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Speaker 1: Smell us Now, lady, Welcome to Meet Eater Trivia podcast.

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Speaker 2: Welcome to Meet Eater Radio Live. It's eleven am Mountain Time.

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Speaker 2: That's ten am for our friends in Fort Bragg, California,

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Speaker 2: on Thursday, September eleventh, and we're live for Met Eater,

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Speaker 2: HQ and Bozeman. I'm your host, Spencer, joined today by

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Speaker 2: Callen Seth. On today's show, we'll interview Owen Riser about

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Speaker 2: spending a year as a competitive burder. After that we'll

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Speaker 2: have gear talk. Then we'll look at old hunting and

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Speaker 2: fishing pictures for Throwback Thursday. And finally, Kip Adams from

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Speaker 2: the National Dear Association will join us to give an

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Speaker 2: EHD report for every region. Now, we've got a few

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Speaker 2: plugs to get to before we move on with the show.

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Speaker 2: Meet Eater is heading south for the holidays. We are

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Speaker 2: thrilled to announce Meat Eater Live, the Christmas Tour coming

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Speaker 2: to you this December. We have stops in Birmingham, Nashville, Memphis, Fayetteville, Dallas,

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Speaker 2: and Austin. Come hang with Steve Giannis, Clay Randall and

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Speaker 2: Brent for a night of laughs, trivia, prizes and stories

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Speaker 2: from the outdoors. Go to the medeater dot com slash

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Speaker 2: tour to sign up for pre sale access, which starts

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Speaker 2: September twenty third. That will give you a chance to

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Speaker 2: buy tickets before they officially go on sale to the public.

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Speaker 2: That's Medeater, the medeater dot Com slash Tour. We can't

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Speaker 2: wait to see you there. Also the med Eater Tailgate

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Speaker 2: Tour presented by Dometic Rolls. On this Saturday, me and

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Speaker 2: Jesse Griffiths will be hanging out at the Longhorns game

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Speaker 2: in Austin. Next Saturday, it's me Mark Kenyon and Chester

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Speaker 2: and Garrett Long. We'll be at the Wisconsin Badgers game

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Speaker 2: in Madison. The week after that. You'll catch Seth and

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Speaker 2: Brody at Penns Date. And finally, Yannis and Garrett had

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Speaker 2: to Notre Dame on October fourth. Come hang with us,

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Speaker 2: Come stump us with some trivia, tell us hunting stories,

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Speaker 2: eat our food. We'll have a good time tailgating. Cal

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Speaker 2: and Seth. What have you boys been up too lately?

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Speaker 1: Oh? So much? Been digging deep in the freezer. I

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Speaker 1: have many many projects going on simultaneously.

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Speaker 2: Give me an update.

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Speaker 1: Been breaking in new strings for the bow and throwing

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Speaker 1: darts and things are things are looking really good on

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Speaker 1: the archery.

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Speaker 2: Front, very specific hunt you're prepping for.

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Speaker 1: Yeah, brown bear in Alaska here at the end of

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Speaker 1: the month. And then I everywhere I look, there's just

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Speaker 1: things that needs to be straightened up and done so

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Speaker 1: I can have an efficient and good hunting season.

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Speaker 2: Yes.

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Speaker 1: So I stuck my head in the freezer and I

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Speaker 1: was like, Oh, there's this bag of grind staring me

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Speaker 1: in the face that I haven't turned into burger yet.

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Speaker 1: And it had a hole in the bag, of course.

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Speaker 1: So I threw that in a box to take home.

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Speaker 1: And then basically underneath that, I was like, what what

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Speaker 1: is this bag? Because I have like a nice freezer

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Speaker 1: that's all visually appealing and organized, and then.

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Speaker 2: I have the vertical freezer right yeah, next the one

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Speaker 2: and then has one yes, and then the chest freezer

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Speaker 2: is like bulk yet to be refined, so like big

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Speaker 2: roast shanks, quarters sometimes whole birds, the big sacks.

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Speaker 1: Like grind them things that I'm gonna get to later on.

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Speaker 2: Yeah, that's the freezer you put like a gun case

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Speaker 2: on top of so no one is tempted to open

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Speaker 2: it up and look in there. Yeah, because the vertical freezer,

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Speaker 2: that's the that's the company for that.

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Speaker 1: That's one that makes you look like you know what

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Speaker 1: you're doing and are respectful. So I'm like, what is

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Speaker 1: in this bag in the vertical freezer, in the nice freezer?

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Speaker 1: And it was these turkey carcasses that I realized that

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Speaker 1: I didn't turn into stock because I ran out of

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Speaker 1: jars during stock making season at the end of turkey season.

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Speaker 1: So I threw those in the box. And then I

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Speaker 1: got to looking around some more and there's all this

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Speaker 1: like random couple years collection of hearts, antelope and deer

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Speaker 1: and elk carts, so I threw those in the box.

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Speaker 1: And then a bunch of tongues, so I threw those

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Speaker 1: in the box. And then there's this big package a

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Speaker 1: goose bress that also had a hole in it, and

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Speaker 1: that went in the box. That one in the box.

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Speaker 2: Now what the box is the deep freezing No, the

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Speaker 2: box is.

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Speaker 1: The thing that was that was going to go in

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Speaker 1: the truck and then come back and then I was

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Speaker 1: going to start processing. So that literally this morning, I've

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Speaker 1: been going to bed at like eleven o'clock, waken up

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Speaker 1: at four thirty five, getting all this stuff done, so

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Speaker 1: I have the pressure cooker going finishing off the last.

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Speaker 2: Jarring right now? Yeah, okay, uh, well.

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Speaker 1: It turned it off to come over here. Sure it'd

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Speaker 1: be crazy spencerling.

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Speaker 2: And then you could have been doing it in the kitchen,

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Speaker 2: you know, ten steps away.

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Speaker 1: Yeah, I should have. And then I had one slow

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Speaker 1: cooker with the goose bress in it. I was like,

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Speaker 1: I'm gonna make like barbecue sandwiches out of goose breast,

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Speaker 1: which turns out awesome, but I didn't label these things properly,

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Speaker 1: and there were a big thing of corned goose brass,

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Speaker 1: so I had like onions and all sorts of stuff

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Speaker 1: in the slow cooker. And then I got to looking

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Speaker 1: at them and I'm like, oh, this is beautiful corn beef,

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Speaker 1: which you know, so it's still gonna be as a

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Speaker 1: good taste and sandwich. But then I'm like, God, you

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Speaker 1: just never learn. And then I had another slow cooker

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Speaker 1: with all the tongues in it, and I trimmed up

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Speaker 1: all the hearts and I put that in with the

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Speaker 1: grind and then ground all that stuff and made out

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Speaker 1: of that. We got all that packaged up and then

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Speaker 1: back in the nice vertical freezer, and then just the

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Speaker 1: list is endless.

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Speaker 2: Pre Fall going pre fall is stressful. I'm a better

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Speaker 2: hunter if things are taken care of at home, in

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Speaker 2: the yard, in the freezer. Yeah, I don't have to

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Speaker 2: think about those things. Then, yeah, I'm trying to kill

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Speaker 2: it exactly.

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Speaker 1: I'm at the point where I just burn all this

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Speaker 1: stuff in town down, give it away, uh huh, destroy

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Speaker 1: it yep. And then I'm just the dog and I

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Speaker 1: head off. Yeah, there you go.

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Speaker 2: It's now occurring to me as I look at your

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Speaker 2: two handsome faces. We have too many mustaches on this show.

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Speaker 2: We've hit our quota. We've hit our quota of mustaches. Phil,

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Speaker 2: you cannot grow a mustache.

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Speaker 1: You don't have to worry about that.

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Speaker 2: Okay, it's gonna get real weird if we go four

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Speaker 2: for four and mustaches in this studio. All right, moving on.

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Speaker 2: Joining us on the line first is Owen Riser, the

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Speaker 2: director of Listers. A Glimpse into Extreme bird watching documentary

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Speaker 2: is available on YouTube right now. Owen, welcome to the show, fellas.

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Speaker 3: Thanks for having me. I dug out my public landowner

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Speaker 3: shirt for you boys.

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Speaker 2: All right in listeners, you and your brother spend a

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Speaker 2: year as competitive bird watchers explain what that is and

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Speaker 2: more specifically, what it means to go for a big year.

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Speaker 3: Yeah, so we heard about this group of people that

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Speaker 3: try to list as many bird species as they can

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Speaker 3: in one calendar year and that's called a big year.

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Speaker 3: And we thought, you know, we didn't know anything about

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Speaker 3: the culture birdwatching. You know, we're big out like fans

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Speaker 3: of the outdoors and stuff, but we never messed with birdwatching.

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Speaker 3: And we were like, you know, we should try that,

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Speaker 3: we should learn about extreme birdwatching by becoming birdwatchers. And

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Speaker 3: that's what we did, and it was right. You know,

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Speaker 3: we made fun of them a little bit, but it's

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Speaker 3: a great hobby and we enjoyed the hell out of it.

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Speaker 2: Before you tried doing this, What was your experience with birdwatching?

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Speaker 3: Exactly?

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Speaker 1: Zero?

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Speaker 3: It was, It was zero experience. We knew a handful

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Speaker 3: of birds, like, you know, the card and all the

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Speaker 3: bald eagle, the you know, the junior varsity birds. We

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Speaker 3: knew all those, but certainly didn't know what a rose

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Speaker 3: throated but card was any of those, you know what

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Speaker 3: I mean.

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Speaker 2: So competitive birding can be a very expensive hobby, which

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Speaker 2: you guys learn in the documentary but you try to

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Speaker 2: do it as cheap as possible. Tell us about some

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Speaker 2: of the ways you saved money while traveling across the

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Speaker 2: country looking for rare birds.

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Speaker 3: Yeah, my brother and I are i'd say, experienced dirt bags,

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Speaker 3: so we knew how to live out of a car

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Speaker 3: and eat rice and beans and tuna and all that

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Speaker 3: kind of stuff. But yeah, most people doing a big year,

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Speaker 3: we found out they spend hundreds of thousands of dollars

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Speaker 3: to look at little birds, which is, you know, insane,

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Speaker 3: but we get it now, we understand. And yeah, we

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Speaker 3: slept in a minivan, spent the whole year on public land, basically,

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Speaker 3: with the exception of forty two nights at cracker barrels

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Speaker 3: across the h the only the only place you can

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Speaker 3: bang on free Knight's rest when you when you need

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Speaker 3: to be near a city or if there was a

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Speaker 3: rare bird report, like you know, and in an area

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Speaker 3: that didn't have public land. So that's kind of that's

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Speaker 3: kind of how we saved money.

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Speaker 2: Oh wow, What was the process like for sleeping in

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Speaker 2: a cracker barrel parking lot? Do you go in and

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Speaker 2: talk to the store manager? Do you call them ahead

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Speaker 2: of time? Or is it just known that that's cool

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Speaker 2: to do.

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Speaker 3: You know, that's kind of a rookie move going in

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Speaker 3: and asking the manager. We found out that's kind of

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Speaker 3: a rookie move. You just kind of pull out back

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Speaker 3: and you don't even have to eat in the restaurant,

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Speaker 3: and you shouldn't eat in the restaurant. Let's be honest.

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Speaker 1: Now, you played Newcome one time and watched him just

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Speaker 1: devour h Cracker barrel, specifically the Gritts. I was blown away.

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Speaker 3: All the grits. We saw somebody, uh maybe their last

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Speaker 3: moments in their life in a Cracker Real parking lot.

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Speaker 3: They evacuated the entire restaurant and they pulled somebody out

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Speaker 3: on a stretcher and Quinton. As a line in the movie,

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Speaker 3: it says, from the Grits to the gallows because it's

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Speaker 3: a it's a war zone in there.

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Speaker 2: What adventure during this journey you learn about some of

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Speaker 2: the bird watching drama, tell us about stringing and more

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Speaker 2: specifically Swallowgate.

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Speaker 3: Yeah, so it's probably similar in like hunting and fishing.

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Speaker 3: You know, people want that record or you know they

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Speaker 3: want that like I don't know, do you guys know

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Speaker 3: better than me? But like they put weights and fish

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Speaker 3: and stuff, right, is that?

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Speaker 2: Yeah, yeah, that's exactly what.

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Speaker 3: Yeah. Yeah. So so in birding, it's called stringing, and

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Speaker 3: it's basically the whole thing is built on an honor system, right,

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Speaker 3: but you know it's like, you know, there's cheeters out there,

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Speaker 3: and so stringing is basically stringing along these rare bird

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Speaker 3: sidings where you know, you say you saw the and

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Speaker 3: you didn't, or you exaggerate that you saw the bird

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Speaker 3: and you put it on this bird software called e

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Speaker 3: bird and uh, there's a famous incident from like a

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Speaker 3: decade ago called Swallowgate where a guy thought he or

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Speaker 3: he said he saw a bird called a violet green

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Speaker 3: swallow and it would have been a state record for

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Speaker 3: North Carolina, and a bunch of birders in the area

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Speaker 3: got skeptical of him. They dug in, they found out

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Speaker 3: where his location was on the date he said he

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Speaker 3: saw the bird, and it was uh, they somehow found

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Speaker 3: his location, and then then they dug him to the

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Speaker 3: metadata on the photo and they found out it was like, uh,

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Speaker 3: you know, didn't match the date he said it was at.

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Speaker 3: And then they went to a bunch of natural history

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Speaker 3: museums and matched the feather molt the specific feather molt

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Speaker 3: on this this bird, and they were like, no, at

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Speaker 3: this time of year, it should have more white on

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Speaker 3: this specific type of feather on the back of it,

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Speaker 3: and like it's crazy. So they nabbed the guy and

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Speaker 3: he's kind of blacklisted from the community. So in the movie,

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Speaker 3: I interviewed the guy and I got his perspective, and uh,

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Speaker 3: I kind of believe I kind of believe that he

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Speaker 3: really saw the bird. He said he just faked the

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Speaker 3: photo and he was like a young kid at the time,

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Speaker 3: but he explained it. I kind of I'm kind of one.

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Speaker 3: I know, I know, I love it.

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Speaker 1: I love it. Uh.

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Speaker 2: At some point, you guys find out that there is

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Speaker 2: a rare bird email chain and it leads to a

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Speaker 2: lot of new sightings. Tell us about that.

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Speaker 3: Yeah, so, uh, about probably two or three months into

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Speaker 3: the year, we found out we were missing out on

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Speaker 3: a lot because there's something called a uh the rare

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Speaker 3: bird e bird Alert thing, and so we went on

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Speaker 3: there and our numbers went up after that for sure,

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Speaker 3: and uh, you check this email thing and a bunch

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Speaker 3: of nerds basically just send out where they're seeing all

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Speaker 3: these uh, you know, rare birds. We saw one there.

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Speaker 3: We got one report of something called a cattle tyrant

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Speaker 3: and it was in uh Corpus Christie, I think, yeah,

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Speaker 3: Corpus Christi And uh, they tell you, they just tell

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Speaker 3: you the location of the bird. Drive there, you look

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Speaker 3: at it, you go nice, and you put it on

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Speaker 3: your fancy little list and you're good to go. All right.

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Speaker 2: What's your favorite bird that you found in the big year?

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Speaker 3: Mine is the I like the common birds. I'm I'm

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Speaker 3: not a rare bird. I like the common nighthawk. Big

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Speaker 3: fan of that one. Quentin is a big fan of

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Speaker 3: the road runner standard, you.

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Speaker 2: Know, okay, And what what was the rarest bird you

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Speaker 2: guys saw?

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Speaker 3: There was one. There's one called a gray collared bicard.

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Speaker 3: It was like the first time and you'd been seen

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Speaker 3: in the country. It's it's one of those it's like

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Speaker 3: right on the border at Texas in the US, so

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Speaker 3: it like flies flies from Mexico or yeah, from Mexico

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Speaker 3: to the US. Flies from Mexico. And then you can

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Speaker 3: count it on your big, fancy little list, and then

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Speaker 3: you know if it's if it's like one hundred yards south,

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Speaker 3: you can't count it. It's kind of one of those deals,

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Speaker 3: but yet on a super rare.

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Speaker 2: And what's the weirdest place that you guys checked a

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Speaker 2: bird off the list?

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Speaker 4: Uh?

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Speaker 3: We amped right outside of a women's prison in New

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Speaker 3: Mexico some uh you know, some bad ladies in there,

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Speaker 3: and uh we uh we we woke up in the

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Speaker 3: morning and saw our the first time we'd ever seen

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Speaker 3: something called a Clark's grebe and uh, I'll never look

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Speaker 3: at one of those the same again that they're out

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Speaker 3: in the pond, just kind of right outside the prison there.

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Speaker 2: Uh, a few times you guys had sightings that were

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Speaker 2: actually rejected. Tell us about that.

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Speaker 3: Yeah. Again, they say it's an honor system, but we

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Speaker 3: should have got a lot of emails that were saying,

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Speaker 3: you know, this wasn't the bird you saw because we

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Speaker 3: were so new at it, right, and uh, they're pretty

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Speaker 3: quick to take those away. Yeah, it's an honor system,

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Speaker 3: you know.

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Speaker 2: Yeah, you called them, we got the bird cops, right.

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Speaker 3: Yeah, they're the bird cops. They're a vicious group out there.

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Speaker 1: Did you side with them or were you like there right?

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Speaker 3: No, yeah, no, they're definitely right. Obviously we didn't.

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Speaker 2: Know what we were doing, yeh yeah, yeah, yeah, Okay,

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Speaker 2: So your sightings are tracked on the app E bird,

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Speaker 2: and that's who makes the leaderboard. I saw that e

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Speaker 2: bird had over one point one million users last year.

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Speaker 2: Tell us how many birds you saw and where you

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Speaker 2: ranked among those million competitors.

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Speaker 3: Yeah, so we saw five hundred and seventy nine species

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Speaker 3: of bird. And if you'd say that at the bar,

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Speaker 3: it's not a great pickup by nobody really cares. But

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Speaker 3: the record is now seven hundred and fifty eight. And

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Speaker 3: so they saw, you know, two hundred. I don't know

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Speaker 3: how to do math, but that's like a lot more

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Speaker 3: than we saw. And yeah, it's crazy. There's the fact

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Speaker 3: that there's people out there that saw that many more

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Speaker 3: than us. It's it's a passionate group.

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Speaker 2: And where did that five hundred sum get you on

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Speaker 2: the leaderboard?

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Speaker 3: Oh, that would be twenty third in the in the

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Speaker 3: United States?

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Speaker 2: Twenty third. That is very impressive. Now, if someone want

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Speaker 2: a trophy for that, there we go. If someone wanted

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Speaker 2: to get into birding but doesn't know where to start,

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Speaker 2: what advice would you give.

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Speaker 3: Them, I'd say, get the Merlin app It's great. The

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Speaker 3: Merlin apps so good. It's like helps for beginners. And

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Speaker 3: and then I would say just leave like the bucket

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Speaker 3: hat and the basket at home. You don't really need that.

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Speaker 3: The binoculars in the Marlin app.

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Speaker 2: Okay, very good. Uh Listers. A Glimpse into Extreme bird

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Speaker 2: Watching is available right now for free on YouTube. It's

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Speaker 2: a really fun documentary. Everyone should go watch it. Oh

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Speaker 2: and congrats on your big year and thanks for joining us.

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Speaker 3: Thanks guys.

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Speaker 1: You guys are all keeping up business opportunity out there too.

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Speaker 1: If you're not finding gals at the bar with your

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Speaker 1: bird list, you build the bar and they will come.

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Speaker 3: That's a good idea.

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Speaker 1: Yeah, for free, Thank you. That was awesome.

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Speaker 2: In the documentary, they also discover they get an old

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Speaker 2: birding book and it's got all these bird hotlines you

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Speaker 2: can call, and they call like fifty of the numbers,

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Speaker 2: only one is still working and it's in Ohio.

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Speaker 1: Uh.

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Speaker 2: And they learn after they're talking to the person on

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Speaker 2: this rare bird hotline who's giving them an update on

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Speaker 2: where to find some rare birds, that it's an Amish hotline,

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Speaker 2: which hit close to home because we know that our

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Speaker 2: podcasts are all available on an Amish hotline as well,

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Speaker 2: So shout out to the Amish folks. Who are dialing

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Speaker 2: into some phone number and learning about where the rare

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Speaker 2: birds are and listening to cal of the Wild.

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Speaker 1: It's citizen science. It's awesome.

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Speaker 2: It's great.

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Speaker 1: It's super cool.

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Speaker 3: Great.

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Speaker 2: Yeah, any birding interest from you too.

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Speaker 5: Well, I like to keep track of some of them

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Speaker 5: birding websites. If I'm trying to figure out where birds

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Speaker 5: that I would like to on our.

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Speaker 1: They do pop. That's a dirty, dirty little secret out there. Yeah.

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Speaker 1: Mark Kenyon and I we put the full on sneak

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Speaker 1: on some birds in the lasket when we were up

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Speaker 1: there in the Arctic Circle with the Merlin app, Mark

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Speaker 1: with his Merlin app fully extended, trying to get a

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Speaker 1: bird call to identify some birds that. I mean, that

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Speaker 1: was very fun.

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Speaker 2: Yeah.

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Speaker 6: Yeah, lost a camera feed here. I don't know what happened.

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Speaker 1: And that app.

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Speaker 6: You can keep talking every everybody can hear you, they

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Speaker 6: just can't see you.

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Speaker 1: I just busted it out the other day because we

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Speaker 1: had this this group of hawks that got really friendly

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Speaker 1: with our backyard. They were like tearing squirrels and stuff.

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Speaker 2: Open hawks.

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Speaker 1: Well that I was like, oh, it's a sharp shinned hawk.

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Speaker 1: And I'm like, oh no, it's a rough legged hawk.

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Speaker 1: And then finally I was like, oh, I got to

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Speaker 1: redownload the Marlin app and it's a Swainson's hawk okay,

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Speaker 1: and they were they were super cool. Yeah, I kind

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Speaker 1: of moved on.

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Speaker 2: My interest in verting is I don't like not knowing

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Speaker 2: what I'm looking at. If I'm like out in nature

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Speaker 2: deer hunting and see some bird I'm not familiar with,

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Speaker 2: it's annoying if I don't know, like the name of

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Speaker 2: that thing. Yeah, I don't like that.

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Speaker 1: It's also fun though, to like in the duck blind.

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Speaker 1: You know, people will be like, oh and I and

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Speaker 1: I just say bop b op, bird of prey.

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Speaker 2: Bop that that it's the message across we don't shoot

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Speaker 2: those right exactly.

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Speaker 5: That Merlin app is one of my favorite things ever.

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Speaker 5: In the springtime, when I'm turkey hunting, I'll just turn

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Speaker 5: that thing on and set it down next to me.

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Speaker 5: Is like the woods come alive and just like all

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Speaker 5: the different birds that pop out, Like just seeing how

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Speaker 5: many different birds I can get that is.

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Speaker 1: Yeah. The audio part is really amazing because for whatever

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Speaker 1: reason in my brain, it's gonna be like it's gonna

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Speaker 1: identify one bird, but it's all the noises. Yeah, which

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Speaker 1: is yeah, it's awesome. It's great.

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Speaker 2: Owen and his brother they try to trick the app

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Speaker 2: and like use a flute to play a bird call,

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Speaker 2: and they successfully do it. In one instance they're able

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Speaker 2: to replicate I don't remember what the bird is, but

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Speaker 2: they do it well enough to make Merlin think that

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Speaker 2: they are that bird.

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Speaker 1: Oh great, minds think alike. I tried to do that.

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Speaker 5: And then we were in Alaska one time bear hunt

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Speaker 5: with Clay Nukem, and we were trying to get him

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Speaker 5: to trick the.

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Speaker 1: Old bard out. Oh it worked, yeah, yeah, he was

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Speaker 1: able to trick it. Cool.

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Speaker 2: Yeah, yeah, I could give him a ribbon.

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Speaker 1: Yeah. I thought I had it right, the right shrill

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Speaker 1: for the Swainson's hawk, and you know it didn't work again.

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Speaker 2: Owen's documentary is called Listers. It's available on YouTube right now.

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Speaker 2: All right, our next segment is gear Talk.

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Speaker 1: Let's talk about gear.

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Speaker 6: Let's talk about let's talk about boots.

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Speaker 1: In behind those cano patterns with John.

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Speaker 4: D Let's talk about year. Let's knock about gear.

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Speaker 2: For gear Talk, each of us has a gear review

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Speaker 2: for you today. Seth start us off, all right, the.

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Speaker 1: Piece of gear I'm talking about today? Is this right here?

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Speaker 1: Ski goggles.

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Speaker 5: It's something that probably a lot of hunters don't think

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Speaker 5: about carrying with them.

414
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Speaker 2: No, you're not a skier, are you.

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Speaker 1: I've never skied before and I probably never will.

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Speaker 2: Not a snowboarder. Not a snowboarder.

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Speaker 1: God, that's that's a long time to go without skiing

418
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Speaker 1: for living in the Mountain West, the Inner Mountain West. Yeah,

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00:21:07,720 --> 00:21:10,560
Speaker 1: it's just I just do other things. Well, yeah, I

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Speaker 1: hear you. We were talking before the show started about

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Speaker 1: things that you end up having to do them as

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Speaker 1: an adult.

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Speaker 2: And I think at a certain points that it like

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Speaker 2: becomes a thing like I'm not a skier, I'm just

425
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Speaker 2: never going to ski, and so like, yeah, I'm just

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Speaker 2: like more incentive to not go skiing.

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Speaker 5: Oh, I've gotten to the point where I'm like, I'm

428
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Speaker 5: never gonna I'm never gonna invest in. Like I could

429
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Speaker 5: go buy a bunch of like rapple alures or something.

430
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Speaker 5: I'd rather do that than than buy skis whatever.

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Speaker 1: So why do you ski goggles investment?

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Speaker 5: How's your portfolio? I just got a bunch of still

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Speaker 5: in the box, So, uh, ski goggles. I use them

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Speaker 5: a lot of times in the winter, Like if there's

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Speaker 5: snow on the ground when I'm hunting and it's blowing snow.

436
00:22:01,080 --> 00:22:02,680
Speaker 1: Yeah, I'm tracking on that for sure.

437
00:22:03,640 --> 00:22:06,919
Speaker 5: Eastern Montana when it's super windy, no snow on the ground,

438
00:22:07,320 --> 00:22:10,919
Speaker 5: and you're just I one time was walking with the

439
00:22:10,960 --> 00:22:13,639
Speaker 5: wind at my back on a real windy day and

440
00:22:13,680 --> 00:22:16,080
Speaker 5: I was just in a bunch of dusty type ground

441
00:22:16,600 --> 00:22:18,960
Speaker 5: and like, let's catch you get like an eddy in

442
00:22:19,040 --> 00:22:22,280
Speaker 5: front of your face and you're just eating dust all day.

443
00:22:22,280 --> 00:22:25,440
Speaker 5: So yeah, ski goggles for that. And then anytime you're

444
00:22:25,480 --> 00:22:28,720
Speaker 5: on a skiff in colder weather or or rainy weather.

445
00:22:30,400 --> 00:22:34,919
Speaker 5: There's a picture on here Phil of me and a

446
00:22:34,960 --> 00:22:39,280
Speaker 5: skiff in Alaska wearing these same ski goggles. It was

447
00:22:39,520 --> 00:22:43,280
Speaker 5: it was raining, you know, ten minutes before this photo

448
00:22:43,359 --> 00:22:45,679
Speaker 5: was taken. We were on a blacktail on up in Alaska.

449
00:22:45,920 --> 00:22:46,960
Speaker 2: Keeping your forehead warm.

450
00:22:47,119 --> 00:22:49,840
Speaker 1: Yeah, just just I wear them all the time.

451
00:22:50,359 --> 00:22:53,320
Speaker 2: It's like, listen to Bubba Gump talk about shrimp over there, Yep,

452
00:22:53,680 --> 00:22:57,280
Speaker 2: ski goggles. Cow, where do you stand on ski goggles

453
00:22:57,280 --> 00:22:59,359
Speaker 2: for dogs when they're when they're hunting?

454
00:23:00,440 --> 00:23:05,440
Speaker 1: Boy, I I think they can be a good idea.

455
00:23:05,400 --> 00:23:06,520
Speaker 2: To snort every wear them.

456
00:23:06,960 --> 00:23:11,840
Speaker 1: No, you know, these seasons vary so much for us

457
00:23:11,920 --> 00:23:14,679
Speaker 1: when we were like really getting after it, the amount

458
00:23:14,680 --> 00:23:18,919
Speaker 1: of doctoring of her eyeballs that was going on every

459
00:23:19,040 --> 00:23:21,919
Speaker 1: day was pretty intense there for a while, and I

460
00:23:21,960 --> 00:23:25,840
Speaker 1: was like, I am gonna get this dog doggles as

461
00:23:26,080 --> 00:23:27,639
Speaker 1: as some call them.

462
00:23:27,359 --> 00:23:29,680
Speaker 2: And and is that are those made for dogs or

463
00:23:29,800 --> 00:23:31,160
Speaker 2: you just use like Seth's pair.

464
00:23:31,800 --> 00:23:34,240
Speaker 1: No, there's a couple of companies out there, you know.

465
00:23:34,359 --> 00:23:37,600
Speaker 1: And because it like started in the tactical world and

466
00:23:37,680 --> 00:23:41,480
Speaker 1: then of course became hip. You know, those tactical things

467
00:23:41,480 --> 00:23:43,840
Speaker 1: become so hip that we have to have them. But

468
00:23:44,840 --> 00:23:46,840
Speaker 1: and then, like you know, folks who use dogs for

469
00:23:46,960 --> 00:23:51,560
Speaker 1: crane hunts, it's good eye pro for them because cranes

470
00:23:51,600 --> 00:23:57,639
Speaker 1: can lash out at dogs eyeballs. But yeah, once you

471
00:23:57,680 --> 00:24:00,000
Speaker 1: get late in the season and your dog's been around

472
00:24:00,080 --> 00:24:05,560
Speaker 1: and hard through like sorgum and really abrasive grasses, they

473
00:24:05,560 --> 00:24:09,000
Speaker 1: lose all the hair around their eyeballs and then uh,

474
00:24:09,040 --> 00:24:12,600
Speaker 1: and their cheekbones and stuff start looking real, real tough,

475
00:24:13,240 --> 00:24:18,800
Speaker 1: and they just get a lot of seeds and dust and.

476
00:24:18,240 --> 00:24:20,840
Speaker 2: You're hunting around cat tails and those things explode.

477
00:24:20,960 --> 00:24:25,040
Speaker 1: Yeah, exactly. So it's not it's not like I don't

478
00:24:25,119 --> 00:24:28,840
Speaker 1: look at it and be likeugh, poser, like there's there's

479
00:24:28,880 --> 00:24:35,480
Speaker 1: a there's a legit use case and yeah, I mean

480
00:24:36,640 --> 00:24:40,960
Speaker 1: yeah yeah, it's not like your Weekend Warrior type of thing,

481
00:24:41,359 --> 00:24:43,280
Speaker 1: like dogs handle that stuff just fine.

482
00:24:43,119 --> 00:24:45,840
Speaker 2: You approve? Yeah, all right, cat, what are you reviewing

483
00:24:45,880 --> 00:24:46,560
Speaker 2: for gear talk?

484
00:24:48,160 --> 00:24:57,359
Speaker 1: Well, I had a couple of directions.

485
00:24:54,000 --> 00:24:58,160
Speaker 2: Deciding as he rifles through his blue jeans pockets right now,

486
00:24:59,080 --> 00:25:01,720
Speaker 2: we'll see what he's gonna pull out. Now he's looking

487
00:25:01,760 --> 00:25:06,119
Speaker 2: on the ground there it is his keys, his hoodie. No,

488
00:25:06,240 --> 00:25:07,199
Speaker 2: he's reaching past that.

489
00:25:07,800 --> 00:25:09,480
Speaker 4: To find something economical.

490
00:25:09,640 --> 00:25:14,080
Speaker 2: Okay, he set set his sunglasses. What do we got

491
00:25:14,119 --> 00:25:21,560
Speaker 2: in Calsh.

492
00:25:19,080 --> 00:25:24,680
Speaker 1: Phelps predator call? So I you know all my f

493
00:25:24,880 --> 00:25:28,199
Speaker 1: HF binal harnesses, of which I have three now orange,

494
00:25:28,240 --> 00:25:32,399
Speaker 1: one camel one another camel one, one set up for archery,

495
00:25:32,440 --> 00:25:36,240
Speaker 1: one set up for rifle. You know, I either have

496
00:25:36,520 --> 00:25:41,160
Speaker 1: a external read cow elk call or a predator call,

497
00:25:42,880 --> 00:25:46,840
Speaker 1: and they're they either one has year round applications because

498
00:25:46,880 --> 00:25:49,240
Speaker 1: you can use that external read cow call as a

499
00:25:49,280 --> 00:25:53,680
Speaker 1: predator call. But it's also good at just like stopping deer,

500
00:25:54,800 --> 00:25:58,000
Speaker 1: you know, like a pretty good ratio. If you bump something,

501
00:25:58,320 --> 00:25:59,720
Speaker 1: it'll stop and take a look, and you can do

502
00:25:59,720 --> 00:26:02,399
Speaker 1: the same thing with a predator call. Predator call, you

503
00:26:02,440 --> 00:26:04,439
Speaker 1: get like one shot at it, because if you refound

504
00:26:04,440 --> 00:26:06,040
Speaker 1: it too much, you can just blow all the deer

505
00:26:06,080 --> 00:26:06,800
Speaker 1: out of the country.

506
00:26:08,040 --> 00:26:09,879
Speaker 2: Give me an example of what it would sound like

507
00:26:09,880 --> 00:26:13,400
Speaker 2: if you were trying to stop a deer right now.

508
00:26:14,000 --> 00:26:14,879
Speaker 1: Oh, I just go.

509
00:26:16,359 --> 00:26:20,000
Speaker 2: Okay, that works, and yeah it can work.

510
00:26:21,320 --> 00:26:27,840
Speaker 1: But then for for bringing in the critters, I suggest

511
00:26:28,000 --> 00:26:32,600
Speaker 1: like crying like a baby, like in your brain. This

512
00:26:32,680 --> 00:26:34,159
Speaker 1: is how I do all my calling. I have like

513
00:26:34,359 --> 00:26:38,960
Speaker 1: the conversation in my head. Motivation, you could call it.

514
00:26:39,040 --> 00:26:43,760
Speaker 1: But I am like a baby human child left out

515
00:26:43,800 --> 00:26:53,280
Speaker 1: on the prairie, exposed to the elements that'll that'll get Yeah.

516
00:26:53,480 --> 00:26:57,560
Speaker 2: Yeah, I hunted with some very good predator hunters when

517
00:26:57,560 --> 00:27:00,840
Speaker 2: I worked at Peterson's Hunting magazine. And this is a

518
00:27:00,880 --> 00:27:03,560
Speaker 2: decade ago, and it was around the time when I

519
00:27:03,600 --> 00:27:07,440
Speaker 2: feel like e callers had hit their peak, like everyone

520
00:27:07,600 --> 00:27:09,919
Speaker 2: either had one or was about to get one. Uh,

521
00:27:10,200 --> 00:27:13,119
Speaker 2: and they had now flipped it to the other way

522
00:27:13,200 --> 00:27:15,800
Speaker 2: where they were like mouth calls are now the way

523
00:27:15,800 --> 00:27:19,240
Speaker 2: to go, because every coyote in the country has heard

524
00:27:19,359 --> 00:27:21,879
Speaker 2: that e call. Sequence of a dyeing jack rabbit or

525
00:27:21,880 --> 00:27:25,240
Speaker 2: the tweety bird whatever. So they liked the variety you

526
00:27:25,280 --> 00:27:27,160
Speaker 2: can give yourself with a mouth call.

527
00:27:27,359 --> 00:27:33,680
Speaker 1: Yep, I mean the variety in all things. I used

528
00:27:33,720 --> 00:27:36,119
Speaker 1: to just archery all count and used to be every

529
00:27:36,520 --> 00:27:40,520
Speaker 1: everything to me. For you know, in between live dogs

530
00:27:40,840 --> 00:27:43,080
Speaker 1: and that dead dog time, you get real obsessed with

531
00:27:43,200 --> 00:27:45,119
Speaker 1: the things that you're not normally doing when you have

532
00:27:45,280 --> 00:27:51,280
Speaker 1: good dogs. And I would buy I would often replace

533
00:27:51,440 --> 00:27:54,840
Speaker 1: my cow calls, but I would buy one brand new

534
00:27:55,119 --> 00:27:59,240
Speaker 1: cow call that I had never used before, just betting

535
00:27:59,240 --> 00:28:02,800
Speaker 1: on the fact that it's gonna have some pitch tone

536
00:28:03,600 --> 00:28:07,240
Speaker 1: that I wasn't currently in my repertoire and nobody else

537
00:28:07,320 --> 00:28:10,120
Speaker 1: was using. So like I used like a big woods

538
00:28:10,160 --> 00:28:14,760
Speaker 1: wise cal call that I found in some bargain bin someplace.

539
00:28:15,560 --> 00:28:17,720
Speaker 2: You felt like that didn't sound like much else that

540
00:28:17,800 --> 00:28:18,560
Speaker 2: dudes were blowing on.

541
00:28:18,800 --> 00:28:21,479
Speaker 1: Absolutely, yeah, yep was totally different.

542
00:28:21,640 --> 00:28:25,119
Speaker 2: Yeah, all right for gear talk today, I am reviewing

543
00:28:26,000 --> 00:28:29,320
Speaker 2: gas cans. I haven't owned a good gas can in

544
00:28:29,359 --> 00:28:32,920
Speaker 2: my adult life. The only good gas cans I've ever

545
00:28:33,040 --> 00:28:35,720
Speaker 2: used were pre two thousand and nine gas cans, which

546
00:28:35,760 --> 00:28:38,240
Speaker 2: is when the new EPA regulations went into effect and

547
00:28:38,280 --> 00:28:40,520
Speaker 2: I was trying to recently explain to someone that old

548
00:28:40,560 --> 00:28:42,760
Speaker 2: gas cans are something that sons are going to fight

549
00:28:42,800 --> 00:28:45,720
Speaker 2: over in the will someday, just because they were such

550
00:28:45,760 --> 00:28:49,680
Speaker 2: superior products, huh, like fifteen years ago. So here is

551
00:28:49,760 --> 00:28:52,280
Speaker 2: my plea to the audience. If you know about a

552
00:28:52,320 --> 00:28:55,400
Speaker 2: good gas can, email Radio at the mediater dot com

553
00:28:55,440 --> 00:28:58,040
Speaker 2: with the subject line gas can. I'm going to compile

554
00:28:58,120 --> 00:29:01,040
Speaker 2: your recommendations and then i will share them on the

555
00:29:01,080 --> 00:29:03,640
Speaker 2: next episode that I host in two weeks. There has

556
00:29:03,680 --> 00:29:05,840
Speaker 2: to be a good gas can on the market. Uh.

557
00:29:05,920 --> 00:29:08,440
Speaker 2: If you know what that is, please email me so

558
00:29:08,480 --> 00:29:11,000
Speaker 2: I can share that with everyone. Uh, and then we're

559
00:29:11,000 --> 00:29:12,760
Speaker 2: not going to be pissed off anymore when we have

560
00:29:12,840 --> 00:29:14,880
Speaker 2: to like fill the snowblower or the boat or the

561
00:29:14,920 --> 00:29:18,080
Speaker 2: side by side uh with gas. Again, that's Radio at

562
00:29:18,120 --> 00:29:21,680
Speaker 2: the meadeater dot com, subject line gas can. Do either

563
00:29:21,680 --> 00:29:23,719
Speaker 2: of you boys have a good gas can recommendation?

564
00:29:24,240 --> 00:29:27,200
Speaker 5: Well, my little hot tip is you buy a gas

565
00:29:27,240 --> 00:29:30,240
Speaker 5: can and they all come with the freaking BS safety.

566
00:29:30,600 --> 00:29:32,520
Speaker 2: That's which I'm two thousand and nine problems.

567
00:29:32,520 --> 00:29:35,400
Speaker 5: I've never spelt spilt more gas in my life. Agree

568
00:29:35,880 --> 00:29:36,960
Speaker 5: until they switched.

569
00:29:36,680 --> 00:29:37,320
Speaker 1: To that system.

570
00:29:37,400 --> 00:29:41,360
Speaker 2: Yeah, it's so true that that thing it like either

571
00:29:41,360 --> 00:29:43,280
Speaker 2: wants to give you all the gas or none of

572
00:29:43,280 --> 00:29:43,640
Speaker 2: the gas.

573
00:29:43,720 --> 00:29:46,560
Speaker 5: Yeah, but you can go to like a hardware store

574
00:29:46,640 --> 00:29:49,120
Speaker 5: or something and buy like or go on Amazon or

575
00:29:49,120 --> 00:29:55,240
Speaker 5: whatever and buy like aftermarket gas can nozzles that are

576
00:29:55,320 --> 00:29:56,840
Speaker 5: just like, doesn't have all the bs.

577
00:29:56,920 --> 00:29:58,000
Speaker 2: Maybe that's the hot tip.

578
00:29:58,080 --> 00:30:02,400
Speaker 1: Yeah for whatever he's in. The high volume cans never work.

579
00:30:03,160 --> 00:30:06,480
Speaker 1: But I have a low volume you know, it's like

580
00:30:06,520 --> 00:30:10,320
Speaker 1: a half gallon four that I just towed around for

581
00:30:10,400 --> 00:30:12,280
Speaker 1: the generator. When I throw it in the in the

582
00:30:12,320 --> 00:30:18,880
Speaker 1: camper and that's got the weird like no drip plunger.

583
00:30:19,400 --> 00:30:21,280
Speaker 1: Oh you know, you hook it on the edge and yeah,

584
00:30:21,360 --> 00:30:26,040
Speaker 1: oh yeah, yeah, and that thing works great until it

585
00:30:26,240 --> 00:30:28,520
Speaker 1: sticks on occasion and then you're just like I had

586
00:30:28,520 --> 00:30:29,520
Speaker 1: this happened the other day.

587
00:30:29,640 --> 00:30:32,400
Speaker 5: Yeah, I had some gas in the gas can that

588
00:30:32,560 --> 00:30:34,640
Speaker 5: I was like, if it's probably gonna sit here for

589
00:30:34,680 --> 00:30:36,320
Speaker 5: a while, so I'm just gonna dump it in my truck.

590
00:30:36,440 --> 00:30:36,680
Speaker 1: Huh.

591
00:30:36,960 --> 00:30:40,040
Speaker 2: That way it gets used and I'm frightened to put

592
00:30:40,040 --> 00:30:41,880
Speaker 2: gas in my truck with any of my gas.

593
00:30:41,920 --> 00:30:44,520
Speaker 5: Half of it went down the side of my truck

594
00:30:44,600 --> 00:30:46,800
Speaker 5: and made a big old puddle on the sidewalk.

595
00:30:47,000 --> 00:30:49,960
Speaker 2: Yeah, someone listening though they know about what the best

596
00:30:50,000 --> 00:30:51,960
Speaker 2: gas can is. Maybe it's like twenty of.

597
00:30:51,880 --> 00:30:55,960
Speaker 6: You guess Vermont millennial homesteaders is suggesting stends no spill,

598
00:30:57,640 --> 00:30:59,600
Speaker 6: that can build up some pressure when you first open.

599
00:31:00,080 --> 00:31:03,400
Speaker 2: Okay again radio at the meat eater dot com subject

600
00:31:03,440 --> 00:31:04,280
Speaker 2: line gas can.

601
00:31:04,400 --> 00:31:06,280
Speaker 1: It makes you feel like you're kind of dying a

602
00:31:06,360 --> 00:31:08,200
Speaker 1: tragic gasoline fight accident.

603
00:31:08,640 --> 00:31:11,360
Speaker 2: Yes. If I was running for president, this is something

604
00:31:11,360 --> 00:31:14,040
Speaker 2: I'd campaign on as old gas cans, and I think

605
00:31:14,320 --> 00:31:16,520
Speaker 2: that issue alone would win me a few states.

606
00:31:16,760 --> 00:31:18,800
Speaker 1: Oh, I guarantee what people want.

607
00:31:19,040 --> 00:31:20,239
Speaker 2: People want a good gas can.

608
00:31:20,360 --> 00:31:22,080
Speaker 1: Yeah. And then you can be like, and what's the

609
00:31:22,120 --> 00:31:26,000
Speaker 1: deal with these new six pack holders? Can't we go

610
00:31:26,080 --> 00:31:27,040
Speaker 1: back to the old.

611
00:31:27,560 --> 00:31:30,920
Speaker 2: That'd give me a couple more states? All right, let's

612
00:31:30,960 --> 00:31:33,400
Speaker 2: take a break for some listener feedback. Phill, what's the

613
00:31:33,480 --> 00:31:34,200
Speaker 2: chat have to say?

614
00:31:34,280 --> 00:31:37,680
Speaker 6: The Titus asks, Hey, Cal, have you ever chucker hunted

615
00:31:37,720 --> 00:31:39,840
Speaker 6: in Montana? Or heard of anyone doing it?

616
00:31:41,440 --> 00:31:44,520
Speaker 1: Uh? Yeah, chucker are listed as a game bird in

617
00:31:44,560 --> 00:31:49,440
Speaker 1: the state of Montana. Have you ever done it? No?

618
00:31:51,560 --> 00:31:52,520
Speaker 2: Little devil birds?

619
00:31:53,400 --> 00:31:56,240
Speaker 6: All right, Nate is asking for a good venison breakfast

620
00:31:56,240 --> 00:31:58,920
Speaker 6: sausage recipe. Last attempt was a seventy five twenty five

621
00:31:59,000 --> 00:32:01,080
Speaker 6: mix with some pre made country sausage.

622
00:32:01,280 --> 00:32:04,440
Speaker 2: Nate, we have a recipe on our website. It's literally

623
00:32:04,480 --> 00:32:07,800
Speaker 2: called the only breakfast sausage recipe that You'll ever need.

624
00:32:07,840 --> 00:32:11,320
Speaker 2: It's from Danielle Pruitt. Go check that out and make

625
00:32:11,360 --> 00:32:14,000
Speaker 2: that your starting base, and then if you want to

626
00:32:14,040 --> 00:32:16,520
Speaker 2: make adjustments from there, Like it needs more fenel, needs

627
00:32:16,520 --> 00:32:19,040
Speaker 2: a little more spice. I think try to start with

628
00:32:19,080 --> 00:32:21,440
Speaker 2: that recipe and see where that gets you. Seth cal

629
00:32:22,080 --> 00:32:22,840
Speaker 2: I think that's great.

630
00:32:23,080 --> 00:32:27,160
Speaker 1: I like sage is like the only ingredient and breakfast

631
00:32:27,160 --> 00:32:31,440
Speaker 1: sausage that like, like I want in my breakfast sausage.

632
00:32:32,440 --> 00:32:35,520
Speaker 5: Yeah, I've I've made breakfast sausage a couple of times

633
00:32:35,520 --> 00:32:38,160
Speaker 5: and just never turned out like I wanted it to.

634
00:32:38,480 --> 00:32:42,640
Speaker 2: Danielle Pruitt's recipe, the only Venison breakfast sausage recipe you need.

635
00:32:42,840 --> 00:32:48,560
Speaker 1: Danielle is is just very very pro like she tests

636
00:32:48,600 --> 00:32:52,840
Speaker 1: everything and you know, she's like again professional, Yeah, very good.

637
00:32:53,000 --> 00:32:55,920
Speaker 6: Yeah, Kegan, this is a question for Seth, I'd say,

638
00:32:56,320 --> 00:32:58,840
Speaker 6: asks what battery slash tricks does the crew use to

639
00:32:58,920 --> 00:33:01,840
Speaker 6: keep camera equipment charged throughout long hunts.

640
00:33:02,880 --> 00:33:06,800
Speaker 5: Uh, carry a lot of batteries. Yeah, there's not a

641
00:33:06,840 --> 00:33:09,080
Speaker 5: whole lot you can do out there as far as charging.

642
00:33:09,120 --> 00:33:13,040
Speaker 5: I mean some it depends some spots. Like if we

643
00:33:13,080 --> 00:33:15,320
Speaker 5: get flown in somewhere and we have like a plane

644
00:33:15,440 --> 00:33:17,920
Speaker 5: we can haul year, we'll like drop a generator at

645
00:33:17,920 --> 00:33:22,000
Speaker 5: a spot, and like we've done that in Alaska where

646
00:33:22,160 --> 00:33:23,840
Speaker 5: we can like after a couple of days, come back

647
00:33:23,880 --> 00:33:24,400
Speaker 5: and charge.

648
00:33:24,480 --> 00:33:28,880
Speaker 1: But it's just like on a on a long hunt

649
00:33:28,920 --> 00:33:31,240
Speaker 1: when you don't have any.

650
00:33:31,080 --> 00:33:33,200
Speaker 5: Access to charging stuff, you just got to carry a

651
00:33:33,240 --> 00:33:34,080
Speaker 5: bunch of batteries.

652
00:33:34,360 --> 00:33:37,680
Speaker 2: The cold obviously messes with your batteries. Does the heat

653
00:33:38,040 --> 00:33:40,640
Speaker 2: mess with your batteries as well? Well?

654
00:33:40,720 --> 00:33:42,040
Speaker 1: They know I've never had heat.

655
00:33:42,240 --> 00:33:45,280
Speaker 5: I've had heat mess with cameras, just overheating cameras, but

656
00:33:45,360 --> 00:33:46,160
Speaker 5: not batteries.

657
00:33:46,240 --> 00:33:47,920
Speaker 2: I just feel like my cell phone doesn't like to

658
00:33:48,000 --> 00:33:50,600
Speaker 2: charge if it's too hot. Yeah, it wasn't sure if

659
00:33:50,600 --> 00:33:52,560
Speaker 2: your your camera had similar issues.

660
00:33:52,640 --> 00:33:55,360
Speaker 1: I've never run into that. No, there were all these

661
00:33:55,440 --> 00:34:01,720
Speaker 1: rechargeable batteries. They all just slowly degenerate over time. So

662
00:34:01,800 --> 00:34:09,160
Speaker 1: even if you're stockpiling fresh batteries, if you're on day seven, eight, whatever,

663
00:34:09,960 --> 00:34:13,680
Speaker 1: you pop that thing in and it's gonna be twenty

664
00:34:14,880 --> 00:34:17,560
Speaker 1: under what they say it should be, right, don't you think? Yeah?

665
00:34:17,760 --> 00:34:20,319
Speaker 5: Yeah, so yeah, And like you said, if it's cold,

666
00:34:20,360 --> 00:34:22,000
Speaker 5: it's just a whole different story.

667
00:34:22,400 --> 00:34:26,160
Speaker 1: Phil, Let's do one more uh sure thing.

668
00:34:26,360 --> 00:34:29,600
Speaker 6: Brad asks, what's the most disappointing loss of meat you've

669
00:34:29,640 --> 00:34:32,240
Speaker 6: had due to spoilage or a broken freezer?

670
00:34:33,320 --> 00:34:34,640
Speaker 1: Mm hmmmm Uh.

671
00:34:34,800 --> 00:34:36,640
Speaker 2: For me, it was I killed the deer a few

672
00:34:36,760 --> 00:34:39,959
Speaker 2: years ago in Wyoming that had CWD. So that wasn't

673
00:34:40,000 --> 00:34:43,760
Speaker 2: spoilage or a broken freezer. But like I had gotten

674
00:34:43,960 --> 00:34:46,479
Speaker 2: all the boneless meat home, it was ready to uh

675
00:34:47,000 --> 00:34:49,600
Speaker 2: to get like put away nicely in the freezer and

676
00:34:50,600 --> 00:34:53,040
Speaker 2: be eaten and processed. And then well yeah, when the

677
00:34:53,080 --> 00:34:57,640
Speaker 2: CWD came back positive, uh, it just went into a landfill.

678
00:34:57,800 --> 00:35:00,279
Speaker 2: No one in the office was interested in giving it

679
00:35:00,320 --> 00:35:02,279
Speaker 2: to their dogs. I don't. I don't blame them. So

680
00:35:02,360 --> 00:35:04,719
Speaker 2: that was that was a bummer to lose a deer

681
00:35:04,719 --> 00:35:09,520
Speaker 2: to CWD. What do you guys got, I'm trying.

682
00:35:09,640 --> 00:35:13,080
Speaker 1: I never lost a freezer, knock on wood. I lost

683
00:35:13,360 --> 00:35:17,800
Speaker 1: a Yeah, I mean, the most disappointing by far and away.

684
00:35:18,239 --> 00:35:20,520
Speaker 1: I was gonna this just a funny story. Popped in

685
00:35:20,560 --> 00:35:26,560
Speaker 1: my head when we were like very very poor dirt

686
00:35:26,640 --> 00:35:29,600
Speaker 1: bag college kids. I was like guiding and building houses

687
00:35:29,640 --> 00:35:33,400
Speaker 1: and going to school and and my mom gave me

688
00:35:33,560 --> 00:35:38,759
Speaker 1: like a five bone rib roast for it must have

689
00:35:38,840 --> 00:35:44,480
Speaker 1: been my birthday, so a prime rib, beef fatty beef,

690
00:35:44,600 --> 00:35:50,880
Speaker 1: prime rib. And somebody unplugged the freezer, probably to do

691
00:35:51,000 --> 00:35:54,319
Speaker 1: something stupid, and never plugged it back in. And I

692
00:35:54,360 --> 00:35:58,359
Speaker 1: had antelope in there too, and that that was just

693
00:35:58,440 --> 00:36:02,560
Speaker 1: like a horrible gut punch at that time in life.

694
00:36:02,600 --> 00:36:05,120
Speaker 1: And I called Montana Fish Wildlife in Parks and was like, Hey,

695
00:36:05,120 --> 00:36:09,920
Speaker 1: I'm gonna dump a bunch of game meat and landfill

696
00:36:10,080 --> 00:36:14,480
Speaker 1: wanted to let you know about that, and they're like, oh, okay,

697
00:36:14,520 --> 00:36:17,400
Speaker 1: and they recorded it, so I would get dinged with

698
00:36:17,440 --> 00:36:19,839
Speaker 1: wanton waste and guys like, so, You're just gonna toss

699
00:36:19,880 --> 00:36:23,560
Speaker 1: the whole freezer. I was like, no, no, I'm cleaning

700
00:36:23,600 --> 00:36:26,560
Speaker 1: it out, and yeah it was, but it was gross.

701
00:36:26,600 --> 00:36:28,520
Speaker 1: It was like five inches of blood in the bottom

702
00:36:28,520 --> 00:36:32,080
Speaker 1: of that thing, stinky blood. And then I lost a

703
00:36:32,239 --> 00:36:34,719
Speaker 1: bowl elk in New Mexico a handful of years ago.

704
00:36:34,760 --> 00:36:37,560
Speaker 1: It was the only time I've personally had at that

705
00:36:37,640 --> 00:36:39,480
Speaker 1: point It was the only time I personally had had

706
00:36:39,520 --> 00:36:47,839
Speaker 1: a elk tag in New Mexico and made what turned

707
00:36:47,880 --> 00:36:50,400
Speaker 1: out to be a good shot on this bowl, but

708
00:36:50,719 --> 00:36:54,360
Speaker 1: I was so convinced it was a bad shot. I

709
00:36:54,440 --> 00:37:01,719
Speaker 1: kind of talked myself out of really proper really following

710
00:37:01,760 --> 00:37:06,120
Speaker 1: this thing up, even though I'd done ninety five percent

711
00:37:06,160 --> 00:37:08,759
Speaker 1: of the work. And it was it was a horrific

712
00:37:10,239 --> 00:37:16,000
Speaker 1: loss of the meat, and just challenged to myself of like,

713
00:37:17,040 --> 00:37:19,800
Speaker 1: you know better, you always do better. Why'd you stop

714
00:37:19,880 --> 00:37:21,000
Speaker 1: this time? It was horrible?

715
00:37:21,080 --> 00:37:22,160
Speaker 2: Was there any meat recovered?

716
00:37:22,640 --> 00:37:25,720
Speaker 1: Zero? Yeah? I mean it was like one hundred degree

717
00:37:26,440 --> 00:37:32,920
Speaker 1: New Mexico hunt and yeah, man, I mean I basically

718
00:37:32,960 --> 00:37:37,560
Speaker 1: processed that whole thing like going something on here is

719
00:37:37,600 --> 00:37:40,920
Speaker 1: going to be good, and it was just wasn't just

720
00:37:41,040 --> 00:37:42,719
Speaker 1: all sour? Yeah.

721
00:37:42,880 --> 00:37:45,200
Speaker 5: A few years back, I was hunting Nebraska for white

722
00:37:45,200 --> 00:37:50,719
Speaker 5: tails and shot a buck with my bow and I

723
00:37:51,440 --> 00:37:55,319
Speaker 5: ended up getting one lung in liver, but it like

724
00:37:55,440 --> 00:37:59,120
Speaker 5: ran off into the scornfield, and I waited a couple hours,

725
00:37:59,360 --> 00:38:02,480
Speaker 5: and then after the morning hunt went in there ended

726
00:38:02,560 --> 00:38:06,759
Speaker 5: up jumping that buck. He was still alive and it

727
00:38:06,920 --> 00:38:10,319
Speaker 5: ran into the corn more and and I was like,

728
00:38:10,360 --> 00:38:12,880
Speaker 5: I'm gonna wait till just back out, wait till the

729
00:38:12,880 --> 00:38:18,319
Speaker 5: next day. Went back in there the next morning, and

730
00:38:20,760 --> 00:38:23,600
Speaker 5: I went and sat in the tree stand that morning

731
00:38:24,480 --> 00:38:27,000
Speaker 5: just to see what happened, you know, what was going on,

732
00:38:27,200 --> 00:38:30,440
Speaker 5: and then got down. I was with some buddies too,

733
00:38:30,480 --> 00:38:33,840
Speaker 5: So after the morning hunt, got down and started looking

734
00:38:33,880 --> 00:38:38,600
Speaker 5: for this buck. And I noticed like some bald eagles

735
00:38:38,600 --> 00:38:41,440
Speaker 5: and crows sitting in this tree along the cornfield. Like

736
00:38:41,520 --> 00:38:44,600
Speaker 5: made a mental note of that. And that morning I

737
00:38:44,600 --> 00:38:47,160
Speaker 5: had heard coyotes yepping over in that area too, and

738
00:38:47,200 --> 00:38:51,400
Speaker 5: I walked over there and just found the buck and

739
00:38:51,520 --> 00:38:55,520
Speaker 5: it was like devoured by kyo, pooped on and devoured yep,

740
00:38:56,360 --> 00:38:59,799
Speaker 5: like in twenty four hours, just completely devoured. What we

741
00:38:59,800 --> 00:39:01,879
Speaker 5: got some neck meat, a little bit of backstrap off

742
00:39:01,920 --> 00:39:03,120
Speaker 5: of it, but no fun.

743
00:39:03,200 --> 00:39:07,480
Speaker 2: Yeah, all right, Moving on. Our next segment is Throwback Thursday.

744
00:39:08,640 --> 00:39:11,479
Speaker 1: Go back on a Thursday month.

745
00:39:13,200 --> 00:39:19,399
Speaker 6: Take me back in nineteen seventy four, go back, I

746
00:39:19,440 --> 00:39:21,200
Speaker 6: can't believe it.

747
00:39:21,760 --> 00:39:24,799
Speaker 4: Break old s.

748
00:39:26,560 --> 00:39:29,480
Speaker 2: Throwback Thursdays where we look at old hunting and fishing

749
00:39:29,520 --> 00:39:31,719
Speaker 2: pictures of the crew cow start us off?

750
00:39:33,239 --> 00:39:34,040
Speaker 1: What picture?

751
00:39:34,680 --> 00:39:34,879
Speaker 2: Did?

752
00:39:34,920 --> 00:39:39,000
Speaker 1: Phil said? Okay, here we go, just way back in

753
00:39:39,080 --> 00:39:41,560
Speaker 1: my youth. Look at that how long? Look at that

754
00:39:41,600 --> 00:39:44,840
Speaker 1: well still well, you can see the male pattern baldness,

755
00:39:44,960 --> 00:39:50,200
Speaker 1: but it was still still rocking some hair. This would

756
00:39:50,239 --> 00:39:55,640
Speaker 1: have been probably two thousand and nine, two thousand, yeah,

757
00:39:55,880 --> 00:39:57,120
Speaker 1: right in there, two thousand and nine.

758
00:39:57,200 --> 00:40:00,920
Speaker 2: I bet gas were still good.

759
00:40:01,040 --> 00:40:04,759
Speaker 1: Back gas cans were still good. This is in the

760
00:40:04,800 --> 00:40:08,960
Speaker 1: Bob Marshall. That's the cabin at Cabin Creek. And we

761
00:40:08,960 --> 00:40:12,800
Speaker 1: were in there hunting grizzly bears for a combined grizzly

762
00:40:12,800 --> 00:40:18,480
Speaker 1: bear study. And those are two old now dead dogs,

763
00:40:18,480 --> 00:40:23,560
Speaker 1: Scout and Fish, the big Fish and Scout real good dogs.

764
00:40:23,600 --> 00:40:27,879
Speaker 1: And we we got charged by a grizzly bear on

765
00:40:27,920 --> 00:40:31,640
Speaker 1: this one. And this was like a light charge, like

766
00:40:32,320 --> 00:40:35,359
Speaker 1: we were both very startled to see each other. And

767
00:40:35,640 --> 00:40:38,799
Speaker 1: he bailed off the hill and probably stopped at like

768
00:40:38,840 --> 00:40:41,400
Speaker 1: the fifty yard mark and then spun and bailed. But

769
00:40:41,920 --> 00:40:42,879
Speaker 1: giant grizzly bear.

770
00:40:44,160 --> 00:40:46,200
Speaker 2: How many bears have you been charged by in your life?

771
00:40:46,280 --> 00:40:46,520
Speaker 1: Three?

772
00:40:47,600 --> 00:40:48,399
Speaker 2: Was this number one?

773
00:40:48,600 --> 00:40:49,480
Speaker 1: This was number two?

774
00:40:50,480 --> 00:40:55,080
Speaker 6: Hello, Kinn calls me for Krinn. This show has been

775
00:40:55,080 --> 00:40:57,400
Speaker 6: going on for over a year at the same time,

776
00:40:57,520 --> 00:41:00,880
Speaker 6: the same day of the week, and Krinn has been idea.

777
00:41:02,560 --> 00:41:06,080
Speaker 6: So it's Karin I love you, figure out the schedule.

778
00:41:06,560 --> 00:41:10,279
Speaker 2: She wants to participate and maybe answer Phil and she's

779
00:41:10,280 --> 00:41:11,279
Speaker 2: got Maybe she's just.

780
00:41:11,239 --> 00:41:13,239
Speaker 1: Excited because of that handsome dude up there on the

781
00:41:14,719 --> 00:41:19,840
Speaker 1: It was but the cool deal. So we did the

782
00:41:19,880 --> 00:41:22,680
Speaker 1: rest of our big, huge loop that day and then

783
00:41:22,840 --> 00:41:27,480
Speaker 1: came back at the end of the you know, in

784
00:41:27,480 --> 00:41:32,239
Speaker 1: the waning hours of the night, and the cabin and

785
00:41:32,360 --> 00:41:36,759
Speaker 1: the outhouse and everything had been rubbed by I can

786
00:41:36,800 --> 00:41:40,480
Speaker 1: only assume that bear because that would make it more powerful.

787
00:41:41,360 --> 00:41:44,680
Speaker 1: But so I had big grisk scratches down the doors

788
00:41:45,760 --> 00:41:49,239
Speaker 1: and then uh you could we were pulling hair off

789
00:41:49,480 --> 00:41:50,880
Speaker 1: the logs and stuff.

790
00:41:50,920 --> 00:41:53,399
Speaker 2: But I was subjective to get in there, you think.

791
00:41:53,520 --> 00:41:56,359
Speaker 1: I think his objective was to be like, I wasn't

792
00:41:56,400 --> 00:41:59,719
Speaker 1: that scared. I swear to God and this is my

793
00:42:00,080 --> 00:42:03,719
Speaker 1: area because I mean it was early spring. You can't

794
00:42:03,760 --> 00:42:06,239
Speaker 1: tell by that photo, but you know it was like

795
00:42:06,280 --> 00:42:08,719
Speaker 1: we were the only people in there. All the all

796
00:42:08,760 --> 00:42:11,160
Speaker 1: the passes were all snowed over and stuff. It was

797
00:42:11,880 --> 00:42:14,600
Speaker 1: pretty spectacular, very good failure.

798
00:42:14,680 --> 00:42:16,320
Speaker 2: Up next for throwback there is they would.

799
00:42:16,400 --> 00:42:19,080
Speaker 6: Geez, okay, here we go. This was tough for me.

800
00:42:20,440 --> 00:42:23,080
Speaker 6: I was just telling Spencer, my mom is in Europe,

801
00:42:23,080 --> 00:42:26,120
Speaker 6: and I texted her to send me pictures because.

802
00:42:26,120 --> 00:42:27,560
Speaker 1: I do not have any.

803
00:42:27,760 --> 00:42:33,839
Speaker 6: So this is That is Mount Adams in Washington State.

804
00:42:33,920 --> 00:42:37,840
Speaker 6: This is Taclac Lake in the Gifford Pinchot National Forest

805
00:42:38,440 --> 00:42:40,799
Speaker 6: between the mounta Saint Helens and Mount Adams. This is

806
00:42:40,840 --> 00:42:43,560
Speaker 6: kind of our go to camping spot growing up. I

807
00:42:43,560 --> 00:42:46,120
Speaker 6: think this is probably two thousand and five. If I

808
00:42:46,160 --> 00:42:50,479
Speaker 6: had to say, there's me on the right there looking good,

809
00:42:51,400 --> 00:42:56,759
Speaker 6: Wait which one are you? And then the mariners hat. Yeah,

810
00:42:57,000 --> 00:42:59,640
Speaker 6: me's just I mean obviously gorgeous view of the mountain.

811
00:43:00,080 --> 00:43:02,520
Speaker 6: And then we do some fishing here and there's my

812
00:43:02,600 --> 00:43:04,000
Speaker 6: gene shorts and my Star.

813
00:43:03,880 --> 00:43:05,760
Speaker 2: Wars give us a fishing report.

814
00:43:06,280 --> 00:43:08,439
Speaker 6: Well that's that was my next point. If you see

815
00:43:08,440 --> 00:43:11,040
Speaker 6: in all of these pictures it's just me with a rod.

816
00:43:11,160 --> 00:43:13,040
Speaker 6: I actually don't have any fish in my hands.

817
00:43:13,040 --> 00:43:13,600
Speaker 1: Why is that?

818
00:43:13,760 --> 00:43:15,719
Speaker 6: I couldn't tell you. You know, you can you can

819
00:43:15,800 --> 00:43:17,000
Speaker 6: do the investigating yourself.

820
00:43:17,040 --> 00:43:18,279
Speaker 1: Huh.

821
00:43:18,320 --> 00:43:20,719
Speaker 6: But yeah, this is These are the only pictures I

822
00:43:20,719 --> 00:43:24,759
Speaker 6: think I have of me fishing at all growing up.

823
00:43:25,360 --> 00:43:27,879
Speaker 6: So you didn't stick with it, Phil, I didn't stick

824
00:43:27,920 --> 00:43:30,960
Speaker 6: with it. I I enjoyed it, uh plenty. But you

825
00:43:30,960 --> 00:43:34,320
Speaker 6: know camping was time for me to to hike and canoe.

826
00:43:34,440 --> 00:43:36,200
Speaker 6: I didn't I didn't really want to touch the icky

827
00:43:36,200 --> 00:43:37,080
Speaker 6: fish that was my.

828
00:43:37,280 --> 00:43:39,919
Speaker 1: I got to say age very well, Phil, Oh that's

829
00:43:40,280 --> 00:43:40,919
Speaker 1: yeah yeah.

830
00:43:41,200 --> 00:43:43,120
Speaker 2: And do you appear to be holding the fishing rod

831
00:43:43,160 --> 00:43:46,080
Speaker 2: the right way? Which I just witnessed some folks in

832
00:43:46,160 --> 00:43:50,879
Speaker 2: Northern California, Northern California this last weekend not even having

833
00:43:50,920 --> 00:43:52,879
Speaker 2: that step right, spinning reel up.

834
00:43:53,080 --> 00:43:54,960
Speaker 1: Yes, oh yeah, you hate to see.

835
00:43:54,760 --> 00:43:57,360
Speaker 2: It, which we also had folks sending us I don't know,

836
00:43:57,360 --> 00:43:59,680
Speaker 2: probably a year or two ago in a sporting good

837
00:43:59,760 --> 00:44:03,719
Speaker 2: store printable ad that someone was holding a fishing rod

838
00:44:03,800 --> 00:44:06,720
Speaker 2: wrong in the Oh sad.

839
00:44:06,600 --> 00:44:08,200
Speaker 6: But yeah, I think they I think they stocked that

840
00:44:08,200 --> 00:44:12,160
Speaker 6: that lake with rainbows. But there's some some cut throat

841
00:44:12,200 --> 00:44:13,920
Speaker 6: in there as well. And I know this because I

842
00:44:13,960 --> 00:44:18,080
Speaker 6: just looked it up on the Scanania County, Washington Department

843
00:44:18,120 --> 00:44:19,560
Speaker 6: of Fish and Wildlife website.

844
00:44:20,400 --> 00:44:24,640
Speaker 2: Good, now we know Phil's street cred for fishing it.

845
00:44:24,760 --> 00:44:25,960
Speaker 6: It's not non existent.

846
00:44:26,960 --> 00:44:30,840
Speaker 2: All right, I'm gonna go next. This is me probably

847
00:44:30,880 --> 00:44:33,440
Speaker 2: like nineteen ninety five, nineteen ninety six, three or four

848
00:44:33,520 --> 00:44:38,080
Speaker 2: years old, and I am at Merriweather Marine in Yankton,

849
00:44:38,200 --> 00:44:41,200
Speaker 2: South Dakota. Meriweather Marine is a boat shop and one

850
00:44:41,200 --> 00:44:43,759
Speaker 2: time they had a motor that they were working on

851
00:44:43,800 --> 00:44:46,880
Speaker 2: where they found a bowl snake wrapped around the prop.

852
00:44:47,400 --> 00:44:50,359
Speaker 2: And that snake's name was Bumpy. The thing had had

853
00:44:50,400 --> 00:44:53,759
Speaker 2: a messed up skeleton, it couldn't move correctly. I don't

854
00:44:53,800 --> 00:44:55,799
Speaker 2: think they felt good about releasing it again, so they

855
00:44:55,920 --> 00:44:59,600
Speaker 2: kept this snake as a pet, and whenever we were

856
00:44:59,640 --> 00:45:02,040
Speaker 2: in yank I would go, uh, see the thing and

857
00:45:02,320 --> 00:45:04,240
Speaker 2: hang out with uh with Bumpy.

858
00:45:04,640 --> 00:45:05,120
Speaker 1: Uh.

859
00:45:04,920 --> 00:45:08,239
Speaker 2: The ironic thing is is I hate snakes now. I

860
00:45:08,239 --> 00:45:10,960
Speaker 2: don't know what happened between this moment and that moment

861
00:45:11,520 --> 00:45:14,759
Speaker 2: where I could like happily handle a bull snake. And

862
00:45:14,800 --> 00:45:17,120
Speaker 2: now if I am walking out in the woods mushroom

863
00:45:17,160 --> 00:45:19,560
Speaker 2: hunting and I see one ten feet away slithering away

864
00:45:19,560 --> 00:45:22,520
Speaker 2: from me who's clearly scared, I will just get shivers

865
00:45:22,840 --> 00:45:27,840
Speaker 2: up and down my whole box. I can't explain it.

866
00:45:27,840 --> 00:45:32,000
Speaker 2: It makes me feel the worst. One that I like,

867
00:45:32,560 --> 00:45:36,960
Speaker 2: I'm scared, and then two that I don't like that

868
00:45:37,040 --> 00:45:39,960
Speaker 2: I feel scared over a dang snake who doesn't want

869
00:45:40,000 --> 00:45:44,080
Speaker 2: anything to do with me. Yes, but back then I

870
00:45:44,200 --> 00:45:45,759
Speaker 2: was all about it. I was. I was a big

871
00:45:45,800 --> 00:45:47,040
Speaker 2: fan of Bumpy, so we'd.

872
00:45:46,840 --> 00:45:49,440
Speaker 1: Go hct A multiple ranges.

873
00:45:49,600 --> 00:45:53,640
Speaker 2: Yeah, yeah, it's it's totally unreasonable, but I did not

874
00:45:53,920 --> 00:45:56,080
Speaker 2: possess that fear at that moment.

875
00:45:57,000 --> 00:45:59,920
Speaker 1: Yeah, that's that's a good memory, man, that's Americannor.

876
00:46:01,520 --> 00:46:03,279
Speaker 2: I'm not gonna ey whether marine make.

877
00:46:03,200 --> 00:46:08,719
Speaker 1: The same comment I made about Phil, but the I

878
00:46:08,760 --> 00:46:12,880
Speaker 1: get the same like mammalian reflex. You know, I'm danger

879
00:46:13,280 --> 00:46:16,280
Speaker 1: about a snake. Yeah, but then I'm like, I'm gonna

880
00:46:16,280 --> 00:46:19,239
Speaker 1: catch it or I think that's built in.

881
00:46:19,440 --> 00:46:23,520
Speaker 2: Yeah, I would. I would like to be interested in

882
00:46:23,560 --> 00:46:26,279
Speaker 2: them enough to like pick one up and really mess

883
00:46:26,360 --> 00:46:28,520
Speaker 2: with the thing before letting it go, because I have

884
00:46:28,600 --> 00:46:33,040
Speaker 2: that instinct with frogs and salamanders, like totally love handling

885
00:46:33,040 --> 00:46:36,280
Speaker 2: them and encountering them. Not snakes though. All right, Phil,

886
00:46:36,400 --> 00:46:38,440
Speaker 2: or excuse me, Seth, Seth, you are last. What do

887
00:46:38,440 --> 00:46:39,680
Speaker 2: you got for throwback Thursday?

888
00:46:40,400 --> 00:46:45,759
Speaker 5: Oh? Let's see, we have three generations of morses here.

889
00:46:47,160 --> 00:46:50,000
Speaker 5: This is on my grand my grandfather on the left

890
00:46:50,640 --> 00:46:52,200
Speaker 5: called used to call them pops.

891
00:46:52,640 --> 00:46:55,200
Speaker 1: He's no longer with us, but doing a little catch

892
00:46:55,239 --> 00:46:59,200
Speaker 1: and release. Yeah, you know, this is how you're supposed

893
00:46:59,239 --> 00:47:00,960
Speaker 1: to hold a trout by the gills.

894
00:47:01,120 --> 00:47:02,840
Speaker 2: Uh huh.

895
00:47:03,000 --> 00:47:04,320
Speaker 1: But now this is up in Maine.

896
00:47:04,320 --> 00:47:07,880
Speaker 5: My grand grandparents, they were school teachers and in the

897
00:47:07,920 --> 00:47:11,880
Speaker 5: summertime when they were off, they would they would be

898
00:47:12,120 --> 00:47:13,480
Speaker 5: camp counselors up in Maine.

899
00:47:14,040 --> 00:47:14,320
Speaker 1: Nice.

900
00:47:14,960 --> 00:47:16,719
Speaker 5: So they ended up buying a place up there, and

901
00:47:16,840 --> 00:47:21,000
Speaker 5: I spent most of my childhood going to Maine every summer.

902
00:47:22,680 --> 00:47:25,759
Speaker 5: And uh yeah, it's kind of where I like learned

903
00:47:25,800 --> 00:47:28,000
Speaker 5: how to drive a boat. That that boat, that little

904
00:47:28,040 --> 00:47:29,799
Speaker 5: lund on the right there was like the first boat

905
00:47:29,840 --> 00:47:33,040
Speaker 5: I ever drove, and learned how to you know, handle

906
00:47:33,080 --> 00:47:34,880
Speaker 5: myself in a boat, and learned how to fish.

907
00:47:34,960 --> 00:47:38,320
Speaker 2: And why would be nice to have ski goggles? Yeah exactly,

908
00:47:38,480 --> 00:47:40,239
Speaker 2: I'll give us a fishing report for that lake.

909
00:47:41,000 --> 00:47:43,719
Speaker 5: So this lake, it's it's a small lake. They call

910
00:47:43,760 --> 00:47:46,960
Speaker 5: them ponds up there, so yeah.

911
00:47:46,840 --> 00:47:49,080
Speaker 2: Shilo pond, that's the main, right, But that thing ain't

912
00:47:49,080 --> 00:47:52,840
Speaker 2: a pond. Oh yeah, I mean like it traditionally someone

913
00:47:52,880 --> 00:47:54,160
Speaker 2: looking at me like, that's a dang lake.

914
00:47:54,640 --> 00:47:55,480
Speaker 1: Yeah yeah.

915
00:47:55,600 --> 00:47:59,880
Speaker 5: Yeah. This is the Belgrade Lakes region in Maine, and

916
00:48:00,000 --> 00:48:04,520
Speaker 5: and uh this was it's I would love I've never

917
00:48:04,560 --> 00:48:10,200
Speaker 5: fished this this lake with electronics, like it was purely visual,

918
00:48:10,760 --> 00:48:12,680
Speaker 5: like go to spots where you can see rocks, catch

919
00:48:12,719 --> 00:48:14,680
Speaker 5: small mouth. Go to spots where you can see weeds,

920
00:48:14,719 --> 00:48:18,840
Speaker 5: catch large mouth fish, structure fish like flip docks. Go

921
00:48:18,920 --> 00:48:21,520
Speaker 5: out in deep water and just sink a worm and

922
00:48:21,680 --> 00:48:24,560
Speaker 5: float for hours until you finally hit the school of

923
00:48:24,560 --> 00:48:27,000
Speaker 5: of white perch. You know, like that's the kind of

924
00:48:27,040 --> 00:48:32,560
Speaker 5: fishing we did. Very simple, and I haven't fished in years,

925
00:48:32,600 --> 00:48:36,000
Speaker 5: but it'd be fun to go back with like electronics

926
00:48:36,000 --> 00:48:38,319
Speaker 5: and just see like what's going Like what what was

927
00:48:38,400 --> 00:48:42,399
Speaker 5: what was I missing back then? You know, it's where

928
00:48:42,400 --> 00:48:44,200
Speaker 5: I cut my teeth on bass fishing. And we used

929
00:48:44,239 --> 00:48:46,919
Speaker 5: to May used to fish just all day out there,

930
00:48:47,040 --> 00:48:47,640
Speaker 5: just hours.

931
00:48:48,520 --> 00:48:52,799
Speaker 1: I like pops rock in the action slacks. Oh yeah good.

932
00:48:53,840 --> 00:48:57,600
Speaker 5: The gray New Balance sneakers was you know made in Maine.

933
00:48:57,640 --> 00:48:59,799
Speaker 5: It was like every every old timer in Maine had

934
00:48:59,800 --> 00:49:00,960
Speaker 5: a New Balanced.

935
00:49:02,239 --> 00:49:08,600
Speaker 2: Very authentic. Joining us on the line last is Kip Adams,

936
00:49:08,800 --> 00:49:13,240
Speaker 2: the chief conservation officer at the National Deer Association. Kip

937
00:49:13,280 --> 00:49:15,840
Speaker 2: is here to give us an EHD report for deer

938
00:49:15,960 --> 00:49:18,040
Speaker 2: in each region. Kip, welcome to the show.

939
00:49:19,160 --> 00:49:21,320
Speaker 4: Hey, thanks for having me, Spencer, good to see you guys.

940
00:49:21,360 --> 00:49:21,839
Speaker 1: Good to see.

941
00:49:22,840 --> 00:49:25,440
Speaker 2: First thing, Kip explain what EHD is.

942
00:49:27,239 --> 00:49:30,120
Speaker 7: EHD stands for epizootic hemorrhagic disease.

943
00:49:30,920 --> 00:49:32,520
Speaker 4: It's a viral disease of deer.

944
00:49:32,760 --> 00:49:35,879
Speaker 7: It's it's probably the most common disease that the white

945
00:49:35,920 --> 00:49:38,759
Speaker 7: tails get. There's a few other deer species and some

946
00:49:38,840 --> 00:49:41,719
Speaker 7: livestock species that can get it as well, But from

947
00:49:41,760 --> 00:49:44,080
Speaker 7: a hundred standpoint, it's typically a disease we think of

948
00:49:44,400 --> 00:49:47,440
Speaker 7: late summer when you start finding dead deer near water sources.

949
00:49:48,040 --> 00:49:49,759
Speaker 2: Yeah, what are what are some of the signs that

950
00:49:49,800 --> 00:49:52,520
Speaker 2: we can look for to determine that a deer died

951
00:49:52,600 --> 00:49:54,479
Speaker 2: from EHD or maybe something else.

952
00:49:55,560 --> 00:49:57,440
Speaker 7: Yeah, Since it is a virus and it is a

953
00:49:57,480 --> 00:50:00,520
Speaker 7: hemorrhaging disease, we often can see you know, like red

954
00:50:00,560 --> 00:50:06,399
Speaker 7: puffy eyes, thick tongue, all the roomen can get all

955
00:50:06,440 --> 00:50:09,520
Speaker 7: messed up from a hundred standpoint, though, basically, these are

956
00:50:09,520 --> 00:50:11,799
Speaker 7: the deer that because they have fever, they end up

957
00:50:11,800 --> 00:50:14,680
Speaker 7: near water sources, so we find them dead and ponds

958
00:50:14,719 --> 00:50:17,280
Speaker 7: and ditches and cricks and the likes.

959
00:50:17,880 --> 00:50:20,360
Speaker 2: Why is it that some years in regions have a

960
00:50:20,400 --> 00:50:23,040
Speaker 2: lot of EHD while others don't.

961
00:50:23,680 --> 00:50:26,600
Speaker 7: Well, it's because the virus is carried by nseums. You know,

962
00:50:26,680 --> 00:50:29,120
Speaker 7: those little biting midges that drive us crazy. In the

963
00:50:29,160 --> 00:50:33,879
Speaker 7: summer years of drought, sees deer get sucked into these

964
00:50:33,880 --> 00:50:37,400
Speaker 7: water sources. And that's also years where we often have

965
00:50:37,600 --> 00:50:39,680
Speaker 7: a lot of the vector the midges that are their

966
00:50:39,719 --> 00:50:42,600
Speaker 7: carrying this. So when we have a drought we have

967
00:50:42,920 --> 00:50:46,120
Speaker 7: dry areas, deer get in and around these areas makes

968
00:50:46,120 --> 00:50:48,720
Speaker 7: it much easier for the midges who carry the disease

969
00:50:49,160 --> 00:50:50,640
Speaker 7: or you know, to bite a deer that has it

970
00:50:50,760 --> 00:50:53,560
Speaker 7: and then share that with another deer. So basically, deer

971
00:50:53,560 --> 00:50:56,640
Speaker 7: are congregated in areas that make it perfect for the

972
00:50:56,680 --> 00:50:59,080
Speaker 7: nseums to bite them and then transfer it from deer

973
00:50:59,120 --> 00:50:59,479
Speaker 7: to deer.

974
00:51:00,160 --> 00:51:03,320
Speaker 2: Is there anything that landowners can do to protect herds

975
00:51:03,360 --> 00:51:05,480
Speaker 2: from ehd.

976
00:51:05,440 --> 00:51:06,279
Speaker 4: Well not a lot.

977
00:51:06,880 --> 00:51:10,280
Speaker 7: The perfect breeding grounds for these midges are the muddy

978
00:51:10,360 --> 00:51:15,239
Speaker 7: areas around dried up water sources. So in areas where

979
00:51:15,280 --> 00:51:17,399
Speaker 7: we have a lot of rain and water sources are full,

980
00:51:17,520 --> 00:51:20,280
Speaker 7: we don't tend to see a bad hemorrhagic disease years.

981
00:51:20,719 --> 00:51:24,080
Speaker 7: But because of the droughts and deer are congregated, then

982
00:51:24,080 --> 00:51:26,640
Speaker 7: you have more of those exposed mudflats that makes it

983
00:51:26,719 --> 00:51:29,880
Speaker 7: way worse. So from a landowner end, in many cases,

984
00:51:29,920 --> 00:51:32,440
Speaker 7: there's not a lot that they can do unless they

985
00:51:32,480 --> 00:51:35,920
Speaker 7: have access to management of some of these areas. And

986
00:51:36,400 --> 00:51:39,279
Speaker 7: think of you know, like cattle ranchers, cattle ranchers that

987
00:51:39,360 --> 00:51:43,319
Speaker 7: let cattle into ponds. Those are terrible areas in bad

988
00:51:43,320 --> 00:51:46,480
Speaker 7: hemorrhagic disease years because of all the mud that's right

989
00:51:46,520 --> 00:51:49,239
Speaker 7: in and around them and the cattle disturbing that in

990
00:51:49,360 --> 00:51:51,719
Speaker 7: large part those spencer There's not a whole lot that

991
00:51:51,800 --> 00:51:55,120
Speaker 7: we can do to stop this. We can react if

992
00:51:55,120 --> 00:51:57,480
Speaker 7: you find a bunch of dead deer, you know that

993
00:51:57,640 --> 00:52:00,400
Speaker 7: year may be reducing antly less harvest if nests necessary,

994
00:52:01,080 --> 00:52:03,640
Speaker 7: But as far as specific things we can do to

995
00:52:03,719 --> 00:52:06,799
Speaker 7: try to safeguard against the disease, there's really nothing we

996
00:52:06,840 --> 00:52:07,120
Speaker 7: can do.

997
00:52:07,680 --> 00:52:10,720
Speaker 2: Okay, let's go region by region to talk about EHD

998
00:52:10,920 --> 00:52:13,920
Speaker 2: reports in twenty twenty five, starting with the Northeast.

999
00:52:13,920 --> 00:52:17,280
Speaker 7: What have you heard there, Well, there's at least five

1000
00:52:17,320 --> 00:52:20,000
Speaker 7: states in the Northeast that have confirmed presents so far.

1001
00:52:20,520 --> 00:52:25,000
Speaker 7: And basically this is worse in years where you have

1002
00:52:25,640 --> 00:52:29,759
Speaker 7: a really wet spring followed by droughts. So droughts are

1003
00:52:29,800 --> 00:52:32,640
Speaker 7: bad for this anyway, but they're even worse if you

1004
00:52:32,760 --> 00:52:34,799
Speaker 7: start that off with a really wet spring because that

1005
00:52:34,840 --> 00:52:38,239
Speaker 7: allows more of the noseums to breed. So the Northeast,

1006
00:52:38,280 --> 00:52:41,279
Speaker 7: it was extremely wet in April and May then has

1007
00:52:41,320 --> 00:52:44,920
Speaker 7: had almost no rain since. So the kind of the

1008
00:52:44,960 --> 00:52:50,400
Speaker 7: mid Atlantic region Maryland, Pennsylvania, West Virginia, Virginia, and New

1009
00:52:50,480 --> 00:52:52,480
Speaker 7: York have thus confirmed it.

1010
00:52:52,600 --> 00:52:54,160
Speaker 4: And it's pretty early for like this is.

1011
00:52:54,160 --> 00:52:56,880
Speaker 7: At the beginning of the hemorrhagic disease season and we're

1012
00:52:56,960 --> 00:52:59,080
Speaker 7: seeing a bunch of it already in the Northeast, So

1013
00:53:00,120 --> 00:53:02,160
Speaker 7: are still really dry. It's set up to be a

1014
00:53:02,239 --> 00:53:05,080
Speaker 7: really really bad year for this here in the Northeast.

1015
00:53:05,360 --> 00:53:09,319
Speaker 1: But that's not like, don't go to Pennsylvania thing, right,

1016
00:53:09,400 --> 00:53:12,360
Speaker 1: that can just be localized in certain areas of the state.

1017
00:53:13,320 --> 00:53:16,760
Speaker 7: Yeah, you're exactly right, cal And the thing with hemorrhagic diseases,

1018
00:53:16,880 --> 00:53:19,080
Speaker 7: first of all, not all deer that get the disease

1019
00:53:19,160 --> 00:53:21,879
Speaker 7: die from it. Some will live, and if they live,

1020
00:53:21,920 --> 00:53:26,239
Speaker 7: they develop antibodies against it. The ones that die, that

1021
00:53:26,360 --> 00:53:29,960
Speaker 7: tends to be very localized. So like I'm in northern Pennsylvania,

1022
00:53:30,239 --> 00:53:33,960
Speaker 7: fortunately there has been no disease in my area. However,

1023
00:53:34,040 --> 00:53:37,040
Speaker 7: you know, twenty miles down the road it can hit

1024
00:53:37,160 --> 00:53:39,839
Speaker 7: and people can lose a bunch of deer. So you're right,

1025
00:53:39,880 --> 00:53:43,440
Speaker 7: it is very specific, very localized where deer get hit

1026
00:53:43,520 --> 00:53:44,040
Speaker 7: hard by.

1027
00:53:43,880 --> 00:53:47,360
Speaker 1: It and just nasty too, Like if you're on site

1028
00:53:47,400 --> 00:53:50,480
Speaker 1: when this is happening, it is really brutal.

1029
00:53:52,120 --> 00:53:55,760
Speaker 2: Kid you had mentioned, sorry, go ahead, go ahead. Nope,

1030
00:53:55,880 --> 00:53:58,560
Speaker 2: Sara Spencer, you mentioned that not every deer dies who

1031
00:53:58,600 --> 00:54:02,759
Speaker 2: gets EHD. If you were to kill a survivor, how

1032
00:54:02,800 --> 00:54:05,480
Speaker 2: could you confirm that that deer maybe once had EHD

1033
00:54:05,640 --> 00:54:06,359
Speaker 2: but lived through it.

1034
00:54:07,080 --> 00:54:09,920
Speaker 7: One of the symptoms are they get sloughing of the hoves.

1035
00:54:10,440 --> 00:54:13,360
Speaker 7: So the incubation period is very short, like five to

1036
00:54:13,440 --> 00:54:15,640
Speaker 7: nine days. So if the deer's going to die from

1037
00:54:15,640 --> 00:54:17,560
Speaker 7: it this year, it's going to be done. You're not

1038
00:54:17,640 --> 00:54:19,879
Speaker 7: you're not going to be shooting in you know, bow

1039
00:54:20,000 --> 00:54:22,920
Speaker 7: or rifle season. But if you do shoot a deer

1040
00:54:23,239 --> 00:54:25,240
Speaker 7: this hont In season and you look at the hoves

1041
00:54:25,520 --> 00:54:28,160
Speaker 7: and you can see like growth interruptions or what looks

1042
00:54:28,160 --> 00:54:30,839
Speaker 7: like the hooves are sloughing off, that's a sure sign

1043
00:54:30,920 --> 00:54:34,000
Speaker 7: that that deer had the disease, survived it and then

1044
00:54:34,200 --> 00:54:36,320
Speaker 7: continued to live, you know, and start to grow again.

1045
00:54:36,600 --> 00:54:38,919
Speaker 2: Wow, And to be clear that that deer is still

1046
00:54:38,960 --> 00:54:40,160
Speaker 2: safe to eat, right, kid.

1047
00:54:40,960 --> 00:54:43,160
Speaker 4: Yes, it is yep, absolutely, Okay.

1048
00:54:43,200 --> 00:54:45,839
Speaker 2: What are we looking at for EHD in the South this.

1049
00:54:45,920 --> 00:54:47,759
Speaker 4: Year, Well, it's ah.

1050
00:54:48,080 --> 00:54:50,400
Speaker 7: We see six states so far to south that have

1051
00:54:50,560 --> 00:54:56,480
Speaker 7: confirmed it be in Arkansas, Florida, Georgia, Mississippi, Oklahoma, and Tennessee.

1052
00:54:57,000 --> 00:55:01,040
Speaker 4: And the South has had this disease forever. And I vividly.

1053
00:55:00,719 --> 00:55:03,560
Speaker 7: Remember when I was doing my undergraduate work at Penn State.

1054
00:55:04,040 --> 00:55:06,600
Speaker 7: You know, we got to hemorrhagic disease. The professor said,

1055
00:55:06,920 --> 00:55:09,799
Speaker 7: this is a disease a deer in the southeast moving.

1056
00:55:09,560 --> 00:55:12,400
Speaker 4: On, and then that was it.

1057
00:55:10,800 --> 00:55:15,920
Speaker 7: That is very different today it is today, this disease

1058
00:55:16,040 --> 00:55:19,880
Speaker 7: is all across the US, it's up into Canada. Basically

1059
00:55:20,080 --> 00:55:22,319
Speaker 7: it's warmer, so the midges just live in a lot

1060
00:55:22,320 --> 00:55:25,680
Speaker 7: of places they didn't used to so, but the Southeast

1061
00:55:25,680 --> 00:55:28,120
Speaker 7: has had it the longest, so those deer are more

1062
00:55:28,280 --> 00:55:31,400
Speaker 7: used to it. And basically they have it everywhere in

1063
00:55:31,440 --> 00:55:34,160
Speaker 7: the Southeast every year. But those deer are not hit

1064
00:55:34,320 --> 00:55:37,240
Speaker 7: very hard, so usually not many of those deer die.

1065
00:55:37,480 --> 00:55:39,839
Speaker 7: In the Northeast, where our deer are more naive, it

1066
00:55:39,920 --> 00:55:42,919
Speaker 7: kills a snot out of them. But the southeast sixth

1067
00:55:42,920 --> 00:55:45,800
Speaker 7: states so far, probably is not going to be nearly

1068
00:55:45,800 --> 00:55:48,400
Speaker 7: as bad there as other parts of the country, partly

1069
00:55:48,480 --> 00:55:49,520
Speaker 7: just because they've they've.

1070
00:55:49,320 --> 00:55:51,239
Speaker 4: Been exposed to it for so long, they're just more

1071
00:55:51,320 --> 00:55:51,759
Speaker 4: used to it.

1072
00:55:52,360 --> 00:55:55,520
Speaker 2: Moving to the Midwest, I've seen the most EHD reports

1073
00:55:55,560 --> 00:55:57,879
Speaker 2: out of Ohio this year. What are you hearing from

1074
00:55:57,880 --> 00:55:59,280
Speaker 2: there and the rest of the region?

1075
00:56:00,719 --> 00:56:03,160
Speaker 7: Five states in the Midwest so far have confirmed it.

1076
00:56:03,239 --> 00:56:09,120
Speaker 7: That's Indiana, Kentucky, Ohio, Michigan, and Missouri. And of those

1077
00:56:09,360 --> 00:56:11,840
Speaker 7: you are so far, it has been the worst. In Ohio.

1078
00:56:11,960 --> 00:56:15,279
Speaker 7: There are literally hundreds and hundreds of dead deer in

1079
00:56:15,360 --> 00:56:19,360
Speaker 7: Ohio all throughout the state. The southeast part of Ohio

1080
00:56:19,400 --> 00:56:21,879
Speaker 7: has been hit worse than anywhere else, kind of right

1081
00:56:21,880 --> 00:56:24,400
Speaker 7: across the border from West Virginia and not all that

1082
00:56:24,480 --> 00:56:27,719
Speaker 7: far from Pennsylvania. But that region of the country has

1083
00:56:27,760 --> 00:56:30,640
Speaker 7: been hit far harder, so farther than any place else.

1084
00:56:31,480 --> 00:56:34,360
Speaker 2: Finally, what do we have for EHD in the West?

1085
00:56:35,239 --> 00:56:38,480
Speaker 7: Two states so far, Idaho and Washington have both confirmed it.

1086
00:56:38,719 --> 00:56:42,200
Speaker 7: The West typically doesn't get that bad of heemorrhagic disease.

1087
00:56:42,600 --> 00:56:45,320
Speaker 7: Fingers crossed it'll be that way again this year because,

1088
00:56:45,360 --> 00:56:48,359
Speaker 7: in addition to whitetails, mill deer can get it. Elk

1089
00:56:48,400 --> 00:56:51,120
Speaker 7: can get it, although elk are less susceptible to it,

1090
00:56:51,400 --> 00:56:54,480
Speaker 7: but pronghorn and big horn sheep can also get it.

1091
00:56:54,800 --> 00:56:57,520
Speaker 7: So because of that, you know, the West is especially

1092
00:56:57,600 --> 00:57:00,640
Speaker 7: sensitive to the disease. But thus far it's been pretty

1093
00:57:00,680 --> 00:57:03,480
Speaker 7: light out there, and hopefully first frost comes in a

1094
00:57:03,520 --> 00:57:06,480
Speaker 7: hurry that ends the midges, that ends the disease season.

1095
00:57:06,600 --> 00:57:09,040
Speaker 7: So the first frost can't come quickly enough.

1096
00:57:09,520 --> 00:57:12,040
Speaker 2: Last thing, Kip on a science front, is there anything

1097
00:57:12,200 --> 00:57:15,480
Speaker 2: encouraging you can tell us about how biologists are working

1098
00:57:15,520 --> 00:57:18,880
Speaker 2: to reduce EHD in America's favorite game animal.

1099
00:57:20,040 --> 00:57:22,520
Speaker 7: Well, there's a lot of resources looking at doing a

1100
00:57:22,520 --> 00:57:25,600
Speaker 7: better job predicting, you know, when it's going to be bad.

1101
00:57:26,080 --> 00:57:28,760
Speaker 7: Because it's a virus, there's really nothing that we can

1102
00:57:28,800 --> 00:57:31,960
Speaker 7: do to protect deer against it, but there's definitely some

1103
00:57:32,480 --> 00:57:34,200
Speaker 7: ways you know, that we can at least predict if

1104
00:57:34,200 --> 00:57:36,920
Speaker 7: we think it's going to be bad. Hence when I

1105
00:57:36,960 --> 00:57:39,600
Speaker 7: mentioned earlier, you know it's worse and drought years, and

1106
00:57:39,760 --> 00:57:43,160
Speaker 7: especially worse if it's preceded by a wet spring. So

1107
00:57:43,400 --> 00:57:45,600
Speaker 7: there's a lot of disease folks just taking a look

1108
00:57:45,640 --> 00:57:48,160
Speaker 7: at all those factors, trying to combine them just to

1109
00:57:48,200 --> 00:57:50,080
Speaker 7: be able to help predict a little more for.

1110
00:57:49,960 --> 00:57:51,960
Speaker 4: For hunters across the US.

1111
00:57:52,200 --> 00:57:54,640
Speaker 7: I'm trying to understand if they're likely to have a

1112
00:57:54,680 --> 00:57:56,200
Speaker 7: bad hemorrhagic disease year.

1113
00:57:56,800 --> 00:57:58,920
Speaker 2: All right, Kip, thanks for fighting for deer, Thanks for

1114
00:57:58,960 --> 00:58:01,160
Speaker 2: the EHD reports, Thanks for joining us.

1115
00:58:01,440 --> 00:58:04,120
Speaker 4: Thanks see you guys, good luck this season.

1116
00:58:06,520 --> 00:58:09,520
Speaker 2: You boys run across many EHD deaths in your day.

1117
00:58:10,920 --> 00:58:15,120
Speaker 1: Handful. Yeah yeah, I mean the what Kip was saying

1118
00:58:15,120 --> 00:58:18,200
Speaker 1: there about, you know, drought years, and then we would

1119
00:58:18,200 --> 00:58:21,600
Speaker 1: see it also when you get like a little just

1120
00:58:21,640 --> 00:58:27,320
Speaker 1: a little bit of reign in August and the those

1121
00:58:27,400 --> 00:58:31,360
Speaker 1: midges would just explode. And I had a way back

1122
00:58:31,400 --> 00:58:35,880
Speaker 1: when I used to we never guided archery deer or

1123
00:58:36,240 --> 00:58:39,000
Speaker 1: or antelope. But so I would take that time to

1124
00:58:39,040 --> 00:58:42,760
Speaker 1: go set up our outfitting camp in eastern Montana and

1125
00:58:42,880 --> 00:58:44,720
Speaker 1: all all the stuff out there, clean everything up, and

1126
00:58:44,760 --> 00:58:48,760
Speaker 1: it was amazing because I'd be the only person archery

1127
00:58:48,800 --> 00:58:53,320
Speaker 1: hunting deer. And one year there's this bachelor group of

1128
00:58:53,480 --> 00:58:58,200
Speaker 1: eight mule deer bucks that I kept sneaking in on

1129
00:58:58,360 --> 00:59:03,440
Speaker 1: and definitely flung a couple of arrows. Never never connected,

1130
00:59:03,600 --> 00:59:08,240
Speaker 1: but you know, had all this time to work these deer,

1131
00:59:08,720 --> 00:59:11,320
Speaker 1: and eventually there were six and then five and then zero,

1132
00:59:11,760 --> 00:59:13,640
Speaker 1: and every single one of those deer died.

1133
00:59:14,400 --> 00:59:16,560
Speaker 2: All of them, damn, like while you were trying to

1134
00:59:16,600 --> 00:59:17,040
Speaker 2: kill one.

1135
00:59:17,160 --> 00:59:21,360
Speaker 1: Yes, uh yeah, And and those are the years like

1136
00:59:21,360 --> 00:59:25,560
Speaker 1: where you can just smell the death, uh and the hay,

1137
00:59:25,760 --> 00:59:29,200
Speaker 1: you know, hay was still still high, that last cutting

1138
00:59:29,240 --> 00:59:33,280
Speaker 1: hadn't come off yet, and yeah, I mean just just gross. Yeah.

1139
00:59:33,400 --> 00:59:35,560
Speaker 2: Kip had talked about how it's especially bad if you

1140
00:59:35,600 --> 00:59:39,080
Speaker 2: have wet spring, dry summer. Similarly, it can be really

1141
00:59:39,120 --> 00:59:41,040
Speaker 2: bad if you have a wet year followed by a

1142
00:59:41,120 --> 00:59:44,160
Speaker 2: dry year. In southeastern South Dakota in twenty eleven, we

1143
00:59:44,200 --> 00:59:46,720
Speaker 2: had record breaking rainfall. The Missouri River was like the

1144
00:59:46,760 --> 00:59:49,480
Speaker 2: highest it had been in hundreds of years as far

1145
00:59:49,520 --> 00:59:52,240
Speaker 2: as back as they could look. And then twenty twelve

1146
00:59:52,400 --> 00:59:54,680
Speaker 2: was an extreme drought. So we had an extremely wet

1147
00:59:54,760 --> 00:59:59,200
Speaker 2: followed by extremely dry and I personally found probably twenty

1148
00:59:59,240 --> 01:00:02,920
Speaker 2: dead deer that summer that died from EHD. And what

1149
01:00:02,920 --> 01:00:05,720
Speaker 2: I'll always remember is the smell cow just just brutal,

1150
01:00:05,760 --> 01:00:08,240
Speaker 2: And you could like follow your nose right to where

1151
01:00:08,360 --> 01:00:11,840
Speaker 2: dead deer would be and we could be catfishing on

1152
01:00:11,880 --> 01:00:14,800
Speaker 2: the Gym River in you know, August, and you would

1153
01:00:14,880 --> 01:00:17,560
Speaker 2: know that, like somewhere within a mile and a half

1154
01:00:17,680 --> 01:00:20,840
Speaker 2: here there are three or four dead deer from EHD

1155
01:00:21,000 --> 01:00:24,000
Speaker 2: right now. Yeah, and you'll just like never forget that

1156
01:00:24,120 --> 01:00:28,960
Speaker 2: overpowering like stench of death. And now when I'm outside,

1157
01:00:29,000 --> 01:00:32,040
Speaker 2: it's like very easy to confirm, like, oh, something died

1158
01:00:32,320 --> 01:00:36,080
Speaker 2: over there a few weeks ago. Because of that twenty twelve,

1159
01:00:36,160 --> 01:00:38,560
Speaker 2: you're finding all those EHD dead deer.

1160
01:00:38,800 --> 01:00:42,520
Speaker 1: Ye folks who would travel around with the with their saws,

1161
01:00:42,560 --> 01:00:49,240
Speaker 1: alls and and yeah, just pulling deer heads off. Yeah.

1162
01:00:49,320 --> 01:00:50,960
Speaker 5: A couple of years ago, my wife shot a mule

1163
01:00:51,040 --> 01:00:53,840
Speaker 5: deer out in East Montana that the hooves were sloughing.

1164
01:00:54,280 --> 01:00:57,680
Speaker 5: Was that, yeah, yeah, yeah, I don't I don't you know,

1165
01:00:58,200 --> 01:00:59,160
Speaker 5: I think they're related.

1166
01:00:59,280 --> 01:01:02,320
Speaker 2: Yeah, that it was actis bucken ahead domestic hoofs yep,

1167
01:01:02,480 --> 01:01:06,520
Speaker 2: cool buck real cool bock. I to the part of

1168
01:01:06,600 --> 01:01:08,960
Speaker 2: South Dakota I was hunting in that twenty twelve. They

1169
01:01:09,080 --> 01:01:14,720
Speaker 2: responded appropriately and cut back tags an enormous amount, and

1170
01:01:14,840 --> 01:01:17,600
Speaker 2: it sucked. But then I personally had a theory that

1171
01:01:17,760 --> 01:01:19,240
Speaker 2: we were gonna come out of this and be in

1172
01:01:19,360 --> 01:01:21,640
Speaker 2: like this golden age of white tail hunting for that area,

1173
01:01:21,920 --> 01:01:24,400
Speaker 2: because these deer were not being bothered for years. If

1174
01:01:24,440 --> 01:01:25,800
Speaker 2: there was like a one and a half year old

1175
01:01:25,800 --> 01:01:27,680
Speaker 2: to two and a half year old that survived, EHD

1176
01:01:28,480 --> 01:01:30,400
Speaker 2: and then all of a sudden the tag count in

1177
01:01:30,560 --> 01:01:33,920
Speaker 2: that county went from one thousand to fifty. Those bucks

1178
01:01:34,080 --> 01:01:35,760
Speaker 2: just lived for a couple of years not knowing what

1179
01:01:35,880 --> 01:01:38,600
Speaker 2: it was like to be hunted or bothered. So I

1180
01:01:39,680 --> 01:01:43,080
Speaker 2: really really enjoyed. That kept me going like, oh man,

1181
01:01:43,160 --> 01:01:46,479
Speaker 2: this sucks and the deer a guy. But there's gonna

1182
01:01:46,480 --> 01:01:47,760
Speaker 2: be some dumb deer after this.

1183
01:01:48,080 --> 01:01:53,080
Speaker 1: Yeah. Yeah. Randall Williams said that on his trip through

1184
01:01:53,280 --> 01:01:58,080
Speaker 1: Ohio he saw like yard signs saying stop the deer

1185
01:01:58,200 --> 01:01:59,920
Speaker 1: hunt was a EHD.

1186
01:02:00,280 --> 01:02:02,320
Speaker 2: Yeah, Yeah, it's hard to argue with those folks.

1187
01:02:03,040 --> 01:02:03,240
Speaker 1: Yeah.

1188
01:02:03,440 --> 01:02:06,000
Speaker 5: I got some cell cameras out in Pennsylvania right now,

1189
01:02:06,040 --> 01:02:09,520
Speaker 5: and there's some bucks that were running around that I

1190
01:02:09,600 --> 01:02:13,000
Speaker 5: haven't seen for a while, so hard to say what happened.

1191
01:02:13,520 --> 01:02:16,000
Speaker 1: They could still be there, but yeah, hopefully it's not

1192
01:02:16,120 --> 01:02:16,800
Speaker 1: that all right.

1193
01:02:16,840 --> 01:02:18,880
Speaker 2: That brings us to the end of this week's show, Phil,

1194
01:02:18,920 --> 01:02:20,960
Speaker 2: let's get some final feedback from the chat.

1195
01:02:21,120 --> 01:02:25,120
Speaker 6: Sure thing last call for questions. This is from Nate.

1196
01:02:25,400 --> 01:02:27,720
Speaker 6: He says, I am a bad cook? Or am I

1197
01:02:27,840 --> 01:02:30,920
Speaker 6: a bad cook? Or are some birds just impossible to

1198
01:02:31,000 --> 01:02:34,280
Speaker 6: get the skin crispy even among the same species.

1199
01:02:34,440 --> 01:02:35,120
Speaker 2: Cal, what do you get?

1200
01:02:35,240 --> 01:02:38,919
Speaker 1: Yeah? Cal, very hard. I mean you have to dry

1201
01:02:39,920 --> 01:02:43,959
Speaker 1: the heck out of that bird, So score the little

1202
01:02:44,000 --> 01:02:47,720
Speaker 1: fatty bits just just enough to like scratch the skin

1203
01:02:47,840 --> 01:02:50,919
Speaker 1: and allow that moisture to come out. Reb a little

1204
01:02:50,960 --> 01:02:53,120
Speaker 1: salt on there, and then hang that thing up in

1205
01:02:53,200 --> 01:02:57,720
Speaker 1: front of a window or even a fan, and like

1206
01:02:58,360 --> 01:03:03,480
Speaker 1: get it to death. Cicade a little bit, and that's

1207
01:03:03,520 --> 01:03:07,560
Speaker 1: your best shot. There's some other I was I never

1208
01:03:07,640 --> 01:03:10,320
Speaker 1: followed up with them. I was talking to a food scientist,

1209
01:03:11,280 --> 01:03:16,480
Speaker 1: super nice dude out of Oklahoma, and we were debating

1210
01:03:16,520 --> 01:03:21,680
Speaker 1: about baking soda as this hack for getting dry skin

1211
01:03:21,760 --> 01:03:24,320
Speaker 1: on birds, which is sometimes used with like big turkeys

1212
01:03:24,360 --> 01:03:27,680
Speaker 1: and stuff. And there's some food science in there. I'll

1213
01:03:27,800 --> 01:03:30,840
Speaker 1: dig that up and we'll maybe write an article or

1214
01:03:30,920 --> 01:03:31,360
Speaker 1: something on it.

1215
01:03:31,440 --> 01:03:34,680
Speaker 2: But we were singing the praises of Danielle prove it earlier.

1216
01:03:34,800 --> 01:03:37,240
Speaker 2: She has an article on our website at the medeater

1217
01:03:37,320 --> 01:03:41,080
Speaker 2: dot com how to get perfectly crispy skin on game

1218
01:03:41,160 --> 01:03:43,600
Speaker 2: birds in about eight hundred words. There she gives you

1219
01:03:43,680 --> 01:03:45,400
Speaker 2: all the details you need to know, as far as

1220
01:03:45,760 --> 01:03:48,520
Speaker 2: how long to dry it, how much salt to apply

1221
01:03:48,640 --> 01:03:51,280
Speaker 2: if you want to do a wet Brian instead, if

1222
01:03:51,320 --> 01:03:53,160
Speaker 2: you're going to throw this thing in the oven and

1223
01:03:53,320 --> 01:03:56,280
Speaker 2: cast iron skillet, what the temperature should be. So again,

1224
01:03:56,360 --> 01:03:59,440
Speaker 2: go check out Danielle's article how to get perfectly crispy

1225
01:03:59,600 --> 01:04:00,840
Speaker 2: skin on game birds.

1226
01:04:01,040 --> 01:04:05,480
Speaker 1: But if you're talking like a quail, a dove, hungarian partridge,

1227
01:04:06,360 --> 01:04:10,440
Speaker 1: even sharp tail grouse, all those birds are great in

1228
01:04:10,480 --> 01:04:13,640
Speaker 1: the defat Friar. Yeah, and that's Ginn's crispy.

1229
01:04:14,760 --> 01:04:18,160
Speaker 6: What else, Scott Phil, First, this is from a different Nate,

1230
01:04:18,200 --> 01:04:20,600
Speaker 6: He says, Spencer. My kids just picked up their forty third,

1231
01:04:20,760 --> 01:04:24,280
Speaker 6: forty fourth, forty fifth, forty six, and forty seventh junior

1232
01:04:24,400 --> 01:04:27,560
Speaker 6: Ranger Badgess last week, and they also found two fossils

1233
01:04:28,120 --> 01:04:30,560
Speaker 6: at bad lands and got a special patch for that.

1234
01:04:30,880 --> 01:04:35,760
Speaker 2: Good. That's awesome, That's that's good parenting. That's that's fun

1235
01:04:35,840 --> 01:04:37,800
Speaker 2: for them. I bet they appreciate it now and they're

1236
01:04:37,800 --> 01:04:39,840
Speaker 2: gonna appreciate it in the future for sure.

1237
01:04:40,720 --> 01:04:43,840
Speaker 6: Ethan asked Cal thanks for mentioning the fond situation I

1238
01:04:43,960 --> 01:04:46,720
Speaker 6: sent to you on Cal of the Wild. What sources

1239
01:04:46,840 --> 01:04:50,560
Speaker 6: should I send people to about CWD other than Uncle Ted?

1240
01:04:50,960 --> 01:04:53,320
Speaker 6: Thanks a bunch before you jump in, I will say

1241
01:04:53,360 --> 01:04:55,880
Speaker 6: in about a week and a half, I believe you've

1242
01:04:55,920 --> 01:04:59,000
Speaker 6: got a pretty all encompassing podcast that Cal is actually

1243
01:04:59,000 --> 01:05:01,720
Speaker 6: a part of with the Turkey doc Mike Chamberlain, but

1244
01:05:01,800 --> 01:05:05,400
Speaker 6: also his one of his buddies, Mark Ruter, who studies

1245
01:05:06,040 --> 01:05:09,480
Speaker 6: like free ranging disease pathology or it teaches it at

1246
01:05:09,560 --> 01:05:11,600
Speaker 6: the College of Vet Medicine at the University of Georgia.

1247
01:05:11,640 --> 01:05:14,200
Speaker 6: So that's a pretty wide ranging conversation that Steve has

1248
01:05:14,600 --> 01:05:17,760
Speaker 6: with them. But Cal, if you have anything else, I would.

1249
01:05:18,200 --> 01:05:20,520
Speaker 1: Wait for this podcast to come out because it's got

1250
01:05:20,960 --> 01:05:26,040
Speaker 1: the most up to date information on CWD and it's

1251
01:05:26,200 --> 01:05:28,600
Speaker 1: uh if you're interested in it, it is. It is

1252
01:05:28,680 --> 01:05:33,520
Speaker 1: a very good podcast. It it's a it's going to

1253
01:05:33,560 --> 01:05:36,160
Speaker 1: be a great source for for people to be up

1254
01:05:36,240 --> 01:05:41,760
Speaker 1: to date the nuts and bolts of of CWD Right

1255
01:05:41,800 --> 01:05:48,720
Speaker 1: now is you need to uh turn in your information

1256
01:05:48,920 --> 01:05:53,160
Speaker 1: lymph nodes, report deer that you find that you think

1257
01:05:53,240 --> 01:05:58,800
Speaker 1: may have died from CWD. The push is to manage

1258
01:05:59,720 --> 01:06:05,600
Speaker 1: like hyper local for CWD. So if you have let's

1259
01:06:05,600 --> 01:06:09,960
Speaker 1: say you have CWD case here in bos Angelus, the

1260
01:06:10,360 --> 01:06:15,000
Speaker 1: entire state isn't going to start reducing deer numbers. And

1261
01:06:16,280 --> 01:06:20,040
Speaker 1: in fact that now because they're trying to figure out

1262
01:06:20,200 --> 01:06:28,000
Speaker 1: where each county, each region, each CWD zone is on

1263
01:06:28,160 --> 01:06:33,400
Speaker 1: the scale of CWD, on the growth scale that they

1264
01:06:33,440 --> 01:06:40,479
Speaker 1: can plot very effectively. Now there may be instances where

1265
01:06:42,360 --> 01:06:47,720
Speaker 1: that data says, don't harvest dose. We need to help

1266
01:06:47,800 --> 01:06:51,080
Speaker 1: the population rebound. On the other side of the scale,

1267
01:06:51,320 --> 01:06:56,320
Speaker 1: it could be harvest more deer, especially the bucks. Don't

1268
01:06:56,400 --> 01:06:58,720
Speaker 1: let them go because we're going to try to knock

1269
01:06:58,760 --> 01:07:04,520
Speaker 1: it down and get c CWD to stabilize at ideally

1270
01:07:04,600 --> 01:07:06,200
Speaker 1: a lower prevalence rate.

1271
01:07:07,600 --> 01:07:09,760
Speaker 6: So do what they tell you to do.

1272
01:07:10,560 --> 01:07:13,320
Speaker 1: Don't be transporting things all over the place and disposing

1273
01:07:13,520 --> 01:07:18,840
Speaker 1: of spinal columns and brain buckets in places where deer

1274
01:07:18,920 --> 01:07:21,360
Speaker 1: can come in contact with them. Take them to a landfill,

1275
01:07:21,480 --> 01:07:25,080
Speaker 1: find your local Doug Durham with the good deer dumpster

1276
01:07:25,760 --> 01:07:30,520
Speaker 1: and get those things taken care of properly and turn

1277
01:07:30,600 --> 01:07:36,840
Speaker 1: in your lymph nodes. Help build this base for good

1278
01:07:36,960 --> 01:07:38,880
Speaker 1: effective scientific management.

1279
01:07:39,120 --> 01:07:41,560
Speaker 2: And our last guest, Kip Adams. He's from the National

1280
01:07:41,600 --> 01:07:45,440
Speaker 2: Deer Association. They do a great job of having common

1281
01:07:45,560 --> 01:07:48,760
Speaker 2: sense takes on things like this while still balancing the science.

1282
01:07:49,040 --> 01:07:51,520
Speaker 2: So go check out what NDA has to say on stuff.

1283
01:07:51,560 --> 01:07:54,600
Speaker 2: They'll also do a nice job of explaining things in

1284
01:07:54,720 --> 01:07:57,920
Speaker 2: layman's terms, so Ethan's buddy could come away from that

1285
01:07:58,320 --> 01:08:00,000
Speaker 2: have a better understanding.

1286
01:07:59,520 --> 01:08:02,080
Speaker 1: Of yep, for sure.

1287
01:08:02,840 --> 01:08:05,080
Speaker 6: Mogor wants to know what each of your longest hunts

1288
01:08:05,120 --> 01:08:07,000
Speaker 6: in the back country was, like the longest stretch of

1289
01:08:07,040 --> 01:08:08,560
Speaker 6: time you were off the grid.

1290
01:08:11,280 --> 01:08:12,000
Speaker 2: Cality gun.

1291
01:08:12,240 --> 01:08:14,440
Speaker 1: Oh, it just makes me cry thinking about the good

1292
01:08:14,480 --> 01:08:23,320
Speaker 1: old days and many many trips in that like probably

1293
01:08:23,479 --> 01:08:28,519
Speaker 1: sub fifteen day range, but between ten and fifteen days,

1294
01:08:28,800 --> 01:08:34,040
Speaker 1: like lots of those trips. And you know, guiding is

1295
01:08:34,080 --> 01:08:36,280
Speaker 1: a little bit different where you like you stay back

1296
01:08:36,720 --> 01:08:38,920
Speaker 1: back there and then the clients kind of rotate in

1297
01:08:39,000 --> 01:08:42,080
Speaker 1: and out, so a couple of months here and there.

1298
01:08:43,720 --> 01:08:50,840
Speaker 1: But as like good solid I am hunting backpack trip,

1299
01:08:53,600 --> 01:08:56,000
Speaker 1: I would say, on average like thirteen days.

1300
01:08:57,240 --> 01:09:00,439
Speaker 2: I don't have any real impressive backcountry status like cow

1301
01:09:00,560 --> 01:09:03,519
Speaker 2: my longest deer hunts though, where I'm just like car camping,

1302
01:09:03,560 --> 01:09:06,479
Speaker 2: sleeping in a tent Kansas. I think I went for

1303
01:09:06,560 --> 01:09:09,640
Speaker 2: eight days, probably like six years ago. In Wyoming, I

1304
01:09:09,680 --> 01:09:13,120
Speaker 2: think four years ago I had eight days sleeping in

1305
01:09:13,160 --> 01:09:15,320
Speaker 2: my tent trying to kill a deer, and both of

1306
01:09:15,360 --> 01:09:18,080
Speaker 2: those I killed my deer. The Wyoming one, I pushed

1307
01:09:18,479 --> 01:09:20,679
Speaker 2: my deadline like an extra day, like I'm gonna stay

1308
01:09:20,680 --> 01:09:22,240
Speaker 2: one more day, and then I killed one that morning.

1309
01:09:22,320 --> 01:09:26,719
Speaker 2: So it was very, very satisfying ending for me. Nic Seth, Yeah,

1310
01:09:26,760 --> 01:09:27,040
Speaker 2: I got.

1311
01:09:28,040 --> 01:09:31,479
Speaker 5: I think ten days is my longest, but several, you know,

1312
01:09:32,760 --> 01:09:37,920
Speaker 5: eight nine, ten day up in Alaska. Mostly mostly those

1313
01:09:37,960 --> 01:09:38,880
Speaker 5: are the longer trips.

1314
01:09:38,920 --> 01:09:42,120
Speaker 6: So Phil, let's do two more, all right? This is

1315
01:09:42,160 --> 01:09:45,200
Speaker 6: from Kyle and a different comment. He says that he's

1316
01:09:45,240 --> 01:09:47,680
Speaker 6: a proud randomble and then apologizes to me for that

1317
01:09:47,800 --> 01:09:50,400
Speaker 6: as if I'm not also a proud rand So Kyle,

1318
01:09:50,439 --> 01:09:53,000
Speaker 6: I'm on your team. But I'm saying he's starting his

1319
01:09:53,080 --> 01:09:55,080
Speaker 6: fall turkey hunt. This is coming Monday, and he tips

1320
01:09:55,120 --> 01:09:58,240
Speaker 6: on fall versus spring turkeys, says he has a stand

1321
01:09:58,280 --> 01:09:59,960
Speaker 6: decoy and calls but not sure what he should folk

1322
01:10:00,280 --> 01:10:04,000
Speaker 6: on hens and Tom's are allowed in Michigan. You guys

1323
01:10:04,040 --> 01:10:04,920
Speaker 6: do a lot of fall turkey.

1324
01:10:05,120 --> 01:10:07,560
Speaker 5: Any advice I used to back in the day and

1325
01:10:07,640 --> 01:10:10,439
Speaker 5: back in when I was living in Pennsylvania. We used

1326
01:10:10,439 --> 01:10:13,479
Speaker 5: to do it, but we always would just find them

1327
01:10:13,520 --> 01:10:15,680
Speaker 5: and try and break them up and call them back in.

1328
01:10:16,280 --> 01:10:16,439
Speaker 3: Yeah.

1329
01:10:16,479 --> 01:10:19,000
Speaker 2: I've killed two fall turkeys in my life. Both times

1330
01:10:19,040 --> 01:10:22,200
Speaker 2: it was just opportunistic that was deer hunting. Knew there

1331
01:10:22,360 --> 01:10:25,320
Speaker 2: maybe be some turkeys nearby, spotted them, got my shotgun,

1332
01:10:25,520 --> 01:10:28,160
Speaker 2: went and killed one. I don't have any good strategy

1333
01:10:28,240 --> 01:10:30,600
Speaker 2: for you, though, Kyle cal I.

1334
01:10:30,840 --> 01:10:34,360
Speaker 1: Think my maybe been one of my first turkeys ever,

1335
01:10:34,680 --> 01:10:38,160
Speaker 1: if not the first bearded hand in the fall. I

1336
01:10:38,280 --> 01:10:39,560
Speaker 1: got her right in the back of the head and

1337
01:10:39,640 --> 01:10:43,880
Speaker 1: she was running away from its perfect. Yeah. You know,

1338
01:10:44,160 --> 01:10:47,640
Speaker 1: fall turkeys would be targets opportunity that white meat's so

1339
01:10:47,800 --> 01:10:51,280
Speaker 1: scarce in the freezer. Oh yeah, It's like it's real

1340
01:10:51,360 --> 01:10:52,960
Speaker 1: hard to pass them up if you have a have

1341
01:10:53,080 --> 01:10:53,800
Speaker 1: a tag for one.

1342
01:10:54,880 --> 01:10:56,720
Speaker 2: Just a lot of eyeballs. That time of year, they're

1343
01:10:56,720 --> 01:11:00,040
Speaker 2: gonna they're gonna be in some bigger flocks. So I

1344
01:11:00,080 --> 01:11:02,600
Speaker 2: did to make a shot where they're running away in

1345
01:11:02,640 --> 01:11:03,320
Speaker 2: the back of the head.

1346
01:11:03,600 --> 01:11:06,000
Speaker 1: Yeah, there's a lot of running involved in the fall

1347
01:11:06,080 --> 01:11:07,920
Speaker 1: turkey from what I've seen.

1348
01:11:08,400 --> 01:11:11,040
Speaker 2: We have an article on our website just called Fall

1349
01:11:11,160 --> 01:11:13,680
Speaker 2: Turkey hunting Tips from Tony Peterson. Tony's one of the

1350
01:11:13,720 --> 01:11:16,400
Speaker 2: best dang turkey hunters I know, so I'd trust the

1351
01:11:16,439 --> 01:11:18,840
Speaker 2: words that he can offer you in that article.

1352
01:11:19,560 --> 01:11:22,280
Speaker 6: One more, Phil Chase is going to Lake Erie next

1353
01:11:22,320 --> 01:11:25,599
Speaker 6: weekend for a four hour trip two to six pm seth.

1354
01:11:25,760 --> 01:11:28,160
Speaker 6: Should he target walleye perch or bass?

1355
01:11:28,600 --> 01:11:31,920
Speaker 1: Mmm? You got. If you're going to Erie, you gotta

1356
01:11:32,240 --> 01:11:32,920
Speaker 1: catch walleye.

1357
01:11:33,720 --> 01:11:34,080
Speaker 2: I like that.

1358
01:11:34,280 --> 01:11:38,720
Speaker 1: Yeah, there's big ones there. Yeah, catch them Walleye. Yeah.

1359
01:11:38,760 --> 01:11:42,759
Speaker 1: That Eerie fishing that we did too, like the dragon

1360
01:11:42,840 --> 01:11:50,080
Speaker 1: Rapola Rapola's around was just shockingly automatic, very productive.

1361
01:11:50,479 --> 01:11:53,960
Speaker 5: Yeah, and yeah, that's like historically Eerie is like a

1362
01:11:54,400 --> 01:11:59,080
Speaker 5: trolling lake, but now a lack of structure, right, Yeah,

1363
01:11:59,520 --> 01:12:03,120
Speaker 5: and but yeah, there are a lot of refishing. Well,

1364
01:12:03,160 --> 01:12:07,640
Speaker 5: there's a lot of like suspended fish in Erie. But

1365
01:12:07,920 --> 01:12:12,400
Speaker 5: these days, with forward facing sonar, I think that's kind

1366
01:12:12,439 --> 01:12:14,840
Speaker 5: of starting to shift where people are casting to them

1367
01:12:15,479 --> 01:12:18,080
Speaker 5: more than trolling these days. Maybe not more then, but

1368
01:12:18,680 --> 01:12:19,760
Speaker 5: they're starting to do more of that.

1369
01:12:19,880 --> 01:12:24,680
Speaker 1: On Erie. We did a big wind drift day a

1370
01:12:24,920 --> 01:12:27,320
Speaker 1: friend of mine and I have this several years ago

1371
01:12:27,920 --> 01:12:33,120
Speaker 1: and just you know, leaded jig heads and like you know,

1372
01:12:33,280 --> 01:12:37,439
Speaker 1: goofy looking plastics and just tapping the bottom on the

1373
01:12:37,479 --> 01:12:42,040
Speaker 1: wind drift. And it was very fun because you were

1374
01:12:42,080 --> 01:12:48,040
Speaker 1: just constantly picking up something between a catfish, drum, walleye bass. Yeah,

1375
01:12:48,320 --> 01:12:50,400
Speaker 1: it was great. Well, there you go. Do that, then

1376
01:12:50,439 --> 01:12:53,000
Speaker 1: you'll catch all kinds of different stuff. That sounds fun,

1377
01:12:53,360 --> 01:12:53,680
Speaker 1: all right.

1378
01:12:53,720 --> 01:12:58,120
Speaker 2: Well, last reminder the Meat Eater Christmas Tour happening this December.

1379
01:12:58,240 --> 01:13:00,920
Speaker 2: Go to the meadeater dot com La tour for those

1380
01:13:01,000 --> 01:13:03,960
Speaker 2: details and pre sale access. And while you're there, check

1381
01:13:04,000 --> 01:13:07,280
Speaker 2: out the tailgate tour. We got four stops left. We'd

1382
01:13:07,320 --> 01:13:09,760
Speaker 2: love to hang out with you guys. See you guys

1383
01:13:09,840 --> 01:13:12,360
Speaker 2: talk hatton fish and everything else. All right, See you

1384
01:13:12,439 --> 01:13:15,040
Speaker 2: back your same time place next week. By now,