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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 Hunt podcast.

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Speaker 1: You can't predict anything presented by on X. Hunt creators

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Speaker 1: are the most comprehensive digital mapping system for hunters. Download

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Speaker 1: the Hunt app from the iTunes or Google play store.

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Speaker 1: Nor where you stand with on X and then I

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Speaker 1: probably want to be like within a foot over bottom

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Speaker 1: and then when you feel it you just kind of

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Speaker 1: like jerk it up and then pull it in, or

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Speaker 1: you want to do like an exaggerated setting motion. The

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Speaker 1: rods always this short. Yeah, that's a normal. When Steve

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Speaker 1: as over there is the custom long day And what's

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Speaker 1: the logic about the really short rod? Because you're fishing

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Speaker 1: such close quarters? You know, long rod, you had to

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Speaker 1: be ten feetback, you know. There you go, drop it

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Speaker 1: down a little, there you go, leave it, don't move it,

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Speaker 1: don't move it. Oh you scared him? Hey him? Hit him?

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Speaker 1: Hit him? Whilere you aiming that up at the sky,

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Speaker 1: they lift him up gran closer to your face. First

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Speaker 1: tish through the ice, mm hmm, first time on the ice.

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Speaker 1: How about ever, have you fished before? You all set

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Speaker 1: up Phil for us inside everybody welcome. We are in

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Speaker 1: a giant. Oh get Jimmy, Yes, Jimmy, Yeah, in a

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Speaker 1: giant ask him o ice shanty fishing. The bite is

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Speaker 1: on and off. This thing is uh, this shanty is

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Speaker 1: bigger than our podcast studio. It's called the fat Fish.

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Speaker 1: It's got like what else, It's like the fat fish something.

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Speaker 1: I just saw the fat Fish. It's a nine person shanty.

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Speaker 1: Nine but we're fishing one. We're fishing and that's why

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Speaker 1: you need to bring a little mini gas at the hole.

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Speaker 1: About that like soup ladle thing you used to scoop

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Speaker 1: the ice out of the holes, the soup ladle. That

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Speaker 1: the skimmer, the skimmer. If you you must eat some

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Speaker 1: thick ass soups. If you sup with a skimmer, if

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Speaker 1: you scoop sup with a skimmer, the bite is on

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Speaker 1: and off. We got some We got some cameras down.

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Speaker 1: We got a camera down that looks so good. It's like, uh,

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Speaker 1: what the Markham quest HD. It's like why I feel

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Speaker 1: like we're like you could watch the super Bowl on

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Speaker 1: this thing, like right now we're watching uh Bluegill, give

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Speaker 1: my my little boy at the stair down here. He

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Speaker 1: calls Jimmy he's just looking at it. Yeah, better than

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Speaker 1: the podcast studio. Here we are nine person shanny um,

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Speaker 1: we're talking a spencer explained. The main thing we're gonna do,

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Speaker 1: like explain what the um explain. The fact Checker series

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Speaker 1: Less it was on the podcast I should call it

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Speaker 1: the ball Buster. That might be confused people. You get

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Speaker 1: a whole you get a whole different sort of go ahead. Less.

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Speaker 1: It was on the podcast we covered some of the

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Speaker 1: recent fact checkers that I had written, like should you

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Speaker 1: drink you're in in a survival situation? The answer is no,

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Speaker 1: our daddy long legs. So yeah, it was like the

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Speaker 1: whole Bear Grylls his entire careers based off of false No.

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Speaker 1: Another one we talked about, um, our daddy long legs,

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Speaker 1: go ahead, sorry, our daddy long legs the most venomy

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Speaker 1: spider in the world. Uh, the answer is no. And

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Speaker 1: there's a whole bunch of things wrong with that statement.

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Speaker 1: You can go back and listen to that episode with

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Speaker 1: Danielle and I for you want to hear more about those.

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Speaker 1: So so those are similar things we cover in the

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Speaker 1: fact Checker series. Can I ask the fact checker question, uh,

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Speaker 1: do you do you do you like what if the fact,

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Speaker 1: what if you're like, yes, in fact it's true, do

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Speaker 1: you get less interested in it? No? No, because one

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Speaker 1: of the ones, like the ones where it's wrong, I

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Speaker 1: like that. Um. I think within the series, I've only

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Speaker 1: had a handful that are true. One of them was

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Speaker 1: one that You're best buddy and amateur story and he missed,

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Speaker 1: come on, but you're watching ahead. Sorry. But one of

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Speaker 1: the true ones that we recently covered, uh, was one

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Speaker 1: that Joe Rogan loves to repeat, and that's that during

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Speaker 1: World War One, they had to have a ceasefire to

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Speaker 1: like beat down the wolves that were moving in on him.

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Speaker 1: And yeah, and that's like a legit story. That one

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Speaker 1: was true. In nineteen seventeen, there were a bunch of

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Speaker 1: newspapers like the Passo Harald, the New York Times, the

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Speaker 1: Oklahoma City Times. I think those are the three places

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Speaker 1: that already reported on this. This dispatch came out of

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Speaker 1: Berlin talking about how, uh, the war that was fought

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Speaker 1: in like these rural areas had displaced large packs of

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Speaker 1: wolves and heading them moving into uh, like these small

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Speaker 1: villages and stuff, and they were taking down a bunch

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Speaker 1: of goats and cattle and in two inst children. They

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Speaker 1: killed children. The wolves also ended up like just going

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Speaker 1: to the front lines and eating on wounded fighters, and

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Speaker 1: it was all true. Historians estimates that they killed hundreds

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Speaker 1: of wolves during this time, that they even took a

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Speaker 1: break from shooting at each other to kill wolves. They

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Speaker 1: deciding on wounded people, they decided to have a ceasefire

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Speaker 1: if this were to happen, and it did happen. Um,

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Speaker 1: it's hard to focus talking to someone who's catching so

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Speaker 1: many finished a little bit, a little bit. It was

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Speaker 1: so bad that they described the wolves as a plague,

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Speaker 1: and in that one that's true. It's hard to believe,

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Speaker 1: but that one happens. So some fact checkers are in

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Speaker 1: the like European wolves are like sort of a different

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Speaker 1: kind of groove man, because like in Romania, you get like,

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Speaker 1: you know, they're they're more inclined. Uh, European look at this.

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Speaker 1: They're they're more inclined to Uh. It's very hard to

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Speaker 1: do this. Uh, it's very hard to host while you're well,

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Speaker 1: I almost need to put down my rock another one, dude,

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Speaker 1: I'm just like on fire. European wolves are more inclined

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Speaker 1: to bite folks. One of the courts from the ninet

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Speaker 1: seventeen New York Times. Articles said poison, rifle, fire, hand grenade,

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Speaker 1: and even machine guns were successively tried in attempt to

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Speaker 1: eradicate the nuisance. Why in the world when you're fighting

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Speaker 1: a fish, do you know what a rod is supposed

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Speaker 1: to do? Yeah? You did, But I'm doing I'm doing

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Speaker 1: this Like, Okay, it's customary when fishing to not point

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Speaker 1: the rod directly at the sky you're shooting for a

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Speaker 1: sort of like you want to think of your shooting

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Speaker 1: sort of a ninety degree angle between the the Yeah, yep,

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Speaker 1: I see what you're doing. You're you're moving it so

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Speaker 1: that you're rod. Is someone who's got the vocabulary to

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Speaker 1: explain what you can explain what I'm doing. So like

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Speaker 1: instead of moving the rod vertically up exactly, I am

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Speaker 1: like whipping my wrist back so that the rod is

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Speaker 1: like at a What is this? Do you a long

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Speaker 1: particular to the ground. I have never seen one. I've

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Speaker 1: never seen someone do that. I take that as a compliment. Uh,

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Speaker 1: maybe I feel like you're enough guiding Steve, Tell give

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Speaker 1: me more. What all fact checkers should we discuss? So

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Speaker 1: you said, these European wolves like to bite a bunch

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Speaker 1: of the New York Times articles. The wolves nowhere to

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Speaker 1: be found quite so large and powerful as in Russia,

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Speaker 1: were desperate in their hunger and regardless of danger. So

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Speaker 1: it agrees with you there like that that this displacement

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Speaker 1: and all this warfare had driven him to dire measures. Ye,

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Speaker 1: and uh, then the two side it's had two dire

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Speaker 1: measures and started fighting the wolves instead of each other.

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Speaker 1: So what got you interested in that? Fact checker was Rogan? Yeah,

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Speaker 1: he repeated it, and like, I surely hope this is

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Speaker 1: true because that's a large audience that's hearing that. Oh,

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Speaker 1: just let me perch in the house, just nailing him.

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Speaker 1: You know, he's tearing up. You want to keep that one,

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Speaker 1: but you want to keep this one. Uh. Comp things

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Speaker 1: we're gonna talking about. I got I got some like comments,

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Speaker 1: um and I tried to keep them mostly uh, ICE related.

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Speaker 1: You'll watch it's it's you're gonna see some elastic you

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Speaker 1: gonna see some hosting, some very flexible hosting. UM one,

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Speaker 1: I just can't figure out maybe something canna help me

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Speaker 1: how to make it seem relevant to to the Ice

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Speaker 1: one is, Uh, this is what I need help on.

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Speaker 1: We're talking ear today about ethanol and gas and what

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Speaker 1: it does like boat motors and whatnot. The I have

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Speaker 1: some steel chainsaws wrote in with some clarifications like why

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Speaker 1: you don't you see uh when you go to a

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Speaker 1: gas station you see like the big signs ethanol free

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Speaker 1: or low ethanol and all that. And we're talking about

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Speaker 1: what degrees that old like to do, you know, like

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Speaker 1: old engines didn't like ethanol, but modern engine supposed the tolerant.

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Speaker 1: The guys with steel chainsaws were saying that um ethanol

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Speaker 1: can start breaking down and separating from fuel and as

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Speaker 1: little as one week. They're saying that when running machines

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Speaker 1: for extended periods of time, you can use the E

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Speaker 1: ten fuel with the right oil mixture because the ethanol

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Speaker 1: doesn't have time to break down. He's talking about like

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Speaker 1: your vehicle, like you you run through vehicle gas and

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Speaker 1: your vehicle quick enough where it's just not you know,

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Speaker 1: not lingering. But he said the number one problem with

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Speaker 1: small equipment seems to be fouling from ethanol. When it

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Speaker 1: breaks down, it can come up the carbon fuel system

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Speaker 1: and break down the rubber hoses. They say, if you're

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Speaker 1: using ethanol fuel, they recommend you run the fuel all

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Speaker 1: the way to your engine before you store it for

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Speaker 1: an extended period of time. They say that either way.

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Speaker 1: For for equipment, they say that non ethanol fuels preferred,

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Speaker 1: and steel actually makes prey. He goes on to say this,

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Speaker 1: did uh. Steel makes pre mixed fuel with no ethanol

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Speaker 1: called modo mix, So they make like a pre mix

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Speaker 1: fuel and now a regular fuel with no ethanol called

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Speaker 1: modo mix, and is saying that when you buy these

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Speaker 1: cans of this stuff, it has a shelf life of

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Speaker 1: over ten years when unopened. Yeah. Nice, yes, think of that.

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Speaker 1: What are you doing? Yi? Looking up how to fish? First? One? Falmouth,

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Speaker 1: falmouth bass coming up? Big mouth billy, big mouth billy

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Speaker 1: coming up. It's fighting so hard that Miles's cameras rocking

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Speaker 1: back and forth. But I'm onto one. Oh, I think

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Speaker 1: you're stupid. Bass tangled. My rod feels like it. Oh,

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Speaker 1: they stripped me man, Miles. That's a long fight for him,

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Speaker 1: playing it very loose. Drag get them big mouth, it's

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Speaker 1: not that big giant. Don't make a nice fried fish sandwich. No,

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Speaker 1: we're not keeping that fish. It's why would we not

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Speaker 1: keep it? Please? Miles caught it his fish the side.

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Speaker 1: I don't need that fish if you want people like

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Speaker 1: catching those, Oh jimmy, people like catching those big bass

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Speaker 1: accidently and drop it. I don't understand why we would

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Speaker 1: let it go. Because here people want to come down.

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Speaker 1: There are very few limited numbers of perch and blue gills.

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Speaker 1: I'll keep. I promise, I will keep all the perch

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Speaker 1: and blue girl for you, buddy. I'm gonna let the basket. Uh.

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Speaker 1: You know, but people like to catch those things. You're

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Speaker 1: kind of in a local town pond here. You don't

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Speaker 1: want to You're in a local town pond. And yeah,

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Speaker 1: if you keep it, if you get you a lot

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Speaker 1: of five a day, bud, Uh, here's a good one.

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Speaker 1: Hold on, what do you get? It looks like you're

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Speaker 1: loading up a lot over there on your bait. You

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Speaker 1: know why, because I'm hosting, and when i'm hosting, I'm

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Speaker 1: not able to pay as much attention as i'd like,

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Speaker 1: and they keep stripping me. So I'm trying to find

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Speaker 1: some way that I can keep in the game and

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Speaker 1: their mind there, my worms. Anyway that you're trying something

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Speaker 1: over there that might help me catch some fish too. No,

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Speaker 1: I'm just trying to keep in the game when I

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Speaker 1: can be inattentive. Uh, how do you make that ice? Oh?

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Speaker 1: You know? I I don't know how to make it

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Speaker 1: ice applicable? You know, everything a little mess your engine

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Speaker 1: up because if you drop it through the water in

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Speaker 1: your field. No, yeah, you drop it into the ice

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Speaker 1: spencer saying that you drop Um, we're talking about who

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Speaker 1: dropped the most expensive thing down the whole. I saw

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Speaker 1: a lot of spuds go through. Not a lot, but

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Speaker 1: I've seen spuds go through. We one time dropped a

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Speaker 1: three thirty cond of bear down through a hole in

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Speaker 1: the ice trap beavers. But we were able to get

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Speaker 1: it back out with a long pole. But you lost

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Speaker 1: your range finder and put a range finder down one

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Speaker 1: I think like any good midwesterner, Uh, you seamlessly transition

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Speaker 1: from hunting season into fishing season, but not into skiing

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Speaker 1: season or something. You know, it goes into you go

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Speaker 1: into fishing season. So you're wearing like the same warm

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Speaker 1: bibbs that you were hunting with in December, and then

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Speaker 1: you go ice fishing in them forget your range finders

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Speaker 1: in your jacket. You lean over range finder down the hall.

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Speaker 1: That did you U? Did you make any attempt at retrieval. No,

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Speaker 1: I think it was like twenty some feet of water.

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Speaker 1: We're getting that one back. Uh. You know how we've

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Speaker 1: been covering this Ile Royal situation. So like Ile Royal

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Speaker 1: in my is a in my home state. It's an

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Speaker 1: island up in Lake Superior. It's kind of like at

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Speaker 1: a map, it looks like it's more like belonged to Ontario.

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Speaker 1: They got kind of screwed. It seems it's our it's mission,

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Speaker 1: it's America's island. Kind of looks like it should belong

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Speaker 1: to Ontario. Nice perch Nice perch. Ile Royal. We've talked.

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Speaker 1: You should go back and listen to the whole library episode.

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Speaker 1: So this thing is the Isle Rod is kind of

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Speaker 1: crazy where historically I'm not talking like way asks ago.

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Speaker 1: I mean in in in the modern era of the

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Speaker 1: United States, um Ile Royal in Lake Superior was a

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Speaker 1: Lynx Caribou island, which is kind of crazy to think about.

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Speaker 1: But over time of transition and stuff like comes and

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Speaker 1: goes across the ice and at some point in time

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Speaker 1: this is a little bit controversial, like how this happened.

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Speaker 1: Fish on Um at some point interupted. Just for a second,

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Speaker 1: I need some bait. Can you give me one of

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Speaker 1: those eyeballs? And we a lot of these eyeballs here

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Speaker 1: in Montana. Technically it's a game. You have to use

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Speaker 1: a sucker eyeball. All right, well, don't give me an eyeball,

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Speaker 1: and then I'll take one of the worms. So i'le Royal. Historically,

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Speaker 1: out Lake Superior, northern Michigan was had links and Caribean

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Speaker 1: it and at some point in time, and it's a

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Speaker 1: little bit like there's a little bit debate about how

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Speaker 1: this happened, but moose, uh probably the lake froze and

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Speaker 1: moose walked out and got on the island, and at

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Speaker 1: some point in time later, um, when the in the

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Speaker 1: winter when the ice is frozen, this island got colonized

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Speaker 1: by wolves, and people kind of really like fell in

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Speaker 1: love with this sort of moose wolf situation out there, um,

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Speaker 1: and it sort of became this thing where like I

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Speaker 1: was like, oh, it's so great, we have moose and

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Speaker 1: wolves out of Isle Royal, and it's all great and happy.

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Speaker 1: But over time you've had these kind of wild fluctuations,

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Speaker 1: and right now you have a diminishing wolf pack where

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Speaker 1: the existing wolf pack that was out there got down

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Speaker 1: to like two wolves. So someone had the great idea

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Speaker 1: of to increase the naturalness of this place, they would

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Speaker 1: just truck new wolves out there, and the truck new

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Speaker 1: wolves out there, and the first thing the new wolves

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Speaker 1: do is kill the two existing wolves that lived out there.

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Speaker 1: And they're still not getting the moose population under control.

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Speaker 1: So this this state represented named Stephen Johnson from Michigan's

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Speaker 1: our seventies two district. He's sponsoring some legislation in the

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Speaker 1: state um that's moving out of committee and passing through

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Speaker 1: the State House. That would be a resolution. So it's

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Speaker 1: basically a thing that opens a conversation where a resolution

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Speaker 1: suggesting that the National Park Service should be using hunting

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Speaker 1: to limit the wolves on Isle Royal, and some people

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Speaker 1: got all they're they're all worked out about this, but

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Speaker 1: he points out that this would be a thing that

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Speaker 1: the National Park Service has done this, They've used hunts

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Speaker 1: to control all their wildlife populations in the past. You

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Speaker 1: kind of have this a little bit of like aquarium

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Speaker 1: situation out there. I feel where um, you know, it's

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Speaker 1: just it's this small, almost like experimental little place, and

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Speaker 1: I think it's a great idea because everybody's talking about

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Speaker 1: there's too many wolves. They're eating themselves out of house

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Speaker 1: and home. People be happy to go hunt them there.

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Speaker 1: The wolf thing is not coming along right now. It

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Speaker 1: would be a quick solution to the problem. Some people

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Speaker 1: are freaked out there, Oh, they'll just wind up hunting

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Speaker 1: the wolves into extinction. But he points out that they

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Speaker 1: monitor these moves very closely and they can just decide

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Speaker 1: if their numbers get down, they can decide some year,

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Speaker 1: let's job buddy to issue zero permits at all. So

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Speaker 1: he's offered to come on the show sometime and talk

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Speaker 1: about this. So that we got an email from a

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Speaker 1: waterfowl researcher, So like a duck researcher who's doing work

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Speaker 1: on ducks in breeding. There are things and one of

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Speaker 1: the things they're looking at this kind of interesting is

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Speaker 1: it looking at the implications of what's called game farm mallards.

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Speaker 1: And up until a couple of years ago, I had

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Speaker 1: no idea there is such thing. But we were in

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Speaker 1: Chesapeake Bay. We're hunting seeking here, right, that's right, And

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Speaker 1: I was looking off this bridge just kind of like

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Speaker 1: a famous duck hunting area that we're in, and I'm

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Speaker 1: looking off this bridge and there's all these mallards that

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Speaker 1: like for being deering hunting season and in a heavily

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Speaker 1: hunted area, these mallards just kind of like sitting in

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Speaker 1: acting weird in a weird place. And I commented on it,

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Speaker 1: and a friend of mine was pointing out how those

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Speaker 1: are like game farm mallards, which people calm and they're like, man,

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Speaker 1: I want to get a duck. I don't care. And

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Speaker 1: so they raise these mallards up and let them go,

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Speaker 1: and people kind of pretend to hunt them. What's the

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Speaker 1: locals term they had a term for those ducks, remember,

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Speaker 1: is they just dummy ducks? Dummy ducks that might have

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Speaker 1: been at Yeah, I'd be like, if you're like you

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Speaker 1: kind of like the sounds of hunting, but you're not

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Speaker 1: actually any good at it, or you don't have patients,

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Speaker 1: what you do is you just go and have a

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Speaker 1: guy make dug would be like hunting. Let's say you

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Speaker 1: were hunting, you wanted to go hunt grouse, but you weren't.

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Speaker 1: You couldn't figure it out, so you just hunted chickens

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Speaker 1: instead of a farm yard. But in this case, they

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Speaker 1: raised ducks up and then the ducks kind of look

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Speaker 1: like a wild duck and then people pretend that they're

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Speaker 1: hunting them, in fact, they're just kind of shooting them.

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Speaker 1: So this guy is looking at like what does this

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Speaker 1: mean for wild duck populations? And they have all these

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Speaker 1: uh ducks from museum specimens. Um, they've got museum ducks

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Speaker 1: that they were able to do genetic work on to

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Speaker 1: go back to a hundred and fifty years ago, and

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Speaker 1: they're looking at a couple of things. When they're looking

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Speaker 1: at like, how what what is the relationship of black

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Speaker 1: ducks and mallards? And earlier they there was this earlier

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Speaker 1: work that suggested that black ducks with as we get

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Speaker 1: as more and more mallards came into new areas, that

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Speaker 1: it was making the black duck through hybridization. The black

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Speaker 1: duck was kind of vanishing and becoming a mallard through

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Speaker 1: like inbreeding or not inbranding, hybridization with mallards. And they're

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Speaker 1: found the contrary to that that's not actually true. But

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Speaker 1: the interesting thing is is these like fake duck farms,

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Speaker 1: the dummy duck farms, are in the Atlantic Flyway and

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Speaker 1: and looking at it, they find that these flyways are

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Speaker 1: actually like the Western Flyway. So they go in and

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Speaker 1: look at what were mallards like, you guys track what

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Speaker 1: I'm staying here. They're able to go, look like, what

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Speaker 1: were mallards like a hundred and fifty years ago? And

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Speaker 1: then what has happened since people started doing these game

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Speaker 1: farm mallards? And they found that in the western US

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Speaker 1: the mallards are the same as historical mallards. Okay, so

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Speaker 1: specimens from a hundred and fifty years ago still resemble

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Speaker 1: ducks in the Western US. But they've established that in

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Speaker 1: the eastern North America, So in the eastern part of

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Speaker 1: the country where you have these game farms, that mallards

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Speaker 1: are not genetically the same thing as they were one

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Speaker 1: and fifty years ago. In breeding with released game farm

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Speaker 1: mallards is the source of the unique genetic signature now

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Speaker 1: found in the high abundance across the Atlantic Flyway. And sadly,

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Speaker 1: that's me saying sadly, not him to some extent now

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Speaker 1: being found in the Mississippi Flyway the eastern mallards. So

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Speaker 1: mallards in the eastern US are becoming a game farm

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Speaker 1: wild hybrid swarm. Oh there is If you kill a

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Speaker 1: mallard in the Eastern US, there is only about a

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Speaker 1: ten percent chance that that duck is pure North American mallard.

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Speaker 1: It's about a chance that some of bitch is part

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Speaker 1: fake mallard from game farm stocking practices. That a bummer. Yeah,

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Speaker 1: hunting should be easier. Huh So, I mean, do you

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Speaker 1: consider what we're doing right now fishing? I mean, because

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Speaker 1: they're fishing uh entered us fish. Yeah, I mean it

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Speaker 1: sounds like if we're going to say that hunting for

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Speaker 1: introduced ducks doesn't count as hunting, then if someone was

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Speaker 1: if we were in a little you know, when you

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Speaker 1: go to a sportsman show and they have a kiddie

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Speaker 1: pool filled with trout, Do I think that's fishing. I'm

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Speaker 1: gonna go ahead and guess no, and I wouldn't. That

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Speaker 1: was fishing. Game farm mallards are not. It's like preserved

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Speaker 1: pheasants and wild peasants. Okay, you're fishing wild fish. They

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Speaker 1: were introduced in this moment, we are, But there are

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Speaker 1: plenty of places where you're fishing for hatchery raised fish

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Speaker 1: that have been planted. There are tons of put in

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Speaker 1: take stock fisheries all over this country. Would call those

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Speaker 1: semi fake fish. You would call those semi fakes. But

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Speaker 1: here's the thing. Picture that you're in a place where

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Speaker 1: you already have something good. You have mallards, you have

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Speaker 1: wild mallards. You're taking something that's existing in there and

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Speaker 1: corrupting it by adding like an easier version of it.

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Speaker 1: It's not the same thing. So, I mean, we we

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Speaker 1: do have an example that from fishing, I would say

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Speaker 1: all the stocking practices that are happening on the West

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Speaker 1: coast with an adremus fish, with your steel head, with

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Speaker 1: your salmon, those are contributing to a population decline in

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Speaker 1: the wild fish. But people love to catch them and

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Speaker 1: they want to be able to take those fish. You've

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Speaker 1: got a whole industry built around taking fish, and as

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00:24:28,840 --> 00:24:31,760
Speaker 1: a result of that, you've got a diminishing wild population.

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Speaker 1: Then condemn it. That's that's a tough thing to do.

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Speaker 1: When you condemn that, you're essentially when you can When

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Speaker 1: you condemn that, you're essentially shutting down any kind of

401
00:24:43,280 --> 00:24:45,439
Speaker 1: harvest from those fisheries because the wild stocks are so

402
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Speaker 1: down they can't sustain them. I that maybe, and I

403
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Speaker 1: agree that there are a lot of areas with fisheries

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Speaker 1: and even some areas of hunting that are confused. Okay,

405
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Speaker 1: but I don't feel the need to be so consistent

406
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Speaker 1: that I can't point out a version of things that

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Speaker 1: I think is is kind of perverse. And I think

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Speaker 1: that that having in an area that has wild mallards

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Speaker 1: and wild duck hunting, to have it be that you're

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Speaker 1: in and that's a native bird, right, It's a native

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Speaker 1: distinct bird, and you're corrupting that in the exact same

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Speaker 1: landscape where it survives. It'd be like, let's say you

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Speaker 1: had Let's say you had in ok here's a great example.

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Speaker 1: Here's a great example. Take Google's turkeys down in southern Arizona. Okay,

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Speaker 1: you have these island mountain chains that have had these

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Speaker 1: historic populations of Gould's turkeys that someone said, yeah, goolds

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Speaker 1: are cool, but there's just not that many of them,

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Speaker 1: and they started just dumping shiploads of pen raised Eastern

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Speaker 1: turkeys into those mountains. Would you feel that that was

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Speaker 1: a travesty? Absolutely, and for the you lost the Gould's turkey.

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Speaker 1: For the record, I am not in favor of the

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Speaker 1: practice that you're talking about, and I'm not happy about

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Speaker 1: this change or the the information you just laid out.

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Speaker 1: It was more of like a semantic conversation about that

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Speaker 1: doesn't count as hunting when I just sort of thought,

426
00:26:17,160 --> 00:26:19,480
Speaker 1: like I'm sitting here catching completely non native fish out

427
00:26:19,480 --> 00:26:22,199
Speaker 1: of stock pond, thinking does this counts fishing? Right? So

428
00:26:22,240 --> 00:26:24,600
Speaker 1: I think there are these very fine lines that you

429
00:26:24,640 --> 00:26:27,719
Speaker 1: have to look at. You can talk about how introducing

430
00:26:27,720 --> 00:26:30,400
Speaker 1: certain species to be able to hunter fish them has

431
00:26:30,560 --> 00:26:36,200
Speaker 1: negative impact on the native species, and that's problematic, right,

432
00:26:36,240 --> 00:26:39,080
Speaker 1: And that's one argument. But then to say that introduced

433
00:26:39,080 --> 00:26:42,159
Speaker 1: species don't count as as hunting, like that gets to

434
00:26:42,200 --> 00:26:44,360
Speaker 1: be problematic. I think for people, I think that gets

435
00:26:44,440 --> 00:26:46,720
Speaker 1: to be an issue that can be sensitive and can

436
00:26:46,800 --> 00:26:48,720
Speaker 1: can rub people the wrong way. So I'll change all

437
00:26:48,760 --> 00:26:51,119
Speaker 1: my words around. I'll say the same thing but use

438
00:26:51,160 --> 00:26:57,480
Speaker 1: different words. Okay, Um, in this case, I think that

439
00:26:57,480 --> 00:27:02,479
Speaker 1: that is is uh trying to say different words aren't

440
00:27:02,520 --> 00:27:09,600
Speaker 1: swear words. But what will that it rest? Yeah? No,

441
00:27:09,840 --> 00:27:12,560
Speaker 1: I'm sticking by my analogy. Okay, let's say this. Let's

442
00:27:12,560 --> 00:27:14,840
Speaker 1: do this one. You're here in the Rocky Mountain West.

443
00:27:15,320 --> 00:27:18,360
Speaker 1: Let's say you had some pristine high mountain lake. They

444
00:27:18,400 --> 00:27:21,400
Speaker 1: had some beautiful native cut throat that had been there

445
00:27:21,440 --> 00:27:24,640
Speaker 1: for thousands of years doing its own thing, and they're

446
00:27:24,720 --> 00:27:27,560
Speaker 1: rare and they're hard to catch what they're there. And

447
00:27:27,560 --> 00:27:29,200
Speaker 1: then some days some guys like, you know what to

448
00:27:29,240 --> 00:27:32,800
Speaker 1: make this lake really great fishing is, let's dump a

449
00:27:32,800 --> 00:27:35,200
Speaker 1: whole bunch of a different kind of cutthroat in there,

450
00:27:36,400 --> 00:27:39,560
Speaker 1: because they get bigger and they're easier to catch. And

451
00:27:39,600 --> 00:27:42,000
Speaker 1: then a hundred and fifty years later, someone looks and says,

452
00:27:42,040 --> 00:27:47,600
Speaker 1: you know what, that unusual like endemic uh trout that

453
00:27:47,760 --> 00:27:51,440
Speaker 1: was found nowhere else doesn't exist anymore because some guy

454
00:27:51,520 --> 00:27:53,800
Speaker 1: thought it was too hard to catch. Absolutely, and I

455
00:27:53,800 --> 00:27:57,359
Speaker 1: mean that happens. This is not we're talking about hypotheticals,

456
00:27:57,400 --> 00:28:00,280
Speaker 1: but a lot of the fish species of trout's beaches

457
00:28:00,320 --> 00:28:02,840
Speaker 1: around here we're put in because they get bigger and

458
00:28:02,840 --> 00:28:04,720
Speaker 1: they're easier to catch, or maybe not easy to catch,

459
00:28:04,760 --> 00:28:08,119
Speaker 1: but more fun to catch than the natives. What they do,

460
00:28:08,160 --> 00:28:11,840
Speaker 1: they have competed them. On the same page. One last

461
00:28:11,840 --> 00:28:15,240
Speaker 1: little bit of listener feedback. We're talking about the gnome

462
00:28:15,520 --> 00:28:21,679
Speaker 1: unicorn I'm sorry, the gnome catching a mermaid shirt, the

463
00:28:21,760 --> 00:28:29,720
Speaker 1: controversial gnome catching a mermaid shirt, and the guys wondering, uh,

464
00:28:30,040 --> 00:28:36,280
Speaker 1: our mermaids oviparous or viviparous? Do you know what that means. No.

465
00:28:36,359 --> 00:28:38,040
Speaker 1: I was just gonna ask you what both of those

466
00:28:38,080 --> 00:28:43,440
Speaker 1: words mean. You don't know oviparous and viviparous. This guy

467
00:28:43,440 --> 00:28:46,080
Speaker 1: that asked this question his his signature line, you know

468
00:28:46,120 --> 00:28:47,600
Speaker 1: how he'll have a signature line. It just tells you,

469
00:28:47,760 --> 00:28:50,120
Speaker 1: like what you do for life or whatever. His signature

470
00:28:50,160 --> 00:28:54,720
Speaker 1: line is a college student. Does that mean do they

471
00:28:54,720 --> 00:29:01,239
Speaker 1: breathe underwater? Reproduction? So, viviparous are those, uh, you know,

472
00:29:01,920 --> 00:29:04,880
Speaker 1: creatures who produce living young instead of eggs from within

473
00:29:04,920 --> 00:29:08,800
Speaker 1: the body, in the manner of nearly all mammals, many

474
00:29:08,800 --> 00:29:13,160
Speaker 1: reptiles and a few fishes. Oviparous are animals that lay

475
00:29:13,200 --> 00:29:16,440
Speaker 1: eggs with little or no other embryonic development within the mother.

476
00:29:18,360 --> 00:29:21,640
Speaker 1: So like a perch, for instance, here would be an

477
00:29:21,640 --> 00:29:27,920
Speaker 1: oviparous creature. Yeah, got it. But the viparous, like, you know,

478
00:29:27,960 --> 00:29:29,520
Speaker 1: there's something you ever see some sharks to have like

479
00:29:29,520 --> 00:29:32,040
Speaker 1: an egg sac did they have with like a very

480
00:29:32,080 --> 00:29:37,040
Speaker 1: developed It'll leave me like on them very developed little

481
00:29:37,040 --> 00:29:39,840
Speaker 1: shark inside it. But he's worried about mermaids. That's a

482
00:29:39,840 --> 00:29:43,480
Speaker 1: great question, because I don't know what uh, I don't

483
00:29:43,520 --> 00:29:52,160
Speaker 1: really even understand the orifice scenario on a mermaid, Like,

484
00:29:52,240 --> 00:29:58,400
Speaker 1: I don't know what orifices are on a mermaid and

485
00:29:58,560 --> 00:30:00,880
Speaker 1: what they do and how many they are? Do they

486
00:30:00,920 --> 00:30:07,600
Speaker 1: even eat? They gotta eat? They live in a fantasy world. Yeah,

487
00:30:07,760 --> 00:30:14,640
Speaker 1: maybe they subsist off of dreams. Yeah, what what do

488
00:30:14,680 --> 00:30:16,560
Speaker 1: you think? Do you think they like that there's no

489
00:30:16,640 --> 00:30:24,560
Speaker 1: sex for mermaids? Okay, yeah, I like to think that that.

490
00:30:24,680 --> 00:30:26,320
Speaker 1: I like to think that they have that as part

491
00:30:26,320 --> 00:30:30,840
Speaker 1: of their lives. Uh, that's ever listener feedback now special,

492
00:30:30,920 --> 00:30:32,720
Speaker 1: let's dive into because I want I want to dive

493
00:30:32,720 --> 00:30:34,560
Speaker 1: back into the fact checker situation because we're here to

494
00:30:34,560 --> 00:30:37,959
Speaker 1: talk about fact Checker is a series? Are you the

495
00:30:38,000 --> 00:30:40,960
Speaker 1: only person that writes fact checkers? Brodie Henderson has written

496
00:30:41,000 --> 00:30:44,440
Speaker 1: a few. Fact Checker is a series where you take

497
00:30:44,560 --> 00:30:46,880
Speaker 1: things that everyone knows to be true because they were

498
00:30:46,880 --> 00:30:50,240
Speaker 1: told that it's true by their grandfather who learned it

499
00:30:50,280 --> 00:30:54,520
Speaker 1: from their grandfather and passed LNG from generation, and you

500
00:30:54,600 --> 00:30:58,080
Speaker 1: just know that it's true. Outdoorsmen specifically, Yeah, these are

501
00:30:58,080 --> 00:31:02,000
Speaker 1: outdoors fact Outdoors things that we all know are like, oh,

502
00:31:02,040 --> 00:31:05,800
Speaker 1: of course everyone knows that that's a buck ship. Yep,

503
00:31:05,960 --> 00:31:09,960
Speaker 1: that's not a dough ship. Yep. Or that's a buck track,

504
00:31:10,480 --> 00:31:14,640
Speaker 1: that's not a dough track, or that little spike corn

505
00:31:14,680 --> 00:31:16,959
Speaker 1: will never become a big, huge, giant buck because he's

506
00:31:16,960 --> 00:31:19,920
Speaker 1: a spike corn and everyone knows that a spike is

507
00:31:19,960 --> 00:31:22,840
Speaker 1: never gonna be a big buck. Or hey, that's a

508
00:31:22,920 --> 00:31:26,040
Speaker 1: six point he must be too. All things that are

509
00:31:26,080 --> 00:31:29,920
Speaker 1: like just widely accepted among sportsman full moon, that's not

510
00:31:30,040 --> 00:31:34,480
Speaker 1: good for hunting, yep. The most recent one that we

511
00:31:34,600 --> 00:31:38,800
Speaker 1: covered was about Spencer. I was so distracted that a

512
00:31:38,880 --> 00:31:43,280
Speaker 1: fish almost took my rod, but it didn't. But it didn't.

513
00:31:43,280 --> 00:31:45,640
Speaker 1: I caught it just in time. Go on. The most

514
00:31:45,680 --> 00:31:48,600
Speaker 1: recent one was do you lose half of your body

515
00:31:48,600 --> 00:31:51,840
Speaker 1: heat through your head? Of course do all? I think

516
00:31:51,880 --> 00:32:01,320
Speaker 1: all anyone knows. The parents have repeated that to their children. Yeah.

517
00:32:01,600 --> 00:32:04,240
Speaker 1: So when I tell my kids, I'm like, put you,

518
00:32:04,280 --> 00:32:05,880
Speaker 1: They're like, I'm cold. I like, put your head up,

519
00:32:05,880 --> 00:32:08,400
Speaker 1: but my head's not cold. I'll tell me about all

520
00:32:08,400 --> 00:32:12,160
Speaker 1: your body He goes out your head perfect, So like

521
00:32:12,240 --> 00:32:14,880
Speaker 1: my my i'm cold. Put your mittens on, my hands

522
00:32:14,880 --> 00:32:17,360
Speaker 1: aren't cold, or my hands are cold of it. Put

523
00:32:17,360 --> 00:32:20,120
Speaker 1: your gloves on, but my hands are cold. I'm sorry,

524
00:32:20,400 --> 00:32:22,880
Speaker 1: my hands are cold. Like put your jacket on, but

525
00:32:23,000 --> 00:32:26,000
Speaker 1: it's my hands that are cold. They think that each

526
00:32:26,040 --> 00:32:30,800
Speaker 1: thing has its own little life. Yeah. So uh for

527
00:32:31,080 --> 00:32:33,320
Speaker 1: these fact checkers, I always try to track down the

528
00:32:33,360 --> 00:32:35,920
Speaker 1: origin of where these things might have started. It's often

529
00:32:36,000 --> 00:32:40,200
Speaker 1: not very easy. But this one was very specific about

530
00:32:40,400 --> 00:32:42,600
Speaker 1: you losing half of your body heat through your head.

531
00:32:42,720 --> 00:32:48,240
Speaker 1: And it the earliest the earliest mentioned this is from

532
00:32:48,240 --> 00:32:52,360
Speaker 1: a the U. S. Army Field Manual in the nineteen fifties,

533
00:32:53,080 --> 00:32:55,160
Speaker 1: which said, isn't that full of a lot of like

534
00:32:55,240 --> 00:33:00,240
Speaker 1: weird bogus and stuff? How could that be true? Uh?

535
00:33:00,560 --> 00:33:03,000
Speaker 1: Because it was the nineteen fifties, I suppose, Oh do

536
00:33:03,000 --> 00:33:04,480
Speaker 1: you think it's a lot of ideas that have just

537
00:33:04,520 --> 00:33:07,080
Speaker 1: fallen from favor? Yeah? Yeah, So so this was from

538
00:33:07,080 --> 00:33:10,200
Speaker 1: the nine fifties. It said you lose your body heat

539
00:33:10,240 --> 00:33:13,960
Speaker 1: through your head. This idea has been revisited since with

540
00:33:14,120 --> 00:33:18,280
Speaker 1: better science, more specific science. I I don't you've been

541
00:33:19,360 --> 00:33:21,280
Speaker 1: know what they were basing this off of. It was

542
00:33:21,360 --> 00:33:25,400
Speaker 1: something about, um, some Arctic studies that they had done

543
00:33:25,640 --> 00:33:28,120
Speaker 1: where they had people bundle way up believe their head

544
00:33:28,200 --> 00:33:32,880
Speaker 1: not bundled, and then they tracked how cold they were getting. Um.

545
00:33:33,080 --> 00:33:36,080
Speaker 1: But but it wasn't very accurate. More modern studies have

546
00:33:36,240 --> 00:33:40,200
Speaker 1: shown that this is not true. You actually lose seven

547
00:33:40,240 --> 00:33:46,080
Speaker 1: to ten percent of your body snificantly through your head. Now, no,

548
00:33:46,480 --> 00:33:51,040
Speaker 1: it's uh, it's actually pretty simple. It's it's just like

549
00:33:51,120 --> 00:33:54,840
Speaker 1: the amount of skin showing the proportion of that to

550
00:33:54,920 --> 00:33:57,760
Speaker 1: the body heat that you lose. So like your head

551
00:33:58,080 --> 00:34:03,000
Speaker 1: is like seven the skin on your body, so then

552
00:34:03,040 --> 00:34:05,239
Speaker 1: that is the amount of heat that you'll lose. And

553
00:34:05,400 --> 00:34:08,560
Speaker 1: so it's like simple. If you were wearing shorts in

554
00:34:08,560 --> 00:34:11,960
Speaker 1: the winter, uh, then heat is escaping through your legs.

555
00:34:12,200 --> 00:34:14,799
Speaker 1: If you're not wearing hat in the winter, then heat

556
00:34:14,920 --> 00:34:17,520
Speaker 1: is escaping through your head. What if you have like

557
00:34:17,640 --> 00:34:20,279
Speaker 1: a lot of hair and you take a shower and

558
00:34:20,320 --> 00:34:23,560
Speaker 1: your hair is wet. You go out and it like

559
00:34:23,840 --> 00:34:26,360
Speaker 1: is cold enough for your wet hair turns to icicles,

560
00:34:26,360 --> 00:34:30,000
Speaker 1: which sometimes will happen with me. Is that is like

561
00:34:30,080 --> 00:34:34,080
Speaker 1: the head some kind of conduit though, for that's a

562
00:34:34,080 --> 00:34:38,160
Speaker 1: good question temperatures or something, just because there's maybe the

563
00:34:39,040 --> 00:34:43,520
Speaker 1: modern studies didn't look at women showering and walking outside.

564
00:34:44,360 --> 00:34:50,600
Speaker 1: I don't know an answer to simply put, the amount

565
00:34:50,680 --> 00:34:52,600
Speaker 1: of heat you lose is proportion to the amount of

566
00:34:52,600 --> 00:34:57,320
Speaker 1: skin showing Okay, interesting, all right, hype was another one

567
00:34:57,440 --> 00:34:59,480
Speaker 1: was another thing that I know was true. Another one

568
00:34:59,600 --> 00:35:03,640
Speaker 1: so big box stores if they find out, hold on,

569
00:35:03,680 --> 00:35:05,799
Speaker 1: he said, you're telling me that. Okay. I I had

570
00:35:05,840 --> 00:35:08,400
Speaker 1: a hard time with the transition there. Okay, go on,

571
00:35:08,960 --> 00:35:11,440
Speaker 1: because I'm trying to fix my boards fishing. Okay, okay.

572
00:35:11,719 --> 00:35:13,799
Speaker 1: So another one that all out door has been have

573
00:35:13,840 --> 00:35:17,200
Speaker 1: heard at some point is that if somebody kills a

574
00:35:17,239 --> 00:35:20,600
Speaker 1: big giant buck, oh yeah, that then their phone is

575
00:35:20,640 --> 00:35:26,880
Speaker 1: blowing up with phone calls from outdoor stores like Sportsman's Warehouse,

576
00:35:26,960 --> 00:35:32,640
Speaker 1: Cabella's Best Pro, Gander Mountain, all clamoring to buy the

577
00:35:32,680 --> 00:35:36,799
Speaker 1: antlers from whatever you just killed. Which I know you've

578
00:35:36,840 --> 00:35:39,799
Speaker 1: heard this before. Met someone. Yeah, I know a guy

579
00:35:39,920 --> 00:35:42,440
Speaker 1: that sold That'll type. When you're done, I'll tell you

580
00:35:42,480 --> 00:35:44,200
Speaker 1: the story because it might be the exception to the rule.

581
00:35:44,280 --> 00:35:46,239
Speaker 1: We're going. Yeah, so you shoot a big buck and

582
00:35:46,239 --> 00:35:47,480
Speaker 1: all of a sudden you get rich because he sell

583
00:35:47,520 --> 00:35:50,200
Speaker 1: it to a big box story. And but you hear

584
00:35:50,239 --> 00:35:53,960
Speaker 1: about this every year. I've heard about my whole life. Yeah.

585
00:35:54,280 --> 00:35:56,200
Speaker 1: The earliest one that they would when I was a kid,

586
00:35:56,480 --> 00:35:59,800
Speaker 1: one of my buddies in his house, his dad had

587
00:36:00,320 --> 00:36:03,200
Speaker 1: this enormous white tail rack above their fireplace. It was

588
00:36:03,239 --> 00:36:05,160
Speaker 1: a perfect four by four and it's the biggest four

589
00:36:05,160 --> 00:36:07,839
Speaker 1: by four I've ever seen in my life. And I

590
00:36:07,920 --> 00:36:10,680
Speaker 1: had been told that Cabelli's had called him every year,

591
00:36:10,719 --> 00:36:13,960
Speaker 1: offering them like more and more money and persistent yeah,

592
00:36:14,080 --> 00:36:15,839
Speaker 1: and they had just turned them down like, nope, it's

593
00:36:15,840 --> 00:36:19,480
Speaker 1: a family heirloom. Our grandpa found them on the farm land. Uh,

594
00:36:19,640 --> 00:36:22,399
Speaker 1: we're not interested in giving them up. Would not let

595
00:36:22,400 --> 00:36:24,200
Speaker 1: it rest, not let it rest. That was like the

596
00:36:24,239 --> 00:36:26,400
Speaker 1: earliest example I can think of this. But every one

597
00:36:26,400 --> 00:36:29,040
Speaker 1: amount of mind did it get to. Uh, So let's

598
00:36:29,080 --> 00:36:31,239
Speaker 1: come back to that at the end about like what

599
00:36:31,960 --> 00:36:34,000
Speaker 1: you know, what kind of money were they getting offered?

600
00:36:35,360 --> 00:36:38,640
Speaker 1: I don't know. This was a middle school memory that

601
00:36:38,719 --> 00:36:43,399
Speaker 1: I since revisited when I called his dad see if

602
00:36:43,440 --> 00:36:45,719
Speaker 1: that was a reality or not. But I put out

603
00:36:45,760 --> 00:36:48,560
Speaker 1: a calling to other people have killed big giant bucks,

604
00:36:48,600 --> 00:36:52,600
Speaker 1: big giant elk um to see what their experience has been.

605
00:36:53,000 --> 00:36:54,160
Speaker 1: And one of the guys that got back to me

606
00:36:54,239 --> 00:36:57,600
Speaker 1: was Joshua Bruce. He killed the second biggest white tail

607
00:36:57,840 --> 00:37:02,600
Speaker 1: in Mississippi state history. Um. And it was shortly after

608
00:37:02,640 --> 00:37:07,600
Speaker 1: he killed this dear he got Jeff Foxworthy. Well that

609
00:37:07,680 --> 00:37:10,160
Speaker 1: was Georgia. Sorry, recently killed like an arch or some

610
00:37:10,239 --> 00:37:13,920
Speaker 1: kind of biggest archery buck for the year. I didn't

611
00:37:13,960 --> 00:37:18,160
Speaker 1: know that. So Joshua Bruce, he killed the second biggest

612
00:37:18,200 --> 00:37:22,279
Speaker 1: buck in Mississippi's state history. Shortly after he killed it,

613
00:37:22,320 --> 00:37:25,320
Speaker 1: he got an offer from a local sporting good store

614
00:37:25,360 --> 00:37:30,919
Speaker 1: owner for thirty to thirty five dollars for real for day.

615
00:37:31,040 --> 00:37:33,120
Speaker 1: I want to know, is it for the originals or

616
00:37:33,120 --> 00:37:38,239
Speaker 1: does it does kill for the original So Joshua was

617
00:37:38,320 --> 00:37:41,239
Speaker 1: mulling over this offer, and he had taken his time.

618
00:37:41,280 --> 00:37:44,640
Speaker 1: He had taken about a week to decide if he

619
00:37:44,719 --> 00:37:48,120
Speaker 1: was going to accept this offer. And before he was

620
00:37:48,160 --> 00:37:50,280
Speaker 1: going to get back to this sporting good store owner,

621
00:37:50,320 --> 00:37:54,520
Speaker 1: this local chain in the South, Bass Parole approached him

622
00:37:54,560 --> 00:37:59,440
Speaker 1: with quote unquote, a better offer now in the contract,

623
00:38:00,040 --> 00:38:02,520
Speaker 1: but they're wanting to buy it, buy it. It's like

624
00:38:04,360 --> 00:38:07,919
Speaker 1: so in the contract that uh Joshua signed with Bass

625
00:38:07,920 --> 00:38:09,919
Speaker 1: Pro when he end up selling these, it was agreed

626
00:38:10,000 --> 00:38:14,680
Speaker 1: upon that he couldn't disclose um what the exchange exactly was.

627
00:38:14,800 --> 00:38:17,800
Speaker 1: So Joshua was trying to protect the market. Yeah, Joshua

628
00:38:17,800 --> 00:38:20,160
Speaker 1: couldn't tell me what Bass probe paid, but he said

629
00:38:20,200 --> 00:38:23,319
Speaker 1: it was a better offer. With that better offer came

630
00:38:23,360 --> 00:38:26,640
Speaker 1: a large exchange of money. UM. They then gave him

631
00:38:26,680 --> 00:38:29,400
Speaker 1: some replicas as well, and they are now displaying that

632
00:38:29,440 --> 00:38:32,439
Speaker 1: buck in their museum in Springfield, Missouri. So he did

633
00:38:32,440 --> 00:38:35,640
Speaker 1: the sale. He did the sale. This is an interesting

634
00:38:35,680 --> 00:38:37,680
Speaker 1: thing too, because you can't sell game meeting, you can

635
00:38:37,680 --> 00:38:41,640
Speaker 1: sell part so that's it's a great example of this. UM.

636
00:38:41,719 --> 00:38:46,440
Speaker 1: Joshua killed his deer on I believe it's Miles Island

637
00:38:46,560 --> 00:38:50,719
Speaker 1: or Giles Island. It's this world famous duck in deer

638
00:38:50,800 --> 00:38:56,279
Speaker 1: hunting Island UM that is positioned between Mississippi and Louisiana.

639
00:38:56,320 --> 00:38:59,000
Speaker 1: You can hunt there with a tag for either one.

640
00:38:59,640 --> 00:39:04,399
Speaker 1: He had a Louisiana tag that he killed this deer with,

641
00:39:05,160 --> 00:39:07,640
Speaker 1: and when it came time to sell it, to hit

642
00:39:07,680 --> 00:39:12,680
Speaker 1: a snag because in Louisiana you are allowed to sell

643
00:39:12,719 --> 00:39:16,200
Speaker 1: antlers because they're considered, like uh, a piece of art,

644
00:39:17,040 --> 00:39:19,720
Speaker 1: but in Mississippi is considered part of the game animals,

645
00:39:19,719 --> 00:39:21,840
Speaker 1: so you can't. So you couldn't do it. So he

646
00:39:21,880 --> 00:39:24,839
Speaker 1: had to actually end up getting like a written letter

647
00:39:24,920 --> 00:39:28,239
Speaker 1: from local game wardens and the d A allowing him

648
00:39:28,239 --> 00:39:32,640
Speaker 1: to sell this yeah, and it was some amount of

649
00:39:32,680 --> 00:39:35,960
Speaker 1: money more than thirty five grands, so he couldn't I

650
00:39:36,000 --> 00:39:38,160
Speaker 1: asked him that specifically. He couldn't say, yesterdor now because

651
00:39:38,160 --> 00:39:39,799
Speaker 1: he signed a deal never to the school, right. But

652
00:39:39,840 --> 00:39:42,239
Speaker 1: he said it was a better offer to him. So

653
00:39:42,280 --> 00:39:43,920
Speaker 1: it could have had something to do with the replicas

654
00:39:44,000 --> 00:39:46,640
Speaker 1: that he was offered. Um, it was also very valuable

655
00:39:46,719 --> 00:39:48,920
Speaker 1: to him to have it in that King of Bucks

656
00:39:48,960 --> 00:39:52,160
Speaker 1: display at the museum. So I don't know the exact

657
00:39:52,160 --> 00:39:56,879
Speaker 1: amount of money. Huh. Luke Brewster he recently killed. So

658
00:39:56,880 --> 00:40:00,359
Speaker 1: so this is one of those fact checkers. It's true, Yeah, yep,

659
00:40:01,160 --> 00:40:05,480
Speaker 1: but I think it's rarer than people put it. Okay,

660
00:40:05,840 --> 00:40:09,040
Speaker 1: every time, every time a version of how this went. Yeah,

661
00:40:09,040 --> 00:40:12,040
Speaker 1: we're going on. Luke Brewster recently killed the world He

662
00:40:12,160 --> 00:40:14,600
Speaker 1: recently killed the world record white tail. That's what he's

663
00:40:14,600 --> 00:40:16,680
Speaker 1: famous for. Yes, so he's not someone I should know

664
00:40:16,760 --> 00:40:19,120
Speaker 1: prior to that. Nope, he killed this world record white

665
00:40:19,120 --> 00:40:24,760
Speaker 1: tail in illinoisen. Uh. He was offered a blake check

666
00:40:25,080 --> 00:40:31,919
Speaker 1: basically for his deer, and he said so he could

667
00:40:31,920 --> 00:40:38,799
Speaker 1: have put down um three billion dollars. Uh, No, I

668
00:40:38,840 --> 00:40:42,879
Speaker 1: don't think so. But that little perch there yeah, i'd

669
00:40:42,920 --> 00:40:44,799
Speaker 1: like it to. I didn't want to interrupt earlier, but

670
00:40:44,840 --> 00:40:47,279
Speaker 1: now I will. This is my second purchase of the day.

671
00:40:47,719 --> 00:40:50,960
Speaker 1: I got a slow start. I was picking up for me.

672
00:40:51,600 --> 00:40:54,879
Speaker 1: He made it very well known that he wasn't going

673
00:40:55,000 --> 00:40:57,600
Speaker 1: to shop his dear, and so he just hasn't got

674
00:40:57,640 --> 00:41:02,040
Speaker 1: any offers since he's hanging onto it. Yes, he's not

675
00:41:02,120 --> 00:41:04,160
Speaker 1: interested in giving somebody the real thing, even if it

676
00:41:04,200 --> 00:41:06,160
Speaker 1: meant he could have a replica of his own. He's

677
00:41:06,160 --> 00:41:09,919
Speaker 1: a fool. The replica party of this is interesting. Part

678
00:41:09,920 --> 00:41:12,200
Speaker 1: of the deals will make you a replica of your deer.

679
00:41:13,400 --> 00:41:15,960
Speaker 1: I really interested somebody else who didn't want to be

680
00:41:16,040 --> 00:41:19,400
Speaker 1: in the article. Um they didn't want their name used.

681
00:41:19,640 --> 00:41:21,520
Speaker 1: Um like they let me interview him. Who was it

682
00:41:21,600 --> 00:41:28,360
Speaker 1: they don't want? They gave me all these details. I

683
00:41:28,360 --> 00:41:31,760
Speaker 1: don't like being with you any when he's fishing because uh,

684
00:41:31,960 --> 00:41:35,279
Speaker 1: he doesn't catch that many. But then he, uh, he

685
00:41:35,320 --> 00:41:38,719
Speaker 1: doesn't pay any attention to anything anybody's talking about. We're going.

686
00:41:40,160 --> 00:41:43,200
Speaker 1: So I I promised him I wouldn't write about it,

687
00:41:43,640 --> 00:41:48,160
Speaker 1: but I'll give a few details. Yeah, but I want

688
00:41:48,480 --> 00:41:51,359
Speaker 1: just like a legit journalist. Sometimes I don't even want

689
00:41:51,360 --> 00:41:53,360
Speaker 1: to say what kind of animal he killed because it

690
00:41:53,400 --> 00:41:55,280
Speaker 1: might be too easy to figure out was in recent years.

691
00:41:55,800 --> 00:41:58,520
Speaker 1: This guy killed one of the biggest of this critter

692
00:41:58,840 --> 00:42:07,080
Speaker 1: in the world. Color is it? He? Then he then

693
00:42:07,320 --> 00:42:10,400
Speaker 1: got offered a hundred thousand dollars really and he turned

694
00:42:10,400 --> 00:42:13,400
Speaker 1: it down. He was not interested. He recently shot the

695
00:42:13,400 --> 00:42:16,800
Speaker 1: biggest something Johnnie, but I don't follow that kind of stuff.

696
00:42:17,480 --> 00:42:19,520
Speaker 1: And he he didn't want me to discuss this in

697
00:42:19,520 --> 00:42:23,560
Speaker 1: the article because he didn't. He said he there's crime

698
00:42:23,840 --> 00:42:25,640
Speaker 1: in the area he lives, and he didn't want it

699
00:42:25,680 --> 00:42:29,680
Speaker 1: to be out there that he had something in his homes.

700
00:42:30,680 --> 00:42:34,760
Speaker 1: Um do I mean break it in thief it? Oh, okay,

701
00:42:35,280 --> 00:42:38,080
Speaker 1: So that's that's why he didn't care to, uh have

702
00:42:38,239 --> 00:42:41,600
Speaker 1: that written about or have any specifics. He didn't want

703
00:42:42,000 --> 00:42:44,120
Speaker 1: but a hundred thousand dollars is what he was offered.

704
00:42:44,640 --> 00:42:47,040
Speaker 1: Doesn't want to do it. I wouldn't do it, and

705
00:42:47,160 --> 00:42:49,719
Speaker 1: uh it just doesn't even want to know. It's kind

706
00:42:49,719 --> 00:42:52,000
Speaker 1: of like, that's cool. I respect it, but it's kind

707
00:42:52,000 --> 00:42:55,400
Speaker 1: of hard for me to picture. Oh yeah, when I

708
00:42:55,480 --> 00:42:57,160
Speaker 1: was writing, the guys just take a bunch of pictures,

709
00:42:57,200 --> 00:42:59,200
Speaker 1: get the refelical maiden, and take the hundred thousand dollars

710
00:42:59,239 --> 00:43:01,680
Speaker 1: and go hunt. My My wife testing me, she asked me,

711
00:43:01,719 --> 00:43:05,200
Speaker 1: She's like, what would it cost for someone to buy

712
00:43:05,360 --> 00:43:07,799
Speaker 1: like your biggest deer amount? And I was like, three

713
00:43:07,840 --> 00:43:18,040
Speaker 1: hundred bucks pay for the shoulder mount, and so I'd

714
00:43:18,080 --> 00:43:21,880
Speaker 1: be fine with that. Man, I got in the first place.

715
00:43:22,320 --> 00:43:27,399
Speaker 1: You got student a little still, Oh well yeah yeah yeah,

716
00:43:27,640 --> 00:43:29,319
Speaker 1: why yeah, why did you have the shoulder mount done

717
00:43:29,320 --> 00:43:33,719
Speaker 1: the first place? If you'd sell it? Like like having it? Um, Okay,

718
00:43:33,760 --> 00:43:36,920
Speaker 1: maybe it's not three d five hundred, how about that.

719
00:43:37,640 --> 00:43:39,719
Speaker 1: I'm just like, it's not It's not so important to

720
00:43:39,760 --> 00:43:41,480
Speaker 1: me that I can't possibly not have it. I have

721
00:43:41,560 --> 00:43:45,160
Speaker 1: the memory, I have the pictures. Um like those things.

722
00:43:45,760 --> 00:43:47,960
Speaker 1: Way more people will ever see the pictures of the

723
00:43:48,000 --> 00:43:52,399
Speaker 1: deer than they will be exact antlers. I wanna that's

724
00:43:52,440 --> 00:43:54,040
Speaker 1: not what we're talking about. I want to go back

725
00:43:54,040 --> 00:43:58,000
Speaker 1: to let's say, Spencer, if you're killed the state record

726
00:43:58,400 --> 00:44:03,920
Speaker 1: white till for for no South Dakota, would you sell it?

727
00:44:04,480 --> 00:44:07,480
Speaker 1: I could give you an example. I killed the state

728
00:44:07,520 --> 00:44:10,320
Speaker 1: record real grand turkey with my bow in South Dakota.

729
00:44:10,560 --> 00:44:13,759
Speaker 1: Come on, really, yeah, well no, I believe you, but

730
00:44:13,800 --> 00:44:15,960
Speaker 1: I just don't believe that I don't believe that it's

731
00:44:16,040 --> 00:44:21,239
Speaker 1: I don't believe in uh turkey storing of turkeys. It

732
00:44:21,360 --> 00:44:24,240
Speaker 1: had three beards. It had three beards, weighed like twenty

733
00:44:24,239 --> 00:44:27,880
Speaker 1: three pounds. I have all this documented. This is not

734
00:44:27,920 --> 00:44:30,279
Speaker 1: going to be a good counter argument because no one

735
00:44:30,320 --> 00:44:36,040
Speaker 1: really care state record. Just people. We have to help people.

736
00:44:37,440 --> 00:44:40,320
Speaker 1: There's a thing, there's a there's a form of mental

737
00:44:40,400 --> 00:44:49,319
Speaker 1: masturbation called turkey measuring. And in turkey measuring, it's the

738
00:44:49,360 --> 00:44:55,200
Speaker 1: turkey's weight, it's some function, it's some like like some

739
00:44:55,320 --> 00:45:00,239
Speaker 1: expression of the turkey's weight, the length of his burd

740
00:45:00,360 --> 00:45:02,080
Speaker 1: and in the length of his beard. But if the

741
00:45:02,080 --> 00:45:05,880
Speaker 1: turkey gets multiple beards, you measure them all so that

742
00:45:06,000 --> 00:45:10,560
Speaker 1: some people have turkey beers. In the twenties, yes, my

743
00:45:10,920 --> 00:45:14,520
Speaker 1: for example, had a triple beard, had eleven nine and seven,

744
00:45:14,560 --> 00:45:17,960
Speaker 1: so seven inches of beard, which is like the that's

745
00:45:17,960 --> 00:45:21,160
Speaker 1: the big multiplier. Okay, so okay, let's continue this. So

746
00:45:21,200 --> 00:45:24,360
Speaker 1: you have a world right state record. I think it's

747
00:45:24,400 --> 00:45:27,480
Speaker 1: like number state record archery turkey. I think it's I

748
00:45:27,480 --> 00:45:30,080
Speaker 1: think it's like thirteen in the world. And what equipment

749
00:45:30,239 --> 00:45:33,040
Speaker 1: and what kind of what kind of offers have you

750
00:45:33,080 --> 00:45:37,400
Speaker 1: been fielding? I have tried to give it away. I've called,

751
00:45:37,880 --> 00:45:42,080
Speaker 1: uh the Smithsonian Natural History Museum. They're not interested in it.

752
00:45:42,160 --> 00:45:44,879
Speaker 1: I've tried giving it to bass Pro and Cabelli's, they're

753
00:45:44,920 --> 00:45:47,120
Speaker 1: not interested in it. I don't have it mounted though,

754
00:45:47,280 --> 00:45:51,040
Speaker 1: like I have. All the fan, the beards, the spurs,

755
00:45:51,080 --> 00:45:53,840
Speaker 1: all that stuff is preserved, so they would have to

756
00:45:53,880 --> 00:45:55,680
Speaker 1: do what you need to get it out and then

757
00:45:55,719 --> 00:45:57,720
Speaker 1: they would just mount it and pay the five hundred

758
00:45:57,760 --> 00:46:01,400
Speaker 1: bucks or whatever it is to to mount but turkey. Um,

759
00:46:01,440 --> 00:46:03,799
Speaker 1: but nobody's interested in And that was also part of

760
00:46:03,800 --> 00:46:07,040
Speaker 1: his fact checkers that one guy, um who do you

761
00:46:07,080 --> 00:46:09,520
Speaker 1: want me to give his name? As a former trophy

762
00:46:09,560 --> 00:46:14,080
Speaker 1: curator for Fast Pro Slash Cabellas, he said that these

763
00:46:14,080 --> 00:46:16,920
Speaker 1: places are sitting on such a big inventory amounts that

764
00:46:17,080 --> 00:46:19,239
Speaker 1: a lot of them will just never see like a

765
00:46:19,280 --> 00:46:25,120
Speaker 1: show room floor, because it's they're not like clamoring to have, uh,

766
00:46:25,440 --> 00:46:30,880
Speaker 1: just like average critters anymore. And so to them, a

767
00:46:30,960 --> 00:46:34,959
Speaker 1: rio grand turkey with three beards is just like don't

768
00:46:35,160 --> 00:46:39,759
Speaker 1: don't eat it. Mm hmm. Yanni will now tell you

769
00:46:40,160 --> 00:46:43,000
Speaker 1: the story that we know Yanni tied into his third

770
00:46:43,040 --> 00:46:46,480
Speaker 1: fish of the day. Yanni will not tell you the

771
00:46:46,520 --> 00:46:48,840
Speaker 1: story we know, and I'll have my thumb up or

772
00:46:48,880 --> 00:46:51,680
Speaker 1: down depending on how good of a job I think

773
00:46:51,680 --> 00:46:54,600
Speaker 1: he's doing at remembering the details. So my thumb is

774
00:46:54,719 --> 00:46:58,279
Speaker 1: level right now, I think you should just tell it.

775
00:46:58,280 --> 00:47:01,120
Speaker 1: I don't remember the details all that. Are you talking

776
00:47:01,120 --> 00:47:05,440
Speaker 1: about bucks story? Yeah? Yeah, I mean I can give

777
00:47:05,480 --> 00:47:08,560
Speaker 1: you a very very here let me hear what you got.

778
00:47:08,600 --> 00:47:11,640
Speaker 1: Let me hear you got very very bridge version of it.

779
00:47:11,719 --> 00:47:15,640
Speaker 1: Do you remember the circumstances under which he was hunting? Uh? No,

780
00:47:15,840 --> 00:47:18,360
Speaker 1: I remember? You mean that he was guiding somebody. Wasn't

781
00:47:19,000 --> 00:47:21,560
Speaker 1: He wasn't, but I thought that he was guiding somebody.

782
00:47:21,800 --> 00:47:25,839
Speaker 1: And then they didn't kill the bull, right, that's correct. Yeah,

783
00:47:26,840 --> 00:47:28,520
Speaker 1: And as a giant, he was like, dude, you should

784
00:47:28,520 --> 00:47:30,560
Speaker 1: really kill him. And the guys didn't like something about

785
00:47:30,560 --> 00:47:33,799
Speaker 1: the bulls anglers didn't have enough raw times or wasn't

786
00:47:33,800 --> 00:47:36,600
Speaker 1: wide enough for something to Bucks like, you're an idiot. Later,

787
00:47:36,680 --> 00:47:40,160
Speaker 1: Bucks out hunting by himself, and he's like, you know, no,

788
00:47:40,280 --> 00:47:44,960
Speaker 1: he just out hunt by himself and happened to come across.

789
00:47:45,320 --> 00:47:47,680
Speaker 1: You remember better than I got the part about the

790
00:47:47,680 --> 00:47:51,319
Speaker 1: client come across the same bowl and Buck wasn't looking

791
00:47:51,360 --> 00:47:53,359
Speaker 1: for that bowl but happened to come across that same

792
00:47:53,440 --> 00:47:56,719
Speaker 1: bowl and shot it and then I don't I don't

793
00:47:56,760 --> 00:47:59,120
Speaker 1: know how it all went down, but somehow he ended

794
00:47:59,160 --> 00:48:05,560
Speaker 1: up getting a large it's some crazy a giant I

795
00:48:05,560 --> 00:48:08,120
Speaker 1: don't want to throw number A giant moose. He would

796
00:48:08,200 --> 00:48:10,759
Speaker 1: bring it because he would go down to the Harris

797
00:48:11,040 --> 00:48:15,120
Speaker 1: Harrisburg Sportsman show. Yeah, yeah, he'sad there next week. So

798
00:48:15,239 --> 00:48:17,439
Speaker 1: he would go to the Harrisburg show and he would

799
00:48:17,480 --> 00:48:20,760
Speaker 1: took to book clients and he'd bring this big gass

800
00:48:20,800 --> 00:48:23,359
Speaker 1: moose skull down there to be like, hey, look at

801
00:48:23,360 --> 00:48:25,920
Speaker 1: the giant moose that come off my place, right, you

802
00:48:25,920 --> 00:48:29,960
Speaker 1: can picture this. He'd used it as like an advertisement. Well,

803
00:48:31,239 --> 00:48:34,880
Speaker 1: the way he tells it, one of the Cabella's brothers,

804
00:48:34,880 --> 00:48:38,360
Speaker 1: I feel like, you like Dick Cabella's or whoever sees it,

805
00:48:38,840 --> 00:48:42,520
Speaker 1: and he's like, man, do I like that moose? So

806
00:48:43,800 --> 00:48:49,000
Speaker 1: sends one of his fellers over there to negotiate, and

807
00:48:49,040 --> 00:48:52,239
Speaker 1: then Buck sold it for like a pretty good chunk

808
00:48:52,239 --> 00:48:56,720
Speaker 1: of money tens of thousands. I don't remember how many tens,

809
00:48:56,840 --> 00:49:00,920
Speaker 1: two tens, whatever was. He's probably because he didn't ask.

810
00:49:01,400 --> 00:49:03,759
Speaker 1: He was not got a good chunk of change for

811
00:49:03,800 --> 00:49:07,160
Speaker 1: this thing. And he knows where it's on display now,

812
00:49:08,320 --> 00:49:10,000
Speaker 1: and if he wanted badly enough, he could have a

813
00:49:10,040 --> 00:49:12,920
Speaker 1: replica made of it and still come out ahead. Do

814
00:49:12,960 --> 00:49:18,840
Speaker 1: you know where? Uh? Where did you? Why did you

815
00:49:18,880 --> 00:49:21,359
Speaker 1: do that one? Like? Where did that one come up from?

816
00:49:21,400 --> 00:49:24,000
Speaker 1: Just your own mind? Yeah? Because that that's just like

817
00:49:24,080 --> 00:49:26,400
Speaker 1: such a common thing you here at the bar or

818
00:49:26,440 --> 00:49:31,200
Speaker 1: the guys drinking coffee, uh, every weekday morning at dat am,

819
00:49:31,239 --> 00:49:34,640
Speaker 1: talk about whatever. And like I said, back to that

820
00:49:34,680 --> 00:49:37,959
Speaker 1: middle school example of my buddy's antlers on the wall,

821
00:49:38,200 --> 00:49:40,160
Speaker 1: Like called his dad when I was working on this,

822
00:49:40,200 --> 00:49:42,520
Speaker 1: because I thought that would be the best way to

823
00:49:42,560 --> 00:49:45,160
Speaker 1: track down if this is reality or not. And he said,

824
00:49:45,320 --> 00:49:49,120
Speaker 1: uh no, he had never gotten offered any amount of

825
00:49:49,120 --> 00:49:53,080
Speaker 1: money for those antlers. That was just like a schoolyard rumor.

826
00:49:53,440 --> 00:49:55,400
Speaker 1: The only offer that he ever got was from a

827
00:49:55,440 --> 00:49:57,880
Speaker 1: guy in town offered him a brand new washing machine

828
00:49:58,520 --> 00:50:02,160
Speaker 1: the antlers. Huh, he said, no, turn that down three

829
00:50:02,239 --> 00:50:05,960
Speaker 1: or four grand? I don't know. I don't know what's

830
00:50:05,960 --> 00:50:10,600
Speaker 1: the washing machine cost? Dishwasher, clothes washer like clothes washer,

831
00:50:11,000 --> 00:50:14,440
Speaker 1: you know, a brand model? I don't know. The guy, Uh,

832
00:50:14,520 --> 00:50:17,799
Speaker 1: the guy owned a furniture store. Oh and the guy

833
00:50:17,800 --> 00:50:20,680
Speaker 1: with the antlers told me, He's like, yeah, you know,

834
00:50:20,719 --> 00:50:22,759
Speaker 1: I just think if if our wives knew about that,

835
00:50:22,760 --> 00:50:25,840
Speaker 1: we'd both get divorced because his wife would be upset

836
00:50:25,880 --> 00:50:28,840
Speaker 1: that he was offering a washing machine for antlers, and

837
00:50:28,880 --> 00:50:30,920
Speaker 1: my wife would be upset that I turned him down

838
00:50:31,560 --> 00:50:34,560
Speaker 1: not taking a new washing machine for antlers. Oh, that's

839
00:50:34,560 --> 00:50:38,080
Speaker 1: a good point. So they had to keep a secret, yes,

840
00:50:38,160 --> 00:50:42,960
Speaker 1: but it was not. It wasn't like I remembered it

841
00:50:42,960 --> 00:50:45,320
Speaker 1: from middle school where Cabella's was blowing up their phone

842
00:50:45,320 --> 00:50:48,600
Speaker 1: every year, being like at some point he's got a

843
00:50:48,640 --> 00:50:52,080
Speaker 1: crack yep, yep. But so it absolutely happens, but it's

844
00:50:52,120 --> 00:50:55,080
Speaker 1: not like as prevalent as you think, where every year

845
00:50:55,760 --> 00:50:58,680
Speaker 1: so and so in your county kills a big something

846
00:50:59,040 --> 00:51:02,359
Speaker 1: and then Cabelli's is just showing up as fistful as

847
00:51:02,360 --> 00:51:04,319
Speaker 1: of cash. Your best bro, Okay, hit me with the

848
00:51:04,360 --> 00:51:07,000
Speaker 1: next one. No, I still want to know if Spencer,

849
00:51:07,040 --> 00:51:11,200
Speaker 1: if you killed the record South Dakota Record, salth Dakota Record,

850
00:51:11,320 --> 00:51:13,719
Speaker 1: you'd sell it or keep it. I'd sell it. You

851
00:51:13,800 --> 00:51:22,279
Speaker 1: get how much that's it? Yeah, I'd sell for sure. Yeah,

852
00:51:22,360 --> 00:51:28,239
Speaker 1: because they're just material things. Soul's money, but money can

853
00:51:28,280 --> 00:51:35,319
Speaker 1: be turned into experiences. There you go philanthropy. I don't

854
00:51:35,320 --> 00:51:39,080
Speaker 1: know whatever you know, but it's just like I don't know,

855
00:51:40,480 --> 00:51:42,279
Speaker 1: but there still has to be a point at which

856
00:51:42,280 --> 00:51:43,560
Speaker 1: you would or wouldn't do it. I I don't want to

857
00:51:43,680 --> 00:51:45,840
Speaker 1: be labor the point, but for something like like I

858
00:51:45,880 --> 00:51:47,799
Speaker 1: have a nice mulder. I have a muled here that

859
00:51:47,840 --> 00:51:50,160
Speaker 1: I'm very happy to have. If someone said they were

860
00:51:50,160 --> 00:51:51,719
Speaker 1: going to give me a couple of thousand dollars for it,

861
00:51:51,719 --> 00:51:55,360
Speaker 1: I wouldn't take it. You wouldn't a couple of thousand dollars?

862
00:51:55,600 --> 00:52:01,759
Speaker 1: What about like, yeah, yeah, gets up there. Okay, they

863
00:52:01,840 --> 00:52:06,480
Speaker 1: have to do me the replica? Okay. We used to

864
00:52:06,480 --> 00:52:08,520
Speaker 1: play a much worse version of this, and that it

865
00:52:08,600 --> 00:52:11,320
Speaker 1: was basically at what dollar figure would you do? Various

866
00:52:11,320 --> 00:52:18,120
Speaker 1: things Mine involved Larry King. I don't want to get

867
00:52:18,120 --> 00:52:23,040
Speaker 1: into details. I came in surprised. I came in surprisingly low,

868
00:52:23,600 --> 00:52:27,000
Speaker 1: and people were shocked at how low I came in

869
00:52:27,080 --> 00:52:31,680
Speaker 1: at to do a certain activity. Larry King, Um, okay,

870
00:52:31,760 --> 00:52:34,480
Speaker 1: hit me another one, Spencer, Uh, this is another one

871
00:52:34,560 --> 00:52:36,640
Speaker 1: that when I talked to her editorial team, we had

872
00:52:36,680 --> 00:52:40,560
Speaker 1: people from California to South Dakota, Pennsylvania. Everyone had heard this,

873
00:52:40,840 --> 00:52:43,719
Speaker 1: and it was just like an accepted deal. And it's

874
00:52:43,760 --> 00:52:48,800
Speaker 1: that baby rattlesnakes are more dangerous because they can't or

875
00:52:49,000 --> 00:52:53,800
Speaker 1: I'll tell you why, all right, because they have little

876
00:52:53,800 --> 00:52:56,640
Speaker 1: baby venom and it's more potent, and they haven't yet

877
00:52:56,680 --> 00:53:01,800
Speaker 1: developed the mechanism by which you stop the flow of venom,

878
00:53:01,840 --> 00:53:04,120
Speaker 1: so that when this baby rattler gets ahold of you,

879
00:53:04,680 --> 00:53:09,040
Speaker 1: he just, in this spasm of lust, let's all of

880
00:53:09,080 --> 00:53:12,840
Speaker 1: his venom into you, and you die. They just can't control.

881
00:53:14,120 --> 00:53:17,640
Speaker 1: And then on the contrary that that assumes that a

882
00:53:17,640 --> 00:53:22,600
Speaker 1: a large or an adult rattlesnake would control that and

883
00:53:22,640 --> 00:53:26,360
Speaker 1: wouldn't throw much because he's more mature and right, and

884
00:53:26,400 --> 00:53:28,560
Speaker 1: they need something they need like, they need something in

885
00:53:28,600 --> 00:53:31,480
Speaker 1: the reserve for later, because if a rattlesnake doesn't have

886
00:53:31,600 --> 00:53:38,080
Speaker 1: venom's like it's just part of the potential explanation the reality.

887
00:53:38,160 --> 00:53:44,000
Speaker 1: That's all. It's all false. It's all false. I knew

888
00:53:44,080 --> 00:53:46,879
Speaker 1: it wasn't true, but I'd still tell people. I still

889
00:53:46,920 --> 00:53:49,440
Speaker 1: have told people that throughout my life, and I've definitely

890
00:53:49,480 --> 00:53:54,279
Speaker 1: heard it. So young rattlesnakes and old rattlesnakes alike can

891
00:53:54,320 --> 00:53:58,120
Speaker 1: control the amount of venom that they throw, and the

892
00:53:58,160 --> 00:54:01,360
Speaker 1: probability of you getting a rye bite, which is a

893
00:54:01,440 --> 00:54:04,880
Speaker 1: bite without venom, it's just as likely whether it's a

894
00:54:04,880 --> 00:54:08,359
Speaker 1: one ft rattler or a five ft rattler. Oh really, So,

895
00:54:08,480 --> 00:54:13,480
Speaker 1: like if you're out and you god forbid, have a

896
00:54:13,480 --> 00:54:16,600
Speaker 1: snake bite you, it's very possible that there's no venom

897
00:54:16,640 --> 00:54:19,320
Speaker 1: in that, and there's yeah, they can they can choose

898
00:54:19,360 --> 00:54:21,480
Speaker 1: to nott throw any venom at all. Really like he

899
00:54:21,520 --> 00:54:23,480
Speaker 1: makes the choice. Yeah, I thought it was. I thought

900
00:54:23,520 --> 00:54:25,080
Speaker 1: when it was a dry bite, I didn't know that

901
00:54:25,120 --> 00:54:28,120
Speaker 1: it was a conscious decision of the snake. I thought

902
00:54:28,120 --> 00:54:30,640
Speaker 1: it was like just the whatever, you know, like the

903
00:54:30,680 --> 00:54:34,880
Speaker 1: circumstances or he was low on venom or so he

904
00:54:34,920 --> 00:54:37,640
Speaker 1: can just be like I'm gonna get you, but no venom.

905
00:54:37,719 --> 00:54:41,359
Speaker 1: So age is an indicator of or excuse me, age

906
00:54:41,400 --> 00:54:43,960
Speaker 1: is not an indicator of whether or not they'll give

907
00:54:43,960 --> 00:54:47,160
Speaker 1: you a dry bite. And if I remember this correctly,

908
00:54:47,760 --> 00:54:50,359
Speaker 1: they're more likely to throw dry bytes on when they're

909
00:54:50,440 --> 00:54:53,759
Speaker 1: like feeling defensive, like get the hell out of my

910
00:54:53,800 --> 00:54:56,920
Speaker 1: face sort of thing, more likely to throw a dry bite, yes,

911
00:54:57,120 --> 00:54:58,879
Speaker 1: Whereas like if they want to kill something that they're

912
00:54:58,880 --> 00:55:01,080
Speaker 1: going to eat like a snake, yeah, or excuse me,

913
00:55:01,160 --> 00:55:04,440
Speaker 1: like a rabbit or whatever. Then they'll use their venom

914
00:55:04,600 --> 00:55:07,360
Speaker 1: to kill it and it helps with the digestion. I believe,

915
00:55:08,120 --> 00:55:12,799
Speaker 1: um the venom does. So if they're like defensive, more

916
00:55:12,840 --> 00:55:16,759
Speaker 1: likely to be dry. If they're view something is prey,

917
00:55:16,840 --> 00:55:21,200
Speaker 1: then it's more likely to have the venom. I wonder

918
00:55:21,280 --> 00:55:28,520
Speaker 1: how many double Oh, I wonder how many people get

919
00:55:28,560 --> 00:55:32,960
Speaker 1: bitten by a rattlesnake and don't need the anti venom

920
00:55:33,040 --> 00:55:38,359
Speaker 1: for it because because there's no venom in there. Oh,

921
00:55:38,440 --> 00:55:42,400
Speaker 1: like you like you see a rattlesnake bite you, and

922
00:55:43,440 --> 00:55:45,360
Speaker 1: you're like, holy sh it, I got bit by a rattler.

923
00:55:46,680 --> 00:55:51,040
Speaker 1: There is some truth in that smaller steaks smaller snakes

924
00:55:51,120 --> 00:55:56,759
Speaker 1: can have more potent venom um, But venom has over

925
00:55:56,800 --> 00:56:00,440
Speaker 1: a hundred active compounds and it very space on a

926
00:56:00,480 --> 00:56:04,080
Speaker 1: number of things like age, diet, location, how long ago

927
00:56:04,080 --> 00:56:07,080
Speaker 1: with eight and stuff like that. Um, So, a baby

928
00:56:07,160 --> 00:56:11,600
Speaker 1: rattlesnake could potentially have more potent venom um, but adult

929
00:56:11,640 --> 00:56:16,440
Speaker 1: snakes store twenty to fifty times more venom. So like

930
00:56:16,520 --> 00:56:19,080
Speaker 1: a simple way to to put a bowl on this

931
00:56:19,200 --> 00:56:21,359
Speaker 1: is that the bigger the snake, the bigger the consequences.

932
00:56:22,040 --> 00:56:25,799
Speaker 1: Even if a baby rattlesnake has more potent venom, it

933
00:56:25,840 --> 00:56:30,000
Speaker 1: does not outweigh the fact that a large rattlesnake can

934
00:56:30,040 --> 00:56:33,600
Speaker 1: throw so so much more venom at you. The load

935
00:56:33,680 --> 00:56:37,960
Speaker 1: size is so different. Yep, hit me another one. How

936
00:56:38,000 --> 00:56:39,839
Speaker 1: many of you got right now? I got a few more?

937
00:56:40,440 --> 00:56:49,319
Speaker 1: Few more, Jimmy, get him, buddy. So another one is

938
00:56:49,400 --> 00:56:54,319
Speaker 1: that you can identify a buck versus a deal by

939
00:56:54,520 --> 00:56:58,279
Speaker 1: the scat. Yes, this is one. This is one you've heard.

940
00:56:58,680 --> 00:57:00,880
Speaker 1: I've heard that you can identify versus a doll with

941
00:57:00,920 --> 00:57:05,560
Speaker 1: the scat. But more than that, I've heard that, and

942
00:57:05,600 --> 00:57:09,640
Speaker 1: there is something to this that you can tell, uh

943
00:57:09,719 --> 00:57:13,160
Speaker 1: that there's a difference. You'll be all help me with

944
00:57:13,200 --> 00:57:16,720
Speaker 1: this winter scat summer scat. There's a difference, but it's

945
00:57:16,720 --> 00:57:19,760
Speaker 1: not actually that. It's just like whether they're eating brows

946
00:57:19,920 --> 00:57:23,440
Speaker 1: or green feet. Roll that into the whole thing we'll

947
00:57:23,440 --> 00:57:31,000
Speaker 1: talk about. Yeah, he's this one you've heard too, do you? Yeah?

948
00:57:31,040 --> 00:57:33,360
Speaker 1: I think so. I've heard it said sometimes between bowls

949
00:57:33,360 --> 00:57:37,920
Speaker 1: and cows, different one comes out like a big goab

950
00:57:38,120 --> 00:57:40,720
Speaker 1: and the other one comes out, uh, you know, in

951
00:57:40,840 --> 00:57:44,000
Speaker 1: pellets that they've been eating. Yeah, So that's that's the

952
00:57:44,040 --> 00:57:47,120
Speaker 1: widely believed thing is that, Um, a pile of sketch

953
00:57:47,200 --> 00:57:50,640
Speaker 1: that's in pellet form would be from a doll, whereas

954
00:57:50,760 --> 00:57:53,680
Speaker 1: a big pile of like lumpy scat would be from

955
00:57:53,680 --> 00:57:58,120
Speaker 1: a buck. Yeah. And I heard this from like one

956
00:57:58,160 --> 00:57:59,960
Speaker 1: of the smartest deer hunters I know, And he heard

957
00:58:00,000 --> 00:58:03,040
Speaker 1: it from his grandpa. Um, so that like he's been

958
00:58:03,120 --> 00:58:05,680
Speaker 1: walking around his whole life being like there's a buck scat. Yes,

959
00:58:05,840 --> 00:58:08,240
Speaker 1: he is as good of a white tail killer as

960
00:58:08,240 --> 00:58:10,240
Speaker 1: I know. Do you Okay, go on, because I want

961
00:58:10,240 --> 00:58:14,400
Speaker 1: to ask you if you believe in this in turkeys? Yes, Okay,

962
00:58:14,400 --> 00:58:16,960
Speaker 1: we'll go on. Okay. Um, So like that that was

963
00:58:17,000 --> 00:58:19,240
Speaker 1: ther can you tell let's just start, let's go, let's

964
00:58:19,240 --> 00:58:20,720
Speaker 1: clean it up. So we're making a mess out of this.

965
00:58:21,400 --> 00:58:27,080
Speaker 1: Can you tell a bus ship from a doze ship? No?

966
00:58:28,880 --> 00:58:32,840
Speaker 1: The reality is that when you have the pellet piles,

967
00:58:33,840 --> 00:58:36,960
Speaker 1: that is an indication of what they've been eating. So

968
00:58:37,000 --> 00:58:39,200
Speaker 1: when you have the pellet piles, that means they were

969
00:58:39,200 --> 00:58:46,960
Speaker 1: eating firmer foods, drier foods like leaves, twigs, rains. Um.

970
00:58:47,040 --> 00:58:50,840
Speaker 1: The lumpy piles of scat means that they're eating softer,

971
00:58:51,360 --> 00:58:56,120
Speaker 1: more moist foods like grasses, fruits, clover LFLFA. Where you're

972
00:58:56,120 --> 00:59:00,480
Speaker 1: on a fresh hay field, you're likely to find clumped up,

973
00:59:00,480 --> 00:59:03,440
Speaker 1: clumpy poops. It has nothing to do with the sex

974
00:59:03,480 --> 00:59:06,720
Speaker 1: of a deer. It's not that bucks and dolls have

975
00:59:06,840 --> 00:59:11,280
Speaker 1: different digestive tracks, so they're they're throwing out different scat.

976
00:59:11,840 --> 00:59:14,040
Speaker 1: And I'm also like, I want to be cautious when

977
00:59:14,040 --> 00:59:17,120
Speaker 1: I'm writing these that I'm not creating a scarecrow man

978
00:59:17,720 --> 00:59:21,960
Speaker 1: for some of these, meaning that I'm not like taking

979
00:59:22,080 --> 00:59:25,960
Speaker 1: something that isn't really widely believed and just like throwing

980
00:59:26,000 --> 00:59:27,920
Speaker 1: this out there so I can then and pretending that

981
00:59:27,960 --> 00:59:31,400
Speaker 1: it is believed. But this, this is one, This is

982
00:59:31,440 --> 00:59:32,960
Speaker 1: one that I was fearful of that it was like

983
00:59:33,000 --> 00:59:35,560
Speaker 1: making a scarecrow man. But like you feel like it's

984
00:59:35,560 --> 00:59:39,840
Speaker 1: not disgusted enough. I thought, maybe this one isn't actually

985
00:59:39,880 --> 00:59:42,120
Speaker 1: that widely believed, and it's just you're on a giant

986
00:59:42,160 --> 00:59:46,080
Speaker 1: bass right now. I don't know what. I'm just pulling

987
00:59:46,120 --> 00:59:53,480
Speaker 1: something up, but it's an old boot. Yeah, what do

988
00:59:54,120 --> 01:00:02,360
Speaker 1: we on the Oh no, just chunk weeds? Okay, tell

989
01:00:02,360 --> 01:00:04,480
Speaker 1: me about turkeys now? Well, it was so hold on,

990
01:00:04,880 --> 01:00:07,360
Speaker 1: so I wanted like, I was worried that this might

991
01:00:07,400 --> 01:00:09,120
Speaker 1: have been a case of that, that I was creating

992
01:00:09,120 --> 01:00:13,160
Speaker 1: a scarecrow man to like tear down with this. But man,

993
01:00:13,200 --> 01:00:15,320
Speaker 1: did people come out in the Facebook comments, Like we

994
01:00:15,360 --> 01:00:17,600
Speaker 1: had five hundred Facebook comments the first time this article

995
01:00:17,600 --> 01:00:22,919
Speaker 1: was posted saying like no, saying, you computer nerd, that's

996
01:00:22,960 --> 01:00:24,760
Speaker 1: not right. You need to spend more time in the

997
01:00:24,800 --> 01:00:29,600
Speaker 1: world computer. I know this is true. Um. And one

998
01:00:29,640 --> 01:00:32,280
Speaker 1: of the theories as to why this is true is

999
01:00:32,320 --> 01:00:35,680
Speaker 1: that a book spends more time in its bed, so

1000
01:00:35,720 --> 01:00:39,640
Speaker 1: then it has, uh, the crap building up in its system,

1001
01:00:39,880 --> 01:00:42,400
Speaker 1: like just comes out all lumpy were as do is

1002
01:00:42,520 --> 01:00:45,720
Speaker 1: they're just moving around all the time, so then their

1003
01:00:45,720 --> 01:00:50,440
Speaker 1: crap just comes out and just spraying out in pelletsbook comments, pellets.

1004
01:00:52,160 --> 01:00:54,880
Speaker 1: That was that was what many many people wanted. If

1005
01:00:54,880 --> 01:00:57,800
Speaker 1: you spend more time in the words, you know that's right. Yep.

1006
01:00:58,040 --> 01:01:03,280
Speaker 1: So so then afterwards I felt vindicated. That says something

1007
01:01:03,320 --> 01:01:06,680
Speaker 1: many many people believe. There's no scarecrow man. Yeah. And

1008
01:01:06,680 --> 01:01:09,800
Speaker 1: and before you like right into to Steve or me

1009
01:01:10,000 --> 01:01:13,520
Speaker 1: or whatever. Um, about half of those five comments were

1010
01:01:13,520 --> 01:01:16,680
Speaker 1: people saying that the only way to actually tell his taste,

1011
01:01:17,840 --> 01:01:20,240
Speaker 1: I heard that funny joke many many times, and it

1012
01:01:20,320 --> 01:01:23,560
Speaker 1: just wasn't funny anymore. So no need to to tell

1013
01:01:23,600 --> 01:01:27,400
Speaker 1: us that one again. I do believe maybe you should

1014
01:01:27,480 --> 01:01:31,720
Speaker 1: check into this. I'm a firm believer from my experiences

1015
01:01:32,640 --> 01:01:37,920
Speaker 1: that I can smell the difference between uh not not

1016
01:01:38,200 --> 01:01:45,160
Speaker 1: dozen bucks, but bowl and cow urine. Oh I buy that.

1017
01:01:45,720 --> 01:01:48,040
Speaker 1: I feel like when you can when even in the woods,

1018
01:01:48,080 --> 01:01:50,439
Speaker 1: you when you smell elk, you can smell a bowl

1019
01:01:50,600 --> 01:01:54,040
Speaker 1: or you can smell cows. Yeah, I don't. Sometimes I

1020
01:01:54,040 --> 01:01:55,880
Speaker 1: want to. I want to think that the bulls urine

1021
01:01:55,960 --> 01:01:59,280
Speaker 1: is browner and more concentrated. For I just missed one.

1022
01:01:59,640 --> 01:02:06,080
Speaker 1: I thought you had a like ex talking about your Yeah. No,

1023
01:02:07,920 --> 01:02:11,000
Speaker 1: I really do believe that I can buy that one,

1024
01:02:11,320 --> 01:02:14,560
Speaker 1: especially during the right of your kan you guys around

1025
01:02:14,560 --> 01:02:24,240
Speaker 1: each other, Hold on, ye look at look at that fish.

1026
01:02:24,520 --> 01:02:28,360
Speaker 1: Fish ate both jigs. I've never seen that. You know

1027
01:02:28,400 --> 01:02:35,120
Speaker 1: what he's coming on? Shar truss twice. Wow, okay, crimpole,

1028
01:02:36,440 --> 01:02:40,680
Speaker 1: what a gluttonous fish. Till you drag down, you got

1029
01:02:40,680 --> 01:02:45,880
Speaker 1: a whole mess. Crank crank crank, crank, crank crank. Oh

1030
01:02:45,920 --> 01:02:51,480
Speaker 1: that's your line. Stop. Yeah, okay, you're good man. That

1031
01:02:51,560 --> 01:02:57,840
Speaker 1: means someone is not fishing well because that fish had

1032
01:02:57,880 --> 01:03:06,720
Speaker 1: to move a long ways undetected. I'm not um, you

1033
01:03:06,760 --> 01:03:09,280
Speaker 1: know two things at the same time. I'm focusing on

1034
01:03:09,400 --> 01:03:14,720
Speaker 1: Spencer with Spencer Spencer's backup. Now, man, that was fun sot.

1035
01:03:14,880 --> 01:03:20,040
Speaker 1: Another one that I covered was does gutting a critter? Oh?

1036
01:03:20,440 --> 01:03:22,400
Speaker 1: I went back, Are you gonna fact check? Is your

1037
01:03:22,400 --> 01:03:24,880
Speaker 1: next fact checker gonna be called Kenyans tell a bulls

1038
01:03:24,880 --> 01:03:27,600
Speaker 1: pists McCall's pip. We can do that. We can try

1039
01:03:27,680 --> 01:03:31,880
Speaker 1: Johnnie all right. And then the Turkey thing. But I

1040
01:03:32,040 --> 01:03:39,000
Speaker 1: know it to be true that a hen Turkey has

1041
01:03:39,000 --> 01:03:44,640
Speaker 1: a different ship than Tom. Yeah, Tom fills a jay

1042
01:03:44,680 --> 01:03:48,960
Speaker 1: hook ship. You know why because something about how it's

1043
01:03:48,960 --> 01:03:51,800
Speaker 1: something to do with the shape of the cloaca and

1044
01:03:51,880 --> 01:03:54,640
Speaker 1: like the reproductive organs and whatnot. And a hen has

1045
01:03:54,680 --> 01:03:57,960
Speaker 1: a little squirt in a in a gobbler throws a

1046
01:03:58,040 --> 01:04:01,400
Speaker 1: jay hook turd. You buy that? Check that. I do

1047
01:04:01,520 --> 01:04:04,680
Speaker 1: buy that, But I should fact check just because I need.

1048
01:04:04,720 --> 01:04:07,360
Speaker 1: I can't always be like, Nope, this isn't true. Your

1049
01:04:07,440 --> 01:04:10,640
Speaker 1: dad was wrong because this one who could be like, yeah, yeah,

1050
01:04:10,760 --> 01:04:13,760
Speaker 1: throw that in your fact checker. Your hunting mancher was correct.

1051
01:04:13,520 --> 01:04:15,640
Speaker 1: You throw that in your fact checker. I got them

1052
01:04:15,640 --> 01:04:19,360
Speaker 1: all day long for you man. One another one is

1053
01:04:19,400 --> 01:04:22,240
Speaker 1: the truth if your heart shot a skunk, you won't spray.

1054
01:04:23,760 --> 01:04:25,880
Speaker 1: Is that widely understand Phil? You know you do? You

1055
01:04:26,120 --> 01:04:28,960
Speaker 1: understand that to be true. It's the first I've heard

1056
01:04:28,960 --> 01:04:32,760
Speaker 1: of it. I gotta admit. Another one I wrote that

1057
01:04:33,240 --> 01:04:37,680
Speaker 1: was inspired by you was does gutting something make your

1058
01:04:37,720 --> 01:04:42,080
Speaker 1: farts smell like guts? Now, yes, people listen, not inspired

1059
01:04:42,120 --> 01:04:46,000
Speaker 1: by me, not inspired by somebody inspired to you. It's

1060
01:04:46,040 --> 01:04:50,600
Speaker 1: a very people are ready to fight over this. This

1061
01:04:50,720 --> 01:04:55,680
Speaker 1: issue almost caused when we're doing live podcasts, it almost

1062
01:04:55,680 --> 01:05:00,440
Speaker 1: caused a riot in the audience when I said, I know,

1063
01:05:01,600 --> 01:05:06,640
Speaker 1: people know that there's rabbit farts, dark farts. That's a drink.

1064
01:05:06,680 --> 01:05:10,120
Speaker 1: Actually it's pretty good dice drink um. Yeah, that you

1065
01:05:10,240 --> 01:05:15,880
Speaker 1: got something and then later you will pass gas. Okay,

1066
01:05:16,240 --> 01:05:19,000
Speaker 1: let's let's hear the scientific answer, because well I'm trying

1067
01:05:19,000 --> 01:05:21,200
Speaker 1: to lay out with the theory. That's good, you know, Yeah,

1068
01:05:21,240 --> 01:05:23,680
Speaker 1: I'm glad. I just all those people that want to

1069
01:05:23,720 --> 01:05:27,560
Speaker 1: fight about this, I just they're a little childish. So

1070
01:05:27,640 --> 01:05:29,880
Speaker 1: I want to do some like, uh, some polling for this.

1071
01:05:29,960 --> 01:05:31,480
Speaker 1: I reach out to ten and my buddies that to

1072
01:05:31,480 --> 01:05:33,880
Speaker 1: the biggest hunters I know. And I asked him if

1073
01:05:33,960 --> 01:05:40,680
Speaker 1: this experienced me, how could that be true? Besides you guys? Okay,

1074
01:05:40,800 --> 01:05:44,640
Speaker 1: who do you? Six of the ten of them said

1075
01:05:44,680 --> 01:05:47,120
Speaker 1: it happens to them. Why do you ask me? Because

1076
01:05:47,160 --> 01:05:49,360
Speaker 1: you texted me about this, So I assumed that you

1077
01:05:49,400 --> 01:05:53,160
Speaker 1: were like confirming this is something that happens to you. No,

1078
01:05:53,960 --> 01:05:57,960
Speaker 1: I think this happens. Okay, why don't you ask Johanni?

1079
01:05:59,160 --> 01:06:02,920
Speaker 1: I assumed Yanni like sitting there dialing up all the

1080
01:06:02,960 --> 01:06:07,960
Speaker 1: people and never talked. I can add you to the polling.

1081
01:06:08,080 --> 01:06:10,480
Speaker 1: So now it's six out of eleven yannies, this happened

1082
01:06:10,520 --> 01:06:14,240
Speaker 1: to you. No, No, okay, six and twelve, six of

1083
01:06:14,280 --> 01:06:17,840
Speaker 1: the twelve biggest hunters. You're you're you know that that's

1084
01:06:17,840 --> 01:06:23,080
Speaker 1: a very statistically significant change. Yeah, yeah, it's so six

1085
01:06:23,160 --> 01:06:26,040
Speaker 1: or twelve said it happened to them. Um. A few

1086
01:06:26,120 --> 01:06:30,440
Speaker 1: of them specifically said that like birds are the worst,

1087
01:06:30,920 --> 01:06:35,760
Speaker 1: like ducks and pheasants they create the worst gut farts

1088
01:06:35,880 --> 01:06:40,480
Speaker 1: later ontarts. I then, uh found a forum that had

1089
01:06:40,520 --> 01:06:43,400
Speaker 1: discussed this a handful of years ago, and it had

1090
01:06:43,440 --> 01:06:47,200
Speaker 1: over a hundred responses The question was, does gutting a

1091
01:06:47,320 --> 01:06:50,640
Speaker 1: bird then make your farts smell like guts? This had

1092
01:06:50,840 --> 01:06:57,680
Speaker 1: a hundred responses to it said that it happened to them.

1093
01:06:59,000 --> 01:07:03,560
Speaker 1: Hold up, no, crane, you don't got a lot of things. No,

1094
01:07:03,800 --> 01:07:07,560
Speaker 1: I don't. Is this um? As you're hearing this, are

1095
01:07:07,600 --> 01:07:12,200
Speaker 1: you thinking like no? It sounds like complete and utter nonsense.

1096
01:07:13,320 --> 01:07:16,840
Speaker 1: I mean, what do you like? The guts of an

1097
01:07:16,880 --> 01:07:22,200
Speaker 1: animal release into the air and your skin pours, suck

1098
01:07:22,360 --> 01:07:30,560
Speaker 1: that into your system and then into yeah, into your intestines,

1099
01:07:31,000 --> 01:07:34,080
Speaker 1: into air pockets and your intestines and turns into flask

1100
01:07:34,200 --> 01:07:38,439
Speaker 1: can be explained. But we know it's true, don't you know? Yes,

1101
01:07:38,520 --> 01:07:41,720
Speaker 1: that's what happens. So now Spencer give you his bogus explanation.

1102
01:07:42,360 --> 01:07:47,120
Speaker 1: So the answer is this foolish explanation for this? The

1103
01:07:47,160 --> 01:07:52,040
Speaker 1: answer is no, what gutting something does not then make

1104
01:07:52,160 --> 01:07:55,240
Speaker 1: your guess here's my problem, here's my problem with this?

1105
01:07:57,880 --> 01:08:04,160
Speaker 1: How is this? Who's researching this me? Maybe maybe it's

1106
01:08:04,200 --> 01:08:07,160
Speaker 1: like there's some kind of smell or something something that's

1107
01:08:07,200 --> 01:08:10,200
Speaker 1: released into the air that is like stuck in your

1108
01:08:10,280 --> 01:08:22,320
Speaker 1: old factory system and then can't forget. Yeah, she's saying

1109
01:08:22,360 --> 01:08:25,960
Speaker 1: that it's stuck in your old factory. And then later

1110
01:08:26,240 --> 01:08:30,280
Speaker 1: you your buddy's fart because it's in there, you smell

1111
01:08:30,320 --> 01:08:33,679
Speaker 1: it and you go, oh, doesn't have that's what I mean.

1112
01:08:34,320 --> 01:08:37,280
Speaker 1: Picture okay, picture, that's picture. There's a half dozen guys.

1113
01:08:37,080 --> 01:08:40,080
Speaker 1: The half dozen even people hanging out that guys, just

1114
01:08:40,400 --> 01:08:44,080
Speaker 1: men and women mixed. Yeah, they both far men. It

1115
01:08:44,200 --> 01:08:46,320
Speaker 1: was a large group. Five of them. The day before

1116
01:08:46,320 --> 01:08:52,040
Speaker 1: I have been gutting rabbits. Okay. The sixth was else

1117
01:08:52,080 --> 01:08:54,439
Speaker 1: that they couldn't go. But now they're here at this

1118
01:08:54,600 --> 01:09:00,400
Speaker 1: they're here drinking beer. Okay. Now the five who were

1119
01:09:00,400 --> 01:09:07,360
Speaker 1: gutting rabbits, their flatulence will resemble the smell of the rabbits.

1120
01:09:08,040 --> 01:09:13,519
Speaker 1: If it's trapped fart partners stuck in your nose that

1121
01:09:13,560 --> 01:09:17,479
Speaker 1: are then liberated by farts, then that would be a

1122
01:09:17,479 --> 01:09:19,519
Speaker 1: way to I don't know, you see I'm getting in.

1123
01:09:19,560 --> 01:09:22,320
Speaker 1: That'd be a way to test it because they don't

1124
01:09:22,439 --> 01:09:26,160
Speaker 1: have those particles stuck in their nose. The sixth person, Yeah,

1125
01:09:26,280 --> 01:09:29,559
Speaker 1: so a fart would enter their nose. They would say, no,

1126
01:09:29,640 --> 01:09:34,200
Speaker 1: that just sounds like a normal fart. That just smells

1127
01:09:34,240 --> 01:09:40,320
Speaker 1: like all of mine. Okay, we go on. Um, so

1128
01:09:40,439 --> 01:09:42,720
Speaker 1: you texted me about this at the end of October.

1129
01:09:43,720 --> 01:09:48,120
Speaker 1: You want to clarify a point. Yeah, I texted you

1130
01:09:48,200 --> 01:09:50,840
Speaker 1: this would be a good thing to look into. No, no,

1131
01:09:51,600 --> 01:09:53,920
Speaker 1: I know, so you text me at this the end

1132
01:09:53,920 --> 01:09:56,920
Speaker 1: of the end of October. Um, I had killed a

1133
01:09:56,960 --> 01:09:59,640
Speaker 1: deer that weekend and this, this has never happened to

1134
01:09:59,680 --> 01:10:02,479
Speaker 1: me before you texted me about this. I then had

1135
01:10:02,520 --> 01:10:05,479
Speaker 1: a bottle movement later that day and it smelled like

1136
01:10:05,560 --> 01:10:08,439
Speaker 1: the mule deer guts. So at that moment I knew,

1137
01:10:08,479 --> 01:10:12,280
Speaker 1: I'm like, this is because Steve just brought this to

1138
01:10:12,320 --> 01:10:16,320
Speaker 1: my attention. We had a bottle movement, and then that

1139
01:10:16,360 --> 01:10:19,559
Speaker 1: it never happened to me before where it smelled like that.

1140
01:10:19,920 --> 01:10:22,519
Speaker 1: It really could have been psychosmatic. So then the real

1141
01:10:22,600 --> 01:10:25,160
Speaker 1: reason did you use that word often? Those two words

1142
01:10:25,200 --> 01:10:29,040
Speaker 1: bottle movement? No, Now, I thought, for your listeners, I

1143
01:10:29,080 --> 01:10:35,280
Speaker 1: appreciate the best young years here, Jimmy um. So, the

1144
01:10:35,280 --> 01:10:39,000
Speaker 1: farts are composed of swallowed air and then a cocktail

1145
01:10:39,000 --> 01:10:43,559
Speaker 1: of gases like carbon dioxide, hydrogen and other trace gases.

1146
01:10:43,800 --> 01:10:46,280
Speaker 1: So this is gonna be a reality. I had two theories.

1147
01:10:46,800 --> 01:10:48,360
Speaker 1: It has a lot of nice fish. Get them up,

1148
01:10:48,360 --> 01:10:51,400
Speaker 1: Get them up, Get them up up Jimmy's on one

1149
01:10:51,439 --> 01:10:57,840
Speaker 1: two doubleheader. Get oh, got him high five Jimmy. Okay, So,

1150
01:10:58,200 --> 01:11:03,120
Speaker 1: so flatulence is composed of swallowed air. Swallowed air, not

1151
01:11:03,320 --> 01:11:08,519
Speaker 1: a mix of noxious gases. Yepkin, give yourself some slack.

1152
01:11:08,600 --> 01:11:11,960
Speaker 1: You're gonna poke yourself. And then what else? Just open

1153
01:11:12,040 --> 01:11:17,360
Speaker 1: the bail, just like a cocktail of gases and swallowed air. Um. So,

1154
01:11:17,520 --> 01:11:19,560
Speaker 1: with that, my theory was then that this could be

1155
01:11:19,640 --> 01:11:22,800
Speaker 1: to be like a transurnal thing where you're handling the

1156
01:11:22,880 --> 01:11:26,360
Speaker 1: guts a whole bunch and somehow it like seeps through

1157
01:11:26,439 --> 01:11:30,160
Speaker 1: your skin. It's just so powerful that it then affects

1158
01:11:30,439 --> 01:11:33,400
Speaker 1: your gas. That that could be one thing or another

1159
01:11:33,479 --> 01:11:36,120
Speaker 1: thing is that you're huffing these fumes so much while

1160
01:11:36,160 --> 01:11:39,600
Speaker 1: you're gutting an animal that because they're swallowed air, that

1161
01:11:39,720 --> 01:11:45,960
Speaker 1: creates your farts. That like the smelly air is then

1162
01:11:46,400 --> 01:11:51,320
Speaker 1: changing how your fart smell. Yeah. Yeah, those are the

1163
01:11:51,400 --> 01:11:55,280
Speaker 1: two things that Okay, what else? What else? So I

1164
01:11:55,320 --> 01:11:58,879
Speaker 1: reach out to Dr Alan Lazzara been on the podcast

1165
01:11:58,960 --> 01:12:05,000
Speaker 1: before um and he said firmly no, and he said,

1166
01:12:05,040 --> 01:12:11,000
Speaker 1: what's happening here is described as dejah puh um so

1167
01:12:11,520 --> 01:12:14,720
Speaker 1: and he said it's not. My favorite part of it

1168
01:12:14,800 --> 01:12:18,160
Speaker 1: was deja. Yeah, it's not one explain, but it's one

1169
01:12:18,200 --> 01:12:22,759
Speaker 1: of two things going on. Either remnant gut pile particles

1170
01:12:22,840 --> 01:12:25,599
Speaker 1: are resting on your nose, hair, your mustache, your beard,

1171
01:12:25,720 --> 01:12:28,800
Speaker 1: your hands, whatever, I mean, they're liberated by someone else's fart.

1172
01:12:31,280 --> 01:12:33,200
Speaker 1: I don't think that that doesn't make any sense, so

1173
01:12:33,360 --> 01:12:38,760
Speaker 1: that that could be one of Another is that the

1174
01:12:38,920 --> 01:12:42,360
Speaker 1: memory of game gut order is triggered in the hippocampus

1175
01:12:42,479 --> 01:12:47,120
Speaker 1: and mammillary bodies after smelling another similar smelling fart down

1176
01:12:47,160 --> 01:12:50,639
Speaker 1: the line, and his quote was that old factory signals,

1177
01:12:51,000 --> 01:12:54,240
Speaker 1: which control our sense of smell, go through the hippocampus

1178
01:12:54,400 --> 01:12:58,759
Speaker 1: and mamillary bodies, which are integral to memory formation and recall.

1179
01:12:59,880 --> 01:13:03,160
Speaker 1: So what's similar to like if you smell banana bread

1180
01:13:03,439 --> 01:13:06,439
Speaker 1: and it makes you think of your mom. It's like

1181
01:13:06,560 --> 01:13:08,840
Speaker 1: that your your memory and you're such a smell are

1182
01:13:09,040 --> 01:13:11,400
Speaker 1: very very closely linked. Like if I had a bunch

1183
01:13:11,439 --> 01:13:13,679
Speaker 1: of rotten eggs, So you had a bunch of rotten

1184
01:13:13,720 --> 01:13:17,439
Speaker 1: eggs soul free, then another a couple days later, someone

1185
01:13:17,560 --> 01:13:23,120
Speaker 1: rips one and you're like, right, yeah, because they're just

1186
01:13:23,320 --> 01:13:28,960
Speaker 1: you're just remembering how nasty those rotten eggs were so dejapu.

1187
01:13:30,960 --> 01:13:33,760
Speaker 1: And when we posted this one on Facebook, there were

1188
01:13:33,960 --> 01:13:36,559
Speaker 1: many many people that volunteered to have me smell their

1189
01:13:36,600 --> 01:13:41,600
Speaker 1: farts so then I would know that this is in

1190
01:13:41,760 --> 01:13:44,400
Speaker 1: fact what happens. There are also many people that volunteered

1191
01:13:44,439 --> 01:13:50,200
Speaker 1: their wives to uh confirm that their husband's gas smells

1192
01:13:50,320 --> 01:13:55,880
Speaker 1: like rabbit farts or parts. Yeah, it's the same people

1193
01:13:55,920 --> 01:14:00,920
Speaker 1: who told you to eat the same people, so uh

1194
01:14:01,439 --> 01:14:06,120
Speaker 1: many volunteers. People wrote in to say, go ask my wife, yes,

1195
01:14:06,400 --> 01:14:09,439
Speaker 1: my flagelen smells like a rabbit. That I got it.

1196
01:14:10,960 --> 01:14:13,560
Speaker 1: Was she there for the gutting? I would assume not.

1197
01:14:14,720 --> 01:14:17,680
Speaker 1: And that's that's why they felt so strongly that when

1198
01:14:17,720 --> 01:14:22,280
Speaker 1: their wives could confirm that mid November their husband's farts

1199
01:14:23,080 --> 01:14:28,000
Speaker 1: just smell dank like deer guts, that this has to

1200
01:14:28,040 --> 01:14:32,240
Speaker 1: be what's happening. You know. I want to say that

1201
01:14:32,320 --> 01:14:33,920
Speaker 1: you put a nail in the coffin on this one,

1202
01:14:33,960 --> 01:14:35,280
Speaker 1: but I can't say that you put a nail on

1203
01:14:35,280 --> 01:14:37,000
Speaker 1: the coff I think there's a lot unanswered, there's a

1204
01:14:37,000 --> 01:14:40,000
Speaker 1: lot of unanswered questions. I feel pretty confident that it's

1205
01:14:40,040 --> 01:14:42,920
Speaker 1: in your head, no doubt. I don't have this problem.

1206
01:14:43,600 --> 01:14:45,760
Speaker 1: I think that my nose, my nose isn't hairy enough

1207
01:14:45,800 --> 01:14:48,360
Speaker 1: to hold the old particles that are liberated can hit me.

1208
01:14:48,400 --> 01:14:54,720
Speaker 1: Another one is looking at if the Farmer's Almanac is accurate. Yeah,

1209
01:14:54,840 --> 01:14:58,360
Speaker 1: are there's still holdouts to think that it is. They

1210
01:14:58,560 --> 01:15:02,160
Speaker 1: there's multiple of these. There's the Old Farmers Almanac and

1211
01:15:02,560 --> 01:15:05,760
Speaker 1: the Farmers Almanac, both of which have sold tens of

1212
01:15:05,800 --> 01:15:08,519
Speaker 1: millions of copies. Like these are still very very popular.

1213
01:15:08,640 --> 01:15:12,000
Speaker 1: Puts this out the Farmers Almanac and the Old Farmers Almanac.

1214
01:15:12,160 --> 01:15:14,360
Speaker 1: So it's like that's like the name of the their

1215
01:15:14,400 --> 01:15:17,400
Speaker 1: separate publications, but they both kind of dabble in the

1216
01:15:17,439 --> 01:15:20,599
Speaker 1: same thing, the Farmer's Almanac and the Old Farmer's Almanac.

1217
01:15:21,479 --> 01:15:23,320
Speaker 1: Imagine a lot of people are like, well, I'll take

1218
01:15:23,320 --> 01:15:27,200
Speaker 1: the old one. So like, what's your familiarity with the

1219
01:15:27,280 --> 01:15:31,320
Speaker 1: Farmer's Almanac. I've never read one. My familiarity we would

1220
01:15:31,320 --> 01:15:35,120
Speaker 1: always have them when I was young, and my familiarity

1221
01:15:35,640 --> 01:15:38,680
Speaker 1: let me let me I'll speak to it this way. Uh,

1222
01:15:40,200 --> 01:15:42,800
Speaker 1: Like like growing up, people would have a thing like

1223
01:15:44,040 --> 01:15:47,160
Speaker 1: an attitude about the Farmer's Almanac was kind of like, uh,

1224
01:15:47,280 --> 01:15:49,640
Speaker 1: you can argue all you want, and I don't know

1225
01:15:49,840 --> 01:15:55,960
Speaker 1: how they do what they do, but right yeah, yeah,

1226
01:15:56,040 --> 01:15:58,960
Speaker 1: like like they would defend it and then and they'd

1227
01:15:59,000 --> 01:16:02,000
Speaker 1: be like, well, I I can't it's beyond explanation. I

1228
01:16:02,080 --> 01:16:04,960
Speaker 1: don't know, but it's just always something to it. And

1229
01:16:05,040 --> 01:16:09,720
Speaker 1: they just like exist in grocery store checkout aisles where

1230
01:16:09,800 --> 01:16:11,320
Speaker 1: you pick one up and thumps through it. Yeah, you

1231
01:16:11,320 --> 01:16:13,160
Speaker 1: can buy like a bunch of stupid stuff about celebrities.

1232
01:16:13,200 --> 01:16:15,040
Speaker 1: They can buy the farmers are yeah yeah, and like

1233
01:16:15,160 --> 01:16:17,360
Speaker 1: when they come out, um, this is still a thing

1234
01:16:17,479 --> 01:16:20,840
Speaker 1: that news stations cover them and say the Farmer's Almanactor

1235
01:16:20,840 --> 01:16:23,040
Speaker 1: just came out and we are in for a long

1236
01:16:23,560 --> 01:16:26,400
Speaker 1: wet winter or whatever. And I think that was the

1237
01:16:26,439 --> 01:16:28,400
Speaker 1: example that that was used this year, that this is

1238
01:16:28,439 --> 01:16:31,920
Speaker 1: going to be a really rough winter. So I wanted

1239
01:16:31,960 --> 01:16:35,320
Speaker 1: to look in because I liked these things, um like

1240
01:16:35,400 --> 01:16:36,800
Speaker 1: I took value in them when I was a kid.

1241
01:16:37,240 --> 01:16:40,160
Speaker 1: Uh if my grandfather would say something about the Farmer's

1242
01:16:40,200 --> 01:16:44,240
Speaker 1: Almanact that they had next to the toilet, about oh man,

1243
01:16:44,320 --> 01:16:45,840
Speaker 1: there's gonna be a lot of ice for ice fishing

1244
01:16:45,880 --> 01:16:49,080
Speaker 1: this year, or shoot those slews you're gonna freeze out

1245
01:16:49,280 --> 01:16:51,200
Speaker 1: because of how nasty of a winter it's gonna be.

1246
01:16:51,960 --> 01:16:54,760
Speaker 1: So that's how it related to me as an outdoors man.

1247
01:16:54,960 --> 01:16:56,519
Speaker 1: But they also have a tons of other stuff and

1248
01:16:56,560 --> 01:16:59,160
Speaker 1: they're like when you should plant your tomatoes, how to

1249
01:16:59,439 --> 01:17:03,680
Speaker 1: heal mosquito bites, stuff like that. But they're big thing

1250
01:17:04,360 --> 01:17:08,160
Speaker 1: are these super long range forecasts about what the year's

1251
01:17:08,200 --> 01:17:10,080
Speaker 1: weather is going to be. Like, Yeah, it's kind of

1252
01:17:10,240 --> 01:17:12,680
Speaker 1: the same. I feel like like the go for the

1253
01:17:12,720 --> 01:17:16,920
Speaker 1: groundhog that comes out. Ye. So both of these publications

1254
01:17:17,000 --> 01:17:20,400
Speaker 1: started in the late seventeen hundreds and early eighteen hundreds,

1255
01:17:21,120 --> 01:17:23,800
Speaker 1: and they won't give up what their formula is how

1256
01:17:23,920 --> 01:17:27,880
Speaker 1: they come up with what the weather is going to

1257
01:17:28,000 --> 01:17:31,320
Speaker 1: be eight months from now, but they will say that

1258
01:17:31,479 --> 01:17:36,240
Speaker 1: it's an exclusive mathematical and astronomical formula that relies on

1259
01:17:36,400 --> 01:17:41,360
Speaker 1: sunspot activity, title action, planetary position, and many other factors.

1260
01:17:42,600 --> 01:17:44,760
Speaker 1: So I didn't know they even made a I didn't

1261
01:17:44,800 --> 01:17:46,840
Speaker 1: know they even went that far. They don't want to

1262
01:17:46,840 --> 01:17:48,800
Speaker 1: give you the whole formula, but a little bit of

1263
01:17:48,960 --> 01:17:53,120
Speaker 1: proprietary right. The Farmer's Almanac actually claims to be a

1264
01:17:53,240 --> 01:17:55,800
Speaker 1: d to eighty five percent accurate each year. That's from

1265
01:17:55,840 --> 01:17:59,280
Speaker 1: their own editors and publishers. That's their number is that

1266
01:17:59,360 --> 01:18:02,519
Speaker 1: they're there for procasts are that accurate? And how these

1267
01:18:02,600 --> 01:18:07,200
Speaker 1: really came into popularity, UM was in what year was

1268
01:18:07,280 --> 01:18:12,240
Speaker 1: it eighteen sixteen, they inadvertently but correctly predicted that there

1269
01:18:12,320 --> 01:18:15,720
Speaker 1: was going to be snow in July. And what it

1270
01:18:15,800 --> 01:18:19,240
Speaker 1: happened was there was a volcano in Indonesia that exploded

1271
01:18:19,680 --> 01:18:24,160
Speaker 1: and it caused a summer that had like rain, sleet

1272
01:18:24,280 --> 01:18:29,959
Speaker 1: and snow. So they correctly predicted, uh, this weather forecast

1273
01:18:30,040 --> 01:18:33,080
Speaker 1: that was determined by a volcano, and leveraged that into

1274
01:18:33,680 --> 01:18:36,160
Speaker 1: hundreds of years of misinformation and they said, look at this,

1275
01:18:36,760 --> 01:18:38,960
Speaker 1: and then it just became a thing that oh, they

1276
01:18:39,080 --> 01:18:41,680
Speaker 1: they are onto something here. So that was when it

1277
01:18:42,200 --> 01:18:46,880
Speaker 1: how it gained popularity in the early So I reached

1278
01:18:46,880 --> 01:18:49,920
Speaker 1: out some actual meteorologists to ask him about this. You

1279
01:18:50,000 --> 01:18:52,320
Speaker 1: can I ask you a quick question. Has it been

1280
01:18:52,400 --> 01:18:56,679
Speaker 1: owned by a family or the same company switched hands

1281
01:18:56,800 --> 01:19:00,160
Speaker 1: many times years that that I'm not sure. I'm not

1282
01:19:00,240 --> 01:19:05,960
Speaker 1: sure about so actual meteorologists they are in agreement that

1283
01:19:06,600 --> 01:19:10,000
Speaker 1: this is not accurate at all. Uh. The one that

1284
01:19:10,240 --> 01:19:13,040
Speaker 1: is difficult enough to do a five day forecast like,

1285
01:19:13,200 --> 01:19:15,880
Speaker 1: let alone a six month forecast or an eight month

1286
01:19:15,920 --> 01:19:20,160
Speaker 1: forecast or even a ten day forecast. So it's just

1287
01:19:20,320 --> 01:19:23,479
Speaker 1: not that easy um to pull off. And when it

1288
01:19:23,560 --> 01:19:27,400
Speaker 1: comes to those secret formulas like solar activity, whether experts

1289
01:19:27,439 --> 01:19:31,040
Speaker 1: point out that there's no scientific backing for those methods

1290
01:19:31,080 --> 01:19:35,160
Speaker 1: at all. There's no scientific backing for translating sun spots

1291
01:19:35,200 --> 01:19:38,840
Speaker 1: on the weather. Yep, that's not something that modern day

1292
01:19:39,200 --> 01:19:43,320
Speaker 1: meteorologists use it all. And like, the simplest way to

1293
01:19:43,400 --> 01:19:49,160
Speaker 1: put this is that these almanacs are to meteorology as

1294
01:19:49,200 --> 01:19:55,400
Speaker 1: to what astrology is to astronomy. So they're creating these

1295
01:19:55,439 --> 01:19:58,840
Speaker 1: horoscopes that are just bagging off and broad enough that

1296
01:19:59,080 --> 01:20:03,000
Speaker 1: they could be applied almost anything with some amount of accuracy.

1297
01:20:04,400 --> 01:20:06,479
Speaker 1: My wife just went to a tarot card reader and

1298
01:20:06,560 --> 01:20:10,400
Speaker 1: boy was he off about a couple of things, including

1299
01:20:10,439 --> 01:20:13,920
Speaker 1: that she was single. She didn't have every wedding ring

1300
01:20:14,000 --> 01:20:17,400
Speaker 1: on that day. He's laying the groundwork you're single. It's like, no,

1301
01:20:18,120 --> 01:20:22,320
Speaker 1: I'm married and I have three children. Yeah, same kind

1302
01:20:22,360 --> 01:20:26,400
Speaker 1: of suitor science. So did they did they come in

1303
01:20:26,520 --> 01:20:29,880
Speaker 1: with like is there sort of how right are they? Well,

1304
01:20:30,439 --> 01:20:32,360
Speaker 1: like the numbers that are out there as far as

1305
01:20:32,439 --> 01:20:36,280
Speaker 1: them being a dent accurate, that's internally, that's their own numbers.

1306
01:20:36,560 --> 01:20:38,840
Speaker 1: So they can say whatever they want. Like I said,

1307
01:20:38,880 --> 01:20:40,880
Speaker 1: it's just vague off that it could apply to any

1308
01:20:41,479 --> 01:20:45,320
Speaker 1: winter that we ever have. Yeah, we have a book

1309
01:20:45,320 --> 01:20:46,840
Speaker 1: where you can look up your birthday and that tells

1310
01:20:46,880 --> 01:20:50,960
Speaker 1: you about you. Um, it's kind of like a it's

1311
01:20:51,000 --> 01:20:53,759
Speaker 1: like astrology, but a little bit different too. Been every

1312
01:20:53,800 --> 01:20:59,280
Speaker 1: description someone reads, everyone's like if you confuse it, like

1313
01:20:59,520 --> 01:21:01,080
Speaker 1: when it's your birthday and you read it, like, oh

1314
01:21:01,160 --> 01:21:03,880
Speaker 1: my gosh, They're like a lot of times you're a

1315
01:21:03,880 --> 01:21:07,200
Speaker 1: pretty nice guy, but sometimes you're not a nice guy.

1316
01:21:07,800 --> 01:21:11,880
Speaker 1: And I'm like, dude, how they know? But then like

1317
01:21:12,040 --> 01:21:14,080
Speaker 1: you can trick people and on their birthday read them

1318
01:21:14,120 --> 01:21:17,680
Speaker 1: some different birthday and thinking like oh my god, just

1319
01:21:17,800 --> 01:21:19,360
Speaker 1: like a lot of times you have good luck, but

1320
01:21:19,479 --> 01:21:25,760
Speaker 1: sometimes you have bad luck. You're a good friend, but

1321
01:21:25,800 --> 01:21:27,880
Speaker 1: when you've had enough, you've had enough, and people like,

1322
01:21:28,000 --> 01:21:33,439
Speaker 1: oh my god, it's meat that hits home. So what's uh,

1323
01:21:33,920 --> 01:21:36,599
Speaker 1: what's the next for fact checker? I don't know what's

1324
01:21:36,600 --> 01:21:38,360
Speaker 1: the one you want to do? What you're scared to do.

1325
01:21:40,680 --> 01:21:43,800
Speaker 1: Besides that, there is a good example of one that

1326
01:21:43,920 --> 01:21:45,640
Speaker 1: I like, I would love to know the answer to you.

1327
01:21:45,960 --> 01:21:50,160
Speaker 1: But when I've looked into it, I've just never came

1328
01:21:50,160 --> 01:21:53,840
Speaker 1: away confident that I could like report on this well

1329
01:21:54,120 --> 01:21:57,000
Speaker 1: and say one way or the other that this is

1330
01:21:57,040 --> 01:22:00,840
Speaker 1: a fact or fiction that being does a rutting buck

1331
01:22:00,920 --> 01:22:05,280
Speaker 1: taste worse? M? Like, can you taste the rut in

1332
01:22:05,400 --> 01:22:09,040
Speaker 1: a buck? Yeah? And that's that's one of the things

1333
01:22:09,120 --> 01:22:12,600
Speaker 1: that make this makes as hard as like, uh, what

1334
01:22:12,840 --> 01:22:14,400
Speaker 1: is a rutting buck? Like, how do you define a

1335
01:22:14,479 --> 01:22:16,840
Speaker 1: rutting book? Is it only is it only in that

1336
01:22:17,000 --> 01:22:19,679
Speaker 1: week where they're breeding? Or is it a buck killed

1337
01:22:19,720 --> 01:22:23,479
Speaker 1: in mid October or early December? Um? And yeah, it

1338
01:22:23,680 --> 01:22:28,439
Speaker 1: doesn't make it taste worse, doesn't make it taste different. Um.

1339
01:22:29,080 --> 01:22:31,760
Speaker 1: All those things like kind of make that a difficult

1340
01:22:31,880 --> 01:22:34,479
Speaker 1: one to tackle. And when I did start looking into this,

1341
01:22:35,040 --> 01:22:39,760
Speaker 1: I got into like the beef industry where when these

1342
01:22:39,840 --> 01:22:44,680
Speaker 1: critters are going through and getting slaughtered occasionally they have

1343
01:22:45,200 --> 01:22:48,840
Speaker 1: dark cutters. Are you familiar with that red cutter? Dark cutter? Yeah,

1344
01:22:49,560 --> 01:22:54,000
Speaker 1: And it's where the meat is so dark, like like

1345
01:22:54,320 --> 01:22:57,960
Speaker 1: a healthy Um, I guess cow's meat would be like,

1346
01:22:58,439 --> 01:23:00,600
Speaker 1: I don't know, a pink to a light red. What

1347
01:23:00,720 --> 01:23:03,160
Speaker 1: would you say that's that's accurate? A dark cutter is

1348
01:23:03,200 --> 01:23:05,519
Speaker 1: like almost purple and it has to do with stress levels,

1349
01:23:05,600 --> 01:23:09,479
Speaker 1: right exactly. And they've looked into what causes the stress

1350
01:23:09,560 --> 01:23:13,000
Speaker 1: of these critters. Is it the poking and prodding with

1351
01:23:13,760 --> 01:23:18,960
Speaker 1: um tools, Is it um like the loud noises at

1352
01:23:19,000 --> 01:23:23,280
Speaker 1: the slaughterhouse, is it transporting them? Is it the lack

1353
01:23:23,400 --> 01:23:27,719
Speaker 1: of feed? Like? What is the number one cause? Because

1354
01:23:27,880 --> 01:23:30,240
Speaker 1: they're in the line of death and they can hear

1355
01:23:30,280 --> 01:23:35,360
Speaker 1: their friends bellowing ahead of them. So what they determine

1356
01:23:35,400 --> 01:23:38,519
Speaker 1: is that the number one uh thing that causes a

1357
01:23:38,640 --> 01:23:43,760
Speaker 1: dark cutter is the interaction with unfamiliar animals when they

1358
01:23:43,840 --> 01:23:46,800
Speaker 1: get to these slaughter facilities and all of that's a

1359
01:23:46,960 --> 01:23:50,360
Speaker 1: leading contributor of stress for for cattle to be a

1360
01:23:50,439 --> 01:23:54,479
Speaker 1: dark cutters. The number one thing that caused dark cutters

1361
01:23:54,680 --> 01:23:56,400
Speaker 1: that he gets mixed in with a bunch of animals

1362
01:23:56,479 --> 01:24:00,320
Speaker 1: he's not familiar with, right, whether that be like unfamiliar cattle,

1363
01:24:00,600 --> 01:24:02,519
Speaker 1: or it could be pigs. I guess it could be

1364
01:24:02,640 --> 01:24:05,160
Speaker 1: vice and it could be elk. Who knows. I guess

1365
01:24:05,240 --> 01:24:10,679
Speaker 1: it didn't. I don't. I don't recall it expanding. Yeah,

1366
01:24:12,080 --> 01:24:16,639
Speaker 1: hell yeah, it's like your first pishure ever called that's

1367
01:24:16,680 --> 01:24:19,679
Speaker 1: my second take a picture of Phil for the podcast studio,

1368
01:24:20,160 --> 01:24:22,960
Speaker 1: Phil the engineer. What's your current picture in there? Phil?

1369
01:24:23,120 --> 01:24:25,679
Speaker 1: I got nothing. That's great, Phil, because this guy's headset

1370
01:24:25,680 --> 01:24:30,040
Speaker 1: out makes it look like an engineer pilot. You're the

1371
01:24:30,120 --> 01:24:32,759
Speaker 1: only person who's photos not in the student Yeah. Okay,

1372
01:24:32,840 --> 01:24:37,800
Speaker 1: go on though. So Yeah, being around unfamiliar animals was

1373
01:24:37,840 --> 01:24:40,040
Speaker 1: the number one cause. So if you took and you

1374
01:24:40,120 --> 01:24:43,559
Speaker 1: wanted to apply that to deer and say, like, would

1375
01:24:43,640 --> 01:24:46,960
Speaker 1: that stress out deer during the rut? They run into

1376
01:24:47,000 --> 01:24:50,120
Speaker 1: all kinds of like unfamiliar deer that they haven't seen before.

1377
01:24:50,360 --> 01:24:52,439
Speaker 1: But there has to be a difference between like an

1378
01:24:52,520 --> 01:24:57,000
Speaker 1: ox that was domestically created over ten thousand years then

1379
01:24:57,080 --> 01:24:59,840
Speaker 1: a wild white tail duking it out in the rut

1380
01:25:00,320 --> 01:25:04,200
Speaker 1: doing something that they've always done. I think another interesting

1381
01:25:04,240 --> 01:25:05,760
Speaker 1: thing to look at when you get around this when

1382
01:25:05,760 --> 01:25:09,599
Speaker 1: you talk to meat scientists is be that leading into

1383
01:25:10,720 --> 01:25:15,400
Speaker 1: their um reproductive season, there has to be a there's

1384
01:25:15,439 --> 01:25:18,280
Speaker 1: gonna be some kind of hormonal shift going on. Yeah,

1385
01:25:18,400 --> 01:25:20,880
Speaker 1: Like I'm guessing there's like, you know, an increase of

1386
01:25:21,080 --> 01:25:26,000
Speaker 1: some hormones and a decrease in other hormones um and

1387
01:25:26,120 --> 01:25:29,880
Speaker 1: that that could obviously have some kind of in part

1388
01:25:29,960 --> 01:25:32,160
Speaker 1: on the taste I had a guy in Scotland one

1389
01:25:32,200 --> 01:25:35,080
Speaker 1: time tell me that in the German market, you know,

1390
01:25:35,120 --> 01:25:36,680
Speaker 1: everybody's always like here, like, oh, I don't like that

1391
01:25:36,800 --> 01:25:39,799
Speaker 1: two game that when it comes to like in Germany

1392
01:25:40,439 --> 01:25:44,000
Speaker 1: when they're buying red deer for commercial sale, they like

1393
01:25:44,640 --> 01:25:49,760
Speaker 1: stags during the roar. So maybe they're wrong, right, fact

1394
01:25:49,840 --> 01:25:52,080
Speaker 1: check those sons of bitches. Yeah, And that was they

1395
01:25:52,160 --> 01:25:54,639
Speaker 1: might be operating under some kind of erroneous assumption about

1396
01:25:54,680 --> 01:25:56,760
Speaker 1: what makes me they like and there there is like

1397
01:25:57,000 --> 01:25:59,880
Speaker 1: part of that that makes this difficulties. Like I said,

1398
01:26:00,040 --> 01:26:02,519
Speaker 1: what what is tasting works or tasting more gaming? Because

1399
01:26:03,160 --> 01:26:05,880
Speaker 1: I think during the slaughter House studies, it's like one

1400
01:26:05,960 --> 01:26:09,519
Speaker 1: percent of American cattle are considered dark cutters, but in

1401
01:26:09,680 --> 01:26:12,800
Speaker 1: Europe it's like three. So is it that they have

1402
01:26:13,520 --> 01:26:16,280
Speaker 1: more stressed out animals or do they have a higher

1403
01:26:16,360 --> 01:26:20,800
Speaker 1: tolerance for being a dark cutter. So that's that's also

1404
01:26:20,920 --> 01:26:25,720
Speaker 1: something that makes this hardy a low tolerance that they're

1405
01:26:25,760 --> 01:26:28,880
Speaker 1: more likely to declare an animal dark cutter in Europe. Correct, Yeah,

1406
01:26:29,000 --> 01:26:31,120
Speaker 1: that's what I meant, because I'm gassing a dark cutter

1407
01:26:31,240 --> 01:26:34,479
Speaker 1: gets fished. I think it's concerning to like dog food.

1408
01:26:34,760 --> 01:26:39,000
Speaker 1: Probably depends on what facility. But that's one that I

1409
01:26:39,080 --> 01:26:41,759
Speaker 1: wouldn't feel like I could do justice to the question.

1410
01:26:43,080 --> 01:26:45,759
Speaker 1: So you're not doing it. Probably won't cover it because

1411
01:26:45,960 --> 01:26:50,160
Speaker 1: it would be too hard, uh to nail down. I'm

1412
01:26:50,240 --> 01:26:51,920
Speaker 1: not sure that you could have the right answer one

1413
01:26:51,920 --> 01:26:53,680
Speaker 1: way or the other. Then the hand you like to

1414
01:26:53,720 --> 01:26:56,560
Speaker 1: come in clean. Yes, I want someone to read it

1415
01:26:56,840 --> 01:27:01,400
Speaker 1: and then feel confident that what they read is in fact, act, factual,

1416
01:27:01,520 --> 01:27:03,720
Speaker 1: the straight dope. If there's gotta be I mean a

1417
01:27:03,760 --> 01:27:07,080
Speaker 1: lot of people study meat. There's gotta be other things

1418
01:27:07,160 --> 01:27:11,000
Speaker 1: other than just dark cutters that have been studied by

1419
01:27:11,200 --> 01:27:14,000
Speaker 1: meat scientists. Yeah, I'd like you to talk to a

1420
01:27:14,080 --> 01:27:16,439
Speaker 1: couple of meat scientists before you give this one up.

1421
01:27:17,600 --> 01:27:20,640
Speaker 1: Do your due diligence. Now you've told people what they

1422
01:27:20,680 --> 01:27:22,639
Speaker 1: won't be able to read about at the media dot com.

1423
01:27:23,560 --> 01:27:25,400
Speaker 1: What are some things that people can look forward to

1424
01:27:26,320 --> 01:27:28,880
Speaker 1: more fact checkers? Yeah, but give me a specific you know,

1425
01:27:29,000 --> 01:27:32,760
Speaker 1: having in the old pipeline they if you want, if

1426
01:27:32,800 --> 01:27:35,479
Speaker 1: you have an idea for a fact checker, right to

1427
01:27:35,680 --> 01:27:40,840
Speaker 1: us at fact Checker at the mead dot com. F

1428
01:27:40,960 --> 01:27:45,439
Speaker 1: A C T H E c K E Er at

1429
01:27:45,479 --> 01:27:47,040
Speaker 1: the meat eater dot com. Do you ever do the

1430
01:27:47,120 --> 01:27:50,320
Speaker 1: ones that are like so obviously wrong, but it's still

1431
01:27:50,400 --> 01:27:52,840
Speaker 1: something you hear about, like that the porcupine can throw it.

1432
01:27:52,920 --> 01:27:56,080
Speaker 1: Squills said, You're like, do you just not do those

1433
01:27:56,120 --> 01:27:58,840
Speaker 1: because they're so stupid. I'm hesitant to, Like I said,

1434
01:27:58,840 --> 01:28:02,280
Speaker 1: create a scarecrow man for these. There was one that

1435
01:28:02,560 --> 01:28:04,640
Speaker 1: I was really intrigued by, but I'm like, this is

1436
01:28:04,720 --> 01:28:08,840
Speaker 1: so stupid that why would I even put any time

1437
01:28:08,880 --> 01:28:12,000
Speaker 1: into writing this? And that was that the moon phase

1438
01:28:12,439 --> 01:28:16,240
Speaker 1: when you're hanging an aging meat affects the quality of

1439
01:28:16,320 --> 01:28:20,000
Speaker 1: the meat. That's not worth doing. No, no, no, I know.

1440
01:28:20,120 --> 01:28:21,840
Speaker 1: And that that's an example because it needs to be

1441
01:28:21,920 --> 01:28:23,960
Speaker 1: a full moon so that the moon dust falls down

1442
01:28:24,120 --> 01:28:28,080
Speaker 1: to uh add the extra flavor? Have you done? I

1443
01:28:28,160 --> 01:28:31,880
Speaker 1: know we've written about this, Uh, we've covered this, but

1444
01:28:31,960 --> 01:28:33,920
Speaker 1: we haven't covered in fact checker farm And to be

1445
01:28:34,000 --> 01:28:36,320
Speaker 1: kind of like recycling an old idea, But it might

1446
01:28:36,360 --> 01:28:38,639
Speaker 1: be time again because there's always new research coming out

1447
01:28:39,200 --> 01:28:43,040
Speaker 1: about high winds. What do high winds do for deer movements?

1448
01:28:43,560 --> 01:28:47,200
Speaker 1: What does the full moon do for dearer movements? Um?

1449
01:28:48,000 --> 01:28:50,240
Speaker 1: I think you could keep whittling away at that, Yeah,

1450
01:28:50,280 --> 01:28:54,439
Speaker 1: because those are changing things all the time. Yeah, things

1451
01:28:54,479 --> 01:28:57,080
Speaker 1: we can certainly cover for fact Checker that I think

1452
01:28:57,160 --> 01:28:59,360
Speaker 1: we've covered in other parts of our website, whether it

1453
01:28:59,400 --> 01:29:02,439
Speaker 1: be Mark Ken on the podcast or something Pat Durkin

1454
01:29:02,720 --> 01:29:06,840
Speaker 1: has written. But yeah, there there are uh as many

1455
01:29:06,960 --> 01:29:10,120
Speaker 1: misconceptions around white tail movement as or I think anything

1456
01:29:10,200 --> 01:29:16,280
Speaker 1: else in the outdoor community. You could also uh fact

1457
01:29:16,439 --> 01:29:24,840
Speaker 1: check is your honest true outdoors is really not? Is

1458
01:29:24,880 --> 01:29:28,200
Speaker 1: you honest really not true outdoors? And then once you

1459
01:29:28,280 --> 01:29:31,280
Speaker 1: can came to the conclusion there, you could then compare

1460
01:29:31,360 --> 01:29:34,240
Speaker 1: who is more of an outdoorsman, Stephen or Yanna. There

1461
01:29:34,280 --> 01:29:37,559
Speaker 1: you go. I was gonna add to you the email

1462
01:29:37,600 --> 01:29:40,000
Speaker 1: if you have a fact checker, you know email to

1463
01:29:40,120 --> 01:29:43,240
Speaker 1: write in. But if you're still stuck on the um

1464
01:29:44,479 --> 01:29:52,000
Speaker 1: the gut smells, you should just attach your gut far

1465
01:29:52,200 --> 01:29:54,320
Speaker 1: smell in that email and send it in and we

1466
01:29:54,400 --> 01:30:01,160
Speaker 1: can all see attachment. Bottle it up, love it all right?

1467
01:30:01,360 --> 01:30:07,679
Speaker 1: Uh real quick? Um me, and you are still running

1468
01:30:07,680 --> 01:30:10,400
Speaker 1: for president. That's not changed. The campaign is gonna heat

1469
01:30:10,439 --> 01:30:14,160
Speaker 1: up more later. Yeah, Uh, by yourself a AI T

1470
01:30:14,320 --> 01:30:18,680
Speaker 1: shirt because uh remember all the proceeds profits, how do

1471
01:30:18,800 --> 01:30:20,479
Speaker 1: we have to put it? Always? Pree gets go for

1472
01:30:20,560 --> 01:30:24,120
Speaker 1: access Basically all the money when we're launching an access project. Yeah,

1473
01:30:24,160 --> 01:30:26,120
Speaker 1: we're gonna support an access project with all of our

1474
01:30:26,160 --> 01:30:30,519
Speaker 1: money that Ronella protels campaign slogan hit it Yoanni better

1475
01:30:30,600 --> 01:30:34,040
Speaker 1: hunting and fishing for America. I hung a Ronella Patel

1476
01:30:34,840 --> 01:30:38,040
Speaker 1: sign in my garage and I used blaze orange duct

1477
01:30:38,040 --> 01:30:41,599
Speaker 1: tape to hold it up. When people walk in, they

1478
01:30:41,720 --> 01:30:47,479
Speaker 1: noticed it, right, And it's probably all sold out. It's

1479
01:30:47,520 --> 01:30:50,240
Speaker 1: probably by the time this area might be all sold out.

1480
01:30:50,479 --> 01:30:52,160
Speaker 1: A lot of the venues are sold out. We have

1481
01:30:52,200 --> 01:30:56,559
Speaker 1: an eleven city tour coming up, yeah one day, though

1482
01:30:56,560 --> 01:30:58,320
Speaker 1: it is down in Masis. You might if you want

1483
01:30:58,360 --> 01:31:02,840
Speaker 1: to go somewhere warm this spring, maybe check out that venue. Yeah,

1484
01:31:02,920 --> 01:31:06,160
Speaker 1: media or live off the air. A lot of them

1485
01:31:06,200 --> 01:31:08,240
Speaker 1: are sold out. All of the I P tickets are

1486
01:31:08,240 --> 01:31:12,599
Speaker 1: gone everywhere, but there might be some tickets left. Yeah,

1487
01:31:12,640 --> 01:31:15,920
Speaker 1: you never know by the time. Currently there are a

1488
01:31:16,040 --> 01:31:19,519
Speaker 1: number of venues still selling tickets. And maybe we'll add

1489
01:31:19,520 --> 01:31:22,040
Speaker 1: a couple of dates. You never know, check in, so

1490
01:31:22,200 --> 01:31:25,400
Speaker 1: come check it out. We'll have some Maybe we'll try

1491
01:31:25,439 --> 01:31:27,360
Speaker 1: to roll an element of fact Checker into it. People

1492
01:31:27,439 --> 01:31:31,360
Speaker 1: can shout out lies and then we'll live back check

1493
01:31:32,000 --> 01:31:34,040
Speaker 1: um and then we're all still trying to work out.

1494
01:31:34,720 --> 01:31:36,360
Speaker 1: Are you from with this dollar dance with cal for

1495
01:31:36,439 --> 01:31:38,840
Speaker 1: twenty bucks for conservation? I am when you brought that,

1496
01:31:39,160 --> 01:31:41,240
Speaker 1: no idea how that will work. I couldn't believe that,

1497
01:31:41,560 --> 01:31:45,000
Speaker 1: Like everyone else had not heard of it before. Yeah,

1498
01:31:45,040 --> 01:31:46,960
Speaker 1: that's just like a staple at weddings. My wife kind

1499
01:31:47,000 --> 01:31:49,519
Speaker 1: of half doesn't believe me, and she grew up in

1500
01:31:49,560 --> 01:31:52,840
Speaker 1: the same state I did. You'd go to a wedding,

1501
01:31:52,840 --> 01:31:54,960
Speaker 1: I say, a couple things that haven't at weddings. There's

1502
01:31:54,960 --> 01:31:57,960
Speaker 1: a dollar dance to my wedding for a buck. Yeah,

1503
01:31:58,320 --> 01:32:00,880
Speaker 1: he has a dollar. Yes, you wipe be dancing her

1504
01:32:00,880 --> 01:32:03,880
Speaker 1: ass trying to raise some money. Did you guys have

1505
01:32:04,080 --> 01:32:06,160
Speaker 1: did you guys take spawn? Did you guys take spawn

1506
01:32:06,200 --> 01:32:10,000
Speaker 1: bag material and tie up cocktail peanuts and those pastel

1507
01:32:10,080 --> 01:32:14,519
Speaker 1: colored mints in a spawn sack? Exactly what you're talking

1508
01:32:14,520 --> 01:32:18,080
Speaker 1: about right now. What in the old days, when I

1509
01:32:18,200 --> 01:32:21,920
Speaker 1: was a boy, when you got married, when people got married,

1510
01:32:21,960 --> 01:32:25,280
Speaker 1: you'd going on your plate would be like spawn bag material,

1511
01:32:25,400 --> 01:32:28,519
Speaker 1: like the mesh spawns stuff you use, the tie spawn bag,

1512
01:32:29,600 --> 01:32:32,040
Speaker 1: and it'd be full of those red cocktail peanuts and

1513
01:32:32,040 --> 01:32:35,600
Speaker 1: those little pastel colored pink and blue mints and you

1514
01:32:35,840 --> 01:32:37,599
Speaker 1: tie a bow on it, and that was like an

1515
01:32:37,680 --> 01:32:41,400
Speaker 1: appetizer snack waiting at your seat, and you'd eat that,

1516
01:32:42,200 --> 01:32:44,920
Speaker 1: and then you'd eat old people's ones that didn't eat theirs,

1517
01:32:45,439 --> 01:32:47,720
Speaker 1: and then eventually there'd be the dollar dance. It's like

1518
01:32:47,800 --> 01:32:52,240
Speaker 1: a party favor. And then someone's uncle would get wasted

1519
01:32:52,560 --> 01:32:55,120
Speaker 1: and tie his neck tie around his head and it

1520
01:32:55,240 --> 01:32:57,840
Speaker 1: was about that time you went home. It sounds like

1521
01:32:57,960 --> 01:33:02,120
Speaker 1: most weddings. Uh yeah. And when you're writing in your

1522
01:33:02,120 --> 01:33:05,320
Speaker 1: fact checker things, how to pull off dollar dance with

1523
01:33:05,400 --> 01:33:07,880
Speaker 1: Cal for twenty bucks for conservation, because Cal is very

1524
01:33:07,920 --> 01:33:11,320
Speaker 1: stressed out about it, the logistics of it. But I

1525
01:33:11,400 --> 01:33:14,880
Speaker 1: have a feeling, I have a vision in a feverish

1526
01:33:15,000 --> 01:33:17,240
Speaker 1: dream that came to me that this is something that

1527
01:33:17,320 --> 01:33:20,080
Speaker 1: needs to happen at the live shows. I've also been

1528
01:33:20,120 --> 01:33:23,240
Speaker 1: talking to my buddy from back home, who he was.

1529
01:33:23,600 --> 01:33:25,519
Speaker 1: He had a cover band when we were in high school,

1530
01:33:26,320 --> 01:33:29,120
Speaker 1: and UM, I'm thinking about have him for our maybe

1531
01:33:29,200 --> 01:33:32,280
Speaker 1: for our Detroit show. I'm thinking about having him crafting

1532
01:33:32,400 --> 01:33:36,360
Speaker 1: up a um a quick run through of all of

1533
01:33:36,560 --> 01:33:40,080
Speaker 1: Nugents songs that are relevant to hunting and fishing for

1534
01:33:40,479 --> 01:33:45,120
Speaker 1: open form conversation about those said songs. Stay too is,

1535
01:33:45,200 --> 01:33:48,000
Speaker 1: Ladies and Gentlemen, Meteor Live off the Air. You're join

1536
01:33:48,160 --> 01:33:50,680
Speaker 1: us on the ice right now. And Uh in the

1537
01:33:50,720 --> 01:33:53,599
Speaker 1: big Giant Eskimo Shanny that's bigger than our podcast studio.

1538
01:33:53,960 --> 01:33:57,080
Speaker 1: Phil caught the second fish ever in black jeans with

1539
01:33:57,080 --> 01:34:01,519
Speaker 1: a hole in the knee. Good luck. Hey, my son's

1540
01:34:01,560 --> 01:34:04,680
Speaker 1: been slaying the whole time. Yeah, Jimmy's definitely caught more

1541
01:34:04,760 --> 01:34:09,519
Speaker 1: fish than anybody else on this track. Quit fishing. Remember

1542
01:34:09,600 --> 01:34:12,479
Speaker 1: Also go uh and support our other podcasts in the

1543
01:34:12,560 --> 01:34:16,639
Speaker 1: Meteor podcast network. Go check out us called his third

1544
01:34:16,680 --> 01:34:23,800
Speaker 1: fish of his life and die Killing. He's gonna play

1545
01:34:23,880 --> 01:34:28,160
Speaker 1: it later, Bill Kill the Fish, Ryan Callahan's Cow's Weekend Review,

1546
01:34:28,320 --> 01:34:36,480
Speaker 1: Ben O'Brien's The Hunting Collective, Remy Warrants, Yeah, cutting the distance,

1547
01:34:38,120 --> 01:34:42,760
Speaker 1: Mark Kenyon's Wired to Hunt Rough Fresh, which is all

1548
01:34:42,840 --> 01:34:44,640
Speaker 1: done for the year. It's done for the year. He

1549
01:34:44,880 --> 01:34:48,880
Speaker 1: was stat Okay, ladies and gentlemen, we gotta go. We

1550
01:34:48,960 --> 01:34:51,800
Speaker 1: gotta do surgery on a blue girl. Thanks for joining

1551
01:35:03,120 --> 01:35:05,360
Speaker 1: play prof