Under the Trump administration, they

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Speaker 2: were trying to open up a lot of hunting and

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Speaker 2: fishing things because some of the regul some of the

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Speaker 2: refuge regulations felt somewhat arbitrary, meaning you know, there's like

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Speaker 2: refuges that you couldn't fish on, and no one's quitt

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Speaker 2: clear on why you couldn't fish there. Now, the refuges

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Speaker 2: often have like a very specific purpose, like you could

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Speaker 2: have a refuge meant to be a nesting ground for

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Speaker 2: shore birds, right, and so you'll take regulatory measures to

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Speaker 2: help it achieve that specific purpose and goal. But what

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Speaker 2: they were doing is they were looking at refuges and

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Speaker 2: being where are we missing opportunities, Like where could we

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Speaker 2: increase hunting and fishing access, decrease regulatory confusion, and open

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Speaker 2: up opportunities to hunt and fish in ways that won't

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Speaker 2: compromise the goal of the refuge system. And that and

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Speaker 2: the Biden Biden Harris administration just announced fifty three new

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Speaker 2: hunting and fishing opportunities on approximately two hundred and eleven

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Speaker 2: thousand acres nationwide on the National Wildlife Refuge System. This

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Speaker 2: came into place we had on Martha Stewart. Martha Stewart

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Speaker 2: used to Martha Stewart watching too with some shopping. I've

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Speaker 2: been shopping for plate wear for lighters or CBD. I

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Speaker 2: means Martha Williams. Martha Williams the former head of Montana

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Speaker 2: Department of Fish, Wildlife and Parks or which we call

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Speaker 2: fishing parks for short. So Martha Williams used to run

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Speaker 2: Montana's state fishing Game Agency. She now runs the US

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Speaker 2: Fish and Wildlife Service. So under her leadership at US

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Speaker 2: Fishing Wildlife Service, we're seeing a continuation of expansions on refuges.

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Speaker 2: So if you got a refuge down the road and

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Speaker 2: it always kind of burns your ass about what you

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Speaker 2: can and can't do, you should go revisit what's going

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Speaker 2: on there.

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Speaker 8: And that's in nine states. I feel like this sort

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Speaker 8: of news sometimes just applies to like far away in Alaska,

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Speaker 8: but this is, you know, very close to home for

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Speaker 8: a lot of folks. Kentucky, Louisiana, Nebraska, North Dakota, South Carolina, Texas, Washington,

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Speaker 8: West Virginia, Wisconsin.

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Speaker 2: Good job, Spencer. You should come out to show more off.

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Speaker 8: Another thing, Steve, is he still going? There was a

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Speaker 8: note in here for you to plug media crosswords.

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Speaker 2: Do you know you didn't do it?

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Speaker 8: Okay, here's my opportunity, Steve said, Oh, and there's MEDIAA Crosswords.

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Speaker 8: What's that? Oh, no, I know what that is. And

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Speaker 8: then and then we just uh.

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Speaker 2: We'll get into it.

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Speaker 8: Okay, you want to know it looks like a new

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Speaker 8: thing when it's not a new thing. Well, Media Radio Live,

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Speaker 8: just like media Crossword Puzzles came out about a month ago.

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Speaker 8: Every Wednesday morning, we have a crossword puzzle that you

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Speaker 8: can get at the medieater dot com backslash games. There's

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Speaker 8: twenty clues. It's all specific to the med eater universe,

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Speaker 8: sort of like Media to Trivia. If you like that podcast,

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Speaker 8: you'll like the Mediata Crossword Puzzles.

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Speaker 9: Uh.

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Speaker 8: The first one we have coming out is outdoor theme,

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Speaker 8: the second one National Parks, the third one hunting. So

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Speaker 8: if you enjoy this podcast or MEDIAA Trivia, you'll like

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Speaker 8: that the Mediata Crossword Puzzles.

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Speaker 5: And we're a month in and I've been doing tremendously.

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Speaker 2: I will say, sure, Karin put a letter in here,

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Speaker 2: I mean.

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Speaker 9: Scratch it up out.

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Speaker 2: Yeah. If it wasn't his grandpa, it'd be a great story.

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Speaker 2: It goes like this, there's a guy who hunts his

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Speaker 2: grand Now it feels just as Stranger's land. I almost

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Speaker 2: want to tell it not true to make it better.

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Speaker 5: Well, it's his grandpa's neighbor.

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Speaker 2: Oh, hold on, there you.

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Speaker 10: Go, grandparents neighbor's place. I just put it in yellow.

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Speaker 2: Oh, it is a good story. Does this guy that

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Speaker 2: has to hunt permission on his grandpa's neighbor's place. Yeah,

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Speaker 2: I got confused there from minute. I read it one way,

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Speaker 2: then I read it another way. It's a guy writing

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Speaker 2: and like I was talking about, Uncle Chesty was here

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Speaker 2: and we were talking about being courteous to landowners and

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Speaker 2: having the attitude of is someone lets you hunt or

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Speaker 2: fish or trap on the land, you'd like bring him stuff.

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Speaker 2: You get some sausage made up from your deer and

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Speaker 2: bring him that, and bring him a gift card to

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Speaker 2: to Murdoch's or or you know, like do little things

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Speaker 2: like that. Go a fifty dollars gift card to Murdocks

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Speaker 2: so he can buy some whatever. I don't know, Just

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Speaker 2: do stuff like that. Show that landowner that you realize

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Speaker 2: that you know, show that landowner your appreciation, and follow

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Speaker 2: their rules. I was saying, if they tell you not

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Speaker 2: to drive past that windmill, stop short of the windmill, right,

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Speaker 2: And this guy writes in to say he's been hunting

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Speaker 2: on his grandpa, his neighbor's place. The guy gave him

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Speaker 2: two rules. No rifles, he wanted a shotgun only, and

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Speaker 2: he didn't want anyone driving four wheelers unless they were

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Speaker 2: retrieving a deer. And he said, other than just simple

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Speaker 2: acts of common courtesy. I hunted that place for years,

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Speaker 2: and I just followed those two rules, those two simple

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Speaker 2: rules I paid attention to. That guy then sells the

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Speaker 2: property and includes in it that is law, and includes

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Speaker 2: in his deal that I'll sell you this land on

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Speaker 2: the agreement that these two people can keep hunting there.

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Speaker 5: I mean, that's yeah, pretty solid, that's cool.

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Speaker 2: Yep, follow the rules.

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Speaker 9: Some good people right there on both sides.

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Speaker 2: Now, this is the most this is the most here's

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Speaker 2: the most thought provoking thing that's ever ben on this podcast.

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Speaker 2: You ready for this? This is the most thought provoking

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Speaker 2: thing I've ever ever been uttered here, m I was

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Speaker 2: just listening to episode five seventy five where you discuss

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Speaker 2: Larry the musky Man's rebuttal of your anyways, here's the

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Speaker 2: part I have heard. It said that you won't generally

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Speaker 2: grow big bucks on ground that doesn't grow good tomatoes.

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Speaker 6: Mm hmm.

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Speaker 9: That's all.

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Speaker 2: Except for try to refute that.

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Speaker 8: Okay, I think our top our top tomato producers are

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Speaker 8: California and Florida, who are not known for their big

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Speaker 8: old white.

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Speaker 2: They're not known for good tomatoes. They're known for bad

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Speaker 2: tomatoes and transport. Well, yeah, foy, it doesn't make good tomatoes.

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Speaker 2: They make tomatoes that you could throw against the wall

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Speaker 2: and not hurt.

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Speaker 4: Good tomatoes come from where I grew up.

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Speaker 2: Good tomatoes come from where I grew up.

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Speaker 5: They also come from New Jersey tomatoes, they.

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Speaker 2: Don't come from Bozeman, Montana.

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Speaker 8: Tell you that A more simple adage to this would

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Speaker 8: just be like, if it grows good corn, I think

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Speaker 8: that New Jersey got corn than five miles, you'll grow

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Speaker 8: big white tail bucks.

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Speaker 9: How about that for the why?

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Speaker 10: Because people are probably wondering why you stop short Like

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Speaker 10: by one sentence.

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Speaker 2: I was told this is because some soils lack minerals

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Speaker 2: like calcium that are required for both antler growth and

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Speaker 2: tomato development. Hmmm, I'm just gonna have be that think

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Speaker 2: that's true.

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Speaker 5: Let's I think it's more thought provoking if you leave

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Speaker 5: out his hypothesis there.

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Speaker 2: Like not get into it. Yeah, let the listeners. That's

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Speaker 2: why I didn't do it.

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Speaker 8: I think maybe you should think about it the other

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Speaker 8: way that if there's a place that's known for big

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Speaker 8: white tail bucks that will grow really good tomatoes, that's first, yes, first, yeah,

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Speaker 8: that's like I think my best turkey hunting spots I've

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Speaker 8: ever found in my life were also had a lot

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Speaker 8: of bobcats, So you wouldn't be like, well, the best

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Speaker 8: place like, uh you find bobcats turkey?

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Speaker 4: Yeah?

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Speaker 2: Yeah, when you're scouting for turkeys, you actually just go

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Speaker 2: out and look for bobcats, that's right, or some bobcat

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Speaker 2: tracks at a cross and sit there and.

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Speaker 8: Call looking for good white tail bucks. You go plant

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Speaker 8: some tomatoes.

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Speaker 2: See how they do. So then you gotta get permission

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Speaker 2: and be like, hey, can I get permission hunt? And

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Speaker 2: they're like oh yeah, sure, Like well, listen, I'm gonna

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Speaker 2: be over in May and you'll notice me out could

437
00:22:00,040 --> 00:22:04,359
Speaker 2: bait and a little tomato. It's all part of the plant.

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Speaker 2: It's all part of the plan. I'm not gonna get

439
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Speaker 2: into more stuff about Larry the Muskie Man struck a

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Speaker 2: chord with people.

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Speaker 9: He absolutely did.

442
00:22:21,240 --> 00:22:24,040
Speaker 2: A guy wrote in taking half a Finger to task

443
00:22:24,359 --> 00:22:32,439
Speaker 2: for saying that, uh, we had colossal biosciences on and

444
00:22:32,480 --> 00:22:37,440
Speaker 2: talked about the science and ethics of cloning mammoths. Half

445
00:22:37,480 --> 00:22:40,359
Speaker 2: a Finger wrote in talking about how mamos or losers,

446
00:22:41,240 --> 00:22:44,639
Speaker 2: but he'd like to see one. This guy wrote in

447
00:22:44,880 --> 00:22:48,439
Speaker 2: being like half a Finger's got it all wrong, and

448
00:22:48,480 --> 00:22:52,720
Speaker 2: he's got a BA and an MA in anthropology. Don't

449
00:22:52,840 --> 00:22:59,440
Speaker 2: don't isn't it? Isn't it implied? Like you don't list

450
00:22:59,520 --> 00:23:00,000
Speaker 2: all your.

451
00:23:01,280 --> 00:23:04,000
Speaker 5: Yeah, unless you I mean, I think that would be

452
00:23:04,080 --> 00:23:07,679
Speaker 5: more common if you if your degrees aren't related to

453
00:23:07,680 --> 00:23:10,760
Speaker 5: one another, like if you have a if you have a.

454
00:23:11,400 --> 00:23:12,720
Speaker 9: B A in English and then an.

455
00:23:13,359 --> 00:23:16,600
Speaker 2: Yeah, Like I have an associates degree too. I'm not

456
00:23:16,640 --> 00:23:18,439
Speaker 2: gonna because I went to community college. I'm not going

457
00:23:18,480 --> 00:23:22,520
Speaker 2: to go like associates, bachelors Masters.

458
00:23:22,600 --> 00:23:26,159
Speaker 8: You should English. What was the associates in?

459
00:23:26,600 --> 00:23:27,600
Speaker 4: I don't know what they call it.

460
00:23:28,119 --> 00:23:29,720
Speaker 6: Oh, yeah, I got I got one of them too.

461
00:23:30,680 --> 00:23:32,600
Speaker 2: Yeah, you don't put down all of them. He put

462
00:23:32,640 --> 00:23:34,600
Speaker 2: down B A and M A and anthropologies get to

463
00:23:34,640 --> 00:23:37,960
Speaker 2: the end, do you know what I mean? Like when

464
00:23:38,000 --> 00:23:41,040
Speaker 2: he turned fifty, you don't list all the years you've.

465
00:23:40,880 --> 00:23:44,639
Speaker 10: Been I guess, but just trying to say that. For

466
00:23:45,119 --> 00:23:49,160
Speaker 10: two years or three years he studied at master's.

467
00:23:48,760 --> 00:23:51,480
Speaker 9: Level anthrow and then for four years.

468
00:23:51,160 --> 00:23:54,760
Speaker 5: He studied six years of fire read and in.

469
00:23:55,200 --> 00:23:56,880
Speaker 10: That single subject, I like it.

470
00:23:59,720 --> 00:24:01,080
Speaker 9: I ever sign my emails.

471
00:24:01,200 --> 00:24:03,400
Speaker 2: No, yeah, I think he should cut one of them out.

472
00:24:03,480 --> 00:24:05,359
Speaker 2: Whatever one he likes most, he should leave in and

473
00:24:05,400 --> 00:24:09,600
Speaker 2: cut that one out. Half a figures working on something.

474
00:24:09,640 --> 00:24:14,280
Speaker 2: Are you guys familiar with the ideas of the Miriam's elk? Yes,

475
00:24:14,600 --> 00:24:19,840
Speaker 2: so we have check me if I'm wrong live today

476
00:24:20,880 --> 00:24:30,200
Speaker 2: we have there's three American elk Rocky Mountain, Roosevelt, two Lee,

477
00:24:30,600 --> 00:24:34,840
Speaker 2: and the two leads are in California. And it's assumed

478
00:24:35,440 --> 00:24:45,320
Speaker 2: that the Miriams, the Miriams elk is extinct and Eastern. Yeah, oh,

479
00:24:45,400 --> 00:24:48,520
Speaker 2: because yeah, they read You're right, the Eastern is extinct.

480
00:24:49,320 --> 00:24:51,080
Speaker 2: So the ones that are in the East now are

481
00:24:51,160 --> 00:24:51,800
Speaker 2: Rocky Mountain.

482
00:24:52,040 --> 00:24:52,240
Speaker 3: Yeah.

483
00:24:54,960 --> 00:24:57,560
Speaker 6: I think there was a span of like thirty some

484
00:24:57,800 --> 00:25:02,119
Speaker 6: years between the last Eastern Pennsylvania until they got reintroduced

485
00:25:02,800 --> 00:25:06,439
Speaker 6: with Rocky Mountain. Just a little tidpit.

486
00:25:07,440 --> 00:25:14,080
Speaker 2: Heffelfinger's been running all around getting old elk skeletons and

487
00:25:14,200 --> 00:25:17,560
Speaker 2: pulling DNA from them because currently they only know about

488
00:25:17,640 --> 00:25:21,879
Speaker 2: four specimens of Miriam's elk from skeletons like places like

489
00:25:21,920 --> 00:25:26,960
Speaker 2: the Smithsonian and whatnot. Heffelfinger in two thousand and six

490
00:25:27,000 --> 00:25:28,879
Speaker 2: he found in Miriam's elk, and he found two in

491
00:25:28,880 --> 00:25:33,320
Speaker 2: New York that no one knew about. At Smithsonian. I

492
00:25:33,320 --> 00:25:40,880
Speaker 2: think he found two there. He goes on to say,

493
00:25:40,920 --> 00:25:42,800
Speaker 2: there's always been a lot of talk about whether the

494
00:25:42,920 --> 00:25:46,080
Speaker 2: Miriam's elk was really any different from those in southern

495
00:25:46,119 --> 00:25:49,119
Speaker 2: Colorado at the time. If they were different, then we

496
00:25:49,119 --> 00:25:53,080
Speaker 2: should be able to detect if any survived from the

497
00:25:53,160 --> 00:25:58,119
Speaker 2: last report in Arizona around nineteen hundred to the first

498
00:25:58,160 --> 00:26:02,440
Speaker 2: translocations from Yellowstone Nastal Park in nineteen thirteen, meaning Arizona

499
00:26:02,520 --> 00:26:06,720
Speaker 2: had Miriam's elk when they were extrapated from Arizona. It's

500
00:26:06,720 --> 00:26:10,040
Speaker 2: hard to picture elk were extirpated from Arizona and when

501
00:26:10,040 --> 00:26:13,440
Speaker 2: they brought when they reintroduced elk, as is often happens

502
00:26:14,440 --> 00:26:18,160
Speaker 2: when you have a like an endemic variety goes extinct

503
00:26:18,160 --> 00:26:20,560
Speaker 2: and then later you want to reintroduce it. You got

504
00:26:20,560 --> 00:26:25,240
Speaker 2: to pull from a new source. So Arizona had Miriam's elk,

505
00:26:25,480 --> 00:26:28,879
Speaker 2: and when they were extrapated, they were replaced by Rocky

506
00:26:28,880 --> 00:26:33,240
Speaker 2: Mountain Elk. In nineteen thirteen, Hefflefinger got ten thousand bucks

507
00:26:33,240 --> 00:26:36,960
Speaker 2: from Dallas Safari Club as part of the Conservation trail

508
00:26:37,040 --> 00:26:44,399
Speaker 2: Blazer Award, which is funding his collection of samples. He says,

509
00:26:44,640 --> 00:26:47,800
Speaker 2: I just think that, He says, I just think it's

510
00:26:47,840 --> 00:26:50,960
Speaker 2: cool as shit and had to share it. So he's

511
00:26:51,000 --> 00:26:53,840
Speaker 2: out there scourring around to find out is it true?

512
00:26:54,160 --> 00:26:56,800
Speaker 2: Was there like a different type of elk out there?

513
00:26:57,640 --> 00:27:01,320
Speaker 2: Heffelfinger also reported on something here. I don't want to

514
00:27:01,320 --> 00:27:03,680
Speaker 2: get into too much detail because it's brewing right now.

515
00:27:06,840 --> 00:27:09,720
Speaker 2: We would discuss for that. Why there's no record book Havelina.

516
00:27:12,680 --> 00:27:16,440
Speaker 2: You can't shoot a record book Calina, like Boone and

517
00:27:16,480 --> 00:27:20,040
Speaker 2: Crockett doesn't have a category, and Pope and Young doesn't

518
00:27:20,080 --> 00:27:22,639
Speaker 2: have a category, mostly because Boone and Crockett won't accept it.

519
00:27:23,080 --> 00:27:25,520
Speaker 2: Half a Finger put together this guy, like why does

520
00:27:25,560 --> 00:27:31,440
Speaker 2: this dude sleep? Half a finger puts together a big

521
00:27:31,480 --> 00:27:35,760
Speaker 2: proposal which he then takes to like the board or

522
00:27:35,760 --> 00:27:41,879
Speaker 2: whatever at Boone and Crockett, laying out his case, you know,

523
00:27:42,160 --> 00:27:47,840
Speaker 2: like laying out a presentation about why there, why they

524
00:27:47,880 --> 00:27:50,080
Speaker 2: should be, why there should be you should be able

525
00:27:50,119 --> 00:27:53,159
Speaker 2: to shoot a Boon and Crocket packery or you know

526
00:27:53,480 --> 00:27:57,520
Speaker 2: collared peckery have alena and and steps are being taken.

527
00:27:57,720 --> 00:28:02,000
Speaker 2: It's not done yet, but he is soliciting them to

528
00:28:02,240 --> 00:28:06,359
Speaker 2: create a Heaveleena category in the Boone and Crocket record club.

529
00:28:08,400 --> 00:28:10,480
Speaker 4: I have one that I.

530
00:28:10,440 --> 00:28:15,080
Speaker 2: Feel will be in there because who does have it?

531
00:28:15,280 --> 00:28:15,399
Speaker 7: S C?

532
00:28:15,560 --> 00:28:18,919
Speaker 8: I probably them, and I don't know.

533
00:28:19,200 --> 00:28:23,200
Speaker 4: Yeah, was there a reason why they're never there? Hadn't been.

534
00:28:23,640 --> 00:28:26,480
Speaker 2: They're just not regarded that they haven't traditionally been regarded

535
00:28:26,480 --> 00:28:29,680
Speaker 2: as a big game animal. They're not a small game.

536
00:28:30,000 --> 00:28:31,960
Speaker 8: Yeah, you're like bridging a gap to it feels like

537
00:28:32,040 --> 00:28:34,760
Speaker 8: coyotes and fox start doing.

538
00:28:36,080 --> 00:28:40,080
Speaker 2: You gotta draw tag, You draw tag. Okay, now you

539
00:28:40,120 --> 00:28:42,480
Speaker 2: got draw tag for cranes. In some places there should

540
00:28:42,520 --> 00:28:45,320
Speaker 2: be a Boone and Crocket crane. You talk me into it.

541
00:28:46,720 --> 00:28:47,600
Speaker 2: What are you gonna measure?

542
00:28:47,760 --> 00:28:50,520
Speaker 8: It's beak wingspan. I suppose that.

543
00:28:51,720 --> 00:28:58,560
Speaker 2: Because that doesn't last. It's gotta be bone. Okay, I

544
00:28:58,600 --> 00:28:59,120
Speaker 2: got a record.

545
00:28:59,160 --> 00:29:04,440
Speaker 8: But there's there's one more subspecies of elk that some

546
00:29:05,200 --> 00:29:08,800
Speaker 8: people recognize, including like the Minnesota Department of Natural Resources.

547
00:29:08,840 --> 00:29:10,160
Speaker 2: Tell me, I tell you if I agree.

548
00:29:10,800 --> 00:29:14,880
Speaker 8: The Manitobin Elk, which is like Upper Great Plains and

549
00:29:15,000 --> 00:29:18,320
Speaker 8: uh Southern Canada, and they say that one is still around.

550
00:29:18,520 --> 00:29:19,959
Speaker 4: I don't know if I disagree with that or not.

551
00:29:20,200 --> 00:29:22,320
Speaker 8: You could have dealer's choice and if you you want

552
00:29:22,320 --> 00:29:24,560
Speaker 8: to recognize that one or not, you.

553
00:29:24,440 --> 00:29:26,640
Speaker 2: Got any tattoos, you're gonna submit to our tattoos.

554
00:29:26,640 --> 00:29:28,920
Speaker 8: I regret I was thinking about. I think my only

555
00:29:29,000 --> 00:29:32,120
Speaker 8: regrets are like maybe making some bigger, Like I got

556
00:29:32,160 --> 00:29:34,080
Speaker 8: the dead Man's hand here and that was my second

557
00:29:34,120 --> 00:29:35,720
Speaker 8: ever tattoo. I wish I'd have gone bigger.

558
00:29:35,960 --> 00:29:38,360
Speaker 2: Yeah, because when you get old wrinkly, that's gonna come.

559
00:29:38,400 --> 00:29:39,640
Speaker 2: You're not gonna be tell what's going on.

560
00:29:39,840 --> 00:29:40,040
Speaker 4: Yeah.

561
00:29:40,160 --> 00:29:41,760
Speaker 2: So no, none that I regret.

562
00:29:41,840 --> 00:29:45,160
Speaker 4: Yet it is a form of regret you were talking about.

563
00:29:46,840 --> 00:29:47,520
Speaker 4: Is that batman?

564
00:29:47,640 --> 00:29:49,680
Speaker 2: What was that? Like a heavy metal symbol?

565
00:29:49,320 --> 00:29:52,360
Speaker 4: When I was working undercover.

566
00:29:52,000 --> 00:29:57,680
Speaker 2: I got you got that, say the Batman in the middle.

567
00:29:59,080 --> 00:30:02,480
Speaker 2: That's yeah. Yeah. I used to work with a guy

568
00:30:02,560 --> 00:30:04,960
Speaker 2: that liked Bacardi so much. You got the Boccardi bat

569
00:30:04,960 --> 00:30:06,520
Speaker 2: tattooed on him.

570
00:30:07,000 --> 00:30:09,160
Speaker 8: I have the hands bear tattooed on me.

571
00:30:09,240 --> 00:30:12,000
Speaker 2: He said to me, you know, when you're drinking Bocardi's

572
00:30:12,040 --> 00:30:14,600
Speaker 2: so fast and you get the red splotches all over

573
00:30:14,640 --> 00:30:15,000
Speaker 2: your neck.

574
00:30:18,320 --> 00:30:19,400
Speaker 8: Did you say yes or no?

575
00:30:21,520 --> 00:30:29,880
Speaker 2: I was like, why no? Tell me more. We were

576
00:30:29,920 --> 00:30:34,200
Speaker 2: actually having a Bocardi yet the time, with this little

577
00:30:34,240 --> 00:30:39,480
Speaker 2: known beverage called coke Coca Cola. All right, guy, you

578
00:30:39,520 --> 00:30:40,560
Speaker 2: ready you got any tattoos?

579
00:30:40,600 --> 00:30:41,800
Speaker 3: I don't have any tattoos.

580
00:30:41,960 --> 00:30:43,120
Speaker 2: You do you regret it?

581
00:30:43,840 --> 00:30:46,560
Speaker 3: No, I don't regret it at all. That's kind of funny.

582
00:30:46,560 --> 00:30:48,880
Speaker 3: I hang out in Madison, you know, and it's just

583
00:30:48,920 --> 00:30:51,480
Speaker 3: like the men there aren't tough enough to have tattoos.

584
00:30:51,840 --> 00:30:55,080
Speaker 3: I don't know how that'll play here, but I got

585
00:30:55,080 --> 00:30:56,840
Speaker 3: to Bozeman yesterday and I noticed that.

586
00:30:56,760 --> 00:30:59,160
Speaker 2: You know, all the men have, you know, heavily tattoos

587
00:30:59,200 --> 00:31:01,400
Speaker 2: or heavily tattoos in you know, in mathsine they're not.

588
00:31:01,720 --> 00:31:01,800
Speaker 7: So.

589
00:31:01,920 --> 00:31:04,760
Speaker 2: Yeah, I'm really curious. Like when you if in the future,

590
00:31:05,160 --> 00:31:09,920
Speaker 2: if people will remember this as an era of tattoos, Yeah,

591
00:31:10,120 --> 00:31:13,160
Speaker 2: I would say so, like when our little kids are

592
00:31:13,200 --> 00:31:17,960
Speaker 2: doing Halloween, Like when my kids are in they're in

593
00:31:18,520 --> 00:31:21,600
Speaker 2: the colle in college and they're goofing on the twenty

594
00:31:21,760 --> 00:31:25,040
Speaker 2: twenties like now, like they might dress like we're dressing

595
00:31:25,080 --> 00:31:27,880
Speaker 2: like the eighties. We're dressing like the seventies. We're dressing

596
00:31:27,920 --> 00:31:30,959
Speaker 2: like the sixties. When they're dressing like the twenty twenties,

597
00:31:31,000 --> 00:31:32,600
Speaker 2: will they put a bunch of fake tattoos on?

598
00:31:33,400 --> 00:31:35,920
Speaker 3: Yeah, I'd say so, yeah, especially if they live out here.

599
00:31:37,320 --> 00:31:42,560
Speaker 2: And people be like, oh, the twenty twenties, I don't know. Uh, Okay,

600
00:31:42,760 --> 00:31:48,800
Speaker 2: tell me what happened with uh? Why didn't tell how

601
00:31:49,240 --> 00:31:52,959
Speaker 2: mink made international news during the COVID pandemic.

602
00:31:53,040 --> 00:31:57,960
Speaker 3: Okay, So in early to twenty twenty during the pandemic,

603
00:31:58,560 --> 00:32:01,880
Speaker 3: I remember it very specific, and I was I actually

604
00:32:01,960 --> 00:32:03,600
Speaker 3: had to go to a wool conference cause I'm also

605
00:32:03,640 --> 00:32:06,160
Speaker 3: in the wool business. I was in Scottsdale for the

606
00:32:06,160 --> 00:32:09,520
Speaker 3: wool conference and I had this great time, and I

607
00:32:09,560 --> 00:32:11,560
Speaker 3: flew back into a hair on a Saturday night. I

608
00:32:11,600 --> 00:32:13,840
Speaker 3: had a hotel room with my wife and we were

609
00:32:13,840 --> 00:32:16,080
Speaker 3: going to go to a play the next morning with

610
00:32:16,200 --> 00:32:16,680
Speaker 3: some friends.

611
00:32:16,680 --> 00:32:18,680
Speaker 2: But you had to interrupt the play to buy wool.

612
00:32:18,640 --> 00:32:21,560
Speaker 3: And so she picked me up. We had this great dinner,

613
00:32:21,840 --> 00:32:24,680
Speaker 3: and I communicate with my customers in China on we Chat,

614
00:32:25,200 --> 00:32:27,760
Speaker 3: and typically you know every day that I get one

615
00:32:27,840 --> 00:32:29,520
Speaker 3: or two messages when I wake up in the morning.

616
00:32:29,760 --> 00:32:32,840
Speaker 3: You know, almost never on a Sunday, and you know,

617
00:32:33,200 --> 00:32:35,520
Speaker 3: seldom on a Saturday. And so I woke up on

618
00:32:35,640 --> 00:32:39,120
Speaker 3: Sunday morning and I remember the Hampton Inn that I

619
00:32:39,200 --> 00:32:41,920
Speaker 3: was in, you know, downtown Chicago. And I woke up

620
00:32:42,000 --> 00:32:44,080
Speaker 3: and I looked at my phone. I had thirteen messages

621
00:32:44,400 --> 00:32:47,480
Speaker 3: from my customers in China, and it was pictures of

622
00:32:47,520 --> 00:32:50,440
Speaker 3: them going trying to get back into Beijing after the

623
00:32:50,520 --> 00:32:53,040
Speaker 3: Chinese New Year or whatever it was, and you know,

624
00:32:53,280 --> 00:32:56,600
Speaker 3: just miles of cars because they were checking everybody's temperature

625
00:32:56,600 --> 00:32:59,520
Speaker 3: on the way back, and other customers calling me up saying,

626
00:33:00,000 --> 00:33:02,480
Speaker 3: we are so screwed that we are you know, they

627
00:33:02,480 --> 00:33:05,400
Speaker 3: are shutting this whole thing down. And at the very

628
00:33:05,520 --> 00:33:10,080
Speaker 3: beginning of COVID, a like days after I would say

629
00:33:10,200 --> 00:33:13,280
Speaker 3: days after this happened. Okay, not days after the outbreak

630
00:33:13,320 --> 00:33:17,280
Speaker 3: early January, but in early February, a professor in China

631
00:33:17,360 --> 00:33:20,400
Speaker 3: came out and said that it's it's mink that's causing this,

632
00:33:21,240 --> 00:33:24,080
Speaker 3: and so right away, even though the guy had no

633
00:33:24,160 --> 00:33:26,440
Speaker 3: reason to say it, it was totally false. It was

634
00:33:26,480 --> 00:33:31,600
Speaker 3: since proven false, but he met causing he was kitting kaboodle.

635
00:33:31,680 --> 00:33:32,160
Speaker 2: You ever heard that?

636
00:33:33,400 --> 00:33:38,880
Speaker 3: Yeah, she just heard it this morning but anyway, uh, yeah,

637
00:33:38,880 --> 00:33:41,479
Speaker 3: it was it. It came out that and then they

638
00:33:41,520 --> 00:33:43,520
Speaker 3: were like telling me, you know, hey, they're they're blaming

639
00:33:43,520 --> 00:33:47,000
Speaker 3: our industry, you know. And immediately the Chinese government you know,

640
00:33:47,120 --> 00:33:49,920
Speaker 3: said no raw skins in to the country, and we were,

641
00:33:49,960 --> 00:33:51,640
Speaker 3: you know, we were shipping a lot of stuff at

642
00:33:51,640 --> 00:33:53,800
Speaker 3: the time. It makes a skin raw if it's not

643
00:33:53,920 --> 00:33:56,200
Speaker 3: tan it's just just dried where you know, where you

644
00:33:56,520 --> 00:33:58,479
Speaker 3: ship it, where you can ship it. You know, it's

645
00:33:58,560 --> 00:34:00,640
Speaker 3: it's not going to putrefy you know, while it's being

646
00:34:00,680 --> 00:34:03,520
Speaker 3: ship because it's dried, but it's not tanned where it

647
00:34:03,560 --> 00:34:05,840
Speaker 3: has any long term you know, viability. But you know,

648
00:34:05,880 --> 00:34:07,280
Speaker 3: most a lot of the tanning was done.

649
00:34:07,160 --> 00:34:09,560
Speaker 2: In China said no raw mink.

650
00:34:09,800 --> 00:34:12,919
Speaker 3: They said no raw anything. You couldn't import anything raw,

651
00:34:13,080 --> 00:34:14,800
Speaker 3: but just over overnight.

652
00:34:14,920 --> 00:34:16,719
Speaker 2: Kind of a little late for that because i mean

653
00:34:16,880 --> 00:34:19,400
Speaker 2: they the pandemic is coming up China.

654
00:34:19,520 --> 00:34:22,480
Speaker 3: Yeah, but they were afraid that something would be you know,

655
00:34:22,640 --> 00:34:25,719
Speaker 3: contaminated because they they literally held the disease out for

656
00:34:25,760 --> 00:34:28,160
Speaker 3: two years out of their country. Besides my you know,

657
00:34:28,239 --> 00:34:31,239
Speaker 3: kind of minor outbreaks, so they they just ended it.

658
00:34:31,320 --> 00:34:35,000
Speaker 3: So you know, everybody thought it was kind of over

659
00:34:35,600 --> 00:34:39,800
Speaker 3: and we were dressing some stuff in Cambodia already because

660
00:34:39,800 --> 00:34:42,799
Speaker 3: they have a free trade agreement. So it actually sort

661
00:34:42,800 --> 00:34:47,759
Speaker 3: of benefited us in some ways because you know, we

662
00:34:48,000 --> 00:34:50,399
Speaker 3: were already you know, shipping stuff to Cambodia, and then

663
00:34:50,440 --> 00:34:52,239
Speaker 3: we that's the route. We still go that way. You

664
00:34:52,239 --> 00:34:56,120
Speaker 3: still can't import raw skins into China. It's it's impossible.

665
00:34:56,320 --> 00:34:58,400
Speaker 3: But yeah, my uh, I ended up going to the

666
00:34:58,440 --> 00:35:00,600
Speaker 3: music all that day, and it was, you know, my

667
00:35:00,640 --> 00:35:05,680
Speaker 3: stomach was just you know, I couldn't hardly take it. It was, uh, gosh,

668
00:35:05,719 --> 00:35:08,600
Speaker 3: maybe mean girls, I don't know, but it was. I

669
00:35:08,840 --> 00:35:10,880
Speaker 3: don't really remember it. It was it was it was

670
00:35:10,880 --> 00:35:11,839
Speaker 3: a rough, rough day.

671
00:35:11,920 --> 00:35:14,520
Speaker 8: I mean I went to me girls. It wasn't that good, right,

672
00:35:14,760 --> 00:35:15,960
Speaker 8: So yeah, makes sense.

673
00:35:16,520 --> 00:35:18,319
Speaker 3: I remember going for a ride. We got up at like,

674
00:35:18,400 --> 00:35:19,880
Speaker 3: you know, five in the morning and went for a

675
00:35:19,960 --> 00:35:22,080
Speaker 3: ride around you know, Chicago, and there was nobody there.

676
00:35:22,200 --> 00:35:24,319
Speaker 3: Me telling my wife, you know, hey, you know, things

677
00:35:24,320 --> 00:35:26,839
Speaker 3: are gonna have to change, you know, And my son

678
00:35:26,880 --> 00:35:29,440
Speaker 3: still remembers me calling him up at college and saying, Christian,

679
00:35:29,480 --> 00:35:31,160
Speaker 3: you know, you can't you know, go out to eat

680
00:35:31,160 --> 00:35:33,640
Speaker 3: any more of it. You know, it's really gonna get bad.

681
00:35:33,680 --> 00:35:37,440
Speaker 2: Here, well, walk me into how they killed millions of Okays.

682
00:35:37,480 --> 00:35:40,560
Speaker 3: So so that so right away it got linked to mink,

683
00:35:40,640 --> 00:35:44,880
Speaker 3: and then that sort of died off. Okay, but you know,

684
00:35:44,920 --> 00:35:49,400
Speaker 3: and there's and there's the the largest uh producer of

685
00:35:49,480 --> 00:35:51,920
Speaker 3: mink outside of China, you know, was Denmark.

686
00:35:52,080 --> 00:35:54,360
Speaker 2: Okay, can you can you be another favorite and clarify

687
00:35:54,400 --> 00:35:55,560
Speaker 2: there's wild mink and rant.

688
00:35:55,480 --> 00:35:57,919
Speaker 3: There's there's wild mink. I mean, percentage wise of what's

689
00:35:57,920 --> 00:36:00,440
Speaker 3: produced in the world, wild mink is you know, probably

690
00:36:00,520 --> 00:36:04,040
Speaker 3: under ten thousand at this point. And at one point

691
00:36:04,080 --> 00:36:08,000
Speaker 3: there was definitely over one hundred million mink produced commercially.

692
00:36:09,200 --> 00:36:11,319
Speaker 3: Maybe there was even one hundred and sixty million there

693
00:36:11,360 --> 00:36:14,799
Speaker 3: was there was definitely over one hundred million. Though if

694
00:36:14,800 --> 00:36:16,560
Speaker 3: you take what was produced in China and what was

695
00:36:16,560 --> 00:36:21,600
Speaker 3: produced outside of China. So you know, Copenhagen sold thirty

696
00:36:21,640 --> 00:36:23,480
Speaker 3: million mink a year on their sale they produced in

697
00:36:23,520 --> 00:36:25,800
Speaker 3: their country, you know, I don't know, maybe fifteen to

698
00:36:25,840 --> 00:36:28,080
Speaker 3: twenty million. You know, they got mink from Poland and

699
00:36:28,120 --> 00:36:33,200
Speaker 3: wherever else. But anyway, some of the mink were susceptible

700
00:36:33,239 --> 00:36:38,080
Speaker 3: to getting the disease. Okay, So early on the Danish

701
00:36:38,120 --> 00:36:41,279
Speaker 3: government said, you know, we you know, some of these

702
00:36:41,320 --> 00:36:44,160
Speaker 3: farms are infected and we want you to kill everything.

703
00:36:44,239 --> 00:36:47,560
Speaker 3: Some people think that it was completely politically motivated, that

704
00:36:47,560 --> 00:36:50,080
Speaker 3: they just wanted the end the production of mink in

705
00:36:50,920 --> 00:36:55,239
Speaker 3: in Denmark and it was just the government didn't like it.

706
00:36:55,560 --> 00:36:57,279
Speaker 3: And it was a huge industry for him. I mean,

707
00:36:57,320 --> 00:36:59,160
Speaker 3: they sold thirty million mink, you know at the peak,

708
00:36:59,239 --> 00:37:02,640
Speaker 3: thirty million times, you know, probably getting very close to

709
00:37:02,680 --> 00:37:05,200
Speaker 3: one hundred dollars apiece that you know, they they exported

710
00:37:05,239 --> 00:37:07,520
Speaker 3: out of out of Copenhagen. You know, it was definitely

711
00:37:07,560 --> 00:37:10,960
Speaker 3: the biggest exchange in the world for mink. They had

712
00:37:10,960 --> 00:37:13,200
Speaker 3: their last sale just two months ago and they had

713
00:37:13,200 --> 00:37:14,719
Speaker 3: a huge party. It was you know, a lot of

714
00:37:14,719 --> 00:37:17,160
Speaker 3: people from the fur industry went because it was the

715
00:37:17,239 --> 00:37:20,040
Speaker 3: last hurrah. You know, Copenhagen was the center of the

716
00:37:20,080 --> 00:37:23,279
Speaker 3: fur business for the last thirty years or so, and

717
00:37:23,400 --> 00:37:26,759
Speaker 3: you know, now they were still selling mink from you know,

718
00:37:26,800 --> 00:37:28,920
Speaker 3: they had they had had a lot of mink stored

719
00:37:29,080 --> 00:37:31,440
Speaker 3: when this happened, because the market was already in the

720
00:37:31,480 --> 00:37:33,719
Speaker 3: downturn before this happened. So there was a lot of

721
00:37:33,719 --> 00:37:36,239
Speaker 3: people that had bought mink at Copenhagen and Copenhagen hadn't

722
00:37:36,280 --> 00:37:38,360
Speaker 3: sold some of the mink, and so there was you know,

723
00:37:38,480 --> 00:37:41,239
Speaker 3: millions of mink in storage at this time. And the

724
00:37:41,320 --> 00:37:43,319
Speaker 3: mink that they killed, you know, they they didn't keep

725
00:37:43,320 --> 00:37:46,160
Speaker 3: those mink they killed. They destroyed them, They burned them, buried.

726
00:37:46,000 --> 00:37:47,880
Speaker 2: Them, whatever. And it didn't pelt them.

727
00:37:48,000 --> 00:37:48,920
Speaker 3: They didn't pelt them out.

728
00:37:49,719 --> 00:37:50,520
Speaker 2: Some bum information.

729
00:37:50,640 --> 00:37:50,680
Speaker 7: No.

730
00:37:51,160 --> 00:37:53,240
Speaker 3: But there's the reason you probably heard that is because

731
00:37:53,280 --> 00:37:55,160
Speaker 3: they said, people, are you know that Copenhagen was still

732
00:37:55,160 --> 00:37:57,520
Speaker 3: selling mink up until two months ago they had their

733
00:37:57,560 --> 00:38:00,000
Speaker 3: last sale and the reason for that was is the market,

734
00:38:00,120 --> 00:38:02,279
Speaker 3: you know, was poor and they they had a lot

735
00:38:02,320 --> 00:38:05,200
Speaker 3: in stock. So they ended up killing off, you know,

736
00:38:05,320 --> 00:38:08,880
Speaker 3: every mink in the in the country and uh, you know,

737
00:38:09,400 --> 00:38:11,279
Speaker 3: and there was people that you know, they got got

738
00:38:11,840 --> 00:38:15,480
Speaker 3: COVID here in their mink as well. You know, are

739
00:38:15,480 --> 00:38:19,080
Speaker 3: they rebuilding, No, they're they're not rebuilding. The ranchers got

740
00:38:19,080 --> 00:38:21,520
Speaker 3: a settlement. They haven't paid out all the settlement yet.

741
00:38:21,560 --> 00:38:24,160
Speaker 3: It was a it was really a fantastic settlement for

742
00:38:24,200 --> 00:38:26,760
Speaker 3: the for the ranchers. If they get it all paid

743
00:38:26,840 --> 00:38:28,640
Speaker 3: I don't know they've paid out some of it. But

744
00:38:28,680 --> 00:38:30,640
Speaker 3: there's a lot of controversy because it was you know,

745
00:38:30,880 --> 00:38:33,000
Speaker 3: the numbers were staggering of what they got because they

746
00:38:33,000 --> 00:38:35,359
Speaker 3: were paid to you know, never produce again, and so

747
00:38:35,440 --> 00:38:37,239
Speaker 3: they didn't just get the value of those mink, they

748
00:38:37,239 --> 00:38:40,760
Speaker 3: got the value of those mink plus. So it really

749
00:38:41,239 --> 00:38:45,800
Speaker 3: decimated the fur business. It really decimated the ranch for

750
00:38:45,840 --> 00:38:48,680
Speaker 3: a business, which you know is difficult on the trade

751
00:38:48,719 --> 00:38:51,959
Speaker 3: because you know, like the money for marketing and sort

752
00:38:51,960 --> 00:38:55,000
Speaker 3: of promoting for you know, the biggest entity we had,

753
00:38:55,080 --> 00:38:57,200
Speaker 3: you know, was Coconhating because they handled so many skins

754
00:38:57,200 --> 00:38:59,680
Speaker 3: with so many dollars that you know, if they did

755
00:38:59,680 --> 00:39:02,359
Speaker 3: a one percent levy to promote fur around the world

756
00:39:02,400 --> 00:39:04,480
Speaker 3: that you know, it meant something. You know, they could

757
00:39:04,480 --> 00:39:07,200
Speaker 3: actually do something. So it was a it was a

758
00:39:07,239 --> 00:39:09,439
Speaker 3: tough loss for the fur industry. So you know, now

759
00:39:09,480 --> 00:39:13,319
Speaker 3: we're really left with you know, Saga in Finland as

760
00:39:13,400 --> 00:39:16,920
Speaker 3: the only major you know seller of mink. There is

761
00:39:17,000 --> 00:39:20,120
Speaker 3: a small auction you know, in American American Mink Exchange.

762
00:39:20,960 --> 00:39:23,279
Speaker 3: They still collect some of the American mink, but you

763
00:39:23,320 --> 00:39:26,080
Speaker 3: know it's much smaller than Saga. But yeah, it's uh,

764
00:39:26,160 --> 00:39:32,279
Speaker 3: we went from having you know NAFA Seattle for exchange, uh, Saga,

765
00:39:32,520 --> 00:39:36,759
Speaker 3: Copenhagen and uh, you know down to basically you know,

766
00:39:36,920 --> 00:39:39,399
Speaker 3: just Saga now. But yeah, that was a major hit,

767
00:39:39,440 --> 00:39:41,640
Speaker 3: and it was because of really because of COVID, but

768
00:39:42,040 --> 00:39:44,080
Speaker 3: you know, really maybe not because of COVID. Maybe they

769
00:39:44,239 --> 00:39:45,879
Speaker 3: the government just wanted it to be done.

770
00:39:46,320 --> 00:39:51,319
Speaker 2: Will that eventually cause uh, with the with all that

771
00:39:51,360 --> 00:39:55,760
Speaker 2: production taken off, well that eventually trickled down to wild

772
00:39:55,960 --> 00:39:59,600
Speaker 2: caught stuff well gaining value because it's not competing against

773
00:39:59,680 --> 00:39:59,960
Speaker 2: all that.

774
00:40:00,160 --> 00:40:03,319
Speaker 3: Well, we hope. So so last year, I don't have

775
00:40:03,400 --> 00:40:06,200
Speaker 3: exact numbers, but let's just say the auction sold around

776
00:40:06,239 --> 00:40:10,000
Speaker 3: fifteen sixteen million skins and there was still only around

777
00:40:10,080 --> 00:40:13,600
Speaker 3: seven produced seven million, and yet they sold that many,

778
00:40:13,640 --> 00:40:15,719
Speaker 3: so that many skins are going to be used to

779
00:40:15,760 --> 00:40:17,880
Speaker 3: make coats and you know this this season, you know

780
00:40:18,000 --> 00:40:20,719
Speaker 3: they'll be pelting here in a couple months and a

781
00:40:20,719 --> 00:40:23,799
Speaker 3: couple three months, and you know the production in the

782
00:40:23,800 --> 00:40:26,520
Speaker 3: West will be you know six seven million. Well, you're

783
00:40:26,520 --> 00:40:29,800
Speaker 3: not going to have Copenhagen selling you know, ten million

784
00:40:29,880 --> 00:40:32,920
Speaker 3: old skins this year. You're not going to have even Saga.

785
00:40:32,920 --> 00:40:34,719
Speaker 3: They're not going to have skins that are left over either.

786
00:40:34,760 --> 00:40:36,960
Speaker 3: You're going to have closer to you know, eight or

787
00:40:37,040 --> 00:40:40,279
Speaker 3: ten or so million makes killed or you know, sold

788
00:40:40,320 --> 00:40:42,880
Speaker 3: at auction this year. So you know, what was fifteen

789
00:40:42,920 --> 00:40:45,279
Speaker 3: million or seventeen million last year will be you know,

790
00:40:45,400 --> 00:40:48,479
Speaker 3: nine or ten million this year. So definitely there will

791
00:40:48,520 --> 00:40:51,799
Speaker 3: not be you know, as many as many skins available

792
00:40:52,080 --> 00:40:54,839
Speaker 3: as what was demanded at the price of last year.

793
00:40:54,880 --> 00:40:56,640
Speaker 3: And I think that's the important thing to look at,

794
00:40:57,040 --> 00:41:00,640
Speaker 3: is you know, at last year's price, yes, which was

795
00:41:00,680 --> 00:41:03,560
Speaker 3: a you know, a price that was rising but still

796
00:41:03,640 --> 00:41:06,680
Speaker 3: not crazy high. There was a demand for fifteen, sixteen,

797
00:41:06,760 --> 00:41:10,480
Speaker 3: seventeen million mink. And this year, if there's only going

798
00:41:10,560 --> 00:41:12,640
Speaker 3: to be you know, say seven or eight million mink,

799
00:41:12,719 --> 00:41:14,719
Speaker 3: does that price have to go up because that mini

800
00:41:14,800 --> 00:41:17,239
Speaker 3: mink was demanded, well, that many mink was demanded at

801
00:41:17,239 --> 00:41:19,560
Speaker 3: a much lower price. You know, if we if we

802
00:41:19,600 --> 00:41:22,319
Speaker 3: want to go and double the price, you know, will

803
00:41:22,360 --> 00:41:26,000
Speaker 3: there be you know, will will they will the consumer

804
00:41:26,080 --> 00:41:29,040
Speaker 3: still buy buy the coat in China or in Russia

805
00:41:29,200 --> 00:41:32,319
Speaker 3: or wherever. And you know, you know, certainly nobody knows

806
00:41:32,360 --> 00:41:35,080
Speaker 3: that answer. I mean, you know, i'd say in the

807
00:41:35,160 --> 00:41:37,799
Speaker 3: United States, you know, we raised the prices of a

808
00:41:37,800 --> 00:41:39,360
Speaker 3: lot of things. I mean, the price of a hotel

809
00:41:39,440 --> 00:41:41,439
Speaker 3: room here in this town. You know, from five years

810
00:41:41,480 --> 00:41:44,839
Speaker 3: ago is much much higher, maybe three times higher. And

811
00:41:44,880 --> 00:41:48,080
Speaker 3: you know, I still got one. But we don't know

812
00:41:48,120 --> 00:41:50,360
Speaker 3: what the Chinese consumer is going to do and you know,

813
00:41:50,440 --> 00:41:52,240
Speaker 3: the or the worldwide consumer.

814
00:41:51,840 --> 00:41:54,200
Speaker 2: Of you know, ranch mik is going to do.

815
00:41:54,280 --> 00:41:56,520
Speaker 3: But certainly if the price you would think if maybe

816
00:41:56,520 --> 00:41:58,680
Speaker 3: it could double, it's not really that high right now,

817
00:41:58,880 --> 00:42:01,480
Speaker 3: it would certainly have a huge impact. Just just the

818
00:42:01,640 --> 00:42:04,680
Speaker 3: what the amount it's risen in the past twelve months

819
00:42:04,680 --> 00:42:07,239
Speaker 3: has has certainly helped our industry. You know, we were

820
00:42:07,239 --> 00:42:11,560
Speaker 3: at certainly historical lows and we've come off those historical lows,

821
00:42:11,600 --> 00:42:13,280
Speaker 3: and yeah, it's it's certainly helped.

822
00:42:13,480 --> 00:42:16,600
Speaker 2: So what people in the world buy for codes.

823
00:42:17,920 --> 00:42:22,080
Speaker 3: I would say, you know, Chinese are obviously big consumers.

824
00:42:22,560 --> 00:42:25,720
Speaker 3: They manufacture and they actually consume at the retail level.

825
00:42:26,640 --> 00:42:29,480
Speaker 3: You know, Russia is still a big, you know player.

826
00:42:30,360 --> 00:42:32,200
Speaker 3: They don't have the money they had, you know, five

827
00:42:32,280 --> 00:42:35,000
Speaker 3: years ago, of course because of the war, but they're

828
00:42:35,040 --> 00:42:38,520
Speaker 3: still you know, they still fur as in their culture.

829
00:42:39,520 --> 00:42:42,480
Speaker 2: Is there any kind of animal rights anti fur movement

830
00:42:42,520 --> 00:42:42,960
Speaker 2: in China?

831
00:42:43,200 --> 00:42:46,000
Speaker 3: Yeah, sure, there is, sure, Yeah, yeah, absolutely. Some of

832
00:42:46,040 --> 00:42:49,920
Speaker 3: the especially like you know, some of the movie stars

833
00:42:49,920 --> 00:42:53,040
Speaker 3: are against it. In China, and they you know, they

834
00:42:53,120 --> 00:42:55,600
Speaker 3: won't do some of the ads for the people selling online.

835
00:42:55,680 --> 00:43:00,279
Speaker 3: The first Yeah, yeah, sure there is. Yeah.

836
00:43:00,680 --> 00:43:03,200
Speaker 2: Can you tell the story of We've talked about this

837
00:43:03,239 --> 00:43:06,880
Speaker 2: a bunch of times. Is the company Canada Goose was

838
00:43:06,920 --> 00:43:12,600
Speaker 2: selling parkas with Kyle Trim and they quit. Now they

839
00:43:12,640 --> 00:43:14,520
Speaker 2: have made it a big announcement from now i'm're only

840
00:43:14,640 --> 00:43:18,799
Speaker 2: using recycled fur. I took that to be I took

841
00:43:18,840 --> 00:43:26,319
Speaker 2: that to be that they were bowing to pressure from

842
00:43:26,360 --> 00:43:30,080
Speaker 2: anti fur people, or they were looking at how are

843
00:43:30,120 --> 00:43:34,799
Speaker 2: we going to achieve growth while courting the controversy of fur,

844
00:43:35,520 --> 00:43:39,080
Speaker 2: and decided that a good move into the future would

845
00:43:39,120 --> 00:43:44,239
Speaker 2: be to eliminate that potential pr hazard of using fur.

846
00:43:44,800 --> 00:43:47,240
Speaker 2: Like there's a big hunting apparel company in this town

847
00:43:47,280 --> 00:43:49,880
Speaker 2: and they're like moving away from showing dead animals and

848
00:43:49,920 --> 00:43:55,239
Speaker 2: firearms because they're like afraid about a future in which

849
00:43:55,239 --> 00:43:57,000
Speaker 2: they're associated with those things.

850
00:43:57,400 --> 00:43:58,480
Speaker 4: And I thought that.

851
00:44:00,200 --> 00:44:03,040
Speaker 2: I thought that that would be why they were doing that.

852
00:44:03,160 --> 00:44:04,680
Speaker 2: Do you feel that that's true or not true?

853
00:44:04,760 --> 00:44:08,239
Speaker 3: Okay? I certainly cannot speak for them, Okay, but I

854
00:44:08,280 --> 00:44:10,520
Speaker 3: have my own idea to take a stab I have.

855
00:44:10,719 --> 00:44:13,680
Speaker 3: I have my own ideas and I see it in

856
00:44:13,800 --> 00:44:16,040
Speaker 3: a little different light. And I because I have seen

857
00:44:16,080 --> 00:44:17,160
Speaker 3: this happen so many time.

858
00:44:17,239 --> 00:44:18,960
Speaker 2: Let me tell you you're far more credential to have

859
00:44:19,040 --> 00:44:19,960
Speaker 2: an opinion than I am.

860
00:44:20,120 --> 00:44:24,239
Speaker 3: Well, I don't know about that, but you are. And

861
00:44:24,280 --> 00:44:29,160
Speaker 3: I'm sure that you know it entered into their mind,

862
00:44:29,239 --> 00:44:32,520
Speaker 3: you know, supposedly, you know, I don't know. There was

863
00:44:32,560 --> 00:44:35,360
Speaker 3: some people, you know, some animal rights people had bought shares,

864
00:44:35,400 --> 00:44:37,280
Speaker 3: you know. I mean I've heard all those stories, of course.

865
00:44:37,920 --> 00:44:41,440
Speaker 3: But what I see as as a greater problem is.

866
00:44:41,960 --> 00:44:44,279
Speaker 2: Can you touch on their exp I mean, like they

867
00:44:44,320 --> 00:44:49,840
Speaker 2: went from being a specialty item like cold weather stuff

868
00:44:49,840 --> 00:44:53,239
Speaker 2: for out you know, sled dogg ers whatever, to being

869
00:44:53,520 --> 00:44:55,319
Speaker 2: New York subway where right?

870
00:44:55,920 --> 00:44:59,520
Speaker 3: I mean, they exploded, right, And you know I would

871
00:44:59,640 --> 00:45:01,600
Speaker 3: I would like to think that, you know, it was

872
00:45:01,719 --> 00:45:03,920
Speaker 3: that the fur is what differentiated them. I mean, I

873
00:45:04,200 --> 00:45:06,960
Speaker 3: think it made their their garment look cool, you know.

874
00:45:07,560 --> 00:45:12,080
Speaker 3: And I think, what, in my opinion, what's what I've

875
00:45:12,080 --> 00:45:14,919
Speaker 3: seen in other areas where people have quit using fur,

876
00:45:15,440 --> 00:45:19,200
Speaker 3: is this when they started using that trim, the coyote

877
00:45:19,280 --> 00:45:22,520
Speaker 3: was really out of favor, and the trim was very

878
00:45:22,600 --> 00:45:24,600
Speaker 3: very cheap. You know, maybe they could have put it

879
00:45:24,640 --> 00:45:28,040
Speaker 3: on their coat for ten bucks. And by the time that,

880
00:45:28,239 --> 00:45:30,799
Speaker 3: you know, craze was over, and you know, you guys

881
00:45:30,920 --> 00:45:33,400
Speaker 3: have probably talked about kyote prices, you know they had,

882
00:45:34,080 --> 00:45:37,480
Speaker 3: you know, maybe some coyotes had gone up by certainly

883
00:45:37,520 --> 00:45:39,760
Speaker 3: a factor of ten, you know. I mean, you couldn't

884
00:45:39,760 --> 00:45:42,160
Speaker 3: give a coyote away to being worth over one hundred dollars,

885
00:45:42,200 --> 00:45:44,880
Speaker 3: you know, for a good one. And the trim became

886
00:45:45,360 --> 00:45:49,400
Speaker 3: a rather expensive element of the coat. And when you

887
00:45:49,440 --> 00:45:52,640
Speaker 3: start talking about you know, I do know kind of

888
00:45:52,640 --> 00:45:55,040
Speaker 3: their numbers of what they sold, but you know, hundreds

889
00:45:55,080 --> 00:45:57,839
Speaker 3: of thousands of coats a year with you know, a

890
00:45:57,880 --> 00:46:00,560
Speaker 3: thirty eight dollars trim on it, it's a big number.

891
00:46:01,040 --> 00:46:03,320
Speaker 3: And if you think that you can sell that coat

892
00:46:04,440 --> 00:46:07,400
Speaker 3: without that trim, and you know everybody here can do

893
00:46:07,440 --> 00:46:10,240
Speaker 3: the math, you know, boy, profitability is a lot better.

894
00:46:10,760 --> 00:46:14,439
Speaker 3: And you know, natural fibers are that is the one

895
00:46:14,520 --> 00:46:17,839
Speaker 3: limitation that they have, and that is that there is

896
00:46:18,320 --> 00:46:21,120
Speaker 3: you know, a maximum number of something that can be produced,

897
00:46:21,280 --> 00:46:25,160
Speaker 3: you know, typically, and it always pushes the price. And

898
00:46:25,800 --> 00:46:30,520
Speaker 3: I think it was I think certainly cost savings had

899
00:46:30,960 --> 00:46:34,240
Speaker 3: an effect on it. I see it in all natural

900
00:46:34,280 --> 00:46:38,319
Speaker 3: fibers that people look to cost savings. You know, they

901
00:46:38,400 --> 00:46:40,759
Speaker 3: use a petroleum based product. You know, it's twenty five

902
00:46:40,840 --> 00:46:44,320
Speaker 3: cents a pound for petroleum, and that price really doesn't

903
00:46:44,360 --> 00:46:46,719
Speaker 3: go up much, really doesn't go down much. And no

904
00:46:46,800 --> 00:46:50,560
Speaker 3: matter how successful your garment is, it never is going

905
00:46:50,600 --> 00:46:54,000
Speaker 3: to have effect on the price of of of the

906
00:46:54,040 --> 00:46:57,920
Speaker 3: input of polyester. And I just I think that a

907
00:46:57,960 --> 00:46:59,640
Speaker 3: lot of it was a cost saving thing. You know,

908
00:46:59,680 --> 00:47:02,160
Speaker 3: maybe they made I had no idea, but maybe they

909
00:47:02,160 --> 00:47:04,200
Speaker 3: made a couple hundred bucks a garment. You know, especially

910
00:47:04,200 --> 00:47:05,919
Speaker 3: if they sold it to a department store. They can't

911
00:47:05,920 --> 00:47:09,000
Speaker 3: sell it to them for retail. And you know, if

912
00:47:09,080 --> 00:47:12,479
Speaker 3: thirty five dollars of that was going to the trim boy,

913
00:47:12,640 --> 00:47:15,600
Speaker 3: you know, the equation changes a lot for their profitability.

914
00:47:16,000 --> 00:47:19,680
Speaker 3: And I think you can see it with all natural fibers.

915
00:47:19,760 --> 00:47:21,600
Speaker 3: You know, big companies don't like to use it if

916
00:47:21,640 --> 00:47:24,480
Speaker 3: it's successful because it ends up pushing the price. You know,

917
00:47:24,520 --> 00:47:27,279
Speaker 3: they they themselves if they're a big enough company, and

918
00:47:27,360 --> 00:47:30,000
Speaker 3: Canada Goose they did. They ended up having the effect

919
00:47:30,120 --> 00:47:35,280
Speaker 3: of literally you know, dominating the coyote market and changing

920
00:47:35,320 --> 00:47:38,080
Speaker 3: the price to a factor of ten. Can you imagine that,

921
00:47:38,160 --> 00:47:39,880
Speaker 3: you know, you start out at one price and by

922
00:47:39,880 --> 00:47:42,560
Speaker 3: the time you're done, you know, ten years later, you know,

923
00:47:42,600 --> 00:47:44,680
Speaker 3: it's a factor of ten that you've affected the price.

924
00:47:44,760 --> 00:47:47,120
Speaker 3: You know, no matter how many coats they sell, they're

925
00:47:47,160 --> 00:47:48,799
Speaker 3: never going to affect the price a polyester.

926
00:47:49,160 --> 00:47:51,040
Speaker 2: So, uh, is it?

927
00:47:51,120 --> 00:47:52,840
Speaker 3: I was gonna that was, but I don't But I

928
00:47:52,880 --> 00:47:55,160
Speaker 3: don't speak for them, but I've seen it so many

929
00:47:55,200 --> 00:47:58,439
Speaker 3: times that you know, time and time again that.

930
00:47:58,440 --> 00:48:01,279
Speaker 2: It's it's difficult on this is gonna be My next

931
00:48:01,320 --> 00:48:07,920
Speaker 2: question is I've heard just guys saying that they that

932
00:48:07,920 --> 00:48:15,080
Speaker 2: that company actually drove the price of coyotes. Oh, absolutely,

933
00:48:15,280 --> 00:48:19,280
Speaker 2: like that, that demand of that that that fashion explosion.

934
00:48:18,680 --> 00:48:22,879
Speaker 3: Of a coyote for Actually, there's no question really, oh

935
00:48:22,920 --> 00:48:24,640
Speaker 3: my god. Absolutely they dominated.

936
00:48:24,680 --> 00:48:25,000
Speaker 2: They were.

937
00:48:26,480 --> 00:48:27,960
Speaker 3: I mean you know that you have to realize that

938
00:48:28,000 --> 00:48:31,000
Speaker 3: in China. You know, there was copycatters that probably sold

939
00:48:31,000 --> 00:48:33,560
Speaker 3: three times as many coats as they did, maybe ten

940
00:48:33,600 --> 00:48:36,440
Speaker 3: times as many coats. People that you know, copy their

941
00:48:36,480 --> 00:48:38,520
Speaker 3: coat and sold it in China, Well they all put

942
00:48:38,560 --> 00:48:41,600
Speaker 3: a coyote trim on it, so you know, Canada, Goose.

943
00:48:41,600 --> 00:48:45,439
Speaker 3: So the people copying them just absolutely dominated the market.

944
00:48:45,480 --> 00:48:47,600
Speaker 3: I mean, you could buy a fake in China that

945
00:48:47,680 --> 00:48:50,400
Speaker 3: you know, you couldn't tell the difference. And uh, but

946
00:48:50,680 --> 00:48:53,279
Speaker 3: they certainly they didn't fake the coyote trim. You know

947
00:48:53,360 --> 00:48:54,239
Speaker 3: that was still on there.

948
00:48:54,960 --> 00:48:57,279
Speaker 2: Yeah, Seth, can you hold out that fox? Re meant?

949
00:48:57,800 --> 00:49:00,160
Speaker 2: Can you show me? I heard a rumor once? This

950
00:49:00,200 --> 00:49:03,360
Speaker 2: is not a rumor that makes it sound saucy. Someone

951
00:49:03,360 --> 00:49:07,680
Speaker 2: told me that when you make when you rough a parka, okay,

952
00:49:07,719 --> 00:49:09,560
Speaker 2: you could grab can can people see that park of

953
00:49:10,719 --> 00:49:13,440
Speaker 2: when you rough a parka, that you're Someone told me

954
00:49:13,440 --> 00:49:16,200
Speaker 2: that you're actually cutting a circle here, hold that up, Seth,

955
00:49:17,360 --> 00:49:19,120
Speaker 2: and you're you're cutting it like this. Let me see

956
00:49:19,120 --> 00:49:22,040
Speaker 2: that some bitch from it. Someone told me that you

957
00:49:22,120 --> 00:49:26,440
Speaker 2: take the kyo and you're you're kind of like snipping

958
00:49:26,520 --> 00:49:29,399
Speaker 2: here and snipping here, and that's the rough.

959
00:49:29,480 --> 00:49:29,680
Speaker 3: Okay.

960
00:49:29,800 --> 00:49:30,759
Speaker 2: Is that true or not true?

961
00:49:30,800 --> 00:49:33,839
Speaker 3: That's not that's sort of true. Okay. If you want

962
00:49:33,880 --> 00:49:37,720
Speaker 3: to show me that, I'll I'll show you. Okay. So, typically,

963
00:49:37,719 --> 00:49:39,480
Speaker 3: on a coyote, which is a little bit similar to

964
00:49:39,520 --> 00:49:41,799
Speaker 3: a fox, that's why it's really important to look at

965
00:49:41,840 --> 00:49:44,160
Speaker 3: the neck because you'd love to have the neck look

966
00:49:44,239 --> 00:49:47,920
Speaker 3: a lot like the rump. Okay, And uh, typically a

967
00:49:48,000 --> 00:49:51,319
Speaker 3: coyote gets bad in the neck first, and it's it's

968
00:49:51,400 --> 00:49:52,640
Speaker 3: really easy.

969
00:49:52,960 --> 00:49:57,359
Speaker 2: I'm just reminding you to criticize that, right, So, I mean,

970
00:49:57,400 --> 00:50:00,280
Speaker 2: the easy way to do this, because especially for the

971
00:50:00,320 --> 00:50:03,560
Speaker 2: trim is to go like this, Okay, if you can,

972
00:50:03,920 --> 00:50:05,759
Speaker 2: but if you so, you're gonna burn a whole one up.

973
00:50:06,320 --> 00:50:09,480
Speaker 3: You're oh, you're gonna bork you. You'll, well, with a coyote,

974
00:50:09,480 --> 00:50:13,280
Speaker 3: you maybe get three, maybe four, maybe even five five trims. Yeah,

975
00:50:13,480 --> 00:50:14,799
Speaker 3: I mean these guys one out of one.

976
00:50:14,880 --> 00:50:16,719
Speaker 2: Sure, Oh, these guys are professionals.

977
00:50:17,680 --> 00:50:19,600
Speaker 6: You should one of coyotes right there.

978
00:50:20,400 --> 00:50:22,120
Speaker 3: So yeah, you could grab one of those coyotes.

979
00:50:22,480 --> 00:50:24,960
Speaker 6: So when you put a show them, show us with

980
00:50:25,000 --> 00:50:25,560
Speaker 6: the real thing.

981
00:50:26,400 --> 00:50:28,600
Speaker 3: So these are actually pretty nice coyotes, and and that

982
00:50:28,719 --> 00:50:32,520
Speaker 3: shows the those are good. And you could you could

983
00:50:32,560 --> 00:50:35,160
Speaker 3: go down this whole strip and make a nice coyote strip.

984
00:50:35,600 --> 00:50:37,960
Speaker 3: Which the problem is like if you have a bad neck,

985
00:50:38,000 --> 00:50:39,879
Speaker 3: you'll cut it in half here and then you'll make

986
00:50:39,880 --> 00:50:41,640
Speaker 3: two strips and you'll and the problem is you have

987
00:50:41,680 --> 00:50:42,200
Speaker 3: to join them.

988
00:50:42,320 --> 00:50:44,160
Speaker 2: Well something looks as similar, Well, you have to.

989
00:50:44,120 --> 00:50:46,520
Speaker 3: You have to join them, the two together. So then

990
00:50:46,680 --> 00:50:48,759
Speaker 3: so then the problem that you have if you join

991
00:50:48,840 --> 00:50:50,640
Speaker 3: if you've got a bad neck, which is what happens

992
00:50:50,640 --> 00:50:52,800
Speaker 3: on a lot of coyotes. This one's got a little

993
00:50:52,800 --> 00:50:55,319
Speaker 3: bit of of some problems right here, probably a little

994
00:50:55,360 --> 00:50:57,640
Speaker 3: dick damage and there would be a spot you'd have

995
00:50:57,680 --> 00:50:59,799
Speaker 3: to correct there. But when you join them, you end

996
00:50:59,880 --> 00:51:01,880
Speaker 3: up with a mohawk or you end up with a

997
00:51:01,960 --> 00:51:05,400
Speaker 3: valley because it's right in the center of the trim.

998
00:51:05,760 --> 00:51:08,400
Speaker 3: So that's a problem. There is actually even ways you

999
00:51:08,440 --> 00:51:11,960
Speaker 3: can let this out or lengthen make it wider and

1000
00:51:12,000 --> 00:51:14,080
Speaker 3: then lengthen it out. You can make some what they

1001
00:51:14,080 --> 00:51:17,480
Speaker 3: call drops in it, but it's not as simple to

1002
00:51:17,520 --> 00:51:20,880
Speaker 3: make a really nice strip of just going around it.

1003
00:51:20,880 --> 00:51:22,840
Speaker 3: I mean you could go around it like this, and

1004
00:51:22,880 --> 00:51:25,759
Speaker 3: then you would also have that joining problem because your

1005
00:51:25,880 --> 00:51:28,799
Speaker 3: joinery would be sort of towards the belly because it's

1006
00:51:28,800 --> 00:51:31,000
Speaker 3: not long enough to go or go around. So what

1007
00:51:31,120 --> 00:51:34,200
Speaker 3: you'd have is this kind of you know, shorter you know,

1008
00:51:34,280 --> 00:51:37,400
Speaker 3: getting towards the belly you know, right here, and that

1009
00:51:37,680 --> 00:51:39,680
Speaker 3: would not look good. You wouldn't want that on your trim.

1010
00:51:39,680 --> 00:51:42,160
Speaker 2: People shouldn't be allowed to tell people's soulf it's not correct.

1011
00:51:45,760 --> 00:51:51,719
Speaker 6: Like news.

1012
00:51:51,960 --> 00:51:54,200
Speaker 10: Guy, you had a note to me when we chatted

1013
00:51:54,280 --> 00:51:58,200
Speaker 10: on the phone about the price of coyotes about twenty

1014
00:51:58,520 --> 00:52:00,880
Speaker 10: or so years before Can and a goose cup.

1015
00:52:01,719 --> 00:52:04,600
Speaker 3: Yeah. Popular, I remember going like to Hong Kong when

1016
00:52:04,600 --> 00:52:06,399
Speaker 3: the center of the fur business was in Hong Kong

1017
00:52:06,480 --> 00:52:13,160
Speaker 3: and maybe nineteen late nineties maybe, and you know, you

1018
00:52:13,200 --> 00:52:15,279
Speaker 3: could you could almost touch the whole business in China

1019
00:52:15,440 --> 00:52:17,960
Speaker 3: just by going around to places in Hong Kong, you know.

1020
00:52:18,040 --> 00:52:19,600
Speaker 3: And I'd always I had a kind of a partner

1021
00:52:19,640 --> 00:52:22,400
Speaker 3: there and we'd go from, you know, place to place,

1022
00:52:22,440 --> 00:52:24,600
Speaker 3: and you know, we'd have our sample bag and you know,

1023
00:52:24,600 --> 00:52:26,279
Speaker 3: we were trying to get him interested in wild for

1024
00:52:26,440 --> 00:52:28,440
Speaker 3: because they were all using ranch for at the time.

1025
00:52:28,760 --> 00:52:31,760
Speaker 3: The business in Hong Kong, it was centered there because

1026
00:52:32,160 --> 00:52:36,160
Speaker 3: you know, during all the ships would stop there with sailors,

1027
00:52:36,360 --> 00:52:38,600
Speaker 3: they would they would have cheap for coats made there,

1028
00:52:39,000 --> 00:52:42,359
Speaker 3: and they actually manufactured them in Hong Kong. And then

1029
00:52:43,360 --> 00:52:46,120
Speaker 3: the you know, they they stayed there. And then as

1030
00:52:46,160 --> 00:52:48,719
Speaker 3: they started to become exporters, those people were still there

1031
00:52:48,719 --> 00:52:53,000
Speaker 3: and they accessed the Chinese labor market and that's why

1032
00:52:53,040 --> 00:52:54,880
Speaker 3: the center of it was there. And then it gradually

1033
00:52:54,880 --> 00:52:57,920
Speaker 3: moved all into China, and we moved into China, but

1034
00:52:58,400 --> 00:53:01,239
Speaker 3: we would bring kyotes along. You know, even though we

1035
00:53:01,360 --> 00:53:03,640
Speaker 3: knew we would not sell them, you know, and we

1036
00:53:03,920 --> 00:53:06,440
Speaker 3: would literally just beg people, you know, to take it,

1037
00:53:06,560 --> 00:53:08,440
Speaker 3: try it, you know, you know if you could you know,

1038
00:53:08,560 --> 00:53:10,920
Speaker 3: possibly use use these in any way, and they just

1039
00:53:11,320 --> 00:53:13,440
Speaker 3: you know, like a raccoon, you know, they could. It

1040
00:53:13,480 --> 00:53:16,840
Speaker 3: wasn't the longest haired item, and they could. It was

1041
00:53:16,920 --> 00:53:19,200
Speaker 3: cheap enough. They could use it, you know, for an

1042
00:53:19,200 --> 00:53:21,239
Speaker 3: inner liner, they could use it for this. They just

1043
00:53:21,320 --> 00:53:22,840
Speaker 3: could figure out ways to use it. And it was

1044
00:53:22,880 --> 00:53:24,920
Speaker 3: just like the coyote. They just you know, it was

1045
00:53:24,960 --> 00:53:26,920
Speaker 3: just something they couldn't use. They couldn't figure out how

1046
00:53:26,920 --> 00:53:28,439
Speaker 3: to use it. And then you know.

1047
00:53:28,520 --> 00:53:30,480
Speaker 10: Canada that time you said what it was like ten

1048
00:53:30,520 --> 00:53:31,520
Speaker 10: to fifteen.

1049
00:53:31,239 --> 00:53:34,040
Speaker 3: Yeah, ten to fifteen dollars was yeah, if you could

1050
00:53:34,120 --> 00:53:36,160
Speaker 3: sell it, you know, you just you couldn't. They couldn't

1051
00:53:36,160 --> 00:53:39,600
Speaker 3: even get them to comprehend it even hardly. And then

1052
00:53:39,840 --> 00:53:42,360
Speaker 3: just in the early two thousands it just kind of started.

1053
00:53:42,400 --> 00:53:46,200
Speaker 3: Canada Goose started and yeah, they they it was amazing

1054
00:53:46,239 --> 00:53:47,160
Speaker 3: what they did for the business.

1055
00:53:47,239 --> 00:53:50,359
Speaker 2: Yeah, okay, now what's wrong with that beaver?

1056
00:53:51,520 --> 00:53:54,239
Speaker 3: Well, this beaver that you have in the back of

1057
00:53:54,280 --> 00:53:58,040
Speaker 3: your chair, you know, really most beaver are historically in

1058
00:53:58,080 --> 00:54:00,000
Speaker 3: the country have been used, you know, to make felt.

1059
00:54:00,400 --> 00:54:02,399
Speaker 4: Yeah, and that that should have been used for that.

1060
00:54:02,400 --> 00:54:04,880
Speaker 3: That should have been used to do that because they

1061
00:54:05,520 --> 00:54:08,440
Speaker 3: know not necessarily well, that's one reason, but because they

1062
00:54:08,520 --> 00:54:11,240
Speaker 3: just use the underwall. And beavers, even though they last forever,

1063
00:54:11,320 --> 00:54:14,279
Speaker 3: they're they're a very strong animal. If you shear them,

1064
00:54:14,360 --> 00:54:17,000
Speaker 3: they don't stay clean. So in other words, if you

1065
00:54:17,040 --> 00:54:18,279
Speaker 3: get rid of this guard here and you have a

1066
00:54:18,280 --> 00:54:20,680
Speaker 3: sheared beaver, they get dirty very quickly. And if you

1067
00:54:20,719 --> 00:54:23,480
Speaker 3: have a long haired one, they get a bit dishoveled

1068
00:54:23,520 --> 00:54:25,399
Speaker 3: like this one is. Their hair goes kind of every

1069
00:54:25,400 --> 00:54:29,040
Speaker 3: other way. They're they're they're a beaver. It's uh, it

1070
00:54:29,280 --> 00:54:31,719
Speaker 3: really looks unless you really can take care of it

1071
00:54:31,760 --> 00:54:33,640
Speaker 3: and don't use it very much. It really is. The

1072
00:54:33,680 --> 00:54:35,920
Speaker 3: best use is in a hat or trade.

1073
00:54:36,040 --> 00:54:40,919
Speaker 2: Oh okay, I thought you're going to criticize something. It's fine,

1074
00:54:41,480 --> 00:54:42,879
Speaker 2: you should talk.

1075
00:54:43,400 --> 00:54:45,520
Speaker 5: No, it's a it's a It was just when he

1076
00:54:45,560 --> 00:54:47,359
Speaker 5: walked in and he said, he said, it's a real

1077
00:54:47,440 --> 00:54:49,439
Speaker 5: shame to see that beaver just sitting on the back

1078
00:54:49,440 --> 00:54:51,600
Speaker 5: of the chair. It should be a hat.

1079
00:54:52,360 --> 00:54:53,600
Speaker 2: It should be a hat somewhere.

1080
00:54:53,840 --> 00:54:55,080
Speaker 3: Do you have a hat or not? Do you have

1081
00:54:55,080 --> 00:54:58,000
Speaker 3: a beaver hat. Okay, good, not a cowboy. Oh that's

1082
00:54:58,000 --> 00:55:00,879
Speaker 3: what I mean. A cowboy yet, dudelet's we can probably

1083
00:55:00,880 --> 00:55:01,360
Speaker 3: fix you up.

1084
00:55:01,480 --> 00:55:04,759
Speaker 2: Okay, this this, it's out of control around here. The

1085
00:55:04,800 --> 00:55:07,000
Speaker 2: other day I saw I'm not kidding you there to

1086
00:55:06,960 --> 00:55:11,440
Speaker 2: as see a guy in the airport. I'm not joking.

1087
00:55:11,640 --> 00:55:14,680
Speaker 2: There's a guy in the Bosman airport that has spurs on.

1088
00:55:16,520 --> 00:55:17,440
Speaker 5: Gotten through TSA.

1089
00:55:18,440 --> 00:55:21,160
Speaker 2: He's in the baggage area wearing spur Yeah no, no,

1090
00:55:21,280 --> 00:55:24,319
Speaker 2: he did. He did gone through TSA spurs on like

1091
00:55:24,320 --> 00:55:29,280
Speaker 2: he's like just plane needs a speed up start spurring

1092
00:55:29,280 --> 00:55:32,000
Speaker 2: his seat. Now that he's got his leather work gloves

1093
00:55:32,000 --> 00:55:35,080
Speaker 2: folded into his belt, it's like the playing cowboy thing

1094
00:55:35,120 --> 00:55:37,640
Speaker 2: around here is out.

1095
00:55:37,120 --> 00:55:38,120
Speaker 6: Like fake cowboy.

1096
00:55:38,280 --> 00:55:41,040
Speaker 2: Oh my god, he probably had tattoos just you know

1097
00:55:41,200 --> 00:55:44,520
Speaker 2: the other night when we landed, when we landed there night, Yeah,

1098
00:55:44,560 --> 00:55:46,640
Speaker 2: some kids stand there, looks like howardy duty. He's got

1099
00:55:46,640 --> 00:55:48,400
Speaker 2: a big old cowboy hat tipped down the back of

1100
00:55:48,400 --> 00:55:50,080
Speaker 2: his head, big old belt buckle, and he's picking up

1101
00:55:50,080 --> 00:55:54,719
Speaker 2: a bunch of terists. Oh yeah yeah, and he's like

1102
00:55:54,760 --> 00:55:58,399
Speaker 2: a shuttle driver, like a shuttle driver for a dude ranch.

1103
00:55:58,480 --> 00:55:59,960
Speaker 2: But it looks like he just got his ass kick

1104
00:56:00,120 --> 00:56:06,000
Speaker 2: at a at a rodeo fight. It's out of control.

1105
00:56:06,480 --> 00:56:08,000
Speaker 2: But that's the thing I want to bring up is

1106
00:56:08,040 --> 00:56:10,480
Speaker 2: that's like driving beaver market right now. Can you talk

1107
00:56:10,480 --> 00:56:14,000
Speaker 2: about that like wolfelt yeah, cow and cowboy hats.

1108
00:56:14,360 --> 00:56:16,319
Speaker 3: Yeah, well it's it's the.

1109
00:56:16,320 --> 00:56:19,080
Speaker 6: Flat brim hats, hats that all the gals wear these days.

1110
00:56:19,080 --> 00:56:21,759
Speaker 2: Oh yeah, like the Saturday Live my big dumb hat

1111
00:56:21,880 --> 00:56:22,640
Speaker 2: Bozeman hats.

1112
00:56:22,760 --> 00:56:24,640
Speaker 6: I haven't seen that, but yeah.

1113
00:56:24,520 --> 00:56:26,200
Speaker 2: They did any thing about those hats called my big

1114
00:56:26,280 --> 00:56:33,080
Speaker 2: dumb hat. Oh, it's about girls and those huge hats.

1115
00:56:34,360 --> 00:56:37,560
Speaker 3: Yeah. So the I mean, the cowboy hat craze is

1116
00:56:37,760 --> 00:56:40,319
Speaker 3: you know, uh, it's you know, it's it's huge for

1117
00:56:40,360 --> 00:56:41,040
Speaker 3: the business.

1118
00:56:41,120 --> 00:56:43,040
Speaker 2: I mean, beaver I'm not knocking on it.

1119
00:56:43,120 --> 00:56:47,200
Speaker 3: I mean and once again that that same metric, you know,

1120
00:56:47,520 --> 00:56:50,200
Speaker 3: I mean, beaver prices have probably quadrupled in the last

1121
00:56:50,280 --> 00:56:51,799
Speaker 3: you know, five years because of it.

1122
00:56:52,200 --> 00:56:55,120
Speaker 2: And that's all going like, how do you make that stuff?

1123
00:56:55,200 --> 00:56:57,359
Speaker 2: Do they shed? Do they shred the whole thing?

1124
00:56:57,480 --> 00:57:00,920
Speaker 3: No, what they do is they eliminate the leather. That's

1125
00:57:00,960 --> 00:57:03,520
Speaker 3: the first thing that happens. They turned the leather into spaghetti.

1126
00:57:03,840 --> 00:57:06,000
Speaker 3: So it's just you know, they make they bite it

1127
00:57:06,040 --> 00:57:08,759
Speaker 3: off with this machine, and and you're left the skin

1128
00:57:08,800 --> 00:57:11,799
Speaker 3: almost looks like it's still there. The fur is still there,

1129
00:57:11,920 --> 00:57:13,560
Speaker 3: and you could just put your hand right through it

1130
00:57:13,600 --> 00:57:17,200
Speaker 3: because the leather is gone. Okay, then it and and

1131
00:57:17,400 --> 00:57:20,200
Speaker 3: but before that happens, while it's still on the animal,

1132
00:57:20,880 --> 00:57:21,960
Speaker 3: acid is dripped on it.

1133
00:57:22,000 --> 00:57:24,160
Speaker 2: Okay, not while it's on the animal, you know.

1134
00:57:24,560 --> 00:57:27,640
Speaker 3: Well I'm sorry, Well it's still while it's still on

1135
00:57:27,680 --> 00:57:30,720
Speaker 3: the skin. Thanks for correcting me. I appreciate that. While

1136
00:57:30,720 --> 00:57:32,920
Speaker 3: it's still on the skin, acid is dripped on it.

1137
00:57:33,000 --> 00:57:35,680
Speaker 3: Used to be mercury, right, you know the mad Hatter was. Yeah,

1138
00:57:35,680 --> 00:57:37,680
Speaker 3: that's why they called it. That's why that's where the

1139
00:57:37,680 --> 00:57:39,800
Speaker 3: mad Head is from. Yeah, from they used to use

1140
00:57:39,800 --> 00:57:43,560
Speaker 3: mercury carroting. Yeah, yeah, exactly, this guy he's talking about. Yeah,

1141
00:57:43,600 --> 00:57:45,280
Speaker 3: because it turns it orange a little bit, and it

1142
00:57:45,280 --> 00:57:46,560
Speaker 3: still turns it orange a little bit.

1143
00:57:46,560 --> 00:57:48,760
Speaker 2: When you the old days, like let's say the Mountain

1144
00:57:48,760 --> 00:57:51,080
Speaker 2: Man era. Yeah, they would take that beaver hide and

1145
00:57:51,080 --> 00:57:52,080
Speaker 2: put mercury on it.

1146
00:57:52,160 --> 00:57:53,800
Speaker 3: Yeah, but it wouldn't have been done out here. You know.

1147
00:57:53,840 --> 00:57:56,200
Speaker 3: They took the beaver's you know, to Saint Louis or wherever,

1148
00:57:56,240 --> 00:57:58,760
Speaker 3: and they were shipped to Europe and then it was

1149
00:57:58,840 --> 00:58:01,080
Speaker 3: you know car had.

1150
00:58:00,400 --> 00:58:02,200
Speaker 2: That was making abe Lincoln heads.

1151
00:58:02,240 --> 00:58:04,480
Speaker 3: Even even back in the day, they would have had

1152
00:58:04,520 --> 00:58:07,120
Speaker 3: they would have had to have done it because because

1153
00:58:07,160 --> 00:58:09,680
Speaker 3: the beaver hair is actually too good, it's too smooth.

1154
00:58:10,000 --> 00:58:11,640
Speaker 3: So what they do by putting that acid or it

1155
00:58:11,680 --> 00:58:14,080
Speaker 3: used to be mercury, is they actually injure, injure the

1156
00:58:14,120 --> 00:58:16,000
Speaker 3: hair and give it split ends, it breaks down the

1157
00:58:16,040 --> 00:58:19,400
Speaker 3: carratin give it gives it a very good The only

1158
00:58:19,440 --> 00:58:22,320
Speaker 3: reason he knows why am I on this show.

1159
00:58:22,320 --> 00:58:24,240
Speaker 2: He knows this because me and him are We work

1160
00:58:24,280 --> 00:58:26,880
Speaker 2: on this thing called me Eater's American History. The next

1161
00:58:26,960 --> 00:58:28,320
Speaker 2: volume is on the beaver trade.

1162
00:58:28,360 --> 00:58:31,360
Speaker 3: Oh really, it just.

1163
00:58:31,240 --> 00:58:34,000
Speaker 5: Blew my cover. I was a really impressing guy here.

1164
00:58:37,400 --> 00:58:40,360
Speaker 3: So like in the nineteen forties, they they developed formulas

1165
00:58:40,360 --> 00:58:42,680
Speaker 3: for using acid, and then now they use acid. Then

1166
00:58:42,920 --> 00:58:44,720
Speaker 3: then this all of this hair goes through a big

1167
00:58:44,760 --> 00:58:47,960
Speaker 3: machine where it's blown. They call it blowing, and all

1168
00:58:48,000 --> 00:58:50,880
Speaker 3: the heavy stuff falls out, maybe little pieces of leather

1169
00:58:51,240 --> 00:58:53,960
Speaker 3: or the guard hair. So all the guard hair falls out.

1170
00:58:54,080 --> 00:58:54,960
Speaker 2: They don't want the guard hair.

1171
00:58:54,960 --> 00:59:01,680
Speaker 3: The guard hair is worthless. It it's it's thrown away,

1172
00:59:02,840 --> 00:59:07,480
Speaker 3: and then so and then this stuff. So wow, I'll

1173
00:59:07,480 --> 00:59:09,919
Speaker 3: be in a factory next month. You can come with me, Okay,

1174
00:59:10,120 --> 00:59:13,280
Speaker 3: I'd love to do that. So then so then once

1175
00:59:13,320 --> 00:59:16,280
Speaker 3: once it's blown, once you're reduced to just that underwall,

1176
00:59:17,080 --> 00:59:19,600
Speaker 3: it is, it's you know, it's super clean, it's free

1177
00:59:19,600 --> 00:59:23,000
Speaker 3: of grease, and you can take that material. Okay, And

1178
00:59:23,040 --> 00:59:26,720
Speaker 3: this is the most primitive form of material that there is.

1179
00:59:26,760 --> 00:59:28,920
Speaker 3: You know, this was that was the very first material

1180
00:59:29,000 --> 00:59:32,080
Speaker 3: ever used. Okay, as is people felting. They would just

1181
00:59:32,360 --> 00:59:35,400
Speaker 3: Indians or whoever, would just rub you know, hair together

1182
00:59:35,560 --> 00:59:37,920
Speaker 3: until it felt it. And when you take that stuff,

1183
00:59:37,920 --> 00:59:42,440
Speaker 3: it's such it's so done so precisely that within literally seconds,

1184
00:59:42,520 --> 00:59:44,360
Speaker 3: if you take a chunk of it, you can make felt.

1185
00:59:44,680 --> 00:59:45,919
Speaker 3: It turns into a piece of felt.

1186
00:59:46,040 --> 00:59:48,840
Speaker 2: All right. You know what's that kind of school that

1187
00:59:49,680 --> 00:59:54,640
Speaker 2: it's like, you know, people send their kids a certain

1188
00:59:54,680 --> 00:59:56,840
Speaker 2: kind of schools that they don't want them going to

1189
00:59:56,840 --> 01:00:02,960
Speaker 2: public school, opposite kind of the opposite kind of person

1190
01:00:03,000 --> 01:00:05,000
Speaker 2: that would send their kid to military school sends them.

1191
01:00:05,040 --> 01:00:05,840
Speaker 2: Is it Monassory?

1192
01:00:06,560 --> 01:00:06,800
Speaker 4: Yeah?

1193
01:00:06,880 --> 01:00:08,160
Speaker 9: Yeah, yeah yeah.

1194
01:00:08,200 --> 01:00:12,280
Speaker 2: Aren't they real big into felting? They give kids felting projects.

1195
01:00:12,400 --> 01:00:14,960
Speaker 5: I think that's like making thing like arts and crafts

1196
01:00:15,040 --> 01:00:20,520
Speaker 5: with colored felt. Yeah, but they're not like making felt.

1197
01:00:20,760 --> 01:00:23,840
Speaker 5: They're making things with felt. I think, oh, I've spent a.

1198
01:00:23,800 --> 01:00:24,240
Speaker 2: Lot of time.

1199
01:00:24,320 --> 01:00:28,360
Speaker 3: So then that so then the hat is they they

1200
01:00:28,400 --> 01:00:31,400
Speaker 3: take that that all that fur, that's that cut fur,

1201
01:00:31,680 --> 01:00:34,440
Speaker 3: and they pour it over a conic form that's maybe

1202
01:00:34,640 --> 01:00:37,360
Speaker 3: a foot and a half twenty four inches tall.

1203
01:00:37,600 --> 01:00:39,480
Speaker 2: Okay, literally just a big cone.

1204
01:00:39,680 --> 01:00:42,160
Speaker 3: Okay, it's it's it's just and the and the cone

1205
01:00:42,160 --> 01:00:43,480
Speaker 3: has a bunch of air holes in it so the

1206
01:00:43,520 --> 01:00:46,720
Speaker 3: air can suck out so that it goes uniformly all

1207
01:00:46,760 --> 01:00:47,520
Speaker 3: over this cone.

1208
01:00:47,680 --> 01:00:48,720
Speaker 2: Okay dry or what.

1209
01:00:49,080 --> 01:00:52,560
Speaker 3: Uh, fairly dry, and then a ton of water just

1210
01:00:52,600 --> 01:00:55,960
Speaker 3: goes over it and starts that felting process, and that

1211
01:00:56,080 --> 01:00:58,400
Speaker 3: fur comes out of that. It just comes out in

1212
01:00:58,480 --> 01:00:59,440
Speaker 3: this big cone.

1213
01:00:59,720 --> 01:01:00,160
Speaker 2: Okay.

1214
01:01:00,200 --> 01:01:02,360
Speaker 3: And that's the start of a cowboy hat. It's just

1215
01:01:03,000 --> 01:01:05,560
Speaker 3: what it's just a massive cone, that's all it is.

1216
01:01:05,560 --> 01:01:08,040
Speaker 2: So they don't start by making a big sheet of felt.

1217
01:01:08,240 --> 01:01:11,560
Speaker 3: Absolutely not. It's in a it's in a cone form

1218
01:01:11,840 --> 01:01:14,440
Speaker 3: and it's and it's it's felt, and you can grab that.

1219
01:01:14,680 --> 01:01:16,520
Speaker 3: And then they start they put it on and they

1220
01:01:16,560 --> 01:01:19,160
Speaker 3: start pressing it together and going like that and they

1221
01:01:19,360 --> 01:01:21,240
Speaker 3: turn it so it doesn't get a fold that stays

1222
01:01:21,280 --> 01:01:22,640
Speaker 3: in it, you know, because they want to keep turning

1223
01:01:22,680 --> 01:01:25,280
Speaker 3: it so that it stays like that, and it just

1224
01:01:25,360 --> 01:01:28,680
Speaker 3: keeps getting you know, uh more. I don't know what

1225
01:01:28,720 --> 01:01:31,000
Speaker 3: the word would be. You know that it kind of

1226
01:01:31,040 --> 01:01:33,560
Speaker 3: locked together, you know. And then they and then they start,

1227
01:01:33,640 --> 01:01:36,240
Speaker 3: depending on you know, the order that they have or

1228
01:01:36,240 --> 01:01:39,960
Speaker 3: whatever they you know, put it into a form, right,

1229
01:01:40,000 --> 01:01:43,200
Speaker 3: and sometimes that the the they're called bodies once they're

1230
01:01:43,240 --> 01:01:46,640
Speaker 3: made into those cones. And sometimes they just sell the body.

1231
01:01:46,720 --> 01:01:50,320
Speaker 3: So there's three there's three primary deals in the hat business.

1232
01:01:50,360 --> 01:01:53,280
Speaker 3: It's it's for cutting, okay, So those that would be

1233
01:01:53,360 --> 01:01:55,600
Speaker 3: a separate factory. You cut the fur, you tree, you

1234
01:01:55,720 --> 01:01:58,479
Speaker 3: carried it, and you cut it, and you may sell

1235
01:01:58,520 --> 01:02:00,360
Speaker 3: that fur, or you may send it on to your

1236
01:02:00,360 --> 01:02:03,360
Speaker 3: own factory, which would be the body making. So then

1237
01:02:03,400 --> 01:02:06,600
Speaker 3: you make a body just this cone, okay, and then

1238
01:02:06,640 --> 01:02:08,960
Speaker 3: that cone you you have to send that on to

1239
01:02:09,080 --> 01:02:11,320
Speaker 3: another factory, and that's called a finishing factory. And that's

1240
01:02:11,360 --> 01:02:14,560
Speaker 3: like you know, stets and resist all, you know, all

1241
01:02:14,640 --> 01:02:17,400
Speaker 3: the the hat companies here in the States, they would

1242
01:02:17,440 --> 01:02:20,680
Speaker 3: buy a lot of times hat bodies, you know, and

1243
01:02:20,720 --> 01:02:23,400
Speaker 3: then they they have all these these forms you know

1244
01:02:23,440 --> 01:02:25,400
Speaker 3: for cowboy hats are it could be easily one hundred

1245
01:02:25,440 --> 01:02:29,040
Speaker 3: years old that they use to form form the finished

1246
01:02:29,040 --> 01:02:29,600
Speaker 3: hats out.

1247
01:02:29,440 --> 01:02:31,120
Speaker 2: Of I don't want you to think I'm dense, but

1248
01:02:31,120 --> 01:02:32,920
Speaker 2: I just want to make sure I understand this correctly.

1249
01:02:34,440 --> 01:02:39,200
Speaker 2: Each hat, each cowboy hat, each stats and hat is

1250
01:02:40,280 --> 01:02:42,880
Speaker 2: started out with handfuls of beaver.

1251
01:02:42,680 --> 01:02:44,280
Speaker 3: Fur, handfuls of beaver fur.

1252
01:02:45,320 --> 01:02:48,840
Speaker 2: That will only ever belong to that hat.

1253
01:02:48,920 --> 01:02:50,840
Speaker 3: Which will only belong to that hat. Well, I mean,

1254
01:02:51,440 --> 01:02:53,480
Speaker 3: if it's if it's a poorer quality one, it's mixed

1255
01:02:53,480 --> 01:02:54,680
Speaker 3: with more hair or rabbit.

1256
01:02:55,120 --> 01:02:57,680
Speaker 2: But if it's say, yeah, you when you take that fur,

1257
01:02:57,800 --> 01:03:00,600
Speaker 2: you're forming a hat. You're not forming a fabric.

1258
01:03:00,720 --> 01:03:03,040
Speaker 3: No, you're you're forming a fabric that's in a cone

1259
01:03:03,040 --> 01:03:04,240
Speaker 3: shape for that hat.

1260
01:03:04,360 --> 01:03:07,280
Speaker 2: It's not it's not a flat fabric. Did you know that, Randall?

1261
01:03:07,640 --> 01:03:08,000
Speaker 3: I did.

1262
01:03:08,120 --> 01:03:10,840
Speaker 5: And before you get to the coney you make bats.

1263
01:03:11,040 --> 01:03:13,400
Speaker 3: I believe, no, the.

1264
01:03:15,480 --> 01:03:16,920
Speaker 2: This was so validing to me.

1265
01:03:17,080 --> 01:03:19,680
Speaker 3: Yeah, so just now, no, No, it's it's it's usually

1266
01:03:19,720 --> 01:03:25,479
Speaker 3: it's the fur is sort of uh uh rained over

1267
01:03:25,520 --> 01:03:29,160
Speaker 3: this this form that has air air sucking little tiny

1268
01:03:29,160 --> 01:03:32,360
Speaker 3: holes in it and it's sucking all the time so

1269
01:03:32,400 --> 01:03:35,800
Speaker 3: that it gets covered just perfectly. I mean, it looks

1270
01:03:35,840 --> 01:03:38,160
Speaker 3: like snow, like if they're using you know, bleach beaver,

1271
01:03:39,240 --> 01:03:41,560
Speaker 3: it looks like it looks like snow. We bleach beaver

1272
01:03:41,680 --> 01:03:43,120
Speaker 3: at our place for it. So if you see it,

1273
01:03:43,160 --> 01:03:45,240
Speaker 3: bleach beaver has pretty well it's come from our place.

1274
01:03:46,040 --> 01:03:48,480
Speaker 2: Yeah, from now on, when I see a hat cowboy

1275
01:03:48,520 --> 01:03:52,200
Speaker 2: hat at the airport or whatever, as you think to myself,

1276
01:03:52,480 --> 01:03:58,640
Speaker 2: are you sure? Are you sure you're cowboy? No, I'm

1277
01:03:58,640 --> 01:04:01,880
Speaker 2: gonna start thinking that's a will have processed to form

1278
01:04:01,920 --> 01:04:02,280
Speaker 2: that hat.

1279
01:04:02,520 --> 01:04:05,480
Speaker 3: Ask him how many X it is, and you'll find

1280
01:04:06,040 --> 01:04:11,040
Speaker 3: it's it's not totally industry wide. So some some places,

1281
01:04:11,200 --> 01:04:13,280
Speaker 3: you know, one hundred X maybe one hundred percent beaver

1282
01:04:14,040 --> 01:04:16,920
Speaker 3: kind of originally maybe it was, but some people, you know,

1283
01:04:17,000 --> 01:04:18,960
Speaker 3: they kind of there was a little bit of X

1284
01:04:19,000 --> 01:04:22,800
Speaker 3: inflation and uh, some companies they have a thousand X.

1285
01:04:22,800 --> 01:04:24,920
Speaker 3: Maybe that's there one hundred percent. You know, it's just

1286
01:04:25,000 --> 01:04:29,040
Speaker 3: different companies use different standards, so you can't always be sure,

1287
01:04:29,320 --> 01:04:30,160
Speaker 3: but you know, you can.

1288
01:04:30,000 --> 01:04:32,280
Speaker 2: Feel it walk through like we're idiots. What the xes mean?

1289
01:04:32,960 --> 01:04:36,720
Speaker 3: That's the X means? I'm sorry, it's uh, it's it's

1290
01:04:36,800 --> 01:04:40,360
Speaker 3: what percentage. You know, your your hat is beaver, so

1291
01:04:40,680 --> 01:04:44,400
Speaker 3: you know, uh yeah, so a poorer quality one would

1292
01:04:44,400 --> 01:04:46,560
Speaker 3: be maybe a ten x and it would be mostly

1293
01:04:46,600 --> 01:04:50,440
Speaker 3: hair or mostly rabbit, no kid, Yeah.

1294
01:04:50,280 --> 01:04:54,240
Speaker 4: What's the most common other fur that's supplemented in there?

1295
01:04:54,520 --> 01:04:57,040
Speaker 3: I would I would say wool is the most common.

1296
01:04:57,040 --> 01:05:00,240
Speaker 3: And if you if you feel a wool hat, okay,

1297
01:05:01,160 --> 01:05:04,680
Speaker 3: they use like a lamb's wool about it. I don't know,

1298
01:05:04,720 --> 01:05:08,840
Speaker 3: maybe sixteen to seventeen micron that they use. And you know,

1299
01:05:08,920 --> 01:05:10,640
Speaker 3: you look at that hat and you're like, wow, that

1300
01:05:10,720 --> 01:05:13,480
Speaker 3: is the finest cowboy hat you've ever seen. And you

1301
01:05:13,600 --> 01:05:16,680
Speaker 3: take a beaver hat after that, it's it's you can't

1302
01:05:16,680 --> 01:05:19,560
Speaker 3: believe how much better it is. You think that wool

1303
01:05:19,640 --> 01:05:22,439
Speaker 3: hat is just unbelievable characteristic. Does it get Well, it's

1304
01:05:22,480 --> 01:05:24,760
Speaker 3: just a better hand. We use the word hand in

1305
01:05:24,800 --> 01:05:29,040
Speaker 3: the wool business, but it's just it's smoother. It's just

1306
01:05:30,160 --> 01:05:34,600
Speaker 3: it just feels so incredible. The difference between and you know,

1307
01:05:34,640 --> 01:05:37,680
Speaker 3: some beaver is right around twelve microns and you know

1308
01:05:37,720 --> 01:05:40,000
Speaker 3: the wool they're using it's around seventeen, so it's only

1309
01:05:40,040 --> 01:05:44,439
Speaker 3: five microns difference, maybe six microns difference, but it's it's

1310
01:05:44,600 --> 01:05:47,600
Speaker 3: just one hundred percent beaver hat. It's just an unbelievable

1311
01:05:48,000 --> 01:05:51,640
Speaker 3: you know, you when you have one that's one hundred

1312
01:05:51,640 --> 01:05:54,280
Speaker 3: percent beaver, ninety percent beaver, it's you know it.

1313
01:05:54,320 --> 01:05:56,560
Speaker 2: I mean it's so that's a one hundred X hat.

1314
01:05:56,840 --> 01:06:00,240
Speaker 3: Well, it's it's different companies used different you know, there's

1315
01:06:00,280 --> 01:06:02,280
Speaker 3: a little bit of inflation over the years with the X.

1316
01:06:02,400 --> 01:06:04,760
Speaker 2: What do you can you lay out the price difference?

1317
01:06:04,800 --> 01:06:07,919
Speaker 2: I mean it's probably hard brands, but yeah, to buy

1318
01:06:07,920 --> 01:06:10,720
Speaker 2: one hundred percent beaver, you're looking at how like what

1319
01:06:10,840 --> 01:06:13,360
Speaker 2: sort of percent increase over a boat?

1320
01:06:13,400 --> 01:06:16,040
Speaker 3: I would say, you know, you could be at ten times.

1321
01:06:16,080 --> 01:06:18,160
Speaker 3: You know, you could be at eighteen hundred dollars hat

1322
01:06:18,600 --> 01:06:20,800
Speaker 3: versus one hundred and eighty for maybe a ten X.

1323
01:06:21,200 --> 01:06:23,120
Speaker 3: But I don't even know if you can really buy

1324
01:06:23,120 --> 01:06:24,720
Speaker 3: a ten X for one hundred and eighty, So maybe

1325
01:06:24,720 --> 01:06:27,400
Speaker 3: it's less difference, you know. I think, like a really

1326
01:06:27,440 --> 01:06:31,480
Speaker 3: good hat, you know, is fifteen to two, but you

1327
01:06:31,480 --> 01:06:33,640
Speaker 3: could you know, you can spend more than that, so

1328
01:06:33,880 --> 01:06:37,280
Speaker 3: somewhere between five and ten times, you know, But then

1329
01:06:37,320 --> 01:06:38,920
Speaker 3: you know, then you have wool hats, then you have

1330
01:06:38,920 --> 01:06:41,360
Speaker 3: one hundred percent you know, hair hats or rabbit hats,

1331
01:06:42,200 --> 01:06:44,520
Speaker 3: and you know, it's not my business, so but I

1332
01:06:44,600 --> 01:06:46,400
Speaker 3: you know, I know a little bit, you know, a

1333
01:06:46,480 --> 01:06:48,880
Speaker 3: rabbit hat, but it's you know, it's a rabbit fur.

1334
01:06:49,000 --> 01:06:52,800
Speaker 2: Yeah, it's not ears.

1335
01:06:53,320 --> 01:06:54,880
Speaker 3: But it's a nice you know, it's got a nice

1336
01:06:54,920 --> 01:06:56,360
Speaker 3: it's got a nice feel as well.

1337
01:06:56,480 --> 01:07:00,840
Speaker 2: You know. Yeah, Hey, I notice you got a you

1338
01:07:00,840 --> 01:07:02,480
Speaker 2: got yourself a blaze orange wedding ring.

1339
01:07:02,640 --> 01:07:02,880
Speaker 4: I do.

1340
01:07:03,680 --> 01:07:04,720
Speaker 2: He's letting the world know.

1341
01:07:04,800 --> 01:07:05,920
Speaker 4: I'm trying to keep them away.

1342
01:07:06,080 --> 01:07:08,600
Speaker 3: Yeah, the cameras will pick up.

1343
01:07:09,200 --> 01:07:12,040
Speaker 2: I'm taking he's having problems. He's got he's like, I

1344
01:07:12,080 --> 01:07:13,400
Speaker 2: need to get a shiney your wedding ring.

1345
01:07:14,920 --> 01:07:15,560
Speaker 4: No problem.

1346
01:07:16,000 --> 01:07:22,640
Speaker 8: I notice I noticed on your website you list seventeen

1347
01:07:22,720 --> 01:07:25,520
Speaker 8: different pelts here that you offer, and they're all on brand.

1348
01:07:25,600 --> 01:07:27,760
Speaker 8: Like it all it's to be expected, except for one

1349
01:07:27,760 --> 01:07:30,960
Speaker 8: of them, ringtail. What do you do with ringtails?

1350
01:07:31,280 --> 01:07:34,440
Speaker 3: Ah, it's it's a lot of novelty, you know, it's

1351
01:07:34,480 --> 01:07:35,400
Speaker 3: not a it's such a.

1352
01:07:35,320 --> 01:07:37,080
Speaker 8: Small and like what does that get turned into?

1353
01:07:37,160 --> 01:07:37,360
Speaker 4: Though?

1354
01:07:37,600 --> 01:07:37,880
Speaker 5: Oh?

1355
01:07:38,160 --> 01:07:40,360
Speaker 3: People hanging on their wall mostly that's it. But it

1356
01:07:40,400 --> 01:07:42,200
Speaker 3: is a it is a beautiful item. I mean, it's

1357
01:07:42,240 --> 01:07:44,480
Speaker 3: a it's it's it looks like a muskrat belly. It's

1358
01:07:44,560 --> 01:07:46,960
Speaker 3: it's got that. You know. In the fur business, a

1359
01:07:47,000 --> 01:07:51,960
Speaker 3: good color is always blue, okay, And and a ringtail

1360
01:07:52,040 --> 01:07:55,840
Speaker 3: is really blue. You know, the fur underneath is really

1361
01:07:55,840 --> 01:07:57,960
Speaker 3: a color of blue, like a like a muskrat belly

1362
01:07:58,040 --> 01:08:00,520
Speaker 3: is blue. That's always here, like you know, like a raccoon.

1363
01:08:00,560 --> 01:08:02,520
Speaker 3: When it's a good color, it has sort of a

1364
01:08:02,560 --> 01:08:05,000
Speaker 3: shade of blue to a good fur buyer, even even

1365
01:08:05,040 --> 01:08:06,840
Speaker 3: a really good kayak, you know, you you know, we

1366
01:08:07,000 --> 01:08:09,120
Speaker 3: see like kind of blue in that because it's got

1367
01:08:09,120 --> 01:08:12,200
Speaker 3: that that clear, clear look to it. But that's a

1368
01:08:12,320 --> 01:08:14,400
Speaker 3: ringtails does have a beautiful color.

1369
01:08:14,440 --> 01:08:16,880
Speaker 8: And those come in from trappers or hunters.

1370
01:08:16,640 --> 01:08:19,719
Speaker 3: Or trappers trappers. I mean, it's it's a small item

1371
01:08:19,760 --> 01:08:20,480
Speaker 3: in the Southwest.

1372
01:08:20,800 --> 01:08:21,000
Speaker 4: Yeah.

1373
01:08:21,479 --> 01:08:23,960
Speaker 8: What what are like the other most exotic furs that

1374
01:08:24,040 --> 01:08:24,599
Speaker 8: you deal with?

1375
01:08:27,280 --> 01:08:31,000
Speaker 3: I mean, I mean price wise. You know, Western bobcats

1376
01:08:31,000 --> 01:08:33,439
Speaker 3: are certainly, you know, the most exotic, you know, I mean,

1377
01:08:33,479 --> 01:08:35,879
Speaker 3: I mean I'm a fur buyer, so to us, exotic

1378
01:08:35,960 --> 01:08:39,880
Speaker 3: means price. You know, that would be by far. You know,

1379
01:08:40,000 --> 01:08:42,000
Speaker 3: Western bobcat could be one thousand dollars right now.

1380
01:08:42,200 --> 01:08:44,719
Speaker 9: Kirks up. He's like, I'm gonna.

1381
01:08:44,960 --> 01:08:48,639
Speaker 2: I don't sell anything about interest in that, right, right?

1382
01:08:49,640 --> 01:08:50,559
Speaker 2: What do possums go?

1383
01:08:50,640 --> 01:08:50,800
Speaker 4: For?

1384
01:08:51,080 --> 01:08:51,600
Speaker 3: Possums?

1385
01:08:51,680 --> 01:08:52,559
Speaker 2: What are they used for?

1386
01:08:53,920 --> 01:08:54,120
Speaker 3: You know?

1387
01:08:54,479 --> 01:08:54,599
Speaker 7: Uh?

1388
01:08:54,920 --> 01:08:57,360
Speaker 3: They they make innerliners in China out of them, They

1389
01:08:57,439 --> 01:08:59,960
Speaker 3: make trims out of them. You know, we die crazy color.

1390
01:09:00,240 --> 01:09:03,639
Speaker 3: But when you have a mank at that you can

1391
01:09:03,640 --> 01:09:06,360
Speaker 3: buy a ranch mank for you know, twenty five dollars,

1392
01:09:06,360 --> 01:09:09,599
Speaker 3: it's tough to get you know, eight bucks for a possum.

1393
01:09:10,000 --> 01:09:11,760
Speaker 3: And the problem there is, you know, we send it

1394
01:09:11,800 --> 01:09:14,200
Speaker 3: to Cambodia and spend you know, a couple of bucks

1395
01:09:14,240 --> 01:09:17,400
Speaker 3: on shipping and you know three four dollars on dressing.

1396
01:09:17,640 --> 01:09:19,360
Speaker 3: You know, you just you can't. It's not a real

1397
01:09:19,439 --> 01:09:21,200
Speaker 3: viable you know item.

1398
01:09:21,520 --> 01:09:25,919
Speaker 2: And the skunk trade is novelty it.

1399
01:09:25,720 --> 01:09:29,479
Speaker 3: Is the tails are used in you know, the acidics

1400
01:09:29,560 --> 01:09:35,280
Speaker 3: use them some and uh what for hats tails? Yeah?

1401
01:09:36,040 --> 01:09:40,760
Speaker 10: Scroll down on your talking points document. I put a

1402
01:09:40,760 --> 01:09:46,599
Speaker 10: photo in there of a strim, is that right, guy?

1403
01:09:47,000 --> 01:09:48,600
Speaker 3: Yeah?

1404
01:09:48,960 --> 01:09:49,240
Speaker 2: Yeah?

1405
01:09:49,240 --> 01:09:50,479
Speaker 4: How do you throw skunk into that?

1406
01:09:51,120 --> 01:09:53,600
Speaker 3: You know that's there's some magic to do with that.

1407
01:09:53,760 --> 01:09:55,639
Speaker 3: I you know, that's that's a real secret of trade.

1408
01:09:56,320 --> 01:09:56,920
Speaker 4: Yeah.

1409
01:09:57,400 --> 01:10:01,240
Speaker 2: Yeah, so a Hasidic Jews hat might have.

1410
01:10:02,000 --> 01:10:05,000
Speaker 3: It might Yeah, surprised you didn't know that, Steve, They

1411
01:10:05,120 --> 01:10:05,880
Speaker 3: use a lot of tails.

1412
01:10:05,880 --> 01:10:10,000
Speaker 8: Say well, I mean you're subject matter expert in multiple

1413
01:10:10,000 --> 01:10:10,960
Speaker 8: things going on there.

1414
01:10:11,560 --> 01:10:14,080
Speaker 6: What reason of the country has the best coyotes?

1415
01:10:14,840 --> 01:10:16,479
Speaker 3: Uh, you know, like like here is a is a

1416
01:10:16,520 --> 01:10:19,400
Speaker 3: great coyote, you know, and the other thing is like

1417
01:10:19,439 --> 01:10:21,320
Speaker 3: as a fur buyer, you know, we always we always

1418
01:10:21,320 --> 01:10:24,080
Speaker 3: look at quantity, you know, so we put quantity and

1419
01:10:24,120 --> 01:10:27,240
Speaker 3: quality together. And uh, you know the Dakotas, you know,

1420
01:10:27,280 --> 01:10:30,040
Speaker 3: maybe have a few more trappers. That's and it's it's

1421
01:10:30,080 --> 01:10:32,600
Speaker 3: a really good, good coyote. But yeah, and then you

1422
01:10:32,600 --> 01:10:35,479
Speaker 3: know across the border into Canada is a fantastic coyote.

1423
01:10:35,520 --> 01:10:39,280
Speaker 3: You know, just this big the big circle, the Dakotas, Montana, Wyoming,

1424
01:10:39,479 --> 01:10:40,480
Speaker 3: you know, Manitoba.

1425
01:10:40,840 --> 01:10:42,320
Speaker 2: That circle is by far the best.

1426
01:10:42,400 --> 01:10:47,040
Speaker 6: Now, if someone sells like a black coyote, yeah, it's it's.

1427
01:10:46,880 --> 01:10:48,960
Speaker 3: Just it's just novelty, which is not you know, we're

1428
01:10:48,960 --> 01:10:51,320
Speaker 3: not big novelty people. You know, we're we're the fur

1429
01:10:51,360 --> 01:10:55,080
Speaker 3: trade and we do sell some novelty stuff, but that's

1430
01:10:55,080 --> 01:10:56,599
Speaker 3: not really what we're we're doing.

1431
01:10:56,680 --> 01:11:00,640
Speaker 2: Gotcha, why is a bobcat Let's I'm a guy in

1432
01:11:00,680 --> 01:11:04,320
Speaker 2: Texas and you say, bobcast are a thousand bucks, And

1433
01:11:04,360 --> 01:11:08,120
Speaker 2: I'm down in Texas where it's bobcast season year round,

1434
01:11:08,240 --> 01:11:11,519
Speaker 2: there's no bag limit. And I go and my ears

1435
01:11:11,600 --> 01:11:15,000
Speaker 2: perk up. And I'm in South South Texas and my

1436
01:11:15,080 --> 01:11:18,720
Speaker 2: ears perk up, and I'm like, holy cow, is it

1437
01:11:18,760 --> 01:11:22,479
Speaker 2: gonna be a nice Christmas around my house? Why should

1438
01:11:22,520 --> 01:11:23,559
Speaker 2: I not get excited?

1439
01:11:23,760 --> 01:11:26,679
Speaker 3: Because it's it's it's it's almost to the point where

1440
01:11:26,680 --> 01:11:29,200
Speaker 3: it's not even the same animal as far as the

1441
01:11:29,240 --> 01:11:32,640
Speaker 3: fur trade goes. It's like a coyout from you know,

1442
01:11:33,280 --> 01:11:35,960
Speaker 3: it's like a it's like a kyout from Bozemans versus

1443
01:11:35,960 --> 01:11:37,280
Speaker 3: a kyout from you know, Georgia.

1444
01:11:37,280 --> 01:11:40,320
Speaker 2: But put it like like explain it like radiots. Okay,

1445
01:11:41,080 --> 01:11:42,000
Speaker 2: they got spots.

1446
01:11:42,800 --> 01:11:44,800
Speaker 3: Yeah. First first thing is, you know when I talk

1447
01:11:44,840 --> 01:11:47,080
Speaker 3: about blue type, I mean a cat is an item

1448
01:11:47,160 --> 01:11:49,599
Speaker 3: that you really want, you know, you want that white

1449
01:11:49,640 --> 01:11:51,840
Speaker 3: to be white, you want that black to be black,

1450
01:11:52,360 --> 01:11:54,479
Speaker 3: and you want some fur quality, which you know, we're

1451
01:11:54,479 --> 01:11:56,639
Speaker 3: far enough north here, we got some length of the fur.

1452
01:11:57,280 --> 01:11:59,519
Speaker 3: You get to you know, you get to Texas and

1453
01:11:59,560 --> 01:12:02,000
Speaker 3: they are you know, a tenth of the length of

1454
01:12:02,360 --> 01:12:03,960
Speaker 3: at least a fifth of the length of the for

1455
01:12:04,120 --> 01:12:06,840
Speaker 3: they're twenty percent. You know. You know, a cat from

1456
01:12:06,880 --> 01:12:09,559
Speaker 3: here is is darn near as heavy as this coyote,

1457
01:12:09,600 --> 01:12:12,559
Speaker 3: you know. And you know the belly on a cat,

1458
01:12:12,680 --> 01:12:14,720
Speaker 3: you know, is so important. You know, the back has

1459
01:12:14,800 --> 01:12:17,920
Speaker 3: just sold off as scrap, you know what, and sure

1460
01:12:18,120 --> 01:12:20,800
Speaker 3: sure is not using the garment, and so they when

1461
01:12:20,840 --> 01:12:21,400
Speaker 3: you when you have.

1462
01:12:21,479 --> 01:12:23,840
Speaker 2: Oh, I think you're talking about Kyle bobka Boby.

1463
01:12:23,840 --> 01:12:26,519
Speaker 3: Yeah, I got lost. Yeah, So when you go when

1464
01:12:26,520 --> 01:12:28,760
Speaker 3: you have a cat, which we don't have one here,

1465
01:12:29,520 --> 01:12:31,759
Speaker 3: it's so important, you know, the width of the belly,

1466
01:12:31,800 --> 01:12:34,000
Speaker 3: and around here, the width of the belly is typically

1467
01:12:34,120 --> 01:12:37,120
Speaker 3: very big. You know, a Texas belly could be three inches,

1468
01:12:37,240 --> 01:12:39,080
Speaker 3: you know. But in some of the areas, in the

1469
01:12:39,120 --> 01:12:41,120
Speaker 3: high countries of Texas, though, they you know, they still

1470
01:12:41,120 --> 01:12:44,320
Speaker 3: get a pretty u a pretty nice cat, so they

1471
01:12:44,320 --> 01:12:45,840
Speaker 3: have the I mean, I would say in Texas, you

1472
01:12:45,840 --> 01:12:48,519
Speaker 3: could get the stuff over by Louisiana could be worth

1473
01:12:49,200 --> 01:12:52,479
Speaker 3: you know, thirty bucks, and you could get something in

1474
01:12:52,479 --> 01:12:55,559
Speaker 3: the high country in the western part of uh Texas

1475
01:12:55,560 --> 01:12:58,920
Speaker 3: that could be worth five hundred in the same state. Yeah,

1476
01:12:59,000 --> 01:13:01,080
Speaker 3: I mean, of course, Texas is very big state. You know,

1477
01:13:01,160 --> 01:13:04,439
Speaker 3: Montana would not be like that because uh, it's it's

1478
01:13:04,479 --> 01:13:07,080
Speaker 3: a it's a pretty mymnduenous bobcat this whole area.

1479
01:13:07,600 --> 01:13:07,960
Speaker 4: Uh.

1480
01:13:08,080 --> 01:13:10,799
Speaker 2: What's the current state of the white tailed deer skin trade.

1481
01:13:12,040 --> 01:13:13,599
Speaker 3: It's a little better than it was. I would say

1482
01:13:13,640 --> 01:13:16,240
Speaker 3: it's actually a little healthy. The tail business is is

1483
01:13:16,720 --> 01:13:20,000
Speaker 3: very good and the high business, you know tail business. Yeah,

1484
01:13:20,040 --> 01:13:24,400
Speaker 3: they use the fly tying and for uh Hasidic hats too,

1485
01:13:24,439 --> 01:13:25,599
Speaker 3: they yeah.

1486
01:13:25,760 --> 01:13:28,080
Speaker 2: Can I can? I Uh? I want to walk you

1487
01:13:28,160 --> 01:13:29,840
Speaker 2: back to a memory I have and then you maybe

1488
01:13:29,840 --> 01:13:33,679
Speaker 2: you can comment on that memory. I used to sell

1489
01:13:33,880 --> 01:13:36,160
Speaker 2: for at the Ravan of Fur Auction in Michigan.

1490
01:13:36,360 --> 01:13:39,000
Speaker 3: Oh really, no, kidd, Yeah, I buy Michigan. I bought

1491
01:13:39,080 --> 01:13:40,400
Speaker 3: for years. It's my area.

1492
01:13:40,520 --> 01:13:45,280
Speaker 2: That was our local. Yeah sure so, uh, Michigan Travers Association,

1493
01:13:46,560 --> 01:13:50,599
Speaker 2: we're put on this fur auction at Ravan Michigan stuff.

1494
01:13:51,640 --> 01:13:51,960
Speaker 4: Uh.

1495
01:13:52,120 --> 01:13:56,400
Speaker 2: And and they would when you're when you're doing it,

1496
01:13:56,479 --> 01:13:58,360
Speaker 2: just to give you, I'm not I'm gonna tell you

1497
01:13:58,400 --> 01:14:00,400
Speaker 2: something you already know about, gonna tell the list. There's like,

1498
01:14:01,000 --> 01:14:04,600
Speaker 2: let's say you have muskrats. Okay, you're gonna break your

1499
01:14:04,680 --> 01:14:10,719
Speaker 2: muskrats out into four or five categories. Kits Medium's large,

1500
01:14:10,760 --> 01:14:15,240
Speaker 2: you know three damage. Okay, so four categories maybe yeah, yeah,

1501
01:14:15,240 --> 01:14:19,719
Speaker 2: I mean large, medium, kits and smalls maybe kits, smalls damages.

1502
01:14:20,040 --> 01:14:22,799
Speaker 2: But either way the buyer buys. The buyer is buying

1503
01:14:23,360 --> 01:14:28,000
Speaker 2: pretty specifically. Okay, when you do mink, you might have

1504
01:14:28,080 --> 01:14:33,360
Speaker 2: like you sell large males together and then right, and

1505
01:14:33,400 --> 01:14:36,040
Speaker 2: there's a lot of specificity. So they're buying like things

1506
01:14:36,040 --> 01:14:38,360
Speaker 2: that are similar to each other every time it comes through.

1507
01:14:39,400 --> 01:14:43,400
Speaker 2: Deer hides would be that how they ran it in

1508
01:14:43,439 --> 01:14:47,000
Speaker 2: the eighties and early nineties. Deer hides be the first

1509
01:14:47,000 --> 01:14:51,519
Speaker 2: deer hide that went on the table. They would bid

1510
01:14:51,560 --> 01:14:52,839
Speaker 2: on that white tailed.

1511
01:14:52,600 --> 01:14:54,360
Speaker 3: Deer skin, and that's what all of them would bring.

1512
01:14:54,520 --> 01:14:58,240
Speaker 2: And whatever that hide bought, they entered into a contract

1513
01:14:58,400 --> 01:15:01,760
Speaker 2: to buy all deer skins at that price, so they

1514
01:15:01,800 --> 01:15:04,120
Speaker 2: couldn't look at how full of holes it was, how

1515
01:15:04,120 --> 01:15:06,559
Speaker 2: big it was, whether the guy had taken care of

1516
01:15:06,600 --> 01:15:10,200
Speaker 2: it or not. Yeah, guys would be out in the

1517
01:15:10,240 --> 01:15:12,400
Speaker 2: parking lot. I saw it with my own eyes. Guys

1518
01:15:12,439 --> 01:15:14,719
Speaker 2: would be out in the parking lot taking large deer skins,

1519
01:15:14,720 --> 01:15:16,960
Speaker 2: cutting them across the waist, rolling them up and selling

1520
01:15:16,960 --> 01:15:19,760
Speaker 2: them as too. Because the guys weren't able to grade it.

1521
01:15:20,000 --> 01:15:22,400
Speaker 3: Yeah, that's I mean, that's not really the way it is.

1522
01:15:22,479 --> 01:15:24,479
Speaker 3: I mean, you know that way it was. Yeah, that's

1523
01:15:25,200 --> 01:15:27,080
Speaker 3: I mean the guy you're trying to call me a liar. No,

1524
01:15:27,120 --> 01:15:30,600
Speaker 3: I'm just saying that, But I mean that's that's the

1525
01:15:30,640 --> 01:15:33,920
Speaker 3: guys getting hose. Then you know that felt, I mean I.

1526
01:15:33,920 --> 01:15:36,120
Speaker 2: Felt it was a disservice to white tailed deer skins.

1527
01:15:36,160 --> 01:15:38,920
Speaker 3: But you know, a pretty much an adult deer. Okay, fine,

1528
01:15:38,920 --> 01:15:41,439
Speaker 3: you get the occasional buck that's much bigger, but you know,

1529
01:15:41,760 --> 01:15:44,360
Speaker 3: adult deer don't have a lot of variation in size.

1530
01:15:44,360 --> 01:15:46,120
Speaker 3: As long as it's not a fawn. You know, it's

1531
01:15:46,120 --> 01:15:49,880
Speaker 3: typically one price. Michigan happens to be probably the best

1532
01:15:49,880 --> 01:15:53,479
Speaker 3: deer hide in America. What Yeah, yeah, best deer eyes

1533
01:15:53,600 --> 01:15:56,400
Speaker 3: because they aren't affected by they don't must not have

1534
01:15:56,479 --> 01:16:01,240
Speaker 3: much multiple rose air, and they don't have scratch. So

1535
01:16:01,280 --> 01:16:02,360
Speaker 3: it's it's a really right.

1536
01:16:02,360 --> 01:16:03,559
Speaker 2: I didn't grow up around a lot of that.

1537
01:16:03,800 --> 01:16:04,080
Speaker 4: Yeah.

1538
01:16:04,320 --> 01:16:07,000
Speaker 2: It all lives at a place called Doug Durrance Farm.

1539
01:16:07,280 --> 01:16:10,720
Speaker 3: Okay, so you're kind of a Nick, you're kind of

1540
01:16:10,720 --> 01:16:12,679
Speaker 3: a modern day Nick Adams lives there.

1541
01:16:14,600 --> 01:16:16,240
Speaker 2: Yeah, we didn't have a lot of that growing up.

1542
01:16:16,240 --> 01:16:19,960
Speaker 3: Right, So that. Yeah, they're deer hides, degrades of deer skins. Yeah, yeah,

1543
01:16:20,000 --> 01:16:22,639
Speaker 3: Scratches are the biggest thing on a deer. Southern deer,

1544
01:16:22,800 --> 01:16:24,960
Speaker 3: you know, even though some places in the in the South,

1545
01:16:25,000 --> 01:16:26,640
Speaker 3: the deer hiyes are you know, decent size, they've got

1546
01:16:26,680 --> 01:16:27,479
Speaker 3: a lot more scratches.

1547
01:16:28,400 --> 01:16:31,400
Speaker 2: Yeah, scratches on the leather, scratches on the hair, like

1548
01:16:31,439 --> 01:16:32,280
Speaker 2: the hair is damaged.

1549
01:16:32,320 --> 01:16:35,200
Speaker 3: No, the hair is all, you know, disregarded, it's all

1550
01:16:35,240 --> 01:16:37,800
Speaker 3: taken off. You know, hair doesn't mean anything. But they

1551
01:16:38,080 --> 01:16:40,280
Speaker 3: have less hair as well, on those southerns so they

1552
01:16:40,320 --> 01:16:43,640
Speaker 3: have less protection. And but yeah, Michigan hide is like

1553
01:16:43,680 --> 01:16:49,240
Speaker 3: if Wisconsin is you know, you know, seven bucks, Michigan

1554
01:16:49,360 --> 01:16:52,760
Speaker 3: is nine. You know, it's like, what do.

1555
01:16:52,800 --> 01:16:56,800
Speaker 2: They I want to ask you what they're doing with it?

1556
01:16:56,920 --> 01:16:59,800
Speaker 2: What what deer skins go for? Now? What they used

1557
01:17:00,000 --> 01:17:05,240
Speaker 2: white tailed deerskins for today? But this girl who went

1558
01:17:05,280 --> 01:17:09,080
Speaker 2: to high school with she later married this dude who

1559
01:17:09,240 --> 01:17:15,280
Speaker 2: was from Argentina. That's not true. Whereada hell he's from

1560
01:17:15,960 --> 01:17:23,600
Speaker 2: He bought cattle in Patagonia. He was a buyer for

1561
01:17:23,720 --> 01:17:28,160
Speaker 2: like Mercedes, Benz and Cadillac and shit, he bought leather

1562
01:17:28,920 --> 01:17:34,240
Speaker 2: for leather interiors. He went where he bought leather. He

1563
01:17:34,240 --> 01:17:37,120
Speaker 2: would go to places where they did not use barbed wire. Yeah.

1564
01:17:37,200 --> 01:17:38,519
Speaker 3: See, that's that's the same thing.

1565
01:17:38,800 --> 01:17:41,080
Speaker 2: That's why he was always buying. He was always buying

1566
01:17:41,200 --> 01:17:45,920
Speaker 2: cattle hides, cow hides down in Patagonia because they weren't

1567
01:17:46,640 --> 01:17:48,840
Speaker 2: because you couldn't get a big enough piece. They wanted

1568
01:17:48,880 --> 01:17:52,160
Speaker 2: to use whole single pieces. Yeah, barbed wires and brands

1569
01:17:52,200 --> 01:17:55,479
Speaker 2: on interiors. And he would go to these places. He's like,

1570
01:17:55,479 --> 01:17:57,800
Speaker 2: I buy, I basically go where there's no barberarre because

1571
01:17:57,800 --> 01:18:00,479
Speaker 2: I'm trying to find perfect But you know.

1572
01:18:00,640 --> 01:18:02,479
Speaker 3: I mean like the deer skin business. I mean, you

1573
01:18:02,520 --> 01:18:05,040
Speaker 3: brought it up and you want to know about the leather.

1574
01:18:05,280 --> 01:18:07,479
Speaker 3: I mean the thing that's hurt the deer skin business.

1575
01:18:07,680 --> 01:18:11,360
Speaker 3: I mean, really, we're at below prices of ten years ago,

1576
01:18:11,400 --> 01:18:13,360
Speaker 3: when we were much below just a few years ago.

1577
01:18:13,680 --> 01:18:16,559
Speaker 3: I mean, overall, dear skin prices are down there. They're

1578
01:18:16,640 --> 01:18:18,360
Speaker 3: they're up a bit from where they were maybe a

1579
01:18:18,439 --> 01:18:21,400
Speaker 3: couple of years ago, but overall, certainly adjusted for inflation

1580
01:18:21,479 --> 01:18:24,040
Speaker 3: from twenty years ago, they're much cheaper. And you know,

1581
01:18:24,080 --> 01:18:27,040
Speaker 3: the overall reason is something I touched on before, and like,

1582
01:18:27,120 --> 01:18:29,840
Speaker 3: you know, even twenty years ago, all tennis shoes were

1583
01:18:29,840 --> 01:18:32,680
Speaker 3: made of leather, and today you can't hardly find a

1584
01:18:32,680 --> 01:18:35,080
Speaker 3: pair of tennis shoes just made a leather. And so

1585
01:18:35,120 --> 01:18:37,720
Speaker 3: the cowskin business is horrible.

1586
01:18:37,840 --> 01:18:39,679
Speaker 2: The cowskin business is terrible.

1587
01:18:39,840 --> 01:18:43,320
Speaker 3: Yeah, because the sneakers, it's sure, and that's that's a deal.

1588
01:18:43,360 --> 01:18:45,880
Speaker 3: We're large manufacturers. You know. People looked at it, and

1589
01:18:45,920 --> 01:18:47,479
Speaker 3: Nike looked at it and said, hey, you know we

1590
01:18:47,520 --> 01:18:50,160
Speaker 3: want to send, we want to save you know, you know,

1591
01:18:50,280 --> 01:18:52,519
Speaker 3: five bucks a pair of shoes or whatever. And you know,

1592
01:18:52,800 --> 01:18:55,400
Speaker 3: the price of you know, petroleum to go into their

1593
01:18:55,400 --> 01:18:57,680
Speaker 3: shoe just doesn't change. So we're going to use that

1594
01:18:57,760 --> 01:19:00,439
Speaker 3: no matter how fashionable they get. So yeah, when the

1595
01:19:00,520 --> 01:19:02,880
Speaker 3: Chinese consumer kind of came into the market on all

1596
01:19:02,880 --> 01:19:05,120
Speaker 3: these things, it sort of changed the game because now

1597
01:19:05,120 --> 01:19:07,599
Speaker 3: we were you know, if something became popular, became popular

1598
01:19:07,600 --> 01:19:09,840
Speaker 3: with you know a billion and a half people, well

1599
01:19:09,920 --> 01:19:11,320
Speaker 3: you know, it's gonna.

1600
01:19:11,240 --> 01:19:12,160
Speaker 2: Take the price with it.

1601
01:19:12,200 --> 01:19:14,000
Speaker 3: You know. We saw in the early two thousands, we

1602
01:19:14,000 --> 01:19:16,879
Speaker 3: saw all those commodities go crazy. You know, leather, cotton,

1603
01:19:17,200 --> 01:19:19,280
Speaker 3: you know, wool, everything went nuts. You know, when the

1604
01:19:19,320 --> 01:19:21,920
Speaker 3: Chinese consumer entered, and then the reaction was to hey,

1605
01:19:22,000 --> 01:19:24,680
Speaker 3: let's you know, let's just not use those products. So

1606
01:19:24,720 --> 01:19:27,439
Speaker 3: they've so there's been a huge change in what's what's

1607
01:19:27,479 --> 01:19:29,679
Speaker 3: being you know, what the consumer can actually buy.

1608
01:19:29,760 --> 01:19:32,920
Speaker 2: So what would like what products? If you're a dude

1609
01:19:32,960 --> 01:19:37,000
Speaker 2: out wand and around, what products might you look at?

1610
01:19:37,120 --> 01:19:39,559
Speaker 2: And you might be looking at a white tailed deer

1611
01:19:39,640 --> 01:19:41,439
Speaker 2: skin killed by an American?

1612
01:19:41,680 --> 01:19:45,680
Speaker 3: I would say mostly glove business. You know, it's mostly gloves, and.

1613
01:19:45,640 --> 01:19:47,880
Speaker 8: A lot of places offer that trade, like you can

1614
01:19:48,000 --> 01:19:51,280
Speaker 8: trade in you know, ranch gloves. You get ranch gloves for.

1615
01:19:51,400 --> 01:19:52,920
Speaker 2: Yeah, one deer, we do it. We do it.

1616
01:19:53,000 --> 01:19:53,200
Speaker 4: Yeah.

1617
01:19:53,240 --> 01:19:55,160
Speaker 2: When I yeah, when I was a kid, they would

1618
01:19:55,160 --> 01:19:57,000
Speaker 2: do it. And it was the kind where the scene

1619
01:19:57,080 --> 01:19:59,680
Speaker 2: was on the outside, so you didn't have good dexterity

1620
01:20:00,280 --> 01:20:01,880
Speaker 2: and when you when your hand got wet and you

1621
01:20:01,920 --> 01:20:04,320
Speaker 2: pulled out, most insulation was stuck to your.

1622
01:20:04,200 --> 01:20:05,439
Speaker 4: Hands, right right.

1623
01:20:05,520 --> 01:20:07,240
Speaker 3: Well, we tried to have a little better glove now,

1624
01:20:07,280 --> 01:20:09,120
Speaker 3: but but yeah, it was. It was to the point

1625
01:20:09,320 --> 01:20:10,800
Speaker 3: you couldn't even trade a pair of gloves a couple

1626
01:20:10,840 --> 01:20:12,200
Speaker 3: of years ago. It was so cheap.

1627
01:20:12,479 --> 01:20:14,120
Speaker 2: So who are you selling deer skins to?

1628
01:20:14,400 --> 01:20:19,639
Speaker 3: We sell it all to Asia, Yeah, tanned or just no, no, no,

1629
01:20:19,680 --> 01:20:21,920
Speaker 3: everything's just salted. Do you send it with the hair

1630
01:20:21,960 --> 01:20:23,680
Speaker 3: on it? We sent it with the hair on it.

1631
01:20:23,680 --> 01:20:25,479
Speaker 3: As a matter of fact. You know that ship that

1632
01:20:25,560 --> 01:20:30,960
Speaker 3: got well, okay, so we had we had a load

1633
01:20:31,360 --> 01:20:35,120
Speaker 3: delivered to that ship like a day before the cutoff day.

1634
01:20:35,160 --> 01:20:37,080
Speaker 3: So we were like one of the last containers getting

1635
01:20:37,080 --> 01:20:40,000
Speaker 3: on that ship. The day after that ship, I don't know,

1636
01:20:40,040 --> 01:20:41,560
Speaker 3: I don't know the story. The ship in Baltimore that

1637
01:20:41,640 --> 01:20:42,240
Speaker 3: hit the bridge.

1638
01:20:42,479 --> 01:20:44,880
Speaker 2: Oh that ship, that ship hides on it.

1639
01:20:44,960 --> 01:20:48,040
Speaker 3: Yeah, Well, the next day somebody sends me a picture

1640
01:20:48,240 --> 01:20:51,000
Speaker 3: of a TikTok with deer hides floating around with Baltimore.

1641
01:20:51,040 --> 01:20:53,200
Speaker 3: Had my brother lives in Baltimore, and you like went

1642
01:20:53,240 --> 01:20:56,400
Speaker 3: down there and you know, and we were and he

1643
01:20:56,520 --> 01:20:58,559
Speaker 3: was my brother is the one that got the deer

1644
01:20:58,600 --> 01:21:00,600
Speaker 3: heides booked on that load. And we were sure that

1645
01:21:00,640 --> 01:21:02,760
Speaker 3: it was ours because we thought, hey, they only lost

1646
01:21:02,760 --> 01:21:06,200
Speaker 3: two two containers actually fell off the boat and they

1647
01:21:06,320 --> 01:21:08,160
Speaker 3: lost the stuff and we have thought for sure it

1648
01:21:08,240 --> 01:21:10,240
Speaker 3: was ours. And we just found out like three weeks

1649
01:21:10,280 --> 01:21:13,120
Speaker 3: ago that it wasn't ours, So our, it was somebody else.

1650
01:21:13,160 --> 01:21:15,080
Speaker 3: Had deer hides that lost them on that on that ship.

1651
01:21:17,120 --> 01:21:18,200
Speaker 2: White deer skins.

1652
01:21:18,240 --> 01:21:19,479
Speaker 3: They were Canadian. I think.

1653
01:21:21,560 --> 01:21:23,280
Speaker 8: Did your ship make it? It is, it's still city.

1654
01:21:23,520 --> 01:21:26,559
Speaker 3: It got it got re routed and it's going right now.

1655
01:21:26,960 --> 01:21:30,240
Speaker 3: So good luck. Yeah, hopefully they're still they're still fresh enough.

1656
01:21:30,280 --> 01:21:31,840
Speaker 2: Yeah, you do. I highly recommend to you.

1657
01:21:32,000 --> 01:21:33,040
Speaker 3: What do you highly recommend?

1658
01:21:33,160 --> 01:21:36,639
Speaker 2: There's a thing called me Eater's American History, The Long Hunters. Okay,

1659
01:21:36,680 --> 01:21:40,600
Speaker 2: hear me out, Okay, The Long Hunters. It covers Colonial

1660
01:21:40,640 --> 01:21:46,000
Speaker 2: America from seventeen sixty three to seventeen seventy five, and

1661
01:21:46,040 --> 01:21:47,960
Speaker 2: it's the story of the white tailed deer skin trade.

1662
01:21:48,160 --> 01:21:48,439
Speaker 3: Okay.

1663
01:21:49,280 --> 01:21:55,519
Speaker 2: At a point in that audio original, which features the

1664
01:21:55,880 --> 01:21:58,639
Speaker 2: impeccable research of doctor I'm impressed.

1665
01:21:58,680 --> 01:22:01,400
Speaker 5: I will say that I'm serious. We have we have

1666
01:22:02,360 --> 01:22:04,160
Speaker 5: turned up an air today on the bats thing.

1667
01:22:04,280 --> 01:22:09,920
Speaker 2: So yeah, we get into not just deer skins being sold,

1668
01:22:10,000 --> 01:22:12,720
Speaker 2: American deer skins being sold in England. We covered just

1669
01:22:12,760 --> 01:22:17,840
Speaker 2: the ones that were seized by pirates and or privateers

1670
01:22:18,600 --> 01:22:21,800
Speaker 2: and sold as bounty as loot, and we have a

1671
01:22:21,840 --> 01:22:23,400
Speaker 2: shipwreck and a shipwreck.

1672
01:22:23,760 --> 01:22:26,280
Speaker 5: Wow, and those deer skins were covered three years later.

1673
01:22:26,680 --> 01:22:29,960
Speaker 2: Yeah, there's like still the recording. There's reporting in the

1674
01:22:30,000 --> 01:22:33,320
Speaker 2: seventeen hundreds, there's reporting of a shipwreck. Tell the story, Ranel.

1675
01:22:33,600 --> 01:22:36,960
Speaker 5: It was a it was a ship going to Liverpool

1676
01:22:37,280 --> 01:22:40,240
Speaker 5: that had stopped in Ireland and then wrecked in the

1677
01:22:40,280 --> 01:22:45,360
Speaker 5: mouth of a river. And you know there's newspaper articles

1678
01:22:45,400 --> 01:22:48,960
Speaker 5: describing the cargo that was lost. And then three years later,

1679
01:22:49,040 --> 01:22:52,599
Speaker 5: if you're reading these auction announcements for cargoes, come over.

1680
01:22:52,720 --> 01:22:56,280
Speaker 5: There's one that says, you know, there's twenty two hundred

1681
01:22:56,360 --> 01:23:00,800
Speaker 5: or so damn badly damaged deer skins recovery from the

1682
01:23:00,840 --> 01:23:05,800
Speaker 5: containership XYZ that had sunk in the mouth of the

1683
01:23:06,000 --> 01:23:10,919
Speaker 5: whatever river three years prior. So, I mean just almost

1684
01:23:11,040 --> 01:23:14,599
Speaker 5: straight out of the headlines. And fifty years later.

1685
01:23:15,479 --> 01:23:16,560
Speaker 2: Do you know you ever heard of what you know

1686
01:23:16,600 --> 01:23:20,679
Speaker 2: what a privateer is? No, it's a state sanctioned pirate. Okay,

1687
01:23:20,960 --> 01:23:23,680
Speaker 2: So picture like, let's say we hate who do we

1688
01:23:23,680 --> 01:23:28,960
Speaker 2: hate the most? I ran Okay Iron North Dakota. Right now,

1689
01:23:30,240 --> 01:23:33,479
Speaker 2: I'm not like, this isn't like earth breaking, this isn't

1690
01:23:33,520 --> 01:23:35,720
Speaker 2: like news show material. But we're a little you know,

1691
01:23:35,800 --> 01:23:39,160
Speaker 2: things are a little hot right now between us and around.

1692
01:23:39,560 --> 01:23:46,840
Speaker 2: Let's say our government said to a pirate type person,

1693
01:23:47,479 --> 01:23:50,240
Speaker 2: We're like, hey, you can be a pirate basically under

1694
01:23:50,320 --> 01:23:58,240
Speaker 2: license from US. Well, the Hooties state sanctioned. They're like

1695
01:23:58,320 --> 01:24:01,320
Speaker 2: state sanctioned pirates. There's state sanctions that they sort of

1696
01:24:01,400 --> 01:24:04,639
Speaker 2: operate as a criminal enterprise under the flag of Iran,

1697
01:24:05,439 --> 01:24:09,080
Speaker 2: under the support and ban of Iran, armed by Iran.

1698
01:24:09,880 --> 01:24:15,559
Speaker 2: So these privateers, English privateer England would send out these

1699
01:24:15,640 --> 01:24:23,000
Speaker 2: pirates to seize white tailed deer skins leaving where South Carolina.

1700
01:24:23,640 --> 01:24:27,559
Speaker 5: Uh, the English would be seizing skins coming typically out

1701
01:24:27,560 --> 01:24:28,360
Speaker 5: of New Orleans.

1702
01:24:28,760 --> 01:24:30,400
Speaker 2: Yeah, they wouldn't want to seize their own whether.

1703
01:24:30,200 --> 01:24:33,200
Speaker 5: It Yeah, yeah, like French French and yeah, French and

1704
01:24:33,240 --> 01:24:36,040
Speaker 5: Spanish ships sort of coming out of New Orleans. And

1705
01:24:36,080 --> 01:24:40,280
Speaker 5: then there are also some Spanish ships coming out of Florida.

1706
01:24:40,800 --> 01:24:44,280
Speaker 5: But yeah, wece ver And then you'd read that, uh,

1707
01:24:45,000 --> 01:24:49,200
Speaker 5: an English privateer had seized several thousand deer skins from

1708
01:24:49,200 --> 01:24:52,200
Speaker 5: a French privateer that had previously seized them from an

1709
01:24:52,200 --> 01:24:55,800
Speaker 5: English merchant vessel. And so there's this back and forth

1710
01:24:55,840 --> 01:24:58,760
Speaker 5: and then it's like you can view these goods next

1711
01:24:58,840 --> 01:24:59,960
Speaker 5: Sunday down at the dock.

1712
01:25:03,920 --> 01:25:06,160
Speaker 2: I'm gonna tell you one last thing about this thing.

1713
01:25:06,200 --> 01:25:10,760
Speaker 2: You got to read listen to. Uh, you've attended many

1714
01:25:10,800 --> 01:25:12,519
Speaker 2: for auctions. Yeah, I have.

1715
01:25:12,680 --> 01:25:15,840
Speaker 4: Yeah, they had this habit of not a habit.

1716
01:25:15,880 --> 01:25:19,120
Speaker 2: They had a thing like you'd light a candle at

1717
01:25:19,160 --> 01:25:21,680
Speaker 2: a auction. You'd light a candle and bidding added when

1718
01:25:21,680 --> 01:25:25,960
Speaker 2: the candle went out, which leaves a certain level of uncertainty.

1719
01:25:27,120 --> 01:25:29,200
Speaker 2: So if you're thinking, like you're sitting on a good

1720
01:25:29,200 --> 01:25:31,479
Speaker 2: bid in your pocket, right and you're like, well, I'm

1721
01:25:31,520 --> 01:25:34,840
Speaker 2: gonna wait for the last second, there's like an uncertainty

1722
01:25:34,880 --> 01:25:37,240
Speaker 2: about when that candle flicker out, and it makes you

1723
01:25:37,280 --> 01:25:37,920
Speaker 2: get to the point.

1724
01:25:38,280 --> 01:25:40,960
Speaker 8: Right, you've seen this done?

1725
01:25:41,320 --> 01:25:44,000
Speaker 2: No, no, no, it's in. It's in media's American history, the

1726
01:25:44,000 --> 01:25:44,439
Speaker 2: long Hunters.

1727
01:25:44,680 --> 01:25:45,880
Speaker 4: We should light one of them in here.

1728
01:25:52,560 --> 01:25:55,160
Speaker 8: How how easily can you tell the difference between a

1729
01:25:55,240 --> 01:25:57,440
Speaker 8: wild mink and a ranch mink?

1730
01:25:57,560 --> 01:26:01,240
Speaker 3: Great question, it's not even it's it's just natural. I

1731
01:26:01,240 --> 01:26:02,000
Speaker 3: mean you could see.

1732
01:26:02,120 --> 01:26:03,800
Speaker 8: If I was holding it right here, could you tell

1733
01:26:03,800 --> 01:26:05,280
Speaker 8: the difference between absolutely?

1734
01:26:05,360 --> 01:26:06,360
Speaker 3: Yeah, And then would.

1735
01:26:06,120 --> 01:26:07,680
Speaker 9: It be something that we could easily tell it?

1736
01:26:07,960 --> 01:26:10,519
Speaker 3: Just that within within ten minutes I could show show

1737
01:26:10,520 --> 01:26:12,280
Speaker 3: you the difference. First thing is that wild mink is

1738
01:26:12,280 --> 01:26:15,000
Speaker 3: going to be get Oh, it's going to be half

1739
01:26:15,040 --> 01:26:17,800
Speaker 3: as big. So that's that's one thing that's going to

1740
01:26:17,840 --> 01:26:19,080
Speaker 3: tell you and that and the fur is going to

1741
01:26:19,160 --> 01:26:21,799
Speaker 3: be twice as long on a on a wild mink. Okay,

1742
01:26:21,920 --> 01:26:23,920
Speaker 3: you know, h ranch make have been bred over the

1743
01:26:24,000 --> 01:26:26,959
Speaker 3: years to get shorter and shorter to look real velvety.

1744
01:26:27,120 --> 01:26:30,160
Speaker 3: You know, they don't like, for instance, this beaver. The

1745
01:26:30,200 --> 01:26:32,240
Speaker 3: reason a lot of the reason why it looks kind

1746
01:26:32,240 --> 01:26:35,960
Speaker 3: of dishoveled is because you know, it's just its hair is,

1747
01:26:35,960 --> 01:26:37,559
Speaker 3: you know, two inches long. But if you have a

1748
01:26:37,840 --> 01:26:41,599
Speaker 3: if you have a mink that you know, is really short,

1749
01:26:41,640 --> 01:26:43,800
Speaker 3: like a crew cut on a guy, you know, I mean,

1750
01:26:43,800 --> 01:26:46,240
Speaker 3: it's going to stick up all the time. So it looks,

1751
01:26:46,320 --> 01:26:49,280
Speaker 3: you know, really uniform. And uh and and and the

1752
01:26:49,320 --> 01:26:52,559
Speaker 3: whole animal looks really uniform. Even the belly looks almost

1753
01:26:52,840 --> 01:26:55,160
Speaker 3: identical to the back, whereas a wild mink it gets

1754
01:26:55,160 --> 01:26:57,920
Speaker 3: a little shorter. On the belly, it gets noticeably shorter.

1755
01:26:58,120 --> 01:27:01,320
Speaker 3: And yeah, just in a course, colors, you know, ranch

1756
01:27:01,400 --> 01:27:04,680
Speaker 3: mak are probably thirty colors. You know, you can have purples,

1757
01:27:04,800 --> 01:27:05,280
Speaker 3: you know what.

1758
01:27:05,560 --> 01:27:09,160
Speaker 2: Really surely sure see that turkey decoy off your left shoulder,

1759
01:27:09,160 --> 01:27:10,880
Speaker 2: I see it. Yeah, that was made by a guy

1760
01:27:10,960 --> 01:27:14,720
Speaker 2: named Dave Smith. Dave Smith was showing me pictures of

1761
01:27:14,760 --> 01:27:18,320
Speaker 2: these mink he was catching in Oregon. I mean they're

1762
01:27:18,360 --> 01:27:20,840
Speaker 2: like they look like small otters, right, yeah, you know

1763
01:27:20,960 --> 01:27:24,120
Speaker 2: he feels that he was catching escapees.

1764
01:27:24,680 --> 01:27:26,080
Speaker 3: Yeah, if there was a ranch around there, it had

1765
01:27:26,200 --> 01:27:27,599
Speaker 3: you know, we buy we buy a lot of them

1766
01:27:27,600 --> 01:27:29,320
Speaker 3: on the trucks that have been escapees because you know

1767
01:27:29,479 --> 01:27:34,000
Speaker 3: Wisconsin and oh yeah, yeah, immediately you can tell yeah

1768
01:27:34,120 --> 01:27:36,800
Speaker 3: that is big. Yeah, yeah, you'd be able to tell.

1769
01:27:37,320 --> 01:27:39,439
Speaker 3: I mean, every once in a while you have a

1770
01:27:39,560 --> 01:27:43,160
Speaker 3: ranch mank and you know, you handle you know, thousands

1771
01:27:43,160 --> 01:27:44,960
Speaker 3: and thousands, and you're like, you know, it's just a

1772
01:27:45,160 --> 01:27:46,760
Speaker 3: it's just a wild maker is it's a ranch mak.

1773
01:27:46,800 --> 01:27:49,799
Speaker 3: But basically it's just very easy to tell the difference.

1774
01:27:50,560 --> 01:27:52,320
Speaker 3: So I mean, like like a ranch fox. You know

1775
01:27:52,360 --> 01:27:55,439
Speaker 3: the difference you guys have that fox here, A ranch

1776
01:27:55,479 --> 01:27:57,400
Speaker 3: fox is you know three times the size of this

1777
01:27:57,960 --> 01:28:00,639
Speaker 3: it is. Oh yeah, it's bigger than a coyot wow,

1778
01:28:00,680 --> 01:28:02,040
Speaker 3: oh yeah, yeah bigger.

1779
01:28:01,800 --> 01:28:03,360
Speaker 4: Than Why what?

1780
01:28:04,120 --> 01:28:04,320
Speaker 2: Why?

1781
01:28:04,400 --> 01:28:05,599
Speaker 8: Like why do they want them that big?

1782
01:28:06,439 --> 01:28:08,920
Speaker 3: Just because it's you know, easier to work with. You know,

1783
01:28:09,320 --> 01:28:11,280
Speaker 3: they're making trims out of most of the foxes, and

1784
01:28:11,439 --> 01:28:13,240
Speaker 3: you know it's you know, if you're gonna if you're

1785
01:28:13,240 --> 01:28:15,000
Speaker 3: gonna skin an animal, if you're gonna scrape it, you're

1786
01:28:15,000 --> 01:28:16,960
Speaker 3: gonna try it, you're gonna tan it. You'd much rather

1787
01:28:17,040 --> 01:28:19,880
Speaker 3: do one instead of two. You know, it's it's much cheaper.

1788
01:28:19,960 --> 01:28:21,880
Speaker 8: So fox and mink. What else do you buy that

1789
01:28:21,960 --> 01:28:23,320
Speaker 8: comes from a rancher?

1790
01:28:24,720 --> 01:28:29,160
Speaker 3: Oh there's uh Chinese or fin raccoon, but it's really

1791
01:28:29,280 --> 01:28:31,640
Speaker 3: yeah sure, yeah, it looks like it's a little bit

1792
01:28:31,680 --> 01:28:33,720
Speaker 3: like it's really got the fur of a coyote, kind

1793
01:28:33,720 --> 01:28:34,880
Speaker 3: of a little darker.

1794
01:28:35,600 --> 01:28:36,880
Speaker 2: They're raising raccoons.

1795
01:28:37,000 --> 01:28:43,680
Speaker 6: Yeah, sure, head there's no ranch coyotes.

1796
01:28:44,520 --> 01:28:48,360
Speaker 3: Uh no, no ranch that would.

1797
01:28:50,280 --> 01:28:54,400
Speaker 2: This is a huge ranchers, your ranch and what it's a.

1798
01:28:54,320 --> 01:28:56,400
Speaker 5: Big change in direction here. But so this is a

1799
01:28:56,439 --> 01:29:00,960
Speaker 5: family business. Yes, Uh when when you were growing up,

1800
01:29:01,040 --> 01:29:05,360
Speaker 5: I mean, were you trapping things? I mean I'm sort

1801
01:29:05,360 --> 01:29:08,400
Speaker 5: of wondering, like what parts of the process you've had

1802
01:29:08,439 --> 01:29:11,479
Speaker 5: your hands in. I like it, did you ever just

1803
01:29:11,720 --> 01:29:13,519
Speaker 5: learn to trap so that you knew that part of

1804
01:29:13,520 --> 01:29:14,000
Speaker 5: the business.

1805
01:29:14,160 --> 01:29:16,600
Speaker 3: I trapped as a kid because muskrats were worth a

1806
01:29:16,640 --> 01:29:18,519
Speaker 3: lot of money. Yeah, you know, I mean my dad

1807
01:29:18,520 --> 01:29:20,400
Speaker 3: couldn't help me because you know, it was in the

1808
01:29:20,439 --> 01:29:23,040
Speaker 3: middle of first season and you know, it was craziness, sure,

1809
01:29:23,160 --> 01:29:26,720
Speaker 3: and but I bought fur. I think I went on

1810
01:29:26,760 --> 01:29:28,840
Speaker 3: a truck. I had to have a driver. I think

1811
01:29:28,880 --> 01:29:30,880
Speaker 3: I was either fourteen or fifteen when I first went

1812
01:29:30,880 --> 01:29:32,240
Speaker 3: out a truck, out out.

1813
01:29:32,080 --> 01:29:33,799
Speaker 2: Buying to buy for at fourteen.

1814
01:29:33,920 --> 01:29:36,320
Speaker 3: Yeah, yeah, yeah, I had my own I had my

1815
01:29:36,360 --> 01:29:39,000
Speaker 3: own route I had, I had had a driver and

1816
01:29:39,080 --> 01:29:41,439
Speaker 3: we go around to the trappers and and buy fur.

1817
01:29:41,520 --> 01:29:44,160
Speaker 3: And then I bought fur until my first couple of

1818
01:29:44,240 --> 01:29:46,040
Speaker 3: years of college. And then you know, it was kind

1819
01:29:46,040 --> 01:29:48,120
Speaker 3: of eighty seven and the kind of big crash then

1820
01:29:48,520 --> 01:29:51,200
Speaker 3: kind of the European crash, and then I finished my

1821
01:29:51,240 --> 01:29:54,000
Speaker 3: degree and came back in like ninety one.

1822
01:29:54,600 --> 01:29:55,760
Speaker 2: What all degrees did you get?

1823
01:29:56,720 --> 01:29:58,400
Speaker 3: I don't want to. I don't want to say, because

1824
01:29:58,680 --> 01:29:59,960
Speaker 3: we were, you know, knocking.

1825
01:29:59,720 --> 01:30:00,680
Speaker 2: The but.

1826
01:30:03,000 --> 01:30:06,400
Speaker 3: I thought we Yeah, I have a degree in economics.

1827
01:30:06,920 --> 01:30:11,479
Speaker 2: Yeah, Randall's got a PhD Oh, yeah, they can.

1828
01:30:11,479 --> 01:30:13,280
Speaker 3: Tell I don't need one.

1829
01:30:15,120 --> 01:30:16,080
Speaker 5: No one really does.

1830
01:30:19,280 --> 01:30:20,120
Speaker 2: What was going on?

1831
01:30:21,320 --> 01:30:22,200
Speaker 4: What year were you born?

1832
01:30:22,400 --> 01:30:26,080
Speaker 2: I was born in sixty six. My friend Stu Miller,

1833
01:30:26,120 --> 01:30:30,160
Speaker 2: who's a trapper, he uh, he said, every generation has

1834
01:30:30,240 --> 01:30:34,519
Speaker 2: its own fur boom, meaning he calls his fur boom,

1835
01:30:34,560 --> 01:30:36,559
Speaker 2: which is the twenty thirteen fur boom.

1836
01:30:36,800 --> 01:30:39,000
Speaker 4: H he calls it the mini fur boom.

1837
01:30:39,320 --> 01:30:41,400
Speaker 2: And when he says the mini fur boom, he's referring

1838
01:30:41,439 --> 01:30:44,360
Speaker 2: to like the big fur boom, which was seventy eight

1839
01:30:44,400 --> 01:30:47,080
Speaker 2: to eighty two, and then there was another big fur

1840
01:30:47,120 --> 01:30:49,439
Speaker 2: boom in the roaring twenties or you know, you probably

1841
01:30:49,439 --> 01:30:54,840
Speaker 2: know them all. I'm curious about, like what causes that

1842
01:30:54,880 --> 01:30:57,479
Speaker 2: to happen, But let's focus on Let's focus on the two,

1843
01:30:57,920 --> 01:31:01,040
Speaker 2: like what happened in nineteen seven and what happened in

1844
01:31:01,040 --> 01:31:01,960
Speaker 2: twenty thirteen.

1845
01:31:02,640 --> 01:31:04,479
Speaker 3: Well, I guess in seventy eight, you know, it was

1846
01:31:04,560 --> 01:31:07,439
Speaker 3: kind of the European fur boom, and you know the

1847
01:31:07,479 --> 01:31:10,760
Speaker 3: Europeans it was very fashionable to wear wild fur, and

1848
01:31:10,800 --> 01:31:12,360
Speaker 3: you know, you just it was it was it was

1849
01:31:12,400 --> 01:31:14,800
Speaker 3: even unbelievable just to be in the business, you know,

1850
01:31:14,840 --> 01:31:17,519
Speaker 3: I mean, I you know, our factory went from just

1851
01:31:17,560 --> 01:31:20,479
Speaker 3: a few workers to seventy, like you know, overnight. It

1852
01:31:20,600 --> 01:31:23,360
Speaker 3: was just unbelievable. Raccoon prices went from a few bucks

1853
01:31:23,400 --> 01:31:27,160
Speaker 3: to thirty dollars, you know, overnight, and you know, everybody

1854
01:31:27,280 --> 01:31:30,280
Speaker 3: was a trapper, and you know, it was very fashionable

1855
01:31:30,280 --> 01:31:33,720
Speaker 3: and for you know, for and then that that kind

1856
01:31:33,760 --> 01:31:36,479
Speaker 3: of boom kind of lasted a while because you know,

1857
01:31:36,479 --> 01:31:38,280
Speaker 3: it kind of moved around. It went from you know,

1858
01:31:38,320 --> 01:31:40,680
Speaker 3: started in Germany, went to Italy, Spain, you know, and

1859
01:31:40,720 --> 01:31:42,679
Speaker 3: even ended up you know, in America. We were wearing

1860
01:31:42,760 --> 01:31:44,800
Speaker 3: you know, beaver coats in the in the eighties and

1861
01:31:44,800 --> 01:31:48,200
Speaker 3: and raccoon coats, and it was a great thing for

1862
01:31:48,280 --> 01:31:51,639
Speaker 3: that generation because you know, my parents' generation was raised,

1863
01:31:51,680 --> 01:31:55,480
Speaker 3: you know, in the depression, and you know, the retailers,

1864
01:31:55,520 --> 01:31:57,679
Speaker 3: you know, their first thing to sell a coat was, hey,

1865
01:31:57,720 --> 01:31:59,720
Speaker 3: this won't last for two seasons. This will last for

1866
01:32:00,080 --> 01:32:03,800
Speaker 3: two generations, you know, and my parents' generation they love that,

1867
01:32:04,040 --> 01:32:07,439
Speaker 3: you know, and so that was the that was the

1868
01:32:07,479 --> 01:32:09,919
Speaker 3: fur boom of the seventies. It was it was high fashion,

1869
01:32:11,040 --> 01:32:13,680
Speaker 3: and then it was ended, not because it went out

1870
01:32:13,680 --> 01:32:16,679
Speaker 3: of fashion, but because the animal rights activists, mostly in Europe,

1871
01:32:16,720 --> 01:32:19,280
Speaker 3: you know, they really really killed it in Europe, and

1872
01:32:19,320 --> 01:32:23,880
Speaker 3: then you know, kind of lost lost fashion ability, and

1873
01:32:24,000 --> 01:32:27,599
Speaker 3: you know my generation kind of you know, rejected it

1874
01:32:27,640 --> 01:32:30,840
Speaker 3: for the opposite reason, or yeah, for the opposite reason,

1875
01:32:30,960 --> 01:32:33,120
Speaker 3: and that you know, my generation didn't grow up in

1876
01:32:33,160 --> 01:32:35,719
Speaker 3: the depression, and we didn't want something that would last

1877
01:32:35,800 --> 01:32:38,439
Speaker 3: for you know, two generations. You know, we wanted something

1878
01:32:38,439 --> 01:32:41,080
Speaker 3: that would last for you know, a season. We want

1879
01:32:41,120 --> 01:32:44,120
Speaker 3: to buy a new car every year and or every

1880
01:32:44,160 --> 01:32:46,960
Speaker 3: couple of years. And so the first thing that a

1881
01:32:47,000 --> 01:32:49,200
Speaker 3: retailer would say to my generation was, hey, you know,

1882
01:32:49,280 --> 01:32:51,679
Speaker 3: I'll store that coade for you for the next twenty years,

1883
01:32:51,680 --> 01:32:53,760
Speaker 3: you know, and charge one hundred and fifty bucks every year.

1884
01:32:53,880 --> 01:32:56,000
Speaker 3: Retailer was more interested in storing the coat than he

1885
01:32:56,080 --> 01:33:00,000
Speaker 3: was selling it. And so the retailer in the first

1886
01:33:00,120 --> 01:33:03,680
Speaker 3: business all over the western world did the exact opposite

1887
01:33:03,680 --> 01:33:05,720
Speaker 3: of what they should have done to sell, you know.

1888
01:33:05,880 --> 01:33:08,360
Speaker 3: Fer to my generation that I think that has a

1889
01:33:08,400 --> 01:33:10,479
Speaker 3: lot to do. You know what ended it? They didn't

1890
01:33:10,640 --> 01:33:13,800
Speaker 3: keep it going because my generation wants to buy it

1891
01:33:13,800 --> 01:33:15,640
Speaker 3: at Kia. You know, we don't want to buy, you know,

1892
01:33:15,720 --> 01:33:17,920
Speaker 3: stuff that we have to you know, have around for

1893
01:33:17,960 --> 01:33:20,960
Speaker 3: a while, so you know, and it's a perfect thing

1894
01:33:21,000 --> 01:33:23,200
Speaker 3: to throw away, you know, it you know, goes in

1895
01:33:23,240 --> 01:33:25,439
Speaker 3: a landfill, it'll disappear, you know. But that's not the

1896
01:33:25,439 --> 01:33:27,120
Speaker 3: way my generation looked at it. We looked at it

1897
01:33:27,120 --> 01:33:29,400
Speaker 3: as something we had to keep, like grandma did, you know,

1898
01:33:29,479 --> 01:33:31,559
Speaker 3: forever and then give it to her, Give it to

1899
01:33:31,560 --> 01:33:34,360
Speaker 3: her granddaughter, but it was. It was an amazing times.

1900
01:33:34,520 --> 01:33:37,000
Speaker 3: And you know for the next you know, fifteen years

1901
01:33:37,080 --> 01:33:39,040
Speaker 3: or whatever when you bought fur, you know, you listen

1902
01:33:39,080 --> 01:33:41,120
Speaker 3: to that. Let me tell you. I mean, every trapper

1903
01:33:41,120 --> 01:33:42,760
Speaker 3: you know would come to the truck and say, you know,

1904
01:33:43,200 --> 01:33:45,320
Speaker 3: you know, you remember when you know, red fox were

1905
01:33:45,360 --> 01:33:48,320
Speaker 3: ninety dollars and you know, and you know, do you

1906
01:33:48,360 --> 01:33:50,040
Speaker 3: ever think it's going to be like that again? And

1907
01:33:50,400 --> 01:33:52,400
Speaker 3: you know, I wouldn't say that. The next boom, you know,

1908
01:33:52,479 --> 01:33:57,240
Speaker 3: in thirteen or twelve, ten eleven, uh, was you know,

1909
01:33:57,280 --> 01:33:59,160
Speaker 3: a mini fur boom. I mean it was a massive

1910
01:33:59,160 --> 01:34:01,120
Speaker 3: fur boom and it consumed a lot more mink. You know,

1911
01:34:01,320 --> 01:34:07,880
Speaker 3: mink production I think peaked in eighty seven, maybe thirty

1912
01:34:07,880 --> 01:34:10,599
Speaker 3: million mink or something like that, you know, and uh,

1913
01:34:10,880 --> 01:34:12,760
Speaker 3: you know, and in the second peak, you know, the

1914
01:34:12,840 --> 01:34:14,560
Speaker 3: ranch mink peaked at you know, maybe one hundred and

1915
01:34:14,600 --> 01:34:15,040
Speaker 3: thirty million.

1916
01:34:15,120 --> 01:34:16,000
Speaker 2: Who was buying it then?

1917
01:34:16,080 --> 01:34:18,600
Speaker 3: Who was wearing it in in the first boom or

1918
01:34:18,640 --> 01:34:20,479
Speaker 3: the second second In the second boom, it was a

1919
01:34:20,520 --> 01:34:24,920
Speaker 3: lot of Chinese and Russia, Ukraine, but yeah, a lot

1920
01:34:25,000 --> 01:34:26,679
Speaker 3: of a lot of Chinese, a lot of Russians. Russia

1921
01:34:26,760 --> 01:34:29,080
Speaker 3: was you know, huge in the in the in that boom.

1922
01:34:29,240 --> 01:34:31,400
Speaker 2: So all these tariffs and stuff that we got, all

1923
01:34:31,400 --> 01:34:33,720
Speaker 2: this punitive stuff we have against Russia right now has

1924
01:34:33,760 --> 01:34:35,000
Speaker 2: got to be hurting that whole business.

1925
01:34:35,600 --> 01:34:37,599
Speaker 3: It's certainly. I mean just the fact that I mean

1926
01:34:37,680 --> 01:34:39,760
Speaker 3: they can go through China to buy stuff. You know,

1927
01:34:39,760 --> 01:34:41,920
Speaker 3: it's not that big a deal, but they just don't

1928
01:34:41,920 --> 01:34:44,479
Speaker 3: have any money, you know, the rank and file people,

1929
01:34:44,640 --> 01:34:48,040
Speaker 3: and you know the currency. You know, when we started

1930
01:34:48,160 --> 01:34:50,800
Speaker 3: really selling to the Russians, I think we were right

1931
01:34:50,880 --> 01:34:54,679
Speaker 3: at about eight or nine to one to the ruble,

1932
01:34:54,960 --> 01:34:56,559
Speaker 3: and you know, I think right now we're right at

1933
01:34:56,600 --> 01:34:59,400
Speaker 3: one hundred. So it makes it really difficult. You know,

1934
01:34:59,479 --> 01:35:03,400
Speaker 3: it's u almost ten times the price because their currency

1935
01:35:03,600 --> 01:35:05,800
Speaker 3: is worth so much less. Even if we had never

1936
01:35:05,920 --> 01:35:08,080
Speaker 3: changed the price of the fur, so it would be

1937
01:35:08,160 --> 01:35:10,400
Speaker 3: it would cost them ten times as much just because

1938
01:35:10,400 --> 01:35:13,040
Speaker 3: their currency is dropped that much. So, I mean, when

1939
01:35:13,080 --> 01:35:14,880
Speaker 3: they invaded, I think it. I think I had a

1940
01:35:14,880 --> 01:35:17,640
Speaker 3: customer that had some money in Russia, some dollars. I

1941
01:35:17,640 --> 01:35:20,320
Speaker 3: think at one point he on the black market. He

1942
01:35:20,360 --> 01:35:23,439
Speaker 3: traded him at like one sixty or one seventy. You know,

1943
01:35:23,479 --> 01:35:26,160
Speaker 3: I mean it's just worthless, you know. So but it's

1944
01:35:26,240 --> 01:35:28,120
Speaker 3: kind of settled out around one hundred or so.

1945
01:35:28,640 --> 01:35:31,439
Speaker 2: Does your family still go out as grown wald for

1946
01:35:31,680 --> 01:35:34,840
Speaker 2: and buy for from people in parking lots and stuff.

1947
01:35:34,960 --> 01:35:37,600
Speaker 3: Absolutely, I still do it myself. I go all I

1948
01:35:38,080 --> 01:35:41,439
Speaker 3: do mostly Wisconsin. I've done Michigan most of my life.

1949
01:35:41,479 --> 01:35:46,800
Speaker 3: I did it this year up, I do Illinois. Yeah,

1950
01:35:46,840 --> 01:35:50,080
Speaker 3: I go in a truck. My brother does it. Bryce,

1951
01:35:50,160 --> 01:35:52,240
Speaker 3: the guy that I work with, does it. Terry does it.

1952
01:35:52,400 --> 01:35:55,280
Speaker 3: We we have my brother goes. He lives in Baltimore.

1953
01:35:55,320 --> 01:35:59,120
Speaker 3: He does the hole east coast New York state. Yeah,

1954
01:35:59,120 --> 01:36:00,640
Speaker 3: he used to live in Berlin. Used to sell a

1955
01:36:00,680 --> 01:36:03,880
Speaker 3: lot to Russia for US. But yeah, Gary buys all

1956
01:36:03,960 --> 01:36:08,679
Speaker 3: of the southeast and northeast and we go through Missouri.

1957
01:36:08,880 --> 01:36:12,880
Speaker 3: And then we have an office in Winnipeg too, And Bryce,

1958
01:36:13,520 --> 01:36:15,439
Speaker 3: guy that I work with, he runs that office and

1959
01:36:15,479 --> 01:36:17,240
Speaker 3: he buys all through Canada.

1960
01:36:17,280 --> 01:36:17,760
Speaker 8: How have.

1961
01:36:19,720 --> 01:36:23,520
Speaker 5: Like, how has the American trapper changed in your lifetime

1962
01:36:23,880 --> 01:36:26,479
Speaker 5: the guys that you were selling or buying from years

1963
01:36:26,479 --> 01:36:29,920
Speaker 5: ago versus like today and maybe what changes have you seen.

1964
01:36:30,320 --> 01:36:34,240
Speaker 3: Yeah, So we had a guy in our town, Forrest,

1965
01:36:34,280 --> 01:36:36,960
Speaker 3: and that trapped and he was one of the bigger

1966
01:36:37,000 --> 01:36:39,479
Speaker 3: trappers that we had caught probably, and back in the day,

1967
01:36:39,520 --> 01:36:41,920
Speaker 3: guys that were big trappers didn't catch what big trappers

1968
01:36:41,960 --> 01:36:44,960
Speaker 3: do today. They just didn't have the stuff that people

1969
01:36:44,960 --> 01:36:47,120
Speaker 3: have developed over the years to really make a trapper

1970
01:36:47,160 --> 01:36:49,840
Speaker 3: super efficient. Maybe he was a five hundred muskrat guy,

1971
01:36:49,920 --> 01:36:51,679
Speaker 3: you know, which was kind of big back in the day.

1972
01:36:52,520 --> 01:36:55,600
Speaker 3: And you know, my dad told me that, you know,

1973
01:36:56,080 --> 01:36:58,840
Speaker 3: he there was nobody in town besides my dad that

1974
01:36:58,920 --> 01:37:01,439
Speaker 3: knew that he even caught him. You know, he even

1975
01:37:01,520 --> 01:37:03,240
Speaker 3: hit his car, you know when he when he would

1976
01:37:03,240 --> 01:37:05,840
Speaker 3: go to the creeks and trap the muscles competition. Because

1977
01:37:05,840 --> 01:37:08,720
Speaker 3: of competition, he didn't want anybody to know. And they

1978
01:37:08,720 --> 01:37:11,160
Speaker 3: were very silly, big money. It was big money, and

1979
01:37:11,200 --> 01:37:12,959
Speaker 3: you know they could make you know, in the forties.

1980
01:37:13,439 --> 01:37:16,559
Speaker 3: You know, I don't know exactly all the ratios and everything,

1981
01:37:16,640 --> 01:37:18,920
Speaker 3: but you know, you know, trapping in a day, they

1982
01:37:18,960 --> 01:37:21,960
Speaker 3: can make a month's wages, or you know, trapping a week,

1983
01:37:22,000 --> 01:37:24,479
Speaker 3: they could make a year's wages sometimes, you know, especially

1984
01:37:24,520 --> 01:37:26,280
Speaker 3: if they knew how to catch mink as well. You know,

1985
01:37:27,000 --> 01:37:28,840
Speaker 3: they were you know, mink were like forty bucks back

1986
01:37:28,880 --> 01:37:34,639
Speaker 3: in the forties. So so yeah, and even the dealer side,

1987
01:37:34,640 --> 01:37:36,519
Speaker 3: like going on a show like this and telling even

1988
01:37:36,560 --> 01:37:38,200
Speaker 3: some of the stuff I've said today, you know, like

1989
01:37:38,280 --> 01:37:40,280
Speaker 3: we would never have uttered that stuff.

1990
01:37:40,400 --> 01:37:44,000
Speaker 2: Give me an example of what you wouldn't have said, like.

1991
01:37:44,080 --> 01:37:46,680
Speaker 3: Even what we used some of the tales for, you

1992
01:37:46,720 --> 01:37:49,240
Speaker 3: know where that I sell direct in China, where I

1993
01:37:49,280 --> 01:37:52,000
Speaker 3: sell I mean I would broadcast you know, the guys

1994
01:37:52,040 --> 01:37:53,960
Speaker 3: I'm partners with in China. I don't care. You know.

1995
01:37:54,439 --> 01:37:57,880
Speaker 3: Back then, Oh, you wouldn't tell one customer to anybody else.

1996
01:37:58,439 --> 01:38:01,559
Speaker 3: You hid tags if you had customers come to your place.

1997
01:38:02,200 --> 01:38:04,960
Speaker 3: You were so secretive. You would like if you went

1998
01:38:05,040 --> 01:38:07,080
Speaker 3: to you know, to to a big auction, you know,

1999
01:38:07,200 --> 01:38:09,240
Speaker 3: like one of NAFA's auctions or something. You know, you

2000
01:38:09,240 --> 01:38:11,360
Speaker 3: wouldn't talk to your customers. They wouldn't talk to you.

2001
01:38:11,360 --> 01:38:13,920
Speaker 3: You know, you kept it all. Everything was secret. Now

2002
01:38:13,920 --> 01:38:16,280
Speaker 3: we are secretive with basically nothing. We know. We don't

2003
01:38:16,280 --> 01:38:16,639
Speaker 3: even care.

2004
01:38:17,120 --> 01:38:19,160
Speaker 8: You know, did you like that era or not?

2005
01:38:19,960 --> 01:38:23,200
Speaker 3: It was It was definitely a more romantic era, you know,

2006
01:38:23,640 --> 01:38:26,799
Speaker 3: like you bought the skins. It was dominated by people

2007
01:38:27,160 --> 01:38:30,920
Speaker 3: that you know had uh, they had nerves of steale.

2008
01:38:30,960 --> 01:38:34,040
Speaker 3: I'll just say okay, and they would buy. They would

2009
01:38:34,040 --> 01:38:36,960
Speaker 3: fight to buy, and then they would just use their sheer,

2010
01:38:37,439 --> 01:38:39,719
Speaker 3: you know, strength to try to get the most money

2011
01:38:39,720 --> 01:38:41,400
Speaker 3: for it, you know, to make a buck on it.

2012
01:38:41,400 --> 01:38:44,280
Speaker 3: They had low expenses and they just they were gamblers,

2013
01:38:44,320 --> 01:38:46,320
Speaker 3: you know. That's that's who dominated the fur trade. My

2014
01:38:46,400 --> 01:38:48,680
Speaker 3: dad was a you know, he was a you know,

2015
01:38:48,840 --> 01:38:51,160
Speaker 3: math genius, you know, and that's just the type of

2016
01:38:51,200 --> 01:38:54,559
Speaker 3: guy that really was successful, you know, back in the day.

2017
01:38:55,000 --> 01:38:57,400
Speaker 3: And that's not how we run our business at all anymore.

2018
01:38:57,520 --> 01:39:01,120
Speaker 3: It's nothing like that, but that was. It was definitely

2019
01:39:01,160 --> 01:39:05,360
Speaker 3: a wild and uh tumble business dominated by you know,

2020
01:39:05,439 --> 01:39:06,600
Speaker 3: really smart individuals.

2021
01:39:07,240 --> 01:39:10,599
Speaker 6: So you used to buy it math auctions, Yeah, we sure,

2022
01:39:10,680 --> 01:39:11,160
Speaker 6: sure we did.

2023
01:39:11,240 --> 01:39:11,439
Speaker 2: Yeah.

2024
01:39:12,120 --> 01:39:13,639
Speaker 6: Wonder if you bought any of my stuff.

2025
01:39:15,000 --> 01:39:17,480
Speaker 2: I had a couple of top top lot first.

2026
01:39:17,280 --> 01:39:28,479
Speaker 11: Wow, oh boy there, and that sure made a big

2027
01:39:28,520 --> 01:39:30,439
Speaker 11: deal out of it right in his place.

2028
01:39:32,120 --> 01:39:36,160
Speaker 8: Have you knowingly produced any famous firs that were worn

2029
01:39:36,240 --> 01:39:38,360
Speaker 8: by like a first lady or to a red carpet

2030
01:39:38,439 --> 01:39:38,760
Speaker 8: or anything.

2031
01:39:39,240 --> 01:39:41,479
Speaker 3: Yeah, we have. I mean, you know, the guy that

2032
01:39:41,560 --> 01:39:44,160
Speaker 3: made Joe Namas coat when he was on the Super Bowl,

2033
01:39:44,240 --> 01:39:46,120
Speaker 3: that was that was on my customers. I sold in

2034
01:39:46,160 --> 01:39:46,719
Speaker 3: those kyots.

2035
01:39:46,960 --> 01:39:48,080
Speaker 2: Seriously. Yeah, it's great.

2036
01:39:48,160 --> 01:39:50,639
Speaker 3: Yeah, and you know, it's hard to think of something

2037
01:39:50,720 --> 01:39:53,360
Speaker 3: right now. But you know, I mean back in the day,

2038
01:39:53,360 --> 01:39:59,960
Speaker 3: I've had Paris Hilton order from us. Uh what else. Yeah,

2039
01:40:00,120 --> 01:40:02,920
Speaker 3: we've had uh, we've had you know, lots of you know,

2040
01:40:02,960 --> 01:40:04,360
Speaker 3: we and we sell to the you know, all the

2041
01:40:04,400 --> 01:40:06,760
Speaker 3: major brands you know use our stuff or they have

2042
01:40:06,840 --> 01:40:08,360
Speaker 3: you know, some of them don't use for anymore.

2043
01:40:08,360 --> 01:40:11,200
Speaker 8: But yeah, you know you should get that photo of

2044
01:40:11,280 --> 01:40:15,360
Speaker 8: name it in that coat, get like a badge in

2045
01:40:15,360 --> 01:40:15,880
Speaker 8: your office.

2046
01:40:15,960 --> 01:40:17,800
Speaker 3: Right well, I think it's up somewhere.

2047
01:40:17,520 --> 01:40:21,240
Speaker 2: We could use to promote this podcast, right yeah, the

2048
01:40:21,240 --> 01:40:23,240
Speaker 2: man who sold the man who.

2049
01:40:27,880 --> 01:40:31,559
Speaker 8: Uh, this morning, the Dow Jones was down nine hundred points.

2050
01:40:31,640 --> 01:40:34,719
Speaker 8: Is that as far reaching as like changing your raccoon

2051
01:40:34,760 --> 01:40:35,639
Speaker 8: prices this week?

2052
01:40:35,760 --> 01:40:38,479
Speaker 3: Or No, It's not gonna change my prices today. Obviously

2053
01:40:38,479 --> 01:40:41,480
Speaker 3: I'm not buying any right now, but it is definitely

2054
01:40:41,520 --> 01:40:45,479
Speaker 3: something we watch. You know, the economy in China right

2055
01:40:45,520 --> 01:40:49,360
Speaker 3: now is rough. It's it's it's very poor. And you know,

2056
01:40:49,520 --> 01:40:51,760
Speaker 3: the stock market, you know, going up or down five

2057
01:40:51,760 --> 01:40:56,400
Speaker 3: percent in China is not really gonna make the economy

2058
01:40:56,479 --> 01:40:59,000
Speaker 3: that much worse. I mean, there are days where I

2059
01:40:59,040 --> 01:41:01,559
Speaker 3: have been you know a lot more upset when I

2060
01:41:01,560 --> 01:41:03,880
Speaker 3: saw the doal go down, you know, a thousand points,

2061
01:41:04,720 --> 01:41:07,800
Speaker 3: but you know they're not. You know, it's it's not

2062
01:41:07,880 --> 01:41:09,880
Speaker 3: like we're selling one hundred million mank in China. We

2063
01:41:09,960 --> 01:41:12,200
Speaker 3: need to because the economy is just rocket because that

2064
01:41:12,240 --> 01:41:14,360
Speaker 3: was what was going on. I mean, the economy was

2065
01:41:14,400 --> 01:41:18,080
Speaker 3: on fire. You know, people bought a condo in in China.

2066
01:41:18,200 --> 01:41:20,240
Speaker 3: I mean, I had lots of customers. Let me tell

2067
01:41:20,240 --> 01:41:22,400
Speaker 3: you this is you know, this is not untrue at all.

2068
01:41:22,439 --> 01:41:24,720
Speaker 3: They bought their first condo for you know, seventy eight

2069
01:41:24,760 --> 01:41:27,240
Speaker 3: thousand bucks. You know, it was worth three hundred thousand bucks.

2070
01:41:27,240 --> 01:41:29,280
Speaker 3: A couple years later they bought their next one. You know,

2071
01:41:29,320 --> 01:41:31,479
Speaker 3: the next one was you know the five hundred, the million,

2072
01:41:31,520 --> 01:41:34,320
Speaker 3: the million two, the million eight, and you know everybody

2073
01:41:34,360 --> 01:41:36,800
Speaker 3: was doing that in China, and you know, everybody there

2074
01:41:36,840 --> 01:41:39,000
Speaker 3: was the wealth effect. Everybody was rich. Everybody was buying

2075
01:41:39,000 --> 01:41:43,840
Speaker 3: for coats and yeah, it was it was. It was huge.

2076
01:41:43,880 --> 01:41:46,439
Speaker 3: So you know it's really not probably gonna have a

2077
01:41:46,479 --> 01:41:47,920
Speaker 3: ton of effect. But you know, we watch it if

2078
01:41:47,960 --> 01:41:50,600
Speaker 3: we have, you know, too much problems. You know, you know,

2079
01:41:50,680 --> 01:41:53,479
Speaker 3: the cats don't go there, the beaver don't go there.

2080
01:41:54,640 --> 01:41:56,760
Speaker 3: You know that the beaver is an American item kind

2081
01:41:56,800 --> 01:41:58,639
Speaker 3: of as far as the hats, you know, that would

2082
01:41:58,640 --> 01:42:00,840
Speaker 3: be something that you know, we worry about. You know,

2083
01:42:01,040 --> 01:42:05,639
Speaker 3: so if demand starts to deteriorate, it's it'll definitely affect

2084
01:42:05,680 --> 01:42:09,080
Speaker 3: the price. I mean, I'm on the I'm on the

2085
01:42:09,120 --> 01:42:11,960
Speaker 3: phone with China or Bryce Is you know every day,

2086
01:42:12,040 --> 01:42:15,160
Speaker 3: four or five times a day, you know, every morning

2087
01:42:15,160 --> 01:42:16,960
Speaker 3: we wake up with our we chats and you know,

2088
01:42:17,439 --> 01:42:19,519
Speaker 3: we go over them and we talk to our customers.

2089
01:42:19,520 --> 01:42:21,560
Speaker 3: They give us a rundown of what they sold the

2090
01:42:21,640 --> 01:42:24,120
Speaker 3: night before from each each store, and then we go

2091
01:42:24,160 --> 01:42:24,519
Speaker 3: from there.

2092
01:42:24,600 --> 01:42:29,280
Speaker 2: No kid, Yeah, so, uh is fur gonna shine again?

2093
01:42:29,720 --> 01:42:33,000
Speaker 2: As they say in the Charltte has the movie The Mountain, Then.

2094
01:42:33,360 --> 01:42:37,760
Speaker 3: Yeah, I think I think the chance that we have

2095
01:42:38,680 --> 01:42:43,360
Speaker 3: is really with kind of this environmental consciousness that I

2096
01:42:43,640 --> 01:42:46,040
Speaker 3: really do. I think if we can hold out, you

2097
01:42:46,040 --> 01:42:49,960
Speaker 3: know for five years or something, I mean this maink thing, yeah,

2098
01:42:50,000 --> 01:42:53,720
Speaker 3: it'll it'll probably help us. But we've got a new

2099
01:42:53,800 --> 01:42:56,840
Speaker 3: generation of people that are not you know, they're they're

2100
01:42:56,880 --> 01:43:00,439
Speaker 3: conscious consumers, and uh, I think they're to you know,

2101
01:43:00,520 --> 01:43:02,120
Speaker 3: look at what they're buying, and they're not just going

2102
01:43:02,200 --> 01:43:03,920
Speaker 3: to say, well that's a that's a dead animal. They're

2103
01:43:03,960 --> 01:43:07,479
Speaker 3: gonna say, you know, how environmentally friendly is that? And uh,

2104
01:43:07,560 --> 01:43:09,439
Speaker 3: I really do think they they will look at it.

2105
01:43:09,479 --> 01:43:12,680
Speaker 3: I mean, I I mentioned that I live part time

2106
01:43:12,720 --> 01:43:14,759
Speaker 3: in Madison, you know, and it's a very liberal city,

2107
01:43:14,760 --> 01:43:16,880
Speaker 3: you know. But I tell you, when you talk to

2108
01:43:19,640 --> 01:43:22,920
Speaker 3: you know, people in in that sort of scenario, you know,

2109
01:43:22,960 --> 01:43:25,600
Speaker 3: they're very understanding. You know, It's not like it's a

2110
01:43:25,640 --> 01:43:27,960
Speaker 3: hard sell to say, Hey, you know, why don't you

2111
01:43:28,000 --> 01:43:30,360
Speaker 3: buy something that you know it's not going to last

2112
01:43:30,400 --> 01:43:32,400
Speaker 3: for five hundred years in a landfill? You know, why

2113
01:43:32,400 --> 01:43:34,680
Speaker 3: don't you buy something that's not going to produce you know,

2114
01:43:34,840 --> 01:43:38,280
Speaker 3: any uh, you know any you know, residual effect after

2115
01:43:38,360 --> 01:43:41,040
Speaker 3: just a few years. And uh, those those they're they're

2116
01:43:41,080 --> 01:43:41,679
Speaker 3: really open.

2117
01:43:41,520 --> 01:43:44,759
Speaker 2: To that, like it's a renewable material.

2118
01:43:44,920 --> 01:43:47,960
Speaker 3: Sure. Sure, So I think, uh, I think we do

2119
01:43:48,040 --> 01:43:50,479
Speaker 3: have a chance with this generation. Cause, like I said,

2120
01:43:50,520 --> 01:43:53,280
Speaker 3: you know, it's we're we're we're selling a coat right

2121
01:43:53,320 --> 01:43:56,280
Speaker 3: now that that has a rough on it, and we're

2122
01:43:56,320 --> 01:43:58,479
Speaker 3: not taking that tach you know, we're not trying to

2123
01:43:58,479 --> 01:44:01,559
Speaker 3: to sell it to you know, college girls that have

2124
01:44:01,680 --> 01:44:06,280
Speaker 3: really you know, uh, you know, real liberal bents or anything.

2125
01:44:06,360 --> 01:44:08,559
Speaker 3: But you know, certainly I don't think that would be

2126
01:44:08,840 --> 01:44:11,120
Speaker 3: a hard sell to do if you if you really

2127
01:44:11,160 --> 01:44:14,360
Speaker 3: wanted to take that task on, you know, you know,

2128
01:44:14,360 --> 01:44:18,320
Speaker 3: with all natural fibers, so including obviously including fur. So

2129
01:44:18,400 --> 01:44:20,320
Speaker 3: I think it has a chance. I think all natural

2130
01:44:20,320 --> 01:44:23,880
Speaker 3: fibers do. And uh, you know, as as consumers become

2131
01:44:24,120 --> 01:44:27,519
Speaker 3: more conscientious, they'll uh you know, we're you know, they'll

2132
01:44:27,520 --> 01:44:29,479
Speaker 3: they'll they'll they'll look at that, you know. I mean

2133
01:44:29,800 --> 01:44:33,360
Speaker 3: we all used to buy aerosols that depleted the ozone layer,

2134
01:44:33,360 --> 01:44:34,960
Speaker 3: and you know we all figured out a way to switch.

2135
01:44:35,040 --> 01:44:38,920
Speaker 3: So yeah, we'll see what happens. I think the fur

2136
01:44:39,000 --> 01:44:42,120
Speaker 3: business has to realize that you know that animal rights

2137
01:44:42,120 --> 01:44:45,880
Speaker 3: people and environmental people are are you know, different people.

2138
01:44:46,000 --> 01:44:48,280
Speaker 3: You know, it's not the same. Sure it's not. They're

2139
01:44:48,320 --> 01:44:50,519
Speaker 3: not the same. And you know, we have to think

2140
01:44:50,560 --> 01:44:53,479
Speaker 3: of ourselves as being part of this sort of cottage

2141
01:44:53,520 --> 01:44:57,519
Speaker 3: industry that's no no different than somebody raising vegetables on

2142
01:44:57,560 --> 01:45:01,759
Speaker 3: their farm. You know, we're super sustainable, you know, we're

2143
01:45:02,400 --> 01:45:04,800
Speaker 3: you know, I think I think that's the cell that

2144
01:45:04,840 --> 01:45:05,200
Speaker 3: we have.

2145
01:45:05,600 --> 01:45:08,479
Speaker 2: So and you guys will be out the grown walls,

2146
01:45:08,640 --> 01:45:12,400
Speaker 2: the grown balds, sure, grown walls, grown walls will be

2147
01:45:12,439 --> 01:45:15,240
Speaker 2: out buying furthest fall. We certainly will out of people, Uh,

2148
01:45:15,280 --> 01:45:16,439
Speaker 2: out of people find you guys.

2149
01:45:17,280 --> 01:45:20,360
Speaker 3: Yeah, that's that's interesting. Last week I was actually with

2150
01:45:20,360 --> 01:45:23,840
Speaker 3: the conservation officer and uh, I actually had a fish

2151
01:45:23,920 --> 01:45:27,719
Speaker 3: kill on my property that because of a environmental deal,

2152
01:45:28,120 --> 01:45:35,080
Speaker 3: but big cattle shit ended up being that. Yeah. But anyway,

2153
01:45:35,320 --> 01:45:39,960
Speaker 3: uh yeah big Yeah, we're sitting next to the creek.

2154
01:45:40,080 --> 01:45:40,600
Speaker 4: Yeah.

2155
01:45:40,840 --> 01:45:45,080
Speaker 3: The conservation officer was asking me my name and I said,

2156
01:45:45,120 --> 01:45:47,360
Speaker 3: you know, he lives fourteen miles from where where our

2157
01:45:47,360 --> 01:45:49,800
Speaker 3: factory is. And I said to him, I said, but

2158
01:45:49,920 --> 01:45:51,360
Speaker 3: you know, you know who I am, right, you know?

2159
01:45:52,000 --> 01:45:54,639
Speaker 3: And uh he said no, you know And I said, well,

2160
01:45:54,640 --> 01:45:56,120
Speaker 3: he said, you know, we buy fer and he said yeah,

2161
01:45:56,120 --> 01:45:56,679
Speaker 3: he said, I thought.

2162
01:45:56,840 --> 01:45:57,960
Speaker 2: I thought I heard about.

2163
01:45:57,680 --> 01:45:59,439
Speaker 3: Something like that down in forest and you know, which

2164
01:45:59,439 --> 01:46:03,840
Speaker 3: is fourteen was away and he said, I trap and

2165
01:46:03,880 --> 01:46:05,559
Speaker 3: I was looking for a place to sell my stuff,

2166
01:46:05,640 --> 01:46:07,160
Speaker 3: you know. And I'm like, are you kidding me? You know,

2167
01:46:07,200 --> 01:46:09,720
Speaker 3: we are the biggest burbuyer in the world, you know,

2168
01:46:11,200 --> 01:46:13,960
Speaker 3: and you don't know, but that is a little bit

2169
01:46:13,960 --> 01:46:14,320
Speaker 3: of a problem.

2170
01:46:14,320 --> 01:46:14,439
Speaker 2: You know.

2171
01:46:14,439 --> 01:46:17,280
Speaker 3: Obviously, we have a website, we have you know, social media,

2172
01:46:17,320 --> 01:46:19,000
Speaker 3: and we are really big on social media. But you

2173
01:46:19,080 --> 01:46:21,960
Speaker 3: have trappers, and I mean it is not just the

2174
01:46:22,000 --> 01:46:23,760
Speaker 3: odd guy. I mean you have guys that come to

2175
01:46:23,800 --> 01:46:25,680
Speaker 3: the truck and they're just like Wow, you know, I

2176
01:46:26,040 --> 01:46:28,240
Speaker 3: can't believe you guys exist. You know, I started trapping

2177
01:46:28,320 --> 01:46:30,479
Speaker 3: during COVID. I wanted something to do, and you know,

2178
01:46:30,520 --> 01:46:32,280
Speaker 3: I just haven't had any place to sell my stuff

2179
01:46:32,320 --> 01:46:35,000
Speaker 3: for the past three years. And I've been tanning some

2180
01:46:35,080 --> 01:46:37,800
Speaker 3: but I've got skins hanging all over the garage. You know,

2181
01:46:37,840 --> 01:46:40,479
Speaker 3: my wife's sick of them. And you know, I finally,

2182
01:46:40,560 --> 01:46:43,400
Speaker 3: you know, found you guys. But it is really it's

2183
01:46:43,479 --> 01:46:46,680
Speaker 3: really kind of a trapping is kind of popular. I mean,

2184
01:46:46,680 --> 01:46:48,719
Speaker 3: if you want to, you know, you guys are whitetail hunters.

2185
01:46:48,720 --> 01:46:50,839
Speaker 3: If you want to hunt on somebody's property in the Midwest,

2186
01:46:50,880 --> 01:46:53,000
Speaker 3: maybe not so much out here. You know, you tell them, hey,

2187
01:46:53,000 --> 01:46:55,280
Speaker 3: I'll trap the raccoons or I'll trap the coyotes. You know,

2188
01:46:55,439 --> 01:46:57,400
Speaker 3: that's a way to get on their property, you know,

2189
01:46:57,479 --> 01:46:59,120
Speaker 3: to trap white tails. And that's what a lot of

2190
01:46:59,120 --> 01:47:01,400
Speaker 3: these guys do. And you know what to do with

2191
01:47:01,439 --> 01:47:03,400
Speaker 3: your skins. Well, there's there's there's a market for him.

2192
01:47:03,640 --> 01:47:04,840
Speaker 4: Yeah, give them sold man.

2193
01:47:04,920 --> 01:47:05,560
Speaker 3: Yeah.

2194
01:47:05,680 --> 01:47:08,200
Speaker 8: His website has the routes listed, I'm gonna find you

2195
01:47:08,240 --> 01:47:11,320
Speaker 8: this fall. Okay, traded a deer hide for some gloves,

2196
01:47:11,320 --> 01:47:12,599
Speaker 8: all right, all right, sounds good.

2197
01:47:14,600 --> 01:47:15,599
Speaker 2: Thanks for coming on the show.

2198
01:47:15,640 --> 01:47:18,960
Speaker 3: All right, all right, thank you very much. Gfw co

2199
01:47:19,080 --> 01:47:22,080
Speaker 3: o dot com. Do it real slow, g f w

2200
01:47:22,439 --> 01:47:24,679
Speaker 3: co dot com and people can go there to find

2201
01:47:24,720 --> 01:47:28,879
Speaker 3: your routes. Yeah. Yeah, they'll be posted sometime beginning of October,

2202
01:47:29,000 --> 01:47:31,200
Speaker 3: so we'll post them. We buy. We don't really buy

2203
01:47:31,280 --> 01:47:33,160
Speaker 3: routes in the West. You know, there's not enough people

2204
01:47:33,200 --> 01:47:37,160
Speaker 3: to run routes out here. But you know all of Wisconsin,

2205
01:47:37,439 --> 01:47:45,760
Speaker 3: you know, Illinois, Indiana, New York, uh, Nebraska, Missouri, all

2206
01:47:45,920 --> 01:47:48,280
Speaker 3: the whole South, the whole all the states in the southeast,

2207
01:47:48,280 --> 01:47:51,320
Speaker 3: North Carolina, South Carolina. You know, we cover the whole

2208
01:47:51,360 --> 01:47:54,120
Speaker 3: Midwest and the East coast. So so all you.

2209
01:47:54,040 --> 01:47:56,519
Speaker 2: Guys doing raccoon control on your place because you're trying

2210
01:47:56,520 --> 01:47:59,200
Speaker 2: to help turkey numbers or would duck numbers. Yeah, do

2211
01:47:59,240 --> 01:48:01,920
Speaker 2: it in the winter, right during the winter, and call up,

2212
01:48:02,080 --> 01:48:03,720
Speaker 2: call the Gronwald family and.

2213
01:48:03,720 --> 01:48:04,559
Speaker 4: Get down the route.

2214
01:48:04,920 --> 01:48:06,600
Speaker 9: You're gonna get bombarded.

2215
01:48:06,200 --> 01:48:09,960
Speaker 3: Now, right, I hope. So thanks for having me on

2216
01:48:09,960 --> 01:48:10,559
Speaker 3: the show too, man.

2217
01:48:10,560 --> 01:48:12,720
Speaker 2: I appreciate that's great, very educational.

2218
01:48:12,880 --> 01:48:14,080
Speaker 4: Thanks man, I appreciate it.

2219
01:48:19,200 --> 01:48:28,000
Speaker 12: Run the rabbit stuff, rum num rabbits, then.

2220
01:48:28,439 --> 01:48:29,679
Speaker 13: Buster's and lead.

2221
01:48:30,560 --> 01:48:36,000
Speaker 7: He showing off that speed. Run the rabbit stuff.

2222
01:48:40,120 --> 01:48:51,080
Speaker 13: Through the thorns, through the thorns, and Ma, she's close behind.

2223
01:48:51,040 --> 01:48:52,360
Speaker 7: Now with one thing on.

2224
01:48:53,960 --> 01:48:55,960
Speaker 13: Through the thorns.

2225
01:49:01,040 --> 01:49:12,160
Speaker 14: Run and rabstann run rabbits down Skeeter's and packed new.

2226
01:49:12,240 --> 01:49:13,800
Speaker 14: There ain't no turn back.

2227
01:49:14,920 --> 01:49:17,840
Speaker 7: Brown the rabbit stown.

2228
01:49:24,200 --> 01:49:31,639
Speaker 13: Crawls the chili m h crawls, chili creep.

2229
01:49:33,240 --> 01:49:39,920
Speaker 14: Spanky's in the ear, that old rabbit strawn everything crawls chili.

2230
01:49:44,520 --> 01:49:47,200
Speaker 7: So run the rabbit.

2231
01:49:47,000 --> 01:49:56,679
Speaker 14: Style, run the rabbits down shot down to the shorer Niles.

2232
01:49:56,920 --> 01:50:02,519
Speaker 7: Race on the rabbit starn.

2233
01:50:12,280 --> 01:50:26,720
Speaker 12: Choorley's looking Choorley's looking home. He ran his last races home.

2234
01:50:26,720 --> 01:50:35,320
Speaker 7: To a better places, and he says, run and rabbit

2235
01:50:37,760 --> 01:50:40,120
Speaker 3: Down h