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Speaker 1: Welcome to the Wired to Hunt podcast, your home for

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Speaker 1: deer hunting news, stories and strategies, and now your host,

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Speaker 1: Mark Kenyon. Welcome to the Wired Hunt podcast. I'm your host,

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Speaker 1: Mark Kenyan. This is episode number one one tan the show.

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Speaker 1: We are joined by Randy Newburgh and we're discussing my

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Speaker 1: very first black bear hunt, Western white tales, and the

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Speaker 1: latest in conservation and public lands issues. All right, welcome

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Speaker 1: to the Wired Hunt podcast, brought to you by sit

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Speaker 1: Ka Gear. And today on the show, I am joined

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Speaker 1: by a very special guest, and that's someone we mentioned

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Speaker 1: just a bit last week, Randy Newburgh. And you know

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Speaker 1: Randy as a previous guest on the podcast, I think

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Speaker 1: in two different episodes. But Randy is also the host

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Speaker 1: of the television show Fresh Tracks with Randy Newberg. He's

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Speaker 1: the host of the Hunt Talk radio podcast and one

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Speaker 1: of the premier spokesman and defenders of hunting, public lands

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Speaker 1: and conservation in North America. And I was recently lucky

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Speaker 1: to be able to head out on a public land

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Speaker 1: black bear hunt with Randy. So in today's episode, Randy

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Speaker 1: joins me to discuss our little adventure, and he's going

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Speaker 1: to share some spot and stock black bear one on

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Speaker 1: one info as well in case anyone else wants to

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Speaker 1: try to hunt like this in the future. We also

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Speaker 1: talk Western white tales, and then finally we wrap up

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Speaker 1: the show by discussing the latest events related to the

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Speaker 1: future of hunting and public lands conservation and a few

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Speaker 1: of our thoughts on these issues that are likely to

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Speaker 1: impact all of our ability to hunt and fish and

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Speaker 1: recreate in the outdoors in the future. So that is

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Speaker 1: the game plan, and this one was a lot of

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Speaker 1: fun record. I hope you all enjoy just you know,

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Speaker 1: half as much listening to this as we did actually

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Speaker 1: sitting down and recording this with the mic. So with that,

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Speaker 1: I do want to briefly pause to thank our partners

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Speaker 1: at Sick of Gear for the support of this podcast.

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Speaker 1: You know, last week I mentioned that our sikest story

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Speaker 1: today would be related to that blackbird hunt I was

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Speaker 1: headed out on, and I mentioned that it might be

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Speaker 1: able to share some audio from that hunt. Unfortunately I

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Speaker 1: do not have that. So this whole episode though, really

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Speaker 1: is a sick of story, as both Randy and I

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Speaker 1: depended on Sick of Gear for this hunt and the

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Speaker 1: experiences that were about to share with you. But I'll

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Speaker 1: mention one technical gear thing that that happened for me

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Speaker 1: on this hunt. And it was on the second day,

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Speaker 1: and it was down down the valley. It was probably

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Speaker 1: high sixties, really sunny, really warm, and when I was

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Speaker 1: loading up my pack, I had this kind of dilemma.

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Speaker 1: I wasn't sure how many extra warm layers I wanted

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Speaker 1: to put in my pack, because right now was warm,

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Speaker 1: it was hot. I didn't want to have a bunch

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Speaker 1: of stuff in my pack. So I sat there and

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Speaker 1: kind of debated this for a second. But when I

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Speaker 1: looked at my insulating layers, I had a Kelvin light jacket.

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Speaker 1: It's so small, also light, it packs up right into

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Speaker 1: its pocket. I was like, you know, what, screw it,

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Speaker 1: I'm bringing that just in case. It's so small, so light,

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Speaker 1: I don't think I'm really gonna, you know, be inconvenienced

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Speaker 1: by this. So I threw that in the pack just

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Speaker 1: in case it cooled down, and lo and behold it.

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Speaker 1: Did you know? When I was high up on that

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Speaker 1: mountain glass and for bears, the wind came up, the

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Speaker 1: temperatures went down, and it got really cold. Luckily I

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Speaker 1: had that jacket. I pulled that out pulled that over

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Speaker 1: and I can't tell you how happy I was to

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Speaker 1: be able to glass and be just wrapped up in

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Speaker 1: this blanket of warmth from that jacket. So it was

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Speaker 1: a great reminder of how important layering is and and

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Speaker 1: just knowing and having the right layers for the conditions

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Speaker 1: you might face and be able to change out that

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Speaker 1: system as those conditions change. So with all that said,

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Speaker 1: if you would like to learn more about sick Is

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Speaker 1: Technical hunting apparel, you can visit sick gear dot com

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Speaker 1: and just f y I. There are new two thousand

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Speaker 1: seventeen products have just hit their website and are now available,

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Speaker 1: so you can head over their ACEP to check the

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Speaker 1: is out if you're interested. And now for the rest

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Speaker 1: of my sick of story, my very first spring spotting

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Speaker 1: stock black Bear hunt. Here's myself in Randy Newburg recording

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Speaker 1: in Bozeman, Montana, and we are back now in studio

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Speaker 1: in person with Randy Newburg. Thank you Randy for doing this.

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Speaker 1: Thanks for being here. Mark. I won't even charge Janny

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Speaker 1: rent from my studio here. That's a good deal because

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Speaker 1: this is nice. This is much nicer than my usual

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Speaker 1: digs and and really a lot nicer than where I've

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Speaker 1: been recording the last two weeks. Last week I recorded

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Speaker 1: in my truck pulled off on the side of the

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Speaker 1: road in Livingston, and I think two weeks before that,

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Speaker 1: I was in a campground parking lot in the truck,

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Speaker 1: using the juice off of like a little cigarette adapter

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Speaker 1: to keep the whole thing running. So this is a

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Speaker 1: big upgrade. Yeah. For those who don't know, we're sitting

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Speaker 1: in my c p A office here in Bozeman, Montana,

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Speaker 1: right now, in the quiet room. This this room right here,

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Speaker 1: because this is where we hold client conferences and it's

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Speaker 1: obviously confidentiality, the big deal. That's why this room has

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Speaker 1: sound proved, so it sounds like a studio. It's it's

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Speaker 1: very nice, so it's it's really good. So, but there

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Speaker 1: are no dead animals hanging on the wall here. No,

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Speaker 1: there's a couple of nice pictures. Yeah, but we need this.

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Speaker 1: This room needs some dead animals. Could you bring some

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Speaker 1: Randy Newberg flavor to it? I would like to, But

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Speaker 1: since my name is not out on the front door

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Speaker 1: anymore since I sold my partnership interest, something tells me

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Speaker 1: those might end up in the trash. It's uh, it's

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Speaker 1: how do I say this. I'm very lucky, I think,

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Speaker 1: to be here right now talking to you about this stuff,

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Speaker 1: because you have just been incredibly generous of your time

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Speaker 1: this past week with me, and I just need to

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Speaker 1: start by thanking you for that, because this all started

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Speaker 1: because I was going to have coffee with you the

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Speaker 1: other day and we're just gonna catch up a little

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Speaker 1: bit and talk about, um, some local knowledge I had

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Speaker 1: that might be helpful to you and your son and

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Speaker 1: just other things. And somehow that coffee lead to multiple

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Speaker 1: hunts and a podcast and me just taking all sorts

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Speaker 1: of your time. So I don't think you know what

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Speaker 1: you're getting into way, but do you agree to get coffee?

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Speaker 1: You might be regretting it now. Actually, my wife said,

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Speaker 1: don't you have something to do? And I looked up

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Speaker 1: and I saw that Mark Kenyon was in the neighborhood.

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Speaker 1: I said, well, there's something to do. I'll take Mark

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Speaker 1: on some hikes every evening and and I'll take him

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Speaker 1: to what I pretend are my favorite bear spots and

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Speaker 1: we won't see a bear. I'm sorry, Mark, I don't

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Speaker 1: know what I did wrong. You don't need to apologize

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Speaker 1: one bit, because this was my very first bear hunt,

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Speaker 1: and it was a really cool experience. So what I

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Speaker 1: was hoping we could do here was talk about what

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Speaker 1: we did, how we did it, how it went. UM.

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Speaker 1: But then I also wanted to dive a little bit

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Speaker 1: into the how to part of it because I've never

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Speaker 1: gone bear hunting before this, and so before I knew

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Speaker 1: I was going to go with you, I was planning

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Speaker 1: on just going out there solo on my own. So

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Speaker 1: I was reading every article I could find, and watching

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Speaker 1: YouTube videos and and just trying to figure out how

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Speaker 1: am I going to find some black bears on my

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Speaker 1: own here in the spring? UM, which was a little

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Speaker 1: bit done. There's not as much information online about doing

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Speaker 1: your own spring black bear hunts as I would have

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Speaker 1: thought they'd be. UM, So for anyone listening, I'm hoping

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Speaker 1: we can give some people kind of a one on

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Speaker 1: one of Hey, if you want to go out here

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Speaker 1: and try something like this, which which I highly recommend, now, um,

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Speaker 1: how can they do that? So I'm hoping we can

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Speaker 1: get into that too, And then just don't follow Randy

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Speaker 1: Newburg around if you want to see black bears. I

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Speaker 1: learned that the hard way. That's cool because you came

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Speaker 1: to Montiana, you bought your bear tag over the counter.

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Speaker 1: Our season opens here statewide April fifteen, and there's place

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Speaker 1: I shouldn't say statewide. Each there's some places that have

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Speaker 1: different opening dates and different closing dates, but the general

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Speaker 1: rule is from April fifteenth to June spring bear season

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Speaker 1: is open. And in Montana you can't bait and you

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Speaker 1: can't use hounds, Whereas if you go over to the

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Speaker 1: border just west of here in Idaho, most of their

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Speaker 1: unit it's not all you can bait, and some of

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Speaker 1: them you can use hounds. You go south of us

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Speaker 1: here in Wyoming and it's just about every unit you

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Speaker 1: can bait, but I don't know about the use of

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Speaker 1: hounds in Wyoming. So but all three of those states

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Speaker 1: are over the counter. It's pretty cool, and it's it's

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Speaker 1: very very I mean it's over the counter. It's a

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Speaker 1: time of year where most of us don't already have

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Speaker 1: obligations other than if you're turkey hunting or something like that.

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Speaker 1: And it's a chance to get up in the mountains

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Speaker 1: and it's it's beautiful. It's a great time to be

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Speaker 1: out there and shoot. Normally, Mark and two nights sitting

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Speaker 1: on those ridges we were on, I would average two

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Speaker 1: to three bears in the evening. But well, let's not

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Speaker 1: spoil it quite yet. Let's start at the beginning and

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Speaker 1: work our way to tell them how many bears we

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Speaker 1: end up seeing on these evenings. Okay, all right, so

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Speaker 1: I'll let you lead the discussion. Yeah. Yeah, So so

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Speaker 1: you told me that, um, that I was welcome to

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Speaker 1: join you on on this bear hunt. And the first

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Speaker 1: one I think was last week Thursday maybe. UM. So

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Speaker 1: we met at a parking lot. My wife was gracious

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Speaker 1: enough to drive me back and forth to these things,

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Speaker 1: and uh, I had to sign a waiver that i'd

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Speaker 1: bring you back to one piece and you did that

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Speaker 1: very well. He got me back and no injuries. Um,

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Speaker 1: and I got to meet you Camerman, your two caramen,

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Speaker 1: who are great guys, very cool. Marcus and Michael are

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Speaker 1: good guys. Hope that was fun. Holy smoked though. Michael,

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Speaker 1: you're new guy. Yeah he can sweat. Yeah. Yeah. We'd

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Speaker 1: look back in Michael's hat. We'd be about a fourth

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Speaker 1: way up the hill and that dude, he's he's just

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Speaker 1: pouring it out. O. Man, he was too. But but yeah,

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Speaker 1: so we we went off to this piece of public land,

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Speaker 1: and basically the game plan was to just hike, hike,

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Speaker 1: and hike up to the top of this kind of

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Speaker 1: glassing knob or small mountain, um, whatever you want to

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Speaker 1: call it, and we're gonna we're gonna watch from there.

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Speaker 1: So so my first question for you, Randy was why there? Um.

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Speaker 1: I asked that seriously and a little bit facetiously. Why

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Speaker 1: they're what was what was the thought process in our

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Speaker 1: plan there that night there? And my thoughts, I always

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Speaker 1: want to get to a place that gives me the

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Speaker 1: greatest amount of view shed how how many places can

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Speaker 1: I glass from that spot? And as you saw, about

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Speaker 1: the only place we couldn't glass was to our south,

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Speaker 1: to the east, the west, the north. We had this

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Speaker 1: huge vista for miles and yeah, some of that out

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Speaker 1: in front of us would have been private, some of

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Speaker 1: it would have been public. But the idea is when

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Speaker 1: when spring bears come out of their dens, and we've

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Speaker 1: had a pretty hard winter here, So my gut's telling

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Speaker 1: me maybe we're a week behind just because of how

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Speaker 1: cold and how much snow we had. Uh, those bears

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Speaker 1: have the feedback on. They're trying their best to get

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Speaker 1: their digestive track going again, so they're mowing on the

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Speaker 1: grass and the vegetation there, maybe looking for winter killed carcasses.

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Speaker 1: And when you get these stretches of warm days in

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Speaker 1: the rockies after a long winter, it's usually in late

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Speaker 1: April early May. You get these three four or five

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Speaker 1: days where it gets up in the seventies, and that

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Speaker 1: is when bears seem to come out like crazy, and

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Speaker 1: you see them moving a lot. They're they're not that

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Speaker 1: stay canary in the spring. They're moving just looking for feed,

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Speaker 1: looking for feed, And so that's why I get to

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Speaker 1: glassing spots. You'll see a moving across the openings. You'll

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Speaker 1: see a moving across the hillside. And the idea is,

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Speaker 1: once I see them, how do I get in front

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Speaker 1: of them? Does it look like they're head in some

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Speaker 1: place to feed? Is there some really nice green lush

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Speaker 1: spot that as the snow has receded up the hill

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Speaker 1: up the mountain. A lot of times you get these

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Speaker 1: patches that are just way greener than the rest of

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Speaker 1: the mountain, and usually they're head into those green spots,

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Speaker 1: and so I'm if I see them, I'm trying to

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Speaker 1: get there. So that that was the method to my

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Speaker 1: madness and picking that spot. Okay, So so I will

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Speaker 1: divulge the secret now that first night we did not

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Speaker 1: see a bear doing any of those things you said,

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Speaker 1: but it sure looked like a place that you could right.

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Speaker 1: I mean everything you just described there just seemed to

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Speaker 1: be to a t. The view was incredible, the scenery,

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Speaker 1: it was incredible. Um. The the other thing that I

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Speaker 1: forgot to mention about what I'm looking for, Mark, I'm

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Speaker 1: also looking to be near calving and fawning grounds of

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Speaker 1: elk and deer, because when those elk calves and deer

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Speaker 1: fawns start hitting the ground in late May early June,

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Speaker 1: those black bears, for them, that's like buffet time. And

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Speaker 1: I know a lot of us are like, oh, I

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Speaker 1: hate thinking about bears eating all these little calves and fawns. Uh,

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Speaker 1: But that's just the reality what goes on out there.

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Speaker 1: So these black bears are tuned into that they know

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Speaker 1: where these calving grounds are and where these fawning areas are.

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Speaker 1: And how many elk did we see every night? So

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Speaker 1: many elk, sony elk, and deer newly's white tails. I

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Speaker 1: mean it was we didn't see bears, but we saw

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Speaker 1: so many critters. I mean, that was just fun that

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Speaker 1: area we went to. For whatever reason that I can't explain.

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Speaker 1: I don't know if it's because of fires, if it's

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Speaker 1: because of just the mineral content and the soils. In

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Speaker 1: the springtime, I see way more cow alk and dough

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Speaker 1: meal deer and dough white tails in those basins, and

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Speaker 1: I think that's where they fall. I think that's where

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Speaker 1: they have and I think that's why as that's happening,

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Speaker 1: the bears know that historically, and they're moving towards that

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Speaker 1: spot that I was going to ask, how can you

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Speaker 1: if I'm not familiar with an area already, how do

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Speaker 1: I determine where these cat and grounds are? Is there

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Speaker 1: anything to look for from a habitat standpoint, or do

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Speaker 1: I just need to figure it out by glassing and

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Speaker 1: walking around? And I wish I could tell you that

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Speaker 1: I had some science to it. Fortunately for me, I

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Speaker 1: live here, so I spend a lot of time in

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Speaker 1: these hills and I see it. If I had to

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Speaker 1: find some characteristics to it. Uh as you know, there's

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Speaker 1: a huge burn there. Those burn areas generate unbelievable amounts

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Speaker 1: of feed, but also quality of feed and a lactating

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Speaker 1: elk or a lactating deer. They want the highest quality

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Speaker 1: food they can confine, so those burns provide that. Uh.

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Speaker 1: But even away from the burns, there were still a

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Speaker 1: lot of those animals. And I I wish I could

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Speaker 1: tell you what makes the I can go to four

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Speaker 1: basins that all look the same, but for some reason,

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Speaker 1: two of those four, the elk and deer will select those.

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Speaker 1: The other two they'll just kind of disregard. And I'm

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Speaker 1: not smart enough to know why. I wish I can

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Speaker 1: tell you why. Is there any like elevation band like

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Speaker 1: you're usually seeing them at a certain height maybe or

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Speaker 1: anything like that. There is def And we were talking

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Speaker 1: about that on the mountain the other day about those

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Speaker 1: elevation bands seem to have the same greenness and lushness.

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Speaker 1: And I think that's because of as the snow it's

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Speaker 1: somewhat dependent upon where that elevation is to the snow

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Speaker 1: retreating up the hill. Uh. Also just geography and geology. Uh.

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Speaker 1: The geology of it is, you get a lot of

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Speaker 1: faulting and stuff in the mountains, and so you might

294
00:16:09,040 --> 00:16:12,400
Speaker 1: have one area that's mostly granite, one area that's mostly limestone,

295
00:16:12,880 --> 00:16:15,320
Speaker 1: and those bands of one or the other are going

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Speaker 1: to have different forage types. Um. A geologist friend of

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Speaker 1: mine taught me this where he only hunts limestone areas

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Speaker 1: because his experience shows that ungulates prefer feeding in areas

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Speaker 1: with limestone as the soil composition. And I never really

300
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Speaker 1: thought about that until I started doing it, and I'm like, whoa,

301
00:16:39,120 --> 00:16:40,960
Speaker 1: look at that. So that is something you pay attention

302
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Speaker 1: to them. I do now I didn't then. H And

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Speaker 1: he's a geologist, so it's it's interesting to hunt with

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Speaker 1: the geologist. He I'm looking at the total landscape. He's

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Speaker 1: looking at Oh this, we're in a good limestone stretch here.

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Speaker 1: To me, I'm like, who cares if it's limestone, granite,

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00:17:00,600 --> 00:17:02,840
Speaker 1: something in between. I don't care if it's you know,

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00:17:03,640 --> 00:17:08,960
Speaker 1: mud and bog. Well, for him, he understands how that

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Speaker 1: soil composition translates into minerals being absorbed by the plant

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Speaker 1: communities and how the wildlife selects that. Yeah, it was.

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Speaker 1: So there might be areas where it's a function of

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00:17:25,400 --> 00:17:29,719
Speaker 1: of the elevation, but that elevation might be there just

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Speaker 1: because of the soil composition at that point or at

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Speaker 1: at that elevation. So again in the fall. It's it's

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Speaker 1: much more pronounced in the fall that at least for

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Speaker 1: meal there in hunting season, I see the the does

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Speaker 1: and fawns heading in, the young bucks heading down lower.

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Speaker 1: Following so in August things start drying up in the

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Speaker 1: rockies and he gets brownish colored. You see with the

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00:18:00,440 --> 00:18:03,920
Speaker 1: first snow often you see the doze fawns and in

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Speaker 1: young meal deer box head lower and then anywhere from

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Speaker 1: a thousand and fift feet in elevation above them, the

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00:18:13,400 --> 00:18:16,440
Speaker 1: mature bucks will stage, and they will stage there through

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Speaker 1: the end of October until the first three days in November,

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Speaker 1: and then all of a sudden, the trigger comes on

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Speaker 1: and you see him down lower with with the younger

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Speaker 1: bucks and the does and fawns, and and we've taken

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Speaker 1: where you and I were bear hunting. We've taken three

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Speaker 1: really nice meal deer bucks in those staging areas there,

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Speaker 1: And a lot of people are like, oh, it's not

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Speaker 1: a good place to hunt because when the rut starts,

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Speaker 1: all these bucks dropped down onto the private. Well, yeah,

333
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Speaker 1: they do in the rut because that's where the does are,

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Speaker 1: but they're up on the public in that pre rut

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Speaker 1: phase just before. It seems like that area has been

336
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Speaker 1: very productive for you. Yeah, we've We've shot a couple

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00:19:01,080 --> 00:19:03,360
Speaker 1: of bears in there, We've shot some nice meal dear

338
00:19:03,920 --> 00:19:05,960
Speaker 1: shot a white tail, and we filmed the white tail

339
00:19:06,040 --> 00:19:10,960
Speaker 1: hunt in that area. Uh outcome. So it's it's a

340
00:19:11,200 --> 00:19:14,280
Speaker 1: it's a good spot. But one thing. And people are

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00:19:14,280 --> 00:19:16,800
Speaker 1: starting to realize this with when they see our images

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00:19:16,880 --> 00:19:21,600
Speaker 1: and they see our video. Uh, someone sent me an

343
00:19:21,640 --> 00:19:24,320
Speaker 1: email in it. That's when it kind of struck me that, oh,

344
00:19:24,400 --> 00:19:28,080
Speaker 1: people are catching on and Randy, everything you film, every

345
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Speaker 1: picture I see of you, you guys are in burns.

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Speaker 1: What's up with all the burns? And I don't want

347
00:19:33,119 --> 00:19:37,240
Speaker 1: to say there aren't critters uh in areas that haven't burned,

348
00:19:37,920 --> 00:19:41,399
Speaker 1: But in the Rockies. The Rockies are a they it

349
00:19:41,560 --> 00:19:47,760
Speaker 1: evolved as a fire prone ecosystem. Before man started suppressing fire,

350
00:19:48,960 --> 00:19:55,040
Speaker 1: these places were burning every thirty years. And so if

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00:19:55,040 --> 00:19:59,080
Speaker 1: you talk to the historians and the biologists, they said

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00:19:59,119 --> 00:20:02,879
Speaker 1: that before that our suppression of these fires happened, wildlife

353
00:20:02,960 --> 00:20:08,359
Speaker 1: would move to wherever these mosaic patterns of burns were at. Well,

354
00:20:09,280 --> 00:20:12,720
Speaker 1: Randy is kind of like that these what curtis, I'm

355
00:20:12,760 --> 00:20:17,879
Speaker 1: moving to wherever these burns are. And uh so that's

356
00:20:18,040 --> 00:20:21,399
Speaker 1: uh that's part part of why I think that area

357
00:20:21,560 --> 00:20:24,920
Speaker 1: in the last five six years has been pretty good.

358
00:20:24,960 --> 00:20:27,160
Speaker 1: Now you look at it and those burns are starting

359
00:20:27,160 --> 00:20:28,880
Speaker 1: to get a little bit older, they're starting to get

360
00:20:28,920 --> 00:20:33,960
Speaker 1: grown up with with new trees, and so I might

361
00:20:34,080 --> 00:20:37,600
Speaker 1: have to abandon that spot in the next few years

362
00:20:37,600 --> 00:20:40,600
Speaker 1: and start looking for where's the next burn that's two

363
00:20:40,720 --> 00:20:43,320
Speaker 1: or three years old. So here's my two questions on that.

364
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Speaker 1: Number one, what's the time frame after burn that's best?

365
00:20:47,000 --> 00:20:48,760
Speaker 1: So is it one to five years or whatever that is?

366
00:20:48,760 --> 00:20:51,040
Speaker 1: And the number two, how do you go about finding

367
00:20:51,080 --> 00:20:54,720
Speaker 1: these burns? Um? Other than just being there in person?

368
00:20:54,800 --> 00:20:57,399
Speaker 1: Can you actually find them when looking online on maps

369
00:20:57,400 --> 00:21:01,200
Speaker 1: and stuff like that. Yeah. Uh, I don't know if

370
00:21:01,240 --> 00:21:03,280
Speaker 1: I want to tell all those secrets, but I'm going

371
00:21:03,400 --> 00:21:07,600
Speaker 1: to uh as the first one is easy. Uh I

372
00:21:07,760 --> 00:21:12,159
Speaker 1: hunt burns certainly within one year after the fire. If

373
00:21:12,200 --> 00:21:14,920
Speaker 1: it's an early summer burn and you get fall moisture,

374
00:21:15,320 --> 00:21:18,679
Speaker 1: I'll go and hunt that burn that fall, um, but

375
00:21:18,800 --> 00:21:22,080
Speaker 1: certainly the next year for the possibly up to the

376
00:21:22,119 --> 00:21:28,040
Speaker 1: next ten years, and if there are other burns nearby

377
00:21:28,119 --> 00:21:30,560
Speaker 1: that they can select from. That are newer burns, They're

378
00:21:30,560 --> 00:21:34,919
Speaker 1: gonna go select those newer areas. If it's all nothing

379
00:21:34,960 --> 00:21:38,000
Speaker 1: but dark timber and that burn is ten years old,

380
00:21:38,040 --> 00:21:40,440
Speaker 1: they'll still be in that ten year old burn before

381
00:21:40,440 --> 00:21:43,480
Speaker 1: they'll be in that dark timber. So how long do

382
00:21:43,560 --> 00:21:47,399
Speaker 1: I hunt them? It just a little bit depends. I

383
00:21:47,640 --> 00:21:50,120
Speaker 1: always like to hunt the freshest burn I can find.

384
00:21:50,200 --> 00:21:52,800
Speaker 1: Let's put it that way. As far as where to

385
00:21:52,840 --> 00:21:57,760
Speaker 1: find them, uh, the generic answer is there's a website

386
00:21:57,760 --> 00:22:00,520
Speaker 1: called inc web I n C I BU E B

387
00:22:01,080 --> 00:22:04,399
Speaker 1: and it'll show you current status of fires. So in

388
00:22:04,440 --> 00:22:07,920
Speaker 1: the summertime, I can be diving in and watching that.

389
00:22:09,400 --> 00:22:13,600
Speaker 1: So am I allowed to plug a product here? You

390
00:22:13,640 --> 00:22:16,119
Speaker 1: can do whatever you want. Okay, you're you're outside of

391
00:22:16,119 --> 00:22:20,359
Speaker 1: my control. I take for whatever you might do. A

392
00:22:20,359 --> 00:22:22,399
Speaker 1: lot of people know that I use the on X

393
00:22:22,480 --> 00:22:27,760
Speaker 1: map system and on their cell phone, their smartphone app,

394
00:22:28,280 --> 00:22:32,639
Speaker 1: the hunt app. It's called there's a layer called fire

395
00:22:32,760 --> 00:22:36,320
Speaker 1: layers goes all the way back to two thousand. I

396
00:22:36,320 --> 00:22:41,720
Speaker 1: can't believe I'm telling everybody, but that's it. And so

397
00:22:42,280 --> 00:22:46,000
Speaker 1: you add that layer on your smartphone app and it

398
00:22:46,080 --> 00:22:50,960
Speaker 1: will show you what year the fire was. The it'll

399
00:22:51,000 --> 00:22:57,399
Speaker 1: give a polygon, Uh, outline of where the fire was. Interesting. Oh,

400
00:22:57,400 --> 00:23:03,280
Speaker 1: it's it's the if. If you're doing desk scouting like

401
00:23:03,520 --> 00:23:07,680
Speaker 1: I am, Uh, I don't know how how you do

402
00:23:07,760 --> 00:23:11,639
Speaker 1: it without having that fire datus. If if you're thinking

403
00:23:11,640 --> 00:23:16,159
Speaker 1: of coming out west, uh and in your in a

404
00:23:16,280 --> 00:23:21,159
Speaker 1: quandary for where to start, my default is find the

405
00:23:21,200 --> 00:23:26,240
Speaker 1: burns and you will find. Okay, I think we are elk,

406
00:23:26,320 --> 00:23:29,240
Speaker 1: deer or whatever. I think we have this. We grow

407
00:23:29,320 --> 00:23:32,119
Speaker 1: up with this idea, and I think hunters are the

408
00:23:32,160 --> 00:23:35,240
Speaker 1: worst because we see these hunting magazine pictures and stuff

409
00:23:35,240 --> 00:23:40,320
Speaker 1: of these big high meadows, beautiful dark timber around the

410
00:23:40,440 --> 00:23:44,600
Speaker 1: edges of them. You'll never see me hunting there. I mean,

411
00:23:44,640 --> 00:23:47,359
Speaker 1: that might look pretty, but if you're an elk or

412
00:23:47,400 --> 00:23:50,280
Speaker 1: you're a meal there, you're like, keep right on trucking.

413
00:23:50,280 --> 00:23:53,720
Speaker 1: There's nothing to eat there. So I'm looking at these

414
00:23:53,840 --> 00:23:57,840
Speaker 1: ugly burns, and the number of elk and deer bedded

415
00:23:57,880 --> 00:24:02,440
Speaker 1: in those burns is crazy. Most people just I think

416
00:24:02,640 --> 00:24:05,640
Speaker 1: visually they say that's there's not gonna be anything there,

417
00:24:05,720 --> 00:24:07,720
Speaker 1: or if it was there, i'd see it standing up.

418
00:24:08,640 --> 00:24:11,159
Speaker 1: They can bed in that stuff and be just about

419
00:24:11,200 --> 00:24:15,840
Speaker 1: and image. So it's uh, that that's kind of a

420
00:24:15,880 --> 00:24:20,000
Speaker 1: diversion about how all of that connects to bear hunting,

421
00:24:20,200 --> 00:24:23,280
Speaker 1: but it is somewhat connected to where I select where

422
00:24:23,320 --> 00:24:26,240
Speaker 1: I'm in a bear hunt. Well, And on nine number

423
00:24:26,240 --> 00:24:29,359
Speaker 1: two of the hunt, we thought we you thought you

424
00:24:29,400 --> 00:24:31,760
Speaker 1: had spotted a beded bear in a burn area for

425
00:24:31,760 --> 00:24:35,000
Speaker 1: close to burn area. Um too, it did not try

426
00:24:35,040 --> 00:24:37,280
Speaker 1: him to be a bear, I don't think so either,

427
00:24:37,520 --> 00:24:40,960
Speaker 1: or he stayed motionless for three hours or several days,

428
00:24:41,400 --> 00:24:43,879
Speaker 1: because he was there a couple of days earlier also,

429
00:24:44,960 --> 00:24:48,280
Speaker 1: but it did look like it certainly could have been one.

430
00:24:48,520 --> 00:24:50,400
Speaker 1: And I got excited there for a moment because I've

431
00:24:50,440 --> 00:24:52,639
Speaker 1: got a bed of bear, and I'm like, all, you

432
00:24:52,680 --> 00:24:54,520
Speaker 1: think we can get over there in time. You're like, yeah,

433
00:24:54,560 --> 00:24:56,080
Speaker 1: we're gonna go for if it's him, And so I

434
00:24:56,440 --> 00:24:58,880
Speaker 1: got fired up day two, We're gonna get on a bear.

435
00:25:00,400 --> 00:25:02,920
Speaker 1: I feel terrible, Mark. I was about ready to throw

436
00:25:03,040 --> 00:25:05,879
Speaker 1: my stuff in my pack, and it would have been about,

437
00:25:06,119 --> 00:25:08,280
Speaker 1: I don't know what a mile and a half over there.

438
00:25:09,000 --> 00:25:12,040
Speaker 1: I would have dropped about a thousand feet elevation and

439
00:25:12,080 --> 00:25:14,199
Speaker 1: had to pick up another eight hundred going up the

440
00:25:14,200 --> 00:25:17,280
Speaker 1: other side. But we would in two hours. We would

441
00:25:17,280 --> 00:25:19,480
Speaker 1: have had time to move in on it, but it

442
00:25:19,600 --> 00:25:21,399
Speaker 1: turned out not to be a bear. It was not

443
00:25:21,480 --> 00:25:24,600
Speaker 1: a bear and false alarm, and that was the story

444
00:25:24,600 --> 00:25:26,680
Speaker 1: of the rest of night number two as well. Yeah,

445
00:25:26,720 --> 00:25:29,479
Speaker 1: that's that's what I tell people that bear hunting in

446
00:25:29,480 --> 00:25:35,400
Speaker 1: the spring anyhow, is two hours of hiking, uh, followed

447
00:25:35,440 --> 00:25:40,520
Speaker 1: by three or four hours of board just glassing with

448
00:25:40,560 --> 00:25:44,320
Speaker 1: the hope that that boredom is interrupted by fifteen minutes

449
00:25:44,359 --> 00:25:49,240
Speaker 1: of absolute chaos. That's that's kind of how it, dude. Yeah,

450
00:25:49,280 --> 00:25:52,160
Speaker 1: but it's that's not too much different than tree stand

451
00:25:52,200 --> 00:25:55,520
Speaker 1: whitetail hunting. You know, yeah, you're probably not gonna hike

452
00:25:55,560 --> 00:25:59,480
Speaker 1: for two hours, but how often do you sit there thinking, oh, man,

453
00:25:59,560 --> 00:26:01,520
Speaker 1: today's not the day, today is not to day, And

454
00:26:01,520 --> 00:26:03,199
Speaker 1: all of a sudden you turn and looked over your

455
00:26:03,280 --> 00:26:05,639
Speaker 1: left shoulder and there's a big Hanks standing there. You're like,

456
00:26:06,320 --> 00:26:10,280
Speaker 1: that's instantly, big pulse of adrenaline. I kept telling myself

457
00:26:10,320 --> 00:26:12,320
Speaker 1: the whole night last night, you know, as the clock

458
00:26:12,400 --> 00:26:15,640
Speaker 1: was taking down, I just kept saying, stay focused. Any second,

459
00:26:15,720 --> 00:26:17,919
Speaker 1: like even with only five minutes left before we go,

460
00:26:18,080 --> 00:26:20,399
Speaker 1: that black form could step out and it could be

461
00:26:20,600 --> 00:26:23,919
Speaker 1: game on. And it always seems to be whenever you

462
00:26:24,000 --> 00:26:27,080
Speaker 1: let your guard down, whenever you mentally kind of check

463
00:26:27,119 --> 00:26:30,080
Speaker 1: out and saying it's not gonna happen. What was me?

464
00:26:30,280 --> 00:26:32,639
Speaker 1: It seems like when that happens, that's when all of

465
00:26:32,680 --> 00:26:34,720
Speaker 1: a sudden they show up and you're not ready and

466
00:26:34,760 --> 00:26:38,000
Speaker 1: you miss your opportunity. Um, So I'm constantly trade. It's

467
00:26:38,040 --> 00:26:40,800
Speaker 1: like so mental any kind of hunting is, obviously, but

468
00:26:40,840 --> 00:26:42,679
Speaker 1: it's always how can you stay in it? How can

469
00:26:42,720 --> 00:26:45,280
Speaker 1: you stay positive and be focused? And many times it

470
00:26:45,280 --> 00:26:50,520
Speaker 1: becomes a self fulfilling prophecy, and I struggle with that.

471
00:26:50,800 --> 00:26:53,359
Speaker 1: I get bored easily. I must have some sort of

472
00:26:54,000 --> 00:26:58,399
Speaker 1: attention disorder. But one of the things I found that

473
00:26:58,560 --> 00:27:00,960
Speaker 1: helped me through that is one to a place where

474
00:27:00,960 --> 00:27:04,480
Speaker 1: there's a lot of other wildlife. It keeps me interested

475
00:27:04,520 --> 00:27:07,359
Speaker 1: to see, oh, wow, three three different elk I hadn't

476
00:27:07,359 --> 00:27:10,000
Speaker 1: seen just walked out into that opening, or wow, where'd

477
00:27:10,000 --> 00:27:12,240
Speaker 1: that group of meal there come from? Or whatever it

478
00:27:12,320 --> 00:27:16,120
Speaker 1: might be in and I don't know. It just makes

479
00:27:16,160 --> 00:27:20,399
Speaker 1: it easier to to be encouraged and be excited and

480
00:27:20,840 --> 00:27:25,280
Speaker 1: keep your eye on through the optics on the hillside. Yeah, So,

481
00:27:25,640 --> 00:27:28,760
Speaker 1: as as a hunter, I think most of us are

482
00:27:28,800 --> 00:27:33,280
Speaker 1: just generally, you know, enjoy watching wildlife and just seeing

483
00:27:33,760 --> 00:27:36,560
Speaker 1: them do their thing. And that was that was a blast,

484
00:27:36,560 --> 00:27:39,480
Speaker 1: is getting to watch something dear and elk move around,

485
00:27:39,800 --> 00:27:43,160
Speaker 1: interact with each other, occasionally see us. There's that one

486
00:27:43,200 --> 00:27:45,119
Speaker 1: Kyle elk on the first night that came right on

487
00:27:45,200 --> 00:27:48,360
Speaker 1: up the hill, right towards us. Yeah, that was weird.

488
00:27:48,640 --> 00:27:52,600
Speaker 1: Come from down wind too, Bar. I don't know if

489
00:27:53,160 --> 00:27:57,200
Speaker 1: I can't explain why she would come that close after

490
00:27:57,280 --> 00:27:59,760
Speaker 1: smelling us. She had to have smelled us coming from

491
00:27:59,760 --> 00:28:02,760
Speaker 1: down And like, what did you think about seeing white

492
00:28:02,760 --> 00:28:07,560
Speaker 1: tails at I was very surprised. You just assumed that

493
00:28:07,600 --> 00:28:10,720
Speaker 1: these deer would be staying way down low in the bottoms,

494
00:28:11,680 --> 00:28:16,119
Speaker 1: and it was just cool. It made me excited someday

495
00:28:16,119 --> 00:28:17,840
Speaker 1: want to hunt white tails up in a place like that.

496
00:28:17,880 --> 00:28:20,040
Speaker 1: You don't think I would never think that you could

497
00:28:20,119 --> 00:28:23,640
Speaker 1: chase white tails way up high like that, surrounded by

498
00:28:23,640 --> 00:28:27,440
Speaker 1: snowcovered peaks and being up in them. Um, that is

499
00:28:27,480 --> 00:28:30,000
Speaker 1: really cool and it combines my love of mountains with

500
00:28:30,040 --> 00:28:33,160
Speaker 1: my love of white tails in the same place. Um,

501
00:28:33,240 --> 00:28:35,199
Speaker 1: you gotta be careful, Randy, you might show up one night.

502
00:28:36,720 --> 00:28:41,000
Speaker 1: He's that guy in that tree stand there Hey, I'll

503
00:28:41,040 --> 00:28:43,760
Speaker 1: watch if I see a truck with Michigan plates at

504
00:28:43,760 --> 00:28:46,200
Speaker 1: the trailhead, you know that's trouble. I'll be like, uh,

505
00:28:47,560 --> 00:28:50,560
Speaker 1: this guy any more in my secrets. No, it's fun

506
00:28:50,560 --> 00:28:53,239
Speaker 1: to go and hunt white tails and spots like that.

507
00:28:53,320 --> 00:28:56,280
Speaker 1: I have a whole bunch of spots scattered across Montana

508
00:28:56,400 --> 00:29:02,560
Speaker 1: like that that. I found him while outcunting, and I'm

509
00:29:02,600 --> 00:29:04,560
Speaker 1: I'll never be able to get rid of my white

510
00:29:04,560 --> 00:29:09,320
Speaker 1: tail problem growing up in northern Minnesota. I think now

511
00:29:09,360 --> 00:29:14,640
Speaker 1: I've shot twenty five bucks since I've moved to Montana,

512
00:29:16,200 --> 00:29:18,560
Speaker 1: and I think only four of those have been meal

513
00:29:18,600 --> 00:29:22,560
Speaker 1: Dier bucks. All the rest have been white tails. And

514
00:29:23,680 --> 00:29:26,960
Speaker 1: you come, if you come to Montana, everyone's got the

515
00:29:27,040 --> 00:29:32,880
Speaker 1: elk mindset. It's elk, elk elk, and they should. I mean,

516
00:29:32,920 --> 00:29:35,840
Speaker 1: we've got great elk. But you will see guys walk

517
00:29:35,920 --> 00:29:38,040
Speaker 1: through some of the best white tail hunting on their

518
00:29:38,080 --> 00:29:41,000
Speaker 1: way out hunting, and I'm just sitting there. They think

519
00:29:41,000 --> 00:29:44,920
Speaker 1: I'm taking a break and and being lazy. Well, I'm

520
00:29:44,920 --> 00:29:47,959
Speaker 1: sitting there because I know how many white tails trotting

521
00:29:48,000 --> 00:29:51,920
Speaker 1: through these spots. So it's uh, it's just cool where

522
00:29:51,920 --> 00:29:53,920
Speaker 1: you can have that because when you were out here

523
00:29:54,040 --> 00:29:58,440
Speaker 1: last year, you hunted a classic kind of Montana pattern

524
00:29:58,560 --> 00:30:04,560
Speaker 1: of a rat parian area, which that elevation there of

525
00:30:04,600 --> 00:30:07,960
Speaker 1: where you were hunting is probably two thousands or twenty

526
00:30:08,000 --> 00:30:11,080
Speaker 1: feet lower than where we were seeing these white tails

527
00:30:11,640 --> 00:30:14,680
Speaker 1: the last few days. Yeah, and it's so cool to

528
00:30:14,720 --> 00:30:16,760
Speaker 1: have both of those options, to be able to hunt

529
00:30:16,800 --> 00:30:20,480
Speaker 1: them in either or different types of habitat um. You

530
00:30:20,560 --> 00:30:22,680
Speaker 1: kind of choose your own adventure. Yeah. I like that.

531
00:30:23,360 --> 00:30:25,200
Speaker 1: There's so many of those different places. I'm already I've

532
00:30:25,200 --> 00:30:27,280
Speaker 1: been thinking about do I want to hunt in different

533
00:30:27,280 --> 00:30:29,920
Speaker 1: places coming fall for white tails in Montana? Where do

534
00:30:30,000 --> 00:30:31,600
Speaker 1: I go back to the old spot? Because that was

535
00:30:31,600 --> 00:30:34,680
Speaker 1: pretty great and I just recently went shedoting there and

536
00:30:34,680 --> 00:30:38,240
Speaker 1: found some nice antlers. That'd be fun. But I also

537
00:30:38,320 --> 00:30:40,960
Speaker 1: like the idea of exploring these new places and the

538
00:30:41,040 --> 00:30:43,920
Speaker 1: new you know, there's there's something to be said about

539
00:30:45,080 --> 00:30:48,920
Speaker 1: figuring out the new area, learning the behaviors and the patterns,

540
00:30:48,960 --> 00:30:51,080
Speaker 1: how do they use this terrain, where are they coming from,

541
00:30:51,120 --> 00:30:53,520
Speaker 1: where are they going to? Um. That's just a part

542
00:30:53,520 --> 00:30:56,800
Speaker 1: of like the hunt that I really enjoy. Um. But

543
00:30:56,960 --> 00:30:59,040
Speaker 1: maybe it hurts my ability to kill more deer because

544
00:30:59,080 --> 00:31:04,240
Speaker 1: I'm constantly jumping, never taking up time to what what

545
00:31:04,280 --> 00:31:06,760
Speaker 1: do you think of my idea of the Rocky Mountain

546
00:31:06,760 --> 00:31:10,080
Speaker 1: white tail trifecta. I think it's awesome, I would I

547
00:31:10,080 --> 00:31:12,280
Speaker 1: think that sounds like a lot of fun. So last

548
00:31:12,320 --> 00:31:15,000
Speaker 1: year we got we pulled off two of the three.

549
00:31:15,240 --> 00:31:17,760
Speaker 1: We did Montana. I shot a really nice white tail

550
00:31:17,800 --> 00:31:22,440
Speaker 1: buck in Montana. We hopped over the border uh northern Wyoming.

551
00:31:23,160 --> 00:31:26,040
Speaker 1: My buddy Matt side All from on x Map shot

552
00:31:26,080 --> 00:31:28,840
Speaker 1: a really nice white tail in Wyoming. We need to

553
00:31:28,880 --> 00:31:31,520
Speaker 1: get if my calendar would fit it. We need to

554
00:31:31,560 --> 00:31:34,440
Speaker 1: get Idaho in there, because the whole month of November

555
00:31:35,320 --> 00:31:38,800
Speaker 1: pretty much you can hunt white tails with a rifle

556
00:31:39,120 --> 00:31:44,480
Speaker 1: in all three of those states, and the general population

557
00:31:44,600 --> 00:31:47,040
Speaker 1: of those three states they drive by all these white

558
00:31:47,040 --> 00:31:49,840
Speaker 1: tails looking for elk. Right, So if I was a

559
00:31:49,880 --> 00:31:53,960
Speaker 1: Midwest guy, and I certainly if I lived in the Midwest,

560
00:31:53,960 --> 00:31:56,160
Speaker 1: I'm not going to miss my peak rep period with

561
00:31:56,200 --> 00:32:01,240
Speaker 1: my bow. But after that you could there's so much

562
00:32:01,280 --> 00:32:05,360
Speaker 1: public land you could come and easily do Montana and Wyoming,

563
00:32:05,520 --> 00:32:10,040
Speaker 1: or Montana and Idaho as two of the three pick

564
00:32:10,120 --> 00:32:13,840
Speaker 1: up a tag in most instances over the counter. Maybe

565
00:32:13,840 --> 00:32:16,560
Speaker 1: in Montana now we're getting more demand for our deer tag,

566
00:32:16,640 --> 00:32:19,480
Speaker 1: so you might have to apply in the draw. Wyoming

567
00:32:19,520 --> 00:32:21,960
Speaker 1: all those good white tail spots you can usually get

568
00:32:21,960 --> 00:32:26,240
Speaker 1: as a leftover tag after the draw. Idaho never sells

569
00:32:26,280 --> 00:32:28,480
Speaker 1: out all their dear tags, so you can get that

570
00:32:28,920 --> 00:32:32,080
Speaker 1: over the counter. Get a watch out, because you were

571
00:32:32,120 --> 00:32:39,160
Speaker 1: talking to you might show up for your white We

572
00:32:39,200 --> 00:32:41,400
Speaker 1: can't do it. We can't do it in seventeen. I

573
00:32:41,400 --> 00:32:44,640
Speaker 1: think in two thousand eighteen, I can't think of a

574
00:32:44,680 --> 00:32:47,440
Speaker 1: better guy to do the Rocky Mountain white tail Trifecta

575
00:32:47,520 --> 00:32:50,840
Speaker 1: with than Mark Kenya. I would love to do that.

576
00:32:50,600 --> 00:32:53,320
Speaker 1: That's an invitation. If you want to take it, well,

577
00:32:53,360 --> 00:32:56,240
Speaker 1: then you've learned the hard way that when when you

578
00:32:56,280 --> 00:33:00,480
Speaker 1: throw these invitations out of take them. So, but we

579
00:33:00,600 --> 00:33:03,160
Speaker 1: do it with rifles, Mark, I'm fine with that. You're

580
00:33:03,160 --> 00:33:05,920
Speaker 1: okay with that. I'll just plan on killing a few

581
00:33:05,920 --> 00:33:08,480
Speaker 1: of the bow beforehand. I'll head out with the with

582
00:33:08,600 --> 00:33:11,600
Speaker 1: the firearm for the trifecta and that would be a blast.

583
00:33:11,720 --> 00:33:15,200
Speaker 1: And I would love to see the rut out west

584
00:33:15,240 --> 00:33:18,080
Speaker 1: here with these white tails, because you know, back home,

585
00:33:18,120 --> 00:33:20,560
Speaker 1: in a lot of places I hunt, the number of

586
00:33:20,600 --> 00:33:23,280
Speaker 1: bucks is much lower. The ratio of bucks to dose

587
00:33:23,320 --> 00:33:27,080
Speaker 1: as much lower. The ratio of age structure here, the

588
00:33:27,200 --> 00:33:32,800
Speaker 1: density of deer's incredible. The age structure seems terrific, and

589
00:33:33,040 --> 00:33:36,360
Speaker 1: the number of bucks to dose is just crazy, crazy

590
00:33:36,400 --> 00:33:38,000
Speaker 1: compared to anything I've seen it. So I just cannot

591
00:33:38,040 --> 00:33:41,000
Speaker 1: imagine the competition for these does that must be going

592
00:33:41,000 --> 00:33:43,719
Speaker 1: on another It's got to be pure chaos. It is.

593
00:33:43,920 --> 00:33:46,200
Speaker 1: If you sit in some of these Greek bottoms. And

594
00:33:46,240 --> 00:33:47,800
Speaker 1: I told you this as we were walking off the

595
00:33:47,840 --> 00:33:50,520
Speaker 1: mountain the other night, that even if they told me

596
00:33:50,560 --> 00:33:53,600
Speaker 1: I couldn't hunt white tails here, that I could just

597
00:33:53,680 --> 00:33:57,000
Speaker 1: watch them. I would have so much fun sitting in

598
00:33:57,040 --> 00:34:02,320
Speaker 1: these Greek bottoms on November eight, because it is chaos.

599
00:34:02,760 --> 00:34:06,320
Speaker 1: These bucks have to compete so hard because there's so

600
00:34:06,360 --> 00:34:10,760
Speaker 1: many other and they are just all day long, running

601
00:34:10,840 --> 00:34:13,920
Speaker 1: like crazy. You'll see him rutting that hard even into Thanksgiving,

602
00:34:14,640 --> 00:34:17,239
Speaker 1: and the tongues are hanging out, they look like they're

603
00:34:17,239 --> 00:34:19,640
Speaker 1: they're so withered. You wonder I was just going to

604
00:34:19,719 --> 00:34:23,920
Speaker 1: make the winner. Yeah, somebow they do. I would. I

605
00:34:23,960 --> 00:34:26,480
Speaker 1: would love love to see this, So I guess I'm

606
00:34:26,520 --> 00:34:29,279
Speaker 1: I'm coming out. If you decided to do that, I

607
00:34:29,320 --> 00:34:31,160
Speaker 1: will make that work because that would just be too

608
00:34:31,200 --> 00:34:33,520
Speaker 1: much fun. It'd be a lot of fun. Oh my gosh, Yeah,

609
00:34:33,760 --> 00:34:36,440
Speaker 1: we do a podcast every night. I'd be up for that.

610
00:34:36,520 --> 00:34:39,720
Speaker 1: I think there'll be plenty of talk about. Yeah. Well,

611
00:34:39,160 --> 00:34:41,959
Speaker 1: if each of us had a tag, that'd be six

612
00:34:41,960 --> 00:34:44,760
Speaker 1: tags we'd have to fill. I could do a whole

613
00:34:44,800 --> 00:34:49,359
Speaker 1: TV season of just white tails. That'd be pretty cool.

614
00:34:50,040 --> 00:34:52,520
Speaker 1: A lot of good YouTube videos, at least a lot

615
00:34:52,560 --> 00:34:57,400
Speaker 1: of YouTube stuff that would be that would be awesome. Um,

616
00:34:57,520 --> 00:35:00,560
Speaker 1: back to bears though, bears. Yeah, sorry, See, we get

617
00:35:01,520 --> 00:35:04,960
Speaker 1: that's part of being white tail nutsy. Everything kind of

618
00:35:05,280 --> 00:35:08,400
Speaker 1: spirals down that direction, and that's really what we should

619
00:35:08,400 --> 00:35:10,960
Speaker 1: be talking about since this is traditionally a white tail podcast,

620
00:35:10,960 --> 00:35:12,640
Speaker 1: But I want to cover a little of this bear

621
00:35:12,680 --> 00:35:15,799
Speaker 1: stuff because the bears are pretty darn cool. Um. So

622
00:35:15,840 --> 00:35:20,080
Speaker 1: we didn't end up seeing a bear either night. But um,

623
00:35:20,200 --> 00:35:22,560
Speaker 1: what I want to touch on is in the future

624
00:35:22,680 --> 00:35:24,200
Speaker 1: next time I come out, if I'm doing us on

625
00:35:24,280 --> 00:35:26,480
Speaker 1: my own, or if somebody's listening and they want to

626
00:35:26,480 --> 00:35:28,840
Speaker 1: try this someday. We've talked a little bit about some

627
00:35:28,840 --> 00:35:31,239
Speaker 1: of the place to look, but what else is the

628
00:35:31,280 --> 00:35:33,719
Speaker 1: first time black bear hunter need to know? Heading out

629
00:35:33,760 --> 00:35:35,440
Speaker 1: in the spring, somewhere try and do a spot in

630
00:35:35,480 --> 00:35:38,000
Speaker 1: stock hunt. Is there anything we haven't touched on as

631
00:35:38,040 --> 00:35:40,520
Speaker 1: far as where to look for him, as far as

632
00:35:40,560 --> 00:35:44,040
Speaker 1: when to be out there, as far as Uh, I

633
00:35:44,040 --> 00:35:47,440
Speaker 1: don't know specific glassing techniques or things to consider when

634
00:35:47,440 --> 00:35:49,839
Speaker 1: you're actually stalking at them, anything else that we need

635
00:35:49,880 --> 00:35:54,319
Speaker 1: to cover there. Yeah. Um, let's start with you know,

636
00:35:54,360 --> 00:35:59,200
Speaker 1: the person is just coming out who's never bear hunted before. Um,

637
00:35:59,239 --> 00:36:01,759
Speaker 1: if you want to give yourself the best advantage, I'd

638
00:36:01,760 --> 00:36:07,560
Speaker 1: say come out May ten through then in across all

639
00:36:07,680 --> 00:36:12,880
Speaker 1: three of the states we're talking about, Montana, Idaho, and Wyoming. Uh,

640
00:36:12,960 --> 00:36:17,239
Speaker 1: you're gonna have bears that are moving around because the

641
00:36:17,320 --> 00:36:20,839
Speaker 1: bear breeding season starts in late May and runs through

642
00:36:20,840 --> 00:36:24,680
Speaker 1: about you. And so if you want to find if

643
00:36:24,680 --> 00:36:29,000
Speaker 1: you're really focused on, say a big boar, he's going

644
00:36:29,040 --> 00:36:32,120
Speaker 1: to be most active the first part of you because

645
00:36:32,200 --> 00:36:36,080
Speaker 1: he's searching out phemales um. The downside of that is

646
00:36:36,080 --> 00:36:39,560
Speaker 1: is sometimes their hide can be rubbed really really bad

647
00:36:39,600 --> 00:36:42,360
Speaker 1: by then, So it's it's a little bit of a

648
00:36:42,360 --> 00:36:44,919
Speaker 1: trade off. But usually the dumb question I'm starting to rupt,

649
00:36:45,560 --> 00:36:47,120
Speaker 1: but being a non bear hunt when you say their

650
00:36:47,160 --> 00:36:49,200
Speaker 1: hides are rubbed up is that they're just rubbed up

651
00:36:49,200 --> 00:36:53,760
Speaker 1: on trees. It's just it's the hair their winter coat

652
00:36:53,920 --> 00:36:57,719
Speaker 1: is starting to shed. So it's some some of the

653
00:36:57,760 --> 00:37:02,440
Speaker 1: old boars. It doesn't happen nearly as pronounced as with

654
00:37:02,520 --> 00:37:05,840
Speaker 1: the sows. The sows I think they come out of

655
00:37:05,840 --> 00:37:08,759
Speaker 1: the den's a little earlier, and they I've seen some

656
00:37:08,920 --> 00:37:13,080
Speaker 1: mangy looking at the sows that just it. You look

657
00:37:13,080 --> 00:37:17,080
Speaker 1: at them and you think, my goodness, who would not

658
00:37:17,200 --> 00:37:20,960
Speaker 1: that you would? You? You select for boars anyhow, because

659
00:37:21,160 --> 00:37:24,279
Speaker 1: bears have a little reproductive rate, so you'd always want

660
00:37:24,280 --> 00:37:26,120
Speaker 1: to pass on the south if you possibly can. But

661
00:37:26,239 --> 00:37:30,120
Speaker 1: rubbed means they look like they rubbed against the tree.

662
00:37:30,120 --> 00:37:32,640
Speaker 1: It doesn't necessarily mean they're rubbing against tree. It's just

663
00:37:33,680 --> 00:37:36,840
Speaker 1: they're they're transitioning the kind of like your dog is shedding.

664
00:37:37,400 --> 00:37:41,240
Speaker 1: But they don't shed smoothly that big patches and chunks

665
00:37:41,280 --> 00:37:44,000
Speaker 1: come out. And though usually the areas that that will

666
00:37:44,040 --> 00:37:46,840
Speaker 1: shed first will be the front legs and then the

667
00:37:46,960 --> 00:37:51,880
Speaker 1: flanks um and uh, you'll you'll know. You'll look at it,

668
00:37:51,880 --> 00:37:54,680
Speaker 1: you're like, what's wrong with that bear? And usually it's

669
00:37:55,640 --> 00:37:59,360
Speaker 1: they're rubbed. So but back back to the point about

670
00:37:59,400 --> 00:38:02,960
Speaker 1: where to find them. If you came out May tenth through,

671
00:38:03,760 --> 00:38:07,839
Speaker 1: you're going to catch a window there that pretty much

672
00:38:07,880 --> 00:38:11,320
Speaker 1: every bear is out of there DAN by that time. Uh,

673
00:38:11,400 --> 00:38:13,480
Speaker 1: it's going to be a little bit dependent upon weather.

674
00:38:14,480 --> 00:38:18,359
Speaker 1: How far up the mountain they are. UM for me,

675
00:38:18,719 --> 00:38:23,160
Speaker 1: I look for so think about in the springtime they

676
00:38:23,200 --> 00:38:24,799
Speaker 1: come out of the Dan. They've got to get their

677
00:38:24,840 --> 00:38:28,800
Speaker 1: digestive system going again. They've been hibernating for five months,

678
00:38:28,840 --> 00:38:34,160
Speaker 1: six months, and they are hitting vegetation heavy at that point. Uh.

679
00:38:34,280 --> 00:38:39,160
Speaker 1: They love the really succulent stuff like flowers, glacier lily, skunk,

680
00:38:39,239 --> 00:38:42,759
Speaker 1: cabbage more so than just grasses. And a lot of

681
00:38:42,800 --> 00:38:46,080
Speaker 1: times you'll look up the mountain and if you take

682
00:38:46,120 --> 00:38:48,840
Speaker 1: your binoculars or spotting to go, you'll see some of

683
00:38:48,840 --> 00:38:52,600
Speaker 1: those places that have this deeper green to it, and

684
00:38:52,680 --> 00:38:56,719
Speaker 1: it also might have a lot of flowers looks like flowers.

685
00:38:57,960 --> 00:39:02,399
Speaker 1: That's those are the places I look for, UM. And

686
00:39:02,520 --> 00:39:06,000
Speaker 1: I'm not a bear expert by any stretch. Uh. There's

687
00:39:06,040 --> 00:39:09,600
Speaker 1: some guys who they have it absolutely dialed in because

688
00:39:09,600 --> 00:39:13,560
Speaker 1: they've hunted the same mountain range for twenty years. There's

689
00:39:13,600 --> 00:39:16,640
Speaker 1: nothing that beats that. But you could come out in

690
00:39:16,760 --> 00:39:19,160
Speaker 1: most places in the Rockies. And if you find those

691
00:39:19,239 --> 00:39:22,800
Speaker 1: kind of spots that give you multiple places to glass,

692
00:39:22,920 --> 00:39:27,280
Speaker 1: multiple openings, uh, lots are you're gonna encounter a few bears,

693
00:39:27,320 --> 00:39:31,319
Speaker 1: and in that area, pay attention to what pattern or

694
00:39:31,360 --> 00:39:35,480
Speaker 1: what what is happening. Okay, I saw this bear at

695
00:39:35,560 --> 00:39:39,120
Speaker 1: nine thousand feet. Wow, yesterday I saw bears up around

696
00:39:39,200 --> 00:39:41,600
Speaker 1: nine thousand feet. Well, guess what, there's something at that

697
00:39:41,719 --> 00:39:45,120
Speaker 1: nine thousand foot level that's attracting him. Or it might

698
00:39:45,160 --> 00:39:47,560
Speaker 1: be the flip side. Okay there, Wow, I climbed up.

699
00:39:48,600 --> 00:39:52,319
Speaker 1: They're all down at six so or it might be

700
00:39:52,480 --> 00:39:54,680
Speaker 1: all right there all on north facing slopes where the

701
00:39:54,719 --> 00:39:57,600
Speaker 1: snow still hasn't melted there, even right on the edge

702
00:39:57,600 --> 00:40:01,439
Speaker 1: of the snow. It These bear are in so many

703
00:40:01,480 --> 00:40:04,640
Speaker 1: different places, it's you're you're going to have a pretty

704
00:40:04,640 --> 00:40:08,160
Speaker 1: good chance of seeing them. Uh. One thing they do

705
00:40:08,400 --> 00:40:12,480
Speaker 1: like nearby usually is some shady place too bad during

706
00:40:12,480 --> 00:40:15,920
Speaker 1: the day. Ah, you asked me on the mountain the

707
00:40:16,000 --> 00:40:18,400
Speaker 1: other night, do I ever hunt in the morning, and

708
00:40:18,600 --> 00:40:21,480
Speaker 1: and I don't. I'm not saying that it's not good

709
00:40:21,520 --> 00:40:23,160
Speaker 1: bear hunting in the morning, It's just that I never

710
00:40:23,400 --> 00:40:26,480
Speaker 1: do it. Uh. And very few of the guys I

711
00:40:26,520 --> 00:40:28,600
Speaker 1: know hunt in the morning. So I've heard this a

712
00:40:28,600 --> 00:40:32,080
Speaker 1: lot from other people too. Yeah, they tend to focus

713
00:40:32,080 --> 00:40:36,279
Speaker 1: on afternoons. And I don't know if that's just I

714
00:40:36,280 --> 00:40:40,920
Speaker 1: don't know if that's a habit that we've collectively formed. Uh,

715
00:40:40,960 --> 00:40:43,800
Speaker 1: but I've I have. When I first started bear hunting,

716
00:40:43,800 --> 00:40:45,920
Speaker 1: I spent a lot of time hunting all day long,

717
00:40:46,560 --> 00:40:50,279
Speaker 1: and I would say overwhelmingly the number of encounters or

718
00:40:50,400 --> 00:40:54,600
Speaker 1: bears I spotted were from three in the afternoon on

719
00:40:55,160 --> 00:41:00,400
Speaker 1: kill dark. Um. Question about location. Yeah, one thing, Um,

720
00:41:01,120 --> 00:41:03,719
Speaker 1: I want to think about chasing elk or deer out

721
00:41:03,760 --> 00:41:06,360
Speaker 1: west lots of times. It's how he gets far away

722
00:41:06,360 --> 00:41:08,960
Speaker 1: from the road as possible, get away from trailheads, get

723
00:41:08,960 --> 00:41:13,040
Speaker 1: away from other people. Um. Is that something you worry

724
00:41:13,040 --> 00:41:15,000
Speaker 1: about as much of the bear hunting or not? I do,

725
00:41:15,360 --> 00:41:18,320
Speaker 1: because the stuff near roads and trailheads is going to

726
00:41:18,440 --> 00:41:21,760
Speaker 1: be hunted harder, and so your age class of bears

727
00:41:22,520 --> 00:41:26,759
Speaker 1: uh is going to be much lower. Ah. It's if

728
00:41:26,800 --> 00:41:28,920
Speaker 1: you do have a bear that came out of it's Dan.

729
00:41:29,040 --> 00:41:31,560
Speaker 1: Say he made the mistake at Dan and near a trailhead,

730
00:41:31,800 --> 00:41:34,200
Speaker 1: and when he comes out and he's first getting his

731
00:41:34,280 --> 00:41:37,320
Speaker 1: bearings about him, Uh, odds are he's going to get

732
00:41:38,120 --> 00:41:41,960
Speaker 1: picked off. So you know, I'm usually hiking a mile

733
00:41:42,080 --> 00:41:44,920
Speaker 1: mile and a half from a road or trailheads just

734
00:41:45,040 --> 00:41:50,680
Speaker 1: because I'm I know that just like elk uh. Even

735
00:41:50,719 --> 00:41:53,960
Speaker 1: if bears are a little bit more habituated to humans. Uh,

736
00:41:54,200 --> 00:41:58,160
Speaker 1: and sometimes humans provide them food through garbage cans or

737
00:41:58,200 --> 00:42:02,640
Speaker 1: bird feeders or whatever. Uh. General rule is bears want

738
00:42:02,680 --> 00:42:06,439
Speaker 1: to be away from people also, So those spots where

739
00:42:06,480 --> 00:42:10,280
Speaker 1: we were glass and uh, you know, if we would

740
00:42:10,280 --> 00:42:14,399
Speaker 1: have seen bears in some of those spots, we we'd

741
00:42:14,440 --> 00:42:16,239
Speaker 1: hiked in about a mile and a half, we might

742
00:42:16,280 --> 00:42:18,120
Speaker 1: have had to run another mile and a half, so

743
00:42:18,160 --> 00:42:19,880
Speaker 1: we would have been three miles from a road at

744
00:42:19,920 --> 00:42:23,160
Speaker 1: that point. So I do I look for those kind

745
00:42:23,200 --> 00:42:26,960
Speaker 1: of places. What about hunting pressure during spring bearing season,

746
00:42:27,360 --> 00:42:31,399
Speaker 1: I'm assuming it's much less than elker deer Wait wait,

747
00:42:31,560 --> 00:42:33,640
Speaker 1: way way less? Do you still have to think about

748
00:42:33,640 --> 00:42:37,520
Speaker 1: it though, decent bit or yeah? I do? And I

749
00:42:37,640 --> 00:42:41,080
Speaker 1: know that hunting pressure is going to be really heavy

750
00:42:41,080 --> 00:42:46,400
Speaker 1: Friday evening, Saturday and Sunday. So if I was traveling

751
00:42:46,400 --> 00:42:48,640
Speaker 1: out here to do a hunt, I'd want to get

752
00:42:48,680 --> 00:42:51,000
Speaker 1: here on a Saturday or Sunday scout a little bit

753
00:42:51,040 --> 00:42:54,080
Speaker 1: and then really start my hunting Monday, Tuesday, Wednesday, Thursday,

754
00:42:54,760 --> 00:42:57,640
Speaker 1: and you'd almost have it to yourself. That's good to know.

755
00:42:58,320 --> 00:43:02,080
Speaker 1: And we had no problem during our weekend hunts. Yeah.

756
00:43:02,400 --> 00:43:06,680
Speaker 1: I mean, if you're gonna plan time to come out, ah,

757
00:43:06,840 --> 00:43:11,600
Speaker 1: that's what I would do. I mean, there the amount

758
00:43:11,640 --> 00:43:14,080
Speaker 1: of hunting pressure for spring bears compared to deer now

759
00:43:14,120 --> 00:43:18,880
Speaker 1: because not even I don't even think it's ten. Yeah. Yeah,

760
00:43:19,000 --> 00:43:21,680
Speaker 1: it's nice to be out there and not worried about

761
00:43:21,719 --> 00:43:24,239
Speaker 1: seeing people all the time. It was really nice being

762
00:43:24,239 --> 00:43:26,000
Speaker 1: out there. You know. Last night we were talking about

763
00:43:26,040 --> 00:43:29,239
Speaker 1: we were just sitting out and you know, I was

764
00:43:29,280 --> 00:43:31,320
Speaker 1: a little bit bumming out. We hadn't seen any bears.

765
00:43:31,360 --> 00:43:32,799
Speaker 1: But I kind of caught myself and I was like,

766
00:43:32,800 --> 00:43:36,880
Speaker 1: look around you. Right now, you are surrounded by hundreds

767
00:43:36,880 --> 00:43:39,520
Speaker 1: of thousands, if not millions, of acres of public land

768
00:43:39,840 --> 00:43:43,120
Speaker 1: stretching in every direction as far as the eye can see.

769
00:43:44,280 --> 00:43:48,080
Speaker 1: That is we own title too, that we can roam it,

770
00:43:48,360 --> 00:43:53,200
Speaker 1: walk it, hunt it, explore it. And it's just I'm

771
00:43:53,280 --> 00:43:56,800
Speaker 1: constantly in awe when I when I take a second

772
00:43:56,840 --> 00:43:59,520
Speaker 1: to step back from whatever I'm focused on, and just

773
00:43:59,560 --> 00:44:02,240
Speaker 1: like look out of it. This is this is incredible.

774
00:44:02,239 --> 00:44:04,040
Speaker 1: There's nobody else out here right now. I don't think

775
00:44:04,040 --> 00:44:05,960
Speaker 1: there would have been a single person probably out there.

776
00:44:06,000 --> 00:44:07,719
Speaker 1: I mean there could have been, but you would never

777
00:44:07,760 --> 00:44:10,759
Speaker 1: know it if there was. In our two nights, we

778
00:44:10,840 --> 00:44:15,800
Speaker 1: did not see another. That's we saw. We saw some turkeys.

779
00:44:16,400 --> 00:44:19,640
Speaker 1: There were a couple of hammering off. Yeah. Any of

780
00:44:19,680 --> 00:44:23,360
Speaker 1: you have ever taken Mark on a bear hunt when

781
00:44:23,400 --> 00:44:27,319
Speaker 1: there's some turkeys goblin down below, you almost have to

782
00:44:27,320 --> 00:44:31,320
Speaker 1: tether him to a tree. I did get excited. I

783
00:44:32,200 --> 00:44:33,960
Speaker 1: gotta kick out of that. That's the first time I've

784
00:44:33,960 --> 00:44:37,319
Speaker 1: ever seen turkeys up way up in the drainages like that.

785
00:44:37,480 --> 00:44:39,600
Speaker 1: I have no idea what they're doing up there. They

786
00:44:39,600 --> 00:44:42,360
Speaker 1: were gobbling because the first time you told me you

787
00:44:42,440 --> 00:44:44,319
Speaker 1: heard when I said, oh, that's a sand hill, Craine

788
00:44:44,440 --> 00:44:47,120
Speaker 1: was like, man, am I going crazy because swore that

789
00:44:47,239 --> 00:44:51,839
Speaker 1: was a turkey. But I trusted you. Then, even my

790
00:44:51,920 --> 00:44:54,920
Speaker 1: bad hearing, I'm like, whoa, that is turkey? Turkey and

791
00:44:55,000 --> 00:44:57,399
Speaker 1: Mark can call him without a call. That was fun.

792
00:44:57,480 --> 00:45:00,839
Speaker 1: They were responding just a little, a little yelp when

793
00:45:00,880 --> 00:45:04,600
Speaker 1: I was doing there, but to something you mentioned a

794
00:45:04,600 --> 00:45:06,880
Speaker 1: second ago. I want to touch on because this is

795
00:45:06,920 --> 00:45:08,560
Speaker 1: one of the things I was worried about the most

796
00:45:08,600 --> 00:45:11,160
Speaker 1: when I was planning going on my own. You mentioned

797
00:45:11,200 --> 00:45:13,279
Speaker 1: the fact that we should be targeting boars and not

798
00:45:13,400 --> 00:45:16,000
Speaker 1: sous because the fact that they've got that low reproductive rate,

799
00:45:16,680 --> 00:45:19,120
Speaker 1: and I had been worried, like, oh my gosh, I'm

800
00:45:19,120 --> 00:45:21,319
Speaker 1: not gonna screw up and misidentify. How do I tell

801
00:45:21,320 --> 00:45:23,400
Speaker 1: the difference between a male and a female? Um? So

802
00:45:23,440 --> 00:45:25,160
Speaker 1: I tried to watch the videos. I tried looking at

803
00:45:25,160 --> 00:45:29,200
Speaker 1: pictures and doing different things like that. Um, but it's

804
00:45:29,239 --> 00:45:30,640
Speaker 1: a little hard to do this. I was showing, But

805
00:45:30,680 --> 00:45:33,399
Speaker 1: what can you tell us about identifying a male versus

806
00:45:33,440 --> 00:45:36,000
Speaker 1: a female black bear? How did you do that? Um?

807
00:45:36,320 --> 00:45:40,680
Speaker 1: The the obvious one is if the sow has cubs.

808
00:45:40,800 --> 00:45:44,160
Speaker 1: Before I go after a bear, I watch it for

809
00:45:44,200 --> 00:45:48,280
Speaker 1: as long as I think is good because I don't

810
00:45:48,320 --> 00:45:52,280
Speaker 1: want I don't want to run over there get all excited.

811
00:45:52,280 --> 00:45:54,439
Speaker 1: And then I get there and here comes a cub

812
00:45:54,560 --> 00:45:57,759
Speaker 1: or two little cubs walking out of the brush. Um,

813
00:45:58,000 --> 00:46:00,560
Speaker 1: that's your first indicator that it could be a sou.

814
00:46:00,760 --> 00:46:05,719
Speaker 1: There's cubs. Just enjoy the view and watch and observe. Uh.

815
00:46:05,880 --> 00:46:09,759
Speaker 1: If there aren't any cubs, if I tell people, if

816
00:46:10,120 --> 00:46:12,200
Speaker 1: if you went to the supermarket and bought a pair

817
00:46:12,239 --> 00:46:15,600
Speaker 1: and laid it on its side, you'd have one side

818
00:46:15,600 --> 00:46:19,160
Speaker 1: of it is like tall and one side of it

819
00:46:19,239 --> 00:46:22,920
Speaker 1: is narrow. Well, a sow black bear kind of looks

820
00:46:22,960 --> 00:46:25,880
Speaker 1: like a pair from a side profile. It's rump looks

821
00:46:25,920 --> 00:46:29,520
Speaker 1: really big, and it gets really dainty out towards the front,

822
00:46:30,360 --> 00:46:33,640
Speaker 1: whereas a boar he looks like a big russet potato.

823
00:46:34,000 --> 00:46:36,600
Speaker 1: I mean he's big in the rump, he's big in

824
00:46:36,640 --> 00:46:39,359
Speaker 1: the shoulders, he's big in the neck. It's a refrigerator

825
00:46:39,400 --> 00:46:41,759
Speaker 1: walking across the So if you see him at a

826
00:46:41,840 --> 00:46:45,239
Speaker 1: side profile and they have a smaller front end than

827
00:46:45,280 --> 00:46:48,040
Speaker 1: they do a back end, and just about bet that

828
00:46:48,160 --> 00:46:51,640
Speaker 1: it's a sow, then if you see him straight on,

829
00:46:52,760 --> 00:46:55,359
Speaker 1: a boar is going to have these big shoulders. They

830
00:46:55,400 --> 00:46:58,799
Speaker 1: almost look bull legged when they're walking. I mean their

831
00:46:58,840 --> 00:47:02,560
Speaker 1: front legs are bow almost and and they waddle more

832
00:47:02,600 --> 00:47:06,279
Speaker 1: than walk. If you can see it from straight on

833
00:47:06,320 --> 00:47:09,400
Speaker 1: through your spotting scope and it's a sow, its shoulders

834
00:47:09,440 --> 00:47:12,280
Speaker 1: are gonna look very dainty and narrow, and it's gonna

835
00:47:12,320 --> 00:47:15,080
Speaker 1: walk almost with one foot in front of the other

836
00:47:15,080 --> 00:47:18,719
Speaker 1: instead of this swagger. Uh. And then as far as

837
00:47:18,719 --> 00:47:21,440
Speaker 1: the head, a boar is gonna have a much bigger

838
00:47:21,480 --> 00:47:23,960
Speaker 1: head than a sow. A sow is gonna look like

839
00:47:24,120 --> 00:47:29,239
Speaker 1: mostly nose and ears. A boar, a mature boar, his

840
00:47:29,360 --> 00:47:31,840
Speaker 1: ears are going to be over towards the side of

841
00:47:31,880 --> 00:47:34,080
Speaker 1: his head instead of like a sow. Her ears are

842
00:47:34,080 --> 00:47:37,080
Speaker 1: going to be on the top of her head. Uh.

843
00:47:37,200 --> 00:47:40,759
Speaker 1: There's not one definitive thing, but there's a multitude of things.

844
00:47:40,760 --> 00:47:43,200
Speaker 1: If you start looking at it. If you've got quite

845
00:47:43,239 --> 00:47:46,600
Speaker 1: a bit of a gap between the ears, odds are

846
00:47:46,640 --> 00:47:49,200
Speaker 1: you got a boar. If there's not much gap there

847
00:47:49,560 --> 00:47:52,040
Speaker 1: and those ears look pretty big relative to the head,

848
00:47:52,640 --> 00:47:57,080
Speaker 1: odds already have a sow. So there's there's not an

849
00:47:57,160 --> 00:48:00,960
Speaker 1: absolute science to it. Uh. When you do see a

850
00:48:00,960 --> 00:48:04,080
Speaker 1: sow with cubs and you absolutely know that's a sow,

851
00:48:04,800 --> 00:48:07,839
Speaker 1: observer for a long time and just try to get

852
00:48:07,840 --> 00:48:10,879
Speaker 1: a feel for what those traits of her body is

853
00:48:11,560 --> 00:48:15,560
Speaker 1: and you'll you'll quickly be able to say next time

854
00:48:16,360 --> 00:48:22,480
Speaker 1: that that's probably a sow. Um. So there's something just

855
00:48:22,600 --> 00:48:27,080
Speaker 1: about watching bears that I find so cool, Like, I

856
00:48:27,239 --> 00:48:30,520
Speaker 1: think they are such interesting animals that the things they

857
00:48:30,560 --> 00:48:33,560
Speaker 1: do or interact and I've watched a sow with cubs,

858
00:48:33,600 --> 00:48:37,000
Speaker 1: both black or grizzly, and just seeing how they interact

859
00:48:37,040 --> 00:48:39,240
Speaker 1: the things they do. I don't know, there's just something

860
00:48:39,280 --> 00:48:41,520
Speaker 1: really neat about bears. I can sit and just watch

861
00:48:41,560 --> 00:48:45,200
Speaker 1: them for hours. No, I think bears are the most

862
00:48:45,560 --> 00:48:49,920
Speaker 1: comfortable animal. And I say comfortable. They just go about

863
00:48:49,960 --> 00:48:54,000
Speaker 1: their business and they really aren't like deer and elky.

864
00:48:54,200 --> 00:48:59,279
Speaker 1: They're always like spring loaded. Uh. A bear is just

865
00:48:59,840 --> 00:49:03,200
Speaker 1: I'm I'm a big bad dude. I'm here doing what

866
00:49:03,239 --> 00:49:05,880
Speaker 1: I'm doing. I'm making noise, I don't care. I'm tearing

867
00:49:05,960 --> 00:49:10,600
Speaker 1: up roots or snapping off trees or whatever. And there's

868
00:49:10,600 --> 00:49:13,520
Speaker 1: who I am. I own the joint. And it's kind

869
00:49:13,560 --> 00:49:15,840
Speaker 1: of fun to watch them. One of the things that

870
00:49:15,960 --> 00:49:18,680
Speaker 1: is interesting is you get towards la late may when

871
00:49:18,680 --> 00:49:24,560
Speaker 1: you're watching them. Uh. I've seen boars try to interact

872
00:49:24,640 --> 00:49:28,479
Speaker 1: with sows, and if they have cubs, those sows will

873
00:49:28,560 --> 00:49:34,080
Speaker 1: run those cubs up those trees immediately because uh a

874
00:49:34,239 --> 00:49:37,279
Speaker 1: boar he wants that saw to come into heat, so

875
00:49:37,640 --> 00:49:42,000
Speaker 1: he will kill. One of the greatest problems with bare

876
00:49:42,080 --> 00:49:46,680
Speaker 1: reproduction can be boars killing the offspring of other boars,

877
00:49:46,719 --> 00:49:49,839
Speaker 1: so he will kill those cubs, and you'll see those

878
00:49:49,840 --> 00:49:53,279
Speaker 1: sALS instantly run those cubs up that tree, and she

879
00:49:53,719 --> 00:49:57,840
Speaker 1: is acting ornery and you'll see him come walking around

880
00:49:57,880 --> 00:50:02,040
Speaker 1: and she's like, he wants on this, buddy, I'm gonna

881
00:50:02,400 --> 00:50:04,680
Speaker 1: and uh So it's kind of funny to watch, and

882
00:50:05,040 --> 00:50:08,839
Speaker 1: I enjoy watching them try to interact in late May.

883
00:50:09,040 --> 00:50:13,279
Speaker 1: It's uh, it's very entertaining. Yeah, that's the one thing

884
00:50:13,320 --> 00:50:16,280
Speaker 1: I'm just so bummed about. It is like I literally

885
00:50:16,360 --> 00:50:18,360
Speaker 1: could do what we did last night seven days in

886
00:50:18,360 --> 00:50:20,879
Speaker 1: a row, ten days, and I wish I had more

887
00:50:20,920 --> 00:50:24,640
Speaker 1: time to sit and watch and um, if I lived

888
00:50:24,680 --> 00:50:30,160
Speaker 1: out here, I'd be doing this. Yeah. I am lucky

889
00:50:30,360 --> 00:50:31,880
Speaker 1: to live in a place where I get to go

890
00:50:31,920 --> 00:50:34,080
Speaker 1: do that for you know, last night you asked me

891
00:50:34,120 --> 00:50:36,839
Speaker 1: how many days will I sit on these mountains just

892
00:50:36,960 --> 00:50:39,839
Speaker 1: in May, and you know, just here in Montana, it's

893
00:50:39,840 --> 00:50:44,080
Speaker 1: probably gonna be six to ten days. This year was

894
00:50:44,200 --> 00:50:48,479
Speaker 1: just sitting and observing whether whether or not I'm lucky

895
00:50:48,560 --> 00:50:50,759
Speaker 1: enough to find a bear, I don't know. And then

896
00:50:50,800 --> 00:50:53,280
Speaker 1: I'm gonna try to go to Idaho in early June

897
00:50:53,280 --> 00:50:55,879
Speaker 1: and do the same thing. So I don't know. It's

898
00:50:56,000 --> 00:51:00,279
Speaker 1: it's good exercise. It's great fun. Uh And I I

899
00:51:00,400 --> 00:51:02,440
Speaker 1: learned a lot when I'm out there, no matter what

900
00:51:02,480 --> 00:51:05,600
Speaker 1: it is, I'm learning something about that species, whether it's

901
00:51:05,600 --> 00:51:09,000
Speaker 1: the deer, elk I'm looking at her bears, or just

902
00:51:09,160 --> 00:51:12,040
Speaker 1: learn something about how that landscape is being used by

903
00:51:12,040 --> 00:51:16,160
Speaker 1: the wildlife. If you it seems like if you open

904
00:51:16,200 --> 00:51:18,600
Speaker 1: your eyes to it, there's a lot that you can

905
00:51:18,600 --> 00:51:20,880
Speaker 1: take in from any situation like that, if you just

906
00:51:21,280 --> 00:51:25,520
Speaker 1: pay attention, if you notice things. So I have two

907
00:51:25,520 --> 00:51:29,319
Speaker 1: more kind of practical questions I'm curious about. Okay, I'm

908
00:51:29,360 --> 00:51:33,120
Speaker 1: an impractical guy, so it takes your chances here. I

909
00:51:33,160 --> 00:51:35,319
Speaker 1: think a lot of people when switching from being just

910
00:51:35,360 --> 00:51:37,640
Speaker 1: a if I've only ever hunted deer, one of the

911
00:51:37,640 --> 00:51:40,120
Speaker 1: things a lot of people ask is what kind of

912
00:51:40,120 --> 00:51:42,080
Speaker 1: firepower do I need? Do I need to change my

913
00:51:42,160 --> 00:51:44,560
Speaker 1: archery set up? Do I need to change my rifle

914
00:51:44,600 --> 00:51:47,600
Speaker 1: set up? Firearm set up? What's your recommendation there? Can

915
00:51:47,640 --> 00:51:49,919
Speaker 1: I use my white tail gear hunt a black bear?

916
00:51:50,160 --> 00:51:52,160
Speaker 1: I do use all my white tail gear, same stuff,

917
00:51:52,200 --> 00:51:56,960
Speaker 1: whether it's your bow or your rifle. We've shot black

918
00:51:57,000 --> 00:52:00,520
Speaker 1: bears with a two seventy seven and m M O

919
00:52:00,600 --> 00:52:05,440
Speaker 1: eight three D wind MEG three O eight I mean

920
00:52:05,560 --> 00:52:10,360
Speaker 1: classic white tail calibers. You know, some people say, I

921
00:52:10,360 --> 00:52:12,799
Speaker 1: can't believe you'd hunting black bears with a seven mm OA.

922
00:52:13,800 --> 00:52:15,120
Speaker 1: You know what if you hit a black bear in

923
00:52:15,160 --> 00:52:17,680
Speaker 1: a vital spot with a hunter and forty grain accubon

924
00:52:17,960 --> 00:52:22,520
Speaker 1: or good high quality bullet partition whatever it is, that

925
00:52:22,560 --> 00:52:25,840
Speaker 1: bears not going anywhere. If you hit that bear in

926
00:52:25,880 --> 00:52:29,040
Speaker 1: the vitals with a sixty pound draw weight bow with

927
00:52:29,080 --> 00:52:34,359
Speaker 1: a good sturdy broadhead, guess what if that broadhead sharp,

928
00:52:34,680 --> 00:52:39,279
Speaker 1: that bears not going very far? So I I if

929
00:52:39,320 --> 00:52:42,800
Speaker 1: I was coming out here, I wouldn't I wouldn't invest

930
00:52:42,840 --> 00:52:48,200
Speaker 1: an extra diamond equipment. If if I was a rifle hunter,

931
00:52:48,600 --> 00:52:50,319
Speaker 1: I just make sure I was using some sort of

932
00:52:50,360 --> 00:52:54,880
Speaker 1: premium constructed bullet. Okay, well that's nice. The barrier to

933
00:52:55,080 --> 00:52:58,680
Speaker 1: entry again very low, very low for white tail. Bring

934
00:52:58,680 --> 00:53:03,440
Speaker 1: your same YEP, fine over the counter taghi of a hill,

935
00:53:03,560 --> 00:53:07,440
Speaker 1: look around a lot and have so. Then my final

936
00:53:07,520 --> 00:53:10,600
Speaker 1: question would be, then I wish I had, I wish

937
00:53:10,640 --> 00:53:12,479
Speaker 1: I had to be dealing with this situation right now.

938
00:53:12,600 --> 00:53:15,400
Speaker 1: But next year, next year, I will. Can you give

939
00:53:15,480 --> 00:53:18,000
Speaker 1: us some advice on eating black bears, some ways to

940
00:53:18,200 --> 00:53:21,360
Speaker 1: prepare or or make sure because some people give the

941
00:53:21,400 --> 00:53:25,280
Speaker 1: black bears a bad rap um, say they're greasy or whatever.

942
00:53:25,840 --> 00:53:27,839
Speaker 1: How do you go about it? So black bears are

943
00:53:27,880 --> 00:53:31,480
Speaker 1: fun for the dinner table. Yeah, And for a little background,

944
00:53:32,360 --> 00:53:35,799
Speaker 1: growing up in northern Minnesota, my dad used to set

945
00:53:35,800 --> 00:53:38,600
Speaker 1: out bait stations for bear hunters and that was all

946
00:53:38,640 --> 00:53:41,200
Speaker 1: fall bear hunting in September. So those bears have been

947
00:53:41,239 --> 00:53:45,040
Speaker 1: on berries all summer, and they almost had a sweet

948
00:53:45,040 --> 00:53:48,080
Speaker 1: taste to him. In some of those places, it was

949
00:53:48,200 --> 00:53:52,480
Speaker 1: hard to find a strong tasting black bear when they've

950
00:53:52,520 --> 00:53:57,800
Speaker 1: been on berries all summer in the springtime. I'm just gonna,

951
00:53:58,440 --> 00:54:02,880
Speaker 1: you know, let people understand that those bears probably ate,

952
00:54:03,840 --> 00:54:07,239
Speaker 1: probably ate an elk gut pile just before they went

953
00:54:07,239 --> 00:54:11,080
Speaker 1: in the dan, and they've been sleeping for four or

954
00:54:11,120 --> 00:54:15,200
Speaker 1: five or six months however long they've hibernated, and they've

955
00:54:15,239 --> 00:54:18,520
Speaker 1: just come out, they're going to be a stronger taste.

956
00:54:18,520 --> 00:54:20,759
Speaker 1: They don't have the fat like they do in the

957
00:54:20,880 --> 00:54:25,359
Speaker 1: fall um, you know, just their their body hasn't been

958
00:54:25,400 --> 00:54:29,080
Speaker 1: circulating enough vegetation and food froom, so they're gonna the

959
00:54:29,200 --> 00:54:34,799
Speaker 1: spring bears are definitely stronger than a fall bear. Uh,

960
00:54:35,560 --> 00:54:37,719
Speaker 1: you'd asked me the other night. How I prefer to

961
00:54:37,760 --> 00:54:41,040
Speaker 1: cook a bear. I'd prefer prefer to take a bear

962
00:54:41,120 --> 00:54:44,840
Speaker 1: roast and rump roast or whatever and slow cook it.

963
00:54:45,680 --> 00:54:50,360
Speaker 1: H and a croc pot or whatever with you know,

964
00:54:50,440 --> 00:54:54,280
Speaker 1: I I just like almost a stew type thing with carrots,

965
00:54:54,600 --> 00:54:59,400
Speaker 1: pearl onions, some potatoes, uh, some flavors. However you prefer

966
00:54:59,480 --> 00:55:02,640
Speaker 1: to flavor it. Uh. Sometimes I'll cook it that way

967
00:55:02,680 --> 00:55:04,160
Speaker 1: and then I'll take it out real quick and I'll

968
00:55:04,200 --> 00:55:06,000
Speaker 1: put a little rub on it, and I might throw

969
00:55:06,000 --> 00:55:10,719
Speaker 1: it on the grill just for a quick sear to it. Huh.

970
00:55:11,680 --> 00:55:14,200
Speaker 1: I don't stake my back straps on a bear like

971
00:55:14,280 --> 00:55:16,640
Speaker 1: I do an elk or a deer. I cook it

972
00:55:16,680 --> 00:55:22,000
Speaker 1: as a whole uh loin roast. Um. And the only

973
00:55:22,320 --> 00:55:25,160
Speaker 1: worry I always have with bears is they have a

974
00:55:25,200 --> 00:55:30,960
Speaker 1: pretty high incidence of trichinosis. And so depending on who

975
00:55:31,000 --> 00:55:34,080
Speaker 1: you talk to, most will say you want to cook

976
00:55:34,160 --> 00:55:38,280
Speaker 1: that thoroughly at least two hundred and sixty five degrees throughout.

977
00:55:39,200 --> 00:55:44,719
Speaker 1: I don't like well well done meat, so I will

978
00:55:44,760 --> 00:55:48,160
Speaker 1: with that backstrap. You know what kind of has this round?

979
00:55:48,239 --> 00:55:51,480
Speaker 1: It looks like a big long round cylinder of meat.

980
00:55:52,000 --> 00:55:55,359
Speaker 1: I will cut that lengthwise so that then I know

981
00:55:55,880 --> 00:55:59,960
Speaker 1: the interior will get cooked quicker without having to tortu

982
00:56:00,200 --> 00:56:03,560
Speaker 1: the outside. Um. And with those, I usually just put

983
00:56:03,880 --> 00:56:11,239
Speaker 1: a rub on it. Uh And for me, simpler is easier. Um.

984
00:56:11,280 --> 00:56:13,120
Speaker 1: You know there's a lot of guys who render their

985
00:56:13,160 --> 00:56:15,799
Speaker 1: bear fat and stuff like that. I've never done that.

986
00:56:15,800 --> 00:56:19,919
Speaker 1: I always worried it's going to go rant it on me. Uh. Yeah.

987
00:56:20,040 --> 00:56:22,400
Speaker 1: It used to be in Montana that if you shot

988
00:56:22,440 --> 00:56:25,960
Speaker 1: a bear that fish, Wildlife and Parks would test it

989
00:56:26,000 --> 00:56:29,000
Speaker 1: for tricking olysis. Now that's voluntary and you have to

990
00:56:29,040 --> 00:56:31,520
Speaker 1: pay the expense to get it tested for trick analysis.

991
00:56:33,480 --> 00:56:36,040
Speaker 1: We both know another guy who's been on our podcast.

992
00:56:36,160 --> 00:56:39,239
Speaker 1: His crew ended up the meat Eater crew. They ended

993
00:56:39,320 --> 00:56:42,280
Speaker 1: up with trickings and they learned this the hard way. Yeah,

994
00:56:42,360 --> 00:56:45,959
Speaker 1: even though they knew about it before. That's the that's

995
00:56:46,040 --> 00:56:49,680
Speaker 1: the part where I'm like, you guys knew better than that.

996
00:56:50,680 --> 00:56:54,960
Speaker 1: But I'm I've always been a little bit leary of

997
00:56:54,960 --> 00:56:59,960
Speaker 1: of that with bears. Um. And I've never had one

998
00:57:00,120 --> 00:57:02,960
Speaker 1: test positive for trick analysis. So I don't know what

999
00:57:03,000 --> 00:57:07,520
Speaker 1: the the frequency of trick analysis is. But if you're

1000
00:57:07,520 --> 00:57:12,120
Speaker 1: cooking bear meat, just make sure that as a safety

1001
00:57:12,680 --> 00:57:15,200
Speaker 1: make sure you get it above the I think most

1002
00:57:15,200 --> 00:57:18,000
Speaker 1: would tell you one sixty. You want to get it

1003
00:57:18,040 --> 00:57:21,160
Speaker 1: above that. I've seen that too when I was doing

1004
00:57:21,360 --> 00:57:23,960
Speaker 1: But for me, I I cook bear a lot like

1005
00:57:24,000 --> 00:57:28,320
Speaker 1: a cook elk. Pretty much, any elk recipe works good

1006
00:57:28,360 --> 00:57:32,040
Speaker 1: for bear cool. Well, I'm looking forward to putting that

1007
00:57:32,080 --> 00:57:34,920
Speaker 1: to the test a year from now. And and now

1008
00:57:35,520 --> 00:57:37,160
Speaker 1: I don't know if I actually will do this, but

1009
00:57:37,320 --> 00:57:39,480
Speaker 1: correct me if I'm wrong. But my bear tag is

1010
00:57:39,520 --> 00:57:42,360
Speaker 1: still good for the fall season two, right, So if

1011
00:57:42,360 --> 00:57:44,600
Speaker 1: I fail my dear tag early, I could could go

1012
00:57:44,680 --> 00:57:48,760
Speaker 1: bear hooting for some bears. And you will see the

1013
00:57:48,840 --> 00:57:52,040
Speaker 1: bears here in the fall are far more concentrated than

1014
00:57:52,080 --> 00:57:55,200
Speaker 1: they are in the spring. They are on berries. The

1015
00:57:55,280 --> 00:57:58,440
Speaker 1: black bears, anyhow, are on berries heavy in the fall.

1016
00:57:59,000 --> 00:58:01,520
Speaker 1: And you will go into these brushy creek drainagers, and

1017
00:58:01,600 --> 00:58:04,840
Speaker 1: if you sit there and watch, you will see these

1018
00:58:04,880 --> 00:58:09,640
Speaker 1: bears just pulling these limbs down and mowing on anything

1019
00:58:09,720 --> 00:58:13,200
Speaker 1: that looks like a berry, a huckleberry, choke, cherries. Where

1020
00:58:13,200 --> 00:58:16,040
Speaker 1: we were at the last two nights, those kind of

1021
00:58:16,080 --> 00:58:19,320
Speaker 1: purplish drainages you see, you know, those were in the fall.

1022
00:58:19,360 --> 00:58:22,760
Speaker 1: Those are just laden with choke cherries. Just looked and

1023
00:58:23,360 --> 00:58:25,680
Speaker 1: I can't tell you how many fall bears I've seen

1024
00:58:25,720 --> 00:58:29,720
Speaker 1: in there's just going after it. So I'm not going

1025
00:58:29,800 --> 00:58:31,960
Speaker 1: to give up my two thousand, seventy bear tag yet.

1026
00:58:33,240 --> 00:58:35,120
Speaker 1: There there could be a fall bear in my future.

1027
00:58:35,160 --> 00:58:37,919
Speaker 1: Maybe could be. That would be great. That would be cool.

1028
00:58:38,040 --> 00:58:40,760
Speaker 1: If I could get a deer. If I can draw

1029
00:58:40,840 --> 00:58:44,520
Speaker 1: that antelope tag on a prom and then pull off

1030
00:58:44,520 --> 00:58:48,360
Speaker 1: a bear, that would be something you do bear, whitetail,

1031
00:58:48,440 --> 00:58:52,040
Speaker 1: and prong horn in one trip. That'd be pretty wild.

1032
00:58:52,240 --> 00:58:56,040
Speaker 1: That would be really cool. It's doable, possible. I don't

1033
00:58:56,080 --> 00:58:59,840
Speaker 1: know how likely, but possible. It's possible. So I've got

1034
00:58:59,840 --> 00:59:02,640
Speaker 1: that to look forward to. I guess yeah, I'll be uh.

1035
00:59:02,680 --> 00:59:05,080
Speaker 1: I'll be odd elk hunting in September. If you're out

1036
00:59:05,120 --> 00:59:08,320
Speaker 1: this way, I'll keep my eyes out for black bears,

1037
00:59:08,680 --> 00:59:11,080
Speaker 1: and if I find where one's hanging out, I'll let

1038
00:59:11,080 --> 00:59:14,800
Speaker 1: you know I appreciate it. That is one thing in

1039
00:59:14,840 --> 00:59:19,520
Speaker 1: the three states we're talking about is there's also grizzly bears. Uh.

1040
00:59:19,640 --> 00:59:21,960
Speaker 1: Where we were last night, you saw the big signs

1041
00:59:21,960 --> 00:59:26,160
Speaker 1: that says say Gosha grizzly bear area. Um, and there

1042
00:59:26,200 --> 00:59:29,880
Speaker 1: definitely are grizzlies in these places. You can go to

1043
00:59:30,040 --> 00:59:34,040
Speaker 1: other parts away from the Greater Yellowstone area that has

1044
00:59:34,120 --> 00:59:39,480
Speaker 1: fewer grizzlies are in northwest Montana. Uh, there's grizzlies there. Um,

1045
00:59:40,320 --> 00:59:44,160
Speaker 1: I don't worry about it that much this time of year. Uh,

1046
00:59:44,560 --> 00:59:51,800
Speaker 1: grizzlies are looking for carcasses. They're still feeding on vegetation also.

1047
00:59:52,040 --> 00:59:56,439
Speaker 1: But there, now that I say this, I'll get eaten

1048
00:59:56,520 --> 01:00:01,760
Speaker 1: by one or something. I hope not. But I've seen

1049
01:00:03,040 --> 01:00:06,160
Speaker 1: black bear hunting. But there they seem to kind of

1050
01:00:06,240 --> 01:00:09,760
Speaker 1: keep to themselves. Um, they're not in that state of

1051
01:00:09,840 --> 01:00:13,960
Speaker 1: hyperphasia like they are in September and October. So they're

1052
01:00:14,600 --> 01:00:18,760
Speaker 1: they're pretty methodical, just lumbering around doing their thing, digging

1053
01:00:18,880 --> 01:00:24,400
Speaker 1: for rodents or eating vegetation or if you find a carcass.

1054
01:00:24,480 --> 01:00:26,880
Speaker 1: If you find a winter kill carcass in grizzly country,

1055
01:00:26,960 --> 01:00:29,120
Speaker 1: there's a good chance that a bear is going to

1056
01:00:29,160 --> 01:00:34,000
Speaker 1: be working that carcass. But don't let that scare you. Uh.

1057
01:00:34,320 --> 01:00:36,960
Speaker 1: There is a reason that I don't call bears in

1058
01:00:37,080 --> 01:00:40,680
Speaker 1: grizzly country. My experience has been when you call for

1059
01:00:40,840 --> 01:00:44,640
Speaker 1: bears and they come, they're coming you you almost have

1060
01:00:44,800 --> 01:00:48,080
Speaker 1: to throw a rock at them to change their mind. Well,

1061
01:00:49,080 --> 01:00:52,680
Speaker 1: if that's a big silver tip grizzly, I don't want

1062
01:00:52,840 --> 01:00:55,840
Speaker 1: that problem, because if I have to shoot it in

1063
01:00:55,880 --> 01:00:59,240
Speaker 1: self defense, I've got a serious problem. Either way, I

1064
01:00:59,360 --> 01:01:04,280
Speaker 1: may not escape without a few scratches and bite marks.

1065
01:01:04,440 --> 01:01:07,400
Speaker 1: So it's there's just all kinds of reasons and problems

1066
01:01:07,640 --> 01:01:11,600
Speaker 1: why I don't call bears in grisly country. Some would say, oh,

1067
01:01:11,680 --> 01:01:15,640
Speaker 1: you're Chicken Newberg, but that's fine. I just don't need

1068
01:01:15,680 --> 01:01:18,040
Speaker 1: the headache that might come with it. And it seems

1069
01:01:18,120 --> 01:01:21,160
Speaker 1: like your current strategy works just fine most of the time,

1070
01:01:21,240 --> 01:01:25,000
Speaker 1: so I don't need to. Yeah, and uh, it would

1071
01:01:25,040 --> 01:01:28,000
Speaker 1: have been fun if if we could have brought one

1072
01:01:28,080 --> 01:01:32,320
Speaker 1: of the what I'll call just serious fanatic bear hunters

1073
01:01:32,440 --> 01:01:36,360
Speaker 1: with us. I I consider myself pretty casual about the

1074
01:01:36,400 --> 01:01:40,360
Speaker 1: bear hunting. I I go and do it, but there

1075
01:01:40,400 --> 01:01:43,240
Speaker 1: are some guys who that's what they live for. There

1076
01:01:44,240 --> 01:01:47,120
Speaker 1: it's it's bear season and then there's the rest of

1077
01:01:47,160 --> 01:01:49,000
Speaker 1: the year. And if we would have had one of

1078
01:01:49,080 --> 01:01:51,560
Speaker 1: those guys with us, you would have you would have

1079
01:01:51,640 --> 01:01:56,000
Speaker 1: seen someone who is really wired differently. You look at

1080
01:01:56,080 --> 01:01:59,240
Speaker 1: him like, man, there's guys he's got something going on

1081
01:01:59,400 --> 01:02:03,560
Speaker 1: with bears. So I just admit up front I've I've

1082
01:02:03,640 --> 01:02:06,520
Speaker 1: shot my you know, share bears, but I'm not I

1083
01:02:06,600 --> 01:02:09,520
Speaker 1: don't consider myself an expert. I just go and do

1084
01:02:09,680 --> 01:02:13,480
Speaker 1: it a lot where I get to observe a few things. Well,

1085
01:02:13,520 --> 01:02:16,360
Speaker 1: it's been really interesting to be able to learn from

1086
01:02:16,400 --> 01:02:18,440
Speaker 1: you and hear how you've been doing things and observe

1087
01:02:18,560 --> 01:02:21,320
Speaker 1: and very helpful. So I'm really glad that my first

1088
01:02:21,360 --> 01:02:23,560
Speaker 1: bear hunt, I was able to tag along and learn

1089
01:02:23,760 --> 01:02:26,880
Speaker 1: versus I priced walking circles on the mountain by myself,

1090
01:02:26,960 --> 01:02:29,520
Speaker 1: and you would have seen as many bears than that

1091
01:02:29,640 --> 01:02:32,800
Speaker 1: as you did with me. I guess that's possible. You

1092
01:02:32,920 --> 01:02:35,240
Speaker 1: got to go in your first bear hikes, not bear

1093
01:02:35,360 --> 01:02:41,280
Speaker 1: hunt this fall. All right, now, briefly, we're going to

1094
01:02:41,400 --> 01:02:44,160
Speaker 1: pause for a weekly segment with our friends at white

1095
01:02:44,200 --> 01:02:47,760
Speaker 1: Tail Properties and producer Spencer new Hearth has a great

1096
01:02:47,880 --> 01:02:50,320
Speaker 1: guest expert today who's going to give us some advice

1097
01:02:50,600 --> 01:02:52,520
Speaker 1: for those who might be in the beginning stages of

1098
01:02:52,640 --> 01:02:55,320
Speaker 1: looking for their own little piece of white tail paradise.

1099
01:02:56,560 --> 01:02:59,120
Speaker 1: This week with white Tail Properties, we have joined my

1100
01:02:59,280 --> 01:03:03,400
Speaker 1: Jeff pro a land specialist out of Northern Missouri and

1101
01:03:03,480 --> 01:03:05,480
Speaker 1: Jeff is going to be telling us about what kinds

1102
01:03:05,520 --> 01:03:07,920
Speaker 1: of questions you should be asking when looking at a

1103
01:03:08,000 --> 01:03:11,760
Speaker 1: new property. Well, there's a lot of questions when it

1104
01:03:11,800 --> 01:03:14,720
Speaker 1: comes to buying a piece of ground, particularly for hunting. UM.

1105
01:03:15,400 --> 01:03:18,560
Speaker 1: One of the most important things, uh, the key components

1106
01:03:18,640 --> 01:03:22,920
Speaker 1: is the neighbors. Uh. It's probably the most asked question

1107
01:03:23,000 --> 01:03:25,800
Speaker 1: I get as an agent that specializes in UH in

1108
01:03:26,000 --> 01:03:30,000
Speaker 1: land is particularly hunting ground. UM. Obviously, if you've got

1109
01:03:30,240 --> 01:03:34,200
Speaker 1: neighbors that aren't like minded, are you know, could be

1110
01:03:34,320 --> 01:03:37,240
Speaker 1: bad neighbors, Uh, it's going to cause some problems for

1111
01:03:37,360 --> 01:03:39,440
Speaker 1: you that I think the key component is to know

1112
01:03:39,840 --> 01:03:41,760
Speaker 1: the neighborhood you're buying in to try to get a

1113
01:03:41,840 --> 01:03:44,320
Speaker 1: good idea of the neighbors and what they're you know,

1114
01:03:44,440 --> 01:03:46,760
Speaker 1: what their goals, their thoughts are in terms of what

1115
01:03:46,840 --> 01:03:50,240
Speaker 1: they're hunting or shooting excuse me. And that is probably

1116
01:03:50,320 --> 01:03:54,080
Speaker 1: one of the key components. UM. Another another question is

1117
01:03:54,360 --> 01:03:56,760
Speaker 1: is you know, does the farm have you know, what

1118
01:03:56,920 --> 01:03:59,400
Speaker 1: kind of income does the farm have? Actually that may

1119
01:03:59,440 --> 01:04:01,880
Speaker 1: be the most portant all too some folks, but you

1120
01:04:01,920 --> 01:04:04,280
Speaker 1: know the income potential on the farm. I mean, is

1121
01:04:04,320 --> 01:04:07,160
Speaker 1: there CRP on the farm? If so, when does that

1122
01:04:07,280 --> 01:04:10,440
Speaker 1: CRP expire and is it you know, when does it

1123
01:04:10,520 --> 01:04:12,720
Speaker 1: run out? Number two? Is it is there is there

1124
01:04:12,720 --> 01:04:14,880
Speaker 1: a tillable agreement on the farm to rent the crop

1125
01:04:15,000 --> 01:04:18,920
Speaker 1: ground out? Uh? You know, and who's the farmer? And

1126
01:04:19,200 --> 01:04:22,080
Speaker 1: is the farmer reputable? Is he does he pay good?

1127
01:04:22,240 --> 01:04:24,320
Speaker 1: Is his his rates good? And you know what does

1128
01:04:24,400 --> 01:04:28,920
Speaker 1: that program consists of? You know, key components to the

1129
01:04:29,000 --> 01:04:32,439
Speaker 1: farm is obviously you want uh to have good cover

1130
01:04:32,600 --> 01:04:35,520
Speaker 1: for betting, for security to hold the deer, and you

1131
01:04:35,600 --> 01:04:38,720
Speaker 1: obviously need food. If you'd like to learn more and

1132
01:04:38,800 --> 01:04:41,840
Speaker 1: to see the properties that Jeff currently has listed for sale,

1133
01:04:42,240 --> 01:04:46,880
Speaker 1: visit white tail properties dot com. Backslash probes that's p

1134
01:04:47,240 --> 01:04:53,240
Speaker 1: r O p ST. So I want to cast switch gears, sure,

1135
01:04:53,400 --> 01:04:55,200
Speaker 1: because the other thing that's been on my mind a

1136
01:04:55,280 --> 01:04:57,760
Speaker 1: lot while we're out here doing these bear hunts was

1137
01:04:58,360 --> 01:05:00,080
Speaker 1: you know, the fact that we were hunting on the

1138
01:05:00,200 --> 01:05:03,320
Speaker 1: clan and of all the people I know, there's a

1139
01:05:03,320 --> 01:05:05,160
Speaker 1: few people I know that are more tapped into what's

1140
01:05:05,160 --> 01:05:07,440
Speaker 1: going on with public land these days than you. Um,

1141
01:05:07,760 --> 01:05:09,920
Speaker 1: You've been a great resource for our audience, you know,

1142
01:05:10,040 --> 01:05:11,720
Speaker 1: coming on the show a couple of times and and

1143
01:05:11,840 --> 01:05:14,800
Speaker 1: talking about kind of introducing our audience to this whole

1144
01:05:14,840 --> 01:05:17,640
Speaker 1: threat of the public land transfer and some of these things.

1145
01:05:17,720 --> 01:05:19,880
Speaker 1: You know, back in two thousands sixteen you talked about that,

1146
01:05:20,080 --> 01:05:22,760
Speaker 1: and I think our audience UM is very well versed

1147
01:05:22,800 --> 01:05:24,440
Speaker 1: on the basics of that now. I talked about a

1148
01:05:24,560 --> 01:05:27,640
Speaker 1: decent bit. It's been something that I've been passionately following

1149
01:05:28,480 --> 01:05:31,360
Speaker 1: myself now for the past few years. But can you

1150
01:05:31,440 --> 01:05:33,720
Speaker 1: bring us up to speed on what's been going on recently?

1151
01:05:33,840 --> 01:05:36,920
Speaker 1: What are the things? You know, we've talked about the

1152
01:05:37,000 --> 01:05:39,960
Speaker 1: whole h R six twenty one deal, um, But I'm

1153
01:05:40,000 --> 01:05:43,400
Speaker 1: kind of curious on your thoughts on you know, since

1154
01:05:43,520 --> 01:05:45,480
Speaker 1: since the election, there's been all sorts of talk of

1155
01:05:45,560 --> 01:05:48,200
Speaker 1: different things. What's what's on your mind now? What are

1156
01:05:48,240 --> 01:05:51,520
Speaker 1: the things that have changed or might be changing, or

1157
01:05:51,600 --> 01:05:53,840
Speaker 1: that we need need to be aware of on this issue. Yeah,

1158
01:05:54,120 --> 01:05:57,320
Speaker 1: and when I was on a year ago, UH, and

1159
01:05:57,480 --> 01:06:00,520
Speaker 1: we talked about the whole transfer the probably glands to

1160
01:06:00,600 --> 01:06:05,520
Speaker 1: the States. I think the level of awareness and understanding

1161
01:06:05,960 --> 01:06:10,400
Speaker 1: of that topic has increased dramatically, not just in the West,

1162
01:06:10,440 --> 01:06:14,200
Speaker 1: throughout the country. And people now realize that the western

1163
01:06:14,360 --> 01:06:18,840
Speaker 1: state landboards are not very hunter and shooter friendly, so

1164
01:06:19,040 --> 01:06:22,240
Speaker 1: transferring these lands to them is a bad idea, and

1165
01:06:22,320 --> 01:06:26,080
Speaker 1: there's been so much pushback on that that you're starting

1166
01:06:26,120 --> 01:06:32,760
Speaker 1: to hear some of these Western congressional delegates walk away

1167
01:06:32,880 --> 01:06:37,120
Speaker 1: from that idea because we have done the hunting community

1168
01:06:37,200 --> 01:06:41,520
Speaker 1: has done a great job of making that political poison.

1169
01:06:42,160 --> 01:06:45,680
Speaker 1: Oh you want to we we have made it obvious

1170
01:06:46,320 --> 01:06:50,360
Speaker 1: that transferring these lands as akin to preparing them to

1171
01:06:50,480 --> 01:06:55,400
Speaker 1: sell them. And that is the reality. Now these people,

1172
01:06:55,520 --> 01:06:59,920
Speaker 1: these elected officials that have had to try to answer

1173
01:07:00,360 --> 01:07:02,560
Speaker 1: some questions of well, what's in the details of that

1174
01:07:03,240 --> 01:07:05,800
Speaker 1: while they stumble and fumble and look like fools. And

1175
01:07:06,480 --> 01:07:10,160
Speaker 1: so I think that phase is starting. They're starting to

1176
01:07:10,480 --> 01:07:15,080
Speaker 1: pivot and say, boy, that's political suicide. Let's let's not

1177
01:07:15,640 --> 01:07:18,080
Speaker 1: let's not talk about selling the lands. We we learned

1178
01:07:18,120 --> 01:07:20,320
Speaker 1: that in the eighties and nineties that if we talk

1179
01:07:20,320 --> 01:07:24,360
Speaker 1: about selling them, we're going to get thumped. Now that

1180
01:07:24,640 --> 01:07:28,600
Speaker 1: that marketing strategy strategy we had about transferring them, we're

1181
01:07:28,640 --> 01:07:31,280
Speaker 1: getting thumped pretty hard on that also. So now it's

1182
01:07:32,000 --> 01:07:37,760
Speaker 1: it's morphing into a more nuanced idea of let's cut

1183
01:07:37,840 --> 01:07:43,400
Speaker 1: agency budgets, let's cut this, let's make let's do let's

1184
01:07:43,480 --> 01:07:47,800
Speaker 1: impair the value of these lands. Let's not fund all

1185
01:07:47,880 --> 01:07:51,640
Speaker 1: of the management actions, Let's not fund all the backlog

1186
01:07:51,800 --> 01:07:56,320
Speaker 1: of repairs and maintenance. Let's not give the agency's money

1187
01:07:56,560 --> 01:08:00,480
Speaker 1: to do their work, so people get frush traded with

1188
01:08:00,600 --> 01:08:04,160
Speaker 1: the agency. Um, you and I were talking about how

1189
01:08:04,240 --> 01:08:08,800
Speaker 1: I need public land film permits. So I've been calling

1190
01:08:09,280 --> 01:08:11,760
Speaker 1: this forest saying I need a film permit to go

1191
01:08:11,880 --> 01:08:14,200
Speaker 1: bear hunting, not where we were hunting, but in a

1192
01:08:14,280 --> 01:08:17,960
Speaker 1: different state. Well, their budgets have been cut so much

1193
01:08:18,560 --> 01:08:21,720
Speaker 1: that where there used to be one permit office, or

1194
01:08:21,920 --> 01:08:25,000
Speaker 1: not just for film permits but all permitting, special events

1195
01:08:25,160 --> 01:08:29,519
Speaker 1: and all kinds of stuff, one one officer per forest,

1196
01:08:29,760 --> 01:08:34,240
Speaker 1: now that person might cover four five districts. And that's

1197
01:08:34,240 --> 01:08:36,519
Speaker 1: an example of well, if we cut their budgets, their

1198
01:08:36,600 --> 01:08:39,439
Speaker 1: ability to do their job is less and less, and

1199
01:08:39,520 --> 01:08:43,200
Speaker 1: people are going to get frustrated. And the more frustrated

1200
01:08:43,320 --> 01:08:47,040
Speaker 1: the masses are, the greater the likelihood of us being

1201
01:08:47,120 --> 01:08:51,719
Speaker 1: able to convince them to sell it, to somehow change

1202
01:08:51,760 --> 01:08:56,080
Speaker 1: ownership to whatever. So you do think that even though

1203
01:08:56,760 --> 01:08:58,839
Speaker 1: they may be pulling back in some of their statements

1204
01:08:58,960 --> 01:09:02,559
Speaker 1: or proposals to a transfer or transfer or a sale,

1205
01:09:03,400 --> 01:09:06,120
Speaker 1: that's still the endgame. But it's they're going to be

1206
01:09:06,160 --> 01:09:09,479
Speaker 1: approaching it by death by million cuts. With all these

1207
01:09:09,520 --> 01:09:12,960
Speaker 1: different budget cuts or whatever might be, they can eventually

1208
01:09:13,080 --> 01:09:15,439
Speaker 1: lead to maybe changing public opinion in some way so

1209
01:09:15,520 --> 01:09:20,599
Speaker 1: they can get away with this and things like, oh, well,

1210
01:09:20,640 --> 01:09:23,240
Speaker 1: we're gonna say, we're given the four Service more money

1211
01:09:23,320 --> 01:09:24,720
Speaker 1: this year, but we're going to give it all to

1212
01:09:24,880 --> 01:09:29,760
Speaker 1: firefighting cost We're gonna cut their their daily work of

1213
01:09:30,800 --> 01:09:35,000
Speaker 1: they're they're logging programs, their road programs, there, whatever program

1214
01:09:35,120 --> 01:09:38,640
Speaker 1: it might be, wildlife programs, conservation programs, watershed programs, we're

1215
01:09:38,640 --> 01:09:40,040
Speaker 1: gonna cut all that. We're going to give them more

1216
01:09:40,080 --> 01:09:43,720
Speaker 1: money and firefighting, and then we can tell everybody, oh,

1217
01:09:43,880 --> 01:09:46,200
Speaker 1: look what we did. We gave the four Service more money. Well,

1218
01:09:47,200 --> 01:09:50,719
Speaker 1: that doesn't do them any good to do the things

1219
01:09:50,880 --> 01:09:57,920
Speaker 1: that require active land management. And there it's it's again

1220
01:09:58,080 --> 01:10:01,400
Speaker 1: part of this strategy of that I think they've hit

1221
01:10:01,479 --> 01:10:03,519
Speaker 1: the reset button. That guess what, We're not going to

1222
01:10:03,560 --> 01:10:07,479
Speaker 1: accomplish this in the next five years. Let's set a

1223
01:10:07,560 --> 01:10:10,880
Speaker 1: goal of accomplishing it in the next twenty years, and

1224
01:10:11,080 --> 01:10:14,519
Speaker 1: we will starve these agencies on the vine. And there's

1225
01:10:14,600 --> 01:10:18,559
Speaker 1: no doubt you ask anybody, there's always places for improvement.

1226
01:10:19,120 --> 01:10:22,360
Speaker 1: But the Four Service, if I remember right, uh, and

1227
01:10:22,439 --> 01:10:25,519
Speaker 1: I might have my numbers wrong, but in relative numbers,

1228
01:10:25,600 --> 01:10:29,200
Speaker 1: it's going to be pretty close. The Four Service had

1229
01:10:30,560 --> 01:10:36,040
Speaker 1: UH back in the nineties, if they had fifty thousand employees,

1230
01:10:36,080 --> 01:10:40,080
Speaker 1: then they're down to thousand employees now. Well yeah, so

1231
01:10:40,160 --> 01:10:44,160
Speaker 1: there's and what they're about half of what they were

1232
01:10:44,200 --> 01:10:48,400
Speaker 1: in the nineties as far as employees, and so the

1233
01:10:48,520 --> 01:10:51,320
Speaker 1: demand on them keeps growing though, Oh, we want you

1234
01:10:51,400 --> 01:10:53,960
Speaker 1: to do this now. Oh guess what, We've gotten invasive

1235
01:10:54,000 --> 01:10:56,120
Speaker 1: weed problem across the West. We want you to take

1236
01:10:56,120 --> 01:10:58,200
Speaker 1: care of the invasive weeds. Oh guess what, We're having

1237
01:10:58,280 --> 01:11:01,320
Speaker 1: more catastrophic wildfires at cross the West. As as we

1238
01:11:01,439 --> 01:11:04,200
Speaker 1: suppress them and suppress them, the ones that pop up

1239
01:11:04,240 --> 01:11:08,080
Speaker 1: get bigger and bigger. So there's all these growing demands

1240
01:11:08,160 --> 01:11:10,439
Speaker 1: on them, and their budgets are getting cut and cut

1241
01:11:10,600 --> 01:11:13,360
Speaker 1: and cut and cut and cut. So I'm all about

1242
01:11:13,439 --> 01:11:17,280
Speaker 1: smaller government, I'm all about efficiency, But you reach a

1243
01:11:17,360 --> 01:11:20,679
Speaker 1: point where you're no longer cutting fat, you're no longer

1244
01:11:20,840 --> 01:11:25,800
Speaker 1: cutting meat, even you're cutting the bone. And a lot

1245
01:11:25,880 --> 01:11:28,160
Speaker 1: of these forests, a lot of the BLM lines, a

1246
01:11:28,200 --> 01:11:31,960
Speaker 1: lot of these federal agencies. It's impractical to think they're

1247
01:11:31,960 --> 01:11:33,360
Speaker 1: going to be able to do all the things we

1248
01:11:33,439 --> 01:11:37,479
Speaker 1: ask them to do. And Congress knows that. Uh, And

1249
01:11:37,640 --> 01:11:41,200
Speaker 1: so here here's kind of the irony of it. In

1250
01:11:41,320 --> 01:11:47,040
Speaker 1: my mind, every frustration that the public has that relates

1251
01:11:47,080 --> 01:11:49,719
Speaker 1: to public land or public land management could be fixed

1252
01:11:49,760 --> 01:11:54,200
Speaker 1: by Congress, every single one of them, whether it's a priority,

1253
01:11:54,439 --> 01:11:58,240
Speaker 1: whether it's a policy, whether it's a budgetary issue, and

1254
01:11:58,400 --> 01:12:01,519
Speaker 1: what do they do the the the greatest critics right

1255
01:12:01,560 --> 01:12:05,880
Speaker 1: now hold the Senate committees that oversee public lens and

1256
01:12:06,000 --> 01:12:09,280
Speaker 1: the House committees that oversee public lens. And there's not

1257
01:12:09,360 --> 01:12:12,479
Speaker 1: a single bill they've introduced to address any of these

1258
01:12:12,920 --> 01:12:18,519
Speaker 1: supposed frustrations. We have none. Zero. They've introduced crazy bills,

1259
01:12:18,640 --> 01:12:23,240
Speaker 1: like on your podcast you talked about Congressman Chavits from

1260
01:12:23,360 --> 01:12:28,720
Speaker 1: Utah had House Bill SI. None of those solve any

1261
01:12:28,760 --> 01:12:32,240
Speaker 1: of the frustrations we're talking about. So are these people

1262
01:12:32,400 --> 01:12:37,080
Speaker 1: serious about better land management? Now that they have all

1263
01:12:37,120 --> 01:12:40,759
Speaker 1: the power and they ignore it and they keep focusing

1264
01:12:40,880 --> 01:12:45,880
Speaker 1: on things that impair the land or go down crazy paths.

1265
01:12:46,320 --> 01:12:48,559
Speaker 1: It's hard for me to believe that they have any

1266
01:12:48,640 --> 01:12:52,280
Speaker 1: intent of better land management. And they still have the

1267
01:12:52,400 --> 01:12:56,360
Speaker 1: intent that someday, somehow we're going to make these lands

1268
01:12:56,479 --> 01:13:00,200
Speaker 1: so impaired, so degraded, that the public won't have any

1269
01:13:00,280 --> 01:13:02,960
Speaker 1: problem getting rid of them. It might take us twenty years,

1270
01:13:03,080 --> 01:13:05,120
Speaker 1: but if that's what it takes, that's what we're gonna do.

1271
01:13:06,600 --> 01:13:09,840
Speaker 1: So these types of things, it's not just even hypothetical, right,

1272
01:13:09,920 --> 01:13:12,640
Speaker 1: these types of cuts, they are happening already, Like, I mean,

1273
01:13:13,920 --> 01:13:17,320
Speaker 1: this is this is happening. How here's what I worry about.

1274
01:13:17,880 --> 01:13:20,200
Speaker 1: And I think it's probably to your point by design

1275
01:13:21,400 --> 01:13:23,720
Speaker 1: that it's harder for the average guy or girl to

1276
01:13:24,120 --> 01:13:26,040
Speaker 1: be able to keep track of all these different things

1277
01:13:26,080 --> 01:13:27,840
Speaker 1: and to know, like how do I make a difference.

1278
01:13:27,840 --> 01:13:31,200
Speaker 1: Because when something came out, it was so easy. It

1279
01:13:31,280 --> 01:13:34,000
Speaker 1: was they want to sell three point three million acres,

1280
01:13:34,120 --> 01:13:36,120
Speaker 1: And that's like a very easy thing to say, WHOA,

1281
01:13:36,200 --> 01:13:39,200
Speaker 1: that doesn't sound good, Rally people around it, and you

1282
01:13:39,240 --> 01:13:40,880
Speaker 1: can make, you know, make a lot of noise and

1283
01:13:40,920 --> 01:13:43,760
Speaker 1: make a difference. It's a lot harder to say, well,

1284
01:13:43,840 --> 01:13:46,760
Speaker 1: there's sixteen different cuts, and there's all these different A

1285
01:13:46,840 --> 01:13:49,559
Speaker 1: little this deregulation here is going to hurt our water,

1286
01:13:49,720 --> 01:13:51,840
Speaker 1: and this is going to hurt whatever. I mean, how

1287
01:13:51,920 --> 01:13:54,639
Speaker 1: do we, as hunters and anglers and sportsmen and women,

1288
01:13:55,360 --> 01:13:57,880
Speaker 1: what do we do with all this? Because it seems

1289
01:13:57,920 --> 01:14:01,600
Speaker 1: really tricky. It is mark and that's that's what's going

1290
01:14:01,640 --> 01:14:06,559
Speaker 1: to make it harder is when it's one big target

1291
01:14:06,960 --> 01:14:10,080
Speaker 1: coming at you, you can dodge that bullet, you know,

1292
01:14:11,280 --> 01:14:16,240
Speaker 1: or you know right now, Congressman Amada from Nevada has

1293
01:14:16,320 --> 01:14:18,960
Speaker 1: this bill introduced. They can't remember the number. I should,

1294
01:14:19,040 --> 01:14:22,600
Speaker 1: but I can't. But it's if you are adjacent to

1295
01:14:22,760 --> 01:14:27,080
Speaker 1: a a piece of public land, we can sell you

1296
01:14:27,479 --> 01:14:30,640
Speaker 1: all any of these parcels under a hundred sixty acres. Well,

1297
01:14:30,680 --> 01:14:32,680
Speaker 1: there's a lot of hundred and sixty acre parcels that

1298
01:14:32,760 --> 01:14:35,920
Speaker 1: control access to ten thousand acres. He's saying, you can.

1299
01:14:36,240 --> 01:14:38,040
Speaker 1: We'll sell the public land to you if you're addressing

1300
01:14:38,080 --> 01:14:42,920
Speaker 1: to it. Yeah, it's it's crazy bill. Um. So ones

1301
01:14:43,000 --> 01:14:47,479
Speaker 1: like that are easy targets. Uh. And you can almost

1302
01:14:47,560 --> 01:14:49,759
Speaker 1: look at all, right, who's behind some of these ideas

1303
01:14:49,880 --> 01:14:54,000
Speaker 1: Like Amada from Nevada, he's you know, he's a stated Uh,

1304
01:14:55,400 --> 01:15:02,000
Speaker 1: he's a chavits rob bishop disciple. So you can kind

1305
01:15:02,000 --> 01:15:04,439
Speaker 1: of look at some of that stuff and say, I

1306
01:15:04,520 --> 01:15:06,840
Speaker 1: don't think they want to change this to the to

1307
01:15:07,000 --> 01:15:11,040
Speaker 1: our benefit. Their history shows that that's not what their

1308
01:15:11,080 --> 01:15:15,599
Speaker 1: goal is. UM. But it does require more vigilance at

1309
01:15:15,640 --> 01:15:18,320
Speaker 1: this point because every one of these changes are going

1310
01:15:18,360 --> 01:15:24,080
Speaker 1: to be more subtle and more nuanced the the I

1311
01:15:24,240 --> 01:15:26,920
Speaker 1: just go back to the position of these public lands

1312
01:15:27,080 --> 01:15:31,920
Speaker 1: are of value, and I continue to impress upon any

1313
01:15:32,400 --> 01:15:36,000
Speaker 1: elected official I talked to these lands are important to me.

1314
01:15:37,200 --> 01:15:40,960
Speaker 1: Don't buy into this foolishness that someone may be pitching

1315
01:15:41,040 --> 01:15:43,800
Speaker 1: you that, oh this is no good or that's no

1316
01:15:43,920 --> 01:15:47,280
Speaker 1: good way, we don't need this or we don't need that. UM.

1317
01:15:47,800 --> 01:15:52,360
Speaker 1: When you have an approach that is so many little cuts,

1318
01:15:52,439 --> 01:15:56,439
Speaker 1: as you call it, if you try to chase every

1319
01:15:56,479 --> 01:16:00,880
Speaker 1: one of those little rabbit trails, you'd wear yourself. At

1320
01:16:00,960 --> 01:16:04,000
Speaker 1: this point, I think it's important for people to contact

1321
01:16:04,120 --> 01:16:09,000
Speaker 1: their elected officials and say these public lands, this is

1322
01:16:09,080 --> 01:16:11,080
Speaker 1: what I use them for. This is how important they are.

1323
01:16:11,280 --> 01:16:14,280
Speaker 1: Any public land issue that comes up, I hope you

1324
01:16:14,320 --> 01:16:17,360
Speaker 1: will consider that I value these public lands. They're a

1325
01:16:17,479 --> 01:16:20,080
Speaker 1: big part of who I am, what I see America

1326
01:16:20,160 --> 01:16:24,640
Speaker 1: to be, and I contact elected elected officials, even if

1327
01:16:24,680 --> 01:16:28,120
Speaker 1: there's not a fire, I want them to be reminded.

1328
01:16:29,439 --> 01:16:31,280
Speaker 1: You know, every couple of weeks, maybe they get an

1329
01:16:31,320 --> 01:16:33,320
Speaker 1: email or a phone call, or if I see them

1330
01:16:33,360 --> 01:16:36,040
Speaker 1: at an event, Hey, you know, just want to make

1331
01:16:36,080 --> 01:16:39,880
Speaker 1: sure you understand that all these public land things, I'm

1332
01:16:39,960 --> 01:16:42,920
Speaker 1: about doing things to improve the value of public lands,

1333
01:16:43,320 --> 01:16:48,559
Speaker 1: not impair the value. Um and again that I always

1334
01:16:48,960 --> 01:16:51,200
Speaker 1: worry that some of these things we ask people to

1335
01:16:51,280 --> 01:16:55,479
Speaker 1: do goes back to you know, high school civics class.

1336
01:16:56,120 --> 01:16:58,760
Speaker 1: But there is some of that to it. Um. If

1337
01:16:58,920 --> 01:17:02,719
Speaker 1: the say it's a congress person from Wisconsin, who really

1338
01:17:03,280 --> 01:17:06,759
Speaker 1: you know, they have northern Wisconsin, they've got some national forest,

1339
01:17:06,840 --> 01:17:09,000
Speaker 1: but they don't have much for BLM land or whatever.

1340
01:17:09,560 --> 01:17:13,880
Speaker 1: If that person is hearing time and again, hey, I'm

1341
01:17:14,000 --> 01:17:16,360
Speaker 1: I've you know, public lands are a priority for me.

1342
01:17:16,520 --> 01:17:19,280
Speaker 1: Public lands are are a priority for me. And they

1343
01:17:19,360 --> 01:17:25,000
Speaker 1: hear that enough time. Even if it's not there, I

1344
01:17:25,120 --> 01:17:29,080
Speaker 1: guess priority issue. When that topic comes up, it's not

1345
01:17:29,680 --> 01:17:33,400
Speaker 1: going to just be rubber stamped according to Oh I'm

1346
01:17:33,479 --> 01:17:39,240
Speaker 1: just gonna, you know, tow the party line. So it's uh,

1347
01:17:39,560 --> 01:17:41,920
Speaker 1: I wish I could tell you that you know, there's

1348
01:17:41,960 --> 01:17:44,439
Speaker 1: this or that, but as a general rule, now it's

1349
01:17:44,439 --> 01:17:46,840
Speaker 1: all about how do we impair these lands, how do

1350
01:17:46,960 --> 01:17:50,720
Speaker 1: we degrade them? How do we cut agency budgets. Let's

1351
01:17:50,760 --> 01:17:55,160
Speaker 1: not fix any of the frustrations. Let's let the frustration continue.

1352
01:17:55,479 --> 01:18:00,200
Speaker 1: Let's let the frustration build. Uh, Let's continue of the

1353
01:18:00,280 --> 01:18:03,160
Speaker 1: attack on quote unquote the fat even though the Fed

1354
01:18:03,320 --> 01:18:07,559
Speaker 1: is Congress is that it's them. Yeah, And I always

1355
01:18:07,600 --> 01:18:10,439
Speaker 1: point that out to him. Make sure whenever a congress

1356
01:18:10,479 --> 01:18:14,280
Speaker 1: person or senator complains about the FEDS, make sure and

1357
01:18:14,360 --> 01:18:18,920
Speaker 1: remind them that they are the fact they are, you know,

1358
01:18:18,960 --> 01:18:21,000
Speaker 1: and they want to say, oh, the bureaucrat this, the

1359
01:18:21,080 --> 01:18:26,200
Speaker 1: bureaucrat that, well, the local BLM range manager or the

1360
01:18:26,280 --> 01:18:29,640
Speaker 1: local force service ranger. He doesn't set the policy, he

1361
01:18:29,720 --> 01:18:33,040
Speaker 1: doesn't set the budget. He this all comes from d C.

1362
01:18:33,360 --> 01:18:36,000
Speaker 1: And in most cases that is a local person, right, Yeah,

1363
01:18:36,000 --> 01:18:40,520
Speaker 1: they're they're the person league or you know, the volunteer

1364
01:18:40,760 --> 01:18:45,280
Speaker 1: at the fire department or whatever. They're just living in

1365
01:18:45,320 --> 01:18:47,800
Speaker 1: the community. They got the marching orders from d C,

1366
01:18:48,720 --> 01:18:54,120
Speaker 1: and d C is counting that we continue to accept

1367
01:18:54,200 --> 01:18:57,439
Speaker 1: the paradigm that they shouldn't be responsible and that it's

1368
01:18:57,479 --> 01:19:02,400
Speaker 1: those damn Feds, it's they. Hope we continue to think

1369
01:19:02,439 --> 01:19:05,720
Speaker 1: that way. I refused to think that way, and I

1370
01:19:06,000 --> 01:19:08,640
Speaker 1: I try to encourage other people that if you have

1371
01:19:08,760 --> 01:19:12,280
Speaker 1: a frustration about your public lands, make sure in contact

1372
01:19:12,360 --> 01:19:14,559
Speaker 1: your congress person or your senator and say what are

1373
01:19:14,600 --> 01:19:17,840
Speaker 1: you doing about this? Yeah, because odds are they're not

1374
01:19:17,960 --> 01:19:22,320
Speaker 1: doing anything about it. It's it's an interesting strategy you

1375
01:19:22,400 --> 01:19:26,880
Speaker 1: mentioned here, because to your point, these people complain or

1376
01:19:27,320 --> 01:19:31,840
Speaker 1: make statements about these issues for which we need to

1377
01:19:32,280 --> 01:19:35,400
Speaker 1: transfer or sell the public because the federal government can't

1378
01:19:35,439 --> 01:19:38,400
Speaker 1: manage it. Button reality, they are the ones inhibiting that

1379
01:19:38,560 --> 01:19:41,320
Speaker 1: management or not allowing the budgets to get there. And

1380
01:19:41,360 --> 01:19:43,760
Speaker 1: I'm curious about another aspect of this, and I think

1381
01:19:43,760 --> 01:19:47,160
Speaker 1: it's some of what you're referring to here. But what

1382
01:19:47,320 --> 01:19:51,720
Speaker 1: we're seeing now in some cases is now deregulation of

1383
01:19:51,800 --> 01:19:54,560
Speaker 1: a lot of things that impact public lands. UM and

1384
01:19:54,720 --> 01:19:58,519
Speaker 1: regulations are such a dirty word and almost always hate

1385
01:19:58,560 --> 01:20:01,680
Speaker 1: regulation or many people talk about you know it's um

1386
01:20:02,520 --> 01:20:05,280
Speaker 1: we're over the regulated death lots of times we talk about.

1387
01:20:05,400 --> 01:20:10,599
Speaker 1: But in these sets of cases, are there some issues

1388
01:20:10,640 --> 01:20:12,640
Speaker 1: of deregulation that are happening that are going to be

1389
01:20:12,720 --> 01:20:16,559
Speaker 1: negatively impacting our public lands and leading towards these goals

1390
01:20:16,600 --> 01:20:19,639
Speaker 1: that some of these people have UM, I mean impacting

1391
01:20:19,760 --> 01:20:24,680
Speaker 1: clean air, clean water, guarantee. Look at the people who

1392
01:20:24,720 --> 01:20:28,920
Speaker 1: are trying to roll back regulations on clean water. I

1393
01:20:29,360 --> 01:20:35,200
Speaker 1: struggled to understand how the world leader, where the cradle

1394
01:20:35,400 --> 01:20:41,880
Speaker 1: of conservation was, This where conservation was born and grew from,

1395
01:20:42,120 --> 01:20:46,200
Speaker 1: is the United States, and we're having discussions about how

1396
01:20:46,280 --> 01:20:51,040
Speaker 1: clean our water should or shouldn't be. I'm trying to

1397
01:20:51,080 --> 01:20:58,800
Speaker 1: figure out what's bad about clean water. You know, I'm

1398
01:20:58,840 --> 01:21:02,360
Speaker 1: not gonna say there aren't instances where maybe some employee

1399
01:21:02,400 --> 01:21:07,519
Speaker 1: of an agency oversteps and doesn't use common sense, but

1400
01:21:08,320 --> 01:21:14,200
Speaker 1: to use those one in a thousand examples for purposes

1401
01:21:14,280 --> 01:21:21,559
Speaker 1: of reducing water quality standards, I just I can't go there.

1402
01:21:22,840 --> 01:21:27,360
Speaker 1: Clean air, clean water, productive lands. That's everything my life

1403
01:21:27,479 --> 01:21:31,640
Speaker 1: is built around is conservation. And anyone who wants to

1404
01:21:31,720 --> 01:21:37,680
Speaker 1: get on these ideological bandwagons of you know, wow, the

1405
01:21:37,760 --> 01:21:40,360
Speaker 1: ep of this blah blah blah. You know what, they're

1406
01:21:40,360 --> 01:21:44,880
Speaker 1: gonna make some mistakes, every agency, every we all are

1407
01:21:44,920 --> 01:21:48,160
Speaker 1: going to make a mistake along the way. But there's

1408
01:21:48,200 --> 01:21:52,320
Speaker 1: a reason the Cuyahoga River isn't on fire today because

1409
01:21:52,360 --> 01:21:56,760
Speaker 1: we have clean water standards. There's a reason that we

1410
01:21:57,000 --> 01:22:03,479
Speaker 1: have the best drinking water, the cleanest water system that

1411
01:22:04,680 --> 01:22:08,000
Speaker 1: that we've known in our lifetimes. Is because of these

1412
01:22:08,080 --> 01:22:12,519
Speaker 1: regulations and because of these agencies, what do we want

1413
01:22:12,560 --> 01:22:16,360
Speaker 1: to do? We want to go back to when whatever

1414
01:22:16,479 --> 01:22:18,599
Speaker 1: it might be. So, so we're we're sitting right here.

1415
01:22:19,880 --> 01:22:22,840
Speaker 1: Ninety miles west of here is the largest super fun

1416
01:22:23,040 --> 01:22:27,839
Speaker 1: site in the world. It's the Berkeley Pit in Mountana.

1417
01:22:28,800 --> 01:22:34,120
Speaker 1: Prior to clean water regulations that killed the entire river

1418
01:22:34,720 --> 01:22:41,680
Speaker 1: from Butte, Montana down to Missoula Clark's or do we

1419
01:22:41,760 --> 01:22:46,800
Speaker 1: want to go back to that? Right Beaute is the

1420
01:22:46,920 --> 01:22:49,840
Speaker 1: largest city I believe in the United States that does

1421
01:22:49,880 --> 01:22:53,080
Speaker 1: not have potable water has to bring their water in

1422
01:22:53,400 --> 01:22:56,800
Speaker 1: over a mountain path? Is that what we want to

1423
01:22:56,840 --> 01:23:01,959
Speaker 1: go back to? So this kind of hawk is it's

1424
01:23:02,680 --> 01:23:05,719
Speaker 1: it just dumbfounds me that that we in the United

1425
01:23:05,760 --> 01:23:10,360
Speaker 1: States are even having that kind of a discussion. And

1426
01:23:10,479 --> 01:23:13,120
Speaker 1: if if anyone listening can tell me why we need

1427
01:23:13,200 --> 01:23:17,680
Speaker 1: dirty your water, I'm I'm always open to differing opinions.

1428
01:23:19,120 --> 01:23:22,080
Speaker 1: And I some of these politicians, I said, well, tell

1429
01:23:22,160 --> 01:23:26,200
Speaker 1: me why we need dirty your water, and they just

1430
01:23:26,320 --> 01:23:31,080
Speaker 1: look at me like, well, uh, you know it comes

1431
01:23:31,120 --> 01:23:33,360
Speaker 1: down to this this these party lines though, right where

1432
01:23:33,400 --> 01:23:35,360
Speaker 1: you like if okay, if I am going to be

1433
01:23:35,400 --> 01:23:39,240
Speaker 1: associated with with this branch or this this party, then

1434
01:23:39,320 --> 01:23:43,320
Speaker 1: I have to agree, always, have to deregulate, always have

1435
01:23:43,439 --> 01:23:47,439
Speaker 1: to prioritize jobs or always and if if I if

1436
01:23:47,479 --> 01:23:50,519
Speaker 1: I disagree with this, you're afraid to say it, or

1437
01:23:50,640 --> 01:23:54,720
Speaker 1: you're afraid you're an apologist for it. How do we

1438
01:23:54,800 --> 01:23:56,479
Speaker 1: break out of that? Because I feel like there's there's

1439
01:23:56,520 --> 01:23:59,400
Speaker 1: so much of that. Yeah, I don't. I don't necessarily

1440
01:23:59,439 --> 01:24:01,360
Speaker 1: have the answer tell you how I've broke out of it.

1441
01:24:01,560 --> 01:24:04,960
Speaker 1: I am not an apologist for anybody. Uh. The only

1442
01:24:05,040 --> 01:24:07,880
Speaker 1: thing I'm an apologist for is clean air, clean water,

1443
01:24:07,960 --> 01:24:13,320
Speaker 1: productive lands, public lands, wild places, and wildlife the rest

1444
01:24:13,360 --> 01:24:16,120
Speaker 1: of it. You know what, if you're against that stuff,

1445
01:24:16,120 --> 01:24:18,200
Speaker 1: I'm not making any apologies for it, even if I

1446
01:24:18,320 --> 01:24:21,280
Speaker 1: voted for you. There's a lot of times I vote

1447
01:24:21,320 --> 01:24:24,200
Speaker 1: for somebody and then they come up with a dumb idea.

1448
01:24:25,560 --> 01:24:28,960
Speaker 1: If anybody can help sway them to the point of

1449
01:24:29,080 --> 01:24:32,200
Speaker 1: common sense and give them, give them some confidence that, hey,

1450
01:24:32,280 --> 01:24:34,280
Speaker 1: if I bucked the system, I'm not going to lose

1451
01:24:34,400 --> 01:24:37,360
Speaker 1: my position. It's those of us who voted for him.

1452
01:24:37,960 --> 01:24:42,439
Speaker 1: I I think we as a city, as a group collective, Uh,

1453
01:24:43,720 --> 01:24:48,840
Speaker 1: the country have fallen into this apologistic mindset that, oh,

1454
01:24:48,880 --> 01:24:51,280
Speaker 1: if I voted for the person, I can't criticize them.

1455
01:24:51,280 --> 01:24:57,160
Speaker 1: I gotta defend them. Yeah No, not me. And and

1456
01:24:57,520 --> 01:25:00,200
Speaker 1: I think in some respects if we would fly because

1457
01:25:00,240 --> 01:25:03,960
Speaker 1: our muscle to say, hey, we're gonna push back when

1458
01:25:04,040 --> 01:25:06,479
Speaker 1: you tow the party liner you come up with some

1459
01:25:06,640 --> 01:25:11,320
Speaker 1: crazy idea, then they would be more inclined to one

1460
01:25:11,479 --> 01:25:13,479
Speaker 1: listen to us, but realize, you know what, I can

1461
01:25:13,640 --> 01:25:16,000
Speaker 1: buck the system, and I'm going to have some support

1462
01:25:16,080 --> 01:25:19,680
Speaker 1: out there. Uh. This whole rollback of everything as it

1463
01:25:19,760 --> 01:25:22,439
Speaker 1: relates to clean air and clean water, it is a

1464
01:25:22,520 --> 01:25:25,040
Speaker 1: hard one for me to understand. And I'm a pretty

1465
01:25:25,080 --> 01:25:28,800
Speaker 1: conservative guy, but I thought the United States aspired to

1466
01:25:28,880 --> 01:25:32,680
Speaker 1: have cleaner air and cleaner water. And none of the

1467
01:25:32,760 --> 01:25:37,200
Speaker 1: people who I you know, I get the fortune or

1468
01:25:37,320 --> 01:25:40,760
Speaker 1: misfortune whatever you wanna call it of being involved in

1469
01:25:40,800 --> 01:25:43,479
Speaker 1: a lot of conference calls and other discussions of stuff

1470
01:25:43,520 --> 01:25:46,320
Speaker 1: that's going on in d C. And none of the

1471
01:25:46,400 --> 01:25:50,040
Speaker 1: people behind the ideas that we need to get rid

1472
01:25:50,080 --> 01:25:53,880
Speaker 1: of cleaner air and cleaner water, none of them have

1473
01:25:54,080 --> 01:25:56,560
Speaker 1: given me their reasons, how their or their ideas of

1474
01:25:56,600 --> 01:25:59,200
Speaker 1: how they're gonna make our air cleaner or our water cleaner.

1475
01:26:00,080 --> 01:26:01,800
Speaker 1: I don't. I don't think they're trying to change all

1476
01:26:01,840 --> 01:26:07,559
Speaker 1: this to make our air and water cleaner. If they are,

1477
01:26:08,560 --> 01:26:12,519
Speaker 1: their track record doesn't demonstrate them. And if there's anything

1478
01:26:12,680 --> 01:26:16,320
Speaker 1: more basic to our life necessities of clean air and

1479
01:26:16,400 --> 01:26:20,040
Speaker 1: clean water, I think we probably take it for granted.

1480
01:26:20,120 --> 01:26:21,920
Speaker 1: And this is where you know I'm kind of an

1481
01:26:21,960 --> 01:26:27,320
Speaker 1: old kajer. I'm fifty two year twenty nine. I remember

1482
01:26:27,439 --> 01:26:30,960
Speaker 1: before unleaded gasoline, you would go to a large city

1483
01:26:31,040 --> 01:26:34,519
Speaker 1: and every city had smog, even a city of fifty

1484
01:26:34,560 --> 01:26:39,559
Speaker 1: thou people had smog. Well, I remember the Rainy River

1485
01:26:39,680 --> 01:26:43,120
Speaker 1: where I grew up in northern Minnesota. You didn't eat

1486
01:26:43,160 --> 01:26:45,559
Speaker 1: the walleyes out of Rainy River because of the paper

1487
01:26:45,640 --> 01:26:49,000
Speaker 1: mill upstream and International Falls in Fort Francis. There were

1488
01:26:49,120 --> 01:26:54,439
Speaker 1: warnings do not eat these fish right below there. Why

1489
01:26:54,880 --> 01:26:57,920
Speaker 1: because And it's not like at that time people said,

1490
01:26:57,960 --> 01:27:00,240
Speaker 1: oh I want to pollute the river. Some of it was.

1491
01:27:00,360 --> 01:27:02,599
Speaker 1: We just didn't know what effect it was having at

1492
01:27:02,640 --> 01:27:07,200
Speaker 1: that time. But now through regulation, through change, through better

1493
01:27:07,360 --> 01:27:12,400
Speaker 1: ideas that that's just an example. Water quality has improved,

1494
01:27:13,040 --> 01:27:15,959
Speaker 1: the fishing has improved, that so many things have improved

1495
01:27:16,000 --> 01:27:18,680
Speaker 1: as a result of it is that really where we

1496
01:27:18,760 --> 01:27:21,559
Speaker 1: want to go back to. But Randy, if you're talking

1497
01:27:21,640 --> 01:27:26,240
Speaker 1: about the environment and stopping pollution and clean air, you're

1498
01:27:26,600 --> 01:27:29,320
Speaker 1: you're a far left wing nut. You know, if that's

1499
01:27:29,360 --> 01:27:31,200
Speaker 1: what people want to call me, I don't really care.

1500
01:27:31,720 --> 01:27:34,000
Speaker 1: I mean, I'm not. I I own more guns than

1501
01:27:34,040 --> 01:27:36,080
Speaker 1: any far left wing nut. I know if you come

1502
01:27:36,120 --> 01:27:38,479
Speaker 1: to my house, I'm sure a t F would be like, Man,

1503
01:27:38,600 --> 01:27:42,240
Speaker 1: we what this guy? This guy kind of preparing for

1504
01:27:42,439 --> 01:27:46,040
Speaker 1: armageddon here? What? But it's fremely frustrating though if you

1505
01:27:46,400 --> 01:27:48,479
Speaker 1: to sometimes if you say that you care about these things,

1506
01:27:48,560 --> 01:27:52,439
Speaker 1: like why can't hunter, angler, firearm owner also care about

1507
01:27:52,520 --> 01:27:55,760
Speaker 1: these things? It's it's necessary to what we love to do.

1508
01:27:56,000 --> 01:27:59,360
Speaker 1: That's a great question mark. I almost say, how could

1509
01:27:59,400 --> 01:28:02,760
Speaker 1: they not about it? You know? It's so critical to

1510
01:28:02,880 --> 01:28:07,000
Speaker 1: the things we love. And I do worry that in

1511
01:28:07,160 --> 01:28:10,040
Speaker 1: my community that I identify with the most and where

1512
01:28:10,080 --> 01:28:14,280
Speaker 1: my most my platforms are mostly heard, is the hunting world.

1513
01:28:15,280 --> 01:28:17,880
Speaker 1: I worry that the hunting world isn't going to stand

1514
01:28:18,000 --> 01:28:22,360
Speaker 1: up and be counted. This is this is our time,

1515
01:28:22,479 --> 01:28:26,080
Speaker 1: this is If we don't stand up, we we are

1516
01:28:26,360 --> 01:28:31,120
Speaker 1: We want to take credit for being the the original conservationists,

1517
01:28:31,200 --> 01:28:36,800
Speaker 1: going back even before uh uh Roosevelt. We go back

1518
01:28:36,880 --> 01:28:40,640
Speaker 1: to Grennelle, we go back to Marsh, We we go

1519
01:28:40,800 --> 01:28:45,439
Speaker 1: back to you know, way way back Audubon. All of

1520
01:28:45,520 --> 01:28:48,720
Speaker 1: those people were hunters and they were the ones who

1521
01:28:48,840 --> 01:28:51,519
Speaker 1: started planning the seeds of conservation. And we want to

1522
01:28:51,640 --> 01:28:55,400
Speaker 1: make that we want to claim that mantle today. How

1523
01:28:55,520 --> 01:28:58,120
Speaker 1: can you claim that I am the carrier of the

1524
01:28:58,240 --> 01:29:01,880
Speaker 1: torch of conservation? But I'm going stand silent when we

1525
01:29:02,040 --> 01:29:04,680
Speaker 1: decide we're going to have cleaner or dirty or air

1526
01:29:04,760 --> 01:29:08,840
Speaker 1: and dirty or water. Tell me how you can reconcile

1527
01:29:09,000 --> 01:29:13,599
Speaker 1: that I can't. And where's our credibility when outsiders look

1528
01:29:13,640 --> 01:29:16,240
Speaker 1: at that and we try to try to care that mantle,

1529
01:29:16,680 --> 01:29:18,400
Speaker 1: and we try to use that as something, and we,

1530
01:29:18,800 --> 01:29:22,800
Speaker 1: because of peer pressure, whatever it is, ideological pressure, we

1531
01:29:22,960 --> 01:29:25,920
Speaker 1: become apologist for those people who want to make our

1532
01:29:26,040 --> 01:29:30,120
Speaker 1: water dirtier or our air dirtier. We we run a risk,

1533
01:29:30,240 --> 01:29:33,680
Speaker 1: I think the hunting community, in the fishing community, we

1534
01:29:33,960 --> 01:29:37,000
Speaker 1: run a risk of losing our credibility and our claim

1535
01:29:37,120 --> 01:29:41,639
Speaker 1: to the mantle of conservation if we stand silent when

1536
01:29:41,680 --> 01:29:46,360
Speaker 1: this stuff goes on. And this isn't just important for

1537
01:29:46,720 --> 01:29:50,640
Speaker 1: the integrity of the resource, but also I think for

1538
01:29:50,840 --> 01:29:54,040
Speaker 1: the future of the right to do what we're doing,

1539
01:29:54,080 --> 01:29:56,960
Speaker 1: because I think the big part of how we communicate

1540
01:29:57,040 --> 01:29:59,759
Speaker 1: to the non hunting public about why hunting is relevant

1541
01:29:59,800 --> 01:30:03,040
Speaker 1: and valuable still today is because of our role as conservationists.

1542
01:30:03,360 --> 01:30:04,600
Speaker 1: And if they look at that and say, okay, you

1543
01:30:04,720 --> 01:30:07,840
Speaker 1: clean to be conservationist, and then they see at well,

1544
01:30:08,000 --> 01:30:10,240
Speaker 1: you only care about the three animals you want to shoot.

1545
01:30:10,680 --> 01:30:12,479
Speaker 1: You don't care about the clean air, you don't care

1546
01:30:12,479 --> 01:30:14,519
Speaker 1: about the clean water. You're not concerned about's bigger that.

1547
01:30:14,640 --> 01:30:15,720
Speaker 1: You just want your gun and you want to be

1548
01:30:15,720 --> 01:30:17,920
Speaker 1: able to shoot. Dear, then I don't think we don't

1549
01:30:17,920 --> 01:30:20,280
Speaker 1: have a whole lot to stay. The rest of society

1550
01:30:20,439 --> 01:30:22,600
Speaker 1: is way more perceptive than that, and we're going to

1551
01:30:22,680 --> 01:30:27,960
Speaker 1: look like hypocrites. We yeah, yeah, I know that might

1552
01:30:28,040 --> 01:30:31,720
Speaker 1: be uncomfortable for some people to have to come to

1553
01:30:31,800 --> 01:30:34,680
Speaker 1: that conclusion, but the time is now to say, am

1554
01:30:34,760 --> 01:30:39,640
Speaker 1: I a conservationist or am I a hypocrite? Am I

1555
01:30:39,760 --> 01:30:45,000
Speaker 1: going to roll up my tent because someone I voted

1556
01:30:45,120 --> 01:30:52,600
Speaker 1: for is I don't want the discomfort of my you know,

1557
01:30:52,840 --> 01:30:55,679
Speaker 1: one of my coworkers or somebody else given me grief

1558
01:30:55,720 --> 01:30:59,280
Speaker 1: because I've yeah, I voted for the same guy. But man,

1559
01:30:59,400 --> 01:31:03,120
Speaker 1: if I stand up and speak on behalf of clean

1560
01:31:03,240 --> 01:31:08,000
Speaker 1: air or productive lands or whatever it is, I'm gonna

1561
01:31:08,040 --> 01:31:12,479
Speaker 1: get grief about it. Well, if that's all the h

1562
01:31:12,920 --> 01:31:17,120
Speaker 1: if that's enough to sway you from speaking up, then

1563
01:31:17,560 --> 01:31:21,320
Speaker 1: the question becomes, are you really committed to conservation? I mean,

1564
01:31:21,439 --> 01:31:25,000
Speaker 1: Roosevelt said it, the wildlife and its habitat cannot speak

1565
01:31:25,439 --> 01:31:29,760
Speaker 1: for itself. We must, and therefore we will. I mean

1566
01:31:29,800 --> 01:31:32,000
Speaker 1: that was a hundred and twenty years ago that he

1567
01:31:32,080 --> 01:31:35,639
Speaker 1: said that, or d fifteen years ago, just as true today.

1568
01:31:36,160 --> 01:31:40,880
Speaker 1: It's absolutely true. And I've been recently, I've been in

1569
01:31:41,000 --> 01:31:44,519
Speaker 1: my speaking presentations and some YouTube clips were working on

1570
01:31:47,880 --> 01:31:50,000
Speaker 1: and I've told you this story the other day about

1571
01:31:50,160 --> 01:31:53,240
Speaker 1: where you were camped that was going to be a reservoir,

1572
01:31:54,840 --> 01:32:00,080
Speaker 1: and blows my mind. I'm working on this series of

1573
01:32:00,200 --> 01:32:05,880
Speaker 1: stories about how conservation has never been easy, it's never

1574
01:32:06,040 --> 01:32:10,960
Speaker 1: been convenient, and it's never been comfortable. And if we

1575
01:32:11,160 --> 01:32:15,559
Speaker 1: think now we can just bail out whenever it gets hard,

1576
01:32:16,400 --> 01:32:19,479
Speaker 1: or we can walk away because it's not a convenient time,

1577
01:32:20,800 --> 01:32:24,080
Speaker 1: or you know what, that's a pretty uncomfortable discussion. To have,

1578
01:32:24,200 --> 01:32:26,920
Speaker 1: so I'm just going to ignore it. If we do that,

1579
01:32:27,200 --> 01:32:30,840
Speaker 1: we are going to lose our credibility as the leaders

1580
01:32:30,920 --> 01:32:34,200
Speaker 1: of conservation. It's gonna be damaging for us in the

1581
01:32:34,280 --> 01:32:37,160
Speaker 1: hunting and angling community, and it's going to be really

1582
01:32:37,280 --> 01:32:40,320
Speaker 1: damaging for the landscapes and the wild creatures that depend

1583
01:32:40,400 --> 01:32:44,960
Speaker 1: on it. It's just the way it is. Even if

1584
01:32:45,000 --> 01:32:49,360
Speaker 1: you even if you don't care about this like ideologically

1585
01:32:49,600 --> 01:32:52,439
Speaker 1: just as a prime minist, like just thinking about the

1586
01:32:53,160 --> 01:32:56,520
Speaker 1: just purely if you want to focus on your individual

1587
01:32:57,240 --> 01:32:59,920
Speaker 1: future ability to do the things you like to do,

1588
01:33:00,040 --> 01:33:03,600
Speaker 1: even if you aren't super passionate about these things, but

1589
01:33:03,720 --> 01:33:05,040
Speaker 1: you just want to. I still want to be able

1590
01:33:05,040 --> 01:33:08,280
Speaker 1: to film my freezer. It just makes sense that we

1591
01:33:08,400 --> 01:33:10,720
Speaker 1: need to be caring about these things and doing something

1592
01:33:10,760 --> 01:33:13,519
Speaker 1: about these things. And to your point, and we've both

1593
01:33:13,600 --> 01:33:16,639
Speaker 1: experienced you to a much larger degree, I'm sure than myself,

1594
01:33:16,720 --> 01:33:19,639
Speaker 1: but we've we face blowback for things we talked about

1595
01:33:19,680 --> 01:33:22,479
Speaker 1: that's uncomfortable or outside of the party line or whatever

1596
01:33:22,520 --> 01:33:25,680
Speaker 1: it might be. And I think to your point, we

1597
01:33:25,800 --> 01:33:30,200
Speaker 1: have to be confident in our beliefs and uh willing

1598
01:33:30,240 --> 01:33:33,840
Speaker 1: to stand up for these things. And you know it's

1599
01:33:33,880 --> 01:33:36,519
Speaker 1: not always me rainbows and butterflies and big box and

1600
01:33:36,600 --> 01:33:41,920
Speaker 1: bulls um. I mean, I spoke out pretty loud on

1601
01:33:42,040 --> 01:33:44,360
Speaker 1: some of these things in the last week, and my

1602
01:33:44,560 --> 01:33:48,719
Speaker 1: emails and private messages and Facebook messages have been pretty pointed.

1603
01:33:49,560 --> 01:33:53,680
Speaker 1: But that implies that I'm worried about the blowback. I

1604
01:33:53,800 --> 01:33:57,439
Speaker 1: am not. I'm fifty two. I don't know if I've

1605
01:33:57,479 --> 01:34:00,960
Speaker 1: got one day, one year, one decade, or thirty years

1606
01:34:01,120 --> 01:34:05,400
Speaker 1: left on this planet. But whatever it is, I'm not

1607
01:34:05,520 --> 01:34:12,000
Speaker 1: gonna take a leave of absence about making the landscapes better,

1608
01:34:12,240 --> 01:34:17,280
Speaker 1: more productive for my kids, my my hopefully grandkids, or

1609
01:34:17,360 --> 01:34:23,360
Speaker 1: the next generations. I'm just not. And if that come that,

1610
01:34:23,560 --> 01:34:26,799
Speaker 1: it comes with risks, for sure, it comes with pressures.

1611
01:34:26,840 --> 01:34:30,479
Speaker 1: It comes from those days when you know someone you

1612
01:34:30,600 --> 01:34:33,120
Speaker 1: appreciate it, you've had a friendship with cause you up

1613
01:34:33,160 --> 01:34:36,800
Speaker 1: and says new Burgh, you off your rock. Yeah maybe

1614
01:34:36,880 --> 01:34:41,320
Speaker 1: I am. But guess what, I'm not standing here letting

1615
01:34:42,880 --> 01:34:46,840
Speaker 1: a political tide roll back everything that the hunters and

1616
01:34:46,960 --> 01:34:49,479
Speaker 1: anglers before me I fought for for the last hundred

1617
01:34:49,479 --> 01:34:53,920
Speaker 1: and fifty years. I'm not. And if that causes a

1618
01:34:54,040 --> 01:34:57,120
Speaker 1: wrinkle in our friendship, I guess maybe we didn't have

1619
01:34:57,200 --> 01:35:01,400
Speaker 1: as good a friendship as I thought. Yeah, it's just

1620
01:35:02,000 --> 01:35:04,680
Speaker 1: for me, you know, someone who has platforms like you do.

1621
01:35:06,160 --> 01:35:10,280
Speaker 1: I think it's more incumbent than ever on us to

1622
01:35:10,479 --> 01:35:14,800
Speaker 1: provide some voice in leadership to these causes, because if

1623
01:35:14,920 --> 01:35:18,400
Speaker 1: we fold up the tent, we've we've been granted these privileges,

1624
01:35:18,520 --> 01:35:25,439
Speaker 1: these amazing lives of being spokespeople for these causes. And

1625
01:35:26,400 --> 01:35:28,600
Speaker 1: if I decide, oh it's a little too tough of

1626
01:35:28,680 --> 01:35:32,000
Speaker 1: sledding here, I think I'm gonna just bail out for

1627
01:35:32,120 --> 01:35:36,040
Speaker 1: a couple of years. Well guess what, Randy, you shouldn't

1628
01:35:36,040 --> 01:35:40,280
Speaker 1: have these platforms. Then that's that. That's my thought on it. Yeah, No,

1629
01:35:40,400 --> 01:35:44,000
Speaker 1: I think you're absolutely right. So and I think to

1630
01:35:44,160 --> 01:35:45,880
Speaker 1: all this what we've just been talking about here. You know,

1631
01:35:46,040 --> 01:35:50,280
Speaker 1: we start our conversation with public land, so the thrust

1632
01:35:50,360 --> 01:35:53,040
Speaker 1: public land, but some of these things we're talking about

1633
01:35:53,040 --> 01:35:55,720
Speaker 1: more recently, this applies to whether you hunt public land

1634
01:35:55,760 --> 01:35:57,760
Speaker 1: out west or you hunt the thirty acres behind your

1635
01:35:57,800 --> 01:36:00,400
Speaker 1: house in New York. Um. I mean this is a

1636
01:36:01,120 --> 01:36:06,799
Speaker 1: nationwide issue. This impact all of our hunting, fishing, hiking, camping, breathing,

1637
01:36:07,320 --> 01:36:10,800
Speaker 1: no matter where you live. Um. So I think that

1638
01:36:10,920 --> 01:36:15,000
Speaker 1: this is one of those very clearly core issues to

1639
01:36:15,200 --> 01:36:21,120
Speaker 1: all of us. That is, Um, it's unfortunate sometimes that we, uh,

1640
01:36:21,640 --> 01:36:23,320
Speaker 1: I don't know, because we don't want to be associated

1641
01:36:23,320 --> 01:36:26,479
Speaker 1: with a different group, or because we're uncomfortable with the

1642
01:36:26,560 --> 01:36:29,519
Speaker 1: same people that talk about this and march on this.

1643
01:36:29,840 --> 01:36:32,679
Speaker 1: They're different than me. But you know what, we actually

1644
01:36:32,720 --> 01:36:34,400
Speaker 1: do care about some of the same things too, and

1645
01:36:35,160 --> 01:36:37,000
Speaker 1: we can look past some of these differences because in

1646
01:36:37,080 --> 01:36:39,680
Speaker 1: the end, we need a couple of core things here

1647
01:36:39,720 --> 01:36:42,320
Speaker 1: that we all care about. There's there's a bumper sticker

1648
01:36:42,360 --> 01:36:44,639
Speaker 1: in Montana and I'm going to get it a little

1649
01:36:44,680 --> 01:36:49,160
Speaker 1: bit uh ah off when I say it, but it's

1650
01:36:49,240 --> 01:36:54,679
Speaker 1: something of gay hippie laggers for Jesus, and it's it's

1651
01:36:54,760 --> 01:36:58,080
Speaker 1: kind of the subtitle is I don't care who you are.

1652
01:36:59,040 --> 01:37:04,519
Speaker 1: You know, open minds and in different perspectives are helpful. Uh.

1653
01:37:05,200 --> 01:37:07,560
Speaker 1: And whenever I see that bumper sticker, I kind of

1654
01:37:07,680 --> 01:37:12,360
Speaker 1: chuckle because coming from a logging family, I kind of

1655
01:37:12,520 --> 01:37:15,760
Speaker 1: think about you know that that that covers the whole

1656
01:37:15,840 --> 01:37:20,479
Speaker 1: spectrum right there. Um. But it it's usually and it

1657
01:37:20,600 --> 01:37:23,720
Speaker 1: usually has some little subtitles around it. But when you

1658
01:37:23,800 --> 01:37:27,680
Speaker 1: were talking about how no matter who you associate with

1659
01:37:27,920 --> 01:37:29,880
Speaker 1: or where you come from as your own kind of

1660
01:37:29,960 --> 01:37:34,040
Speaker 1: personal beliefs on these topics. We we we got to

1661
01:37:34,080 --> 01:37:37,240
Speaker 1: get to the point where we can say, yeah, we

1662
01:37:37,360 --> 01:37:40,800
Speaker 1: disagree on some things, but on this topic, I don't

1663
01:37:40,840 --> 01:37:45,519
Speaker 1: care what your opinion is on topic see on topic

1664
01:37:45,600 --> 01:37:49,280
Speaker 1: A if if you're for uh, you know, conservation and

1665
01:37:49,760 --> 01:37:55,000
Speaker 1: healthy landscapes and and water and clean air, We'll sort

1666
01:37:55,040 --> 01:37:57,200
Speaker 1: out the differences on other stuff at a different time.

1667
01:37:57,520 --> 01:38:01,240
Speaker 1: I'm not going to run scared and hide because someone's

1668
01:38:01,240 --> 01:38:04,040
Speaker 1: gonna say, oh, I saw you at a meeting and

1669
01:38:04,200 --> 01:38:06,760
Speaker 1: you were talking to so and so. Yeah, I guess

1670
01:38:06,800 --> 01:38:09,760
Speaker 1: what so and so is concerned about productive lands just

1671
01:38:09,880 --> 01:38:13,519
Speaker 1: like I am. It's we're in that weird time where it's,

1672
01:38:13,880 --> 01:38:18,080
Speaker 1: you know, people want to find ways to move everyone

1673
01:38:18,240 --> 01:38:21,960
Speaker 1: over to their own little corner. It's who can build

1674
01:38:22,040 --> 01:38:25,639
Speaker 1: the biggest army in a little corner, rather than let's

1675
01:38:25,680 --> 01:38:29,240
Speaker 1: build big armies, big coalitions in the middle for the

1676
01:38:29,320 --> 01:38:33,759
Speaker 1: important things. And it's easy, it's easy to completely filter

1677
01:38:33,920 --> 01:38:36,719
Speaker 1: your whole world into these little things, like I only

1678
01:38:36,960 --> 01:38:40,200
Speaker 1: get news from this little, tiny viewpoint, and my whole

1679
01:38:40,320 --> 01:38:43,519
Speaker 1: social media feed is just people think exactly what I

1680
01:38:43,640 --> 01:38:45,960
Speaker 1: do and it's really easy to get stuck in these

1681
01:38:46,000 --> 01:38:49,360
Speaker 1: little corners. Um, maybe even you're completely unaware of it.

1682
01:38:50,240 --> 01:38:52,000
Speaker 1: But to your point, like last night, we were talking

1683
01:38:52,040 --> 01:38:54,720
Speaker 1: about this, and we're talking about you know, some of

1684
01:38:54,720 --> 01:38:58,200
Speaker 1: the things you've learned over your years, um, and just

1685
01:38:58,360 --> 01:39:01,639
Speaker 1: the importance of always trying to be open to those

1686
01:39:01,680 --> 01:39:08,120
Speaker 1: different perspectives and getting information from all arenas, and trying

1687
01:39:08,200 --> 01:39:11,679
Speaker 1: to look at things objectively, from different ways of looking

1688
01:39:11,720 --> 01:39:15,479
Speaker 1: at things. I think it's increasingly rare today but ever

1689
01:39:15,560 --> 01:39:18,760
Speaker 1: more important to do that because it's so easy to

1690
01:39:18,920 --> 01:39:22,559
Speaker 1: get just Yeah, I don't want to live in an

1691
01:39:22,640 --> 01:39:25,439
Speaker 1: echo chamber where everybody says the same thing I say.

1692
01:39:26,160 --> 01:39:31,280
Speaker 1: And as we were talking last night, I engage with people.

1693
01:39:32,280 --> 01:39:37,120
Speaker 1: But if if this person sent out an email to

1694
01:39:37,360 --> 01:39:41,559
Speaker 1: a hundred people in the outdoor world, every person would

1695
01:39:41,640 --> 01:39:46,040
Speaker 1: delete that email. Request me. I'll email them back and say,

1696
01:39:46,680 --> 01:39:50,080
Speaker 1: what's up, Let's let's have a discussion. Let's have some dialogue.

1697
01:39:50,720 --> 01:39:54,040
Speaker 1: Even though I know I disagree with them on of

1698
01:39:54,080 --> 01:39:58,400
Speaker 1: the issues, I want to hear their perspectives and I

1699
01:39:58,560 --> 01:40:01,840
Speaker 1: want them to understand the perspectives of the community I

1700
01:40:01,960 --> 01:40:07,560
Speaker 1: come from. Whereas there there's risk in that. Uh, sometimes

1701
01:40:08,040 --> 01:40:10,880
Speaker 1: you know the people will say, I can't believe you're

1702
01:40:10,880 --> 01:40:13,960
Speaker 1: talking to that person, Why, why would you give any

1703
01:40:14,080 --> 01:40:16,600
Speaker 1: feedback to that group, or blah blah blah, whatever it is.

1704
01:40:17,320 --> 01:40:20,080
Speaker 1: But I'm one of those guys who I want as

1705
01:40:20,240 --> 01:40:25,479
Speaker 1: many perspectives as I possibly can find. And I've still

1706
01:40:25,560 --> 01:40:29,560
Speaker 1: got my values, my principles, my why you know, my

1707
01:40:29,800 --> 01:40:32,560
Speaker 1: my life is driven by my why why do I

1708
01:40:32,680 --> 01:40:34,680
Speaker 1: do this? Why am I here? Why? Why am I

1709
01:40:35,800 --> 01:40:38,840
Speaker 1: spending my time on things that's never going to change.

1710
01:40:39,720 --> 01:40:41,960
Speaker 1: But it doesn't mean that if I listen to somebody

1711
01:40:42,000 --> 01:40:45,720
Speaker 1: who has a different, different perspective, that I agree with them.

1712
01:40:47,000 --> 01:40:49,960
Speaker 1: It means that I'm trying to learn more. I'm trying

1713
01:40:50,040 --> 01:40:54,880
Speaker 1: to understand. And it's I think we've we've gone so

1714
01:40:55,080 --> 01:40:58,040
Speaker 1: far away from that that everybody is afraid to engage

1715
01:40:58,120 --> 01:41:01,400
Speaker 1: and interact with those of different ring opinions. I'm not.

1716
01:41:01,720 --> 01:41:06,280
Speaker 1: I I enjoy it. I you know, I can accept

1717
01:41:06,320 --> 01:41:08,360
Speaker 1: it to day. You know other I'm never going to

1718
01:41:08,400 --> 01:41:11,479
Speaker 1: agree with this person on most things, but on that

1719
01:41:11,600 --> 01:41:15,679
Speaker 1: thing that they might add a point. I'm also interested

1720
01:41:16,560 --> 01:41:20,920
Speaker 1: how people outside of our community of hunters and anglers

1721
01:41:21,120 --> 01:41:23,720
Speaker 1: view us as hunters and hunters. In English That's a

1722
01:41:23,840 --> 01:41:25,960
Speaker 1: big part of why I engage with some of these

1723
01:41:26,040 --> 01:41:29,640
Speaker 1: groups is how is the rest of society seeing us?

1724
01:41:29,840 --> 01:41:34,160
Speaker 1: Because we see ourselves through a lens that if you

1725
01:41:34,240 --> 01:41:37,479
Speaker 1: grow up hunting and fishing, you are different. You are

1726
01:41:37,560 --> 01:41:40,120
Speaker 1: never going to see the world the way people do

1727
01:41:40,400 --> 01:41:43,559
Speaker 1: who don't hunt and fish and are connected to those

1728
01:41:43,680 --> 01:41:45,880
Speaker 1: landscapes and hold them to a priority that we do.

1729
01:41:46,880 --> 01:41:49,719
Speaker 1: So except the fact that we are different, we see

1730
01:41:49,800 --> 01:41:54,160
Speaker 1: the world differently. But we are only five to ten

1731
01:41:54,840 --> 01:41:58,519
Speaker 1: of the of the world or of our country. So

1732
01:41:58,640 --> 01:42:01,160
Speaker 1: if you want to understand on how we're going to

1733
01:42:01,280 --> 01:42:03,599
Speaker 1: have a future when we're that small of a minority,

1734
01:42:03,720 --> 01:42:06,599
Speaker 1: you need to be listening and reaching out to figure

1735
01:42:06,640 --> 01:42:09,280
Speaker 1: out how do the rest of our society see us?

1736
01:42:10,479 --> 01:42:13,120
Speaker 1: At least it's it's helpful to me, and and I

1737
01:42:13,240 --> 01:42:16,160
Speaker 1: try to try to do that and know that there's

1738
01:42:16,200 --> 01:42:18,200
Speaker 1: gonna be risks and I'm going to take some lumps

1739
01:42:18,240 --> 01:42:21,120
Speaker 1: along the way for doing it, but oh well, yeah,

1740
01:42:21,800 --> 01:42:25,639
Speaker 1: But to your point, it's just inherently necessary for the future.

1741
01:42:26,360 --> 01:42:29,320
Speaker 1: If we don't if we don't pay attention to that

1742
01:42:30,200 --> 01:42:36,439
Speaker 1: and nurture that and be thoughtful about that perception, um,

1743
01:42:37,520 --> 01:42:40,360
Speaker 1: we don't have a future. No, we we don't, uh

1744
01:42:41,080 --> 01:42:44,960
Speaker 1: Chaane Mahoney the Elk Foundation, and you probably saw it

1745
01:42:45,040 --> 01:42:49,200
Speaker 1: on your feeds. He did this piece called relevance. How

1746
01:42:49,320 --> 01:42:52,240
Speaker 1: do we stay relevant when hunters are five percent of

1747
01:42:52,320 --> 01:42:55,759
Speaker 1: the population And anyone who hasn't seen that, I'd suggest

1748
01:42:55,840 --> 01:42:58,640
Speaker 1: that they go and read it. It's or listen to it.

1749
01:42:58,760 --> 01:43:01,000
Speaker 1: It's what is it for me? That thing that we

1750
01:43:01,160 --> 01:43:05,720
Speaker 1: usually posted I embedded on Wired Hunting Blood should go

1751
01:43:05,720 --> 01:43:08,000
Speaker 1: out to Wired and hunt and and see that and

1752
01:43:08,760 --> 01:43:11,519
Speaker 1: and just think about the fact that hey, we're five

1753
01:43:12,880 --> 01:43:18,840
Speaker 1: we in in our country five percent. Five does not

1754
01:43:19,000 --> 01:43:23,240
Speaker 1: control the future. You fit within that in some way,

1755
01:43:23,320 --> 01:43:26,840
Speaker 1: shape or form based on how the other accepts you

1756
01:43:27,320 --> 01:43:30,640
Speaker 1: or views you. Know. So, how do we keep our

1757
01:43:30,720 --> 01:43:33,880
Speaker 1: relevance because right now we're very relevant, our our history,

1758
01:43:35,040 --> 01:43:39,400
Speaker 1: our accomplishments, what we do for wildlife and conservation is

1759
01:43:40,200 --> 01:43:44,560
Speaker 1: more than then what the other does per capita, and

1760
01:43:44,680 --> 01:43:47,840
Speaker 1: maybe collect maybe more than what they do collectively. I

1761
01:43:47,960 --> 01:43:51,599
Speaker 1: got to stay true to that communicate that we need

1762
01:43:51,720 --> 01:43:57,880
Speaker 1: to not step outside of that um terrific heritage that

1763
01:43:57,960 --> 01:44:01,080
Speaker 1: we have and start doing some stupid things that knock

1764
01:44:01,240 --> 01:44:04,200
Speaker 1: down all the tremendous achievements of our our forefathers and

1765
01:44:04,240 --> 01:44:08,679
Speaker 1: the conservations and hunters and naglers before us, And there's

1766
01:44:08,680 --> 01:44:11,240
Speaker 1: a whole lot of pitfalls there. Yeah, we were not

1767
01:44:11,240 --> 01:44:14,320
Speaker 1: gonna we don't need to get into every different but man,

1768
01:44:14,400 --> 01:44:17,600
Speaker 1: I mean there's just and I probably talked about this

1769
01:44:17,680 --> 01:44:19,160
Speaker 1: too much on the podcast. The probably sick of me

1770
01:44:19,200 --> 01:44:21,840
Speaker 1: talking about it. For all this stuff, it's just it's

1771
01:44:21,880 --> 01:44:23,559
Speaker 1: important if we want to be able to talk about

1772
01:44:23,600 --> 01:44:25,120
Speaker 1: bear hunts, if we want to be able to talk

1773
01:44:25,160 --> 01:44:28,240
Speaker 1: about strategies for chasing elk, if we want to talk

1774
01:44:28,280 --> 01:44:30,320
Speaker 1: about the best way to hang a trail camera to

1775
01:44:30,680 --> 01:44:32,960
Speaker 1: you know, pattern of mature white tail buck, we need

1776
01:44:33,040 --> 01:44:34,720
Speaker 1: to be having these conversations and we need to be

1777
01:44:34,760 --> 01:44:37,280
Speaker 1: caring about these things. Yeah, I just think about in

1778
01:44:37,439 --> 01:44:40,519
Speaker 1: my lifetime. I grew up in northern Minnesota, the nearest

1779
01:44:41,240 --> 01:44:44,840
Speaker 1: big community to us with Duluth, Minnesota. St. Louis River

1780
01:44:44,920 --> 01:44:49,280
Speaker 1: dumps into Lake Superior in the Deluse Superior, Wisconsin area,

1781
01:44:50,160 --> 01:44:54,680
Speaker 1: And when I was growing up, nobody ever thought of

1782
01:44:54,800 --> 01:44:59,040
Speaker 1: fishing where the St. Louis River dumps into Lake Superior.

1783
01:44:59,640 --> 01:45:03,760
Speaker 1: And there there it was the start of so many

1784
01:45:03,880 --> 01:45:07,360
Speaker 1: invasive non native species in the Great Lakes. The Great

1785
01:45:07,439 --> 01:45:12,000
Speaker 1: Lakes had become. I think when the Cuyahoga River started

1786
01:45:12,080 --> 01:45:15,840
Speaker 1: on fire in Cleveland in nineteen sixty seven, I was

1787
01:45:15,920 --> 01:45:20,520
Speaker 1: three years old. They kind of rows our collective awareness

1788
01:45:20,680 --> 01:45:25,160
Speaker 1: about a lot of things. But even you know, growing

1789
01:45:25,280 --> 01:45:29,479
Speaker 1: up there and seeing how the Great Lakes were looked

1790
01:45:29,520 --> 01:45:32,360
Speaker 1: at as a little bit of a dumping ground, uh,

1791
01:45:32,800 --> 01:45:36,799
Speaker 1: you know, taken for granted. And what thirty years, forty

1792
01:45:36,920 --> 01:45:45,080
Speaker 1: years of hard effort, collective sacrifice prioritizing cleaning up the

1793
01:45:45,160 --> 01:45:49,800
Speaker 1: Great Lakes. I wonder if people now take for granted that.

1794
01:45:50,200 --> 01:45:52,400
Speaker 1: I look at how many tens of millions of people

1795
01:45:52,479 --> 01:45:56,599
Speaker 1: live within close proximity to the Great Lakes. I wonder

1796
01:45:56,680 --> 01:45:59,960
Speaker 1: how many of them really think back of how bad

1797
01:46:00,000 --> 01:46:02,200
Speaker 1: at it could be and how much work it took

1798
01:46:02,280 --> 01:46:07,960
Speaker 1: to get here. Are are we gonna stand and do

1799
01:46:08,120 --> 01:46:10,519
Speaker 1: what it takes to keep it that way? Or are

1800
01:46:10,560 --> 01:46:12,679
Speaker 1: we going to let the hand the time roll back?

1801
01:46:12,720 --> 01:46:15,280
Speaker 1: Are we going to put it in reverse? And to me,

1802
01:46:15,400 --> 01:46:19,840
Speaker 1: the Great Lakes are great picture for anyone listening to

1803
01:46:20,040 --> 01:46:23,160
Speaker 1: just think about or going You can do some quick

1804
01:46:23,200 --> 01:46:27,479
Speaker 1: research on it and you'll see there's no environment, no

1805
01:46:27,640 --> 01:46:31,200
Speaker 1: ecosystem that has been probably as abused as the Great

1806
01:46:31,280 --> 01:46:36,600
Speaker 1: Lakes or has shown such remarkable response and change to

1807
01:46:37,840 --> 01:46:42,000
Speaker 1: smart policy, hard work and just making it a priority

1808
01:46:42,160 --> 01:46:47,880
Speaker 1: to clean it up. And one final point on all

1809
01:46:47,960 --> 01:46:51,479
Speaker 1: this that you know, we talked about some of the

1810
01:46:52,280 --> 01:46:54,960
Speaker 1: ideas and proposals to roll back some of these things,

1811
01:46:56,120 --> 01:47:00,439
Speaker 1: and lots of times. The justification for that is that

1812
01:47:00,560 --> 01:47:02,840
Speaker 1: we need to increase job growth, we need to make

1813
01:47:02,880 --> 01:47:06,639
Speaker 1: it easier for businesses, etcetera, etcetera. I think it's very

1814
01:47:06,760 --> 01:47:12,720
Speaker 1: clear as our community is doing better job quantifying the

1815
01:47:12,840 --> 01:47:16,919
Speaker 1: job and economic impact that outdoor recreation and wild productive

1816
01:47:17,000 --> 01:47:20,679
Speaker 1: landscapes have. I think it's very clear that protecting these places,

1817
01:47:21,320 --> 01:47:25,439
Speaker 1: managing these places properly, it is good for jobs, it

1818
01:47:25,640 --> 01:47:27,800
Speaker 1: is good for economic growth. I'm going to get the

1819
01:47:27,880 --> 01:47:30,639
Speaker 1: number wrong, but a new economic report was just released

1820
01:47:30,680 --> 01:47:33,639
Speaker 1: recently from taking a look at the outdoor recreation economy,

1821
01:47:33,960 --> 01:47:35,920
Speaker 1: and maybe you know the number, but eight d seventy

1822
01:47:35,960 --> 01:47:38,960
Speaker 1: six billion dollars sounds like what I remember seeing something

1823
01:47:39,040 --> 01:47:42,280
Speaker 1: like that. It was almost nine hundred billion dollars. It

1824
01:47:42,439 --> 01:47:47,639
Speaker 1: is a tremendous, tremendous driver of economic growth of jobs

1825
01:47:47,720 --> 01:47:51,840
Speaker 1: within across the country, whether it be specifically public lands

1826
01:47:52,040 --> 01:47:57,280
Speaker 1: or recreation, fishing, fishing, hunting, hiking. I mean, it's a

1827
01:47:57,320 --> 01:48:00,519
Speaker 1: tremendous job grower, grower in rural communities where some of

1828
01:48:00,600 --> 01:48:03,640
Speaker 1: the traditional um jobs are starting to change with the

1829
01:48:03,720 --> 01:48:06,080
Speaker 1: way the world's changing. This is this is a future.

1830
01:48:06,520 --> 01:48:09,360
Speaker 1: This is something that works now. It's going to grow

1831
01:48:09,520 --> 01:48:13,559
Speaker 1: jobs and grow the accounting in the future. And by

1832
01:48:13,600 --> 01:48:16,200
Speaker 1: the way, it also is what allows us to enjoy

1833
01:48:16,280 --> 01:48:21,080
Speaker 1: this way of life. And what's more sustainable than outdoor

1834
01:48:21,280 --> 01:48:28,600
Speaker 1: related jobs. It's it's predicated on good, healthy environments, landscapes

1835
01:48:28,680 --> 01:48:32,800
Speaker 1: that are productive for the things we love, and people

1836
01:48:32,840 --> 01:48:35,680
Speaker 1: make a living doing it. Last I checked, that was

1837
01:48:35,960 --> 01:48:40,080
Speaker 1: as close to the best solution policy experts could get to.

1838
01:48:41,160 --> 01:48:45,640
Speaker 1: So why are we thinking about doing things that compromise

1839
01:48:45,760 --> 01:48:50,200
Speaker 1: that for the sake of this little job and every

1840
01:48:50,360 --> 01:48:53,160
Speaker 1: job if it's your job, it's not this little job,

1841
01:48:53,280 --> 01:48:57,040
Speaker 1: I mean, I get it. I've seen mills, clothes, I've

1842
01:48:57,120 --> 01:49:02,920
Speaker 1: seen the mechanization display sloggers, UM, so that when it's

1843
01:49:02,960 --> 01:49:05,960
Speaker 1: your job, it is important. But collectively we have to

1844
01:49:06,040 --> 01:49:09,519
Speaker 1: look at that and say, all right, how how do

1845
01:49:09,640 --> 01:49:15,000
Speaker 1: we make a true assessment about this that doesn't discount

1846
01:49:15,240 --> 01:49:18,479
Speaker 1: all of the outdoor benefits, all the recreation, all the

1847
01:49:19,439 --> 01:49:22,360
Speaker 1: jobs that you just mentioned and that part of the economy.

1848
01:49:22,880 --> 01:49:25,960
Speaker 1: Because the other sides do really good jobs, do a

1849
01:49:26,080 --> 01:49:30,880
Speaker 1: really good job of converting their activity to dollars and cents.

1850
01:49:31,160 --> 01:49:33,679
Speaker 1: We've never been that good at it. We've always relied

1851
01:49:33,760 --> 01:49:36,759
Speaker 1: on the oh, it's for this, that's cultural at social,

1852
01:49:36,840 --> 01:49:39,559
Speaker 1: and it's all that. But what we're finding is, if

1853
01:49:39,600 --> 01:49:44,120
Speaker 1: you want to talk numbers and jobs and economics, are

1854
01:49:44,600 --> 01:49:48,200
Speaker 1: are things that we love. We can stand toe to

1855
01:49:48,280 --> 01:49:53,080
Speaker 1: toe and have an equally compelling economic argument as well

1856
01:49:53,160 --> 01:49:57,280
Speaker 1: as all these other things we talked about. And to

1857
01:49:57,520 --> 01:50:01,360
Speaker 1: something you said earlier, this caring about these types of things,

1858
01:50:01,439 --> 01:50:03,639
Speaker 1: standing up for these types of things. It's never been convenient,

1859
01:50:03,720 --> 01:50:06,240
Speaker 1: it's never been popular, it's never been easy, And I

1860
01:50:06,320 --> 01:50:09,040
Speaker 1: think it's kind of encouraging. Um as I've like thought

1861
01:50:09,080 --> 01:50:11,920
Speaker 1: about these things and and uh, you know, struggled with

1862
01:50:12,080 --> 01:50:13,479
Speaker 1: what should I do or how do I do this?

1863
01:50:13,680 --> 01:50:16,120
Speaker 1: Or how's this going to play? Or you know, am

1864
01:50:16,120 --> 01:50:17,600
Speaker 1: I risking the future of what I want to do?

1865
01:50:17,880 --> 01:50:20,479
Speaker 1: And I look back at people like Teddy Roosevelt or

1866
01:50:21,160 --> 01:50:25,200
Speaker 1: you know, George Burgernell, or Ela Leopold or Bob Marshall.

1867
01:50:25,200 --> 01:50:27,519
Speaker 1: Are all these different people that made a significant impact

1868
01:50:27,800 --> 01:50:31,439
Speaker 1: on whether it be just the future of productive landscapes

1869
01:50:31,520 --> 01:50:34,840
Speaker 1: or public lands or whatever it might be. In every

1870
01:50:34,920 --> 01:50:37,800
Speaker 1: single instance, as I've been studying the history of this,

1871
01:50:38,840 --> 01:50:43,439
Speaker 1: there's been tremendous, tremendous controversy. There's been tremendous blowback. There,

1872
01:50:43,520 --> 01:50:48,960
Speaker 1: wildly unpopular, there's people calling them all sorts of crazy things. Um.

1873
01:50:50,520 --> 01:50:52,839
Speaker 1: In the short term, you're gonna get that. But history

1874
01:50:52,960 --> 01:50:57,479
Speaker 1: is the ultimate judge. And I think as as as

1875
01:50:57,640 --> 01:51:01,000
Speaker 1: Roosevelt said, you know, these things need to be preserved

1876
01:51:01,120 --> 01:51:04,519
Speaker 1: for you know, not just those today, but in the

1877
01:51:04,560 --> 01:51:08,360
Speaker 1: womb of time fraternity. And I think if you're focus

1878
01:51:08,479 --> 01:51:10,599
Speaker 1: on the long term, if you're focused on the future

1879
01:51:10,640 --> 01:51:12,719
Speaker 1: of these things, if you keep that as like a compass,

1880
01:51:12,840 --> 01:51:17,200
Speaker 1: a compassy point towards and if that's part of your why, um,

1881
01:51:17,479 --> 01:51:19,479
Speaker 1: then I think it's okay to take your lump sometimes

1882
01:51:19,560 --> 01:51:23,880
Speaker 1: and maybe step outside of the lines of what you're

1883
01:51:24,479 --> 01:51:27,519
Speaker 1: buddies think you should be doing, or your political party

1884
01:51:28,320 --> 01:51:34,639
Speaker 1: or your community. UM. I agree. Mark in the history

1885
01:51:34,760 --> 01:51:38,280
Speaker 1: shows that. So Roosevelt, and he's always the good example

1886
01:51:38,360 --> 01:51:41,840
Speaker 1: one because we study him in history. But he got

1887
01:51:41,920 --> 01:51:43,880
Speaker 1: thrown out of his own party. He had to go

1888
01:51:44,040 --> 01:51:48,439
Speaker 1: start another party. But of all of his critics at

1889
01:51:48,479 --> 01:51:50,439
Speaker 1: the time, how many of them are on the face

1890
01:51:50,479 --> 01:51:53,760
Speaker 1: of Mount Rushmore. How many have history judge worthy of

1891
01:51:53,920 --> 01:51:57,360
Speaker 1: being one of the four people that represent American ideas

1892
01:51:58,040 --> 01:52:02,240
Speaker 1: to such an extent that they're on Mount Rushmore. None

1893
01:52:02,320 --> 01:52:06,600
Speaker 1: of his critics, you can't even and no one. You

1894
01:52:06,600 --> 01:52:09,200
Speaker 1: would have to google it to find a name of

1895
01:52:09,360 --> 01:52:14,600
Speaker 1: one of his critics that is of memory. Yeah. So

1896
01:52:15,439 --> 01:52:18,880
Speaker 1: he Yeah, he was president, so he had the big,

1897
01:52:19,360 --> 01:52:22,400
Speaker 1: big pulpit. But the point of that is it wasn't

1898
01:52:22,400 --> 01:52:26,720
Speaker 1: easy for him. He got thrown out, he got ostracized.

1899
01:52:26,760 --> 01:52:30,200
Speaker 1: He he was looked at as the wild wing, not

1900
01:52:30,680 --> 01:52:34,720
Speaker 1: that western cowboy dude from the Dakotas and Montana. He's

1901
01:52:34,760 --> 01:52:38,520
Speaker 1: got these crazy ideas about hunting and fishing and conservation.

1902
01:52:39,520 --> 01:52:41,080
Speaker 1: We need to get rid of him, and they did.

1903
01:52:42,040 --> 01:52:45,160
Speaker 1: But history has judged him as having a much clearer

1904
01:52:45,280 --> 01:52:50,840
Speaker 1: vision than his critics. So that always gives me a

1905
01:52:51,880 --> 01:52:54,599
Speaker 1: comfort because I go through those days like everybody where

1906
01:52:54,600 --> 01:52:57,920
Speaker 1: it's like, oh man, I know, am I out in

1907
01:52:57,960 --> 01:52:59,760
Speaker 1: the weeds and I'm really getting a lot of heat

1908
01:52:59,880 --> 01:53:06,120
Speaker 1: or this? But so did other people. Yeah, just comes

1909
01:53:06,160 --> 01:53:08,960
Speaker 1: with territory. Stand in line, take a number. There you go.

1910
01:53:10,560 --> 01:53:12,000
Speaker 1: I think this is a I think this is a

1911
01:53:12,040 --> 01:53:15,599
Speaker 1: good place to wrap it up. So Randy both, Now

1912
01:53:15,880 --> 01:53:17,840
Speaker 1: you've given me another couple of hours of your time,

1913
01:53:17,960 --> 01:53:20,200
Speaker 1: and you've given me hours and hours on the mountain.

1914
01:53:21,000 --> 01:53:23,679
Speaker 1: I can't thank you enough. It has been a privilege

1915
01:53:23,680 --> 01:53:26,160
Speaker 1: and honor to go bear hunting with you, to you know,

1916
01:53:26,320 --> 01:53:28,840
Speaker 1: just have conversations like this with you. Um. You know,

1917
01:53:28,920 --> 01:53:30,760
Speaker 1: like I said last night when we were driving back

1918
01:53:30,760 --> 01:53:35,960
Speaker 1: from the hunt, um, you are a tremendous role model

1919
01:53:36,240 --> 01:53:39,519
Speaker 1: for young hunters and anglers and conservations to look at

1920
01:53:39,600 --> 01:53:41,200
Speaker 1: someone like you who is willing to stand up and

1921
01:53:41,280 --> 01:53:44,040
Speaker 1: speak out in these things. And uh, and I respect

1922
01:53:44,120 --> 01:53:47,640
Speaker 1: that tremendously and I appreciate that. And uh, I'm very

1923
01:53:47,680 --> 01:53:49,640
Speaker 1: glad there's people like you for people like me to

1924
01:53:49,760 --> 01:53:52,479
Speaker 1: learn from. Well, thank you, Mark. I appreciate all that,

1925
01:53:52,640 --> 01:53:55,920
Speaker 1: and I appreciate what you are doing there. And I

1926
01:53:56,080 --> 01:53:59,200
Speaker 1: told you this last night. There's cadre of and you

1927
01:53:59,600 --> 01:54:02,240
Speaker 1: can do yourself when you say it. Hey, there's this

1928
01:54:02,360 --> 01:54:06,200
Speaker 1: cadre of younger thinkers in the conservation and public land

1929
01:54:06,280 --> 01:54:09,759
Speaker 1: hunting fishing world that I'm give me such great comfort

1930
01:54:09,920 --> 01:54:12,760
Speaker 1: that Hey, we're going to be on the right path.

1931
01:54:12,840 --> 01:54:16,200
Speaker 1: And you and your listeners and your followers, I I

1932
01:54:16,360 --> 01:54:20,679
Speaker 1: don't think that. Maybe maybe I'm wrong, but I hope

1933
01:54:20,720 --> 01:54:22,920
Speaker 1: they understand. Maybe that's what I should say. I hope

1934
01:54:22,960 --> 01:54:27,519
Speaker 1: your listeners understand what an impact they're having, because I

1935
01:54:27,680 --> 01:54:29,639
Speaker 1: have seen just in the last two or three years,

1936
01:54:30,800 --> 01:54:36,160
Speaker 1: the needle is riding the the pivot point has come,

1937
01:54:36,320 --> 01:54:38,840
Speaker 1: and it's because of people like you. You're advocause he

1938
01:54:39,000 --> 01:54:43,240
Speaker 1: your your listeners, your group of people that are making

1939
01:54:43,280 --> 01:54:47,080
Speaker 1: a huge difference. And you know, if I can give

1940
01:54:47,120 --> 01:54:49,840
Speaker 1: a couple hours of my time telling bus stories to that,

1941
01:54:50,520 --> 01:54:53,960
Speaker 1: thanks for having me. It works out pretty well all

1942
01:54:53,960 --> 01:54:58,040
Speaker 1: the way around. So how about next time we talk, um,

1943
01:54:58,880 --> 01:55:00,400
Speaker 1: we'll be talking about a white tailed for a fact

1944
01:55:00,440 --> 01:55:02,720
Speaker 1: that maybe there we go. Let's do it all right,

1945
01:55:04,240 --> 01:55:07,839
Speaker 1: and there you go. Another episode is in the books

1946
01:55:08,040 --> 01:55:10,520
Speaker 1: and some really important topics to keep in mind. There,

1947
01:55:10,520 --> 01:55:13,320
Speaker 1: I think, and I hope you guys found this to

1948
01:55:13,360 --> 01:55:16,000
Speaker 1: be as inspiring and motivating as I have. You know,

1949
01:55:16,360 --> 01:55:19,800
Speaker 1: you guys and gals, the Wired hunt community, you and me.

1950
01:55:20,440 --> 01:55:23,720
Speaker 1: Let's all keep on grinding together to protect our hunting

1951
01:55:23,760 --> 01:55:27,120
Speaker 1: heritage and our wild lands and our wild life, because

1952
01:55:27,520 --> 01:55:31,680
Speaker 1: if we don't do it, who will. All that said,

1953
01:55:32,160 --> 01:55:35,480
Speaker 1: before we go big Thanks to our partners at Sick Gear,

1954
01:55:35,600 --> 01:55:39,440
Speaker 1: Yetie Cooler's, Matthew's Archery, May Haven Optics, Whitetail Institute of

1955
01:55:39,520 --> 01:55:43,120
Speaker 1: North America, Trophy Ridge and hunt Terra Maps, and thank

1956
01:55:43,440 --> 01:55:47,160
Speaker 1: you for listening. I appreciate and value each and every

1957
01:55:47,200 --> 01:55:49,080
Speaker 1: one of you. You guys are an amazing group of

1958
01:55:49,120 --> 01:55:51,720
Speaker 1: outdoorsmen and women, and I hope you have enjoyed a

1959
01:55:51,800 --> 01:56:00,800
Speaker 1: great spring weekend and I hope you'll stay wired to hunting.

1960
01:56:01,320 --> 01:56:03,080
Speaker 1: Got both the best to be that