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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. Okay, everybody, this episode is dedicated to

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Speaker 1: Doug Durn. Oh oh, he's gonna eat this up, this

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Speaker 1: whole thing. Oh dude, stuck Durn's dream. That's because this

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Speaker 1: is a special edition called Ask a Farmer, but it's

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Speaker 1: not any farmer. We're joined by Will Harris, fourth generation

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Speaker 1: farmer of white Oak Pastor in Georgia, now author of

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Speaker 1: a book, A Bold Return to Giving a damn One Farm,

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Speaker 1: Six Generations in the Future of Food. Will Harris is

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Speaker 1: the owner of White Oak Pastures, a holistically managed, regenerative

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Speaker 1: ranch and farm in Georgia's semi tropical coastal plane. You

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Speaker 1: guys raised how many different kinds of animals? Ten lay

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Speaker 1: them out for me.

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Speaker 2: Real cows, hogs, sheep, goats, rabbits, and five poltry species chickens, turkeys, skinners,

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Speaker 2: and ducks.

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Speaker 1: And you run your farm like a like an ecosystem.

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Speaker 2: Here is an ecosystem, yes, and.

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Speaker 1: You live recognizing that and you were We're gonna get

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Speaker 1: into great detail on this. But you guys, family's been

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Speaker 1: on the farm since eighteen sixty. Yeah, I'm the was

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Speaker 1: it eighteen sixty or sixty six.

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Speaker 2: Sixty six? I'm the fourth.

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Speaker 1: Generation, never left, never sold. You guys just been.

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Speaker 2: There, We've been there. My daughters are the fifth and

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Speaker 2: they've got five little beady children who are the sixth.

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Speaker 1: So the sixth generation is on.

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Speaker 2: But the six year Russian hadn't contributed it.

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Speaker 1: They don't do nothing nothing. It's just a testament to

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Speaker 1: kids these days.

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Speaker 2: Right, But their parents, their parents are producers. Got it?

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Speaker 1: Our connection? We have the same agent, Mark Gerald.

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Speaker 2: Yeah, he's great.

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Speaker 1: Did Mark find you?

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Speaker 2: He did? He contracted us.

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Speaker 1: That's happened to me twenty some years ago.

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Speaker 2: And I told him that I couldn't write a book.

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Speaker 2: I didn't know how to read a book. But he persisted,

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Speaker 2: and finally going to stop him. No, he don't stop him.

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Speaker 2: He's in it to win it. Man.

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Speaker 1: So when I met Mark, I thought I had it

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Speaker 1: all figured out. I was living in uh I was

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Speaker 1: living in Wyoming at the time, and I was already

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Speaker 1: writing a book and and I got a call from

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Speaker 1: my editor outside magazine. She said, hey, there is this

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Speaker 1: agent looking for you. I was like, shit, already got

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Speaker 1: an agent. And he was persistent.

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Speaker 3: Man.

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Speaker 1: He got a hold of me and he's basically, here's

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Speaker 1: how we're going to do this.

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Speaker 2: Yeah. He hasn't changed a pit.

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Speaker 1: Yeah, and he's like, this is And I was like, oh, yeah,

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Speaker 1: maybe someday I won't do that. He goes, no, no, no, no, no,

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Speaker 1: no, no no, We're gonna do it right now, strictly like

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Speaker 1: week one, this will happen, Week two, this will happen,

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Speaker 1: Week three, this will happen. I was like, let's see.

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Speaker 1: I actually told starting to be like work.

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Speaker 2: I actually told him no, thank you, I'm not interested.

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Speaker 2: Really didn't. He talk to my daughter and she was

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Speaker 2: interested and had me become interested.

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Speaker 1: Mark went to my bachelor party, did he I had

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Speaker 1: a week long bachelor party.

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Speaker 2: Yeah. I don't know those glomorous.

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Speaker 1: I wasn't either. So we're gonna get into all that. Uh,

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Speaker 1: and it's gonna be big time, asked the farmer. I

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Speaker 1: got some real farming questions for you. Yeah, about land management, uh,

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Speaker 1: animal wealth, fair, why things? Why things were done the

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Speaker 1: way they're done in the agricultural landscape for a long time.

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Speaker 1: Why the agricultural landscape changed so much in the mid

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Speaker 1: nineteen hundreds.

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Speaker 2: Right? Have I got the answer for you?

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Speaker 1: Why did things? Why did agg change so much in

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Speaker 1: the mid nineteen hundreds, And why are farmers some farmers

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Speaker 1: now beginning to look and think that maybe we had

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Speaker 1: things more figured out in the old days than we

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Speaker 1: do in the modern days in some of the trade offfs. First,

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Speaker 1: we got to talk about a couple of quick things,

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Speaker 1: and I'm going to ask you about just general wild wildlife.

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Speaker 1: I'm a cow's not cow's not condos kind of environmentally,

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Speaker 1: I'm not you know what I mean. There's like this

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Speaker 1: whole faction of environmentalism that are anti Kyle. I'm not

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Speaker 1: among them.

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Speaker 2: Good.

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Speaker 1: Yeah, I'm like, I'm too much more pragmatic than that.

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Speaker 1: I want to talk about wildlife onregenitive farms, clean farm practices,

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Speaker 1: dirty farm practices.

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Speaker 2: Right up my alley.

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Speaker 1: Great, we're gonna get to all that. Yanni. First, Yann,

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Speaker 1: you want your daughter got her first buck. My daughter

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Speaker 1: got her first buck.

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Speaker 4: Yeah, yours after you kind of gave her first opportunity

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Speaker 4: away to your son. What do you mean she got mad?

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Speaker 1: That's what she likes to think happened. Is not what happens.

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Speaker 4: That's not what happened when you told the story. That's

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Speaker 4: how I understood it. The buck was kind of getting away,

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Speaker 4: did I tell the story? Yeah, but her and yeah,

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Speaker 4: and as the book is kind of getting away and

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Speaker 4: as opposed to being like, Okay, we're just gonna let

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Speaker 4: him go over the ridge.

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Speaker 1: We already did that one.

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Speaker 4: We're gonna get on him again.

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Speaker 1: That already happened once.

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Speaker 4: Okay, but you could do it.

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Speaker 1: How many times you go bump a buck over ridge?

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Speaker 1: Go find it again?

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Speaker 4: Listen? I don't know. But but instead you said Jimmy

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Speaker 4: and shoot him. Hadn't even come out of your lips,

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Speaker 4: and the gun went off, and what she thought was

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Speaker 4: her buck was now Jimmy's buck.

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Speaker 2: Yeah.

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Speaker 1: He's kind of a wild bill though, you know, like

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Speaker 1: if you say get him, he's gonna get him.

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Speaker 4: Yeah, I understand. I understand. So you took her out again,

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Speaker 4: and she got her first buck.

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Speaker 1: Didn't even let her big brother come. I brought her

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Speaker 1: and her little brother. I brought her and her little

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Speaker 1: brother out and we had a great little hunt. And

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Speaker 1: on her sixth day, her sixth day of kind of

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Speaker 1: more than that if you count just camping traveling, she

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Speaker 1: put in her sixth day of actual like real good

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Speaker 1: wake up before it gets light out hunting, got a

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Speaker 1: buck and she was ecstatic. The one mistake I made,

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Speaker 1: she hit a good hitting lungs, ran up there too quick.

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Speaker 1: I should have said, let's just sit and wait to

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Speaker 1: come minutes.

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Speaker 4: Oh it's still, because it was still.

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Speaker 1: Then you get up there and it's like an know

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Speaker 1: what I mean, right, anything takes a minute to die, sure,

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Speaker 1: I mean, you know usually and she hit it right,

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Speaker 1: you know, she hit.

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Speaker 2: It through the lungs.

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Speaker 1: I just said, okay, now you wait a minute, then

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Speaker 1: we'll go up and have a look. And she'd gone

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Speaker 1: up and been like dead in the door nail. But

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Speaker 1: instead we hustled right over there and she caught it,

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Speaker 1: and you know, you know then I'm like this always happens.

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Speaker 1: It's just it's it's like normally people wait and they

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Speaker 1: don't even see that it happens. But we came up

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Speaker 1: and it's it's just it happens. They're gonna breathe for

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Speaker 1: a minute and they're gonna expire. And it's not that

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Speaker 1: you did anything wrong. You did everything right, but you

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Speaker 1: just witness the thing that would normally be out of

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Speaker 1: sight because it ran over the hill or you wait

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Speaker 1: a minute.

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Speaker 2: She got over it.

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Speaker 1: She's pretty upset.

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Speaker 4: Because she.

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Speaker 1: Wounded it extra harm, didn't hit it right, because she

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Speaker 1: just thought they'd go like in the Westerns, you know,

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Speaker 1: the guy falls off the railing and he's just never

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Speaker 1: even twitches. I think that's what she was expecting.

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Speaker 4: Any tears, yeah, the ones associate with that moment or

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Speaker 4: the tears of getting her first buck.

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Speaker 1: No tears of that. She didn't hit it right. Yeah,

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Speaker 1: it made it softer. Yeah, but then.

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Speaker 4: Because I kind of started crying a little bit and

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Speaker 4: I was like, oh no, what happened? What's going on?

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Speaker 4: And she's just like, I just I can't believe I

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Speaker 4: did it, you know, like pure joy, you know, but

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Speaker 4: tears of joy. So no, yeah, she I was texting

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Speaker 4: with Corinn earlier about it, and she's she said, well,

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Speaker 4: did any mixed emotions as none whatsoever, just like cools

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Speaker 4: of cucumber, happy and boked by it up to and

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Speaker 4: it was like, great, take some pictures, pet it, check

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Speaker 4: it out.

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Speaker 5: You know what.

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Speaker 4: I've a couple of takeaways. This is fresh in my

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Speaker 4: mind because it was not even twenty four hours ago.

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Speaker 4: Is how when kids are around these dead animals, they've

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Speaker 4: seen a lot of them alive. They've seen our kids

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Speaker 4: a lot of them have seen a lot of them dead.

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Speaker 4: But they go up to them and they are just

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Speaker 4: touching and feeling and checking from one end to the other.

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Speaker 4: You don't know the tale, just like so. And I

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Speaker 4: think I don't know why, But as adults, maybe it's

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Speaker 4: because you know, you've already done it, seen a thousand times,

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Speaker 4: and so you kind of skip that part. But I

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Speaker 4: didn't have to tell her to like, oh, take a

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Speaker 4: minute and enjoy the moment, like it was just naturally.

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Speaker 4: She was just doing it. You know, look at the hide,

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Speaker 4: look at the collar. Look how it's ten different colors,

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Speaker 4: but when you stand away from it blends into one.

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Speaker 4: And you know, just all these observations and you know,

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Speaker 4: my daughter, you know, and she gets going. There's a

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Speaker 4: lot of words coming out of there.

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Speaker 5: Maybe she's a future scientist.

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Speaker 4: Yeah, artists, we'll see at some point.

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Speaker 1: My kids are always really eager to see what's in

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Speaker 1: the stomach. Oh, and no amount of checking is going

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Speaker 1: to ever convince them that.

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Speaker 4: It's the same.

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Speaker 1: Totally look like it's gonna look like someone pull up

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Speaker 1: a bunch of the slaughter.

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Speaker 4: She pretty much it herself. I did the I busted

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Speaker 4: open the sternom for so that it'd be easier for

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Speaker 4: her to see what she was doing, right, Because at

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Speaker 4: first I said, yeah, just reach in there, grab the track,

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Speaker 4: you cut it off with your other hand, and yank

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Speaker 4: it all out, and she's like looking in there, and

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Speaker 4: you know you can't see anything. It's gonna be all

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Speaker 4: done by hand. So then I said, all right, let

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Speaker 4: me cut it open. Then you can see what you

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Speaker 4: got going. But yeah, she does the whole thing, and

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Speaker 4: she's like, all right, let's get the heart and the liver.

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Speaker 4: So she got that. I point her in the right

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Speaker 4: direction there and it's all said and done. Buck splayed out,

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Speaker 4: letting him drain. I'm getting ready to go get the

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Speaker 4: uh of the truck, and she's like, oh, can I

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Speaker 4: cut the stomach open now?

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Speaker 1: Like it's like this to find like a little person

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Speaker 1: in there.

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Speaker 4: Or yeah, I don't know what it is, but it's

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Speaker 4: great to see that that curiosity.

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Speaker 1: No, uh, I had so many observations helping my daughter,

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Speaker 1: but the main one is, wow, stuff gets away.

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Speaker 2: Oh yeah, that wouldn't have gotten away.

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Speaker 1: Normally, no opportunity.

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Speaker 6: You know what do you know what?

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Speaker 1: Oh, just you name it, you name it. It's just

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Speaker 1: a lot, it's a lot online. It's just get you know,

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Speaker 1: it's like it's over there and you gotta remember this.

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Speaker 1: And then we did the thing too, dry firing, dry

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Speaker 1: firing on it.

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Speaker 4: On the animal, just everything. Yeah, no, it's a great,

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Speaker 4: great thing.

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Speaker 1: We saw some you know, something dough too far away.

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Speaker 1: We just dry fire on it just to Yeah.

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Speaker 4: It's just it's anything that you do that's uh, I

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Speaker 4: don't know a skill like that. In the beginning, it

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Speaker 4: seems like it's so complicated. There's so many moving parts.

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Speaker 4: There's so you know where you and I just will

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Speaker 4: naturally just shift our whole body as you shift behind

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Speaker 4: the gun. But for them it's just not natural, right,

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Speaker 4: It's it's that and it's just refinding the animal and

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Speaker 4: the scope and I mean she's an hour into the Huh.

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Speaker 4: She's like, I think you would have already shot one.

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Speaker 4: I'm like, yeah, maybe, yeah, there's just there's just a lot.

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Speaker 4: But I think I noticed that too. But at the

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Speaker 4: same time, I was watching her yesterday and I'm like, man,

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Speaker 4: her muzzle control is I don't want to say impeccable,

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Speaker 4: but it's getting there. And just like the way she

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Speaker 4: handles the firearm is getting really good. Like there's no

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Speaker 4: like looking at the bolt and going how does this

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Speaker 4: thing work?

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Speaker 2: Again?

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Speaker 4: Right, there's just been enough repetition where it's all clicking

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Speaker 4: right along and you can see and even like dealing

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Speaker 4: with it. Even though she's never gutted one, she's been

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Speaker 4: part of that enough and she's skinned enough and done

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Speaker 4: all those little pieces that it didn't take us that

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Speaker 4: much longer. You know, then I would have gutted it.

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Speaker 4: I mean maybe twenty minutes instead of ten. But you

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Speaker 4: can see. I think down the line it won't be

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Speaker 4: too long until hopefully, if they keep practicing it, that

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Speaker 4: you won't even need to say anything.

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Speaker 1: Just hold a leg. You know, when you get into

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Speaker 1: a hunting technique, there's all these things like you can

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Speaker 1: go on and you hear people talk about, you know,

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Speaker 1: people instructional people to be like, oh, there's like fitness,

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Speaker 1: you know, there's marksmanship. I mean there's a lot of

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Speaker 1: other stuff that no one's put a name to and

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Speaker 1: no one talks about. But it's just how to be like,

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Speaker 1: what does a deer look like? That ain't gonna stop?

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Speaker 1: What's the deer look like? That's gonna stop in a second?

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Speaker 2: Yeah, you should be ready to shoot it.

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Speaker 1: It's just all this stuff. You're like, you realize, like,

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Speaker 1: no one's ever put this in the way. No one's

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Speaker 1: ever put in the words like what is a deer's demeanor?

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Speaker 1: You know that deer is heading this way and he's

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Speaker 1: clueless that deer does that? Does that see about something

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Speaker 1: that happened a little while ago and he's kind of

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Speaker 1: getting over it?

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Speaker 2: Yeah.

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Speaker 7: I always have a I don't know what it was,

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Speaker 7: but when I was at hunting last week or the

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Speaker 7: week before, it's like every every buck was kind of

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Speaker 7: like tuned up, and every time I'd be like he

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Speaker 7: sees us, and I'm like, no, he doesn't. He's just

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Speaker 7: you know, but it was upset about something earlier, right,

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Speaker 7: Or he's just keyed up and he happens to be

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Speaker 7: looking in that direction, and I happened to be there.

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Speaker 7: And you watch him for a minute, and then all

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Speaker 7: of a sudden, he's looking somewhere else and he's given

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Speaker 7: that bush the same look that he just gave me.

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Speaker 1: Yeah, we would get into that a lot. He was

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Speaker 1: looking she's looking at us. I'm like, well, she is,

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Speaker 1: but she's not. Yeah, right, that's exactly. She's just looking

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Speaker 1: at something past us.

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Speaker 4: But if you wave your arms right now, right at.

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Speaker 1: Us, it won't be coincidental. I had some other observation.

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Speaker 1: I was just saying, Oh, did you carry your daughter's gun?

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Speaker 2: I did not.

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Speaker 1: I have okay, Ina, See, I'm so much meaner to

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Speaker 1: my boys than my daughter. So I was carrying my

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Speaker 1: daughter's gun and my older boy found out. I heard

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Speaker 1: him like, I heard him like, he carried your gun?

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Speaker 1: Are you kidding me?

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Speaker 6: Well?

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Speaker 1: Yeah, nicer to hear her name to you real quick.

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Speaker 1: On the subject of land ownership. So to return to

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Speaker 1: my favorite subject, We've gotten more mileage out of the

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Speaker 1: Wyoming Corner crossing case than any other thing to ever happen.

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Speaker 4: I've gotten a lot of great feedback from that podcast,

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Speaker 4: just text saying how great a lawyer. Yeah, with a lawyer.

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Speaker 4: How great it was to hear him lay it all out.

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Speaker 1: You know a lot of people I was noticing because

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Speaker 1: we have the video of that on YouTube. A lot

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Speaker 1: of people watch that on YouTube. The corner crossing lawyer

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Speaker 1: speaks out. Someone wrote in this is a land surveyor,

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Speaker 1: wrote in backing me up on a point. I got

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Speaker 1: one guy taking me to task, and I got one

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Speaker 1: guy backing me up and response, this is him writing

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Speaker 1: in response to your recent episode with the lawyer from

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Speaker 1: the Corner Crossers, I think it's important to get a

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Speaker 1: little insight from a land surveyor my profession for quite

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Speaker 1: some time now. There's something Steve said in that episode

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Speaker 1: and several other times discussing this issue that cannot be overstated,

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Speaker 1: he continues, and that's that this was a surveyed and

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Speaker 1: verified corner, Meaning the much debated, contentious corner in Wyoming

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Speaker 1: that led to this corner crossing case, who knows could

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Speaker 1: wind up in the US Supreme Court, was a certified

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Speaker 1: and verified corner. So when these individuals use this ladder

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Speaker 1: to jump corners and stay on public land while crossing

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Speaker 1: over two corners of private land, they were doing this

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Speaker 1: on a survey and verified corner. This individual, the surveyor,

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Speaker 1: goes on to say, when most of the section corners

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Speaker 1: were set in the eighteen hundreds, it was marked by

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Speaker 1: either a nearby rock which was then carved and engraved

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Speaker 1: in a specific way, a pile of flat rocks they

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Speaker 1: found and stacked one on another, or they would cut

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Speaker 1: off a branch from a nearby tree and bury that

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Speaker 1: sticking out of the ground and dig four holes round

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Speaker 1: it one due north, east, south and west. Many of

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Speaker 1: these original section corners have been replaced with more modern monuments,

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Speaker 1: most often a three inch aluminum cap on either a

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Speaker 1: pipe or a piece of rebar pounded in the ground.

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Speaker 1: You see these quite often, but others have not knowing this,

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Speaker 1: unless you know exactly what you are looking for, and

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Speaker 1: more importantly, where you are looking for it, you are

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Speaker 1: not going to find the section corner. In his career,

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Speaker 1: he's dealt with the buried branches sticking out of the

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Speaker 1: ground and has noted they last about a year or two,

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Speaker 1: you think. Also on Cal's comment of the surveyor's thinking

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Speaker 1: when setting a corner, a surveyor saying to himself, there's

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Speaker 1: no way anyone is going to use this. He says,

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Speaker 1: that does happen, and I found record of at least

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Speaker 1: one instance where the surveyor quite literally said about here

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Speaker 1: surveying sections is supposed to be a perfect grid with

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Speaker 1: lines running true north south in east west, with intersections

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Speaker 1: every five, two and eighty feet, but that is never

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Speaker 1: ever the case. Finally, on the comment, he says, I

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Speaker 1: can't remember who said it of on X not being

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Speaker 1: one hundred percent accurate to take you to the section corner.

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Speaker 1: I personally have witnessed on X being forty feet off

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Speaker 1: their sectioned corners. But what he goes on to clarify

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Speaker 1: not is gonna. I'm gonna. I'm gonna paraphrase him. This

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Speaker 1: isn't even a non X issue. Your phone isn't Your

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Speaker 1: phone isn't that accurate. Your smartphone isn't really accurate much

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Speaker 1: better than a sixteen foot radius. So for you to

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Speaker 1: be jumping corners based off of your phone, or to

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Speaker 1: be trusting fences, there's how I accurate the information and

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Speaker 1: how I accurate the phone. Sincerely, Lanserver. Another guy reached out,

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Speaker 1: I was saying that I could always look at a

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Speaker 1: feller and.

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Speaker 4: See hold on, I got a quick little retort to

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Speaker 4: him or retort him. Not so much that, but I

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Speaker 4: just wanted someone to clarify this. When I read that email,

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Speaker 4: I got to thinking, well, if the landowners there have

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Speaker 4: set fences, aren't they in some way saying this is

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Speaker 4: where I believe this corner is and sort of setting

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Speaker 4: a precedent of where this corner is and has been.

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Speaker 4: They're not.

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Speaker 1: No, I saw a fence the other day that was

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Speaker 1: wildly off because for him to make it on his

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Speaker 1: borderline like in this case, it was to the advantage.

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Speaker 1: It was to the the advantage of to the advantage

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Speaker 1: of was it. No, no, no, no, Sorry. We were where

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Speaker 1: BLM came up against the ranch yep, and it was

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Speaker 1: a bunch of it was a bunch of bad lands,

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Speaker 1: and he owned a bunch of the bad lands. But

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Speaker 1: just ran it sure along the bench and there was

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Speaker 1: corners in there, and it was like and you went

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Speaker 1: up to it thing and and it was just a

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Speaker 1: matter of convenience where you run fences. So I don't

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Speaker 1: think that. I just think that, like these things weren't

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Speaker 1: on anyone's mind, you know, no.

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Speaker 4: One hundred percent. No, I'm just trying to figure out

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Speaker 4: like in because everybody because they're saying, yeah, don't try

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Speaker 4: to cross this corner unless you have go and have

396
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Speaker 4: it surveyed. Right, But I'm just saying, if it was

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Speaker 4: let's say it wasn't bad Lands, and you're in a

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Speaker 4: prairie and someone has set these this corner to the

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Speaker 4: best of their knowledge, can we always agree that it's

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Speaker 4: to the best of our knowledge you're going to cross

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Speaker 4: the corner where the corner is.

402
00:21:00,119 --> 00:21:03,120
Speaker 1: In looking at what these fellas are going through into Wyoming,

403
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Speaker 1: you would the assumptions about anything.

404
00:21:05,320 --> 00:21:07,840
Speaker 5: But I think what Yannis is, what Yanni is saying

405
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Speaker 5: is that, like if whether that placement of the fence

406
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Speaker 5: is in actuality, uh, the right corner or not, the

407
00:21:21,080 --> 00:21:24,200
Speaker 5: point is that that landowner, whether it's to the benefit

408
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Speaker 5: of the public or to the benefit of himself, put

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Speaker 5: something there that is like the physical signifier to anyone

410
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Speaker 5: who might be thinking to cross that. That's right. So

411
00:21:34,600 --> 00:21:37,919
Speaker 5: it's like the intention behind it, right, You're not to understand.

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Speaker 1: But if you're going to go into a court in

413
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Speaker 1: this case, going to Wyoming, and there's a guy saying

414
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Speaker 1: that he's taking you to civil court over seven million dollars,

415
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Speaker 1: I'd like to think that I was on a surveyed

416
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Speaker 1: corner and not have an added wrinkle beat buddy, that

417
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Speaker 1: that fence and even on my corner you can have

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Speaker 1: the landowner to Yeah, I mean I think there's two landowners.

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Speaker 7: I mean the fence thing is like completely arbitrary, Like

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Speaker 7: you could you could just build you know, if you

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Speaker 7: owned a ranch, you have every right to build a

422
00:22:08,320 --> 00:22:10,400
Speaker 7: you know, a section of fence wherever you want on it.

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Speaker 1: Right, and in this corner was this morn is not even

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Speaker 1: fence that we're talking about.

425
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Speaker 7: Yeah, And it's so it's not like it's you can't

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Speaker 7: just assume that because the fence exists, that's where the

427
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Speaker 7: private landowner believes the boundary is.

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Speaker 1: Like, that's a pretty big leap of Maybe it's his

429
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Speaker 1: neighbor spence. Yeah, might be his spence, or it might

430
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Speaker 1: be the governments, or.

431
00:22:28,160 --> 00:22:31,040
Speaker 7: The previous owner built the fence, and the previous owner

432
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Speaker 7: didn't know.

433
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Speaker 4: It's just you seem to see who they sort of

434
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Speaker 4: eventually they're gonna have to say, hey, it's someone's responsibility, Yeah,

435
00:22:39,160 --> 00:22:40,480
Speaker 4: to get these things surveyed.

436
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Speaker 1: I can see all kinds of implications. One of the

437
00:22:42,280 --> 00:22:44,040
Speaker 1: implications I can see down the road is if this,

438
00:22:44,200 --> 00:22:46,560
Speaker 1: if this goes and it gets like just settled in

439
00:22:46,600 --> 00:22:49,600
Speaker 1: some outright way, Yeah, I'm not doing any corner crossing

440
00:22:49,600 --> 00:22:51,760
Speaker 1: because I'm too it's too it feels too up in.

441
00:22:51,760 --> 00:22:52,240
Speaker 2: The air.

442
00:22:54,400 --> 00:22:55,480
Speaker 4: Until it's further settled.

443
00:22:55,600 --> 00:22:57,639
Speaker 1: I'm saying, if it ever got settled, if it was

444
00:22:57,680 --> 00:22:59,920
Speaker 1: just settled and the courts decided and it was lit

445
00:23:00,080 --> 00:23:02,840
Speaker 1: gated and the law the land was laid out, that

446
00:23:02,920 --> 00:23:06,879
Speaker 1: corner crossing is legal, I would think that, like I

447
00:23:06,880 --> 00:23:11,359
Speaker 1: would be, I would be raising money. I would be

448
00:23:11,440 --> 00:23:16,840
Speaker 1: raising money to survey strategic corners, like to to find

449
00:23:17,520 --> 00:23:23,760
Speaker 1: to codify in very strategic locations those places. But I

450
00:23:23,880 --> 00:23:27,000
Speaker 1: just keep as people are getting in, you know, pushing

451
00:23:27,040 --> 00:23:29,760
Speaker 1: these boundaries. I just think it's I keep reminding people

452
00:23:30,400 --> 00:23:35,399
Speaker 1: that where this happened was a surveyed corner and that

453
00:23:35,640 --> 00:23:40,440
Speaker 1: you can't go by h you know, to really actually

454
00:23:40,480 --> 00:23:43,600
Speaker 1: be like placing your feet is very precise.

455
00:23:43,760 --> 00:23:45,680
Speaker 4: Have you heard from like any of our game warned

456
00:23:45,720 --> 00:23:50,040
Speaker 4: buddies here in this in Montana if the if corner

457
00:23:50,080 --> 00:23:54,600
Speaker 4: crossing or trespassing is on the rise in like this hunting.

458
00:23:54,520 --> 00:23:57,680
Speaker 1: I haven't heard of anybody prosecuting it this year, and

459
00:23:57,720 --> 00:23:59,240
Speaker 1: there's no way it didn't happen this year, but I

460
00:23:59,240 --> 00:24:01,600
Speaker 1: haven't heard of it. Good would be a good question.

461
00:24:02,160 --> 00:24:04,920
Speaker 1: I want to move on. You find randal. Yeah, yeah, no,

462
00:24:05,000 --> 00:24:08,760
Speaker 1: there wasn't. There was a case up in h up

463
00:24:08,800 --> 00:24:10,840
Speaker 1: By Towns in a corner crossing case.

464
00:24:10,920 --> 00:24:13,840
Speaker 7: Yeah, there's and there's some other you know, like some

465
00:24:13,880 --> 00:24:16,720
Speaker 7: claims were made that the individual had trespassed. It's kind

466
00:24:16,760 --> 00:24:20,719
Speaker 7: of I think it was still the details were fuzzy

467
00:24:20,760 --> 00:24:23,399
Speaker 7: for a little bit while the while the legal system

468
00:24:23,440 --> 00:24:26,000
Speaker 7: sorted things out. I think the charges were dropped, but

469
00:24:26,200 --> 00:24:28,879
Speaker 7: that was like in the in the headlines, it was

470
00:24:28,920 --> 00:24:30,480
Speaker 7: sort of a corner crossing.

471
00:24:31,880 --> 00:24:33,240
Speaker 1: Related dispute.

472
00:24:33,359 --> 00:24:35,280
Speaker 7: But I don't really know enough about it to get

473
00:24:35,280 --> 00:24:36,119
Speaker 7: into the details.

474
00:24:36,359 --> 00:24:38,960
Speaker 1: Now, I know in this state there is an organization

475
00:24:39,200 --> 00:24:43,960
Speaker 1: gearing up to fight corner crossing mm hmm. And there

476
00:24:43,800 --> 00:24:47,679
Speaker 1: they're getting ready to spend spend money on a public

477
00:24:47,680 --> 00:24:50,440
Speaker 1: campaign to turn people off to the idea that you'd

478
00:24:50,480 --> 00:24:56,840
Speaker 1: be able to corner across. I have posited, is that

479
00:24:56,840 --> 00:24:57,800
Speaker 1: the right use of that word?

480
00:24:58,080 --> 00:24:58,720
Speaker 2: Yeah?

481
00:24:58,760 --> 00:25:00,199
Speaker 1: But I can look at a fell and tell these

482
00:25:00,200 --> 00:25:08,280
Speaker 1: snores now with with nine accuracy, do you think will

483
00:25:09,200 --> 00:25:13,440
Speaker 1: I'm not gonna do that? Well, I found out recently

484
00:25:13,440 --> 00:25:15,200
Speaker 1: that I was at a ear nose and throat doctor

485
00:25:15,200 --> 00:25:18,040
Speaker 1: and they measure your neck and they're measuring my neck

486
00:25:18,160 --> 00:25:20,320
Speaker 1: like like you're at a tailor. And I said, what

487
00:25:20,359 --> 00:25:21,639
Speaker 1: do you measure my neck for it? And they're like,

488
00:25:21,680 --> 00:25:23,240
Speaker 1: has to do a sleep apne issues. I'm like, what

489
00:25:23,240 --> 00:25:26,159
Speaker 1: do you mean? They said, a sixteen inch neck, A

490
00:25:26,280 --> 00:25:28,680
Speaker 1: sixteen inch neck is more likely to have sleep apnea?

491
00:25:29,119 --> 00:25:32,119
Speaker 5: Wait, is that like on the smaller end or the

492
00:25:32,240 --> 00:25:36,320
Speaker 5: larger end, like I gather it's larger sixteen inch neck

493
00:25:37,000 --> 00:25:40,280
Speaker 5: like around or like six inch circumference.

494
00:25:40,560 --> 00:25:44,359
Speaker 1: You know your waiste measurement from your parents, right, so

495
00:25:47,000 --> 00:25:49,199
Speaker 1: that's how Yeah, they just put it. They put a

496
00:25:49,240 --> 00:25:51,119
Speaker 1: tape around your neck and I was like, why the

497
00:25:51,160 --> 00:25:54,239
Speaker 1: hell are you doing that. Will's button his shirt up

498
00:25:55,560 --> 00:25:58,040
Speaker 1: and they were saying that that's a that's a they're

499
00:25:58,080 --> 00:25:59,919
Speaker 1: trying to they're looking at how likely are you to

500
00:26:00,160 --> 00:26:02,640
Speaker 1: sleep apnea? And they said a sixth that they take

501
00:26:02,800 --> 00:26:06,080
Speaker 1: notice at a sixteen inch neck, So I thought was

502
00:26:06,160 --> 00:26:07,200
Speaker 1: really surprising.

503
00:26:07,520 --> 00:26:10,840
Speaker 4: And but it ends there or goes sixteen in up

504
00:26:10,920 --> 00:26:12,159
Speaker 4: sixteen and up got it?

505
00:26:12,280 --> 00:26:16,080
Speaker 1: Okay, Greater than sixteen is like some marker for them

506
00:26:16,240 --> 00:26:19,520
Speaker 1: to be like, oh, let's ask a bunch of questions

507
00:26:19,520 --> 00:26:20,439
Speaker 1: about sleep apnia.

508
00:26:20,920 --> 00:26:23,360
Speaker 4: Average is fifteen according to the Internet.

509
00:26:23,680 --> 00:26:26,359
Speaker 1: Now, this guy says reaching out because Steve mentioned in

510
00:26:26,400 --> 00:26:28,560
Speaker 1: an episode that he can now look at people and

511
00:26:28,640 --> 00:26:31,320
Speaker 1: guess if they have sleep apnea or suffer from snoring.

512
00:26:32,200 --> 00:26:34,159
Speaker 1: It's not all that far off. This is from a

513
00:26:34,240 --> 00:26:40,520
Speaker 1: dentist a dds. While we definitely see a correlation with

514
00:26:40,640 --> 00:26:43,920
Speaker 1: next circumference in sleep apnea snoring, one can also see

515
00:26:43,960 --> 00:26:47,320
Speaker 1: snoring in sleep apnea in the shape of the jaw,

516
00:26:50,400 --> 00:26:52,159
Speaker 1: which I didn't I also didn't know that's what I

517
00:26:52,160 --> 00:26:59,439
Speaker 1: was looking at him. Out over the past one thousand years,

518
00:27:00,640 --> 00:27:03,959
Speaker 1: we have seen that about twenty five percent of the

519
00:27:04,040 --> 00:27:08,359
Speaker 1: population has seen a gradual decrease in jaw size, both

520
00:27:08,520 --> 00:27:11,360
Speaker 1: maxillary and mandibler mandibular.

521
00:27:11,800 --> 00:27:14,640
Speaker 5: I think it's mandibular. He also didn't cite the source, but.

522
00:27:14,800 --> 00:27:17,920
Speaker 1: According to archaeological evidence one thousand years. Well, I know

523
00:27:18,119 --> 00:27:20,800
Speaker 1: it's getting a little science y. I really got you, Phil.

524
00:27:21,160 --> 00:27:23,720
Speaker 8: Well, it's just it's mainly because Krein has it in

525
00:27:23,760 --> 00:27:26,520
Speaker 8: the notes that like, please say, this is just a theory.

526
00:27:26,680 --> 00:27:31,320
Speaker 1: Well, it's getting a little sciencey because over the past

527
00:27:31,400 --> 00:27:34,280
Speaker 1: one thousand years we have seen that about twenty five

528
00:27:34,320 --> 00:27:40,040
Speaker 1: percent of the population has It's like, who a thousand

529
00:27:40,119 --> 00:27:44,560
Speaker 1: years ago? Oh, I guess skeletal remains. Okay, I'm gonna

530
00:27:44,560 --> 00:27:46,040
Speaker 1: take it him at face value. He's a sign, he's

531
00:27:46,080 --> 00:27:51,000
Speaker 1: a doctor. Well, dyes, you know. According to archaeological evidence,

532
00:27:51,000 --> 00:27:54,320
Speaker 1: he goes on. One thousand years ago, there was much

533
00:27:54,320 --> 00:27:58,359
Speaker 1: more room for teeth, including wisdom, and there was not

534
00:27:58,440 --> 00:28:01,480
Speaker 1: as much crowding in tea as we see now. The

535
00:28:01,520 --> 00:28:04,600
Speaker 1: working theory is that because we have domesticated the majority

536
00:28:04,600 --> 00:28:08,200
Speaker 1: of our food supply and have selectively bred for hyper

537
00:28:08,320 --> 00:28:12,359
Speaker 1: palatable and easily chewed foods, the body no longer needs

538
00:28:12,400 --> 00:28:17,399
Speaker 1: to build a large lower face to support chewing dense materials.

539
00:28:17,520 --> 00:28:20,359
Speaker 4: If you're wondering what that is, that's that plain ass,

540
00:28:20,560 --> 00:28:23,879
Speaker 4: boring chicken breast that we get served all the time.

541
00:28:24,640 --> 00:28:28,480
Speaker 1: I'm finding myself clenching right now. Accentrate my jaw.

542
00:28:30,040 --> 00:28:32,160
Speaker 4: You don't have to because you chew on elk so much.

543
00:28:34,760 --> 00:28:40,960
Speaker 1: I can't read like this. So the smaller jaw and

544
00:28:41,120 --> 00:28:44,240
Speaker 1: increase in overall size of the human Oh so, okay,

545
00:28:44,360 --> 00:28:47,360
Speaker 1: we've gotten bigger, jaws have gotten smaller, has created a

546
00:28:47,360 --> 00:28:51,800
Speaker 1: mismatch that's interesting and has pushed the tongue into the

547
00:28:51,840 --> 00:28:56,440
Speaker 1: back of the throat, thus creating a more collapsible upper airway.

548
00:28:57,440 --> 00:29:01,600
Speaker 1: This produces snoring and sleep apnea. We treat the disease

549
00:29:01,720 --> 00:29:07,040
Speaker 1: with either a sea PAP or what I do, a

550
00:29:07,200 --> 00:29:09,560
Speaker 1: mandibular repositioning device.

551
00:29:10,680 --> 00:29:12,600
Speaker 5: Hope this helps, which is a night guard.

552
00:29:13,080 --> 00:29:16,000
Speaker 4: I wonder if that tongue going farther back into your

553
00:29:17,520 --> 00:29:23,160
Speaker 4: airway there, if that makes it harder or easier to

554
00:29:23,160 --> 00:29:25,400
Speaker 4: to uh what's the term when you're diving and you

555
00:29:25,480 --> 00:29:28,640
Speaker 4: gotta oh clear clear.

556
00:29:28,880 --> 00:29:33,800
Speaker 1: Yeah. This is an argument that if you want to

557
00:29:33,840 --> 00:29:37,480
Speaker 1: stop snoring in this country, cut your jerky with the grain,

558
00:29:38,800 --> 00:29:41,480
Speaker 1: not against the grain, you know, get in the gym

559
00:29:41,520 --> 00:29:42,520
Speaker 1: and do whatever.

560
00:29:42,600 --> 00:29:45,440
Speaker 7: You get some you know, like a those band, the

561
00:29:45,520 --> 00:29:47,240
Speaker 7: resistance band, and train your jaw.

562
00:29:47,520 --> 00:29:49,040
Speaker 1: Yeah, or just put jerky in the gym.

563
00:29:52,520 --> 00:29:55,800
Speaker 2: I'm just I'm just hypothesized, and that that may be

564
00:29:55,920 --> 00:29:57,440
Speaker 2: why y'all talk so funny.

565
00:30:02,880 --> 00:30:14,800
Speaker 1: Nailed it, Okay, last bit of last bit of feedback,

566
00:30:14,800 --> 00:30:16,200
Speaker 1: and then we're gonna get onto it. We're gonna give

567
00:30:16,320 --> 00:30:20,480
Speaker 1: our guests is due, is at this point overdue a

568
00:30:20,520 --> 00:30:24,320
Speaker 1: lotment of time. Here's my thoughts on why Steve is

569
00:30:24,320 --> 00:30:27,320
Speaker 1: wrong about gluten allergy and conservatives. Now, I was recently.

570
00:30:27,400 --> 00:30:29,840
Speaker 1: I have been saying for years, and I've been stating

571
00:30:29,880 --> 00:30:35,920
Speaker 1: it as though it was a fact that I felt that. Well, no,

572
00:30:36,080 --> 00:30:44,959
Speaker 1: I acted like I had read this somewhere.

573
00:30:40,120 --> 00:30:43,719
Speaker 4: You ready in your diary.

574
00:30:44,720 --> 00:30:47,360
Speaker 1: I felt, just by my exposure to the world that

575
00:30:47,480 --> 00:30:51,920
Speaker 1: I felt that the gluten allergies were decided, like like

576
00:30:52,040 --> 00:30:55,640
Speaker 1: the left leaning people had a far greater likelihood I

577
00:30:55,720 --> 00:30:57,920
Speaker 1: had in gluten allergies, so much so that I didn't

578
00:30:57,960 --> 00:30:59,719
Speaker 1: bother to look it up. Well, Spencer looked it up.

579
00:30:59,720 --> 00:31:05,720
Speaker 1: And conservatives are more likely to believe in ghosts, also

580
00:31:05,840 --> 00:31:10,280
Speaker 1: surprise me, And the conservatives are far more likely to

581
00:31:10,360 --> 00:31:13,520
Speaker 1: order their steak medium rare, and they're no more likely

582
00:31:13,600 --> 00:31:20,479
Speaker 1: to have a gluten intolerance. You're at the medium rare thing.

583
00:31:20,560 --> 00:31:23,520
Speaker 1: The medium rare thing is overwhelming medium rare.

584
00:31:23,720 --> 00:31:28,440
Speaker 5: But you know, all of like well, in at least

585
00:31:28,440 --> 00:31:31,520
Speaker 5: in South Africa, everyone likes their meat cooked.

586
00:31:32,200 --> 00:31:34,480
Speaker 1: Probably because probably because of food handling. And you know,

587
00:31:34,560 --> 00:31:36,800
Speaker 1: I mean anywhere you go in the in the can

588
00:31:36,800 --> 00:31:39,280
Speaker 1: you still say developing world? What are you supposed to

589
00:31:39,320 --> 00:31:39,600
Speaker 1: call it?

590
00:31:40,040 --> 00:31:40,720
Speaker 5: I think so.

591
00:31:40,680 --> 00:31:42,800
Speaker 1: Anywhere you go in the developing world, man, there's a

592
00:31:42,800 --> 00:31:44,480
Speaker 1: lot of overcooked stuff.

593
00:31:45,720 --> 00:31:50,000
Speaker 4: Yeah for a reason, Yeah, fall on the meat temperature scale.

594
00:31:50,640 --> 00:31:53,640
Speaker 1: No, no, no, he just said what the most common

595
00:31:53,800 --> 00:31:57,400
Speaker 1: so in in the most common ordered steak is medium rare.

596
00:31:57,920 --> 00:32:01,920
Speaker 1: But it winds up being that like like conservatives or

597
00:32:02,120 --> 00:32:04,680
Speaker 1: sixty four do you remember what it was? Sixty four

598
00:32:04,680 --> 00:32:07,880
Speaker 1: percent more likely to order a medium rare steak. Anyways,

599
00:32:07,880 --> 00:32:09,520
Speaker 1: this guy goes on to say I didn't know this.

600
00:32:11,440 --> 00:32:14,600
Speaker 1: He says, there's a conspiracy theory floating around or No, no,

601
00:32:15,000 --> 00:32:20,440
Speaker 1: there is a conspiracy theorist level correlation. I got to

602
00:32:20,520 --> 00:32:26,600
Speaker 1: unpack that sentence. Yeah, Krins trying to throw in hyphens

603
00:32:26,640 --> 00:32:28,880
Speaker 1: to make it may more, just to put some she

604
00:32:29,000 --> 00:32:33,120
Speaker 1: just randomly throwing hyphens in there. There is a conspiracy

605
00:32:33,320 --> 00:32:35,880
Speaker 1: theorist No, you did the hyphen in the real place, right,

606
00:32:37,080 --> 00:32:42,840
Speaker 1: There is a conspiracy theorist level correlation between the consumption

607
00:32:42,960 --> 00:32:48,880
Speaker 1: and exposure to glyphosate commonly marketed as round up. Is

608
00:32:48,880 --> 00:32:51,040
Speaker 1: that is that? Farewell? Did I say that?

609
00:32:51,120 --> 00:32:51,320
Speaker 2: Right?

610
00:32:51,360 --> 00:32:56,440
Speaker 1: That glyphosate is round up? It is round up? Uh,

611
00:32:57,400 --> 00:33:01,000
Speaker 1: the only widely available glypho say, or is it just

612
00:33:01,080 --> 00:33:02,200
Speaker 1: that's just a product name?

613
00:33:02,560 --> 00:33:02,960
Speaker 2: They had.

614
00:33:03,000 --> 00:33:09,600
Speaker 3: They had the the patent that molecule for a long time. Okay,

615
00:33:09,760 --> 00:33:12,000
Speaker 3: and I think there may be some knockoffs, but yes,

616
00:33:12,080 --> 00:33:13,160
Speaker 3: they own that market.

617
00:33:13,280 --> 00:33:15,920
Speaker 1: So like round up, you would say is gleipel.

618
00:33:15,640 --> 00:33:19,520
Speaker 2: Yeah, which used to be Moncente. There's now bear, got it?

619
00:33:19,640 --> 00:33:24,800
Speaker 1: Bear? Mhmm, there's a Okay, and I can read that

620
00:33:24,840 --> 00:33:27,920
Speaker 1: part again. To my understanding, the more exposure to round

621
00:33:27,960 --> 00:33:30,480
Speaker 1: up you have. Now this now we are way into

622
00:33:30,600 --> 00:33:33,160
Speaker 1: areas where I am not here to verify any of this.

623
00:33:34,280 --> 00:33:35,760
Speaker 1: I'm not saying it's just because I'm not saying this

624
00:33:35,840 --> 00:33:38,360
Speaker 1: from a legal exposure standpoint. I'm just saying this from like,

625
00:33:38,520 --> 00:33:46,720
Speaker 1: I don't know this. This gentleman, uh Whalen. Of course,

626
00:33:46,800 --> 00:33:50,160
Speaker 1: this guy's name was Whalen. I love this guy. To

627
00:33:50,200 --> 00:33:52,200
Speaker 1: my understanding, the more exposure to round up you have

628
00:33:52,240 --> 00:33:55,960
Speaker 1: the higher chance of developing a gluten allergy. Then he

629
00:33:55,960 --> 00:33:59,040
Speaker 1: goes down to say, if we are making far fetch correlations,

630
00:33:59,080 --> 00:34:02,880
Speaker 1: to which I would say, are we? If we are

631
00:34:02,920 --> 00:34:06,160
Speaker 1: making far fetch correlations, then it is easy to assume

632
00:34:06,240 --> 00:34:09,680
Speaker 1: those in rural areas, farmers, land managers, and general folks

633
00:34:09,719 --> 00:34:13,560
Speaker 1: living around farms and ranches are at a higher exposure

634
00:34:13,640 --> 00:34:17,200
Speaker 1: rate of glyphosate due to farming practices and availability of

635
00:34:17,239 --> 00:34:20,960
Speaker 1: the chemical. I once walked into our local egg office

636
00:34:20,960 --> 00:34:23,880
Speaker 1: to get some mean chemical that you needed a permit

637
00:34:23,920 --> 00:34:26,400
Speaker 1: to buy the nice. This is not me, this the

638
00:34:26,400 --> 00:34:28,920
Speaker 1: gentleman that rode in. The nice lady asked me what

639
00:34:29,080 --> 00:34:33,880
Speaker 1: account to put it under, and after listing four different farmers,

640
00:34:34,760 --> 00:34:38,280
Speaker 1: we found one that had a permit. After I paid,

641
00:34:38,480 --> 00:34:41,319
Speaker 1: I called my buddy whose account it was on, to

642
00:34:41,400 --> 00:34:44,040
Speaker 1: tell him what I did, and his response was, I

643
00:34:44,080 --> 00:34:46,040
Speaker 1: got a barrel of it. You should have come and

644
00:34:46,080 --> 00:34:50,040
Speaker 1: gotten what you needed from me. To wrap up the correlation.

645
00:34:50,120 --> 00:34:53,680
Speaker 1: If we believe, if he says, if we like bringing

646
00:34:53,719 --> 00:34:57,880
Speaker 1: me into this, if we believe that roundup causes gluten intolerance,

647
00:34:57,960 --> 00:35:03,719
Speaker 1: and by which he means it, he believes roundup is

648
00:35:03,760 --> 00:35:07,839
Speaker 1: widely available for rural folks. Most rural folks are conservatives,

649
00:35:07,840 --> 00:35:10,040
Speaker 1: then it's easy to see more conservatives would have a

650
00:35:10,080 --> 00:35:13,560
Speaker 1: gluten analergy. My source on my theory.

651
00:35:13,600 --> 00:35:18,720
Speaker 8: Here we go finally, his mother in law. Of course,

652
00:35:18,800 --> 00:35:23,640
Speaker 8: no one person, one subject, my source on my theory.

653
00:35:23,680 --> 00:35:25,840
Speaker 1: My mother in law spent twenty years living in a

654
00:35:25,880 --> 00:35:29,239
Speaker 1: bottom surrounded by crop farms. Now this is this is

655
00:35:29,280 --> 00:35:33,600
Speaker 1: the best detail of this whole letter their guard. This

656
00:35:33,640 --> 00:35:40,719
Speaker 1: is incredible. What they would need to tarp their garden

657
00:35:43,280 --> 00:35:47,120
Speaker 1: when the surrounding farmers were spraying crops because wind drift

658
00:35:47,160 --> 00:35:53,719
Speaker 1: would kill the garden. He goes on to say she

659
00:35:53,920 --> 00:35:57,120
Speaker 1: has a gluten allergy. What else could it cause that?

660
00:35:58,360 --> 00:36:00,840
Speaker 1: And she goes on to say that in terms of

661
00:36:00,880 --> 00:36:05,280
Speaker 1: her political leanings, she has three flags, a du flag,

662
00:36:06,160 --> 00:36:12,839
Speaker 1: Old Glory, and a Trump twenty twenty case closed. That's see,

663
00:36:12,840 --> 00:36:14,520
Speaker 1: he's just a scent that instead of sending to us,

664
00:36:14,560 --> 00:36:16,760
Speaker 1: he should have sent that to the journal science.

665
00:36:17,000 --> 00:36:18,879
Speaker 4: Yeah, I think the USDA.

666
00:36:19,239 --> 00:36:21,960
Speaker 1: Maybe he could have gotten that. He's just sent that

667
00:36:22,080 --> 00:36:23,320
Speaker 1: to a peer reviewed.

668
00:36:23,320 --> 00:36:25,960
Speaker 2: So then you know, somebody should calls attention to the

669
00:36:26,000 --> 00:36:32,000
Speaker 2: fact that golf courses, municipalities, parks tremendous amount around up

670
00:36:32,040 --> 00:36:35,600
Speaker 2: as she used in the non ag sector. Incredibles, they're

671
00:36:35,719 --> 00:36:40,839
Speaker 2: labels for it either, they're not AG labels. So yeah,

672
00:36:40,880 --> 00:36:42,880
Speaker 2: I'm sure more of it she used in the fields,

673
00:36:42,880 --> 00:36:46,080
Speaker 2: but a lot of it she used in municipal situations.

674
00:36:46,120 --> 00:36:50,560
Speaker 1: Since ron that subject, let's talk about I want to

675
00:36:50,600 --> 00:36:54,880
Speaker 1: ask you some questions about herbicides. Uh, just on the

676
00:36:54,920 --> 00:36:56,360
Speaker 1: thing of Ronald, I have one's had it. Tell me

677
00:36:56,440 --> 00:36:57,920
Speaker 1: a guy, tell me and you might be able to

678
00:36:57,920 --> 00:37:01,920
Speaker 1: tell me how true this is. That one roundup became available.

679
00:37:03,840 --> 00:37:06,800
Speaker 1: Its promise was that it was that it was less

680
00:37:06,840 --> 00:37:11,200
Speaker 1: toxic than coffee, absolutely, and someone saw me that you

681
00:37:11,400 --> 00:37:14,000
Speaker 1: that that that people would take a sip.

682
00:37:14,880 --> 00:37:19,759
Speaker 2: I've seen the Monsanto rip take a sip. Yes, okay,

683
00:37:19,800 --> 00:37:22,160
Speaker 2: so that's true in the early seventies. Y, yes, I.

684
00:37:22,080 --> 00:37:23,719
Speaker 1: Heard that was true. And that was the thing is

685
00:37:23,760 --> 00:37:26,040
Speaker 1: like if there was dangerous you know what, I do this.

686
00:37:27,560 --> 00:37:30,120
Speaker 2: Well, but nobody really worried about it being dangerous in

687
00:37:30,120 --> 00:37:32,720
Speaker 2: that era, but they would do it just to show

688
00:37:32,760 --> 00:37:41,279
Speaker 2: how safe and uh benign it was. Yeah, I remember it.

689
00:37:42,200 --> 00:37:44,080
Speaker 1: You probably used it in your career quite a bit.

690
00:37:44,200 --> 00:37:48,759
Speaker 2: Oh yes, a lot. And we're not without gloves or

691
00:37:49,000 --> 00:37:54,440
Speaker 2: masks or goggles or any of the covering. It was

692
00:37:54,480 --> 00:37:57,960
Speaker 2: just a matter of fact. I was in the custom

693
00:37:58,080 --> 00:38:00,680
Speaker 2: spraying business for a period of time when I was

694
00:38:00,880 --> 00:38:05,080
Speaker 2: uber industrial spraying crops, and I had people hired to

695
00:38:05,200 --> 00:38:10,319
Speaker 2: sprayed round up another purposide and such as pecicide you

696
00:38:10,360 --> 00:38:11,680
Speaker 2: know what side means, right.

697
00:38:12,840 --> 00:38:24,040
Speaker 1: And fanticide, fracture, sideticide, homicide, kill kill, you know, we

698
00:38:24,160 --> 00:38:26,120
Speaker 1: ought to start besides the round up as I think

699
00:38:26,120 --> 00:38:28,520
Speaker 1: we should start with the history of you guys, your farm.

700
00:38:29,840 --> 00:38:32,799
Speaker 1: That probably be a smarter place to start because you

701
00:38:32,880 --> 00:38:37,920
Speaker 1: made a very deliberate You brought your family farm through

702
00:38:37,920 --> 00:38:42,239
Speaker 1: a very deliberate transition. Can you lay out the trajectory

703
00:38:42,239 --> 00:38:45,360
Speaker 1: of your family farm over time, sure, and how it

704
00:38:46,920 --> 00:38:53,160
Speaker 1: naturally evolved and how it evolved somewhat forcefully under your tenure.

705
00:38:53,760 --> 00:38:56,960
Speaker 2: So my great grandfather came to that farm in early

706
00:38:57,000 --> 00:39:02,400
Speaker 2: County Georgia in eighteen sixty six and farmed it, followed

707
00:39:02,440 --> 00:39:06,080
Speaker 2: by his son, my grandfather, who farmed it. If they

708
00:39:06,120 --> 00:39:08,400
Speaker 2: would have farmed, we don't know too much about the

709
00:39:08,800 --> 00:39:12,480
Speaker 2: way they farmed, other than just anecdotal what people did

710
00:39:12,680 --> 00:39:18,759
Speaker 2: in those eras, but it would have been multi species

711
00:39:19,840 --> 00:39:25,960
Speaker 2: with a lot of certainly without dependence upon chemistry. My

712
00:39:26,080 --> 00:39:28,400
Speaker 2: dad took over the farm. He's born in nineteen twenty.

713
00:39:28,480 --> 00:39:31,400
Speaker 2: He took over the farm in nineteen forty five, after

714
00:39:31,440 --> 00:39:35,560
Speaker 2: the World War Two, and that was when farming really changed.

715
00:39:35,719 --> 00:39:38,839
Speaker 2: My dad was part of the leadership in our part

716
00:39:38,880 --> 00:39:46,680
Speaker 2: of the country that industrialized, commoditized, centralized agriculture. It was

717
00:39:46,800 --> 00:39:50,080
Speaker 2: very successful with it and went from a monoculture of

718
00:39:50,120 --> 00:39:53,680
Speaker 2: a lot of different species of plants and animals to

719
00:39:53,920 --> 00:40:01,239
Speaker 2: a monoculture of monoculture today of only cattle, coastal monoculture.

720
00:40:01,520 --> 00:40:03,320
Speaker 1: You're from with poly demono.

721
00:40:03,680 --> 00:40:06,120
Speaker 2: Poly demono. My great grandfather and grandfather would have had

722
00:40:06,160 --> 00:40:09,400
Speaker 2: a lot of species. So my dad ran the farm

723
00:40:09,560 --> 00:40:13,560
Speaker 2: all his career. I was born in nineteen fifty four,

724
00:40:13,640 --> 00:40:16,160
Speaker 2: went to the University of Georgia in nineteen seventy two,

725
00:40:16,840 --> 00:40:21,480
Speaker 2: major National science. My dad industrialized the farm. I came

726
00:40:21,520 --> 00:40:25,160
Speaker 2: home and further industrialized the farm and ran it that

727
00:40:25,239 --> 00:40:31,000
Speaker 2: way for twenty years, and it was financially comfortable in

728
00:40:31,040 --> 00:40:35,000
Speaker 2: the mid nineties for a number of reasons, I started

729
00:40:35,040 --> 00:40:40,560
Speaker 2: to rethink things pretty quickly and did, and for the

730
00:40:40,600 --> 00:40:42,960
Speaker 2: last twenty five years I've been running it in a

731
00:40:43,040 --> 00:40:48,239
Speaker 2: man of that without intentionally copying them. But a mound

732
00:40:48,320 --> 00:40:52,319
Speaker 2: that resembles what my great grandfather and grandfather did a

733
00:40:52,360 --> 00:40:54,160
Speaker 2: hell of a lot more than it resembles what my

734
00:40:54,280 --> 00:40:55,120
Speaker 2: dad and I did.

735
00:40:57,360 --> 00:41:00,759
Speaker 1: What was the what was the trick? Like? What were

736
00:41:00,800 --> 00:41:03,080
Speaker 1: the things you were seeing on your family property that

737
00:41:03,080 --> 00:41:06,480
Speaker 1: that prompted you to rethink your approach to agriculture, and

738
00:41:06,520 --> 00:41:10,120
Speaker 1: it also you might as well define define your approach

739
00:41:10,160 --> 00:41:13,399
Speaker 1: to agriculture. I mean, we can say stuff like regenitive agriculture,

740
00:41:13,400 --> 00:41:14,880
Speaker 1: and to be honest with you, I hear that all

741
00:41:14,880 --> 00:41:16,280
Speaker 1: the time. It took me a long time to figure

742
00:41:16,320 --> 00:41:19,560
Speaker 1: out like kind of what it meant. And you, I've

743
00:41:19,560 --> 00:41:22,840
Speaker 1: even heard you. I was reviewing some of the talks

744
00:41:22,880 --> 00:41:25,359
Speaker 1: you've given and I've heard you say that you anticipate

745
00:41:26,080 --> 00:41:30,680
Speaker 1: that term being hijacked. Yeah, so that it'll become like

746
00:41:30,840 --> 00:41:35,120
Speaker 1: other catch other agricultural catchphrases that that have a sort

747
00:41:35,160 --> 00:41:39,080
Speaker 1: of that their meaning becomes diminished as it gets appropriated.

748
00:41:40,320 --> 00:41:43,799
Speaker 2: Today we call it regenerative. That has not been co

749
00:41:43,840 --> 00:41:48,520
Speaker 2: opted much yet. And to me, that means emulation of nature.

750
00:41:49,280 --> 00:41:56,040
Speaker 2: So the the natural cycles, the industrial agriculture that I

751
00:41:56,160 --> 00:41:59,960
Speaker 2: used to use running a monoculture of only cattle break

752
00:42:00,360 --> 00:42:09,520
Speaker 2: those cycles. I ran the farmers of monocultural cattle industry

753
00:42:09,560 --> 00:42:15,080
Speaker 2: for twenty something years and was financially comfortable. I got

754
00:42:15,120 --> 00:42:20,760
Speaker 2: dissatisfied with it when I came to see the damage

755
00:42:20,800 --> 00:42:26,880
Speaker 2: I was doing. The admission is that while I was

756
00:42:26,920 --> 00:42:31,520
Speaker 2: a very industrial cattleman, I always opted on the high side.

757
00:42:32,040 --> 00:42:35,720
Speaker 2: If the label rate said two c c's per hundred.

758
00:42:35,800 --> 00:42:38,200
Speaker 2: I probably gave them three secs per one hundred pounds

759
00:42:38,239 --> 00:42:40,960
Speaker 2: of body weight. I said, a paint to the acre.

760
00:42:41,000 --> 00:42:42,399
Speaker 2: I probably put a cort to the.

761
00:42:44,320 --> 00:42:47,759
Speaker 1: And I guess mean like if one's good, two is better.

762
00:42:47,719 --> 00:42:54,880
Speaker 2: One's good, towo's button threes really good. And it worked

763
00:42:54,920 --> 00:43:00,480
Speaker 2: for me. But because I was so heavy handed, I

764
00:43:00,520 --> 00:43:07,080
Speaker 2: came to see the unintended consequences and it kind of strangely,

765
00:43:07,840 --> 00:43:17,440
Speaker 2: it manifested itself. On the animal welfare side.

766
00:43:12,080 --> 00:43:12,160
Speaker 5: In.

767
00:43:14,440 --> 00:43:18,600
Speaker 2: Nineteen ninety five, I was loading a truck load of

768
00:43:18,719 --> 00:43:22,799
Speaker 2: cattle to ship to the west for feeding. We did

769
00:43:22,800 --> 00:43:26,440
Speaker 2: that a lot. These would have been five hundred pound caves,

770
00:43:26,920 --> 00:43:28,800
Speaker 2: so there would have been about one hundred album on

771
00:43:28,920 --> 00:43:31,880
Speaker 2: the truck. So they were going to be on that

772
00:43:32,000 --> 00:43:36,560
Speaker 2: truck going to Nebraska for thirty hours. It got Nebraska,

773
00:43:36,640 --> 00:43:40,399
Speaker 2: that's where these were going. Although that's not the only state.

774
00:43:40,440 --> 00:43:43,280
Speaker 2: We feds. That's where these were going. That was about

775
00:43:43,320 --> 00:43:45,799
Speaker 2: as far as we went. Took thirty hours to get

776
00:43:45,960 --> 00:43:46,520
Speaker 2: to Nebraska.

777
00:43:46,520 --> 00:43:48,760
Speaker 1: You're basically moving them to the corn exactly.

778
00:43:49,600 --> 00:43:51,279
Speaker 2: It's cheaper to move the cows to the corn than

779
00:43:51,320 --> 00:43:54,799
Speaker 2: the corner of the cow. So they would have been

780
00:43:54,840 --> 00:43:57,279
Speaker 2: on the now for thirty hours with the ones on

781
00:43:57,400 --> 00:44:00,880
Speaker 2: top urinating and defecating on the world was on the bottom,

782
00:44:01,600 --> 00:44:04,160
Speaker 2: without food or water or rest. And I had done

783
00:44:04,160 --> 00:44:07,200
Speaker 2: it dozens of times, but all of a sudden that morning,

784
00:44:07,239 --> 00:44:14,160
Speaker 2: it just didn't feel good. So it made me start

785
00:44:14,200 --> 00:44:17,399
Speaker 2: thinking about all the things I was doing that were

786
00:44:17,440 --> 00:44:24,440
Speaker 2: financially working for me but needed rethinking, and the animal welfare,

787
00:44:24,520 --> 00:44:27,960
Speaker 2: which is that was an animal welfare issue, quickly led

788
00:44:28,040 --> 00:44:30,359
Speaker 2: me to the environmental side. I mean, it was just like,

789
00:44:30,840 --> 00:44:35,680
Speaker 2: if this is wrong, this is wrong. So I fairly

790
00:44:35,800 --> 00:44:47,000
Speaker 2: abruptly ceased using chemical fertilizers, pesticides on my farm, de wormas, antibiotics,

791
00:44:47,080 --> 00:44:50,520
Speaker 2: anosaors on the cows. I only had cattle at the

792
00:44:50,520 --> 00:44:55,600
Speaker 2: time and tried to make a living like that, and

793
00:44:55,680 --> 00:45:01,160
Speaker 2: it was not nearly as financially rewarded, but it felt

794
00:45:01,200 --> 00:45:04,720
Speaker 2: a lot better, and it started me on this journey

795
00:45:04,800 --> 00:45:09,319
Speaker 2: that I've been on for twenty five years, and it's

796
00:45:09,360 --> 00:45:14,760
Speaker 2: really been good for us in many ways. We probably

797
00:45:14,840 --> 00:45:17,920
Speaker 2: have not made as much money, probably left some money

798
00:45:17,920 --> 00:45:20,239
Speaker 2: on the table that we could have made if we'd

799
00:45:20,280 --> 00:45:26,400
Speaker 2: operated more industrially and within the system. But the land

800
00:45:26,600 --> 00:45:32,280
Speaker 2: is way butter off the livestock is way butter off.

801
00:45:32,880 --> 00:45:35,319
Speaker 2: I think we've got even more. It may not be

802
00:45:35,360 --> 00:45:39,000
Speaker 2: a more profitable business, but I think it's more resilient.

803
00:45:40,680 --> 00:45:44,280
Speaker 2: And two of my three daughters and their spouses came back,

804
00:45:44,360 --> 00:45:47,480
Speaker 2: and I'm pretty sure they would not had I continued

805
00:45:47,520 --> 00:45:51,640
Speaker 2: to farm industrially. So it's been way more good than bad.

806
00:45:52,680 --> 00:45:53,960
Speaker 1: They might not have been drawn to it.

807
00:45:55,000 --> 00:45:58,239
Speaker 2: Oh, they would not have been. You know, I never

808
00:45:58,320 --> 00:46:01,120
Speaker 2: wanted to do anything but run that arm. But my

809
00:46:01,320 --> 00:46:04,880
Speaker 2: daughters were raised the way people raise children in the

810
00:46:04,920 --> 00:46:08,960
Speaker 2: eighties and nineties, and you know it was it was

811
00:46:09,000 --> 00:46:13,239
Speaker 2: about ballet and gymnastics and karate and soccer and softball.

812
00:46:14,040 --> 00:46:18,400
Speaker 2: And they they would not have come back to the farm.

813
00:46:19,360 --> 00:46:24,920
Speaker 1: Uh, here's gonna give you a question about raising cattle.

814
00:46:26,960 --> 00:46:29,960
Speaker 1: I've picked up a handful bit. I know a little bit. Primarily,

815
00:46:30,000 --> 00:46:32,200
Speaker 1: I know stuff about raising cattle is from hunting on

816
00:46:32,280 --> 00:46:34,400
Speaker 1: people's farms and ranches. And you always go like, so,

817
00:46:34,440 --> 00:46:37,560
Speaker 1: what's that that you know? I have zero background and

818
00:46:37,719 --> 00:46:41,360
Speaker 1: egg I've just picked stuff up through exposure. When we

819
00:46:41,400 --> 00:46:48,680
Speaker 1: talk about the system, you've now you're now capturing the

820
00:46:48,840 --> 00:46:53,920
Speaker 1: entire system, meaning you've got Kyle's that will they'll be

821
00:46:53,960 --> 00:46:57,840
Speaker 1: bread and born on your farm and you'll sell the

822
00:46:57,880 --> 00:47:00,320
Speaker 1: burger at your start.

823
00:47:00,360 --> 00:47:02,000
Speaker 2: And we have and we have a slaughter plant on

824
00:47:02,000 --> 00:47:02,600
Speaker 2: the floor as well.

825
00:47:02,880 --> 00:47:05,640
Speaker 1: That is yeah, you're running the whole damn deal vertically.

826
00:47:05,840 --> 00:47:06,040
Speaker 2: Drew.

827
00:47:06,840 --> 00:47:09,239
Speaker 1: Let's go back to when when you were a boy.

828
00:47:11,680 --> 00:47:16,520
Speaker 1: Tell me what portion of that process you were capturing

829
00:47:16,560 --> 00:47:19,359
Speaker 1: as a boy, just so people can see a little

830
00:47:19,360 --> 00:47:21,920
Speaker 1: bit of this. What portion of a cole's life were

831
00:47:21,960 --> 00:47:25,399
Speaker 1: you in charge of as a boy, And then what

832
00:47:25,440 --> 00:47:29,040
Speaker 1: portion are you guys doing now at waite Oat pastures.

833
00:47:29,760 --> 00:47:35,879
Speaker 2: My dad and later me had mama cows only that's

834
00:47:35,880 --> 00:47:40,319
Speaker 2: the only uh crop we produced was cattle. We had

835
00:47:40,400 --> 00:47:45,799
Speaker 2: mama cows. We bred them initially naturally, later on through

836
00:47:45,880 --> 00:47:49,600
Speaker 2: artificial insemination, we gave birth to the cavs and we

837
00:47:49,800 --> 00:47:53,120
Speaker 2: weaned them at about six months of age and shipped

838
00:47:53,160 --> 00:47:56,320
Speaker 2: them through the feed lot area like we just discussed.

839
00:47:58,400 --> 00:48:03,000
Speaker 1: And then now talk about the transformation you've had just

840
00:48:03,000 --> 00:48:04,640
Speaker 1: just in just in terms of cattle, because just.

841
00:48:04,600 --> 00:48:08,400
Speaker 2: In terms of cattle, we we've gone from being a

842
00:48:08,440 --> 00:48:13,880
Speaker 2: little snippet in the huge beef production system to be

843
00:48:13,960 --> 00:48:18,640
Speaker 2: in a tiny, tiny, little beef production system. We own

844
00:48:18,719 --> 00:48:21,600
Speaker 2: the mama cows. We have the caws. We finish the

845
00:48:21,640 --> 00:48:27,920
Speaker 2: caves on grass only grass, hey before no corn, and

846
00:48:27,960 --> 00:48:30,200
Speaker 2: then we slaughter them and then we sell them. We

847
00:48:30,239 --> 00:48:36,240
Speaker 2: sell them some wholesale to grossers, some through our little store.

848
00:48:36,640 --> 00:48:38,200
Speaker 2: We've got a little restaurant.

849
00:48:38,440 --> 00:48:40,480
Speaker 1: And then you're just selling cook product too.

850
00:48:40,800 --> 00:48:44,400
Speaker 2: We know it's small. Yeah, well it's it's three meals

851
00:48:44,440 --> 00:48:46,160
Speaker 2: a day, seven days a week, but we don't feed

852
00:48:46,200 --> 00:48:46,800
Speaker 2: that many people.

853
00:48:46,880 --> 00:48:49,640
Speaker 1: Yeah, it's you know, we're but it's possible to for

854
00:48:49,719 --> 00:48:51,160
Speaker 1: a person to go and eat a burger.

855
00:48:52,000 --> 00:48:54,320
Speaker 2: It's probably probably probably.

856
00:48:55,360 --> 00:48:58,480
Speaker 1: We're we gotta eat a burger that was produced right there.

857
00:48:58,560 --> 00:49:01,000
Speaker 2: Yeah, we got one hundred and seventy employployees and it's

858
00:49:01,040 --> 00:49:04,719
Speaker 2: twelve miles to the nearest place to eat, and it's

859
00:49:04,800 --> 00:49:08,600
Speaker 2: a fast food place. So we you know, I put

860
00:49:08,680 --> 00:49:11,600
Speaker 2: in the food service to feed my employees, but we've

861
00:49:11,640 --> 00:49:14,640
Speaker 2: expanded it. It's not big, but we do cook twenty

862
00:49:14,680 --> 00:49:20,120
Speaker 2: one meals a week and it's good.

863
00:49:21,800 --> 00:49:25,080
Speaker 1: What the economics change completely? Right?

864
00:49:25,480 --> 00:49:29,600
Speaker 2: Oh yeah, yeah, And I went back and looked. I

865
00:49:29,840 --> 00:49:32,200
Speaker 2: never from the time I graduated at University of Georgia

866
00:49:32,200 --> 00:49:36,200
Speaker 2: in nineteen seventy six until I started changing the way

867
00:49:36,280 --> 00:49:40,520
Speaker 2: we raised cattle in nineteen ninety five. I never lost money.

868
00:49:40,680 --> 00:49:43,319
Speaker 2: I paid taxes every year. Now we didn't make we

869
00:49:43,320 --> 00:49:44,600
Speaker 2: didn't make a hell of a lot of money, but

870
00:49:44,640 --> 00:49:49,080
Speaker 2: we lived comfortably. They were consistently profitable. I had a

871
00:49:49,200 --> 00:49:52,920
Speaker 2: number of years of losses when I was transitioning over,

872
00:49:54,120 --> 00:49:57,440
Speaker 2: and I was very fortunate. I had inherited a nice

873
00:49:57,560 --> 00:50:01,000
Speaker 2: paid for a farm, and made a little money my own.

874
00:50:01,800 --> 00:50:05,879
Speaker 2: So we were able to survive it. But we had

875
00:50:05,920 --> 00:50:06,719
Speaker 2: to survive it.

876
00:50:08,320 --> 00:50:13,560
Speaker 1: Now, what do you guys do talk about how you compost?

877
00:50:15,160 --> 00:50:18,960
Speaker 1: I understand it's be true for your book, do you guys?

878
00:50:19,080 --> 00:50:21,439
Speaker 1: Instead of sending ship off to a rendering plant, you guys,

879
00:50:21,440 --> 00:50:23,239
Speaker 1: are you guys are handling that too?

880
00:50:23,520 --> 00:50:25,839
Speaker 2: Yeah? We are, Yeah, so we generally.

881
00:50:25,520 --> 00:50:27,719
Speaker 1: How does that even? How does that work? I mean

882
00:50:27,719 --> 00:50:29,480
Speaker 1: I could picture dragging it out, letting it rode.

883
00:50:30,360 --> 00:50:32,080
Speaker 2: You wouldn't do that, Yeah, But.

884
00:50:32,000 --> 00:50:33,960
Speaker 1: I mean I don't picture even I can't. I don't

885
00:50:33,960 --> 00:50:36,920
Speaker 1: picture what it even like composting a carcass.

886
00:50:37,120 --> 00:50:40,040
Speaker 2: It's very different. So well, of course, well there are

887
00:50:40,040 --> 00:50:42,839
Speaker 2: some whole carcasses, because when we have death loss, we

888
00:50:42,440 --> 00:50:47,480
Speaker 2: compost them too, But most of it is packing plant waste.

889
00:50:47,800 --> 00:50:55,320
Speaker 2: That's what USDA calls it. That would be a viscert, hooves, feathers,

890
00:50:56,320 --> 00:51:02,040
Speaker 2: gut fill, whatever's not marketable, skulls, central nervous system tissue

891
00:51:02,080 --> 00:51:06,719
Speaker 2: which we can't harvest. It's got brain spin core. So

892
00:51:07,280 --> 00:51:10,080
Speaker 2: but we generated about nine tons of day, five days

893
00:51:10,080 --> 00:51:12,960
Speaker 2: a week, and we compost it.

894
00:51:13,360 --> 00:51:14,680
Speaker 1: We nine tons a day.

895
00:51:15,920 --> 00:51:16,920
Speaker 2: Yeah, that sounds like a lot.

896
00:51:18,280 --> 00:51:20,600
Speaker 1: Pick up a cow stomach. Well yeah, and.

897
00:51:22,360 --> 00:51:24,560
Speaker 2: It's a lot of moisture. I mean there's as far

898
00:51:24,640 --> 00:51:29,399
Speaker 2: as dry material, it's probably eighty percent moisture. I see,

899
00:51:29,960 --> 00:51:33,600
Speaker 2: you got to deal with it. But that's so we

900
00:51:33,640 --> 00:51:39,799
Speaker 2: do compost. Composting is taking a nitrogenous material animal weight

901
00:51:40,239 --> 00:51:44,520
Speaker 2: remains and a carbaceous material in our case to be

902
00:51:44,560 --> 00:51:48,960
Speaker 2: peanut shells or wood chips or whatever people give us.

903
00:51:49,600 --> 00:51:53,759
Speaker 2: That's not homeowners but you know the asplunt or the

904
00:51:53,760 --> 00:51:57,440
Speaker 2: peanut shelling plants and their rules.

905
00:51:57,520 --> 00:51:59,719
Speaker 1: You go and you say, you mean the treat the

906
00:51:59,800 --> 00:52:03,440
Speaker 1: big power line tree company, Yeah, Asplin and I know

907
00:52:03,480 --> 00:52:04,000
Speaker 1: that outfit.

908
00:52:04,120 --> 00:52:08,360
Speaker 2: Yeah, they they dump those wood chips. We make it

909
00:52:08,400 --> 00:52:12,160
Speaker 2: available not for anybody, but for people that we trust

910
00:52:12,280 --> 00:52:14,600
Speaker 2: to dump carbaceous material via.

911
00:52:15,200 --> 00:52:18,600
Speaker 1: I tell you quick little side tidbit about ask So

912
00:52:18,840 --> 00:52:22,239
Speaker 1: you know they do those big power line gas line projects.

913
00:52:23,760 --> 00:52:26,759
Speaker 1: I used to sell firewood and when they would go

914
00:52:26,840 --> 00:52:32,360
Speaker 1: through a big land owner, I'd go in there and

915
00:52:32,760 --> 00:52:35,520
Speaker 1: broke or deal to get all that. I'd sell all

916
00:52:35,560 --> 00:52:35,919
Speaker 1: that shit.

917
00:52:37,400 --> 00:52:38,560
Speaker 2: That's that's the same thing I do.

918
00:52:40,280 --> 00:52:42,560
Speaker 1: Like mostly cut up and I would go in there

919
00:52:42,560 --> 00:52:44,719
Speaker 1: and bucket into the sixteen inch lengths and split it

920
00:52:44,760 --> 00:52:47,000
Speaker 1: and sell it, and people be glad I did it.

921
00:52:47,680 --> 00:52:51,920
Speaker 2: Well, I'm glad I found them too. And there are

922
00:52:52,000 --> 00:52:56,839
Speaker 2: ratios of not try material and carbaceous material that you mix.

923
00:52:56,960 --> 00:53:02,160
Speaker 2: They are rules you go by. You We have a

924
00:53:02,200 --> 00:53:07,120
Speaker 2: thermometer with a five foot handle, probe on it. We

925
00:53:07,239 --> 00:53:09,160
Speaker 2: stick in there or my guys sticking.

926
00:53:09,239 --> 00:53:10,799
Speaker 1: Are you grinding up the cow?

927
00:53:12,480 --> 00:53:16,120
Speaker 2: Not anymore? I used to I have a grinder, but

928
00:53:16,160 --> 00:53:18,520
Speaker 2: we said we struggle to keep it going. And really,

929
00:53:18,800 --> 00:53:25,120
Speaker 2: except for the bones, uh, it's it's this. It comes apart.

930
00:53:25,920 --> 00:53:29,359
Speaker 2: The bones become very porous. I should tell you this.

931
00:53:29,760 --> 00:53:33,840
Speaker 2: It takes six to seven weeks to compost that animal material,

932
00:53:34,880 --> 00:53:37,120
Speaker 2: but it has been recommended to us that we let

933
00:53:37,200 --> 00:53:39,480
Speaker 2: it sit for a year. If you let it sit

934
00:53:39,600 --> 00:53:45,080
Speaker 2: a year, the compost becomes less bacterial and more fungal

935
00:53:45,239 --> 00:53:48,279
Speaker 2: and it's better for the land. So we let it

936
00:53:48,280 --> 00:53:51,279
Speaker 2: sit a year, and not only does it become more

937
00:53:51,320 --> 00:53:56,120
Speaker 2: fungal and it's better fertilizer, but those bones become porous.

938
00:53:56,440 --> 00:53:59,400
Speaker 1: You got you gotta give it to me, like you

939
00:53:59,440 --> 00:54:02,120
Speaker 1: gotta give this like you're you're like like you're gone

940
00:54:02,239 --> 00:54:05,360
Speaker 1: out of town and you're explaining to me on the

941
00:54:05,400 --> 00:54:07,600
Speaker 1: phone what I need to do.

942
00:54:08,000 --> 00:54:14,560
Speaker 2: Okay, So my guys put the carbaceous material peanut shells

943
00:54:14,680 --> 00:54:19,360
Speaker 2: or wood chips into long windows. Okay on the surface,

944
00:54:19,680 --> 00:54:23,480
Speaker 2: not no, no, on the surface okay. And by the way,

945
00:54:23,520 --> 00:54:26,359
Speaker 2: we move this operation around the farm. You don't want

946
00:54:26,400 --> 00:54:28,880
Speaker 2: to sit in one place too long. I fear it

947
00:54:28,960 --> 00:54:33,040
Speaker 2: might be too much at some point, so we move

948
00:54:33,080 --> 00:54:36,839
Speaker 2: it around every year or so. But we uh uh.

949
00:54:37,040 --> 00:54:42,080
Speaker 2: The animal material goes onto a little dump truck right

950
00:54:42,120 --> 00:54:43,839
Speaker 2: out of the plant or right out of the plant

951
00:54:44,360 --> 00:54:46,799
Speaker 2: every every day, maybe twice a day, at least once

952
00:54:46,840 --> 00:54:49,680
Speaker 2: a day, and they'll take it up to the composting

953
00:54:49,800 --> 00:54:53,760
Speaker 2: area wherever that happens to be right then, and they'll

954
00:54:54,880 --> 00:55:00,319
Speaker 2: take a big caterpillar front end loader and build kind

955
00:55:00,320 --> 00:55:05,320
Speaker 2: of a bed of the carbaceous material to back the

956
00:55:05,360 --> 00:55:08,200
Speaker 2: truck up and dump it in so it's dumped on

957
00:55:08,880 --> 00:55:12,040
Speaker 2: twenty four inches of carbaceous.

958
00:55:11,400 --> 00:55:13,759
Speaker 1: Material, peanut shells, wood chips.

959
00:55:14,040 --> 00:55:17,120
Speaker 2: Got it. They dump it. Then they cover it up

960
00:55:17,920 --> 00:55:23,080
Speaker 2: with more of the same again, eighteen twenty four inches.

961
00:55:24,080 --> 00:55:28,200
Speaker 2: And here's a little fun fact. If we do a

962
00:55:28,239 --> 00:55:32,480
Speaker 2: good job covering it up, you never smell it and

963
00:55:32,560 --> 00:55:35,360
Speaker 2: you never see buzzards or vulses.

964
00:55:35,480 --> 00:55:38,600
Speaker 1: What's my next question, My next question, it's gonna be

965
00:55:38,640 --> 00:55:39,360
Speaker 1: about buzz.

966
00:55:40,760 --> 00:55:44,840
Speaker 2: All right, So let me tell you. Sometimes something happens,

967
00:55:44,920 --> 00:55:47,520
Speaker 2: you know, the load is thrown up or whatever, and

968
00:55:47,640 --> 00:55:50,040
Speaker 2: we just can't get it covered up as quickly as

969
00:55:50,040 --> 00:55:54,280
Speaker 2: we want to. When that happens, you can see those vultures,

970
00:55:54,800 --> 00:55:58,200
Speaker 2: either red headed or black headed, just stacking up there.

971
00:55:59,080 --> 00:56:02,000
Speaker 2: So we we keep it covered, which.

972
00:56:01,800 --> 00:56:04,600
Speaker 1: We do, and that's and then you let it sit

973
00:56:04,640 --> 00:56:04,920
Speaker 1: a year.

974
00:56:05,840 --> 00:56:09,560
Speaker 2: Well you've got to you've got to mechanically stir it

975
00:56:09,920 --> 00:56:14,200
Speaker 2: and take temperatures and record the temperatures. But as long

976
00:56:14,280 --> 00:56:17,680
Speaker 2: as we do that in six eight weeks, it will

977
00:56:17,719 --> 00:56:20,719
Speaker 2: become posted. And then we let it sit a year.

978
00:56:21,040 --> 00:56:23,319
Speaker 2: We pile it up and let it sit for a year.

979
00:56:23,719 --> 00:56:26,160
Speaker 2: Then we spread it on our pastures. I've got a

980
00:56:26,880 --> 00:56:31,480
Speaker 2: spread truck with a forty eight inch bedchain so big

981
00:56:31,560 --> 00:56:33,840
Speaker 2: bones can come out of the back of it. We

982
00:56:33,960 --> 00:56:37,680
Speaker 2: put two tons to the acre and it is seriously

983
00:56:37,760 --> 00:56:43,480
Speaker 2: where it's magic is good. You're feeding the micro You're

984
00:56:43,520 --> 00:56:47,040
Speaker 2: feeding the mic That compost is feeding the microbes and

985
00:56:47,080 --> 00:56:51,920
Speaker 2: the soil. This is important. It's feeding the plant that

986
00:56:52,040 --> 00:56:58,080
Speaker 2: feeds the animal. It's turned into feces or put back

987
00:56:58,120 --> 00:57:01,360
Speaker 2: through the plant. So it's like magic.

988
00:57:10,920 --> 00:57:14,279
Speaker 4: When something has gone through the process of being composted

989
00:57:14,320 --> 00:57:18,120
Speaker 4: in those first six weeks, exactly what happens. It goes

990
00:57:18,160 --> 00:57:19,080
Speaker 4: from what to what.

991
00:57:21,560 --> 00:57:29,080
Speaker 2: It goes from guts and wood chips to compost, which

992
00:57:29,200 --> 00:57:39,120
Speaker 2: is a stable not hot anymore, stable maistubsorbing plant food

993
00:57:39,320 --> 00:57:44,280
Speaker 2: that contains nitrogen and phosphorus and potassium and in this

994
00:57:44,360 --> 00:57:49,360
Speaker 2: case a lot of phosphorus and calcium because of the bones.

995
00:57:50,160 --> 00:57:53,600
Speaker 2: I mean, it's what is supposed to happen. You know,

996
00:57:53,640 --> 00:57:57,760
Speaker 2: the buffalo dies and rots and it grows grass.

997
00:58:00,400 --> 00:58:03,480
Speaker 7: What are the what are the temperatures you're getting in

998
00:58:03,520 --> 00:58:05,200
Speaker 7: those piles as it's working.

999
00:58:05,280 --> 00:58:07,880
Speaker 2: Yeah, one hundred and fifty degrees and if it's not,

1000
00:58:07,960 --> 00:58:11,000
Speaker 2: if it's not hot enough, they stir it and oxygenate it.

1001
00:58:11,440 --> 00:58:13,720
Speaker 2: Take the front end the load on. They make some

1002
00:58:13,800 --> 00:58:18,040
Speaker 2: really great, expensive machines that do that. I love to

1003
00:58:18,120 --> 00:58:19,640
Speaker 2: have one. I ain't got one.

1004
00:58:20,360 --> 00:58:23,040
Speaker 1: But does that does that process costing you money or

1005
00:58:23,080 --> 00:58:23,840
Speaker 1: saving you money?

1006
00:58:23,920 --> 00:58:26,400
Speaker 2: Yeah?

1007
00:58:26,480 --> 00:58:27,760
Speaker 1: Which pile is bigger?

1008
00:58:27,960 --> 00:58:33,480
Speaker 2: Yes? No, Well it's the right thing to do for

1009
00:58:33,520 --> 00:58:34,680
Speaker 2: a lot of reasons. Sure.

1010
00:58:34,760 --> 00:58:36,640
Speaker 1: No, I love it. I mean I love it like

1011
00:58:36,800 --> 00:58:39,800
Speaker 1: just as a non farmer. I love the sounds of it.

1012
00:58:39,880 --> 00:58:42,560
Speaker 1: I'm just curious, like, is it like a is it

1013
00:58:42,600 --> 00:58:46,040
Speaker 1: a cost sink or is it a great way to fertilize.

1014
00:58:46,080 --> 00:58:49,160
Speaker 2: It's a great way to fertilize. It costs money. We've

1015
00:58:49,200 --> 00:58:54,080
Speaker 2: got some equipment and a couple of guys you know,

1016
00:58:54,760 --> 00:58:58,120
Speaker 2: dedicated to it, and that has a cost. But the

1017
00:58:59,440 --> 00:59:03,600
Speaker 2: uh plant, fertility, land, fertility that I get out of it,

1018
00:59:04,280 --> 00:59:07,760
Speaker 2: you can't even you can't whe you couldn't afford to

1019
00:59:07,760 --> 00:59:12,840
Speaker 2: buy it. God, it's wonderful, it's great our. We can

1020
00:59:12,840 --> 00:59:16,040
Speaker 2: talk about this later. But the organic matter in my

1021
00:59:16,160 --> 00:59:19,440
Speaker 2: soil on my farm has gone from a half a

1022
00:59:19,480 --> 00:59:26,800
Speaker 2: percent over five percent, ten x more carbon in the soil,

1023
00:59:27,920 --> 00:59:31,000
Speaker 2: and that no shit, I think, no shit, I think

1024
00:59:31,080 --> 00:59:31,760
Speaker 2: there is some shit.

1025
00:59:31,920 --> 00:59:37,680
Speaker 1: When's when do you think that? Okay, let's say we

1026
00:59:37,760 --> 00:59:42,240
Speaker 1: knew that that if you went back to if you

1027
00:59:42,280 --> 00:59:46,960
Speaker 1: went back to nineteen twenty three, Okay, so we go

1028
00:59:47,000 --> 00:59:49,200
Speaker 1: back a century. Yeah, you think that it might have

1029
00:59:49,240 --> 00:59:49,880
Speaker 1: been around five.

1030
00:59:49,960 --> 00:59:51,800
Speaker 2: I don't know. I mean, that's a great question. I've

1031
00:59:51,840 --> 00:59:54,040
Speaker 2: asked some people, but I don't know anybody that was

1032
00:59:54,040 --> 00:59:57,280
Speaker 2: doing much carbon sampling in nineteen twenty thing. I guess somebody.

1033
00:59:57,320 --> 00:59:58,760
Speaker 1: You would need a thought to look right.

1034
00:59:58,920 --> 01:00:04,240
Speaker 2: Somebody's something we're probably who knows, But the practices that

1035
01:00:04,360 --> 01:00:10,920
Speaker 2: my dad and I did, the tillage and use of

1036
01:00:11,040 --> 01:00:15,080
Speaker 2: nitrogen fertilizer, maybe pesticized. I don't know if it affects

1037
01:00:15,080 --> 01:00:19,480
Speaker 2: it much, but certainly tillagen, use of nitrogen fertilizer burns

1038
01:00:19,600 --> 01:00:25,000
Speaker 2: up carbon in the soil, just just makes it go away.

1039
01:00:25,200 --> 01:00:28,160
Speaker 2: So when you've got soil that's a half a percent

1040
01:00:29,120 --> 01:00:32,280
Speaker 2: organic model, which is what mine had gotten to, it's

1041
01:00:32,320 --> 01:00:35,840
Speaker 2: a dead mineral medium. So let me tell you this

1042
01:00:38,720 --> 01:00:43,120
Speaker 2: one percent organic model I'm told will ab solve a

1043
01:00:43,200 --> 01:00:48,160
Speaker 2: one inch rain event. So on an acre land, a

1044
01:00:48,240 --> 01:00:51,360
Speaker 2: one inch rain event, it's twenty seven thousand gallons of water.

1045
01:00:52,840 --> 01:00:59,720
Speaker 2: So my farm now will absorb I believe five times

1046
01:00:59,720 --> 01:01:02,240
Speaker 2: twenty something five percent organic amount of times twenty seven

1047
01:01:02,240 --> 01:01:06,520
Speaker 2: thousand cows. That's a lot of water, and we get

1048
01:01:06,560 --> 01:01:09,200
Speaker 2: a lot of water. I'm in, Uh, I'm about eighty

1049
01:01:09,240 --> 01:01:11,640
Speaker 2: miles from the Gulf of Mexico. You know. We get

1050
01:01:11,680 --> 01:01:14,840
Speaker 2: fifty two inches a year, and a lot of it's

1051
01:01:14,880 --> 01:01:18,560
Speaker 2: in big rain events. Not unusually have a five inch rain,

1052
01:01:19,000 --> 01:01:22,240
Speaker 2: but I got five percent organic model. That don't mean

1053
01:01:22,280 --> 01:01:26,600
Speaker 2: it all soaks in because it comes too fast, but

1054
01:01:26,600 --> 01:01:31,480
Speaker 2: if it came slowly enough, we'd absorb it all.

1055
01:01:31,560 --> 01:01:35,880
Speaker 5: And the benefits of that compared to soil that's minerally,

1056
01:01:36,120 --> 01:01:39,600
Speaker 5: that pretty much what just like sifts through water and now.

1057
01:01:39,600 --> 01:01:43,120
Speaker 2: The water just percolects. You know. I'm in the Gulf Coast,

1058
01:01:43,360 --> 01:01:46,600
Speaker 2: the Gulf Coastal region, which is an ancient seabed, so

1059
01:01:46,640 --> 01:01:50,720
Speaker 2: the soil is pretty sandy compared to what you've got here,

1060
01:01:51,640 --> 01:01:53,720
Speaker 2: and just it won't hold the water and it doesn't

1061
01:01:53,760 --> 01:01:56,560
Speaker 2: have the minerals. We're putting a lot of minerals out

1062
01:01:56,600 --> 01:02:01,960
Speaker 2: there because of all that, the bones and whatnot. It's

1063
01:02:02,040 --> 01:02:07,320
Speaker 2: one of the uh, the best things I ever stumbled onto.

1064
01:02:07,640 --> 01:02:07,840
Speaker 9: You know.

1065
01:02:07,880 --> 01:02:12,440
Speaker 2: We we when I first built the slaughter plant, getting

1066
01:02:12,520 --> 01:02:15,640
Speaker 2: rid of a viscilant and animal waste was a problem,

1067
01:02:15,840 --> 01:02:17,720
Speaker 2: and we had to pay somebody to come get it,

1068
01:02:18,640 --> 01:02:20,480
Speaker 2: and I didn't have a big enough plant for them

1069
01:02:20,520 --> 01:02:23,040
Speaker 2: to come every day. That meant I was going to

1070
01:02:23,080 --> 01:02:25,720
Speaker 2: have to refrigerate it. They just had a lot of problems.

1071
01:02:25,720 --> 01:02:27,120
Speaker 1: Were you were refrigerating that stuff?

1072
01:02:27,160 --> 01:02:29,960
Speaker 2: No, No, I never did. I was going to have

1073
01:02:30,000 --> 01:02:34,000
Speaker 2: to got it the people do refrigerated. Of course. It

1074
01:02:34,040 --> 01:02:36,880
Speaker 2: takes a lot of room and it's nasty, you know,

1075
01:02:36,920 --> 01:02:40,880
Speaker 2: it's it's a lot of it's not the actual blood

1076
01:02:41,000 --> 01:02:43,439
Speaker 2: is not in it. We drained the blood separately, which

1077
01:02:43,480 --> 01:02:47,520
Speaker 2: we also use is fertilizer, but it's it's different. But

1078
01:02:47,600 --> 01:02:51,120
Speaker 2: there's a lot of manure, a lot of fresh flesh,

1079
01:02:52,320 --> 01:02:55,080
Speaker 2: and a lot of it's just there's just still blood

1080
01:02:55,120 --> 01:02:56,200
Speaker 2: in the cars.

1081
01:02:57,680 --> 01:03:02,240
Speaker 1: Uh walk me through moving just from beef production into

1082
01:03:02,280 --> 01:03:07,000
Speaker 1: producing poultry and other red meats. Was that because he

1083
01:03:07,040 --> 01:03:08,880
Speaker 1: thought it'd be fun or did you need to do

1084
01:03:08,920 --> 01:03:12,480
Speaker 1: that to try to hit the same finances like you could?

1085
01:03:12,560 --> 01:03:14,000
Speaker 1: You couldn't make it work.

1086
01:03:13,800 --> 01:03:17,160
Speaker 2: With beef b so, but it wasn't just financial, I

1087
01:03:17,160 --> 01:03:18,920
Speaker 2: mean it was it was certainly financially. Everything I do

1088
01:03:19,000 --> 01:03:23,040
Speaker 2: is financial because I got to make it work. But

1089
01:03:23,720 --> 01:03:28,280
Speaker 2: when I changed from the industrial production model that I

1090
01:03:28,440 --> 01:03:32,800
Speaker 2: was deeply entrenched in to this model that I'm in now.

1091
01:03:38,280 --> 01:03:41,120
Speaker 2: I didn't realize I was gonna have to add other species,

1092
01:03:41,160 --> 01:03:46,720
Speaker 2: but I did. Yeah. I started having weeds that I

1093
01:03:46,760 --> 01:03:49,000
Speaker 2: you know I was previously. I sprayed it with grays

1094
01:03:49,080 --> 01:03:52,600
Speaker 2: on p n T, which is another herbicide that we

1095
01:03:52,640 --> 01:03:57,120
Speaker 2: didn't talk about. Uh, I had insects. I sprayed it.

1096
01:03:57,160 --> 01:04:01,080
Speaker 2: You know. I used all the sides.

1097
01:04:02,080 --> 01:04:03,840
Speaker 1: To just get what you wanted out of the land

1098
01:04:03,840 --> 01:04:04,479
Speaker 1: and nothing else.

1099
01:04:04,560 --> 01:04:08,320
Speaker 2: That's right, that's right. So what we probably will talk

1100
01:04:08,360 --> 01:04:14,840
Speaker 2: about eventually here is monocultural production. Monocultural production is bad.

1101
01:04:15,160 --> 01:04:22,160
Speaker 2: It's what modern food production is based on. But nature

1102
01:04:22,240 --> 01:04:26,320
Speaker 2: are bores of monoculture. I mean, I don't believe you've

1103
01:04:26,320 --> 01:04:28,160
Speaker 2: been all over the world. I don't believe you can

1104
01:04:28,360 --> 01:04:33,080
Speaker 2: name an ecosystem of the world that's a monoculture. I

1105
01:04:33,120 --> 01:04:36,240
Speaker 2: don't think it exists in nature. You know, nature wants

1106
01:04:36,240 --> 01:04:40,400
Speaker 2: a smallish board of animals and plants and microbes living

1107
01:04:40,400 --> 01:04:44,040
Speaker 2: in symbiotic relationships with each other, and that's what we

1108
01:04:44,120 --> 01:04:46,640
Speaker 2: try to do. But I didn't know that back then.

1109
01:04:47,640 --> 01:04:49,720
Speaker 2: So I was going to have I was going to

1110
01:04:49,760 --> 01:04:52,360
Speaker 2: continue my monoculture of cattle. I was just going to

1111
01:04:52,400 --> 01:04:57,960
Speaker 2: give up those technical tools that I keep naming, and

1112
01:04:58,040 --> 01:05:00,360
Speaker 2: I found out that I couldn't do it. You know,

1113
01:05:00,440 --> 01:05:04,440
Speaker 2: the weeds came and smothered my grass. First of all,

1114
01:05:04,880 --> 01:05:08,360
Speaker 2: the grass that I planted was Tifton eighty five permuta grass,

1115
01:05:08,440 --> 01:05:13,760
Speaker 2: which is a super hybrid permuta grass bred by the

1116
01:05:13,840 --> 01:05:19,880
Speaker 2: University of Georgia that requires incredible amounts of nitrogen to live. Now,

1117
01:05:19,920 --> 01:05:24,000
Speaker 2: it grows like crazy. It just takes a lot of nitrogen.

1118
01:05:24,680 --> 01:05:26,960
Speaker 2: And when I quit putting chemical nitrogen out there, I

1119
01:05:27,000 --> 01:05:31,200
Speaker 2: started losing that stand you know that trall. Yeah, and

1120
01:05:31,240 --> 01:05:34,640
Speaker 2: then all kinds of crap came. And instead of using

1121
01:05:34,640 --> 01:05:37,080
Speaker 2: grays on P and D to take to kill the crap,

1122
01:05:37,600 --> 01:05:40,480
Speaker 2: I didn't. I didn't have that anymore. So we added

1123
01:05:40,520 --> 01:05:43,200
Speaker 2: sheep and goats, which are ruminants like cap.

1124
01:05:43,040 --> 01:05:47,440
Speaker 1: Because you needed something to eat all that jont correct and.

1125
01:05:47,400 --> 01:05:51,040
Speaker 2: The later I added poultry and it was poetry is tough.

1126
01:05:51,080 --> 01:05:52,880
Speaker 2: Now we're struggling with poultry. I'm not sure how that's

1127
01:05:52,880 --> 01:05:53,680
Speaker 2: gonna work out.

1128
01:05:53,600 --> 01:05:57,560
Speaker 1: But we uh, what's tough about poultry being able to

1129
01:05:57,600 --> 01:05:58,880
Speaker 1: charge enough to make it worthwhile?

1130
01:05:58,960 --> 01:06:04,560
Speaker 2: Yeah? That so my beef probably cost about thirty percent

1131
01:06:04,680 --> 01:06:07,600
Speaker 2: more than industrial beef. We could argue about it, but

1132
01:06:08,040 --> 01:06:12,840
Speaker 2: that's close. My poultry probably costs three hundred percent more

1133
01:06:12,880 --> 01:06:14,320
Speaker 2: than industrial poultry.

1134
01:06:14,480 --> 01:06:15,000
Speaker 1: Wow.

1135
01:06:15,440 --> 01:06:20,360
Speaker 2: Because when we the smaller the specie, the more handilyd

1136
01:06:20,600 --> 01:06:26,640
Speaker 2: lent itself to industrialization. So when we industrialize cattle, which

1137
01:06:26,720 --> 01:06:28,960
Speaker 2: my dad was part of that movement, put them in

1138
01:06:29,000 --> 01:06:31,040
Speaker 2: big hundred thousand head feed lots. He never had a

1139
01:06:31,160 --> 01:06:34,439
Speaker 2: hundred thousand head, but they do. He had a five

1140
01:06:34,520 --> 01:06:39,680
Speaker 2: hundred head field. Put them in those feed lots and uh,

1141
01:06:41,600 --> 01:06:43,800
Speaker 2: you know, and and take cost out of production. So

1142
01:06:44,960 --> 01:06:50,760
Speaker 2: we poultry, they're so small they lent themselves to that industrialization.

1143
01:06:50,920 --> 01:06:52,920
Speaker 2: You can put thirty thousand of them in a chicken

1144
01:06:52,920 --> 01:06:58,200
Speaker 2: house and one guy can probably handle x chicken houses

1145
01:06:58,400 --> 01:07:03,280
Speaker 2: because it's highly mechanized. So we just took so much cost.

1146
01:07:04,120 --> 01:07:07,200
Speaker 2: I was in Bold of Colorado, had the Boulder Rama

1147
01:07:07,280 --> 01:07:12,680
Speaker 2: Hotel years ago, the Boulder Rama, and I say, it's

1148
01:07:12,720 --> 01:07:16,680
Speaker 2: something like that. This is the Cowboy Hotel there comber

1149
01:07:16,800 --> 01:07:19,960
Speaker 2: Landmark and I ate supper now. And I had just

1150
01:07:20,040 --> 01:07:25,439
Speaker 2: built my poultry business and spent a million million point something.

1151
01:07:25,600 --> 01:07:27,920
Speaker 2: I'm gonna put something million dollars on the processing plant,

1152
01:07:28,320 --> 01:07:32,240
Speaker 2: and it wasn't working financially, and I was worried about it.

1153
01:07:32,880 --> 01:07:35,720
Speaker 2: And I was waiting on my waiting on bringing my supper. Y'all,

1154
01:07:36,000 --> 01:07:37,120
Speaker 2: don we eat supper?

1155
01:07:37,840 --> 01:07:40,280
Speaker 1: No, I grew up eating supper. Now I had listen, man,

1156
01:07:40,560 --> 01:07:43,400
Speaker 1: I had to make a decision when I started college.

1157
01:07:44,000 --> 01:07:46,280
Speaker 1: I had to train myself to stop saying supper. Because

1158
01:07:46,280 --> 01:07:50,560
Speaker 1: I noticed that no one said that.

1159
01:07:49,240 --> 01:07:52,400
Speaker 2: We have a different I had to be like, we

1160
01:07:52,440 --> 01:07:57,320
Speaker 2: had the same college experience, we had different decisions. I

1161
01:07:57,360 --> 01:07:59,360
Speaker 2: went to the University of Georgia with a bunch of

1162
01:07:59,360 --> 01:08:03,400
Speaker 2: my buddies. I mean just seemed as soon as we

1163
01:08:03,480 --> 01:08:09,120
Speaker 2: got there, they say, hey, you guys want dinner. What

1164
01:08:09,840 --> 01:08:14,120
Speaker 2: happened to y'all won't supper? So I doug a little deeper.

1165
01:08:16,640 --> 01:08:18,360
Speaker 1: It's so funny. I don't know, man, I grew up

1166
01:08:18,360 --> 01:08:21,640
Speaker 1: in a weird little supper corner of the Did you

1167
01:08:21,640 --> 01:08:23,880
Speaker 1: guys say dinner? Supper? We did not say dinner.

1168
01:08:23,960 --> 01:08:32,960
Speaker 4: We said, but Midwest, there's supper. It can't be that.

1169
01:08:33,320 --> 01:08:34,040
Speaker 1: We do it.

1170
01:08:34,320 --> 01:08:35,920
Speaker 2: We do it noon every day.

1171
01:08:36,920 --> 01:08:39,360
Speaker 1: So we DIVI didn't do that. We had breakfast, lunch,

1172
01:08:39,400 --> 01:08:41,759
Speaker 1: and then you have supper. What's what supper time, breakfast

1173
01:08:41,800 --> 01:08:42,880
Speaker 1: still supper.

1174
01:08:44,680 --> 01:08:46,080
Speaker 4: Was Have you ever had lunch?

1175
01:08:49,080 --> 01:08:52,120
Speaker 1: I didn't like it.

1176
01:08:53,520 --> 01:08:56,080
Speaker 4: At what point in your life did you realize that

1177
01:08:56,400 --> 01:08:58,559
Speaker 4: there's this other thing called lunch was the same thing

1178
01:08:58,600 --> 01:08:59,360
Speaker 4: as dinner for you?

1179
01:08:59,520 --> 01:09:01,360
Speaker 2: I mean, I could reading write, I knew what he

1180
01:09:01,479 --> 01:09:08,360
Speaker 2: was talking about. I I talked real slow, I think

1181
01:09:08,479 --> 01:09:16,160
Speaker 2: pretty slow, but I put that dunel thing because so anyway,

1182
01:09:16,280 --> 01:09:17,479
Speaker 2: I lost my trader thor.

1183
01:09:17,520 --> 01:09:19,519
Speaker 1: You were you were had just spent at one point

1184
01:09:19,640 --> 01:09:22,759
Speaker 1: something milly plates and you had ordered up some poultry

1185
01:09:22,800 --> 01:09:28,720
Speaker 1: in the restaurant, or no, you had ordered your dinner waiting.

1186
01:09:26,840 --> 01:09:29,280
Speaker 2: On my something in the boulder. They had they had

1187
01:09:29,320 --> 01:09:36,880
Speaker 2: a menus framed from like nineteen twenty three or something.

1188
01:09:37,320 --> 01:09:40,800
Speaker 2: I got a picture somewhere in my phone and it

1189
01:09:40,920 --> 01:09:48,599
Speaker 2: said beef plate, beef dinner privately, Uh, ninety nine cent

1190
01:09:50,880 --> 01:09:55,360
Speaker 2: pork dummer nine and nine cent chicken dinner A dollar

1191
01:09:55,560 --> 01:09:56,360
Speaker 2: thirty cents.

1192
01:09:57,600 --> 01:10:01,360
Speaker 1: So you know, at some point in time, before.

1193
01:10:01,479 --> 01:10:03,559
Speaker 2: We industrialize, we took all the costs out.

1194
01:10:03,640 --> 01:10:07,280
Speaker 1: But now now that would say thirty nine dollars, yeah,

1195
01:10:07,360 --> 01:10:10,000
Speaker 1: thirty seven dollars, nineteen.

1196
01:10:09,560 --> 01:10:15,160
Speaker 2: Dollars yeah, right, something like that, so we uh, anyway,

1197
01:10:15,240 --> 01:10:19,080
Speaker 2: that's uh. We we we struggle with poetry.

1198
01:10:19,600 --> 01:10:21,719
Speaker 1: So that was like when you saw that thing, though,

1199
01:10:22,400 --> 01:10:26,760
Speaker 1: it hit you something about the eye of wackedness of

1200
01:10:26,800 --> 01:10:28,280
Speaker 1: where we've gotten with cheap poultry.

1201
01:10:28,920 --> 01:10:30,880
Speaker 2: I would say, shit, I wish I hadn't done that.

1202
01:10:31,880 --> 01:10:33,599
Speaker 2: I wish I hadn't built it. I wish I hadn't

1203
01:10:33,640 --> 01:10:38,920
Speaker 2: built that plant. And you know we're fixing do We

1204
01:10:38,920 --> 01:10:41,639
Speaker 2: were cutting back on our poetry because we have lost

1205
01:10:41,680 --> 01:10:43,640
Speaker 2: so much money. I still want to do it, but

1206
01:10:43,720 --> 01:10:44,920
Speaker 2: I'm not sure how it's going to look.

1207
01:10:45,160 --> 01:10:46,600
Speaker 1: So you haven't turned it around.

1208
01:10:48,120 --> 01:10:51,040
Speaker 4: And you can't find a market that will that will

1209
01:10:51,080 --> 01:10:53,040
Speaker 4: pay enough to keep it going.

1210
01:10:53,320 --> 01:10:57,840
Speaker 2: Not on enough birds. I'll tell something else. I don't

1211
01:10:57,840 --> 01:11:00,760
Speaker 2: think I'm a very good poetry farmer. I'm a I'm

1212
01:11:00,760 --> 01:11:05,760
Speaker 2: a I'm a really good beef guy. You know when

1213
01:11:05,760 --> 01:11:08,360
Speaker 2: I got when I when I moved from beef to sheep,

1214
01:11:08,439 --> 01:11:10,920
Speaker 2: that was the first specie I bought. I said, you know,

1215
01:11:11,400 --> 01:11:16,240
Speaker 2: they just like little cows. I can't do that. They're

1216
01:11:16,240 --> 01:11:20,280
Speaker 2: not like little cows. But it's hard. So then, you know,

1217
01:11:20,479 --> 01:11:23,200
Speaker 2: but we got reasons for good and hired some people

1218
01:11:23,200 --> 01:11:26,040
Speaker 2: to help us. Then they got ready to put goats

1219
01:11:26,040 --> 01:11:29,960
Speaker 2: out of there, because you know, goats and sheep are

1220
01:11:30,000 --> 01:11:35,720
Speaker 2: both small ruminates. But sheep eat forbes, goats eat scrub.

1221
01:11:36,000 --> 01:11:38,200
Speaker 2: For the most part, you need both of them. I

1222
01:11:38,280 --> 01:11:40,920
Speaker 2: got goats, I said, you know, I've learned how to

1223
01:11:41,000 --> 01:11:46,880
Speaker 2: run sheep. I can run goats. So then we got

1224
01:11:47,080 --> 01:11:49,200
Speaker 2: birds and I don't know how to do that, and hogs.

1225
01:11:49,280 --> 01:11:51,439
Speaker 2: I didn't know how to do that, and I'm still not.

1226
01:11:51,800 --> 01:11:53,320
Speaker 2: I don't think I'm real good at it.

1227
01:11:53,400 --> 01:11:55,200
Speaker 1: But is the hogs making money?

1228
01:11:55,520 --> 01:11:57,479
Speaker 2: Yeah? Yeah, the hogs are making money.

1229
01:11:58,000 --> 01:11:59,760
Speaker 1: Is goats making money?

1230
01:12:00,080 --> 01:12:05,240
Speaker 2: Yeah? Yeah, yes, let me see, you know. And the

1231
01:12:05,240 --> 01:12:09,400
Speaker 2: reason I'm the reason I'm that says yes. But the

1232
01:12:09,439 --> 01:12:14,400
Speaker 2: reason I'm not saying hell yeah is we you know,

1233
01:12:15,439 --> 01:12:18,720
Speaker 2: in a in a farm like hours, where everything is

1234
01:12:18,760 --> 01:12:23,280
Speaker 2: integrated and working together, it's really hard to identify a

1235
01:12:23,280 --> 01:12:26,920
Speaker 2: single line. So let's let's talk about the difference in

1236
01:12:27,000 --> 01:12:33,400
Speaker 2: linear and cyclical. We do that. Yeah, most businesses are

1237
01:12:33,560 --> 01:12:38,639
Speaker 2: very linear. You're just next, next, next, next. A farm

1238
01:12:38,840 --> 01:12:42,439
Speaker 2: is meant to be cyclical. It's close to nature. You know,

1239
01:12:42,640 --> 01:12:46,599
Speaker 2: the inputs it's spent, It goes around and around the

1240
01:12:47,320 --> 01:12:51,719
Speaker 2: waste stream coming off of a cyclical business like a farm,

1241
01:12:52,080 --> 01:12:58,040
Speaker 2: it's a very small hour. But the complexity of it

1242
01:12:58,080 --> 01:13:01,240
Speaker 2: is it's really hard to know. So I told you

1243
01:13:01,320 --> 01:13:03,680
Speaker 2: I'm losing a lot of money on poultry, and I

1244
01:13:03,720 --> 01:13:07,040
Speaker 2: am don't believe it. Talking of my accountant, but he's

1245
01:13:07,080 --> 01:13:11,479
Speaker 2: not accounting for the additional fertility that birdman you puts

1246
01:13:11,520 --> 01:13:15,800
Speaker 2: out all the feathers and carcasses. That I that that's

1247
01:13:15,840 --> 01:13:20,360
Speaker 2: an extra income stream that's not showing up on my financials.

1248
01:13:21,080 --> 01:13:24,479
Speaker 2: So it gets very difficult. You know, there are reasons.

1249
01:13:24,479 --> 01:13:31,599
Speaker 2: There are a lot of of cyclical farms that are

1250
01:13:31,840 --> 01:13:36,160
Speaker 2: on the Stock Exchange. It's so it's you know, it

1251
01:13:36,200 --> 01:13:41,320
Speaker 2: doesn't manifest itself in monthly reports or quarter the reports

1252
01:13:41,400 --> 01:13:44,760
Speaker 2: or annual reports. It manifests yourself generationally.

1253
01:13:48,240 --> 01:13:49,200
Speaker 1: Help me understand that.

1254
01:13:49,280 --> 01:13:55,840
Speaker 2: Say that again, so most linear businesses, uh, you know,

1255
01:13:55,920 --> 01:13:59,439
Speaker 2: you can pull a monthly report or quarter the reporter

1256
01:13:59,600 --> 01:14:02,599
Speaker 2: now you're report and get a pretty good indicator of

1257
01:14:02,640 --> 01:14:05,960
Speaker 2: how your business is doing financially. Can I understand I'm

1258
01:14:05,960 --> 01:14:10,679
Speaker 2: saying in a farm, I may show I'm losing money,

1259
01:14:10,880 --> 01:14:12,679
Speaker 2: but if I'm moving it from a half cent organic

1260
01:14:12,760 --> 01:14:17,400
Speaker 2: model to five percent organic model, it's not on there. Yeah,

1261
01:14:17,960 --> 01:14:22,799
Speaker 2: if my herd went from being uh, where you probably

1262
01:14:22,840 --> 01:14:26,120
Speaker 2: could report the numbers. I don't, but you could, But

1263
01:14:26,160 --> 01:14:31,560
Speaker 2: the productivity of your herd doesn't show up on that.

1264
01:14:32,160 --> 01:14:32,719
Speaker 2: I understand.

1265
01:14:33,240 --> 01:14:35,439
Speaker 1: I can just that all that stuff's not getting capture.

1266
01:14:36,000 --> 01:14:39,840
Speaker 1: You're rehabilitating the landscape future generations. That's not showing up

1267
01:14:39,840 --> 01:14:40,720
Speaker 1: in your quarterly.

1268
01:14:40,520 --> 01:14:44,960
Speaker 2: Report, and it manifests itself as wealth generationally. We we

1269
01:14:45,640 --> 01:14:47,479
Speaker 2: we got a little management team. I used to run

1270
01:14:47,520 --> 01:14:55,639
Speaker 2: that farm absolutely autonomous, just me, and as it grew,

1271
01:14:55,960 --> 01:14:59,280
Speaker 2: we've we've brought other people in management, and we have

1272
01:14:59,320 --> 01:15:04,439
Speaker 2: a meeting once a week Thursday afternoon my office, and

1273
01:15:04,600 --> 01:15:07,600
Speaker 2: we talk about things we want to do. And it

1274
01:15:07,760 --> 01:15:11,920
Speaker 2: never pays off in the month, a quarter, or a year.

1275
01:15:11,960 --> 01:15:18,640
Speaker 2: It's all very long term, very generational. I love that,

1276
01:15:19,160 --> 01:15:20,520
Speaker 2: but it's very problematic.

1277
01:15:22,760 --> 01:15:27,160
Speaker 1: Since you're selling all the stuff that you produce, and

1278
01:15:27,200 --> 01:15:30,240
Speaker 1: you know how many acres you got, you kind of have.

1279
01:15:30,200 --> 01:15:30,879
Speaker 2: A rare.

1280
01:15:32,160 --> 01:15:33,479
Speaker 1: And I know this goes against a little bit of

1281
01:15:33,520 --> 01:15:36,120
Speaker 1: what you're just saying that you don't do a quarterly report,

1282
01:15:36,360 --> 01:15:38,040
Speaker 1: but you probably wind up with a kind of rare

1283
01:15:38,120 --> 01:15:48,320
Speaker 1: glimpse for an egg producer into this acreage spins off

1284
01:15:49,920 --> 01:15:53,639
Speaker 1: this many dollars worth of food because it doesn't get

1285
01:15:53,640 --> 01:15:58,200
Speaker 1: lost in some broader equation, meaning if you grow corn

1286
01:15:58,360 --> 01:16:01,360
Speaker 1: and you're selling corn for ethnol, you're selling corn for feed,

1287
01:16:05,320 --> 01:16:07,720
Speaker 1: You're never you would never answer the question like, oh no,

1288
01:16:07,840 --> 01:16:14,640
Speaker 1: my corn helped produce x gallons of ethanol gasoline, and

1289
01:16:14,680 --> 01:16:18,160
Speaker 1: my corn helped produce x pounds of beef down the road.

1290
01:16:19,120 --> 01:16:21,160
Speaker 1: But at the end of the year, you you know,

1291
01:16:22,960 --> 01:16:26,920
Speaker 1: like like you know how many dollars worth, how many units?

1292
01:16:27,439 --> 01:16:29,160
Speaker 1: However the hell you want to measure it? You know

1293
01:16:29,240 --> 01:16:30,200
Speaker 1: what came off that place?

1294
01:16:30,280 --> 01:16:32,680
Speaker 2: You know we do, and we know that we got that,

1295
01:16:32,720 --> 01:16:33,800
Speaker 2: we got, I gotta, I got.

1296
01:16:33,880 --> 01:16:35,880
Speaker 1: I mean, that's got to be an interesting number. Do

1297
01:16:35,439 --> 01:16:39,280
Speaker 1: you does that number? Does that ratio as you've become

1298
01:16:39,360 --> 01:16:43,960
Speaker 1: better and learned this has that like dollars of off

1299
01:16:44,000 --> 01:16:47,080
Speaker 1: put per acre of land? Have you gotten better at it?

1300
01:16:48,040 --> 01:16:51,640
Speaker 2: Yes, yes, a lot better. And I can I mean,

1301
01:16:51,640 --> 01:16:53,200
Speaker 2: I don't even need to look at those finacials. I

1302
01:16:53,240 --> 01:16:55,200
Speaker 2: can tell that riding around in my jeep. I mean

1303
01:16:55,200 --> 01:16:58,519
Speaker 2: it looks better. I mean, I mean I can, I

1304
01:16:58,560 --> 01:16:59,679
Speaker 2: mean it looks better.

1305
01:17:03,160 --> 01:17:06,160
Speaker 1: Years ago, I was with my friend Kevin Murphy down

1306
01:17:06,160 --> 01:17:11,439
Speaker 1: in Kentucky and we were driving around hunting cottontail rabbits,

1307
01:17:12,560 --> 01:17:15,360
Speaker 1: and he was telling me it was gonna be a

1308
01:17:15,360 --> 01:17:16,960
Speaker 1: good day at hunting because we were going to an

1309
01:17:16,960 --> 01:17:21,240
Speaker 1: Amish farm. And he said, that's where the game is at.

1310
01:17:21,280 --> 01:17:23,080
Speaker 1: The game is on the Amish farm. And he pointed

1311
01:17:23,120 --> 01:17:26,160
Speaker 1: to a number of farming practices. And this is gonna

1312
01:17:26,160 --> 01:17:28,360
Speaker 1: sound like horror. I don't mean, you know, it's gonna

1313
01:17:28,360 --> 01:17:32,600
Speaker 1: sound like I'm generalizing. He had a call. You just

1314
01:17:32,640 --> 01:17:35,799
Speaker 1: got there. Looked different. He's like, their practices are different,

1315
01:17:36,040 --> 01:17:40,360
Speaker 1: the equipment uses different, the philosophy is different. They're they're

1316
01:17:40,400 --> 01:17:45,639
Speaker 1: they're hell on predators, they have dirty fence rows. It's

1317
01:17:45,680 --> 01:17:48,600
Speaker 1: just different. And you go there and and all the

1318
01:17:48,640 --> 01:17:51,120
Speaker 1: time running around, man, the only quail we saw.

1319
01:17:52,400 --> 01:17:54,599
Speaker 2: Heck yeah, was on that Armish farm.

1320
01:17:55,040 --> 01:17:57,080
Speaker 1: And he'd point around and be like that, that that.

1321
01:17:57,360 --> 01:17:59,000
Speaker 1: But you just knew when you got there, You're like, wow,

1322
01:17:59,040 --> 01:18:03,800
Speaker 1: it is a different looking for so absolutely yeah, because

1323
01:18:04,320 --> 01:18:05,720
Speaker 1: you'll have the vocabulary for it.

1324
01:18:05,840 --> 01:18:12,640
Speaker 2: Well, so there are One of the most beneficial creatures

1325
01:18:12,720 --> 01:18:16,040
Speaker 2: on my farm is a dung beetle. It's a beetle

1326
01:18:16,120 --> 01:18:23,360
Speaker 2: that is flighted beetle that is drawn to fresh manure,

1327
01:18:23,560 --> 01:18:28,040
Speaker 2: particular calmnure, and when the dung beetle gets there, it

1328
01:18:29,840 --> 01:18:34,680
Speaker 2: somehow gathers the most nutrient dense part of the feces,

1329
01:18:35,080 --> 01:18:37,639
Speaker 2: and that fresh always went as fresh. If it's been

1330
01:18:37,680 --> 01:18:40,519
Speaker 2: there a while, they don't go to it. And it

1331
01:18:40,720 --> 01:18:46,599
Speaker 2: digs a vertical eighteen inch shaft into the ground about

1332
01:18:46,640 --> 01:18:50,280
Speaker 2: as big as that pencil, and the dirt comes up

1333
01:18:50,280 --> 01:18:53,479
Speaker 2: in the top of the menu and it packs. It

1334
01:18:53,560 --> 01:18:57,320
Speaker 2: lays its eggs in the bottom and packs that tunnel

1335
01:18:57,560 --> 01:19:00,519
Speaker 2: with the most nutrient rich part of at manure.

1336
01:19:02,320 --> 01:19:03,960
Speaker 1: I know the animal, but I didn't know they did that.

1337
01:19:04,000 --> 01:19:05,000
Speaker 2: Oh man, it's wonderful.

1338
01:19:05,080 --> 01:19:08,840
Speaker 1: I can pay someone to do that.

1339
01:19:09,240 --> 01:19:12,160
Speaker 2: Well, guess what I said. We saw dunge beatles when

1340
01:19:12,160 --> 01:19:14,519
Speaker 2: I was a kid. I didn't see them anymore. There

1341
01:19:14,560 --> 01:19:17,719
Speaker 2: was a few give cattle wormer to kill the worms

1342
01:19:17,720 --> 01:19:21,000
Speaker 2: in the system. It's toxic to the dung beetle when

1343
01:19:21,000 --> 01:19:23,800
Speaker 2: they lay the eggs and the feces. No kidding, really,

1344
01:19:24,720 --> 01:19:28,519
Speaker 2: So when I saw dung beetles, I can I know

1345
01:19:28,560 --> 01:19:30,559
Speaker 2: right where I was. I was driving along. I saw

1346
01:19:30,640 --> 01:19:32,720
Speaker 2: that dirt at the top of that fresh cavity, and

1347
01:19:32,760 --> 01:19:36,400
Speaker 2: I slammed on brakes and backed up, and it was

1348
01:19:36,479 --> 01:19:41,679
Speaker 2: dung beleaedles. I got you. Yeah, and now I got

1349
01:19:41,720 --> 01:19:46,720
Speaker 2: a lot of them, and it stratify.

1350
01:19:46,920 --> 01:19:54,439
Speaker 1: It keeps thee because uh sorry about that, it keeps

1351
01:19:54,479 --> 01:19:56,040
Speaker 1: the nutrients from stratifying.

1352
01:19:56,520 --> 01:19:59,080
Speaker 2: You're just being on the top with the manua goes

1353
01:20:00,240 --> 01:20:04,760
Speaker 2: the water can go down in those holes. I mean,

1354
01:20:04,760 --> 01:20:09,720
Speaker 2: it's just and the horn flies and face flies, which

1355
01:20:09,760 --> 01:20:14,080
Speaker 2: are a horrible blood sucking insect for cattle raised in

1356
01:20:14,160 --> 01:20:17,439
Speaker 2: that fresh cattle manule. That's where they leave their eggs too.

1357
01:20:19,160 --> 01:20:23,240
Speaker 2: When they those dung beetles aerate it, you don't get

1358
01:20:23,320 --> 01:20:28,000
Speaker 2: the horn flies the face flies production. So it's like

1359
01:20:28,160 --> 01:20:32,560
Speaker 2: it's like a gift from God in terms of insect control, fertility,

1360
01:20:32,680 --> 01:20:37,760
Speaker 2: land management. We killed them and spent money to buy

1361
01:20:39,200 --> 01:20:43,519
Speaker 2: cattle worma to kill them, and and list goes on.

1362
01:20:43,600 --> 01:20:50,639
Speaker 2: And there's dozens of technology products that I spent money

1363
01:20:50,680 --> 01:20:55,400
Speaker 2: for that that did more harm than good. You know.

1364
01:20:55,439 --> 01:20:57,760
Speaker 2: That's that's the way I really think that's the way

1365
01:20:57,800 --> 01:21:00,280
Speaker 2: that works in higher culture. I'm not speaking out of

1366
01:21:00,320 --> 01:21:04,160
Speaker 2: the other areas. I got it. I had the first

1367
01:21:04,280 --> 01:21:06,719
Speaker 2: drum of anybody I know, and we don't know about

1368
01:21:06,720 --> 01:21:10,360
Speaker 2: our either third or fourth one. I love. I'm not

1369
01:21:10,400 --> 01:21:13,960
Speaker 2: opposed to technology. That's a good cell phone. I flew

1370
01:21:14,000 --> 01:21:17,400
Speaker 2: down there because I kept beeping. I love I mean,

1371
01:21:17,439 --> 01:21:23,320
Speaker 2: I love technology, but technology in a complex system does

1372
01:21:23,360 --> 01:21:26,160
Speaker 2: not work well. In a complicated system that works great.

1373
01:21:26,600 --> 01:21:29,480
Speaker 2: So we have to very judiciously decide.

1374
01:21:33,200 --> 01:21:35,800
Speaker 1: Uh, when you moved away from de Warmer? Did you

1375
01:21:35,840 --> 01:21:38,200
Speaker 1: move away from you? Don't do any kind of hormones

1376
01:21:38,200 --> 01:21:42,160
Speaker 1: on here? We're don't And that was the That was

1377
01:21:42,200 --> 01:21:43,559
Speaker 1: the implant hormone, right.

1378
01:21:43,800 --> 01:21:47,200
Speaker 2: Yeah, mostly there are a number of them, but the

1379
01:21:47,200 --> 01:21:51,639
Speaker 2: most common one goes in the skin behind the ear

1380
01:21:52,160 --> 01:21:54,760
Speaker 2: and it slowly releases over about a used to be

1381
01:21:54,800 --> 01:21:56,439
Speaker 2: one hundred days. I ain't used it for a long time.

1382
01:21:56,439 --> 01:21:57,679
Speaker 2: I don't know what you got now, Jude.

1383
01:21:57,720 --> 01:21:59,360
Speaker 1: I got more and more friends doing that. Man, you

1384
01:21:59,360 --> 01:22:01,200
Speaker 1: don't do that too it would you do it?

1385
01:22:01,400 --> 01:22:02,400
Speaker 2: I did do it for a year.

1386
01:22:02,760 --> 01:22:05,719
Speaker 1: You and you they do it in their butt. No,

1387
01:22:07,000 --> 01:22:08,200
Speaker 1: you know you guys know about this.

1388
01:22:08,760 --> 01:22:11,960
Speaker 4: No, I can guess who you've been hanging out with.

1389
01:22:15,840 --> 01:22:18,760
Speaker 1: I'll tell you who later. He's he's really on the

1390
01:22:18,800 --> 01:22:20,599
Speaker 1: fence about it because he's got friends.

1391
01:22:20,800 --> 01:22:24,040
Speaker 2: What look like I do.

1392
01:22:24,640 --> 01:22:27,800
Speaker 1: He's got friends, and there's a lot of he's got friends.

1393
01:22:27,800 --> 01:22:31,240
Speaker 1: There's a lot of guys that are getting a little capsule.

1394
01:22:31,720 --> 01:22:35,160
Speaker 1: You cut the skin on your butt and you put

1395
01:22:35,160 --> 01:22:37,840
Speaker 1: this little capsule in there, and then and then you're

1396
01:22:37,960 --> 01:22:40,160
Speaker 1: you're and then you're and then you're like you know, you're,

1397
01:22:40,240 --> 01:22:42,120
Speaker 1: you're whatever. You're more of a superman.

1398
01:22:42,400 --> 01:22:44,479
Speaker 2: This this this, I hope this doesn't take too long.

1399
01:22:44,479 --> 01:22:45,559
Speaker 2: I'll try to make this short.

1400
01:22:45,600 --> 01:22:46,439
Speaker 1: But you wouldn't do that.

1401
01:22:46,520 --> 01:22:49,599
Speaker 2: I would. Hell, I went to university. But I'll tell

1402
01:22:49,600 --> 01:22:51,519
Speaker 2: you this. When I was at University of Georgia in

1403
01:22:51,560 --> 01:22:59,000
Speaker 2: the seventies, uh, steroids which just just a rumor, and

1404
01:22:59,160 --> 01:23:02,160
Speaker 2: I heard about them, and I told my guy that

1405
01:23:02,240 --> 01:23:04,439
Speaker 2: I thought Mike could get me some steroids, give me

1406
01:23:04,479 --> 01:23:10,439
Speaker 2: some of that for you. Yeah, And he didn't. But

1407
01:23:10,479 --> 01:23:13,840
Speaker 2: I happened to have reproductive physiology that quarter. There's a

1408
01:23:13,920 --> 01:23:17,320
Speaker 2: quarter system back then. And one of the things we

1409
01:23:17,360 --> 01:23:22,799
Speaker 2: did is we had one hundred mail chicks, little yellow chicks.

1410
01:23:23,200 --> 01:23:25,640
Speaker 2: You have to have them sack. Somebody got it to

1411
01:23:25,760 --> 01:23:29,400
Speaker 2: notice what they're doing. These were males and we divided

1412
01:23:29,439 --> 01:23:33,080
Speaker 2: them up into ten little pens. It was not going

1413
01:23:33,080 --> 01:23:37,080
Speaker 2: out of my welfare. And every day for that quarter,

1414
01:23:37,880 --> 01:23:40,880
Speaker 2: somebody had to inject all one hundred. You signed up.

1415
01:23:40,960 --> 01:23:43,679
Speaker 2: You know, I'll take these days and you take those days.

1416
01:23:45,120 --> 01:23:47,599
Speaker 2: And we didn't know what we were giving them. All

1417
01:23:47,600 --> 01:23:51,479
Speaker 2: of them got the same dosage of whatever was on

1418
01:23:51,479 --> 01:23:55,200
Speaker 2: that bottom on top of their pen. And at the

1419
01:23:55,360 --> 01:23:58,800
Speaker 2: end of the quarter we killed them and dissected them

1420
01:23:58,920 --> 01:24:04,000
Speaker 2: and weighed their test and I was really starting to

1421
01:24:04,040 --> 01:24:09,280
Speaker 2: want some steroids because those on the end they had

1422
01:24:09,320 --> 01:24:12,839
Speaker 2: a you know, the comb that dropped off. Oh yeah,

1423
01:24:13,040 --> 01:24:15,639
Speaker 2: and when you when you'd opened, when you open the pin, they.

1424
01:24:15,640 --> 01:24:19,240
Speaker 1: Come at you on the other end, souped up chickens.

1425
01:24:19,360 --> 01:24:21,200
Speaker 2: Yeah, they were just still a little yellow up. They

1426
01:24:21,200 --> 01:24:24,680
Speaker 2: would run from you. Said, oh hell yeah, that's that steroid.

1427
01:24:24,720 --> 01:24:28,080
Speaker 2: I'm gonna kick me some of that step. I can't wait.

1428
01:24:29,000 --> 01:24:31,360
Speaker 2: So the last well, I hadn't got it yet. Last

1429
01:24:31,439 --> 01:24:35,799
Speaker 2: day we killed them and dissected them, and those little

1430
01:24:35,800 --> 01:24:39,000
Speaker 2: birds that run from you on that end, it was

1431
01:24:39,040 --> 01:24:41,799
Speaker 2: different doses all the way up from zero to whatever.

1432
01:24:43,560 --> 01:24:47,120
Speaker 2: The testicles that big, those down there, they had the

1433
01:24:47,160 --> 01:24:51,000
Speaker 2: comb dripping down. I couldn't find them a little a

1434
01:24:51,120 --> 01:24:54,400
Speaker 2: little little gobble fat that I guess must have been it.

1435
01:24:54,560 --> 01:25:00,479
Speaker 1: So I told them, my guy, I don't want to

1436
01:25:00,479 --> 01:25:02,400
Speaker 1: get into this too long. But There's a couple of

1437
01:25:02,400 --> 01:25:04,320
Speaker 1: details I got to add in here about this is

1438
01:25:04,560 --> 01:25:09,120
Speaker 1: the guys I know are post reproductive age. I caught

1439
01:25:09,160 --> 01:25:12,479
Speaker 1: wind of this and I told my wife, I'm like, listen,

1440
01:25:12,520 --> 01:25:14,720
Speaker 1: if these people that I know do this and they

1441
01:25:14,720 --> 01:25:18,080
Speaker 1: can start smoking me up a hill, I'm gonna have

1442
01:25:18,080 --> 01:25:22,200
Speaker 1: a hard time not doing it. Really, Yeah, I don't

1443
01:25:22,200 --> 01:25:24,240
Speaker 1: want what I don't want to get smoked up going

1444
01:25:24,320 --> 01:25:24,720
Speaker 1: up a hill.

1445
01:25:25,160 --> 01:25:28,400
Speaker 5: Is this human growth horm? Is this steroids?

1446
01:25:28,560 --> 01:25:31,160
Speaker 1: It's probably I could start gaming people, but I don't

1447
01:25:31,200 --> 01:25:33,360
Speaker 1: want to name them. But if they can, if it

1448
01:25:33,400 --> 01:25:35,600
Speaker 1: turns out that they went from me being able to

1449
01:25:35,600 --> 01:25:38,040
Speaker 1: smoke them up a hill to them smoking me up

1450
01:25:38,120 --> 01:25:40,840
Speaker 1: a hill, it's gonna be very hard for me to

1451
01:25:40,880 --> 01:25:41,360
Speaker 1: stomach this.

1452
01:25:43,040 --> 01:25:51,080
Speaker 4: A little way to go.

1453
01:25:48,760 --> 01:25:54,120
Speaker 2: Years old, How quick you get up at hell, you're

1454
01:25:54,120 --> 01:26:06,680
Speaker 2: gonna wish all your stuff is still away.

1455
01:26:07,320 --> 01:26:13,800
Speaker 1: There's there's a conversation often having my kids. My kids

1456
01:26:13,800 --> 01:26:16,280
Speaker 1: will laugh about you know, we'll laugh about stuff like

1457
01:26:16,320 --> 01:26:18,080
Speaker 1: my dadd used to love to tell the story that

1458
01:26:18,120 --> 01:26:20,920
Speaker 1: when he was in the in the military, and you'd

1459
01:26:20,960 --> 01:26:24,840
Speaker 1: get your c rations, there'd be three cigarettes in there, right,

1460
01:26:25,400 --> 01:26:27,160
Speaker 1: and you talk about that, you'd be on a forest

1461
01:26:27,200 --> 01:26:31,200
Speaker 1: march and they would call a cigarette break right, and

1462
01:26:31,520 --> 01:26:35,040
Speaker 1: then you know, and we laugh now like, oh, how stupid.

1463
01:26:35,920 --> 01:26:40,559
Speaker 1: And I'm always telling my kids, I'm like you right now, us,

1464
01:26:40,640 --> 01:26:45,439
Speaker 1: right now, we are doing things right now, maybe some

1465
01:26:45,479 --> 01:26:50,160
Speaker 1: things that we even think are good that your kids

1466
01:26:50,280 --> 01:26:55,360
Speaker 1: will sit and laugh about. How in the world could

1467
01:26:55,400 --> 01:26:57,400
Speaker 1: we have been so stupid?

1468
01:26:57,880 --> 01:26:58,480
Speaker 2: Absolutely?

1469
01:27:00,439 --> 01:27:02,360
Speaker 1: What are some of the things that you look at

1470
01:27:02,439 --> 01:27:05,400
Speaker 1: in our agricultural practices? What are some of the things

1471
01:27:05,479 --> 01:27:06,880
Speaker 1: that you look at in the one hundred years, I'll

1472
01:27:06,880 --> 01:27:09,200
Speaker 1: be like, can you believe those idiots? Not only did

1473
01:27:09,240 --> 01:27:10,280
Speaker 1: that mean?

1474
01:27:10,400 --> 01:27:13,480
Speaker 2: I used to so I used to artificially or artificially

1475
01:27:13,520 --> 01:27:18,559
Speaker 2: insumminate my cattle. I would buy a semen, pay for it,

1476
01:27:20,000 --> 01:27:22,880
Speaker 2: and then put it in the in the cow when

1477
01:27:22,920 --> 01:27:27,680
Speaker 2: she was in estras or heat. And the semen I

1478
01:27:27,760 --> 01:27:34,559
Speaker 2: was buying were from these big, monster, non natural bulls.

1479
01:27:34,760 --> 01:27:36,840
Speaker 2: They had a you know, their claim to fame is

1480
01:27:36,880 --> 01:27:41,600
Speaker 2: they had a RUBI that big, And it was like

1481
01:27:41,720 --> 01:27:45,000
Speaker 2: that was the only thing that mattered, you know, And

1482
01:27:45,080 --> 01:27:48,800
Speaker 2: today you know I close. Not only do I not

1483
01:27:48,920 --> 01:27:52,560
Speaker 2: buy semen anymore, I closed the herd. It's a I

1484
01:27:52,600 --> 01:27:56,320
Speaker 2: don't bring animals in now. I saved my own bulls,

1485
01:27:57,960 --> 01:28:01,400
Speaker 2: and I've been to that for ten years. The herd

1486
01:28:01,479 --> 01:28:04,439
Speaker 2: is so much better. You know, we we put up

1487
01:28:04,760 --> 01:28:10,560
Speaker 2: you know you may have I'll get these numbers confused.

1488
01:28:10,560 --> 01:28:16,840
Speaker 2: But a friend of mine had a herd of a

1489
01:28:17,000 --> 01:28:21,080
Speaker 2: hundred and something one hundred and ten or something cows

1490
01:28:21,360 --> 01:28:26,600
Speaker 2: that he artificially assimilated with different bulls, and he was

1491
01:28:27,400 --> 01:28:30,840
Speaker 2: selling bull purebred bull calves. So he had to know

1492
01:28:30,880 --> 01:28:34,800
Speaker 2: who the daddy was. I don't ever do. So he

1493
01:28:34,960 --> 01:28:38,640
Speaker 2: take hair from the tailhead and send it off and

1494
01:28:38,680 --> 01:28:49,479
Speaker 2: they genetically sex record tell who the bulls. And he

1495
01:28:49,600 --> 01:28:53,759
Speaker 2: had done that with some natural breeding, put ten bulls

1496
01:28:53,760 --> 01:29:00,679
Speaker 2: in with one hundred and twenty cows, and one bull

1497
01:29:01,000 --> 01:29:07,800
Speaker 2: had like fifty six calves, one had twelve, and then

1498
01:29:07,840 --> 01:29:12,160
Speaker 2: some four and ones and twos and c rood. Well,

1499
01:29:12,200 --> 01:29:15,840
Speaker 2: now I want my in my herd. I want the

1500
01:29:15,880 --> 01:29:19,120
Speaker 2: bullet got fifty six calves. I don't care if it's

1501
01:29:19,200 --> 01:29:22,679
Speaker 2: real by it's this big or this big. I want

1502
01:29:22,720 --> 01:29:27,280
Speaker 2: that libid that that you know that bull felt good.

1503
01:29:28,800 --> 01:29:32,639
Speaker 2: He was eating well, he was a fishing. He had

1504
01:29:32,640 --> 01:29:33,240
Speaker 2: it going on.

1505
01:29:34,360 --> 01:29:38,280
Speaker 1: Yeah, he's like on the mountain around the prairie or whatever.

1506
01:29:38,360 --> 01:29:39,400
Speaker 1: At a time like you'd have.

1507
01:29:39,400 --> 01:29:48,400
Speaker 2: Been siren, Siren the buffalo herd or what. So you

1508
01:29:48,439 --> 01:29:51,760
Speaker 2: know that I'm I'm telling that story and reference to

1509
01:29:51,840 --> 01:29:55,920
Speaker 2: you about the silly things we do, and and there

1510
01:29:55,920 --> 01:29:58,680
Speaker 2: are a bunch of others. But you know, just now

1511
01:29:58,720 --> 01:30:04,599
Speaker 2: that was the wrong thing, ending money too, not improve

1512
01:30:04,800 --> 01:30:05,240
Speaker 2: my herd.

1513
01:30:06,560 --> 01:30:09,280
Speaker 1: So that's not so much an issue of that's not

1514
01:30:09,320 --> 01:30:12,439
Speaker 1: so much an issue of AI. It's an issue of

1515
01:30:14,920 --> 01:30:16,400
Speaker 1: the source for the semen.

1516
01:30:16,479 --> 01:30:21,599
Speaker 2: Right. No, well, I mean, are those AI I've learned

1517
01:30:21,680 --> 01:30:25,280
Speaker 2: as artificial intelligence when I when I was, it's always

1518
01:30:25,320 --> 01:30:26,800
Speaker 2: been an artificial insemination to.

1519
01:30:26,800 --> 01:30:28,559
Speaker 1: Me, Oh, I still think that's what it means. Good

1520
01:30:28,560 --> 01:30:34,760
Speaker 1: for you.

1521
01:30:30,800 --> 01:30:32,720
Speaker 2: Younger than you must be.

1522
01:30:32,960 --> 01:30:35,800
Speaker 1: But in the argument for it, though, the argument for

1523
01:30:35,920 --> 01:30:38,240
Speaker 1: artificial insemination, as I understand it, you can crack me

1524
01:30:38,280 --> 01:30:45,599
Speaker 1: on this. An argument for it is that you can synchronize, correct,

1525
01:30:45,640 --> 01:30:48,760
Speaker 1: you can synchronize so that your cows are calving within

1526
01:30:48,800 --> 01:30:50,160
Speaker 1: a very narrow window of time.

1527
01:30:50,400 --> 01:30:53,360
Speaker 2: Those two shaparate things. So I'm confusing stuff. Okay, you know,

1528
01:30:53,520 --> 01:30:56,599
Speaker 2: I mean, it's all right, I get it. But they

1529
01:30:56,640 --> 01:31:02,160
Speaker 2: do use hormone implants to synchronize the cow. And but

1530
01:31:02,160 --> 01:31:04,360
Speaker 2: they could they could still breed them naturally. That's a

1531
01:31:04,400 --> 01:31:05,880
Speaker 2: separate shot that.

1532
01:31:05,960 --> 01:31:10,000
Speaker 1: Okay. Yeah, so you can use a hormone to bring

1533
01:31:10,080 --> 01:31:14,519
Speaker 1: them into estrous heat. Okay, so that you then because

1534
01:31:14,560 --> 01:31:17,040
Speaker 1: they have the same the gestation period is pretty.

1535
01:31:16,760 --> 01:31:19,200
Speaker 2: Fixed two eighty six ages.

1536
01:31:19,240 --> 01:31:22,400
Speaker 1: Okay, So you use a hormone to bring them in

1537
01:31:23,120 --> 01:31:26,280
Speaker 1: at the same time, and then you can breed them

1538
01:31:26,640 --> 01:31:29,920
Speaker 1: naturally or breed them with artificial essemination to make sure

1539
01:31:29,920 --> 01:31:32,160
Speaker 1: that then you're when it comes to calving time, you

1540
01:31:32,200 --> 01:31:35,880
Speaker 1: have a narrow window, a narrower window of calving time

1541
01:31:36,160 --> 01:31:39,000
Speaker 1: and requires less of your attention to be around to

1542
01:31:39,000 --> 01:31:40,599
Speaker 1: make sure everybody births out.

1543
01:31:41,120 --> 01:31:43,000
Speaker 5: You also don't do that, right.

1544
01:31:43,040 --> 01:31:46,400
Speaker 2: Don't so that and and you know it does everything

1545
01:31:46,479 --> 01:31:49,760
Speaker 2: say is true, But mostly people do that so they

1546
01:31:49,760 --> 01:31:53,840
Speaker 2: can put together the truck load of same size, same

1547
01:31:53,960 --> 01:31:57,439
Speaker 2: sex cattle. Sex is that doesn't control sex, but you

1548
01:31:58,800 --> 01:32:01,479
Speaker 2: and that doesn't mean anything to me because we slaughter

1549
01:32:01,600 --> 01:32:04,639
Speaker 2: cows fIF to two weeks a year. Uhh.

1550
01:32:04,880 --> 01:32:07,400
Speaker 1: So that, yeah, that's interesting. You've kind of pulled yourself

1551
01:32:07,439 --> 01:32:07,920
Speaker 1: away from.

1552
01:32:07,880 --> 01:32:10,960
Speaker 2: That need everything. We pulled ourself away from everything.

1553
01:32:13,160 --> 01:32:15,960
Speaker 1: You don't need to have everybody on such and such

1554
01:32:16,080 --> 01:32:17,880
Speaker 1: day always six hundred pounds.

1555
01:32:17,960 --> 01:32:21,840
Speaker 2: Don't want it, don't want it. I want to have calves.

1556
01:32:22,439 --> 01:32:26,080
Speaker 2: We were so we have a herd where we are

1557
01:32:26,240 --> 01:32:30,080
Speaker 2: are finishing our animals on grass, and once a month

1558
01:32:30,160 --> 01:32:33,640
Speaker 2: we shut that herd up and pull out everything visually

1559
01:32:33,760 --> 01:32:39,120
Speaker 2: that we think is big enough ready to slaughter. And

1560
01:32:39,200 --> 01:32:41,040
Speaker 2: that's how we do it. And I don't want to

1561
01:32:41,080 --> 01:32:44,120
Speaker 2: have all of them one month and eleven months nothing

1562
01:32:44,200 --> 01:32:44,599
Speaker 2: going on.

1563
01:32:45,720 --> 01:32:47,320
Speaker 1: Does anybody hunt on your farm?

1564
01:32:47,600 --> 01:32:49,720
Speaker 2: Yeah? I did an employees hunting. I was. I was

1565
01:32:49,760 --> 01:32:52,760
Speaker 2: an avid hunter all my life. That that that and uh,

1566
01:32:54,000 --> 01:32:58,240
Speaker 2: uh cease to do that when I got so involved

1567
01:32:58,240 --> 01:33:02,400
Speaker 2: in my career and I still have employees at hunt.

1568
01:33:03,200 --> 01:33:06,599
Speaker 1: Uh, that's funny mentioned that because I was like being

1569
01:33:06,640 --> 01:33:11,120
Speaker 1: brought up, we hunted different farms in our community, and

1570
01:33:11,240 --> 01:33:14,680
Speaker 1: my dad was it was just an explaining why. I mean,

1571
01:33:15,120 --> 01:33:17,599
Speaker 1: at that time farmers did hunt. I mean they did

1572
01:33:17,640 --> 01:33:20,519
Speaker 1: not hunt in our area. My Dad's like, the last

1573
01:33:20,520 --> 01:33:22,799
Speaker 1: thing these people want to deal with is a dead animal.

1574
01:33:24,520 --> 01:33:27,720
Speaker 1: It's like it's just like the last the end of

1575
01:33:27,720 --> 01:33:30,120
Speaker 1: the day. And he went going have another dead thing,

1576
01:33:30,160 --> 01:33:31,400
Speaker 1: you know what, You got to mess with it because

1577
01:33:31,400 --> 01:33:32,960
Speaker 1: it's just not like a fun thing for him.

1578
01:33:34,040 --> 01:33:36,920
Speaker 2: The way that worked in my community growing up here,

1579
01:33:37,560 --> 01:33:40,760
Speaker 2: when when we were kids, we were avid hunters and

1580
01:33:40,800 --> 01:33:45,080
Speaker 2: fishermen and trappers because that's what you did. My dad

1581
01:33:45,080 --> 01:33:47,280
Speaker 2: didn't know how to play baseball. He wouldn't gonna be

1582
01:33:47,280 --> 01:33:50,840
Speaker 2: able to tell me how to. You know, that wasn't

1583
01:33:50,880 --> 01:33:54,800
Speaker 2: something to happen. So the way we kids spent our

1584
01:33:54,840 --> 01:33:57,960
Speaker 2: time was and the television was a black and white

1585
01:33:57,960 --> 01:34:01,400
Speaker 2: television by Dead Big and I'm gonna watch said. So

1586
01:34:01,479 --> 01:34:06,639
Speaker 2: we hunted and fished and trapped, and at a certain age,

1587
01:34:06,880 --> 01:34:12,439
Speaker 2: your daddy said you're coming with me tomorrow ten, twelve, fourteen.

1588
01:34:12,840 --> 01:34:16,040
Speaker 2: Depends on the kid and the daddy. And then you

1589
01:34:16,200 --> 01:34:19,160
Speaker 2: were working. And you know, I mean, it wasn't that

1590
01:34:19,200 --> 01:34:21,759
Speaker 2: I didn't have time to hunt or fish. I did.

1591
01:34:22,240 --> 01:34:23,280
Speaker 2: I just had my interests.

1592
01:34:24,520 --> 01:34:26,840
Speaker 1: And oh you mean when he said you're coming with me,

1593
01:34:26,960 --> 01:34:30,200
Speaker 1: he meant working, Yeah, not hunting. Yeah, he's pulling you

1594
01:34:30,240 --> 01:34:33,600
Speaker 1: off hunting. Correct, that's pulling you off of hunting and

1595
01:34:33,600 --> 01:34:34,479
Speaker 1: fishing to get working.

1596
01:34:34,560 --> 01:34:39,000
Speaker 2: Yeah. And I could still have hunted and fish, but

1597
01:34:39,040 --> 01:34:41,640
Speaker 2: by that time I wanted to run the farm. That

1598
01:34:41,760 --> 01:34:44,080
Speaker 2: was that was my my goal.

1599
01:34:44,880 --> 01:34:48,519
Speaker 1: When you look at yeah, I don't, I know, I

1600
01:34:48,560 --> 01:34:50,160
Speaker 1: don't I'm not asked. I don't want to embarrass you,

1601
01:34:50,200 --> 01:34:52,719
Speaker 1: but you've been public about how many acres you guys

1602
01:34:52,840 --> 01:34:53,799
Speaker 1: have under control.

1603
01:34:54,080 --> 01:35:00,320
Speaker 2: You sharing, No, we own about two thousand acres inherited

1604
01:35:00,560 --> 01:35:05,160
Speaker 2: about thoules Makers. I bought about fowles Maker. We rent

1605
01:35:05,320 --> 01:35:09,080
Speaker 2: a little over a thousand acres and then we graize

1606
01:35:09,280 --> 01:35:12,400
Speaker 2: soul of otake or raise about two thousand acres, so

1607
01:35:12,400 --> 01:35:14,559
Speaker 2: it's a little over five thousand acres total.

1608
01:35:17,040 --> 01:35:20,280
Speaker 1: As you've gone through this process, and have you seen

1609
01:35:20,640 --> 01:35:23,720
Speaker 1: what have you seen in terms of wildlife?

1610
01:35:25,920 --> 01:35:26,120
Speaker 2: Yet?

1611
01:35:26,160 --> 01:35:29,680
Speaker 1: You have the dung beetle example, but what have you

1612
01:35:29,720 --> 01:35:32,080
Speaker 1: seen in terms of wildlife habitat? Does it wind up

1613
01:35:33,040 --> 01:35:35,960
Speaker 1: decreasing because you need to use so much because you

1614
01:35:36,080 --> 01:35:38,520
Speaker 1: found ways to use so much more of the landscape,

1615
01:35:38,560 --> 01:35:41,920
Speaker 1: meaning your goats and cheap have replaced deer.

1616
01:35:43,240 --> 01:35:46,400
Speaker 2: You know, that's a good that's a good question. And uh,

1617
01:35:46,800 --> 01:35:53,559
Speaker 2: but the wildlife has increased. But the sportsman and you

1618
01:35:53,680 --> 01:35:57,120
Speaker 2: it's not going to like this much. When you manage

1619
01:35:57,120 --> 01:36:00,760
Speaker 2: for the benefit of a specie, you do so at

1620
01:36:00,760 --> 01:36:05,120
Speaker 2: the detriment of the other species. Now, we don't see

1621
01:36:05,280 --> 01:36:08,200
Speaker 2: many deer on our farm. A lot of them passed

1622
01:36:08,200 --> 01:36:10,880
Speaker 2: through because it's open.

1623
01:36:11,479 --> 01:36:12,439
Speaker 1: You know.

1624
01:36:12,479 --> 01:36:17,000
Speaker 2: They they're on their way somewhere else. But there's a

1625
01:36:17,080 --> 01:36:20,639
Speaker 2: tremendous amount of life on the farm. I started mentioning

1626
01:36:20,640 --> 01:36:23,559
Speaker 2: this to you. I was I was driving down a

1627
01:36:23,680 --> 01:36:28,719
Speaker 2: paved road that bisects my farm three four years ago.

1628
01:36:29,640 --> 01:36:33,800
Speaker 2: And it wasn't late in the afternoon. I'm dusk, but

1629
01:36:33,880 --> 01:36:35,920
Speaker 2: it wasn't raining. And I went through a place of

1630
01:36:36,240 --> 01:36:39,920
Speaker 2: the road was wet. I said, what was that? And

1631
01:36:40,000 --> 01:36:44,400
Speaker 2: I backed up and there were millions of little toad frogs,

1632
01:36:44,720 --> 01:36:49,960
Speaker 2: I mean, fresh hatched toad frogs crossing the road. And

1633
01:36:50,000 --> 01:36:54,400
Speaker 2: since then, I've seen that probably three for sure, or

1634
01:36:54,400 --> 01:36:59,120
Speaker 2: two maybe three other times. And that is I hadn't

1635
01:36:59,120 --> 01:37:00,360
Speaker 2: seen that since I was kid.

1636
01:37:00,560 --> 01:37:05,560
Speaker 1: No, I can back up on this. That's changed everywhere.

1637
01:37:05,920 --> 01:37:08,160
Speaker 1: And what I mean, I said, I can back up

1638
01:37:08,240 --> 01:37:12,439
Speaker 1: on that. Like amphibians. Yeah, it's just changed.

1639
01:37:12,479 --> 01:37:15,320
Speaker 2: But I got. What I'm saying is I got them. Yeah, No,

1640
01:37:15,360 --> 01:37:18,400
Speaker 2: I'm with you here, and they've been calm in their back.

1641
01:37:20,120 --> 01:37:20,280
Speaker 1: You know.

1642
01:37:20,320 --> 01:37:23,920
Speaker 2: I was raised frog gigging and catching crawfish and you

1643
01:37:23,960 --> 01:37:26,680
Speaker 2: know the other things. And the amphibians, you're right, Amphibians

1644
01:37:26,840 --> 01:37:30,880
Speaker 2: like the canary and the coal mine to be indicator

1645
01:37:31,040 --> 01:37:38,920
Speaker 2: that it ain't right, and they're back on my farm.

1646
01:37:39,040 --> 01:37:39,639
Speaker 1: Of the side.

1647
01:37:39,800 --> 01:37:43,320
Speaker 2: We had seventy eight bald eagles on my farm. They

1648
01:37:43,320 --> 01:37:48,599
Speaker 2: were killing me. They were eating my chickens. And I mean,

1649
01:37:49,080 --> 01:37:51,080
Speaker 2: I told you chickens has not been a good deal

1650
01:37:51,080 --> 01:37:56,080
Speaker 2: of for us. That's not even counting this. But there

1651
01:37:56,120 --> 01:37:58,920
Speaker 2: was seventy eight. That's the d n R guy made

1652
01:37:58,920 --> 01:38:02,160
Speaker 2: that estimate. I don't know how you tel, but that's

1653
01:38:02,200 --> 01:38:05,760
Speaker 2: what he said. There's a bunch of them and they

1654
01:38:05,760 --> 01:38:09,000
Speaker 2: were about to put me hide the chick post pasture

1655
01:38:09,040 --> 01:38:09,879
Speaker 2: poltry business.

1656
01:38:10,000 --> 01:38:13,040
Speaker 1: And we are very because you got your chickens running

1657
01:38:13,040 --> 01:38:13,880
Speaker 1: around out in the opening.

1658
01:38:13,960 --> 01:38:17,640
Speaker 2: Yeah, it's I mean, and you know it's not like

1659
01:38:17,880 --> 01:38:20,719
Speaker 2: an eagle would go in there and get a bird

1660
01:38:20,800 --> 01:38:23,160
Speaker 2: and eat it. I don't I don't mind. It's like

1661
01:38:23,240 --> 01:38:27,719
Speaker 2: tithe into nature, you do that. But they would land

1662
01:38:27,800 --> 01:38:31,439
Speaker 2: and just kill and kill and kill and eat the

1663
01:38:31,920 --> 01:38:34,519
Speaker 2: ain't us out and kill another one and eat the

1664
01:38:34,560 --> 01:38:40,080
Speaker 2: ants and kill another one. So a very talented polstry

1665
01:38:40,200 --> 01:38:43,880
Speaker 2: manager that I had hired figured it out and our

1666
01:38:44,000 --> 01:38:50,080
Speaker 2: eagles losses went way down, so we u we fenced

1667
01:38:50,120 --> 01:38:54,960
Speaker 2: them so I have guardian dogs h anatole and shepherds

1668
01:38:55,040 --> 01:39:02,200
Speaker 2: and ockbosh and great Pyrenees and combinations there, and they

1669
01:39:02,439 --> 01:39:09,200
Speaker 2: work great on nocturnal predation, but in the daytime they

1670
01:39:09,240 --> 01:39:12,400
Speaker 2: go to the woods and go to sleep, and that's

1671
01:39:12,400 --> 01:39:17,519
Speaker 2: when the eagles come. So my postry guy figured out

1672
01:39:17,520 --> 01:39:22,320
Speaker 2: how to put up that electrified webbing around the Polsier

1673
01:39:22,400 --> 01:39:25,320
Speaker 2: house so they can still get out, but they can't

1674
01:39:25,479 --> 01:39:28,120
Speaker 2: the dogs. It wasn't to keep the chickens in, it's

1675
01:39:28,200 --> 01:39:32,639
Speaker 2: keep the dog from going to the woods. And it

1676
01:39:32,680 --> 01:39:34,400
Speaker 2: was it was. It was very effication.

1677
01:39:34,560 --> 01:39:36,720
Speaker 1: He was fencing his dog, fencing the dogs.

1678
01:39:36,439 --> 01:39:39,880
Speaker 2: Literally, and it worked worked very well. We still have

1679
01:39:40,160 --> 01:39:45,200
Speaker 2: some eagles and some predation, but it's not debilitating the

1680
01:39:45,200 --> 01:39:45,840
Speaker 2: way it was.

1681
01:39:48,240 --> 01:39:51,800
Speaker 1: So, how tell me about the process of doing your book?

1682
01:39:53,120 --> 01:39:53,800
Speaker 1: Did you write it?

1683
01:39:54,439 --> 01:39:54,799
Speaker 2: Yeah?

1684
01:39:55,280 --> 01:40:01,600
Speaker 1: Uh so uh the Mark Mark Gerald.

1685
01:40:02,720 --> 01:40:07,400
Speaker 2: Contacted me about solicited writing a book about us.

1686
01:40:07,680 --> 01:40:09,400
Speaker 1: Did he make you your proposal? All that?

1687
01:40:10,000 --> 01:40:24,360
Speaker 2: He didn't? Hm, it's in honesty, h h he uh

1688
01:40:24,520 --> 01:40:26,680
Speaker 2: we we. I talked to him the first time. I

1689
01:40:26,680 --> 01:40:29,000
Speaker 2: told him, I said, I can't write a book, you know,

1690
01:40:29,040 --> 01:40:32,080
Speaker 2: I just not the way that works. I had never

1691
01:40:32,120 --> 01:40:38,120
Speaker 2: read many books, and he uh ultimately found a wonderful

1692
01:40:38,200 --> 01:40:41,439
Speaker 2: person to write it in the lady name Amy Lee Grave,

1693
01:40:41,520 --> 01:40:44,880
Speaker 2: and who her we fell in love with. She's a sweetheart.

1694
01:40:45,160 --> 01:40:48,360
Speaker 2: She's by the same age as my daughters, and and

1695
01:40:48,600 --> 01:40:52,040
Speaker 2: uh and my daughter got involved in it, and she

1696
01:40:52,200 --> 01:40:55,759
Speaker 2: wanted the book, so she I worked for my daughter.

1697
01:40:55,840 --> 01:40:59,000
Speaker 1: So then you were able to start downloading all your knowledge.

1698
01:40:59,040 --> 01:41:03,320
Speaker 2: And we had a phone call every Friday afternoon for

1699
01:41:03,520 --> 01:41:09,080
Speaker 2: two three four hour phone call. And she's bread. You know,

1700
01:41:09,160 --> 01:41:13,080
Speaker 2: she would have a list of questions. She started asking

1701
01:41:13,120 --> 01:41:16,599
Speaker 2: her questions and she would challenge you. I say, I'd

1702
01:41:16,640 --> 01:41:20,120
Speaker 2: be telling my story. Responded to whatever she could asked about.

1703
01:41:20,320 --> 01:41:24,360
Speaker 2: And she said, wait a minute, you told me so,

1704
01:41:24,560 --> 01:41:28,320
Speaker 2: and so I said, I say that on July fifth,

1705
01:41:28,360 --> 01:41:29,040
Speaker 2: you told me.

1706
01:41:32,240 --> 01:41:33,360
Speaker 7: Getting cross examined.

1707
01:41:33,520 --> 01:41:39,320
Speaker 2: Yeah, I see that ain't the same thing I told you.

1708
01:41:39,320 --> 01:41:44,600
Speaker 2: You know, it was different, you know, but she she,

1709
01:41:44,880 --> 01:41:48,200
Speaker 2: you know, she when when I read the book, I

1710
01:41:48,240 --> 01:41:51,400
Speaker 2: couldn't believe how right she got it. Yeah.

1711
01:41:51,880 --> 01:41:53,840
Speaker 1: Well no, I mean it really. I mean it's like

1712
01:41:54,400 --> 01:41:55,960
Speaker 1: it's like you're telling the stuff.

1713
01:41:56,680 --> 01:41:57,639
Speaker 2: It's all my stuff.

1714
01:41:57,680 --> 01:41:59,400
Speaker 1: But I should know if you needed someone to help

1715
01:41:59,439 --> 01:42:00,959
Speaker 1: you with the organ Yeah.

1716
01:42:02,320 --> 01:42:05,719
Speaker 2: That's back on that linear cyclical. Yeah, if I start

1717
01:42:05,760 --> 01:42:08,040
Speaker 2: telling you a stir, I'm probably gonna get off on

1718
01:42:08,120 --> 01:42:11,280
Speaker 2: something else. Probably we know, we'll we know, we'll finish

1719
01:42:11,400 --> 01:42:14,880
Speaker 2: that one unless you remind me and that that that's

1720
01:42:14,880 --> 01:42:15,840
Speaker 2: the way this would have been.

1721
01:42:21,080 --> 01:42:24,479
Speaker 1: How many people come you know, because how many people

1722
01:42:24,600 --> 01:42:26,679
Speaker 1: come to your place every day? Like if people are listening,

1723
01:42:26,680 --> 01:42:28,439
Speaker 1: they just go it. If they're in Georgia, they just

1724
01:42:28,479 --> 01:42:33,720
Speaker 1: go to your place right and tour and eat and

1725
01:42:33,800 --> 01:42:34,479
Speaker 1: see everything.

1726
01:42:35,280 --> 01:42:39,120
Speaker 2: We uh, we got an open gate policy that you

1727
01:42:39,200 --> 01:42:42,360
Speaker 2: can go. We we do tours, we know, and I

1728
01:42:42,439 --> 01:42:45,120
Speaker 2: really will them do that, but you know they can't.

1729
01:42:45,200 --> 01:42:48,599
Speaker 2: You know, they show up thirty minutes after you did

1730
01:42:48,600 --> 01:42:51,160
Speaker 2: a tour, and my daughters do and when they got

1731
01:42:51,160 --> 01:42:54,120
Speaker 2: people that work with them, that do them, but they

1732
01:42:54,640 --> 01:42:56,479
Speaker 2: we we let them go in. We got maps, We

1733
01:42:56,640 --> 01:42:58,280
Speaker 2: give it to you. You go anywhere you want to

1734
01:42:58,720 --> 01:43:02,080
Speaker 2: ask anything, you want to Well, you know we are

1735
01:43:02,439 --> 01:43:09,600
Speaker 2: we're under so much competition of greenwashed product by big companies.

1736
01:43:10,320 --> 01:43:18,599
Speaker 2: That transparency is that the soul We've got to use God, yeah,

1737
01:43:18,840 --> 01:43:21,679
Speaker 2: short to him. You look at it. You know, well,

1738
01:43:21,760 --> 01:43:23,960
Speaker 2: we'll ask you a question and sometime.

1739
01:43:23,960 --> 01:43:28,680
Speaker 1: Meaning there's no like whatever terminology you can use to

1740
01:43:28,800 --> 01:43:31,400
Speaker 1: describe to a consumer what it is you're doing. You're

1741
01:43:31,439 --> 01:43:34,800
Speaker 1: going to see that terminology mimicked by someone who picks

1742
01:43:34,880 --> 01:43:35,719
Speaker 1: up that word.

1743
01:43:36,040 --> 01:43:40,160
Speaker 2: Absolutely. Let me give you an extreme example. I'll give you.

1744
01:43:40,240 --> 01:43:47,479
Speaker 2: But uh, in this country, you can import grassfeed beef

1745
01:43:47,600 --> 01:43:51,720
Speaker 2: from twenty other countries and label it product of the

1746
01:43:51,840 --> 01:43:56,679
Speaker 2: USA legally on the package. If value is added here,

1747
01:43:56,920 --> 01:44:02,120
Speaker 2: it's cut or wrapped or ground. Is that right? Yeah?

1748
01:44:02,360 --> 01:44:04,320
Speaker 1: Man, if you want to put product of the USA

1749
01:44:04,439 --> 01:44:09,519
Speaker 1: on a piece of sown fabric, I'm not sure. Shit's

1750
01:44:09,560 --> 01:44:10,840
Speaker 1: a lot higher bar than that.

1751
01:44:11,080 --> 01:44:13,680
Speaker 2: Well, I'm telling you the law got changed. I think

1752
01:44:13,680 --> 01:44:17,160
Speaker 2: it was twenty fifteen. We were doing pretty good and

1753
01:44:17,520 --> 01:44:22,080
Speaker 2: the law got changed, and the suddenly you know, we're

1754
01:44:22,080 --> 01:44:27,280
Speaker 2: not doing so good anymore. Huh. We had a we

1755
01:44:27,320 --> 01:44:32,280
Speaker 2: had a big wholesale customer last week that my daughter

1756
01:44:32,520 --> 01:44:38,920
Speaker 2: was talking to and they had a I wasn't meeting

1757
01:44:38,960 --> 01:44:44,040
Speaker 2: at a video meeting online. I mean they showed you know,

1758
01:44:44,200 --> 01:44:48,040
Speaker 2: the stats on how much they've drown, and you customly

1759
01:44:48,080 --> 01:44:51,160
Speaker 2: picked up this was this grocer, that grocer, the other grocer.

1760
01:44:52,080 --> 01:44:56,240
Speaker 2: They got down to the plan said they're going to

1761
01:44:56,240 --> 01:44:59,080
Speaker 2: buy the same amount of product from us. They bought

1762
01:44:59,800 --> 01:45:04,160
Speaker 2: the previous year, and Jenny's it's pretty tough. She said,

1763
01:45:04,400 --> 01:45:07,879
Speaker 2: wait a minute, you just showed all these new customers

1764
01:45:07,880 --> 01:45:09,719
Speaker 2: you got you gonna buy the same amount of product.

1765
01:45:10,240 --> 01:45:12,639
Speaker 2: Where are you getting it? Because there aren't that many

1766
01:45:13,280 --> 01:45:16,760
Speaker 2: large grass fed beef producers left in this country. And

1767
01:45:16,840 --> 01:45:20,040
Speaker 2: they didn't say anything, and she just sat there and waited.

1768
01:45:21,800 --> 01:45:24,960
Speaker 2: She said, are you importing grass fed beef? And they

1769
01:45:25,000 --> 01:45:29,160
Speaker 2: didn't say anything. And finally what I said, yeah, yeah, okay,

1770
01:45:29,200 --> 01:45:34,000
Speaker 2: we import a little bit. So why hadn't we talked

1771
01:45:34,000 --> 01:45:37,840
Speaker 2: about this before? And I can tell you the name.

1772
01:45:37,760 --> 01:45:42,360
Speaker 1: Because they're chasing that name grass fed beef, well, not

1773
01:45:42,600 --> 01:45:45,040
Speaker 1: chasing the implication, like what the implications are?

1774
01:45:45,120 --> 01:45:48,240
Speaker 2: They let the assumption be it's American. They are in

1775
01:45:48,240 --> 01:45:52,120
Speaker 2: America's got a very American name, headquartered in Texas. You know,

1776
01:45:52,120 --> 01:45:53,720
Speaker 2: it's a very god him.

1777
01:45:55,320 --> 01:45:58,479
Speaker 1: Do you do you do you worry that the whole

1778
01:45:58,479 --> 01:46:00,640
Speaker 1: thing is gonna go could put some's gonna have to

1779
01:46:00,640 --> 01:46:01,519
Speaker 1: go back the other traction?

1780
01:46:01,760 --> 01:46:07,639
Speaker 2: It's going it, Yes, And I worry about it a lot.

1781
01:46:07,920 --> 01:46:13,760
Speaker 2: And I really think we okay, I mean White Opa,

1782
01:46:13,960 --> 01:46:16,280
Speaker 2: we've been doing it longer than the others. And we

1783
01:46:16,320 --> 01:46:19,040
Speaker 2: started twenty five years ago. We sell twenty five million

1784
01:46:19,080 --> 01:46:24,639
Speaker 2: dollars stuff a year. We're vertically integrated. We it could

1785
01:46:24,960 --> 01:46:29,320
Speaker 2: we're not doing very well, but it's okay. We got

1786
01:46:29,439 --> 01:46:31,720
Speaker 2: we got we got some debt, but we got a

1787
01:46:31,840 --> 01:46:34,519
Speaker 2: lot of assets. And I think we gonna be okay.

1788
01:46:35,360 --> 01:46:38,799
Speaker 2: I got friends and and people I care a lot about.

1789
01:46:39,400 --> 01:46:42,600
Speaker 2: That it has not been okay, and that bothers me

1790
01:46:42,680 --> 01:46:48,720
Speaker 2: a lot. I thought, not day one, Day one, I

1791
01:46:48,800 --> 01:46:52,120
Speaker 2: just want to raise kays different. But at some point

1792
01:46:52,360 --> 01:46:57,479
Speaker 2: in that journey, I came to believe that I was

1793
01:46:57,520 --> 01:47:04,040
Speaker 2: an early innovator that was helping figure out a better

1794
01:47:04,080 --> 01:47:08,120
Speaker 2: way to produce at least beef, maybe maybe meet in general,

1795
01:47:08,240 --> 01:47:12,559
Speaker 2: at least beef. And I liked that. I wasn't living

1796
01:47:12,600 --> 01:47:15,800
Speaker 2: for it, but I liked it. It's not it hadn't

1797
01:47:15,800 --> 01:47:21,120
Speaker 2: worked out that way the and and I had I changed.

1798
01:47:21,280 --> 01:47:23,840
Speaker 2: I went from I've never been a sales when, I've

1799
01:47:23,880 --> 01:47:27,400
Speaker 2: never tried to talk people into changing up. But if

1800
01:47:27,400 --> 01:47:29,679
Speaker 2: somebody came to see me and said I'm thinking about

1801
01:47:30,720 --> 01:47:32,880
Speaker 2: going to the grass fed beef business, I said, get

1802
01:47:32,880 --> 01:47:34,720
Speaker 2: in the jeep, come on, I show you something, and

1803
01:47:34,760 --> 01:47:39,400
Speaker 2: I show them and kind of promote it, and I consciously,

1804
01:47:39,439 --> 01:47:43,439
Speaker 2: consciously made the decision. I got quit doing that because

1805
01:47:43,880 --> 01:47:48,040
Speaker 2: the people got in trouble and then it could happen

1806
01:47:48,080 --> 01:47:50,960
Speaker 2: with us. But we're in you know, I mean, I

1807
01:47:51,000 --> 01:47:53,240
Speaker 2: think we'll be all right now. Enough enough, I allowed

1808
01:47:53,240 --> 01:47:55,799
Speaker 2: two daughters to come back and have babies on the farm,

1809
01:47:55,880 --> 01:47:58,080
Speaker 2: so I thought, you know, you know, if you're in

1810
01:47:58,120 --> 01:48:01,240
Speaker 2: business for yourself, you never I know this is gonna

1811
01:48:01,240 --> 01:48:03,360
Speaker 2: be fine. That doesn't how you know.

1812
01:48:03,439 --> 01:48:07,519
Speaker 1: The sad part is there'd be a bunch of people

1813
01:48:09,240 --> 01:48:14,080
Speaker 1: happy if it didn't work, because they're sitting there and

1814
01:48:14,120 --> 01:48:18,519
Speaker 1: it's like, man, this is kind of challenging that here

1815
01:48:18,560 --> 01:48:20,559
Speaker 1: he is talking about a bunch of stuff I'd rather

1816
01:48:20,600 --> 01:48:25,880
Speaker 1: not talk about drawn making us, you know, people questioning assumptions,

1817
01:48:26,000 --> 01:48:28,160
Speaker 1: and then if it didn't work, they'd be like, ah, good,

1818
01:48:28,520 --> 01:48:30,280
Speaker 1: you're right, because that was getting uncomfortable.

1819
01:48:31,240 --> 01:48:34,240
Speaker 2: And of course, of course, the you know, the large

1820
01:48:34,360 --> 01:48:41,360
Speaker 2: multi national meat processes are so big and so powerful,

1821
01:48:42,520 --> 01:48:46,599
Speaker 2: and we're they're not worried about how much I sell.

1822
01:48:46,840 --> 01:48:49,120
Speaker 2: They spill more than I sell, ye, but they don't

1823
01:48:49,120 --> 01:48:52,000
Speaker 2: want people asking the questions. And we talk a lot

1824
01:48:52,040 --> 01:48:55,000
Speaker 2: about how we do it. It just be better than

1825
01:48:55,080 --> 01:48:58,560
Speaker 2: I talk about that so, and they've done such a

1826
01:48:58,600 --> 01:49:02,160
Speaker 2: great job again that group. The term green washing, I

1827
01:49:02,160 --> 01:49:03,560
Speaker 2: didn't come up with it, but I used it a

1828
01:49:03,640 --> 01:49:08,639
Speaker 2: lot because it very accurately depicts what happens in the market.

1829
01:49:08,640 --> 01:49:15,320
Speaker 1: Police years ago, I had a we were interviewing a

1830
01:49:15,320 --> 01:49:20,960
Speaker 1: bison producer, and that's kind of a in the West,

1831
01:49:20,960 --> 01:49:23,240
Speaker 1: that's a little bit of a touchy subject, like beef

1832
01:49:23,320 --> 01:49:27,680
Speaker 1: versus bison. And they're talking. He's talking about a lot

1833
01:49:27,680 --> 01:49:31,880
Speaker 1: of the heat they get, you know, the cattle and

1834
01:49:32,000 --> 01:49:37,880
Speaker 1: the things. And he had an interesting statistic where he's like, man,

1835
01:49:38,720 --> 01:49:44,240
Speaker 1: there's two million cows in this state. I got four

1836
01:49:44,280 --> 01:49:49,720
Speaker 1: thousand buffalo. But the amount of the focus out that

1837
01:49:49,880 --> 01:49:51,840
Speaker 1: is f Like, let's just look at the numbers for

1838
01:49:51,880 --> 01:49:52,439
Speaker 1: a minute here.

1839
01:49:52,920 --> 01:49:55,519
Speaker 2: I don't have that prejudice, but I got I got

1840
01:49:56,439 --> 01:49:59,600
Speaker 2: one hundred and fifty something miles of fence on my

1841
01:49:59,640 --> 01:50:02,880
Speaker 2: farm because we got it cross fenced into the thirty

1842
01:50:02,880 --> 01:50:07,680
Speaker 2: acre paddocks. It's not just and uh when and I

1843
01:50:07,800 --> 01:50:10,320
Speaker 2: used to be the president of the American Grassfeld Association

1844
01:50:10,520 --> 01:50:14,160
Speaker 2: way back a long time ago, and the bison producers

1845
01:50:14,200 --> 01:50:19,280
Speaker 2: in there, and those poor folks couldn't hardly give away bison.

1846
01:50:19,720 --> 01:50:22,559
Speaker 2: But I started tess one tile of grill and seeing

1847
01:50:22,600 --> 01:50:24,599
Speaker 2: other things, said, you know, I believe this bison thing

1848
01:50:24,720 --> 01:50:27,840
Speaker 2: might might be all right. And I was adding those

1849
01:50:27,880 --> 01:50:32,599
Speaker 2: other species. I said, maybe I'll add bison. So it's

1850
01:50:32,640 --> 01:50:35,439
Speaker 2: a guy in Alabama had a herd of bison he

1851
01:50:35,479 --> 01:50:38,960
Speaker 2: wanted to sell. I rode up there by myself one

1852
01:50:38,960 --> 01:50:41,439
Speaker 2: Sunday afternoon, and I didn't want to talk to him.

1853
01:50:41,439 --> 01:50:44,519
Speaker 2: I want to look at him. And I start there

1854
01:50:44,560 --> 01:50:49,040
Speaker 2: and looked at those bison and I looked at that fency.

1855
01:50:50,000 --> 01:50:51,400
Speaker 1: Looked like something from a prison.

1856
01:50:51,600 --> 01:50:57,639
Speaker 2: Yeah, and uh, I said, you know, I'm too old

1857
01:50:57,760 --> 01:51:03,120
Speaker 2: to start building one hundred and fifty something mile. I

1858
01:51:03,240 --> 01:51:05,559
Speaker 2: still I still win it from the first time I

1859
01:51:05,640 --> 01:51:10,080
Speaker 2: built it. I can't start by again. You never reminded

1860
01:51:10,080 --> 01:51:11,520
Speaker 2: me of going seeing Daddy.

1861
01:51:13,840 --> 01:51:18,200
Speaker 1: Really well, man, I do uh one. I hope your

1862
01:51:18,200 --> 01:51:21,559
Speaker 1: book does good. A bold return. Make sure I get

1863
01:51:22,040 --> 01:51:24,200
Speaker 1: a bolder I want to get the subtitle Bolder Turn

1864
01:51:24,280 --> 01:51:27,680
Speaker 1: to giving a damn One Farm. Six Generations in the

1865
01:51:27,680 --> 01:51:31,640
Speaker 1: Future of Food by Will Harris from White Oak Pastures.

1866
01:51:31,720 --> 01:51:35,400
Speaker 1: I hope your book does good. It's really it's really interesting.

1867
01:51:38,200 --> 01:51:41,599
Speaker 1: It's a it's an interesting informative read from someone who

1868
01:51:41,640 --> 01:51:48,240
Speaker 1: observes agg agriculture from the outside. And that's me, right,

1869
01:51:48,240 --> 01:51:50,320
Speaker 1: Like I spent a lot of time on farms and ranches,

1870
01:51:50,479 --> 01:51:52,960
Speaker 1: have friends at farm and ranch, but I didn't. That's

1871
01:51:53,000 --> 01:51:55,200
Speaker 1: not how I grew up. I just grew up in

1872
01:51:55,200 --> 01:51:57,760
Speaker 1: proximity to it. So there's always more to learn, I

1873
01:51:57,800 --> 01:52:04,720
Speaker 1: think from a perspective of Obviously, consumers, you know, uh,

1874
01:52:06,600 --> 01:52:10,320
Speaker 1: we catch or shoot all the meat weed, but most

1875
01:52:10,320 --> 01:52:12,320
Speaker 1: people in this country buy meat. So it's a great

1876
01:52:12,640 --> 01:52:15,840
Speaker 1: window into what you're buying the history of what you're buying,

1877
01:52:15,880 --> 01:52:21,400
Speaker 1: what you're paying for when you buy it. Reading the

1878
01:52:21,400 --> 01:52:23,280
Speaker 1: book too, just when you're driving down the road and

1879
01:52:23,360 --> 01:52:25,799
Speaker 1: you're looking out the window and you're driving through farm country,

1880
01:52:26,400 --> 01:52:29,639
Speaker 1: you'll be like, oh, that's why that's that way. It's

1881
01:52:29,680 --> 01:52:33,559
Speaker 1: just you learn a lot about about food production. And

1882
01:52:33,600 --> 01:52:36,280
Speaker 1: then you also learn a lot about when you're when

1883
01:52:36,280 --> 01:52:38,240
Speaker 1: you're looking at farms and ranches, how to kind of

1884
01:52:38,280 --> 01:52:41,200
Speaker 1: interpret what it is you're seeing, and when you're looking

1885
01:52:41,240 --> 01:52:46,880
Speaker 1: at those price discrepancies, when you're looking at those price

1886
01:52:46,920 --> 01:52:52,160
Speaker 1: discrepancies in the grocery store attached to different descriptors, why

1887
01:52:52,200 --> 01:52:56,519
Speaker 1: that might look the way it looks because there's a point,

1888
01:52:56,560 --> 01:52:58,280
Speaker 1: like you said with chicken, you know, I mean, there's

1889
01:52:58,280 --> 01:53:00,400
Speaker 1: a point you're gonna someone's gonna walk walk in. The

1890
01:53:00,439 --> 01:53:02,639
Speaker 1: consumer is going to walk in and they're going to see,

1891
01:53:02,680 --> 01:53:05,639
Speaker 1: you know, chickens on sale for like a buck of pound,

1892
01:53:06,840 --> 01:53:09,599
Speaker 1: or they're like, well, how why is this? Holes are

1893
01:53:09,640 --> 01:53:11,840
Speaker 1: selling his chicken for eight dollars a pound or whatever

1894
01:53:11,840 --> 01:53:15,120
Speaker 1: the hell it is. I'm not telling you don't I

1895
01:53:15,160 --> 01:53:17,400
Speaker 1: don't know how you're going to break on that buying decision,

1896
01:53:17,400 --> 01:53:22,400
Speaker 1: but at least you won't feel like it's robbery. You'll

1897
01:53:22,400 --> 01:53:25,519
Speaker 1: feel like, oh, that's for that, that's where that money goes,

1898
01:53:25,520 --> 01:53:26,760
Speaker 1: Like that's why that's that way.

1899
01:53:27,200 --> 01:53:29,320
Speaker 2: Well, there's a lot wrong with the way we produce

1900
01:53:29,439 --> 01:53:33,040
Speaker 2: food in this country, sadly, and I was part of that,

1901
01:53:33,760 --> 01:53:37,280
Speaker 2: My dad was part of the leadership, and my made

1902
01:53:37,280 --> 01:53:41,320
Speaker 2: the decision to go on another way and have really

1903
01:53:41,360 --> 01:53:47,559
Speaker 2: been pleased with the results, but ready to admit that

1904
01:53:47,600 --> 01:53:51,760
Speaker 2: the financial benefit is not going to make room for

1905
01:53:51,840 --> 01:53:56,760
Speaker 2: a lot of people to do it. It's sad. I

1906
01:53:56,800 --> 01:53:59,640
Speaker 2: hope that changes. I don't know whether it will or not.

1907
01:54:00,600 --> 01:54:05,160
Speaker 2: In this book, I tried to be as clear and

1908
01:54:05,280 --> 01:54:08,479
Speaker 2: honest on that as I knew how to be and uh,

1909
01:54:09,000 --> 01:54:10,600
Speaker 2: people have to make their own decisions.

1910
01:54:10,920 --> 01:54:15,400
Speaker 1: Oh yeah, it's it's it's I mean, even just talking

1911
01:54:15,439 --> 01:54:19,760
Speaker 1: you today, you're I'll tell you one thing you're not.

1912
01:54:19,840 --> 01:54:20,519
Speaker 1: You ain't a huckster.

1913
01:54:21,840 --> 01:54:22,160
Speaker 2: M hm.

1914
01:54:25,960 --> 01:54:27,960
Speaker 1: Like you seem pretty you seem pretty open to the

1915
01:54:28,000 --> 01:54:31,840
Speaker 1: trade offs, you know. You know, but I think that

1916
01:54:32,280 --> 01:54:34,000
Speaker 1: if we had more time, I think we would get

1917
01:54:34,000 --> 01:54:37,640
Speaker 1: into and probably could just touch on it for a minute.

1918
01:54:37,760 --> 01:54:43,320
Speaker 1: I mean there's also a gamble here and and and

1919
01:54:44,200 --> 01:54:49,880
Speaker 1: you explained that if when people look at regenitive agriculture,

1920
01:54:50,160 --> 01:54:52,840
Speaker 1: organic agriculture, whatever, and you can make the claim like, well,

1921
01:54:53,000 --> 01:54:54,920
Speaker 1: how are you going to feed eight billion people on that?

1922
01:54:55,640 --> 01:54:59,960
Speaker 1: And you raise some questions like, uh, I don't know

1923
01:55:00,080 --> 01:55:05,120
Speaker 1: that we should feed eight billion people. And the earth

1924
01:55:05,240 --> 01:55:10,120
Speaker 1: has it's not debatable there is a carrying The Earth

1925
01:55:10,160 --> 01:55:13,640
Speaker 1: has a carrying capacity. There's a point at which the

1926
01:55:13,720 --> 01:55:18,160
Speaker 1: Earth will not support some number, and there's gonna be

1927
01:55:18,200 --> 01:55:22,040
Speaker 1: a limiting factor on how many people the Earth can feed.

1928
01:55:22,120 --> 01:55:24,800
Speaker 1: If it winds up being that the limiting factor is acreage,

1929
01:55:27,360 --> 01:55:30,920
Speaker 1: traditional industrialized farming is gonna be the way to go.

1930
01:55:31,560 --> 01:55:36,520
Speaker 1: If the limiting factor winds up being soil, water, on

1931
01:55:36,560 --> 01:55:39,360
Speaker 1: and on and on. We're gonna have to rethink ship.

1932
01:55:40,720 --> 01:55:40,880
Speaker 2: You know.

1933
01:55:41,000 --> 01:55:42,840
Speaker 1: It's just like like what is gonna be the thing

1934
01:55:42,880 --> 01:55:43,560
Speaker 1: we run out of?

1935
01:55:44,680 --> 01:55:48,320
Speaker 2: You know, you know, the the the there's so many

1936
01:55:48,440 --> 01:55:50,960
Speaker 2: losers in the food production system that we have.

1937
01:55:51,200 --> 01:55:51,440
Speaker 1: Now.

1938
01:55:55,160 --> 01:56:00,320
Speaker 2: I've been criticized for being critical of the farmers. Really

1939
01:56:00,320 --> 01:56:04,360
Speaker 2: don't intend to be. They came up in an industrial

1940
01:56:04,440 --> 01:56:09,400
Speaker 2: food production system and embraced it and got good at it,

1941
01:56:09,480 --> 01:56:12,920
Speaker 2: and it's taken risk and that's the way they produce

1942
01:56:13,000 --> 01:56:15,760
Speaker 2: food and they see nothing wrong with it, and I

1943
01:56:15,800 --> 01:56:23,800
Speaker 2: didn't either, But there there are downsides and there are risks,

1944
01:56:23,960 --> 01:56:28,080
Speaker 2: and there are problems with it and their environmental you know,

1945
01:56:28,160 --> 01:56:30,680
Speaker 2: I don't even talk about health and safety and all that.

1946
01:56:30,800 --> 01:56:33,120
Speaker 2: I talk about the things I know about, which your

1947
01:56:33,480 --> 01:56:39,640
Speaker 2: environmental out of the welfare and the rural economy, and

1948
01:56:39,680 --> 01:56:42,160
Speaker 2: the way we've been producing food since World War Two

1949
01:56:42,240 --> 01:56:46,920
Speaker 2: has been devastating in those three areas. Some other things too,

1950
01:56:47,200 --> 01:56:51,560
Speaker 2: But I don't get into that. That's not my expertise. So,

1951
01:56:52,680 --> 01:56:55,680
Speaker 2: you know, should we produce food differently? I think we should?

1952
01:56:56,240 --> 01:56:58,680
Speaker 2: Are we going too? I think we are soon a

1953
01:56:58,720 --> 01:56:59,240
Speaker 2: little later.

1954
01:57:00,240 --> 01:57:02,240
Speaker 1: It's gonna be forced down at at some point.

1955
01:57:02,120 --> 01:57:04,880
Speaker 2: I don't know how how bad it's got to get.

1956
01:57:05,320 --> 01:57:11,400
Speaker 2: You know that, you know the UH. I quit using

1957
01:57:11,440 --> 01:57:15,840
Speaker 2: the term organic because you can legally have certified organic

1958
01:57:15,960 --> 01:57:22,200
Speaker 2: vegetables grown in a house with artificial lights and high

1959
01:57:22,480 --> 01:57:27,720
Speaker 2: high gris panically no soil. It's certif out organic. Now

1960
01:57:29,720 --> 01:57:32,240
Speaker 2: there's a lot wrong with that, and we could we

1961
01:57:32,280 --> 01:57:34,400
Speaker 2: could go down a whole long list of things that

1962
01:57:34,440 --> 01:57:39,480
Speaker 2: we do that are I think disingenuous and wrong and

1963
01:57:39,480 --> 01:57:49,040
Speaker 2: and damaging and unhealthy. But until the consumer decides to

1964
01:57:49,160 --> 01:57:53,920
Speaker 2: change it, change won't come from the government. Change won't

1965
01:57:53,920 --> 01:57:58,240
Speaker 2: come from big multinational corperations. Change won't come from land

1966
01:57:58,280 --> 01:58:01,760
Speaker 2: grant universities. I can give you a bunch of other places.

1967
01:58:01,840 --> 01:58:08,200
Speaker 2: Change won't come from the usda UD. If change occurs,

1968
01:58:08,360 --> 01:58:11,560
Speaker 2: it'll be because of consumers. And then it won't And

1969
01:58:11,680 --> 01:58:16,920
Speaker 2: it won't happen with consumers until things get really bad.

1970
01:58:17,040 --> 01:58:20,240
Speaker 2: The food costs more, I mean, my food costs more.

1971
01:58:20,400 --> 01:58:24,520
Speaker 2: I hate that I do, but I can't help it.

1972
01:58:26,640 --> 01:58:27,600
Speaker 1: You wish it was cheap?

1973
01:58:28,400 --> 01:58:28,560
Speaker 5: Oh?

1974
01:58:28,560 --> 01:58:33,560
Speaker 2: I wish? You know A question I hate is I

1975
01:58:33,600 --> 01:58:36,960
Speaker 2: can be telling people, a group of people, what I

1976
01:58:36,960 --> 01:58:40,200
Speaker 2: think we ought to do to farm to make food better.

1977
01:58:40,240 --> 01:58:45,120
Speaker 2: For that where the land and the animal and climate

1978
01:58:45,360 --> 01:58:50,200
Speaker 2: and rural communities and whatever else. And I think I

1979
01:58:50,200 --> 01:58:52,640
Speaker 2: did a good job. And they say, but what are

1980
01:58:52,680 --> 01:58:55,480
Speaker 2: you gonna do about all the people that are starving?

1981
01:58:56,840 --> 01:59:00,600
Speaker 2: How about you handling that? I got a good idea.

1982
01:59:00,720 --> 01:59:03,560
Speaker 2: Let that be your project. You know, I corrected a

1983
01:59:03,560 --> 01:59:06,600
Speaker 2: bunch of stuff. You take you take that one. I

1984
01:59:06,640 --> 01:59:09,720
Speaker 2: don't know, and you know I'm a I'm as sensitive

1985
01:59:09,720 --> 01:59:14,320
Speaker 2: about people being hungry as anybody else. But the fact

1986
01:59:14,480 --> 01:59:17,920
Speaker 2: is I simply don't have that ausole. I wrote down

1987
01:59:17,960 --> 01:59:20,480
Speaker 2: all the answers I had in this book, and it's

1988
01:59:20,520 --> 01:59:27,560
Speaker 2: a great start. But h you know, I can't solve

1989
01:59:27,600 --> 01:59:29,320
Speaker 2: world hunger, world peace either.

1990
01:59:31,920 --> 01:59:34,080
Speaker 1: Man. I hope you. I mean, it's a great book,

1991
01:59:34,920 --> 01:59:37,680
Speaker 1: but I hope you're keeping more detailed notes too, because

1992
01:59:38,160 --> 01:59:41,880
Speaker 1: if it's all, uh, you know, if in a hundred

1993
01:59:41,960 --> 01:59:44,400
Speaker 1: years people like, holy shit, we should have listened to

1994
01:59:44,400 --> 01:59:48,920
Speaker 1: that guy from Georgia, I hope he wrote them down

1995
01:59:49,880 --> 01:59:52,200
Speaker 1: eighteen inches of peanuts shells, dead cow.

1996
01:59:54,280 --> 01:59:56,480
Speaker 2: I give you my word. I hadn't written much. Now,

1997
01:59:57,080 --> 01:59:58,040
Speaker 2: I promise you that.

1998
02:00:00,200 --> 02:00:02,240
Speaker 1: How did how do identify a dung beetle when you

1999
02:00:02,280 --> 02:00:06,280
Speaker 1: see one? You know, well, thanks for coming on the show,

2000
02:00:06,360 --> 02:00:07,400
Speaker 1: and thanks for doing the book.

2001
02:00:08,040 --> 02:00:09,880
Speaker 2: Thank you for having me. I really enjoyed it.

2002
02:00:09,880 --> 02:00:15,080
Speaker 1: This is fun. Uh, you're gonna hate me because, uh

2003
02:00:15,120 --> 02:00:16,680
Speaker 1: but what what is the pup date?

2004
02:00:18,120 --> 02:00:20,120
Speaker 2: Sipton last September, last September.

2005
02:00:21,160 --> 02:00:24,240
Speaker 1: Scrub that out, Phil. I just wanted to make sure

2006
02:00:24,240 --> 02:00:25,760
Speaker 1: I had it right with available.

2007
02:00:25,360 --> 02:00:27,760
Speaker 5: Now, very very available now.

2008
02:00:28,320 --> 02:00:31,200
Speaker 2: Okay, yeah, if you don't, if you don't believe it.

2009
02:00:31,560 --> 02:00:35,880
Speaker 1: Available, get it anywhere anywhere boats are sold. Boulder turned

2010
02:00:35,880 --> 02:00:38,440
Speaker 1: to giving a damn one farm six generations in the

2011
02:00:38,480 --> 02:00:40,800
Speaker 1: Future of food, Will Harris. If you get into the acknowledgments,

2012
02:00:40,800 --> 02:00:43,200
Speaker 1: you'll see our good friend Mark Jerald listening to the acknowledgments.

2013
02:00:44,480 --> 02:00:47,200
Speaker 1: Mark's good guy. But don't don't everybody go send the

2014
02:00:47,320 --> 02:00:49,480
Speaker 1: Mark your proposals.

2015
02:00:49,640 --> 02:00:49,840
Speaker 2: Don't.

2016
02:00:49,920 --> 02:00:55,280
Speaker 1: Yeah, don't send them all your proposes. It's just I

2017
02:00:55,280 --> 02:00:57,080
Speaker 1: don't know. I don't know if he digs around, you know,

2018
02:00:57,120 --> 02:01:03,240
Speaker 1: and publishing lingo. They call that the slush pile, and

2019
02:01:03,240 --> 02:01:06,200
Speaker 1: and and I don't know that they. I can't make

2020
02:01:06,240 --> 02:01:09,600
Speaker 1: any promises that he's going to dig around through his

2021
02:01:09,640 --> 02:01:12,040
Speaker 1: mail and find your stuff. So if you don't hear

2022
02:01:12,040 --> 02:01:14,400
Speaker 1: from him, it's not that it wasn't a good idea.

2023
02:01:15,240 --> 02:01:19,200
Speaker 1: It might just be that he never looked. All right, well,

2024
02:01:19,240 --> 02:01:21,640
Speaker 1: thank you man, and uh wait, Oat Pastures. They go

2025
02:01:21,680 --> 02:01:27,120
Speaker 1: on your website obviously, right pastures dot Com. Make an order. Yes, yes,

2026
02:01:27,320 --> 02:01:29,920
Speaker 1: they can go down there, they can look around. Please,

2027
02:01:30,280 --> 02:01:31,720
Speaker 1: they can tour the compost site.

2028
02:01:31,760 --> 02:01:32,400
Speaker 2: Absolutely.

2029
02:01:33,360 --> 02:01:34,760
Speaker 1: I might go in there and you might see me

2030
02:01:34,760 --> 02:01:36,800
Speaker 1: out there kicking through those peanuts shells trying to find

2031
02:01:36,840 --> 02:01:39,960
Speaker 1: out what exactly is going on under there.

2032
02:01:40,080 --> 02:01:43,920
Speaker 2: Everybody, everybody wants to see it. It's just beautiful grass.

2033
02:01:43,960 --> 02:01:47,800
Speaker 2: It's just high I mean yeah, really, yeah, it's great.

2034
02:01:47,880 --> 02:01:49,640
Speaker 1: A lot of a lot of possums.

2035
02:01:50,080 --> 02:01:55,680
Speaker 2: Yeah, you know, we talked about that. If you keep it,

2036
02:01:55,960 --> 02:02:02,880
Speaker 2: if you keep it covered, it's incredible. How few apostles, bobcats,

2037
02:02:03,080 --> 02:02:05,800
Speaker 2: raccoons very few?

2038
02:02:06,040 --> 02:02:09,360
Speaker 1: Well, yeah, there's no vultures undercover. If there's no vultures,

2039
02:02:09,440 --> 02:02:12,480
Speaker 1: If there's no vultures, I believe it. All right, thank

2040
02:02:12,480 --> 02:02:14,880
Speaker 1: you very much for coming on, and everybody go check

2041
02:02:14,880 --> 02:02:16,720
Speaker 1: out the book. Thank you, thank you. All.

2042
02:02:18,960 --> 02:02:23,160
Speaker 9: The sun is rising, a light up the coach making

2043
02:02:23,280 --> 02:02:27,560
Speaker 9: a stand all day. There's a cold case, a long

2044
02:02:27,760 --> 02:02:34,800
Speaker 9: storm out over under seven hundred second half. Please round

2045
02:02:34,880 --> 02:02:38,760
Speaker 9: the dogs to the northwest corner the creek. If the

2046
02:02:38,920 --> 02:02:45,640
Speaker 9: water rained down season comes, we'll find someplace to hunt. No,

2047
02:02:46,000 --> 02:02:52,040
Speaker 9: they're gonna miss this ground. We're selling the farm in

2048
02:02:52,120 --> 02:02:56,600
Speaker 9: the morning, all the words and the fields and the fence.

2049
02:02:57,880 --> 02:03:02,520
Speaker 9: And I wish somebody could help me in a way that.

2050
02:03:02,720 --> 02:03:09,880
Speaker 6: It all made sins while we're raising hell and night,

2051
02:03:11,320 --> 02:03:13,720
Speaker 6: even if it's the very last.

2052
02:03:13,480 --> 02:03:21,440
Speaker 9: Time, So long to the good days, because the room

2053
02:03:21,600 --> 02:03:23,400
Speaker 9: has been taken it hard.

2054
02:03:23,480 --> 02:03:25,720
Speaker 6: It's been fifteen years since she.

2055
02:03:25,920 --> 02:03:30,560
Speaker 9: Cried our hear of birth, young who loves after the

2056
02:03:30,760 --> 02:03:34,040
Speaker 9: lamb went to sleep last night and he died.

2057
02:03:51,360 --> 02:03:54,280
Speaker 4: Id eyo stew the farm in the morning.

2058
02:03:55,480 --> 02:03:59,480
Speaker 6: All the roads that we made in the mud, we'll

2059
02:03:59,520 --> 02:04:00,360
Speaker 6: be leave been.

2060
02:04:00,320 --> 02:04:06,080
Speaker 9: A lifetime behind us. The generation texts us blood.

2061
02:04:09,200 --> 02:04:14,280
Speaker 6: Over raising hell and night, even if it's the very

2062
02:04:14,440 --> 02:04:16,520
Speaker 6: last time, and.

2063
02:04:16,520 --> 02:04:23,480
Speaker 9: So much for the good thing. There's a new bunch

2064
02:04:23,560 --> 02:04:27,120
Speaker 9: of deer in the bottom. I promise to my daughters

2065
02:04:27,120 --> 02:04:32,560
Speaker 9: and sons. Don't know how I'm gonna make up the memory.

2066
02:04:33,400 --> 02:04:38,200
Speaker 6: I won't stop until I'm done. Don't know what time

2067
02:04:38,320 --> 02:04:40,280
Speaker 6: we gotta leave here, tomorroom.

2068
02:04:40,840 --> 02:04:45,800
Speaker 9: Don't know what I'm gonna say s to them? How

2069
02:04:46,040 --> 02:04:51,879
Speaker 9: for upond by tonight. But we're gonna be burning one anyway.

2070
02:04:53,240 --> 02:04:57,680
Speaker 9: We're selling the farm in the morning. All the bucks

2071
02:04:57,800 --> 02:05:01,680
Speaker 9: send the snacks in the hogs. It's a world, this

2072
02:05:01,920 --> 02:05:10,840
Speaker 9: passion memory shift in a couple of saddle songs, Well

2073
02:05:11,000 --> 02:05:15,000
Speaker 9: were raising hell the knife, even if.

2074
02:05:14,880 --> 02:05:16,640
Speaker 6: It's the very last time.

2075
02:05:16,840 --> 02:05:20,360
Speaker 9: And then don't give up on the good days.