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Speaker 1: This is the Meat Eater Podcast coming at you shirtless, severely,

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Speaker 1: bug bitten, and in my case, underwear listeningcast.

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Speaker 2: You can't predict anything.

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Speaker 1: The Meat Eater Podcast is brought to you by first Light.

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Speaker 1: Whether you're checking trail cams, hanging deer stands, or scouting

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Speaker 1: for ELK. First Light has performance apparel to support every

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Speaker 1: hunter in every environment. Check it out at first light

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Speaker 1: dot com. F I R S T L I T

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Speaker 1: E dot com. He was he's getting his vegetation management

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Speaker 1: on his place.

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Speaker 3: Oh, I said, clo old, mature, closed canopy, oak forest.

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Speaker 4: He's giving you shit about you wanting everything to.

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Speaker 1: Look like a park.

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Speaker 3: No, if you can see more are more important things.

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Speaker 1: If you if someone told you you could kill your daughter,

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Speaker 1: make a box be big. You're not gonna kill your daughter,

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Speaker 1: of course not okay.

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Speaker 3: But is this on?

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Speaker 1: Yeah, trees start the mill started a minute ago where

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Speaker 1: I said, have it start right where I said that

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Speaker 1: Yanni if he would kill his daughter to make a

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Speaker 1: bigger buck, and then we'll pick up.

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Speaker 3: Now you're saying that, uh, my daughter is the equivalent

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Speaker 3: value to a stand of oaks.

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Speaker 1: No, the point I'm making in your in your drive

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Speaker 1: to make your Wisconsin property a big buck heaven, to

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Speaker 1: make it part of the white tail industrial complex.

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Speaker 3: You're willing, you're already mischaracterizing.

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Speaker 1: You're willing to sacrifice. You're willing to sacrifice these poor

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Speaker 1: trees that have been there a long time. Would would

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Speaker 1: would you?

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Speaker 3: Uh?

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Speaker 4: Would you say that you would be a happy.

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Speaker 5: Hunter if everyone managed their oak stands to look like

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Speaker 5: a hundred year old park.

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Speaker 1: I don't understand the question. Put it in terms of

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Speaker 1: me killing my children.

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Speaker 4: I That's not how my brain works. What I'm saying

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Speaker 4: is is hunting in America would be extremely different if

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Speaker 4: everything looked how you wanted to look.

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Speaker 1: I understand, I understand. What I'm trying to prevent him

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Speaker 1: from doing is chopping them all down and not and

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Speaker 1: not leaving some amount of them up.

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Speaker 3: I already told you I'm leaving some amount of them

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Speaker 3: less than ten.

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Speaker 4: Low stem density, slicker down.

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Speaker 1: Yanni. That's what I say, just just to bring people

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Speaker 1: up to speed who are joining us today. Yanni's been

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Speaker 1: trying to develop a how many acres?

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Speaker 3: Forty?

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Speaker 1: He's trying to develop forty acres of Wisconsin hardwood into

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Speaker 1: into a little deer nest, and in doing this, he's

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Speaker 1: gonna wildlife nest and in doing this, he's gonna kill

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Speaker 1: all kinds of oaks. Which here's the thing that strikes me.

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Speaker 1: Here's why this is upsetting to me, my dear mother,

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Speaker 1: who still lives in the house I grew up in

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Speaker 1: that yard. Our yard where I grew up was when

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Speaker 1: I was a boy, was just giant oaks, a bunch

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Speaker 1: of probably ten, I don't know, giant oaks. And then

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Speaker 1: over the years they have, out of expediency oftentimes for

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Speaker 1: as frivolous of a concern is leaf raking and stick

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Speaker 1: picking up, they have pretty much eradicated the oaks as

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Speaker 1: has as has been a general movement all around that lake.

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Speaker 1: So where once from the air it was just an

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Speaker 1: oak canopy and squirrel heaven, has been just this movement

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Speaker 1: to like get rid of all these big beautiful trees,

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Speaker 1: not for deer management. So when I hear people chopping

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Speaker 1: down all the trees, like I go to a kind

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Speaker 1: of a low rax place.

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Speaker 4: Yep, you got to picture all the trees that are

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Speaker 4: going to be there.

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Speaker 1: After everyone's dead, after after The hard to look to

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Speaker 1: the future is when all humans are gone, you know,

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Speaker 1: because we won't right, yeap, Just how crazy the earth

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Speaker 1: is going to get when it rebuilds in a few

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Speaker 1: million years.

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Speaker 5: It'll be good deer hunting to chop all the big

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Speaker 5: trees down.

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Speaker 1: I get tim I get timmer management. I just I

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Speaker 1: just I'm gonna move on from the subject. I just

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Speaker 1: want you to just be delicate and and and be

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Speaker 1: delicate nature.

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Speaker 5: Listen, if we all die tomorrow, all the humans are gone,

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Speaker 5: nature is going to come through with a big wind storm,

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Speaker 5: knock all those damn oaks over. Anyway, It's gonna and

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Speaker 5: a fire is gonna come through and burn that. It's

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Speaker 5: just going to get back to its normal fire cycle.

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Speaker 5: Johannis just kind of mimicking that through a timber harvest.

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Speaker 6: Yeah, it's interesting. I grew up in a place and

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Speaker 6: that's exactly what it is. There's been no management whatsoever.

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Speaker 6: Lots of old oaks, but lots of big wind storms

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Speaker 6: and it's just a jungle now. But the deer love it.

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Speaker 1: Yeah, I mean it's a deer are Paul as you

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Speaker 1: like you've been on the show before. I had been

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Speaker 1: on your last time. Paul from Vortex Office.

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Speaker 6: Is great to be here, but that was probably one

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Speaker 6: of the first way back. It would be way back.

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Speaker 6: I can't even remember what the topics would have been

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Speaker 6: we were talking about, but we were.

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Speaker 3: Like, let's discuss rifle sculpt and how they.

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Speaker 6: Were probably Yeah, that's exactly what it was.

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Speaker 5: Pull your mic up just a little bit higher on

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Speaker 5: your there sound better?

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Speaker 3: Yeah, high level with your mustache as such as it is.

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Speaker 1: It's just right here to fingers. There you go, all right,

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Speaker 1: Jason Phelps is with us today. Glad here are your

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Speaker 1: mic up to? Jeez, glad to be here. Cus de

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Speaker 1: your hunting in the rain, joined as well by Starbucks

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Speaker 1: apologist Matt Cook.

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Speaker 2: We have to talk about that. Shill got some things

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Speaker 2: about that. I get upset all.

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Speaker 1: Over again, and uh yeah, honest and seth. I could

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Speaker 1: bore you guys, well, yeah, do you ever want to do that? No,

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Speaker 1: I'm not gonna bore you with that. But here's something

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Speaker 1: interesting someone wrote in about So. We recently had the agriculturalist,

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Speaker 1: Will agriculturist, speaking of land management, Will Harris. Were you

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Speaker 1: there when Will Harris was on the show, No, sir,

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Speaker 1: he runs a large regendat Regenerate He we we discussed

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Speaker 1: with him regenerative agriculture. What that means is some of

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Speaker 1: the practices that go into it. And he talked about

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Speaker 1: they run a slow water plant on.

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Speaker 3: The oh yeah, yeah, yeah, no, what was it? Last oak? No,

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Speaker 3: white oaks, not like a brush pastures, white oak pastures

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Speaker 3: mm hmm. But you know you got to kill out

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Speaker 3: of white oaks that have pasture underneath.

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Speaker 1: Will Harrison white Oak Pastures was on and he was

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Speaker 1: talking about their his this this grand scale experiment of

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Speaker 1: trying to create a farm where you minimize, you minimize

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Speaker 1: what comes you, try to have more individual control of

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Speaker 1: what comes in and what goes off of the place,

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Speaker 1: to the point where they are running their own inspected

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Speaker 1: slaughter plant for the livestock that they sell. They sell

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Speaker 1: much of it direct to consumer, and then they also

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Speaker 1: are doing their own composting of the guts and guts

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Speaker 1: and everything off their own livestock. What's the word I'm

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Speaker 1: looking for. You don't say guts if you're a livestock man. Awful,

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Speaker 1: the viscera awful, awful, they're composting their own awful. And

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Speaker 1: so they have they use heavy equipment and they use

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Speaker 1: wood chips and other things, and they're able to after

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Speaker 1: the slaughtery a will take all of the non usable

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Speaker 1: animal remains and compost them on site, and then use

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Speaker 1: that compost on site. A gentleman wrote in, uh, and

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Speaker 1: this is fitting, Dirt, you were talking about doing a

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Speaker 1: shot of the Last Supper? Can you still pull that off?

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Speaker 1: Dirt's back here? Oh, Dirt, While you're doing that, I'm

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Speaker 1: gonna share with listeners a thing that Dirt shared with me.

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Speaker 1: Who is not present when Dirt discussed his grandfather's chapstick

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Speaker 1: of choice?

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Speaker 4: Oh, I was not present?

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Speaker 2: Not present?

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Speaker 1: Okay, Now I'm gonna give you three guesses as to

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Speaker 1: what Dirt's grandfather other liked for chapstick. How wild do

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Speaker 1: we have to go?

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Speaker 2: Just?

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Speaker 1: It ain't chapstick, beef tow, it ain't for sale at

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Speaker 1: the store, beef Tell.

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Speaker 3: You give him a farther hint. There's too many his

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Speaker 3: body produces it.

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Speaker 1: Yes, his grandfather, goodness, Yeah, would dig his own earwax

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Speaker 1: his ear, and apply it as chapstick.

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Speaker 3: Yesterday it was.

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Speaker 2: Lips all day.

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Speaker 1: Yeah, that made a ton of sense. Did you get

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Speaker 1: shout of the Last Supper? Got? Why? I want to

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Speaker 1: key that up? So this gentleman writes in what's this

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Speaker 1: guy's name? Uh, it doesn't really matter. Stephen from Illinois.

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Speaker 1: Stephen from Illinois rights in. As he was listening to

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Speaker 1: our guest talking about composting animals his own site, he

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Speaker 1: reminded him of a Bible verse. He says, an old

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Speaker 1: Bible verse. But all Bible verses are old. If someone

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Speaker 1: shows you a new Bible verse, be skeptical an old

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Speaker 1: Bible verse. Any Israelite or any foreigner residing among you

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Speaker 1: who hunts any animal or bird that may be eaten

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Speaker 1: must drain out the blood and cover it with the

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Speaker 1: earth Leviticus, seventeen thirteen. And he thought about that as

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Speaker 1: he's talking about Will Harris talking about spreading out the

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Speaker 1: guts and covering them with earth, and he wants to

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Speaker 1: know is this a good practice? And he says, perhaps

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Speaker 1: it's not lawful in some areas to dig dirt up

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Speaker 1: and cover your gut pile. But he's wondering, you know

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Speaker 1: where that comes from Biblically? Does it strike someone as

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Speaker 1: good thing when you get done cutting up an animal

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Speaker 1: in the field, that you would go out and cover

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Speaker 1: it with dirt? And is that legal? I have never

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Speaker 1: heard of any restrictions on covering up your gut pile

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Speaker 1: with dirt. The only con I could think of is

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Speaker 1: that usually, well, you know what, in some places you

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Speaker 1: have to, right, probably in condor don't you have to

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Speaker 1: in condo recovery areas? Aren't you supposed to cover your No?

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Speaker 1: Am I making this.

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Speaker 6: Up because of the lead Yeah, potentially that's probably why

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Speaker 6: that would have been.

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Speaker 1: Am I making this up. There's a place you're supposed

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Speaker 1: to cover yourt gut pile, bary your gut pole. No,

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Speaker 1: I think there's somewhere where there was for a while,

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Speaker 1: maybe before the lead band and the condo recovery area,

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Speaker 1: you were actually tasked with covering bearing your gut pile. However,

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Speaker 1: I've never heard of any restrictions on it. Yanni. Well,

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Speaker 1: now in times, I don't know if you still do this.

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Speaker 1: He will drape the hide over just to leave it

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Speaker 1: seeming tidy.

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Speaker 3: I would think, just to make the coyotes work for it.

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Speaker 1: I would think a negative would be in doing this.

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Speaker 1: A negative would be that, you know, rafters will dine

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Speaker 1: on that, and if you're covered it with dirt, maybe

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Speaker 1: make their job a little bit harder. But it's definitely

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Speaker 1: not going to go to waste. But then he gets

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Speaker 1: into a lot of this other stuff that I've discussed

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Speaker 1: before about why are there so many references in the

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Speaker 1: Bible to trapping and talking about other other biblical versus

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Speaker 1: that reference hunting? So Proverbs, who can tell me what?

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Speaker 1: Proverbs twelve twenty seven. Nobody? Okay, lazy people, hear this.

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Speaker 1: Lazy people don't even cook the game they catch, but

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Speaker 1: the diligent make use of everything they find.

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Speaker 2: M M. That's a good one.

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Speaker 3: Yeah.

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Speaker 1: Now he goes on to say this, I'll provide some

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Speaker 1: insight on this in the minute Amos. I didn't even

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Speaker 1: know that was part of them, Amos Amos three five

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Speaker 1: does it's a rhetorical question, I gather. Does a bird

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Speaker 1: swoop down to a trap on the ground when no

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Speaker 1: bait is there? Does a trap spring up from the

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Speaker 1: ground if it has not caught anything? Psalms ninety one

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Speaker 1: to three. Surely He will save you from the fowler's

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Speaker 1: snare and from the deadly pestilence Proverbs one seventeen. How

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Speaker 1: useless to spread a net where every bird can see it?

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Speaker 1: Proverbs sixty five. Free yourself, like a gazelle from the

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Speaker 1: hand of the hunter, like a bird from the snare

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Speaker 1: of the fowler, and then one first Samuel twenty six,

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Speaker 1: the king of Israel has come out to look for

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Speaker 1: a flea as one hunts a partridge in the mountains.

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Speaker 1: Isaiah fifty one to twenty. Your children have fainted. They

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Speaker 1: lie at every street corner like antelope caught in a net.

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Speaker 1: And lastly Ecclesiastices nine to twelve. Moreover, no one knows

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Speaker 1: when their hour will come, as fish are caught in

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Speaker 1: a cruel net, or birds are taken in a snare.

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Speaker 1: So people are trapped by evil times that fall unexpectedly

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Speaker 1: upon them. I think all that seth.

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Speaker 5: I know, Uh, several times in Pennsylvania have come back

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Speaker 5: to a gut pile from a deer I've killed, and

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Speaker 5: it's been covered up by a bobcats. So maybe they're

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Speaker 5: doing the Lord's work out there.

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Speaker 1: There you go, all this netting, so I had I've

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Speaker 1: mentioned this for a while, revisit it. I had occasion

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Speaker 1: one time to go to a thing called you've wrote

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Speaker 1: the Hobbad House. Matt, you're a worldly fella, I am. Yeah,

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Speaker 1: you've been. You've spent time with the Israelites.

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Speaker 2: No, but there's in downtown Chicago.

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Speaker 1: So a friend of mine was Jewish, and we went

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Speaker 1: to this thing called the Hobbad House, and basically it's

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Speaker 1: where reformed I'm gonna say this in the way that

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Speaker 1: the Hobbad probably would not characterize it. It's like it's

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Speaker 1: a it's a Jewish, it's a it's like a Jewish

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Speaker 1: fundamentalist organization that tries to recruit reformed or laxed Jews.

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Speaker 1: So they're not proselytizing to gentiles. They're like proselytizing two

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Speaker 1: Jews who aren't practicing, okay, so they would have zero

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Speaker 1: interest in me as a gen like a Hobbad dude

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Speaker 1: would have zero interest in me as a as a gentile.

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Speaker 1: It's like, I'm not there. I'm not there, but I'm

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Speaker 1: with my friend who's a reformed Jew, and you get

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Speaker 1: to ask these people questions. And she was researching a book,

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Speaker 1: is why she was there. So I was just there

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Speaker 1: hanging out, and I was saying, because we're talking about

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Speaker 1: dietary law from the Old Testament, so Old Testament dietary

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Speaker 1: law gets into a lot of things like that's where

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Speaker 1: you know, you'll say like that don't eat pork, okay,

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Speaker 1: And so everybody says, oh, yeah, of course, the Bible

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Speaker 1: says don't eat pork because you could get trick andosis.

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Speaker 1: But if you ask, uh, if you ask one of

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Speaker 1: these scholars, why does the Bible say don't eat pork?

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Speaker 1: Is it because of trick andosis? They would say, you

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Speaker 1: don't know. We don't know why God said don't eat pork.

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Speaker 1: Don't speak for God. It's a mystery why he'd like,

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Speaker 1: he doesn't say why he doesn't want you to eat pork.

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Speaker 1: Don't eat pork. If he said it was because of

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Speaker 1: it feels because of trick gnosis, he would say, that's

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Speaker 1: what it is. You don't know why. So there's a

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Speaker 1: dietary prohibition. Like if you if you follow the Old Testament,

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Speaker 1: if you follow it literally, you know, like you don't gamble,

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Speaker 1: you definitely don't gamble. You don't eat shrimp. So no,

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Speaker 1: no shellfish, no fish without scales, no animals that don't

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Speaker 1: have a cloven hoof, which rules out hogs, it rules

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Speaker 1: out horse meat, definitely rules out coyotes, an array of

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Speaker 1: insects you're not supposed to eat. And he just lays

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Speaker 1: out like, here's what my people eat, here's what my

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Speaker 1: people don't eat. One of the things that when for

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Speaker 1: you to eat an animal, if you follow the Bible literally,

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Speaker 1: if you eat an animal, that there's a ritualistic way

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Speaker 1: that the animal needs to be killed with a cut

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Speaker 1: to the throat with a certain type of blade. So

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Speaker 1: you'll see references often to netting animals because you can

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Speaker 1: net an animal. You could catch a wild animal and

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Speaker 1: still do ritualistic slaughter to make it kosher. So I

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Speaker 1: was asking him how could you have how could you

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Speaker 1: eat wild game as an observant Jew or as an

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Speaker 1: observant Christian who observes the Old Testament, And he said,

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Speaker 1: you have to catch it in a net, and then

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Speaker 1: you can catch it a net because because the slaughter

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Speaker 1: needs to be able to inspect the animal, and not

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Speaker 1: only that, they need to be able to inspect the viscera.

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Speaker 1: So if you have a cash root cosh root ka

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Speaker 1: s h r u t if you do cosh root

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Speaker 1: slaughter when they have rabbis that they'll gut the animal

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Speaker 1: and pull the lungs out and see if it has

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Speaker 1: any lesions or anything, because they're they're they're playing it

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Speaker 1: so safe with God that they're like God says, don't

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Speaker 1: eat carrying, Okay, So that's another descriptor if you follow

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Speaker 1: the Old Testament literally, and no one does. But if

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Speaker 1: you did, Uh, if you follow the Old Testament literally,

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Speaker 1: you would not be able to eat road kill because

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Speaker 1: you wouldn't be able to ascertain the health of the animal.

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Speaker 1: No one inspected the health of the animal. So some

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Speaker 1: people who are super fundamentalists play it so safe, uh,

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Speaker 1: play it so safe with God that they would be like,

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Speaker 1: not only do I not want to eat carrion, I

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Speaker 1: don't want to eat something that may have had a

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Speaker 1: close brush with death and then lived. So you'll take

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Speaker 1: a perfectly healthy looking animal and they'll still pull its

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Speaker 1: lungs to see if it has any lesions from past

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Speaker 1: ailments that might have made it that like it almost

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Speaker 1: was dead. So you're like, you're you're hedging your bets.

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Speaker 7: I'm starting to really question eating elk with hoof rot

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Speaker 7: and deer that survives CWD and I no.

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Speaker 1: No, you will, you will be struck down. Probably should

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Speaker 1: revisit them.

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Speaker 2: Question for you. So is it anything that is you

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Speaker 2: know you catch the animal live I mean netting, not literally,

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Speaker 2: but if there was a live trap.

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Speaker 1: Yes you could do it.

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Speaker 2: Okay, you could be after you have to be the

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Speaker 2: one that kills it.

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Speaker 1: You could follow Old Testament. You could Old Testament dietary

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Speaker 1: law and catch a deer in a net, which is

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Speaker 1: gonna get in trouble with your state fishing game agency.

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Speaker 1: But you got to sort of go like what matters

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Speaker 1: more like law of God or law of man right,

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Speaker 1: And the Bible will also advise you on where the

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Speaker 1: hierarchy of law falls, and it would say the law

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Speaker 1: of God sits above the law of man. So if

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Speaker 1: you were trying to follow the Bible, you could catch

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Speaker 1: a deer in a net and then do the proper

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Speaker 1: slaughter in the proper way, and that meat would be fine.

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Speaker 1: It's not that there's a problem with the meat in

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Speaker 1: and of itself, it's the process of delivering it to

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Speaker 1: the plate. And then, of course you couldn't mix it

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Speaker 1: with milk, like you can't eat meat and cheese together,

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Speaker 1: because the Bible says, don't boil a kid in its

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Speaker 1: mother's milk. So to play it extra safe, you don't

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Speaker 1: mix milk and meat.

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Speaker 2: Even the milk is different than the animal that you're

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Speaker 2: mixing it with, meaning.

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Speaker 1: Don't like I don't know, you'd be like, I don't

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Speaker 1: exactly know what God meant, but don't mix milk and God,

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Speaker 1: don't mix meat and milk in any circumstances. There's a

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Speaker 1: bunch of our stuff. And there's also like God says,

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Speaker 1: don't shave the corners of your face, and so people

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Speaker 1: have trouble have been puzzled by what that means. That's

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Speaker 1: why you'll see observant Jews that have the pays that

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Speaker 1: long because they play it so safe. They're like, not

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Speaker 1: only am I not gonna shave my side burn, I

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Speaker 1: don't really know what he meant, so I'm gonna extend

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Speaker 1: that up into my hairline to make sure I'm playing

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Speaker 1: it safe. We're gonna get a lot of letters of

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Speaker 1: people who don't want to describe. But it's fascinating. It's

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Speaker 1: a great approach. It'd be like, it's a really great

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Speaker 1: approach to be an observant. You'd be like, you take

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Speaker 1: what they said, and you extra don't do it.

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Speaker 2: You know, question for you, is there any loophole or

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Speaker 2: anyone you've ever seen where you know, instead of hunting

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Speaker 2: in a traditional way, they are live trapping animals and

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Speaker 2: you know, preparing the meat and they in the way

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Speaker 2: that you described you.

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Speaker 1: Know, I've never heard of it. I've never heard of

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Speaker 1: any interesting I've never heard. I've never seen. I've never

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Speaker 1: heard of game meat being advertised as cash root. I

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Speaker 1: think when you look at the food labels, I think

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Speaker 1: it's you. Maybe it's a you with a circle around

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Speaker 1: it would tell you that that it's in, that it's

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Speaker 1: prepared in accordance with Old Testament dietary law.

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Speaker 2: I said, know, there's a loophole from a hunting perspective.

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Speaker 1: No, I've never heard of anybody exploiting that loophole. Because

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Speaker 1: then you get into this huge there's a huge element

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Speaker 1: of tradition. For instance, Uh, now, like shark meat would

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Speaker 1: be generally regarded as not kosher, but now researchers like,

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Speaker 1: it's not the way that they think of a scale.

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Speaker 1: Really a shark is scaled, right, So when they look

387
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Speaker 1: at shark skin, right, the anatomy of sharkskin, they're like, arguably,

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Speaker 1: it's just it's it's you know, millions of scales that

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Speaker 1: create that skin field, just the scale different form. That

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Speaker 1: doesn't mean that people that follow Old Testament dietary law

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Speaker 1: rushed out to buy shark meat. And there's like a.

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Speaker 6: Tradition forbidden shark meat. I missed that part of it.

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Speaker 1: What was no scaleless fish.

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Speaker 3: I wish that my kids would take the same approach

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Speaker 3: to uh, listening to my parenting.

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Speaker 1: They're like, I don't want to upset dad, so I'm

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Speaker 1: gonna be extra sayed.

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Speaker 2: Not gonna happen.

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Speaker 1: That'd be great. Yeah, it's like, you know, Dad gets

400
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Speaker 1: mad about the candy, so in fact, I'm cutting out

401
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Speaker 1: some sugars they would traditionally have been okay, I don't

402
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Speaker 1: want to make my dad man. Speaking of kids, there

403
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Speaker 1: to day, I had a long time ago told my

404
00:24:19,040 --> 00:24:20,840
Speaker 1: kids the story of how the Teddy Bear came to be,

405
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Speaker 1: Like how the why Teddy Bears are Teddy Bears? And

406
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Speaker 1: it involves, of course, Teddy Roosevelt opting not to shoot

407
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Speaker 1: a a black bear that a freed slaveh a former

408
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Speaker 1: slave and hunting guide named Holt Collier, had lassoed and

409
00:24:36,160 --> 00:24:39,720
Speaker 1: tied to a tree. Teddy Rose opts not to shoot

410
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Speaker 1: the bear. A weird part of the story that never

411
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Speaker 1: gets told is like they'd killed the bear anyways, he

412
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Speaker 1: didn't kill but they still killed the barracks. It was

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Speaker 1: all messed up. They always leave that out of the

414
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Speaker 1: telling anyways. I was asking my kids, I'm like, hey,

415
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Speaker 1: remember when I told you the story of how the

416
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Speaker 1: Teddy Bear got its name. Tell me that story back.

417
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Speaker 1: And my eight year old is telling me the story back,

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Speaker 1: and he says he doesn't remember the name of whole Collier,

419
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Speaker 1: but he says, and then the hunting guide called Teddy Rosevelt.

420
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Speaker 1: I'm like, he called him place a phone called the

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Speaker 1: Teddy rolls. Uh, here's a so. Here's a study that

422
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Speaker 1: just came out that's interesting. The headline study finds bigfoot

423
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Speaker 1: sightings correlate with black bear populations.

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Speaker 6: Surprise, surprise, that's interesting.

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Speaker 1: I got an email. I'll give you a little more

426
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Speaker 1: than I'll tell you about a thing that they're looking

427
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Speaker 1: at to and I'll prelude it by saying this. A

428
00:25:41,240 --> 00:25:43,560
Speaker 1: guy just wrote. A journalist just wrote in he wanted

429
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Speaker 1: to like quote an article that was at the mediator

430
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Speaker 1: dot com about gunfire and hearing loss. And it's, uh,

431
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Speaker 1: you know how I used to have all these ideas

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Speaker 1: It turned out to be wrong. I thought left wing

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Speaker 1: people were far more likely to be gluten intolerant than

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Speaker 1: right wing people. And I thought left wing people we're

435
00:26:00,280 --> 00:26:02,920
Speaker 1: far more likely to believe in ghosts than right wing people,

436
00:26:03,040 --> 00:26:09,280
Speaker 1: both of which are not true. Right wing people are

437
00:26:09,320 --> 00:26:11,520
Speaker 1: far more likely to suffer hearing or more likely to

438
00:26:11,520 --> 00:26:16,040
Speaker 1: suffer hearing loss. That makes sense, has to be gunfired

439
00:26:16,680 --> 00:26:22,879
Speaker 1: or just running heavy equipment doing harder. Yeah all yeah, rural.

440
00:26:23,320 --> 00:26:25,760
Speaker 1: And it was like there's like a rural overlap within

441
00:26:25,840 --> 00:26:36,200
Speaker 1: that egg equipment, chainsaws, loud ass motorcycles super Yeah. So

442
00:26:36,240 --> 00:26:38,840
Speaker 1: this guy wrote in and he was exploring the gunfire

443
00:26:38,960 --> 00:26:43,800
Speaker 1: aspect of hearing loss among the right. Uh so this article,

444
00:26:43,840 --> 00:26:46,639
Speaker 1: I can't tell where it came from. Ours Technica. What

445
00:26:46,680 --> 00:26:51,440
Speaker 1: the hell's that? ARS Technica? Dude, these guys are wrong.

446
00:26:51,480 --> 00:26:53,600
Speaker 1: What does that mean? ARS Technical?

447
00:26:53,640 --> 00:26:56,320
Speaker 2: I've seen that before. Is a publication.

448
00:26:58,760 --> 00:27:01,520
Speaker 1: We're in Mexico getting right as is kicked? Oh yeah,

449
00:27:01,560 --> 00:27:06,960
Speaker 1: Ours Technica, ARS Technical. I haven't heard of this news

450
00:27:07,000 --> 00:27:09,560
Speaker 1: source anyways, that's the new source. The idea that North

451
00:27:09,560 --> 00:27:12,520
Speaker 1: America is home to completely unknown primate species just doesn't

452
00:27:12,520 --> 00:27:16,920
Speaker 1: seem to go away. Lord, it does not. Years I'm reading,

453
00:27:16,960 --> 00:27:19,960
Speaker 1: years after everyone started walking around with high quality cameras

454
00:27:19,960 --> 00:27:22,520
Speaker 1: in their phones, there still haven't been any clear images

455
00:27:22,600 --> 00:27:25,720
Speaker 1: of a bigfoot. But that hasn't stopped a steady flow

456
00:27:25,800 --> 00:27:28,800
Speaker 1: of reported sightings that, as we've explored in the past,

457
00:27:29,000 --> 00:27:31,600
Speaker 1: I like to goof on bigfoot people, which is, you know,

458
00:27:31,680 --> 00:27:35,919
Speaker 1: easy pickings, low hanging fruit. They have come up with

459
00:27:35,960 --> 00:27:39,159
Speaker 1: this explanation that bigfoot resides in a dimension that can't

460
00:27:39,440 --> 00:27:46,120
Speaker 1: a different dimension not subject to film. Now, someone named

461
00:27:46,200 --> 00:27:50,960
Speaker 1: flow Foxen has followed up on an earlier analysis and

462
00:27:51,080 --> 00:27:53,960
Speaker 1: checked for factors that could influence the frequency of bigfoot

463
00:27:54,000 --> 00:27:57,679
Speaker 1: sightings throughout North America. The results suggest that there's a

464
00:27:57,760 --> 00:28:01,560
Speaker 1: strong correlation between sightings and the local black bear population.

465
00:28:03,240 --> 00:28:06,359
Speaker 1: For every one thousand bears, I'm assuming it's this is

466
00:28:07,680 --> 00:28:11,040
Speaker 1: the frequency of bigfoot sightings goes up by about four percent.

467
00:28:12,280 --> 00:28:16,640
Speaker 1: I'm assuming they mean by unit of space. So here's

468
00:28:16,640 --> 00:28:19,600
Speaker 1: some good stuff. The most recent comprehensive peer reviewed data

469
00:28:19,640 --> 00:28:22,400
Speaker 1: on black bear populations dates from two thousand and six,

470
00:28:23,160 --> 00:28:26,359
Speaker 1: so they're using data from that year. Even so, a

471
00:28:26,440 --> 00:28:33,160
Speaker 1: number of states and provinces had to be excluded. Delaware, Hawaii, Illinois, Indiana, Iowa, Kansas, Nebraska,

472
00:28:33,200 --> 00:28:37,800
Speaker 1: North Dakota, South Dakota had no known black bear populations

473
00:28:37,840 --> 00:28:41,880
Speaker 1: in two thousand and six. There's some other states that

474
00:28:42,720 --> 00:28:48,440
Speaker 1: just didn't have adequate numbers on didn't have adequate numbers

475
00:28:48,440 --> 00:28:52,560
Speaker 1: on black bears, so they went and looked ahead, and

476
00:28:52,600 --> 00:29:00,080
Speaker 1: they found that forested areas where you have a okay,

477
00:29:00,160 --> 00:29:05,080
Speaker 1: it's kind of complicated, a really good job of it. Overall,

478
00:29:05,200 --> 00:29:08,600
Speaker 1: Fox and found that with forested areas and the human

479
00:29:08,680 --> 00:29:13,680
Speaker 1: population taken into account, there's about one bigfoot sighting for

480
00:29:13,840 --> 00:29:18,960
Speaker 1: every five thousand black bears. Each additional one thousand bears

481
00:29:19,040 --> 00:29:22,200
Speaker 1: raises the probability of a sighting by about four percent.

482
00:29:27,440 --> 00:29:29,239
Speaker 1: Then they go on to she's trying to then make

483
00:29:29,320 --> 00:29:30,920
Speaker 1: some sense out of it, and it could be helpful

484
00:29:30,920 --> 00:29:36,320
Speaker 1: for bear con could be helpful for bear conservation. Oh

485
00:29:36,360 --> 00:29:39,160
Speaker 1: my god. You know they try to like this is

486
00:29:39,160 --> 00:29:41,360
Speaker 1: from the Journal of Zoology, you know, only they always

487
00:29:41,360 --> 00:29:43,280
Speaker 1: like like nowadays, if you want to publish anything we've

488
00:29:43,400 --> 00:29:45,920
Speaker 1: talked about this, If you want to publish anything in

489
00:29:45,960 --> 00:29:48,640
Speaker 1: a newspaper about wildlife, you if you link at the

490
00:29:48,680 --> 00:29:52,440
Speaker 1: climate change, it'll be in there, right anything a great

491
00:29:52,480 --> 00:29:54,760
Speaker 1: a polar bear attacks a person climate change.

492
00:29:55,160 --> 00:29:58,160
Speaker 3: I thought that was shot down after we brought that up.

493
00:29:58,440 --> 00:30:00,600
Speaker 3: Then a bunch of people write in say that wasn't it.

494
00:30:00,760 --> 00:30:03,800
Speaker 1: No, that was talking about that was talking about in

495
00:30:03,920 --> 00:30:06,840
Speaker 1: journal entries. But I'm saying that, like, you could take

496
00:30:06,920 --> 00:30:10,240
Speaker 1: any freak wildlife thing, any freak wildlife thing, and you'll

497
00:30:10,280 --> 00:30:13,560
Speaker 1: in the end link it to climate change. So here

498
00:30:13,600 --> 00:30:17,840
Speaker 1: this person is saying. Here, this person is saying this

499
00:30:17,920 --> 00:30:19,760
Speaker 1: is nothing new with climate change. The person is saying

500
00:30:20,320 --> 00:30:23,640
Speaker 1: that this could be great for quote whatever this means

501
00:30:23,720 --> 00:30:29,960
Speaker 1: quote bear conservation, as the frequency of bigfoot sightings may

502
00:30:30,080 --> 00:30:34,280
Speaker 1: provide a proxy measure for the number of black bears

503
00:30:34,320 --> 00:30:39,960
Speaker 1: present and thus could provide an independent method of tracking

504
00:30:40,040 --> 00:30:45,560
Speaker 1: population changes. Or or you just wasted a ton of time.

505
00:30:48,760 --> 00:30:49,600
Speaker 2: More likely.

506
00:30:51,360 --> 00:30:53,400
Speaker 1: They got done and they showed it that they got

507
00:30:53,400 --> 00:30:55,280
Speaker 1: done with their paper, and they showed their friend, and

508
00:30:55,280 --> 00:30:58,280
Speaker 1: their friends said, that's the the stupidest thing I've read

509
00:30:58,880 --> 00:31:05,239
Speaker 1: in years. And then they're like, shit, you're right. This

510
00:31:05,280 --> 00:31:08,360
Speaker 1: could be helpful for bear count. Instead of measuring, Instead

511
00:31:08,360 --> 00:31:14,120
Speaker 1: of having all these stupid biologists out measuring bear populations,

512
00:31:14,400 --> 00:31:17,719
Speaker 1: what we could do instead is will set up a

513
00:31:17,920 --> 00:31:22,720
Speaker 1: Bigfoot hotline, and then we'll take incoming calls to the

514
00:31:22,720 --> 00:31:27,640
Speaker 1: Bigfoot hotline and model them out to find out how

515
00:31:27,680 --> 00:31:30,440
Speaker 1: many bears are on the landscape, and if we see

516
00:31:30,440 --> 00:31:33,920
Speaker 1: a reduction in Bigfoot hotline calls. That wouldn't mean something

517
00:31:33,960 --> 00:31:39,280
Speaker 1: to do with education, drug use, the rise and fall

518
00:31:39,360 --> 00:31:44,120
Speaker 1: of hippie shit. It would be that bear numbers are down.

519
00:31:44,360 --> 00:31:47,800
Speaker 1: So when they set quotas, you'll be like, the bear

520
00:31:47,880 --> 00:31:49,800
Speaker 1: manager will be like, huh, you know what we got.

521
00:31:51,080 --> 00:31:57,120
Speaker 1: Montana's Region three had zero bigfoot sightings this year, no

522
00:31:57,280 --> 00:32:01,200
Speaker 1: tag allocation this year. It seems that the bear are gone.

523
00:32:02,840 --> 00:32:05,800
Speaker 1: The dumbest thing I've ever read. That dumb till the end.

524
00:32:06,000 --> 00:32:09,560
Speaker 3: I have them add in to look at whether there's

525
00:32:09,640 --> 00:32:16,000
Speaker 3: more sightings during a Democratic presidency or Republican presidency.

526
00:32:16,040 --> 00:32:17,840
Speaker 1: That would be good, a good overlay. And the other

527
00:32:17,880 --> 00:32:20,760
Speaker 1: thing is is what about areas that have high black

528
00:32:20,800 --> 00:32:25,320
Speaker 1: bear density in different color phases? Ah?

529
00:32:25,440 --> 00:32:26,640
Speaker 6: Yeah, I could mess it up.

530
00:32:27,040 --> 00:32:28,880
Speaker 1: Here's one. We have a guest that we're working on

531
00:32:28,920 --> 00:32:32,640
Speaker 1: getting a guest on to talk about We're getting a

532
00:32:32,680 --> 00:32:38,320
Speaker 1: guest on to talk about the public land costs, the

533
00:32:38,360 --> 00:32:47,600
Speaker 1: costs of public land with industrial scale utility, utility scale

534
00:32:48,400 --> 00:32:52,960
Speaker 1: wind and solar development. The guest we're working on is

535
00:32:53,280 --> 00:33:01,960
Speaker 1: involved in is involved in offshore wind development, not involved

536
00:33:01,960 --> 00:33:04,480
Speaker 1: in it as a stakeholder, but involved in it as

537
00:33:04,520 --> 00:33:12,280
Speaker 1: a person measuring environmental impact and by I think it's

538
00:33:12,280 --> 00:33:17,520
Speaker 1: by is it twenty? I can't remember what the projection

539
00:33:17,680 --> 00:33:20,320
Speaker 1: is since the camemera of the projection. I don't want

540
00:33:20,320 --> 00:33:21,960
Speaker 1: to say it. We don't have great internet where we're

541
00:33:22,000 --> 00:33:27,240
Speaker 1: at in Mexico right now. Tens of thousands of offshore

542
00:33:27,880 --> 00:33:32,160
Speaker 1: tens of thousands of offshore wind units along the east

543
00:33:32,160 --> 00:33:34,640
Speaker 1: of the lawn the Atlantic shoreline by twenty fifty or

544
00:33:34,640 --> 00:33:37,600
Speaker 1: whatever the hell is, six thousand by twenty thirty. Right,

545
00:33:37,680 --> 00:33:43,120
Speaker 1: So a couple things. What does that mean for all

546
00:33:43,160 --> 00:33:47,240
Speaker 1: that increased disturbance around construction? But also what does it

547
00:33:47,240 --> 00:33:50,080
Speaker 1: mean for fish habitat? And a great parallel is you'd

548
00:33:50,160 --> 00:33:55,520
Speaker 1: go and look at what oil development in the golf

549
00:33:56,560 --> 00:33:59,360
Speaker 1: of Mexico wound up doing for the fishery. I mean,

550
00:33:59,400 --> 00:34:03,720
Speaker 1: it creates a fishery right like department. It's sort of

551
00:34:03,720 --> 00:34:09,920
Speaker 1: the the Department of Unforeseen Consequences. Is Uh, there was

552
00:34:10,040 --> 00:34:14,080
Speaker 1: all that disturbance, all that development, no doubt, all kinds

553
00:34:14,120 --> 00:34:17,080
Speaker 1: of you know, probably very negative impact on bivalves and

554
00:34:17,120 --> 00:34:20,920
Speaker 1: all this other stuff, but in certain with certain reef fish,

555
00:34:20,960 --> 00:34:25,040
Speaker 1: it caused us long term explosion in reefish populations. So

556
00:34:25,080 --> 00:34:27,280
Speaker 1: we're gonna have a guest on to talk about offshore

557
00:34:27,480 --> 00:34:29,880
Speaker 1: wind and what offshore wind looks like and what are

558
00:34:29,880 --> 00:34:35,400
Speaker 1: you getting out of it, short term impacts, long term impacts,

559
00:34:35,680 --> 00:34:38,279
Speaker 1: what fish hate it, what fish will love it, and

560
00:34:38,320 --> 00:34:39,840
Speaker 1: sort of what your future is going to look like

561
00:34:39,920 --> 00:34:44,040
Speaker 1: as we develop offshore wind. But this is a plan.

562
00:34:44,719 --> 00:34:47,480
Speaker 1: This is is widely reported, but we're looking at Montana

563
00:34:47,520 --> 00:34:50,719
Speaker 1: Free Press here about the BLM unveiling a plan for

564
00:34:50,880 --> 00:34:56,160
Speaker 1: utility scale solar developments in Western states on your public lands.

565
00:34:58,480 --> 00:35:02,360
Speaker 1: We're going to dive into that in greater detail later,

566
00:35:02,560 --> 00:35:07,360
Speaker 1: but we're talking about massive amounts of land, Massive amounts

567
00:35:07,400 --> 00:35:17,520
Speaker 1: of land that you currently hunt could potentially be could

568
00:35:17,560 --> 00:35:24,200
Speaker 1: potentially be developed. So if the BLM selects, there's this

569
00:35:24,239 --> 00:35:30,600
Speaker 1: thing different alternatives. One of these alternatives eight million acres

570
00:35:30,600 --> 00:35:32,880
Speaker 1: of So this let's focus on Montana from it. Just

571
00:35:32,920 --> 00:35:34,719
Speaker 1: we're looking at a Montana free Press. But this is

572
00:35:34,719 --> 00:35:36,720
Speaker 1: why it spread across the west. But just an example

573
00:35:36,760 --> 00:35:42,680
Speaker 1: in Montana. Out of eight million acres of BLM managed

574
00:35:42,760 --> 00:35:49,160
Speaker 1: land in Montana, two hundred and ten thousand acres could

575
00:35:49,160 --> 00:35:56,080
Speaker 1: become available for solar developments. Most of that stuff deemed

576
00:35:56,200 --> 00:36:00,640
Speaker 1: suitable for solar development sits north of what's called the

577
00:36:00,719 --> 00:36:05,800
Speaker 1: high Line. So if you if you look at the

578
00:36:05,880 --> 00:36:10,919
Speaker 1: high Line generally, it's like the string of towns North

579
00:36:11,000 --> 00:36:14,040
Speaker 1: Highway too. So Highway to the high Line used to

580
00:36:14,080 --> 00:36:18,600
Speaker 1: be a railroad line, but two runs. So you had

581
00:36:18,680 --> 00:36:25,160
Speaker 1: the what's the one what's the main rail line, the

582
00:36:25,280 --> 00:36:27,520
Speaker 1: high ninety rail like the ninety ninety four rail line,

583
00:36:27,560 --> 00:36:32,120
Speaker 1: what's it called Northern Pacific? The Northern Pacific bisects the

584
00:36:32,120 --> 00:36:34,719
Speaker 1: state east to west. And then you had the high Line,

585
00:36:34,719 --> 00:36:37,120
Speaker 1: which is another rail line in the north, and eventually

586
00:36:37,200 --> 00:36:40,799
Speaker 1: Highway to followed that. So they're saying that of that

587
00:36:41,040 --> 00:36:44,000
Speaker 1: the BLM could develop two hundred and ten thousand acres

588
00:36:44,040 --> 00:36:51,520
Speaker 1: for putting solar developments on that land. There's a bunch

589
00:36:51,520 --> 00:36:53,560
Speaker 1: of land that's out of the question because it's too

590
00:36:53,600 --> 00:37:01,480
Speaker 1: far from high voltage transmission lines. And then the seven

591
00:37:01,520 --> 00:37:05,920
Speaker 1: point three million acres, okay, have been deemed ill suited.

592
00:37:06,080 --> 00:37:09,480
Speaker 1: This is just a one state, mind you, So the

593
00:37:09,560 --> 00:37:13,120
Speaker 1: vast majority seven point three million acres ill suited for

594
00:37:13,280 --> 00:37:23,880
Speaker 1: reasons ecological reasons, historical reasons, cultural and reasons recreational. My

595
00:37:24,000 --> 00:37:28,319
Speaker 1: fear with all this, my fear with all this is uh,

596
00:37:29,200 --> 00:37:30,799
Speaker 1: and we're gonna we're gonna get into this with a

597
00:37:31,120 --> 00:37:35,280
Speaker 1: with a with a specialized guest who again focuses on offshore.

598
00:37:36,239 --> 00:37:38,359
Speaker 1: My fear with all this is that we do this

599
00:37:39,320 --> 00:37:41,520
Speaker 1: wind and solar development and if you go look like

600
00:37:41,600 --> 00:37:43,400
Speaker 1: you ever seen that map, if you're going to power

601
00:37:43,440 --> 00:37:46,640
Speaker 1: Great Britain with current wind and solar technologies, what the

602
00:37:46,640 --> 00:37:48,560
Speaker 1: hell was it? Seventy you have to cover seventy four

603
00:37:48,600 --> 00:37:52,960
Speaker 1: percent of it with wind and solar. I can't remember what.

604
00:37:53,760 --> 00:37:55,080
Speaker 1: I might be a little bit off, but if you're

605
00:37:55,080 --> 00:37:58,239
Speaker 1: gonna do that Great Britain, you'd have to cover I

606
00:37:58,239 --> 00:37:59,960
Speaker 1: think I don't know what the hell is seventy four

607
00:38:00,080 --> 00:38:02,719
Speaker 1: Then of available of non developed lands would need to

608
00:38:02,760 --> 00:38:06,040
Speaker 1: be converted with current technology. My fear is that we

609
00:38:06,120 --> 00:38:11,640
Speaker 1: go through with this kind of stuff, but it's not

610
00:38:11,680 --> 00:38:14,560
Speaker 1: a local problem. It's a global issue. We go through

611
00:38:14,560 --> 00:38:23,520
Speaker 1: with this, and then China, India, right these parts of

612
00:38:23,520 --> 00:38:28,120
Speaker 1: the world also Africa or population is growing right in places,

613
00:38:28,160 --> 00:38:32,000
Speaker 1: it's growing exponentially over time. That we go through with

614
00:38:32,120 --> 00:38:37,800
Speaker 1: this and we trash, we trash our like our remaining

615
00:38:37,840 --> 00:38:43,200
Speaker 1: bits of undeveloped lands globally, we don't see any kind

616
00:38:43,239 --> 00:38:46,400
Speaker 1: of transition. And then down the road you see that

617
00:38:46,960 --> 00:38:52,600
Speaker 1: temperature gradually increases, and we'd be like, well shit, if

618
00:38:52,640 --> 00:38:58,719
Speaker 1: we hadn't done any of that, it made no difference.

619
00:38:59,480 --> 00:39:03,640
Speaker 1: And now as we try to create landscape wide room

620
00:39:03,800 --> 00:39:08,840
Speaker 1: four species two develop and adapt and colonize new areas

621
00:39:08,880 --> 00:39:11,920
Speaker 1: and change their habits in accordance with warmer weather that

622
00:39:12,000 --> 00:39:16,640
Speaker 1: we've trashed those landscapes, and globally this idea never caught

623
00:39:16,680 --> 00:39:19,400
Speaker 1: on and it made it was a drop in the bucket,

624
00:39:19,640 --> 00:39:21,839
Speaker 1: made zero difference. And all we've come out of it

625
00:39:21,880 --> 00:39:24,680
Speaker 1: with is we've developed the areas that we're going to

626
00:39:24,760 --> 00:39:27,600
Speaker 1: need for resiliency no matter what the hell happens in

627
00:39:27,640 --> 00:39:30,520
Speaker 1: the future. Meaning let's say the temperature is going to

628
00:39:30,560 --> 00:39:33,920
Speaker 1: climb two degrees, three degrees, four degrees. Wildlife still needs

629
00:39:33,960 --> 00:39:36,239
Speaker 1: a place to be. And if you're not going to

630
00:39:36,280 --> 00:39:40,319
Speaker 1: prevent it from happening, you you need to hedge your

631
00:39:40,320 --> 00:39:46,280
Speaker 1: bets by having big, intact ecosystems, right like create room

632
00:39:46,440 --> 00:39:49,400
Speaker 1: for wildlife to find a way forward. But if you

633
00:39:49,480 --> 00:39:52,799
Speaker 1: destroy all your wildlife habitat trying to curb a thing

634
00:39:52,840 --> 00:39:56,080
Speaker 1: that you can't curb because one it's more complicated than

635
00:39:56,080 --> 00:39:58,880
Speaker 1: we think it is, or two it would take a

636
00:39:58,920 --> 00:40:01,839
Speaker 1: global effort that that there's not enough will power there

637
00:40:02,040 --> 00:40:04,200
Speaker 1: in the developing world to follow through with that, we

638
00:40:04,280 --> 00:40:08,040
Speaker 1: just screw ourselves and nothing changes. Anyways, I'll hand it over.

639
00:40:08,120 --> 00:40:08,400
Speaker 1: Have you.

640
00:40:08,640 --> 00:40:10,680
Speaker 7: Have you heard Elon talk about what we would need

641
00:40:10,719 --> 00:40:13,279
Speaker 7: for a solar grid to power the entire US, like

642
00:40:14,000 --> 00:40:15,880
Speaker 7: per our current power usage.

643
00:40:16,040 --> 00:40:16,520
Speaker 1: No I haven't.

644
00:40:16,680 --> 00:40:18,279
Speaker 7: He said, one hundred and one square miles, and your

645
00:40:18,320 --> 00:40:20,839
Speaker 7: batteries would have to take up one square mile, so

646
00:40:20,880 --> 00:40:23,360
Speaker 7: like I imagine, and not to put it off onto Mexico Arizona.

647
00:40:23,400 --> 00:40:26,759
Speaker 7: But you find like a ten by ten like, dedicate that,

648
00:40:26,800 --> 00:40:28,440
Speaker 7: and then you just put your hundred square miles the

649
00:40:28,440 --> 00:40:31,200
Speaker 7: solar panels out there, and you're done with this whole mess.

650
00:40:31,239 --> 00:40:34,160
Speaker 1: No more. One hundred square miles would do what would

651
00:40:34,200 --> 00:40:36,680
Speaker 1: power the entire US grid right now as is, and

652
00:40:36,719 --> 00:40:39,160
Speaker 1: you would need batteries that hold a one square mile,

653
00:40:41,360 --> 00:40:45,160
Speaker 1: so literally ten miles. He's smarter at this battery stuff

654
00:40:45,160 --> 00:40:46,520
Speaker 1: for me. I remember him saying, I just looked it

655
00:40:46,600 --> 00:40:50,040
Speaker 1: uple oh, one continuous panel.

656
00:40:50,680 --> 00:40:53,719
Speaker 7: Just yeah, whatever current technology, you put whatever you need

657
00:40:53,760 --> 00:40:56,640
Speaker 7: to on that hundred and one square miles and then

658
00:40:56,719 --> 00:40:59,200
Speaker 7: you feed all these batteries that need their an entire

659
00:40:59,239 --> 00:41:02,799
Speaker 7: square mile and uh bam, you don't have any more

660
00:41:02,800 --> 00:41:04,640
Speaker 7: of these windmills, you don't have any more of this

661
00:41:04,719 --> 00:41:07,520
Speaker 7: offshore stuff. It's like not saying that we need to

662
00:41:07,520 --> 00:41:09,160
Speaker 7: do it to New Mexico, Arizona, but I'm like, man,

663
00:41:09,160 --> 00:41:10,000
Speaker 7: there's a lot.

664
00:41:09,760 --> 00:41:14,880
Speaker 3: Of Steve just said though, is that from what he's reading,

665
00:41:14,920 --> 00:41:17,279
Speaker 3: it's going to take seventy percent of the land mass

666
00:41:17,360 --> 00:41:20,640
Speaker 3: to pull it off, not one hundred Great Britain.

667
00:41:20,800 --> 00:41:22,359
Speaker 7: So I wish I could pull up See that's where

668
00:41:22,360 --> 00:41:24,759
Speaker 7: I think we're so expanded, you know. And and I

669
00:41:24,760 --> 00:41:27,359
Speaker 7: don't know. I ask your expert.

670
00:41:27,120 --> 00:41:29,759
Speaker 1: That Matt pull up that stat You probably get it

671
00:41:29,840 --> 00:41:31,000
Speaker 1: searched up stuff on the internet.

672
00:41:31,640 --> 00:41:32,160
Speaker 2: We take a look.

673
00:41:32,200 --> 00:41:34,000
Speaker 1: I'm one of the best, you know. I don't have

674
00:41:34,040 --> 00:41:35,040
Speaker 1: a good SI. You know.

675
00:41:35,120 --> 00:41:40,279
Speaker 2: My concern is like the idea of putting solar in

676
00:41:40,400 --> 00:41:45,920
Speaker 2: these public spaces is kind of more lubricated than putting

677
00:41:46,160 --> 00:41:48,719
Speaker 2: drilling or oil, like I mean, and it could have

678
00:41:48,800 --> 00:41:50,080
Speaker 2: as bad of an effect on.

679
00:41:50,880 --> 00:41:53,040
Speaker 1: Public by you know, there's good will or people feel

680
00:41:53,040 --> 00:41:53,719
Speaker 1: like they're doing a good thing.

681
00:41:53,880 --> 00:41:57,040
Speaker 2: Sixty Minutes had a couple of weeks ago had a

682
00:41:57,080 --> 00:41:59,680
Speaker 2: feature on it, and it was a good will story

683
00:41:59,840 --> 00:42:02,399
Speaker 2: and it showed standing up looking at a public land

684
00:42:02,440 --> 00:42:05,960
Speaker 2: where this massive solar field would go. And in my mind,

685
00:42:06,280 --> 00:42:09,800
Speaker 2: you know, people are very concerned about, you know, natural

686
00:42:09,840 --> 00:42:12,600
Speaker 2: gas and oil drilling for migration. Why would they not

687
00:42:12,640 --> 00:42:14,520
Speaker 2: be concerned about the same thing.

688
00:42:14,560 --> 00:42:17,319
Speaker 1: Because the odds it puts them, It makes this, it

689
00:42:17,360 --> 00:42:20,800
Speaker 1: puts you at odds with yourself. That's exactly because you're like,

690
00:42:20,840 --> 00:42:24,640
Speaker 1: you're a habitat you believe in habitat conservation, and many

691
00:42:24,640 --> 00:42:27,360
Speaker 1: people who are very concerned about habitat conservation, there's a

692
00:42:27,400 --> 00:42:31,000
Speaker 1: crossover are very concerned about energy. And so you kind

693
00:42:31,000 --> 00:42:36,160
Speaker 1: of go like, okay, buddy, I get it. You're a

694
00:42:36,160 --> 00:42:38,919
Speaker 1: big environmentalist. You think we should be moving away from

695
00:42:38,920 --> 00:42:42,040
Speaker 1: fossil fuels. How about we go over to your little spot,

696
00:42:42,440 --> 00:42:46,720
Speaker 1: your little honey hole and develop that for alternative energy.

697
00:42:47,000 --> 00:42:49,120
Speaker 1: And then you got to be like, yeah, I better

698
00:42:49,160 --> 00:42:50,920
Speaker 1: stay consistent and say that it's okay.

699
00:42:51,200 --> 00:42:54,080
Speaker 2: This story, you know, was meant to create like we

700
00:42:54,239 --> 00:42:58,400
Speaker 2: found an exciting alternative, but it's putting solar fields in

701
00:42:58,480 --> 00:43:02,160
Speaker 2: places that everyone is very concerned about, you know, from

702
00:43:02,160 --> 00:43:05,880
Speaker 2: an energy perspective, you know, disrupting migration corridors, et cetera.

703
00:43:06,000 --> 00:43:06,719
Speaker 2: That kind of thing.

704
00:43:06,920 --> 00:43:11,120
Speaker 1: I would argue that we use eminent domain. In eminent domain,

705
00:43:11,280 --> 00:43:17,600
Speaker 1: large tracts of urban area, uh sees, large tracks of

706
00:43:17,719 --> 00:43:22,400
Speaker 1: currently developed urban area, and sports of stadiums for starters,

707
00:43:23,360 --> 00:43:29,800
Speaker 1: and convert those into places. I'd advocate no more sports stadiums.

708
00:43:30,640 --> 00:43:38,240
Speaker 2: You know what industrial warehouses, that's become a new strateergy.

709
00:43:38,560 --> 00:43:41,600
Speaker 2: There's massive spaces on top of Amazon warehouse.

710
00:43:41,680 --> 00:43:44,560
Speaker 1: Yeah, why are we not capping cities and why are

711
00:43:44,560 --> 00:43:48,560
Speaker 1: we talking about doing it on Why are we talking

712
00:43:48,560 --> 00:43:51,799
Speaker 1: about doing it on undeveloped landscapes. There has to be

713
00:43:51,840 --> 00:43:53,880
Speaker 1: a way. And I'll say what I really think we

714
00:43:53,920 --> 00:43:55,640
Speaker 1: ought to be doing what I really like. I'm a

715
00:43:55,680 --> 00:44:01,160
Speaker 1: big at, I'm a big nuclear advocate. People like, it's risky,

716
00:44:01,239 --> 00:44:08,480
Speaker 1: it's all risky. Developing on developing undeveloped lands is risky.

717
00:44:08,640 --> 00:44:09,400
Speaker 1: It's all risky.

718
00:44:10,600 --> 00:44:13,200
Speaker 3: Just remember if you take away all those sports stadiums,

719
00:44:13,920 --> 00:44:16,759
Speaker 3: all those people that love sports and pay attention to

720
00:44:16,800 --> 00:44:19,520
Speaker 3: that and are not hunting and fishing.

721
00:44:20,320 --> 00:44:25,560
Speaker 1: I was just joking about sports. That's why. That's why

722
00:44:25,600 --> 00:44:28,279
Speaker 1: I'm like with ski hills. With ski hills, I'm like,

723
00:44:28,280 --> 00:44:30,040
Speaker 1: I'm down. You know, I don't like I hate none.

724
00:44:30,120 --> 00:44:32,920
Speaker 1: I hate more than me trying to turn left and

725
00:44:32,960 --> 00:44:35,759
Speaker 1: I can't because everybody's going to the ski hill. Makes

726
00:44:35,800 --> 00:44:40,560
Speaker 1: me want to just kill them all. My my neighbor,

727
00:44:40,719 --> 00:44:44,320
Speaker 1: my good buddy, you know, Pottery Pat. He's on the

728
00:44:44,840 --> 00:44:47,279
Speaker 1: ski hill now. No. No, if I'm trying to turn left

729
00:44:47,280 --> 00:44:51,560
Speaker 1: on a good powder day, I'll call him. I'm like, man,

730
00:44:51,560 --> 00:44:54,480
Speaker 1: I got real problem, Pat, and only you're on the

731
00:44:54,520 --> 00:44:56,080
Speaker 1: board of the ski hill. I can't go left out

732
00:44:56,080 --> 00:45:02,200
Speaker 1: of my driveway. You need to figure this out. Uh,

733
00:45:03,080 --> 00:45:11,759
Speaker 1: here's another, here's another sticky one. Man. So the king

734
00:45:11,880 --> 00:45:22,240
Speaker 1: salmon is headed toward a This is gonna get litigated,

735
00:45:22,280 --> 00:45:26,960
Speaker 1: like holy hell, the King salmon of the Gulf of

736
00:45:26,960 --> 00:45:37,920
Speaker 1: Alaska is headed for an ESA listings. So the Wildfish

737
00:45:37,920 --> 00:45:41,360
Speaker 1: Conservancy is doubling down on its attempts. This is a

738
00:45:42,800 --> 00:45:51,239
Speaker 1: This is a press release from Salmon State. This is

739
00:45:51,239 --> 00:45:57,440
Speaker 1: a press release from Salmon State out of Alaska. The

740
00:45:57,440 --> 00:46:00,720
Speaker 1: Wildfish Conservancy is doubling down on its attempt to shut

741
00:46:00,840 --> 00:46:04,200
Speaker 1: down fishing in Alaska without consulting with or speaking to

742
00:46:04,239 --> 00:46:06,480
Speaker 1: the people they're sledge hammering. You can tell this comes

743
00:46:06,520 --> 00:46:13,200
Speaker 1: from the perspective of salmon states trying to protect salmon fisheries. Basically,

744
00:46:13,920 --> 00:46:17,359
Speaker 1: in the big fight over, you know, which turns into

745
00:46:17,440 --> 00:46:20,880
Speaker 1: a never ending blame game about who's the blame for salmon.

746
00:46:24,719 --> 00:46:31,040
Speaker 1: They're they're looking now to shut down even there's been

747
00:46:31,200 --> 00:46:34,280
Speaker 1: some shut some shutting down already occur, even of troll fishing,

748
00:46:34,440 --> 00:46:38,200
Speaker 1: troll fishing for sam, which is like a highly selective

749
00:46:39,120 --> 00:46:46,280
Speaker 1: salmon fishing deal, a hook and line fishery. So this organization,

750
00:46:46,400 --> 00:46:52,280
Speaker 1: Salmon State, is trying to not only protect wild salmon,

751
00:46:52,320 --> 00:46:55,799
Speaker 1: protect people whose lives are interconnected with them, and they

752
00:46:55,800 --> 00:47:01,319
Speaker 1: are uh fighting somebody salmon closures. But things just do

753
00:47:01,400 --> 00:47:03,600
Speaker 1: not look It's it's one of those deals, like what

754
00:47:04,040 --> 00:47:06,880
Speaker 1: it's like looking at quail in the southeast trying to

755
00:47:06,880 --> 00:47:10,360
Speaker 1: get other things quail in the southeast, deer on this

756
00:47:10,480 --> 00:47:17,680
Speaker 1: place we're in right now, king salmon, and you're like,

757
00:47:18,000 --> 00:47:21,879
Speaker 1: you're looking like what happened, and it's too you can't

758
00:47:21,920 --> 00:47:24,400
Speaker 1: say what happened. It's too many things to say what happened.

759
00:47:24,400 --> 00:47:33,759
Speaker 1: But just king salmon are just hurting. They're hurting the

760
00:47:34,000 --> 00:47:36,600
Speaker 1: weird of course they're hurting in the Columbia water shed

761
00:47:36,640 --> 00:47:39,040
Speaker 1: where you have all these dams. Okay, so you're looking like, well,

762
00:47:39,080 --> 00:47:41,680
Speaker 1: obviously it's all the dams. But why are king salmon

763
00:47:41,760 --> 00:47:47,600
Speaker 1: numbers down in non damned areas?

764
00:47:47,640 --> 00:47:48,680
Speaker 3: Microplastics?

765
00:47:49,280 --> 00:47:49,880
Speaker 2: Same reason?

766
00:47:50,320 --> 00:47:52,879
Speaker 1: Why gah? But why aren't coho down? And why aren't

767
00:47:52,920 --> 00:47:58,160
Speaker 1: pinks down? It's it's a really complicated it's really complicated.

768
00:47:59,040 --> 00:48:02,879
Speaker 1: You can't there's anything that you bring up. We've had

769
00:48:02,960 --> 00:48:05,000
Speaker 1: someone on who knows this world really well. That's been

770
00:48:05,040 --> 00:48:07,759
Speaker 1: a couple of years. Anything you bring up you're like, yeah,

771
00:48:07,760 --> 00:48:11,960
Speaker 1: it must be this, like okay, but but then what

772
00:48:12,040 --> 00:48:15,600
Speaker 1: about this? Sure like it must be this? Okay? Why

773
00:48:15,640 --> 00:48:18,520
Speaker 1: are pink numbers good? Why are we seeing great returns

774
00:48:18,520 --> 00:48:21,040
Speaker 1: on other salmon species? Like? What is it with kings?

775
00:48:22,600 --> 00:48:25,720
Speaker 1: It's a different fish they spend you know, they'll spend

776
00:48:25,880 --> 00:48:30,320
Speaker 1: more time in the oceans. A lot of this movement

777
00:48:30,400 --> 00:48:35,160
Speaker 1: now about a lot of this A way that people

778
00:48:35,200 --> 00:48:37,040
Speaker 1: are trying to get these fish that they're trying to

779
00:48:37,040 --> 00:48:39,919
Speaker 1: get fisheries shut down is when you yawn to pull

780
00:48:39,920 --> 00:48:43,319
Speaker 1: on America's heart strings. There's one animal that's definitely gonna

781
00:48:43,360 --> 00:48:51,080
Speaker 1: do the job. That's Willie the orca yep, which I

782
00:48:51,120 --> 00:48:52,080
Speaker 1: still call killer whale.

783
00:48:53,280 --> 00:48:55,360
Speaker 4: What does your brother Danny have anything to say about that?

784
00:48:55,400 --> 00:48:56,920
Speaker 1: It's got lots to say about. It's one of the

785
00:48:56,960 --> 00:49:01,640
Speaker 1: primary things he works on. Yeah, what does he what

786
00:49:01,680 --> 00:49:06,200
Speaker 1: does he think death by a thousand cuts gotchas by

787
00:49:06,200 --> 00:49:11,560
Speaker 1: a thousand cuts? Uh? Warming water definitely does not help.

788
00:49:15,040 --> 00:49:20,760
Speaker 1: Just depletion of fisheries does not help, you know, low

789
00:49:21,200 --> 00:49:25,279
Speaker 1: harring numbers and areas doesn't help. Dams certainly, you know,

790
00:49:25,520 --> 00:49:28,160
Speaker 1: certainly don't help. Even areas outside of dams though, just

791
00:49:28,239 --> 00:49:31,200
Speaker 1: death by a thousand cuts some level of mystery. We

792
00:49:31,200 --> 00:49:32,840
Speaker 1: should have someone back on to talk about it in

793
00:49:32,880 --> 00:49:33,600
Speaker 1: greater detail.

794
00:49:34,400 --> 00:49:37,799
Speaker 2: Are you saying that the orca, you know, if their

795
00:49:37,800 --> 00:49:41,200
Speaker 2: start being affected by let you know, less food source. Yeah,

796
00:49:41,280 --> 00:49:44,440
Speaker 2: you know that happened with obviously with whale watching in

797
00:49:44,480 --> 00:49:47,600
Speaker 2: the East with Manhaden. You know, all of a sudden

798
00:49:48,000 --> 00:49:52,400
Speaker 2: that got elevated because the whale watching crowd you know,

799
00:49:52,680 --> 00:49:53,920
Speaker 2: was having a different experience.

800
00:49:54,600 --> 00:49:57,879
Speaker 1: Less people are like, I was fine to watch king

801
00:49:58,000 --> 00:50:00,120
Speaker 1: salmon blink out, but to hear the the orc it

802
00:50:00,200 --> 00:50:02,279
Speaker 1: is hungry. That's just I put. That's where I draw.

803
00:50:05,200 --> 00:50:06,600
Speaker 1: That's where I draw a line in the sand.

804
00:50:06,680 --> 00:50:09,080
Speaker 2: No one cares about small bait fish until the whales

805
00:50:09,080 --> 00:50:10,480
Speaker 2: aren't rolling and you're seeing them.

806
00:50:10,640 --> 00:50:12,520
Speaker 1: Yeah, and then people are like this is this is

807
00:50:12,560 --> 00:50:14,040
Speaker 1: this cannot this will not stand.

808
00:50:14,120 --> 00:50:16,000
Speaker 2: This will not stand, you know, and so.

809
00:50:16,000 --> 00:50:21,279
Speaker 1: You got to do that. But uh, I don't know.

810
00:50:22,040 --> 00:50:24,440
Speaker 1: And well we'll have to get someone back on and

811
00:50:24,520 --> 00:50:26,480
Speaker 1: I know people to get back on and talk about salmon.

812
00:50:26,520 --> 00:50:32,080
Speaker 1: But when you look at like the overall population and

813
00:50:32,120 --> 00:50:34,839
Speaker 1: the mortality that comes from the troll fishery, it's just

814
00:50:34,880 --> 00:50:38,600
Speaker 1: such a drop. It's like a symbolic gesture. It's a

815
00:50:38,640 --> 00:50:42,200
Speaker 1: symbolic gesture that you're gonna end the troll fishery in

816
00:50:42,280 --> 00:50:44,880
Speaker 1: Southeast Alaska and the Gulf of Alaska. You're gonna end

817
00:50:44,880 --> 00:50:47,560
Speaker 1: the troll fishery and also be like they're back. But

818
00:50:48,120 --> 00:50:49,719
Speaker 1: you know what I mean, it's just not gonna It

819
00:50:49,719 --> 00:51:01,160
Speaker 1: ain't gonna be the thing that does. Here's another one

820
00:51:01,160 --> 00:51:03,280
Speaker 1: that really hits me and Yanni right in the nuts.

821
00:51:03,760 --> 00:51:09,400
Speaker 1: You're ready for this, Johnny, I hope so. Uh A

822
00:51:09,520 --> 00:51:15,480
Speaker 1: listing for Wisconsin Sturgeon ah Center for our our old

823
00:51:15,520 --> 00:51:18,839
Speaker 1: friends at the Center for Biological Diversity. This is one

824
00:51:18,840 --> 00:51:24,000
Speaker 1: of those organizations that's like, you know, humane Society people

825
00:51:24,000 --> 00:51:26,640
Speaker 1: think when they think of Humane hs US, when people

826
00:51:26,680 --> 00:51:29,879
Speaker 1: think of the Humane Society United States hs US, they

827
00:51:29,880 --> 00:51:33,000
Speaker 1: think they're helping puppies that don't have a home. They

828
00:51:33,000 --> 00:51:36,240
Speaker 1: don't realize that they're that it's a it's an anti

829
00:51:36,360 --> 00:51:40,600
Speaker 1: hunting animal rights organization, and they confuse Humane Society Local

830
00:51:40,719 --> 00:51:48,360
Speaker 1: Humane Society shelters with hs US activities. Hs US is

831
00:51:48,400 --> 00:51:54,120
Speaker 1: an anti hunting organization that masquerades as like rescue puppies.

832
00:51:55,440 --> 00:52:00,200
Speaker 1: Uh Center for Biological Diversity is in large measure, and

833
00:52:00,760 --> 00:52:05,120
Speaker 1: I mean they're just reflexibly anti hunting and fishing. So

834
00:52:05,160 --> 00:52:09,759
Speaker 1: the Center for Biological Diversity is petitioning to have Lake

835
00:52:09,800 --> 00:52:14,960
Speaker 1: sturgeon federally listed and subsequently removed the right to fish

836
00:52:14,960 --> 00:52:19,600
Speaker 1: and spear lake sturgeon. Now, the problem with this is

837
00:52:19,640 --> 00:52:24,360
Speaker 1: people say that people would go and even sturgeon managers

838
00:52:24,520 --> 00:52:28,120
Speaker 1: in Wisconsin are saying, you're taking a sledgehammer approach to

839
00:52:28,200 --> 00:52:34,040
Speaker 1: something that needs to be more surgical. The Lake Winnebago

840
00:52:34,080 --> 00:52:37,799
Speaker 1: sturgeon population should be used as an example of proper conservation.

841
00:52:37,880 --> 00:52:41,680
Speaker 1: This is coming from a listener named Taylor. Taylor and

842
00:52:41,760 --> 00:52:45,960
Speaker 1: Aaron wrote in the Lake Winnebago sturgeon population should be

843
00:52:45,960 --> 00:52:50,319
Speaker 1: taken as an example of proper conservation. While it is

844
00:52:50,400 --> 00:52:54,319
Speaker 1: understandable that certain sturgeon populations across the nation are low.

845
00:52:55,600 --> 00:52:58,480
Speaker 1: The decision on regulations, hunting season, and protection should be

846
00:52:58,560 --> 00:53:00,760
Speaker 1: left up to state and local entity ties to protect

847
00:53:00,800 --> 00:53:06,320
Speaker 1: state and local resources. The Lake Winnebago sturgeon is thriving.

848
00:53:07,520 --> 00:53:11,120
Speaker 1: This is backed up by countless annual surveys tracking exact

849
00:53:11,160 --> 00:53:16,080
Speaker 1: harvest of individuals, safe harvest caps generated using population models,

850
00:53:16,680 --> 00:53:22,120
Speaker 1: and enormous amounts of research data collection. The Winnebago System

851
00:53:22,200 --> 00:53:25,320
Speaker 1: lake sturgeon population is the most well studied lake sturgeon

852
00:53:25,360 --> 00:53:29,680
Speaker 1: population in the US. It was near extinction in the

853
00:53:29,719 --> 00:53:33,520
Speaker 1: early nineteen hundreds from over harvest at a time when

854
00:53:33,560 --> 00:53:39,080
Speaker 1: conservation was non existent. Through diligent management and legislative action

855
00:53:40,040 --> 00:53:44,520
Speaker 1: that enabled money raised through spearing, license sales, and donations

856
00:53:44,560 --> 00:53:48,320
Speaker 1: to be directed only to sturgeon research and habitat improvement,

857
00:53:48,920 --> 00:53:52,160
Speaker 1: the population grew to what it is today. It is

858
00:53:52,239 --> 00:53:55,960
Speaker 1: spearing and angling that directly resulted in the recovery of

859
00:53:56,080 --> 00:54:02,600
Speaker 1: the Lake Winnebago sturgeon. They go on to say that

860
00:54:02,680 --> 00:54:03,719
Speaker 1: Yanni's even been there.

861
00:54:08,320 --> 00:54:12,000
Speaker 3: Sounds like that whole North American model work.

862
00:54:12,040 --> 00:54:15,360
Speaker 6: It does. Yeah, I've had limited experience with that. I

863
00:54:15,440 --> 00:54:18,000
Speaker 6: follow the you know, you'll see postings of these big

864
00:54:18,040 --> 00:54:20,520
Speaker 6: sturgeon that that guys will take and I think that

865
00:54:20,680 --> 00:54:24,359
Speaker 6: probably generates a lot of you know activity within that

866
00:54:24,560 --> 00:54:26,919
Speaker 6: crowd that Steve was talking about, you know, these sort

867
00:54:26,960 --> 00:54:30,200
Speaker 6: of big dramatic fish dead. But it seems like that's.

868
00:54:30,120 --> 00:54:32,960
Speaker 3: Oh yeah, especially when you stake a big old seventh

869
00:54:33,520 --> 00:54:34,240
Speaker 3: spear thrower.

870
00:54:34,360 --> 00:54:37,480
Speaker 6: Yeah. But my impression that it's always been that's a

871
00:54:37,600 --> 00:54:39,719
Speaker 6: very you know, much in agreement with the letter that

872
00:54:39,760 --> 00:54:43,399
Speaker 6: you got there. That's a very tightly managed another there.

873
00:54:43,560 --> 00:54:46,320
Speaker 1: Yeah. Another guy wrote in about the same So another uh,

874
00:54:46,960 --> 00:54:51,800
Speaker 1: another individual, Ryan wrote in worked up about the same issue,

875
00:54:51,840 --> 00:54:56,040
Speaker 1: and he lays out the history too, a history that

876
00:54:56,080 --> 00:55:00,560
Speaker 1: goes back to nineteen thirty one. He said Wasjohnson was

877
00:55:00,600 --> 00:55:03,720
Speaker 1: the first state to put protections in for Lake sturgeon.

878
00:55:04,880 --> 00:55:07,839
Speaker 1: And he didn't say this, but I'm saying also in

879
00:55:07,960 --> 00:55:13,440
Speaker 1: plan with limited harvest Okay in Wisconsin also is the

880
00:55:13,440 --> 00:55:18,919
Speaker 1: birthplace of Sturgeon's sturgeon for tomorrow. He goes on to say,

881
00:55:18,920 --> 00:55:21,920
Speaker 1: our state, Wisconsin has led the way to the restoration

882
00:55:22,080 --> 00:55:24,680
Speaker 1: of the sturgeon, not only in our own waters, but

883
00:55:24,760 --> 00:55:28,480
Speaker 1: in other states through sharing of spring spawning egg collections

884
00:55:28,520 --> 00:55:32,799
Speaker 1: and our hatcheries being first to successfully raise sturgeon. Our

885
00:55:32,840 --> 00:55:37,560
Speaker 1: Winnebago system has a dedicated lake sturgeon biologist who oversees

886
00:55:37,600 --> 00:55:41,960
Speaker 1: the estimated population of forty thousand fish and sets the

887
00:55:42,040 --> 00:55:46,920
Speaker 1: highly managed harvest caps for each February's sixteen day season.

888
00:55:50,000 --> 00:55:54,399
Speaker 1: He goes on to say, losing our limited harvest. So

889
00:55:54,520 --> 00:55:59,759
Speaker 1: they have an estimated forty thousand fish they issue for

890
00:55:59,800 --> 00:56:04,560
Speaker 1: this short season about thirteen thousand tags. They don't kill

891
00:56:04,600 --> 00:56:10,200
Speaker 1: nearly that many fish because it's not a quota. He says,

892
00:56:10,560 --> 00:56:13,720
Speaker 1: you know, goes into the obvious effects of you're locking

893
00:56:13,719 --> 00:56:18,759
Speaker 1: out public input. You're locking out public enthusiasm for a resource,

894
00:56:19,120 --> 00:56:23,400
Speaker 1: public enthusiasm about how these angers came together to restore

895
00:56:23,440 --> 00:56:29,960
Speaker 1: this resource, and folks aren't happy. She's another guy wrote

896
00:56:30,000 --> 00:56:41,799
Speaker 1: in Nathan Kaiser, same points, wanting to hear us talk

897
00:56:41,840 --> 00:56:47,600
Speaker 1: about it. I think we just talked about it.

898
00:56:47,600 --> 00:56:49,840
Speaker 2: It doesn't sound like it's in danger.

899
00:56:51,000 --> 00:56:52,560
Speaker 1: In a lot of places it is okay.

900
00:56:52,600 --> 00:56:54,200
Speaker 2: But in that particular instance.

901
00:56:54,200 --> 00:56:55,960
Speaker 1: I think they got a case. I think they got

902
00:56:56,040 --> 00:56:59,440
Speaker 1: like a case of you know, I think they're not

903
00:56:59,600 --> 00:57:04,759
Speaker 1: looking at at it, not giving Wisconsin credit where credits due.

904
00:57:05,480 --> 00:57:08,640
Speaker 1: I'm restoring a fishery in a way that brings a

905
00:57:08,680 --> 00:57:10,360
Speaker 1: lot of good will. Yoanni can speak to it. Anyways,

906
00:57:10,360 --> 00:57:11,880
Speaker 1: Me and Yanni keep applying for these I don't know

907
00:57:11,920 --> 00:57:13,720
Speaker 1: how much money you mean, put it into that pile

908
00:57:13,760 --> 00:57:17,080
Speaker 1: of money. We've sweetened that pot up over the years.

909
00:57:17,840 --> 00:57:20,560
Speaker 6: You guys wanted to go sit in one of the shacks.

910
00:57:20,200 --> 00:57:22,120
Speaker 1: And well, we want to go to the Upper Lake.

911
00:57:22,320 --> 00:57:22,480
Speaker 6: Yeah.

912
00:57:22,520 --> 00:57:25,960
Speaker 3: I don't think that that applications cost that much money.

913
00:57:26,080 --> 00:57:29,080
Speaker 3: So we might be in for one hundred bucks.

914
00:57:29,880 --> 00:57:31,880
Speaker 1: We want to fish the Upper Lake and we're collecting

915
00:57:31,880 --> 00:57:32,680
Speaker 1: bonus points.

916
00:57:32,760 --> 00:57:34,680
Speaker 3: Yeah, we got another three four years to.

917
00:57:34,760 --> 00:57:39,680
Speaker 6: Point upper Lake a more desirable place.

918
00:57:39,760 --> 00:57:39,960
Speaker 1: Yeah.

919
00:57:39,960 --> 00:57:40,600
Speaker 6: Fish.

920
00:57:40,840 --> 00:57:42,600
Speaker 1: When you draw the Upper Lake, you're going to be

921
00:57:42,640 --> 00:57:42,880
Speaker 1: in it.

922
00:57:44,080 --> 00:57:45,919
Speaker 3: If we shouldn't even be talking about it.

923
00:57:46,080 --> 00:57:48,520
Speaker 1: I know because now, well that's why I got to

924
00:57:48,560 --> 00:57:50,280
Speaker 1: real ax to grind here, because you know, at the

925
00:57:50,360 --> 00:57:52,240
Speaker 1: end of the day, it's you know, when I think

926
00:57:52,240 --> 00:57:53,600
Speaker 1: I could tell you, guys, when when I was in

927
00:57:53,640 --> 00:57:56,000
Speaker 1: eighth grade, I took Civics class eighth or ninth grade

928
00:57:56,080 --> 00:57:57,480
Speaker 1: with a guy named Al Deong.

929
00:57:57,640 --> 00:57:58,440
Speaker 3: You didn't tell me that.

930
00:57:58,720 --> 00:58:01,520
Speaker 1: I've never told you the story. The teacher is Al Young,

931
00:58:01,560 --> 00:58:03,600
Speaker 1: and he taught Civics and he taught it from the

932
00:58:03,640 --> 00:58:06,320
Speaker 1: angle of he would talk about one. He would say like,

933
00:58:06,400 --> 00:58:09,240
Speaker 1: I would never take you kids down to register to vote,

934
00:58:10,120 --> 00:58:13,720
Speaker 1: any kids, because why would I dilute my vote? He

935
00:58:13,720 --> 00:58:16,400
Speaker 1: would say, I don't want you people to vote because

936
00:58:16,400 --> 00:58:18,040
Speaker 1: I don't get people wanting other people to vote. I

937
00:58:18,040 --> 00:58:20,320
Speaker 1: wish I was the only voter. And he would also

938
00:58:20,360 --> 00:58:23,560
Speaker 1: say I like that. Well he was he was playing.

939
00:58:23,600 --> 00:58:25,240
Speaker 1: I think he was looking back, I think he's being

940
00:58:25,240 --> 00:58:28,600
Speaker 1: a little bit of a devil's advocate. But his slogan

941
00:58:28,880 --> 00:58:32,400
Speaker 1: was remember when he's trying to explain government, he'd be

942
00:58:32,400 --> 00:58:36,000
Speaker 1: like remember, and he'd put his thumbs toward himself. He goes, remember,

943
00:58:36,600 --> 00:58:40,600
Speaker 1: I am concerned only with what effects al de Young.

944
00:58:45,040 --> 00:58:47,720
Speaker 1: And he would play like the singer. Everybody hated him,

945
00:58:47,960 --> 00:58:49,600
Speaker 1: but like, looking back at it, I think he was

946
00:58:49,600 --> 00:58:51,800
Speaker 1: like demonstrating a point as a teacher. You know, I'm

947
00:58:51,920 --> 00:58:54,600
Speaker 1: concerned only with what effects al the Young and this

948
00:58:54,680 --> 00:58:57,480
Speaker 1: is this, this this Wisconsin deal. Just to lay it

949
00:58:57,520 --> 00:58:59,240
Speaker 1: all out there, I want I don't want people to

950
00:58:59,240 --> 00:59:01,840
Speaker 1: I want people to know my biases. I have been

951
00:59:02,760 --> 00:59:10,720
Speaker 1: steadfastly trying to draw a sturgeon permit Wisconsin so years ago,

952
00:59:11,080 --> 00:59:12,880
Speaker 1: and we're gonna I'll move on from the subject. But

953
00:59:13,040 --> 00:59:14,560
Speaker 1: years ago I wrote an op ed in the New

954
00:59:14,640 --> 00:59:18,000
Speaker 1: York Times saying it's time to delist the grizzly Okay,

955
00:59:19,120 --> 00:59:21,400
Speaker 1: and I laid all the reasons that for twenty years

956
00:59:22,960 --> 00:59:26,520
Speaker 1: when they originally put protections in place for grizzly bears,

957
00:59:26,560 --> 00:59:29,320
Speaker 1: they came up with everybody sat at the table. They said,

958
00:59:29,360 --> 00:59:32,640
Speaker 1: what does recovery look like? I wrote this op ed

959
00:59:32,920 --> 00:59:35,240
Speaker 1: six seven, eight years ago. I don't know at that

960
00:59:35,360 --> 00:59:38,640
Speaker 1: point in time, those recovery objectives had been met for

961
00:59:38,640 --> 00:59:42,360
Speaker 1: twenty years, so there had been twenty years of recovery,

962
00:59:42,440 --> 00:59:47,520
Speaker 1: still no movement on delisting. They Wisconsin or at that

963
00:59:47,600 --> 00:59:53,520
Speaker 1: time Wyoming was spending more on each grizzly bear in

964
00:59:53,560 --> 00:59:57,240
Speaker 1: Wyoming than Idaho spends on kids in public school. Right,

965
00:59:57,320 --> 00:59:59,920
Speaker 1: like just it was time to delist the bear, which

966
01:00:00,080 --> 01:00:04,000
Speaker 1: never got you listed. And in the when I wrote

967
01:00:04,000 --> 01:00:08,360
Speaker 1: the op ed, they had turned up that I had hunted,

968
01:00:10,000 --> 01:00:15,960
Speaker 1: that I had held grizzly bear tags for British Columbia, Alaska.

969
01:00:16,120 --> 01:00:18,760
Speaker 1: So like you have to admit in your op ed

970
01:00:19,360 --> 01:00:23,880
Speaker 1: that you have a vested interest because you have hunted

971
01:00:24,880 --> 01:00:27,760
Speaker 1: for grizzly bears. They made me like point that out.

972
01:00:28,760 --> 01:00:31,640
Speaker 1: So I'm here pointing out and I was trying to

973
01:00:31,680 --> 01:00:34,280
Speaker 1: hide it just didn't seem germane to the subject. So

974
01:00:34,320 --> 01:00:36,360
Speaker 1: I had to say, like, as a guy who you

975
01:00:36,360 --> 01:00:38,400
Speaker 1: know has in the past hunted grizzies, I think the

976
01:00:38,400 --> 01:00:41,640
Speaker 1: should delist grizzlies. Which the problem is then people read

977
01:00:41,680 --> 01:00:42,720
Speaker 1: your op ed and all they want to do is

978
01:00:42,760 --> 01:00:46,040
Speaker 1: write you mean letters because you hunted grizzlies. They wanted

979
01:00:46,080 --> 01:00:49,240
Speaker 1: to say this for Steve, but I'm only without effects

980
01:00:49,720 --> 01:00:52,640
Speaker 1: Steve so in pointing out that me and Yanni are

981
01:00:52,640 --> 01:00:55,680
Speaker 1: deeply invested in our sturgeon tags, but I would feel

982
01:00:55,720 --> 01:00:59,600
Speaker 1: the same way. But I would feel the same way.

983
01:01:01,040 --> 01:01:02,840
Speaker 1: I should also point out that my kid caught a

984
01:01:03,000 --> 01:01:10,360
Speaker 1: king salmon last year. Janni's not being a good podcast

985
01:01:10,360 --> 01:01:12,560
Speaker 1: guest because he's very anxious to get back out hunting.

986
01:01:12,640 --> 01:01:13,920
Speaker 1: You want to explain what's going on.

987
01:01:14,640 --> 01:01:17,560
Speaker 3: Yeah, according to my clock here, we have about sixteen

988
01:01:17,640 --> 01:01:24,120
Speaker 3: minutes until this thing needs go hit the cues deer.

989
01:01:24,360 --> 01:01:28,600
Speaker 1: We're getting last day. Yeah, Dedicated podcast listeners will know

990
01:01:28,680 --> 01:01:30,720
Speaker 1: that every year we do a podcast, we do an

991
01:01:30,720 --> 01:01:33,920
Speaker 1: episode from Mexico. It's a tradition and we come down

992
01:01:34,000 --> 01:01:36,080
Speaker 1: and talk about what a great time. We had all

993
01:01:36,120 --> 01:01:39,439
Speaker 1: the bucks, we shot, all the bucks, we saw how

994
01:01:39,520 --> 01:01:43,040
Speaker 1: awesome it is. It's like traveling back in time. Today's

995
01:01:43,080 --> 01:01:46,600
Speaker 1: the good old days. It's like someday people look back

996
01:01:46,680 --> 01:01:50,960
Speaker 1: on Sonora KU's deer hunting in the twenty twenties and

997
01:01:51,000 --> 01:01:54,600
Speaker 1: they'll talk about it like it'll be like mule deer

998
01:01:54,680 --> 01:01:56,000
Speaker 1: hunting Utah nineteen six.

999
01:01:56,200 --> 01:01:57,400
Speaker 6: It'll never be good again.

1000
01:01:57,480 --> 01:02:00,000
Speaker 1: Ye, it'll be what you look back on, right, it'll be.

1001
01:02:00,360 --> 01:02:03,919
Speaker 1: It'll be Eagle County, Colorado in the seventies. I don't

1002
01:02:03,960 --> 01:02:08,840
Speaker 1: know right today, but not anymore. It's over and it

1003
01:02:08,880 --> 01:02:11,280
Speaker 1: was a good run. Twenty twenty three was the last

1004
01:02:11,280 --> 01:02:15,919
Speaker 1: good year. It's over. I don't know what happened. It's over.

1005
01:02:17,960 --> 01:02:19,920
Speaker 1: We have been pouring the coals to it. When we

1006
01:02:19,960 --> 01:02:23,360
Speaker 1: come down, we're in Sonara. We're further south than we've

1007
01:02:23,400 --> 01:02:26,800
Speaker 1: ever been before. I believe. We come down and the

1008
01:02:26,840 --> 01:02:31,480
Speaker 1: mantra is a buck a day and we gang hunt.

1009
01:02:31,800 --> 01:02:34,440
Speaker 1: We got a lot of people and the goal is

1010
01:02:34,520 --> 01:02:36,400
Speaker 1: every day we find a shooter bucking get it. And

1011
01:02:36,480 --> 01:02:40,360
Speaker 1: if you do a buck a day, that's the formula

1012
01:02:40,360 --> 01:02:46,400
Speaker 1: for success. Day one. Paul Bam Buckaday, I'm scheduled. It's

1013
01:02:46,400 --> 01:02:49,960
Speaker 1: sitting right there today. We need to kill four.

1014
01:02:51,920 --> 01:02:53,560
Speaker 2: In afternoon, and it is.

1015
01:02:55,000 --> 01:02:55,480
Speaker 1: Raining.

1016
01:02:56,720 --> 01:02:59,360
Speaker 3: It's not right now, but there's another cell that's probably

1017
01:02:59,400 --> 01:03:00,760
Speaker 3: an hour two out.

1018
01:03:00,880 --> 01:03:03,640
Speaker 4: Oh no, it's raining right now. It hasn't stopped right

1019
01:03:03,800 --> 01:03:04,760
Speaker 4: since we hit record.

1020
01:03:05,680 --> 01:03:06,560
Speaker 3: Is it raining out there?

1021
01:03:06,600 --> 01:03:11,160
Speaker 1: Gear Han Dirt can't hear you because he's digging the

1022
01:03:11,200 --> 01:03:13,240
Speaker 1: ear wax out of his ears to fix his lips.

1023
01:03:14,360 --> 01:03:16,240
Speaker 1: He's got a finger in each ear. You got dig

1024
01:03:16,320 --> 01:03:22,680
Speaker 1: deeper and deeper. You know, when your chapstick runs out

1025
01:03:22,960 --> 01:03:25,760
Speaker 1: and you gotta dig your fingernail down in there to

1026
01:03:25,880 --> 01:03:29,040
Speaker 1: like get the remnant that sits around that little prong

1027
01:03:29,120 --> 01:03:32,520
Speaker 1: in there. That's like digging into your ear the same motion.

1028
01:03:33,640 --> 01:03:35,040
Speaker 1: Just because you do it, you're pinky nail.

1029
01:03:35,360 --> 01:03:37,320
Speaker 6: He's gonna have to start working with tools for.

1030
01:03:39,840 --> 01:03:44,200
Speaker 3: I'm quite doing the ear digging ever since Grace Sturnament

1031
01:03:44,400 --> 01:03:47,640
Speaker 3: was on the podcast told us how bad it is

1032
01:03:47,760 --> 01:03:50,720
Speaker 3: to jam anything in there. I just let the ear

1033
01:03:50,760 --> 01:03:51,160
Speaker 3: wax go.

1034
01:03:51,400 --> 01:03:52,880
Speaker 1: See you run around the big old thing and Q

1035
01:03:53,000 --> 01:03:55,960
Speaker 1: tips What you been doing with those? I didn't know

1036
01:03:56,040 --> 01:04:01,280
Speaker 1: it was the worst thing you could possibly do at it.

1037
01:04:01,280 --> 01:04:06,840
Speaker 1: It's right up there with uh seed oils and low T.

1038
01:04:07,600 --> 01:04:09,000
Speaker 3: Three big changes from.

1039
01:04:10,640 --> 01:04:11,520
Speaker 1: He didn't know his low T.

1040
01:04:13,360 --> 01:04:18,000
Speaker 2: Definitely, I've learned a lot of things this truck.

1041
01:04:18,120 --> 01:04:21,160
Speaker 1: He didn't know some changes, making some change. He didn't

1042
01:04:21,160 --> 01:04:23,640
Speaker 1: know he was low TI. He didn't know that furries

1043
01:04:23,680 --> 01:04:26,920
Speaker 1: are taking over public schools, and people didn't.

1044
01:04:26,640 --> 01:04:28,720
Speaker 2: Know litter boxes in the in the classroom, and.

1045
01:04:28,640 --> 01:04:30,320
Speaker 1: He didn't know that you're not supposed to be digging

1046
01:04:30,320 --> 01:04:30,920
Speaker 1: around in your ear.

1047
01:04:32,280 --> 01:04:35,720
Speaker 2: I'm going back with an agenda making some changes.

1048
01:04:37,280 --> 01:04:39,360
Speaker 1: Yeah, you do a quick wrap up on the Mexico hunt.

1049
01:04:39,400 --> 01:04:40,640
Speaker 1: I've been talking a bunch about it.

1050
01:04:41,080 --> 01:04:45,919
Speaker 3: It's been a tough week, tough conditions. I think our

1051
01:04:46,520 --> 01:04:51,360
Speaker 3: our buddy Jay wants nothing more than to see us

1052
01:04:51,400 --> 01:04:53,840
Speaker 3: be successful. We can agree on that.

1053
01:04:53,720 --> 01:04:56,960
Speaker 1: Right correct. Jay has always treated us exceptionally.

1054
01:04:57,080 --> 01:04:59,680
Speaker 3: I'm one hundred percent sure, and I'm sorry for all

1055
01:04:59,720 --> 01:05:02,160
Speaker 3: of other clients, but I'm one hundred percent sure that

1056
01:05:02,240 --> 01:05:04,480
Speaker 3: we get a teeny tiny little bit of preference.

1057
01:05:05,760 --> 01:05:07,640
Speaker 1: Well, because we've been We've been in it from the

1058
01:05:07,640 --> 01:05:07,960
Speaker 1: get go.

1059
01:05:08,840 --> 01:05:10,280
Speaker 6: I know, Yeah, we've been clients.

1060
01:05:10,320 --> 01:05:12,840
Speaker 3: You're right, You're right, a guy, we're ten we're ten

1061
01:05:12,920 --> 01:05:15,080
Speaker 3: years in. I'm just saying we get a little bit

1062
01:05:15,080 --> 01:05:15,600
Speaker 3: of preference.

1063
01:05:16,120 --> 01:05:17,240
Speaker 1: We used to work for the guy.

1064
01:05:22,520 --> 01:05:23,600
Speaker 3: I'm just setting it up.

1065
01:05:24,080 --> 01:05:26,280
Speaker 1: I feel jumping to the end and I'm trying to

1066
01:05:26,320 --> 01:05:26,880
Speaker 1: expat I.

1067
01:05:26,800 --> 01:05:29,840
Speaker 3: Feel like we're in we're at a prime cous deer

1068
01:05:30,120 --> 01:05:34,840
Speaker 3: hunting ranch. They guided here for a few years before

1069
01:05:34,920 --> 01:05:38,000
Speaker 3: they went to letting DI. I Y guys come here

1070
01:05:38,040 --> 01:05:40,440
Speaker 3: and I think we're like the third or fourth DIY

1071
01:05:40,520 --> 01:05:44,720
Speaker 3: group here. And uh, yeah, we've caught a terrible week

1072
01:05:44,800 --> 01:05:48,600
Speaker 3: where it sounds like the rut is not happening anywhere

1073
01:05:48,600 --> 01:05:53,360
Speaker 3: in Sonora this week. Uh, the weather has been terrible

1074
01:05:53,360 --> 01:05:54,320
Speaker 3: for cous deer hunting.

1075
01:05:54,720 --> 01:05:59,440
Speaker 6: Were hate tremendous winds. You know, at times the optics

1076
01:05:59,480 --> 01:06:01,160
Speaker 6: are shaken so bad on a tripod.

1077
01:06:01,360 --> 01:06:04,160
Speaker 3: Looking back on it, I think day one was beautiful.

1078
01:06:04,200 --> 01:06:06,920
Speaker 3: It was really the only full perfect day that.

1079
01:06:06,880 --> 01:06:13,160
Speaker 1: We had big drought, right, Yeah, all the local drought

1080
01:06:13,200 --> 01:06:17,120
Speaker 1: stricken landscape that broke today. The drought ended today.

1081
01:06:17,520 --> 01:06:20,920
Speaker 2: I think it's interesting that we're hunting like in a

1082
01:06:21,360 --> 01:06:24,160
Speaker 2: valley that has a massive food source at the bottom,

1083
01:06:24,200 --> 01:06:25,240
Speaker 2: which is different.

1084
01:06:24,960 --> 01:06:27,520
Speaker 1: Than we've done. I've never been around any kind of.

1085
01:06:28,800 --> 01:06:31,240
Speaker 2: That you know, creates it, you know, with that with

1086
01:06:31,320 --> 01:06:32,920
Speaker 2: the drought, we.

1087
01:06:32,880 --> 01:06:34,960
Speaker 3: Had a place once they had those wheat fields in

1088
01:06:35,040 --> 01:06:35,720
Speaker 3: the bottom.

1089
01:06:35,920 --> 01:06:39,560
Speaker 1: But they weren't irrigated, were they They might have done

1090
01:06:39,560 --> 01:06:40,320
Speaker 1: some flood irrigation.

1091
01:06:40,440 --> 01:06:42,600
Speaker 3: Now yeah, yeahn had.

1092
01:06:42,560 --> 01:06:48,560
Speaker 1: A great point about why the rut. It's obvious that

1093
01:06:48,680 --> 01:06:50,880
Speaker 1: if you're having rot activities just gonna be better. But

1094
01:06:50,960 --> 01:06:53,640
Speaker 1: here here's a very particular thing that makes it better,

1095
01:06:54,440 --> 01:06:59,640
Speaker 1: would be the they're so hard to find even when

1096
01:06:59,640 --> 01:07:02,080
Speaker 1: you know, like let's say you know too deer are

1097
01:07:02,640 --> 01:07:05,160
Speaker 1: you're looking at a hillside, you're looking at the mountain side,

1098
01:07:05,160 --> 01:07:06,600
Speaker 1: and you know there's two deer on the mountain.

1099
01:07:06,360 --> 01:07:09,160
Speaker 3: Side because you saw them.

1100
01:07:09,400 --> 01:07:11,360
Speaker 1: You saw them, so you're looking at them, you see them.

1101
01:07:11,840 --> 01:07:14,560
Speaker 1: Most of the time, you don't, you can't see them right, right,

1102
01:07:14,600 --> 01:07:17,280
Speaker 1: Like if you watch two feeding deer four an hour,

1103
01:07:18,240 --> 01:07:19,640
Speaker 1: I don't know, you never figured out, but I would

1104
01:07:19,640 --> 01:07:22,680
Speaker 1: say like on average, for forty minutes of that hour,

1105
01:07:22,760 --> 01:07:25,200
Speaker 1: you can't. You don't. You can't see them. Yeah, maybe

1106
01:07:25,240 --> 01:07:27,439
Speaker 1: more in the whatever. If they're in the brush, right,

1107
01:07:27,720 --> 01:07:31,880
Speaker 1: they just they vanish. They're the gray ghost. And then

1108
01:07:31,880 --> 01:07:34,439
Speaker 1: sometimes you see them and even where you find one,

1109
01:07:34,480 --> 01:07:37,360
Speaker 1: and then you lose it. And never we had to happen.

1110
01:07:37,440 --> 01:07:39,240
Speaker 1: Yesterday I watched the deer go up onto an open

1111
01:07:39,280 --> 01:07:42,520
Speaker 1: hillside and took my eyes off it to look at

1112
01:07:42,560 --> 01:07:46,080
Speaker 1: a buck that I saw below. It went back to

1113
01:07:46,080 --> 01:07:47,640
Speaker 1: it could never locate it. So in that little bit

1114
01:07:47,680 --> 01:07:49,840
Speaker 1: of time it has it did something betted down went

1115
01:07:49,880 --> 01:07:52,800
Speaker 1: out of my view. I don't know they vanished the

1116
01:07:52,880 --> 01:07:57,320
Speaker 1: saving graces. You're able to detect movement. And if you

1117
01:07:57,360 --> 01:07:59,640
Speaker 1: watch a group of two or three dos or four

1118
01:07:59,680 --> 01:08:01,680
Speaker 1: or five does whatever, and they got a buck or two,

1119
01:08:02,480 --> 01:08:05,320
Speaker 1: that buck's chasing them. The buckets closed to him, the

1120
01:08:05,360 --> 01:08:08,560
Speaker 1: does run, the buckets closed to him, the does run,

1121
01:08:08,600 --> 01:08:10,640
Speaker 1: the bucks closed through the dose run. So when you're

1122
01:08:10,680 --> 01:08:15,480
Speaker 1: glass in the hillside, there's something to like, there's something

1123
01:08:15,560 --> 01:08:19,160
Speaker 1: happening to make a movement, and the movement is what

1124
01:08:19,200 --> 01:08:21,200
Speaker 1: you see. Then you find a dough. You're like, oh shit,

1125
01:08:21,280 --> 01:08:24,599
Speaker 1: a dough and you watch and you realize not just that,

1126
01:08:24,760 --> 01:08:27,760
Speaker 1: oh I just saw an ear move up behind it.

1127
01:08:28,120 --> 01:08:30,439
Speaker 1: I just saw this happen. Little things you would never

1128
01:08:30,439 --> 01:08:33,760
Speaker 1: known if you hadn't gotten a focal point of activity.

1129
01:08:34,680 --> 01:08:39,200
Speaker 1: Case of points yesterday, we knew about dirt spotted two dos,

1130
01:08:40,360 --> 01:08:43,479
Speaker 1: a doe betted, he spotted a dough feeding, and a

1131
01:08:43,520 --> 01:08:45,760
Speaker 1: dough betted next to it. A dog got up and

1132
01:08:45,840 --> 01:08:49,080
Speaker 1: fed laid down. That dough vanished for an hour, and

1133
01:08:49,120 --> 01:08:50,640
Speaker 1: we knew right where it laid down. You would never

1134
01:08:50,680 --> 01:08:54,040
Speaker 1: have known ed there. The other deer got up, shuffled,

1135
01:08:54,040 --> 01:08:55,800
Speaker 1: and laid back down in the same spot. When it

1136
01:08:55,880 --> 01:08:58,880
Speaker 1: laid back in the same spot, you couldn't find it. Eventually,

1137
01:08:58,920 --> 01:09:02,000
Speaker 1: those deer get up, and I even say to dirt,

1138
01:09:02,040 --> 01:09:03,840
Speaker 1: I'm just gonna our old. This is our only thing.

1139
01:09:03,920 --> 01:09:06,080
Speaker 1: I'm going to follow that deer that lead dough with

1140
01:09:06,120 --> 01:09:09,440
Speaker 1: my binoculars. And following that lead dough with my binoculars,

1141
01:09:09,479 --> 01:09:11,760
Speaker 1: I see a mountain lion come and set up out

1142
01:09:11,800 --> 01:09:15,040
Speaker 1: ahead of it to try to kill it. When that

1143
01:09:15,120 --> 01:09:18,479
Speaker 1: mountain lion finally jumps, it jumps and there was a

1144
01:09:18,520 --> 01:09:21,639
Speaker 1: deer I never knew about. A four key buck came

1145
01:09:21,720 --> 01:09:24,280
Speaker 1: squirting out of this bush that we never knew about

1146
01:09:24,400 --> 01:09:26,600
Speaker 1: until it came out because a mountain lion tried to

1147
01:09:26,600 --> 01:09:31,400
Speaker 1: grab it. That's like how much you miss or see

1148
01:09:31,600 --> 01:09:32,320
Speaker 1: it's hard.

1149
01:09:32,400 --> 01:09:38,120
Speaker 2: Last year we found Phelps's buck when a smaller buck

1150
01:09:38,240 --> 01:09:41,800
Speaker 2: was chasing does and then a bigger buck stepped out

1151
01:09:42,280 --> 01:09:44,840
Speaker 2: and you know, fought him, ran them off and took

1152
01:09:44,880 --> 01:09:46,800
Speaker 2: the doze. I mean, you never would have known the

1153
01:09:46,800 --> 01:09:50,439
Speaker 2: bigger buck was there unless the rod activity was fifteen

1154
01:09:50,479 --> 01:09:52,519
Speaker 2: hundred yards away, you know, up on the side of

1155
01:09:52,560 --> 01:09:57,080
Speaker 2: the mountain. We had no idea. The profile of all those.

1156
01:09:56,920 --> 01:09:59,519
Speaker 1: Deers lured him out, and it brought.

1157
01:09:59,320 --> 01:10:03,280
Speaker 2: Out even multiple other bucks that are attracted to that activity.

1158
01:10:03,720 --> 01:10:06,960
Speaker 2: And what was nice is it that activity going on

1159
01:10:07,200 --> 01:10:10,320
Speaker 2: allowed phelps to be able to sneak up there. They

1160
01:10:10,320 --> 01:10:12,360
Speaker 2: were busy, Yeah, you could make plays.

1161
01:10:13,160 --> 01:10:15,080
Speaker 1: And in the absence of that, they're all just laid

1162
01:10:15,160 --> 01:10:15,679
Speaker 1: under a tree.

1163
01:10:15,840 --> 01:10:17,160
Speaker 2: Yeah, you see zero.

1164
01:10:17,960 --> 01:10:20,840
Speaker 7: I mean last night, this morning, we've seen what between

1165
01:10:21,040 --> 01:10:23,720
Speaker 7: our group twenty five dos last night, twenty plus does

1166
01:10:23,760 --> 01:10:26,559
Speaker 7: today not a horn in the group. So it's like man,

1167
01:10:26,600 --> 01:10:27,920
Speaker 7: at some point, mature doe.

1168
01:10:27,720 --> 01:10:30,280
Speaker 2: Everywhere have to see them.

1169
01:10:30,400 --> 01:10:33,080
Speaker 1: They're just pushed back up in there somewhere. I told

1170
01:10:33,160 --> 01:10:35,519
Speaker 1: Krin this morning, I said, we're not gonna make a show.

1171
01:10:35,720 --> 01:10:37,680
Speaker 1: We're not gonna record a show today, or that's not

1172
01:10:37,680 --> 01:10:40,280
Speaker 1: how I put it. I said, what happens if we

1173
01:10:40,320 --> 01:10:42,800
Speaker 1: don't make a show today? And she said, you'll be fine,

1174
01:10:42,840 --> 01:10:45,920
Speaker 1: just focus on hunting, and then it started ransom bad.

1175
01:10:45,920 --> 01:10:47,479
Speaker 1: We can't make the show. So you people should be

1176
01:10:47,479 --> 01:10:55,439
Speaker 1: pretty happy with yourselves having this show comes that great

1177
01:10:55,560 --> 01:10:57,840
Speaker 1: tremendous sacrifice.

1178
01:10:58,840 --> 01:11:01,800
Speaker 3: It was cool seeing that, though I don't there's not

1179
01:11:02,000 --> 01:11:04,799
Speaker 3: I've only glassed that. That was probably the closest line

1180
01:11:04,840 --> 01:11:07,400
Speaker 3: I've ever glassed up. I think it was around one

1181
01:11:07,400 --> 01:11:10,439
Speaker 3: thy twelve hundred yards. To me, what was cool is

1182
01:11:10,479 --> 01:11:13,040
Speaker 3: when I first saw it is that I was just

1183
01:11:13,040 --> 01:11:15,240
Speaker 3: glass I just moved and I could see kind of

1184
01:11:15,240 --> 01:11:17,720
Speaker 3: lower towards the river than I had earlier. So I'm

1185
01:11:17,720 --> 01:11:19,559
Speaker 3: looking at this specific zone and all of a sudden

1186
01:11:19,560 --> 01:11:22,200
Speaker 3: it walks into my field of view, and I'm paying

1187
01:11:22,240 --> 01:11:24,599
Speaker 3: it along with it, and all of a sudden it stops,

1188
01:11:24,880 --> 01:11:28,040
Speaker 3: and literally ten yards above it, maybe fifteen, there's a

1189
01:11:28,080 --> 01:11:30,120
Speaker 3: coups deer standing there that I had not seen up

1190
01:11:30,160 --> 01:11:32,840
Speaker 3: to that point. So again it took me, like focusing

1191
01:11:32,840 --> 01:11:35,160
Speaker 3: on something else, to all of a sudden see this

1192
01:11:35,240 --> 01:11:39,519
Speaker 3: deer standing there. They're unaware of each other. The lion's

1193
01:11:39,520 --> 01:11:42,479
Speaker 3: looking like across the hill, the doe is looking straight

1194
01:11:42,560 --> 01:11:46,280
Speaker 3: up the hill, but she somehow senses the presence before

1195
01:11:46,360 --> 01:11:49,800
Speaker 3: the lion senses the deer's presence. She turns around, looks

1196
01:11:49,800 --> 01:11:53,960
Speaker 3: at it and goes, oh shit. And then takes bounding off,

1197
01:11:54,240 --> 01:11:55,880
Speaker 3: and what was funny is I don't know if it

1198
01:11:55,920 --> 01:11:58,479
Speaker 3: was like an optical illusion of being so far away

1199
01:11:58,800 --> 01:12:01,840
Speaker 3: or what, but there was like this delay where you'd

1200
01:12:01,880 --> 01:12:04,080
Speaker 3: think as soon as she made two bounds, the cat

1201
01:12:04,120 --> 01:12:06,760
Speaker 3: would be like, oh, I heard something right there, I

1202
01:12:06,760 --> 01:12:10,240
Speaker 3: should go after it. But instead she gets fifty sixty

1203
01:12:10,320 --> 01:12:12,080
Speaker 3: yards away, and then the cat's all of a sudden

1204
01:12:12,120 --> 01:12:14,760
Speaker 3: like oh what was that and starts going uphill kind

1205
01:12:14,760 --> 01:12:15,960
Speaker 3: of in that direction. Yeah.

1206
01:12:16,439 --> 01:12:18,280
Speaker 1: Do you believe me when I tell you that that

1207
01:12:19,200 --> 01:12:19,760
Speaker 1: there was two?

1208
01:12:21,120 --> 01:12:21,760
Speaker 3: Sure? Why not?

1209
01:12:21,880 --> 01:12:23,720
Speaker 1: I don't know? You saw it?

1210
01:12:24,080 --> 01:12:24,880
Speaker 3: You know what you saw.

1211
01:12:25,120 --> 01:12:27,679
Speaker 1: There's just no way that the one could have gotten around.

1212
01:12:28,000 --> 01:12:33,559
Speaker 1: Do you back me up on this? Really?

1213
01:12:34,040 --> 01:12:34,760
Speaker 3: You just saw it?

1214
01:12:35,080 --> 01:12:35,559
Speaker 1: What are you eating?

1215
01:12:39,800 --> 01:12:41,479
Speaker 4: Where was the bobcat?

1216
01:12:44,160 --> 01:12:53,560
Speaker 1: It's getting wet wilder huh, big old bobcat. Yeah. See,

1217
01:12:53,560 --> 01:12:56,040
Speaker 1: the mountaines is a lot of fun, and seeing him

1218
01:12:56,040 --> 01:12:57,439
Speaker 1: trying to strike a deer's a lot of fun.

1219
01:12:57,600 --> 01:12:59,200
Speaker 6: Yeah. You sure don't get to do that every day.

1220
01:12:59,200 --> 01:13:02,120
Speaker 6: I think twenty years of guiding, I maybe saw five

1221
01:13:02,240 --> 01:13:05,559
Speaker 6: lions that were not treed with dogs just incidental to hunting.

1222
01:13:06,680 --> 01:13:08,559
Speaker 6: I hadn't experienced one time very similar to you guys.

1223
01:13:09,160 --> 01:13:12,479
Speaker 6: I saw a couple of cow elk in a meadow

1224
01:13:12,760 --> 01:13:14,479
Speaker 6: and I could all of a sudden sense they were

1225
01:13:14,560 --> 01:13:16,800
Speaker 6: very alert looking below. And I was archery bull hunting

1226
01:13:16,800 --> 01:13:19,280
Speaker 6: at the time for elk, and of course, then as

1227
01:13:19,320 --> 01:13:21,800
Speaker 6: soon as I saw the cows were focused on something below,

1228
01:13:21,840 --> 01:13:24,040
Speaker 6: I thought, well, there's a good chance maybe there's a

1229
01:13:24,040 --> 01:13:28,280
Speaker 6: bull coming. And just moments later, a big tom lion

1230
01:13:28,439 --> 01:13:31,599
Speaker 6: came sprinting straight up hill across his meadow after him,

1231
01:13:31,800 --> 01:13:34,360
Speaker 6: but they were already onto him, and they were uphill,

1232
01:13:34,840 --> 01:13:37,479
Speaker 6: so the minute he cleared the brush, they were gone

1233
01:13:37,520 --> 01:13:39,479
Speaker 6: and they beat him out. And then I got to

1234
01:13:39,520 --> 01:13:41,639
Speaker 6: watch his line just great. I had a spotting scope

1235
01:13:41,640 --> 01:13:43,400
Speaker 6: on him, just beautiful. And he jumped up and he

1236
01:13:43,400 --> 01:13:45,760
Speaker 6: got on a flat spot and he was sitting there

1237
01:13:45,800 --> 01:13:48,679
Speaker 6: and his ears were down and his tails just flicking,

1238
01:13:48,720 --> 01:13:51,160
Speaker 6: and you could tell he was a mad cat. You know,

1239
01:13:51,400 --> 01:13:53,639
Speaker 6: the dinner was gone and he wasn't going to catch him.

1240
01:13:54,000 --> 01:13:56,320
Speaker 6: But the bad part of that, I had a little

1241
01:13:56,400 --> 01:13:59,160
Speaker 6: solo tent and I was about two hundred yards camp

1242
01:13:59,200 --> 01:14:01,479
Speaker 6: below o'er that time I was, And then I had

1243
01:14:01,479 --> 01:14:03,479
Speaker 6: to go back and think, now there's a hungry lion

1244
01:14:03,600 --> 01:14:05,559
Speaker 6: wandering around here and I've got to go sleep at

1245
01:14:05,640 --> 01:14:08,599
Speaker 6: night down there, but I never saw him again.

1246
01:14:08,880 --> 01:14:11,240
Speaker 1: It was interesting to watch this one work. That dough

1247
01:14:11,600 --> 01:14:15,679
Speaker 1: is uh. And now once that little fork he came out,

1248
01:14:16,000 --> 01:14:18,360
Speaker 1: maybe my interpretation what was going on, but he was

1249
01:14:18,520 --> 01:14:22,439
Speaker 1: a bobber and she was angling up the hill and

1250
01:14:22,520 --> 01:14:26,000
Speaker 1: he moved and got in the line of travel and

1251
01:14:26,080 --> 01:14:29,920
Speaker 1: laid down. And when he was moving, he's like very obvious,

1252
01:14:29,960 --> 01:14:33,599
Speaker 1: you know, just this orange blur going across, and he stopped.

1253
01:14:34,200 --> 01:14:34,639
Speaker 3: Orange.

1254
01:14:34,760 --> 01:14:36,719
Speaker 1: Those cats did look real orange.

1255
01:14:37,080 --> 01:14:39,760
Speaker 3: And you noticed like the black feet too, walking on.

1256
01:14:39,920 --> 01:14:45,080
Speaker 3: Those black feet were very noticeable, looked huge feet, looked huge.

1257
01:14:46,800 --> 01:14:48,120
Speaker 1: All right, we gotta get back out there.

1258
01:14:49,720 --> 01:14:52,000
Speaker 3: The last push I was wishing I had mingus with me.

1259
01:14:53,040 --> 01:14:55,960
Speaker 1: Oh you'd had a hot track, buddy, you'd had nowhere

1260
01:14:56,000 --> 01:14:56,400
Speaker 1: to trea it.

1261
01:14:57,920 --> 01:15:01,640
Speaker 3: We would have ended up in uh eight up situation.

1262
01:15:01,640 --> 01:15:03,800
Speaker 1: Unless it lest it that thing new to head towards

1263
01:15:03,800 --> 01:15:04,560
Speaker 1: the sycamores.

1264
01:15:05,040 --> 01:15:07,720
Speaker 3: Well sycamores were you know what even that oak that

1265
01:15:07,760 --> 01:15:10,680
Speaker 3: we were huddled under that uh, they could have gotten there.

1266
01:15:10,720 --> 01:15:12,760
Speaker 3: They could have gotten in that and gotten high enough

1267
01:15:12,800 --> 01:15:14,599
Speaker 3: away that the dog couldn't get to it.

1268
01:15:15,000 --> 01:15:18,800
Speaker 1: Yeah, all right, thanks for joining everybody, we're gonna get

1269
01:15:18,800 --> 01:15:20,920
Speaker 1: back out and try one last little try. What's the

1270
01:15:20,960 --> 01:15:27,000
Speaker 1: forecast the rain? I thought it was supposed to get better.

1271
01:15:27,160 --> 01:15:30,519
Speaker 1: I thought it was supposed to get it. Is it

1272
01:15:30,560 --> 01:15:31,639
Speaker 1: actually raining right now?

1273
01:15:32,200 --> 01:15:36,040
Speaker 3: It's one hundred it's one hundred percent. But now it's

1274
01:15:36,040 --> 01:15:39,160
Speaker 3: saying at least that the accumulation is only like point one.

1275
01:15:39,400 --> 01:15:41,599
Speaker 1: Well, the other thing is the ceiling. The ceiling lifted.

1276
01:15:42,160 --> 01:15:43,080
Speaker 6: Yeah, it lightened up.

1277
01:15:43,800 --> 01:15:45,120
Speaker 1: You're gonna be on their feet right now.

1278
01:15:45,800 --> 01:15:47,519
Speaker 3: Felt Up said it's time to go.

1279
01:15:47,840 --> 01:15:50,360
Speaker 1: Felt Before we go, they'll give us quick update phelps

1280
01:15:50,400 --> 01:15:52,280
Speaker 1: game calls. What to look forward to? How's my moves

1281
01:15:52,360 --> 01:15:54,880
Speaker 1: tube coming? It's it's working. We like it.

1282
01:15:55,080 --> 01:15:57,120
Speaker 7: Yeah, we Uh, we had to make a little change.

1283
01:15:57,120 --> 01:15:58,720
Speaker 7: We were trying to do it like handmade. That just

1284
01:15:58,800 --> 01:16:00,559
Speaker 7: wasn't gonna be. We could make one day and it's

1285
01:16:00,600 --> 01:16:01,679
Speaker 7: just not not scalable.

1286
01:16:01,680 --> 01:16:03,240
Speaker 1: So I don't want that. I don't want that job.

1287
01:16:03,439 --> 01:16:05,640
Speaker 1: We did some glass filled nylon. We're gonna make some

1288
01:16:05,720 --> 01:16:06,240
Speaker 1: changes of that.

1289
01:16:06,320 --> 01:16:08,280
Speaker 7: And then we got some new updates to the deer

1290
01:16:08,280 --> 01:16:10,919
Speaker 7: call lines coming and uh, yeah, I'm I'm.

1291
01:16:10,720 --> 01:16:12,679
Speaker 1: You're not too you're not too like worked up about

1292
01:16:12,680 --> 01:16:14,519
Speaker 1: the moose call it's pretty it's like, well, just not

1293
01:16:14,560 --> 01:16:15,879
Speaker 1: a lot of not a lot of customers.

1294
01:16:16,680 --> 01:16:18,760
Speaker 7: It is My good buddy Matt, who's better business than me,

1295
01:16:18,800 --> 01:16:20,680
Speaker 7: would say like not a lot of profit and and

1296
01:16:20,720 --> 01:16:22,240
Speaker 7: a lot of not a lot of you're down on

1297
01:16:22,280 --> 01:16:22,800
Speaker 7: moose calls.

1298
01:16:23,040 --> 01:16:24,400
Speaker 1: No, just just the scalability.

1299
01:16:24,400 --> 01:16:24,439
Speaker 5: No.

1300
01:16:24,600 --> 01:16:26,200
Speaker 2: I told him you got to pick something where you're

1301
01:16:26,200 --> 01:16:28,480
Speaker 2: gonna sell a lot of them. Yeah, a lot of

1302
01:16:28,760 --> 01:16:32,839
Speaker 2: business may make you want for Steve doesn't pay.

1303
01:16:32,640 --> 01:16:35,360
Speaker 1: The bills, so I didn't buy it either.

1304
01:16:37,880 --> 01:16:39,880
Speaker 7: If we're making some changes there, I got some deer calls.

1305
01:16:39,920 --> 01:16:42,360
Speaker 7: I'm really excited for twenty five, which is we're planning

1306
01:16:42,400 --> 01:16:44,160
Speaker 7: you know, years and years out. Twenty four will be

1307
01:16:44,160 --> 01:16:46,880
Speaker 7: cool though, but like twenty five is like a lot

1308
01:16:46,880 --> 01:16:49,439
Speaker 7: of new stuff coming which is long ways out but excellent.

1309
01:16:51,120 --> 01:16:55,200
Speaker 1: We're working on It's uh, I want Phelps. Turkey's gonna

1310
01:16:55,200 --> 01:16:57,800
Speaker 1: do me a pot call where on the on the

1311
01:16:57,400 --> 01:17:00,240
Speaker 1: the the artwork is a turkey giving you the finger

1312
01:17:00,800 --> 01:17:05,400
Speaker 1: with a turkey hand. It's called the Bird the artwork.

1313
01:17:07,200 --> 01:17:08,679
Speaker 2: Claim that copy right right now?

1314
01:17:08,840 --> 01:17:13,280
Speaker 3: Yeah, yeah, because it's not like it's hard to run

1315
01:17:13,320 --> 01:17:14,320
Speaker 3: it in a laser engraver.

1316
01:17:15,360 --> 01:17:17,760
Speaker 1: No, but you gotta be you gotta. I mean, it's

1317
01:17:17,800 --> 01:17:19,280
Speaker 1: hard to come up with an idea like a turkey

1318
01:17:19,320 --> 01:17:21,800
Speaker 1: giving you the finger. Actually not, because it's a quite

1319
01:17:21,880 --> 01:17:25,120
Speaker 1: common bit of my daughter has when we do them

1320
01:17:25,120 --> 01:17:27,400
Speaker 1: like that. If you want to do it, you take

1321
01:17:27,400 --> 01:17:29,120
Speaker 1: your take your turkey. Next time you kill a turkey

1322
01:17:29,320 --> 01:17:31,719
Speaker 1: or your kids kills a turkey, take a rubber band

1323
01:17:32,800 --> 01:17:35,960
Speaker 1: and bend it's two fingers down so it's middle fingers

1324
01:17:36,000 --> 01:17:40,720
Speaker 1: sticking out rubber band, the two fingers down as dry is.

1325
01:17:40,840 --> 01:17:42,800
Speaker 1: Just make sure you straighten that middle finger up a

1326
01:17:42,840 --> 01:17:46,759
Speaker 1: little bit and cock its wrist. So from you listeners

1327
01:17:46,760 --> 01:17:49,200
Speaker 1: that you people watch on YouTube, here's his arm. You

1328
01:17:49,240 --> 01:17:51,280
Speaker 1: cock them up. You go like this, put a rubber

1329
01:17:51,280 --> 01:17:54,800
Speaker 1: band here and just dunk it in a uh in

1330
01:17:54,920 --> 01:17:57,840
Speaker 1: some borax for a few days or not, depends on

1331
01:17:57,880 --> 01:18:00,720
Speaker 1: patient you are. And then eventually you get yourself a

1332
01:18:00,760 --> 01:18:06,760
Speaker 1: little wooden circle, a little plaque, and you drill a

1333
01:18:06,760 --> 01:18:08,840
Speaker 1: hole in it, and you run a screw up through

1334
01:18:08,880 --> 01:18:12,000
Speaker 1: the bottom into the leg and you set it on

1335
01:18:12,040 --> 01:18:14,120
Speaker 1: your desk, and it's a turkey giving you the finger.

1336
01:18:15,360 --> 01:18:17,519
Speaker 3: Are you hanging out when you sit on your desk?

1337
01:18:17,680 --> 01:18:19,559
Speaker 3: Is the bird then going straight up in the air?

1338
01:18:19,680 --> 01:18:21,719
Speaker 1: Yeah, you gotta look down on it for the full effect.

1339
01:18:22,720 --> 01:18:26,200
Speaker 2: My mother, though, my mother in law sent all my

1340
01:18:26,280 --> 01:18:32,480
Speaker 2: kids the finger emoji, you know, at Thanksgivings and Happy Thanksgiving,

1341
01:18:32,520 --> 01:18:34,200
Speaker 2: but she couldn't tell that it was a finger. She

1342
01:18:34,200 --> 01:18:39,040
Speaker 2: thought it was a turkey. My kids are like, you know,

1343
01:18:39,600 --> 01:18:46,800
Speaker 2: grandma's gears are slipping a little bit, happy things giving.

1344
01:18:46,880 --> 01:18:51,480
Speaker 3: Maybe she's eat eater listener. She knows about the Michigan.

1345
01:18:51,080 --> 01:18:56,760
Speaker 1: Hello, rock home from That means what's up? All right,

1346
01:18:57,160 --> 01:18:59,800
Speaker 1: Thanks everybody, We're gonna go. We're gonna go out on time.

1347
01:19:03,479 --> 01:19:10,680
Speaker 8: Read in mouth, say in town, don't get in in

1348
01:19:10,760 --> 01:19:14,320
Speaker 8: a hurry, since you ain't around.

1349
01:19:15,280 --> 01:19:22,200
Speaker 9: The creek's high as it's ever been. You're a blue quail.

1350
01:19:22,680 --> 01:19:29,480
Speaker 8: Look calm, warn all is friends that the shots are stopping.

1351
01:19:29,880 --> 01:19:31,080
Speaker 9: Is ground.

1352
01:19:33,560 --> 01:19:51,760
Speaker 8: Read in most to town, searching the guard in flight.

1353
01:19:54,720 --> 01:20:00,680
Speaker 8: Absence of love makes it hard to find. Got a

1354
01:20:00,800 --> 01:20:08,360
Speaker 8: big ye it all through today, the freshing of ice

1355
01:20:08,520 --> 01:20:18,600
Speaker 8: fans more bean seen say an imaginary Badmas side, searching

1356
01:20:19,320 --> 01:20:27,440
Speaker 8: the garden for life. Your affection for me like a flash.

1357
01:20:27,200 --> 01:20:28,760
Speaker 9: In the pans.

1358
01:20:29,080 --> 01:20:36,920
Speaker 8: It only as long as our flame, darling. We all

1359
01:20:37,080 --> 01:20:39,720
Speaker 8: know how that's sorry ends.

1360
01:20:40,080 --> 01:20:48,040
Speaker 9: So all right, my blues go away our till the

1361
01:20:48,360 --> 01:21:10,120
Speaker 9: end of the day.

1362
01:21:13,360 --> 01:21:17,680
Speaker 8: Spend all night. A picking gets are.

1363
01:21:19,520 --> 01:21:19,800
Speaker 9: Fresh.

1364
01:21:19,880 --> 01:21:25,040
Speaker 8: Smell of leather makes me thank you. Ain't for but

1365
01:21:25,280 --> 01:21:31,400
Speaker 8: your mind set on things much too Faine.

1366
01:21:30,720 --> 01:21:32,600
Speaker 9: Been a comfortbar like me.

1367
01:21:33,240 --> 01:21:42,959
Speaker 8: Underside, I can't wishes on every star. Spend all day.

1368
01:21:43,520 --> 01:21:50,479
Speaker 8: The picking gets are your affection for me, Like a

1369
01:21:50,600 --> 01:21:55,960
Speaker 8: flesh year, the pan lasted only as long as.

1370
01:21:55,680 --> 01:21:56,920
Speaker 2: Our flame.

1371
01:21:58,840 --> 01:21:59,800
Speaker 9: In Orleans.

1372
01:22:00,479 --> 01:22:10,040
Speaker 8: Oh no, that story end alright, silly end day, all right,

1373
01:22:10,760 --> 01:22:25,839
Speaker 8: silly endday.