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Speaker 1: Smell us now, lady, Welcome to Meat Eater Trivia Podcast.

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Speaker 2: Happy New Year's everyone, and welcome to Radio Live. I'm

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Speaker 2: your host, Brody Henderson, and I'm joined by Corey Calkins

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Speaker 2: Ryan Callahan. Today we're not actually live, we're actually pre

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Speaker 2: recording before Meat Eater HQ shuts down for the holidays.

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Speaker 2: But we still got a great New Year's Day show

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Speaker 2: for you guys, even the poor suckers who stayed up

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Speaker 2: late last night and they're nursing a hangover. Hopefully you're

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Speaker 2: not one of those people, but I imagine there's a

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Speaker 2: few of you out there.

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Speaker 1: Is that canna be one of you?

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Speaker 3: Cal Corey m not with kids anymore. Yeah, I'm going

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Speaker 3: to at an eight pm.

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Speaker 2: There you go, There you go, avoid amateur night.

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Speaker 1: Yeah, you get all my fun in uh early. Yeah,

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Speaker 1: and it seems to really wrap up within like a

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Speaker 1: beer and a half. Anyway, that's smart, that's smart.

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Speaker 4: Uh.

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Speaker 2: Today, we're going to talk to our friend Jake Loretzki

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Speaker 2: about all Lovetski.

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Speaker 5: Phil.

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Speaker 2: Jake right next to Phil, and I'm just reading. That's

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Speaker 2: the problem with just reading a script. Sorry, Phil, doctor Phil.

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Speaker 1: Three times.

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Speaker 2: We're going to talk to that Phil guy not our Phil,

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Speaker 2: about all those funny looking, uh color faced turkeys getting

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Speaker 2: shot out there these days. We've also got a very

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Speaker 2: special in house interview with Cow about why and the

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Speaker 2: hell he decided to leave me here to go get

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Speaker 2: a real job. No one really knows. I welcome, and

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Speaker 2: for our crew segments, we're gonna look back on our

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Speaker 2: favorite hunts of the year, and then we're gonna look

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Speaker 2: forward with some New Year's resolutions, you guys. New Year's

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Speaker 2: resolution guys.

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Speaker 6: Semi, I like to think about it, but then it

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Speaker 6: rarely follows.

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Speaker 2: I'm gonna force you into at least saying something to Lastly,

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Speaker 2: since we can't chat with you guys in real time,

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Speaker 2: we're just gonna go over some questions and comments that

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Speaker 2: have come up in emails in previous episodes, so we're

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Speaker 2: still looking out for the fans out there before we

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Speaker 2: get onto all that Happy holidays fellas. I'm looking forward

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Speaker 2: to the break as I'm sure you guys are. I

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Speaker 2: got about one hundred pounds of meat that I need

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Speaker 2: to grind and the burger and sausage, so that's a

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Speaker 2: big project. And Cal and I were just talking, I'm

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Speaker 2: gonna I'm gonna try and get out with the dog

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Speaker 2: for pheasants and maybe get the wife out for a

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Speaker 2: late season cow elk.

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Speaker 1: So yeah, that's like over the whole break kind of goal.

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Speaker 2: Yeah, you know the boys want to get after well

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Speaker 2: one of them does, the one already shot a late

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Speaker 2: season do so the other one has to do what

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Speaker 2: his older brother did, so we might try that too.

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Speaker 2: What do you guys got going on?

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Speaker 1: Yeah, meat management is high on my mind because I

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Speaker 1: really want to go hunt with this muzzleoder.

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Speaker 2: The timing is, no, you've only got two three days

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Speaker 2: left of the season, right.

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Speaker 1: Right, yeah, just just this weekend. But like I would

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Speaker 1: really like to get some ducks in the freezer yep,

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Speaker 1: now that they're finally around.

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Speaker 2: Yeah peez.

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Speaker 1: Yeah, And just that dog work is so freaking amazing.

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Speaker 1: I love that. But I am I have I do

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Speaker 1: like in my chest freezer, I do a game bag storage.

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Speaker 1: So like this game bag is a whole parted out

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Speaker 1: and back sealed nice elk shoulder. This one's like the

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Speaker 1: nice cuts and that's what I have left of my

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Speaker 1: elk from last year? Is it just a little bit

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Speaker 1: of front shoulder and some neck meat for slow cooking stuff?

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Speaker 2: And then.

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Speaker 1: The kind of really just the loins, which is kind

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Speaker 1: of crazy and trying to like I I'm gonna be

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Speaker 1: cutting it close, but it would be like a good

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Speaker 1: full freezer turnover situation if I don't kill a deer

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Speaker 1: and you'll.

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Speaker 2: Be starting with fresh after you through this.

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Speaker 1: Pretty darn fresh, yeah, because you got you know, mostly

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Speaker 1: two and a half antelope in there, and that that

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Speaker 1: were this year, and uh and then yeah the turkeys

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Speaker 1: and and pheasants.

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Speaker 2: But that puts some pressure on you too, not having

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Speaker 2: that backup meat from the prior year, you know.

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Speaker 1: I know, I know. And then I think I'll need

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Speaker 1: to commit to grinding some some stuff.

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Speaker 2: Yeah, how about how about you, Cory?

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Speaker 6: Yeah, grinding between my bowl and a really old white

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Speaker 6: tail buck that I shot this year.

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Speaker 3: I'm going to grind all of him.

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Speaker 2: Up, stinky, old, ruddy tough ass buck.

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Speaker 6: Yeah, very funny color on him, like real pink instead

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Speaker 6: of dark red like I'm used to.

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Speaker 2: Really yeah.

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Speaker 6: Uh, just found out I shot him here close to

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Speaker 6: Bozeman in town, hundreds of other deer around it was

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Speaker 6: worried about c w D had them tested and just

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Speaker 6: found out that it was negative.

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Speaker 3: So I'm excited. I was probably gonna eat him anyway, honestly, But.

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Speaker 2: Yeah, I mean, I'm sure we've all eaten it at

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Speaker 2: this point.

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Speaker 6: Yeah, that's the thing, and we're all still sitting here.

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Speaker 6: But yeah, I got a lot of grinding to do.

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Speaker 6: And although your.

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Speaker 2: Face looks funny, is that that's not like CWD.

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Speaker 1: This is tough for Corey because what do we talk

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Speaker 1: about it?

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Speaker 2: Because we've recorded here, because we recorded the live show

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Speaker 2: that aired on the eighteenth, and then in order to

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Speaker 2: prep for the holiday, we filmed the show air airing

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Speaker 2: on Christmas, and the show this show airing on New

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Speaker 2: Year's all in the span of two days, and so

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Speaker 2: every single one of those shows has a conversation about

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Speaker 2: Corey's face.

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Speaker 6: Yeah, and I want to say, it looks better than yesterday,

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Speaker 6: which would have been Christmas episode. So yeah, you'll have

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Speaker 6: to go back if you haven't listened to the Christmas

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Speaker 6: episode and find out what happened to my face.

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Speaker 2: Besides the obvious, you wouldn't tell me I have to

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Speaker 2: watch the show.

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Speaker 3: Yeah, you're gonna have to. But uh, and then it's

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Speaker 3: Turkey season still to the end of the year.

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Speaker 6: So my boy and I eight year old boy, and

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Speaker 6: I'd like to go out and get a bird weather

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Speaker 6: dependent on how the roads hold up.

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Speaker 2: Yeah. I was pheasant hunting, like I don't know a

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Speaker 2: week or so ago and cut a lone gobbler.

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Speaker 4: Man.

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Speaker 2: I tried to find that thing, but I couldn't.

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Speaker 3: Yeah, out roaming around loving the fall.

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Speaker 2: So yeah, and speaking of gobblers at Phil, that was incredible.

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Speaker 1: You're pro. People love you when you host Brett.

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Speaker 2: We're to do our first interview today and our guest

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Speaker 2: is doctor Phil not Jake Lovretzki. He's a hunter, conservationist,

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Speaker 2: and geneticist. We've had him on the show before, so

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Speaker 2: some of you guys may have seen him if you're

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Speaker 2: not familiar. He he's got a really cool duck d

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Speaker 2: M a DNA project going on where he's like figuring

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Speaker 2: out the lineage of different ducks out there, whether they're hybrids, purebreads,

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Speaker 2: whether there's like farm raised duck DNA and those things.

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Speaker 2: And he moved on to doing a similar project called

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Speaker 2: Turkey DNA, which we're going to talk about with him today.

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Speaker 2: We've got got him on the line there. He is,

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Speaker 2: thanks for joining us.

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Speaker 4: Phil.

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Speaker 5: Hey, Phil, the whole world knows he as Jake.

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Speaker 2: Now, yeah, you were just thinking about Yeah, yeah, exactly.

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Speaker 3: How you doing, man, Look thanks?

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Speaker 5: Yeah, Happy holidays, Yeah.

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Speaker 7: Happy holidays, Happy Union. And now it's January.

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Speaker 2: First, yep, yep, exactly. Phil. For folks who aren't familiar

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Speaker 2: with you, just give us a quick breakdown of like

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Speaker 2: your bona fides, and then we'll get into the Turkey

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Speaker 2: DNA project you've got going on.

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Speaker 4: Yeah. Yeah, So I'm a professor here at the University

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Speaker 4: of Texas at El Paso.

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Speaker 7: I run a wildlife genetics lab.

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Speaker 4: We are geneticists, but we basically do everything else under

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Speaker 4: the sun. We're out there collecting, catching, banding, leading telemetry,

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Speaker 4: unit attaching, working with hunters.

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Speaker 7: Landowners, farmers, and others to.

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Speaker 4: Figure out what's happening with our wildlife and answering the

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Speaker 4: questions that our state and federal agencies partners want to know.

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Speaker 1: Great, that's just.

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Speaker 2: So leading into this Turkey DNA project. I'm not sure

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Speaker 2: if everyone's aware of this. Hopefully they are, but I'm

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Speaker 2: gonna tell him anyway, Like at one time, like all

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Speaker 2: turkeys were wild, there was no such thing as a

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Speaker 2: domestic turkey, and then North America got colonized. They domesticated

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Speaker 2: those turkeys here, brought them back to Europe, then brought

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Speaker 2: them back over here, and so now things are all

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Speaker 2: screwed up.

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Speaker 5: Uh, listen if I got it wrong? Yes, correct?

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Speaker 1: Are you just embarrassed because he did it so?

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Speaker 2: Well?

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Speaker 7: Man? How much did you drink last night?

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Speaker 5: Anyway?

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Speaker 1: I don't drink at all.

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Speaker 2: That's the problem, I think.

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Speaker 4: Yeah.

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Speaker 7: So sort of the timeline.

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Speaker 4: So turkeys, turkeys are a North American species.

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Speaker 7: They're not They're not European. There's no there's no real turkey.

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Speaker 4: There's no Turkey lineages in Europe, New Zealand anywhere else.

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Speaker 4: They are a North American Messo American group of that

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Speaker 4: evolved here. They were one of the successful domestication events

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Speaker 4: by our ancestors that made it over the land bridge

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Speaker 4: thousands of years.

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Speaker 3: Oh my, gotcha?

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Speaker 2: Okay yeah.

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Speaker 4: So so current ancient DNA work puts the domestication with gouls,

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Speaker 4: potentially with Miriam's potentially two different time points between different

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Speaker 4: tribes that were around at that time, looking at four

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Speaker 4: thousand so years ago.

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Speaker 7: So turkeys were domesticated much.

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Speaker 4: Like cow and dogs and stuff in Europe, but they

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Speaker 4: are specific to North America.

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Speaker 2: So like European colonists didn't come over here, or maybe

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Speaker 2: they did. Did they were they grabbing those those turkeys

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Speaker 2: that had already been domesticated or were they also getting

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Speaker 2: wild turkeysting that.

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Speaker 7: Are we talking about things? Giving? Those would have been

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Speaker 7: wild turkeys.

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Speaker 4: The colonists would have been on the east eating Easterns

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Speaker 4: at that time, right, So did.

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Speaker 2: They And also did they also domesticate, capture and eventually

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Speaker 2: domesticate those birds?

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Speaker 7: Yes, but like hundreds of years later I got you, yeah, yeah.

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Speaker 4: So so really Native Americans were the ones that had

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Speaker 4: what you would consider domestic turkeys at that time.

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Speaker 2: Yep.

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Speaker 4: Eventually, many many moons later, they would be brought back

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Speaker 4: to Europe and there are but they're not. So there's

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Speaker 4: farms of turkeys, but wild turkeys as far as we know,

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Speaker 4: have been brought back by the Brits, primarily back to

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Speaker 4: Europe and then everywhere they go.

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Speaker 7: So there's right, So there's turkeys in New Zealand.

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Speaker 4: There were no real there were no turkeys in Hawaii,

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Speaker 4: so people brought them there. So turkey have been expanded

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Speaker 4: that way, but naturally occurring only in North America. Origination

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Speaker 4: of domestic only in North America and mess America.

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Speaker 5: Okay, before we get into the next stuff.

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Speaker 2: Yeah, real quick, north like as is now North American

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Speaker 2: wild turkeys laid on me the five subspecies and roughly

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Speaker 2: where they live without you getting into how they've been

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Speaker 2: spread around like their original kind of range.

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Speaker 4: So if we'll go east to west, right, so east

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Speaker 4: of the Mississippi River where you had naturally occurring boreal forests,

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Speaker 4: that would have been your eastern turkey.

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Speaker 7: Once you get into the Florida.

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Speaker 4: Panhan or pama, yeah, Florida side, that would be Osceola.

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Speaker 4: What we're trying to figure out is how different osciolas

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Speaker 4: are from eastern.

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Speaker 7: Right now, so there's the there's those two.

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Speaker 4: As you go, as you go west, so west of

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Speaker 4: the Mississippi, you start getting into what would originally be rios, right,

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Speaker 4: so that would be Oklahoma, Texas, Nebraska, that area.

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Speaker 7: Then once you get into more mountainous regions.

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Speaker 2: Before you before you move on to the next one,

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Speaker 2: rio's typically or originally were like river bottom turkeys that

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Speaker 2: lived in more open country, correct, yeah, okay.

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Speaker 4: Right, yeah, so then you're essentially changing habitats from low

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Speaker 4: elevation to higher elevation, and that's when you get to Miriams.

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Speaker 7: Right, So.

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Speaker 4: Where I go in New Mexico, that would be all

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Speaker 4: the sky islands there right, the heel of the Sacramento Mountains,

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Speaker 4: those would be all natural miriam habitat right.

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Speaker 5: A little into Colorado too, correct.

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Speaker 7: That's right. Yeah, and then south of that right would

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Speaker 7: be Gouls.

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Speaker 4: So almost not almost all of the range in Mexico

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Speaker 4: would be where gouls turkey would have would have been.

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Speaker 4: And that's why all the studies have suggested that they're

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Speaker 4: the source.

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Speaker 7: For the original domestication than Miriams. So that's what you got.

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Speaker 7: Oh and then oscillated turkeys.

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Speaker 4: Were right now, talk about that.

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Speaker 2: That's a whole different.

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Speaker 1: But I feel like that is considering the advancement of civilization,

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Speaker 1: like that's where the domestication had to have started, right,

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Speaker 1: like sweet potatoes and yeah, exactly.

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Speaker 4: Yeah, yeah, yeah. So it's it's still being so for sure,

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Speaker 4: like some potentially we just don't have the the fossil

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Speaker 4: records and the ancient DNA to go along with it.

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Speaker 4: But I'm sure some civilizations did go after the oscillated turkey,

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Speaker 4: but for one reason or another. What we do have

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Speaker 4: good data for is that goulds were goulds and Miriams

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Speaker 4: in a mix of them were part were used for

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Speaker 4: that the earliest domestications as far as we know here

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Speaker 4: in the Southwest.

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Speaker 1: Yeah, it just became like the cool kid trend. Yeah,

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Speaker 1: those guys around.

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Speaker 4: Yeah, and they're bigger than oscillated.

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Speaker 7: They're you know, maybe more delicious. I don't know.

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Speaker 2: Yeah, all right, So we're getting into these like different

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Speaker 2: color phases and weird pattern color patterns that show up,

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Speaker 2: which is I'm sure a large part of of what

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Speaker 2: you're working on here, Like what's causing that? And correct

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Speaker 2: me if I'm wrong, But like, we've got a few

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Speaker 2: different things going on here.

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Speaker 5: We got completely wild.

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Speaker 2: Turkeys that have some type of genetic mutation like albinism

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Speaker 2: or melanism. Is that that's that's one.

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Speaker 5: That's one cause.

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Speaker 2: Then we've got breeding between wild turkey subspecies because these

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Speaker 2: birds have been moved around a lot. We've got overlapping

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Speaker 2: naturally overlapping range, and we've got like man made overlapping range.

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Speaker 2: For example here in northwestern Montana, you've got Mariam's and

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Speaker 2: Easterns and hybrids like kind of all living in the

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Speaker 2: same zone. And then the third thing is you've got

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Speaker 2: these like quote wild turkeys that are actually the product

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Speaker 2: of some domestic ancestry.

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Speaker 5: Like it could be a.

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Speaker 2: Like a like a wild hen that rolls in behind

295
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Speaker 2: the barn and hooks up with a domestic tom or

296
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Speaker 2: a domestic turkey of either sex that maybe goes rogue

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Speaker 2: and joins a flock of wild birds. Are those the

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Speaker 2: three like main things we're looking at here?

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Speaker 7: Those? Yes, you know we're trying to now.

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Speaker 4: Originally this study was about just asking the question of

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Speaker 4: wild turkey.

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Speaker 7: DNA was born out of the question is this a

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Speaker 7: wild turkey?

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Speaker 4: Is every white, smoke faced, red black turkey a wild

305
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Speaker 4: turkey that some weird mutation? Is it because of the

306
00:17:17,240 --> 00:17:20,679
Speaker 4: hybridization between wild and wild? Is it because of wild

307
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Speaker 4: heritage or wild domestic uh inter breeding, or is it

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Speaker 4: just a bunch of like domestic feral birds that are

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Speaker 4: on the landscape and people are shooting them.

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Speaker 1: I can usually tell because it's a lazy turkey hunter

311
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Speaker 1: or somebody who can't call very good that's obviously got

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Speaker 1: some dematistick. DNA AM because you can you shouldn't be

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Speaker 1: able to get a.

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Speaker 2: Legit this year exactly.

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Speaker 4: Yeah, Yeah, I didn't want I wanted to interrupt.

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Speaker 7: So there is a caveat to domestic and heritage.

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Speaker 4: So domestic a white turkey that you go to Costco

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Speaker 4: and buy, right, So this is a nuance within the

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Speaker 4: turkey world.

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Speaker 7: That I only recently learned.

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Speaker 4: Heritage is essentially people taking a domestic bird, breeding it

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Speaker 4: with a wild creating some thing, and then creating calling

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Speaker 4: it some heritage. Think of it, like, I guess back

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Speaker 4: to ducks, and there's a bunch of different duck breeds

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Speaker 4: that people have done that with dog breeds, right, So

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Speaker 4: it's it's mixing dog pools, especially when people do dog

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Speaker 4: wolf and then create some weird looking thing and then

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Speaker 4: breed that a.

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Speaker 1: Bunchto Yeah, yeah, same old story.

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Speaker 7: That's that. So that that's the caveat.

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Speaker 4: So we are looking at like is it a bunch

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Speaker 4: of heritage breeds, is it a bunch of domestic breeds?

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Speaker 7: What's occurring? What happens?

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Speaker 5: Yeah, it's cool.

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Speaker 2: And as far as like the domestic birds go, Like

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Speaker 2: I spent some time around those things. We raised a

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Speaker 2: few every year when I was a kid, and they're

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Speaker 2: stupid and they're like not very athletic. So it's like

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Speaker 2: like looking at back at those birds. It's like really

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Speaker 2: hard for me to imagine one of those things just

341
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Speaker 2: being like, you know what, I'm going with those guys,

342
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Speaker 2: and I'm gonna live in the woods with them, and

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Speaker 2: like that they survive long enough to like pass on

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Speaker 2: their jeans, like I know, like domestic pigs can go

345
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Speaker 2: fair like pretty rapidly. But it's like, it's like, how

346
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Speaker 2: adaptable are domestic turkeys to surviving in the wild.

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Speaker 4: Well, that's a great We don't know, and I wouldn't

348
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Speaker 4: have guessed it, but I will give you.

349
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Speaker 7: Two caveats to that.

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Speaker 5: Yeah.

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Speaker 4: One, remember what I said, heritage breeds are technically wild domestic, right,

352
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Speaker 4: so maybe that gives them a bit a bit up

353
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Speaker 4: and coming that they're like, ooh, there's something in some

354
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Speaker 4: of them being like I want.

355
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Speaker 7: To be wild a little bit.

356
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Speaker 4: The other thing that's happening on the landscape, unfortunately, is

357
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Speaker 4: that there are tales of people now creating breeds, like

358
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Speaker 4: there's an Eastern heritage that looks like an Eastern.

359
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Speaker 7: But it's not a wild bird.

360
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Speaker 4: And people are and I've I've heard through the grapevine

361
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Speaker 4: people are breeding things that look like Osceola's and other

362
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Speaker 4: things and putting those on the landscape during right before

363
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Speaker 4: hunting season.

364
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Speaker 7: For everybody can envision that picture.

365
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Speaker 4: So now you got birds in the spring, So now

366
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Speaker 4: they only have to really survive for for.

367
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Speaker 7: Not very long to have that meeting experience. Yeah.

368
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Speaker 4: So unfortunately people are doing what people do, and and

369
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Speaker 4: you know, once there's a dollar to be made, they'll

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Speaker 4: do all sorts of things.

371
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Speaker 2: This might be too big of a question, you might

372
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Speaker 2: not be able to really get at it. But based

373
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Speaker 2: on the evidence that you're seeing, the DNA evidence, what

374
00:21:15,720 --> 00:21:18,359
Speaker 2: seems to be more common when one of these weird

375
00:21:18,440 --> 00:21:21,719
Speaker 2: color faced birds show up? Or is it like truly

376
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Speaker 2: wild birds or is it more birds showing up with

377
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Speaker 2: some barnyard heritage.

378
00:21:29,160 --> 00:21:30,119
Speaker 7: It's a mix of both.

379
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Speaker 4: So there's so In fact, I had an email exchange

380
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Speaker 4: with Mike Chamberlain today where I sent him the most

381
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Speaker 4: recent results and he's like, there's still a bunch of

382
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Speaker 4: white birds that you're calling pure wild, and then there's

383
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Speaker 4: a bunch of there's plenty of whitebirds and smoke faced

384
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Speaker 4: birds that are completely heritage, and then there's you know,

385
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Speaker 4: stuff in the in between.

386
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Speaker 7: The answer to that is, I don't know.

387
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Speaker 4: Yeah, we went went into this thing, thinking like, ah,

388
00:22:00,400 --> 00:22:04,200
Speaker 4: this shouldn't be that hard. But turkeys are incredibly much

389
00:22:04,280 --> 00:22:08,840
Speaker 4: more complicated than ducks and waterfowl more generally, and probably

390
00:22:09,720 --> 00:22:14,000
Speaker 4: most wildlife for a variety of reasons. Their genetics is

391
00:22:14,080 --> 00:22:20,399
Speaker 4: incredibly complex, and that is muddying the water even further.

392
00:22:20,520 --> 00:22:23,760
Speaker 4: So we are trying to build up the data sets

393
00:22:24,200 --> 00:22:26,760
Speaker 4: big enough where we could be more certain about like

394
00:22:26,880 --> 00:22:29,040
Speaker 4: what are we looking at? Are we really looking at

395
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Speaker 4: a wild bird that's not white? And if so, why

396
00:22:32,200 --> 00:22:34,320
Speaker 4: is that? Yeah, one of the things that we're trying

397
00:22:34,359 --> 00:22:37,960
Speaker 4: to do is I've got a new student that has

398
00:22:38,200 --> 00:22:44,239
Speaker 4: identified most of the genes responsible for plumage, and so

399
00:22:44,320 --> 00:22:49,600
Speaker 4: what we're gonna layer on is the genotypes of those

400
00:22:49,800 --> 00:22:54,880
Speaker 4: specific genes, and what we're fight super preliminary, but there

401
00:22:54,920 --> 00:22:57,800
Speaker 4: are at least two ways for a bird to be white.

402
00:22:58,600 --> 00:23:01,360
Speaker 4: There are these two genes that if you knock them out,

403
00:23:01,400 --> 00:23:04,440
Speaker 4: you have a white bird. If you partially knock them out,

404
00:23:04,480 --> 00:23:06,000
Speaker 4: you'll have white barring.

405
00:23:06,720 --> 00:23:06,920
Speaker 7: Right.

406
00:23:06,960 --> 00:23:10,000
Speaker 4: So now we're trying to figure out how often or

407
00:23:10,040 --> 00:23:14,959
Speaker 4: how frequent is that are those found in wild populations,

408
00:23:15,480 --> 00:23:19,879
Speaker 4: how frequent are those introduced from heritage or domestic birds,

409
00:23:20,320 --> 00:23:24,120
Speaker 4: and how quickly does that disappear from the population, Right,

410
00:23:24,640 --> 00:23:28,440
Speaker 4: you shoot a weird looking bird, what is the probability

411
00:23:28,480 --> 00:23:31,520
Speaker 4: that that's a a wild bird and be how much

412
00:23:31,560 --> 00:23:33,000
Speaker 4: of a unicorn is that?

413
00:23:33,880 --> 00:23:39,239
Speaker 2: Yeah? I imagine too. I mean there's a lot of

414
00:23:39,280 --> 00:23:46,480
Speaker 2: states now, Nebraska, Montana, you know, I'm sure you could

415
00:23:46,600 --> 00:23:48,639
Speaker 2: name Washington, where.

416
00:23:48,600 --> 00:23:51,280
Speaker 7: Like California, Utah, Idaho.

417
00:23:51,600 --> 00:23:55,280
Speaker 2: Yeah, Like we're like, you could go out in Nebraska

418
00:23:55,800 --> 00:24:03,360
Speaker 2: and potentially in the same area run into Merriam's rios

419
00:24:03,400 --> 00:24:08,800
Speaker 2: and Easterns, like like all within spitting distance of one another,

420
00:24:09,320 --> 00:24:09,919
Speaker 2: or at least.

421
00:24:09,840 --> 00:24:10,840
Speaker 7: Things that look like that.

422
00:24:10,960 --> 00:24:11,120
Speaker 5: Yeah.

423
00:24:11,240 --> 00:24:14,359
Speaker 4: One of the things that we're sort of gauging now,

424
00:24:15,080 --> 00:24:19,280
Speaker 4: places like California, Washington, Idaho, Montana, Like you talked about

425
00:24:19,320 --> 00:24:24,119
Speaker 4: Oregon where agencies at the time, we're like, you know what,

426
00:24:24,160 --> 00:24:26,440
Speaker 4: we're not gonna We're not we don't know what's gonna take.

427
00:24:26,480 --> 00:24:29,880
Speaker 4: So we're just gonna put all the subspecies into there. Right,

428
00:24:29,960 --> 00:24:33,680
Speaker 4: So what do we have left? Are there any actual

429
00:24:35,119 --> 00:24:40,199
Speaker 4: populations representing true rios, Miriam's or students or do we

430
00:24:40,280 --> 00:24:43,320
Speaker 4: just have what potentially what we're gonna coin as the

431
00:24:43,359 --> 00:24:44,320
Speaker 4: American Turkey?

432
00:24:44,480 --> 00:24:44,960
Speaker 5: Yeah?

433
00:24:45,280 --> 00:24:49,760
Speaker 4: Yeah, yeah, so we're we're wild Turkey DNA is expanding

434
00:24:49,840 --> 00:24:52,800
Speaker 4: substantially this year, so we're not Initially it was all

435
00:24:52,800 --> 00:24:57,240
Speaker 4: about weird looking birds. Now we're trying to get geography right.

436
00:24:57,320 --> 00:25:00,840
Speaker 4: So if you are getting your gobble on this spring

437
00:25:01,200 --> 00:25:04,359
Speaker 4: or thinking about it, we're gonna have while Turkey DNA

438
00:25:04,440 --> 00:25:07,560
Speaker 4: is gonna start doing a draw much like duck DNA

439
00:25:07,880 --> 00:25:09,840
Speaker 4: has been doing for the last few years.

440
00:25:09,880 --> 00:25:12,040
Speaker 7: Where if you get drawn, you get a kit.

441
00:25:12,600 --> 00:25:15,280
Speaker 4: You have some vials in there, instructions, and if you

442
00:25:15,320 --> 00:25:19,200
Speaker 4: shoot a bird, you can cut off that tip of

443
00:25:19,240 --> 00:25:22,080
Speaker 4: the tongue, put it into there, ship it back to us.

444
00:25:22,160 --> 00:25:23,640
Speaker 7: We're gonna do our thing.

445
00:25:23,760 --> 00:25:26,120
Speaker 4: You'll get a certificate for that bird, and then we're

446
00:25:26,119 --> 00:25:30,639
Speaker 4: gonna start compiling data sets hopefully to answer many of

447
00:25:30,680 --> 00:25:31,360
Speaker 4: these questions.

448
00:25:31,400 --> 00:25:34,639
Speaker 5: You could eat that whole project. You could really bum.

449
00:25:34,440 --> 00:25:38,359
Speaker 2: Out some turkey hunters that are like their goal is

450
00:25:38,400 --> 00:25:41,280
Speaker 2: to get each subspecies and then they find out they're like,

451
00:25:41,320 --> 00:25:44,240
Speaker 2: oh man, I was actually.

452
00:25:43,920 --> 00:25:46,720
Speaker 7: I was actually thinking the same thing. You know, turkey slam.

453
00:25:46,760 --> 00:25:48,880
Speaker 4: The only way to get through turkey Slam is it

454
00:25:48,920 --> 00:25:54,760
Speaker 4: you actually got genetically vetted rules otherwise got the mutt

455
00:25:54,840 --> 00:25:56,040
Speaker 4: slam exactly.

456
00:25:56,160 --> 00:25:58,600
Speaker 1: Yeah, Yeah, I can't wait to go to National Wild

457
00:25:58,640 --> 00:26:04,120
Speaker 1: Turkey Federation Convention, be like, are they peer reviewed? It's

458
00:26:04,240 --> 00:26:08,720
Speaker 1: really really Phil, you want.

459
00:26:08,520 --> 00:26:10,080
Speaker 5: To pictures up?

460
00:26:11,800 --> 00:26:15,240
Speaker 2: Uh? I was talking Phil the engineer. Now I'm talking

461
00:26:15,280 --> 00:26:19,880
Speaker 2: for doctor Phil. What what are the most like common

462
00:26:20,040 --> 00:26:23,840
Speaker 2: and easily identified color phases that a turkey hunter is

463
00:26:23,880 --> 00:26:26,600
Speaker 2: like likely to shoot or might shoot?

464
00:26:27,400 --> 00:26:28,280
Speaker 7: You know what?

465
00:26:28,400 --> 00:26:30,520
Speaker 4: When I was thinking of this question, I phoned I

466
00:26:30,600 --> 00:26:35,400
Speaker 4: phoned a friend Mike ch Uh Katie with with our

467
00:26:35,400 --> 00:26:38,479
Speaker 4: wild turkey DNA and trying to figure that out because

468
00:26:38,600 --> 00:26:41,320
Speaker 4: I'm only now looking at turkeys. Right, You've got a

469
00:26:41,440 --> 00:26:48,240
Speaker 4: duck guy expanding into the edible domain here, So I'm

470
00:26:48,320 --> 00:26:50,479
Speaker 4: only I didn't know that this was even happening in

471
00:26:50,480 --> 00:26:53,000
Speaker 4: turkeys until a year ago. So some of the most

472
00:26:53,000 --> 00:26:56,760
Speaker 4: common would be what you're looking here, that reddish, that

473
00:26:56,920 --> 00:26:57,680
Speaker 4: red phase.

474
00:26:58,119 --> 00:27:01,199
Speaker 7: There's a bunch of Oh, this is.

475
00:27:01,200 --> 00:27:03,320
Speaker 4: Something I wanted to I wanted to say, so just

476
00:27:03,400 --> 00:27:07,320
Speaker 4: like a black lab can actually make all phases of lab. Right,

477
00:27:07,359 --> 00:27:11,000
Speaker 4: so you can have yellows and uh, you can you

478
00:27:11,040 --> 00:27:13,640
Speaker 4: can have chocolate and black come out of.

479
00:27:13,600 --> 00:27:14,359
Speaker 7: A black lab.

480
00:27:15,560 --> 00:27:20,120
Speaker 4: All heritage breeds, some proportion of them also can make

481
00:27:20,720 --> 00:27:24,760
Speaker 4: white turkeys, right, we all have it and so people

482
00:27:24,760 --> 00:27:29,600
Speaker 4: are just maintaining these different color forms by that selective breeding. Anyways,

483
00:27:29,640 --> 00:27:33,320
Speaker 4: I just wanted to put that out there itself. Could

484
00:27:33,320 --> 00:27:36,560
Speaker 4: be why we're seeing more and more white turkeys up Again,

485
00:27:37,000 --> 00:27:40,359
Speaker 4: we'll be able to source because the mutations that occurred

486
00:27:40,760 --> 00:27:45,439
Speaker 4: in the heritage and domestics to result in white type

487
00:27:46,240 --> 00:27:48,879
Speaker 4: is what it looks like quite different than what we

488
00:27:48,920 --> 00:27:52,200
Speaker 4: see in wild populations, just naturally occurring.

489
00:27:52,440 --> 00:27:55,280
Speaker 7: So we'll hopefully be able to actually track that. But

490
00:27:55,400 --> 00:27:56,480
Speaker 7: right there, what you see.

491
00:27:56,359 --> 00:28:00,920
Speaker 4: Right there, so that white and black barring that interchange, right,

492
00:28:01,240 --> 00:28:03,439
Speaker 4: I think that breed is supposed to be known as

493
00:28:03,520 --> 00:28:04,440
Speaker 4: like an air gasin.

494
00:28:05,560 --> 00:28:08,160
Speaker 7: We see that quite often. And that's what I told

495
00:28:08,240 --> 00:28:08,800
Speaker 7: you there.

496
00:28:08,960 --> 00:28:12,240
Speaker 4: If there's two genes, one Jean says barring, the other

497
00:28:12,280 --> 00:28:15,879
Speaker 4: one is a melanin production gym that' said turn on

498
00:28:16,080 --> 00:28:19,119
Speaker 4: or off, So that's how you get barring. Where you

499
00:28:19,160 --> 00:28:22,280
Speaker 4: get on off, on off plus barring. So that's what

500
00:28:22,320 --> 00:28:23,920
Speaker 4: you're seeing in that turkey right there.

501
00:28:24,000 --> 00:28:25,760
Speaker 5: So can you go back to that last one you

502
00:28:25,800 --> 00:28:26,199
Speaker 5: had up?

503
00:28:26,760 --> 00:28:27,040
Speaker 1: Yeah?

504
00:28:27,200 --> 00:28:33,520
Speaker 2: Sure, maybe that so that that there's a red one

505
00:28:33,760 --> 00:28:34,680
Speaker 2: I'm guessing.

506
00:28:35,000 --> 00:28:36,840
Speaker 4: Yeah, So that would be what is known as like

507
00:28:37,119 --> 00:28:41,120
Speaker 4: a color phase. Red Uh, there's there's there's turkeys. If

508
00:28:41,120 --> 00:28:43,400
Speaker 4: you look them up, they're called barnyard reds.

509
00:28:43,960 --> 00:28:46,160
Speaker 7: People have made all sorts of stuff. But yeah, that

510
00:28:46,160 --> 00:28:47,240
Speaker 7: would be one of the things.

511
00:28:47,400 --> 00:28:54,080
Speaker 4: The other, more more readily observed are called smoke phase.

512
00:28:54,080 --> 00:28:55,000
Speaker 4: I don't know, if you've got a pick.

513
00:28:55,240 --> 00:28:59,040
Speaker 2: We've got a gray one off there film.

514
00:28:59,360 --> 00:29:01,640
Speaker 1: I can at it really quick. It'll just be a second.

515
00:29:01,720 --> 00:29:03,320
Speaker 2: Well, yeah, just throw it up there when you get

516
00:29:03,360 --> 00:29:08,800
Speaker 2: to it. So those are kind of the big, big ones, Phil,

517
00:29:10,320 --> 00:29:12,640
Speaker 2: What but you got Like I've seen some of the

518
00:29:12,680 --> 00:29:15,840
Speaker 2: stuff you guys have posted on Instagram. Some of that

519
00:29:15,960 --> 00:29:19,520
Speaker 2: stuff is like very subtle, Like I don't like, if

520
00:29:19,520 --> 00:29:22,680
Speaker 2: you're just out hunting and not paying attention, like you

521
00:29:22,800 --> 00:29:23,960
Speaker 2: might not even notice it.

522
00:29:24,760 --> 00:29:29,040
Speaker 4: Absolutely, yeah, no, I mean it takes Mike Chamberlain, who

523
00:29:29,920 --> 00:29:33,320
Speaker 4: you know, looks at these things every single day, be like, oh,

524
00:29:33,480 --> 00:29:35,600
Speaker 4: that one feather is not right.

525
00:29:35,720 --> 00:29:36,240
Speaker 7: You're right.

526
00:29:36,600 --> 00:29:39,120
Speaker 4: Most of us, including myself, would be like sweet, I

527
00:29:39,120 --> 00:29:43,840
Speaker 4: got a turkey. Yeah, but yeah no, as we're learning

528
00:29:43,840 --> 00:29:46,080
Speaker 4: more of what we're hoping to do also is to

529
00:29:46,120 --> 00:29:49,520
Speaker 4: create some field guides where we start showcasing so people

530
00:29:49,600 --> 00:29:52,320
Speaker 4: can actually start learning about it as we learn it

531
00:29:53,200 --> 00:29:54,880
Speaker 4: and we figured this stuff out and get this in

532
00:29:54,920 --> 00:29:57,800
Speaker 4: the hands of both agency and private individuals out there

533
00:29:57,840 --> 00:30:01,760
Speaker 4: so we can better potentially monitor of these populations. One

534
00:30:01,840 --> 00:30:04,160
Speaker 4: of the things that one of the things that we're

535
00:30:04,160 --> 00:30:10,800
Speaker 4: worried about through these introductions of heritage or domestic birds

536
00:30:10,800 --> 00:30:14,080
Speaker 4: on the landscape is that what we're finding in heritage

537
00:30:14,080 --> 00:30:16,800
Speaker 4: and domestic when we have reference set is that they're

538
00:30:16,800 --> 00:30:20,720
Speaker 4: incredibly inbred. Every single one looks like a brother, sister,

539
00:30:21,240 --> 00:30:26,040
Speaker 4: right full siblings. And then what's happening on the landscape

540
00:30:26,080 --> 00:30:32,680
Speaker 4: is our natural populations through fragmented habitat, fragmentation, translocations, all

541
00:30:32,720 --> 00:30:34,440
Speaker 4: of these other things also.

542
00:30:34,680 --> 00:30:39,800
Speaker 7: Are not are are highly are more inbred.

543
00:30:39,360 --> 00:30:43,280
Speaker 4: Than other wild populations I study, including mammals and other birds.

544
00:30:44,800 --> 00:30:49,920
Speaker 2: Is there some concern that that could be? I mean,

545
00:30:49,920 --> 00:30:53,560
Speaker 2: it's probably more habitat driven, and I'm sure Mike Chamberlain

546
00:30:53,600 --> 00:30:55,960
Speaker 2: could weigh in here, but is there some concern that

547
00:30:55,960 --> 00:30:59,520
Speaker 2: that could also be at least a minor driver. And

548
00:30:59,560 --> 00:31:03,160
Speaker 2: where you're seeing turkey population decline under.

549
00:31:03,200 --> 00:31:06,920
Speaker 4: So as you up that ingreeding coefficient, what we know

550
00:31:07,280 --> 00:31:11,040
Speaker 4: from every other animal puma or.

551
00:31:11,000 --> 00:31:13,400
Speaker 7: Florida panthers are a great example of it.

552
00:31:13,760 --> 00:31:18,240
Speaker 4: You lose that connectivity to other populations. More and more

553
00:31:18,280 --> 00:31:22,520
Speaker 4: of them breed amongst brothers and sisters, you increase that inbreeding.

554
00:31:22,560 --> 00:31:24,800
Speaker 4: What's happening is that even if you had all the

555
00:31:24,880 --> 00:31:28,360
Speaker 4: habitat in the world, the individuals that you have now

556
00:31:28,480 --> 00:31:34,040
Speaker 4: are making eggs that are either in viable or individuals

557
00:31:34,040 --> 00:31:37,520
Speaker 4: that have lower survival because they're inbreeding so hot.

558
00:31:38,400 --> 00:31:41,400
Speaker 7: So turkeys also don't like.

559
00:31:41,400 --> 00:31:44,400
Speaker 4: To cross the road, apparently like right or ducks will

560
00:31:44,440 --> 00:31:47,080
Speaker 4: fly across the road, but turkeys don't. So as you

561
00:31:47,160 --> 00:31:50,400
Speaker 4: get more and more of that fragmentation bigger issue in

562
00:31:50,480 --> 00:31:54,160
Speaker 4: the East than in the West, you you basically force

563
00:31:54,560 --> 00:31:58,200
Speaker 4: the population to become more and more bread inbred. And

564
00:31:58,280 --> 00:32:00,880
Speaker 4: as you put so, let's say you're you're.

565
00:32:00,880 --> 00:32:04,240
Speaker 1: Creating artificial island.

566
00:32:04,560 --> 00:32:08,080
Speaker 4: And then if you throw a bunch of highly inbred

567
00:32:08,120 --> 00:32:12,320
Speaker 4: heritage birds into there, what we show genetically is that

568
00:32:12,440 --> 00:32:17,920
Speaker 4: if you breed those two birds together, instead of decreasing inbreeding,

569
00:32:18,000 --> 00:32:20,240
Speaker 4: you actually artificially jump.

570
00:32:20,080 --> 00:32:23,120
Speaker 7: The inbreeding between the birds.

571
00:32:23,080 --> 00:32:26,239
Speaker 4: So a ness that should have been outbred, meaning you know,

572
00:32:27,040 --> 00:32:31,040
Speaker 4: good to go, you artificially already spike it up. And

573
00:32:31,160 --> 00:32:33,760
Speaker 4: turkeys aren't the only ones we're seeing the same pattern.

574
00:32:33,800 --> 00:32:36,120
Speaker 4: We're seeing it in our ducks. When when game fire

575
00:32:36,160 --> 00:32:39,720
Speaker 4: mallards and wild mallards, inner bread, inner breed, you should

576
00:32:39,760 --> 00:32:42,240
Speaker 4: have an inbreeding coefficient of zero, but it jumps to

577
00:32:42,320 --> 00:32:46,200
Speaker 4: point two within the clutch. So you're artificially inbreeding your

578
00:32:46,200 --> 00:32:47,760
Speaker 4: own population through those.

579
00:32:47,600 --> 00:32:49,480
Speaker 5: Actions, which no good.

580
00:32:50,600 --> 00:32:53,960
Speaker 4: Yeah, a cyclical effects, especially for turkeys that have a

581
00:32:53,960 --> 00:32:57,880
Speaker 4: hard time with habitat connected and population connectivity.

582
00:32:57,960 --> 00:33:00,840
Speaker 1: Would you mind, because he has just got some good

583
00:33:00,960 --> 00:33:07,800
Speaker 1: ink on the genetic depth in the eastern mallards, would

584
00:33:07,840 --> 00:33:10,200
Speaker 1: you mind just hitting that real quick, like an update

585
00:33:10,240 --> 00:33:16,360
Speaker 1: for everybody on on Yeah, the percentage of domestic DNA

586
00:33:17,000 --> 00:33:20,160
Speaker 1: within your and I'll buzz kill.

587
00:33:20,200 --> 00:33:22,480
Speaker 2: This was the map that got posted. Did you see

588
00:33:22,480 --> 00:33:26,240
Speaker 2: the map? Yeah?

589
00:33:26,320 --> 00:33:30,000
Speaker 1: Yeah, yeah, yeah within your quote wild population.

590
00:33:31,360 --> 00:33:31,800
Speaker 7: Yeah.

591
00:33:31,880 --> 00:33:36,880
Speaker 4: So so basically, uh yeah, basically I need an hour

592
00:33:37,000 --> 00:33:40,440
Speaker 4: to talk right now. But so what we're doing right

593
00:33:40,480 --> 00:33:45,640
Speaker 4: so duck DNA was what we started with in the

594
00:33:45,680 --> 00:33:48,600
Speaker 4: wildlife world, being like, all right, does citizen science at

595
00:33:48,600 --> 00:33:53,320
Speaker 4: this level with Hunter's work? And the answer is overwhelmingly yes.

596
00:33:53,520 --> 00:33:59,160
Speaker 4: We're in our third year. We've doubled the participation, doubled.

597
00:33:58,760 --> 00:34:00,800
Speaker 7: The number of samples every year.

598
00:34:00,880 --> 00:34:04,800
Speaker 4: Thankful, thankful, to all the donors that provided the funding

599
00:34:04,880 --> 00:34:09,360
Speaker 4: necessary for that, and essentially we're over almost three thousand

600
00:34:09,480 --> 00:34:12,960
Speaker 4: samples collected in three years. And one of those one

601
00:34:13,000 --> 00:34:15,239
Speaker 4: of the aims of that study is to monitor the

602
00:34:15,280 --> 00:34:19,359
Speaker 4: popula mallard populations across North across the US for now.

603
00:34:19,600 --> 00:34:23,400
Speaker 4: We're about to get Canada into the mix, but across

604
00:34:23,440 --> 00:34:26,480
Speaker 4: North across the US for now, and what we've seen,

605
00:34:26,560 --> 00:34:29,400
Speaker 4: what we've tracked is that the eastern population is not

606
00:34:29,560 --> 00:34:32,640
Speaker 4: doing great and it continues to get worse and worse.

607
00:34:32,680 --> 00:34:35,600
Speaker 4: And so during the fall flight, when you've got an

608
00:34:35,600 --> 00:34:38,880
Speaker 4: influx of birds out of Canada, which are mostly wild,

609
00:34:40,480 --> 00:34:44,640
Speaker 4: you have seventy five percent of harvested birds from duck DNA,

610
00:34:44,800 --> 00:34:48,000
Speaker 4: and we have got other data that support this even

611
00:34:48,080 --> 00:34:52,920
Speaker 4: more in the Atlantic Flyway are feral or feral hybrids.

612
00:34:53,760 --> 00:34:56,279
Speaker 4: And when we look at summer birds, so my other

613
00:34:56,320 --> 00:35:00,359
Speaker 4: work working with the state agencies, that proportion actually to

614
00:35:00,520 --> 00:35:03,760
Speaker 4: like one hundred percent or even less than two percent

615
00:35:04,640 --> 00:35:09,280
Speaker 4: for most of the states, and so seventy five percent there,

616
00:35:09,320 --> 00:35:12,880
Speaker 4: we jump down to about forty percent on average in

617
00:35:12,920 --> 00:35:16,680
Speaker 4: the Mississippi huge amount in game of game far mallard

618
00:35:17,160 --> 00:35:20,120
Speaker 4: ancestry in the Great Lakes region less, So if you

619
00:35:20,200 --> 00:35:24,200
Speaker 4: go south of Tennessee, there's this interesting population dynamic going

620
00:35:24,239 --> 00:35:27,680
Speaker 4: on there. You jump to the Central Flyway and essentially

621
00:35:27,800 --> 00:35:30,520
Speaker 4: disappears less than ten percent. You jump over to the

622
00:35:30,560 --> 00:35:34,680
Speaker 4: Pacific Flyway and it jumps back up, unfortunately to twenty percent,

623
00:35:35,080 --> 00:35:39,040
Speaker 4: mostly driven by whatever's happening in California.

624
00:35:39,280 --> 00:35:40,160
Speaker 1: Wow.

625
00:35:41,440 --> 00:35:44,840
Speaker 4: Yeah, So we're tracking this thing, and unfortunately for the

626
00:35:45,320 --> 00:35:48,839
Speaker 4: for the wild mallard, it continues to be quite the problem.

627
00:35:49,760 --> 00:35:53,400
Speaker 4: We're hoping we're starting to try to figure out some solutions,

628
00:35:53,400 --> 00:35:57,520
Speaker 4: but obviously everybody always asks, like, so they're interbreeding, is

629
00:35:57,520 --> 00:36:01,239
Speaker 4: there any sort of actual biologne logical problem with that?

630
00:36:01,840 --> 00:36:04,160
Speaker 4: And in the next year we'll be we'll be putting

631
00:36:04,200 --> 00:36:09,280
Speaker 4: out papers showcasing that not only does it change their

632
00:36:09,640 --> 00:36:14,640
Speaker 4: migratory capacity, their feeding behavior, their ability to nest, but

633
00:36:14,760 --> 00:36:18,279
Speaker 4: in fact we showcase that their brains have actually been

634
00:36:19,280 --> 00:36:26,000
Speaker 4: changed to not to be more domestic like than they

635
00:36:26,120 --> 00:36:29,320
Speaker 4: are wild type when you interbreed, and all of these

636
00:36:29,400 --> 00:36:32,160
Speaker 4: traits have a correlation with genetics.

637
00:36:32,160 --> 00:36:34,080
Speaker 7: So the more game farm you have, the more game

638
00:36:34,120 --> 00:36:34,759
Speaker 7: farming you look.

639
00:36:34,880 --> 00:36:38,120
Speaker 4: Like the problem with the Atlantic Flyway that we're starting

640
00:36:38,120 --> 00:36:42,000
Speaker 4: to see or at least now we can analyze is

641
00:36:42,040 --> 00:36:48,919
Speaker 4: that we randomly now get a game farm mallard phenotype

642
00:36:49,040 --> 00:36:53,279
Speaker 4: and behavior by just by chance. There's so many hybrids

643
00:36:53,560 --> 00:36:58,160
Speaker 4: that some proportion of nests just by chance recapitulate game.

644
00:36:57,960 --> 00:37:01,920
Speaker 7: Farm all of a sudden, which is just not great.

645
00:37:02,440 --> 00:37:04,719
Speaker 1: No. I mean, that's why all those fellows who you

646
00:37:04,800 --> 00:37:09,200
Speaker 1: know can't blow a duck call they're posting all those

647
00:37:09,280 --> 00:37:10,200
Speaker 1: pictures of limits.

648
00:37:10,280 --> 00:37:11,799
Speaker 7: Yeah that's right.

649
00:37:11,920 --> 00:37:16,359
Speaker 1: Yeah, and there's like we're not getting what. You know,

650
00:37:16,480 --> 00:37:19,279
Speaker 1: me as a big duck eater would call like the

651
00:37:19,320 --> 00:37:23,360
Speaker 1: benefits of having some domestic strain in there, like yeah.

652
00:37:23,560 --> 00:37:25,279
Speaker 4: And I will tell you so people would be like,

653
00:37:25,320 --> 00:37:28,160
Speaker 4: oh no, yeah, whatever, duck's a duck.

654
00:37:28,360 --> 00:37:31,759
Speaker 7: I'll eat that. Fun fact. They don't put on.

655
00:37:31,920 --> 00:37:36,880
Speaker 4: Fat, oh, superary fat content the way a wild type.

656
00:37:36,920 --> 00:37:40,200
Speaker 7: That's why they can't. They can't. We've published this now

657
00:37:40,960 --> 00:37:43,799
Speaker 7: and we were like, why can't they move?

658
00:37:44,120 --> 00:37:47,600
Speaker 4: Maybe they don't know how, maybe there's some weird thing happening.

659
00:37:47,600 --> 00:37:50,319
Speaker 4: But one of the physiological differences is that even if

660
00:37:50,360 --> 00:37:52,360
Speaker 4: we put them on the high fat you're in a child,

661
00:37:52,400 --> 00:37:55,520
Speaker 4: they will not put fat. Oh.

662
00:37:55,880 --> 00:37:58,560
Speaker 1: I feel like if we were in like the doctor

663
00:37:58,680 --> 00:38:03,879
Speaker 1: who uh uh, you know, like bomb shelter the def

664
00:38:03,960 --> 00:38:06,720
Speaker 1: con level. For me, it would have just just rest.

665
00:38:07,040 --> 00:38:10,840
Speaker 1: I'm like, yeah, my god, there's a real issue here.

666
00:38:11,680 --> 00:38:16,520
Speaker 1: Like fatty ducks are like the most prized possession in

667
00:38:16,560 --> 00:38:17,120
Speaker 1: my freezer.

668
00:38:18,000 --> 00:38:21,000
Speaker 4: Yeah, and if you don't have a fat duck when

669
00:38:21,000 --> 00:38:25,040
Speaker 4: that polar vortex happens, that duck doesn't make it. And

670
00:38:25,080 --> 00:38:29,080
Speaker 4: the more of your population proportionally grows with those types

671
00:38:29,080 --> 00:38:33,600
Speaker 4: of traits, the lower the survival and the fecundity or

672
00:38:33,640 --> 00:38:36,680
Speaker 4: baby making we expect. And that is what we're seeing

673
00:38:36,719 --> 00:38:39,120
Speaker 4: in the Great Lakes, we're seeing in the Atlantic.

674
00:38:39,120 --> 00:38:41,799
Speaker 7: Flowery, So what I have to caveat all of this?

675
00:38:41,960 --> 00:38:47,040
Speaker 4: It's all suggestive, it's it's at least explaining some of

676
00:38:47,080 --> 00:38:52,560
Speaker 4: the population declines, right, we don't Habitat is definitely everything.

677
00:38:53,000 --> 00:38:56,319
Speaker 4: But even like just like the turkey, you need you

678
00:38:56,360 --> 00:38:58,680
Speaker 4: need an animal that knows how to use that habitat.

679
00:38:59,040 --> 00:39:03,160
Speaker 2: Yeah, all right, we gotta keep moving here.

680
00:39:03,400 --> 00:39:03,640
Speaker 4: Yeah.

681
00:39:05,040 --> 00:39:09,040
Speaker 1: The human responsibility thing here is really like once again

682
00:39:09,120 --> 00:39:14,600
Speaker 1: a fact.

683
00:39:11,960 --> 00:39:15,880
Speaker 2: How how can folks take part in the turkey and

684
00:39:16,080 --> 00:39:17,920
Speaker 2: or duck DNA projects?

685
00:39:18,320 --> 00:39:18,520
Speaker 7: Yeah?

686
00:39:18,600 --> 00:39:22,680
Speaker 4: Yeah, please if you're interested, Oh, if you're still duck hunting,

687
00:39:23,960 --> 00:39:27,719
Speaker 4: like how and you shoot something super awesomely cool or

688
00:39:27,760 --> 00:39:30,080
Speaker 4: you're like, I don't know what this is both.

689
00:39:29,880 --> 00:39:30,880
Speaker 7: Duck and Goose.

690
00:39:31,239 --> 00:39:35,680
Speaker 4: Go to www dot Duck dna dot com and sign

691
00:39:35,760 --> 00:39:39,799
Speaker 4: up for the hybrid kit. If you get chosen, we'll

692
00:39:39,840 --> 00:39:42,399
Speaker 4: send you a single vile kit. You send it back

693
00:39:42,440 --> 00:39:46,800
Speaker 4: to us, We do the analysis. You get some answers.

694
00:39:46,920 --> 00:39:49,520
Speaker 2: Do we get a little favoritism there? Like can you

695
00:39:49,560 --> 00:39:50,680
Speaker 2: send us a bunch of those?

696
00:39:51,880 --> 00:39:56,719
Speaker 1: Come on, I think Karan got a bunch of them.

697
00:39:56,800 --> 00:39:58,560
Speaker 2: Yeah, we'll talk to Karin.

698
00:40:00,160 --> 00:40:01,960
Speaker 7: Yeah, but we can definitely send you some.

699
00:40:02,520 --> 00:40:05,800
Speaker 4: That being said, on the turkey, go to wild Turkey

700
00:40:05,920 --> 00:40:08,600
Speaker 4: DNA dot com start signing up.

701
00:40:08,680 --> 00:40:09,279
Speaker 7: We're going to.

702
00:40:09,280 --> 00:40:13,600
Speaker 4: Have those polls right before turkey season. That being said,

703
00:40:13,680 --> 00:40:16,719
Speaker 4: if you do shoot a turkey during if you have

704
00:40:16,800 --> 00:40:19,640
Speaker 4: a fall hunting season like you guys do for a

705
00:40:19,640 --> 00:40:23,280
Speaker 4: few more days and Idaho and others, and you shoot something,

706
00:40:23,840 --> 00:40:28,400
Speaker 4: give us a ring or an email through the website

707
00:40:28,800 --> 00:40:32,560
Speaker 4: or get in touch at Wild Turkey DNA on Instagram

708
00:40:32,719 --> 00:40:35,840
Speaker 4: or at Duck d Duck DNA The Duck DNA on

709
00:40:35,920 --> 00:40:39,839
Speaker 4: Instagram or at Loretzky Lab on Instagram, and we'll take

710
00:40:39,880 --> 00:40:40,319
Speaker 4: care of you.

711
00:40:40,680 --> 00:40:43,480
Speaker 2: I got one more question about that, especially for the

712
00:40:43,520 --> 00:40:46,400
Speaker 2: people who might end up with one of these kits.

713
00:40:47,120 --> 00:40:50,719
Speaker 2: It doesn't have to be some weird looking bird, correct now,

714
00:40:50,880 --> 00:40:55,120
Speaker 2: like anything like it could look like a like just

715
00:40:55,280 --> 00:40:58,600
Speaker 2: pure white tail fan mirriams and you still want to

716
00:40:58,640 --> 00:40:59,160
Speaker 2: start out.

717
00:40:59,239 --> 00:41:03,680
Speaker 4: So for Turkey this year, we're looking for geography. We're

718
00:41:03,719 --> 00:41:08,000
Speaker 4: also part of the selection criteria is where do you hunt?

719
00:41:08,200 --> 00:41:11,640
Speaker 7: How many birds do you usually harvest? Those are going

720
00:41:11,680 --> 00:41:13,440
Speaker 7: to be some of the information that we're going to

721
00:41:13,520 --> 00:41:13,960
Speaker 7: want to know.

722
00:41:14,440 --> 00:41:17,560
Speaker 4: If you are a person that has access to you know,

723
00:41:17,640 --> 00:41:21,280
Speaker 4: three tags, will send you three files. If you're someone

724
00:41:21,280 --> 00:41:23,279
Speaker 4: that shoots one bird, will send you one file. So

725
00:41:23,320 --> 00:41:26,279
Speaker 4: we're gonna gauge, gauge that so that way we can

726
00:41:26,320 --> 00:41:29,160
Speaker 4: get as many hunters involved and as much of the

727
00:41:29,200 --> 00:41:32,560
Speaker 4: geography uh captured as we can.

728
00:41:32,680 --> 00:41:34,600
Speaker 7: This year for sure great and.

729
00:41:34,520 --> 00:41:37,440
Speaker 4: This year for sure if you're like my kids shot

730
00:41:37,480 --> 00:41:39,680
Speaker 4: a bird, send that thing in cool.

731
00:41:39,719 --> 00:41:41,520
Speaker 7: Yeah, yeah, it'd be super awesome.

732
00:41:42,800 --> 00:41:46,839
Speaker 2: Thanks for joining us, Phil, It's always a fascinating conversation.

733
00:41:47,200 --> 00:41:50,760
Speaker 2: And on a side note, I'm looking forward to heading

734
00:41:50,760 --> 00:41:55,560
Speaker 2: down to Texas. Cory. You're going to Yep for a collaboration.

735
00:41:56,480 --> 00:41:59,479
Speaker 2: Mediator has going on with you involving our dad, which

736
00:41:59,560 --> 00:42:01,399
Speaker 2: the audience, and so I'm sure we'll be hearing more

737
00:42:01,400 --> 00:42:02,000
Speaker 2: about later.

738
00:42:02,080 --> 00:42:03,160
Speaker 5: So we're looking forward to that.

739
00:42:03,760 --> 00:42:05,319
Speaker 7: We were just doing birds now.

740
00:42:05,600 --> 00:42:09,600
Speaker 2: Nope, nope, we're doing doing our dad too. But thanks

741
00:42:09,600 --> 00:42:12,080
Speaker 2: a lot, Happy holidays and thanks for coming on.

742
00:42:12,880 --> 00:42:14,839
Speaker 7: Yeah, thanks everybody, very cool.

743
00:42:15,160 --> 00:42:16,360
Speaker 1: Happy New Year, Phil.

744
00:42:17,200 --> 00:42:21,360
Speaker 2: Yeah, okay, folks, that's it for today's show.

745
00:42:22,080 --> 00:42:24,480
Speaker 1: I mean, come on, that's great citizen science.

746
00:42:25,000 --> 00:42:26,560
Speaker 2: That was good. You might have to trim some of

747
00:42:26,600 --> 00:42:28,920
Speaker 2: these listener questions, but that was a good school. We

748
00:42:28,960 --> 00:42:31,600
Speaker 2: can do that, Phil, we can skip them, maybe just

749
00:42:31,680 --> 00:42:32,440
Speaker 2: do one each.

750
00:42:32,320 --> 00:42:35,319
Speaker 1: Or well, it's like it's it's part of like what

751
00:42:35,719 --> 00:42:38,479
Speaker 1: hunters bring to the table for the greater good.

752
00:42:39,000 --> 00:42:40,640
Speaker 2: Yeah, And when you get a chance to talk to

753
00:42:40,680 --> 00:42:43,200
Speaker 2: someone like that, it's just like I got another question,

754
00:42:43,480 --> 00:42:46,759
Speaker 2: I got another question, Like you don't get a chance

755
00:42:46,800 --> 00:42:48,560
Speaker 2: to talk to people like that very often.

756
00:42:49,200 --> 00:42:51,279
Speaker 6: Yeah, some of the other critters that he'd love to

757
00:42:51,320 --> 00:42:54,000
Speaker 6: dive into with other DNA, you know, he's got Duck

758
00:42:54,040 --> 00:42:57,080
Speaker 6: and Turkey going, there's other Yeah, things he's got in

759
00:42:57,160 --> 00:42:58,120
Speaker 6: his head that he wants.

760
00:42:57,920 --> 00:43:00,480
Speaker 3: To pull off here for so hopefully there's more to come.

761
00:43:01,080 --> 00:43:03,120
Speaker 2: Do we gotta throwback Thursday song filler.

762
00:43:03,160 --> 00:43:05,000
Speaker 5: Did you just abandon all the all that?

763
00:43:05,200 --> 00:43:05,239
Speaker 7: No?

764
00:43:05,360 --> 00:43:06,520
Speaker 1: I still still do the drop?

765
00:43:06,600 --> 00:43:07,440
Speaker 3: Isn't that your favorite one?

766
00:43:07,560 --> 00:43:11,160
Speaker 2: Us to do the drop? This is my favorite one.

767
00:43:12,280 --> 00:43:18,960
Speaker 2: Stephen Rody take me back to nineteen seventy four back.

768
00:43:19,560 --> 00:43:23,440
Speaker 5: I can't believe it. Did I mentioned Stephen.

769
00:43:23,160 --> 00:43:24,879
Speaker 7: Brody our old as.

770
00:43:27,800 --> 00:43:30,319
Speaker 2: I need you to fill out the whole song. I

771
00:43:30,360 --> 00:43:31,600
Speaker 2: want to all the lead one.

772
00:43:31,840 --> 00:43:33,840
Speaker 1: Yeah, that'll be my my winter break project.

773
00:43:33,920 --> 00:43:36,879
Speaker 2: Sure, all right, guys, it's time to look back at

774
00:43:37,000 --> 00:43:40,719
Speaker 2: the last year and share your favorite I think it's

775
00:43:41,120 --> 00:43:43,200
Speaker 2: I'm doing hunting, could be fishing, but I don't know

776
00:43:43,239 --> 00:43:45,920
Speaker 2: what you guys are doing. Share your favorite trips of

777
00:43:45,920 --> 00:43:49,000
Speaker 2: the year. So Cory, you're up first man.

778
00:43:49,200 --> 00:43:52,400
Speaker 6: Yeah, well gosh, it was hard to top my spring

779
00:43:52,520 --> 00:43:55,120
Speaker 6: black bear hunt. I think I got a video up

780
00:43:56,160 --> 00:44:00,480
Speaker 6: there and a couple photos, but uh, hunting us. The

781
00:44:00,520 --> 00:44:02,720
Speaker 6: best part about it was I've been hunting the spot

782
00:44:02,719 --> 00:44:06,640
Speaker 6: for about five years without being able to take aim

783
00:44:06,719 --> 00:44:08,719
Speaker 6: and shoot at a black bear, and finally it all

784
00:44:08,760 --> 00:44:14,440
Speaker 6: came together this last spring early May solo hunting overnight,

785
00:44:14,719 --> 00:44:18,840
Speaker 6: backpacked into a spot Bruiser spotted him the night before,

786
00:44:18,960 --> 00:44:19,920
Speaker 6: put a stock on him.

787
00:44:19,960 --> 00:44:20,719
Speaker 3: He eluded me.

788
00:44:20,840 --> 00:44:24,319
Speaker 6: He zigged and I zagged, and then was able to

789
00:44:24,320 --> 00:44:26,960
Speaker 6: dig him up. The next morning stalked him. I spotted

790
00:44:27,000 --> 00:44:28,520
Speaker 6: him at probably a mile and a half away, and

791
00:44:28,520 --> 00:44:30,680
Speaker 6: then stalked into ninety yards and shot him on the

792
00:44:30,719 --> 00:44:34,440
Speaker 6: run with a three hundred wind mag which rarely happens.

793
00:44:34,440 --> 00:44:37,399
Speaker 6: I feel like spotting stock bears. You see him far

794
00:44:37,520 --> 00:44:38,200
Speaker 6: off and you're.

795
00:44:38,080 --> 00:44:39,879
Speaker 5: Like, oh, yeah, it looks like he's headed that way.

796
00:44:40,120 --> 00:44:42,120
Speaker 6: You know, they usually go a different direction or something,

797
00:44:42,160 --> 00:44:44,279
Speaker 6: the odds of like lining up the planets to get

798
00:44:44,320 --> 00:44:47,160
Speaker 6: him within range or so slim. It's so tough, but

799
00:44:47,239 --> 00:44:49,560
Speaker 6: so addicting too, And I got lucky with this one.

800
00:44:49,600 --> 00:44:51,720
Speaker 6: I couldn't tell he was that big from that far away,

801
00:44:52,520 --> 00:44:55,000
Speaker 6: but holy cow, it'll be probably the biggest bear I ever.

802
00:44:54,960 --> 00:44:57,279
Speaker 3: Kill in the state of Montana at least.

803
00:44:57,280 --> 00:45:01,240
Speaker 6: And fun note, I just got the hide back from

804
00:45:01,239 --> 00:45:03,440
Speaker 6: mister John Hayes, and he told me that was the

805
00:45:03,440 --> 00:45:06,680
Speaker 6: biggest Montana black bear that's ever come through his shop.

806
00:45:06,840 --> 00:45:11,480
Speaker 2: Really, what does the skull measure?

807
00:45:11,640 --> 00:45:14,200
Speaker 6: When it was green, it was just under twenty inches.

808
00:45:14,480 --> 00:45:16,799
Speaker 6: I haven't measured it since since I boiled it.

809
00:45:16,920 --> 00:45:18,320
Speaker 2: So were you by yourself?

810
00:45:19,040 --> 00:45:20,399
Speaker 3: And then a buddy helped me pack it out.

811
00:45:20,400 --> 00:45:21,560
Speaker 2: Oh that's all I can say.

812
00:45:21,560 --> 00:45:23,040
Speaker 6: If you had to pack all that out, it was

813
00:45:23,160 --> 00:45:24,680
Speaker 6: even the two of us. It was brutal and it

814
00:45:24,719 --> 00:45:28,000
Speaker 6: was hot too. It was like seventy plus degrees. That

815
00:45:28,120 --> 00:45:31,359
Speaker 6: hide and head was insanely awkward and heavy to pack out.

816
00:45:31,400 --> 00:45:32,880
Speaker 3: Had to cross creek multiple times.

817
00:45:32,880 --> 00:45:33,840
Speaker 2: So you got him rugged?

818
00:45:35,000 --> 00:45:38,239
Speaker 3: Uh, it's just uh the hide right now? Thinking about

819
00:45:38,280 --> 00:45:39,720
Speaker 3: getting event get rugged?

820
00:45:39,800 --> 00:45:40,000
Speaker 4: Yeah?

821
00:45:40,520 --> 00:45:42,040
Speaker 1: Tho, those are good things to hang on. Do you

822
00:45:42,040 --> 00:45:43,960
Speaker 1: have a place to like hang it or throw it

823
00:45:44,000 --> 00:45:44,279
Speaker 1: in the.

824
00:45:44,239 --> 00:45:45,800
Speaker 3: House in my office at the moment.

825
00:45:45,880 --> 00:45:47,080
Speaker 1: Ok, yeah, right upstairs.

826
00:45:47,239 --> 00:45:49,080
Speaker 3: It looks pretty good up there next to my mountain lion.

827
00:45:49,680 --> 00:45:52,320
Speaker 2: Sweet uh couple.

828
00:45:52,920 --> 00:45:55,040
Speaker 3: I got one more just it was hard to pick

829
00:45:55,239 --> 00:45:55,879
Speaker 3: out of the two.

830
00:45:56,200 --> 00:45:59,239
Speaker 6: Got to kill a white tail buck and a dot

831
00:45:59,280 --> 00:45:59,719
Speaker 6: with my son.

832
00:45:59,800 --> 00:46:02,600
Speaker 3: This here it was alongside with me. Uh, it was

833
00:46:02,640 --> 00:46:03,040
Speaker 3: really fun.

834
00:46:03,120 --> 00:46:06,479
Speaker 6: Got some private land access not too far from home here.

835
00:46:06,920 --> 00:46:08,600
Speaker 6: I don't think I would have got the access if

836
00:46:08,640 --> 00:46:10,840
Speaker 6: I said I'm hunting by myself. But I said I

837
00:46:10,880 --> 00:46:12,880
Speaker 6: was bringing my seven year old boy along, and it

838
00:46:12,920 --> 00:46:14,319
Speaker 6: was like heck, yeah, I bring him in and we

839
00:46:14,680 --> 00:46:16,879
Speaker 6: shot a dough out of a blind within the first

840
00:46:16,880 --> 00:46:18,839
Speaker 6: couple of minutes, and the landowner said, if you see

841
00:46:18,840 --> 00:46:22,759
Speaker 6: this super old unicorn buck dragging his feet around, you

842
00:46:22,760 --> 00:46:24,480
Speaker 6: should shoot him because he's probably not going to make

843
00:46:24,480 --> 00:46:25,000
Speaker 6: it through the winter.

844
00:46:25,080 --> 00:46:28,560
Speaker 3: And as we were dragging out the dough, that buck.

845
00:46:28,360 --> 00:46:30,640
Speaker 6: Came out of the out of the cottonwoods and we

846
00:46:30,719 --> 00:46:33,319
Speaker 6: got him too, So doubled up within a about an

847
00:46:33,320 --> 00:46:34,800
Speaker 6: hour of hunting.

848
00:46:35,800 --> 00:46:37,799
Speaker 2: So you literally just had the one horn on the

849
00:46:37,800 --> 00:46:38,400
Speaker 2: one side.

850
00:46:38,680 --> 00:46:40,719
Speaker 3: There's a tiny little nub on the other side.

851
00:46:41,320 --> 00:46:43,799
Speaker 2: Did that thing have any teeth left in its head?

852
00:46:43,960 --> 00:46:44,400
Speaker 1: Barely?

853
00:46:44,680 --> 00:46:46,960
Speaker 6: No, I'm dying to see how old he is. Send

854
00:46:47,040 --> 00:46:49,240
Speaker 6: him in to get well.

855
00:46:49,160 --> 00:46:51,920
Speaker 1: Did you send in a tooth to the lab here?

856
00:46:51,920 --> 00:46:52,279
Speaker 1: And yeah?

857
00:46:52,360 --> 00:46:54,440
Speaker 6: It takes about eight months though, so you'll find out

858
00:46:54,800 --> 00:46:56,600
Speaker 6: more to come on that one. But that was pretty

859
00:46:56,600 --> 00:46:58,120
Speaker 6: special to have my son there with h Yeah.

860
00:46:58,239 --> 00:46:59,320
Speaker 1: Yeah, cool.

861
00:46:59,520 --> 00:47:00,759
Speaker 2: Cal do you got for us?

862
00:47:00,800 --> 00:47:03,200
Speaker 1: That eight month waiting period for old Marshall is going

863
00:47:03,280 --> 00:47:03,680
Speaker 1: to be tough.

864
00:47:03,760 --> 00:47:09,640
Speaker 3: I know he's already forgot that probably is, yeah, easily, Yeah,

865
00:47:09,640 --> 00:47:11,279
Speaker 3: I'm hoping. Yeah, I'm guessing eight or nine.

866
00:47:11,400 --> 00:47:11,600
Speaker 2: Yeah.

867
00:47:14,360 --> 00:47:17,160
Speaker 1: I had a great hunting adventures this year. Obviously, there's

868
00:47:17,160 --> 00:47:20,239
Speaker 1: a big brown bear in Alaska which was great when

869
00:47:20,239 --> 00:47:22,359
Speaker 1: we talked about that a bunch and I just wanted

870
00:47:22,400 --> 00:47:24,920
Speaker 1: to hit since we're coming to the end of the season.

871
00:47:26,520 --> 00:47:29,799
Speaker 1: I get is depressing, but I get a lot of

872
00:47:29,840 --> 00:47:34,040
Speaker 1: people who write in and tell me how bad hunting is.

873
00:47:35,480 --> 00:47:40,920
Speaker 2: Hard, there's no animals anywhere, too many people and why bother.

874
00:47:41,360 --> 00:47:47,440
Speaker 1: I spend the vast, vast, vast majority of my time

875
00:47:47,880 --> 00:47:55,480
Speaker 1: on public lamp and my secret to success is just trying.

876
00:47:56,320 --> 00:48:00,239
Speaker 1: Like that's all that all, Like it's that simple. I

877
00:48:00,320 --> 00:48:04,040
Speaker 1: see spots that I've never hunted before, and I just go, Yep,

878
00:48:04,480 --> 00:48:06,839
Speaker 1: probably nothing here, but we're gonna give it a shot.

879
00:48:06,920 --> 00:48:07,000
Speaker 4: Ye.

880
00:48:08,320 --> 00:48:11,680
Speaker 1: And that's just once you pull the band aid off

881
00:48:11,760 --> 00:48:13,239
Speaker 1: of like, well, I gotta go to the place that

882
00:48:13,280 --> 00:48:16,440
Speaker 1: I know, a whole new world opens up to you.

883
00:48:16,680 --> 00:48:18,719
Speaker 1: And you know, if a bunch of people dump into

884
00:48:18,719 --> 00:48:22,440
Speaker 1: your spot and your choices of finding something new or

885
00:48:22,800 --> 00:48:29,160
Speaker 1: pissing and moaning and go find something new, go ruin

886
00:48:29,239 --> 00:48:30,280
Speaker 1: somebody else's spot.

887
00:48:31,680 --> 00:48:32,600
Speaker 5: Yeah, that's the thing.

888
00:48:32,680 --> 00:48:35,120
Speaker 2: Man, Like, if you're griping about too many trucks at

889
00:48:35,160 --> 00:48:38,040
Speaker 2: the trailhead in your park, there, guess what those other

890
00:48:38,080 --> 00:48:41,120
Speaker 2: people are doing griping about your truck being there? No doubt.

891
00:48:41,880 --> 00:48:48,320
Speaker 1: Yeah. So this this picture that Phil is going to

892
00:48:48,360 --> 00:48:54,440
Speaker 1: pop up is from one of these times whereas driving

893
00:48:54,520 --> 00:48:58,360
Speaker 1: it was getting close to end a shooting light, is

894
00:48:58,400 --> 00:49:02,680
Speaker 1: a cold, snowy day, and here I'm looking at this

895
00:49:02,800 --> 00:49:06,319
Speaker 1: river bottom or creek bottom, and I'm like, dang, that's

896
00:49:06,360 --> 00:49:09,239
Speaker 1: good looking pheasant. Wish some lucky son of a gun

897
00:49:09,600 --> 00:49:11,880
Speaker 1: out there, and you know, knock on a door maybe

898
00:49:11,960 --> 00:49:18,840
Speaker 1: I don't know. And there's this little chunk of public

899
00:49:18,920 --> 00:49:23,040
Speaker 1: land that attaches to the highway, just this place where

900
00:49:23,080 --> 00:49:27,000
Speaker 1: you'd be like, there's no way there's any birds here

901
00:49:27,040 --> 00:49:29,640
Speaker 1: at this point in the season, maybe opening day type

902
00:49:29,640 --> 00:49:35,080
Speaker 1: of thing. But swung off, grabbed the dog and Snort

903
00:49:35,160 --> 00:49:39,040
Speaker 1: and I at a very fast pace went to go

904
00:49:39,200 --> 00:49:42,840
Speaker 1: check this place out and cut a pheasant track. We

905
00:49:42,960 --> 00:49:46,839
Speaker 1: followed it, and all of a sudden, like I was

906
00:49:46,920 --> 00:49:49,480
Speaker 1: so surprised, I did everything I could not to shoot

907
00:49:49,480 --> 00:49:52,560
Speaker 1: this bird because I got the gun over my shoulder,

908
00:49:52,680 --> 00:49:55,000
Speaker 1: was just like not in the game at all, and

909
00:49:55,160 --> 00:49:58,400
Speaker 1: just barely caught this this rooster that Snort had flushed

910
00:49:58,840 --> 00:50:01,480
Speaker 1: flying over the hillside, was lucky enough to get him.

911
00:50:02,040 --> 00:50:07,640
Speaker 1: And I celebrated the moment in a very unseerious pheasant

912
00:50:07,719 --> 00:50:10,359
Speaker 1: hunting way by taking a picture of the dog and'd

913
00:50:10,360 --> 00:50:12,080
Speaker 1: be like, God, how cool is this? And then we

914
00:50:12,280 --> 00:50:17,480
Speaker 1: flushed another rooster right after this, after talking and taking

915
00:50:17,520 --> 00:50:23,040
Speaker 1: pictures and laughing and obviously that shotgun going off, and

916
00:50:23,080 --> 00:50:26,919
Speaker 1: fifty yards later flushed another rooster, got that bird because

917
00:50:26,920 --> 00:50:33,320
Speaker 1: I was prepared, And then we walked in serpentine fashion

918
00:50:33,480 --> 00:50:39,279
Speaker 1: five more miles, never found another pheasant track at all.

919
00:50:40,280 --> 00:50:42,439
Speaker 1: So we were just the right place at the right time,

920
00:50:42,480 --> 00:50:45,000
Speaker 1: and it never would have happened had we not just

921
00:50:45,120 --> 00:50:46,239
Speaker 1: tried something.

922
00:50:45,960 --> 00:50:49,240
Speaker 5: New Amen col amen.

923
00:50:49,160 --> 00:50:52,760
Speaker 6: Spot that maybe was overlooked days before, you know, yeah,

924
00:50:52,960 --> 00:50:57,160
Speaker 6: exactly so, And it's just yeah, like.

925
00:50:57,320 --> 00:51:02,479
Speaker 1: Those two birds are way better than shooting a limit

926
00:51:02,480 --> 00:51:05,480
Speaker 1: of birds on Like it would have been a win

927
00:51:05,640 --> 00:51:07,960
Speaker 1: to go out there and flush a bird right right,

928
00:51:08,000 --> 00:51:08,720
Speaker 1: So cool.

929
00:51:09,040 --> 00:51:16,239
Speaker 2: Yeah, guess at least me, my favorite hunt of the

930
00:51:16,280 --> 00:51:18,120
Speaker 2: year is always going to be like the youth deer

931
00:51:18,160 --> 00:51:20,600
Speaker 2: hunt with all all the kids and all the family,

932
00:51:22,320 --> 00:51:24,920
Speaker 2: But like I also like to get in, you know,

933
00:51:25,000 --> 00:51:29,040
Speaker 2: a solo hunt now and then, and uh, this year

934
00:51:30,040 --> 00:51:32,400
Speaker 2: we got we got it going, phil This year I

935
00:51:32,880 --> 00:51:38,560
Speaker 2: drew a Colorado mule deer bock tag and it was

936
00:51:38,600 --> 00:51:42,800
Speaker 2: in November. And for anyone's who's never experienced a really

937
00:51:42,840 --> 00:51:46,160
Speaker 2: good uh mule deer rut hunt, it's it's pretty special.

938
00:51:47,280 --> 00:51:51,480
Speaker 2: During a typical white tail rut hunt, especially if you're

939
00:51:51,600 --> 00:51:54,640
Speaker 2: archery hunt in the woods, usually only get to experience

940
00:51:54,680 --> 00:51:57,399
Speaker 2: it in like flashes, right, like here comes a buck,

941
00:51:57,480 --> 00:52:01,279
Speaker 2: Jason Adoe, and then he's gone. But in like more

942
00:52:01,360 --> 00:52:05,239
Speaker 2: open mule deer country, like when the rut's going, like

943
00:52:05,320 --> 00:52:09,000
Speaker 2: you get just like kick back and watch the show

944
00:52:09,200 --> 00:52:13,240
Speaker 2: and it's amazing, like just watching bucks push does, watching

945
00:52:13,320 --> 00:52:18,200
Speaker 2: bucks push other bucks around, and that's what this day. Well,

946
00:52:18,239 --> 00:52:20,920
Speaker 2: that's what happened on this day. We just like hit

947
00:52:21,000 --> 00:52:26,279
Speaker 2: it right. That's my buddy Dan, And like pretty much

948
00:52:26,320 --> 00:52:28,680
Speaker 2: from first light on we were looking at ruddy bucks

949
00:52:28,719 --> 00:52:31,920
Speaker 2: cruising around solo or looking for does or bucks that

950
00:52:31,960 --> 00:52:36,200
Speaker 2: were chasing does. And Dan killed this buck like maybe

951
00:52:36,280 --> 00:52:40,600
Speaker 2: an hour after shooting light started. We'd already glassed up

952
00:52:40,680 --> 00:52:42,920
Speaker 2: two other bucks and we're like which one should we

953
00:52:42,960 --> 00:52:45,600
Speaker 2: go after? How should we go after them? And then

954
00:52:46,080 --> 00:52:49,279
Speaker 2: that buck like it's just like there in front of us,

955
00:52:49,320 --> 00:52:53,399
Speaker 2: two hundred yards away, and and Dan was like, yeah, man,

956
00:52:54,320 --> 00:52:58,799
Speaker 2: shoot that one. So he killed that buck. We got

957
00:52:58,840 --> 00:53:01,440
Speaker 2: him cut up and stuff that meet up in a

958
00:53:01,560 --> 00:53:06,440
Speaker 2: juniper and kept hunting all day and pretty much all

959
00:53:06,520 --> 00:53:09,319
Speaker 2: day long we were like looking at bucks. It was

960
00:53:09,520 --> 00:53:11,800
Speaker 2: like amazing, Like it was a warm day, like it

961
00:53:11,840 --> 00:53:14,440
Speaker 2: was cold here in the morning, but warm day, but

962
00:53:14,600 --> 00:53:17,640
Speaker 2: didn't matter. There's still like deer out bucks looking at

963
00:53:17,680 --> 00:53:21,239
Speaker 2: dose all day long. And I guess about it would

964
00:53:21,239 --> 00:53:25,640
Speaker 2: have been about like an hour and a half before.

965
00:53:26,760 --> 00:53:27,080
Speaker 1: Dark.

966
00:53:27,360 --> 00:53:35,840
Speaker 2: I found this buck, glassed him up, and uh that

967
00:53:35,840 --> 00:53:39,560
Speaker 2: that deer was. That buck was like obviously you got

968
00:53:39,600 --> 00:53:42,600
Speaker 2: the picture film there he is like that buck was

969
00:53:42,640 --> 00:53:44,799
Speaker 2: like like he's not a big scorn buck, but like

970
00:53:44,920 --> 00:53:48,080
Speaker 2: he was the freaking man, like he had all the does.

971
00:53:48,320 --> 00:53:52,480
Speaker 2: He was chasing other bucks around, keeping him away from

972
00:53:52,480 --> 00:53:56,239
Speaker 2: those does, and like after watching him for an hour,

973
00:53:56,280 --> 00:54:01,279
Speaker 2: I'm like, yeah, he's the one. And part of the

974
00:54:01,280 --> 00:54:03,960
Speaker 2: thing that that gets me going like on whether I'm

975
00:54:03,960 --> 00:54:06,520
Speaker 2: gonna shoot a buck or not is not necessarily the antlers.

976
00:54:06,560 --> 00:54:09,560
Speaker 2: It's like when you're looking at a buck that's twice

977
00:54:09,640 --> 00:54:12,200
Speaker 2: the size of the dose that he's hanging out with,

978
00:54:12,480 --> 00:54:15,440
Speaker 2: like literally twice the size, Like you're looking at a

979
00:54:15,480 --> 00:54:18,239
Speaker 2: good one no matter what his antlers look like and

980
00:54:18,680 --> 00:54:23,600
Speaker 2: that was this buck. So ended up doing a pretty

981
00:54:23,600 --> 00:54:26,680
Speaker 2: steep downhill stock got to four hundred yards, ran out

982
00:54:26,719 --> 00:54:30,160
Speaker 2: of cover and shot him and killed him. It was

983
00:54:30,239 --> 00:54:32,279
Speaker 2: cool because the deer never knew I was there and

984
00:54:32,320 --> 00:54:36,400
Speaker 2: I killed him instantly. But we walked down like I

985
00:54:36,400 --> 00:54:38,839
Speaker 2: had a good landmark on what like that deer just

986
00:54:38,920 --> 00:54:42,000
Speaker 2: disappeared out of the scope. And when I asked Dan

987
00:54:42,080 --> 00:54:43,000
Speaker 2: what happened, He's.

988
00:54:42,880 --> 00:54:43,400
Speaker 1: Like, I don't know.

989
00:54:43,480 --> 00:54:47,400
Speaker 2: I and the deer's just not there, and You're like,

990
00:54:47,480 --> 00:54:50,920
Speaker 2: that's not your down. So we get down there and

991
00:54:50,960 --> 00:54:53,239
Speaker 2: it's like getting on towards dark and I'm like he

992
00:54:53,360 --> 00:54:55,280
Speaker 2: was right in front of there was like a lone

993
00:54:55,560 --> 00:54:57,279
Speaker 2: pinion pine and it was like he was standing right

994
00:54:57,320 --> 00:54:58,920
Speaker 2: in front of that. Get down there.

995
00:54:58,960 --> 00:55:03,680
Speaker 5: I'm like, man, not a track, no blood, no hair,

996
00:55:04,600 --> 00:55:05,000
Speaker 5: Like you.

997
00:55:04,920 --> 00:55:07,479
Speaker 2: Start panicking, you know, because I'm like, if he ran,

998
00:55:07,600 --> 00:55:10,640
Speaker 2: he ran this way, went down that way, no tracks,

999
00:55:10,640 --> 00:55:13,440
Speaker 2: no hair, And I'm like, I'll fully admit, Like I

1000
00:55:13,480 --> 00:55:14,200
Speaker 2: started swearing.

1001
00:55:14,239 --> 00:55:16,960
Speaker 5: I'm like, damn, what what the heck?

1002
00:55:17,320 --> 00:55:17,839
Speaker 4: My job?

1003
00:55:20,440 --> 00:55:22,160
Speaker 2: And then I go back to where I'm like, this

1004
00:55:22,200 --> 00:55:24,839
Speaker 2: is where he was standing, and I like, I.

1005
00:55:24,760 --> 00:55:25,880
Speaker 5: Don't know why I didn't do it.

1006
00:55:25,920 --> 00:55:26,320
Speaker 2: Earlier.

1007
00:55:26,360 --> 00:55:28,400
Speaker 5: But I turned my head of the right, he's like

1008
00:55:28,560 --> 00:55:30,000
Speaker 5: ten feet away the.

1009
00:55:30,160 --> 00:55:32,839
Speaker 1: Tenor and a doorn like and then you're like, I

1010
00:55:32,880 --> 00:55:37,200
Speaker 1: am too old to let panic d my decision making exactly.

1011
00:55:37,440 --> 00:55:40,640
Speaker 2: But it was a long day man, like well before

1012
00:55:40,719 --> 00:55:44,480
Speaker 2: dark to well after dark, a lot of miles, big packouts,

1013
00:55:44,560 --> 00:55:46,080
Speaker 2: and it was just a great hot.

1014
00:55:45,880 --> 00:55:48,640
Speaker 1: Heck yeah, man, beautiful buck, Yeah, super cool.

1015
00:55:48,880 --> 00:55:50,239
Speaker 3: You can see the fat rolls on him.

1016
00:55:50,280 --> 00:55:51,120
Speaker 5: Just oh yeah, shank.

1017
00:55:51,600 --> 00:55:55,080
Speaker 2: Those those Colorado bucks that can spend the summer up

1018
00:55:55,120 --> 00:55:57,879
Speaker 2: above tree line and then migrate down a good winter range.

1019
00:55:57,920 --> 00:56:01,879
Speaker 2: Like they're huge. They're huge deer, like, you know, two

1020
00:56:01,880 --> 00:56:04,840
Speaker 2: inches of fat on the back, like pushing three hundred pounds.

1021
00:56:04,920 --> 00:56:08,440
Speaker 2: I'm guessing. So yeah, that was that was a real

1022
00:56:08,480 --> 00:56:13,080
Speaker 2: good hunt this year, I guess, Phil. Do you just

1023
00:56:13,120 --> 00:56:16,280
Speaker 2: want to like how much how much time you brody?

1024
00:56:16,280 --> 00:56:18,040
Speaker 2: I mean, we're we're almost at an hour right now,

1025
00:56:18,120 --> 00:56:21,160
Speaker 2: So let's just do this first one to err pick

1026
00:56:21,200 --> 00:56:21,640
Speaker 2: some questions.

1027
00:56:21,680 --> 00:56:23,560
Speaker 5: Yeah, we'll do what's We'll just do one.

1028
00:56:24,280 --> 00:56:26,520
Speaker 2: We're gonna do a little fan Q and a section

1029
00:56:26,680 --> 00:56:30,719
Speaker 2: in lieu of the live chat with our listeners, and

1030
00:56:30,920 --> 00:56:34,960
Speaker 2: uh this one. Uh. The guy's name is a j

1031
00:56:35,960 --> 00:56:39,120
Speaker 2: I forget his last name. He sent in an email.

1032
00:56:39,239 --> 00:56:42,160
Speaker 2: It's a little long, but it's pretty juicy, so so

1033
00:56:42,239 --> 00:56:45,680
Speaker 2: bear with me. I'm gonna read it. My wife's college

1034
00:56:45,760 --> 00:56:48,400
Speaker 2: roommate is married to a guy who asked to go

1035
00:56:48,520 --> 00:56:51,960
Speaker 2: deer hunting with me every season. On paper, it should

1036
00:56:51,960 --> 00:56:54,600
Speaker 2: be perfect. He lives near great public Land. Our kids

1037
00:56:54,640 --> 00:56:57,080
Speaker 2: get along and it's become an annual trip north to

1038
00:56:57,160 --> 00:57:01,000
Speaker 2: visit them. The problem is his idea of hunting couldn't

1039
00:57:01,000 --> 00:57:04,200
Speaker 2: be further from mine. He rode hunts almost exclusively, shoot

1040
00:57:04,239 --> 00:57:07,480
Speaker 2: steer from the truck, target spawns on purpose.

1041
00:57:07,080 --> 00:57:08,719
Speaker 5: And only takes headshots.

1042
00:57:09,280 --> 00:57:11,560
Speaker 2: I've made it clear I won't shoot from the road

1043
00:57:11,680 --> 00:57:14,760
Speaker 2: or hunt that way. Even so he insists on helping

1044
00:57:14,800 --> 00:57:17,360
Speaker 2: me get one. He pressures me to stay in the

1045
00:57:17,400 --> 00:57:19,880
Speaker 2: truck and keeps telling me I don't need to unload

1046
00:57:19,920 --> 00:57:22,080
Speaker 2: my gun when we get in the truck. If I

1047
00:57:22,160 --> 00:57:24,640
Speaker 2: say I want to hunt alone, he takes it personally.

1048
00:57:24,840 --> 00:57:27,920
Speaker 2: I end up spending most of the weekend riding around

1049
00:57:28,040 --> 00:57:31,320
Speaker 2: instead of actually hunting. This is where it gets real good.

1050
00:57:33,720 --> 00:57:37,200
Speaker 2: To complicate things further, my wife already dislikes him due

1051
00:57:37,200 --> 00:57:40,000
Speaker 2: to him cheating on his wife. Shortly after they were married.

1052
00:57:40,480 --> 00:57:42,760
Speaker 2: I don't want to interfere with my wife's friendship with

1053
00:57:42,800 --> 00:57:45,720
Speaker 2: her former roommate. But we're both on the same page

1054
00:57:45,760 --> 00:57:51,240
Speaker 2: that we don't like him. YadA YadA there curious the

1055
00:57:51,360 --> 00:57:55,280
Speaker 2: question is, so, my question is, how do you handle

1056
00:57:55,320 --> 00:57:59,440
Speaker 2: someone whose ethics fundamentally clash with yours, especially when family

1057
00:57:59,600 --> 00:58:03,240
Speaker 2: and friends are involved. What's the line between being polite

1058
00:58:03,680 --> 00:58:07,200
Speaker 2: and enabling behavior that gives hunting a bad name?

1059
00:58:07,480 --> 00:58:07,680
Speaker 7: Man?

1060
00:58:08,040 --> 00:58:12,959
Speaker 2: Like, I understand the dilemma of like the wife friendship here,

1061
00:58:13,040 --> 00:58:17,000
Speaker 2: but other than that, this is like very simple. Uh,

1062
00:58:17,440 --> 00:58:20,440
Speaker 2: you're talking about a guy who's hunting illegally and unethically,

1063
00:58:21,120 --> 00:58:24,960
Speaker 2: not to mention being a cheating scumbag, So like you

1064
00:58:25,120 --> 00:58:27,960
Speaker 2: just gotta cut ties and not worry about being polite.

1065
00:58:28,000 --> 00:58:31,600
Speaker 2: I don't know if you guys have anything more.

1066
00:58:31,400 --> 00:58:35,040
Speaker 1: To add, but like pretty cut the email.

1067
00:58:35,160 --> 00:58:38,360
Speaker 2: He's basically trying to convince himself that this what's what

1068
00:58:38,600 --> 00:58:40,880
Speaker 2: is what he needs to do. I think like he's

1069
00:58:40,920 --> 00:58:44,280
Speaker 2: talking himself through it and just needs like gentle push

1070
00:58:44,320 --> 00:58:51,040
Speaker 2: to be like no more. Yeah, yeah, so AJ like

1071
00:58:51,360 --> 00:58:55,040
Speaker 2: get rid of him, don't get drugged down buddy. Yeah yeah,

1072
00:58:55,160 --> 00:58:59,080
Speaker 2: it sounds like you like you already have some good

1073
00:58:59,160 --> 00:59:03,680
Speaker 2: morals and around hunting, and it's just like not worth

1074
00:59:03,720 --> 00:59:04,760
Speaker 2: being around that guy.

1075
00:59:04,960 --> 00:59:08,240
Speaker 1: I will say, the only defensible thing here is there's

1076
00:59:08,240 --> 00:59:09,440
Speaker 1: nothing wrong with shooting fonts.

1077
00:59:10,000 --> 00:59:11,840
Speaker 5: No, there's nothing wrong with shooting fonds.

1078
00:59:13,200 --> 00:59:15,920
Speaker 2: But you know, if you're doing it leaning out of

1079
00:59:15,960 --> 00:59:19,120
Speaker 2: a truck with running truck, then then it's a problem.

1080
00:59:19,760 --> 00:59:20,080
Speaker 1: Yes.

1081
00:59:21,360 --> 00:59:24,040
Speaker 2: So yeah, I didn't figure you guys would would have

1082
00:59:24,120 --> 00:59:26,080
Speaker 2: a whole lot to say, but I felt like AJ

1083
00:59:26,400 --> 00:59:29,480
Speaker 2: really needed a friendly push in the right direction.

1084
00:59:31,320 --> 00:59:35,160
Speaker 1: Yeah, nowhere to go, but up, buddy, We're gonna do

1085
00:59:35,200 --> 00:59:36,320
Speaker 1: another one film, Okay.

1086
00:59:36,400 --> 00:59:40,000
Speaker 2: And also I do think, just partially because Nick already

1087
00:59:40,000 --> 00:59:41,840
Speaker 2: made the thumbnail and the title is at the stone,

1088
00:59:41,880 --> 00:59:44,040
Speaker 2: I think it would be good if we hit on

1089
00:59:44,400 --> 00:59:46,240
Speaker 2: just some brief New Year's resolutions.

1090
00:59:46,680 --> 00:59:47,800
Speaker 5: Oh yeah, we're gonna do that.

1091
00:59:47,960 --> 00:59:48,920
Speaker 1: Okay, great that that.

1092
00:59:49,080 --> 00:59:49,920
Speaker 2: Yeah, we'll get there.

1093
00:59:52,800 --> 00:59:53,120
Speaker 1: We can.

1094
00:59:53,280 --> 00:59:57,080
Speaker 2: Let's move on, all right, because we're using up a

1095
00:59:57,120 --> 00:59:59,280
Speaker 2: lot of time. We're gonna do our Cal interview. Is

1096
00:59:59,280 --> 01:00:03,160
Speaker 2: that good, pil? Can we move on all right? Uh?

1097
01:00:03,520 --> 01:00:03,880
Speaker 1: Okay?

1098
01:00:04,960 --> 01:00:07,520
Speaker 2: For our next interview, we've got our very own Cal,

1099
01:00:07,600 --> 01:00:11,480
Speaker 2: the conservation Man Callahan. As as most of you hopefully know,

1100
01:00:11,600 --> 01:00:16,760
Speaker 2: Cal is officially the new CEO of Backcountry Hunters and Anglers.

1101
01:00:17,080 --> 01:00:19,760
Speaker 2: He's gonna continue doing some cal stuff for Meat Eater

1102
01:00:19,880 --> 01:00:23,000
Speaker 2: on a part time basis, but he's gonna have his

1103
01:00:23,080 --> 01:00:26,240
Speaker 2: hands full at BHA and this may be his last

1104
01:00:26,360 --> 01:00:29,280
Speaker 2: appearance on Radio Live. So this whole thing is kind

1105
01:00:29,280 --> 01:00:34,680
Speaker 2: of like a bittersweet farewell cal First off, congratulations, Yeah, Oh,

1106
01:00:35,280 --> 01:00:38,680
Speaker 2: I don't think BHA could have chosen a better person

1107
01:00:38,760 --> 01:00:40,680
Speaker 2: for the job than you. But I got to know

1108
01:00:40,720 --> 01:00:43,600
Speaker 2: it is that like that CEO title making you a

1109
01:00:43,640 --> 01:00:44,360
Speaker 2: little nervous.

1110
01:00:44,880 --> 01:00:49,000
Speaker 1: Oh my god, the things I don't know, you know,

1111
01:00:49,280 --> 01:00:55,920
Speaker 1: like that's not the there's no motivation there to be

1112
01:00:56,280 --> 01:01:00,400
Speaker 1: a CEO. There's a lot of motivation to just like

1113
01:01:00,480 --> 01:01:04,680
Speaker 1: fully embrace the things that I that that motivate me, right.

1114
01:01:05,280 --> 01:01:06,600
Speaker 2: And a whole bunch of other people.

1115
01:01:07,520 --> 01:01:11,840
Speaker 1: Yeah, and this, Yeah, I was asked would be like

1116
01:01:11,880 --> 01:01:16,600
Speaker 1: the simplest way, like why'd you do it? Well, they asked, right, Yeah,

1117
01:01:17,840 --> 01:01:23,959
Speaker 1: And so I'm I'm very very excited. Yeah, And I'm

1118
01:01:24,000 --> 01:01:27,640
Speaker 1: just like gung ho to like be able to just

1119
01:01:27,680 --> 01:01:33,520
Speaker 1: like fully embrace, you know, this big thing that's been

1120
01:01:33,520 --> 01:01:35,080
Speaker 1: a big part of my life that I've kind of

1121
01:01:35,120 --> 01:01:39,360
Speaker 1: been like moonlighting in for a long time as a volunteer,

1122
01:01:39,960 --> 01:01:46,280
Speaker 1: So super stoked there. And then the meat eater side

1123
01:01:46,280 --> 01:01:53,720
Speaker 1: of things is going you know, to continue hosting the podcast,

1124
01:01:54,360 --> 01:01:58,920
Speaker 1: doing some some video work and you know that's going

1125
01:01:59,000 --> 01:02:01,919
Speaker 1: to be like a supportive role, which is pretty darn

1126
01:02:02,080 --> 01:02:03,720
Speaker 1: amazing to be able to do that.

1127
01:02:04,240 --> 01:02:10,360
Speaker 2: So cool. Can we expect anything different from BHA with

1128
01:02:10,360 --> 01:02:12,000
Speaker 2: with you at leading them?

1129
01:02:13,360 --> 01:02:17,080
Speaker 1: I you know, that's an interesting question. So it's a

1130
01:02:17,160 --> 01:02:25,120
Speaker 1: it's a membership chapter model, non partisan organization. I think

1131
01:02:25,960 --> 01:02:31,920
Speaker 1: the need in the conservation space is like true representation

1132
01:02:32,400 --> 01:02:36,200
Speaker 1: of you know, like folks like us in this room, right,

1133
01:02:36,280 --> 01:02:43,000
Speaker 1: Like a lot of conservation is the speak is aimed

1134
01:02:43,240 --> 01:02:48,800
Speaker 1: at folks with with big money and deep pockets that

1135
01:02:48,880 --> 01:02:51,560
Speaker 1: want to give and like we definitely need some of that, sure,

1136
01:02:51,880 --> 01:02:56,240
Speaker 1: but the goal, my dream is to have like you know,

1137
01:02:56,360 --> 01:03:03,000
Speaker 1: the rank and file folks that go out and do

1138
01:03:03,080 --> 01:03:08,720
Speaker 1: this stuff, the end user of public lands. Yeah, you

1139
01:03:08,760 --> 01:03:15,520
Speaker 1: know represented. Well, we're in a lot of conservation pickles

1140
01:03:15,600 --> 01:03:18,320
Speaker 1: right now, because it's like I swear to god, people

1141
01:03:18,520 --> 01:03:22,400
Speaker 1: at the very top are working off of like public

1142
01:03:22,480 --> 01:03:28,400
Speaker 1: land theory. Well we've been told, right you people like

1143
01:03:28,520 --> 01:03:30,520
Speaker 1: these things right.

1144
01:03:30,280 --> 01:03:32,800
Speaker 5: Well, let's let's get into those people at the top.

1145
01:03:32,920 --> 01:03:34,920
Speaker 2: I want to read you a quote from an article

1146
01:03:34,920 --> 01:03:38,600
Speaker 2: that popped up in my feed this morning. Earlier this year,

1147
01:03:38,760 --> 01:03:43,040
Speaker 2: Utah Senator Mike Lee's efforts to slip permission for federal

1148
01:03:43,120 --> 01:03:48,240
Speaker 2: lands selloff into a Senate Republican's budget reconciliation bill failed

1149
01:03:48,320 --> 01:03:53,320
Speaker 2: after outrage sisms forced him to withdraw the proposal. On Monday,

1150
01:03:53,400 --> 01:03:57,720
Speaker 2: December fifteenth, Lee launched another gambit to sell or transfer

1151
01:03:57,760 --> 01:04:01,480
Speaker 2: your public lands to private interests by adding amendments to

1152
01:04:01,520 --> 01:04:06,440
Speaker 2: the Department of Defense Appropriations Act, which the US Senate

1153
01:04:06,520 --> 01:04:11,720
Speaker 2: is now considering. Lee's ployees disguised by complex legalese, but

1154
01:04:12,040 --> 01:04:15,360
Speaker 2: if it is adopted, the effect would be to eliminate

1155
01:04:15,400 --> 01:04:18,800
Speaker 2: the legal language that requires the Department of the Interior

1156
01:04:18,920 --> 01:04:23,760
Speaker 2: to protect public lands, national parks, historic trails, wild and

1157
01:04:24,160 --> 01:04:29,560
Speaker 2: wild and scenic rivers, et cetera, et cetera. I imagine

1158
01:04:29,600 --> 01:04:32,240
Speaker 2: you're going to be spending a little more time in Washington,

1159
01:04:32,360 --> 01:04:35,640
Speaker 2: d C. So if you were to run into Senator

1160
01:04:35,720 --> 01:04:38,160
Speaker 2: Mike Lee and a bar, what would you say to him?

1161
01:04:38,640 --> 01:04:41,680
Speaker 1: I would say, thank you for putting together such a

1162
01:04:42,920 --> 01:04:48,120
Speaker 1: perfectly public list of working against the wishes and best

1163
01:04:48,200 --> 01:04:51,320
Speaker 1: interests of the American people. It's like he's writing his

1164
01:04:51,400 --> 01:04:55,200
Speaker 1: own resignation letter. It's like if you're dealing with a

1165
01:04:55,600 --> 01:05:02,800
Speaker 1: bad employee, because of all the laws of protecting employees

1166
01:05:03,040 --> 01:05:05,600
Speaker 1: with employers and things like that, it can be kind

1167
01:05:05,600 --> 01:05:11,960
Speaker 1: of hard to fire people for cause, but it shouldn't be. Yeah,

1168
01:05:11,960 --> 01:05:16,440
Speaker 1: and this guy's like, i'd say, thank you, senator, Like

1169
01:05:17,520 --> 01:05:22,480
Speaker 1: you are an obstinate employee that has gone rogue and

1170
01:05:22,520 --> 01:05:26,560
Speaker 1: you are publicly working against the best interest of the

1171
01:05:26,560 --> 01:05:30,440
Speaker 1: American people. Yeah, thank you for filling out the paperwork

1172
01:05:30,480 --> 01:05:35,320
Speaker 1: for us. Really, and so like what's I don't know

1173
01:05:35,320 --> 01:05:37,920
Speaker 1: if you guys get like hear my phone blowing up,

1174
01:05:37,960 --> 01:05:41,040
Speaker 1: but it's over what is going on right now? And

1175
01:05:41,080 --> 01:05:47,240
Speaker 1: it is this, you know, it's complicated, like backdoor dealing

1176
01:05:47,800 --> 01:05:53,120
Speaker 1: where he submitted amendments at like the very much eleventh

1177
01:05:53,320 --> 01:06:03,520
Speaker 1: hour to this appropriations process that was largely getting wrapped up.

1178
01:06:04,040 --> 01:06:06,800
Speaker 1: So again, he's not making friends with a bunch of people.

1179
01:06:08,240 --> 01:06:12,200
Speaker 2: There's probably even people in his own party are like

1180
01:06:12,320 --> 01:06:13,520
Speaker 2: really again.

1181
01:06:13,440 --> 01:06:15,680
Speaker 1: The people within his own party, the people within the

1182
01:06:15,720 --> 01:06:20,520
Speaker 1: committees that he works on, like he is just working

1183
01:06:21,400 --> 01:06:25,800
Speaker 1: against people. Like nothing's ever easy because like if there's

1184
01:06:25,800 --> 01:06:28,200
Speaker 1: a compliment I can give. This guy's like he's a zealot,

1185
01:06:28,360 --> 01:06:34,160
Speaker 1: Like he's he truly believes, beyond the wishes of anybody,

1186
01:06:35,280 --> 01:06:39,360
Speaker 1: that we should own public land. We shouldn't have public land,

1187
01:06:39,400 --> 01:06:41,560
Speaker 1: we shouldn't have the freedoms that we get to enjoy

1188
01:06:41,640 --> 01:06:46,120
Speaker 1: on public land. Why that is we will likely never know,

1189
01:06:46,960 --> 01:06:53,800
Speaker 1: but and it is just it's just like this death

1190
01:06:53,840 --> 01:06:56,160
Speaker 1: of a thousand cuts like type of thing. Well, if

1191
01:06:56,200 --> 01:06:59,800
Speaker 1: I can get a little win here with this amendment,

1192
01:07:00,520 --> 01:07:02,640
Speaker 1: and then that'll stack up to this other little wind

1193
01:07:02,680 --> 01:07:05,000
Speaker 1: and this other little wind, and it's just going to

1194
01:07:05,040 --> 01:07:08,400
Speaker 1: be easier. Because the other thing that he's doing right now,

1195
01:07:08,640 --> 01:07:12,720
Speaker 1: right is there's like twenty or twenty five acres in

1196
01:07:12,760 --> 01:07:17,120
Speaker 1: brian Head, Utah that the little municipality there Brian Head

1197
01:07:17,200 --> 01:07:23,760
Speaker 1: would love to use this public land for the municipality.

1198
01:07:24,040 --> 01:07:27,480
Speaker 1: There's all these systems in place where we the American people,

1199
01:07:27,520 --> 01:07:30,960
Speaker 1: can facilitate that. Right. We can lease that land to

1200
01:07:31,000 --> 01:07:35,240
Speaker 1: the municipality and retain ownership, and then we the American people,

1201
01:07:35,280 --> 01:07:42,360
Speaker 1: get to use those lease fees for the maintenance or

1202
01:07:42,480 --> 01:07:43,800
Speaker 1: creating new public.

1203
01:07:43,560 --> 01:07:45,439
Speaker 2: Land, do a land swap or something.

1204
01:07:45,600 --> 01:07:50,880
Speaker 1: There's a land swap. There's the sale through the Federal

1205
01:07:50,920 --> 01:07:55,800
Speaker 1: Land Policy Management Act where the revenue from that sale

1206
01:07:55,840 --> 01:08:00,520
Speaker 1: gets used to get public land of higher value. All

1207
01:08:00,560 --> 01:08:07,080
Speaker 1: these things that are within the Congress of the United States,

1208
01:08:07,080 --> 01:08:07,920
Speaker 1: We the people.

1209
01:08:07,720 --> 01:08:09,920
Speaker 2: They're existing levers that can be pulled.

1210
01:08:10,080 --> 01:08:12,920
Speaker 1: Yep, and the people of brian Head, Utah can get

1211
01:08:12,960 --> 01:08:16,559
Speaker 1: what they want and it doesn't short change the rest

1212
01:08:16,560 --> 01:08:16,800
Speaker 1: of us.

1213
01:08:16,960 --> 01:08:17,160
Speaker 5: Yeah.

1214
01:08:17,479 --> 01:08:20,280
Speaker 1: However, Lee doesn't want to do that. He's like, nope,

1215
01:08:20,560 --> 01:08:25,559
Speaker 1: free nothing, right, And are you really going to come

1216
01:08:25,600 --> 01:08:29,840
Speaker 1: out and work against these fine citizens of brian Head

1217
01:08:29,840 --> 01:08:33,920
Speaker 1: to Utah. And it's like, yep, I am because we

1218
01:08:34,000 --> 01:08:37,080
Speaker 1: have all these systems in place that are public and

1219
01:08:37,120 --> 01:08:39,720
Speaker 1: they're for the benefit of we, the people of the

1220
01:08:39,800 --> 01:08:45,360
Speaker 1: United States. Right, Let's work within that framework and everybody

1221
01:08:45,400 --> 01:08:47,439
Speaker 1: can get what they want. Yeah, But he's just like

1222
01:08:47,600 --> 01:08:49,320
Speaker 1: not willing to do that.

1223
01:08:49,760 --> 01:08:54,519
Speaker 2: Moving moving past good old Mike Lee, real quick, what

1224
01:08:54,560 --> 01:08:57,559
Speaker 2: are some of the other big issues or fights you

1225
01:08:57,640 --> 01:09:02,080
Speaker 2: think BHA is gonna be tackling this year and moving forward?

1226
01:09:03,280 --> 01:09:10,280
Speaker 1: I think awareness is a huge part of this, you know,

1227
01:09:10,479 --> 01:09:13,080
Speaker 1: we it's you know, from the top down, like we're

1228
01:09:13,120 --> 01:09:17,200
Speaker 1: being told there's a campaign running to tell people of

1229
01:09:17,400 --> 01:09:24,000
Speaker 1: how our public lands are not good. They're not working

1230
01:09:24,080 --> 01:09:27,880
Speaker 1: for us, not in the best interest of the American people.

1231
01:09:28,439 --> 01:09:32,680
Speaker 1: And you know, hunters and anglers like if you just

1232
01:09:32,720 --> 01:09:38,439
Speaker 1: look at BLM, like we are uniquely poised to be like, actually,

1233
01:09:38,439 --> 01:09:42,360
Speaker 1: this stuff's incredible, right, It's insanely valuable. You can't put

1234
01:09:42,400 --> 01:09:46,320
Speaker 1: a price tag on it. And then the ecosystem services

1235
01:09:46,320 --> 01:09:50,840
Speaker 1: that those lands provide in addition to being like the

1236
01:09:50,880 --> 01:09:54,719
Speaker 1: home of like our extractive industry. A lot of times

1237
01:09:54,760 --> 01:09:58,559
Speaker 1: it's like the case to sell this stuff off is

1238
01:09:58,680 --> 01:10:03,960
Speaker 1: so thin, like it is just like it should be

1239
01:10:03,960 --> 01:10:07,360
Speaker 1: a non starter. So that's going to remain like a

1240
01:10:07,439 --> 01:10:11,720
Speaker 1: goal of the organization. You got to get the message out.

1241
01:10:11,880 --> 01:10:15,280
Speaker 1: There's a lot of people out there who are in

1242
01:10:15,360 --> 01:10:19,400
Speaker 1: full alignment on this, but they don't pay attention to

1243
01:10:19,439 --> 01:10:23,800
Speaker 1: what hunting and angling groups do or think. So that

1244
01:10:23,880 --> 01:10:28,080
Speaker 1: coalition part of the package is something that that we

1245
01:10:28,120 --> 01:10:29,839
Speaker 1: can definitely help bring to the table.

1246
01:10:30,040 --> 01:10:30,240
Speaker 2: Right.

1247
01:10:30,360 --> 01:10:32,720
Speaker 1: So I've got done a lot of work in the

1248
01:10:32,760 --> 01:10:38,519
Speaker 1: past with big green conservation groups as well as big

1249
01:10:38,560 --> 01:10:43,599
Speaker 1: businesses that more align with the the quote unquote green

1250
01:10:43,760 --> 01:10:49,200
Speaker 1: side of things. And the fun thing here is like

1251
01:10:49,240 --> 01:10:53,400
Speaker 1: you don't have to give anything up in order to

1252
01:10:55,800 --> 01:10:59,120
Speaker 1: bring some education into all sides here.

1253
01:10:59,200 --> 01:10:59,719
Speaker 2: So like.

1254
01:11:01,600 --> 01:11:05,360
Speaker 1: You know, very succinctly, it's America. We can have our

1255
01:11:05,400 --> 01:11:08,240
Speaker 1: guns and our public lands. And if somebody tells you

1256
01:11:08,280 --> 01:11:12,320
Speaker 1: that we can't, they're working against you. Like there's nothing

1257
01:11:12,360 --> 01:11:15,760
Speaker 1: that we have, nothing that we have and enjoy right

1258
01:11:15,800 --> 01:11:18,880
Speaker 1: now that is not here because we didn't demand it.

1259
01:11:18,880 --> 01:11:22,960
Speaker 1: It's not here because we got lucky. It's because we

1260
01:11:23,280 --> 01:11:25,360
Speaker 1: hit the brakes and said, oh my god, there's no

1261
01:11:25,439 --> 01:11:28,479
Speaker 1: more freaking ducks left. We got to do something about this.

1262
01:11:29,320 --> 01:11:32,880
Speaker 1: Oh my god, remember how cool elk were. Let's come

1263
01:11:32,960 --> 01:11:36,400
Speaker 1: up with a giant program to reseed elk across their

1264
01:11:36,479 --> 01:11:43,160
Speaker 1: native range. Like we're in this memory lapse situation right now,

1265
01:11:43,520 --> 01:11:47,080
Speaker 1: where it's like people have forgotten all the hard work

1266
01:11:47,200 --> 01:11:50,280
Speaker 1: and dedication that happened to give us what we have

1267
01:11:50,439 --> 01:11:55,840
Speaker 1: right now, and we just need to remind people that

1268
01:11:56,240 --> 01:11:59,519
Speaker 1: this stuff is not here by chance. We didn't get lucky.

1269
01:11:59,680 --> 01:12:03,559
Speaker 1: It's by choice, and people demanded that we have this

1270
01:12:03,640 --> 01:12:07,639
Speaker 1: system of public lands that we want wildlife and stakes

1271
01:12:07,840 --> 01:12:10,360
Speaker 1: access to them, stakes their high exactly.

1272
01:12:10,520 --> 01:12:14,160
Speaker 2: Yeah, all right, Cal, I'd like to end this interview

1273
01:12:14,200 --> 01:12:16,800
Speaker 2: by saying that you've been a big inspiration to me

1274
01:12:17,080 --> 01:12:20,200
Speaker 2: over the years, and I'm sure the same goes for

1275
01:12:20,280 --> 01:12:23,960
Speaker 2: everyone here at Meat Eater and the fans who are listening.

1276
01:12:24,000 --> 01:12:26,880
Speaker 2: So thanks for the work that you're done and the

1277
01:12:26,920 --> 01:12:29,960
Speaker 2: work you're about to do. Fight in the good fight

1278
01:12:30,000 --> 01:12:31,519
Speaker 2: for all of us hunters and anglers.

1279
01:12:31,720 --> 01:12:37,519
Speaker 1: Well, thank you for taking your hosting job and putting

1280
01:12:37,520 --> 01:12:42,840
Speaker 1: in this opportunity. So membership, Yeah, got to grow the membership.

1281
01:12:44,280 --> 01:12:49,519
Speaker 1: We need more names on the list so we can

1282
01:12:50,000 --> 01:12:55,160
Speaker 1: advocate more effectively for our public lands, waters and wildlife.

1283
01:12:56,600 --> 01:12:58,920
Speaker 1: So if you can do something for all of us,

1284
01:12:59,720 --> 01:13:03,240
Speaker 1: get just get a solo membership and tune in and

1285
01:13:03,240 --> 01:13:04,240
Speaker 1: see what we gotta say.

1286
01:13:04,400 --> 01:13:07,880
Speaker 2: Cool. Cool, All right, Phil, we're going to end it

1287
01:13:08,280 --> 01:13:10,600
Speaker 2: with some New Year's resolutions.

1288
01:13:10,720 --> 01:13:11,000
Speaker 1: Cool.

1289
01:13:11,600 --> 01:13:15,040
Speaker 2: Imagine we've got enough material by now that we can

1290
01:13:15,120 --> 01:13:15,760
Speaker 2: end this thing.

1291
01:13:17,560 --> 01:13:21,400
Speaker 5: Cory, Hey, that's twenty twenty six.

1292
01:13:23,000 --> 01:13:26,920
Speaker 6: Well yeah, I mean obviously I could try and eat more,

1293
01:13:27,000 --> 01:13:32,040
Speaker 6: exercise or sorry, eat eat healthier. Sure, exercise more of

1294
01:13:32,040 --> 01:13:34,320
Speaker 6: this than that, and that'll probably come as a roller

1295
01:13:34,360 --> 01:13:36,160
Speaker 6: coaster ride, as it typically does.

1296
01:13:35,960 --> 01:13:36,920
Speaker 3: For me throughout the year.

1297
01:13:37,040 --> 01:13:40,759
Speaker 6: Start out gold and then end up not so healthy,

1298
01:13:40,880 --> 01:13:43,400
Speaker 6: but then it comes back and forth. But my new

1299
01:13:43,479 --> 01:13:47,000
Speaker 6: year's resolution is my son's gonna be eight next year,

1300
01:13:47,000 --> 01:13:49,240
Speaker 6: and I want to do more hunting with him, certainly

1301
01:13:49,520 --> 01:13:52,559
Speaker 6: watching you and Joannis and Steve take your kids out

1302
01:13:52,600 --> 01:13:54,560
Speaker 6: and hearing all the tips and tricks.

1303
01:13:54,600 --> 01:13:56,479
Speaker 3: Man have a great no matter woods.

1304
01:13:56,479 --> 01:13:59,280
Speaker 6: With him, it's been tricky up until this point. I

1305
01:13:59,320 --> 01:14:01,040
Speaker 6: would say we've done a little bit more this year

1306
01:14:01,120 --> 01:14:03,240
Speaker 6: than in year's past. But now that he's eight and

1307
01:14:03,280 --> 01:14:04,760
Speaker 6: he's a couple of years off of being able to

1308
01:14:04,760 --> 01:14:07,320
Speaker 6: do it himself with me, it would so we're gonna

1309
01:14:07,320 --> 01:14:08,760
Speaker 6: try and get out a little bit more. A couple

1310
01:14:08,760 --> 01:14:12,519
Speaker 6: of squirrel outings spring Turkey cool every day in the summer,

1311
01:14:12,600 --> 01:14:13,080
Speaker 6: then up.

1312
01:14:13,000 --> 01:14:15,760
Speaker 3: Next fall too, So nice. Yep, more time in the

1313
01:14:15,800 --> 01:14:16,360
Speaker 3: woods than my.

1314
01:14:16,280 --> 01:14:19,280
Speaker 1: Boy, that's a good one. I support you in that.

1315
01:14:19,479 --> 01:14:20,280
Speaker 3: Oh thank you?

1316
01:14:20,400 --> 01:14:22,400
Speaker 2: Ye got anything specific or.

1317
01:14:24,439 --> 01:14:29,799
Speaker 1: Oh boy? I not really just improve on all fronts.

1318
01:14:30,160 --> 01:14:32,280
Speaker 2: That's fine, that's all. That's good enough.

1319
01:14:32,400 --> 01:14:36,120
Speaker 1: Day by day, Yeah, yeah, yeah, baby steps. My resolution

1320
01:14:36,600 --> 01:14:40,360
Speaker 1: for weight loss comes with like I I have always

1321
01:14:40,439 --> 01:14:44,200
Speaker 1: kept like the same stable of T shirts, Like the

1322
01:14:44,280 --> 01:14:47,439
Speaker 1: new ones come and go real fast. Yeah, but I'm

1323
01:14:47,439 --> 01:14:49,400
Speaker 1: like if I throw on an old T shirt that

1324
01:14:49,439 --> 01:14:52,360
Speaker 1: I really like and go, oh my god, Yeah, that's

1325
01:14:52,520 --> 01:14:53,120
Speaker 1: that's my.

1326
01:14:53,479 --> 01:14:56,640
Speaker 2: Don't think it as someone who's got a weight loss problem.

1327
01:14:57,680 --> 01:15:02,080
Speaker 1: Oh man, it's just like you know, older, get old,

1328
01:15:02,120 --> 01:15:03,920
Speaker 1: beer gut becomes like a real thing.

1329
01:15:04,200 --> 01:15:06,160
Speaker 2: Yeah you go, Ho, who.

1330
01:15:06,080 --> 01:15:06,360
Speaker 4: Is this.

1331
01:15:11,200 --> 01:15:11,479
Speaker 1: Cool?

1332
01:15:12,240 --> 01:15:14,280
Speaker 2: Big one for me is I'm doing a marathon with

1333
01:15:14,320 --> 01:15:16,400
Speaker 2: a goal time at three point thirty, which is it's

1334
01:15:16,439 --> 01:15:20,880
Speaker 2: gonna be tough, but it's doable if I stick with

1335
01:15:20,960 --> 01:15:24,960
Speaker 2: the training and uh get lucky and stay injury free.

1336
01:15:25,040 --> 01:15:27,080
Speaker 2: It's gonna be a tough one, but I'm giving it,

1337
01:15:27,200 --> 01:15:27,760
Speaker 2: giving it a go.

1338
01:15:28,400 --> 01:15:29,439
Speaker 1: What's what's your timeline?

1339
01:15:30,600 --> 01:15:35,759
Speaker 2: September? So I'll start like the actual like regimented training

1340
01:15:35,840 --> 01:15:39,439
Speaker 2: program in early April. So between now and then, it's

1341
01:15:39,479 --> 01:15:41,080
Speaker 2: just putting miles on you know.

1342
01:15:42,000 --> 01:15:45,840
Speaker 1: Yeah, plus around here you need you know, there's a

1343
01:15:45,880 --> 01:15:48,960
Speaker 1: good chance you need like, uh indoor training.

1344
01:15:49,200 --> 01:15:53,000
Speaker 2: Yeah exactly. Like I like I was looking at spring

1345
01:15:53,120 --> 01:15:55,960
Speaker 2: marathons because you can't, like you can't. It's too hot

1346
01:15:56,040 --> 01:15:57,680
Speaker 2: in the summer right in a lot of places. But

1347
01:15:57,800 --> 01:16:00,800
Speaker 2: like Missoula has one in June. But then when you

1348
01:16:00,840 --> 01:16:03,960
Speaker 2: think about Montana's winner, it's like, do I have time

1349
01:16:04,000 --> 01:16:06,120
Speaker 2: to get ready for that one? Not really? So it's

1350
01:16:06,160 --> 01:16:08,519
Speaker 2: better that I'm doing one doing what I'm doing one

1351
01:16:08,520 --> 01:16:12,920
Speaker 2: out in Billings in September. N Yeah, and then like

1352
01:16:13,320 --> 01:16:16,519
Speaker 2: for like our world, our hunting world, whatever we want

1353
01:16:16,520 --> 01:16:20,320
Speaker 2: to call it, Like Corey, it's pretty much kind I've

1354
01:16:20,400 --> 01:16:22,240
Speaker 2: kind of had the same one going for a few

1355
01:16:22,320 --> 01:16:25,960
Speaker 2: years and it probably shows my age and it's corny

1356
01:16:25,960 --> 01:16:30,320
Speaker 2: and cliche, but it's like focusing on the fun, the experience,

1357
01:16:31,160 --> 01:16:34,880
Speaker 2: the people, the places. Like That's what I'm worried about

1358
01:16:34,920 --> 01:16:37,760
Speaker 2: these days, rather than like what in animal scores or

1359
01:16:37,800 --> 01:16:41,120
Speaker 2: something like that. I just want hunting to be like

1360
01:16:41,160 --> 01:16:43,280
Speaker 2: it was when I was a kid and everything was

1361
01:16:43,320 --> 01:16:46,360
Speaker 2: special and fun, and then there's like the old man

1362
01:16:46,400 --> 01:16:49,240
Speaker 2: element to it where you'd like grow wise enough to

1363
01:16:49,439 --> 01:16:52,400
Speaker 2: just like appreciate whatever you're given, you know what I mean?

1364
01:16:52,479 --> 01:16:56,120
Speaker 2: Like that, So that's my like hunting resolution for the year.

1365
01:16:56,280 --> 01:16:59,360
Speaker 1: That's a good one. Yeah, I need. I was gonna say,

1366
01:16:59,760 --> 01:17:04,960
Speaker 1: I have not done like my big wilderness backpack hunt

1367
01:17:05,000 --> 01:17:10,439
Speaker 1: for two years now, and uh time I have, like

1368
01:17:10,520 --> 01:17:13,200
Speaker 1: for mental health purposes, I got to make that thing happen,

1369
01:17:13,439 --> 01:17:16,639
Speaker 1: ye for sure. Yeah, that's like a big Buck Dreams

1370
01:17:16,720 --> 01:17:20,240
Speaker 1: type of deal. But yeah, I mean consequently, like I

1371
01:17:20,280 --> 01:17:25,799
Speaker 1: haven't shot it here in two years because the whole

1372
01:17:25,880 --> 01:17:30,760
Speaker 1: scene is so important to me, where it's like it's

1373
01:17:30,800 --> 01:17:33,120
Speaker 1: way more you're spending.

1374
01:17:32,760 --> 01:17:35,679
Speaker 2: All your time protecting that stuff rather than going.

1375
01:17:35,439 --> 01:17:39,559
Speaker 1: Out I want to keep though, is like I don't

1376
01:17:39,600 --> 01:17:41,880
Speaker 1: want this to be a career. I want to like

1377
01:17:41,920 --> 01:17:46,320
Speaker 1: put myself out of a job as soon as possible, right, so,

1378
01:17:46,439 --> 01:17:51,960
Speaker 1: like as as fast as people can on absolutely, Oh absolutely, man.

1379
01:17:52,720 --> 01:17:55,519
Speaker 1: And I think that is like a real difference in

1380
01:17:55,640 --> 01:18:00,720
Speaker 1: goal like career people and all sorts of things, Like

1381
01:18:00,720 --> 01:18:04,720
Speaker 1: like there's people in this space that I think a

1382
01:18:04,840 --> 01:18:09,080
Speaker 1: third of the time they're working in a way that

1383
01:18:09,160 --> 01:18:13,080
Speaker 1: will never put this ship to bed. Right, I'm like, oh, great,

1384
01:18:13,080 --> 01:18:15,680
Speaker 1: you just created more enemies that are galvanized against you.

1385
01:18:16,160 --> 01:18:18,800
Speaker 1: I'm like, how about we just do the good thing

1386
01:18:18,880 --> 01:18:22,880
Speaker 1: and and get it done and then everybody understands and

1387
01:18:22,920 --> 01:18:25,280
Speaker 1: respects of this stuff and we can go I'll go

1388
01:18:25,360 --> 01:18:27,559
Speaker 1: back to swinging a hammer, being happy.

1389
01:18:27,760 --> 01:18:28,080
Speaker 2: Nice.

1390
01:18:29,040 --> 01:18:31,439
Speaker 5: I think that's a great place to end it. What

1391
01:18:31,479 --> 01:18:33,480
Speaker 5: about Phil, Swing Phil.

1392
01:18:33,680 --> 01:18:39,519
Speaker 2: Phil, Phil, We're gonna jump back in time. What I

1393
01:18:39,560 --> 01:18:40,679
Speaker 2: need you to address something?

1394
01:18:40,760 --> 01:18:41,760
Speaker 1: Damn following.

1395
01:18:44,800 --> 01:18:46,080
Speaker 5: Phil, this this is we're.

1396
01:18:45,920 --> 01:18:48,080
Speaker 2: Going back to a podcast question. I swear to God

1397
01:18:48,120 --> 01:18:49,320
Speaker 2: We're gonna end it after this.

1398
01:18:49,479 --> 01:18:52,639
Speaker 1: Okay from Tate Green.

1399
01:18:53,080 --> 01:18:55,799
Speaker 2: At the beginning of a some Meat Eater podcast on YouTube,

1400
01:18:55,840 --> 01:18:57,240
Speaker 2: there's a Dude Wipes commercial.

1401
01:18:57,280 --> 01:18:59,080
Speaker 1: I've never heard this commercial, but continue.

1402
01:18:59,240 --> 01:19:01,920
Speaker 2: There's a singing voice that sounds like it could be Phil.

1403
01:19:02,720 --> 01:19:07,320
Speaker 2: Is this you Phil? No, I wish I could say

1404
01:19:07,320 --> 01:19:10,680
Speaker 2: it was me. It is not me. I'm flattered you

1405
01:19:10,720 --> 01:19:12,160
Speaker 2: think I can sing as well as that guy. He's

1406
01:19:12,200 --> 01:19:14,160
Speaker 2: he's built in it and he's he's really reaching for

1407
01:19:14,200 --> 01:19:14,840
Speaker 2: the stars there.

1408
01:19:15,280 --> 01:19:17,400
Speaker 1: Nope, that's not me. But I don't know.

1409
01:19:17,400 --> 01:19:18,680
Speaker 2: If I get tired of me eater, I might like

1410
01:19:18,760 --> 01:19:21,040
Speaker 2: Nancy Kerrigan him and then I'll maybe take his job

1411
01:19:21,160 --> 01:19:21,479
Speaker 2: or something.

1412
01:19:22,479 --> 01:19:25,360
Speaker 1: Yeah, because that's the only way. It's the it truly is.

1413
01:19:25,840 --> 01:19:28,760
Speaker 2: I mean, you're already the best podcast engineer in the

1414
01:19:28,760 --> 01:19:35,080
Speaker 2: business and in demand stage actor, semi professional gamer, world renowned,

1415
01:19:35,120 --> 01:19:38,479
Speaker 2: dungeon master world renowned. But you know you might have

1416
01:19:38,520 --> 01:19:41,200
Speaker 2: time to get a side hustle singing jingles.

1417
01:19:42,080 --> 01:19:42,840
Speaker 3: How's that song go?

1418
01:19:42,880 --> 01:19:43,160
Speaker 7: Again?

1419
01:19:43,880 --> 01:19:46,120
Speaker 2: He won't sing it? He told me what. Well, Yeah,

1420
01:19:46,240 --> 01:19:47,840
Speaker 2: Dude Wipes, he needs to pay us more money if

1421
01:19:47,880 --> 01:19:49,719
Speaker 2: they want us to sing the song on the show, So.

1422
01:19:50,240 --> 01:19:54,320
Speaker 1: Free fork it out. Dude, wipes. Don't we get a

1423
01:19:54,320 --> 01:19:55,120
Speaker 1: film resolution?

1424
01:19:55,280 --> 01:19:56,120
Speaker 3: Oh, I was wondering.

1425
01:19:56,120 --> 01:19:58,639
Speaker 1: My mind is to read more. Hey, there you go.

1426
01:19:58,720 --> 01:19:59,320
Speaker 3: That's a good one.

1427
01:19:59,400 --> 01:20:01,200
Speaker 5: Solid, always a good one.

1428
01:20:01,000 --> 01:20:01,559
Speaker 3: With you on that.

1429
01:20:01,640 --> 01:20:02,400
Speaker 1: Any genre?

1430
01:20:03,360 --> 01:20:03,679
Speaker 2: Oh?

1431
01:20:03,840 --> 01:20:07,040
Speaker 1: Nothing, nothing, I mean it's fantasy. Col I don't know.

1432
01:20:07,280 --> 01:20:09,519
Speaker 1: I'm not reading any nonfiction around here.

1433
01:20:09,840 --> 01:20:13,120
Speaker 2: The Dungeon Master's Manual, twenty third edition.

1434
01:20:15,160 --> 01:20:19,160
Speaker 1: It's in my backpack up in my office right now. Amazing.

1435
01:20:19,240 --> 01:20:22,240
Speaker 5: All right everyone, Happy New Year, happy holiday.

1436
01:20:23,800 --> 01:20:26,960
Speaker 2: Do good in twenty twenty six and tune in next

1437
01:20:27,000 --> 01:20:28,559
Speaker 2: week later you're here.