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Speaker 1: So to stimulate those neurons, I commonly whip out my

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Speaker 1: zippo and my soft pack of camels and light up

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Speaker 1: a ciggy while battling five foot waves in whirlpools and

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Speaker 1: no winning, because we're a bunch of inbred genetic deficiency

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Speaker 1: to enjoy fishing for other inbred genetic deficients. If it's

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Speaker 1: some kind of like you know, tweedledum olive, I don't

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Speaker 1: need to know it's the name. It's there's a little

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Speaker 1: green flight. That's what they're eating, right, So we're good.

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Speaker 1: If you don't like my ads, I don't care. You

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Speaker 1: can buy a canoe somewhere else. I'm not the only

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Speaker 1: guy in America selling canoes. Good morning, degenerate Anglers, and

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Speaker 1: welcome to Bent the Fishing Podcast. It's feeling confused because

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Speaker 1: it's no longer sure if saying it stroke it on

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Speaker 1: the water yesterday is a good or bad thing. I'm

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Speaker 1: Joe Surmelie, I'm Miles Nulty, and I feel like we're

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Speaker 1: I feel like we're about to dig into a core

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Speaker 1: issue that's facing the fishing community. Yeah, this is d

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Speaker 1: I think we're doing doing good things, doing good service

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Speaker 1: for context. This all stems from a conversation Joe and

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Speaker 1: I had recently when I went out and visited him

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Speaker 1: on that that right coast out there, and some confusion

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Speaker 1: ensued over the use of the verb to stroke in

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Speaker 1: relation to fishing success. The words seems to have opposite

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Speaker 1: meetings on our respective sides of the continent, right, that's right.

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Speaker 1: Indeed it does, because in the conversation you you told

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Speaker 1: me that out west, stroking it on the water meant

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Speaker 1: you absolutely crushed it. You just hammered the fish. And

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Speaker 1: when you said that, it forced me I actually had

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Speaker 1: to check myself. I questioned my own longstanding use of

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Speaker 1: the term, because I have always used it negatively, like

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Speaker 1: stroked it to me means you had a really shitty day,

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Speaker 1: like you caught absolutely nothing. The joke, the joke, of course,

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Speaker 1: being that instead of catching fish, you are just out

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Speaker 1: there like wax in the carrot, you know, flog flog

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Speaker 1: in the bishop, instead of getting getting real ship done

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Speaker 1: on the water. That's aition I knew, and I think

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Speaker 1: I think in in further talking this out, I think

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Speaker 1: I've seen the semantic difference in terms of where it

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Speaker 1: breaks down. But we'll get there before we do though,

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Speaker 1: I'm pretty sure you you like you went on a

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Speaker 1: deep dive? You did? You did? You did science on this?

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Speaker 1: What what did you do? I did? I actually I

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Speaker 1: conducted a little text survey among my buddies and the

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Speaker 1: results we're kind of interesting. This for like a science fair.

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Speaker 1: I would win for this, um stroke hypothesis. Yeah, anyway,

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Speaker 1: all I did, I just simply blast texted the question.

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Speaker 1: When you hear an angler say we stroked it yesterday,

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Speaker 1: what do they mean? So of the fifteen people pulled,

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Speaker 1: which is not a lot of people, right, we're not

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Speaker 1: small samples small sample size exactly, but you know time

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Speaker 1: is of the essence. Okay, Um, I think they were

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Speaker 1: more of it, Peter, Yeah, they just didn't answer me. Right,

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Speaker 1: This is not going in a science journal anyway. Um.

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Speaker 1: Of the fifth teen people pulled, eight of them said

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Speaker 1: that it means you blanked, you skunked, scratched, zeroed. That

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Speaker 1: is the definition. I know. Interestingly though, right, Um, these

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Speaker 1: were all people that fish the Northeast saltwater scene specifically,

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Speaker 1: so they were all Northeast salty guys. That fascinating point

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Speaker 1: makes sense, it is, It is fascinating, and I I

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Speaker 1: am actually truthfully kind of on the edge of my

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Speaker 1: seat to hear the rest of the But before we

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Speaker 1: do that, I gotta I gotta jump in and uh

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Speaker 1: may I suggest that the rod and reel from our

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Speaker 1: good friends at thirteen Fishing might help you East Coasters

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Speaker 1: stroke it less and us West guys stroke them a

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Speaker 1: lot harder and more often. Yes, you can. You can

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Speaker 1: suggest that all you want, as you guys now know,

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Speaker 1: bent is brought to you by the cool people at

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Speaker 1: thirteen Fishing. In Yes, we have both been fishing a

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Speaker 1: ton of their stuff this season. Um, and it's extremely

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Speaker 1: kick ass, very well made. And I gotta say, whether

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Speaker 1: you I don't stroke it good or stroke it bad,

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Speaker 1: you will. You will look good stroking it because thirteen

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Speaker 1: is not afraid to make reels and rods with some

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Speaker 1: flair and pizzazz like I've been. I've been snakehead fishing

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Speaker 1: with their bright green inception sz um beginning of this season,

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Speaker 1: in the end of last um and that bait cast.

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Speaker 1: If nothing else, I'm never going to lose it, like

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Speaker 1: You'll never set it down in big brush and have

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Speaker 1: to hunt for it. It's right, it might even glow

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Speaker 1: in the dark, So good stuff. It's true. Yeah, I'm

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Speaker 1: just how many times did you just say stroke it

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Speaker 1: in one paragraph? You know, by the end if someone

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Speaker 1: were to count the strokes in this episode by the end,

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Speaker 1: you know, and then time it with a Pink Floyd record. No,

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Speaker 1: so trippy, bro. But anyway, anyway, anyway, I want to

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Speaker 1: hear about the remaining seven inches in your poll. Tell

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Speaker 1: me about the polls. Okay, so sick. Out of those

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Speaker 1: remaining seven people had never even heard the term used

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Speaker 1: by anglers. This was completely far into them. Two of them, interestingly,

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Speaker 1: were local to me, and the others were from the

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Speaker 1: Midwest or the South, which includes Florida. But here's the

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Speaker 1: fun part. Here's here. This is science, right, guy, I

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Speaker 1: think sociology. There you go, So you got you're smarter. Um.

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Speaker 1: Despite never hearing anyone utter the phrase stroked it as

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Speaker 1: it relates to fishing, they all guessed that it would

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Speaker 1: have a negative connotation. All right, I think I think

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Speaker 1: your your samples are are skewed considering that it's just

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Speaker 1: your friends. But what's give me the last one? There's

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Speaker 1: one more. And the remaining person was guide Marty Ye,

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Speaker 1: who guides on the Upper Della, where he's a good

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Speaker 1: friend of mine. He's been on this show. Uh. He

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Speaker 1: was the only one in the very small sample of

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Speaker 1: folks that said, stroke it means you nailed it, you

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Speaker 1: crushed right. But Marty, But Marty, this is here we

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Speaker 1: go again. Marty also spent lots of time in the

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Speaker 1: rockies in Alaska, which means you know, he's hung out

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Speaker 1: with you. Positive stroke with us with people. Yeah, And

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Speaker 1: the last thing I'll add, because I enjoyed it. My

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Speaker 1: buddy Jimmy Banano made it a point to clarify that

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Speaker 1: stroke it means you blank, but stroked them means you

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Speaker 1: hammered them. Though I've never even heard I've never heard

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Speaker 1: Jimmy use either of those terms. I've never heard anyone

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Speaker 1: in my circles say we stroked them. It's always we

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Speaker 1: stroked it, and it always means today sucked now. And

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Speaker 1: that's like, that is the critical point of difference. That

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Speaker 1: the them is the thing that defines the difference in

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Speaker 1: these two phrases from different parts of country. See, I've

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Speaker 1: never heard anyone in my circle say they stroked it.

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Speaker 1: But when someone says, oh, we stroked him, it means

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Speaker 1: they absolutely wailed on the fact like that is that

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Speaker 1: is the the highest. If you're gonna describe your day

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Speaker 1: in terms that you know, it's it's next levels. Dude,

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Speaker 1: we stroked him. That that was you got it done.

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Speaker 1: So like when I heard you, like when we were

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Speaker 1: it happened because we were driving around and you were

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Speaker 1: calling friends for a fishing report, and I was sitting

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Speaker 1: next to you and you're on your cell phone and

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Speaker 1: I heard you talking about stroking it and the phrase

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Speaker 1: felt a little awkward, but I thought, you know, I

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Speaker 1: assumed it was the same thing as stroking them, when

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Speaker 1: in actuality, it was a complete opposite. I'm glad you

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Speaker 1: brought up the context so that people just don't think

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Speaker 1: we were just talking about stroking it in general for

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Speaker 1: hours while you were here. Make you bloody, Mary, We'll

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Speaker 1: go sit on on the veranda and talk about stroking it. Yeah,

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Speaker 1: it was, it was a little it was. It was

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Speaker 1: a little confusing. But I feel like through this this uh,

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Speaker 1: this sociological deep dive and and regional questioning, I think

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Speaker 1: we really solved the problem to day. Joe. I you

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Speaker 1: know me too. I feel we've done work today, We've contributed,

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Speaker 1: We've made you all better, smarter, people. I'm very proud

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Speaker 1: of us, But let's move on from stroking our own

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Speaker 1: egos to stroking our fan base because we've got a

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Speaker 1: regional fishing report that we're excited about. This one, we

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Speaker 1: haven't done one well. Difference as as the majority of

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Speaker 1: listeners have caught onto at least, I think our regional

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Speaker 1: reports give us license to to just do some satire

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Speaker 1: and some fiction, to have a little fun. However, this

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Speaker 1: week's report is a legit. Its report is a loose

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Speaker 1: term here. It's more of a commentary. But uh, you

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Speaker 1: guys might recall a news piece that Joe covered not

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Speaker 1: long ago on on the West Virginia gold Rush. Yeah. Yeah,

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Speaker 1: we talked about how West Virginia stocks just these insane

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Speaker 1: numbers of genetically modified golden trout pretty much more than

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Speaker 1: any other state, and listener Zack Smith felt it was

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Speaker 1: his duty as a West Virginia native to clarify why

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Speaker 1: West Virginia is so nuts so for bright orange freak

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Speaker 1: rainbow trout. And Zach actually got his first shout out

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Speaker 1: on this show a long time ago. Some of you

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Speaker 1: may remember he sent us an article that he wrote

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Speaker 1: about chummy for trout um. But after this after the

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Speaker 1: after the audio's act. Don't be shocked if we make

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Speaker 1: him our our full time appellation correspondent. Hey, Fellers, this

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Speaker 1: is just y'all's favorite trout trummer, Zach from West by God, Virginia.

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Speaker 1: So you are recently touched upon a topic that's hotter

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Speaker 1: here than the Taco bell fire sauce. They using my

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Speaker 1: microwab golden trout, and that's the West Virginia gold rush,

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Speaker 1: all right. Now, First, and they explained why we've always

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Speaker 1: stalked a higher proportion of goldie's in the other states.

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Speaker 1: And no, it ain't because we're a bunch of inbred

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Speaker 1: genetic deficiencies who enjoy fishing for other inbred genetic deficiencies.

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Speaker 1: I mean, that would just be a quaintie dick. It's

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Speaker 1: actually because of our affinity to the color gold, not

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Speaker 1: the mineral. We ain't got golden into our hills, were

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Speaker 1: sure as hell got cold. I mean, the two may rhyme,

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Speaker 1: but that's about the limit to their relationship. So the

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Speaker 1: best way to explain our affinity to the color, let's

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Speaker 1: use a religious analogy to flesh this out. So in

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Speaker 1: West Virginia, God is w vs football coach and Jesus

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Speaker 1: is our w V basketball coach. So God, Jesus and

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Speaker 1: all the other disciples will they wear blue and gold

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Speaker 1: uniforms now they out come with the game on Saturday

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Speaker 1: will impact what you're saying in your head on your

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Speaker 1: knees in church on Sunday. Thus, the color gold holds

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Speaker 1: a special place in our hearts. And let me tell

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Speaker 1: you this, once our d n R figures out a

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Speaker 1: way to pread blue trial, West Virginia will truly have

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Speaker 1: exceeded our slogan of almost head, because at that time

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Speaker 1: I'm gonna petition to have our slogan changed too. You

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Speaker 1: know that song by Apple of the Dog say Hello

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Speaker 1: to Heaven. That's right now. The funny thing about that

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Speaker 1: is that there are actually blue trout like I remember

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Speaker 1: I wrote about them years ago, and I'm pretty sure

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Speaker 1: it's a genetic mutation that naturally occurs in hatchery trout,

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Speaker 1: which seems like an oxy moron. I'd i'd have to

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Speaker 1: go re research, but I think, um, it's like the

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Speaker 1: hatcheries can create all the golden trout, they want all

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Speaker 1: the orange ones, but they can't create the blue trout

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Speaker 1: on demand. That just kind of happens naturally, but only

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Speaker 1: the truck trout, and and I've seen it written about

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Speaker 1: most occurring in Pennsylvania hatcheries. So Zach will have to

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Speaker 1: get a merry, merry band of coal miners together and

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Speaker 1: hop the border and go on a rogue stocking mission.

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Speaker 1: I guess that would that would really close the loop.

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Speaker 1: And you're you're, you're right on the blue trout thing.

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Speaker 1: It's a it's a random mutation that occurs in about

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Speaker 1: point zero zero zero zero seven hatchery rainbow, so very rare.

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Speaker 1: And and as you're saying, at least in Pennsylvania, they

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Speaker 1: try to remove all the blue mutants from the stock

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Speaker 1: before they plant the fish, like they don't want those

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Speaker 1: getting into the trucks and out into the streams. And

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Speaker 1: I don't know the reason behind that, but I know

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Speaker 1: they don't. They don't want them getting out in the wild.

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Speaker 1: But your chances of catching one are very rare. So

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Speaker 1: that piece was a great fallow up too to the

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Speaker 1: news story. Ran how about we uh, how about we

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Speaker 1: stick with theme here, Let's do a follow up to

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Speaker 1: a sale bin we did not too long ago. Yeah, yeah, yeah,

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Speaker 1: we're just we're just taking deep dives on previous segments here,

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Speaker 1: but this one is a gem. This is so freaking good,

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Speaker 1: this is amazing. I hope that all of you remember

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Speaker 1: the ad we covered from craig List, written by Jerry

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Speaker 1: Jared with the g Who's selling? Who's selling? Used canoe?

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Speaker 1: And uh, we've learned there's more to the Jerry saga.

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Speaker 1: There's a lot here we kind of dug in thanks

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Speaker 1: to some help. And if you need either a used

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Speaker 1: canoe or a cup of tea, you gotta go can

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Speaker 1: But Jerry, why did you put the hand to pay

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Speaker 1: You don't know what I'm getting. Man, you didn't have

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Speaker 1: to be so hurtful with me, so angry. So a

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Speaker 1: few weeks back, we did a sale bin about Jerry

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Speaker 1: and he was the guy selling a canoe with no

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Speaker 1: photo but a very compelling, if poorly copy edited Craigslist ad,

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Speaker 1: and uh, Jerry gave us the idea for our Billy

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Speaker 1: Wants a Shotgun stickers, which are coming soon. I can

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Speaker 1: I can promise you that many of you expressed interest

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Speaker 1: in this sticker, as we knew you would, Billy Wants Shotgun. Uh.

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Speaker 1: After airing that segment, we got this email that, uh, well,

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Speaker 1: I'll just dig into it here. It came from a

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Speaker 1: guy named Bryan Adams, whose name we're trying really hard

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Speaker 1: not to make fun of right now. But you must

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Speaker 1: really love his music. Huh yeah, he's He's he's pretty,

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Speaker 1: He's pretty good. I guess your gut am right, he is.

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Speaker 1: I'm sorry, Brian can not help myself anyway. Bryan Adams

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Speaker 1: rode into inform us that Jerry's post was not a

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Speaker 1: random one off drunken lark like we thought it was. No, no, no,

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Speaker 1: It turns out Jerry runs a regular satirical canoe sale

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Speaker 1: operation out of his house and uh and best of all,

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Speaker 1: Brian has actually met Jerry. And here here's what what

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Speaker 1: Brian wrote us. He said, you missed the mark on

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Speaker 1: Jerry slightly. He has been running ads for use canoes

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Speaker 1: for well over a year, started pre COVID. He actually

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Speaker 1: buys and sells quite a few of them, gets beat

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Speaker 1: up ones for cheap hammers the dents out, and makes

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Speaker 1: a few bucks. I know because I traded one with

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Speaker 1: him last spring and made the swap at a Trent

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Speaker 1: And gas station. So he actually does sell canoes and

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Speaker 1: a lot of them, but is just looking for conversation

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Speaker 1: you nailed that part. Yeah. Well, so Unfortunately Brian didn't

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Speaker 1: elaborate on his exchange with Jerry. I know station, and

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Speaker 1: I gotta say, right, this is like I grew up

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Speaker 1: in Trenton, My childhood home was in Trenton. This is

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Speaker 1: my turf, and I gotta say, um that that's probably

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Speaker 1: like the most benign handoff that's ever happened at a

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Speaker 1: Trenton gas station because I've spent some time, you know,

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Speaker 1: at Trenton liquor stores before I was of age, and like,

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Speaker 1: you know, so it is what it is, um, But

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Speaker 1: I I can't imagine wanting to spend more than two

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Speaker 1: minutes at a Trenton gas station. And I can't help

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Speaker 1: but wonder how long Brian Adams got stuck there, Like

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Speaker 1: what did they talk about? That's sadly we don't know. Uh.

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Speaker 1: Brian didn't include those details, but he did send us

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Speaker 1: links to a few more posts that Jerry has put

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Speaker 1: up over the years. Yes, yes he did, and we

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Speaker 1: thank him very much that we edited some of those

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Speaker 1: together so that you can better understand and and further

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Speaker 1: appreciate the unstable genius of Jerry the Craigslist canoe guy,

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Speaker 1: and before you read these, I got worried because I

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Speaker 1: was like, man, Billy wants a shotgun was real good?

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Speaker 1: What if the stickers are being made and there's a

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Speaker 1: better Jerry one liner in here? But I'm still pretty

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Speaker 1: sold on Billy wants to show. I don't think I

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Speaker 1: don't think there's a better one liner. But I'm glad

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Speaker 1: we have more to to build on the lower of Jerry.

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Speaker 1: All right, So so here we go, without further ado,

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Speaker 1: some some of Jerry's greatest hits. Last year, I had

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Speaker 1: a bunch of canoes laying around. Yes, I do have

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Speaker 1: a mental problem involving canoes. So I ran these strange

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Speaker 1: ads and tried to make them funny and invited everyone

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Speaker 1: to have a cup of tea in my backyard. Well,

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Speaker 1: I ended up selling a lot of canoes, and I

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Speaker 1: met so many fine people. I sell Coleman's, Grumman's Old Towns,

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Speaker 1: and all manner of fiberglass canoes. I try to keep

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Speaker 1: them around three hundred bucks. If you see an aluminum

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Speaker 1: canoe on Craigslist for six d I will have the

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Speaker 1: same canoe for three. If you don't like my ads,

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Speaker 1: I don't care. You can buy a canoe somewhere else.

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Speaker 1: I'm not the only guy in America selling canoes, so

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Speaker 1: we'll go on here. I had a guy bitch and

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Speaker 1: moan at me for pretending to be clever, and I

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Speaker 1: was told I should just post a picture. I don't

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Speaker 1: know how to post a picture. I will be sixty shortly.

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Speaker 1: The guy who wrote me and bitched me out is

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Speaker 1: obviously a douse, light, a shush, laugh, a buzz kill,

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Speaker 1: and to kill joy, probably sexually frustrated in Wonder's whoy.

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Speaker 1: Nobody likes him. I know why I have to fifteen

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Speaker 1: foot smoker canoes. I like that name. I imagine myself

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Speaker 1: headed down a Class five set of rapids in Colorado

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Speaker 1: or possibly Tanzania. To the right, a waterfall in certain Death.

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Speaker 1: To the left, just a Titanic set of rapids, or

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Speaker 1: was it the other way around. Remember I'm almost sixty

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Speaker 1: and forget a lot of stuff. So to stimulate those neurons,

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Speaker 1: I calmly whip out my zippo and my soft pack

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Speaker 1: of camels and light up a cigy while battling five

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Speaker 1: foot waves in whirlpools. Life jacket, you asked, those are

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Speaker 1: for young children, and we will we will just say whimps,

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Speaker 1: and I'm a smoker in a smoker get it, ha,

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Speaker 1: These smokers are fine canoes. One is painted green and

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Speaker 1: the other just aluminum. Come buy one and hit the

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Speaker 1: rapids while having a hot tea. I am Jerry. Come

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Speaker 1: out chat while you buy a canoe and go enjoy America.

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Speaker 1: Oh god, they're so good. We're gonna We're gonna do

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Speaker 1: a couple others really quick. I can't help myself. The

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Speaker 1: context The title for this next one was glad, I'm

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Speaker 1: not a soda can canoe. Okay, so here's how this

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Speaker 1: one's gonna go. Originally this ad was glad, I'm not

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Speaker 1: a beer can canoe. Some self righteous bastard must not

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Speaker 1: have liked the word beer and flagged my ad. What

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Speaker 1: insert your personal expletive. No one forces you to like

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Speaker 1: the ad, so just move on and do whatever the

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Speaker 1: hell it is you do with your life. Loser, Now

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Speaker 1: to the ad. Imagine you were a piece of aluminum

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Speaker 1: or even some box side, or would you rather be

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Speaker 1: a soda can or a canoe? Soda cans crushed up

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Speaker 1: and thrown in landfills, or recycled into more soda cans,

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Speaker 1: or made into seven thirty seven maxes. Canoes can live forever,

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Speaker 1: pleasing their owners and becoming much loved family members for generations. Okay,

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Speaker 1: last one, I'm gonna do one more. That's the one.

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Speaker 1: What an outstanding weekend. Several people came out, bought canoes,

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Speaker 1: and went out and had fun. They took control of

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Speaker 1: their lives and told their partners to either hop in

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Speaker 1: a canoe and have fun, or go hide in a

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Speaker 1: corner and make sad weeping noises back to the canoe.

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Speaker 1: It is an older old town. That should indicate to

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Speaker 1: you that this canoe is made of tough, hard light fiberglass.

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Speaker 1: It is red in all caps. It's about thirteen feet

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Speaker 1: and four inches. Many people I have found like the

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Speaker 1: short canoes, easily handled, stored, and thrown about. The guys

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Speaker 1: look for the thirteen foot canoes and think they are

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Speaker 1: like twenty ft long. Something about the male perception of length. Ah,

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Speaker 1: if you take it over Niagara Falls, you probably will die.

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Speaker 1: I assume no liability for such behavior. So swing on

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Speaker 1: by by it, have a blast in nature, feel the joy,

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Speaker 1: and send me a picture of your first outing. I

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Speaker 1: will give you a cup of tea to go. H oh, jerry.

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Speaker 1: If you're out there and you're listening. You put the

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Speaker 1: craft in online, use watercraft sales. I will drink a

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Speaker 1: hot toddy to you, sir. Yeah. I second that. Maybe this,

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Speaker 1: maybe this eventually leads to Jerry on the show. I

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Speaker 1: don't I don't know, but a big, a big thank

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Speaker 1: you to Brian Adams for alerting us to the depth

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Speaker 1: of Jerry's catalog. This is for you, Brian. It's true

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Speaker 1: everything do it fun the best thing to come from

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Speaker 1: that for me. Where the terms douse light and shush laugh?

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Speaker 1: I love it. I'm gonna start using them, yeah, you know.

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Speaker 1: I mean, hey man, you're such a shush laugh douse light?

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Speaker 1: Over here? Where? Who says that? Where is it? What

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Speaker 1: is that? I think I think you're kind of undermine

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Speaker 1: the purpose of those, like when you drop in front

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Speaker 1: of them, they're like, dounse light is one of those

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Speaker 1: insults that sounds dirty but isn't, Like that's the whole

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Speaker 1: point of it, Like, oh, that dude's a douse light.

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Speaker 1: It sounds like you're saying something you shouldn't, but you're

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Speaker 1: not that. I like those. I'm a fan of that,

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Speaker 1: and uh, I think I would like to work those

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Speaker 1: into my vernacular as well. Uh, and hopefully you won't

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Speaker 1: be calling me either a doubts letter shows laugh after

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Speaker 1: I completely destroy you in the weekly competition that we

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Speaker 1: call fish News. Fish news that escalated quickly. All right,

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Speaker 1: before we hit news, just a couple of things we

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Speaker 1: got to cover first. I have some very sad news

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Speaker 1: to report. You might remember that in the the inaugural

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Speaker 1: installment of our That's My Bar segment, I shouted out

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Speaker 1: the sipp and dip in Great Falls, Montana and the

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Speaker 1: iconic and venerable piano Pat who brought so much joy

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Speaker 1: to drinkers and parties for over fifty years. I'm sad

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00:22:44,040 --> 00:22:47,399
Speaker 1: to say Pat died earlier this week, and in a

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Speaker 1: rare if there's if there's an upside to this, which

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00:22:51,400 --> 00:22:54,080
Speaker 1: I mean she She died peacefully, all reports indicate with

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Speaker 1: her family, so that's great. But if there's an upside

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Speaker 1: in a rare showing of bipartisan agreement, every single major

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Speaker 1: politician in the state of Montana, both Republican and Democrat,

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Speaker 1: paid tribute to her, every single one. Uh. And I'd say,

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Speaker 1: like achieving that nearly impossible feet just shows how universally

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Speaker 1: beloved she was here in Montana. Uh, and how much

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Speaker 1: we all love drinking in bars, so please just how

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00:23:24,560 --> 00:23:26,680
Speaker 1: about how about everybody right now take a minute and

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00:23:26,800 --> 00:23:29,440
Speaker 1: uh and join us in raising a drink to Pat.

400
00:23:31,800 --> 00:23:34,639
Speaker 1: I when I heard about this, I was personally sad

401
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Speaker 1: because I will never get to experience this. Like since

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00:23:37,840 --> 00:23:42,160
Speaker 1: this first came up, I was like, one day after

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Speaker 1: the COVID's whenever it may be, like, I will get

404
00:23:44,560 --> 00:23:46,920
Speaker 1: out there and I want to go to this bar.

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Speaker 1: I want to go to a lot of the bars

406
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Speaker 1: we've covered, but that one has always stuck with me.

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Speaker 1: People have even suggested since then, they're like, you need

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00:23:53,640 --> 00:23:57,000
Speaker 1: to have piano pat on. What a bunch of people

409
00:23:57,080 --> 00:24:01,359
Speaker 1: would would do with her on this show? We considered it.

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Speaker 1: So it's sad. It's sad. It's sad. Um So sorry

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Speaker 1: sorry to have to pass that news on, but it

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Speaker 1: seemed important to let everybody know. Uh. I also need

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00:24:10,640 --> 00:24:13,480
Speaker 1: to make a correction on a story I reported last week.

414
00:24:14,040 --> 00:24:18,400
Speaker 1: I erroneously claimed that the two and forty pound lake

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00:24:18,400 --> 00:24:21,240
Speaker 1: sturgeon caught by US Fish and Wildlife sampling crew was

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Speaker 1: brought in on Rod and Reel. I think that was magical,

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Speaker 1: thinking I was being overly positive. I don't know, I will,

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Speaker 1: I have to say to you. When I read that story,

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00:24:30,080 --> 00:24:32,600
Speaker 1: it was kind of vague, like I interpreted it that

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Speaker 1: way too. They had a whole thing about fighting the

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Speaker 1: fish and bringing it in, and I just made an

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Speaker 1: assumption that they were doing it on rod and reel.

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Speaker 1: But uh, listener, Jason Kitechuck or Kitchuck, I'm not sure,

424
00:24:43,600 --> 00:24:46,119
Speaker 1: who's a former employee of the Detroit office of the U. S.

425
00:24:46,160 --> 00:24:50,440
Speaker 1: Fish Wildlife Service. Very politely, thank you, Jason, very politely

426
00:24:50,440 --> 00:24:52,879
Speaker 1: informed me that the fish was actually caught on a

427
00:24:52,920 --> 00:24:56,360
Speaker 1: set line. So Joe and my dream of going and

428
00:24:56,640 --> 00:24:58,720
Speaker 1: being part of a sampling crew that's catching these fish

429
00:24:58,760 --> 00:25:00,640
Speaker 1: on rod and reel, that's probably not ever gonna happen.

430
00:25:00,800 --> 00:25:06,000
Speaker 1: So another another dream doused dashed at the head of

431
00:25:06,080 --> 00:25:11,880
Speaker 1: this No doubts remember doust like dolls l shush laugh, Yes, correct.

432
00:25:14,400 --> 00:25:17,199
Speaker 1: Oh well, so that's what we got up top and

433
00:25:17,359 --> 00:25:20,239
Speaker 1: moving on to fish news. Just a little reminder, this

434
00:25:20,280 --> 00:25:23,400
Speaker 1: is a competition. Joe and I do not know which

435
00:25:23,440 --> 00:25:26,159
Speaker 1: stories the other person is bringing to the table, and

436
00:25:26,200 --> 00:25:30,159
Speaker 1: we are competing for the admiration, the love and the

437
00:25:30,200 --> 00:25:33,399
Speaker 1: attention of our audio engineer, Phil who at the end

438
00:25:33,440 --> 00:25:36,760
Speaker 1: will crown one of us the Grand Champ winner for

439
00:25:36,760 --> 00:25:38,880
Speaker 1: the week. Uh, and I think it's you this week.

440
00:25:38,920 --> 00:25:40,960
Speaker 1: You got to lead off? It is It is my

441
00:25:41,080 --> 00:25:43,879
Speaker 1: It is my lead off. Um, So we'll get right

442
00:25:43,920 --> 00:25:46,919
Speaker 1: down to it. This has got to be one of

443
00:25:46,960 --> 00:25:51,680
Speaker 1: the most interesting poaching stories I've ever come across because

444
00:25:51,760 --> 00:25:54,280
Speaker 1: it has a It has a different twist than like

445
00:25:54,320 --> 00:25:57,520
Speaker 1: the usual, you know, like bunch of ship heads losing

446
00:25:57,560 --> 00:26:00,520
Speaker 1: their licenses and being racked with fines they most likely

447
00:26:00,560 --> 00:26:03,720
Speaker 1: won't ever pay anyway, like when they hit the guys

448
00:26:03,760 --> 00:26:07,000
Speaker 1: at the bridge here in Jersey. That's typically what happens.

449
00:26:07,040 --> 00:26:08,760
Speaker 1: So this one, this one though, this comes from the

450
00:26:08,800 --> 00:26:11,719
Speaker 1: Florida Keys, and I found the story on the website

451
00:26:11,760 --> 00:26:16,160
Speaker 1: of the Miami Herald and for starters. The culprit's name

452
00:26:16,880 --> 00:26:22,359
Speaker 1: is Henry dan Zig. No, how lucky is that? How

453
00:26:22,520 --> 00:26:32,160
Speaker 1: blessed must he feel on a daily basis? I mean

454
00:26:32,600 --> 00:26:35,560
Speaker 1: Glenn Danzig. His his real last name is Ann Zwini,

455
00:26:35,720 --> 00:26:38,480
Speaker 1: so they're not related because he added the Danzig later.

456
00:26:38,520 --> 00:26:42,520
Speaker 1: This guy's real birth name is Henry Danzig, which is

457
00:26:42,640 --> 00:26:44,800
Speaker 1: completely irrelevant to the rest of the story, but I'm

458
00:26:44,800 --> 00:26:48,640
Speaker 1: a Danzig fan, so anyway, here's what happened, right. Danzig

459
00:26:48,920 --> 00:26:52,159
Speaker 1: is a hardcore I'm gonna do it every I know

460
00:26:52,440 --> 00:26:55,080
Speaker 1: I know, I'm gonna try to get through it. Danzig

461
00:26:55,320 --> 00:26:58,120
Speaker 1: is a hardcore, lifelong angler that lives in Tavern here,

462
00:26:58,520 --> 00:27:02,399
Speaker 1: and according to the story, he fished so much that

463
00:27:02,480 --> 00:27:05,040
Speaker 1: he actually kept a fridge in his yard that he

464
00:27:05,080 --> 00:27:07,720
Speaker 1: would stock with fresh filets, and anyone in the area,

465
00:27:08,119 --> 00:27:10,640
Speaker 1: uh in need of a meal could always pop by

466
00:27:10,680 --> 00:27:13,720
Speaker 1: and grab some of Danzig's catch of the day for

467
00:27:13,840 --> 00:27:17,160
Speaker 1: your charge. He was also known on occasion to cook

468
00:27:17,240 --> 00:27:20,639
Speaker 1: inexpensive fish dishes made from the fish he caught at

469
00:27:20,640 --> 00:27:23,080
Speaker 1: a small diner in the area that he co owns.

470
00:27:23,920 --> 00:27:27,800
Speaker 1: But it turns out that as generous as Danzig was

471
00:27:27,880 --> 00:27:30,639
Speaker 1: with his haul, he spent a lot of time fishing

472
00:27:30,680 --> 00:27:33,919
Speaker 1: in Bohemian waters, and he got busted by the coast

473
00:27:33,920 --> 00:27:38,160
Speaker 1: Guard last May for bringing back five pounds of reef

474
00:27:38,160 --> 00:27:40,680
Speaker 1: fish from the Castle Bank in the Bahamas. Now that's

475
00:27:40,680 --> 00:27:42,919
Speaker 1: not all at once, mind you. That's sort of like

476
00:27:42,960 --> 00:27:46,920
Speaker 1: the grand tally that the coast he's estimate, uh, since

477
00:27:46,960 --> 00:27:49,720
Speaker 1: they sort of caught onto what he was doing the

478
00:27:49,800 --> 00:27:53,040
Speaker 1: day he got boarded. Danzig and his son and three

479
00:27:53,040 --> 00:27:56,399
Speaker 1: friends had a hundred and sixty seven reef fish of

480
00:27:56,560 --> 00:28:00,800
Speaker 1: various species on board, but he didn't have a license

481
00:28:00,840 --> 00:28:04,480
Speaker 1: to fish in Bohamian waters according to the documents on board.

482
00:28:05,280 --> 00:28:08,280
Speaker 1: And as I understand this, if he had just been

483
00:28:08,320 --> 00:28:12,080
Speaker 1: giving the fish away, it sounds like he'd have only

484
00:28:12,119 --> 00:28:15,640
Speaker 1: had to deal with not having the proper Bahamian license.

485
00:28:16,359 --> 00:28:20,000
Speaker 1: But because he was occasionally selling it in his restaurant

486
00:28:20,200 --> 00:28:23,320
Speaker 1: for commercial gains, it means a charge of a legal

487
00:28:23,359 --> 00:28:26,520
Speaker 1: commercial fishing kind of sticks like he sort of violated

488
00:28:26,560 --> 00:28:30,359
Speaker 1: the Lacy Act, which bands trafficking in a legal fish

489
00:28:30,359 --> 00:28:34,280
Speaker 1: and wildlife right now, according to his lawyer, Dan Gelbert,

490
00:28:35,200 --> 00:28:38,840
Speaker 1: as as he got busted, Danzig fest up. Delbert says,

491
00:28:38,920 --> 00:28:41,520
Speaker 1: you know, he gives most of his fish away to neighbors,

492
00:28:41,560 --> 00:28:46,160
Speaker 1: local organizations, businesses, and friends. But but Danzig knew they

493
00:28:46,160 --> 00:28:48,200
Speaker 1: had him on the sale thing. And and here's what

494
00:28:48,200 --> 00:28:50,120
Speaker 1: he had to say. Quote from the piece, he says,

495
00:28:50,600 --> 00:28:52,360
Speaker 1: I was fishing where I shouldn't have been. We are

496
00:28:52,440 --> 00:28:55,280
Speaker 1: all stewards of our beautiful waterways and I should have

497
00:28:55,360 --> 00:28:58,880
Speaker 1: known better. Now, according to his lawyer, he fully cooperated

498
00:28:58,880 --> 00:29:03,240
Speaker 1: with authorities and immediately asked what he could do to

499
00:29:03,360 --> 00:29:07,000
Speaker 1: make this right. So here's what he did. He struck

500
00:29:07,000 --> 00:29:10,160
Speaker 1: a plea agreement with the U. S. Attorney General's Office.

501
00:29:10,200 --> 00:29:13,280
Speaker 1: Now Danzig might sound like a diner owning fish head

502
00:29:13,320 --> 00:29:16,480
Speaker 1: keys bum, but he's actually a Morgan Stanley financial advisor.

503
00:29:17,200 --> 00:29:22,360
Speaker 1: So he was like, hey, how's about I buy the

504
00:29:22,480 --> 00:29:25,240
Speaker 1: Royal Bahamian Defense Force a brand new thirty ft contender

505
00:29:25,280 --> 00:29:29,240
Speaker 1: tournament with twin Yamaha to fifty four strokes is an apology,

506
00:29:29,360 --> 00:29:34,800
Speaker 1: and the Royal Bahamian Defense Forces were like, sure, okay,

507
00:29:35,080 --> 00:29:39,080
Speaker 1: So he bought them a boat that will help them

508
00:29:39,400 --> 00:29:43,760
Speaker 1: catch more poachers. That is the specific purpose of this

509
00:29:43,840 --> 00:29:47,480
Speaker 1: go fast boat is to help the Bahamian authorities catch

510
00:29:47,760 --> 00:29:52,719
Speaker 1: more poachers like Danzig. Now, to afford that boat, he

511
00:29:52,760 --> 00:29:55,160
Speaker 1: had to sell his own boat, which was a thirty

512
00:29:55,240 --> 00:29:58,760
Speaker 1: nine ft contender called Bodacious. That boat was, of course,

513
00:29:58,800 --> 00:30:00,920
Speaker 1: involved in his own crime, so guess it's it's like

514
00:30:01,040 --> 00:30:03,840
Speaker 1: part of his sort of wiping the slate clean and

515
00:30:03,880 --> 00:30:07,200
Speaker 1: starting over. And Danzig also won't be serving any jail

516
00:30:07,240 --> 00:30:10,480
Speaker 1: time because of his quote extensive record of service to

517
00:30:10,560 --> 00:30:14,320
Speaker 1: his community, which included fundraisers and giving jobs to young

518
00:30:14,400 --> 00:30:19,320
Speaker 1: people at his restaurant. Okay, Apparently several Tavernier residents showed

519
00:30:19,440 --> 00:30:21,960
Speaker 1: up to his sentencing and they were all like, yeah,

520
00:30:21,960 --> 00:30:24,360
Speaker 1: he's he's a real good dude. Gives me fishing stuff,

521
00:30:24,560 --> 00:30:27,160
Speaker 1: good guy, don't throw him in jail, and that that

522
00:30:27,320 --> 00:30:32,760
Speaker 1: kind of work. So, uh, I don't quite know how

523
00:30:32,800 --> 00:30:35,400
Speaker 1: I feel about this. To be honest, it doesn't sound

524
00:30:35,480 --> 00:30:38,600
Speaker 1: like he's screwed up once, you know what I mean. Like,

525
00:30:38,640 --> 00:30:41,719
Speaker 1: it sounds like, over the long course of time, he

526
00:30:41,760 --> 00:30:47,160
Speaker 1: was routinely running to Bohemian waters and bringing back loads

527
00:30:47,160 --> 00:30:50,640
Speaker 1: of fish without a license. So I'm torn between you know,

528
00:30:50,720 --> 00:30:53,400
Speaker 1: he's a good guy that made a bad mistake and

529
00:30:53,480 --> 00:30:57,080
Speaker 1: good on him for righting his wrongs, or he actually

530
00:30:57,160 --> 00:30:59,400
Speaker 1: knew dan well what he was doing and just happens

531
00:30:59,440 --> 00:31:02,280
Speaker 1: to be lucky enough to sort of buy his way

532
00:31:02,320 --> 00:31:05,440
Speaker 1: out of it. I don't really know which one it is,

533
00:31:05,600 --> 00:31:08,960
Speaker 1: but I have never heard a case like that be

534
00:31:09,200 --> 00:31:12,160
Speaker 1: be rectified by dude going, let me buy you a

535
00:31:12,160 --> 00:31:16,160
Speaker 1: three thousand dollar book. Call it good. Okay, Yeah, I'm

536
00:31:17,440 --> 00:31:19,560
Speaker 1: I can feel like my own perception of this is

537
00:31:20,080 --> 00:31:22,560
Speaker 1: like a swinging pendulum, because on the one hand, I'm

538
00:31:22,560 --> 00:31:25,960
Speaker 1: like serial poacher, he knows what he's doing, it's the

539
00:31:26,080 --> 00:31:28,200
Speaker 1: serial thing. It's not like he went out there and

540
00:31:28,240 --> 00:31:30,520
Speaker 1: like one day he was like, oh my god, I

541
00:31:30,520 --> 00:31:31,960
Speaker 1: didn't know I was supposed to be here, but I've

542
00:31:32,000 --> 00:31:34,600
Speaker 1: never been here before. Courton the Coast Guard makes it

543
00:31:34,640 --> 00:31:37,440
Speaker 1: sound like they had proof that he was routinely running

544
00:31:37,440 --> 00:31:41,840
Speaker 1: into behavian waters with no license, so like he knew

545
00:31:41,840 --> 00:31:44,080
Speaker 1: what he was doing and he was he knew it

546
00:31:44,120 --> 00:31:48,239
Speaker 1: was across crossing the line literally in figuratively. But I

547
00:31:48,320 --> 00:31:53,960
Speaker 1: also wish that the response of every poacher was akin

548
00:31:54,040 --> 00:31:59,920
Speaker 1: to this one. Well sure to like, it's not the

549
00:32:00,720 --> 00:32:03,560
Speaker 1: we all we all do wrong. I don't, I don't

550
00:32:03,560 --> 00:32:06,320
Speaker 1: care who you are. We we all sin and and

551
00:32:06,520 --> 00:32:08,680
Speaker 1: cause other people's arm and cross the line from time

552
00:32:08,680 --> 00:32:11,480
Speaker 1: to time. But it's it's how you respond to that

553
00:32:11,480 --> 00:32:14,160
Speaker 1: that really matters. And I think that, uh, this is

554
00:32:14,240 --> 00:32:17,880
Speaker 1: a shining example of responding. Possibly the other The other

555
00:32:17,920 --> 00:32:19,920
Speaker 1: place my mind goes, though, is that this guy has

556
00:32:19,960 --> 00:32:22,840
Speaker 1: the means to do that. He's not poaching fish because

557
00:32:22,840 --> 00:32:28,000
Speaker 1: he's real hungry, right, and and not everybody has the

558
00:32:28,120 --> 00:32:33,000
Speaker 1: ability to just be like, look here's a boat. Yeah,

559
00:32:33,040 --> 00:32:36,280
Speaker 1: and look we've talked on this show before. I have

560
00:32:36,360 --> 00:32:38,440
Speaker 1: some captain buddies down there that you know, when they

561
00:32:38,440 --> 00:32:41,200
Speaker 1: were running, especially during the COVID pandemic, Like if they

562
00:32:41,240 --> 00:32:43,680
Speaker 1: had extra fish, they would throw on Facebook, like we

563
00:32:43,720 --> 00:32:46,200
Speaker 1: have some extra Kingmac, we have whatever if anybody in

564
00:32:46,280 --> 00:32:49,880
Speaker 1: town needs fish. So it seems like for everything this

565
00:32:49,880 --> 00:32:52,440
Speaker 1: this dan Zig dude is done. There's like a tiny

566
00:32:52,480 --> 00:32:55,080
Speaker 1: counter argument, like I commend you for having a fridge

567
00:32:55,080 --> 00:32:58,200
Speaker 1: where locals can come get fresh fish for free. Absolutely

568
00:32:58,240 --> 00:33:01,600
Speaker 1: also pointed out contactless delivery during the pandemic. It's like

569
00:33:01,760 --> 00:33:03,760
Speaker 1: you don't even have to talk to dan Zig. Dan

570
00:33:03,880 --> 00:33:06,880
Speaker 1: Zigg is inside doing Danzig things. You can just show

571
00:33:07,000 --> 00:33:10,400
Speaker 1: up and grab you some yellow tail snapper. But like

572
00:33:11,480 --> 00:33:14,240
Speaker 1: that much of it, like you're you're catching, like you're

573
00:33:14,280 --> 00:33:18,360
Speaker 1: supplying an awful lot of people. It sounds like like

574
00:33:18,440 --> 00:33:25,200
Speaker 1: that's that's a lot of fish. Why don't need five

575
00:33:25,360 --> 00:33:30,080
Speaker 1: hundred pounds of fish that you're mostly giving away? This

576
00:33:30,840 --> 00:33:33,640
Speaker 1: as a very complicated character. I would like to I

577
00:33:33,640 --> 00:33:36,320
Speaker 1: would like to interview him. I would, I really would.

578
00:33:36,360 --> 00:33:37,840
Speaker 1: I would love to be able to sit down and

579
00:33:37,880 --> 00:33:41,400
Speaker 1: just kind of pick Danzig's brain. We'll pick Glenn Danzig

580
00:33:41,560 --> 00:33:45,000
Speaker 1: against Henry dan Zigg in a in a point counterpoint

581
00:33:45,040 --> 00:33:49,640
Speaker 1: on fish poaching. I like it, So can you arrange

582
00:33:49,720 --> 00:33:53,960
Speaker 1: that Danzig? Did you get on the Danzig Show? Danzig episode?

583
00:33:54,960 --> 00:33:58,040
Speaker 1: So yeah, it's there's more to the story. We won't

584
00:33:58,080 --> 00:34:00,640
Speaker 1: figure it all out today, but it's like just had

585
00:34:00,640 --> 00:34:05,040
Speaker 1: me going, oh good for him? Oh yeah, yeah, No.

586
00:34:05,400 --> 00:34:07,280
Speaker 1: I love the complexity of this when it's not a

587
00:34:07,320 --> 00:34:11,600
Speaker 1: simple good guy bad guys seeing well done, Bahama is

588
00:34:11,600 --> 00:34:16,320
Speaker 1: good on you enjoy that conder with twin to fifty

589
00:34:16,400 --> 00:34:21,200
Speaker 1: yamahas go catch some poachers. Um. I think that the

590
00:34:21,280 --> 00:34:25,040
Speaker 1: bridge between that story and my next one is unsustainable

591
00:34:25,080 --> 00:34:29,600
Speaker 1: harvest of fish and finding ways clean simple bridge, make

592
00:34:29,680 --> 00:34:32,320
Speaker 1: that to make that work? Uh? And this one that

593
00:34:32,320 --> 00:34:36,080
Speaker 1: I'm gonna talk about, Dude, I've been so stuck on

594
00:34:36,160 --> 00:34:38,279
Speaker 1: the c Spiracy thing, like I can't get it out

595
00:34:38,280 --> 00:34:40,239
Speaker 1: of my head, and how annoyed I am about it,

596
00:34:40,280 --> 00:34:43,120
Speaker 1: and I just keep finding myself like in my mind

597
00:34:43,400 --> 00:34:46,560
Speaker 1: arguing with the makers of c Spiracy all the time,

598
00:34:46,840 --> 00:34:49,640
Speaker 1: which is pointless and dumb because they're wrong. But have

599
00:34:49,680 --> 00:34:52,040
Speaker 1: you watched it multiple times? No, just the ones. I

600
00:34:52,080 --> 00:34:54,040
Speaker 1: don't want to do it again. I just want to

601
00:34:54,040 --> 00:34:58,280
Speaker 1: be watching it over and over. It's an ongoing dialogue

602
00:34:58,320 --> 00:35:00,279
Speaker 1: in my head with people who don't know eggs ist

603
00:35:00,400 --> 00:35:05,799
Speaker 1: and me telling them why they're wrong and creating problematic propaganda.

604
00:35:05,880 --> 00:35:10,160
Speaker 1: But I'm gonna talk about another example of science disagreeing

605
00:35:10,880 --> 00:35:15,160
Speaker 1: with that c spiracy propaganda. A study recently published in

606
00:35:15,200 --> 00:35:19,600
Speaker 1: the journal Marine Policy suggests a potentially effective solution for

607
00:35:19,719 --> 00:35:25,640
Speaker 1: maintaining sustainable fish stocks in marine ecosystems, even in areas

608
00:35:25,680 --> 00:35:30,080
Speaker 1: that are being unsustainably fished. And just to be clear, no,

609
00:35:30,680 --> 00:35:33,759
Speaker 1: the answer is not ending all fish harvest and to

610
00:35:33,800 --> 00:35:38,319
Speaker 1: stop eating fish. That's not the answer. In fact, this

611
00:35:38,440 --> 00:35:43,160
Speaker 1: research seems to suggest that implementing strict protections in a

612
00:35:43,239 --> 00:35:47,840
Speaker 1: limited part of an area can produce significant positive impacts

613
00:35:47,840 --> 00:35:51,239
Speaker 1: on the fish population across the whole area. Researchers in

614
00:35:51,360 --> 00:35:56,080
Speaker 1: Kenya wanted to figure out which management tools could provide

615
00:35:56,120 --> 00:35:59,560
Speaker 1: the greatest benefit to their fair stocks, so they looked

616
00:35:59,560 --> 00:36:04,320
Speaker 1: at these two distinct areas where different regulations on commercial

617
00:36:04,360 --> 00:36:09,319
Speaker 1: fishermen were being aggressively enforced. In one area, they had

618
00:36:09,640 --> 00:36:13,640
Speaker 1: fishing gear restrictions, including a ban on fine meshed nets

619
00:36:13,800 --> 00:36:18,279
Speaker 1: and another gear that's considered destructive, and another area, the

620
00:36:18,320 --> 00:36:22,920
Speaker 1: gear went totally unrestricted, but thirty percent of the fishing

621
00:36:22,920 --> 00:36:26,960
Speaker 1: grounds were set aside as a no take marine protected

622
00:36:27,000 --> 00:36:29,879
Speaker 1: area where fishermen were not allowed to harvest any life

623
00:36:29,880 --> 00:36:34,600
Speaker 1: at all. And the results of this were stark. Fish

624
00:36:34,640 --> 00:36:38,680
Speaker 1: populations in the area with the protected zone rose by

625
00:36:38,840 --> 00:36:46,319
Speaker 1: forty two huge jump, and individual catch rates for for

626
00:36:46,400 --> 00:36:51,400
Speaker 1: the individual fishermen fishing there increased twenty five times faster

627
00:36:52,160 --> 00:36:58,080
Speaker 1: than in the area with gear restrictions. So that's that's

628
00:36:58,080 --> 00:37:02,400
Speaker 1: those are staggering, I can say like that, that's huge.

629
00:37:02,920 --> 00:37:06,760
Speaker 1: According to the researchers, no take protected areas were quote

630
00:37:07,239 --> 00:37:11,719
Speaker 1: far more effective at sustaining stocks of fish than restricting

631
00:37:11,760 --> 00:37:15,799
Speaker 1: destructive gear. And here's how it worked. The different regulations

632
00:37:15,800 --> 00:37:19,320
Speaker 1: were implemented in two different counties, which from what I

633
00:37:19,360 --> 00:37:22,239
Speaker 1: can gather is that the terminology that Kenya uses to

634
00:37:22,280 --> 00:37:26,680
Speaker 1: divide up their fishing zones. Researchers monitored a half dozen

635
00:37:26,760 --> 00:37:30,839
Speaker 1: boat landing sites in each county, recording fish catches at

636
00:37:30,880 --> 00:37:34,399
Speaker 1: each and and here's the really unique aspect that makes

637
00:37:34,440 --> 00:37:38,520
Speaker 1: these findings particularly valuable. The team monitored these fisheries and

638
00:37:38,600 --> 00:37:44,760
Speaker 1: regulations for twenty four years before publishing the results, making

639
00:37:44,800 --> 00:37:49,200
Speaker 1: this the longest ever longitudinal study of detailed fish catches

640
00:37:49,440 --> 00:37:54,520
Speaker 1: for an inshore marine area. No kidding, that's wow. Twenty

641
00:37:54,600 --> 00:38:00,400
Speaker 1: four years years, take that ship at Spiracy, read some

642
00:38:00,480 --> 00:38:04,320
Speaker 1: online articles, and spend six months flying around the country

643
00:38:04,800 --> 00:38:10,200
Speaker 1: the world. The time and resources required to conduct multidecade

644
00:38:10,239 --> 00:38:14,279
Speaker 1: studies like this have previously impeded testing the long term

645
00:38:14,320 --> 00:38:18,120
Speaker 1: effectiveness of no take marine protected areas. Right like m

646
00:38:18,160 --> 00:38:20,160
Speaker 1: p as have been a hot topic for a while,

647
00:38:20,760 --> 00:38:23,160
Speaker 1: but no one's ever had the ability to study them

648
00:38:23,200 --> 00:38:26,160
Speaker 1: for this long. Most research on mp as has been

649
00:38:26,160 --> 00:38:31,600
Speaker 1: based on much shorter duration studies or on simulation models. Interestingly,

650
00:38:31,880 --> 00:38:36,040
Speaker 1: the findings of this research actually support what those simulations

651
00:38:36,120 --> 00:38:40,400
Speaker 1: have suggested. According to the studies lead author Dr Tim Clanahan, quote,

652
00:38:40,760 --> 00:38:43,840
Speaker 1: the not take area in Mombassa occupied thirty percent of

653
00:38:43,840 --> 00:38:48,160
Speaker 1: the studied fishing grounds. Fortuitously, this is the target for

654
00:38:48,280 --> 00:38:53,040
Speaker 1: protection being proposed for the oceans, which is rarely tested

655
00:38:53,080 --> 00:38:56,000
Speaker 1: and based on the results of simulation models. The empirical

656
00:38:56,040 --> 00:38:59,520
Speaker 1: support for the models and the conservation proposal is reassuring.

657
00:39:00,239 --> 00:39:02,840
Speaker 1: Adds to the evidence that no take protected areas of

658
00:39:02,880 --> 00:39:08,200
Speaker 1: sufficient coverage may compensate for the lost fishing grounds, particularly

659
00:39:08,440 --> 00:39:12,799
Speaker 1: when fisheries are not sustainably fished. So This is just

660
00:39:12,920 --> 00:39:16,520
Speaker 1: one study in one particular area, but it seems like

661
00:39:16,600 --> 00:39:20,719
Speaker 1: a pretty damn comprehensive and compelling one. It seems to

662
00:39:20,760 --> 00:39:23,879
Speaker 1: suggest that if we can find a way to successfully

663
00:39:23,920 --> 00:39:26,399
Speaker 1: protect thirty percent of the world's oceans for at least

664
00:39:26,400 --> 00:39:30,400
Speaker 1: a couple of decades, the resulting increased productivity in the

665
00:39:30,440 --> 00:39:33,759
Speaker 1: other seventy percent of the fisheries will more than make

666
00:39:33,840 --> 00:39:37,040
Speaker 1: up for what we lose in fishing areas. And I'm

667
00:39:37,080 --> 00:39:39,200
Speaker 1: not like, I'm not being all Pollyanna. I'm not saying

668
00:39:39,200 --> 00:39:42,279
Speaker 1: that would be easy. Like the feasibility of trying to

669
00:39:42,320 --> 00:39:45,000
Speaker 1: do that and enforce it is huge. Yeah, And that's

670
00:39:45,000 --> 00:39:48,080
Speaker 1: what pops into my head. It's like, okay, great plan. Now,

671
00:39:48,120 --> 00:39:50,320
Speaker 1: like if you just take one fishery, like bluefin in

672
00:39:50,360 --> 00:39:53,560
Speaker 1: the US, it's like, how do you decide who gets

673
00:39:53,560 --> 00:39:57,480
Speaker 1: stuck with thet of protected area, you know, off their coasts?

674
00:39:57,520 --> 00:40:01,360
Speaker 1: I mean, like figuring out which areas need that protection

675
00:40:01,400 --> 00:40:04,600
Speaker 1: has got to be mess. It's it's it's it's a mess. There,

676
00:40:04,640 --> 00:40:07,759
Speaker 1: there's there's no question. And and but the thing is like,

677
00:40:07,840 --> 00:40:11,080
Speaker 1: at least this offers some hope. Yeah, right, and this

678
00:40:11,120 --> 00:40:13,200
Speaker 1: is this is what we need more of in my opinion,

679
00:40:13,320 --> 00:40:16,480
Speaker 1: we we need informed research that says like, hey, we

680
00:40:16,520 --> 00:40:19,280
Speaker 1: can deal with these massive problems if we can find

681
00:40:19,360 --> 00:40:22,400
Speaker 1: ways to implement the changes, and and I find that

682
00:40:22,560 --> 00:40:28,080
Speaker 1: far more productive and inspiring and effective than I don't know, say,

683
00:40:28,120 --> 00:40:31,799
Speaker 1: emotional and fear based media screaming that the oceans in

684
00:40:31,840 --> 00:40:33,600
Speaker 1: the planet are doomed and it's all your fault because

685
00:40:33,640 --> 00:40:36,200
Speaker 1: you ate sushi last night like that. That's not going

686
00:40:36,239 --> 00:40:38,480
Speaker 1: to guess where we need to be. It's it's movements

687
00:40:38,480 --> 00:40:40,920
Speaker 1: like this and say, hey, we suggest that if we

688
00:40:40,960 --> 00:40:44,160
Speaker 1: can find a way to set aside, there's hope. That's

689
00:40:44,200 --> 00:40:47,600
Speaker 1: what gets people going. That's what gets ship done, not

690
00:40:47,600 --> 00:40:49,759
Speaker 1: not scaring the pants off of everyone and tell them

691
00:40:49,760 --> 00:40:52,759
Speaker 1: that they're evil. I wish more people would would hear

692
00:40:52,800 --> 00:40:55,440
Speaker 1: this and get behind this, as opposed to the headlines

693
00:40:55,480 --> 00:40:59,560
Speaker 1: that the sspiracy kid is making now demanding that the

694
00:40:59,600 --> 00:41:02,719
Speaker 1: president just like shut down all seafood something like that,

695
00:41:02,840 --> 00:41:08,960
Speaker 1: like just demanding demanding we're just walking away from science altogether.

696
00:41:09,000 --> 00:41:12,399
Speaker 1: It's just who cares? Who cares what science? To say?

697
00:41:12,560 --> 00:41:17,480
Speaker 1: I feel that I'm right, yeah, well, very very uplifting,

698
00:41:17,600 --> 00:41:21,000
Speaker 1: and the twenty four years is sticking with me, like

699
00:41:21,080 --> 00:41:26,759
Speaker 1: that's like, that's hard to mess with. Twenty years to

700
00:41:26,840 --> 00:41:30,799
Speaker 1: me seems like such a such the right amount of time. Again,

701
00:41:30,800 --> 00:41:33,000
Speaker 1: I always go back to snakeheads, but twenty years ago

702
00:41:33,040 --> 00:41:36,240
Speaker 1: they were going to destroy the entire East Coast. Twenty

703
00:41:36,320 --> 00:41:38,480
Speaker 1: years is a long time, and now look how that's

704
00:41:38,520 --> 00:41:40,680
Speaker 1: come around. So like, if you have that much data

705
00:41:40,760 --> 00:41:44,840
Speaker 1: that many years to decades worth, that's much much harder

706
00:41:44,960 --> 00:41:48,680
Speaker 1: to argue with population dynamics change slowly. You've got to

707
00:41:48,719 --> 00:41:50,560
Speaker 1: have a time scale to really look at that in

708
00:41:50,560 --> 00:41:59,399
Speaker 1: a way that makes any sense exactly. You did talk

709
00:41:59,440 --> 00:42:03,359
Speaker 1: about gear are restrictions though, So I'm gonna transition into

710
00:42:03,360 --> 00:42:06,600
Speaker 1: self imposed gear restrictions, things I say you should not

711
00:42:06,640 --> 00:42:10,760
Speaker 1: be using. I like the thing we're moving into Joe's

712
00:42:10,840 --> 00:42:13,000
Speaker 1: personal opinion on gear here, All right, what do you got?

713
00:42:13,320 --> 00:42:15,239
Speaker 1: We are? And sometimes I feel like I'm beating a

714
00:42:15,280 --> 00:42:18,640
Speaker 1: dead horse by ragging on technologically advanced lawyers. But it's

715
00:42:18,640 --> 00:42:22,040
Speaker 1: it's like kind of become it's kind of become my beat.

716
00:42:22,360 --> 00:42:25,000
Speaker 1: Like the loyal listeners of Bent have come to expect

717
00:42:25,040 --> 00:42:29,359
Speaker 1: that I will keep them apprized of horseshittery coming down

718
00:42:29,360 --> 00:42:33,400
Speaker 1: the pike in Laura gimmickry, so I'm doing it's this

719
00:42:33,560 --> 00:42:35,920
Speaker 1: is my duty. Not long ago, I did that story

720
00:42:36,600 --> 00:42:38,920
Speaker 1: about the hackers hacking into the smart heater and the

721
00:42:38,920 --> 00:42:42,160
Speaker 1: Casino fish tank. Remember that, and you made fun of

722
00:42:42,160 --> 00:42:44,120
Speaker 1: me a little bit because it had so little to

723
00:42:44,360 --> 00:42:48,280
Speaker 1: do with fishing, though it was worth it for fills.

724
00:42:48,360 --> 00:42:53,319
Speaker 1: Nod to Ocean's eleven alone. Okay, that that was the

725
00:42:53,360 --> 00:42:58,680
Speaker 1: best fill response we've ever had. Anyway, when when I

726
00:42:58,719 --> 00:43:01,400
Speaker 1: did that report, I said, everything keeps getting smarter and smarter.

727
00:43:01,480 --> 00:43:05,080
Speaker 1: So we've talked about animated lures and robotic lures on

728
00:43:05,120 --> 00:43:09,600
Speaker 1: this show. But the Model zero from Japanese company wait

729
00:43:09,680 --> 00:43:12,640
Speaker 1: for it, smart lure, it's not just a clever name,

730
00:43:13,120 --> 00:43:16,800
Speaker 1: has leveled the game up. Okay, you're animated lure is

731
00:43:16,840 --> 00:43:20,239
Speaker 1: now in Nokia. It is already obsolete, and this is

732
00:43:20,239 --> 00:43:24,440
Speaker 1: the iPhone thirties. So I will spare us the pr

733
00:43:24,560 --> 00:43:26,840
Speaker 1: speak in the beginning of this article on New Atlas

734
00:43:26,920 --> 00:43:30,120
Speaker 1: dot com about how the biggest problem facing anglers everywhere

735
00:43:30,200 --> 00:43:33,120
Speaker 1: is keeping track of which strategies work. Okay, we don't,

736
00:43:33,200 --> 00:43:36,319
Speaker 1: we've heard that before. We'll just we'll cut to the chase.

737
00:43:36,800 --> 00:43:40,319
Speaker 1: The Model zero is a pretty big jerk. Bait style lure,

738
00:43:40,760 --> 00:43:43,400
Speaker 1: and it looks very similar to a like a Yourssouri

739
00:43:43,520 --> 00:43:45,719
Speaker 1: crystal minnow if you guys can picture that, if you

740
00:43:45,719 --> 00:43:48,400
Speaker 1: know what that looks like. On the back, however, is

741
00:43:48,440 --> 00:43:53,319
Speaker 1: this weird hinge metal maybe plastic metallic fin that I

742
00:43:53,320 --> 00:43:55,880
Speaker 1: assume is supposed to kick back and forth like a tail,

743
00:43:55,920 --> 00:43:57,719
Speaker 1: But to me, it's so awkward. It looks like it

744
00:43:57,920 --> 00:44:00,320
Speaker 1: would get in the way of the fish getting the

745
00:44:00,360 --> 00:44:03,640
Speaker 1: rear hook. And of course, the Model zero is super smart.

746
00:44:04,080 --> 00:44:09,600
Speaker 1: Here's what it does. It monitors the depth it reached

747
00:44:09,719 --> 00:44:14,880
Speaker 1: during every retrieve. It's exact movement patterns like speed, amount

748
00:44:14,920 --> 00:44:19,800
Speaker 1: of pauses, etcetera, water temperature and the amount of sunlight

749
00:44:19,960 --> 00:44:23,560
Speaker 1: penetrating the water at whatever depth it was running at.

750
00:44:24,640 --> 00:44:27,960
Speaker 1: After the retrieve, simply hold the Model zero next to

751
00:44:27,960 --> 00:44:30,839
Speaker 1: your phone and it transferred all that data into an

752
00:44:30,960 --> 00:44:34,480
Speaker 1: archive in the smart lorder app. Furthermore, and this is

753
00:44:34,520 --> 00:44:38,800
Speaker 1: the best part, it has a GPS function and instantly

754
00:44:38,840 --> 00:44:42,040
Speaker 1: creates a map showing the tracks of everywhere it's been

755
00:44:42,640 --> 00:44:45,200
Speaker 1: so and we've all been here. If you're like, wait,

756
00:44:45,960 --> 00:44:51,360
Speaker 1: did I already cast under that tree? You just fire

757
00:44:51,440 --> 00:44:53,520
Speaker 1: up your phone, fire up the app, and you'll know

758
00:44:53,640 --> 00:44:55,560
Speaker 1: and be like I did, I already put one under

759
00:44:55,600 --> 00:45:02,280
Speaker 1: that tree. I say, this takes more time just throwing

760
00:45:02,320 --> 00:45:04,560
Speaker 1: an extra cast up under that tree. Or look at

761
00:45:04,760 --> 00:45:06,880
Speaker 1: pulling out your phone and looking at your map and

762
00:45:06,880 --> 00:45:09,120
Speaker 1: being like, oh, I did already. Like this is what

763
00:45:09,160 --> 00:45:11,560
Speaker 1: I'm saying, right Like, this is why this this stuff

764
00:45:11,640 --> 00:45:14,040
Speaker 1: is so stupid. Um, And I gotta tell you there's

765
00:45:14,080 --> 00:45:17,720
Speaker 1: there's a video in the article with just a couple

766
00:45:17,719 --> 00:45:20,759
Speaker 1: of seconds of underwater footage, and I'm here to tell

767
00:45:20,800 --> 00:45:24,680
Speaker 1: you the Model Zero it swims like ass like it's

768
00:45:24,719 --> 00:45:28,440
Speaker 1: not good, Like it does not have good action, like

769
00:45:28,600 --> 00:45:31,520
Speaker 1: it seems to me like they very strategically did not

770
00:45:32,040 --> 00:45:34,800
Speaker 1: give you a lot of underwater clips of it moving

771
00:45:34,800 --> 00:45:38,040
Speaker 1: because I don't think it moves very well. The company's slogan,

772
00:45:38,480 --> 00:45:41,640
Speaker 1: by the way, which I I'm sure was lost in

773
00:45:41,760 --> 00:45:46,120
Speaker 1: Japanese to English translation, is for anglers who love the

774
00:45:46,239 --> 00:45:51,440
Speaker 1: discoveries at fishing is the company's slogan. UM. You can

775
00:45:51,480 --> 00:45:54,120
Speaker 1: also share your data with all the other fraction of

776
00:45:54,160 --> 00:45:56,240
Speaker 1: a percent of people who are using the Model zero

777
00:45:56,280 --> 00:45:59,000
Speaker 1: in your area. But my favorite part of the article

778
00:45:59,200 --> 00:46:02,920
Speaker 1: was was this of warning right direct quote. While this

779
00:46:03,000 --> 00:46:06,280
Speaker 1: is an interesting concept. It should of course be noted

780
00:46:06,320 --> 00:46:10,720
Speaker 1: that anglers regularly lose lures when larger fish snapped the line,

781
00:46:11,200 --> 00:46:14,440
Speaker 1: or when the lures get snagged on underwater objects, to

782
00:46:14,480 --> 00:46:17,040
Speaker 1: which I say, why don't you make it smart enough

783
00:46:17,200 --> 00:46:22,520
Speaker 1: to avoid underwater objects? Smart guy, Okay, and then it

784
00:46:22,560 --> 00:46:26,520
Speaker 1: goes on. Additionally, because the technology is specific to the

785
00:46:26,560 --> 00:46:30,799
Speaker 1: Model zero lure, users can't gather data on the performance

786
00:46:30,800 --> 00:46:34,560
Speaker 1: of lures made by other manufacturers. No ship, I mean

787
00:46:34,640 --> 00:46:38,920
Speaker 1: that's like the no kid. You don't say um now

788
00:46:38,960 --> 00:46:41,960
Speaker 1: if you want one, which you don't, because this is

789
00:46:42,000 --> 00:46:45,799
Speaker 1: a muskie striper's size lure. It's a giant lure, and

790
00:46:45,840 --> 00:46:48,799
Speaker 1: it has to be as these things usually start out.

791
00:46:48,840 --> 00:46:51,359
Speaker 1: It has to be big because you're fitting like a

792
00:46:51,400 --> 00:46:55,160
Speaker 1: motherboard and chips and all kinds of stuff inside the lure.

793
00:46:55,480 --> 00:46:57,640
Speaker 1: But if you did want one, you can purchase one

794
00:46:57,719 --> 00:47:01,520
Speaker 1: right now on Kickstarter hundred and forty bucks for one

795
00:47:01,640 --> 00:47:09,360
Speaker 1: Model zero leveling up smart Lord's right there. Wow uh

796
00:47:09,440 --> 00:47:12,800
Speaker 1: oh yeah. This thing sounds essentially worthless and stupid. But

797
00:47:12,920 --> 00:47:15,960
Speaker 1: my concern here is, as we know, technology continues to

798
00:47:16,000 --> 00:47:20,200
Speaker 1: improve and get smaller and more efficient, and what if

799
00:47:20,320 --> 00:47:24,160
Speaker 1: every rattle trap you buy in the future. Don't see it.

800
00:47:24,560 --> 00:47:27,279
Speaker 1: Don't see it because because I because I am convinced,

801
00:47:27,400 --> 00:47:29,319
Speaker 1: right and I will, I will die on this hill.

802
00:47:29,960 --> 00:47:34,279
Speaker 1: I am convinced that all these things will only ever

803
00:47:34,520 --> 00:47:39,279
Speaker 1: really cater to like people who peripherally fish, or like

804
00:47:39,360 --> 00:47:42,760
Speaker 1: this gimmicky stuff, or or get sold on the idea

805
00:47:42,840 --> 00:47:44,880
Speaker 1: that this is going to take them from a zero

806
00:47:44,960 --> 00:47:49,400
Speaker 1: at fishing to a hero. Whereas real died in the wool.

807
00:47:49,440 --> 00:47:54,760
Speaker 1: Anglers are never going to jump on this. What about

808
00:47:54,760 --> 00:47:59,520
Speaker 1: the tournament scene, because tournament angling dictates what's cool and

809
00:47:59,520 --> 00:48:02,879
Speaker 1: popular and fishing, and tournament anglers will adopt any technology

810
00:48:02,880 --> 00:48:04,919
Speaker 1: that I think gives them a leg up because there's

811
00:48:04,960 --> 00:48:07,520
Speaker 1: money on the line, right, But I think we're a

812
00:48:07,520 --> 00:48:13,000
Speaker 1: long way away from this being accepted as standards in

813
00:48:13,040 --> 00:48:16,680
Speaker 1: practice in fishing, and in the meantime, I don't see

814
00:48:16,680 --> 00:48:20,719
Speaker 1: tournaments allowing this kind of thing, not right now anyway.

815
00:48:21,200 --> 00:48:25,880
Speaker 1: M hm, you know No, I hope you're right. I

816
00:48:25,920 --> 00:48:28,919
Speaker 1: hope I hope that doesn't doesn't happen, and I hope

817
00:48:28,960 --> 00:48:32,680
Speaker 1: you continue to stay on this beat. I enjoy this

818
00:48:32,760 --> 00:48:36,600
Speaker 1: beat very much like we don't tell these stories if

819
00:48:36,600 --> 00:48:38,279
Speaker 1: I see them, because I'm like, oh, Joe's got that.

820
00:48:38,600 --> 00:48:39,960
Speaker 1: I know, we do what we do a lot of

821
00:48:40,000 --> 00:48:43,439
Speaker 1: gimmick bashing on here and and I enjoy it very much.

822
00:48:43,760 --> 00:48:45,400
Speaker 1: But again, like to your point, like we look at

823
00:48:45,320 --> 00:48:47,560
Speaker 1: a lot of this stuff, like the zombade we've brought

824
00:48:47,600 --> 00:48:51,759
Speaker 1: that up. I don't know any serious hardcore offshore captains

825
00:48:52,200 --> 00:48:55,200
Speaker 1: who hurried up to buy that, and that's been around

826
00:48:55,200 --> 00:48:58,280
Speaker 1: for a while. So that's how I feel about this stuff,

827
00:48:58,280 --> 00:49:02,080
Speaker 1: like it's it's it's not really being made for people

828
00:49:02,440 --> 00:49:06,560
Speaker 1: who seriously fish, at least not yet. I think that's

829
00:49:06,560 --> 00:49:09,080
Speaker 1: and that's that last piece that that concerns me. But

830
00:49:09,200 --> 00:49:11,879
Speaker 1: I shouldn't be because, like you said, it's not happening now,

831
00:49:12,040 --> 00:49:13,880
Speaker 1: so why worry about something that may or made a

832
00:49:13,920 --> 00:49:17,080
Speaker 1: hype in the future. Good. So that's I mean, you're

833
00:49:17,120 --> 00:49:19,759
Speaker 1: you're you're reporting on the collection of data in a

834
00:49:19,800 --> 00:49:22,600
Speaker 1: way that I think is is potentially problematic. My final

835
00:49:22,640 --> 00:49:26,680
Speaker 1: story is also about the collection of data and fish,

836
00:49:26,840 --> 00:49:29,200
Speaker 1: but in a way that I think is just fantastic.

837
00:49:29,640 --> 00:49:32,960
Speaker 1: I might have a new favorite fishing state, even though

838
00:49:32,960 --> 00:49:37,000
Speaker 1: I've never ever fished there. I also I also might

839
00:49:37,040 --> 00:49:40,319
Speaker 1: have a new fishing hero, even though I've never even

840
00:49:40,320 --> 00:49:43,400
Speaker 1: met the guy. But I'll explain it all. You just

841
00:49:43,440 --> 00:49:45,560
Speaker 1: came out here, so it's obviously not New Jersey and

842
00:49:45,560 --> 00:49:48,040
Speaker 1: you've met me, so clearly I'm not your hero. No,

843
00:49:48,160 --> 00:49:51,560
Speaker 1: this is not an homage to why you're my hero. Sorry,

844
00:49:52,200 --> 00:49:57,680
Speaker 1: I just recently learned about the Virginia game fish tagging program.

845
00:49:57,719 --> 00:50:00,719
Speaker 1: Are you familiar with this? I'm not all You're in

846
00:50:00,800 --> 00:50:04,080
Speaker 1: for a treat. Frequent listeners to this show will know how.

847
00:50:04,239 --> 00:50:08,879
Speaker 1: Like Joe likes gimmicks, I love citizen science and and

848
00:50:09,080 --> 00:50:13,640
Speaker 1: the role that that anglers can play in monitoring managing fisheries.

849
00:50:13,680 --> 00:50:15,640
Speaker 1: I think that's so cool because I mean, it's the

850
00:50:15,719 --> 00:50:18,120
Speaker 1: two things we look for at the market. I got

851
00:50:18,120 --> 00:50:20,799
Speaker 1: for gimmicks and you're looking for citizens season Scie. Does

852
00:50:20,880 --> 00:50:26,080
Speaker 1: anyone anyone? But for as much as I love it,

853
00:50:26,120 --> 00:50:28,719
Speaker 1: And we've talked about some programs in the past, very

854
00:50:28,719 --> 00:50:32,240
Speaker 1: few states effectively leverage, in my opinion, the potential value

855
00:50:32,239 --> 00:50:35,040
Speaker 1: of their anglers, and and it seems like maybe none

856
00:50:35,120 --> 00:50:37,680
Speaker 1: do it as well as Virginia. So back in the

857
00:50:37,719 --> 00:50:42,520
Speaker 1: nineteen eighties, leadership from the Virginia Marine Resources Commission, the

858
00:50:42,600 --> 00:50:46,600
Speaker 1: Virginia Institute of Marine Sciences, and the Virginia saltwater Fishing

859
00:50:46,640 --> 00:50:50,799
Speaker 1: tournament started kicking around the idea of developing a program

860
00:50:51,040 --> 00:50:54,200
Speaker 1: that would involve sport anglers and tagging and monitoring red

861
00:50:54,280 --> 00:51:00,359
Speaker 1: fish populations. Fast forward along ways in the Virginia Game

862
00:51:00,480 --> 00:51:05,040
Speaker 1: Fish Tagging Program officially began with the scope of mission

863
00:51:05,160 --> 00:51:07,480
Speaker 1: that was ended up being far beyond just keeping an

864
00:51:07,520 --> 00:51:10,720
Speaker 1: eye on local red fish. The program trains and equips

865
00:51:10,800 --> 00:51:14,560
Speaker 1: a group of about a hundred experienced anglers as volunteer

866
00:51:14,640 --> 00:51:18,759
Speaker 1: fish taggers. The anglers tag all the target species that

867
00:51:18,800 --> 00:51:22,759
Speaker 1: they catch and releasing Virginia waters and maintain meticulous records

868
00:51:23,440 --> 00:51:25,200
Speaker 1: of the fish, like the size of the fish and

869
00:51:25,239 --> 00:51:29,360
Speaker 1: the tag numbers. This group of dedicated anglers submitted nearly

870
00:51:29,480 --> 00:51:35,480
Speaker 1: three hundred and fifty thousand tag records. The program also

871
00:51:36,000 --> 00:51:40,560
Speaker 1: supports significant community outreach to build awareness among all the

872
00:51:40,600 --> 00:51:44,840
Speaker 1: states marine fishers and encourage them to report any tag

873
00:51:44,880 --> 00:51:49,200
Speaker 1: fish that they catch, so anyone who catches and calls

874
00:51:49,239 --> 00:51:51,680
Speaker 1: in a tag fish can get like a little reward

875
00:51:51,800 --> 00:51:56,080
Speaker 1: in the form of free hats and T shirts. Twenty nineteen,

876
00:51:56,520 --> 00:52:01,040
Speaker 1: the program received over thirty five thousand recapture reports, proving

877
00:52:01,200 --> 00:52:04,799
Speaker 1: once again that that we fishermen have an illogical love

878
00:52:04,880 --> 00:52:08,680
Speaker 1: of free hat shirts and other cheap crap, and that

879
00:52:08,840 --> 00:52:11,080
Speaker 1: we really like feeling like we're part of a community.

880
00:52:12,000 --> 00:52:14,719
Speaker 1: The program gathers a huge amount of data every year

881
00:52:14,719 --> 00:52:20,520
Speaker 1: about local fisheries that costs researchers very little, like comparatively

882
00:52:20,520 --> 00:52:23,160
Speaker 1: compared to what they have to spend to gather that

883
00:52:23,320 --> 00:52:27,239
Speaker 1: volume of information. I think they're spending nothing. Revenue from

884
00:52:27,280 --> 00:52:30,000
Speaker 1: fishing license sales and I'm matching grant from the Virginia

885
00:52:30,040 --> 00:52:32,440
Speaker 1: Marine Institute of Marine Sciences pay for all the tags,

886
00:52:32,840 --> 00:52:36,360
Speaker 1: education and outreach materials, data management, and of course this

887
00:52:36,760 --> 00:52:41,440
Speaker 1: suite of free giveaway crap. The program also produces annual

888
00:52:41,480 --> 00:52:45,520
Speaker 1: reports based on the information that that they collect and

889
00:52:45,520 --> 00:52:48,279
Speaker 1: and those are available to the general public, so so

890
00:52:48,360 --> 00:52:52,120
Speaker 1: anglers can see they can actually see how their personal

891
00:52:52,160 --> 00:52:56,200
Speaker 1: efforts contribute to keeping track of their local fish populations.

892
00:52:56,200 --> 00:52:57,560
Speaker 1: And I read a bunch of these reports and I

893
00:52:57,560 --> 00:53:00,880
Speaker 1: found them just fascinating. It's if you geek out on

894
00:53:00,920 --> 00:53:02,399
Speaker 1: this stuff like I do, you should check them out.

895
00:53:03,200 --> 00:53:06,200
Speaker 1: I think it's pretty clear, like I've I've definitely made

896
00:53:06,239 --> 00:53:08,719
Speaker 1: this clear. I love everything about this program, and I

897
00:53:08,760 --> 00:53:11,960
Speaker 1: wish this model were adapted and adopted all over the country.

898
00:53:12,239 --> 00:53:14,600
Speaker 1: But one of the unique and I think very smart

899
00:53:14,680 --> 00:53:17,960
Speaker 1: aspects of this program is the fitch on which they focus.

900
00:53:18,280 --> 00:53:21,560
Speaker 1: Since two thousand, the program has collected data on redfish,

901
00:53:21,680 --> 00:53:26,520
Speaker 1: black drum, speckled trout, flounder, kobea, black sea bass, sheepshead, spadefish,

902
00:53:26,840 --> 00:53:30,759
Speaker 1: taw tog, and gray trigger fish. And that's it. You'll

903
00:53:30,800 --> 00:53:36,160
Speaker 1: notice that the marquee inshore saltwater species of Virginia straight

904
00:53:36,239 --> 00:53:42,880
Speaker 1: bass not there. Straight bass populations are already heavily monitored

905
00:53:42,880 --> 00:53:45,520
Speaker 1: by a variety of local and federal agencies. And and

906
00:53:45,560 --> 00:53:49,560
Speaker 1: the same could be said for like bluefin tuna. Right.

907
00:53:49,560 --> 00:53:53,200
Speaker 1: So this program, it's so smart. They intentionally focus on

908
00:53:53,239 --> 00:53:56,640
Speaker 1: fish that are available to people fishing both from shore

909
00:53:56,719 --> 00:54:00,440
Speaker 1: and boats, and that don't get primary intention from from

910
00:54:00,440 --> 00:54:04,240
Speaker 1: fisheries researchers already, which allows it to do a great

911
00:54:04,280 --> 00:54:07,759
Speaker 1: job filling an information gap and using anglers to do it.

912
00:54:08,080 --> 00:54:09,640
Speaker 1: I could think of so many things this should be

913
00:54:09,640 --> 00:54:13,240
Speaker 1: adopted for local We've just talked about this. Yes, everybody's

914
00:54:13,239 --> 00:54:15,480
Speaker 1: all over the stripers. Where's the weak fish, where's the

915
00:54:15,480 --> 00:54:19,200
Speaker 1: blue fish? There's not enough time or money for the

916
00:54:19,280 --> 00:54:23,239
Speaker 1: agencies to be on that the same way they are

917
00:54:23,320 --> 00:54:26,720
Speaker 1: with the stripers. So a program like this could help

918
00:54:26,760 --> 00:54:31,120
Speaker 1: exactly exactly. So there's the whole overview of the program,

919
00:54:31,120 --> 00:54:33,759
Speaker 1: which clearly I think is fantastic and I knew you

920
00:54:33,760 --> 00:54:37,600
Speaker 1: would love it. Perhaps even more fantastic is the guy

921
00:54:37,640 --> 00:54:40,640
Speaker 1: who catches tags and releases more fish than anyone else.

922
00:54:41,280 --> 00:54:46,800
Speaker 1: Ed Shepherd of Yorktown, Virginia. Yeah, this dude, This dude,

923
00:54:47,480 --> 00:54:51,479
Speaker 1: my hero. He's fitted between two and ten thousand fish

924
00:54:51,560 --> 00:54:54,920
Speaker 1: with tags every single year since two thousand seven. His

925
00:54:55,040 --> 00:55:01,040
Speaker 1: lifetime total now sits above eighty three thousand fish. You

926
00:55:01,200 --> 00:55:04,560
Speaker 1: cannot have a program like this without an edge Shepherd,

927
00:55:04,640 --> 00:55:08,160
Speaker 1: Like he has to exist like everybody in the office

928
00:55:08,160 --> 00:55:11,760
Speaker 1: collecting this data. Like you can like almost like picture

929
00:55:11,840 --> 00:55:14,359
Speaker 1: meeting Ed on the beach or in the bay, and

930
00:55:14,400 --> 00:55:16,879
Speaker 1: it's like, yeah, that dude over there, he's out here

931
00:55:16,960 --> 00:55:21,719
Speaker 1: tagging short flounder every single day like every he has

932
00:55:21,840 --> 00:55:24,800
Speaker 1: for whatever is happening in his life, whether he's retired

933
00:55:24,880 --> 00:55:27,040
Speaker 1: or whatever it may be, Like he's just made he

934
00:55:27,120 --> 00:55:30,359
Speaker 1: has just made this his life's work. And so even

935
00:55:30,440 --> 00:55:35,360
Speaker 1: more impressive, he catches all every single one of his

936
00:55:35,440 --> 00:55:40,560
Speaker 1: fish from public fishing piers, every one for him. He's

937
00:55:40,600 --> 00:55:44,520
Speaker 1: not He's not only targeting the most pressured fish, he's

938
00:55:44,640 --> 00:55:48,080
Speaker 1: also catching fish with the highest percentage of recapture right

939
00:55:48,120 --> 00:55:50,759
Speaker 1: because he's fishing in the places where the most people fish,

940
00:55:50,960 --> 00:55:53,760
Speaker 1: so there's a good chance that the fish he tags

941
00:55:54,160 --> 00:55:57,359
Speaker 1: gets caught again. So not only is he putting out

942
00:55:57,360 --> 00:55:59,680
Speaker 1: the most data, he's putting out the most valuable data.

943
00:56:00,320 --> 00:56:04,200
Speaker 1: True hero, real American hero right here is people suggest

944
00:56:04,239 --> 00:56:06,000
Speaker 1: they're like, how do you catch more fish? I'm like,

945
00:56:06,160 --> 00:56:08,440
Speaker 1: have the kind of time that Ed has to just

946
00:56:08,560 --> 00:56:12,439
Speaker 1: be out there that often. And that's that's the thing.

947
00:56:12,520 --> 00:56:16,360
Speaker 1: Like they give out awards every year to the top

948
00:56:16,400 --> 00:56:18,680
Speaker 1: five fish taggers, and and they have, you know, the

949
00:56:18,719 --> 00:56:21,520
Speaker 1: photos of everybody holding their troovies, and Ed's always there

950
00:56:21,520 --> 00:56:24,719
Speaker 1: like DS and everyone and and the only consistency I

951
00:56:24,760 --> 00:56:26,440
Speaker 1: can see is pretty much everybody in any of those

952
00:56:26,440 --> 00:56:30,319
Speaker 1: photos is a retired dude. And I have a new

953
00:56:30,360 --> 00:56:34,160
Speaker 1: life goal, Like, straight up, when I retire, I want

954
00:56:34,160 --> 00:56:36,160
Speaker 1: to be Ed of wherever I'm living. I want to

955
00:56:36,200 --> 00:56:38,120
Speaker 1: be like the guy who just goes fishing all the

956
00:56:38,120 --> 00:56:40,480
Speaker 1: time in the name of science. That's what I want

957
00:56:40,480 --> 00:56:43,479
Speaker 1: to do. That's who I want to be. Well, you know, dude,

958
00:56:43,480 --> 00:56:46,640
Speaker 1: we've we've ragged and I've heard about it. We've ragged

959
00:56:46,719 --> 00:56:49,600
Speaker 1: on like the citation angling stuff, like you know how

960
00:56:49,680 --> 00:56:53,719
Speaker 1: you catch this fish fish state dude, Like this is

961
00:56:53,800 --> 00:56:56,640
Speaker 1: way more noble, Like I don't want to care about

962
00:56:56,640 --> 00:57:02,160
Speaker 1: your citation pickroll. Like if you've tagged hundred whatever for

963
00:57:02,239 --> 00:57:07,319
Speaker 1: this year, that is helping your state manager species. That's

964
00:57:07,360 --> 00:57:11,439
Speaker 1: way cooler than your damn state citation award. I don't

965
00:57:11,440 --> 00:57:15,600
Speaker 1: care about the sitation. I care about your tag records. Yeah, citations,

966
00:57:15,680 --> 00:57:18,600
Speaker 1: tancara cross what else? Don't what else? Don't I like

967
00:57:18,960 --> 00:57:22,959
Speaker 1: every Wally We don't like Wally eyes anyway. Last point,

968
00:57:23,080 --> 00:57:26,520
Speaker 1: last point. Anybody who's out there listening that lives in

969
00:57:26,600 --> 00:57:28,480
Speaker 1: Virginia you want to get involve. The program recruits and

970
00:57:28,480 --> 00:57:31,600
Speaker 1: trains new volunteers every December about fish handling and proper

971
00:57:31,760 --> 00:57:33,680
Speaker 1: tag insertions, so you can you can get on this.

972
00:57:34,200 --> 00:57:36,880
Speaker 1: And if you fish around Virginia Point and you catch

973
00:57:36,960 --> 00:57:40,840
Speaker 1: any tagged fish, just please report it because that's what

974
00:57:40,960 --> 00:57:42,520
Speaker 1: makes all this work. You can you can find all

975
00:57:42,560 --> 00:57:44,520
Speaker 1: the information you want about any of the stuff, including

976
00:57:44,520 --> 00:57:48,040
Speaker 1: the reports, just online. Just go to m r C

977
00:57:48,920 --> 00:57:51,840
Speaker 1: dot Virginia dot gov and they'll get you lined out

978
00:57:51,880 --> 00:57:54,200
Speaker 1: with everything you need. There you go. Well, Phil has

979
00:57:54,200 --> 00:57:58,000
Speaker 1: plenty of data to sift through this week to declare

980
00:57:58,040 --> 00:57:59,720
Speaker 1: a winner. And as soon as we're done hearing from Phil,

981
00:58:00,040 --> 00:58:04,000
Speaker 1: we're gonna we're gonna keep up with the local regional

982
00:58:04,080 --> 00:58:08,200
Speaker 1: slang thing that we we've already got going in this episode,

983
00:58:08,200 --> 00:58:10,480
Speaker 1: we're gonna move into the weekly Word and hopefully when

984
00:58:10,480 --> 00:58:13,640
Speaker 1: you're in Virginia you will catch a fish that does this,

985
00:58:13,840 --> 00:58:20,160
Speaker 1: that does the weekly Word to your rod. Because I

986
00:58:20,200 --> 00:58:22,080
Speaker 1: am the kind of sucker who would fall for the

987
00:58:22,120 --> 00:58:25,560
Speaker 1: model zero. I have fallen for Joe Sairmelli this week. Joe,

988
00:58:25,760 --> 00:58:30,360
Speaker 1: you're the winner. Wow. This week we had Brian Adams,

989
00:58:30,520 --> 00:58:33,320
Speaker 1: we had Danzig. I just want to keep this train rolling.

990
00:58:33,560 --> 00:58:37,720
Speaker 1: Maybe next week we'll get George Clooney the Competition bass Angler,

991
00:58:37,880 --> 00:58:42,040
Speaker 1: or Madonna the Fishing Guide from Louisiana. I feel for you, guys,

992
00:58:42,080 --> 00:58:43,800
Speaker 1: but it could be much worse. I know of a

993
00:58:43,840 --> 00:58:46,800
Speaker 1: journalist named Jeffrey Epstein who I think is on the

994
00:58:46,880 --> 00:58:50,320
Speaker 1: verge of either legally changing his name or just walking

995
00:58:50,320 --> 00:58:59,600
Speaker 1: into the ocean. Webster's Dictionary defines fish as sticking with

996
00:58:59,640 --> 00:59:01,520
Speaker 1: the theme. In this week, when I was fishing with

997
00:59:01,600 --> 00:59:05,080
Speaker 1: Joe recently, I tied into some stout American chad that

998
00:59:05,160 --> 00:59:09,960
Speaker 1: had my trustee thirteen fishing fates steelhead rod folded completely

999
00:59:10,000 --> 00:59:12,880
Speaker 1: over in heavy current. I looked at Joe and said

1000
00:59:12,920 --> 00:59:15,920
Speaker 1: something to the effect of, hell, yeah, we're getting corked.

1001
00:59:17,280 --> 00:59:20,880
Speaker 1: Instead of embracing the celebratory sentiment of what he knew

1002
00:59:20,960 --> 00:59:24,680
Speaker 1: I was trying to communicate, Joe instead decided that moment,

1003
00:59:25,320 --> 00:59:26,800
Speaker 1: right in the middle of me trying to land a

1004
00:59:26,800 --> 00:59:29,680
Speaker 1: hefty row shad, was a good time to start a

1005
00:59:29,720 --> 00:59:35,240
Speaker 1: semantic debate. Corked, He asked, who says corked? Nobody says

1006
00:59:35,320 --> 00:59:38,800
Speaker 1: that I was too busy landing a fish to properly

1007
00:59:38,880 --> 00:59:41,480
Speaker 1: argue with him. But I have since wondered where the

1008
00:59:41,480 --> 00:59:44,640
Speaker 1: phrase came from. Did I make it up? Is it

1009
00:59:44,960 --> 00:59:47,600
Speaker 1: just unique to my group of fishing buddies. I don't

1010
00:59:47,640 --> 00:59:50,680
Speaker 1: have a definitive answer, certainly not the answer I was

1011
00:59:50,720 --> 00:59:53,440
Speaker 1: hoping for, which would be solid proof that corked is

1012
00:59:53,480 --> 00:59:57,160
Speaker 1: a legitimate and widely used fishing term and Joe just

1013
00:59:57,280 --> 00:59:59,320
Speaker 1: doesn't know what he's talking about. But I do have

1014
00:59:59,400 --> 01:00:02,800
Speaker 1: a theory about where the term came from and how

1015
01:00:02,840 --> 01:00:06,240
Speaker 1: it made its way into my personal lexicon. First off,

1016
01:00:06,480 --> 01:00:09,800
Speaker 1: where I live. Corked is a slang expression for getting

1017
01:00:09,800 --> 01:00:12,920
Speaker 1: one's rod completely folded over by a big fish. It

1018
01:00:13,000 --> 01:00:16,880
Speaker 1: may not be ubiquitous and certainly isn't common among people

1019
01:00:17,000 --> 01:00:21,160
Speaker 1: over forty, but it is well used. I cannot, however,

1020
01:00:21,560 --> 01:00:25,720
Speaker 1: find any evidence of its adoption in the broader angling community,

1021
01:00:25,960 --> 01:00:29,680
Speaker 1: at least not in that context. Best I can tell,

1022
01:00:30,160 --> 01:00:33,520
Speaker 1: corked is shorthand for bent to the cork, which is

1023
01:00:34,040 --> 01:00:37,000
Speaker 1: a widely accepted phrase in fishing to describe when a

1024
01:00:37,040 --> 01:00:40,439
Speaker 1: fishing rod flexes all the way to the handle, which

1025
01:00:40,480 --> 01:00:43,680
Speaker 1: is traditionally made of cork. This phrase is common enough

1026
01:00:43,720 --> 01:00:48,120
Speaker 1: that the now defunct magazine American Angler named their newsletter

1027
01:00:48,560 --> 01:00:51,120
Speaker 1: bent to the cork. So at least I can validate

1028
01:00:51,200 --> 01:00:55,040
Speaker 1: the longer form version of court. But the story doesn't

1029
01:00:55,120 --> 01:00:59,280
Speaker 1: end there, because corked is a well documented slang term

1030
01:00:59,320 --> 01:01:02,280
Speaker 1: in the fishing community out west with a completely different meaning.

1031
01:01:02,960 --> 01:01:07,000
Speaker 1: Have you ever been corked off? I have, and I've

1032
01:01:07,040 --> 01:01:10,680
Speaker 1: had words with other anglers and guides over it. Corked

1033
01:01:10,720 --> 01:01:15,440
Speaker 1: off or corked describes when another angler or boat breaches

1034
01:01:15,520 --> 01:01:18,680
Speaker 1: fishing etiquette by cutting you off. Say you're working your

1035
01:01:18,680 --> 01:01:21,800
Speaker 1: way down a shoreline or a run and another angler

1036
01:01:21,880 --> 01:01:24,760
Speaker 1: boat jumps in ahead of you, Well, you just got

1037
01:01:24,760 --> 01:01:29,120
Speaker 1: corked off, also known as low holding. In this context.

1038
01:01:29,440 --> 01:01:33,200
Speaker 1: The term court comes from the commercial salmon fishing scene

1039
01:01:33,240 --> 01:01:36,040
Speaker 1: in Alaska. We've all seen how competitive and cut their

1040
01:01:36,200 --> 01:01:39,200
Speaker 1: recreational fishing can get. Will picture what that could be

1041
01:01:39,320 --> 01:01:42,080
Speaker 1: like when tens of thousands of dollars are on the line.

1042
01:01:43,000 --> 01:01:47,120
Speaker 1: Just like in weekend fishing, commercial fishing has accepted etiquette,

1043
01:01:47,280 --> 01:01:49,600
Speaker 1: and setting your nets right in front of someone else

1044
01:01:49,640 --> 01:01:52,560
Speaker 1: has already established nets to intercept the fish before them

1045
01:01:53,320 --> 01:01:56,760
Speaker 1: is considered a major breach of code. Traditionally, floats on

1046
01:01:56,800 --> 01:01:59,880
Speaker 1: gillnets were made of cork, and dropping your nets ahead

1047
01:01:59,880 --> 01:02:02,800
Speaker 1: of someone else's came to be known as corking them

1048
01:02:02,800 --> 01:02:06,480
Speaker 1: off or corking them, as is often the case. Commercial

1049
01:02:06,520 --> 01:02:09,600
Speaker 1: fishing vernacular trickled down to the recreational scene, and getting

1050
01:02:09,640 --> 01:02:12,160
Speaker 1: corked off came to describe a similar behavior in any

1051
01:02:12,200 --> 01:02:16,720
Speaker 1: fishing situation. My theory is this, somewhere along the line,

1052
01:02:16,880 --> 01:02:20,760
Speaker 1: bent to the cork and corked off became intertwined in

1053
01:02:20,840 --> 01:02:24,320
Speaker 1: some fish addled brain, or maybe just got mixed up

1054
01:02:24,360 --> 01:02:28,240
Speaker 1: by some google. Either way, since we all love shorthand,

1055
01:02:28,720 --> 01:02:30,760
Speaker 1: and bent to the cork is kind of a mouthful,

1056
01:02:30,880 --> 01:02:32,960
Speaker 1: especially when you're in the heat of big fish battle.

1057
01:02:33,280 --> 01:02:37,640
Speaker 1: Corked became a term with multiple definitions, one positive and

1058
01:02:37,760 --> 01:02:41,919
Speaker 1: one negative. I use it both ways, and frankly never

1059
01:02:41,960 --> 01:02:45,919
Speaker 1: even recognized the conflict until Joe started pitching me ship

1060
01:02:46,480 --> 01:02:52,160
Speaker 1: in the middle of the Delaware River. Okay, so I

1061
01:02:52,240 --> 01:02:55,640
Speaker 1: have heard the phrase bent to the cork before, right,

1062
01:02:56,080 --> 01:02:59,960
Speaker 1: but not cork. That seems like such a West Coast

1063
01:03:00,040 --> 01:03:01,680
Speaker 1: thing to me. Like it just sounds like it should

1064
01:03:01,680 --> 01:03:07,200
Speaker 1: be automatically followed by the word bro. No, that's fair,

1065
01:03:07,320 --> 01:03:09,880
Speaker 1: that's fair. I don't know. You've got me questioning it

1066
01:03:09,960 --> 01:03:12,400
Speaker 1: like i've when we when we talked about doing this

1067
01:03:12,440 --> 01:03:15,400
Speaker 1: for this segment, I was I hadn't thought about it much,

1068
01:03:15,560 --> 01:03:19,640
Speaker 1: and now you're making me self conscious about that particular

1069
01:03:20,360 --> 01:03:22,520
Speaker 1: particular exclamation. I might I might have to cut that

1070
01:03:22,560 --> 01:03:24,800
Speaker 1: from the repertoire. I don't know. We'll see, well, think

1071
01:03:24,800 --> 01:03:27,720
Speaker 1: about it, think about it at time. Anyway. Let's let's

1072
01:03:27,760 --> 01:03:30,000
Speaker 1: cap off this week's show with a little trivia for

1073
01:03:30,040 --> 01:03:32,240
Speaker 1: a change. We'll skip end of the line for trivia here.

1074
01:03:32,480 --> 01:03:35,040
Speaker 1: And I actually recorded this with my good friend Joe

1075
01:03:35,040 --> 01:03:38,320
Speaker 1: Demo Daris of Cross Current Guide Service way back during

1076
01:03:38,440 --> 01:03:42,000
Speaker 1: last summer's mousing season. But you guys have actually seen

1077
01:03:42,080 --> 01:03:45,880
Speaker 1: Joe more recently in uh in b side fishing. Yes, yes,

1078
01:03:46,120 --> 01:03:50,480
Speaker 1: Joe D. And you hit the radioactive Passaic River chasing

1079
01:03:50,480 --> 01:03:54,720
Speaker 1: after some some long toothye pike. Yes, in Joe D's

1080
01:03:55,440 --> 01:03:58,240
Speaker 1: clack a craft, which I gotta say, watching that on

1081
01:03:58,320 --> 01:04:02,000
Speaker 1: camera looked a hell of a lot room here then

1082
01:04:02,200 --> 01:04:04,200
Speaker 1: your boat, and I'm gonna I'm gonna out you here

1083
01:04:04,240 --> 01:04:09,080
Speaker 1: because Joe Cie here has like the mini Cooper of

1084
01:04:09,120 --> 01:04:12,880
Speaker 1: clackic crafts. I have I fished out of so many

1085
01:04:12,920 --> 01:04:15,760
Speaker 1: drift boats in my life, but I have never never

1086
01:04:15,840 --> 01:04:18,439
Speaker 1: been in one like yours until I came out to visit.

1087
01:04:18,480 --> 01:04:21,320
Speaker 1: I mean it, it's totally a clack It's it's a

1088
01:04:21,400 --> 01:04:26,280
Speaker 1: drift boat, yeah, only smaller. Yeah, yeah, I don't care.

1089
01:04:26,400 --> 01:04:28,320
Speaker 1: I told you what I paid for it, and even

1090
01:04:28,320 --> 01:04:29,800
Speaker 1: you were like, oh my god, I would have bought

1091
01:04:29,840 --> 01:04:32,280
Speaker 1: that twice. I would have. I would have. It's just

1092
01:04:32,440 --> 01:04:34,760
Speaker 1: it's it's weird. It's different. It feels very narrow, like

1093
01:04:34,800 --> 01:04:37,720
Speaker 1: there's no room to stand. It's it's it's weird. It's

1094
01:04:37,720 --> 01:04:41,760
Speaker 1: great for one person. It's really when I never fished

1095
01:04:41,760 --> 01:04:47,240
Speaker 1: by myself in my drift boat, I I do. But anyway,

1096
01:04:47,360 --> 01:04:49,520
Speaker 1: if if any of you out there have ever wondered

1097
01:04:49,560 --> 01:04:53,320
Speaker 1: where drift boats as a general term, like where the

1098
01:04:53,400 --> 01:04:56,440
Speaker 1: term drift boats came from? This trivia is for you.

1099
01:04:56,440 --> 01:04:59,280
Speaker 1: You gotta be highly skilled for these shows. You understand that,

1100
01:05:00,000 --> 01:05:02,240
Speaker 1: don't want the Are you well versed there? You're very

1101
01:05:02,280 --> 01:05:06,720
Speaker 1: smart man? All right? Playing trivia with us today, my

1102
01:05:06,800 --> 01:05:10,200
Speaker 1: good friend Joe Dimodaris of Cross Current Guide Service, Joe

1103
01:05:10,200 --> 01:05:12,680
Speaker 1: how Art thou I am good? I am? I am

1104
01:05:12,720 --> 01:05:14,720
Speaker 1: also good because I am at your place, the guide

1105
01:05:14,720 --> 01:05:16,880
Speaker 1: Shack on the Upper Delaware River doing a little on

1106
01:05:17,160 --> 01:05:22,040
Speaker 1: location session here while we're doing some mouse fishing. So um,

1107
01:05:22,160 --> 01:05:24,520
Speaker 1: we gotta get you down for trivia, man, um, Are

1108
01:05:24,560 --> 01:05:27,040
Speaker 1: you good at trivia? No? No, you don't go to

1109
01:05:27,040 --> 01:05:29,000
Speaker 1: the bar and new trivia and that's I used to

1110
01:05:29,040 --> 01:05:31,920
Speaker 1: do that, and like, actually it's funny you mentioned that,

1111
01:05:31,960 --> 01:05:35,600
Speaker 1: like you know, probably forty years ago playing trivia pursuit

1112
01:05:35,640 --> 01:05:37,360
Speaker 1: at the bar and every time you lost, Oh yeah,

1113
01:05:37,400 --> 01:05:39,400
Speaker 1: that's fun. That's all school. They just have the cards

1114
01:05:39,440 --> 01:05:41,480
Speaker 1: on the table and I've been if you lost, you

1115
01:05:41,480 --> 01:05:44,280
Speaker 1: had to drink a shot. And I mean there was

1116
01:05:44,320 --> 01:05:46,720
Speaker 1: a lot of times like I just like I lost,

1117
01:05:46,840 --> 01:05:50,439
Speaker 1: I couldn't play. After six questions, I was done. Well,

1118
01:05:50,480 --> 01:05:55,040
Speaker 1: there's absolutely nothing at stake here to lose or wins, so, um,

1119
01:05:55,160 --> 01:05:56,560
Speaker 1: you don't have to do any shots if you get

1120
01:05:56,560 --> 01:05:58,520
Speaker 1: these wrong. But I always try and tailor my trivia

1121
01:05:58,640 --> 01:06:02,120
Speaker 1: questions to the person playing. And I figured, you've got

1122
01:06:02,160 --> 01:06:05,840
Speaker 1: thirty years experience rowing drift boats and guiding. So here's

1123
01:06:05,880 --> 01:06:09,880
Speaker 1: question number one. Okay. While many believe the idea for

1124
01:06:09,960 --> 01:06:13,280
Speaker 1: driftboats first came from crude logging skiffs in the early

1125
01:06:13,360 --> 01:06:17,320
Speaker 1: nineteen hundreds, history traces origins of the drift boat with

1126
01:06:17,360 --> 01:06:19,040
Speaker 1: many of the same features that they have the day,

1127
01:06:19,080 --> 01:06:21,880
Speaker 1: back to the nine twenties. Which of the following rivers

1128
01:06:22,000 --> 01:06:26,040
Speaker 1: is considered the birthplace of the modern drift boat? Would

1129
01:06:26,040 --> 01:06:30,080
Speaker 1: that be A the Rogue River, be the Mackenzie River,

1130
01:06:30,400 --> 01:06:35,240
Speaker 1: see the Colorado River, or d the di Shoots River. Wow,

1131
01:06:35,280 --> 01:06:39,040
Speaker 1: I thought it was like Captain Ahab chasing wales around.

1132
01:06:40,400 --> 01:06:46,640
Speaker 1: Those were dories, it was. The driftboat is an offshoot

1133
01:06:46,640 --> 01:06:48,080
Speaker 1: of the dory. But what I'm saying is, at some

1134
01:06:48,120 --> 01:06:55,440
Speaker 1: point in history it was Okay, that is right. Modern

1135
01:06:55,520 --> 01:06:57,760
Speaker 1: drift boats were born in the Pacific Northwest, and it

1136
01:06:57,840 --> 01:07:02,840
Speaker 1: was the Mackenzie River where these specialized whitewater capable crafts originated,

1137
01:07:02,880 --> 01:07:05,200
Speaker 1: and they were known as Mackenzie boats. And fun fact,

1138
01:07:05,320 --> 01:07:08,240
Speaker 1: designer Woody Hindman, because I did my research, was the

1139
01:07:08,240 --> 01:07:10,280
Speaker 1: guy who figured out that these boats would be much

1140
01:07:10,280 --> 01:07:13,840
Speaker 1: more efficient if they were pointed at each end. Sweet yeah,

1141
01:07:13,840 --> 01:07:16,640
Speaker 1: and would he probably, you know, had like two bucks

1142
01:07:16,640 --> 01:07:18,880
Speaker 1: worth of material and trees he felled himself. And all

1143
01:07:18,920 --> 01:07:21,480
Speaker 1: these years later, you know, we'll pay twenty grand for

1144
01:07:21,560 --> 01:07:24,360
Speaker 1: one and then upgrade it with the LED lights and

1145
01:07:24,440 --> 01:07:28,240
Speaker 1: the built in US be charger world's most expensive rowboat exactly.

1146
01:07:28,640 --> 01:07:30,280
Speaker 1: But I do have one more for you. This one's

1147
01:07:30,280 --> 01:07:32,560
Speaker 1: a little bit more fun, uh, since we are up

1148
01:07:32,560 --> 01:07:35,040
Speaker 1: here mousing doing a little night mouse fishing. That's the

1149
01:07:35,080 --> 01:07:38,160
Speaker 1: thing you and I enjoy doing together. Tell me which

1150
01:07:38,240 --> 01:07:42,640
Speaker 1: one of the following is not an actual mouse fly

1151
01:07:43,640 --> 01:07:46,280
Speaker 1: that is out there in the world tied on YouTube?

1152
01:07:46,320 --> 01:07:48,120
Speaker 1: I found all these, So which one of these is

1153
01:07:48,160 --> 01:07:52,800
Speaker 1: not an actual mouse pattern? Is it a the weaponized mouse?

1154
01:07:53,520 --> 01:07:57,880
Speaker 1: Be the cousin it mouse see Ichabod's art a mouse

1155
01:07:58,280 --> 01:08:01,960
Speaker 1: or d the oh, mickey, your so fine. One of

1156
01:08:01,960 --> 01:08:05,080
Speaker 1: those is not an actual mouse pattern? All right, Now,

1157
01:08:05,120 --> 01:08:07,320
Speaker 1: this is really hard for me that you know, it's

1158
01:08:07,400 --> 01:08:10,840
Speaker 1: very difficult because I'm terrible at knowing names of patterns.

1159
01:08:11,000 --> 01:08:12,920
Speaker 1: I really am. My sneak at like guys talking. I

1160
01:08:12,960 --> 01:08:14,520
Speaker 1: knew this was going to be a harder question than

1161
01:08:14,520 --> 01:08:17,640
Speaker 1: the Mackenzie drift bos people people talk about, like, you know,

1162
01:08:17,960 --> 01:08:20,880
Speaker 1: the itchy ball fly, and I don't have a clue,

1163
01:08:21,000 --> 01:08:22,559
Speaker 1: you know, I just know like that looks yeah, officially

1164
01:08:22,600 --> 01:08:25,400
Speaker 1: eat that thing. I'll use it. Right, Because you're a

1165
01:08:25,400 --> 01:08:27,880
Speaker 1: guide in practical when it comes to applying flies to

1166
01:08:29,240 --> 01:08:31,040
Speaker 1: I don't need to know the name of it, you know,

1167
01:08:31,160 --> 01:08:33,680
Speaker 1: I don't you know whatever? You know, even if dry fly, right,

1168
01:08:33,680 --> 01:08:35,200
Speaker 1: if it's if it's some kind of like you know,

1169
01:08:35,200 --> 01:08:37,479
Speaker 1: tweedledum olive, I don't need to know it's the name.

1170
01:08:38,000 --> 01:08:40,160
Speaker 1: It's there's a little green flight. That's what they're eating. Right,

1171
01:08:40,160 --> 01:08:44,280
Speaker 1: So we're good. But based on the names you listed, yeah,

1172
01:08:44,320 --> 01:08:46,160
Speaker 1: I'm gonna take a wild shot. You have to go

1173
01:08:46,240 --> 01:08:49,080
Speaker 1: with d Oh, mickey, you're so fine? Is not a

1174
01:08:49,080 --> 01:08:53,679
Speaker 1: mouse pattern? Yeah? That's correct. WHOA, that's correct? Because people

1175
01:08:53,720 --> 01:08:55,519
Speaker 1: are so ate up with this mouse ship that it

1176
01:08:55,640 --> 01:08:58,839
Speaker 1: really I feel like it could have been. I'm surprised

1177
01:08:58,840 --> 01:09:00,920
Speaker 1: that it will be now, soby will tie that by

1178
01:09:00,960 --> 01:09:04,360
Speaker 1: next week after hearing this totally well, thanks for playing

1179
01:09:04,360 --> 01:09:06,400
Speaker 1: trivia and good on you. That was two for two.

1180
01:09:11,920 --> 01:09:14,240
Speaker 1: So that's it for this week. Remember if you're headed

1181
01:09:14,280 --> 01:09:16,839
Speaker 1: to Jerry's and you should be to pick up a canoe.

1182
01:09:17,160 --> 01:09:19,840
Speaker 1: He is sixty and probably won't know how to take

1183
01:09:19,880 --> 01:09:23,360
Speaker 1: a selfie with a mouse fly called the Hey Mickey,

1184
01:09:23,360 --> 01:09:26,960
Speaker 1: You're so fine has not been patented, but would likely

1185
01:09:27,240 --> 01:09:30,720
Speaker 1: slay gold and blue trout in West Virginia and Bent

1186
01:09:30,760 --> 01:09:33,360
Speaker 1: to the cork and corked are not actually the same thing.

1187
01:09:33,720 --> 01:09:38,479
Speaker 1: Despite what us out West Brobras trying to say, keep

1188
01:09:38,560 --> 01:09:41,920
Speaker 1: those Salman items, bar nominations, awkward photos, news stories, and

1189
01:09:42,000 --> 01:09:45,719
Speaker 1: everything else coming. Please to Bent at the mediator dot com.

1190
01:09:45,760 --> 01:09:48,760
Speaker 1: We always love hearing from you guys. Also, we love

1191
01:09:48,960 --> 01:09:53,280
Speaker 1: seeing those degenerate Angler and Bent podcast hashtags on the Graham.

1192
01:09:53,320 --> 01:09:56,040
Speaker 1: Those are, in fact the fastest way to earn a

1193
01:09:56,120 --> 01:10:01,639
Speaker 1: sticker pack from us. Those packs may eventually include stickers

1194
01:10:01,680 --> 01:10:05,439
Speaker 1: that say shut up and fished douse light. If we're

1195
01:10:05,439 --> 01:10:07,920
Speaker 1: gonna stick with the Jerry making stickers. I don't know

1196
01:10:07,960 --> 01:10:10,400
Speaker 1: we're gonna we probably have to license that from Jerry

1197
01:10:10,439 --> 01:10:13,479
Speaker 1: anyway until next week. Don't forget. No matter how you

1198
01:10:13,520 --> 01:10:15,599
Speaker 1: stroke it, at least you're stroking it in the open air,

1199
01:10:15,640 --> 01:10:18,080
Speaker 1: surrounded by nature, instead of in your parents basement on

1200
01:10:18,200 --> 01:10:20,280
Speaker 1: the couch that used to belong to your mo mom

1201
01:10:20,280 --> 01:10:20,879
Speaker 1: and peepop