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Speaker 1: Oh boy, and welcome to the news Show. This week,

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Speaker 1: we're covering skyrocketing costs on souped up tungsten turkey, Ammo.

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Speaker 1: We're covering turkey hunters in Wisconsin crashed the Internet, or

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Speaker 1: at least a tiny part of it. We're covering a

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Speaker 1: famous golfer chooses fake elk meat for the Masters and

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Speaker 1: Spencer thinks that's cool. We're covering black bear news from Oklahoma, Arizona,

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Speaker 1: and Washington. We're gonna talk about is bottom trawling destroying

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Speaker 1: Alaska's fisheries. We're gonna maybe get to how Montana politics

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Speaker 1: is getting juicy. As a smoke jumper and a gun

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Speaker 1: control influencer, wage primary bids for a US congressional seat,

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Speaker 1: and Mark.

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Speaker 2: Jam Pack there can't be more.

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Speaker 3: It's so much.

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Speaker 1: We let cut some of them at for starters. We're

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Speaker 1: getting fired up for Spring turk. You're gonna want to

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Speaker 1: hear this right now. We're running the Ultimate Spring Turkey Giveaway. Okay.

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Speaker 1: It's packed with over thirteen thousand dollars in prizes, including

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Speaker 1: a turkey hunting experience gear from sig, a shotgun from Benelli,

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Speaker 1: one thousand dollars gift card from First Light and a

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Speaker 1: whole other pile of gear from other partner brands. One

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Speaker 1: lucky winner is going to receive a Spring twenty seven

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Speaker 1: real grand Turkey hunt in the Texas hill Country for

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Speaker 1: you and two of your bodies or family members, So

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Speaker 1: a three pack you all goes hunting, brought to you

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Speaker 1: by bird Dog. The more you spend during the giveaway

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Speaker 1: at first Light Phelps, game calls, FHF Gear and the

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Speaker 1: me Eater Store, the more entries you'll earn for chance

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Speaker 1: to win the entire prize package. I hope I win.

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Speaker 2: I think you're in eligent.

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Speaker 1: People will be like thinking it's rigged. Getting entered is easy,

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Speaker 1: say okay, head over to first Light contest page at

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Speaker 1: first light dot com. So go to first light dot com,

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Speaker 1: find the contest page, fell out the entry for him.

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Speaker 1: Then you're in. For every twenty five bucks you spend,

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Speaker 1: you get ten additional entries. One winner will be selected

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Speaker 1: to win the whole kit and kaboodle the whole entire

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Speaker 1: prize pack, but don't wait around. The giveaway ends Monday,

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Speaker 1: April thirteen. You're of our Lord twenty twenty six, eleven

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Speaker 1: fifty nine pm Mountain Time. They even included Daylight Daylight saved,

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Speaker 1: So if you midnight get him in by midnight April thirteenth.

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Speaker 4: Ten entries for an additional twenty five's.

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Speaker 1: Is that good?

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Speaker 4: That's pretty good?

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Speaker 1: Feel good to me?

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Speaker 4: I wonder how the odds compare to that? Oh, did

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Speaker 4: you check your Alaska Goat tag? Did you win?

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Speaker 1: Nope? No, I don't know about that. I didn't draw

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Speaker 1: in a normal draw, but I don't know about the

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Speaker 1: raffle draw yet. I didn't draw the normal draw. Are

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Speaker 1: we giving away boots right now?

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Speaker 4: Yes, we still are.

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Speaker 1: We're giving a terrible oversight on my part. Joined today

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Speaker 1: by Tony Peterson, Big Buck Killer, Randall Williams, Big Ape Guy,

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Speaker 1: bar new comes here, you bet, Spencer Newheart, and of

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Speaker 1: course Brody Henderson.

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Speaker 5: Uh.

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Speaker 1: We're gonna start off with your news and jumping on corrections,

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Speaker 1: Phil corrections, corrections. Okay, first one comes, and here's the thing.

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Speaker 1: The first one comes from half a finger and halfle

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Speaker 1: finger doesn't know this yet, Jim Hefflefinger doesn't know this yet,

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Speaker 1: but we have disqualified him from winning the boots.

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Speaker 6: Is this the same guy as last week?

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Speaker 1: No, it's just he's a friend of the show. Yeah,

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Speaker 1: Yonnie once brought up He's like said the half a

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Speaker 1: Finger says, has Steve ever uh talked about hiring you?

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Speaker 1: And he said, why buy the cow m you get

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Speaker 1: the millet for free. Hafflefinger wrote in with a craction,

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Speaker 1: but we're eliminating him from the running because he's a

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Speaker 1: known person who's been on the show, so wouldn't be

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Speaker 1: fair if he won the Tacova's boots. But here's Heffelfinger's craction.

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Speaker 1: We were on a previous episode, Neanderthal Love. We were

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Speaker 1: talking about whether or not if you want to sound

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Speaker 1: Johnny big Time, you go neander tal. If you want

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Speaker 1: to sound like some dollard, you say Neanderthal. I was

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Speaker 1: saying that something to that effect. Hefflefinger wrote in the

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Speaker 1: thu th and Neanderthal was part of the original spelling

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Speaker 1: and used in the scientific name in the eighteen hundreds

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Speaker 1: Homo neander thalensis science value stability over Willie Nilly updates. Later,

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Speaker 1: the German language was modernized and reformed and they dropped

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Speaker 1: the eight but it was already in such popular usage

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Speaker 1: in English that it remains more correct to use the

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Speaker 1: in English, and in scientific writings, it is more correct

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Speaker 1: to drop the h in German language, and when talking

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Speaker 1: about the location of the first Neanderthal fossils found in

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Speaker 1: a valley named after something or another Neander Tall, so

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Speaker 1: that means the tall means valley in German, so the

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Speaker 1: neander valley.

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Speaker 7: I'm confused by this a little bit, so Mike, because

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Speaker 7: I don't know whether he's saying he's talking about spelling

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Speaker 7: or pronunciation.

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Speaker 2: Here.

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Speaker 1: He's saying that that the crowds. I get that part

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Speaker 1: changed it for themselves, but it was already in such

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Speaker 1: usage here that Americans didn't need to change it.

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Speaker 8: I think it was always an American mispronunciation because in

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Speaker 8: German ta h a l is tall.

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Speaker 1: So you're throwing the correction back at.

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Speaker 8: I'm just throwing another wrinkle into the story here.

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Speaker 1: I've thought about it long and hard. I'm going back

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Speaker 1: to Neanderthal, which is where I came from.

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Speaker 2: Tall sounds pretentious.

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Speaker 1: That's why I did it. I did it.

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Speaker 8: You wouldn't say you're an enthusiast of Neanderthals, you know, I.

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Speaker 1: Like that, Yeah, neander tall enthusiast. I'd be like, he

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Speaker 1: has a speech, yeah, like the eup. Okay, here's another one.

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Speaker 1: I think this one's Is this eligible or ineligible? No,

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Speaker 1: this is eligible.

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Speaker 4: Of them are eligible.

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Speaker 1: Okay. So now we're in the contest. Bear. If you're

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Speaker 1: not familiar, you get We're gonna read corrections. You vote

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Speaker 1: on what's the best correction, okay, and the winner of

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Speaker 1: the best correction gets a pair of He picks out

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Speaker 1: whatever he wants. She we haven't had a woman whin. Yeah,

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Speaker 1: hould the boots up. This is just an example of

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Speaker 1: what you could select. Brand Spicketty new to COVID's boot spencer.

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Speaker 1: Put your nose to that boot and take deep with no, no,

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Speaker 1: not that far. Tell me what you smell, and you

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Speaker 1: smell at quality leather. Yeah, smells like leather through and through.

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Speaker 1: Here's the correction for Giannis. During episode eight forty seven,

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Speaker 1: neander fal Love Well that okay. The episode was titled

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Speaker 1: Neanderthal Love Mildier Eradication to manke Eyelashes. Anyways, Yanni was

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Speaker 1: doing a report about the Catalina Island mule deer debate

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Speaker 1: and how they may be moving forward with a plan

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Speaker 1: to eradicate or attempt to eradicate mule deer off of

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Speaker 1: Catalina Island, where they are not native but where they're

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Speaker 1: in looking sight of where they are. Native Brody asked Jannis,

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Speaker 1: this is the correct writing him. Brody asked, janis what

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Speaker 1: the Catalina Island Conservancy plans to do with the deer

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Speaker 1: after they kill them? Yannis replied, there's no plan for it. Well,

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Speaker 1: here's the correction. The Catalina Island Conservancy has on their

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Speaker 1: website that they will quote provide the meat to the

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Speaker 1: California Condor Recovery Program where they will lay the carcasses

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Speaker 1: in remote hills to allow them to decompose naturally and

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Speaker 1: get eaten by condors.

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Speaker 2: That sounds a lot like doing nothing.

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Speaker 1: That's like if you got busted. Let's say you got

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Speaker 1: busted by fishing game for like wanton waste, Like you

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Speaker 1: killed a deer and you left it and they're like, hey,

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Speaker 1: you know you're in trouble. You can't do that.

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Speaker 9: You'd be like, oh no, you don't understand. You don't understand.

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Speaker 9: I'm feeding magpies. This is magpie conservation.

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Speaker 7: When I placed him in a strategic spot where magpies

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Speaker 7: will find them.

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Speaker 1: So that's what they say, And it is like such

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Speaker 1: a little it's like it's like it's cynical. You know like,

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Speaker 1: oh no, no, no, we're not wasting them. California condors will

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Speaker 1: consume them. Sure, they're gonna have a mighty square meal,

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Speaker 1: when for a brief period of time they're not they're

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Speaker 1: not planning on like laying it out over time. For

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Speaker 1: a brief period of time, they will have hundreds of

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Speaker 1: meal deer carcasses to choose from. Okay, a lot of

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Speaker 1: corrections about the open field doctrine. That was a great correction,

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Speaker 1: by the way, A lot of corrections about the open

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Speaker 1: field doctrine. Some of them came in like very adversarial

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Speaker 1: to me about how dumb I am and everything. Okay,

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Speaker 1: we heard from many folks across the country. This was

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Speaker 1: a this was a hot This generated a lot. We

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Speaker 1: had lawyers right in, we had law enforcement guys right in.

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Speaker 1: We had a fellow Montana and over at the Sheriff's

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Speaker 1: department and still Water County rode in. So to all

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Speaker 1: you folks, thanks for writing in about the open field doctrine.

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Speaker 1: We selected one beca It kind of laid things out

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Speaker 1: the most cleanly, the cleanest. So apologies to those of

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Speaker 1: you who wrote in, but you're not in the running

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Speaker 1: for the brand speaking to new Boots. The correction goes

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Speaker 1: like this, good morning, hoy, do you I just listened

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Speaker 1: to episode eight forty eight. Now here's where he lays

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Speaker 1: out his credentials, which is a tip to people doing corrections.

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Speaker 1: Get the credentials. I am a retired FBI agent and

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Speaker 1: currently teach constitutional criminal procedure at the FBI Academy. So

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Speaker 1: there he's like laying.

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Speaker 2: It out, dude, don't mess with me.

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Speaker 1: Who's gonna argue with him? Then he goes on to say,

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Speaker 1: I have to take exception with whoever explained the open

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Speaker 1: fields doctrine to Steve. I like this approach.

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Speaker 8: Yeah, he's.

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Speaker 4: It's not a compliment, Sandwich, it's like something.

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Speaker 1: Else you were mislaid.

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Speaker 8: It might you might teach interrogation techniques as well.

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Speaker 1: This is a this is a great like Yeah, it's like, yeah,

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Speaker 1: I don't Hey, I'm not attacking you, bro, I'm attacking

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Speaker 1: whoever told you the dumb thing.

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Speaker 7: You think it's also out you could That's just what

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Speaker 7: someone told.

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Speaker 1: It was explained to me by an idiot. Yeah, and

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Speaker 1: here I am an innocent victim of like this idiot idiocy.

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Speaker 1: So he's taking exception as he should. Who told me

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Speaker 1: about it, which sort of assumes that they told me wrong,

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Speaker 1: maybe that I didn't twist it up my head. But

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Speaker 1: he says, this, Okay, here, here's it. Here it is.

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Speaker 1: I'm laying it out for you. In the nineteen eighty

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Speaker 1: seven Supreme Court decision United States versus Done, the Court

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Speaker 1: defined open fields as different from the curtilage. I've never

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Speaker 1: heard that word as different from the curtilage of one's home. Yeah,

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Speaker 1: I got a back up. He didn't do a great

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Speaker 1: job explaining this. What we were talking about.

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Speaker 2: Was this area of land around a house.

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Speaker 1: What we're talking about is we're speaking about this thing

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Speaker 1: where if a game ward, let's say you're on your

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Speaker 1: private property and a game ward has reason to believe

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Speaker 1: there's poaching taking place on that property, Like he's hearing

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Speaker 1: a bunch of gunshots and a duck marsh private property.

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Speaker 1: It's thirty minutes before shooting the light and you just hearing.

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Speaker 1: He can go in there without a search warrant and

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Speaker 1: find out what's going on. It's like the open fields doctrine.

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Speaker 1: I was saying that it was a tool of game wardens.

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Speaker 1: All the correctors are like, this is not this is

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Speaker 1: not particular to game ward It might be utilized by

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Speaker 1: game wardens.

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Speaker 7: But it's not particularly powers that law enforcement other lawn.

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Speaker 1: Yeah, I was at they had powers that our people

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Speaker 1: didn't have. And it goes back to this whole thing

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Speaker 1: where they were like working moonshiners. They were working moonshiners

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Speaker 1: and see some moonshine from a moonshiner, and that's what

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Speaker 1: led to this thing that the moonshiner was out in

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Speaker 1: the open fields and not in his home when he

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Speaker 1: got searched. Something to that effect. Right into correction about that,

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Speaker 1: this guy says. In the nineteen eighty seven Supreme Court

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Speaker 1: decision United States versus Done, the court defined open fields

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Speaker 1: as different from the curtilage brody.

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Speaker 2: On an area around one's house.

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Speaker 1: Of one's home, which involves the activities associated with the

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Speaker 1: living space. Law enforcement officers, not just game wardens, can

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Speaker 1: enter private property on open fields without a warrant. Traditionally,

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Speaker 1: game wardens have had even greater scope to enter outbuildings

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Speaker 1: and even dwellings in search of evidence of game violations.

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Speaker 1: Many states have curtailed those powers, but generally the open

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Speaker 1: field doctrine is explained done. The open field doctrine as

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Speaker 1: explained and done, applies to all law enforcement officers. In

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Speaker 1: that case, a DEA agent, along with the Houston Harris

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Speaker 1: County deputy enter the defendant's property to look through a

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Speaker 1: woman to look through the windows of a barn about

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Speaker 1: one hundred yards behind the main dwelling. The court ruled

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Speaker 1: this entry onto the property was not a Fourth Amendment

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Speaker 1: violation because open fields are not protected as part of

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Speaker 1: the person's houses, papers, and effects, which are covered by

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Speaker 1: the Fourth Amendment. He goes on, Obviously, with all constitutional law,

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Speaker 1: there are nuances, and all states can grant greater protections

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Speaker 1: than the US Constitution, but not lesser protections. Not trying

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Speaker 1: to be nitpicky, but I've taught this area of the

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Speaker 1: law for the last sixteen years and have twenty nine.

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Speaker 1: See he's going back around to double up on his credentials.

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Speaker 8: You missed the highlight of this email.

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Speaker 1: Please go ahead.

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Speaker 8: He did this with text to type, and you missed

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Speaker 8: the typo that in discussing the open field the law

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Speaker 8: and enforcement of thought.

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Speaker 2: Respect for him, Yeah, that should be what. It's a great.

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Speaker 1: It's a great.

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Speaker 8: I don't know if that's give it out of respect

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Speaker 8: for Todd oh, I loved that.

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Speaker 1: Give it out of respect.

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Speaker 8: I still respect Todd, but I thought that was too good.

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Speaker 2: I know who gets gloss over.

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Speaker 1: Okay, so to review, Well, we've only had two. We

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Speaker 1: need three.

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Speaker 3: Fingers.

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Speaker 4: You guys cut too many. We don't have internet, so

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Speaker 4: I can't stick something else back.

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Speaker 1: We can just do one of the next one. I'm

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Speaker 1: doing the number three.

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Speaker 6: Oh okay, perfect, So this track bear.

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Speaker 4: This person we wrote in didn't even write it really

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Speaker 4: in as a correction, but more like a clarification.

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Speaker 1: So now you're but corrections clarifications are in my book

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Speaker 1: pointing out something that was omitted. It's like aeror biomission counts.

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Speaker 1: Clarifications count.

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Speaker 8: Great for me, this is both the clarification and the correction.

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Speaker 4: Yeah, well good for this guy. He might get you.

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Speaker 1: We're talking about glomer bowl in semination, and this goes

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Speaker 1: back to a conversation I have with my dear friend

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Speaker 1: Kevin Murphy, who is describing to me his ranch work

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Speaker 1: as a child, and how they had a bowl whose

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Speaker 1: penis was reoriented to come out the wrong direction. When

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Speaker 1: Kyle's were coming into heat, they would take this bowl

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Speaker 1: and put a big ink blodder on his neck. He

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Speaker 1: would go out and try to mount ripe cows and

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Speaker 1: then ink blottom. Then rancher comes out, notices an ink

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Speaker 1: blot on a cow, runs out artificially inseminates it so

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Speaker 1: as a way of identifying a coyle coming into heat tracking.

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Speaker 1: Uh huh okay. Then we talked about that a bunch

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Speaker 1: and we've had other corrections about it. This guy wants

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Speaker 1: to clarify and that they dub these things goomer bulls.

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Speaker 1: This one guy calls them a glomer bull. Stephen Krue,

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Speaker 1: I teach a cattle artificial insemination course with University of Idaho,

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Speaker 1: again comes in hard lays out his credentials. You had

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Speaker 1: a cowboy write in about golomer bulls, which were a

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Speaker 1: common way to check for standing heat and cattle. However,

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Speaker 1: goomer bulls are not extremely common in today's world. The

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Speaker 1: cowboy talked about a lottery ticket style scratcher, which is

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Speaker 1: common use. However, it does not have to be a

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Speaker 1: bull riding. Those females they write each other. If you

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Speaker 1: got young children nearby, cover their ears. No, No, I'm joking.

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Speaker 1: In a penter pasture, they ride each other. Other females

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Speaker 1: will scratch so okay, they put a patch on the

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Speaker 1: cows other females are trying to ride each other. The

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Speaker 1: females will scratch off the patch and show the artificial

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Speaker 1: insemination technician that the cow is in heat and ready

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Speaker 1: to be inseminated. See, this is a little surprise I've seen.

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Speaker 1: I didn't know, Like I've seen plenty of that go

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Speaker 1: on in my day, but I didn't know that they

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Speaker 1: were queuing in on the cow being in heat. I

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Speaker 1: just thought it was just general whatever. Another common practice

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Speaker 1: is to use hormones that stop or start an ovulation

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Speaker 1: cycle to time them so a majority of animals understanding

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Speaker 1: heat at the same time. I'm familiar with that. I

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Speaker 1: think they call them heat sinking. You're familiar with heat

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Speaker 1: sink seeking missiles. This is heat sinking. Artificial semnation is

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Speaker 1: a great tool for genetic improvement cattle and other species,

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Speaker 1: as well as removing some dangers and additional expenses expense

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Speaker 1: of having bulls on a farmer ranch. Tough competition. Let

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Speaker 1: me review in my head, so to to remind everybody

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Speaker 1: voting open fields, doctrine Catalina and Gomer bulls Catalina. How

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Speaker 1: many votes? How many voters you got today? One eight

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Speaker 1: eight votes, Catalina right, open fields.

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Speaker 6: That's like.

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Speaker 8: Respect for laforcement.

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Speaker 10: Sorry, yeah, well you know why because that's dude, a

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Speaker 10: lot of people and and god bless them people writing

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Speaker 10: in with the math questions.

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Speaker 1: That's all great, keep them, but that's got real teeth

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Speaker 1: right there.

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Speaker 8: And I not to take anything away from Gobert Bowl insemination.

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Speaker 8: It's fascinating.

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Speaker 4: Yeah, it's very interesting. But yeah, thanks Todd. We'll get

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Speaker 4: in touch and you can choose your own pair to

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Speaker 4: COVID boots.

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Speaker 8: Law man with some new boots.

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Speaker 1: Yep, I like that. Wow, hopefully he's gonna he's gonna

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Speaker 1: shotgun those new boots and get his holsters out and

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Speaker 1: go down to Main Street.

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Speaker 3: Can I add one more thing? To have a fingers

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Speaker 3: email please? Twenty sixteen Discovery article covered it if it

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Speaker 3: should be Neanderthal or neanderthal. They determined both are fine,

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Speaker 3: but they likened it to if you say Neanderthal, that's

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Speaker 3: like calling Paris Peri instead.

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Speaker 4: So that's that's what you sound walking around with that email.

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Speaker 3: A terrible or just commit and start calling it Parie.

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Speaker 1: Oh yeah, whatever, you got to get that throat now

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Speaker 1: I'm going back to Neanderthal. Bad dude. We had a

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Speaker 1: previous episode where we were goofing on a guy. So

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Speaker 1: a guy wrote in talking about his daughter's boyfriend, and

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Speaker 1: he's saying that normally he's kind of a numbschool, but

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Speaker 1: he had a good idea about using e bird, like

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Speaker 1: a birding app where people share their bird sightings using

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Speaker 1: e bird to scout ducks. And he says, like, normally

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Speaker 1: this kid's a numb school, but that's a good idea. Well,

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Speaker 1: the kid heard that, and he wrote in He's like,

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Speaker 1: I think that that's me. I was just telling my

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Speaker 1: girlfriend's dad about.

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Speaker 8: This, and he knows that the girlfriend's dad listens to

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Speaker 8: the show, right.

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Speaker 2: There's gonna be a conversation that happens.

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Speaker 1: Between those now, he points out. He goes he was

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Speaker 1: under the assumption that the discussions he was having with

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Speaker 1: his future bother in law would be kept under wraps,

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Speaker 1: but now that the secret is out and that his

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Speaker 1: father in law, future father in law whatever didn't respect

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Speaker 1: the privacy of the conversation. Anyways, he wants to clarify something.

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Speaker 1: I was pointing out that I don't think that that

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Speaker 1: scouting tool is gonna be as quick as ducks, you know,

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Speaker 1: like like geese hit a field just I mean, you know,

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Speaker 1: if geese are in the field in the evening, you

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Speaker 1: know there's that's where you want to be in the morning.

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Speaker 1: But there's no like guarantee, you know. I mean it's like,

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Speaker 1: so I'm like by the time you like build up

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Speaker 1: a bunch of hosers driving by being like, oh I

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Speaker 1: saw a goose. You know that you're not going to

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Speaker 1: hunt off that old infot in a field, dude, Yeah,

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Speaker 1: well that's that's legit. A gobbler strutting field is like

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Speaker 1: he's somewhere around there, manpecially like old church, old cemetery nearby.

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Speaker 1: He's there. So I was like, it doesn't really work.

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Speaker 1: And he writes in this this has been a damn correction.

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Speaker 1: He goes, he brings up, how I question the up

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Speaker 1: to datingus of the material and he says, I'm not

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Speaker 1: sure if Steve is aware of a Handy e Bird

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Speaker 1: of a Handy e Bird tool called alerts, you can

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Speaker 1: request on e Bird's website to be notified as often

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Speaker 1: as hourly of sightings of birds. These alerts can be personalized,

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Speaker 1: and there are ways to set the alerts up to

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Speaker 1: notify you of species of particular interest. I'm often doing homework.

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Speaker 1: He says, he can't be that bad of a kid

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Speaker 1: and driving around. I don't know what that means.

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Speaker 2: I know what it meant for me back in the day.

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Speaker 1: And he'll get he'll get alerts, He'll get notifications alerting

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Speaker 1: him to where he should go find a species or

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Speaker 1: a bunch of species that I'm looking for. Okay, alerts.

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Speaker 5: You know.

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Speaker 1: I can see setting like setting into like strutting gobblers jump.

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Speaker 1: If there's a drop down menu, it can be like

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Speaker 1: like wandering hens. You be like, no, I don't really

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Speaker 1: care about that. This could be big strutters. You'd be like,

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Speaker 1: that's it's gonna set up.

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Speaker 7: Some odd moments because like when a when a hunter

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Speaker 7: and a burger arrive at the same spot the same time.

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Speaker 11: Later, like, you know, but couldn't you also see hunters

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Speaker 11: being like I'm gonna report strutting gobblers twenty.

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Speaker 12: And they are thick.

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Speaker 1: Oh yeah, that's a good point. I wouldn't have thought

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Speaker 1: you'd out smart at me, because you'd have been like,

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Speaker 1: if you knew I was doing it, you'd have been

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Speaker 1: like just showing you'd have strutters everywhere, but where there

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Speaker 1: was a strutter, right, Yeah, right. Then, then each user

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Speaker 1: would have to have their own sort of review rubric

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Speaker 1: that some people could rate their.

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Speaker 2: Post as like an old lady Burger.

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Speaker 1: Right. See, here's another piece of feedback that like, is

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Speaker 1: this guy's getting kind of screwed up set of boots.

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Speaker 1: But when we were talking about Neanderthals, I was talking

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Speaker 1: about a book I was reading, and in the book

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Speaker 1: I was reading, I was talking about how this anthropologist

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Speaker 1: was looking at the suite of injuries they find on

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Speaker 1: Neanderthal skeletons and how at some point in time, a

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Speaker 1: physician who worked on bull riders often in his community said, man,

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Speaker 1: it seems like the suites of injuries we see on

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Speaker 1: Neanderthal skeletons reminds me of the kind of injuries I

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Speaker 1: see on bull riders. And it led to this idea

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Speaker 1: that they had this like confrontational hunting strategy and they

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Speaker 1: were getting wounded by their prey, like how bull riders

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Speaker 1: get wounded by bulls. He says that that idea was

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Speaker 1: an idea, but as people have done more and more

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Speaker 1: research on it and looked into it, they're finding that

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Speaker 1: it's really it's really not and it has fallen out

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Speaker 1: of favor. The rodeo writer interpretation, he says, is largely

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Speaker 1: fallen out of favor. More research has shown that the

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Speaker 1: trauma patterns used to support the hypothesis or the hypothesis

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Speaker 1: are not unique to dangerous hunting scenarios. It can also

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Speaker 1: be explained by other factors, including interpersonal violence. As a result,

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Speaker 1: many researchers, including one of the original proponents, now consider

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Speaker 1: the confrontational hunting explanation to be undersupported. Our colleague Alex

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Speaker 1: Tilney wrote me, or told me over the phone he

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Speaker 1: was reading that same paper because he got interested in it,

433
00:26:46,160 --> 00:26:48,480
Speaker 1: and he said, you could also argue that they have

434
00:26:48,520 --> 00:26:51,040
Speaker 1: a suite of injuries similar to people who have been

435
00:26:51,040 --> 00:26:57,000
Speaker 1: in golf cart accidents, which leads one to believe they

436
00:26:57,000 --> 00:27:04,640
Speaker 1: were golfing. Here's this. One's not even kind of a correction.

437
00:27:04,720 --> 00:27:06,600
Speaker 1: But we'll get in. We gotta get moving on. We're

438
00:27:06,600 --> 00:27:08,960
Speaker 1: gonna get into this. I didn't know about this. This

439
00:27:09,040 --> 00:27:13,080
Speaker 1: guy's right, and now he's talking back to our screwerm episode.

440
00:27:13,560 --> 00:27:15,399
Speaker 1: So during World War one, I'm gonna try to make

441
00:27:15,400 --> 00:27:17,399
Speaker 1: it as quick as possible. Back during World War One,

442
00:27:17,520 --> 00:27:28,679
Speaker 1: America was supplying horses to the English Okay, we're breeding

443
00:27:28,720 --> 00:27:31,040
Speaker 1: horses and sentiment, because that was a war still fought on,

444
00:27:31,320 --> 00:27:36,080
Speaker 1: you know, to some extent, fought on horseback. The crowds

445
00:27:36,119 --> 00:27:46,920
Speaker 1: sent over an infectious disease spy to plant diseases in America,

446
00:27:46,960 --> 00:27:50,119
Speaker 1: to give anthrax and other disease. This guy got caught

447
00:27:50,680 --> 00:27:54,760
Speaker 1: and ran got away. He died in the Spanish flu epidemic.

448
00:27:55,720 --> 00:27:59,560
Speaker 1: He came here and was swabbing American horses with anthrags,

449
00:27:59,600 --> 00:28:02,119
Speaker 1: trying to kill the horses before they could join the

450
00:28:02,119 --> 00:28:03,479
Speaker 1: World War One war effort.

451
00:28:03,960 --> 00:28:07,320
Speaker 2: Dang wow, and he died of the flu. It's kind

452
00:28:07,320 --> 00:28:07,720
Speaker 2: of fitting.

453
00:28:07,800 --> 00:28:10,560
Speaker 1: He fled they they never caught him. He fled and

454
00:28:10,560 --> 00:28:17,080
Speaker 1: went up, dined and from the Spanish flu sucker over

455
00:28:17,119 --> 00:28:20,720
Speaker 1: to Randall. Yeah.

456
00:28:21,119 --> 00:28:23,720
Speaker 8: Now, Phil's gonna play a little segment here in honor

457
00:28:23,760 --> 00:28:27,439
Speaker 8: of marsh Madness. This was an interview I wanted to

458
00:28:27,440 --> 00:28:29,560
Speaker 8: do on Radio Live, but as we all know, it's

459
00:28:29,640 --> 00:28:33,840
Speaker 8: dead now and it's been dead for several weeks. So

460
00:28:34,359 --> 00:28:36,480
Speaker 8: we just pre recorded this interview with Will Cheddar of

461
00:28:36,480 --> 00:28:38,120
Speaker 8: the University of Michigan basketball team.

462
00:28:38,600 --> 00:28:39,200
Speaker 1: Play the tape.

463
00:28:39,200 --> 00:28:43,720
Speaker 8: Phil, Welcome to the Meet Eater News Sports Desk. I'm

464
00:28:43,760 --> 00:28:47,000
Speaker 8: your host, Randall Williams joined today by Will Cheddar, power

465
00:28:47,080 --> 00:28:50,120
Speaker 8: forward for the University of Michigan men's basketball team and

466
00:28:50,200 --> 00:28:54,520
Speaker 8: winner of Meat Eater Trivia Episode one thirty. Will congrats

467
00:28:54,560 --> 00:28:56,640
Speaker 8: on a great season so far thirty one and three,

468
00:28:56,800 --> 00:28:59,400
Speaker 8: going into the tournament as a number one seed, nineteen

469
00:28:59,400 --> 00:29:02,200
Speaker 8: to one in the Conference Big Ten champs and with

470
00:29:02,320 --> 00:29:05,120
Speaker 8: two dominant wins last week. The Wolverines are in the

471
00:29:05,160 --> 00:29:09,080
Speaker 8: Sweet sixteen, facing off against Alabama this Friday. When was

472
00:29:09,120 --> 00:29:10,920
Speaker 8: the last time you went fishing? And how was it?

473
00:29:12,360 --> 00:29:16,120
Speaker 5: I was actually out last night, went out to this

474
00:29:16,160 --> 00:29:20,720
Speaker 5: little inland lake about twenty minutes from campus and got

475
00:29:20,760 --> 00:29:22,960
Speaker 5: into the first small mouth of the year. So it

476
00:29:23,000 --> 00:29:25,480
Speaker 5: was pretty uh, pretty good to be back out on

477
00:29:25,480 --> 00:29:28,520
Speaker 5: the boat, back out on the lake after such a

478
00:29:28,520 --> 00:29:29,080
Speaker 5: good weekend.

479
00:29:29,240 --> 00:29:31,880
Speaker 8: And this is coach aware that you're fishing in between

480
00:29:31,920 --> 00:29:33,320
Speaker 8: tournament games.

481
00:29:33,760 --> 00:29:37,880
Speaker 2: Oh yeah, he's well aware. Good, he knows, he knows.

482
00:29:37,920 --> 00:29:38,600
Speaker 5: That's my pressure.

483
00:29:38,600 --> 00:29:39,880
Speaker 8: Earlea suck perfect.

484
00:29:40,720 --> 00:29:42,400
Speaker 5: Yeah, So we're all good there.

485
00:29:42,560 --> 00:29:44,880
Speaker 8: Well, I want to go back to late January. You're

486
00:29:44,960 --> 00:29:48,520
Speaker 8: eighty three seventy one victory on the road against Michigan State.

487
00:29:48,680 --> 00:29:51,000
Speaker 8: Huge win against the number eleven team in the country.

488
00:29:51,080 --> 00:29:53,320
Speaker 8: Your in state rivals and a program with a lot

489
00:29:53,320 --> 00:29:56,280
Speaker 8: of pedigree. Two days later, you posted a photo of

490
00:29:56,320 --> 00:29:58,840
Speaker 8: you pulling a bluegill out of the ice. What were

491
00:29:58,840 --> 00:30:02,120
Speaker 8: they biting on that day? Oh man?

492
00:30:02,640 --> 00:30:06,080
Speaker 5: Oh yeah, okay, so that was funny thing about that.

493
00:30:06,280 --> 00:30:09,960
Speaker 5: I was supposed to go salmon fishing at this harbor

494
00:30:10,040 --> 00:30:13,480
Speaker 5: up on Lake Huron and my spot had frozen over.

495
00:30:13,520 --> 00:30:14,520
Speaker 1: I was so pissed.

496
00:30:14,960 --> 00:30:17,959
Speaker 5: So we on the way back, we hit Lake Saint Clair,

497
00:30:19,520 --> 00:30:22,440
Speaker 5: just went into the canals and just hammered blue girls.

498
00:30:24,000 --> 00:30:26,840
Speaker 5: I think we were just tipping jigs, like little tungsten

499
00:30:26,920 --> 00:30:29,400
Speaker 5: jigs with with waxies.

500
00:30:29,600 --> 00:30:33,080
Speaker 8: So it's amazing. Yeah, now you got a talented squad

501
00:30:33,160 --> 00:30:36,840
Speaker 8: up there, some potential NBA draft picks. If you could

502
00:30:36,840 --> 00:30:39,080
Speaker 8: only fish for one species for the rest of your life,

503
00:30:39,120 --> 00:30:39,680
Speaker 8: what would it be?

504
00:30:39,720 --> 00:30:40,120
Speaker 1: And why?

505
00:30:40,960 --> 00:30:48,000
Speaker 5: Oh my, I'd probably have to say small mouth bass.

506
00:30:48,640 --> 00:30:48,760
Speaker 4: Uh.

507
00:30:49,120 --> 00:30:53,120
Speaker 5: Just you know, with you know how hard they fight,

508
00:30:53,160 --> 00:30:54,320
Speaker 5: they're they're fun to catch.

509
00:30:55,480 --> 00:30:55,680
Speaker 4: Uh.

510
00:30:55,760 --> 00:30:58,120
Speaker 8: Now, you guys have had some big changes during your

511
00:30:58,200 --> 00:31:01,080
Speaker 8: time in ann Arbor. Coaches. Steam May took over in

512
00:31:01,120 --> 00:31:04,360
Speaker 8: March at twenty four. You've had a lot of roster turnover.

513
00:31:05,120 --> 00:31:07,240
Speaker 8: Now in coach may second season, you guys are on

514
00:31:07,280 --> 00:31:09,320
Speaker 8: your way to the Sweet sixteen for the second year

515
00:31:09,360 --> 00:31:12,280
Speaker 8: in a row. Do you keep your own boat on campus?

516
00:31:15,560 --> 00:31:17,880
Speaker 5: Yeah, it's in my garage at our house.

517
00:31:18,400 --> 00:31:18,720
Speaker 1: Nice.

518
00:31:18,960 --> 00:31:22,840
Speaker 8: Nice, last question here? Will you guys have a tough

519
00:31:22,880 --> 00:31:26,040
Speaker 8: matchup on Friday against the number four seed Crimson Tide.

520
00:31:26,480 --> 00:31:28,920
Speaker 8: They're a high tempo, offensive minded team with some of

521
00:31:28,920 --> 00:31:32,280
Speaker 8: the nation's highest three point shooting volume in efficiency. When

522
00:31:32,360 --> 00:31:34,640
Speaker 8: was the last time you ate a fish that you caught.

523
00:31:37,800 --> 00:31:43,040
Speaker 5: Two weeks I didn't catch that one, man. I'd probably

524
00:31:43,080 --> 00:31:45,000
Speaker 5: say October was the last.

525
00:31:44,720 --> 00:31:47,600
Speaker 8: Time m preseason I had a fish.

526
00:31:47,720 --> 00:31:50,920
Speaker 5: Yeah, that was preseason. That was Lake Saint Clair walleyes.

527
00:31:51,200 --> 00:31:53,520
Speaker 5: I think that's probably the last time my buddy caught them,

528
00:31:54,120 --> 00:31:56,080
Speaker 5: well as when we went on on the Detroit River

529
00:31:56,160 --> 00:31:58,840
Speaker 5: a few weeks ago. But I can't lie I didn't

530
00:31:58,840 --> 00:31:59,480
Speaker 5: catch them.

531
00:31:59,320 --> 00:32:03,160
Speaker 8: So but I so very nice. Well, Will, thanks for

532
00:32:03,200 --> 00:32:05,320
Speaker 8: taking the time during a busy week. Best of you,

533
00:32:05,400 --> 00:32:07,360
Speaker 8: Luck to you guys moving forward in the tournament.

534
00:32:08,240 --> 00:32:08,760
Speaker 2: Appreciate it.

535
00:32:08,840 --> 00:32:10,959
Speaker 5: Mom.

536
00:32:11,080 --> 00:32:12,040
Speaker 1: That was a great segment.

537
00:32:12,120 --> 00:32:14,720
Speaker 8: Hey, guys would have killed on live.

538
00:32:17,680 --> 00:32:18,680
Speaker 2: Shout out to Will though.

539
00:32:18,560 --> 00:32:21,640
Speaker 8: He's I know he's a fan of the show and

540
00:32:22,120 --> 00:32:24,720
Speaker 8: he fishes. Probably harder than anybody in college sports.

541
00:32:24,760 --> 00:32:27,760
Speaker 1: So it's great to hardest fishermen in college sports.

542
00:32:27,840 --> 00:32:30,640
Speaker 8: I feel very confident in saying that.

543
00:32:31,480 --> 00:32:34,520
Speaker 1: Okay, so someone said us this, this is kind of

544
00:32:34,520 --> 00:32:36,640
Speaker 1: a funny thing. I gotta laugh out of this. Tony's

545
00:32:36,640 --> 00:32:39,480
Speaker 1: gonna explain it. I gotta laugh out of this. Phil

546
00:32:39,480 --> 00:32:41,600
Speaker 1: you got your little thing that makes the bleeps.

547
00:32:42,760 --> 00:32:44,120
Speaker 6: I can do it in post.

548
00:32:44,240 --> 00:32:44,720
Speaker 8: Yeah.

549
00:32:44,840 --> 00:32:48,520
Speaker 1: Yeah. So well, first off, Tony, can you explain how

550
00:32:48,600 --> 00:32:50,560
Speaker 1: can you explain what's going on? We'll read the letter,

551
00:32:50,680 --> 00:32:52,720
Speaker 1: but can you explain? Can you give the background on this? This?

552
00:32:52,720 --> 00:32:54,080
Speaker 1: This is this is out of Wisconsin.

553
00:32:54,240 --> 00:32:58,360
Speaker 11: So Wisconsin's turkey take system is they have a draw

554
00:32:58,520 --> 00:33:02,920
Speaker 11: the deadlines like December tenth every year get into it

555
00:33:03,120 --> 00:33:06,640
Speaker 11: and as you can imagine, people are trying to draw

556
00:33:06,720 --> 00:33:11,080
Speaker 11: early season tags. So Wisconsin has six seasons, seven zones

557
00:33:11,080 --> 00:33:15,120
Speaker 11: throughout the state, and the highest demand seasons are the

558
00:33:15,120 --> 00:33:18,120
Speaker 11: first couple because everybody wants to hunt first, right, So

559
00:33:18,200 --> 00:33:21,360
Speaker 11: people apply for those and generally those get soaked up

560
00:33:21,400 --> 00:33:25,080
Speaker 11: in the lottery. But Wisconsin has a quota system per

561
00:33:25,200 --> 00:33:31,080
Speaker 11: zone per season that they will sell one per day

562
00:33:31,840 --> 00:33:34,560
Speaker 11: after a certain point in March. So this year was

563
00:33:34,640 --> 00:33:38,080
Speaker 11: Mark even if the pool if there are tags left.

564
00:33:37,920 --> 00:33:42,600
Speaker 1: Okay, So if you apply for a season season A

565
00:33:43,480 --> 00:33:45,280
Speaker 1: and then it gets all filled up, they don't then

566
00:33:45,360 --> 00:33:48,240
Speaker 1: sell them online. No, it's only it's only.

567
00:33:48,320 --> 00:33:49,400
Speaker 12: So these are all leftovers.

568
00:33:50,840 --> 00:33:53,760
Speaker 11: But people count on it because Wisconsin has, i mean,

569
00:33:53,800 --> 00:33:55,800
Speaker 11: depending on the zone right southern part of the state,

570
00:33:55,960 --> 00:33:59,400
Speaker 11: tons of tags. You move farther north, fewer tags right

571
00:34:00,120 --> 00:34:03,160
Speaker 11: one zone. This year, Zone six didn't have any leftover tags,

572
00:34:03,240 --> 00:34:04,800
Speaker 11: so you couldn't for any season.

573
00:34:05,720 --> 00:34:08,200
Speaker 2: Is there a point system, Tony or is it just lottery?

574
00:34:08,280 --> 00:34:11,279
Speaker 11: Yeah, so there is a point system, but you can

575
00:34:11,400 --> 00:34:14,440
Speaker 11: kind of count on getting tags in a lot of places.

576
00:34:14,800 --> 00:34:16,719
Speaker 11: You know it might not be the season you want.

577
00:34:17,840 --> 00:34:21,200
Speaker 11: So what happens is every year in March, they'll have

578
00:34:21,239 --> 00:34:25,600
Speaker 11: a date and they go okay, Zone one licenses go

579
00:34:25,680 --> 00:34:30,920
Speaker 11: on sale at ten am on March sixteenth, March seventeenth

580
00:34:30,960 --> 00:34:33,279
Speaker 11: at ten am, Zone two, right on down the line

581
00:34:33,280 --> 00:34:35,719
Speaker 11: to whatever's left. And then once they've gone through this

582
00:34:35,840 --> 00:34:38,640
Speaker 11: first phase where it's just that day is dedicated to

583
00:34:38,680 --> 00:34:42,120
Speaker 11: that zone, then they're all first come, first serve and

584
00:34:42,160 --> 00:34:44,480
Speaker 11: you can buy one a day till they're gone. So,

585
00:34:44,520 --> 00:34:48,160
Speaker 11: as you can imagine, there's a lot of competition kills

586
00:34:48,200 --> 00:34:50,440
Speaker 11: takes because people are trying to buy the earliest tags

587
00:34:50,440 --> 00:34:52,759
Speaker 11: they can generally, or if you know the kids are

588
00:34:52,800 --> 00:34:53,840
Speaker 11: going to be off of school and you want to

589
00:34:53,920 --> 00:34:56,040
Speaker 11: hunt with them, you're trying to get that weekend or

590
00:34:56,480 --> 00:35:00,000
Speaker 11: however that falls for you. So this is a cis

591
00:35:00,120 --> 00:35:03,600
Speaker 11: them where you can show up fifteen minutes before the

592
00:35:03,640 --> 00:35:07,080
Speaker 11: ten am launch and get in line and you're waiting

593
00:35:07,080 --> 00:35:09,640
Speaker 11: there in a virtual queue and then at ten o'clock

594
00:35:09,680 --> 00:35:13,120
Speaker 11: they assign you a spot and so you might be

595
00:35:13,960 --> 00:35:14,680
Speaker 11: fifth in line.

596
00:35:14,719 --> 00:35:16,759
Speaker 1: And it's not how it's not tied to how long

597
00:35:16,800 --> 00:35:17,600
Speaker 1: you were on the phone.

598
00:35:17,960 --> 00:35:19,200
Speaker 12: Nope, nope.

599
00:35:19,200 --> 00:35:20,640
Speaker 1: So you can be there eight hours early.

600
00:35:21,120 --> 00:35:24,200
Speaker 11: Well you can only get into the virtual q fifteen

601
00:35:24,239 --> 00:35:28,680
Speaker 11: minutes early, right, So, and I know you're going to

602
00:35:28,760 --> 00:35:31,759
Speaker 11: go into this, but in the interest of journalistic integrity

603
00:35:32,120 --> 00:35:33,719
Speaker 11: to do whatever you want, I have to say that

604
00:35:33,840 --> 00:35:37,920
Speaker 11: I was involved in this, and so was Patrick Durkin,

605
00:35:38,080 --> 00:35:38,839
Speaker 11: our mutual friend.

606
00:35:38,920 --> 00:35:40,279
Speaker 1: So's bubbly Doug. Right.

607
00:35:41,360 --> 00:35:44,480
Speaker 11: So I it worked out in the end, but I

608
00:35:44,520 --> 00:35:47,480
Speaker 11: went through this what we're going to get into. But

609
00:35:47,520 --> 00:35:49,200
Speaker 11: that is that's the gist of the system.

610
00:35:49,320 --> 00:35:51,000
Speaker 1: That's how it works. You know, I want to just

611
00:35:51,200 --> 00:35:53,160
Speaker 1: a little added color here, because this has helped explain

612
00:35:53,200 --> 00:35:56,680
Speaker 1: a thing to me. Is like, take take Doug, where

613
00:35:56,680 --> 00:36:01,240
Speaker 1: Doug lives, right, Doug will usually say, and I'm understanding

614
00:36:01,280 --> 00:36:05,320
Speaker 1: it better now, he usually say, there will be D season.

615
00:36:05,360 --> 00:36:09,520
Speaker 1: There's He'd be like, there's always some D seasons meaning

616
00:36:09,880 --> 00:36:13,840
Speaker 1: whatever by that means A, B C get consumed in

617
00:36:13,880 --> 00:36:16,960
Speaker 1: the draw, but then there's but then there's some D.

618
00:36:17,080 --> 00:36:19,040
Speaker 1: So you might be on the lottery, you're not hoping

619
00:36:19,080 --> 00:36:21,239
Speaker 1: to score a A. You're in the Q waiting to

620
00:36:21,280 --> 00:36:22,200
Speaker 1: get a D, just.

621
00:36:22,120 --> 00:36:23,719
Speaker 12: Trying to get something because that's what's there.

622
00:36:23,800 --> 00:36:27,000
Speaker 11: That's what's there, right, So you got to imagine like

623
00:36:27,040 --> 00:36:29,080
Speaker 11: a lot of Midwestern states, you're talking to mid April

624
00:36:29,120 --> 00:36:32,360
Speaker 11: opener that goes through the end of May. And so

625
00:36:32,520 --> 00:36:34,240
Speaker 11: if you look at where Doug lives, I would assume

626
00:36:34,400 --> 00:36:37,120
Speaker 11: Doug is in Zone one, which has a ton of tags.

627
00:36:38,120 --> 00:36:40,480
Speaker 11: So the highest priority one will be the first season

628
00:36:40,520 --> 00:36:43,879
Speaker 11: that's available after the lottery, which will often you can

629
00:36:43,920 --> 00:36:47,920
Speaker 11: count on D season, right, and if you wanted to

630
00:36:48,000 --> 00:36:49,800
Speaker 11: hunt later than that, you can count on the seasons

631
00:36:49,840 --> 00:36:52,600
Speaker 11: after that, and you could end up having multiple tags

632
00:36:52,640 --> 00:36:56,360
Speaker 11: if you want. So it's it's actually a really cool

633
00:36:56,400 --> 00:36:59,960
Speaker 11: system because you can kind of if you if you

634
00:37:00,160 --> 00:37:03,240
Speaker 11: have the opportunity, you can hunt a couple different weeks

635
00:37:03,320 --> 00:37:05,160
Speaker 11: or you know, I mean you can you can plan

636
00:37:05,239 --> 00:37:05,799
Speaker 11: around that.

637
00:37:06,080 --> 00:37:12,319
Speaker 1: But this style, their style of running a whole ton

638
00:37:12,400 --> 00:37:16,440
Speaker 1: of turkey seasons that are all one week long or

639
00:37:16,520 --> 00:37:21,680
Speaker 1: roughly one week long. That's an odds system, it is.

640
00:37:22,400 --> 00:37:25,080
Speaker 1: It is. Yeah, so you like, instead of being like, oh,

641
00:37:25,200 --> 00:37:27,399
Speaker 1: curkey season, I'm gonna hunt for six weeks, it's like, no,

642
00:37:27,440 --> 00:37:28,359
Speaker 1: you're gonna hunt a week.

643
00:37:28,480 --> 00:37:30,200
Speaker 8: It's like Colorado Big Game season.

644
00:37:30,280 --> 00:37:33,000
Speaker 1: Yeah, Colorado's Big game season. Like you're like the first season,

645
00:37:33,000 --> 00:37:35,040
Speaker 1: second season, third season, fourth season, right.

646
00:37:34,920 --> 00:37:38,400
Speaker 11: And it's so I'm I'm less sensitive to it because

647
00:37:38,440 --> 00:37:43,239
Speaker 11: Minnesota has gone through we've way liberalized at home. But

648
00:37:43,840 --> 00:37:46,080
Speaker 11: when I started turkey hunting, you had a draw season

649
00:37:46,120 --> 00:37:48,760
Speaker 11: and you had five days and it was half days,

650
00:37:49,200 --> 00:37:49,640
Speaker 11: so you can.

651
00:37:49,600 --> 00:37:50,239
Speaker 12: Hunt till noon.

652
00:37:50,760 --> 00:37:53,399
Speaker 11: And then they started expanding it and eventually we could

653
00:37:53,480 --> 00:37:55,560
Speaker 11: hunt till three thirty, and then we could hunt till sunset,

654
00:37:55,600 --> 00:37:59,600
Speaker 11: and eventually they sold a season long archery license so

655
00:37:59,600 --> 00:38:03,640
Speaker 11: you could get the six weeks. So this is, you know,

656
00:38:03,719 --> 00:38:05,879
Speaker 11: I don't know where this originated from but I would

657
00:38:05,920 --> 00:38:10,080
Speaker 11: assume that this system is old and it comes from

658
00:38:10,080 --> 00:38:12,880
Speaker 11: when they didn't have very many turkeys, because that's where ours,

659
00:38:13,000 --> 00:38:15,480
Speaker 11: you know, came from.

660
00:38:15,640 --> 00:38:18,120
Speaker 7: So it might be an aspect of spread and pressure

661
00:38:18,160 --> 00:38:18,879
Speaker 7: out to there.

662
00:38:19,120 --> 00:38:21,879
Speaker 12: It definitely is, sure, man, it definitely is.

663
00:38:21,840 --> 00:38:25,040
Speaker 1: Because not everybody is all going to hunt the opener, right,

664
00:38:25,160 --> 00:38:26,400
Speaker 1: or the bulk people going hunt the.

665
00:38:26,360 --> 00:38:28,480
Speaker 11: Open and if you're a non resident, you're just about

666
00:38:28,520 --> 00:38:30,520
Speaker 11: never going to hunt those early seasons.

667
00:38:30,600 --> 00:38:33,759
Speaker 1: So was this deal here that happened? Was it really

668
00:38:33,800 --> 00:38:34,760
Speaker 1: that different than normal?

669
00:38:35,600 --> 00:38:36,759
Speaker 12: Well? Do you want to get into that?

670
00:38:36,920 --> 00:38:39,280
Speaker 1: Yeah, yeah, you want to get it? Should I should?

671
00:38:39,280 --> 00:38:39,719
Speaker 1: I read the thing?

672
00:38:39,800 --> 00:38:40,320
Speaker 12: Yeah you should?

673
00:38:40,320 --> 00:38:45,720
Speaker 1: So someone rent like a frustrated user, Your system sucks.

674
00:38:47,400 --> 00:38:51,320
Speaker 1: Waited in line was three thousand and eight hundred in line,

675
00:38:52,520 --> 00:38:54,359
Speaker 1: I live in zone two and you gave me a

676
00:38:54,600 --> 00:38:59,040
Speaker 1: permit for zone seven. Then I waited for the bonus,

677
00:38:59,080 --> 00:39:01,239
Speaker 1: waited all the way to my number, and your thing

678
00:39:01,760 --> 00:39:07,440
Speaker 1: bailed out on me. You inbred peace is a I'm

679
00:39:07,480 --> 00:39:10,680
Speaker 1: not even gonna say it, mother.

680
00:39:13,480 --> 00:39:16,480
Speaker 4: There are no periods or commas in that comment.

681
00:39:17,640 --> 00:39:22,720
Speaker 1: Not Donald well, Donald not happy right, not Donald Trump?

682
00:39:23,040 --> 00:39:25,200
Speaker 1: No same number.

683
00:39:27,600 --> 00:39:30,880
Speaker 8: The d NR's response. I noticed the DNR replied.

684
00:39:31,120 --> 00:39:32,399
Speaker 1: They replied to it, I can't.

685
00:39:33,640 --> 00:39:34,960
Speaker 8: That's right. Sorry, I didn't mean to.

686
00:39:35,640 --> 00:39:40,600
Speaker 3: I'm scrolling through the comments now I can't find Don's post, So.

687
00:39:40,600 --> 00:39:44,680
Speaker 1: Don don s miffed, fired up? Ain't winning Don back.

688
00:39:45,600 --> 00:39:47,680
Speaker 12: I can tell you that I was too, you were.

689
00:39:48,040 --> 00:39:51,360
Speaker 11: So I got into that virtual queue, and I have

690
00:39:51,480 --> 00:39:53,600
Speaker 11: added pressure because I need to get myself a tag,

691
00:39:53,640 --> 00:39:54,640
Speaker 11: and then I need to try to get in and

692
00:39:54,640 --> 00:39:56,920
Speaker 11: get my daughter's tags. So I have to log in,

693
00:39:57,440 --> 00:39:59,880
Speaker 11: get in line, log in until I'm stressing.

694
00:40:00,440 --> 00:40:03,120
Speaker 12: I get into line. Are they assigned me my spot?

695
00:40:03,160 --> 00:40:05,960
Speaker 11: I have four people ahead of me, which made me

696
00:40:06,080 --> 00:40:08,520
Speaker 11: feel like when you get in really early boat drawing

697
00:40:08,560 --> 00:40:11,160
Speaker 11: a tournament and you're like, nobody's gonna be on my

698
00:40:11,200 --> 00:40:11,920
Speaker 11: starting spot.

699
00:40:12,040 --> 00:40:13,280
Speaker 12: This is a smooth sailing.

700
00:40:14,440 --> 00:40:16,640
Speaker 11: So I get in, go to buy my teg simple

701
00:40:17,160 --> 00:40:19,840
Speaker 11: and then it won't process my payment, and you know,

702
00:40:19,960 --> 00:40:22,960
Speaker 11: you're on the ticking clock because they're funneling through a

703
00:40:22,960 --> 00:40:25,040
Speaker 11: bunch of people. And this is before they had issued

704
00:40:25,080 --> 00:40:29,359
Speaker 11: a hey, we were having technical difficulties stick around, you know,

705
00:40:29,440 --> 00:40:33,239
Speaker 11: the spinning wheel death or whatever, and so I'm like, okay,

706
00:40:33,280 --> 00:40:35,200
Speaker 11: they're going to boot me out. I tried to buy

707
00:40:35,200 --> 00:40:37,799
Speaker 11: it five thousand times, but I'm like, I don't want

708
00:40:37,840 --> 00:40:42,120
Speaker 11: to refresh or go back because I'll lose my spot. Yeah,

709
00:40:42,160 --> 00:40:45,239
Speaker 11: and I had, you know, four people ahead of me,

710
00:40:45,280 --> 00:40:47,120
Speaker 11: you know, and you know thousands of people.

711
00:40:46,840 --> 00:40:49,360
Speaker 12: Are in line. You feel the weight of all those people.

712
00:40:49,360 --> 00:40:50,799
Speaker 12: I felt a lot of weight there.

713
00:40:51,080 --> 00:40:54,400
Speaker 11: And so then the system kicks me out, and so

714
00:40:54,480 --> 00:40:57,640
Speaker 11: I have a little Dad Anger temper tantrum that you

715
00:40:57,680 --> 00:40:59,480
Speaker 11: get sometimes when you got to build an exercise bike

716
00:40:59,560 --> 00:41:04,920
Speaker 11: or something, fix the garage door. So then I have

717
00:41:04,960 --> 00:41:08,160
Speaker 11: to get back in, you know. They they they issue

718
00:41:08,560 --> 00:41:10,480
Speaker 11: the statement that it's not working. They're running through a

719
00:41:10,520 --> 00:41:16,920
Speaker 11: technical payment processing glitch. I'm waiting to get back in.

720
00:41:17,160 --> 00:41:19,560
Speaker 11: I'm waiting for them to start letting us queue up.

721
00:41:20,239 --> 00:41:26,319
Speaker 11: And I checked my email just randomly, and it had

722
00:41:26,320 --> 00:41:32,120
Speaker 11: a receipt from the Wisconsin DNR. And so I'm like, okay,

723
00:41:32,120 --> 00:41:33,960
Speaker 11: did I get my license? And then I looked at

724
00:41:34,000 --> 00:41:36,360
Speaker 11: my U like see if there's anything pending on my

725
00:41:36,440 --> 00:41:39,040
Speaker 11: credit card, and there was. So I'm like, my payment

726
00:41:39,239 --> 00:41:42,640
Speaker 11: somehow must have gotten through even though I didn't know

727
00:41:42,680 --> 00:41:44,120
Speaker 11: it and it didn't show me. I didn't have the

728
00:41:44,160 --> 00:41:47,120
Speaker 11: receipt on the actual go Wild site but I got

729
00:41:47,120 --> 00:41:50,239
Speaker 11: to wait in line anyway because I got to get

730
00:41:50,239 --> 00:41:53,120
Speaker 11: my daughters in there. They finally open it up. I

731
00:41:53,160 --> 00:41:55,160
Speaker 11: get back in there are I can't remember what place.

732
00:41:54,960 --> 00:41:57,040
Speaker 1: I see that you put yourself in front of your daughters.

733
00:41:58,239 --> 00:42:05,399
Speaker 11: Well here's why. I hunt with a buddy of mine

734
00:42:05,400 --> 00:42:09,080
Speaker 11: down there, and I knew that I would be able

735
00:42:09,120 --> 00:42:12,960
Speaker 11: to probably get one of my daughter's tags, if not

736
00:42:13,040 --> 00:42:15,120
Speaker 11: both of them. But I'm like, I got to take

737
00:42:15,160 --> 00:42:17,880
Speaker 11: one of them for sure. So we're gonna hunt together

738
00:42:18,239 --> 00:42:19,719
Speaker 11: kind of thing. And we're gonna hunt with him, So

739
00:42:19,760 --> 00:42:22,200
Speaker 11: I'm like, I knew we would get the tags probably.

740
00:42:23,520 --> 00:42:24,480
Speaker 1: Did it make any sense to you?

741
00:42:25,000 --> 00:42:27,880
Speaker 11: I wasn't anticipating this, Like I'm like, I'm going to

742
00:42:27,920 --> 00:42:28,799
Speaker 11: get in, but.

743
00:42:28,800 --> 00:42:32,560
Speaker 1: Yeah, generally like yeah, right right.

744
00:42:34,280 --> 00:42:37,080
Speaker 12: So I get kicked back in.

745
00:42:37,120 --> 00:42:39,239
Speaker 11: I got like eleven thousand people in front of me,

746
00:42:40,320 --> 00:42:42,200
Speaker 11: and I'm like, this has been like an hour and

747
00:42:42,200 --> 00:42:46,520
Speaker 11: a half. Deal, it goes by fairly quick. Finally get

748
00:42:46,520 --> 00:42:50,000
Speaker 11: in there, buy one of my daughter's tag and I'm like,

749
00:42:50,040 --> 00:42:52,080
Speaker 11: I wonder if this will let me just use this window?

750
00:42:52,680 --> 00:42:55,040
Speaker 11: And I got back in got the other one tags.

751
00:42:55,120 --> 00:42:59,200
Speaker 11: So I'm a fairly good father. I guess not as

752
00:42:59,239 --> 00:43:04,400
Speaker 11: good as I thought I would. When I started this story. Anyway,

753
00:43:04,600 --> 00:43:07,879
Speaker 11: people start losing their shit, like you start seeing this

754
00:43:08,280 --> 00:43:11,920
Speaker 11: out there, right, And so Karin asked me to look

755
00:43:11,960 --> 00:43:14,240
Speaker 11: into this for this because we knew this Donald Feller

756
00:43:14,680 --> 00:43:17,440
Speaker 11: was pretty ticked off. And I know, even though I'm

757
00:43:17,480 --> 00:43:19,640
Speaker 11: a Minnesota resident, I hunt Wisconsin all the time my

758
00:43:19,680 --> 00:43:23,040
Speaker 11: own land over there, I know the general vibe toward

759
00:43:23,080 --> 00:43:28,920
Speaker 11: the DNR, like there's Wisconsin hunters are not shy about

760
00:43:29,320 --> 00:43:32,239
Speaker 11: speaking out against the DNR. So I dig into this

761
00:43:32,360 --> 00:43:37,480
Speaker 11: and I find an article by Pat in where where

762
00:43:37,520 --> 00:43:41,040
Speaker 11: he has he had the same experience and wrote he

763
00:43:41,080 --> 00:43:46,880
Speaker 11: did write about it. And in Pat's article he referred

764
00:43:46,920 --> 00:43:50,920
Speaker 11: to this this problem with their system as a thundering

765
00:43:51,000 --> 00:43:54,879
Speaker 11: herd problem in the IT world, which I love as

766
00:43:54,920 --> 00:43:57,400
Speaker 11: a name. Right, everybody runs to the same spot the

767
00:43:57,680 --> 00:44:02,680
Speaker 11: system crashes. And so in his reporting, Pat said that

768
00:44:02,760 --> 00:44:05,759
Speaker 11: this thundering herd problem, which shuts down the system for

769
00:44:05,800 --> 00:44:08,880
Speaker 11: a while, has happened in Wisconsin three times in eighteen years.

770
00:44:09,239 --> 00:44:10,879
Speaker 12: And when I read that, I was like, man, I.

771
00:44:10,880 --> 00:44:14,000
Speaker 11: Kind of remember going through this at some other point,

772
00:44:14,920 --> 00:44:20,400
Speaker 11: so it's it has definitely happened before. But this Donald

773
00:44:20,440 --> 00:44:23,720
Speaker 11: fellow blaming the Wisconsin DNR and people getting super pissed.

774
00:44:24,120 --> 00:44:26,520
Speaker 11: You know, we know because of what we do with

775
00:44:26,600 --> 00:44:32,000
Speaker 11: this with this company. Sometimes you contract out services, right,

776
00:44:32,239 --> 00:44:36,360
Speaker 11: So the Wisconsin DNR doesn't really run that service, you

777
00:44:36,360 --> 00:44:37,680
Speaker 11: know it is. It is contracts.

778
00:44:37,680 --> 00:44:39,520
Speaker 1: It's not like a game warden sitting there.

779
00:44:41,280 --> 00:44:42,960
Speaker 12: Pour it down like what.

780
00:44:43,719 --> 00:44:46,960
Speaker 11: It reminded me of, you know, back in the day

781
00:44:46,960 --> 00:44:50,120
Speaker 11: of being being primarily an outdoor writer, which was my

782
00:44:50,160 --> 00:44:51,479
Speaker 11: gig for a long time, and a lot of people

783
00:44:51,480 --> 00:44:53,040
Speaker 11: in here have done that. You know how it is

784
00:44:53,080 --> 00:44:56,400
Speaker 11: where you send something in and maybe it's supposed to

785
00:44:56,480 --> 00:44:58,279
Speaker 11: be two thousand words and you send it in at

786
00:44:58,320 --> 00:45:00,600
Speaker 11: twenty two hundred or you know, they get they sell

787
00:45:00,640 --> 00:45:02,120
Speaker 11: an ad and they got to cut it down by

788
00:45:02,200 --> 00:45:04,320
Speaker 11: three hundred words. And that's where a lot of typos

789
00:45:04,360 --> 00:45:06,960
Speaker 11: and the magazines came from. Was, you know, that last

790
00:45:07,000 --> 00:45:08,840
Speaker 11: minute edit where you're like, we got to get this

791
00:45:08,880 --> 00:45:11,080
Speaker 11: down to fifteen hundred words to fit, and you'd see

792
00:45:11,080 --> 00:45:13,920
Speaker 11: some continuity issue in there somewhere, and then people would

793
00:45:13,920 --> 00:45:15,600
Speaker 11: call you out as the writer and be like you

794
00:45:15,680 --> 00:45:16,320
Speaker 11: suck man.

795
00:45:16,360 --> 00:45:18,120
Speaker 13: Yeah, yeah, yeah, and you're like, I didn't you don't

796
00:45:18,120 --> 00:45:21,239
Speaker 13: even know grim or right, right, so I feel like

797
00:45:21,560 --> 00:45:25,239
Speaker 13: the Wisconsin DNR has has been blamed in a way

798
00:45:25,239 --> 00:45:27,200
Speaker 13: that maybe they shouldn't be.

799
00:45:28,560 --> 00:45:30,600
Speaker 11: And so I dug into that a little more because

800
00:45:31,280 --> 00:45:34,080
Speaker 11: I understand why people were so pissed off because I

801
00:45:34,239 --> 00:45:37,680
Speaker 11: was having gone through it. But we haven't had all

802
00:45:37,760 --> 00:45:41,000
Speaker 11: kinds of thundering herd problems in the outdoor space. So

803
00:45:41,040 --> 00:45:43,040
Speaker 11: I don't know if anybody had to buy or tried

804
00:45:43,080 --> 00:45:46,879
Speaker 11: to buy an Idaho tagus for that was I think

805
00:45:46,920 --> 00:45:52,399
Speaker 11: twenty twenty two, Idaho had a day long system crash.

806
00:45:52,440 --> 00:45:55,839
Speaker 11: Pennsylvania had this happened with Antler list tags in twenty

807
00:45:55,880 --> 00:45:59,080
Speaker 11: twenty three, and so it's not this is just a

808
00:45:59,120 --> 00:46:02,440
Speaker 11: thing that happened ye with technology. And then I so

809
00:46:02,520 --> 00:46:04,720
Speaker 11: then I was like, well where else does this happen?

810
00:46:05,480 --> 00:46:08,360
Speaker 11: Ariana Grande in twenty twenty five and six million people

811
00:46:08,400 --> 00:46:12,040
Speaker 11: try to buy a pre sale ticket event crash the

812
00:46:12,080 --> 00:46:16,280
Speaker 11: whole thing, Oasis Reunion Tour, same really.

813
00:46:18,160 --> 00:46:19,680
Speaker 12: Right right right?

814
00:46:21,000 --> 00:46:23,520
Speaker 11: A CDC in twenty twenty four had thirty five thousand

815
00:46:23,520 --> 00:46:25,440
Speaker 11: people rushed the digital door understruck.

816
00:46:25,719 --> 00:46:27,880
Speaker 7: Those aren't the kind of fans you want to get mad.

817
00:46:28,000 --> 00:46:33,920
Speaker 11: Right Super recent Super Bowls, NBA Finals video game releases,

818
00:46:34,200 --> 00:46:39,600
Speaker 11: Comic Con events, Harvard University commencement access.

819
00:46:40,040 --> 00:46:41,880
Speaker 12: I've had it apparently.

820
00:46:42,160 --> 00:46:44,600
Speaker 11: And didn't keep that House of the Mouse, while Disney

821
00:46:44,600 --> 00:46:46,439
Speaker 11: World has had this happen too, So.

822
00:46:48,440 --> 00:46:50,560
Speaker 12: This is a thank you.

823
00:46:51,120 --> 00:46:55,560
Speaker 11: This is a problem that just happens now. The one

824
00:46:55,560 --> 00:47:00,000
Speaker 11: thing that I didn't encounter in any of the twenty two.

825
00:47:00,000 --> 00:47:01,360
Speaker 12: Minutes I did researching.

826
00:47:01,040 --> 00:47:06,919
Speaker 1: This was was the situation where no, it's good.

827
00:47:08,160 --> 00:47:10,759
Speaker 11: Donald said that he had tried to get a I

828
00:47:10,800 --> 00:47:12,520
Speaker 11: think he said zone two tag and ended up with

829
00:47:12,600 --> 00:47:15,360
Speaker 11: Zone seven or something. I didn't see that anywhere, and

830
00:47:15,400 --> 00:47:17,000
Speaker 11: I even went to I almost.

831
00:47:16,640 --> 00:47:18,600
Speaker 1: Wonder if Donald didn't maybe make a mistake.

832
00:47:18,760 --> 00:47:21,920
Speaker 11: Well, so you would think that, but in the system

833
00:47:22,000 --> 00:47:24,319
Speaker 11: you really shouldn't be able to because when you when

834
00:47:24,360 --> 00:47:26,520
Speaker 11: you get in on the specific day, there's a drop down,

835
00:47:27,360 --> 00:47:29,520
Speaker 11: you know, it's like zone one tag and then a

836
00:47:29,600 --> 00:47:32,279
Speaker 11: drop down for the season, and it doesn't let you go.

837
00:47:32,640 --> 00:47:33,680
Speaker 1: So it wasn't his fault.

838
00:47:33,840 --> 00:47:38,040
Speaker 11: But and so I went to like the state page,

839
00:47:38,160 --> 00:47:40,680
Speaker 11: the Wisconsin state page on both site. You know, I

840
00:47:40,719 --> 00:47:42,279
Speaker 11: went to some forums to just see if there were

841
00:47:42,280 --> 00:47:45,080
Speaker 11: other people bitching about that kind of thing, and I

842
00:47:45,120 --> 00:47:47,360
Speaker 11: didn't find it anywhere else. So that one is like

843
00:47:47,480 --> 00:47:50,799
Speaker 11: a little bit of a mystery on what happened there.

844
00:47:51,520 --> 00:47:55,760
Speaker 3: I found the Wisconsin dn r's response on Facebook to Donald,

845
00:47:56,000 --> 00:47:58,040
Speaker 3: and Donald replied to them.

846
00:47:58,120 --> 00:47:59,600
Speaker 1: Again, did they make amends?

847
00:47:59,640 --> 00:48:01,640
Speaker 3: Well, and I will do some role playing for you.

848
00:48:02,160 --> 00:48:04,439
Speaker 3: I will be the Wisconsin dn R. Randall is going

849
00:48:04,480 --> 00:48:08,279
Speaker 3: to be Donald. So Wisconsin DNR says, Hi, Donald, we

850
00:48:08,320 --> 00:48:10,239
Speaker 3: are aware of the issue and are working with our

851
00:48:10,280 --> 00:48:18,200
Speaker 3: technology provider to resolve it. You No, yes, just simple.

852
00:48:18,880 --> 00:48:21,200
Speaker 1: He needs to just have his license, yanks man.

853
00:48:21,719 --> 00:48:24,400
Speaker 3: Really, Yeah, he's got his full name on Facebook.

854
00:48:24,560 --> 00:48:25,400
Speaker 1: That's what he said.

855
00:48:25,960 --> 00:48:27,480
Speaker 3: Yeah, I'm looking at it right here.

856
00:48:29,000 --> 00:48:31,759
Speaker 8: God loves the turkeys really quick.

857
00:48:31,760 --> 00:48:33,719
Speaker 1: This episode airs tomorrow, so I don't have a lot

858
00:48:33,719 --> 00:48:35,759
Speaker 1: of time to go through and bleep stuff out.

859
00:48:35,840 --> 00:48:39,520
Speaker 7: So I'm just trying to go get a turkey with

860
00:48:39,560 --> 00:48:40,440
Speaker 7: a license or not.

861
00:48:40,920 --> 00:48:45,200
Speaker 8: Sorry, Phil, with the full context, I regret doing what I.

862
00:48:45,200 --> 00:48:50,600
Speaker 1: Just thank you, Thank you, Tony. Over to Brody Tungsten, Like,

863
00:48:51,280 --> 00:48:56,320
Speaker 1: speaking of turkey, did you interview Max Barta's party reported?

864
00:48:57,560 --> 00:48:58,800
Speaker 1: This is a big deal.

865
00:49:00,040 --> 00:49:02,040
Speaker 7: So if you're not aware of your a turkey hunter,

866
00:49:02,080 --> 00:49:07,400
Speaker 7: and you're not aware that tss AMMO is extremely expensive.

867
00:49:07,440 --> 00:49:08,240
Speaker 2: If you can even.

868
00:49:08,080 --> 00:49:13,040
Speaker 7: Get your hands on it these days, and some people

869
00:49:13,120 --> 00:49:16,480
Speaker 7: might not be aware of why that is. And there's

870
00:49:16,480 --> 00:49:21,239
Speaker 7: a global tungsten shortage, mostly driven by China's dominance and

871
00:49:21,440 --> 00:49:25,680
Speaker 7: kind of like owning the tungsten mining field. But there's

872
00:49:25,719 --> 00:49:32,920
Speaker 7: also like export restrictions, tariffs, and rising military like global

873
00:49:33,480 --> 00:49:38,240
Speaker 7: geopolitical conflicts wars if you will. So in the last

874
00:49:38,440 --> 00:49:41,880
Speaker 7: year or so, the price of like raw tungsten is

875
00:49:41,960 --> 00:49:50,200
Speaker 7: up five ye inventory is nearly depleted. It's likely a

876
00:49:50,320 --> 00:49:55,879
Speaker 7: multi year supply deficit. Supplies are nearly exhausted, I said,

877
00:49:55,880 --> 00:50:00,319
Speaker 7: And and like productions, so the production can't like cover

878
00:50:00,480 --> 00:50:04,160
Speaker 7: or ramp up, there's just no way, and competition for

879
00:50:04,239 --> 00:50:05,759
Speaker 7: the resources increasing.

880
00:50:06,880 --> 00:50:09,680
Speaker 1: And then this up has a self perpetuating quality because

881
00:50:09,680 --> 00:50:11,319
Speaker 1: the minute I learned about this, what did I do

882
00:50:13,280 --> 00:50:14,040
Speaker 1: the same thing?

883
00:50:14,160 --> 00:50:16,120
Speaker 2: I did the same exact thing.

884
00:50:16,160 --> 00:50:18,080
Speaker 1: I was twenty two animal crisis.

885
00:50:18,160 --> 00:50:18,359
Speaker 5: Yep.

886
00:50:18,719 --> 00:50:20,479
Speaker 1: All my life I'd always bought like a little box

887
00:50:20,520 --> 00:50:22,720
Speaker 1: of twenty two shelves to men. There was an animal crisis.

888
00:50:22,760 --> 00:50:24,920
Speaker 1: I'm like, I need three bricks.

889
00:50:24,640 --> 00:50:27,880
Speaker 2: Right, yeah, No, I went out and how many of

890
00:50:27,880 --> 00:50:28,360
Speaker 2: these things?

891
00:50:28,360 --> 00:50:31,400
Speaker 7: So I got how many do I need to buy?

892
00:50:31,840 --> 00:50:36,440
Speaker 7: The reason tungsten is is like highly coveted materials. It's

893
00:50:36,800 --> 00:50:39,719
Speaker 7: very dense, very hard, very heat resistant, and it's like

894
00:50:40,239 --> 00:50:45,560
Speaker 7: beyond Turkey AMO. It's used in defense and military systems, aerospace, electronics,

895
00:50:46,160 --> 00:50:52,200
Speaker 7: industrial applications. And so the main drivers of the supply

896
00:50:52,360 --> 00:50:57,120
Speaker 7: problem are is China, who kind of controls eighty percent

897
00:50:57,280 --> 00:51:03,120
Speaker 7: of the global supply HMM and terrace on Chinese tungsten

898
00:51:03,200 --> 00:51:05,960
Speaker 7: are up two to three in the last year or so,

899
00:51:06,680 --> 00:51:09,239
Speaker 7: and so exports have dropped to nearly.

900
00:51:09,080 --> 00:51:10,439
Speaker 2: Zero in the last year.

901
00:51:10,520 --> 00:51:14,120
Speaker 7: And on top of the China thing, we've got wars

902
00:51:14,160 --> 00:51:16,680
Speaker 7: going on in Ukraine now a new one in Iran,

903
00:51:16,920 --> 00:51:18,720
Speaker 7: and tungsten's used in Iran.

904
00:51:19,280 --> 00:51:21,560
Speaker 2: What's that Iran? Around Iran?

905
00:51:23,880 --> 00:51:27,840
Speaker 7: Tungsten's used in armoured piercing rounds, missiles and other.

906
00:51:29,400 --> 00:51:30,839
Speaker 2: High performance munitions.

907
00:51:31,120 --> 00:51:33,080
Speaker 1: Just got to go back to shooting turkeys the old way.

908
00:51:33,239 --> 00:51:33,799
Speaker 5: We'll get to that.

909
00:51:35,000 --> 00:51:36,040
Speaker 2: We'll get to that man.

910
00:51:37,120 --> 00:51:41,319
Speaker 7: And this is something I didn't consider, is tungsen that's

911
00:51:41,440 --> 00:51:46,000
Speaker 7: used in warfare is permanently removed from the global supply, right,

912
00:51:46,160 --> 00:51:49,000
Speaker 7: so it can't be like once you shoot, it is gone.

913
00:51:50,360 --> 00:51:55,080
Speaker 7: And supply chains are shifting towards military allocation first, like

914
00:51:55,800 --> 00:51:59,600
Speaker 7: industry turkey hunting. That's all like way down the line,

915
00:52:00,280 --> 00:52:06,120
Speaker 7: turkeyhunt wait on.

916
00:52:03,920 --> 00:52:07,120
Speaker 1: Sadly, like the Department of Treasury is like, well, let's

917
00:52:07,120 --> 00:52:10,160
Speaker 1: get the turkey then we'll move on.

918
00:52:10,719 --> 00:52:12,840
Speaker 7: And it's kind of Tungus has been defined as a

919
00:52:12,920 --> 00:52:15,719
Speaker 7: critically strategic mineral, really yep.

920
00:52:15,880 --> 00:52:17,800
Speaker 2: So now we get to the TSS stuff.

921
00:52:17,840 --> 00:52:21,520
Speaker 7: So most everyone probably knows what it is, but if

922
00:52:21,560 --> 00:52:24,879
Speaker 7: you're not familiar, tungsten's super shot, which is mostly used

923
00:52:24,880 --> 00:52:29,200
Speaker 7: by turkers, turkey hunters, and like really rich waterfowlers will

924
00:52:29,320 --> 00:52:29,839
Speaker 7: use it too.

925
00:52:30,640 --> 00:52:35,719
Speaker 1: You ever use that stuff, he's bismuth for waterfowl. But

926
00:52:35,800 --> 00:52:37,759
Speaker 1: that's rich guy anyway, though, that you rich.

927
00:52:38,160 --> 00:52:41,759
Speaker 7: So TSS is ninety five percent tungsten. Tungsten's twice as

928
00:52:41,800 --> 00:52:45,680
Speaker 7: dense as led about little little less. But what that

929
00:52:45,800 --> 00:52:49,120
Speaker 7: means is a tiny number nine TSS pellet weighs the

930
00:52:49,200 --> 00:52:53,240
Speaker 7: same as a number five lead pellet. So in a shell,

931
00:52:53,880 --> 00:52:56,879
Speaker 7: a shotgun shell, you get way more pellets per shell,

932
00:52:57,040 --> 00:52:59,680
Speaker 7: carrying way more energy over longer distances.

933
00:52:59,719 --> 00:53:00,279
Speaker 2: And it's it's like.

934
00:53:01,920 --> 00:53:04,480
Speaker 7: Like it's made a huge difference in turkey hunting, Like

935
00:53:04,920 --> 00:53:09,000
Speaker 7: I personally can say it's like the biggest change in

936
00:53:09,080 --> 00:53:11,160
Speaker 7: turkey hunting that I've seen in my life has been

937
00:53:12,239 --> 00:53:15,600
Speaker 7: TSS AMMO as far as like killing turkeys.

938
00:53:15,160 --> 00:53:17,560
Speaker 1: Yeah, like killing turkeys with pedals to size of coarse

939
00:53:17,640 --> 00:53:18,879
Speaker 1: ground black peppers.

940
00:53:18,600 --> 00:53:21,239
Speaker 7: Yeah, dude, and even at sixty yards, Like if you're

941
00:53:21,280 --> 00:53:23,440
Speaker 7: steady and you're drawing a bead on a gobbler, like

942
00:53:23,719 --> 00:53:26,120
Speaker 7: he's already you know, he's already dead, like he ain't

943
00:53:26,160 --> 00:53:26,759
Speaker 7: walking away.

944
00:53:26,880 --> 00:53:29,680
Speaker 6: What would the how does it change the effective range

945
00:53:29,760 --> 00:53:30,279
Speaker 6: compared to.

946
00:53:32,600 --> 00:53:35,200
Speaker 7: I mean, you might get Lucky's shooting lead number five's

947
00:53:35,280 --> 00:53:37,680
Speaker 7: and kill one at sixty yards because you get one

948
00:53:37,800 --> 00:53:38,680
Speaker 7: pellet in his head.

949
00:53:38,960 --> 00:53:41,960
Speaker 12: But it's yeah, it's right, Well you have twice as

950
00:53:42,000 --> 00:53:44,480
Speaker 12: many peals, Like I'm not a.

951
00:53:44,480 --> 00:53:46,880
Speaker 2: Comfortable shooting at a gobbler at sixty yards.

952
00:53:46,680 --> 00:53:50,400
Speaker 1: Really right, But listen, dude, if I like, I'll go

953
00:53:50,520 --> 00:53:51,839
Speaker 1: back to the old I don't care.

954
00:53:51,960 --> 00:53:53,080
Speaker 2: We're gonna get to that man.

955
00:53:53,960 --> 00:53:58,040
Speaker 7: So last year, forty to sixty bucks for a box

956
00:53:58,120 --> 00:54:02,439
Speaker 7: of twelve or twenty gaged TSS. This year you're looking

957
00:54:02,480 --> 00:54:05,080
Speaker 7: at eighty to one hundred in some cases up to

958
00:54:05,239 --> 00:54:11,360
Speaker 7: two hundred like the custom stuff. So now manufacturers are questioning,

959
00:54:11,600 --> 00:54:13,839
Speaker 7: like is aunt the average hunter are going to pay

960
00:54:13,880 --> 00:54:14,319
Speaker 7: twenty to.

961
00:54:14,360 --> 00:54:15,359
Speaker 2: Thirty bucks a shell.

962
00:54:16,120 --> 00:54:18,319
Speaker 7: And the thing is is like prices they're gonna stay

963
00:54:18,400 --> 00:54:21,920
Speaker 7: high or they're gonna keep going up. Inventory is shrinking,

964
00:54:22,640 --> 00:54:24,960
Speaker 7: and it's just the price is just gonna keep climbing.

965
00:54:25,120 --> 00:54:29,920
Speaker 7: So like the the days of like semi affordable TSS loads,

966
00:54:30,120 --> 00:54:30,440
Speaker 7: that like.

967
00:54:30,840 --> 00:54:33,080
Speaker 1: Might be a thing of that, Like this is you're

968
00:54:33,120 --> 00:54:35,400
Speaker 1: not kneeling like this is a blip, no, because it's like.

969
00:54:36,080 --> 00:54:38,280
Speaker 2: The supply is years behind.

970
00:54:38,719 --> 00:54:43,239
Speaker 7: Like one I saw a quote from one custom turkey manufacturer,

971
00:54:43,400 --> 00:54:46,520
Speaker 7: Turkey AMMO manufacturer Salt Creek Custom Ammo.

972
00:54:46,640 --> 00:54:50,240
Speaker 14: I've bought from them before, says TSS is dead really

973
00:54:51,480 --> 00:54:55,799
Speaker 14: and so if this happens, man, it's like not only

974
00:54:55,920 --> 00:54:59,560
Speaker 14: the AMMO thing, but like I hunt turkeys with a

975
00:54:59,640 --> 00:55:00,319
Speaker 14: twenty age.

976
00:55:00,800 --> 00:55:02,680
Speaker 7: My kids have killed them with a four to ten.

977
00:55:03,400 --> 00:55:05,800
Speaker 7: Guys are hunting them with twenty eight gages now, so

978
00:55:05,960 --> 00:55:07,440
Speaker 7: like these small bore.

979
00:55:07,960 --> 00:55:10,359
Speaker 1: Shotgun, yeah, the four to ten as a turkey gun

980
00:55:10,440 --> 00:55:11,439
Speaker 1: became a turkey gun.

981
00:55:11,440 --> 00:55:14,240
Speaker 2: Because and it could just be like useless.

982
00:55:14,320 --> 00:55:16,719
Speaker 1: Now, yeah, my kids killed the first turkey shooting four

983
00:55:16,960 --> 00:55:19,279
Speaker 1: tens yep with TSS, but.

984
00:55:19,400 --> 00:55:24,080
Speaker 7: Even twelve gauge hunters, like you said, are probably gonna

985
00:55:24,080 --> 00:55:26,400
Speaker 7: have to switch back to some kind of lead shot

986
00:55:26,600 --> 00:55:30,120
Speaker 7: and just get better at bringing turkeys in close.

987
00:55:30,840 --> 00:55:32,879
Speaker 1: If this is the case, better at ditch growl.

988
00:55:33,040 --> 00:55:36,319
Speaker 6: When was TSS introduced to the turkey world? Like, how

989
00:55:36,400 --> 00:55:37,080
Speaker 6: long does it lasted?

990
00:55:37,120 --> 00:55:41,040
Speaker 7: I started hunting with tunks and probably like in twenty

991
00:55:41,280 --> 00:55:44,640
Speaker 7: twelve to fourteen. But that wasn't this TSS stuff they

992
00:55:44,680 --> 00:55:48,560
Speaker 7: were using, Like I remember having like a blend of five.

993
00:55:48,960 --> 00:55:52,799
Speaker 1: Yeah, well third degrees had sometimes sixty seven. Yeah, that's

994
00:55:53,000 --> 00:55:56,080
Speaker 1: I still got a little sash that but full on tungsten.

995
00:55:56,200 --> 00:56:00,279
Speaker 7: I don't know, like eight years ago, six eight years Yeah, when.

996
00:56:00,200 --> 00:56:02,480
Speaker 1: You started being able to just like buy you know,

997
00:56:02,560 --> 00:56:04,960
Speaker 1: when all the guys I hang out was started shooting

998
00:56:05,080 --> 00:56:06,919
Speaker 1: number nine tongus wasn't that many years?

999
00:56:06,960 --> 00:56:10,479
Speaker 11: No, So brody is it as a fan of tongue

1000
00:56:10,760 --> 00:56:12,239
Speaker 11: like I am too when I started using it. My

1001
00:56:12,360 --> 00:56:15,720
Speaker 11: daughter's killed turkeys with four ten game changer. My daughter's

1002
00:56:15,719 --> 00:56:19,040
Speaker 11: actually shot nine times with TSS and one hour of

1003
00:56:19,080 --> 00:56:24,320
Speaker 11: turkey hunting one which and I had to strangle the

1004
00:56:24,400 --> 00:56:25,160
Speaker 11: only bird we got.

1005
00:56:26,360 --> 00:56:28,400
Speaker 8: You only want to buy one of them turkey. I

1006
00:56:28,920 --> 00:56:29,440
Speaker 8: can tell you.

1007
00:56:29,560 --> 00:56:32,960
Speaker 11: One thing in that blind I was swearing worse than

1008
00:56:33,040 --> 00:56:34,719
Speaker 11: Donald was when he couldn't get his tag.

1009
00:56:35,440 --> 00:56:38,760
Speaker 1: Oh my god. When it is a problem when you're Ammo,

1010
00:56:39,719 --> 00:56:43,480
Speaker 1: when your turkey Ammo the shell, not the box. The

1011
00:56:43,680 --> 00:56:47,280
Speaker 1: shell costs more to turkey tag. Right, that's a problem.

1012
00:56:47,360 --> 00:56:49,920
Speaker 11: Well, right, And when you're digging in your backpack for

1013
00:56:50,000 --> 00:56:54,440
Speaker 11: another box of Ammo in the first hour of a

1014
00:56:54,560 --> 00:56:59,120
Speaker 11: hunt and there's tears in the blind rough stuff iren't familiar.

1015
00:56:59,360 --> 00:57:03,000
Speaker 2: A box of tsf Amo is five shots.

1016
00:57:02,800 --> 00:57:06,279
Speaker 1: Right, it's not right? But and Max tell the Max

1017
00:57:06,360 --> 00:57:06,960
Speaker 1: Barter part of this.

1018
00:57:07,239 --> 00:57:08,560
Speaker 2: Max hit the jackpot.

1019
00:57:08,719 --> 00:57:10,520
Speaker 1: Me and him were down in Nevada and falling the

1020
00:57:10,840 --> 00:57:11,520
Speaker 1: no one hunts.

1021
00:57:11,600 --> 00:57:12,960
Speaker 2: That's I'm convinced that's.

1022
00:57:12,880 --> 00:57:15,880
Speaker 1: Why they got turks. But yeah, they got We were

1023
00:57:15,920 --> 00:57:18,000
Speaker 1: in foul in Nevada. I was in the hotel room.

1024
00:57:18,040 --> 00:57:21,240
Speaker 1: Max wanders into some sporting good store and walks out

1025
00:57:21,280 --> 00:57:21,720
Speaker 1: of there with.

1026
00:57:22,000 --> 00:57:25,240
Speaker 7: Five, no eight boxes of four to ten TSS. You

1027
00:57:25,360 --> 00:57:27,000
Speaker 7: paid thirty bucks a piece for it.

1028
00:57:27,120 --> 00:57:30,320
Speaker 3: So that would have been I've been half lest year.

1029
00:57:30,480 --> 00:57:33,760
Speaker 1: That was half At that time, I go, that's half off.

1030
00:57:34,160 --> 00:57:36,320
Speaker 1: And I look at him like that's more than half

1031
00:57:36,400 --> 00:57:39,439
Speaker 1: off at that moment. And then tungsten exploded and he said,

1032
00:57:39,480 --> 00:57:40,880
Speaker 1: he's gonna sell me back a box.

1033
00:57:41,040 --> 00:57:43,120
Speaker 2: But Max is like, I don't even need this stuff.

1034
00:57:43,320 --> 00:57:45,479
Speaker 2: I'm just buying it because he's horrid.

1035
00:57:45,840 --> 00:57:47,160
Speaker 8: That contributes to the problem.

1036
00:57:48,200 --> 00:57:52,600
Speaker 11: So does this change the calculus, because when people look

1037
00:57:52,640 --> 00:57:55,360
Speaker 11: at expensive turkey shows, like you mentioned, if you're gonna

1038
00:57:55,360 --> 00:57:58,000
Speaker 11: go waterfall hunting, you're like, it's a different thing. Yeah,

1039
00:57:58,160 --> 00:58:01,000
Speaker 11: bismuth whatever, You're gonna just burn through some right, But

1040
00:58:01,680 --> 00:58:04,960
Speaker 11: the justification for those super expensive shells was they performed

1041
00:58:05,040 --> 00:58:07,320
Speaker 11: so well for turkeys.

1042
00:58:07,400 --> 00:58:08,720
Speaker 12: Yeah, you're only going to shoot.

1043
00:58:09,320 --> 00:58:11,760
Speaker 1: What's ever in people's head? Dude? Someone tells you, it's

1044
00:58:11,840 --> 00:58:13,480
Speaker 1: like you know and you I don't know. You just

1045
00:58:13,560 --> 00:58:15,480
Speaker 1: kind of you get like used to stuff. I'm going

1046
00:58:15,520 --> 00:58:17,200
Speaker 1: back to shooting. Well, I'm going I still have some

1047
00:58:17,280 --> 00:58:19,960
Speaker 1: of my dad's turkey, right, I.

1048
00:58:20,000 --> 00:58:24,080
Speaker 2: Mean we killed, but you forget so quickly, right, and

1049
00:58:24,360 --> 00:58:26,040
Speaker 2: like it's.

1050
00:58:25,960 --> 00:58:29,400
Speaker 1: Just shooting with like number five copper plated.

1051
00:58:29,360 --> 00:58:31,800
Speaker 12: You ever have with those little nines? You ever have

1052
00:58:32,000 --> 00:58:33,880
Speaker 12: somebody shoot like the breast.

1053
00:58:34,240 --> 00:58:34,920
Speaker 5: Yeah you got it.

1054
00:58:35,200 --> 00:58:37,360
Speaker 8: Yeah, you gotta make sure you can brost your.

1055
00:58:37,320 --> 00:58:38,000
Speaker 1: Teeth all the hell.

1056
00:58:40,080 --> 00:58:42,280
Speaker 7: I got one little Thing's an add on to this

1057
00:58:43,520 --> 00:58:47,520
Speaker 7: about Trump's tariffs. It's This is not just a TSS thing.

1058
00:58:48,720 --> 00:58:51,640
Speaker 7: The prices of other ammunition are also on the rise

1059
00:58:51,640 --> 00:58:55,080
Speaker 7: because AMRO production kind of is also like a global thing.

1060
00:58:55,880 --> 00:59:02,520
Speaker 7: Nitro cellulose, a gunpowderingingreed ingredient, is sourced internationally, and US

1061
00:59:02,680 --> 00:59:06,160
Speaker 7: tariffs on imports are increasing the cost of raw materials

1062
00:59:06,240 --> 00:59:12,960
Speaker 7: and finished AMMO. As an example, UMO companies that it's

1063
00:59:13,000 --> 00:59:15,960
Speaker 7: like a thin margin so they can't absorb these tariffs.

1064
00:59:16,800 --> 00:59:21,760
Speaker 7: Somo manufacturers are reporting a fifteen percent price increase over

1065
00:59:22,480 --> 00:59:25,800
Speaker 7: since twenty twenty four, and an example is bulk nine

1066
00:59:25,920 --> 00:59:29,400
Speaker 7: millimeter has gone from twenty three cents around in mid

1067
00:59:29,520 --> 00:59:32,480
Speaker 7: twenty twenty five so less than a year, to thirty

1068
00:59:32,560 --> 00:59:34,200
Speaker 7: five cents around right now.

1069
00:59:34,640 --> 00:59:38,200
Speaker 2: So yeah, that's almost like a third. They're actually fifty

1070
00:59:38,200 --> 00:59:39,400
Speaker 2: percent increase.

1071
00:59:39,160 --> 00:59:41,440
Speaker 1: Its war on shooters, So there you go.

1072
00:59:42,280 --> 00:59:45,120
Speaker 3: The top twelve gage TSS round at bass Pro right

1073
00:59:45,160 --> 00:59:47,880
Speaker 3: now is nineteen dollars a shell, and the four to

1074
00:59:47,920 --> 00:59:51,600
Speaker 3: ten am is all about half price of the twelve gage.

1075
00:59:51,760 --> 00:59:53,440
Speaker 1: Dude, that'll make you know it's going to lead to

1076
00:59:53,520 --> 00:59:56,240
Speaker 1: his people not shooting as mate, jakes Man, you think

1077
00:59:57,560 --> 00:59:59,480
Speaker 1: I'd be like, I don't know, dude, like twenty bucks.

1078
00:59:59,320 --> 01:00:01,080
Speaker 2: I'll be back this that can affect me.

1079
01:00:01,160 --> 01:00:05,120
Speaker 1: I'm right, me too over to bear new them for

1080
01:00:05,200 --> 01:00:09,600
Speaker 1: some Oklahoma bear news. Yeah did I earlier say Arkansas

1081
01:00:09,720 --> 01:00:12,240
Speaker 1: bear news? I believe I did. You did say? You

1082
01:00:12,280 --> 01:00:15,640
Speaker 1: know what, I'm going to redo the whole beginning. People

1083
01:00:15,800 --> 01:00:18,360
Speaker 1: listening to know won't know what I'm talking about.

1084
01:00:18,560 --> 01:00:18,760
Speaker 6: Wow.

1085
01:00:19,320 --> 01:00:21,000
Speaker 1: Well, uh so.

1086
01:00:21,360 --> 01:00:24,240
Speaker 15: House Bill four one two eight is a new bill

1087
01:00:24,920 --> 01:00:29,040
Speaker 15: proposition in Oklahoma, And basically what they're proposing is an

1088
01:00:29,120 --> 01:00:32,840
Speaker 15: extension of the Oklahoma bear season by two weeks earlier.

1089
01:00:33,600 --> 01:00:35,560
Speaker 15: So if you if you bait bears in the southeast,

1090
01:00:35,600 --> 01:00:40,280
Speaker 15: you know that is a huge difference because baiting success

1091
01:00:40,360 --> 01:00:45,160
Speaker 15: is entirely dependent on when the acorns drop. It's historic acres,

1092
01:00:47,000 --> 01:00:50,320
Speaker 15: it's the season has historically started on October first. They're

1093
01:00:50,320 --> 01:00:52,439
Speaker 15: wanting to bump it up to September fifteenth, so usually

1094
01:00:52,440 --> 01:00:54,960
Speaker 15: it starts after the acron drop. They're wanting to bump

1095
01:00:55,000 --> 01:00:58,280
Speaker 15: it a full two weeks to before the acren drip.

1096
01:00:58,200 --> 01:01:01,360
Speaker 1: When they're more susceptible. Debate, right, because your father has

1097
01:01:01,400 --> 01:01:04,919
Speaker 1: told me, he's like, it doesn't matter what you're using

1098
01:01:05,000 --> 01:01:07,360
Speaker 1: for bait. One sake can get acorns.

1099
01:01:08,200 --> 01:01:08,840
Speaker 6: They're out of there.

1100
01:01:09,320 --> 01:01:12,320
Speaker 15: They want acorns, yeah, more than donuts, yeah, and so

1101
01:01:13,480 --> 01:01:16,240
Speaker 15: and then they want to bump the bear quota up

1102
01:01:16,440 --> 01:01:20,840
Speaker 15: by three hundred percent. And the truth is is that

1103
01:01:20,960 --> 01:01:23,320
Speaker 15: Oklahoma could afford to take a few more bears. The

1104
01:01:23,360 --> 01:01:27,080
Speaker 15: bear population is doing really well, but it is just

1105
01:01:27,200 --> 01:01:32,640
Speaker 15: super abrupt and super aggressive. And what's happening is the

1106
01:01:32,840 --> 01:01:36,600
Speaker 15: House Representative, Scott Fettgatter, he's the one pushing the bill.

1107
01:01:37,400 --> 01:01:41,480
Speaker 15: And if you watch some of the meetings and the hearings,

1108
01:01:41,920 --> 01:01:45,560
Speaker 15: he's talking, he brings his own evidence for how much

1109
01:01:45,960 --> 01:01:48,320
Speaker 15: how many bears can be taken out. All his evidence

1110
01:01:48,360 --> 01:01:51,280
Speaker 15: is from Kentucky, the state of Kentucky, which has four

1111
01:01:51,360 --> 01:01:53,720
Speaker 15: different three or four different states pouring bear population.

1112
01:01:53,800 --> 01:01:55,800
Speaker 1: That's where he's pulling his management data from.

1113
01:01:55,880 --> 01:01:58,280
Speaker 6: Right whereas Oklahoma has won and that's Arkansas.

1114
01:01:58,880 --> 01:02:03,320
Speaker 15: And so it's if you in the meetings, I watched

1115
01:02:03,360 --> 01:02:05,320
Speaker 15: a clip right before this where he was talking about

1116
01:02:05,680 --> 01:02:08,480
Speaker 15: all of his evidence that he's gathered for why they

1117
01:02:08,520 --> 01:02:10,160
Speaker 15: should push the season up.

1118
01:02:11,040 --> 01:02:14,840
Speaker 6: And the issue is is this, there's a whole, there's

1119
01:02:14,880 --> 01:02:15,200
Speaker 6: a whole.

1120
01:02:17,000 --> 01:02:18,920
Speaker 15: This guy shouldn't be the one who's doing the science

1121
01:02:19,160 --> 01:02:21,800
Speaker 15: to manage the bear population. It needs to be the

1122
01:02:22,360 --> 01:02:26,040
Speaker 15: game and fish commissions and the Wildlife Department, and so

1123
01:02:26,480 --> 01:02:31,000
Speaker 15: it's just like the bill itself isn't a massive deal.

1124
01:02:31,160 --> 01:02:33,160
Speaker 15: Like I think if the bill goes through, a bunch

1125
01:02:33,200 --> 01:02:36,360
Speaker 15: of bears get killed, like we just won't kill as

1126
01:02:36,400 --> 01:02:39,080
Speaker 15: many bears and they'll have to adjust from there. But

1127
01:02:39,800 --> 01:02:43,720
Speaker 15: what it's doing is it's setting the precedent for legislators

1128
01:02:43,760 --> 01:02:48,160
Speaker 15: to be able to to to make laws based on

1129
01:02:48,480 --> 01:02:49,200
Speaker 15: self interest.

1130
01:02:49,280 --> 01:02:53,880
Speaker 1: And yeah, like the agency is like, our research are

1131
01:02:54,040 --> 01:02:58,240
Speaker 1: modeling shows that this is and I should clarify this.

1132
01:02:58,800 --> 01:03:00,880
Speaker 1: If you have an agency, see that it's a good

1133
01:03:01,720 --> 01:03:05,040
Speaker 1: steward and a good pro hunting agency. And the agency

1134
01:03:05,160 --> 01:03:07,120
Speaker 1: is like, this is what we're comfortable with. And then

1135
01:03:07,160 --> 01:03:09,440
Speaker 1: a lawmaker goes, we should be killing a bunch more

1136
01:03:10,000 --> 01:03:14,320
Speaker 1: based on my own home research job. So I'm going

1137
01:03:14,400 --> 01:03:19,160
Speaker 1: to usurp you, you eggheads at the agency, and here's

1138
01:03:19,240 --> 01:03:19,880
Speaker 1: my proposal.

1139
01:03:20,040 --> 01:03:24,400
Speaker 15: Yeah, and the crazy thing is is that the bear

1140
01:03:24,440 --> 01:03:27,800
Speaker 15: Commissioner or the bear coordinator just got to prove to

1141
01:03:27,880 --> 01:03:31,880
Speaker 15: do a two year study on the bear population and

1142
01:03:32,000 --> 01:03:35,840
Speaker 15: in two years will have really scientifically based numbers on

1143
01:03:36,000 --> 01:03:36,880
Speaker 15: what the harvest can be.

1144
01:03:37,680 --> 01:03:41,040
Speaker 7: You mentioned earlier, like they could probably afford to shoot

1145
01:03:41,040 --> 01:03:43,520
Speaker 7: a few more, but it's not a big populations.

1146
01:03:44,360 --> 01:03:47,320
Speaker 6: They can't afford to shoot three, that's for sure.

1147
01:03:47,640 --> 01:03:50,600
Speaker 1: Are you saying the season would go from two weeks

1148
01:03:50,760 --> 01:03:52,280
Speaker 1: long to how long?

1149
01:03:52,720 --> 01:03:54,120
Speaker 6: It would open two weeks earlier?

1150
01:03:54,320 --> 01:03:54,640
Speaker 1: Okay?

1151
01:03:55,240 --> 01:03:57,720
Speaker 15: So and that's when all the bears are killed? Is

1152
01:03:57,760 --> 01:04:01,680
Speaker 15: in that first week usually? And yeah, so it's just

1153
01:04:01,800 --> 01:04:03,000
Speaker 15: it's just lack of science base.

1154
01:04:03,120 --> 01:04:05,440
Speaker 1: What is his motivation? Like, here's here's a quote from

1155
01:04:05,480 --> 01:04:12,040
Speaker 1: him that this representative what's his name's fat Gadder. Here's

1156
01:04:12,080 --> 01:04:14,880
Speaker 1: a quote from him. We look at bears as cute,

1157
01:04:15,080 --> 01:04:18,000
Speaker 1: cuddly little animals that we can sleep at night with,

1158
01:04:19,080 --> 01:04:23,280
Speaker 1: but the reality of it is they're very dangerous. Just

1159
01:04:23,440 --> 01:04:24,400
Speaker 1: really is what question?

1160
01:04:24,520 --> 01:04:25,200
Speaker 4: But is that like?

1161
01:04:25,360 --> 01:04:26,600
Speaker 1: But what is his motivation?

1162
01:04:27,000 --> 01:04:28,840
Speaker 6: That's the question.

1163
01:04:29,240 --> 01:04:32,360
Speaker 15: He's a deer breeder and so that this is where

1164
01:04:32,360 --> 01:04:35,000
Speaker 15: it kind of gets interesting, is he's a deer breeder.

1165
01:04:35,400 --> 01:04:37,000
Speaker 15: And I think a lot of people would be familiar

1166
01:04:37,080 --> 01:04:40,320
Speaker 15: with the CWD bill that is about to get pushed

1167
01:04:40,320 --> 01:04:45,000
Speaker 15: where essentially private landowners can can buy deer that are

1168
01:04:45,440 --> 01:04:49,160
Speaker 15: captive bread deer that are perceivably immune to c w

1169
01:04:49,320 --> 01:04:53,200
Speaker 15: D and then release them into the wild. Which that's

1170
01:04:53,200 --> 01:04:56,200
Speaker 15: a whole other conversation. But so he's a deer breeder

1171
01:04:56,680 --> 01:04:59,880
Speaker 15: and there's here's word on the street. This is kind

1172
01:04:59,920 --> 01:05:02,280
Speaker 15: of some speculation. So I don't I don't want to

1173
01:05:02,360 --> 01:05:04,440
Speaker 15: say this is fact, but this is word on the street.

1174
01:05:05,080 --> 01:05:06,120
Speaker 15: There's a there's another.

1175
01:05:06,360 --> 01:05:08,320
Speaker 1: You're a rumor. This is a room. This is a room.

1176
01:05:08,480 --> 01:05:10,480
Speaker 15: Say it's a rumor, it's a rumor. There's another deer

1177
01:05:10,560 --> 01:05:14,240
Speaker 15: bringing there in Oklahoma. And he is the one who

1178
01:05:14,440 --> 01:05:17,720
Speaker 15: originally or not originally, but he's he's pushing really hard

1179
01:05:17,880 --> 01:05:22,320
Speaker 15: for the bear bill and for the c w D bill.

1180
01:05:22,640 --> 01:05:24,480
Speaker 15: But fet Gatder, I mean, it would make no sense

1181
01:05:24,520 --> 01:05:25,920
Speaker 15: for Fetgatter to put his name on the.

1182
01:05:25,920 --> 01:05:28,080
Speaker 1: C w D bill because he's a deer breeder, got it.

1183
01:05:29,920 --> 01:05:33,680
Speaker 15: But this other guy, rumor is they're really good friends.

1184
01:05:33,760 --> 01:05:36,600
Speaker 15: And this other guy hates bears because they're eating his

1185
01:05:36,760 --> 01:05:40,080
Speaker 15: fawns and they're they're getting on his property. He has

1186
01:05:40,120 --> 01:05:43,400
Speaker 15: a property that is surrounded on three or four sized

1187
01:05:43,480 --> 01:05:46,120
Speaker 15: national forest, which if you if you've got a property

1188
01:05:46,120 --> 01:05:49,200
Speaker 15: surrounded by national forest in southeast Oklahoma, there's gonna be

1189
01:05:49,280 --> 01:05:53,320
Speaker 15: a bunch of bears. And so he's pushing for the

1190
01:05:53,360 --> 01:05:56,560
Speaker 15: c w D bill and the bear bill really hard.

1191
01:05:57,160 --> 01:06:00,200
Speaker 15: And so my question too was also like, what's it's

1192
01:06:00,240 --> 01:06:03,680
Speaker 15: the motivation behind it? And I've not gotten a concrete answer,

1193
01:06:03,800 --> 01:06:09,200
Speaker 15: but the my personal speculation would would be to think

1194
01:06:09,240 --> 01:06:12,440
Speaker 15: that he's just a deer hunter who doesn't like the

1195
01:06:12,560 --> 01:06:15,560
Speaker 15: bears kill him the deer, or is under that impression

1196
01:06:15,560 --> 01:06:17,360
Speaker 15: that bears are just wiping out the deer population.

1197
01:06:17,720 --> 01:06:20,720
Speaker 1: Or he's a bear hunter and he realizes that if

1198
01:06:20,760 --> 01:06:24,040
Speaker 1: he had two weeks earlier hunting, he'd have a better

1199
01:06:24,080 --> 01:06:24,640
Speaker 1: bear season.

1200
01:06:24,800 --> 01:06:27,640
Speaker 6: Yeah, it's true, that's that's another another thought.

1201
01:06:27,720 --> 01:06:31,479
Speaker 15: But he also like the you know that he would

1202
01:06:31,520 --> 01:06:34,600
Speaker 15: have It would benefit him massively to be able to

1203
01:06:34,680 --> 01:06:35,960
Speaker 15: sell captive deer as well.

1204
01:06:36,720 --> 01:06:38,200
Speaker 6: And I wonder if he's not just like.

1205
01:06:38,200 --> 01:06:42,240
Speaker 15: A deer hunter who wants the Oklahoma genetics maybe to

1206
01:06:42,760 --> 01:06:47,200
Speaker 15: be influent to have better genetics in Oklahoma, or you know,

1207
01:06:47,440 --> 01:06:49,439
Speaker 15: it's it seems like his mind is only on the deer,

1208
01:06:49,960 --> 01:06:50,439
Speaker 15: not the bear.

1209
01:06:50,720 --> 01:06:53,200
Speaker 1: So what's your like, what's your take on the bear deal?

1210
01:06:53,520 --> 01:06:54,800
Speaker 1: Do you think it's Do you think it's too too

1211
01:06:54,880 --> 01:06:55,400
Speaker 1: much harvest?

1212
01:06:55,560 --> 01:06:57,800
Speaker 15: I think it's too much harvest, and I think I

1213
01:06:57,920 --> 01:07:00,520
Speaker 15: think it just needs to be slow. I mean, like

1214
01:07:00,880 --> 01:07:03,160
Speaker 15: the season Mike could afford to be bumped two weeks up,

1215
01:07:03,600 --> 01:07:05,280
Speaker 15: but to do that all in one year and then

1216
01:07:05,280 --> 01:07:07,439
Speaker 15: to bump the quote up by three hundred percent, Yeah,

1217
01:07:08,000 --> 01:07:10,720
Speaker 15: is h is just way too fast to be doing

1218
01:07:10,800 --> 01:07:13,720
Speaker 15: something like that. And I just don't think that the

1219
01:07:14,120 --> 01:07:17,760
Speaker 15: House Representative needs to be doing the research and needs

1220
01:07:17,760 --> 01:07:20,400
Speaker 15: to be pushing for a bill like that that needs

1221
01:07:20,440 --> 01:07:22,600
Speaker 15: to be done inside the Wildlife Department.

1222
01:07:22,680 --> 01:07:27,280
Speaker 1: You'd advocate for a more incremental approach coming from the biologists.

1223
01:07:26,720 --> 01:07:29,360
Speaker 15: And a more scientific approach. And what this bill is,

1224
01:07:29,560 --> 01:07:32,360
Speaker 15: it's just a broader representation of what's happening all across

1225
01:07:32,400 --> 01:07:36,200
Speaker 15: the country. Just lack of science based management and there's

1226
01:07:36,280 --> 01:07:39,880
Speaker 15: just a lot of a lot of politics and opinions

1227
01:07:39,920 --> 01:07:42,600
Speaker 15: getting mixed in with wildlife regulations.

1228
01:07:42,720 --> 01:07:45,200
Speaker 1: It's a theme. It's a theme. People get frustrated with

1229
01:07:45,240 --> 01:07:50,040
Speaker 1: the state agencies and they and they find workarounds, ballt initiatives, whatever. Yeah, well,

1230
01:07:51,480 --> 01:07:53,400
Speaker 1: Randall's gonna touch on a few bear hunting issues too,

1231
01:07:53,480 --> 01:07:53,720
Speaker 1: thank you.

1232
01:07:54,280 --> 01:07:54,480
Speaker 3: Yeah.

1233
01:07:55,280 --> 01:08:02,560
Speaker 8: Uh, quick update from Washington. They released a game Management Plan,

1234
01:08:03,520 --> 01:08:06,640
Speaker 8: which is like a doc. It's a long, very long

1235
01:08:06,760 --> 01:08:11,480
Speaker 8: document that provides recommendations to the Game and Fish Commission.

1236
01:08:11,560 --> 01:08:15,560
Speaker 8: And we know in Washington that there have been issues

1237
01:08:15,680 --> 01:08:20,880
Speaker 8: with individuals associated with the Commission being antagonistic towards hunting

1238
01:08:20,920 --> 01:08:24,360
Speaker 8: and fishing. But on so, there's no like concrete changes

1239
01:08:24,439 --> 01:08:26,760
Speaker 8: yet as far as I'm aware. But as part of

1240
01:08:26,840 --> 01:08:30,639
Speaker 8: this game management plan, there's a sentence in it where

1241
01:08:30,680 --> 01:08:34,200
Speaker 8: it describes like the other sort of wildlife values associated

1242
01:08:34,240 --> 01:08:38,240
Speaker 8: with bears, and it makes mention of potentially delaying the

1243
01:08:38,320 --> 01:08:41,760
Speaker 8: fall bear season until after Labor Day, because as we

1244
01:08:41,800 --> 01:08:44,240
Speaker 8: all know, Labor Day is a good weekend for wildlife

1245
01:08:44,320 --> 01:08:45,920
Speaker 8: viewers to go out and look at bears, and so

1246
01:08:46,040 --> 01:08:49,880
Speaker 8: they want to avoid folks, you know, out there with

1247
01:08:49,960 --> 01:08:53,479
Speaker 8: their binoculars and their picnic baskets watching watching bears get

1248
01:08:53,680 --> 01:08:59,960
Speaker 8: get shot like it's it's I guess this came up

1249
01:09:00,720 --> 01:09:05,000
Speaker 8: in some sort of earlier policy debate and it had

1250
01:09:05,040 --> 01:09:07,799
Speaker 8: gone away, and then it's sort of mysteriously this language

1251
01:09:07,840 --> 01:09:11,639
Speaker 8: mysteriously resurfaced in the game management plan, and it seems

1252
01:09:11,680 --> 01:09:13,960
Speaker 8: to have caught the attention of sportsmen's groups after this

1253
01:09:14,080 --> 01:09:17,280
Speaker 8: game management plan was published. But I know there's a

1254
01:09:17,320 --> 01:09:21,400
Speaker 8: lot of folks worked up about it, and not only

1255
01:09:21,560 --> 01:09:23,920
Speaker 8: just like out of self interest, but it it sort

1256
01:09:23,960 --> 01:09:29,200
Speaker 8: of poses hunters as antagonistic towards other public land users,

1257
01:09:29,280 --> 01:09:29,439
Speaker 8: you know.

1258
01:09:30,880 --> 01:09:33,880
Speaker 1: And I was reading anyone who's familiar with that era

1259
01:09:34,240 --> 01:09:38,560
Speaker 1: at sorry with that area, like like bear hunting in

1260
01:09:38,600 --> 01:09:45,640
Speaker 1: that state, this is this is make believe land. That

1261
01:09:45,720 --> 01:09:50,240
Speaker 1: there's conflict between these these like wildlife viewers and bear hunters.

1262
01:09:50,360 --> 01:09:51,680
Speaker 1: This is make believe right.

1263
01:09:51,760 --> 01:09:56,160
Speaker 8: And so most units I guess open currently August first

1264
01:09:56,240 --> 01:09:58,920
Speaker 8: or August fifteenth, And so if you were to push

1265
01:09:59,000 --> 01:10:01,720
Speaker 8: that back after after Labor Day, that's basically cutting a

1266
01:10:01,800 --> 01:10:02,719
Speaker 8: month off the season.

1267
01:10:03,080 --> 01:10:05,400
Speaker 1: And it is early season, yeah, it is.

1268
01:10:06,120 --> 01:10:10,759
Speaker 8: But also I think like the context of them losing

1269
01:10:10,840 --> 01:10:13,800
Speaker 8: the spring bear hunt not all that long ago, is

1270
01:10:14,479 --> 01:10:16,200
Speaker 8: still they're fresh wounds about that.

1271
01:10:16,360 --> 01:10:18,280
Speaker 1: And yeah, I'm not when I when I bring up

1272
01:10:18,280 --> 01:10:20,760
Speaker 1: that it's the early season. Yeah, yeah, I'm not saying that, like,

1273
01:10:21,960 --> 01:10:24,439
Speaker 1: I'm not saying they should change it. I'm just saying

1274
01:10:26,000 --> 01:10:28,479
Speaker 1: if if it was otherwise, if it was if it

1275
01:10:28,600 --> 01:10:32,920
Speaker 1: was always otherwise, always a month later, people would never

1276
01:10:33,040 --> 01:10:35,679
Speaker 1: look and be like, what gives why is your bear

1277
01:10:35,800 --> 01:10:39,320
Speaker 1: season so late? Because that's kind of like bear season, right,

1278
01:10:39,439 --> 01:10:43,840
Speaker 1: like they have a very early fall bear season.

1279
01:10:45,040 --> 01:10:45,240
Speaker 4: Yeah.

1280
01:10:45,840 --> 01:10:48,760
Speaker 8: I was reading some commentary on this, and there was

1281
01:10:48,800 --> 01:10:50,599
Speaker 8: a guy who made a great point. And he said,

1282
01:10:50,880 --> 01:10:54,080
Speaker 8: he said, I'm like a total backpacker public land user,

1283
01:10:55,560 --> 01:10:58,640
Speaker 8: what you would call like a ri I type, you know.

1284
01:10:58,920 --> 01:11:00,720
Speaker 8: And he said, I'm also hunting. And he said, when

1285
01:11:00,720 --> 01:11:03,080
Speaker 8: I'm a hiker and I run into hunters on the trail,

1286
01:11:03,800 --> 01:11:08,479
Speaker 8: we engage and have a positive like discussion and sort

1287
01:11:08,479 --> 01:11:11,719
Speaker 8: of like build that bridge. And he said, when I'm hunting,

1288
01:11:11,760 --> 01:11:13,800
Speaker 8: I run into other hikers on the trail, and it's

1289
01:11:13,840 --> 01:11:17,800
Speaker 8: a good opportunity for us to like build that again,

1290
01:11:17,880 --> 01:11:20,439
Speaker 8: build the bridge between those two communities. And so he's like,

1291
01:11:21,720 --> 01:11:24,280
Speaker 8: just the idea that we would try to separate out

1292
01:11:24,960 --> 01:11:27,840
Speaker 8: hunters from other public land users, even if that's not

1293
01:11:27,960 --> 01:11:30,120
Speaker 8: the intention. He's like, I just think in the long run.

1294
01:11:30,560 --> 01:11:33,240
Speaker 8: So I thought that was a great point. We had

1295
01:11:33,320 --> 01:11:34,760
Speaker 8: just something to keep an eye on. I don't know

1296
01:11:35,560 --> 01:11:39,960
Speaker 8: when their season setting takes place or when if there

1297
01:11:40,000 --> 01:11:44,760
Speaker 8: will be like action taken on this suggestion, but it's

1298
01:11:44,760 --> 01:11:45,080
Speaker 8: out there.

1299
01:11:45,200 --> 01:11:48,240
Speaker 7: There's a lot of similarities here between like the Wildlife

1300
01:11:48,240 --> 01:11:51,240
Speaker 7: Commission in Colorado and the Wildlife Commission in Washington.

1301
01:11:51,400 --> 01:11:55,000
Speaker 1: Yeah, right, and it stays having lost the spring bear

1302
01:11:55,160 --> 01:11:57,160
Speaker 1: season and then you're gonna lose a month on fall.

1303
01:11:57,240 --> 01:11:59,040
Speaker 1: I mean that's a real that's a kick to the nuts.

1304
01:11:59,160 --> 01:12:04,760
Speaker 8: Yeah. Yeah, so that's some obviously like something to keep

1305
01:12:04,800 --> 01:12:07,519
Speaker 8: your eye on, some disheartening news. And then at the

1306
01:12:07,560 --> 01:12:15,360
Speaker 8: same time, in Arizona there's a bill to redefine mountain

1307
01:12:15,400 --> 01:12:19,680
Speaker 8: lions and bears as predatory animals, so they would get

1308
01:12:19,720 --> 01:12:24,040
Speaker 8: lumped in with foxes, skunks, coyotes, and bobcats and bears.

1309
01:12:24,760 --> 01:12:28,640
Speaker 1: Yes, but these are game animals right right, And.

1310
01:12:31,120 --> 01:12:34,200
Speaker 8: I mean I don't really understand. I guess there was

1311
01:12:34,240 --> 01:12:37,559
Speaker 8: a version of the bill earlier that that included wolves

1312
01:12:37,600 --> 01:12:44,720
Speaker 8: in that as well, but currently, like it just means

1313
01:12:44,760 --> 01:12:48,040
Speaker 8: that they would be like non game animals.

1314
01:12:49,160 --> 01:12:51,160
Speaker 1: But they got a es A protection right now.

1315
01:12:51,520 --> 01:12:53,840
Speaker 8: Well that's so that that's I think why it was

1316
01:12:53,960 --> 01:12:56,240
Speaker 8: cut out, Like the wolves were cut out.

1317
01:12:56,160 --> 01:12:58,479
Speaker 1: Of the bill. The Mexican gray wolf in Arizona has

1318
01:12:58,720 --> 01:12:59,320
Speaker 1: ESA protection.

1319
01:12:59,479 --> 01:13:01,639
Speaker 8: Yeah, And I reach out to halfle Finger because they'll

1320
01:13:01,640 --> 01:13:04,720
Speaker 8: probably have a lot of thoughts to clear up my.

1321
01:13:06,000 --> 01:13:09,000
Speaker 1: So this is coming from this is definitely coming from

1322
01:13:09,040 --> 01:13:14,599
Speaker 1: people who are who are who are concerned about predation. Yeah,

1323
01:13:14,720 --> 01:13:17,200
Speaker 1: on deer and elk, Yeah, that's that's and they want

1324
01:13:17,320 --> 01:13:19,959
Speaker 1: fewer predators on the landscape, and they think the pathway

1325
01:13:20,000 --> 01:13:23,400
Speaker 1: to get there is just to deregulate mountain lions and

1326
01:13:23,520 --> 01:13:26,439
Speaker 1: black bears into like coyotes.

1327
01:13:26,479 --> 01:13:28,519
Speaker 2: Yeah them like Burman yep.

1328
01:13:28,640 --> 01:13:28,840
Speaker 15: Yeah.

1329
01:13:29,000 --> 01:13:31,800
Speaker 8: So I mean that, like in a lot of states,

1330
01:13:31,880 --> 01:13:35,639
Speaker 8: that's what they were up until the mid twentieth century,

1331
01:13:35,720 --> 01:13:40,280
Speaker 8: early twentieth century, and they're reclassified as game animals and

1332
01:13:40,439 --> 01:13:42,960
Speaker 8: that's done well for all these species, right, Like it's

1333
01:13:43,000 --> 01:13:44,960
Speaker 8: been key to their recovery in a lot of places.

1334
01:13:45,080 --> 01:13:47,800
Speaker 1: So yeah, I don't like you know that. What's funny

1335
01:13:47,800 --> 01:13:49,719
Speaker 1: about all this stuff, man, all the stuff we're getting

1336
01:13:49,720 --> 01:13:56,760
Speaker 1: into is like, you know, bear talking about well they

1337
01:13:56,840 --> 01:13:59,640
Speaker 1: want to make a bear season bigger, right, and you

1338
01:13:59,720 --> 01:14:02,600
Speaker 1: look down you're like, oh, that's kind of problematic. So

1339
01:14:02,760 --> 01:14:04,560
Speaker 1: then someone is like, hey, we want to make a

1340
01:14:04,640 --> 01:14:07,080
Speaker 1: bear season shorter, and you're left going like, well that

1341
01:14:07,160 --> 01:14:11,600
Speaker 1: seems kind of problematic because what you're always trying to

1342
01:14:11,680 --> 01:14:13,519
Speaker 1: weigh out when you look at this is you're trying

1343
01:14:13,520 --> 01:14:17,519
Speaker 1: to lay out like, what are the motivations, right, what

1344
01:14:17,680 --> 01:14:20,840
Speaker 1: are the motivations of what people are driving at and

1345
01:14:21,280 --> 01:14:24,360
Speaker 1: what happens when you take things too extreme? So, like

1346
01:14:25,600 --> 01:14:28,479
Speaker 1: the juxtaposition between the Washington move Hey, we're going to

1347
01:14:28,560 --> 01:14:31,800
Speaker 1: shorten bear season. You look like, well, you're motivated because

1348
01:14:31,840 --> 01:14:34,519
Speaker 1: you want to kill the whole thing. Like the person

1349
01:14:34,600 --> 01:14:37,040
Speaker 1: that wants to do that doesn't want anyone to hunt

1350
01:14:37,120 --> 01:14:40,600
Speaker 1: any bears, right, And then you go down to Arizona,

1351
01:14:40,760 --> 01:14:43,280
Speaker 1: like what's motivating that the person that wants to do

1352
01:14:43,439 --> 01:14:46,240
Speaker 1: that doesn't want any bears? Right?

1353
01:14:46,600 --> 01:14:46,840
Speaker 8: Yeah?

1354
01:14:47,080 --> 01:14:48,880
Speaker 1: And so you're trying to like look at like who's

1355
01:14:48,920 --> 01:14:54,799
Speaker 1: got peer intentions aligned with like long term wildlife management

1356
01:14:54,920 --> 01:14:57,200
Speaker 1: and long term interest the hunters, and so you can

1357
01:14:57,240 --> 01:14:58,000
Speaker 1: wind up being.

1358
01:14:57,880 --> 01:14:59,280
Speaker 8: The agencies are those people?

1359
01:14:59,479 --> 01:15:02,160
Speaker 1: Yeah? Yeah? Yeah, Like and so you're looking at me

1360
01:15:02,240 --> 01:15:04,920
Speaker 1: like what I'm saying, Like someone dropping in from another

1361
01:15:05,000 --> 01:15:06,600
Speaker 1: planet might be like, well, I'm it. Why is it

1362
01:15:06,720 --> 01:15:09,880
Speaker 1: the problem that they're like making a season bigger? But

1363
01:15:09,960 --> 01:15:12,040
Speaker 1: it's also a problem that someone else is making a

1364
01:15:12,080 --> 01:15:14,400
Speaker 1: season shoulder Like which is right? And it's like which

1365
01:15:14,520 --> 01:15:17,680
Speaker 1: is right? Is who has in mind? What goal are

1366
01:15:17,720 --> 01:15:18,280
Speaker 1: they pursuing?

1367
01:15:18,560 --> 01:15:18,760
Speaker 15: Yeah?

1368
01:15:18,880 --> 01:15:21,719
Speaker 8: And I think like I was up at the Capitol,

1369
01:15:22,840 --> 01:15:26,360
Speaker 8: It's last January when there was a meal deer bill

1370
01:15:28,000 --> 01:15:32,200
Speaker 8: in the in the committee being heard about, uh, basically

1371
01:15:32,280 --> 01:15:35,280
Speaker 8: making it so that f TOBP couldn't shut down meal

1372
01:15:35,320 --> 01:15:37,360
Speaker 8: deer buck hunting during the rut if there were units

1373
01:15:37,400 --> 01:15:40,160
Speaker 8: that had low populations. And the bill never went anywhere,

1374
01:15:40,280 --> 01:15:43,400
Speaker 8: but one of the committee members kind of stood up,

1375
01:15:43,439 --> 01:15:47,400
Speaker 8: and Grant standed and said, you know how am I

1376
01:15:47,439 --> 01:15:49,800
Speaker 8: supposed to go back home to my district and tell

1377
01:15:49,880 --> 01:15:53,680
Speaker 8: these people that unelected bureaucrats are making decisions about their

1378
01:15:53,760 --> 01:15:56,280
Speaker 8: fish and wildlife. And I was just like, that's how

1379
01:15:56,320 --> 01:16:00,200
Speaker 8: it's supposed to work. It's like, that's exactly how it's

1380
01:16:00,200 --> 01:16:05,200
Speaker 8: supposed to work. So I don't know, like I kind

1381
01:16:05,200 --> 01:16:07,040
Speaker 8: of wish in some instances.

1382
01:16:06,600 --> 01:16:09,840
Speaker 1: That the unelected beercrats running the Supreme Court.

1383
01:16:10,040 --> 01:16:14,680
Speaker 8: Yeah, like like state legislators, I feel like are particularly

1384
01:16:16,160 --> 01:16:18,880
Speaker 8: susceptible to doing this and like stepping in front of

1385
01:16:18,920 --> 01:16:21,400
Speaker 8: the agency and trying to make season setting.

1386
01:16:21,160 --> 01:16:24,599
Speaker 7: This favor with your constituents pretty quick.

1387
01:16:24,520 --> 01:16:28,200
Speaker 8: On a like a right. But in the big picture

1388
01:16:28,280 --> 01:16:30,720
Speaker 8: health of like this whole system that we benefit from,

1389
01:16:30,840 --> 01:16:32,519
Speaker 8: it's not a it's not a good thing.

1390
01:16:34,439 --> 01:16:37,400
Speaker 1: Here's one and this is one I wanting to talk about.

1391
01:16:37,400 --> 01:16:39,360
Speaker 1: This is this is a major issue. Almost I want

1392
01:16:39,360 --> 01:16:41,240
Speaker 1: to spend more time on the future. This is a

1393
01:16:41,280 --> 01:16:43,400
Speaker 1: way of tipping it off, and I'd like to find

1394
01:16:43,439 --> 01:16:45,320
Speaker 1: a great guest for the interview show, just to come

1395
01:16:45,400 --> 01:16:48,080
Speaker 1: in and do a podcast interview about the issue of

1396
01:16:50,040 --> 01:16:53,320
Speaker 1: bottom trawling. Okay, I gotta explain this whole thing. But

1397
01:16:53,840 --> 01:16:58,959
Speaker 1: bottom the bottom trawling industry, particularly in international waters in Alaska,

1398
01:16:59,080 --> 01:17:03,479
Speaker 1: which has become the subject of trawling, has become a

1399
01:17:03,720 --> 01:17:08,680
Speaker 1: very contentious issue in recent years as we're seeing collapses

1400
01:17:09,160 --> 01:17:13,320
Speaker 1: and declines in certain fish stocks. Okay, when we say

1401
01:17:13,560 --> 01:17:15,800
Speaker 1: when someone says bottom trawling, another term they used for

1402
01:17:15,880 --> 01:17:20,479
Speaker 1: it is like a dragger dragging. Okay, These bottom trawlers

1403
01:17:20,520 --> 01:17:26,040
Speaker 1: are draggers, are usually targeting large schools of high volume,

1404
01:17:26,200 --> 01:17:30,479
Speaker 1: low quality fish like pollock for instance. They got they

1405
01:17:30,520 --> 01:17:33,280
Speaker 1: got nets the size of football fields, and the nets

1406
01:17:33,320 --> 01:17:35,679
Speaker 1: are weighted. So when you call them draggers, it's because

1407
01:17:35,680 --> 01:17:38,960
Speaker 1: they literally this net system is heavily weighted and is

1408
01:17:39,040 --> 01:17:42,639
Speaker 1: literally dragged along the bottom to where it like scrapes

1409
01:17:42,760 --> 01:17:44,000
Speaker 1: up crabs and stuff.

1410
01:17:44,080 --> 01:17:47,240
Speaker 7: You can do a real quick search on YouTube just

1411
01:17:47,360 --> 01:17:49,800
Speaker 7: type in bottom trawling video and you'll see what these

1412
01:17:49,880 --> 01:17:50,160
Speaker 7: things do.

1413
01:17:50,240 --> 01:17:51,920
Speaker 2: It's pretty like eye opening.

1414
01:17:52,520 --> 01:17:55,360
Speaker 1: It like if you've been out raking your garden or something.

1415
01:17:55,520 --> 01:17:59,400
Speaker 1: It rakes the ocean floor. So people have long looked

1416
01:17:59,439 --> 01:18:01,880
Speaker 1: at what are the detriments of all that of like

1417
01:18:02,040 --> 01:18:05,160
Speaker 1: habitat destruction from drag and these nets and also the

1418
01:18:05,320 --> 01:18:12,600
Speaker 1: bycatch in this industry hit some pretty crazy levels. So

1419
01:18:15,840 --> 01:18:20,600
Speaker 1: annually it's estimated that annually draggers are discarding about one

1420
01:18:20,680 --> 01:18:26,799
Speaker 1: hundred and forty one million pounds of bycatch okay, king salmon, chum, salmon, halibate,

1421
01:18:28,400 --> 01:18:33,479
Speaker 1: even killer whales okay on the Yukon right now. So

1422
01:18:33,840 --> 01:18:36,519
Speaker 1: think about like this, like let's let's talk about king

1423
01:18:36,560 --> 01:18:41,479
Speaker 1: salmon and halibate. King salmon are in bad, bad shape. Okay,

1424
01:18:43,280 --> 01:18:46,280
Speaker 1: there's been a king salmon. Like Indigenous people have been

1425
01:18:46,280 --> 01:18:48,920
Speaker 1: fishing king salmon on the Yukon River for ten thousand years.

1426
01:18:49,080 --> 01:18:51,719
Speaker 1: Right now. You can't keep it king salmon on the Yukon.

1427
01:18:53,240 --> 01:18:56,519
Speaker 1: You cannot keep a king salmon on the Yukon. The

1428
01:18:56,680 --> 01:19:01,479
Speaker 1: dragers and they have observers on board, counting by catches

1429
01:19:01,520 --> 01:19:07,200
Speaker 1: are not guesses. The draggers are killing more kings as

1430
01:19:07,400 --> 01:19:15,400
Speaker 1: bycatch than make it to the upper Yukon. Wow, there's

1431
01:19:15,439 --> 01:19:17,280
Speaker 1: a site you can go on. I was on the

1432
01:19:17,320 --> 01:19:18,960
Speaker 1: site earlier today. There's a site you can go on.

1433
01:19:19,120 --> 01:19:21,920
Speaker 1: You can track by date the by catch from the

1434
01:19:22,040 --> 01:19:29,080
Speaker 1: dragging industry, the bottom trawling industry. Okay, this year, so

1435
01:19:29,240 --> 01:19:31,880
Speaker 1: twenty twenty six, as of if you go on this thing,

1436
01:19:31,920 --> 01:19:34,799
Speaker 1: they got data up to March seven. Up to March seven,

1437
01:19:34,960 --> 01:19:39,559
Speaker 1: twenty twenty six, the draggers off the Alaska's shorelines, they've

1438
01:19:39,640 --> 01:19:43,559
Speaker 1: killed one point three million pounds of halibit. Most years

1439
01:19:43,560 --> 01:19:46,320
Speaker 1: they're scratching off three point five to four point five

1440
01:19:46,400 --> 01:19:49,200
Speaker 1: million pounds of halibit. I got a question, and they

1441
01:19:49,520 --> 01:19:52,280
Speaker 1: let me finish this point on that. And that's not

1442
01:19:52,600 --> 01:19:56,479
Speaker 1: counting the ones that are what's called deck sorded we're

1443
01:19:56,520 --> 01:19:59,960
Speaker 1: hell are removed and thrown back in. And some people

1444
01:20:00,240 --> 01:20:02,880
Speaker 1: estimate that fifty percent of those dives, so that number

1445
01:20:03,000 --> 01:20:07,280
Speaker 1: isn't even totally there. They'll hit in a year. They're

1446
01:20:07,320 --> 01:20:12,120
Speaker 1: gonna hit thirty five thousand kings, okay, so far this year,

1447
01:20:12,400 --> 01:20:16,120
Speaker 1: just in twenty twenty six, eight hundred kings. As of

1448
01:20:16,800 --> 01:20:19,920
Speaker 1: a month ago, ten thousand, eight hundred kings. And you

1449
01:20:20,000 --> 01:20:22,439
Speaker 1: can't keep a king on the kind of go ahead.

1450
01:20:23,280 --> 01:20:27,800
Speaker 7: Those bottom trawlers are not set up to keep and

1451
01:20:28,080 --> 01:20:31,840
Speaker 7: use that by catch like like no, they can't pull

1452
01:20:31,880 --> 01:20:33,880
Speaker 7: a king out and say we're gonna send this to

1453
01:20:34,000 --> 01:20:35,519
Speaker 7: market or a big alb or no.

1454
01:20:35,680 --> 01:20:38,800
Speaker 1: This stuff, this stuff gets now. I one time had

1455
01:20:38,960 --> 01:20:43,759
Speaker 1: burger and a beer with a bottom trawler in Seattle, Washington,

1456
01:20:43,800 --> 01:20:46,120
Speaker 1: where the bottom trawling industry is. Like, he's like a

1457
01:20:46,160 --> 01:20:48,519
Speaker 1: friend of a friend. He's probably pisseding me. Right at

1458
01:20:48,560 --> 01:20:52,840
Speaker 1: this very second he was talking about he was making

1459
01:20:52,920 --> 01:20:55,479
Speaker 1: a point to me talking about the guys that work

1460
01:20:55,560 --> 01:20:58,639
Speaker 1: on the boat that when they come off the boat

1461
01:20:58,760 --> 01:21:05,120
Speaker 1: they have palettes of fish to bring home personal use.

1462
01:21:05,439 --> 01:21:05,679
Speaker 2: Yeah.

1463
01:21:06,000 --> 01:21:07,560
Speaker 1: And I don't even know if that's loud or not.

1464
01:21:08,600 --> 01:21:13,599
Speaker 1: Palettes of fish sable fish. But this stuff is getting

1465
01:21:13,680 --> 01:21:20,400
Speaker 1: kicked off. Okay, Now there's a pole that's out. I

1466
01:21:20,439 --> 01:21:22,320
Speaker 1: don't know who conducted the pole. I haven't looked at

1467
01:21:22,360 --> 01:21:24,439
Speaker 1: the pole. There's a pole of a thousand people, and

1468
01:21:24,479 --> 01:21:26,400
Speaker 1: it could I didn't read the wording on the pole.

1469
01:21:26,439 --> 01:21:28,760
Speaker 1: And you can heavily influence a poll by how you

1470
01:21:28,920 --> 01:21:33,400
Speaker 1: word a pole, right, and a really good polster builds

1471
01:21:33,520 --> 01:21:36,320
Speaker 1: questions that aren't leading. I don't know what the questions are.

1472
01:21:36,800 --> 01:21:38,880
Speaker 1: I don't know how valid the polling data is. But

1473
01:21:38,960 --> 01:21:42,599
Speaker 1: there's some pole of dating polling data suggesting that seventy

1474
01:21:42,680 --> 01:21:48,679
Speaker 1: four percent of Alaskans of pose bottom trawling. What happened recently?

1475
01:21:48,840 --> 01:21:51,920
Speaker 1: There's this open letter where five thousand Alaskans wrote an

1476
01:21:51,920 --> 01:21:57,880
Speaker 1: open letter to Representative Nick Beggach, who apparently had campaigned

1477
01:21:58,040 --> 01:22:01,559
Speaker 1: on raining in the bottom trawlers. But since the election

1478
01:22:01,760 --> 01:22:05,000
Speaker 1: hasn't in their mind, I don't know about the extent

1479
01:22:05,040 --> 01:22:08,400
Speaker 1: of this in this letter's mind, hasn't hasn't made good

1480
01:22:08,439 --> 01:22:11,599
Speaker 1: on the promise to reign in bottom trawlers.

1481
01:22:13,160 --> 01:22:13,280
Speaker 10: Uh.

1482
01:22:14,960 --> 01:22:18,000
Speaker 1: I was reading a quote from a guy like the

1483
01:22:18,280 --> 01:22:21,599
Speaker 1: part of the reluctance of regulating bottom trawling or outright

1484
01:22:21,680 --> 01:22:24,479
Speaker 1: banning bottom trawling, as people are like, yes, these fisheries

1485
01:22:24,520 --> 01:22:29,040
Speaker 1: are imperiled and collapsing, but we don't know all the causes,

1486
01:22:29,800 --> 01:22:32,719
Speaker 1: and since we don't know all the causes, we shouldn't

1487
01:22:32,720 --> 01:22:34,960
Speaker 1: address any of the causes. And I was reading this

1488
01:22:35,040 --> 01:22:36,720
Speaker 1: guy's comment. He's like, let's say you got a little

1489
01:22:36,760 --> 01:22:38,640
Speaker 1: kid and he's got five McNuggets, and also then he's

1490
01:22:38,680 --> 01:22:41,640
Speaker 1: got no McNuggets left. He gets five a day, but

1491
01:22:41,680 --> 01:22:44,679
Speaker 1: there's none. He learns that someone's throwing two in the garbage.

1492
01:22:45,600 --> 01:22:47,240
Speaker 1: He doesn't know where the other three are going, but

1493
01:22:47,320 --> 01:22:50,320
Speaker 1: there's two going in the garbage. Should he be like well,

1494
01:22:50,320 --> 01:22:52,479
Speaker 1: I'm gonna hold off on talking to the guy that's

1495
01:22:52,520 --> 01:22:55,679
Speaker 1: throwing two in the trash while I figure out what's

1496
01:22:55,760 --> 01:22:58,600
Speaker 1: happening to the other three. Or do you go like, okay, immediately,

1497
01:22:59,040 --> 01:23:03,080
Speaker 1: let's not the two in the tu and then we'll

1498
01:23:03,120 --> 01:23:06,880
Speaker 1: find out more about these other three. But that's the

1499
01:23:07,000 --> 01:23:10,280
Speaker 1: logic they have. So if you read about this online,

1500
01:23:10,360 --> 01:23:15,000
Speaker 1: you'll find these like pro bottom trawling op eds, which

1501
01:23:15,080 --> 01:23:18,680
Speaker 1: are from the industry. They have their own lobbying wing,

1502
01:23:18,800 --> 01:23:20,880
Speaker 1: and they do the classic thing where they're like, it's

1503
01:23:20,920 --> 01:23:25,400
Speaker 1: out of state billionaires, out of state billionaires pushing to

1504
01:23:25,520 --> 01:23:29,479
Speaker 1: ban bottom trawling. But the bottom trolling industry is buy

1505
01:23:29,479 --> 01:23:33,680
Speaker 1: and large from Seattle. The five thousand letters that went

1506
01:23:33,720 --> 01:23:37,600
Speaker 1: into Nick Beggars were Alaskans. The people that bitch to

1507
01:23:37,680 --> 01:23:39,920
Speaker 1: me about it, I don't know how to staterors that

1508
01:23:40,040 --> 01:23:43,000
Speaker 1: know about this. The people that come to me and

1509
01:23:43,080 --> 01:23:47,400
Speaker 1: talk to me about the bottom trolling problem are commercial fishermen, longliners,

1510
01:23:47,920 --> 01:23:51,639
Speaker 1: charter captains in Alaska talking to me about the bottom

1511
01:23:51,720 --> 01:23:54,280
Speaker 1: trawlling problem. I'm not hearing it from out of state billionaires.

1512
01:23:55,000 --> 01:23:55,200
Speaker 8: Yep.

1513
01:23:55,600 --> 01:23:58,799
Speaker 7: American seafoods is one of the biggest bottom trawlling companies,

1514
01:23:58,840 --> 01:23:59,799
Speaker 7: they're out of Seattle.

1515
01:24:00,280 --> 01:24:03,120
Speaker 1: But it's this classic oh yeah, he's out of touch billionaires.

1516
01:24:03,200 --> 01:24:04,920
Speaker 1: It's like, are you telling me there's a bunch of

1517
01:24:05,000 --> 01:24:08,000
Speaker 1: out of touch billionaires talking about bottom trawling and.

1518
01:24:08,680 --> 01:24:09,800
Speaker 12: What would be their game?

1519
01:24:10,760 --> 01:24:14,320
Speaker 1: They wouldn't know, right, I'm sure they talk about pandas

1520
01:24:14,320 --> 01:24:19,400
Speaker 1: and stuff. But then I've talked about this anyhow, that's

1521
01:24:19,400 --> 01:24:24,000
Speaker 1: a great I do think if I had to crystal

1522
01:24:24,040 --> 01:24:29,840
Speaker 1: ball this, if I had to, and it's like, it's like,

1523
01:24:29,960 --> 01:24:32,920
Speaker 1: I respect it. The people that want to keep that

1524
01:24:33,200 --> 01:24:36,640
Speaker 1: fishery going. They're defending their jobs, they're defending their livelihoods,

1525
01:24:36,640 --> 01:24:39,560
Speaker 1: they're defending their industry, they're defending their family. I understand it,

1526
01:24:39,720 --> 01:24:43,080
Speaker 1: but you are just we are seeing culture that we

1527
01:24:43,160 --> 01:24:48,040
Speaker 1: are seeing that these fisheries are in decline. They're going down.

1528
01:24:48,439 --> 01:24:51,439
Speaker 1: It doesn't look good. If I crystal ball it, I

1529
01:24:51,560 --> 01:24:53,559
Speaker 1: think that this is going to wind up being When

1530
01:24:53,600 --> 01:24:56,360
Speaker 1: I crystal ball it, I think in years coming, this

1531
01:24:56,520 --> 01:25:00,120
Speaker 1: is going to wind up being more regulated and and

1532
01:25:00,520 --> 01:25:01,599
Speaker 1: potentially phased out.

1533
01:25:02,280 --> 01:25:04,720
Speaker 7: Yeah, because I mean, right now, it's just like it's

1534
01:25:04,800 --> 01:25:08,160
Speaker 7: not even that they're killing other commercial fishermen. It's not

1535
01:25:08,400 --> 01:25:10,360
Speaker 7: like a sport fisher that's.

1536
01:25:10,240 --> 01:25:13,479
Speaker 1: Why Crystal balet the way I am. Yeah, I'm Crystal

1537
01:25:13,520 --> 01:25:16,280
Speaker 1: Balt who I am? Because this has become divisive within

1538
01:25:16,439 --> 01:25:20,040
Speaker 1: the commercial industry. So it's not the commercial industry coalescing,

1539
01:25:21,080 --> 01:25:25,080
Speaker 1: right and like in defending their own, it's other people. Yeah,

1540
01:25:25,520 --> 01:25:27,680
Speaker 1: the pot industry, not the pot like weed, but like

1541
01:25:27,800 --> 01:25:33,280
Speaker 1: pot fishery industry industry. They're like, dude, you're making a problem,

1542
01:25:33,640 --> 01:25:37,000
Speaker 1: you know? Or do you Spencer?

1543
01:25:38,360 --> 01:25:42,840
Speaker 3: The Master's Golf Tournament GE's off very soon. It'll be

1544
01:25:42,920 --> 01:25:46,560
Speaker 3: in Augusta, Georgia on April ninth. It's the most prestigious

1545
01:25:46,640 --> 01:25:49,120
Speaker 3: golf tournament in the world. On the line is a

1546
01:25:49,240 --> 01:25:53,200
Speaker 3: four point two million dollars prize, the green jacket, and

1547
01:25:53,400 --> 01:25:57,759
Speaker 3: honorary membership at Augusta National Golf Club, and the winner

1548
01:25:57,840 --> 01:26:01,160
Speaker 3: gets to pick the menu for the Masters Champions Dinner

1549
01:26:01,360 --> 01:26:05,519
Speaker 3: the following year. Back up, Yeah, they win a membership,

1550
01:26:06,000 --> 01:26:08,880
Speaker 3: an honorary membership. It's the hardest golf course to be

1551
01:26:08,960 --> 01:26:10,360
Speaker 3: a member at by the world.

1552
01:26:10,479 --> 01:26:12,480
Speaker 1: But I would think those dudes that all be members.

1553
01:26:12,360 --> 01:26:14,559
Speaker 3: No, that's it's not good enough to just be rich

1554
01:26:14,600 --> 01:26:15,320
Speaker 3: and good at golf.

1555
01:26:15,600 --> 01:26:18,920
Speaker 1: To be a member that takes more than that. Even yeah,

1556
01:26:19,360 --> 01:26:21,640
Speaker 1: some one of the rarest things in life that takes.

1557
01:26:21,400 --> 01:26:24,040
Speaker 4: More than that, Like the second major time we're ever

1558
01:26:24,160 --> 01:26:25,800
Speaker 4: going to be covering golf on this show.

1559
01:26:26,200 --> 01:26:27,960
Speaker 1: Oh, Brian Harmon wins this year, we're go on.

1560
01:26:28,280 --> 01:26:32,360
Speaker 3: Yeah, so that that happens April ninth, and the winner

1561
01:26:32,439 --> 01:26:35,479
Speaker 3: gets to pick the menu for the Masters Champions Dinner

1562
01:26:35,680 --> 01:26:38,920
Speaker 3: the following year. The Masters Champions Dinner, it's an exclusive

1563
01:26:39,000 --> 01:26:42,360
Speaker 3: meal for past winners and the club chairman. Yeah, it's

1564
01:26:42,400 --> 01:26:44,200
Speaker 3: the oldest, whitest group you've ever seen.

1565
01:26:46,960 --> 01:26:50,439
Speaker 4: You watching on YouTube, get the pleasure of this very stunning.

1566
01:26:51,160 --> 01:26:53,519
Speaker 3: This photo was from a year when Tiger did not

1567
01:26:53,640 --> 01:26:56,599
Speaker 3: attend because of one of his injuries. So it's it's

1568
01:26:56,640 --> 01:26:59,560
Speaker 3: for past winners and the club chairman. About thirty some

1569
01:26:59,720 --> 01:27:00,400
Speaker 3: people will attend.

1570
01:27:00,439 --> 01:27:04,479
Speaker 1: This racist comment about Tiger Woods when Tiger Woods won

1571
01:27:04,560 --> 01:27:06,000
Speaker 1: the Masters, I think.

1572
01:27:05,920 --> 01:27:07,800
Speaker 3: There were many dude too made comments.

1573
01:27:07,840 --> 01:27:09,800
Speaker 1: Yeah about this. It was about the dinner.

1574
01:27:09,920 --> 01:27:11,760
Speaker 3: Oh, we'll get to that later on.

1575
01:27:11,880 --> 01:27:12,040
Speaker 5: Here.

1576
01:27:12,280 --> 01:27:15,080
Speaker 3: About thirty people attend this dinner each year. Not only

1577
01:27:15,160 --> 01:27:17,120
Speaker 3: does the previous winner set the menu, but he also

1578
01:27:17,280 --> 01:27:19,080
Speaker 3: pays for it, so you're you're footing the bill.

1579
01:27:19,800 --> 01:27:20,000
Speaker 8: Pick.

1580
01:27:21,040 --> 01:27:23,960
Speaker 3: Rory McElroy, he won the Masters in twenty twenty five,

1581
01:27:24,040 --> 01:27:26,720
Speaker 3: and his menu for this year was just announced. For

1582
01:27:26,840 --> 01:27:29,240
Speaker 3: the main course, you get to choose between a filet

1583
01:27:29,320 --> 01:27:33,559
Speaker 3: mignon and the seared salmon. The first course is yellow

1584
01:27:33,640 --> 01:27:38,200
Speaker 3: fin tunic carpaccio with faugras, and for appetizers, he has

1585
01:27:38,400 --> 01:27:42,880
Speaker 3: peach and ricotta, flatbread, bacon wrapped dates, which were inspired

1586
01:27:42,920 --> 01:27:47,839
Speaker 3: by his mom's recipe, rock shrimp tempura, and grilled elk sliders.

1587
01:27:48,400 --> 01:27:51,800
Speaker 3: Those grilled elk sliders will have caramelized onion jam with

1588
01:27:52,080 --> 01:27:57,439
Speaker 3: roasted garlic aoli. And although that last choice, yeah, yeah,

1589
01:27:57,720 --> 01:28:00,599
Speaker 3: it surprised people. This has been covered by the Today's Show,

1590
01:28:00,640 --> 01:28:03,840
Speaker 3: It's been covered by BBC. It's every year leading up

1591
01:28:03,880 --> 01:28:06,519
Speaker 3: to the Masters, there's like a handful of storylines that emerge,

1592
01:28:06,920 --> 01:28:08,240
Speaker 3: and this this is one of them.

1593
01:28:08,439 --> 01:28:10,240
Speaker 7: You mean, when you say it's been covered, it's like

1594
01:28:10,320 --> 01:28:14,160
Speaker 7: they're picking the elk thing out of They're.

1595
01:28:13,160 --> 01:28:15,960
Speaker 3: Like, you won't believe what Rory McElroy is serving it

1596
01:28:16,040 --> 01:28:17,240
Speaker 3: this Year's Master's Dinner.

1597
01:28:17,439 --> 01:28:19,040
Speaker 1: But I heard that you think it's cool.

1598
01:28:20,200 --> 01:28:22,479
Speaker 3: I think it's of interest to hear you thought it

1599
01:28:22,560 --> 01:28:24,400
Speaker 3: was cool. Yeah, I think it's cool. I think the

1600
01:28:24,439 --> 01:28:25,160
Speaker 3: Masters are cool.

1601
01:28:25,160 --> 01:28:26,160
Speaker 1: I think Rory is cool.

1602
01:28:26,200 --> 01:28:28,160
Speaker 3: I think it's cool that he picked wild game, but

1603
01:28:28,840 --> 01:28:31,879
Speaker 3: it was interesting that that he picked venison. I shouldn't

1604
01:28:31,880 --> 01:28:33,439
Speaker 3: say wild game. That he picked vedicon.

1605
01:28:34,720 --> 01:28:35,599
Speaker 1: It's a farm animal.

1606
01:28:35,680 --> 01:28:36,439
Speaker 3: I understand that.

1607
01:28:36,880 --> 01:28:39,880
Speaker 1: I heard he said that wild game propelled him to victory.

1608
01:28:40,000 --> 01:28:42,680
Speaker 1: He is if I hung out in brothels, if I

1609
01:28:42,760 --> 01:28:46,360
Speaker 1: hung out in cathouses and I won the championship, But

1610
01:28:46,439 --> 01:28:47,920
Speaker 1: I'd be like love.

1611
01:28:52,000 --> 01:28:52,479
Speaker 3: His quote.

1612
01:28:52,720 --> 01:28:56,640
Speaker 7: Wait, wait, like thousands of hunters, let's let's milk the

1613
01:28:56,720 --> 01:28:59,439
Speaker 7: man eat thousands of pounds of Wow.

1614
01:28:59,840 --> 01:29:03,559
Speaker 1: Here show I've only been here to share my.

1615
01:29:04,920 --> 01:29:07,719
Speaker 7: Real wild game, and this guy is like, wild game

1616
01:29:07,960 --> 01:29:09,800
Speaker 7: fueled my run to the master.

1617
01:29:11,320 --> 01:29:12,160
Speaker 1: Of course man.

1618
01:29:12,360 --> 01:29:14,920
Speaker 3: But if one of the biggest sporting events in the

1619
01:29:15,000 --> 01:29:18,160
Speaker 3: world has headlines dealing with venison, that's not of interest.

1620
01:29:18,200 --> 01:29:20,760
Speaker 1: So that's not making it's interest. But I don't like it.

1621
01:29:20,880 --> 01:29:23,920
Speaker 7: That's not making wild elk or the places wild elk

1622
01:29:24,000 --> 01:29:24,879
Speaker 7: live more valuable.

1623
01:29:25,040 --> 01:29:25,879
Speaker 1: It's farm animals.

1624
01:29:26,360 --> 01:29:29,320
Speaker 3: It's still a headline. I don't I don't understand you're.

1625
01:29:29,120 --> 01:29:31,080
Speaker 1: Talking about different things. I heard that you thought it

1626
01:29:31,200 --> 01:29:31,599
Speaker 1: was cool.

1627
01:29:32,040 --> 01:29:35,320
Speaker 3: I think Rory's cool. I think cool. I think it's

1628
01:29:35,360 --> 01:29:36,320
Speaker 3: cool that he picked venice, it.

1629
01:29:36,320 --> 01:29:37,800
Speaker 1: Can still be news that he thought it was dumb.

1630
01:29:38,800 --> 01:29:40,880
Speaker 3: Sure do you got more news? Oh yeah, I got

1631
01:29:41,320 --> 01:29:41,680
Speaker 3: a lot of.

1632
01:29:43,680 --> 01:29:46,080
Speaker 8: Week I just said it was interesting.

1633
01:29:47,640 --> 01:29:49,760
Speaker 3: Rory said he knew that he was putting venison on

1634
01:29:49,800 --> 01:29:51,479
Speaker 3: the menu as soon as he won. Last May, he

1635
01:29:51,520 --> 01:29:53,360
Speaker 3: did an interview with the Today Show. They asked him

1636
01:29:53,400 --> 01:29:55,240
Speaker 3: what he thought he'd be serving at the twenty twenty

1637
01:29:55,280 --> 01:29:57,519
Speaker 3: six dinner. This was this quote that you guys have

1638
01:29:57,520 --> 01:29:58,080
Speaker 3: been referring to.

1639
01:29:58,560 --> 01:29:58,840
Speaker 1: Quote.

1640
01:29:58,960 --> 01:30:01,840
Speaker 3: I've been into wild game recently, so venison, elk, stuff

1641
01:30:01,920 --> 01:30:04,439
Speaker 3: like that. That sort of stuff fueled this run, is

1642
01:30:04,520 --> 01:30:08,559
Speaker 3: what he says. To make the champion. Now fast forward

1643
01:30:08,600 --> 01:30:10,280
Speaker 3: to this year, he did put venison on the menu.

1644
01:30:10,400 --> 01:30:12,519
Speaker 3: He said he considered making it the main course, but

1645
01:30:12,640 --> 01:30:15,880
Speaker 3: decided to make it an appetizer instead because he worried

1646
01:30:15,920 --> 01:30:18,559
Speaker 3: that not everyone loves venison as much as him.

1647
01:30:20,200 --> 01:30:25,439
Speaker 1: Huh, where American from Ireland? Is he maybe gonna be

1648
01:30:25,439 --> 01:30:26,840
Speaker 1: serving up their red deer from over there?

1649
01:30:28,640 --> 01:30:29,080
Speaker 12: It wasn't.

1650
01:30:29,280 --> 01:30:31,800
Speaker 3: I would assume it's it's like New Zealand, you know

1651
01:30:32,240 --> 01:30:33,519
Speaker 3: venison that was raised.

1652
01:30:33,280 --> 01:30:33,760
Speaker 8: Behind a face.

1653
01:30:33,800 --> 01:30:35,920
Speaker 1: Well, why did you write down elk because.

1654
01:30:35,680 --> 01:30:36,320
Speaker 3: It says elk.

1655
01:30:39,040 --> 01:30:39,960
Speaker 2: I didn't I didn't make that.

1656
01:30:41,280 --> 01:30:43,320
Speaker 3: It's it's not the first time elk has been on

1657
01:30:43,479 --> 01:30:51,280
Speaker 3: the menu, specially in two thousand and four, Mike Weir,

1658
01:30:51,479 --> 01:30:53,840
Speaker 3: the only Canadian to ever win the Masters, got to

1659
01:30:53,880 --> 01:30:57,160
Speaker 3: pick the dinner. He served elk, wild boar, sakey salmon,

1660
01:30:57,280 --> 01:31:00,840
Speaker 3: an Arctic char and while Rory has a big list

1661
01:31:00,920 --> 01:31:02,840
Speaker 3: of hand picked wines on the menu, this year, Mike

1662
01:31:02,880 --> 01:31:06,280
Speaker 3: we Are only did Canadian beers with with his wild.

1663
01:31:06,080 --> 01:31:07,960
Speaker 2: That guy might have been using the real stuff.

1664
01:31:09,800 --> 01:31:13,040
Speaker 1: Oh yeah, because he was cleaning up guys is eating

1665
01:31:13,080 --> 01:31:13,800
Speaker 1: their thirty thirty.

1666
01:31:14,280 --> 01:31:16,000
Speaker 2: If you're just making some Canadian he.

1667
01:31:16,000 --> 01:31:18,400
Speaker 1: Could get some real you know what, We'll send it.

1668
01:31:18,760 --> 01:31:21,240
Speaker 1: He's listening. I'll send you the ol Me.

1669
01:31:21,360 --> 01:31:23,360
Speaker 3: We'll give you the wild game for the next enough

1670
01:31:23,840 --> 01:31:25,080
Speaker 3: harm just send.

1671
01:31:25,040 --> 01:31:28,840
Speaker 1: Us Brian, Brian Harmon. Brian Harmon will give you all

1672
01:31:28,880 --> 01:31:32,160
Speaker 1: the venison you want, real meat, real outdoor wild meat.

1673
01:31:32,240 --> 01:31:32,960
Speaker 3: Wouldn't take that out.

1674
01:31:33,080 --> 01:31:36,640
Speaker 1: Brian Harmon beats. This guy's button is Brian Harmon, and

1675
01:31:36,680 --> 01:31:37,760
Speaker 1: this golf tur will be there.

1676
01:31:37,920 --> 01:31:38,360
Speaker 2: That's right.

1677
01:31:38,520 --> 01:31:41,280
Speaker 1: I hope you win. And then next year when they

1678
01:31:41,320 --> 01:31:43,160
Speaker 1: come out with the menu, it's going to say real.

1679
01:31:45,160 --> 01:31:45,639
Speaker 8: Slider.

1680
01:31:46,080 --> 01:31:49,200
Speaker 3: This dinner has been a tradition since the nineteen fifties.

1681
01:31:49,520 --> 01:31:51,479
Speaker 3: Here's some of the most notable things ever put on

1682
01:31:51,560 --> 01:31:54,080
Speaker 3: the menu. Nineteen ninety eight, a twenty one year old

1683
01:31:54,120 --> 01:31:57,000
Speaker 3: Tiger Woods was setting the menu after his first Masters win.

1684
01:31:57,360 --> 01:32:00,400
Speaker 3: He was the youngest champion ever. He served cheese bers,

1685
01:32:00,479 --> 01:32:04,640
Speaker 3: chicken sandwiches, French fries, and milkshakes. He was ridiculed for

1686
01:32:04,720 --> 01:32:06,519
Speaker 3: his choice, and the next time he won, in two

1687
01:32:06,560 --> 01:32:10,120
Speaker 3: thousand and two, he instead served a porterhouse steak and sushi.

1688
01:32:10,800 --> 01:32:14,280
Speaker 3: When reflecting on God. When reflecting on his nineteen ninety

1689
01:32:14,320 --> 01:32:16,720
Speaker 3: eight menu, Tiger said, quote, I just went with what

1690
01:32:16,840 --> 01:32:19,160
Speaker 3: I like. It wasn't trying. I wasn't trying to be

1691
01:32:19,280 --> 01:32:23,320
Speaker 3: fancy or anything like that. Nineteen eighty nine, Scottish golfer

1692
01:32:23,439 --> 01:32:26,639
Speaker 3: Sandy Lyle was setting the menu. He horrified his peers

1693
01:32:26,680 --> 01:32:30,519
Speaker 3: by choosing hagis. If you're not familiar with that's a

1694
01:32:30,760 --> 01:32:34,879
Speaker 3: savory pudding made of sheep organs that's then cooked inside

1695
01:32:34,920 --> 01:32:37,640
Speaker 3: of a sheep's stomach. It was reportedly one of the

1696
01:32:37,680 --> 01:32:39,960
Speaker 3: most rejected items ever served at.

1697
01:32:39,880 --> 01:32:42,679
Speaker 1: The end, but I don't think allowed to do real

1698
01:32:42,840 --> 01:32:46,360
Speaker 1: hagas because that was that was served in August, so

1699
01:32:46,439 --> 01:32:48,240
Speaker 1: you wouldn't be able to have the lungion that I love.

1700
01:32:48,600 --> 01:32:52,760
Speaker 3: And then twenty twenty two, Hideki Matsuyama puts together the

1701
01:32:52,840 --> 01:32:57,040
Speaker 3: most expensive Masters Champions dinner ever. It was made to

1702
01:32:57,120 --> 01:33:01,320
Speaker 3: resemble a Michelin dining experience in Tokyo. The menu featured

1703
01:33:01,360 --> 01:33:05,120
Speaker 3: a full spread of sushi and sashimi for appetizers, Miso

1704
01:33:05,240 --> 01:33:09,759
Speaker 3: glazed black cod for the first course, a wagu ribbi

1705
01:33:10,120 --> 01:33:14,040
Speaker 3: for the main course in Japanese strawberry shortcake for dessert.

1706
01:33:14,560 --> 01:33:17,479
Speaker 3: The meals estimated cost two hundred twenty dollars per person,

1707
01:33:17,560 --> 01:33:21,000
Speaker 3: which is forty dollars more than the next most expensive

1708
01:33:21,040 --> 01:33:21,960
Speaker 3: man that dinner.

1709
01:33:22,640 --> 01:33:22,920
Speaker 6: That's it.

1710
01:33:23,000 --> 01:33:24,639
Speaker 1: I would think it'd be a lot more. Now, dude,

1711
01:33:25,160 --> 01:33:25,880
Speaker 1: I want to go to.

1712
01:33:27,920 --> 01:33:28,160
Speaker 2: Sucker.

1713
01:33:28,200 --> 01:33:31,040
Speaker 8: I'm having we're thinking in twenty twenty six menu pricing

1714
01:33:31,200 --> 01:33:34,040
Speaker 8: right in twenty twenty two, two hundred twenty.

1715
01:33:33,880 --> 01:33:36,800
Speaker 3: Dollars, I would say they're just sourcing the ingredients at

1716
01:33:36,840 --> 01:33:40,120
Speaker 3: that point, they're not paying the the white staff.

1717
01:33:39,920 --> 01:33:43,040
Speaker 1: And the chefs, right. And Brian Harmon wins.

1718
01:33:43,120 --> 01:33:45,840
Speaker 3: Dude, I went to the Masters a few years ago

1719
01:33:46,160 --> 01:33:49,160
Speaker 3: and Brian was walking and I had said I was

1720
01:33:49,200 --> 01:33:50,760
Speaker 3: explaining to the people I was with how he's a

1721
01:33:50,760 --> 01:33:53,600
Speaker 3: big turkey hunter, and I'm like, I'm gonna do a

1722
01:33:53,640 --> 01:33:55,320
Speaker 3: turkey call and see if he noticed this. He must

1723
01:33:55,360 --> 01:34:00,800
Speaker 3: have been one hundred yards away, so sure, a real no,

1724
01:34:01,040 --> 01:34:02,479
Speaker 3: just with my mouth, that's pretty good.

1725
01:34:07,080 --> 01:34:07,240
Speaker 1: Oh.

1726
01:34:07,720 --> 01:34:10,520
Speaker 3: He snapped his head around and looked, and he never identified.

1727
01:34:10,560 --> 01:34:12,400
Speaker 3: I don't think where that turkey call was coming from,

1728
01:34:12,439 --> 01:34:14,040
Speaker 3: but it was like it was a moment in his

1729
01:34:14,280 --> 01:34:16,479
Speaker 3: day walking around and he heard a turkey.

1730
01:34:16,560 --> 01:34:18,559
Speaker 8: Was that before or after he came on the podcast?

1731
01:34:18,800 --> 01:34:19,840
Speaker 3: That was afterwards?

1732
01:34:23,320 --> 01:34:25,479
Speaker 2: I could see there being some big gobblers around.

1733
01:34:25,840 --> 01:34:29,639
Speaker 3: No, no, the masters has some more around, Like there's

1734
01:34:29,720 --> 01:34:30,599
Speaker 3: not even birds there.

1735
01:34:30,720 --> 01:34:32,200
Speaker 8: You know you see a squirrel?

1736
01:34:33,280 --> 01:34:35,720
Speaker 3: Well yeah, it's just like that manicured every blade of

1737
01:34:35,800 --> 01:34:36,640
Speaker 3: grass is thought of.

1738
01:34:36,840 --> 01:34:39,160
Speaker 1: Do you remember there was that little scandal that they

1739
01:34:39,240 --> 01:34:42,559
Speaker 1: were pumping bird noises. They were pumping in bird noises

1740
01:34:42,680 --> 01:34:44,479
Speaker 1: and then some bird It was like home, that bird

1741
01:34:44,520 --> 01:34:46,400
Speaker 1: doesn't live around there, and they got bosses.

1742
01:34:48,600 --> 01:34:50,639
Speaker 3: He was watching on TV and he heard a bird

1743
01:34:50,680 --> 01:34:53,120
Speaker 3: that's not present in Kentucky or wherever they're going at.

1744
01:34:54,000 --> 01:34:55,920
Speaker 1: He's like, dude, that's that's that bird is not there,

1745
01:34:56,240 --> 01:34:57,280
Speaker 1: that's a fake bird noise.

1746
01:34:58,280 --> 01:35:02,920
Speaker 3: Cornel we have a Master's inspired recipe on the meat

1747
01:35:02,960 --> 01:35:06,640
Speaker 3: eater dot com. It's chef Lucas leafs fish sliders with

1748
01:35:06,800 --> 01:35:10,360
Speaker 3: Pimento cheese. Pimento cheese sandwich has been famously served at

1749
01:35:10,400 --> 01:35:13,160
Speaker 3: the Masters since the nineteen forties. So this is Lucas's

1750
01:35:13,240 --> 01:35:16,080
Speaker 3: take on that, which includes crappie and a slaw.

1751
01:35:17,479 --> 01:35:18,439
Speaker 1: That was a hell of report.

1752
01:35:18,600 --> 01:35:18,920
Speaker 15: Thank you.

1753
01:35:19,479 --> 01:35:20,320
Speaker 1: Cole's a doozy.

1754
01:35:20,400 --> 01:35:21,080
Speaker 3: I'm passionate.

1755
01:35:22,000 --> 01:35:23,560
Speaker 8: Really, I like the last I had to fight for

1756
01:35:23,680 --> 01:35:24,840
Speaker 8: it too, It's great.

1757
01:35:25,800 --> 01:35:27,200
Speaker 3: Hell yeah, I was fighting.

1758
01:35:28,760 --> 01:35:32,160
Speaker 1: That's what makes a good report. It gets there's there's

1759
01:35:32,400 --> 01:35:34,560
Speaker 1: channels that have mastered this thing. You know, like the

1760
01:35:34,680 --> 01:35:37,519
Speaker 1: news is all meant to make you mad, and that's

1761
01:35:37,560 --> 01:35:40,439
Speaker 1: Spencer's style. You know, he has news that makes you mad.

1762
01:35:45,680 --> 01:35:48,080
Speaker 8: Because just because you're really.

1763
01:35:49,439 --> 01:35:50,519
Speaker 1: Dude, that was a great news.

1764
01:35:51,520 --> 01:35:51,680
Speaker 16: You know.

1765
01:35:52,560 --> 01:35:55,400
Speaker 1: Holy sliders.

1766
01:35:57,560 --> 01:35:59,760
Speaker 3: Elk and Crappie sliders film both in.

1767
01:36:00,960 --> 01:36:03,240
Speaker 1: All right, everybody, thanks for joining see you next week.

1768
01:36:03,760 --> 01:36:06,040
Speaker 5: Oh we can get that out.

1769
01:36:06,120 --> 01:36:07,879
Speaker 2: Hang on, just he just ruined everything.

1770
01:36:08,280 --> 01:36:12,679
Speaker 1: Don't hang up just yet. We've been talking. We hope

1771
01:36:12,720 --> 01:36:15,040
Speaker 1: you've heard about We've talked about our twelve and twenty

1772
01:36:15,120 --> 01:36:20,639
Speaker 1: six video program. So twelve we're doing like every month

1773
01:36:21,000 --> 01:36:24,919
Speaker 1: we got a big, you know, almost hour long premiere

1774
01:36:25,040 --> 01:36:27,000
Speaker 1: video coming out. It's called twelve and twenty six. So

1775
01:36:27,240 --> 01:36:29,360
Speaker 1: if you're not too sharp, I'll help you explain it.

1776
01:36:30,400 --> 01:36:34,040
Speaker 1: There are twelve months in twenty twenty six. Each of

1777
01:36:34,120 --> 01:36:39,160
Speaker 1: those months will be allocated a premiere long form video project.

1778
01:36:39,520 --> 01:36:40,440
Speaker 5: This month's.

1779
01:36:41,960 --> 01:36:48,800
Speaker 1: Is Clay Newcomb's Utah Mountain Lion Hunt. Also Bear. Tell

1780
01:36:48,840 --> 01:36:50,519
Speaker 1: them about bear Grease YouTube?

1781
01:36:50,640 --> 01:36:53,960
Speaker 15: Yeah, well we started, uh well, we jump started a

1782
01:36:54,640 --> 01:36:58,840
Speaker 15: YouTube channel. It's now the Bear Grease YouTube channel. I've

1783
01:36:58,840 --> 01:37:01,160
Speaker 15: been running it for out a month now, a little

1784
01:37:01,200 --> 01:37:02,920
Speaker 15: over a month, and we've got a little bit of

1785
01:37:02,960 --> 01:37:06,160
Speaker 15: a different style content than what you're seeing stuff from

1786
01:37:06,200 --> 01:37:06,519
Speaker 15: Meat Eater.

1787
01:37:07,200 --> 01:37:10,200
Speaker 1: Yeah you could call it that, you know, it's funny,

1788
01:37:10,320 --> 01:37:11,920
Speaker 1: real low browse I did.

1789
01:37:12,240 --> 01:37:15,920
Speaker 15: I did a video on on falconry and the Falconers

1790
01:37:16,120 --> 01:37:18,439
Speaker 15: that I went with. They were like, when is Steve

1791
01:37:18,520 --> 01:37:22,560
Speaker 15: going to cover falconry because yeah, I know all about this.

1792
01:37:23,240 --> 01:37:25,360
Speaker 15: So anyway, that's what I mean, different style content.

1793
01:37:27,120 --> 01:37:28,799
Speaker 1: That's that's dungeons and dragons.

1794
01:37:30,439 --> 01:37:33,800
Speaker 15: I've spent a little bit of time around falconers last year,

1795
01:37:33,840 --> 01:37:36,000
Speaker 15: and I see what you mean.

1796
01:37:36,840 --> 01:37:41,080
Speaker 1: The D and D types or the like they were legit. Okay,

1797
01:37:41,200 --> 01:37:43,439
Speaker 1: well no, I'm not saying you're illegitimate if you're D

1798
01:37:43,520 --> 01:37:44,680
Speaker 1: and D. It's just different.

1799
01:37:44,439 --> 01:37:49,000
Speaker 15: Pathways, right right, Well they were, they're like woodsmen, I'll

1800
01:37:49,040 --> 01:37:51,280
Speaker 15: put it, like their woodsmen. Yeah, but I say, I

1801
01:37:51,360 --> 01:37:56,840
Speaker 15: mean like like D and D right sixty of falconers

1802
01:37:56,960 --> 01:37:59,280
Speaker 15: or I would say exactly like that.

1803
01:37:59,520 --> 01:38:00,880
Speaker 1: Did you mention that scientifically?

1804
01:38:01,040 --> 01:38:02,839
Speaker 6: No, just kind of observing.

1805
01:38:03,479 --> 01:38:10,519
Speaker 15: But anyway, we've got that's cool. Yeah, and uh yeah,

1806
01:38:10,560 --> 01:38:13,920
Speaker 15: so we've we've got the YouTube channel going. We've got

1807
01:38:14,000 --> 01:38:18,000
Speaker 15: a video coming on Friday. So by the time this

1808
01:38:18,000 --> 01:38:21,240
Speaker 15: says that'll be tomorrow, there's a video coming tomorrow where

1809
01:38:21,280 --> 01:38:23,240
Speaker 15: we hog hunt with Dale Brisbee and.

1810
01:38:23,320 --> 01:38:26,240
Speaker 1: Evan Felker, mules and horses. Did you go on it?

1811
01:38:26,560 --> 01:38:26,720
Speaker 6: Yeah?

1812
01:38:27,040 --> 01:38:28,720
Speaker 1: Have fun. Oh yeah's a good guy.

1813
01:38:28,880 --> 01:38:32,920
Speaker 6: Yeah he is, he is. But anyway, bear grease YouTube

1814
01:38:32,960 --> 01:38:33,840
Speaker 6: channel go check it out.

1815
01:38:34,840 --> 01:38:36,479
Speaker 1: All right, Thanks guys, see you next week.

1816
01:38:38,439 --> 01:38:47,679
Speaker 16: When you flew out the wind to the sunset, thought

1817
01:38:48,560 --> 01:38:59,479
Speaker 16: would never stop stream, thought I would never stop stream.

1818
01:39:01,600 --> 01:39:02,160
Speaker 15: Your name.

1819
01:39:09,320 --> 01:39:14,120
Speaker 17: But I ran out of breath, so I to again

1820
01:39:14,800 --> 01:39:21,000
Speaker 17: some more, and I started screaming loud.

1821
01:39:24,640 --> 01:39:28,240
Speaker 12: Streaming goes on for a.

1822
01:39:32,000 --> 01:39:32,200
Speaker 5: Name.

1823
01:39:39,120 --> 01:39:39,840
Speaker 12: So if you.

1824
01:39:41,680 --> 01:39:44,800
Speaker 2: Love this ferver.

1825
01:39:46,680 --> 01:39:50,040
Speaker 16: That'll probably be screaming.

1826
01:39:50,320 --> 01:39:51,120
Speaker 8: Let love.

1827
01:39:54,200 --> 01:39:57,240
Speaker 11: I'm trying to be cool here

1828
01:39:57,720 --> 01:41:03,640
Speaker 16: But inside I'm sta