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Speaker 1: My name is Klay Nukeleman. This is a production of

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Speaker 1: the bear Grease podcast called The Bear Grease Render, where

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Speaker 1: we render down, dive deeper, and look behind the scenes

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Speaker 1: of the actual bear Grease podcast, presented by f h

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Speaker 1: F Gear, American Maid, purpose built hunting and fishing gear

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Speaker 1: that's designed to be as rugged as the place as

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Speaker 1: we explore.

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Speaker 2: Are we recording, We are recording. Thank you, mister. See.

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Speaker 1: You don't drink coffee, no, sir, Never, never like me.

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Speaker 3: I tried it several times, different ways, different shapes, colors, flavors, earlanging.

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Speaker 1: It didn't like it, didn't like it.

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Speaker 4: Never never.

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Speaker 1: Never did tobacco.

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Speaker 4: Yes, I did tobacco for a while.

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Speaker 1: Oh does your mom.

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Speaker 4: Know you have my mom name?

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Speaker 1: You quit?

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Speaker 4: Yeah? I quit?

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Speaker 1: Uh? You never smoked.

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Speaker 5: He doesn't drink coke, don't drink soda.

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Speaker 4: Well, like I said, I don't drink very many, but

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Speaker 4: I drink some once in a while. If we're somewhere

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Speaker 4: and the water's.

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Speaker 3: Bad, then I won't drink water. So but that's what

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Speaker 3: I drank, mostly water.

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Speaker 5: That's pretty good.

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Speaker 1: So you said right before we started, you said that

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Speaker 1: you used the term that I wasn't I mean, I

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Speaker 1: was mildly familiar with it. I didn't know the exact context.

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Speaker 1: You said your dad made stock racks id sassafras.

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Speaker 4: Wood and cucumber wood.

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Speaker 1: So tell us what a stock rack is.

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Speaker 3: Well, a stock rack when I was growing up was

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Speaker 3: hardly anybody had any stock trailers or anything. And so

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Speaker 3: I grew up on the farm and Dad would build

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Speaker 3: stock racks to fit his farm trucks. And you'd take

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Speaker 3: you take the lumber, and he like lightweight lumber that

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Speaker 3: was tough, and sasfras was one of them.

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Speaker 4: Cucumber was another one.

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Speaker 3: And he had saw it down and planed it out,

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Speaker 3: and then he'd build a stock rat and he'd make

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Speaker 3: four sections, one on each side of the bed that

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Speaker 3: went in the post holes in the style of old trucks.

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Speaker 3: Most trucks don't have that anymore, like a flatbed. No, no,

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Speaker 3: like a bed truck, a truck with a bed. But

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Speaker 3: they had the old trucks like his old sixty four

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Speaker 3: ford I grew up riding around in had four had

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Speaker 3: had six holes, and it had two up front behind

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Speaker 3: a cab, two in the middle, and two of it

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Speaker 3: back by the back tail.

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Speaker 1: Game so have been like wooden like four before he

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Speaker 1: would have made.

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Speaker 3: I think they were like two batoos is what they were.

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Speaker 3: But he made them and then he screwed the slats

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Speaker 3: to it to have a high. He wanted to make

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Speaker 3: the rack if it was you know.

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Speaker 1: And what would he haul in there?

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Speaker 3: He hauled everything that we raised out on the farm.

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Speaker 3: He hauled hogs, he hauled cattle, you know, just anything

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Speaker 3: that the animal we grew. That's how he hauled them

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Speaker 3: to sell them, whether we took them to the stockyards

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Speaker 3: or where they saw them.

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Speaker 1: So we got on this subject because you asked Bear,

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Speaker 1: how big a chunk of sassafras would it take to

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Speaker 1: make a bow?

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Speaker 4: Yeah?

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Speaker 6: Yeah?

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Speaker 5: Do they?

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Speaker 1: Are they making bows out of sassafras. I've seen some

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Speaker 1: people make them out of sas fris. It's not like

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Speaker 1: a real common wood to make them out of. I'll

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Speaker 1: tell you what I am curious about those. Cucumber wood. Yeah,

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Speaker 1: like magnolia.

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Speaker 4: I think it is a type of magnolia tree.

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Speaker 1: Big leaf.

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Speaker 4: Yeah, they got big leaves on them and cucumbers. No,

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Speaker 4: that's the name of the tree though.

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Speaker 1: That's that's all I carry. Is it the one that

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Speaker 1: has the big old like long leaves or are we

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Speaker 1: talking about.

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Speaker 3: Something it's got big leaves on it. It's got big

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Speaker 3: leaves on it, but it doesn't it what's the wood like?

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Speaker 3: It's well, it's it's a light wood, but it's pretty

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Speaker 3: tough wood. A lot of the old meal sets used

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Speaker 3: to like to get it to make flat plane lumber

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Speaker 3: out of and stuff that didn't.

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Speaker 1: It was a big big it gets big, it gets

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Speaker 1: you know big. That's not what I'm talking I'm talking

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Speaker 1: about an umbrella magnolia, which is not a cute got it.

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Speaker 4: Okay, they have blooms on them, the one you're talking about.

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Speaker 1: Yeah, yeah, the big long leaves. But okay, you're making

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Speaker 1: an elmbow. Yeah, and it's kind of been our mission

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Speaker 1: to degrade elm like campaign. I'm like almost done with

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Speaker 1: the bow and like it is only getting worse the

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Speaker 1: far into it.

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Speaker 4: Yeah and more.

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Speaker 1: Well, you know this is this this show is child

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Speaker 1: friendly and ultimately it's Misty Nukem approved. So I can't

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Speaker 1: say the word that people call that tree, but I

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Speaker 1: will spell it. They call them p I S S elms. Yeah,

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Speaker 1: I see, Yeah, I haven't heard say that in school.

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Speaker 1: Can we well comb mm hmm so anyway, it's not

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Speaker 1: a good tree. It's I mean, it makes a halfway

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Speaker 1: decent bow, but it is just the most difficult wood

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Speaker 1: to work with. I've been trying to heat the top

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Speaker 1: limb into just like being straight for the last I mean,

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Speaker 1: that's what I've been doing the last four days. I

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Speaker 1: mean like for hours a day, because you gotta let

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Speaker 1: it sit to cool. So it takes a really long

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Speaker 1: time and I'll heat it just like smoking hot, let

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Speaker 1: it sit, come back like three hours later, take it

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Speaker 1: out of the jig, and it'll just snap right back

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Speaker 1: to where it was. Man, and I mean, Elm it is.

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Speaker 1: And the other thing that I don't understand about it

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Speaker 1: is I had this like perfect tailor on it, like

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Speaker 1: the limbs bended like perfectly even, and then I just

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Speaker 1: put a little bit of recurve in it, and all

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Speaker 1: of a sudden, the top limb is like totally flat

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Speaker 1: and the bottom limb is like real flexible. So that

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Speaker 1: was probably on my end, but I'm gonna blame it

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Speaker 1: on the ELM. Yeah might as well.

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Speaker 4: Wood.

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Speaker 1: It's a pretty pretty good topic to start off a

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Speaker 1: bear greash render about, yep, So welcome to the beargeras render.

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Speaker 1: We've got uh doctor, mister newcom here today. Pretty glad

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Speaker 1: to see you. We got Mo Shepherd. Mo longtime friend

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Speaker 1: of mine, biggest hillbilly I know. And so that's why

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Speaker 1: he's you didn't know, Well, now now I actually learned

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Speaker 1: a minute ago. You were. You were in the eighties.

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Speaker 1: Tell me the story about your potential profession.

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Speaker 3: Yeah, when I was twenty, in my early twenties. I

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Speaker 3: don't remember the exact age, but it was in the

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Speaker 3: early eighties. I had the opportunity. At the time, I

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Speaker 3: was working with the US for Service, and I had

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Speaker 3: the opportunity to to expand my career because I helped

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Speaker 3: some game ball just with the Gaming Fish do some

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Speaker 3: bear study on a bear den and stuff. And when

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Speaker 3: we got through then I kind of became friends with

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Speaker 3: her and they said you'd be good at this type

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Speaker 3: of stuff. I said, work this kind of stuff. They

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Speaker 3: working with the game Fish said you are to think

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Speaker 3: about being a warden, and it got me interested. So

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Speaker 3: I went through the whole process of.

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Speaker 4: Doing it.

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Speaker 3: I got in the process, I got letters of recommendation

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Speaker 3: sent in for me, I got the paperwork all done,

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Speaker 3: and I was accepted and I was supposed to go

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Speaker 3: to the Mayflower Academy down in Arkansas down here to start.

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Speaker 4: The police part of it, the candy part of law

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Speaker 4: enforcement part of it.

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Speaker 3: I was around two weeks of it and I got

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Speaker 3: a call from the Game and Fish and they said,

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Speaker 3: we've got bad news for you. And I said what

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Speaker 3: And they said, well, said, our governor has just issue.

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Speaker 4: To deal and he says that we was Bill Clinton?

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Speaker 4: Who was Bill Clinton? And he said we will have it.

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Speaker 3: Nobody working as a game warden or biologist or anything

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Speaker 3: through the Game and Fish that doesn't have a four.

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Speaker 4: Year college degree and I didn't have. I have a

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Speaker 4: remotech degree. So that put a stop to it, and

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Speaker 4: I never pursued it any far weak.

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Speaker 1: All that Hill Billy prejudiced, as as doctor Brooks Levin

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Speaker 1: said that part of you know, having a regional dialect,

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Speaker 1: and specifically the dialect of the ozark and Appalachians typically

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Speaker 1: is associated with lack of education. So here we have

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Speaker 1: a man fully qualified that can't get a job after

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Speaker 1: he applied for it to Bill the number one he'll

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Speaker 1: Billy man, I told, I said, I don't know if

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Speaker 1: me and you would could have been friends, if you'd

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Speaker 1: have been a game Morton, it was a joke. We laughed.

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Speaker 4: Yeah, we laughed about it.

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Speaker 1: It was funny the first time said it Mo. Good

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Speaker 1: to see it. Thanks for that was good. That was good.

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Speaker 1: We've got Josh Spilmaker, who was on the Bear Grease

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Speaker 1: podcast my crowning moment, yeah, account as a feature guest,

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Speaker 1: and Bear John Newcomb also my debut on the Official

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Speaker 1: Bear Was it for real?

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Speaker 2: Hey?

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Speaker 1: I never I've never been on the main podcast.

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Speaker 4: He's been on several renders they hurt the most.

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Speaker 1: Yeah, yeah, now most been on there so many times

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Speaker 1: he can't even count.

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Speaker 4: I've only got fingers.

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Speaker 1: Yeah. And then we have Colby morehead of Bear Hunting Magazine,

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Speaker 1: just so everybody knows a little bit of the backstory.

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Speaker 1: I you know, it's only been four years, I guess

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Speaker 1: since I was. I did Bear Hunting Magazine for for

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Speaker 1: an eight year period and Kolbe worked for me. Moved

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Speaker 1: up from Texas to Arkansas, and long before I had

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Speaker 1: any knowledge of that I was gonna be working for

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Speaker 1: Meat Eater. Kobe worked for Bear Hunting Magazine, and then

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Speaker 1: when I left and went to Meat Eater, Colby completely

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Speaker 1: took over the magazine. It's his business. So you've been

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Speaker 1: running it now for three years years? Yeah, three years,

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Speaker 1: wasn't it. Yeah, I turned to a dog kennel. I

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Speaker 1: think that was my idea, the dog kentle Yeah, okay,

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Speaker 1: it turned out nice though.

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Speaker 4: Look out, well Bear Hunt magazine is doing now.

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Speaker 1: It's doing great. Yeah yeah, yeah under.

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Speaker 5: The leadership, especially the last three years.

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Speaker 6: It was crazy. I bought the magazine and I got

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Speaker 6: married a week and a half later. Like big just

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Speaker 6: kicked on all the changes.

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Speaker 1: Picked up on it. Hey show us that bear, so

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Speaker 1: we're gonna we're gonna score a bear real quick. So

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Speaker 1: this bear was a big bear. Yeah, you weren't able

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Speaker 1: to weigh.

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Speaker 6: We had to pack it out. But oh it was well.

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Speaker 6: I was guessing four fifty. But after seeing a bear

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Speaker 6: I got in Saskatchewan this year, he was a lot

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Speaker 6: bigger than that one. Like the one.

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Speaker 4: Yeah, we need, uh, we need something to set this up,

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Speaker 4: that saskatchwe bear.

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Speaker 1: Wait, we'll put it on the saddle. We'll put it

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Speaker 1: on the saddle. So when you score a bear, you're

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Speaker 1: you're getting h You're getting you're getting two measurements. You're

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Speaker 1: you're measuring the longest distance between the this occipital bone

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Speaker 1: and then the usually the front teeth, Like if the

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Speaker 1: bear didn't have teeth, you would just measure whatever's the

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Speaker 1: furthest out front. So you're taking that measurement, and then

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Speaker 1: you're measuring in between what they call the zygomatic arches.

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Speaker 1: So it's just two measurements. And now what the reason

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Speaker 1: we got I got interested in scoring this bear is

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Speaker 1: that this was a huge bear. And I would if

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Speaker 1: you'd have said cloud killed at four and fifty pounds bear,

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Speaker 1: I would have said guaranteed over nineteen. Yeah, and we'll see.

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Speaker 1: So this is what they use at Boon and Crockett

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Speaker 1: to caliper measure bears. They also have a bear box

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Speaker 1: that's actually better than these. Is that a Kansas bear? Yeah,

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Speaker 1: I put it right. Get that stretched out for me, Kobe,

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Speaker 1: so we can So we're we're we're just measuring the bear.

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Speaker 1: I've got these big calipers and I'm getting them measured,

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Speaker 1: getting them for those in the audience here.

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Speaker 4: He's using calipers and then using an old war out

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Speaker 4: tape measures.

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Speaker 1: Yeah, exactly. Okay, we're gonna call that the length. So

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Speaker 1: remember this number. We're gonna go by sixteenths, So it's

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Speaker 1: eleven and oh goodness, gracious tough man, three little marks,

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Speaker 1: eight ten, six, ten, sixteenths. And you don't you don't

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Speaker 1: reduce the fraction? Am I? Right? Coby? Is that eleven

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Speaker 1: and ten sixteen? I think so it's one, two, three, four, five, six, seven,

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Speaker 1: eight nine ten. We're gonna call it eleven, eleven and

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Speaker 1: eleven sixteenths. Okay. And then on the zygomatic arch bear skulls,

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Speaker 1: there's there's a big debate in the bear scoring world

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Speaker 1: of do bear skulls get bigger as a bear gets bigger?

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Speaker 1: You know, like they definitely grow, like it takes them

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Speaker 1: a long time to mature. But I've never found an

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Speaker 1: academic source or just somebody that really knew that wasn't anecdotal.

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Speaker 1: Like I've got an opinion, but I have nothing to

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Speaker 1: back it. But like I think, once they get about

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Speaker 1: six years old, the skull doesn't really get any bigger.

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Speaker 1: It would be like does your head get bigger after

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Speaker 1: you're twenty five years old? Like does your face get bigger?

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Speaker 6: My forehead?

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Speaker 1: So is your head gotten bigger?

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Speaker 2: Big?

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Speaker 1: Are you?

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Speaker 4: Yeah?

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Speaker 1: Because all the big bucks.

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Speaker 4: You've killed or a big bears and everything.

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Speaker 1: Okay, I thought for a minute, you're being serious, It's like,

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Speaker 1: really your hat size has changed. Okay, there's the zygomatic

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Speaker 1: arches because you might kill a really old bear. We're

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Speaker 1: gonna call that six in eight sixteenths.

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Speaker 4: So do the math eighteen and eleven and ten eight?

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Speaker 2: Is it?

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Speaker 1: Really?

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Speaker 4: That's just what I went through my head. See how

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Speaker 4: close I was it was?

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Speaker 1: It was what it was eleven and eleven sixteenths plus

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Speaker 1: eight five eight, but I think it eight eighteen I

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Speaker 1: think be eight and the a little over that eighteen?

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Speaker 2: What was what was the second measurement?

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Speaker 1: What was six eight sixteenths? Wait a minute, calculator. So wow,

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Speaker 1: we're just like, I think this is rivating podcast material

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Speaker 1: for all you adiout that sixteen eighteen and three sixteenth Okay,

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Speaker 1: So that really surprises me. I think that that was

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Speaker 1: a I mean a mature board. It's not like a juvenile,

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Speaker 1: but not a real old one young and it didn't

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Speaker 1: have a big skull and a lot of times too,

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Speaker 1: we've not got the tooth age back on the spare,

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Speaker 1: but the a unger bear has a real slick skull,

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Speaker 1: and one that is older just has a lot of

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Speaker 1: a lot of like it almost looks like a coral

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Speaker 1: reef on its head. And yeah, it's got.

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Speaker 5: Kind of like what it looks like inside.

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Speaker 1: Sinuses. At least that's wild, that's cool.

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Speaker 6: It was the bear that I'm working three.

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Speaker 1: Sixteenths okay, eighteen three sixteen.

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Speaker 2: Sharp on the top.

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Speaker 5: Yeah, that he's nineteen a marker of some.

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Speaker 1: Agent young and twenty good question. And twenty is the

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Speaker 1: minimum for Boone and Crockett. Twenty one is the minimum

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Speaker 1: for all time. So Boone and Crockett has when you

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Speaker 1: hear somebody say that's a Boon and Crockett deer, that's

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Speaker 1: a Boon and Crockett bear. That the story is actually

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Speaker 1: a little bit more complex than that because Boone Crockett

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Speaker 1: has two record books. They have the three year record Book,

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Speaker 1: which the minimum is lower, and that means every three

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Speaker 1: years they make a record book, they print a book.

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Speaker 1: I've got one in here somewhere, and if you kill

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Speaker 1: a bear over twenty inches during that three year period,

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Speaker 1: your name will appear in the record books. Those who

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Speaker 1: kill a bear that scores twenty one is in the

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Speaker 1: all time record books, which means if you had killed

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Speaker 1: a bear in the nineteen nineties that scored over twenty

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Speaker 1: one inches, which would have just really been something. It

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Speaker 1: would it would remain in every single record book. So

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Speaker 1: I killed a bear in twenty fifteen that scored twenty

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Speaker 1: and eight sixteenths. It was in that one book, but

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Speaker 1: it won't be in all the rest of them. Does

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Speaker 1: that make sense? So every animal, every Boon and Crockett animal,

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Speaker 1: actually has a all time record and the minimum Boon

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Speaker 1: and Crockett entry. And so you hear people throw around

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Speaker 1: all the time one hundred and seventy inch typical white

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Speaker 1: tail as a Boon and Crockett like guys constantly say, oh,

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Speaker 1: that's a booner. One seventy. Actually one sixty is a

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Speaker 1: booner because one sixty gets you in the three year

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Speaker 1: period record book. But but but one seventy is what

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Speaker 1: people picked up. Yeah, yes, and and with with white

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Speaker 1: tailed deer. And this is another thing that you know,

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Speaker 1: it's just like things change in the in kind of

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Speaker 1: like the working vocabulary of all this stuff is that

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Speaker 1: the Boon and Crockett like you might kill a non

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Speaker 1: typical buck that scored one seventy and you'd be like, man,

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Speaker 1: I killed a booner. People would say that like NonStop

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Speaker 1: but the Boon and Crockett minimum for a non typical

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Speaker 1: is actually I'm pretty sure it's one eighty five. It's

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Speaker 1: been a long time since I've even looked at it.

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Speaker 1: I thought, is it one five? Probably, you're right, I

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Speaker 1: think in the in the that's all time. I think

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Speaker 1: the other one is one eighty five. The other entry anyway,

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Speaker 1: where you wild the Boon.

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Speaker 5: And Crockett deer, No, no, no, no Boot and Crockett,

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Speaker 5: No boot Crockett anything.

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Speaker 1: The only the only animal I ever killed that scored

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Speaker 1: Boon and Crocket minimum was a bear.

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Speaker 5: So you have killed a boot and Crocket bear. I

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Speaker 5: have minimum, but not all.

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Speaker 1: Time twenty and eight sixteens.

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Speaker 2: You would have needed twenty one to be able. Yeah,

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Speaker 2: that's a big bear.

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Speaker 1: That's you could You could kill one hundred bears and

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Speaker 1: not kill a boot and Crocket bear. Have you ever

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Speaker 1: killed one over? You've killed one over?

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Speaker 4: Twenty had No, That's why I was telling you.

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Speaker 3: I've killed eleven bears and my base one was nineteen

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Speaker 3: and fourteen sixteens.

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Speaker 4: Yeah, to be precise on the measurement.

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Speaker 1: So yeah, there's something about those high nineteens that I mean,

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Speaker 1: that's a big bear. High in nineteens, and it's it's

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Speaker 1: like when you get one over twenty, like you've got

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Speaker 1: a big one anywhere in the any anywhere in the country.

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Speaker 2: Booon and Crockett Brown trouts thirty inches.

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Speaker 1: Brown is such a real thing. No, No, is there

356
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Speaker 1: a scoring system for fish. No, And if there was,

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Speaker 1: we wouldn't.

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Speaker 6: Talk to you.

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Speaker 1: It would just be way too boring.

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Speaker 4: Poundage kind of like if you're overweight. So yeah, yeah, yep, yep.

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Speaker 1: Well, uh so this week's episode was quite a bit different,

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Speaker 1: quite a bit different. Were you surprised when you heard it?

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Speaker 1: Crank up?

364
00:19:20,600 --> 00:19:20,639
Speaker 2: Mo?

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Speaker 1: Could you? Did you pick up that? Like, wait a minute,

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Speaker 1: real quickly?

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Speaker 5: Then?

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Speaker 3: It was totally different from most anything that you had

369
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Speaker 3: put out on the Bearers podcast.

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Speaker 1: So yeah, yeah, that makes sense kind of what we

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Speaker 1: were doing though. Yeah, Like it was kind of like, oh,

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Speaker 1: this is gonna be fun.

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Speaker 6: Yeah, especially after the office references.

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Speaker 5: Yeah, yeah, I was looking missing.

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Speaker 1: I was proud of me. Yeah, I was mixing. You're

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Speaker 1: mixing a lot online reality with like reality, so probably

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Speaker 1: people are like really confused. Yeah, I actually know. Robert Morgan,

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Speaker 1: the famous Boon biographer who actually is a professor at

379
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Speaker 1: Cornell uh huh who. When I was with him, was

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Speaker 1: very tempted to ask him if he knew and Bernard,

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Speaker 1: which I think would.

382
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Speaker 2: If he would have caught the reference at all.

383
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Speaker 1: No, I don't think he would have, and I don't

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Speaker 1: know he Maybe he may have been more like pop

385
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Speaker 1: culture savvy than I thought, but I don't think so.

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Speaker 1: Robert Morgan is pretty pretty He's pretty pretty dialed into

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Speaker 1: what he does.

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Speaker 2: I thought it was great. I really enjoyed it. I

389
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Speaker 2: felt felt like it was I had the right amount

390
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Speaker 2: of of content that was educational, but at the same

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Speaker 2: time it was it was a pretty fun episode.

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Speaker 6: Yeah. Yeah, I don't think Cornell is going to be

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Speaker 6: really sought after as a destination school now.

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Speaker 1: I like, hey, Bear, Grease, don't mention our name anymore.

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Speaker 6: They were a little rough on guy from Wisconsin Chester.

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Speaker 1: Yeah yeah, yeah, yeah, yeah.

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Speaker 2: Uh.

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Speaker 1: I can't get off this this uh, this Office reference.

399
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Speaker 1: I wonder if there you know, there's conspiracy theories about

400
00:21:10,960 --> 00:21:14,720
Speaker 1: how all the underground channels of like big business, big government,

401
00:21:14,880 --> 00:21:18,879
Speaker 1: Hollywood works. If I would have been the maker of

402
00:21:18,960 --> 00:21:21,760
Speaker 1: the Office, I would have put out a bid to

403
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Speaker 1: schools across the country and say we're going to use

404
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Speaker 1: this the name of this school for the next ten

405
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Speaker 1: years and ten seasons.

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Speaker 2: That's right because there is no bad publicity. I mean,

407
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Speaker 2: it's still publicity.

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Speaker 1: Oh. I wouldn't even know what Cornell was if it

409
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Speaker 1: wasn't for.

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Speaker 5: The office was thinking. I don't think when they filmed

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Speaker 5: that originally that the thought was this is going to

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Speaker 5: be a huge success that can go on for ten seasons.

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Speaker 5: I don't think that that was the the mindset. I

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Speaker 5: do not think.

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Speaker 1: Well, the reason I bring it up is, uh, I'm

416
00:22:02,920 --> 00:22:06,359
Speaker 1: now putting out a bid for a fictitious college that

417
00:22:06,480 --> 00:22:08,800
Speaker 1: we're going to use in all Burgers episodes.

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Speaker 5: I think what you really want to do is put

419
00:22:10,400 --> 00:22:12,920
Speaker 5: out a bid for it. Honorary doctorate.

420
00:22:13,359 --> 00:22:16,920
Speaker 7: Oh yeah, the first school to give you an honorary

421
00:22:17,119 --> 00:22:23,840
Speaker 7: doctorate will be there what you're looking for.

422
00:22:24,200 --> 00:22:26,200
Speaker 1: I'm not sure we'll have too many bites on that,

423
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Speaker 1: but uh.

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Speaker 5: Maybe, well shoot, I wish I wish rich Mountain. If

425
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Speaker 5: there's a like I would like for it to be

426
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Speaker 5: like uh.

427
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Speaker 1: You know, I mean, for sure the Arkansas Razorbacks will

428
00:22:40,119 --> 00:22:41,840
Speaker 1: be like number one pick, but it could be like

429
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Speaker 1: the West Virginia Mountaineers.

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Speaker 2: Yeah, you know, I was in Bozeman, Montana last week,

431
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Speaker 2: and I talked to a bunch of students from Montana

432
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Speaker 2: State University, the Bobcats. They've got it going on there,

433
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Speaker 2: those guys.

434
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Speaker 5: Really.

435
00:22:53,520 --> 00:22:56,399
Speaker 1: Oh yeah, Well, we talked to school pride.

436
00:22:56,560 --> 00:22:59,920
Speaker 2: Yeah. Surprisingly, they've got a pretty good football team.

437
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Speaker 5: Coach.

438
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Speaker 2: I don't know, I don't know the answer to that,

439
00:23:05,520 --> 00:23:08,880
Speaker 2: but we had a couple of young young ladies, students

440
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Speaker 2: like trying to recruit our eighteen year old daughter to

441
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Speaker 2: go to school there and be a be a ski instructor. Also,

442
00:23:16,000 --> 00:23:18,719
Speaker 2: oh wow, yeah, but a lot of school probably they

443
00:23:18,720 --> 00:23:19,760
Speaker 2: were really proud of their school.

444
00:23:19,920 --> 00:23:25,200
Speaker 1: M hmm. Well, this is Brooks Blevins was on. In

445
00:23:25,280 --> 00:23:28,359
Speaker 1: the first three or four Beargrease podcast, Brooks Blevins was

446
00:23:28,400 --> 00:23:30,040
Speaker 1: on it. He was on the Death of a Bear

447
00:23:30,119 --> 00:23:34,320
Speaker 1: Hunter podcast, which was which was really great. And since

448
00:23:34,400 --> 00:23:38,040
Speaker 1: that time, Brooks has been on multiple times on bear

449
00:23:38,119 --> 00:23:41,440
Speaker 1: Grease and it's kind of become a hero of the

450
00:23:41,480 --> 00:23:46,560
Speaker 1: Bear Grease podcast. Misty, what what I think we're past

451
00:23:46,640 --> 00:23:47,320
Speaker 1: the football coach?

452
00:23:47,400 --> 00:23:49,840
Speaker 5: Okay, Okay, it definitely is.

453
00:23:49,960 --> 00:23:52,280
Speaker 1: Yeah, I think I mean it definitely just moved on.

454
00:23:52,440 --> 00:23:53,240
Speaker 5: You should look them up.

455
00:23:53,840 --> 00:23:58,360
Speaker 1: Famous coach for the Bozeman Montesgnet for his Yeah, he's

456
00:23:58,400 --> 00:23:59,480
Speaker 1: a guy with all the one liners.

457
00:23:59,560 --> 00:24:05,240
Speaker 5: Yeah, urrageous things he says in press conferences. And I

458
00:24:05,359 --> 00:24:06,959
Speaker 5: almost had it. I was almost there and I got

459
00:24:07,000 --> 00:24:10,679
Speaker 5: called out getting in class for this is the kind

460
00:24:10,680 --> 00:24:13,560
Speaker 5: of suffactually happened to me all the time. I would

461
00:24:13,600 --> 00:24:15,720
Speaker 5: get interested by something someone would say, and I would

462
00:24:15,760 --> 00:24:17,040
Speaker 5: kind of go on a tangent with that, and then

463
00:24:17,040 --> 00:24:19,120
Speaker 5: I would get called out. I don't like it when

464
00:24:19,160 --> 00:24:21,080
Speaker 5: people do that. I don't like it when professors realize

465
00:24:21,080 --> 00:24:22,640
Speaker 5: that you're not paying attention and then call you out

466
00:24:22,680 --> 00:24:25,440
Speaker 5: to make you feel them. And it's like, and I

467
00:24:25,560 --> 00:24:27,600
Speaker 5: know i'd do it too to students, like just to

468
00:24:27,680 --> 00:24:30,399
Speaker 5: get there, I'd like to do to me when you

469
00:24:30,480 --> 00:24:31,639
Speaker 5: were sleeping in my class.

470
00:24:32,240 --> 00:24:35,640
Speaker 1: I don't know, Wow, Wow, this is getting a little

471
00:24:35,640 --> 00:24:38,800
Speaker 1: too real here. Person will have a conversation afterwards.

472
00:24:38,440 --> 00:24:41,120
Speaker 5: About I don't know that Bear ever actually slept in class,

473
00:24:41,160 --> 00:24:44,120
Speaker 5: but he definitely, definitely sometimes would turn it. You knew

474
00:24:44,119 --> 00:24:46,119
Speaker 5: if you had Bear's attention or not. If you didn't,

475
00:24:46,520 --> 00:24:50,080
Speaker 5: he would be like a total space cadet, staring out

476
00:24:50,119 --> 00:24:51,560
Speaker 5: the window like not even.

477
00:24:51,480 --> 00:24:53,320
Speaker 2: Your dreaming of the outdoors.

478
00:24:53,400 --> 00:24:54,960
Speaker 5: He probably was and I would say, hey, Bear, what

479
00:24:55,040 --> 00:24:57,439
Speaker 5: do you think about that? He'd be like, he wouldn't

480
00:24:57,440 --> 00:24:58,760
Speaker 5: even lie, he'd just be like, I don't know.

481
00:25:02,200 --> 00:25:03,760
Speaker 4: I did that all the time when I was in school.

482
00:25:03,760 --> 00:25:07,080
Speaker 4: And look at me now, look at Mo.

483
00:25:07,560 --> 00:25:07,720
Speaker 5: Yeah.

484
00:25:07,760 --> 00:25:09,359
Speaker 1: If I could turn out like Mo, i'd be pretty.

485
00:25:09,520 --> 00:25:12,560
Speaker 5: You'd be good, You'd be good. M m hmm.

486
00:25:13,640 --> 00:25:16,680
Speaker 1: Okay, who what what what stood out to you in

487
00:25:16,800 --> 00:25:18,760
Speaker 1: the podcast? Bear you go first?

488
00:25:18,840 --> 00:25:19,000
Speaker 6: Like what?

489
00:25:19,680 --> 00:25:23,199
Speaker 1: Just what part of it stood out? The biggest thing,

490
00:25:23,320 --> 00:25:25,159
Speaker 1: The thing that I thought was most interesting was what

491
00:25:25,240 --> 00:25:29,200
Speaker 1: he said at the beginning about how like our dialect

492
00:25:29,359 --> 00:25:31,560
Speaker 1: and the way that we talk is influenced by like

493
00:25:31,840 --> 00:25:34,159
Speaker 1: the media and the things that we consume. Yeah. I

494
00:25:34,160 --> 00:25:35,879
Speaker 1: would have never really thought about that, but I mean,

495
00:25:35,960 --> 00:25:39,440
Speaker 1: like it, you know, like just yeah, it makes sense

496
00:25:39,720 --> 00:25:41,719
Speaker 1: just that like if you the people who are kind

497
00:25:41,760 --> 00:25:44,120
Speaker 1: of like, you know, isolated from any of that will

498
00:25:44,160 --> 00:25:48,840
Speaker 1: still have like really strong dialect and accents and stuff,

499
00:25:48,920 --> 00:25:53,480
Speaker 1: but like now it's kind of becoming a little more neutralized,

500
00:25:53,600 --> 00:25:56,240
Speaker 1: just because we all watched the same stuff here, the

501
00:25:56,280 --> 00:25:59,720
Speaker 1: same voices. Yeah, but I thought that was one really

502
00:25:59,800 --> 00:26:03,119
Speaker 1: interesting point. The other one I learned a lot of

503
00:26:03,200 --> 00:26:05,879
Speaker 1: stuff that a lot of things that I say that

504
00:26:06,000 --> 00:26:10,840
Speaker 1: I didn't really realize were like specific to where we live,

505
00:26:11,840 --> 00:26:14,639
Speaker 1: Like like stob. I thought that was just something everyone

506
00:26:14,680 --> 00:26:17,320
Speaker 1: would have said, like a stob. But you know, he

507
00:26:17,400 --> 00:26:19,960
Speaker 1: said that was something that was kind of specific to

508
00:26:20,440 --> 00:26:23,159
Speaker 1: I didn't understand that he was he was saying the

509
00:26:23,359 --> 00:26:29,320
Speaker 1: stob was was it was like a stick that you

510
00:26:29,359 --> 00:26:33,320
Speaker 1: would hold, right, Yep, he used it like the He

511
00:26:33,440 --> 00:26:35,119
Speaker 1: talked about the stick. But he also talked about like

512
00:26:35,240 --> 00:26:36,879
Speaker 1: you Mo over Field and you have.

513
00:26:38,800 --> 00:26:39,000
Speaker 2: Yeah.

514
00:26:39,200 --> 00:26:41,160
Speaker 1: I guess that's a question I would have was he's

515
00:26:41,160 --> 00:26:42,639
Speaker 1: saying that other people don't say that.

516
00:26:43,040 --> 00:26:45,680
Speaker 5: Yeah, he would that. He did say that, and he's

517
00:26:45,840 --> 00:26:47,800
Speaker 5: he he mentioned Billy Bob Thornton.

518
00:26:48,800 --> 00:26:49,919
Speaker 2: Now I've got some questions.

519
00:26:52,119 --> 00:26:56,200
Speaker 5: Hatfield. He went to second grade in Hatfield, Hatfield, Arkansas.

520
00:26:58,000 --> 00:27:02,120
Speaker 1: Let's let Bear finish his statements. Well, that was pretty much.

521
00:27:02,160 --> 00:27:05,240
Speaker 1: It just that our you know, dialect is kind of

522
00:27:05,720 --> 00:27:08,520
Speaker 1: becoming a little more neutralized. I think it's becoming a

523
00:27:08,560 --> 00:27:12,080
Speaker 1: lot more especially when you think about like television's hit

524
00:27:12,680 --> 00:27:17,600
Speaker 1: American Homes in the nineteen fifties. Probably MO is that right.

525
00:27:19,520 --> 00:27:21,119
Speaker 3: I remember when I was old enough to know what

526
00:27:21,200 --> 00:27:24,000
Speaker 3: a TV was. We we just got one I know,

527
00:27:24,160 --> 00:27:26,399
Speaker 3: we hadn't had it very long. I remember you were

528
00:27:26,440 --> 00:27:29,240
Speaker 3: born in nineteen sixties sixty, but.

529
00:27:29,359 --> 00:27:30,879
Speaker 4: We lived way out in the middle of Yonder.

530
00:27:32,359 --> 00:27:33,000
Speaker 5: It really did.

531
00:27:33,320 --> 00:27:36,359
Speaker 1: Here's an example. Whenever we went to Tennessee, there was

532
00:27:36,520 --> 00:27:39,679
Speaker 1: like it was kind of this like really small pocket

533
00:27:39,760 --> 00:27:42,440
Speaker 1: that I don't think they would have really like I

534
00:27:42,480 --> 00:27:43,960
Speaker 1: don't think any of them would have been on like

535
00:27:44,480 --> 00:27:46,239
Speaker 1: social media and or anything. I mean, they all had

536
00:27:46,320 --> 00:27:50,320
Speaker 1: televisions in their houses, but like overall, it was kind

537
00:27:50,359 --> 00:27:53,760
Speaker 1: of like a somewhat isolated pocket. And their accents were

538
00:27:53,840 --> 00:27:57,760
Speaker 1: like extremely thick. Yeah, and they used all sorts of

539
00:27:57,840 --> 00:28:00,800
Speaker 1: different words that like like I've growing up kind of

540
00:28:01,320 --> 00:28:04,520
Speaker 1: you know here in a lot of hillbilly dialect. But

541
00:28:05,320 --> 00:28:09,159
Speaker 1: they were on a completely different level. They were speaking

542
00:28:09,200 --> 00:28:10,800
Speaker 1: a different language just about.

543
00:28:10,600 --> 00:28:12,879
Speaker 2: Where as the locals say, you ever noticed someone from

544
00:28:12,960 --> 00:28:18,400
Speaker 2: Tennessee always calls the state Tennessee Tennessee Tennessee have differentis

545
00:28:18,680 --> 00:28:22,840
Speaker 2: just like Chester says Wisconsin Wisconsin. They don't say. They

546
00:28:22,880 --> 00:28:27,919
Speaker 2: don't say Wisconsin. It's not w I s Hyphenson. They

547
00:28:28,000 --> 00:28:32,880
Speaker 2: say w I s k O n C whisk onnsen Wisconsin.

548
00:28:33,119 --> 00:28:33,320
Speaker 1: Yeah.

549
00:28:33,760 --> 00:28:39,920
Speaker 5: Yeah, yeah, yeah, I wonder I think about the speed

550
00:28:40,640 --> 00:28:44,040
Speaker 5: you know over the last in one of our classes

551
00:28:44,040 --> 00:28:47,480
Speaker 5: that we talk about language and dialects, and you think

552
00:28:47,520 --> 00:28:51,320
Speaker 5: about like things people used to travel by horse, and

553
00:28:51,400 --> 00:28:53,680
Speaker 5: then they traveled by train, and then they traveled by car,

554
00:28:54,080 --> 00:28:55,880
Speaker 5: and they traveled by plane and all of that like

555
00:28:56,000 --> 00:29:01,040
Speaker 5: cuts the distance between places. The time space distances is

556
00:29:01,080 --> 00:29:03,480
Speaker 5: a lot smaller. And then and you see that same

557
00:29:03,520 --> 00:29:06,000
Speaker 5: trend in social media because there was the radio and

558
00:29:06,080 --> 00:29:10,880
Speaker 5: that kind of introduces neutralized tone to everyone, and then

559
00:29:11,400 --> 00:29:15,640
Speaker 5: there was our dialect exposed people to different dialects TV.

560
00:29:16,040 --> 00:29:19,160
Speaker 5: But then with social media, I mean that's like so

561
00:29:19,360 --> 00:29:22,320
Speaker 5: fast and so things things have changed. I think it

562
00:29:22,320 --> 00:29:25,360
Speaker 5: would be very interesting to look at at the difference.

563
00:29:25,400 --> 00:29:27,240
Speaker 5: We give the kids at school. In one of our

564
00:29:27,280 --> 00:29:29,800
Speaker 5: classes where we talk about dialect, they take this test

565
00:29:29,840 --> 00:29:31,600
Speaker 5: that the New York Times does and you can take

566
00:29:31,600 --> 00:29:34,040
Speaker 5: it for free as long as you create an account,

567
00:29:34,240 --> 00:29:37,920
Speaker 5: like a free account, but it predicts it. It shows

568
00:29:37,960 --> 00:29:40,160
Speaker 5: you like a heat met No, I don't, it's and

569
00:29:40,240 --> 00:29:41,520
Speaker 5: it's a f I didn't just sell it. I was

570
00:29:41,600 --> 00:29:44,640
Speaker 5: to say it was free, but well, I I know

571
00:29:44,720 --> 00:29:46,280
Speaker 5: that you have to log in, you have to create

572
00:29:46,280 --> 00:29:48,120
Speaker 5: an account. I mean that was the reason I said

573
00:29:48,160 --> 00:29:50,920
Speaker 5: that because I used to. When I first started giving

574
00:29:50,920 --> 00:29:52,479
Speaker 5: it to kids, they didn't have to have an account,

575
00:29:52,480 --> 00:29:54,120
Speaker 5: and now they do, but it's free.

576
00:29:54,280 --> 00:29:58,320
Speaker 4: And so anyway, such thing as log in something I know, yeah,

577
00:29:59,120 --> 00:30:01,160
Speaker 4: build log rounds and then made a hog ban at it.

578
00:30:05,640 --> 00:30:07,800
Speaker 5: So you take this test and it tells you it

579
00:30:07,880 --> 00:30:10,040
Speaker 5: predicts where you're at based off of I think twenty

580
00:30:10,120 --> 00:30:13,520
Speaker 5: one words, and so one of them is, what is

581
00:30:13,600 --> 00:30:16,120
Speaker 5: a what is a dark carbonated beverage? What would you

582
00:30:16,360 --> 00:30:16,640
Speaker 5: call that?

583
00:30:16,840 --> 00:30:17,080
Speaker 1: Coke?

584
00:30:17,440 --> 00:30:19,880
Speaker 5: I would call whether it's a doctor pepper or a

585
00:30:20,000 --> 00:30:22,360
Speaker 5: diet coke, I would call it a coke. And Josh,

586
00:30:22,400 --> 00:30:22,960
Speaker 5: what would you call it?

587
00:30:23,120 --> 00:30:26,240
Speaker 2: I used to call it a coke, and I everybody

588
00:30:26,280 --> 00:30:29,040
Speaker 2: would always you know, when I would go north, they'd

589
00:30:29,080 --> 00:30:31,840
Speaker 2: say coke because they call it a north. They call

590
00:30:31,880 --> 00:30:34,800
Speaker 2: it a pop, right, and I call it a soda

591
00:30:34,920 --> 00:30:35,400
Speaker 2: now and.

592
00:30:35,480 --> 00:30:37,800
Speaker 5: Some people call it soda, so soda pop and then

593
00:30:38,400 --> 00:30:39,480
Speaker 5: and then and those are your offers.

594
00:30:39,520 --> 00:30:40,080
Speaker 1: What would you call it?

595
00:30:40,200 --> 00:30:40,240
Speaker 7: Mo?

596
00:30:40,840 --> 00:30:44,440
Speaker 4: A dark something dark like a carb like a or

597
00:30:44,600 --> 00:30:45,360
Speaker 4: you call it coke?

598
00:30:46,560 --> 00:30:47,520
Speaker 2: What you call it coke?

599
00:30:48,040 --> 00:30:48,760
Speaker 6: A soda? Water?

600
00:30:48,840 --> 00:30:50,640
Speaker 5: What would you call it? If I said, do you

601
00:30:50,720 --> 00:30:52,520
Speaker 5: want to drink? And I had a lot of stuff

602
00:30:52,560 --> 00:30:54,080
Speaker 5: in the in the ice chest.

603
00:30:54,360 --> 00:30:58,400
Speaker 1: Or if you said you can have tea milk, or

604
00:30:59,080 --> 00:30:59,280
Speaker 1: and you.

605
00:30:59,360 --> 00:31:01,520
Speaker 5: Had both doctor pepper and coke, what would you say.

606
00:31:02,520 --> 00:31:04,600
Speaker 4: Well, I don't like it one the a whole lot,

607
00:31:04,640 --> 00:31:06,200
Speaker 4: but I'd probably say just give me a coke.

608
00:31:06,600 --> 00:31:10,560
Speaker 1: No, no, no, Yeah, he answered, yeah, I mean a coke.

609
00:31:10,600 --> 00:31:12,880
Speaker 1: Would mean like, well, what kind of coke do you want? Well,

610
00:31:12,880 --> 00:31:13,600
Speaker 1: I want a sprout?

611
00:31:13,680 --> 00:31:15,320
Speaker 4: Yeah, give me a sprout. To give me a doctor pepper.

612
00:31:16,400 --> 00:31:20,440
Speaker 2: Yea of those carbonators I'm saying.

613
00:31:20,480 --> 00:31:22,960
Speaker 3: Growing up, we went down the old stoic combs down

614
00:31:22,960 --> 00:31:24,880
Speaker 3: there and they had the old bottles you pulled out

615
00:31:24,880 --> 00:31:27,360
Speaker 3: of the machines like a nickel in there and opened

616
00:31:27,400 --> 00:31:29,800
Speaker 3: the door and pulled it out. And we when we

617
00:31:29,920 --> 00:31:31,360
Speaker 3: was going to go down there, if Dad took us

618
00:31:31,360 --> 00:31:33,280
Speaker 3: down there, we'd say, Dad, can we get a coke

619
00:31:33,320 --> 00:31:33,959
Speaker 3: while we're down there?

620
00:31:34,600 --> 00:31:37,920
Speaker 4: I got an orange grave. He just told me you

621
00:31:37,960 --> 00:31:38,400
Speaker 4: want to come.

622
00:31:38,760 --> 00:31:40,520
Speaker 5: And that's the way. That's what we would call it

623
00:31:40,640 --> 00:31:45,840
Speaker 5: as well. On the test Okay, the big the large

624
00:31:46,080 --> 00:31:51,680
Speaker 5: cargo vehicles that drive on the interstate that have eighteen wheels,

625
00:31:51,760 --> 00:31:52,480
Speaker 5: what would you call that?

626
00:31:53,040 --> 00:31:54,320
Speaker 1: Yeah, there's a lot of different words.

627
00:31:54,840 --> 00:31:55,520
Speaker 5: What would you call it?

628
00:31:55,960 --> 00:31:57,480
Speaker 1: Well, you know what I think.

629
00:32:00,080 --> 00:32:02,280
Speaker 5: Wheeler eighteen wheeler. Would you even call it a big grig?

630
00:32:02,640 --> 00:32:02,800
Speaker 6: Yep?

631
00:32:03,200 --> 00:32:05,160
Speaker 2: Those would be tractor trailer.

632
00:32:04,920 --> 00:32:06,880
Speaker 5: Attractor trailer. So those are your options or I have

633
00:32:07,000 --> 00:32:07,320
Speaker 5: no words?

634
00:32:07,400 --> 00:32:08,880
Speaker 4: Always heard him called semi.

635
00:32:10,080 --> 00:32:15,320
Speaker 5: Yeah, a person who defends someone? Uh? Would you who

636
00:32:15,480 --> 00:32:18,800
Speaker 5: who present someone in a legal proceeding? Would you call that?

637
00:32:19,000 --> 00:32:22,080
Speaker 5: Would the way you pronounced that word? Would it rhyme

638
00:32:22,160 --> 00:32:28,120
Speaker 5: with saw your are toy? Would it be a lawyer

639
00:32:28,320 --> 00:32:28,720
Speaker 5: or lawyer?

640
00:32:29,160 --> 00:32:31,040
Speaker 2: Lawyer, lawyer?

641
00:32:31,480 --> 00:32:35,320
Speaker 5: So I would I would say lawyer, lawyer, lawyer, but

642
00:32:36,400 --> 00:32:38,120
Speaker 5: a lawyer. Well, if there's not an answer, it just

643
00:32:38,120 --> 00:32:40,240
Speaker 5: depends on where you're from. Did you hear what Josha said?

644
00:32:40,760 --> 00:32:42,719
Speaker 2: A lawyer, lawyer, lawyer?

645
00:32:42,960 --> 00:32:46,720
Speaker 5: He that's lloy like soy yeah, and I say raise

646
00:32:48,440 --> 00:32:49,400
Speaker 5: he was raised by Yankee?

647
00:32:49,680 --> 00:32:52,560
Speaker 2: Yeah, I was raised by I was raised by Yankee

648
00:32:52,640 --> 00:32:55,360
Speaker 2: in the South. That's what really messed me up.

649
00:32:55,400 --> 00:32:56,840
Speaker 1: So what did this reveal?

650
00:32:57,120 --> 00:32:57,920
Speaker 5: Just where you were from?

651
00:32:58,200 --> 00:33:00,480
Speaker 1: Like, so, what where did the students show where they

652
00:33:00,520 --> 00:33:00,840
Speaker 1: were from?

653
00:33:00,920 --> 00:33:02,960
Speaker 5: Well, my students are from all over, so usually it

654
00:33:03,000 --> 00:33:03,680
Speaker 5: shows from all over.

655
00:33:03,720 --> 00:33:04,800
Speaker 2: It was pretty accurate.

656
00:33:05,120 --> 00:33:08,560
Speaker 5: It was pretty accurate. But I've noticed over the last

657
00:33:08,760 --> 00:33:11,719
Speaker 5: five years a big difference. It's not as accurate as

658
00:33:11,760 --> 00:33:14,320
Speaker 5: it used to be, and it's more centralized. It's it's

659
00:33:14,400 --> 00:33:17,560
Speaker 5: super interesting to me, and because used to the kids

660
00:33:17,600 --> 00:33:20,480
Speaker 5: that were raised in the South like that, that hit

661
00:33:20,560 --> 00:33:23,400
Speaker 5: pretty hard. And I think part of it is that

662
00:33:23,560 --> 00:33:26,240
Speaker 5: people are getting married from further apart, you know, so

663
00:33:26,360 --> 00:33:28,120
Speaker 5: you have a mom from one state and a dad

664
00:33:28,200 --> 00:33:31,520
Speaker 5: from another. People aren't living as close to their grandparents.

665
00:33:31,760 --> 00:33:33,680
Speaker 5: So a lot of people would say that's right for

666
00:33:33,800 --> 00:33:35,720
Speaker 5: my grandparents, that's where they grew up, and that's where

667
00:33:35,800 --> 00:33:38,080
Speaker 5: my mom grew up. But I was born in Dallas

668
00:33:38,280 --> 00:33:41,160
Speaker 5: and that's not how we and I have taken on

669
00:33:41,280 --> 00:33:43,160
Speaker 5: the Dallas So it's kind of interesting.

670
00:33:43,520 --> 00:33:47,320
Speaker 1: Brooks said that linguists believe believe that dialects are going

671
00:33:47,400 --> 00:33:51,360
Speaker 1: to continue, because there's been people that have said that

672
00:33:51,440 --> 00:33:53,480
Speaker 1: they're going to die out. But it's hard for me

673
00:33:53,800 --> 00:33:56,800
Speaker 1: to not believe that they're going to die out because

674
00:33:57,600 --> 00:34:02,000
Speaker 1: there's so much going to Yeah, yeah, it's right, because

675
00:34:02,720 --> 00:34:05,600
Speaker 1: now maybe they'll just change, But like it feels like

676
00:34:05,880 --> 00:34:10,320
Speaker 1: dialects are dying off just because, like Bear said, YouTube

677
00:34:10,400 --> 00:34:14,960
Speaker 1: and television and podcasts, and it's not a conscious decision.

678
00:34:15,160 --> 00:34:18,000
Speaker 1: Very very little of it. I think it's conscious some

679
00:34:18,200 --> 00:34:21,879
Speaker 1: of it is. But you know, like when Misty asked

680
00:34:21,920 --> 00:34:24,800
Speaker 1: me what I guarantee you coming out of my hometown

681
00:34:24,920 --> 00:34:27,040
Speaker 1: at age eighteen, if you would have asked me what

682
00:34:27,160 --> 00:34:30,000
Speaker 1: a semi truck was, I would have had one answer, yeah,

683
00:34:30,280 --> 00:34:32,880
Speaker 1: just like this is what it is. And I actually

684
00:34:32,960 --> 00:34:36,000
Speaker 1: can't remember now. I would just equally call it a

685
00:34:36,120 --> 00:34:40,680
Speaker 1: semi truck or eighteen wheeler, you know, And I don't point,

686
00:34:40,719 --> 00:34:44,479
Speaker 1: being I'm so deep into the woods now, I don't

687
00:34:44,560 --> 00:34:48,160
Speaker 1: really remember exactly probably what my grandpa would have called them.

688
00:34:48,680 --> 00:34:50,560
Speaker 1: I think now Moe's giving me a tip off him

689
00:34:50,600 --> 00:34:53,759
Speaker 1: saying semi Probably that's probably what I would have originally said.

690
00:34:54,040 --> 00:34:55,440
Speaker 4: That's all I ever heard him call when I was

691
00:34:55,480 --> 00:34:56,520
Speaker 4: growing up, semis.

692
00:34:56,800 --> 00:34:57,759
Speaker 1: Yeah. Yeah.

693
00:34:58,400 --> 00:35:01,160
Speaker 5: And I wonder too about like about where he's talking about.

694
00:35:01,360 --> 00:35:04,360
Speaker 5: There's not great internet coverage there, so they don't have

695
00:35:04,520 --> 00:35:08,000
Speaker 5: access to just scroll all the time as easy as

696
00:35:08,480 --> 00:35:11,560
Speaker 5: maybe someone who has. I think there's some parts of

697
00:35:11,640 --> 00:35:14,959
Speaker 5: the world that are kind of isolated, not just geographically,

698
00:35:15,040 --> 00:35:20,040
Speaker 5: but to a certain extent still from not from the

699
00:35:20,080 --> 00:35:22,640
Speaker 5: Internet as a whole, but from easy access to the

700
00:35:22,719 --> 00:35:23,640
Speaker 5: Internet at all times.

701
00:35:23,920 --> 00:35:26,560
Speaker 2: Yeah, Internet ruins everything.

702
00:35:26,880 --> 00:35:31,520
Speaker 1: Well, and you know, the truth is dialect is not.

703
00:35:31,719 --> 00:35:34,920
Speaker 1: I mean, Gary Nucom. We grew up in rural Arkansas,

704
00:35:35,160 --> 00:35:39,680
Speaker 1: and my dad was adamant about us having good grammar.

705
00:35:40,320 --> 00:35:42,720
Speaker 1: I mean, and I'm not saying I necessarily have good grammar,

706
00:35:42,760 --> 00:35:46,200
Speaker 1: but I but if we we would come home and

707
00:35:46,360 --> 00:35:52,239
Speaker 1: use double negatives or say, just use what might be

708
00:35:52,360 --> 00:35:56,799
Speaker 1: typical of my peers in rural Arkansas. He I mean,

709
00:35:56,880 --> 00:35:59,520
Speaker 1: from the time we were first graders, he was like, nope,

710
00:35:59,600 --> 00:36:03,640
Speaker 1: because he wanted us to sound more educated, you know,

711
00:36:03,960 --> 00:36:08,000
Speaker 1: And yeah he did because you know, he was born

712
00:36:08,040 --> 00:36:11,200
Speaker 1: in rural Arkansas, became a banker, was in the professional world.

713
00:36:11,520 --> 00:36:14,120
Speaker 1: And so I think that track happens quite a bit too,

714
00:36:14,200 --> 00:36:18,600
Speaker 1: where people try to kind of mask, not mask because

715
00:36:18,640 --> 00:36:22,080
Speaker 1: it's not like it was a moral question of this

716
00:36:22,320 --> 00:36:24,960
Speaker 1: was good or bad. But you know, he kind of

717
00:36:25,080 --> 00:36:28,640
Speaker 1: shaped the way that we that we spoken said stuff.

718
00:36:28,719 --> 00:36:30,480
Speaker 5: And the truth is it's really hard to change that.

719
00:36:30,800 --> 00:36:33,799
Speaker 5: Like when you're from a school's perspective, we test kids

720
00:36:33,840 --> 00:36:36,400
Speaker 5: on spelling, we test kids on writing, on reading, on grammar,

721
00:36:36,880 --> 00:36:40,160
Speaker 5: and I'll just be honest, if your grammar, I think

722
00:36:40,280 --> 00:36:42,719
Speaker 5: is one of the hardest things to change. You can.

723
00:36:43,080 --> 00:36:45,600
Speaker 5: You can teach kids to do algebra. Yeah, that's not

724
00:36:45,680 --> 00:36:48,200
Speaker 5: something any of them have ever heard at home. Everybody's

725
00:36:48,239 --> 00:36:50,680
Speaker 5: learning that at school, and you can teach that. Grammar

726
00:36:50,880 --> 00:36:53,040
Speaker 5: is really tough to change because it's the voice in

727
00:36:53,080 --> 00:36:55,920
Speaker 5: their head in those however they grew up in those

728
00:36:55,960 --> 00:36:58,000
Speaker 5: first five years, that's the voice in their head. And

729
00:36:58,120 --> 00:37:01,160
Speaker 5: you can be extremely intelligent, but just raised in an

730
00:37:01,239 --> 00:37:05,200
Speaker 5: environment that did use non typical grammatical structures and come

731
00:37:05,239 --> 00:37:07,799
Speaker 5: into a school and that's just those first five years.

732
00:37:07,840 --> 00:37:11,640
Speaker 5: That's when you learn language, and it's it's tough. Yeah,

733
00:37:11,840 --> 00:37:13,839
Speaker 5: it can be done, but it is super cool.

734
00:37:14,239 --> 00:37:17,640
Speaker 1: There were well, Josh, I'm afraid I'm gonna get into

735
00:37:17,680 --> 00:37:18,160
Speaker 1: your questions.

736
00:37:18,360 --> 00:37:19,319
Speaker 2: I'm afraid you are too.

737
00:37:19,600 --> 00:37:22,040
Speaker 1: Okay, well let's start. Let's start, let's do let's do

738
00:37:22,080 --> 00:37:25,920
Speaker 1: our trivia. Okay, get your get your trivia behind there,

739
00:37:25,960 --> 00:37:29,480
Speaker 1: all right, So this is bear Grease Trivia and I'll

740
00:37:29,520 --> 00:37:30,040
Speaker 1: be playing.

741
00:37:30,880 --> 00:37:32,080
Speaker 4: Well, yeah, I don't.

742
00:37:32,080 --> 00:37:34,279
Speaker 1: I don't feel like I'm a subject matter expert on this.

743
00:37:34,560 --> 00:37:37,279
Speaker 1: It's not like Osceola where I was the one doing

744
00:37:37,360 --> 00:37:40,120
Speaker 1: all this stuff. This was kind of just doctor Brevin's talking.

745
00:37:40,360 --> 00:37:40,560
Speaker 2: Yep.

746
00:37:40,920 --> 00:37:41,680
Speaker 1: So I'm in it.

747
00:37:42,440 --> 00:37:46,000
Speaker 2: Okay, is everyone ready? Keep score on your board. I

748
00:37:46,120 --> 00:37:49,040
Speaker 2: will be the judge, jury, and executioner of whether or

749
00:37:49,080 --> 00:37:50,720
Speaker 2: not you're your answer is correct?

750
00:37:51,000 --> 00:37:51,280
Speaker 1: Okay.

751
00:37:53,000 --> 00:37:57,840
Speaker 2: Question number one, what European region is credited with the

752
00:37:57,960 --> 00:38:04,319
Speaker 2: majority of influence of the Uplands South dialect? And there's

753
00:38:04,320 --> 00:38:07,359
Speaker 2: a couple of different answers. I'm willing to to take.

754
00:38:07,600 --> 00:38:10,920
Speaker 2: Take the general idea.

755
00:38:11,920 --> 00:38:12,320
Speaker 1: Do you know what?

756
00:38:13,960 --> 00:38:14,680
Speaker 4: Okay, you think?

757
00:38:16,040 --> 00:38:21,879
Speaker 2: Everybody? Everybody ready? Okay, Clay are misty. We're gonna start

758
00:38:21,880 --> 00:38:27,680
Speaker 2: with you. Scotland, Ireland. Okay, mo, what do you got?

759
00:38:27,800 --> 00:38:30,240
Speaker 4: I put down Norway, Norway.

760
00:38:30,360 --> 00:38:37,759
Speaker 2: Bear, Scott's Irish, turn your turn, Gaelic, Clay, Ulster, Scott Scotland.

761
00:38:38,440 --> 00:38:43,760
Speaker 2: That is correct. Actually the Scotch Irish or Northern Ireland

762
00:38:44,200 --> 00:38:47,600
Speaker 2: is where the majority of the Upland South dialect. Now

763
00:38:48,120 --> 00:38:48,640
Speaker 2: there are.

764
00:38:53,880 --> 00:38:55,000
Speaker 4: That words coming from north.

765
00:38:55,160 --> 00:38:56,800
Speaker 2: They talk about some words coming from that.

766
00:38:57,239 --> 00:38:59,719
Speaker 1: I'm curious to see what art you come up with

767
00:38:59,800 --> 00:39:00,279
Speaker 1: this time.

768
00:39:00,320 --> 00:39:04,600
Speaker 2: I'm working on it, okay, which to me, I had

769
00:39:04,760 --> 00:39:08,560
Speaker 2: never really thought about that. I assumed that, like the

770
00:39:08,880 --> 00:39:11,960
Speaker 2: the Upland South dialect, had just been something that had

771
00:39:12,080 --> 00:39:14,600
Speaker 2: evolved in America. I don't think I had ever put

772
00:39:14,640 --> 00:39:18,799
Speaker 2: together that it was actually had deeper roots than.

773
00:39:18,719 --> 00:39:19,399
Speaker 4: That back boat.

774
00:39:19,480 --> 00:39:21,800
Speaker 1: Do you know where your family came from, like the

775
00:39:21,880 --> 00:39:25,240
Speaker 1: Shepherds came from when they originally Yeah, like what country?

776
00:39:25,640 --> 00:39:26,640
Speaker 1: I bet they were Scottish?

777
00:39:28,360 --> 00:39:30,840
Speaker 2: I'm not sure Scottish or Irish? I mean shepherd.

778
00:39:31,480 --> 00:39:35,680
Speaker 4: I think there was some some Scottish that come from overseas.

779
00:39:35,800 --> 00:39:36,200
Speaker 5: And and.

780
00:39:38,480 --> 00:39:40,320
Speaker 3: Who was it one of my I think was my

781
00:39:41,400 --> 00:39:48,600
Speaker 3: great great grandma. Maybe she come on a boat across

782
00:39:49,520 --> 00:39:51,920
Speaker 3: the ocean from Europe. But I don't know which country

783
00:39:51,960 --> 00:39:52,239
Speaker 3: it was.

784
00:39:52,400 --> 00:39:56,480
Speaker 1: And and I bet money, I bet money it's it's

785
00:39:57,480 --> 00:39:58,840
Speaker 1: Scottish or Scottish.

786
00:39:59,200 --> 00:40:01,080
Speaker 4: I know it was Europe. I just don't know which

787
00:40:01,120 --> 00:40:01,879
Speaker 4: country for sure.

788
00:40:02,040 --> 00:40:05,040
Speaker 1: Yeah. I had to guess he's probably Irish based on

789
00:40:05,120 --> 00:40:09,760
Speaker 1: the hair color. Maybe. Well I've said this so many times,

790
00:40:09,840 --> 00:40:13,480
Speaker 1: but what's cool about Mo? There's a few things cool

791
00:40:13,520 --> 00:40:16,160
Speaker 1: about Mo. I mean not that many, but uh one

792
00:40:16,280 --> 00:40:18,560
Speaker 1: or one of them. One of them is that his

793
00:40:18,920 --> 00:40:22,600
Speaker 1: his family homesteaded over here in the Ozarks. And uh,

794
00:40:23,360 --> 00:40:25,800
Speaker 1: you know, your fifth great grandfather.

795
00:40:25,920 --> 00:40:29,960
Speaker 3: My great great grandfather and his brother came up rafts

796
00:40:31,120 --> 00:40:34,359
Speaker 3: up the Mississippi from Alabama, came up the Arkansas River,

797
00:40:35,080 --> 00:40:39,120
Speaker 3: got on the Frog Bayou on the rafts and and

798
00:40:39,560 --> 00:40:44,560
Speaker 3: the winner probably three quarters of a mile or mile

799
00:40:44,600 --> 00:40:47,880
Speaker 3: from where I live at now. And then one of

800
00:40:47,920 --> 00:40:51,719
Speaker 3: them settled there and in that area, which is the

801
00:40:51,800 --> 00:40:54,439
Speaker 3: Frog Bayou. And then they moved on up the Frog

802
00:40:54,520 --> 00:40:56,719
Speaker 3: Byo just a little ways and found a spring up

803
00:40:56,760 --> 00:41:00,839
Speaker 3: there which was called Shepherd Springs, he said there. Both

804
00:41:00,840 --> 00:41:03,200
Speaker 3: of them settled there for a while and got their families.

805
00:41:03,200 --> 00:41:05,680
Speaker 3: And then my great great grandfather moved on up into

806
00:41:05,719 --> 00:41:10,080
Speaker 3: the mountains up up what's called Shepherd Mountain now, and

807
00:41:10,160 --> 00:41:12,080
Speaker 3: that's where his home up there, and that's where I

808
00:41:12,160 --> 00:41:14,880
Speaker 3: was born and settled there in the late eighteen forties,

809
00:41:14,920 --> 00:41:17,680
Speaker 3: early eighteen fifties. Yeah, and then he was killed during

810
00:41:17,760 --> 00:41:19,680
Speaker 3: the Civil War on that mountain.

811
00:41:19,960 --> 00:41:22,319
Speaker 1: Oh well, yeah, that's really cool. So you can look

812
00:41:22,360 --> 00:41:24,080
Speaker 1: on a map and find Shepherd Mountain up there.

813
00:41:24,880 --> 00:41:28,240
Speaker 2: Okay. Question number two, this is a question about doctor

814
00:41:28,280 --> 00:41:34,799
Speaker 2: Brooks Blevins. What county in Arkansas is doctor Blevins from?

815
00:41:35,000 --> 00:41:36,120
Speaker 2: This is a multiple choice.

816
00:41:37,400 --> 00:41:39,640
Speaker 6: Do I get double? If I get it right.

817
00:41:39,600 --> 00:41:47,040
Speaker 2: Now, you don't Ozark, Newton, Izard or Baxter.

818
00:41:54,880 --> 00:41:55,719
Speaker 5: That's what I think too.

819
00:41:55,960 --> 00:41:57,799
Speaker 2: We're going to start with Bear on this one.

820
00:41:58,120 --> 00:41:59,520
Speaker 1: I'm gonna say Newton.

821
00:42:00,680 --> 00:42:09,240
Speaker 2: Okay, Colby Wizard, Hazards lizardzard. The correct answer is izard County.

822
00:42:09,440 --> 00:42:12,239
Speaker 5: Can we pause right there and just acknowledge that there

823
00:42:12,280 --> 00:42:15,320
Speaker 5: are probably far more words than you would think that

824
00:42:15,520 --> 00:42:22,160
Speaker 5: rhyme with izard gizzard lizard wizard. One night we played

825
00:42:22,200 --> 00:42:24,799
Speaker 5: a school called Izard County, and I was right by

826
00:42:24,920 --> 00:42:27,399
Speaker 5: doctor Blevins and we were talking about they really missed

827
00:42:27,440 --> 00:42:30,120
Speaker 5: it by not naming their mascot the lizards lizards, and

828
00:42:30,200 --> 00:42:35,520
Speaker 5: I was like, wizards. It's incredible. So many names came

829
00:42:35,600 --> 00:42:37,360
Speaker 5: up of optional mascots.

830
00:42:37,480 --> 00:42:39,080
Speaker 2: Very good. You guys did excellent on that one.

831
00:42:39,160 --> 00:42:40,960
Speaker 5: Oh look at me rocking and rolling today.

832
00:42:42,040 --> 00:42:43,839
Speaker 1: Question number three, maybe we could have a few more

833
00:42:43,960 --> 00:42:46,280
Speaker 1: questions relevant to the actual content. Go ahead.

834
00:42:46,320 --> 00:42:49,440
Speaker 2: Question number three According to doctor Blevin's what is the

835
00:42:49,600 --> 00:42:55,920
Speaker 2: meaning of peculiar grammatical features? What is the meaning of

836
00:42:56,000 --> 00:43:00,480
Speaker 2: that term meaning? I can't even say that peculiar grammatical features?

837
00:43:00,760 --> 00:43:01,280
Speaker 1: I remember?

838
00:43:03,880 --> 00:43:04,279
Speaker 4: What does that?

839
00:43:04,520 --> 00:43:07,080
Speaker 2: What does that mean? Just in general? Hold on, don't

840
00:43:07,120 --> 00:43:14,160
Speaker 2: don't show everybody, I mean talking about it. Okay, We're

841
00:43:14,160 --> 00:43:19,239
Speaker 2: gonna start with Colby Boom big question. Mark Clay says

842
00:43:19,280 --> 00:43:23,080
Speaker 2: bad grammar. Missy says bad grammar would have bad language,

843
00:43:23,200 --> 00:43:26,080
Speaker 2: bad language, bad bad grammar. The correct answer is.

844
00:43:26,120 --> 00:43:29,200
Speaker 4: Bad bad language kind of just gets it right.

845
00:43:29,239 --> 00:43:34,040
Speaker 2: That peculiar grammatical features literally just means you have bad.

846
00:43:45,000 --> 00:43:45,120
Speaker 5: Uh.

847
00:43:45,239 --> 00:43:48,000
Speaker 1: Coolby What stood out to you in the podcast was anything? What?

848
00:43:48,239 --> 00:43:48,279
Speaker 5: What?

849
00:43:48,560 --> 00:43:54,880
Speaker 6: Uh? Since you're yeah, you know, I uh that aspect

850
00:43:55,000 --> 00:43:58,120
Speaker 6: of it disappearing, like the different dialects. I was just

851
00:43:58,200 --> 00:44:01,000
Speaker 6: thinking I saw something the other day where there was

852
00:44:01,520 --> 00:44:04,560
Speaker 6: a mom in England and her kid has been watching

853
00:44:04,920 --> 00:44:08,400
Speaker 6: like Miss Rachel the like popular kids, you know, a

854
00:44:08,480 --> 00:44:12,120
Speaker 6: thing on on YouTube, and uh, her kid has an

855
00:44:12,200 --> 00:44:15,520
Speaker 6: English accent, you know, like an American accent. She's like,

856
00:44:16,880 --> 00:44:19,400
Speaker 6: we're in England and she sounds like an American? What's

857
00:44:19,440 --> 00:44:21,520
Speaker 6: the deal? And so I was like thinking about those

858
00:44:21,560 --> 00:44:25,040
Speaker 6: types of extremes, And then I thought I was pretty

859
00:44:25,080 --> 00:44:28,200
Speaker 6: country like until I heard some of the stuff that

860
00:44:28,480 --> 00:44:30,920
Speaker 6: he was he was saying. I was like, I've heard it,

861
00:44:31,080 --> 00:44:36,480
Speaker 6: but it didn't like yeah, yeah, okay, carry on.

862
00:44:37,040 --> 00:44:41,399
Speaker 2: Question number four, what word did Doctor Blevin's grandparents use

863
00:44:41,520 --> 00:44:43,000
Speaker 2: for a bag or sack?

864
00:44:45,120 --> 00:44:47,400
Speaker 1: I never I'd never heard this one. Did you heard it?

865
00:44:47,440 --> 00:44:47,480
Speaker 6: Mo?

866
00:44:47,800 --> 00:44:48,279
Speaker 4: Yes, sir?

867
00:44:48,600 --> 00:44:48,960
Speaker 1: For real?

868
00:44:49,080 --> 00:44:50,080
Speaker 4: Yeah? When I was growing up.

869
00:44:50,360 --> 00:44:52,320
Speaker 1: Really yeah, I've never heard it before.

870
00:44:52,560 --> 00:44:53,560
Speaker 6: I don't know how to spell it.

871
00:44:53,800 --> 00:44:56,359
Speaker 2: I'm gonna start with the sin to be doctor Clay

872
00:44:56,480 --> 00:45:02,080
Speaker 2: nukem poke, poke, misty poke, the longer poke, that's poke,

873
00:45:02,360 --> 00:45:06,239
Speaker 2: like what you eat in white. I'm just kidding, mo.

874
00:45:06,560 --> 00:45:08,400
Speaker 4: I think we'll get those little pigs out of the pen.

875
00:45:08,440 --> 00:45:09,719
Speaker 4: We're gonna put them in a poke and carry them

876
00:45:09,719 --> 00:45:10,480
Speaker 4: over in another pan.

877
00:45:10,640 --> 00:45:14,440
Speaker 2: All right, poke poke, and Kolby writes the French version.

878
00:45:14,719 --> 00:45:21,879
Speaker 3: Yeah, oh yeah, I wouldn't contact answers poke excellent poke.

879
00:45:22,840 --> 00:45:23,040
Speaker 6: Yeah.

880
00:45:23,040 --> 00:45:25,279
Speaker 1: I never heard that one either. Yeah, i'd never heard it.

881
00:45:25,360 --> 00:45:27,160
Speaker 2: I had heard it, but I I don't think I

882
00:45:27,239 --> 00:45:29,440
Speaker 2: knew what it meant. Like i'd heard someone say put

883
00:45:29,480 --> 00:45:31,200
Speaker 2: that in a poke, and I was like, I don't

884
00:45:31,200 --> 00:45:33,279
Speaker 2: know if that is. I think I think my my

885
00:45:33,440 --> 00:45:37,440
Speaker 2: wife's grandmother used to say that, Yeah, poke, Grandpa Oklahoma.

886
00:45:37,719 --> 00:45:39,759
Speaker 6: I wouldn't say. I think. I think we've used it

887
00:45:39,800 --> 00:45:41,520
Speaker 6: whenever we're shooting. It's like going to give it a poke,

888
00:45:42,040 --> 00:45:45,680
Speaker 6: but different context, different poke, different poke.

889
00:45:45,760 --> 00:45:49,279
Speaker 2: Okay, this is something we've talked about already. But I'll

890
00:45:49,280 --> 00:45:51,440
Speaker 2: give you credit for it if you know name one

891
00:45:51,520 --> 00:45:54,360
Speaker 2: of the two words that doctor Blevin's references from the

892
00:45:54,440 --> 00:45:57,920
Speaker 2: nineteen ninety six movie sling Blade starring Billy Bob Thornton.

893
00:45:58,280 --> 00:46:00,000
Speaker 2: There were two words that he mentioned from.

894
00:45:59,840 --> 00:46:00,239
Speaker 6: The US.

895
00:46:06,440 --> 00:46:10,160
Speaker 1: Moe. Uh, I'm gonna ask you as soon as we

896
00:46:10,239 --> 00:46:13,840
Speaker 1: get this one, what's your what you thought, what stood

897
00:46:13,840 --> 00:46:16,320
Speaker 1: out to you most? And if there's any peculiar words

898
00:46:16,360 --> 00:46:19,200
Speaker 1: that you would added to doctor Blevins. But let's go

899
00:46:19,239 --> 00:46:19,960
Speaker 1: ahead and do this one.

900
00:46:20,080 --> 00:46:26,280
Speaker 2: Okay, all right, we're gonna again. Stob yep stop stob

901
00:46:26,480 --> 00:46:29,759
Speaker 2: stop stop. Anybody remember the other one that he said.

902
00:46:29,920 --> 00:46:30,680
Speaker 1: I couldn't remember.

903
00:46:31,600 --> 00:46:33,560
Speaker 2: When he calls, when he picks up and calls nine

904
00:46:33,560 --> 00:46:37,000
Speaker 2: to one one one, he says, to send send a hearst.

905
00:46:38,840 --> 00:46:40,520
Speaker 1: Yeah, what's it supposed to be?

906
00:46:41,680 --> 00:46:45,720
Speaker 2: It's a hearse. Hearse is a is a type of vehicle.

907
00:46:45,840 --> 00:46:49,160
Speaker 2: But what we primarily use for funerals now to carry

908
00:46:49,200 --> 00:46:52,719
Speaker 2: a cast. They used to be they used to be

909
00:46:52,840 --> 00:46:55,719
Speaker 2: used for ambulances. And it's h E A r s

910
00:46:55,920 --> 00:46:59,080
Speaker 2: E hearse. That's the actual that's the actual word. Well

911
00:46:59,239 --> 00:47:05,600
Speaker 2: award hirsh hirsh. Yeah, it's he says hurst. And that's

912
00:47:05,680 --> 00:47:08,560
Speaker 2: one of the things that he mentioned that I thought,

913
00:47:08,800 --> 00:47:09,920
Speaker 2: if you had asked me how to.

914
00:47:09,960 --> 00:47:12,160
Speaker 1: Spell that, I would have spelled it h E r

915
00:47:12,280 --> 00:47:13,759
Speaker 1: s t A t r.

916
00:47:14,360 --> 00:47:17,319
Speaker 4: I've always heard h A r s e is the.

917
00:47:18,680 --> 00:47:22,920
Speaker 1: That I'd like to hear from somebody up up somewhere

918
00:47:22,960 --> 00:47:23,279
Speaker 1: else that.

919
00:47:25,400 --> 00:47:27,840
Speaker 2: Say it hearst aharset.

920
00:47:28,160 --> 00:47:29,959
Speaker 5: I feel like in the Spelling Bee we were asked

921
00:47:29,960 --> 00:47:30,640
Speaker 5: to spell hurst.

922
00:47:32,360 --> 00:47:40,440
Speaker 8: Maybe in like the half Field Spelling Bee. Don't is

923
00:47:40,480 --> 00:47:43,920
Speaker 8: anything your grandparents said that you can a r c.

924
00:47:44,120 --> 00:47:48,320
Speaker 2: According to the Almighty Wikipedia, the word is h A

925
00:47:48,640 --> 00:47:48,920
Speaker 2: r s.

926
00:47:49,000 --> 00:47:50,359
Speaker 1: E hearset urse.

927
00:47:51,960 --> 00:47:55,560
Speaker 3: I don't know really about any particular word, but there's

928
00:47:55,560 --> 00:47:59,120
Speaker 3: a lot of words that I probably say that I

929
00:47:59,239 --> 00:48:05,440
Speaker 3: learned from them them, like learn, learned, learned, you know.

930
00:48:05,560 --> 00:48:08,960
Speaker 4: I mean, it's just this way. I know a lot

931
00:48:09,000 --> 00:48:10,719
Speaker 4: of words that had tea's on the end of them

932
00:48:10,800 --> 00:48:12,359
Speaker 4: that don't have t's on the end of them.

933
00:48:12,480 --> 00:48:16,600
Speaker 2: Yeah, did your family say let me learn you? Or

934
00:48:16,680 --> 00:48:17,719
Speaker 2: did they say let me teach you?

935
00:48:18,960 --> 00:48:20,479
Speaker 4: They didn't, They didn't learn me nothing.

936
00:48:22,800 --> 00:48:26,920
Speaker 5: What about cleaning your hands? How would y'all if if

937
00:48:27,000 --> 00:48:30,040
Speaker 5: someone said go take care of your hands? What would

938
00:48:30,040 --> 00:48:30,279
Speaker 5: they say?

939
00:48:30,400 --> 00:48:31,080
Speaker 4: Go worsh up?

940
00:48:31,200 --> 00:48:31,399
Speaker 5: Yeah?

941
00:48:32,880 --> 00:48:37,600
Speaker 1: Yeah, I expected worsh yeah. Yeah. That that would be

942
00:48:37,800 --> 00:48:38,920
Speaker 1: very common were down here.

943
00:48:39,160 --> 00:48:40,240
Speaker 5: That's my great grandparents.

944
00:48:40,280 --> 00:48:43,480
Speaker 1: See, and that's the way that Gary wouldn't have we

945
00:48:43,560 --> 00:48:45,120
Speaker 1: would have been not allowed to.

946
00:48:45,160 --> 00:48:46,200
Speaker 4: Allowed to say that.

947
00:48:47,120 --> 00:48:51,200
Speaker 1: But like everybody went to school with said worsh hands.

948
00:48:53,160 --> 00:48:56,320
Speaker 1: One thing, uh, we were talking about. So in the

949
00:48:56,360 --> 00:48:59,040
Speaker 1: Burgreas Hall of Fame, one of the original members of

950
00:48:59,040 --> 00:49:01,879
Speaker 1: the Burgers Hall of Fame Hall of Fame, Aura Lee

951
00:49:02,040 --> 00:49:06,040
Speaker 1: Province Moe introduced me to our years and years ago

952
00:49:07,040 --> 00:49:09,520
Speaker 1: and uh, because or had killed some big deer. And

953
00:49:09,640 --> 00:49:12,759
Speaker 1: in his the way I was introduced to him was

954
00:49:12,960 --> 00:49:17,800
Speaker 1: his name was or or as in the same the same.

955
00:49:18,200 --> 00:49:20,520
Speaker 4: Or even spelled it O r e E when he

956
00:49:20,560 --> 00:49:22,000
Speaker 4: had write it down, even though.

957
00:49:23,120 --> 00:49:30,719
Speaker 2: Question typically done to the name to a name the

958
00:49:30,880 --> 00:49:37,560
Speaker 2: ends in a question got any that will just make

959
00:49:37,640 --> 00:49:38,320
Speaker 2: that for everybody.

960
00:49:38,480 --> 00:49:41,080
Speaker 1: Okay, everybody would have know that. Well, let me tell

961
00:49:41,160 --> 00:49:42,440
Speaker 1: a story about or.

962
00:49:43,440 --> 00:49:43,480
Speaker 5: So.

963
00:49:43,880 --> 00:49:48,520
Speaker 1: His name is Aura, and uh, he he told me

964
00:49:49,719 --> 00:49:53,840
Speaker 1: he uh he called Oklahoma Oklahoma. He did it actually

965
00:49:53,960 --> 00:49:58,880
Speaker 1: on on the podcast podcast. He called it Oklahoma because

966
00:49:58,920 --> 00:50:00,919
Speaker 1: and it's just like his name, I mean, it's the same,

967
00:50:01,680 --> 00:50:04,000
Speaker 1: the same thing that he was using his name for

968
00:50:04,160 --> 00:50:10,520
Speaker 1: Oklahoma Oakrey Or. Now you said you had some ants

969
00:50:10,560 --> 00:50:11,640
Speaker 1: that had the last name A.

970
00:50:12,239 --> 00:50:14,880
Speaker 4: Yeah, I mean I had had two aunts.

971
00:50:15,200 --> 00:50:17,600
Speaker 3: One was that they had the same name, and we

972
00:50:17,719 --> 00:50:22,320
Speaker 3: called them both Edney and Edney. Ain't Edney, you know,

973
00:50:22,560 --> 00:50:25,480
Speaker 3: but they were two different ants. And their names were

974
00:50:25,560 --> 00:50:29,360
Speaker 3: E d n A Edna. It was Edna, but we

975
00:50:29,440 --> 00:50:32,359
Speaker 3: called them aunt Edney and Edney and Edney.

976
00:50:32,560 --> 00:50:35,239
Speaker 1: Yeah, yeah, you know that just dawn on me.

977
00:50:35,880 --> 00:50:39,920
Speaker 2: My my wife's grandmother. Her name was oma O m

978
00:50:39,960 --> 00:50:41,840
Speaker 2: A and they always called.

979
00:50:41,680 --> 00:50:42,720
Speaker 1: Her Omi Omi.

980
00:50:43,000 --> 00:50:43,200
Speaker 6: Yeah.

981
00:50:44,120 --> 00:50:48,359
Speaker 1: Uh, I remember uh had a province and she went

982
00:50:48,400 --> 00:50:52,120
Speaker 1: by was Omi. I heard ori province say that he

983
00:50:52,760 --> 00:50:56,359
Speaker 1: clumb a tree. Clumb clumb. Now that's a pretty good word.

984
00:50:56,640 --> 00:51:01,560
Speaker 1: I've heard that because climb climb, I mean there's a

985
00:51:01,600 --> 00:51:02,759
Speaker 1: difference between.

986
00:51:03,719 --> 00:51:05,399
Speaker 4: Make difference in climbing and climb up something.

987
00:51:05,560 --> 00:51:08,239
Speaker 1: Yeah, it's it's a good word. I clumb a tree.

988
00:51:08,560 --> 00:51:11,239
Speaker 1: But I'll tell you where I heard a young man

989
00:51:11,480 --> 00:51:16,640
Speaker 1: say that. Was up in central Missouri. My my, uh,

990
00:51:17,760 --> 00:51:20,759
Speaker 1: my buddy, Quentin Rambo is his name? Young guy like

991
00:51:20,920 --> 00:51:24,560
Speaker 1: probably yeah, his name is Quentin Rambo and uh and

992
00:51:24,719 --> 00:51:28,759
Speaker 1: he he was just in average conversation. One time I

993
00:51:28,840 --> 00:51:32,680
Speaker 1: heard him say something clumb the fence or clumb a tree,

994
00:51:32,760 --> 00:51:36,600
Speaker 1: can't remember. And I remember being keyed in and like, really, clumb.

995
00:51:38,280 --> 00:51:40,640
Speaker 2: What do you call the states?

996
00:51:41,719 --> 00:51:42,279
Speaker 4: What do I call?

997
00:51:42,360 --> 00:51:42,400
Speaker 7: What?

998
00:51:42,600 --> 00:51:44,640
Speaker 2: What do you call the state that's just north of US?

999
00:51:46,280 --> 00:51:46,680
Speaker 4: Missouri?

1000
00:51:47,080 --> 00:51:47,840
Speaker 2: You say Missouri?

1001
00:51:48,040 --> 00:51:48,400
Speaker 1: Missouri?

1002
00:51:48,680 --> 00:51:50,960
Speaker 2: Yeah. I hear a lot of people call it Missouri.

1003
00:51:51,320 --> 00:51:51,520
Speaker 6: Yeah.

1004
00:51:52,280 --> 00:51:55,640
Speaker 4: I just always called it Missouri Missouri because I got

1005
00:51:55,640 --> 00:51:57,880
Speaker 4: a lot of kin folks live up there Missouri. When

1006
00:51:57,880 --> 00:51:59,000
Speaker 4: they get on to me, if I don't.

1007
00:51:58,800 --> 00:52:03,200
Speaker 2: Say, okay, all right, what was the name doctor Blevins

1008
00:52:03,360 --> 00:52:04,840
Speaker 2: used for a cicada?

1009
00:52:05,440 --> 00:52:05,800
Speaker 1: Mmmm?

1010
00:52:06,800 --> 00:52:07,759
Speaker 4: Same thing I call him.

1011
00:52:09,000 --> 00:52:10,480
Speaker 2: I'd never heard that before.

1012
00:52:11,080 --> 00:52:12,239
Speaker 4: I used to catch him as a kid.

1013
00:52:14,719 --> 00:52:21,640
Speaker 2: All right, doctor misty jarfly?

1014
00:52:22,600 --> 00:52:22,640
Speaker 6: Mo?

1015
00:52:22,920 --> 00:52:24,080
Speaker 1: So you called them a jar fly?

1016
00:52:24,600 --> 00:52:27,440
Speaker 4: Everybody did? Really what a cicada was? Somebody tell us

1017
00:52:27,640 --> 00:52:29,520
Speaker 4: the cicadas out in the yard. We said, we better

1018
00:52:29,600 --> 00:52:30,320
Speaker 4: run hide.

1019
00:52:31,920 --> 00:52:35,000
Speaker 1: Jarfly? Now did you ever equate jarfly? Is it the

1020
00:52:35,160 --> 00:52:36,400
Speaker 1: noise jarred your ears?

1021
00:52:37,960 --> 00:52:38,000
Speaker 5: No?

1022
00:52:39,200 --> 00:52:43,120
Speaker 1: Because surprised me, because I I would have thought a

1023
00:52:43,280 --> 00:52:45,799
Speaker 1: jarfly meant they caught him and put him in jars.

1024
00:52:46,040 --> 00:52:48,680
Speaker 6: He did that with lightning bugs, we would have thought

1025
00:52:48,760 --> 00:52:50,200
Speaker 6: somebody was talking about if I heard it.

1026
00:52:50,640 --> 00:52:52,520
Speaker 2: And if you're from up north, you call them, you

1027
00:52:52,640 --> 00:52:57,240
Speaker 2: call them not not lightning bugs. You call them fireflies.

1028
00:52:58,400 --> 00:53:01,560
Speaker 2: That's a that's another word that separates.

1029
00:53:01,120 --> 00:53:01,880
Speaker 4: You another Yankee.

1030
00:53:02,120 --> 00:53:04,640
Speaker 1: Yeah, call them fireflies.

1031
00:53:04,680 --> 00:53:07,720
Speaker 5: To go back and forth, because I call them lightning bugs,

1032
00:53:07,760 --> 00:53:10,560
Speaker 5: and your dad called them fireflies and Shepherd called themirees.

1033
00:53:12,920 --> 00:53:14,680
Speaker 6: This kind of stuff comes up in my house all

1034
00:53:14,680 --> 00:53:16,840
Speaker 6: the time because my wife was born up in Montana

1035
00:53:16,880 --> 00:53:18,000
Speaker 6: and then was in South Dakota.

1036
00:53:18,760 --> 00:53:20,480
Speaker 5: And they say, and she ridicules me.

1037
00:53:21,040 --> 00:53:23,600
Speaker 1: What does she what does she say that you like?

1038
00:53:23,719 --> 00:53:24,560
Speaker 1: What's the example?

1039
00:53:24,680 --> 00:53:26,680
Speaker 6: Like if you go if you go to the store

1040
00:53:26,719 --> 00:53:28,320
Speaker 6: and you get one of the carts, what do you

1041
00:53:28,360 --> 00:53:28,600
Speaker 6: call it?

1042
00:53:29,239 --> 00:53:29,560
Speaker 1: Buggy?

1043
00:53:29,920 --> 00:53:31,719
Speaker 6: Yeah, that's what I call it. And she ridicules me.

1044
00:53:31,800 --> 00:53:32,680
Speaker 6: She's like, that's a cart.

1045
00:53:35,880 --> 00:53:39,359
Speaker 2: She also calls a poke a bag big.

1046
00:53:42,000 --> 00:53:45,000
Speaker 5: We've I've actually had some real fun conversations with with

1047
00:53:45,560 --> 00:53:47,759
Speaker 5: her and with others where we just stare at each

1048
00:53:47,800 --> 00:53:50,880
Speaker 5: other and try to figure out what they're what they're saying.

1049
00:53:51,360 --> 00:53:54,319
Speaker 4: I may have missed it, but we was talking about

1050
00:53:54,320 --> 00:53:55,160
Speaker 4: something made me think of something.

1051
00:53:55,200 --> 00:53:58,840
Speaker 3: Then doctors talked about a lot of words ending different

1052
00:53:58,880 --> 00:54:00,879
Speaker 3: than Actually the ray Leys bailed and I don't remember

1053
00:54:00,960 --> 00:54:04,640
Speaker 3: him saying it, but as I grew up in my

1054
00:54:04,760 --> 00:54:07,800
Speaker 3: whole family, Harley was hardly any of us put.

1055
00:54:07,640 --> 00:54:10,000
Speaker 1: A G on the end of our words, right, right.

1056
00:54:10,320 --> 00:54:11,200
Speaker 4: But I don't remember him.

1057
00:54:11,080 --> 00:54:13,240
Speaker 1: Saying anything about thinking, running, hunting.

1058
00:54:13,360 --> 00:54:15,279
Speaker 4: Yeah, did he say anything about that?

1059
00:54:15,480 --> 00:54:18,080
Speaker 1: You know he didn't, He didn't, he did, Yeah, he

1060
00:54:18,160 --> 00:54:19,240
Speaker 1: didn't talk about dropping.

1061
00:54:19,239 --> 00:54:22,840
Speaker 2: I don't know if that's peculiar to the to the

1062
00:54:23,080 --> 00:54:26,880
Speaker 2: Ozark Appalachian. I think that that that goes for a

1063
00:54:27,000 --> 00:54:28,720
Speaker 2: lot of the South in general.

1064
00:54:28,840 --> 00:54:31,040
Speaker 3: Yeah, I mean to properly to say it is running

1065
00:54:31,160 --> 00:54:34,320
Speaker 3: or walking, but running walking, yep, walking talking?

1066
00:54:35,000 --> 00:54:39,200
Speaker 2: Okay, what word did President Bill Clinton using a public

1067
00:54:39,239 --> 00:54:41,600
Speaker 2: speech in nineteen ninety nine that caused an article to

1068
00:54:41,680 --> 00:54:47,399
Speaker 2: be written about it in Slate magazine. I actually looked

1069
00:54:47,480 --> 00:54:48,279
Speaker 2: up the article.

1070
00:54:49,680 --> 00:54:50,320
Speaker 5: Is How I Spell It?

1071
00:54:51,120 --> 00:54:54,279
Speaker 2: It was an interesting story because they there was a

1072
00:54:54,320 --> 00:54:56,080
Speaker 2: big debate on how it was spelled.

1073
00:54:56,680 --> 00:54:59,120
Speaker 5: Oh oh really, yeah, it's pretty obvious.

1074
00:54:59,200 --> 00:55:02,800
Speaker 2: Okay, thank. I was bumfuzzled, fled?

1075
00:55:03,000 --> 00:55:04,040
Speaker 1: Yeah, so he was.

1076
00:55:04,239 --> 00:55:07,319
Speaker 2: He was talking to Congress actually, and he was talking

1077
00:55:07,360 --> 00:55:11,480
Speaker 2: about the American people being bum fuzzled about uh, the

1078
00:55:11,600 --> 00:55:15,560
Speaker 2: surplus of Social Security being used for other things in

1079
00:55:15,640 --> 00:55:20,319
Speaker 2: the budget, bum fuzzled, and that the big the big

1080
00:55:20,440 --> 00:55:22,319
Speaker 2: debate was whether or not it was a dirty word.

1081
00:55:22,440 --> 00:55:25,120
Speaker 2: They were like, is this a is this a profanity

1082
00:55:25,200 --> 00:55:28,239
Speaker 2: that he's using? Or yeah, bum fuzzled. I might never

1083
00:55:28,280 --> 00:55:30,080
Speaker 2: heard it. No, no one had ever heard it before.

1084
00:55:30,880 --> 00:55:34,360
Speaker 2: The New York Times originally spelled it h b U,

1085
00:55:34,640 --> 00:55:38,000
Speaker 2: m f U s s l ed, bum fuzzled.

1086
00:55:39,600 --> 00:55:42,400
Speaker 5: Yeah, that's one of those words that I would not

1087
00:55:42,480 --> 00:55:43,800
Speaker 5: have known that people did not know.

1088
00:55:44,640 --> 00:55:46,600
Speaker 2: I mean, it seems like you should be able to

1089
00:55:46,719 --> 00:55:49,320
Speaker 2: pick up on it by context clues.

1090
00:55:49,600 --> 00:55:52,759
Speaker 1: Yeah, I honestly will known that that was like a

1091
00:55:52,920 --> 00:55:54,560
Speaker 1: real word. I would have thought it was just like

1092
00:55:55,440 --> 00:55:58,600
Speaker 1: some random thing that like you said, like, yeah, mixing words.

1093
00:55:58,800 --> 00:56:01,399
Speaker 4: Yeah, you asked me, it's clay wall. I just thought

1094
00:56:01,440 --> 00:56:04,279
Speaker 4: of one my dad used to say, and I really

1095
00:56:04,320 --> 00:56:10,600
Speaker 4: don't know what it actually means. It's not profanity. But

1096
00:56:11,320 --> 00:56:16,960
Speaker 4: he'd say something about being barnswaggled with something, barn barnswaggled.

1097
00:56:16,760 --> 00:56:17,799
Speaker 2: Barnes swaggled.

1098
00:56:18,400 --> 00:56:21,080
Speaker 4: I don't know how you would spell it. Somebody looked up.

1099
00:56:21,520 --> 00:56:23,440
Speaker 4: He would say that about stuff. He'd say, you know,

1100
00:56:23,560 --> 00:56:25,200
Speaker 4: we we got barnswaggled by that.

1101
00:56:25,440 --> 00:56:28,480
Speaker 3: Or I think it meant tricked, that's what I kind

1102
00:56:28,520 --> 00:56:31,359
Speaker 3: of think, maybe tricked or overwhelmed, overwhelmed by something other

1103
00:56:31,440 --> 00:56:32,680
Speaker 3: or something done sort.

1104
00:56:32,680 --> 00:56:34,719
Speaker 6: Swaggled, overwhelmed, and trapped as well.

1105
00:56:36,320 --> 00:56:40,279
Speaker 2: We got a verb a verb that this According to

1106
00:56:40,400 --> 00:56:45,359
Speaker 2: Urban Dictionary, it means urban mhm.

1107
00:56:48,960 --> 00:56:49,000
Speaker 5: Is.

1108
00:56:49,040 --> 00:56:53,360
Speaker 2: It is a verb that means to be tricked or

1109
00:56:53,480 --> 00:56:55,880
Speaker 2: duped or taken advantage of or cheated.

1110
00:56:56,239 --> 00:56:58,560
Speaker 1: Barn swaggled. That's good barn swoggled.

1111
00:56:59,000 --> 00:57:03,040
Speaker 5: Okay, he used another phrase in there, al swan. My

1112
00:57:03,160 --> 00:57:07,440
Speaker 5: grandma said that at the time, and I've always when

1113
00:57:07,480 --> 00:57:10,600
Speaker 5: he was al swan a swan, That's what my grandma

1114
00:57:10,640 --> 00:57:12,680
Speaker 5: always used to say, and he used it on his

1115
00:57:12,800 --> 00:57:14,560
Speaker 5: Adam and Eve thing at the very end.

1116
00:57:14,880 --> 00:57:15,960
Speaker 4: Yeah, he's talking about that.

1117
00:57:16,080 --> 00:57:19,840
Speaker 1: Hey, did y'all did uh? For those of you like

1118
00:57:19,920 --> 00:57:22,680
Speaker 1: me and Josh kind of helped create this. And sometimes

1119
00:57:22,680 --> 00:57:25,959
Speaker 1: when you're trying to make something funny, it's not nearly

1120
00:57:26,000 --> 00:57:29,200
Speaker 1: as funny as you thought it was. Did you think

1121
00:57:29,400 --> 00:57:31,720
Speaker 1: me ridiculed and all the other dialects was funny?

1122
00:57:32,160 --> 00:57:33,080
Speaker 5: I thought it was kind of mean.

1123
00:57:37,720 --> 00:57:41,040
Speaker 6: I figured I figured Josh heard something when Christy.

1124
00:57:40,800 --> 00:57:46,240
Speaker 2: Heard it, well, so no, I thought it was I

1125
00:57:46,320 --> 00:57:47,160
Speaker 2: thought it was hilarious.

1126
00:57:47,840 --> 00:57:49,840
Speaker 1: Okay, Yeah, me and Josh thought it was funny.

1127
00:57:50,200 --> 00:57:51,600
Speaker 3: I thought it was funny. When you really when you

1128
00:57:51,680 --> 00:57:54,240
Speaker 3: criticize that voice. I heard it sounded like Josh biel

1129
00:57:54,280 --> 00:57:54,760
Speaker 3: Maker on it.

1130
00:57:55,080 --> 00:57:57,000
Speaker 1: Yeah, yeah, yeah, that's right.

1131
00:57:57,720 --> 00:57:58,439
Speaker 2: Okay, what team.

1132
00:57:58,800 --> 00:57:59,960
Speaker 1: I just wanted to let America.

1133
00:58:00,040 --> 00:58:00,200
Speaker 6: I know.

1134
00:58:00,320 --> 00:58:05,040
Speaker 1: It was a joke. Okay, Like to understand bear grease,

1135
00:58:05,120 --> 00:58:07,720
Speaker 1: you have to you have to be a little complex.

1136
00:58:08,560 --> 00:58:12,840
Speaker 1: So we were, we were we were highlighting that we

1137
00:58:13,080 --> 00:58:18,360
Speaker 1: have this like like centric view of the world based

1138
00:58:18,440 --> 00:58:21,560
Speaker 1: upon where we're from, and we think it's right. And

1139
00:58:21,640 --> 00:58:23,720
Speaker 1: so clearly that's what I was. That's why I was

1140
00:58:23,800 --> 00:58:27,480
Speaker 1: making fun I got rid. I was so enamored with

1141
00:58:28,080 --> 00:58:32,480
Speaker 1: our own dialect. But really, there's you can't help it

1142
00:58:32,600 --> 00:58:35,720
Speaker 1: if the other dialects just aren't that interesting. That's not

1143
00:58:35,840 --> 00:58:36,280
Speaker 1: my fault.

1144
00:58:36,280 --> 00:58:37,760
Speaker 5: Weaker.

1145
00:58:38,520 --> 00:58:38,960
Speaker 2: There we go.

1146
00:58:39,560 --> 00:58:42,160
Speaker 1: That was that was a joke. That was funny.

1147
00:58:42,560 --> 00:58:46,960
Speaker 2: I think my wife has the most neutral accent in history.

1148
00:58:47,080 --> 00:58:49,800
Speaker 2: Like I'm like, it's nothing.

1149
00:58:50,120 --> 00:58:52,720
Speaker 1: Well, she's from Saint Louis. Well I grew up and grew.

1150
00:58:52,640 --> 00:58:55,400
Speaker 2: Up in Saint Louis. But but her mom and dad

1151
00:58:55,560 --> 00:58:59,280
Speaker 2: have Southern accent. You know, they're both from you know,

1152
00:59:00,320 --> 00:59:03,560
Speaker 2: her mom's from rural Oklahoma or dad's from Oklahoma, and

1153
00:59:04,080 --> 00:59:08,920
Speaker 2: like all her family has upland South you know speech,

1154
00:59:09,640 --> 00:59:13,920
Speaker 2: but she's just very neutral. It's interesting to me. What

1155
00:59:14,080 --> 00:59:17,200
Speaker 2: TV show did doctor Blevin say gave a good representation

1156
00:59:17,320 --> 00:59:19,440
Speaker 2: of the upland south dialect. If you don't get this

1157
00:59:20,160 --> 00:59:26,720
Speaker 2: TV show, TV show yep, not movie, not movie TV show.

1158
00:59:26,640 --> 00:59:32,080
Speaker 1: You Oh okay, I'm forgetting the name of the show.

1159
00:59:33,280 --> 00:59:35,960
Speaker 5: For you don't know the show. If you're forgetting the name, needs.

1160
00:59:35,840 --> 00:59:36,720
Speaker 2: To miss one anyway.

1161
00:59:37,240 --> 00:59:41,080
Speaker 1: I mean, uh, actually, okay, I got I got, I got.

1162
00:59:46,080 --> 00:59:50,480
Speaker 2: I got everybody show it once, Andy Griffith, Andy Griffith.

1163
00:59:51,080 --> 00:59:56,320
Speaker 5: Whistle, that show that was my mom's. I mean, we

1164
00:59:56,480 --> 00:59:57,320
Speaker 5: watched that every night.

1165
00:59:59,800 --> 01:00:10,360
Speaker 2: He and then last question, what is an archaic intensifying prefix?

1166
01:00:11,160 --> 01:00:11,400
Speaker 1: Whoa?

1167
01:00:12,520 --> 01:00:17,400
Speaker 2: This was mentioned? Think about that archaic intensifying prefix?

1168
01:00:20,160 --> 01:00:24,920
Speaker 1: Mm hmm. I did see, but you might have got it.

1169
01:00:25,000 --> 01:00:26,760
Speaker 5: I might have gotten it without it, but I can't

1170
01:00:26,880 --> 01:00:27,960
Speaker 5: in honesty say that.

1171
01:00:28,560 --> 01:00:30,360
Speaker 2: Chaic intensifying prefix.

1172
01:00:32,600 --> 01:00:33,520
Speaker 4: I ain't got a hanker?

1173
01:00:36,080 --> 01:00:36,440
Speaker 2: All right?

1174
01:00:37,040 --> 01:00:39,120
Speaker 1: You got it? Almost? Okay?

1175
01:00:41,440 --> 01:00:41,800
Speaker 5: Almost?

1176
01:00:43,400 --> 01:00:47,000
Speaker 2: When you add an a to an action verb a

1177
01:00:47,160 --> 01:00:48,160
Speaker 2: hunting a.

1178
01:00:48,240 --> 01:00:52,720
Speaker 5: Go And we have most Shepherd's compliments on my drawing

1179
01:00:52,800 --> 01:00:55,520
Speaker 5: this week. This was a contribution with.

1180
01:00:57,160 --> 01:00:58,320
Speaker 1: What are you going to call this one?

1181
01:00:58,600 --> 01:01:00,919
Speaker 2: And as winner of that question.

1182
01:01:01,120 --> 01:01:03,000
Speaker 5: He's a winner of that question. But I think if

1183
01:01:03,040 --> 01:01:04,960
Speaker 5: you'll notice my score at the top, I think you

1184
01:01:05,440 --> 01:01:05,720
Speaker 5: beat me.

1185
01:01:06,160 --> 01:01:14,320
Speaker 2: That's a score has five six seven said seven. Misty

1186
01:01:14,360 --> 01:01:15,520
Speaker 2: and Bear are winners this week.

1187
01:01:16,800 --> 01:01:21,520
Speaker 1: Guys. Good job. Well we uh, I hope everybody has

1188
01:01:21,560 --> 01:01:26,840
Speaker 1: a great Christmas and uh, there'll be there'll be some more.

1189
01:01:27,200 --> 01:01:29,880
Speaker 1: There'll be another Beggars episode that comes out before Christmas.

1190
01:01:29,960 --> 01:01:33,080
Speaker 2: There will be a episode on Christmas, on Christmas.

1191
01:01:32,920 --> 01:01:33,880
Speaker 1: On Christmas Day.

1192
01:01:34,400 --> 01:01:35,440
Speaker 5: Oh wow, christ.

1193
01:01:38,000 --> 01:01:38,440
Speaker 1: Christmas.

1194
01:01:38,520 --> 01:01:40,400
Speaker 5: What's that Christmas miracle?

1195
01:01:40,960 --> 01:01:43,560
Speaker 1: A Christmas Miracle episode that's going to be Listen to

1196
01:01:43,640 --> 01:01:47,040
Speaker 1: it before you open your presence. Yeah, it'll be interesting.

1197
01:01:47,080 --> 01:01:50,160
Speaker 1: It's it's kind of a look back if you if

1198
01:01:50,200 --> 01:01:53,760
Speaker 1: you will, it should be good. It's it's uh, it's

1199
01:01:53,800 --> 01:01:57,000
Speaker 1: been it's been a good one. Keep the wild places wild,

1200
01:01:57,800 --> 01:01:58,920
Speaker 1: so it's where the squirrels live.

1201
01:02:11,520 --> 01:02:11,560
Speaker 6: H