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Speaker 1: The Hunting Collective is presented by Element. I guess I

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Speaker 1: grew up on a Hey, everybody, welcome to another episode

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Speaker 1: of The Hunting Collective. I am Benjamin Patrick O'Brien and

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Speaker 1: I'm joined by Philip the Engineer. Philip. Hello, Benjamin, Hey,

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Speaker 1: no buddy, I'm doing good, doing great. Well. Uh, there's

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Speaker 1: a lot of talk about I am for I would

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Speaker 1: say first, a very sincere, a very serious, non ironic

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Speaker 1: thank you too everybody that checked in on me over

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Speaker 1: the last week that one and how I was feeling,

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Speaker 1: sending me good vibes. A lot of people sending me

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Speaker 1: like songs and videos to listen to, books to read,

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Speaker 1: TV shows to watch. Um, so thank you to everybody

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Speaker 1: that reached out via email and then reached also reached

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Speaker 1: out be Instagram d m Um. Pretty cool. It makes

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Speaker 1: you feel pretty warm when people out there thinking about you. Um,

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Speaker 1: so thank you very much to this THHC cult out there. Um,

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Speaker 1: why are you shaking your head? Phil Oh you just

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Speaker 1: called it the cult. Yeah. I thought we agreed upon that.

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Speaker 1: I thought that's where we landed. Check the tapes. We

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Speaker 1: never actually landed there. Um. I never agreed to anything,

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Speaker 1: and I'm actually I was telling you about this. I

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Speaker 1: have been getting my own messages of from people who

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Speaker 1: are not a fan of the name. They do not

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Speaker 1: like to be associated with with with with a cult. Yeah, well, um,

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Speaker 1: you know, listen, we did get a message from the

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Speaker 1: leader of the cult. I thought who was going to

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Speaker 1: be the leader they called you know who it is?

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Speaker 1: Of course, Yes, he's not a fan of the term

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Speaker 1: called either, And so I think it's an issue in

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Speaker 1: the guy you're gonna tap to be like you're, you know,

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Speaker 1: first in command and the cult you know, be picking

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Speaker 1: out which flavor cool aid we've been drinking that kind

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Speaker 1: of thing. Um, when he's not into it, he's not

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Speaker 1: into it at all. Here's my favorite one. Well only

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Speaker 1: because it gives you a little bit of a love here.

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Speaker 1: Kyle reached out on Instagram. You said, Um, why on

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Speaker 1: earth would you call your followers a cult? It seems

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Speaker 1: to me that it goes against everything THHC stands for,

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Speaker 1: for example, a bunch of mindless buffoons doing what they

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Speaker 1: are told without asking any questions. Now, I feel you

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Speaker 1: should just call us because I am a weekly listener,

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Speaker 1: enjoy it muchly the collective. Here's why I'm actually referring

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Speaker 1: to Star Trek the Board where a collective that continually

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Speaker 1: learned from one another, bettering themselves in the process on

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Speaker 1: route to taking over the universe. It's a perfect fit

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Speaker 1: and phil coming from a father of four, Your kids

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Speaker 1: will become better alt if you spend more time taking

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Speaker 1: them outside rather than playing video games with them. Thanks

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Speaker 1: Kyle from Canada. Uh do you play video games with

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Speaker 1: psc said, I hope you're feeling better. I'm doing I'm

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Speaker 1: doing just fine. Thank you, Kyle. Uh thoughts reaction filled?

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Speaker 1: Do you feel like the collective that sounds too serious? Yeah,

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Speaker 1: but I mean that already is the name I feel.

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Speaker 1: I feel like this guy's got a point. Even I'll

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Speaker 1: get I'll get to the last thing he said later.

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Speaker 1: But let's go backwards. Say that your show is already

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Speaker 1: called the Hunting Collective. You're already implying that you and

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Speaker 1: the people who listen are a part of this collective.

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Speaker 1: It's got a name. I mean, I think every group

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Speaker 1: of people that have a shared vision evolved, right, most

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Speaker 1: of them evolved into cults without saying that they do

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Speaker 1: without You know, if you're in the Church of Scientology,

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Speaker 1: you're in a cult. You're just drawing something different in

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Speaker 1: this case where we are one of those cults that says, hey,

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Speaker 1: we're a cult and we get it. We're just very

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Speaker 1: open minded and we and we're different, but we're a cult.

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Speaker 1: No nothing this last okay. I mean like I would

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Speaker 1: like to to just um chiede your your listeners, um

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Speaker 1: for you know people. I think people come to the

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Speaker 1: show because you, um, you like to tout to out

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Speaker 1: yourself and the and your listeners as you know, like

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Speaker 1: independent thinkers, like people who hear both sides and you know,

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Speaker 1: way way things and come to their own conclusions. Yet

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Speaker 1: at the same time, whenever you asked them to do something,

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Speaker 1: they immediately do it without questions. Right, that's right. So

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Speaker 1: you know, I'd like I'd like these people to take

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Speaker 1: a look in the mirror and think about what. Hey,

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Speaker 1: Greg Morris, remember that time I said to make a

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Speaker 1: thing about phil and then you had like a framed

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Speaker 1: picture of squeakers rest in peace. Think about why you

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Speaker 1: did that. You're in a cult. You're in a cult

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Speaker 1: and you didn't even know it and I brought you there.

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Speaker 1: So no, no, no, that can't be. That can't be.

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Speaker 1: We'll have to think about this some more. We'll have

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Speaker 1: to objectively look at what to call ourselves. I don't

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Speaker 1: like the collective. I think it's too serious, but we

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Speaker 1: gotta call ourselves something. And apparently, if Eric Hall and

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Speaker 1: Kyle from Canada and even you Phil are telling me

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Speaker 1: that a cult is not the way to go, then

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Speaker 1: fine it. Maybe just like you know when hunters Fill

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Speaker 1: tried to like really whitewash the term kill out of

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Speaker 1: the the pursuit, and they said, oh, we harve harvest animals.

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Speaker 1: Oh we harvest. No, you don't harvest them, you kill them. Um,

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Speaker 1: maybe later you harvest the meat, but you kill the animal. Here,

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Speaker 1: we're we're not going to whitewash the term. We're a call.

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Speaker 1: We're proud of it. Okay, we are, but we're not mindless.

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Speaker 1: We're buying full Kyle from Canada, So we'll keep talking

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Speaker 1: about that. We'll keep uh analyzing. But are you mad

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Speaker 1: at him for you don't play video games or your kids?

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Speaker 1: Do you kids aren't old enough? Oh? Yeah they are?

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Speaker 1: Are they? Oh? Yeah? Man? Not the two year old,

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Speaker 1: not the two year old, but the seven year old.

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Speaker 1: Oh yeah. And and and on that note, Kyle from

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Speaker 1: Canada screw you boom, you're out of the cult. That's right,

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Speaker 1: because in cults there's no dissension amongst the ranks. You

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Speaker 1: do what me and Phil say, how is it? And

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Speaker 1: and Eric? I guess it's it's like a board of three.

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Speaker 1: It's me, you and Air call me, and Eric call

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Speaker 1: me you and Er call He's definitely uh on the board.

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Speaker 1: He might be like more of a silent partner, but

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Speaker 1: he does. He does send in the weekly, weekly voicemails,

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Speaker 1: which would keep me going anyway. Moving on, Listen, we'll

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Speaker 1: keep we'll keep working on it. We'll keep work shopping

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Speaker 1: it for now or the cult. We're gonna stay the cult. Um.

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Speaker 1: You're all cult members if you choose to be. If

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Speaker 1: not um, you can't leave. So what are you gonna do?

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Speaker 1: You're not going anywhere. Nothing you can do about it.

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Speaker 1: All Right. We gotta get a lot to get to,

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Speaker 1: and one of the things we gotta get to is

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Speaker 1: Anya Fernald, who is an entrepreneur in the CEO of

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Speaker 1: bel Campo Farms. I had a hell of a good

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Speaker 1: time talking to Anya about everything. We didn't really get

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Speaker 1: too specific, um we did for the short bit about

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Speaker 1: belt Campo Farms, but We've talked about Regenda BA agriculture

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Speaker 1: on the show. We've talked about sustainable meat, We've talked

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Speaker 1: about how we scale, we talked about plant based meat.

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Speaker 1: We've talked about the the anti meat movement. We've gone

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Speaker 1: through all of this stuff, and we come to Anya,

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Speaker 1: who is the CEO of a company who's trying to

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Speaker 1: take control of the entire process. They own their own slaughterhouses,

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Speaker 1: they own their own regenerative farms, and they own the

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Speaker 1: retail side of the business as well. So she has

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Speaker 1: a model that's self sustaining and maybe he can get

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Speaker 1: us a little bit further along the lines that we've

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Speaker 1: talked in this show before, which means scaling the way

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Speaker 1: we feed ourselves, UM in this country, the way that

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Speaker 1: the industry at least is set up to feed us.

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Speaker 1: So a great conversation. UM. As we were talking phil

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Speaker 1: um Anya did it had she was home because of

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Speaker 1: quarantine with the kids. And there's some noise in the background,

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Speaker 1: but you'll hear Phil is going to cut it all

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Speaker 1: out of there. Uh. He's gonna make it beautiful, He's

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Speaker 1: gonna make it sound perfect. Anyway. You'll have to. You

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Speaker 1: have to get over some stuff there. She did a

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Speaker 1: little bit of noise in the background throughout the thing,

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Speaker 1: but she has a lot of really powerful stuff to say. Um.

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Speaker 1: And we had a great conversation and I enjoyed the

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Speaker 1: hell out of Anya fernald Um, so stick and stay

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Speaker 1: for that. But before we get to that, we got

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Speaker 1: to announce a brand new contest, phil O. Man, here

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Speaker 1: it is phil and I spent hours workshopping this last night.

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Speaker 1: That's over a zoom call, zoom call, and then and

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Speaker 1: then a couple of a couple of text message threads. Afterwards,

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Speaker 1: we just couldn't we The ideas were flowing. Yep, and

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Speaker 1: uh you ever, we took wine glasses, filled them up

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Speaker 1: with watermelon white claw, uh, frozen frozen watermelon bits in there.

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Speaker 1: It was lovely. It was a lovely evening. Um, candles,

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Speaker 1: all kinds of things. Of course, here's the deal. We

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Speaker 1: haven't done a contest in a while. It's been a while.

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Speaker 1: How long has it been. It's been like till since

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Speaker 1: the summer since we've done a contest. Was it was

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Speaker 1: it pre COVID? No, it was during COVID, because we

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Speaker 1: did the Great American Outdoors Contest. Man, God, this thing

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Speaker 1: has been going on so long. I know, it's just

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Speaker 1: like real life now, it's not even a pandemic. Game

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Speaker 1: is just like, well, this is that's kind of what

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Speaker 1: it is. Don't get close to Grandma. It's gonna be

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Speaker 1: rough for a while. But we haven't really gotten dinner

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Speaker 1: any contest want. For one reason, it was hard to

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Speaker 1: fulfill the prizes of the contest because we had so

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Speaker 1: many delays and getting stuff to people. We finally got

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Speaker 1: that figured out, but we got a new contest film

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Speaker 1: and we don't really know. We spent so much time

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Speaker 1: talking about it. We don't really know exactly what we want.

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Speaker 1: But it's one of those things where we'll know it,

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Speaker 1: Phil and I will know it when we see it.

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Speaker 1: You'll do something cool and we'll say, that's what we

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Speaker 1: were asking, that's what we were thinking, that's what we

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Speaker 1: wanted you to do as soon as we see the

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Speaker 1: damn thing. And so here's the deal I have. I

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Speaker 1: watched the social dilemma. You ever watched that, philm We

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Speaker 1: watched a social dilemma. I've been too scared. Yeah, it

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Speaker 1: scares that. It scares the living, but Jesus out of you. Um,

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Speaker 1: And we talked. I talked about a little bit with

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Speaker 1: Onya coming up in the episode. But I got a

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Speaker 1: little bit spooked, and I don't know if I made

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Speaker 1: a mistake or not. But here's what I did. I

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Speaker 1: gotta I watched the social Dilemma, got scared that social

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Speaker 1: media was trying to addict me and keep me on

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Speaker 1: there ten hours a day, and I unfollowed everybody on Instagram,

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Speaker 1: all the hundreds of people that I followed, you included, Phil,

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Speaker 1: You're off. That's okay, I understand, Yeah, well we could

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Speaker 1: still be friends. I unfollowed everybody except for one page, Phil,

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Speaker 1: And guess what that page is. Well, it's gotta be

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Speaker 1: our title sponsor Element. It's not Element. Although now I'm

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Speaker 1: sorry you. I'm followed Element. Yeah I did. It was

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Speaker 1: a rash decision. I know I have to build things

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Speaker 1: back up, but I could. The only one I couldn't

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Speaker 1: get rid of his White Claw. Okay, that's a that's great. Now.

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Speaker 1: So if you go to my page on Instagram at

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Speaker 1: Benny O B three oh one, you'll see that I

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Speaker 1: am following only white Claw. I'm a little bit worried

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Speaker 1: that I made a mistake because I got spooked by

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Speaker 1: the social Dilemma documentary and next thing, I know, it's

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Speaker 1: just me and White Claw and I'm refreshing and refreshing

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Speaker 1: and refreshing, and it's just White Claw pictures the entire time.

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Speaker 1: And I think that's not good for me, because I'm

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Speaker 1: gonna just become a major alcoholic in a very short

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Speaker 1: time because of this decision that I'm sorry, You're going

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Speaker 1: to become a major alcoholic. WHOA, I know, I know,

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Speaker 1: I'm a stereotyical Irish guy who drinks six White Claws

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Speaker 1: the day I know that was that was too easy.

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Speaker 1: I apologize. Yeah, I was taking the taking the bait.

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Speaker 1: So anyway, here's what we're gonna do. I have a

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Speaker 1: number of I'm gonna say, I have a I'm not

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Speaker 1: even gonna tell you what the number is. I have

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Speaker 1: a number of yetti tumblers with the THHC logo emblazoned

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Speaker 1: on the side, um only available in a box in

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Speaker 1: my office at my house, only available there. That's the

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Speaker 1: only place to exist. So I have those, uh, And

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Speaker 1: then I have a what I'll call a crap ton

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Speaker 1: of element here waiting to send to loyal THHC listeners.

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Speaker 1: Now that's like the material product that you'll gain from this.

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Speaker 1: But if you want to know what the real what's

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Speaker 1: the real prize field? You know what you want to

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Speaker 1: explain to people? What the real prizes? The friends we

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Speaker 1: made along the way, No, that's nope, what did we

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Speaker 1: talk about? What's the real prize here? What's the real

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Speaker 1: thing that people are going to be excited to get

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Speaker 1: out of this? You are going to follow them on Instagram. Unbelievable.

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Speaker 1: You have like some sound effect of trumpets there. It

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Speaker 1: is triumph. Unbelievable. You're gonna get You're gonna be as

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Speaker 1: I as I undo my mistake. You're going to be

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Speaker 1: the winners of the of this contest are going to

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Speaker 1: be the first people that I follow on Instagram. That way,

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Speaker 1: when I refresh my Instagram, the only thing is there

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Speaker 1: is you and white Claw, And imagine being an occult

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Speaker 1: where you're this close to the leader. I mean, unbelievable

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Speaker 1: for you guys, it's gonna I mean it's like getting

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Speaker 1: a brand new robe or something. So anyway, that is

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Speaker 1: the prize. You want me to tell you what the

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Speaker 1: contest is, Phil, I would love to hear it. It's

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Speaker 1: a The prize is amazing. I would of us do

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Speaker 1: anything for this. Um, here's what you gotta do. Here's

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Speaker 1: you gonna do, And there's two ways to enter. The

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Speaker 1: first way to enter is to email me. The second

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Speaker 1: way to enter is to tag me on Instagram so

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Speaker 1: I could see it there because I got nothing else

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Speaker 1: to do there, because when I go there, I got

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Speaker 1: nothing to look at now. So tag me, I'll see it.

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Speaker 1: Help me out. I want you this is gonna be

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Speaker 1: a holiday traditions contest and it's a bit of a

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Speaker 1: choose your own adventure kind of thing. Here's what I

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Speaker 1: want you to do. I want you to take a photo,

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Speaker 1: make a video, some kind of thing. Photo or video

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Speaker 1: is pretty much the only two ways you can participate here,

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Speaker 1: showing the way you do the holidays, wild game dishes,

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Speaker 1: cool photos with your grandfather, well Pratt, Well, that might

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Speaker 1: be less of those in COVID times. Cool meals, family traditions,

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Speaker 1: things that make me and Phil laugh, drawings of Phil

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Speaker 1: and Phil Junior. And Thanksgiving garb anything Thanksgiving, your Christmas

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Speaker 1: related or however you celebrate it could be Kuanza doesn't

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Speaker 1: really matter. Better you send us something that makes us laugh,

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Speaker 1: Post something on Instagram that makes us laugh makes us

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Speaker 1: feel all warm and fuzzy for the holidays season. That

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Speaker 1: says th HC. That what we're all about in the cult,

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Speaker 1: and that says what what you're all about it Thanksgiving.

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Speaker 1: Mixed those two things together and come back with something amazing.

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Speaker 1: It could be a cocktail, could take time to do

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Speaker 1: a cocktail. The more intricate the thing that you do,

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Speaker 1: the better, and the more funny it is the better.

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Speaker 1: Does that's all make sense feel to you? Yes, I'm

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Speaker 1: a I'm a big fan of this contest. Yeah, so

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Speaker 1: we want to hear, we want to feel your holiday

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Speaker 1: festive feelings, and we want to know that you love

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Speaker 1: th HC. That's all. And we will send you element

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Speaker 1: a yetti tumbler and I will follow your ass on Instagram. Now,

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Speaker 1: if you don't have Instagram, this makes a whole lot

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Speaker 1: of no sense to you. But you could just get Instagram.

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Speaker 1: It's pretty freaking easy. Just go over there, sign up

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Speaker 1: for it, and then you'll be there and you can

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Speaker 1: be part of of this and you may win something.

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Speaker 1: And ultimately I'm going to see at least a few

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Speaker 1: of you every day. But I log on Instagram no

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Speaker 1: matter what you're doing. I will see it. So, um,

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Speaker 1: anything anything to wrap this up till I know you're

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Speaker 1: really invested in this one. No, you know, I just uh,

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Speaker 1: I mean as as one of the three board members

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Speaker 1: of the cult, I I I just want to see, Yeah,

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Speaker 1: just share your holiday traditions. And Ben said today like

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Speaker 1: I I don't even necessarily think it has to do

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Speaker 1: with with like with th HC. Something that like reminds

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Speaker 1: you of the holidays that you look forward to. Uh,

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Speaker 1: you know that's what That's what I want to see. Yes,

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Speaker 1: something cool and why and why it's important to you.

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Speaker 1: That's right, That's right. So he emailed us at th

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Speaker 1: HC at the Mediator dot com or tag me at

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Speaker 1: Benny O B three oh one on Instagram and we'll

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Speaker 1: get to getting on. You have until you'll be listening

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Speaker 1: to this hopefully on Tuesday. You have until next Tuesday

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Speaker 1: to get us in. You have a one week to

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Speaker 1: get in your entries and we will review some of

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Speaker 1: them and podcasts to come here down the road. So

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Speaker 1: I got a lot, I got a number of tumblers,

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Speaker 1: I got a lot of elements, and I got unlimited

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Speaker 1: amount of followers I can follow on that this here

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Speaker 1: Instagram so get it together. Send us something cool and

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Speaker 1: we'll give you priceless gifts this holiday season. Moving on, Phil,

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Speaker 1: before we get to on you, a couple of things

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Speaker 1: we gotta get to got an email from Dana Zook.

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Speaker 1: Dana says she's got something. She's got kind of a

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Speaker 1: This may be for you, Phil. This she's got an email,

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Speaker 1: says guidance on conflict with another hunter. This may be

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Speaker 1: a doctor, film, medicine, woman time. But you let me

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Speaker 1: know what you think after I'm done reading this. I

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Speaker 1: don't want to put any pressure on you. I don't

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Speaker 1: wanna put any pressure, she says, gentlemen. So I suppose

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Speaker 1: I should start out by saying, this is a quote

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Speaker 1: unquote pending conflict, but one I am certain will occur

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Speaker 1: when the season starts here soon. In Ohio, there is

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Speaker 1: a piece of property, private property, just a few miles

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Speaker 1: from my house where I have hunted waterfowl for several years.

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Speaker 1: It is a nice pond, small but fun to hunt,

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Speaker 1: and we have done quite well there. Until recently. I

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Speaker 1: was the only one permitted to hunt it because the

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Speaker 1: owner had too much trouble with other people. This year,

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Speaker 1: the property sold and the new owner allows people to

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Speaker 1: hunt it, which I generally have no problem with it

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Speaker 1: at all. I've met a couple of hunting buddies by

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Speaker 1: showing up at the same spot with them in the morning. However,

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Speaker 1: during the early portion of Ohio's duck season at the

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Speaker 1: beginning of October, I went to the property to check

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Speaker 1: and see if there were any birds using it, as

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Speaker 1: I had thought to hunt it the next day. I

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Speaker 1: noticed that there was a portable blind beside the pond

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Speaker 1: and a number of decoys on the water. However, there

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Speaker 1: was no one there. I went back later and the

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Speaker 1: blind and decoys remained, but still no one there. I

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Speaker 1: called the landowner to see if he knew whose stuff

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Speaker 1: it was. He says, oh, it's probably so and so

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Speaker 1: here's his number if you want to call him. I

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Speaker 1: call the guy and he tells me, yes, it's his stuff,

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Speaker 1: and he intends to hunt there for the next day

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Speaker 1: and for the next couple of weeks, and it's sort

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Speaker 1: of my stuff is there, so I'm the one hunting

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Speaker 1: it for now type of way. He told me he

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Speaker 1: had hunted there for the past four days but hadn't

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Speaker 1: seen a bird, which I know is bullshit. That's not

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Speaker 1: seeing birds part. I mean he said that he intended

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Speaker 1: to remove this stuff after the early season was over,

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Speaker 1: which was the following week, so I didn't make too

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Speaker 1: much of an issue of it. Today, seven weeks later,

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Speaker 1: I went back to check the spot and noted his

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Speaker 1: blind and decoys are still there, the blind half torn

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Speaker 1: apart by the weather, and the decoys scattered all over

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Speaker 1: the pond, with most of the goose decoys missing their heads,

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Speaker 1: which were scattered about other places on the water. Again,

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Speaker 1: this is private property which several different people have permissioned

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Speaker 1: to hunt. The guys who left his stuff out there

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Speaker 1: knows this, and it is a good spot right now

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Speaker 1: down the road from my house. I also haunt other

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Speaker 1: properties owned by the same person. So what's your move?

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Speaker 1: Get there extra early, knowing the other guy is going

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Speaker 1: to show ten minutes before shooting time, planning to crawlon,

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00:20:11,040 --> 00:20:14,679
Speaker 1: is already set up spot, pack his stuff up and

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Speaker 1: put it in his blind, hunt over his spread. Call

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Speaker 1: him and try to work it out from the previous conversation,

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Speaker 1: the fact that he's leaving his stuff out there for

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Speaker 1: the whole season on property he knows others hunt. I'm

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Speaker 1: going to go ahead and guess the guy isn't going

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Speaker 1: to respond real favorably to any of these options. Do

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Speaker 1: I just bite the bullet and give up that spot

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Speaker 1: so it's not to cause an issue and lose permission

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Speaker 1: for the landowner on the other spots? Thanks? Keep up

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Speaker 1: the good work, Dana. What do we do about this film?

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Speaker 1: This is? This is when we've kind of run into

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Speaker 1: on public land before. I think we even had a

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Speaker 1: story on the show where somebody, an antelope hunter, was

379
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Speaker 1: leaving there. They're blind on public land next to a

380
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Speaker 1: water hole, but in this case it's private land, and

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Speaker 1: so there's other things that play. Um, Phil as a

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Speaker 1: non hunter, what do you think one of my least

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Speaker 1: favorite things in the world is um When you go

384
00:21:05,880 --> 00:21:09,000
Speaker 1: to a movie theater and you're looking for seats and

385
00:21:09,040 --> 00:21:12,480
Speaker 1: there's one person there who spread like five coats across

386
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Speaker 1: an entire aisle, They're like, uh, you know, I I do.

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Speaker 1: I do not like this. What is preventing Dana from

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Speaker 1: just I mean, if the guy is not there, just

389
00:21:27,640 --> 00:21:30,359
Speaker 1: like setting up a blind next to this guy's blind

390
00:21:30,440 --> 00:21:34,000
Speaker 1: and hunting over his his like his decoys or spread.

391
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Speaker 1: Is that is that frowned upon? It's not frowned upon.

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Speaker 1: I mean, this is a situation where you just gotta

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Speaker 1: work it out. But what I would say is if

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Speaker 1: somebody's leaving their decoys and blind up anyway, that kind

395
00:21:46,320 --> 00:21:48,600
Speaker 1: of takes away your ability to have a set up

396
00:21:48,600 --> 00:21:51,920
Speaker 1: your own decoys the way you want, the direction you want.

397
00:21:52,080 --> 00:21:55,359
Speaker 1: Let's say the wind direction is shifted. Let's say you

398
00:21:55,400 --> 00:21:57,960
Speaker 1: have a different style. Let's say you're gonna do less decoys,

399
00:21:57,960 --> 00:22:01,520
Speaker 1: more decoys. Let's say you're gonn do a spinner. Um,

400
00:22:01,680 --> 00:22:03,480
Speaker 1: let's say you don't want to put geese out, whatever,

401
00:22:03,560 --> 00:22:05,480
Speaker 1: whatever your whatever the deal is. We don't really know

402
00:22:05,560 --> 00:22:08,920
Speaker 1: from Dana what what exactly he's after in terms of

403
00:22:08,960 --> 00:22:12,720
Speaker 1: species of ducks. Um, but it just gives you less

404
00:22:12,760 --> 00:22:15,840
Speaker 1: options because you're already either pack up that guy's stuff

405
00:22:16,000 --> 00:22:19,800
Speaker 1: and which seems to asshole ish, you know, on his face,

406
00:22:19,880 --> 00:22:22,359
Speaker 1: just to touch another guy's property and throw it in,

407
00:22:23,200 --> 00:22:25,879
Speaker 1: throw it back in the ditch or something. But regardless,

408
00:22:25,920 --> 00:22:28,040
Speaker 1: he's kind of staking his claim that this is his

409
00:22:28,200 --> 00:22:32,600
Speaker 1: spot by leaving his stuff there. Um, So that's no bueno.

410
00:22:33,160 --> 00:22:37,360
Speaker 1: But the question really is, feel, what do you do now?

411
00:22:37,520 --> 00:22:43,000
Speaker 1: I know that you love conflict, bigan. I know, yeah,

412
00:22:43,080 --> 00:22:44,720
Speaker 1: you called me up all the times yelling at me

413
00:22:44,720 --> 00:22:49,440
Speaker 1: about random stuff. UM. So Phil, there's two options, maybe

414
00:22:49,800 --> 00:22:53,200
Speaker 1: three options here. The first one is confronted the guy

415
00:22:54,160 --> 00:22:56,159
Speaker 1: and say hey, this is and take control of it

416
00:22:56,240 --> 00:22:57,880
Speaker 1: and say, hey man, this is how we do things here.

417
00:22:58,080 --> 00:23:00,720
Speaker 1: I'm a veteran hunter, I know the landowner. This is

418
00:23:00,760 --> 00:23:03,159
Speaker 1: how we do things in general. We don't leave our

419
00:23:03,200 --> 00:23:05,879
Speaker 1: stuff out like that. Um. I don't want to get

420
00:23:05,920 --> 00:23:07,680
Speaker 1: your stuff sold and make it about him. I don't

421
00:23:07,720 --> 00:23:09,200
Speaker 1: want you get your stuff sol. I don't want you

422
00:23:09,240 --> 00:23:12,240
Speaker 1: to get your stuff damaged. Um. You know, it's just

423
00:23:12,400 --> 00:23:14,280
Speaker 1: it's just not a good idea to leave stuff out there.

424
00:23:15,440 --> 00:23:17,960
Speaker 1: And so you know, if you don't mind taking that up,

425
00:23:18,040 --> 00:23:19,600
Speaker 1: you can hunt whenever you want. I don't want nobody

426
00:23:19,680 --> 00:23:22,960
Speaker 1: cares first come, first serve in terms of hunting. Um.

427
00:23:23,480 --> 00:23:25,359
Speaker 1: But I don't leave your stuff out there if you

428
00:23:25,400 --> 00:23:28,399
Speaker 1: don't mind, just kind of worried about what might happen

429
00:23:28,440 --> 00:23:31,560
Speaker 1: to it. And landowners hate when bad things happen on

430
00:23:31,600 --> 00:23:33,639
Speaker 1: their property because the liability. So you don't want to

431
00:23:33,680 --> 00:23:36,320
Speaker 1: do that. So that's one thing you could do. The

432
00:23:36,400 --> 00:23:39,160
Speaker 1: other thing, as he mentioned, is you could, as Danta mentioned,

433
00:23:39,200 --> 00:23:43,040
Speaker 1: as you could not go back. But um, I don't

434
00:23:43,040 --> 00:23:45,240
Speaker 1: know about you, Phil, but I would definitely go back.

435
00:23:45,440 --> 00:23:47,639
Speaker 1: I would definitely have this phone call and try to

436
00:23:47,680 --> 00:23:49,480
Speaker 1: work it out. If I felt like I couldn't work

437
00:23:49,520 --> 00:23:53,240
Speaker 1: it out, I probably would would not alert the landowner

438
00:23:53,359 --> 00:23:55,240
Speaker 1: and just continue to hunt the rest of the private

439
00:23:55,240 --> 00:23:58,359
Speaker 1: property add access to so I didn't get into some

440
00:23:59,119 --> 00:24:02,040
Speaker 1: so I wasn't able to problem hunter for this landowner

441
00:24:02,080 --> 00:24:04,040
Speaker 1: who was nice. Yeah, I was gonna that was My

442
00:24:04,119 --> 00:24:06,399
Speaker 1: first instinct was like, well, this is something that you

443
00:24:06,520 --> 00:24:09,639
Speaker 1: think the landowner would care about, but I guess you

444
00:24:09,680 --> 00:24:12,760
Speaker 1: wouldn't want to create like a big kerfuffle where there

445
00:24:12,760 --> 00:24:14,720
Speaker 1: doesn't have to be one because you might just lose

446
00:24:14,800 --> 00:24:17,680
Speaker 1: access to the land. Is that kind of yeah, you

447
00:24:17,840 --> 00:24:19,600
Speaker 1: just never know. You have to read the teles with

448
00:24:19,680 --> 00:24:22,359
Speaker 1: a landowner. If you had a landowner who is who's like,

449
00:24:22,440 --> 00:24:26,040
Speaker 1: I'll do this as long as there's no trouble. Trouble's trouble,

450
00:24:26,080 --> 00:24:29,640
Speaker 1: no matter whose fault it is, and so that I've

451
00:24:29,680 --> 00:24:32,040
Speaker 1: had that happened before where landers like, yeah, yeah, you can,

452
00:24:32,200 --> 00:24:33,760
Speaker 1: you can trespass on my ground to get to that

453
00:24:33,840 --> 00:24:36,720
Speaker 1: public spot as long as nothing happens, like a gate

454
00:24:36,800 --> 00:24:39,440
Speaker 1: isn't left open, So then you know you're like, this

455
00:24:39,520 --> 00:24:43,199
Speaker 1: is a very carrious situation that you're in because you've

456
00:24:43,200 --> 00:24:46,440
Speaker 1: got to figure out how serious this lander about letting

457
00:24:46,480 --> 00:24:49,040
Speaker 1: me do this and am my own thin ice. Should

458
00:24:49,040 --> 00:24:50,520
Speaker 1: there be some sort of blow up with this other

459
00:24:50,600 --> 00:24:53,040
Speaker 1: hunter and we're both calling the landowner bitch in and

460
00:24:53,119 --> 00:24:54,840
Speaker 1: he's not. He don't want to deal with that problem,

461
00:24:54,960 --> 00:24:56,440
Speaker 1: and he's going to kick us all out of there.

462
00:24:56,640 --> 00:24:59,359
Speaker 1: So that's another thing to think of in terms of that.

463
00:24:59,520 --> 00:25:01,080
Speaker 1: So I think those are your two options. I mean

464
00:25:01,359 --> 00:25:04,800
Speaker 1: the third one could be just too I guess go

465
00:25:04,960 --> 00:25:08,280
Speaker 1: in there and hunt it and avoid the other guys decos.

466
00:25:08,359 --> 00:25:10,200
Speaker 1: But if they're spread out on a small pond, there's

467
00:25:10,240 --> 00:25:13,320
Speaker 1: nothing you can do. UM Generally, waterfall don't like the

468
00:25:13,440 --> 00:25:17,040
Speaker 1: land next to floating goose heads um as far as

469
00:25:17,119 --> 00:25:19,280
Speaker 1: I know, And so it's gonna make it tougher, for

470
00:25:19,359 --> 00:25:21,280
Speaker 1: it's gonna make it less advantage is to be hunting

471
00:25:21,320 --> 00:25:24,320
Speaker 1: that spot anyway. There's a bunch of debris in the

472
00:25:24,400 --> 00:25:28,440
Speaker 1: pond that you don't feel like you can touch. So Dana,

473
00:25:28,600 --> 00:25:31,200
Speaker 1: I would say, if it was me, i'd call that

474
00:25:31,320 --> 00:25:34,160
Speaker 1: guy and just play the veteran card. I've been around,

475
00:25:34,240 --> 00:25:35,800
Speaker 1: I've seen this stuff. I just want to make sure

476
00:25:35,800 --> 00:25:38,200
Speaker 1: there's no problems here. If you don't mind, just pick

477
00:25:38,280 --> 00:25:40,199
Speaker 1: your stuff up. You can stash it in the woods

478
00:25:40,560 --> 00:25:42,040
Speaker 1: and put it out quickly when you get there, you

479
00:25:42,119 --> 00:25:45,000
Speaker 1: do whatever you want. Just leaving it out, um, it's

480
00:25:45,040 --> 00:25:48,840
Speaker 1: gonna cause problems. So if you don't mind, help help

481
00:25:48,880 --> 00:25:51,479
Speaker 1: her brother out and see where you get um. At

482
00:25:51,560 --> 00:25:53,680
Speaker 1: least you made the effort. You know, at least you

483
00:25:53,840 --> 00:25:58,400
Speaker 1: made the effort here here, here, here, Okay, that's good.

484
00:25:58,520 --> 00:26:02,880
Speaker 1: That's good. Just also depends, man like wherever. If if

485
00:26:02,920 --> 00:26:05,320
Speaker 1: this was here, there's so much public well I don't

486
00:26:05,320 --> 00:26:07,240
Speaker 1: wanna say so much, but there's plenty of public water

487
00:26:07,880 --> 00:26:10,720
Speaker 1: around Montana where I could get a good duck hunt

488
00:26:10,760 --> 00:26:14,800
Speaker 1: in small water, small streams, creeks, ponds, places where I

489
00:26:14,840 --> 00:26:17,120
Speaker 1: can get a good duck hunt in where I don't

490
00:26:17,160 --> 00:26:19,760
Speaker 1: necessarily have to to battle for that. But if you're

491
00:26:19,760 --> 00:26:21,640
Speaker 1: a guy who doesn't have a whole lot of options,

492
00:26:21,960 --> 00:26:25,240
Speaker 1: you have few options. You might want to think about

493
00:26:25,280 --> 00:26:27,920
Speaker 1: putting up a fight, um in the best way possible,

494
00:26:28,000 --> 00:26:30,760
Speaker 1: not just yelling or coming to blows or anything like that.

495
00:26:30,880 --> 00:26:33,920
Speaker 1: So that's hopefully Dana, Dr Phil and I have have

496
00:26:34,119 --> 00:26:36,800
Speaker 1: helped you on that one. You know, we we'd like

497
00:26:36,920 --> 00:26:39,359
Speaker 1: to resurrect Dr Phil Medicine Woman. But Phil, didn't you

498
00:26:39,520 --> 00:26:43,159
Speaker 1: lose the sound effects? Yeah, yeah, I was. I was

499
00:26:43,200 --> 00:26:45,280
Speaker 1: hoping you wouldn't bring it up, but yeah, the hard

500
00:26:45,359 --> 00:26:49,119
Speaker 1: drive of the sound effect was on got corrupted and

501
00:26:50,160 --> 00:26:53,280
Speaker 1: I could us from an old episode. But you know,

502
00:26:54,080 --> 00:26:56,879
Speaker 1: I'll do that eventually if I have to. Happens to

503
00:26:57,800 --> 00:26:59,320
Speaker 1: the best of us. Well, we got a really good

504
00:26:59,359 --> 00:27:01,280
Speaker 1: interview this week, so we're not gonna we got you

505
00:27:01,320 --> 00:27:05,320
Speaker 1: guys gotta get to work on You're awesome holiday content

506
00:27:05,440 --> 00:27:09,119
Speaker 1: for THHD to make us laugh, make us think. So

507
00:27:09,480 --> 00:27:11,760
Speaker 1: we're gonna keep this one short and get straight to

508
00:27:12,800 --> 00:27:16,000
Speaker 1: on your fair Nald and a good conversation about regenda, agriculture,

509
00:27:16,119 --> 00:27:19,840
Speaker 1: the business of meat and everything that happens at Bell

510
00:27:19,920 --> 00:27:30,000
Speaker 1: Campo Farms, which is your company. Enjoy, good morning on you.

511
00:27:30,080 --> 00:27:32,680
Speaker 1: How are you doing great? Thank you for having me

512
00:27:32,720 --> 00:27:35,960
Speaker 1: to David Um. Well, we got a lot to talk about,

513
00:27:36,080 --> 00:27:38,040
Speaker 1: but you are I could tell by we were just

514
00:27:38,160 --> 00:27:40,760
Speaker 1: laughing at We use squadcast of course for the show

515
00:27:40,880 --> 00:27:43,360
Speaker 1: now that we're in COVID times and so, and I'm

516
00:27:43,400 --> 00:27:45,720
Speaker 1: not a sponsored squadcast, so if it messes up. We'll

517
00:27:45,800 --> 00:27:49,920
Speaker 1: we'll blame them. But they show us a little map

518
00:27:50,040 --> 00:27:52,920
Speaker 1: of exactly where you are, a little bit creepy. Um,

519
00:27:53,560 --> 00:27:55,880
Speaker 1: but it looks like you're Brison Water. So I'm gonna

520
00:27:55,880 --> 00:27:59,159
Speaker 1: guess California. I am. I'm in the Bay Area in

521
00:27:59,320 --> 00:28:07,000
Speaker 1: North count you know. It's I was in l A

522
00:28:07,160 --> 00:28:12,920
Speaker 1: last week and it's real different up here. And I

523
00:28:12,960 --> 00:28:14,720
Speaker 1: don't need to get into my politics on it, but

524
00:28:15,600 --> 00:28:18,000
Speaker 1: I don't like that I get yelled at if I'm

525
00:28:18,040 --> 00:28:20,080
Speaker 1: not wearing a mask walking down the street by myself

526
00:28:20,160 --> 00:28:23,760
Speaker 1: with my children. That's North Call and that's so called

527
00:28:23,800 --> 00:28:25,479
Speaker 1: a very different vibe and so calm. I'm like, yo,

528
00:28:25,800 --> 00:28:28,119
Speaker 1: like slaw your roll, people like give you step away.

529
00:28:28,480 --> 00:28:30,600
Speaker 1: So I feel like in between the two. I'm somewhere

530
00:28:30,640 --> 00:28:33,560
Speaker 1: in between the two between like East l A and

531
00:28:33,880 --> 00:28:36,679
Speaker 1: East Bay, which is kind of where between you recently

532
00:28:36,720 --> 00:28:40,400
Speaker 1: spend time. So yeah, it's it's it's um like everywhere

533
00:28:40,520 --> 00:28:43,080
Speaker 1: right now. I think there's a lot of a lot

534
00:28:43,160 --> 00:28:50,240
Speaker 1: of fear, um and concern. Yeah, a lot a lot uncertainty.

535
00:28:50,280 --> 00:28:52,520
Speaker 1: Well we'll get into obviously what your businesses and and

536
00:28:52,760 --> 00:28:54,120
Speaker 1: some of the really cool things that you do, but

537
00:28:54,240 --> 00:28:57,040
Speaker 1: what what challenges have you seen on a professional level

538
00:28:57,400 --> 00:29:01,280
Speaker 1: from this, Because I know your operations are massive or

539
00:29:01,320 --> 00:29:07,200
Speaker 1: becoming so so I really see only opportunities. And I'm

540
00:29:07,240 --> 00:29:10,200
Speaker 1: not just saying that to be like business speaky. You know,

541
00:29:11,240 --> 00:29:17,080
Speaker 1: COVID gave me this, this moment where I was able

542
00:29:17,120 --> 00:29:21,560
Speaker 1: to focus on what really mattered in many areas of

543
00:29:21,640 --> 00:29:25,360
Speaker 1: my life, um and in my business in particular. I

544
00:29:27,120 --> 00:29:29,280
Speaker 1: I had a rough month. I mean, I'd say the

545
00:29:29,360 --> 00:29:32,240
Speaker 1: hardest month of my life was that like mid March

546
00:29:32,360 --> 00:29:35,320
Speaker 1: to probably end of April. And what happened in that month.

547
00:29:35,920 --> 00:29:40,600
Speaker 1: I permanently closed two restaurants, I had to fire three

548
00:29:41,800 --> 00:29:46,680
Speaker 1: team members. UM. My e commerce site became overwhelmed and

549
00:29:47,000 --> 00:29:50,120
Speaker 1: crashed multiple times, and our fulfillment was a mass suite

550
00:29:50,880 --> 00:29:52,760
Speaker 1: came close to running out of product a few times.

551
00:29:53,520 --> 00:29:56,760
Speaker 1: A lot of my expansion plans in retail were stymy.

552
00:29:56,840 --> 00:29:59,080
Speaker 1: So this is something people don't understand, is that everyone

553
00:29:59,200 --> 00:30:01,320
Speaker 1: was going banan. That is in the grocery stores and

554
00:30:01,360 --> 00:30:04,480
Speaker 1: people are buying everything, but news stores weren't taking on

555
00:30:04,520 --> 00:30:06,640
Speaker 1: new products, so they couldn't manage. They were riding the

556
00:30:06,680 --> 00:30:09,440
Speaker 1: wave right, so we were hoping to get slotted in

557
00:30:09,560 --> 00:30:12,440
Speaker 1: lots more stores, and we just couldn't do it because

558
00:30:12,960 --> 00:30:14,840
Speaker 1: nobody wanted to take a call with a new vendor

559
00:30:14,920 --> 00:30:17,880
Speaker 1: at that time. So I had a really aggressive growth

560
00:30:17,920 --> 00:30:22,000
Speaker 1: plan around my grocery channel. That changed, but e commerce

561
00:30:22,080 --> 00:30:25,000
Speaker 1: picked up and now groceries picking up again, and then

562
00:30:25,080 --> 00:30:28,960
Speaker 1: the beautiful thing that happened is, you know, one good

563
00:30:29,040 --> 00:30:32,800
Speaker 1: decision I had made pre covid was to invest really

564
00:30:32,880 --> 00:30:37,360
Speaker 1: heavily in the delivery platforms. So when Covid hit, I

565
00:30:37,520 --> 00:30:39,760
Speaker 1: was on every platform. I had the right software in

566
00:30:39,800 --> 00:30:42,040
Speaker 1: the restaurants to like process all the orders and put

567
00:30:42,080 --> 00:30:43,479
Speaker 1: them directly into the kitchen, you know, some of these

568
00:30:43,560 --> 00:30:46,280
Speaker 1: kind of like functional things. I had excellent photography on

569
00:30:46,320 --> 00:30:48,800
Speaker 1: all the platforms. So we've actually been in a really

570
00:30:48,840 --> 00:30:52,520
Speaker 1: privileged position where the restaurants that I have remaining are

571
00:30:52,680 --> 00:30:55,520
Speaker 1: all up year on year. And there's two reasons. One

572
00:30:55,600 --> 00:30:58,840
Speaker 1: is that we're well positioned on digital um and and

573
00:30:59,000 --> 00:31:03,600
Speaker 1: two is that we've product that's that's justifiably branded and

574
00:31:03,640 --> 00:31:08,320
Speaker 1: associated with wellness and health. You know, I position my

575
00:31:08,440 --> 00:31:12,160
Speaker 1: products is we're an animal wellness company, animal wellness and

576
00:31:12,200 --> 00:31:15,840
Speaker 1: support of human wellness. So a lot of my clientele

577
00:31:15,880 --> 00:31:18,960
Speaker 1: are people who interested in in optimal performance or longevity

578
00:31:19,160 --> 00:31:21,720
Speaker 1: or all these kind of things, and that's something that

579
00:31:21,880 --> 00:31:24,040
Speaker 1: we do. Then the other thing is, you know, I

580
00:31:24,360 --> 00:31:27,280
Speaker 1: feel empathy for the people selling seaweed salads right now

581
00:31:27,360 --> 00:31:30,160
Speaker 1: because it's like there's a moment in COVID where people

582
00:31:30,240 --> 00:31:32,880
Speaker 1: are looking at their food dollar and saying, wow, do

583
00:31:33,000 --> 00:31:35,400
Speaker 1: I want to spend fifteen dollars for three hundred calories?

584
00:31:35,440 --> 00:31:37,960
Speaker 1: That seemed like a good idea a month ago, but

585
00:31:38,160 --> 00:31:41,080
Speaker 1: right now it really doesn't, right, And so my food

586
00:31:41,480 --> 00:31:44,720
Speaker 1: is high calorie, high fat, high protein. You know, we

587
00:31:44,800 --> 00:31:48,040
Speaker 1: sell a lot of hamburgers, are we do salads that

588
00:31:48,120 --> 00:31:50,120
Speaker 1: have like half pounds of meat on them. It's a

589
00:31:50,240 --> 00:31:53,640
Speaker 1: very meaty brand, so that even though we're a premium

590
00:31:53,680 --> 00:31:56,720
Speaker 1: price point, I think our type of food has been

591
00:31:57,320 --> 00:31:59,680
Speaker 1: appealing because it does represent value, you know, if you're

592
00:31:59,680 --> 00:32:02,960
Speaker 1: actually looking to spend more for good calories as opposed

593
00:32:03,000 --> 00:32:06,200
Speaker 1: to spend on something where you feel kind of satiated

594
00:32:06,200 --> 00:32:08,000
Speaker 1: but you don't get many calories, which is like, especially

595
00:32:08,000 --> 00:32:10,280
Speaker 1: in California, what people were looking for prior or in

596
00:32:10,360 --> 00:32:13,080
Speaker 1: a nice position right now, Yeah, I was gonna ask you,

597
00:32:13,120 --> 00:32:14,840
Speaker 1: gonna answer my next question as you were talking, and

598
00:32:14,920 --> 00:32:17,400
Speaker 1: I was thinking of you know, is it you have

599
00:32:17,520 --> 00:32:20,800
Speaker 1: a product that as a premium price point. You know,

600
00:32:20,920 --> 00:32:23,600
Speaker 1: do you feel like the market changed during COVID times

601
00:32:23,640 --> 00:32:26,520
Speaker 1: to be more about access? I just wanted I wanted

602
00:32:26,560 --> 00:32:30,040
Speaker 1: at my house, you know. I always thought maybe price

603
00:32:30,080 --> 00:32:33,880
Speaker 1: point would come become a much more important with the economy.

604
00:32:33,920 --> 00:32:36,840
Speaker 1: But it sounds like, Um, really, it's the value of

605
00:32:37,040 --> 00:32:38,920
Speaker 1: what they can get and how quickly they can get

606
00:32:38,960 --> 00:32:42,560
Speaker 1: it and easily they can get it. Yeah, So I've

607
00:32:42,600 --> 00:32:45,840
Speaker 1: been surprised by that. I initially thought we would be

608
00:32:46,760 --> 00:32:50,520
Speaker 1: in a real bind around our price point. And to

609
00:32:50,680 --> 00:32:54,560
Speaker 1: that end, I've launched multiple trials with like a cheaper,

610
00:32:54,760 --> 00:32:58,600
Speaker 1: non organic but still regenerative product alongside an organic product

611
00:32:58,680 --> 00:33:01,360
Speaker 1: at a higher price point, and I continue to only

612
00:33:01,440 --> 00:33:04,960
Speaker 1: sell out of the organic product at the higher price point.

613
00:33:05,920 --> 00:33:07,480
Speaker 1: I also think this is just a bit of a

614
00:33:07,560 --> 00:33:09,560
Speaker 1: kind of random factory. But this is the first year

615
00:33:09,680 --> 00:33:12,760
Speaker 1: that I've been sold out of turkeys, like a week

616
00:33:12,840 --> 00:33:18,520
Speaker 1: before Thanksgiving, and my turkeys started eighty five dollars. Um.

617
00:33:19,240 --> 00:33:21,800
Speaker 1: So I don't know what's going on. Um. I think

618
00:33:21,960 --> 00:33:24,200
Speaker 1: there's a couple of things that from where I'm sitting.

619
00:33:24,840 --> 00:33:28,200
Speaker 1: One is people want things that they can trust, right

620
00:33:28,520 --> 00:33:31,080
Speaker 1: everything's gone topsy turvy right now in the world. Right

621
00:33:31,160 --> 00:33:34,000
Speaker 1: there's a huge amount of discompopulation. Where a brand, we

622
00:33:34,120 --> 00:33:36,640
Speaker 1: stand for something, we have high integrity. I can tell

623
00:33:36,640 --> 00:33:38,920
Speaker 1: you where all the stuff comes from. We've been there

624
00:33:39,040 --> 00:33:42,320
Speaker 1: throughout this pandemic. We've been opened every freaking day, which

625
00:33:42,360 --> 00:33:45,120
Speaker 1: has been no small feat, you know, through riots and

626
00:33:45,880 --> 00:33:48,400
Speaker 1: fires and everything. It's like bell Campos doors have opened.

627
00:33:48,400 --> 00:33:50,960
Speaker 1: We've sold our customers really high quality meat. We've we

628
00:33:51,040 --> 00:33:53,080
Speaker 1: stayed really friendly. So I think that counts for something,

629
00:33:53,480 --> 00:33:55,160
Speaker 1: you know. I gotta think that counts for something in

630
00:33:55,280 --> 00:33:57,600
Speaker 1: terms of why we're showing some lift right now. The

631
00:33:57,680 --> 00:34:00,520
Speaker 1: other pieces, I think a lot of really are releast

632
00:34:00,560 --> 00:34:05,720
Speaker 1: stuff about the meat supply system was had some had

633
00:34:05,800 --> 00:34:08,040
Speaker 1: some sort of flex during COVID. I think people started

634
00:34:08,080 --> 00:34:11,040
Speaker 1: to like look in look behind the curtain a little

635
00:34:11,040 --> 00:34:13,759
Speaker 1: bit and got kind of grossed out. Um, So I

636
00:34:13,800 --> 00:34:15,799
Speaker 1: think there's probably a part of my customer base that's

637
00:34:16,000 --> 00:34:20,160
Speaker 1: that's that's you know, getting a bit more aware of

638
00:34:20,280 --> 00:34:23,839
Speaker 1: the issues and wanting to make a better choice. Right. Yeah, Yeah,

639
00:34:23,880 --> 00:34:26,400
Speaker 1: it seems it certainly seems that way. It certainly seems

640
00:34:26,480 --> 00:34:30,960
Speaker 1: that some of the conditions in large scale processing factories

641
00:34:31,280 --> 00:34:33,759
Speaker 1: and other places, and the fact that some of these

642
00:34:33,760 --> 00:34:36,359
Speaker 1: employees are getting COVID just it seemed to like pop

643
00:34:36,440 --> 00:34:39,160
Speaker 1: in the news for for reasons that I can't I

644
00:34:39,280 --> 00:34:41,200
Speaker 1: couldn't explain, but it's good to hear you say that.

645
00:34:41,680 --> 00:34:43,600
Speaker 1: You know, people are really looking for quality and time

646
00:34:43,719 --> 00:34:46,040
Speaker 1: like this. Can you quickly tell us? Not quickly, we

647
00:34:46,239 --> 00:34:48,640
Speaker 1: we had plenty of time, but tell us about Bill Campo.

648
00:34:49,239 --> 00:34:51,000
Speaker 1: You know how it came to be what it is

649
00:34:51,680 --> 00:34:54,440
Speaker 1: because I got a ton of questions about um, you know,

650
00:34:54,640 --> 00:34:57,400
Speaker 1: scale and sustainability and all those things within your business.

651
00:34:57,440 --> 00:34:59,400
Speaker 1: But you know, people really need to know exactly what

652
00:35:00,000 --> 00:35:03,680
Speaker 1: the vision is around Belt Campo. Sure, the company is

653
00:35:04,000 --> 00:35:11,400
Speaker 1: a vertically integrated premium organic meat supply chain. In short,

654
00:35:11,920 --> 00:35:14,600
Speaker 1: what does that really mean. It means that we own

655
00:35:15,400 --> 00:35:19,600
Speaker 1: pastures in California, we built and operate our own slaughterhouse

656
00:35:19,800 --> 00:35:22,920
Speaker 1: USDA approved, and we have a group of retail stores,

657
00:35:22,960 --> 00:35:25,160
Speaker 1: but more importantly in the growth channel for the company

658
00:35:25,160 --> 00:35:27,640
Speaker 1: as we sell direct to consumers online and in an

659
00:35:27,680 --> 00:35:32,239
Speaker 1: increasing number of grocery stores. So my vision is to

660
00:35:32,480 --> 00:35:37,839
Speaker 1: become a national meat brand that people can trust if

661
00:35:37,840 --> 00:35:42,960
Speaker 1: they're concerned about issues of animal human planetary wellness, and

662
00:35:43,040 --> 00:35:45,839
Speaker 1: they don't you know, right now, the brands you can

663
00:35:45,880 --> 00:35:48,160
Speaker 1: find most broadly in meat without like going to a

664
00:35:48,200 --> 00:35:51,799
Speaker 1: farmer's market. Um really ask you to to check your

665
00:35:51,840 --> 00:35:54,680
Speaker 1: values at the door, right Um. And so I'm trying

666
00:35:54,719 --> 00:35:56,799
Speaker 1: to create a brand where in a product that checks

667
00:35:56,800 --> 00:35:59,200
Speaker 1: all the boxes. And what that means is that I

668
00:35:59,280 --> 00:36:00,800
Speaker 1: can go in there and I say this about my

669
00:36:00,840 --> 00:36:04,840
Speaker 1: product all the time. We are climate positive, we are

670
00:36:04,960 --> 00:36:09,880
Speaker 1: carbon sequestering operation. We're farming regencatively. Our land has been

671
00:36:09,960 --> 00:36:12,560
Speaker 1: tracking to increase carbon over the past seven years. Okay,

672
00:36:12,640 --> 00:36:16,080
Speaker 1: so there's your climate piece. We are focused on animal wellness.

673
00:36:16,560 --> 00:36:20,400
Speaker 1: We use only evolutionary diets. Are animals are all pastor

674
00:36:20,600 --> 00:36:22,360
Speaker 1: not just free range, like they don't just have access

675
00:36:22,440 --> 00:36:24,920
Speaker 1: to outdoors, but are chickens and pigs are actually live

676
00:36:24,960 --> 00:36:28,440
Speaker 1: outdoors their whole lives. We are slow growing, so our

677
00:36:28,520 --> 00:36:30,600
Speaker 1: protein grows at the same kind of paste at a

678
00:36:30,640 --> 00:36:34,040
Speaker 1: wild animal would. Right, It's somewhere between two and five

679
00:36:34,120 --> 00:36:36,680
Speaker 1: times as long depending on species as a conventional operation.

680
00:36:37,080 --> 00:36:39,480
Speaker 1: And we're also you know, certified human in terms or handling,

681
00:36:39,520 --> 00:36:42,000
Speaker 1: certified organic, so all those pieces are part of it

682
00:36:42,080 --> 00:36:46,880
Speaker 1: as well. So what I'm by listening this off, I'm saying, okay, consumer,

683
00:36:47,520 --> 00:36:49,520
Speaker 1: if you are concerned about me for any one of

684
00:36:49,600 --> 00:36:51,799
Speaker 1: these reasons, don't like what does in the planet, don't

685
00:36:51,840 --> 00:36:53,640
Speaker 1: like what it does to animal, doesn't like don't like

686
00:36:53,719 --> 00:36:55,720
Speaker 1: what does your body, because that's something that we should

687
00:36:55,719 --> 00:36:58,279
Speaker 1: talk about. You know, there's a lot of toxicity is

688
00:36:58,320 --> 00:37:00,319
Speaker 1: kind of a very l a word, but like there's

689
00:37:00,320 --> 00:37:03,960
Speaker 1: a lot of problems with an inflammation associated with the

690
00:37:04,040 --> 00:37:07,880
Speaker 1: animals diet and how it it extends to human diets. Right,

691
00:37:08,040 --> 00:37:10,560
Speaker 1: So like when we actually eat animals that are inflamed,

692
00:37:10,640 --> 00:37:13,600
Speaker 1: we too get inflamed. So people who are concerned about

693
00:37:13,640 --> 00:37:16,319
Speaker 1: human health and have things like ibs, etcetera, that's going

694
00:37:16,360 --> 00:37:18,960
Speaker 1: to be an answer for them as well. So all

695
00:37:19,040 --> 00:37:22,319
Speaker 1: of these pieces are concerns. Right. There are all things

696
00:37:22,400 --> 00:37:24,719
Speaker 1: that customers and people in America say, Hey, I wish

697
00:37:24,760 --> 00:37:26,440
Speaker 1: I could eat meat if it only kind of did

698
00:37:26,520 --> 00:37:28,759
Speaker 1: these things for me, or wasn't this bad? And what

699
00:37:28,880 --> 00:37:31,279
Speaker 1: I say is here it is, here's the product that

700
00:37:31,440 --> 00:37:35,040
Speaker 1: doesn't do those things. It's gonna cost more, right, and

701
00:37:36,040 --> 00:37:39,160
Speaker 1: that message and that product has been in the past,

702
00:37:39,239 --> 00:37:42,160
Speaker 1: you know, eighteen months really thriving, and we position ourselves

703
00:37:42,200 --> 00:37:44,920
Speaker 1: you mentioned animal wellness and support of human wellness. UM,

704
00:37:45,040 --> 00:37:47,839
Speaker 1: so are you know our clientele tends to people who

705
00:37:47,880 --> 00:37:49,840
Speaker 1: are as interested in planetary health as they are in

706
00:37:49,880 --> 00:37:52,960
Speaker 1: their own human health. Yeah, And I did you know

707
00:37:53,320 --> 00:37:55,960
Speaker 1: on this show, we've we've kind of we've doved into

708
00:37:56,040 --> 00:37:59,840
Speaker 1: I feel like regenerative agriculture, and our audience understands it

709
00:38:00,040 --> 00:38:03,440
Speaker 1: and they know it from a ground level perspective. They

710
00:38:03,560 --> 00:38:07,359
Speaker 1: we talked to some folks from UM Impossible Meats, We've

711
00:38:07,400 --> 00:38:13,359
Speaker 1: talked to the first thank you, UM. We We've we've

712
00:38:13,520 --> 00:38:16,120
Speaker 1: tried to dig into a lot of what's happening here

713
00:38:16,200 --> 00:38:18,840
Speaker 1: on many levels. And I like that and some of

714
00:38:18,920 --> 00:38:21,719
Speaker 1: the sales pitch I've heard from some you know, sustainable

715
00:38:21,760 --> 00:38:24,680
Speaker 1: meat companies or regenerative agriculture is there's this anti meat

716
00:38:24,760 --> 00:38:27,120
Speaker 1: movement out there and that we're fighting. It's like kind

717
00:38:27,120 --> 00:38:29,800
Speaker 1: of a building building it up as we're fighting against

718
00:38:29,840 --> 00:38:32,600
Speaker 1: this anti meat movement. What I and reading about you

719
00:38:32,719 --> 00:38:34,840
Speaker 1: and even listening to talk now, what I like is

720
00:38:34,880 --> 00:38:38,320
Speaker 1: that you're saying, I'm building something self sustainable. I'm building

721
00:38:38,400 --> 00:38:41,800
Speaker 1: something from from beginning to end that could scale. And

722
00:38:41,840 --> 00:38:43,800
Speaker 1: I've read some quotes from you where you talking about

723
00:38:43,880 --> 00:38:47,120
Speaker 1: scale and that's something that we've we've always kind of

724
00:38:47,280 --> 00:38:50,640
Speaker 1: stopped short on this show when we're explaining these things

725
00:38:51,160 --> 00:38:55,439
Speaker 1: as we try to determine. Yeah, it's regendative agriculture is great,

726
00:38:55,480 --> 00:38:58,560
Speaker 1: how do you scale it? Defeat everybody? Because certainly the

727
00:38:58,880 --> 00:39:02,239
Speaker 1: plant based meat company have figured out scale already and

728
00:39:02,360 --> 00:39:04,680
Speaker 1: have a bunch of you know, Silicon Valley tech dollars

729
00:39:04,760 --> 00:39:07,160
Speaker 1: pouring into their companies. Um, So I think one of

730
00:39:07,200 --> 00:39:09,440
Speaker 1: the more important things we can talk about here is scale,

731
00:39:09,719 --> 00:39:12,000
Speaker 1: Like what you know, how do you take what you

732
00:39:12,120 --> 00:39:14,680
Speaker 1: have in scale it? So it really does have an

733
00:39:14,719 --> 00:39:18,120
Speaker 1: even larger impact than what you already are having. Absolutely,

734
00:39:18,160 --> 00:39:21,279
Speaker 1: And first I wanted to address one assumption in in

735
00:39:21,600 --> 00:39:25,719
Speaker 1: how you just describe the alternative meat movement. You know,

736
00:39:26,160 --> 00:39:28,120
Speaker 1: they have figured out scale, but we still see a

737
00:39:28,239 --> 00:39:32,040
Speaker 1: massive negative gross margin in those products, to be clear.

738
00:39:32,440 --> 00:39:33,759
Speaker 1: So I mean you can look at it in their

739
00:39:33,840 --> 00:39:38,000
Speaker 1: SEC filings, right they're there. It's hypothetical that when they

740
00:39:38,040 --> 00:39:40,840
Speaker 1: get to a massive amount. But right now, every you know,

741
00:39:40,920 --> 00:39:43,080
Speaker 1: one of those burgers that you buy, you're getting a

742
00:39:43,200 --> 00:39:47,279
Speaker 1: check from somebody in mental park. Okay, Um, so you're

743
00:39:47,400 --> 00:39:50,840
Speaker 1: like your your two dollar burgers an eighteen dollar food costs,

744
00:39:51,239 --> 00:39:55,400
Speaker 1: so that it's not clear that that is that there's

745
00:39:55,400 --> 00:39:58,200
Speaker 1: also a lot of externalized costs in there, obviously, but

746
00:39:58,440 --> 00:40:00,880
Speaker 1: actually I'm a pure dollars based citys. It also doesn't

747
00:40:00,920 --> 00:40:03,480
Speaker 1: make sense right now, mat who knows once they take

748
00:40:03,520 --> 00:40:07,000
Speaker 1: over China, Um that that might be different. Right there.

749
00:40:07,280 --> 00:40:09,000
Speaker 1: There's a lot of doors that apparently open when you

750
00:40:09,040 --> 00:40:13,760
Speaker 1: get to really massive volumes, right um. So our operation,

751
00:40:14,000 --> 00:40:16,320
Speaker 1: let me just speak to the tactics of how I'm scaling.

752
00:40:16,800 --> 00:40:20,000
Speaker 1: We currently have three thousand beef, about two thousand pigs,

753
00:40:20,760 --> 00:40:23,560
Speaker 1: just over a thousand lamb, and we produce sixty thousand

754
00:40:23,680 --> 00:40:26,280
Speaker 1: chickens a year. We also produced turkey, geese and ducks

755
00:40:26,320 --> 00:40:30,800
Speaker 1: and smaller volumes. That's a small operation in America. Okay,

756
00:40:31,320 --> 00:40:33,800
Speaker 1: but it's a headache. Okay, it's a lot. And the

757
00:40:33,840 --> 00:40:36,360
Speaker 1: reason it's a lot is that, you know, our beef,

758
00:40:36,920 --> 00:40:41,040
Speaker 1: they're on somewhere between six and fifteen different pastures during

759
00:40:41,040 --> 00:40:44,640
Speaker 1: the course of their life. They're moving from pasture to pasture. Um.

760
00:40:44,840 --> 00:40:47,200
Speaker 1: There there needs to be a guy who isn't just

761
00:40:47,880 --> 00:40:50,360
Speaker 1: you know, showing up and dumping a bag of feed

762
00:40:50,400 --> 00:40:55,160
Speaker 1: into a bucket, who's actually managing a process and and

763
00:40:55,360 --> 00:40:58,200
Speaker 1: understanding and paying attention to nutrients and to sugar levels

764
00:40:58,280 --> 00:41:02,040
Speaker 1: in grass. Right, there's a level all of of engagement

765
00:41:02,320 --> 00:41:05,800
Speaker 1: and intellectual kind of responsiveness in that work. It's a

766
00:41:05,920 --> 00:41:08,239
Speaker 1: it's a more costly type of work, and it's a

767
00:41:08,280 --> 00:41:10,480
Speaker 1: more costly way of raising animals for a lot of

768
00:41:10,520 --> 00:41:14,680
Speaker 1: different reasons. Um So that that process right is going

769
00:41:14,719 --> 00:41:17,000
Speaker 1: to be much more expensive, but it's also more complicated

770
00:41:17,040 --> 00:41:19,480
Speaker 1: to manage from a human perspective and a knowledge perspective.

771
00:41:19,880 --> 00:41:23,640
Speaker 1: So my goal isn't to, um, let's say do that

772
00:41:24,080 --> 00:41:27,359
Speaker 1: times three hundred, because already at the scale that we're

773
00:41:27,360 --> 00:41:30,759
Speaker 1: at from an operational management complexity situation, it's it's a lot.

774
00:41:30,960 --> 00:41:33,439
Speaker 1: And it also doesn't make sense to me to say, Okay,

775
00:41:33,480 --> 00:41:36,319
Speaker 1: we're gonna become like a million acre regenerative farm. Right,

776
00:41:36,560 --> 00:41:39,839
Speaker 1: that doesn't really align with the kind of like human touch.

777
00:41:39,920 --> 00:41:41,520
Speaker 1: I mean you think about it and things like cheese.

778
00:41:41,640 --> 00:41:43,319
Speaker 1: You know, you have artis and small scale the areas

779
00:41:43,320 --> 00:41:45,000
Speaker 1: where they do things sort of low and slow the

780
00:41:45,080 --> 00:41:46,959
Speaker 1: right way, and when you get bigger, there's a human

781
00:41:47,160 --> 00:41:49,200
Speaker 1: error factor that comes in place, and so over various

782
00:41:49,320 --> 00:41:54,320
Speaker 1: like safety and um complexity reasons, the processes tend to

783
00:41:54,360 --> 00:41:57,200
Speaker 1: get less artisanal. Right, that happens again and again. And

784
00:41:57,280 --> 00:41:59,920
Speaker 1: you look at the great artisan cheeses that scale used

785
00:41:59,920 --> 00:42:01,960
Speaker 1: to cheesemaker. So I have a lot of like cheese

786
00:42:02,320 --> 00:42:06,920
Speaker 1: kind of relevant information that I realized. But like the

787
00:42:07,320 --> 00:42:09,839
Speaker 1: you know, like a parmesan, right, is an incredible brand,

788
00:42:09,960 --> 00:42:13,480
Speaker 1: incredibly consistent product. But it's literally thousands of small producers

789
00:42:13,760 --> 00:42:16,760
Speaker 1: right there isn't like Mr Parmigiano over there in Italy

790
00:42:16,840 --> 00:42:19,280
Speaker 1: making all that stuff. It's a collective of small producers.

791
00:42:19,320 --> 00:42:21,960
Speaker 1: And the reason they scale that way is because you

792
00:42:22,040 --> 00:42:24,839
Speaker 1: can retain the artisanality of it because there's there's been

793
00:42:24,880 --> 00:42:26,600
Speaker 1: you know, the you know the phrase of like management

794
00:42:26,640 --> 00:42:29,719
Speaker 1: by walking around, right, there's a lot of management by

795
00:42:29,719 --> 00:42:33,759
Speaker 1: walking around in regenerative egg. Um. So our plan is

796
00:42:33,840 --> 00:42:38,160
Speaker 1: to verady begun this this year to scale by actually, um,

797
00:42:39,200 --> 00:42:46,160
Speaker 1: you know, building partner relationships with local farms and using

798
00:42:46,280 --> 00:42:50,600
Speaker 1: our regenerative practices to coach them down their regenerative path. Right,

799
00:42:50,640 --> 00:42:52,520
Speaker 1: some of these guys are already pretty far there, right.

800
00:42:52,920 --> 00:42:55,120
Speaker 1: And then we are processing the animals in our own

801
00:42:55,200 --> 00:42:58,359
Speaker 1: usc facilities. We keep that trace ability, and then we're

802
00:42:58,640 --> 00:43:02,160
Speaker 1: as we scale, will be linking the end product to

803
00:43:02,239 --> 00:43:06,000
Speaker 1: the origin farm, the Origin partner farm via UPC codes

804
00:43:06,040 --> 00:43:10,080
Speaker 1: on any retail products. That's the future plan. Okay. Right

805
00:43:10,120 --> 00:43:13,520
Speaker 1: now of my needs are net by our own farm,

806
00:43:13,600 --> 00:43:15,400
Speaker 1: and God bless it will be a great problem to

807
00:43:15,480 --> 00:43:18,440
Speaker 1: have when we start to outstrip that farm's potential. But

808
00:43:18,640 --> 00:43:22,040
Speaker 1: our director of our supply chain has been working. We

809
00:43:22,160 --> 00:43:26,160
Speaker 1: now have relationships with nine smaller regenerative operations in northern

810
00:43:26,200 --> 00:43:28,800
Speaker 1: California in beef, and these guys are looking for a

811
00:43:28,880 --> 00:43:33,400
Speaker 1: way out. You know, these guys are not finding remunerative

812
00:43:33,440 --> 00:43:36,840
Speaker 1: market for their incremental spend like they to do regenerative.

813
00:43:36,920 --> 00:43:38,640
Speaker 1: You spend a lot more, but you're not able to

814
00:43:38,719 --> 00:43:40,120
Speaker 1: capture that. What are you gonna do? Get into the

815
00:43:40,680 --> 00:43:43,560
Speaker 1: pick up every Saturday and drive to San Francisco and

816
00:43:43,680 --> 00:43:45,800
Speaker 1: sell me at the farmer's market. That's kind of the

817
00:43:45,880 --> 00:43:47,640
Speaker 1: only way you can claim a price point like what

818
00:43:47,760 --> 00:43:50,960
Speaker 1: we're able to claim. So we're able to effectively kind

819
00:43:51,000 --> 00:43:54,040
Speaker 1: of reduce their marketing load as well, which is something

820
00:43:54,120 --> 00:43:57,080
Speaker 1: that's typically a welcome step. Yeah, I mean, this is

821
00:43:57,200 --> 00:44:00,480
Speaker 1: a It sounds to me like an and when the

822
00:44:00,560 --> 00:44:02,800
Speaker 1: reason why I was excited to talk to you is

823
00:44:02,840 --> 00:44:04,840
Speaker 1: like this sounds to me like I don't want to

824
00:44:04,880 --> 00:44:08,359
Speaker 1: call it the holy Grail, but maybe um, because when

825
00:44:08,400 --> 00:44:11,160
Speaker 1: you say on the website meat you can trust, there

826
00:44:11,280 --> 00:44:13,680
Speaker 1: is always a hole in that game there, you know,

827
00:44:13,800 --> 00:44:16,920
Speaker 1: And most examples I've seen, um, there's always kind of

828
00:44:17,000 --> 00:44:20,800
Speaker 1: a hole in how do you get enough meat to market?

829
00:44:21,120 --> 00:44:22,799
Speaker 1: How do you get it to a price point where

830
00:44:22,840 --> 00:44:25,040
Speaker 1: people can stomach it? And then how do you make

831
00:44:25,080 --> 00:44:27,640
Speaker 1: sure you can take that model and grow it when

832
00:44:27,719 --> 00:44:30,279
Speaker 1: there's nothing really and you can correct me if I'm

833
00:44:30,320 --> 00:44:33,640
Speaker 1: wrong here. As much as plant based meat might have

834
00:44:33,760 --> 00:44:37,960
Speaker 1: proprietary technology, there isn't necessarily anything you're doing that's that's

835
00:44:38,000 --> 00:44:42,160
Speaker 1: proprietary and can be can be you know, protected from

836
00:44:42,200 --> 00:44:46,640
Speaker 1: intellect intellectual property wise. Um. And so it just feels

837
00:44:46,640 --> 00:44:48,600
Speaker 1: like if you're able to box all this in and

838
00:44:48,640 --> 00:44:52,160
Speaker 1: say I'm doing everything from A to z um, it

839
00:44:52,280 --> 00:44:55,960
Speaker 1: can scale. Yeah, and it's gonna scale through a like

840
00:44:56,080 --> 00:44:58,239
Speaker 1: a you know, tapestry, right, It's going to be a

841
00:44:58,400 --> 00:45:01,600
Speaker 1: wide range. I for me personally been like in terms

842
00:45:01,640 --> 00:45:04,200
Speaker 1: of the it's you know, everyone's got like there it's

843
00:45:04,280 --> 00:45:06,800
Speaker 1: just scratch in their life in terms of achievement goals

844
00:45:06,880 --> 00:45:09,920
Speaker 1: and and the idea of like building just a massive

845
00:45:09,960 --> 00:45:12,040
Speaker 1: business that just is us and getting bigger and bigger

846
00:45:12,080 --> 00:45:13,640
Speaker 1: and more cows and more farms and more cows and

847
00:45:13,680 --> 00:45:17,239
Speaker 1: more firms. Like, that's not that interesting to me. The

848
00:45:17,360 --> 00:45:21,120
Speaker 1: idea of, like, of providing a viable way for many

849
00:45:21,239 --> 00:45:24,000
Speaker 1: many small heart of firms to pivot to the best

850
00:45:24,040 --> 00:45:30,279
Speaker 1: way of doing things is super powerful, Right. That's really exciting, um,

851
00:45:30,440 --> 00:45:32,279
Speaker 1: And that's you know, that's kind of like the I

852
00:45:32,360 --> 00:45:34,719
Speaker 1: think that's the right direction, right. It's like because there's

853
00:45:34,760 --> 00:45:37,440
Speaker 1: also a lot of you know, the other side of

854
00:45:37,480 --> 00:45:39,720
Speaker 1: the coin with the ag system as it is today

855
00:45:40,200 --> 00:45:43,719
Speaker 1: is the farmers themselves are not being served, right, So

856
00:45:43,920 --> 00:45:47,080
Speaker 1: there's a there's a the sense that like or people

857
00:45:47,120 --> 00:45:50,319
Speaker 1: sort of imagine that like corn bell Iowa producers think

858
00:45:50,440 --> 00:45:53,239
Speaker 1: Monsanto and GMOs are great. Well, guess what, they're making

859
00:45:53,320 --> 00:45:55,640
Speaker 1: less money than they did fifteen years ago. They're in

860
00:45:56,120 --> 00:46:00,680
Speaker 1: much much more debt and they were if fifteen years ago.

861
00:46:00,920 --> 00:46:03,120
Speaker 1: They don't have any control over what they do. And

862
00:46:03,440 --> 00:46:05,200
Speaker 1: guess what, you don't become a farmer because you like

863
00:46:05,239 --> 00:46:07,960
Speaker 1: to be told what to do, right, you know. So

864
00:46:08,360 --> 00:46:10,560
Speaker 1: there's a there's a real shift, like I think in

865
00:46:10,640 --> 00:46:14,759
Speaker 1: the in the perception of what these businesses are doing

866
00:46:14,840 --> 00:46:18,040
Speaker 1: that acribusinesses are doing if they're in support or against

867
00:46:18,640 --> 00:46:22,480
Speaker 1: family farms. So you know, we've lost like n farmers

868
00:46:22,520 --> 00:46:24,279
Speaker 1: in the past couple of decades, right, this is there's

869
00:46:24,280 --> 00:46:27,000
Speaker 1: a massive consolidation and people are just leaving the industry.

870
00:46:27,400 --> 00:46:29,759
Speaker 1: So there's also it's not like this is a this

871
00:46:29,920 --> 00:46:31,080
Speaker 1: is a Oh, it's going to be a bunch of

872
00:46:31,160 --> 00:46:33,480
Speaker 1: hipsters who you know by twenty acres. It's like, no,

873
00:46:33,560 --> 00:46:36,080
Speaker 1: we're actually talking to when when I say our partner firms,

874
00:46:36,320 --> 00:46:40,560
Speaker 1: these are like multi generational really, you know, fantastic operators

875
00:46:40,600 --> 00:46:43,480
Speaker 1: here in California, fifth and sixth generation cattle ranchers that

876
00:46:43,520 --> 00:46:46,200
Speaker 1: are like yo, you know, stop this train and want

877
00:46:46,239 --> 00:46:52,719
Speaker 1: to get off. We're talking about this in another sense.

878
00:46:53,200 --> 00:46:57,520
Speaker 1: A couple episodes ago about generational land, UM, how do

879
00:46:57,600 --> 00:47:02,200
Speaker 1: you maintain generational land those stories ultimately the animals and

880
00:47:02,440 --> 00:47:06,239
Speaker 1: the agriculture that's there without having them be beholden, as

881
00:47:06,280 --> 00:47:11,200
Speaker 1: you said, to industry and to to exactly um, all

882
00:47:11,239 --> 00:47:14,600
Speaker 1: the problems that are happening within that industry. So it's

883
00:47:14,640 --> 00:47:17,520
Speaker 1: good to hear. Have you when you think about UM,

884
00:47:17,800 --> 00:47:20,319
Speaker 1: I read a quote where you were talking about alternative food.

885
00:47:20,360 --> 00:47:23,080
Speaker 1: Do you think about your meat as alternative food or

886
00:47:23,160 --> 00:47:26,359
Speaker 1: the approach that makes it alternative? What what's what about

887
00:47:26,400 --> 00:47:29,400
Speaker 1: bell Campo is is alternative? You know, I know we

888
00:47:29,480 --> 00:47:32,880
Speaker 1: got some basic high and interestion food in history. I mean,

889
00:47:33,000 --> 00:47:35,800
Speaker 1: we're basic in terms of what we do. Um, but

890
00:47:35,960 --> 00:47:38,880
Speaker 1: they what's alternative about it is a style of production.

891
00:47:39,680 --> 00:47:42,200
Speaker 1: You know, it takes our operation five times as long

892
00:47:42,280 --> 00:47:46,040
Speaker 1: to raise a chicken as it does in conventional industry. Um.

893
00:47:46,400 --> 00:47:49,360
Speaker 1: So that's like and I also think Ben, it's like

894
00:47:49,760 --> 00:47:55,560
Speaker 1: we're kind of like willfully anti efficiency. That's why we're alternative,

895
00:47:55,800 --> 00:47:58,759
Speaker 1: right And and it's like willfully anti efficiency in the

896
00:47:58,880 --> 00:48:03,400
Speaker 1: interests of wellness, you know, and health of people plant

897
00:48:03,440 --> 00:48:06,080
Speaker 1: animals right there. I mean it's like it's a but

898
00:48:06,239 --> 00:48:09,360
Speaker 1: to do that. It's like, you know, we've in the

899
00:48:09,440 --> 00:48:19,200
Speaker 1: meat supply system. American consumers were I think don't realize

900
00:48:19,520 --> 00:48:22,360
Speaker 1: how much they gave up. You know. It's like, do

901
00:48:22,440 --> 00:48:25,040
Speaker 1: you want cheap meat? Hell? Yeah? And then it's like,

902
00:48:25,600 --> 00:48:28,320
Speaker 1: oh wait a second, do you want like this stuff

903
00:48:28,360 --> 00:48:30,000
Speaker 1: that tastes so bad You've got to soak it in

904
00:48:30,080 --> 00:48:33,759
Speaker 1: a million sauces and smoke it. And by the way,

905
00:48:33,800 --> 00:48:36,160
Speaker 1: you have to overcook it consistently. Because it's so likely

906
00:48:36,239 --> 00:48:38,840
Speaker 1: to have pathogens. And oh, by the way, there's like

907
00:48:38,960 --> 00:48:41,520
Speaker 1: lots of different types of toxicity that's implicit in that meat.

908
00:48:42,000 --> 00:48:43,960
Speaker 1: And by the way, there's a lot of you know,

909
00:48:44,280 --> 00:48:47,279
Speaker 1: other issues that are um you know, like there's a

910
00:48:47,360 --> 00:48:50,320
Speaker 1: whole range of decisions that were made and that have

911
00:48:50,560 --> 00:48:54,560
Speaker 1: really significant consequences that we didn't sign up for, right,

912
00:48:54,640 --> 00:48:57,720
Speaker 1: but that by paying that price and getting those savings,

913
00:48:57,800 --> 00:49:01,840
Speaker 1: we did sign up for. So you know, the question

914
00:49:01,920 --> 00:49:04,080
Speaker 1: for me is like when we when we look at

915
00:49:04,160 --> 00:49:08,000
Speaker 1: that three dollar a pound she impressed, we don't understand

916
00:49:08,360 --> 00:49:12,040
Speaker 1: what we did to get that, you know. And then

917
00:49:12,080 --> 00:49:14,640
Speaker 1: when we actually say people taste my chicken and they're like, oh,

918
00:49:14,719 --> 00:49:16,880
Speaker 1: it's what how does this taste so good? Or like

919
00:49:16,920 --> 00:49:19,120
Speaker 1: I don't have to use all this karayaki sauce or

920
00:49:19,120 --> 00:49:21,680
Speaker 1: whatever I'm doing, and and why is it like not chewy?

921
00:49:21,880 --> 00:49:24,279
Speaker 1: And and I am, well, now, does it feel so

922
00:49:24,400 --> 00:49:26,719
Speaker 1: bad to pay you know, three times the price? No,

923
00:49:27,160 --> 00:49:29,280
Speaker 1: It's totally worth it because this is a great experience

924
00:49:29,320 --> 00:49:31,920
Speaker 1: and I'm also more full. You know. These are all

925
00:49:32,040 --> 00:49:33,759
Speaker 1: things that I hear from people and that I sell

926
00:49:33,920 --> 00:49:37,240
Speaker 1: myself experience, you know, And but we built the system

927
00:49:37,280 --> 00:49:41,120
Speaker 1: where it's all about price and then there's a huge

928
00:49:41,120 --> 00:49:43,840
Speaker 1: amount of other costs and we don't really understand what

929
00:49:43,920 --> 00:49:46,960
Speaker 1: we've given up in exchange for those savings. Yeah, I

930
00:49:47,480 --> 00:49:49,359
Speaker 1: like to say, you know, the taste of me too,

931
00:49:49,480 --> 00:49:52,640
Speaker 1: because um, maybe we can get to gaming this at

932
00:49:52,680 --> 00:49:55,520
Speaker 1: some level. But my wife is a good example of something.

933
00:49:55,640 --> 00:49:58,560
Speaker 1: She's she doesn't hunt. And we first got together about

934
00:49:58,600 --> 00:50:03,160
Speaker 1: eleven twelve years ago. All meat, all wild game was venison.

935
00:50:03,600 --> 00:50:06,040
Speaker 1: It's like venison is a gaming or venison is this?

936
00:50:06,280 --> 00:50:08,919
Speaker 1: Everything was venison, no matter what it was. And over

937
00:50:08,960 --> 00:50:11,399
Speaker 1: the years she's pretty much just eaten what I've killed

938
00:50:11,440 --> 00:50:15,600
Speaker 1: in terms of of red meat, and she has become

939
00:50:15,920 --> 00:50:19,600
Speaker 1: a connoisseur of what what cut is? This? Is this

940
00:50:19,719 --> 00:50:21,879
Speaker 1: an eye of round? Well off of what a meal

941
00:50:22,000 --> 00:50:24,560
Speaker 1: dear off and elk off of you know, are we

942
00:50:24,680 --> 00:50:27,719
Speaker 1: talking moose here? Because elk is my favorite. She's become

943
00:50:27,760 --> 00:50:30,520
Speaker 1: a connoisseur of quality meats. And if I screw up

944
00:50:30,560 --> 00:50:34,000
Speaker 1: the butchering, she lets me know about it. She absolutely

945
00:50:34,120 --> 00:50:35,880
Speaker 1: lets me know about it, you know, so if I

946
00:50:35,880 --> 00:50:38,279
Speaker 1: if I if it has freezer burn or whatever. She's

947
00:50:38,320 --> 00:50:41,279
Speaker 1: become a critic and so well Ben made our meat

948
00:50:41,320 --> 00:50:43,880
Speaker 1: into too, you know, like we've made our meat everyone's

949
00:50:43,880 --> 00:50:46,200
Speaker 1: like so into I think you know a lot of

950
00:50:46,239 --> 00:50:48,920
Speaker 1: the inflammation that we have in the u s. Everybody's

951
00:50:49,120 --> 00:50:52,160
Speaker 1: pounding toms after almost every meal. Right, you realize that

952
00:50:52,239 --> 00:50:55,680
Speaker 1: most people are, you know, having to suppress this really

953
00:50:55,760 --> 00:51:00,399
Speaker 1: strong like autoimmune revulsion against our food. Why because we're

954
00:51:00,400 --> 00:51:03,600
Speaker 1: pounding it with like a cocktail of canola oil, sugar

955
00:51:03,719 --> 00:51:07,520
Speaker 1: and soy. Well, there's like the ultimate inflammatory trifecta. Why

956
00:51:07,520 --> 00:51:08,959
Speaker 1: do we have to put that on all of our meat?

957
00:51:09,080 --> 00:51:13,440
Speaker 1: Because it tastes like tofu then tastes like anything, you know,

958
00:51:13,560 --> 00:51:15,160
Speaker 1: And that's like, I think what your wife picked up

959
00:51:15,200 --> 00:51:17,520
Speaker 1: on is like when you actually develop when you appreciate

960
00:51:17,600 --> 00:51:22,680
Speaker 1: meat that tastes like meat, all of a sudden, everything's different, right,

961
00:51:22,800 --> 00:51:25,360
Speaker 1: Like all of a sudden your need for this. And

962
00:51:25,520 --> 00:51:28,040
Speaker 1: by the way, you're more in tune with your secondary

963
00:51:28,200 --> 00:51:30,759
Speaker 1: safety characteristics as well. You know, your secondary satiety is

964
00:51:30,800 --> 00:51:34,560
Speaker 1: like your superpowers as a as an animal, right where

965
00:51:34,880 --> 00:51:37,080
Speaker 1: you also eat, you don't you see for calories and fat,

966
00:51:37,160 --> 00:51:39,800
Speaker 1: but you eat for micronutrients. You eat for things that

967
00:51:39,840 --> 00:51:42,200
Speaker 1: are going to heal you. You eat for antioxidants. Right,

968
00:51:42,400 --> 00:51:44,520
Speaker 1: we all have the capability in our bodies to eat

969
00:51:44,560 --> 00:51:46,560
Speaker 1: for those things. There's lots of good research about people

970
00:51:47,120 --> 00:51:50,480
Speaker 1: and animals, you know, not just eating for calories. But

971
00:51:50,760 --> 00:51:52,920
Speaker 1: part of the reason we like overeat doritos, right, is

972
00:51:52,960 --> 00:51:56,040
Speaker 1: that it's a nutritional waste land, right. So when we

973
00:51:56,239 --> 00:51:59,200
Speaker 1: start to like re educate our palates to pay attention

974
00:51:59,239 --> 00:52:04,280
Speaker 1: to flavor, we actually activate the superpower of secondary station characterists.

975
00:52:04,320 --> 00:52:06,880
Speaker 1: We're eating for more than just calories and fat. And

976
00:52:06,960 --> 00:52:08,359
Speaker 1: I think that's also a big part of the kind

977
00:52:08,360 --> 00:52:11,320
Speaker 1: of like obesity and over eating puzzle, right, is getting

978
00:52:11,360 --> 00:52:13,560
Speaker 1: people back to eating something that's real flavor. You know,

979
00:52:13,719 --> 00:52:15,439
Speaker 1: the same thing as like with vegetables. If you're eating

980
00:52:15,760 --> 00:52:17,680
Speaker 1: hothouse tomatoes, you sure as hell are going to want

981
00:52:17,719 --> 00:52:20,080
Speaker 1: some ranch dressing on it, you know. But if you

982
00:52:20,160 --> 00:52:22,000
Speaker 1: get something you grow to me in your garden the summer,

983
00:52:22,080 --> 00:52:24,000
Speaker 1: you're just gonna want some salt and you're you're stoked.

984
00:52:24,040 --> 00:52:27,600
Speaker 1: It's good, you know, absolutely, yeah, absolutely that that comes

985
00:52:27,640 --> 00:52:30,040
Speaker 1: down to like a proximity to to to what you're

986
00:52:30,080 --> 00:52:32,640
Speaker 1: eating and an understanding of what it is, um where

987
00:52:32,680 --> 00:52:34,319
Speaker 1: it came from and all those things. Do you guys,

988
00:52:35,000 --> 00:52:37,320
Speaker 1: you guys think about supply chain. Obviously in your business,

989
00:52:37,400 --> 00:52:40,400
Speaker 1: that's obvious. Do you think about how you know how

990
00:52:40,960 --> 00:52:44,440
Speaker 1: the end consumer? Obviously we talked about how it tastes,

991
00:52:44,960 --> 00:52:49,560
Speaker 1: but what about um proximity? What about story? People want

992
00:52:49,600 --> 00:52:52,240
Speaker 1: to know where the food comes from, but they also can't.

993
00:52:52,440 --> 00:52:54,799
Speaker 1: They're also not going to come to your regenerative farm

994
00:52:55,080 --> 00:52:57,279
Speaker 1: and slaughter cow with you. So how do you guys

995
00:52:57,320 --> 00:53:01,120
Speaker 1: think about proximity in terms of the end consumer and

996
00:53:01,200 --> 00:53:04,680
Speaker 1: how they feel about their connection to the food. I

997
00:53:05,160 --> 00:53:10,960
Speaker 1: am radically transparent in our branding and our messaging. I

998
00:53:11,080 --> 00:53:15,880
Speaker 1: really drive that part of the business. UM and my um,

999
00:53:16,239 --> 00:53:18,400
Speaker 1: you know I I it's it's in everything that I do.

1000
00:53:18,560 --> 00:53:21,080
Speaker 1: I mean I was actually shut down from my PR firm.

1001
00:53:21,280 --> 00:53:23,880
Speaker 1: I tried to put a live stream into our slaughterhouse

1002
00:53:24,280 --> 00:53:26,080
Speaker 1: when the you know, the ag gag law that happened

1003
00:53:26,080 --> 00:53:27,800
Speaker 1: where they could film it. Like I was like, you

1004
00:53:27,880 --> 00:53:30,000
Speaker 1: know what, bite me? And I was like doing it

1005
00:53:30,080 --> 00:53:31,960
Speaker 1: in my PR firms like you gotta no, no, no,

1006
00:53:32,480 --> 00:53:34,680
Speaker 1: But it's like I actually think now I could do it.

1007
00:53:34,840 --> 00:53:36,399
Speaker 1: You know, that was like in the very early days.

1008
00:53:36,560 --> 00:53:39,480
Speaker 1: I think that happened in or fourteen, But like my, my,

1009
00:53:39,800 --> 00:53:42,520
Speaker 1: you know, I I do I tell my daughter, you know,

1010
00:53:42,680 --> 00:53:45,919
Speaker 1: we we kill animals for a living. Um. I would

1011
00:53:45,960 --> 00:53:48,160
Speaker 1: tell my son too, but he's he's really small. But

1012
00:53:48,239 --> 00:53:50,040
Speaker 1: you know, like we I try to be very clear

1013
00:53:50,120 --> 00:53:53,040
Speaker 1: about the fact that we raise animals to process them

1014
00:53:53,080 --> 00:53:55,840
Speaker 1: and we sell their meat. And it's like every aspect

1015
00:53:55,880 --> 00:53:58,640
Speaker 1: of what we do is about that, right. So the

1016
00:53:59,000 --> 00:54:04,600
Speaker 1: you know, the people I remember, you know, hearing somebody

1017
00:54:04,719 --> 00:54:09,000
Speaker 1: telling me about how squeamish it made them to see

1018
00:54:09,239 --> 00:54:11,400
Speaker 1: food that look like an animal like see like let's say,

1019
00:54:11,400 --> 00:54:13,640
Speaker 1: a chicken foot in a case or a pig's head

1020
00:54:13,680 --> 00:54:16,560
Speaker 1: in a in a butcher case, right, And my response

1021
00:54:16,680 --> 00:54:19,719
Speaker 1: was like, you should be more terrified of square ham,

1022
00:54:22,320 --> 00:54:24,880
Speaker 1: right in terms of your safety and like really being rational,

1023
00:54:25,640 --> 00:54:29,440
Speaker 1: A pig's head shouldn't discuss anybody. A square piece of

1024
00:54:29,560 --> 00:54:33,200
Speaker 1: meat should freak you out right, or meat that doesn't

1025
00:54:33,200 --> 00:54:35,560
Speaker 1: smell like meat, or a chicken nugget that's shaped like

1026
00:54:35,600 --> 00:54:40,840
Speaker 1: a dinosaur run don't walk right, And instead we've gone

1027
00:54:41,360 --> 00:54:44,200
Speaker 1: we've got it, kind of asked backwards where we are now, saying,

1028
00:54:44,360 --> 00:54:47,160
Speaker 1: oh wait, it's the meat is perfectly square. You know,

1029
00:54:47,320 --> 00:54:50,400
Speaker 1: the ham smells kind of like um, you know, like

1030
00:54:50,480 --> 00:54:53,840
Speaker 1: salty water. Um. The chicken is pale, and it looks

1031
00:54:53,880 --> 00:54:55,840
Speaker 1: like it might be you know, like a piece of tofood.

1032
00:54:56,239 --> 00:54:58,439
Speaker 1: This is great. We feel confident about this, but that's

1033
00:54:58,480 --> 00:55:02,000
Speaker 1: actually just fall the agro industrial script of what people

1034
00:55:02,040 --> 00:55:03,360
Speaker 1: want us to do and how they want us to

1035
00:55:03,360 --> 00:55:08,759
Speaker 1: behave around it. Right, So I think getting people to embrace, uh,

1036
00:55:09,160 --> 00:55:13,320
Speaker 1: embrace the fact that these are animals and embrace it.

1037
00:55:13,400 --> 00:55:17,160
Speaker 1: Now I've also learned I did. I did stupid things

1038
00:55:17,200 --> 00:55:18,839
Speaker 1: when I started this company. I used to have pigs

1039
00:55:18,920 --> 00:55:20,879
Speaker 1: head in cases and then you know, we get picked

1040
00:55:20,960 --> 00:55:22,960
Speaker 1: up by Peter and people get grossed out. We used

1041
00:55:22,960 --> 00:55:25,920
Speaker 1: to do more kind of playful stuff about that, but

1042
00:55:26,120 --> 00:55:28,720
Speaker 1: and I still have it now. I've got Instagram and Facebook.

1043
00:55:28,719 --> 00:55:32,080
Speaker 1: When we do butchering videos and stuff like it gets

1044
00:55:32,160 --> 00:55:35,400
Speaker 1: blocked or sensitive content, we get flagged and stuff. But

1045
00:55:35,640 --> 00:55:39,279
Speaker 1: it's like it's important to understand that integrity. It's radical transparency.

1046
00:55:39,560 --> 00:55:43,240
Speaker 1: The meat industry has convinced us, the mainstreamat industrctive incests

1047
00:55:43,360 --> 00:55:45,719
Speaker 1: like trust us, we got this, and I say, you

1048
00:55:45,840 --> 00:55:49,200
Speaker 1: totally don't have this. You're making people sick, you're putting

1049
00:55:49,200 --> 00:55:52,400
Speaker 1: animals in torture, and you're producing food the tastes like garbage,

1050
00:55:52,800 --> 00:55:55,719
Speaker 1: so you know, just you can just step aside, like

1051
00:55:55,840 --> 00:55:57,680
Speaker 1: if you want something different, you're gonna need to learn

1052
00:55:57,719 --> 00:56:00,160
Speaker 1: the whole process or not. You know, you can't. But

1053
00:56:00,200 --> 00:56:02,400
Speaker 1: i'f you're interested, We've got it all there for you.

1054
00:56:02,880 --> 00:56:06,560
Speaker 1: It's like there's an appetite for it. It's less cute

1055
00:56:06,719 --> 00:56:10,120
Speaker 1: than seeing somebody like, you know, snip Brussels sprouts in

1056
00:56:10,360 --> 00:56:12,840
Speaker 1: Santa Cruz, California or whatever, like the veggie version of

1057
00:56:12,920 --> 00:56:15,280
Speaker 1: this that happened in the seventies. But it's an education

1058
00:56:15,320 --> 00:56:18,440
Speaker 1: that needs to happen, you know. Yeah, I love that, man.

1059
00:56:18,480 --> 00:56:21,560
Speaker 1: I love it on a lot of levels. Because there's

1060
00:56:22,080 --> 00:56:24,040
Speaker 1: when you're talking about you should be scared of a

1061
00:56:24,160 --> 00:56:26,160
Speaker 1: square piece of meat. You know, I've butchered a lot

1062
00:56:26,200 --> 00:56:29,040
Speaker 1: of animals in my time. I'm never unless I made it.

1063
00:56:29,120 --> 00:56:31,640
Speaker 1: So I've never seen a muscle on an animal that

1064
00:56:31,840 --> 00:56:34,120
Speaker 1: came looking like a piece of spam. That's never Oh

1065
00:56:34,200 --> 00:56:36,840
Speaker 1: my goodness, yeah, exactly. And you see people saying like,

1066
00:56:37,200 --> 00:56:39,880
Speaker 1: I'm you're gonna, you know, pound a package of you know,

1067
00:56:40,000 --> 00:56:42,360
Speaker 1: square turkey slices and swhere, and it's like this is

1068
00:56:42,600 --> 00:56:45,080
Speaker 1: and that feels clean and safe, you know, and and

1069
00:56:45,719 --> 00:56:48,520
Speaker 1: but That's the thing is when I don't condemn that,

1070
00:56:48,680 --> 00:56:52,200
Speaker 1: you know, I actually I was you know, when I

1071
00:56:52,280 --> 00:56:55,040
Speaker 1: talked to our customers or influencers, are people like I

1072
00:56:55,120 --> 00:56:56,560
Speaker 1: get the sense, you know, people say to me, oh,

1073
00:56:56,560 --> 00:56:58,640
Speaker 1: I'm so afraid to eat heart, and I'm I like,

1074
00:56:58,719 --> 00:57:01,319
Speaker 1: am I just a woods? And I'm no, you've been

1075
00:57:01,480 --> 00:57:04,240
Speaker 1: you know, billions of dollars have been spent to educate

1076
00:57:04,280 --> 00:57:06,120
Speaker 1: you to be afraid of this. You know, billions of

1077
00:57:06,160 --> 00:57:08,719
Speaker 1: dollars have been spent to educate you did not touch

1078
00:57:08,760 --> 00:57:12,400
Speaker 1: a chicken and to be okay with its smelling weird.

1079
00:57:13,040 --> 00:57:15,120
Speaker 1: You know, like this this has been in public education

1080
00:57:15,239 --> 00:57:18,200
Speaker 1: campaign that's in the industry of an interests of big industry,

1081
00:57:18,200 --> 00:57:19,680
Speaker 1: and they've spent a lot of money to put us

1082
00:57:19,720 --> 00:57:22,960
Speaker 1: in this particular spot. And so here we are now,

1083
00:57:23,120 --> 00:57:25,360
Speaker 1: and and like, let's not beat ourselves up for it,

1084
00:57:25,440 --> 00:57:27,920
Speaker 1: but let's recognize it that it's like it's a you know,

1085
00:57:27,960 --> 00:57:30,560
Speaker 1: it's the same thing as like what happened with Americans

1086
00:57:30,600 --> 00:57:33,440
Speaker 1: deciding that eating a big bowl of hyper process grain

1087
00:57:33,760 --> 00:57:37,000
Speaker 1: at first thing in the morning was a great idea, right,

1088
00:57:37,080 --> 00:57:39,720
Speaker 1: That wasn't folk wisdom? You know, in America we used

1089
00:57:39,720 --> 00:57:42,600
Speaker 1: to eat protein and fat for breakfast. Right, We actually

1090
00:57:42,680 --> 00:57:45,320
Speaker 1: culturally used to fast until like ten or eleven am,

1091
00:57:45,600 --> 00:57:47,240
Speaker 1: and then we would eat something that was probably like

1092
00:57:47,320 --> 00:57:50,880
Speaker 1: fifty fat, right, eggs and bacon cooked in fat, so

1093
00:57:51,360 --> 00:57:54,480
Speaker 1: in animal fat. So to change us from that population

1094
00:57:54,520 --> 00:57:57,680
Speaker 1: in the nineteen thirties to a population about the fifties

1095
00:57:57,840 --> 00:58:01,240
Speaker 1: was was rejecting that food in fave are highly processed,

1096
00:58:01,680 --> 00:58:05,160
Speaker 1: you know, basically carbs and sugars like that. Took a

1097
00:58:05,240 --> 00:58:08,000
Speaker 1: ton of education, and so now we're starting to unwind that, right,

1098
00:58:08,080 --> 00:58:10,120
Speaker 1: But we've seen this cultural shift towards people saying, oh,

1099
00:58:10,120 --> 00:58:13,000
Speaker 1: eggs aren't going to kill me, people bragging about eating

1100
00:58:13,600 --> 00:58:16,320
Speaker 1: bacon again, that kind of thing. But so like keep

1101
00:58:16,360 --> 00:58:18,360
Speaker 1: in mind, we've we've seen this in other industries as well,

1102
00:58:18,440 --> 00:58:21,320
Speaker 1: where certain things that were considered, you know, like for

1103
00:58:21,520 --> 00:58:25,000
Speaker 1: for generations were healthy and felt good. You know, people

1104
00:58:25,040 --> 00:58:27,000
Speaker 1: invested money to get us to think about it in

1105
00:58:27,040 --> 00:58:29,040
Speaker 1: a different light, and it takes you a couple of

1106
00:58:29,040 --> 00:58:32,560
Speaker 1: decades to unwind it and return to some normalcy. Yeah. Yeah,

1107
00:58:32,640 --> 00:58:34,200
Speaker 1: but we we talked about this a lot here in

1108
00:58:34,360 --> 00:58:37,040
Speaker 1: terms of animals that we kill our on our own.

1109
00:58:37,600 --> 00:58:40,480
Speaker 1: That it's it's once you start to understand the transformation

1110
00:58:40,640 --> 00:58:42,920
Speaker 1: process to get it to that thing you're comfortable with.

1111
00:58:43,800 --> 00:58:45,320
Speaker 1: It's it's a bit of a mind fuck. It's a

1112
00:58:45,360 --> 00:58:48,120
Speaker 1: bit of a like you become really connected to the

1113
00:58:48,200 --> 00:58:53,440
Speaker 1: transformation of a dead deer to a vacuum sealed you know,

1114
00:58:53,960 --> 00:58:57,720
Speaker 1: sliced lunch meat um that we create here in my house.

1115
00:58:58,120 --> 00:58:59,640
Speaker 1: You know, we talked about that a lot. We talk

1116
00:58:59,680 --> 00:59:04,720
Speaker 1: about how how even just the the slicing of the

1117
00:59:04,840 --> 00:59:08,080
Speaker 1: lunch meat sometimes is gonna get a little bloody, a

1118
00:59:08,120 --> 00:59:11,520
Speaker 1: little bit messy. But the transformation process of understanding how

1119
00:59:11,960 --> 00:59:15,080
Speaker 1: that vact sealed lunch meat came to be in your

1120
00:59:15,160 --> 00:59:19,360
Speaker 1: fridge is huge. And and how it looked, how dirty,

1121
00:59:19,440 --> 00:59:22,560
Speaker 1: how messy, how how harry in some extension it was

1122
00:59:22,680 --> 00:59:26,600
Speaker 1: or maybe shouldn't have been. But that transformation is huge.

1123
00:59:26,800 --> 00:59:30,000
Speaker 1: And I think if companies like yours can continue to

1124
00:59:30,040 --> 00:59:31,960
Speaker 1: say like, we're gonna show you each step of the

1125
00:59:32,000 --> 00:59:35,040
Speaker 1: transformation as much as we possibly can. I love the

1126
00:59:35,120 --> 00:59:37,040
Speaker 1: idea of live streaming of slaughter House. I mean I

1127
00:59:37,080 --> 00:59:40,400
Speaker 1: don't love it from optics level, but I love it

1128
00:59:40,520 --> 00:59:42,800
Speaker 1: for the because people need to get proximity to this

1129
00:59:42,960 --> 00:59:46,280
Speaker 1: any way that they can. Yeah, I appreciate your vote.

1130
00:59:46,280 --> 00:59:48,120
Speaker 1: I do think my PR firm was correct and telling

1131
00:59:48,160 --> 00:59:55,080
Speaker 1: me probably probably who knows. But I mean, well, well,

1132
00:59:55,640 --> 00:59:58,240
Speaker 1: it's just that question of and I don't think I

1133
00:59:58,320 --> 01:00:01,480
Speaker 1: don't believe that you for me, I'm not a hunter. Um.

1134
01:00:01,560 --> 01:00:03,800
Speaker 1: I love cooking game. I cook a lot of it,

1135
01:00:04,320 --> 01:00:07,040
Speaker 1: um when I can get it. Um. I'm not drawn

1136
01:00:07,080 --> 01:00:09,920
Speaker 1: to hunting, but I love being friends with hunters and

1137
01:00:10,120 --> 01:00:12,800
Speaker 1: helping them make sausages and cook their food. Right. Um,

1138
01:00:12,920 --> 01:00:16,560
Speaker 1: But I I'm not comfortable with killing animals, you know,

1139
01:00:16,600 --> 01:00:17,960
Speaker 1: I don't. I don't think this thing of like, oh,

1140
01:00:18,000 --> 01:00:19,360
Speaker 1: if you're gonna eat meat, you have to be able

1141
01:00:19,400 --> 01:00:22,760
Speaker 1: to kill it. Um that to me, Like I'm a woman,

1142
01:00:22,960 --> 01:00:25,360
Speaker 1: I don't think genetically I have as much of a drive,

1143
01:00:25,440 --> 01:00:27,720
Speaker 1: a killing drive. Right. But like so when I go

1144
01:00:27,800 --> 01:00:29,480
Speaker 1: to I thought I built the damn thing, you know,

1145
01:00:29,680 --> 01:00:32,000
Speaker 1: like I know what I do there when I go

1146
01:00:32,160 --> 01:00:34,240
Speaker 1: on the floor, I still get emotional when I see

1147
01:00:34,240 --> 01:00:36,840
Speaker 1: animals being killed. And I don't feel like the whim

1148
01:00:36,960 --> 01:00:38,440
Speaker 1: saying that. And I don't think I shouldn't eat meat

1149
01:00:38,480 --> 01:00:40,320
Speaker 1: because of that. You know, it's like okay to outsource

1150
01:00:40,360 --> 01:00:42,320
Speaker 1: these things. I think in a traditional society, I wouldn't

1151
01:00:42,360 --> 01:00:44,800
Speaker 1: have been doing that anyways, you know. But it's not

1152
01:00:44,960 --> 01:00:47,240
Speaker 1: like I think, oh God, you gotta like stare the

1153
01:00:47,680 --> 01:00:49,760
Speaker 1: stare at the trauma in the face to be able

1154
01:00:49,800 --> 01:00:51,640
Speaker 1: to deserve to eat it. But I do think you

1155
01:00:51,720 --> 01:00:54,560
Speaker 1: need to understand. And that's like the language I use it, like,

1156
01:00:54,680 --> 01:00:56,720
Speaker 1: we know we we raise and kill animals, like that's

1157
01:00:56,760 --> 01:00:58,800
Speaker 1: what we do, and we do it in a way

1158
01:00:58,840 --> 01:01:01,960
Speaker 1: that's as kim passionate and awesome as possible. But the

1159
01:01:02,080 --> 01:01:04,280
Speaker 1: nitty gritty of it is what it is. And I

1160
01:01:04,360 --> 01:01:06,600
Speaker 1: don't think we need to mass that in in our

1161
01:01:07,200 --> 01:01:10,600
Speaker 1: in our marketing or in our language. Yeah that I

1162
01:01:10,720 --> 01:01:13,880
Speaker 1: love that, because that is that's what's happening to us.

1163
01:01:14,000 --> 01:01:17,600
Speaker 1: Over time. We're being we're being told that the complex

1164
01:01:17,640 --> 01:01:20,240
Speaker 1: emotions that come with killing and eating something don't matter

1165
01:01:20,320 --> 01:01:23,120
Speaker 1: anymore because it's not a it's not an animal anymore.

1166
01:01:23,160 --> 01:01:25,760
Speaker 1: It's a cutlet, or it's a piece of spam. It's

1167
01:01:25,840 --> 01:01:28,240
Speaker 1: no longer an animal. It's something that we've processed and

1168
01:01:28,400 --> 01:01:32,720
Speaker 1: distilled and handed to you neatly, neatly wrapped and looking

1169
01:01:32,760 --> 01:01:36,240
Speaker 1: beautiful and like all those emotions and the complexity of

1170
01:01:36,320 --> 01:01:38,640
Speaker 1: what you just described with your own way of thinking

1171
01:01:38,680 --> 01:01:42,120
Speaker 1: about killing animals. It's important for everybody to to go

1172
01:01:42,280 --> 01:01:44,040
Speaker 1: through but we've been told that we're not supposed to

1173
01:01:44,080 --> 01:01:47,320
Speaker 1: go through it because you know, that would probably lead

1174
01:01:47,360 --> 01:01:50,240
Speaker 1: to less people buying stuff, you know, at the store

1175
01:01:50,320 --> 01:01:52,200
Speaker 1: bought meat, probably what it would lead to. So I

1176
01:01:52,280 --> 01:01:55,440
Speaker 1: feel like there's an industrial complex of that is that

1177
01:01:55,800 --> 01:01:58,680
Speaker 1: has hell been on us not having this conversation one

1178
01:01:58,920 --> 01:02:01,400
Speaker 1: and two, not exploring our own emotions around eating things

1179
01:02:01,480 --> 01:02:03,520
Speaker 1: that we that had to die so we could live.

1180
01:02:04,720 --> 01:02:07,080
Speaker 1: But it's like it's kind of like, you know, I

1181
01:02:08,080 --> 01:02:13,160
Speaker 1: think that a lot of um vegetarians and vegans are

1182
01:02:13,600 --> 01:02:17,000
Speaker 1: motivated by this like oh it's it's it's an awful system.

1183
01:02:17,080 --> 01:02:20,320
Speaker 1: So I'm just gonna, you know, disengage, right, And that's

1184
01:02:20,480 --> 01:02:22,760
Speaker 1: and it's actually kind of understandable. You know, it's like

1185
01:02:22,840 --> 01:02:25,400
Speaker 1: if you if you can't, I mean, it's an industrial

1186
01:02:26,120 --> 01:02:29,600
Speaker 1: like it's an awful system. Animals are raised in torture,

1187
01:02:29,720 --> 01:02:31,920
Speaker 1: they die in torture, and you know that, you know

1188
01:02:32,040 --> 01:02:35,800
Speaker 1: that like something over of meat in America goes into waste,

1189
01:02:37,600 --> 01:02:40,360
Speaker 1: that goes into the waste tream. So it's like, oh,

1190
01:02:40,560 --> 01:02:43,160
Speaker 1: we raise them in torture, we killed them in torture,

1191
01:02:44,320 --> 01:02:46,720
Speaker 1: and then we throw you know, almost half of them away.

1192
01:02:47,840 --> 01:02:52,080
Speaker 1: And so it's a I think a lot of anti

1193
01:02:52,240 --> 01:02:56,840
Speaker 1: meat activism is motivated by people to saying a whole

1194
01:02:56,880 --> 01:03:00,160
Speaker 1: hard reject that system. And I get it, you know,

1195
01:03:00,240 --> 01:03:03,000
Speaker 1: so my option is to say, well, instead of just

1196
01:03:03,120 --> 01:03:04,680
Speaker 1: breaking up with it, you know, why don't you just

1197
01:03:04,760 --> 01:03:08,640
Speaker 1: find something that you can feel better about. Yeah? And

1198
01:03:08,800 --> 01:03:10,960
Speaker 1: also you know, I I each time we have this

1199
01:03:11,080 --> 01:03:14,919
Speaker 1: conversation people right in, people that are part of large

1200
01:03:14,920 --> 01:03:18,760
Speaker 1: scale farms or agri business right in and say we're demonizing,

1201
01:03:19,320 --> 01:03:22,880
Speaker 1: we're using a strawman theory in terms of big egg

1202
01:03:23,000 --> 01:03:26,040
Speaker 1: and big animal EG and factory farming, things like that

1203
01:03:26,200 --> 01:03:28,720
Speaker 1: that there are. There's certainly shades of gray, there's certainly nuance.

1204
01:03:29,040 --> 01:03:32,720
Speaker 1: There's certainly ethics and treatments of animals and large scale

1205
01:03:32,760 --> 01:03:35,760
Speaker 1: pork production and large scale chicken production. Yeah, they're there

1206
01:03:35,800 --> 01:03:37,920
Speaker 1: are groups that are trying to figure this out much

1207
01:03:38,000 --> 01:03:42,720
Speaker 1: like absolutely, Yeah, Yeah, I know, I I hear that,

1208
01:03:43,040 --> 01:03:45,480
Speaker 1: you know, I hear that I and I I think

1209
01:03:45,800 --> 01:03:49,400
Speaker 1: it's almost that the system is so large and entrenched

1210
01:03:49,480 --> 01:03:52,520
Speaker 1: that it can't change fast enough. That's where I'm getting

1211
01:03:52,520 --> 01:03:55,360
Speaker 1: a space to sprint, right. It's not that it's not

1212
01:03:55,480 --> 01:03:59,200
Speaker 1: gonna change. Um, it'll break or it will change right, um,

1213
01:03:59,360 --> 01:04:01,120
Speaker 1: but it's it's not going to be able to pivot

1214
01:04:01,480 --> 01:04:04,760
Speaker 1: hard enough fast enough just because of the size. So

1215
01:04:04,960 --> 01:04:07,280
Speaker 1: that's how disruptors happen, you know, That's what happened. That's

1216
01:04:07,280 --> 01:04:09,520
Speaker 1: where disruption comes from, right, And so I'm I'm being

1217
01:04:09,560 --> 01:04:13,080
Speaker 1: given an opportunity for destruction. Yeah. And as I have

1218
01:04:13,240 --> 01:04:15,640
Speaker 1: explored the plant based meats and looked into that kind

1219
01:04:15,680 --> 01:04:18,000
Speaker 1: of thing and and really talked about it on the show,

1220
01:04:18,120 --> 01:04:20,640
Speaker 1: I feel as though, and I feel like that that's

1221
01:04:20,680 --> 01:04:23,640
Speaker 1: obvious in the way that those folks answer questions and

1222
01:04:24,080 --> 01:04:26,919
Speaker 1: present themselves. There's a good faith and a bad faith

1223
01:04:27,080 --> 01:04:31,920
Speaker 1: way of of producing meat for people to eat, um,

1224
01:04:32,480 --> 01:04:36,480
Speaker 1: and and really fake meat this you know, meat substitutes um.

1225
01:04:37,760 --> 01:04:40,240
Speaker 1: It seems like you're you're engaged in a very good

1226
01:04:40,440 --> 01:04:44,360
Speaker 1: faith activity. So how much have you thought about you know,

1227
01:04:44,560 --> 01:04:47,640
Speaker 1: impossible meats and and all the other I feel like

1228
01:04:47,640 --> 01:04:49,240
Speaker 1: there's so many of that I can't keep trying beyond

1229
01:04:49,280 --> 01:04:51,280
Speaker 1: burger and things like that, and and where they've ended

1230
01:04:51,360 --> 01:04:54,160
Speaker 1: up in in terms of fast food, and we've seen

1231
01:04:54,240 --> 01:04:56,240
Speaker 1: him in Chipotle and Burger King and things like that.

1232
01:04:56,960 --> 01:04:59,560
Speaker 1: You know, I was initially more concerned about impossibles when

1233
01:04:59,560 --> 01:05:01,480
Speaker 1: they were to after more of like the high end

1234
01:05:01,600 --> 01:05:04,320
Speaker 1: chef and trying to position themselves as the premium product.

1235
01:05:04,880 --> 01:05:07,280
Speaker 1: But now I don't think that and somebody is going

1236
01:05:07,320 --> 01:05:10,760
Speaker 1: to invite you to their home to enjoy something that

1237
01:05:10,960 --> 01:05:13,840
Speaker 1: you can get on the menu at burger King, right,

1238
01:05:13,880 --> 01:05:17,480
Speaker 1: So from a positioning perspective, they've taken themselves so far

1239
01:05:17,640 --> 01:05:20,600
Speaker 1: out of the premium discussion, right, I mean, when can

1240
01:05:20,640 --> 01:05:21,960
Speaker 1: you imagine it's like, oh, come in my house, I

1241
01:05:21,960 --> 01:05:23,920
Speaker 1: got these same burgers that they started burger King, Like

1242
01:05:24,000 --> 01:05:26,120
Speaker 1: that would be almost like an offense right there. There's

1243
01:05:26,120 --> 01:05:28,320
Speaker 1: just a positioning question where I don't think for you know,

1244
01:05:28,440 --> 01:05:31,200
Speaker 1: my products are more for the home cook. They're really

1245
01:05:31,320 --> 01:05:34,280
Speaker 1: not in my corner of the pool. And broadly I

1246
01:05:34,400 --> 01:05:37,400
Speaker 1: see there their actual and the reason they're doing that,

1247
01:05:37,520 --> 01:05:39,760
Speaker 1: by the way, is that they've raised so much money

1248
01:05:40,080 --> 01:05:42,520
Speaker 1: and they lose so much on every single product. They're

1249
01:05:42,600 --> 01:05:44,600
Speaker 1: just like swimming as hard as they can to get

1250
01:05:44,680 --> 01:05:48,160
Speaker 1: some volume. Right. So they it wasn't like they you know,

1251
01:05:48,400 --> 01:05:52,040
Speaker 1: they they they didn't want to do that chef message, right,

1252
01:05:52,320 --> 01:05:54,840
Speaker 1: They started with that chef message, and they didn't get

1253
01:05:54,920 --> 01:05:58,360
Speaker 1: enough volume fast enough, right, So with that that sort

1254
01:05:58,360 --> 01:05:59,720
Speaker 1: of didn't work, so they had to go to and

1255
01:06:00,000 --> 01:06:02,480
Speaker 1: of it to another space. The other thing, I actually

1256
01:06:02,480 --> 01:06:04,920
Speaker 1: I'm thankful for the you know, the the what is

1257
01:06:04,960 --> 01:06:07,360
Speaker 1: it close to a billion dollars that those two companies,

1258
01:06:07,400 --> 01:06:10,080
Speaker 1: the biggest two players have deployed between the two of

1259
01:06:10,120 --> 01:06:13,560
Speaker 1: them in educating people about just how bad CAFOs are. Now,

1260
01:06:13,640 --> 01:06:15,800
Speaker 1: I'm not going to say that every impossible food graphic

1261
01:06:15,840 --> 01:06:20,960
Speaker 1: I've seen about big ag is correct, right, um, But broadly,

1262
01:06:21,640 --> 01:06:25,720
Speaker 1: I think that there's a public education and awareness around

1263
01:06:26,000 --> 01:06:29,200
Speaker 1: confinement meat operations that's just so heightened, and it's in

1264
01:06:29,280 --> 01:06:31,920
Speaker 1: good you know, in good part thanks to those to

1265
01:06:32,040 --> 01:06:34,840
Speaker 1: those operators, right, they've done a lot for me. UM

1266
01:06:35,160 --> 01:06:37,760
Speaker 1: And you know, it's I kind of don't I don't

1267
01:06:37,760 --> 01:06:41,280
Speaker 1: agree with the idea of we're going to um you know,

1268
01:06:41,680 --> 01:06:44,960
Speaker 1: rename this, you know, make them spell it m y

1269
01:06:45,120 --> 01:06:47,080
Speaker 1: et or something. It's sort of like that to me,

1270
01:06:47,440 --> 01:06:49,600
Speaker 1: is is kind of fighting the last war. You know.

1271
01:06:49,680 --> 01:06:52,280
Speaker 1: I don't think that a rebrand is the way to

1272
01:06:52,400 --> 01:06:54,080
Speaker 1: do this, or to force them to not call it

1273
01:06:54,160 --> 01:06:55,840
Speaker 1: meat doesn't make a lot of sense to me. I

1274
01:06:55,920 --> 01:06:58,000
Speaker 1: think it's like, you know, they're there's so obviously a

1275
01:06:58,040 --> 01:07:00,520
Speaker 1: different product. It's just not it's not something that that

1276
01:07:00,640 --> 01:07:04,120
Speaker 1: occurs to me as a competitive UM a competitive competitor

1277
01:07:04,200 --> 01:07:07,040
Speaker 1: to me, Yeah, were you? Are you ever surprised at

1278
01:07:07,080 --> 01:07:10,720
Speaker 1: how quickly it became acceptable and in what we'll call

1279
01:07:10,800 --> 01:07:14,120
Speaker 1: the mainstream you spend a billion dollars on something you

1280
01:07:14,160 --> 01:07:16,760
Speaker 1: can get to drink their own urine. If you spent

1281
01:07:16,840 --> 01:07:18,800
Speaker 1: a billion dollars on it, I mean literally, you and

1282
01:07:18,920 --> 01:07:21,240
Speaker 1: me could do that in in in six months, we

1283
01:07:21,280 --> 01:07:23,400
Speaker 1: could have America drinking it's own urine with how much

1284
01:07:23,440 --> 01:07:26,920
Speaker 1: those guys spent. Yeah, and and again that you know,

1285
01:07:27,200 --> 01:07:29,920
Speaker 1: from talking to those folks to being inside you know,

1286
01:07:30,280 --> 01:07:32,680
Speaker 1: to being inside their buildings and looking at things UM

1287
01:07:32,720 --> 01:07:35,560
Speaker 1: and reading about them, it feels to me like and

1288
01:07:35,720 --> 01:07:38,800
Speaker 1: at some level, UM, it's very important to talk about

1289
01:07:39,960 --> 01:07:43,920
Speaker 1: what is it that UM accelerated them, And it's the

1290
01:07:44,040 --> 01:07:46,600
Speaker 1: money and the Silicon Valley investment and the fact that

1291
01:07:46,640 --> 01:07:49,440
Speaker 1: that they have a proprietary technology to create these stuff

1292
01:07:49,480 --> 01:07:52,080
Speaker 1: and it's value. You know, what they did is they

1293
01:07:52,160 --> 01:07:55,640
Speaker 1: found a way to create a food product that could

1294
01:07:55,720 --> 01:07:58,200
Speaker 1: behave in the same hockey stick that they were accustomed to,

1295
01:07:59,080 --> 01:08:01,880
Speaker 1: Right yeah. So it's like, that's the miracle of what

1296
01:08:01,960 --> 01:08:04,520
Speaker 1: those guys did. It's like my operations. I go talk

1297
01:08:04,560 --> 01:08:06,320
Speaker 1: to a Silicon Valley. I mean, I had the benefit

1298
01:08:06,400 --> 01:08:09,400
Speaker 1: of having had very patient capital in my company. That's

1299
01:08:09,440 --> 01:08:13,160
Speaker 1: why we're here today. Right. But that's something that not

1300
01:08:13,440 --> 01:08:16,800
Speaker 1: many regenerative firms have. And and the reason why it's

1301
01:08:16,800 --> 01:08:20,000
Speaker 1: difficult for people in my space historically to get capital

1302
01:08:20,520 --> 01:08:22,560
Speaker 1: is that we don't offer quick returns and we're not

1303
01:08:22,800 --> 01:08:26,680
Speaker 1: very quickly scalable. Right. So those guys figured out how

1304
01:08:26,760 --> 01:08:29,439
Speaker 1: to offer something that kind of met many of the

1305
01:08:29,560 --> 01:08:35,320
Speaker 1: parameters of the type of investment that people were looking for, right. Yeah,

1306
01:08:35,600 --> 01:08:39,200
Speaker 1: So they've created a food product that financially, at least

1307
01:08:39,360 --> 01:08:44,679
Speaker 1: hypothetically behaves exactly like Silicon Valley wants, right, And that's

1308
01:08:45,040 --> 01:08:46,920
Speaker 1: very very appealing. You go to me and I'm like, yeah,

1309
01:08:47,000 --> 01:08:50,760
Speaker 1: talk to me in thirty years, right, right. Unfortunately we

1310
01:08:50,800 --> 01:08:54,360
Speaker 1: have a longer horizon, you know. Yeah, it's good for

1311
01:08:54,400 --> 01:08:56,920
Speaker 1: you to hear you say patient capital and and to

1312
01:08:56,960 --> 01:08:59,080
Speaker 1: think about the business side of this, because it's always

1313
01:08:59,080 --> 01:09:01,479
Speaker 1: a business, right And and you know, food as a

1314
01:09:01,560 --> 01:09:04,080
Speaker 1: business is complicated because you have to make profits. You've

1315
01:09:04,080 --> 01:09:07,240
Speaker 1: got a streamline. And I think that's probably how probably

1316
01:09:07,280 --> 01:09:09,439
Speaker 1: it is how we got to where we are today, um,

1317
01:09:09,560 --> 01:09:13,000
Speaker 1: and to what we're so used to. So, um, how

1318
01:09:13,080 --> 01:09:15,120
Speaker 1: does that work? How can you how can you look

1319
01:09:15,200 --> 01:09:17,000
Speaker 1: down the road and say, like, you know, we are

1320
01:09:17,080 --> 01:09:18,880
Speaker 1: already want to be today, but we are going to

1321
01:09:19,040 --> 01:09:24,040
Speaker 1: slowly and um, let's say, you know, openly move towards

1322
01:09:24,160 --> 01:09:26,800
Speaker 1: where this business needs to be. Because you said a

1323
01:09:26,840 --> 01:09:29,680
Speaker 1: couple of times, you know we're not going to be

1324
01:09:30,320 --> 01:09:33,040
Speaker 1: We're not gonna be a huge company, we may not

1325
01:09:33,160 --> 01:09:36,200
Speaker 1: go public. We mean, you know, is that how you

1326
01:09:36,560 --> 01:09:39,560
Speaker 1: how you feel it has to be? Um, that's a

1327
01:09:39,640 --> 01:09:44,160
Speaker 1: great question. I think that you know, the could there

1328
01:09:44,200 --> 01:09:48,400
Speaker 1: be a fast growing regenerative operation, Yes, probably now that

1329
01:09:48,439 --> 01:09:50,880
Speaker 1: there's more of a substrate of medium sized farms that

1330
01:09:50,920 --> 01:09:55,560
Speaker 1: are kind of toggling towards this UM. But broadly, you know,

1331
01:09:55,640 --> 01:10:00,320
Speaker 1: the expectations for capital today don't align with long term

1332
01:10:00,360 --> 01:10:03,960
Speaker 1: agricultural place right, And that's like where we you know,

1333
01:10:04,080 --> 01:10:08,439
Speaker 1: you think about short term mentality characterizes many aspects of

1334
01:10:08,600 --> 01:10:12,160
Speaker 1: agriculture today, where it's you're looking at you know, tilling

1335
01:10:12,200 --> 01:10:15,720
Speaker 1: the soil every year, disrupting the root systems. Carbon is sequestered,

1336
01:10:15,880 --> 01:10:18,479
Speaker 1: I mean, is let out of the earth through that tilling.

1337
01:10:18,840 --> 01:10:21,320
Speaker 1: So you're looking at systems that rely in their fundamental

1338
01:10:21,400 --> 01:10:23,519
Speaker 1: thing on a on looking at a one year horizon

1339
01:10:23,640 --> 01:10:26,880
Speaker 1: for return in terms of crops. Right. So that's the

1340
01:10:27,040 --> 01:10:29,920
Speaker 1: type of thing that I think, Um, people don't realize

1341
01:10:29,960 --> 01:10:33,560
Speaker 1: that implicit in in in conventional agriculture is this is

1342
01:10:33,600 --> 01:10:37,200
Speaker 1: a short term, one year cycle. Um. With regenerative agriculture,

1343
01:10:37,560 --> 01:10:40,120
Speaker 1: every day you're making short term tradeoffs. So we could

1344
01:10:40,120 --> 01:10:42,840
Speaker 1: get a hell of a lot more you know, alfalfa

1345
01:10:42,960 --> 01:10:44,479
Speaker 1: out of a field if we were to till it

1346
01:10:45,000 --> 01:10:48,000
Speaker 1: for one or two years, right, and then we've become

1347
01:10:48,000 --> 01:10:52,120
Speaker 1: pretty dependent on a cycle of fertilizers and get more costly,

1348
01:10:52,160 --> 01:10:54,400
Speaker 1: and there's a bunch of different things that happen and change, right,

1349
01:10:54,800 --> 01:10:57,120
Speaker 1: But every year, I mean, I'm gonna just ballpark. It's

1350
01:10:57,120 --> 01:11:01,439
Speaker 1: like a thirty haircut against potential activity by by pursuing

1351
01:11:01,800 --> 01:11:06,439
Speaker 1: there's a huge tradeoff with efficiency and and high output

1352
01:11:06,520 --> 01:11:10,080
Speaker 1: production with the way that we choose to form. Yeah,

1353
01:11:10,120 --> 01:11:12,680
Speaker 1: that's a great point and a point that we've made

1354
01:11:12,680 --> 01:11:14,479
Speaker 1: in the past that needs to be made is that

1355
01:11:14,560 --> 01:11:16,680
Speaker 1: the reason that we started tilling the soil and The

1356
01:11:16,720 --> 01:11:20,880
Speaker 1: reason we started injecting with chemicals is because we needed

1357
01:11:20,920 --> 01:11:23,840
Speaker 1: that we needed things to grow faster to supply our

1358
01:11:23,960 --> 01:11:26,559
Speaker 1: need for these for these products. And then we ended

1359
01:11:26,640 --> 01:11:29,240
Speaker 1: up with, especially on the agriculture side, the plant agg side,

1360
01:11:30,080 --> 01:11:33,479
Speaker 1: mono cultures. You know, millions of acres of monocultures that

1361
01:11:33,560 --> 01:11:37,400
Speaker 1: didn't that do not promote the type of habitat wild

1362
01:11:37,439 --> 01:11:41,120
Speaker 1: animals or domestic animals need to to thrive. UM. And

1363
01:11:41,200 --> 01:11:42,920
Speaker 1: that's one thing I want to talk to you, you know,

1364
01:11:43,320 --> 01:11:44,880
Speaker 1: see how you think about it from both you know,

1365
01:11:44,960 --> 01:11:47,600
Speaker 1: just a personal level and a business level is just

1366
01:11:47,800 --> 01:11:50,479
Speaker 1: land use. You know, how do you guys when you're

1367
01:11:50,479 --> 01:11:52,640
Speaker 1: when you're running your regenerate active forms, what do you

1368
01:11:52,680 --> 01:11:57,000
Speaker 1: think about how when this scales UM? Because I've hunted

1369
01:11:57,400 --> 01:12:00,559
Speaker 1: a place called Rome Ranch down in Texas, UM where

1370
01:12:00,640 --> 01:12:05,000
Speaker 1: there run BIS in its regenative agriculture UM basis for

1371
01:12:05,160 --> 01:12:07,160
Speaker 1: what they do. But they've got a lot of deer,

1372
01:12:07,200 --> 01:12:08,599
Speaker 1: they've got a lot of access to here. They all

1373
01:12:08,640 --> 01:12:10,400
Speaker 1: white tales, have got a lot of turkeys, they've got

1374
01:12:10,439 --> 01:12:13,880
Speaker 1: a lot of quail. UM. It's a great place to

1375
01:12:13,960 --> 01:12:16,640
Speaker 1: go and hunt, and it's also a regenative farm and

1376
01:12:16,760 --> 01:12:18,720
Speaker 1: those things seem to kind of line up. So how

1377
01:12:18,800 --> 01:12:22,160
Speaker 1: much have you thought about land use UM in terms

1378
01:12:22,240 --> 01:12:24,760
Speaker 1: of you know, both just as a personal philosophy and

1379
01:12:24,760 --> 01:12:29,880
Speaker 1: then it's the business of bel Campo. We have the

1380
01:12:30,000 --> 01:12:35,560
Speaker 1: potential in the United States to utilize livestock to be

1381
01:12:35,640 --> 01:12:39,439
Speaker 1: a positive player in the environment in many, many areas

1382
01:12:39,479 --> 01:12:42,600
Speaker 1: of the US. Right here in California. We see this

1383
01:12:42,680 --> 01:12:45,680
Speaker 1: with the fire management issues we have. Were we to

1384
01:12:45,800 --> 01:12:48,840
Speaker 1: manage land like we used to, you know, the turn

1385
01:12:48,840 --> 01:12:51,400
Speaker 1: of the century, last century in California, we would be

1386
01:12:51,520 --> 01:12:55,880
Speaker 1: using ruminants to clear out underbrush, right, mimicking the natural

1387
01:12:56,040 --> 01:13:00,800
Speaker 1: massive amounts of tually elkin and and deer and and

1388
01:13:01,080 --> 01:13:03,479
Speaker 1: all those different animals we used to have endemic in

1389
01:13:03,520 --> 01:13:07,320
Speaker 1: our in our in our environment here in California. Right,

1390
01:13:07,760 --> 01:13:13,680
Speaker 1: So we have a um opportunity to use livestock as

1391
01:13:13,760 --> 01:13:18,320
Speaker 1: a tool for increasing productivity and increasing land output throughout

1392
01:13:18,439 --> 01:13:21,400
Speaker 1: the throughout the US. Right were don't do that because

1393
01:13:21,439 --> 01:13:25,920
Speaker 1: we have this idea of like there's a pristine, beautiful

1394
01:13:26,000 --> 01:13:30,720
Speaker 1: wild environment that must be absent of animals, right, that's

1395
01:13:30,720 --> 01:13:32,800
Speaker 1: our thinking. It's like we are absent of animals, Like

1396
01:13:32,920 --> 01:13:35,120
Speaker 1: that's the way that we imagine in our mind's eye

1397
01:13:35,200 --> 01:13:37,800
Speaker 1: that the that nature is. It's like without animals that

1398
01:13:37,880 --> 01:13:40,320
Speaker 1: that we're gonna preserve something. We're taking everything out. But

1399
01:13:40,439 --> 01:13:45,760
Speaker 1: these systems evolved in concert with animals, right, And these

1400
01:13:45,840 --> 01:13:49,400
Speaker 1: the systems evolved with with animals as a natural part

1401
01:13:49,560 --> 01:13:54,840
Speaker 1: of of how the soils were conserved, how biodiversity was cultivated.

1402
01:13:55,120 --> 01:13:57,679
Speaker 1: That's part of the system. So of course we're upper Creek.

1403
01:13:57,920 --> 01:14:01,280
Speaker 1: Of course we are. Like we took one major element.

1404
01:14:01,320 --> 01:14:03,280
Speaker 1: It's like we took water out of the garden. Of

1405
01:14:03,320 --> 01:14:05,040
Speaker 1: course it's not gonna work. You can't just take one

1406
01:14:05,080 --> 01:14:08,960
Speaker 1: thing like that out. That's so crucial. Yeah, it's it's

1407
01:14:09,000 --> 01:14:11,600
Speaker 1: good to hear, you know, the thought process. And and

1408
01:14:11,720 --> 01:14:14,000
Speaker 1: one of the things that's impressed me with almost everyone

1409
01:14:14,080 --> 01:14:16,559
Speaker 1: that I come into contact with that knows anything about

1410
01:14:16,600 --> 01:14:20,120
Speaker 1: regenerative agriculture and as using it to some end, whether

1411
01:14:20,200 --> 01:14:24,120
Speaker 1: it's commercially or just on their own, as under has

1412
01:14:24,160 --> 01:14:28,200
Speaker 1: a deeper understanding of that connectivity and a deeper understanding

1413
01:14:28,920 --> 01:14:32,000
Speaker 1: number one, of soil as the bedrock of all that

1414
01:14:32,120 --> 01:14:34,719
Speaker 1: we do and everything that we eat. All the animals

1415
01:14:35,240 --> 01:14:40,760
Speaker 1: that people are consuming that you guys sell are are eating. Uh,

1416
01:14:41,479 --> 01:14:43,320
Speaker 1: I would imagine and what you can talk about this

1417
01:14:43,360 --> 01:14:47,479
Speaker 1: about your farms eating what they're meant to eat, right,

1418
01:14:47,560 --> 01:14:51,320
Speaker 1: they're eating they're they're eating plants grown in a healthy soil.

1419
01:14:51,600 --> 01:14:53,439
Speaker 1: And so can you talk about the soil part of

1420
01:14:53,640 --> 01:14:56,519
Speaker 1: of what you guys do and how that gets all

1421
01:14:56,600 --> 01:14:59,240
Speaker 1: the way to you know, the butcher's block and all

1422
01:14:59,280 --> 01:15:01,400
Speaker 1: the and then all the way to to the retail

1423
01:15:01,439 --> 01:15:04,400
Speaker 1: sterm Well, you know, the interesting trend in all of

1424
01:15:04,439 --> 01:15:06,439
Speaker 1: our food right now, and the reason that we see

1425
01:15:06,479 --> 01:15:09,240
Speaker 1: such a boom in the supplement's industry is that a

1426
01:15:09,320 --> 01:15:12,400
Speaker 1: lot of our food today is nutritionally bereft, right, it

1427
01:15:12,520 --> 01:15:16,240
Speaker 1: has far less nutrients. And this is like even you know,

1428
01:15:16,320 --> 01:15:18,599
Speaker 1: you see this like in our eggs, right, a free

1429
01:15:18,680 --> 01:15:21,920
Speaker 1: range bell Campo eggs has three times the protein that

1430
01:15:22,120 --> 01:15:25,840
Speaker 1: a caged, factory battery farmed eggs, three times same amount

1431
01:15:25,880 --> 01:15:27,600
Speaker 1: of calories. I actually don't know the bath of what

1432
01:15:27,640 --> 01:15:29,800
Speaker 1: the other calories come from, but three times the protein, right,

1433
01:15:30,160 --> 01:15:33,360
Speaker 1: So just you know question of like forced molting and

1434
01:15:33,640 --> 01:15:37,240
Speaker 1: and really you know these high production that's forced on

1435
01:15:37,240 --> 01:15:38,760
Speaker 1: these aniles because of what they do with you know,

1436
01:15:39,000 --> 01:15:43,160
Speaker 1: the factory chickens is put them into starvation and females

1437
01:15:43,240 --> 01:15:46,720
Speaker 1: if every species. Actually, when you're starved, you become hyperfertile,

1438
01:15:46,760 --> 01:15:48,360
Speaker 1: and then you become infertile because your body kind of

1439
01:15:48,360 --> 01:15:50,640
Speaker 1: gives it one less go. So the way they do

1440
01:15:50,800 --> 01:15:52,800
Speaker 1: that chickens, you starve them, they push out a bunch

1441
01:15:52,800 --> 01:15:54,160
Speaker 1: of eggs and then they give them food again, they

1442
01:15:54,160 --> 01:15:57,200
Speaker 1: start them again, so those eggs are lower quality. That's

1443
01:15:57,200 --> 01:15:59,639
Speaker 1: an extreme example I give you to kind of present,

1444
01:16:00,160 --> 01:16:02,559
Speaker 1: you know, an extreme example that illustrates the case. Right,

1445
01:16:02,920 --> 01:16:05,280
Speaker 1: the other things that happen there are more subtle. Carbon

1446
01:16:05,400 --> 01:16:09,560
Speaker 1: in soil is crucial to micronutrient capturing plants, so you

1447
01:16:09,680 --> 01:16:12,879
Speaker 1: can't have micronutrient rich This is why our our broccoli

1448
01:16:13,040 --> 01:16:15,600
Speaker 1: is less satiating and our spinach doesn't have all the

1449
01:16:15,680 --> 01:16:17,720
Speaker 1: same micronutrients. And some of these great studies you can

1450
01:16:17,760 --> 01:16:20,720
Speaker 1: read about, you know, nutrite analysis of vegetables and meats

1451
01:16:20,760 --> 01:16:23,720
Speaker 1: in the nineteen fifties compared today, and the trend line

1452
01:16:23,800 --> 01:16:25,880
Speaker 1: is just down, down, down, and something like thirty times

1453
01:16:25,960 --> 01:16:27,880
Speaker 1: the vitamin C in an orange that there used to

1454
01:16:27,960 --> 01:16:32,160
Speaker 1: be it, right, So there's this huge like decline in

1455
01:16:32,280 --> 01:16:34,760
Speaker 1: the in the in the nutritional balance of all of

1456
01:16:34,800 --> 01:16:39,080
Speaker 1: our products. Now. The carbon as part of that is

1457
01:16:39,120 --> 01:16:43,160
Speaker 1: because carbon supports micronutrient extraction from the soil, and then

1458
01:16:43,200 --> 01:16:46,320
Speaker 1: the soil that has more carbon has more micronutrients, so

1459
01:16:46,360 --> 01:16:47,600
Speaker 1: it's like they can get out of the soil and

1460
01:16:47,640 --> 01:16:49,000
Speaker 1: then there's more of it in there to begin with,

1461
01:16:49,400 --> 01:16:50,960
Speaker 1: and then that ends up in the plants, and that

1462
01:16:51,120 --> 01:16:54,800
Speaker 1: ends up in the in the products in our you know,

1463
01:16:55,280 --> 01:16:57,880
Speaker 1: the way that we see that in our products to

1464
01:16:57,960 --> 01:17:01,480
Speaker 1: day and the kind of like end different rents. It's

1465
01:17:01,520 --> 01:17:04,759
Speaker 1: complex because these are, unfortunately not things that are tracked,

1466
01:17:04,920 --> 01:17:07,000
Speaker 1: you know, the r D a panel on a on

1467
01:17:07,160 --> 01:17:10,280
Speaker 1: a you know, a jar of something, doesn't you know,

1468
01:17:10,439 --> 01:17:12,720
Speaker 1: that's what's like one percent of the picture right of

1469
01:17:12,760 --> 01:17:15,479
Speaker 1: the micro nutrient profile. What I hear and what I

1470
01:17:15,560 --> 01:17:19,280
Speaker 1: observe is um just greater satiety. People eat less. And

1471
01:17:19,320 --> 01:17:21,559
Speaker 1: I think you probably feel that with game too, right, Ben,

1472
01:17:22,120 --> 01:17:24,960
Speaker 1: is that like people can kill a sixty four ounces

1473
01:17:25,120 --> 01:17:27,200
Speaker 1: corn fed ribby, but it's like trying to eat sixty

1474
01:17:27,200 --> 01:17:29,880
Speaker 1: four ounces of elk. You've gotta be kidding me, right,

1475
01:17:30,040 --> 01:17:32,600
Speaker 1: Like it's it's very satiating, and that's not because of

1476
01:17:32,600 --> 01:17:34,800
Speaker 1: the calories. Actually has less calories, but it's got the

1477
01:17:34,840 --> 01:17:36,559
Speaker 1: other stuff that your body is like, oh, I'm getting

1478
01:17:36,600 --> 01:17:39,000
Speaker 1: all my nutrients. I can stop eating now, right, So

1479
01:17:39,120 --> 01:17:41,400
Speaker 1: that's your that's very functional of your body to kind

1480
01:17:41,400 --> 01:17:43,880
Speaker 1: of have that that feedback loop for you. Um. And

1481
01:17:43,960 --> 01:17:46,040
Speaker 1: then the other thing that's interesting is when you let

1482
01:17:46,080 --> 01:17:51,120
Speaker 1: animals forage naturally, they naturally gravitate to a lot of

1483
01:17:51,240 --> 01:17:55,320
Speaker 1: different types of forage. There's a beautiful study about goats

1484
01:17:55,560 --> 01:17:58,519
Speaker 1: that shows that when they are suffering, they would induce E.

1485
01:17:58,640 --> 01:18:02,280
Speaker 1: Coli in goats, and then those goats would naturally go

1486
01:18:02,520 --> 01:18:05,880
Speaker 1: and find these very strong bitter herbs that are a

1487
01:18:06,040 --> 01:18:09,559
Speaker 1: natural antioxidant that at or anti parasitic, right, that would

1488
01:18:09,600 --> 01:18:12,680
Speaker 1: then clear them of that disease. So there's examples of

1489
01:18:12,760 --> 01:18:15,200
Speaker 1: animals just you know. So there's a nice story there

1490
01:18:15,200 --> 01:18:17,840
Speaker 1: in terms of like ability to heal ourselves and probably

1491
01:18:17,960 --> 01:18:20,599
Speaker 1: some some through lines so what we as humans potentially

1492
01:18:20,680 --> 01:18:23,080
Speaker 1: can do as well with with our own health. But

1493
01:18:23,200 --> 01:18:25,320
Speaker 1: also you have an animal that's eating a wide diversity

1494
01:18:25,400 --> 01:18:27,880
Speaker 1: of foods and as a result, that's another part of

1495
01:18:27,920 --> 01:18:30,639
Speaker 1: the reason why the micronutrient load is so much higher.

1496
01:18:30,680 --> 01:18:33,800
Speaker 1: It's the diversity of the diet. Yeah, yeah, I mean

1497
01:18:33,840 --> 01:18:35,920
Speaker 1: I I I look forward to a world I think

1498
01:18:35,960 --> 01:18:39,200
Speaker 1: this is this we're headed this way if we keep Yeah,

1499
01:18:39,240 --> 01:18:41,400
Speaker 1: folks like you keep doing what you're doing. Is that

1500
01:18:41,680 --> 01:18:44,800
Speaker 1: you know, we went through a time where we where

1501
01:18:44,840 --> 01:18:47,479
Speaker 1: we current, there was kind of a small scale i

1502
01:18:47,479 --> 01:18:50,960
Speaker 1: would say, revolt against the factory farming industry and how

1503
01:18:51,040 --> 01:18:53,599
Speaker 1: MutS being produced. And then we started to see labels

1504
01:18:53,720 --> 01:18:56,960
Speaker 1: like you guys have, which is grass fed, certified organic,

1505
01:18:57,080 --> 01:18:59,680
Speaker 1: and then when animal ethics started to come around, then

1506
01:18:59,720 --> 01:19:03,960
Speaker 1: it aimes certified humane and these you know, these labels

1507
01:19:04,439 --> 01:19:06,519
Speaker 1: have become part of our culture. And when people are

1508
01:19:06,680 --> 01:19:09,320
Speaker 1: are looking for a fast follow is this good or bad?

1509
01:19:09,760 --> 01:19:13,360
Speaker 1: They go and they look for this terminology. And I'm

1510
01:19:13,400 --> 01:19:15,920
Speaker 1: looking forward to a world where regecative agriculture or just

1511
01:19:16,040 --> 01:19:20,639
Speaker 1: the term regenerative means as much as organic, or means

1512
01:19:20,680 --> 01:19:23,080
Speaker 1: as much as humane or or some of these other

1513
01:19:23,200 --> 01:19:27,160
Speaker 1: things that UM that people look for on the shelves.

1514
01:19:27,640 --> 01:19:29,479
Speaker 1: I know, you guys have all of those things built

1515
01:19:29,520 --> 01:19:32,240
Speaker 1: into what you do. Have you thought about this terminology

1516
01:19:32,720 --> 01:19:34,880
Speaker 1: and how people kind of make, you know, some kinds

1517
01:19:34,920 --> 01:19:38,280
Speaker 1: snap judgments, or at least look for UM at the

1518
01:19:38,320 --> 01:19:40,760
Speaker 1: grocery store, at the retail counter, look for something that

1519
01:19:41,040 --> 01:19:44,800
Speaker 1: that seems like it has the qualities that we've pushed

1520
01:19:44,800 --> 01:19:49,479
Speaker 1: as a society of good of good food. I think

1521
01:19:49,560 --> 01:19:52,280
Speaker 1: the attraction that consumers have to the word free range

1522
01:19:52,320 --> 01:19:55,400
Speaker 1: and cage phrase a good sign. You know, those terms

1523
01:19:55,479 --> 01:19:58,160
Speaker 1: don't actually mean very much any more. They were kind

1524
01:19:58,200 --> 01:20:02,200
Speaker 1: of defanged by industry tree right, and I of course

1525
01:20:02,240 --> 01:20:07,320
Speaker 1: worried the same thing can happen to regenerative um. But yeah, broadly,

1526
01:20:08,720 --> 01:20:14,280
Speaker 1: you know, labels are very important, and I really have

1527
01:20:14,840 --> 01:20:18,160
Speaker 1: come to embrace my organic certification, for example, and a

1528
01:20:18,240 --> 01:20:20,320
Speaker 1: lot of people say, well, you know I'm organic, but

1529
01:20:20,400 --> 01:20:22,320
Speaker 1: I'm not certified, And I'm like, well, that's like telling

1530
01:20:22,320 --> 01:20:23,880
Speaker 1: the I R S, Like I pay my tax I

1531
01:20:23,960 --> 01:20:25,720
Speaker 1: just don't file my ten forty. You know. It's like

1532
01:20:26,160 --> 01:20:28,599
Speaker 1: come on, like it's it's you know, and this idea

1533
01:20:28,600 --> 01:20:31,280
Speaker 1: of like organics extradorly costly, it's like it's I actually know,

1534
01:20:31,400 --> 01:20:33,680
Speaker 1: I run a multiple organic farms and it's like two

1535
01:20:33,760 --> 01:20:36,680
Speaker 1: thousand dollars a year. It's not that expensive. So just

1536
01:20:37,160 --> 01:20:39,040
Speaker 1: you know, I just encourage your listeners and people with

1537
01:20:39,240 --> 01:20:41,000
Speaker 1: you hear that things like oh, we're organic, but it's

1538
01:20:41,040 --> 01:20:44,320
Speaker 1: too much paperwork. It's like, yeah, that's actually all the

1539
01:20:44,360 --> 01:20:46,760
Speaker 1: paperwork that organic does. As an operator, I'd say has

1540
01:20:46,760 --> 01:20:49,160
Speaker 1: all been good for our diligence and rigor. That said,

1541
01:20:49,479 --> 01:20:52,080
Speaker 1: we also have many non organic animals that are not

1542
01:20:52,600 --> 01:20:55,719
Speaker 1: in our program for really kind of ethical reasons. For example,

1543
01:20:56,160 --> 01:20:58,479
Speaker 1: you know, we we have a type of barley that

1544
01:20:58,560 --> 01:21:01,479
Speaker 1: grows wild on our farms. It's a it's a bearded barley.

1545
01:21:01,560 --> 01:21:04,040
Speaker 1: It's got like these long hairs on it. Those those

1546
01:21:04,080 --> 01:21:07,680
Speaker 1: hairs are very sharp our our calves. At times we'll

1547
01:21:07,720 --> 01:21:10,400
Speaker 1: get into a big patch of that and scratch their eyeballs.

1548
01:21:10,600 --> 01:21:12,799
Speaker 1: If the weather is right and whatever else is happening,

1549
01:21:13,160 --> 01:21:15,320
Speaker 1: they'll get pink eye. We can have a pink eye outbreak.

1550
01:21:15,840 --> 01:21:18,160
Speaker 1: And if we want to keep those animals in organic,

1551
01:21:18,760 --> 01:21:22,600
Speaker 1: we cannot give them an antibotic for pink eye. We

1552
01:21:22,800 --> 01:21:26,719
Speaker 1: choose for compassion reasons, right, and also business reasons because

1553
01:21:26,920 --> 01:21:29,720
Speaker 1: those animals will be stressed and malnourished for months. Right,

1554
01:21:29,760 --> 01:21:34,000
Speaker 1: So it's ethnically complex and dubious business decision to keep

1555
01:21:34,120 --> 01:21:37,040
Speaker 1: to let them have this disease. Right, So we'll give

1556
01:21:37,080 --> 01:21:41,040
Speaker 1: them the antibiotic, you know, and they will get better immediately,

1557
01:21:41,240 --> 01:21:43,160
Speaker 1: and they will never be organic. Right, So I can

1558
01:21:43,160 --> 01:21:45,880
Speaker 1: say organic has its complexities because do I think that

1559
01:21:46,120 --> 01:21:49,000
Speaker 1: one eye drop in each eye of one calf, and

1560
01:21:49,080 --> 01:21:51,320
Speaker 1: one day of its life mayrit's losing something that can

1561
01:21:51,680 --> 01:21:54,800
Speaker 1: that guy can charge a premium, and when every other

1562
01:21:54,880 --> 01:21:57,400
Speaker 1: day is still freaking expensive, that that makes sense to me.

1563
01:21:57,439 --> 01:21:59,680
Speaker 1: It's like, no, that's annoying. But I give that an

1564
01:21:59,680 --> 01:22:02,240
Speaker 1: examp people of the real reason why many farmers don't

1565
01:22:02,240 --> 01:22:04,280
Speaker 1: want to do organic. You know, they say it's like

1566
01:22:04,920 --> 01:22:07,719
Speaker 1: it's the paperwork or it's the fees. It's really because

1567
01:22:07,880 --> 01:22:10,360
Speaker 1: it holds you to a rigor around disclosure that can

1568
01:22:10,439 --> 01:22:13,160
Speaker 1: be frustrating. It doesn't always feel rational, right, does that

1569
01:22:13,240 --> 01:22:16,000
Speaker 1: make sense? You know, it's like that that's that's that's

1570
01:22:16,280 --> 01:22:17,920
Speaker 1: that sucks. It's a bummer. It's like, come on, I

1571
01:22:18,160 --> 01:22:20,160
Speaker 1: should be able to charge you know, eight ninety nine

1572
01:22:20,200 --> 01:22:22,320
Speaker 1: and said it's it's four ninety nine. But but that

1573
01:22:22,479 --> 01:22:26,280
Speaker 1: animal lived for you know, like eight hundred days and

1574
01:22:26,840 --> 01:22:29,680
Speaker 1: all that time, it was every one of those days

1575
01:22:29,760 --> 01:22:32,160
Speaker 1: if that one day was organic, and so is its

1576
01:22:32,200 --> 01:22:34,519
Speaker 1: mom when it was in you know, destdating, right, So

1577
01:22:34,800 --> 01:22:37,439
Speaker 1: that's the real reason why. But I think those labels

1578
01:22:37,439 --> 01:22:39,960
Speaker 1: are important, and I think, you know, I now see

1579
01:22:40,000 --> 01:22:41,439
Speaker 1: the labels as like it's a you know, it's a

1580
01:22:41,520 --> 01:22:44,040
Speaker 1: proxy for knowing your firm. Here, the best thing is

1581
01:22:44,120 --> 01:22:46,639
Speaker 1: to hunt it yourself or to buy it directly from

1582
01:22:46,680 --> 01:22:49,040
Speaker 1: somebody and a lot of you know, your listeners at

1583
01:22:49,040 --> 01:22:51,040
Speaker 1: our hunters. It's like you can buy whole beef and

1584
01:22:51,479 --> 01:22:53,639
Speaker 1: whole pigs the same way you can, you know, stalk

1585
01:22:53,680 --> 01:22:55,960
Speaker 1: a whole elk or a whole deer in your freezer. Right,

1586
01:22:56,320 --> 01:22:58,519
Speaker 1: So that that's the best option, is just to buy

1587
01:22:58,600 --> 01:23:01,160
Speaker 1: direct and know that farm learned and in that case

1588
01:23:01,200 --> 01:23:02,640
Speaker 1: that that guy is not organic, but you've been to

1589
01:23:02,720 --> 01:23:04,360
Speaker 1: his ranch and you've talked to his kids, and you

1590
01:23:04,439 --> 01:23:06,080
Speaker 1: get a great sense of what he does and his

1591
01:23:06,160 --> 01:23:08,639
Speaker 1: integrity in the world or her integrity in the world. Awesome,

1592
01:23:08,840 --> 01:23:11,360
Speaker 1: do it? You know, trust your judgment, not the label, right,

1593
01:23:11,400 --> 01:23:13,599
Speaker 1: don't walk away from that farm gate being like, nope,

1594
01:23:13,600 --> 01:23:15,600
Speaker 1: you're not certified humane, right if you've observed that the

1595
01:23:15,640 --> 01:23:18,479
Speaker 1: practices are there, because very small operations a lot of times,

1596
01:23:18,520 --> 01:23:20,559
Speaker 1: so even that two thousand dollars is something that can

1597
01:23:20,600 --> 01:23:23,639
Speaker 1: tip somebody over the edge. Right, So there's a real

1598
01:23:24,040 --> 01:23:26,120
Speaker 1: but those when you don't have that mano a mano

1599
01:23:26,240 --> 01:23:29,960
Speaker 1: personal relationship, those certifications are a proxy and they're an

1600
01:23:29,960 --> 01:23:33,800
Speaker 1: important proxy. Um, So I I think that increasingly, you know,

1601
01:23:33,920 --> 01:23:36,479
Speaker 1: regenerative certification is going to be something that people are

1602
01:23:36,520 --> 01:23:39,160
Speaker 1: gonna want to see. Um. The problem in all of this,

1603
01:23:39,800 --> 01:23:43,519
Speaker 1: right is the cost load and the premium perception. You know,

1604
01:23:43,720 --> 01:23:48,160
Speaker 1: I I struggle with my My beef operation is somewhere

1605
01:23:48,160 --> 01:23:51,200
Speaker 1: between three and five times is expensive for one of

1606
01:23:51,240 --> 01:23:54,120
Speaker 1: our beef to produce compared to conventional operation. But I

1607
01:23:54,200 --> 01:23:59,320
Speaker 1: can charge like double, right, so there's a my incremental ability.

1608
01:23:59,320 --> 01:24:01,000
Speaker 1: So the way that I coop that, right, So if

1609
01:24:01,000 --> 01:24:03,160
Speaker 1: I you go to a grocery store and you are

1610
01:24:03,240 --> 01:24:06,519
Speaker 1: to see you know, like whatever Bob's um feed loot

1611
01:24:06,560 --> 01:24:09,000
Speaker 1: beef for sale for thound and then there's bill Camp

1612
01:24:09,080 --> 01:24:11,920
Speaker 1: and it's like or twelve nine pound, So it's already

1613
01:24:11,920 --> 01:24:15,639
Speaker 1: a big premium. But the the actual cost I should

1614
01:24:15,680 --> 01:24:18,400
Speaker 1: be it should be more like you know, like that

1615
01:24:18,520 --> 01:24:21,880
Speaker 1: they're they're at there at and I'm at fifteen, right

1616
01:24:21,920 --> 01:24:24,240
Speaker 1: if I actually look at the real costs of raising them.

1617
01:24:24,560 --> 01:24:26,840
Speaker 1: So the reason that we're able to recoup that is

1618
01:24:26,880 --> 01:24:29,439
Speaker 1: that we're with our grocery store partners. For example, we

1619
01:24:29,560 --> 01:24:31,479
Speaker 1: distribute direct, so we don't work through distributors, so we

1620
01:24:31,560 --> 01:24:34,040
Speaker 1: save a couple percentage points there we don't spend as

1621
01:24:34,120 --> 01:24:36,640
Speaker 1: much on like what's called trades spend or advertising in

1622
01:24:36,800 --> 01:24:39,280
Speaker 1: store um, and that allows us to recoup a little bit,

1623
01:24:39,320 --> 01:24:42,080
Speaker 1: so we capture mergin in other ways. How scalable is

1624
01:24:42,120 --> 01:24:44,160
Speaker 1: that in the long term? You know, so the challenges

1625
01:24:44,240 --> 01:24:47,320
Speaker 1: like all these additional levels of certification and do what's

1626
01:24:47,360 --> 01:24:49,800
Speaker 1: the premium that I can command? So I'd say we're

1627
01:24:49,800 --> 01:24:52,120
Speaker 1: generative has a chance as a certification if it can

1628
01:24:52,200 --> 01:24:55,719
Speaker 1: legitimately command a real premium that captures the incremental cost

1629
01:24:55,800 --> 01:24:58,720
Speaker 1: of that style of production. Right, It's it's really math

1630
01:24:59,600 --> 01:25:02,920
Speaker 1: like every like everything. Yeah, I mean a lot, a

1631
01:25:02,960 --> 01:25:05,560
Speaker 1: lot to cover in there. But I do think that

1632
01:25:06,439 --> 01:25:09,160
Speaker 1: these terms free range is a really good example of

1633
01:25:09,240 --> 01:25:13,600
Speaker 1: one that these terms, the terms are used to manipulate

1634
01:25:13,720 --> 01:25:16,080
Speaker 1: us in the same way that we're being manipulated on

1635
01:25:16,160 --> 01:25:18,880
Speaker 1: the fast food scale. You know that we're being commercialized

1636
01:25:18,920 --> 01:25:22,240
Speaker 1: into into a burger at burger King free range. When

1637
01:25:22,320 --> 01:25:26,320
Speaker 1: it became a a term that people at Whole Foods

1638
01:25:26,439 --> 01:25:29,080
Speaker 1: really that like they had to have it. If they

1639
01:25:29,120 --> 01:25:30,679
Speaker 1: were gonna shop at Whole Foods and they were gonna

1640
01:25:30,680 --> 01:25:33,280
Speaker 1: buy meat, free range had to be there. It's it's

1641
01:25:33,800 --> 01:25:36,519
Speaker 1: then that when the demand grows, then there's and the

1642
01:25:36,800 --> 01:25:39,479
Speaker 1: industry wants to then manipulate that term. So if you

1643
01:25:39,520 --> 01:25:42,639
Speaker 1: look at chicken in the way that producers can get

1644
01:25:42,680 --> 01:25:45,040
Speaker 1: around the term free range, I mean chicken could still

1645
01:25:45,200 --> 01:25:50,200
Speaker 1: be in a warehouse um and relatively close quarters and

1646
01:25:50,680 --> 01:25:55,439
Speaker 1: and still get the free range the free range label.

1647
01:25:55,840 --> 01:25:58,639
Speaker 1: Morgan Spurlock has a really good documentary from years ago

1648
01:25:58,640 --> 01:26:01,280
Speaker 1: about this exact thing that lay is this out um

1649
01:26:01,760 --> 01:26:04,720
Speaker 1: and so it's just another like the proximity ethic and

1650
01:26:04,760 --> 01:26:08,120
Speaker 1: all this just comes back to no matter what, that label,

1651
01:26:09,040 --> 01:26:11,439
Speaker 1: while important for people that aren't going to go to

1652
01:26:11,520 --> 01:26:13,519
Speaker 1: the farmer's market every day, that aren't going to kill

1653
01:26:13,560 --> 01:26:18,960
Speaker 1: their own elk, while important, is is manipulatable. Maybe not

1654
01:26:19,120 --> 01:26:22,280
Speaker 1: easily manipulated. You know more than I about that term,

1655
01:26:22,479 --> 01:26:25,559
Speaker 1: but it can be manipulated, has been manipulated, and as

1656
01:26:25,600 --> 01:26:27,760
Speaker 1: some and at some level this at this point is

1657
01:26:27,800 --> 01:26:33,559
Speaker 1: watered down right absolutely free range means that the animals

1658
01:26:33,640 --> 01:26:36,600
Speaker 1: have access to the outdoors. What that means practically is

1659
01:26:36,680 --> 01:26:39,360
Speaker 1: that there'll be a quantt hut that's say eighty feet long,

1660
01:26:39,560 --> 01:26:42,600
Speaker 1: and there'll be a door that's eighteen inches wide on

1661
01:26:42,800 --> 01:26:46,280
Speaker 1: one side of that quantit hut, and that door will

1662
01:26:46,640 --> 01:26:49,080
Speaker 1: open up onto a small run that's like you know,

1663
01:26:49,360 --> 01:26:51,720
Speaker 1: a couple feet wide and a couple of feet long

1664
01:26:52,040 --> 01:26:55,120
Speaker 1: where the animals hypothetically can go outside. And these animals

1665
01:26:55,120 --> 01:26:57,799
Speaker 1: are still like debaked and inside and eating a slurry

1666
01:26:57,840 --> 01:27:02,280
Speaker 1: and under huge stress. Right, So you know the problem

1667
01:27:02,439 --> 01:27:05,280
Speaker 1: is that when you let animals really live outside and

1668
01:27:05,439 --> 01:27:10,720
Speaker 1: be natural and relaxed, they don't gain weight very fast, right, um,

1669
01:27:10,880 --> 01:27:13,120
Speaker 1: And so that the real problem with free range is

1670
01:27:13,160 --> 01:27:16,200
Speaker 1: that it's fundamentally again when I said earlier in the conversation,

1671
01:27:16,320 --> 01:27:20,920
Speaker 1: were willfully anti efficient. That's what I'm talking about because

1672
01:27:21,040 --> 01:27:23,200
Speaker 1: think about it. For you and me, it's like, think

1673
01:27:23,240 --> 01:27:25,719
Speaker 1: about the times in your life when you were inside

1674
01:27:25,760 --> 01:27:29,439
Speaker 1: all the time, didn't get natural sunlight, ate the same thing.

1675
01:27:29,760 --> 01:27:31,920
Speaker 1: I mean we kind of remember like in college and stuff.

1676
01:27:31,920 --> 01:27:33,200
Speaker 1: It's like those are the times you gain weight under

1677
01:27:33,240 --> 01:27:35,320
Speaker 1: a huge amount of stress. So they you know, the

1678
01:27:35,400 --> 01:27:38,120
Speaker 1: weight gain in chickens in particular, because we're talking about

1679
01:27:38,120 --> 01:27:41,240
Speaker 1: free ranges, it's really relevant to chickens into poultry that

1680
01:27:41,360 --> 01:27:44,720
Speaker 1: weight gain and poultry is as tied to cortisol and

1681
01:27:44,920 --> 01:27:47,920
Speaker 1: in confinement as it is to anything specific in its

1682
01:27:48,000 --> 01:27:50,320
Speaker 1: feed you know, in the case of chickens, for example,

1683
01:27:50,560 --> 01:27:53,799
Speaker 1: we feed our chickens, like on paper, something very similar

1684
01:27:53,800 --> 01:27:55,600
Speaker 1: to what Tyson feeds them, right, which is, you know,

1685
01:27:55,720 --> 01:27:58,719
Speaker 1: kind of a mix of corn and and barley and wheat.

1686
01:27:58,800 --> 01:28:01,280
Speaker 1: I mean Tyson probably uses corn and soy. We use

1687
01:28:01,280 --> 01:28:04,160
Speaker 1: a little bit of corn and other grains. But let's

1688
01:28:04,160 --> 01:28:06,080
Speaker 1: say it's directionally, it's the same thing. It's a grain

1689
01:28:06,240 --> 01:28:08,960
Speaker 1: bas and so the lugoons in it. And we raise

1690
01:28:09,040 --> 01:28:10,760
Speaker 1: exactly the same breed for part of our chickens, a

1691
01:28:10,800 --> 01:28:13,640
Speaker 1: cornersh cross, and so that Tyson. So but Tyson, it

1692
01:28:13,720 --> 01:28:15,040
Speaker 1: takes them two and a half weeks to come to

1693
01:28:15,080 --> 01:28:17,400
Speaker 1: about three pounds n bell. Campbell takes eight ten weeks.

1694
01:28:18,120 --> 01:28:20,720
Speaker 1: And that's the difference. It's confinement. So when we talk

1695
01:28:20,760 --> 01:28:23,360
Speaker 1: about whether or not free range animals are, you know,

1696
01:28:23,680 --> 01:28:27,479
Speaker 1: how whether or not that's a legitimate turn or not. UM,

1697
01:28:27,680 --> 01:28:32,880
Speaker 1: it's absolutely an efficiency question, right, it's about whether or

1698
01:28:32,920 --> 01:28:36,479
Speaker 1: not they are um, whether or not by getting access

1699
01:28:36,520 --> 01:28:39,080
Speaker 1: to the outdoors, they're going to gain weight much more slowly,

1700
01:28:39,760 --> 01:28:43,080
Speaker 1: and so to to there's a really good reason why

1701
01:28:43,240 --> 01:28:45,800
Speaker 1: there's been a work around, right, which is that it's

1702
01:28:45,880 --> 01:28:47,800
Speaker 1: a lot more expensive to do it that way, and

1703
01:28:47,880 --> 01:28:50,680
Speaker 1: it's difficult, if not impossible, to pass that costs on

1704
01:28:50,720 --> 01:28:54,759
Speaker 1: to consumers. Yeah. Yeah, that the the more in spurlocked

1705
01:28:54,800 --> 01:28:57,679
Speaker 1: acumator I mentioned. It's called super Size Me too, I think,

1706
01:28:57,920 --> 01:29:01,840
Speaker 1: And he it's pretty funny. He um creates his own

1707
01:29:01,920 --> 01:29:05,800
Speaker 1: restaurant called Holy Chicken, and all the marketing is he

1708
01:29:05,880 --> 01:29:08,960
Speaker 1: calls authentically honest, which I think he's doing this for

1709
01:29:09,320 --> 01:29:13,519
Speaker 1: ironic purposes. Um, of course, but he's got all of

1710
01:29:13,640 --> 01:29:16,040
Speaker 1: the actual terms. They're what they mean, what he had

1711
01:29:16,120 --> 01:29:18,680
Speaker 1: to do to get him um. And some of the

1712
01:29:18,720 --> 01:29:21,080
Speaker 1: scenes with the marketing firms and that in that film

1713
01:29:21,120 --> 01:29:25,120
Speaker 1: are hilarious, hilarious. And so you guys are doing You're

1714
01:29:25,160 --> 01:29:27,400
Speaker 1: not You're not doing it for a gag like he is,

1715
01:29:28,400 --> 01:29:31,479
Speaker 1: although a poignant one. Um. But you guys are trying

1716
01:29:31,520 --> 01:29:34,240
Speaker 1: to in some ways do the same thing he's doing

1717
01:29:34,320 --> 01:29:38,800
Speaker 1: by tearing down the walls of marketing fluff and you know,

1718
01:29:38,960 --> 01:29:43,800
Speaker 1: not misinformation, but certainly certainly the twisting of information too.

1719
01:29:43,880 --> 01:29:46,160
Speaker 1: I will not use the word natural on any of

1720
01:29:46,240 --> 01:29:48,679
Speaker 1: my products. I will not use the word free range,

1721
01:29:48,720 --> 01:29:51,360
Speaker 1: and I will not use the word cage free. Those

1722
01:29:51,400 --> 01:29:55,200
Speaker 1: are all meaningless words. Yeah, Okay, so that's like my

1723
01:29:55,479 --> 01:29:58,400
Speaker 1: kind of wilful disobedience on those fronts. Right. I use

1724
01:29:58,479 --> 01:30:02,479
Speaker 1: the word pastured, um, I use the word like outdoor. Um.

1725
01:30:02,720 --> 01:30:05,160
Speaker 1: You know we use other words, right, But the Spins

1726
01:30:05,160 --> 01:30:09,120
Speaker 1: put in particular, the word natural is abhorrent. You know,

1727
01:30:09,240 --> 01:30:11,479
Speaker 1: that's a word that's been completely co opted. And keep

1728
01:30:11,520 --> 01:30:14,160
Speaker 1: in mind to Ben, when I use any word on

1729
01:30:14,520 --> 01:30:17,720
Speaker 1: my packages, in in my grocery products, like let's say

1730
01:30:17,720 --> 01:30:20,720
Speaker 1: the word regenerative, I have to document to the U

1731
01:30:20,880 --> 01:30:23,800
Speaker 1: s d A why exactly were regeneratives In that case,

1732
01:30:23,920 --> 01:30:27,120
Speaker 1: I have my independent third party analysis from the Soil

1733
01:30:27,160 --> 01:30:30,280
Speaker 1: Carbon Coalition. We send that to them when we say

1734
01:30:30,360 --> 01:30:33,280
Speaker 1: here's our documentation, we have a discussion with them. So

1735
01:30:33,400 --> 01:30:36,519
Speaker 1: when a company like Tyson uses the word natural, there's

1736
01:30:36,520 --> 01:30:39,479
Speaker 1: an implicit co option of that word. It's not just

1737
01:30:39,560 --> 01:30:41,519
Speaker 1: like they put it on and nobody corrects them. Now

1738
01:30:41,600 --> 01:30:43,519
Speaker 1: they've gone to the U. S d A and they've

1739
01:30:43,560 --> 01:30:46,559
Speaker 1: made a case for why it's natural. And it's probably

1740
01:30:46,600 --> 01:30:48,280
Speaker 1: like these chickens have two legs. I don't know what

1741
01:30:48,360 --> 01:30:51,439
Speaker 1: about the Tyson products is natural, right, but they're able

1742
01:30:51,479 --> 01:30:53,720
Speaker 1: to make a case and then at that point the

1743
01:30:53,840 --> 01:30:56,920
Speaker 1: bar is lowered, and that becomes the standard for the

1744
01:30:57,040 --> 01:30:59,400
Speaker 1: use of that word. Yeah, they are betting on the

1745
01:30:59,439 --> 01:31:01,679
Speaker 1: fact that we're not gonna look into it. They're betting

1746
01:31:01,720 --> 01:31:04,840
Speaker 1: on the fact that millions and millions of Americans aren't

1747
01:31:04,840 --> 01:31:08,360
Speaker 1: going to give a ship beyond just these terms that

1748
01:31:08,479 --> 01:31:12,439
Speaker 1: make that make us feel like antibiotic free. They say,

1749
01:31:12,520 --> 01:31:15,280
Speaker 1: there's there's no antibiotics unless the animals are sick. That's

1750
01:31:15,320 --> 01:31:17,680
Speaker 1: what antibiotic free is to find as well. Guess what

1751
01:31:18,120 --> 01:31:21,680
Speaker 1: if you are a veterinarian working for Tyson, you know,

1752
01:31:21,840 --> 01:31:24,679
Speaker 1: it's like how all the animals are sick, all the animals,

1753
01:31:24,680 --> 01:31:26,560
Speaker 1: and you know what, it actually is legitimate because the

1754
01:31:26,840 --> 01:31:29,720
Speaker 1: conditions that the ranna are so risky, they're so you know,

1755
01:31:30,360 --> 01:31:32,920
Speaker 1: there's a there's this really kind of chilling study from

1756
01:31:32,920 --> 01:31:36,519
Speaker 1: the Pew Charitable Trust about confinement animal systems and the

1757
01:31:36,560 --> 01:31:38,600
Speaker 1: impact on humans who work there and the animals that

1758
01:31:38,600 --> 01:31:42,240
Speaker 1: are there. And they show that if they ventilation systems

1759
01:31:42,280 --> 01:31:45,040
Speaker 1: in one of those big quantit hut factory farms goes down,

1760
01:31:45,479 --> 01:31:48,080
Speaker 1: that all humans and animals have to be vacated from

1761
01:31:48,160 --> 01:31:51,240
Speaker 1: inside within nine minutes or they will die because of

1762
01:31:51,320 --> 01:31:55,560
Speaker 1: the air toxicity. Nine minutes that's how long like in

1763
01:31:55,640 --> 01:31:57,720
Speaker 1: a natur with those animals, didn't I that didn't have

1764
01:31:57,800 --> 01:32:01,160
Speaker 1: that massive ventilation system going, how long you'd have to

1765
01:32:01,360 --> 01:32:03,479
Speaker 1: get the hell out of that building and let get

1766
01:32:03,520 --> 01:32:06,679
Speaker 1: any animals out for their own protocols and their own information.

1767
01:32:07,040 --> 01:32:09,280
Speaker 1: So that's how bad it is in there, right, And

1768
01:32:09,439 --> 01:32:11,000
Speaker 1: that's why you know you can say like, well, we

1769
01:32:11,080 --> 01:32:13,400
Speaker 1: have to preside in the bogs because otherwise they continually

1770
01:32:13,400 --> 01:32:15,280
Speaker 1: get sick. Well, of course they freaking do. Of course

1771
01:32:15,280 --> 01:32:17,479
Speaker 1: they do. You know, it's like an environment that's so

1772
01:32:17,640 --> 01:32:20,400
Speaker 1: heavy in toxicity that when the fans break, everything dies

1773
01:32:20,439 --> 01:32:22,960
Speaker 1: in under ten minutes. Yeah, that was your own house.

1774
01:32:23,000 --> 01:32:24,920
Speaker 1: If the air conditioning broke at the summertime, you're like,

1775
01:32:24,920 --> 01:32:27,200
Speaker 1: get out of here. We're all gonna die. Yeah, we

1776
01:32:27,240 --> 01:32:30,840
Speaker 1: imagine living in environment You're like, okay, kids, if the

1777
01:32:30,920 --> 01:32:33,240
Speaker 1: fans go out, we have to leave. In ten minutes,

1778
01:32:33,280 --> 01:32:35,080
Speaker 1: we were all dead. Like of course you'd be like

1779
01:32:35,160 --> 01:32:37,880
Speaker 1: and by the way, take your slightly eight times a day,

1780
01:32:37,960 --> 01:32:40,400
Speaker 1: you know, like im that the walls are black, but

1781
01:32:40,520 --> 01:32:46,240
Speaker 1: it's Yeah. The other thing I always think of is

1782
01:32:46,439 --> 01:32:51,559
Speaker 1: that like every single generation of modern humans, at least

1783
01:32:51,720 --> 01:32:56,080
Speaker 1: as we go through, we always look back a generation

1784
01:32:56,240 --> 01:32:59,799
Speaker 1: or two in the past, and we we either chuckle

1785
01:33:00,080 --> 01:33:02,800
Speaker 1: or marvel or are disgusted by some of the things

1786
01:33:02,920 --> 01:33:06,280
Speaker 1: we did right smoking while pregnant, being advertised in the

1787
01:33:06,400 --> 01:33:09,679
Speaker 1: thirties and forties, and on and on. There's some things

1788
01:33:09,760 --> 01:33:12,080
Speaker 1: that we know now that make what we were doing

1789
01:33:12,120 --> 01:33:15,840
Speaker 1: in the past look abhorrent on many many levels, um

1790
01:33:16,439 --> 01:33:20,760
Speaker 1: generation to generation. Yeah, we always fall for technology. We

1791
01:33:20,840 --> 01:33:23,840
Speaker 1: always fall technology. You know. It's so funny. I remember, like,

1792
01:33:24,280 --> 01:33:27,320
Speaker 1: you know, seeing these kind of like these initial ads

1793
01:33:27,439 --> 01:33:31,439
Speaker 1: for the fake meats and it was like, oh, it's

1794
01:33:31,479 --> 01:33:33,320
Speaker 1: so awesome. It's highly processed. It looks just like me.

1795
01:33:33,439 --> 01:33:36,520
Speaker 1: And then my mind goes to like, you know, asbestos

1796
01:33:36,600 --> 01:33:39,560
Speaker 1: and less draw and like there's like I've seen this

1797
01:33:39,760 --> 01:33:42,160
Speaker 1: movie before and it never ends great, you know what,

1798
01:33:42,240 --> 01:33:45,559
Speaker 1: It's always the same. It's like, hey, we figured out

1799
01:33:45,600 --> 01:33:48,120
Speaker 1: how to take this thing and just totally transform and

1800
01:33:48,200 --> 01:33:49,720
Speaker 1: make it cheaper and make it out as something that's

1801
01:33:49,880 --> 01:33:53,360
Speaker 1: that's absolutely no genetic you know, similarity to the original item,

1802
01:33:53,439 --> 01:33:55,600
Speaker 1: and it's all great, you know, And it's like, you know,

1803
01:33:55,680 --> 01:33:59,400
Speaker 1: there's a there's a these stories more typically and badly

1804
01:33:59,479 --> 01:34:02,240
Speaker 1: than well. Right, but every day is a new day

1805
01:34:02,560 --> 01:34:04,439
Speaker 1: for us, Right, every day is a new day, and

1806
01:34:04,520 --> 01:34:07,839
Speaker 1: it's it's like we culturally embrace the new in America

1807
01:34:07,920 --> 01:34:10,000
Speaker 1: and we embrace it with joy, and we're like, yes,

1808
01:34:10,360 --> 01:34:13,479
Speaker 1: problem solved, let's do this. And we but we did

1809
01:34:13,560 --> 01:34:16,040
Speaker 1: look at the track record for these you know, highly

1810
01:34:16,080 --> 01:34:19,559
Speaker 1: aggressive innovations. Um that did that don't have any long

1811
01:34:19,760 --> 01:34:22,400
Speaker 1: term research or you know kind of impact studies on

1812
01:34:22,560 --> 01:34:26,280
Speaker 1: on nutrition or wellness right for humans and for the planet. Right.

1813
01:34:26,360 --> 01:34:27,960
Speaker 1: But there is that thing where it's like we we

1814
01:34:28,120 --> 01:34:30,719
Speaker 1: tend to just sort of fall for the pitch every

1815
01:34:30,800 --> 01:34:34,400
Speaker 1: time and then get surprised that, you know, lo and behold,

1816
01:34:34,439 --> 01:34:39,120
Speaker 1: the innovation actually has a bunch of unforeseen consequences and

1817
01:34:39,320 --> 01:34:41,320
Speaker 1: there's no such thing as a free lunch, you know.

1818
01:34:41,400 --> 01:34:43,200
Speaker 1: Think about that with the lust, remember that stuff where

1819
01:34:43,439 --> 01:34:45,120
Speaker 1: it was like this fat that you didn't know in

1820
01:34:45,200 --> 01:34:48,000
Speaker 1: the low fat diet and times, and you can eat

1821
01:34:48,000 --> 01:34:49,920
Speaker 1: all you want of it and you're never gonna gonna

1822
01:34:50,520 --> 01:34:53,679
Speaker 1: uh get absorbitity of fat. And people you know, start

1823
01:34:53,800 --> 01:34:56,479
Speaker 1: like leaking fat out of their butts. It's disgusting. We

1824
01:34:56,600 --> 01:34:58,760
Speaker 1: were wearing diapers and eating chips so and there are

1825
01:34:58,760 --> 01:35:00,719
Speaker 1: still people who are like cool, just where my diapers

1826
01:35:00,760 --> 01:35:02,320
Speaker 1: and eat my chips. You know, it's like, well, what

1827
01:35:02,439 --> 01:35:04,320
Speaker 1: else is going in your body in that time? What

1828
01:35:04,439 --> 01:35:06,559
Speaker 1: else is happening there? You know, and and these kind

1829
01:35:06,600 --> 01:35:09,400
Speaker 1: of innovations. We of course that's what's happening. You're you're

1830
01:35:09,439 --> 01:35:12,320
Speaker 1: not letting your digestive track absorbitly fat or it's you know,

1831
01:35:12,439 --> 01:35:14,360
Speaker 1: it's it's it's kind of like eating petroleum. It's not

1832
01:35:14,400 --> 01:35:17,720
Speaker 1: something you can physically break down. There's this of course,

1833
01:35:17,760 --> 01:35:19,640
Speaker 1: there's these implications. And I think the same thing with

1834
01:35:20,160 --> 01:35:23,360
Speaker 1: with you know, we're making like a product it's biosimilar

1835
01:35:23,439 --> 01:35:26,320
Speaker 1: to meat and then putting it into our bodies. Right,

1836
01:35:26,439 --> 01:35:28,479
Speaker 1: It's like the same thing with genetically modified cross Like,

1837
01:35:28,520 --> 01:35:30,200
Speaker 1: of course, things are going to go a little bit sideways.

1838
01:35:30,200 --> 01:35:33,839
Speaker 1: These are levels of fabrication that we don't really understand

1839
01:35:33,880 --> 01:35:36,040
Speaker 1: the long term implications left or even the near term,

1840
01:35:36,200 --> 01:35:38,559
Speaker 1: you know, even like a year of eating that product,

1841
01:35:38,640 --> 01:35:41,320
Speaker 1: what's going to happen? Yeah, Yeah, I feel like this

1842
01:35:41,439 --> 01:35:44,439
Speaker 1: time streams are certainly shrinking for us. But my hope

1843
01:35:44,439 --> 01:35:47,200
Speaker 1: has always been we look back at this time generations

1844
01:35:47,280 --> 01:35:49,360
Speaker 1: from now. My grandkids will look back at this time

1845
01:35:49,439 --> 01:35:51,920
Speaker 1: and say, you know, you guys are idiot, You guys

1846
01:35:51,960 --> 01:35:53,800
Speaker 1: are super smart and thanks for doing you know, the

1847
01:35:53,880 --> 01:35:57,360
Speaker 1: internet was great. Appreciate that, but you know it's really

1848
01:35:57,439 --> 01:36:01,720
Speaker 1: prescription opioids and fast food that you've you've sucked us on. Um,

1849
01:36:01,920 --> 01:36:05,160
Speaker 1: we're going to fix it up, but we're not. We

1850
01:36:05,200 --> 01:36:08,240
Speaker 1: don't appreciate you know how quickly you guys fell into

1851
01:36:08,280 --> 01:36:12,240
Speaker 1: these traps. Do you see the future of meat somehow

1852
01:36:12,680 --> 01:36:15,320
Speaker 1: where we can look back at this and say, you know,

1853
01:36:15,439 --> 01:36:18,280
Speaker 1: the grocery stores look different, the way people eat meat

1854
01:36:18,360 --> 01:36:21,560
Speaker 1: and think about meat and value animals looks different, and

1855
01:36:21,720 --> 01:36:25,080
Speaker 1: this was just a time of great discovery, but also

1856
01:36:25,200 --> 01:36:29,160
Speaker 1: just you know, great great misinformation and the fulling of

1857
01:36:29,200 --> 01:36:32,320
Speaker 1: America can somehow be just that when we look back

1858
01:36:32,360 --> 01:36:35,599
Speaker 1: on it, you know, fifty sixty years from now. Wow,

1859
01:36:36,880 --> 01:36:39,880
Speaker 1: I think about it. Oh my goodness, Like this is

1860
01:36:40,080 --> 01:36:42,519
Speaker 1: this is just the next level for me. I mean

1861
01:36:42,840 --> 01:36:46,800
Speaker 1: I see it already in the past eight years since

1862
01:36:46,840 --> 01:36:50,400
Speaker 1: I started this company. Okay, so I see it already

1863
01:36:50,479 --> 01:36:54,000
Speaker 1: in people's attitudes shifting and a little bit of is

1864
01:36:54,040 --> 01:36:56,439
Speaker 1: this kind of this like you know Thermidorian reaction where

1865
01:36:56,479 --> 01:36:59,880
Speaker 1: we go from this super high you know, paranoia around

1866
01:37:00,040 --> 01:37:03,439
Speaker 1: that and now there's everybody on the carnivore diet or

1867
01:37:03,479 --> 01:37:06,120
Speaker 1: eating their calories from animal fat, which I think is

1868
01:37:06,240 --> 01:37:10,280
Speaker 1: probably might be healthy, might not be a great idea.

1869
01:37:10,280 --> 01:37:13,280
Speaker 1: I don't really know. Right, So we're in this moment

1870
01:37:13,320 --> 01:37:17,800
Speaker 1: where we're over correcting in the fringe and there's going

1871
01:37:17,840 --> 01:37:20,680
Speaker 1: to be a recalibration towards the center. Um So, the

1872
01:37:21,080 --> 01:37:24,880
Speaker 1: biggest challenge for me in thinking about what does that

1873
01:37:25,000 --> 01:37:30,680
Speaker 1: future look like, it's just broadly, what's our cultural prioritization

1874
01:37:31,160 --> 01:37:35,080
Speaker 1: of our time when it comes to food preparation. So

1875
01:37:35,600 --> 01:37:37,880
Speaker 1: if you look at the you know, the the great

1876
01:37:37,960 --> 01:37:40,240
Speaker 1: developments that in the things that we've done with the

1877
01:37:40,320 --> 01:37:42,880
Speaker 1: fast food less so with the opioids, um less, my

1878
01:37:42,960 --> 01:37:47,280
Speaker 1: areas of specialization, but we've we've really we've decided that

1879
01:37:47,360 --> 01:37:49,280
Speaker 1: a bunch of things aren't worth it for us to do.

1880
01:37:49,600 --> 01:37:52,360
Speaker 1: We decided that making broth and kind of a meat

1881
01:37:52,520 --> 01:37:56,519
Speaker 1: and making you know, doing anything kind of manual is

1882
01:37:56,560 --> 01:37:58,160
Speaker 1: not a good use of our time and we would

1883
01:37:58,240 --> 01:37:59,800
Speaker 1: prefer to do other things. By the time, we spent

1884
01:37:59,800 --> 01:38:01,479
Speaker 1: a lot more time on our phones, right, we spend

1885
01:38:01,479 --> 01:38:05,160
Speaker 1: a lot more time absorbing information in through different media.

1886
01:38:05,560 --> 01:38:08,280
Speaker 1: So there's a there's a there's a cultural shift. So

1887
01:38:08,400 --> 01:38:10,920
Speaker 1: I don't doubt that the health crisis is going to

1888
01:38:11,000 --> 01:38:13,720
Speaker 1: push us towards some really radical shifts and things. Right,

1889
01:38:14,000 --> 01:38:16,800
Speaker 1: That's that's happening already. Um, But then the question is

1890
01:38:16,840 --> 01:38:19,000
Speaker 1: like where's the where's what's going to be the crux

1891
01:38:19,040 --> 01:38:21,640
Speaker 1: and what's the future generation approach to time and the

1892
01:38:21,880 --> 01:38:25,880
Speaker 1: role then responsibility. We have to spend time on food

1893
01:38:26,320 --> 01:38:29,360
Speaker 1: as part of our basic health and wellness. That's what

1894
01:38:29,439 --> 01:38:32,120
Speaker 1: I see less of positive trends around. I do a

1895
01:38:32,200 --> 01:38:34,280
Speaker 1: little bit in younger people, you know, getting excited about

1896
01:38:34,320 --> 01:38:37,400
Speaker 1: cooking again, but something around that, you know, the the

1897
01:38:37,560 --> 01:38:39,679
Speaker 1: understanding of that you're gonna need to spend a little

1898
01:38:39,720 --> 01:38:41,360
Speaker 1: bit more time on this, but it's gonna pay off

1899
01:38:41,479 --> 01:38:43,560
Speaker 1: for your entire life and it can be part of

1900
01:38:43,680 --> 01:38:46,320
Speaker 1: like a meditative ritual and joy. That's a dot I'd

1901
01:38:46,360 --> 01:38:49,240
Speaker 1: love to connect for people like you have it because

1902
01:38:49,280 --> 01:38:51,640
Speaker 1: you hunt and you like to eat meat. But you

1903
01:38:51,680 --> 01:38:53,439
Speaker 1: don't hunt because you like to eat me. You hunt

1904
01:38:53,479 --> 01:38:55,599
Speaker 1: because if you like to get away and be out

1905
01:38:55,680 --> 01:38:58,320
Speaker 1: there in nature and have sort of something you're kind

1906
01:38:58,360 --> 01:39:00,720
Speaker 1: of you know, I imagine like goal oriented and like

1907
01:39:00,920 --> 01:39:03,200
Speaker 1: to be not just like going for a wanderer, but

1908
01:39:03,320 --> 01:39:05,479
Speaker 1: feel like you're doing something and have an achievement in

1909
01:39:05,600 --> 01:39:07,840
Speaker 1: a in a reward associated with that achievement when you're

1910
01:39:07,840 --> 01:39:11,080
Speaker 1: out there, right, and so that hunting, you know, it's

1911
01:39:11,080 --> 01:39:13,840
Speaker 1: like you're doing something that's really gratifying, but it also

1912
01:39:13,840 --> 01:39:15,680
Speaker 1: has purpose when you're feeding your family, and so it

1913
01:39:15,760 --> 01:39:17,960
Speaker 1: scratches a lot of itches, right and again like and

1914
01:39:18,000 --> 01:39:19,920
Speaker 1: it helps you on a lot of different levels. So

1915
01:39:20,240 --> 01:39:23,120
Speaker 1: that's a really powerful set of gratifications right there. And

1916
01:39:23,160 --> 01:39:24,840
Speaker 1: it's not just about the food at that point. It's

1917
01:39:24,840 --> 01:39:28,400
Speaker 1: about satisfying a lot of different levels. So, um, I

1918
01:39:28,520 --> 01:39:30,439
Speaker 1: think you know, if we were able to look at

1919
01:39:31,040 --> 01:39:33,800
Speaker 1: at what are some more of those examples, um, that

1920
01:39:33,880 --> 01:39:37,479
Speaker 1: would be really really something that people could think about

1921
01:39:37,520 --> 01:39:42,200
Speaker 1: as a way to culture greater you know, greater societal change. Right.

1922
01:39:42,320 --> 01:39:44,639
Speaker 1: So it's like not just seeing it as like bringing

1923
01:39:44,680 --> 01:39:47,120
Speaker 1: food to the table, but it's like for me as

1924
01:39:47,200 --> 01:39:50,800
Speaker 1: somebody who loves to cook, um, and who somebody who

1925
01:39:50,840 --> 01:39:53,560
Speaker 1: like kind of struggle with this like idea that femininity

1926
01:39:53,640 --> 01:39:56,200
Speaker 1: and feminism now is like you have to reject the

1927
01:39:56,280 --> 01:39:59,160
Speaker 1: home a little bit is implicit like or that all

1928
01:39:59,200 --> 01:40:02,040
Speaker 1: these convenience foods are things that are going to kind

1929
01:40:02,040 --> 01:40:04,320
Speaker 1: of like save us from drudgery. And I like, I

1930
01:40:04,360 --> 01:40:08,040
Speaker 1: don't love drudgery, but I really do enjoy the the

1931
01:40:08,320 --> 01:40:11,240
Speaker 1: art and the thinking around planning my family's meals and

1932
01:40:11,520 --> 01:40:14,920
Speaker 1: organizing that and cooking really carefully and putting things away

1933
01:40:15,080 --> 01:40:18,080
Speaker 1: and and I also, you know, like I love the

1934
01:40:18,840 --> 01:40:21,000
Speaker 1: like cooking seasonally, and I think there's a lot of

1935
01:40:21,080 --> 01:40:22,880
Speaker 1: health and taking care of my family's health in that.

1936
01:40:23,200 --> 01:40:25,200
Speaker 1: So there's a lot of meditative joy in the same

1937
01:40:25,200 --> 01:40:27,760
Speaker 1: way that for you and hunting, that happens right where

1938
01:40:27,800 --> 01:40:30,800
Speaker 1: you're like, Okay, this isn't really just about what I'm doing, right,

1939
01:40:30,880 --> 01:40:32,720
Speaker 1: it's a it's the act of doing, and it's part

1940
01:40:32,760 --> 01:40:34,960
Speaker 1: of the joy. So for me on the culinary side,

1941
01:40:35,120 --> 01:40:37,479
Speaker 1: there's a lot of the gratification that's like the act

1942
01:40:37,520 --> 01:40:41,480
Speaker 1: of doing all these things is deeply satisfying and relaxing

1943
01:40:41,560 --> 01:40:44,640
Speaker 1: and um and makes me feel content. And it's not

1944
01:40:44,800 --> 01:40:46,719
Speaker 1: just about the food that I'm making or the caloric

1945
01:40:46,800 --> 01:40:49,560
Speaker 1: impact of that food. It's about the whole process of

1946
01:40:49,640 --> 01:40:52,560
Speaker 1: delivering that, right. It's it's a lot more implicit in that,

1947
01:40:52,800 --> 01:40:54,680
Speaker 1: And you're never going to get that from opening a

1948
01:40:54,760 --> 01:40:57,800
Speaker 1: freaking granola bar. You're just never going to get that.

1949
01:40:57,960 --> 01:40:59,280
Speaker 1: You know, and that's where I think a lot of

1950
01:40:59,439 --> 01:41:01,800
Speaker 1: like emotional eating and over eating comes from, is that

1951
01:41:02,280 --> 01:41:05,680
Speaker 1: people are looking for more, right um. And to me,

1952
01:41:05,760 --> 01:41:07,640
Speaker 1: it's like I'm more of an emotional cook than I

1953
01:41:07,640 --> 01:41:11,920
Speaker 1: am an emotional eater. Right, that's probably good thing to promote.

1954
01:41:11,960 --> 01:41:14,120
Speaker 1: That's probably they be like, listen, if you're getting emotional

1955
01:41:14,200 --> 01:41:16,120
Speaker 1: and you're not feeling really good, go cook, don't go

1956
01:41:16,200 --> 01:41:19,000
Speaker 1: to the fast fature. I had a really rock today yesterday.

1957
01:41:19,280 --> 01:41:21,120
Speaker 1: This is a true story. I had a really tough

1958
01:41:21,200 --> 01:41:24,400
Speaker 1: conversation and I like, I raised a leg of lamb

1959
01:41:24,600 --> 01:41:27,240
Speaker 1: and I was just a beautiful piece of meat. I

1960
01:41:27,360 --> 01:41:28,800
Speaker 1: really thought about how I was going to do it.

1961
01:41:29,040 --> 01:41:30,840
Speaker 1: I you know, enjoy the whole act of my house

1962
01:41:30,880 --> 01:41:32,640
Speaker 1: fell amazing and it was like a healing process for me.

1963
01:41:32,680 --> 01:41:34,519
Speaker 1: It was a great way to kind of sell, soothe

1964
01:41:35,000 --> 01:41:36,720
Speaker 1: and gave me a chance while I was doing to

1965
01:41:36,840 --> 01:41:38,600
Speaker 1: think about that and think about what I'm gonna do

1966
01:41:38,760 --> 01:41:41,720
Speaker 1: and react. And it was like claiming space. And you

1967
01:41:41,760 --> 01:41:43,280
Speaker 1: know a lot of this stuff too, Like think about

1968
01:41:43,280 --> 01:41:45,160
Speaker 1: it now, in America, we don't go to church anymore.

1969
01:41:45,400 --> 01:41:47,600
Speaker 1: We don't have you know, face to face friendships, we

1970
01:41:47,640 --> 01:41:50,040
Speaker 1: don't have communities It's like there's a lot of things

1971
01:41:50,080 --> 01:41:52,000
Speaker 1: that are kind of shredding were und us and and

1972
01:41:52,120 --> 01:41:54,639
Speaker 1: so it's like a lot of this kind of especially

1973
01:41:54,720 --> 01:41:56,640
Speaker 1: here in California. This like you know, people go to

1974
01:41:56,680 --> 01:41:59,120
Speaker 1: treat yoga like it's church, right, It's because they don't

1975
01:41:59,120 --> 01:42:00,640
Speaker 1: have church, you know. And so what what are the

1976
01:42:00,760 --> 01:42:03,040
Speaker 1: what are the rituals and the and the routines that

1977
01:42:03,160 --> 01:42:06,240
Speaker 1: fill that space. And I think that culinary can be

1978
01:42:06,400 --> 01:42:08,760
Speaker 1: one of those things. Yeah, I love it. Yeah, I

1979
01:42:08,800 --> 01:42:10,560
Speaker 1: mean I watched this so you have you seen The

1980
01:42:10,600 --> 01:42:13,720
Speaker 1: Social Dilemma on Netflix? Yes? I did. Everyone have rights,

1981
01:42:13,920 --> 01:42:16,559
Speaker 1: very compelling film, a lot of it. It really resonates

1982
01:42:16,600 --> 01:42:18,920
Speaker 1: with everybody that's staring at their phones a lot. But

1983
01:42:19,120 --> 01:42:20,840
Speaker 1: at the same time, I want to say, like, hey, guy,

1984
01:42:21,000 --> 01:42:23,680
Speaker 1: listen when you know they're the one character that's on

1985
01:42:23,760 --> 01:42:25,400
Speaker 1: there's telling us, you know, they're trying to addict you.

1986
01:42:25,479 --> 01:42:28,040
Speaker 1: They're using psy ops on the American public to addict

1987
01:42:28,080 --> 01:42:30,800
Speaker 1: you to your phones. I'm like, yeah, get in line.

1988
01:42:31,200 --> 01:42:34,720
Speaker 1: Everyone else is too. And an attention economy that you know,

1989
01:42:34,880 --> 01:42:36,960
Speaker 1: fast food wants your attention. They want to addict you

1990
01:42:37,040 --> 01:42:39,719
Speaker 1: to fast food. We want to be addicted to process sugars.

1991
01:42:39,800 --> 01:42:42,080
Speaker 1: We want to be addicted to our phones when everybody's

1992
01:42:42,080 --> 01:42:45,479
Speaker 1: trying to addict this. So though, like you know, magazine

1993
01:42:45,520 --> 01:42:49,599
Speaker 1: has never made money off of content and subscriptions. Yeah right,

1994
01:42:50,560 --> 01:42:52,519
Speaker 1: It's like, come on, guys, this isn't new. I think

1995
01:42:52,560 --> 01:42:54,800
Speaker 1: we're trying to vilify something. It's like, I mean, songs

1996
01:42:54,800 --> 01:42:57,000
Speaker 1: have blaming the printing precess for what's in the newspaper.

1997
01:42:57,040 --> 01:42:59,000
Speaker 1: But it's not that far off, you know. It's like

1998
01:42:59,080 --> 01:43:01,519
Speaker 1: this is just the new media, you know, and this

1999
01:43:01,640 --> 01:43:04,200
Speaker 1: is we've been trying to do this. Yeah, we've been

2000
01:43:04,240 --> 01:43:07,200
Speaker 1: trying to the you know, to act like we've stumbled

2001
01:43:07,240 --> 01:43:10,840
Speaker 1: onto the attention economy has something that just happened when

2002
01:43:10,880 --> 01:43:14,240
Speaker 1: social media became Maybe it's a more sophisticated version of that,

2003
01:43:14,400 --> 01:43:16,720
Speaker 1: but it's we've been doing that. Yeah. I'm sure when

2004
01:43:16,760 --> 01:43:19,920
Speaker 1: the TV came out, people saying, oh, we're doomed the television.

2005
01:43:19,960 --> 01:43:22,960
Speaker 1: It's gonna you know, it's gonna brainwash us all, you know.

2006
01:43:23,240 --> 01:43:25,840
Speaker 1: But we get over those things only with you know,

2007
01:43:25,920 --> 01:43:28,639
Speaker 1: the kind of conversations that you're having. And it's like, listen,

2008
01:43:28,840 --> 01:43:30,920
Speaker 1: people are trying to addict you to shitty food. They're

2009
01:43:30,960 --> 01:43:33,120
Speaker 1: trying to addict you to ship the food too. They

2010
01:43:33,160 --> 01:43:35,200
Speaker 1: can make money, that's what they're trying to do. They'll

2011
01:43:35,240 --> 01:43:38,080
Speaker 1: do anything to trick you into doing this. Um, that's

2012
01:43:38,080 --> 01:43:41,120
Speaker 1: just how they roll. You have to and and the mom.

2013
01:43:41,240 --> 01:43:44,680
Speaker 1: I think maybe the modern dilemma is we're away from

2014
01:43:44,720 --> 01:43:46,720
Speaker 1: our families. A lot of people especially you know, I

2015
01:43:46,720 --> 01:43:49,800
Speaker 1: would say California, but even here in Boswa, Montana, people

2016
01:43:49,880 --> 01:43:52,360
Speaker 1: move away from their families to be to to be

2017
01:43:52,479 --> 01:43:54,720
Speaker 1: in a better place, or to find a job. And

2018
01:43:54,800 --> 01:43:57,439
Speaker 1: then they're they're alone and the world is trying to

2019
01:43:57,520 --> 01:44:02,040
Speaker 1: addict them to everything. Um. And that maybe the modern struggle, um,

2020
01:44:02,600 --> 01:44:04,960
Speaker 1: where you're trying to fight against fast food, but you

2021
01:44:05,000 --> 01:44:07,000
Speaker 1: don't have a food culture. You can't go to your

2022
01:44:07,040 --> 01:44:08,680
Speaker 1: mom's house so she can't make you the cast or

2023
01:44:08,800 --> 01:44:12,080
Speaker 1: because she lives, you know, a country away or states away.

2024
01:44:17,200 --> 01:44:19,200
Speaker 1: Now there's that whole like I mean, that's where I

2025
01:44:19,320 --> 01:44:22,880
Speaker 1: just think when we when we've taken we've outsourced our

2026
01:44:22,920 --> 01:44:25,920
Speaker 1: food production to a couple of big companies right everywhere

2027
01:44:26,000 --> 01:44:28,439
Speaker 1: in the world. Is what we've done. We've in that

2028
01:44:28,760 --> 01:44:31,320
Speaker 1: given up a lot of other kind of lateral forms

2029
01:44:31,320 --> 01:44:35,280
Speaker 1: of joy and gratification and didn't really account for all that,

2030
01:44:35,400 --> 01:44:36,840
Speaker 1: and I think, you know, we now have like a

2031
01:44:36,920 --> 01:44:40,760
Speaker 1: pandemic of anxiety, right, particularly among women, with American women

2032
01:44:40,800 --> 01:44:43,439
Speaker 1: are like the most anxious on earth. And it's like, well,

2033
01:44:43,840 --> 01:44:46,080
Speaker 1: you know, there's I think that there's a there's a

2034
01:44:46,120 --> 01:44:49,240
Speaker 1: connection to then, like there's like lots of kind of

2035
01:44:49,560 --> 01:44:53,360
Speaker 1: ritual soothing, you know, caring things that we used to

2036
01:44:53,439 --> 01:44:56,160
Speaker 1: do in our culture that are just gone now and

2037
01:44:56,200 --> 01:44:58,600
Speaker 1: they're not societally approved, right and not things that we

2038
01:44:58,640 --> 01:45:00,519
Speaker 1: should be doing or and I I agree that there

2039
01:45:00,560 --> 01:45:02,080
Speaker 1: was a ball and chain, Like I'm very glad that

2040
01:45:02,120 --> 01:45:04,160
Speaker 1: I'm not watching you know, my clothes in the in

2041
01:45:04,240 --> 01:45:06,960
Speaker 1: the in the river. Right. But it's like there's all

2042
01:45:07,080 --> 01:45:09,720
Speaker 1: there's a there's a happy medium where some of these

2043
01:45:09,760 --> 01:45:13,080
Speaker 1: things could have multiple levels of benefit for anxiety, for wellness,

2044
01:45:13,160 --> 01:45:17,400
Speaker 1: for stability, for ourselves emotionally. Right. Yeah, food you know,

2045
01:45:17,680 --> 01:45:19,560
Speaker 1: if if we can get there with food, and I

2046
01:45:19,640 --> 01:45:22,040
Speaker 1: hope you know, I I have some of that because

2047
01:45:22,040 --> 01:45:24,840
Speaker 1: of hunting, but I'm not all the way there. Um,

2048
01:45:25,479 --> 01:45:27,320
Speaker 1: you know, I have young kids. It's like you have

2049
01:45:27,439 --> 01:45:30,280
Speaker 1: young kids, and it's sometimes it's hard to to really

2050
01:45:30,640 --> 01:45:32,479
Speaker 1: drill down on that stuff and you want it to

2051
01:45:32,560 --> 01:45:35,960
Speaker 1: go quickly at dinner time needs to be stress free

2052
01:45:36,000 --> 01:45:38,840
Speaker 1: and as quick as possible. Um So, it's not bad

2053
01:45:38,880 --> 01:45:40,960
Speaker 1: to have like a butcher box or something every once

2054
01:45:41,000 --> 01:45:44,240
Speaker 1: in a while, but you know, it's it's incrementally getting there.

2055
01:45:44,520 --> 01:45:48,240
Speaker 1: You know, hunting led me to gardening. Um gardening and

2056
01:45:48,360 --> 01:45:50,560
Speaker 1: hunting has led me to this proxy, this this like

2057
01:45:50,640 --> 01:45:52,880
Speaker 1: search for a proximity ethic and my food, and then

2058
01:45:52,920 --> 01:45:56,040
Speaker 1: that's led me to regenerative agriculture and trying to to

2059
01:45:56,320 --> 01:45:59,720
Speaker 1: understand the broader scale so that I can understand where

2060
01:45:59,760 --> 01:46:02,960
Speaker 1: I've it in. Um So, all that's healthy, but also

2061
01:46:03,000 --> 01:46:05,240
Speaker 1: the emotional part that you described, I think is something

2062
01:46:05,840 --> 01:46:07,880
Speaker 1: we've never touched on this year before. But I think

2063
01:46:07,920 --> 01:46:12,120
Speaker 1: that's it's it's super important because well, I guess maybe

2064
01:46:12,160 --> 01:46:15,280
Speaker 1: there's a question in there somewhere that do you feel

2065
01:46:15,320 --> 01:46:19,639
Speaker 1: like the consumers can feel emotionally connected to Bell Campo

2066
01:46:19,760 --> 01:46:22,680
Speaker 1: Meats because you're you're being honest in a way that

2067
01:46:22,760 --> 01:46:24,800
Speaker 1: other companies aren't, where they could sit down at their

2068
01:46:24,840 --> 01:46:27,120
Speaker 1: dinner table will be like, hey, guess what, here's the

2069
01:46:27,160 --> 01:46:29,240
Speaker 1: story of how this of this meat you're eating. Here's

2070
01:46:29,280 --> 01:46:31,840
Speaker 1: this leg of lamb, or here's this pork chop and

2071
01:46:32,920 --> 01:46:35,320
Speaker 1: tell the story of your company and you and what

2072
01:46:35,520 --> 01:46:37,600
Speaker 1: you guys do the same way as I tell the

2073
01:46:37,640 --> 01:46:39,720
Speaker 1: story of where I killed the antelope that's that we

2074
01:46:39,800 --> 01:46:42,080
Speaker 1: had for dinner. Last. What I feel like is I

2075
01:46:42,640 --> 01:46:47,240
Speaker 1: I enable people to feel joy around something that they

2076
01:46:47,439 --> 01:46:50,000
Speaker 1: like to feel excited about, but they typically feel ashamed of.

2077
01:46:50,800 --> 01:46:53,599
Speaker 1: Oh yeah, that's what I think the magic of our

2078
01:46:53,640 --> 01:46:55,240
Speaker 1: brand is. It's like, this is this thing where it's

2079
01:46:55,280 --> 01:46:57,840
Speaker 1: like for me, I was a vegetarian for mendas and

2080
01:46:57,880 --> 01:47:00,599
Speaker 1: I've never been less healthy right in in that time

2081
01:47:00,640 --> 01:47:03,120
Speaker 1: and overweight, and it's just it was a terrible, terrible

2082
01:47:03,479 --> 01:47:05,720
Speaker 1: protocol for me personally. This is in my teens, like

2083
01:47:05,800 --> 01:47:08,160
Speaker 1: many many young women, I was like, oh, it's bad

2084
01:47:08,200 --> 01:47:10,320
Speaker 1: for the planet and you know, stop eating meat, and

2085
01:47:10,320 --> 01:47:12,320
Speaker 1: it was it was a train wreck. And then when

2086
01:47:12,360 --> 01:47:15,479
Speaker 1: I got back on me living in Europe, I, um,

2087
01:47:16,960 --> 01:47:20,519
Speaker 1: then you know, now I probably probably six percent of

2088
01:47:20,560 --> 01:47:25,559
Speaker 1: my calories on average are from animal protein and fat minimum, right, um.

2089
01:47:25,960 --> 01:47:28,000
Speaker 1: And that's the diet that I really do great on

2090
01:47:28,360 --> 01:47:31,639
Speaker 1: that just really works for me. But it's for people

2091
01:47:31,720 --> 01:47:33,360
Speaker 1: like me, or maybe a little bit less extreme than me,

2092
01:47:33,479 --> 01:47:36,519
Speaker 1: it's like there's a there's this problem where you're like, God,

2093
01:47:36,680 --> 01:47:40,000
Speaker 1: like this food that was you know, ancestrally extremely relevant

2094
01:47:40,040 --> 01:47:42,200
Speaker 1: for us. It really works great for me, but I feel,

2095
01:47:42,560 --> 01:47:45,160
Speaker 1: you know, kind of ashamed about it, right because of

2096
01:47:45,280 --> 01:47:47,760
Speaker 1: because of this is the complexity of the choice. So

2097
01:47:49,120 --> 01:47:51,640
Speaker 1: what I think what I see are consumers embracing is

2098
01:47:51,680 --> 01:47:55,160
Speaker 1: they're like, oh, I love this, It's great for my health.

2099
01:47:55,800 --> 01:47:58,560
Speaker 1: I feel fantastic when I eat this, and now I

2100
01:47:58,640 --> 01:48:03,120
Speaker 1: can share are in an uncomplicated way, you know. And

2101
01:48:03,360 --> 01:48:06,200
Speaker 1: for many and obviously tons of America is still making

2102
01:48:06,240 --> 01:48:08,880
Speaker 1: whatever they want, you know, shouting for the rooftops. Right,

2103
01:48:08,880 --> 01:48:10,720
Speaker 1: So I'm talking about a pretty niche audience. But that

2104
01:48:10,840 --> 01:48:12,920
Speaker 1: sense of being like, wow, I can be super proud

2105
01:48:12,960 --> 01:48:14,880
Speaker 1: about my choice for something that does really well for

2106
01:48:15,000 --> 01:48:18,560
Speaker 1: me is really empowering people. Yeah. Yeah, and and and

2107
01:48:18,720 --> 01:48:21,320
Speaker 1: to know that, like we're all I think the modern sense,

2108
01:48:22,000 --> 01:48:25,439
Speaker 1: our diets are imperfect in so many ways. Even if

2109
01:48:25,520 --> 01:48:29,160
Speaker 1: you're like me food conscious and I want to be

2110
01:48:29,240 --> 01:48:32,600
Speaker 1: health conscious, I slip up all the time. Um, I

2111
01:48:32,720 --> 01:48:34,720
Speaker 1: fall into the traps. You know, people have cheat days

2112
01:48:34,760 --> 01:48:36,200
Speaker 1: in their diets. You know, you fall into the trap

2113
01:48:36,280 --> 01:48:39,000
Speaker 1: were like, I understand that those processed foods are out

2114
01:48:39,000 --> 01:48:42,120
Speaker 1: there I understand sugars and stuff. I love a nice doughnut. Um,

2115
01:48:42,320 --> 01:48:45,080
Speaker 1: I like a nice piece of pizza, and you know

2116
01:48:45,240 --> 01:48:47,040
Speaker 1: those just knowing that those things are out there. But

2117
01:48:47,120 --> 01:48:48,519
Speaker 1: if you can have a couple of days a week

2118
01:48:48,560 --> 01:48:52,480
Speaker 1: at least where you're doing, you know, sharing that emotionality

2119
01:48:52,640 --> 01:48:55,920
Speaker 1: and the way that you're describing, that's a start um

2120
01:48:56,000 --> 01:48:59,760
Speaker 1: And it gets addicting after a while to have that connection. Well,

2121
01:48:59,800 --> 01:49:02,040
Speaker 1: you know for me too, it's funny like I don't

2122
01:49:02,280 --> 01:49:04,680
Speaker 1: cook a massive meal every night. I do cook a

2123
01:49:04,800 --> 01:49:06,720
Speaker 1: lot um. But then the other thing is like when

2124
01:49:06,760 --> 01:49:09,360
Speaker 1: I do have like more of a simple meal, I'm

2125
01:49:09,400 --> 01:49:12,640
Speaker 1: really stoked to have just like cheese and you know,

2126
01:49:12,880 --> 01:49:15,160
Speaker 1: like some olives or whatever it might be, like a

2127
01:49:15,200 --> 01:49:17,479
Speaker 1: bunch of nuts. Like you also can get simpler when

2128
01:49:17,600 --> 01:49:19,680
Speaker 1: you're kind of your cheats are happening to write like

2129
01:49:19,760 --> 01:49:23,120
Speaker 1: it's a there's a mentality around it where it's almost

2130
01:49:23,160 --> 01:49:26,479
Speaker 1: like we we became. For me, i'd I'd much rather

2131
01:49:26,640 --> 01:49:28,600
Speaker 1: just eat a bunch of like brazil nuts and a

2132
01:49:28,800 --> 01:49:31,599
Speaker 1: couple of boiled eggs than eat a frozen TV dinner.

2133
01:49:31,680 --> 01:49:34,960
Speaker 1: But that looks like a square meal, you know, just rationally,

2134
01:49:35,040 --> 01:49:36,640
Speaker 1: that makes a lot more sense to me. Right, I

2135
01:49:36,680 --> 01:49:39,559
Speaker 1: would never I would never opt for a full meal

2136
01:49:39,720 --> 01:49:42,200
Speaker 1: that was frozen in pa prepackage against just like kind

2137
01:49:42,240 --> 01:49:45,880
Speaker 1: of like an abundant raw food, whole food snack of

2138
01:49:45,960 --> 01:49:48,960
Speaker 1: some sort. But that mentality is something that I taught

2139
01:49:49,000 --> 01:49:51,120
Speaker 1: myself as an adult, right. I didn't necessarily go up

2140
01:49:51,160 --> 01:49:53,120
Speaker 1: with that um, but it was and it was about

2141
01:49:53,240 --> 01:49:55,680
Speaker 1: my own kind of wellness and how I saw it.

2142
01:49:56,080 --> 01:49:58,200
Speaker 1: So there's a sense to where it's like, I think,

2143
01:49:58,200 --> 01:50:00,720
Speaker 1: when you adopt that kind of mentality, you can still

2144
01:50:00,800 --> 01:50:03,040
Speaker 1: have cheats and still do you know, still eat those

2145
01:50:03,080 --> 01:50:05,280
Speaker 1: things that are indulgent and delicious to you. But like

2146
01:50:05,600 --> 01:50:07,960
Speaker 1: there's also a way to frame kind of like every

2147
01:50:08,040 --> 01:50:12,599
Speaker 1: meal and food opportunity in that thinking, right, yeah, because

2148
01:50:12,600 --> 01:50:16,040
Speaker 1: there's essentially like a simplicity and an ease that comes

2149
01:50:16,120 --> 01:50:19,960
Speaker 1: from eating higher quality, minimally processed foods. Like everything actually

2150
01:50:20,000 --> 01:50:22,280
Speaker 1: does get easier, so you get a benefit for that

2151
01:50:22,439 --> 01:50:25,280
Speaker 1: higher price because all of a sudden, you're making roast

2152
01:50:25,360 --> 01:50:27,080
Speaker 1: chicken and you just throw themself on an in Stoke

2153
01:50:27,160 --> 01:50:29,080
Speaker 1: and it's great and you're good to go and everyone.

2154
01:50:30,880 --> 01:50:32,840
Speaker 1: I like you said about last year, we just moved

2155
01:50:32,880 --> 01:50:34,240
Speaker 1: in a new a house and I did have a

2156
01:50:34,280 --> 01:50:36,360
Speaker 1: garden last year when I got everything set up for

2157
01:50:36,439 --> 01:50:38,479
Speaker 1: next year, and I like there was something part of

2158
01:50:38,560 --> 01:50:41,280
Speaker 1: me that as much as I love having elk in

2159
01:50:41,320 --> 01:50:44,120
Speaker 1: the freezer, man, did I miss a fresh tomato and

2160
01:50:44,360 --> 01:50:47,800
Speaker 1: like fresh cucumber and being able to look outside and

2161
01:50:47,880 --> 01:50:49,680
Speaker 1: see as I'm eating it and see where it came

2162
01:50:49,760 --> 01:50:52,800
Speaker 1: from too. So I like, you know, I hope people

2163
01:50:52,880 --> 01:50:55,639
Speaker 1: can can see that. You know, some nice pink salt

2164
01:50:55,800 --> 01:50:58,400
Speaker 1: on a on an elk back strap can feel the

2165
01:50:58,479 --> 01:51:00,160
Speaker 1: same as a fresh ground pepper on it. You know,

2166
01:51:00,200 --> 01:51:02,680
Speaker 1: it's olive oil on a tomato or something like that.

2167
01:51:02,920 --> 01:51:05,040
Speaker 1: So all that stuff is connected in the and the

2168
01:51:05,120 --> 01:51:07,560
Speaker 1: emotion of of what you're doing and the taste of

2169
01:51:07,640 --> 01:51:12,880
Speaker 1: the thing um that you've cultivated. So I appreciate it well,

2170
01:51:13,200 --> 01:51:17,080
Speaker 1: uh I, I really I think everything you're saying on

2171
01:51:17,200 --> 01:51:19,080
Speaker 1: you has made some connections for me, hopefully for the

2172
01:51:19,120 --> 01:51:22,160
Speaker 1: audience as well, in a way where we try to

2173
01:51:22,280 --> 01:51:25,479
Speaker 1: think about, you know, the proximity to our food, but

2174
01:51:25,560 --> 01:51:27,439
Speaker 1: also what do we do on a mass scale, because

2175
01:51:27,479 --> 01:51:29,880
Speaker 1: that's the generational question we're gonna have to answer here,

2176
01:51:29,960 --> 01:51:32,400
Speaker 1: not only for ourselves and our own health, but for

2177
01:51:32,479 --> 01:51:34,880
Speaker 1: the environment. You know, as you mentioned in the beginning,

2178
01:51:34,920 --> 01:51:36,960
Speaker 1: so well, I think hunters are leading the way to

2179
01:51:37,280 --> 01:51:40,080
Speaker 1: you know, like to get this to scale and to

2180
01:51:40,160 --> 01:51:42,360
Speaker 1: make this more broadly available, we need to open the

2181
01:51:42,439 --> 01:51:46,920
Speaker 1: doors around people eating more cuts of meat, being more

2182
01:51:46,960 --> 01:51:49,880
Speaker 1: responsible about wasting. Me and I guarantee it that you're

2183
01:51:49,960 --> 01:51:53,360
Speaker 1: more cautious about waste and leftovers on that elk box

2184
01:51:53,439 --> 01:51:55,120
Speaker 1: draft that you have then you ever are from anything

2185
01:51:55,160 --> 01:51:56,680
Speaker 1: about from the store. Like when you have a sense

2186
01:51:56,760 --> 01:51:59,560
Speaker 1: of caution and creation and and pride, you're going to

2187
01:51:59,600 --> 01:52:04,120
Speaker 1: be more careful about the entire utilization. Right. So that's

2188
01:52:04,200 --> 01:52:09,120
Speaker 1: something that I think, um, you know that that consciousness

2189
01:52:09,160 --> 01:52:11,280
Speaker 1: about the product is the first step. And that's why

2190
01:52:11,400 --> 01:52:13,920
Speaker 1: I actually feel great about charging a premium price from

2191
01:52:13,960 --> 01:52:17,080
Speaker 1: my product, because I say, well, if nothing else, this

2192
01:52:17,160 --> 01:52:20,160
Speaker 1: gets people to be more cautious about waste, right, and

2193
01:52:20,560 --> 01:52:22,880
Speaker 1: more conscious about it going bad and maybe saying hey,

2194
01:52:22,920 --> 01:52:24,600
Speaker 1: I'll just take those chicken bones from the roast and

2195
01:52:24,640 --> 01:52:26,240
Speaker 1: I'll throw them in a potnam make some broth out

2196
01:52:26,280 --> 01:52:28,800
Speaker 1: of that and getting more And that's why doing that,

2197
01:52:28,880 --> 01:52:31,840
Speaker 1: you're extracting more nutrition out of that carcass. You're taking

2198
01:52:31,920 --> 01:52:34,320
Speaker 1: more of that life force and turning into nutrition, which

2199
01:52:34,360 --> 01:52:36,760
Speaker 1: is why we killed that animal to begin with, right

2200
01:52:36,800 --> 01:52:38,320
Speaker 1: in the same way that when you hunt you do that.

2201
01:52:38,880 --> 01:52:41,360
Speaker 1: So it's like, I think you you've got the you

2202
01:52:41,439 --> 01:52:43,519
Speaker 1: know in your audience and what you're doing. You've got

2203
01:52:43,560 --> 01:52:45,679
Speaker 1: the fundaments of what it's going to take in terms

2204
01:52:45,720 --> 01:52:49,439
Speaker 1: of like a wisdom and understanding around animal utilization and

2205
01:52:49,760 --> 01:52:53,240
Speaker 1: extracting full nutrition from life. That that's what that's the

2206
01:52:53,320 --> 01:52:54,720
Speaker 1: kind of We don't need all of that, We don't

2207
01:52:54,720 --> 01:52:56,640
Speaker 1: need people to be as like rad as you are

2208
01:52:56,760 --> 01:52:59,840
Speaker 1: on it, but like some of those steps right are

2209
01:53:00,040 --> 01:53:01,560
Speaker 1: what we need to do. And I also love it

2210
01:53:01,560 --> 01:53:03,800
Speaker 1: when you're hunting, you know, you're trying different cuts, you're

2211
01:53:03,840 --> 01:53:06,600
Speaker 1: making raises, you're making, you're smoking many many of the

2212
01:53:06,640 --> 01:53:08,120
Speaker 1: hunters that I know, it's like the first time they

2213
01:53:08,160 --> 01:53:10,920
Speaker 1: ever ground meat was because they were, you know, trying

2214
01:53:11,000 --> 01:53:13,120
Speaker 1: to make you know, venison sausage or something or summer

2215
01:53:13,120 --> 01:53:15,400
Speaker 1: sausage like. So it's like it's getting people down this

2216
01:53:15,520 --> 01:53:17,599
Speaker 1: pathway because they're like so damn proud of that animal

2217
01:53:17,600 --> 01:53:19,559
Speaker 1: they got. They want to make it into every single

2218
01:53:19,640 --> 01:53:21,519
Speaker 1: thing that they can eat year round. And that's part

2219
01:53:21,560 --> 01:53:23,400
Speaker 1: of the education as well. I mean, I definitely see

2220
01:53:23,439 --> 01:53:26,880
Speaker 1: hunters as part of this movement around regenerative and the

2221
01:53:26,920 --> 01:53:30,240
Speaker 1: progressive front on food. Yeah, I think what when you

2222
01:53:30,520 --> 01:53:32,599
Speaker 1: talk about that progressive food movement, I mean I think

2223
01:53:32,680 --> 01:53:34,160
Speaker 1: I've always said that. I think it's a there's a

2224
01:53:34,280 --> 01:53:38,080
Speaker 1: value base that's starting to come up that you display

2225
01:53:38,200 --> 01:53:40,280
Speaker 1: that a lot of hunters that listen to this show display.

2226
01:53:40,760 --> 01:53:45,519
Speaker 1: Vegans and vegetarians display it too. And every time I

2227
01:53:45,560 --> 01:53:47,320
Speaker 1: have a vegan on or an animal rights activist and

2228
01:53:47,360 --> 01:53:49,519
Speaker 1: we're supposed to argue, I just say, like, I'm with you, man,

2229
01:53:50,479 --> 01:53:53,160
Speaker 1: Like I'm with you. I want you to be on

2230
01:53:53,320 --> 01:53:56,439
Speaker 1: my team. But stop being such an asshole about it. Like,

2231
01:53:56,600 --> 01:53:58,960
Speaker 1: let's let's figure let's understand that we all have an

2232
01:53:59,040 --> 01:54:02,360
Speaker 1: underlying value. Say that says we we want to eat better,

2233
01:54:02,520 --> 01:54:05,080
Speaker 1: we want to understand where the food comes from, and

2234
01:54:05,160 --> 01:54:08,160
Speaker 1: we want to reject the what's becoming the norm society,

2235
01:54:08,240 --> 01:54:12,000
Speaker 1: which is harmful industrial food production. Like we're all trying

2236
01:54:12,040 --> 01:54:14,439
Speaker 1: to do that in different ways. Stop telling me I'm

2237
01:54:14,479 --> 01:54:17,080
Speaker 1: bad because I eat meat, and let's just hug it

2238
01:54:17,160 --> 01:54:19,560
Speaker 1: out and will everybody be fine? You know? But what

2239
01:54:19,800 --> 01:54:22,120
Speaker 1: what I'm excited about is this value system that's starting

2240
01:54:22,160 --> 01:54:23,840
Speaker 1: to come up and you see it in regenerative, you

2241
01:54:23,840 --> 01:54:25,400
Speaker 1: see it in what you're doing, you see it in

2242
01:54:26,080 --> 01:54:28,280
Speaker 1: lots of places our society. And if we could get

2243
01:54:28,360 --> 01:54:31,840
Speaker 1: everybody together and be like same team, we'd have a

2244
01:54:31,920 --> 01:54:35,760
Speaker 1: powerful force for not anti meat, pro meat, but just

2245
01:54:35,920 --> 01:54:40,800
Speaker 1: like pro proximity and pro understanding. Um. I think that's

2246
01:54:40,840 --> 01:54:44,200
Speaker 1: definitely could happen if we can figure out how to

2247
01:54:44,200 --> 01:54:47,520
Speaker 1: talk to the animal rights folks down off the ledge. Yeah,

2248
01:54:47,600 --> 01:54:50,320
Speaker 1: I get we made it easy for them to vilify meat,

2249
01:54:50,680 --> 01:54:53,600
Speaker 1: you know, like we've we have consumption patterns and production

2250
01:54:53,640 --> 01:54:55,800
Speaker 1: patterns that have made it easy for them to vilify meat.

2251
01:54:56,440 --> 01:54:59,160
Speaker 1: All right, That's that's true. It's like we've set ourselves up.

2252
01:54:59,160 --> 01:55:01,040
Speaker 1: We built the strong and right like we did it.

2253
01:55:01,520 --> 01:55:05,880
Speaker 1: So it's a and it's it's almost like we're I mean,

2254
01:55:05,960 --> 01:55:07,560
Speaker 1: we set it up in a situation. It's almost like

2255
01:55:07,640 --> 01:55:10,120
Speaker 1: you have one bad relationship and then you decide you're lesbian,

2256
01:55:10,160 --> 01:55:11,360
Speaker 1: you know what I mean. Like that's kind of what's

2257
01:55:11,360 --> 01:55:13,160
Speaker 1: happened here. It's like, but it's so bad and it's

2258
01:55:13,200 --> 01:55:15,320
Speaker 1: so abusive, You're like, no, I've done with men. So

2259
01:55:15,440 --> 01:55:17,560
Speaker 1: that's like what I feel like the voice of veganism

2260
01:55:17,680 --> 01:55:19,680
Speaker 1: right now is and I kind of get it, you know,

2261
01:55:19,760 --> 01:55:22,839
Speaker 1: I I see that, and it's it's an emotional response.

2262
01:55:22,920 --> 01:55:25,680
Speaker 1: It's an emotional response, and it has to do with how,

2263
01:55:26,320 --> 01:55:29,600
Speaker 1: you know, how how bad the system is and and

2264
01:55:29,760 --> 01:55:33,400
Speaker 1: how tragic and they treatment of animals is, and how

2265
01:55:33,520 --> 01:55:35,840
Speaker 1: much empathy we feel for animals. And I also think,

2266
01:55:35,840 --> 01:55:39,040
Speaker 1: because many people are very lonely right now in society,

2267
01:55:39,360 --> 01:55:42,480
Speaker 1: we attend to overidentify with and over empathized with animals.

2268
01:55:42,600 --> 01:55:44,879
Speaker 1: I think it's kind of a cultural shift that's happened.

2269
01:55:45,240 --> 01:55:46,840
Speaker 1: You know, there's a lot of loneliness, there's a lot

2270
01:55:46,920 --> 01:55:48,840
Speaker 1: of like a lot of people without children but with

2271
01:55:49,160 --> 01:55:51,720
Speaker 1: dog dog moms and stuff out there, and and that's

2272
01:55:51,760 --> 01:55:54,800
Speaker 1: a beautiful sentiment, you know, but it's also you know,

2273
01:55:54,960 --> 01:55:57,920
Speaker 1: a little bit um, you know, confusing to me that

2274
01:55:58,120 --> 01:56:01,920
Speaker 1: you can, you know, the treatment anyways, that there's like

2275
01:56:02,120 --> 01:56:04,280
Speaker 1: these people are still feeding their animals, you know, typically

2276
01:56:04,520 --> 01:56:07,520
Speaker 1: dog food made from tortured animals. But you got there's

2277
01:56:07,720 --> 01:56:09,560
Speaker 1: there's some contrast in there. I don't that doesn't really

2278
01:56:09,720 --> 01:56:12,600
Speaker 1: you know, doesn't really call into doubt on anything. But

2279
01:56:12,640 --> 01:56:16,280
Speaker 1: I'm saying we tend to anthropomorphize an over emotionalized animals

2280
01:56:16,400 --> 01:56:18,000
Speaker 1: right now. In general. So that's part of the trend

2281
01:56:18,040 --> 01:56:19,960
Speaker 1: as well. So it's like we got this kind of

2282
01:56:20,200 --> 01:56:23,480
Speaker 1: you know, conflicted, little cocktail of things going on, and

2283
01:56:24,000 --> 01:56:27,440
Speaker 1: when that's all together, it creates a really dangerous level

2284
01:56:27,840 --> 01:56:31,360
Speaker 1: of of like emotionality around this issue, you know. And

2285
01:56:31,640 --> 01:56:33,600
Speaker 1: that's that's how we call it. It is it's it's

2286
01:56:33,600 --> 01:56:37,280
Speaker 1: an emotional issue, and it really shouldn't be, you know. Yeah,

2287
01:56:37,280 --> 01:56:39,760
Speaker 1: And and could it could be emotional if we didn't

2288
01:56:39,760 --> 01:56:42,840
Speaker 1: try to just simplify those emotions into like killing bad

2289
01:56:43,000 --> 01:56:47,280
Speaker 1: not killing good. Um, it could be if we were like, hey, listen,

2290
01:56:47,960 --> 01:56:51,400
Speaker 1: like you said earlier, it's not exactly a crazy notion

2291
01:56:51,520 --> 01:56:53,680
Speaker 1: to not want to go out and shoot an elk

2292
01:56:53,800 --> 01:56:57,720
Speaker 1: in the in the heart, you know, in the modern sense. Listen,

2293
01:56:57,800 --> 01:57:00,360
Speaker 1: I have no desire to kill any animal, but I

2294
01:57:00,520 --> 01:57:03,840
Speaker 1: know that for my health it's crucial that I eat animals, right,

2295
01:57:03,960 --> 01:57:06,480
Speaker 1: so they don't have to be one and the same. Um.

2296
01:57:06,560 --> 01:57:08,240
Speaker 1: And I also think too, you know, speaking of health,

2297
01:57:08,320 --> 01:57:10,160
Speaker 1: and for women too, it's like all these major like

2298
01:57:10,280 --> 01:57:12,800
Speaker 1: fertility issues means women who can't get pregnant and they're

2299
01:57:12,840 --> 01:57:15,120
Speaker 1: like late twenties and thirties, and a lot of that's

2300
01:57:15,120 --> 01:57:17,760
Speaker 1: related to the endocrine destructors of the pesticides and things.

2301
01:57:17,800 --> 01:57:19,480
Speaker 1: But a lot of it that we're not eating healthy

2302
01:57:19,520 --> 01:57:22,000
Speaker 1: meat and enough meat. You know. It's one kind of

2303
01:57:22,120 --> 01:57:24,840
Speaker 1: crazy statistic that I've seen. Um. This is from a

2304
01:57:24,880 --> 01:57:27,440
Speaker 1: guy out of UC Santa Barbara, is that you know,

2305
01:57:27,520 --> 01:57:31,840
Speaker 1: the the performance on santitized i Q tests UM in

2306
01:57:32,280 --> 01:57:34,840
Speaker 1: the study. I think it's like sixty different countries. It's

2307
01:57:34,880 --> 01:57:39,200
Speaker 1: more highly correlated to your the mother's bioavailability of healthy

2308
01:57:39,240 --> 01:57:41,800
Speaker 1: animal proteins in her diet than it is to the

2309
01:57:41,920 --> 01:57:48,920
Speaker 1: country economic index. Okay, so Ethiopia versus Sweden is important,

2310
01:57:49,360 --> 01:57:53,920
Speaker 1: but not as important as is mom eating meat. Like,

2311
01:57:54,120 --> 01:57:59,480
Speaker 1: think about that, Think about that. Why isn't that statistic

2312
01:57:59,520 --> 01:58:03,280
Speaker 1: getting lolling up everywhere? You'll have to excuse me, I

2313
01:58:03,400 --> 01:58:08,920
Speaker 1: have PTSD from all to think about that political ads that. Yeah, sorry, sorry,

2314
01:58:08,960 --> 01:58:10,680
Speaker 1: but it's like that to me is like you let

2315
01:58:10,720 --> 01:58:12,600
Speaker 1: that sit it. It's like you want a Brady kid.

2316
01:58:13,480 --> 01:58:15,720
Speaker 1: It's more important, Like I mean, I'm saying it's more

2317
01:58:15,760 --> 01:58:19,200
Speaker 1: important than like water Mala versus USA. Are you eating

2318
01:58:19,240 --> 01:58:23,000
Speaker 1: healthy animal protein or not? But that's huge, right, And

2319
01:58:23,280 --> 01:58:25,480
Speaker 1: and also I just think the fertility. You know, when

2320
01:58:25,600 --> 01:58:28,040
Speaker 1: we when as women. When we get pregnant and carry

2321
01:58:28,080 --> 01:58:30,800
Speaker 1: a baby, you know, the bones of the baby start

2322
01:58:30,840 --> 01:58:35,040
Speaker 1: out as a collagen matrix and then that calcifies. You know,

2323
01:58:35,160 --> 01:58:37,560
Speaker 1: it's collagen. We get the collagen from our bodies and

2324
01:58:37,760 --> 01:58:40,400
Speaker 1: then it gets replenished by animal collagen. You know, like

2325
01:58:40,520 --> 01:58:43,480
Speaker 1: this is these are this isn't just like apologics. This

2326
01:58:43,600 --> 01:58:46,960
Speaker 1: is science. And and you know for females that eat

2327
01:58:47,040 --> 01:58:51,080
Speaker 1: meat in early childhood and then cut out meat prepubescence, right,

2328
01:58:51,680 --> 01:58:54,320
Speaker 1: they when they bear children later in life, there will

2329
01:58:54,360 --> 01:58:57,320
Speaker 1: be essential amino acids that they give to their fetuses

2330
01:58:58,080 --> 01:59:01,720
Speaker 1: that they've been carrying their bodies for sometimes upwards of

2331
01:59:01,800 --> 01:59:06,040
Speaker 1: two decades in anticipation of childbearing childbearing. That's how important.

2332
01:59:06,080 --> 01:59:08,240
Speaker 1: Whereas women who never have eaten meat in their entire

2333
01:59:08,360 --> 01:59:11,400
Speaker 1: lives don't pass those essential immuo acids onto the babies.

2334
01:59:11,880 --> 01:59:14,840
Speaker 1: Like that's how important is evolutionarily for women to eat meat,

2335
01:59:15,200 --> 01:59:17,160
Speaker 1: you know. So it's because there's so many females who

2336
01:59:17,200 --> 01:59:19,000
Speaker 1: are vegans out and like, oh my god, you're just

2337
01:59:19,120 --> 01:59:21,680
Speaker 1: like you're doing a disservice to your body and to

2338
01:59:22,040 --> 01:59:25,720
Speaker 1: to your to your children. Yeah, you look at vitamin

2339
01:59:25,800 --> 01:59:28,520
Speaker 1: B twelve and be six and ribel flavor and all

2340
01:59:28,600 --> 01:59:30,800
Speaker 1: like all the b complex vitamins that are in there,

2341
01:59:30,800 --> 01:59:34,120
Speaker 1: and just starting to look around at the science of

2342
01:59:34,240 --> 01:59:37,880
Speaker 1: meat and the sources of some of the complex vitamins

2343
01:59:37,960 --> 01:59:41,200
Speaker 1: that we need. It's like, man, this is important. Way

2344
01:59:41,200 --> 01:59:44,320
Speaker 1: I had. Uh guy has been on this podcast and

2345
01:59:45,520 --> 01:59:48,160
Speaker 1: um that I've known from the hunting industry who was

2346
01:59:48,280 --> 01:59:51,000
Speaker 1: dehydrating elk liver, grinding it up and put it into

2347
01:59:51,040 --> 01:59:55,480
Speaker 1: tablets and taking it into tablets form um. I'm like, man,

2348
01:59:55,520 --> 01:59:58,760
Speaker 1: you're an innovator. That's awesome. I never thought to do that.

2349
01:59:59,280 --> 02:00:01,560
Speaker 1: But again to point about hunters, I'm like, I'm probably

2350
02:00:01,600 --> 02:00:04,840
Speaker 1: gonna do that now because I want everything from this

2351
02:00:04,920 --> 02:00:07,640
Speaker 1: animal that I can get, and I know that that wolves,

2352
02:00:07,960 --> 02:00:12,320
Speaker 1: uh and other predators devour the liver sometimes first they're

2353
02:00:12,360 --> 02:00:15,800
Speaker 1: like five six pounds right, Yeah they're huge. Yeah yeah,

2354
02:00:15,800 --> 02:00:18,160
Speaker 1: at least five or six pounds. Yeah yeah, I think

2355
02:00:18,240 --> 02:00:20,800
Speaker 1: maybe even like ten pounds, right, because I think a

2356
02:00:20,840 --> 02:00:23,600
Speaker 1: cow levers is about six or seven pounds, so must

2357
02:00:23,600 --> 02:00:25,440
Speaker 1: be bigger than they're huge. Yeah. There he's I don't

2358
02:00:25,440 --> 02:00:27,760
Speaker 1: know weight wise, but when you pick one up, you're like, man,

2359
02:00:27,800 --> 02:00:30,320
Speaker 1: this is substantial. Same thing with an elk hard you think, man,

2360
02:00:30,360 --> 02:00:32,880
Speaker 1: I could get you know, I could get about six

2361
02:00:33,120 --> 02:00:35,560
Speaker 1: pahita meals off this thing. This is how I think

2362
02:00:35,600 --> 02:00:38,280
Speaker 1: about it anymore. But you know, those types of things

2363
02:00:38,320 --> 02:00:42,320
Speaker 1: are are very transformative in terms of how we think

2364
02:00:42,320 --> 02:00:45,800
Speaker 1: about these things and how we value. So, UM yeah,

2365
02:00:45,880 --> 02:00:49,560
Speaker 1: I think it's huge, and um audio will wrap it

2366
02:00:49,640 --> 02:00:51,080
Speaker 1: up here. We could probably go for another couple of

2367
02:00:51,120 --> 02:00:54,320
Speaker 1: hours talking about how to cook this stuff we gotta

2368
02:00:54,320 --> 02:00:59,280
Speaker 1: do talk about We do even more opinions about that

2369
02:00:59,320 --> 02:01:01,560
Speaker 1: than I do about generative. Well, I know that you

2370
02:01:02,360 --> 02:01:04,960
Speaker 1: cook some elk for Somebody told me that you cook

2371
02:01:05,000 --> 02:01:07,240
Speaker 1: some elk for Donald Trump Jr. At some point recently,

2372
02:01:07,320 --> 02:01:10,640
Speaker 1: I actually got meat from an elkkey shot. I worked

2373
02:01:10,680 --> 02:01:13,840
Speaker 1: at the journal called Field Ethos. You know that journal. Yeah,

2374
02:01:13,880 --> 02:01:16,000
Speaker 1: I do. I do. They're they're awesome guys, and so

2375
02:01:16,120 --> 02:01:18,200
Speaker 1: I do a bit of culinary content for them in

2376
02:01:18,320 --> 02:01:22,480
Speaker 1: exchange for them sending new game. That's a good That's

2377
02:01:22,520 --> 02:01:24,880
Speaker 1: a perfect exchange. I feel like we could probably work

2378
02:01:25,000 --> 02:01:28,840
Speaker 1: that out here. Yeah, we got lots of We got

2379
02:01:28,880 --> 02:01:31,280
Speaker 1: Mountain Goat, we got Mountain Lion, we got moves, we

2380
02:01:31,400 --> 02:01:34,160
Speaker 1: all kinds of stuff on the Mediator team. We wouldn't

2381
02:01:34,160 --> 02:01:37,360
Speaker 1: be mediator. Without that, I'll do I'll make you guys,

2382
02:01:37,360 --> 02:01:39,680
Speaker 1: sausage is a new problem. But yeah, so I did um.

2383
02:01:39,800 --> 02:01:43,320
Speaker 1: I really enjoyed cooking that, and I've gotten since working

2384
02:01:43,400 --> 02:01:45,800
Speaker 1: with them into a loop. You know, it's cool for

2385
02:01:45,880 --> 02:01:47,800
Speaker 1: me because you know, grasp and finished meat, like we

2386
02:01:47,920 --> 02:01:51,240
Speaker 1: raised about camp is really similar culinarily to shelk and

2387
02:01:51,320 --> 02:01:53,400
Speaker 1: all the wild game. So I suspected that, but being

2388
02:01:53,440 --> 02:01:56,040
Speaker 1: able to play with product that they've been given me

2389
02:01:56,160 --> 02:01:58,320
Speaker 1: has been really reinforced that. So I've had a lot

2390
02:01:58,360 --> 02:02:01,840
Speaker 1: of fun developing cities and working with that probauct just

2391
02:02:02,000 --> 02:02:03,880
Speaker 1: like I mean, I love cooking meat and learning from it.

2392
02:02:03,960 --> 02:02:06,880
Speaker 1: So it's been red. Yeah, well we'll have the next time.

2393
02:02:06,880 --> 02:02:08,840
Speaker 1: I'll have to get into that. And like how you

2394
02:02:08,960 --> 02:02:13,560
Speaker 1: feel grass fed and grass fed be an, elk similar dissimilar?

2395
02:02:13,640 --> 02:02:15,520
Speaker 1: All that stuff, Well screwl we still got we had

2396
02:02:15,560 --> 02:02:20,960
Speaker 1: the time clocked elk and and grass fed beef similar dissimilar?

2397
02:02:21,040 --> 02:02:24,160
Speaker 1: Where where you fall? I think they're similar if you

2398
02:02:24,240 --> 02:02:27,600
Speaker 1: get a full finished grass fed animals, so longer term

2399
02:02:27,720 --> 02:02:30,120
Speaker 1: on grass you're gonna get more that kind of like that,

2400
02:02:30,360 --> 02:02:34,600
Speaker 1: that the consistency of the beef, you know, the elk

2401
02:02:34,760 --> 02:02:37,120
Speaker 1: is more slow growing even than beef. Because keep in

2402
02:02:37,160 --> 02:02:41,400
Speaker 1: mind that elk have natural lean seasons as well. Right,

2403
02:02:41,520 --> 02:02:44,000
Speaker 1: So in an elk that you're that you're shooting is

2404
02:02:44,040 --> 02:02:48,920
Speaker 1: probably minimum like four years old by years old, right, Yeah,

2405
02:02:49,040 --> 02:02:51,800
Speaker 1: so they they're whereas you know, beef are gonna like

2406
02:02:51,920 --> 02:02:54,000
Speaker 1: our beef. We we saw her at twenty six months.

2407
02:02:54,040 --> 02:02:56,880
Speaker 1: So as a result, they're going to have more muscle,

2408
02:02:56,920 --> 02:02:58,960
Speaker 1: fiber is going to be lean and dense. The other

2409
02:02:59,040 --> 02:03:01,880
Speaker 1: thing is, you know, elk are eating very you know,

2410
02:03:02,800 --> 02:03:07,400
Speaker 1: grassbed beef that's finished on on pasture. It's being taken

2411
02:03:07,480 --> 02:03:09,800
Speaker 1: to pastures that are high bricks and high sugar content,

2412
02:03:09,920 --> 02:03:12,840
Speaker 1: so very mature grass towards the end of its life

2413
02:03:13,280 --> 02:03:16,000
Speaker 1: and elk not so much. Right, You're gonna have more

2414
02:03:16,080 --> 02:03:19,120
Speaker 1: exercise and slightly less sugar naturally in the in the

2415
02:03:19,240 --> 02:03:21,720
Speaker 1: grass that they're eating because of the seasonality of it.

2416
02:03:22,080 --> 02:03:25,440
Speaker 1: So because of that, you have even less intramuscular fat.

2417
02:03:26,400 --> 02:03:29,760
Speaker 1: So from a cooking perspective, what I think biggest tip

2418
02:03:29,920 --> 02:03:32,840
Speaker 1: for me is to get your hands on some beef

2419
02:03:33,120 --> 02:03:37,160
Speaker 1: tallow um to cook elkin. That's been something that's really transformative,

2420
02:03:37,200 --> 02:03:38,840
Speaker 1: I think, is to just you can just use a

2421
02:03:38,880 --> 02:03:41,400
Speaker 1: piece of fat from like a Ribby or New York

2422
02:03:41,480 --> 02:03:43,680
Speaker 1: keeping the freezer and use that on a hot pan

2423
02:03:43,920 --> 02:03:47,080
Speaker 1: to render it um and then then cook the elkin

2424
02:03:47,160 --> 02:03:49,360
Speaker 1: that fat. So it's a very biosimilar fat that the

2425
02:03:49,400 --> 02:03:52,920
Speaker 1: flavors are really complimentary. Um, and you know that I

2426
02:03:53,040 --> 02:03:55,960
Speaker 1: think elk is magnificent cooked to like a medium were

2427
02:03:57,240 --> 02:03:59,320
Speaker 1: that's my favorite way to do it. I love it

2428
02:03:59,520 --> 02:04:02,520
Speaker 1: as well, um, just with I love finishing it with

2429
02:04:02,600 --> 02:04:05,360
Speaker 1: olive oil, like a good amount of olive oil and

2430
02:04:05,720 --> 02:04:08,760
Speaker 1: like really high quality extra virgin oil and some good

2431
02:04:08,840 --> 02:04:11,640
Speaker 1: flaky salt. And that's kind of it. You know, it's

2432
02:04:11,680 --> 02:04:14,520
Speaker 1: got such like a mushroom and complex flavor, like I

2433
02:04:14,560 --> 02:04:17,040
Speaker 1: can finish it with like chitaky or you know, some

2434
02:04:17,280 --> 02:04:19,880
Speaker 1: like a mushroom kind of glaze. I'll do occasionally, but

2435
02:04:19,960 --> 02:04:22,080
Speaker 1: I'm not a big fan of rubs and things because

2436
02:04:22,080 --> 02:04:25,480
Speaker 1: I really find it's it's just so complex and interesting

2437
02:04:25,520 --> 02:04:28,000
Speaker 1: and delicious. If I am going to use any rubs

2438
02:04:28,120 --> 02:04:30,880
Speaker 1: or sauces on it, it's gonna be a sugar free,

2439
02:04:31,000 --> 02:04:33,440
Speaker 1: gonna be vegetable based, you mean, like a chimmy churry,

2440
02:04:33,600 --> 02:04:37,160
Speaker 1: so partially lemon olive oil, straight olive oil. Um, like

2441
02:04:37,280 --> 02:04:39,760
Speaker 1: a chopped herbs and a little bit of lemon peel.

2442
02:04:39,760 --> 02:04:42,120
Speaker 1: So it's gonna be very kind of vegetable, acidic and

2443
02:04:42,240 --> 02:04:44,760
Speaker 1: bright or mushroom. I'm not gonna want to do anything

2444
02:04:44,800 --> 02:04:47,440
Speaker 1: that's like soy or sugar based, mostly for nutritional reasons,

2445
02:04:47,480 --> 02:04:49,920
Speaker 1: but also because I think the kind of the natural

2446
02:04:50,000 --> 02:04:52,320
Speaker 1: flavor palette of the elk is that like what you

2447
02:04:52,400 --> 02:04:54,640
Speaker 1: get in the best grass fed meat, which is I

2448
02:04:54,800 --> 02:04:56,960
Speaker 1: describe it as like the feeling, you know, the smell

2449
02:04:57,040 --> 02:05:00,200
Speaker 1: when you walk through a forest in the fall, right,

2450
02:05:00,560 --> 02:05:03,360
Speaker 1: it smells like kind of vegel. It's like compost, but delicious,

2451
02:05:03,480 --> 02:05:07,440
Speaker 1: like kind of mushroom, vegetable clean, like that kind of

2452
02:05:07,520 --> 02:05:11,080
Speaker 1: like decayne pine cone and pine needle smell. That's the

2453
02:05:11,160 --> 02:05:13,760
Speaker 1: way that excellent clean elk smells. That's the way the

2454
02:05:13,800 --> 02:05:15,720
Speaker 1: best grass fed need smells too, And that has to

2455
02:05:15,800 --> 02:05:18,200
Speaker 1: do with diverse diets, right. So like to build on

2456
02:05:18,280 --> 02:05:20,000
Speaker 1: that flavor palate, I think if you cover it with

2457
02:05:20,120 --> 02:05:22,800
Speaker 1: like karayaki, you're gonna you're gonna just blanket that. So

2458
02:05:22,880 --> 02:05:25,480
Speaker 1: you gotta find some things that like elevate that little

2459
02:05:25,640 --> 02:05:29,000
Speaker 1: unique kind of mushroom deep uh kind of it's like

2460
02:05:29,040 --> 02:05:32,520
Speaker 1: an new mommy sent um and build that up. Yeah,

2461
02:05:32,680 --> 02:05:36,080
Speaker 1: and I started to you know this, this really came

2462
02:05:36,120 --> 02:05:39,200
Speaker 1: from my wife and being her becoming a critic of

2463
02:05:39,520 --> 02:05:41,600
Speaker 1: wild game where I killed it, what it tastes like,

2464
02:05:41,720 --> 02:05:44,720
Speaker 1: the flavor profile, and starting to kind of see what

2465
02:05:44,800 --> 02:05:47,000
Speaker 1: a mule deer that lived on a sage flat tastes like,

2466
02:05:47,160 --> 02:05:49,320
Speaker 1: as opposed to what an elk that lives up here

2467
02:05:49,800 --> 02:05:52,280
Speaker 1: in the in the mountains of Montana might taste like

2468
02:05:52,440 --> 02:05:55,760
Speaker 1: to a corn fed literally corn and soybean fed whitetail

2469
02:05:55,880 --> 02:06:00,200
Speaker 1: from um Iowa might taste like. Do you and in

2470
02:06:00,360 --> 02:06:03,600
Speaker 1: your line of work, I've always kind of guest and positive.

2471
02:06:03,640 --> 02:06:07,520
Speaker 1: I've never really tested this on anybody. H that gam

2472
02:06:07,680 --> 02:06:11,200
Speaker 1: nous is is. People will say it's basic beause a

2473
02:06:11,240 --> 02:06:14,080
Speaker 1: lot of hunters don't know how to treat the meat. Yes, yes, sure,

2474
02:06:14,240 --> 02:06:17,600
Speaker 1: that's you know, there's millions of hunters that aren't professional butcher's.

2475
02:06:17,960 --> 02:06:19,600
Speaker 1: That's I'm sure part of it. But I think a

2476
02:06:19,720 --> 02:06:22,400
Speaker 1: larger part of it is the flavor profile of corn

2477
02:06:22,640 --> 02:06:25,680
Speaker 1: and grain that we're used to in our meats. Do

2478
02:06:25,760 --> 02:06:29,600
Speaker 1: you feel like that's something that contributes heavily to when

2479
02:06:29,760 --> 02:06:33,360
Speaker 1: somebody tastes or cooks up a piece of venison for

2480
02:06:33,440 --> 02:06:35,520
Speaker 1: the first time or taste it at a friend's house

2481
02:06:35,600 --> 02:06:38,480
Speaker 1: that they they always note this kind of game equality.

2482
02:06:38,520 --> 02:06:41,760
Speaker 1: I think game equality just means it wasn't corn and

2483
02:06:41,960 --> 02:06:46,840
Speaker 1: grain fed. Well, I'll say, in my experience, harvest and

2484
02:06:46,920 --> 02:06:51,680
Speaker 1: post harvest handling is more important for gaming and livery

2485
02:06:51,720 --> 02:06:57,680
Speaker 1: flavors than diet um. And then I'd say, but almost

2486
02:06:57,720 --> 02:07:00,680
Speaker 1: at the same level. Um. That time in the life

2487
02:07:00,720 --> 02:07:03,360
Speaker 1: cycle is also very important. So in my experience with beef,

2488
02:07:04,120 --> 02:07:08,640
Speaker 1: gaming and livery flavors have to come come really from uh,

2489
02:07:09,560 --> 02:07:13,640
Speaker 1: adolescent animals too, so younger animals, so that's part of it.

2490
02:07:13,720 --> 02:07:16,880
Speaker 1: Like in some of these livery gamey flavors and musky

2491
02:07:16,920 --> 02:07:19,240
Speaker 1: flavors of people case and grassbed beef and my experience

2492
02:07:19,280 --> 02:07:22,920
Speaker 1: are universally from animals that are like eighteen months of age,

2493
02:07:22,920 --> 02:07:26,840
Speaker 1: which for grassbed is mid puberty, whereas for corn fed,

2494
02:07:26,880 --> 02:07:30,040
Speaker 1: because they eat all that corn, they go through puberty

2495
02:07:30,080 --> 02:07:32,520
Speaker 1: faster and they get fat faster, but they're an adult

2496
02:07:32,600 --> 02:07:36,320
Speaker 1: faster sexually. Right, So there's a So you catch some

2497
02:07:36,440 --> 02:07:38,400
Speaker 1: mid pew vessons, they are a little they're a little

2498
02:07:38,640 --> 02:07:41,000
Speaker 1: you know, randy with the flavors there. The other thing

2499
02:07:41,080 --> 02:07:43,280
Speaker 1: to note is that you know cast you know, all

2500
02:07:43,840 --> 02:07:47,320
Speaker 1: beef in confinement and in free range operations like mine

2501
02:07:47,320 --> 02:07:51,840
Speaker 1: are are castrated, right, So all the secondary sexual pheromonal

2502
02:07:52,120 --> 02:07:56,080
Speaker 1: activity is a really important part of that too. So

2503
02:07:56,440 --> 02:07:58,720
Speaker 1: if you're hunting males or females, I mean there's just

2504
02:07:58,800 --> 02:08:01,560
Speaker 1: way more pheromonally going on with wild animals, and there

2505
02:08:01,600 --> 02:08:03,320
Speaker 1: ever is going to be in the confinement animals because

2506
02:08:03,360 --> 02:08:08,440
Speaker 1: they are naturally constantly pursuing mates and that's all pheromonal

2507
02:08:08,720 --> 02:08:12,480
Speaker 1: in that pheromone is what is musk. Yeah, and they

2508
02:08:12,520 --> 02:08:14,360
Speaker 1: had a lot, so I guess you're saying they get

2509
02:08:14,360 --> 02:08:16,680
Speaker 1: a lot going against them in terms of stacking up

2510
02:08:16,720 --> 02:08:18,920
Speaker 1: against what folks are used to take. It seems a

2511
02:08:18,960 --> 02:08:20,560
Speaker 1: little bit like a luck of the draw to Ben,

2512
02:08:20,760 --> 02:08:22,600
Speaker 1: like I I chaste a game that's off the charts,

2513
02:08:22,640 --> 02:08:25,480
Speaker 1: gave me from excellent hunters, and I chased super clean stuff.

2514
02:08:25,480 --> 02:08:27,080
Speaker 1: And I think it's probably like was he like chasing

2515
02:08:27,080 --> 02:08:30,320
Speaker 1: after a lady yesterday or no? You know, like there's

2516
02:08:30,360 --> 02:08:33,120
Speaker 1: probably just timing issues that are really beyond your control.

2517
02:08:33,600 --> 02:08:35,320
Speaker 1: So then the question is like how do you manage

2518
02:08:35,360 --> 02:08:37,680
Speaker 1: for that? Um and as a cook, So if I

2519
02:08:37,880 --> 02:08:40,760
Speaker 1: was to land a really gamey animal. I'm gonna be

2520
02:08:40,960 --> 02:08:43,240
Speaker 1: just handling it differently in terms of how I cook

2521
02:08:43,280 --> 02:08:44,880
Speaker 1: it and the way I do it. Is I tend

2522
02:08:44,960 --> 02:08:47,080
Speaker 1: to cook that meat a little Can I ask you

2523
02:08:47,120 --> 02:08:49,760
Speaker 1: a question? Would you age? How would you deal with

2524
02:08:49,960 --> 02:08:52,800
Speaker 1: aging in that context? You know, if you get an animal,

2525
02:08:53,080 --> 02:08:54,840
Speaker 1: you know that was running, are you gonna age it

2526
02:08:54,880 --> 02:08:56,600
Speaker 1: a little bit more? Are you gonna let it hang

2527
02:08:56,680 --> 02:09:00,120
Speaker 1: in the garage for a couple more weeks? Is it's

2528
02:09:00,160 --> 02:09:02,400
Speaker 1: something that would combat some of those things? Absolutely not.

2529
02:09:02,640 --> 02:09:06,880
Speaker 1: I mean, based on my experience in beef aging, it

2530
02:09:07,040 --> 02:09:11,120
Speaker 1: enhances everything good and bad. So you know, they they

2531
02:09:11,760 --> 02:09:13,480
Speaker 1: and this may be something this may be my learning

2532
02:09:13,520 --> 02:09:15,200
Speaker 1: curve and I may get jumped on by your by

2533
02:09:15,240 --> 02:09:17,840
Speaker 1: your listeners on this one, but my experience like the

2534
02:09:18,440 --> 02:09:22,560
Speaker 1: better the meat that's more um, that's very mild but

2535
02:09:22,680 --> 02:09:26,400
Speaker 1: with some subtle complexity, ages very well. UM meat that

2536
02:09:26,560 --> 02:09:28,800
Speaker 1: is starts out with a pronounced flavor. The aging is

2537
02:09:28,840 --> 02:09:32,480
Speaker 1: just going to simply make that more pronounced and unbalanced um.

2538
02:09:32,640 --> 02:09:35,800
Speaker 1: And then additionally, you know, there may be some benefits

2539
02:09:35,840 --> 02:09:38,680
Speaker 1: and may become more mild over time. And there's certainly

2540
02:09:38,800 --> 02:09:43,080
Speaker 1: though in my experience with game, when you're aging much

2541
02:09:43,120 --> 02:09:44,840
Speaker 1: of it. It has to do with the just natural

2542
02:09:44,880 --> 02:09:46,920
Speaker 1: breakdown to make it more tender. So I would think

2543
02:09:46,960 --> 02:09:49,000
Speaker 1: that has more to do with like animals that are

2544
02:09:49,120 --> 02:09:52,480
Speaker 1: going to just be extremely extremely athletic or extreme ands

2545
02:09:52,480 --> 02:09:55,280
Speaker 1: you lean at that point, the the benefits of the

2546
02:09:55,640 --> 02:09:59,360
Speaker 1: of the enzymatic breakdown of the protein structure may trump

2547
02:09:59,480 --> 02:10:02,480
Speaker 1: the increas east kind of complexity of flavor that comes

2548
02:10:02,520 --> 02:10:05,880
Speaker 1: from that, right, and that trade off. Yeah, that's what one.

2549
02:10:06,400 --> 02:10:08,600
Speaker 1: I like the way you articulated that because I agree

2550
02:10:08,640 --> 02:10:11,120
Speaker 1: with it. Um. I certainly have. I've aged a lot

2551
02:10:11,200 --> 02:10:14,920
Speaker 1: of game for a long time months on end um,

2552
02:10:15,440 --> 02:10:18,120
Speaker 1: but I've gotten the best results with with animals like

2553
02:10:18,160 --> 02:10:23,720
Speaker 1: access to her, which have a mild but really flavorful profile. UM.

2554
02:10:24,040 --> 02:10:26,440
Speaker 1: A lot of people will say, of all the venice

2555
02:10:26,520 --> 02:10:30,560
Speaker 1: and access to here's the best UM. Partially in this case,

2556
02:10:30,640 --> 02:10:32,880
Speaker 1: I killed him in Hawaii, so it was the travel

2557
02:10:33,000 --> 02:10:35,440
Speaker 1: time plus where they lived and what they ate. I

2558
02:10:35,520 --> 02:10:37,240
Speaker 1: mean the island of le and I where I was

2559
02:10:37,360 --> 02:10:40,520
Speaker 1: is basically a botanical garden. Um and the bi diversity

2560
02:10:40,520 --> 02:10:43,920
Speaker 1: of their diet and everything. I think, really and then

2561
02:10:44,000 --> 02:10:46,040
Speaker 1: you tend to you tend to take a lot better

2562
02:10:46,080 --> 02:10:47,800
Speaker 1: care of something when you're traveling on a plane with

2563
02:10:47,920 --> 02:10:50,800
Speaker 1: it um and and so I think all of that

2564
02:10:51,280 --> 02:10:53,680
Speaker 1: led me to butcher to do more aging with with

2565
02:10:53,880 --> 02:10:56,240
Speaker 1: access to here and get a way better result in

2566
02:10:56,360 --> 02:10:59,560
Speaker 1: terms of flavor and tenderness. But then I did a

2567
02:10:59,640 --> 02:11:01,760
Speaker 1: few of the US with Texas white tails and didn't

2568
02:11:01,800 --> 02:11:04,840
Speaker 1: have as good a result exactly. So, well, you know,

2569
02:11:04,920 --> 02:11:07,160
Speaker 1: it's like everything people think too. It's like and lots

2570
02:11:07,200 --> 02:11:10,040
Speaker 1: of different Like if you have a cheese that tastes funky,

2571
02:11:10,160 --> 02:11:12,480
Speaker 1: back to my cheesemaking, you can't if you age, it

2572
02:11:12,640 --> 02:11:14,800
Speaker 1: just gets spunk here. You know. If you make jam,

2573
02:11:14,920 --> 02:11:16,760
Speaker 1: people think, oh, you can make jam out of Bruistreet.

2574
02:11:16,760 --> 02:11:19,000
Speaker 1: Actually jam out of Breustreet. We'll just have like a funky,

2575
02:11:19,120 --> 02:11:21,360
Speaker 1: musty flavor forever, you know. So it's like it just

2576
02:11:21,520 --> 02:11:25,720
Speaker 1: enhances everything. The base materials are become the end result, right,

2577
02:11:25,800 --> 02:11:32,280
Speaker 1: So it just enhances everything is already in it. On

2578
02:11:32,360 --> 02:11:35,480
Speaker 1: the cooking techniques for gaminess, I would say go more

2579
02:11:35,560 --> 02:11:38,000
Speaker 1: to medium than a medium rare because the combination of

2580
02:11:38,120 --> 02:11:40,800
Speaker 1: gaminess and the and the clammy texture can be really

2581
02:11:40,840 --> 02:11:43,600
Speaker 1: off putting. You know, slightly gooey texture that you get

2582
02:11:43,640 --> 02:11:45,880
Speaker 1: from rare meat and then I would do it really

2583
02:11:46,000 --> 02:11:48,960
Speaker 1: thin against the grain and and really use it like

2584
02:11:49,120 --> 02:11:53,280
Speaker 1: in an after cooking marinade that's heavy on acid. Um.

2585
02:11:53,400 --> 02:11:54,680
Speaker 1: So there's some you know, you can do like an

2586
02:11:54,800 --> 02:11:57,000
Speaker 1: escaveta direction with it. You could did go. I do

2587
02:11:57,080 --> 02:12:00,080
Speaker 1: a lot of things with like sliced whole lemon partly

2588
02:12:00,200 --> 02:12:02,880
Speaker 1: in olive oil. So if you're adding more that is

2589
02:12:02,960 --> 02:12:06,960
Speaker 1: to it, it's going to counteract that gaminess. Yeah, we've

2590
02:12:07,040 --> 02:12:09,760
Speaker 1: we've I have a commercial slicer at the house now

2591
02:12:09,840 --> 02:12:11,840
Speaker 1: and that's we you know, I'll do a lot of

2592
02:12:12,080 --> 02:12:14,800
Speaker 1: of some of the tougher cuts, whether it's a flank

2593
02:12:15,120 --> 02:12:18,680
Speaker 1: or you know, even a bottom or top round. Some

2594
02:12:18,800 --> 02:12:20,600
Speaker 1: of these cuts off an elk or a moose or

2595
02:12:20,600 --> 02:12:24,360
Speaker 1: a mule deer that traditionally might have made steaks like

2596
02:12:24,680 --> 02:12:27,960
Speaker 1: thinner cut steaks. I might have sometimes I would have

2597
02:12:28,000 --> 02:12:30,240
Speaker 1: ground them. Other times I would have used them as roast.

2598
02:12:30,800 --> 02:12:35,640
Speaker 1: Now I smoke them on a pellet grill, slowly smoked

2599
02:12:35,680 --> 02:12:38,000
Speaker 1: them on a pellet grill with with a nice rub

2600
02:12:38,080 --> 02:12:42,000
Speaker 1: of some kind, and then slice them thin on, you know,

2601
02:12:42,320 --> 02:12:45,320
Speaker 1: really thin like sandwich meat thin. And my family loves

2602
02:12:45,360 --> 02:12:48,760
Speaker 1: them and so like that treatment. And I I should

2603
02:12:48,760 --> 02:12:51,880
Speaker 1: also say reverse searing them as well and some tallow

2604
02:12:51,960 --> 02:12:55,240
Speaker 1: or some olive oil or something, and um, my family

2605
02:12:55,320 --> 02:12:58,120
Speaker 1: loves it. And it kind of transforms every type of

2606
02:12:58,440 --> 02:13:01,280
Speaker 1: muscle group on an elk or deer into something that

2607
02:13:01,280 --> 02:13:03,680
Speaker 1: I can I can give that treatment to even the

2608
02:13:03,840 --> 02:13:07,200
Speaker 1: eye have round or a surloing tip is a good example. Well,

2609
02:13:07,320 --> 02:13:10,120
Speaker 1: you know, you get like Asian cultures like in Vietnam

2610
02:13:10,200 --> 02:13:13,200
Speaker 1: will allow Southeast Asia there's all every cut of meat

2611
02:13:13,400 --> 02:13:15,840
Speaker 1: and they have a lot of very gamy buffalo. Right,

2612
02:13:16,160 --> 02:13:17,880
Speaker 1: there's no cuts of meat when you go to the

2613
02:13:18,040 --> 02:13:20,280
Speaker 1: meat shops there, it's like everything is basically just cut

2614
02:13:20,320 --> 02:13:24,280
Speaker 1: of the same size, cooked very well, and then slice

2615
02:13:24,320 --> 02:13:26,160
Speaker 1: really thin against the ring. You know, it's like the

2616
02:13:26,200 --> 02:13:29,040
Speaker 1: whole animal becomes that when you're dealing with that tough site.

2617
02:13:29,080 --> 02:13:31,800
Speaker 1: So that's a very and then the acid treatment afterwards

2618
02:13:31,960 --> 02:13:33,880
Speaker 1: it sounds like you're doing smoking, which is another way

2619
02:13:33,920 --> 02:13:36,720
Speaker 1: to soften and overcome because it's kind of two ways

2620
02:13:36,760 --> 02:13:39,520
Speaker 1: to approach muskiness. One is to overcome it with the

2621
02:13:39,560 --> 02:13:41,760
Speaker 1: flavor like smoke. You can do that, and then the

2622
02:13:41,800 --> 02:13:44,280
Speaker 1: other one is to complement it with a flavor, which

2623
02:13:44,320 --> 02:13:46,640
Speaker 1: is what acid will do. And then there's some combinations

2624
02:13:46,680 --> 02:13:48,080
Speaker 1: of both those that tends to be a little bit much.

2625
02:13:48,160 --> 02:13:51,160
Speaker 1: So like the combination of those one of the two

2626
02:13:51,280 --> 02:13:53,080
Speaker 1: is kind of which way you've got to choose one

2627
02:13:53,080 --> 02:13:56,640
Speaker 1: of those routes when you're when you're handling it culinarily afterwards.

2628
02:13:56,680 --> 02:13:58,400
Speaker 1: So you know, chili is an example of just like

2629
02:13:58,800 --> 02:14:01,640
Speaker 1: mask to flavor, cover it up right. And then the

2630
02:14:01,720 --> 02:14:03,840
Speaker 1: other style is like you know, cut it very very thin,

2631
02:14:04,240 --> 02:14:06,000
Speaker 1: add a bunch of different flavors to it, and make

2632
02:14:06,000 --> 02:14:08,160
Speaker 1: it into like a beef salad with herbs, etcetera. And

2633
02:14:08,240 --> 02:14:10,280
Speaker 1: then and then you can also you know, kind of

2634
02:14:10,440 --> 02:14:12,960
Speaker 1: enhance it and meet it with a with an equally

2635
02:14:13,000 --> 02:14:16,960
Speaker 1: strong and powerful and balanced flate. Well, those those are

2636
02:14:17,040 --> 02:14:20,800
Speaker 1: great foundational That's great foundational knowledge because I think from

2637
02:14:20,920 --> 02:14:23,919
Speaker 1: that you can do a lot of things. Um certainly

2638
02:14:24,120 --> 02:14:27,280
Speaker 1: for me it's been learning, you know, how to braise,

2639
02:14:27,920 --> 02:14:31,800
Speaker 1: like the elements of brazing. I've been brasing almost everything

2640
02:14:31,960 --> 02:14:35,760
Speaker 1: that I that I cook. Nowadays I'm addicted to it.

2641
02:14:36,120 --> 02:14:39,000
Speaker 1: And then for me it's so much collagen. You know,

2642
02:14:39,160 --> 02:14:41,360
Speaker 1: really nice thing about braising is you know when you

2643
02:14:41,680 --> 02:14:44,960
Speaker 1: when you digest, when you're just eating striated muscle, you know,

2644
02:14:45,080 --> 02:14:47,880
Speaker 1: you don't actually get all the nutrients that you could

2645
02:14:47,920 --> 02:14:50,040
Speaker 1: get out of that unless you're eating a lot of

2646
02:14:50,080 --> 02:14:55,680
Speaker 1: collagen as well, because collagen is is actually weight limiting

2647
02:14:55,760 --> 02:14:58,200
Speaker 1: and the digestion of like ludath ion from strided muscle.

2648
02:14:58,520 --> 02:15:00,240
Speaker 1: So if you a ton of strighted must and you

2649
02:15:00,280 --> 02:15:02,400
Speaker 1: don't have enough college and compliment that, you're actually not

2650
02:15:02,560 --> 02:15:05,879
Speaker 1: able to break down in fully and extract the nutritional

2651
02:15:06,000 --> 02:15:09,800
Speaker 1: load of that meat. So it's extremely helpful. Kind of

2652
02:15:09,880 --> 02:15:11,480
Speaker 1: It's like it's a piece that you think, that's why

2653
02:15:11,560 --> 02:15:13,600
Speaker 1: brazen meats. I try to eat like half of my

2654
02:15:13,720 --> 02:15:15,760
Speaker 1: meat is brazed, even though it's tempting to just always

2655
02:15:15,760 --> 02:15:17,920
Speaker 1: stick to the you know, the hamburgers and stuff. Um,

2656
02:15:18,360 --> 02:15:20,560
Speaker 1: it's it's a way, I think, from the health perspective

2657
02:15:20,640 --> 02:15:22,720
Speaker 1: to really get a lot and more value out of

2658
02:15:22,800 --> 02:15:26,560
Speaker 1: your nutritional load from that meat. Yeah, and I'll tell

2659
02:15:26,560 --> 02:15:29,360
Speaker 1: you as we're talking through this, I really do. I

2660
02:15:29,480 --> 02:15:32,240
Speaker 1: think back and like when I'm doing good, when I'm

2661
02:15:32,280 --> 02:15:35,200
Speaker 1: feeling good about family life, work life, all the balance

2662
02:15:35,280 --> 02:15:38,160
Speaker 1: that entails, I cook more, and I do more creative things,

2663
02:15:38,440 --> 02:15:41,600
Speaker 1: and I do more things like that creative. Brazing isn't creative,

2664
02:15:41,640 --> 02:15:44,000
Speaker 1: but I do more things where I'm experimenting and I'm

2665
02:15:44,080 --> 02:15:47,680
Speaker 1: free and I'm having fun with cooking, and you know,

2666
02:15:47,760 --> 02:15:49,400
Speaker 1: meat's always the center point of what we do, so

2667
02:15:50,080 --> 02:15:52,240
Speaker 1: that's how it manifests. But you know, just as you

2668
02:15:52,320 --> 02:15:54,160
Speaker 1: were explaining that, for some reason, I started to think, like,

2669
02:15:54,240 --> 02:15:56,360
Speaker 1: you know what, man. You know, I've been cooking a

2670
02:15:56,440 --> 02:15:58,720
Speaker 1: good bit lately because I'm feeling good. But you know,

2671
02:15:58,720 --> 02:16:00,560
Speaker 1: I had a couple of months when the endemic was

2672
02:16:00,600 --> 02:16:02,800
Speaker 1: going on where I was like just annoyed at everything

2673
02:16:02,880 --> 02:16:04,760
Speaker 1: and I wasn't cooking as much. So I guess that

2674
02:16:04,840 --> 02:16:07,120
Speaker 1: goes back to the that emotional part of the day

2675
02:16:07,120 --> 02:16:13,120
Speaker 1: you're talking about earlier. Absolutely, it's it's it's that connection. Um, well,

2676
02:16:13,240 --> 02:16:15,120
Speaker 1: we're gonna have to get you some meat to to

2677
02:16:15,480 --> 02:16:19,360
Speaker 1: uh play right now. We got our crew is replete

2678
02:16:19,400 --> 02:16:21,720
Speaker 1: with every type of wild game I can think of.

2679
02:16:22,840 --> 02:16:24,840
Speaker 1: I'll do some content for you, just recip hell yeah,

2680
02:16:25,640 --> 02:16:29,040
Speaker 1: hell yeah. We'll check out. Well, well, where can people

2681
02:16:29,240 --> 02:16:31,320
Speaker 1: They can find you on Instagram, but you probably prefer

2682
02:16:31,440 --> 02:16:35,040
Speaker 1: Bell Campo or whereking people Bell Campo Metico on Instagram

2683
02:16:35,240 --> 02:16:38,240
Speaker 1: or Bellcampo dot com and then I am on your

2684
02:16:38,320 --> 02:16:40,360
Speaker 1: for no old So just at my name on your

2685
02:16:40,400 --> 02:16:42,480
Speaker 1: forl on Instagram. I do a lot of recipe content,

2686
02:16:43,040 --> 02:16:45,720
Speaker 1: and then at Bocampo it's really about regeneral farming, a

2687
02:16:45,800 --> 02:16:48,280
Speaker 1: lot of recipes, products, etcetera. And then if you want

2688
02:16:48,280 --> 02:16:51,440
Speaker 1: to buy the meat, it's all on bocampo dot com. Yeah,

2689
02:16:51,800 --> 02:16:53,800
Speaker 1: and it gets it. Do you guys do? What kind

2690
02:16:53,800 --> 02:16:56,039
Speaker 1: of delivery do you do? We do free shipping over

2691
02:16:56,160 --> 02:16:58,800
Speaker 1: a hundred dollars and our meat is actually one to

2692
02:16:58,920 --> 02:17:01,760
Speaker 1: one Omega three, the sixth ratio for our beef. We

2693
02:17:01,840 --> 02:17:04,680
Speaker 1: just got it again. We get it independently verified every year,

2694
02:17:05,240 --> 02:17:09,039
Speaker 1: and that means it's basically nutritionally the same as wild game,

2695
02:17:09,080 --> 02:17:10,720
Speaker 1: which has that one to one ratio. I'm gonna make

2696
02:17:10,760 --> 02:17:13,040
Speaker 1: it three to six is compared to conventional beef is

2697
02:17:13,520 --> 02:17:16,640
Speaker 1: one to thirty. So for every milligram of oh Maga

2698
02:17:16,760 --> 02:17:18,720
Speaker 1: three facts that you get, you get thirty if I

2699
02:17:18,760 --> 02:17:20,320
Speaker 1: make a sixes and Maga sixes are the ones you

2700
02:17:20,360 --> 02:17:22,680
Speaker 1: want to avoid. So, if you're looking for something that

2701
02:17:22,800 --> 02:17:25,240
Speaker 1: from a health perspective is pretty analogous to well game,

2702
02:17:25,400 --> 02:17:28,480
Speaker 1: we've got it beautiful. Well, that's a good place to

2703
02:17:28,560 --> 02:17:30,080
Speaker 1: end it. Although like I said, we could probably go

2704
02:17:30,160 --> 02:17:32,760
Speaker 1: for about five hours especially I want to get you

2705
02:17:32,840 --> 02:17:34,440
Speaker 1: at the farm to my friend, we got to get you.

2706
02:17:34,680 --> 02:17:37,800
Speaker 1: Let's go, let's go. Ok. Hell yeah, now that I've

2707
02:17:37,840 --> 02:17:41,640
Speaker 1: had COVID, I think I got the antibodies. I could

2708
02:17:41,680 --> 02:17:44,480
Speaker 1: do whatever I want. I know, come on out. Yeah,

2709
02:17:45,760 --> 02:17:47,720
Speaker 1: I appreciate it. Well, thank you Ann for coming on

2710
02:17:47,959 --> 02:17:49,520
Speaker 1: a lot of good stuff and here a lot of

2711
02:17:49,520 --> 02:17:53,960
Speaker 1: powerful stuff um in this couple of hours. So hopefully

2712
02:17:54,000 --> 02:17:55,720
Speaker 1: people will listen and listen again and we'll have you

2713
02:17:55,800 --> 02:17:58,039
Speaker 1: back on as soon as we can. Awesome, Thank you man.

2714
02:17:58,400 --> 02:18:10,480
Speaker 1: All right, thanks, that's it. That's all another episode of

2715
02:18:10,560 --> 02:18:13,960
Speaker 1: this year program in the books to be exact. Thank

2716
02:18:14,040 --> 02:18:18,080
Speaker 1: you to Anya, and also always thanks to all of

2717
02:18:18,200 --> 02:18:21,039
Speaker 1: you for sticking and staying with us. I just want

2718
02:18:21,080 --> 02:18:24,720
Speaker 1: to keep this one very brief, but hopefully you have

2719
02:18:24,800 --> 02:18:27,360
Speaker 1: a really good holiday, you have a really good Thanksgiving.

2720
02:18:28,120 --> 02:18:32,840
Speaker 1: UM as as update on my health and just to

2721
02:18:33,000 --> 02:18:34,160
Speaker 1: let you know, I've been talking to a lot of

2722
02:18:34,200 --> 02:18:37,480
Speaker 1: people about this lately. Everybody seems to want to know UM,

2723
02:18:37,760 --> 02:18:41,320
Speaker 1: and so I'm happy to to share this with everyone. UM.

2724
02:18:41,440 --> 02:18:44,039
Speaker 1: You guys all know how I got COVID. I got

2725
02:18:44,160 --> 02:18:47,840
Speaker 1: COVID on my Missouri breaks hunting trip where we met

2726
02:18:47,920 --> 02:18:50,600
Speaker 1: Joe Lean. So if you want to hear that story,

2727
02:18:50,640 --> 02:18:53,200
Speaker 1: it's and it's embedded than the last couple of episodes.

2728
02:18:54,080 --> 02:18:57,800
Speaker 1: UM But I had two weeks from about last two

2729
02:18:57,879 --> 02:19:02,000
Speaker 1: Sundays ago until today, about two weeks and change, a

2730
02:19:02,280 --> 02:19:07,040
Speaker 1: pretty awful COVID symptoms. UM. Everything from fevers to body aches,

2731
02:19:07,080 --> 02:19:10,960
Speaker 1: to sweats to uh, you know, moments where it was

2732
02:19:11,000 --> 02:19:13,960
Speaker 1: tough to breathe, too weak lungs, to coughing, to headaches,

2733
02:19:14,000 --> 02:19:18,760
Speaker 1: to fatigue to extreme fatigue in many moments. So you know,

2734
02:19:18,800 --> 02:19:20,920
Speaker 1: I I a lot of my family members, a lot

2735
02:19:20,959 --> 02:19:22,480
Speaker 1: of my friends, a lot of my coworkers just kind

2736
02:19:22,480 --> 02:19:25,520
Speaker 1: of wanted to know the dope on what happened to me, UM,

2737
02:19:25,600 --> 02:19:27,920
Speaker 1: so they could get some perspective on this virus. And

2738
02:19:28,040 --> 02:19:31,160
Speaker 1: so there it is. I mean, it was too you know,

2739
02:19:31,240 --> 02:19:35,000
Speaker 1: to aligable little over two weeks a pretty horrible symptoms

2740
02:19:35,240 --> 02:19:37,120
Speaker 1: that was not fun for me. But I'm out of

2741
02:19:37,160 --> 02:19:40,560
Speaker 1: the woods, hopefully looking to take care of my family

2742
02:19:40,640 --> 02:19:43,240
Speaker 1: and keep them on the right track so we can

2743
02:19:43,280 --> 02:19:46,199
Speaker 1: all get back healthy and get back to whatever normalcy

2744
02:19:46,320 --> 02:19:51,560
Speaker 1: we can. Um. But again, I do appreciate everybody who

2745
02:19:51,680 --> 02:19:56,120
Speaker 1: reached out. Um. I the bottom line is COVID nineteen

2746
02:19:56,640 --> 02:19:59,720
Speaker 1: ain't no joke. It is not something to mess around with.

2747
02:20:00,680 --> 02:20:02,880
Speaker 1: There's plenty of people that are asymptomatic or not that

2748
02:20:02,959 --> 02:20:05,000
Speaker 1: don't share symptoms like I did. But if you get

2749
02:20:05,160 --> 02:20:07,280
Speaker 1: the version of the virus that I had, or get

2750
02:20:07,320 --> 02:20:10,760
Speaker 1: the effects that I had, you will be wishing that

2751
02:20:10,920 --> 02:20:12,960
Speaker 1: You'd be wishing you were safer. You'd be wishing you

2752
02:20:13,040 --> 02:20:15,920
Speaker 1: were more cautious. I I wish I was more cautious,

2753
02:20:15,959 --> 02:20:18,520
Speaker 1: even though I ended up getting it in the middle

2754
02:20:18,560 --> 02:20:23,560
Speaker 1: of nowhere. UM. I I have examined my actions only man,

2755
02:20:23,680 --> 02:20:26,720
Speaker 1: I don't I'm not I'm not into the politics side

2756
02:20:26,760 --> 02:20:28,440
Speaker 1: of this, but I am in the in in the

2757
02:20:28,520 --> 02:20:30,400
Speaker 1: side of what could I have done better to protect

2758
02:20:30,480 --> 02:20:34,720
Speaker 1: my family? What could have done better to protect myself? UM?

2759
02:20:35,800 --> 02:20:38,120
Speaker 1: You know, I I am thinking about that and thinking

2760
02:20:38,160 --> 02:20:41,240
Speaker 1: about what I could have done. So, you know, enjoy

2761
02:20:41,360 --> 02:20:44,240
Speaker 1: the holidays, but just just take take what you will

2762
02:20:44,320 --> 02:20:47,840
Speaker 1: from my story. It is what it is, UM. But

2763
02:20:47,959 --> 02:20:50,560
Speaker 1: I didn't have I didn't have fun with this at all. Um,

2764
02:20:51,200 --> 02:20:54,680
Speaker 1: And so I hope no one gets the version I had.

2765
02:20:54,800 --> 02:20:56,960
Speaker 1: But a lot of people are testing positive and it's

2766
02:20:57,080 --> 02:21:00,680
Speaker 1: it's we are seeing spikes in this country. So I

2767
02:21:00,760 --> 02:21:02,960
Speaker 1: just want to tell all of you, Um, if you

2768
02:21:03,000 --> 02:21:05,720
Speaker 1: don't know anybody, if you don't know anybody that got COVID,

2769
02:21:05,800 --> 02:21:08,720
Speaker 1: now you do and you at least heard the story.

2770
02:21:08,920 --> 02:21:13,520
Speaker 1: So um, that's not a really good like have a

2771
02:21:13,560 --> 02:21:15,840
Speaker 1: great holiday thing to end on? Fields you got anything

2772
02:21:15,920 --> 02:21:19,040
Speaker 1: positive for us to end us on. Uh Nope, not

2773
02:21:19,160 --> 02:21:25,960
Speaker 1: at all. Have a good week everybody, No man, No, Well,

2774
02:21:25,959 --> 02:21:27,280
Speaker 1: first first, I just want to say, I know, I

2775
02:21:27,320 --> 02:21:29,600
Speaker 1: think it's important that you shared that story because I mean,

2776
02:21:29,760 --> 02:21:32,480
Speaker 1: I I know it's this has been like Montana has

2777
02:21:32,480 --> 02:21:33,960
Speaker 1: been a hospot for a while. Now. I know a

2778
02:21:34,360 --> 02:21:36,840
Speaker 1: handful of people that I've gotten COVID, and they've all

2779
02:21:36,879 --> 02:21:41,039
Speaker 1: been relatively minor cases. But like I think, I think

2780
02:21:41,080 --> 02:21:43,359
Speaker 1: it's important that people know firsthand that it's not always

2781
02:21:43,400 --> 02:21:45,840
Speaker 1: a minor case. If if people already didn't know that,

2782
02:21:46,200 --> 02:21:49,360
Speaker 1: And I think people should really be safe over the holidays.

2783
02:21:49,360 --> 02:21:50,680
Speaker 1: I think that's a good I think that's a good

2784
02:21:50,720 --> 02:21:53,760
Speaker 1: thing to go out on. I and the vaccine is

2785
02:21:54,040 --> 02:21:57,040
Speaker 1: on the horizon. I think we can hold out for

2786
02:21:57,160 --> 02:22:00,480
Speaker 1: just a few more months. Yeah, yeah, no, I I

2787
02:22:00,879 --> 02:22:02,800
Speaker 1: you know, certainly I've been sick with the flu. Step

2788
02:22:02,879 --> 02:22:05,080
Speaker 1: throat different things like that. I've never had a serious illness,

2789
02:22:05,120 --> 02:22:06,920
Speaker 1: never spent a night in the hospital my whole life,

2790
02:22:07,320 --> 02:22:10,960
Speaker 1: never had a major surgery. I can remember. Um, you know,

2791
02:22:11,040 --> 02:22:13,400
Speaker 1: I might be you know that that film Bruce Willis

2792
02:22:13,480 --> 02:22:16,080
Speaker 1: film Unbreakable. I might be that guy. I never like

2793
02:22:16,160 --> 02:22:19,160
Speaker 1: knock on wood. But I've never had a serious injury

2794
02:22:19,200 --> 02:22:22,240
Speaker 1: I can remember in my life. I know I've never

2795
02:22:22,320 --> 02:22:24,200
Speaker 1: put on a hospital gown. I know I've never spent

2796
02:22:24,280 --> 02:22:26,960
Speaker 1: a night in the hospital since I was born. Yeah,

2797
02:22:27,160 --> 02:22:29,000
Speaker 1: probably a couple of nights there, but since then, I

2798
02:22:29,080 --> 02:22:31,880
Speaker 1: don't think I've spent a night there. I've had some

2799
02:22:32,040 --> 02:22:36,199
Speaker 1: minor injuries or whatever. Um, this is the worst illness

2800
02:22:36,240 --> 02:22:38,920
Speaker 1: I had in my life. And it's not close. And

2801
02:22:39,080 --> 02:22:42,720
Speaker 1: so take it from again, take that for what it is.

2802
02:22:42,959 --> 02:22:47,560
Speaker 1: But it is, Um, it's true. So don't get it.

2803
02:22:48,240 --> 02:22:51,360
Speaker 1: Be safe, Be safe with your families, have a great

2804
02:22:51,440 --> 02:22:55,680
Speaker 1: holiday season, have some fun, eat some turkey, eat some

2805
02:22:55,760 --> 02:22:59,840
Speaker 1: wild game. Do what you do, but do it safely,

2806
02:23:00,560 --> 02:23:03,080
Speaker 1: and get us some fun stuff on the internet for

2807
02:23:03,200 --> 02:23:05,520
Speaker 1: me and fill laugh at and for you to get

2808
02:23:05,600 --> 02:23:11,440
Speaker 1: followed by Bye me. So go forth, enjoy, say bye Phil, goodbye,

2809
02:23:12,959 --> 02:23:18,520
Speaker 1: because I can't go a week without doing rung oh,

2810
02:23:18,760 --> 02:23:28,920
Speaker 1: without rung drenking out, absolutely drinking