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

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Speaker 1: severely bug bitten 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 light, Go farther, stay longer. Alright, eybody,

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Speaker 1: this isn't a podcast anymore. It's not a lab if

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Speaker 1: if that, if that wasn't true, than explained this to me.

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Speaker 1: Why do I have this lab coat? Because you're official Jice?

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Speaker 1: Jessice got his lab quote on We Now as promised,

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Speaker 1: we have taken as promised the previous episodes, we have

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Speaker 1: taken possession of and we didn't get an industry deal

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Speaker 1: on this expensive yeah, our very first piece of meat

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Speaker 1: lab equipment. Did they even cut us a deal? Cran, Well,

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Speaker 1: they cut us a deal? Oh wow? Seriously? Alright, so

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Speaker 1: we still got thousands sunk into this, but I'm gonna

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Speaker 1: give him a shot. Cut us deal from g R

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Speaker 1: Electric Manufacturing Company. We have the g R one? Do

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Speaker 1: we have that? And what one do we have? Chester

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Speaker 1: that one right there that you're looking at, but the

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Speaker 1: one fifty two? Ah? Or do we have both? I

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Speaker 1: think that. I think that it's both the same like machine,

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Speaker 1: but the Warner Bratzler this mechanism here where it actually shears.

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Speaker 1: Oh that's I think so, but I'm you know, I'm

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Speaker 1: not on that. Okay. So here we're running the what's that, Sean,

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Speaker 1: You sound real qualified? Yeah, exactly. Hey, we're running the

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Speaker 1: g R and the Warner Bradsler shearing machine exclusively distributed

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Speaker 1: by Tall Grass Solutions, Inc. Out Of Manhattan, Kansas. And

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Speaker 1: what this is is when someone comes and tells you

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Speaker 1: I shot a I shot a bucket. It was so tough,

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Speaker 1: my white you the dog wouldn't right you. Uh, we

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Speaker 1: can now put a numeric value to to wild game toughness.

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Speaker 1: Call him out on it. Chester the tester has been

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Speaker 1: so he's back at full circle. Yep, that was That

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Speaker 1: was your first nickname, right, it was? So he went

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Speaker 1: from Chester the Testerster was first. Well, I gotta tell

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Speaker 1: your story with a quick second. Kimmy Warriners here, Jimmy,

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Speaker 1: you know how tonight we were supposed to eat um

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Speaker 1: at the Timber Bar and Big Timber. But we're not

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Speaker 1: going anymore. We're gonna eat at my house. One day,

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Speaker 1: I barely knew Chester and me and Chester driving down

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Speaker 1: the road with my kids and we're going we're out

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Speaker 1: beaver trapping and we're going to get a bite to

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Speaker 1: eat at the Timber Bar. It's called the Timber Bar, right.

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Speaker 1: It's next to the Grand Hotel in Big Timber, So

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Speaker 1: it is the Timber Bar. Yeah, it's got a great

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Speaker 1: neon sign, barely New Chester. And I'd order taken to

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Speaker 1: calling them Chester the Molester, So I would say, well,

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Speaker 1: everybody does, right, just do you? You don't like the story.

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Speaker 1: It's a funny story, it's a great story. The nickname

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Speaker 1: really you know your store because mom doesn't like it. Listen,

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Speaker 1: this is the last time I'm gonna tell the story. Okay,

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Speaker 1: tell the story. Yeah, tell it fire away, Steve, I'm

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Speaker 1: saying to him, well, everybody probably calls you that, right,

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Speaker 1: like I just saw. I thought every Chester on the

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Speaker 1: planet went by that name. He says, well, no, it

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Speaker 1: actually never really happens. So we walk into the Timber Bar.

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Speaker 1: Outcomes the chef who wants to say hi. Mid fifties

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Speaker 1: mid fifties woman. Yeah, probably she comes out and say hi.

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Speaker 1: I say, we like do our greetings? I say, oh,

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Speaker 1: these are my kids, is my friend Chester. Imagine like

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Speaker 1: a nice Midwestern type looking but in the rocky, but

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Speaker 1: in the northern rock She she do just as well

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Speaker 1: in the Midwest. I say, this is my friend Chester,

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Speaker 1: and what does she say? Chester? She says Chester the molester. Chester,

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Speaker 1: like seconds after he told me no one calls him that.

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Speaker 1: Then I knew he was lying. I've only heard that

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Speaker 1: one other time and from a jud So we go background, ma'am.

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Speaker 1: Then he became Chester the Investor when he got heavy

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Speaker 1: into bid coin sold his bitcoin and became Chester the Divester.

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Speaker 1: Then he became Chester the Midwester, which is a favorite

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Speaker 1: of mine. Now back to cheddar ch. Now back to

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Speaker 1: Chester the tester, because he has learned how to run

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Speaker 1: our wild game. It's our meat, tenderness, cheerful. He was

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Speaker 1: also a Chester that um, no, he was investor, and

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Speaker 1: now he was Midwestern Uncle Chester. It was investor, divester,

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Speaker 1: Uncle chesty. Okay, it was brad Leoni named him because

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Speaker 1: Brad was I was. I was telling I was inviting

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Speaker 1: Brad to to pal paid Chester's packs. And when he

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Speaker 1: this is after Chester was had spent his whole life

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Speaker 1: rowing a boat. He was a professional fishing guide. So

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Speaker 1: he had to roll that damn boat all day and

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Speaker 1: he was saying how his pecks were getting depleted after

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Speaker 1: leaving that business, so I quit the quit the rowing

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Speaker 1: and lost aspects and started a lab here back to

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Speaker 1: chest of the testing. Now he's back to chest of

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Speaker 1: the test. The Warner brass or Sheer machine. What we're

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Speaker 1: gonna do this is gonna be an ongoing project like

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Speaker 1: we already have in the lineup. We have odd Dad,

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Speaker 1: which is universally regarded as like the toughest game meat.

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Speaker 1: Not doing it right now, but everybody that has an audient,

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Speaker 1: I'll tell you how tough it is. So we're gonna

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Speaker 1: do an odd Ad. I tried elk at my house, okay,

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Speaker 1: but we're gonna do it again here for everybody, for

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Speaker 1: everybody to listen to. We have a feral bull in

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Speaker 1: the lineup. Yeah, collected by one Cody Ferrying out of

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Speaker 1: New Mexico, and listeners can just send in how should

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Speaker 1: they do it? You know, we always making up those

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Speaker 1: email addresses that we got like fuck up old taxes,

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Speaker 1: Jermy at the meat eater dot com. Yeah, we could

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Speaker 1: do like test my meat. Okay at the meat eater

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Speaker 1: someone better. Okay, can you take a note to tell

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Speaker 1: the those guys that make that email address for test

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Speaker 1: my meat. Okay, send an email. We'll make sure it's

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Speaker 1: you can we make sure this is real by the time. Okay,

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Speaker 1: there's a neat it doesn't it? Okay, as you're listening

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Speaker 1: to this, this email address exists. Test my meat. I

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Speaker 1: feel so bad for Corey. Test my meat at the

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Speaker 1: meteor dot com. Please make it legal. Oh no, no, here,

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Speaker 1: let's do this. And what is the normal email address

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Speaker 1: meat eater at like meat eater at the meat eater

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Speaker 1: dot that's the normal thing. Okay, let's not make a

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Speaker 1: new email address the subject line, subject line, subject line

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Speaker 1: in all caps, test my meat. That way, Corey will

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Speaker 1: see it and he'll know to instantly forward it to Chester.

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Speaker 1: Are you Are you going to be able to manage this? No,

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Speaker 1: as I can guarantee you know, I mean to a

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Speaker 1: certain extent. Yeah, okay, not during the tournament season, Steve,

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Speaker 1: not during the tour. But you send an email says

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Speaker 1: test my meat, and then you make a pitch and

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Speaker 1: Chester will weigh at scientific merit with his backward hat on,

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Speaker 1: with his backward hat on as he'll put his goggles

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Speaker 1: on and read your email, and he will weigh the

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Speaker 1: scientific merit of the meat, and he will decide whether

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Speaker 1: he'll accept a sample. If he accepts a sample you

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Speaker 1: fired off in the mail, Chester, have we and you'll

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Speaker 1: get your own custom reading. You'll get your own custom reading.

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Speaker 1: So when people say, when you say this meat is

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Speaker 1: this buck was so tough? In fact, it was a

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Speaker 1: five point two, have we set a scientific sort of

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Speaker 1: have we decided what scale is tough? What scale is tender? Chester?

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Speaker 1: Because he read all the manual. Okay, all right, so

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Speaker 1: we had that. I'm handing it over to Chester, now,

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Speaker 1: Jester explained the machine. Sure, So, um, it's a sheer

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Speaker 1: force test and you basically core out. Would you take

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Speaker 1: a little core sample out of whatever you want to test,

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Speaker 1: Whether that's a peep, which will that's a marshmallow peep?

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Speaker 1: Save that? Yeah? Save that? Just do it, do it

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Speaker 1: your own way. But people know what to explain what

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Speaker 1: you mean by a peep? Yeah, not one of your friends. No, No,

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Speaker 1: this is a little easter This is a little easter

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Speaker 1: bunny that if anybody had easter baskets growing up, your

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Speaker 1: mother would put some little yellow or purple Easter bunny

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Speaker 1: marshmallows in there. YEA a kind of didn't know. It's

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Speaker 1: sparkly wild berry peeps. Sparkly wild berry um. They're really

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Speaker 1: really good toasted like a toasted marshmallow. Just a little

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Speaker 1: tip for everybody. Uh. But so we're gonna test the

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Speaker 1: peep and it should be pretty tender on this tenderness scale,

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Speaker 1: which is an international scale. Yeah, and we're doing we're

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Speaker 1: doing some simple things that everyone is very familiar with,

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Speaker 1: just to set to help set the scale correct. And

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Speaker 1: it's in kims. So let's say we test out this

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Speaker 1: peep and it ends up being around a two that

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Speaker 1: is tender. Let's say we tested this peep and it

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Speaker 1: ended up being around a four that is acceptable. Let's

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Speaker 1: say we tested it out and it ended up being

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Speaker 1: a six, that'd be one tough peep. Here's my here's

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Speaker 1: a question about the scale, because you're I feel like

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Speaker 1: you're doing there's two things happening with with how you're

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Speaker 1: treating the scale. On one hand, it's like you're you're

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Speaker 1: you're assigning an objective number to meet tenderness um, which

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Speaker 1: is which I applaud. But then for them to say

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Speaker 1: that a four to three is acceptable. Then you've entered

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Speaker 1: into subjectivity. So they're taking an objective scale but interpreting

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Speaker 1: it subjectively, which is annoying to me. Well, in grading meat,

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Speaker 1: I think they do that, Like if they're testing a

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Speaker 1: way Goo beef steak and they get a four, they're like,

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Speaker 1: you know, that's that's accepted, Like we can still send

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Speaker 1: this out, right, Yeah, I'm with you, Like the market will.

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Speaker 1: It's like the market will accept the market will accept it.

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Speaker 1: It feels somewhat. That feels that's feels somewhat it's subjective,

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Speaker 1: but it's also relative, like and I think that's what's

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Speaker 1: important about it is that it's relative to other carcasses

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Speaker 1: of the same species. So you're testing a bunch of

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Speaker 1: beef next to each other and and sort of grading

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Speaker 1: it against one another. So it's your lot, what's that?

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Speaker 1: It's your lot? So yeah, four cattle that come in

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Speaker 1: on the same truck from the same place, then I

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Speaker 1: could see testing one, right, But it's still we're dealing

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Speaker 1: with individual animals here for sure, And I think that's

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Speaker 1: what we're I mean, I will see, but I think

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Speaker 1: we're gonna see like drastic differences between same species individual animals,

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Speaker 1: and the peep isn't technically a species. The peeple Like,

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Speaker 1: I think we're gonna have a fairly universal reading regardless

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Speaker 1: of what color peep we actually run. This chess is

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Speaker 1: gonna quarter the peep out. Okay, uh, now explain one,

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Speaker 1: explain one more thing you. Here's the part that I

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Speaker 1: didn't recall because I watched people do this in the

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Speaker 1: lab with a with a breed. They were breeding wag

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Speaker 1: ou cattle with limousine cattle, and they were testing the

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Speaker 1: carcass attributes. I remember them cutting a little plugs out, correct,

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Speaker 1: But I forgot that. You then go and uh stick

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Speaker 1: the plug in the machine. I thought it was measuring

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Speaker 1: the forest required to cut out a plug, but the

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Speaker 1: plug is just preparing the sample. Correct. Um. Do you

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Speaker 1: want me to get into that talkers, Yeah, I think

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Speaker 1: you should walk us through doing a peep before we

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Speaker 1: get into some what we're gonna do today, because we're

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Speaker 1: trying to milk this out because it was so expensive.

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Speaker 1: If we if this machine was like we'd probably use

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Speaker 1: it this today and never talk about it again because

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Speaker 1: it was so damn expensive. We gotta do this. We're

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Speaker 1: gonna milk it out and slowly test up so later

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Speaker 1: when we look at the machine, we won't be like

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Speaker 1: else stupid. Yeah right, so we're just gonna get rolling today. Yeah.

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Speaker 1: So let's this, This little peep doesn't have muscle fibers.

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Speaker 1: If he did, we want to make sure we're taking

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Speaker 1: up as accurate of course samples as we can, so

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Speaker 1: they're all very uniform and similar. But it does not

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Speaker 1: matter that much with this guy. For this meat, for example,

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Speaker 1: you want to be taking the course a core sample

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Speaker 1: in parallel with the grain, so when you're you stick

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Speaker 1: it in the machine, you're sharing it perpendicular across the grains,

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Speaker 1: so you get an even tests. So so you're cut

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Speaker 1: you the machine is like, yeah, it'd be like if

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Speaker 1: you're slicing a roast up and your nice passing through

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Speaker 1: your probably when you slice the roast up, your knife

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Speaker 1: is passing through cross grain correct ye, And a lot

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Speaker 1: of the times when you bite into it you potentially

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Speaker 1: be biting cross grains. So that's why they have it

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Speaker 1: like that. Um. Another key thing to factor in when

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Speaker 1: we're doing these tests, as you have to cook the

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Speaker 1: meat evenly. Let's say we had an elk sitting there

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Speaker 1: and we had an antelope sitting there. You want to

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Speaker 1: make sure you're between them. You want to make sure

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Speaker 1: the center of that meat is cooked the same or

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Speaker 1: else you're not going to have an accurate test. And

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Speaker 1: then you have to let it sit in the fridge

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Speaker 1: overnight and kind of let things settle and harden up,

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Speaker 1: and then take your core samples. You'll get a better

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Speaker 1: core sample that way. So when you when you folks

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Speaker 1: out there start sending uh meat to Chester, um, we

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Speaker 1: will be do it. We'll do this exact procedure. If

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Speaker 1: you accept the sample, you'll like, couldn't do a certain temperature,

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Speaker 1: let a chill overnight, right, and it'll be it'll line

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Speaker 1: up with the same treatment every piece of meat, correct,

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Speaker 1: any signed, any science stuff. You want to make sure

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Speaker 1: you're doing everything the same way, or else you're gonna

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Speaker 1: get really varying results. You know. That's what I always say, Hey,

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Speaker 1: what's cross grain on a peep? That's what he's saying.

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Speaker 1: He's were just just to set the just to give

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Speaker 1: people a because everybody has had a peep, so we

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Speaker 1: can't do that. But we're gonna give people, for instance,

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Speaker 1: a peep is blank, and then we can march from

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Speaker 1: there and start testing once we have like a we're

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Speaker 1: just trying to establish a baseline with people off a

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Speaker 1: universally recognized substance. So I'm gonna cut cut this peep

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Speaker 1: up here, and it's like Easter coming up. I'm not

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Speaker 1: gonna use is the core sample? Can I interrupt you

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Speaker 1: real quick? I'm in a bit of hot water. Ah,

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00:16:06,320 --> 00:16:09,640
Speaker 1: Wisconsin kind of screwed me because they made youth Turkey

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Speaker 1: season on Easter. I didn't check to I just like

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Speaker 1: made the trip for my kids, like with minus their mom,

253
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Speaker 1: and then it was pointed out to me that it

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Speaker 1: was easter. Yep, hot water. I can get a lot

255
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Speaker 1: of people pointed out to get a very nice way.

256
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Speaker 1: I've heard it doing a lot of work. Well, should

257
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Speaker 1: we go for it. I'm not going to use the

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Speaker 1: core sample for this, just because I don't want to.

259
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Speaker 1: I don't want to get it all to do the meat.

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Speaker 1: So we'll just use the knife here, just just cutting

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Speaker 1: the man. If you thought people were miffed that we

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Speaker 1: did a whole thing on flint and napping without being

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Speaker 1: able to see what we were talking about, that same

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Speaker 1: crowd is going to be miffed about this Chesters slicing

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Speaker 1: up the peep It's stuck to his glove. It's stuck

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Speaker 1: to his lab coat because he's got his goggles on. Yeah,

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Speaker 1: this is getting more and more scientific. About a minute,

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Speaker 1: he's cut the core. Can you can I see the cord?

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Speaker 1: Can you hit me the court? I want to describe

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Speaker 1: the cord to people. This thing is sticky, so I'm

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Speaker 1: afraid it's gonna affect the results. Yep, just give us

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00:17:38,520 --> 00:17:42,480
Speaker 1: bad reading. If it doesn't work, we'll clean it up

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Speaker 1: with some rubbing alcohol. That's a lab type thing. I

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00:17:46,280 --> 00:17:48,920
Speaker 1: was looking for it, and then we'll go on to

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Speaker 1: the whitebread. So the core that he's Chester has looks

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Speaker 1: like a shotgun choke. It's got the textured and textured

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Speaker 1: like a shotgun choke. But it's just a cylinder, a

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00:18:00,160 --> 00:18:02,199
Speaker 1: sharp cylinder, and I think that's about a centimeter right.

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Speaker 1: Once you say cal cut a centimeter plug. Yeah, your

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00:18:07,160 --> 00:18:10,200
Speaker 1: machine on, it's on. It's ready to roll. There's this

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Speaker 1: emergency shut off buttons. Okay, if things go to hell.

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Speaker 1: If things go to hell, Chester is gonna punch that

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Speaker 1: emergency shut off button. Chester. I don't want to panick you,

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Speaker 1: but your knife is kind of in the way of

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Speaker 1: that emergency shut off, so we could end up with

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Speaker 1: another accident. You're gonna just discussed workers complement a moment again.

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Speaker 1: You're already gonna be in some dire situation and then

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Speaker 1: go to hit that and then gash your hand further

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Speaker 1: on your knife. Okay, so it's loaded up. Chester will

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Speaker 1: now hit Wow, that is a real serious emergency shut off. Breath, Okay,

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Speaker 1: hit the do we want to take a few peep

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Speaker 1: core sample tests so we get a mean no, no,

293
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Speaker 1: I see Now that was the most scientific thing I've

294
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Speaker 1: heard all Day's gonna throw the switch? He threw the switch.

295
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Speaker 1: It's sheering what this thing runs at a hell of

296
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Speaker 1: a pace. If you blinked, you'd be able to wait

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Speaker 1: and then still see it. So that is point five

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Speaker 1: six ms. So if people know a peep, if you're

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Speaker 1: trying to describe to someone, Let's say you're trying to

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Speaker 1: describe to an alien who's never had a peep and

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Speaker 1: you'd say to him, yeah, it's real. Uh well, let

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Speaker 1: me just tell you it's a point five six jester.

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Speaker 1: How scientific is it to eat the sample as you're

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Speaker 1: doing the test. I've done that because that's what that's

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Speaker 1: what he's come on. You ever been in a lab,

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Speaker 1: That's what you do when you're done testing a material. Okay,

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00:19:45,040 --> 00:19:46,919
Speaker 1: so peep is point five six Chester. Do you think

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Speaker 1: we should move on to the bread or just go

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Speaker 1: right into a prong horn? Oh? I want to see

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Speaker 1: white bread. I think we try bread. The bread will

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Speaker 1: cleaned some of that peep out of the just a

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Speaker 1: quick well, no, here's a quick tip for people. I've

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Speaker 1: been doing it lately and it works phenomenally. Well. You

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Speaker 1: know when you're grinding. When you're grinding uh burger m,

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00:20:10,800 --> 00:20:12,720
Speaker 1: you get done and there's always that right. Then you

316
00:20:12,760 --> 00:20:14,879
Speaker 1: go to clean it and you always have that handful

317
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Speaker 1: that then like the next morning whatever, make a patty.

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Speaker 1: You know, you don't know what to do with it,

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Speaker 1: right because it came out in the end, uh or

320
00:20:24,359 --> 00:20:26,760
Speaker 1: like stuff and sausage into casings, you always get that

321
00:20:26,760 --> 00:20:30,840
Speaker 1: little bit of bulk stick some old bread there. The

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00:20:31,000 --> 00:20:36,119
Speaker 1: fire down the whole and it pushes out what's left,

323
00:20:36,240 --> 00:20:37,439
Speaker 1: and then when you clean it, you just got some

324
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Speaker 1: old bread in there instead of having like more ground meat.

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Speaker 1: You gotta deal with yep. What do you think about that?

326
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Speaker 1: What do you put in there. But what's that said?

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Speaker 1: What are you putting there to get the old bread out?

328
00:20:47,160 --> 00:20:55,040
Speaker 1: Piece of meat? Then you got yourself a couple more eggs.

329
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Speaker 1: And some people don't realize it, but that's where the

330
00:20:57,480 --> 00:21:01,160
Speaker 1: sandwich came from. The sandwich something. The sandwich was invented.

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Speaker 1: You need your core? Thank you? All right? Okay, Chester's

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00:21:05,800 --> 00:21:08,720
Speaker 1: now taking a core sample out of a hunk of

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Speaker 1: Joe blow. Now when I said get bread, I was

334
00:21:11,800 --> 00:21:14,760
Speaker 1: pictured you can like white bread. You know. The problem

335
00:21:14,800 --> 00:21:16,480
Speaker 1: is I just realized you can't get a core off it.

336
00:21:17,640 --> 00:21:19,680
Speaker 1: You have to get it pretty sliced. You have to

337
00:21:19,680 --> 00:21:22,480
Speaker 1: go to the wonderbread factory. And right before they don't

338
00:21:22,600 --> 00:21:28,639
Speaker 1: do it. Yeah, isn't it hard to picture? It's almost

339
00:21:28,640 --> 00:21:36,160
Speaker 1: like it's it's like it's like made slice yeah, cartoon yeah,

340
00:21:36,240 --> 00:21:41,200
Speaker 1: and spits out slices exactly. I can promise you the

341
00:21:41,200 --> 00:21:43,480
Speaker 1: people at the Wonderbread factory would be like they would

342
00:21:43,560 --> 00:21:51,080
Speaker 1: hit the emergency stopped button if you said, don't slice it. See,

343
00:21:51,320 --> 00:21:53,840
Speaker 1: you know what it's like. He predicted the problem that

344
00:21:53,880 --> 00:21:56,200
Speaker 1: we were about to have. Now we guys, for the record,

345
00:21:56,240 --> 00:21:59,640
Speaker 1: we have bread stuck in our course. Cutter. It's this

346
00:21:59,680 --> 00:22:04,000
Speaker 1: isn't made for bread when you're when you guys are

347
00:22:04,040 --> 00:22:08,959
Speaker 1: making uh sausage and you're running through the stuffer. Uh,

348
00:22:09,040 --> 00:22:11,439
Speaker 1: how do you get the final meat out of the tube?

349
00:22:11,440 --> 00:22:14,520
Speaker 1: Plastic wrap? What do you mean? You take like a

350
00:22:14,600 --> 00:22:18,600
Speaker 1: three ft long piece of wrap and you put it

351
00:22:18,640 --> 00:22:21,280
Speaker 1: down and the auger will pull it and it pushes

352
00:22:21,600 --> 00:22:24,040
Speaker 1: it through, pushes the rest of it through like on

353
00:22:24,080 --> 00:22:26,280
Speaker 1: a grinder or in the stuffer. It creates a little

354
00:22:26,280 --> 00:22:29,320
Speaker 1: ball and it pushes it out. I don't understand. I

355
00:22:29,320 --> 00:22:32,840
Speaker 1: don't know how to better describe. I do something that

356
00:22:32,880 --> 00:22:37,399
Speaker 1: I wouldn't do in front of anybody, Okay, where I

357
00:22:38,720 --> 00:22:41,280
Speaker 1: blow it through. Yeah, that's what chest I trying to

358
00:22:41,280 --> 00:22:43,879
Speaker 1: do with that. So but explain what you're talking about.

359
00:22:43,880 --> 00:22:45,879
Speaker 1: So we take a piece of like like your box

360
00:22:45,920 --> 00:22:49,240
Speaker 1: of plastic wrap you have, we're talking using this stuff exactly.

361
00:22:49,880 --> 00:22:52,800
Speaker 1: So we un crank it, you know, back up to

362
00:22:52,840 --> 00:22:55,680
Speaker 1: the top, and then we put a ball of plastic wrap,

363
00:22:55,720 --> 00:22:58,199
Speaker 1: like you just pull plastic wrap off the you know,

364
00:22:58,240 --> 00:23:00,359
Speaker 1: off the dispenser, and hours are pretty big, you know,

365
00:23:00,400 --> 00:23:03,080
Speaker 1: so it's like maybe wide, so it's twice as wide

366
00:23:03,080 --> 00:23:05,320
Speaker 1: as a home piece of plast crap. And we'll pull

367
00:23:05,359 --> 00:23:08,520
Speaker 1: like a three ft chunk, slice it off and throw

368
00:23:08,560 --> 00:23:10,040
Speaker 1: it kind of ball it up and throw it in

369
00:23:10,080 --> 00:23:12,440
Speaker 1: the stuffer. And when you crank it down, because it's

370
00:23:12,480 --> 00:23:16,440
Speaker 1: plastic wrap, it changes its shape and it will extrude

371
00:23:16,480 --> 00:23:19,199
Speaker 1: that last bit of me. Yes, and we do it

372
00:23:19,200 --> 00:23:21,919
Speaker 1: with the grinder too. So well when you're grinding me,

373
00:23:22,000 --> 00:23:25,080
Speaker 1: why you not knowingly because we've covered this like three

374
00:23:25,160 --> 00:23:33,080
Speaker 1: years ago, almost not understood. Then either sausage suffer even

375
00:23:33,080 --> 00:23:36,240
Speaker 1: if it's empty. I mean, if it's empty, there's nothing

376
00:23:36,280 --> 00:23:40,200
Speaker 1: to get out of it, Steve, because the two yes, yes,

377
00:23:40,320 --> 00:23:43,240
Speaker 1: because there's a pressure chamber is empty. Yeah. Yeah, they're

378
00:23:43,280 --> 00:23:45,119
Speaker 1: the air pressure behind it's gonna push it out. It's

379
00:23:45,760 --> 00:23:50,480
Speaker 1: right there, hot. Yeah, on your grinder. You gotta be yeah,

380
00:23:50,480 --> 00:23:52,840
Speaker 1: you gotta be on your game. Yeah, because you'll get

381
00:23:52,880 --> 00:23:55,400
Speaker 1: a little tiny chunks of plasts. Well, so with the grinder,

382
00:23:55,480 --> 00:23:59,280
Speaker 1: we we pull the front and pull the blade. So

383
00:23:59,320 --> 00:24:01,600
Speaker 1: we pulled the blade, eat off and then put it

384
00:24:02,160 --> 00:24:05,400
Speaker 1: put the thing back on and then run plastic wrap

385
00:24:05,440 --> 00:24:07,280
Speaker 1: through it and the auger grabs it and pushes the

386
00:24:07,320 --> 00:24:10,159
Speaker 1: rest of that meat out and same deal. Like mostly

387
00:24:10,160 --> 00:24:13,760
Speaker 1: it's air pushing exactly, It's just air pushing it out. Yeah, okay,

388
00:24:14,240 --> 00:24:16,000
Speaker 1: we're gonna check back in with chest with the tester.

389
00:24:16,720 --> 00:24:18,600
Speaker 1: We now have a ferry. Oh you got a course

390
00:24:18,600 --> 00:24:23,359
Speaker 1: sample the loafer briery. Not great looking course sample. Oh no,

391
00:24:23,520 --> 00:24:26,240
Speaker 1: what are you talking about. It's like it it looks

392
00:24:26,280 --> 00:24:29,080
Speaker 1: like a piece of like a goose dropping. Yeah exactly.

393
00:24:29,840 --> 00:24:31,879
Speaker 1: I mean it doesn't squishing it and making it more

394
00:24:31,960 --> 00:24:35,240
Speaker 1: dense like that, that'll affect the results. Man, well ship

395
00:24:37,040 --> 00:24:41,240
Speaker 1: fill down there. It's like, here comes Phil with his logic. Listen,

396
00:24:41,240 --> 00:24:47,960
Speaker 1: I got season my science class. I passed. Oh even so,

397
00:24:48,040 --> 00:24:51,800
Speaker 1: you know if you went and bought a really low

398
00:24:51,960 --> 00:24:57,680
Speaker 1: quality one dollar loaf, okay, so this is a loaf

399
00:24:57,800 --> 00:24:59,639
Speaker 1: of what the what would they call that? They're not

400
00:24:59,680 --> 00:25:02,520
Speaker 1: calling it French? Are they calling it her French bread? Okay,

401
00:25:03,320 --> 00:25:07,280
Speaker 1: but at one dollar loaf of French bread at Walmart,

402
00:25:08,920 --> 00:25:15,600
Speaker 1: it is twice as tender as a peep. Now, I

403
00:25:15,640 --> 00:25:18,359
Speaker 1: just want to point out that we're testing the interior.

404
00:25:18,359 --> 00:25:22,399
Speaker 1: We're testing the bread guts. We're not testing the exterior, which,

405
00:25:22,600 --> 00:25:25,399
Speaker 1: by the way, is generally what people associate with the

406
00:25:25,440 --> 00:25:27,440
Speaker 1: toughness of bread is the crust of the bread, not

407
00:25:28,160 --> 00:25:29,760
Speaker 1: talk about the bread. You don't You don't hear people

408
00:25:29,760 --> 00:25:31,560
Speaker 1: talk about artists and bread, how it's hard to chew

409
00:25:31,600 --> 00:25:33,720
Speaker 1: and stuff like that. Yeah, I guess yeah, like a

410
00:25:33,800 --> 00:25:41,880
Speaker 1: Sheboygan hard rolls. I think a very regionally specific piece

411
00:25:41,880 --> 00:25:43,760
Speaker 1: of bread. That's what I had in mind. So the scene,

412
00:25:43,800 --> 00:25:45,520
Speaker 1: the scene is now set, and we're ready to just

413
00:25:45,720 --> 00:25:48,800
Speaker 1: concentrate now extrictly on game meat for the red for

414
00:25:48,840 --> 00:25:51,760
Speaker 1: the rest of the life of this machine. Eight. Just

415
00:25:51,800 --> 00:25:54,560
Speaker 1: so you know, you've all had a loaf of French

416
00:25:54,600 --> 00:25:57,479
Speaker 1: bread before. A loaf of French bread comes in at

417
00:25:57,520 --> 00:26:03,520
Speaker 1: point to seven. Toughness, A peep comes in at point five,

418
00:26:04,160 --> 00:26:07,720
Speaker 1: six or eight, I think toughness. So we're not documenting

419
00:26:07,720 --> 00:26:12,320
Speaker 1: these numbers. We can scratch that down because someone scratch

420
00:26:12,359 --> 00:26:15,520
Speaker 1: that Phil, What are you doing down there looking for

421
00:26:15,560 --> 00:26:18,800
Speaker 1: a pen? I got it. I feel like it should

422
00:26:18,800 --> 00:26:20,840
Speaker 1: be like in a document now exactly. We need a

423
00:26:20,840 --> 00:26:24,119
Speaker 1: spreadsheet because you know what, whoever can said, should we

424
00:26:25,080 --> 00:26:27,720
Speaker 1: whoever sends in the Chester the toughest piece of meat

425
00:26:27,760 --> 00:26:33,240
Speaker 1: wins a prize. Oh boy, And don't get creative and

426
00:26:33,320 --> 00:26:35,440
Speaker 1: send in like your homemade jerky. By the way, like,

427
00:26:35,480 --> 00:26:38,000
Speaker 1: don't because we can't do we can't do exactly. You

428
00:26:38,040 --> 00:26:40,760
Speaker 1: gotta send in the hole muscle roasts. Yeah, or or

429
00:26:40,840 --> 00:26:45,320
Speaker 1: we should do like whoever sends in like a specific animal,

430
00:26:45,400 --> 00:26:48,800
Speaker 1: like the most tender white tail. We'll give a prize

431
00:26:49,040 --> 00:26:52,760
Speaker 1: for the most tender meat that comes in and a

432
00:26:52,840 --> 00:26:55,160
Speaker 1: prize for the toughest meat that comes in. What about

433
00:26:55,160 --> 00:26:58,399
Speaker 1: a trophy? Are we a petrophy? It's gonna be raised

434
00:26:58,400 --> 00:27:01,800
Speaker 1: on a farm of my bad? Yeah, well no, we

435
00:27:01,920 --> 00:27:04,560
Speaker 1: just got It's gotta be an honesty system, you know,

436
00:27:04,640 --> 00:27:07,400
Speaker 1: because you gotta submit. You gotta pitch Chester on your

437
00:27:07,400 --> 00:27:09,679
Speaker 1: meat when you say test my meat. Good picture of

438
00:27:09,880 --> 00:27:12,639
Speaker 1: the animal would be nice. It would be interesting to

439
00:27:12,720 --> 00:27:16,280
Speaker 1: test farm raised game animal versus truly wild ones. At

440
00:27:16,280 --> 00:27:20,920
Speaker 1: some point you just uh, you know, like go out

441
00:27:20,960 --> 00:27:25,600
Speaker 1: to Uncle Jeffson whack bambi in the alfalfa field versus

442
00:27:25,880 --> 00:27:28,000
Speaker 1: you're trying to do that to win the prize. Well,

443
00:27:28,000 --> 00:27:30,480
Speaker 1: I think just all these comparisons, right, once we build

444
00:27:30,520 --> 00:27:33,240
Speaker 1: up our data, this is gonna be oh right, I

445
00:27:33,240 --> 00:27:38,040
Speaker 1: think that's a great one. White tail home range of

446
00:27:38,080 --> 00:27:41,000
Speaker 1: probably like a mile born in May, killed in October,

447
00:27:41,560 --> 00:27:44,760
Speaker 1: lived on Uncle Jeff's alf alfa field. Probably never was

448
00:27:44,800 --> 00:27:47,359
Speaker 1: more than a hundred yards away from Yeah, from this

449
00:27:47,560 --> 00:27:52,399
Speaker 1: author the hedge. Yeah, what's he score? Yeah? Blueing teal

450
00:27:52,480 --> 00:27:56,199
Speaker 1: that hatches in July gets shot in September. That I

451
00:27:56,280 --> 00:27:58,200
Speaker 1: can't we got. I really am looking forward to doing

452
00:27:58,200 --> 00:28:01,000
Speaker 1: some duck. Were we at now? Chest? You're ready to

453
00:28:01,000 --> 00:28:05,920
Speaker 1: pull a corps? You guys ready for the official first test? Here?

454
00:28:06,040 --> 00:28:08,960
Speaker 1: We've been ready? Yeah? What what is it? So? This

455
00:28:09,040 --> 00:28:16,520
Speaker 1: is antelope? Steve gave it to me yesterday, pronghorn. It

456
00:28:16,680 --> 00:28:25,600
Speaker 1: was a medium buck. Did you run it for five miles? Him? Okay,

457
00:28:25,640 --> 00:28:29,320
Speaker 1: not know what hit him? He was eating and me

458
00:28:29,320 --> 00:28:34,720
Speaker 1: and my boy bushewa acting from a haystack. I had

459
00:28:34,760 --> 00:28:38,360
Speaker 1: no idea what was coming zero and didn't take a step.

460
00:28:39,520 --> 00:28:45,240
Speaker 1: That's good context. I can tell you this to yards.

461
00:28:45,280 --> 00:28:47,880
Speaker 1: Never took a step, didn't know what was coming a

462
00:28:48,080 --> 00:28:52,960
Speaker 1: medium sized box. So definitely a few years old. Uh,

463
00:28:53,160 --> 00:28:57,200
Speaker 1: opening day. His life was gone before the retoil recoil

464
00:28:57,240 --> 00:29:00,479
Speaker 1: settled on your shoulder. Opening day? What was the day? Like,

465
00:29:00,520 --> 00:29:03,360
Speaker 1: what's the you know the date? August whenever the held

466
00:29:03,680 --> 00:29:07,280
Speaker 1: Montana's Antlope opener was last year? No? No, it's October

467
00:29:07,320 --> 00:29:10,760
Speaker 1: of opening of general fire open opening of opening day

468
00:29:10,800 --> 00:29:13,200
Speaker 1: of Antalope firearm, and we're gonna put down there that

469
00:29:13,280 --> 00:29:16,239
Speaker 1: it was drizzling, and we got to be clear. This

470
00:29:16,320 --> 00:29:18,600
Speaker 1: is a prong horn, which is a goat antalope, not

471
00:29:18,720 --> 00:29:21,240
Speaker 1: like a true antelope, because we're probably gonna test some

472
00:29:21,240 --> 00:29:25,440
Speaker 1: of those American prong horn commonly known and still known

473
00:29:25,480 --> 00:29:30,080
Speaker 1: by all Western regulations I believe as the antelope an

474
00:29:30,520 --> 00:29:33,680
Speaker 1: capra americana. Al Right there, you gotta thank you. So

475
00:29:33,880 --> 00:29:35,960
Speaker 1: that's this, that's the kind of science I've been waiting

476
00:29:36,000 --> 00:29:39,440
Speaker 1: for all This is a loin. So what we want

477
00:29:39,480 --> 00:29:43,880
Speaker 1: to do is typically you know, or all the time.

478
00:29:44,040 --> 00:29:45,400
Speaker 1: I know. I said it's a lab, but it's also

479
00:29:45,440 --> 00:29:51,400
Speaker 1: still a podcast. Okay, So the muscle grain is going

480
00:29:51,440 --> 00:29:54,840
Speaker 1: to be running long wise long ways here on this.

481
00:29:55,560 --> 00:30:00,600
Speaker 1: So we're gonna cut out one inch little cuts here,

482
00:30:00,720 --> 00:30:03,640
Speaker 1: and then we'll take a core sample running parallel with

483
00:30:03,720 --> 00:30:06,080
Speaker 1: the grain, got it, And we'll do six of them,

484
00:30:06,280 --> 00:30:09,040
Speaker 1: and we're gonna test all six and who's gonna be

485
00:30:09,200 --> 00:30:13,280
Speaker 1: right in these? And then we'll come up with the average.

486
00:30:13,320 --> 00:30:16,280
Speaker 1: And that's how tender this guy will be. Are you

487
00:30:16,320 --> 00:30:20,640
Speaker 1: measuring your one inch cut? Uh? No, just jester, I'm

488
00:30:20,680 --> 00:30:24,280
Speaker 1: gonna say that. We'll do three do three. Yeah, because

489
00:30:24,360 --> 00:30:27,640
Speaker 1: when I was watching those people do the waygoo limousine

490
00:30:28,200 --> 00:30:33,840
Speaker 1: cow cross breed, they were doing three. Okay, he's slice

491
00:30:34,160 --> 00:30:36,360
Speaker 1: kind of get a slice that, Chester, I don't know.

492
00:30:37,160 --> 00:30:39,600
Speaker 1: It's give me a little thin slice. Why you cut that?

493
00:30:39,640 --> 00:30:44,960
Speaker 1: It's maybe hungry? Just pretty salt on there yet, I

494
00:30:45,040 --> 00:30:48,320
Speaker 1: have a little put a little salt. We have salt

495
00:30:48,400 --> 00:30:53,640
Speaker 1: on it. We're gonna talk about that. That changes right

496
00:30:53,640 --> 00:30:56,240
Speaker 1: now for you Chester. Do you wait? There is salt

497
00:30:56,320 --> 00:31:00,240
Speaker 1: on it? No salt, no salt. Okay, so what we

498
00:31:00,320 --> 00:31:03,400
Speaker 1: got because we're only doing three, we only need to

499
00:31:03,440 --> 00:31:06,240
Speaker 1: make one of these cuts. But this muscle grain is

500
00:31:06,320 --> 00:31:11,040
Speaker 1: running kind of this way. So I'm going to take

501
00:31:11,080 --> 00:31:18,680
Speaker 1: course samples out of this being bam and booms. Exactly

502
00:31:20,720 --> 00:31:22,200
Speaker 1: is it normal to be able to wipe your hands

503
00:31:22,200 --> 00:31:26,920
Speaker 1: on your lap coat? That's what it's there for. Jesse,

504
00:31:27,040 --> 00:31:29,000
Speaker 1: you need a little poker to get your cores. Well,

505
00:31:29,040 --> 00:31:32,280
Speaker 1: he has a lollipop stick that seems to make a

506
00:31:32,360 --> 00:31:36,200
Speaker 1: legit poker. It's like true to the true to diameter,

507
00:31:37,400 --> 00:31:40,160
Speaker 1: so it shoves it out real nicely. Nice. Hey, this

508
00:31:40,240 --> 00:31:43,160
Speaker 1: is an important question. What kind of meat is this? Backstrap?

509
00:31:44,240 --> 00:31:49,040
Speaker 1: Otherwise known as loin specifically short loins. Do you know

510
00:31:49,080 --> 00:31:51,480
Speaker 1: when I was a kid, we didn't like we had

511
00:31:52,080 --> 00:31:57,600
Speaker 1: we called it, we called the backstraps. There was inside

512
00:31:57,640 --> 00:32:00,680
Speaker 1: and outside tender loins, was the Norman Clay true and

513
00:32:01,800 --> 00:32:03,840
Speaker 1: my when I was a kid in Michigan. Right, that's

514
00:32:03,960 --> 00:32:06,400
Speaker 1: very confusing, the inside tender loins and the and then

515
00:32:06,440 --> 00:32:10,200
Speaker 1: people would call the the loins, the tenderloins, the outside tenderloins.

516
00:32:10,200 --> 00:32:13,520
Speaker 1: They still have that issue with um with pork loin,

517
00:32:13,680 --> 00:32:17,960
Speaker 1: like people consistently referring to it like as outside tenderloin.

518
00:32:18,040 --> 00:32:19,560
Speaker 1: Like that's how you end up with the tender loin

519
00:32:19,640 --> 00:32:22,440
Speaker 1: sandwich that's actually made out of a pork loin as

520
00:32:22,440 --> 00:32:24,960
Speaker 1: opposed to a tenderloin. In my opinion, that's the only

521
00:32:24,960 --> 00:32:27,600
Speaker 1: way to eat a tender loin, Like, I'd rather have

522
00:32:27,640 --> 00:32:31,680
Speaker 1: it smashed and fried. Right, there's like a pork chop, John, Yeah,

523
00:32:31,960 --> 00:32:35,800
Speaker 1: I mean there's no no real flavor there. There's not

524
00:32:35,920 --> 00:32:39,840
Speaker 1: enough fat. And if I'm eating a pig, I want fat. Yeah,

525
00:32:40,680 --> 00:32:43,800
Speaker 1: there can be fat, but unfortunately that's well that's a

526
00:32:43,800 --> 00:32:48,400
Speaker 1: whole separate lab based podcast. We discussed the fat content

527
00:32:48,520 --> 00:32:55,760
Speaker 1: levels of various and assorted wr Next Machine, Yeah, seventy dollars. Yeah.

528
00:32:55,800 --> 00:32:57,840
Speaker 1: You know, we were doing this house of oddities to

529
00:32:57,840 --> 00:33:00,520
Speaker 1: to secure some land access, but now we're just gonna

530
00:33:00,600 --> 00:33:05,280
Speaker 1: use it to secure some m Okay. Chester is loading

531
00:33:05,320 --> 00:33:12,080
Speaker 1: in a piece of American pronghorn backstrap off a medium

532
00:33:12,200 --> 00:33:18,160
Speaker 1: sized buck bush whacked from a haystack. Never knew what

533
00:33:18,280 --> 00:33:24,960
Speaker 1: hit him. Two point seven I'm guessing, Oh that is tender.

534
00:33:26,160 --> 00:33:30,240
Speaker 1: That is some tender. One three three one market down

535
00:33:30,280 --> 00:33:33,760
Speaker 1: as one point three three. My elk was two point

536
00:33:33,840 --> 00:33:40,240
Speaker 1: five point three three dang no one point three Yeah,

537
00:33:40,240 --> 00:33:41,880
Speaker 1: that's what I'm saying. One point three three. That's the

538
00:33:41,920 --> 00:33:44,480
Speaker 1: first test, first ever test, one point three three. And

539
00:33:44,480 --> 00:33:48,720
Speaker 1: we're doing six tests. This is gonna do three off

540
00:33:48,960 --> 00:33:51,240
Speaker 1: this and you're supposed to do six, but I watched

541
00:33:51,320 --> 00:33:54,280
Speaker 1: them do three. We're gonna do three an average, and

542
00:33:54,280 --> 00:33:57,560
Speaker 1: then we'll log it. And and uh, Sean had interesting

543
00:33:57,600 --> 00:34:02,440
Speaker 1: that if a good scientific experiment about toughness go ahead.

544
00:34:03,240 --> 00:34:06,440
Speaker 1: About the geese, Oh yeah, it'd be great to have

545
00:34:07,160 --> 00:34:11,440
Speaker 1: banded birds. If someone would send in like a you know,

546
00:34:11,560 --> 00:34:14,680
Speaker 1: a confirmed banded bird. I can't imagine there would be

547
00:34:14,680 --> 00:34:17,320
Speaker 1: anything more tough than like a fifteen year old Canada

548
00:34:17,360 --> 00:34:20,719
Speaker 1: goose and you know it's fifteen years old. Then we

549
00:34:20,760 --> 00:34:23,680
Speaker 1: can run that through there. You might win, you might

550
00:34:23,719 --> 00:34:27,960
Speaker 1: win the trophy number yeah, oh, test number two here

551
00:34:28,000 --> 00:34:34,400
Speaker 1: it goes. What So that was the one because that

552
00:34:34,560 --> 00:34:37,680
Speaker 1: was the one that was towards the outside. Let let

553
00:34:37,719 --> 00:34:41,239
Speaker 1: me explain it to people. So you know, when you

554
00:34:41,239 --> 00:34:43,919
Speaker 1: cook a chunk of meat, right, the inside is more

555
00:34:44,840 --> 00:34:47,880
Speaker 1: red or pink, the outside is more cooked. When Chester

556
00:34:48,040 --> 00:34:53,959
Speaker 1: ran his cores, he had one core veer over into

557
00:34:54,040 --> 00:35:00,720
Speaker 1: the cooked into the roast, so to speak, and that

558
00:35:01,200 --> 00:35:06,480
Speaker 1: piece scored a what two two point two six, two

559
00:35:06,560 --> 00:35:11,560
Speaker 1: point to six, whereas the very rare middle scored a

560
00:35:13,400 --> 00:35:17,879
Speaker 1: one point three three. Right, wouldn't I mean, do they

561
00:35:18,000 --> 00:35:20,960
Speaker 1: give you like a method to how you're supposed to

562
00:35:21,000 --> 00:35:23,839
Speaker 1: cook this? When I watched them doing it the lab,

563
00:35:23,880 --> 00:35:25,640
Speaker 1: they were doing it on these little electric grills with

564
00:35:25,719 --> 00:35:29,319
Speaker 1: these real fancy probes, these temperature probes, and them real

565
00:35:29,400 --> 00:35:32,480
Speaker 1: specific about it, and they had lab coats. So should

566
00:35:32,480 --> 00:35:35,719
Speaker 1: we not like back back this thing and suvia, Yeah,

567
00:35:35,719 --> 00:35:37,160
Speaker 1: that's what I was thinking, that, like that would be

568
00:35:37,200 --> 00:35:40,880
Speaker 1: the most consistent way to tell. But if that's not

569
00:35:40,960 --> 00:35:46,200
Speaker 1: what they but because they don't say the jama octopus

570
00:35:46,200 --> 00:35:52,000
Speaker 1: t what what they say is it's a temperature thing.

571
00:35:52,239 --> 00:35:54,760
Speaker 1: If you can get the middle part of that meat,

572
00:35:55,239 --> 00:35:58,120
Speaker 1: like if it were an antelope and elk the same

573
00:35:58,600 --> 00:36:01,840
Speaker 1: And then let's say like this one I wrapped, seared

574
00:36:01,840 --> 00:36:07,640
Speaker 1: the outside, wrapped it in tinfoil, let it rast through

575
00:36:07,680 --> 00:36:10,239
Speaker 1: it in the fridge overnight. Um. But if I were

576
00:36:10,239 --> 00:36:12,920
Speaker 1: doing the elk, I would have got the exact same temperature.

577
00:36:13,080 --> 00:36:15,759
Speaker 1: I think SUV gotta be the way to go on

578
00:36:15,800 --> 00:36:18,600
Speaker 1: this because we could put a thermo couple through the

579
00:36:18,600 --> 00:36:23,120
Speaker 1: bag into the meat and actually check the core temperature

580
00:36:23,360 --> 00:36:26,120
Speaker 1: during cooking. Yeah, and then you can run a whole

581
00:36:26,120 --> 00:36:29,440
Speaker 1: bunch of samples when they start pouring in. So now

582
00:36:29,480 --> 00:36:32,720
Speaker 1: we gotta get that. We gotta get serious vacuum steeler,

583
00:36:33,160 --> 00:36:36,680
Speaker 1: a thermo couple, Thermo couple, what I'm talking about for

584
00:36:36,719 --> 00:36:42,799
Speaker 1: that is like a we got a here goes one

585
00:36:43,160 --> 00:36:45,960
Speaker 1: four seven. So that was again more of the middle

586
00:36:46,040 --> 00:36:51,040
Speaker 1: there one point four seven the average sean one second,

587
00:36:53,880 --> 00:36:56,600
Speaker 1: We'll do one more. This was the outside, more of

588
00:36:56,600 --> 00:37:00,120
Speaker 1: the outside. He can't stop. I'd be curious. What if

589
00:37:00,120 --> 00:37:04,240
Speaker 1: you put your finger in net hole and turn that on? Uh,

590
00:37:04,400 --> 00:37:06,520
Speaker 1: you can try what would take to sheer? What what

591
00:37:06,560 --> 00:37:09,560
Speaker 1: it would take to sheer your finger. Well, let's see Steve,

592
00:37:10,000 --> 00:37:13,799
Speaker 1: how tough finger? Not that tough? And then we just

593
00:37:13,800 --> 00:37:16,120
Speaker 1: test each other's fingers to see if there's any variation.

594
00:37:17,200 --> 00:37:20,920
Speaker 1: He's bagging it up and he's loading number four in.

595
00:37:22,480 --> 00:37:26,600
Speaker 1: He's addicted man Chester, Chester are supposed is gonna be

596
00:37:26,680 --> 00:37:32,680
Speaker 1: like just Warner Braxler's coming between us? Who is this

597
00:37:32,760 --> 00:37:38,560
Speaker 1: Warner bras? Learn why you spending so much time with him?

598
00:37:38,600 --> 00:37:41,120
Speaker 1: That was like a little bit towards the outside of

599
00:37:41,320 --> 00:37:47,960
Speaker 1: one eight six sean? Okay, So the official score of

600
00:37:48,040 --> 00:37:56,880
Speaker 1: a medium buck American prong horn, not run around ragan,

601
00:37:58,400 --> 00:38:00,640
Speaker 1: not hauled around in someone's truck for three weeks while

602
00:38:00,680 --> 00:38:04,320
Speaker 1: shows everybody how big it is. One point seven three

603
00:38:04,840 --> 00:38:11,239
Speaker 1: is one point seven three. Cow's like, I want the

604
00:38:11,239 --> 00:38:14,400
Speaker 1: most tender part of my meat gone, please, Cow's holding

605
00:38:14,480 --> 00:38:16,560
Speaker 1: up a chunk of it with a hole cut through it.

606
00:38:17,120 --> 00:38:22,080
Speaker 1: How is it? Yeah? Very but yeah, And just so

607
00:38:22,200 --> 00:38:25,160
Speaker 1: people know, empirically very tender? What was it score? Again?

608
00:38:25,440 --> 00:38:28,120
Speaker 1: One point seven three was the average? Okay? And when

609
00:38:28,320 --> 00:38:32,279
Speaker 1: and I'll bet one point seven three is uh low

610
00:38:32,320 --> 00:38:36,080
Speaker 1: score would be regarded commercially as tender. And when you

611
00:38:36,160 --> 00:38:40,160
Speaker 1: eat it, you would say to someone, my god, that's tender. Yep,

612
00:38:41,680 --> 00:38:47,239
Speaker 1: that's nice. Agreed? Was it tender? Mm hmm? Okay, you

613
00:38:47,280 --> 00:38:52,239
Speaker 1: guys got your mouth. So when's uh so, when's the

614
00:38:52,360 --> 00:38:56,759
Speaker 1: Warner Braxler Part one? Met eater at the me eater

615
00:38:56,880 --> 00:38:58,680
Speaker 1: dot com is that the website is that the general

616
00:38:58,719 --> 00:39:02,520
Speaker 1: Email me eater at the meat eater dot com. Send

617
00:39:02,640 --> 00:39:07,080
Speaker 1: in your pitch test You got your pitch to Chester,

618
00:39:07,239 --> 00:39:11,279
Speaker 1: subject line, subject line all caps, test my meat? You say, like,

619
00:39:11,320 --> 00:39:13,440
Speaker 1: what you got? Why do you think it's interesting? Why

620
00:39:13,440 --> 00:39:15,480
Speaker 1: do you think it's a contender for most tender or

621
00:39:15,600 --> 00:39:19,799
Speaker 1: toughest meat out there? And we will determine that, will

622
00:39:19,840 --> 00:39:22,440
Speaker 1: report back with what the prizes Steve should we ask

623
00:39:22,520 --> 00:39:25,439
Speaker 1: them to send that kind of relative information. We're looking

624
00:39:25,480 --> 00:39:29,479
Speaker 1: for hunting conditions, general thought on age of the animal size,

625
00:39:29,520 --> 00:39:32,200
Speaker 1: that kind of stuff. Yeah, and if it's accepted, we

626
00:39:32,280 --> 00:39:34,680
Speaker 1: might have more questions. And if it's accepted, we might

627
00:39:34,719 --> 00:39:38,759
Speaker 1: even have to do Phil's favorite thing, squad cast you

628
00:39:38,840 --> 00:39:42,600
Speaker 1: in to witness the testing of your meat. Test my

629
00:39:42,680 --> 00:39:48,880
Speaker 1: meat with Chester the tester. Oh, it's going into Instagram

630
00:39:48,880 --> 00:39:58,000
Speaker 1: bio now, Chester the Tester. Oh yeah, Chester is gonna

631
00:39:58,000 --> 00:39:59,680
Speaker 1: wind up with a show on like A and EA

632
00:39:59,800 --> 00:40:04,960
Speaker 1: or called test my Meat Chester. Just imagine which scientific

633
00:40:05,040 --> 00:40:07,040
Speaker 1: journals we're gonna be able to publish this data and

634
00:40:07,160 --> 00:40:12,279
Speaker 1: down the road you're doing Chester. We're gonna move on

635
00:40:12,320 --> 00:40:13,960
Speaker 1: to other subjects right now. But I want to close

636
00:40:14,000 --> 00:40:18,759
Speaker 1: this segment out by saying that you're probably doing um

637
00:40:18,960 --> 00:40:24,239
Speaker 1: science that no one's done before. No one has. When

638
00:40:24,239 --> 00:40:26,640
Speaker 1: this is said and done, we'll have tested a wider

639
00:40:26,760 --> 00:40:31,160
Speaker 1: array of game meets from around the world and that

640
00:40:31,560 --> 00:40:34,000
Speaker 1: no one no one's ever There's no way anybody's ever

641
00:40:34,000 --> 00:40:36,600
Speaker 1: done this. I better read a few more books about this. Yeah,

642
00:40:36,600 --> 00:40:40,359
Speaker 1: I can almost guarantee. I don't know if you're gonna

643
00:40:40,360 --> 00:40:43,520
Speaker 1: find any books about this. None of the other to

644
00:40:43,760 --> 00:40:46,440
Speaker 1: resident on them while they were doing the test clients.

645
00:40:46,719 --> 00:40:52,000
Speaker 1: I actually did some some research on anywhere we can

646
00:40:52,040 --> 00:40:55,480
Speaker 1: get Chester an unpaid internship somewhere that does this. You

647
00:40:55,560 --> 00:40:57,480
Speaker 1: know what we will do for it's critical that it

648
00:40:57,560 --> 00:41:00,359
Speaker 1: be unpaid, doesn't Sully his opinion? We will. I don't

649
00:41:00,360 --> 00:41:03,120
Speaker 1: want to do that. That sounds like to complicated, but

650
00:41:03,280 --> 00:41:06,840
Speaker 1: we will do is. We'll get his lab coat embroidered.

651
00:41:07,960 --> 00:41:11,480
Speaker 1: Those are basically parallels and a big dragon on the

652
00:41:11,520 --> 00:41:17,880
Speaker 1: back just because we need you need to come up

653
00:41:17,880 --> 00:41:20,239
Speaker 1: with your own formula though, just to ensure that you're

654
00:41:20,239 --> 00:41:23,720
Speaker 1: doing everything the exact same and then your own note

655
00:41:23,719 --> 00:41:27,839
Speaker 1: taking as well. The reason why I we're just doing

656
00:41:27,960 --> 00:41:32,640
Speaker 1: one piece. But I would imagine because we already did this.

657
00:41:33,280 --> 00:41:37,319
Speaker 1: Let's say we get an elkin or that, um, what

658
00:41:37,520 --> 00:41:40,520
Speaker 1: is that wild beef that you got in New Mexico.

659
00:41:41,400 --> 00:41:43,719
Speaker 1: I'm I'm going to cook it the same way as

660
00:41:43,760 --> 00:41:46,040
Speaker 1: I did this. Yeah, keep it consistent, and so it's

661
00:41:46,040 --> 00:41:49,200
Speaker 1: all consistent. And I got a Matt Damon groove with that.

662
00:41:49,760 --> 00:41:53,400
Speaker 1: Somehow you look like Matt Damon Now I don't know

663
00:41:53,440 --> 00:42:03,799
Speaker 1: what show with his backward hat and goggles. Yeah, I

664
00:42:03,840 --> 00:42:05,839
Speaker 1: think the su VI is the best way to get

665
00:42:05,880 --> 00:42:08,240
Speaker 1: it consistent. Listen, now, I got a bunch of armchair

666
00:42:09,640 --> 00:42:13,480
Speaker 1: I'm just people chest to do your thing, buddy. Yeah, Sean,

667
00:42:13,640 --> 00:42:17,319
Speaker 1: who's doing the test over here? Yeah? All right, we're

668
00:42:17,320 --> 00:42:19,279
Speaker 1: gonna move on. But I got one, I know I

669
00:42:19,280 --> 00:42:21,160
Speaker 1: had one. I got another last thing to add him.

670
00:42:24,120 --> 00:42:27,080
Speaker 1: Here's why Sue vied might Here's why they might be right.

671
00:42:27,760 --> 00:42:32,000
Speaker 1: Because when we when we jam octopus tentacle in there, right,

672
00:42:32,800 --> 00:42:34,640
Speaker 1: you could also put that in the su vied for

673
00:42:35,480 --> 00:42:38,200
Speaker 1: at whatever town. Yeah, you can do it all at

674
00:42:38,200 --> 00:42:40,920
Speaker 1: the exact same time and then just snake the octopus

675
00:42:40,960 --> 00:42:42,960
Speaker 1: tentacle in there and pull it until it's tight and

676
00:42:43,040 --> 00:42:48,160
Speaker 1: then but then again like octopus, the way we would

677
00:42:48,200 --> 00:42:50,400
Speaker 1: cook it, or the way like Kimmy would cook it

678
00:42:50,480 --> 00:42:53,800
Speaker 1: or Kevin, they tenderized the heck out of it before

679
00:42:53,920 --> 00:42:56,160
Speaker 1: you'd eat it. So would I would I beat the

680
00:42:56,200 --> 00:42:59,080
Speaker 1: heck out of it like Kimmy does on on rocks

681
00:42:59,160 --> 00:43:06,799
Speaker 1: before I or Sean will make a separate document. Here's

682
00:43:06,800 --> 00:43:09,000
Speaker 1: how we do it. He's gonna make a separate it's

683
00:43:09,000 --> 00:43:13,239
Speaker 1: a separate research. It's gonna be that document is gonna

684
00:43:13,239 --> 00:43:17,600
Speaker 1: be called octopus various ways. Put one right out of

685
00:43:17,640 --> 00:43:26,320
Speaker 1: the ocean. Have can you beat one with rocks? Boil

686
00:43:26,400 --> 00:43:29,359
Speaker 1: the piss out of one right, and it will be

687
00:43:29,400 --> 00:43:33,839
Speaker 1: like like that's a whole different publication. Yeah, I think

688
00:43:34,120 --> 00:43:37,000
Speaker 1: I think that's that's like a lifetime worth of work.

689
00:43:37,480 --> 00:43:41,759
Speaker 1: And I think you can skip that. You can do

690
00:43:44,280 --> 00:43:47,480
Speaker 1: you can do a little bit of research, come up

691
00:43:47,520 --> 00:43:54,319
Speaker 1: with the mean temperature and duration of cook for octopus.

692
00:43:55,080 --> 00:43:58,040
Speaker 1: So you're hitting right in the middle, and I think

693
00:43:58,080 --> 00:44:00,640
Speaker 1: that would be plenty. Yeah, And you Ken just jammed

694
00:44:00,640 --> 00:44:02,760
Speaker 1: the tentacle in there, because then you're testing surface tension

695
00:44:02,760 --> 00:44:11,600
Speaker 1: as well. Mm hmm, oh, follow jamming it in there.

696
00:44:11,680 --> 00:44:13,920
Speaker 1: You don't want to jam it in yeah, because well,

697
00:44:13,960 --> 00:44:16,719
Speaker 1: the the outside of the octopus has a membrane on it.

698
00:44:16,760 --> 00:44:21,120
Speaker 1: That's substantially we're gonna. We're gonna for this publication called

699
00:44:21,239 --> 00:44:29,239
Speaker 1: Um Octopus Various Ways Eight Ways to Cook an Octopus. Yeah.

700
00:44:29,360 --> 00:44:31,600
Speaker 1: I think we should peel the outer skin out and

701
00:44:31,800 --> 00:44:33,759
Speaker 1: then have Kimmy come out and she'll have to count

702
00:44:33,760 --> 00:44:40,440
Speaker 1: how many times she hit it with a rock and

703
00:44:40,520 --> 00:44:44,960
Speaker 1: just describe the general attributes of said rock. Do we

704
00:44:45,000 --> 00:44:47,200
Speaker 1: cut the tentacles off and then we start doing the

705
00:44:47,200 --> 00:44:51,200
Speaker 1: different things with a single octopus? Okay, one octopus checking

706
00:44:51,440 --> 00:44:53,920
Speaker 1: eight ways? Got it? This thing is gonna be too

707
00:44:54,000 --> 00:44:58,680
Speaker 1: much fun. Moving on, Thank you, Jester. We will get

708
00:44:58,719 --> 00:45:10,440
Speaker 1: that embroidered for you, buddy. Thank you. All right, everybody

709
00:45:10,440 --> 00:45:14,640
Speaker 1: moving on, a couple of announcements. So Outdoor Kids in

710
00:45:14,680 --> 00:45:17,960
Speaker 1: an Inside World the book we got a pre order

711
00:45:18,040 --> 00:45:23,840
Speaker 1: special we have. It's kind of hard to explain this.

712
00:45:23,840 --> 00:45:25,400
Speaker 1: This gets in a little bit of how the sausage

713
00:45:25,440 --> 00:45:30,680
Speaker 1: is made. When we did the book, Brody, we worked

714
00:45:30,680 --> 00:45:34,040
Speaker 1: on this whole thing. Those this this giant what are

715
00:45:34,040 --> 00:45:35,600
Speaker 1: you calling you add something on the end of a book.

716
00:45:36,400 --> 00:45:44,160
Speaker 1: I forgot dendem depend No, not in dependix addendum. We

717
00:45:44,200 --> 00:45:51,080
Speaker 1: had a giant addendum, uh, which was like recommendations, instructions,

718
00:45:51,120 --> 00:45:54,680
Speaker 1: insights about how to I mean everything about kids in

719
00:45:54,719 --> 00:45:58,640
Speaker 1: the outdoors, right, like like a great set of clothing

720
00:45:58,800 --> 00:46:02,600
Speaker 1: like gray all per this clothing that will if you

721
00:46:02,640 --> 00:46:04,400
Speaker 1: have it for your kid, it will cover you for

722
00:46:04,440 --> 00:46:09,719
Speaker 1: like of outdoor excursions with your kids. Stuff about kids, gears,

723
00:46:09,719 --> 00:46:13,680
Speaker 1: sleeping bags, all kinds of resources like different states about

724
00:46:13,680 --> 00:46:16,000
Speaker 1: how to get your kid, like what you need to

725
00:46:16,040 --> 00:46:19,799
Speaker 1: do to for light fishing license purposes, how to get

726
00:46:19,840 --> 00:46:23,040
Speaker 1: like a great little set starter fishing kit. We built

727
00:46:23,040 --> 00:46:25,040
Speaker 1: this whole thing, and we're gonna jam it into the

728
00:46:25,080 --> 00:46:27,520
Speaker 1: end of the book. And I think that will I

729
00:46:27,520 --> 00:46:28,960
Speaker 1: don't want to say that because I'll kind of ruin

730
00:46:29,000 --> 00:46:32,759
Speaker 1: the incentive. Future versions of the book might include this,

731
00:46:33,440 --> 00:46:36,600
Speaker 1: but not now. It's not in the hardcover which launches

732
00:46:36,600 --> 00:46:44,000
Speaker 1: on May three. But if you preorder Outdoor Kids in

733
00:46:44,040 --> 00:46:48,840
Speaker 1: an Inside World prior to the launch date on May three,

734
00:46:49,400 --> 00:46:51,839
Speaker 1: so you got one more week to do this, you

735
00:46:51,920 --> 00:46:57,960
Speaker 1: will receive in the additional fifty page digital free resource guide.

736
00:46:58,200 --> 00:47:03,000
Speaker 1: Not digital free, it's digital. The fifty page digital resource

737
00:47:03,040 --> 00:47:07,040
Speaker 1: Guide for free chock full of additional recommendations and insights.

738
00:47:07,600 --> 00:47:10,600
Speaker 1: They'll be emailed straight to you, so you're gonna you know,

739
00:47:10,680 --> 00:47:14,200
Speaker 1: you're just gonna give you the thing in digital form

740
00:47:14,280 --> 00:47:16,799
Speaker 1: because it's not going into the book because it's just

741
00:47:16,880 --> 00:47:22,839
Speaker 1: too much info. But it's like meticulously crafted info. Head

742
00:47:22,880 --> 00:47:25,719
Speaker 1: to the mediator dot com to find the announcement, which

743
00:47:25,760 --> 00:47:28,200
Speaker 1: guides you to the page where you can enter your

744
00:47:28,200 --> 00:47:32,080
Speaker 1: purchase information and register for free for the guide to

745
00:47:32,200 --> 00:47:36,800
Speaker 1: then be emailed to you. Another announcement, First Lights Omen

746
00:47:36,920 --> 00:47:40,719
Speaker 1: Rainwear is is available. This is I'm gonna keep this

747
00:47:40,760 --> 00:47:42,359
Speaker 1: brief because we have a lot of stuff to cover.

748
00:47:43,880 --> 00:47:46,520
Speaker 1: I was a big fan of First Light's foundry line.

749
00:47:46,560 --> 00:47:48,000
Speaker 1: I thought that was like one of the greatest things

750
00:47:48,080 --> 00:47:53,399
Speaker 1: ever happened to hunting duds. Um. The Omen rainware is unbelievable,

751
00:47:53,640 --> 00:47:57,040
Speaker 1: unbelievable rainwear. I spent a lot of time at this fall.

752
00:47:58,440 --> 00:48:01,520
Speaker 1: I took an a doll sheep on, spent a week

753
00:48:01,560 --> 00:48:04,520
Speaker 1: trodging around the rain and wet snow and uh Prince

754
00:48:04,520 --> 00:48:07,520
Speaker 1: Wales Island. Use it checking traps off my snow and

755
00:48:07,560 --> 00:48:12,279
Speaker 1: be on the winter. Very durable and just like impeccably designed.

756
00:48:12,880 --> 00:48:15,520
Speaker 1: I think it's it's I'm not kid might say it

757
00:48:15,600 --> 00:48:17,440
Speaker 1: is the best rainwear I've ever had on my body.

758
00:48:17,760 --> 00:48:22,000
Speaker 1: The Omen Rainwear line out now. Cal tell them about

759
00:48:22,080 --> 00:48:26,400
Speaker 1: n w t F Turkey Trek surely, Stephen uh So,

760
00:48:27,520 --> 00:48:31,680
Speaker 1: National Wild Turkey Federation. If you're a spring loving Turkey hunter,

761
00:48:32,360 --> 00:48:35,600
Speaker 1: you got a lot to thank these folks for the volunteers,

762
00:48:35,719 --> 00:48:41,760
Speaker 1: the biologists, the whole organization. And coming soon we're gonna

763
00:48:41,760 --> 00:48:47,160
Speaker 1: be updating everybody on our you know, turkey season, and

764
00:48:47,200 --> 00:48:48,799
Speaker 1: we'd like you to do the same by using the

765
00:48:48,800 --> 00:48:54,200
Speaker 1: hashtag Turkey track and becoming a member of National Wild

766
00:48:54,200 --> 00:48:57,319
Speaker 1: Turkey Federation. If you do, If you go sign up,

767
00:48:58,200 --> 00:49:01,919
Speaker 1: you're gonna be eligible for some sweet prizes. But that's

768
00:49:01,960 --> 00:49:03,360
Speaker 1: not why you should do it. If you do it

769
00:49:03,400 --> 00:49:06,080
Speaker 1: for that, you're just kind of a freeloader. So tell

770
00:49:06,080 --> 00:49:09,839
Speaker 1: me again how they do how they sign up? Uh?

771
00:49:09,960 --> 00:49:13,680
Speaker 1: You sign up by becoming yeah you you You become

772
00:49:13,719 --> 00:49:17,080
Speaker 1: eligible for the prizes by signing up for a one

773
00:49:17,120 --> 00:49:20,600
Speaker 1: year membership at National Wild Turkey Federation. Got you, got

774
00:49:20,680 --> 00:49:23,040
Speaker 1: you and all of us who are going to be

775
00:49:23,080 --> 00:49:26,120
Speaker 1: out in the Turkey woods this this very near spring,

776
00:49:26,680 --> 00:49:29,919
Speaker 1: are gonna be talking about this and directing folks where

777
00:49:29,960 --> 00:49:34,879
Speaker 1: to go during this like campaign time, which will be

778
00:49:35,080 --> 00:49:37,080
Speaker 1: the end of April. Yeah, and if you love to

779
00:49:37,160 --> 00:49:41,920
Speaker 1: hunt wild turkeys, you owe a debt of gratitude to

780
00:49:42,080 --> 00:49:47,279
Speaker 1: the National Wild Turkey Federation, who, like I don't want

781
00:49:47,320 --> 00:49:50,200
Speaker 1: to downplay contributions of state agencies and all kinds of

782
00:49:50,239 --> 00:49:53,640
Speaker 1: other individuals, but the driving this is a fair state.

783
00:49:53,640 --> 00:49:56,879
Speaker 1: Would you say this is a fair statement work hand

784
00:49:56,880 --> 00:50:03,640
Speaker 1: in hand too. They're people kiss away from being same

785
00:50:03,719 --> 00:50:06,560
Speaker 1: on a lot of these efforts. The n WTF in

786
00:50:06,680 --> 00:50:10,960
Speaker 1: large measure drove the recovery of the American turkey with

787
00:50:11,080 --> 00:50:15,680
Speaker 1: many partners funding expertise. If you look, if you like

788
00:50:15,719 --> 00:50:18,120
Speaker 1: the hunt turkeys, you owe data gratitude to National Ball

789
00:50:18,239 --> 00:50:22,120
Speaker 1: Turkey Federation. Uh COVID was hard on them because they

790
00:50:22,239 --> 00:50:25,000
Speaker 1: traditionally do a lot of events. They raise a lot

791
00:50:25,040 --> 00:50:27,160
Speaker 1: of money doing events, and when events got shut down

792
00:50:27,160 --> 00:50:28,839
Speaker 1: it was hard on n w t F. It's kind

793
00:50:28,840 --> 00:50:31,680
Speaker 1: of hard on their model. So all the support you

794
00:50:31,719 --> 00:50:34,560
Speaker 1: can give there. I spent a month hunting turkeys every

795
00:50:34,600 --> 00:50:37,960
Speaker 1: year or more and uh, you know, on and off right,

796
00:50:38,280 --> 00:50:42,719
Speaker 1: but phenomenal organization. Become a member. They put money on

797
00:50:42,800 --> 00:50:48,080
Speaker 1: the ground. Ah, great, great organization. The head of n WTF,

798
00:50:48,200 --> 00:50:50,800
Speaker 1: Becky Humphries, has been on the show once or twice twice.

799
00:50:52,239 --> 00:50:57,200
Speaker 1: She's great. Lend a hand all right. Another announcement, Kevin

800
00:50:58,320 --> 00:51:02,960
Speaker 1: Ken Yeah, uh lab quote on yes, very serious, tybody

801
00:51:02,960 --> 00:51:06,600
Speaker 1: about saber Tooth. So, Sabretooth is, uh is a new

802
00:51:06,640 --> 00:51:08,960
Speaker 1: show that we're making. Um Chester has got his saber

803
00:51:09,000 --> 00:51:11,200
Speaker 1: Tooth sticker on his on his computer. It looks good.

804
00:51:11,360 --> 00:51:13,200
Speaker 1: That was quick. Yeah, it's quick. We like to turn

805
00:51:13,280 --> 00:51:15,120
Speaker 1: around quick. Here, Steve, I just got mine. I didn't

806
00:51:15,120 --> 00:51:16,719
Speaker 1: even decide what to do with mine. It's going on

807
00:51:16,760 --> 00:51:19,600
Speaker 1: your computer. I already picked it out. Um, Sabretooth is

808
00:51:19,640 --> 00:51:21,960
Speaker 1: our new show. The idea behind saber Tooth has been

809
00:51:22,400 --> 00:51:24,239
Speaker 1: it's actually today is a perfect day for this because

810
00:51:24,280 --> 00:51:28,040
Speaker 1: for years I have listened to Chef Friends, to just

811
00:51:28,560 --> 00:51:32,080
Speaker 1: Layman's Two Hunters tell me that the value of wild

812
00:51:32,280 --> 00:51:35,759
Speaker 1: protein of wild animals is below that of farm raised

813
00:51:35,840 --> 00:51:38,040
Speaker 1: They're not as good, you know, quote unquote, they're just

814
00:51:38,120 --> 00:51:40,080
Speaker 1: not so good. Like if you want really great meat,

815
00:51:40,560 --> 00:51:42,400
Speaker 1: you know it's prime beef. It's stuff like that, and

816
00:51:42,440 --> 00:51:44,359
Speaker 1: I've just for years disagreed and said, no, I don't

817
00:51:44,360 --> 00:51:46,680
Speaker 1: think that's true. I think it's just that you guys

818
00:51:46,719 --> 00:51:48,759
Speaker 1: don't understand what to do with it. I don't think

819
00:51:48,800 --> 00:51:52,160
Speaker 1: you understand the possibilities. And I referenced back years, like

820
00:51:52,520 --> 00:51:55,280
Speaker 1: you know, professional chefs in Europe, people like Paul Bocus,

821
00:51:55,440 --> 00:51:58,520
Speaker 1: the person who literally has had three Michelin stars longer

822
00:51:58,560 --> 00:52:02,600
Speaker 1: than anyone in the world. We'll pull farm raised duck

823
00:52:02,640 --> 00:52:04,640
Speaker 1: from his menu and put wild ducks on during the

824
00:52:04,680 --> 00:52:07,720
Speaker 1: season because he thinks they're better. And so my argument

825
00:52:07,800 --> 00:52:09,480
Speaker 1: has been that it's all in the eyes of the beholder,

826
00:52:09,560 --> 00:52:11,080
Speaker 1: and more importantly, it's in the eyes of the people

827
00:52:11,160 --> 00:52:12,879
Speaker 1: doing it. And so we decided to create this show

828
00:52:12,960 --> 00:52:17,040
Speaker 1: Saber Tooth, really to kind of fill out what feels

829
00:52:17,080 --> 00:52:19,719
Speaker 1: like the obligation of Meter, which is to help people

830
00:52:19,920 --> 00:52:23,040
Speaker 1: see this entire experience of hunting and angling from the

831
00:52:23,080 --> 00:52:24,840
Speaker 1: start to the finish. And that doesn't mean that it

832
00:52:25,000 --> 00:52:27,200
Speaker 1: ends when the animals down or when you know, when

833
00:52:27,239 --> 00:52:30,279
Speaker 1: the fishes in the boat. It's that next part is

834
00:52:30,600 --> 00:52:32,480
Speaker 1: oftentimes for a lot of people, the hardest, and so

835
00:52:33,200 --> 00:52:36,200
Speaker 1: Sabretooth of the show designed around hunting and fishing, but

836
00:52:36,280 --> 00:52:38,200
Speaker 1: then we take it one step further and we really

837
00:52:38,280 --> 00:52:40,960
Speaker 1: show you just how far, um, just how far it

838
00:52:41,000 --> 00:52:43,960
Speaker 1: can be taken, you know. Culinarily, In the first episode,

839
00:52:44,000 --> 00:52:46,720
Speaker 1: we're hunting hogs in my home state of Farrell hogs

840
00:52:46,760 --> 00:52:48,920
Speaker 1: in my home state of Georgia, and then we bring

841
00:52:49,040 --> 00:52:51,279
Speaker 1: them back to my restaurant, Gun Show, and we put

842
00:52:51,360 --> 00:52:55,200
Speaker 1: together a thirteen course tasting menu using Farrell hogs, large

843
00:52:55,239 --> 00:52:59,759
Speaker 1: mouth bass, white tailed deer. Yeah, man, gotta we have

844
00:52:59,800 --> 00:53:02,279
Speaker 1: a really big pond on this exact same property, and

845
00:53:02,320 --> 00:53:04,359
Speaker 1: so we caught a ton of large mouth, Like I said,

846
00:53:04,360 --> 00:53:07,200
Speaker 1: we've got white tail. Um, we got some really cool

847
00:53:07,280 --> 00:53:10,120
Speaker 1: stuff and we just really throw down in this first episode,

848
00:53:10,360 --> 00:53:12,680
Speaker 1: and then subsequent episodes kind of change around, you know,

849
00:53:12,760 --> 00:53:15,040
Speaker 1: and the next one, h Jesse Griffith and I are

850
00:53:15,080 --> 00:53:19,759
Speaker 1: gonna be working with um um scimitar horned orcs in

851
00:53:19,880 --> 00:53:22,480
Speaker 1: Texas with Daniel Pruett. Did you know that cal and

852
00:53:22,520 --> 00:53:24,680
Speaker 1: I got the cuddle with Did you get the caddle

853
00:53:24,760 --> 00:53:28,120
Speaker 1: with it? I didn't want to bud him. There are

854
00:53:28,239 --> 00:53:35,360
Speaker 1: you and Korean cuddled a baby scimitar horned orcs? What

855
00:53:35,760 --> 00:53:40,160
Speaker 1: a calf? Bamberger Ranch preserve in Texas. They are doing

856
00:53:40,320 --> 00:53:45,680
Speaker 1: a captive breeding program to supplement a reintroduction effort in

857
00:53:45,880 --> 00:53:49,680
Speaker 1: Chad in Africa and the Sahara of the scimitar horned orcs.

858
00:53:50,920 --> 00:53:55,040
Speaker 1: A female had just dropped a calf cow, but Kyle

859
00:53:55,320 --> 00:53:58,919
Speaker 1: had just dropped a calf and man, uh, they don't

860
00:53:58,920 --> 00:54:01,759
Speaker 1: want you to pick that thing up. They had to

861
00:54:01,800 --> 00:54:04,120
Speaker 1: pull up to it like picture, you pull up right

862
00:54:04,160 --> 00:54:07,080
Speaker 1: alongside it with a truck and then open the door.

863
00:54:07,200 --> 00:54:09,160
Speaker 1: So you've created like where you normally stand to like

864
00:54:09,480 --> 00:54:10,759
Speaker 1: try to take a whiz on the side of the

865
00:54:10,800 --> 00:54:13,320
Speaker 1: road and no one seeing what you're doing, right, And

866
00:54:13,520 --> 00:54:16,719
Speaker 1: and snagged the little calf up into the truck that way,

867
00:54:16,920 --> 00:54:19,040
Speaker 1: So basically the same method you would use to abduct

868
00:54:19,080 --> 00:54:21,840
Speaker 1: a child. You had to snatch him up van on

869
00:54:21,920 --> 00:54:24,560
Speaker 1: the side, pop the door up and take a whizz.

870
00:54:24,600 --> 00:54:35,279
Speaker 1: Don't have kind of same technology. Uh. And then we

871
00:54:35,400 --> 00:54:37,000
Speaker 1: got We took it into the back of the pickup,

872
00:54:37,280 --> 00:54:41,200
Speaker 1: caddled it. Um. When you say cuddled, I think it's

873
00:54:41,239 --> 00:54:44,759
Speaker 1: heart was racing, But I read it as a call.

874
00:54:44,920 --> 00:54:47,640
Speaker 1: I read it as a cuddle. I think he read

875
00:54:47,680 --> 00:54:51,000
Speaker 1: it as I think he read it that the calf

876
00:54:51,120 --> 00:54:53,080
Speaker 1: it was it was a bowl Calf. I think he

877
00:54:53,200 --> 00:54:56,560
Speaker 1: read it as um a near death experience for sure,

878
00:54:57,200 --> 00:55:00,920
Speaker 1: and Crane kind of got like after she got second snuggle.

879
00:55:02,719 --> 00:55:05,640
Speaker 1: It was interesting though, because I didn't like the didn't

880
00:55:05,680 --> 00:55:09,560
Speaker 1: have the crazy eyes, no of like ultra fear and panic.

881
00:55:09,680 --> 00:55:11,520
Speaker 1: I think picked it up a week later, it might

882
00:55:11,560 --> 00:55:13,160
Speaker 1: look a little different. There's a little out of it

883
00:55:14,520 --> 00:55:18,080
Speaker 1: that's pretty cute. I mean, so, actually, I'm glad you

884
00:55:18,160 --> 00:55:20,120
Speaker 1: brought that up, because in that second episode we really

885
00:55:20,200 --> 00:55:22,320
Speaker 1: are kind of going down that path of explaining we

886
00:55:22,440 --> 00:55:24,759
Speaker 1: chose Simitar horned works on purpose because there is a

887
00:55:24,840 --> 00:55:27,560
Speaker 1: really interesting story about the fact that there are a

888
00:55:27,600 --> 00:55:28,960
Speaker 1: lot of people who are like they have no business

889
00:55:29,000 --> 00:55:31,759
Speaker 1: being in Texas and that that's probably true, but at

890
00:55:31,800 --> 00:55:35,719
Speaker 1: this point there's a really huge opportunity for reintroducing something

891
00:55:35,760 --> 00:55:38,640
Speaker 1: into its native range that would otherwise be extinct. Yeah,

892
00:55:39,120 --> 00:55:40,680
Speaker 1: we get we got into that. It was kind of

893
00:55:40,680 --> 00:55:43,480
Speaker 1: like they're nowhere right right, exactly exactly. But yeah, So

894
00:55:43,800 --> 00:55:45,759
Speaker 1: for folks who are fans of you guys run a

895
00:55:45,840 --> 00:55:48,080
Speaker 1: Warner Brassler on that song, we haven't, but I'm gonna

896
00:55:48,120 --> 00:55:49,640
Speaker 1: bring some in. That one's gonna be on my list

897
00:55:49,680 --> 00:55:51,520
Speaker 1: because I think that's one of the most tender that

898
00:55:51,600 --> 00:55:53,759
Speaker 1: I've ever had. Well, we'll find out. We're gonna see,

899
00:55:54,840 --> 00:55:57,839
Speaker 1: We're gonna see if it's better than American antelope. Did

900
00:55:57,880 --> 00:56:01,520
Speaker 1: you save some backstrap tons? I not tons, but we

901
00:56:01,600 --> 00:56:04,200
Speaker 1: have some yet enough for those little cores? Oh for sure. Yeah,

902
00:56:04,200 --> 00:56:05,920
Speaker 1: I probably got a one ounce piece that we can

903
00:56:05,960 --> 00:56:07,920
Speaker 1: core out so perfect, since that seems to be all

904
00:56:07,960 --> 00:56:10,799
Speaker 1: we need for it perfect. But yeah, so for folks

905
00:56:10,840 --> 00:56:13,680
Speaker 1: who are fans of a you know, our meat eater show,

906
00:56:13,719 --> 00:56:15,560
Speaker 1: who are who are in it to watch hunting, you

907
00:56:15,640 --> 00:56:17,640
Speaker 1: still get that in Saber Tooth. But then we just

908
00:56:17,719 --> 00:56:19,440
Speaker 1: take it and we kind of go a different direction

909
00:56:19,480 --> 00:56:22,080
Speaker 1: with it and really explore how great this stuff is.

910
00:56:22,280 --> 00:56:24,480
Speaker 1: And my goal if if we do this show right,

911
00:56:24,640 --> 00:56:26,439
Speaker 1: people are going to get a lot more excited about

912
00:56:26,480 --> 00:56:29,320
Speaker 1: learning how to be better cooks and to uh focus

913
00:56:29,400 --> 00:56:31,000
Speaker 1: on what they can do with these animals once they

914
00:56:31,040 --> 00:56:34,320
Speaker 1: have them. You're gonna do us another favorite and and

915
00:56:34,520 --> 00:56:36,920
Speaker 1: uh clear up some things we've argued about a handful

916
00:56:36,920 --> 00:56:40,360
Speaker 1: of times about brianing, Okay, what do you want to

917
00:56:40,360 --> 00:56:43,200
Speaker 1: do this? Yeah, let's do it. Man, Well, I had

918
00:56:43,239 --> 00:56:47,000
Speaker 1: a thing I can't here who else fighting with you. No, No,

919
00:56:47,239 --> 00:56:50,399
Speaker 1: you just said to me we were discussing mountain goats,

920
00:56:50,400 --> 00:56:52,480
Speaker 1: and you said, don't tell me that brianing doesn't work.

921
00:56:52,960 --> 00:56:54,960
Speaker 1: And I said, it's not that it doesn't work, it's

922
00:56:55,040 --> 00:56:56,839
Speaker 1: just that it does something that I think people don't

923
00:56:56,880 --> 00:57:00,919
Speaker 1: understand what it's actually doing. So you take a chunk

924
00:57:00,960 --> 00:57:05,440
Speaker 1: of Okay, it's St. Patty's Day. St. Patty's Day. Are

925
00:57:05,480 --> 00:57:08,879
Speaker 1: we gonna go corn beef brine? I mean that's okay,

926
00:57:08,960 --> 00:57:11,279
Speaker 1: let's use corn beef because something very different happens with

927
00:57:11,400 --> 00:57:14,640
Speaker 1: corn beef. Tell me more. Okay, all right, turn it.

928
00:57:14,960 --> 00:57:17,720
Speaker 1: Let's let's start this from the very beginning. So with brining,

929
00:57:18,000 --> 00:57:20,200
Speaker 1: brianing is for everybody. I'm sure you all know. It's

930
00:57:20,240 --> 00:57:23,320
Speaker 1: the idea of creating a water and salt based solution

931
00:57:23,320 --> 00:57:25,120
Speaker 1: that you're gonna put some sort of meat in with

932
00:57:25,280 --> 00:57:28,440
Speaker 1: the overall goal, right of making something that's juicier. Is

933
00:57:28,520 --> 00:57:30,720
Speaker 1: that correct? Is that what people would generally think to do.

934
00:57:31,320 --> 00:57:33,520
Speaker 1: I think that people would say that it's more tender

935
00:57:33,640 --> 00:57:37,760
Speaker 1: and june. All right, So there is. It is both

936
00:57:37,800 --> 00:57:40,040
Speaker 1: of those things technically, but it does it in a

937
00:57:40,160 --> 00:57:43,160
Speaker 1: way that's sort of somewhat misleading. So here's what happens,

938
00:57:43,200 --> 00:57:45,680
Speaker 1: Like most of muscle fiber is made up of something

939
00:57:45,720 --> 00:57:52,320
Speaker 1: called myofibral. Myofibral um is what allows us to store

940
00:57:52,440 --> 00:57:56,640
Speaker 1: water inside meat. So an animal itself has a basic

941
00:57:56,760 --> 00:58:00,960
Speaker 1: salinity level of about seven percent Mike natural really, yeah,

942
00:58:01,200 --> 00:58:03,880
Speaker 1: and fish and meat have almost identical salinity levels, believe

943
00:58:03,920 --> 00:58:07,800
Speaker 1: it or not. Um. When we introduce a brine, we're

944
00:58:07,800 --> 00:58:12,680
Speaker 1: attempting to increase that level in order to do two things.

945
00:58:12,800 --> 00:58:16,000
Speaker 1: One is to create an osmotic reaction where the fibers,

946
00:58:16,080 --> 00:58:21,040
Speaker 1: the myofibral actually holds or encapsulates moisture, in this case water.

947
00:58:21,760 --> 00:58:24,400
Speaker 1: The other is to tenderize it. And the tenderization actually

948
00:58:24,440 --> 00:58:29,000
Speaker 1: takes place because the salt disrupts the natural chemical bonds

949
00:58:29,200 --> 00:58:32,760
Speaker 1: of the protein and so they can't do their normal

950
00:58:32,960 --> 00:58:35,680
Speaker 1: tightening up thing the way that they would normally, and

951
00:58:35,760 --> 00:58:38,680
Speaker 1: so it appears more tender to you. I don't think

952
00:58:38,720 --> 00:58:40,960
Speaker 1: it actually if we ran it in this I don't

953
00:58:41,000 --> 00:58:43,880
Speaker 1: think it will actually be more tender, but it will

954
00:58:44,000 --> 00:58:47,240
Speaker 1: appear and seem more tender while you're eating it. That John,

955
00:58:47,320 --> 00:58:49,680
Speaker 1: that's the third we're gonna try it. We're gonna see.

956
00:58:49,680 --> 00:58:51,800
Speaker 1: I Actually I don't know if that publication is can

957
00:58:51,920 --> 00:58:56,439
Speaker 1: be called. I don't know that that test, honestly, Steve,

958
00:58:56,440 --> 00:58:59,440
Speaker 1: I don't know if anybody ever has tested empirically to

959
00:58:59,480 --> 00:59:01,640
Speaker 1: see if it is it more tender, But it is

960
00:59:01,680 --> 00:59:04,760
Speaker 1: acknowledged scientifically that it will seem more tender because the

961
00:59:05,320 --> 00:59:08,600
Speaker 1: muscle fibers can't fight back with the salt concentration. I

962
00:59:08,680 --> 00:59:12,320
Speaker 1: cannot wait to take a hunk of dear meat, throw

963
00:59:12,400 --> 00:59:16,160
Speaker 1: half of it in a brine, half of it not,

964
00:59:17,400 --> 00:59:20,080
Speaker 1: and then have Chester goggle up and run them buggers

965
00:59:20,120 --> 00:59:22,680
Speaker 1: through there. All right. So but here's where, here's where

966
00:59:22,680 --> 00:59:27,480
Speaker 1: the train comes off the tracks, is that salt does

967
00:59:27,560 --> 00:59:29,360
Speaker 1: all those things that I just said. It causes that

968
00:59:29,440 --> 00:59:32,560
Speaker 1: as modic reaction because there's a there's an imbalance of

969
00:59:32,720 --> 00:59:36,600
Speaker 1: the natural salinity of the meat to the salt water concentration,

970
00:59:36,640 --> 00:59:40,560
Speaker 1: and so what happens is that it triggers the meat

971
00:59:40,680 --> 00:59:44,200
Speaker 1: to sort of expel it's moisture and then to bring

972
00:59:44,320 --> 00:59:47,080
Speaker 1: it back in at a new, a new salinity level.

973
00:59:47,120 --> 00:59:50,400
Speaker 1: Because what wants to happen cellularly is that it wants

974
00:59:50,440 --> 00:59:52,160
Speaker 1: the outside and the inside to be the same. And

975
00:59:52,240 --> 00:59:54,560
Speaker 1: so that's how you get the water into it, and

976
00:59:54,640 --> 00:59:59,160
Speaker 1: the myo fibral basically open up and they hold just water.

977
00:59:59,440 --> 01:00:01,440
Speaker 1: And that's the key point to this is that what

978
01:00:01,600 --> 01:00:05,120
Speaker 1: you're tasting in the extra juiciness is literally just water.

979
01:00:05,640 --> 01:00:08,320
Speaker 1: And so that's why when you Brian something and you

980
01:00:08,360 --> 01:00:10,200
Speaker 1: put a bunch of stuff in it to try to

981
01:00:10,280 --> 01:00:12,800
Speaker 1: make the Brian taste better, you only taste it on

982
01:00:12,880 --> 01:00:16,840
Speaker 1: the outside because that stuff can't penetrate with you. I've

983
01:00:16,880 --> 01:00:20,400
Speaker 1: I've had that explained, and I think you and I

984
01:00:20,520 --> 01:00:24,280
Speaker 1: discussed this about when you see Brian recipes and they're like,

985
01:00:24,480 --> 01:00:28,560
Speaker 1: add you know, a half bay leaf, Yeah, don't really

986
01:00:29,160 --> 01:00:31,240
Speaker 1: really right, don't do that. You'd be better off to

987
01:00:31,320 --> 01:00:34,000
Speaker 1: create some sort of seasoning mix something outside what you're saying, Like,

988
01:00:34,120 --> 01:00:36,520
Speaker 1: if you wanted to have like those acts, put them

989
01:00:36,600 --> 01:00:39,200
Speaker 1: on it, but put them on it right. Put don't

990
01:00:39,240 --> 01:00:43,920
Speaker 1: trust that it's gonna soak up some right like residue

991
01:00:44,280 --> 01:00:46,640
Speaker 1: on the outside where you can just apply it at

992
01:00:46,680 --> 01:00:49,120
Speaker 1: the ratio you like. Right, salt and sugar are really

993
01:00:49,160 --> 01:00:51,760
Speaker 1: the only two things that are of any value inside

994
01:00:51,760 --> 01:00:53,760
Speaker 1: of Brian salt sugar water, and you really don't need

995
01:00:53,800 --> 01:00:56,400
Speaker 1: to make it any more complicated than that. Um salt

996
01:00:56,680 --> 01:00:59,640
Speaker 1: in a c l um can can you can you can?

997
01:00:59,680 --> 01:01:01,160
Speaker 1: I bet yept on one of the things you mentioned,

998
01:01:01,680 --> 01:01:04,840
Speaker 1: you might, uh we can maybe even look this up.

999
01:01:05,400 --> 01:01:08,919
Speaker 1: You say an animal is has a salinity level? Yeah,

1000
01:01:09,120 --> 01:01:11,760
Speaker 1: do you know any saliny like like a Campbell's chicken

1001
01:01:11,800 --> 01:01:13,560
Speaker 1: noodle soup. Do you know what that is? I'm just curious,

1002
01:01:13,600 --> 01:01:16,520
Speaker 1: like what, like what they're talking about when they say that, what?

1003
01:01:17,240 --> 01:01:19,720
Speaker 1: How what the volume of salinity and processed food is? Yeah? Like,

1004
01:01:19,720 --> 01:01:21,600
Speaker 1: what'd you say? An animal is running around on the hoof?

1005
01:01:21,720 --> 01:01:24,720
Speaker 1: About seven percent is what they believe in seven percent

1006
01:01:24,840 --> 01:01:29,080
Speaker 1: parts per million kind of thing. So and so so anyhow,

1007
01:01:29,160 --> 01:01:32,080
Speaker 1: so we got this Brian, and there's been a lot

1008
01:01:32,080 --> 01:01:34,200
Speaker 1: of studies in this. You know, Cooke's Illustrated published a

1009
01:01:34,240 --> 01:01:37,800
Speaker 1: Brian recipe that ends up being about a fifteen percent solidity,

1010
01:01:38,120 --> 01:01:39,920
Speaker 1: and they said that their test proved that that was

1011
01:01:40,000 --> 01:01:42,800
Speaker 1: the best. The University of Georgia, which has one of

1012
01:01:42,840 --> 01:01:45,440
Speaker 1: the best meat science schools in the country and actually

1013
01:01:45,520 --> 01:01:50,320
Speaker 1: has literally an expert on brining. Her published recommendation is

1014
01:01:50,400 --> 01:01:52,800
Speaker 1: that it should be about half of that, about seven

1015
01:01:52,880 --> 01:01:56,760
Speaker 1: point eight percent. They have a brining expert. Yeah, believe

1016
01:01:56,760 --> 01:01:59,200
Speaker 1: it or not, you g a go dogs. Um so anyhow,

1017
01:02:01,720 --> 01:02:08,360
Speaker 1: how that would be such a better job to explain

1018
01:02:08,440 --> 01:02:11,919
Speaker 1: to people. Yeah, what do you do? Let me tell you? Yeah,

1019
01:02:13,560 --> 01:02:17,040
Speaker 1: you fan of corn beef. So then all right, let's

1020
01:02:17,080 --> 01:02:20,440
Speaker 1: flash forward to corn beef. Because this process with the

1021
01:02:20,480 --> 01:02:24,560
Speaker 1: salt just keeps going, but at a tipping point it

1022
01:02:24,800 --> 01:02:28,600
Speaker 1: starts to do the exact opposite thing. So salt, once

1023
01:02:28,640 --> 01:02:31,919
Speaker 1: you reach a salt concentration or a salinity level really

1024
01:02:32,000 --> 01:02:34,680
Speaker 1: north of in my opinion, some people say it's north

1025
01:02:34,720 --> 01:02:37,520
Speaker 1: of twenty. I've seen numbers as high as from a

1026
01:02:37,600 --> 01:02:43,840
Speaker 1: brine solution that what will end up happening is that correct.

1027
01:02:43,960 --> 01:02:46,000
Speaker 1: So what will end up happening is that the exact

1028
01:02:46,120 --> 01:02:49,280
Speaker 1: opposite will take place. The salt chemically when it breaks

1029
01:02:49,280 --> 01:02:51,120
Speaker 1: apart in A and C L, so you have sodium

1030
01:02:51,320 --> 01:02:55,480
Speaker 1: and chlorine so or chloride. So those two things can

1031
01:02:55,680 --> 01:03:02,080
Speaker 1: bond to the they can bond to the chemical elements

1032
01:03:02,160 --> 01:03:04,320
Speaker 1: of the meat itself and more importantly, the water in

1033
01:03:04,400 --> 01:03:07,040
Speaker 1: the meat. And so what they end up doing is

1034
01:03:07,120 --> 01:03:11,560
Speaker 1: that they then break the cellular structure of the meat

1035
01:03:11,600 --> 01:03:13,840
Speaker 1: itself and draw the water back out of it. And

1036
01:03:13,960 --> 01:03:17,080
Speaker 1: so that's how with corned beef, the corning you've actually

1037
01:03:17,480 --> 01:03:20,680
Speaker 1: dried that meat out, it is not as juicy. There

1038
01:03:20,840 --> 01:03:24,000
Speaker 1: is less moisture inside the muscle fiber than there would

1039
01:03:24,040 --> 01:03:26,160
Speaker 1: have been if that concentration of salt was lowered. A

1040
01:03:26,240 --> 01:03:31,160
Speaker 1: great way to witness that uh dry brining fish correct.

1041
01:03:31,360 --> 01:03:33,880
Speaker 1: So my boy this winter caught a big trout through

1042
01:03:33,920 --> 01:03:36,560
Speaker 1: the ice and he wanted to smoke it, and we

1043
01:03:36,680 --> 01:03:39,880
Speaker 1: made up a salt sugar salt brown sugar, and I

1044
01:03:39,960 --> 01:03:43,280
Speaker 1: had him pack it in there. I'm paraphrasing, but when

1045
01:03:43,320 --> 01:03:45,320
Speaker 1: he opened the fridge the next day and opened it up,

1046
01:03:45,360 --> 01:03:47,840
Speaker 1: he said something to the effect of holy shit, because

1047
01:03:47,880 --> 01:03:51,880
Speaker 1: that had turned to liquid. Yeah, And I was like,

1048
01:03:52,000 --> 01:03:55,000
Speaker 1: that's all the that's all the liquid those in your fish.

1049
01:03:55,720 --> 01:03:58,640
Speaker 1: And he ended up with something totally saturated and turned

1050
01:03:58,680 --> 01:04:00,320
Speaker 1: all that salt and sugar into a And then if

1051
01:04:00,360 --> 01:04:02,840
Speaker 1: you took that salt level higher, that's how now you're

1052
01:04:02,840 --> 01:04:05,440
Speaker 1: into the world of like gravlocks and nova and stuff

1053
01:04:05,480 --> 01:04:07,880
Speaker 1: like that, where you've actually pulled moisture out. So then

1054
01:04:07,960 --> 01:04:10,680
Speaker 1: that goes into the world of preservatives. And like why

1055
01:04:10,760 --> 01:04:14,160
Speaker 1: as salt a preservative Because salt concentration at a certain

1056
01:04:14,280 --> 01:04:18,680
Speaker 1: level will actually pull the water out of bacteria and

1057
01:04:18,800 --> 01:04:22,400
Speaker 1: it will kill the bacteria, So it basically will starve

1058
01:04:22,480 --> 01:04:25,280
Speaker 1: the bacteria of the necessary water that it needs, and

1059
01:04:25,360 --> 01:04:28,480
Speaker 1: the bacteria will die because of it. That's what's happening.

1060
01:04:29,520 --> 01:04:31,360
Speaker 1: I knew it was happening, but I know that that's

1061
01:04:31,400 --> 01:04:33,720
Speaker 1: what's happened. That's what's happening. And it's interesting that people

1062
01:04:34,720 --> 01:04:39,040
Speaker 1: knew something was going on for thousands of years, but

1063
01:04:39,200 --> 01:04:41,919
Speaker 1: maybe not quite what right. And then you know, people,

1064
01:04:41,960 --> 01:04:43,560
Speaker 1: I'm sure we'll go, but wait, but you have a

1065
01:04:43,600 --> 01:04:46,360
Speaker 1: lot of salt in other so it's not all bacteria.

1066
01:04:46,480 --> 01:04:49,640
Speaker 1: Things like lactic lactic bacteria like what you expect in

1067
01:04:49,760 --> 01:04:53,720
Speaker 1: sauer kraut, for example, like fermented foods um, they're not

1068
01:04:53,800 --> 01:04:57,200
Speaker 1: affected by losing that moisture content. They can still stay alive.

1069
01:04:57,320 --> 01:04:59,360
Speaker 1: And those are bacteria that are good for us. So

1070
01:04:59,440 --> 01:05:01,920
Speaker 1: that's how you can select for the one. So the

1071
01:05:02,040 --> 01:05:04,360
Speaker 1: ones that the ones that are harmful to us need

1072
01:05:04,440 --> 01:05:09,920
Speaker 1: a certain water content and they can be killed by salt. Kevin,

1073
01:05:09,960 --> 01:05:13,280
Speaker 1: with you explaining all this stuff, I now understand why

1074
01:05:13,480 --> 01:05:16,720
Speaker 1: you're such a good cook. I thought you gonna say,

1075
01:05:16,720 --> 01:05:19,240
Speaker 1: you now understand why you got that lab coat? Yeah, exactly.

1076
01:05:22,800 --> 01:05:25,640
Speaker 1: A goose Brian this year for you know, trying to

1077
01:05:25,720 --> 01:05:27,680
Speaker 1: make corned beef, and it was by far and away

1078
01:05:27,760 --> 01:05:30,960
Speaker 1: the most simple Brian I've ever used, and and the

1079
01:05:31,040 --> 01:05:34,880
Speaker 1: best by far, and it just came out like perfect beef.

1080
01:05:35,200 --> 01:05:37,800
Speaker 1: Like it was a candidate Canada geese that Sean and

1081
01:05:37,880 --> 01:05:43,120
Speaker 1: I shot in North Dakota and I three goose bress

1082
01:05:43,240 --> 01:05:47,280
Speaker 1: in a week, you know, proving my my theory. And

1083
01:05:48,000 --> 01:05:50,800
Speaker 1: and then I was like, Okay, I know I'm gonna

1084
01:05:50,800 --> 01:05:52,600
Speaker 1: get a bunch of geese in December, and then I

1085
01:05:52,680 --> 01:05:56,160
Speaker 1: never did, and I'm freaking heartbroken. And you know, people,

1086
01:05:57,160 --> 01:06:01,240
Speaker 1: this is like a miss piece of misinformation, um because

1087
01:06:01,240 --> 01:06:04,600
Speaker 1: people talk about preservatives and buying food without preservatives, you know,

1088
01:06:04,960 --> 01:06:07,760
Speaker 1: and they think that when you go buy a can

1089
01:06:08,120 --> 01:06:10,680
Speaker 1: of organic tomatoes that means they don't have preservatives, like

1090
01:06:10,960 --> 01:06:14,240
Speaker 1: they still have it. The preservative is salt or it's sugar,

1091
01:06:14,400 --> 01:06:17,680
Speaker 1: where it's both of those things, and so the idea

1092
01:06:17,720 --> 01:06:21,360
Speaker 1: that they somehow are lacking preservatives is completely false. They

1093
01:06:21,440 --> 01:06:25,760
Speaker 1: just aren't using modern you know, modern food production uses

1094
01:06:26,120 --> 01:06:28,640
Speaker 1: a blend of a lot of different ones that attack

1095
01:06:28,960 --> 01:06:32,080
Speaker 1: very specific bacterial growth. So the reason this is in

1096
01:06:32,200 --> 01:06:35,600
Speaker 1: there is that addresses this bacteria. And so that's why

1097
01:06:35,680 --> 01:06:38,560
Speaker 1: you might see a laundry list of them because they're

1098
01:06:38,560 --> 01:06:41,280
Speaker 1: going for long as shelf life possible, obviously, and a

1099
01:06:41,360 --> 01:06:43,760
Speaker 1: lot of bacteria is anaerobic, so sealing it up doesn't

1100
01:06:43,800 --> 01:06:45,960
Speaker 1: make any difference, and sometimes, in fact, it makes it worse.

1101
01:06:46,920 --> 01:06:49,920
Speaker 1: What does the sugar do. So the sugar because of

1102
01:06:50,000 --> 01:06:52,400
Speaker 1: its chemical compounds, so it does a couple of things.

1103
01:06:52,480 --> 01:06:56,200
Speaker 1: So the sugar in it. Um. Sugar is also a liquifier,

1104
01:06:56,360 --> 01:06:58,360
Speaker 1: so it does the same thing that salt does. It

1105
01:06:58,440 --> 01:07:01,040
Speaker 1: will pull moisture out and those cells will try to

1106
01:07:01,120 --> 01:07:03,880
Speaker 1: achieve that same balance. The real reason you put sugar

1107
01:07:03,880 --> 01:07:06,200
Speaker 1: in a brine is to affect its overall flavor. Like

1108
01:07:06,280 --> 01:07:08,400
Speaker 1: it just makes it taste better, but it also does

1109
01:07:08,440 --> 01:07:11,560
Speaker 1: accomplish some of that osmotic reaction. You also will increase

1110
01:07:11,920 --> 01:07:15,120
Speaker 1: surface caramelization and a handful of other things. But um,

1111
01:07:16,040 --> 01:07:18,240
Speaker 1: at the end of the day, most scientists will tell

1112
01:07:18,240 --> 01:07:19,720
Speaker 1: you that the main reason that we put them in

1113
01:07:19,760 --> 01:07:22,320
Speaker 1: there is because we think they taste better at the

1114
01:07:22,400 --> 01:07:23,640
Speaker 1: end of the day, Like we're doing a lot of

1115
01:07:23,720 --> 01:07:25,960
Speaker 1: this for our personal as Steve was talking about with

1116
01:07:26,040 --> 01:07:29,000
Speaker 1: the Werner Bratzler, like you know, and they set the

1117
01:07:29,160 --> 01:07:31,000
Speaker 1: you know, we said Okay, this is this is what

1118
01:07:31,160 --> 01:07:34,040
Speaker 1: it's is acceptably tender, and you're like, that's not scientific,

1119
01:07:34,120 --> 01:07:37,040
Speaker 1: that's just our opinion. Well, this also goes from science

1120
01:07:37,080 --> 01:07:39,680
Speaker 1: into opinion at some point where we think in our

1121
01:07:39,760 --> 01:07:42,400
Speaker 1: opinion that it's better this way. And it's the same

1122
01:07:42,480 --> 01:07:45,840
Speaker 1: as the scientists will argue with you that it isn't

1123
01:07:45,960 --> 01:07:48,760
Speaker 1: juice here or it doesn't increase, like there's no more

1124
01:07:48,840 --> 01:07:51,640
Speaker 1: juices in the meat, that's just water. And we would say, yeah,

1125
01:07:51,640 --> 01:07:55,200
Speaker 1: but the extra water like conveys the extra salt and

1126
01:07:55,280 --> 01:07:57,280
Speaker 1: seasoning and everything else, and it tastes better. Like at

1127
01:07:57,280 --> 01:07:59,480
Speaker 1: the end of the day, we just think it tastes better. Well,

1128
01:07:59,520 --> 01:08:02,880
Speaker 1: it's like the is uh, you know, fancy chef types

1129
01:08:02,960 --> 01:08:05,840
Speaker 1: that are like, oh, you have to clarify your stock now,

1130
01:08:06,320 --> 01:08:08,840
Speaker 1: and I'm like, no, yeah, I want the clouds and

1131
01:08:08,920 --> 01:08:11,960
Speaker 1: the stuff in there. It tastes better. But yeah, but

1132
01:08:12,040 --> 01:08:13,720
Speaker 1: the clarifying stock, I think it was just like it

1133
01:08:14,040 --> 01:08:16,960
Speaker 1: is cosmetic, right, Oh, it has to be so your

1134
01:08:17,000 --> 01:08:19,439
Speaker 1: consummates are clear and that all right. Well that one

1135
01:08:19,800 --> 01:08:21,120
Speaker 1: that's in a whole other we're gonna have to say

1136
01:08:21,160 --> 01:08:26,920
Speaker 1: that you Sawn's Duck Report will have Kevin's Kevin's consummat

1137
01:08:28,240 --> 01:08:43,240
Speaker 1: Kevin's consummate conclusions, Kevin Salt report. Watch this transition. You

1138
01:08:43,280 --> 01:08:47,200
Speaker 1: know how the Warner Bradsler Sheer machine is a machine.

1139
01:08:48,120 --> 01:08:53,280
Speaker 1: Sure so is your phone. And on your phone and

1140
01:08:53,400 --> 01:08:55,200
Speaker 1: on your phone if you live in Wyoming, you can

1141
01:08:55,240 --> 01:09:00,960
Speaker 1: now download a new mobile app that acts road kill.

1142
01:09:01,320 --> 01:09:04,640
Speaker 1: It's more complicated that. Why don't we just joined the

1143
01:09:04,760 --> 01:09:09,080
Speaker 1: twenty nine others. It's so surprising to me that there

1144
01:09:09,120 --> 01:09:12,360
Speaker 1: are now thirty states where it's not or it is

1145
01:09:12,520 --> 01:09:16,519
Speaker 1: not a criminal act to eat an animal that a

1146
01:09:16,640 --> 01:09:22,880
Speaker 1: car hit in front of you. Interesting kill eating road kill.

1147
01:09:24,240 --> 01:09:26,640
Speaker 1: We grew up. I mean no, I would say all

1148
01:09:26,640 --> 01:09:28,840
Speaker 1: the time, like I would say most years. At some

1149
01:09:28,960 --> 01:09:31,519
Speaker 1: point we claimed some portion of Michigan. You claim some

1150
01:09:31,600 --> 01:09:33,840
Speaker 1: portion of a deer, you had to call the police

1151
01:09:33,880 --> 01:09:35,559
Speaker 1: and tell them you could bring it home. The cops

1152
01:09:35,640 --> 01:09:37,040
Speaker 1: that come out and give you a permit, whatever. It's

1153
01:09:37,080 --> 01:09:39,080
Speaker 1: just the thing you could do. Some guy in front

1154
01:09:39,120 --> 01:09:41,439
Speaker 1: of you clips the deer in the head and keep

1155
01:09:41,479 --> 01:09:43,600
Speaker 1: it for a long time. You weren't allowed to do

1156
01:09:43,680 --> 01:09:46,200
Speaker 1: that in Montana. And I always wanted to go to court.

1157
01:09:46,760 --> 01:09:49,479
Speaker 1: I wanted to do like a civil disobedience thing. And

1158
01:09:49,600 --> 01:09:52,200
Speaker 1: go to court and be like, yes, your honor um,

1159
01:09:52,680 --> 01:09:55,120
Speaker 1: I ate a piece of a deer that someone's car

1160
01:09:55,280 --> 01:10:01,560
Speaker 1: ran over. Guilty, throw the book guilty right, just to

1161
01:10:01,600 --> 01:10:03,080
Speaker 1: see what he'd end up saying. But then they made

1162
01:10:03,080 --> 01:10:05,040
Speaker 1: it illegal. Wyoming just do the same thing. So now

1163
01:10:05,600 --> 01:10:08,200
Speaker 1: thirty states that will allow people to collect road kill

1164
01:10:08,320 --> 01:10:12,280
Speaker 1: for food in certain circumstances. It's at warn't point now

1165
01:10:12,360 --> 01:10:14,360
Speaker 1: here in Alaska. It's long been a think, but only

1166
01:10:14,439 --> 01:10:18,040
Speaker 1: that they have a waiting list in Alaska. You can

1167
01:10:18,120 --> 01:10:23,000
Speaker 1: get on a list what Fairbanks Anchorage. You get on

1168
01:10:23,080 --> 01:10:25,280
Speaker 1: the list, someone hits some moose, go down the list,

1169
01:10:25,360 --> 01:10:30,200
Speaker 1: our calling phone numbers because hundreds of pounds. I like that.

1170
01:10:30,439 --> 01:10:33,760
Speaker 1: I actually ate road kill moose in Alaska. I stayed

1171
01:10:33,800 --> 01:10:35,599
Speaker 1: with a family who was on the list and they

1172
01:10:35,680 --> 01:10:38,479
Speaker 1: got a whole high and quarter. It was big. Yeah,

1173
01:10:38,479 --> 01:10:40,760
Speaker 1: And think about the moose too. It's like they're so

1174
01:10:40,960 --> 01:10:43,040
Speaker 1: big that even if you clocked let's let's say you

1175
01:10:43,200 --> 01:10:46,439
Speaker 1: clocked the back half of it, there's still two hundred

1176
01:10:46,439 --> 01:10:48,519
Speaker 1: pounds of it laying in the front half of it,

1177
01:10:48,960 --> 01:10:52,160
Speaker 1: you know. But Wyoming has this thing now, so you

1178
01:10:52,200 --> 01:10:55,240
Speaker 1: can download a mobile app. It allows you to claim

1179
01:10:55,360 --> 01:10:58,439
Speaker 1: road kill. But then also it collects the data to

1180
01:10:58,520 --> 01:11:02,719
Speaker 1: help highway offish and biologists decide where to put signs

1181
01:11:02,760 --> 01:11:06,120
Speaker 1: that warrnt of animal crossings on roads. It could even

1182
01:11:06,200 --> 01:11:08,519
Speaker 1: have who knows, some kind of long term implications for

1183
01:11:09,560 --> 01:11:14,160
Speaker 1: um wild they've crossings. State Wildlife and highway officials rolled

1184
01:11:14,200 --> 01:11:17,400
Speaker 1: out the app, which they're saying possibly the first of

1185
01:11:17,479 --> 01:11:20,000
Speaker 1: its kind in the US, which I read. I read

1186
01:11:20,080 --> 01:11:24,040
Speaker 1: to mean they don't know of any others, but didn't

1187
01:11:24,080 --> 01:11:29,040
Speaker 1: spend that much time looking. Yeah, probably say to say

1188
01:11:29,040 --> 01:11:31,760
Speaker 1: the first of its kind. They don't want to overam it.

1189
01:11:31,800 --> 01:11:34,960
Speaker 1: They don't want to overstep. They're being modest. Possibly the

1190
01:11:35,000 --> 01:11:38,040
Speaker 1: first of its kind in the US. This winner when

1191
01:11:38,320 --> 01:11:41,240
Speaker 1: they joined the thirty year or so states that allow

1192
01:11:41,280 --> 01:11:44,519
Speaker 1: people to collect road kill for food. So it's a

1193
01:11:44,760 --> 01:11:52,040
Speaker 1: department transportation app you can quickly claim accidentally killed deer, elk, moose,

1194
01:11:52,560 --> 01:11:57,560
Speaker 1: wild bison, and wild turkey after documenting the animal and

1195
01:11:57,760 --> 01:12:03,400
Speaker 1: reviewing the rules for collecting road kill to eat. Another

1196
01:12:03,479 --> 01:12:05,760
Speaker 1: thing is there's some rules around it, like they don't

1197
01:12:05,760 --> 01:12:08,160
Speaker 1: want you out in the dark along certain highways. They

1198
01:12:08,200 --> 01:12:10,439
Speaker 1: don't want you out in the dark on construction zones. Right,

1199
01:12:11,200 --> 01:12:13,519
Speaker 1: So there's something kind of walhed you through it a

1200
01:12:13,640 --> 01:12:18,320
Speaker 1: gripe I have with Montana's road kill law. Once you

1201
01:12:18,439 --> 01:12:21,720
Speaker 1: touch everything, you gotta take everything, okay, guts and all.

1202
01:12:22,720 --> 01:12:24,599
Speaker 1: You can't gourmet butcher on the side of the road,

1203
01:12:25,880 --> 01:12:28,479
Speaker 1: which is like the normal thing, right right right. If

1204
01:12:28,640 --> 01:12:30,320
Speaker 1: if some guy in front of you hit a deer

1205
01:12:30,400 --> 01:12:34,800
Speaker 1: in the head, you might just strip out the backstraps.

1206
01:12:35,120 --> 01:12:39,560
Speaker 1: You can't. You can't gut it, the whole steve. What's

1207
01:12:39,600 --> 01:12:44,519
Speaker 1: the law if somebody hit a buck, you take the

1208
01:12:44,600 --> 01:12:48,080
Speaker 1: whole thing, the whole animal, the whole thing. Unfortunately happens.

1209
01:12:48,080 --> 01:12:49,800
Speaker 1: If you want to get you can't get it taxed

1210
01:12:50,000 --> 01:12:52,840
Speaker 1: me though, could you? It doesn't know, it doesn't come

1211
01:12:52,880 --> 01:12:56,000
Speaker 1: across you having like a tag issue. It's not yours

1212
01:12:56,080 --> 01:13:02,120
Speaker 1: like you claim the animal and then highway patrol or

1213
01:13:02,520 --> 01:13:07,000
Speaker 1: Montana Fishing Game validates that for you. Right in Montana.

1214
01:13:07,240 --> 01:13:09,439
Speaker 1: That's how I wish he was here to explain it.

1215
01:13:09,560 --> 01:13:11,000
Speaker 1: I had a friend that had been watched and in

1216
01:13:11,080 --> 01:13:13,880
Speaker 1: this in Montana, was watching a big white tail on

1217
01:13:13,960 --> 01:13:17,840
Speaker 1: a trail camera and they found it dead. Here's how

1218
01:13:17,920 --> 01:13:20,760
Speaker 1: the story went. They found it dead, but it's like

1219
01:13:20,800 --> 01:13:24,160
Speaker 1: fifty yards off the road, Okay, He's like, obviously got

1220
01:13:24,240 --> 01:13:26,679
Speaker 1: hit by car, dragged itself into the woods and died.

1221
01:13:28,360 --> 01:13:33,920
Speaker 1: He wanted the antlers called, and I couldn't get it

1222
01:13:34,000 --> 01:13:36,240
Speaker 1: sorted out in the state took it away. So does

1223
01:13:36,280 --> 01:13:39,639
Speaker 1: the animal still like? But what about the whole road

1224
01:13:39,720 --> 01:13:41,680
Speaker 1: kill thing? Right, That's what I'm saying. It was too

1225
01:13:41,720 --> 01:13:44,479
Speaker 1: far along. It's like, I don't know if you're gonna

1226
01:13:44,479 --> 01:13:46,120
Speaker 1: do like a knee crops you on a dried up

1227
01:13:46,200 --> 01:13:47,920
Speaker 1: carcass found out in the woods and tell me that

1228
01:13:48,000 --> 01:13:49,639
Speaker 1: it's whatever, But we don't know that that's what happened

1229
01:13:49,640 --> 01:13:51,519
Speaker 1: to it. So it isn't the distance from the road.

1230
01:13:51,600 --> 01:13:54,840
Speaker 1: It was the time from death. This wasn't fresh. It

1231
01:13:55,040 --> 01:13:58,479
Speaker 1: is funny like in November peak deer rut in Montana.

1232
01:14:00,000 --> 01:14:02,240
Speaker 1: I mean you see a lot of decapitated road kill.

1233
01:14:02,400 --> 01:14:07,080
Speaker 1: Yeah yeah, Georgia as well. You know, like you go

1234
01:14:07,200 --> 01:14:08,559
Speaker 1: down the road and you're like, that must have been

1235
01:14:08,600 --> 01:14:11,240
Speaker 1: a buck doesn't have a head anymore. Uh. One time

1236
01:14:11,680 --> 01:14:15,640
Speaker 1: I was my buddy Julian and I had heard of

1237
01:14:15,680 --> 01:14:16,960
Speaker 1: like tagged out. I can't hember what it was. I

1238
01:14:17,040 --> 01:14:18,760
Speaker 1: was just sleeping on the couch and he left in

1239
01:14:18,840 --> 01:14:21,439
Speaker 1: the dark to go deer hunting, but then got back

1240
01:14:21,479 --> 01:14:26,920
Speaker 1: in the dark. I should tell the story because never mind,

1241
01:14:27,160 --> 01:14:31,479
Speaker 1: well we'd all been drinking. So what I was gonna

1242
01:14:31,479 --> 01:14:33,840
Speaker 1: tell is the story of an individual that wasn't his name.

1243
01:14:34,280 --> 01:14:36,920
Speaker 1: His name was definitely not Julia. I was screwed up

1244
01:14:36,920 --> 01:14:40,400
Speaker 1: about that part. But anyways, came back very quickly before

1245
01:14:40,439 --> 01:14:45,040
Speaker 1: it was even light out with the deer because he

1246
01:14:45,800 --> 01:14:48,880
Speaker 1: picked up a hit one tagged to hit one a

1247
01:14:49,040 --> 01:14:53,479
Speaker 1: road kill, and he thought, oh, that's good enough for me. Yeah,

1248
01:14:53,880 --> 01:14:56,120
Speaker 1: he's like back to bed, but I can't remember his name.

1249
01:14:56,880 --> 01:15:01,519
Speaker 1: Oh if Chester has the app up the road, yeah,

1250
01:15:01,600 --> 01:15:06,160
Speaker 1: you can just like say I hit a badger. You can,

1251
01:15:06,640 --> 01:15:12,720
Speaker 1: I don't know. You can line are animals slept from?

1252
01:15:12,800 --> 01:15:15,400
Speaker 1: Or you just type in animals. Yeah, So it's as

1253
01:15:15,720 --> 01:15:17,720
Speaker 1: report a road kill and then you click on that

1254
01:15:18,080 --> 01:15:21,559
Speaker 1: and there's antelope, bighorn, sheep, black bear, coyote, deer, elk,

1255
01:15:21,760 --> 01:15:26,759
Speaker 1: grizzly bear, moose, mountain goat, mountain lion, wild bison, wild turkey,

1256
01:15:26,920 --> 01:15:29,519
Speaker 1: and wolf. Those are the options. I feel like if

1257
01:15:29,560 --> 01:15:32,200
Speaker 1: you were reporting a bison that would already be reported

1258
01:15:32,240 --> 01:15:38,760
Speaker 1: by the giant NASCAR accident, it was still right there. Yeah,

1259
01:15:38,800 --> 01:15:41,320
Speaker 1: and there's like a little map that pops up. I

1260
01:15:41,400 --> 01:15:44,439
Speaker 1: haven't found any fresh road kills. I've been we have

1261
01:15:44,600 --> 01:15:47,840
Speaker 1: people been getting in there, man, look at that, but passionately.

1262
01:15:48,000 --> 01:15:51,400
Speaker 1: So this is through the Wyoming Department of Transportation. So

1263
01:15:51,960 --> 01:15:55,920
Speaker 1: like this has the icy roads and all that, but

1264
01:15:56,160 --> 01:15:57,560
Speaker 1: I got it all clouded up with a bunch of

1265
01:15:57,560 --> 01:15:59,880
Speaker 1: stuff no one cares about. But also part of the

1266
01:16:00,320 --> 01:16:02,160
Speaker 1: part of the point of the app is so that

1267
01:16:03,720 --> 01:16:07,040
Speaker 1: people can see where there are an increased number of collisions,

1268
01:16:07,600 --> 01:16:12,799
Speaker 1: and that people know where to put up Whatever state agency,

1269
01:16:12,880 --> 01:16:15,120
Speaker 1: maybe it's the Department of Transportation, I don't know, or

1270
01:16:15,160 --> 01:16:18,160
Speaker 1: not the Department of Transportation, whatever state agency in Wyoming

1271
01:16:18,200 --> 01:16:20,400
Speaker 1: would put signs up on the side of the road

1272
01:16:20,479 --> 01:16:23,960
Speaker 1: to say, like animal crossing, you know, be careful. Or

1273
01:16:24,560 --> 01:16:26,559
Speaker 1: maybe maybe you can draw the pin on where there's

1274
01:16:26,600 --> 01:16:31,000
Speaker 1: a police officer staked out checking speeds or whatever. Maybe

1275
01:16:31,080 --> 01:16:33,280
Speaker 1: that too. I think there's another called that. It's called

1276
01:16:33,320 --> 01:16:37,439
Speaker 1: ways quick correction. I have to make a correction as well,

1277
01:16:37,479 --> 01:16:39,160
Speaker 1: when you get a chance. Is it about what you

1278
01:16:39,200 --> 01:16:41,080
Speaker 1: just said? I realized that I said seven percent to

1279
01:16:41,120 --> 01:16:45,080
Speaker 1: you when I meant to say point seven percent point seven.

1280
01:16:45,320 --> 01:16:47,040
Speaker 1: I didn't know enough about what we're talking about. But

1281
01:16:47,120 --> 01:16:49,400
Speaker 1: I don't want some like scientists calling in and being

1282
01:16:49,439 --> 01:16:53,719
Speaker 1: like he's wrong. Point seven not seven? Is it natural salinity?

1283
01:16:54,120 --> 01:16:58,639
Speaker 1: Which is why a briand of seven creates the ideal scenario.

1284
01:16:58,920 --> 01:17:02,120
Speaker 1: Cran do you want to do your own crack? Sure? Okay,

1285
01:17:02,240 --> 01:17:04,639
Speaker 1: Crens got hit a crack. She screwed something not real bad. Yeah,

1286
01:17:04,760 --> 01:17:09,280
Speaker 1: big screw up, Yeah, huge screw up. No. I I

1287
01:17:09,400 --> 01:17:15,840
Speaker 1: thought that the South Dakota UM bounty for youth trappers,

1288
01:17:16,240 --> 01:17:19,439
Speaker 1: the youth season was in its first year, so that

1289
01:17:19,560 --> 01:17:21,439
Speaker 1: was my bad. This was this will actually be the

1290
01:17:21,560 --> 01:17:25,560
Speaker 1: fourth year. UM. Many folks from South Dakota wrote in

1291
01:17:25,640 --> 01:17:28,280
Speaker 1: about that, but a couple of folks pointed out that

1292
01:17:28,360 --> 01:17:31,400
Speaker 1: the reason why the bounty cap is at at a

1293
01:17:31,640 --> 01:17:33,920
Speaker 1: five nine. Yeah, we we were like, why can't a

1294
01:17:34,000 --> 01:17:35,640
Speaker 1: kid just poured the coles to it make a ton

1295
01:17:35,680 --> 01:17:38,960
Speaker 1: of money they caught them off at is for tax purposes.

1296
01:17:39,000 --> 01:17:40,920
Speaker 1: I guess you can probably go up to just under

1297
01:17:41,240 --> 01:17:44,640
Speaker 1: six hundred, uh, in which case you'd be issued a

1298
01:17:45,479 --> 01:17:48,360
Speaker 1: six hundred is like the cut off minimum for where

1299
01:17:48,360 --> 01:17:53,479
Speaker 1: you'd beat issued a T. They don't want to kids, Yeah, well,

1300
01:17:53,640 --> 01:17:56,639
Speaker 1: and hold on, it's not just kids, the early part

1301
01:17:56,720 --> 01:18:01,280
Speaker 1: of this first month. That's we're kind of covering, is

1302
01:18:01,320 --> 01:18:03,120
Speaker 1: that to let the kids get a crack at it first.

1303
01:18:03,400 --> 01:18:06,360
Speaker 1: You know the thing that because I listened to you

1304
01:18:06,439 --> 01:18:09,240
Speaker 1: guys talk about it, and obviously I live there and

1305
01:18:09,360 --> 01:18:15,759
Speaker 1: see it, um Sean was all the people writing it emils.

1306
01:18:16,120 --> 01:18:19,360
Speaker 1: It's been a busy week. You drive by plenty of

1307
01:18:19,720 --> 01:18:22,479
Speaker 1: skunks and raccoons on the side of the road with

1308
01:18:22,640 --> 01:18:26,840
Speaker 1: their tailbone and tail gone. Really, yeah, man, you should

1309
01:18:26,880 --> 01:18:30,920
Speaker 1: have said, uh, you should have said, uh, you just said, hey,

1310
01:18:30,920 --> 01:18:33,120
Speaker 1: you know how we were just talking about roadkill. We'll

1311
01:18:33,160 --> 01:18:38,519
Speaker 1: get this and transition transition. Yeah, well you guys already

1312
01:18:38,600 --> 01:18:41,800
Speaker 1: rolled in lay up transition, lay up. That he missed.

1313
01:18:42,240 --> 01:18:48,080
Speaker 1: I'm sorry to learning. Learning opportunity found right there the school, Sean,

1314
01:18:48,200 --> 01:18:50,599
Speaker 1: quit writing angry emails and when you could be learning

1315
01:18:50,640 --> 01:18:56,639
Speaker 1: on I was thinking, I was thinking about your your

1316
01:18:57,080 --> 01:19:00,160
Speaker 1: learning opportunity for public speaking last night with young uh

1317
01:19:00,520 --> 01:19:03,080
Speaker 1: young Mr James too. That was good. Yeah he went

1318
01:19:03,240 --> 01:19:05,720
Speaker 1: he yeah, took a real he almost went a little

1319
01:19:05,760 --> 01:19:09,439
Speaker 1: overboard in the end there. I mean, my hats off

1320
01:19:09,479 --> 01:19:13,160
Speaker 1: to him. I opened up, opened up, Uh, Jimmy, I

1321
01:19:13,200 --> 01:19:15,599
Speaker 1: allowed it. I invited him to do like a greeting

1322
01:19:15,640 --> 01:19:18,479
Speaker 1: over the dinner table, you know when you say like

1323
01:19:18,760 --> 01:19:21,680
Speaker 1: like thank you all to come. There was nothing overboard

1324
01:19:21,680 --> 01:19:24,200
Speaker 1: about that. That was just beautiful. It was good. He

1325
01:19:24,640 --> 01:19:27,840
Speaker 1: poured the coals to it. Chester. How's that? How's that

1326
01:19:27,920 --> 01:19:32,120
Speaker 1: chocolate covered peep treating you? The dudes eating the evidence?

1327
01:19:32,400 --> 01:19:35,320
Speaker 1: That is, No, we didn't. We didn't decapitate that one.

1328
01:19:35,479 --> 01:19:38,439
Speaker 1: No course sample, that's actual bird. It's a marshmall funny

1329
01:19:39,240 --> 01:19:41,759
Speaker 1: with sugar on it. Is it better than the regular peeple?

1330
01:19:42,880 --> 01:19:46,679
Speaker 1: More flavorful? Oh yeah, for sure. Purchased with mediator Amax.

1331
01:19:47,680 --> 01:19:51,479
Speaker 1: But like I but like I said, Kevin, you toast

1332
01:19:51,560 --> 01:19:54,400
Speaker 1: these with the sugar on the outside caramelizes it if

1333
01:19:54,439 --> 01:19:56,439
Speaker 1: you like a toast and marshmallows. Right, we should have

1334
01:19:56,520 --> 01:19:59,360
Speaker 1: run We should you guys to take the advanced chef

1335
01:19:59,439 --> 01:20:02,800
Speaker 1: talk like if there's a room with a restaurant. But

1336
01:20:02,840 --> 01:20:07,479
Speaker 1: I needed a good idea to say, hypothetically, if only

1337
01:20:07,520 --> 01:20:09,920
Speaker 1: we'd run a Graham cracker behind that peep instead of

1338
01:20:10,000 --> 01:20:11,800
Speaker 1: a piece of bread. We've been two thirds of the

1339
01:20:11,800 --> 01:20:17,639
Speaker 1: way too. Smore, Kenny Warner, what's been going on? Tell

1340
01:20:17,680 --> 01:20:20,040
Speaker 1: me something about yourself? I don't know yet. That you

1341
01:20:20,120 --> 01:20:24,439
Speaker 1: don't know yet. Um, I feel like I have been

1342
01:20:24,760 --> 01:20:28,880
Speaker 1: spending way too much time listening to songs about excavators

1343
01:20:29,840 --> 01:20:33,840
Speaker 1: because you have to have a child. I was like,

1344
01:20:33,920 --> 01:20:36,080
Speaker 1: I'm sitting here trying to think of one song about

1345
01:20:36,080 --> 01:20:38,800
Speaker 1: the next guy. Even earlier, when I was like, Oh, Chester,

1346
01:20:38,840 --> 01:20:41,759
Speaker 1: don't they call you THET I was thinking investigator because

1347
01:20:41,800 --> 01:20:44,520
Speaker 1: it rhymes with excavator, and I have all these excavator

1348
01:20:44,600 --> 01:20:48,120
Speaker 1: songs in my head. Your boys in that era were

1349
01:20:48,160 --> 01:20:53,759
Speaker 1: like machinery, earth moving equipment, anything, any yeah, heavy equipment,

1350
01:20:54,320 --> 01:20:57,320
Speaker 1: he corrects me. And he's only two, but he'll tell me, like, no,

1351
01:20:57,479 --> 01:21:03,760
Speaker 1: it's a front loader. So yeah, he want he wants

1352
01:21:03,800 --> 01:21:05,679
Speaker 1: to if he could pick his career right now, would

1353
01:21:05,680 --> 01:21:09,640
Speaker 1: be earth mover, he thinks so, and then whenever he

1354
01:21:09,720 --> 01:21:12,320
Speaker 1: gets a chance to like write in one, he just

1355
01:21:12,439 --> 01:21:14,600
Speaker 1: gets so nervous that he puts both his hands in

1356
01:21:14,680 --> 01:21:17,439
Speaker 1: his mouth and freaks out, like that's how excited he gets.

1357
01:21:18,120 --> 01:21:23,360
Speaker 1: Eat Yeah, yeah, yeah, neighbor, he keeps one of those

1358
01:21:23,400 --> 01:21:25,639
Speaker 1: parks in his backyard all the time, and that would

1359
01:21:25,720 --> 01:21:29,400
Speaker 1: make his day. Think about that? Would he would? He

1360
01:21:29,479 --> 01:21:31,760
Speaker 1: does he like any kind of machinery type stuff, any

1361
01:21:31,840 --> 01:21:36,400
Speaker 1: kind of contraptions he does. He likes forklifts. I mean,

1362
01:21:36,560 --> 01:21:38,439
Speaker 1: I'm just gonna say all the words he's saying to

1363
01:21:38,520 --> 01:21:44,360
Speaker 1: me every day. But a fork, cliff, pop cat, front loader, Yeah,

1364
01:21:44,600 --> 01:21:49,479
Speaker 1: big trucks, car carriers, foreman's busting my hump mom ye

1365
01:21:52,160 --> 01:21:56,160
Speaker 1: oh man, over time, dude. That reminds you. You know

1366
01:21:56,240 --> 01:21:58,439
Speaker 1: we told we told the Dirty Dan joke. That reminds

1367
01:21:58,479 --> 01:22:00,880
Speaker 1: me of another Dirty Dan joke. No, we didn't sell

1368
01:22:01,080 --> 01:22:03,960
Speaker 1: so creeped out. The whole thing is bleeped out. I

1369
01:22:04,000 --> 01:22:10,240
Speaker 1: thought it just bleeped out the bad words we hear.

1370
01:22:10,360 --> 01:22:16,680
Speaker 1: We hear you say rats, big baby, I want to

1371
01:22:16,720 --> 01:22:18,600
Speaker 1: hear the other dirty Dames. So good. It has to

1372
01:22:18,640 --> 01:22:22,600
Speaker 1: do with contractors. His experience is hanging out with some contractors.

1373
01:22:23,360 --> 01:22:30,280
Speaker 1: We're gonna tell no other than that. Um, I'm just

1374
01:22:30,560 --> 01:22:32,559
Speaker 1: I'm happy to be here. You hung out with Kevin

1375
01:22:32,640 --> 01:22:34,880
Speaker 1: and film with I got to hang out and cook

1376
01:22:34,960 --> 01:22:39,960
Speaker 1: some octopus with Kevin yesterday and that was amazing, subjectively tender.

1377
01:22:40,120 --> 01:22:42,120
Speaker 1: We haven't run it through the Warner Bratler yet, but

1378
01:22:42,200 --> 01:22:48,040
Speaker 1: we feel like it was social. So good. That's the

1379
01:22:48,120 --> 01:22:53,960
Speaker 1: name of my new album. And uh and you're gonna

1380
01:22:53,960 --> 01:22:57,280
Speaker 1: You're gonna be working on a spear fishing series. I am.

1381
01:22:57,400 --> 01:22:59,080
Speaker 1: I didn't know we were allowed to talk about that.

1382
01:23:00,000 --> 01:23:06,679
Speaker 1: Don't say too much. We could say it's still totally

1383
01:23:06,880 --> 01:23:10,120
Speaker 1: in the works. Nothing has been filmed yet, but we've

1384
01:23:10,120 --> 01:23:13,439
Speaker 1: got a lot of good ideas for this for part

1385
01:23:13,640 --> 01:23:18,000
Speaker 1: series of spear fishing that will be on Meat Eaters YouTube.

1386
01:23:18,720 --> 01:23:21,000
Speaker 1: That's gonna be exciting, I hope. So. Yeah, I think

1387
01:23:21,040 --> 01:23:24,880
Speaker 1: so people like watching spear fishing stuff. It's fascinating. I

1388
01:23:24,960 --> 01:23:28,200
Speaker 1: mean it's like taking someone to another planet, like you

1389
01:23:28,320 --> 01:23:31,479
Speaker 1: literally are leaving the world that you know and being

1390
01:23:31,520 --> 01:23:34,800
Speaker 1: able to be the eyes for people who don't get

1391
01:23:34,840 --> 01:23:38,040
Speaker 1: to get down there and see it and and maybe

1392
01:23:38,120 --> 01:23:42,519
Speaker 1: won't and maybe won't. Yeah, so I really like it.

1393
01:23:42,640 --> 01:23:46,400
Speaker 1: I think it's fascinating no matter what. But um, it's

1394
01:23:46,479 --> 01:23:48,800
Speaker 1: been it's been really nice to see that so many

1395
01:23:48,880 --> 01:23:52,120
Speaker 1: people who don't even live by the ocean, how fascinating

1396
01:23:52,280 --> 01:23:56,760
Speaker 1: it is for them to Yeah. Sure, uh And then

1397
01:23:57,080 --> 01:24:01,040
Speaker 1: you did like an early was it was it your

1398
01:24:01,120 --> 01:24:07,000
Speaker 1: first duck hunt? Oh? Absolutely? Sean here, Yeah, famous for

1399
01:24:07,320 --> 01:24:13,519
Speaker 1: you might know him from Sean's Duck Report. Yeah, duck

1400
01:24:13,600 --> 01:24:16,160
Speaker 1: hunting is something I mean I don't I never knew

1401
01:24:16,200 --> 01:24:18,799
Speaker 1: a lot about it. I just really liked the idea

1402
01:24:19,200 --> 01:24:21,679
Speaker 1: of going out and getting a duck or a goose,

1403
01:24:21,800 --> 01:24:24,280
Speaker 1: And I didn't know there's a big difference between those two.

1404
01:24:24,520 --> 01:24:27,879
Speaker 1: But when you start throwing in buggers down the old Bratsler,

1405
01:24:29,439 --> 01:24:32,160
Speaker 1: then we'll see the difference. But growing up in Hawaii,

1406
01:24:32,600 --> 01:24:36,080
Speaker 1: it's just um, apparently we're the only state that doesn't

1407
01:24:36,160 --> 01:24:40,200
Speaker 1: have duck hunting. So yeah, Hawaii is the only state

1408
01:24:40,280 --> 01:24:45,320
Speaker 1: without a waterfowl season because Hawai does get birds that

1409
01:24:45,439 --> 01:24:50,040
Speaker 1: migrate down like pintails and stuff even and they don't

1410
01:24:50,120 --> 01:24:55,080
Speaker 1: want to like persuade those birds to not migrate to

1411
01:24:55,240 --> 01:24:59,080
Speaker 1: why because it's such a because we're the most isolated

1412
01:24:59,160 --> 01:25:01,120
Speaker 1: land mass on the on it. So they're afraid that

1413
01:25:01,240 --> 01:25:03,360
Speaker 1: if there's pressure put on them, they'll just be like, oh,

1414
01:25:03,400 --> 01:25:05,880
Speaker 1: we'll find somewhere else to go. Is that gonna you're

1415
01:25:05,880 --> 01:25:09,160
Speaker 1: not gonna like, you're not gonna use that to fulfill

1416
01:25:09,280 --> 01:25:12,280
Speaker 1: that little tidbit right there to fulfill your contract obligations

1417
01:25:12,320 --> 01:25:14,840
Speaker 1: about Shawn's dark report, Are you no, no, because you

1418
01:25:14,880 --> 01:25:17,679
Speaker 1: could have milked the whole one out of that. Okay,

1419
01:25:19,800 --> 01:25:22,240
Speaker 1: I don't want you to now claim it as like

1420
01:25:22,439 --> 01:25:24,599
Speaker 1: check it off your list, but just the heads up. Yeah,

1421
01:25:24,640 --> 01:25:26,400
Speaker 1: that would have been good. Done the whole dock report

1422
01:25:26,720 --> 01:25:28,400
Speaker 1: well and be done for the month. Or maybe I'll

1423
01:25:28,400 --> 01:25:30,120
Speaker 1: write an article on that. That's great, that'd be a

1424
01:25:30,160 --> 01:25:34,360
Speaker 1: good one. Yeah, it's pretty interesting that it's so the

1425
01:25:34,479 --> 01:25:37,560
Speaker 1: whole Hawaii chain is a duck refuge pretty much. I

1426
01:25:37,600 --> 01:25:40,920
Speaker 1: had no idea, And so it's as fascinating to me

1427
01:25:41,040 --> 01:25:43,320
Speaker 1: as the ocean for someone who hasn't seen the ocean,

1428
01:25:43,439 --> 01:25:45,560
Speaker 1: because you don't go out and shoot a duck or

1429
01:25:45,600 --> 01:25:47,639
Speaker 1: a goose and eat it. And that's the only things

1430
01:25:47,680 --> 01:25:50,280
Speaker 1: that like I read about in little, you know, fairy

1431
01:25:50,280 --> 01:25:53,839
Speaker 1: tale books and stuff. So the whole idea of bringing

1432
01:25:54,120 --> 01:25:56,320
Speaker 1: a duck home and putting it on the table just

1433
01:25:56,560 --> 01:25:59,439
Speaker 1: seemed literally out of this world to me. And then

1434
01:26:00,120 --> 01:26:03,800
Speaker 1: caw came to visit um when when you guys all

1435
01:26:03,880 --> 01:26:05,920
Speaker 1: came down to go spear fishing, and he brought me

1436
01:26:06,160 --> 01:26:11,320
Speaker 1: some mallards and gave me very so fat and gave

1437
01:26:11,400 --> 01:26:14,840
Speaker 1: me very specific instructions on how to cook it. I'm

1438
01:26:14,920 --> 01:26:17,759
Speaker 1: not screwed up, not to screw it up. Cow's always

1439
01:26:17,800 --> 01:26:23,720
Speaker 1: tell me not to screw it up, and so and

1440
01:26:23,800 --> 01:26:27,679
Speaker 1: I didn't. And it was literally one of the most

1441
01:26:27,760 --> 01:26:31,680
Speaker 1: delicious things I've ever eaten, and so that just elevated

1442
01:26:31,880 --> 01:26:34,960
Speaker 1: my infatuation with the idea of being able to get

1443
01:26:35,000 --> 01:26:37,240
Speaker 1: my own bird so much. Can we back up on

1444
01:26:37,320 --> 01:26:40,439
Speaker 1: the Hawaii thing from it? Is that prohibition on duck

1445
01:26:40,520 --> 01:26:45,599
Speaker 1: hunting so ingrained that people just don't even what's going

1446
01:26:45,600 --> 01:26:51,120
Speaker 1: on you're digging around with people just don't even think

1447
01:26:51,160 --> 01:26:55,200
Speaker 1: about he's so ingrained that did it? Like for let

1448
01:26:55,240 --> 01:26:58,040
Speaker 1: me gear, for instance, in Michigan, you could not hunt

1449
01:26:58,120 --> 01:27:01,800
Speaker 1: doves because of some if you low but everybody around

1450
01:27:01,840 --> 01:27:04,800
Speaker 1: you can hunt dubs, So people would not a day

1451
01:27:04,880 --> 01:27:10,599
Speaker 1: goes by. That's an exaggeration, not a month goes by.

1452
01:27:11,479 --> 01:27:14,240
Speaker 1: Someone does a bit about not being able to hunt dubs. No,

1453
01:27:14,360 --> 01:27:16,240
Speaker 1: it's not. I wouldn't say it's the same at all.

1454
01:27:16,280 --> 01:27:20,080
Speaker 1: And I think it's because we are so isolated and

1455
01:27:20,200 --> 01:27:22,919
Speaker 1: that it's not like we're just looking over our shoulders

1456
01:27:22,960 --> 01:27:25,880
Speaker 1: and there's a state right next to us hunting ducks.

1457
01:27:26,080 --> 01:27:28,360
Speaker 1: You know, it's like we're on our own. We're in

1458
01:27:28,439 --> 01:27:30,280
Speaker 1: the middle of the ocean, in the middle of nowhere,

1459
01:27:30,400 --> 01:27:33,280
Speaker 1: and so I don't think we have that comparison. I

1460
01:27:33,320 --> 01:27:36,439
Speaker 1: don't even think it's a thought in most people's heads. Like,

1461
01:27:37,160 --> 01:27:39,080
Speaker 1: I didn't know that we were the only state that

1462
01:27:39,160 --> 01:27:41,760
Speaker 1: didn't have duck hunting until Sean told me that. I

1463
01:27:41,920 --> 01:27:44,920
Speaker 1: just knew that I've never seen somebody bring home a duck,

1464
01:27:45,280 --> 01:27:48,400
Speaker 1: you know, you know, uh, I was in one of

1465
01:27:48,439 --> 01:27:50,479
Speaker 1: the times I was in South America on on on

1466
01:27:50,560 --> 01:27:54,880
Speaker 1: a river trip down there. There's birds, like every kind

1467
01:27:54,880 --> 01:27:57,519
Speaker 1: of bird all overplace all the time. It's just like birds, birds, birds,

1468
01:27:57,560 --> 01:28:02,400
Speaker 1: you know, um and the Amberanians like they know what

1469
01:28:02,520 --> 01:28:04,760
Speaker 1: they are, but there's only certain like ones that look

1470
01:28:04,920 --> 01:28:08,080
Speaker 1: very grouse like that they're interested in. And they have

1471
01:28:08,160 --> 01:28:10,599
Speaker 1: to sort of catch all phrase for edible birds. They

1472
01:28:10,680 --> 01:28:13,040
Speaker 1: know them individually, but sort of the same way we'd say,

1473
01:28:13,120 --> 01:28:16,880
Speaker 1: like game bird, they have a word. Well, one day,

1474
01:28:17,479 --> 01:28:19,200
Speaker 1: it's kind of seemed very out of place. You're in

1475
01:28:19,240 --> 01:28:21,560
Speaker 1: the jungle, but here comes a duct it looks like

1476
01:28:21,560 --> 01:28:22,920
Speaker 1: I don't know what it was, but it looks like

1477
01:28:23,000 --> 01:28:26,160
Speaker 1: a hand mold lands on the side of the river

1478
01:28:26,280 --> 01:28:28,920
Speaker 1: out in front of us in the jungle, and I thought,

1479
01:28:28,960 --> 01:28:32,080
Speaker 1: for a second, I aren't these boys if that's sort

1480
01:28:32,120 --> 01:28:37,639
Speaker 1: of in there game bird on their game bird radar.

1481
01:28:38,320 --> 01:28:40,519
Speaker 1: And as that bird landed, the bows that came out

1482
01:28:40,560 --> 01:28:43,920
Speaker 1: of the bottom of that boat. I was like, Okay,

1483
01:28:46,960 --> 01:28:52,640
Speaker 1: they're onto it, don't don't need me to help. Very

1484
01:28:52,680 --> 01:28:58,360
Speaker 1: short lived thought. You were like, so I'm gonna talk

1485
01:28:58,360 --> 01:29:02,120
Speaker 1: about the continuation. Sean gave you an invite, Okay, cool. Yeah,

1486
01:29:02,280 --> 01:29:06,080
Speaker 1: So basically, well you gave me the invite, Steve, because

1487
01:29:06,320 --> 01:29:09,320
Speaker 1: I started talking about how I always wanted to, you know,

1488
01:29:09,439 --> 01:29:11,920
Speaker 1: bring home a duck, and so then you invited. You

1489
01:29:12,200 --> 01:29:19,320
Speaker 1: introduced me to Sean and no, no, I love the

1490
01:29:19,439 --> 01:29:22,920
Speaker 1: idea of getting someone introduced to it to even see

1491
01:29:23,360 --> 01:29:26,880
Speaker 1: what it's about, because for me, the knowledge goes like

1492
01:29:28,000 --> 01:29:31,200
Speaker 1: so advanced on some things that to back it up

1493
01:29:31,280 --> 01:29:33,479
Speaker 1: to square one of like okay, we want the wind

1494
01:29:33,520 --> 01:29:37,479
Speaker 1: at our back. Okay, that's a duck. That was a

1495
01:29:37,640 --> 01:29:40,080
Speaker 1: huge thing. I was like, is that a duck. He's like, Nope,

1496
01:29:40,280 --> 01:29:44,439
Speaker 1: that's a that's a turn. That's a seagull. And like

1497
01:29:44,640 --> 01:29:49,400
Speaker 1: I like, I, hands down am the most green person

1498
01:29:49,880 --> 01:29:53,880
Speaker 1: that Sean ever took the biggest newbie ever, Like I

1499
01:29:54,320 --> 01:29:59,000
Speaker 1: never even shot a shotgun before. I was like intimidated

1500
01:29:59,040 --> 01:30:01,320
Speaker 1: by it at first, and he would say, like start

1501
01:30:01,400 --> 01:30:03,960
Speaker 1: talking about the different parts of it. I had no

1502
01:30:04,120 --> 01:30:08,120
Speaker 1: idea what he was talking about. Um, it was all.

1503
01:30:08,800 --> 01:30:10,200
Speaker 1: It was all so new to me. It was like

1504
01:30:10,400 --> 01:30:12,439
Speaker 1: such it was first of all, such a privilege to

1505
01:30:12,560 --> 01:30:14,680
Speaker 1: just like kind of come in and have someone like

1506
01:30:14,840 --> 01:30:17,320
Speaker 1: Sean be there to show me the ropes. But like

1507
01:30:18,280 --> 01:30:21,000
Speaker 1: it was just I was I was in awe of

1508
01:30:21,120 --> 01:30:24,559
Speaker 1: it all, like the fact that I know they're called blinds,

1509
01:30:24,640 --> 01:30:27,480
Speaker 1: but we got to like build a fort in the wilderness.

1510
01:30:28,479 --> 01:30:31,680
Speaker 1: That was so cool. Like like Sean was like, yeah,

1511
01:30:31,840 --> 01:30:35,040
Speaker 1: go get those you know, dead old um tumbleweeds. I'm

1512
01:30:35,080 --> 01:30:39,640
Speaker 1: like tumble one on cartoons. Like it was all like

1513
01:30:39,840 --> 01:30:43,120
Speaker 1: I was giddy. I was just like, oh my gosh,

1514
01:30:43,160 --> 01:30:46,559
Speaker 1: and like home decor, like make this a pretty little

1515
01:30:46,680 --> 01:30:50,400
Speaker 1: fort and yeah, and I asked him a lot of

1516
01:30:50,520 --> 01:30:53,519
Speaker 1: questions where I just saw like his face kind of

1517
01:30:53,560 --> 01:30:56,439
Speaker 1: going into shock and realized that he had to really

1518
01:30:57,040 --> 01:31:00,640
Speaker 1: back it up with, Um how fundamental we had to

1519
01:31:00,720 --> 01:31:03,519
Speaker 1: go to teach me about duck hunting. But I loved

1520
01:31:03,760 --> 01:31:07,880
Speaker 1: every second of it. Yeah, that was definitely the exciting part.

1521
01:31:07,960 --> 01:31:10,320
Speaker 1: When you would text me about me and Kimmy going

1522
01:31:10,439 --> 01:31:14,479
Speaker 1: duck hunting. Was I mean, I didn't realize quite how

1523
01:31:14,600 --> 01:31:17,800
Speaker 1: basic I'd get with it. Um, you know, like the

1524
01:31:17,920 --> 01:31:21,559
Speaker 1: night before we're talking about hen and Drake's I'm like, okay,

1525
01:31:21,600 --> 01:31:25,280
Speaker 1: wait no, so that's male female, you know, like stuff

1526
01:31:25,360 --> 01:31:28,320
Speaker 1: like that, which is it's it's fun to get to

1527
01:31:28,400 --> 01:31:31,960
Speaker 1: that level. It was, it was that was the exciting part.

1528
01:31:32,200 --> 01:31:35,120
Speaker 1: I never wore waiters before in my life, and I

1529
01:31:35,680 --> 01:31:37,600
Speaker 1: remember how small my boots were, and I had to

1530
01:31:37,680 --> 01:31:39,920
Speaker 1: pull them on b all your plaers every day. We

1531
01:31:39,960 --> 01:31:43,360
Speaker 1: had to use like a her boot size was for

1532
01:31:43,520 --> 01:31:47,200
Speaker 1: what her actual foot size would be right, but not

1533
01:31:47,439 --> 01:31:50,519
Speaker 1: with big heavy socks on. And then she was you know,

1534
01:31:50,640 --> 01:31:54,840
Speaker 1: she was wearing stocking foot and so she had to

1535
01:31:55,000 --> 01:31:59,400
Speaker 1: use like a monkey wrench to like jack the boot

1536
01:32:00,040 --> 01:32:02,799
Speaker 1: would know what happened her. After that, I said, Steve,

1537
01:32:03,600 --> 01:32:06,160
Speaker 1: a picture of me plucking off my bonails. All the

1538
01:32:06,240 --> 01:32:09,479
Speaker 1: tonils fell off. You don't want us. You might be

1539
01:32:09,720 --> 01:32:15,640
Speaker 1: right now naked, hairless kittens or something. I don't even know.

1540
01:32:16,280 --> 01:32:20,280
Speaker 1: I sent Cali video to d think just like I mean,

1541
01:32:20,680 --> 01:32:25,719
Speaker 1: like just the tonail. Like in that video there's Buddy's

1542
01:32:25,760 --> 01:32:31,280
Speaker 1: little commentary going, okay that from the boot that is

1543
01:32:31,400 --> 01:32:34,280
Speaker 1: just another in excruciating page. I was just really happy

1544
01:32:34,320 --> 01:32:36,960
Speaker 1: to be there, so I wasn't complaining, how the heck

1545
01:32:37,040 --> 01:32:40,320
Speaker 1: did you handle that? Had I had the h from

1546
01:32:40,479 --> 01:32:42,400
Speaker 1: I had. I lost a few of them one time,

1547
01:32:42,520 --> 01:32:47,280
Speaker 1: just from walking down a steep hill and like a

1548
01:32:47,400 --> 01:32:50,920
Speaker 1: long walk, and I could feel it. Yeah, and then

1549
01:32:51,000 --> 01:32:52,960
Speaker 1: and then I don't want it wasn't a month later

1550
01:32:53,160 --> 01:32:56,639
Speaker 1: a couple of them came off. Yeah, that's just another

1551
01:32:56,760 --> 01:33:01,240
Speaker 1: evolution in the in the suffering that we were, absolute suffering.

1552
01:33:01,400 --> 01:33:03,880
Speaker 1: That was. It's a good way to keep a kid happy.

1553
01:33:04,120 --> 01:33:09,360
Speaker 1: I took my tonail off for my nephew like that.

1554
01:33:09,680 --> 01:33:12,759
Speaker 1: Oh yeah, I just couldn't. He was like running circles

1555
01:33:12,800 --> 01:33:17,800
Speaker 1: around the chair. I couldn't quite grasp at all. Like

1556
01:33:17,880 --> 01:33:20,240
Speaker 1: it's kind of weird. I had his song cales. Tonails

1557
01:33:20,240 --> 01:33:23,160
Speaker 1: were always coming up. Yeah, buddy kept saying, ill, I

1558
01:33:23,479 --> 01:33:37,360
Speaker 1: want to hold it, complainting emotions. You guys hunted a

1559
01:33:37,400 --> 01:33:40,479
Speaker 1: place that a lot of people don't um regard as

1560
01:33:40,479 --> 01:33:42,599
Speaker 1: a big duck hunt state. And remember what our buddy

1561
01:33:42,640 --> 01:33:45,519
Speaker 1: Carl Malcolm was down there for years for work, and

1562
01:33:45,800 --> 01:33:47,439
Speaker 1: he would get into a little ducks now and then

1563
01:33:47,600 --> 01:33:50,400
Speaker 1: in New Mexico. And I remember always being surprised by that,

1564
01:33:50,880 --> 01:33:55,360
Speaker 1: because you know, you form these um everybody does it

1565
01:33:56,280 --> 01:33:59,200
Speaker 1: like you formed his impressions of places. You don't think

1566
01:33:59,280 --> 01:34:03,280
Speaker 1: that a lot of like people I guess where I

1567
01:34:03,400 --> 01:34:05,479
Speaker 1: grew up. I don't think of New Mexico as having

1568
01:34:06,080 --> 01:34:11,200
Speaker 1: right big now alpine right ski areas. You just imagined

1569
01:34:11,200 --> 01:34:13,439
Speaker 1: it being like a bunch of desert and you think

1570
01:34:13,479 --> 01:34:16,639
Speaker 1: it's like sand and cas for whatever the hell reason, right, Yeah,

1571
01:34:17,560 --> 01:34:20,360
Speaker 1: And likewise, you don't think of it as you know,

1572
01:34:20,439 --> 01:34:26,120
Speaker 1: a place that Leopold was doing wetlands research, and you know,

1573
01:34:26,240 --> 01:34:29,720
Speaker 1: you don't think about all the riparian areas. And um,

1574
01:34:30,040 --> 01:34:32,240
Speaker 1: I remember being shocked to learn that the mountain men

1575
01:34:32,960 --> 01:34:37,920
Speaker 1: would work down into New Mexico quite frequently beaver trapping, yeah,

1576
01:34:38,040 --> 01:34:40,320
Speaker 1: and I'm like, how could that be true? And there

1577
01:34:40,360 --> 01:34:48,080
Speaker 1: ice fishing the ice fish. Yeah, it was my decision

1578
01:34:48,360 --> 01:34:53,599
Speaker 1: to go there. Um you know that. And Kimmy Frankly

1579
01:34:53,680 --> 01:34:56,680
Speaker 1: was supposed to be on a different hunt originally then

1580
01:34:56,800 --> 01:35:01,240
Speaker 1: this hunt, and my whole original idea was to get

1581
01:35:01,320 --> 01:35:04,120
Speaker 1: heard of the salt Lake and experience all the variety

1582
01:35:04,320 --> 01:35:08,360
Speaker 1: of salt Lake. But uh, you know, with me catching

1583
01:35:08,479 --> 01:35:11,200
Speaker 1: COVID and a few other things going on, like didn't

1584
01:35:11,240 --> 01:35:14,160
Speaker 1: work out scheduling wise, and uh, I was like you

1585
01:35:14,240 --> 01:35:15,960
Speaker 1: know what, we can still make this work if we

1586
01:35:16,040 --> 01:35:19,400
Speaker 1: go to New Mexico. And where we went in New

1587
01:35:19,479 --> 01:35:22,920
Speaker 1: Mexico it was a place I'd never been, which is

1588
01:35:22,960 --> 01:35:25,400
Speaker 1: a lot of the kind of the you know, it's

1589
01:35:25,439 --> 01:35:27,880
Speaker 1: not the entire premise by any means of duck lore,

1590
01:35:28,360 --> 01:35:33,400
Speaker 1: but we like to go places that are figuring it

1591
01:35:33,439 --> 01:35:36,320
Speaker 1: out right, go figure out ducks on our own, not

1592
01:35:36,560 --> 01:35:41,280
Speaker 1: just taking necessarily the shoe in thing. And so I

1593
01:35:41,360 --> 01:35:43,519
Speaker 1: was going in blind as a bat on this. But

1594
01:35:43,720 --> 01:35:46,080
Speaker 1: we decided, you know, on a place and we were

1595
01:35:46,160 --> 01:35:50,040
Speaker 1: staying in a town called Truth or Consequences, my favorite

1596
01:35:50,080 --> 01:35:52,760
Speaker 1: town name of all time. Yeah, they like it was

1597
01:35:52,800 --> 01:35:55,720
Speaker 1: the game ship, right, tell that story a goofy deal.

1598
01:35:56,320 --> 01:35:58,040
Speaker 1: I think they should go back and change it back.

1599
01:36:00,000 --> 01:36:03,360
Speaker 1: I don't know. I like the name, now tell the story. Yeah,

1600
01:36:03,439 --> 01:36:07,200
Speaker 1: I think we actually finally gave it. It's like credibility.

1601
01:36:08,080 --> 01:36:11,639
Speaker 1: But we'll get into that. So. Yeah, Truth or Truth

1602
01:36:11,760 --> 01:36:17,000
Speaker 1: or Consequences was originally named Hot Springs and then probably

1603
01:36:17,000 --> 01:36:21,200
Speaker 1: the thirtieth Hot Springs and America problem. Yeah, and the

1604
01:36:22,000 --> 01:36:24,679
Speaker 1: I think the mayor back in nineteen fifty or something

1605
01:36:24,800 --> 01:36:28,639
Speaker 1: changed the name to Truth or Consequences after a game

1606
01:36:28,680 --> 01:36:32,840
Speaker 1: show a radio game show that he liked, and so

1607
01:36:33,120 --> 01:36:37,000
Speaker 1: try to lure No, it's like the game show was

1608
01:36:37,080 --> 01:36:43,320
Speaker 1: gonna go record an episode, right and whatever town would

1609
01:36:43,400 --> 01:36:47,000
Speaker 1: name themselves that, and the town voted to name themselves that,

1610
01:36:48,320 --> 01:36:50,400
Speaker 1: and in that game show host would go there like

1611
01:36:50,560 --> 01:36:53,160
Speaker 1: every year for the rest of his life. And it's

1612
01:36:53,200 --> 01:36:59,679
Speaker 1: just so it's disappointing with a name that bad. Sean

1613
01:37:00,080 --> 01:37:02,200
Speaker 1: when when he first picked me up, he's like, man,

1614
01:37:02,280 --> 01:37:04,960
Speaker 1: I thought this name was so badass. And oh yeah,

1615
01:37:05,000 --> 01:37:08,160
Speaker 1: I thought some heavy covered wagon ship went down there, man,

1616
01:37:08,320 --> 01:37:10,040
Speaker 1: you know what I mean. He's like, I thought, you know,

1617
01:37:10,200 --> 01:37:12,920
Speaker 1: cowboys were taken out to the desert and given the

1618
01:37:13,040 --> 01:37:15,080
Speaker 1: chance to tell their truth or if not, there left

1619
01:37:15,120 --> 01:37:17,960
Speaker 1: there to die and people cannibalizing each other. I don't

1620
01:37:17,960 --> 01:37:20,519
Speaker 1: know what I thought. I was like, Oh, a name

1621
01:37:20,640 --> 01:37:23,280
Speaker 1: like that, your mind can go wherever you want. To know.

1622
01:37:23,400 --> 01:37:26,360
Speaker 1: It's a game show. Yeah, no, it's a little lackluster,

1623
01:37:27,160 --> 01:37:32,080
Speaker 1: but uh so, yeah, that's where we went and like

1624
01:37:32,240 --> 01:37:36,080
Speaker 1: started Kimmy off right, like throwing her into the fire

1625
01:37:36,320 --> 01:37:40,280
Speaker 1: of learning how to duck hunt. You know, we we

1626
01:37:40,360 --> 01:37:42,720
Speaker 1: had no local contacts, We had no one there like

1627
01:37:43,040 --> 01:37:47,479
Speaker 1: teaching us about the area. We just started driving around,

1628
01:37:47,720 --> 01:37:53,280
Speaker 1: showing up at water and scouting ducks. And the first

1629
01:37:53,439 --> 01:37:55,840
Speaker 1: night we went out scouting, or the first day, I

1630
01:37:55,840 --> 01:38:00,920
Speaker 1: should say, the amount of ducks we've found in this

1631
01:38:01,200 --> 01:38:06,519
Speaker 1: one spot was just staggering. I mean one of those

1632
01:38:06,560 --> 01:38:13,040
Speaker 1: spots where I'm giddy with laughter and I'm good, yeah, yep,

1633
01:38:13,479 --> 01:38:17,000
Speaker 1: And you know, Max is going bananas with the long

1634
01:38:17,120 --> 01:38:21,040
Speaker 1: lens film and NonStop, just stoked, and we're like, you know,

1635
01:38:21,200 --> 01:38:22,760
Speaker 1: this is about as good as you can ask for

1636
01:38:22,800 --> 01:38:26,040
Speaker 1: it to be. And I even remarked to Kimmy, this

1637
01:38:26,320 --> 01:38:29,160
Speaker 1: just seems too good to be true. I'm not gonna

1638
01:38:29,200 --> 01:38:32,960
Speaker 1: get my hopes up. And oh I know where this

1639
01:38:33,080 --> 01:38:40,120
Speaker 1: is going. So yeah. The next morning we so what

1640
01:38:40,240 --> 01:38:43,760
Speaker 1: we had found where we were there was there's this

1641
01:38:43,880 --> 01:38:47,720
Speaker 1: little island on this west side of this lake, and

1642
01:38:48,720 --> 01:38:50,920
Speaker 1: we were kind of pulled up on this island watching

1643
01:38:50,960 --> 01:38:54,240
Speaker 1: these birds. And there was birds all around us out

1644
01:38:54,640 --> 01:38:57,639
Speaker 1: east of us, towards the main big water of the lake,

1645
01:38:57,760 --> 01:39:00,720
Speaker 1: wrapping around north of us and and settling on this

1646
01:39:00,880 --> 01:39:05,599
Speaker 1: west bank to our to the west island, and um,

1647
01:39:06,720 --> 01:39:08,760
Speaker 1: with what the wind was setting up to be, we

1648
01:39:08,920 --> 01:39:11,160
Speaker 1: decided we were instead of setting on this island, we

1649
01:39:11,240 --> 01:39:14,479
Speaker 1: were gonna set on this west bank, and that was

1650
01:39:14,600 --> 01:39:18,160
Speaker 1: kind of our game plan for the morning, which proved

1651
01:39:18,200 --> 01:39:21,960
Speaker 1: to be maybe the worst decoy set up I've ever

1652
01:39:22,040 --> 01:39:25,240
Speaker 1: set in my life. One of those ones where like

1653
01:39:25,439 --> 01:39:28,200
Speaker 1: when the sun comes up and the birds are flying

1654
01:39:28,560 --> 01:39:31,400
Speaker 1: and you realize, like just how bad you screwed the

1655
01:39:31,479 --> 01:39:34,800
Speaker 1: pooch and you're like not in the spot. It's like

1656
01:39:35,120 --> 01:39:37,840
Speaker 1: they like it a hundred yards that way. They hate

1657
01:39:37,960 --> 01:39:42,439
Speaker 1: where we're sitting. And um, but I mean there are

1658
01:39:42,479 --> 01:39:47,439
Speaker 1: so many birds that it just like that wasn't like

1659
01:39:47,560 --> 01:39:53,160
Speaker 1: the end all be all by means and Kimmy, I

1660
01:39:53,200 --> 01:39:55,040
Speaker 1: don't know how far how far into the hunt were we.

1661
01:39:56,600 --> 01:39:58,400
Speaker 1: I mean I think it was it was when the

1662
01:39:59,560 --> 01:40:01,599
Speaker 1: the sun I had just come up, not that long ago.

1663
01:40:01,640 --> 01:40:03,439
Speaker 1: It was pretty early on in the day. Because that

1664
01:40:03,600 --> 01:40:05,840
Speaker 1: day it did end up being pretty slow, Like we

1665
01:40:05,920 --> 01:40:08,040
Speaker 1: saw a lot of birds off in the distance, but

1666
01:40:08,160 --> 01:40:10,600
Speaker 1: as far as any coming and landing in our decoys,

1667
01:40:11,280 --> 01:40:14,200
Speaker 1: it didn't really happen. But in the morning it did,

1668
01:40:14,479 --> 01:40:18,120
Speaker 1: and um, some teals flew by and I and I

1669
01:40:18,280 --> 01:40:21,080
Speaker 1: just remember like the intensity, like you just being like

1670
01:40:21,360 --> 01:40:24,840
Speaker 1: there it does kill him. And and I missed. I

1671
01:40:24,960 --> 01:40:27,120
Speaker 1: missed the first one that flew by, and then a

1672
01:40:27,200 --> 01:40:29,960
Speaker 1: little while later another one came and I was able

1673
01:40:30,040 --> 01:40:33,000
Speaker 1: to nail that one and get my my first duck. Yeah.

1674
01:40:33,080 --> 01:40:38,000
Speaker 1: On her second shot at a duck, ever kills a duck,

1675
01:40:38,800 --> 01:40:41,280
Speaker 1: which was just impressive, you know, because it's I can

1676
01:40:41,360 --> 01:40:43,519
Speaker 1: remember my first duck took a box and a half

1677
01:40:43,560 --> 01:40:46,920
Speaker 1: of shells before. Yeah, but you probably like schooled up

1678
01:40:47,000 --> 01:40:49,320
Speaker 1: and um from spearfish, and you're schooled up and how

1679
01:40:49,360 --> 01:40:54,599
Speaker 1: to like track and track and lead, right, I would

1680
01:40:54,640 --> 01:40:57,519
Speaker 1: hope that the instinct is there. Um, But I was

1681
01:40:57,640 --> 01:41:01,479
Speaker 1: just I was over the moon surprise and just so ecstatic.

1682
01:41:01,680 --> 01:41:07,120
Speaker 1: Oh my gosh, we're both like that weird moment of

1683
01:41:07,200 --> 01:41:10,240
Speaker 1: where you're giggling with happiness but also like on the

1684
01:41:10,320 --> 01:41:12,599
Speaker 1: edge of teers, you know, just because you're so stoked

1685
01:41:12,600 --> 01:41:16,000
Speaker 1: about the moment. And uh, I think we shot three

1686
01:41:16,080 --> 01:41:19,880
Speaker 1: ducks at more. It was pretty slow, but we like

1687
01:41:20,120 --> 01:41:22,599
Speaker 1: at least kind of got that out of the way.

1688
01:41:22,680 --> 01:41:24,360
Speaker 1: It was pretty slow, and then when the sun came

1689
01:41:24,439 --> 01:41:27,760
Speaker 1: up it was directly in our face too, and the

1690
01:41:27,920 --> 01:41:32,640
Speaker 1: east side of the lake, um was smashing ducks. There

1691
01:41:32,680 --> 01:41:35,240
Speaker 1: was a bunch of hunters over there, and my goodness,

1692
01:41:35,520 --> 01:41:37,720
Speaker 1: like the shots coming from over there, and so we

1693
01:41:37,800 --> 01:41:41,560
Speaker 1: were kind of in this moment of oh, there's that

1694
01:41:41,680 --> 01:41:45,120
Speaker 1: local knowledge, right, like they knew something we didn't know.

1695
01:41:45,280 --> 01:41:48,559
Speaker 1: We saw all these birds over here, but they're shooting them,

1696
01:41:48,760 --> 01:41:53,160
Speaker 1: they're banging them over there and UH. Anyway, so we

1697
01:41:53,720 --> 01:41:57,679
Speaker 1: picked up and get back to the to the boat

1698
01:41:57,760 --> 01:42:03,519
Speaker 1: ramp and UH rangers there and he's just moving the

1699
01:42:03,680 --> 01:42:07,479
Speaker 1: dock and Max gets out of the boat to go

1700
01:42:07,600 --> 01:42:10,000
Speaker 1: get the truck and it's like a long walk back

1701
01:42:10,040 --> 01:42:13,479
Speaker 1: to the truck and he offers Max a ride and

1702
01:42:14,000 --> 01:42:16,680
Speaker 1: Max jumps in with him to get a ride back

1703
01:42:16,720 --> 01:42:22,160
Speaker 1: to the truck. And on their drive back, UM, he

1704
01:42:22,320 --> 01:42:27,080
Speaker 1: asked Max where where we hunted? Max goes the west side. Wait, no,

1705
01:42:28,400 --> 01:42:32,920
Speaker 1: the east side. And that was the extent of the conversation,

1706
01:42:33,080 --> 01:42:35,600
Speaker 1: and then they just like talked about other things and

1707
01:42:35,720 --> 01:42:38,040
Speaker 1: Max even brought that up when he came down back

1708
01:42:38,120 --> 01:42:40,280
Speaker 1: to us. Was like, I was like, what do you

1709
01:42:40,320 --> 01:42:42,080
Speaker 1: guys talk about? He's like, Oh, he just asked where

1710
01:42:42,120 --> 01:42:44,479
Speaker 1: we hunted and whatever else. I said, well, you know,

1711
01:42:45,080 --> 01:42:46,639
Speaker 1: you tell him we were over on that west side.

1712
01:42:46,640 --> 01:42:49,080
Speaker 1: He's like yeah, I couldn't remember, you know, I've I

1713
01:42:49,200 --> 01:42:51,120
Speaker 1: was like screwed up on where we were, so I

1714
01:42:51,160 --> 01:42:55,120
Speaker 1: got turned around. I said, both, which is just like

1715
01:42:56,600 --> 01:42:59,160
Speaker 1: just one of those things that like it's the damnedest thing.

1716
01:43:00,080 --> 01:43:05,320
Speaker 1: Um Anyway, So so that afternoon we went back out

1717
01:43:05,479 --> 01:43:10,400
Speaker 1: and checked out that spot and um or like that

1718
01:43:10,680 --> 01:43:13,519
Speaker 1: island with the wind situation is going to be the

1719
01:43:13,560 --> 01:43:15,400
Speaker 1: spot to be. We need to be out on that island.

1720
01:43:16,560 --> 01:43:19,760
Speaker 1: And so the next morning that's what we did, and

1721
01:43:19,880 --> 01:43:23,280
Speaker 1: we had like this just there's like a nice little

1722
01:43:24,320 --> 01:43:27,680
Speaker 1: nook in this rock to put a boat in, and like,

1723
01:43:28,080 --> 01:43:30,519
Speaker 1: you know, nice little flat spot to put a blind on,

1724
01:43:30,960 --> 01:43:33,479
Speaker 1: and you're just like, oh, this is this is perfect.

1725
01:43:33,680 --> 01:43:36,720
Speaker 1: You know. It was really nice, even as someone who

1726
01:43:36,760 --> 01:43:40,479
Speaker 1: doesn't know anything about duck hunting, like everything about that

1727
01:43:40,680 --> 01:43:45,120
Speaker 1: set up just felt perfect. And right when the sun

1728
01:43:45,240 --> 01:43:49,400
Speaker 1: came up, like ducks just started flying in everywhere. It was.

1729
01:43:51,160 --> 01:43:54,880
Speaker 1: It was action. It was amazing and um it was

1730
01:43:55,000 --> 01:43:58,200
Speaker 1: just like turned up a hundred times from the day before.

1731
01:43:58,640 --> 01:44:01,160
Speaker 1: And I kind of felt a lot more confident now

1732
01:44:01,200 --> 01:44:03,400
Speaker 1: because I already hadn't the first monkey off my back

1733
01:44:03,479 --> 01:44:06,360
Speaker 1: and I just started shooting and birds were just dropping

1734
01:44:06,400 --> 01:44:09,439
Speaker 1: and it was just the most amazing day ever. I

1735
01:44:09,600 --> 01:44:11,600
Speaker 1: just like when Sean told me to do something. I

1736
01:44:11,720 --> 01:44:14,719
Speaker 1: did it and it worked and it um and Kimmy

1737
01:44:14,840 --> 01:44:21,160
Speaker 1: was crushing it, like I'm truth is she's just smoking birds. Meanwhile,

1738
01:44:21,200 --> 01:44:26,320
Speaker 1: her toes or tone over and uh yeah, I mean

1739
01:44:26,439 --> 01:44:30,200
Speaker 1: she shoots like this, this drake pintail, that eight inch brig,

1740
01:44:30,960 --> 01:44:34,720
Speaker 1: you know, big beautiful winter pintail, and it's just like

1741
01:44:34,960 --> 01:44:37,840
Speaker 1: something dreams were made of how the hunt worked out,

1742
01:44:37,880 --> 01:44:40,439
Speaker 1: and you're getting singles and pairs and I don't even

1743
01:44:40,600 --> 01:44:43,080
Speaker 1: know what a what a stud or what a trophy is.

1744
01:44:43,080 --> 01:44:45,640
Speaker 1: All I know is that I just shot, like shaking

1745
01:44:45,760 --> 01:44:48,120
Speaker 1: and being like oh my god, Like I'm like, this

1746
01:44:48,240 --> 01:44:51,760
Speaker 1: isn't really stoked on how you couldn't have wrote it

1747
01:44:51,840 --> 01:44:53,760
Speaker 1: up any better for me? It was cool to see

1748
01:44:53,800 --> 01:44:56,360
Speaker 1: a variety of birds too, you know. The day before

1749
01:44:56,439 --> 01:44:58,640
Speaker 1: it was three teals that we shot, and on this

1750
01:44:58,840 --> 01:45:02,720
Speaker 1: day we're talking like pintails. We saw hand mallard, we

1751
01:45:02,800 --> 01:45:06,920
Speaker 1: saw widgeons. I shot you know, drake widgeon and peels

1752
01:45:07,040 --> 01:45:10,040
Speaker 1: and all kinds of things. Goad while I think, yeah,

1753
01:45:10,360 --> 01:45:14,720
Speaker 1: like it was. It was the best education and the

1754
01:45:14,840 --> 01:45:20,200
Speaker 1: most glorious feeling of victory, like we're just on and

1755
01:45:20,600 --> 01:45:23,839
Speaker 1: uh like that that hunt was wonderful. It was just perfect.

1756
01:45:24,360 --> 01:45:28,120
Speaker 1: And after that hunt, we head back to camp and

1757
01:45:28,560 --> 01:45:31,200
Speaker 1: we're talking about, you know, how awesome this is all going.

1758
01:45:31,400 --> 01:45:34,639
Speaker 1: And this is the best episode of my host season already.

1759
01:45:34,920 --> 01:45:37,559
Speaker 1: It's in the bag. Let's go do a plucking scene,

1760
01:45:38,200 --> 01:45:41,880
Speaker 1: you know, like we're we're we're good and um, so

1761
01:45:42,120 --> 01:45:43,439
Speaker 1: that's what we want to do. Want to do a

1762
01:45:43,479 --> 01:45:45,880
Speaker 1: plucking scene. Yeah, that afternoon we went and we were

1763
01:45:45,880 --> 01:45:47,880
Speaker 1: going to go just you know, pluck our birds and

1764
01:45:48,439 --> 01:45:51,639
Speaker 1: and honestly get some time lapse as a sunset stuff

1765
01:45:51,720 --> 01:45:57,960
Speaker 1: like that. And we drove because my truck was just

1766
01:45:58,080 --> 01:46:01,080
Speaker 1: stuffed full of you know, every thing, and hooked up

1767
01:46:01,120 --> 01:46:03,599
Speaker 1: to the boat and we're like, yeah, we'll just jump

1768
01:46:03,680 --> 01:46:09,160
Speaker 1: in the rental which is two wheel drive, and not

1769
01:46:09,280 --> 01:46:11,320
Speaker 1: to throw him under the bus, but Max is driving

1770
01:46:12,080 --> 01:46:16,880
Speaker 1: and we go down to the we go down to

1771
01:46:17,000 --> 01:46:21,280
Speaker 1: this sandy sand bar area and for whatever reason, he

1772
01:46:21,400 --> 01:46:25,479
Speaker 1: just pulls off like the packed you know, to track

1773
01:46:26,360 --> 01:46:29,760
Speaker 1: and sinks that sucker right up to the frame in

1774
01:46:30,360 --> 01:46:33,240
Speaker 1: real deep sand. And we tried digging it out for

1775
01:46:34,040 --> 01:46:36,240
Speaker 1: an hour. We tried a lot of stuff. We tried

1776
01:46:36,320 --> 01:46:40,000
Speaker 1: going around getting me woods, having to get under the tires,

1777
01:46:40,080 --> 01:46:44,160
Speaker 1: we tried rocks, we tried to try to dig the frame.

1778
01:46:44,560 --> 01:46:50,400
Speaker 1: I was texting cal what do we do? And eventually

1779
01:46:50,479 --> 01:46:52,439
Speaker 1: we get to the point of Max goes to walk

1780
01:46:52,600 --> 01:46:55,679
Speaker 1: up to like the closest house, which because he felt

1781
01:46:55,760 --> 01:46:59,439
Speaker 1: so bad because he knew that yeah, his driving did that.

1782
01:46:59,600 --> 01:47:02,280
Speaker 1: So so we're trying to call a tow truck by now.

1783
01:47:02,360 --> 01:47:03,880
Speaker 1: But I think Max just like was not going to

1784
01:47:03,960 --> 01:47:07,519
Speaker 1: accept that, like financial defeat, and so he's like, no,

1785
01:47:07,560 --> 01:47:10,000
Speaker 1: I'm gonna set off on foot and go knock door

1786
01:47:10,080 --> 01:47:12,240
Speaker 1: to door and I'm going to find us, you know,

1787
01:47:12,720 --> 01:47:16,760
Speaker 1: some help. And and Max gets to this house where

1788
01:47:17,560 --> 01:47:21,280
Speaker 1: he finds a guy that's I don't even know how to.

1789
01:47:21,600 --> 01:47:24,160
Speaker 1: Max was like on speaker phone and like knocking the

1790
01:47:24,240 --> 01:47:26,000
Speaker 1: door to door, and then he starts getting distracted and

1791
01:47:26,040 --> 01:47:28,040
Speaker 1: be like, wow, this one house has all this waterfall

1792
01:47:28,080 --> 01:47:30,519
Speaker 1: and gear in it and and no one's home, but man,

1793
01:47:30,600 --> 01:47:34,000
Speaker 1: this gear shots. Keep keep knocking, keep walking. Hold like

1794
01:47:34,080 --> 01:47:40,160
Speaker 1: he's casing the place in the yard to be best friends. Yes, no,

1795
01:47:40,320 --> 01:47:42,840
Speaker 1: that is what he is. That is exactly how Max

1796
01:47:43,000 --> 01:47:45,000
Speaker 1: is thinking about that. You know, he's thinking of it

1797
01:47:45,120 --> 01:47:48,160
Speaker 1: like hey, duck kinnor we should all be buddies. But

1798
01:47:48,280 --> 01:47:49,880
Speaker 1: then then he gets to this one house and this

1799
01:47:49,960 --> 01:47:52,160
Speaker 1: guy opens the door and says, are you the FBI

1800
01:47:52,360 --> 01:47:55,040
Speaker 1: or c I A and Max I say neither. He said,

1801
01:47:55,080 --> 01:47:57,960
Speaker 1: then come on in and have a beer, man, And

1802
01:47:59,120 --> 01:48:02,720
Speaker 1: apparently the guy's wife is playing the drums and you

1803
01:48:02,760 --> 01:48:04,760
Speaker 1: can hear the drums in the background, and Max is

1804
01:48:04,840 --> 01:48:07,680
Speaker 1: trying to give his pitch of like, you know, we

1805
01:48:07,800 --> 01:48:09,600
Speaker 1: just got stuck in the sand down there. Do you

1806
01:48:09,640 --> 01:48:12,519
Speaker 1: think you can help us out? And he's like, I'm retired,

1807
01:48:12,600 --> 01:48:15,559
Speaker 1: That's what I live for. Hold on, let me find

1808
01:48:15,600 --> 01:48:21,360
Speaker 1: some more gummies and find my keys. Yes and so,

1809
01:48:22,560 --> 01:48:24,920
Speaker 1: and Max is on speakers this is all happening. But

1810
01:48:25,040 --> 01:48:27,200
Speaker 1: I've been calling tow truck and now we end up

1811
01:48:27,240 --> 01:48:30,519
Speaker 1: in this situation where this guy is coming with his

1812
01:48:30,680 --> 01:48:34,320
Speaker 1: truck and the tow trucks already on the way. I'm like, Max,

1813
01:48:34,680 --> 01:48:38,400
Speaker 1: if the guy is, you know, having gummies, like, probably

1814
01:48:38,439 --> 01:48:40,000
Speaker 1: don't need him to come pull us out, you know,

1815
01:48:41,000 --> 01:48:44,800
Speaker 1: And uh, He's like, I don't know. He really he said,

1816
01:48:44,840 --> 01:48:47,960
Speaker 1: I'm coming down. He really wants to help. A quick note, Uh,

1817
01:48:48,240 --> 01:48:50,720
Speaker 1: we should run a go me through there through the

1818
01:48:54,600 --> 01:48:56,800
Speaker 1: it's going to turn into full time job here. But

1819
01:48:56,880 --> 01:48:59,800
Speaker 1: apparently while the guy was looking for his keys, this um,

1820
01:49:00,479 --> 01:49:03,559
Speaker 1: this big black, mysterious truck that we've been seeing around

1821
01:49:03,680 --> 01:49:07,599
Speaker 1: for days, Like yeah, like that, they're heavy. I don't

1822
01:49:07,640 --> 01:49:10,720
Speaker 1: know anything about tires and duck trucks, but all I

1823
01:49:10,760 --> 01:49:13,360
Speaker 1: know is these guys were like frothing over some truck

1824
01:49:13,520 --> 01:49:15,880
Speaker 1: envy every time we saw this truck somewhere. And even

1825
01:49:15,920 --> 01:49:17,960
Speaker 1: when we first got stuck, Max was like, well, what

1826
01:49:18,080 --> 01:49:20,120
Speaker 1: if we found the guy with the black truck, you know?

1827
01:49:20,400 --> 01:49:23,439
Speaker 1: And and that black truck pulled up to that house

1828
01:49:23,720 --> 01:49:26,000
Speaker 1: while the guy was looking for his keys did not

1829
01:49:26,200 --> 01:49:29,320
Speaker 1: live there, but just wanted to introduce himself and say, hey,

1830
01:49:29,360 --> 01:49:33,360
Speaker 1: I'm gonna be your neighbor for a while and that, yeah, yeah,

1831
01:49:33,680 --> 01:49:36,840
Speaker 1: this is a weird trip. And and Max was like,

1832
01:49:36,880 --> 01:49:38,360
Speaker 1: oh my god, it's the guy in the black truck.

1833
01:49:38,760 --> 01:49:42,040
Speaker 1: And so he went up to him, and Max is

1834
01:49:42,120 --> 01:49:46,920
Speaker 1: talking to the gummy bong lady, still playing pulls the

1835
01:49:47,280 --> 01:49:51,200
Speaker 1: truck guy yes to introduce himself to the gummy bongle Yes,

1836
01:49:52,600 --> 01:49:55,640
Speaker 1: is there? Yes, And while they're going to get the

1837
01:49:55,680 --> 01:49:58,240
Speaker 1: truck that they wished they had looking for the keys

1838
01:49:58,439 --> 01:50:02,080
Speaker 1: for his truck. Then then the cool truck pull it up,

1839
01:50:02,160 --> 01:50:05,920
Speaker 1: and Max was just like, you know, hey, like gave

1840
01:50:06,000 --> 01:50:08,559
Speaker 1: him the same pitch. And then so he showed up

1841
01:50:09,080 --> 01:50:11,720
Speaker 1: and he brings a friend. Yeah, which so yeah, the

1842
01:50:11,800 --> 01:50:15,760
Speaker 1: black truck was the pitch. Are you like just help

1843
01:50:15,840 --> 01:50:23,760
Speaker 1: us friendly? You know, just witness trying to do a transaction.

1844
01:50:23,800 --> 01:50:25,960
Speaker 1: He's just trying to get help. I don't know if

1845
01:50:26,000 --> 01:50:31,120
Speaker 1: he had a compensation pack okay in return for helping us.

1846
01:50:31,920 --> 01:50:36,240
Speaker 1: And so the like older gentleman in this in this

1847
01:50:36,360 --> 01:50:42,000
Speaker 1: big black truck has a friend with him and he's

1848
01:50:42,080 --> 01:50:43,800
Speaker 1: the guy that lives in the house with all the

1849
01:50:43,880 --> 01:50:47,360
Speaker 1: duck hunting stuff. And anyway, they agree they come down

1850
01:50:47,439 --> 01:50:49,880
Speaker 1: to help. So now we've got two trucks that come down,

1851
01:50:50,000 --> 01:50:54,880
Speaker 1: one gummy guy and the other um the black truck,

1852
01:50:56,040 --> 01:51:00,160
Speaker 1: and we got a great big yeah. So they get

1853
01:51:00,200 --> 01:51:03,439
Speaker 1: out to hook up and like we're laying out kind

1854
01:51:03,479 --> 01:51:06,040
Speaker 1: of how to get this thing out safely and easily.

1855
01:51:06,760 --> 01:51:09,800
Speaker 1: And the guy in the the two guys in the

1856
01:51:09,840 --> 01:51:12,960
Speaker 1: truck get out and the one guy comes over to

1857
01:51:13,040 --> 01:51:16,799
Speaker 1: introduce himself and Max is like just kind of staring

1858
01:51:16,840 --> 01:51:18,600
Speaker 1: at him a little bit, like looking at him, like

1859
01:51:18,720 --> 01:51:23,000
Speaker 1: he recognizes him. And he comes over and introduces himself,

1860
01:51:24,120 --> 01:51:29,160
Speaker 1: and uh, instantly, both Max and I are like, holy shit,

1861
01:51:29,840 --> 01:51:32,560
Speaker 1: Like this is a guy that Max is known for

1862
01:51:32,800 --> 01:51:36,960
Speaker 1: years since he was probably and used to work with,

1863
01:51:38,080 --> 01:51:43,360
Speaker 1: and um, you know he's this guy isn't just like

1864
01:51:43,600 --> 01:51:46,360
Speaker 1: a running the middle guy that you like run into

1865
01:51:46,520 --> 01:51:49,400
Speaker 1: every now and then as a buddy from town. This

1866
01:51:49,560 --> 01:51:53,600
Speaker 1: guy used to be like a really big name in

1867
01:51:53,720 --> 01:51:58,400
Speaker 1: waterfowl hunt and purposely took a step back and like

1868
01:51:58,600 --> 01:52:01,640
Speaker 1: got like went radio silent. No one knows where he

1869
01:52:01,800 --> 01:52:04,360
Speaker 1: is anymore, got out of the industry. Are we not

1870
01:52:04,479 --> 01:52:08,600
Speaker 1: saying his name? Okay? Oh yeah, because he does not

1871
01:52:09,000 --> 01:52:11,720
Speaker 1: and I don't. I don't know that country, so I

1872
01:52:11,760 --> 01:52:13,400
Speaker 1: don't know his name. But I will just say that

1873
01:52:13,479 --> 01:52:19,439
Speaker 1: it was willful forced into taking getting out of the industry. No,

1874
01:52:19,680 --> 01:52:22,200
Speaker 1: he didn't, Yeah, it was willful. Yeah, he wanted to

1875
01:52:22,320 --> 01:52:25,840
Speaker 1: just disappear, I guess. But but Shine and Bath, we're

1876
01:52:25,880 --> 01:52:27,840
Speaker 1: just like, you don't understand who this is, Like this

1877
01:52:27,960 --> 01:52:31,120
Speaker 1: guy is a legend, you know, like he was the man.

1878
01:52:31,800 --> 01:52:34,120
Speaker 1: And the fact that he's the one here with the

1879
01:52:34,200 --> 01:52:37,160
Speaker 1: black truck that we've been seeing around like and he's

1880
01:52:37,200 --> 01:52:40,280
Speaker 1: here to save us, Like this is amazing. Yeah, and

1881
01:52:40,520 --> 01:52:43,559
Speaker 1: so you know, it's kind of just one of those

1882
01:52:44,320 --> 01:52:48,400
Speaker 1: just weird serendipity moments. You're like, this doesn't make sense,

1883
01:52:48,439 --> 01:52:50,960
Speaker 1: how this is all shaken out. So anyway, he gets

1884
01:52:51,040 --> 01:52:55,160
Speaker 1: us pulled out and we're going to leave and he

1885
01:52:55,400 --> 01:53:01,000
Speaker 1: pulls into his place, Um, and I I stopped by

1886
01:53:01,040 --> 01:53:03,120
Speaker 1: their quick and I'm like, I gotta go, you know,

1887
01:53:03,240 --> 01:53:06,400
Speaker 1: say thanks one more time. He absolutely saved our can

1888
01:53:07,880 --> 01:53:11,880
Speaker 1: and uh walk over. We start chatting. He goes, so,

1889
01:53:11,880 --> 01:53:14,759
Speaker 1: where'd you guys hunt today? I said, oh, we hunted

1890
01:53:14,840 --> 01:53:18,880
Speaker 1: over on the We hunted over on that island. And

1891
01:53:19,000 --> 01:53:23,040
Speaker 1: he goes, uh, you know you can't hunt there, right,

1892
01:53:25,200 --> 01:53:31,280
Speaker 1: And my heart sank. I can imagine. I'm like, what

1893
01:53:31,320 --> 01:53:33,679
Speaker 1: do you mean you can't hunt there? There's no signs,

1894
01:53:33,760 --> 01:53:37,280
Speaker 1: there's no there's nothing on you know, on X there's

1895
01:53:37,360 --> 01:53:40,200
Speaker 1: no signs at the boat ramp. Nothing. He's like, yeah,

1896
01:53:40,439 --> 01:53:43,479
Speaker 1: there isn't like you're not going to see signs or anything,

1897
01:53:43,560 --> 01:53:48,640
Speaker 1: but you you can't hunt there according to according to

1898
01:53:49,320 --> 01:53:55,920
Speaker 1: the state park that manages this this lake. And I'm

1899
01:53:55,960 --> 01:53:59,000
Speaker 1: just like, I'm begging him for any kind of information, right,

1900
01:53:59,040 --> 01:54:02,519
Speaker 1: I'm like, you gotta mad apper anything. He's like no,

1901
01:54:02,800 --> 01:54:04,720
Speaker 1: I'm like well it's not on their website, you know.

1902
01:54:04,840 --> 01:54:07,439
Speaker 1: He's like, no, it's not, like but you can't hunt there.

1903
01:54:08,840 --> 01:54:13,840
Speaker 1: And so then I'm like, you know, ship Max, come

1904
01:54:13,920 --> 01:54:17,200
Speaker 1: on out here, Like what is it? What is it

1905
01:54:17,360 --> 01:54:19,720
Speaker 1: ten o'clock at night? Nine? It's probably nine o'clock. And

1906
01:54:19,880 --> 01:54:21,760
Speaker 1: I stayed in the truck when they jumped out to

1907
01:54:21,800 --> 01:54:24,000
Speaker 1: say thanks without it's just cold, and I'm like, man,

1908
01:54:24,560 --> 01:54:27,840
Speaker 1: they really love this guy, Like they just say we

1909
01:54:27,840 --> 01:54:30,560
Speaker 1: should really get home, like this is a long thank you,

1910
01:54:30,920 --> 01:54:33,960
Speaker 1: you know. But then they got back in the truck

1911
01:54:34,040 --> 01:54:37,200
Speaker 1: and the energy was just very, very different. We went

1912
01:54:37,360 --> 01:54:40,720
Speaker 1: from on a high to these episodes in the bag

1913
01:54:40,840 --> 01:54:46,240
Speaker 1: this is the best thing ever, like to just like, gut,

1914
01:54:46,720 --> 01:54:51,840
Speaker 1: we just did everything wrong. And when you told me that, like,

1915
01:54:53,200 --> 01:54:58,240
Speaker 1: oh man, like I can't even to process that feeling

1916
01:54:58,560 --> 01:55:03,040
Speaker 1: of having a day that just felt so special, you know.

1917
01:55:03,080 --> 01:55:04,760
Speaker 1: I mean that's what it was, is that we're all

1918
01:55:05,040 --> 01:55:08,840
Speaker 1: just like enjoying it and celebrating it and just um,

1919
01:55:09,400 --> 01:55:12,480
Speaker 1: every single bird that we shot it just like it

1920
01:55:12,640 --> 01:55:16,480
Speaker 1: was something that I spelt like the most sentimental victorious

1921
01:55:16,640 --> 01:55:19,840
Speaker 1: moment ever. And then to experience it together was so great,

1922
01:55:19,880 --> 01:55:22,760
Speaker 1: and I was just like living off of this fresh,

1923
01:55:22,920 --> 01:55:26,360
Speaker 1: fresh buzz and and then to be told that what

1924
01:55:26,480 --> 01:55:32,720
Speaker 1: we did was illegal was the most depressing, tainting feeling.

1925
01:55:33,320 --> 01:55:37,000
Speaker 1: And just I just I just want I did. I

1926
01:55:37,040 --> 01:55:39,720
Speaker 1: didn't want that to be true, Like my brain just

1927
01:55:39,880 --> 01:55:42,920
Speaker 1: didn't want that to be true. I just wanted to

1928
01:55:43,120 --> 01:55:46,760
Speaker 1: find a way where that wasn't true. UM, because I

1929
01:55:46,880 --> 01:55:49,440
Speaker 1: just that was a reality I wasn't quite ready to

1930
01:55:49,520 --> 01:55:53,800
Speaker 1: accept and we had no The other real hard part

1931
01:55:53,840 --> 01:55:57,000
Speaker 1: about it was that I'm pouring over stuff on my

1932
01:55:57,120 --> 01:56:01,080
Speaker 1: computer just trying to find like any way to confirm this,

1933
01:56:01,640 --> 01:56:04,920
Speaker 1: and you know, the state park is closed and there's

1934
01:56:04,960 --> 01:56:07,800
Speaker 1: no phone number for them, and there's no way to

1935
01:56:07,920 --> 01:56:15,280
Speaker 1: figure out how to get ahold of them. And eventually, honestly,

1936
01:56:15,400 --> 01:56:22,240
Speaker 1: looking through some um like emergency information I found on

1937
01:56:22,320 --> 01:56:25,200
Speaker 1: a forum somewhere, you know, recognize that like who you're

1938
01:56:25,200 --> 01:56:28,040
Speaker 1: supposed to call to get ahold of the state park

1939
01:56:28,480 --> 01:56:32,120
Speaker 1: is you're supposed to call the county dispatch, like you're

1940
01:56:32,160 --> 01:56:39,400
Speaker 1: calling nine one one pretty much, um. And we know

1941
01:56:39,600 --> 01:56:42,600
Speaker 1: we can't do that until the next morning pretty much

1942
01:56:42,760 --> 01:56:46,560
Speaker 1: because they're not accessible. They're not available the like the

1943
01:56:47,200 --> 01:56:52,640
Speaker 1: rangers aren't. UM. I had I had texted Cal earlier,

1944
01:56:52,840 --> 01:56:54,840
Speaker 1: just when our car was stuck, and I sent him

1945
01:56:54,880 --> 01:56:56,920
Speaker 1: a picture, and so right when I was calling into bed,

1946
01:56:56,960 --> 01:57:00,280
Speaker 1: he texted me back, put the floor mats under the

1947
01:57:00,360 --> 01:57:03,440
Speaker 1: tires for attraction. And I just wrote back, I'm like, um,

1948
01:57:03,880 --> 01:57:05,960
Speaker 1: we're not stuck, but we have bigger problems than that.

1949
01:57:06,360 --> 01:57:09,880
Speaker 1: And I actually told, you know, call what had happened.

1950
01:57:09,920 --> 01:57:13,480
Speaker 1: And he said to me, like where your exact text,

1951
01:57:13,560 --> 01:57:17,280
Speaker 1: I think was honesty is the best policy, um, and

1952
01:57:17,360 --> 01:57:20,280
Speaker 1: you need to like, you know, call, call and turn

1953
01:57:20,360 --> 01:57:25,280
Speaker 1: yourself in. And I just, man, like, I just felt

1954
01:57:25,280 --> 01:57:31,160
Speaker 1: like a freaking fugitive, you know, Like I I just

1955
01:57:31,200 --> 01:57:33,120
Speaker 1: couldn't even believe that I was reading those words. And

1956
01:57:33,160 --> 01:57:35,520
Speaker 1: so of go to sleep like on those words, like

1957
01:57:35,520 --> 01:57:36,920
Speaker 1: you know, and like, oh, we're gonna have to like

1958
01:57:37,440 --> 01:57:40,240
Speaker 1: and not and not having like because at that moment,

1959
01:57:40,440 --> 01:57:45,800
Speaker 1: like all you want is that like release of getting

1960
01:57:45,840 --> 01:57:50,720
Speaker 1: it off your chest, right, and it's like it's you know,

1961
01:57:50,840 --> 01:57:53,040
Speaker 1: eleven o'clock at night. There's literally nothing we can do

1962
01:57:53,240 --> 01:57:56,720
Speaker 1: right now. And it was just awful. It was awful.

1963
01:57:57,240 --> 01:58:03,120
Speaker 1: And so we went into the next morning with kind

1964
01:58:03,160 --> 01:58:06,880
Speaker 1: of two things hanging over our head. One that we

1965
01:58:07,040 --> 01:58:10,320
Speaker 1: now know all the footage we've shot so far can't

1966
01:58:10,320 --> 01:58:14,200
Speaker 1: be used, and even if it could be used, it

1967
01:58:14,240 --> 01:58:18,480
Speaker 1: would be wrong of us to use it. And because

1968
01:58:18,480 --> 01:58:22,840
Speaker 1: we're hunting somewhere we couldn't be and I should I

1969
01:58:22,840 --> 01:58:25,560
Speaker 1: should add a clarification on that. The spot that we

1970
01:58:25,640 --> 01:58:29,120
Speaker 1: were hunting is just not open to hunting. It's not

1971
01:58:29,360 --> 01:58:34,280
Speaker 1: a refuge or anything like that. Um, we didn't know

1972
01:58:34,320 --> 01:58:36,760
Speaker 1: what the ramifications were at the time, right, Like, we

1973
01:58:36,880 --> 01:58:40,200
Speaker 1: have no clue what's going to happen ultimately when we

1974
01:58:40,240 --> 01:58:42,200
Speaker 1: do get ahold of the rangers and talk to them

1975
01:58:42,240 --> 01:58:44,640
Speaker 1: about it, Like if you're gonna get coughed and stuffed, right,

1976
01:58:44,760 --> 01:58:48,320
Speaker 1: That's what I was thinking. But so we have that

1977
01:58:48,480 --> 01:58:51,600
Speaker 1: hanging over our head. But we also have this, you know,

1978
01:58:51,800 --> 01:58:56,720
Speaker 1: production matter hanging over our head. And so and I

1979
01:58:56,840 --> 01:58:59,440
Speaker 1: do regret this as a as a producer, for sure.

1980
01:59:00,280 --> 01:59:02,920
Speaker 1: Is you know, the in the morning, like my game

1981
01:59:03,000 --> 01:59:05,800
Speaker 1: plan is, okay, well, let's just start from scratch. Let's

1982
01:59:05,800 --> 01:59:08,440
Speaker 1: start like we never hunted the last two days, because

1983
01:59:08,480 --> 01:59:10,520
Speaker 1: that footage will never see the light of day anyway,

1984
01:59:11,360 --> 01:59:16,760
Speaker 1: and start from ground zero. And I wish I hadn't

1985
01:59:16,840 --> 01:59:19,800
Speaker 1: done that. But Sean just felt so bad because we

1986
01:59:19,920 --> 01:59:22,440
Speaker 1: had these you know, these days of shooting and producing

1987
01:59:22,520 --> 01:59:25,480
Speaker 1: and you're spending someone's production budget, Like that's a lot

1988
01:59:25,560 --> 01:59:27,840
Speaker 1: of pressure when you're the producer of something and it's

1989
01:59:27,840 --> 01:59:29,560
Speaker 1: all on your shoulders. And then to find out we

1990
01:59:29,640 --> 01:59:32,360
Speaker 1: had absolutely nothing usable and not only were we just

1991
01:59:32,960 --> 01:59:36,280
Speaker 1: wasting time not getting a show done, but we're doing

1992
01:59:36,400 --> 01:59:39,920
Speaker 1: things that were illegal. Like that's a lot to hold

1993
01:59:40,240 --> 01:59:44,240
Speaker 1: on your shoulders. And so he instantly went into solution

1994
01:59:44,320 --> 01:59:46,960
Speaker 1: mode of like, how do we save this episode? Can

1995
01:59:47,120 --> 01:59:49,280
Speaker 1: You're gonna have to pretend like this is your first

1996
01:59:49,360 --> 01:59:52,440
Speaker 1: bird all over again? And none of that felt right

1997
01:59:52,760 --> 01:59:54,840
Speaker 1: to any of us. And so now we're filming and

1998
01:59:54,880 --> 01:59:58,800
Speaker 1: I'm like, we had to do a whole intro again,

1999
01:59:59,400 --> 02:00:03,600
Speaker 1: we're not actors or actresses, Like, it just sucked big time.

2000
02:00:03,680 --> 02:00:07,520
Speaker 1: And again, it still wasn't even um. The offices weren't open,

2001
02:00:07,560 --> 02:00:09,720
Speaker 1: so we hadn't even turned ourselves in yet. So you

2002
02:00:09,840 --> 02:00:12,080
Speaker 1: just feel like a big And I'm on the phone

2003
02:00:12,120 --> 02:00:15,080
Speaker 1: with Steve just like trying to find a way to extend,

2004
02:00:16,280 --> 02:00:18,520
Speaker 1: you know, extend our shoots so we can at least

2005
02:00:18,600 --> 02:00:21,680
Speaker 1: have something to come from that we're there and still

2006
02:00:21,760 --> 02:00:24,400
Speaker 1: waiting to hear back from a game Warden or a ranger.

2007
02:00:24,640 --> 02:00:26,640
Speaker 1: And I was just so excited to eat my ducks

2008
02:00:26,680 --> 02:00:28,520
Speaker 1: and now I'm like, they're not even mine. And that

2009
02:00:28,720 --> 02:00:31,200
Speaker 1: was probably one of the most heartbreaking things, was just

2010
02:00:31,400 --> 02:00:38,840
Speaker 1: like tears. This is like my dream, you know, and

2011
02:00:38,920 --> 02:00:41,320
Speaker 1: now I just had this whole variety of pack of

2012
02:00:41,440 --> 02:00:45,640
Speaker 1: birds that like when when you get your prey, there's

2013
02:00:45,680 --> 02:00:49,120
Speaker 1: some sort of emotional connection that happens, just like this attachment,

2014
02:00:49,240 --> 02:00:51,040
Speaker 1: like where it becomes a part of you, and like,

2015
02:00:51,520 --> 02:00:54,000
Speaker 1: all of a sudden is just like those aren't even mine,

2016
02:00:54,680 --> 02:00:57,800
Speaker 1: you know, Like do I even will I even get

2017
02:00:57,880 --> 02:00:59,720
Speaker 1: to eat them? What's going to happen to them? Are

2018
02:00:59,760 --> 02:01:01,440
Speaker 1: they going to go to waste? That was one thing

2019
02:01:01,520 --> 02:01:04,480
Speaker 1: that just kept going through my head, like not only

2020
02:01:05,080 --> 02:01:06,920
Speaker 1: did you kill them in a place you weren't supposed to,

2021
02:01:07,360 --> 02:01:10,320
Speaker 1: but now what's going to happen to these birds? And

2022
02:01:10,560 --> 02:01:13,040
Speaker 1: so we're sitting on the east side where we know

2023
02:01:13,200 --> 02:01:16,560
Speaker 1: we can hunt, where all these guys have been shooting

2024
02:01:16,600 --> 02:01:19,000
Speaker 1: the heck out of birds, and now all of a sudden,

2025
02:01:19,000 --> 02:01:21,800
Speaker 1: the realization hits us, like the reason they were shooting

2026
02:01:21,840 --> 02:01:24,720
Speaker 1: the heck out of birds, it's because we were pushing

2027
02:01:24,760 --> 02:01:28,480
Speaker 1: all the birds out of the spot. Right, and so

2028
02:01:28,600 --> 02:01:31,160
Speaker 1: now we're sitting there waiting for a call back from

2029
02:01:31,960 --> 02:01:35,080
Speaker 1: from the ranger. And now we're sitting there waiting for

2030
02:01:35,160 --> 02:01:39,080
Speaker 1: a call back from the ranger, and it's crickets. We

2031
02:01:39,160 --> 02:01:42,320
Speaker 1: don't like, we don't have a duck anywhere. We didn't

2032
02:01:42,360 --> 02:01:46,000
Speaker 1: see one single all day. You really got to just

2033
02:01:46,040 --> 02:01:51,560
Speaker 1: sit in that blind alone with your feelings. It was miserable.

2034
02:01:51,960 --> 02:01:57,400
Speaker 1: And they're called forts kiming and we and we finally

2035
02:01:57,480 --> 02:02:00,440
Speaker 1: do get called sad for it that day, we finally

2036
02:02:00,520 --> 02:02:04,600
Speaker 1: do get a call from the from the ranger. And

2037
02:02:05,080 --> 02:02:08,480
Speaker 1: when I mean, we're talking an anvil off my shoulders

2038
02:02:08,720 --> 02:02:12,280
Speaker 1: because he's like, man, that happens all the time out here.

2039
02:02:12,960 --> 02:02:17,040
Speaker 1: We actually even changed some of the the layout of

2040
02:02:17,160 --> 02:02:23,440
Speaker 1: where can be hunted this year because of the drought. Um, like, no,

2041
02:02:23,680 --> 02:02:27,640
Speaker 1: you can't hunt there. I'm glad you called and told

2042
02:02:27,720 --> 02:02:30,760
Speaker 1: us that you hunted there, like, thank you for reporting,

2043
02:02:30,920 --> 02:02:33,880
Speaker 1: but nobody else called you in which, you know, looking

2044
02:02:33,920 --> 02:02:37,320
Speaker 1: back on it, I wonder why they're all like happy

2045
02:02:37,400 --> 02:02:47,320
Speaker 1: we were over and uh, you know, it's just one

2046
02:02:47,360 --> 02:02:50,520
Speaker 1: of those moments of did he right then and there? Say,

2047
02:02:51,320 --> 02:02:54,160
Speaker 1: well you're called that's it. First you have to call

2048
02:02:54,200 --> 02:02:56,880
Speaker 1: a dispatch and he's wanted to talk to a ranger,

2049
02:02:57,000 --> 02:02:59,160
Speaker 1: but in order to even talk to a ranger, you

2050
02:02:59,240 --> 02:03:01,080
Speaker 1: had to tell it dispatch everything that we did. And

2051
02:03:01,080 --> 02:03:03,720
Speaker 1: they're like, oh, okay, you know, and they have to

2052
02:03:03,760 --> 02:03:06,720
Speaker 1: call you, don't give you the number for the ranger,

2053
02:03:08,760 --> 02:03:10,400
Speaker 1: and then they range your call it back and and

2054
02:03:10,520 --> 02:03:14,480
Speaker 1: and he's like, you know, when we do ticket for it,

2055
02:03:14,920 --> 02:03:20,600
Speaker 1: you know, eight six dollar like state park violation, which

2056
02:03:20,680 --> 02:03:24,760
Speaker 1: is like, thank goodness, but no ticket. What do you

2057
02:03:24,760 --> 02:03:27,760
Speaker 1: tell you to do with your ducks? Just keep just

2058
02:03:27,840 --> 02:03:31,680
Speaker 1: keep Yeah, you know, it really was honesty. Yeah, and

2059
02:03:31,760 --> 02:03:34,400
Speaker 1: it's a it's a rule of that place, but it's

2060
02:03:34,440 --> 02:03:36,400
Speaker 1: not like it's a it's not like you're on a

2061
02:03:36,480 --> 02:03:41,040
Speaker 1: federal refuge or something like that. And uh So at

2062
02:03:41,080 --> 02:03:43,440
Speaker 1: that moment kind of we have like at least the

2063
02:03:43,760 --> 02:03:47,840
Speaker 1: comfort of knowing like that's kinda in the wind. But

2064
02:03:48,000 --> 02:03:50,960
Speaker 1: we've had this awful hunt this morning. We're like, okay,

2065
02:03:51,000 --> 02:03:52,960
Speaker 1: we gotta get the hell out of here, Like we

2066
02:03:53,040 --> 02:03:56,040
Speaker 1: gotta get somewhere else that isn't a cloud hanging over

2067
02:03:57,760 --> 02:04:01,880
Speaker 1: And so we left him. He said, man, truth or consequences, Yeah,

2068
02:04:01,960 --> 02:04:08,000
Speaker 1: there you go, dude. But and so we we had

2069
02:04:08,040 --> 02:04:10,560
Speaker 1: told our truth and we thought we had you know,

2070
02:04:11,040 --> 02:04:14,000
Speaker 1: that was our consequence. But little dude, we know the

2071
02:04:14,120 --> 02:04:17,560
Speaker 1: suffering was yet to come and the desert itself was

2072
02:04:17,600 --> 02:04:20,800
Speaker 1: going to give us our real consequences. Yeah, like that

2073
02:04:21,040 --> 02:04:23,080
Speaker 1: was only our drama was just getting I feel like

2074
02:04:23,160 --> 02:04:27,880
Speaker 1: I'm reading a Larry McMurtry, which I don't remember where

2075
02:04:27,960 --> 02:04:31,400
Speaker 1: this lands in the Lonesome Dove series, but man, so

2076
02:04:32,120 --> 02:04:35,280
Speaker 1: I know that, dude, Yeah, I know that think and feeling. Um,

2077
02:04:37,000 --> 02:04:40,000
Speaker 1: it's the worst. It was like, you know what it is, man,

2078
02:04:41,280 --> 02:04:44,680
Speaker 1: There's like a moral component exactly makes it like if

2079
02:04:44,760 --> 02:04:47,800
Speaker 1: someone if if you drive, let's say you're in a

2080
02:04:47,880 --> 02:04:50,800
Speaker 1: seventy mile hour zone and you'd go buy eighty five

2081
02:04:51,640 --> 02:04:54,080
Speaker 1: in a in a police car pulls out with the

2082
02:04:54,200 --> 02:04:58,720
Speaker 1: lights on, you are like damn it. But it's not

2083
02:04:58,800 --> 02:05:02,520
Speaker 1: like a morally sickening feeling. Right, It's like you just

2084
02:05:02,600 --> 02:05:05,200
Speaker 1: wish you weren't going fast, right, It's not like a

2085
02:05:05,440 --> 02:05:10,360
Speaker 1: judgment has been made on your soul. Yeah, you're ashamed

2086
02:05:10,400 --> 02:05:13,240
Speaker 1: of yourself. Oh my god. Yeah. When cal just wrote

2087
02:05:13,320 --> 02:05:15,280
Speaker 1: that to me, like honesty is the best policy and

2088
02:05:15,320 --> 02:05:18,400
Speaker 1: turn yourself and I just felt like a little kid,

2089
02:05:18,760 --> 02:05:22,640
Speaker 1: like being sent to the principal's office, like not wanting

2090
02:05:22,680 --> 02:05:24,920
Speaker 1: to go. I was just like, I wish you didn't

2091
02:05:24,960 --> 02:05:27,360
Speaker 1: tell me that, you know, like I wish you just said, oh,

2092
02:05:27,560 --> 02:05:33,000
Speaker 1: that's okay, can here something. I don't know exactly, but

2093
02:05:33,600 --> 02:05:36,800
Speaker 1: but I will say that when Sean made that call,

2094
02:05:37,320 --> 02:05:40,320
Speaker 1: like before we even knew what the consequences would or

2095
02:05:40,320 --> 02:05:42,160
Speaker 1: would not be, because we had to wait for a

2096
02:05:42,240 --> 02:05:45,080
Speaker 1: call back, But when he made that call, regardless of

2097
02:05:45,200 --> 02:05:47,640
Speaker 1: whether we're all going to go be behind bars, we

2098
02:05:47,760 --> 02:05:51,280
Speaker 1: all felt a hundred times better just from making it.

2099
02:05:51,360 --> 02:05:54,080
Speaker 1: And that was neat to me because I was dreading

2100
02:05:54,280 --> 02:05:56,840
Speaker 1: that moment. I was absolutely that now we're going to

2101
02:05:56,920 --> 02:06:00,400
Speaker 1: say it out loud, and this sickening feeling of shame

2102
02:06:00,640 --> 02:06:02,920
Speaker 1: that I am feeling is going to be all the

2103
02:06:03,000 --> 02:06:05,920
Speaker 1: more real. It was the opposite. When you made that call,

2104
02:06:06,120 --> 02:06:08,440
Speaker 1: I just felt every part of us lightly and just

2105
02:06:08,600 --> 02:06:11,480
Speaker 1: to know that, Okay, no matter what, we're not holding

2106
02:06:11,560 --> 02:06:13,720
Speaker 1: this thing, and we're not holding it in the dark,

2107
02:06:13,800 --> 02:06:17,160
Speaker 1: which is like the intuitive thing I think too. You know,

2108
02:06:17,720 --> 02:06:20,680
Speaker 1: as a human to feel when you screw up is

2109
02:06:20,760 --> 02:06:26,280
Speaker 1: to feel like hiding and and honesty is the best policy.

2110
02:06:26,360 --> 02:06:29,360
Speaker 1: In the minute that you made that call, even though

2111
02:06:29,360 --> 02:06:31,640
Speaker 1: I didn't know what's going to happen, we all felt

2112
02:06:31,720 --> 02:06:35,800
Speaker 1: a lot better. Yeah, and we you know, in the moment,

2113
02:06:36,040 --> 02:06:40,840
Speaker 1: we thought like, after having talked to him, we kind

2114
02:06:40,880 --> 02:06:45,680
Speaker 1: of thought the consequences, at least legally like weren't there.

2115
02:06:46,840 --> 02:06:49,960
Speaker 1: We still saw it as like consequences from a production

2116
02:06:50,080 --> 02:06:51,640
Speaker 1: standpoint of how the hell are we going to get

2117
02:06:51,640 --> 02:06:54,600
Speaker 1: an episode? Like, but now it's like, it feels like

2118
02:06:54,840 --> 02:06:58,800
Speaker 1: the consequences aren't so dire now after talking to him,

2119
02:06:59,560 --> 02:07:02,600
Speaker 1: and then it's like, hold on the Desert does have

2120
02:07:03,080 --> 02:07:05,840
Speaker 1: some consequences for you, Like, you guys aren't getting away

2121
02:07:06,240 --> 02:07:10,440
Speaker 1: that I told that damn story in it bratslor. You

2122
02:07:10,520 --> 02:07:15,880
Speaker 1: wanna talk about a tender story, that tough story, I

2123
02:07:15,960 --> 02:07:21,280
Speaker 1: can't tell it's tougher tender. And so the next morning

2124
02:07:21,480 --> 02:07:23,480
Speaker 1: take a core out of that story. Next morning we

2125
02:07:23,600 --> 02:07:26,880
Speaker 1: kill some ducks at a new place. Yeah. So the

2126
02:07:27,000 --> 02:07:29,960
Speaker 1: next morning we go to a new place and it

2127
02:07:30,160 --> 02:07:35,560
Speaker 1: wasn't your seasoned duck hunt. Yep, by this why she's

2128
02:07:35,560 --> 02:07:39,680
Speaker 1: calling them blind? Yeah yeah, yeah, yeah, always before it's

2129
02:07:39,720 --> 02:07:42,320
Speaker 1: to me. But we go to this other spot and

2130
02:07:42,680 --> 02:07:45,880
Speaker 1: you know, there was some action, which was way better

2131
02:07:45,960 --> 02:07:48,320
Speaker 1: than not seeing a single duck the day before. But

2132
02:07:48,480 --> 02:07:52,720
Speaker 1: I will say I could not shoot to save my life.

2133
02:07:52,800 --> 02:07:56,520
Speaker 1: And I think it's because I had so much hesitation

2134
02:07:56,720 --> 02:08:00,760
Speaker 1: now over pulling that trigger, because I had gotten into

2135
02:08:00,880 --> 02:08:03,040
Speaker 1: my groove like in a couple of days before, and

2136
02:08:03,120 --> 02:08:06,920
Speaker 1: I had had this amazing experience and whatever, and then

2137
02:08:07,160 --> 02:08:10,760
Speaker 1: that whole thing just got like no, actually you didn't.

2138
02:08:11,040 --> 02:08:13,560
Speaker 1: You were just messing up, and you really screwed up

2139
02:08:13,640 --> 02:08:17,360
Speaker 1: and you did something bad. And so it's crazy the

2140
02:08:17,440 --> 02:08:21,080
Speaker 1: next day trying to pull trigger, like I was hesitating

2141
02:08:21,600 --> 02:08:26,360
Speaker 1: like crazy, and I was screwing up everything. Um, and

2142
02:08:26,440 --> 02:08:29,760
Speaker 1: Sean wasn't shooting good either, Like we both were just sucking.

2143
02:08:30,840 --> 02:08:33,760
Speaker 1: I got one one bird. If this hadn't been if

2144
02:08:33,760 --> 02:08:35,760
Speaker 1: you guys weren't filming this, this feels like this would

2145
02:08:35,760 --> 02:08:37,240
Speaker 1: have been the time when you just go, look, we

2146
02:08:37,320 --> 02:08:39,360
Speaker 1: just gotta call it like this is man like, we

2147
02:08:39,920 --> 02:08:41,760
Speaker 1: like it's best that we just shut this thing down

2148
02:08:41,800 --> 02:08:44,600
Speaker 1: and walk away. And I've said it a ton of

2149
02:08:44,680 --> 02:08:48,240
Speaker 1: time since then, Um, just talking about this hunt and

2150
02:08:48,280 --> 02:08:54,240
Speaker 1: talking about Kimmy, is that hunt and this whole experience

2151
02:08:54,400 --> 02:08:56,960
Speaker 1: put me through the wringer. And I've been through some

2152
02:08:57,080 --> 02:09:01,280
Speaker 1: tough waterfowl hunts and some stuff where it's like mm hm,

2153
02:09:01,840 --> 02:09:04,360
Speaker 1: this makes you not want to do it quite so bad.

2154
02:09:05,080 --> 02:09:08,440
Speaker 1: And then to put a camera crew through it, and

2155
02:09:08,520 --> 02:09:11,480
Speaker 1: to put a brand new duck hunter through it, and

2156
02:09:11,720 --> 02:09:14,960
Speaker 1: Kimmy kept sticking it out, and you know, that morning

2157
02:09:15,000 --> 02:09:18,520
Speaker 1: we had shot some ducks, and then that that afternoon

2158
02:09:18,640 --> 02:09:20,680
Speaker 1: we go scout and we're still kind of playing with

2159
02:09:20,840 --> 02:09:23,280
Speaker 1: like how many days left we even have to produce

2160
02:09:23,400 --> 02:09:26,520
Speaker 1: something here, and we're like, okay, the next day, so

2161
02:09:26,680 --> 02:09:29,640
Speaker 1: what would now be our second day at this new spot,

2162
02:09:29,960 --> 02:09:33,720
Speaker 1: We're like, we have to hunt all day because we gotta, like,

2163
02:09:33,880 --> 02:09:38,320
Speaker 1: we gotta get something going on here. And that's like

2164
02:09:38,480 --> 02:09:41,160
Speaker 1: a after how many days we've been there at this point.

2165
02:09:41,200 --> 02:09:44,160
Speaker 1: We've been there for six days at that point. Really

2166
02:09:44,240 --> 02:09:47,400
Speaker 1: really sorry, that's a hard proposition, you know, it's a

2167
02:09:47,480 --> 02:09:50,080
Speaker 1: hard like it's hard on everybody when you're like, okay,

2168
02:09:50,320 --> 02:09:53,400
Speaker 1: three am, wake up call tomorrow and we're hunting till dark.

2169
02:09:54,440 --> 02:09:58,600
Speaker 1: And but that's what we did, and we didn't shoot

2170
02:09:58,960 --> 02:10:02,440
Speaker 1: eight damn duck. No. We didn't see a single duck though,

2171
02:10:02,800 --> 02:10:07,320
Speaker 1: And we're in the same lake, different side. We're on

2172
02:10:07,400 --> 02:10:09,480
Speaker 1: the west side now instead of the east on this

2173
02:10:09,640 --> 02:10:13,280
Speaker 1: new body of water, and uh, yeah, so you can

2174
02:10:13,360 --> 02:10:15,000
Speaker 1: hunt the west side of this new body of water.

2175
02:10:15,480 --> 02:10:18,400
Speaker 1: And we're on the west side hunting and we don't

2176
02:10:18,400 --> 02:10:22,280
Speaker 1: see a thing, don't have it even a prayer when

2177
02:10:22,320 --> 02:10:25,280
Speaker 1: we sit all day, and some like fishermen come screw

2178
02:10:25,400 --> 02:10:27,920
Speaker 1: us up a little bit and like some guys are

2179
02:10:28,040 --> 02:10:33,280
Speaker 1: setting fishing hundred yards from our decoys set and we're

2180
02:10:33,360 --> 02:10:36,400
Speaker 1: just like, they're like, I don't know what they're doing here.

2181
02:10:36,440 --> 02:10:40,120
Speaker 1: There's no catch or break. And at this point we

2182
02:10:40,200 --> 02:10:43,040
Speaker 1: do know that we only have one day left of hunting.

2183
02:10:43,640 --> 02:10:46,120
Speaker 1: One morning that was a really junk day because we

2184
02:10:46,200 --> 02:10:48,320
Speaker 1: only had one morning left and we just spent a

2185
02:10:48,520 --> 02:10:53,960
Speaker 1: whole day and all of our energy for nothing, just zero. Yeah.

2186
02:10:54,440 --> 02:10:57,440
Speaker 1: So we pack up that day after a long, hard

2187
02:10:57,520 --> 02:11:01,760
Speaker 1: day of saying nothing, and we're on our first trip across,

2188
02:11:02,320 --> 02:11:05,120
Speaker 1: headed back to the boat ramp and that fuel tank

2189
02:11:05,240 --> 02:11:08,920
Speaker 1: runs out, which is like nothing abnormal. You know, you

2190
02:11:09,040 --> 02:11:13,240
Speaker 1: have to fuel tanks and go to switch tanks and

2191
02:11:14,240 --> 02:11:20,000
Speaker 1: the boat and start like, for whatever reason, I kept

2192
02:11:20,040 --> 02:11:23,200
Speaker 1: saying that it's flooded. It has to be flooded. Somebody

2193
02:11:23,240 --> 02:11:25,520
Speaker 1: squeeze the ball too much, you know, like it has

2194
02:11:25,600 --> 02:11:27,480
Speaker 1: to be because it was right when we switched the

2195
02:11:27,520 --> 02:11:29,800
Speaker 1: gas tank. It would just have to be a fuel thing.

2196
02:11:30,440 --> 02:11:34,440
Speaker 1: And there must have been something like a slow drain

2197
02:11:34,720 --> 02:11:36,960
Speaker 1: on that battery or whatever the heck. It was like

2198
02:11:37,080 --> 02:11:43,120
Speaker 1: that sucker wouldn't start, and the wind switches and pushes

2199
02:11:43,280 --> 02:11:45,440
Speaker 1: us all the way across the lake to the opposite

2200
02:11:45,560 --> 02:11:47,920
Speaker 1: end where from where the boat ramp is. It's dark,

2201
02:11:48,120 --> 02:11:51,280
Speaker 1: like it's blackout where it's now black. We realize it's

2202
02:11:51,320 --> 02:11:53,320
Speaker 1: not a fuel problem. It's a dead battery. We don't

2203
02:11:53,360 --> 02:11:56,120
Speaker 1: have a spare battery. Were adrift on a cold lake

2204
02:11:56,400 --> 02:11:59,520
Speaker 1: and it's dark, and we're nine miles from a boat

2205
02:11:59,640 --> 02:12:05,960
Speaker 1: ramp um and no polls start on that thing. No, no, yeah,

2206
02:12:07,160 --> 02:12:10,720
Speaker 1: And uh so we land on the shore and and

2207
02:12:10,840 --> 02:12:13,840
Speaker 1: we get ahold, get ahold of the park ranger because

2208
02:12:14,160 --> 02:12:21,280
Speaker 1: we now know to call county dispatch again your favorite.

2209
02:12:23,320 --> 02:12:25,760
Speaker 1: They get a park ranger dispatch to come get us,

2210
02:12:26,280 --> 02:12:28,760
Speaker 1: and he calls me and he's like, hey, I'm gonna

2211
02:12:28,760 --> 02:12:31,680
Speaker 1: go grab my boat quick. I'll be right there, you know,

2212
02:12:31,800 --> 02:12:36,760
Speaker 1: give me a half hour. And he comes running across

2213
02:12:36,800 --> 02:12:38,480
Speaker 1: the lake and for whatever reason, it must have been

2214
02:12:39,600 --> 02:12:42,680
Speaker 1: like looking at a compass or who knows, like, I

2215
02:12:42,760 --> 02:12:44,520
Speaker 1: don't know what he was looking at. You don't know anything.

2216
02:12:44,600 --> 02:12:47,760
Speaker 1: We just saw a red light zooming across from the

2217
02:12:47,800 --> 02:12:51,440
Speaker 1: boat ramp going the wrong way, and then it looked

2218
02:12:51,480 --> 02:12:53,440
Speaker 1: like it was on land, so we're like, maybe that

2219
02:12:53,600 --> 02:12:58,000
Speaker 1: was a car. And he calls me after I don't

2220
02:12:58,040 --> 02:13:01,520
Speaker 1: know fifteen minutes and he's like, a I ran aground

2221
02:13:02,000 --> 02:13:05,400
Speaker 1: and I'm stuck stuck. He's like, and I'm like, well,

2222
02:13:05,480 --> 02:13:08,040
Speaker 1: if you know, if four of us walk over there

2223
02:13:08,040 --> 02:13:10,280
Speaker 1: and push the boat, like, can we get it unstuck.

2224
02:13:10,400 --> 02:13:13,280
Speaker 1: He's like, no, it's on it's on the shore. He's like,

2225
02:13:13,360 --> 02:13:15,840
Speaker 1: we're not even gonna worry about my boat tonight, but

2226
02:13:16,000 --> 02:13:18,920
Speaker 1: now I need to be rescued and then be rescued.

2227
02:13:19,160 --> 02:13:22,800
Speaker 1: He calls another park ranger from from turns out the

2228
02:13:22,880 --> 02:13:25,960
Speaker 1: place where we had already talked to the park rangers.

2229
02:13:27,360 --> 02:13:31,120
Speaker 1: By the time we get back to our new airbnb,

2230
02:13:31,480 --> 02:13:34,600
Speaker 1: like it's about I think it's like at least one

2231
02:13:34,640 --> 02:13:36,680
Speaker 1: thirty in the morning, and we have to wake up

2232
02:13:37,080 --> 02:13:38,840
Speaker 1: in an hour and a half in order to get

2233
02:13:38,880 --> 02:13:40,960
Speaker 1: back out there again. And like this is after a

2234
02:13:41,040 --> 02:13:43,760
Speaker 1: day of just being like beat down, like and I

2235
02:13:43,880 --> 02:13:47,160
Speaker 1: just remember telling myself like Okay, I'm gonna set my alarm,

2236
02:13:47,720 --> 02:13:50,680
Speaker 1: but if that alarm buzzes and my body says, hell no,

2237
02:13:51,200 --> 02:13:53,880
Speaker 1: I'm gonna listen and I'm gonna call it because it

2238
02:13:54,000 --> 02:13:56,400
Speaker 1: feels like everything and its power is trying to just

2239
02:13:56,600 --> 02:13:59,280
Speaker 1: like not make me a duck hunter. And I'm not

2240
02:13:59,360 --> 02:14:01,960
Speaker 1: gonna like do something stupid with a gun tomorrow because

2241
02:14:01,960 --> 02:14:04,560
Speaker 1: I'm too tired, and you know, it's just thinking all

2242
02:14:04,600 --> 02:14:06,320
Speaker 1: these things. And instead I woke up like half an

2243
02:14:06,360 --> 02:14:08,920
Speaker 1: hour early, came out to the living room Shawns. They're

2244
02:14:08,960 --> 02:14:11,640
Speaker 1: all dressed up waiting, the boys jump in and it's

2245
02:14:11,680 --> 02:14:14,560
Speaker 1: like we all just like went out for this next day.

2246
02:14:14,960 --> 02:14:16,760
Speaker 1: And I remember that whole drive, we kept saying, like,

2247
02:14:17,120 --> 02:14:19,160
Speaker 1: I know we're going to hit a wall, like we're

2248
02:14:19,240 --> 02:14:21,640
Speaker 1: so tired, but we don't feel it. We're just jacked

2249
02:14:21,720 --> 02:14:24,600
Speaker 1: up off of absolute catastrophe at this point, you know,

2250
02:14:24,720 --> 02:14:27,920
Speaker 1: you get like a high and energy from it, and

2251
02:14:28,280 --> 02:14:29,920
Speaker 1: we're just like, we're gonna hit a wall sometime, but

2252
02:14:30,000 --> 02:14:32,560
Speaker 1: it's not now. Let's just keep going. And we got

2253
02:14:32,640 --> 02:14:35,040
Speaker 1: to the spot that day and for the first time

2254
02:14:35,200 --> 02:14:38,280
Speaker 1: in our whole whatever it was nine days there, the

2255
02:14:38,480 --> 02:14:41,959
Speaker 1: weather forecast was right, the wind was in the right direction.

2256
02:14:42,640 --> 02:14:46,240
Speaker 1: Like everything you started feeling good. The decoys looked great,

2257
02:14:46,520 --> 02:14:49,440
Speaker 1: and before the sun was even up, there were ducks

2258
02:14:49,840 --> 02:14:53,280
Speaker 1: landing in them and everything, like the momentum just started

2259
02:14:53,320 --> 02:14:56,360
Speaker 1: getting better and better. And we never hit a wall.

2260
02:14:56,720 --> 02:15:00,320
Speaker 1: We just like we started doing things with this flow

2261
02:15:00,480 --> 02:15:04,880
Speaker 1: and this sense of purpose because we had been through

2262
02:15:04,960 --> 02:15:08,680
Speaker 1: the wringer. We survived it together. Not one single person

2263
02:15:08,800 --> 02:15:12,400
Speaker 1: complained this was our last day and we just knew,

2264
02:15:12,720 --> 02:15:16,280
Speaker 1: like it is go time. It was and it was

2265
02:15:17,480 --> 02:15:20,080
Speaker 1: do it now or don't do it all. There was

2266
02:15:20,200 --> 02:15:22,600
Speaker 1: something really surreal about showing back up to that lake

2267
02:15:22,640 --> 02:15:24,920
Speaker 1: when we had just been there a few hours before,

2268
02:15:25,160 --> 02:15:27,120
Speaker 1: you know, a drift with the moon up, and but

2269
02:15:27,280 --> 02:15:29,400
Speaker 1: it was neat. It was like I felt like we

2270
02:15:29,560 --> 02:15:32,320
Speaker 1: finally earned our place. There is what I felt like.

2271
02:15:32,440 --> 02:15:34,320
Speaker 1: To me. It's like, okay, I know this place. I

2272
02:15:34,480 --> 02:15:37,040
Speaker 1: was just curled up trying to sleep in these blind

2273
02:15:37,120 --> 02:15:42,040
Speaker 1: covers here, you know, and let's do this. And the

2274
02:15:42,160 --> 02:15:45,440
Speaker 1: birds came in and and it was a great day.

2275
02:15:46,280 --> 02:15:51,240
Speaker 1: They didn't stop coming. The religion. We're just there and

2276
02:15:51,600 --> 02:15:53,760
Speaker 1: I mean we've been seeing them there, right, we knew

2277
02:15:53,840 --> 02:15:55,920
Speaker 1: they were there, but just getting on them was the

2278
02:15:56,000 --> 02:15:59,040
Speaker 1: trick and we you know, it kind of got into

2279
02:15:59,120 --> 02:16:01,200
Speaker 1: one of those like spot out on a spot moments

2280
02:16:01,680 --> 02:16:05,600
Speaker 1: of where this is where you got to be and

2281
02:16:06,000 --> 02:16:11,720
Speaker 1: we were on it, and we went from thinking we

2282
02:16:11,760 --> 02:16:14,200
Speaker 1: would never get an episode out of this and that

2283
02:16:16,360 --> 02:16:21,520
Speaker 1: I had lost any capability as a producer to like

2284
02:16:22,040 --> 02:16:26,760
Speaker 1: we put like, we put our nose down and got

2285
02:16:26,800 --> 02:16:31,400
Speaker 1: it done and Kimmy shot great. I shot great, like

2286
02:16:31,720 --> 02:16:35,800
Speaker 1: Widgeon perfectly fluttering in the sun over the decoys. After

2287
02:16:35,879 --> 02:16:38,200
Speaker 1: we shot our limits, ages still were coming like it

2288
02:16:38,440 --> 02:16:41,640
Speaker 1: was just it was a good day all over again.

2289
02:16:42,280 --> 02:16:46,320
Speaker 1: But um, but one that it really felt like we

2290
02:16:46,400 --> 02:16:47,800
Speaker 1: had to cut. We can't de terms with it. We

2291
02:16:47,879 --> 02:16:52,160
Speaker 1: earned it, you know. It wasn't unlike the Island feeling

2292
02:16:52,560 --> 02:16:56,000
Speaker 1: too good to be true like now. It was like, boy,

2293
02:16:56,120 --> 02:17:02,520
Speaker 1: we worked for this one introspections ms Ree got humbled exactly,

2294
02:17:03,000 --> 02:17:07,600
Speaker 1: and we got a duck hunting story that I don't

2295
02:17:07,680 --> 02:17:11,880
Speaker 1: want to experience again, but I will never forget. I

2296
02:17:11,959 --> 02:17:17,200
Speaker 1: mean you couldn't. Yeah, you gotta everybody's like bad thing

2297
02:17:17,280 --> 02:17:20,200
Speaker 1: of the season and one night. Yeah, yeah, this is

2298
02:17:20,280 --> 02:17:22,080
Speaker 1: like more than a duck hunting story, man, this is

2299
02:17:22,160 --> 02:17:24,280
Speaker 1: like a fable that we're gonna have to tell some

2300
02:17:24,520 --> 02:17:26,880
Speaker 1: people learned lifeless to go down to the town council.

2301
02:17:28,240 --> 02:17:30,920
Speaker 1: I think we should keep truth or consequence, right, We

2302
02:17:31,040 --> 02:17:34,280
Speaker 1: just need to change why you got to up? You

2303
02:17:34,320 --> 02:17:40,160
Speaker 1: guys got any we can carve exactly? Well? Glad he

2304
02:17:40,240 --> 02:17:48,400
Speaker 1: came out of it. Yeah, good lord, Marks, But when did?

2305
02:17:48,640 --> 02:17:50,880
Speaker 1: When did the adrenaline wear off? And you guys definitely

2306
02:17:50,959 --> 02:17:53,240
Speaker 1: all hit a wall because you know that, But for me,

2307
02:17:53,360 --> 02:17:56,840
Speaker 1: it didn't like I finally got my duck hunting dream back,

2308
02:17:57,240 --> 02:18:01,240
Speaker 1: like after struggling and suffering. And there's something about suffering

2309
02:18:01,760 --> 02:18:04,160
Speaker 1: that will make you appreciate that dream so much more.

2310
02:18:04,320 --> 02:18:07,600
Speaker 1: And and we were done duck hunting. And then and

2311
02:18:07,680 --> 02:18:10,039
Speaker 1: then Sean and I were just like, now let's drive

2312
02:18:10,080 --> 02:18:11,840
Speaker 1: to hatch and go get some green chilies. Like we

2313
02:18:11,959 --> 02:18:16,240
Speaker 1: were just we were on a high. Yeah you know, Sean,

2314
02:18:16,280 --> 02:18:20,080
Speaker 1: I spend night in jail, did you do? Tell I

2315
02:18:20,160 --> 02:18:21,600
Speaker 1: haven't gone. I'll tell you a part of it. I'll

2316
02:18:21,600 --> 02:18:23,080
Speaker 1: tell you the whole story Sunday, I'll tell you part

2317
02:18:23,080 --> 02:18:25,560
Speaker 1: of it. I had. We bought a bottle of mad Dog.

2318
02:18:27,000 --> 02:18:30,880
Speaker 1: All great stories. My buddy Fits, I don't remember this,

2319
02:18:31,000 --> 02:18:33,280
Speaker 1: my buddy Fits says, I was drinking that mad dog

2320
02:18:34,000 --> 02:18:36,039
Speaker 1: and said, I'll be out of control in about forty

2321
02:18:36,120 --> 02:18:43,200
Speaker 1: five minutes. He said that's about one. God, he said,

2322
02:18:43,200 --> 02:18:45,320
Speaker 1: its about forty five minutes later you drop off in

2323
02:18:45,360 --> 02:18:54,800
Speaker 1: a police car. We're youngsters. Everybody ended on a cautionary tale.

2324
02:18:56,440 --> 02:18:59,120
Speaker 1: No where you're hunting. You know, Sean, you have a

2325
02:18:59,160 --> 02:19:03,240
Speaker 1: duck report coming up about influenza. Yep, tease it titilated.

2326
02:19:04,520 --> 02:19:09,240
Speaker 1: We are seeing an unprecedented outbreak in avian influenza that's

2327
02:19:09,320 --> 02:19:13,440
Speaker 1: never been seen in North America, nothing even close, um,

2328
02:19:14,320 --> 02:19:17,920
Speaker 1: and it's actually poured over from poultry back into wild birds.

2329
02:19:18,760 --> 02:19:20,720
Speaker 1: And it's something to be worried about. Stay tuned for

2330
02:19:20,760 --> 02:19:22,520
Speaker 1: that ship, ladies and gentlemen. We gotta get him on

2331
02:19:22,600 --> 02:19:24,840
Speaker 1: soon to tell that Krin. Make a note your notebook

2332
02:19:24,840 --> 02:19:30,880
Speaker 1: about that. Alright, guys, Sean Weaver, Kevin Glaspie, Kimmy Werner,

2333
02:19:32,280 --> 02:19:34,960
Speaker 1: we're gonna kick your asses and trivia. Thanks everyone,