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Speaker 1: This is a me eater podcast coming at you, shirtless,

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Speaker 1: severely bug bitten in my case, underwear listening. Don't make

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Speaker 1: you eat your podcast. You can't predict anything there. He

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Speaker 1: is already, did you just do it? He's done. I'll

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Speaker 1: explain what he just did in a minute. But you

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Speaker 1: know what happened to day that was kind of funny

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Speaker 1: is I was flying with a a Muskox tongue, the

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Speaker 1: tongue of a Muscox in a ziploc bag brind and

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Speaker 1: I'm going through t s A in the airport in

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Speaker 1: Seattle and uh, it flags right and they gotta check

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Speaker 1: my bag and you're carrying it. Yeah, I haded my

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Speaker 1: carry on a brind tongue. I mean when you look

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Speaker 1: at you like, that's a tongue in a bag. And

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Speaker 1: she said I need to inspect your bag, and we

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Speaker 1: go over to inspect. Then she says, um, there's an

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Speaker 1: organic mass in this bag. And I made a joke

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Speaker 1: about organic masses. But then it was worried that you

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Speaker 1: think I was hitting on her, and you know what

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Speaker 1: I mean, like, I'm like, oh, you know those organic man,

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Speaker 1: but I left it with an organic mass. She pulled

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Speaker 1: it out and said and it's just a tongue in

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Speaker 1: a bag and she said everybody loves their fish. Yeah, actually,

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Speaker 1: but um yeah, meat sets it off. It does, because yeah,

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Speaker 1: that turkey set it off. Got me in trouble. That

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Speaker 1: wasn't a checked bag, right, Is that what you want?

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Speaker 1: Oh tell that? Because that's interesting about t s A.

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Speaker 1: We a lot of people who write in and asked

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Speaker 1: various questions about how you fly with meat. And I

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Speaker 1: think I've told this story before. We're trying to make short.

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Speaker 1: But yeah, I got called back to security after I'd

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Speaker 1: already gone through and come all the way back through

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Speaker 1: and they're like, yeah, they need seeing the back room

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Speaker 1: about your check baggage. And I go in there and

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Speaker 1: on all the nice Stilens still tables, My big red

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Speaker 1: Duffle is completely you know, taking apart all the pieces

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Speaker 1: of laid out, and I happen to have a whole

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Speaker 1: turkey chopped up in there cold. But there was like

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Speaker 1: a tail fan. I was bringing the wings home for

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Speaker 1: the kids, two breasts, the legs, it's all they're spurs,

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Speaker 1: you know, because the kids want to see all that ship.

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Speaker 1: So I'm like what They're like, well, this set it off,

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Speaker 1: pointing at the turkey breast because again large organic mass.

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Speaker 1: But the reason you get you're in here is because

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Speaker 1: we were in there looking for that. We found a

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Speaker 1: loose shotgun showy, Yeah, loose turkey bullets. And so that's

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Speaker 1: what got me in trouble. But luckily in check backers

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Speaker 1: they don't have to do the whole um check your

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Speaker 1: background and and the and the cop report. But the

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Speaker 1: funny part of it was that it was one of

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Speaker 1: those heavy shot and you hunt turkeys and use heavy shot,

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Speaker 1: you know, it's like you touch the trigger, there goes

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Speaker 1: four or five bucks. And I knew that. In my

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Speaker 1: nice case, I had some like cheap Remingtons stuff. I

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Speaker 1: was like, hey, if you don't mind, instead of taking

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Speaker 1: that one can of swap out, you can take my

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Speaker 1: cheap Remington one a heavy shot back. Yeah, he's like

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Speaker 1: a problem. Banks. You packed it all up and left.

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Speaker 1: Now you just got the problem where you try to

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Speaker 1: go walk onto the plane with amo rounds and you

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Speaker 1: have to talk to the policeman. You know, that's what

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Speaker 1: I had to do before. But it was Embozeman. They

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Speaker 1: were cool. Yeah, it had to be an anchorage and

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Speaker 1: they knew that I wasn't trying to pull a fast one.

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Speaker 1: I had just haunted arm again that day. You know,

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Speaker 1: they're like, yea, yeah, I get a buddy. But here's

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Speaker 1: the deal. Now, we got to act like you're trying

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Speaker 1: to sneak onto the plane with ammunition and go through

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Speaker 1: all the steps, though obviously you're just like you know,

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Speaker 1: every other idiot who comes through here with like bullets

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Speaker 1: in his pockets at the Anchorage airport, but I had

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Speaker 1: to talk to policeman and take some information down. I

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Speaker 1: had a morning at the Anchorage Airport where I was

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Speaker 1: coming back to the States with a blacktail in my backpack,

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Speaker 1: and I remember going through security and the deer's entire

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Speaker 1: head was inside my backpack concealed, but when I went

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Speaker 1: through the X ray machine, they could obviously see inside

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Speaker 1: the backpack and the girl's face behind the machine, and

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Speaker 1: she like looked at her supervisor, and she looked at

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Speaker 1: her coworker, and then she looks at me, and I'm

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Speaker 1: just like, Hey, this Alaska and I'm taking a deer

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Speaker 1: back to Montana. Cool about it, super cool about it.

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Speaker 1: I had a friend that was carrying the antlers one time,

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Speaker 1: and they had a big debate about the antlers, and

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Speaker 1: in the end he was able to bring the antlers

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Speaker 1: on cool. Another debate that they could be a weapon,

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Speaker 1: whether yeah, whether it was weaponized or not. So we're

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Speaker 1: just talking to had a bunch of weird stuff in

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Speaker 1: its fishing vest. Who is that an old man was

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Speaker 1: flying with the fishing vests. I missed that one and

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Speaker 1: he had all kinds of like semi weapon like items

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Speaker 1: and his vest. First he was really confused and they

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Speaker 1: kind of said, like, um, they made him, let's just

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Speaker 1: tell me this. They made him get on the plane

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Speaker 1: and they're like, hey, you put it in the overhead

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Speaker 1: bin and don't mess with it until you get where

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Speaker 1: you're going. But that's gonna stop the flame and get hijacks.

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Speaker 1: But but that's on one day, and you think it's

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Speaker 1: entirely rigid, right, Like there's a set of rules and

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Speaker 1: there's no room for individual interpretation within that. But when

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Speaker 1: Nick Brigden had a set of deer antlers, they debated it,

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Speaker 1: and apparently with this old man, they debated what he

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Speaker 1: had going on in his fishion vest, and there was

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Speaker 1: a level of you know, weighing in on it. But

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Speaker 1: you know, their mandate is looking for hazardous materials that

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Speaker 1: would be hazard justus to the plane and air travel.

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Speaker 1: Like I've heard day like if you you could have

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Speaker 1: other illegal junk in there, and it's not their concern,

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Speaker 1: Like it's not what they're looking for. I had a

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Speaker 1: man I flew recently. I had I had a bag

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Speaker 1: pulled out because I had a big hunkle iron ore

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Speaker 1: in it, and the guys like, I need to look

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Speaker 1: in your bag. I said, yeah, I got a piece

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Speaker 1: of iron ore in are. He goes at getting raw.

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Speaker 1: I'm like, in facts raw iron ore and he let

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Speaker 1: me go. Then I had another time in the last

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Speaker 1: few weeks where I had a mammoth tooth and pulled

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Speaker 1: that out, never even asked what the hell it was.

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Speaker 1: Daved a good looking over sent me on my way,

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Speaker 1: like I feel like you could have like a dude's

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Speaker 1: arm in there. Defeated They it's not their mandate to

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Speaker 1: pull it out, I think, mabe. Depending on the state

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Speaker 1: of decay, they might take you side. Or if you

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Speaker 1: had a hundred dollar bill duct tape to the arm,

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Speaker 1: I'm like, oh, I'll look the other way here, Or

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Speaker 1: if you laid a bag up they had one of

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Speaker 1: those handcuffs. It was still handcuffed and you ran that

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Speaker 1: through the thing. I need to check your bags, sir, um,

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Speaker 1: joined by Chris gil Ridge Pounder. Um, Jeff Sposito, right,

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Speaker 1: kind of Italian? Italian? I wonder if you're more Italian

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Speaker 1: than I am? How many how many grandfi parents are?

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Speaker 1: Do you have an Italian? Just my just my grandfather

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Speaker 1: and my dad's side. But yeah, one grandparent. So I

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Speaker 1: try to like relate to Italian culture. But um, but

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Speaker 1: it's just really hard for me. Yeah, I'm American. Yeah

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Speaker 1: was my last name. Yeah. My allD Man was brought

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Speaker 1: up speaking and he was raised by his grandparents. So

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Speaker 1: he was raised by full on balls out Italians immigrants,

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Speaker 1: was raised to speak Italian in the home. Um. Later

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Speaker 1: in life he moved out to Michigan. Was like it

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Speaker 1: never happened. He wouldn't care about the language. South side

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Speaker 1: of Chicago, right by what was Whiskey Park. So my

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Speaker 1: grandfather lived and grew up in Pittsburgh, but came over

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Speaker 1: same Italian speaking family. His parents never didn't speak in English.

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Speaker 1: Similar similar story. Yeah, he was my dad's like I

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Speaker 1: didn't eat the food, but now and then try to

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Speaker 1: remember a word he was to one of his He

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Speaker 1: had a handful of insults. One of them was that

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Speaker 1: you were a minga la morta. Now, I've asked a

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Speaker 1: lot of Italian speakers like what would that mean? Like,

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Speaker 1: the best I can tell, it's like, uh, you're like

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Speaker 1: a dead dick. He had another insult, which in my

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Speaker 1: mind was was photonomy shako and I've that's many Italians

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Speaker 1: and are like, yeah, I don't know that. That doesn't

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Speaker 1: even sound like I don't know what that just made

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Speaker 1: that up, but that was the Italian words he had. Yeah,

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Speaker 1: I couldn't have cared good to meet you. Yeah. But

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Speaker 1: interestingly enough, just tying off the Italian thing, I just

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Speaker 1: learned my cousin, apparently we have enough Italian in there

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Speaker 1: that you can apply for dual Italian citizenship. I don't

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Speaker 1: know what the laws are really, but yeah, And then

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Speaker 1: I started to ponder what would be the advantages of

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Speaker 1: having this sort of disadvantages. But she, but my cousin,

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Speaker 1: was able to get an Italian dual Italian citizenhip an

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Speaker 1: Italian passport. I don't know what the advantage. I'm not

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Speaker 1: sure either, but it sounds cool, so maybe something to

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Speaker 1: look well, if you wound up in some you know,

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Speaker 1: Mexican jail. You have two embassies that call. You could

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Speaker 1: have like two embassies simon simultaneously working on your behalf.

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Speaker 1: I guess that's an advantage. Yeah, I'm not sure there's

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Speaker 1: an advantage, but there you go. And then Peter Pete, Pete, Pete,

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Speaker 1: who's holding a dog? Shocker? Oh yeah, you got a

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Speaker 1: dog out somewhere right now. Oh yeah, he's tied up outside.

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Speaker 1: Oh he's tied up. He's in the truck. Yeah, we

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Speaker 1: can actually see him from right here. So you're keeping

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Speaker 1: an eye on him. And he would rather be killing

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Speaker 1: house cats cats. I don't mean to say killing house

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Speaker 1: cats cases family friendly. Let's just leave it to the

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Speaker 1: wild ones. Yeah, tell him your last name again. I

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Speaker 1: forgot your lastname. That's not occurring to me right now. Munich,

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Speaker 1: Pete Munich yep. Um, So we got dual things going

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Speaker 1: on here because Chris, you got nothing. Chris is just

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Speaker 1: in town, and I felt and he just rather than

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Speaker 1: being alone in his hotel trying to figure out how

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Speaker 1: to get cable to work or something. Um, Chris is

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Speaker 1: a cameraman that works with us, and you just put

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Speaker 1: in a long hard day. Yeah, I wouldn't say a

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Speaker 1: hard day. It was a fun day. It was a

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Speaker 1: day we weren't climbing ridges or anything. Um, Pete Munich,

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Speaker 1: you do many things, but Rocky Mountain go Tollions explain

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Speaker 1: that real quick. So the rock came out and go

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Speaker 1: to lines is as your child, I guess you could

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Speaker 1: call it my brain child. Yeah. With the help of

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Speaker 1: many talented people along the way, has become the leading

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Speaker 1: conservation organization for rocky mountain goats across North America. Alright,

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Speaker 1: do you have members? We do? Oh? Yeah, Um, it's

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Speaker 1: a it's an animal that doesn't draw. You know, it

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Speaker 1: doesn't have its focus group. Correct? It does now? It

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Speaker 1: does now? It never did have its focus group. Correct.

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Speaker 1: You've read all the books by Duncan Gil Chris, quite

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Speaker 1: a few of them, and his videos. Not many mountain

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Speaker 1: goat writers, but he is, if there are two, I'm

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Speaker 1: guessing he's probably the best. Oh he's he's a pretty

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Speaker 1: he's a legend right there. But the guy that wrote

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Speaker 1: The Beast The Color of Winner, Chadwick not real hunting friendly. No,

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Speaker 1: but nor are his colleagues. But um, but uh an

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Speaker 1: informative book anyway. Yeah, The Beast of Color Winner is

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Speaker 1: an incredible book. Um certainly doesn't highlight hunting in the

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Speaker 1: way that we try to. He's still alive, lives in Montana. Yeah, yeah,

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Speaker 1: he's he's a good guy. He's you know, he Um.

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Speaker 1: I don't know, it's weird because like when you get

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Speaker 1: a researcher, you know, but but they spend a lot

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Speaker 1: of time in proximity the animal. You can kind of

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Speaker 1: go with two directions and you kind of almost felt

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Speaker 1: like this like anthropomorphic kind of relationship, you know. But

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Speaker 1: it's an informative as hell. Yeah, it's incredible. You know,

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Speaker 1: there's not a lot of literature on mountain goats, and

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Speaker 1: certainly not a lot of literature for the general public.

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Speaker 1: So The Basic Color of Winter is a very valuable

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Speaker 1: book to the mountain goat. Yeah. Um. Gilchrist has so

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Speaker 1: many awesome observations. I love that. You know, he's like

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Speaker 1: an astute observer. Accidentally he's an accidental very good writer.

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Speaker 1: When I said that, I mean I think that. I

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Speaker 1: don't think he he set out to try to emulate styles,

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Speaker 1: but he accidentally writes like Hemingway interest in these very

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Speaker 1: like clear declarative sentences. He like says a very true thing,

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Speaker 1: then says a very true thing, then says a very

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Speaker 1: true thing on down the line and winds up having

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Speaker 1: He's like kind of like accidentally beautiful passage. It's kind

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Speaker 1: of hard to argue with a guy like that. Yeah,

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Speaker 1: there's like an authoritative sense. And then Jeff Sposito, Yeah,

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Speaker 1: from Italy, from from dual citizen. Possibly soon Oh you

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Speaker 1: even have a hat. The reason Jeff, he's I want

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Speaker 1: to talk a little bit about um. So we got

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Speaker 1: to kind of like two organizations to two goody two

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Speaker 1: shoe do good or organizations represented here. I've never been

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Speaker 1: called that before that. You actually couldn't get that name.

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Speaker 1: You tried to be the two shoot the Goody two

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Speaker 1: Shoe Alliance, but had to go with the Rocky Mountain.

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Speaker 1: Wasn't able to wasn't able to get it on paper. Yeah,

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Speaker 1: so so right down when you got going on the

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Speaker 1: two percent so so similar to Pete. Thanks to a

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Speaker 1: lot of help. But but we started an organization called

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Speaker 1: two percent for Conservation and UH and really the primary

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Speaker 1: objective is to to help conservation groups UH get help

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Speaker 1: them fund their mission work by bringing industry companies and

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Speaker 1: giving away to get industry companies more involved and at

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Speaker 1: the same time, how how this really came to fruition

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Speaker 1: was understanding that that companies that do get back to

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Speaker 1: conservation deserve recognition for for what they do, uh and

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Speaker 1: and what they contribute, and trying to find a medium

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Speaker 1: or a platform to help them get recognition from consumers

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Speaker 1: for for what they do. For conservation groups. Yeah, so

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Speaker 1: you go on there and you see that that that's there,

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Speaker 1: and you know what you're doing. Now, I look, I

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Speaker 1: don't know if you can even talk about this. Can

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Speaker 1: you talk about like because I see that name and

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Speaker 1: something pops into my mind, can you talk about that?

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Speaker 1: You're not a lot of talk about that. I think

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Speaker 1: we can talk about whatever, whatever everything. It's kind of like,

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Speaker 1: you know, there's what is it one percent for its

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Speaker 1: one percent for the planet. Yeah, and that's uh so

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Speaker 1: one Percent of the Planet is an organization that that

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Speaker 1: was started by of Entinard, who is the founder of Patagonia,

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Speaker 1: and and a fellow named Craig Matthews who wants a

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Speaker 1: fly shop here in West Yellowstone just south of us

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Speaker 1: and uh uh don't quote me on this, but twelve

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Speaker 1: or fifteen years ago they started One Percent for the

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Speaker 1: planet based off the principles of of businesses that make

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Speaker 1: a living on on the planet. Outdoor industry should be

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Speaker 1: given back to UH to environmental causes and protecting the

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Speaker 1: planet and UM and their models. It's been very successful.

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Speaker 1: They have I think over two thousand member businesses now, yeah,

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Speaker 1: and it's all in the in the software outdoor in

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Speaker 1: well it's it's uh, it's very broad. I mean they

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Speaker 1: have food, you know, food organic companies. Cliff Bars is

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Speaker 1: a pretty popular brand name. That's one percent planet number.

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Speaker 1: Remember if you look on the back of every cliff Bar,

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Speaker 1: you there's a little logo. UM. So it's pretty broad.

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Speaker 1: But but a lot of over two thousand I believe,

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Speaker 1: yeah so so yeah, so they we I can't take

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Speaker 1: credit for for inventing that model, but but really looking

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Speaker 1: at what that model has done for environmental UH sustainability

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Speaker 1: type nonprofits and what it's done for businesses like Patagonia

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Speaker 1: who really have a strong reputation with corporate responsibility. We

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Speaker 1: how many businesses, I mean, how many organizations do they backed?

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Speaker 1: You know, they have UH I want to say thirty

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Speaker 1: five hundred different nonprofit environmental they say, or within their network.

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Speaker 1: I mean it's it's broad, it's it's super broad. Yeah.

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Speaker 1: But but yeah, so that's kind of what our model

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Speaker 1: is built off of. We looked at the opportunity to

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Speaker 1: kind of leverage that and hunting and fishing conservation, and

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Speaker 1: it made a lot of sense the more we learned

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Speaker 1: about how one percent of the planet structured and what

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Speaker 1: they do. Um and that's kind of what started us

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Speaker 1: down the path with two percent of conservation. So what

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Speaker 1: do you got to do now? Like it's pretty brand

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Speaker 1: spigty new. Yeah, we gotta we got everything to do. Yeah,

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Speaker 1: we uh to this point. So we've been working on

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Speaker 1: on getting this going for about the last two years,

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Speaker 1: really doing all the back and stuff, getting the r

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Speaker 1: S determination for five of m C three status, getting

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Speaker 1: some startup funding money, working with some uh some conservation

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Speaker 1: groups and some businesses to really get feedback and involve

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Speaker 1: the model, make sure we're going on the right path.

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Speaker 1: And when you say startup money, what do you mean,

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Speaker 1: like you needed money just to get like the legal

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Speaker 1: stuff taking care of. Gotta get the legal stuff taken

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Speaker 1: care of, got to build a website, got to create

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Speaker 1: a brand. Who got to go out and market the

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Speaker 1: brand and build value so, so who pays for that?

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Speaker 1: Do do the did did the groups that you're gonna

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Speaker 1: eventually support pay for it as an investment for the

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Speaker 1: backing they might get down the road or did you

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Speaker 1: have people who are participating the program help so so

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Speaker 1: so a little bit of both. But yeah, my our

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Speaker 1: first approach was to go to some conservation groups that

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Speaker 1: I'm fortunate to have a relationship with the first one

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Speaker 1: I went to was a Wild che Foundation, And yeah,

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Speaker 1: it was exactly that conversation and hey, what do you

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Speaker 1: think of this model? Is pretty open, casual conversation. This

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Speaker 1: is an idea we have when we think that if

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Speaker 1: it's successful, it could it could help raise more money

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Speaker 1: for groups like yourself. Uh, and I need some money.

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Speaker 1: But to get it going, we need we need some money.

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Speaker 1: So they had they took a leap of faith. They

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Speaker 1: believe in the model, and they said, yeah, I think

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Speaker 1: that this just can impact us long term, can impact

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Speaker 1: conservation as a whole long term, which is which is

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Speaker 1: it just as important. So they were willing to invest

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Speaker 1: some money to in in the form of a grant

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Speaker 1: to get it off the ground. Did that come with

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Speaker 1: stipulation that you're gonna have to pay them back. No, no,

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Speaker 1: no strings they took faith. Yeah, no strings attached. How

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Speaker 1: many uh are you guys? Is it launched? Like? Could

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Speaker 1: I expect to go somewhere and go and be like,

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Speaker 1: oh two percent for conservation? So we yeah you can.

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Speaker 1: So we turned the website on for lack of a

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Speaker 1: better term, about ten days ago. Yeah, okay, so the

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Speaker 1: website's live. It's it's fishing wildlife dot org or two

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Speaker 1: percent conservation dot org. Get you there too, So we

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Speaker 1: have a website. I gotta put in a little percentage.

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Speaker 1: You can't buy domain names and simuls two all written out,

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Speaker 1: but yeah t w oh yeah, but fishing wildlife dot org.

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Speaker 1: The problem with hunter eat No, we're into the problem.

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Speaker 1: Someone else had already taken the numeral. Who is that?

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Speaker 1: Just some jackass? Same way some jackass owns meat eater

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Speaker 1: dot com. Did you try to buy it? The guys

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Speaker 1: owns meteor dot com now and then puts up a

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Speaker 1: picture of some dinner he ate in the restaurant. You

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Speaker 1: reach out to him. We drive. We haven't tried yet.

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Speaker 1: We don't have those kind of pockets yet. Have you

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Speaker 1: even approached the game? Oh yeah we did, No, Yeah,

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Speaker 1: we just sent just an email to saying, hey, we'd

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Speaker 1: love to have that name. I don't think you ever

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Speaker 1: got back to you any It's funny, not a hunting thing.

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Speaker 1: It's it's the same thing. He's like, oh yeah, looking

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Speaker 1: for a restaurant. He's hunting for a restaurant. Yeah. Be

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Speaker 1: like he's going to be like, I'll go by going

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Speaker 1: out to eat or I'll buy trying to find a

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Speaker 1: good restaurant dot com. And then you give me the

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Speaker 1: one you have because you obviously have the wrong one

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Speaker 1: because that's going out to dinner. That's funny, Yeah, out

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Speaker 1: to dinner. It would be a better at one for him.

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Speaker 1: There's so many stories, and this is the right group

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Speaker 1: of guys to know them all. But there's so many

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Speaker 1: stories about like people right when domain names, you know,

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Speaker 1: the domain name buying games, like people who like, yeah,

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Speaker 1: you know, he might want to be in the big

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Speaker 1: name in politics. Someday I'm gonna go buy his name.

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Speaker 1: You almost like, go get my kids names now in

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Speaker 1: case everyone have like a you know, if he comes

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Speaker 1: like a tree trimmer and wants to have like his name.

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Speaker 1: Uh So, speaking of that, but we were pretty fortunate

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Speaker 1: to uh I play the domain game. No, we got

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Speaker 1: fish and Wildlife dot org, which is nobody had that,

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Speaker 1: and I think somebody lapsed on it. And I was

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Speaker 1: on Go Daddy late at night one time when trying

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Speaker 1: to find fish and wildlife dot org no, and I

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Speaker 1: was putting in a whole bunch of random domain names

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Speaker 1: and Go Daddy and it's like, I don't even know

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Speaker 1: how I came to fish and wild life dot org

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Speaker 1: but put it in. It was like available hunter Bucks

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Speaker 1: and I was like, ham, that's kind of expensive, and

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Speaker 1: moved on to like search of other domains. And the

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Speaker 1: next morning I woke up and like texting one of

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Speaker 1: my buddies that's helped me with this, and I was like,

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Speaker 1: fishing wildife dot organs availables, Like you bought it, right,

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Speaker 1: And I was like no, he's like, dude, you're a moron. Yeah. Man,

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Speaker 1: So so we bought that domain name and that's what

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Speaker 1: we're using to promote the platform A two percent for conservation.

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Speaker 1: I figured if it doesn't work out, maybe we could

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Speaker 1: sell it domain name and somebody needs it. Yeah, now

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Speaker 1: the people know al right, so you launched ten days ago, Yeah,

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Speaker 1: who are your benefactors? So to mean who would you okay,

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Speaker 1: you aggregate the two percents? No? No? So yeah, So

396
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Speaker 1: so I don't know. I don't I wouldn't say benefactors

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Speaker 1: the word I would use, but I think that's appropriate.

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Speaker 1: So we aren't taking the money from companies that they're

399
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Speaker 1: giving back to conservation. Essentially, what our organization does a

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Speaker 1: certify that a company does meet certain criteria. Oh, I

401
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Speaker 1: got you. So so that is a common misconception I've

402
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Speaker 1: had with businesses. And but this is really what the

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Speaker 1: sending one percent of sales? Uh? But but to your point,

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Speaker 1: So this was an interesting learning that I had from

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Speaker 1: one percent for the planet, right, That's what I thought

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Speaker 1: when I started studying the model too. I was like,

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Speaker 1: huh so, how the hell are you going to distribute

408
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Speaker 1: those funds? How are you getting these companies to write

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Speaker 1: your check for one percent of sales? And and uh

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Speaker 1: and and I learned that No, that's not how it works.

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Speaker 1: I mean the companies, and this is a huge benefit

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Speaker 1: of the model, are empowered to work with the conservation groups.

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Speaker 1: They want to what what are you passionate about as

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Speaker 1: a company, who do you want to support or you

415
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Speaker 1: want to support the Rocky Mountain? Go to alliance back

416
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Speaker 1: country owners and anglers. We don't we don't care as

417
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Speaker 1: long as they are pro hunting and fishing conservation groups.

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Speaker 1: We just certify. Okay, did you contribute one percent of

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Speaker 1: sales to that and then one percent in your time?

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Speaker 1: So so I guess we should clarify that first it's

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Speaker 1: two percent for conservation. Is one percent of sales plus

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Speaker 1: one percent of time equals two percent for conservation. But

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Speaker 1: let's say they turned around, they're like, oh, yeah, we

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Speaker 1: gave it all the Humane Society r H s U S. Right.

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Speaker 1: Would you then say, well, that don't county of course.

426
00:23:41,880 --> 00:23:43,359
Speaker 1: So that's so that's part of what we do from

427
00:23:43,400 --> 00:23:46,880
Speaker 1: the certification is just we look at the criteria of Okay,

428
00:23:46,880 --> 00:23:49,480
Speaker 1: who would you who would you contribute funds to? Who

429
00:23:49,520 --> 00:23:52,440
Speaker 1: are those organizations? Make sure we have we have four

430
00:23:52,560 --> 00:23:55,400
Speaker 1: kind of bullet points for lack of a better term,

431
00:23:55,480 --> 00:23:58,640
Speaker 1: that kind of define conservation groups in our mind. Those

432
00:23:58,680 --> 00:24:02,240
Speaker 1: are the obvious and wildlife and habitat improvement, right, that's

433
00:24:02,280 --> 00:24:04,959
Speaker 1: kind of the most common one. Access and Opportunities one

434
00:24:04,960 --> 00:24:08,439
Speaker 1: of them which is hugely important wildlife and have to

435
00:24:08,640 --> 00:24:12,879
Speaker 1: be research and everything. That's research everything. Ye, um, what

436
00:24:12,920 --> 00:24:15,199
Speaker 1: are there are to education and outreach. So this is

437
00:24:15,560 --> 00:24:19,120
Speaker 1: teaching kids about conservation, about hunting and fishing, about how

438
00:24:19,160 --> 00:24:23,520
Speaker 1: it works. And then uh, hell's the fourth one? I say,

439
00:24:23,560 --> 00:24:26,760
Speaker 1: access an opportunity. Have to pull up the website to

440
00:24:26,760 --> 00:24:31,520
Speaker 1: figure out the fourth one wildlife habitat, access, opportunity, education, outreach.

441
00:24:32,359 --> 00:24:35,600
Speaker 1: Come on, man, good thing the website which which thinks

442
00:24:35,600 --> 00:24:38,639
Speaker 1: about all that? Chris, I'm into it, man, Like in

443
00:24:38,680 --> 00:24:43,040
Speaker 1: what way? Well, I'd like the like for the one

444
00:24:43,080 --> 00:24:46,560
Speaker 1: percent for the planet model that you're talking about, right,

445
00:24:46,640 --> 00:24:50,680
Speaker 1: Like I will as a consumer, and like a lot

446
00:24:50,720 --> 00:24:53,119
Speaker 1: of people I know will consciously go out and buy

447
00:24:53,960 --> 00:24:58,080
Speaker 1: products from brands that followed that model. Makes it feel

448
00:24:58,080 --> 00:24:59,560
Speaker 1: a little bit better, Yeah, it makes you feel good

449
00:24:59,560 --> 00:25:01,960
Speaker 1: about it. So like, if you're into hunting and fishing

450
00:25:01,960 --> 00:25:05,160
Speaker 1: and you don't really have like an outlet to donate

451
00:25:05,200 --> 00:25:07,280
Speaker 1: your money, like you're not gonna you know, or if

452
00:25:07,280 --> 00:25:09,200
Speaker 1: you're just some dude that works at a ski shop

453
00:25:09,280 --> 00:25:11,000
Speaker 1: or something or a fly shop, you're not gonna like

454
00:25:11,000 --> 00:25:14,800
Speaker 1: write a check to ex conservation group for whatever. But

455
00:25:14,960 --> 00:25:17,520
Speaker 1: if you go and buy a new jacket from whatever

456
00:25:17,600 --> 00:25:19,800
Speaker 1: company and you're like, oh, part of that went to

457
00:25:20,840 --> 00:25:25,080
Speaker 1: you know, funding conservation programs. You feel good about it. Chris,

458
00:25:25,160 --> 00:25:27,040
Speaker 1: is just safe say like you weren't like a big,

459
00:25:27,160 --> 00:25:30,639
Speaker 1: full balls hunting guy. No, man, no, it's safe to

460
00:25:30,680 --> 00:25:33,960
Speaker 1: say that I didn't. I never was. No, no, no,

461
00:25:34,000 --> 00:25:36,080
Speaker 1: he liked the angle. Yeah, I was an angler still

462
00:25:36,119 --> 00:25:39,200
Speaker 1: am what's your what was your angling back? I'm going

463
00:25:39,240 --> 00:25:40,800
Speaker 1: towards a question I have for you, But what's your

464
00:25:40,840 --> 00:25:44,840
Speaker 1: angland background? Well, same as mine, grew up in Michigan. Yeah,

465
00:25:45,000 --> 00:25:48,000
Speaker 1: a lot of like, you know, whatever's hitting a lot

466
00:25:48,040 --> 00:25:54,840
Speaker 1: of pipe whatever is you know, you guys go chase

467
00:25:54,880 --> 00:25:58,320
Speaker 1: the wild steelhead. We chase the steelhead. Oh yeah, I'm

468
00:25:58,680 --> 00:26:02,800
Speaker 1: sans fire rod though. Yeah, it was always drifting spawn

469
00:26:02,960 --> 00:26:05,560
Speaker 1: or waxworms. But do we fly fish for steel? But

470
00:26:05,800 --> 00:26:08,880
Speaker 1: we didn't really see that fly gear? Yeah, just fly

471
00:26:09,160 --> 00:26:11,640
Speaker 1: gear or just run running line and we with it's

472
00:26:11,640 --> 00:26:16,119
Speaker 1: a brand like Amnesia and run split shot in the

473
00:26:16,200 --> 00:26:18,960
Speaker 1: eighteen yars Leader and yes we'll fly on it. But

474
00:26:18,960 --> 00:26:20,600
Speaker 1: a lot of the spinning techle guys are running the

475
00:26:20,640 --> 00:26:23,159
Speaker 1: yarnball same thing. Yeah, you know you're hooking fish off

476
00:26:23,200 --> 00:26:25,440
Speaker 1: from under your boots all the time because you're just

477
00:26:25,480 --> 00:26:27,800
Speaker 1: staying on the edge of those deep assholes and runs

478
00:26:27,840 --> 00:26:29,560
Speaker 1: and just running it through there and act like your

479
00:26:29,560 --> 00:26:31,440
Speaker 1: fly fish, and it's like you could have put a

480
00:26:31,440 --> 00:26:33,720
Speaker 1: spinning reel on. And some guys get like high mighty

481
00:26:33,760 --> 00:26:35,840
Speaker 1: about it and they're like, oh no, I'm a fly guy.

482
00:26:35,840 --> 00:26:37,800
Speaker 1: I'm like, dude, we're essentially fishing the same gear and

483
00:26:38,119 --> 00:26:40,840
Speaker 1: a shamano reel. You have a sims like to today.

484
00:26:41,080 --> 00:26:42,840
Speaker 1: I saw sticking out of here in Bosman. I saw

485
00:26:42,920 --> 00:26:44,800
Speaker 1: sticking out of the back of a truck a rod

486
00:26:44,880 --> 00:26:48,680
Speaker 1: tipping a bober. Yeah. I'm like, what's funny, guys, what

487
00:26:48,760 --> 00:26:51,119
Speaker 1: the hell's the bobber fishing for? Right now? Bluegills? It's like,

488
00:26:51,160 --> 00:26:53,239
Speaker 1: just no bluegills on the beds around here. Anything There

489
00:26:53,400 --> 00:26:56,880
Speaker 1: is a fly rod with the strike in yeah, but yeah,

490
00:26:57,040 --> 00:27:01,480
Speaker 1: strike in bober. They've been selling those for a long time.

491
00:27:03,040 --> 00:27:05,080
Speaker 1: We had this conversation before. It was like it's a

492
00:27:05,160 --> 00:27:08,359
Speaker 1: strike indicator, you know. And I said before, like, yeah, well, okay,

493
00:27:08,440 --> 00:27:12,640
Speaker 1: so my kid uses one of those to indicate strikes.

494
00:27:12,960 --> 00:27:15,440
Speaker 1: What we call it is a bomber. That's what I

495
00:27:15,520 --> 00:27:17,560
Speaker 1: call it. Man. You know what used to really mess

496
00:27:17,640 --> 00:27:20,000
Speaker 1: up my client's heads when those when those what they

497
00:27:20,040 --> 00:27:24,760
Speaker 1: called uh thing about bobber's rights fisherman. The guy came out.

498
00:27:25,119 --> 00:27:26,600
Speaker 1: There's a guy that makes a product called a thing

499
00:27:26,960 --> 00:27:29,920
Speaker 1: bob which is a bomber. Yeah, it's a strike indicator

500
00:27:30,160 --> 00:27:32,720
Speaker 1: that looks like a bobber. It doesn't. It's like a

501
00:27:32,760 --> 00:27:37,359
Speaker 1: plastic It doesn't look like I have that. Is it

502
00:27:37,440 --> 00:27:40,119
Speaker 1: a plastic sphere? No, it's not plastic. It's like a

503
00:27:40,240 --> 00:27:44,080
Speaker 1: soft umlass. Its soft plastic has air and it but

504
00:27:44,080 --> 00:27:46,800
Speaker 1: it's completely sealed and it doesn't have a little uh

505
00:27:47,320 --> 00:27:49,800
Speaker 1: what do you call spring spring in the spring home?

506
00:27:50,280 --> 00:27:52,720
Speaker 1: You know, you gotta basically double up your leader, stick

507
00:27:52,760 --> 00:27:55,360
Speaker 1: it through the whole flip flip the leader over bull

508
00:27:55,480 --> 00:27:58,560
Speaker 1: tight you know that sounds like a breaking point to me. No,

509
00:27:58,640 --> 00:28:00,320
Speaker 1: because you're doing it way at the leader. You know

510
00:28:00,400 --> 00:28:04,399
Speaker 1: you're test. But people got used and they come in

511
00:28:04,440 --> 00:28:06,760
Speaker 1: all kinds of colors, but they're all like one solid

512
00:28:06,880 --> 00:28:08,960
Speaker 1: color and you can slide it up and down. Yeah

513
00:28:09,160 --> 00:28:11,639
Speaker 1: at yeah, you just move that loop out, move out

514
00:28:11,640 --> 00:28:14,760
Speaker 1: wherever you want, put the loop back over. People got

515
00:28:14,880 --> 00:28:16,800
Speaker 1: used to fishing those and because they were just one

516
00:28:16,880 --> 00:28:19,879
Speaker 1: solid color, they kind of look different. You know, They're like,

517
00:28:20,000 --> 00:28:22,800
Speaker 1: it's my strike indicator. So they came out with white

518
00:28:22,840 --> 00:28:26,080
Speaker 1: ones I took the white ones and some red marker

519
00:28:29,480 --> 00:28:32,120
Speaker 1: freaking it would mess with those fly fish in mind

520
00:28:32,200 --> 00:28:34,320
Speaker 1: and be like, really, you don't have like a pink

521
00:28:34,400 --> 00:28:38,959
Speaker 1: one or a green one? Like yeah, they didn't want

522
00:28:39,000 --> 00:28:42,640
Speaker 1: to admit that's exactly what it is. And by the way,

523
00:28:42,680 --> 00:28:45,200
Speaker 1: we had a San Juan worm hanging underneath it, you know,

524
00:28:45,880 --> 00:28:51,000
Speaker 1: calling you were you were matching, you were matching something

525
00:28:51,120 --> 00:28:53,080
Speaker 1: those fish have never laid eyes on, which is a

526
00:28:53,200 --> 00:28:55,640
Speaker 1: red worm. It just gave me a smile every time

527
00:28:55,680 --> 00:28:59,360
Speaker 1: I look over off the oars and be like, I

528
00:29:00,000 --> 00:29:02,400
Speaker 1: I've done it. I've spent many hours fishing that way,

529
00:29:02,560 --> 00:29:07,640
Speaker 1: and I, yeah, you don't like you know what we

530
00:29:07,720 --> 00:29:09,640
Speaker 1: would call it? I struck a happy me. A lot

531
00:29:09,680 --> 00:29:11,360
Speaker 1: of guys call it. I was like, I can't call

532
00:29:11,400 --> 00:29:14,640
Speaker 1: it a strike indicator because that's just you know, that's

533
00:29:14,680 --> 00:29:17,960
Speaker 1: like mental masturbation. But someone isn't like a bob or either.

534
00:29:18,000 --> 00:29:20,920
Speaker 1: We would call the float, yeah, because we use them

535
00:29:20,960 --> 00:29:24,000
Speaker 1: for steal a lot. A float with a stick, which

536
00:29:24,040 --> 00:29:26,720
Speaker 1: is just like ice fishing. You'd call that a bomber.

537
00:29:26,920 --> 00:29:29,400
Speaker 1: Same rig up. What do they call the bomber that

538
00:29:29,480 --> 00:29:33,000
Speaker 1: you put that uh water into to fish off spinning

539
00:29:33,040 --> 00:29:35,120
Speaker 1: reel so you can actually throw a weight. Let's fly

540
00:29:35,560 --> 00:29:37,120
Speaker 1: I'm talking about. Yeah, but I don't know what. I

541
00:29:37,480 --> 00:29:38,920
Speaker 1: know him and I've owned them, but I don't know

542
00:29:38,960 --> 00:29:40,640
Speaker 1: what they called. Have no idea. I've never used us.

543
00:29:41,200 --> 00:29:44,480
Speaker 1: And you know what I was driving at. You first

544
00:29:44,520 --> 00:29:47,760
Speaker 1: came out and worked with this win September September last year. Yeah.

545
00:29:49,720 --> 00:29:51,040
Speaker 1: Do you feel like you've gotten like a kind of

546
00:29:51,080 --> 00:29:55,040
Speaker 1: a crash course and a bunch of hunting related business? Oh? Yeah, man, Yeah,

547
00:29:55,040 --> 00:29:57,200
Speaker 1: I feel like I learned a lot. Yeah. What's the

548
00:29:57,240 --> 00:30:00,120
Speaker 1: business thing about all that? She's into it, man, she's

549
00:30:00,120 --> 00:30:03,240
Speaker 1: supportive of it. She like kind of hates my job

550
00:30:03,280 --> 00:30:05,520
Speaker 1: because of the travel. I can imagine, but she's in.

551
00:30:05,640 --> 00:30:07,760
Speaker 1: You don't say, you'll say being going all the time

552
00:30:07,840 --> 00:30:12,800
Speaker 1: costs little stress? Who heard of such a thing. Yeah,

553
00:30:12,920 --> 00:30:15,040
Speaker 1: she likes she likes it. She likes it because I

554
00:30:15,120 --> 00:30:18,160
Speaker 1: don't have to like go to super dangerous places. Now

555
00:30:18,600 --> 00:30:20,640
Speaker 1: you know she just got back from the Congo. Yeah,

556
00:30:20,800 --> 00:30:26,040
Speaker 1: but that's not like that. That is like like that

557
00:30:26,200 --> 00:30:28,880
Speaker 1: is like if you worked in Afghanistan, Yeah, you work

558
00:30:28,920 --> 00:30:32,000
Speaker 1: in the Congo. Yeah, you work in Iraq? Yeah, what's

559
00:30:32,040 --> 00:30:36,000
Speaker 1: a dangerous place? I would say more I would say Afghanistan,

560
00:30:37,240 --> 00:30:42,000
Speaker 1: well Detroit, Yeah, but Detroit, yeah, definitely. So she likes

561
00:30:42,040 --> 00:30:46,440
Speaker 1: this better than Afghanistan. Yeah, grizzly bears to her safer

562
00:30:46,680 --> 00:30:50,760
Speaker 1: than yeah, we bears. Right, that's good because most people don't.

563
00:30:50,840 --> 00:30:54,840
Speaker 1: Most people think that bears. Most people think bears are dangerous,

564
00:30:56,360 --> 00:30:59,880
Speaker 1: which they are, but it's still Ye, they're not gonna

565
00:31:02,320 --> 00:31:05,280
Speaker 1: there's so much. This is the thing I wanted to

566
00:31:06,080 --> 00:31:07,320
Speaker 1: Let's come back to the barrier things I want to

567
00:31:07,920 --> 00:31:15,320
Speaker 1: thing alright, So, um, two per separate conservation. They picked

568
00:31:15,360 --> 00:31:19,440
Speaker 1: the group, you certify the group. Now what's the thing

569
00:31:19,520 --> 00:31:23,280
Speaker 1: you need most right now? Do you need businesses to

570
00:31:23,360 --> 00:31:27,960
Speaker 1: go to percent? So you need customers to prioritize buying

571
00:31:28,000 --> 00:31:30,880
Speaker 1: a two percent? So we need both. I think that

572
00:31:31,080 --> 00:31:34,720
Speaker 1: are our strategies we need. We need customers to value

573
00:31:34,880 --> 00:31:37,760
Speaker 1: what we're doing, because that's gonna make it. That's gonna

574
00:31:37,800 --> 00:31:40,560
Speaker 1: make businesses understand and realize the importance of becoming a member.

575
00:31:41,320 --> 00:31:43,680
Speaker 1: But um, but there are a lot of businesses that

576
00:31:44,000 --> 00:31:47,120
Speaker 1: already meet the criteria, that are already volunteering time, that

577
00:31:47,160 --> 00:31:50,120
Speaker 1: are already given back one percent of sales. So so

578
00:31:50,200 --> 00:31:53,840
Speaker 1: our strategies to go find those businesses, uh and talk

579
00:31:53,920 --> 00:31:56,920
Speaker 1: to them about what we're trying to do, uh and

580
00:31:57,080 --> 00:31:59,080
Speaker 1: see if they believe in the models. Hey, hey, if

581
00:31:59,080 --> 00:32:02,720
Speaker 1: you had this converse station internally about marketing what we

582
00:32:02,760 --> 00:32:05,880
Speaker 1: do for conservation, right, and what would be their argument

583
00:32:05,920 --> 00:32:08,520
Speaker 1: against it? Well, there's no argument necessarily against it. But

584
00:32:08,640 --> 00:32:11,000
Speaker 1: your your business trying to sell products. That's your first

585
00:32:11,080 --> 00:32:13,560
Speaker 1: that's where you're focusing. But know, in your case, you're

586
00:32:13,560 --> 00:32:16,720
Speaker 1: saying there already because there's a lot of companies, particularly

587
00:32:16,760 --> 00:32:19,200
Speaker 1: smaller companies I know about, they are already doing that.

588
00:32:19,280 --> 00:32:21,920
Speaker 1: That's right. So so what would be there? What would

589
00:32:21,920 --> 00:32:23,400
Speaker 1: be a reason they would have to not be like

590
00:32:23,560 --> 00:32:25,480
Speaker 1: yes unless they just want they didn't want to be

591
00:32:25,600 --> 00:32:27,520
Speaker 1: part of something that could hopefully They don't have very

592
00:32:27,560 --> 00:32:30,400
Speaker 1: many reasons not to say yes, unless it was paranoid.

593
00:32:30,480 --> 00:32:32,560
Speaker 1: Our model is unproven, so there's some risk and like

594
00:32:32,720 --> 00:32:35,959
Speaker 1: tying your brand with with our brand, that's not you mean,

595
00:32:36,040 --> 00:32:38,760
Speaker 1: you don't know what I'm gonna go do something stupid

596
00:32:38,800 --> 00:32:41,480
Speaker 1: on with how we market our brand or something. But

597
00:32:41,520 --> 00:32:43,560
Speaker 1: you don't have any chance to really do anything bad

598
00:32:43,560 --> 00:32:45,760
Speaker 1: because they're not sending you like like I thought earlier,

599
00:32:45,760 --> 00:32:47,440
Speaker 1: they're not sending you the money that it turns out

600
00:32:47,520 --> 00:32:51,080
Speaker 1: you embezzled it. Yeah, so it's low risk to answer

601
00:32:51,080 --> 00:32:52,960
Speaker 1: your question. For companies are already doing it, this is

602
00:32:53,040 --> 00:32:55,160
Speaker 1: just another way for them. It's a it's a multiplier

603
00:32:55,200 --> 00:32:58,000
Speaker 1: effect on their investment. Right So, you're working with b

604
00:32:58,280 --> 00:33:00,480
Speaker 1: h A or so company working with b J they're

605
00:33:00,560 --> 00:33:03,640
Speaker 1: not only are they given you exposure for your sponsorship

606
00:33:03,680 --> 00:33:06,040
Speaker 1: and your dollars, right, this is another way for those

607
00:33:06,120 --> 00:33:08,560
Speaker 1: same dollars don't have to invest any more to get

608
00:33:08,680 --> 00:33:12,920
Speaker 1: more more recognition for it. Right so, so hopefully so

609
00:33:13,040 --> 00:33:14,600
Speaker 1: that's kind of our goal the gates to start talking

610
00:33:14,640 --> 00:33:17,200
Speaker 1: to these conservation minded companies out of the gate. But

611
00:33:17,280 --> 00:33:19,640
Speaker 1: the real goal and the real long term win is

612
00:33:19,720 --> 00:33:22,800
Speaker 1: if we could prove that value, right as I want

613
00:33:22,840 --> 00:33:25,600
Speaker 1: companies who aren't currently working with conservation groups, who aren't

614
00:33:25,600 --> 00:33:28,240
Speaker 1: investing one percent to see that value and then and

615
00:33:28,400 --> 00:33:31,280
Speaker 1: come asking like, shoot, man, I want to do that too,

616
00:33:31,880 --> 00:33:34,239
Speaker 1: How do I get involved? And we can say, well,

617
00:33:34,360 --> 00:33:36,720
Speaker 1: what do you care about? Go in public land access? Yeah,

618
00:33:36,760 --> 00:33:37,800
Speaker 1: go talk to the guys at b h A and

619
00:33:37,840 --> 00:33:40,280
Speaker 1: see what we can do. And that's when incremental dollars

620
00:33:40,320 --> 00:33:42,400
Speaker 1: will come to conservation. And that's really when the model

621
00:33:42,520 --> 00:33:45,480
Speaker 1: is is effective at doing what it what we hope

622
00:33:45,520 --> 00:33:47,400
Speaker 1: that it can do. So when you go on pitches

623
00:33:47,440 --> 00:33:49,080
Speaker 1: to a company, you go and talk to the marketing

624
00:33:49,120 --> 00:33:51,320
Speaker 1: guy at the company, talk to whoever I can talk

625
00:33:51,360 --> 00:33:54,240
Speaker 1: to first. But but yeah, the marketing guys usually the

626
00:33:54,280 --> 00:33:55,880
Speaker 1: guy the guy out of it because it's like a

627
00:33:55,960 --> 00:33:58,160
Speaker 1: marketing thing. It's something in it for you. Yeah, it's

628
00:33:58,200 --> 00:34:00,440
Speaker 1: a marketing investment the way most companies look. Yeah, Yanni's

629
00:34:00,440 --> 00:34:02,720
Speaker 1: t shirt company recently sold a bunch of T shirts

630
00:34:02,760 --> 00:34:04,960
Speaker 1: and gave the money all the way there you go,

631
00:34:05,160 --> 00:34:07,320
Speaker 1: which someone might look and be like, dude, that's stupid

632
00:34:07,360 --> 00:34:14,520
Speaker 1: way to run a t shirt business. Probably not, so

633
00:34:14,840 --> 00:34:16,719
Speaker 1: you might think, like, man, you got it all wrong

634
00:34:18,000 --> 00:34:20,839
Speaker 1: what they really do in business because they keep all

635
00:34:20,880 --> 00:34:24,000
Speaker 1: that money. But you were thinking marketing sure, as much

636
00:34:24,040 --> 00:34:25,759
Speaker 1: as you were thinking trying to do like you know

637
00:34:25,840 --> 00:34:30,920
Speaker 1: when Yeah, so I think I think this model hopefully

638
00:34:31,040 --> 00:34:33,080
Speaker 1: for something like that. Right, Like, there's a there's a

639
00:34:33,120 --> 00:34:37,480
Speaker 1: marketing investment for what? How how conservation groups have evolved

640
00:34:37,560 --> 00:34:41,600
Speaker 1: right as they offer sponsorships to companies as a fundraising

641
00:34:41,640 --> 00:34:43,800
Speaker 1: mechanism for them, and that that really is a marketing

642
00:34:43,800 --> 00:34:45,640
Speaker 1: investment for business. I don't understand what that means. So

643
00:34:45,680 --> 00:34:47,400
Speaker 1: I don't know. You can go become the corporate sponsor

644
00:34:47,440 --> 00:34:49,680
Speaker 1: of vh A or army, or you can work or whatever.

645
00:34:49,680 --> 00:34:52,560
Speaker 1: You can buy advertising their magazine. You can as a business.

646
00:34:53,200 --> 00:34:55,840
Speaker 1: You're not just writing a check to these conservation groups

647
00:34:56,400 --> 00:34:59,680
Speaker 1: without expecting anything in return. Right. How how that models

648
00:34:59,719 --> 00:35:01,879
Speaker 1: evolve of how they raise money is as they offer

649
00:35:01,920 --> 00:35:04,719
Speaker 1: you something in return for your contribution. Right. So so

650
00:35:04,800 --> 00:35:06,760
Speaker 1: it's a marketing investment, right, and this is just another

651
00:35:06,800 --> 00:35:09,640
Speaker 1: way to leverage that investment. So that that was an

652
00:35:09,680 --> 00:35:12,880
Speaker 1: interesting point where you saying, let's let's say you have

653
00:35:13,000 --> 00:35:16,480
Speaker 1: a conservation organization that does the publication well, keeps that

654
00:35:16,560 --> 00:35:20,160
Speaker 1: publication alive and drives membership for that conservation organization and

655
00:35:20,239 --> 00:35:24,080
Speaker 1: allows them to advertise. Yeah, it's like the people advertise

656
00:35:24,320 --> 00:35:27,880
Speaker 1: in that magazine. So a company that is buying ads

657
00:35:28,440 --> 00:35:32,319
Speaker 1: in a place in support of a conservation organization, that's

658
00:35:32,360 --> 00:35:34,840
Speaker 1: a conservation spend on their part. Hell yeah, it is

659
00:35:34,960 --> 00:35:37,800
Speaker 1: that that that conservation group depends on those funds to

660
00:35:38,000 --> 00:35:40,960
Speaker 1: execute their mission work fundraising, and that's a recruitment tool,

661
00:35:42,040 --> 00:35:45,120
Speaker 1: way to seminate information totally. Yeah, I mean going to uh,

662
00:35:45,719 --> 00:35:48,359
Speaker 1: the wild Chief Foundation is a good example, right, buying

663
00:35:48,400 --> 00:35:51,440
Speaker 1: a booth at their show and exhibiting at their Showy,

664
00:35:51,600 --> 00:35:53,920
Speaker 1: they'd have that show to raise money and awareness for

665
00:35:53,960 --> 00:35:56,440
Speaker 1: their brand. That's important for them executing their mission work

666
00:35:56,560 --> 00:35:59,520
Speaker 1: raising funds. So so going to work with them, miss,

667
00:35:59,719 --> 00:36:03,040
Speaker 1: that's a contribution to conservation. That's important. So would you

668
00:36:03,160 --> 00:36:07,960
Speaker 1: pick your uh, would you picture that a fella is

669
00:36:08,000 --> 00:36:10,319
Speaker 1: gonna go like, a fella is going to go make

670
00:36:10,360 --> 00:36:15,120
Speaker 1: a purchase. They would go check on your They would

671
00:36:15,120 --> 00:36:17,520
Speaker 1: go check on on Fish and Wildlife dot org and

672
00:36:17,719 --> 00:36:18,920
Speaker 1: be like, oh, you know, if I'm gonna do this,

673
00:36:19,120 --> 00:36:22,279
Speaker 1: maybe I'll do it at a at a group that's pledged. Sure,

674
00:36:22,360 --> 00:36:25,160
Speaker 1: I hope that that they can do that. Check the website.

675
00:36:25,239 --> 00:36:28,440
Speaker 1: But you know the way that the model gives companies

676
00:36:28,480 --> 00:36:30,960
Speaker 1: flexibility to leverage it how they want, Right, So I

677
00:36:31,000 --> 00:36:33,000
Speaker 1: would hope that a guy's going to buy Ammo right

678
00:36:33,160 --> 00:36:36,759
Speaker 1: at Sports and Warehouse and he's going looking at the

679
00:36:36,880 --> 00:36:40,080
Speaker 1: giant wall of freaking boxes Ammo, and he's sitting there

680
00:36:40,120 --> 00:36:42,160
Speaker 1: looking at the two seventy and there's a box of

681
00:36:42,239 --> 00:36:45,040
Speaker 1: Federal with a little two percent for Conservation logo on it,

682
00:36:45,360 --> 00:36:47,960
Speaker 1: and there's a box of whatever Rimington that doesn't have

683
00:36:48,040 --> 00:36:50,600
Speaker 1: a logo on it. Hopefully, if we're doing our job

684
00:36:50,719 --> 00:36:52,680
Speaker 1: right getting our brand out there and recognition or right

685
00:36:52,719 --> 00:36:55,520
Speaker 1: with the consumer, he'll see that and know that, you know,

686
00:36:55,719 --> 00:36:58,040
Speaker 1: a percentage of that purchase is gonna go back to conservation.

687
00:36:58,120 --> 00:37:00,840
Speaker 1: He'll buy that federal AMMO rather than whatever else. And

688
00:37:00,960 --> 00:37:03,440
Speaker 1: that's kind of the the end goal and that consumers

689
00:37:03,719 --> 00:37:10,160
Speaker 1: with you. Uh two more questions, maybe more what um,

690
00:37:11,040 --> 00:37:14,080
Speaker 1: what's in it for you? Like? Why are you doing this? Nothing?

691
00:37:15,400 --> 00:37:20,080
Speaker 1: I kind of thought that you weren't getting the checks.

692
00:37:20,280 --> 00:37:26,400
Speaker 1: I was like, no, uh, you know. So, So my background,

693
00:37:26,440 --> 00:37:29,840
Speaker 1: I work in the hunting industry for for for sika

694
00:37:30,280 --> 00:37:33,160
Speaker 1: Um who sells clothing, hunting clothing, and I just sales

695
00:37:33,200 --> 00:37:34,719
Speaker 1: and market. I've I've been with them for a long

696
00:37:34,840 --> 00:37:38,759
Speaker 1: time and and we've always internally talked about this, this

697
00:37:39,320 --> 00:37:42,320
Speaker 1: opportunity to talk about what we do for conservation and

698
00:37:42,400 --> 00:37:44,239
Speaker 1: struggle with how we do it. And then so part

699
00:37:44,280 --> 00:37:46,120
Speaker 1: of my job at sick As I work with all

700
00:37:46,160 --> 00:37:48,800
Speaker 1: the conservation groups that that we have partnerships with, and

701
00:37:48,840 --> 00:37:52,040
Speaker 1: I've gotten to develop lots of relationships there and learn

702
00:37:52,040 --> 00:37:54,400
Speaker 1: about how they function and the challenges they have and

703
00:37:55,120 --> 00:37:57,759
Speaker 1: the challenges they have from fundraising and and kind of

704
00:37:57,800 --> 00:38:00,319
Speaker 1: those two perspectives. This just kind of hit me one

705
00:38:00,360 --> 00:38:02,680
Speaker 1: time and it's like ship man, that we could do

706
00:38:02,840 --> 00:38:06,200
Speaker 1: something here to make this easier for both parties, right,

707
00:38:06,360 --> 00:38:09,080
Speaker 1: And so I just started working on nights and weekends

708
00:38:09,080 --> 00:38:11,080
Speaker 1: and it's kind of it's kind of come to this.

709
00:38:11,239 --> 00:38:15,680
Speaker 1: So so really, I'm married, I got two kids, kids

710
00:38:15,960 --> 00:38:20,680
Speaker 1: six and three, well three and two weeks um. And

711
00:38:20,760 --> 00:38:23,800
Speaker 1: then two percent. It's not two percent of profits, don't

712
00:38:24,480 --> 00:38:27,200
Speaker 1: it's it's actually it's one percent of sales, one percent

713
00:38:27,280 --> 00:38:30,960
Speaker 1: of sales, and it's one percent of time, which is

714
00:38:31,239 --> 00:38:34,320
Speaker 1: uh which we've based off of roughly two thousand and

715
00:38:34,360 --> 00:38:36,560
Speaker 1: eighty work hours in the year, right, so twenty one hours,

716
00:38:37,120 --> 00:38:38,800
Speaker 1: and that's not per individual at the company, that's just

717
00:38:38,880 --> 00:38:41,480
Speaker 1: company wide. We want you to commit to, you know,

718
00:38:41,760 --> 00:38:44,400
Speaker 1: twenty one hours going back to volunteer work and that

719
00:38:44,480 --> 00:38:48,160
Speaker 1: could be sell raffle tickets at a banquet, sitting on

720
00:38:48,239 --> 00:38:51,920
Speaker 1: a board, doing a river cleanup project. We just want

721
00:38:51,960 --> 00:38:53,719
Speaker 1: you to do more than write a check. Right. That's

722
00:38:54,400 --> 00:38:56,319
Speaker 1: I shouldn't say it's easy to write checks, right, because

723
00:38:56,360 --> 00:38:59,440
Speaker 1: that's not easy. But anybody company can essentially write a check,

724
00:38:59,560 --> 00:39:01,759
Speaker 1: but can you can you show commitment beyond right and

725
00:39:01,920 --> 00:39:08,080
Speaker 1: check and go out and foster that that volunteerism with times. Yeah,

726
00:39:08,160 --> 00:39:10,000
Speaker 1: you know, And and that was a learning that I

727
00:39:10,080 --> 00:39:12,840
Speaker 1: had when when pitching this model, getting feedback to conservation

728
00:39:12,880 --> 00:39:15,480
Speaker 1: groups are like, yeah, money is really important, but to

729
00:39:15,520 --> 00:39:17,520
Speaker 1: a lot of them, arguably time is more important than

730
00:39:17,560 --> 00:39:19,719
Speaker 1: the money. Like we need voluntelunteer time. Yeah, we need

731
00:39:19,800 --> 00:39:23,279
Speaker 1: volunteers to help us execute that the actual conservation work

732
00:39:23,360 --> 00:39:25,520
Speaker 1: that we're trying to do. So so yeah, so that's

733
00:39:25,520 --> 00:39:27,040
Speaker 1: how you get to it's one percent of sales plus

734
00:39:27,120 --> 00:39:28,919
Speaker 1: one percent of time. And that's that's where our naming

735
00:39:28,960 --> 00:39:31,640
Speaker 1: convention comes to two percent for a conservation. So like

736
00:39:31,719 --> 00:39:35,640
Speaker 1: if if if a listener like, what's your call to action? Man,

737
00:39:35,680 --> 00:39:36,840
Speaker 1: if you have to give a call act, like, what

738
00:39:36,920 --> 00:39:39,759
Speaker 1: do you need most right now to happen? We need

739
00:39:40,200 --> 00:39:44,040
Speaker 1: we need people to uh to communicate to the businesses

740
00:39:44,080 --> 00:39:45,879
Speaker 1: of the brands that they love the products they want

741
00:39:45,880 --> 00:39:48,520
Speaker 1: to buy, that this is valuable to them. So I

742
00:39:48,640 --> 00:39:51,600
Speaker 1: want a guy that that loves that's a die hard

743
00:39:51,640 --> 00:39:53,520
Speaker 1: Matthews guy, loves to shoot Matthews pose, that's all he

744
00:39:53,600 --> 00:39:55,480
Speaker 1: wants to say, Hey, man, why aren't you guys give

745
00:39:55,520 --> 00:39:58,759
Speaker 1: the back one percent to conservation? Why aren't you volunteering time?

746
00:39:59,080 --> 00:40:00,960
Speaker 1: You should be a member of the YEP. And if

747
00:40:01,040 --> 00:40:04,080
Speaker 1: some dude is out there, you know, stitching up uh

748
00:40:05,320 --> 00:40:08,560
Speaker 1: backpacks out of his of his garage and selling them

749
00:40:08,640 --> 00:40:12,040
Speaker 1: like he could heck yeah man. Yeah. So so there's

750
00:40:12,480 --> 00:40:14,120
Speaker 1: a cool thing too where I think there's lots of

751
00:40:14,200 --> 00:40:16,800
Speaker 1: opportunity for for non dimmit companies. Like it's not just

752
00:40:16,920 --> 00:40:20,000
Speaker 1: hunting fishing companies, right, that's obviously where there's the most

753
00:40:20,080 --> 00:40:22,960
Speaker 1: direct correlation. But but a guy that owns a construction

754
00:40:23,000 --> 00:40:26,440
Speaker 1: company that's just a passionate hunter, right, ship that construction

755
00:40:26,440 --> 00:40:28,439
Speaker 1: company could be a member too. He should They should

756
00:40:28,440 --> 00:40:31,160
Speaker 1: be contributing a conservation or or whatever it is. So

757
00:40:32,200 --> 00:40:33,360
Speaker 1: so there's a lot of I think there's a lot

758
00:40:33,400 --> 00:40:35,239
Speaker 1: of opportunity when you start looking at the world of

759
00:40:35,360 --> 00:40:39,480
Speaker 1: businesses outside of just hunting fishing companies too, which is exciting.

760
00:40:40,160 --> 00:40:43,200
Speaker 1: There you have it fishing wildlift out org or if

761
00:40:43,239 --> 00:40:48,480
Speaker 1: you know how to spell that, good to for conservation,

762
00:40:48,520 --> 00:40:51,400
Speaker 1: but yeah, fishing wildlife out orgus. That's your favor that

763
00:40:51,560 --> 00:40:54,520
Speaker 1: that's easier to remember. That's that's my domain name. Win

764
00:40:54,840 --> 00:41:01,360
Speaker 1: for the year. Beat was it you? Yeah, your hand? Okay,

765
00:41:01,440 --> 00:41:04,919
Speaker 1: well let's do this though, let's do this two percent

766
00:41:04,960 --> 00:41:07,160
Speaker 1: for conservation. Do you have concluding thoughts about two percent

767
00:41:07,200 --> 00:41:11,920
Speaker 1: for conservation? We do have something I can say about it.

768
00:41:11,960 --> 00:41:17,200
Speaker 1: I don't. It's like, don't, don't waste our time. I'm

769
00:41:17,239 --> 00:41:19,200
Speaker 1: just glad to hear that. Yeah, you guys are like

770
00:41:19,400 --> 00:41:21,480
Speaker 1: really trying to get out, you know, get out of

771
00:41:21,640 --> 00:41:23,400
Speaker 1: just the hunting and fishing industry, cause I think that

772
00:41:23,440 --> 00:41:26,840
Speaker 1: will help raise awareness of what the hunting fishing industry

773
00:41:26,920 --> 00:41:29,800
Speaker 1: does already and just get more people in on the

774
00:41:30,160 --> 00:41:33,319
Speaker 1: conservation boat. You know, you could make it. You could

775
00:41:33,320 --> 00:41:35,359
Speaker 1: already be because you could take and look at all

776
00:41:35,400 --> 00:41:37,360
Speaker 1: the money you gave away off the T shirts you

777
00:41:37,440 --> 00:41:47,120
Speaker 1: gave away, Like he's like, yeah, the volunteer time. No,

778
00:41:47,360 --> 00:41:49,920
Speaker 1: you know what you've done. The money was well, you

779
00:41:50,000 --> 00:41:53,680
Speaker 1: got the volunteer time, man, you know the volunteer time.

780
00:41:53,719 --> 00:41:55,840
Speaker 1: It's gonna be interesting when we go talk to businesses

781
00:41:55,960 --> 00:41:58,719
Speaker 1: that you know, that might be hard, That might be

782
00:41:58,760 --> 00:42:01,400
Speaker 1: the hardest thing. Sure that we find out that that

783
00:42:01,520 --> 00:42:03,440
Speaker 1: we do, which which is good. I think it. We

784
00:42:03,520 --> 00:42:04,879
Speaker 1: don't want it to be easy to be a member

785
00:42:04,920 --> 00:42:07,880
Speaker 1: of this right people you don't want people makes it

786
00:42:07,960 --> 00:42:11,040
Speaker 1: more valuable firm businesses right, because it's a commitment. It's

787
00:42:11,040 --> 00:42:13,000
Speaker 1: hard to do. You'd be like, well, if I drank

788
00:42:13,040 --> 00:42:15,120
Speaker 1: all night at a Duck's unlimited thing, does that count

789
00:42:15,120 --> 00:42:19,600
Speaker 1: of volunteer time? You got any concluding thoughts about that? Chris,

790
00:42:19,640 --> 00:42:21,080
Speaker 1: you already kind of told us about what you thought

791
00:42:21,080 --> 00:42:26,440
Speaker 1: about it. Yeah, help me do it. Um. Chris's real

792
00:42:26,560 --> 00:42:31,520
Speaker 1: name is Ridge Pounder. It's not my birth certificate because

793
00:42:31,760 --> 00:42:36,600
Speaker 1: this man um is. You know, I talked about Duncan

794
00:42:36,600 --> 00:42:41,400
Speaker 1: Gil Chris being an accidental uh good writer. Chris is

795
00:42:41,440 --> 00:42:48,719
Speaker 1: an accidental good higbelievable lucky dude. Attitude and stamina. I

796
00:42:48,800 --> 00:42:51,120
Speaker 1: think it's just attitude, man. I think it's not even

797
00:42:51,200 --> 00:42:54,120
Speaker 1: that you're hurting deep down, like not in pain, but

798
00:42:54,280 --> 00:42:56,719
Speaker 1: like I get winded, you know, I'm not like just

799
00:42:56,960 --> 00:42:59,879
Speaker 1: you're always just right there. He's always just right there.

800
00:43:00,000 --> 00:43:02,320
Speaker 1: About that? So much is that that attitude can almost

801
00:43:02,360 --> 00:43:04,279
Speaker 1: in the end trump the stamina because you can take

802
00:43:04,360 --> 00:43:06,520
Speaker 1: two guys and look at him and look at their

803
00:43:06,600 --> 00:43:08,479
Speaker 1: stats in the gym and be like that dude's gonna

804
00:43:08,480 --> 00:43:11,759
Speaker 1: crush that dude. But the guy that's like looks like

805
00:43:11,920 --> 00:43:14,480
Speaker 1: he's the gym rat. Might not have the good attitude

806
00:43:14,520 --> 00:43:18,080
Speaker 1: and those long days on ridges and on trails, attitude

807
00:43:18,200 --> 00:43:22,839
Speaker 1: really just takes you home. Long smiles, makes a short

808
00:43:22,920 --> 00:43:27,040
Speaker 1: mile and yeah, big smile on Rich Pounder's face all

809
00:43:27,080 --> 00:43:29,959
Speaker 1: the time, like you're having fun, Dude, I am having

810
00:43:30,080 --> 00:43:33,520
Speaker 1: fun even when I'm like, dude, did you run ahead lately?

811
00:43:33,560 --> 00:43:35,680
Speaker 1: And get that coming on? Shot? I haven't seen you

812
00:43:35,800 --> 00:43:38,600
Speaker 1: up ahead of us lately. And then I'll go ahead

813
00:43:40,320 --> 00:43:42,160
Speaker 1: the Um, but he's ready, you mean, he's ready to

814
00:43:42,200 --> 00:43:44,160
Speaker 1: run up and do it. Yeah, so what I've been

815
00:43:44,200 --> 00:43:45,560
Speaker 1: telling him, and that this is the second time I

816
00:43:45,600 --> 00:43:49,560
Speaker 1: brought this up today, becauase worked today? Um, you're not

817
00:43:49,680 --> 00:43:55,680
Speaker 1: that old. Yeah, you Here's what I'm afraid that you're doing.

818
00:43:56,719 --> 00:43:58,799
Speaker 1: I'm afraid that you just think that you're just gonna

819
00:43:59,520 --> 00:44:03,040
Speaker 1: go on him through life, slicking up and down hills

820
00:44:03,080 --> 00:44:06,600
Speaker 1: like a grease hog without putting any investment in. And

821
00:44:06,719 --> 00:44:09,879
Speaker 1: I think you might be at the apex of when

822
00:44:09,960 --> 00:44:13,320
Speaker 1: I can do if you go on just thinking that

823
00:44:13,400 --> 00:44:16,600
Speaker 1: that's how you are. Dude. You know, I've been having

824
00:44:16,640 --> 00:44:19,000
Speaker 1: that attitude I think for most of my life of like,

825
00:44:19,200 --> 00:44:22,239
Speaker 1: oh yeah, it's fine, but I think you're right. I

826
00:44:22,360 --> 00:44:24,920
Speaker 1: just gotta hit it. But what do I do? I live,

827
00:44:25,200 --> 00:44:27,480
Speaker 1: I live in flatland. Man. I think he's got ten

828
00:44:27,520 --> 00:44:30,920
Speaker 1: more good years. I don't know, but that's not that

829
00:44:31,040 --> 00:44:35,239
Speaker 1: long once you're there, when you listen, when you've been

830
00:44:35,280 --> 00:44:40,160
Speaker 1: alive ten more years, Yeah, when you've been alive ten

831
00:44:40,280 --> 00:44:43,880
Speaker 1: more years, you'll still be younger in me, which is insane.

832
00:44:45,800 --> 00:44:47,399
Speaker 1: I don't know what the hell point I was trying

833
00:44:47,400 --> 00:44:49,279
Speaker 1: to make. I was trying to make the opposite point.

834
00:44:49,800 --> 00:44:52,520
Speaker 1: He'll be my age. That's what I'm saying, because I

835
00:44:52,640 --> 00:44:55,279
Speaker 1: really everybody keeps telling you know, it's been telling me

836
00:44:55,360 --> 00:44:58,600
Speaker 1: for ten years. My tablan's gonna slow down, You're gonna

837
00:44:58,719 --> 00:45:01,840
Speaker 1: get beer gut yettata YadA. Well, now, just in the

838
00:45:01,960 --> 00:45:06,640
Speaker 1: last year, I really am like, man, watch what you're

839
00:45:06,680 --> 00:45:10,120
Speaker 1: not getting a beer gut no, but drinking beer. You

840
00:45:10,160 --> 00:45:13,880
Speaker 1: haven't drinking beer like five months. Yes, he's on a

841
00:45:14,040 --> 00:45:19,440
Speaker 1: Lavan cleanse, but I still think that, Like I just

842
00:45:19,560 --> 00:45:22,640
Speaker 1: know my body feels different finally, like I'm kind of

843
00:45:22,719 --> 00:45:25,840
Speaker 1: accepting this. Yeah, I feel it, dude. I live in

844
00:45:25,960 --> 00:45:31,120
Speaker 1: absolute fear because because I know now. The other day,

845
00:45:31,200 --> 00:45:35,960
Speaker 1: for instance, I woke up in my neck hurt from sleeping. Funny, Okay,

846
00:45:36,440 --> 00:45:38,759
Speaker 1: normally by eight in the morning, it would not be

847
00:45:38,920 --> 00:45:42,960
Speaker 1: that way. My neck hurt for five days. That's a

848
00:45:43,040 --> 00:45:48,160
Speaker 1: bad Well, that's that's it's just happening. I'm starting to

849
00:45:48,200 --> 00:45:52,879
Speaker 1: live in fear. I need a new pillow. Yeah. Well,

850
00:45:53,040 --> 00:45:55,040
Speaker 1: I was at my brother's house. He's got he's got

851
00:45:55,160 --> 00:45:59,520
Speaker 1: a foot and food. Well, you know, because we got

852
00:45:59,600 --> 00:46:02,160
Speaker 1: the house and so my wife and I had were

853
00:46:02,239 --> 00:46:04,879
Speaker 1: like a bed, but you know, the kids. We brought

854
00:46:04,920 --> 00:46:07,040
Speaker 1: all the kids in my brother's place to fish, and

855
00:46:08,080 --> 00:46:09,560
Speaker 1: they were confused about what the hell is going on.

856
00:46:09,840 --> 00:46:11,600
Speaker 1: Like We're like, okay, you guys all go in that

857
00:46:11,800 --> 00:46:13,520
Speaker 1: room and sleep, and we're in this little not a

858
00:46:13,560 --> 00:46:15,600
Speaker 1: little bit, but like a bed, you know, and pretty

859
00:46:15,640 --> 00:46:17,520
Speaker 1: soon they're in ours. And I was just like, came

860
00:46:17,600 --> 00:46:19,759
Speaker 1: there in mind, I'll go back and find another place

861
00:46:19,800 --> 00:46:22,279
Speaker 1: to sleep. And that's where I hurt my neck. But

862
00:46:22,480 --> 00:46:24,120
Speaker 1: it took forever to get better. And it's just because

863
00:46:24,320 --> 00:46:27,279
Speaker 1: I'm getting old. My wife keeps telling me I'm getting old.

864
00:46:27,600 --> 00:46:32,560
Speaker 1: She's like, you've really aged a lot lately. It's well, no,

865
00:46:32,719 --> 00:46:35,120
Speaker 1: it's not, because it's like I like to know what's

866
00:46:35,160 --> 00:46:37,239
Speaker 1: going on I don't want people tell me a bunch

867
00:46:37,239 --> 00:46:39,640
Speaker 1: of lies. Yes, you know, speaking of that, we should

868
00:46:39,640 --> 00:46:41,640
Speaker 1: bring up our friend who we hung out with last week.

869
00:46:41,719 --> 00:46:45,160
Speaker 1: Did we mention that podcast we did in Wyomen about

870
00:46:45,280 --> 00:46:50,520
Speaker 1: his bluntness and about how people about that. It was

871
00:46:50,640 --> 00:46:53,080
Speaker 1: like we it was a little uncomfortable at first, but

872
00:46:53,160 --> 00:46:55,480
Speaker 1: when she got used to the way that this dude operated,

873
00:46:55,800 --> 00:46:58,200
Speaker 1: appreciate it. You appreciate it because you're like, there's no

874
00:46:58,320 --> 00:47:01,880
Speaker 1: gray area. Everybody knows exactly what's going on, and that's

875
00:47:01,920 --> 00:47:03,640
Speaker 1: kind of how you like it. So he's yeah, he's

876
00:47:03,800 --> 00:47:11,440
Speaker 1: very very successful businessman. Um accomplished in that field and

877
00:47:11,640 --> 00:47:15,120
Speaker 1: has been in management roles for a long time. And

878
00:47:16,520 --> 00:47:20,160
Speaker 1: we uh at one point found a couple of move sheds.

879
00:47:21,080 --> 00:47:24,560
Speaker 1: Rather than have any awkwardness about who owns these move sheds,

880
00:47:25,880 --> 00:47:29,799
Speaker 1: those will be staying on the property, and at first

881
00:47:29,840 --> 00:47:32,799
Speaker 1: like whoa there? Like, hey, you know what better that? Right?

882
00:47:33,239 --> 00:47:35,920
Speaker 1: Then him being like, man, those guys found him and

883
00:47:35,960 --> 00:47:38,160
Speaker 1: they took him home, and now I'm mad and wish

884
00:47:38,280 --> 00:47:41,000
Speaker 1: I had him. Just keeping it real, we got don't

885
00:47:41,000 --> 00:47:45,640
Speaker 1: eating dinner. He's like, let's clean up, right, It's like, please,

886
00:47:46,960 --> 00:47:49,960
Speaker 1: everyone should just be like that. Just tell me what

887
00:47:50,239 --> 00:47:54,400
Speaker 1: it is you want. My wife would be like that

888
00:47:54,520 --> 00:47:59,279
Speaker 1: more often. Yeah, well, you know I say that, but

889
00:47:59,560 --> 00:48:07,400
Speaker 1: I say that, but she obviously is just lately. Yeah. Alright,

890
00:48:07,480 --> 00:48:12,239
Speaker 1: So Rocky Mountain go to Lions or mountain? How's it going?

891
00:48:12,360 --> 00:48:14,560
Speaker 1: It's the Rocky Mountain, go to Lions. Rocky Mountain go

892
00:48:14,640 --> 00:48:21,840
Speaker 1: to Lions. Now, like, what was the genesis? It was

893
00:48:21,920 --> 00:48:24,959
Speaker 1: early two thousand and thirteen. I went to my first

894
00:48:25,080 --> 00:48:30,560
Speaker 1: Wild Sheep Foundation convention and what reason. I was working

895
00:48:30,640 --> 00:48:33,720
Speaker 1: at SNAIS at the time and we had a booth,

896
00:48:34,560 --> 00:48:36,920
Speaker 1: so I went. I was on my first trade show circuit.

897
00:48:36,960 --> 00:48:40,160
Speaker 1: I was like twenty two years old or something, even

898
00:48:40,239 --> 00:48:45,480
Speaker 1: younger than Ridge Pounder. I'm twenty six now, Yeah, still

899
00:48:46,640 --> 00:48:49,719
Speaker 1: younger than Ridge Pounding. Are you younger? Are you younger

900
00:48:49,719 --> 00:48:55,600
Speaker 1: than rich Pounder? Getting old too? I saw the Montana

901
00:48:55,680 --> 00:48:59,320
Speaker 1: Governor's tag sell for two the big Horn sheep permit

902
00:48:59,440 --> 00:49:04,439
Speaker 1: self for two hundred, four hundred and eight quarter. Wow,

903
00:49:04,480 --> 00:49:06,560
Speaker 1: I'm really butchering this. Half a million dollar sheep was

904
00:49:06,640 --> 00:49:12,600
Speaker 1: sold that year. Those funds went to Montana Big Horn

905
00:49:12,719 --> 00:49:19,440
Speaker 1: Sheep Conservation and Management, and I have a relationship with

906
00:49:19,640 --> 00:49:22,560
Speaker 1: a regional biologist here Julie Cunningham, a very good friend

907
00:49:22,600 --> 00:49:24,880
Speaker 1: of mine, and I came home from that convention and

908
00:49:25,040 --> 00:49:28,160
Speaker 1: literally Monday morning, I was knocking on her door and

909
00:49:28,239 --> 00:49:30,320
Speaker 1: I had killed a mountain goat in two thousand eleven,

910
00:49:30,400 --> 00:49:34,640
Speaker 1: and I'm obsessed with mountain goats and asked her how

911
00:49:34,760 --> 00:49:37,880
Speaker 1: I could help out with mountain goat projects, if there

912
00:49:38,000 --> 00:49:41,320
Speaker 1: was any volunteer opportunities or if anybody had orchestrated a

913
00:49:41,680 --> 00:49:46,279
Speaker 1: conservation group specifically for this animal. And the answer was no.

914
00:49:47,440 --> 00:49:50,360
Speaker 1: But her quick follow up was, I've been waiting my

915
00:49:50,640 --> 00:49:52,680
Speaker 1: entire career for somebody to walk in here and say that.

916
00:49:54,200 --> 00:49:57,279
Speaker 1: So she and I sat down and over a cup

917
00:49:57,360 --> 00:50:00,680
Speaker 1: of coffee, um, they go to Liliance was kind of

918
00:50:00,719 --> 00:50:04,120
Speaker 1: born that morning. So we came up with the idea,

919
00:50:04,120 --> 00:50:09,000
Speaker 1: We're going to start a grassroots conservation group to assist

920
00:50:09,080 --> 00:50:13,080
Speaker 1: with mountain goat conservation and mountain goat management, and uh,

921
00:50:13,480 --> 00:50:15,359
Speaker 1: that's all fine and dandy, but then the biggest question

922
00:50:15,400 --> 00:50:16,560
Speaker 1: was like, Hey, what are we gonna what are we

923
00:50:16,560 --> 00:50:19,400
Speaker 1: gonna do? Yeah, what are the mount Like what problems

924
00:50:19,400 --> 00:50:22,600
Speaker 1: does the mountain go have? So because they're like they're

925
00:50:22,640 --> 00:50:27,319
Speaker 1: generally above development, sure they're higher than development, but they

926
00:50:27,320 --> 00:50:29,440
Speaker 1: would have very low fecundity. They don't have like a

927
00:50:29,520 --> 00:50:33,880
Speaker 1: high reproductive rate, so what's their problem? Nanny harvest is

928
00:50:33,920 --> 00:50:36,840
Speaker 1: probably the most detrimental thing to a mountain goat population.

929
00:50:37,600 --> 00:50:42,280
Speaker 1: And what's unfortunate is across North America, the average mountain

930
00:50:42,280 --> 00:50:46,800
Speaker 1: goat tag is in either sex permit and that's that.

931
00:50:46,880 --> 00:50:49,319
Speaker 1: Can I break in from it? Just clarify cult points here?

932
00:50:49,920 --> 00:50:53,560
Speaker 1: So what are you talking about there? Is is you know,

933
00:50:53,600 --> 00:50:59,040
Speaker 1: when you get a permit and either sex permit um,

934
00:50:59,560 --> 00:51:01,960
Speaker 1: you'll find the animals that are very hard to sex

935
00:51:02,120 --> 00:51:05,320
Speaker 1: or they're hard to sex, they don't. They generally do

936
00:51:05,440 --> 00:51:08,680
Speaker 1: either sex permits. So for instance, bears, it takes a

937
00:51:08,800 --> 00:51:12,800
Speaker 1: trained eye two sex a bear. You I don't know

938
00:51:12,880 --> 00:51:14,960
Speaker 1: if I've ever seen in my life a bear tag

939
00:51:15,120 --> 00:51:19,359
Speaker 1: good for a gender specific bear. It's asking a lot

940
00:51:19,760 --> 00:51:23,440
Speaker 1: wild picks. A trained I you never see like it's

941
00:51:23,480 --> 00:51:26,880
Speaker 1: good for a male or female. Um. Things that are

942
00:51:26,880 --> 00:51:29,920
Speaker 1: easy to distinguish. She got a big damn set of

943
00:51:29,960 --> 00:51:32,279
Speaker 1: antlers on its head or not, stuff like that. You

944
00:51:32,360 --> 00:51:37,040
Speaker 1: see it. Mountain goats, it takes a trained eye, an

945
00:51:37,239 --> 00:51:41,080
Speaker 1: educated eye. So rather than putting that on people where

946
00:51:41,120 --> 00:51:45,920
Speaker 1: you're basically sending fifty of your people out to probably

947
00:51:46,080 --> 00:51:49,080
Speaker 1: end up breaking a law. They do it just because

948
00:51:49,120 --> 00:51:52,759
Speaker 1: it's so hard to enforce, I'm guessing, and it's puts

949
00:51:52,800 --> 00:51:56,560
Speaker 1: a certain level of um responsibility on their shoulders, I'll

950
00:51:56,560 --> 00:51:58,120
Speaker 1: point out, and I'm sure you're aware of this. I

951
00:51:58,239 --> 00:52:00,399
Speaker 1: drew a goat tag and the ken eye. But it's law,

952
00:52:00,960 --> 00:52:05,320
Speaker 1: and they say it's either sex. If you kill a nanny,

953
00:52:05,480 --> 00:52:07,560
Speaker 1: you can't even apply for this tag for seven years

954
00:52:07,800 --> 00:52:09,680
Speaker 1: or something like that. So they penalize you that way,

955
00:52:09,760 --> 00:52:12,080
Speaker 1: and that's not even the end of the repercussions of

956
00:52:12,120 --> 00:52:15,680
Speaker 1: that harvest. The Alaska model, if you harvest a nanny,

957
00:52:16,680 --> 00:52:20,480
Speaker 1: the quota for the following year is directly resulted. They

958
00:52:20,640 --> 00:52:23,319
Speaker 1: lower their tags. If you go in there and kill

959
00:52:23,360 --> 00:52:25,600
Speaker 1: a nanny, you're taking a tag out of someone else's

960
00:52:26,080 --> 00:52:28,960
Speaker 1: the next year. Alright, So so go on about that

961
00:52:29,440 --> 00:52:32,160
Speaker 1: nanny harvest being a big issue. Yep, we could have

962
00:52:32,239 --> 00:52:36,239
Speaker 1: a hell of all out more goats. Sure if people

963
00:52:36,280 --> 00:52:37,920
Speaker 1: would draw a tag, and then you get when you

964
00:52:38,000 --> 00:52:40,239
Speaker 1: draw a tag, you got months before you're gonna hunt. Sure,

965
00:52:41,000 --> 00:52:44,560
Speaker 1: So mountain goats are extremely robust. You know, they don't

966
00:52:45,120 --> 00:52:50,080
Speaker 1: they don't deal luckily with the extremely detrimental issues that

967
00:52:50,400 --> 00:52:52,960
Speaker 1: big horn sheep deal with as far as pneumonia outbreaks

968
00:52:53,080 --> 00:52:55,960
Speaker 1: or anything of that. Like, they're they're a lot more

969
00:52:56,120 --> 00:53:01,480
Speaker 1: durable of a mammal than a wild sheep my opinion. Um,

970
00:53:02,680 --> 00:53:06,799
Speaker 1: so they're they're survivors. They do very very well when

971
00:53:06,880 --> 00:53:10,920
Speaker 1: introduced to areas, and there's not a lot of literature

972
00:53:11,719 --> 00:53:16,480
Speaker 1: explaining that. But mountain goat introductions um, if done with

973
00:53:16,640 --> 00:53:20,680
Speaker 1: the large amount of mountain goats are extremely successful. Other

974
00:53:20,920 --> 00:53:24,680
Speaker 1: animals introduced are a lot more finicky. So mountain goats

975
00:53:24,680 --> 00:53:29,840
Speaker 1: are total survivors. Um. They flourish in a handful of

976
00:53:30,200 --> 00:53:38,520
Speaker 1: different environments. And what's an old mountain goat like a sheep?

977
00:53:38,760 --> 00:53:41,520
Speaker 1: Like a fourteen year old ram would be a dead

978
00:53:41,560 --> 00:53:44,160
Speaker 1: sheep walking right. He didn't have any teeth left, just

979
00:53:44,239 --> 00:53:48,880
Speaker 1: like a billy. Um. But the nanny harvest is extremely

980
00:53:49,520 --> 00:53:53,800
Speaker 1: dangerous because they do reproduce so slow. The average mountain

981
00:53:53,840 --> 00:53:57,640
Speaker 1: goat doesn't reproduce until it's three maybe four years old.

982
00:53:58,080 --> 00:54:03,080
Speaker 1: Kid recruitment rate in the first year is sub uh

983
00:54:03,160 --> 00:54:06,000
Speaker 1: and most of the populations in the lower forty eight

984
00:54:06,080 --> 00:54:09,719
Speaker 1: are pretty small, So if you have a couple of

985
00:54:09,840 --> 00:54:14,279
Speaker 1: years of heavy female harvest. There are significant repercussions from

986
00:54:14,360 --> 00:54:18,360
Speaker 1: those harvests, and you can't incriminate these people. Uh, you know,

987
00:54:18,480 --> 00:54:21,600
Speaker 1: you can't blame the fourteen year old kid that draws

988
00:54:21,680 --> 00:54:23,719
Speaker 1: a mountain goat tag and it's an either sex tag

989
00:54:23,800 --> 00:54:25,719
Speaker 1: and he doesn't know anything about mountain goats and he

990
00:54:25,800 --> 00:54:27,520
Speaker 1: goes out goat hunting and he sees one and he

991
00:54:27,560 --> 00:54:29,839
Speaker 1: shoots one and it happens to be a six year

992
00:54:29,880 --> 00:54:34,680
Speaker 1: old female. Well, that's a really valuable animal to that population.

993
00:54:35,680 --> 00:54:41,360
Speaker 1: She's important they give off one ofspring. Correct, they have one? Yeah, twins,

994
00:54:41,520 --> 00:54:45,560
Speaker 1: Twins do occur. Uh, it's pretty rare. It's very rare

995
00:54:45,680 --> 00:54:49,120
Speaker 1: for the twins to both survive, but nothing near what

996
00:54:49,600 --> 00:54:52,720
Speaker 1: we think of like a white tail pumping out twins

997
00:54:52,840 --> 00:54:56,960
Speaker 1: every year. Pretty much what white tail will have faunds

998
00:54:57,000 --> 00:55:02,120
Speaker 1: its second year, right, So it's very different. And you

999
00:55:02,280 --> 00:55:07,800
Speaker 1: can't expect the average sportsman to understand that when you

1000
00:55:07,880 --> 00:55:10,400
Speaker 1: hand him a mountain goat tag. So a lot of

1001
00:55:10,440 --> 00:55:13,040
Speaker 1: the stuff that we're focusing on moving forward is public

1002
00:55:13,200 --> 00:55:19,760
Speaker 1: education and raising the public awareness and raising the responsibility

1003
00:55:20,239 --> 00:55:23,279
Speaker 1: of the mountain goat hunter. And uh, do you talk

1004
00:55:23,320 --> 00:55:25,600
Speaker 1: about are you talking about raising it in a legal

1005
00:55:25,719 --> 00:55:28,280
Speaker 1: sense or raising it in like, hey, buddy, you should

1006
00:55:28,480 --> 00:55:30,239
Speaker 1: know this, or do you guys think it would be

1007
00:55:30,280 --> 00:55:35,400
Speaker 1: a good idea to maybe mandate a little more education,

1008
00:55:35,480 --> 00:55:37,600
Speaker 1: a little more responsibility, Like what what's your take on it?

1009
00:55:37,640 --> 00:55:39,520
Speaker 1: Because I can see that you get sideways with some

1010
00:55:39,640 --> 00:55:42,640
Speaker 1: people who want to just be like that. They're going

1011
00:55:42,800 --> 00:55:44,320
Speaker 1: and they're going and they don't want to have to

1012
00:55:44,360 --> 00:55:47,279
Speaker 1: do anything. Sure, it's a little bit of all of that. Um,

1013
00:55:47,360 --> 00:55:50,960
Speaker 1: I think the more you raise the public education, the

1014
00:55:51,040 --> 00:55:55,560
Speaker 1: more you raise the you know, it's embarrassing for a

1015
00:55:55,640 --> 00:55:57,600
Speaker 1: guy if he goes out, you know, and I'm I

1016
00:55:57,719 --> 00:55:59,879
Speaker 1: got this once in a lifetime mountain goat tag. Well,

1017
00:55:59,880 --> 00:56:01,840
Speaker 1: I don't want to. I don't want to accidentally shoot

1018
00:56:01,880 --> 00:56:05,040
Speaker 1: a nanny for a bunch of different reasons. So it's

1019
00:56:05,040 --> 00:56:08,120
Speaker 1: a little bit of that, and it's a it's definitely

1020
00:56:08,280 --> 00:56:15,279
Speaker 1: part of I think that the judging the gender of

1021
00:56:15,400 --> 00:56:20,360
Speaker 1: them and being educated on it is up to the

1022
00:56:20,400 --> 00:56:23,480
Speaker 1: guy with the tag in his pocket, and the educational

1023
00:56:23,560 --> 00:56:27,919
Speaker 1: materials available to that guy at this time are poor.

1024
00:56:29,040 --> 00:56:34,840
Speaker 1: Duncan Gilcrest produced some phenomenal Mountain Goat educational materials that

1025
00:56:34,960 --> 00:56:40,000
Speaker 1: happened in the nineties. Nobody's done it since then. So

1026
00:56:41,120 --> 00:56:46,280
Speaker 1: we orchestrate on the ground boots on the ground volunteer

1027
00:56:46,400 --> 00:56:51,359
Speaker 1: projects throughout North America to assist regionally with mountain goat

1028
00:56:51,440 --> 00:56:56,560
Speaker 1: surveys and population analysis on a larger scale. You guys

1029
00:56:56,600 --> 00:57:00,080
Speaker 1: are out poling the mountains checking stuff out. Do you

1030
00:57:00,120 --> 00:57:03,479
Speaker 1: ever find all stuff that no one knew? I found

1031
00:57:03,520 --> 00:57:05,800
Speaker 1: a mountain goat. I found a nanny in South Dakota

1032
00:57:05,920 --> 00:57:09,080
Speaker 1: last year and she looked like she had this horrible

1033
00:57:09,160 --> 00:57:13,200
Speaker 1: infection on her face and she just had scabs all

1034
00:57:13,280 --> 00:57:15,080
Speaker 1: over her face and it was gross. I mean, as

1035
00:57:15,200 --> 00:57:17,480
Speaker 1: gross as you think it is, that's what she looked like.

1036
00:57:18,760 --> 00:57:24,760
Speaker 1: And uh turned out it was this contagious exhuma of

1037
00:57:25,200 --> 00:57:29,640
Speaker 1: Capri species that South Dakota didn't know they were dealing with.

1038
00:57:31,160 --> 00:57:34,040
Speaker 1: So that's probably the closest thing we've ever found come

1039
00:57:34,120 --> 00:57:36,320
Speaker 1: to finding out that nobody knew about before. But so

1040
00:57:36,360 --> 00:57:38,480
Speaker 1: you never found one that jumped mountain ranges in a

1041
00:57:38,560 --> 00:57:41,520
Speaker 1: weird way, and oh no, that happens quite a bit. Um.

1042
00:57:42,600 --> 00:57:45,360
Speaker 1: Just we're sitting in Bozeman right now. Just north of

1043
00:57:45,440 --> 00:57:48,440
Speaker 1: town is the Bridge or Mountain Range, very well known

1044
00:57:48,520 --> 00:57:53,480
Speaker 1: mountain goat population those goats came from the Tobacco Root

1045
00:57:53,560 --> 00:57:57,280
Speaker 1: mountains just west of here in the ninety nineties. Did

1046
00:57:57,320 --> 00:58:00,360
Speaker 1: they really on their own? No, they were interesting. So

1047
00:58:00,400 --> 00:58:02,720
Speaker 1: they brought a trailer full of goats up to Ferry Lake.

1048
00:58:02,840 --> 00:58:05,280
Speaker 1: It's the trailhead for the Sack of Jewaya Hike, the

1049
00:58:05,360 --> 00:58:08,320
Speaker 1: highest peak in the Bridge Range. They turned loose. I

1050
00:58:08,360 --> 00:58:11,400
Speaker 1: don't know, fifteen mountain goods. One of them was like

1051
00:58:11,440 --> 00:58:14,680
Speaker 1: an eleven year old billy. He hiked up to the

1052
00:58:14,760 --> 00:58:19,560
Speaker 1: saddle down the west faced and forty miles across the

1053
00:58:19,600 --> 00:58:24,800
Speaker 1: Gallatin Valley walked back to the tobacco. Yeah, there's pictures

1054
00:58:24,840 --> 00:58:28,800
Speaker 1: of that goat jumping fence in Belgrade, Montana. His buddies like, man,

1055
00:58:28,800 --> 00:58:30,760
Speaker 1: where you been. He's like, don't even get me started.

1056
00:58:31,280 --> 00:58:33,200
Speaker 1: You don't even know about the walk. I just said,

1057
00:58:34,400 --> 00:58:37,080
Speaker 1: there's a goat right now. There's a there's a billy

1058
00:58:37,240 --> 00:58:40,680
Speaker 1: right now that just showed up in a Dinosaur National

1059
00:58:40,800 --> 00:58:44,320
Speaker 1: Monument on the west side of Colorado. And this goat

1060
00:58:44,400 --> 00:58:49,840
Speaker 1: came out of Utah from Washsatch population and he walked east.

1061
00:58:51,800 --> 00:58:54,680
Speaker 1: It's got to be thirty forty miles and all on

1062
00:58:54,800 --> 00:58:57,400
Speaker 1: his own. He's you know, some five year old Billy

1063
00:58:57,560 --> 00:59:00,800
Speaker 1: showed up in Dinosaur National Monument, which is controlled by

1064
00:59:00,800 --> 00:59:04,920
Speaker 1: the FEDS, and according to the National Park Service and

1065
00:59:04,960 --> 00:59:10,520
Speaker 1: the FEDS, that's an exotic animal. Yeah, so they are

1066
00:59:11,440 --> 00:59:13,320
Speaker 1: trying to figure out how to deal with him right now,

1067
00:59:13,480 --> 00:59:16,880
Speaker 1: and the proposed solution is to kill him, which breaks

1068
00:59:16,960 --> 00:59:20,080
Speaker 1: my heart. It sounds like a pretty badass, badass billy

1069
00:59:20,280 --> 00:59:22,640
Speaker 1: that went for a walk and went went. But he

1070
00:59:22,800 --> 00:59:25,760
Speaker 1: came from an introduced population though in Utah he did.

1071
00:59:26,520 --> 00:59:27,840
Speaker 1: I can see how that would put him in a

1072
00:59:27,880 --> 00:59:30,080
Speaker 1: sticky situation. I was gonna say, because like in Colorado,

1073
00:59:30,440 --> 00:59:35,120
Speaker 1: all the goats, they're considered and that must be just

1074
00:59:35,240 --> 00:59:37,920
Speaker 1: in general, like a sticky subject for you guys. Right,

1075
00:59:38,000 --> 00:59:41,840
Speaker 1: But Montana has Montana has native populations, but the northwest

1076
00:59:42,000 --> 00:59:46,280
Speaker 1: we do Bob marshall the bitter root stuff, everything west,

1077
00:59:46,800 --> 00:59:49,240
Speaker 1: everything west of the Bob. There's an argument that some

1078
00:59:49,680 --> 00:59:52,600
Speaker 1: of the mountain goats in northern Utah are in fact

1079
00:59:53,480 --> 00:59:56,120
Speaker 1: native or not, that the current mountain goats are native,

1080
00:59:56,360 --> 01:00:00,440
Speaker 1: but their ancestors did in fact live there, That mountain

1081
01:00:00,480 --> 01:00:05,120
Speaker 1: goats did inhabit into the northern Utah. The Willard Peak

1082
01:00:05,720 --> 01:00:10,760
Speaker 1: population matters. He asked, so and they were potentially like

1083
01:00:10,880 --> 01:00:14,040
Speaker 1: wiped off from human causes. Yeah, hard to kind of

1084
01:00:14,120 --> 01:00:16,960
Speaker 1: put your finger on what you know, there wasn't a

1085
01:00:17,000 --> 01:00:21,919
Speaker 1: whole lot of testing of animals until the last couple

1086
01:00:21,960 --> 01:00:25,480
Speaker 1: of decades. But what's an argument in favor of um,

1087
01:00:26,600 --> 01:00:29,080
Speaker 1: what's an argument favorite putting mountain goats in places where

1088
01:00:29,080 --> 01:00:33,160
Speaker 1: they haven't been before. It's a it's a natural resource.

1089
01:00:33,400 --> 01:00:38,440
Speaker 1: You're you're increasing your natural resources. And if you're supporting

1090
01:00:38,920 --> 01:00:42,880
Speaker 1: sportsmen who fork over their dollars, if you're the if

1091
01:00:42,920 --> 01:00:46,160
Speaker 1: you're the state manager of mountain goats, I believe it's

1092
01:00:46,160 --> 01:00:48,360
Speaker 1: your responsibility to have a lot of mountain goats and

1093
01:00:48,520 --> 01:00:52,080
Speaker 1: to provide this opportunity to the citizens of your state.

1094
01:00:52,840 --> 01:00:56,080
Speaker 1: It's a it's a renewable natural resource. I asked this

1095
01:00:56,200 --> 01:00:59,240
Speaker 1: question about turkeys one time, because you know, well, because

1096
01:00:59,240 --> 01:01:03,120
Speaker 1: I mean forty in states of turkey seasons. They said,

1097
01:01:03,920 --> 01:01:07,960
Speaker 1: it's been yet to be demonstrated that there's a deleterious effect.

1098
01:01:09,280 --> 01:01:11,600
Speaker 1: No one's pointed to. Uh, No one's pointed to a

1099
01:01:11,640 --> 01:01:15,560
Speaker 1: good negative. It's a lot like the pheasant pheasants everyhere.

1100
01:01:15,560 --> 01:01:18,240
Speaker 1: People love peasants from Asia, straight out of China. It's

1101
01:01:18,280 --> 01:01:22,320
Speaker 1: like no one has yet said, man if it weren't

1102
01:01:22,320 --> 01:01:25,720
Speaker 1: for these pheasants, so they just winds up being like

1103
01:01:25,920 --> 01:01:27,880
Speaker 1: it just winds up being in many cases like a

1104
01:01:27,920 --> 01:01:30,600
Speaker 1: win win, Like you're not you know, put them there.

1105
01:01:30,640 --> 01:01:34,680
Speaker 1: It's not that you can point to um endemic species

1106
01:01:34,760 --> 01:01:37,400
Speaker 1: that have gone extinct because of mountain goat grazing or

1107
01:01:37,480 --> 01:01:40,160
Speaker 1: the other species have been in displaced because of mountain

1108
01:01:40,160 --> 01:01:44,880
Speaker 1: goat activities. There's two main arguments against mountain goat introductions.

1109
01:01:44,960 --> 01:01:50,520
Speaker 1: The one is the destruction of alpine plant life. Take

1110
01:01:50,560 --> 01:01:54,200
Speaker 1: that for what it's worth. The other is conflict of

1111
01:01:54,480 --> 01:01:58,960
Speaker 1: sheep habitat and people that like sheep don't like seeing

1112
01:01:59,000 --> 01:02:02,000
Speaker 1: goats near them. Oh so, use there's a conflict. They

1113
01:02:02,240 --> 01:02:05,040
Speaker 1: find a conflict between goats and sheep. Certainly what they

1114
01:02:05,080 --> 01:02:09,200
Speaker 1: co exist the over place, um they do well. Are

1115
01:02:09,200 --> 01:02:12,000
Speaker 1: they worried about disease transmission? Correct? Yeah, so there's a

1116
01:02:12,040 --> 01:02:14,320
Speaker 1: little bit of fear. There's a population of goats and

1117
01:02:14,440 --> 01:02:19,080
Speaker 1: Nevada and the Ruby Mountains, pneumonia has run rampant through them.

1118
01:02:19,240 --> 01:02:22,080
Speaker 1: It's the only population of mountain goats in North America

1119
01:02:22,480 --> 01:02:28,640
Speaker 1: that is very clearly suffering from a pneumonia outbreak. Obviously, navonia.

1120
01:02:28,760 --> 01:02:33,240
Speaker 1: Pneumonia has rereaked havoc on wild sheep across North America,

1121
01:02:33,920 --> 01:02:39,760
Speaker 1: not so much in the wild goats. Nevada has this problem.

1122
01:02:39,920 --> 01:02:44,680
Speaker 1: It's kind of ground zero for this, for this disease outbreak. Uh,

1123
01:02:45,040 --> 01:02:48,440
Speaker 1: certainly they can transmit it to a wild sheep very easily.

1124
01:02:49,400 --> 01:02:51,880
Speaker 1: So a lot of people are living in fear of

1125
01:02:53,400 --> 01:02:57,760
Speaker 1: pneumonia transmission. It's called m o V and it's the

1126
01:02:58,600 --> 01:03:01,960
Speaker 1: infection that can cause in the mania and living in

1127
01:03:02,080 --> 01:03:06,240
Speaker 1: fear that goats could potentially in fact our Wild Cheap

1128
01:03:07,360 --> 01:03:12,680
Speaker 1: so a goat tested positive in Washington last year, it

1129
01:03:12,760 --> 01:03:15,280
Speaker 1: could be a false positive. They don't know. A goat

1130
01:03:15,360 --> 01:03:18,720
Speaker 1: tested positive in Jackson Whole a couple of years ago,

1131
01:03:19,400 --> 01:03:25,880
Speaker 1: again very realistically is likely a false positive in the testing.

1132
01:03:27,000 --> 01:03:31,000
Speaker 1: But those are huge red flags to Wild Cheap enthusiasts.

1133
01:03:31,200 --> 01:03:35,800
Speaker 1: And uh, let me let me back up and say,

1134
01:03:35,840 --> 01:03:39,160
Speaker 1: one of our most cherished relationships is in fact with

1135
01:03:39,200 --> 01:03:41,880
Speaker 1: the Wild Cheap Foundation. We work really closely with them

1136
01:03:41,920 --> 01:03:46,200
Speaker 1: and a lot of stuff. But um, disease outbreaking wild

1137
01:03:46,240 --> 01:03:48,800
Speaker 1: animals are certainly something to be cautious though, Oh yeah, man,

1138
01:03:49,080 --> 01:03:51,560
Speaker 1: hugely are there any areas there are? There? Is there

1139
01:03:51,560 --> 01:03:54,160
Speaker 1: any native mountain goat range that where mountain goolts were

1140
01:03:54,240 --> 01:03:57,840
Speaker 1: extirpated from the range, they've never made it back. Like

1141
01:03:57,920 --> 01:03:59,160
Speaker 1: if you looked at it a map at the time

1142
01:03:59,200 --> 01:04:01,880
Speaker 1: of European con the showed where goats are are they

1143
01:04:01,960 --> 01:04:05,120
Speaker 1: still everywhere they were there was and you know, before

1144
01:04:05,200 --> 01:04:08,360
Speaker 1: the Europeans, mountain goats were as far as Mexico, and

1145
01:04:08,480 --> 01:04:12,560
Speaker 1: it was a an ancestral goat. Um. It's not an

1146
01:04:12,600 --> 01:04:15,280
Speaker 1: actual mountain goat as we know it today, but there

1147
01:04:15,360 --> 01:04:17,440
Speaker 1: was a subspecies of mountain goats that lived as far

1148
01:04:17,520 --> 01:04:21,479
Speaker 1: as Mexico when the ice fields were that far south,

1149
01:04:22,920 --> 01:04:24,760
Speaker 1: and then they started receding to the north and the

1150
01:04:24,840 --> 01:04:27,480
Speaker 1: goats kind of that particularly think it's called the Harrison.

1151
01:04:27,600 --> 01:04:32,440
Speaker 1: Harrison mountain goat is the subspecies of goat that existed

1152
01:04:32,480 --> 01:04:35,200
Speaker 1: all the way into Mexico. They are completely extinct now.

1153
01:04:36,080 --> 01:04:41,720
Speaker 1: The mountain goat that we know today um inhabited everything

1154
01:04:41,800 --> 01:04:47,160
Speaker 1: from Alaska into parts of Idaho and arguably Utah. You've

1155
01:04:47,160 --> 01:04:49,040
Speaker 1: ever read the book The Big s Guy, I have

1156
01:04:49,200 --> 01:04:53,400
Speaker 1: not a mountain goat saves his life, say what, He

1157
01:04:53,440 --> 01:04:55,040
Speaker 1: shoots the mountain goat and eats it, but it stays

1158
01:04:55,040 --> 01:04:58,120
Speaker 1: his life perfect in the end of the Big Sky. Yeah,

1159
01:04:58,160 --> 01:05:00,400
Speaker 1: it's uh we always though about that. It's such a

1160
01:05:00,440 --> 01:05:05,600
Speaker 1: good book. Man who wrote it? Huh Uh? That's why

1161
01:05:05,640 --> 01:05:08,600
Speaker 1: people call Montana Big Sky Country because that book. Yeah,

1162
01:05:08,600 --> 01:05:13,680
Speaker 1: you coin thing the Big Guy? Why not? I've never heard.

1163
01:05:16,160 --> 01:05:20,520
Speaker 1: I can't read, so what it like? Uh? Where are

1164
01:05:20,520 --> 01:05:22,360
Speaker 1: you guys at with things? How long has you been around?

1165
01:05:23,640 --> 01:05:27,000
Speaker 1: So the idea came about an early two thousand thirteen,

1166
01:05:27,360 --> 01:05:30,000
Speaker 1: I believe about a year later, we were granted five

1167
01:05:30,040 --> 01:05:32,040
Speaker 1: oh one C three status from the I r S.

1168
01:05:32,440 --> 01:05:36,880
Speaker 1: So we became a nonprofit UM and things have kind

1169
01:05:36,920 --> 01:05:41,680
Speaker 1: of exponentially escalated every year. So we started off just

1170
01:05:41,840 --> 01:05:47,720
Speaker 1: doing super grassroots projects here in Montana, assisting with regional biologists.

1171
01:05:47,720 --> 01:05:51,520
Speaker 1: Mountain gets are very hard animal to keep tabs on UM,

1172
01:05:52,040 --> 01:05:54,960
Speaker 1: and they are nowhere near the top of the list

1173
01:05:55,040 --> 01:06:00,920
Speaker 1: of priorities of the average state biologists. Public you know,

1174
01:06:02,480 --> 01:06:06,120
Speaker 1: public interest certainly hasn't been focused on mountain goats, and

1175
01:06:06,200 --> 01:06:08,520
Speaker 1: it has been on several other species. Were because it

1176
01:06:08,640 --> 01:06:13,280
Speaker 1: must of them live on public land, right, probably more

1177
01:06:14,280 --> 01:06:17,960
Speaker 1: high high country all the there on, all the unwanted lane. Yeah.

1178
01:06:18,760 --> 01:06:21,720
Speaker 1: So yeah, they say that the the goat hunt starts

1179
01:06:21,760 --> 01:06:27,280
Speaker 1: where the sheep hunt ends. But in Montana, the average

1180
01:06:27,360 --> 01:06:31,880
Speaker 1: mountain goat hunting district is surveyed every four years. The

1181
01:06:32,000 --> 01:06:35,640
Speaker 1: average sheep district or elk district is surveyed once or

1182
01:06:35,680 --> 01:06:39,640
Speaker 1: maybe twice a year. So very low on the totem

1183
01:06:39,680 --> 01:06:42,360
Speaker 1: pole of priorities comes the mountain goats. So when why

1184
01:06:42,400 --> 01:06:44,760
Speaker 1: do you think that is? I love those things. Oh yeah,

1185
01:06:45,120 --> 01:06:48,800
Speaker 1: they it's just kind of out of sight, out of mind.

1186
01:06:49,160 --> 01:06:55,160
Speaker 1: You know, there's there's no public effort behind him until now.

1187
01:06:56,400 --> 01:06:59,400
Speaker 1: You know, if you got the Rocky Mountain Elk Foundation

1188
01:06:59,760 --> 01:07:02,040
Speaker 1: and all the weight and money they pull, of course

1189
01:07:02,320 --> 01:07:04,800
Speaker 1: elk is going to be a big priority in your state.

1190
01:07:05,800 --> 01:07:08,400
Speaker 1: And uh, do you think part of it has to

1191
01:07:08,400 --> 01:07:10,840
Speaker 1: do with how durable they are, that they're we just

1192
01:07:11,040 --> 01:07:13,280
Speaker 1: have confidence that they're just kind of let them do

1193
01:07:13,360 --> 01:07:15,680
Speaker 1: their thing. Yeah, I mean I don't know. Yeah, but man,

1194
01:07:15,760 --> 01:07:18,720
Speaker 1: that's the kind of attitude that's dangerous. But yeah, because

1195
01:07:18,720 --> 01:07:20,920
Speaker 1: you get a few bad years and and lord, you know,

1196
01:07:21,080 --> 01:07:22,080
Speaker 1: and all of a sudden you're like, hey, we have

1197
01:07:22,200 --> 01:07:24,720
Speaker 1: all those things. I feel like we're just general wildlife.

1198
01:07:24,800 --> 01:07:28,120
Speaker 1: You you just you know, plucked a random citizen out

1199
01:07:28,120 --> 01:07:32,720
Speaker 1: from somewhere that you know, eastern Mississippi, like they want

1200
01:07:32,760 --> 01:07:35,200
Speaker 1: to see a mountain, go like them. When I lived here,

1201
01:07:35,280 --> 01:07:37,560
Speaker 1: we would take people up and with a spot scope

1202
01:07:37,640 --> 01:07:39,480
Speaker 1: and just part of the whole tours, you take them

1203
01:07:39,560 --> 01:07:42,280
Speaker 1: up and in glass up. Some of the ones in

1204
01:07:42,320 --> 01:07:45,320
Speaker 1: the bridge arranged will be like, oh, you know, very cool.

1205
01:07:46,080 --> 01:07:48,040
Speaker 1: You got what's going on? You gotta be somewhere just

1206
01:07:48,120 --> 01:07:50,920
Speaker 1: making sure the babysitters, uh doing all right, You're doing good.

1207
01:07:50,960 --> 01:07:54,560
Speaker 1: She's doing good and drinking too much hopefully not. You

1208
01:07:54,640 --> 01:07:57,400
Speaker 1: know what I got interested in them is uh after

1209
01:07:57,480 --> 01:08:00,680
Speaker 1: moving to Montana, I had a girlfriend in and I

1210
01:08:00,720 --> 01:08:03,440
Speaker 1: was always putting in my applications and I'm like, man,

1211
01:08:03,520 --> 01:08:06,560
Speaker 1: you should put into you know, she never hunted. One

1212
01:08:06,640 --> 01:08:12,640
Speaker 1: year she drew a big horn you tag a goat tag,

1213
01:08:13,280 --> 01:08:14,880
Speaker 1: and we got her a black bear. On one year

1214
01:08:15,440 --> 01:08:18,040
Speaker 1: she had a big year, big game hunt. Cool the

1215
01:08:18,160 --> 01:08:21,840
Speaker 1: goat tag. We drew it in an area called Blogic Canyon,

1216
01:08:21,960 --> 01:08:25,400
Speaker 1: which may be familiar with not so on the west side,

1217
01:08:25,960 --> 01:08:29,200
Speaker 1: but we didn't know. That's how I discovered Duncan Gil.

1218
01:08:29,240 --> 01:08:31,759
Speaker 1: Chris was just trying to bone up. I had no idea.

1219
01:08:32,000 --> 01:08:33,639
Speaker 1: You know, I've never been in a mountain go hunt.

1220
01:08:33,680 --> 01:08:35,599
Speaker 1: I didn't know anybody that been on a mountain go hunt.

1221
01:08:36,160 --> 01:08:43,400
Speaker 1: So we went up and it was I was inexperienced

1222
01:08:43,400 --> 01:08:46,080
Speaker 1: that mountain hunting and just generally experienced that big like

1223
01:08:46,720 --> 01:08:50,080
Speaker 1: definitely inexperience of mountain go hunting and inexperienced that big

1224
01:08:50,160 --> 01:08:53,240
Speaker 1: game hunting outside of a handful of animals that had

1225
01:08:53,360 --> 01:08:56,880
Speaker 1: just moved from the Midwest to the West. And uh,

1226
01:08:58,800 --> 01:09:01,880
Speaker 1: we're shocked to find one and killed the first one

1227
01:09:01,960 --> 01:09:06,080
Speaker 1: we saw, young Nanny. Next I went on a go hunt.

1228
01:09:06,479 --> 01:09:08,120
Speaker 1: It was a couple of years later, and by that

1229
01:09:08,200 --> 01:09:10,960
Speaker 1: point we'd logged just some massive amount of time in

1230
01:09:11,000 --> 01:09:15,840
Speaker 1: the mountains, and we went up and our method then,

1231
01:09:16,760 --> 01:09:19,519
Speaker 1: our sexing method then was to sit in this pass

1232
01:09:20,840 --> 01:09:23,960
Speaker 1: and look at a ton of goats and we're like

1233
01:09:24,240 --> 01:09:26,960
Speaker 1: that one out of the eleven that we're looking at

1234
01:09:27,520 --> 01:09:31,439
Speaker 1: is far in a way the biggest one we're looking at,

1235
01:09:31,520 --> 01:09:34,880
Speaker 1: and started at that point great way buffalo, just being like,

1236
01:09:35,560 --> 01:09:40,439
Speaker 1: it's way bigger than everybody else. Let's go investigate its

1237
01:09:40,560 --> 01:09:43,880
Speaker 1: male nous. You's learned from this guy. So what do

1238
01:09:43,960 --> 01:09:46,360
Speaker 1: you like? What are the what do you tell people

1239
01:09:46,360 --> 01:09:50,040
Speaker 1: when you get into the male female thing? It's like, like,

1240
01:09:50,160 --> 01:09:51,880
Speaker 1: I've been a lot of time looking at animals. I've

1241
01:09:51,920 --> 01:09:55,640
Speaker 1: been on go hunts, I've skinned several of them. I

1242
01:09:55,800 --> 01:09:58,639
Speaker 1: can't if I look at one from three yards way,

1243
01:09:58,640 --> 01:10:02,240
Speaker 1: I don't immediately be like, oh, yeah, it's tough. I

1244
01:10:02,280 --> 01:10:05,559
Speaker 1: meant you're lying to yourself. You say it's easy. Um,

1245
01:10:05,760 --> 01:10:07,360
Speaker 1: So what are the like, what are the things that

1246
01:10:07,479 --> 01:10:10,320
Speaker 1: in your conversations and your experience, What is like the

1247
01:10:10,479 --> 01:10:14,280
Speaker 1: thing you're looking for? You gotta watch him p r Yeah,

1248
01:10:14,560 --> 01:10:17,439
Speaker 1: that's the nail in the coffin. The boys stretch out

1249
01:10:17,560 --> 01:10:19,680
Speaker 1: like a big Clydesdale and pe like a horse. And

1250
01:10:19,720 --> 01:10:21,920
Speaker 1: the girls squad do they pe every hour the p

1251
01:10:22,080 --> 01:10:24,479
Speaker 1: every time they get out of a bed, they do.

1252
01:10:25,360 --> 01:10:28,439
Speaker 1: I mean, I would bet bet. I don't have the

1253
01:10:28,800 --> 01:10:31,800
Speaker 1: data to back this up, but probably the time a

1254
01:10:31,840 --> 01:10:33,960
Speaker 1: mountain good gets out of its bed, it takes a pass.

1255
01:10:34,320 --> 01:10:37,120
Speaker 1: So that's like the thing you're looking for. That's the

1256
01:10:37,640 --> 01:10:41,439
Speaker 1: that's the dead giveaway. You can determine the gender of

1257
01:10:41,479 --> 01:10:44,120
Speaker 1: a mountain goat without watching it. You're in by the

1258
01:10:44,280 --> 01:10:47,120
Speaker 1: by the glands on its horns. Yep, you gotta kind

1259
01:10:47,120 --> 01:10:49,120
Speaker 1: of kind of take a look at the big picture.

1260
01:10:49,160 --> 01:10:53,080
Speaker 1: There are several key identify irs that will indicate the

1261
01:10:53,200 --> 01:10:55,800
Speaker 1: gender of a mountain goat, and it's important to look

1262
01:10:55,840 --> 01:10:57,800
Speaker 1: at all of them and not just one of them,

1263
01:10:58,200 --> 01:11:00,200
Speaker 1: because if you make your mind up on just one

1264
01:11:00,640 --> 01:11:05,960
Speaker 1: attribute that you see in this goat, you could be wrong. So, uh, nanny,

1265
01:11:06,760 --> 01:11:10,120
Speaker 1: A girl typically will have a skinny, tall horn with

1266
01:11:10,200 --> 01:11:13,439
Speaker 1: a kink in the top quarter, a sharp kink, like

1267
01:11:13,560 --> 01:11:15,280
Speaker 1: almost a point where it looks like it was bent

1268
01:11:15,479 --> 01:11:19,120
Speaker 1: something bent it. Yeah, a boy is gonna have a

1269
01:11:19,200 --> 01:11:23,360
Speaker 1: heavy horn and a gradual sweep, a big, gradual curvature,

1270
01:11:23,520 --> 01:11:26,559
Speaker 1: no kink, just a clean swoop. But dude, dead alone

1271
01:11:26,640 --> 01:11:28,920
Speaker 1: is confusing because I've looked at the pictures. You better

1272
01:11:29,000 --> 01:11:31,400
Speaker 1: not just you better not make your decision on just

1273
01:11:31,680 --> 01:11:35,120
Speaker 1: that that now. And then you see one a picture

1274
01:11:35,120 --> 01:11:37,720
Speaker 1: you're like, oh, yeah, dead on. Sometimes you look at

1275
01:11:37,760 --> 01:11:39,439
Speaker 1: it and you're like, oh, that's like, no, that's not

1276
01:11:40,640 --> 01:11:43,240
Speaker 1: So we host these billy verse nanny quizzes on our

1277
01:11:43,320 --> 01:11:47,120
Speaker 1: social media platforms and they're pretty popular and people eat

1278
01:11:47,160 --> 01:11:48,519
Speaker 1: it up. So we'll put up a picture of a

1279
01:11:48,560 --> 01:11:50,639
Speaker 1: mountain goat, so what do you think is billy or nanny?

1280
01:11:51,880 --> 01:11:57,440
Speaker 1: And there increasingly popular and uh, it's a good educational

1281
01:11:57,560 --> 01:12:01,599
Speaker 1: tool throughout the throughout the work week. But we definitely

1282
01:12:01,760 --> 01:12:07,320
Speaker 1: there's some very very experienced, legitimate people that participate in

1283
01:12:07,360 --> 01:12:10,479
Speaker 1: these quizzes that get stumped. I mean I get stumped. It.

1284
01:12:10,960 --> 01:12:12,880
Speaker 1: It's tough because some of those old nannies have some big,

1285
01:12:12,960 --> 01:12:15,240
Speaker 1: old long horns too, right, So it's not like you

1286
01:12:15,320 --> 01:12:18,559
Speaker 1: can judge them on just pure size. Look, you gotta

1287
01:12:18,560 --> 01:12:22,680
Speaker 1: look at the whole picture. So the gland. So a

1288
01:12:22,760 --> 01:12:26,080
Speaker 1: common misconception is only the billy has a gland. That's

1289
01:12:26,120 --> 01:12:29,200
Speaker 1: not true. Girls got glands too, They're just way smaller.

1290
01:12:30,760 --> 01:12:34,000
Speaker 1: So both the boys and the girls have glands behind

1291
01:12:34,080 --> 01:12:37,960
Speaker 1: the horn. The billies have significantly larger glands that look

1292
01:12:38,000 --> 01:12:40,759
Speaker 1: like hockey pucks late in the season behind their horns.

1293
01:12:40,760 --> 01:12:43,799
Speaker 1: And he's all run it out and he run late, right, yeah, November,

1294
01:12:45,320 --> 01:12:51,160
Speaker 1: and um, the billies are obviously going to be significantly larger.

1295
01:12:51,240 --> 01:12:54,600
Speaker 1: A ten year old billy looks like an albino silverback

1296
01:12:54,680 --> 01:12:58,240
Speaker 1: gorilla walking around the mountain side. They're big, they're big,

1297
01:12:58,479 --> 01:13:01,200
Speaker 1: and I see that like when you see like the man.

1298
01:13:01,560 --> 01:13:03,680
Speaker 1: Oh you kind of know he's the man, but we're

1299
01:13:03,720 --> 01:13:05,800
Speaker 1: looking at a band of him. It's tough I tell

1300
01:13:05,960 --> 01:13:09,000
Speaker 1: people that the mountain goat you want to shoot is

1301
01:13:09,080 --> 01:13:11,439
Speaker 1: the one that you look at and immediately make your

1302
01:13:11,479 --> 01:13:14,000
Speaker 1: mind up. There's no question about it. He's just a

1303
01:13:14,280 --> 01:13:17,960
Speaker 1: tank and there's no there's no two ways about it.

1304
01:13:18,040 --> 01:13:21,320
Speaker 1: He's definitely a billy and he's definitely big. That's what

1305
01:13:21,400 --> 01:13:24,680
Speaker 1: they tell you about about grizzlies. Yeah, right, you can

1306
01:13:24,760 --> 01:13:27,400
Speaker 1: look at you know, you look at adults all day long.

1307
01:13:27,560 --> 01:13:29,120
Speaker 1: But I don't know. I think it's this. I think

1308
01:13:29,120 --> 01:13:31,120
Speaker 1: it's that, but it goes. But you know what, as

1309
01:13:31,160 --> 01:13:33,200
Speaker 1: soon as when he when he steps out, you're like, oh,

1310
01:13:33,680 --> 01:13:36,479
Speaker 1: big boar, that's him, you know, and all that sussing

1311
01:13:36,520 --> 01:13:39,240
Speaker 1: out those minor little things. How long we've been talking for?

1312
01:13:43,800 --> 01:13:45,400
Speaker 1: Al right? So what do you need from people? You

1313
01:13:45,439 --> 01:13:47,559
Speaker 1: know what? I think there should be a rule if

1314
01:13:47,680 --> 01:13:52,160
Speaker 1: you draw a goat take, you have to join our organization. Yes,

1315
01:13:53,240 --> 01:13:55,200
Speaker 1: I like that. How many states have goat seasons? Okay,

1316
01:13:55,280 --> 01:13:57,600
Speaker 1: not kind of Alaska, because Alaska you can buy the registration,

1317
01:13:57,680 --> 01:14:00,080
Speaker 1: hunts and all kinds of well it's count Alaska. You

1318
01:14:00,120 --> 01:14:02,719
Speaker 1: gotta don't draw that. You can just get them states

1319
01:14:02,760 --> 01:14:06,760
Speaker 1: that you can hunt mountain goats in. Though I think

1320
01:14:06,880 --> 01:14:18,839
Speaker 1: it's I can count them off here. It's Alaska, Oregon, Washington, Idaho, Montana, Wyoming, Colorado, Nevada, Utah,

1321
01:14:19,439 --> 01:14:23,120
Speaker 1: South Dakota. South Dakota has a tag. They're They're crawling

1322
01:14:23,160 --> 01:14:25,800
Speaker 1: all over to Crazy Horse Memorial. I'm headed to South

1323
01:14:25,920 --> 01:14:28,479
Speaker 1: Dakota in the morning for a mountain goat project. But

1324
01:14:28,560 --> 01:14:31,559
Speaker 1: they give a tag out. They gave two tags out

1325
01:14:31,680 --> 01:14:34,160
Speaker 1: in two thousand and fifteen. It was the first permits

1326
01:14:34,200 --> 01:14:36,960
Speaker 1: they've issued in over a decade. And did did you

1327
01:14:36,960 --> 01:14:41,080
Speaker 1: guys get billies or female? They've got two billies. Yeah. Um,

1328
01:14:41,760 --> 01:14:43,880
Speaker 1: they're in the Black Hills there in the Black Hills.

1329
01:14:43,920 --> 01:14:47,799
Speaker 1: It's a really incredible story. The back in the nineteen twenties,

1330
01:14:47,840 --> 01:14:50,200
Speaker 1: half a dozen goats broke out of a petting zoo

1331
01:14:50,280 --> 01:14:53,639
Speaker 1: and Custer State Park. I heard this before, no joke.

1332
01:14:54,600 --> 01:14:57,080
Speaker 1: Flash forward fifty years later. They had like a hundred

1333
01:14:57,120 --> 01:15:01,439
Speaker 1: of them and they hunted him. And they were there

1334
01:15:01,560 --> 01:15:05,479
Speaker 1: and obviously an exotic animal to the Black Hills of Dakota,

1335
01:15:06,360 --> 01:15:10,599
Speaker 1: and they hunted them and then their numbers started to dwindle.

1336
01:15:11,240 --> 01:15:14,720
Speaker 1: Uh for a handful of reasons. They augmented the population

1337
01:15:14,840 --> 01:15:18,840
Speaker 1: with an introduction from Colorado. At that point, they wanted them,

1338
01:15:18,960 --> 01:15:21,160
Speaker 1: they want them. They owned up to them. They were like,

1339
01:15:21,240 --> 01:15:25,639
Speaker 1: we like them, they're they're doing well. Let's make it happen.

1340
01:15:26,040 --> 01:15:30,400
Speaker 1: Hunting had been closed for ten years. This is our

1341
01:15:30,560 --> 01:15:35,160
Speaker 1: Tomorrow morning starts our third annual volunteer project and the

1342
01:15:35,280 --> 01:15:39,240
Speaker 1: Black Hills of South Dakota, and two thousand and fifteen

1343
01:15:39,680 --> 01:15:42,599
Speaker 1: was the first time in a decade that they decided

1344
01:15:42,600 --> 01:15:45,800
Speaker 1: to give permits out. So I like to give the

1345
01:15:45,840 --> 01:15:48,400
Speaker 1: God Alliance a little bit of credit there that we

1346
01:15:49,040 --> 01:15:52,000
Speaker 1: got boots on the ground and eyes on the hills

1347
01:15:52,800 --> 01:15:56,920
Speaker 1: and helped out a regional biologist doing some counting, doing

1348
01:15:57,000 --> 01:16:00,880
Speaker 1: some counting and doing some gender analysis. Yeah, tell us

1349
01:16:00,880 --> 01:16:03,120
Speaker 1: about that, you guys organized. I think last year. I

1350
01:16:03,160 --> 01:16:05,439
Speaker 1: try to make it, but my wife actually shared it

1351
01:16:05,520 --> 01:16:07,519
Speaker 1: with me. She found it on like the Bowsman the

1352
01:16:07,560 --> 01:16:10,680
Speaker 1: Bowsman list Serve or something like that, like the I

1353
01:16:10,720 --> 01:16:13,880
Speaker 1: don't know if that working internet thing that goes out

1354
01:16:14,080 --> 01:16:18,759
Speaker 1: to everybody. You know, it's like the Twitter, like boson

1355
01:16:19,080 --> 01:16:22,160
Speaker 1: or something on those lines. Anyways, I want my wife.

1356
01:16:22,880 --> 01:16:25,160
Speaker 1: My wife gets emails from it. It's usually good, a

1357
01:16:25,200 --> 01:16:27,920
Speaker 1: lot of good, interesting stuff going on around town. And

1358
01:16:27,960 --> 01:16:29,479
Speaker 1: I want to say, you guys were organizing like a

1359
01:16:29,560 --> 01:16:34,559
Speaker 1: big two day go count in the Craziest, big camping trip. Yes,

1360
01:16:34,720 --> 01:16:39,280
Speaker 1: we orchestrate backcountry volunteer projects and several different states. The

1361
01:16:39,360 --> 01:16:41,559
Speaker 1: one that you're referring to was in the Crazy Mountains

1362
01:16:41,680 --> 01:16:43,439
Speaker 1: last summer and the Craziest. I could talk to you

1363
01:16:44,080 --> 01:16:46,880
Speaker 1: for an hour for about the story of the Goats

1364
01:16:46,920 --> 01:16:49,560
Speaker 1: and the Craziest, but essentially that is what we do.

1365
01:16:50,000 --> 01:16:54,240
Speaker 1: We UH started a nonprofit with no money, and as

1366
01:16:54,360 --> 01:16:56,720
Speaker 1: Jeff with two percent can relate, it's a lot of

1367
01:16:56,800 --> 01:16:59,280
Speaker 1: headaches and a lot of late nights. But the thing

1368
01:16:59,360 --> 01:17:04,040
Speaker 1: that we did have was enthusiasm and momentum and passion

1369
01:17:04,439 --> 01:17:09,680
Speaker 1: and time, and we turned that into volunteer work. So

1370
01:17:10,720 --> 01:17:14,559
Speaker 1: this summer alone, we're working in several different mountain ranges

1371
01:17:14,600 --> 01:17:18,160
Speaker 1: in Montana, the Black Hills in South Dakota, the Frank

1372
01:17:18,240 --> 01:17:23,800
Speaker 1: Church Wilderness of Idaho, the Goat Rocks Wilderness of Washington,

1373
01:17:23,920 --> 01:17:29,880
Speaker 1: the Ruby Mountains of Nevada, the Willard Peak population of Utah.

1374
01:17:30,240 --> 01:17:35,679
Speaker 1: So it's bloomed into a lot of different UH real,

1375
01:17:37,120 --> 01:17:39,320
Speaker 1: real interactive volunte I was going to show up at

1376
01:17:39,360 --> 01:17:40,840
Speaker 1: that one that was up here in the Crazies, what

1377
01:17:40,880 --> 01:17:42,880
Speaker 1: would have that been? Like you would have put a

1378
01:17:42,960 --> 01:17:44,840
Speaker 1: backpack on. I would have gave you a folder and

1379
01:17:44,920 --> 01:17:46,840
Speaker 1: told you good luck, and I would have found you

1380
01:17:46,880 --> 01:17:48,719
Speaker 1: at the end of the weekend and asked what you found.

1381
01:17:48,840 --> 01:17:54,040
Speaker 1: So we divide and conquer. We we separate our volunteers

1382
01:17:54,080 --> 01:17:57,479
Speaker 1: out across the mountain range and we document every mountain

1383
01:17:57,520 --> 01:18:01,080
Speaker 1: goat side in and we tried to document the gender

1384
01:18:01,160 --> 01:18:07,960
Speaker 1: of the animal, AH, general observation, social interactions. Guess photograph

1385
01:18:08,240 --> 01:18:10,800
Speaker 1: we do. Yeah, we film them in, photograph them seat.

1386
01:18:11,400 --> 01:18:14,280
Speaker 1: It's we also have the responsibility of kind of is

1387
01:18:14,320 --> 01:18:19,400
Speaker 1: the goat healthy even if you're not a hud be

1388
01:18:19,439 --> 01:18:21,600
Speaker 1: like a fun little thing. You know people do that

1389
01:18:21,680 --> 01:18:23,720
Speaker 1: like geo cashing stuff and must go out look for

1390
01:18:23,840 --> 01:18:28,679
Speaker 1: damn go What do you think about all that pounder?

1391
01:18:29,120 --> 01:18:31,240
Speaker 1: I think it's cool, man. I got one question. Um,

1392
01:18:31,920 --> 01:18:33,960
Speaker 1: if somebody does want to do that, say they live

1393
01:18:34,000 --> 01:18:36,920
Speaker 1: in like Miami, and they're like, I really love mountain

1394
01:18:36,920 --> 01:18:38,280
Speaker 1: goats and they want to go like on one of

1395
01:18:38,320 --> 01:18:41,439
Speaker 1: these things Miami, Florida. Yeah, you're saying somewhere, Really, are

1396
01:18:41,439 --> 01:18:44,040
Speaker 1: you worried about them being a detriment? No, But like,

1397
01:18:44,200 --> 01:18:45,919
Speaker 1: say they want to go on one of these volunteer

1398
01:18:46,000 --> 01:18:48,559
Speaker 1: things right where they go and identify do you guys?

1399
01:18:49,760 --> 01:18:51,320
Speaker 1: I guess it's hard, But do you ever do like

1400
01:18:51,479 --> 01:18:54,360
Speaker 1: travel stipends for anybody? Like if you come and volunteer time,

1401
01:18:54,400 --> 01:18:56,000
Speaker 1: will help you out with a ticket or put you

1402
01:18:56,160 --> 01:18:58,040
Speaker 1: up or something like that. We're too poor for that.

1403
01:18:58,520 --> 01:19:01,960
Speaker 1: But uh no, to answer your question, No, we guys

1404
01:19:02,000 --> 01:19:04,720
Speaker 1: provide mountain house. We do not provide mountain house. I

1405
01:19:04,720 --> 01:19:09,439
Speaker 1: will provide you with a folder and you're like, I

1406
01:19:09,520 --> 01:19:11,880
Speaker 1: need that pan back, give you a hug, and I'll

1407
01:19:11,920 --> 01:19:18,400
Speaker 1: ask you for the pen bag one day though, offer that. Yeah,

1408
01:19:18,640 --> 01:19:21,479
Speaker 1: it's pretty cool. For our Idaho project this summer, we're

1409
01:19:21,520 --> 01:19:25,080
Speaker 1: working out of Yellow Pine, Idaho with the regional biologists

1410
01:19:25,080 --> 01:19:31,800
Speaker 1: out of McCall, Idaho. We have two pilots volunteering their time, airplane, fuel,

1411
01:19:31,960 --> 01:19:35,439
Speaker 1: and aircraft to the project. Serious counting. This is the

1412
01:19:35,479 --> 01:19:38,720
Speaker 1: first time in the Go to Lines history that we

1413
01:19:38,800 --> 01:19:43,880
Speaker 1: will have two fully donated airplanes surveying from above with

1414
01:19:44,040 --> 01:19:46,800
Speaker 1: boots on the ground volunteers on the mountain below. So

1415
01:19:46,960 --> 01:19:50,639
Speaker 1: how do you guys get money? Do you have like state?

1416
01:19:50,800 --> 01:19:53,560
Speaker 1: Do you get government Granswers just come from donors. So

1417
01:19:53,960 --> 01:19:58,840
Speaker 1: we have a membership base annual annual dues. UH take

1418
01:19:58,880 --> 01:20:02,200
Speaker 1: care of a lot of our operation aational expenses. What's

1419
01:20:02,240 --> 01:20:04,800
Speaker 1: it cost to join for your thirty five bucks? We

1420
01:20:04,840 --> 01:20:06,720
Speaker 1: got a three year membership for a hundred, We got

1421
01:20:06,800 --> 01:20:10,479
Speaker 1: a lifetime membership for five. We have an annual business

1422
01:20:10,520 --> 01:20:13,639
Speaker 1: sponsorship available for two hundred and fifty dollars. So companies

1423
01:20:13,680 --> 01:20:19,920
Speaker 1: like Sitka gear behind us UM and are also going

1424
01:20:20,000 --> 01:20:24,560
Speaker 1: above and beyond sponsoring our educational projects and donating to

1425
01:20:24,680 --> 01:20:30,080
Speaker 1: our conservation fund UM. Besides that, we do a trade

1426
01:20:30,080 --> 01:20:32,519
Speaker 1: show circuit every Winner, and that's kind of our bread

1427
01:20:32,600 --> 01:20:35,760
Speaker 1: and butter. We got a pretty pretty badass logo, and

1428
01:20:35,840 --> 01:20:38,439
Speaker 1: so people like our shirts and hoodies and T shirts,

1429
01:20:38,520 --> 01:20:40,200
Speaker 1: and to be honest with you, that's where a lot

1430
01:20:40,240 --> 01:20:44,639
Speaker 1: of our revenue comes from selling shirts. What's your guys website?

1431
01:20:45,439 --> 01:20:52,320
Speaker 1: We have a handful of domains and it's a backwards

1432
01:20:52,479 --> 01:20:55,760
Speaker 1: question mark and then no, it's go tolions dot org,

1433
01:20:56,560 --> 01:20:58,720
Speaker 1: r m g A dot org. Did you have any

1434
01:20:58,760 --> 01:21:03,240
Speaker 1: problem finding that dot org? Go to Alliance dot org.

1435
01:21:03,360 --> 01:21:06,320
Speaker 1: What's really funny, though, is we were talking about someone

1436
01:21:06,400 --> 01:21:10,479
Speaker 1: else has Mediator dot com or something. There's like a

1437
01:21:10,680 --> 01:21:15,120
Speaker 1: junior high school girls cheerleader squad that uses the same

1438
01:21:15,240 --> 01:21:18,680
Speaker 1: acronym rm g A. So if you look at Instagram

1439
01:21:18,840 --> 01:21:22,240
Speaker 1: hashtag rm g A, it's tons of mountain goats and

1440
01:21:22,320 --> 01:21:25,240
Speaker 1: then like twelve year old girls doing backflips. Yeah, it's

1441
01:21:25,280 --> 01:21:28,760
Speaker 1: pretty weird. But they didn't lock up your website though. No,

1442
01:21:29,760 --> 01:21:32,599
Speaker 1: tell me a get what it is Goat Alliance dot org.

1443
01:21:34,040 --> 01:21:36,600
Speaker 1: All right, So if you've drawn a goat tag and

1444
01:21:36,640 --> 01:21:39,960
Speaker 1: see this, I had to stick by this because I

1445
01:21:40,040 --> 01:21:42,720
Speaker 1: did draw a limited draw goatag in Alaska one. If

1446
01:21:42,760 --> 01:21:44,720
Speaker 1: you draw a goat tag, you have to go down

1447
01:21:44,800 --> 01:21:51,080
Speaker 1: there and kick in man, come volunteer with us, lace

1448
01:21:51,160 --> 01:21:54,240
Speaker 1: your boots up. Yeah, go look at some mountain goats.

1449
01:21:55,400 --> 01:21:57,519
Speaker 1: I love looking at mountain goat me too. I like

1450
01:21:57,600 --> 01:21:59,640
Speaker 1: how you sometimes stumble into them in weird places to

1451
01:21:59,760 --> 01:22:01,720
Speaker 1: like when snow gets deeply come down the timber a

1452
01:22:01,760 --> 01:22:05,520
Speaker 1: little bit more so. Just last week, north of Bozeman,

1453
01:22:05,960 --> 01:22:09,760
Speaker 1: a giant billy showed up just off a county road

1454
01:22:09,800 --> 01:22:12,960
Speaker 1: in the Bridger Mountains, and a buddy of mine was

1455
01:22:13,000 --> 01:22:14,920
Speaker 1: out looking for bears, and he said, you're not gonna

1456
01:22:14,960 --> 01:22:16,800
Speaker 1: believe what I'm looking at right now. It's like I

1457
01:22:16,880 --> 01:22:20,320
Speaker 1: gotta go two hundred yards off the county road. Start

1458
01:22:20,400 --> 01:22:22,599
Speaker 1: sending me pictures of it. What was he doing looking

1459
01:22:22,640 --> 01:22:26,720
Speaker 1: for bears? No? No, no, what was the goat doing eating? Yeah?

1460
01:22:26,760 --> 01:22:29,920
Speaker 1: He was just eating down in a super green gut

1461
01:22:30,400 --> 01:22:32,280
Speaker 1: right off a county road, just fed all the way

1462
01:22:32,280 --> 01:22:36,120
Speaker 1: down to the flat. Yep. So I got it. I was.

1463
01:22:36,320 --> 01:22:38,160
Speaker 1: I was at work, and I got on the horn

1464
01:22:38,240 --> 01:22:40,599
Speaker 1: and called a handful of photographers I know in town

1465
01:22:40,840 --> 01:22:43,519
Speaker 1: and one of them was free, and he bombed up

1466
01:22:43,560 --> 01:22:46,760
Speaker 1: there and photographed this thing. And it's like easily a

1467
01:22:46,840 --> 01:22:50,479
Speaker 1: twelve year old billy by himself, two yards off the

1468
01:22:50,520 --> 01:22:56,760
Speaker 1: county road and like borderline Antelope country, pretty wild. Hey

1469
01:22:56,880 --> 01:22:58,800
Speaker 1: was it you? Was it you that this guy that

1470
01:22:58,880 --> 01:23:01,120
Speaker 1: got our friend Randa will Lams into a bear? I

1471
01:23:01,840 --> 01:23:04,840
Speaker 1: did go hunting with Randall Williams this past weekend. Yes,

1472
01:23:04,920 --> 01:23:07,320
Speaker 1: and you got a bear? We got a bear. He

1473
01:23:07,400 --> 01:23:09,720
Speaker 1: was pretty excited. Oh yeah, Randall is a good friend

1474
01:23:09,760 --> 01:23:11,479
Speaker 1: of mine. Randall and I went to high school together.

1475
01:23:12,000 --> 01:23:15,479
Speaker 1: And uh, I've taken Randall bear hunt. Randall's a very

1476
01:23:15,479 --> 01:23:17,680
Speaker 1: accomplished hunter, but I have, So I shouldn't have said

1477
01:23:17,680 --> 01:23:21,760
Speaker 1: you got him into a bear? Well, I heard a

1478
01:23:21,840 --> 01:23:23,760
Speaker 1: rumor that you had found the bear. Yeah, I go

1479
01:23:23,880 --> 01:23:27,200
Speaker 1: watching the bear for about two weeks. Yeah, I'd go

1480
01:23:27,240 --> 01:23:30,320
Speaker 1: see him every night. Is that right? He's holding tight? Yeah.

1481
01:23:30,360 --> 01:23:32,560
Speaker 1: So Randall Randall's very good friend of mine, and I

1482
01:23:32,680 --> 01:23:36,799
Speaker 1: had taken Randall hunting here for bears in southwest Montana.

1483
01:23:36,960 --> 01:23:40,120
Speaker 1: This is our third year doing it. In two thousand

1484
01:23:40,240 --> 01:23:44,280
Speaker 1: fourteen and two thousand fifteen, it got real western it.

1485
01:23:44,880 --> 01:23:50,559
Speaker 1: We just had these really god awful backpacking trips where

1486
01:23:50,560 --> 01:23:53,960
Speaker 1: we got way in over our head. Uh a combination

1487
01:23:54,040 --> 01:23:57,200
Speaker 1: of weather and trying to figure out new hunting spots

1488
01:23:57,360 --> 01:23:59,880
Speaker 1: and it was just a total goat rope and never

1489
01:24:00,080 --> 01:24:03,240
Speaker 1: got Randall of bear. And it was kind of on

1490
01:24:03,439 --> 01:24:06,400
Speaker 1: me because I was showing him around my hunting spots,

1491
01:24:06,439 --> 01:24:09,280
Speaker 1: you know, and we got ourselves into some pretty god

1492
01:24:09,360 --> 01:24:13,519
Speaker 1: awful situations on a handful of different occasions this year.

1493
01:24:13,760 --> 01:24:16,760
Speaker 1: I was like, I knew when he was coming. I

1494
01:24:16,920 --> 01:24:19,720
Speaker 1: was gonna drop everything to make it happen, and so

1495
01:24:19,880 --> 01:24:24,840
Speaker 1: we did. We invested a lot of time scouting before. Yeah,

1496
01:24:24,880 --> 01:24:26,880
Speaker 1: we found a bunch of them, but this one was

1497
01:24:27,760 --> 01:24:32,160
Speaker 1: extremely consistent. It took us five and a half hours

1498
01:24:32,280 --> 01:24:34,880
Speaker 1: to get to him. Randall shot him at four hundred

1499
01:24:34,880 --> 01:24:37,680
Speaker 1: and thirty one yards five and a half hours to

1500
01:24:37,720 --> 01:24:39,280
Speaker 1: get over to him, or to get to hike up

1501
01:24:39,320 --> 01:24:41,160
Speaker 1: into where he was. Took us five and a half

1502
01:24:41,240 --> 01:24:45,000
Speaker 1: hours when I left the truck to when we put

1503
01:24:45,040 --> 01:24:47,599
Speaker 1: a rifle on the ground to shoot. It was far.

1504
01:24:48,600 --> 01:24:50,679
Speaker 1: It's easy to put a spot in scope on something.

1505
01:24:50,800 --> 01:24:53,519
Speaker 1: It's a little tougher to walk over to him. Yeah,

1506
01:24:53,520 --> 01:24:55,320
Speaker 1: we used to wind up, like when I used to

1507
01:24:55,320 --> 01:24:58,320
Speaker 1: do a lot of spring bear hunting here, we'd wind up.

1508
01:24:58,400 --> 01:25:00,880
Speaker 1: Just got some miserable situation his band because the weather

1509
01:25:01,000 --> 01:25:03,320
Speaker 1: was very erratic. Oh my gosh. Yeah, we were hiking

1510
01:25:03,360 --> 01:25:08,000
Speaker 1: and anywhere from two inches to two ft of snow.

1511
01:25:08,240 --> 01:25:10,559
Speaker 1: We got some snow late last week and it's stuck.

1512
01:25:11,479 --> 01:25:14,680
Speaker 1: So our whole hike was in the snow and it

1513
01:25:14,760 --> 01:25:16,559
Speaker 1: was pretty shallow. But then you get on the north

1514
01:25:16,680 --> 01:25:19,439
Speaker 1: face and you'd be up to your hip until this stuff,

1515
01:25:19,479 --> 01:25:21,679
Speaker 1: and it's just miserable. Remember that, just on a getting

1516
01:25:21,680 --> 01:25:24,560
Speaker 1: off again with snow shoes. I'm not smart enough to

1517
01:25:24,560 --> 01:25:27,720
Speaker 1: carry those. I just post hole my Oh yeah, man,

1518
01:25:27,800 --> 01:25:30,320
Speaker 1: it's nice that spring snow. You can just grease across

1519
01:25:31,560 --> 01:25:34,559
Speaker 1: all right, Sonny, Chris, Uh, Chris, Gil Yet you got

1520
01:25:34,640 --> 01:25:40,680
Speaker 1: concluding thoughts? Uh, you're thinking about dinner. Yeah, I kind

1521
01:25:40,720 --> 01:25:44,160
Speaker 1: of think about dinner, enjoy the conversation, learned a whole bunch.

1522
01:25:44,720 --> 01:25:49,240
Speaker 1: I like learning. I want to hear more about Uh

1523
01:25:52,520 --> 01:25:54,920
Speaker 1: oh yeah, I do. You don't have that point, No, no,

1524
01:25:55,160 --> 01:25:57,840
Speaker 1: I do. It's kind of off topic, but it kind

1525
01:25:57,880 --> 01:26:00,960
Speaker 1: of goes back to the suffering. Um on that first

1526
01:26:01,000 --> 01:26:04,679
Speaker 1: shoot that I was on a b C. We're talking

1527
01:26:04,680 --> 01:26:08,160
Speaker 1: about like observing, observing animals, and I'd like never seen

1528
01:26:08,960 --> 01:26:11,200
Speaker 1: why I'd seem like a black bear on a ski

1529
01:26:11,360 --> 01:26:14,519
Speaker 1: lift in the summertime. He was riding the ski lift. No, yeah, yeah,

1530
01:26:14,520 --> 01:26:19,040
Speaker 1: he was sitting um, but I had not ever seen

1531
01:26:19,160 --> 01:26:22,960
Speaker 1: like a wild grizzly bear, and like we saw one

1532
01:26:23,000 --> 01:26:25,000
Speaker 1: one of those early days. But then it was like,

1533
01:26:25,560 --> 01:26:29,040
Speaker 1: uh we saw that pack that dude came in on top. Yeah,

1534
01:26:29,280 --> 01:26:31,840
Speaker 1: and that one was really that was cool, man. And

1535
01:26:31,920 --> 01:26:34,280
Speaker 1: then it was just like after that week of fog

1536
01:26:34,400 --> 01:26:37,160
Speaker 1: and rain and snow and hail and like the whole thing,

1537
01:26:37,360 --> 01:26:41,160
Speaker 1: and then we're just seeing those ones like feeding and

1538
01:26:41,240 --> 01:26:43,720
Speaker 1: flipping boulders over and just moving. It was like so

1539
01:26:44,040 --> 01:26:49,439
Speaker 1: worth all that gnarly suffering just like watching it, you know,

1540
01:26:49,880 --> 01:26:51,639
Speaker 1: And I don't know if that's just because I don't

1541
01:26:51,640 --> 01:26:54,240
Speaker 1: get to do that often. But no, dude, it's magical

1542
01:26:54,280 --> 01:26:57,120
Speaker 1: to watch. Yeah. Magic was a good word. It's it's

1543
01:26:57,160 --> 01:26:59,320
Speaker 1: magical to watch them. One of the things I wanted

1544
01:26:59,320 --> 01:27:00,840
Speaker 1: to talk about, We're gonna have to save it as

1545
01:27:00,880 --> 01:27:05,000
Speaker 1: I was gonna talk about some current political issues surrounding

1546
01:27:05,080 --> 01:27:10,439
Speaker 1: that animal. But um, yeah, man, it's cool. It's it's uh,

1547
01:27:11,320 --> 01:27:17,080
Speaker 1: it's you feel privileged. Yeah, that's the word. Especially outside

1548
01:27:17,120 --> 01:27:19,560
Speaker 1: of the park. Oh yeah, you know. We used to

1549
01:27:19,560 --> 01:27:22,400
Speaker 1: always have a thing like when people be like, oh

1550
01:27:22,439 --> 01:27:25,519
Speaker 1: I saw a blank, we didn't count it if you

1551
01:27:25,560 --> 01:27:28,000
Speaker 1: saw in the park. So you'd be like, have you

1552
01:27:28,080 --> 01:27:29,920
Speaker 1: ever seen a wolf and be like, oh yeah, in

1553
01:27:30,120 --> 01:27:43,519
Speaker 1: the park, Like that's not I'm talking about the real ones. Man. Yeah, yeah,

1554
01:27:43,920 --> 01:27:46,160
Speaker 1: that's it. That's all I got. You don't want to

1555
01:27:46,200 --> 01:27:48,120
Speaker 1: plug your new Fish to Eat T shirts ever? Sale?

1556
01:27:48,320 --> 01:27:51,639
Speaker 1: It is, I like it. It's not selling. People don't

1557
01:27:51,640 --> 01:27:53,320
Speaker 1: want to fish to Eat shirt. Yeah, And we forgot

1558
01:27:53,400 --> 01:27:56,719
Speaker 1: to get that picture today. I clad to Whitey today

1559
01:27:56,800 --> 01:27:58,680
Speaker 1: on the head man, I had my T shirt on it,

1560
01:27:58,840 --> 01:28:01,639
Speaker 1: and we totally forgot he's something on a mountain. Whitefish

1561
01:28:01,760 --> 01:28:06,240
Speaker 1: not whitefish. Yeah, people don't like a fish to eat shirt. Well,

1562
01:28:07,439 --> 01:28:09,280
Speaker 1: you know what it is, We're probably just not marketing

1563
01:28:09,320 --> 01:28:11,760
Speaker 1: it properly. They might like it better if you gave

1564
01:28:11,960 --> 01:28:19,240
Speaker 1: all the proceeds back. That's right, they start giving them away. Um,

1565
01:28:20,320 --> 01:28:22,519
Speaker 1: I got yeah, that would be my concluding thought. Is

1566
01:28:22,600 --> 01:28:25,559
Speaker 1: today fishing as much as I'm always talking about, how like, yeah,

1567
01:28:25,960 --> 01:28:28,200
Speaker 1: that five fishing, I'm not gonna I'm not that into

1568
01:28:28,240 --> 01:28:31,680
Speaker 1: five fishing anymore. I was enjoying. I was telling Chris.

1569
01:28:31,720 --> 01:28:33,160
Speaker 1: I was like, you know, I'm not really into like,

1570
01:28:33,240 --> 01:28:34,960
Speaker 1: I don't need to catch a bunch of fish right now.

1571
01:28:35,040 --> 01:28:37,680
Speaker 1: But standing here waters washing, rushing around, they got a

1572
01:28:37,760 --> 01:28:41,639
Speaker 1: nice view. There's something nice about this. I'm having fun.

1573
01:28:42,240 --> 01:28:44,000
Speaker 1: And then I caught a fish and then all of

1574
01:28:44,000 --> 01:28:47,680
Speaker 1: a sudden, man, I was just like change, yeah, man,

1575
01:28:47,760 --> 01:28:50,800
Speaker 1: my focus got into like like all right, I'm gonna

1576
01:28:50,840 --> 01:28:53,519
Speaker 1: really pick apart this riffle now, and just started like

1577
01:28:53,720 --> 01:28:55,680
Speaker 1: you know, getting all technical, and I could feel this

1578
01:28:55,880 --> 01:28:58,240
Speaker 1: like energy, and I was like, man, I really didn't

1579
01:28:58,280 --> 01:29:00,720
Speaker 1: like what you caught the fish though, Yeah, because I've

1580
01:29:00,800 --> 01:29:05,400
Speaker 1: noticed that fishing with people, how when someone catches the fish,

1581
01:29:05,560 --> 01:29:07,800
Speaker 1: all the lazy asses all of a sudden start fishing

1582
01:29:07,840 --> 01:29:16,240
Speaker 1: hard for twenty minutes. You'd all interested all such you

1583
01:29:16,320 --> 01:29:22,200
Speaker 1: watch the kind of fade away, you know. Yeah, concluding though, Pete, Well,

1584
01:29:22,240 --> 01:29:28,639
Speaker 1: it John Muir's birthday, so he uh, he was born

1585
01:29:28,680 --> 01:29:31,400
Speaker 1: on the day Prince died. It's a weird way to

1586
01:29:31,439 --> 01:29:34,559
Speaker 1: look at it, but it's extremely factor. That would mean

1587
01:29:34,640 --> 01:29:37,120
Speaker 1: nothing to him. No, he wouldn't be too concerned about that.

1588
01:29:37,400 --> 01:29:41,599
Speaker 1: I'd say, what prints, So tell me about that. What's

1589
01:29:41,640 --> 01:29:48,160
Speaker 1: that mean to you? Well? John Muir's extremely uh inspirational

1590
01:29:48,320 --> 01:29:53,679
Speaker 1: conservationists that I look up to, and you know, founder

1591
01:29:53,720 --> 01:29:58,599
Speaker 1: of the Sierra Club and everything that he's done. And yeah,

1592
01:29:58,760 --> 01:30:01,000
Speaker 1: just my social media got blowing up with John Mire

1593
01:30:01,120 --> 01:30:02,920
Speaker 1: quotes today. It was awesome. Sorry is he has some

1594
01:30:02,960 --> 01:30:04,840
Speaker 1: good ones? Oh? I got like six in my head

1595
01:30:04,960 --> 01:30:06,200
Speaker 1: right now. Can you give me one or two? I

1596
01:30:06,200 --> 01:30:09,320
Speaker 1: think my favorite one I read today, I hadn't heard

1597
01:30:09,360 --> 01:30:12,200
Speaker 1: it yet. Everybody knows the mountains are calling and I

1598
01:30:12,280 --> 01:30:15,360
Speaker 1: gotta go and whatever. And the one I heard today

1599
01:30:15,360 --> 01:30:19,599
Speaker 1: I've never heard before. It was between every two pines

1600
01:30:20,040 --> 01:30:23,200
Speaker 1: is a doorway to a new world. And that kind

1601
01:30:23,240 --> 01:30:25,800
Speaker 1: of struck home for me. I like, I like walking

1602
01:30:25,840 --> 01:30:30,360
Speaker 1: through the woods. You get anymore? I said, I had six, right,

1603
01:30:30,479 --> 01:30:35,600
Speaker 1: So I no, I think that's it. I guess my

1604
01:30:35,680 --> 01:30:38,320
Speaker 1: only ending note would be, uh, you know, I like

1605
01:30:38,439 --> 01:30:40,439
Speaker 1: there was a miracle. I like when he was going

1606
01:30:40,560 --> 01:30:44,559
Speaker 1: up I can't remember it, but he was went up nearer.

1607
01:30:44,600 --> 01:30:47,960
Speaker 1: I have a cabin in Alaska, and he had talked

1608
01:30:48,000 --> 01:30:50,360
Speaker 1: about I'm gonna mutilate it. But he had talked about,

1609
01:30:50,600 --> 01:30:54,680
Speaker 1: um that the islands. You know, there's so many of them.

1610
01:30:54,760 --> 01:30:57,320
Speaker 1: They look scattered like someone who had been sowing seed.

1611
01:30:57,880 --> 01:31:00,439
Speaker 1: Oh but I remember the quote. It was a doozy

1612
01:31:00,479 --> 01:31:05,400
Speaker 1: though talk about a visual Wow, good stuff. Do you

1613
01:31:05,439 --> 01:31:08,840
Speaker 1: have any concluding thoughts? Yeah, you know, I'm going to

1614
01:31:08,880 --> 01:31:14,120
Speaker 1: offer some postive nights super still thinking about getting my

1615
01:31:14,200 --> 01:31:16,679
Speaker 1: dual citizenship over here. I'm figuring out what the value

1616
01:31:16,760 --> 01:31:20,400
Speaker 1: is going to be. Uh you know, my mind is

1617
01:31:20,560 --> 01:31:22,639
Speaker 1: just running and thinking about how the heck we can

1618
01:31:24,920 --> 01:31:27,519
Speaker 1: well I think too too concluding thoughts. I'm really interested

1619
01:31:27,520 --> 01:31:29,800
Speaker 1: in how we can educate people to not jo Nanny's Like,

1620
01:31:29,840 --> 01:31:31,680
Speaker 1: that's a tough one, Like what do you what do

1621
01:31:31,720 --> 01:31:35,040
Speaker 1: you do to people? Here's all it takes in my mind.

1622
01:31:35,320 --> 01:31:40,720
Speaker 1: Like I generally feel that people with notable exceptions, I

1623
01:31:40,920 --> 01:31:45,200
Speaker 1: generally feel that people want to do the right thing. Okay.

1624
01:31:45,600 --> 01:31:53,200
Speaker 1: People are generally very receptive to information that will help

1625
01:31:53,280 --> 01:31:58,519
Speaker 1: them do a better job in life in the out

1626
01:31:58,560 --> 01:32:02,559
Speaker 1: of doors, especially if you can say and here's why

1627
01:32:02,880 --> 01:32:06,400
Speaker 1: that matters. Yeah, I don't disagree. I think yeah, I

1628
01:32:06,400 --> 01:32:07,640
Speaker 1: mean it has to take it. I think that's what

1629
01:32:07,720 --> 01:32:09,960
Speaker 1: you've you've discuss is how do we deliver what is

1630
01:32:10,000 --> 01:32:11,920
Speaker 1: that better information? How do you deliver it to people?

1631
01:32:13,040 --> 01:32:15,080
Speaker 1: Get them to actually read it? People don't read stuff

1632
01:32:15,720 --> 01:32:18,519
Speaker 1: that type of stuff. Remember like with the with the

1633
01:32:18,960 --> 01:32:22,800
Speaker 1: with the grizzly brown bear thing. I remember watching the

1634
01:32:22,880 --> 01:32:28,840
Speaker 1: thing put out by UM the Wildlife Management Agency and

1635
01:32:28,960 --> 01:32:33,680
Speaker 1: Yukon saying that if UM we restricted the harvest to

1636
01:32:33,720 --> 01:32:37,760
Speaker 1: mails only, we'd have three times as made bear text.

1637
01:32:38,560 --> 01:32:41,640
Speaker 1: I think, I think Alaska. I think, I know I

1638
01:32:41,640 --> 01:32:44,000
Speaker 1: could be wrong, could this up? But they have Alaska

1639
01:32:44,200 --> 01:32:46,280
Speaker 1: Parting Fish Game put out this. It's like an hour

1640
01:32:46,360 --> 01:32:50,120
Speaker 1: long video all about identifying bore for brown bear hunts.

1641
01:32:50,400 --> 01:32:53,679
Speaker 1: But I think right, maybe it was. And I believe

1642
01:32:53,720 --> 01:32:56,120
Speaker 1: they require you to have it to watch it, don't

1643
01:32:56,160 --> 01:33:00,160
Speaker 1: I mean loosely require you. But I say you watch

1644
01:33:00,439 --> 01:33:02,120
Speaker 1: some bitch of thousand times and still look at a

1645
01:33:02,160 --> 01:33:04,639
Speaker 1: bear and like, man, I cannot tell every bear looks

1646
01:33:04,720 --> 01:33:08,519
Speaker 1: big when it's alive. But the p thing it's good stuff.

1647
01:33:08,960 --> 01:33:11,720
Speaker 1: Oh yeah, I've heard a lot of people, a lot

1648
01:33:11,720 --> 01:33:13,760
Speaker 1: of people say about observing bears, like do you really

1649
01:33:13,840 --> 01:33:16,680
Speaker 1: want to know? Wait for pete. But the problem on

1650
01:33:16,800 --> 01:33:18,519
Speaker 1: bears like a goat, you might have a long time

1651
01:33:18,560 --> 01:33:19,840
Speaker 1: to watch the goat and you might be able to

1652
01:33:19,960 --> 01:33:22,599
Speaker 1: find him again tomorrow. Bears Man a lot of times

1653
01:33:23,720 --> 01:33:25,519
Speaker 1: and I disappeared. Maybe it's just like there he is.

1654
01:33:25,600 --> 01:33:27,040
Speaker 1: Then it's like then you look for him for a

1655
01:33:27,080 --> 01:33:29,559
Speaker 1: week and you never find him again. What was your

1656
01:33:29,560 --> 01:33:31,880
Speaker 1: You got a second concluding thought? Yeah, so my my

1657
01:33:32,040 --> 01:33:35,960
Speaker 1: last thought for the concluding concluding including thought for this

1658
01:33:36,160 --> 01:33:39,040
Speaker 1: shameless plug is this to your your question, Chris, about

1659
01:33:39,320 --> 01:33:44,280
Speaker 1: that guy in Florida that wants to volunteer, got it?

1660
01:33:44,960 --> 01:33:46,880
Speaker 1: That guy more than wants to volunteer, And here you

1661
01:33:47,000 --> 01:33:49,479
Speaker 1: are struggling to get volunteers and and part of the

1662
01:33:49,600 --> 01:33:51,639
Speaker 1: organization two percent that we're trying to do, it's it's

1663
01:33:51,680 --> 01:33:56,040
Speaker 1: foster all this this volunteerism is that I'm just excited

1664
01:33:56,040 --> 01:33:58,560
Speaker 1: to hear about those questions and and hopefully what we

1665
01:33:58,600 --> 01:34:01,080
Speaker 1: can accomplish is is can acting that guy up with

1666
01:34:01,240 --> 01:34:06,280
Speaker 1: this organization and getting people out there to to get involved. Yeah,

1667
01:34:06,320 --> 01:34:09,040
Speaker 1: you could get some contractor that gives a ship to

1668
01:34:09,120 --> 01:34:13,439
Speaker 1: fly Chris out from Chicago out here to help. Did

1669
01:34:13,479 --> 01:34:15,519
Speaker 1: you have someone in mind in Miami? No, I just

1670
01:34:15,640 --> 01:34:18,120
Speaker 1: it's far away. Just feel like feel like a far

1671
01:34:18,160 --> 01:34:20,160
Speaker 1: away place. I mean, I'll sweet to be that guy

1672
01:34:20,240 --> 01:34:22,280
Speaker 1: that he works for a business in Miami and that

1673
01:34:22,439 --> 01:34:25,840
Speaker 1: that business is telling all the employees like, go along too,

1674
01:34:25,880 --> 01:34:28,960
Speaker 1: We're gonna pay you today. Go put the Montan account goats.

1675
01:34:29,600 --> 01:34:34,800
Speaker 1: I like it. It's yeah, doing stuff. I uh, let

1676
01:34:34,840 --> 01:34:40,240
Speaker 1: me start that thought over. I reaped the benefits quite literally,

1677
01:34:40,360 --> 01:34:47,680
Speaker 1: reaped the benefits of the out of doors for decades

1678
01:34:49,920 --> 01:34:56,479
Speaker 1: before I ever thought about settling up the debt that

1679
01:34:56,640 --> 01:35:01,679
Speaker 1: I had a crude during a life time of amazing

1680
01:35:01,760 --> 01:35:05,760
Speaker 1: adventures and seeing things that no one's ever seen and

1681
01:35:06,479 --> 01:35:08,760
Speaker 1: doing stuff that I will think about it for the

1682
01:35:08,800 --> 01:35:11,560
Speaker 1: rest of my life. It's just like I think that

1683
01:35:11,720 --> 01:35:14,720
Speaker 1: people get to a point when they go like, holy shit,

1684
01:35:14,880 --> 01:35:20,320
Speaker 1: have I had it good? You know, maybe it's about

1685
01:35:20,520 --> 01:35:25,880
Speaker 1: time I don't just think about everything that that the

1686
01:35:25,920 --> 01:35:28,800
Speaker 1: outdoors is going to give to me, pay it forward. Yeah,

1687
01:35:29,720 --> 01:35:31,960
Speaker 1: it hits people. I mean some people. It doesn't some

1688
01:35:32,080 --> 01:35:35,240
Speaker 1: people that hit the young. But uh, I think that

1689
01:35:35,280 --> 01:35:39,160
Speaker 1: in some way, you know, organizations like like what you

1690
01:35:39,200 --> 01:35:40,640
Speaker 1: guys are trying to do it just to sort of

1691
01:35:40,720 --> 01:35:43,800
Speaker 1: say to people, listen, man, and I say this all

1692
01:35:43,800 --> 01:35:47,160
Speaker 1: the time. We live in the good old days, by

1693
01:35:47,520 --> 01:35:53,160
Speaker 1: many standards, by many measurements. Right now it's the good

1694
01:35:53,160 --> 01:35:56,240
Speaker 1: old days. There's a tremendous amount of opportunity out there.

1695
01:35:56,240 --> 01:35:58,000
Speaker 1: It's a lot of elk in North America right now.

1696
01:35:58,120 --> 01:36:02,160
Speaker 1: It's just but it's not by accident. It was by

1697
01:36:02,200 --> 01:36:04,800
Speaker 1: accident a d fifty years not by accident. It was

1698
01:36:05,400 --> 01:36:09,720
Speaker 1: there a hundred fifty years ago. We messed it up.

1699
01:36:11,000 --> 01:36:14,240
Speaker 1: It was built back. I'm speaking very specifically to the US.

1700
01:36:14,600 --> 01:36:18,840
Speaker 1: It was built back from the ground up. The resources,

1701
01:36:18,920 --> 01:36:21,760
Speaker 1: hunting and fishing resources we have in large measure by

1702
01:36:21,840 --> 01:36:26,560
Speaker 1: hunters and fishermen. That needs to be continued because it

1703
01:36:26,600 --> 01:36:29,800
Speaker 1: can very easily go in the other direction. Yep, yep,

1704
01:36:30,880 --> 01:36:33,360
Speaker 1: you got it. And so I remember my fourth bullet

1705
01:36:33,360 --> 01:36:36,400
Speaker 1: point right which ding ties right in, because I was

1706
01:36:36,479 --> 01:36:37,960
Speaker 1: thinking a lot I was taking a lot less of

1707
01:36:37,960 --> 01:36:41,160
Speaker 1: you through. Don't even know what's on the website that

1708
01:36:41,200 --> 01:36:46,040
Speaker 1: I wrote, but but it's recruitment and retention. It's about

1709
01:36:46,439 --> 01:36:51,240
Speaker 1: you know, getting youth, minorities, middle aged people who have

1710
01:36:51,320 --> 01:36:53,400
Speaker 1: never hunted or add the opportunity hunting fish. You know,

1711
01:36:53,520 --> 01:36:55,560
Speaker 1: how do we how do we get people involved and

1712
01:36:55,680 --> 01:36:58,280
Speaker 1: educate them on what controvation is and the way our

1713
01:36:58,360 --> 01:37:00,760
Speaker 1: our model of conservation funny of our state and wild

1714
01:37:00,840 --> 01:37:04,479
Speaker 1: life agenctates works. We need people to buy it, fishing licenses,

1715
01:37:04,560 --> 01:37:08,880
Speaker 1: hunting tags. Right, So so what are we doing? Very

1716
01:37:08,960 --> 01:37:11,120
Speaker 1: little hard funding from the states. Right If people are

1717
01:37:11,600 --> 01:37:15,000
Speaker 1: people aren't fishing, hunting, then then they're struggling and funding.

1718
01:37:15,040 --> 01:37:18,760
Speaker 1: So so recruitment and and getting new people involved in

1719
01:37:18,840 --> 01:37:20,920
Speaker 1: hunting and taking somebody out to fish for their first

1720
01:37:21,000 --> 01:37:25,960
Speaker 1: time so important. So organizations that that are have programs

1721
01:37:26,080 --> 01:37:29,120
Speaker 1: that that focus on that type of activity are are crucial.

1722
01:37:30,479 --> 01:37:34,000
Speaker 1: All right, Get any last because there's a lot built

1723
01:37:34,080 --> 01:37:36,880
Speaker 1: up after your concluding thought. I don't have a concluding thought,

1724
01:37:36,920 --> 01:37:38,920
Speaker 1: and I kind of gave my concluding thought, oh thought,

1725
01:37:38,920 --> 01:37:45,280
Speaker 1: yours is great about you know what to get back

1726
01:37:45,479 --> 01:37:49,320
Speaker 1: those get concluding thought though. All right, thank you guys

1727
01:37:49,400 --> 01:37:51,800
Speaker 1: for coming down, Thank you for having Thank you very

1728
01:37:51,880 --> 01:37:52,519
Speaker 1: much for having us