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Speaker 1: Smell us.

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Speaker 2: Welcome to Meat Eater Trivia podcast. Welcome to Meet Eater

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Speaker 2: Radio Live. It's eleven am Mountain Time on October seventeenth,

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Speaker 2: and we're live from Meet Theater HQ and Boasman, Montana.

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Speaker 2: I'm your host, Spencer Newhart, joined today by Ryan Callahan

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Speaker 2: and Seth Morris. On today's show, we're talking to doctor

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Speaker 2: Solomon David about the evolution of gar. Then we've got

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Speaker 2: a migration report from Matt McCormick, followed by one minute

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Speaker 2: fishing at the Office Pond with Hillary. Then we'll find

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Speaker 2: out how much Cal and Seth know about their fellow

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Speaker 2: hunters and anglers with a game of meat poll, followed

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Speaker 2: by a chettiquet about public land duck hunting. And finally

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Speaker 2: we'll talk to Danielle Pruitt about the correct way to

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Speaker 2: brown ground meat. First, I need an update from you

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Speaker 2: boys about Louisiana. You just stepped off the plane, got

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Speaker 2: home back to Montana from the Meat Eater experience at

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Speaker 2: Cypress Cove.

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Speaker 3: Yeah, all my fishing was inshore. Cow got out for

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Speaker 3: some out or offshore stuff, which very jealous of you

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Speaker 3: should be. Yeah, it looked amazing, But now the fishing

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Speaker 3: inshore was fantastic.

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Speaker 4: Yeah, yeah, yeah, so the one off short day, like

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Speaker 4: all the boats that went out had you know, varying

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Speaker 4: degrees of success, like all success across the board, like

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Speaker 4: one of the boats that caught smaller tuna also bumped

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Speaker 4: into like a super bonus school of mahi mahi.

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Speaker 1: The fish so nice they named it twice.

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Speaker 2: Spencer former trivia question, also known as a dolphin fish.

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Speaker 4: Strong strong, And then we yeah, we got we found

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Speaker 4: we got one mark right out of the gate on

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Speaker 4: the sonar, one one little arch and you know, to me,

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Speaker 4: that's not a school of tuna, like okay, that's like

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Speaker 4: a bill fish or something hanging down there. And we

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Speaker 4: threw out two baits and ended up with two like

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Speaker 4: probably like live weight one hundred and seventy pound yellowfin tuna.

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Speaker 2: But I heard that you haven't brought it up yet.

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Speaker 2: But the most envious catch of the whole like three

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Speaker 2: week experience was a gar that you caught, right.

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Speaker 1: Yeah, the guar was awesome.

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Speaker 4: That was super awesome, Yeah, very surprising, extremely lucky.

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Speaker 2: You weren't fishing for gar when you caught the gar.

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Speaker 4: No no, no, no, no, no, Like I mean the whole

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Speaker 4: deal was like light redfish sea trout tackle and that's

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Speaker 4: what I was trying to catch with a little like

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Speaker 4: walleye size swim bait and just had the magical hook

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Speaker 4: placement hookup on.

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Speaker 3: Yeah, I was gonna say, I'm surprised you got to

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Speaker 3: the boat because we had hooked a couple of guard.

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Speaker 1: Too, and they were off.

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Speaker 4: Yeah, as you would expect, right, like armored scales and

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Speaker 4: big old teeth and everything. So yeah, I was just

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Speaker 4: just very lucky.

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Speaker 2: Not just any garn alligator gar. And you can see

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Speaker 2: a photo of Cal holding that gar, I believe on

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Speaker 2: Steve's Instagram. Is that the first alligator gar you've ever caught?

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Speaker 4: I would say, so, I think I got in in Texas.

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Speaker 4: Oh yeah, yeah, well because I'm you know, Montana right

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Speaker 4: like man. Yeah, inundated with.

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Speaker 2: Gary speaking of Guard. Joining us on the line first

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Speaker 2: is doctor Solomon David from the University of Minnesota. Doctor

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Speaker 2: David is an aquatic ecologist in one of the world's

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Speaker 2: foremost authorities on Guard. Doctor David, welcome to the show.

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Speaker 5: Thanks for having me, Spencer and and the rest of you.

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Speaker 6: Good to be here.

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Speaker 2: Solomon David and I have known each other for probably

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Speaker 2: over a decade. It goes back to my days of

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Speaker 2: working at a Federal fish ententry and there was one

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Speaker 2: spring where we raised millions of paddlefish there. And there

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Speaker 2: was one spring where I think we had about a

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Speaker 2: dozen albino or technically lucistic paddlefish that were born, and

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Speaker 2: once they got about ten inches long, I tried to

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Speaker 2: find some zoos and aquariums across the country who'd want

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Speaker 2: to take them. So I reached out to probably twenty

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Speaker 2: zoos and aquariums, and one of the people who responded

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Speaker 2: was doctor David, who worked at Shedd Aquarium at the time,

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Speaker 2: and so I shipped him. Was it one or two

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Speaker 2: paddlefish that I sent you in the mail?

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Speaker 5: I think it might have been too. I think I

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Speaker 5: kind of just helped broker that, you know, that connection there,

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Speaker 5: because that went to the fish people you know on

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Speaker 5: site at shed But I think it might have been too.

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Speaker 2: So I sent him a couple of lucistic paddlefish in

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Speaker 2: the mail. They didn't survive more than like a year,

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Speaker 2: I think, But that was how doctor Solomon David and

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Speaker 2: I got to know each other. Was back my fish

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Speaker 2: hattery day.

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Speaker 4: Was that part of the program where you're like, oh,

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Speaker 4: if you want them to live, you're gonna.

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Speaker 1: Have to buy this other package.

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Speaker 2: No, no, they were, they were totally free. I was.

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Speaker 2: I was just you know, doing it out of the

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Speaker 2: the goodwill of our Federal hatchery. And there was a

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Speaker 2: surprising lack of interest around the country from people not

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Speaker 2: wanting to take a lucistic paddlefish. But doctor Solomon David,

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Speaker 2: I knew him and I would like each other because

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Speaker 2: he was stoked on it.

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Speaker 1: Doctor David.

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Speaker 4: It says in our notes that you're a gar evolution specialist,

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Speaker 4: which strikes me as a really easy job.

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Speaker 1: Yeah, you know what's happened.

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Speaker 4: And then two hundred million years later, same same story.

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Speaker 5: Yeah, it sounds like I don't really do much right

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Speaker 5: If you're studying gar evolution they don't actually evolve. Then

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Speaker 5: you know what what am I sitting here doing? You know,

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Speaker 5: which allows me time to go on meetator and chat

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Speaker 5: with you all. But but no, you know, I'm I'm

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Speaker 5: an aquatic e collogist, so I study how fish interact

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Speaker 5: with their environment and uh, with with other organisms. The

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Speaker 5: gar evolution side is you know, kind of a it's

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Speaker 5: it's part of my work and as you mentioned. Because

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Speaker 5: gars have these what we found to be slow evolutionary rates,

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Speaker 5: they haven't changed a whole lot in their appearance over time.

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Speaker 5: And as you described, I think Spencer is asking, how

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Speaker 5: did you not remember your first gar catch? You know,

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Speaker 5: they got that long snout, lots of teeth, the armored scales,

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Speaker 5: so they basically looked like that for the past one

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Speaker 5: hundred and fifty million years. So even if you don't

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Speaker 5: all remember them, you know they they've been doing that

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Speaker 5: same thing. The next time you see them, they're gonna

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Speaker 5: look the same as they did previously.

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Speaker 7: So they're really cool fish.

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Speaker 5: They've been doing the same thing for a long time,

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Speaker 5: and we're just trying to catch up with the science

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Speaker 5: because that's significantly lagged behind what we know about a

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Speaker 5: lot of other fish.

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Speaker 2: What other fish would have a similar story that they've

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Speaker 2: been unchanged for one hundred and fifty million years.

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Speaker 5: Yeah, you know, the next closest ones would be sturgeons,

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Speaker 5: and like like our story goes the paddlefish. So sturgeons

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Speaker 5: and paddlefish also have very slow rates of evolution, but

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Speaker 5: gar are still the slowest. There was recent research that

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Speaker 5: we did that came out this past spring led by

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Speaker 5: researchers at Yale and University at Buffalo, that's Chase Brownstein

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Speaker 5: and Dan McGuigan. I was a co author on that study,

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Speaker 5: and we found that gars have among the slowest rates

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Speaker 5: of evolution of any vertebrate. And if you kick out

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Speaker 5: hagfish and lampreys, basically you're talking about just vertebrates that

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Speaker 5: have jaws. Gars are the slowest, so slowest rates of

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Speaker 5: evolution compared to things like seal of cants and crocodilians

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Speaker 5: and sharks and you know longfish too. So they've been

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Speaker 5: doing what they've been doing, you know, since before Terrannosaurus rex,

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Speaker 5: and they've kind of persisted long past the dinosaurs.

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Speaker 2: Now, when I worked at the fish entry that we

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Speaker 2: talked about, I used to give a lot of tours

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Speaker 2: and we'd get to a gar in the aquarium, might

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Speaker 2: get a lot of oohs and ahs when I tell

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Speaker 2: people that pioneers would put the gar skin on the

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Speaker 2: front of their plows to break through fields, that gar

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Speaker 2: scales were used as arrowheads, that some Native Americans would

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Speaker 2: use them as breastplates that they used as currency and jewelry.

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Speaker 2: So those are some of the reasons I love gar.

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Speaker 2: But what about you, doctor Solomon. You've dedicated your career

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Speaker 2: to these fish. Give us your elevator gar pitch. Why

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Speaker 2: are they so cool?

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Speaker 1: Yeah?

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Speaker 5: You know, I feel like I gave away some of

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Speaker 5: that already with that. You know, that body plan that

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Speaker 5: you know hasn't changed. And they've been around since before

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Speaker 5: the time of like some of our favorite dinosaurs, like

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Speaker 5: they date back to the late Jurassic periods, so they're

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Speaker 5: older than t rex and triceratops and they've outlasted them.

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Speaker 5: If you look behind me, you can see some of

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Speaker 5: the gars that we've got. If you looked at a

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Speaker 5: fossil gar and you looked at a gar that's alive today,

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Speaker 5: they look very similar to each other. And they've got

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Speaker 5: those armored scales, which are basically made out of tooth enamel,

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Speaker 5: which is the hardest substance.

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Speaker 2: That our bodies produce.

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Speaker 5: So you know, they've got that armored scaling on them,

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Speaker 5: which works well for them. But if you're, let's say,

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Speaker 5: an angler, it makes them a little bit tougher to clean.

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Speaker 5: You can't filay them like you would a bluegill or

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Speaker 5: a walleye or a trout. But they've got all these

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Speaker 5: cool adaptations that have allowed them to survive relatively unchanged

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Speaker 5: for such a long time. They can survive in fresh

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Speaker 5: water and salt water, as I think col and the

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Speaker 5: crew kind of found. You can find them alongside sharks

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Speaker 5: in estuaries. They've got poisonous eggs. Their eggs are toxic

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Speaker 5: to mammals, birds, and most arthropods. And they've got those

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Speaker 5: long jaws with lots of teeth. You can see the

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Speaker 5: picture when we're working with the Kala Kimmel out of

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Speaker 5: US Fish and Wildlife Service.

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Speaker 2: They get huge.

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Speaker 5: The alligator gar can get, you know, right around eight

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Speaker 5: feet long, three hundred pounds. Nothing really messes with them

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Speaker 5: except for humans once they get that big. And you know,

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Speaker 5: they've got this adaptation where they can breathe air too.

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Speaker 5: So you can see us working on this alligator gar

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Speaker 5: at a National Wildlife Refuge, and we can do that

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Speaker 5: with gars because they breathe air. If that was a

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Speaker 5: sturgeon or some other type of fish, it'd be trickier

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Speaker 5: because they can't stay out of the water that long,

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Speaker 5: whereas the gars kind of chill and we can take

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Speaker 5: our measurements, tag them and get them back in the water.

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Speaker 5: So really all these things have allowed them to be

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Speaker 5: successful for a long time.

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Speaker 2: All right, Now, besides just being like really cool and

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Speaker 2: interesting to nerds, why should anglers and game agency specifically

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Speaker 2: care about gar?

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Speaker 5: Yeah, you know, I think that's a great question. You know,

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Speaker 5: when you think about gars, they're great environmental indicators. There's

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Speaker 5: seven species of gars, and all of them tend to

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Speaker 5: migrate to an extent onto vegetation to spawn, so they

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Speaker 5: do have some movement to them. Alligator gars will make

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Speaker 5: big upstream and downstream movements. They move from rivers onto floodplains,

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Speaker 5: so they can be good indicators of aquatic connectivity. They

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Speaker 5: can also be hosts of freshwater muscles, which are also

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Speaker 5: good environmental indicators. And as predatory fish, they help maintain

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Speaker 5: predator prey balances, so they help keep you know, let's say,

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Speaker 5: panfish populations from stunting and overpopulating. They can help you

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Speaker 5: sort of help manage shad and other minno type populations

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Speaker 5: forage fish, and so they can you know, help sort

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Speaker 5: of keep ecosystem balance there and be indicators of overall

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Speaker 5: aquatic ecosystem help.

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Speaker 2: I think most anglers probably have a pretty low opinion

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Speaker 2: of gar and so It would be similar to like

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Speaker 2: a coyote. If if I were to suggest that state

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Speaker 2: agencies need a little more regulation of coyotes, I would

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Speaker 2: be laughed at. But could you say that with gar?

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Speaker 2: Do gar need slightly more regulation than what they have today?

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Speaker 6: Yeah?

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Speaker 5: I would say the short answer is yes, And I

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Speaker 5: think part of that is because we lack a lot

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Speaker 5: of the data that we have on other game fish

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Speaker 5: populations like largemouth bass and trout. I like to say

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Speaker 5: that we're one hundred years behind Walleye with what we

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Speaker 5: know about Walleye, which is Minnesota state fish, so we

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Speaker 5: got a lot of catching up to do. But because

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Speaker 5: they are important apex predators, ecosystem and environmental indicators, we

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Speaker 5: don't know a lot about their population status and health.

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Speaker 5: So we've got to catch up with that. And in

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Speaker 5: order to do that, I think protections are needed because

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Speaker 5: in a lot of states we've done an analysis on this,

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Speaker 5: they have unlimited harvests, so you can harvest as many

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Speaker 5: gars as you want. And we know that fish like

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Speaker 5: the alligator gar can live for over one hundred years.

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Speaker 5: The short nose gar, which is the smallest species, can

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Speaker 5: live for forty nine years, so you've got these long

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Speaker 5: lived fish and not enough data that we know about

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Speaker 5: their populations. We don't know when we might pass a

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Speaker 5: tipping point right to where we may not be able

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Speaker 5: to recover that population and keep that as a natural resource.

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Speaker 2: Now, a little treat for our YouTube audience is that

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Speaker 2: we are seeing some photos from Solomon with alligator gar

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Speaker 2: and one we just saw there was it looked like

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Speaker 2: I can tell if you were doing an autopsy or

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Speaker 2: if you were cleaning one for it to be eaten.

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Speaker 2: Have you ever cleaned and eaten these?

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Speaker 5: I have helped clean them, and I've definitely eaten plenty

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Speaker 5: of types of gars. You're looking at a picture from

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Speaker 5: an alligator gar rodeo that we work with down in Louisiana,

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Speaker 5: and this has been extremely valuable to our lab because

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Speaker 5: we're able to get samples and data off these fish

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Speaker 5: that are being harvested, and the stakeholders, the anglers there

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Speaker 5: have been really you know, happy to work with us,

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Speaker 5: and so we're able to share the data with them,

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Speaker 5: help sort of contribute to the knowledge about these fish.

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Speaker 5: And they clean these big alligator gars at one of

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Speaker 5: the bars along the Ameet River, and then people come

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Speaker 5: to the bar and they eat fried gar garballs, which

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Speaker 5: are gar hushpuppies, and so everybody kind of has a

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Speaker 5: good time, you know, eating these fish and kind of

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Speaker 5: taking part in the value of these native species.

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Speaker 2: Describe the taste for me. I think a lot of

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Speaker 2: gar that people harvest end up in a ditch somewhere.

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Speaker 2: They throw them in their garden and write it off

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Speaker 2: as fertilized. But what did it taste like?

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Speaker 5: Yeah, you know, the tricky part is we need tin

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Speaker 5: snips to get through that tough, armored hide. And so

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Speaker 5: once you get through those tin snips, you got some

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Speaker 5: you know, two nice you know, backstraps of meat there.

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Speaker 5: And you know, I would say it tastes somewhere in

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Speaker 5: between fish and chicken. So it's not as you know,

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Speaker 5: sort of doesn't come apart as easily as salmon does.

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Speaker 5: Maybe not as tough as chicken might be. But you

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Speaker 5: can eat it a bunch of different ways. I've had

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Speaker 5: gar smoked, I've had an impanadas, I've had it fried.

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Speaker 5: A lot of different ways to eat gar, And I'd

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Speaker 5: encourage people to try it. If they do harvest a guard.

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Speaker 4: Guard like they're visual right, like they're up rolling on

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Speaker 4: the surface even in that like froggy you know, oxygen

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Speaker 4: depleted zone that you try to like push through when

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Speaker 4: you're rowing. You're like, ah, nothing really lives here. So

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Speaker 4: they take up a really great space. They provide opportunity

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Speaker 4: where there's a lack of opportunity, and then from like

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Speaker 4: a fly fishing side of things, like they're really visual,

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Speaker 4: like you see them. Chances are if you get a

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Speaker 4: bait close to them, they're going to at least move

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Speaker 4: towards it. They're a really exciting fish.

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Speaker 6: Man.

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Speaker 4: It always bums me out when folks shoot them or

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Speaker 4: catch them and chuck them on the on the river

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Speaker 4: bank just just for no reason. Are they selective?

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Speaker 1: Though?

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Speaker 4: Like the excuse that I'll always hear for removing that

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Speaker 4: fish from a system is like, oh, they eat the

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Speaker 4: fish that I like to eat, right, are they are?

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Speaker 1: They?

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Speaker 4: Just like anything else, they have a preferred prey species

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Speaker 4: where they kind of general us.

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Speaker 5: Yeah, that's a great question. Cal they tend to be generalists.

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Speaker 5: They're predatory fish and they're opportunistic. So you know, studies

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Speaker 5: have been done on this on what gar eating. In fact,

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Speaker 5: that's the most research that's been done on gars is

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Speaker 5: what are they eating? Because people were concerned about their

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Speaker 5: game fish populations, and what they found is that gars

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Speaker 5: are eating whatever is most abundant in a particular area.

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Speaker 5: So sometimes it's gonna be forge fish like minnows and shad.

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Speaker 5: Sometimes it might be some triarcts like you know, sunfish.

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Speaker 5: But in preying on those fish, they help maintain balance

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Speaker 5: in those populations. And gars are pretty gape limited, so

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Speaker 5: they can only swallow their food whole, and so even

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Speaker 5: a four foot long long nose gar isn't going to

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Speaker 5: be able to take down, you know, a decent sized.

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Speaker 2: Bass or bluegill.

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Speaker 5: So they're really eating the smaller fish and that tends

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Speaker 5: to be the shad and the minnows. And I think

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Speaker 5: you bring up a good point about how you fish

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Speaker 5: for them. They are so adaptable that they can be

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Speaker 5: in rivers and streams and in these backwaters and in

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Speaker 5: water that's like chocolate milk. So you can fly fish

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Speaker 5: for them, you can you know, troll for them. I've

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Speaker 5: a fish for Florida gar on the Everglades. I've fished

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Speaker 5: for them in Texas with drones, and so they're an

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Speaker 5: exciting fish and like you said, you can fish for

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Speaker 5: them in places where maybe other fish aren't found as readily.

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Speaker 5: So down south you got boffin and gars everywhere you

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Speaker 5: may not have you know, you definitely don't have trout,

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Speaker 5: and so they kind of fill that niche there.

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Speaker 2: Solomon, I've heard you refer to gar as a gateway fish.

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Speaker 2: What does that exactly mean?

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Speaker 5: Yeah, you know, I think if you look at shows

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Speaker 5: like River Monsters that came out maybe almost twenty years ago, now,

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Speaker 5: that kind of opened the gate to these sort of bizarre,

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Speaker 5: sort of charismatic megafauna out of rivers, and alligator gars

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Speaker 5: are like that. If you look behind me, I've got

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Speaker 5: an alligator gar skull here from a seven foot ten

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Speaker 5: inch alligator gar that was about just over two hundred

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Speaker 5: pound and forty eight years old. So you got these

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Speaker 5: giant fish that people think are cool. They're very bizarre looking.

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Speaker 5: Maybe they think they look scary. They're not dangerous to humans,

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Speaker 5: but it serves as kind of this gateway to these

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Speaker 5: non game native species.

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Speaker 2: So maybe people learning a little bit.

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Speaker 5: More about freshwater bio diversity, or you know, what's that fish,

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Speaker 5: where does it live?

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Speaker 2: How does it get that big?

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Speaker 5: And that can maybe lead to people wanting to fish

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Speaker 5: for different types of species besides maybe traditional game fish,

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Speaker 5: and maybe a gateway to other species like different types

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Speaker 5: of buffalo or suckers or drum or boffin. So I

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Speaker 5: think Gar's work is a great sort of conservation gateway

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Speaker 5: fish to learn more about freshwater bio diversity.

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Speaker 1: Yeah.

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Speaker 2: I love the idea of that, because many fish that

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Speaker 2: resemble a carp just end up being a carp to

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Speaker 2: a lot of anglers. When there's small mouth buffalo and

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Speaker 2: big mouth buffalo, and there's short head red horse and

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Speaker 2: blue suckers and white suckers, and everyone could benefit from

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Speaker 2: learning a little bit more about those fish. In the

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Speaker 2: gateway fish, it's a gateway to It's a great way

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Speaker 2: to explain that. Now, the third annual gar Week is

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Speaker 2: coming up this fall. Tell us about what that is

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Speaker 2: in your role in the whole thing.

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Speaker 5: Yeah, you know, So Gar Week is coming. It's typically

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Speaker 5: in early November, but we're gonna be pushing it back,

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Speaker 5: so it'll either be late November or early December, but

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Speaker 5: gar Week twenty twenty four will happen.

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Speaker 2: It's kind of a.

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Speaker 5: Celebration of gar and native species, especially gar. What you

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Speaker 5: can see here is a picture that Spencer took at

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Speaker 5: the hatchery, which shows some kids touching a long nose gar.

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Speaker 5: So really that's kind of celebrating these kind of weird

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Speaker 5: ancient fish and kind of just sharing knowledge about gar

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Speaker 5: why they're important, you know, just some interesting facts, gar puns.

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Speaker 5: People have fun with it. We worked with Oklahoma Department

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Speaker 5: and Wildlife Conservation for the past couple of years and

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Speaker 5: they do a great job with their social media about

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Speaker 5: conservation and hunting and fishing, and so we'll be partnering

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Speaker 5: with a lot of different agencies this year. We look

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Speaker 5: forward to meet eater, maybe getting involved and just you

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Speaker 5: know what I like to say, spreading the word of

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Speaker 5: gar are and celebrating these ancient fish. One of the

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Speaker 5: pictures we're seeing here is I was recently out in

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Speaker 5: Maine talking to over three hundred elementary school kids about

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Speaker 5: gar and showing pictures of their long jaws, lots of tea,

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Speaker 5: them swimming with sharks, how slimy they are. And I

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Speaker 5: really think an important part of conservation and stewardship is

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Speaker 5: reaching that next generation because if we can get them

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Speaker 5: involved and interested in stewardship of our natural resources, that

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Speaker 5: will allow these hunting and fishing traditions to continue successfully.

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Speaker 2: You have my word, Solomon, we are going to help

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Speaker 2: spread the Gospel of gar This fall, we'll participate in

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Speaker 2: Gar Week. It's my third favorite holiday each fall after

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Speaker 2: Christmas and Thanksgiving. So I join you this week, Solomon.

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Speaker 2: Thank you for joining us. Fascinating stuff. You'll be back

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Speaker 2: on the show again soon. Thanks so much for having

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Speaker 2: me guys.

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Speaker 1: Thanks awesome.

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Speaker 2: All right, moving on, each week through the end of

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Speaker 2: the year, we'll be getting either a rot report from

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Speaker 2: Mark Kenyon or or a migration report from Matt McCormick.

403
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Speaker 2: This week we have a migration report. Take it away, Matt.

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Speaker 6: Would you like to hear the drop for Spencer?

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Speaker 2: Oh yeah, yeah, take it away, Phil, And then maybe

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Speaker 2: Matt we can play his video when you can sun

407
00:20:15,040 --> 00:20:20,120
Speaker 2: food and the Tam Sassoon. Then you suffer a right

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Speaker 2: Chrishan is the West.

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Speaker 4: Phil tries to keep a stone, just his poker face,

410
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Speaker 4: going unduring that.

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Speaker 1: What a treat.

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Speaker 2: I recently suggested to Phil we needed a new drop

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Speaker 2: for something. I was like, here, I think this is

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00:20:38,440 --> 00:20:40,480
Speaker 2: an easy solution for this one, so you don't have

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Speaker 2: to be in the studio singing, and he's like, no,

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Speaker 2: I would like to do that. That's that's more fun

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Speaker 2: to me.

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Speaker 1: So don't suggest to Phil how he should do with drop.

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Speaker 2: Listen, I was I was trying to make it easier

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Speaker 2: on him.

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Speaker 1: Many people have fallen into that trap.

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Speaker 2: Uh huh, Well done, Phil, Another great drop. Now let's

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Speaker 2: hear this migration report from Matt.

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Speaker 7: I'm Matt McCormick, Flying V, and welcome to Meat Eater's

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Speaker 7: migration Report for October seventeenth, twenty twenty four. I'm coming

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Speaker 7: to you live from the Kaiser Ranch here in Montana's

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Speaker 7: Pacific Flyway, and with a full moon overhead in the

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Speaker 7: first cold front of the season, we're all feeling that

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Speaker 7: migration fever. So let's jump in into the latest waterfowl action,

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Speaker 7: weather updates, and what's ahead in the coming weeks. Starting

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Speaker 7: here in the Pacific Flyway, that first cold front it's arrived.

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Speaker 7: It's right here on the horizon.

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Speaker 1: We picked up a few birds.

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Speaker 7: Maybe you can see him behind us on the front end,

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Speaker 7: and we're expecting more to follow. Although conditions are still

436
00:21:35,240 --> 00:21:39,800
Speaker 7: dry east of the Cascades. This front should help everybody out.

437
00:21:40,359 --> 00:21:43,679
Speaker 7: Duck productions is strong and here at Flying V we

438
00:21:43,720 --> 00:21:47,119
Speaker 7: are expecting a banner year this year. Over in the

439
00:21:47,160 --> 00:21:49,600
Speaker 7: Central Flyway, things are kind of shaping up over there.

440
00:21:50,000 --> 00:21:53,440
Speaker 7: This front will drive some birds down from Saskatchewan into

441
00:21:53,440 --> 00:21:57,119
Speaker 7: the Dakotas, and we're all about to see some really

442
00:21:57,160 --> 00:21:59,640
Speaker 7: big migration days coming through the Central Flyway.

443
00:22:00,440 --> 00:22:01,920
Speaker 1: Where they'll end up, I mean.

444
00:22:01,960 --> 00:22:06,240
Speaker 7: Who knows, but I think all hunters throughout the flyways

445
00:22:06,280 --> 00:22:09,200
Speaker 7: should keep their eyes on the north winds. Things are

446
00:22:09,200 --> 00:22:11,639
Speaker 7: looking pretty prime over the next few weeks. In the

447
00:22:11,680 --> 00:22:15,320
Speaker 7: Mississippi Flyway, brace your guys' selves for impact, because you

448
00:22:15,359 --> 00:22:17,440
Speaker 7: have new birds coming in all your calendar.

449
00:22:17,480 --> 00:22:18,360
Speaker 1: Birds are on the move.

450
00:22:18,920 --> 00:22:22,520
Speaker 7: We have reports from Manitoba and Ontario that birds are

451
00:22:22,600 --> 00:22:25,080
Speaker 7: moving south and it's shaping up to be a killer

452
00:22:25,119 --> 00:22:27,040
Speaker 7: few weeks for anyone in the north country.

453
00:22:27,080 --> 00:22:28,560
Speaker 1: The Mississippi Flyway.

454
00:22:29,200 --> 00:22:32,320
Speaker 7: Central southern regions. You guys will start seeing some fresh

455
00:22:32,359 --> 00:22:34,560
Speaker 7: birds here soon, So you got a little bit of time.

456
00:22:34,600 --> 00:22:36,280
Speaker 7: If you don't have your water dialed or your gear

457
00:22:36,359 --> 00:22:40,600
Speaker 7: dialed yet, now's the time. Finally, in the Atlantic Flyway,

458
00:22:41,040 --> 00:22:43,760
Speaker 7: duck numbers are building. It's slow, but that kind of is.

459
00:22:43,680 --> 00:22:44,480
Speaker 1: Always the case.

460
00:22:44,920 --> 00:22:48,800
Speaker 7: Recent rains, cooler temperatures, those will be a big help

461
00:22:48,840 --> 00:22:52,080
Speaker 7: for all you eastern shoremen. But things should start picking

462
00:22:52,200 --> 00:22:54,280
Speaker 7: up here as the bird's head south over the next

463
00:22:54,280 --> 00:22:58,879
Speaker 7: few weeks. That wraps up this week's migration report. Whether

464
00:22:58,960 --> 00:23:01,920
Speaker 7: you're in the Pacific Way chasing cacklers or you're playing

465
00:23:01,920 --> 00:23:04,560
Speaker 7: a road trip to North Dakota, these cold fronts and

466
00:23:04,680 --> 00:23:06,960
Speaker 7: north winds are set in the stage for some epic

467
00:23:07,320 --> 00:23:11,440
Speaker 7: hunts across the country. Stay tuned from our updates and.

468
00:23:11,359 --> 00:23:12,280
Speaker 1: Good luck out there.

469
00:23:12,640 --> 00:23:16,840
Speaker 2: Back to you, Spencer, Matt is feeling optimistic.

470
00:23:16,880 --> 00:23:21,080
Speaker 4: Cow is that a great excited? We're gonna get that

471
00:23:21,119 --> 00:23:22,480
Speaker 4: guy green screen behind.

472
00:23:22,320 --> 00:23:26,560
Speaker 2: Him, you know, like looking at the beautiful mountains of

473
00:23:26,680 --> 00:23:28,840
Speaker 2: Montana and the prairies of oh I.

474
00:23:28,760 --> 00:23:32,760
Speaker 4: Think, but you know, let's let's get serious. Let's get

475
00:23:32,800 --> 00:23:34,760
Speaker 4: him like the little arrows and the staff where you

476
00:23:34,840 --> 00:23:36,960
Speaker 4: can point you like now this high pressure system.

477
00:23:37,080 --> 00:23:39,760
Speaker 1: Yeah, give him a live oppler radar.

478
00:23:40,000 --> 00:23:42,520
Speaker 2: Yeah yeah, we can really test Phil. Then, Phil, how

479
00:23:42,560 --> 00:23:43,200
Speaker 2: do you feel about?

480
00:23:43,280 --> 00:23:43,520
Speaker 8: Uh?

481
00:23:43,560 --> 00:23:44,600
Speaker 2: How do you feel about all that?

482
00:23:45,160 --> 00:23:48,480
Speaker 6: I'm willing to try anything, Okay, at least once.

483
00:23:49,080 --> 00:23:53,040
Speaker 2: Now, our next segment is one minute fishing. Do I

484
00:23:53,119 --> 00:23:53,800
Speaker 2: feel lucky?

485
00:23:54,840 --> 00:23:59,720
Speaker 1: We'll do you Punk, go ahead, make my cast.

486
00:24:01,440 --> 00:24:04,040
Speaker 2: One minute Fishing is where we go live to someone

487
00:24:04,080 --> 00:24:06,919
Speaker 2: who's fishing, and they have one minute to catch a fish,

488
00:24:07,119 --> 00:24:09,639
Speaker 2: and if they're successful, we'll make a five hundred dollars

489
00:24:09,640 --> 00:24:13,280
Speaker 2: donation to a conservation group. This week, our angler is

490
00:24:13,359 --> 00:24:17,240
Speaker 2: the senior director of post Production, Hillary Byrne, who's on

491
00:24:17,359 --> 00:24:20,240
Speaker 2: the pond behind our office, and she's fishing for a

492
00:24:20,280 --> 00:24:23,720
Speaker 2: donation to Captains for Clean Water. Hillary. Welcome to the show.

493
00:24:24,600 --> 00:24:24,719
Speaker 9: Hi.

494
00:24:24,840 --> 00:24:28,560
Speaker 2: Everyone, tell us about the rod in your hands and

495
00:24:28,600 --> 00:24:29,800
Speaker 2: what lu were you throwing today?

496
00:24:31,440 --> 00:24:34,520
Speaker 8: Well, I stole this from Seth's office this morning, so

497
00:24:34,600 --> 00:24:39,280
Speaker 8: he can tell you about it. Uh, the spinning rods

498
00:24:39,560 --> 00:24:41,920
Speaker 8: are more successful out here. So I left the fly

499
00:24:42,080 --> 00:24:44,720
Speaker 8: rod in the truck and we're gonna give Seth set

500
00:24:44,800 --> 00:24:45,320
Speaker 8: up a try.

501
00:24:45,440 --> 00:24:48,280
Speaker 2: Okay, Seth, you tell us about what Hillary's using there

502
00:24:48,320 --> 00:24:50,119
Speaker 2: to catch one of these office pond trout.

503
00:24:50,320 --> 00:24:51,240
Speaker 1: Oh you know it's the.

504
00:24:53,480 --> 00:24:59,160
Speaker 3: You know, the famous MEPs I believe on there, number four.

505
00:24:59,359 --> 00:25:02,440
Speaker 3: I think, mm hmm yeah, what color are.

506
00:25:02,359 --> 00:25:05,159
Speaker 1: You going off? It's the it's like the yellow with

507
00:25:05,280 --> 00:25:09,000
Speaker 1: the red dots. Oh yeah, oh well that's Panther Martin right.

508
00:25:09,040 --> 00:25:10,240
Speaker 1: Oh yeah, Panther Martin's.

509
00:25:11,359 --> 00:25:14,640
Speaker 2: And Hillary is not kidding this office or this fishing rod.

510
00:25:14,760 --> 00:25:17,920
Speaker 2: Just sits in the corner of Seth's office every day.

511
00:25:17,960 --> 00:25:18,120
Speaker 1: Now.

512
00:25:18,680 --> 00:25:22,520
Speaker 2: Hillary is an experienced fly angler, but doesn't have as

513
00:25:22,640 --> 00:25:25,400
Speaker 2: much experience with the fishing rods. So Seth was doing

514
00:25:25,440 --> 00:25:27,640
Speaker 2: some coaching out there before. How did that go, Seth?

515
00:25:27,680 --> 00:25:28,840
Speaker 2: You feel good about this?

516
00:25:29,160 --> 00:25:30,240
Speaker 1: Yeah?

517
00:25:30,560 --> 00:25:33,280
Speaker 3: You know, at first things were kind of hung up

518
00:25:33,320 --> 00:25:35,880
Speaker 3: in the brush a little bit. Took a little bit

519
00:25:35,920 --> 00:25:38,520
Speaker 3: to kind of get the getting swing of things. But no,

520
00:25:38,760 --> 00:25:41,600
Speaker 3: she's doing great now, and I'd imagine she's going to

521
00:25:41,680 --> 00:25:45,040
Speaker 3: catch a fish here, right, Hillary, let's hope.

522
00:25:45,040 --> 00:25:48,840
Speaker 2: So we have yet to have a successful angler at

523
00:25:48,840 --> 00:25:51,760
Speaker 2: the meat eater pond for one minute fishing. Hillary, we

524
00:25:51,840 --> 00:25:55,160
Speaker 2: hope you are the first. Your one minute fishing starts

525
00:25:55,320 --> 00:25:57,119
Speaker 2: as soon as you take your first cast.

526
00:25:57,160 --> 00:25:59,640
Speaker 4: Go ahead, here we go.

527
00:26:06,320 --> 00:26:07,400
Speaker 2: What do you see in their cow?

528
00:26:09,800 --> 00:26:11,800
Speaker 4: I'm more into the music choice here.

529
00:26:13,240 --> 00:26:15,400
Speaker 1: I'm very moody. I'll tell you a little bit about

530
00:26:15,400 --> 00:26:19,560
Speaker 1: that pond. There's a lot of leaf litter on the surface.

531
00:26:19,240 --> 00:26:21,120
Speaker 2: A lot that showed up in the last few days.

532
00:26:21,160 --> 00:26:25,080
Speaker 3: Yeah, which makes it tough, you know, get your cats

533
00:26:25,080 --> 00:26:27,520
Speaker 3: in one minute because you oftentimes got to clean off

534
00:26:27,560 --> 00:26:28,000
Speaker 3: some leaves.

535
00:26:28,000 --> 00:26:29,600
Speaker 1: Shure, he's waiting for another cast.

536
00:26:30,240 --> 00:26:32,000
Speaker 2: Hillary, You are twenty five seconds in.

537
00:26:33,840 --> 00:26:36,439
Speaker 4: I want a big old bass Master classic hook's up.

538
00:26:36,960 --> 00:26:40,399
Speaker 2: Yeah, that would be good. Good conditions today, right, Seth?

539
00:26:40,640 --> 00:26:45,879
Speaker 3: Yeah, cloudy cold, like Matt was saying on the duct report,

540
00:26:46,160 --> 00:26:47,720
Speaker 3: cold front moved in last night.

541
00:26:47,880 --> 00:26:49,919
Speaker 4: Oh he may have had a cast into the grass.

542
00:26:50,240 --> 00:26:53,680
Speaker 2: Oh it's okay, nobody noticed. Hillary, you have fifteen seconds.

543
00:27:00,119 --> 00:27:03,960
Speaker 2: I don't think it's happening today. Sorry, Hillary, Thank you

544
00:27:04,000 --> 00:27:08,159
Speaker 2: for joining us, though I would blame Seth for you

545
00:27:08,280 --> 00:27:09,280
Speaker 2: not catching one there.

546
00:27:09,480 --> 00:27:12,960
Speaker 3: You know, I think after fishing this pond for about

547
00:27:12,960 --> 00:27:16,919
Speaker 3: a year, I think when it gets hot, the fish

548
00:27:17,160 --> 00:27:20,240
Speaker 3: stack in there because it's deeper, deeper water. But once

549
00:27:20,400 --> 00:27:22,719
Speaker 3: things cool down a bit in the fall and in

550
00:27:22,760 --> 00:27:26,320
Speaker 3: the spring, they move up in the creek. Okay, that's

551
00:27:26,480 --> 00:27:27,760
Speaker 3: you know, filling that pond.

552
00:27:28,160 --> 00:27:32,000
Speaker 2: It's a diverse body of water. You're still figuring it out. Hillary,

553
00:27:32,000 --> 00:27:34,080
Speaker 2: Are you gonna keep fishing? Are you going back to work?

554
00:27:34,560 --> 00:27:34,720
Speaker 9: Yeah?

555
00:27:34,760 --> 00:27:37,600
Speaker 8: I'm gonna go try the spot that's apparently actually good.

556
00:27:37,640 --> 00:27:39,000
Speaker 8: But we had to be here because.

557
00:27:38,760 --> 00:27:39,280
Speaker 10: Of the Wi Fi.

558
00:27:39,440 --> 00:27:41,360
Speaker 8: So that's why I didn't catch any fish there.

559
00:27:41,400 --> 00:27:45,199
Speaker 2: You go made an executive decision when we were testing

560
00:27:45,200 --> 00:27:48,000
Speaker 2: out the signal. He said, you guys were too far away.

561
00:27:47,840 --> 00:27:51,000
Speaker 6: From the I sabotage. I mean, I'm sure the viewing

562
00:27:51,040 --> 00:27:53,240
Speaker 6: audience can tell. We've got a little Wi Fi and

563
00:27:53,359 --> 00:27:55,679
Speaker 6: self one single dead zone right where we like to

564
00:27:55,720 --> 00:27:57,639
Speaker 6: shoot all of our one minute fishing segments. So we

565
00:27:57,640 --> 00:27:59,680
Speaker 6: should invest in an extender of some kind.

566
00:28:00,119 --> 00:28:05,719
Speaker 2: Phil Horizon, all right, Hillary, thank you for joining us.

567
00:28:05,960 --> 00:28:07,159
Speaker 2: Good luck at the better spot.

568
00:28:08,119 --> 00:28:08,520
Speaker 1: Thank you.

569
00:28:09,440 --> 00:28:12,720
Speaker 2: All right, let's take a break for some listener feedback. Phil,

570
00:28:12,800 --> 00:28:14,240
Speaker 2: what's the chat have to say today?

571
00:28:14,320 --> 00:28:16,600
Speaker 6: You know what the chat's The chat's very active, but

572
00:28:16,680 --> 00:28:18,720
Speaker 6: not asking a lot of questions. So in the next

573
00:28:18,840 --> 00:28:22,000
Speaker 6: two minutes asks if you have a specific question for Seth,

574
00:28:22,119 --> 00:28:25,040
Speaker 6: Cal Spencer or Hey Crins in here too. You wouldn't

575
00:28:25,040 --> 00:28:27,280
Speaker 6: know that or Phil you could ask for Phil. Yeah, sure,

576
00:28:27,280 --> 00:28:30,920
Speaker 6: but we got a couple uh you know, Mogren, I

577
00:28:30,960 --> 00:28:32,440
Speaker 6: think you told me how to pronounce your name a

578
00:28:32,480 --> 00:28:35,520
Speaker 6: couple of weeks ago phonetically, and that actually made it

579
00:28:35,560 --> 00:28:38,560
Speaker 6: more confusing, so I apologize. But he asked Cal and trivia.

580
00:28:39,000 --> 00:28:40,880
Speaker 6: You mentioned that your dad can make two things along

581
00:28:40,960 --> 00:28:42,600
Speaker 6: was his own recipe of Shepherd's pie, but you didn't

582
00:28:42,600 --> 00:28:44,640
Speaker 6: mention what the other dish was that he could make.

583
00:28:44,520 --> 00:28:45,720
Speaker 2: And I guess he's just curious.

584
00:28:45,800 --> 00:28:45,880
Speaker 11: Ye.

585
00:28:46,280 --> 00:28:48,640
Speaker 2: Well, I feel like a classic Dad recipe would be

586
00:28:48,800 --> 00:28:53,480
Speaker 2: like either a hamburger or chili. Uh maybe like a goulash.

587
00:28:53,600 --> 00:28:56,600
Speaker 2: Since that's like similar, I'm gonna go with a chili spaghetti.

588
00:28:56,800 --> 00:29:02,000
Speaker 2: Spaghetti's top five mm hm spaghetti. So what what was

589
00:29:02,040 --> 00:29:04,200
Speaker 2: he better at? Shepherd's Pie or spaghetti?

590
00:29:05,960 --> 00:29:07,280
Speaker 1: I mean both both good?

591
00:29:07,400 --> 00:29:09,000
Speaker 4: I mean, like I said, you know, like both of

592
00:29:09,000 --> 00:29:14,479
Speaker 4: those things are are like like coming home recipes right here,

593
00:29:14,640 --> 00:29:18,120
Speaker 4: like instant mashed potatoes, whatever frozen vegetables you got in there,

594
00:29:18,160 --> 00:29:19,120
Speaker 4: and some ground beef.

595
00:29:20,040 --> 00:29:24,120
Speaker 1: I'm still I love Shepherd's Pie shepherd spaghetti.

596
00:29:25,800 --> 00:29:28,920
Speaker 6: All right, this is a general question best hunt of

597
00:29:28,920 --> 00:29:31,200
Speaker 6: the year so far for you folks. It's almost November,

598
00:29:31,600 --> 00:29:33,320
Speaker 6: it's getting there, but I know a lot of you

599
00:29:33,360 --> 00:29:36,080
Speaker 6: guys have gotten outside smotion some things.

600
00:29:36,760 --> 00:29:38,920
Speaker 3: I'll start by saying, last weekend, my wife and I

601
00:29:38,960 --> 00:29:41,040
Speaker 3: both killed our biggest antelope to date.

602
00:29:42,320 --> 00:29:43,360
Speaker 1: So nice.

603
00:29:43,680 --> 00:29:45,800
Speaker 2: Hell Yeah, yeah, that was fun in Montana.

604
00:29:46,560 --> 00:29:47,280
Speaker 1: In Montana.

605
00:29:47,360 --> 00:29:50,400
Speaker 3: Yeah, and uh we actually found a couple of stone

606
00:29:50,440 --> 00:29:51,960
Speaker 3: points too, which was kind of cool.

607
00:29:52,520 --> 00:29:55,480
Speaker 2: Cool Ye darn right, Yeah, that's a good hunt.

608
00:29:55,520 --> 00:29:58,560
Speaker 4: It was a good weekend where exactly where you at

609
00:29:58,960 --> 00:30:04,440
Speaker 4: over over there in mont Hannah. Oh yeah, nice. I

610
00:30:04,600 --> 00:30:08,400
Speaker 4: ran out with Snort right before I left for Louisiana

611
00:30:08,960 --> 00:30:11,280
Speaker 4: and we had a great little bird walk we had

612
00:30:11,600 --> 00:30:13,840
Speaker 4: were fitting it. In between I actually had to take

613
00:30:15,640 --> 00:30:21,680
Speaker 4: two meetings in the field. Snort was not happy about that.

614
00:30:21,880 --> 00:30:25,240
Speaker 4: Then we did a bird loop and picked up four

615
00:30:25,560 --> 00:30:30,640
Speaker 4: Hungarian partridge and yeah, Snort's just crushing it. At four

616
00:30:30,760 --> 00:30:33,720
Speaker 4: years old, she's got a little bit more chill about

617
00:30:33,760 --> 00:30:34,320
Speaker 4: certain things.

618
00:30:34,720 --> 00:30:36,520
Speaker 2: You think she's entering her prime now.

619
00:30:38,600 --> 00:30:40,720
Speaker 1: Yeah, for sure, for sure.

620
00:30:40,880 --> 00:30:43,880
Speaker 4: I mean I we missed the pheasant opener, so I'm

621
00:30:43,880 --> 00:30:46,480
Speaker 4: gonna try to make up for lost time here this weekend.

622
00:30:48,440 --> 00:30:51,480
Speaker 4: But yeah, and then hauled butt back here to the

623
00:30:51,520 --> 00:30:55,000
Speaker 4: office for another meeting. So it was a good one.

624
00:30:55,040 --> 00:30:57,800
Speaker 3: I got to share some pins with you because I

625
00:30:57,840 --> 00:31:00,280
Speaker 3: saw so many sharpies and hunts this past Oh you

626
00:31:00,320 --> 00:31:00,800
Speaker 3: did good.

627
00:31:00,960 --> 00:31:01,440
Speaker 1: Yeah, I hear.

628
00:31:01,560 --> 00:31:06,000
Speaker 4: The sharp tail report is. You know, they're down in

629
00:31:06,000 --> 00:31:09,160
Speaker 4: the areas where when it's really good you see sharp tails.

630
00:31:09,520 --> 00:31:12,400
Speaker 4: So they're they're kind of more in the core sharp

631
00:31:12,480 --> 00:31:14,520
Speaker 4: tail zones, but still doing good in those areas.

632
00:31:14,560 --> 00:31:16,400
Speaker 1: Oh yeah, where I was, they were everywhere.

633
00:31:16,480 --> 00:31:19,160
Speaker 4: Hungarian partridges are thick this year.

634
00:31:19,280 --> 00:31:21,240
Speaker 2: Yeah, my favorite hunt of the year was I bought

635
00:31:21,280 --> 00:31:23,200
Speaker 2: a white tail tag. You know, I know this year's state.

636
00:31:23,240 --> 00:31:26,040
Speaker 2: I've never haunted their season for this tag I had

637
00:31:26,080 --> 00:31:28,800
Speaker 2: opened on October seventh. I went over there, excuse me,

638
00:31:28,840 --> 00:31:31,680
Speaker 2: on October tenth. I arrived on October seventh so I

639
00:31:31,680 --> 00:31:35,600
Speaker 2: could scout, and I killed a buck on October twelfth.

640
00:31:35,720 --> 00:31:38,360
Speaker 2: I was a mountain mature white tail that I was

641
00:31:38,400 --> 00:31:39,320
Speaker 2: real stoked about.

642
00:31:40,280 --> 00:31:41,480
Speaker 1: Saw that one that was sweet?

643
00:31:41,680 --> 00:31:47,040
Speaker 4: Yeah, good, Look did you have a good scouting or no?

644
00:31:47,480 --> 00:31:48,280
Speaker 1: I had.

645
00:31:48,760 --> 00:31:52,000
Speaker 2: The most productive scouting I had was just like seeing

646
00:31:52,040 --> 00:31:55,360
Speaker 2: the country because again I never like never hunted in Idaho.

647
00:31:55,880 --> 00:31:57,800
Speaker 2: I didn't see a lot of deer scouting. I did

648
00:31:57,840 --> 00:32:01,280
Speaker 2: a lot of doorkna door knocking, which isn't how I

649
00:32:01,360 --> 00:32:04,640
Speaker 2: killed my buck, but it gave me options, which was important.

650
00:32:05,000 --> 00:32:07,440
Speaker 2: And this was my first whitetail that I've killed in

651
00:32:07,440 --> 00:32:09,280
Speaker 2: the Pacific time zone. So now I want to start

652
00:32:09,280 --> 00:32:12,120
Speaker 2: a new group that's called the white Tail time Zone Slam.

653
00:32:12,400 --> 00:32:17,480
Speaker 2: You'll kill one in Pacific, Central, Eastern, and Mountain time

654
00:32:17,520 --> 00:32:19,120
Speaker 2: and I've now done that. And if I want to

655
00:32:19,160 --> 00:32:21,920
Speaker 2: go for the white Tail time Zone super Slam, then

656
00:32:21,960 --> 00:32:23,760
Speaker 2: I need to kill one in the Atlantic time zone,

657
00:32:23,760 --> 00:32:26,360
Speaker 2: which I could only accomplish in Canada. So sometime in

658
00:32:26,400 --> 00:32:28,000
Speaker 2: the future I'm going to do that. But I'm starting

659
00:32:28,000 --> 00:32:30,400
Speaker 2: a new club. If you want to join me, should

660
00:32:30,440 --> 00:32:32,760
Speaker 2: a message on Instagram at the White Tail time Zone

661
00:32:32,800 --> 00:32:33,680
Speaker 2: Slam what about?

662
00:32:34,360 --> 00:32:34,560
Speaker 5: Yeah?

663
00:32:34,560 --> 00:32:37,320
Speaker 4: I mean you could accomplish two time zones in a

664
00:32:37,400 --> 00:32:40,960
Speaker 4: day in certain areas pretty easy.

665
00:32:41,040 --> 00:32:41,240
Speaker 12: Yep.

666
00:32:41,320 --> 00:32:44,680
Speaker 2: Well, I've now done Pacific and if you wanted to

667
00:32:44,680 --> 00:32:48,080
Speaker 2: like have a super duper Slam, you could go to Arizona,

668
00:32:48,200 --> 00:32:50,080
Speaker 2: who is still a part of I think the Mountain

669
00:32:50,120 --> 00:32:52,880
Speaker 2: time zone. But they do weird with daylight savings time where.

670
00:32:52,680 --> 00:32:53,720
Speaker 1: They don't respect it.

671
00:32:54,480 --> 00:32:57,240
Speaker 2: Yeah, they don't respect daylight savings time. So if you

672
00:32:57,280 --> 00:32:58,920
Speaker 2: want to do a super duper Slam, maybe you go

673
00:32:59,000 --> 00:32:59,800
Speaker 2: kill a coups.

674
00:32:59,560 --> 00:33:02,560
Speaker 13: Deer down there the super duper Slam, then you cover

675
00:33:02,600 --> 00:33:03,880
Speaker 13: it off the shoe board stuff.

676
00:33:04,360 --> 00:33:06,880
Speaker 6: All right, a couple more here. We've gotten this question

677
00:33:06,960 --> 00:33:10,160
Speaker 6: multiple times, but Andrew's asking, Hey, Spencer, have you ever

678
00:33:10,200 --> 00:33:11,640
Speaker 6: caught a gar on the Jim River?

679
00:33:11,720 --> 00:33:16,960
Speaker 2: Oh? Yes, The Jim River flowed about ten miles away

680
00:33:16,960 --> 00:33:19,080
Speaker 2: from where I grew off. The first boat I ever

681
00:33:19,120 --> 00:33:22,760
Speaker 2: bought was a four hundred dollars fourteen and a half

682
00:33:22,760 --> 00:33:25,720
Speaker 2: foot tiller boat, and that was bought so I could

683
00:33:25,760 --> 00:33:28,080
Speaker 2: fish on the Jim River. So I caught mini gar.

684
00:33:28,280 --> 00:33:30,520
Speaker 2: I'd have to be targeting catfish there and you'd get

685
00:33:30,520 --> 00:33:33,960
Speaker 2: these little light bites. And that was a classic situation

686
00:33:34,080 --> 00:33:35,920
Speaker 2: of where a gar was about to rob your bait.

687
00:33:36,400 --> 00:33:38,640
Speaker 1: Oh nice, nice, Yeah.

688
00:33:38,640 --> 00:33:41,160
Speaker 6: And then Cal, I threw this picture up when Solomon

689
00:33:41,200 --> 00:33:44,200
Speaker 6: was on the line. But here's your here's your gar

690
00:33:44,600 --> 00:33:46,520
Speaker 6: and fire on the bay. He is asking how long

691
00:33:46,560 --> 00:33:47,360
Speaker 6: did you fight it for?

692
00:33:47,920 --> 00:33:50,280
Speaker 4: Yeah, I'll throw I got I did get a good

693
00:33:50,400 --> 00:33:53,479
Speaker 4: video because we actually had to rope that thing with

694
00:33:53,560 --> 00:33:58,480
Speaker 4: one of the bowel lines to get it in classic

695
00:33:58,560 --> 00:34:00,360
Speaker 4: This happens to me all the time when fish. We

696
00:34:00,440 --> 00:34:02,560
Speaker 4: just don't have a net big enough for the fish.

697
00:34:02,600 --> 00:34:06,400
Speaker 4: I can't, so you know, we're pretty good at getting

698
00:34:06,400 --> 00:34:10,080
Speaker 4: crafty out. There was somewhere in the neighborhood at twenty minutes,

699
00:34:10,120 --> 00:34:11,600
Speaker 4: not as long as you as you'd think.

700
00:34:12,520 --> 00:34:12,719
Speaker 1: Cal.

701
00:34:12,920 --> 00:34:14,400
Speaker 6: I'm sorry, I think I think I messed up. I

702
00:34:14,400 --> 00:34:16,520
Speaker 6: think I accidentally cut your audio off there. Do you

703
00:34:16,560 --> 00:34:19,279
Speaker 6: want to just restart that that question? I was trying

704
00:34:19,280 --> 00:34:22,319
Speaker 6: to give the picture its own solo stage, and I

705
00:34:22,400 --> 00:34:26,080
Speaker 6: removed our audio from from the show apologies, So yeah,

706
00:34:26,080 --> 00:34:27,040
Speaker 6: you want to say that again.

707
00:34:27,239 --> 00:34:33,080
Speaker 2: Pill is operator over the Yeah, jus.

708
00:34:32,520 --> 00:34:34,279
Speaker 4: Not as long as you as you think. I think

709
00:34:34,280 --> 00:34:36,359
Speaker 4: about about twenty minutes. We didn't have a net big

710
00:34:36,480 --> 00:34:38,520
Speaker 4: enough for the fish, which is a common thing when

711
00:34:38,560 --> 00:34:42,719
Speaker 4: I'm fishing, and we had to rope it with one

712
00:34:42,719 --> 00:34:46,640
Speaker 4: of the bowel lines on the boat. So super super,

713
00:34:46,680 --> 00:34:51,719
Speaker 4: super fun, really cool seeing that thing. I thought it

714
00:34:51,719 --> 00:34:54,839
Speaker 4: was a big black drum, So when it finally came

715
00:34:54,920 --> 00:34:59,759
Speaker 4: up to the surface, I was amazed, right because, yeah,

716
00:35:00,080 --> 00:35:03,120
Speaker 4: there's no way nine times out of ten you're not

717
00:35:03,320 --> 00:35:05,799
Speaker 4: gonna keep that thing on the line because of the

718
00:35:05,880 --> 00:35:09,800
Speaker 4: teeth and the how a brace of the scales are

719
00:35:09,960 --> 00:35:10,640
Speaker 4: on that thing.

720
00:35:10,800 --> 00:35:11,879
Speaker 1: So another snap the.

721
00:35:11,840 --> 00:35:14,040
Speaker 2: Line, another treat for a YouTube audience. You'd get to

722
00:35:14,080 --> 00:35:17,000
Speaker 2: see that guard that Count was just talking about there.

723
00:35:17,200 --> 00:35:20,879
Speaker 4: Phil, Yeah, I noticed that there was a Phil question

724
00:35:20,960 --> 00:35:22,240
Speaker 4: there that you didn't want to answer.

725
00:35:22,880 --> 00:35:24,680
Speaker 1: Oh, well we'll get We've got another round at the

726
00:35:24,760 --> 00:35:26,839
Speaker 1: end of the show. Okay, yeah, because we all want

727
00:35:26,840 --> 00:35:29,440
Speaker 1: to know too. Edge of your seat.

728
00:35:29,640 --> 00:35:33,520
Speaker 2: Moving on. Our next segment is meat poll.

729
00:35:33,560 --> 00:35:34,320
Speaker 1: Say it's showy.

730
00:35:34,440 --> 00:35:39,200
Speaker 6: A meat ball is a take Welcome to me, eat Rady,

731
00:35:39,760 --> 00:35:41,160
Speaker 6: I got a game something.

732
00:35:44,960 --> 00:35:47,440
Speaker 1: But we should put all these like on an album

733
00:35:47,760 --> 00:35:48,480
Speaker 1: and sell it.

734
00:35:48,880 --> 00:35:49,480
Speaker 2: There we go.

735
00:35:49,680 --> 00:35:51,919
Speaker 6: Yeah, I'll stand out in Times Square trying to say hey, hey,

736
00:35:52,120 --> 00:36:00,600
Speaker 6: check us out. Trivia drops no addresses, Mario.

737
00:35:57,280 --> 00:35:57,360
Speaker 11: H.

738
00:36:00,080 --> 00:36:05,040
Speaker 2: Uh uncle Phil Cracker over there with another creeps. Wonderful job.

739
00:36:05,560 --> 00:36:07,800
Speaker 2: All right, meet Pole is a test of how much

740
00:36:07,920 --> 00:36:11,040
Speaker 2: you know about your fellow hunters and anglers. I surveyed

741
00:36:11,120 --> 00:36:14,960
Speaker 2: five hundred meat Eater listeners about personal preferences and personal

742
00:36:15,000 --> 00:36:18,520
Speaker 2: experiences in the outdoors. Your job is to predict their answers.

743
00:36:18,560 --> 00:36:21,600
Speaker 2: Now there are three questions. Whoever is the closest to

744
00:36:21,680 --> 00:36:25,120
Speaker 2: the correct answer between Cal and Seth gets a point.

745
00:36:25,360 --> 00:36:28,000
Speaker 2: The first person to two points will be the winner

746
00:36:28,160 --> 00:36:30,279
Speaker 2: in the chat. You should play along too if you

747
00:36:30,320 --> 00:36:33,040
Speaker 2: get it, like within one point of the correct answer.

748
00:36:33,080 --> 00:36:35,040
Speaker 2: Phil's gonna shout you out at the end. He's gonna

749
00:36:35,080 --> 00:36:38,160
Speaker 2: he's gonna watch who who has the right Well, Krin

750
00:36:38,239 --> 00:36:40,719
Speaker 2: is gonna watch as well. Uh, they're all gonna watch.

751
00:36:40,760 --> 00:36:43,440
Speaker 2: So put your answers in the chat. But this is

752
00:36:43,480 --> 00:36:44,920
Speaker 2: a game between Cal.

753
00:36:44,880 --> 00:36:48,000
Speaker 4: So you can't look at the chat. Seth, I'm not

754
00:36:48,000 --> 00:36:48,720
Speaker 4: gonna either.

755
00:36:48,680 --> 00:36:50,960
Speaker 2: Well, I mean it's not like the chat knows the answer,

756
00:36:51,120 --> 00:36:52,560
Speaker 2: but they're just maybe informing you.

757
00:36:52,840 --> 00:36:53,919
Speaker 4: Yeah, right, all right.

758
00:36:54,320 --> 00:36:59,000
Speaker 2: Question one. This question was for dog owners only. What

759
00:36:59,239 --> 00:37:02,880
Speaker 2: percentage of meat eater listeners said their dog sleeps in

760
00:37:02,960 --> 00:37:07,840
Speaker 2: bed with them at night? What percentage? And go to

761
00:37:07,880 --> 00:37:11,680
Speaker 2: a decimal place for us? What percentage of meat eater

762
00:37:11,760 --> 00:37:14,279
Speaker 2: listeners said their dog sleeps in bed with them at night?

763
00:37:15,040 --> 00:37:17,879
Speaker 2: Cal dog owner? Where does your dog sleep at night?

764
00:37:18,480 --> 00:37:18,920
Speaker 1: In bed?

765
00:37:19,800 --> 00:37:20,480
Speaker 2: Your bed?

766
00:37:20,880 --> 00:37:21,320
Speaker 1: Yeah?

767
00:37:21,360 --> 00:37:23,799
Speaker 2: Seth dog owner? Where does your dog sleep at night

768
00:37:24,239 --> 00:37:25,759
Speaker 2: in bed? How about the cat?

769
00:37:26,239 --> 00:37:29,560
Speaker 1: Oh, the cat's in a different room, buddy.

770
00:37:28,880 --> 00:37:34,520
Speaker 2: Apparently Karen two, double dog owner? Where do they sleep

771
00:37:34,560 --> 00:37:34,919
Speaker 2: at night?

772
00:37:35,560 --> 00:37:37,960
Speaker 14: Not in the bed, not in bed, on the floor,

773
00:37:38,000 --> 00:37:40,000
Speaker 14: on their beds if.

774
00:37:39,920 --> 00:37:44,160
Speaker 1: You're if you wasn't so damn big, I.

775
00:37:44,120 --> 00:37:47,360
Speaker 14: Mean like sometimes squid will get up on the couch.

776
00:37:47,400 --> 00:37:49,280
Speaker 14: But yeah, my dog is like one hundred and twenty

777
00:37:49,320 --> 00:37:50,440
Speaker 14: five pounds.

778
00:37:50,880 --> 00:37:52,719
Speaker 2: And then the other dog weighs as much as that

779
00:37:52,800 --> 00:37:56,960
Speaker 2: dog's leg. Yes, yeah, well also a double dog owner,

780
00:37:57,000 --> 00:37:57,440
Speaker 2: is that right?

781
00:37:57,760 --> 00:37:58,359
Speaker 1: Yeah, that's true?

782
00:37:58,400 --> 00:37:59,600
Speaker 2: Where do your dog sleep at night?

783
00:38:00,239 --> 00:38:04,200
Speaker 6: And Blueberry of the Fruits Mango sleeps with my oldest

784
00:38:04,239 --> 00:38:07,440
Speaker 6: son in his room he's she's a little Australian kelpie,

785
00:38:07,480 --> 00:38:10,840
Speaker 6: black slick, full of piss and vinegar and blueberry, sleeps

786
00:38:10,840 --> 00:38:12,600
Speaker 6: in our room on the floor. He is a large.

787
00:38:12,719 --> 00:38:14,759
Speaker 3: Okay, God, this makes me want to change my answer.

788
00:38:14,760 --> 00:38:17,520
Speaker 2: All right, So Seth and Cal, you have your answers

789
00:38:17,520 --> 00:38:21,399
Speaker 2: for again, what percentage of meat eater listeners said their

790
00:38:21,440 --> 00:38:22,560
Speaker 2: dog sleeps in bed with.

791
00:38:22,520 --> 00:38:23,000
Speaker 1: Them at night?

792
00:38:23,840 --> 00:38:26,400
Speaker 2: Go ahead and reveal your answers. We have Cal saying

793
00:38:26,640 --> 00:38:30,840
Speaker 2: thirty three point six percent, and we have Seth saying

794
00:38:31,080 --> 00:38:35,239
Speaker 2: sixty seven point eight percent. Koren, who's playing along for fun,

795
00:38:35,680 --> 00:38:37,080
Speaker 2: says forty percent.

796
00:38:37,400 --> 00:38:40,520
Speaker 6: Oh yeah, we had a last minute entry just now

797
00:38:40,520 --> 00:38:42,440
Speaker 6: that I think is the closest one from the chat.

798
00:38:42,600 --> 00:38:46,000
Speaker 2: Okay, so what was your answer against Seth sixty seven

799
00:38:46,000 --> 00:38:50,880
Speaker 2: point eight The correct answer is forty eight point six,

800
00:38:51,160 --> 00:38:55,279
Speaker 2: meaning Cal gets that point. He was fifteen points off.

801
00:38:55,600 --> 00:38:59,120
Speaker 2: About half of the listeners said that their dog sleeps

802
00:38:59,120 --> 00:38:59,680
Speaker 2: in bed with him.

803
00:39:00,200 --> 00:39:03,840
Speaker 6: You guys, unless I'm mistaken, Brian Bradford got the closest.

804
00:39:03,840 --> 00:39:05,560
Speaker 1: There were dozens of ANTISI.

805
00:39:05,719 --> 00:39:08,520
Speaker 2: Well done, one point five percentage points off of the

806
00:39:08,520 --> 00:39:09,160
Speaker 2: correct answer.

807
00:39:09,400 --> 00:39:10,000
Speaker 1: Right now.

808
00:39:10,000 --> 00:39:13,520
Speaker 2: A recent study from Total Vet showed that seventy six

809
00:39:13,560 --> 00:39:16,800
Speaker 2: percent of American dog owners allow their dog to sleep

810
00:39:16,840 --> 00:39:20,040
Speaker 2: in bed with them. Wow, so outdoorsmen or meat eater

811
00:39:20,080 --> 00:39:23,360
Speaker 2: listeners specifically or less than that. The number one reason

812
00:39:23,440 --> 00:39:25,680
Speaker 2: people don't allow their dog to sleep in bed with

813
00:39:25,719 --> 00:39:29,280
Speaker 2: them is because of cleanliness, followed by concerns about fleas

814
00:39:29,480 --> 00:39:32,320
Speaker 2: and because the dog moves too much. That same study

815
00:39:32,360 --> 00:39:36,200
Speaker 2: found that thirty three percent of married dog owners said

816
00:39:36,239 --> 00:39:38,719
Speaker 2: they sleep better next to their dog then they do

817
00:39:38,800 --> 00:39:39,520
Speaker 2: their spouse.

818
00:39:40,280 --> 00:39:42,320
Speaker 4: If I gave my dog flea, she won't matter, she

819
00:39:42,360 --> 00:39:42,879
Speaker 4: wudn't mind.

820
00:39:43,600 --> 00:39:46,840
Speaker 1: I don't get it. Sometimes like straight up mud in

821
00:39:46,880 --> 00:39:49,879
Speaker 1: our bed. Yeah, exactly, you just get over that real quick.

822
00:39:50,080 --> 00:39:53,400
Speaker 2: Xeth. You sleep better next to Wiley or next to Kelsey.

823
00:39:54,040 --> 00:39:54,880
Speaker 1: Uh?

824
00:39:55,160 --> 00:39:57,919
Speaker 3: Probably Kelsey because Wiley likes to She likes to get

825
00:39:57,960 --> 00:40:04,080
Speaker 3: real close. Oh Kelsey, like we're going to sleep.

826
00:40:04,200 --> 00:40:08,840
Speaker 2: Uh huh okay that the dog on, he's got others.

827
00:40:08,480 --> 00:40:10,680
Speaker 3: And often oftentimes why he likes to sneak up and

828
00:40:10,719 --> 00:40:12,719
Speaker 3: like you'll wake up and her head's like on your

829
00:40:12,719 --> 00:40:13,640
Speaker 3: pillow with you.

830
00:40:13,960 --> 00:40:17,000
Speaker 1: Oh, or she's like at your she just all over

831
00:40:17,040 --> 00:40:20,279
Speaker 1: the place. When I first started, my labs were outside

832
00:40:22,480 --> 00:40:22,839
Speaker 1: of the year.

833
00:40:23,120 --> 00:40:24,960
Speaker 2: Then he loved them and they were.

834
00:40:25,719 --> 00:40:28,200
Speaker 4: I do think like, if you're interested in having like

835
00:40:29,080 --> 00:40:35,719
Speaker 4: very cold, weather resistant and water resistant labradors sleep, having

836
00:40:35,760 --> 00:40:38,399
Speaker 4: them sleep. They can be inside with you and hanging out,

837
00:40:38,520 --> 00:40:40,040
Speaker 4: but when it's time to go to bed, they go

838
00:40:40,080 --> 00:40:41,440
Speaker 4: outside into the candle.

839
00:40:41,480 --> 00:40:42,200
Speaker 1: That's the way to do it.

840
00:40:42,280 --> 00:40:45,360
Speaker 2: Yeah, not under the covers though. No question two, and

841
00:40:45,360 --> 00:40:48,880
Speaker 2: again we have con with one point, Seth with zero.

842
00:40:48,960 --> 00:40:51,040
Speaker 2: We need cow to get this right. Could be the

843
00:40:51,120 --> 00:40:53,520
Speaker 2: game to win or Seth gets it right, We'll go

844
00:40:53,520 --> 00:40:57,640
Speaker 2: to question three. What percentage of meat Eater listeners think

845
00:40:57,680 --> 00:41:00,320
Speaker 2: they could beat a mountain lion in a bare hand

846
00:41:00,000 --> 00:41:05,680
Speaker 2: and fight to the death. What percentage of meat Eater

847
00:41:05,719 --> 00:41:08,000
Speaker 2: listeners think they could beat a mountain lion and a

848
00:41:08,040 --> 00:41:11,160
Speaker 2: bare handed fight to the death. Again, I pulled five

849
00:41:11,280 --> 00:41:14,560
Speaker 2: hundred people from our audience to get this answer.

850
00:41:14,680 --> 00:41:18,560
Speaker 4: I mean, your life is on the line, so you

851
00:41:19,200 --> 00:41:20,120
Speaker 4: better think you can win.

852
00:41:20,280 --> 00:41:24,080
Speaker 2: Uh huh okay. Cal has yet to write down an answer, though.

853
00:41:24,120 --> 00:41:26,640
Speaker 2: What percentage of meat Eater listeners think they could beat

854
00:41:26,640 --> 00:41:28,879
Speaker 2: a mountain lion and a bare handed fight to the death.

855
00:41:29,320 --> 00:41:32,120
Speaker 2: If you'll recall we used to do this as a

856
00:41:32,160 --> 00:41:34,600
Speaker 2: different show on med Eater Trivia, but when we talked

857
00:41:34,600 --> 00:41:36,919
Speaker 2: about doing med Eater Radio. I thought I would peel

858
00:41:36,960 --> 00:41:39,160
Speaker 2: that off from there and make it a segment in

859
00:41:39,280 --> 00:41:41,959
Speaker 2: med Eater Radio. I think it fits better over here.

860
00:41:42,000 --> 00:41:44,360
Speaker 2: So you're not gonna hear some media or trivia anymore.

861
00:41:44,400 --> 00:41:47,920
Speaker 2: Meat pole is going to be for meat Eater Radio.

862
00:41:47,680 --> 00:41:50,200
Speaker 6: Without revealing anything. Someone in the chat got it right

863
00:41:50,280 --> 00:41:53,520
Speaker 6: on the money down to the desk, okay.

864
00:41:53,320 --> 00:41:54,680
Speaker 2: And I see Seth watching.

865
00:41:55,000 --> 00:41:56,800
Speaker 1: Yes, I've seeing.

866
00:41:56,600 --> 00:42:01,520
Speaker 14: Some And you guys have too much of an ego

867
00:42:01,600 --> 00:42:02,279
Speaker 14: if you're in the set.

868
00:42:03,440 --> 00:42:04,520
Speaker 1: Oh yeah, unbelievable.

869
00:42:04,560 --> 00:42:07,400
Speaker 2: Are you boys ready to reveal your answer? Go ahead

870
00:42:07,440 --> 00:42:10,919
Speaker 2: and reveal your answers. We have Cal saying fifty four

871
00:42:11,200 --> 00:42:14,200
Speaker 2: point four percent of mediated listeners think they could beat

872
00:42:14,239 --> 00:42:16,520
Speaker 2: a mountain lion in a bare handed fight to the death.

873
00:42:16,960 --> 00:42:20,640
Speaker 2: And we have Seth saying twenty six point three.

874
00:42:20,640 --> 00:42:21,439
Speaker 4: What's that game show?

875
00:42:21,480 --> 00:42:22,919
Speaker 1: Phil? Show me fifty four?

876
00:42:25,280 --> 00:42:28,400
Speaker 2: Oh okay, which everyone from the crew strongly dislikes.

877
00:42:28,880 --> 00:42:29,640
Speaker 1: Not me, Spencer.

878
00:42:30,760 --> 00:42:35,440
Speaker 2: The correct answer is twenty one point five. Seth was

879
00:42:35,640 --> 00:42:39,480
Speaker 2: just five percentage points away from the correct answer.

880
00:42:39,560 --> 00:42:42,560
Speaker 6: The alternate universe, Colin Farrell chimed in, oh, not the

881
00:42:42,640 --> 00:42:44,920
Speaker 6: meat eater. He's also a handsome chat, but he gets

882
00:42:45,000 --> 00:42:45,919
Speaker 6: twenty one point five.

883
00:42:46,280 --> 00:42:49,200
Speaker 2: Colin Ferrell, well done right on the nose.

884
00:42:49,560 --> 00:42:49,719
Speaker 9: Now.

885
00:42:49,800 --> 00:42:52,759
Speaker 2: I asked this same question at the Boise Live show

886
00:42:52,800 --> 00:42:56,080
Speaker 2: in April, and thirty four percent of that audience said

887
00:42:56,160 --> 00:42:58,759
Speaker 2: they believed they could beat a mountain lion and a

888
00:42:58,840 --> 00:43:02,480
Speaker 2: bare handed fight to the death. So people from Idaho

889
00:43:02,640 --> 00:43:05,120
Speaker 2: are more likely to think they could win that battle

890
00:43:05,200 --> 00:43:09,080
Speaker 2: than just our general med eater audience. You believe that

891
00:43:09,200 --> 00:43:11,120
Speaker 2: cans that seem right based on what you know about

892
00:43:11,200 --> 00:43:11,960
Speaker 2: folks from Idaho.

893
00:43:12,360 --> 00:43:14,080
Speaker 1: I mean, there's a lot of cat hunters in Idaho,

894
00:43:14,640 --> 00:43:15,680
Speaker 1: so yeah, maybe.

895
00:43:16,239 --> 00:43:19,360
Speaker 2: Now, according to the Mountain Lion Foundation, fifteen percent of

896
00:43:19,440 --> 00:43:22,799
Speaker 2: mountain lion attacks are fatal, but I doubt the other

897
00:43:23,040 --> 00:43:25,840
Speaker 2: you know, eighty five percent end with the mountain lion dying,

898
00:43:26,000 --> 00:43:27,560
Speaker 2: So I guess we'll never know.

899
00:43:27,680 --> 00:43:28,799
Speaker 1: I was going to say fatal for.

900
00:43:28,840 --> 00:43:32,960
Speaker 2: Who All Right, here is question three. Whoever's closest between

901
00:43:33,040 --> 00:43:36,160
Speaker 2: Seth and cow will be the winner? What percentage of

902
00:43:36,320 --> 00:43:40,680
Speaker 2: meat eater listeners think Seth is a better angler than Chester.

903
00:43:42,880 --> 00:43:46,320
Speaker 2: Five hundred people from our audience answered this question. What

904
00:43:46,560 --> 00:43:49,759
Speaker 2: percentage of media trying to break up a marriage? I

905
00:43:50,080 --> 00:43:53,520
Speaker 2: think Seth is a better angler than Chester. I mean, hey,

906
00:43:53,600 --> 00:43:57,160
Speaker 2: this is a company who's had a turkey calling contests online,

907
00:43:57,400 --> 00:44:00,960
Speaker 2: so I think we were it's fair game to ask

908
00:44:01,040 --> 00:44:02,400
Speaker 2: this question, Seth, who do you think?

909
00:44:02,440 --> 00:44:05,319
Speaker 3: I think most people think Chester is better? You think so, well,

910
00:44:05,480 --> 00:44:08,359
Speaker 3: he's just he's just kind of talking about it more.

911
00:44:09,480 --> 00:44:12,040
Speaker 4: Okay, who're talking about being better than you?

912
00:44:12,320 --> 00:44:12,520
Speaker 1: Yeah?

913
00:44:12,960 --> 00:44:13,960
Speaker 2: Who do you think is better?

914
00:44:15,600 --> 00:44:16,759
Speaker 1: That's an unfair question?

915
00:44:16,880 --> 00:44:20,040
Speaker 2: Could we could go species specific? How about Walleye? Who's

916
00:44:20,080 --> 00:44:22,040
Speaker 2: a better angler? Whileye oh god, you have to go

917
00:44:22,120 --> 00:44:25,000
Speaker 2: with that. Why couldn't you ask just like musky or something,

918
00:44:25,080 --> 00:44:26,040
Speaker 2: who's better at musky?

919
00:44:26,200 --> 00:44:26,439
Speaker 1: Chester?

920
00:44:26,560 --> 00:44:27,480
Speaker 2: Who's better at trout?

921
00:44:28,040 --> 00:44:28,320
Speaker 1: Chester?

922
00:44:28,440 --> 00:44:29,400
Speaker 2: Who's better at pass?

923
00:44:30,880 --> 00:44:31,160
Speaker 1: Seth?

924
00:44:31,520 --> 00:44:33,279
Speaker 2: Catfish? Oh?

925
00:44:33,480 --> 00:44:35,279
Speaker 1: Man, I don't know.

926
00:44:35,960 --> 00:44:40,200
Speaker 2: Okay, we're both we both have our strengths and weaknesses. Okay,

927
00:44:40,239 --> 00:44:43,080
Speaker 2: all right, So again the question is what percentage of

928
00:44:43,239 --> 00:44:47,720
Speaker 2: meat eater listeners think Seth is a better angler than Chester?

929
00:44:50,040 --> 00:44:50,239
Speaker 1: Seth?

930
00:44:50,280 --> 00:44:50,799
Speaker 2: Are you ready?

931
00:44:51,200 --> 00:44:51,359
Speaker 1: Cal?

932
00:44:51,440 --> 00:44:54,879
Speaker 2: Are you ready reveal your answers? We have Cal saying

933
00:44:55,440 --> 00:45:00,520
Speaker 2: forty two point one and Seth saying forty zero point

934
00:45:00,640 --> 00:45:03,760
Speaker 2: one percent. Wow, you guys are both in the ballpark.

935
00:45:03,800 --> 00:45:07,000
Speaker 2: I'll tell you that one of you is one percentage

936
00:45:07,040 --> 00:45:11,759
Speaker 2: point off of the correct answer. The correct answer is

937
00:45:11,880 --> 00:45:16,080
Speaker 2: forty three point one percent, making cal our winner, and

938
00:45:16,960 --> 00:45:23,600
Speaker 2: Don Saltz says, salt say forty two point two well done. Down,

939
00:45:23,719 --> 00:45:27,320
Speaker 2: So forty three percent of people think Seth is a

940
00:45:27,400 --> 00:45:28,880
Speaker 2: better angler than chesters.

941
00:45:28,960 --> 00:45:33,200
Speaker 4: I got one hundred percent uh radio live game win

942
00:45:33,320 --> 00:45:34,120
Speaker 4: streak going here.

943
00:45:34,360 --> 00:45:37,040
Speaker 2: Oh you won the field trivia and now me pull

944
00:45:37,160 --> 00:45:40,239
Speaker 2: you found a home field now, as we learned from

945
00:45:40,280 --> 00:45:42,880
Speaker 2: a previous episode im mediate or Trivia, my polling of

946
00:45:42,960 --> 00:45:45,799
Speaker 2: our audience found that forty two percent of anglers think

947
00:45:45,840 --> 00:45:49,120
Speaker 2: they're a better angler than the average angler, which is

948
00:45:49,719 --> 00:45:51,719
Speaker 2: kind of off because I think it's like sixty percent

949
00:45:51,760 --> 00:45:54,880
Speaker 2: of Americans think they're smarter than the average American, but

950
00:45:55,000 --> 00:45:57,520
Speaker 2: only forty percent of anglers think they're a better angler

951
00:45:57,920 --> 00:45:58,920
Speaker 2: than the average angler.

952
00:45:59,040 --> 00:46:01,480
Speaker 1: I think that I think I'm better than the average angler.

953
00:46:01,520 --> 00:46:03,520
Speaker 2: Oh yeah, Chester is the average angler.

954
00:46:04,400 --> 00:46:07,680
Speaker 1: I think that it should be. I mean, yeah, humbling,

955
00:46:08,520 --> 00:46:10,239
Speaker 1: Well you want I mean no, I mean you want

956
00:46:10,280 --> 00:46:11,880
Speaker 1: to have what you do?

957
00:46:12,880 --> 00:46:13,080
Speaker 4: Yeah?

958
00:46:13,680 --> 00:46:16,840
Speaker 2: Well done, Cal as the winner there of our first

959
00:46:17,400 --> 00:46:19,480
Speaker 2: meat poll in media to radio.

960
00:46:19,440 --> 00:46:20,759
Speaker 1: I got a lot of people to thank.

961
00:46:20,920 --> 00:46:27,040
Speaker 2: So now our next segment is from Chester Floyd. This

962
00:46:27,520 --> 00:46:30,200
Speaker 2: is chettiqitt c t t qu e t.

963
00:46:30,280 --> 00:46:33,279
Speaker 6: T E find out bud means to me c g

964
00:46:33,400 --> 00:46:35,759
Speaker 6: t q you e t t E take care of

965
00:46:36,040 --> 00:46:36,600
Speaker 6: a GT.

966
00:46:41,040 --> 00:46:44,560
Speaker 2: This week, Chester is answering a listener's question about duck

967
00:46:44,640 --> 00:46:45,799
Speaker 2: hunting on public land.

968
00:46:46,840 --> 00:46:50,080
Speaker 15: Hello everybody, my name's Chester Floyd, and I'm coming at

969
00:46:50,120 --> 00:46:54,239
Speaker 15: you from yet another beautiful campfire in Wisconsin. We got

970
00:46:54,280 --> 00:46:57,920
Speaker 15: a real ripper going tonight and uh. Anyways, this week's

971
00:46:58,040 --> 00:47:03,520
Speaker 15: chettiqit question comes to us from Ben ben Wrights, dear

972
00:47:03,640 --> 00:47:07,640
Speaker 15: meat eater crewe. Opening morning of Southern Zone duck season

973
00:47:07,760 --> 00:47:11,320
Speaker 15: in Wisconsin, my buddy and I ran into a situation

974
00:47:12,000 --> 00:47:16,040
Speaker 15: that got us thinking about public land hunting etiquette. We

975
00:47:16,280 --> 00:47:20,439
Speaker 15: arrived at a pond around three am, where another hunter

976
00:47:20,680 --> 00:47:23,520
Speaker 15: was waiting in the parking lot for his buddies but

977
00:47:23,719 --> 00:47:27,840
Speaker 15: hadn't set up yet. We politely discuss where we'd be hunting,

978
00:47:28,080 --> 00:47:31,319
Speaker 15: but he claimed we'd be too close, even though we'd

979
00:47:31,360 --> 00:47:35,440
Speaker 15: be three hundred to four hundred yards apart. To avoid conflict,

980
00:47:35,880 --> 00:47:39,280
Speaker 15: we moved to a different spot. His buddies didn't arrive

981
00:47:39,440 --> 00:47:43,320
Speaker 15: until much later, and we started wondering the sitting in

982
00:47:43,400 --> 00:47:46,840
Speaker 15: the parking lot reserve your spot, or should we have

983
00:47:47,040 --> 00:47:50,719
Speaker 15: just gone to our original location since we were all

984
00:47:50,800 --> 00:47:51,640
Speaker 15: ready to set up.

985
00:47:52,560 --> 00:47:55,759
Speaker 9: We'd love to hear your thoughts well, Ben, I do

986
00:47:56,000 --> 00:48:05,319
Speaker 9: have some thoughts for you, sitting.

987
00:48:05,080 --> 00:48:07,800
Speaker 11: In the parking lot trying to claim the spot and

988
00:48:07,960 --> 00:48:10,640
Speaker 11: open in the morning and trying to shoot it duck,

989
00:48:11,160 --> 00:48:14,759
Speaker 11: waiting on your buddies from the night before, the lad

990
00:48:14,960 --> 00:48:17,080
Speaker 11: hung over and feeling sore.

991
00:48:17,320 --> 00:48:18,080
Speaker 15: It ain't right.

992
00:48:20,760 --> 00:48:21,880
Speaker 1: It ain't right.

993
00:48:23,560 --> 00:48:27,120
Speaker 10: If you don't claim your spot. You can't do it

994
00:48:27,239 --> 00:48:33,880
Speaker 10: from the parking lot and being nice. I love anyways,

995
00:48:35,760 --> 00:48:38,840
Speaker 10: you like that little song. I think you did the

996
00:48:38,960 --> 00:48:41,960
Speaker 10: right thing of talking to that guy in the parking lot,

997
00:48:42,040 --> 00:48:44,680
Speaker 10: and I think you did the right thing on moving

998
00:48:44,760 --> 00:48:45,600
Speaker 10: to another spot.

999
00:48:46,040 --> 00:48:49,440
Speaker 15: However, the fella, I think you might have called it

1000
00:48:49,960 --> 00:48:53,360
Speaker 15: in the email the parking lot cowboy or something like that,

1001
00:48:54,000 --> 00:48:56,120
Speaker 15: just waiting there for his buddies not set up.

1002
00:48:56,800 --> 00:48:58,400
Speaker 9: I don't think that's the right way to do it.

1003
00:48:58,600 --> 00:48:59,440
Speaker 9: To hold your spot.

1004
00:48:59,880 --> 00:49:02,040
Speaker 15: I think you need to be where you're going to

1005
00:49:02,080 --> 00:49:06,759
Speaker 15: be hunting, and that's that's my opinion. You need to

1006
00:49:06,800 --> 00:49:09,640
Speaker 15: be set up and then you can claim your spot.

1007
00:49:11,640 --> 00:49:13,200
Speaker 2: A phenomenal Chetti quit.

1008
00:49:13,719 --> 00:49:17,800
Speaker 6: Phenomenal check chet does the actual musician ship work around

1009
00:49:17,800 --> 00:49:18,240
Speaker 6: the office.

1010
00:49:18,280 --> 00:49:20,560
Speaker 1: I just I'm a I'm a joker. I'm a jester.

1011
00:49:21,560 --> 00:49:24,239
Speaker 1: It got weird Atlas, so.

1012
00:49:25,000 --> 00:49:27,200
Speaker 2: I told Chetty made a mistake. But I started doing

1013
00:49:27,280 --> 00:49:30,600
Speaker 2: these like singing with his guitar, because now he's got

1014
00:49:30,680 --> 00:49:33,360
Speaker 2: to do them all that way. It's too good to

1015
00:49:33,440 --> 00:49:37,000
Speaker 2: do a chettiquitt with anything but music. You boys have

1016
00:49:37,040 --> 00:49:42,480
Speaker 2: any input on on how that situation should have been handled, I.

1017
00:49:42,520 --> 00:49:46,600
Speaker 4: Think doing the parking lot, I would hope ripped his

1018
00:49:46,760 --> 00:49:49,600
Speaker 4: buddies a new one when they showed up, like being

1019
00:49:49,719 --> 00:49:52,400
Speaker 4: late like that. Yeah yeah, I mean if I'm the

1020
00:49:52,480 --> 00:49:57,440
Speaker 4: guy in the parking lot, I'd be like, gang, you,

1021
00:49:58,080 --> 00:50:00,279
Speaker 4: thanks for telling me where you're gonna set up. I'll

1022
00:50:00,320 --> 00:50:05,160
Speaker 4: adjust around you. Yep, yeah, I mean he's not there.

1023
00:50:06,040 --> 00:50:07,920
Speaker 2: I agree. I think you and you and Chester had

1024
00:50:07,960 --> 00:50:09,239
Speaker 2: the right take seth anything to.

1025
00:50:09,239 --> 00:50:12,120
Speaker 3: Add, no, I agree one hundred percent. You can't hold

1026
00:50:12,160 --> 00:50:15,160
Speaker 3: a spot like that by just sitting in the parking lot.

1027
00:50:15,800 --> 00:50:20,520
Speaker 4: Right because it's like, okay, well, is being on the

1028
00:50:20,640 --> 00:50:23,200
Speaker 4: road to the location good enough to hold it?

1029
00:50:23,400 --> 00:50:26,200
Speaker 2: Uh huh? I mean, come on, dude, Yeah yeah, Chester's

1030
00:50:26,239 --> 00:50:27,920
Speaker 2: gonna write a song about you if you try to

1031
00:50:27,920 --> 00:50:31,160
Speaker 2: pull that move again, parking lot cowboy all right. Joining

1032
00:50:31,280 --> 00:50:34,080
Speaker 2: us on the line next is Danielle Pruett, who has

1033
00:50:34,120 --> 00:50:36,839
Speaker 2: a new cookbook out right now called Wild and Whole.

1034
00:50:37,560 --> 00:50:40,359
Speaker 2: Yeah Book, It is beautiful. Danielle is going to talk

1035
00:50:40,440 --> 00:50:43,120
Speaker 2: to us about the proper way to brown ground meat,

1036
00:50:43,440 --> 00:50:46,920
Speaker 2: a simple step that many at home chefs mess up. Danielle,

1037
00:50:46,960 --> 00:50:51,920
Speaker 2: Welcome to the show. Hello, doing good. Danielle is standing

1038
00:50:52,040 --> 00:50:55,320
Speaker 2: in her kitchen right now, Danielle, Browning meat is a

1039
00:50:55,400 --> 00:50:58,560
Speaker 2: skill that every person should have. With that said, when

1040
00:50:58,640 --> 00:51:00,719
Speaker 2: someone has told the brown ground meat, what do you

1041
00:51:00,800 --> 00:51:01,759
Speaker 2: normally see happen?

1042
00:51:03,239 --> 00:51:03,399
Speaker 14: Oh?

1043
00:51:03,480 --> 00:51:04,080
Speaker 9: They gray it?

1044
00:51:05,680 --> 00:51:08,120
Speaker 2: Okay, they gray it? What does that mean exactly?

1045
00:51:08,920 --> 00:51:13,360
Speaker 12: Well, browning meat, I mean is like the term is

1046
00:51:13,520 --> 00:51:16,239
Speaker 12: coined because you're looking for a brown color in the meat,

1047
00:51:16,360 --> 00:51:19,719
Speaker 12: but the whole purpose is to infuse flavor in the meat.

1048
00:51:20,120 --> 00:51:23,960
Speaker 12: So pretty much every recipe, especially like a braised dish

1049
00:51:24,200 --> 00:51:27,840
Speaker 12: or a stew, you start by browning the meat first.

1050
00:51:28,160 --> 00:51:31,440
Speaker 12: It's not really there because you're trying to cook the

1051
00:51:31,520 --> 00:51:35,000
Speaker 12: meat through. You're just taking that step to make the

1052
00:51:35,160 --> 00:51:41,440
Speaker 12: meat as a flavorful, needy, savory as possible. So when

1053
00:51:41,480 --> 00:51:45,319
Speaker 12: you kind of like glance over that step, that's when

1054
00:51:45,400 --> 00:51:48,240
Speaker 12: your recipe comes out tasting like really.

1055
00:51:49,840 --> 00:51:54,239
Speaker 4: Dull or just like lack luster, and no one the

1056
00:51:54,360 --> 00:51:59,720
Speaker 4: kids say mid these days Danielle Brown whenever.

1057
00:52:01,680 --> 00:52:04,600
Speaker 2: Okay, I think our connection dropped there for a second.

1058
00:52:04,680 --> 00:52:08,680
Speaker 2: Danielle walk us through step by step the process leading

1059
00:52:08,800 --> 00:52:10,279
Speaker 2: up to putting that meat in a pan.

1060
00:52:11,400 --> 00:52:13,920
Speaker 12: Yeah, So, as you can see, I got this plate

1061
00:52:14,080 --> 00:52:16,279
Speaker 12: that looks like it's just meat is just flattened out

1062
00:52:16,280 --> 00:52:19,799
Speaker 12: on a plate. This is actually ground by north Bridge

1063
00:52:19,840 --> 00:52:22,800
Speaker 12: or Bison. But I chose this because it came in

1064
00:52:22,960 --> 00:52:25,640
Speaker 12: like one of those plastic bags, you know, and when

1065
00:52:25,680 --> 00:52:30,360
Speaker 12: you defrosted juices everywhere, all that liquid makes it difficult

1066
00:52:30,440 --> 00:52:32,440
Speaker 12: to brown meat. So the first thing I do after

1067
00:52:32,520 --> 00:52:35,000
Speaker 12: defrosting is put it on a plate, and I've pat

1068
00:52:35,080 --> 00:52:38,439
Speaker 12: it really really dry first. So that's like the first

1069
00:52:38,480 --> 00:52:41,320
Speaker 12: step is don't just like dump a wet bag of

1070
00:52:41,440 --> 00:52:44,840
Speaker 12: meat into the pan or else it's gonna steam it,

1071
00:52:45,160 --> 00:52:47,560
Speaker 12: and that's when you get kind of that grayish looking meat.

1072
00:52:48,120 --> 00:52:50,520
Speaker 12: So really, the way I like to think about this

1073
00:52:51,800 --> 00:52:56,000
Speaker 12: is to imagine like you're making a giant smash burger.

1074
00:52:56,320 --> 00:52:58,520
Speaker 12: Is kind of the easiest way to play it.

1075
00:52:58,680 --> 00:53:01,680
Speaker 2: Okay, So I'm making a soup.

1076
00:53:01,880 --> 00:53:04,359
Speaker 12: This is from IM. Let my pan get hot here.

1077
00:53:05,440 --> 00:53:09,719
Speaker 12: This is my cookbook, and this is the recipe I'm doing.

1078
00:53:10,280 --> 00:53:13,879
Speaker 12: It's just like a really simple, like weak night meal

1079
00:53:14,040 --> 00:53:17,200
Speaker 12: soup with ground venison in it. So I'm making it

1080
00:53:17,320 --> 00:53:21,120
Speaker 12: in this Dutch oven. It's a stove. It's an enameled

1081
00:53:21,239 --> 00:53:24,120
Speaker 12: cast iron, so it retains its heat really well. So

1082
00:53:24,200 --> 00:53:26,520
Speaker 12: you want to get your pan really hot, and then

1083
00:53:26,560 --> 00:53:30,440
Speaker 12: you're gonna add some sort of fat or oil, use

1084
00:53:30,520 --> 00:53:32,879
Speaker 12: something that has a high smoke point because you want

1085
00:53:32,960 --> 00:53:36,319
Speaker 12: the pan really hot. I'm using beef tallow. I think

1086
00:53:36,560 --> 00:53:43,120
Speaker 12: tallow is a great great when cooking venison. But you

1087
00:53:43,160 --> 00:53:45,560
Speaker 12: can use like avacat of oil, greate seed oil, or

1088
00:53:45,640 --> 00:53:49,200
Speaker 12: canola oil. Those are all high smog points. And the

1089
00:53:49,280 --> 00:53:51,919
Speaker 12: reason why I like tallow is also because it has

1090
00:53:52,000 --> 00:53:55,600
Speaker 12: like a meteor flavor that I think just just taste good.

1091
00:53:56,120 --> 00:53:58,840
Speaker 2: We can hear that pan getting hot right now, Danielle.

1092
00:53:59,040 --> 00:54:00,520
Speaker 2: Are we at medium high heat?

1093
00:54:00,600 --> 00:54:01,120
Speaker 1: Medium heat?

1094
00:54:01,120 --> 00:54:04,200
Speaker 2: What are we doing on the stive? This is pretty good.

1095
00:54:04,239 --> 00:54:05,319
Speaker 12: This is like on high heat.

1096
00:54:05,680 --> 00:54:06,840
Speaker 2: Okay, high heat.

1097
00:54:07,520 --> 00:54:09,920
Speaker 12: Down, but you want to get it pretty hot, and

1098
00:54:09,960 --> 00:54:12,279
Speaker 12: I'll move the I'm by myself and hume, so I'll

1099
00:54:12,320 --> 00:54:14,319
Speaker 12: have to. I'm on a tripod, So once I get

1100
00:54:14,360 --> 00:54:16,279
Speaker 12: this in, I'll show you what's going on in the pan.

1101
00:54:17,080 --> 00:54:17,920
Speaker 9: But the pan is like.

1102
00:54:20,280 --> 00:54:22,799
Speaker 5: And then I take or whatever.

1103
00:54:24,280 --> 00:54:26,440
Speaker 12: And I literally just like lay it in there like

1104
00:54:26,600 --> 00:54:28,520
Speaker 12: I'm making a big smesh burger.

1105
00:54:28,800 --> 00:54:31,680
Speaker 2: That that is exactly what that looks like. She is

1106
00:54:31,800 --> 00:54:39,839
Speaker 2: now adding the ground meat to the pan. All right,

1107
00:54:39,920 --> 00:54:42,160
Speaker 2: Danielle is showing us the inside of the skillet. Now,

1108
00:54:42,200 --> 00:54:44,319
Speaker 2: were you just going to be doing this in batches here?

1109
00:54:45,760 --> 00:54:48,479
Speaker 16: Yeah, you don't want to put it all in at once,

1110
00:54:49,239 --> 00:54:52,239
Speaker 16: make it a little thicker, but I like to work.

1111
00:54:55,120 --> 00:54:55,480
Speaker 1: It's like.

1112
00:54:57,000 --> 00:54:59,400
Speaker 12: That place allows moisture.

1113
00:55:00,840 --> 00:55:08,560
Speaker 6: Yeah, really really quick, guys. The steam, the set the

1114
00:55:08,640 --> 00:55:11,120
Speaker 6: hissing from the pan is doing a number on Danielle's

1115
00:55:11,520 --> 00:55:16,080
Speaker 6: microphone like her auto algorithm settings. So it's not it's

1116
00:55:16,120 --> 00:55:19,200
Speaker 6: not her fault. It's just the microphones having trouble processing it.

1117
00:55:19,280 --> 00:55:21,280
Speaker 6: But we can see what you're doing, Danielle.

1118
00:55:21,440 --> 00:55:25,600
Speaker 4: Yeah, the interpret to interpret for Danielle here, what she's

1119
00:55:25,600 --> 00:55:28,440
Speaker 4: saying is she's leaving enough room in the pan, including

1120
00:55:28,520 --> 00:55:32,560
Speaker 4: like a little doughnut hole in the middle. So the steam,

1121
00:55:33,040 --> 00:55:35,799
Speaker 4: even though she pre dried, pre padded dry her meat,

1122
00:55:36,320 --> 00:55:40,800
Speaker 4: that steam is going to come out, and you're not

1123
00:55:40,840 --> 00:55:42,880
Speaker 4: gonna steam the meat. You're gonna get that nice kind

1124
00:55:42,920 --> 00:55:48,719
Speaker 4: of brown crust evenly. And she's working in batches, not

1125
00:55:48,840 --> 00:55:50,840
Speaker 4: putting everything in there at once or else you're just

1126
00:55:50,920 --> 00:55:54,120
Speaker 4: gonna inevitably build up moisture in there and you're not

1127
00:55:54,320 --> 00:55:56,200
Speaker 4: going to get a good browning on your meat.

1128
00:55:57,960 --> 00:56:00,800
Speaker 2: All right, Danielle is working on this first pat or

1129
00:56:00,840 --> 00:56:03,920
Speaker 2: this first batch in the pan. Danielle, what point do

1130
00:56:04,000 --> 00:56:05,719
Speaker 2: we season the meat when we're browning it?

1131
00:56:08,440 --> 00:56:10,080
Speaker 12: I'm walking away that better.

1132
00:56:11,160 --> 00:56:12,040
Speaker 2: We'll find out.

1133
00:56:12,160 --> 00:56:19,960
Speaker 12: Yeah, So I season it after I slipped with salt, pepper,

1134
00:56:20,000 --> 00:56:22,600
Speaker 12: and then whatever else is in the recipe. I like

1135
00:56:22,680 --> 00:56:25,640
Speaker 12: to see a little bit later because salt will draw

1136
00:56:25,840 --> 00:56:27,759
Speaker 12: moisture out, So I let it get kind of a

1137
00:56:27,840 --> 00:56:31,799
Speaker 12: nice crust and I'll flip it, season it, and then

1138
00:56:31,880 --> 00:56:34,520
Speaker 12: season with like everything else that goes in the recipe.

1139
00:56:34,600 --> 00:56:36,359
Speaker 12: So a lot of times you'll see a recipe that'll

1140
00:56:36,400 --> 00:56:42,080
Speaker 12: be like add brown then add abc ingredient, and then

1141
00:56:42,120 --> 00:56:46,560
Speaker 12: add your spices like rosemary or whatever. But that just

1142
00:56:46,680 --> 00:56:50,200
Speaker 12: kind of gets the liquid flavorful, but not the meat.

1143
00:56:50,360 --> 00:56:52,640
Speaker 12: So I feel like the season the meat you get,

1144
00:56:52,719 --> 00:56:55,640
Speaker 12: the meat gets those flavors and then the liquid will

1145
00:56:55,800 --> 00:56:56,640
Speaker 12: kind of like band.

1146
00:57:00,280 --> 00:57:02,800
Speaker 2: When do we flip those patties now that we're turning

1147
00:57:02,840 --> 00:57:07,040
Speaker 2: into brown meat, She's about to check them out. Danielle's

1148
00:57:07,040 --> 00:57:09,960
Speaker 2: cookbook again is available right now. You can get it

1149
00:57:10,040 --> 00:57:12,120
Speaker 2: at the meat eater dot com. You could get it

1150
00:57:12,160 --> 00:57:14,840
Speaker 2: at Amazon, a lot of places books are sold. I

1151
00:57:14,920 --> 00:57:16,800
Speaker 2: have it sitting in my kitchen right now. I've already

1152
00:57:16,800 --> 00:57:18,480
Speaker 2: made a few recipes out of there. One thing I

1153
00:57:18,560 --> 00:57:22,280
Speaker 2: really love about the cookbook, and it seems unique to me,

1154
00:57:23,240 --> 00:57:25,920
Speaker 2: is that it is separated by the seasons, which for

1155
00:57:26,040 --> 00:57:28,600
Speaker 2: folks who go out and get their own food or

1156
00:57:28,720 --> 00:57:30,880
Speaker 2: forage it or catch it or kill it, whatever that is.

1157
00:57:31,480 --> 00:57:35,160
Speaker 2: That's a convenient way to think about your cooking. Danielle,

1158
00:57:35,200 --> 00:57:39,400
Speaker 2: give us an update there on the pan. We can

1159
00:57:39,480 --> 00:57:39,760
Speaker 2: see it.

1160
00:57:40,160 --> 00:57:40,680
Speaker 1: That's brown.

1161
00:57:40,800 --> 00:57:46,040
Speaker 2: That looks like brown meat. That's right. That is not

1162
00:57:46,320 --> 00:57:49,080
Speaker 2: grade meat like you described earlier. That is brown meat

1163
00:57:49,080 --> 00:57:49,640
Speaker 2: that we're seeing.

1164
00:57:50,400 --> 00:57:53,440
Speaker 12: Yeah, and so chop it up in aiece.

1165
00:57:54,960 --> 00:57:58,040
Speaker 2: Okay, she's flipped the burger. Now she's chopping Danielle. I

1166
00:57:58,080 --> 00:58:01,320
Speaker 2: feel like when I'm at like some fine dining place,

1167
00:58:01,480 --> 00:58:04,360
Speaker 2: I get ground burger in my meal. That is like

1168
00:58:04,560 --> 00:58:08,120
Speaker 2: bigger chunks. But my instinct at home is to like

1169
00:58:08,240 --> 00:58:11,640
Speaker 2: break it up into the minced the most mince meat possible.

1170
00:58:12,040 --> 00:58:14,000
Speaker 2: What what what should I be doing? Is it like

1171
00:58:14,120 --> 00:58:16,360
Speaker 2: recipe dependent? Is there a right way to do it?

1172
00:58:16,440 --> 00:58:16,880
Speaker 2: The wrong way?

1173
00:58:19,040 --> 00:58:20,400
Speaker 12: I think a lot of it's kind.

1174
00:58:20,280 --> 00:58:22,920
Speaker 16: Of personal, so, and it has a lot to do

1175
00:58:23,080 --> 00:58:26,000
Speaker 16: with the way that it's being ground and what's in

1176
00:58:26,120 --> 00:58:29,320
Speaker 16: the ground, how much fat's in the ground. So like

1177
00:58:30,560 --> 00:58:32,760
Speaker 16: you know, like a sausage has a lot of fat,

1178
00:58:32,920 --> 00:58:35,400
Speaker 16: and then you're you're sort of mixing it to like

1179
00:58:35,560 --> 00:58:38,520
Speaker 16: sort of emosify the fat in the in the cold

1180
00:58:38,600 --> 00:58:40,560
Speaker 16: water in there, so you're getting kind of like a

1181
00:58:41,440 --> 00:58:45,840
Speaker 16: like a solid form with ground meat, especially like a

1182
00:58:45,920 --> 00:58:48,400
Speaker 16: recipe like this that's going to be all loose. I

1183
00:58:48,680 --> 00:58:53,080
Speaker 16: personally like to grind it really fine in a way

1184
00:58:53,440 --> 00:58:54,240
Speaker 16: that keeps the.

1185
00:58:54,360 --> 00:58:57,080
Speaker 12: Strands as separate as possible, and then when you go

1186
00:58:57,160 --> 00:59:00,200
Speaker 12: to grind it, it gets into it like gets all

1187
00:59:00,240 --> 00:59:03,160
Speaker 12: these tiny little bit of crispy bits. That's really good.

1188
00:59:03,960 --> 00:59:06,640
Speaker 12: The problem with like grinding it that way is it

1189
00:59:06,760 --> 00:59:10,080
Speaker 12: doesn't make the best burger because it doesn't stick.

1190
00:59:09,920 --> 00:59:10,640
Speaker 16: Together as well.

1191
00:59:11,000 --> 00:59:14,120
Speaker 12: But it makes the best like loose round meat. If

1192
00:59:14,160 --> 00:59:14,800
Speaker 12: that makes sense.

1193
00:59:15,720 --> 00:59:18,480
Speaker 2: Yeah, Danielle has now taught us the proper way to

1194
00:59:18,640 --> 00:59:21,800
Speaker 2: brown ground meat, which is a great foundation for a

1195
00:59:21,880 --> 00:59:24,160
Speaker 2: lot of recipes in your cookbook. Tell folks about the

1196
00:59:24,200 --> 00:59:26,160
Speaker 2: cookbook what they should expect to find in there if

1197
00:59:26,200 --> 00:59:26,840
Speaker 2: they pick one up.

1198
00:59:32,000 --> 00:59:36,640
Speaker 1: So connection there. Oh you're good, sorry, Danielle.

1199
00:59:37,600 --> 00:59:40,800
Speaker 12: Oh, so the cookbook is. You can buy it wherever

1200
00:59:40,920 --> 00:59:43,960
Speaker 12: books are sold. It's organized by the seasons, because I

1201
00:59:44,040 --> 00:59:47,640
Speaker 12: wanted people to get really excited about what's growing, what

1202
00:59:48,280 --> 00:59:51,280
Speaker 12: you can haunt, what you can fish outdoors, to get

1203
00:59:51,360 --> 00:59:55,040
Speaker 12: outside in nature and be inspired by the outdoors and

1204
00:59:55,760 --> 00:59:58,880
Speaker 12: be able to cook through the seasons. And so you'll

1205
00:59:58,920 --> 01:00:02,200
Speaker 12: find all sorts of recipes, not just for wild game,

1206
01:00:02,760 --> 01:00:06,120
Speaker 12: but like a lot of really vegetable centered recipes. There's

1207
01:00:06,200 --> 01:00:09,760
Speaker 12: even desserts in there, like for winter, I've got a

1208
01:00:09,840 --> 01:00:12,040
Speaker 12: duck fat chocolate chip cookie recipe.

1209
01:00:13,680 --> 01:00:18,520
Speaker 2: All right, Danielle, Let's say that someone just picked up

1210
01:00:18,520 --> 01:00:20,680
Speaker 2: the cookbook and they kill their uh, they kill a

1211
01:00:20,760 --> 01:00:22,720
Speaker 2: deer here in the coming month, and they bring that

1212
01:00:22,920 --> 01:00:25,560
Speaker 2: venison home. What's the first thing that you think they

1213
01:00:25,600 --> 01:00:28,280
Speaker 2: should make from your cookbook? Give us your best recommendation.

1214
01:00:30,160 --> 01:00:33,080
Speaker 12: Well, if you were asking my husband His birthday is

1215
01:00:33,280 --> 01:00:36,520
Speaker 12: the first of October or first week of October, and

1216
01:00:37,280 --> 01:00:41,160
Speaker 12: usually likes to go archery l hunting, and if he's successful,

1217
01:00:41,720 --> 01:00:45,040
Speaker 12: the first thing he wants for his birthday is venison tartar.

1218
01:00:45,760 --> 01:00:48,360
Speaker 12: He just likes to eat it raw. He gets really

1219
01:00:48,440 --> 01:00:51,080
Speaker 12: excited about that. But I think it depends on the

1220
01:00:51,160 --> 01:00:52,920
Speaker 12: kind of person you are and what your what you

1221
01:00:53,480 --> 01:00:56,280
Speaker 12: you know, what you like to eat. I think there's

1222
01:00:56,320 --> 01:00:59,920
Speaker 12: some recipe for tenderloins with brown butter and sage that

1223
01:01:00,040 --> 01:01:05,200
Speaker 12: it's very good. It's literally just those two things, super

1224
01:01:05,320 --> 01:01:09,080
Speaker 12: simple but really really savory, and those are kind of

1225
01:01:09,160 --> 01:01:11,280
Speaker 12: like the good like celebratory dishes.

1226
01:01:12,520 --> 01:01:15,400
Speaker 2: Yeah, for the tartar recipe you're talking about, I made

1227
01:01:15,440 --> 01:01:19,160
Speaker 2: that at home last week, and I loved the parmesan

1228
01:01:19,440 --> 01:01:22,360
Speaker 2: horse radish spread. I'm gonna I'm gonna use that now

1229
01:01:22,480 --> 01:01:23,960
Speaker 2: like once a month. That's gonna be one of my

1230
01:01:24,040 --> 01:01:24,960
Speaker 2: go to condiments.

1231
01:01:26,440 --> 01:01:30,840
Speaker 12: Yeah, that's really good on like if you're gonna make

1232
01:01:30,880 --> 01:01:33,720
Speaker 12: a sandwich. So there's another recipe for like a venison

1233
01:01:33,960 --> 01:01:38,120
Speaker 12: sirloin tip that's like roasted, kind of like you would

1234
01:01:38,200 --> 01:01:41,560
Speaker 12: roast a prime rib. So it's like that rosy red

1235
01:01:42,200 --> 01:01:45,160
Speaker 12: big honk of meat. Slice that really thin and put

1236
01:01:45,200 --> 01:01:48,040
Speaker 12: that on a sandwich with that parmesan horse radish sauce

1237
01:01:48,120 --> 01:01:49,320
Speaker 12: and it's pretty money.

1238
01:01:49,840 --> 01:01:52,280
Speaker 2: All right, Danielle, Well, thank you for the lesson on

1239
01:01:52,520 --> 01:01:55,080
Speaker 2: browning ground meat. Congrats on the cokebook, and thanks for

1240
01:01:55,160 --> 01:01:55,600
Speaker 2: joining us.

1241
01:01:55,720 --> 01:01:55,960
Speaker 11: Thank you.

1242
01:01:56,640 --> 01:02:01,600
Speaker 1: Thanks guys, good variety. Don't get bored with it. It's awesome.

1243
01:02:02,240 --> 01:02:03,960
Speaker 2: Cal Have you broke into the cookbook yet?

1244
01:02:04,000 --> 01:02:04,200
Speaker 13: Have you?

1245
01:02:04,680 --> 01:02:06,720
Speaker 2: Have you experimented with any of the recipes.

1246
01:02:07,160 --> 01:02:09,960
Speaker 4: I just got it and I've been out of town,

1247
01:02:10,080 --> 01:02:13,520
Speaker 4: but flipped through it, and Yeah, there's all sorts of

1248
01:02:13,560 --> 01:02:16,520
Speaker 4: fun stuff in there. And there's some like non meat

1249
01:02:16,680 --> 01:02:21,439
Speaker 4: things in there which I definitely could get a shot

1250
01:02:21,520 --> 01:02:25,120
Speaker 4: in the arm over. I get obsessed over turning over

1251
01:02:25,200 --> 01:02:29,400
Speaker 4: the freezer. Sure, so I'm more of the protein oriented cook.

1252
01:02:30,760 --> 01:02:32,640
Speaker 4: So there's like some Bruce Setta and stuff in there.

1253
01:02:32,720 --> 01:02:34,840
Speaker 2: There you go, it's good for You're gonna explore beyond

1254
01:02:34,880 --> 01:02:35,920
Speaker 2: the fall section when you.

1255
01:02:36,280 --> 01:02:40,600
Speaker 4: Yes do it? Yeah, exactly, the squash blossoms stuff like that. Yeah,

1256
01:02:41,200 --> 01:02:41,760
Speaker 4: that sounds good.

1257
01:02:42,000 --> 01:02:42,280
Speaker 1: All right.

1258
01:02:42,360 --> 01:02:44,400
Speaker 2: That brings us to the end of the show. Phil,

1259
01:02:44,440 --> 01:02:45,760
Speaker 2: let's get some listener feedback.

1260
01:02:46,760 --> 01:02:51,320
Speaker 6: Yeah, another big, big meaty question here. It'll work there

1261
01:02:51,400 --> 01:02:53,640
Speaker 6: we are, and more than ninety four says I'm looking

1262
01:02:53,640 --> 01:02:56,120
Speaker 6: for your career change. My passion is the outdoors. Any

1263
01:02:56,160 --> 01:02:58,200
Speaker 6: suggestions for a career to look into.

1264
01:02:58,600 --> 01:03:01,360
Speaker 2: We had a trivia question about this at one point,

1265
01:03:01,440 --> 01:03:03,640
Speaker 2: and Seth can speak to this more. But there was

1266
01:03:03,720 --> 01:03:08,840
Speaker 2: some polling done of thousands of Americans asking them about

1267
01:03:08,880 --> 01:03:11,520
Speaker 2: their careers and their stress level and their happiness and

1268
01:03:11,600 --> 01:03:14,160
Speaker 2: their pay grade and time off and stuff like that,

1269
01:03:14,760 --> 01:03:19,640
Speaker 2: and that polling found that the happiest people, the happiest

1270
01:03:19,680 --> 01:03:24,479
Speaker 2: Americans are working in the forestry industry. So I guess

1271
01:03:24,880 --> 01:03:27,080
Speaker 2: that would be one of my recommendations if you work

1272
01:03:27,120 --> 01:03:30,280
Speaker 2: in a place that you're looking to just just be happy.

1273
01:03:30,360 --> 01:03:32,600
Speaker 2: In general, those people seem to have less stress, they

1274
01:03:32,600 --> 01:03:35,800
Speaker 2: were stoked on their pay, and really loved what they did. Seth,

1275
01:03:35,920 --> 01:03:37,120
Speaker 2: does that seem right to you?

1276
01:03:38,160 --> 01:03:39,560
Speaker 1: Yeah, I would say for the most part.

1277
01:03:40,680 --> 01:03:43,000
Speaker 3: But I guess to play Devil's advocate a little bit

1278
01:03:43,040 --> 01:03:48,480
Speaker 3: on that is, you often look at a forest in

1279
01:03:48,560 --> 01:03:52,280
Speaker 3: a different way that a normal person would like you

1280
01:03:52,680 --> 01:03:54,400
Speaker 3: A normal person might go into a stand in trees

1281
01:03:54,440 --> 01:03:57,000
Speaker 3: and be like, oh, this is like beautiful, and whereas

1282
01:03:57,040 --> 01:04:01,080
Speaker 3: like a forest or somethings like there's an invasive you know,

1283
01:04:02,000 --> 01:04:05,840
Speaker 3: these trees are like all I don't know, overgrown and

1284
01:04:05,960 --> 01:04:08,520
Speaker 3: like not healthy, and you know, you just kind of

1285
01:04:08,560 --> 01:04:11,560
Speaker 3: look at things differently. But as a hunter, you also

1286
01:04:11,640 --> 01:04:14,240
Speaker 3: look at it differently because you're like, oh, the like

1287
01:04:14,600 --> 01:04:16,920
Speaker 3: this tree is gonna be producing fit here in like

1288
01:04:17,040 --> 01:04:19,720
Speaker 3: a month or you know so, and.

1289
01:04:19,800 --> 01:04:23,040
Speaker 2: I imagine as forest tree. It's a wide range of

1290
01:04:23,360 --> 01:04:26,040
Speaker 2: education levels that you can have at experienced levels.

1291
01:04:26,360 --> 01:04:26,640
Speaker 1: Total.

1292
01:04:26,640 --> 01:04:30,040
Speaker 2: Again, happiest career field among Americans.

1293
01:04:30,200 --> 01:04:31,240
Speaker 1: It is a great career field.

1294
01:04:31,520 --> 01:04:33,400
Speaker 2: Call anything, dad, Yeah, I think on.

1295
01:04:36,120 --> 01:04:40,360
Speaker 4: Our connectivity problem is really messing up the happiness of

1296
01:04:40,440 --> 01:04:44,320
Speaker 4: that job. Because used to be out of cell phone

1297
01:04:44,360 --> 01:04:46,840
Speaker 4: service for the most part, and as long as you

1298
01:04:46,880 --> 01:04:48,960
Speaker 4: were out of your truck and outside of the truck radio,

1299
01:04:49,480 --> 01:04:51,919
Speaker 4: you couldn't be bothered, which I'm sure is what made

1300
01:04:51,960 --> 01:04:56,520
Speaker 4: those people so happy. Now it's like there's cell phone

1301
01:04:56,520 --> 01:05:00,920
Speaker 4: service down near everywhere. So yeah, yeah, come on.

1302
01:05:01,720 --> 01:05:03,760
Speaker 2: As we talked about with Solomon David, I was a

1303
01:05:03,840 --> 01:05:06,160
Speaker 2: fish biologist in my former life and I loved it.

1304
01:05:06,280 --> 01:05:06,680
Speaker 12: That was.

1305
01:05:08,480 --> 01:05:10,000
Speaker 2: Very fun going to work every day.

1306
01:05:10,080 --> 01:05:11,640
Speaker 1: It's oftentimes rewarding work.

1307
01:05:11,960 --> 01:05:15,280
Speaker 6: Yes, sure, yep, John asked is there a release date

1308
01:05:15,320 --> 01:05:18,000
Speaker 6: for the new Meat Eater American History audio book? And

1309
01:05:18,040 --> 01:05:22,720
Speaker 6: then Randall piped in in the chat, Hey, John, Meat

1310
01:05:22,760 --> 01:05:25,000
Speaker 6: Eat American History Volume two comes out in February. We're

1311
01:05:25,000 --> 01:05:28,560
Speaker 6: actually recording it next week. The podcast studio is booked.

1312
01:05:28,800 --> 01:05:29,919
Speaker 2: H huh all week.

1313
01:05:30,720 --> 01:05:32,800
Speaker 1: It's a b and my bonnet spencer. Yeah, but we're

1314
01:05:32,800 --> 01:05:33,520
Speaker 1: gonna make it work.

1315
01:05:33,600 --> 01:05:35,160
Speaker 2: And Randall's not stressed at all.

1316
01:05:35,520 --> 01:05:38,440
Speaker 6: No, he's doing great, uh huh, completely put together.

1317
01:05:38,600 --> 01:05:42,680
Speaker 2: So Meat Eater American History Volume two coming out in February.

1318
01:05:42,880 --> 01:05:43,240
Speaker 1: That's right.

1319
01:05:43,360 --> 01:05:46,480
Speaker 6: A favorite thing to make with a bear shoulder. Micah

1320
01:05:46,520 --> 01:05:48,360
Speaker 6: got his first black bear this year. You guys have

1321
01:05:48,440 --> 01:05:49,880
Speaker 6: any shoulder tips.

1322
01:05:49,920 --> 01:05:53,840
Speaker 4: Green chili, it's a great one. Lots of connective tissue

1323
01:05:54,040 --> 01:05:57,120
Speaker 4: in the shoulders. The bummer is if you part out

1324
01:05:57,200 --> 01:06:02,160
Speaker 4: that shoulder there's actually really tender meat in front shoulders,

1325
01:06:02,200 --> 01:06:07,080
Speaker 4: which a lot of people don't think about. But you

1326
01:06:07,200 --> 01:06:11,080
Speaker 4: can cook that shoulder hole on the smoker and then

1327
01:06:13,040 --> 01:06:16,840
Speaker 4: part it out, drop it into like a green chili

1328
01:06:16,960 --> 01:06:19,720
Speaker 4: or red chili chili Colorado something like that, and it's

1329
01:06:19,880 --> 01:06:22,400
Speaker 4: it's absolute winter killer stuff.

1330
01:06:23,200 --> 01:06:23,439
Speaker 1: Yeah.

1331
01:06:23,720 --> 01:06:26,320
Speaker 3: I like I like just like blade roast, you know,

1332
01:06:26,920 --> 01:06:30,120
Speaker 3: like drop that thing in a crockpot and like being

1333
01:06:30,200 --> 01:06:33,680
Speaker 3: able to just pull a full scapula out of a

1334
01:06:34,880 --> 01:06:37,120
Speaker 3: slow cooked piece of meat is pretty satisfy.

1335
01:06:37,200 --> 01:06:40,360
Speaker 4: Yeah, you get the old Betty Crocker cookbook and the

1336
01:06:40,560 --> 01:06:44,360
Speaker 4: Italian pot roast recipe for bear is great.

1337
01:06:44,560 --> 01:06:47,400
Speaker 2: Yeah, I've already been served bear. I haven't cooked myself,

1338
01:06:47,440 --> 01:06:49,480
Speaker 2: but in part of my plate we cook some coyote,

1339
01:06:49,960 --> 01:06:51,960
Speaker 2: which you have to handle similar to bear, because it's

1340
01:06:51,960 --> 01:06:53,840
Speaker 2: a pretor and predator and you're worried about trick and

1341
01:06:53,920 --> 01:06:55,760
Speaker 2: osis that we just put in a crock pot. And

1342
01:06:55,760 --> 01:06:57,680
Speaker 2: I could have told you was any sort of red

1343
01:06:57,760 --> 01:06:59,640
Speaker 2: meat in the world and you wouldn't have known the difference.

1344
01:06:59,680 --> 01:07:04,320
Speaker 2: So as as Seth suggested, and cal croc pot might

1345
01:07:04,360 --> 01:07:04,880
Speaker 2: be the way to go.

1346
01:07:06,200 --> 01:07:07,800
Speaker 6: Do you guys have bucket list states that you have

1347
01:07:07,880 --> 01:07:08,520
Speaker 6: not hunted yet?

1348
01:07:08,560 --> 01:07:09,520
Speaker 1: It's from Enzo.

1349
01:07:12,160 --> 01:07:14,840
Speaker 2: Iowa we talked about on a previous show. We ranked

1350
01:07:14,840 --> 01:07:16,720
Speaker 2: the states would love to have a hunting property, and

1351
01:07:16,720 --> 01:07:19,000
Speaker 2: I'm building points in that state. It's going to happen soon,

1352
01:07:19,120 --> 01:07:21,320
Speaker 2: but I'd put Iowa on the bucket list. And then

1353
01:07:21,800 --> 01:07:24,200
Speaker 2: you know my new silly goal with the white tailed

1354
01:07:24,240 --> 01:07:26,680
Speaker 2: time zone slam. I got to go to Quebec or

1355
01:07:26,800 --> 01:07:28,280
Speaker 2: New Brunswick or something over there.

1356
01:07:28,640 --> 01:07:31,600
Speaker 13: How about you boys, I want to do the Kansas

1357
01:07:32,240 --> 01:07:40,000
Speaker 13: thing like on probably East Oka, and then.

1358
01:07:42,280 --> 01:07:46,560
Speaker 3: More so A bucket list animal rather than state is moose.

1359
01:07:46,840 --> 01:07:49,640
Speaker 3: But I mean I'd love to hunt one in Alaska.

1360
01:07:49,360 --> 01:07:54,080
Speaker 4: So cal you know, give me an excuse. I'll hunt

1361
01:07:54,400 --> 01:07:57,600
Speaker 4: any state and be real excited about it. And the

1362
01:07:57,680 --> 01:07:59,880
Speaker 4: question that they were referring to earlier, that was directed

1363
01:07:59,880 --> 01:08:02,840
Speaker 4: at me from Colin any playser shows coming up?

1364
01:08:03,400 --> 01:08:03,640
Speaker 1: Phil?

1365
01:08:03,920 --> 01:08:07,120
Speaker 6: The answer is, yes, I'm not doing the Christmas show

1366
01:08:07,160 --> 01:08:09,840
Speaker 6: this year, but i am. There aren't there aren't a

1367
01:08:09,880 --> 01:08:15,040
Speaker 6: lot of adult male parts in Annie unfortunately, but I

1368
01:08:15,120 --> 01:08:17,760
Speaker 6: am doing a show in February that I'm excited about.

1369
01:08:17,760 --> 01:08:20,400
Speaker 6: It's like I've it's it's outside of the big historic

1370
01:08:20,479 --> 01:08:22,880
Speaker 6: theater in Bozeman. It's sort of like an off I

1371
01:08:22,920 --> 01:08:25,360
Speaker 6: don't want to say off Broadway, but it's a it's

1372
01:08:25,400 --> 01:08:27,000
Speaker 6: a smaller play called The Minute, sort of like a

1373
01:08:27,040 --> 01:08:29,960
Speaker 6: twelve angry Man, like a bunch of people deliberating in

1374
01:08:30,000 --> 01:08:31,880
Speaker 6: a room. It takes place in real time. So like

1375
01:08:32,040 --> 01:08:33,679
Speaker 6: that kind of stuff is a blast, Like I'm really

1376
01:08:34,120 --> 01:08:36,240
Speaker 6: I'm excited to dig into it. So if you're in

1377
01:08:36,280 --> 01:08:38,760
Speaker 6: the Bozeman area in February, check that out.

1378
01:08:38,840 --> 01:08:40,000
Speaker 2: I will be I'm gonna go see it.

1379
01:08:40,160 --> 01:08:42,439
Speaker 1: Could we call it off off Broadway?

1380
01:08:43,640 --> 01:08:48,400
Speaker 2: Maybe a few more offs, several anything else fill from

1381
01:08:48,439 --> 01:08:49,200
Speaker 2: the chat this week?

1382
01:08:49,800 --> 01:08:51,240
Speaker 6: I don't I don't know if you guys saw it,

1383
01:08:51,479 --> 01:08:53,680
Speaker 6: anything that that popped up that you guys want to

1384
01:08:53,760 --> 01:08:54,600
Speaker 6: want to tackle, but.

1385
01:08:55,040 --> 01:08:57,679
Speaker 4: Oh I saw is Is there a chance of Phil

1386
01:08:57,840 --> 01:09:00,320
Speaker 4: going out on a hunt that's going to be m

1387
01:09:00,560 --> 01:09:03,960
Speaker 4: m oh, yeah, I did start that one boop it

1388
01:09:03,960 --> 01:09:04,960
Speaker 4: would be hunt that you will go on.

1389
01:09:05,040 --> 01:09:05,240
Speaker 1: Phil.

1390
01:09:05,320 --> 01:09:08,519
Speaker 6: I've I've actually been on a few hunts multiple with

1391
01:09:09,080 --> 01:09:13,800
Speaker 6: Ryan Callahan here. He got me my first pheasants. But

1392
01:09:14,680 --> 01:09:17,040
Speaker 6: nothing I do will ever be filmed. I can guarantee

1393
01:09:17,080 --> 01:09:20,720
Speaker 6: that I don't look forward to that. But yeah, I

1394
01:09:20,760 --> 01:09:22,200
Speaker 6: don't really have the fire and my belly for it.

1395
01:09:22,240 --> 01:09:23,400
Speaker 6: But every time I get out there, I just love

1396
01:09:23,479 --> 01:09:25,439
Speaker 6: being outside and learning a ton of stuff that I

1397
01:09:25,479 --> 01:09:28,160
Speaker 6: don't know much about. And Cal's a great, great host,

1398
01:09:28,280 --> 01:09:29,960
Speaker 6: So yeah, hopefully we can get out there soon.

1399
01:09:30,240 --> 01:09:30,559
Speaker 1: All right.

1400
01:09:30,640 --> 01:09:32,120
Speaker 2: That brings us to the end of the show, and

1401
01:09:32,200 --> 01:09:34,680
Speaker 2: we're starting a new tradition this week. We're going to

1402
01:09:34,920 --> 01:09:38,000
Speaker 2: end each show with a video. It might be funny

1403
01:09:38,160 --> 01:09:41,000
Speaker 2: or educational or gross, and this week's is a little

1404
01:09:41,000 --> 01:09:44,360
Speaker 2: bit of all three. Here is Steve cleaning a sting ray.

1405
01:09:44,479 --> 01:09:46,240
Speaker 2: We'll see everyone back here at the same time and

1406
01:09:46,320 --> 01:09:48,880
Speaker 2: place next week for more meaty to radio.

1407
01:09:51,160 --> 01:09:52,800
Speaker 1: To demonstrate the low yield.

1408
01:09:56,960 --> 01:10:00,840
Speaker 7: Yeah, a lot of doing and you get in the

1409
01:10:00,880 --> 01:10:03,000
Speaker 7: tree and a lot of little bags come.

1410
01:10:02,880 --> 01:10:03,200
Speaker 9: Out of it.

1411
01:10:04,880 --> 01:10:08,920
Speaker 1: Is there like the vivorous settings in the car? Five bird?

1412
01:10:12,840 --> 01:10:16,160
Speaker 2: What don't you call that Skatewe said no, just get.

1413
01:10:16,000 --> 01:10:16,960
Speaker 1: A ring or anything.

1414
01:10:18,760 --> 01:10:20,000
Speaker 2: There's one, So.

1415
01:10:21,600 --> 01:10:24,080
Speaker 1: We got a skin of you. There's steth plays.

1416
01:10:24,840 --> 01:10:26,360
Speaker 7: Realize the side of