WEBVTT - What Will Farming 4.0 Look Like?

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<v Speaker 1>Welcome to Stuff you should know, a production of I

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<v Speaker 1>Heart Radio. Hey, I'm welcome to the podcast. I'm Josh Clark,

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<v Speaker 1>and there's Charles W Chuck Bryant. Jerry's with us as well,

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<v Speaker 1>and we all have a nice They're a hay sticking

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<v Speaker 1>out of our teeth. Got a hat on. It's a derby.

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<v Speaker 1>Doesn't quite fit right, but is it still a hat?

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<v Speaker 1>And I'm wearing overalls with nothing underneath and no shoes

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<v Speaker 1>and socks. Have I told you my uh Olan Mills story? No?

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<v Speaker 1>I can't not. When I lost my two front teeth,

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<v Speaker 1>my mom promptly took me to Olan Mills. And there

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<v Speaker 1>is a picture in existence. I'll try and find it

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<v Speaker 1>and put it on my Instagram um of me in

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<v Speaker 1>front of a like a lazy river scene or a

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<v Speaker 1>lake or something, with overall shorts and you know, cut

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<v Speaker 1>off overalls, I guess, nothing else on, no shirt, no shoes,

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<v Speaker 1>and like, uh, I love to see it. I feel

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<v Speaker 1>like I had like a cane pole and maybe a straw. Hateez?

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<v Speaker 1>Did they did they have the the the engraving and

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<v Speaker 1>stone mountain and as the background? No, thank goodness, I

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<v Speaker 1>just it was straight up cosplay it's very embarrassing, but

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<v Speaker 1>I'll see if I can find that and throw it

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<v Speaker 1>up on Chuck the Podcaster Instagram. You should, Chuck. I

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<v Speaker 1>think that would really garner some likes, you know, putting

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<v Speaker 1>a few old pictures up there every now and then.

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<v Speaker 1>It's fun. That's very cute. Um. So, I guess you're saying,

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<v Speaker 1>you're we're talking about wearing nothing but overalls because we're

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<v Speaker 1>talking about farming, right, Yeah, I mean that that picture

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<v Speaker 1>Basically I learned all I needed to know about farming

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<v Speaker 1>that day, which is I'm not cut out for it.

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<v Speaker 1>I'm not cut out for it. I am cut out

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<v Speaker 1>to be photographed for money. Whoa, Um, that was me

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<v Speaker 1>doing my impression of you. Yeah. I didn't get paid.

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<v Speaker 1>Uh yeah, I guess that's the opposite. Happened Your mom

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<v Speaker 1>paid somebody take pictures of you regardless, Um, none of

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<v Speaker 1>that really happens in farming. Maybe people running around with

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<v Speaker 1>overalls on probably has something underneath the overalls. But for

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<v Speaker 1>the most part, this is a gross misconception of of

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<v Speaker 1>what farming is. Especially now that I've done some research

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<v Speaker 1>on the current state of farming, We're pretty far from

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<v Speaker 1>the whole idea of people running around with hey in

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<v Speaker 1>their and their mouths and wearing overalls and nothing. But sure,

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<v Speaker 1>I mean, well, it depends on who you are. Like,

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<v Speaker 1>have you ever seen and I've talked about it before

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<v Speaker 1>the documentary The Biggest Little Farm. Yeah, I think you

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<v Speaker 1>have talked about that. I don't remember what episode it

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<v Speaker 1>was in there, And we'll get to that. That's coming

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<v Speaker 1>up on the the last part of this episode about

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<v Speaker 1>agro ecology, but that those are people that are adherents

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<v Speaker 1>of bringing it back to what farming used to be,

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<v Speaker 1>which was ecologically sound, harmonious with nature, that kind of thing, right,

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<v Speaker 1>which makes a tremendous amount of sense. But we'll see

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<v Speaker 1>if that's even possible in the future, because here's the thing.

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<v Speaker 1>There's a huge um boom in demand for agriculture that

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<v Speaker 1>we are on the presiposs of it. Actually, I guess

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<v Speaker 1>you could make a pretty good case that we're in

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<v Speaker 1>the midst of it right now. Um, by the year

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<v Speaker 1>there's a predicted somewhere around nine to ten billion. It's

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<v Speaker 1>a pretty big gap. But let's say nine to ten

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<v Speaker 1>billion people are expected to be running around on planet Earth, right,

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<v Speaker 1>and all those people are going to need to be fed.

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<v Speaker 1>But the thing is is we're not exactly sure how

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<v Speaker 1>we're going to reach that increased demand. And because there

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<v Speaker 1>is a study by the Food and Agriculture Organization of

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<v Speaker 1>the u M that said that we're basically going to

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<v Speaker 1>have to increase food production UM compared to two thousand

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<v Speaker 1>seven levels by seventy to feed all those people. And

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<v Speaker 1>that's that's if we hit the low and the nine

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<v Speaker 1>billion UM in population by Yeah, and you mentioned agriculture, Um,

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<v Speaker 1>we're also talking meat in protein because not only is

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<v Speaker 1>the population increasing, but income is on the rise worldwide,

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<v Speaker 1>especially in developing countries. And as you are developing country

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<v Speaker 1>that gets a little more money in your pocket as individuals,

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<v Speaker 1>you want to eat more meat in protein. So um,

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<v Speaker 1>I think they said global meat consumption is going to

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<v Speaker 1>arise by about sevents. Well, yeah, and when you're talking

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<v Speaker 1>about meat um consumption as far as agriculture goes, like,

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<v Speaker 1>you're talking about agriculture times too, because not only do

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<v Speaker 1>you have to use all those inputs to grow the

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<v Speaker 1>cattle themselves, the livestock themselves, so um you can eat them,

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<v Speaker 1>you have to feed them to get them ready to

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<v Speaker 1>be eaten, right, So you have to grow the food

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<v Speaker 1>to feed to the cattle that you're going to grow

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<v Speaker 1>that you're going to eventually eat. So there's a lot

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<v Speaker 1>of agriculture that's going to have to be going on. Um.

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<v Speaker 1>But here's the thing. Agriculture has handled this before. There

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<v Speaker 1>was a time you and I have talked about countless times, um,

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<v Speaker 1>the Green Revolution back in the early mid twentieth century.

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<v Speaker 1>There are a lot of people saying, UM, we're not

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<v Speaker 1>exactly sure that agriculture is going to be able to

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<v Speaker 1>keep pace with the growing population. And we think probably

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<v Speaker 1>about a billion people are going to starve. And that

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<v Speaker 1>may have happened, we will never know, but we know

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<v Speaker 1>that it didn't happen thanks to the green revolution that

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<v Speaker 1>was hastened by scientists like Norman Borlog. Yeah, we've been

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<v Speaker 1>talking about that guy for a year. And the irony

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<v Speaker 1>of the green revolution is is today's terminology. You might

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<v Speaker 1>think that has something to do with, um, environmentally sound practices.

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<v Speaker 1>It was kind of the opposite of that in a

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<v Speaker 1>lot of ways. Uh, they've meant green just like a

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<v Speaker 1>lot of plants. Uh, it was really harmful to the environment.

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<v Speaker 1>It did feed a lot of people, and there's a

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<v Speaker 1>lot of mixed um mixed reviews on Yelp about the

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<v Speaker 1>green revolution. I guess, uh, that's an easier way to

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<v Speaker 1>say controversy because what happened is a lot of the

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<v Speaker 1>greenhouse gas emissions that we see uh in the world

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<v Speaker 1>today come from food production. We've talked about methane coming

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<v Speaker 1>from cowpoots before, We've talked about it's real big problem.

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<v Speaker 1>We've talked about deforestation. Um obviously transportation getting this food

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<v Speaker 1>and transporting it, you know, because the idea we kind

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<v Speaker 1>of went away from the idea of local farms feeding

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<v Speaker 1>regions into shipping food across the globe if we need to,

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<v Speaker 1>and that's just a lot of pollution. I think raising

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<v Speaker 1>livestock and fish accounts for about of agricultures greenhouse emissions,

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<v Speaker 1>with livestock being about Yeah, so this whole So we've

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<v Speaker 1>we've reached this an inflection point that really resembles the

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<v Speaker 1>last inflection point where Okay, we're about to have a

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<v Speaker 1>big increase in population. We need to make sure that

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<v Speaker 1>agriculture can keep up with food production to feed everybody,

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<v Speaker 1>or else we're gonna have big problems. But this time

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<v Speaker 1>there's an added twist and that we know the last

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<v Speaker 1>thing we did kind of wreck to the environment. So

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<v Speaker 1>now we have to figure out, Okay, how are we

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<v Speaker 1>going to meet this challenge this time without further wrecking

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<v Speaker 1>the environment and then maybe even figuring out a way

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<v Speaker 1>to um help the environment through food production. That's kind

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<v Speaker 1>of where we're at right now. And agriculture has gone

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<v Speaker 1>through different iterations, and right now supposedly we're in agriculture

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<v Speaker 1>three doto And what every but he's trying to figure

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<v Speaker 1>out is what comes next? What's agriculture for dotto? Yeah?

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<v Speaker 1>One one point oh? You say dot? Yeah, okay, one

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<v Speaker 1>point oh was from Neolithic to the nineteen twenties. So

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<v Speaker 1>that was boy, that had a good long run, didn't it. Yeah,

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<v Speaker 1>that's a good long stretch, a very good long stretch.

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<v Speaker 1>But that included a lot of labor from human hands

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<v Speaker 1>and animal hoofs uh two point oh? Was that green

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<v Speaker 1>revolution we were talking about? Three point I was about

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<v Speaker 1>ten or eleven years ago when big data kind of

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<v Speaker 1>came in to help maximize yields. And it's uh, they're

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<v Speaker 1>saying like four point needs to start happening now, and

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<v Speaker 1>sort of is We're just not exactly sure what the

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<v Speaker 1>final iteration is gonna look like yeah, and a lot

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<v Speaker 1>of the stuff that's going on in three Datto is

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<v Speaker 1>going to make an appearance in four Duto. But it's

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<v Speaker 1>gonna be that's a way to say it. Sometimes points

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<v Speaker 1>so yeah, of course, although it reminds me. Have you

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<v Speaker 1>watched Cobra kai Uh? We watched the first like four

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<v Speaker 1>or five episodes and then we're like, I get it.

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<v Speaker 1>Same here. Um, But that one where Johnny's handing out

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<v Speaker 1>flyers for his new website, He's like, check out this

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<v Speaker 1>cool website. H T T P colon slash slash w

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<v Speaker 1>w W period Cobra guy period c O M. They

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<v Speaker 1>just spelled it out while he was handing out a flocker.

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<v Speaker 1>But he says period. He didn't say dot. That's really funny.

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<v Speaker 1>Well two period of three periodo he uh it was.

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<v Speaker 1>That was great. Yeah, it was a great premise that

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<v Speaker 1>they really pulled off for a little while there. So

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<v Speaker 1>now whenever you say to Dot, oh, I'll say do

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<v Speaker 1>you have a problem, Mr Clark, Yeah, and I'll say

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<v Speaker 1>no mercy, no mercy, Yeah, okay, Um, that's the new

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<v Speaker 1>response to that question. But you don't say it like that.

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<v Speaker 1>You don't go no, mercy. Oh you don't say it, director,

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<v Speaker 1>No mercy. Uh, okay, let me try keep them ready.

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<v Speaker 1>No mercy. Very intimidating. Thank you. Where were we? We

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<v Speaker 1>were talking about what four dotto is going to look like? Yeah,

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<v Speaker 1>because here's the deal. Uh, farmers themselves, the human beings

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<v Speaker 1>are getting older. Um, farmers over sixty five years old

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<v Speaker 1>out number uh those under forty five years old by

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<v Speaker 1>two to one, actually a little more than two dot

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<v Speaker 1>one to one dot one. Know those are Colin's my friend.

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<v Speaker 1>Know there's a dot to dot one. Oh man, I

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<v Speaker 1>feel like this is gonna happen. Um. So one of

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<v Speaker 1>the first kind of things that people think may happen,

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<v Speaker 1>and that we're already seeing some is consolidation of farms.

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<v Speaker 1>Instead of a lot of medium, too small sized farms,

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<v Speaker 1>how about few are really big farms. And you know

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<v Speaker 1>that's already kind of been happening. Yeah. And like in

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<v Speaker 1>a normal industry, let's say the kazoo manufacturing industry, if

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<v Speaker 1>like the kazoo makers were way old and there weren't

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<v Speaker 1>very many young kazoo makers, that wouldn't fare very well

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<v Speaker 1>for the kazoo industry, but no one would really care.

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<v Speaker 1>We wouldn't miss kazoos all that much, would be Okay,

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<v Speaker 1>farming does not really fall within that same category as kazoos,

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<v Speaker 1>Like we need food. So rather than farming just going away,

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<v Speaker 1>they're just going to figure out how to consolidate it

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<v Speaker 1>with fewer, younger farmers with bigger farms under their belt, right,

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<v Speaker 1>which you know, if you think there's fewer farmers, so

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<v Speaker 1>you consolidate the farms. That makes sense, But you're like,

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<v Speaker 1>you still need people because these farmers are getting older

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<v Speaker 1>and ostensibly, you know, farm hands are getting older as well.

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<v Speaker 1>But here's where uh four dot four period oh comes

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<v Speaker 1>in is robots. As John Hodgman would say, yeah, oh man,

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<v Speaker 1>I didn't hear it in any other way every time

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<v Speaker 1>I read it. Yeah, because there's a lot of inefficiencies

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<v Speaker 1>in traditional farming with farm hands. I mean, just one

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<v Speaker 1>example is when you fertilize an area. You know, you

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<v Speaker 1>can fertilize like a platt, but you fertilize that whole plat.

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<v Speaker 1>If there's a part of that plat that doesn't need fertilizing,

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<v Speaker 1>it's probably gonna get fertilized anyway, just because you know,

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<v Speaker 1>they just run the fertilizer over that area, right exactly.

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<v Speaker 1>It's just that's just what is the most efficient. And

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<v Speaker 1>as we'll see, like that's a that's a real problem.

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<v Speaker 1>That's sad that that's the current way to do it,

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<v Speaker 1>but that's conventional farming practices. You just fertilize the whole

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<v Speaker 1>field and go on and do something else, because there's

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<v Speaker 1>a million other things that need to be done as well.

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<v Speaker 1>But one of the things, um that's going to be

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<v Speaker 1>uh kind of saved in that way by by robots

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<v Speaker 1>is um They're going to take these different steps that

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<v Speaker 1>are involved in UM farm work and kind of um

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<v Speaker 1>break them down into uh, um, what's the word I'm

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<v Speaker 1>looking for, chuck where where you know, Oh, specialties. So

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<v Speaker 1>a robot specializes in a certain task or whatever. And

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<v Speaker 1>because you'll have a bunch of different robots they doing

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<v Speaker 1>the same task, they'll be able to kind of give

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<v Speaker 1>more personal tailored care to the to the plants. Say

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<v Speaker 1>like some plants need fertilizer, those plants will get fertilizer.

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<v Speaker 1>Plant doesn't need fertilizer, it's not going to get fertilizer.

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<v Speaker 1>And that's going to save a lot of UM inputs.

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<v Speaker 1>Is kind of what you talk about when you're in

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<v Speaker 1>talking agriculture UM, which kind of is generally a good thing,

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<v Speaker 1>not just financially, but when it comes to the environment

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<v Speaker 1>as we'll see. Yeah, and you know, you think about

0:13:49.440 --> 0:13:53.360
<v Speaker 1>a tractor that requires a human to drive that tractor. Uh,

0:13:53.440 --> 0:13:57.880
<v Speaker 1>they already have tractors that can drive themselves with GPS

0:13:58.040 --> 0:14:01.240
<v Speaker 1>accuracy involved. And you know that's been going on for

0:14:01.240 --> 0:14:04.520
<v Speaker 1>a little while now. And the idea I think is UM.

0:14:04.559 --> 0:14:06.400
<v Speaker 1>And you know, some of these tractors are something called

0:14:06.440 --> 0:14:09.840
<v Speaker 1>the lettuce bot, which is kind of cool, where basically

0:14:09.840 --> 0:14:13.400
<v Speaker 1>have a tractor at least that's sort of the current iteration,

0:14:13.960 --> 0:14:15.880
<v Speaker 1>and on the back of that tractor is a big

0:14:16.000 --> 0:14:20.040
<v Speaker 1>row of I mean, we call them robots. It's not

0:14:20.120 --> 0:14:23.520
<v Speaker 1>like you know, George Jetson type of stuff. A robotis

0:14:23.560 --> 0:14:27.760
<v Speaker 1>just means it's a mechanical, you know, automated system. Right,

0:14:27.800 --> 0:14:32.160
<v Speaker 1>it's not they're not looking for a husband like. So

0:14:32.200 --> 0:14:34.640
<v Speaker 1>the lettuce bot is pulled along behind the tractor and

0:14:34.640 --> 0:14:36.960
<v Speaker 1>it's got you know, just a big row of little

0:14:37.040 --> 0:14:41.120
<v Speaker 1>robots that can do everything from UM kind of custom

0:14:41.160 --> 0:14:45.440
<v Speaker 1>fertilization to picking out a weed using the same technology

0:14:45.480 --> 0:14:49.800
<v Speaker 1>that they use in facial recognition like there's a ragweed

0:14:49.880 --> 0:14:52.400
<v Speaker 1>or something, let's get rid of just that weed instead

0:14:52.440 --> 0:14:54.480
<v Speaker 1>of like let's just spray the whole field with round

0:14:54.560 --> 0:14:57.360
<v Speaker 1>up or whatever. Uh. And it's you know, it's going

0:14:57.400 --> 0:15:01.520
<v Speaker 1>to increase efficiencies. And I think that's the first iteration.

0:15:01.560 --> 0:15:04.680
<v Speaker 1>And what they're looking at in the future is instead

0:15:04.680 --> 0:15:07.200
<v Speaker 1>of even a big tractor that still costs a lot

0:15:07.240 --> 0:15:10.240
<v Speaker 1>of money, Yeah, like hundreds of thousands of dollars for

0:15:10.240 --> 0:15:12.560
<v Speaker 1>a new track. I think, like it doesn't really dawn

0:15:12.640 --> 0:15:18.440
<v Speaker 1>on city slickers how incredibly expensive farm equipment is. Yeah,

0:15:18.480 --> 0:15:22.000
<v Speaker 1>those big, big tractors, not like you're sort of fun tractor. No,

0:15:22.160 --> 0:15:24.920
<v Speaker 1>not a fun tractor, sure, that's like fifty grand, who cares,

0:15:24.960 --> 0:15:27.920
<v Speaker 1>but like a really big tractor. Yeah, it's a lot

0:15:27.960 --> 0:15:30.640
<v Speaker 1>of money. Um. So I think the idea is, or

0:15:30.640 --> 0:15:34.320
<v Speaker 1>at least what I saw, there's conceptual drawings of smaller

0:15:35.120 --> 0:15:38.120
<v Speaker 1>uh robot tractors that are I don't know, it looked

0:15:38.160 --> 0:15:40.640
<v Speaker 1>like the size of like a like a six foot

0:15:40.640 --> 0:15:43.800
<v Speaker 1>folding table or something just kind of going over like

0:15:43.840 --> 0:15:46.000
<v Speaker 1>a row of lettuce, Like it's that it's in charge

0:15:46.000 --> 0:15:48.800
<v Speaker 1>of that one row. Probably, Yeah, But what I wonder

0:15:48.960 --> 0:15:51.160
<v Speaker 1>is how expensive are those and do you have to

0:15:51.200 --> 0:15:53.840
<v Speaker 1>get fifty of those to equal one tractor? And how

0:15:53.880 --> 0:15:57.240
<v Speaker 1>does it suss out financially? I mean, I'm sure that

0:15:57.360 --> 0:16:01.200
<v Speaker 1>like there's a maximum number that you would possibly need,

0:16:01.320 --> 0:16:03.480
<v Speaker 1>or else you're like, I have more than I can use.

0:16:03.960 --> 0:16:06.440
<v Speaker 1>And then you have you have a farm that like

0:16:06.880 --> 0:16:08.880
<v Speaker 1>doesn't make quite as much money as another farm, so

0:16:08.920 --> 0:16:12.240
<v Speaker 1>they make do with half the number of robots, and

0:16:12.240 --> 0:16:14.920
<v Speaker 1>that maybe they have to supplement that with humans or whatever,

0:16:15.360 --> 0:16:17.600
<v Speaker 1>um or it takes longer for that to be done,

0:16:17.720 --> 0:16:21.440
<v Speaker 1>or they can grow less lettuce. But I'm sure that

0:16:21.480 --> 0:16:24.160
<v Speaker 1>like there's from what I read, there's a price point

0:16:24.240 --> 0:16:28.760
<v Speaker 1>where like having robots is going to be financially way

0:16:28.800 --> 0:16:32.840
<v Speaker 1>better than having to sink hunt several hundred grand into

0:16:32.880 --> 0:16:34.880
<v Speaker 1>a new tract or even like a hundred and fifty

0:16:34.920 --> 0:16:37.640
<v Speaker 1>grand for a use tractor. And then the other thing,

0:16:37.640 --> 0:16:40.280
<v Speaker 1>and this is really important to number one, you don't

0:16:40.280 --> 0:16:42.400
<v Speaker 1>need a human to drive these things, which frees the

0:16:42.440 --> 0:16:44.200
<v Speaker 1>human up to do other things, or you don't have

0:16:44.200 --> 0:16:46.480
<v Speaker 1>to pay the human anymore, So that's gonna save you

0:16:46.520 --> 0:16:50.480
<v Speaker 1>some money. And then secondly, um, if one of those

0:16:50.520 --> 0:16:55.960
<v Speaker 1>robots breaks down, you can still work all the other rows.

0:16:56.320 --> 0:16:59.120
<v Speaker 1>If the tractor breaks down, You're you're done. You have

0:16:59.160 --> 0:17:01.360
<v Speaker 1>to wait until the try just fixed, and then all

0:17:01.400 --> 0:17:03.840
<v Speaker 1>of that work has to wait. This is just one

0:17:03.840 --> 0:17:07.280
<v Speaker 1>single say row that isn't getting attended to right then

0:17:07.480 --> 0:17:09.720
<v Speaker 1>while that one robot's broken down. So that's a huge

0:17:09.720 --> 0:17:12.600
<v Speaker 1>advantage right there. Yeah, and you can just tell robot

0:17:12.680 --> 0:17:15.560
<v Speaker 1>number two to scoot over and cover the ground that

0:17:15.640 --> 0:17:18.840
<v Speaker 1>robot number one is missing exactly, and he's like, I

0:17:18.880 --> 0:17:22.520
<v Speaker 1>gotta pull a double Shut up. You're a machine. You

0:17:22.600 --> 0:17:26.360
<v Speaker 1>can't talk. The other thing robots can potentially do is harvest.

0:17:27.040 --> 0:17:31.280
<v Speaker 1>Harvesting is very labor intensive, and it's also kind of inefficient,

0:17:31.400 --> 0:17:35.240
<v Speaker 1>especially when it comes to something like um, maybe like strawberries,

0:17:35.800 --> 0:17:39.760
<v Speaker 1>which you harvest one time during the year, and you

0:17:39.800 --> 0:17:42.280
<v Speaker 1>know there there's still a little bit of leeway in there.

0:17:42.320 --> 0:17:46.040
<v Speaker 1>Like it's it's not an exact science in that some

0:17:46.200 --> 0:17:49.040
<v Speaker 1>of those plants will have ripe fruit before you go

0:17:49.119 --> 0:17:51.840
<v Speaker 1>to harvest and it'll rot and drop off. Some of

0:17:51.880 --> 0:17:54.359
<v Speaker 1>them may need to wait a little bit and ripen afterward,

0:17:54.880 --> 0:17:57.520
<v Speaker 1>so you're wasting a lot of fruit there on the ground.

0:17:57.680 --> 0:18:01.840
<v Speaker 1>And robot harvesters would just constantly kind of patrol these

0:18:01.960 --> 0:18:04.840
<v Speaker 1>rosa plants and harvests the berries when they're ready to

0:18:04.840 --> 0:18:08.360
<v Speaker 1>be harvested, right, which would make it a lot more

0:18:08.400 --> 0:18:11.119
<v Speaker 1>money for the farmers who are growing that stuff. It's

0:18:11.160 --> 0:18:14.040
<v Speaker 1>pretty pretty awesome. And then as we kind of evolve

0:18:14.080 --> 0:18:17.439
<v Speaker 1>further and further along in our technology UM and we

0:18:17.520 --> 0:18:21.440
<v Speaker 1>finally reach the capability of nanotechnology, one of the things

0:18:21.440 --> 0:18:25.399
<v Speaker 1>that they are hoping that nanobots, which are currently just

0:18:25.480 --> 0:18:29.800
<v Speaker 1>hypothetical robots on the scale of UM like a strand

0:18:29.800 --> 0:18:33.080
<v Speaker 1>of DNA or an atom or something, they'll be able

0:18:33.080 --> 0:18:37.199
<v Speaker 1>to manipulate matter about UM like on that scale. So

0:18:37.240 --> 0:18:41.280
<v Speaker 1>what they're hoping for is UM with agriculture, nanobots will

0:18:41.320 --> 0:18:45.040
<v Speaker 1>eventually be able to deliver nutrients directly to the roots

0:18:45.040 --> 0:18:48.240
<v Speaker 1>of a plant, like right when it needs it, not

0:18:48.240 --> 0:18:51.120
<v Speaker 1>not from some humans saying like, hey, nanoboto, go take

0:18:51.160 --> 0:18:53.600
<v Speaker 1>this nutrient, this little bit of nitrogen over to that

0:18:53.640 --> 0:18:56.080
<v Speaker 1>plant right there. It will be all of this stuff

0:18:56.080 --> 0:19:00.440
<v Speaker 1>will be guided and directed by computers that are paying

0:19:00.480 --> 0:19:03.639
<v Speaker 1>attention to the plants through sensors and then directing the

0:19:03.720 --> 0:19:06.640
<v Speaker 1>nanobots to go take this nutrient to this particular plant

0:19:06.680 --> 0:19:09.679
<v Speaker 1>because it needs it right now. And this kind of

0:19:10.000 --> 0:19:13.439
<v Speaker 1>this kind of attention. This tailored to individualize attention is

0:19:13.440 --> 0:19:16.840
<v Speaker 1>what's called precision farming, and that seems to be something

0:19:16.880 --> 0:19:19.400
<v Speaker 1>that's looming on the horizon that will be a big

0:19:19.440 --> 0:19:24.000
<v Speaker 1>part of for for period. Oh yeah, I think the

0:19:24.080 --> 0:19:27.760
<v Speaker 1>NANO is like serious future farming when we get to

0:19:27.800 --> 0:19:30.320
<v Speaker 1>that point, But a lot of this stuff is on

0:19:30.359 --> 0:19:34.120
<v Speaker 1>the imminent horizon. Um Nutrient waste is a really big

0:19:34.119 --> 0:19:37.600
<v Speaker 1>deal and a big problem. I think about six of

0:19:37.640 --> 0:19:41.040
<v Speaker 1>fertilizer that you apply to a field is lost to

0:19:41.200 --> 0:19:44.439
<v Speaker 1>run off. So there's a big cost factor there that

0:19:44.440 --> 0:19:48.280
<v Speaker 1>you're losing and it just rereaks havoc on water sheds

0:19:48.280 --> 0:19:50.040
<v Speaker 1>that are nearby, which we talked about a little bit

0:19:50.040 --> 0:19:55.840
<v Speaker 1>in the watershed episode. And fertilizer production and then transporting

0:19:55.840 --> 0:19:58.200
<v Speaker 1>that where you need it is a big, big part

0:19:58.240 --> 0:20:02.080
<v Speaker 1>of CEO two emissions. I think five to eleven kilograms

0:20:02.720 --> 0:20:06.280
<v Speaker 1>of CEO two are admitted through the lifestyle life cycle

0:20:06.320 --> 0:20:11.560
<v Speaker 1>of one keg I'm sorry, one kilogram gig tepe kega.

0:20:11.680 --> 0:20:16.480
<v Speaker 1>That fertilizer man keg stand uh one kilogram of fertilizer.

0:20:17.280 --> 0:20:20.000
<v Speaker 1>And once you fertilize the plant, Uh, it gets in

0:20:20.040 --> 0:20:23.200
<v Speaker 1>that soil and these microbes you know, have to convert

0:20:23.240 --> 0:20:26.639
<v Speaker 1>that fertilizer into something that's useful. And when it does that,

0:20:26.800 --> 0:20:29.399
<v Speaker 1>it emits uh n O two or I'm sorry in

0:20:29.480 --> 0:20:33.359
<v Speaker 1>two O nitrous oxide and that's number three behind CEO

0:20:33.400 --> 0:20:36.719
<v Speaker 1>two and methane is a big problem gas. Right, So

0:20:36.760 --> 0:20:39.280
<v Speaker 1>there's a lot to be saved by by cutting down

0:20:39.359 --> 0:20:43.639
<v Speaker 1>on that six of waste fertilizer. A lot of stuff

0:20:43.640 --> 0:20:45.840
<v Speaker 1>would be helped by that. And the more you can

0:20:45.920 --> 0:20:50.480
<v Speaker 1>precisely tailor agriculture, UM, the less waste you're going to have.

0:20:51.000 --> 0:20:53.640
<v Speaker 1>And I would say that UM for anybody who's interested

0:20:53.640 --> 0:20:58.320
<v Speaker 1>in hearing how colossally wrong deploying nanobots into crop land

0:20:58.480 --> 0:21:01.760
<v Speaker 1>could go, I would direct you to UM my tempart

0:21:01.840 --> 0:21:04.800
<v Speaker 1>series The End of the World with Josh Clark, specifically

0:21:04.800 --> 0:21:07.600
<v Speaker 1>the AI episode. It's pretty good, kind of eye opening.

0:21:08.080 --> 0:21:10.760
<v Speaker 1>I think that's my favorite one. Actually. Oh, thanks Chuck.

0:21:11.280 --> 0:21:14.040
<v Speaker 1>All right, so let's take a break and we'll come

0:21:14.040 --> 0:21:42.600
<v Speaker 1>back and talk about big data right after this. Okay,

0:21:42.640 --> 0:21:47.359
<v Speaker 1>we're back, and we're talking about Chuck big data and

0:21:50.160 --> 0:21:54.800
<v Speaker 1>three period oh, which was already or is already using

0:21:54.840 --> 0:21:57.600
<v Speaker 1>a lot of data. UM. We talked about the GPS

0:21:57.600 --> 0:22:01.400
<v Speaker 1>guided tractors that have been around for a while. Um.

0:22:01.440 --> 0:22:04.600
<v Speaker 1>They do use things like drones and satellites to get

0:22:04.880 --> 0:22:07.320
<v Speaker 1>like literal big pictures of farms that can be really

0:22:07.440 --> 0:22:12.359
<v Speaker 1>useful UM in determining like areas that are patchy or dry,

0:22:12.480 --> 0:22:15.680
<v Speaker 1>or hey, this looks ready for harvest. But they're gonna

0:22:15.720 --> 0:22:20.000
<v Speaker 1>bring light into the mix, which is something I know

0:22:20.040 --> 0:22:23.480
<v Speaker 1>we've talked about before. L I D A R. When

0:22:23.480 --> 0:22:25.640
<v Speaker 1>do we talk about that? I don't know. It might

0:22:25.680 --> 0:22:30.400
<v Speaker 1>have been. It's used most famously for m mapping dense

0:22:31.080 --> 0:22:35.399
<v Speaker 1>jungle ruins. UM. Like. I was reading about it in

0:22:35.520 --> 0:22:37.960
<v Speaker 1>this book called The Lost City of the Monkey God

0:22:38.040 --> 0:22:41.360
<v Speaker 1>by Douglas Preston, which I actually heard about in researching

0:22:41.359 --> 0:22:45.080
<v Speaker 1>our episode on Finn Treasure, because Douglas Preston was the

0:22:45.400 --> 0:22:50.640
<v Speaker 1>friend of Forest Finn, who UM vouched for having seen

0:22:50.680 --> 0:22:54.920
<v Speaker 1>the treasure in person before his closet, And I was like, Oh,

0:22:54.920 --> 0:22:56.720
<v Speaker 1>that book sounds pretty interesting. I went and read it,

0:22:56.720 --> 0:22:59.320
<v Speaker 1>and it's really interesting. But he talks a lot about

0:22:59.400 --> 0:23:03.640
<v Speaker 1>light are being used to map these these these ruins

0:23:03.680 --> 0:23:06.200
<v Speaker 1>that have been overgrown by jungle that you normally would

0:23:06.200 --> 0:23:08.920
<v Speaker 1>never be able to see overhead, but the light are

0:23:09.320 --> 0:23:13.280
<v Speaker 1>UM is able to basically get beams of lasers through

0:23:13.440 --> 0:23:15.919
<v Speaker 1>the brakes and like leaves and all that in the

0:23:16.040 --> 0:23:19.280
<v Speaker 1>canopy to hit the ground below and then bounce back up.

0:23:19.640 --> 0:23:21.760
<v Speaker 1>And so you get a picture of the understory too,

0:23:21.760 --> 0:23:24.640
<v Speaker 1>which would come and handy big time for for crops,

0:23:24.720 --> 0:23:29.880
<v Speaker 1>especially tall crops that are growing closely together, like say corn. Right,

0:23:30.080 --> 0:23:33.440
<v Speaker 1>So you bundle all that together in a handy little

0:23:33.960 --> 0:23:38.119
<v Speaker 1>app for Mr. Future Farmer and Mrs Future Farmer or

0:23:38.400 --> 0:23:41.680
<v Speaker 1>Miss Future Farmer or a Miss Future Farmer or dr

0:23:41.760 --> 0:23:47.280
<v Speaker 1>Future Farmer or future farmer, they or they the future farmers.

0:23:47.960 --> 0:23:50.880
<v Speaker 1>That's that's great. I think we covered all the base.

0:23:50.960 --> 0:23:53.840
<v Speaker 1>I think so. Um, So you have an app there,

0:23:53.880 --> 0:23:58.600
<v Speaker 1>and machine learning becomes more intelligent, the Internet of Things

0:23:58.720 --> 0:24:01.159
<v Speaker 1>kind of gets a little more robot and then you

0:24:01.200 --> 0:24:06.000
<v Speaker 1>have farmers that don't have to constantly make these tiny

0:24:06.040 --> 0:24:10.000
<v Speaker 1>little decisions, these micro decisions that they have to make

0:24:10.040 --> 0:24:13.200
<v Speaker 1>every day about keeping their farm healthy. They can kind

0:24:13.200 --> 0:24:15.639
<v Speaker 1>of rely on this AI technology to figure it out

0:24:15.680 --> 0:24:18.160
<v Speaker 1>and do it for them. Uh, and I guess they

0:24:18.160 --> 0:24:21.320
<v Speaker 1>can spend their time building future weapons to fight the

0:24:21.400 --> 0:24:26.320
<v Speaker 1>eventual robot uprising. That's right. But I mean, like think

0:24:26.320 --> 0:24:28.720
<v Speaker 1>about it, all of this stuff is just using things

0:24:28.800 --> 0:24:33.360
<v Speaker 1>that are popping up in other sectors right now, machine learning, UM,

0:24:33.560 --> 0:24:36.399
<v Speaker 1>sensors that are connected to the Internet of Things, and

0:24:36.400 --> 0:24:40.280
<v Speaker 1>then integration of all this stuff that UM to oversee

0:24:40.320 --> 0:24:42.560
<v Speaker 1>this so that the farmer doesn't have to make these decisions.

0:24:42.600 --> 0:24:45.199
<v Speaker 1>And when you combine all this stuff together, you have

0:24:45.320 --> 0:24:49.480
<v Speaker 1>like a farm that could be humming along UM just

0:24:49.520 --> 0:24:54.440
<v Speaker 1>an absolute peak performance with minimal inputs that are delivered

0:24:54.520 --> 0:24:56.840
<v Speaker 1>just at just the right time and just the right amount,

0:24:56.920 --> 0:25:00.360
<v Speaker 1>with minimal waste UM, with the farmer having to make

0:25:00.480 --> 0:25:04.119
<v Speaker 1>minimal decisions. And if you take this to its you know,

0:25:04.440 --> 0:25:08.680
<v Speaker 1>eventual conclusion. I mean the there won't be like young

0:25:08.880 --> 0:25:12.040
<v Speaker 1>farmers running and you know, huge farms. It'll be like

0:25:12.720 --> 0:25:15.000
<v Speaker 1>somebody who owns the farm. But really it's like an

0:25:15.040 --> 0:25:19.080
<v Speaker 1>AI that's overseeing the entire farm, communicating with everything through

0:25:19.080 --> 0:25:22.760
<v Speaker 1>the Internet of Things, directing this nanobot over there, UM

0:25:22.760 --> 0:25:26.399
<v Speaker 1>this let us bot over here. And then potentially is

0:25:26.480 --> 0:25:31.400
<v Speaker 1>we grow as a UM an advanced society, there may

0:25:31.480 --> 0:25:34.920
<v Speaker 1>just be one AI that we we rely on to

0:25:35.080 --> 0:25:37.840
<v Speaker 1>run all the farms everywhere around the world and then

0:25:38.320 --> 0:25:41.600
<v Speaker 1>handle distribution and all of that stuff. So I don't know,

0:25:41.640 --> 0:25:44.560
<v Speaker 1>maybe that's agriculture five auto. Who knows, maybe we'll never

0:25:44.640 --> 0:25:47.240
<v Speaker 1>get there. There's some people that certainly hope we that's

0:25:47.280 --> 0:25:49.520
<v Speaker 1>not the direction we go. But we'll talk about them

0:25:49.520 --> 0:25:52.960
<v Speaker 1>in a little bit. Yeah. Like if you're screaming right now,

0:25:53.359 --> 0:25:55.840
<v Speaker 1>how awful this sounds, Well, we'll get to you later,

0:25:55.880 --> 0:26:01.159
<v Speaker 1>don't worry. UM. Another part of four point oh is

0:26:01.640 --> 0:26:04.520
<v Speaker 1>um trying to grow crops where it doesn't seem like

0:26:04.520 --> 0:26:07.840
<v Speaker 1>you should be able to grow crops. The desert is

0:26:07.840 --> 0:26:11.440
<v Speaker 1>obviously one of those places. Uh. Saludias are already investing

0:26:11.440 --> 0:26:16.120
<v Speaker 1>a lot in trying to UM figure out the genomic

0:26:16.200 --> 0:26:22.840
<v Speaker 1>codes or genomic genomic. I think both work. One seems British.

0:26:22.960 --> 0:26:26.600
<v Speaker 1>Well it's a genome, so it's probably genomic gentemic. That's

0:26:26.600 --> 0:26:31.000
<v Speaker 1>how the British had saved the genomic codes. Uh. These

0:26:31.000 --> 0:26:34.719
<v Speaker 1>plants that can withstand the desert conditions and figure out

0:26:34.720 --> 0:26:36.879
<v Speaker 1>how to grow stuff there. And this is kind of

0:26:36.880 --> 0:26:43.040
<v Speaker 1>where we wander gently into GMOs, which I think we've

0:26:43.440 --> 0:26:45.520
<v Speaker 1>have been dodging this one as a full topic for

0:26:45.560 --> 0:26:48.080
<v Speaker 1>a while to do it, we should at some point

0:26:48.119 --> 0:26:51.359
<v Speaker 1>because it is very controversial. It has a bad rap,

0:26:51.840 --> 0:26:55.320
<v Speaker 1>some people say, rightfully, so it has a bad rap

0:26:56.200 --> 0:27:01.640
<v Speaker 1>I think about Americans say they think GMOs um are

0:27:01.720 --> 0:27:05.720
<v Speaker 1>safe to eat, which is, you know, pretty pretty decent

0:27:05.760 --> 0:27:09.400
<v Speaker 1>minority there. Science says that they are safe to eat.

0:27:09.960 --> 0:27:13.320
<v Speaker 1>But for all this sort of bluster about GMOs, they

0:27:13.359 --> 0:27:17.639
<v Speaker 1>haven't really done a lot with GMOs yet, except for

0:27:17.680 --> 0:27:22.560
<v Speaker 1>a couple of a few little kind of dirty, underhanded things. Well, yeah,

0:27:22.600 --> 0:27:27.720
<v Speaker 1>like um creating patented um seeds that grow plants that

0:27:27.760 --> 0:27:31.000
<v Speaker 1>don't produce more seeds, so farmers are forced to buy

0:27:31.080 --> 0:27:34.680
<v Speaker 1>the seeds every single year. Yeah, that's a big one.

0:27:34.840 --> 0:27:38.399
<v Speaker 1>There's another one that only responds or responds best to

0:27:38.880 --> 0:27:43.720
<v Speaker 1>a specific brand of pesticide UM, so you have to

0:27:43.720 --> 0:27:46.480
<v Speaker 1>buy that brand of pesticide, which happens to be manufactured

0:27:46.520 --> 0:27:48.800
<v Speaker 1>by the same company that owns the patent on the plant.

0:27:49.280 --> 0:27:52.359
<v Speaker 1>It's kind of shady stuff like that. The thing is,

0:27:52.400 --> 0:27:55.120
<v Speaker 1>it's not like that's all they've tried to do. They've

0:27:55.160 --> 0:27:58.919
<v Speaker 1>also tried to have breakthroughs in you know, um like

0:27:59.040 --> 0:28:03.440
<v Speaker 1>plants that can withstand like horrible droughts, and they haven't

0:28:03.440 --> 0:28:06.000
<v Speaker 1>been able to break through in that that sense, or

0:28:06.480 --> 0:28:10.240
<v Speaker 1>plants that you know, produce double the yield with minimal inputs.

0:28:10.280 --> 0:28:12.600
<v Speaker 1>They haven't had that breakthrough. That doesn't mean they're not

0:28:12.680 --> 0:28:16.560
<v Speaker 1>going to break through that there won't be huge advances

0:28:16.600 --> 0:28:20.919
<v Speaker 1>and plants science. But even if we do reach that point, like,

0:28:21.000 --> 0:28:23.320
<v Speaker 1>there's going to have to also be like a public

0:28:23.359 --> 0:28:26.520
<v Speaker 1>information campaign that basically says like this stuff will not

0:28:26.680 --> 0:28:29.320
<v Speaker 1>mutate your children, it's safe to eat, it won't make

0:28:29.359 --> 0:28:34.080
<v Speaker 1>you glow. And there's definitely an enormous amount of fear

0:28:34.119 --> 0:28:37.760
<v Speaker 1>of science from what I can tell involved in GMOs.

0:28:37.880 --> 0:28:39.960
<v Speaker 1>I haven't done the research yet, so my opinion might

0:28:40.040 --> 0:28:42.840
<v Speaker 1>change when we actually do the episode, but from the

0:28:42.960 --> 0:28:45.160
<v Speaker 1>minimal research I did on it, it seems like a

0:28:45.560 --> 0:28:48.480
<v Speaker 1>fear of science. And as far as science is concerned,

0:28:48.520 --> 0:28:51.600
<v Speaker 1>it's it's everything we know about it, it's it's safe

0:28:51.680 --> 0:28:55.120
<v Speaker 1>to eat. Um. I don't know that will remain to

0:28:55.120 --> 0:28:57.200
<v Speaker 1>be seen. Let me do some more research first before

0:28:57.200 --> 0:29:00.040
<v Speaker 1>you quote me on that. Yeah, and I think of

0:29:00.120 --> 0:29:02.240
<v Speaker 1>the bad rep too. Is just like we were talking

0:29:02.280 --> 0:29:05.760
<v Speaker 1>about the couple of three uses so far that have

0:29:05.840 --> 0:29:09.920
<v Speaker 1>allowed certain companies to really take advantage of the situation.

0:29:10.040 --> 0:29:13.320
<v Speaker 1>Let's just yeah, it's not like giant mega corporations have

0:29:13.680 --> 0:29:16.000
<v Speaker 1>you know, garnered a lot of trust from the general

0:29:16.000 --> 0:29:18.960
<v Speaker 1>public over the years and in fact have squandered it

0:29:19.040 --> 0:29:24.720
<v Speaker 1>pretty pretty efficiently. Actually. Uh So, seawater farming is another

0:29:24.760 --> 0:29:27.680
<v Speaker 1>thing on the horizon, um, and there are a couple

0:29:27.760 --> 0:29:31.360
<v Speaker 1>of iterations of that, one of which is actually using

0:29:31.440 --> 0:29:35.280
<v Speaker 1>seawater to farm. And when we're not talking about spraying

0:29:35.280 --> 0:29:40.320
<v Speaker 1>plants obviously, we're talking like farming shrimp things that this working.

0:29:40.720 --> 0:29:43.880
<v Speaker 1>It's like idiocracy where they were using gatorade to water

0:29:43.960 --> 0:29:49.000
<v Speaker 1>the plants. Um. Yeah, like growing shrimp, farming shrimp. Um.

0:29:49.040 --> 0:29:51.440
<v Speaker 1>Because that protein demand that we were talking about, as

0:29:51.680 --> 0:29:55.240
<v Speaker 1>as developing nations get more money and they're gonna they're

0:29:55.240 --> 0:29:58.520
<v Speaker 1>gonna want more shrimp. I'll eat more shrimp. Remember when

0:29:58.520 --> 0:30:01.000
<v Speaker 1>you were allergic to shrimp? Yes, And I was like,

0:30:01.160 --> 0:30:02.640
<v Speaker 1>I am not going to spend the rest of my

0:30:02.680 --> 0:30:05.800
<v Speaker 1>life allergic to shrimp. And you figure it out sort

0:30:05.800 --> 0:30:09.760
<v Speaker 1>of right, I handled it. Um. There's a Japanese snack

0:30:09.960 --> 0:30:14.800
<v Speaker 1>called shrimp chips, and they're like little fried kind of

0:30:14.800 --> 0:30:19.160
<v Speaker 1>like French fries, but they're crispy um chips and they're

0:30:19.240 --> 0:30:23.000
<v Speaker 1>dusted with shrimp flavoring that include shrimp. And I just

0:30:23.120 --> 0:30:29.560
<v Speaker 1>kind of immunotherapy therapy or therapized myself immunize them myself

0:30:29.600 --> 0:30:32.040
<v Speaker 1>to them to shrimp so that I could eat them

0:30:32.040 --> 0:30:34.560
<v Speaker 1>again and it worked. You know, we should quickly thank

0:30:34.600 --> 0:30:38.320
<v Speaker 1>our scallop buddy. Oh, I think that's a great idea, man,

0:30:38.440 --> 0:30:42.960
<v Speaker 1>So huge, huge, huge thanks to our pal tog Braun

0:30:43.960 --> 0:30:47.120
<v Speaker 1>who just hooked us up, man, I mean hooked us

0:30:47.200 --> 0:30:52.120
<v Speaker 1>up with some amazing scallops. Yes, fresh ones. They have

0:30:52.200 --> 0:30:54.280
<v Speaker 1>been in the in the water like the day before

0:30:54.320 --> 0:30:57.560
<v Speaker 1>we got them, I believe, right. Yes, it was very fresh.

0:30:57.760 --> 0:31:00.480
<v Speaker 1>And I think her boat is the downiest day boat

0:31:00.560 --> 0:31:03.640
<v Speaker 1>out of main that's her company for sure. Yeah yeah, yeah,

0:31:03.640 --> 0:31:05.560
<v Speaker 1>but you can you can order this stuff and like

0:31:05.800 --> 0:31:08.080
<v Speaker 1>you can get the best scallops in the world sent

0:31:08.200 --> 0:31:11.200
<v Speaker 1>right to your door very quickly. And boy were they good.

0:31:11.400 --> 0:31:13.400
<v Speaker 1>I mean they were so fresh, dude, that the first

0:31:13.440 --> 0:31:17.480
<v Speaker 1>two three, alright, seventeen scallops I ate or raw, Like

0:31:17.520 --> 0:31:21.200
<v Speaker 1>I just ate them. I ate them raw. They were amazing. Yeah,

0:31:21.280 --> 0:31:23.760
<v Speaker 1>it was. It's really good. So I strongly recommend them

0:31:23.760 --> 0:31:26.280
<v Speaker 1>to hats off. Thanks a lot to I'm not the

0:31:26.280 --> 0:31:29.280
<v Speaker 1>biggest raw scalop person, but um, there was a lot

0:31:29.360 --> 0:31:32.160
<v Speaker 1>of butter and garlic involved in my scene. Yeah, and

0:31:32.200 --> 0:31:35.720
<v Speaker 1>they cooked up so nicely down the perfectly. Uh so, yeah,

0:31:35.800 --> 0:31:39.160
<v Speaker 1>thanks for that diversion since we were talking shellfish. But yeah,

0:31:39.240 --> 0:31:43.560
<v Speaker 1>farming shrimp for seawater farming. And another is where they

0:31:43.600 --> 0:31:47.240
<v Speaker 1>actually have greenhouses built that will you see water that

0:31:47.280 --> 0:31:50.800
<v Speaker 1>evaporate uh, the salt out of it into fresh water.

0:31:51.040 --> 0:31:53.479
<v Speaker 1>They can sell that salt, which is great and then

0:31:53.560 --> 0:31:56.600
<v Speaker 1>have that great delicious fresh water to irrigate their crops. Right,

0:31:57.360 --> 0:32:00.400
<v Speaker 1>and then um land uses a big problem to people

0:32:00.400 --> 0:32:02.200
<v Speaker 1>are like running out of lane. We need it to

0:32:02.240 --> 0:32:04.520
<v Speaker 1>live on and do other stuff on. Some people have said,

0:32:04.520 --> 0:32:08.320
<v Speaker 1>well how about this, we'll just grow stuff indoors vertically

0:32:08.440 --> 0:32:12.640
<v Speaker 1>rather than outdoors horizontally. I actually have a friend who's

0:32:12.640 --> 0:32:16.000
<v Speaker 1>engaged in this endeavor up in Jersey. He broke his teeth,

0:32:16.040 --> 0:32:20.080
<v Speaker 1>my friend Matt Um. He broke his teeth, not literally,

0:32:20.400 --> 0:32:25.720
<v Speaker 1>but he gained experience working on space lettuce for NASA. UM.

0:32:25.920 --> 0:32:29.520
<v Speaker 1>Like he's right, that's that's right. I was like, it

0:32:29.600 --> 0:32:33.520
<v Speaker 1>doesn't sound right. He cut his teeth. UM, and he's

0:32:33.520 --> 0:32:37.440
<v Speaker 1>an expert in UM like the like light spectrums, like

0:32:37.600 --> 0:32:42.360
<v Speaker 1>artificial light spectrums to grow plants in space. It's pretty awesome. Yeah,

0:32:42.360 --> 0:32:45.920
<v Speaker 1>it's amazing. Yes, So hey, Matt, should we take another

0:32:45.960 --> 0:32:47.760
<v Speaker 1>break and then talk about the other other side of

0:32:47.760 --> 0:32:56.240
<v Speaker 1>the coin. Here, hold on, let me think, yes, we'll

0:32:56.240 --> 0:33:24.840
<v Speaker 1>be right back, all right. So if we were talking

0:33:24.880 --> 0:33:31.400
<v Speaker 1>about all the benefits of consolidation of farms, bigger farms,

0:33:31.480 --> 0:33:35.920
<v Speaker 1>automation of farms, future farming, there is another group of

0:33:35.920 --> 0:33:39.520
<v Speaker 1>people that have been screaming for years. We don't want

0:33:39.560 --> 0:33:42.000
<v Speaker 1>to go that way. We should go back to to

0:33:42.160 --> 0:33:45.040
<v Speaker 1>the neat not know within necessary, but we should go

0:33:45.080 --> 0:33:49.959
<v Speaker 1>back to one period, oh and practice agro ecology. Uh.

0:33:50.040 --> 0:33:52.000
<v Speaker 1>And that's what I was that documentary I saw about

0:33:52.000 --> 0:33:53.880
<v Speaker 1>the biggest little farm. These people that moved from l

0:33:53.920 --> 0:33:58.200
<v Speaker 1>a too very impossibly or I guess, and probably start

0:33:58.240 --> 0:34:02.480
<v Speaker 1>their own farm where everything lives in harmony. There's livestock,

0:34:02.520 --> 0:34:06.240
<v Speaker 1>and there's wild animals, and there's pests that they say

0:34:06.240 --> 0:34:09.600
<v Speaker 1>are beneficial that they let live. And they really have

0:34:09.680 --> 0:34:13.960
<v Speaker 1>tried to figure out this idea that you know, you

0:34:14.000 --> 0:34:17.359
<v Speaker 1>can have a small farm that feeds people locally with

0:34:17.800 --> 0:34:20.640
<v Speaker 1>giving people fresh food and not transporting it halfway across

0:34:21.000 --> 0:34:24.480
<v Speaker 1>the country or the world. And that is the way forward,

0:34:24.640 --> 0:34:27.840
<v Speaker 1>not what we're heading towards with four point Oh. Yeah.

0:34:27.920 --> 0:34:30.759
<v Speaker 1>People who are proponents of agrocology are looking at the

0:34:30.840 --> 0:34:34.520
<v Speaker 1>other proposals for for for auto and they're like, you're

0:34:34.560 --> 0:34:37.799
<v Speaker 1>talking about genetically modifying plants so you can grow them

0:34:37.840 --> 0:34:40.920
<v Speaker 1>in the desert. Do you really not see that? We've

0:34:41.400 --> 0:34:44.600
<v Speaker 1>like we've really lost our way here, like let's figure

0:34:44.600 --> 0:34:47.440
<v Speaker 1>out something else. And they're saying like, look, you know,

0:34:47.480 --> 0:34:52.239
<v Speaker 1>we've really tried to UM. We tried this green revolution,

0:34:52.640 --> 0:34:56.480
<v Speaker 1>which basically the a good definition I saw for the

0:34:56.480 --> 0:35:01.879
<v Speaker 1>green revolution is where you take UM ecosystem services, which

0:35:01.920 --> 0:35:05.759
<v Speaker 1>is like natural pest control, like predatory insects or the

0:35:05.840 --> 0:35:10.799
<v Speaker 1>natural nutrient cycle UM, and you you manipulate them. You

0:35:10.800 --> 0:35:13.759
<v Speaker 1>you you create an artificial version of it that you

0:35:13.800 --> 0:35:16.400
<v Speaker 1>can control a lot more easily, and you use the

0:35:16.400 --> 0:35:18.080
<v Speaker 1>heck out of it to grow the heck out of

0:35:18.200 --> 0:35:21.319
<v Speaker 1>some plants. That's the green revolution there, Like we tried this,

0:35:22.040 --> 0:35:23.920
<v Speaker 1>it worked for a little while, but now we know

0:35:24.520 --> 0:35:28.240
<v Speaker 1>for sure that it is really harmful to the environment,

0:35:28.680 --> 0:35:31.200
<v Speaker 1>so we need to dial that back, not double down

0:35:31.280 --> 0:35:34.839
<v Speaker 1>on it. And that's UM. That's kind of that. That's

0:35:34.840 --> 0:35:37.680
<v Speaker 1>where this there's a tension. Now there's this split, there's

0:35:37.680 --> 0:35:40.160
<v Speaker 1>a we've reached a fork in the road, and we're like,

0:35:40.200 --> 0:35:42.479
<v Speaker 1>which way do we go. Do we just really keep

0:35:42.520 --> 0:35:45.879
<v Speaker 1>hammering this traditional farming because we know that we can

0:35:45.920 --> 0:35:50.200
<v Speaker 1>coax um enough food to feed some people or ten

0:35:50.239 --> 0:35:53.319
<v Speaker 1>billion people, or do we say no, we actually need

0:35:53.360 --> 0:35:56.400
<v Speaker 1>to go the agro ecology route because we have to

0:35:56.480 --> 0:35:59.920
<v Speaker 1>take into account basically just as much as our ability

0:35:59.960 --> 0:36:03.279
<v Speaker 1>to feed ten billion people, UM, the idea that we're

0:36:03.320 --> 0:36:06.680
<v Speaker 1>not harming the earth with our agricultural practices. That's the

0:36:06.719 --> 0:36:09.319
<v Speaker 1>split that we're looking at right now while we're trying

0:36:09.360 --> 0:36:12.400
<v Speaker 1>to figure out what four datto is going to be. Yeah,

0:36:12.440 --> 0:36:15.439
<v Speaker 1>and it seems like and Emily is way way into

0:36:15.520 --> 0:36:18.960
<v Speaker 1>this stuff with agroecology for years now, and it seems

0:36:18.960 --> 0:36:22.719
<v Speaker 1>like it's really all about the soil and the devastating

0:36:22.760 --> 0:36:26.920
<v Speaker 1>effects on the actual soil that UM, I guess the

0:36:26.960 --> 0:36:30.919
<v Speaker 1>green Revolution has has caused by all that manipulation. And

0:36:31.000 --> 0:36:33.880
<v Speaker 1>she has made an effort just in our little backyard

0:36:33.920 --> 0:36:36.160
<v Speaker 1>over the past, like whatever, how long we've been here

0:36:36.200 --> 0:36:41.440
<v Speaker 1>fourteen years to reclaim that soil and to make it

0:36:42.000 --> 0:36:45.799
<v Speaker 1>good soil again. And we've got great soil now. And

0:36:45.840 --> 0:36:48.839
<v Speaker 1>it's uh, it takes a long time because so much

0:36:48.920 --> 0:36:51.440
<v Speaker 1>damage has done over so many years. It's not the

0:36:51.480 --> 0:36:52.840
<v Speaker 1>kind of thing where you can just be like, all right,

0:36:52.840 --> 0:36:54.880
<v Speaker 1>we're gonna stop doing that, and then the soil is

0:36:54.920 --> 0:36:57.879
<v Speaker 1>gonna be great again. Right. Um. It takes many, many

0:36:57.960 --> 0:37:00.799
<v Speaker 1>years of really caring for that soil to get it

0:37:00.840 --> 0:37:04.560
<v Speaker 1>back where it began or as close to it as possible. Yeah,

0:37:04.600 --> 0:37:07.000
<v Speaker 1>and in some cases too, when you're talking about what

0:37:07.080 --> 0:37:11.359
<v Speaker 1>conventional and agriculture does to the soil as far as

0:37:11.480 --> 0:37:15.239
<v Speaker 1>like crop production is concerned, it's never going to get

0:37:15.360 --> 0:37:17.680
<v Speaker 1>okay again. It's never going to come back. And so

0:37:17.760 --> 0:37:21.839
<v Speaker 1>there's a process in conventional agriculture where you use up

0:37:21.960 --> 0:37:25.160
<v Speaker 1>a plot of land and you move on to the

0:37:25.160 --> 0:37:26.799
<v Speaker 1>next one, and when you run out of land, you

0:37:26.840 --> 0:37:31.200
<v Speaker 1>bring more crop land online into the food production sector.

0:37:31.600 --> 0:37:34.120
<v Speaker 1>And that's what you do. You you use up land

0:37:34.160 --> 0:37:37.240
<v Speaker 1>until you have to replace it by taking over more land.

0:37:37.600 --> 0:37:40.719
<v Speaker 1>That's the current iteration. Agro ecologies like you don't have

0:37:40.760 --> 0:37:42.840
<v Speaker 1>to do that if you just treat the soil like Emily.

0:37:43.000 --> 0:37:46.120
<v Speaker 1>This is their motto, Um, you where it's going to

0:37:46.239 --> 0:37:49.080
<v Speaker 1>be all good like you. You you don't have to

0:37:49.200 --> 0:37:52.439
<v Speaker 1>keep replacing land with more land because you don't use

0:37:52.600 --> 0:37:56.200
<v Speaker 1>up the land. You actually leave the land better off

0:37:56.280 --> 0:37:59.400
<v Speaker 1>than it was before you started. Using it. That to

0:37:59.480 --> 0:38:02.439
<v Speaker 1>me is thing that just makes my eyes pop open

0:38:02.480 --> 0:38:05.040
<v Speaker 1>and my heart just swell for I grow a college.

0:38:05.040 --> 0:38:08.520
<v Speaker 1>He's like, you're actually improving the land. And there have

0:38:08.640 --> 0:38:12.240
<v Speaker 1>been studies. I ran across a study of a place

0:38:12.320 --> 0:38:16.600
<v Speaker 1>called um white Oak Pastures down in how I can't

0:38:16.600 --> 0:38:18.880
<v Speaker 1>remember where it is. It's like south central Georgia, not

0:38:18.920 --> 0:38:23.680
<v Speaker 1>too far from albany Um. And they have actually they

0:38:23.840 --> 0:38:27.120
<v Speaker 1>they've hired independent researchers to come in and look at

0:38:27.320 --> 0:38:31.160
<v Speaker 1>the environmental impact of what they do, which is regenerative grazing.

0:38:31.680 --> 0:38:37.320
<v Speaker 1>And the study turned up findings that literally made international news.

0:38:37.520 --> 0:38:40.920
<v Speaker 1>That's how eye opening that what they found was. Yes,

0:38:41.080 --> 0:38:45.080
<v Speaker 1>so just a little backstory, reginatry Man, I knew I

0:38:45.120 --> 0:38:49.160
<v Speaker 1>was going to do that. Regenerative grazing is a very

0:38:49.200 --> 0:38:53.759
<v Speaker 1>simple premise. Basically, don't let your livestock eat all the

0:38:53.840 --> 0:38:57.399
<v Speaker 1>grass down to the nub where it will probably die,

0:38:57.920 --> 0:38:59.920
<v Speaker 1>and then just move them on to another area to

0:39:00.040 --> 0:39:03.879
<v Speaker 1>do the same thing. Um, move them more often, they

0:39:03.880 --> 0:39:06.680
<v Speaker 1>won't eat down to the nubs. Those plants and those

0:39:06.680 --> 0:39:10.439
<v Speaker 1>grasses will grow back even better probably, and you'll have

0:39:10.840 --> 0:39:12.680
<v Speaker 1>you know, you, like you said, you won't be using

0:39:12.719 --> 0:39:17.600
<v Speaker 1>up the land. So this study they looked at they

0:39:17.640 --> 0:39:20.960
<v Speaker 1>wanted to compare like the c O two costs of

0:39:21.040 --> 0:39:24.720
<v Speaker 1>industrial beef production, which is something that we've talked about before,

0:39:24.960 --> 0:39:29.040
<v Speaker 1>but traditional grazing emits and this is just astounding and awful.

0:39:29.960 --> 0:39:33.480
<v Speaker 1>Amidst thirty three pounds of c O two to raise

0:39:33.520 --> 0:39:37.560
<v Speaker 1>a single pound of meat. Uh, it's nuts. So you

0:39:37.600 --> 0:39:41.239
<v Speaker 1>go to plant based meat, um like a like a

0:39:41.320 --> 0:39:45.000
<v Speaker 1>beyond situation, right, which I still haven't tried. I want

0:39:45.000 --> 0:39:48.400
<v Speaker 1>to try that. There's a good, impossible and beyond all right,

0:39:48.880 --> 0:39:52.480
<v Speaker 1>So these meat alternatives made from plants, they really reduce

0:39:52.600 --> 0:39:54.520
<v Speaker 1>that to about three to three and a half to

0:39:54.600 --> 0:39:57.680
<v Speaker 1>four pounds of c O two first a single pound.

0:39:58.280 --> 0:40:01.279
<v Speaker 1>But at the kok that's good, you're on the right track.

0:40:01.320 --> 0:40:07.719
<v Speaker 1>But white oak is actually sequestering CEO two. It's amazing. Yeah.

0:40:07.920 --> 0:40:12.959
<v Speaker 1>So if meat alternatives emit about three and a half

0:40:13.040 --> 0:40:15.359
<v Speaker 1>kilograms or three and a half pounds of CEO two

0:40:15.400 --> 0:40:18.840
<v Speaker 1>per pound of meat alternative, white Oak pastors is raising

0:40:18.920 --> 0:40:23.560
<v Speaker 1>beef like like actual beef. And when they do, they

0:40:23.600 --> 0:40:28.279
<v Speaker 1>are sinking sequestering three point five pounds of c O

0:40:28.440 --> 0:40:31.680
<v Speaker 1>two for every pound of beef that's produced. There's like

0:40:31.800 --> 0:40:37.759
<v Speaker 1>having solar power and creating more energy than you use exactly. Yeah,

0:40:37.880 --> 0:40:40.920
<v Speaker 1>it's insane. These findings where and they've been like looked

0:40:40.960 --> 0:40:43.560
<v Speaker 1>at and studied and looked at again, and everybody's like,

0:40:43.600 --> 0:40:46.799
<v Speaker 1>this can't make sense. Apparently some of the UM meat

0:40:46.800 --> 0:40:50.640
<v Speaker 1>alternative companies out there were like, you know, this is

0:40:50.680 --> 0:40:52.759
<v Speaker 1>all wrong, this can't be right. And they were like,

0:40:53.040 --> 0:40:58.120
<v Speaker 1>it's actually right. Regenator and regenerative grazing produces livestock that

0:40:58.360 --> 0:41:03.200
<v Speaker 1>actually capture carbon and store it. It's insane. What are

0:41:03.239 --> 0:41:06.359
<v Speaker 1>you doing. We're just moving the cows a little more. Yeah,

0:41:06.400 --> 0:41:09.000
<v Speaker 1>that's basically it. And then they move them to another

0:41:09.080 --> 0:41:11.520
<v Speaker 1>meadow and and like when it's belly high, and then

0:41:11.520 --> 0:41:13.640
<v Speaker 1>they do it again. And like here's the thing. The

0:41:13.880 --> 0:41:16.399
<v Speaker 1>reason that everybody is not doing this already is because

0:41:16.400 --> 0:41:21.040
<v Speaker 1>it's way more expensive to regenera regeneratively graze. UM. If

0:41:21.080 --> 0:41:23.000
<v Speaker 1>you look at white Oak Pastures, you can order their

0:41:23.000 --> 0:41:27.680
<v Speaker 1>stuff online. Um, it's very expensive. It's not ridiculously expensive.

0:41:28.120 --> 0:41:32.720
<v Speaker 1>Like there's definitely like um long established mail order beef

0:41:32.800 --> 0:41:36.120
<v Speaker 1>companies that are three or four times of the price.

0:41:36.600 --> 0:41:39.400
<v Speaker 1>You know what I mean. It does sound gross, but

0:41:40.239 --> 0:41:43.040
<v Speaker 1>mail order beef. But it's some of those companies are

0:41:43.040 --> 0:41:45.359
<v Speaker 1>way more expensive, but it's still more than you're going

0:41:45.440 --> 0:41:47.240
<v Speaker 1>to go pay if you just go to the grocery

0:41:47.239 --> 0:41:50.680
<v Speaker 1>store and get whatever beef they have. But in buying that,

0:41:50.760 --> 0:41:53.800
<v Speaker 1>if you can afford it, you're actually helping to save

0:41:53.840 --> 0:41:58.040
<v Speaker 1>the earth. Um, it's it's pretty impressive stuff. Well yeah,

0:41:58.080 --> 0:42:00.200
<v Speaker 1>and that also helps solve the issue if you need

0:42:00.239 --> 0:42:04.840
<v Speaker 1>to feed uh, however, nine billion people but in the

0:42:04.880 --> 0:42:08.080
<v Speaker 1>next you know, thirty years. One of the big issues

0:42:08.200 --> 0:42:11.600
<v Speaker 1>is like do we even have enough land to do that? Like, well, yeah, dummies,

0:42:11.640 --> 0:42:13.960
<v Speaker 1>we might if we don't just use up land and

0:42:14.040 --> 0:42:16.400
<v Speaker 1>move on to new land. Because that's a big critics

0:42:16.520 --> 0:42:19.960
<v Speaker 1>criticism of regenerative grazing is it requires two point five

0:42:20.040 --> 0:42:23.239
<v Speaker 1>times the land that conventional grazing does, which is why

0:42:23.280 --> 0:42:26.040
<v Speaker 1>it's so much more expensive. But yeah, if if if

0:42:26.080 --> 0:42:27.600
<v Speaker 1>you're not using up the land and having to bring

0:42:27.640 --> 0:42:30.919
<v Speaker 1>more land in his crop land, then that issue might

0:42:30.960 --> 0:42:34.439
<v Speaker 1>not actually exist. That might not be a problem, right, Yeah,

0:42:35.080 --> 0:42:38.919
<v Speaker 1>pretty impressive, super impressive. I think the last thing here

0:42:39.760 --> 0:42:41.680
<v Speaker 1>as far as future farming goes as we need to

0:42:41.719 --> 0:42:45.040
<v Speaker 1>hit on food waste, which is I mean, if they could,

0:42:45.480 --> 0:42:48.719
<v Speaker 1>if they could reduce food waste by thirty that would

0:42:48.719 --> 0:42:51.799
<v Speaker 1>be a game changer for feeding the world. I think

0:42:51.920 --> 0:42:55.440
<v Speaker 1>right now, it takes a land mass larger than China

0:42:55.680 --> 0:43:00.600
<v Speaker 1>to grow food that goes uneaten ultimately une eaten. The

0:43:00.640 --> 0:43:05.520
<v Speaker 1>size of China, it's like it's hard to even talk

0:43:05.520 --> 0:43:08.919
<v Speaker 1>about without getting like super upset. So food waste also

0:43:09.000 --> 0:43:11.439
<v Speaker 1>needs to be an episode that we have to do

0:43:11.640 --> 0:43:14.360
<v Speaker 1>because it is just so mind boggling. But from what

0:43:14.440 --> 0:43:17.759
<v Speaker 1>I saw, up to fifty of the food that America

0:43:18.080 --> 0:43:22.200
<v Speaker 1>produces is thrown away, or if that Americans buy maybe

0:43:22.560 --> 0:43:25.920
<v Speaker 1>I'm not quite sure, but in America about thirty in

0:43:25.920 --> 0:43:29.759
<v Speaker 1>the world overall, a ton of water is wasted. I

0:43:29.800 --> 0:43:32.680
<v Speaker 1>saw as much as um. A quarter of the world's

0:43:32.680 --> 0:43:36.480
<v Speaker 1>water is wasted through this wasted food our fresh water

0:43:37.000 --> 0:43:42.480
<v Speaker 1>intake um. And if you can just dial back a

0:43:42.520 --> 0:43:46.279
<v Speaker 1>significant portion of that food waste um, not only are

0:43:46.280 --> 0:43:47.600
<v Speaker 1>you gonna save a lot of money and a lot

0:43:47.640 --> 0:43:50.240
<v Speaker 1>of environmental harm, you're gonna feed a lot of people.

0:43:50.480 --> 0:43:53.520
<v Speaker 1>Because it's like you said earlier, our foods, food supply

0:43:53.640 --> 0:43:57.560
<v Speaker 1>or food chain is globally interconnected. So we make enough

0:43:57.560 --> 0:44:01.560
<v Speaker 1>food already for a lot of people, probably everybody. It's

0:44:01.600 --> 0:44:04.680
<v Speaker 1>just some people go hungry because we waste so much

0:44:04.719 --> 0:44:07.920
<v Speaker 1>food and we're terrible at distributing it equitably. If we

0:44:07.960 --> 0:44:10.560
<v Speaker 1>can figure that out, we may not have a problem

0:44:10.600 --> 0:44:15.560
<v Speaker 1>at all. And it's possible that agro um ecological farming

0:44:15.880 --> 0:44:19.680
<v Speaker 1>could supply food for ten billion people. That's a big one.

0:44:19.680 --> 0:44:22.640
<v Speaker 1>There's studies underway right now to figure out just what

0:44:22.760 --> 0:44:26.480
<v Speaker 1>kind of gap we're talking about between uh say, organic

0:44:26.560 --> 0:44:31.200
<v Speaker 1>or agro ecological crop yields and conventional crop yields. And

0:44:31.239 --> 0:44:32.680
<v Speaker 1>for a long time where he's like, yeah, you just

0:44:32.719 --> 0:44:35.399
<v Speaker 1>get way more food from conventional farming, and some people

0:44:35.440 --> 0:44:37.959
<v Speaker 1>are actually doing the studies and they're finding like, yeah,

0:44:38.000 --> 0:44:40.440
<v Speaker 1>that's true in some cases, not true in other cases.

0:44:40.480 --> 0:44:43.080
<v Speaker 1>And if we can quantify exactly what the gap is,

0:44:43.360 --> 0:44:45.040
<v Speaker 1>we can figure out how to close that gap. And

0:44:45.080 --> 0:44:48.680
<v Speaker 1>then yeah, we can just use agro ecology. Yeah, and

0:44:48.719 --> 0:44:50.319
<v Speaker 1>I think this, you know, the fork in the road

0:44:50.360 --> 0:44:54.319
<v Speaker 1>where we are hopefully what it will look like. It's

0:44:54.400 --> 0:44:56.399
<v Speaker 1>not a hard left turn or a hard right turn,

0:44:57.080 --> 0:45:02.160
<v Speaker 1>but maybe a gentle turn on both sides that eventually

0:45:02.160 --> 0:45:05.719
<v Speaker 1>come back together down the road where there's a mix

0:45:05.760 --> 0:45:09.400
<v Speaker 1>of both, where there is precision farming um used in

0:45:09.480 --> 0:45:13.520
<v Speaker 1>agroecology because they're not. I mean, I suppose there are

0:45:13.520 --> 0:45:17.880
<v Speaker 1>some really back to basics agro uh ecological farmers that,

0:45:18.480 --> 0:45:21.360
<v Speaker 1>you know, I want to have an oxen pulling a

0:45:21.400 --> 0:45:27.000
<v Speaker 1>plow the Amish. Yeah, probably just them. The point is

0:45:27.000 --> 0:45:29.439
<v Speaker 1>they're they're into it, man. I mean, they don't mind

0:45:29.520 --> 0:45:33.560
<v Speaker 1>the idea of a robot and in precision weeding and

0:45:33.600 --> 0:45:38.440
<v Speaker 1>stuff like that. Uh, it's it's these massive farms and

0:45:38.520 --> 0:45:40.719
<v Speaker 1>all this waste is what they're trying to combat. So

0:45:40.760 --> 0:45:43.480
<v Speaker 1>hopefully they can there can be a marriage and that

0:45:43.520 --> 0:45:46.080
<v Speaker 1>can be the best way forward. Yeah, that's what I'm

0:45:46.080 --> 0:45:50.160
<v Speaker 1>hoping to Pretty cool stuff, man, who knew? Great? I

0:45:50.200 --> 0:45:53.160
<v Speaker 1>love it, um and we got two episode ideas out

0:45:53.160 --> 0:45:56.799
<v Speaker 1>of it. So there you go. Uh, if you want

0:45:56.840 --> 0:45:59.520
<v Speaker 1>to know more about the future of farming, to start

0:45:59.520 --> 0:46:01.800
<v Speaker 1>reading a if. There's a lot of really interesting stuff

0:46:01.800 --> 0:46:03.960
<v Speaker 1>out there. And since I said that, it's time for

0:46:04.000 --> 0:46:09.359
<v Speaker 1>a listener mail. This is kind of fitting. Actually this

0:46:09.400 --> 0:46:13.600
<v Speaker 1>is about hydrology. Hey, guys, have a PhD in hydrology

0:46:14.360 --> 0:46:18.200
<v Speaker 1>and teach hydrology and water resources at a university. One

0:46:18.239 --> 0:46:21.520
<v Speaker 1>of the misconceptions I'm constantly battling and my courses is

0:46:21.560 --> 0:46:24.400
<v Speaker 1>that water is a renewable resource, which is something we

0:46:24.440 --> 0:46:28.759
<v Speaker 1>said in the episode on hydro power, because it's only

0:46:28.800 --> 0:46:31.680
<v Speaker 1>renewable if we use it as such. I often use

0:46:31.680 --> 0:46:34.760
<v Speaker 1>the money analogies to teach this point to my students.

0:46:35.560 --> 0:46:39.440
<v Speaker 1>Imagine your load your local hydrologic water balance is like

0:46:39.480 --> 0:46:42.279
<v Speaker 1>having a rather large inheritance, and you are unable to

0:46:42.320 --> 0:46:45.120
<v Speaker 1>ever work again or make money. As long as you

0:46:45.120 --> 0:46:46.960
<v Speaker 1>live off the interest, you and your family can live

0:46:46.960 --> 0:46:49.920
<v Speaker 1>forever without ever working. But if you spend the principle,

0:46:50.320 --> 0:46:52.799
<v Speaker 1>you'll eventually run out of money. It's the same with water.

0:46:53.280 --> 0:46:55.880
<v Speaker 1>If you only use the renewable water, you won't have

0:46:55.920 --> 0:46:59.440
<v Speaker 1>an issue, as Josh noted, But if you lower lake levels,

0:46:59.440 --> 0:47:02.520
<v Speaker 1>deplete ground water and melt ice caps, you will eventually

0:47:02.600 --> 0:47:06.040
<v Speaker 1>run out of renewable water. You might ask, but it'll

0:47:06.120 --> 0:47:09.239
<v Speaker 1>just rain again, right, And that's true, but not enough

0:47:09.239 --> 0:47:12.000
<v Speaker 1>to refill the pot or the interest to refill the

0:47:12.040 --> 0:47:15.280
<v Speaker 1>bank account. The money isn't gone, it's just in someone

0:47:15.320 --> 0:47:18.360
<v Speaker 1>else's pocket. Similarly, the water isn't gone, it's just in

0:47:18.400 --> 0:47:22.080
<v Speaker 1>someone else's watershed. Were most likely the salty oceans which

0:47:22.120 --> 0:47:29.239
<v Speaker 1>we can't drink uh. That is Dr Pete Whittington, Associate

0:47:29.280 --> 0:47:35.239
<v Speaker 1>professor at Brandon University, Dr Pete. Dr Pete. Dr Pete

0:47:35.280 --> 0:47:38.640
<v Speaker 1>sounds like one of those people who still continue to

0:47:38.760 --> 0:47:42.440
<v Speaker 1>insist that climate change is real even though it's cold outside.

0:47:43.680 --> 0:47:48.560
<v Speaker 1>You know, right, smart, Well, thanks a lot, Dr Pete.

0:47:48.600 --> 0:47:51.719
<v Speaker 1>We appreciate being set straight. Thank you. Um, and that

0:47:51.880 --> 0:47:55.400
<v Speaker 1>is an excellent point. Um. Yeah, I don't I didn't

0:47:55.400 --> 0:47:59.120
<v Speaker 1>mean to get across this idea that you know, just

0:47:59.360 --> 0:48:01.080
<v Speaker 1>there's water. If we're wearing, we don't need to worry

0:48:01.080 --> 0:48:04.000
<v Speaker 1>about water. No, I think you got it mostly right,

0:48:04.000 --> 0:48:08.600
<v Speaker 1>he said. Good. I love hearing that. So. Um, you

0:48:08.640 --> 0:48:12.719
<v Speaker 1>got anything else from Dr Pete? Nothing else? Okay? Well then, everybody,

0:48:12.800 --> 0:48:14.120
<v Speaker 1>if you want to get in touch of this, like

0:48:14.239 --> 0:48:17.120
<v Speaker 1>Dr Pete did, you can send us an email. Send

0:48:17.160 --> 0:48:23.400
<v Speaker 1>it off to stuff podcast at iHeart radio dot com.

0:48:23.480 --> 0:48:25.680
<v Speaker 1>Stuff you Should Know is a production of iHeart Radio.

0:48:26.120 --> 0:48:28.360
<v Speaker 1>For more podcasts for my heart Radio, visit the iHeart

0:48:28.400 --> 0:48:30.920
<v Speaker 1>Radio app, Apple Podcasts, or wherever you listen to your

0:48:30.920 --> 0:48:31.600
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