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Speaker 1: I guess I grew up on a Hey Everybody, episode

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Speaker 1: one four coming at you. Uh. It is a beautiful

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Speaker 1: day here in Montana, and I'm joined by Pat Durk

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Speaker 1: and say, hey, Pat, nice talking to It's good to

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Speaker 1: have you on. Um. It's long, long overdue. If you

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Speaker 1: if you don't know anything about Pat, shame on you

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Speaker 1: get bastards. UM go over to the metator dot com

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Speaker 1: and and find his contributor page. You'll have hours and

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Speaker 1: hours and hours of wonderful reading of all the stuff

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Speaker 1: that passed on over the last How long you've been

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Speaker 1: writing for me to either Pat? Just almost two years now,

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Speaker 1: that's all I think. I think I got my first

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Speaker 1: assignment from Steve and may have really may have two thousand,

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Speaker 1: so now just two years. That's awesome. Where we also

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Speaker 1: have new hearts. Say hey, Spencer, he Ben he Bent

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Speaker 1: the baritone badass. We're gonna we're gonna get to I

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Speaker 1: was just reading your article Spencer about three toes. We're

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Speaker 1: gonna get to the legend of three toes here in

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Speaker 1: a moment. But there there's been a lot of people

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Speaker 1: out of your neck of the woods, South Dakota that

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Speaker 1: have pretty awesome nicknames you know as you as you

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Speaker 1: wrote in the article. So I'll let you go through

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Speaker 1: that later. But you need to think about if the

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Speaker 1: baritone badasses, it's something you want to stick or not

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Speaker 1: to think about it. Um. And then we have Phil

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Speaker 1: first Crap in the Woods, Taylor, Hey buddy, Hey Ben,

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Speaker 1: how's it going? God? Are you ready for what's about

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Speaker 1: to go down? Not at all? Let's do it? Okay? Well,

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Speaker 1: I was just telling everybody before we hit record here

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Speaker 1: that we were inundated, as one might expect with first

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Speaker 1: Crap in the Woods stories Slash My Dog Eats Human

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Speaker 1: Feces stories. As much as I love reading both of those,

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Speaker 1: I'm a little I'm a little worn out, a little

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Speaker 1: burned out. I tried to read them all, so thank

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Speaker 1: you for everybody for sending them in. Um. Phil, how's

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Speaker 1: the how's it been on your end? You've been getting

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Speaker 1: a lot of feedback because I've been really just taking

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Speaker 1: over your life, so it's a big deal. It's not

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Speaker 1: quite taken over my life yet, but um. I went

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Speaker 1: for a beautiful hike this uh this weekend in the

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Speaker 1: Galaton Canyon. Posted a little little Instagram story thinking I

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Speaker 1: would just put some good content out there in the world. Instead,

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Speaker 1: I was just inundated with um replies along the lines of, Hey,

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Speaker 1: why didn't you take a ship up there? Or hey,

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Speaker 1: go take a crap behind that tree. So I'd like

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Speaker 1: to thank you and thank the audience for this. Yeah,

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Speaker 1: I'd like I'd like to also thank them. Please forward

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Speaker 1: me every single one of those comments. Uh, this is

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Speaker 1: what keeps me going during quarantine. It's this kind of chattered.

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Speaker 1: We have a lot. We have so many emails Pat Durk,

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Speaker 1: and we I don't know if I can't even read

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Speaker 1: them all. Um, there's so many. So there's like thousand

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Speaker 1: words stories. There's a bunch but um Bryant Lummon wrote

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Speaker 1: in and he said that, um, I'm gonna have to

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Speaker 1: summarize as many of these as I can. But he

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Speaker 1: was taking a ship in the woods, his first ship

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Speaker 1: in the woods in Wisconsin, and uh, your neck of

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Speaker 1: the woods there, And he went to squat to take

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Speaker 1: the ship, and he forgot that a lot of times

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Speaker 1: when you take a ship, you also urinate, and so

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Speaker 1: he peeed into his pants. While he had cleared the

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Speaker 1: back end, the front end wasn't clear, and so, as

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Speaker 1: he says, he started pissing directly into my pants that

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Speaker 1: were around my ankles. He said, I was able to

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Speaker 1: redirect and minimize the damage, but I still had to

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Speaker 1: drop a few wet layers when I got back to

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Speaker 1: the car. Luckily, it was getting warmer and they weren't

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Speaker 1: really needed by that. So that's really what we're going through. Pat,

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Speaker 1: You've been telling me, if you you got a few

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Speaker 1: gems from this genre, you want to lay one out there,

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Speaker 1: you can leave it. You can leave the names out

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Speaker 1: if you wish. Well, the first one that made me

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Speaker 1: laugh was I was telling I got to kick on

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Speaker 1: a Phil story that I was telling my wife about it,

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Speaker 1: and she, uh, I said, you know, yeah, Phil, I'm

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Speaker 1: guessing Phil, you must be about late twenties. Well that's right,

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Speaker 1: twenty nine, okay. And I said something like, yeah, phils

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Speaker 1: late twenties and has never taken a crap in the woods.

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Speaker 1: And my wife got this thoughtful look in her face.

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Speaker 1: You know, she's sixty one, and she says, yeah, I

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Speaker 1: don't think. I don't think I have either. So that

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Speaker 1: kind of shocked me because I've taken them. You know,

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Speaker 1: when when the kids were around, we used to go

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Speaker 1: up to Canada every summer and go fishing, and we

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Speaker 1: used to make bathroom breaks quite often. You know, I've

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Speaker 1: dropped them off in these islands and then when you

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Speaker 1: go off the girls in the woods and come back,

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Speaker 1: and I kind of assumed that would happen at some point,

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Speaker 1: but apparently not. Another one was again involving my daughters.

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Speaker 1: I used to always take I'm up to the Michigan's

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Speaker 1: Upper Peninsula, which is about four hour drive straight north

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Speaker 1: of me, and I'd cooked there and spend the weekend

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Speaker 1: with them scouting deer and looking for places to hunt.

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Speaker 1: And there are pre schools when I first started doing that,

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Speaker 1: And I brought them home and came on from work

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Speaker 1: one day, and my wife was somewhat amused, but also

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Speaker 1: that irritated that. Um we lived, we still lived on

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Speaker 1: Main Street in that tongue called Amoral, Wisconsin, which is

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Speaker 1: west of ostaf you know Wisconsin geography at all. And yeah,

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Speaker 1: apparently my daughter has decided to go to the bathroom

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Speaker 1: out there in the front lawn of our yard on

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Speaker 1: Main Street. And I was kind of proud of them,

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Speaker 1: but my wife wasn't all that thrilled. So I kind

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Speaker 1: of explained to them that there's proper places to go outside,

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Speaker 1: you know, and there's improper places to go outside, and

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Speaker 1: the yard is not a proper place for this kind

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Speaker 1: of kind of stuff. So yeah, that was that was

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Speaker 1: my my of a film story. I mean, Phil's Phil story. Really,

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Speaker 1: Pad is bringing people together. So many people have realized

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Speaker 1: through this that both their dogs are you know, don't

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Speaker 1: need help, they are normal, and and you know, people

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Speaker 1: having these realizations that they have never crapped in the

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Speaker 1: woods either. I got a lot of those two, a

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Speaker 1: lot of those on a lot of those messages on Instagram,

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Speaker 1: people like I never thought about that, I've never taken

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Speaker 1: a ship in the woods before. And so it's really

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Speaker 1: a story of you know, coming together around a tough

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Speaker 1: time to to talk about these issues, you know, and

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Speaker 1: be open about what you're doing out there. Spencer, you

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Speaker 1: got anything to add here? My favorite story wasself like

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Speaker 1: this buddy's uncle and they were out for opening day

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Speaker 1: of deer hunting and there was this weird shifts that

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Speaker 1: I feel like happened maybe like fifteen or twenty years ago.

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Speaker 1: We're prior to that, every deer hunter hardcore or like

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Speaker 1: amateur or really casual or otherwise everybody wore like these

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Speaker 1: one piece jump suit bibs that were made by Carhart

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Speaker 1: or Dickies or whoever. Um, is that familiar to you guys?

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Speaker 1: Or was that like a regional thing where I'm from.

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Speaker 1: Did everybody at one point just like wear these giant

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Speaker 1: one that was coming Especially I remember in the seventies

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Speaker 1: and I started hunting, those are really common. Yeah, And

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Speaker 1: when we started hunting, that's all we wore. And that's

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Speaker 1: like funny more about um, you know, like I can't

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Speaker 1: imagine that's ever going to show up in a first

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Speaker 1: light website, is uh, you know, the the whole one

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Speaker 1: piece bib suit. But anyway, that's just like what everybody wore.

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Speaker 1: And it's worth knowing that for this story, this uncle

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Speaker 1: had to take a crap and um like did his

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Speaker 1: business and finished up and went to pull up his

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Speaker 1: one piece thing and flung his sat over his head

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Speaker 1: and also just threw feces like all over himself because

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Speaker 1: he didn't account for the fact that, uh, he had

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Speaker 1: just taking off this entire layer of clothing that was

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Speaker 1: right below and then that's where someone been landed. So

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Speaker 1: that was a different time certainly, all right, Well, Spencer,

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Speaker 1: like I don't. I've never had any emergency situations like that,

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Speaker 1: but you know, everybody's had had their story, so it's good.

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Speaker 1: Like I said, it's like gathering around a campfire. UM,

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Speaker 1: with that camp fire as a pile of ship UM

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Speaker 1: and Phil's case, So thank you. I just want to say,

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Speaker 1: thank you. Phil. We're gonna let that go. Thanks for

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Speaker 1: all the emails. Keep sending them in. UM, we may

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Speaker 1: do a whole podcast where we just read these. I

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Speaker 1: tried to count. I've been trying to count since we

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Speaker 1: hit record and that we're up there, We're over a

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Speaker 1: hundred emails and a lot like some of the I

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Speaker 1: could just read you some of the Phil's poopy predicament,

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Speaker 1: Phil's first pile in the woods, Phil's dog problem, canoes, shipping,

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Speaker 1: and friendship. So there's just so many, so many great

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Speaker 1: emails in there. So I'm sorry I can't read them all.

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Speaker 1: But we don't want to cover too long on on

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Speaker 1: on this topic. Less we turned into a whole different podcast. UM,

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Speaker 1: so this is the It's it's an easy transition, um.

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Speaker 1: Michael Michael Skall wrote in this Michael Skall wrote and

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Speaker 1: he said, and the title of his email was would

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Speaker 1: you eat it, um, and you may know of this area.

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Speaker 1: Another wisconsinite pat He said, I he owned some land

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Speaker 1: in the Poplar River near Poplar, Wisconsin. Okay, he's way

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Speaker 1: up there in the hinter lands. Uh he found, he said.

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Speaker 1: Every day I drive over the river twice on my

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Speaker 1: way to and from work. One evening, as I crossed

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Speaker 1: the bridge, I noticed two dark subjects hum hung up

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Speaker 1: on a snag in the river below. I had to

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Speaker 1: investigate what was going on. As my dog and I

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Speaker 1: went down closer, I saw that this was to jake

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Speaker 1: turkeys that had been dumped off the bridge. This is

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Speaker 1: not an uncommon sight, but when I pulled them to

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Speaker 1: the shore, I was disgusted at what I saw. That

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Speaker 1: Jake's were simply rested out, breasted, and then tossed out.

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Speaker 1: I thought ran through my head. These cannot be but

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Speaker 1: a day old, because they weren't here this morning, and

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Speaker 1: they were in the cool water of the river all day.

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Speaker 1: I wonder if I can save the legs. His question

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Speaker 1: to us is what would we do? Would we take

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Speaker 1: the legs and cook them up and eat him? Um?

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Speaker 1: I think he actually did what he wanted to know?

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Speaker 1: Is he just desperate? Or do we think that's a

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Speaker 1: good idea, Pat, what do you think about that? I

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Speaker 1: am my initial reaction, they say, when this must have

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Speaker 1: just happened. Huh, yeah, I must have just happened. Didn't

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Speaker 1: say exactly when, but this year in the spring. My

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Speaker 1: my first reaction is say, definitely take them, um, at

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Speaker 1: least take them and then check them off. But I'm

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Speaker 1: guessing that it's still be in good shape, you know,

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Speaker 1: because it's been pretty cool. That's some really mad waters

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Speaker 1: are still running cooled up there. I'd say it's a

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Speaker 1: pretty good chance there is still good all like, guess

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Speaker 1: that would be my my my answer, Spencer them me too, Spencer, Yeah,

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Speaker 1: I think it's I think it's easy to be like, oh, yeah,

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Speaker 1: I would have done it. I would have taken them,

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Speaker 1: for sure, but uh, it would be difficult to come

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Speaker 1: upon an animal that you don't know how long it's

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Speaker 1: been there or who put it there, or will might

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Speaker 1: be in that water and be like, yeah, I'd take it.

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Speaker 1: So I'm not real confident that I would. And I'm

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Speaker 1: somebody who's all four taking road kill or if someone

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Speaker 1: has excess game that they don't they're not interested in

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Speaker 1: cleaning themselves or gutting. I'm all for taking that, but

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Speaker 1: that would be a tough situation. Uh, And I would

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Speaker 1: really commend him if he did do it. Well, here's

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Speaker 1: his story, he said. I decided I would remove the

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Speaker 1: two sets of legs and take them up to the

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Speaker 1: house for closer inspection. I cleaned them up the best

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Speaker 1: I could, but they had a very pale color from

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Speaker 1: being in the river for eight hours. That night, I

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Speaker 1: put all four in the crock pot and let them

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Speaker 1: cook all night while I slept dreaming of my own

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Speaker 1: turkey hunt that would be coming in the middle of May.

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Speaker 1: In the end, I did eat a few bites of meat,

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Speaker 1: but the smell of the cooked meat was not as

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Speaker 1: I remember. In the end, his dog June, enjoyed a

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Speaker 1: few nights of cooked dark turkey meat with her kibble.

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Speaker 1: That's uh. Until then, keep powder dry and your whistle

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Speaker 1: with Michael skull Um, I I like the I like

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Speaker 1: what he did there. I'm all for it. I feel

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Speaker 1: like he You take the meat, you examine it, and

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Speaker 1: then if you feel like you can go through the

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Speaker 1: next step, you cook it up, and then if it's

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Speaker 1: not it's not to your liking and there's a dog

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Speaker 1: running around, it's just fine. It's better than better in

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Speaker 1: that case, and sitting around in the woods, uh, in

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Speaker 1: the river. So I'll give you some credit there, Michael.

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Speaker 1: But I appreciate the question because I think about that

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Speaker 1: pretty much every time I crossed any piece of road kill,

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Speaker 1: UM that's visible from the road, I think about it.

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Speaker 1: I've taken him before. I do that a lot. But

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Speaker 1: you gotta you gotta look and ask those questions. Now, Phil,

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Speaker 1: since you're a non hunter, Um, have you ever eaten

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Speaker 1: road kill? This may be in your next big story

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Speaker 1: that you need to tell us. I know I have not.

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Speaker 1: I have not eaten roadkill. I haven't had the opportunity. UM.

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Speaker 1: Yanni was telling a story about how someone hit h

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Speaker 1: moose near his house and he just got the whole

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Speaker 1: moose and it was a pretty good condition, and we

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Speaker 1: talked about that for a while. UM. When Yanni told

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Speaker 1: that story, I think I brought up the fact that

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Speaker 1: when someone asked, well, would you, at least coming from

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Speaker 1: a non hunters perspective, the idea of eating roadkill, just

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Speaker 1: the word roadkill just kind of like sets off an

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Speaker 1: alarm and you're like disgusting, horrible. Why Um? But then

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Speaker 1: when you actually stop and think about it for a second,

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Speaker 1: it's like, well why not? Is that? I guess it

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Speaker 1: is the better question? Um, but I haven't. I have

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Speaker 1: not yet know. Okay, Well, it seems like it would

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Speaker 1: be harder for me to do than than crapping in

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Speaker 1: the woods, though I don't know, Phil, you just gotta

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Speaker 1: You're just not looking for it right now. You weren't

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Speaker 1: looking for the crap in the woods, You're not looking

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Speaker 1: for roadkill. So your next thing you gotta do and

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Speaker 1: service to the podcast to bring us the content that

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Speaker 1: everybody loves so much, is grab us a wild It

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Speaker 1: doesn't matter what the road kill is, um, Spencer. Do

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Speaker 1: you have like a favorite road kill treat that you

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Speaker 1: can kind of, you know, titillate fills palette with the

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Speaker 1: only road kill I've eaten it would be pheasant. I've

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Speaker 1: had a handful of pheasants that I've hit that flushed

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Speaker 1: up out of the ditch while I was driving in

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Speaker 1: the fall, crushed him they were dead, and took those

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Speaker 1: home andy them. But anything any ven sanitary game bird,

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Speaker 1: I can't go wrong, I don't think. Okay, well, Phil,

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Speaker 1: you'd be the one to look at. When you see one,

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Speaker 1: you text me, I'll come over and we'll help you out.

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Speaker 1: All right, okay, got it? Moving on? Moving? Are we

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Speaker 1: get there? But get there? Pat, you have any insight there?

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Speaker 1: We should move on? Ad alright, good. I was just

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Speaker 1: I was just thinking, though, I have to say before

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Speaker 1: I forget that one of the most pleasant surprises in

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Speaker 1: podcast I listened to it was the way you have

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Speaker 1: developed Phil into the celebrity. He's just a guy that

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Speaker 1: I joyant. I'm sure Wan piled his job. He wasn't

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Speaker 1: looking forward to looking little down the road and thinking

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Speaker 1: that he's gonna be one day assuring all these varied

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Speaker 1: stories that you've been pulling on at him. But yeah,

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Speaker 1: as a fellow journalist, I felt there was a story

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Speaker 1: that needed to be told. Pat. I felt somebody had

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Speaker 1: to tell this, you mysterious, mercurial young man's story. H

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Speaker 1: and everybody thought. Most people thought when he first came

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Speaker 1: on he was like a forty five year old man.

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Speaker 1: Um who knew that his he had the tastes of

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Speaker 1: a forty five year old man, yet uh was much

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Speaker 1: younger and more handsome in person. So um, well, well

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Speaker 1: we're peeling back those layers of the onion. We're gonna

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Speaker 1: keep doing it. Okay, Phil, you're good, Just say good good,

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Speaker 1: Thank you Patters for kind words. He never thought anybody

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Speaker 1: would be drawing his face. It was not in the

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Speaker 1: job description, that's for sure. It's one of the great

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Speaker 1: joys in my life. Um. All right, Well, we gotta

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Speaker 1: get to the reason why I wanted to have both

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Speaker 1: you guys on Spencer and Pass because we've been saying

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Speaker 1: this a lot more recently. But I am committed to

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Speaker 1: sending more of you listeners over to the meat eator

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Speaker 1: dot com only because I read almost everything that goes

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Speaker 1: up there, and um, it's some of the best parts

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Speaker 1: of my day of reading some of this content. So

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Speaker 1: I am committed to making sure that you lazy bastards

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Speaker 1: out there listening are taking up more of your free

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Speaker 1: time and spending with us here a meat eaters. So

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Speaker 1: that's that's my mission, and I need you guys to

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Speaker 1: help me convince them, you know, convince these people listening,

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Speaker 1: these holdouts that aren't doing it every single day to

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Speaker 1: go and check it out. So I think we have

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Speaker 1: to really great pieces that that you guys wrote. Um,

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Speaker 1: that'll that will help with that mission. So I'll let

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Speaker 1: you lead off, Spencer only with the fact that you

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Speaker 1: wrote about your home territory, the story of Three Toes,

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Speaker 1: the Killer Wolf, the most the West, most of the stories,

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Speaker 1: Notorious Livestock Killer. But within the article you started listing

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Speaker 1: off some of the names of legendary bat had asses

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Speaker 1: that kind of came from that era and that part

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Speaker 1: of the world. You want to kind of give a

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Speaker 1: rundown of some of those folks and why that they

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Speaker 1: all kind of coalesced in that place. Yeah, in the

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Speaker 1: late eighteen hundreds, the Black Hills of South Dakota, specifically

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Speaker 1: like Deadwood, had a gold rush, and at that time,

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Speaker 1: South Dakota wasn't yet a state, and it was about

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Speaker 1: the furthest I think east you could probably go without

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Speaker 1: having a state, and so it was lawless country and

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Speaker 1: there was this attraction of gold that brought in all

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Speaker 1: of these like really classic old Wesse characters. He had

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Speaker 1: wild Bill Hiccock, Calamity Jane Colorado, Charlie Utter, crooked nosed

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Speaker 1: Jack McCall, who is the person that killed wild Bill hiccock. Um.

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Speaker 1: You just had like this real collection of characters. If

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Speaker 1: you've ever watched the HBO series Deadwood. Those are the

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Speaker 1: kinds of people, um, that you're dealing with around that era.

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Speaker 1: But the most savage outlaw of them all didn't show

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Speaker 1: up until thirty years later. And that is who we're

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Speaker 1: going to talk about. Three Toes of the Wolf. Did you?

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Speaker 1: Did you mentioned Potato Creek Johnny? I don't want to.

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Speaker 1: I don't wanna miss him. He was a great one. Uh.

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Speaker 1: And if you ever do go to Deadwood, South Dakota,

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Speaker 1: there's the Mount Marayah Cemetery where a ton of these

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Speaker 1: Old West characters with these really colorful names are buried. Uh.

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Speaker 1: It's like one of my most favorite places in the world.

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Speaker 1: It's a really cool place, Uh to look back on

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Speaker 1: that history and and know that you're still close to

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Speaker 1: all those types of people. Yeah. I went there one

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Speaker 1: time and got blackout drunk at a casino and lost

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Speaker 1: a bunch of money. I missed the cemetery part, but

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Speaker 1: I enjoyed the town nice steak So three Toes Uh.

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Speaker 1: He kind of arrived on the scene in nineteen twelve,

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Speaker 1: and he was known in the area because of his

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Speaker 1: infamous pop print that only had three toes rather than four,

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Speaker 1: and the story goes that he lost a fourth Toe

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Speaker 1: a year so prior in a ranchers trap. Three Toes

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Speaker 1: was the last remaining gray wolf in the tri state

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Speaker 1: area of northwestern South Dakota, southwestern North Dakota, and southeastern Montana,

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Speaker 1: and he really caused havoc for about a decade there.

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Speaker 1: Now there was a lot of credit given to Three

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Speaker 1: Toes for being this bloodthirsty killer um. He would take

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Speaker 1: out entire corrals of sheep, He killed cattle, he killed horses,

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Speaker 1: he killed pigs. By the end of his reign, like

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Speaker 1: his thirteen year run of terrorizing the area, he had

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Speaker 1: supposedly cost fifty dollars in livestock damages, which today, accounting

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Speaker 1: for inflation, is about six dollars in damage. Now Three

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Speaker 1: Toes had this really evasive history. Everyone in the area

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Speaker 1: tried to kill a wolf because he caused so much

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Speaker 1: financial damage. There were stories of people pursuing him for

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Speaker 1: a hundred forty miles before they lost him, two miles

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Speaker 1: before they lost him. There were stories of mid pursuit

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Speaker 1: chasing Three Toes. He would take a break in a corral,

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Speaker 1: he slaughtered fifteen sheep, and they kept going. Uh. The

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Speaker 1: legend grew to the point where he had once hid

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Speaker 1: in or near a horse carcass so that the people

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Speaker 1: would pass by him and to keep going. He was

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Speaker 1: so intelligent that if the chase was getting close, he

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Speaker 1: would intentionally scattered livestock so that they would obliterate his trail,

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Speaker 1: so then he could leave the area and they wouldn't

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Speaker 1: be able to follow his tracks. So uh, three Toes

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Speaker 1: had wit, and he also had athleticism. He had supposedly

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Speaker 1: jumped down like thirty ft banks to get away from hounds.

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Speaker 1: He had cleared twelve foot clear twelve foot banks to

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Speaker 1: get away from hounds. Um. So it was the wit

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Speaker 1: and the athleticism. It got so bad where the state

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Speaker 1: put a bounty on him five dollars, which today confiflation

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Speaker 1: is like thirteen dollars um. And as all these cowboys

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Speaker 1: failed to catch him, finally the U. S d A

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Speaker 1: Called in their greatest wolf hunter in the country, and

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Speaker 1: this was Clyde Briggs. He came up for New Mexico

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Speaker 1: and he had a reputation for catching the uncatchable predators.

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Speaker 1: After about three weeks of interviewing cowboys scouting out the area,

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Speaker 1: he finally settled it on a ranch and he set

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Speaker 1: this like really exhaustive trap line, and he ended up

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Speaker 1: catching three Toes. I think it was on July twenty three,

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Speaker 1: UM nineteen. I believe that was the date. By that time,

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Speaker 1: three Toes was well passed his prime. Supposedly he had been,

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Speaker 1: you know, at least thirteen, fourteen, fifteen years old. Now

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Speaker 1: wolves in captivity like their max range is seventeen or eighteen,

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Speaker 1: so this wolf was was way way up there. Clyde

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Speaker 1: Briggs decided he would spare three Toes temporarily, and he

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Speaker 1: had tied him, put him in his car, and he

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Speaker 1: was going to drive him to the town of Buffalo,

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Speaker 1: which was only about ten miles away or so. But

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Speaker 1: on the way there, three Toes actually died. Despite the

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Speaker 1: wolf being six ft long, he was only seventy four pounds.

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Speaker 1: And the sheepherder slash writer in the area, who a

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Speaker 1: lot of these stories kind of come from, he had

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Speaker 1: written about the wolf and this is what he said

408
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Speaker 1: about it, said, call it a broken heart or what

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Speaker 1: you will. Something of this sort is what killed the

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Speaker 1: old wolf. He was resting easily when found. His wounds

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Speaker 1: were superficial, but there was something in his grand old

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Speaker 1: spirit that could not broke capture, and nature more merciful

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Speaker 1: than he had ever been, granted him his release. So

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Speaker 1: that is the story of three Toes. It's like a

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Speaker 1: single tier situation. I feel like, you know, I'm like

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Speaker 1: an animal rights actors, right, I'm like, oh, I got

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Speaker 1: three toes Um. That's that's really a cool story. And

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Speaker 1: there's a lot of good what's the good literature people

419
00:22:43,600 --> 00:22:45,680
Speaker 1: can read around because there's a lot of good Um

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Speaker 1: you mentioned sheep um. I'm sure there's a lot of

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Speaker 1: other things people can step in. If you go to

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Speaker 1: the mediator dot com, there's a lot of links in

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Speaker 1: that articles that will take you to other places that

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Speaker 1: you'll be able to read about three toes. Um. There's

425
00:22:58,400 --> 00:23:00,720
Speaker 1: a lot written about him by Cutic go to magazine,

426
00:23:00,760 --> 00:23:03,080
Speaker 1: which is a great job of covering these old stories.

427
00:23:03,119 --> 00:23:05,760
Speaker 1: And then there's actually a statue dedicated to three Toes

428
00:23:06,160 --> 00:23:10,720
Speaker 1: at Buffalo, South Dakota where there's this whole long, uh

429
00:23:10,800 --> 00:23:13,399
Speaker 1: basically life history of three Toes and and all the

430
00:23:13,440 --> 00:23:16,159
Speaker 1: places that he made his kills and all the damage

431
00:23:16,160 --> 00:23:24,000
Speaker 1: he caused, and they're talking about that ending there you go. Um,

432
00:23:24,119 --> 00:23:27,159
Speaker 1: I imagine at any rate, you know, if you're not

433
00:23:27,200 --> 00:23:29,119
Speaker 1: going to the meeting. You're communre missing out on this stuff.

434
00:23:29,119 --> 00:23:32,040
Speaker 1: You had another story that you told on the live

435
00:23:32,080 --> 00:23:34,760
Speaker 1: stream the other night, Spencer that you can also find

436
00:23:34,760 --> 00:23:38,520
Speaker 1: our website about growing Morrell mushrooms. Or the first guy

437
00:23:38,560 --> 00:23:43,239
Speaker 1: that ever figured this out? Yeah, um, there was in

438
00:23:43,560 --> 00:23:48,000
Speaker 1: nine I think it was a student at San Francisco

439
00:23:48,080 --> 00:23:54,880
Speaker 1: State University who had done the unthinkable. He successfully harvested

440
00:23:55,640 --> 00:23:59,120
Speaker 1: lab grown Morale mushrooms. Now this is a reputation at

441
00:23:59,280 --> 00:24:03,280
Speaker 1: moral mushrooms have. You can't grow them, um in a lab,

442
00:24:03,359 --> 00:24:05,800
Speaker 1: you can't form them. And that's what makes them so

443
00:24:05,960 --> 00:24:09,440
Speaker 1: damn valuable. Uh, is that you have to go out

444
00:24:09,440 --> 00:24:11,240
Speaker 1: in nature and get these things. And it really makes

445
00:24:11,280 --> 00:24:15,119
Speaker 1: him an enigma. Anyway, this grad student, he had cracked

446
00:24:15,119 --> 00:24:18,119
Speaker 1: the case and he figured out how to grow them.

447
00:24:18,240 --> 00:24:23,040
Speaker 1: But three months before his patent was granted, he was

448
00:24:23,119 --> 00:24:25,320
Speaker 1: murdered in the middle of a night at a city

449
00:24:25,359 --> 00:24:29,320
Speaker 1: park in San Francisco. Um. So, this grad student he

450
00:24:29,440 --> 00:24:32,919
Speaker 1: left behind like a super lucrative contract with Domino's Pizza,

451
00:24:33,400 --> 00:24:35,760
Speaker 1: his patent, his public knowledge. Anybody can go see it

452
00:24:35,760 --> 00:24:38,720
Speaker 1: and try to replicate it. But like most patterns, are

453
00:24:38,760 --> 00:24:42,560
Speaker 1: patents that are have some secret formula. He obviously left

454
00:24:42,600 --> 00:24:46,359
Speaker 1: some things out, and so this man who was had

455
00:24:46,400 --> 00:24:48,639
Speaker 1: the only knowledge in the whole world of how to

456
00:24:48,680 --> 00:24:52,879
Speaker 1: grow these ungrowable mushrooms was then murdered. Uh and nobody

457
00:24:52,880 --> 00:24:56,359
Speaker 1: has been able to crack the case since. And you know,

458
00:24:56,400 --> 00:25:00,560
Speaker 1: to the long legend of South Dakota Badasses. This is

459
00:25:00,720 --> 00:25:04,320
Speaker 1: Spencer and his wonderful voice as he tells you stories

460
00:25:04,320 --> 00:25:07,840
Speaker 1: of ship you've never heard before. The baritone badass crooked

461
00:25:07,880 --> 00:25:12,040
Speaker 1: knows Jake, what was that? Creator was Jack Nicole, Tato Creek,

462
00:25:12,080 --> 00:25:16,000
Speaker 1: Johnny Staty Creek, Johnny the badass Baritone Spencer neuros. Well,

463
00:25:16,080 --> 00:25:19,399
Speaker 1: thanks for that, and please continue on earthing these little

464
00:25:19,680 --> 00:25:22,840
Speaker 1: tidbits and delivering us to them every week on the website.

465
00:25:22,880 --> 00:25:25,240
Speaker 1: We very much enjoy it um. And a lot of

466
00:25:25,240 --> 00:25:28,639
Speaker 1: this stuff is part of this series called Barroom Banter Um.

467
00:25:28,680 --> 00:25:32,040
Speaker 1: And the whole idea of the series of barroom banter

468
00:25:32,520 --> 00:25:34,840
Speaker 1: is to make you sound maybe not book smart, but

469
00:25:34,880 --> 00:25:38,639
Speaker 1: you'll sound really educated and interesting from a bar stool.

470
00:25:38,800 --> 00:25:40,840
Speaker 1: So that's the kind of information you're gonna find within

471
00:25:40,920 --> 00:25:43,479
Speaker 1: this series. And that's most of my knowledge I find out.

472
00:25:43,480 --> 00:25:46,840
Speaker 1: I don't really know anything. I've memorized a lot of things. Um,

473
00:25:46,960 --> 00:25:49,200
Speaker 1: I've written things down on my hand to read during

474
00:25:49,240 --> 00:25:51,400
Speaker 1: the podcast. I don't really know ship beyond that. So

475
00:25:51,720 --> 00:25:54,600
Speaker 1: um that's why that's why the meeting dot com is good.

476
00:25:54,720 --> 00:25:56,520
Speaker 1: I did get you know this reminds me An email

477
00:25:56,760 --> 00:26:02,000
Speaker 1: spencer on the topic of growing meat. Um uh. Frequent

478
00:26:02,040 --> 00:26:06,000
Speaker 1: emailer Andrew Lennards wrote in an accused Phil and I

479
00:26:06,080 --> 00:26:11,080
Speaker 1: of being involved in a conspiracy. Um, and I wasn't

480
00:26:11,080 --> 00:26:12,960
Speaker 1: gonna read this, but bringing that up, I think it's

481
00:26:12,960 --> 00:26:17,200
Speaker 1: worth so, he said. On January tenth, you wrote about

482
00:26:17,240 --> 00:26:20,439
Speaker 1: the uprising of lab grown meats, followed followed up by

483
00:26:20,480 --> 00:26:25,600
Speaker 1: talking about On an episode released on January the following week,

484
00:26:25,640 --> 00:26:28,600
Speaker 1: you fed your co workers fake meat, where you also

485
00:26:28,680 --> 00:26:30,439
Speaker 1: talked about the future of lab grown meat and its

486
00:26:30,480 --> 00:26:33,719
Speaker 1: ability to take over the world, citing some statistics you mentioned.

487
00:26:33,760 --> 00:26:37,000
Speaker 1: Within ten years, it is believed that seventy of beef

488
00:26:37,000 --> 00:26:40,320
Speaker 1: production could be flipped to the lab grown variety. It

489
00:26:40,400 --> 00:26:42,800
Speaker 1: was challenged by not only yourself but also Mr Ronnella.

490
00:26:44,119 --> 00:26:46,440
Speaker 1: I think that conversation was the tipping point. Fast forward

491
00:26:46,480 --> 00:26:49,119
Speaker 1: to this week and meat processing facilities are on the

492
00:26:49,200 --> 00:26:51,800
Speaker 1: verge of shutting down. What better time for the lab

493
00:26:51,840 --> 00:26:54,439
Speaker 1: grown meat industry to step in and begin their ascent

494
00:26:54,520 --> 00:26:59,640
Speaker 1: to the top, and seventy percent doesn't seem that far fetched,

495
00:26:59,720 --> 00:27:02,880
Speaker 1: now do they. I don't write this to blame you,

496
00:27:03,200 --> 00:27:05,960
Speaker 1: but out of concern. It seems awful fishy to me

497
00:27:06,040 --> 00:27:09,280
Speaker 1: that you bring this up mere months ago, and whyam

498
00:27:09,320 --> 00:27:12,760
Speaker 1: here we are now? Either you're in on it or

499
00:27:12,920 --> 00:27:15,800
Speaker 1: someone is is in on it too. Could it be

500
00:27:15,880 --> 00:27:20,800
Speaker 1: Phil Mango, Barry Kay Gilbert. I hope it's neither of

501
00:27:20,840 --> 00:27:23,480
Speaker 1: these two have nothing to do with the other, but

502
00:27:23,640 --> 00:27:26,960
Speaker 1: in this day and age, you can't be sure the

503
00:27:27,000 --> 00:27:29,879
Speaker 1: test tube meat and makers will stop at nothing to

504
00:27:30,000 --> 00:27:33,240
Speaker 1: get to stop gass cal farts from ruining our atmosphere.

505
00:27:34,119 --> 00:27:36,720
Speaker 1: The other option in this whole scenario is that staying

506
00:27:36,720 --> 00:27:39,119
Speaker 1: home for so long has really gotten to me. Only

507
00:27:39,160 --> 00:27:43,080
Speaker 1: time will tell. Take care Andrew Leonards, So I don't know.

508
00:27:43,280 --> 00:27:46,399
Speaker 1: I don't know. Phil. Do you have any official comment?

509
00:27:46,840 --> 00:27:49,960
Speaker 1: You're the pr head of the podcast. Okay, Well, I

510
00:27:50,000 --> 00:27:52,040
Speaker 1: just want to say that if anyone looks at my

511
00:27:52,080 --> 00:27:55,119
Speaker 1: travel records or my stock portfolios and noticed that I

512
00:27:55,160 --> 00:27:57,280
Speaker 1: made a mysterious trip to Wuhan at the end of

513
00:27:57,359 --> 00:28:01,040
Speaker 1: last year, or that I sold often bought a bunch

514
00:28:01,040 --> 00:28:04,399
Speaker 1: of stocks. Just don't even worry about it. It's not

515
00:28:04,480 --> 00:28:07,040
Speaker 1: a big deal. Um. But anyway, I just like to

516
00:28:07,040 --> 00:28:10,080
Speaker 1: say that I'm doing well and I'm excited to retire

517
00:28:10,119 --> 00:28:15,119
Speaker 1: at Phil God Phil all right. Well, I don't know.

518
00:28:15,200 --> 00:28:17,480
Speaker 1: I really don't have any official comment other than this

519
00:28:17,560 --> 00:28:21,760
Speaker 1: is possible. Uh, it is very possible that people will

520
00:28:21,800 --> 00:28:23,359
Speaker 1: be eating a lot more lab gurnd meat in the

521
00:28:23,440 --> 00:28:26,199
Speaker 1: very short short future. So Andrew, please keep on top

522
00:28:26,240 --> 00:28:29,439
Speaker 1: of this conspiracy theory. I'd like to hear where you

523
00:28:29,440 --> 00:28:32,359
Speaker 1: can take it from here. Very entertaining. But Pat, you

524
00:28:32,760 --> 00:28:35,800
Speaker 1: have one more thing before we get to Jesse. Griffith's

525
00:28:36,119 --> 00:28:38,800
Speaker 1: our great friends and restaurants toured down in Austin, Texas.

526
00:28:38,880 --> 00:28:41,840
Speaker 1: We were talking about with him. We talked last week

527
00:28:41,880 --> 00:28:44,760
Speaker 1: about what was like to run a restaurant during this time.

528
00:28:45,240 --> 00:28:48,520
Speaker 1: His restaurant is fully locally sourced down there in Austin, Texas,

529
00:28:48,520 --> 00:28:52,920
Speaker 1: so he has unique relationships with ranchers and and everyone

530
00:28:52,960 --> 00:28:55,560
Speaker 1: who brings the food in for his restaurant. So that's

531
00:28:55,560 --> 00:28:57,840
Speaker 1: a great conversation coming up in just a moment. But

532
00:28:57,920 --> 00:29:00,560
Speaker 1: before we get there, we're gonna let you rounded out

533
00:29:00,560 --> 00:29:03,680
Speaker 1: Pat with a story of a different type of vasectomy.

534
00:29:04,320 --> 00:29:07,560
Speaker 1: Um phils looking to get the human vasectomy here pretty

535
00:29:07,600 --> 00:29:10,680
Speaker 1: soon at the at the ripe young age of nine.

536
00:29:11,680 --> 00:29:16,280
Speaker 1: But you have a piece on uh deer vasectomies on

537
00:29:16,520 --> 00:29:19,560
Speaker 1: the mediator dot com and I think I think it

538
00:29:19,600 --> 00:29:21,720
Speaker 1: came from Spencer. Did it come from a conversation where

539
00:29:21,720 --> 00:29:24,640
Speaker 1: you and I were just I am, I am fascinated

540
00:29:24,640 --> 00:29:29,880
Speaker 1: by this, this sheer stupidity displayed in this realm of

541
00:29:29,880 --> 00:29:31,880
Speaker 1: of I don't even want to call it science, in

542
00:29:31,920 --> 00:29:35,280
Speaker 1: this realm of wildlife policy. Yeah, we were at your

543
00:29:35,280 --> 00:29:38,400
Speaker 1: desk one day talking about deer vasectomies and how we

544
00:29:38,440 --> 00:29:41,880
Speaker 1: could cover it, and we landed on that Pat was

545
00:29:41,960 --> 00:29:44,440
Speaker 1: the right man for the job. And after he turned

546
00:29:44,440 --> 00:29:47,520
Speaker 1: into piece, I think we were correct. We were absolutely correct.

547
00:29:47,560 --> 00:29:49,240
Speaker 1: So Pat, you want to take us through kind of

548
00:29:49,280 --> 00:29:53,960
Speaker 1: your your how you crack this egg open? Yeah? I

549
00:29:54,000 --> 00:29:57,000
Speaker 1: was well, first of all, Ben and Spencer. I really

550
00:29:57,080 --> 00:30:00,560
Speaker 1: was flattered, And you guys sent me that that assignment

551
00:30:00,560 --> 00:30:03,960
Speaker 1: because I really hadn't been following that. I knew the

552
00:30:04,080 --> 00:30:08,560
Speaker 1: people involved. I've been aware of this um white buffalo

553
00:30:08,640 --> 00:30:12,760
Speaker 1: for at least fifteen years, I guess. But um, like

554
00:30:12,840 --> 00:30:17,000
Speaker 1: anything I do when I'll take everything that Spencer sends me,

555
00:30:17,600 --> 00:30:20,680
Speaker 1: read that first and to start figuring out who I

556
00:30:20,800 --> 00:30:24,440
Speaker 1: know that would be good to comment on this. UM. Also,

557
00:30:24,440 --> 00:30:27,320
Speaker 1: I follow enough of the research to know what else

558
00:30:27,360 --> 00:30:31,440
Speaker 1: has been done in the terms of animals and trying

559
00:30:31,440 --> 00:30:37,360
Speaker 1: to use the human um solutions to various animal problems.

560
00:30:38,040 --> 00:30:40,120
Speaker 1: And you know they've they've tried things like in the

561
00:30:40,240 --> 00:30:44,840
Speaker 1: past UM basically I sterilizing the females, finding you know,

562
00:30:44,880 --> 00:30:49,320
Speaker 1: they tranquilize the females, take out the ovaries, the tubal ligations,

563
00:30:49,800 --> 00:30:52,160
Speaker 1: these kind of things, put them back out there and

564
00:30:52,160 --> 00:30:54,360
Speaker 1: see what happens. I hope the control is the dear herd.

565
00:30:54,400 --> 00:30:59,120
Speaker 1: But time and time out, these things don't work. But

566
00:30:59,200 --> 00:31:02,120
Speaker 1: this one was print because they targeted the mails take

567
00:31:02,200 --> 00:31:05,360
Speaker 1: you know, trying to get in all this sectomies and

568
00:31:05,440 --> 00:31:10,480
Speaker 1: they wanted to get like of these books UM given

569
00:31:11,360 --> 00:31:14,680
Speaker 1: as we call it, the Big Snip. And it was

570
00:31:14,760 --> 00:31:18,920
Speaker 1: interesting that just in the background reading Ben was one

571
00:31:18,920 --> 00:31:22,200
Speaker 1: of these one of these issues that so often you

572
00:31:22,640 --> 00:31:26,840
Speaker 1: see cities doing things like this and they do it

573
00:31:26,880 --> 00:31:31,280
Speaker 1: without really um knowing what the results might be. They

574
00:31:31,280 --> 00:31:33,960
Speaker 1: don't call experts. First of all, in this case, the

575
00:31:34,080 --> 00:31:36,520
Speaker 1: people involved in New York. You know, they had pretty good, um,

576
00:31:36,680 --> 00:31:40,680
Speaker 1: pretty good background from different researchers at Cornell University and

577
00:31:40,680 --> 00:31:43,960
Speaker 1: elsewhere showing that the odds of this working out we're

578
00:31:44,000 --> 00:31:47,560
Speaker 1: not good that um it's not even though Staten Island

579
00:31:47,680 --> 00:31:49,440
Speaker 1: this is where we're talking about it, and just said

580
00:31:49,440 --> 00:31:53,240
Speaker 1: that earlier. It's um Staten Island in New York City,

581
00:31:53,480 --> 00:31:57,320
Speaker 1: and it's about two miles by swimming across the river

582
00:31:57,440 --> 00:32:02,600
Speaker 1: from or across this um uh Inlet from New Jersey.

583
00:32:02,840 --> 00:32:06,160
Speaker 1: And basically in the eighteen hundreds they wiped out the

584
00:32:06,240 --> 00:32:08,800
Speaker 1: deerford in Staten Island. They all whatever it was there

585
00:32:08,880 --> 00:32:12,560
Speaker 1: was gone. But then um, as all these urban areas

586
00:32:12,600 --> 00:32:17,120
Speaker 1: start growing deer populations. While someone start trickling back into

587
00:32:17,160 --> 00:32:22,480
Speaker 1: Staten Island in the their bouts start swimming across, and

588
00:32:22,520 --> 00:32:25,440
Speaker 1: I think it's by the by two thousand fourteen, they

589
00:32:25,440 --> 00:32:28,120
Speaker 1: had a population of about eight hundred deer they estimated,

590
00:32:28,840 --> 00:32:31,600
Speaker 1: and so they had a growing problem. So they started

591
00:32:31,640 --> 00:32:37,040
Speaker 1: looking at how you solve this problem, and they basically

592
00:32:37,080 --> 00:32:39,560
Speaker 1: were told time and again that I'm the only way

593
00:32:39,560 --> 00:32:43,360
Speaker 1: you can control a problem deerford like that is by

594
00:32:43,440 --> 00:32:46,600
Speaker 1: lethal controls. You can do it by sharp shooting and

595
00:32:46,640 --> 00:32:48,920
Speaker 1: do it by bow and arrow If do it by

596
00:32:48,920 --> 00:32:52,920
Speaker 1: bow and arrows, using local citizens doesn't cost anything. And

597
00:32:53,640 --> 00:32:56,040
Speaker 1: these are not new ideas. These are ideas they've been

598
00:32:56,120 --> 00:32:59,920
Speaker 1: kicking it around, trying, you know, and doing for I know,

599
00:33:00,160 --> 00:33:02,680
Speaker 1: back in the eighties already, you know, when they started

600
00:33:02,680 --> 00:33:05,440
Speaker 1: having a lot of urban deer problems, so all the

601
00:33:05,560 --> 00:33:08,920
Speaker 1: different scenarios been were there. You know, they knew what

602
00:33:09,040 --> 00:33:12,320
Speaker 1: they're facing, and yet they go ahead and do it anyway.

603
00:33:12,360 --> 00:33:15,120
Speaker 1: They go ahead and start spending money to get these

604
00:33:15,160 --> 00:33:20,760
Speaker 1: deer these butts um snipped and as I reported, so

605
00:33:20,800 --> 00:33:28,160
Speaker 1: far they've've done one thousand, seven nineteen deasectomies and that

606
00:33:28,280 --> 00:33:31,040
Speaker 1: the population has come down a little bit apparently, but

607
00:33:31,840 --> 00:33:34,760
Speaker 1: you know there's still deer swimming from Staaten Island. And

608
00:33:34,960 --> 00:33:37,160
Speaker 1: I think one of the more interesting things that came up,

609
00:33:37,200 --> 00:33:40,239
Speaker 1: and I was reading on this and interviewing people, was

610
00:33:41,560 --> 00:33:45,200
Speaker 1: Cornell University up in upstate New York had tried something similar,

611
00:33:45,240 --> 00:33:48,120
Speaker 1: but with the females and what they found they when

612
00:33:48,120 --> 00:33:52,000
Speaker 1: they really cut off um, I mean, it's so these

613
00:33:52,080 --> 00:33:55,760
Speaker 1: these doors couldn't get pregnant. They I think there's the

614
00:33:55,840 --> 00:33:59,600
Speaker 1: tribal diegations they did well, the doors are still cycling,

615
00:33:59,640 --> 00:34:02,880
Speaker 1: there's coming in the estus, but they can't get pregnant anymore.

616
00:34:03,520 --> 00:34:07,800
Speaker 1: Well what's happening was they can't get pregnant, but the

617
00:34:07,920 --> 00:34:12,600
Speaker 1: shirt can draw in horny bucks and they're like because

618
00:34:12,800 --> 00:34:15,840
Speaker 1: every time they recycle, going to Estrius in twenty eight days,

619
00:34:16,600 --> 00:34:20,200
Speaker 1: you know, they there can smell that order and that

620
00:34:20,200 --> 00:34:22,759
Speaker 1: that that there was pharomonst from a great distance. So

621
00:34:23,400 --> 00:34:27,960
Speaker 1: they found that the buck population at Colonel University jumped

622
00:34:28,080 --> 00:34:31,880
Speaker 1: over eight in the next couple of years when these

623
00:34:31,920 --> 00:34:34,160
Speaker 1: bucks started coming and flooding in there and having this

624
00:34:34,320 --> 00:34:37,400
Speaker 1: NonStop sex action. Basically, can you imagine that? It sounds

625
00:34:37,400 --> 00:34:41,120
Speaker 1: like the worst dance club ever, man, the worst nightclub

626
00:34:41,160 --> 00:34:45,000
Speaker 1: I've ever been to. And they were able to show

627
00:34:45,000 --> 00:34:48,040
Speaker 1: it too that these this is um, you know, we

628
00:34:48,200 --> 00:34:50,480
Speaker 1: laugh book if you think, hey that if we're a buck,

629
00:34:50,560 --> 00:34:53,920
Speaker 1: I'd like that. But um, in the wildlife world, those

630
00:34:53,960 --> 00:34:56,840
Speaker 1: things don't know, you know, they're stressful. These those lost

631
00:34:57,320 --> 00:35:01,320
Speaker 1: almost all their the fat in their bone marrel. The

632
00:35:01,440 --> 00:35:04,920
Speaker 1: bucks were stressed. And the researchers are saying that if

633
00:35:04,920 --> 00:35:07,879
Speaker 1: this were happening with the herd like in the north

634
00:35:07,960 --> 00:35:10,040
Speaker 1: Woods of New York and the north Woods of the

635
00:35:10,160 --> 00:35:13,600
Speaker 1: Great Lake States. Those dead would not survive the winter.

636
00:35:13,719 --> 00:35:16,719
Speaker 1: They be dead. You lose that kind of stress, that

637
00:35:16,800 --> 00:35:20,840
Speaker 1: kind of fat loss. But yet New York City, he

638
00:35:21,160 --> 00:35:23,440
Speaker 1: starts spending money on this, and as they were doing

639
00:35:23,440 --> 00:35:27,120
Speaker 1: these vasectomies right now that the average cost of each

640
00:35:27,239 --> 00:35:30,560
Speaker 1: vasectomy in New York City and Staten Island is that

641
00:35:31,239 --> 00:35:33,680
Speaker 1: I think it's two dollars and eight hundred thirty five dollars.

642
00:35:34,760 --> 00:35:39,040
Speaker 1: And it's just I guess I look at this stuff, Ben,

643
00:35:39,120 --> 00:35:42,799
Speaker 1: I think you talk about a first world problem. What

644
00:35:43,080 --> 00:35:46,399
Speaker 1: where else in the world would people do this kind

645
00:35:46,400 --> 00:35:51,479
Speaker 1: of thing? And I love over the years, last couple years,

646
00:35:51,480 --> 00:35:54,480
Speaker 1: why you've been bringing out these different options people take

647
00:35:54,600 --> 00:35:59,160
Speaker 1: with them vegetarianism or the vegans and stuff. And I

648
00:35:59,239 --> 00:36:02,840
Speaker 1: go back to um my travels when I was in

649
00:36:02,880 --> 00:36:05,640
Speaker 1: the Navy back in the seventies, and I still remember

650
00:36:06,080 --> 00:36:09,720
Speaker 1: walking down the streets in Naples, Italy and seeing rabbits

651
00:36:09,719 --> 00:36:13,160
Speaker 1: hanging in meat markets and they kept their head on.

652
00:36:14,480 --> 00:36:16,400
Speaker 1: There's a skinned up body, but they kept their head on.

653
00:36:17,360 --> 00:36:20,200
Speaker 1: And I had someone with me that could speak a

654
00:36:20,239 --> 00:36:23,960
Speaker 1: little of tanging, So I asked that as the shop owner,

655
00:36:24,080 --> 00:36:26,000
Speaker 1: why they kept their head on the rabbit like that,

656
00:36:26,440 --> 00:36:28,719
Speaker 1: and he explained that, well, that way it shows the

657
00:36:28,760 --> 00:36:34,040
Speaker 1: customers that these are not cats. And you start thinking

658
00:36:34,040 --> 00:36:37,879
Speaker 1: about that. I have a brother who has spent all

659
00:36:38,080 --> 00:36:41,680
Speaker 1: his adult life as a business businessman in China. He

660
00:36:41,760 --> 00:36:44,560
Speaker 1: knows all about these, um these what they call him

661
00:36:44,600 --> 00:36:47,239
Speaker 1: what gardens or what they call these places, these wet

662
00:36:47,280 --> 00:36:51,040
Speaker 1: market Yeah what what gardens are a whole different thing?

663
00:36:51,120 --> 00:36:59,520
Speaker 1: What markets? What things confused? Here? Tread carefully, They're tread carefully. Yeah,

664
00:36:59,680 --> 00:37:03,840
Speaker 1: I'm sorry, um, but my brother's time and this and

665
00:37:03,880 --> 00:37:07,800
Speaker 1: this goes back. This is again not a novel thought.

666
00:37:08,239 --> 00:37:11,560
Speaker 1: But back in the eighties when Thomas coming home and

667
00:37:12,360 --> 00:37:16,919
Speaker 1: on vacation and whatever, he would talk about the real

668
00:37:16,960 --> 00:37:20,640
Speaker 1: world of China, the real world of Taiwan, and he

669
00:37:21,080 --> 00:37:23,080
Speaker 1: would he went into that part of his life as

670
00:37:23,120 --> 00:37:26,480
Speaker 1: a as a vegetarian, and with another year of working

671
00:37:26,520 --> 00:37:30,279
Speaker 1: over in China, he thought that the vegetarian lifestyle was

672
00:37:30,320 --> 00:37:32,600
Speaker 1: the most bourgeois thing he could think of to do,

673
00:37:33,000 --> 00:37:37,880
Speaker 1: just totally choice matter. Were only people who have wealth

674
00:37:38,520 --> 00:37:42,680
Speaker 1: cant Tho's kind of choices? And he quit. He quit

675
00:37:42,960 --> 00:37:45,799
Speaker 1: the vegetarian life delicacy and most people the world do

676
00:37:45,880 --> 00:37:48,319
Speaker 1: not have that choice. And I look at New York

677
00:37:48,360 --> 00:37:50,920
Speaker 1: City in this case and I think the only reason

678
00:37:50,960 --> 00:37:54,680
Speaker 1: this is taking place is because these people have money

679
00:37:54,880 --> 00:37:59,920
Speaker 1: and they can't confront basement and they created that. Carl,

680
00:38:00,000 --> 00:38:03,759
Speaker 1: Welcome to the great concluding concluding thought. Carl was the

681
00:38:03,760 --> 00:38:06,120
Speaker 1: first guy talked to in this article. But Carl, as

682
00:38:06,200 --> 00:38:10,239
Speaker 1: we all probably knows, frequent gust on the Meeting podcast

683
00:38:10,320 --> 00:38:13,200
Speaker 1: and he's been a number of my articles. He's a

684
00:38:13,320 --> 00:38:17,200
Speaker 1: uh doctorate what life management. But you know, you got

685
00:38:17,840 --> 00:38:22,960
Speaker 1: pointing out that you know, white tail dear bro the

686
00:38:23,080 --> 00:38:26,080
Speaker 1: involved as a pre species, They've always been hunted, They've

687
00:38:26,080 --> 00:38:29,279
Speaker 1: always had short lives, and so why not do we

688
00:38:29,360 --> 00:38:31,560
Speaker 1: want trend them into a zoo animal by by doing

689
00:38:31,560 --> 00:38:34,880
Speaker 1: this contracept is on them? So I um, I'm not

690
00:38:34,920 --> 00:38:38,480
Speaker 1: sure that's a great summary of my article, but if

691
00:38:38,480 --> 00:38:40,600
Speaker 1: you have any questions, I can probably flesh all parts

692
00:38:40,600 --> 00:38:43,239
Speaker 1: that left over. I think it's just interesting. It's one

693
00:38:43,239 --> 00:38:44,960
Speaker 1: of those topics, like many of the ones we try

694
00:38:44,960 --> 00:38:49,520
Speaker 1: to address here, that have so many like different parallel conversations,

695
00:38:49,520 --> 00:38:52,000
Speaker 1: are offshoots that takes you into different realms of thinking.

696
00:38:52,400 --> 00:38:55,520
Speaker 1: And I like the last time I try not to

697
00:38:55,520 --> 00:38:58,960
Speaker 1: do this too often. But the last time I interviewed

698
00:38:59,000 --> 00:39:02,759
Speaker 1: a hardened animal rights activists who I'm sure it would

699
00:39:02,760 --> 00:39:05,560
Speaker 1: be in favor of this over you know, what they

700
00:39:05,560 --> 00:39:08,719
Speaker 1: would say is the senseless killing of deer. They would

701
00:39:08,760 --> 00:39:10,799
Speaker 1: much rather see these of sectomies. In fact, I think

702
00:39:10,840 --> 00:39:13,560
Speaker 1: I talked to him about that. He was also at

703
00:39:13,560 --> 00:39:17,360
Speaker 1: the same time talking to me about bodily autonomy. You know,

704
00:39:17,400 --> 00:39:22,000
Speaker 1: this this idea that that these animals deserved bodily autonomy,

705
00:39:22,040 --> 00:39:24,799
Speaker 1: that we were inflicting upon them not only suffering, but

706
00:39:24,920 --> 00:39:28,239
Speaker 1: we were making choices for them as to how they

707
00:39:28,280 --> 00:39:31,520
Speaker 1: lived and died. And that just shows you know, I'm

708
00:39:31,520 --> 00:39:35,720
Speaker 1: sure this, this scenario, and these deer vasectomies are born

709
00:39:36,000 --> 00:39:38,960
Speaker 1: in some way out of that idea that there has

710
00:39:39,040 --> 00:39:42,960
Speaker 1: to be another way to adjust the natural order of

711
00:39:43,040 --> 00:39:47,719
Speaker 1: things to fit our own psyche in or whenever they

712
00:39:47,719 --> 00:39:52,319
Speaker 1: started in. So it's it's as as it's is borne

713
00:39:52,360 --> 00:39:54,680
Speaker 1: out by your peace and by looking at the science

714
00:39:54,960 --> 00:39:57,279
Speaker 1: and just looking at the results. I know that you

715
00:39:57,320 --> 00:39:59,920
Speaker 1: have an incredulous Mayor Bill de Blasio in your piece

716
00:40:00,000 --> 00:40:03,400
Speaker 1: where he just refuses to admit that this ain't working

717
00:40:03,640 --> 00:40:06,880
Speaker 1: and that he's spending and spending money, and he's spending

718
00:40:06,920 --> 00:40:11,520
Speaker 1: time trying to save horses from pulling carriages for for tourists.

719
00:40:12,000 --> 00:40:16,000
Speaker 1: But like, you know, there's this this idea that if

720
00:40:16,000 --> 00:40:19,640
Speaker 1: we continue down this this road, that eventually will be

721
00:40:19,719 --> 00:40:23,560
Speaker 1: able to through technology or through advancement, kind of control

722
00:40:23,719 --> 00:40:28,719
Speaker 1: these types of natural cohabitation issues. And you know, for

723
00:40:28,760 --> 00:40:30,520
Speaker 1: those of us to kind of have an eye on

724
00:40:30,560 --> 00:40:33,760
Speaker 1: the natural world and are looking around with a critical

725
00:40:33,800 --> 00:40:38,520
Speaker 1: eye moreover, this just seems like bullshit, UM, And it's

726
00:40:38,600 --> 00:40:40,560
Speaker 1: nice to you know, it's it's that's why it interests

727
00:40:40,560 --> 00:40:43,600
Speaker 1: me and why Spence and originally talked about it, because

728
00:40:43,600 --> 00:40:46,080
Speaker 1: I just think it you know, it's born of the

729
00:40:46,160 --> 00:40:49,280
Speaker 1: idea that these animals have rights and there's other ways

730
00:40:49,320 --> 00:40:52,200
Speaker 1: that we can address you know, what are our predator

731
00:40:52,200 --> 00:40:57,040
Speaker 1: prey issues? Um to any biologists or any any wildlife manager.

732
00:40:57,120 --> 00:40:59,480
Speaker 1: So it's it's just a it's a pretty deep like

733
00:40:59,719 --> 00:41:01,520
Speaker 1: the your piece is a great job of just kind

734
00:41:01,520 --> 00:41:04,440
Speaker 1: of presenting the story as it is, UM. But there's

735
00:41:04,520 --> 00:41:06,080
Speaker 1: you know, you can write a series of articles on

736
00:41:06,200 --> 00:41:09,759
Speaker 1: what this really means, UM, how a practice like this

737
00:41:09,840 --> 00:41:12,600
Speaker 1: comes comes about, how it's allowed the surface in the

738
00:41:12,600 --> 00:41:15,640
Speaker 1: way that it's surface um, you know, kind of the

739
00:41:15,719 --> 00:41:19,479
Speaker 1: type of politician that supports it's a little bit, it's

740
00:41:19,520 --> 00:41:22,239
Speaker 1: it's it's obvious, but there's some some nuance to it

741
00:41:22,280 --> 00:41:25,200
Speaker 1: that I really enjoyed. So thanks for that. I think

742
00:41:25,400 --> 00:41:29,560
Speaker 1: you know one thing I um, I mentioned it just

743
00:41:29,719 --> 00:41:34,239
Speaker 1: in a phrase passing through the article about um, you

744
00:41:34,320 --> 00:41:37,600
Speaker 1: know this is this this was being when this article

745
00:41:37,640 --> 00:41:40,600
Speaker 1: was being worked out? Was this when the COVID nineteam

746
00:41:40,640 --> 00:41:44,640
Speaker 1: was blowing up in New York City? And you can't

747
00:41:44,640 --> 00:41:48,080
Speaker 1: help but wonder when this when we get through COVID nineteen,

748
00:41:49,160 --> 00:41:51,759
Speaker 1: if in the future, when this kind of project comes

749
00:41:51,840 --> 00:41:54,240
Speaker 1: up to people to stop and say, is this really

750
00:41:55,040 --> 00:41:56,920
Speaker 1: how we want to spend our money? Is this really,

751
00:41:56,960 --> 00:42:00,840
Speaker 1: as a society the best approach? These are things, you know,

752
00:42:00,880 --> 00:42:02,800
Speaker 1: we have other things we've gotta be working on here,

753
00:42:03,400 --> 00:42:07,120
Speaker 1: but you know, who knows. I I couldn't help but

754
00:42:07,200 --> 00:42:10,080
Speaker 1: reflect on that a lot they're doing. Spent all us,

755
00:42:10,160 --> 00:42:14,439
Speaker 1: all us millions all this time, and here we didn't have.

756
00:42:15,080 --> 00:42:17,399
Speaker 1: We're seeing a whole few things we're really ready for.

757
00:42:18,080 --> 00:42:22,000
Speaker 1: You think while we found time for this though? Yeah, yeah,

758
00:42:22,040 --> 00:42:24,279
Speaker 1: you talk about that luxury and that you know, those

759
00:42:24,360 --> 00:42:28,200
Speaker 1: modern uh, the modern abilities we have to kind of

760
00:42:28,239 --> 00:42:31,480
Speaker 1: go down these luxurious roads, whether it be this or

761
00:42:31,480 --> 00:42:33,720
Speaker 1: something else, and those things are kind of those ideas

762
00:42:33,760 --> 00:42:36,399
Speaker 1: are kind of shrinking now because we know what well,

763
00:42:36,440 --> 00:42:38,600
Speaker 1: we have to be prepared for something like a pandemic,

764
00:42:38,680 --> 00:42:41,840
Speaker 1: and we can't really, um, you know, be frivolous with

765
00:42:41,880 --> 00:42:45,520
Speaker 1: anything because there there's this idea that there's a crisis

766
00:42:45,600 --> 00:42:49,680
Speaker 1: around every corner nowadays. Um, And so it looks like

767
00:42:49,800 --> 00:42:54,040
Speaker 1: to be you know, like I um, I think we've

768
00:42:54,080 --> 00:42:56,520
Speaker 1: all seen articles in the last few days, last week

769
00:42:56,640 --> 00:43:00,320
Speaker 1: or so about how many people are looking at no

770
00:43:00,719 --> 00:43:03,520
Speaker 1: you know, looking at different ways to get meat because

771
00:43:03,560 --> 00:43:06,600
Speaker 1: you know, they've been hit with financial losses, they don't

772
00:43:06,640 --> 00:43:08,520
Speaker 1: have jobs. They're trying to find other ways to get

773
00:43:08,520 --> 00:43:11,720
Speaker 1: meat in the housinet. I guess I'm thinking I'm reading

774
00:43:11,719 --> 00:43:14,840
Speaker 1: those articles. You don't hear anyone saying, man, it's a

775
00:43:14,840 --> 00:43:17,799
Speaker 1: good time to take up vegetarianism, it's a good time

776
00:43:17,840 --> 00:43:21,400
Speaker 1: to switch to vegans because no, I think in times

777
00:43:21,400 --> 00:43:23,520
Speaker 1: of crisis, I think people tend to go back and

778
00:43:23,680 --> 00:43:27,600
Speaker 1: uh the real world and what are real real solutions here?

779
00:43:27,680 --> 00:43:32,520
Speaker 1: So yeah, I'm I was getting drunk last night and

780
00:43:32,920 --> 00:43:35,719
Speaker 1: working on a piece that addressed some of that, and

781
00:43:35,840 --> 00:43:38,480
Speaker 1: I could find I had a nice title worked up

782
00:43:38,520 --> 00:43:44,000
Speaker 1: but included like zombies and more hunters and gun buying

783
00:43:44,280 --> 00:43:48,560
Speaker 1: and wildlife management during the apocalypse. So be looking looking

784
00:43:48,560 --> 00:43:51,719
Speaker 1: at for that tornado of a piece that I'm working

785
00:43:51,719 --> 00:43:53,759
Speaker 1: on right now for for the website. But yeah, you're

786
00:43:53,840 --> 00:43:57,839
Speaker 1: right man. This this this uh do your vasectomy thing

787
00:43:57,840 --> 00:44:00,759
Speaker 1: that we've been thinking about well before COVID ninety kind

788
00:44:00,760 --> 00:44:04,480
Speaker 1: of slides and a strangely into you know, the current

789
00:44:04,760 --> 00:44:07,840
Speaker 1: the current way of thinking, and people are thinking, well,

790
00:44:07,880 --> 00:44:10,120
Speaker 1: what's you know, what's an efficient use of our time?

791
00:44:10,160 --> 00:44:13,040
Speaker 1: How can we be self sufficient? Um, they're not thinking

792
00:44:13,080 --> 00:44:15,719
Speaker 1: about deer for sectis, that's for sure, unless you know,

793
00:44:16,200 --> 00:44:19,120
Speaker 1: Spencer comes out with some story about like four toes

794
00:44:19,800 --> 00:44:24,160
Speaker 1: the dough that could couldn't be couldn't be caught and

795
00:44:24,320 --> 00:44:26,919
Speaker 1: her ovaries were made of iron, you got anything like that.

796
00:44:28,440 --> 00:44:30,800
Speaker 1: But but I like how on this podcast we've covered

797
00:44:30,880 --> 00:44:34,959
Speaker 1: the two extreme ends of like wildlife management. In three

798
00:44:34,960 --> 00:44:38,239
Speaker 1: toes case, you had cowboys killing the very last gray

799
00:44:38,239 --> 00:44:40,439
Speaker 1: wolf on the Great Planes, and then in the deer

800
00:44:40,480 --> 00:44:44,480
Speaker 1: respect mes thing, you've got big city politicians trying to

801
00:44:44,520 --> 00:44:46,800
Speaker 1: save white tails when there's more deer on the planet

802
00:44:46,840 --> 00:44:49,799
Speaker 1: than there's ever been at any point in the history

803
00:44:49,840 --> 00:44:54,799
Speaker 1: of the Earth. So it's uh, they're funny contrasting scenarios,

804
00:44:54,960 --> 00:44:58,280
Speaker 1: with a lot of antipomorphizing going on in both cases.

805
00:44:58,520 --> 00:45:02,240
Speaker 1: And then we have Phil lone engineer and Bozeman looking

806
00:45:02,560 --> 00:45:06,120
Speaker 1: on the streets for a squirrel or some ship to

807
00:45:06,200 --> 00:45:10,200
Speaker 1: eat for dinner. Yes, please, I'll be wearing a bright

808
00:45:10,239 --> 00:45:13,360
Speaker 1: orange vest and a helmet with flashing lights. Just please

809
00:45:13,640 --> 00:45:17,440
Speaker 1: steer clear, thank you. I'll think of some sort of

810
00:45:17,480 --> 00:45:20,560
Speaker 1: contest where you can draw Phil or I don't know,

811
00:45:20,680 --> 00:45:24,640
Speaker 1: sing a song about Phil anything anything. You're just gonna

812
00:45:24,719 --> 00:45:27,440
Speaker 1: drain this well dry. And by well I mean Phil content.

813
00:45:27,480 --> 00:45:29,319
Speaker 1: People are gonna people are gonna be sick of me

814
00:45:29,520 --> 00:45:33,200
Speaker 1: because you said that I've admitted it. I've I've admitted it, Phil,

815
00:45:33,200 --> 00:45:35,239
Speaker 1: that I'm addicted to it. I would snort it off

816
00:45:35,239 --> 00:45:37,680
Speaker 1: a table. I I just it's it's such an addicting

817
00:45:37,719 --> 00:45:42,080
Speaker 1: I love contests. I love contests about you. Um, I

818
00:45:42,200 --> 00:45:45,000
Speaker 1: just I'm I'm I'm open about these things. So people

819
00:45:45,040 --> 00:45:47,239
Speaker 1: just you just have to deal with it, you know,

820
00:45:47,400 --> 00:45:49,520
Speaker 1: or get you know, you could get another job, but

821
00:45:49,880 --> 00:45:51,920
Speaker 1: it wouldn't be as fun as this. It wouldn't be

822
00:45:51,920 --> 00:45:56,080
Speaker 1: as fun as this. That's true. There's any consolation, Phil.

823
00:45:56,320 --> 00:45:59,560
Speaker 1: I've been in UM comedy events all the years, like

824
00:46:00,000 --> 00:46:03,719
Speaker 1: able discussions kind of discussions, and it seems like it's

825
00:46:03,719 --> 00:46:07,439
Speaker 1: a group of hunters and trappers and danglers, and there's

826
00:46:07,520 --> 00:46:11,120
Speaker 1: one person there who's an anti hunter or a non hunter.

827
00:46:11,640 --> 00:46:15,439
Speaker 1: They almost always start turning that person for their perspectives.

828
00:46:16,239 --> 00:46:18,840
Speaker 1: And so in many ways you're serving the same function

829
00:46:19,239 --> 00:46:23,479
Speaker 1: and a much flattered larger audience. Now, so yeah, that's

830
00:46:23,920 --> 00:46:26,160
Speaker 1: that's true. We talked about this before, Path, but we've

831
00:46:26,160 --> 00:46:28,440
Speaker 1: had people right in saying they don't want me to

832
00:46:28,520 --> 00:46:31,520
Speaker 1: hunt so that I keep my my fresh virgin prospector

833
00:46:31,800 --> 00:46:37,240
Speaker 1: Yeah don't. Yeah, don't ruined sweet Phil with your murder

834
00:46:37,239 --> 00:46:40,000
Speaker 1: in the deer and such. All right, all right, Phil,

835
00:46:40,000 --> 00:46:42,319
Speaker 1: Well we'll look forward to next week's report on and

836
00:46:42,360 --> 00:46:44,439
Speaker 1: maybe even an article for the Mediator dot com about

837
00:46:44,520 --> 00:46:48,680
Speaker 1: your your road kill journey. Start to finish narrative about

838
00:46:48,680 --> 00:46:51,319
Speaker 1: three thousand words, that's what I'm looking for. So that's sign.

839
00:46:52,400 --> 00:46:56,640
Speaker 1: Thank you Patrick, Thanks Spencer um As I said, two

840
00:46:56,680 --> 00:46:58,759
Speaker 1: of the best to do it on the Mediator dot com,

841
00:46:58,880 --> 00:47:01,440
Speaker 1: So go there and check it out. If not, I

842
00:47:01,480 --> 00:47:04,960
Speaker 1: don't like you, so stick with it. And now, like

843
00:47:05,000 --> 00:47:08,680
Speaker 1: I said earlier, a great conversation with a great Jesse Griffiths.

844
00:47:08,719 --> 00:47:11,239
Speaker 1: You heard him on this podcast before, you've heard him

845
00:47:11,280 --> 00:47:13,279
Speaker 1: on the Meteator podcast. I think he's gonna be an

846
00:47:13,320 --> 00:47:17,240
Speaker 1: episode of Metator TV coming up. Um, it's a great

847
00:47:17,320 --> 00:47:20,319
Speaker 1: as as we look at perspectives during this time. Jesse

848
00:47:20,520 --> 00:47:24,160
Speaker 1: has one of the most unique pieces of that puzzle

849
00:47:24,719 --> 00:47:28,040
Speaker 1: as a restaurant tour who already you know the ethos

850
00:47:28,080 --> 00:47:31,520
Speaker 1: of Dai Dewey. His restaurant in Austin was already locally sourced.

851
00:47:31,520 --> 00:47:34,960
Speaker 1: Everything came from a garden or a ranch or a

852
00:47:35,000 --> 00:47:38,840
Speaker 1: farmer within his region. And so he has kind of

853
00:47:38,840 --> 00:47:42,479
Speaker 1: a doubly unique look at what's going on right now.

854
00:47:42,880 --> 00:47:47,280
Speaker 1: And also we're gonna argue about peas, So enjoy Jesse Griffiths.

855
00:47:55,520 --> 00:48:01,359
Speaker 1: Jesse Griffiths, what's up Many, Nothing new this the last

856
00:48:01,360 --> 00:48:04,839
Speaker 1: time we talk. Everything's pretty steady down here. Well that's good.

857
00:48:04,920 --> 00:48:06,680
Speaker 1: That's one of the reasons I wanted to talk to you,

858
00:48:06,719 --> 00:48:09,760
Speaker 1: because because your report from down there was was pretty great.

859
00:48:09,840 --> 00:48:12,239
Speaker 1: But before we get to all that, you're you're in

860
00:48:12,280 --> 00:48:14,400
Speaker 1: the restaurant, Die Dewey right now, you're in your in

861
00:48:14,440 --> 00:48:18,120
Speaker 1: your place. Yeah, yeah, I've I've been here about five

862
00:48:18,160 --> 00:48:22,879
Speaker 1: weeks for the most part, kind of hunkered down here

863
00:48:22,880 --> 00:48:27,440
Speaker 1: at the restaurant. We're open, we're converted mostly into a

864
00:48:27,480 --> 00:48:30,400
Speaker 1: grocery store doing I'll take out you know. It's just

865
00:48:30,600 --> 00:48:33,799
Speaker 1: it's been been quite the pivot. So I've been here.

866
00:48:33,920 --> 00:48:37,160
Speaker 1: I've been here a bunch. Yeah, you're not sleeping there,

867
00:48:37,200 --> 00:48:44,160
Speaker 1: are you? Okay? All right, all right, well yeah, I

868
00:48:44,200 --> 00:48:47,719
Speaker 1: was gonna say, I bet you did well. Tell people like, well,

869
00:48:47,800 --> 00:48:50,080
Speaker 1: we'll give folks a minute here if you want to

870
00:48:50,120 --> 00:48:53,239
Speaker 1: return to our earlier podcasts and listen, We'll let you

871
00:48:53,280 --> 00:48:55,440
Speaker 1: go back and look into the th HC catalog and

872
00:48:55,480 --> 00:48:59,560
Speaker 1: find our earlier podcast with Jesse and we're back. Thanks

873
00:48:59,560 --> 00:49:01,840
Speaker 1: for listening into that. Um so, you know, you know

874
00:49:01,840 --> 00:49:03,440
Speaker 1: a little bit more about Jesse and what he does.

875
00:49:03,520 --> 00:49:07,120
Speaker 1: But the reason I wanted to chat with you among

876
00:49:07,160 --> 00:49:08,640
Speaker 1: the trade and a few Turkey stories here in a

877
00:49:08,640 --> 00:49:10,680
Speaker 1: minute was just to kind of get as a as

878
00:49:10,680 --> 00:49:15,080
Speaker 1: a restaurant tour and somebody who's who's kind of created

879
00:49:15,120 --> 00:49:18,960
Speaker 1: a specific niche down there in Austin, like what it's

880
00:49:19,040 --> 00:49:21,600
Speaker 1: like to to run a restaurant right now and in

881
00:49:21,719 --> 00:49:26,000
Speaker 1: specifically your situation. Yeah, I mean I think you have

882
00:49:26,080 --> 00:49:29,680
Speaker 1: to preface it too by how ongoing the situation is.

883
00:49:29,760 --> 00:49:32,400
Speaker 1: And at no point do I want to profess to

884
00:49:32,480 --> 00:49:35,600
Speaker 1: know what I'm talking about. Are the mild successes that

885
00:49:35,680 --> 00:49:40,680
Speaker 1: we've had, um may or may not carry uh So,

886
00:49:41,920 --> 00:49:45,000
Speaker 1: I mean it's it's definitely an interesting time. Uh We

887
00:49:45,000 --> 00:49:50,440
Speaker 1: We had two restaurants here in Austin, one being a

888
00:49:50,440 --> 00:49:53,120
Speaker 1: butcher's shop in full service restaurant that was open for

889
00:49:53,200 --> 00:49:56,040
Speaker 1: launch and dinner in a little taka that was open

890
00:49:56,239 --> 00:49:59,160
Speaker 1: downtown in a food hall. Food hall was the first

891
00:49:59,200 --> 00:50:01,799
Speaker 1: to close down, just because it was a really large

892
00:50:02,120 --> 00:50:04,520
Speaker 1: space and could accommodate a lot of people, so that

893
00:50:04,520 --> 00:50:09,160
Speaker 1: that got shut down pretty quick, um in early March.

894
00:50:09,440 --> 00:50:13,960
Speaker 1: And then we are able to carry on here because

895
00:50:14,000 --> 00:50:17,280
Speaker 1: we are we have a pretty strong grocery component already

896
00:50:17,280 --> 00:50:21,240
Speaker 1: being a a small butcher shop, but when we carried

897
00:50:21,280 --> 00:50:24,359
Speaker 1: some dry goods and other things like that, and then um,

898
00:50:24,680 --> 00:50:27,560
Speaker 1: for some reason, when when we designed this restaurant, I

899
00:50:28,520 --> 00:50:31,319
Speaker 1: insisted on having a takeout window but at the end

900
00:50:31,320 --> 00:50:34,440
Speaker 1: of the bar, which for the last almost six years

901
00:50:34,440 --> 00:50:38,160
Speaker 1: made no sense to me at all um in retrospect,

902
00:50:38,239 --> 00:50:41,400
Speaker 1: and then one day it's like a shining beacon and

903
00:50:41,480 --> 00:50:44,960
Speaker 1: I was like, oh, now that makes sense, um, And

904
00:50:44,960 --> 00:50:49,160
Speaker 1: now we can hand bags of food out this takeout

905
00:50:49,200 --> 00:50:54,640
Speaker 1: window for a contact free transaction, which is which is

906
00:50:54,680 --> 00:50:56,919
Speaker 1: part of the vernacular these days, which is a really

907
00:50:56,960 --> 00:50:59,640
Speaker 1: strange thing. I feel like some people have handed me

908
00:50:59,719 --> 00:51:04,759
Speaker 1: some liquor out of that window before or something. Yeah,

909
00:51:04,880 --> 00:51:07,840
Speaker 1: probably a beer. Yeah, it didn't get a lot of traffic.

910
00:51:07,880 --> 00:51:10,640
Speaker 1: That thing gets used now and I'm glad we have it,

911
00:51:11,480 --> 00:51:14,560
Speaker 1: but we sell it's it's it's strange how our our

912
00:51:14,680 --> 00:51:18,240
Speaker 1: our fortunes change. And I'm I sell. I sell butter

913
00:51:18,320 --> 00:51:22,400
Speaker 1: out of a window, and because butters butters of a

914
00:51:22,400 --> 00:51:25,759
Speaker 1: commodity these days, and along with the something we never

915
00:51:25,800 --> 00:51:29,040
Speaker 1: thought of, which was yeast, we sell yeast for making

916
00:51:29,080 --> 00:51:31,480
Speaker 1: bread and we just put it on the on the

917
00:51:31,520 --> 00:51:36,200
Speaker 1: online menu. People are it's insane how much yeast we sell,

918
00:51:37,360 --> 00:51:41,239
Speaker 1: the little things that if you had time traveled a

919
00:51:41,280 --> 00:51:43,879
Speaker 1: couple of months back and we're like, yeah, man, uh,

920
00:51:44,480 --> 00:51:46,680
Speaker 1: you know, two months from now, you're gonna sell yeast

921
00:51:46,719 --> 00:51:52,000
Speaker 1: out of a window, And I gotcha. But you know,

922
00:51:52,120 --> 00:51:56,480
Speaker 1: overall it we've had no choice but to adapt. Um,

923
00:51:56,600 --> 00:52:01,400
Speaker 1: we've had um moderate success, which I think can in

924
00:52:01,480 --> 00:52:05,560
Speaker 1: context and small business in general, because sometimes just mean survival.

925
00:52:06,120 --> 00:52:09,360
Speaker 1: So we're surviving, and we had to lay off a

926
00:52:09,520 --> 00:52:13,560
Speaker 1: vast majority of our employees upwards of forty people. But

927
00:52:13,920 --> 00:52:20,080
Speaker 1: we were able to hire back five people yesterday, so

928
00:52:20,120 --> 00:52:24,560
Speaker 1: it was a money us a celebration, and we brought

929
00:52:24,640 --> 00:52:26,600
Speaker 1: five more people back. So I think we have a

930
00:52:26,600 --> 00:52:31,760
Speaker 1: total of sixteen people working now who are working hard

931
00:52:31,800 --> 00:52:34,239
Speaker 1: on bringing the rest of the back as soon as

932
00:52:34,239 --> 00:52:36,879
Speaker 1: we can. Has that been, you know, going through that been?

933
00:52:37,000 --> 00:52:40,960
Speaker 1: I mean, I know what you put into your your restaurants,

934
00:52:40,960 --> 00:52:42,680
Speaker 1: and I know you what you put into your food,

935
00:52:43,080 --> 00:52:45,719
Speaker 1: and we'll cover some of that in a minute. But like,

936
00:52:45,800 --> 00:52:47,839
Speaker 1: I'm sure that was emotional for you going through that.

937
00:52:48,400 --> 00:52:51,800
Speaker 1: It was terrible, UM, laying off people that have worked

938
00:52:52,000 --> 00:52:59,640
Speaker 1: their asses off for you for almost six years or more. UM, heartbreak.

939
00:52:59,800 --> 00:53:01,480
Speaker 1: I mean that you can't really put into the words.

940
00:53:02,200 --> 00:53:04,560
Speaker 1: But on the on the flip side of that, I

941
00:53:04,560 --> 00:53:09,000
Speaker 1: will say that making that phone call yesterday and saying

942
00:53:09,040 --> 00:53:11,960
Speaker 1: you're coming back to work was it was a nice

943
00:53:12,000 --> 00:53:15,479
Speaker 1: people you know, it's joyous. Yeah. Not, well, we won't

944
00:53:15,520 --> 00:53:18,319
Speaker 1: Lnker too long on this on the crappy times. But

945
00:53:18,400 --> 00:53:20,040
Speaker 1: I mean, what are those what are those folks that

946
00:53:20,120 --> 00:53:22,520
Speaker 1: got laid off? Are they do they go straight to

947
00:53:22,600 --> 00:53:26,120
Speaker 1: the unemployment Have they have they been okay? Have have

948
00:53:26,200 --> 00:53:28,880
Speaker 1: they been struggling or or are there any particular stories

949
00:53:28,920 --> 00:53:32,000
Speaker 1: you want to tell. I mean, it's it's an obvious struggle.

950
00:53:32,040 --> 00:53:34,239
Speaker 1: They going to receive a pay cut. I mean, there

951
00:53:34,320 --> 00:53:38,240
Speaker 1: is federal help that came down the pipeline really quick.

952
00:53:38,880 --> 00:53:40,759
Speaker 1: I'm not gonna say it's the most efficient thing, but

953
00:53:40,920 --> 00:53:43,000
Speaker 1: in the circumstances, I think with the number of people

954
00:53:43,000 --> 00:53:46,200
Speaker 1: that were laid off that we have to give some credit.

955
00:53:46,280 --> 00:53:51,000
Speaker 1: I mean, it's just it's unprecedented across the board. So yeah,

956
00:53:51,080 --> 00:53:55,120
Speaker 1: they are, they are suffering. They don't have they've lost

957
00:53:55,360 --> 00:53:58,200
Speaker 1: a lot of their income, but there's unemployment and some

958
00:53:58,480 --> 00:54:03,080
Speaker 1: and some additional money available to them on a weekly

959
00:54:03,600 --> 00:54:06,759
Speaker 1: basis um. And then these new loans that are going

960
00:54:06,760 --> 00:54:12,040
Speaker 1: out supposedly too small businesses. UM. We were fortunate enough

961
00:54:12,120 --> 00:54:15,200
Speaker 1: to uh to receive one of those, and so that's

962
00:54:15,280 --> 00:54:19,360
Speaker 1: been informative and us rehiring people. But you know, I

963
00:54:19,360 --> 00:54:24,680
Speaker 1: think that yeah, there's a lot of kindness happening out there.

964
00:54:24,719 --> 00:54:27,200
Speaker 1: I think that people are are being very forgiving. I

965
00:54:27,239 --> 00:54:30,719
Speaker 1: think that coupled with that, you're not really are these

966
00:54:30,800 --> 00:54:34,880
Speaker 1: personally out spending a lot of money right now? Um,

967
00:54:34,920 --> 00:54:37,759
Speaker 1: it's a little easier to save money. So I think

968
00:54:37,760 --> 00:54:42,160
Speaker 1: that that's gonna at least mitigate, uh, some of the

969
00:54:42,239 --> 00:54:45,400
Speaker 1: financial losses that many people are seeing right now, but

970
00:54:46,280 --> 00:54:47,920
Speaker 1: by no means to do, I want to diminish that

971
00:54:48,080 --> 00:54:50,440
Speaker 1: with what they're going through. It's our top priority to

972
00:54:50,480 --> 00:54:55,399
Speaker 1: bring our people back. Yeah, that's a that's that's unbelievably tough.

973
00:54:55,440 --> 00:54:56,719
Speaker 1: And like I said, we've we've had a lot of

974
00:54:56,719 --> 00:54:59,520
Speaker 1: people on our show since we started. We did a

975
00:54:59,600 --> 00:55:02,040
Speaker 1: daily podcast for a while and then back to our

976
00:55:02,080 --> 00:55:05,239
Speaker 1: weekly So the last couple of weeks and um, it's

977
00:55:05,280 --> 00:55:07,960
Speaker 1: hard to find I haven't found any situation after hearing

978
00:55:07,960 --> 00:55:10,319
Speaker 1: a little bit from you via text that seemed as

979
00:55:10,400 --> 00:55:13,879
Speaker 1: real and it's it's just damaging as as what you're

980
00:55:13,920 --> 00:55:16,799
Speaker 1: going through on a daily basis, you know, just from

981
00:55:17,000 --> 00:55:20,160
Speaker 1: just from the economical standpoint, obviously health being what it is,

982
00:55:20,200 --> 00:55:23,279
Speaker 1: but um, it's it's good to see you guys are

983
00:55:23,320 --> 00:55:25,840
Speaker 1: standing up and still doing it. We should just cover that,

984
00:55:25,880 --> 00:55:30,040
Speaker 1: you know what died do we you know, was um

985
00:55:30,080 --> 00:55:33,200
Speaker 1: before all this still that to some extent now, but

986
00:55:33,280 --> 00:55:36,719
Speaker 1: what what maybe set it up to be um a

987
00:55:36,800 --> 00:55:39,440
Speaker 1: little bit more successful than other places given that, you know,

988
00:55:39,480 --> 00:55:41,520
Speaker 1: like you said, it's not a time to push that

989
00:55:41,560 --> 00:55:44,799
Speaker 1: in anybody's face or gloat about. It's just a reality. Yeah,

990
00:55:44,840 --> 00:55:48,800
Speaker 1: I mean tomorrow might be a new day. But UM,

991
00:55:48,840 --> 00:55:52,040
Speaker 1: I mean beyond beyond having the grocery aspect and the

992
00:55:52,080 --> 00:55:54,840
Speaker 1: fact that we we had a butcher counter that was

993
00:55:54,960 --> 00:55:59,200
Speaker 1: that was huge because there was a run on protein. Um.

994
00:55:59,360 --> 00:56:03,440
Speaker 1: I think more so the kind of ethos that we've

995
00:56:03,520 --> 00:56:09,480
Speaker 1: always stood by have become really profound these days. Um,

996
00:56:09,680 --> 00:56:17,160
Speaker 1: the connectivity between source and user has has really been

997
00:56:17,239 --> 00:56:19,839
Speaker 1: highlighted and you can't you just can't get away from

998
00:56:19,840 --> 00:56:25,160
Speaker 1: it right now where um, we're noticing more just how

999
00:56:25,239 --> 00:56:29,879
Speaker 1: quick it is that we can get product in when

1000
00:56:29,960 --> 00:56:34,000
Speaker 1: supply chains start to break. So UM, we've always bought

1001
00:56:34,000 --> 00:56:38,600
Speaker 1: our chickens from Jane, We've always bought our eggs from Chris,

1002
00:56:38,640 --> 00:56:41,840
Speaker 1: and we've always bought you know, vegetables from a variety

1003
00:56:41,880 --> 00:56:46,880
Speaker 1: of people. And when this started happening and everything was

1004
00:56:46,920 --> 00:56:53,239
Speaker 1: just confusing cluster, uh, we we realized that, you know,

1005
00:56:53,280 --> 00:56:56,040
Speaker 1: making that phone call and getting that that product in

1006
00:56:56,560 --> 00:57:00,759
Speaker 1: that day or the next was was it was way

1007
00:57:00,760 --> 00:57:05,200
Speaker 1: more profound because Um, first off, we didn't know when

1008
00:57:05,200 --> 00:57:07,239
Speaker 1: we were going to need things, and everything was very

1009
00:57:07,320 --> 00:57:09,080
Speaker 1: up in the air as far us how busy we

1010
00:57:09,080 --> 00:57:13,560
Speaker 1: were going to be. UM. And so the ability to

1011
00:57:13,600 --> 00:57:16,439
Speaker 1: make that call and have that person come and then

1012
00:57:16,480 --> 00:57:21,000
Speaker 1: cut that person to check immediately UM felt really good.

1013
00:57:21,040 --> 00:57:25,760
Speaker 1: It's very basic transaction and it felt UM it felt

1014
00:57:25,760 --> 00:57:30,280
Speaker 1: therapeutic or like like almost healing. UM when this this,

1015
00:57:30,560 --> 00:57:32,880
Speaker 1: I mean, everybody knows. This seemed to have come on

1016
00:57:33,040 --> 00:57:37,360
Speaker 1: very quickly, and we we had to go into a

1017
00:57:37,440 --> 00:57:40,120
Speaker 1: mode where we were just trying to use product up

1018
00:57:40,280 --> 00:57:43,320
Speaker 1: for a long time because our our business dropped by

1019
00:57:43,520 --> 00:57:49,880
Speaker 1: maybe within a matter three or four days, and so

1020
00:57:49,960 --> 00:57:51,680
Speaker 1: we were sitting on a lot of things and it

1021
00:57:52,360 --> 00:57:54,280
Speaker 1: at the time it seemed like we were never going

1022
00:57:54,400 --> 00:57:59,640
Speaker 1: to bring anything else into the restaurant. So that first

1023
00:57:59,680 --> 00:58:02,480
Speaker 1: time him where the chef and I were talking and

1024
00:58:03,040 --> 00:58:05,400
Speaker 1: she's like, we're at a chicken we need chicken. And

1025
00:58:05,680 --> 00:58:07,439
Speaker 1: at that point, at first I was like, we can't

1026
00:58:07,480 --> 00:58:10,600
Speaker 1: spend any money. We can't have any chicken because we

1027
00:58:10,640 --> 00:58:13,280
Speaker 1: can't spend money, and I realized, bubbles, we'll sell those chickens.

1028
00:58:13,320 --> 00:58:16,640
Speaker 1: I'm not I'm not a very strong business person. I

1029
00:58:16,960 --> 00:58:21,960
Speaker 1: don't understand I don't understand transactions very well. Um. But

1030
00:58:23,200 --> 00:58:26,080
Speaker 1: so that first day when we need a chicken and

1031
00:58:26,120 --> 00:58:28,520
Speaker 1: we called Jane, we're like, Jane, bring us chicken. And

1032
00:58:28,560 --> 00:58:31,240
Speaker 1: She's like, yes, no problem, I've got chicken. And she

1033
00:58:31,320 --> 00:58:33,760
Speaker 1: came and in the whole transaction happened, and it was

1034
00:58:34,840 --> 00:58:37,480
Speaker 1: it was great. I mean, there's something just so small

1035
00:58:38,000 --> 00:58:40,240
Speaker 1: that to see the money going the other way where

1036
00:58:40,560 --> 00:58:43,240
Speaker 1: you know, our neighborhood came, showed up, I bought some

1037
00:58:43,240 --> 00:58:44,840
Speaker 1: food for us. We had a little bit of money.

1038
00:58:44,880 --> 00:58:47,280
Speaker 1: We took that money, we invested that in some chickens,

1039
00:58:47,280 --> 00:58:49,520
Speaker 1: and then we sold those chickens. Uh. And then we

1040
00:58:49,560 --> 00:58:52,480
Speaker 1: gave that money to Jane the chicken farm. Uh. And

1041
00:58:52,520 --> 00:58:56,120
Speaker 1: so that felt really good. Um. And you know, out

1042
00:58:56,120 --> 00:59:00,320
Speaker 1: of all the heartache and suffering that this whole things

1043
00:59:00,600 --> 00:59:02,960
Speaker 1: is bringing, I think that there's a lot of amazing

1044
00:59:03,080 --> 00:59:11,800
Speaker 1: lessons grounding u interactions that are happening and refocusing us

1045
00:59:12,360 --> 00:59:14,400
Speaker 1: on important things. And the same thing could be said

1046
00:59:14,440 --> 00:59:17,160
Speaker 1: for you know, my my freezer at home. I mean,

1047
00:59:17,200 --> 00:59:21,160
Speaker 1: not to digress, too much from restaurant situation. But you know,

1048
00:59:22,080 --> 00:59:24,520
Speaker 1: I think everybody is looking at that, you know, those

1049
00:59:24,920 --> 00:59:27,720
Speaker 1: backstraps and ground or frozen fish or whatever and your

1050
00:59:27,760 --> 00:59:31,200
Speaker 1: freezer right now with a lot more respect. You know.

1051
00:59:31,240 --> 00:59:33,800
Speaker 1: I'm just like, oh, wow, that's one meal, two meal,

1052
00:59:33,880 --> 00:59:36,160
Speaker 1: three meal, four meal right there, you know, like you

1053
00:59:36,200 --> 00:59:38,200
Speaker 1: can you count it in it and it makes a

1054
00:59:38,240 --> 00:59:41,440
Speaker 1: big difference. And every one of those meals that's in

1055
00:59:41,480 --> 00:59:44,840
Speaker 1: your freezer is a meal that you don't need to

1056
00:59:45,600 --> 00:59:50,040
Speaker 1: tap out of the supply for other people. And I

1057
00:59:50,080 --> 00:59:52,480
Speaker 1: think that that's that makes a big difference to Yeah,

1058
00:59:52,520 --> 00:59:54,400
Speaker 1: I mean that you're you know, what you've been always

1059
00:59:54,400 --> 00:59:57,760
Speaker 1: been about and what Die Doe we was always about

1060
00:59:57,840 --> 01:00:00,200
Speaker 1: prior to this was kind of like it was proximity, right,

1061
01:00:00,200 --> 01:00:02,480
Speaker 1: it was. It was being able to touch and feel things,

1062
01:00:02,520 --> 01:00:06,000
Speaker 1: and and the hypothesis always being that that makes better

1063
01:00:06,120 --> 01:00:09,200
Speaker 1: for a better meal, It makes for better food and

1064
01:00:09,280 --> 01:00:12,760
Speaker 1: makes things more sustainable. I mean, that's that's being proven

1065
01:00:12,760 --> 01:00:15,880
Speaker 1: out here, not only in the the way your business

1066
01:00:15,880 --> 01:00:17,800
Speaker 1: could still run, but just kind of like what you

1067
01:00:17,840 --> 01:00:22,200
Speaker 1: were saying, the emotion of being able to buy sell,

1068
01:00:22,440 --> 01:00:25,919
Speaker 1: have this, you know, the distribution be like you pick

1069
01:00:26,040 --> 01:00:28,960
Speaker 1: handing money to someone in them handing your chicken, rather

1070
01:00:29,000 --> 01:00:32,920
Speaker 1: than having to be killed somewhere else by proxy and

1071
01:00:32,960 --> 01:00:35,760
Speaker 1: then driven to you and all those all the hands

1072
01:00:35,760 --> 01:00:37,440
Speaker 1: it has to touch before it gets to you. So

1073
01:00:38,200 --> 01:00:41,320
Speaker 1: that's the one thing and thinking about you and what

1074
01:00:41,360 --> 01:00:44,439
Speaker 1: you're going through that was most impactful to me, because

1075
01:00:44,480 --> 01:00:46,919
Speaker 1: we know everybody can't hunt, you know, not everybody's able

1076
01:00:46,920 --> 01:00:49,320
Speaker 1: to go do what you and I been doing the

1077
01:00:49,360 --> 01:00:51,400
Speaker 1: last couple of weeks and killing Turkey. So it's good

1078
01:00:51,440 --> 01:00:54,080
Speaker 1: to know that, you know, you have there's like an

1079
01:00:54,080 --> 01:00:58,640
Speaker 1: example here for what can be achieved. Yeah, I don't

1080
01:00:58,680 --> 01:01:02,240
Speaker 1: know if it's it's the type of UH model that

1081
01:01:02,240 --> 01:01:06,160
Speaker 1: that can be achieved across the board, but you know

1082
01:01:06,240 --> 01:01:09,000
Speaker 1: it is. It is working for us, and and it

1083
01:01:09,120 --> 01:01:12,280
Speaker 1: just it seems like I hate for such an emergency

1084
01:01:12,360 --> 01:01:16,560
Speaker 1: that really illuminate how important these connections are. But what happened,

1085
01:01:17,440 --> 01:01:19,080
Speaker 1: And you know, we're also seeing a lot of I

1086
01:01:19,080 --> 01:01:21,480
Speaker 1: mean here in Texas, we're seeing a lot of like

1087
01:01:21,640 --> 01:01:26,800
Speaker 1: mid size are are large businesses to UH doing really

1088
01:01:26,840 --> 01:01:30,160
Speaker 1: good things. The grocery chain h g B has been

1089
01:01:30,280 --> 01:01:35,640
Speaker 1: exemplary and how they're handling this and treating employees. I mean,

1090
01:01:35,760 --> 01:01:38,800
Speaker 1: some people might disagree, but from from what we're seeing

1091
01:01:38,920 --> 01:01:42,080
Speaker 1: h g B, which is if you're not from Texas areas,

1092
01:01:42,120 --> 01:01:46,920
Speaker 1: it's a big grocery store. Uh. They've they've behaved in

1093
01:01:46,960 --> 01:01:50,320
Speaker 1: a way that you wouldn't believe was a corporate based

1094
01:01:50,720 --> 01:01:53,640
Speaker 1: model at all. If they gave all their employees a

1095
01:01:54,000 --> 01:01:59,480
Speaker 1: rays within the week going down, they gave everybody two

1096
01:01:59,480 --> 01:02:03,680
Speaker 1: dollar and across the board. Um, they've started putting a

1097
01:02:03,680 --> 01:02:07,680
Speaker 1: lot of local restaurants meals in there in the stores

1098
01:02:07,840 --> 01:02:09,480
Speaker 1: so that you know, people can buy up to go.

1099
01:02:10,040 --> 01:02:13,120
Speaker 1: Since they're supporting restaurants as well, you know, it's doing

1100
01:02:13,120 --> 01:02:15,240
Speaker 1: a lot of safety measures and perhaps sides and stuff

1101
01:02:15,280 --> 01:02:18,400
Speaker 1: like that. So um, it's not always the small models

1102
01:02:18,400 --> 01:02:21,440
Speaker 1: that are. You know, they're the most romantic, you know.

1103
01:02:21,520 --> 01:02:24,200
Speaker 1: And I can talk about buying chicken from Jane, you

1104
01:02:24,240 --> 01:02:26,720
Speaker 1: know that, and that serves us well, But that's ninety

1105
01:02:26,800 --> 01:02:29,880
Speaker 1: chickens a week. We can't feed the metropolitan area. So

1106
01:02:29,960 --> 01:02:33,240
Speaker 1: it's good to see and give credit due also to

1107
01:02:33,600 --> 01:02:35,920
Speaker 1: some of the larger models that I think are out

1108
01:02:35,960 --> 01:02:39,440
Speaker 1: there and doing great things. Um, because it it is

1109
01:02:39,560 --> 01:02:41,920
Speaker 1: I mean, if you're in our industry right now, is

1110
01:02:42,480 --> 01:02:45,959
Speaker 1: about getting food to people. Um, and supporting the people

1111
01:02:45,960 --> 01:02:48,400
Speaker 1: that make the foods so that on the other interness

1112
01:02:48,520 --> 01:02:51,640
Speaker 1: that they're they're viable. Yeah. It kind of amplifies every

1113
01:02:51,640 --> 01:02:53,520
Speaker 1: part of the process, right, I mean, you have to

1114
01:02:53,560 --> 01:02:56,200
Speaker 1: think about It's not that you can just like fill

1115
01:02:56,240 --> 01:02:57,920
Speaker 1: out an order form and get the stuff. You have

1116
01:02:57,960 --> 01:03:01,120
Speaker 1: to think about every little uh uh. You know link

1117
01:03:01,160 --> 01:03:03,200
Speaker 1: in the chain. And my wife worked for h g

1118
01:03:03,280 --> 01:03:05,640
Speaker 1: B when we were um we were there. She was

1119
01:03:05,720 --> 01:03:07,320
Speaker 1: in catering for HGB when we were there, and I

1120
01:03:07,360 --> 01:03:11,360
Speaker 1: always thought they were that chain in and of themselves

1121
01:03:12,000 --> 01:03:14,840
Speaker 1: was they were fantastic people. Um So I'm not surprised

1122
01:03:14,840 --> 01:03:17,640
Speaker 1: at that. I'm not surprised that that's where they would land.

1123
01:03:17,680 --> 01:03:19,720
Speaker 1: But you know, I remember being in die Dewey and

1124
01:03:19,800 --> 01:03:21,560
Speaker 1: just the first time I was ever in there, I

1125
01:03:21,680 --> 01:03:24,400
Speaker 1: was working on an article about your place and kind

1126
01:03:24,400 --> 01:03:26,840
Speaker 1: of how you came came to be there and came

1127
01:03:26,880 --> 01:03:29,080
Speaker 1: to have that. I just remember also like going in

1128
01:03:29,120 --> 01:03:32,920
Speaker 1: there and there's freshnes seasoned vegetables and locally killed wild

1129
01:03:32,960 --> 01:03:36,400
Speaker 1: boar and pompano from the coast, and I just remember

1130
01:03:37,000 --> 01:03:41,040
Speaker 1: like making notes like vibrant and just something something about

1131
01:03:41,560 --> 01:03:43,640
Speaker 1: you know, the walk in freezer at your place seemed

1132
01:03:43,680 --> 01:03:47,560
Speaker 1: like it was just overflowing with stuff. Um, and it

1133
01:03:47,680 --> 01:03:50,520
Speaker 1: always kind of like it's apparent in the food, you know,

1134
01:03:50,720 --> 01:03:54,960
Speaker 1: not to just pour on compliments, but it's and it's

1135
01:03:55,000 --> 01:03:59,560
Speaker 1: like we're just kind of enabling of a lot of it,

1136
01:03:59,600 --> 01:04:01,440
Speaker 1: I mean, which in our food really simply you know,

1137
01:04:01,560 --> 01:04:03,440
Speaker 1: this is not a place that you go and get

1138
01:04:03,440 --> 01:04:05,920
Speaker 1: this super crazy high end stuff. You know, a lot

1139
01:04:05,960 --> 01:04:08,280
Speaker 1: of you know, salt pepper on a grill and you know,

1140
01:04:08,400 --> 01:04:11,160
Speaker 1: simple salads things like that, and that's that's why we

1141
01:04:11,440 --> 01:04:15,680
Speaker 1: try to keep it. Um. Yeah, ingredients and connections do

1142
01:04:15,760 --> 01:04:18,040
Speaker 1: make a difference. I've always said that. Now it's like,

1143
01:04:18,720 --> 01:04:20,840
Speaker 1: I mean, I think people, I think people can really

1144
01:04:20,880 --> 01:04:23,560
Speaker 1: see the difference now. And we've we've learned a lot

1145
01:04:23,600 --> 01:04:28,320
Speaker 1: too from what customers want. Like I said, yeast bandanas

1146
01:04:29,960 --> 01:04:33,120
Speaker 1: merch that those bandanas we bought like a year ago

1147
01:04:33,360 --> 01:04:37,640
Speaker 1: for merch, so like crazy right now, um in yeast

1148
01:04:37,680 --> 01:04:41,360
Speaker 1: and flour and eggs and and milk and and things

1149
01:04:41,440 --> 01:04:45,840
Speaker 1: that you know, I'm I'm actually really happy to provide.

1150
01:04:46,000 --> 01:04:49,360
Speaker 1: I kind of like being this like nice local grocery

1151
01:04:49,360 --> 01:04:52,160
Speaker 1: store because it's it's just keeping the money flowing for now.

1152
01:04:52,600 --> 01:04:55,520
Speaker 1: Then again not to get over confidence. We don't know

1153
01:04:55,560 --> 01:04:59,200
Speaker 1: what the future holds, but we have to keep a

1154
01:04:59,320 --> 01:05:03,360
Speaker 1: level of activity about it, just you know, in humor

1155
01:05:03,400 --> 01:05:08,240
Speaker 1: and whatnot that to keep us just above water and

1156
01:05:09,320 --> 01:05:12,600
Speaker 1: doing our job. It's just just getting food out. Has

1157
01:05:12,640 --> 01:05:17,280
Speaker 1: there been any you know, customer interactions that were notable

1158
01:05:17,400 --> 01:05:19,640
Speaker 1: or just things that I know, I know what they're buying,

1159
01:05:19,720 --> 01:05:23,320
Speaker 1: but just like the feeling that that people get. I

1160
01:05:23,360 --> 01:05:28,120
Speaker 1: know that I've had the weirdest quarantine feelings and kind

1161
01:05:28,120 --> 01:05:30,760
Speaker 1: of some of the exertentraal stuff going to Costco or

1162
01:05:30,800 --> 01:05:33,440
Speaker 1: going to some of these places and just you know,

1163
01:05:33,880 --> 01:05:38,760
Speaker 1: feeling off, feeling like things are are you know, as

1164
01:05:38,760 --> 01:05:41,000
Speaker 1: different as they seem on TV. Um. Do you have

1165
01:05:41,040 --> 01:05:43,680
Speaker 1: any examples of that there? Well, I'll give I mean

1166
01:05:43,720 --> 01:05:48,640
Speaker 1: an overarching thing is there's been an almost universal kindness. UM.

1167
01:05:48,920 --> 01:05:53,320
Speaker 1: I think I hate to describe it as a forced sympathy,

1168
01:05:53,400 --> 01:05:56,640
Speaker 1: but when everybody in the in the world kind of

1169
01:05:56,640 --> 01:06:00,360
Speaker 1: has to take a bite of this sandwich, um, it

1170
01:06:00,760 --> 01:06:05,040
Speaker 1: does force a little bit of empathy. And UM, I think, uh,

1171
01:06:05,400 --> 01:06:08,200
Speaker 1: you know, the restaurant industry has always been what it is.

1172
01:06:08,240 --> 01:06:12,760
Speaker 1: I and people can be possibly a little hypercritical of

1173
01:06:12,760 --> 01:06:16,040
Speaker 1: of things or speak out of out of their knowledge

1174
01:06:16,040 --> 01:06:18,920
Speaker 1: base about I'm just gonna say that talking to you,

1175
01:06:19,000 --> 01:06:26,520
Speaker 1: yelp um. But I feel like because it hit it

1176
01:06:26,720 --> 01:06:31,560
Speaker 1: hit this industry so hard. Again, not to deprecate, I mean,

1177
01:06:31,560 --> 01:06:34,160
Speaker 1: we're not frontline workers, we're not in the e R,

1178
01:06:34,320 --> 01:06:37,120
Speaker 1: we're not we're not l e oh, we're not firefighter's

1179
01:06:37,160 --> 01:06:41,720
Speaker 1: anything like that. But it was at least portrayed as

1180
01:06:41,800 --> 01:06:46,440
Speaker 1: hitting our industry pretty hard. And there's I mean, the customers,

1181
01:06:47,560 --> 01:06:52,080
Speaker 1: almost every one of them has been incredibly kind, even

1182
01:06:52,120 --> 01:06:54,360
Speaker 1: if it's just the way you greet and talk to

1183
01:06:54,440 --> 01:06:57,200
Speaker 1: them and kind of maybe joke around or you know,

1184
01:06:57,600 --> 01:07:01,120
Speaker 1: have try to have an interaction with them. Um. I

1185
01:07:01,160 --> 01:07:04,880
Speaker 1: mean that's a that's a broad based approach, you know.

1186
01:07:05,320 --> 01:07:08,680
Speaker 1: I you know, to see positives out of it, I'd

1187
01:07:08,680 --> 01:07:11,320
Speaker 1: say that just like it has brought a lot of

1188
01:07:11,360 --> 01:07:13,760
Speaker 1: good out of people. I told somebody the other day,

1189
01:07:13,840 --> 01:07:17,840
Speaker 1: you know, I've had a lot of people like call

1190
01:07:18,440 --> 01:07:20,600
Speaker 1: you know, just these are random cold calls, you know,

1191
01:07:20,800 --> 01:07:22,760
Speaker 1: or emails and things like that. You you have a

1192
01:07:22,760 --> 01:07:25,960
Speaker 1: lot of people trying to sell you something that you

1193
01:07:26,080 --> 01:07:29,480
Speaker 1: don't need. And then at the same time, there's a

1194
01:07:29,480 --> 01:07:33,840
Speaker 1: lot of people that will give you what you do. Um,

1195
01:07:33,880 --> 01:07:35,560
Speaker 1: you know, like some of our are a lot of

1196
01:07:35,600 --> 01:07:39,440
Speaker 1: the producers, farmers, ranches and stuff. We'll just find like

1197
01:07:39,680 --> 01:07:42,800
Speaker 1: extra things you know in there, like oh, here's an

1198
01:07:42,800 --> 01:07:46,640
Speaker 1: extra brisket, here's two dozen carots, or you know, give

1199
01:07:46,680 --> 01:07:50,000
Speaker 1: this to your laid off staff, or here's you know,

1200
01:07:51,360 --> 01:07:55,600
Speaker 1: four cases of Rambler sparkling water for your staff. And

1201
01:07:55,720 --> 01:07:58,520
Speaker 1: it's like, cool, thank you. I mean, it's just it's

1202
01:07:58,560 --> 01:08:01,800
Speaker 1: it's been great, you know, in that context of just

1203
01:08:01,840 --> 01:08:05,280
Speaker 1: how kind people can get in these days. You know,

1204
01:08:06,240 --> 01:08:08,880
Speaker 1: we're led to believe that everything is so divided and

1205
01:08:08,920 --> 01:08:12,880
Speaker 1: negative that you know, when something bad happens, then we

1206
01:08:13,120 --> 01:08:19,479
Speaker 1: really do kind of for the most part, band together somewhere. Yeah,

1207
01:08:19,560 --> 01:08:22,200
Speaker 1: I said, it's it's a time for We've been trying

1208
01:08:22,240 --> 01:08:23,760
Speaker 1: to do this here in the show as much as

1209
01:08:23,800 --> 01:08:26,479
Speaker 1: we can, just like get as many different perspectives as

1210
01:08:26,520 --> 01:08:28,760
Speaker 1: we can on this thing, because it is just such

1211
01:08:28,800 --> 01:08:33,040
Speaker 1: a slow moving tragedy that it doesn't have any like

1212
01:08:33,080 --> 01:08:36,000
Speaker 1: defining moments. Something bad didn't happen all at once, and

1213
01:08:36,360 --> 01:08:38,799
Speaker 1: we're left to react for months. Were just like reacting

1214
01:08:38,840 --> 01:08:43,559
Speaker 1: every day, every hour, UM to it. And so I

1215
01:08:43,680 --> 01:08:47,280
Speaker 1: personally try to like do I just ignore the slow

1216
01:08:47,320 --> 01:08:50,000
Speaker 1: moving tragedy and try to tell hunting stories or do

1217
01:08:50,040 --> 01:08:52,360
Speaker 1: we address these things that that we're all thinking, how

1218
01:08:52,360 --> 01:08:55,960
Speaker 1: do we address them? Because everybody's going through such different

1219
01:08:56,000 --> 01:08:58,080
Speaker 1: you know, being in Austin where you are and and

1220
01:08:58,120 --> 01:09:01,120
Speaker 1: being a bosom where I am. It's so for um,

1221
01:09:01,160 --> 01:09:03,559
Speaker 1: you know, we haven't been I was looking the other day.

1222
01:09:03,560 --> 01:09:07,479
Speaker 1: Our county has zero deaths from COVID nineteen so many

1223
01:09:07,560 --> 01:09:12,120
Speaker 1: it feels so different here, um, you know than it

1224
01:09:12,160 --> 01:09:13,920
Speaker 1: does there. So it's it's it's just good to hear

1225
01:09:13,960 --> 01:09:16,599
Speaker 1: your perspective from it. Have you seen just the changes

1226
01:09:16,680 --> 01:09:19,240
Speaker 1: in in the town of Austin too, like what the

1227
01:09:19,320 --> 01:09:22,599
Speaker 1: day to day working is over there? Yeah, I mean,

1228
01:09:22,640 --> 01:09:29,599
Speaker 1: of course, I feel like, um, culturally Austin has taken

1229
01:09:29,640 --> 01:09:33,120
Speaker 1: the lockdown pretty seriously for the most part, that people

1230
01:09:33,160 --> 01:09:37,800
Speaker 1: were proactive about it. And also I mean, it's just

1231
01:09:37,880 --> 01:09:41,680
Speaker 1: it's hard to know what exactly to do in this situation.

1232
01:09:41,760 --> 01:09:44,479
Speaker 1: There's there's a few opinions. If you go on the internet,

1233
01:09:45,040 --> 01:09:47,960
Speaker 1: you might you might be able to explore some of

1234
01:09:47,960 --> 01:09:54,040
Speaker 1: those opinions what's going on right now? And um, but

1235
01:09:54,280 --> 01:09:58,639
Speaker 1: beyond that, I feel like as a community, Austin kind

1236
01:09:58,680 --> 01:10:05,280
Speaker 1: of just locked themselves down. I mean there's obvious exceptions. Um.

1237
01:10:05,320 --> 01:10:08,599
Speaker 1: You know, it's a very outdoorsy community. So people in

1238
01:10:08,640 --> 01:10:12,960
Speaker 1: the streets at night are full of people walking. Um.

1239
01:10:13,080 --> 01:10:17,719
Speaker 1: And our governor was one of the governors that opened

1240
01:10:17,880 --> 01:10:23,559
Speaker 1: up hunting and fishing as as essential activities. Um. And

1241
01:10:23,600 --> 01:10:26,240
Speaker 1: I have never seen my lake and that is my

1242
01:10:26,360 --> 01:10:30,040
Speaker 1: lake by the way, uh so busy. Before it was

1243
01:10:30,080 --> 01:10:33,680
Speaker 1: a parade of kayaks up there. This this for croppy season. Um,

1244
01:10:33,840 --> 01:10:36,880
Speaker 1: you know, the rare morning or evening, I'd get off

1245
01:10:36,960 --> 01:10:41,400
Speaker 1: and go distance. Um, there is a lot of people

1246
01:10:41,880 --> 01:10:44,640
Speaker 1: up there. Um. You know, when you get out of

1247
01:10:44,640 --> 01:10:46,920
Speaker 1: the rural communities just outside of Austin, there's kind of

1248
01:10:46,920 --> 01:10:49,720
Speaker 1: a spectrum that it seems you'll see you see less

1249
01:10:49,760 --> 01:10:53,320
Speaker 1: masks and less gloves, things like that. Um And I

1250
01:10:53,360 --> 01:10:56,360
Speaker 1: don't know how that plays out. Um, you know, it's

1251
01:10:56,400 --> 01:10:59,519
Speaker 1: just this is a new thing for everyone. So it's

1252
01:10:59,560 --> 01:11:05,519
Speaker 1: a real us and then altruism, I guess, yeah, in

1253
01:11:05,520 --> 01:11:07,880
Speaker 1: a lot of ways for sure. Well, i'd like I said,

1254
01:11:07,920 --> 01:11:11,559
Speaker 1: it's just good to hear you know, the you know

1255
01:11:11,680 --> 01:11:14,479
Speaker 1: kind of how elastic what you've built is and what

1256
01:11:14,560 --> 01:11:17,960
Speaker 1: it what it's been able to do. And and I'm

1257
01:11:18,000 --> 01:11:20,679
Speaker 1: sure it will continue with with its elasticity, and hopefully

1258
01:11:20,680 --> 01:11:22,160
Speaker 1: we'll get some more reports from me that you can

1259
01:11:22,240 --> 01:11:26,240
Speaker 1: hire everybody back and um, you know you can be

1260
01:11:26,880 --> 01:11:29,200
Speaker 1: you know, it seems like maybe in the next couple

1261
01:11:29,200 --> 01:11:31,200
Speaker 1: of weeks or months we can get back to some

1262
01:11:31,280 --> 01:11:34,240
Speaker 1: semblance of normal and you guys have less tables or

1263
01:11:35,120 --> 01:11:38,280
Speaker 1: or whatever and get it back. You have any any

1264
01:11:38,320 --> 01:11:41,320
Speaker 1: thoughts about kind of the future of all this, Well,

1265
01:11:41,360 --> 01:11:44,479
Speaker 1: it's I think it's gonna indelibly change everything. Like one

1266
01:11:44,520 --> 01:11:48,720
Speaker 1: means that we need Fable and Fabled coming back, you know.

1267
01:11:48,840 --> 01:11:51,160
Speaker 1: And it's and I doubt it's gonna be one day.

1268
01:11:51,400 --> 01:11:54,400
Speaker 1: You know, it's gonna be as as steep as the

1269
01:11:54,439 --> 01:11:57,840
Speaker 1: transition in was. I think the transition out is going

1270
01:11:57,920 --> 01:12:02,320
Speaker 1: to be a real tape slope. Um. So it's going

1271
01:12:02,360 --> 01:12:06,040
Speaker 1: to affect a way that business is done. I mean,

1272
01:12:05,800 --> 01:12:08,680
Speaker 1: I consider the handshake alone, you know, like what what

1273
01:12:08,800 --> 01:12:11,440
Speaker 1: happens to the handshake? You know, it's like I mean culturally,

1274
01:12:12,880 --> 01:12:16,400
Speaker 1: and then and then going to a restaurant, sitting next

1275
01:12:16,560 --> 01:12:20,759
Speaker 1: to a table that's two feet away, um, a server

1276
01:12:21,240 --> 01:12:23,080
Speaker 1: hands you your food. I mean, these are things that

1277
01:12:23,280 --> 01:12:25,760
Speaker 1: just seem very foreign right now. So I think the

1278
01:12:25,800 --> 01:12:28,599
Speaker 1: transition back into that is gonna is that's the great

1279
01:12:28,640 --> 01:12:31,680
Speaker 1: unknown that we're not even occupying our mindspace with that

1280
01:12:31,800 --> 01:12:34,200
Speaker 1: right now, Like it's We're just gonna have to let

1281
01:12:34,200 --> 01:12:37,599
Speaker 1: that define itself when it happens. Um. I will say that,

1282
01:12:37,720 --> 01:12:40,559
Speaker 1: you know, I feel like take out, like to go

1283
01:12:40,680 --> 01:12:44,640
Speaker 1: food and grocery will be a lasting component. Um. And

1284
01:12:44,680 --> 01:12:47,880
Speaker 1: I'm not sorry are sad about that. I kind of

1285
01:12:47,960 --> 01:12:50,600
Speaker 1: enjoy that. It just hadds more to the spectrum of

1286
01:12:50,760 --> 01:12:53,160
Speaker 1: food products that we're able to offer. And if it

1287
01:12:53,280 --> 01:12:57,120
Speaker 1: services our community better than so be it. Um. So

1288
01:12:57,280 --> 01:13:01,600
Speaker 1: I think it will adjust the model some want. Um.

1289
01:13:01,760 --> 01:13:06,719
Speaker 1: I explained it yesterday and that when do you remember

1290
01:13:06,920 --> 01:13:11,080
Speaker 1: New Coke? Oh? Yeah, okay, So so there was Coke

1291
01:13:11,160 --> 01:13:12,920
Speaker 1: and then there was New Coke, and then there was

1292
01:13:12,960 --> 01:13:16,439
Speaker 1: Coca Cola Classic. And I always felt like, you know,

1293
01:13:16,520 --> 01:13:19,400
Speaker 1: Coca Cola Classic may or may not have been different

1294
01:13:19,479 --> 01:13:22,760
Speaker 1: from the Coke that existed prior to New Coke, but

1295
01:13:23,000 --> 01:13:26,640
Speaker 1: New Coke occupied I don't know how long it was.

1296
01:13:26,720 --> 01:13:32,280
Speaker 1: Maybe it was a year of our cultural collective consciousness.

1297
01:13:32,560 --> 01:13:34,720
Speaker 1: And then at the end of it, Uh Coke was

1298
01:13:35,479 --> 01:13:37,360
Speaker 1: I think maybe a little different, but it was coke

1299
01:13:37,439 --> 01:13:41,200
Speaker 1: cola classic. So when when you have these gaps in

1300
01:13:41,200 --> 01:13:44,479
Speaker 1: in service, gaps in like cultural memory on the on

1301
01:13:44,600 --> 01:13:46,360
Speaker 1: the other end of it, you get to come back

1302
01:13:46,439 --> 01:13:49,519
Speaker 1: and any of those changes that maybe you were thinking

1303
01:13:49,560 --> 01:13:52,080
Speaker 1: about making before all this happened, you're able to make

1304
01:13:52,160 --> 01:13:54,439
Speaker 1: on the on the back end, and there's now like

1305
01:13:54,600 --> 01:13:58,200
Speaker 1: service blit, but it's not it's not incongruous with what

1306
01:13:58,360 --> 01:14:01,280
Speaker 1: you were doing. So maybe we are more take out,

1307
01:14:01,800 --> 01:14:05,679
Speaker 1: maybe we are more grocery and um, you know, dependent

1308
01:14:05,720 --> 01:14:08,920
Speaker 1: on people's financial situations. You know, we are not a

1309
01:14:09,000 --> 01:14:11,920
Speaker 1: cheap restaurant just based on what we what we offer,

1310
01:14:12,000 --> 01:14:14,760
Speaker 1: and so on the flip side of this, were we

1311
01:14:14,880 --> 01:14:19,920
Speaker 1: might have to reevaluate how we're able to feed more people,

1312
01:14:20,720 --> 01:14:23,840
Speaker 1: um at prices that are going to be concurrent with

1313
01:14:24,000 --> 01:14:27,800
Speaker 1: their income. So the situation and and that's something that

1314
01:14:27,920 --> 01:14:30,280
Speaker 1: you know, we can't we can't force that on our

1315
01:14:30,320 --> 01:14:33,439
Speaker 1: producers to drop their prices. So that's gonna that's gonna

1316
01:14:33,479 --> 01:14:37,960
Speaker 1: force some creativity on our end. If if the like

1317
01:14:38,160 --> 01:14:42,240
Speaker 1: mid to high end restaurant worlds takes a hit and

1318
01:14:42,280 --> 01:14:44,880
Speaker 1: it's more like mid range on the other end of this,

1319
01:14:45,000 --> 01:14:48,160
Speaker 1: because that's what people can afford that we're gonna have

1320
01:14:48,240 --> 01:14:52,040
Speaker 1: to We're gonna have to pivot to that. And I

1321
01:14:52,080 --> 01:14:54,720
Speaker 1: can't say that I'm I'm fearful of that. It's going

1322
01:14:54,760 --> 01:14:56,800
Speaker 1: to be a challenge, but it's something that we're just

1323
01:14:56,840 --> 01:15:00,400
Speaker 1: gonna have to do. Yeah, and we've we've talked about

1324
01:15:00,920 --> 01:15:02,599
Speaker 1: over the last six or eight months. I've kind of

1325
01:15:02,640 --> 01:15:06,880
Speaker 1: gotten I know, you've been to Room Ranch some and

1326
01:15:07,040 --> 01:15:09,519
Speaker 1: done some some good stuff there with those those guys.

1327
01:15:10,080 --> 01:15:12,960
Speaker 1: I love those guys down there. Um, we started to

1328
01:15:13,000 --> 01:15:15,519
Speaker 1: think about, you know, consumption as a larger piece of it,

1329
01:15:15,680 --> 01:15:19,400
Speaker 1: driven by you know, the proximity to our food and

1330
01:15:19,439 --> 01:15:21,880
Speaker 1: what hunting has kind of shown me, and then you know,

1331
01:15:23,280 --> 01:15:26,680
Speaker 1: having a garden has shown me, and and really restaurants

1332
01:15:26,680 --> 01:15:29,040
Speaker 1: like yours have shown me on like on the next

1333
01:15:29,200 --> 01:15:31,439
Speaker 1: step up. Do you have any thoughts on a larger

1334
01:15:32,120 --> 01:15:35,720
Speaker 1: consumption level about how this might change us how we

1335
01:15:35,800 --> 01:15:38,479
Speaker 1: think about eating, whether we do dive in once we

1336
01:15:38,520 --> 01:15:41,200
Speaker 1: can all you know, the economy comes back and maybe

1337
01:15:41,240 --> 01:15:43,240
Speaker 1: we can afford it to more locally sourced food. Do

1338
01:15:43,280 --> 01:15:46,880
Speaker 1: you think more people will take up the that sustainability

1339
01:15:46,880 --> 01:15:49,400
Speaker 1: model that hadn't thought about it before. I guess the

1340
01:15:49,479 --> 01:15:51,280
Speaker 1: question is do you think this is going to teach

1341
01:15:51,360 --> 01:15:55,040
Speaker 1: us something? Yes, yeah, I mean I think that you know,

1342
01:15:56,160 --> 01:16:02,879
Speaker 1: you know, plants, starts and mulch and soil have probably

1343
01:16:02,960 --> 01:16:07,599
Speaker 1: hit record sales this spring. Um. You know, the third

1344
01:16:07,840 --> 01:16:10,519
Speaker 1: branch of our business in stc which is New School

1345
01:16:10,520 --> 01:16:13,360
Speaker 1: of Traditional Cookery, which is our hunting school where we

1346
01:16:13,439 --> 01:16:16,280
Speaker 1: literally take new hunters out and teach them how to

1347
01:16:17,439 --> 01:16:23,479
Speaker 1: hunt fish, butcher, cook preserved package, so forth. Um, it

1348
01:16:23,640 --> 01:16:26,760
Speaker 1: was put on hold obviously we we suffered a huge

1349
01:16:26,800 --> 01:16:30,800
Speaker 1: loss in April, and and moving forward, we don't really

1350
01:16:30,800 --> 01:16:33,280
Speaker 1: have anything scheduled because this is so unclear as to

1351
01:16:33,479 --> 01:16:37,720
Speaker 1: what's going to happen. But that said, I do anticipate

1352
01:16:38,080 --> 01:16:42,400
Speaker 1: a lot of interest in people learning how to be

1353
01:16:42,520 --> 01:16:45,760
Speaker 1: more self reliant because you look at those lines at

1354
01:16:45,760 --> 01:16:48,400
Speaker 1: the grocery store, and especially in a state like Texas

1355
01:16:48,439 --> 01:16:54,719
Speaker 1: where the the opportunities and resources do exist in and

1356
01:16:54,840 --> 01:16:59,360
Speaker 1: I mean I think in a pretty good situation for

1357
01:17:00,040 --> 01:17:03,400
Speaker 1: most people. Um that I think people are going to

1358
01:17:03,479 --> 01:17:08,840
Speaker 1: be more interested in hunting, fishing, gardening, having a chicken coop,

1359
01:17:09,800 --> 01:17:13,040
Speaker 1: self reliance in general, just life skills. And then you

1360
01:17:13,120 --> 01:17:16,040
Speaker 1: saw that how many people are just there at home

1361
01:17:16,080 --> 01:17:19,120
Speaker 1: and they're cooking and there's the sour dough bread epidemic

1362
01:17:19,200 --> 01:17:22,400
Speaker 1: that's that happening right now too. It's just like but

1363
01:17:22,439 --> 01:17:24,360
Speaker 1: I mean, everybody has the time to bake, and it's

1364
01:17:24,360 --> 01:17:27,120
Speaker 1: also going to I think the beautiful thing about that

1365
01:17:27,280 --> 01:17:32,240
Speaker 1: is that it teaches people that were previously convinced that

1366
01:17:32,479 --> 01:17:36,599
Speaker 1: cooking is this chore and it takes too long to do, right,

1367
01:17:37,000 --> 01:17:39,120
Speaker 1: I've now seen kind of the beauty in it, and

1368
01:17:39,160 --> 01:17:43,000
Speaker 1: then with a little planning and dedication of time to

1369
01:17:43,120 --> 01:17:47,120
Speaker 1: it because it's absolutely worth it. I think um that

1370
01:17:47,320 --> 01:17:49,280
Speaker 1: that moving forward, you're going to see a lot of

1371
01:17:49,320 --> 01:17:53,320
Speaker 1: people that are very interested in growing a carrot and

1372
01:17:53,360 --> 01:17:57,960
Speaker 1: then cooking carrot or um. You know, being able to

1373
01:17:58,640 --> 01:18:02,360
Speaker 1: even ride your bike to a pond and catch some

1374
01:18:02,439 --> 01:18:06,880
Speaker 1: bluegills and have those with your carrots um and then

1375
01:18:07,080 --> 01:18:09,559
Speaker 1: because in the past that might just be some kind

1376
01:18:09,600 --> 01:18:15,080
Speaker 1: of romantic notion and now it's like, well, you know,

1377
01:18:15,200 --> 01:18:18,320
Speaker 1: pretty cool. Or the fact that it's you know, springtime

1378
01:18:18,360 --> 01:18:21,800
Speaker 1: here in Austin and there's low quads and dew berries

1379
01:18:22,000 --> 01:18:29,880
Speaker 1: and mulberries and Nepali's popping everywhere, and people don't want

1380
01:18:29,960 --> 01:18:32,559
Speaker 1: to go to the store and I'm like, hey, there's

1381
01:18:32,760 --> 01:18:38,920
Speaker 1: literally fruit trees right over there everywhere. Right you have it.

1382
01:18:38,920 --> 01:18:41,120
Speaker 1: It's free. Not only is it free, but I mean

1383
01:18:41,200 --> 01:18:43,200
Speaker 1: either they have to go in a door, you have

1384
01:18:43,280 --> 01:18:46,679
Speaker 1: to wear gloves. You know. It's it's pretty cool. Um,

1385
01:18:46,720 --> 01:18:48,320
Speaker 1: you know. And before, like I said, it was just

1386
01:18:48,360 --> 01:18:50,679
Speaker 1: like this. Oh. I mean, you know, I know it's

1387
01:18:50,720 --> 01:18:53,080
Speaker 1: out there. I don't think it. Can you really eat that?

1388
01:18:53,640 --> 01:18:55,800
Speaker 1: Is it's safe? I'm like, yeah, it's safe to eat

1389
01:18:56,000 --> 01:19:00,479
Speaker 1: a mulberry. You know, you're gonna be fine, um, unless

1390
01:19:00,520 --> 01:19:09,760
Speaker 1: you're on that's somebody else's land, especially in Texas. But no,

1391
01:19:10,080 --> 01:19:12,240
Speaker 1: I think that there's some some great lessons that are

1392
01:19:12,240 --> 01:19:15,639
Speaker 1: going to come out about this, and it's like all

1393
01:19:15,680 --> 01:19:20,160
Speaker 1: those all those activities are gonna be done for less

1394
01:19:20,200 --> 01:19:24,400
Speaker 1: ironic reasons. That's a great that's a great point because

1395
01:19:24,400 --> 01:19:27,000
Speaker 1: I think, you know, the foodie movement quote unquote, or

1396
01:19:27,040 --> 01:19:29,760
Speaker 1: the the field distable movement. It feels like the New

1397
01:19:29,800 --> 01:19:33,880
Speaker 1: York Times writes a different like hipster hunter article each year.

1398
01:19:34,120 --> 01:19:36,400
Speaker 1: It seems like they just recycle that narrative like here's

1399
01:19:36,400 --> 01:19:39,479
Speaker 1: a guy you wouldn't think that would go kill something, um,

1400
01:19:39,760 --> 01:19:42,000
Speaker 1: and they just and they just roll that out and

1401
01:19:42,040 --> 01:19:45,000
Speaker 1: roll it out and roll it out and now it's

1402
01:19:45,080 --> 01:19:46,840
Speaker 1: you know, like you said, it's less like it's not

1403
01:19:46,880 --> 01:19:51,639
Speaker 1: ironic anymore to think of how to source something where

1404
01:19:51,640 --> 01:19:53,920
Speaker 1: it comes from, how to get your hands dirty, because

1405
01:19:54,400 --> 01:19:57,559
Speaker 1: that's that's more utilitarian than it is just the novelty

1406
01:19:57,680 --> 01:20:00,280
Speaker 1: of doing it, um, which is I think a lot

1407
01:20:00,320 --> 01:20:02,599
Speaker 1: of people were like, I can get my meat at

1408
01:20:02,600 --> 01:20:06,320
Speaker 1: the store, but it's way more rich um an experience

1409
01:20:06,360 --> 01:20:09,000
Speaker 1: to go do that. But now it's like, well, those

1410
01:20:09,120 --> 01:20:11,599
Speaker 1: it's not just for the rich experience anymore. It's it's

1411
01:20:11,720 --> 01:20:15,679
Speaker 1: more practical to go and get it that way. Um.

1412
01:20:15,840 --> 01:20:17,960
Speaker 1: And it makes more sense because we now know how

1413
01:20:18,000 --> 01:20:22,799
Speaker 1: fragile our structure, um are you know, our food sourcing

1414
01:20:22,840 --> 01:20:25,720
Speaker 1: structure is, and how quickly it can break down, you know,

1415
01:20:25,960 --> 01:20:28,920
Speaker 1: based on supply and demands as simple as that principle is.

1416
01:20:29,240 --> 01:20:32,160
Speaker 1: Um So, So it's it's a point well made, not

1417
01:20:32,920 --> 01:20:36,760
Speaker 1: I imagine UM A lot more people like you're the

1418
01:20:37,240 --> 01:20:45,120
Speaker 1: would you call yourself the croppy master Roy? I love them,

1419
01:20:45,160 --> 01:20:49,800
Speaker 1: They're my favorite and I'm absolutely not the master luck

1420
01:20:49,920 --> 01:20:52,040
Speaker 1: every once in a while and I'll tell you what, man,

1421
01:20:52,720 --> 01:20:55,120
Speaker 1: are we ready to shift? Yeah? This is that was

1422
01:20:55,160 --> 01:21:00,519
Speaker 1: my That was my like there's nothing more annoying to

1423
01:21:00,560 --> 01:21:03,400
Speaker 1: me then that that guy that's like, I like catch

1424
01:21:03,400 --> 01:21:05,599
Speaker 1: Croppy And I'm like yeah, and then he's like, oh,

1425
01:21:05,760 --> 01:21:07,920
Speaker 1: I mean my granddad used to go out. We kissed

1426
01:21:08,000 --> 01:21:10,240
Speaker 1: like two hundred in an hour. Uh, and we were

1427
01:21:10,280 --> 01:21:12,320
Speaker 1: just on a bear hook any time a year. And

1428
01:21:12,360 --> 01:21:15,720
Speaker 1: I'm just like, you're lying, that is not that is

1429
01:21:15,800 --> 01:21:19,200
Speaker 1: not my Croppy experience. You know, there's there's days where

1430
01:21:19,200 --> 01:21:20,840
Speaker 1: we we'll get after him a little bit, but there's

1431
01:21:20,840 --> 01:21:26,080
Speaker 1: also days where we catch two and uh, I'm I mean,

1432
01:21:26,200 --> 01:21:30,479
Speaker 1: I'm obsessed with proper Um. They're they're a big I

1433
01:21:30,479 --> 01:21:33,360
Speaker 1: mean locally we we have i mean good populations of

1434
01:21:33,439 --> 01:21:35,640
Speaker 1: them around here and a lot of them live up

1435
01:21:35,640 --> 01:21:39,640
Speaker 1: in my lake. Uh And uh, we get after him

1436
01:21:39,680 --> 01:21:41,840
Speaker 1: quite a bit. We go after only in the spring,

1437
01:21:41,880 --> 01:21:43,639
Speaker 1: but I don't have a boat, so it's a very

1438
01:21:43,680 --> 01:21:46,960
Speaker 1: seasonal thing for me too. It's a definitely February March,

1439
01:21:47,200 --> 01:21:54,400
Speaker 1: maybe a little April um situation on Croppy. But uh,

1440
01:21:54,439 --> 01:21:57,880
Speaker 1: many they give me fits. Uh. You know, we'll get

1441
01:21:57,880 --> 01:22:00,160
Speaker 1: out some days and then you know, you never know

1442
01:22:00,479 --> 01:22:03,760
Speaker 1: either you just don't know, Oh it's gonna be great today.

1443
01:22:04,720 --> 01:22:06,200
Speaker 1: And then the guy next to you is like I

1444
01:22:06,280 --> 01:22:11,599
Speaker 1: should have been here yesterday. They should have been here yesterday. Yeah. Yeah,

1445
01:22:11,640 --> 01:22:14,160
Speaker 1: like we we did pretty good on them this year.

1446
01:22:14,800 --> 01:22:18,240
Speaker 1: We we we kind of took a chance and went

1447
01:22:18,400 --> 01:22:22,360
Speaker 1: earlier than we normally did. And I think that I

1448
01:22:22,479 --> 01:22:26,120
Speaker 1: learned a lot more about their their habits this year

1449
01:22:26,160 --> 01:22:29,720
Speaker 1: and just kind of this you know theory of the

1450
01:22:30,560 --> 01:22:35,479
Speaker 1: spawning and waves where the proper don't spawn at one time.

1451
01:22:35,600 --> 01:22:37,760
Speaker 1: I think it's like a two month thing and it's

1452
01:22:37,800 --> 01:22:40,240
Speaker 1: just you. You're playing the numbers. They're up in the creek,

1453
01:22:40,280 --> 01:22:42,920
Speaker 1: they're at there down deep. But those those glorious days

1454
01:22:42,920 --> 01:22:44,800
Speaker 1: where they're coming up into two ft of water and

1455
01:22:44,840 --> 01:22:49,960
Speaker 1: they're just smashing jigs. Um, that's when those conditions are

1456
01:22:50,000 --> 01:22:52,240
Speaker 1: just perfect. And so you kind of you just have

1457
01:22:52,320 --> 01:22:56,040
Speaker 1: to like sus those days out and and it can

1458
01:22:56,040 --> 01:22:58,360
Speaker 1: just change from day to day and and you know,

1459
01:22:58,400 --> 01:23:04,719
Speaker 1: a light rain or moon or or wind and parametric pressure,

1460
01:23:04,760 --> 01:23:08,360
Speaker 1: anything can just totally shift on you. And uh and

1461
01:23:08,360 --> 01:23:11,639
Speaker 1: in turn that slam dunk trip that you had planned

1462
01:23:11,640 --> 01:23:14,240
Speaker 1: and they're like a one croppy trip and you're like,

1463
01:23:14,360 --> 01:23:23,679
Speaker 1: I even keep one croppy, yeah, holding I wore cargo shorts.

1464
01:23:23,680 --> 01:23:26,640
Speaker 1: That's nice. Um are you, what's your set? Are you

1465
01:23:26,640 --> 01:23:29,880
Speaker 1: You're not throwing minnows and bobbers, are you? Uh? At night?

1466
01:23:30,000 --> 01:23:32,160
Speaker 1: So well, there's two different ways we do it. And

1467
01:23:32,360 --> 01:23:35,519
Speaker 1: we'll go at night with lights, which is possibly one

1468
01:23:35,560 --> 01:23:38,080
Speaker 1: of my favorite just ways to fish. It's just like

1469
01:23:38,120 --> 01:23:41,240
Speaker 1: you know, me and usually one other person. We use

1470
01:23:41,320 --> 01:23:45,160
Speaker 1: the long rods, you know, we're ten ten eleven foot rods. Uh,

1471
01:23:45,240 --> 01:23:50,439
Speaker 1: and then a little supersensitive stick bobbers and live mennows

1472
01:23:51,200 --> 01:23:53,920
Speaker 1: under lights at night that I mean when they're when

1473
01:23:53,920 --> 01:23:56,080
Speaker 1: they're going. That is a lot of fun. You catch

1474
01:23:56,120 --> 01:23:59,960
Speaker 1: some white bass like that too, maybe catfish here and there.

1475
01:23:59,800 --> 01:24:02,200
Speaker 1: Then the other way we do it, it's just during

1476
01:24:02,240 --> 01:24:04,599
Speaker 1: the day is you know, just go out and get

1477
01:24:04,680 --> 01:24:07,639
Speaker 1: up in the in the feeder creeks or in brushy

1478
01:24:08,040 --> 01:24:13,599
Speaker 1: snooze on the lake and fish jigs typically a Jigen

1479
01:24:13,640 --> 01:24:19,040
Speaker 1: Barber situation um for them while they're up shallow. Uh.

1480
01:24:19,080 --> 01:24:21,559
Speaker 1: And I had time I owned James. It's another thing

1481
01:24:21,600 --> 01:24:25,599
Speaker 1: that I'm pretty obsessed with. I love time Jakes actually

1482
01:24:25,600 --> 01:24:28,160
Speaker 1: sell them at the restaurant. You can get right out

1483
01:24:28,200 --> 01:24:33,120
Speaker 1: the window, get your yeasts and your yeah uh so

1484
01:24:33,240 --> 01:24:38,000
Speaker 1: yeah chicken bober Well, I love it. Um, you know,

1485
01:24:38,200 --> 01:24:41,120
Speaker 1: I've got into I can't remember. Years ago it was

1486
01:24:41,160 --> 01:24:44,360
Speaker 1: turkey season and I was catching cropp eas in Lake

1487
01:24:44,400 --> 01:24:47,800
Speaker 1: of the Ozarks and we were eating We're finding morrell mushrooms,

1488
01:24:47,800 --> 01:24:50,360
Speaker 1: and I just remember that's like, does it get any

1489
01:24:50,400 --> 01:24:55,960
Speaker 1: better than that, like seasonally? No, Nope, Morrell's croppie and turkey.

1490
01:24:56,160 --> 01:24:58,200
Speaker 1: It's a confusing time of year because I mean you

1491
01:24:58,240 --> 01:25:01,360
Speaker 1: could throw hogs into the mix right now. Um, they're

1492
01:25:01,479 --> 01:25:04,519
Speaker 1: they're kind of on the move. And so yeah, me

1493
01:25:04,640 --> 01:25:08,720
Speaker 1: and a buddy the other day, we're just like, what

1494
01:25:08,760 --> 01:25:13,320
Speaker 1: do we do right now? It's a tough one is tough. Uh,

1495
01:25:13,360 --> 01:25:16,680
Speaker 1: But you know in Turkey, I'll they'll they'll captivate you

1496
01:25:16,760 --> 01:25:18,880
Speaker 1: pretty good too. They're easy to get kind of wrapped

1497
01:25:18,960 --> 01:25:21,439
Speaker 1: up around. Well, I know that's like you got it.

1498
01:25:21,479 --> 01:25:23,599
Speaker 1: We had to cover crap. Well, we can't leave crappy

1499
01:25:23,680 --> 01:25:27,479
Speaker 1: without getting your tips for cooking them up. Sum give us,

1500
01:25:27,640 --> 01:25:30,479
Speaker 1: give us a couple of hot tips for that. Yeah,

1501
01:25:30,520 --> 01:25:35,479
Speaker 1: I mean crappy. I love them. Um. They are one

1502
01:25:35,520 --> 01:25:37,720
Speaker 1: of my favorite freshwater fish. A lot of people put

1503
01:25:37,760 --> 01:25:40,439
Speaker 1: them number one. UM. And I'm a big fan of

1504
01:25:40,439 --> 01:25:44,120
Speaker 1: white bass too. Some people think white bass are terrible

1505
01:25:44,760 --> 01:25:46,840
Speaker 1: I don't understand that. I think white bass are great,

1506
01:25:47,360 --> 01:25:49,320
Speaker 1: and we catch a lot of those together. I mean

1507
01:25:49,360 --> 01:25:52,040
Speaker 1: there'll be a lot of days where bass and cropper

1508
01:25:52,160 --> 01:25:55,280
Speaker 1: you're kind of lurking around the same areas in Texas

1509
01:25:55,880 --> 01:26:00,559
Speaker 1: and uh a crappy you know, fried always uh, fry fish.

1510
01:26:00,840 --> 01:26:02,960
Speaker 1: There's a lot of different methods you can do. I

1511
01:26:03,000 --> 01:26:07,320
Speaker 1: think cropper are very good. It's just a very straightforward

1512
01:26:07,880 --> 01:26:11,880
Speaker 1: um corn meal. I like that the mustard buttermelk trip

1513
01:26:11,920 --> 01:26:17,879
Speaker 1: where you do just like mustard, yellow mustard and buttermilk.

1514
01:26:17,880 --> 01:26:19,799
Speaker 1: If you don't have butter milk, just use milk whatever.

1515
01:26:20,439 --> 01:26:22,280
Speaker 1: You just kind of thin that out and then just

1516
01:26:22,800 --> 01:26:26,240
Speaker 1: dress the fish in that um just enough to coat it,

1517
01:26:26,360 --> 01:26:30,719
Speaker 1: and then roll that in. Find corn meal. Uh. Steve

1518
01:26:30,800 --> 01:26:33,759
Speaker 1: and I have discussed this something like to find corn

1519
01:26:33,760 --> 01:26:37,320
Speaker 1: meal because course corn meal will burn. You need fine

1520
01:26:37,400 --> 01:26:41,320
Speaker 1: corn meal or a massa corn meal mix if you

1521
01:26:41,439 --> 01:26:45,439
Speaker 1: have access to massa arena, which is the dry super

1522
01:26:45,479 --> 01:26:48,840
Speaker 1: fine massa um, and then roll it in that fry it,

1523
01:26:49,040 --> 01:26:52,720
Speaker 1: fry it hot um. You know, not even cut a

1524
01:26:52,800 --> 01:26:56,519
Speaker 1: filet and half more surface area for more crispy. Kind

1525
01:26:56,520 --> 01:26:59,400
Speaker 1: of depends on what you what you prefer. This year,

1526
01:26:59,439 --> 01:27:02,639
Speaker 1: I did a lot of beer batter on Crappie, which

1527
01:27:02,720 --> 01:27:06,440
Speaker 1: is definitely kind of a little bit harder to achieve

1528
01:27:07,479 --> 01:27:09,640
Speaker 1: and make it really really good. There's a couple of

1529
01:27:09,680 --> 01:27:15,200
Speaker 1: tricks making a beer batter. You have to keep it

1530
01:27:15,280 --> 01:27:19,760
Speaker 1: super super cold. So my beer batter would be rice,

1531
01:27:19,840 --> 01:27:23,800
Speaker 1: flour and flour and then a beer whatever, beer doesn't matter,

1532
01:27:23,960 --> 01:27:27,280
Speaker 1: just you know, mix it up with whatever. You've got

1533
01:27:28,400 --> 01:27:32,879
Speaker 1: a little bit of baking powder gives it extra fluff. Um,

1534
01:27:33,040 --> 01:27:35,680
Speaker 1: put a little bit of honey in there and that

1535
01:27:35,720 --> 01:27:40,800
Speaker 1: helps with color and caramelization, just to drop. And then

1536
01:27:40,880 --> 01:27:44,840
Speaker 1: you just the fish in a little bit of flour

1537
01:27:44,920 --> 01:27:46,360
Speaker 1: and then you go into that beer batter, and that

1538
01:27:46,439 --> 01:27:49,360
Speaker 1: beer better has to be fairly thin, maybe a little

1539
01:27:49,400 --> 01:27:54,759
Speaker 1: thinner than you think. Um, and then immediately go into

1540
01:27:54,920 --> 01:27:57,599
Speaker 1: hot oil. And if your oil is not hot, you're

1541
01:27:57,880 --> 01:28:00,639
Speaker 1: you're gonna have a disaster because it's going to absorb

1542
01:28:00,720 --> 01:28:02,760
Speaker 1: that like a sponge. But if your oil is hot,

1543
01:28:02,920 --> 01:28:09,479
Speaker 1: I mean probably three seventy three, six seventy goes into

1544
01:28:09,520 --> 01:28:13,000
Speaker 1: that hot oil and it will immediately kind of start

1545
01:28:13,040 --> 01:28:15,080
Speaker 1: to puff and get crispy, and you need to fry

1546
01:28:15,200 --> 01:28:19,040
Speaker 1: until it's nice and crispy. And another trick, it's kind

1547
01:28:19,040 --> 01:28:22,679
Speaker 1: of Japanese temper. A trick is to take a little

1548
01:28:22,680 --> 01:28:25,679
Speaker 1: bit of that batter and as that fish is fried,

1549
01:28:26,520 --> 01:28:29,800
Speaker 1: you drizzle that batter on top of the frying fish.

1550
01:28:30,000 --> 01:28:33,040
Speaker 1: And what that does is that adds more layers of

1551
01:28:33,320 --> 01:28:38,360
Speaker 1: crispy cooked beer batter um onto the fish. And when

1552
01:28:38,360 --> 01:28:42,400
Speaker 1: you nail it, it's it's phenomenal. It's really good because

1553
01:28:42,439 --> 01:28:45,240
Speaker 1: I mean, most people's complaints about beer batter is that

1554
01:28:45,360 --> 01:28:48,599
Speaker 1: it's too thick and doughy. And when you can get

1555
01:28:48,640 --> 01:28:53,479
Speaker 1: your beer batter to be crisp from where it's touching

1556
01:28:53,479 --> 01:28:57,240
Speaker 1: the fish to the outer edges of it, that's when

1557
01:28:57,240 --> 01:29:01,360
Speaker 1: you really achieve like that perfect like fish and chest. Yeah,

1558
01:29:01,360 --> 01:29:05,799
Speaker 1: there's nothing nothing better than like that moist, flaky fifth

1559
01:29:05,880 --> 01:29:09,400
Speaker 1: flesh with just the right amount of christminess on the outside.

1560
01:29:09,479 --> 01:29:13,559
Speaker 1: Man Um, there could be a debate around like once

1561
01:29:13,560 --> 01:29:16,519
Speaker 1: you got the perfectly fried crappie, really any type of fish,

1562
01:29:16,640 --> 01:29:19,960
Speaker 1: Like what's the I grew up with cocktail sauce. Man Like,

1563
01:29:20,479 --> 01:29:23,599
Speaker 1: that's the thing that I that I always go to. Um.

1564
01:29:23,640 --> 01:29:25,599
Speaker 1: A lot of people are sprits and lemons, and there's

1565
01:29:25,800 --> 01:29:28,040
Speaker 1: there's there's a million things you can do. What's what's

1566
01:29:28,080 --> 01:29:34,520
Speaker 1: the what's did Jesse Griffiths go to? I'm I love condiments,

1567
01:29:34,600 --> 01:29:39,280
Speaker 1: so I mean anything cocktail sauce is. There's not anyone

1568
01:29:39,360 --> 01:29:41,240
Speaker 1: that I'm gonna be like. I can't believe you did that.

1569
01:29:43,360 --> 01:29:45,120
Speaker 1: I was hoping again, I was holding. I was hoping

1570
01:29:45,120 --> 01:29:47,519
Speaker 1: to be like cocktail sauce we're gonna talk about. I

1571
01:29:47,560 --> 01:29:53,439
Speaker 1: think there's an ingredient that, uh, cocktail sauce is great.

1572
01:29:53,640 --> 01:29:56,960
Speaker 1: I am. I'm a fan of Vans based sauces, and

1573
01:29:57,439 --> 01:30:00,240
Speaker 1: I think that, you know, you can throw together any

1574
01:30:00,360 --> 01:30:05,599
Speaker 1: kind of like ur SATs um sorry tartar sauce, uh

1575
01:30:05,640 --> 01:30:08,960
Speaker 1: pretty quickly and are a room a lot style sauce

1576
01:30:09,000 --> 01:30:10,960
Speaker 1: and don't don't get you know, don't overthink it. You know,

1577
01:30:11,040 --> 01:30:13,559
Speaker 1: if you like those kind of things, just take some mayonnaise.

1578
01:30:14,040 --> 01:30:16,160
Speaker 1: Let me throw some whole grain mustard in there, and

1579
01:30:16,160 --> 01:30:18,720
Speaker 1: then whatever pickle you've got laying around. I don't know

1580
01:30:18,720 --> 01:30:21,000
Speaker 1: if there's a pickled green tomato or a pickled green bean,

1581
01:30:21,120 --> 01:30:25,120
Speaker 1: or a pickled whale egg or or just a standard

1582
01:30:25,320 --> 01:30:28,160
Speaker 1: you know, kosher dill, and just chop that up real fine,

1583
01:30:28,200 --> 01:30:30,120
Speaker 1: throw it in there. Maybe throw a little raw red

1584
01:30:30,200 --> 01:30:37,720
Speaker 1: onion in there, any kind of herbs that you have, parsley, tarragonum, cilantro,

1585
01:30:38,000 --> 01:30:42,639
Speaker 1: anything like that. Base are also you can throw in there,

1586
01:30:42,840 --> 01:30:45,599
Speaker 1: and then citrus things like that. I think that, you know,

1587
01:30:45,800 --> 01:30:48,360
Speaker 1: I hate recipes. I think that people get hung up

1588
01:30:48,400 --> 01:30:51,400
Speaker 1: on it and and it, and it intimidates them to

1589
01:30:51,520 --> 01:30:54,679
Speaker 1: not want to experiment with what you just got laying around.

1590
01:30:54,680 --> 01:30:56,679
Speaker 1: But a lot of these concepts you can't go wrong.

1591
01:30:56,760 --> 01:31:01,800
Speaker 1: Fried fish with delicious sauce it then and you're all good.

1592
01:31:02,120 --> 01:31:06,080
Speaker 1: And so I mean, yeah, I think I would lean

1593
01:31:06,120 --> 01:31:08,639
Speaker 1: towards the mayonnaise based sauce, but cocktail sauce I would

1594
01:31:08,640 --> 01:31:11,240
Speaker 1: eat that all day. Oh man, I'm I'm all over it.

1595
01:31:13,680 --> 01:31:17,599
Speaker 1: I think we gotta go. We gotta talk about Morrel's. Um.

1596
01:31:17,640 --> 01:31:19,800
Speaker 1: You know, if you just by the bye, if you

1597
01:31:19,840 --> 01:31:22,200
Speaker 1: want to get all the information on what we how

1598
01:31:22,240 --> 01:31:24,080
Speaker 1: we think you should, you can find them. Go to

1599
01:31:24,080 --> 01:31:26,400
Speaker 1: the meteor dot com. We got a lot of articles there.

1600
01:31:26,400 --> 01:31:29,600
Speaker 1: But um, once you found them, the I think the

1601
01:31:29,680 --> 01:31:32,559
Speaker 1: key input here from you is like, what's the what

1602
01:31:32,680 --> 01:31:34,240
Speaker 1: are some of the ways that you cook them up

1603
01:31:34,240 --> 01:31:37,360
Speaker 1: that you like. I think there's some classic Morell dishes

1604
01:31:37,360 --> 01:31:39,160
Speaker 1: that I'm sure you know of, but like what are

1605
01:31:39,160 --> 01:31:42,200
Speaker 1: the things that are the staples in your mind? Yeah?

1606
01:31:42,240 --> 01:31:44,400
Speaker 1: And that's funny because I think if you were like

1607
01:31:44,920 --> 01:31:49,719
Speaker 1: to ask me, what's the best meal that I've had

1608
01:31:49,960 --> 01:31:52,400
Speaker 1: this year? Are cooked this year? And I would say

1609
01:31:52,520 --> 01:31:58,040
Speaker 1: this is a fear battered croppy with Morrel's and uh, oh,

1610
01:31:58,240 --> 01:32:01,360
Speaker 1: I'm sorry, I made a sorry that was inappropriate noise.

1611
01:32:02,120 --> 01:32:06,600
Speaker 1: We're about we're about to like make a little bit

1612
01:32:06,640 --> 01:32:10,280
Speaker 1: of this segue. So I took Morrel's and made a

1613
01:32:10,280 --> 01:32:15,439
Speaker 1: little just um as you call it them, and there

1614
01:32:15,520 --> 01:32:19,479
Speaker 1: was Karen's and leeks uh in there, a little bit

1615
01:32:19,479 --> 01:32:21,519
Speaker 1: of cream, and there was also a vegetable that we

1616
01:32:21,600 --> 01:32:25,600
Speaker 1: shan't name. Uh, it was the P. The English P

1617
01:32:26,160 --> 01:32:28,240
Speaker 1: was also in that too, because P's and Morrel's are

1618
01:32:28,280 --> 01:32:32,080
Speaker 1: good buddies. Um and uh just a little bit of cream,

1619
01:32:32,160 --> 01:32:35,280
Speaker 1: a little bit of wine, uh, and all of those

1620
01:32:35,439 --> 01:32:37,840
Speaker 1: cooked together and then I served it with the with

1621
01:32:37,920 --> 01:32:42,240
Speaker 1: the croppy about a crop. It was. It was phenomenal. Um.

1622
01:32:42,280 --> 01:32:45,719
Speaker 1: I think Morel's in general, we we have a very

1623
01:32:45,760 --> 01:32:50,479
Speaker 1: short season here on them as in my experience, and

1624
01:32:51,280 --> 01:32:53,200
Speaker 1: it can be as short as maybe a week or

1625
01:32:53,240 --> 01:33:00,360
Speaker 1: two because the conditions as you know, Texas transitions from

1626
01:33:00,439 --> 01:33:04,920
Speaker 1: uh spring this summer pretty quick from winter which is

1627
01:33:04,960 --> 01:33:11,120
Speaker 1: also real just late fall to early summer. Yeah, pretty

1628
01:33:11,120 --> 01:33:15,560
Speaker 1: pretty quick. And so those those those perfect conditions for Morrel's.

1629
01:33:16,240 --> 01:33:19,000
Speaker 1: Uh some sometimes some years are better. This year we

1630
01:33:19,120 --> 01:33:21,960
Speaker 1: found a few. They were all really big though. We

1631
01:33:22,040 --> 01:33:25,479
Speaker 1: got a few meals out. I think if you if

1632
01:33:25,520 --> 01:33:30,240
Speaker 1: you want like the perfect like Morrel Forward experience, my

1633
01:33:30,360 --> 01:33:37,880
Speaker 1: favorite thing is just pasta, Morrel's and partnership, you know,

1634
01:33:37,920 --> 01:33:39,840
Speaker 1: like a combination of those three things. I'm not going

1635
01:33:39,880 --> 01:33:41,240
Speaker 1: to say you have to go out and make your

1636
01:33:41,240 --> 01:33:44,760
Speaker 1: own pasta. Absolutely do not have to. Uh Let's say

1637
01:33:44,880 --> 01:33:50,080
Speaker 1: you know, you clean your morales really well, um in

1638
01:33:50,080 --> 01:33:54,920
Speaker 1: a pan with some butter, and you can do a

1639
01:33:54,960 --> 01:33:57,120
Speaker 1: lot of that, and I like to cook them. They'll

1640
01:33:57,120 --> 01:33:59,920
Speaker 1: they'll they'll lose liquid and then they'll start to cry.

1641
01:34:00,040 --> 01:34:01,880
Speaker 1: That liquid will cook out and they'll start to fry

1642
01:34:01,920 --> 01:34:05,120
Speaker 1: a little bit. You'll you'll go from sensing a bit

1643
01:34:05,120 --> 01:34:07,120
Speaker 1: of moisture in the pan until where they started to

1644
01:34:07,120 --> 01:34:08,720
Speaker 1: fry again, and I feel like that's when they kind

1645
01:34:08,720 --> 01:34:12,799
Speaker 1: of hit their heat flavor. And at that point, um,

1646
01:34:12,960 --> 01:34:16,519
Speaker 1: I will throw a few sage leaves in there. Uh,

1647
01:34:16,720 --> 01:34:20,720
Speaker 1: and then it's just time for pasta and then Parmigan

1648
01:34:21,120 --> 01:34:24,040
Speaker 1: or some other kind of hard grating cheese. I think

1649
01:34:24,040 --> 01:34:26,559
Speaker 1: that's a really nice accent from or else it could

1650
01:34:26,560 --> 01:34:30,320
Speaker 1: be pegory now brought a partisan. We we use Cootihot,

1651
01:34:30,439 --> 01:34:33,080
Speaker 1: which is a Mexican hard grating cheese. We use that

1652
01:34:33,160 --> 01:34:36,360
Speaker 1: quite a bit here. So to keep a little more local,

1653
01:34:36,439 --> 01:34:41,559
Speaker 1: you know, like a local wheat, pasta, Morrel's butter and

1654
01:34:41,720 --> 01:34:45,400
Speaker 1: some cotinho, I think, and that's just fantastic follow red

1655
01:34:45,439 --> 01:34:48,880
Speaker 1: wine and yeah, I mean I I My feeling is

1656
01:34:48,880 --> 01:34:51,160
Speaker 1: moreles just don't need much, you know, a little bit

1657
01:34:51,160 --> 01:34:53,439
Speaker 1: of butter and a little bit of saute or fry

1658
01:34:53,520 --> 01:34:56,519
Speaker 1: and they can go pretty much. Now do you guys?

1659
01:34:56,560 --> 01:35:00,000
Speaker 1: Do you serve them at the restaurant there? On good years?

1660
01:35:00,080 --> 01:35:02,760
Speaker 1: This year? No? Are we We do work with a

1661
01:35:02,800 --> 01:35:06,479
Speaker 1: couple of foragers, um, and we'll have a decent Morrel

1662
01:35:06,600 --> 01:35:10,960
Speaker 1: season and sometimes a good Chantrell season as well. That's

1663
01:35:10,960 --> 01:35:15,240
Speaker 1: about all we'll see here besides puffballs, which are you know,

1664
01:35:15,400 --> 01:35:20,640
Speaker 1: they're they're fine, but this is not a year for

1665
01:35:20,640 --> 01:35:23,599
Speaker 1: foragers bringing stuff into us so and we we really

1666
01:35:23,680 --> 01:35:26,240
Speaker 1: we missed out on that. So but last year we

1667
01:35:26,360 --> 01:35:28,559
Speaker 1: had a good amount of Morrels. And when we when

1668
01:35:28,600 --> 01:35:31,599
Speaker 1: we have and we typically start them just with a

1669
01:35:31,640 --> 01:35:34,040
Speaker 1: playing pasta. It's one the only time we really make postive.

1670
01:35:34,080 --> 01:35:37,040
Speaker 1: But because I really feel like that's the highest and

1671
01:35:37,080 --> 01:35:43,080
Speaker 1: best use right there, just just a vehicle for more. Yeah,

1672
01:35:43,120 --> 01:35:45,519
Speaker 1: I just don't. I don't feel like there's any as

1673
01:35:45,560 --> 01:35:48,560
Speaker 1: I as I think of things, like there's anything seasonally,

1674
01:35:49,160 --> 01:35:52,160
Speaker 1: like a seasonal flavor that that is like a morrel

1675
01:35:53,000 --> 01:35:56,200
Speaker 1: tastes like that time of year, like every everything kind

1676
01:35:56,200 --> 01:36:00,439
Speaker 1: of has its moment, right, But man, when the Morrells

1677
01:36:00,439 --> 01:36:06,520
Speaker 1: should be popping here in Montana soon? Yeah, Oh my gosh,

1678
01:36:06,640 --> 01:36:09,000
Speaker 1: if you ever Yeah, cast aren't skillet and turkey camp

1679
01:36:09,120 --> 01:36:11,639
Speaker 1: full of morels and and just a straight up turkey

1680
01:36:11,680 --> 01:36:16,360
Speaker 1: breast took that thing through. Oh boy, I'm gonna be

1681
01:36:16,400 --> 01:36:20,880
Speaker 1: making noises, gonna be making noises. Um all right, well,

1682
01:36:21,520 --> 01:36:23,320
Speaker 1: well we got a turkey story to tell, and I

1683
01:36:23,400 --> 01:36:25,840
Speaker 1: want to talk about cooking up some turkeys as well.

1684
01:36:25,880 --> 01:36:29,800
Speaker 1: We we've already mentioned the Lagoon that shall not be named?

1685
01:36:30,280 --> 01:36:34,920
Speaker 1: Um the p are you you're a proponent of peas?

1686
01:36:35,600 --> 01:36:38,519
Speaker 1: Are they kind of a middling vegetable for you? Or

1687
01:36:38,720 --> 01:36:42,000
Speaker 1: where where are you at with peace love that I

1688
01:36:42,160 --> 01:36:46,000
Speaker 1: love them and there you know, there's a pea farm

1689
01:36:46,040 --> 01:36:50,160
Speaker 1: out in East Texas and h B cells bags of

1690
01:36:50,640 --> 01:36:53,920
Speaker 1: frozen peas from that place, and that I love take

1691
01:36:54,000 --> 01:36:57,439
Speaker 1: them right out and they cooking. He was throwing into anything.

1692
01:36:59,040 --> 01:37:05,640
Speaker 1: Uh oh, there is What did you just kind of describe, Like,

1693
01:37:05,880 --> 01:37:08,439
Speaker 1: what's what's the relationship between you and peas? Does it

1694
01:37:08,520 --> 01:37:11,519
Speaker 1: go back a long way? Do you feel a special

1695
01:37:11,600 --> 01:37:14,200
Speaker 1: connection to them? Because it can't be the flavor, you

1696
01:37:14,320 --> 01:37:18,880
Speaker 1: can't it can't be that you like the flavor. Is it? Yeah,

1697
01:37:19,320 --> 01:37:25,600
Speaker 1: it's it's you know, it's uh vegetable green, uh springy

1698
01:37:26,040 --> 01:37:29,479
Speaker 1: flavor pair as well with a lot of other things,

1699
01:37:29,800 --> 01:37:37,000
Speaker 1: like I say, carrots or else, bacon, um, butter, cream, lemon.

1700
01:37:37,800 --> 01:37:40,680
Speaker 1: I think peace peas playing nicely with a lot of

1701
01:37:40,720 --> 01:37:43,960
Speaker 1: other things. So so it it's for you, it is

1702
01:37:44,040 --> 01:37:46,680
Speaker 1: the flavor. It's just the yeah. And then like when

1703
01:37:46,720 --> 01:37:49,679
Speaker 1: you bite into it, it just expels all the mushy

1704
01:37:49,960 --> 01:37:52,880
Speaker 1: pe inside and you'll all forgive me because it's been

1705
01:37:52,880 --> 01:37:55,640
Speaker 1: a long time since I had a pee. Um. I

1706
01:37:55,680 --> 01:37:58,120
Speaker 1: always tell the story that my wife this happened the

1707
01:37:58,160 --> 01:38:00,840
Speaker 1: other day when we were going through recipes when quarantine came.

1708
01:38:01,360 --> 01:38:03,000
Speaker 1: I'm like, well, let's look at all recipe books and

1709
01:38:03,040 --> 01:38:06,400
Speaker 1: see what we're gonna make, you know, some family recipes

1710
01:38:06,439 --> 01:38:07,920
Speaker 1: and things that we were looking at, and I came

1711
01:38:07,960 --> 01:38:14,519
Speaker 1: across this shepherd's pie recipe that that my my wife

1712
01:38:14,600 --> 01:38:18,000
Speaker 1: had from her mother. I think, um, shepherds pie my

1713
01:38:18,040 --> 01:38:20,840
Speaker 1: favorite thing, and she wrote on the top of it,

1714
01:38:20,960 --> 01:38:27,280
Speaker 1: he hates pea. And then I was like, I'm marrying

1715
01:38:27,320 --> 01:38:30,639
Speaker 1: that girl. Like she she knew. And I just remember

1716
01:38:30,720 --> 01:38:33,080
Speaker 1: like taking these wonderful bites to get a little bacon

1717
01:38:33,160 --> 01:38:37,200
Speaker 1: in your get a little bacon, a little venissons, mashed potatoes,

1718
01:38:37,200 --> 01:38:39,519
Speaker 1: and every once in a while that pa would would

1719
01:38:39,560 --> 01:38:41,000
Speaker 1: be in there and you would bite down that and

1720
01:38:41,120 --> 01:38:44,880
Speaker 1: everything would just be destroyed. You're saying that, like, I

1721
01:38:44,960 --> 01:38:47,800
Speaker 1: mean those all those good things, like the bacon nous

1722
01:38:48,640 --> 01:38:51,360
Speaker 1: of that dish, the venison nous of that dish was

1723
01:38:51,479 --> 01:38:57,320
Speaker 1: completely ruined by the penis. Penis. Yeah, the peniss is. Uh.

1724
01:38:58,160 --> 01:38:59,920
Speaker 1: I have a child's mind, so that makes me giggle.

1725
01:39:00,360 --> 01:39:04,360
Speaker 1: But yes, the penis is an issue for me. I

1726
01:39:04,400 --> 01:39:08,120
Speaker 1: don't like if there's nothing about it, Like when I

1727
01:39:08,280 --> 01:39:10,760
Speaker 1: look at it now, I kind of like, I kind

1728
01:39:10,760 --> 01:39:16,439
Speaker 1: of like rear back, so we can move on. I

1729
01:39:16,520 --> 01:39:19,880
Speaker 1: think everyone and no, this is a topic. This is

1730
01:39:19,960 --> 01:39:23,040
Speaker 1: a topic. This is a topic that I get. I

1731
01:39:23,160 --> 01:39:25,479
Speaker 1: had I think that like the the Gooom Association of

1732
01:39:25,520 --> 01:39:29,920
Speaker 1: America's I mean an email one time or something they're like,

1733
01:39:30,000 --> 01:39:34,840
Speaker 1: come on, man, there's a dude out there. I can't

1734
01:39:34,880 --> 01:39:37,240
Speaker 1: remember his name, forgive me, but a listener that always

1735
01:39:37,280 --> 01:39:39,360
Speaker 1: writes in he's a pea farmer and a big deer hunter,

1736
01:39:39,520 --> 01:39:41,240
Speaker 1: and he's always like, you better come hunt deer on

1737
01:39:41,320 --> 01:39:46,439
Speaker 1: my pea farm, and um, he'll love penis as as. Yeah,

1738
01:39:47,400 --> 01:39:49,920
Speaker 1: I can't say that's the first time I've used that one.

1739
01:39:51,000 --> 01:39:53,080
Speaker 1: I'm into it, but yeah, I mean I think people

1740
01:39:53,280 --> 01:39:57,919
Speaker 1: generally are intrigued with my my hatred for this this vegetable.

1741
01:39:58,000 --> 01:40:01,000
Speaker 1: So it's okay, okay, one question and we'll move on.

1742
01:40:01,439 --> 01:40:03,960
Speaker 1: Like what about it, since it seems to be so

1743
01:40:04,160 --> 01:40:08,479
Speaker 1: textually based for you, what about a puree? Like if

1744
01:40:08,720 --> 01:40:12,960
Speaker 1: if they were cooked and then in a very expensive

1745
01:40:13,040 --> 01:40:16,160
Speaker 1: blender that was highly functional and then puree with some

1746
01:40:16,320 --> 01:40:21,479
Speaker 1: cream and made into like this very light, um, just green.

1747
01:40:21,720 --> 01:40:24,880
Speaker 1: Maybe there's some mint in there and some butter, some

1748
01:40:25,080 --> 01:40:28,320
Speaker 1: lemon zest, and then have served that with a like

1749
01:40:28,479 --> 01:40:34,080
Speaker 1: a beer battered Walleye file a. Uh do you think

1750
01:40:34,160 --> 01:40:36,920
Speaker 1: that you know you can kind of get on the

1751
01:40:37,000 --> 01:40:41,639
Speaker 1: fence with one. I think it's it's the color too,

1752
01:40:42,040 --> 01:40:46,840
Speaker 1: because peas have a certain greenness well overcooked, I mean,

1753
01:40:46,880 --> 01:40:50,840
Speaker 1: but you can get a very verdant um p color

1754
01:40:50,920 --> 01:40:53,439
Speaker 1: if you just very lightly cook. This could be like

1755
01:40:53,520 --> 01:40:56,120
Speaker 1: an Instagram live thing where I come when we reopen

1756
01:40:56,200 --> 01:40:58,040
Speaker 1: the world, I come to die do and you just

1757
01:40:58,200 --> 01:41:04,640
Speaker 1: have ariad of pea dishes that just that uh, And

1758
01:41:04,800 --> 01:41:07,439
Speaker 1: I'm I'm forced to kind of choose my favorite. I

1759
01:41:07,520 --> 01:41:09,720
Speaker 1: think that would be. I try to think myself as

1760
01:41:09,720 --> 01:41:12,640
Speaker 1: an open minded guy, but I've adopted the anti pe

1761
01:41:13,680 --> 01:41:18,240
Speaker 1: uh stump here branded yourself, branded myself anti p. It's

1762
01:41:18,240 --> 01:41:20,280
Speaker 1: gonna be hard for me to kind of back away

1763
01:41:20,360 --> 01:41:22,439
Speaker 1: from it. Well, I think I sent you a picture

1764
01:41:22,520 --> 01:41:24,840
Speaker 1: the other day kind of kicked this whole conversation off.

1765
01:41:24,960 --> 01:41:27,559
Speaker 1: But just a picture of some rice with a bunch

1766
01:41:27,600 --> 01:41:29,439
Speaker 1: of peas in it, And all I said was thinking

1767
01:41:29,520 --> 01:41:36,360
Speaker 1: of you. I was like, you past that poor rice? Yea,

1768
01:41:38,280 --> 01:41:43,200
Speaker 1: that's uh suffering. We just yeah, um, I yeah, I

1769
01:41:43,280 --> 01:41:44,960
Speaker 1: just did a podcast with a vegan. We never I

1770
01:41:44,960 --> 01:41:47,080
Speaker 1: should have should have asked him about the P thing

1771
01:41:47,120 --> 01:41:49,160
Speaker 1: and see if we could get a good argument. Not

1772
01:41:49,280 --> 01:41:51,800
Speaker 1: only is he anti anti meat, he's prop and I'm

1773
01:41:51,840 --> 01:41:53,880
Speaker 1: anti P So we get a lot of a lot

1774
01:41:53,920 --> 01:41:56,000
Speaker 1: of things to figure out. But okay, well, as I

1775
01:41:56,120 --> 01:41:58,960
Speaker 1: am very willing to let you, of all people, Jesse Griffis,

1776
01:41:59,520 --> 01:42:02,760
Speaker 1: fix a fix me up some peas. Maybe next spring

1777
01:42:02,840 --> 01:42:04,280
Speaker 1: and when we're back to normal, we can kill a

1778
01:42:04,320 --> 01:42:09,240
Speaker 1: turkey and uh and garnish it with some peas. But

1779
01:42:10,040 --> 01:42:14,040
Speaker 1: speaking of turkeys, before I let you go, you killed

1780
01:42:14,080 --> 01:42:17,320
Speaker 1: a banded turkey. Did to the jealousy of all the

1781
01:42:17,439 --> 01:42:20,639
Speaker 1: duck hunters out there who wish they could take part. Well,

1782
01:42:20,720 --> 01:42:23,280
Speaker 1: what happened there? I mean, I don't know if they

1783
01:42:23,360 --> 01:42:25,759
Speaker 1: know this, but killing something the band on it doesn't

1784
01:42:25,800 --> 01:42:33,240
Speaker 1: require any extra talent part. Oh that's controversial, well, especially

1785
01:42:33,320 --> 01:42:37,200
Speaker 1: with turkeys. I mean I didn't know that he was banded. Um, yeah,

1786
01:42:37,240 --> 01:42:39,800
Speaker 1: I was in it. I was in a county southeast

1787
01:42:39,840 --> 01:42:43,200
Speaker 1: to Austin, not a very dense turkey population. In fact,

1788
01:42:43,880 --> 01:42:47,400
Speaker 1: I had never seen a turkey out there until he

1789
01:42:47,680 --> 01:42:52,559
Speaker 1: came in to those decoys. Um, my friend who lives

1790
01:42:52,600 --> 01:42:54,560
Speaker 1: on the property, he's not a hunter, but he's He

1791
01:42:54,680 --> 01:42:57,639
Speaker 1: told me in the spring they will see the gobblers

1792
01:42:57,720 --> 01:43:00,200
Speaker 1: talk to move out there, and we we shoot uh

1793
01:43:00,520 --> 01:43:04,560
Speaker 1: pigs out there. Um and uh my daughter shot a

1794
01:43:04,640 --> 01:43:07,439
Speaker 1: deer out there because it's a it's a dough. You

1795
01:43:07,479 --> 01:43:11,120
Speaker 1: can't shoot those there except for youth season. Um. But

1796
01:43:11,520 --> 01:43:14,120
Speaker 1: we've never seen any turkeys. I think a couple of

1797
01:43:14,120 --> 01:43:16,800
Speaker 1: pictures on camera. But he told me that he was

1798
01:43:16,840 --> 01:43:19,800
Speaker 1: starting to see a gobbler out in the afternoon. So

1799
01:43:19,880 --> 01:43:25,320
Speaker 1: went out there and set up and you know, I

1800
01:43:26,240 --> 01:43:29,720
Speaker 1: managed to do everything right, and he came in from

1801
01:43:29,720 --> 01:43:33,320
Speaker 1: a pretty long way off and came up to those decoys,

1802
01:43:33,320 --> 01:43:35,920
Speaker 1: did everything, and it took me about an hour to

1803
01:43:35,960 --> 01:43:40,000
Speaker 1: get him in. Uh. And I'm awful. H I'm I'm

1804
01:43:40,040 --> 01:43:44,360
Speaker 1: a slightly better croppy fisherman than I am at Colin turkeys. Um.

1805
01:43:45,000 --> 01:43:48,880
Speaker 1: And but he I guess I was intrigued by what

1806
01:43:49,040 --> 01:43:52,680
Speaker 1: these hands were saying. Um. It must have sounded I'm

1807
01:43:52,720 --> 01:43:56,360
Speaker 1: sure it was the foreign language. But he came in

1808
01:43:56,600 --> 01:43:59,600
Speaker 1: and I shot him, and I was very proud of that,

1809
01:43:59,680 --> 01:44:01,320
Speaker 1: and then walked up and he had a leg band.

1810
01:44:01,560 --> 01:44:05,600
Speaker 1: And so the next morning I called the Parks and

1811
01:44:05,640 --> 01:44:11,519
Speaker 1: Wildlife and got a message saying basically that everybody's furloughed

1812
01:44:11,600 --> 01:44:16,320
Speaker 1: and tough ship, we can't help you. And I was

1813
01:44:16,439 --> 01:44:20,559
Speaker 1: fortunate enough to Uh. I talked to colonel of game Wardens,

1814
01:44:20,600 --> 01:44:25,599
Speaker 1: who's a good guy to know, and uh, I messaged

1815
01:44:25,680 --> 01:44:27,040
Speaker 1: him and I was like, hey, man, I shot a

1816
01:44:27,120 --> 01:44:31,640
Speaker 1: banded turkey and he got all excited, um, and he

1817
01:44:31,720 --> 01:44:35,559
Speaker 1: gave me a biologist's number, and UH called and talked

1818
01:44:35,600 --> 01:44:37,880
Speaker 1: to that biologists probably talked to him for about thirty

1819
01:44:37,920 --> 01:44:43,600
Speaker 1: minutes about mostly predation on turkeys in Texas, like what

1820
01:44:43,840 --> 01:44:47,240
Speaker 1: likes to eat them? Uh. And then I talked to

1821
01:44:47,280 --> 01:44:50,679
Speaker 1: the field biologists who had actually participated in the banding

1822
01:44:50,800 --> 01:44:57,080
Speaker 1: survey of these turkeys, and they were a minimum they

1823
01:44:57,120 --> 01:44:59,880
Speaker 1: were they were adults. They were minimum two years old,

1824
01:45:00,800 --> 01:45:05,640
Speaker 1: three years ago in February. So he estimated that the

1825
01:45:05,720 --> 01:45:10,519
Speaker 1: bird was five probably six when I shot. It was

1826
01:45:10,600 --> 01:45:15,640
Speaker 1: a big old bird. And I I didn't measure the

1827
01:45:15,840 --> 01:45:20,559
Speaker 1: spurs or anything. I was more way in the breasts, uh,

1828
01:45:20,720 --> 01:45:24,439
Speaker 1: than than anything I posted on Instagram. And I know

1829
01:45:24,920 --> 01:45:27,360
Speaker 1: you posted it and people were like I want to

1830
01:45:28,200 --> 01:45:31,920
Speaker 1: and I'm like, yeah, I forgot about this. I did

1831
01:45:32,000 --> 01:45:35,880
Speaker 1: cut the beard off and is I think nine or

1832
01:45:36,000 --> 01:45:40,120
Speaker 1: ten inches long again. Yeah, he was a he was

1833
01:45:40,160 --> 01:45:43,280
Speaker 1: a big, big, big beautiful bird. Um, it's all I

1834
01:45:43,400 --> 01:45:46,000
Speaker 1: really care about for an old bird. I don't know,

1835
01:45:46,479 --> 01:45:50,439
Speaker 1: you know what the researches out there on eating old turkeys.

1836
01:45:50,520 --> 01:45:52,760
Speaker 1: But he was delicious. We I had some last night.

1837
01:45:52,760 --> 01:45:59,080
Speaker 1: I ate the tenderloins last night. Uh they were phenomenals, tender, beautiful, mild, perfect.

1838
01:46:00,200 --> 01:46:03,800
Speaker 1: Again another vote for turkey is possibly the best game.

1839
01:46:06,920 --> 01:46:10,760
Speaker 1: I want to say, yes, I I hesitate to like

1840
01:46:11,160 --> 01:46:13,400
Speaker 1: put it in and put it at the top, but boy,

1841
01:46:14,160 --> 01:46:16,720
Speaker 1: it's I don't know, it's like I think it of

1842
01:46:16,800 --> 01:46:19,920
Speaker 1: its seasonally anymore. Like it's not the same June. June

1843
01:46:20,000 --> 01:46:23,320
Speaker 1: isn't the same unless I have a U pile of

1844
01:46:23,400 --> 01:46:28,120
Speaker 1: turkeys legs and breasts and tenders and all the things

1845
01:46:28,320 --> 01:46:32,560
Speaker 1: in my freezer. Sadly enough, I it's it's August or

1846
01:46:32,880 --> 01:46:35,080
Speaker 1: April one right now. I haven't killed the turkey, and

1847
01:46:35,120 --> 01:46:37,680
Speaker 1: that that's probably been a decade since that's happened. So

1848
01:46:37,920 --> 01:46:40,639
Speaker 1: it's starting to get feeling a little feel a little

1849
01:46:40,680 --> 01:46:45,320
Speaker 1: desperate right now. Um but what like when you think about, um,

1850
01:46:45,920 --> 01:46:50,280
Speaker 1: there you go, you're in your office. Hey, we got

1851
01:46:50,320 --> 01:46:54,160
Speaker 1: almost got an hour before it did UM, so you

1852
01:46:54,240 --> 01:46:56,240
Speaker 1: know when you're when we're breaking down. We did this

1853
01:46:56,320 --> 01:46:58,560
Speaker 1: with Daniel prue It the other day and she just

1854
01:46:58,960 --> 01:47:02,080
Speaker 1: took a turkey and kind went through the parts and

1855
01:47:02,200 --> 01:47:05,120
Speaker 1: kind of how how to prepare and what to look for. UM.

1856
01:47:05,720 --> 01:47:07,600
Speaker 1: So folks go back and listen to that. But in

1857
01:47:07,680 --> 01:47:10,559
Speaker 1: your case, is there what's the go to recipes? Um?

1858
01:47:11,280 --> 01:47:14,800
Speaker 1: Just stuff that you just can't do without. Well, you know,

1859
01:47:15,040 --> 01:47:17,720
Speaker 1: I'll and I'll say right off that I I am

1860
01:47:17,880 --> 01:47:23,400
Speaker 1: not a plucker. Um. I skinned turkeys out because the

1861
01:47:24,280 --> 01:47:27,479
Speaker 1: the high use items that I'm going to get off

1862
01:47:27,560 --> 01:47:30,240
Speaker 1: turkey don't require skin and so in the field, does

1863
01:47:30,280 --> 01:47:32,599
Speaker 1: to make any sense to go through that process. Plus,

1864
01:47:32,680 --> 01:47:36,360
Speaker 1: I've I've really learned that the faster that I get

1865
01:47:36,439 --> 01:47:39,000
Speaker 1: that that meat cold, that it It's just like I

1866
01:47:39,520 --> 01:47:42,120
Speaker 1: appreciate the quality of it. UM. I like to to

1867
01:47:42,200 --> 01:47:44,560
Speaker 1: process them pretty quickly. And I'll go in and just

1868
01:47:44,640 --> 01:47:48,439
Speaker 1: skin out the breasts um, and then skin out the legs,

1869
01:47:48,560 --> 01:47:50,519
Speaker 1: pop them out of the joint and then just have

1870
01:47:50,960 --> 01:47:55,519
Speaker 1: two legs to breasts um, and then grab the liver um.

1871
01:47:56,600 --> 01:48:03,720
Speaker 1: The breasts I will make into uh cutlets mostly uh,

1872
01:48:04,040 --> 01:48:05,559
Speaker 1: which is what I had last night. Just a very

1873
01:48:05,600 --> 01:48:09,519
Speaker 1: standard bread and cutlet like a flour eggwash than bread

1874
01:48:09,600 --> 01:48:15,280
Speaker 1: crumb cutlet or melonaisa or scalopini or schnitzel or ton

1875
01:48:15,360 --> 01:48:17,519
Speaker 1: katsu or whatever you want to call it. Every culture

1876
01:48:17,560 --> 01:48:20,320
Speaker 1: has got their crispy fried meat, and I think that

1877
01:48:20,439 --> 01:48:23,280
Speaker 1: that's an excellent use for turkey. You need to make

1878
01:48:23,880 --> 01:48:27,200
Speaker 1: sure that you remove all the silver sinews. They are

1879
01:48:27,280 --> 01:48:31,560
Speaker 1: incredibly tough, even in the breast um or sausage. And

1880
01:48:31,640 --> 01:48:34,120
Speaker 1: people are like, you make sausage or a turkey breast,

1881
01:48:34,160 --> 01:48:37,080
Speaker 1: and yeah, I'm not gonna make just any sausage out

1882
01:48:37,120 --> 01:48:44,519
Speaker 1: of him. There's some more like esoteric, lighter sausages. My

1883
01:48:44,680 --> 01:48:48,280
Speaker 1: favorite one is Boudin Blanc and that confuses the people

1884
01:48:48,320 --> 01:48:50,800
Speaker 1: a lot because they assume that to be a cage

1885
01:48:50,840 --> 01:48:54,960
Speaker 1: and sausage. Boudin blanc is actually a French sausage. It's

1886
01:48:55,000 --> 01:48:57,639
Speaker 1: an Alsatian sausage, so it's got a lot of German

1887
01:48:58,280 --> 01:49:01,240
Speaker 1: influence on it as well as French. So it's bound

1888
01:49:01,320 --> 01:49:05,200
Speaker 1: with bread crumbs and cream um which you will find

1889
01:49:05,400 --> 01:49:07,760
Speaker 1: food and across the world is that it's bound with

1890
01:49:08,000 --> 01:49:11,960
Speaker 1: some sort of grain, uh, and be it rice or

1891
01:49:12,120 --> 01:49:15,360
Speaker 1: oats or or bread. And so this one is made

1892
01:49:15,400 --> 01:49:19,160
Speaker 1: with bread and cream, um, and then really light spicing,

1893
01:49:19,320 --> 01:49:21,920
Speaker 1: a little bit of caraway, a little bit of white

1894
01:49:21,960 --> 01:49:26,360
Speaker 1: pepper and lemon parsley. Uh. And it's very finely grouse sausage.

1895
01:49:26,520 --> 01:49:29,799
Speaker 1: And it's I mean, it's a way to really enjoy turkey.

1896
01:49:29,800 --> 01:49:32,000
Speaker 1: And it will stretch it too, because you're adding in

1897
01:49:32,760 --> 01:49:35,439
Speaker 1: the bread cream and so you know, four pounds of

1898
01:49:35,520 --> 01:49:39,439
Speaker 1: turkey breast will field seven pounds of sausage. Uh. And

1899
01:49:39,520 --> 01:49:41,559
Speaker 1: so it's a good way to take that like really

1900
01:49:41,640 --> 01:49:44,880
Speaker 1: nice turkey flavor and spread it out. And it's very

1901
01:49:44,920 --> 01:49:48,080
Speaker 1: easy sausage to cook as well, because you you poach

1902
01:49:48,200 --> 01:49:51,600
Speaker 1: them first and you can freeze them out poach and

1903
01:49:51,600 --> 01:49:52,880
Speaker 1: then all you need to do is go to a

1904
01:49:52,960 --> 01:49:55,360
Speaker 1: pan or on the grill after that, and it's a

1905
01:49:55,520 --> 01:49:59,479
Speaker 1: that's a fantastic sausage. UM. Other things with the breast

1906
01:50:00,479 --> 01:50:06,240
Speaker 1: fried uh you know, Brian itt, buttermilk it uh, throw

1907
01:50:06,240 --> 01:50:08,559
Speaker 1: it and flour as long as you've got eleven herbs

1908
01:50:08,600 --> 01:50:13,120
Speaker 1: and spices in the flower, it's gonna taste amazing. Uh.

1909
01:50:13,360 --> 01:50:17,479
Speaker 1: And then deep fry that and you know, but that's

1910
01:50:17,640 --> 01:50:21,720
Speaker 1: there's there's no no shame, there's nothing that It's been

1911
01:50:21,720 --> 01:50:23,400
Speaker 1: a while since I've done that, In fact, I've got

1912
01:50:23,439 --> 01:50:27,719
Speaker 1: I've gone to like hunting, glaze, smoked hunting, glazed breast,

1913
01:50:27,880 --> 01:50:29,559
Speaker 1: and all kinds of different things that I've done over

1914
01:50:29,600 --> 01:50:32,559
Speaker 1: the years. I've taken to we should I should get

1915
01:50:32,600 --> 01:50:36,200
Speaker 1: your opinion on the wild turkey court on blue. I've

1916
01:50:36,200 --> 01:50:41,960
Speaker 1: been criticized for that. I don't know why people are like, well,

1917
01:50:42,000 --> 01:50:44,800
Speaker 1: that's that's too simple, or that's just throwing cheese and

1918
01:50:44,880 --> 01:50:47,000
Speaker 1: ham inside of a good piece of meat. I'm not

1919
01:50:47,040 --> 01:50:49,640
Speaker 1: sure why people have there's been criticisms, or maybe I

1920
01:50:49,720 --> 01:50:52,639
Speaker 1: built that up in my head, but I love people

1921
01:50:52,680 --> 01:50:55,639
Speaker 1: get funny about things. So like, yeah, you put cheese

1922
01:50:55,680 --> 01:50:57,840
Speaker 1: and ham in there because cheese and hamm are good

1923
01:50:58,680 --> 01:51:02,360
Speaker 1: good and like turk, he's good. And then waddle those

1924
01:51:02,439 --> 01:51:06,559
Speaker 1: three things up. That's also good and no shame, no regrets.

1925
01:51:07,640 --> 01:51:11,960
Speaker 1: I would dismiss those people as as abject purists and

1926
01:51:12,080 --> 01:51:14,120
Speaker 1: they can go. I don't know what they're doing with

1927
01:51:14,160 --> 01:51:17,360
Speaker 1: their turkey, but I'm sure it's great. Yeah, that's that's

1928
01:51:17,520 --> 01:51:19,320
Speaker 1: that's been my That's when might go too. But I

1929
01:51:19,360 --> 01:51:21,639
Speaker 1: think frying this year I may. I'm starting to get

1930
01:51:21,680 --> 01:51:24,720
Speaker 1: really hungry. Now May May go and fry fry bird.

1931
01:51:24,760 --> 01:51:27,120
Speaker 1: Have you ever made if your ground turkey and then

1932
01:51:27,240 --> 01:51:30,040
Speaker 1: they just just straight up ground? Yeah, I mean make

1933
01:51:30,439 --> 01:51:33,719
Speaker 1: things like meatballs are really nice, you know. And again

1934
01:51:34,640 --> 01:51:36,439
Speaker 1: it's when you're when you're doing things like this, you're

1935
01:51:36,479 --> 01:51:38,360
Speaker 1: not wasting that. I mean sometimes people will be like,

1936
01:51:38,360 --> 01:51:39,840
Speaker 1: I can't leave you ground it, but it's like, no,

1937
01:51:40,040 --> 01:51:43,960
Speaker 1: we're the preparation you make from that ground meat, should

1938
01:51:44,360 --> 01:51:46,720
Speaker 1: you know, really elaborate on flavor of the turkey. So

1939
01:51:46,800 --> 01:51:49,200
Speaker 1: I would like make a meatball that would be something

1940
01:51:49,360 --> 01:51:51,800
Speaker 1: very very light, you know, would have like limit in there.

1941
01:51:52,120 --> 01:51:55,000
Speaker 1: Maybe meant you can even grind things like a rugula

1942
01:51:55,120 --> 01:51:57,840
Speaker 1: or something in there that it's like like light, springy

1943
01:51:57,960 --> 01:52:00,400
Speaker 1: things that are gonna go with turkey really well. And

1944
01:52:00,439 --> 01:52:02,000
Speaker 1: then you don't necessarily have to put that in a

1945
01:52:02,080 --> 01:52:04,320
Speaker 1: tomato sauce. I mean you could make you could take

1946
01:52:04,400 --> 01:52:08,000
Speaker 1: turkey sauce turkey stock which I'll get to in a second,

1947
01:52:08,200 --> 01:52:09,880
Speaker 1: and just thicking that with a little bit of rude

1948
01:52:10,040 --> 01:52:13,840
Speaker 1: like a flower flour and butter rue and just thicking

1949
01:52:13,880 --> 01:52:16,040
Speaker 1: that up and use that as your sauce for some

1950
01:52:16,280 --> 01:52:19,960
Speaker 1: meatballs or serve it over rice. Things like that. Great um,

1951
01:52:20,720 --> 01:52:23,080
Speaker 1: you could take ground turkey and put it on a

1952
01:52:23,160 --> 01:52:26,920
Speaker 1: skewer with grated onion and a little bit of allspice

1953
01:52:27,200 --> 01:52:29,880
Speaker 1: and grill that and get a nice smokey jar on there,

1954
01:52:30,280 --> 01:52:33,559
Speaker 1: serve that over rice with some yogurt, a million things,

1955
01:52:33,760 --> 01:52:37,439
Speaker 1: and um, you know, I just encourage people experiment, but

1956
01:52:37,680 --> 01:52:41,320
Speaker 1: I don't think that you know, don't don't think you're

1957
01:52:41,320 --> 01:52:43,720
Speaker 1: gonna mess it up or listen when people tell you

1958
01:52:43,880 --> 01:52:50,280
Speaker 1: not to put tammy cheese and it's just America, America. Yeah, No,

1959
01:52:50,360 --> 01:52:53,320
Speaker 1: I've I've I very much look forward to. I got

1960
01:52:53,400 --> 01:52:55,519
Speaker 1: a commercial slicer, so I've very much look forward to

1961
01:52:55,600 --> 01:52:57,599
Speaker 1: like smoking a turkey and slicing it up for lunch,

1962
01:52:57,960 --> 01:53:02,000
Speaker 1: you know, for sandwich meat. Simple, yes, absolutely, but so

1963
01:53:02,240 --> 01:53:04,439
Speaker 1: essential to just kind of like daily eating. To have

1964
01:53:05,160 --> 01:53:08,920
Speaker 1: you know, a vaccineled pack of smoke wild turkey. Yeah

1965
01:53:09,080 --> 01:53:10,680
Speaker 1: I did that last year. I smoked a couple of

1966
01:53:10,760 --> 01:53:14,679
Speaker 1: turkey breasts really well. Um. And yeah that those little

1967
01:53:15,360 --> 01:53:18,200
Speaker 1: cheap slices that you can have in in at your

1968
01:53:18,240 --> 01:53:20,720
Speaker 1: house make a big difference, you know, because getting that

1969
01:53:20,840 --> 01:53:25,400
Speaker 1: that thinness is is key. Uh yeah, but give me

1970
01:53:25,479 --> 01:53:28,479
Speaker 1: the turkey stock, your turkey stock thoughts. Yeah, I mean

1971
01:53:28,520 --> 01:53:31,639
Speaker 1: the way I do it um, and I like things

1972
01:53:31,680 --> 01:53:35,000
Speaker 1: to be very simple. Um. I will take the legs

1973
01:53:35,360 --> 01:53:38,160
Speaker 1: and put them in the crock pot with whatever parametric

1974
01:53:38,280 --> 01:53:43,960
Speaker 1: paramatic vegetables I have, carrot, onion, celery, parsley, onion skins,

1975
01:53:44,040 --> 01:53:46,600
Speaker 1: garlic skins, whatever is laying around, and I'll put them

1976
01:53:46,640 --> 01:53:48,719
Speaker 1: in there and I'll cook them until they're falling apart,

1977
01:53:49,400 --> 01:53:51,479
Speaker 1: which is a long time for a turkey legs. You

1978
01:53:51,560 --> 01:53:54,000
Speaker 1: think of the workout that those legs yet, that's why

1979
01:53:54,320 --> 01:53:57,640
Speaker 1: they take so long to cook. Uh. Six hours is

1980
01:53:57,840 --> 01:54:02,559
Speaker 1: probably the minimum. UM plenty of water, really just fill

1981
01:54:02,640 --> 01:54:04,120
Speaker 1: that thing up as much and you can also do

1982
01:54:04,200 --> 01:54:06,559
Speaker 1: it in a pot on the stove. And what I'm

1983
01:54:06,640 --> 01:54:10,320
Speaker 1: doing there is basically I'm gonna cook those legs uh

1984
01:54:10,479 --> 01:54:13,400
Speaker 1: and get a lot as much really good turkey stock

1985
01:54:13,520 --> 01:54:16,200
Speaker 1: as I can out of that because it's very useful

1986
01:54:16,560 --> 01:54:20,759
Speaker 1: to me for many different things, from making rice, making gravies,

1987
01:54:20,840 --> 01:54:26,280
Speaker 1: pot pies, dumplings, soups, anything like that. Is take that stock,

1988
01:54:26,360 --> 01:54:29,920
Speaker 1: pour that through a strainer, freeze it into appropriate um

1989
01:54:30,880 --> 01:54:35,040
Speaker 1: portions for your familial situation. For me, I quart is

1990
01:54:35,120 --> 01:54:38,320
Speaker 1: really nice, and then I take that shredded meat and

1991
01:54:38,800 --> 01:54:41,240
Speaker 1: from there you can do anything you want. Um. You

1992
01:54:41,320 --> 01:54:43,800
Speaker 1: can make some molee if you if you're in quarantine,

1993
01:54:43,840 --> 01:54:47,960
Speaker 1: you have time to toast thirty five ingredients um and

1994
01:54:48,040 --> 01:54:52,000
Speaker 1: then grind them um. Or you can just make simple

1995
01:54:52,400 --> 01:54:55,440
Speaker 1: tacos out of that and you can make egg rolls. Uh.

1996
01:54:55,760 --> 01:54:59,280
Speaker 1: You can put that an aposta sauce. Uh, you know,

1997
01:54:59,560 --> 01:55:03,560
Speaker 1: cream or tomato or uh, like I said, a pot

1998
01:55:03,600 --> 01:55:07,760
Speaker 1: pie or turkey and dumplings, things like that. But I

1999
01:55:07,960 --> 01:55:11,600
Speaker 1: just like to have that shredded meat done to stock done.

2000
01:55:12,120 --> 01:55:13,800
Speaker 1: And it's super simple. But I mean, you can also

2001
01:55:13,960 --> 01:55:16,600
Speaker 1: cook a turkey leg whole. I've got a recipe in

2002
01:55:16,680 --> 01:55:19,080
Speaker 1: my book for like a tomato braise turkey leg. It's

2003
01:55:19,160 --> 01:55:21,800
Speaker 1: really good. Uh. And I like that a lot, but

2004
01:55:21,840 --> 01:55:23,360
Speaker 1: it's kind of it's a that's a lot of food.

2005
01:55:23,480 --> 01:55:26,080
Speaker 1: I mean, a le quarter on a a big gobbler

2006
01:55:26,320 --> 01:55:30,520
Speaker 1: feeds a lot of people. Um. But you know, simple approach,

2007
01:55:30,600 --> 01:55:32,400
Speaker 1: you know, I take those breasts and break them down

2008
01:55:32,400 --> 01:55:35,920
Speaker 1: into portions, back seal those and uh, and then cook

2009
01:55:35,960 --> 01:55:38,560
Speaker 1: off the legs and then I have stock, and then

2010
01:55:38,560 --> 01:55:41,520
Speaker 1: I have shredded meat and everything gets vacksealed a portion. Um.

2011
01:55:42,000 --> 01:55:46,160
Speaker 1: And although we typically I'll eat the leg meat before

2012
01:55:46,240 --> 01:55:48,840
Speaker 1: I have to freeze. But I'm hearing a lot of

2013
01:55:48,880 --> 01:55:51,000
Speaker 1: things I want to do this year. Egg rolls is

2014
01:55:51,080 --> 01:55:54,720
Speaker 1: definitely one of them, good for sure. But yeah, I've

2015
01:55:54,720 --> 01:55:56,200
Speaker 1: done that with turkey stock in the past two and

2016
01:55:56,280 --> 01:55:58,880
Speaker 1: I love it. Um. You know, it's always people. I

2017
01:55:58,920 --> 01:56:01,920
Speaker 1: think it. I think where it just like I think

2018
01:56:02,040 --> 01:56:05,240
Speaker 1: of archery turkey hunting, where people only show the success

2019
01:56:05,400 --> 01:56:08,720
Speaker 1: and not the failure. Archery turkey younging is very hard

2020
01:56:09,280 --> 01:56:11,280
Speaker 1: and there's a lot of failure, a lot of wounded

2021
01:56:11,320 --> 01:56:13,840
Speaker 1: birds um that go part of it. It's the same

2022
01:56:13,920 --> 01:56:17,000
Speaker 1: thing with turkey legs. A lot of people are saying

2023
01:56:17,040 --> 01:56:19,160
Speaker 1: they're cooking them, but you never see the examples of

2024
01:56:19,280 --> 01:56:21,200
Speaker 1: what they've cooked. I think a lot of people are

2025
01:56:21,240 --> 01:56:23,240
Speaker 1: just messing it up and throwing them away. I mean

2026
01:56:23,280 --> 01:56:25,360
Speaker 1: I've it's been a while, but I've thrown turkey legs

2027
01:56:25,360 --> 01:56:28,080
Speaker 1: away before, just just trying new things and trying to

2028
01:56:28,120 --> 01:56:30,920
Speaker 1: get creative and just completely screwing it up. Yeah, it's

2029
01:56:30,960 --> 01:56:33,000
Speaker 1: a no brainer to just poach them in the crock

2030
01:56:33,080 --> 01:56:35,120
Speaker 1: pot like that and then and it's really easy to

2031
01:56:35,200 --> 01:56:38,040
Speaker 1: get those those sin us, those really hard sin us

2032
01:56:38,080 --> 01:56:40,120
Speaker 1: out too, and you just cool, let it cool. Off

2033
01:56:40,200 --> 01:56:42,800
Speaker 1: and strip it right off into your hand, and it's

2034
01:56:42,800 --> 01:56:46,280
Speaker 1: so easy, and you get this incredibly beautiful, rich yellow

2035
01:56:46,680 --> 01:56:49,920
Speaker 1: stock out of it. Um And you know, I think

2036
01:56:49,960 --> 01:56:53,120
Speaker 1: that's just the best way. I love it. I love it. Well.

2037
01:56:53,240 --> 01:56:56,680
Speaker 1: I'm sufficiently hungry. And you got you sparked my interest

2038
01:56:56,760 --> 01:56:59,960
Speaker 1: in um P options in my life, because I don't

2039
01:57:00,040 --> 01:57:03,040
Speaker 1: want to be a chink in the armor, A chink

2040
01:57:03,080 --> 01:57:05,520
Speaker 1: in the armor as weird as my armor seems to

2041
01:57:05,600 --> 01:57:10,640
Speaker 1: be white, white claw and peas um. Well, the white

2042
01:57:10,680 --> 01:57:17,280
Speaker 1: cloth that was up in Montana last summer, that was weird. Yeah, yeah, yeah, um,

2043
01:57:17,600 --> 01:57:19,320
Speaker 1: I guess it's not I never had it when I

2044
01:57:19,400 --> 01:57:20,760
Speaker 1: was in Austin. I guess it's not a big thing

2045
01:57:20,840 --> 01:57:23,000
Speaker 1: down there. Oh, and there's no I mean, and everybody

2046
01:57:23,080 --> 01:57:26,920
Speaker 1: up there drinks that. There's no cultural or there's no

2047
01:57:27,040 --> 01:57:30,760
Speaker 1: divide like I mean, you can be a burly elk

2048
01:57:30,880 --> 01:57:34,840
Speaker 1: guy and drink a white cloth safely. You know, it

2049
01:57:34,920 --> 01:57:39,800
Speaker 1: doesn't it's not like that everyone. Yeah, it's a connective tissue,

2050
01:57:39,840 --> 01:57:42,240
Speaker 1: that white cloth. I remember when I first saw a

2051
01:57:42,320 --> 01:57:44,720
Speaker 1: billboard for it, I thought, that's the dumbest thing I've

2052
01:57:44,720 --> 01:57:48,000
Speaker 1: ever seen. Look at that idiot drinking that I'd never

2053
01:57:48,120 --> 01:57:52,160
Speaker 1: drink that. And then next thing I know, I'm nursing. Yeah,

2054
01:57:52,160 --> 01:57:55,800
Speaker 1: it's midnight and I've I've scorned the whiskey for a

2055
01:57:56,080 --> 01:58:02,560
Speaker 1: Clementine low calorie white cloth. It's like the court on Blurter. Man,

2056
01:58:02,600 --> 01:58:05,920
Speaker 1: it's a pretty country, and he just I know what

2057
01:58:06,000 --> 01:58:08,920
Speaker 1: I like, you know, back off America. Let me do

2058
01:58:08,960 --> 01:58:11,720
Speaker 1: what I want to do, all right, man. Well, I'm

2059
01:58:11,760 --> 01:58:14,960
Speaker 1: glad you guys are doing okay down there, um, and

2060
01:58:15,040 --> 01:58:16,800
Speaker 1: I'm sure when this is all over, you guys will

2061
01:58:16,800 --> 01:58:18,520
Speaker 1: find the positives out of this and there'll be new

2062
01:58:18,920 --> 01:58:20,800
Speaker 1: cool things that you guys are gonna be doing, and

2063
01:58:20,920 --> 01:58:25,320
Speaker 1: you'll have um classes full of eager new hunters and

2064
01:58:25,520 --> 01:58:27,520
Speaker 1: and a bunch of other stuff will be happening. That

2065
01:58:27,720 --> 01:58:30,400
Speaker 1: that as well deserved. So thinking about you guys and

2066
01:58:30,640 --> 01:58:34,160
Speaker 1: knowing it'll it'll get better. Thank you. I appreciate the support.

2067
01:58:34,280 --> 01:58:38,320
Speaker 1: It's nice to have a conversation about some things outside

2068
01:58:38,360 --> 01:58:41,720
Speaker 1: of the current situation too. So that's right. At least

2069
01:58:41,760 --> 01:58:43,200
Speaker 1: we can. At least we can. Turkey and I gotta

2070
01:58:43,200 --> 01:58:45,080
Speaker 1: get out here, and I got too. I'll tell a

2071
01:58:45,160 --> 01:58:47,040
Speaker 1: story at some point here soon. But I got two

2072
01:58:47,120 --> 01:58:50,280
Speaker 1: times that are just just pulling all my heart strings

2073
01:58:50,400 --> 01:58:53,000
Speaker 1: every time I go up and take a look at him.

2074
01:58:53,200 --> 01:58:56,320
Speaker 1: So I gotta go and apply some energy to how

2075
01:58:56,360 --> 01:58:59,600
Speaker 1: I'm gonna kill him. Yeah, go get him, all right, man? Thanks,

2076
01:59:00,200 --> 01:59:13,240
Speaker 1: thank you? All right, that's it. That is all another

2077
01:59:13,280 --> 01:59:17,720
Speaker 1: episode in the Books, episode one four, and we're cruising

2078
01:59:17,760 --> 01:59:21,000
Speaker 1: along into may you know, I have to take a

2079
01:59:21,120 --> 01:59:24,200
Speaker 1: quick pause after we finished recording with Pat Durkin and

2080
01:59:24,240 --> 01:59:30,480
Speaker 1: Spencer Um. Spencer urban dictionary? Is that a Urban dictionaries?

2081
01:59:30,520 --> 01:59:33,640
Speaker 1: That a urban dictionary? Yeah? I think it is. Um

2082
01:59:34,080 --> 01:59:38,200
Speaker 1: what wet garden means and it doesn't mean the same

2083
01:59:38,280 --> 01:59:41,600
Speaker 1: thing as a wet market. Confirmed, So I'm not gonna

2084
01:59:41,640 --> 01:59:44,360
Speaker 1: tell you what it means, but you can imagine, or

2085
01:59:44,480 --> 01:59:46,600
Speaker 1: you can look at Urban Dictionary and find out for yourself.

2086
01:59:46,680 --> 01:59:49,160
Speaker 1: But thanks for thanks for thanks to Pat Durkin for

2087
01:59:49,280 --> 01:59:53,040
Speaker 1: joining us in that unintentional, beautiful remark. Really is one

2088
01:59:53,040 --> 01:59:56,240
Speaker 1: of my favorite guys out there, and Um has a great,

2089
01:59:56,560 --> 01:59:59,480
Speaker 1: great part of the Mediator team, and you're gonna be

2090
02:00:00,040 --> 02:00:03,840
Speaker 1: hopefully with us more often going forward here on the show.

2091
02:00:04,360 --> 02:00:06,560
Speaker 1: And so thanks to Spencer as well for giving us

2092
02:00:06,600 --> 02:00:09,920
Speaker 1: some laughs and some good stories. And Jesse Griffith's UM again,

2093
02:00:10,320 --> 02:00:12,840
Speaker 1: I say this all the time, but I really do mean. Uh,

2094
02:00:13,320 --> 02:00:15,920
Speaker 1: you know, one of my favorite guys on the face

2095
02:00:15,960 --> 02:00:17,320
Speaker 1: of the earth is one of the best cooks. And

2096
02:00:17,520 --> 02:00:19,880
Speaker 1: I look forward to Jesse, you son of a bitch.

2097
02:00:19,960 --> 02:00:24,120
Speaker 1: I look forward to the Great P Showdown of Phil.

2098
02:00:24,200 --> 02:00:25,920
Speaker 1: What are you? What are your thoughts on I know

2099
02:00:26,040 --> 02:00:27,640
Speaker 1: you listen to the interview? What are your thoughts on

2100
02:00:28,640 --> 02:00:32,040
Speaker 1: the Great P Debate? Well, I mean, I think you're wrong.

2101
02:00:32,240 --> 02:00:34,800
Speaker 1: This was established and one of my first appearances on

2102
02:00:35,120 --> 02:00:39,200
Speaker 1: on the podcast. Peas are delicious in every form, and uh,

2103
02:00:40,040 --> 02:00:42,400
Speaker 1: we were talking after the interview with Patton Spencer. How

2104
02:00:43,000 --> 02:00:44,600
Speaker 1: you know we could just pure them and put them

2105
02:00:44,600 --> 02:00:46,880
Speaker 1: on a little rubber coated spoon and fly them into

2106
02:00:46,920 --> 02:00:49,520
Speaker 1: your mouth like it's an airplane land coming in for

2107
02:00:49,600 --> 02:00:51,880
Speaker 1: a landing. I think that might be the way to go.

2108
02:00:52,240 --> 02:00:56,160
Speaker 1: We'll just have to We'll have to handcuff your cut off,

2109
02:00:56,200 --> 02:00:58,520
Speaker 1: your hands between your back and tie you to a chair.

2110
02:00:59,280 --> 02:01:01,840
Speaker 1: Here you care a little buddy, That's fine, That's fine.

2111
02:01:01,880 --> 02:01:03,520
Speaker 1: Like I said, it's just part of the brand now.

2112
02:01:03,640 --> 02:01:05,640
Speaker 1: And that's how I gotta live my life. I'm not

2113
02:01:05,720 --> 02:01:08,600
Speaker 1: I'm not backing down from a fight. So I can't

2114
02:01:08,600 --> 02:01:10,120
Speaker 1: wait to I can actually get on the plane go

2115
02:01:10,200 --> 02:01:12,800
Speaker 1: down there to Texas, maybe shooting access to here and

2116
02:01:12,920 --> 02:01:15,760
Speaker 1: see if there we can cover it in some sort

2117
02:01:15,800 --> 02:01:20,160
Speaker 1: of p situation. Um. But the challenge remains, so we'll

2118
02:01:20,200 --> 02:01:22,320
Speaker 1: look forward to that. But next week on the show,

2119
02:01:22,400 --> 02:01:26,160
Speaker 1: fill is a pretty interesting one. We're about to record

2120
02:01:26,240 --> 02:01:29,480
Speaker 1: here in the next couple of days interview with you

2121
02:01:29,520 --> 02:01:33,640
Speaker 1: know a man named Brett bond Um. You'll likely know Brett,

2122
02:01:34,400 --> 02:01:38,000
Speaker 1: but not from his name. You will know him from

2123
02:01:38,160 --> 02:01:42,840
Speaker 1: photos that went around the internet. Oh, I'd say about

2124
02:01:42,840 --> 02:01:45,400
Speaker 1: two or three weeks ago. It was as viral as

2125
02:01:45,520 --> 02:01:48,440
Speaker 1: viral could be. Ended up being talked about on a

2126
02:01:48,520 --> 02:01:52,240
Speaker 1: bunch of podcasts. Joe Rogan touched on it um this

2127
02:01:52,560 --> 02:01:54,720
Speaker 1: this was a set of photos that went viral, and

2128
02:01:54,800 --> 02:01:58,560
Speaker 1: that set of photos was at B B b Alaskin

2129
02:01:59,280 --> 02:02:04,720
Speaker 1: on Instagram. That's Brett's Instagram. His father was attacked by

2130
02:02:04,760 --> 02:02:08,480
Speaker 1: a bear four years ago and the bear, I don't

2131
02:02:08,480 --> 02:02:12,480
Speaker 1: know how to say this, delicately ripped his face off, um,

2132
02:02:14,080 --> 02:02:19,240
Speaker 1: but he survived. Brett's Dad's arrived, Brett killed the bear,

2133
02:02:19,640 --> 02:02:23,840
Speaker 1: saved his father, and then documented the the gruesome, absolutely

2134
02:02:23,920 --> 02:02:27,680
Speaker 1: gruesome damage with some videos and photos that you will

2135
02:02:27,800 --> 02:02:31,120
Speaker 1: never forget if you see them. Um and so I

2136
02:02:31,240 --> 02:02:33,760
Speaker 1: love a good story. I know you love a good story, Phil.

2137
02:02:34,320 --> 02:02:37,680
Speaker 1: This one is cringe worthy and also something where we

2138
02:02:37,760 --> 02:02:41,440
Speaker 1: can learn from from Brett's knowledge and his quick action

2139
02:02:41,520 --> 02:02:44,440
Speaker 1: to save his dad's life and his dad spoiler alert

2140
02:02:44,600 --> 02:02:49,600
Speaker 1: is is doing pretty good nowadays. So it's an interesting story.

2141
02:02:49,640 --> 02:02:52,760
Speaker 1: It's connected to kind of how our culture has has

2142
02:02:52,840 --> 02:02:54,720
Speaker 1: come up with bear attacks and a little bit of

2143
02:02:54,800 --> 02:02:57,320
Speaker 1: what's happened during the quarantine. Because I must have had

2144
02:02:57,640 --> 02:03:01,440
Speaker 1: about a thousand people share that post that Brett made

2145
02:03:01,760 --> 02:03:05,160
Speaker 1: with me on Instagram. So next week, the incredible story

2146
02:03:05,200 --> 02:03:08,800
Speaker 1: of Brett Vaughn saving his father in Alaska from a

2147
02:03:08,840 --> 02:03:13,320
Speaker 1: Grizza grad attack. We'll see then by back. Because I

2148
02:03:13,400 --> 02:03:19,000
Speaker 1: can't go a week without doing run oh without a

2149
02:03:19,880 --> 02:03:28,760
Speaker 1: rung breaking out, drinking