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Speaker 1: This is me eat podcast coming at you shirtless, severely

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Speaker 1: bug Bitten, and in my case, underwear listening podcast. You

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Speaker 1: can't predict anything presented by first, like creating proven versatile

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Speaker 1: hunting apparel from Marino bass layers to technical outerwear for

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Speaker 1: every hunt. First like go farther, stay longer. Uh, you

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Speaker 1: want to talk about severely bug bitten? You know what?

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Speaker 1: That's a reference to the andro of the podcast. Very good? Um,

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Speaker 1: holy shit. So, Uh, I'm working I don't even know

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Speaker 1: if you guys know about this thing. I'm working on

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Speaker 1: this same with Phelps, where I've been saying to him

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Speaker 1: how I wanted, uh do a turkey call project Jason

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Speaker 1: Phelps and Phelps game calls. I want to do a

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Speaker 1: turn call project where we walk people through the process

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Speaker 1: of making turkey calls. Starting with a tree. So he's

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Speaker 1: got a buddy where he hunts in. Um, he'd hunted

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Speaker 1: there to spring on this guy's place in Kansas. And

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Speaker 1: this guy's got a ton of black walnuts not far

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Speaker 1: from Walnut, Kansas, so many black walnuts. And he's got

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Speaker 1: a bunch of oh sage orange on his place. So

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Speaker 1: me and Felts went there and we're with some walnut

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Speaker 1: experts and cruised around while you're smirking, she never heard

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Speaker 1: of a walnut walnut expert. That's a pretty neat is

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Speaker 1: this guy's hat, says, we buy walnut logs. I hinted

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Speaker 1: very heavily about wanting that hat, but did not take

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Speaker 1: the bab was like, my goodness, that's a nice hat.

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Speaker 1: I'd love to have a hat like that. Give me

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Speaker 1: your hat, pick it up. Walnut, Kansas. We selected a

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Speaker 1: big gass walnut. I felled it and learned a new

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Speaker 1: felling technique. Um, like when you're cutting stove wood, you

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Speaker 1: know how like the classic and they do it out here.

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Speaker 1: You know, you got your class where you cut the

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Speaker 1: v notch, you know, I mean they want that thing

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Speaker 1: down to the dirt, man, like you could drive a

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Speaker 1: lawnmower over the stumps they leave in the woods. They

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Speaker 1: don't because it's expensive lumber. Yeah, Like when they're doing

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Speaker 1: these like very you know, I mean they you could

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Speaker 1: be cutting down a seven eight thousand dollar tree, you know,

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Speaker 1: Um yeah, they don't. I mean down to the dirt,

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Speaker 1: and they court I'll have to get into a similar time.

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Speaker 1: And it was learned learning interesting felling technique so we

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Speaker 1: felt a big gass walnut and we fetishized its not

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Speaker 1: like big in what a walnut could be, but uh yeah,

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Speaker 1: twenty eight inch bar wouldn't get through it. Um fetishized

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Speaker 1: with a drone and stuff like that, so people can

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Speaker 1: really get to know the tree. Well, what's his name

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Speaker 1: or her name? And then Phelps Then we went and

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Speaker 1: Phelps cut down uh oh sage orange and our estimate

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Speaker 1: is that we'll get a thousand pot calls out of

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Speaker 1: that black walnut. What's the orange for the strikers? He

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Speaker 1: thinks we'll get over a thousand strikers out of the

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Speaker 1: o s a orange, cut it down, bucked it up,

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Speaker 1: brought it to a mill, milled it into and uh

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Speaker 1: we milled it um six It's kind of weird how

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Speaker 1: they do it. Six quarters so inch and a half pieces,

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Speaker 1: but they don't say that when you're running the mill.

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Speaker 1: They say six quarters. I was like, you mean like

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Speaker 1: an inch and a half and they're like six quarters.

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Speaker 1: That's why you didn't get that hat smart And then

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Speaker 1: the strike of pieces we milled smaller and uh anyways,

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Speaker 1: holy cowman, did I get mauled by chiggers the first

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Speaker 1: day I did the promethron all over the place. Um.

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Speaker 1: The second day, we're like going to the mill and

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Speaker 1: I didn't know what the hell I pictured it. I

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Speaker 1: don't know. We're going to this guy's mill, and um

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Speaker 1: I wanted being His mill is basically out in knee

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Speaker 1: knee high grass and we were out there for five

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Speaker 1: hours mill and lumber. And I didn't do anythings. I

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Speaker 1: just had a pair of sneakers on and man, that

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Speaker 1: came up my legs. Dude, I'm in like suffering. Oh

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Speaker 1: this is different bleach bath yet. No, I haven't done

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Speaker 1: any of those tricks we learned the Missouri Like what

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Speaker 1: do you do you see a diesel fuel? Yeah, don't

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Speaker 1: stop bleach. I'm trying to imagine my wife where I'm like, no, baby,

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Speaker 1: I'm just gonna fill this up with diesel. Feeling like

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Speaker 1: everybody we talked to you told us a false. In Missouri,

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Speaker 1: everybody told us a false. And about what chiggers do,

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Speaker 1: we were told many times that they lay eggs inside

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Speaker 1: of you and you need to kill the eggs with

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Speaker 1: gas bleach yah or by like shut eggs can't breathe

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Speaker 1: a lot of misinformation. I go to the doctors. I

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Speaker 1: even know, I had to go on steroids. I got

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Speaker 1: it so bad. The first time I got it, I

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Speaker 1: was like running a fever from Yeah, yeah, she's been there.

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Speaker 1: She's like, do they like lay an egg inside of you?

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Speaker 1: I'm like, no, they don't lay an egg inside. The

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Speaker 1: doctor asked you that, like, it's not a bot fly.

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Speaker 1: She gave me steroids though, and then so that and

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Speaker 1: then this, like, well on my arms. I was camping

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Speaker 1: with my kids on Saturday night and we got up

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Speaker 1: Sunday morning, went for a hike and it got pretty

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Speaker 1: hot out and the kids wanted to strip down and

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Speaker 1: jump in this little creek and it's just the temperature

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Speaker 1: came up and it was just we're in a big

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Speaker 1: burn area and it's crazy wild flowers and just pollinators everywhere,

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Speaker 1: and man, it got to like, I don't know, at

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Speaker 1: some magical temperature, everything just turned crazy and the kids

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Speaker 1: got stung up. I got this one that's from a beasting.

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Speaker 1: I thought that was the royds. No getting amped over there. Yeah,

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Speaker 1: there's like a bicep size well on Steve's its harm

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Speaker 1: below his elbow looks. It looks like it's just I

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Speaker 1: feel like you need to go to the doctor and

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Speaker 1: have it drained. I'm gonna wait and see. He's my

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Speaker 1: doctor's love. He's going to wait and see. Method. Stay

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Speaker 1: tuned everyone for the next Instagram post where Steve work

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Speaker 1: on Instagram. I might put that on here. So the

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Speaker 1: thing we're gonna do is we're gonna have a thousand

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Speaker 1: turkey calls. I'm gonna call it. We're gonna call it

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Speaker 1: the line one call in reference to the line one Herford.

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Speaker 1: I just like that line one. So we're gonna number

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Speaker 1: him one doing. What does that mean? Because the next

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Speaker 1: time we chop a tree down and do a whole thing,

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Speaker 1: we're going to film the whole thing. So we cut

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Speaker 1: it down, milled it. We're gonna film killing, drying the lumber.

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Speaker 1: You're gonna be exciting. We're gonna have well, just the

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Speaker 1: thing about it, Yeah, it's the videos. The videos eight

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Speaker 1: weeks long TV. People be like, man, that one part

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Speaker 1: where it's like in that killing for six hours only

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Speaker 1: six weeks. I got boring. Film the whole process, and

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Speaker 1: then we're gonna sell the calls, and so you can

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Speaker 1: get a call where you watch the whole process happened,

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Speaker 1: cut down the tree. But here's what we want to do.

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Speaker 1: We're gonna number them like fine art, like print runs.

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Speaker 1: So whatever, if the tree yields one thousand and eleven calls,

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Speaker 1: we're gonna sell one thousand and eleven numbered one to

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Speaker 1: one thousand and eleven. And it's off the tree that

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Speaker 1: I cut, and the striker comes from the tree that

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Speaker 1: Felps cut, and we do the whole thing. What we

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Speaker 1: want to do is then have a drawing and we

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Speaker 1: draw a number one to one thousand eleven. Whoever holds

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Speaker 1: the call gets to go hunt the place where the

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Speaker 1: tree came from. You mean, whoever whoever filled killed ads

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Speaker 1: from the tree? Who you mean whoever pulls number one? No,

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Speaker 1: you take numbers one, take ping pong balls and have

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Speaker 1: someone I don't know who spencer or someone ping pong

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Speaker 1: balls and label them one to eleven, and you put

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Speaker 1: him into the one of those ping pong ball blowers

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Speaker 1: eventually spits a number out, spits a ping pong ball out.

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Speaker 1: Whoever bought that turkey call gets to so let's say

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Speaker 1: it spits out like nin Whoever holds that call gets

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Speaker 1: a free turkey hunt where we cut the trees down.

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Speaker 1: And I think we would call in and kill a

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Speaker 1: turkey on the stump. That's good content. Yeah, that's good.

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Speaker 1: I feel like Spencer. He acts like he doesn't like

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Speaker 1: my idea. I love it. Yeah. Joined by Kevin Gillespie.

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Speaker 1: What's up, guys, and our very own Daniel Prude is

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Speaker 1: here as well. Don't make it up to the old

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Speaker 1: office very much, do you. I was just telling them

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Speaker 1: my last time here was that Christmas party. Really that's

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Speaker 1: probably a good time. That's a nice job. I should

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Speaker 1: do that long time. Yeah. So you probably just go

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Speaker 1: weeks atout doing nothing because no one, no one to

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Speaker 1: catch you. I wish no just be like, oh yeah,

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Speaker 1: I'm real busy now I bother everybody on Slack and

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Speaker 1: tell everybody and we need a meeting. It's a true

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Speaker 1: story from Kevin Gillaspie of many things, like red Beard

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Speaker 1: Restaurant group, well for now until it's starting to go gray.

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Speaker 1: So we may be changing the name of the restaurant.

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Speaker 1: You really changed around the gray Beard like a pirate

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Speaker 1: theme park, Yes, speckled Calico Beard something I don't know.

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Speaker 1: We gotta work to gray Beard. Um did a couple

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Speaker 1: of stints over at Bravo's Top Shelf. Ye is working

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Speaker 1: with us now good stuff. Yeah. Man, somebody at the

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Speaker 1: montana Al Works had a freak out last night when

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Speaker 1: they recognized me from Top Chef. Yeah. I ended up

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Speaker 1: taking photos like ten people at their works last night. Yeah,

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Speaker 1: it just started a chain reaction. I don't think the

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Speaker 1: tenth person knew who I was, and they were like, well,

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Speaker 1: something's happening over here. Yeah, exactly. I think they thought

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Speaker 1: I was Zach Brown. Maybe I don't really know who

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Speaker 1: they thought it was. It'd be fun to do, uh,

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Speaker 1: just to stage one of those and take a completely

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Speaker 1: unknown person a few people act blowing away that they

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Speaker 1: saw them, and then see if it's contagious. It will

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Speaker 1: work guarantee. When I was in school, um, these I

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Speaker 1: knew these two painters and they did this little series

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Speaker 1: they were doing where they would going to a restaurant

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Speaker 1: did they just did like a social experience where they'd

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Speaker 1: film it to make these funny videos about they'd go

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Speaker 1: in to a restaurant and they'd have someone leave all

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Speaker 1: their stuff out and have their food and they'd have

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Speaker 1: to go to the bathroom. So they'd say to the

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Speaker 1: person at the next table, Hey, do you mind watching

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Speaker 1: my stuff? I can run in the bathroom and people are,

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Speaker 1: you know, but then the other one of them would

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Speaker 1: come in and start eating the food, and they would

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Speaker 1: watch to see the person who had agreed to watch

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Speaker 1: the stuff. How the person would respond to someone like

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Speaker 1: very sneakily sitting down and trying to quickly like eat

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Speaker 1: their food. And most people wouldn't confront them, really know,

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Speaker 1: they'd look and that's terrible. Yeah, they wouldn't. They wouldn't

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Speaker 1: do anything. So they had agreed to do it, but

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Speaker 1: they bail. They would bail. But some people would say

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Speaker 1: something once they start eating, it's too late. So you

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Speaker 1: just kind of like they look like, you know, just confused.

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Speaker 1: I can imagine that there'd be people people aren't that,

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Speaker 1: you know, they don't observe things that well. They might

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Speaker 1: even think that was the person who went to the bathroom. Yeah,

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Speaker 1: it's just like because it's like a thing you just

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Speaker 1: say to people like in the airport, or you might

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Speaker 1: watch my someone It's like, I don't know, I don't

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Speaker 1: think watching their stuff. I'm fairly certain that the security

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Speaker 1: video now tells you to immediately tell someone if someone

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Speaker 1: asks you to watch their bag. What you do is

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Speaker 1: watch this bag and take it on the plane with you.

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Speaker 1: Would you just watch this briefcase of mind and if

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Speaker 1: it shakes, it's fine. I miss uh that genre of

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Speaker 1: TV hidden camera. I feel like in other countries it's

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Speaker 1: still like a thing, but for some reason in our

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Speaker 1: country we were just like we left it behind. No

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Speaker 1: I think like no, I think it's thriving really, like

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Speaker 1: the whole punked thing and all that was the whole thing,

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Speaker 1: Like who's the guy that's got the who's the nighttime

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Speaker 1: guy that's got the cute little haircut? All of them,

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Speaker 1: James Cord, Jimmy, Yeah, they're big Franks, but Conan hasn't

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Speaker 1: done nighttime TV, and it thought he's got like a

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Speaker 1: lately he's they're big in before you real quick. Uh,

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Speaker 1: we'll get back some of the stuff and that we

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Speaker 1: gotta cover off on a couple of things. So a

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Speaker 1: little bit of news about macro fructations there. It is

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Speaker 1: so I had I was using the word the other

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Speaker 1: day that that um was so off so not a

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Speaker 1: word that it yielded zero Google reasonlds like there's no

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Speaker 1: spencer said you can bang your keyboard and get hits

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Speaker 1: nearly and certain like bang your keyboard and search that

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Speaker 1: it'll something macro froctation zero hits. Well, so many people

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Speaker 1: went to look up macro froctation after the episode came

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Speaker 1: out that now Google will auto phil macro froctation to

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Speaker 1: the real word. No, there is nothing. But then some

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Speaker 1: guy I said, I wanted to get the domain name.

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Speaker 1: Some guy went and got the damn domain name right

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Speaker 1: out from under me by Wednesday. On Wednesday, the episode

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Speaker 1: came out on Monday. By Wednesday, someone had secured the

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Speaker 1: domain that just goes to the episode. You're gonna be

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Speaker 1: stuck with macro froctation exactly. How would we have? Yeah,

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Speaker 1: so I gotta get like the macro function dot com.

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Speaker 1: I think he's probably gonna try to hold his ransom

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Speaker 1: to get the damn u r l uh. We got

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Speaker 1: some shirts. We got some macro froctation shirts coming out.

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Speaker 1: But I want to point out I did the other day.

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Speaker 1: I was like, man, we need to do limited on

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Speaker 1: a macro fructation shirts. I was a syllable off, Yeah,

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Speaker 1: macro what's the actual word macro fructification. Syllable off Ridiculed

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Speaker 1: by my colleagues. I lost some faith in Google after this,

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Speaker 1: that they couldn't figure out that's what you were looking for.

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Speaker 1: Fructification means that the act of fructify, fructifying, the act

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Speaker 1: to fructifying, or so this is this is this is it.

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Speaker 1: Fructification means the act of fructifying or the fruiting of

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Speaker 1: a plant, fungus, etcetera. A macro fructification is a large

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Speaker 1: or macro fun guy fruiting. But this is only for mushrooms.

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Speaker 1: It's not like a fruit tree. I don't see why

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Speaker 1: you wouldn't be able to call an apple a macro fructification,

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Speaker 1: which I might start a macto macro fructication or whatever

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Speaker 1: dictation fructation. Yeah, I don't know how many people throw

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Speaker 1: this word around. I can't. I don't think I can

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Speaker 1: even say I could try it out. Macro macro fructification exactly.

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Speaker 1: That's a mushroom. So the underground body of a mushroom,

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Speaker 1: the mycelium. Something triggers it, like burns. Burns like burns

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Speaker 1: make morrel. Burns make morrel my celium go crazy. It

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Speaker 1: somehow triggers it and it throws off what I call

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Speaker 1: massive macgirl fructations shortened from fract You know I'm talking

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Speaker 1: about fructo paganins. Well, I guess Spencer. Now we can

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Speaker 1: just start adding that word into all of our morell

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Speaker 1: articles to hit perfect. Now, the moral of the story

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Speaker 1: is the only hit. If I'm wrong, well, that's gonna

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Speaker 1: be extra lame. The moral of the story, good Man's

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Speaker 1: on it. He came up with can we use that?

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Speaker 1: Is that the title of the actual article? Now it's

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Speaker 1: the title of this episode, the macro froctation. Uh, God

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Speaker 1: feels good. Like he's like a jingle guy. I feel

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Speaker 1: like you missed your calling as like a jingle man. Well,

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Speaker 1: I'm I'm starting. I'm using this as a launchpad to that.

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Speaker 1: The morale to the story, does it does hit your

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Speaker 1: all of a sudden. I can't help it, Steve. It's

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Speaker 1: gotta be a deodorant company out there that needs your help. Yeah,

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Speaker 1: he works in like sub He works at a sub

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Speaker 1: sentence level. That's true. Just like he doesn't have good sentences.

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Speaker 1: He just says good like good like um partial sentences

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Speaker 1: whatever you call little micro snippets. Yeah, he's a jingle man. Yeah,

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Speaker 1: it's perfect. The morale of the story is even when

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Speaker 1: I'm wrong, long, I'm only a little wrong. That's the uh,

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Speaker 1: i'mgoing debate about whether or not naming your kid hunter

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Speaker 1: would backfire on you. Um, and that you know there's

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Speaker 1: people wrote in a while ago. UH on the episode

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Speaker 1: called Controlled Rock with Brad Leone, we some people wrote

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Speaker 1: in where a guy wanted name his god dude's last

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Speaker 1: name is Fisher. We talked about this. He wants the

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Speaker 1: name is kid Hunter, so his kid's name is Hunter Fisher.

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Speaker 1: His wife's like, doesn't want to do it, but she

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Speaker 1: said if if me or John, He said it was

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Speaker 1: a good idea that he could do it. Everybody said

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Speaker 1: bad idea. I said, good idea. What do you think

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Speaker 1: about that? Johanni Hunter Fisher. Travis was almost named Hunter

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Speaker 1: and his dad was like, well, what if he really

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Speaker 1: likes hunting, then he's he isn't it? So what's his

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Speaker 1: middle name? His middle name in nas Hunter. But as okay,

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Speaker 1: so you took his name. It did. That's a nice gesture.

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Speaker 1: I just talked to my boy. UM tell her how

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Speaker 1: nice it was. I'm not that. Yeah, she kind of

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Speaker 1: screwed me on that whole deal. She said she'd do

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Speaker 1: it when her passport expired, but she didn't want to

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Speaker 1: get a new passport. She didn't want to get all

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Speaker 1: the paperwork, so she's like, well, yeah, She's like, if

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Speaker 1: my passport or my driver's ices expires, I'll just change

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Speaker 1: with them. But why do it now? Like my subway card?

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Speaker 1: I still you know, I can't. I don't want to

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Speaker 1: change it before I get that. So now it's just

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Speaker 1: she just never did it. Today's our thirteenth anniversary. Shorter

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Speaker 1: amount of time you're gonna want to still hasn't change

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Speaker 1: your damn name. Um. Anyways, there's a guy. We heard

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Speaker 1: about this guy before. There's a game warden. Where is

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Speaker 1: he located? Indiana? He's the District one Indiana Conservation Offics. No,

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Speaker 1: he won. He was just recently honored with the District

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Speaker 1: one Indiana Conservation Officer of the Year award, which puts

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Speaker 1: him in running for the Pitzer Award, which is presented

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Speaker 1: to the top overall conservation officer in Indiana and is

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Speaker 1: selected from among the ten district award winners. This guy

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Speaker 1: is in the big leagues. His name Hunter Law, Hunter Law.

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Speaker 1: I used to work for a guy whose last name

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Speaker 1: was mc cook, Chef McCook. Do you think McDonald's hunted

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Speaker 1: that dude down? And hunt that dude down and brought

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Speaker 1: him up board man, Like, what's gonna cost? Yeah, hunter law,

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Speaker 1: I thought, so you don't think he should name it

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Speaker 1: Joe or no? My idea, someone's idea was the name

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Speaker 1: of Joe, middle name Hunter, last name Fisher because like,

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Speaker 1: that dude is Joe Hunter Fishery. Honest, how often do

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Speaker 1: you bring it up that your wife didn't change her

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Speaker 1: last name? Never? Never interesting? How many usually be married?

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Speaker 1: Almost twenty no sign of turned to the tide on

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Speaker 1: that one. Twenty years in, she's like John dies and

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Speaker 1: she changes it? Uh no, it never came up. Did

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Speaker 1: your gal take your name? Mind what? My wife didn't either?

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Speaker 1: The only one my my wife did. But I specifically

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Speaker 1: told her she didn't have to. She still I don't know.

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Speaker 1: I don't know why. I didn't know I even had

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Speaker 1: the option. Next you told her she didn't have to. Well,

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Speaker 1: I mean it's her choice anyway. That I was like,

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Speaker 1: I'm not going to be offended if you don't take

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Speaker 1: my last name. But yeah, my wife's got a solid

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Speaker 1: last name. It's a great last name, and it's dying

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Speaker 1: off Um what leave's like like I shouldn't say that,

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Speaker 1: like her never mind, it's not dying off. There's playing

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Speaker 1: people with that last name. But her sort of her line, Yeah, yeah,

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Speaker 1: her end of the deal. Um the hell were we? Well,

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Speaker 1: we talked to we had we had a guest on

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Speaker 1: who had gotten toxoplasmosis from eating raw goat meat feral goats.

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Speaker 1: So they both hunt goats in Hawaii ate the raw

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Speaker 1: goatmeat got toxo plasmosis, and that propited a bunch of

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Speaker 1: people right in who got the tocks from raw white

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Speaker 1: tail meat, meaning that that deer was grazing around. And

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Speaker 1: eight some catship and its wanderings. It's like the house

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Speaker 1: feral cat. I'm assuming Bob cats cats, so bobcat whatever,

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Speaker 1: house cat. Yeah, multiple people and and a commonality and

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Speaker 1: they talked about is the early symptom being um spots

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Speaker 1: in your vision? Do you go blind? I haven't heard

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Speaker 1: anybody went blind. It's treatable. They were somebody in the

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Speaker 1: Instagram comments of the episode saying that they got it

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Speaker 1: and you can no longer see out of one eye

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Speaker 1: and they had to relearn to shoot their rifle from

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Speaker 1: the other eye because of it. They're still hunting deer, obviously,

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Speaker 1: I think. So right there, cooking it so it was

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Speaker 1: no more rare. My dad called me about this like

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Speaker 1: a couple of years ago, because it was our tradition

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Speaker 1: as a kid. Is that anytime you would when you

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Speaker 1: killed a deer, like we would cut the heart out

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Speaker 1: and eat it raw in the field. Like that was

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Speaker 1: my family's sort of like honor the animal kind of tradition.

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Speaker 1: Did it for years? Did it my whole lifle thing? Yeah,

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Speaker 1: my dad talked about that too. They eat like an apple,

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Speaker 1: yeah exactly. Yeah, Like you just take your pocket knife

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Speaker 1: and slice pieces of it off and eat it in

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Speaker 1: the field like while you're you know, no wrensing, nothing,

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Speaker 1: just still hot. My old man went hunt with a

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Speaker 1: guy and my dad described his head. He'd eat like

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Speaker 1: he's eating huh. Yeah. So I've done it, I don't know,

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Speaker 1: a hundred times in my life. And my dad called

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Speaker 1: me out of the blue. He left a message. By

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Speaker 1: the way, my dad still likes to tell me who

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Speaker 1: is on the messages, and he's like, Kevin, it's your daddy,

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Speaker 1: and I'm like, yeah, I know who this like. But

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Speaker 1: he's like it told me about this, and he's like,

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Speaker 1: you gotta started, you gotta stop eating him hearts like

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Speaker 1: that because you're gonna get this. So I haven't yet.

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Speaker 1: By the way, I also I haven't stopped doing that,

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Speaker 1: so maybe I should. I don't know. I eat like

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Speaker 1: a smidgeraw dear me, I can't picture quitting, but I'll

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Speaker 1: let you guys know if it gets spotty soon. So

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Speaker 1: quick note on docks. After we talked about menal Mrs

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Speaker 1: Angelo on the lake where I grew up and how

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Speaker 1: she would't let you go out on her dock hollyway

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Speaker 1: every time you went near your place. Um, we got

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Speaker 1: a couple of notes some people uh having weird stuff

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Speaker 1: happened to him near docks. So a kayaker came out.

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Speaker 1: What lake was this on? Oh, Vancouver Island. His friend

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Speaker 1: lives in a small town on the island and has

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Speaker 1: a dock. Okay, so this dude writes in This dude's

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Speaker 1: friend has a dock on an island, and this guy

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Speaker 1: has a problem with otters getting up on his dock,

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Speaker 1: which I don't view. It's hard to me to view

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Speaker 1: that as a problem. Yeah, it's like an Instagram moment,

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00:24:05,720 --> 00:24:07,560
Speaker 1: like waiting for you right there, you know. Yeah, if

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Speaker 1: someone said to me, like you could have a dock. Yeah,

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Speaker 1: and otters use it or not. I would go like,

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Speaker 1: I'll take the doctor the otters. Yeah, because I think

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00:24:15,800 --> 00:24:19,080
Speaker 1: it's the mess that comes along with the otters. You've

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Speaker 1: been You've been on our float in Salteast, Alaska's covered

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Speaker 1: with fish carcasses from otters and otter poop, otter poop.

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Speaker 1: But still I don't know for the fact that you

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Speaker 1: have otters on your dock and you get to be like,

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Speaker 1: look at those otters, I would probably feed. Well, that's

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Speaker 1: probably wrong, isn't it to be out there feeding them?

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Speaker 1: They got a poop. It's like their poop is scales.

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Speaker 1: It's like a pack of it's like compacted scales and bones.

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Speaker 1: I don't know either way. He rigged it up so

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Speaker 1: it shocks the otters. He rigged it up, so yeah,

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00:24:51,040 --> 00:24:53,280
Speaker 1: it gives the otters an electrical shock when they clamb

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Speaker 1: on there. Anyhow, on the other day, you were saying,

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Speaker 1: how like there aren't that main people you'll find that

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Speaker 1: are actually like, you know what, I hate nature. This

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Speaker 1: might be one of those people. Could be Um, a

420
00:25:04,600 --> 00:25:07,280
Speaker 1: kayaker combs long, grabs hold of the dock, get shocked,

421
00:25:07,359 --> 00:25:13,840
Speaker 1: cops get involved. Uh. Another guy was talking about pulling

422
00:25:13,920 --> 00:25:17,159
Speaker 1: up to fish fishing and pulling up to dock and

423
00:25:17,200 --> 00:25:20,879
Speaker 1: got sprayed by water. Matt Elliott rohad. He goes, that's

424
00:25:20,880 --> 00:25:23,040
Speaker 1: a very common thing now. People that don't like ducks

425
00:25:23,040 --> 00:25:25,520
Speaker 1: and geese on their docks, so when the ducks are

426
00:25:25,560 --> 00:25:27,640
Speaker 1: geese pull up and sprays you with water. This guy

427
00:25:27,680 --> 00:25:31,320
Speaker 1: took it to be an anti fishing thing, but it's

428
00:25:31,600 --> 00:25:35,000
Speaker 1: not an anti fishing thing. It's like a duck goose

429
00:25:35,080 --> 00:25:39,280
Speaker 1: prevention system. I would see if I was gonna electric

430
00:25:39,320 --> 00:25:41,200
Speaker 1: keep my dock or at least put up a little

431
00:25:41,240 --> 00:25:45,119
Speaker 1: sign said morning. If I was filled, I'd say, like

432
00:25:45,160 --> 00:25:54,440
Speaker 1: a hot doc. No, I never said that. Yeah, that's terrifying. Dade,

433
00:25:55,160 --> 00:25:58,880
Speaker 1: my wife, her best friend drowned because of that. Like

434
00:25:59,240 --> 00:26:02,159
Speaker 1: she was. They were like just laying out, I think,

435
00:26:02,200 --> 00:26:04,520
Speaker 1: you know, like tanning on a dock, got super hot,

436
00:26:04,560 --> 00:26:06,919
Speaker 1: hopped in the water, went to climb back up on

437
00:26:06,920 --> 00:26:09,000
Speaker 1: the dock. Didn't know that that person had done that

438
00:26:09,040 --> 00:26:10,720
Speaker 1: to their to their it was like a rental house.

439
00:26:11,280 --> 00:26:15,480
Speaker 1: Touch the dock from the water, electrocuted him. Yeah, for sure,

440
00:26:15,560 --> 00:26:17,480
Speaker 1: like two people died. It was in I think it

441
00:26:17,560 --> 00:26:20,760
Speaker 1: was Lake Russell in Alabama a few years back. Like

442
00:26:20,800 --> 00:26:22,719
Speaker 1: a big deal. So now the state of Alabama has

443
00:26:22,760 --> 00:26:25,119
Speaker 1: like banned it, like you cannot. You can't even if

444
00:26:25,119 --> 00:26:26,639
Speaker 1: you want to run power to your dock, like for

445
00:26:26,680 --> 00:26:31,000
Speaker 1: your boat, it has to there's you know, laws about Yeah, exactly,

446
00:26:31,160 --> 00:26:35,679
Speaker 1: because people just like just do it themselves. Um. I

447
00:26:35,720 --> 00:26:37,760
Speaker 1: want to back up talk about Hunter. Do you know

448
00:26:37,880 --> 00:26:41,760
Speaker 1: that our new I was gonna say that I'm redoing

449
00:26:41,760 --> 00:26:44,800
Speaker 1: my whole perspective on Hunter because our new like resident artist.

450
00:26:45,480 --> 00:26:52,040
Speaker 1: Oh yeah, well the left up old deer Stands project

451
00:26:52,920 --> 00:26:56,880
Speaker 1: onbelievable job that guy did on that This is gonna

452
00:26:56,920 --> 00:26:58,960
Speaker 1: be the number one calendar of all time. It was

453
00:26:59,119 --> 00:27:00,520
Speaker 1: both of you, a fine art call off the cable

454
00:27:00,520 --> 00:27:08,400
Speaker 1: book Listen. I'm waging an internal war in this company. Uh.

455
00:27:08,640 --> 00:27:18,280
Speaker 1: I have battled with the detractors. I've battled the naysayers. Um,

456
00:27:18,320 --> 00:27:22,439
Speaker 1: I'm coming into it injured but alive. The funked up

457
00:27:22,480 --> 00:27:27,000
Speaker 1: old deer Stands calendar. Yeah, is Conter Spencer? Yeah? Please

458
00:27:27,040 --> 00:27:30,440
Speaker 1: tell me what's this job called? Like? What would he say?

459
00:27:30,480 --> 00:27:34,359
Speaker 1: He is graphic designer? No, because we have a graphic

460
00:27:34,359 --> 00:27:38,480
Speaker 1: design opening that he's better than at. Yeah, probably like

461
00:27:38,840 --> 00:27:41,280
Speaker 1: art lead of art or something like that, director of

462
00:27:41,400 --> 00:27:44,560
Speaker 1: art director of art director. There you go. Now that

463
00:27:44,600 --> 00:27:47,520
Speaker 1: has a bad connotation too. That's a marketing term ship

464
00:27:47,640 --> 00:27:53,840
Speaker 1: all right, but where the hell is the term for that?

465
00:27:54,920 --> 00:28:00,360
Speaker 1: Just to realize what feels all about that un when

466
00:28:00,359 --> 00:28:02,719
Speaker 1: it's useful, like we actually need a thing now and

467
00:28:02,720 --> 00:28:06,680
Speaker 1: he just ordered he's not zinging, he's not co it

468
00:28:06,760 --> 00:28:09,280
Speaker 1: us with the useful zingers that are just throwaways zingers.

469
00:28:09,280 --> 00:28:11,119
Speaker 1: This is so much pressure. I'm gonna change the subject

470
00:28:11,160 --> 00:28:13,840
Speaker 1: and say I'm on your side, Steve with this internal battle.

471
00:28:13,960 --> 00:28:16,000
Speaker 1: I think I think it should still be a book

472
00:28:16,760 --> 00:28:18,520
Speaker 1: were we have ruled it out, and I'm gonna go

473
00:28:18,560 --> 00:28:20,640
Speaker 1: to Tracy and I'm gonna have it be a whole

474
00:28:20,640 --> 00:28:24,520
Speaker 1: billboard campaign around the country along highways. I think that's

475
00:28:24,520 --> 00:28:26,879
Speaker 1: where this is headed. Apparently one of my buddies from

476
00:28:26,960 --> 00:28:29,320
Speaker 1: high school, since he knows now that I'm working with

477
00:28:29,359 --> 00:28:31,880
Speaker 1: you guys, he texted me out of the blue one

478
00:28:31,960 --> 00:28:33,399
Speaker 1: for submission the other day and I was like, I

479
00:28:33,400 --> 00:28:35,320
Speaker 1: don't think you sent him to me to send him

480
00:28:35,359 --> 00:28:39,320
Speaker 1: to But he apparently saw somebody pulling an old food

481
00:28:39,360 --> 00:28:41,280
Speaker 1: truck down the road the other day that they had

482
00:28:41,360 --> 00:28:43,440
Speaker 1: camo painted, and like, you know the door that you

483
00:28:43,440 --> 00:28:45,280
Speaker 1: would serve hot dogs out of was like their flip

484
00:28:45,320 --> 00:28:49,480
Speaker 1: up door. Hey, what is the email where you're supposed

485
00:28:49,520 --> 00:28:53,720
Speaker 1: to send your submissions? You know it's not my text

486
00:28:53,800 --> 00:28:55,880
Speaker 1: message chain, Like, that's not how you send him in.

487
00:28:56,280 --> 00:29:03,160
Speaker 1: It's literally fucked up. Old year stands at the meat Eaterkay,

488
00:29:03,800 --> 00:29:07,800
Speaker 1: share that over. I don't know where we're at now.

489
00:29:07,920 --> 00:29:12,680
Speaker 1: We've gotten four submissions. We picked our favorites. It's a

490
00:29:12,680 --> 00:29:14,960
Speaker 1: good blend, and you know a lot. Here's nothing about

491
00:29:14,960 --> 00:29:17,040
Speaker 1: this calendar people are going to appreciate. We've got so

492
00:29:17,080 --> 00:29:19,840
Speaker 1: many that only at the last minute. Dude, it occurred

493
00:29:19,840 --> 00:29:22,320
Speaker 1: to us that it could be seasonal. Like, let's say

494
00:29:22,360 --> 00:29:26,240
Speaker 1: you get like an elk calendar, So February, right, it's

495
00:29:26,240 --> 00:29:28,360
Speaker 1: gonna be some elk standing there and freezing ask cold,

496
00:29:28,400 --> 00:29:31,440
Speaker 1: you know what I mean? And like May is gonna

497
00:29:31,440 --> 00:29:35,520
Speaker 1: be an elk licking her little baby. You know, we

498
00:29:35,640 --> 00:29:38,200
Speaker 1: got so many submissions that the pictures look like the

499
00:29:38,240 --> 00:29:41,360
Speaker 1: time of year it's supposed to be. And when can

500
00:29:41,400 --> 00:29:44,000
Speaker 1: folks by this? I don't know telling you what though,

501
00:29:44,440 --> 00:29:47,320
Speaker 1: that dude Hunter, I think you should name your kids Hunter.

502
00:29:48,040 --> 00:29:53,640
Speaker 1: That guy but his um contribution to layout in design

503
00:29:54,120 --> 00:29:58,160
Speaker 1: m one stand per month, or is it gonna be

504
00:29:58,200 --> 00:30:01,280
Speaker 1: kind of like a collage of stands everyone understand a month?

505
00:30:01,800 --> 00:30:05,000
Speaker 1: Maybe the verticals. See when you get into calendar production,

506
00:30:05,200 --> 00:30:10,560
Speaker 1: here we go. I want to spare details. It is

507
00:30:10,600 --> 00:30:13,160
Speaker 1: the best count I think a lot of people are

508
00:30:13,160 --> 00:30:14,920
Speaker 1: going to buy it, and then every year they're gonna

509
00:30:14,920 --> 00:30:18,120
Speaker 1: go in and like take new things on it and stuff.

510
00:30:19,240 --> 00:30:21,240
Speaker 1: I mean, you have enough to do multiple years of

511
00:30:21,280 --> 00:30:23,640
Speaker 1: calendars at this point. It sounds like many submissions. We

512
00:30:23,720 --> 00:30:27,400
Speaker 1: got one of a blind like someone's combine broke down

513
00:30:27,400 --> 00:30:29,400
Speaker 1: and then rotted away for a century, and then they

514
00:30:29,440 --> 00:30:34,680
Speaker 1: like converted it into this like that's cover image. But

515
00:30:34,760 --> 00:30:39,560
Speaker 1: this is a calendar. We're not talking right. No, man,

516
00:30:39,680 --> 00:30:43,480
Speaker 1: you'll buy it starting very soon to run it all

517
00:30:43,520 --> 00:30:46,160
Speaker 1: through the next year. Alright. I want to ask one

518
00:30:46,200 --> 00:30:53,200
Speaker 1: practical question. Do people still buy physical calendars? Okay? Don't

519
00:30:53,320 --> 00:30:57,120
Speaker 1: people still buy multiple calendars if they don't be out

520
00:30:57,120 --> 00:31:00,440
Speaker 1: of job? Right? Okay, listen, when this thing thems out,

521
00:31:00,880 --> 00:31:06,000
Speaker 1: I need I don't care if you burn it. I

522
00:31:06,080 --> 00:31:10,560
Speaker 1: need people to come out very very strong because I

523
00:31:10,600 --> 00:31:14,920
Speaker 1: have battled the naysayers, I've battled the Debbie downers. This

524
00:31:14,960 --> 00:31:17,400
Speaker 1: is the perfect thing to put in your office when

525
00:31:17,440 --> 00:31:20,520
Speaker 1: you don't know what to hang in your office, that's

526
00:31:20,560 --> 00:31:27,440
Speaker 1: the calendar. Keep going, sell I asked the same question Kevin.

527
00:31:27,480 --> 00:31:30,520
Speaker 1: I said, aren't calendars maybe kind of a little bit

528
00:31:30,800 --> 00:31:37,920
Speaker 1: free nowntiquated? And then Rodie Henderson says, hell no, if

529
00:31:37,920 --> 00:31:42,200
Speaker 1: you got kids, you should calendar every time. I don't

530
00:31:42,240 --> 00:31:45,360
Speaker 1: have kids, So maybe that's the issue. If this, If

531
00:31:45,400 --> 00:31:48,040
Speaker 1: I can sell this calendar like hot cakes, you know,

532
00:31:48,320 --> 00:31:51,440
Speaker 1: I don't know if Yeah, we're back now to another

533
00:31:51,520 --> 00:31:53,840
Speaker 1: question about the volume of hot cakes salt. So if

534
00:31:53,880 --> 00:31:58,160
Speaker 1: I can sell this calendar like the Dickens, then that

535
00:31:58,240 --> 00:32:00,840
Speaker 1: pays the way for the fine arts coffee table book.

536
00:32:03,320 --> 00:32:09,880
Speaker 1: People really need to help. No, no, it'll be just

537
00:32:09,920 --> 00:32:13,720
Speaker 1: deer stands, the whole coffee. Come on, Daniel, people will

538
00:32:13,760 --> 00:32:16,320
Speaker 1: buy a calendar anothering, but pictures deer Why not the

539
00:32:16,320 --> 00:32:18,640
Speaker 1: deer stands. I just think you could branch out the

540
00:32:18,680 --> 00:32:25,680
Speaker 1: book and make it a little bit more comprehensive. Well

541
00:32:26,120 --> 00:32:31,680
Speaker 1: that was quick. Maybe the next one. Okay. I think

542
00:32:31,720 --> 00:32:35,440
Speaker 1: the other valuable information that will be included in there,

543
00:32:35,720 --> 00:32:39,720
Speaker 1: other than dates, such as interesting fun dates that will

544
00:32:40,000 --> 00:32:43,080
Speaker 1: give you entertainment and joy, will be worth it. Maybe

545
00:32:43,120 --> 00:32:46,560
Speaker 1: some some poetry, maybe I don't look at everything we

546
00:32:46,680 --> 00:32:50,320
Speaker 1: wrote all the captions. Okay, like we got this one.

547
00:32:50,720 --> 00:32:55,280
Speaker 1: It's a deer stand that honestly, that's an elevated blind. Okay,

548
00:32:56,040 --> 00:32:58,080
Speaker 1: and blow it. They have it like there's a toilet

549
00:32:58,160 --> 00:33:01,680
Speaker 1: rigged up below the blind. That seems excellent. Yeah, but

550
00:33:01,720 --> 00:33:06,400
Speaker 1: you'd have to like you got a precision, So so

551
00:33:06,480 --> 00:33:08,560
Speaker 1: the captions out or whatever. It's something like you know,

552
00:33:08,800 --> 00:33:11,120
Speaker 1: like sharp shooting it. You know you're gonna ain't the

553
00:33:11,160 --> 00:33:12,960
Speaker 1: only thing you need to aim out of this black whatever?

554
00:33:14,840 --> 00:33:16,640
Speaker 1: I remember what it was. Do you not want to

555
00:33:16,680 --> 00:33:23,000
Speaker 1: reveal it? If someone doesn't bikes, they already know, okay, yeah,

556
00:33:23,040 --> 00:33:25,520
Speaker 1: you could be casting to be sales and all right,

557
00:33:26,160 --> 00:33:28,280
Speaker 1: they don't do a spoiler. That's the guy who tries

558
00:33:28,280 --> 00:33:29,959
Speaker 1: to get every author to reveal the ending of their

559
00:33:29,960 --> 00:33:36,080
Speaker 1: buck on the podcast. That's what happens in the end. Alright,

560
00:33:36,120 --> 00:33:38,600
Speaker 1: Spencer talk about the flying Garrett. Oh, then we gotta

561
00:33:38,600 --> 00:33:40,440
Speaker 1: get into buying in the muscle meeting all that kind

562
00:33:40,440 --> 00:33:45,160
Speaker 1: of thing. Um Like like a month ago you texted

563
00:33:45,200 --> 00:33:48,120
Speaker 1: me on like a Saturday afternoon. We're like, hey, has

564
00:33:48,160 --> 00:33:50,959
Speaker 1: anyone ever died from eating a fly? Garrick? Why did

565
00:33:51,040 --> 00:34:00,200
Speaker 1: you want to know that because I was, Um, because

566
00:34:00,200 --> 00:34:03,840
Speaker 1: we're writing this book about kids in the outdoors. Okay,

567
00:34:04,160 --> 00:34:06,240
Speaker 1: this first time you're revealing this. So I've talked about

568
00:34:06,280 --> 00:34:10,360
Speaker 1: it at times Outdoor Kids, Inside World. It's about engaging

569
00:34:10,400 --> 00:34:13,920
Speaker 1: kids with nature. Um. And we have a big thing

570
00:34:13,920 --> 00:34:16,239
Speaker 1: in there about there's quite a bit of information there

571
00:34:16,239 --> 00:34:19,800
Speaker 1: about like things I've done with my kids around picking

572
00:34:20,520 --> 00:34:28,120
Speaker 1: mushrooms and uh, we one time found, i mean growing

573
00:34:28,160 --> 00:34:31,920
Speaker 1: a hundred yards from our house. I found a fly

574
00:34:32,000 --> 00:34:36,000
Speaker 1: of garrick and they wanted to bring it home and

575
00:34:36,040 --> 00:34:37,920
Speaker 1: mass with it and all that. And I was just

576
00:34:37,920 --> 00:34:40,120
Speaker 1: looking at like, well, how bad is a fly of garrick?

577
00:34:42,000 --> 00:34:44,520
Speaker 1: And I was surprised to see that it's that despite

578
00:34:44,560 --> 00:34:46,760
Speaker 1: people thinking it's like the most dangerous mushroom in the world,

579
00:34:47,080 --> 00:34:51,200
Speaker 1: it's not that dangerous, right, I was reading, like my

580
00:34:51,320 --> 00:34:54,680
Speaker 1: colleges can actually find like one case when someone got

581
00:34:54,760 --> 00:34:57,080
Speaker 1: killed from a fly of garrick. Yeah, most people just

582
00:34:57,120 --> 00:35:00,320
Speaker 1: tripp real bad, like not in a pleasant way. And

583
00:35:00,400 --> 00:35:02,040
Speaker 1: if you don't know what a fly garrick is, if

584
00:35:02,280 --> 00:35:04,520
Speaker 1: we walked over the coffee shop and we asked somebody

585
00:35:04,520 --> 00:35:07,120
Speaker 1: standing online, We're like, hey, draw mushroom. They would draw

586
00:35:07,200 --> 00:35:10,640
Speaker 1: a fly garrick, especially they watched the Smurfs, yeah, or

587
00:35:10,680 --> 00:35:15,600
Speaker 1: anything like, Yeah, it looks like your your generic stereotypical

588
00:35:15,640 --> 00:35:19,080
Speaker 1: like fantasy gnome forest mushroom. Like if you picture like

589
00:35:19,120 --> 00:35:23,399
Speaker 1: a gnome coming out of the woods with a mushroom,

590
00:35:23,480 --> 00:35:26,319
Speaker 1: it's a fly Garret. Who I smell a T shirt? Yeah,

591
00:35:26,360 --> 00:35:30,080
Speaker 1: that's yeah exactly, that's um, that's the gnome on the

592
00:35:30,200 --> 00:35:36,919
Speaker 1: range spice blend um, that's the mushroom. Yeah. Yeah, that'd

593
00:35:36,960 --> 00:35:39,440
Speaker 1: be good T shirt macro fructification. It just has a

594
00:35:39,440 --> 00:35:42,799
Speaker 1: big fly garrick on it. Yeah, I'd wear that. I

595
00:35:42,800 --> 00:35:47,960
Speaker 1: think you'd shortened the word down from save I'm printing costs. Yeah,

596
00:35:48,680 --> 00:35:51,879
Speaker 1: there you go. Yeah, Like if you played Mario when

597
00:35:51,880 --> 00:35:54,279
Speaker 1: Mario eats a mushroom and like get special powers, that's

598
00:35:54,280 --> 00:35:56,800
Speaker 1: a fly garrick. So they're all over. Everyone knows what

599
00:35:56,920 --> 00:36:01,200
Speaker 1: to fly Garrett. That's right, like the Mario brother one. Mhm,

600
00:36:01,360 --> 00:36:05,640
Speaker 1: nop okay, So that's a fly garrick. Anyway, I found

601
00:36:05,719 --> 00:36:08,040
Speaker 1: the instance where somebody died from one, and it was

602
00:36:08,120 --> 00:36:12,000
Speaker 1: like a very big deal when it happened. It was

603
00:36:12,040 --> 00:36:14,200
Speaker 1: in eighteen ninety seven. It was in Washington, d C.

604
00:36:14,560 --> 00:36:17,920
Speaker 1: It was eight when you emailed me about this, you

605
00:36:18,000 --> 00:36:20,480
Speaker 1: switched the numbers around. I did. I had in my

606
00:36:20,480 --> 00:36:29,279
Speaker 1: head back like an Italian diplomat died. Yes. I was like,

607
00:36:29,400 --> 00:36:30,920
Speaker 1: I feel like I would have heard about that, but

608
00:36:30,960 --> 00:36:37,600
Speaker 1: I wasn't that old. Eight seven Washington, d C. County,

609
00:36:38,040 --> 00:36:40,959
Speaker 1: count Achilles, because I was like in nineteen eight seven,

610
00:36:41,000 --> 00:36:43,200
Speaker 1: I was like, I can't picture like an Italian diplomat

611
00:36:43,520 --> 00:36:48,520
Speaker 1: walking down to whatever the hell the sidewalk, and yeah,

612
00:36:51,120 --> 00:36:52,960
Speaker 1: this story will make a little bit more sense then

613
00:36:53,480 --> 00:36:57,640
Speaker 1: I'm not. I'm back in a place in time. Washington,

614
00:36:57,760 --> 00:37:01,439
Speaker 1: D C. Eighteen ninety seven, Count Achilles. Day. I don't

615
00:37:01,440 --> 00:37:02,879
Speaker 1: know how to say his last name, Go for it,

616
00:37:03,600 --> 00:37:08,279
Speaker 1: Vitig think that we're just gonna call him the Count.

617
00:37:09,880 --> 00:37:12,840
Speaker 1: He was an Italian diplomat and he was fairly famous

618
00:37:13,160 --> 00:37:16,040
Speaker 1: Washington D C. Resident. He uh was sort of in

619
00:37:16,080 --> 00:37:18,960
Speaker 1: like a Lincoln's camp when when he came over, so

620
00:37:19,040 --> 00:37:26,840
Speaker 1: he was prior to death. He considered himself a mushroom expert.

621
00:37:26,880 --> 00:37:31,720
Speaker 1: You know he died Lincoln. Oh yeah, not the mushrooms

622
00:37:32,160 --> 00:37:36,160
Speaker 1: counted killer. He considered himself a mushroom expert. Bought some

623
00:37:36,239 --> 00:37:39,400
Speaker 1: wild mushrooms from the k Street market in Washington, d C.

624
00:37:40,320 --> 00:37:44,520
Speaker 1: And identified them as the Caesar's mushroom, which is a

625
00:37:44,600 --> 00:37:48,279
Speaker 1: choice edible in Europe. Mhm. But it's in the am

626
00:37:48,280 --> 00:37:50,760
Speaker 1: and Eta family. And if you know anything about mushrooms,

627
00:37:50,800 --> 00:37:53,280
Speaker 1: you know that there is a lot of bad stuff

628
00:37:53,560 --> 00:37:56,520
Speaker 1: or non edible mushrooms in the am and A family.

629
00:37:56,920 --> 00:37:59,280
Speaker 1: So what he thought was a Caesar's mushroom was actually

630
00:37:59,320 --> 00:38:03,160
Speaker 1: a fly get the mushroom, but was peddling it, so

631
00:38:03,280 --> 00:38:07,680
Speaker 1: that guy misidentified it. Yes, but unless he was selling

632
00:38:07,680 --> 00:38:11,160
Speaker 1: it to kill flies, no people would us to kill.

633
00:38:13,680 --> 00:38:16,160
Speaker 1: So the Count bought this mushroom, took it home and

634
00:38:16,200 --> 00:38:18,759
Speaker 1: cooked it for him and a body buddy, Dr. Kelly

635
00:38:18,920 --> 00:38:20,560
Speaker 1: Is who ate the mushrooms with him. He made them

636
00:38:20,560 --> 00:38:23,080
Speaker 1: for breakfast, and they remarked afterwards that they were the

637
00:38:23,120 --> 00:38:25,879
Speaker 1: finest mushrooms they had ever eaten. They were that good.

638
00:38:26,320 --> 00:38:28,919
Speaker 1: M Now, I couldn't find how they cooked them, because

639
00:38:28,920 --> 00:38:30,440
Speaker 1: I was really curious, like if he just threw him

640
00:38:30,440 --> 00:38:32,799
Speaker 1: with some eggs or he must have gotten to his note,

641
00:38:32,840 --> 00:38:37,960
Speaker 1: butok pretty quick. Yeah, well they're a surviving member of

642
00:38:38,000 --> 00:38:42,040
Speaker 1: this story. Oh he remember, Okay, Okay, so he must

643
00:38:42,080 --> 00:38:44,080
Speaker 1: have eaten it, wrote down how good it was and

644
00:38:44,160 --> 00:38:47,560
Speaker 1: then died. So the Count and the doctor both ate

645
00:38:47,719 --> 00:38:52,120
Speaker 1: these fly Garrick mushrooms for breakfast. By the afternoon, Dr

646
00:38:52,280 --> 00:38:56,360
Speaker 1: Kelly was incoherent and stupefied. He was at work and

647
00:38:56,360 --> 00:38:58,279
Speaker 1: the people I worked with him said he was like

648
00:38:58,360 --> 00:39:01,120
Speaker 1: totally off. He was in and out of consciousness. They

649
00:39:01,120 --> 00:39:03,560
Speaker 1: took him to the hospital. He recovered by the next day.

650
00:39:03,680 --> 00:39:07,000
Speaker 1: It was like sort of your typical fly Garrick experience.

651
00:39:07,120 --> 00:39:09,680
Speaker 1: If you ate too much of wanting you you went

652
00:39:10,040 --> 00:39:14,040
Speaker 1: beyond the psychedelic trip, you would end up like Dr Kelly, right.

653
00:39:15,120 --> 00:39:18,160
Speaker 1: But the other person to Count Uh, fell violently ill.

654
00:39:18,160 --> 00:39:21,279
Speaker 1: He lost his vision. He went into a coma. At

655
00:39:21,280 --> 00:39:24,320
Speaker 1: the hospital, he had such bad convulsions that he broke

656
00:39:24,360 --> 00:39:28,400
Speaker 1: the bed that he was laying in. Yeah, and he

657
00:39:28,520 --> 00:39:33,200
Speaker 1: died the next day. And that is like the fly

658
00:39:33,400 --> 00:39:36,640
Speaker 1: Garrick death. Now here's why, like beyond him being an

659
00:39:36,640 --> 00:39:39,239
Speaker 1: Italian diplomat being like one of the only deaths why

660
00:39:39,280 --> 00:39:42,200
Speaker 1: this was a big deal. This inspired like a huge

661
00:39:42,239 --> 00:39:46,880
Speaker 1: amateur mycology boom. Up until that point, mushroom hunting was

662
00:39:46,920 --> 00:39:50,440
Speaker 1: sort of like for subsidence, like very rural folks did it,

663
00:39:50,680 --> 00:39:59,480
Speaker 1: or sustenance sustenance put that into Google, okay, or it

664
00:39:59,560 --> 00:40:02,920
Speaker 1: was like for the educated elite, it wasn't really a hobby.

665
00:40:03,719 --> 00:40:08,319
Speaker 1: But according to like folks from that time that the

666
00:40:08,360 --> 00:40:11,399
Speaker 1: middle class was growing and so was like sort of

667
00:40:11,800 --> 00:40:15,319
Speaker 1: recreation like baseball and cycling was taking off in the

668
00:40:15,360 --> 00:40:18,680
Speaker 1: country as well as gathering mushrooms. And when this happened,

669
00:40:18,680 --> 00:40:21,560
Speaker 1: when you had a famous person die from a fly garrick,

670
00:40:21,760 --> 00:40:24,879
Speaker 1: the U. S d A. Stepped in, um, a lot

671
00:40:24,920 --> 00:40:28,840
Speaker 1: of like vendors changed the mushrooms they were selling. This

672
00:40:28,920 --> 00:40:32,200
Speaker 1: particular vendor the K Street market. Afterwards they went to

673
00:40:32,280 --> 00:40:35,560
Speaker 1: only selling shaggy manes and puff balls because they didn't

674
00:40:35,600 --> 00:40:38,040
Speaker 1: want this like to happen again. Those are part of

675
00:40:38,080 --> 00:40:40,400
Speaker 1: the fool proof like some people list those in the

676
00:40:40,400 --> 00:40:43,920
Speaker 1: fool Proof for that's right. Yeah. Uh so this this

677
00:40:44,000 --> 00:40:48,840
Speaker 1: had a huge mycology boom afterwards, and the educated folks

678
00:40:48,840 --> 00:40:51,880
Speaker 1: that were really into mycology started creating all these pamphlets

679
00:40:51,880 --> 00:40:54,840
Speaker 1: and very visual aids to help you be a better

680
00:40:54,920 --> 00:41:02,200
Speaker 1: consumer of mushrooms. Huh yeah, I silver lining, that's right.

681
00:41:02,920 --> 00:41:06,560
Speaker 1: They distributed better materials um. Like I said, it changed

682
00:41:06,719 --> 00:41:09,799
Speaker 1: the mushrooms that were sold and and oddly the fly

683
00:41:09,920 --> 00:41:13,560
Speaker 1: Garrick like sort of gave me like a personal renaissance

684
00:41:13,640 --> 00:41:17,160
Speaker 1: with mushrooms. When we were at the Christmas party, or

685
00:41:17,400 --> 00:41:20,640
Speaker 1: before the Christmas party that we were at Danielle. We

686
00:41:20,680 --> 00:41:22,520
Speaker 1: went to this party talking about the one of my house.

687
00:41:23,640 --> 00:41:26,480
Speaker 1: The last time he came to the office, we went

688
00:41:26,520 --> 00:41:30,920
Speaker 1: to Cal's favorite dive bar in town. I think it

689
00:41:30,960 --> 00:41:34,439
Speaker 1: was the Hideaway. Is that right? We're at the Hideaway Bar?

690
00:41:34,680 --> 00:41:36,400
Speaker 1: And I went up to the bar in order to drink,

691
00:41:36,960 --> 00:41:40,080
Speaker 1: and there was this like mid twenties guy who was

692
00:41:40,120 --> 00:41:42,400
Speaker 1: on his computer typing away. In his background was a

693
00:41:42,440 --> 00:41:45,239
Speaker 1: fly of Garrick. And I was like, I gotta know more,

694
00:41:45,480 --> 00:41:48,239
Speaker 1: because like, you're just not casually walking around with the

695
00:41:48,280 --> 00:41:50,240
Speaker 1: fly of Eric is like the background of your phone

696
00:41:50,320 --> 00:41:52,880
Speaker 1: or something. Right, Yeah, I mean maybe he likes the

697
00:41:52,920 --> 00:41:56,080
Speaker 1: Smurfs maybe, but I've been interested in that too. So

698
00:41:56,160 --> 00:41:57,719
Speaker 1: I was like, Hey, what's up with the fly Garrick?

699
00:41:57,800 --> 00:42:00,759
Speaker 1: And he's like, oh, I'm actually uh study being uh

700
00:42:00,840 --> 00:42:04,319
Speaker 1: the Amida family in the Rocky Mountains. Uh. And then

701
00:42:04,320 --> 00:42:06,840
Speaker 1: we we talked for like twenty minutes about mushroom. He's like,

702
00:42:06,840 --> 00:42:10,560
Speaker 1: you should join the Southwest Montana Micological Association. So I

703
00:42:10,600 --> 00:42:14,000
Speaker 1: did so the fly Garrick gave me like a little

704
00:42:14,040 --> 00:42:16,640
Speaker 1: personal renaissance. Are you good friends of that guy? Now?

705
00:42:17,320 --> 00:42:19,480
Speaker 1: You know you made his day, by the way, Like

706
00:42:19,560 --> 00:42:24,080
Speaker 1: he working away on his computer and somebody was like

707
00:42:24,120 --> 00:42:27,239
Speaker 1: telling me about the mushrooms screens. It was like his

708
00:42:27,320 --> 00:42:29,600
Speaker 1: dream come true. Yeah, like yeah, yeah, that was it

709
00:42:29,680 --> 00:42:33,000
Speaker 1: like the high point of life right there you are

710
00:42:33,040 --> 00:42:35,920
Speaker 1: in Montana. It's not like you're like a lot of

711
00:42:35,920 --> 00:42:41,160
Speaker 1: people pick mushrooms around here, right. I don't know that

712
00:42:41,200 --> 00:42:43,480
Speaker 1: it's like more of a thing here than than other places.

713
00:42:43,680 --> 00:42:47,200
Speaker 1: I believe that it is, thinks, so just it's like

714
00:42:47,200 --> 00:42:50,080
Speaker 1: people are kind of more than tuned. There's places where

715
00:42:50,080 --> 00:42:51,680
Speaker 1: people just aren't. There's a lot of people that are

716
00:42:51,719 --> 00:42:53,719
Speaker 1: like tuned into the outdoors, right, and there's a lot

717
00:42:53,719 --> 00:42:56,400
Speaker 1: of places where people don't don't feel a real strong

718
00:42:56,400 --> 00:43:02,800
Speaker 1: connection to the natural. Houston, you see that on someone's computer,

719
00:43:03,600 --> 00:43:08,680
Speaker 1: you're immediately going to think that they're selling psychedelics. You know,

720
00:43:08,800 --> 00:43:12,800
Speaker 1: him talking about that, like those moments that trigger stuff.

721
00:43:12,840 --> 00:43:14,600
Speaker 1: I was listening to saying that I was talking about

722
00:43:14,640 --> 00:43:21,680
Speaker 1: the It was just historian who looks at people's attitudes

723
00:43:21,719 --> 00:43:26,520
Speaker 1: towards the COVID nineteen vaccine, and he was looking at

724
00:43:27,400 --> 00:43:30,400
Speaker 1: historically other things that there was like, I didn't realize

725
00:43:30,400 --> 00:43:35,560
Speaker 1: this smallpox. There was an anti vax crowd on smallpox.

726
00:43:35,760 --> 00:43:38,479
Speaker 1: You know, it had a huge anti movement, was um

727
00:43:38,520 --> 00:43:42,520
Speaker 1: when they tried to roll out pasteurized milk mm hmm,

728
00:43:43,120 --> 00:43:44,960
Speaker 1: like a lot of resistance to that, a lot of

729
00:43:44,960 --> 00:43:49,360
Speaker 1: resistance to smallpox treatments. UM, And he was it was

730
00:43:49,400 --> 00:43:51,200
Speaker 1: kind of interesting to hear it, putting the perspective of

731
00:43:51,239 --> 00:43:57,479
Speaker 1: how people have generally replied or generally responded to things

732
00:43:57,520 --> 00:44:00,440
Speaker 1: that people now like you don't even know, you know,

733
00:44:01,320 --> 00:44:03,239
Speaker 1: I think there's no one questions. I don't know, why

734
00:44:03,600 --> 00:44:07,080
Speaker 1: are people like not wanting a smallpox There's a lot

735
00:44:07,080 --> 00:44:10,760
Speaker 1: of anti vectors and there's a um, I know, there's

736
00:44:10,800 --> 00:44:13,480
Speaker 1: like a whole group in like sort of that like

737
00:44:13,600 --> 00:44:17,319
Speaker 1: wellness world with like pasteurization Exactly what I was going

738
00:44:17,400 --> 00:44:19,080
Speaker 1: to say, I was like, that's starting to come back

739
00:44:19,120 --> 00:44:21,360
Speaker 1: like big time. Like you're seeing a lot of folks

740
00:44:21,400 --> 00:44:23,839
Speaker 1: that are back in that camp of like they don't

741
00:44:23,880 --> 00:44:26,880
Speaker 1: want pasteurized anything. Got it? I worked with I was

742
00:44:27,000 --> 00:44:31,600
Speaker 1: profiling a livestock detective one time who uh investigated livestock theft.

743
00:44:31,600 --> 00:44:35,600
Speaker 1: You know, cattle rustling. And he was in California and

744
00:44:35,760 --> 00:44:40,000
Speaker 1: people were getting around pasteurized milk, and California by you'd

745
00:44:40,000 --> 00:44:43,799
Speaker 1: buy a share of a cow, right because you can

746
00:44:43,880 --> 00:44:46,640
Speaker 1: drink your own unpasteurized milk, you just can't sell it right.

747
00:44:46,840 --> 00:44:49,040
Speaker 1: So the way the way they figured out Californias, they

748
00:44:49,080 --> 00:44:51,360
Speaker 1: had this little system where I would have a cow,

749
00:44:51,480 --> 00:44:54,560
Speaker 1: let's say, and I would sell ownership of the cow

750
00:44:54,719 --> 00:44:58,919
Speaker 1: to people, and then they're all drinking their own milk.

751
00:44:59,040 --> 00:45:02,080
Speaker 1: They own a share of the cow. Um. He started

752
00:45:02,080 --> 00:45:05,200
Speaker 1: working this case and one of the things he described

753
00:45:05,239 --> 00:45:09,560
Speaker 1: being pretty funny is he goes around, He gets a

754
00:45:09,600 --> 00:45:12,840
Speaker 1: list of everybody that owns this cow and goes to

755
00:45:12,920 --> 00:45:16,000
Speaker 1: their home and says, I'd like to see your brand

756
00:45:16,000 --> 00:45:21,440
Speaker 1: inspection paperwork on the cow you own. So this was

757
00:45:21,480 --> 00:45:25,080
Speaker 1: like modern cattle Russell. Yeah, yeah, I wrote about it.

758
00:45:25,280 --> 00:45:28,279
Speaker 1: So he was working when I was profiling him, he

759
00:45:28,360 --> 00:45:31,200
Speaker 1: was working a big Ponzi scheme, a big cattle rustling

760
00:45:31,239 --> 00:45:35,440
Speaker 1: ponzi scheme that involved Keeper Sutherland, not the keeper startling

761
00:45:35,480 --> 00:45:40,120
Speaker 1: stole cattle. This guy comes. So when Keeper Sull them

762
00:45:40,200 --> 00:45:44,120
Speaker 1: was working on the Young Guns movies, I was hoping

763
00:45:44,120 --> 00:45:45,960
Speaker 1: it was the cowboy way but okay, he was work.

764
00:45:46,040 --> 00:45:50,640
Speaker 1: He got real interested in team roping and he eventually

765
00:45:50,719 --> 00:45:53,759
Speaker 1: got became friend. He had a team roping partner. The

766
00:45:53,800 --> 00:45:57,640
Speaker 1: team roping partner knew a guy that had a planned

767
00:45:57,760 --> 00:46:00,600
Speaker 1: import Coriente Steers. Now, I think there's just too many

768
00:46:00,640 --> 00:46:03,160
Speaker 1: Corientas rounding the markets flooded. But at this whatever this

769
00:46:03,280 --> 00:46:05,600
Speaker 1: moment was, that we're in a let corient A Steers,

770
00:46:06,600 --> 00:46:09,560
Speaker 1: that's what they use, and and like, yeah, rodeo roping.

771
00:46:11,160 --> 00:46:15,120
Speaker 1: The prices got very high in these things. So this

772
00:46:15,200 --> 00:46:21,239
Speaker 1: guy comes and says, uh, this guy comes for and says, hey,

773
00:46:21,280 --> 00:46:22,480
Speaker 1: I got a plan. We can all make a bunch

774
00:46:22,480 --> 00:46:23,880
Speaker 1: of money. I'm gonna go into Mexico and buy a

775
00:46:23,880 --> 00:46:26,319
Speaker 1: bunch of corient A Steers, bring him into the U

776
00:46:26,440 --> 00:46:28,520
Speaker 1: S and will lease him out to all these rodeo circuits.

777
00:46:29,560 --> 00:46:34,680
Speaker 1: So he gets a he gets an initial investment, and

778
00:46:34,840 --> 00:46:38,120
Speaker 1: Keeper Sultan was part of the initial investment. Dude never

779
00:46:38,120 --> 00:46:42,640
Speaker 1: even goes to Mexico but just comes and and hands

780
00:46:42,680 --> 00:46:46,520
Speaker 1: him the money plus his returns. Okay, so he whatever

781
00:46:46,520 --> 00:46:48,720
Speaker 1: it was like, he gets like three grand or something,

782
00:46:49,920 --> 00:46:52,080
Speaker 1: and then a couple days later comes and hands him

783
00:46:52,080 --> 00:46:55,759
Speaker 1: back whatever the hell. Four day very quick turnaround, very

784
00:46:55,840 --> 00:46:59,200
Speaker 1: quick return on investment. He'd gotten the money. He had

785
00:46:59,239 --> 00:47:02,640
Speaker 1: gotten the extra money by just stealing cattle and selling them.

786
00:47:02,680 --> 00:47:06,799
Speaker 1: So he rustled some steers, sold him goals. If you

787
00:47:06,800 --> 00:47:09,759
Speaker 1: want to get serious to make some real money, let's

788
00:47:09,760 --> 00:47:12,600
Speaker 1: do it again. Then he then he cuts a big

789
00:47:12,680 --> 00:47:16,120
Speaker 1: check and then he had scans with the money. What

790
00:47:16,320 --> 00:47:20,160
Speaker 1: a ski boat? If I remember right, I don't know

791
00:47:20,680 --> 00:47:22,480
Speaker 1: I bought a boat. I didn't know cattle rustling was

792
00:47:22,520 --> 00:47:25,759
Speaker 1: still like a career choice. I thought that, Yeah, it's

793
00:47:25,880 --> 00:47:28,680
Speaker 1: usually like most at the time that I wrote my

794
00:47:28,800 --> 00:47:35,480
Speaker 1: article about Um, I've optioned that thing so many times. Yeah,

795
00:47:35,480 --> 00:47:39,320
Speaker 1: I thought you optioned the career path. No, my article

796
00:47:39,320 --> 00:47:43,520
Speaker 1: is called Grand Theft Cattle, and people always option it

797
00:47:43,719 --> 00:47:45,319
Speaker 1: from me. But no one's ever made anything out of it.

798
00:47:45,360 --> 00:47:46,799
Speaker 1: But everybody thinks they're going to make like a thing

799
00:47:46,800 --> 00:47:52,719
Speaker 1: about cattle rustling. Yeah, for sure, dairy cavs um a

800
00:47:52,719 --> 00:47:54,680
Speaker 1: lot of a lot of rustling. It's usually like a

801
00:47:54,719 --> 00:47:56,239
Speaker 1: couple of kids. If he was saying, like, if you

802
00:47:56,280 --> 00:47:59,880
Speaker 1: want to look at a profile of a cattle rustler general,

803
00:48:00,200 --> 00:48:04,440
Speaker 1: it's like a couple of high school kids, Um have

804
00:48:04,520 --> 00:48:07,680
Speaker 1: a rodeo background. They got an uncle with a goose

805
00:48:07,760 --> 00:48:13,920
Speaker 1: neck trailer, and that's most rustling. It's like small scale,

806
00:48:14,520 --> 00:48:17,200
Speaker 1: but there are some big um there are some big,

807
00:48:17,280 --> 00:48:19,960
Speaker 1: large scale operations, and it typically works is like you're

808
00:48:21,120 --> 00:48:24,719
Speaker 1: you're doing it to get slicks like unbranded animals. You're

809
00:48:24,760 --> 00:48:29,640
Speaker 1: stealing animals that have an easily manipulated brand so you

810
00:48:29,640 --> 00:48:33,000
Speaker 1: can over brand it. Like let's say this isn't the case,

811
00:48:33,040 --> 00:48:37,520
Speaker 1: but let's say your brand was OH, and you register Q,

812
00:48:38,920 --> 00:48:41,719
Speaker 1: so you steal O branded cattle. Like let's say you

813
00:48:41,800 --> 00:48:45,239
Speaker 1: own Q and your neighbor owns OH. You steal a

814
00:48:45,239 --> 00:48:48,080
Speaker 1: bunch of his OH branded cattle, burn in the little

815
00:48:48,120 --> 00:48:51,680
Speaker 1: mark that turns it into a queue and sell or.

816
00:48:51,880 --> 00:48:54,360
Speaker 1: You steal cattle and get them into a no brand

817
00:48:54,440 --> 00:48:59,080
Speaker 1: state where there's no brand inspection process, so you then

818
00:48:59,160 --> 00:49:04,080
Speaker 1: move them over into that interesting world. That's why when

819
00:49:04,120 --> 00:49:07,920
Speaker 1: you register a new brand now it's very complicated. Like now,

820
00:49:08,000 --> 00:49:10,040
Speaker 1: when you register a new brand in some states, they

821
00:49:10,080 --> 00:49:12,920
Speaker 1: make you do this. Uh, you have to do like

822
00:49:12,960 --> 00:49:15,040
Speaker 1: three letters. But guys don't like it because you can't

823
00:49:15,040 --> 00:49:17,240
Speaker 1: burn it with a single iron. It takes like repeated

824
00:49:17,239 --> 00:49:19,319
Speaker 1: burning to get it in there. I was walking on

825
00:49:19,360 --> 00:49:21,319
Speaker 1: a roll with my old neighbor in Miles City one time,

826
00:49:21,360 --> 00:49:22,840
Speaker 1: and they had a you know when you have a

827
00:49:22,880 --> 00:49:24,960
Speaker 1: tree planet and they have like a great around the

828
00:49:24,960 --> 00:49:28,760
Speaker 1: tree two for water to come through. In Miles City,

829
00:49:28,760 --> 00:49:31,880
Speaker 1: the greats are all local cattle brands. And he showed

830
00:49:31,880 --> 00:49:34,799
Speaker 1: me a brand in there and he said he just

831
00:49:34,840 --> 00:49:40,279
Speaker 1: sold that brand for four thousand dollars because people would

832
00:49:40,280 --> 00:49:43,040
Speaker 1: prefer to buy an old brand rather than register a

833
00:49:43,040 --> 00:49:45,360
Speaker 1: new one, because you can buy an old simple brand.

834
00:49:45,840 --> 00:49:48,200
Speaker 1: I got this brand book from California that's bigger than

835
00:49:48,239 --> 00:49:51,480
Speaker 1: the Bible, and it's all the brands in the state

836
00:49:51,560 --> 00:49:54,440
Speaker 1: and each brand can be registered in like six places

837
00:49:54,480 --> 00:50:00,520
Speaker 1: like front shoulder like uh, right shoulder, right rump, flank,

838
00:50:00,719 --> 00:50:05,200
Speaker 1: left shoulder, left rump, left flank like Ronald Reagan's brands.

839
00:50:05,200 --> 00:50:08,200
Speaker 1: In this brand book, it's a fascinating world cattle Brandon.

840
00:50:18,440 --> 00:50:24,719
Speaker 1: Where was I m wolf human attacks? Oh, then we're

841
00:50:24,719 --> 00:50:29,640
Speaker 1: gonna get into wolves. No, I haven't read it. I

842
00:50:30,040 --> 00:50:33,719
Speaker 1: read enough to know I was titilated. Um try to

843
00:50:33,719 --> 00:50:37,520
Speaker 1: get Krim to read it. She didn't read it. Spencer

844
00:50:37,520 --> 00:50:40,920
Speaker 1: read it. It's a report on what is known about

845
00:50:42,440 --> 00:50:45,640
Speaker 1: Is it a new report? Yeah, it's what do we

846
00:50:45,680 --> 00:50:49,680
Speaker 1: know about wolves killing people from two thousand two to

847
00:50:49,800 --> 00:50:54,480
Speaker 1: two thousand twenty, So the last eighteen years of wolves

848
00:50:54,600 --> 00:51:00,480
Speaker 1: killing folks it identified from fiction. Spencer will do a report. Uh,

849
00:51:00,560 --> 00:51:01,920
Speaker 1: you know, we should maybe put in even though it's

850
00:51:01,960 --> 00:51:03,880
Speaker 1: your little book report, maybe we should put in our

851
00:51:03,920 --> 00:51:07,680
Speaker 1: tailor and recall report intro. I'll just replace it with

852
00:51:07,760 --> 00:51:23,080
Speaker 1: Spencer's book report. Yeah. Yeah, like Alexi's voice, Spencer's he's

853
00:51:23,120 --> 00:51:26,160
Speaker 1: got a new album coming out. Um, he's the one

854
00:51:26,239 --> 00:51:28,520
Speaker 1: that tipped us off. We haven't covered yet on Trout

855
00:51:28,520 --> 00:51:32,879
Speaker 1: getting high on drugs. Um to cover that story at

856
00:51:32,920 --> 00:51:36,120
Speaker 1: some point. So many people do drugs now that it's

857
00:51:36,120 --> 00:51:40,200
Speaker 1: in the water, and Trout get addicted to drugs, it's truth.

858
00:51:41,200 --> 00:51:43,560
Speaker 1: I would guarantee that Bent podcast covers at at some

859
00:51:43,600 --> 00:51:45,879
Speaker 1: point too, you think so, I would imagine that's right

860
00:51:45,920 --> 00:51:49,680
Speaker 1: up their alley. Trout on Math. That's my new band name.

861
00:51:50,600 --> 00:51:53,239
Speaker 1: They've done Hippos on cocaine. I don't know about Trout

862
00:51:53,280 --> 00:51:57,879
Speaker 1: on Matthew So okay, So wolves, like, how many people

863
00:51:57,920 --> 00:52:00,560
Speaker 1: are really getting killed by wolves? Last twenty years? Eighteen years?

864
00:52:00,600 --> 00:52:05,040
Speaker 1: It identified four nine human attacks from around the world.

865
00:52:05,920 --> 00:52:07,880
Speaker 1: It included report from places that I didn't even know

866
00:52:07,960 --> 00:52:12,360
Speaker 1: had wolves like Saudi Arabia or Israel. Saudi Arabia's wolves

867
00:52:13,120 --> 00:52:21,880
Speaker 1: and like fatal killer wolves too. So yeah, huh of

868
00:52:22,000 --> 00:52:30,640
Speaker 1: the four Chris, our Middle East expert, our Middle East expert,

869
00:52:30,680 --> 00:52:34,279
Speaker 1: know that? Go on are they? What kind of wolf

870
00:52:34,320 --> 00:52:41,200
Speaker 1: are the wolves? That's right? Of the four nine attacks

871
00:52:41,239 --> 00:52:43,960
Speaker 1: from around the world in the last eighteen years, twenty

872
00:52:44,040 --> 00:52:49,560
Speaker 1: six were fatal. Not only twelve of these four eighty

873
00:52:49,680 --> 00:52:55,000
Speaker 1: nine took place in North America or Europe. Okay, very rare.

874
00:52:57,040 --> 00:53:00,160
Speaker 1: Globally in the last eighteen years have been how many

875
00:53:00,160 --> 00:53:06,759
Speaker 1: fatalities twenty six? Okay, so one point, I don't know

876
00:53:07,040 --> 00:53:13,560
Speaker 1: too people globally every year get killed by wolves globally. Yeah,

877
00:53:14,040 --> 00:53:16,400
Speaker 1: and you said only twelve of the attacks, not twelve

878
00:53:16,400 --> 00:53:20,400
Speaker 1: of the fatalities took place the attacks North America in

879
00:53:20,440 --> 00:53:24,960
Speaker 1: the last eighteen years, there have been twelve in our continent.

880
00:53:26,680 --> 00:53:29,839
Speaker 1: Where are most of these happening? Spencer, I mean, that's

881
00:53:29,880 --> 00:53:32,160
Speaker 1: not if it's not North American, it's not Europe like

882
00:53:32,280 --> 00:53:37,960
Speaker 1: where in US and Canada. I don't think. I don't

883
00:53:37,960 --> 00:53:41,000
Speaker 1: think Mexico has enough wolves anymore. You tell me any

884
00:53:41,000 --> 00:53:43,719
Speaker 1: attacks there? So the US and Canton in eighteen years,

885
00:53:43,719 --> 00:53:46,840
Speaker 1: twelve people got attacked by wolf. How many fatalities? I

886
00:53:46,880 --> 00:53:50,280
Speaker 1: think four of those were fatal. One was kind of harrowing.

887
00:53:50,320 --> 00:53:52,200
Speaker 1: You're gonna get into the harrowing one of the joggers.

888
00:53:53,400 --> 00:53:57,200
Speaker 1: Uh no, so they they I don't even read it.

889
00:53:57,239 --> 00:54:00,480
Speaker 1: And I found that they took some of the reports,

890
00:54:00,560 --> 00:54:04,239
Speaker 1: and there's like nobody reports on wolf attacks like North

891
00:54:04,280 --> 00:54:07,120
Speaker 1: America does. Like yeah, if you if you look at

892
00:54:07,239 --> 00:54:10,839
Speaker 1: a wolfe attack from like Banff National Park, like you

893
00:54:10,880 --> 00:54:13,520
Speaker 1: know what color shirt the person was wearing, and what

894
00:54:13,600 --> 00:54:17,040
Speaker 1: they ate for breakfast, and like exactly how many stitches

895
00:54:17,080 --> 00:54:20,560
Speaker 1: they got. That's our next calendar actually right behind the

896
00:54:20,560 --> 00:54:28,759
Speaker 1: deer blind America. Yeah, here's January's attack from It's only

897
00:54:28,800 --> 00:54:31,160
Speaker 1: gonna take us eighteen years put this calendar together, right,

898
00:54:32,080 --> 00:54:35,279
Speaker 1: So like North America like heavily documents this, but then

899
00:54:35,320 --> 00:54:38,120
Speaker 1: you get to like like Yemen or something like that,

900
00:54:38,200 --> 00:54:41,640
Speaker 1: and it's like, oh, the shepherd grabbed the wolf by

901
00:54:41,640 --> 00:54:44,080
Speaker 1: its tail and then the wolf bit it on its

902
00:54:44,080 --> 00:54:48,520
Speaker 1: hand and ran away. That makes the report. Yes, Now

903
00:54:48,560 --> 00:54:51,000
Speaker 1: here's here's something else to note that four eight nine

904
00:54:51,040 --> 00:54:53,600
Speaker 1: were confirmed attacks, but they said they had about double

905
00:54:53,680 --> 00:54:56,360
Speaker 1: that that they didn't feel like they had enough information

906
00:54:56,440 --> 00:54:59,400
Speaker 1: on to be like, yes, this happened, and it was

907
00:54:59,480 --> 00:55:05,760
Speaker 1: most certain a wolf, biggest dog, Yeah, exactly, yep. M hm,

908
00:55:06,280 --> 00:55:09,719
Speaker 1: So you didn't find the one the jogger from Alaska?

909
00:55:10,400 --> 00:55:13,799
Speaker 1: Why I pulled aside some of my favorites. One of

910
00:55:13,840 --> 00:55:17,600
Speaker 1: them was from port Edward, BC, Canada. May this is

911
00:55:17,640 --> 00:55:20,560
Speaker 1: your just get this straight. This is your favorite wolf attacks?

912
00:55:20,600 --> 00:55:24,480
Speaker 1: My favorite wolf attacks from from this summary of like,

913
00:55:24,680 --> 00:55:27,080
Speaker 1: uh yeah, of a couple of hundreds. That does sound

914
00:55:27,080 --> 00:55:29,280
Speaker 1: like a book report, like when you're in middle school.

915
00:55:29,400 --> 00:55:34,160
Speaker 1: My favorite. Yeah, I'm sure the ones uh in like

916
00:55:34,520 --> 00:55:37,720
Speaker 1: Eastern Europe, in the Middle East and like South Asia

917
00:55:37,840 --> 00:55:42,600
Speaker 1: were much better, much better wolf attacks. But like I said,

918
00:55:42,600 --> 00:55:45,279
Speaker 1: it's like, oh, it bit him on the ankle and

919
00:55:45,320 --> 00:55:47,959
Speaker 1: then they killed the wolf later that day or something

920
00:55:47,960 --> 00:55:53,560
Speaker 1: like that. Yeah, they just don't. It's just not satisfied. Yeah.

921
00:55:53,920 --> 00:55:55,480
Speaker 1: The port Edward, BC, there was a man in his

922
00:55:55,560 --> 00:55:59,239
Speaker 1: seventies walking home from a party m and he got

923
00:55:59,280 --> 00:56:01,799
Speaker 1: to his front door and a wolf jumped out of

924
00:56:01,800 --> 00:56:05,719
Speaker 1: the bushes and attacked him. And it labeled this as

925
00:56:05,719 --> 00:56:08,000
Speaker 1: a predatory attack, which is one of the most rare

926
00:56:08,800 --> 00:56:13,200
Speaker 1: of wolf attacks. Was he faced was he faced. No,

927
00:56:13,280 --> 00:56:15,319
Speaker 1: I didn't say that I was wondering. I had the

928
00:56:15,360 --> 00:56:18,239
Speaker 1: same question. It didn't say that he was attacked, He

929
00:56:18,239 --> 00:56:20,960
Speaker 1: was grabbed by the leg, he was drug off. Neighbors

930
00:56:21,000 --> 00:56:24,279
Speaker 1: came over and helped him and like scared the wolf off.

931
00:56:24,320 --> 00:56:26,560
Speaker 1: But then as they did like first aid on him,

932
00:56:26,760 --> 00:56:28,960
Speaker 1: the wolf just hung out and just like circled him

933
00:56:29,480 --> 00:56:33,080
Speaker 1: and just like wouldn't leave. He was that hungry and

934
00:56:33,120 --> 00:56:37,160
Speaker 1: that unbothered. The man was in the hospital for three

935
00:56:37,239 --> 00:56:40,239
Speaker 1: weeks and survived. Six wolves were killed in the area

936
00:56:40,239 --> 00:56:42,879
Speaker 1: and d DNA tests confirmed that they got the one

937
00:56:42,920 --> 00:56:49,759
Speaker 1: that attacked him and five others and five others. Where

938
00:56:49,880 --> 00:56:51,680
Speaker 1: was that If that had happened in my neighborhood, that

939
00:56:51,680 --> 00:56:55,640
Speaker 1: wolf would have got hit early on, exactly early on

940
00:56:55,680 --> 00:56:59,560
Speaker 1: in the evening. Yeah, port Edward, BC. It attacked him

941
00:56:59,560 --> 00:57:04,040
Speaker 1: at his on the door. Yeah, then you had North.

942
00:57:04,120 --> 00:57:06,600
Speaker 1: Now why is that your favorite? Because it was one

943
00:57:06,640 --> 00:57:12,480
Speaker 1: of the few that like had satisfying enough details. Yeah,

944
00:57:12,840 --> 00:57:16,160
Speaker 1: then then you had North Macedonia. January fifty eight year

945
00:57:16,160 --> 00:57:19,520
Speaker 1: old farmer finds a wolf in his sheep barn. The

946
00:57:19,520 --> 00:57:22,320
Speaker 1: man enters the barn, grabs a wolf by his tail

947
00:57:22,480 --> 00:57:25,160
Speaker 1: and tries to pull it out. The wolf then attacks

948
00:57:25,240 --> 00:57:27,840
Speaker 1: him by biting his arms and face, but with the

949
00:57:27,840 --> 00:57:31,280
Speaker 1: help of his wife, he gets an axe and kills

950
00:57:31,280 --> 00:57:34,040
Speaker 1: the wolf. Good for him. Yeah, it's a great ending

951
00:57:34,080 --> 00:57:37,479
Speaker 1: with ax with an ax. Now it doesn't like say,

952
00:57:37,560 --> 00:57:41,040
Speaker 1: like what assistance his wife offers, or like who great

953
00:57:41,120 --> 00:57:44,840
Speaker 1: calendar yielding the ax? Yeah, no, that's a good one.

954
00:57:45,840 --> 00:57:49,440
Speaker 1: And then there was a BAMF National Park, Alberta, Canada, August.

955
00:57:50,000 --> 00:57:53,160
Speaker 1: We actually covered this one. This one was heavily covered.

956
00:57:53,160 --> 00:57:55,720
Speaker 1: We covered this on the mediator dot com and the

957
00:57:55,720 --> 00:57:59,240
Speaker 1: guy was cool about it. We didn't talk to him, no,

958
00:57:59,280 --> 00:58:02,440
Speaker 1: but I mean just other news stories I read about him. Yeah.

959
00:58:03,360 --> 00:58:05,760
Speaker 1: It was a family that was camping in the middle

960
00:58:05,760 --> 00:58:08,040
Speaker 1: of the night. A wolf bites its way into the

961
00:58:08,080 --> 00:58:12,040
Speaker 1: tent while the family is sleeping. Father tries to fight back,

962
00:58:12,120 --> 00:58:14,840
Speaker 1: but he's dragged out of the tent and neighboring campers

963
00:58:14,880 --> 00:58:18,000
Speaker 1: come over. They're kicking the wolf, they're throwing rocks at

964
00:58:18,040 --> 00:58:21,680
Speaker 1: it um and while the wolf is tangled up with

965
00:58:21,720 --> 00:58:25,520
Speaker 1: the father, they get it off and the man lives

966
00:58:26,120 --> 00:58:27,600
Speaker 1: and the wolf is killed the next day about a

967
00:58:27,600 --> 00:58:35,480
Speaker 1: mile away. The middle of the night. M hm. Now

968
00:58:35,600 --> 00:58:37,880
Speaker 1: the paper freak occurrence that happens now and then Yeah,

969
00:58:38,280 --> 00:58:41,240
Speaker 1: I find myself now argue with people NonStop. People that

970
00:58:41,400 --> 00:58:47,240
Speaker 1: have that carry pepper spray needlessly they haven't. Parents got

971
00:58:47,240 --> 00:58:49,880
Speaker 1: pepper spray now because the black bears. I got pepper spray,

972
00:58:49,920 --> 00:58:52,680
Speaker 1: because the mountain lions. I got pepper spray because the wolves.

973
00:58:52,760 --> 00:58:55,760
Speaker 1: It's like, this is one thing that warrants pepper spray.

974
00:58:56,040 --> 00:58:59,800
Speaker 1: One animal that warren'ts pepper spray. You have more chance

975
00:58:59,840 --> 00:59:02,080
Speaker 1: of finding up in the hospital from your pepper spray?

976
00:59:03,520 --> 00:59:06,240
Speaker 1: Did you do from a black bear or a wolf

977
00:59:06,320 --> 00:59:13,880
Speaker 1: or something? In eighteen years? Twelve people? Three hundred and

978
00:59:13,920 --> 00:59:20,439
Speaker 1: what now, three hundred seventeen million Americans? Plenty? How many

979
00:59:20,440 --> 00:59:25,439
Speaker 1: people in Canada like another half dozen give a take

980
00:59:26,160 --> 00:59:34,880
Speaker 1: roughly million and year. It's common for a year to

981
00:59:35,000 --> 00:59:37,640
Speaker 1: go by with no one even getting nipped by a wolf.

982
00:59:37,800 --> 00:59:43,680
Speaker 1: That number included Europe as well. What oh, yeah, are

983
00:59:43,680 --> 00:59:48,640
Speaker 1: we including in North America? Twelve and and Europe? Let

984
00:59:48,960 --> 00:59:51,120
Speaker 1: me find the number here again? And lord knows how

985
00:59:51,120 --> 00:59:55,960
Speaker 1: many holders are in Europe. Yeah. The biggest takeaway is

986
00:59:56,000 --> 01:00:00,680
Speaker 1: the wolves aren't a problem. That not No, no, wolves

987
01:00:00,680 --> 01:00:03,880
Speaker 1: aren't a human risk. Sure. The biggest takeaway though, was

988
01:00:03,960 --> 01:00:08,360
Speaker 1: that like, uh, wolves love garbage. So many of these

989
01:00:08,360 --> 01:00:12,000
Speaker 1: reports talked about how it happened near landfill. It happened

990
01:00:12,200 --> 01:00:15,560
Speaker 1: where an area where the wolf was like rating dumpsters

991
01:00:15,560 --> 01:00:18,520
Speaker 1: and stuff like that. That's like a commonality no matter

992
01:00:18,760 --> 01:00:21,760
Speaker 1: the continent or no matter like who got attacked, is

993
01:00:21,800 --> 01:00:24,800
Speaker 1: that these things are like attracted to human waste and

994
01:00:24,840 --> 01:00:32,240
Speaker 1: then some human winds up among the garbage and they're attacked. Yeah,

995
01:00:32,440 --> 01:00:34,560
Speaker 1: the paper does not really take a stance on hunting.

996
01:00:34,600 --> 01:00:37,000
Speaker 1: It brings up how to prevent wolf tax and it's

997
01:00:37,040 --> 01:00:39,840
Speaker 1: talking about like things we could potentially do as far

998
01:00:39,880 --> 01:00:43,640
Speaker 1: as management goes, and it it briefly brings up hunting,

999
01:00:43,640 --> 01:00:46,439
Speaker 1: but they take like a very neutral stance. They're like, well,

1000
01:00:47,880 --> 01:00:50,680
Speaker 1: the pros would be that it reduces populations, it causes

1001
01:00:50,720 --> 01:00:54,240
Speaker 1: they learned behavior that makes wolves more shy. Uh, it

1002
01:00:54,320 --> 01:00:56,920
Speaker 1: slocks problematic wolves. But then at the same time you

1003
01:00:56,960 --> 01:01:00,160
Speaker 1: have these other biologists saying that like whatever personality eight

1004
01:01:00,240 --> 01:01:02,840
Speaker 1: that is that human is killing in a wolf is

1005
01:01:03,000 --> 01:01:05,640
Speaker 1: beneficial to the pack somehow, and it's good to have

1006
01:01:05,680 --> 01:01:10,240
Speaker 1: diverse populate or diverse population of personalities in a pack.

1007
01:01:10,600 --> 01:01:12,720
Speaker 1: And you still have a tax happening where it's legal,

1008
01:01:13,240 --> 01:01:15,640
Speaker 1: so it tries its best to not take a stance

1009
01:01:15,680 --> 01:01:21,800
Speaker 1: on hunting wolves. Meanwhile, grizzlies in three states killed multiple

1010
01:01:21,800 --> 01:01:27,880
Speaker 1: people every year. That's a lot. Grizzlies. Moslim in Montana

1011
01:01:27,880 --> 01:01:31,120
Speaker 1: and Wyman kill several people every year. What spurred this

1012
01:01:31,160 --> 01:01:34,200
Speaker 1: wolf thing did? For some reason because the report just

1013
01:01:34,280 --> 01:01:36,600
Speaker 1: came out, somebody got real freaked out of someone. He

1014
01:01:36,800 --> 01:01:39,560
Speaker 1: Finger send us that report, helfle finger where just half

1015
01:01:39,560 --> 01:01:46,000
Speaker 1: the things we talked about come from Jim Jim he

1016
01:01:46,120 --> 01:01:48,640
Speaker 1: sents it over. I can't keep up with all the

1017
01:01:48,640 --> 01:01:53,360
Speaker 1: interesting stuff that guy sends over. Uh okay, onto some

1018
01:01:53,640 --> 01:01:56,760
Speaker 1: a couple of meat questions. This is our segue. That

1019
01:01:56,840 --> 01:02:00,560
Speaker 1: was smooth. What was the other thing we wanted to

1020
01:02:00,600 --> 01:02:07,439
Speaker 1: talk about, Janni the glue and meat together. Tortas? What's

1021
01:02:07,440 --> 01:02:11,040
Speaker 1: a tortoise? That's sort of a meat question? We can

1022
01:02:11,080 --> 01:02:13,640
Speaker 1: make it one. A guy wrote in, like, after listening

1023
01:02:13,680 --> 01:02:18,600
Speaker 1: to Dr Chris Calcolm's he's our our meat scientists that

1024
01:02:18,600 --> 01:02:20,720
Speaker 1: we go to with meat questions on a scientific meat

1025
01:02:20,800 --> 01:02:23,720
Speaker 1: question level, I would not put him as an adventurous

1026
01:02:23,720 --> 01:02:30,080
Speaker 1: eater mm hmm, because, like you know, just what kind

1027
01:02:30,080 --> 01:02:32,440
Speaker 1: of goes against his training? Not an adventurous eater, though

1028
01:02:32,480 --> 01:02:35,400
Speaker 1: he did say, do you even hear about that blue

1029
01:02:35,640 --> 01:02:41,200
Speaker 1: that bison priscus, the step bison, like the thirty some

1030
01:02:41,360 --> 01:02:44,280
Speaker 1: thousand years old they found it in the perma frost,

1031
01:02:44,680 --> 01:02:46,840
Speaker 1: and uh, I wrote about that one in my Buffalo book.

1032
01:02:46,840 --> 01:02:50,800
Speaker 1: But anyways, that guy there's a Dale Gothrie researcher. They

1033
01:02:50,840 --> 01:02:52,920
Speaker 1: had a fundraiser where they cooked that thirty thousand year

1034
01:02:52,960 --> 01:02:55,720
Speaker 1: old bison up. What did you say? It tastes a

1035
01:02:55,720 --> 01:03:03,160
Speaker 1: little muddy. It's the term that food. He's used to

1036
01:03:03,240 --> 01:03:06,640
Speaker 1: describe things that tastes like dirt. Like they're like, I

1037
01:03:06,680 --> 01:03:11,560
Speaker 1: get an earthy note, You're like dirt you mean dirt? Mud? Yeah? Mud? Yeah,

1038
01:03:11,600 --> 01:03:15,520
Speaker 1: you mean mud. Uh. Chris Calkin says he would have

1039
01:03:15,560 --> 01:03:18,880
Speaker 1: eaten that, just to say he did. He would, But

1040
01:03:18,960 --> 01:03:21,880
Speaker 1: most things he's like, normally I love the guy to death,

1041
01:03:22,200 --> 01:03:25,360
Speaker 1: but normally he's like, not gonna eat it. Like, if

1042
01:03:25,360 --> 01:03:27,000
Speaker 1: you going to him, like what if I found a

1043
01:03:27,640 --> 01:03:30,920
Speaker 1: he's he's probably generally gonna He wouldn't say I'm not

1044
01:03:30,960 --> 01:03:32,040
Speaker 1: gonna eat it. But if you're like what if I

1045
01:03:32,080 --> 01:03:34,720
Speaker 1: found him? You know, he'd be like, well, here's the

1046
01:03:34,800 --> 01:03:37,560
Speaker 1: things you might want to consider was leans not eating

1047
01:03:38,800 --> 01:03:43,040
Speaker 1: he's caught cautionary Yeah, Like I was gotten a snake

1048
01:03:43,040 --> 01:03:45,840
Speaker 1: and found a rat inside of stomach. Can I eat it?

1049
01:03:46,200 --> 01:03:47,640
Speaker 1: He would be, Um, let me tell you a couple

1050
01:03:47,640 --> 01:03:50,880
Speaker 1: of things to think about eat that rat. That's like

1051
01:03:50,920 --> 01:03:53,160
Speaker 1: every health inspector, by the way, if you ask them,

1052
01:03:53,160 --> 01:03:55,240
Speaker 1: like what restaurants do? Would you go to eat there?

1053
01:03:55,240 --> 01:04:02,840
Speaker 1: Like I eat at my house across the board? Uh? Oh.

1054
01:04:02,920 --> 01:04:06,520
Speaker 1: So recent new research suggested that that bison, which they

1055
01:04:06,600 --> 01:04:09,560
Speaker 1: named Babe, they now think it was fifty years old.

1056
01:04:10,880 --> 01:04:15,640
Speaker 1: Still way different than thirty six month. Shoot. There's in

1057
01:04:15,680 --> 01:04:18,640
Speaker 1: this rock counting book there's a short section on fossils,

1058
01:04:18,760 --> 01:04:20,800
Speaker 1: and they cover and they're like, what's the youngest fossil?

1059
01:04:21,120 --> 01:04:26,240
Speaker 1: What could be? Oh, that's great? Yeah's uh, there's not

1060
01:04:26,280 --> 01:04:28,840
Speaker 1: a satisfying answer. There's like no definition of what a

1061
01:04:28,880 --> 01:04:31,440
Speaker 1: fossil really is. And so this person had an example

1062
01:04:31,760 --> 01:04:36,000
Speaker 1: of where they were at a museum. Where is that sentence? Again,

1063
01:04:37,560 --> 01:04:39,400
Speaker 1: no one knows what a fossil is. There's not really

1064
01:04:39,440 --> 01:04:42,280
Speaker 1: like there's like a very gray area as to what

1065
01:04:42,360 --> 01:04:44,320
Speaker 1: can be a fossil versus what is Because it's a

1066
01:04:44,360 --> 01:04:48,200
Speaker 1: long transitional process and one of the examples was that

1067
01:04:48,280 --> 01:04:50,760
Speaker 1: this person was in a museum where they had like

1068
01:04:51,160 --> 01:04:55,760
Speaker 1: a mammoth leg that was found in ice that was

1069
01:04:55,800 --> 01:04:58,160
Speaker 1: from like twelve thousand years ago or something, and they

1070
01:04:58,200 --> 01:05:02,240
Speaker 1: pull it out and one part is fossilized and just

1071
01:05:02,280 --> 01:05:07,360
Speaker 1: like a very traditional fossilized bone, and the other part

1072
01:05:07,840 --> 01:05:10,480
Speaker 1: still has rotting meat that you could smell that had

1073
01:05:10,560 --> 01:05:14,360
Speaker 1: like a terrible odors. And that was their example of like,

1074
01:05:14,400 --> 01:05:16,760
Speaker 1: because what are the odds of that? Right? Yeah, to

1075
01:05:16,840 --> 01:05:19,680
Speaker 1: be in the perfect place where fossilization is occurring, but

1076
01:05:19,760 --> 01:05:22,640
Speaker 1: also preservation on the other end. Yeah, So that was

1077
01:05:22,720 --> 01:05:25,760
Speaker 1: like a glimpse into sort of the randomness and in

1078
01:05:25,840 --> 01:05:29,560
Speaker 1: the gray area of fossils. Who's got that leg? It

1079
01:05:29,640 --> 01:05:32,760
Speaker 1: was in some museum, So what do they do when

1080
01:05:33,000 --> 01:05:37,120
Speaker 1: they have it? Do they like finish? Oh, I'm sure

1081
01:05:37,120 --> 01:05:39,080
Speaker 1: it's on like dry ice somewhere and it comes out.

1082
01:05:40,120 --> 01:05:41,720
Speaker 1: I don't want to eat it. I just want that

1083
01:05:41,800 --> 01:05:45,160
Speaker 1: leg to have on display, like here's here's the rotting

1084
01:05:45,160 --> 01:05:48,440
Speaker 1: meat portion that smells, and here's the fossil you know,

1085
01:05:48,800 --> 01:05:52,160
Speaker 1: like people come over, You're like showing your record collection this.

1086
01:05:52,760 --> 01:06:00,160
Speaker 1: Ye see that that's a fossilized half rotten half. What

1087
01:06:00,280 --> 01:06:06,480
Speaker 1: that is um. So I brought a great question when

1088
01:06:06,520 --> 01:06:09,840
Speaker 1: you eat animals eat caught in traps, which I do.

1089
01:06:11,440 --> 01:06:16,400
Speaker 1: So you got a beaver that is dead, um, and

1090
01:06:16,400 --> 01:06:18,520
Speaker 1: it's already because Chris talks about like the importance of

1091
01:06:18,520 --> 01:06:20,600
Speaker 1: the rigor process and how long it's been there. So

1092
01:06:20,640 --> 01:06:23,320
Speaker 1: let's say you set, uh, you make a beaver set

1093
01:06:23,960 --> 01:06:27,840
Speaker 1: and you check it forty eight hours later. And let's

1094
01:06:27,880 --> 01:06:30,040
Speaker 1: say the second you walk away, that beaver comes out

1095
01:06:30,040 --> 01:06:33,440
Speaker 1: of his den hole and you check out forty eight

1096
01:06:33,480 --> 01:06:36,200
Speaker 1: hours later. Here you're eating a thing that's been ungutted

1097
01:06:37,280 --> 01:06:41,000
Speaker 1: forty eight hours? What does that do? And you pull

1098
01:06:41,080 --> 01:06:43,440
Speaker 1: them out? Sometimes they won't they won't be riggored. Sometimes

1099
01:06:43,440 --> 01:06:48,720
Speaker 1: they will be riggored. Um, that's interesting question. I've never

1100
01:06:48,760 --> 01:06:51,840
Speaker 1: hesitated because I just go by the waters damn cold,

1101
01:06:53,120 --> 01:06:56,400
Speaker 1: because's the wintertime, right. I always thought that was that

1102
01:06:56,520 --> 01:06:59,120
Speaker 1: was the preservation method, that it was fine because you're

1103
01:06:59,240 --> 01:07:01,560
Speaker 1: doing a summer the summertime, it's stink. I had a

1104
01:07:01,640 --> 01:07:06,080
Speaker 1: cow elk Ones fall into a beaver pond after I

1105
01:07:06,160 --> 01:07:08,520
Speaker 1: shot her with an arrow, and then we found her

1106
01:07:08,600 --> 01:07:11,680
Speaker 1: twenty four hours after I shot her and drug her out.

1107
01:07:11,800 --> 01:07:13,800
Speaker 1: She's like just right on the edge, maybe even a

1108
01:07:13,840 --> 01:07:16,720
Speaker 1: hoof or something hanging out of the water and drug

1109
01:07:16,720 --> 01:07:18,960
Speaker 1: her out and got her and the guts were like

1110
01:07:19,040 --> 01:07:25,080
Speaker 1: ice cold. Really, Chris Calkuan's put that in his pipe smoking.

1111
01:07:28,400 --> 01:07:30,240
Speaker 1: I was mispronounced his name. Note does he go by

1112
01:07:30,280 --> 01:07:35,720
Speaker 1: Calkins cal Calkins. I'm trying to remember. I imagine it

1113
01:07:35,760 --> 01:07:39,680
Speaker 1: would chill faster because it's circulating water. Oh, the same

1114
01:07:39,720 --> 01:07:45,120
Speaker 1: way it makes you so damn cold. Ye like it's yeah,

1115
01:07:45,160 --> 01:07:48,800
Speaker 1: it's like Rob's heat from things. But he's saying that

1116
01:07:49,600 --> 01:07:55,600
Speaker 1: the cold actually can speed up. Like what is he?

1117
01:07:55,720 --> 01:07:57,920
Speaker 1: What is he saying that that it doesn't do what

1118
01:07:58,000 --> 01:07:59,880
Speaker 1: you think it would with regards to riggormortis that's the

1119
01:08:00,440 --> 01:08:04,200
Speaker 1: can actually adjust the way this works. He says death

1120
01:08:04,280 --> 01:08:06,520
Speaker 1: is pretty quick and the typically cold water could help

1121
01:08:06,520 --> 01:08:11,200
Speaker 1: with preservation. Here's where he hones in. Okay, Dr Chris

1122
01:08:11,200 --> 01:08:15,840
Speaker 1: Calkins Calkins, damn it one or the other University Nebraska

1123
01:08:17,320 --> 01:08:19,160
Speaker 1: c A L K I N s. He's been on

1124
01:08:19,160 --> 01:08:21,439
Speaker 1: the show a couple of times. Here's where Here's where

1125
01:08:21,479 --> 01:08:28,040
Speaker 1: his mind goes. Water in the lungs, water being a

1126
01:08:28,080 --> 01:08:34,920
Speaker 1: carrier of bacteria. Um. If it's stiff, it's in rigor

1127
01:08:35,920 --> 01:08:39,519
Speaker 1: and there has been sufficient time for bacterial migration to occur.

1128
01:08:41,200 --> 01:08:44,600
Speaker 1: Cold water, by the way, actually slows stiffening because it

1129
01:08:44,720 --> 01:08:50,840
Speaker 1: slows the metabola's metabolism. That's better because I don't even

1130
01:08:50,840 --> 01:08:56,479
Speaker 1: recognize that word, but because it slows the metabolism, not

1131
01:08:56,600 --> 01:09:02,920
Speaker 1: the metabolism, It slows the metabolism via temperature. People often

1132
01:09:02,960 --> 01:09:05,800
Speaker 1: think the cold should accelerate stiffening, but it doesn't work

1133
01:09:05,800 --> 01:09:09,599
Speaker 1: that way. If the carcass is soft and pliable, then

1134
01:09:09,640 --> 01:09:12,080
Speaker 1: the meat is not in rigor mortis and would be

1135
01:09:12,120 --> 01:09:15,720
Speaker 1: safer to eat. The risk is not zero, but then

1136
01:09:15,760 --> 01:09:21,400
Speaker 1: it seldom is. That sounds like a thumbs up from him. Yeah, yeah,

1137
01:09:21,600 --> 01:09:25,000
Speaker 1: don't eat the lungs, is what I'm hearing. That's a

1138
01:09:25,000 --> 01:09:30,760
Speaker 1: great question though, Man, Yeah, that is that's interesting. Uh.

1139
01:09:30,960 --> 01:09:33,280
Speaker 1: Usually when you use we used to call him snares,

1140
01:09:33,280 --> 01:09:35,280
Speaker 1: but now everybody likes to call him cable straint, a

1141
01:09:35,280 --> 01:09:39,880
Speaker 1: cable restraint because it sounds nicer. It's like, I'll silencers

1142
01:09:39,880 --> 01:09:42,680
Speaker 1: are now suppressors because they don't like actually silence thing,

1143
01:09:42,680 --> 01:09:45,840
Speaker 1: and so they kind of rebranded as a suppressor, which

1144
01:09:45,880 --> 01:09:49,160
Speaker 1: is actually more accurate. Well, snare has been rebranded as

1145
01:09:49,160 --> 01:09:52,960
Speaker 1: a cable restraint to make it seem like benign. I

1146
01:09:52,960 --> 01:09:54,679
Speaker 1: had a beaver one time. It was pretty warm weather

1147
01:09:54,680 --> 01:09:56,800
Speaker 1: in the spring, and I had a beaver in a

1148
01:09:56,880 --> 01:09:59,320
Speaker 1: cable restraint, but he got hung up in a weird way.

1149
01:09:59,400 --> 01:10:00,760
Speaker 1: Usually there are a lot I like you could you

1150
01:10:00,800 --> 01:10:03,639
Speaker 1: could relocate them with snares, like it's so it doesn't

1151
01:10:03,680 --> 01:10:06,120
Speaker 1: damage them. But this guy got into a weird situation

1152
01:10:06,160 --> 01:10:09,040
Speaker 1: and was dead on the bank and warm weather, and

1153
01:10:09,080 --> 01:10:12,559
Speaker 1: I thought twice and didn't take any didn't use any

1154
01:10:12,600 --> 01:10:15,120
Speaker 1: meat from that beaver was laying out in the hot sun.

1155
01:10:16,680 --> 01:10:19,519
Speaker 1: Speaking of rebranding, I'm big in the rebranding of the

1156
01:10:19,600 --> 01:10:22,200
Speaker 1: Snakehead Fish Camp. I feel like we need to start

1157
01:10:22,240 --> 01:10:26,479
Speaker 1: working on that because it's so good. Culinarily, Yeah, it's awesome,

1158
01:10:26,680 --> 01:10:28,719
Speaker 1: but I feel like it's not gonna get any traction

1159
01:10:28,800 --> 01:10:31,519
Speaker 1: as long as we keep calling its snakehead. I know

1160
01:10:31,640 --> 01:10:34,320
Speaker 1: those guys and and Uh we were hanging out with

1161
01:10:34,360 --> 01:10:38,600
Speaker 1: in the what it's the east east shore del mar

1162
01:10:38,720 --> 01:10:42,799
Speaker 1: Del Peninsula. They got like snakeheads stickers in the truck windows. Manya,

1163
01:10:43,280 --> 01:10:46,879
Speaker 1: It's delicious, but it's like the you know, the Patagonian toothfish.

1164
01:10:46,920 --> 01:10:49,040
Speaker 1: Like we had to switch to Chilean sea bass to

1165
01:10:49,040 --> 01:10:51,760
Speaker 1: get any traction on that, A lot of good it

1166
01:10:51,840 --> 01:10:56,240
Speaker 1: did them. They went a little too far on that one. Yeah,

1167
01:10:56,320 --> 01:10:58,880
Speaker 1: so we gotta land somewhere in the middle. Here. Can

1168
01:10:58,920 --> 01:11:00,639
Speaker 1: you explain me real quick what you were talking about

1169
01:11:00,680 --> 01:11:04,360
Speaker 1: when you guys were talking about, Um, I told you

1170
01:11:04,360 --> 01:11:06,800
Speaker 1: to stopped talking about yeah, yeah, yeah, yeah, well yeah,

1171
01:11:06,880 --> 01:11:10,320
Speaker 1: you need to set it up because we were talking. Yeah,

1172
01:11:10,320 --> 01:11:13,120
Speaker 1: this a little pitch for probably next week's podcast or

1173
01:11:13,360 --> 01:11:18,280
Speaker 1: it's upcoming. Steve and I are interviewing Dr ed Ashby

1174
01:11:18,320 --> 01:11:20,800
Speaker 1: and some of his colleagues of the ed Ashby Foundation.

1175
01:11:21,320 --> 01:11:25,800
Speaker 1: And these guys have been studying, uh, basically arrows and

1176
01:11:25,840 --> 01:11:29,759
Speaker 1: broadheads and arrow lethality for the last thirty years, probably

1177
01:11:29,760 --> 01:11:32,080
Speaker 1: more than anybody else on the planet that I know of.

1178
01:11:32,800 --> 01:11:34,439
Speaker 1: And I was just reading a thing that was talking

1179
01:11:34,439 --> 01:11:40,000
Speaker 1: about like how much the actual like super sharpness of

1180
01:11:40,040 --> 01:11:42,920
Speaker 1: your broad head, you know, well, will help you kill

1181
01:11:42,960 --> 01:11:47,920
Speaker 1: an animal faster because the sharper it is when it

1182
01:11:48,000 --> 01:11:51,679
Speaker 1: makes the cut across blood vessels, if there is no

1183
01:11:52,400 --> 01:11:56,719
Speaker 1: rough edge, no serrated edge left behind by a less

1184
01:11:56,720 --> 01:12:00,360
Speaker 1: sharp or dollar edge, that makes it easy. Year for

1185
01:12:00,439 --> 01:12:03,360
Speaker 1: this A lot of science and here, a lot of

1186
01:12:03,479 --> 01:12:07,320
Speaker 1: science e terms. Basically, there's a chemical reaction that happens

1187
01:12:07,360 --> 01:12:11,559
Speaker 1: that immediately starts to help coagulation, and the more less

1188
01:12:11,560 --> 01:12:14,680
Speaker 1: sort of feathery rough edges there are, the easier it

1189
01:12:14,760 --> 01:12:17,320
Speaker 1: is for that to happen, to create this compound that

1190
01:12:17,360 --> 01:12:20,240
Speaker 1: then helps coagulation. Is that why certain cuts like just

1191
01:12:20,320 --> 01:12:21,880
Speaker 1: bleed like a son of a gun, like when you

1192
01:12:21,920 --> 01:12:24,840
Speaker 1: cut yourself with a razor blader exactly, or like a

1193
01:12:24,880 --> 01:12:28,320
Speaker 1: paper cut, you know, like where you're just uh So,

1194
01:12:28,360 --> 01:12:31,880
Speaker 1: what I was saying is that culinarily there's this this

1195
01:12:31,920 --> 01:12:34,800
Speaker 1: is kind of like modern gastronomy, but there's this there's

1196
01:12:34,840 --> 01:12:40,519
Speaker 1: this chemical it's called transglutanomas, which is colloquially called meat glue,

1197
01:12:41,040 --> 01:12:43,280
Speaker 1: And what it does is that it allows you to

1198
01:12:43,400 --> 01:12:48,160
Speaker 1: bond or bind rather protein to more protein. And so

1199
01:12:48,439 --> 01:12:52,000
Speaker 1: where it gets used as something like like a lamb belly,

1200
01:12:52,120 --> 01:12:55,599
Speaker 1: which is really really thin, and so it's really hard

1201
01:12:55,600 --> 01:12:57,880
Speaker 1: to cook because it's so thin, and it's texture isn't

1202
01:12:57,880 --> 01:12:59,840
Speaker 1: that great because it's so thin. So what you can

1203
01:12:59,880 --> 01:13:02,680
Speaker 1: do instead stack a whole bunch of them on top

1204
01:13:02,720 --> 01:13:06,080
Speaker 1: of each other and make them make the protein literally

1205
01:13:06,360 --> 01:13:09,840
Speaker 1: reform and create a land belly that's three or four

1206
01:13:09,920 --> 01:13:11,920
Speaker 1: or five or six inches thick. This is why I

1207
01:13:11,960 --> 01:13:13,880
Speaker 1: told you to stop, because I wanted to have you

1208
01:13:13,920 --> 01:13:15,840
Speaker 1: mixed this in there, right, so, and then you can

1209
01:13:15,880 --> 01:13:17,559
Speaker 1: well I want to tell you my thing, then you can, okay,

1210
01:13:17,600 --> 01:13:20,719
Speaker 1: go for it. Uh. When we would take a bear

1211
01:13:21,160 --> 01:13:26,760
Speaker 1: ham and cut the femur out of it so then

1212
01:13:26,800 --> 01:13:30,760
Speaker 1: you can slice it easy, right? Uh? My body would

1213
01:13:30,800 --> 01:13:35,280
Speaker 1: take gelatin from the store and sprinkle gelating all over

1214
01:13:35,320 --> 01:13:37,320
Speaker 1: the inside of it, and then we put you know,

1215
01:13:37,320 --> 01:13:38,800
Speaker 1: I got one of those funnels and the you know,

1216
01:13:38,840 --> 01:13:41,479
Speaker 1: the mesh, so you make like a rolled rolls like

1217
01:13:41,479 --> 01:13:45,559
Speaker 1: your Graham used to buy it. He'd sprinkle gelatin in

1218
01:13:45,640 --> 01:13:49,439
Speaker 1: there before putting it back together, thinking that it would

1219
01:13:49,439 --> 01:13:51,920
Speaker 1: make it that when you slice the ham, it would

1220
01:13:51,920 --> 01:13:54,320
Speaker 1: be less likely to just fall apart. Right, roll that

1221
01:13:54,360 --> 01:13:56,559
Speaker 1: into what you're talking about. Okay, So that's true or not?

1222
01:13:56,600 --> 01:13:59,760
Speaker 1: I don't notice a huge difference. I'll tell you why.

1223
01:13:59,800 --> 01:14:03,600
Speaker 1: So okay. So, with the translutantomas to make to effectively

1224
01:14:03,640 --> 01:14:05,479
Speaker 1: bind something, what you'll find is that if you take

1225
01:14:05,520 --> 01:14:09,040
Speaker 1: two smooth sided pieces of meat where they've either been

1226
01:14:09,080 --> 01:14:12,000
Speaker 1: sliced with something really sharp, like a very sharp knife,

1227
01:14:12,000 --> 01:14:14,599
Speaker 1: cutting filets of fish or something like that. They won't

1228
01:14:14,600 --> 01:14:17,000
Speaker 1: really stick together. It doesn't really matter how much of

1229
01:14:17,000 --> 01:14:18,840
Speaker 1: this stuff you put on there, they won't really stick together.

1230
01:14:19,040 --> 01:14:21,439
Speaker 1: And so what you quickly realize is that it's actually

1231
01:14:21,479 --> 01:14:25,400
Speaker 1: better to have more perforated or sort of coarsely cut

1232
01:14:25,439 --> 01:14:28,080
Speaker 1: pieces for them to bind together. So with like a

1233
01:14:28,160 --> 01:14:31,000
Speaker 1: lamb belly, for example, you'd be better off to take

1234
01:14:31,040 --> 01:14:33,760
Speaker 1: the skin off and kind of score it almost and

1235
01:14:33,800 --> 01:14:36,479
Speaker 1: then take the next one do that and invert it

1236
01:14:36,520 --> 01:14:39,040
Speaker 1: so they're not even, and then smush them together like

1237
01:14:39,080 --> 01:14:41,320
Speaker 1: compress them, and then they will stick to what we're

1238
01:14:41,360 --> 01:14:43,679
Speaker 1: effectively trying to do a silver skin to silver skin

1239
01:14:43,840 --> 01:14:46,240
Speaker 1: right exactly. And so it's like the worst case scenario,

1240
01:14:46,360 --> 01:14:49,800
Speaker 1: it's not gonna work. Plus there's the issue with the

1241
01:14:49,840 --> 01:14:53,760
Speaker 1: fact that gelatine doesn't bind at temp like and so

1242
01:14:54,120 --> 01:14:56,519
Speaker 1: gelatine is activated at a certain temperature, but then at

1243
01:14:56,520 --> 01:14:59,719
Speaker 1: a certain temperature it also de natures and so that'd

1244
01:14:59,720 --> 01:15:01,760
Speaker 1: be and if you want to eat your your bare

1245
01:15:01,840 --> 01:15:04,439
Speaker 1: ham that you you know, cure cook and then cool

1246
01:15:04,479 --> 01:15:08,120
Speaker 1: it under compression so still bound together, and then slice

1247
01:15:08,120 --> 01:15:10,200
Speaker 1: it cold, it probably would stick together. It would look

1248
01:15:10,200 --> 01:15:12,680
Speaker 1: like a classic like an old school French gene. But

1249
01:15:12,840 --> 01:15:16,560
Speaker 1: where translutanamase works is that it's not it's not creating

1250
01:15:16,640 --> 01:15:19,640
Speaker 1: a glue in the middle. It's literally forcing those proteins

1251
01:15:19,680 --> 01:15:22,000
Speaker 1: to re bind to each other as if they were

1252
01:15:22,040 --> 01:15:25,400
Speaker 1: growing new muscles. And so you could do that exact

1253
01:15:25,479 --> 01:15:27,560
Speaker 1: same thing. You could take that leg. In fact, we

1254
01:15:27,680 --> 01:15:30,800
Speaker 1: do this with lamb legs all the time. We'll bone

1255
01:15:30,840 --> 01:15:33,559
Speaker 1: them out, We'll go in, we'll sort of take out

1256
01:15:33,600 --> 01:15:36,880
Speaker 1: all the silver skin, open all the muscles up intentionally,

1257
01:15:36,960 --> 01:15:39,920
Speaker 1: kind of do it in a semi sloppy manner, and

1258
01:15:39,960 --> 01:15:43,920
Speaker 1: then sprinkle this translutanomase powder, which just looks like gelatine

1259
01:15:44,760 --> 01:15:47,920
Speaker 1: um sauces maker dot com. I don't think they sell it,

1260
01:15:47,960 --> 01:15:50,400
Speaker 1: but we get it from UM. We get it from

1261
01:15:50,400 --> 01:15:53,719
Speaker 1: a brand called Terra Spice Um that's based in Indiana,

1262
01:15:53,760 --> 01:15:57,800
Speaker 1: I think UM. And then you roll it back up

1263
01:15:57,840 --> 01:16:01,160
Speaker 1: same deal, like that, netting everything, and then we put

1264
01:16:01,200 --> 01:16:03,000
Speaker 1: it in a vacuum bag in vacuum it because what

1265
01:16:03,040 --> 01:16:06,120
Speaker 1: you need to do is like force it tight and

1266
01:16:06,120 --> 01:16:08,840
Speaker 1: then you let it sit for a day and it

1267
01:16:08,920 --> 01:16:13,000
Speaker 1: regrows the muscle fiber and then you know. The wade

1268
01:16:13,040 --> 01:16:16,880
Speaker 1: from Elevated Wild I was reading something he did about

1269
01:16:16,920 --> 01:16:20,120
Speaker 1: making bacon, and he did the same thing, but using

1270
01:16:20,160 --> 01:16:24,840
Speaker 1: pork fat back with some venison and then gluing them

1271
01:16:24,840 --> 01:16:27,800
Speaker 1: together to make bacon exactly. Remember I said it to

1272
01:16:27,880 --> 01:16:30,439
Speaker 1: you when we were looking at that axis deer when

1273
01:16:30,439 --> 01:16:32,000
Speaker 1: we were in Hawaii and we were saying like, oh,

1274
01:16:32,040 --> 01:16:34,800
Speaker 1: this is a really fatty deer and you we pulled

1275
01:16:34,800 --> 01:16:36,720
Speaker 1: off that belly and you asked me, could we could

1276
01:16:36,760 --> 01:16:38,880
Speaker 1: this be turned into bacon? And what I said was,

1277
01:16:39,320 --> 01:16:41,320
Speaker 1: if you get if we take several of them and

1278
01:16:41,400 --> 01:16:43,720
Speaker 1: go them together together, we could make a slab of

1279
01:16:43,720 --> 01:16:45,720
Speaker 1: bacon out of that. Yeah. The deer I got in

1280
01:16:46,160 --> 01:16:50,439
Speaker 1: Hawaii had just gobs of fat all over it. Beautiful.

1281
01:16:50,680 --> 01:16:54,080
Speaker 1: Some of it was really on the outer side was

1282
01:16:54,200 --> 01:17:01,000
Speaker 1: very waxy, but the insides it's much softer. Um So,

1283
01:17:01,040 --> 01:17:03,719
Speaker 1: But I think some of some of that on the inside,

1284
01:17:03,800 --> 01:17:06,960
Speaker 1: like the kidney fat. Yeah yeah, but that belly, I

1285
01:17:06,960 --> 01:17:09,320
Speaker 1: think some of that fat needs to be trimmed, probably

1286
01:17:09,960 --> 01:17:13,200
Speaker 1: a lot of it. But um, I'm still going to

1287
01:17:13,320 --> 01:17:15,120
Speaker 1: do something with it. I gotta get my hands on

1288
01:17:15,160 --> 01:17:17,360
Speaker 1: some of this stuff. I'll get you some. I haven't

1289
01:17:17,400 --> 01:17:19,719
Speaker 1: had my little funnel stuffer. I haven't used my funnel

1290
01:17:19,720 --> 01:17:23,080
Speaker 1: stuffer in years. Well, you can use it for anything, man,

1291
01:17:23,160 --> 01:17:26,600
Speaker 1: Like we use it to bind two different proteins that

1292
01:17:26,680 --> 01:17:30,439
Speaker 1: don't go together, so like fish with ham, for example,

1293
01:17:30,560 --> 01:17:32,880
Speaker 1: like things like that, so you can cook them together. Yeah,

1294
01:17:33,880 --> 01:17:37,240
Speaker 1: well give me that. Like what so we would take

1295
01:17:37,280 --> 01:17:39,800
Speaker 1: like if there's like a super lean type of fish,

1296
01:17:39,800 --> 01:17:42,360
Speaker 1: like halibet, for example, and we're trying to cook it

1297
01:17:42,400 --> 01:17:44,040
Speaker 1: in a method that we're worried he's going to dry

1298
01:17:44,040 --> 01:17:48,240
Speaker 1: it out, We'll use transglutanomates to effectively glue pure cork

1299
01:17:48,280 --> 01:17:49,800
Speaker 1: fat to the outside of it so that when we

1300
01:17:49,880 --> 01:17:54,639
Speaker 1: roasted it based itself as it cooks. Basically, Yeah, dude,

1301
01:17:54,680 --> 01:17:57,280
Speaker 1: I'm in man, think of something zippy for that, Phil

1302
01:17:58,200 --> 01:18:01,960
Speaker 1: I think they already did. It's meekly enough. That sounds

1303
01:18:02,000 --> 01:18:04,880
Speaker 1: like the new new fancy version of wrapping it in bacon.

1304
01:18:05,200 --> 01:18:08,160
Speaker 1: It is the new fancy version of rapping and bacon.

1305
01:18:08,240 --> 01:18:10,880
Speaker 1: But bacon's Bacon's just the tip of the iceberg here.

1306
01:18:10,880 --> 01:18:13,960
Speaker 1: You're honestly, I like it because I like using that

1307
01:18:14,000 --> 01:18:17,519
Speaker 1: funnel with the mash, and I still got a huge

1308
01:18:17,560 --> 01:18:20,439
Speaker 1: coil that mash. You know, he works like you take

1309
01:18:20,479 --> 01:18:22,839
Speaker 1: like smoke a pheasant and cram it through that funnel.

1310
01:18:23,240 --> 01:18:26,439
Speaker 1: I think it's more. This sounds more like the function

1311
01:18:26,439 --> 01:18:29,800
Speaker 1: of the funnel that you're really I'm looking for ways

1312
01:18:29,840 --> 01:18:32,519
Speaker 1: to use my phone, which sits in my I have

1313
01:18:32,560 --> 01:18:35,200
Speaker 1: like a closet full of meat processing equipment, what we

1314
01:18:35,240 --> 01:18:38,880
Speaker 1: call the meat closet. Um. Yeah, the funnels just sitting

1315
01:18:38,880 --> 01:18:41,280
Speaker 1: in there. Every time you're looking at it, get depressed

1316
01:18:41,280 --> 01:18:43,479
Speaker 1: because I haven't used them lately. But I know about

1317
01:18:43,479 --> 01:18:46,400
Speaker 1: my funnel. You've seen them. Yeah, Joe, you can bolt

1318
01:18:46,439 --> 01:18:48,360
Speaker 1: this thing to a table giant funnel. Oh, I know

1319
01:18:48,400 --> 01:18:50,320
Speaker 1: what you're talking about. Yeah, like, I mean, yeah, they

1320
01:18:50,320 --> 01:18:52,560
Speaker 1: they this is like for industrial purpose. I think I

1321
01:18:52,600 --> 01:18:55,320
Speaker 1: bought it at Sausage maker dot com. You know, I

1322
01:18:55,360 --> 01:18:59,240
Speaker 1: have a turkey breast brianing right now. Maybe I'll bring

1323
01:18:59,280 --> 01:19:01,320
Speaker 1: it over and just run it through your funnel to

1324
01:19:01,400 --> 01:19:03,320
Speaker 1: bring the funnel over there, knock the dust off. Do

1325
01:19:03,320 --> 01:19:05,080
Speaker 1: you want me to see if I can shotgun you

1326
01:19:05,160 --> 01:19:07,840
Speaker 1: some transplutantams over and get this turkey breast bound up

1327
01:19:07,880 --> 01:19:11,639
Speaker 1: into like one perfect publics DELI you know style turkey breast.

1328
01:19:11,720 --> 01:19:15,760
Speaker 1: Now we gotta make it happen. Could be a great

1329
01:19:16,160 --> 01:19:18,960
Speaker 1: would be a great experiment. Uh you know what, you know,

1330
01:19:19,000 --> 01:19:21,320
Speaker 1: I didn't mention that I wanted to mention. Um, we

1331
01:19:21,320 --> 01:19:24,360
Speaker 1: were talking lately about different things people use suvied wands

1332
01:19:24,400 --> 01:19:29,519
Speaker 1: for uh. Doctor wrote in he was over in the

1333
01:19:29,560 --> 01:19:37,840
Speaker 1: cadaver lab. Check this out human cadavers. They got a

1334
01:19:37,840 --> 01:19:45,080
Speaker 1: big tank full of cows blood, heated to temp, heated

1335
01:19:45,120 --> 01:19:49,479
Speaker 1: to body temp with a siouvied that they're circulating through

1336
01:19:49,520 --> 01:19:54,200
Speaker 1: the cadavers to keep everything fresh and limber. That does

1337
01:19:54,280 --> 01:19:56,760
Speaker 1: not surprise me at all. It doesn't surprise you know

1338
01:19:56,960 --> 01:20:00,439
Speaker 1: because in the early days, like I'm talking like lat hindies,

1339
01:20:01,000 --> 01:20:04,280
Speaker 1: when we first started using circulators, we had to buy

1340
01:20:04,360 --> 01:20:07,360
Speaker 1: all of them from labs, like the only company that

1341
01:20:07,400 --> 01:20:10,799
Speaker 1: made them was poly Science, and they were used for

1342
01:20:11,120 --> 01:20:13,200
Speaker 1: questionable things. And so the first thing you did when

1343
01:20:13,240 --> 01:20:15,439
Speaker 1: you got your circulator in, because they were always used,

1344
01:20:15,920 --> 01:20:18,200
Speaker 1: is that you basically like circulated a bath of bleach,

1345
01:20:18,479 --> 01:20:21,160
Speaker 1: like to get out whatever may have been inside it. Yeah,

1346
01:20:21,160 --> 01:20:23,200
Speaker 1: like you got the okada ever lab. Yeah, I'm sure

1347
01:20:23,280 --> 01:20:25,640
Speaker 1: we've gotten some blood bath circulators in my day. What

1348
01:20:25,680 --> 01:20:28,559
Speaker 1: do they need cown's blood for? They running it through

1349
01:20:28,560 --> 01:20:32,519
Speaker 1: these dead humans to keep everything limbered up. They couldn't

1350
01:20:32,520 --> 01:20:35,240
Speaker 1: get enough human blood well, probably like a waste of

1351
01:20:35,280 --> 01:20:42,320
Speaker 1: human blood to to simulate blood flow and keep them fresh. Weird.

1352
01:20:44,120 --> 01:20:45,800
Speaker 1: That makes me like, I want to pull my skin off.

1353
01:20:46,080 --> 01:20:48,400
Speaker 1: That's weird. If you do that, you're gonna wind up

1354
01:20:48,400 --> 01:20:51,800
Speaker 1: in that lab. You're next up for the circulator bath.

1355
01:20:52,520 --> 01:20:57,000
Speaker 1: Mm hmm. Cavin, where'd you grow up? Uh? In the

1356
01:20:57,240 --> 01:21:00,280
Speaker 1: in North Georgia, like the mountains of North Georgia. How

1357
01:21:00,280 --> 01:21:02,040
Speaker 1: did you wind up doing all of the top chef stuff?

1358
01:21:02,600 --> 01:21:07,519
Speaker 1: Did you like? Sign? No? Like by accident? Really? So? Um?

1359
01:21:07,640 --> 01:21:10,000
Speaker 1: They just started calling me one day at work and

1360
01:21:10,040 --> 01:21:11,600
Speaker 1: I thought it was a buddy of mine playing a

1361
01:21:11,600 --> 01:21:14,000
Speaker 1: prank on me, and they kept like, by the way,

1362
01:21:14,040 --> 01:21:16,040
Speaker 1: so all these guys are based in Los Angeles, and

1363
01:21:16,040 --> 01:21:18,680
Speaker 1: so they would call my restaurant at you know, a

1364
01:21:18,720 --> 01:21:20,439
Speaker 1: normal time for them, but they'd call it like eight

1365
01:21:20,439 --> 01:21:24,120
Speaker 1: o'clock on a Friday. We're packed and you know, someone

1366
01:21:24,200 --> 01:21:25,400
Speaker 1: the host would come up be like, che if you

1367
01:21:25,479 --> 01:21:28,120
Speaker 1: got a call, And I'm like, and I don't think

1368
01:21:28,160 --> 01:21:29,880
Speaker 1: I'm allowed to repeat the things that I would say

1369
01:21:30,040 --> 01:21:33,160
Speaker 1: to them, Um, but I'd go, you know, pick up

1370
01:21:33,160 --> 01:21:35,800
Speaker 1: the phone, yell a few obscenities, and hang it up.

1371
01:21:36,320 --> 01:21:38,240
Speaker 1: That probably made him even more interested. They called back

1372
01:21:38,280 --> 01:21:40,040
Speaker 1: like three days in a row, and finally on the

1373
01:21:40,120 --> 01:21:42,200
Speaker 1: third day, I was like, I thought it was a

1374
01:21:42,200 --> 01:21:43,600
Speaker 1: friend of mine playing a prank, but I was like,

1375
01:21:43,640 --> 01:21:46,559
Speaker 1: your prank is stupid and you're and they were like, no,

1376
01:21:46,640 --> 01:21:49,280
Speaker 1: this is legitimately Top Chef and I'm like, oh, yeah,

1377
01:21:49,280 --> 01:21:51,439
Speaker 1: you're you're that TV show like and I had never

1378
01:21:51,479 --> 01:21:53,679
Speaker 1: seen it before. I mean, this was I was working

1379
01:21:53,840 --> 01:21:55,479
Speaker 1: all the time, like I didn't have time to watch

1380
01:21:55,520 --> 01:21:58,920
Speaker 1: a you know, show on TV UM, and they asked

1381
01:21:58,920 --> 01:22:01,200
Speaker 1: me to come to this show, which I had never seen,

1382
01:22:01,640 --> 01:22:05,839
Speaker 1: and at first I was a dred percent against it. Um.

1383
01:22:05,880 --> 01:22:09,080
Speaker 1: But this is two thousand eight, and so all of

1384
01:22:09,120 --> 01:22:12,840
Speaker 1: a sudden, our restaurants tanked, you know, nobody had any money,

1385
01:22:12,840 --> 01:22:15,599
Speaker 1: nobody went out, and so we were winning all these

1386
01:22:15,600 --> 01:22:19,920
Speaker 1: awards left and right, and yet we couldn't pay the

1387
01:22:19,960 --> 01:22:22,760
Speaker 1: bills because no one was coming to dinner. And so

1388
01:22:23,360 --> 01:22:25,840
Speaker 1: I was dwelling on this Top Chef thing and I

1389
01:22:25,880 --> 01:22:29,439
Speaker 1: had decided not to go. And then one night we

1390
01:22:29,479 --> 01:22:32,960
Speaker 1: did zero people for dinner, and my business partner at

1391
01:22:33,000 --> 01:22:34,439
Speaker 1: the time was like, I think we have a month

1392
01:22:34,520 --> 01:22:37,080
Speaker 1: like that because of the housing market collapse. Yeah, because

1393
01:22:37,080 --> 01:22:39,120
Speaker 1: we're you're in fine dining like, that's what I was doing.

1394
01:22:39,120 --> 01:22:41,400
Speaker 1: So you're talking about, you know, meals that cost people

1395
01:22:41,479 --> 01:22:44,800
Speaker 1: hundreds of dollars apiece to eat, and so that dried

1396
01:22:44,880 --> 01:22:46,880
Speaker 1: up quick, and so he was like, look, I think

1397
01:22:46,880 --> 01:22:49,160
Speaker 1: we got a month of business left. You know, that's

1398
01:22:49,200 --> 01:22:52,800
Speaker 1: probably all we can do. Uh, And so I called

1399
01:22:52,800 --> 01:22:54,479
Speaker 1: the top chef people back and said, as you know,

1400
01:22:54,479 --> 01:22:56,400
Speaker 1: as the offer still stand, and they're like, we filmed

1401
01:22:56,400 --> 01:22:57,840
Speaker 1: next week, and I was like, send me the ticket,

1402
01:22:57,880 --> 01:22:59,960
Speaker 1: I'll go. So it was like at last ditch effort

1403
01:23:00,000 --> 01:23:03,040
Speaker 1: to save my restaurant. So that's how it happened, and

1404
01:23:03,080 --> 01:23:06,240
Speaker 1: it worked like literally the minute they announced that my

1405
01:23:06,320 --> 01:23:09,360
Speaker 1: participation in it, we went from nothing in the middle

1406
01:23:09,400 --> 01:23:12,000
Speaker 1: of the housing crisis to being booked out a year

1407
01:23:12,000 --> 01:23:16,519
Speaker 1: in advance, seriously, so we were doing three or four

1408
01:23:16,560 --> 01:23:18,960
Speaker 1: hundred people at night and it stayed that way for

1409
01:23:19,479 --> 01:23:22,200
Speaker 1: I mean five years, and then I sold that restaurant

1410
01:23:22,240 --> 01:23:24,800
Speaker 1: and went on to do others. But yeah, it was

1411
01:23:24,840 --> 01:23:27,599
Speaker 1: crazy that impactful. It was insane before it even started,

1412
01:23:27,760 --> 01:23:30,920
Speaker 1: before anybody had even seen an episode, just the word

1413
01:23:31,000 --> 01:23:33,560
Speaker 1: that I had been that I was participating, boom, that

1414
01:23:33,680 --> 01:23:37,880
Speaker 1: was a light switch. Do you find uh, most people

1415
01:23:37,880 --> 01:23:39,840
Speaker 1: do that are they good. What do you mean the

1416
01:23:39,840 --> 01:23:41,720
Speaker 1: people who compete on most people to get cast? Are

1417
01:23:41,720 --> 01:23:43,639
Speaker 1: they like when you go in there, are you're like, wow,

1418
01:23:43,680 --> 01:23:46,200
Speaker 1: man's hold on real quick? Is it a competition? Just

1419
01:23:46,200 --> 01:23:49,280
Speaker 1: so I know more about so it works, is that

1420
01:23:49,360 --> 01:23:52,599
Speaker 1: there's usually well, the amount of people per season has

1421
01:23:52,680 --> 01:23:55,040
Speaker 1: changed a little bit from the beginning. So I think

1422
01:23:55,160 --> 01:23:57,960
Speaker 1: this will make that show. Yeah, it's on season twenty

1423
01:23:58,240 --> 01:24:00,240
Speaker 1: right now. So I did it the first time with

1424
01:24:00,240 --> 01:24:03,439
Speaker 1: season six, and so I believe that if I remember correctly,

1425
01:24:03,439 --> 01:24:07,200
Speaker 1: we had eighteen people when we started. And each week

1426
01:24:07,400 --> 01:24:09,840
Speaker 1: in TV time, somebody gets sent home. In real life,

1427
01:24:09,880 --> 01:24:13,360
Speaker 1: that happens every few days. Um, and you whittle it

1428
01:24:13,400 --> 01:24:19,120
Speaker 1: down until last man standing kind of thing. And so, UM,

1429
01:24:19,240 --> 01:24:22,960
Speaker 1: what I will tell you, having done it multiple times

1430
01:24:22,960 --> 01:24:25,120
Speaker 1: now and sort of worked on the back end of it,

1431
01:24:25,200 --> 01:24:28,479
Speaker 1: is that when they cast the show, they are actually

1432
01:24:28,520 --> 01:24:31,519
Speaker 1: not just trying to cast for apparently it makes for

1433
01:24:31,600 --> 01:24:36,040
Speaker 1: boring TV if everybody legitimately can win. Um, it's more

1434
01:24:36,120 --> 01:24:38,360
Speaker 1: fun if you get three or four people who could

1435
01:24:38,360 --> 01:24:39,960
Speaker 1: probably win and the rest of the people are just

1436
01:24:40,320 --> 01:24:43,360
Speaker 1: absolute lunatics and it's just like you know, and so

1437
01:24:43,439 --> 01:24:45,360
Speaker 1: then it's just like you're having to deal with these

1438
01:24:45,400 --> 01:24:49,280
Speaker 1: people who might be psychologically unstable. So that's kind of

1439
01:24:49,320 --> 01:24:52,000
Speaker 1: the way they make the show in truth. So yeah,

1440
01:24:52,080 --> 01:24:55,000
Speaker 1: and honestly, like in the first day as a participant,

1441
01:24:55,479 --> 01:24:59,200
Speaker 1: you can you can tell pretty quickly like who who's legitimate,

1442
01:24:59,200 --> 01:25:01,280
Speaker 1: like who's going to be your oppetition, and it usually

1443
01:25:01,280 --> 01:25:02,800
Speaker 1: works out that way. You find the same three or

1444
01:25:02,840 --> 01:25:07,360
Speaker 1: four people win every single day throughout the whole time.

1445
01:25:07,479 --> 01:25:09,360
Speaker 1: That's just kind of and you just sort of trading blues.

1446
01:25:09,400 --> 01:25:12,759
Speaker 1: It's like Division one college football where you're like everybody

1447
01:25:12,760 --> 01:25:15,200
Speaker 1: feels a team, but there's like this handful of teams

1448
01:25:15,200 --> 01:25:17,200
Speaker 1: who could actually win. It kind of works that way.

1449
01:25:17,479 --> 01:25:20,200
Speaker 1: How how much was it, I don't know how much

1450
01:25:20,200 --> 01:25:22,479
Speaker 1: you can actually talk about it. You probably contract like

1451
01:25:23,040 --> 01:25:24,880
Speaker 1: like a phone book. I don't know, my wife's an attorney.

1452
01:25:24,920 --> 01:25:26,120
Speaker 1: You want to need extra and find out what I

1453
01:25:26,120 --> 01:25:33,559
Speaker 1: can say, Well, no, legitimate meritocracy. No, So I had

1454
01:25:33,600 --> 01:25:37,400
Speaker 1: a lot through personality now and I've been honestly, I'm

1455
01:25:37,439 --> 01:25:39,280
Speaker 1: probably not supposed to say it, but I've been so

1456
01:25:39,400 --> 01:25:41,120
Speaker 1: vocal for so many years about it that I don't

1457
01:25:41,120 --> 01:25:44,960
Speaker 1: really give a ship. But yeah, it's an absolute point

1458
01:25:45,000 --> 01:25:47,519
Speaker 1: of fact. I mean, all you have to do is

1459
01:25:47,560 --> 01:25:50,080
Speaker 1: read the end credits where it says in very small

1460
01:25:50,120 --> 01:25:52,519
Speaker 1: print at the very end that the decision is made

1461
01:25:52,960 --> 01:25:57,120
Speaker 1: by the judges in consult with the producers. So that

1462
01:25:57,160 --> 01:25:58,840
Speaker 1: tells you all you need to know, right, what does that?

1463
01:25:59,160 --> 01:26:01,320
Speaker 1: Why do they have to tell you that? Because otherwise

1464
01:26:01,320 --> 01:26:04,720
Speaker 1: you'd go because people constantly go, why why that guy

1465
01:26:04,720 --> 01:26:07,559
Speaker 1: get sent home? Like I don't understand why do he lose? Yeah,

1466
01:26:07,600 --> 01:26:09,640
Speaker 1: because you get like a really good personnelity. You're not

1467
01:26:09,680 --> 01:26:12,120
Speaker 1: gonna send him home right away, No, but you will

1468
01:26:12,160 --> 01:26:14,920
Speaker 1: now because now the version of Top Chef is that

1469
01:26:15,000 --> 01:26:16,960
Speaker 1: people get kicked off and then have a chance to

1470
01:26:17,080 --> 01:26:19,600
Speaker 1: fight back to get back on the show. And so

1471
01:26:19,680 --> 01:26:22,400
Speaker 1: that makes for another wrinkle. So sometimes you kick off

1472
01:26:22,400 --> 01:26:24,439
Speaker 1: one of your best people on purpose so that you

1473
01:26:24,479 --> 01:26:27,960
Speaker 1: can watch them like demolish the other people in this

1474
01:26:28,040 --> 01:26:30,519
Speaker 1: sort of secondary competition and earn their way back on.

1475
01:26:31,520 --> 01:26:34,120
Speaker 1: It's very TV driven. I mean the problem is that

1476
01:26:34,200 --> 01:26:35,920
Speaker 1: what I like to tell people because they always say like,

1477
01:26:35,920 --> 01:26:39,679
Speaker 1: it's but it's reality TV. It is a scripted show

1478
01:26:40,360 --> 01:26:43,559
Speaker 1: where the contestants have not been shown the script. Basically,

1479
01:26:43,600 --> 01:26:46,200
Speaker 1: the way that it works, everybody else knows what's going on.

1480
01:26:46,680 --> 01:26:48,680
Speaker 1: You just have no idea what remember one a few

1481
01:26:48,760 --> 01:26:53,479
Speaker 1: years ago. The people that write scripted reality, we're kind

1482
01:26:53,479 --> 01:26:58,400
Speaker 1: of suing for credit, right for sure. And that's why, like,

1483
01:26:58,520 --> 01:27:01,480
Speaker 1: you know, both seasons I've been don't have won an Emmy.

1484
01:27:01,560 --> 01:27:04,120
Speaker 1: But I don't get an Emmy because I don't count

1485
01:27:04,160 --> 01:27:07,160
Speaker 1: in that, you know, despite the fact that they don't

1486
01:27:07,200 --> 01:27:09,840
Speaker 1: win an Emy without the people who are actually like participating.

1487
01:27:11,040 --> 01:27:14,920
Speaker 1: After my first book, UM Scavengers Guide to Cuisine came out,

1488
01:27:15,360 --> 01:27:18,360
Speaker 1: I entered into like the interview process to go on

1489
01:27:18,520 --> 01:27:24,559
Speaker 1: what was then a new show, which was Survivor UM.

1490
01:27:24,680 --> 01:27:29,280
Speaker 1: They quickly in the interviews. I didn't do it because

1491
01:27:29,280 --> 01:27:31,000
Speaker 1: it would have made it that like I basically couldn't

1492
01:27:31,040 --> 01:27:34,800
Speaker 1: have gone and done a book event without their permission. Um,

1493
01:27:34,840 --> 01:27:36,919
Speaker 1: I could have done a radio interview without their permission.

1494
01:27:38,760 --> 01:27:40,760
Speaker 1: The interview comes down to like how much are you

1495
01:27:40,800 --> 01:27:45,840
Speaker 1: willing to play ball here? Exactly? And they put it

1496
01:27:45,920 --> 01:27:48,519
Speaker 1: even like this. They put it like a let's say

1497
01:27:48,560 --> 01:27:55,920
Speaker 1: you liked someone, would you be willing to not like them?

1498
01:27:55,960 --> 01:27:59,040
Speaker 1: You know? And they never went on those scenarios pretty heavily.

1499
01:27:59,680 --> 01:28:02,760
Speaker 1: It's the same like I mean, and I and I'm

1500
01:28:02,800 --> 01:28:07,000
Speaker 1: notoriously not good at playing ball, and so it's like

1501
01:28:07,080 --> 01:28:08,840
Speaker 1: not a surprise that I've not won the show. I've

1502
01:28:08,920 --> 01:28:11,760
Speaker 1: I've been I've been back for the All Star. I mean,

1503
01:28:11,760 --> 01:28:14,360
Speaker 1: I've been a finalist every time. I've almost won every time.

1504
01:28:14,400 --> 01:28:16,680
Speaker 1: But I'm not ever going to win. And I know

1505
01:28:16,760 --> 01:28:18,800
Speaker 1: that going into it because I'm just completely unwilling to

1506
01:28:18,800 --> 01:28:21,879
Speaker 1: play ball. But I also like a person who believes

1507
01:28:21,880 --> 01:28:24,519
Speaker 1: in like standing by your principles, like on this last season,

1508
01:28:24,560 --> 01:28:26,760
Speaker 1: like I got myself kicked off because I refused to

1509
01:28:27,439 --> 01:28:30,840
Speaker 1: allow my teammates when I was the captain of the team,

1510
01:28:31,240 --> 01:28:32,880
Speaker 1: allow one of them to go down, because that's not

1511
01:28:32,920 --> 01:28:34,840
Speaker 1: the way it works. Like if you're the captain, like

1512
01:28:34,920 --> 01:28:36,439
Speaker 1: you go down with the ship, Like that's how it

1513
01:28:36,439 --> 01:28:39,200
Speaker 1: should work, Like because as I pointed out to them,

1514
01:28:39,240 --> 01:28:41,800
Speaker 1: like I have real people in real life who report

1515
01:28:41,840 --> 01:28:43,519
Speaker 1: to me, and they need to know that their leader

1516
01:28:43,600 --> 01:28:46,599
Speaker 1: is someone who is going to take like the fall

1517
01:28:46,680 --> 01:28:49,040
Speaker 1: if something bad happens, Like you don't throw the people

1518
01:28:49,080 --> 01:28:51,320
Speaker 1: who are your subordinates under the ball. You're still one

1519
01:28:51,360 --> 01:28:54,080
Speaker 1: of the fan favorites though, yeah, yeah, And so it's

1520
01:28:54,120 --> 01:28:55,519
Speaker 1: like it at the end of the day, it doesn't

1521
01:28:55,520 --> 01:28:59,360
Speaker 1: really matter that I haven't one quote unquote, because winning

1522
01:28:59,439 --> 01:29:01,720
Speaker 1: is really more are a function of the people who

1523
01:29:01,800 --> 01:29:04,800
Speaker 1: watch the show being invested in the success of your career.

1524
01:29:04,800 --> 01:29:07,839
Speaker 1: It doesn't really matter whether Bravo gives you the whatever

1525
01:29:07,960 --> 01:29:10,000
Speaker 1: title thing, at least in my mind it doesn't. So

1526
01:29:10,920 --> 01:29:13,040
Speaker 1: I may have told myself that I didn't win. You

1527
01:29:13,040 --> 01:29:16,200
Speaker 1: get a bigger paycheck if you win, you do accept

1528
01:29:16,240 --> 01:29:20,639
Speaker 1: it short term money versus long term money, Like I've

1529
01:29:20,640 --> 01:29:23,960
Speaker 1: done just fine off of it without having without having

1530
01:29:24,040 --> 01:29:26,759
Speaker 1: won the actual like and plus, if you win the prize,

1531
01:29:26,960 --> 01:29:28,760
Speaker 1: it's actually kind of like what you're talking about, Steve.

1532
01:29:28,760 --> 01:29:32,400
Speaker 1: So if you win win, you have a really like

1533
01:29:33,120 --> 01:29:36,400
Speaker 1: unbearable contract with them for a very long time where yeah,

1534
01:29:36,400 --> 01:29:37,840
Speaker 1: if you write a book, they get a big chunk

1535
01:29:37,840 --> 01:29:40,280
Speaker 1: of it. If you you know, you do another show,

1536
01:29:40,320 --> 01:29:42,960
Speaker 1: they get a piece of that action. Like if you

1537
01:29:43,040 --> 01:29:46,080
Speaker 1: are a finalist and you win second place, they got

1538
01:29:46,120 --> 01:29:48,240
Speaker 1: nothing over you. And by the way, you get the

1539
01:29:48,280 --> 01:29:51,040
Speaker 1: same book deals in the same TV show opportunities, so

1540
01:29:51,479 --> 01:29:53,320
Speaker 1: you'd be better off. I mean, it's kind of the

1541
01:29:53,360 --> 01:29:55,800
Speaker 1: joke amongst contestants is that the real strategy is to

1542
01:29:55,840 --> 01:29:58,559
Speaker 1: try to is to be in every episode, make it

1543
01:29:58,600 --> 01:30:00,280
Speaker 1: to the end, and not win because you end up

1544
01:30:00,280 --> 01:30:03,080
Speaker 1: with a better long term situation. It's like how everybody

1545
01:30:03,080 --> 01:30:05,040
Speaker 1: who's been the runner up on American Idol has like

1546
01:30:05,080 --> 01:30:15,080
Speaker 1: thrived necessarily never mind, no, please, It's like that show Bachelor, Bachelor.

1547
01:30:15,120 --> 01:30:16,639
Speaker 1: You don't I actually want to win because you want

1548
01:30:16,640 --> 01:30:18,880
Speaker 1: to be the bachelor on the next one, right, Yeah,

1549
01:30:19,000 --> 01:30:21,720
Speaker 1: you want to be the one dating everybody. Yeah, I

1550
01:30:21,720 --> 01:30:23,880
Speaker 1: didn't know that. I didn't know that the degree to

1551
01:30:23,960 --> 01:30:27,280
Speaker 1: which second place could pay off. Yeah, exactly. First loser

1552
01:30:27,320 --> 01:30:30,080
Speaker 1: is chef. If you come in second place, you have

1553
01:30:30,160 --> 01:30:34,240
Speaker 1: more freedom's so like beyond and you still get famous.

1554
01:30:34,520 --> 01:30:37,479
Speaker 1: Yeah yeah, I mean honestly, you can come and like

1555
01:30:37,560 --> 01:30:39,760
Speaker 1: fit their sixth If people like you when you win

1556
01:30:39,920 --> 01:30:42,720
Speaker 1: fan Favorite, which is a secondary sort of voting, like

1557
01:30:42,760 --> 01:30:45,639
Speaker 1: the public votes on a competition, that's better than winning

1558
01:30:45,680 --> 01:30:48,880
Speaker 1: the show because six months after the show is over,

1559
01:30:48,880 --> 01:30:51,160
Speaker 1: no one remembers who one. They just remember who they liked.

1560
01:30:51,479 --> 01:30:55,320
Speaker 1: Yeah that's true. So yeah, that's how you end up

1561
01:30:55,320 --> 01:30:58,280
Speaker 1: taking ten photos in the montana al works like on

1562
01:30:58,320 --> 01:31:03,839
Speaker 1: a Sunday night with random people only, of which maybe

1563
01:31:02,680 --> 01:31:08,040
Speaker 1: to look Steve. My strategy has always been to to

1564
01:31:08,280 --> 01:31:11,759
Speaker 1: lose by a narrow margin. Kevin glass be either wins

1565
01:31:11,960 --> 01:31:14,439
Speaker 1: or equits because the competition is unfair. That is it,

1566
01:31:15,280 --> 01:31:18,120
Speaker 1: Uh that you grew up hunting fishing? Yeah, because you

1567
01:31:18,160 --> 01:31:20,880
Speaker 1: guys used to eat raw hearts. Yeah. Like, so the

1568
01:31:21,000 --> 01:31:23,200
Speaker 1: joke for years was that my dad and his brothers

1569
01:31:23,439 --> 01:31:25,679
Speaker 1: only had jobs because they had to that like really,

1570
01:31:25,720 --> 01:31:28,880
Speaker 1: all they ever really wanted to do was hunting fish. Um.

1571
01:31:28,920 --> 01:31:30,400
Speaker 1: And so when I was a kid, we ate a

1572
01:31:30,400 --> 01:31:32,439
Speaker 1: lot of game. And I didn't realize this at the time,

1573
01:31:32,439 --> 01:31:34,040
Speaker 1: but we ate it because we didn't have any money,

1574
01:31:34,160 --> 01:31:35,800
Speaker 1: and so it was like that was just like putting

1575
01:31:35,800 --> 01:31:39,479
Speaker 1: food on the table. So it wasn't something that was um,

1576
01:31:39,680 --> 01:31:42,640
Speaker 1: we didn't celebrate it in many respects, it was just

1577
01:31:42,720 --> 01:31:46,160
Speaker 1: you did it. Like I mean, I attribute the fact

1578
01:31:46,200 --> 01:31:48,040
Speaker 1: that I'm a super early riser to the fact that

1579
01:31:48,160 --> 01:31:51,439
Speaker 1: every single day from like middle school through high school,

1580
01:31:51,439 --> 01:31:54,840
Speaker 1: my dad woke me up to go hunting before going

1581
01:31:54,840 --> 01:31:56,599
Speaker 1: to school. So, like we would go in the morning

1582
01:31:56,640 --> 01:31:58,559
Speaker 1: and then he would drop me off his school. Where

1583
01:31:58,640 --> 01:32:02,679
Speaker 1: was this in Georgia? Um? And what kind of stuff

1584
01:32:02,720 --> 01:32:04,759
Speaker 1: did you guys hunting fish for? I mean, so tons

1585
01:32:04,760 --> 01:32:09,200
Speaker 1: of white tail obviously. Uh, my dad loves bluegill, loves them.

1586
01:32:09,320 --> 01:32:12,240
Speaker 1: He thinks they are literally could quote my dad the

1587
01:32:12,280 --> 01:32:15,880
Speaker 1: finest fish there is. We've had this debate many times.

1588
01:32:15,880 --> 01:32:17,439
Speaker 1: Everyone like they're good, Dad. I don't know if they're

1589
01:32:17,439 --> 01:32:20,839
Speaker 1: the finest fish there is. But um, you know, catfish, bluegill,

1590
01:32:21,120 --> 01:32:24,120
Speaker 1: white tail, some turkey, a lot of upland birds there

1591
01:32:24,120 --> 01:32:25,960
Speaker 1: there were a lot more back then. There were just

1592
01:32:26,000 --> 01:32:28,360
Speaker 1: a lot more quail. Um you could actually just you

1593
01:32:28,360 --> 01:32:31,640
Speaker 1: could walk aheadgerow and and you know, flush coves and

1594
01:32:31,640 --> 01:32:36,080
Speaker 1: shoot him. So nowadays that's really not super doable. Um.

1595
01:32:36,120 --> 01:32:39,280
Speaker 1: And then one of his brothers has always been, even

1596
01:32:39,320 --> 01:32:42,320
Speaker 1: though he's from the same place obviously, has been really

1597
01:32:42,439 --> 01:32:44,519
Speaker 1: enamored with western hunting his whole life. And so I

1598
01:32:44,560 --> 01:32:47,439
Speaker 1: started hunting with him early on and going out west

1599
01:32:47,479 --> 01:32:49,400
Speaker 1: and hunting, and so we would travel every year to

1600
01:32:49,400 --> 01:32:51,960
Speaker 1: a different state and hunt a different species. So with

1601
01:32:52,040 --> 01:32:54,120
Speaker 1: your dad's brought with my dad, with my uncle Billy

1602
01:32:54,400 --> 01:32:56,360
Speaker 1: and so, and he's still got kind of to this

1603
01:32:56,479 --> 01:32:59,040
Speaker 1: day my hunting partner. Um. As a matter of fact,

1604
01:32:59,040 --> 01:33:02,439
Speaker 1: we were supposed to hunt all sheep together um in

1605
01:33:02,479 --> 01:33:04,400
Speaker 1: a little less than a month in Alaska, but now

1606
01:33:04,439 --> 01:33:06,679
Speaker 1: I can't get so unfortunately he's going by himself, which

1607
01:33:06,720 --> 01:33:09,479
Speaker 1: is I'm not super keen on the fact he's getting

1608
01:33:09,520 --> 01:33:11,240
Speaker 1: up there in age that's going to be this might

1609
01:33:11,280 --> 01:33:13,920
Speaker 1: be his last to rob Uncle Billy down. Yeah, I

1610
01:33:13,960 --> 01:33:16,519
Speaker 1: am totally Yeah, I have this stupid hernia that I

1611
01:33:16,560 --> 01:33:20,360
Speaker 1: can't I can't go, do you know. I don't know

1612
01:33:20,360 --> 01:33:22,439
Speaker 1: if you heard. We did an interview with Kimmy Werner.

1613
01:33:23,240 --> 01:33:25,840
Speaker 1: She's a pretty well known spear spearfish from Hawaii, and

1614
01:33:25,880 --> 01:33:30,120
Speaker 1: we're talking about her early formative years and she explained that, uh,

1615
01:33:31,000 --> 01:33:34,840
Speaker 1: her dad's spearfish because they were broke, and she went

1616
01:33:34,880 --> 01:33:37,360
Speaker 1: with because he didn't have anywhere to put her. Yeah. Yeah,

1617
01:33:37,680 --> 01:33:40,719
Speaker 1: I mean like romanticize if she's like no the minute

1618
01:33:40,760 --> 01:33:43,640
Speaker 1: he wand up doing well financially, never spearfish together. Well.

1619
01:33:43,640 --> 01:33:45,880
Speaker 1: So I was talking to somebody a couple of days

1620
01:33:45,880 --> 01:33:49,400
Speaker 1: ago about pistol hunting and they have just gotten into it,

1621
01:33:49,720 --> 01:33:51,120
Speaker 1: and I said, oh, yeah, I grew up doing that

1622
01:33:51,120 --> 01:33:52,920
Speaker 1: a lot. And they were like, really pistol hunting and

1623
01:33:52,920 --> 01:33:54,360
Speaker 1: I was like, yeah, my dad hunted with a pistol,

1624
01:33:54,400 --> 01:33:57,479
Speaker 1: like almost exclusively for white tail, and they were like, wow,

1625
01:33:57,520 --> 01:33:59,200
Speaker 1: that's so cool. And I was like it was a

1626
01:33:59,240 --> 01:34:02,040
Speaker 1: function of the cast of ammunition, like uh, my dad

1627
01:34:02,080 --> 01:34:04,759
Speaker 1: hunted with a pistol because he had more expendable pistol

1628
01:34:04,760 --> 01:34:08,200
Speaker 1: ammunition than he could afford. Never hunted. I don't think

1629
01:34:08,200 --> 01:34:10,160
Speaker 1: my dad has ever owned a rifle that wasn't a

1630
01:34:10,240 --> 01:34:11,800
Speaker 1: thirty thirty, to be honest with you. And it was

1631
01:34:11,800 --> 01:34:15,600
Speaker 1: an inherited gun that I now have, so uh, you know,

1632
01:34:15,600 --> 01:34:18,799
Speaker 1: it was like that cost function like factored in really heavily.

1633
01:34:18,840 --> 01:34:21,720
Speaker 1: It wasn't a romantic thing. And my dad actually, at

1634
01:34:21,720 --> 01:34:23,559
Speaker 1: this point now because my parents were retired and are

1635
01:34:23,600 --> 01:34:25,960
Speaker 1: better off financially, he almost never hunts. He'll go bird

1636
01:34:26,040 --> 01:34:28,679
Speaker 1: hunting with me on occasion, but you know, as he says,

1637
01:34:28,720 --> 01:34:30,639
Speaker 1: he's like, I'm tired of like I spent too many

1638
01:34:30,680 --> 01:34:32,479
Speaker 1: days cold, Like I'm good now we have heat in

1639
01:34:32,479 --> 01:34:34,320
Speaker 1: the house. Now I'm fine, Like I'll just stay here.

1640
01:34:34,520 --> 01:34:37,200
Speaker 1: So it's a very different approach, Whereas I'm still very

1641
01:34:37,280 --> 01:34:38,920
Speaker 1: much in love with it because I think I always

1642
01:34:38,960 --> 01:34:42,360
Speaker 1: connected to it on a different level. But that was

1643
01:34:42,400 --> 01:34:45,280
Speaker 1: probably because I didn't know we were out there trying

1644
01:34:45,280 --> 01:34:48,800
Speaker 1: to just have food. Like how did you wind up

1645
01:34:48,920 --> 01:34:52,759
Speaker 1: going from those experiences into commercial cooking in a really

1646
01:34:53,040 --> 01:34:56,640
Speaker 1: weird path? Like? Um, though, my first job ever was

1647
01:34:56,720 --> 01:34:58,760
Speaker 1: at the only restaurant in my small town, which was

1648
01:34:58,760 --> 01:35:01,200
Speaker 1: called the Chicken Coop. So we made fried chicken and

1649
01:35:01,240 --> 01:35:05,040
Speaker 1: buffalo wings, um, which are still two of my favorite foods. Um.

1650
01:35:05,200 --> 01:35:09,080
Speaker 1: What town was Locust Grove, Georgia. There's not a single

1651
01:35:09,120 --> 01:35:11,040
Speaker 1: locust tree available, by the way, in case you're cure

1652
01:35:13,080 --> 01:35:15,320
Speaker 1: this is yet. This is a very theoretical idea, Like

1653
01:35:15,360 --> 01:35:17,200
Speaker 1: I think they liked that name, but I've yet to

1654
01:35:17,200 --> 01:35:20,880
Speaker 1: see a locus tree in that part of the country. UM.

1655
01:35:21,040 --> 01:35:24,120
Speaker 1: So yeah, we had this tiny little restaurant and UM.

1656
01:35:24,160 --> 01:35:26,080
Speaker 1: I applied for a job there and I got a

1657
01:35:26,160 --> 01:35:27,880
Speaker 1: job as a cook, and then about I don't know,

1658
01:35:27,920 --> 01:35:29,760
Speaker 1: three weeks later, I was made the manager, which is

1659
01:35:29,760 --> 01:35:32,360
Speaker 1: a terrible idea. Don't alot of fifteen year will be

1660
01:35:32,400 --> 01:35:35,960
Speaker 1: the manager of anything like I would just Yeah, this

1661
01:35:36,080 --> 01:35:38,320
Speaker 1: was in So I just came up with a system

1662
01:35:38,320 --> 01:35:40,880
Speaker 1: where I would play punk rock as loud as possible

1663
01:35:41,240 --> 01:35:43,000
Speaker 1: and then leave a sheet of paper on the counter

1664
01:35:43,040 --> 01:35:45,639
Speaker 1: that said I'm not listening, write your order down. Um.

1665
01:35:45,720 --> 01:35:47,400
Speaker 1: And so that's how I ran it for a while.

1666
01:35:48,200 --> 01:35:50,960
Speaker 1: I got fired, shockingly, um from that job. I've actually

1667
01:35:50,960 --> 01:35:54,000
Speaker 1: been fired for almost every job I've ever had. Um.

1668
01:35:54,040 --> 01:35:57,800
Speaker 1: I think we discussed this with the not playing ball part. Yeah,

1669
01:35:57,960 --> 01:36:00,760
Speaker 1: but uh, I did that, loved it. And then I

1670
01:36:00,800 --> 01:36:03,320
Speaker 1: actually went to college like the kitchen app Yeah, I

1671
01:36:03,400 --> 01:36:05,760
Speaker 1: just liked it. It It was like pirate ship mentality, you know.

1672
01:36:06,000 --> 01:36:08,800
Speaker 1: So um and then I went to college for something

1673
01:36:08,920 --> 01:36:11,920
Speaker 1: very different. Um, and it just wasn't my cup of tea.

1674
01:36:12,000 --> 01:36:13,800
Speaker 1: You know. It was like a more academic path. That's

1675
01:36:13,840 --> 01:36:16,120
Speaker 1: what my parents wanted for me. Again. They really wanted

1676
01:36:16,160 --> 01:36:19,040
Speaker 1: me to sort of break this cycle of poverty that

1677
01:36:19,080 --> 01:36:21,680
Speaker 1: my family has been in forever because they're all just

1678
01:36:21,960 --> 01:36:24,479
Speaker 1: mountain folk, you know, so that's just what they do.

1679
01:36:25,000 --> 01:36:26,559
Speaker 1: None of them have ever, I don't. I mean, my

1680
01:36:26,560 --> 01:36:29,880
Speaker 1: parents didn't graduate high school. So um. So when I

1681
01:36:29,920 --> 01:36:32,160
Speaker 1: was accepted to make us proud, yeah, I mean I

1682
01:36:32,200 --> 01:36:34,760
Speaker 1: was accepted to m I T for nuclear engineering and

1683
01:36:34,760 --> 01:36:37,040
Speaker 1: that was the path that I took, and so it

1684
01:36:37,160 --> 01:36:39,920
Speaker 1: was like, yeah, still the only person from I think

1685
01:36:39,960 --> 01:36:42,400
Speaker 1: my county that I grew up in that has been

1686
01:36:42,439 --> 01:36:45,679
Speaker 1: accepted that school. So um huh. But it just wasn't

1687
01:36:45,680 --> 01:36:48,800
Speaker 1: my thing. Did you have like a I don't know,

1688
01:36:49,520 --> 01:36:53,360
Speaker 1: like uh proclivity for nuclear engineering or well. So the

1689
01:36:53,400 --> 01:36:55,000
Speaker 1: way it came up was that I did a science

1690
01:36:55,000 --> 01:36:57,080
Speaker 1: fair project when I was in ninth grade where I

1691
01:36:57,080 --> 01:37:01,400
Speaker 1: was attempting to prove that you could contain nuclear fusion

1692
01:37:01,400 --> 01:37:04,000
Speaker 1: inside a magnetic field if you could alter the Doppler effect.

1693
01:37:04,960 --> 01:37:08,040
Speaker 1: So that's that's how that happened, knows Your science project

1694
01:37:08,160 --> 01:37:10,240
Speaker 1: was my science for a project, my ninth grade science

1695
01:37:10,280 --> 01:37:14,880
Speaker 1: for a project. So I cooked in school. That's all

1696
01:37:14,920 --> 01:37:17,280
Speaker 1: I really wanted to do. I decided that that wasn't

1697
01:37:17,280 --> 01:37:18,639
Speaker 1: the right path. To all my parents, I was gonna

1698
01:37:18,640 --> 01:37:21,800
Speaker 1: get a culinary school, um, and I thought for sure

1699
01:37:21,840 --> 01:37:23,439
Speaker 1: I was like going to break their heart. But my

1700
01:37:23,479 --> 01:37:25,200
Speaker 1: mom was Actually, my mom was really cool. She said

1701
01:37:25,200 --> 01:37:27,200
Speaker 1: that she was glad that I've realized what I was

1702
01:37:27,200 --> 01:37:29,720
Speaker 1: meant to do in my life. Um, before I had

1703
01:37:29,720 --> 01:37:32,200
Speaker 1: wasted a great deal of it doing something else. And

1704
01:37:32,200 --> 01:37:34,040
Speaker 1: that's what. And then I just moved into the food world.

1705
01:37:34,040 --> 01:37:36,439
Speaker 1: And then that was it, like and it was like, honestly,

1706
01:37:36,479 --> 01:37:38,759
Speaker 1: the food I grew up with, like the super southern cooking,

1707
01:37:38,760 --> 01:37:41,160
Speaker 1: didn't really factor into my stuff in the early days.

1708
01:37:41,439 --> 01:37:44,599
Speaker 1: It was much more than like really meticulous, methodical fine

1709
01:37:44,600 --> 01:37:47,960
Speaker 1: dining that I learned working. It wasn't actually until the

1710
01:37:47,960 --> 01:37:49,880
Speaker 1: first season of Top Cheft that kind of came back

1711
01:37:49,920 --> 01:37:52,160
Speaker 1: because when you show up for Top Chef, you can't

1712
01:37:52,200 --> 01:37:55,479
Speaker 1: bring any recipes. Um. You have no access to books

1713
01:37:55,560 --> 01:37:57,320
Speaker 1: or magazines or the Internet or anything, so you have

1714
01:37:57,360 --> 01:38:00,880
Speaker 1: to remember everything and so you're you're just thrown to

1715
01:38:00,920 --> 01:38:04,920
Speaker 1: the wolves kind of except the killer wolves um and

1716
01:38:05,120 --> 01:38:08,640
Speaker 1: uh not yeah yeah, not the soft wolves like the

1717
01:38:08,920 --> 01:38:11,760
Speaker 1: bad ones um. And so you just have to cook

1718
01:38:11,760 --> 01:38:14,280
Speaker 1: from instinct. And all of a sudden, all this food

1719
01:38:14,280 --> 01:38:16,400
Speaker 1: that I started cooking on the show looked nothing like

1720
01:38:16,479 --> 01:38:19,120
Speaker 1: what I did professionally, and it was all this sort

1721
01:38:19,160 --> 01:38:23,200
Speaker 1: of modernized version of southern like home style. So yeah,

1722
01:38:23,280 --> 01:38:25,920
Speaker 1: for sure, like everyone thought that was my signature style

1723
01:38:25,920 --> 01:38:28,000
Speaker 1: of cooking, but I didn't know it was my signature

1724
01:38:28,040 --> 01:38:30,280
Speaker 1: style until I was there. Just what came to mind,

1725
01:38:30,360 --> 01:38:31,840
Speaker 1: just what I thought of when they went you have

1726
01:38:31,920 --> 01:38:33,880
Speaker 1: two minutes to come up with something, and it was like, OK,

1727
01:38:34,120 --> 01:38:36,439
Speaker 1: I'll make this, And then that's what happened. And so

1728
01:38:37,080 --> 01:38:40,200
Speaker 1: I came home from that and kind of completely remade

1729
01:38:40,200 --> 01:38:42,400
Speaker 1: my career. And that's why now people think of me

1730
01:38:42,439 --> 01:38:45,000
Speaker 1: as that, like, you know, that southern guy, when really

1731
01:38:45,080 --> 01:38:48,000
Speaker 1: none of my literally none of my professional training is

1732
01:38:48,000 --> 01:38:50,280
Speaker 1: in that at all. That's just the food I had

1733
01:38:50,280 --> 01:39:04,200
Speaker 1: as a kid. Are there culinary schools that teach Southern cooking, Well,

1734
01:39:04,240 --> 01:39:07,240
Speaker 1: there's nowadays. Like Southern food kind of hit a renaissance

1735
01:39:07,240 --> 01:39:09,600
Speaker 1: in like the mid two thousands where it was like

1736
01:39:09,960 --> 01:39:12,240
Speaker 1: people really got excited about it and you started seeing

1737
01:39:12,680 --> 01:39:15,559
Speaker 1: you know, fancy Southern places popping up in Manhattan and

1738
01:39:15,600 --> 01:39:18,320
Speaker 1: then Los Angeles and stuff, and so there were chefs

1739
01:39:18,360 --> 01:39:21,360
Speaker 1: who really sort of clung to that modern Southern as

1740
01:39:21,400 --> 01:39:23,800
Speaker 1: their style as they're kind of like you would say,

1741
01:39:23,800 --> 01:39:26,200
Speaker 1: I I do Italian food. People say I do modern Southern,

1742
01:39:26,240 --> 01:39:29,440
Speaker 1: Like I've never said that. I don't. I just American,

1743
01:39:29,520 --> 01:39:31,240
Speaker 1: Like I don't know, Like it's because I don't really

1744
01:39:32,120 --> 01:39:33,840
Speaker 1: that's not how I think of the way that I cook,

1745
01:39:33,960 --> 01:39:36,640
Speaker 1: Like I think everything is. I get to like, I

1746
01:39:36,680 --> 01:39:39,160
Speaker 1: like using the word American cuisine because in my mind,

1747
01:39:39,160 --> 01:39:42,320
Speaker 1: American cuisine, because of how diverse our country is, means

1748
01:39:42,360 --> 01:39:45,320
Speaker 1: that you're inspired by a lot of different food. You know,

1749
01:39:45,360 --> 01:39:47,879
Speaker 1: you don't have to pigeon hole yourself into a singular

1750
01:39:47,920 --> 01:39:50,680
Speaker 1: sort of you know, a particular vernacular, whereas if you

1751
01:39:50,720 --> 01:39:53,799
Speaker 1: said I make Roman food, like it's got some pretty

1752
01:39:53,800 --> 01:39:56,879
Speaker 1: strong walls around that statement. That means something very particular.

1753
01:39:57,840 --> 01:40:00,960
Speaker 1: So I like the more nebulous idea of American cookery.

1754
01:40:01,040 --> 01:40:03,920
Speaker 1: But yeah, I guess I think I get labeled modern Southern,

1755
01:40:04,560 --> 01:40:06,599
Speaker 1: and I don't mind that. I mean, I consider what

1756
01:40:06,640 --> 01:40:09,679
Speaker 1: we do pretty modern, and my restaurants are in the South,

1757
01:40:09,720 --> 01:40:12,800
Speaker 1: So I suppose that makes sense. What what Like, I

1758
01:40:13,200 --> 01:40:14,519
Speaker 1: know it, but I don't know it like I know

1759
01:40:14,600 --> 01:40:17,000
Speaker 1: in my I can imagine if I can't articulate it.

1760
01:40:17,280 --> 01:40:20,479
Speaker 1: What makes Southern food southern? Oh man, this is a

1761
01:40:20,520 --> 01:40:24,639
Speaker 1: whole separate podcast here. Um, did you know you know? Uh,

1762
01:40:25,439 --> 01:40:26,960
Speaker 1: we haven't talked with us in forever. But there's a

1763
01:40:27,000 --> 01:40:33,360
Speaker 1: really great This guy wrote this piece about what makes

1764
01:40:33,360 --> 01:40:37,040
Speaker 1: Southern literature Southern literature, Like when Southern literature became a

1765
01:40:37,080 --> 01:40:39,280
Speaker 1: thing and people would study Southern literature, and how hard

1766
01:40:39,280 --> 01:40:41,880
Speaker 1: it was to define like who's a Southern writer or not.

1767
01:40:42,840 --> 01:40:44,599
Speaker 1: He came up with this thing that if you read

1768
01:40:44,680 --> 01:40:48,679
Speaker 1: it and you can find a dead mule, it's southern.

1769
01:40:48,840 --> 01:40:51,839
Speaker 1: Ye seems fair. And he goes through the whole canon

1770
01:40:52,080 --> 01:40:54,520
Speaker 1: of Southern literature of things that like all the scholars

1771
01:40:54,520 --> 01:40:56,720
Speaker 1: and academics would like, when you take Southern literature, you

1772
01:40:56,720 --> 01:40:59,040
Speaker 1: study Southern literature, he goes through the whole canyon. There's

1773
01:40:59,120 --> 01:41:01,559
Speaker 1: always a dead mule. Every Faulkner book has a dead mule.

1774
01:41:01,640 --> 01:41:05,840
Speaker 1: There's always a dead mule, Court McCarthy because you know,

1775
01:41:05,880 --> 01:41:08,040
Speaker 1: he was writing from the South, while like always a

1776
01:41:08,080 --> 01:41:10,920
Speaker 1: dead mule, Faultner, always a dead mule, must be where

1777
01:41:10,920 --> 01:41:13,800
Speaker 1: I like those guys. Yeah, it's amazing, man, you go through.

1778
01:41:13,840 --> 01:41:16,120
Speaker 1: It's like a very good way to tell. But in

1779
01:41:16,160 --> 01:41:19,120
Speaker 1: Southern cooking, well it's a dead mule, no, And it's

1780
01:41:19,160 --> 01:41:23,200
Speaker 1: and honestly like dead pig. Yeah exactly, there you go. Um. Yeah,

1781
01:41:23,200 --> 01:41:26,880
Speaker 1: Southern cooking is interesting because it's a super microregional like

1782
01:41:27,000 --> 01:41:29,400
Speaker 1: style of cooking. So like it's really hard to lump

1783
01:41:29,439 --> 01:41:32,439
Speaker 1: everything in the South is being the same because you know,

1784
01:41:32,479 --> 01:41:34,679
Speaker 1: the food in Texas is completely different than the food

1785
01:41:34,720 --> 01:41:39,080
Speaker 1: where I'm from. The food in Louisiana's different teas right exactly,

1786
01:41:39,080 --> 01:41:41,200
Speaker 1: And most Texans don't, but people who don't live and

1787
01:41:41,320 --> 01:41:44,360
Speaker 1: who don't live in that part of the country absolutely

1788
01:41:44,439 --> 01:41:47,200
Speaker 1: lump Texas in because they think of they think of

1789
01:41:47,240 --> 01:41:49,360
Speaker 1: like everything that was in the Confederacy and that's the South,

1790
01:41:49,439 --> 01:41:51,960
Speaker 1: you know, So that's kind of the way people define it.

1791
01:41:51,960 --> 01:41:54,800
Speaker 1: But in reality, even in my home state, there's two

1792
01:41:54,880 --> 01:41:58,599
Speaker 1: distinctive styles of food. There's the Appalachian cookery and there's

1793
01:41:58,640 --> 01:42:01,320
Speaker 1: the low country cookery, and they couldn't be anymore different

1794
01:42:01,320 --> 01:42:04,840
Speaker 1: from each other. And so you know, um, so, so

1795
01:42:04,840 --> 01:42:06,360
Speaker 1: you guys are at the tail So you grew up

1796
01:42:06,400 --> 01:42:08,519
Speaker 1: near like the tail end of the Appalachian Trail kind

1797
01:42:08,520 --> 01:42:10,680
Speaker 1: of yeah, yeah, exactly, Like the tail end of the

1798
01:42:10,760 --> 01:42:14,000
Speaker 1: Appalachian Trail is like, god, I don't know, maybe ten

1799
01:42:14,080 --> 01:42:16,680
Speaker 1: miles from where my grandparents house was or something like.

1800
01:42:16,760 --> 01:42:20,679
Speaker 1: So yeah, and that cooking is different than coastal for sure. Yeah,

1801
01:42:20,720 --> 01:42:23,599
Speaker 1: because like where I'm from, like that Appalachian style cookery.

1802
01:42:23,640 --> 01:42:25,920
Speaker 1: Clay Nucom and I were talking about this the other day,

1803
01:42:26,040 --> 01:42:27,880
Speaker 1: like over slack. We were just chatting back and forth

1804
01:42:27,880 --> 01:42:32,439
Speaker 1: about it and like understanding it's like the only thing

1805
01:42:32,479 --> 01:42:34,920
Speaker 1: that made your day better for those people was the

1806
01:42:34,920 --> 01:42:36,880
Speaker 1: food they were eating. And so I think that the

1807
01:42:36,960 --> 01:42:39,360
Speaker 1: style of the food was always meant to be incredibly

1808
01:42:39,360 --> 01:42:41,680
Speaker 1: satisfying because it was kind of like that was the

1809
01:42:41,760 --> 01:42:43,639
Speaker 1: high point of the day. But you had to spend

1810
01:42:43,640 --> 01:42:47,559
Speaker 1: a lot of work transforming really pedestrian ingredients into things

1811
01:42:47,640 --> 01:42:50,600
Speaker 1: that were really crave able. And delicious, and so I

1812
01:42:50,640 --> 01:42:53,240
Speaker 1: think that's why the style is the way that it is.

1813
01:42:53,280 --> 01:42:55,680
Speaker 1: You know, you see the utilization of meat products in

1814
01:42:55,760 --> 01:42:57,639
Speaker 1: almost everything, but not a lot of meat. You don't

1815
01:42:57,680 --> 01:42:59,519
Speaker 1: actually eat a lot of meat in the South. That's

1816
01:42:59,520 --> 01:43:04,080
Speaker 1: another sort of missing and that's interesting man, like um,

1817
01:43:04,479 --> 01:43:07,560
Speaker 1: flavoring things with or like having like pork belly and

1818
01:43:07,960 --> 01:43:13,040
Speaker 1: with yeah, exactly, like taking collars yet taking collars and

1819
01:43:13,080 --> 01:43:16,400
Speaker 1: having like a little meatingness to the exactly exactly, because

1820
01:43:16,400 --> 01:43:19,400
Speaker 1: you were working with largely what you could. It's subsistence,

1821
01:43:19,400 --> 01:43:21,719
Speaker 1: you know, So it's what could you grow or trade

1822
01:43:21,760 --> 01:43:23,760
Speaker 1: your neighbor for For the most part, I don't think

1823
01:43:23,760 --> 01:43:26,200
Speaker 1: pork and beans in the Southern. But it's yeah, well

1824
01:43:26,720 --> 01:43:31,040
Speaker 1: you're integrating it in in a satisfying way without needing volume. Yeah,

1825
01:43:31,040 --> 01:43:33,000
Speaker 1: exactly exactly. And so it's like, you know, when I

1826
01:43:33,000 --> 01:43:35,920
Speaker 1: grew up as a kid, like my grandmother, my granny,

1827
01:43:36,080 --> 01:43:38,600
Speaker 1: she cooked for the family, like the whole family like um,

1828
01:43:38,640 --> 01:43:41,599
Speaker 1: So my dad and all of his brothers all live

1829
01:43:41,640 --> 01:43:43,559
Speaker 1: on like sort of the same piece of land that

1830
01:43:43,640 --> 01:43:47,559
Speaker 1: surrounds my grandparents house, and so we ate breakfast, lunch,

1831
01:43:47,600 --> 01:43:50,240
Speaker 1: and dinner at my granny's house. Seven days a week,

1832
01:43:50,880 --> 01:43:52,920
Speaker 1: and it's like thirty thirty five of us give or

1833
01:43:52,960 --> 01:43:55,040
Speaker 1: take the eight there every single day. And she did

1834
01:43:55,040 --> 01:43:57,920
Speaker 1: all of the cooking, and so all the food either

1835
01:43:58,000 --> 01:44:00,360
Speaker 1: came from this big garden, which we I mean, we

1836
01:44:00,400 --> 01:44:02,280
Speaker 1: called it a garden, but it was a hundred yard

1837
01:44:02,520 --> 01:44:06,400
Speaker 1: by fifty yard field, so it's really big. Um. Everybody

1838
01:44:06,439 --> 01:44:09,720
Speaker 1: contributed to helping plant and harvest it and pick and

1839
01:44:09,760 --> 01:44:11,840
Speaker 1: do all that kind of stuff. Um. And then she

1840
01:44:11,960 --> 01:44:13,720
Speaker 1: did all the cooking. And then like the meat that

1841
01:44:13,760 --> 01:44:15,439
Speaker 1: we got, for the most part, we would either it

1842
01:44:15,479 --> 01:44:17,880
Speaker 1: was either game and you know in fish that my

1843
01:44:17,960 --> 01:44:20,559
Speaker 1: dad and his brothers got, or with a neighbor who

1844
01:44:20,560 --> 01:44:23,080
Speaker 1: had pigs and then somebody had cattle. I don't know

1845
01:44:23,080 --> 01:44:24,760
Speaker 1: who it was, but we would I think we just

1846
01:44:24,840 --> 01:44:26,599
Speaker 1: trade and that's how we ended up with it. And

1847
01:44:26,640 --> 01:44:30,799
Speaker 1: so um. And so we had a lot more vegetables

1848
01:44:30,800 --> 01:44:33,400
Speaker 1: than meat, but meat was in every Like you there's

1849
01:44:33,439 --> 01:44:35,920
Speaker 1: some sort of meat product in almost everything, and it's

1850
01:44:36,000 --> 01:44:38,360
Speaker 1: usually they're just for flavor. Really, it's also there, as

1851
01:44:38,400 --> 01:44:42,800
Speaker 1: my granny pointed out, for calories, like because they would

1852
01:44:42,920 --> 01:44:44,519
Speaker 1: they were short on food a lot of the time,

1853
01:44:44,560 --> 01:44:46,800
Speaker 1: and so a really way to get the calorie count

1854
01:44:46,840 --> 01:44:49,160
Speaker 1: up really fast. You know, if all you have is

1855
01:44:49,520 --> 01:44:52,120
Speaker 1: you know, turnips or root bakers or something like that

1856
01:44:52,240 --> 01:44:54,679
Speaker 1: was to throw fat back into it when you cooked

1857
01:44:54,760 --> 01:44:56,400
Speaker 1: him so that the calorie count got up, you know,

1858
01:44:56,479 --> 01:44:59,040
Speaker 1: so that people didn't starve to death, because that was

1859
01:44:59,240 --> 01:45:01,200
Speaker 1: a real shoe in the mountains for a long time.

1860
01:45:02,080 --> 01:45:05,840
Speaker 1: With your restaurants, now do you do uh? I know

1861
01:45:05,880 --> 01:45:07,040
Speaker 1: you just said you're like, you don't think of it

1862
01:45:07,080 --> 01:45:10,679
Speaker 1: as Southern food, but would someone You know, if someone

1863
01:45:10,720 --> 01:45:15,400
Speaker 1: went down to see sort of your signature dishes from

1864
01:45:15,439 --> 01:45:18,920
Speaker 1: the North, where they be like, oh, it's Southern food. Well,

1865
01:45:18,920 --> 01:45:20,519
Speaker 1: I think it depends on which restaurant they went to,

1866
01:45:20,600 --> 01:45:22,519
Speaker 1: so I have I have five of them in Atlanta.

1867
01:45:22,840 --> 01:45:24,280
Speaker 1: If they went to gun Show, I don't know that

1868
01:45:24,280 --> 01:45:27,840
Speaker 1: they would recognize it as Southern because it's so it's

1869
01:45:27,920 --> 01:45:29,400
Speaker 1: it's a it's just a lot, like there's a lot

1870
01:45:29,400 --> 01:45:31,880
Speaker 1: going on there. But if you went to Revival, it

1871
01:45:32,040 --> 01:45:36,080
Speaker 1: is southern. It is like literally the the handwritten cookbooks

1872
01:45:36,080 --> 01:45:39,120
Speaker 1: of my two grandmothers translated into a restaurant format. So

1873
01:45:39,160 --> 01:45:41,559
Speaker 1: absolutely you would recognize that as Southern, and you would

1874
01:45:41,600 --> 01:45:44,240
Speaker 1: have dishes that maybe you hadn't had before you didn't

1875
01:45:44,280 --> 01:45:46,360
Speaker 1: think of like one that we're famous for in the spring,

1876
01:45:46,920 --> 01:45:49,960
Speaker 1: um dill grows wild all over that area, and so

1877
01:45:50,080 --> 01:45:52,640
Speaker 1: you know, the first early spring peace with tons of

1878
01:45:52,720 --> 01:45:54,920
Speaker 1: dial and I'm like tons and tons and people eat

1879
01:45:54,920 --> 01:45:56,200
Speaker 1: that and they go like, oh, that doesn't that's not

1880
01:45:56,200 --> 01:45:58,640
Speaker 1: Southern food. And you're like, it's very southern. It's just

1881
01:45:58,680 --> 01:46:01,080
Speaker 1: not what you're thinking of. You think of fried chicken

1882
01:46:01,080 --> 01:46:03,880
Speaker 1: and macaroni and cheese. Macaroni and cheese isn't Southern. It's

1883
01:46:03,920 --> 01:46:06,600
Speaker 1: probably Midwestern. I think they would argue. Um, you know,

1884
01:46:06,640 --> 01:46:10,040
Speaker 1: food historians wise, fried chicken you could argue is Southern

1885
01:46:10,080 --> 01:46:13,280
Speaker 1: because it is originates in Scotland and came over with

1886
01:46:13,320 --> 01:46:16,960
Speaker 1: Scottish immigrants, much of whom we're clearly that's when you

1887
01:46:16,960 --> 01:46:18,840
Speaker 1: look at me, that's you know, that's the stock we're

1888
01:46:18,880 --> 01:46:23,800
Speaker 1: from here. Um. But Southern cooking in many respects looks

1889
01:46:23,800 --> 01:46:27,560
Speaker 1: more like Italian food because it's really driven by seasonality,

1890
01:46:27,640 --> 01:46:33,440
Speaker 1: hyper seasonality, hyper locality. And then um, you know, recipes

1891
01:46:33,479 --> 01:46:36,479
Speaker 1: being ultra flexible because you would never even if this

1892
01:46:36,560 --> 01:46:39,439
Speaker 1: thing says that it has tomatoes in it, you're not

1893
01:46:39,439 --> 01:46:41,760
Speaker 1: putting tomatoes in it if you don't have tomatoes in

1894
01:46:41,760 --> 01:46:43,320
Speaker 1: your garden, like you would just move on and do

1895
01:46:43,360 --> 01:46:45,599
Speaker 1: something different, or you'd modify it, and that that feels

1896
01:46:45,640 --> 01:46:47,960
Speaker 1: to me, having cooked all over the world, that feels

1897
01:46:47,960 --> 01:46:49,840
Speaker 1: a lot more like when you're cooking in Italy where

1898
01:46:49,880 --> 01:46:51,800
Speaker 1: they go, yeah, I know this says Borlotti beans, but

1899
01:46:51,800 --> 01:46:53,400
Speaker 1: we don't have Borlotti beans right now, so we're not

1900
01:46:53,439 --> 01:46:55,040
Speaker 1: going to go buy crappy ones to make it. We're

1901
01:46:55,040 --> 01:46:58,160
Speaker 1: gonna do it with this thing instead. Yeah, do you

1902
01:46:58,200 --> 01:47:04,240
Speaker 1: apply your science project mind to your cooking? Totally? And

1903
01:47:04,320 --> 01:47:06,960
Speaker 1: but in an almost unknown way. It happens all the

1904
01:47:06,960 --> 01:47:09,400
Speaker 1: time at work that someone will do something and they'll

1905
01:47:09,439 --> 01:47:11,080
Speaker 1: be like, I don't know why we got this result.

1906
01:47:11,080 --> 01:47:13,679
Speaker 1: And then I show up with like my invisible glasses

1907
01:47:13,680 --> 01:47:16,600
Speaker 1: and I like, here, here's whatitch going on like and

1908
01:47:16,600 --> 01:47:18,519
Speaker 1: then I give them like the science diet tribe on

1909
01:47:18,560 --> 01:47:23,320
Speaker 1: it um, without realizing that that the thing is I

1910
01:47:23,360 --> 01:47:28,360
Speaker 1: don't really like science e food. Um. It's a weird dichotomy.

1911
01:47:28,400 --> 01:47:30,960
Speaker 1: I like to completely understand what's taking place from a

1912
01:47:31,000 --> 01:47:33,760
Speaker 1: scientific level, but I think that if you cook that way,

1913
01:47:33,840 --> 01:47:37,599
Speaker 1: you make really lousy food. What's the word for like

1914
01:47:37,680 --> 01:47:41,000
Speaker 1: the you know, what is the discipline of the all

1915
01:47:41,040 --> 01:47:47,200
Speaker 1: the foam's modern gastronomy or molecular molecular destronomy into that. No.

1916
01:47:47,400 --> 01:47:49,599
Speaker 1: I mean though I just told you about transplutanomates, which

1917
01:47:49,640 --> 01:47:51,880
Speaker 1: comes directly from that world. You know, I think that

1918
01:47:52,040 --> 01:47:53,519
Speaker 1: some of those things, in my mind, they're all just

1919
01:47:53,560 --> 01:47:55,840
Speaker 1: another tool in the toolbox, you know What's like it's

1920
01:47:55,960 --> 01:47:58,600
Speaker 1: nice to have, you know, vacuum steelers these days, and

1921
01:47:58,640 --> 01:48:02,639
Speaker 1: emerging circulators. They're used for certain things. But my opinion

1922
01:48:02,680 --> 01:48:05,720
Speaker 1: is that if you conceptualize your food around the utilization

1923
01:48:05,760 --> 01:48:10,080
Speaker 1: of those things, you make some really cold and sterile things.

1924
01:48:10,240 --> 01:48:13,000
Speaker 1: If you, on the other hand, that's an interesting point

1925
01:48:13,040 --> 01:48:15,519
Speaker 1: like that, if you cook from a very soulful place

1926
01:48:15,800 --> 01:48:18,559
Speaker 1: where you feel a personal connection to everything that you make,

1927
01:48:19,000 --> 01:48:21,920
Speaker 1: but then can apply technique so that it's a better

1928
01:48:22,040 --> 01:48:25,120
Speaker 1: version of that that that usually produces pretty good results.

1929
01:48:26,439 --> 01:48:30,240
Speaker 1: Mm hmm. Yeah, man, that's a good point. I mean,

1930
01:48:30,280 --> 01:48:32,479
Speaker 1: you can deply that across the board to so many

1931
01:48:32,520 --> 01:48:34,840
Speaker 1: disciplines in this world. I mean, it's like it's the

1932
01:48:34,920 --> 01:48:37,000
Speaker 1: it's the people who nerd out on the hunting forums

1933
01:48:37,000 --> 01:48:39,080
Speaker 1: about all the technicalities of this, that and the other

1934
01:48:39,080 --> 01:48:42,160
Speaker 1: than the science behind things. But they've never bothered to

1935
01:48:42,240 --> 01:48:44,680
Speaker 1: like sit quietly in the woods and like try to

1936
01:48:44,720 --> 01:48:46,760
Speaker 1: sort of figure out what's going on around them, you know,

1937
01:48:47,240 --> 01:48:49,800
Speaker 1: I said, they're still lousy at hunting. Yeah, it's like

1938
01:48:49,840 --> 01:48:52,880
Speaker 1: reading the poems that you commings man, right, He's like

1939
01:48:52,880 --> 01:48:55,599
Speaker 1: he's not gonna use any upper cases or any punctuation ever,

1940
01:48:57,280 --> 01:49:01,600
Speaker 1: even if it would be used. He was like a

1941
01:49:01,640 --> 01:49:06,320
Speaker 1: modern souvid guy. Yeah, yeah, yeah, I like that. So

1942
01:49:06,400 --> 01:49:09,560
Speaker 1: what you're gonna you're working with us now a little bit? Yeah,

1943
01:49:09,960 --> 01:49:16,840
Speaker 1: why I was bored, I basically begged him. Yeah, talking

1944
01:49:16,840 --> 01:49:18,920
Speaker 1: about how you guys met, So Danielle, you kind of

1945
01:49:19,080 --> 01:49:22,160
Speaker 1: you kind of track them down. Yes, I'm working on

1946
01:49:22,200 --> 01:49:26,559
Speaker 1: a show for YouTube. It's a cooking show for Meat Eater,

1947
01:49:27,160 --> 01:49:32,559
Speaker 1: and it's a show that's basically wanting to explore different

1948
01:49:32,560 --> 01:49:35,240
Speaker 1: places in the US and different chefs who have um

1949
01:49:35,840 --> 01:49:41,320
Speaker 1: a very unique perspective chefs, right, yeah, Yeah, all of

1950
01:49:41,320 --> 01:49:46,439
Speaker 1: them are professional chefs and someone who has a unique

1951
01:49:46,439 --> 01:49:49,960
Speaker 1: perspective and a direct experience with what they're doing in

1952
01:49:50,000 --> 01:49:52,720
Speaker 1: the outdoors and with cooking and how that relates to

1953
01:49:52,720 --> 01:49:54,479
Speaker 1: each other. So I wanted to sort of tell the

1954
01:49:54,520 --> 01:49:57,000
Speaker 1: stories of who those chefs are, what it is that

1955
01:49:57,040 --> 01:50:01,439
Speaker 1: they're doing, um hunting, fishing, and then um, sort of

1956
01:50:01,439 --> 01:50:04,200
Speaker 1: the culture around that, because I think that's another part

1957
01:50:04,200 --> 01:50:06,920
Speaker 1: of something that we haven't really tapped a lot into

1958
01:50:07,000 --> 01:50:11,360
Speaker 1: with Meat Eater UM, is that there is definitely a

1959
01:50:11,520 --> 01:50:15,320
Speaker 1: culture surrounding the food. And like Kevin's story, it's not

1960
01:50:15,400 --> 01:50:20,840
Speaker 1: just that he grew up in Georgia hunting quail subsist

1961
01:50:21,040 --> 01:50:23,920
Speaker 1: subsistence hunting, but it's it's a huge part of the

1962
01:50:23,960 --> 01:50:27,800
Speaker 1: identity of what Georgia is. Um, there's a great conservation

1963
01:50:27,880 --> 01:50:29,960
Speaker 1: story there. I just think there was just a lot

1964
01:50:30,040 --> 01:50:33,200
Speaker 1: of it all wrapped up into one thing. So so yeah,

1965
01:50:33,240 --> 01:50:37,280
Speaker 1: I um uh messaged Kevin on Instagram like I want

1966
01:50:37,280 --> 01:50:40,000
Speaker 1: to do this cooking show and highlight you in Georgia

1967
01:50:40,080 --> 01:50:42,840
Speaker 1: and do some quail hunting. Um, that's kind of how

1968
01:50:42,880 --> 01:50:45,800
Speaker 1: it started. Yeah, Like so I followed Daniel. I think

1969
01:50:45,840 --> 01:50:47,800
Speaker 1: we followed each other on social media and it just

1970
01:50:47,960 --> 01:50:51,839
Speaker 1: that's how it came about. Yeah, it's precious. Tell everybody

1971
01:50:51,880 --> 01:50:59,280
Speaker 1: your Instagram handle Daniel Danielle p R E W E

1972
01:50:59,360 --> 01:51:03,160
Speaker 1: T T if you want to follower and be on

1973
01:51:03,240 --> 01:51:06,479
Speaker 1: her cook and show. I was super creative of mine

1974
01:51:06,479 --> 01:51:09,639
Speaker 1: as well. Chef Kevin Gillespie so that I wasn't confused

1975
01:51:09,680 --> 01:51:13,639
Speaker 1: with whatever other Kevin Gillespie somewhere. Yeah, I think there

1976
01:51:13,640 --> 01:51:16,120
Speaker 1: actually is a really famous, like comic book artist who

1977
01:51:16,120 --> 01:51:18,559
Speaker 1: has that same name. I've been because people constantly asked

1978
01:51:18,600 --> 01:51:20,840
Speaker 1: me about my drawings and I'm like, no, no, you

1979
01:51:20,840 --> 01:51:24,759
Speaker 1: don't want to see my drawings. Yeah, So I reached

1980
01:51:24,800 --> 01:51:28,920
Speaker 1: out and we filmed an episode in Georgia and I

1981
01:51:28,960 --> 01:51:32,160
Speaker 1: got to know him more and like them, Like I

1982
01:51:32,240 --> 01:51:34,439
Speaker 1: knew that we wanted. I wanted to like do more

1983
01:51:34,560 --> 01:51:37,320
Speaker 1: with you in regards to meat Eater, but like you

1984
01:51:37,439 --> 01:51:39,720
Speaker 1: kept saying like you're ready for this next chapter, and

1985
01:51:39,720 --> 01:51:41,439
Speaker 1: I'm like, I know what that next chapter is going

1986
01:51:41,479 --> 01:51:45,080
Speaker 1: to be. I've seen the future. Yeah, And then I

1987
01:51:45,120 --> 01:51:50,240
Speaker 1: went back talked to Katie and Tracy because like, we

1988
01:51:50,280 --> 01:51:53,920
Speaker 1: need to get this guy on board with me. Eater. Well, yeah,

1989
01:51:53,920 --> 01:51:56,679
Speaker 1: the timing was definitely fortuitous because I definitely was ready

1990
01:51:56,720 --> 01:51:58,960
Speaker 1: to sort of take the next step. You know, Um,

1991
01:51:59,439 --> 01:52:01,240
Speaker 1: some people know as some people don't, but I am

1992
01:52:01,280 --> 01:52:05,760
Speaker 1: a cancer survivor and um, when I went through all

1993
01:52:05,800 --> 01:52:08,200
Speaker 1: of that, which was only three years ago, I had

1994
01:52:08,240 --> 01:52:11,599
Speaker 1: to basically completely overhaul my company because I was an

1995
01:52:11,640 --> 01:52:14,880
Speaker 1: extremely hands on operator. But then I obviously couldn't be

1996
01:52:14,920 --> 01:52:17,519
Speaker 1: there and so made a lot of promotions and sort

1997
01:52:17,560 --> 01:52:22,479
Speaker 1: of restructured the organization entirely. And when I came back,

1998
01:52:22,560 --> 01:52:25,519
Speaker 1: I found that a Everything was great, like people did

1999
01:52:25,680 --> 01:52:30,000
Speaker 1: an amazing job, and b that they didn't need me

2000
01:52:30,120 --> 01:52:32,479
Speaker 1: there all the time, like they needed me there too

2001
01:52:32,960 --> 01:52:37,160
Speaker 1: to coach and mentor and to lead in in some aspects,

2002
01:52:37,200 --> 01:52:40,000
Speaker 1: but they didn't need me actually physically in the restaurant

2003
01:52:40,640 --> 01:52:43,160
Speaker 1: working on the line or you know, washing dishes or

2004
01:52:43,240 --> 01:52:44,560
Speaker 1: talking to guests or whatever the case. You think it

2005
01:52:44,600 --> 01:52:46,240
Speaker 1: would have been bad form for you to come back

2006
01:52:46,280 --> 01:52:49,080
Speaker 1: anyway and be like I'm back, Oh totally yeah. I

2007
01:52:49,120 --> 01:52:54,360
Speaker 1: mean it also exactly you know those promotions never mind

2008
01:52:55,040 --> 01:53:00,160
Speaker 1: bay cuts. Um. It was honestly, it was terrifying I

2009
01:53:00,160 --> 01:53:02,000
Speaker 1: had to do it in the first place, but then

2010
01:53:02,000 --> 01:53:03,040
Speaker 1: it turned out to be like the best thing that

2011
01:53:03,040 --> 01:53:05,800
Speaker 1: I've ever done, Like it was, and it frankly, it

2012
01:53:05,800 --> 01:53:08,439
Speaker 1: made me have this moment where I realized that in

2013
01:53:08,520 --> 01:53:10,840
Speaker 1: my career people have done that for me, Like the

2014
01:53:10,880 --> 01:53:14,760
Speaker 1: guys I've worked for have taken a step back. You know,

2015
01:53:14,920 --> 01:53:17,000
Speaker 1: when when you're twenty five, you think they just they

2016
01:53:17,040 --> 01:53:19,200
Speaker 1: want me to do all the work. It's like it's

2017
01:53:19,200 --> 01:53:22,519
Speaker 1: my turn, like it's it's your turn. So it was

2018
01:53:22,560 --> 01:53:25,519
Speaker 1: my turn to let other people succeed and grow. And

2019
01:53:25,560 --> 01:53:27,519
Speaker 1: that's really all I care about at this point is

2020
01:53:28,120 --> 01:53:30,439
Speaker 1: trying to build these teams and watch people succeed. And

2021
01:53:30,479 --> 01:53:33,679
Speaker 1: so I knew that I had the ability, the time, frankly,

2022
01:53:33,880 --> 01:53:36,000
Speaker 1: to do something else. And it's like some people said,

2023
01:53:36,040 --> 01:53:38,640
Speaker 1: like why Kevin, just like you have you know, you

2024
01:53:38,680 --> 01:53:40,280
Speaker 1: don't have to work that hard anymore. You could just

2025
01:53:40,320 --> 01:53:42,599
Speaker 1: stay at home and like, you know, you literally can

2026
01:53:42,600 --> 01:53:44,719
Speaker 1: just do whatever you want and you know, collect collect

2027
01:53:44,720 --> 01:53:46,360
Speaker 1: money when it comes in from the restaurants. But that's

2028
01:53:46,360 --> 01:53:49,040
Speaker 1: just not my that's not my personality. So I wanted

2029
01:53:49,080 --> 01:53:52,280
Speaker 1: to do something else. I wanted to challenge and this

2030
01:53:52,360 --> 01:53:57,080
Speaker 1: seemed challenging. So um now said Danielle reached out, and

2031
01:53:57,840 --> 01:54:02,320
Speaker 1: um this conversation started and it was totally unexpected. But

2032
01:54:02,400 --> 01:54:04,360
Speaker 1: I'm very excited to be here doing it because it

2033
01:54:04,360 --> 01:54:07,840
Speaker 1: also allows me to not just the creating of food

2034
01:54:07,840 --> 01:54:10,720
Speaker 1: around sort of wild game and fish and stuff like that.

2035
01:54:10,720 --> 01:54:13,439
Speaker 1: That is that's something I'm uber passionate about because I

2036
01:54:13,439 --> 01:54:15,080
Speaker 1: think a lot of chefs are I think actually most

2037
01:54:15,160 --> 01:54:18,240
Speaker 1: chefs are really passionate about that because we're all looking

2038
01:54:18,280 --> 01:54:21,000
Speaker 1: for the best ingredient constantly. That's the secret, you know,

2039
01:54:21,080 --> 01:54:22,519
Speaker 1: how do you make great food while you start with

2040
01:54:22,520 --> 01:54:24,680
Speaker 1: great stuff, Like if you start with mediocre stuff, you

2041
01:54:24,920 --> 01:54:28,120
Speaker 1: mediocre food. And so I don't think that part is

2042
01:54:28,200 --> 01:54:32,000
Speaker 1: much of a departure. But trying to find a way

2043
01:54:32,040 --> 01:54:35,400
Speaker 1: to bring more people into the fold who have never

2044
01:54:36,560 --> 01:54:38,720
Speaker 1: been a hunter, who have never fished, who have never

2045
01:54:38,720 --> 01:54:42,880
Speaker 1: stepped outside barely, how can we get them to buy

2046
01:54:42,920 --> 01:54:45,400
Speaker 1: in and believe in this world? I think maybe through food.

2047
01:54:45,520 --> 01:54:48,240
Speaker 1: I think that path is probably something that is going

2048
01:54:48,280 --> 01:54:50,120
Speaker 1: to allow us to convert a lot more people. And

2049
01:54:50,120 --> 01:54:51,800
Speaker 1: so that's what Danielle and I are working on now,

2050
01:54:51,880 --> 01:54:55,160
Speaker 1: is trying to find new opportunities where we can get

2051
01:54:55,160 --> 01:54:58,240
Speaker 1: these people over to sort of our side, to recognize

2052
01:54:58,280 --> 01:55:01,280
Speaker 1: that the hunting is always been about the food man

2053
01:55:01,400 --> 01:55:03,960
Speaker 1: like and it's like and it's special, and so that's

2054
01:55:04,000 --> 01:55:08,600
Speaker 1: that's what we're gonna do. So explain the Danielle, when

2055
01:55:08,600 --> 01:55:11,520
Speaker 1: we met, you were doing um like you're sort of

2056
01:55:11,520 --> 01:55:15,320
Speaker 1: the world you created was wild and whole. Uh, explain

2057
01:55:15,400 --> 01:55:17,320
Speaker 1: that to people, like, like how you came up with

2058
01:55:18,160 --> 01:55:21,320
Speaker 1: that and what you're doing with it now. Um, you know,

2059
01:55:21,400 --> 01:55:25,240
Speaker 1: it kind of came not my choice or people talked

2060
01:55:25,280 --> 01:55:28,160
Speaker 1: me into creating a blog, but really, I I didn't

2061
01:55:28,200 --> 01:55:32,160
Speaker 1: come into hunting. I'm married a hunter, was telling we

2062
01:55:32,160 --> 01:55:35,440
Speaker 1: were talking about stories and Hawaii, how we met our spouses,

2063
01:55:35,960 --> 01:55:39,080
Speaker 1: And the first day I went on with Travis, he

2064
01:55:39,120 --> 01:55:41,360
Speaker 1: took me to a gun range to shoot. He was

2065
01:55:41,400 --> 01:55:43,880
Speaker 1: studying in his rifle, and so the second day he

2066
01:55:43,960 --> 01:55:47,360
Speaker 1: cooked me his backstraps and I remember, yeah, he was

2067
01:55:47,400 --> 01:55:50,880
Speaker 1: being a methodical man. Yeah. Yeah, It's it's funny because

2068
01:55:51,040 --> 01:55:53,840
Speaker 1: I mean I didn't grow up hunting, and so that

2069
01:55:53,920 --> 01:55:56,160
Speaker 1: was the first time I've had Actually my dad was

2070
01:55:56,200 --> 01:56:01,120
Speaker 1: a hunter, so I had had venison before. Um, so yeah,

2071
01:56:01,200 --> 01:56:03,960
Speaker 1: I just remember like he was like this is really special.

2072
01:56:04,000 --> 01:56:05,600
Speaker 1: Like he made a big deal about like this is

2073
01:56:05,640 --> 01:56:08,000
Speaker 1: really special. It's not just like I just bought a

2074
01:56:08,000 --> 01:56:09,560
Speaker 1: steak from the store and I'm cooking it for you.

2075
01:56:09,640 --> 01:56:11,600
Speaker 1: Like I remember him making a big deal about it.

2076
01:56:11,880 --> 01:56:14,240
Speaker 1: And I was just like I just didn't really get it.

2077
01:56:14,280 --> 01:56:17,560
Speaker 1: But anyway, like we kept dating and that involved and

2078
01:56:17,920 --> 01:56:20,200
Speaker 1: we got married and he was bringing home food all

2079
01:56:20,200 --> 01:56:22,800
Speaker 1: the time, and I was fascinated with it because I

2080
01:56:22,840 --> 01:56:28,040
Speaker 1: had started cooking, working at UM these cooking classes, and

2081
01:56:28,480 --> 01:56:31,720
Speaker 1: I graduated with a degree in apparel design, and I

2082
01:56:31,760 --> 01:56:33,640
Speaker 1: wanted to go to culinary school, and so I was

2083
01:56:33,720 --> 01:56:37,800
Speaker 1: like doing these cooking classes, and I just thought Wild

2084
01:56:37,800 --> 01:56:41,400
Speaker 1: Game was fascinating, purely for the fact when you were

2085
01:56:41,480 --> 01:56:45,880
Speaker 1: leading cooking classes, UM, I was working. I started dishwashing.

2086
01:56:45,960 --> 01:56:47,960
Speaker 1: By the end of it, I was teaching a little bit.

2087
01:56:49,040 --> 01:56:51,520
Speaker 1: I'm sorry, I mean like, not, you're not taking the

2088
01:56:51,560 --> 01:56:54,760
Speaker 1: cooking classes, but you're oh, yeah, yeah, I was working. Yeah,

2089
01:56:55,080 --> 01:56:57,640
Speaker 1: I was working in them. Anyway, I thought it was fascinating.

2090
01:56:57,680 --> 01:56:59,880
Speaker 1: I wanted to go to culinary school, but I thought

2091
01:57:00,280 --> 01:57:02,800
Speaker 1: wild Game was interesting because you kind of had this

2092
01:57:02,880 --> 01:57:04,800
Speaker 1: chance to work with something new every time. It's not

2093
01:57:04,840 --> 01:57:06,600
Speaker 1: like when you go to the grocery store you know

2094
01:57:06,680 --> 01:57:10,280
Speaker 1: exactly what you were expecting something because it's so standardized.

2095
01:57:12,360 --> 01:57:21,240
Speaker 1: Is It was just fascinating to me. And then UM

2096
01:57:21,320 --> 01:57:24,560
Speaker 1: we moved to North Dakota, and that was what really

2097
01:57:24,640 --> 01:57:28,920
Speaker 1: changed my life. And we realized that we could like

2098
01:57:29,040 --> 01:57:32,240
Speaker 1: hunt and fish all year round all the time, so

2099
01:57:32,320 --> 01:57:35,160
Speaker 1: much public land access, and that's what we did. And

2100
01:57:35,200 --> 01:57:37,160
Speaker 1: so the more and more time I spent in the field,

2101
01:57:37,960 --> 01:57:39,920
Speaker 1: the more I got to sort of connect with the

2102
01:57:39,960 --> 01:57:43,240
Speaker 1: food and it became something way bigger, and I had

2103
01:57:43,280 --> 01:57:48,360
Speaker 1: this aha moment that food is not just about calories

2104
01:57:48,640 --> 01:57:52,440
Speaker 1: or about like things that taste good. It. I finally

2105
01:57:52,480 --> 01:57:54,680
Speaker 1: realized that there was a meaning behind it. And I

2106
01:57:54,720 --> 01:57:57,080
Speaker 1: think I think everybody goes through that at some point

2107
01:57:57,120 --> 01:58:00,680
Speaker 1: in life, discovering that food carries a lot of meaning. UM.

2108
01:58:00,760 --> 01:58:05,480
Speaker 1: And so I decided I was also like learning a

2109
01:58:05,520 --> 01:58:09,560
Speaker 1: lot about our food sustainability reading Michael Pollen stuff, and

2110
01:58:09,600 --> 01:58:11,520
Speaker 1: I was just kind of had this moment of Travis,

2111
01:58:11,520 --> 01:58:13,680
Speaker 1: I don't want to buy me anymore at the grocery store.

2112
01:58:14,000 --> 01:58:16,840
Speaker 1: So you're we're either going to like be vegetarians or

2113
01:58:17,280 --> 01:58:19,920
Speaker 1: we're already hunting, Like that's just really obvious rout we're

2114
01:58:19,920 --> 01:58:22,600
Speaker 1: gonna take. And so for him, it was like full permission,

2115
01:58:22,680 --> 01:58:27,080
Speaker 1: like hunt any any day you want, Like there's no

2116
01:58:27,080 --> 01:58:29,800
Speaker 1: no um obligations at home, Like if you want to

2117
01:58:29,800 --> 01:58:32,720
Speaker 1: go hunting one weekend, go hunting, I'm like making him

2118
01:58:32,720 --> 01:58:35,880
Speaker 1: go hunt and I would go with them, UM so

2119
01:58:35,920 --> 01:58:38,240
Speaker 1: that we can have enough meat to last is through

2120
01:58:38,280 --> 01:58:40,600
Speaker 1: the year. And so we started doing that about nine

2121
01:58:40,680 --> 01:58:46,160
Speaker 1: years ago. UM of only UM eating meat that we've

2122
01:58:46,320 --> 01:58:49,840
Speaker 1: shot or fished for. And so my friends were like,

2123
01:58:49,960 --> 01:58:53,440
Speaker 1: that's crazy that you do that, you should start a blog.

2124
01:58:53,600 --> 01:58:56,160
Speaker 1: And so that's what Wild and Hole started as it

2125
01:58:56,320 --> 01:58:59,120
Speaker 1: was just sort of this creative outlet to sort of

2126
01:58:59,800 --> 01:59:03,760
Speaker 1: x floor what it meant to eat consciously. That's really

2127
01:59:03,800 --> 01:59:06,440
Speaker 1: what it was about for me, was was what does

2128
01:59:06,480 --> 01:59:08,960
Speaker 1: it mean? What does it mean to like take responsibility

2129
01:59:09,000 --> 01:59:11,600
Speaker 1: for your food? What does it mean to like know

2130
01:59:11,880 --> 01:59:15,280
Speaker 1: that this animal that you're hunting all the things that

2131
01:59:15,360 --> 01:59:20,240
Speaker 1: had like are required to make this habitat healthy? And

2132
01:59:20,240 --> 01:59:23,520
Speaker 1: and I suddenly cared about conservation in a way that

2133
01:59:23,520 --> 01:59:26,880
Speaker 1: I had never cared about before. Um. And so that's

2134
01:59:26,920 --> 01:59:29,280
Speaker 1: really what Wild and Hole started at and and it's

2135
01:59:29,280 --> 01:59:32,560
Speaker 1: sort of evolved over the years. Um but by the

2136
01:59:32,600 --> 01:59:37,160
Speaker 1: time this episode launches, we will be um creating a

2137
01:59:37,160 --> 01:59:41,520
Speaker 1: new website for Wild and Hole. I'm sort of looking

2138
01:59:41,560 --> 01:59:44,720
Speaker 1: at hunting and fishing as one way that you can

2139
01:59:44,760 --> 01:59:48,520
Speaker 1: connect with your food or have a responsible responsibility, but

2140
01:59:48,600 --> 01:59:53,000
Speaker 1: also all the other avenues that go into that. For

2141
01:59:53,040 --> 01:59:56,640
Speaker 1: a long time, yeah, so I've I've gotten the garden bug,

2142
01:59:57,400 --> 02:00:02,360
Speaker 1: as probably everybody has past year, but um so so

2143
02:00:02,480 --> 02:00:05,160
Speaker 1: wild the whole is sort of like kind of being

2144
02:00:05,200 --> 02:00:08,360
Speaker 1: reinvigorated with a new life. We have a handful of

2145
02:00:08,560 --> 02:00:12,440
Speaker 1: contributors picked out that are going to be writing for us. UM.

2146
02:00:12,440 --> 02:00:16,280
Speaker 1: We've got like a regenerative rancher from Alberta, UM, some

2147
02:00:16,400 --> 02:00:22,840
Speaker 1: foragers UM bree Van Scodder and um Wade from Elevated

2148
02:00:22,880 --> 02:00:26,480
Speaker 1: wild UM. And then so sweep by some gardening content

2149
02:00:26,600 --> 02:00:29,960
Speaker 1: and then we'll be doing some stuff um like raising animals,

2150
02:00:30,640 --> 02:00:34,240
Speaker 1: chickens for eggs, UM, caring for honey bees, sort of

2151
02:00:34,280 --> 02:00:37,000
Speaker 1: that whole thing. So it's it's sort of expanding into

2152
02:00:37,800 --> 02:00:44,120
Speaker 1: a bigger picture of of food and our relationship with food, UM,

2153
02:00:44,280 --> 02:00:45,960
Speaker 1: the way that we see it, the way that we

2154
02:00:46,120 --> 02:00:49,200
Speaker 1: value it, and the effects on the environment. UM. So

2155
02:00:49,240 --> 02:00:54,000
Speaker 1: it's it's definitely more yeah, driven by food and of

2156
02:00:54,000 --> 02:00:57,640
Speaker 1: course recipes you should have Yanni. Do you should commission

2157
02:00:57,640 --> 02:00:59,839
Speaker 1: a piece of Yanni called ship that will kill your chickens?

2158
02:01:03,960 --> 02:01:11,560
Speaker 1: We could just have corner column like and then you

2159
02:01:11,640 --> 02:01:17,360
Speaker 1: got your skunks. I can't raise chickens right now, but

2160
02:01:17,400 --> 02:01:21,280
Speaker 1: I've been wanting to get chickens really bad. My I'm

2161
02:01:21,320 --> 02:01:24,920
Speaker 1: I'm moving. I'm in Houston right now, and we're moving

2162
02:01:25,120 --> 02:01:27,720
Speaker 1: to a small, really small town out in the country

2163
02:01:27,760 --> 02:01:30,800
Speaker 1: outside of San Antonio, and like part of this move

2164
02:01:31,080 --> 02:01:33,680
Speaker 1: was like we just want to get a few acres,

2165
02:01:33,800 --> 02:01:35,680
Speaker 1: have a little bit more space. And the whole point

2166
02:01:35,800 --> 02:01:39,400
Speaker 1: was like I can finally have my chickens, and our

2167
02:01:39,440 --> 02:01:43,680
Speaker 1: subdivision has a h o A won't let me have chickens.

2168
02:01:44,200 --> 02:01:47,360
Speaker 1: But those rules, those rules are falling. Those rules are

2169
02:01:47,360 --> 02:01:51,640
Speaker 1: falling like flies. Man. Yeah, I'm just people revolting against it.

2170
02:01:51,920 --> 02:01:54,440
Speaker 1: I mean I asked for forgiveness and not think you

2171
02:01:54,480 --> 02:01:57,080
Speaker 1: should like my h o A not where I currently live,

2172
02:01:57,560 --> 02:02:00,000
Speaker 1: had apparently how to rule about not being able to

2173
02:02:00,040 --> 02:02:02,120
Speaker 1: clean deer from a street sign, which I didn't know about.

2174
02:02:03,720 --> 02:02:06,480
Speaker 1: So say it again, not clean deer, can't hang deer

2175
02:02:06,520 --> 02:02:08,640
Speaker 1: from st sign? Yeah, but it's like a perfect height.

2176
02:02:08,800 --> 02:02:11,160
Speaker 1: Like so I was like, how else am I supposed

2177
02:02:11,160 --> 02:02:13,680
Speaker 1: to clean this deer? And they're like, not not in

2178
02:02:13,720 --> 02:02:19,040
Speaker 1: the subdivision. My brother up an Anchorage. They feel like

2179
02:02:19,080 --> 02:02:21,480
Speaker 1: he was there when they made it. He could have

2180
02:02:21,560 --> 02:02:23,560
Speaker 1: chickens in your yard right in the city, you know,

2181
02:02:23,680 --> 02:02:26,720
Speaker 1: downtown Anchorage, and he had all these chickens run around

2182
02:02:26,760 --> 02:02:28,960
Speaker 1: and uh, he had a fence in the yard, like

2183
02:02:28,960 --> 02:02:30,760
Speaker 1: a big high wooden fence around his whole yard, so

2184
02:02:30,760 --> 02:02:34,480
Speaker 1: his chickens just roamed around and um, one day one

2185
02:02:34,480 --> 02:02:37,920
Speaker 1: of his bodies is out walking his dog and this

2186
02:02:37,960 --> 02:02:40,720
Speaker 1: body runs into another body and they agree to go

2187
02:02:40,960 --> 02:02:43,480
Speaker 1: get a beer, and it brings up the question like

2188
02:02:43,520 --> 02:02:45,760
Speaker 1: what do we do with the dog? Oh my god,

2189
02:02:45,800 --> 02:02:47,640
Speaker 1: So they go to my brother's house and he's not

2190
02:02:47,760 --> 02:02:49,720
Speaker 1: They just opened the gate and let the dog in

2191
02:02:50,520 --> 02:02:53,440
Speaker 1: without really thinking about it, like there like detained the

2192
02:02:53,520 --> 02:02:57,080
Speaker 1: dog in his fence, and um, he was out of town.

2193
02:02:57,320 --> 02:02:59,880
Speaker 1: He comes home and he comes home. His chickens are

2194
02:02:59,880 --> 02:03:01,960
Speaker 1: all lined up dead on his porch, you know, like

2195
02:03:02,000 --> 02:03:03,680
Speaker 1: they laid them all out all nice because they didn't

2196
02:03:03,680 --> 02:03:05,000
Speaker 1: know what to do. But ye have that dog out

2197
02:03:05,040 --> 02:03:11,360
Speaker 1: in there and just annihilated them. Yeah, they kind of

2198
02:03:11,360 --> 02:03:17,080
Speaker 1: made him look nice and stamped. We were we were

2199
02:03:17,120 --> 02:03:20,600
Speaker 1: at the disc golf course and um, it's like in

2200
02:03:20,640 --> 02:03:24,160
Speaker 1: the middle of the city and out of nowhere, our

2201
02:03:24,200 --> 02:03:26,280
Speaker 1: dog comes up to us with a chicken in its mouth,

2202
02:03:26,320 --> 02:03:30,200
Speaker 1: and we're like crap. And I like walking around like

2203
02:03:30,320 --> 02:03:33,200
Speaker 1: is this anybody's chicken? Like no, And I'm like, well,

2204
02:03:33,800 --> 02:03:36,200
Speaker 1: I just will eat it because so I like opened

2205
02:03:36,240 --> 02:03:37,920
Speaker 1: up the crop and I could see it was full

2206
02:03:37,960 --> 02:03:40,440
Speaker 1: of meal worms. So I'm like this thing like just

2207
02:03:41,160 --> 02:03:44,680
Speaker 1: escaped its coup. It was a silky chicken, which if

2208
02:03:44,720 --> 02:03:50,080
Speaker 1: you've ever plucked a silky chicken, their meat is black

2209
02:03:50,120 --> 02:03:55,000
Speaker 1: and their skin is dark bluish black. Yeah, it is good.

2210
02:03:55,200 --> 02:03:59,800
Speaker 1: It's a delicacy in China. Yeah, it's it's very expensive

2211
02:03:59,840 --> 02:04:04,080
Speaker 1: to buy. Insist. So I have a nice plucked blue

2212
02:04:04,560 --> 02:04:09,000
Speaker 1: silky chicken in my freezer. It's gonna be my farewell

2213
02:04:09,080 --> 02:04:15,760
Speaker 1: meal when I leave from the park. I never I've

2214
02:04:15,800 --> 02:04:19,280
Speaker 1: never done chickens. Uh, when you go down and buy

2215
02:04:19,360 --> 02:04:21,760
Speaker 1: them right, like can you pay extra and get ones

2216
02:04:21,800 --> 02:04:23,960
Speaker 1: that you know are females? Is there some deal like this?

2217
02:04:25,320 --> 02:04:26,960
Speaker 1: Like you buy them and you know there's gonna be

2218
02:04:27,000 --> 02:04:29,720
Speaker 1: some roosters mixed in. It's just a mixed bag. You

2219
02:04:29,760 --> 02:04:33,200
Speaker 1: don't know. I don't think they can be sex well,

2220
02:04:33,240 --> 02:04:35,680
Speaker 1: you can know there there's there's these experts to can

2221
02:04:35,680 --> 02:04:38,760
Speaker 1: sext them. Yeah, but I don't think. I think when

2222
02:04:38,800 --> 02:04:41,880
Speaker 1: you go down to the old you know, farm feed,

2223
02:04:42,320 --> 02:04:46,480
Speaker 1: so you really don't know if you buy chicks, so

2224
02:04:46,520 --> 02:04:49,000
Speaker 1: what do you do? You kill them all? Eat the roosters.

2225
02:04:49,640 --> 02:04:52,440
Speaker 1: My brother, the same brother, I didn't realize this. He

2226
02:04:52,520 --> 02:04:54,120
Speaker 1: got a bat he went and got a batch, and

2227
02:04:54,200 --> 02:04:56,720
Speaker 1: it was all said and done. Every one of them

2228
02:04:56,760 --> 02:04:59,680
Speaker 1: was a rooster he gave. He had me kill one

2229
02:04:59,720 --> 02:05:01,480
Speaker 1: of them. She's eating a bunch of capin's, like just

2230
02:05:02,160 --> 02:05:04,760
Speaker 1: my kids. It was one of his kids took a

2231
02:05:04,760 --> 02:05:07,160
Speaker 1: shine too. But it started like like every day you

2232
02:05:07,200 --> 02:05:09,960
Speaker 1: wake up and here's some new one crowing crow. Yeah,

2233
02:05:10,040 --> 02:05:11,760
Speaker 1: so just one started crowing. I took it home and

2234
02:05:11,800 --> 02:05:14,080
Speaker 1: cooked it for my kids, And then next day here's

2235
02:05:14,080 --> 02:05:16,240
Speaker 1: a not a one crown, and pretty soon they got

2236
02:05:16,240 --> 02:05:21,200
Speaker 1: done killing everybody that crowed zero chickens. Yeah, it's funny too.

2237
02:05:21,240 --> 02:05:23,160
Speaker 1: We went through it one time. I want to say

2238
02:05:23,160 --> 02:05:25,160
Speaker 1: it was with when we had some bantams for a

2239
02:05:25,160 --> 02:05:27,760
Speaker 1: little while, which were basically just a little miniature chickens,

2240
02:05:28,400 --> 02:05:32,120
Speaker 1: and there was a procession like that because for whatever

2241
02:05:32,200 --> 02:05:35,960
Speaker 1: reason that they're packing order, I guess you'd be like, oh, well,

2242
02:05:35,960 --> 02:05:38,960
Speaker 1: we just have one rooster left. You know, nobody else

2243
02:05:39,040 --> 02:05:42,040
Speaker 1: is crowing. Take him out. The next morning you're like,

2244
02:05:42,080 --> 02:05:44,400
Speaker 1: hold on, what was that. You go down there, and

2245
02:05:44,440 --> 02:05:47,080
Speaker 1: sure enough, So and so's bowed up and no longer

2246
02:05:47,240 --> 02:05:49,720
Speaker 1: is a hen anymore, but it's turned into a rooster

2247
02:05:49,800 --> 02:05:52,040
Speaker 1: and it's crowing. His head off, you know what. That's

2248
02:05:52,040 --> 02:05:54,120
Speaker 1: what Aber and Matthews talking about with wild turkeys. Know,

2249
02:05:54,120 --> 02:05:56,560
Speaker 1: when you get a power jake, like when Jake starts

2250
02:05:56,520 --> 02:05:59,320
Speaker 1: strutting Goblin, he says, it's usually because there's been a

2251
02:05:59,400 --> 02:06:03,600
Speaker 1: serious interruption in their social hierarchy, and they come into

2252
02:06:03,640 --> 02:06:06,480
Speaker 1: it docile, like, don't do that, man, you get your

2253
02:06:06,520 --> 02:06:08,360
Speaker 1: you know someone's gonna beat your ask if you do that.

2254
02:06:08,760 --> 02:06:11,680
Speaker 1: But then you know, as season goes on, they're kind

2255
02:06:11,680 --> 02:06:13,320
Speaker 1: of like, you know, I haven't seen that guy around.

2256
02:06:13,320 --> 02:06:16,560
Speaker 1: It usually beats me up when I do anything aggressive,

2257
02:06:16,600 --> 02:06:20,080
Speaker 1: and then they start getting full of themselves and start

2258
02:06:20,160 --> 02:06:22,640
Speaker 1: being like acting like the man. You know it will

2259
02:06:22,680 --> 02:06:26,720
Speaker 1: successfully breed. Uh. I had one more chicken quick, Oh,

2260
02:06:26,720 --> 02:06:29,400
Speaker 1: I got an article for wild and Hole that someone

2261
02:06:29,480 --> 02:06:33,120
Speaker 1: needs to do. You get Chris Calkins involved at Colkins.

2262
02:06:33,120 --> 02:06:36,280
Speaker 1: Get him involved in it, those guys, because every every

2263
02:06:36,280 --> 02:06:39,560
Speaker 1: time I'm talking to chicken people, it seems like there's

2264
02:06:39,560 --> 02:06:42,720
Speaker 1: a question about what do you do with the ones

2265
02:06:42,800 --> 02:06:46,360
Speaker 1: that like the ones that get killed by this, the

2266
02:06:46,520 --> 02:06:51,280
Speaker 1: roosters that you gotta kill. It would be um chicken

2267
02:06:52,320 --> 02:06:58,280
Speaker 1: everything chicken egg people need to know about eating their chickens. Oh,

2268
02:06:58,280 --> 02:07:00,240
Speaker 1: because they don't know how to like clean it. Well,

2269
02:07:00,240 --> 02:07:02,200
Speaker 1: it's like can you do this? And can you do that?

2270
02:07:02,280 --> 02:07:04,440
Speaker 1: And how should you cook a little ship and chicken

2271
02:07:04,440 --> 02:07:07,120
Speaker 1: that just started crowing and you gotta go kill him?

2272
02:07:07,320 --> 02:07:10,840
Speaker 1: The dog killed one. Be like all because this is

2273
02:07:10,880 --> 02:07:13,280
Speaker 1: for like very entry level people who don't have a

2274
02:07:13,320 --> 02:07:16,320
Speaker 1: lot of blood on their hands, right, So you'd lay

2275
02:07:16,320 --> 02:07:18,280
Speaker 1: out for them all the things they need to know

2276
02:07:18,320 --> 02:07:22,520
Speaker 1: about eating, all the how to make the best of

2277
02:07:22,560 --> 02:07:24,600
Speaker 1: all the death that goes on in egg raising. I

2278
02:07:24,600 --> 02:07:26,720
Speaker 1: could write. I could write that article all the different

2279
02:07:26,760 --> 02:07:28,600
Speaker 1: life stages of chicken, like what you do with him?

2280
02:07:30,160 --> 02:07:32,040
Speaker 1: Every chicken person I talked to you, most of the

2281
02:07:32,040 --> 02:07:35,200
Speaker 1: things they talk about is things that happened to their chickens.

2282
02:07:38,760 --> 02:07:40,840
Speaker 1: One of the other guy saw about they had a

2283
02:07:40,840 --> 02:07:42,200
Speaker 1: tree fall on is. I don't want to get into

2284
02:07:42,200 --> 02:07:43,680
Speaker 1: his name, but the guy that had a tree crushed

2285
02:07:43,680 --> 02:07:52,120
Speaker 1: his truck. He says, this guy lives downtown. He's like,

2286
02:07:52,640 --> 02:07:55,000
Speaker 1: fox got my chickens. I'm like, no, it didn't. Like

2287
02:07:55,080 --> 02:07:58,040
Speaker 1: it's probably chiop a cobra. So he puts out a

2288
02:07:58,040 --> 02:08:04,360
Speaker 1: trail cam and students downtown man, some fox, Downtown bowlsman. Yeah,

2289
02:08:04,960 --> 02:08:07,560
Speaker 1: some fox. I don't feel like that's a stretch. I

2290
02:08:07,640 --> 02:08:12,960
Speaker 1: thought it was. There's like a hundred bucks walking around downtown.

2291
02:08:13,440 --> 02:08:16,200
Speaker 1: I gave him. I gave him some kyote lure and

2292
02:08:16,240 --> 02:08:18,800
Speaker 1: he put the that out and uh, he said that

2293
02:08:18,880 --> 02:08:21,880
Speaker 1: stuff could melt glass, you know. But he had pictures

2294
02:08:21,920 --> 02:08:23,160
Speaker 1: of it coming up to smell it. And that's what

2295
02:08:23,240 --> 02:08:27,400
Speaker 1: he's got anyways, even like that. So now he's got

2296
02:08:27,400 --> 02:08:32,160
Speaker 1: dead chickens laying around going to waste. I think people

2297
02:08:32,160 --> 02:08:34,760
Speaker 1: throw them in the garbage can. That's really sad. I

2298
02:08:36,000 --> 02:08:39,120
Speaker 1: take a chicken home from the park. There you go.

2299
02:08:39,640 --> 02:08:42,640
Speaker 1: So I'm talking about the article. Whatever. We haven't an

2300
02:08:42,640 --> 02:08:45,400
Speaker 1: aversion at our house too, for eating, Like when we

2301
02:08:45,440 --> 02:08:48,120
Speaker 1: had a fox, you know, platter a bunch of them.

2302
02:08:48,280 --> 02:08:49,880
Speaker 1: No, no no, no, no, we don't mind eating them, like

2303
02:08:49,920 --> 02:08:51,800
Speaker 1: if you just go and kill him. But like when

2304
02:08:51,800 --> 02:08:54,120
Speaker 1: you find him laying around and there was this like

2305
02:08:54,280 --> 02:08:58,120
Speaker 1: stress incident maybe or whatever, and then the fox, you know,

2306
02:08:58,320 --> 02:09:05,840
Speaker 1: ravaged him. I don't think you feed a tomingous. I

2307
02:09:05,840 --> 02:09:08,600
Speaker 1: guess that's a good question, is could you contract anything

2308
02:09:08,720 --> 02:09:11,960
Speaker 1: if like an animal like a rodent had been chewing

2309
02:09:12,080 --> 02:09:16,240
Speaker 1: or eating? Don't ask This sounds like a collaborative effort here,

2310
02:09:16,280 --> 02:09:18,400
Speaker 1: So we need Danielle to talk about raising chickens. We

2311
02:09:18,440 --> 02:09:20,640
Speaker 1: need y need to talk about what kills your chickens.

2312
02:09:20,640 --> 02:09:23,040
Speaker 1: We need Chris awagh in on how dangerous it is

2313
02:09:23,080 --> 02:09:24,800
Speaker 1: to eat a chicken. When you do the article, you

2314
02:09:24,840 --> 02:09:27,240
Speaker 1: should interview Yanni about how he doesn't want to eat

2315
02:09:27,240 --> 02:09:29,960
Speaker 1: the fox killed chicken. I would eat him in a second,

2316
02:09:30,000 --> 02:09:31,320
Speaker 1: and then I'll jump in and tell you what to

2317
02:09:31,360 --> 02:09:33,400
Speaker 1: do with the chicken based on how old it is.

2318
02:09:33,600 --> 02:09:37,480
Speaker 1: I was going to eat a tomato is gonna be

2319
02:09:37,480 --> 02:09:44,120
Speaker 1: like a New Yorker length article exactly? I was saying

2320
02:09:44,160 --> 02:09:46,520
Speaker 1: I was going to eat a tomato that a possum

2321
02:09:46,560 --> 02:09:48,280
Speaker 1: had already eaten half of it. I was just gonna

2322
02:09:48,280 --> 02:09:50,839
Speaker 1: eat the other half. My husband told me that was gross.

2323
02:09:51,280 --> 02:09:54,640
Speaker 1: That might be pushing it, don't I kind of disagree

2324
02:09:54,680 --> 02:09:58,960
Speaker 1: with your husband ought to respected you more. Did you

2325
02:09:59,040 --> 02:10:01,840
Speaker 1: watch it eat the other half? Or were you just like, no,

2326
02:10:01,920 --> 02:10:05,360
Speaker 1: you weren't like tomade jerk. No, it was the first.

2327
02:10:05,720 --> 02:10:08,160
Speaker 1: It was a black crim It was the first heirloom

2328
02:10:08,440 --> 02:10:10,920
Speaker 1: that was coming in. Gner got it. You guys call

2329
02:10:11,000 --> 02:10:14,000
Speaker 1: them graanners down there sometimes. I got that from Doug

2330
02:10:14,080 --> 02:10:15,880
Speaker 1: during We didn't call him grenners. Have I have some

2331
02:10:15,960 --> 02:10:17,800
Speaker 1: good postums story. We have a lot of postums, and

2332
02:10:18,240 --> 02:10:21,280
Speaker 1: cook those possums up. No, do you know that the

2333
02:10:21,400 --> 02:10:25,120
Speaker 1: old old old Joy of cooking m You know, they

2334
02:10:25,120 --> 02:10:28,360
Speaker 1: are always revamping it. It all kind of went ship

2335
02:10:28,360 --> 02:10:30,400
Speaker 1: when they started putting couz cuse recipes in there. But

2336
02:10:30,960 --> 02:10:34,560
Speaker 1: in the old days, the Joy of cooking head instructions

2337
02:10:35,480 --> 02:10:39,480
Speaker 1: about how to catch a possum, what to feed it

2338
02:10:39,520 --> 02:10:42,440
Speaker 1: in captivity, and then what the how to cook it?

2339
02:10:42,520 --> 02:10:46,360
Speaker 1: That wasn't would like that book, that old Joy cook.

2340
02:10:46,400 --> 02:10:47,920
Speaker 1: It'd be like you're supposed to take like, I don't

2341
02:10:47,920 --> 02:10:50,320
Speaker 1: know what the hell you know? How to fatten it

2342
02:10:50,320 --> 02:10:54,879
Speaker 1: on oatmeal? Is that the real example that they feeded oatmeal?

2343
02:10:55,360 --> 02:10:57,280
Speaker 1: It was like you do you feed it like a mash,

2344
02:10:57,360 --> 02:10:59,720
Speaker 1: like a grain or something. It was all enjoy cooking man,

2345
02:11:00,280 --> 02:11:02,400
Speaker 1: how to how to handle the possum, fatten it? Up

2346
02:11:02,800 --> 02:11:06,120
Speaker 1: to this day, I haven't eaten one. I I used

2347
02:11:06,160 --> 02:11:11,920
Speaker 1: to catch soul many possums fox trapping. I just didn't

2348
02:11:11,960 --> 02:11:15,720
Speaker 1: like them. Remember one time we're all the snow and

2349
02:11:15,760 --> 02:11:17,840
Speaker 1: my old man had shot a buck and never couldn't

2350
02:11:17,880 --> 02:11:19,480
Speaker 1: find a shot was bow and didn't find it till

2351
02:11:19,520 --> 02:11:21,480
Speaker 1: way later and cut the took the head offs. You

2352
02:11:21,480 --> 02:11:24,880
Speaker 1: wanted to get stuffed anyway. And we were and my

2353
02:11:24,920 --> 02:11:26,440
Speaker 1: brother were out rabbit hunt and we went and took

2354
02:11:26,480 --> 02:11:28,320
Speaker 1: a look at that deer. This is in the wintertime,

2355
02:11:29,760 --> 02:11:32,760
Speaker 1: and there's like a hole kind of eating through the deer.

2356
02:11:33,680 --> 02:11:35,320
Speaker 1: And I looked down in that hole and there's a

2357
02:11:35,320 --> 02:11:37,760
Speaker 1: grinner living in there. I remember hauling out by his

2358
02:11:37,800 --> 02:11:40,440
Speaker 1: tail and taking a picture of you know, this is

2359
02:11:40,520 --> 02:11:43,320
Speaker 1: probably December. I guess I have a thing of like

2360
02:11:43,400 --> 02:11:46,040
Speaker 1: you are what you eat eat. So as much as

2361
02:11:46,080 --> 02:11:48,880
Speaker 1: I look like there's a wide array of wild game

2362
02:11:48,920 --> 02:11:51,880
Speaker 1: that I love to eat, but like I don't know

2363
02:11:51,920 --> 02:11:55,160
Speaker 1: what all they're eating. If it's questionable what they're eating,

2364
02:11:55,200 --> 02:11:56,840
Speaker 1: I don't want to eat it. If you laid out

2365
02:11:56,840 --> 02:11:58,640
Speaker 1: in your garden long enough a possum to eat you

2366
02:11:59,400 --> 02:12:02,360
Speaker 1: eat me. Oh dude, they'll eat That's why I don't

2367
02:12:02,360 --> 02:12:04,880
Speaker 1: want to eat. My wife subscribes to that same plan,

2368
02:12:04,960 --> 02:12:07,280
Speaker 1: because we had like a squirrel issue and so I

2369
02:12:07,360 --> 02:12:08,880
Speaker 1: just I was like, well, I'm going to deal with

2370
02:12:08,920 --> 02:12:10,040
Speaker 1: it the way that we did as a kid. So

2371
02:12:10,080 --> 02:12:11,840
Speaker 1: I just started shooting all the squirrels in our yard

2372
02:12:12,000 --> 02:12:15,520
Speaker 1: tree squirrels. Yeah, And I was like getting ready to

2373
02:12:15,520 --> 02:12:18,080
Speaker 1: cook him up for dinner, and she was like the

2374
02:12:19,560 --> 02:12:24,800
Speaker 1: grill and I was like, yeah, squirrels digging and trash

2375
02:12:24,800 --> 02:12:30,600
Speaker 1: eating trash, So I won't eat squirrels inside. Yeah. I

2376
02:12:30,600 --> 02:12:32,760
Speaker 1: don't know, man. I mean you know bears I like.

2377
02:12:32,880 --> 02:12:37,240
Speaker 1: I like bear meat, bears, hoodles. The hogs are the

2378
02:12:37,280 --> 02:12:39,200
Speaker 1: same way. I still like hog meat, but they'll eat

2379
02:12:39,240 --> 02:12:45,480
Speaker 1: some weird stuff. Yeah, everything everything. Uh, one last question

2380
02:12:45,520 --> 02:12:47,800
Speaker 1: for you, Daniel, Um, you're not a back out of

2381
02:12:47,840 --> 02:12:50,280
Speaker 1: donating that dog to the Mediator auction house? The oddities

2382
02:12:50,320 --> 02:12:53,640
Speaker 1: are you? Well? I can't now tell people about that dog.

2383
02:12:54,040 --> 02:12:57,800
Speaker 1: It's a Girlsian Streimer. What is it called Deutsch jot heart?

2384
02:12:59,520 --> 02:13:01,960
Speaker 1: So I've got a Deutsch strat hard. His name is

2385
02:13:02,080 --> 02:13:06,440
Speaker 1: z which um these dogs talking about how to name

2386
02:13:06,680 --> 02:13:10,200
Speaker 1: the kid. You have to name it based on the

2387
02:13:10,280 --> 02:13:14,880
Speaker 1: number of litter. So litter one is a let you

2388
02:13:14,960 --> 02:13:17,640
Speaker 1: have to with an A. If it's the second litter

2389
02:13:17,760 --> 02:13:20,120
Speaker 1: out of that kennel, it's gotten have a name that

2390
02:13:20,160 --> 02:13:22,800
Speaker 1: starts with the B and three. And this is a

2391
02:13:22,880 --> 02:13:28,280
Speaker 1: rule for all dogs or that it would be like Abigail,

2392
02:13:28,480 --> 02:13:33,640
Speaker 1: Annie Apple Arthur. Yeah, whose rule is it? The drought

2393
02:13:33,680 --> 02:13:41,200
Speaker 1: harder communities. I mean you can exactly. I mean maybe

2394
02:13:41,280 --> 02:13:44,080
Speaker 1: that's just required. It's definitely required on paper, but you

2395
02:13:44,200 --> 02:13:46,400
Speaker 1: don't have to stick with it. You can call it

2396
02:13:46,520 --> 02:13:48,880
Speaker 1: whatever you want. And this is the first litter. Now,

2397
02:13:49,040 --> 02:13:50,840
Speaker 1: is the first litter that comes from the bitch or

2398
02:13:50,880 --> 02:13:55,400
Speaker 1: the first litter that comes from thee from the kennel? Oh? No, no,

2399
02:13:55,560 --> 02:13:58,200
Speaker 1: from the kennel. I think I don't think so, even

2400
02:13:58,240 --> 02:14:00,960
Speaker 1: if you're if you have multiple breeding dogs, like yeah,

2401
02:14:01,000 --> 02:14:03,080
Speaker 1: if I have a kennel and I have two bitches,

2402
02:14:03,320 --> 02:14:05,480
Speaker 1: one has on her fourth litter and one is only

2403
02:14:05,560 --> 02:14:07,360
Speaker 1: on her second, it's I think it would still be

2404
02:14:08,120 --> 02:14:13,040
Speaker 1: six because it's the kennels litter. I think someone's probably

2405
02:14:13,080 --> 02:14:14,760
Speaker 1: going to write in them about that. We're going to

2406
02:14:14,800 --> 02:14:16,920
Speaker 1: get a lot of email. Community is going to be

2407
02:14:17,040 --> 02:14:21,080
Speaker 1: like would be like I call him like Zeke and

2408
02:14:21,160 --> 02:14:25,720
Speaker 1: zebulon and stuff. And so we got Z from the

2409
02:14:26,040 --> 02:14:28,520
Speaker 1: Z litter. His real name is Zesu, but we just

2410
02:14:28,560 --> 02:14:33,240
Speaker 1: call Z. Seriously, you have a Z litter dog? Yeah?

2411
02:14:33,440 --> 02:14:45,280
Speaker 1: Where they hire a Yeah, yeah, you gotta start three

2412
02:14:45,360 --> 02:14:49,960
Speaker 1: dogs anyway, So we've got what I think is a

2413
02:14:50,040 --> 02:14:53,040
Speaker 1: special dog keep part of the drought hart Um in

2414
02:14:53,200 --> 02:14:57,520
Speaker 1: order to be registered as a German um Deutsch drotart

2415
02:14:57,880 --> 02:15:00,640
Speaker 1: is that you have to go through these test um

2416
02:15:01,000 --> 02:15:03,560
Speaker 1: tests to be able to breed them. And so like

2417
02:15:03,680 --> 02:15:07,360
Speaker 1: they have this puppy test. It's within a year old.

2418
02:15:07,800 --> 02:15:11,120
Speaker 1: It's based on natural ability alone. So they will do

2419
02:15:11,400 --> 02:15:17,320
Speaker 1: um pointing tracking um like with rabbit tracks. We did

2420
02:15:17,360 --> 02:15:19,800
Speaker 1: a lot of drags. But but the puppy test is

2421
02:15:19,880 --> 02:15:22,720
Speaker 1: just pure natural ability. They just want to know what

2422
02:15:22,960 --> 02:15:27,640
Speaker 1: that puppy it was like, just has innate inside of him.

2423
02:15:27,880 --> 02:15:30,400
Speaker 1: They don't they don't even care like can your dogs sit?

2424
02:15:30,720 --> 02:15:32,840
Speaker 1: They don't care what you've trained them. They just want

2425
02:15:32,880 --> 02:15:35,320
Speaker 1: to know what that dog can do, because then you

2426
02:15:35,360 --> 02:15:38,560
Speaker 1: can start trading around with breeding with other people with

2427
02:15:38,720 --> 02:15:43,040
Speaker 1: like specifically honing in on their nose or specifically on

2428
02:15:43,400 --> 02:15:47,400
Speaker 1: on a different characteristics of dogs. So the point is

2429
02:15:47,520 --> 02:15:50,360
Speaker 1: to better the breed and not water it down. Um.

2430
02:15:50,520 --> 02:15:53,440
Speaker 1: So z we we went through his puppy tests. He

2431
02:15:53,520 --> 02:15:57,120
Speaker 1: got like an eight nine, which to you guys, but

2432
02:15:57,320 --> 02:16:01,520
Speaker 1: these numbers don't mean anything. But he p plus No,

2433
02:16:01,760 --> 02:16:03,840
Speaker 1: it was one of the best in the nations. In fact,

2434
02:16:03,920 --> 02:16:07,280
Speaker 1: that year he tied. Only one other dog got that score.

2435
02:16:07,400 --> 02:16:13,400
Speaker 1: But it's a very or seventy nine whatever. Yeah, he

2436
02:16:13,480 --> 02:16:15,520
Speaker 1: kicked ass and he took him to an arm brewster,

2437
02:16:15,640 --> 02:16:19,280
Speaker 1: which is like a national um. It's a different v

2438
02:16:19,440 --> 02:16:23,879
Speaker 1: G p um that it does have some training involved,

2439
02:16:24,000 --> 02:16:25,920
Speaker 1: and they do like a live They'll put like a

2440
02:16:26,000 --> 02:16:27,680
Speaker 1: live duck in the water and they have to find

2441
02:16:27,720 --> 02:16:29,680
Speaker 1: they don't see it in the water, and then the

2442
02:16:29,800 --> 02:16:31,840
Speaker 1: duck swims in like the reeds and they have to

2443
02:16:32,120 --> 02:16:34,520
Speaker 1: find the duck um And then you do all these

2444
02:16:34,600 --> 02:16:36,800
Speaker 1: like drags. Have you had them duke it out with

2445
02:16:36,840 --> 02:16:39,240
Speaker 1: a raccoon and a barrel? Yeah, that's part of the

2446
02:16:39,360 --> 02:16:42,880
Speaker 1: test is they have to dispass either a fox or

2447
02:16:42,879 --> 02:16:45,720
Speaker 1: a raccoon, and you have to have a witness. Dude,

2448
02:16:45,800 --> 02:16:51,360
Speaker 1: you're you are going to you just you just did something.

2449
02:16:51,400 --> 02:16:57,039
Speaker 1: You're gonna regret doing what you have opened up worms. Man,

2450
02:16:58,520 --> 02:17:02,480
Speaker 1: You're gonna get blown up. I for what Because there's

2451
02:17:02,560 --> 02:17:05,240
Speaker 1: people that know that that's true, and there's people that

2452
02:17:05,320 --> 02:17:08,000
Speaker 1: want to hide that that's true. You're going to hear

2453
02:17:08,040 --> 02:17:10,240
Speaker 1: it from the people that want to hide that that's true.

2454
02:17:10,959 --> 02:17:17,720
Speaker 1: Not if you're a drawn our owner a rabbit hole

2455
02:17:17,840 --> 02:17:23,560
Speaker 1: on this whole thing. Yeah, before before Ron was like

2456
02:17:23,920 --> 02:17:28,000
Speaker 1: stage five and the whole thing. Well, they're gonna come

2457
02:17:28,080 --> 02:17:32,480
Speaker 1: after you bad. I'm okay with that anyway, I'll just

2458
02:17:32,840 --> 02:17:38,959
Speaker 1: release release the draught r on them. No. Um. So anyway,

2459
02:17:39,240 --> 02:17:42,320
Speaker 1: he's a he's a great dog. So he's having his

2460
02:17:42,520 --> 02:17:46,560
Speaker 1: first pup. Um. We just bred them like a week ago. Um,

2461
02:17:46,920 --> 02:17:52,160
Speaker 1: and she's pregnant now she should be Okay. Here's here's

2462
02:17:52,160 --> 02:17:55,800
Speaker 1: where I get really interested. Let's say all these dogs

2463
02:17:55,920 --> 02:18:00,160
Speaker 1: but one die, all the puppies but one die. Are

2464
02:18:00,200 --> 02:18:03,600
Speaker 1: we still having the auction? Yes? Because as a as

2465
02:18:03,760 --> 02:18:07,640
Speaker 1: a stud fee, you get pick of the litter, So

2466
02:18:07,800 --> 02:18:10,760
Speaker 1: I get the first puppy, even if everybody's dead. Yeah.

2467
02:18:10,840 --> 02:18:13,600
Speaker 1: So the other guys that that'll be interested to try

2468
02:18:13,680 --> 02:18:17,640
Speaker 1: that and to have that be tested in court. I'm

2469
02:18:17,680 --> 02:18:21,880
Speaker 1: sure it happens. Um No, because I think everybody else

2470
02:18:21,920 --> 02:18:24,400
Speaker 1: it's like you get the second pick, you get the

2471
02:18:24,440 --> 02:18:26,600
Speaker 1: third when you put your deposit in. It's kind of

2472
02:18:26,680 --> 02:18:29,920
Speaker 1: a first come first or so you get like, um, there,

2473
02:18:29,959 --> 02:18:34,640
Speaker 1: I think four puppies so far spoken for outside of mine.

2474
02:18:34,840 --> 02:18:37,480
Speaker 1: So if the if the if she has a litter

2475
02:18:37,600 --> 02:18:39,720
Speaker 1: of five or six or seven, then we can sell

2476
02:18:39,840 --> 02:18:42,120
Speaker 1: more because you're providing the stud It's sort of like

2477
02:18:42,280 --> 02:18:44,920
Speaker 1: understood that you come in and you get your pick first. Well,

2478
02:18:44,959 --> 02:18:48,720
Speaker 1: you either take money or you get the puppy. I

2479
02:18:48,800 --> 02:18:50,920
Speaker 1: can I can choose. I can choose if I want

2480
02:18:51,000 --> 02:18:53,880
Speaker 1: to accept a stud fee and then somebody else gets

2481
02:18:53,920 --> 02:18:56,880
Speaker 1: the pick of the litter. But you chose, Yeah, I

2482
02:18:56,959 --> 02:18:58,920
Speaker 1: chose pick of the litter. Do you do you have

2483
02:18:59,000 --> 02:19:01,320
Speaker 1: a right to watch? Do you have a right to be? Like?

2484
02:19:01,600 --> 02:19:04,200
Speaker 1: I want my pick of the litter as agreed upon,

2485
02:19:05,400 --> 02:19:07,320
Speaker 1: and then I want like another one, Like I want

2486
02:19:07,360 --> 02:19:09,400
Speaker 1: to come out of this with two Yeah, but I

2487
02:19:09,400 --> 02:19:11,400
Speaker 1: would pay for the second one, but you don't. But

2488
02:19:11,560 --> 02:19:16,360
Speaker 1: also you don't pick that second one early? Right? Um?

2489
02:19:17,879 --> 02:19:20,280
Speaker 1: I guess she had put in her deposit first. Yeah,

2490
02:19:20,320 --> 02:19:24,000
Speaker 1: if I'm the first one, yeah, but the one you're

2491
02:19:24,000 --> 02:19:30,360
Speaker 1: going to donate to these oddities? Yeah? Um, how are

2492
02:19:30,400 --> 02:19:31,800
Speaker 1: you so you're not trying to come out of this

2493
02:19:31,879 --> 02:19:35,520
Speaker 1: with a dog? No, I don't need a puppy right now? Okay,

2494
02:19:35,600 --> 02:19:37,960
Speaker 1: now I understand doing this for you guys, like this

2495
02:19:38,120 --> 02:19:40,720
Speaker 1: is gonna be big time pick of the litter. And

2496
02:19:40,840 --> 02:19:44,560
Speaker 1: I say pick of the litter, it really just means like,

2497
02:19:44,840 --> 02:19:48,200
Speaker 1: whoever wants this dog, first of all, they need to

2498
02:19:48,440 --> 02:19:51,240
Speaker 1: I would highly encourage them to like already be very

2499
02:19:51,320 --> 02:19:56,520
Speaker 1: well aware of what this breed of dog is. Um well,

2500
02:19:56,560 --> 02:19:59,280
Speaker 1: I'll say, like the reason we fell in love with

2501
02:19:59,360 --> 02:20:02,080
Speaker 1: this breed is they are a versatile hunting dog. But

2502
02:20:02,280 --> 02:20:05,800
Speaker 1: unlike a GSP that's just sort of wired. He comes

2503
02:20:05,840 --> 02:20:10,080
Speaker 1: in the house and it turns it off. Chill German

2504
02:20:10,160 --> 02:20:14,920
Speaker 1: Shorthair pointer. He's like very chill and very calm in

2505
02:20:15,000 --> 02:20:18,600
Speaker 1: the house, just a lovable dog. But when he is

2506
02:20:18,760 --> 02:20:24,040
Speaker 1: outside in the field, it's like this, it's like a machine,

2507
02:20:24,120 --> 02:20:27,120
Speaker 1: like it's he's a machine, like something clicks and he's

2508
02:20:27,200 --> 02:20:32,280
Speaker 1: just like not blood thirsty. You're make it him sound

2509
02:20:32,320 --> 02:20:35,600
Speaker 1: like he's like this killer. He depends on whether or not.

2510
02:20:37,600 --> 02:20:39,240
Speaker 1: And then you say that as if it's like a

2511
02:20:39,360 --> 02:20:45,680
Speaker 1: bad thing. It's just no combination by part. I just

2512
02:20:45,760 --> 02:20:53,800
Speaker 1: hear stories. There's there's stories. Test they fail, they just

2513
02:20:53,920 --> 02:20:56,640
Speaker 1: then turn into a German war. Not everybody has to

2514
02:20:56,720 --> 02:20:59,360
Speaker 1: go through the test. You you go through the test

2515
02:20:59,480 --> 02:21:01,920
Speaker 1: if if you just want to go through it with

2516
02:21:02,000 --> 02:21:05,880
Speaker 1: your dog, if you are planning on hunting the dog

2517
02:21:05,959 --> 02:21:08,600
Speaker 1: a lot. It helps the dog become a better hunting dog.

2518
02:21:09,320 --> 02:21:12,320
Speaker 1: But if you got through it and you fail or whatever,

2519
02:21:13,040 --> 02:21:16,120
Speaker 1: nothing happens. I mean, you can't breathe the dog. You

2520
02:21:16,200 --> 02:21:19,080
Speaker 1: can't breed them. Could you breed them as a German

2521
02:21:19,120 --> 02:21:22,280
Speaker 1: wire or you can because that's an a case, so

2522
02:21:22,440 --> 02:21:25,959
Speaker 1: this is a German breed. What would be the monetary

2523
02:21:26,040 --> 02:21:29,000
Speaker 1: value of this puppy? So nobody short She's gonna put

2524
02:21:29,040 --> 02:21:34,200
Speaker 1: in a minimum bid? Many dog? Maybe? Well, Danielle is

2525
02:21:34,200 --> 02:21:36,160
Speaker 1: still in a lot of red tape, bought all the

2526
02:21:36,200 --> 02:21:39,879
Speaker 1: red tape. Um, it is a minimum because that's how

2527
02:21:39,959 --> 02:21:41,800
Speaker 1: much all the other puppies are being sold for. And

2528
02:21:41,920 --> 02:21:45,000
Speaker 1: so if somebody, if it went for less than auction,

2529
02:21:45,120 --> 02:21:48,360
Speaker 1: then I'll just there's somebody in line wanting that puppy

2530
02:21:48,560 --> 02:21:52,520
Speaker 1: for hundreds, So that's what we'll do. Well the red tape,

2531
02:21:52,520 --> 02:21:56,800
Speaker 1: you gotta come get it, um. Yeah, So right now

2532
02:21:57,040 --> 02:22:00,160
Speaker 1: because of COVID, you can't fly the dog anywhere. Lot

2533
02:22:00,200 --> 02:22:02,400
Speaker 1: of times with with this you can just ship the

2534
02:22:02,480 --> 02:22:04,840
Speaker 1: dog to where you're at. But because of COVID, you

2535
02:22:04,959 --> 02:22:07,640
Speaker 1: can't fly with the dog. So you probably have to

2536
02:22:07,720 --> 02:22:11,080
Speaker 1: come to get it. And that's in North Dakota, not

2537
02:22:11,200 --> 02:22:15,800
Speaker 1: in Texas, North Dakota. Minimum you gotta pick it up,

2538
02:22:17,600 --> 02:22:21,840
Speaker 1: and it got all the paperwork. Yeah, does that person,

2539
02:22:26,320 --> 02:22:30,240
Speaker 1: we'd like them too, But they don't have to just

2540
02:22:30,360 --> 02:22:32,480
Speaker 1: let Spencers take it off the table and they'll have

2541
02:22:32,640 --> 02:22:34,760
Speaker 1: to go through all this auction stuff. I'll set the

2542
02:22:34,800 --> 02:22:38,400
Speaker 1: minimum bid, and I think I say pick of the litter.

2543
02:22:38,720 --> 02:22:43,800
Speaker 1: It's really what like I think most reputable breeders will do,

2544
02:22:44,160 --> 02:22:46,520
Speaker 1: is they watch these puppies as they start growing up,

2545
02:22:46,640 --> 02:22:50,200
Speaker 1: and they can start to tell differences in their qualities.

2546
02:22:50,840 --> 02:22:53,120
Speaker 1: And if you're a guy that's looking for like this

2547
02:22:53,320 --> 02:22:55,560
Speaker 1: certain type of dog, this is the dog for you.

2548
02:22:55,680 --> 02:22:57,640
Speaker 1: If you're looking for something else, this is the dog

2549
02:22:57,720 --> 02:23:01,560
Speaker 1: for you. So it's it's not like I feel like

2550
02:23:01,640 --> 02:23:03,680
Speaker 1: the pick of the litter is kind of a cheesy term.

2551
02:23:03,800 --> 02:23:05,400
Speaker 1: But yeah, if you took it and showed at pictures

2552
02:23:05,440 --> 02:23:09,520
Speaker 1: of house cats and watch how it responded, they're all

2553
02:23:09,600 --> 02:23:12,000
Speaker 1: going to have a scuffle with a house cat. So

2554
02:23:12,160 --> 02:23:15,880
Speaker 1: that's another red day. You probably shouldn't have a housecat

2555
02:23:15,959 --> 02:23:24,840
Speaker 1: you deeply love. Oh Spencer, you're out this cat lady.

2556
02:23:24,959 --> 02:23:30,600
Speaker 1: I think I think you can because like Bart George,

2557
02:23:31,040 --> 02:23:34,920
Speaker 1: you wouldn't believe it. He's got at least two I

2558
02:23:35,000 --> 02:23:38,160
Speaker 1: think house cats lion kill a house bowl of hounds.

2559
02:23:38,480 --> 02:23:41,240
Speaker 1: And when Mingus has stayed over there recently a couple

2560
02:23:41,280 --> 02:23:44,360
Speaker 1: of times. It's just like we kind of talked to

2561
02:23:44,480 --> 02:23:46,600
Speaker 1: Mangus and he's like, yeah, don't let him because that

2562
02:23:46,760 --> 02:23:49,360
Speaker 1: cat will f up your dog. And I'm like really,

2563
02:23:49,879 --> 02:23:51,879
Speaker 1: and so we kind of talked to Mingus and yeah,

2564
02:23:51,920 --> 02:23:54,600
Speaker 1: after a couple of passed buys, Manx is like, I'm

2565
02:23:54,640 --> 02:23:57,680
Speaker 1: not messing with Bart's lion hounds. Like, but that cat

2566
02:23:57,800 --> 02:23:59,959
Speaker 1: they live in the house. Yeah, they live in the house.

2567
02:24:00,080 --> 02:24:01,880
Speaker 1: Us with it. What do you say to Mingus when

2568
02:24:01,920 --> 02:24:05,039
Speaker 1: you're like laying out what's going on to say, no, okay,

2569
02:24:06,000 --> 02:24:10,360
Speaker 1: yeah there. My kid's dog was like, not like a

2570
02:24:10,440 --> 02:24:16,520
Speaker 1: genius dog, but I gotta where. I gotta where. It's

2571
02:24:16,720 --> 02:24:20,880
Speaker 1: not animal school. That dog knows not touching animal skull.

2572
02:24:21,160 --> 02:24:24,240
Speaker 1: It just knows because early from the day it came over,

2573
02:24:24,320 --> 02:24:27,280
Speaker 1: I'm like no, and now it's like say, yeah, I

2574
02:24:27,360 --> 02:24:32,440
Speaker 1: get it, I get it. I actually had to give

2575
02:24:32,520 --> 02:24:34,200
Speaker 1: up like an access dear rug in my house to

2576
02:24:34,280 --> 02:24:36,000
Speaker 1: my dog because he was so obsessed with it's like

2577
02:24:36,120 --> 02:24:39,960
Speaker 1: his rug. Now, yeah, it's his Like from I am

2578
02:24:40,040 --> 02:24:44,600
Speaker 1: surprised that we've somehow our dogs know the difference between

2579
02:24:44,640 --> 02:24:46,880
Speaker 1: well obviously taxter, I mean they don't they have no

2580
02:24:47,080 --> 02:24:50,320
Speaker 1: interest in any tax that smells like chemicals and stuff. Yeah,

2581
02:24:50,440 --> 02:24:54,080
Speaker 1: and then we have like this shelf of just sheds

2582
02:24:54,640 --> 02:24:56,840
Speaker 1: that like we don't want them to touch that. But

2583
02:24:57,000 --> 02:25:00,160
Speaker 1: I've started picking up little sheds and I give out

2584
02:25:00,160 --> 02:25:02,600
Speaker 1: to him and they know the difference somehow. I don't

2585
02:25:02,600 --> 02:25:05,320
Speaker 1: know how. Yeah. Yeah, my kids dog is the same thing.

2586
02:25:05,360 --> 02:25:07,280
Speaker 1: If it finds antler out in the yard, little chew it.

2587
02:25:07,480 --> 02:25:09,199
Speaker 1: There's no way in hell to chew an antler inside

2588
02:25:09,240 --> 02:25:11,400
Speaker 1: the house. Yeah, maybe my dogs aren't that smart. I

2589
02:25:11,480 --> 02:25:13,920
Speaker 1: had a life size have a life size mountain goat

2590
02:25:14,120 --> 02:25:16,560
Speaker 1: mount and it was in the house for a little bit,

2591
02:25:16,640 --> 02:25:18,680
Speaker 1: like I had to bring it inside before I transported it,

2592
02:25:18,800 --> 02:25:21,080
Speaker 1: and my dog like lost his mind about this animal.

2593
02:25:21,160 --> 02:25:22,480
Speaker 1: Like he would just circle it and be like what

2594
02:25:22,600 --> 02:25:25,080
Speaker 1: is this thing? Like for hours on end. You'd be like,

2595
02:25:25,160 --> 02:25:26,640
Speaker 1: where's Jonah And You're like, oh, he's in there, like

2596
02:25:27,240 --> 02:25:30,520
Speaker 1: like staring at the mountain goat. Yeah, my dog right

2597
02:25:30,560 --> 02:25:35,600
Speaker 1: now is uh um three D target. I took it

2598
02:25:35,640 --> 02:25:40,039
Speaker 1: off the box. The dog is not relaxed in the yard.

2599
02:25:40,840 --> 02:25:43,680
Speaker 1: It's like it's like a little mini elk one, you know,

2600
02:25:44,560 --> 02:25:46,200
Speaker 1: and thinks since that thing has been the yard. A

2601
02:25:46,280 --> 02:25:49,080
Speaker 1: dog is just like eyeballs. It walks around and sneaks

2602
02:25:49,200 --> 02:25:51,920
Speaker 1: up on it. It's just waiting to do something. It's

2603
02:25:51,959 --> 02:25:54,560
Speaker 1: like at that point in time, that thing is gonna

2604
02:25:56,360 --> 02:25:59,400
Speaker 1: think he's gonna beat my ass. All right, man? So

2605
02:26:00,560 --> 02:26:06,080
Speaker 1: uh finished my thoughts. The dogs coming stay tuned should

2606
02:26:06,160 --> 02:26:08,880
Speaker 1: be the first thing we auction off. Well, it's so

2607
02:26:09,520 --> 02:26:13,560
Speaker 1: I think the duration of the pregnancy is sixty days

2608
02:26:13,920 --> 02:26:16,320
Speaker 1: and then there's eight weeks until you can take the

2609
02:26:16,360 --> 02:26:17,760
Speaker 1: puppy home. So I don't know if you want to

2610
02:26:17,879 --> 02:26:20,400
Speaker 1: wait to like put it on auction until the puppy

2611
02:26:20,520 --> 02:26:22,840
Speaker 1: is born and we know how many there are? Can

2612
02:26:23,760 --> 02:26:27,400
Speaker 1: you need? Are? Oh? Yeah? D some bids off sense

2613
02:26:27,400 --> 02:26:29,080
Speaker 1: he's gonna wat, he's gonna see them cute poppy, and

2614
02:26:29,120 --> 02:26:30,920
Speaker 1: you really don't want like a new born photo. You

2615
02:26:31,000 --> 02:26:33,720
Speaker 1: want like a four week photo that they're so cute

2616
02:26:33,720 --> 02:26:35,800
Speaker 1: because they're born with little beards. Is like a little

2617
02:26:35,840 --> 02:26:42,040
Speaker 1: Benjamin Button furniture. Well, because here's the thing too, is

2618
02:26:42,200 --> 02:26:44,880
Speaker 1: the he's like a cat lady. But I think it's

2619
02:26:44,920 --> 02:26:47,880
Speaker 1: his wife's cats. Am I wrong? That's right? He this

2620
02:26:48,000 --> 02:26:53,320
Speaker 1: might all be part of his plan. No, I have

2621
02:26:53,480 --> 02:26:55,800
Speaker 1: no idea that that kind of dog was hard on cats.

2622
02:26:56,840 --> 02:26:59,720
Speaker 1: No one told me that, And all of a sudden,

2623
02:26:59,720 --> 02:27:02,080
Speaker 1: you're not a can't lead all right, every bay, thanks

2624
02:27:02,120 --> 02:27:08,000
Speaker 1: for joining. Stay tuned for meeting or cooks. Yep. Daniel

2625
02:27:08,120 --> 02:27:14,640
Speaker 1: show in hopefully October, and hopefully before then we'll get

2626
02:27:14,640 --> 02:27:17,600
Speaker 1: down to the Maybe not sometime around then we'll get

2627
02:27:17,600 --> 02:27:19,800
Speaker 1: down to auction and just puppy off. Yeah, look at

2628
02:27:19,840 --> 02:27:23,640
Speaker 1: it before that, take care of all you can't problems. Okay,

2629
02:27:24,720 --> 02:27:25,400
Speaker 1: thanks for joining,