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Speaker 1: We spent weeks making our own or Gasmo and showed

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Speaker 1: the boy outfits. It was like one of those situations

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Speaker 1: where I was like, you know, common sense to tell you, like,

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Speaker 1: you don't put water on the inside of what you're

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Speaker 1: trying to keep out, you know what I mean. And

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Speaker 1: then as they say you have to al mauny bang

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Speaker 1: the left at the canal and you go all the

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Speaker 1: way to Buffalo. It's orange, black, furry and wiggly, kind

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Speaker 1: of like a demonic mega. Good morning, degenerate Anglers, and

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Speaker 1: welcome to Bent, the podcast that hands out full size

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Speaker 1: muskie plugs on Halloween, not tin split shot like your

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Speaker 1: cheap bass neighbor. I'm Joe Surmelli, Miles Nulty, and one

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Speaker 1: of us is really excited about it being Halloween tomorrow.

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Speaker 1: Damn right, I am. I did Halloween, And to be

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Speaker 1: really honest, man, like, beyond it being so fun because

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Speaker 1: I now have kids that are the perfect age to

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Speaker 1: get really jacked up on Halloween, I'm not even really

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Speaker 1: sure why I love it so much, but I guess

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Speaker 1: it's it's somehow I was thinking about, like like the

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Speaker 1: punk metal holiday for some reason, and I don't know,

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Speaker 1: and I'm also kind of in horror flicks. But um,

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Speaker 1: as I think we're gonna learn today, Halloween does nothing

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Speaker 1: for you. If I'm not mistaken, No, I'm I'm not

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Speaker 1: a huge fan. You know. The final nail in my

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Speaker 1: hatred for Halloween coffin came mid twenties, late twenties something

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Speaker 1: like that. After after losing a costume contest, right, so,

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Speaker 1: a buddy of mine and I we spent weeks. We

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Speaker 1: had this great idea and we spent weeks making our

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Speaker 1: own or Gasmo and showed the boy outfits like, yeah,

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Speaker 1: I was Orgasmo, he was Chow the boy. And for

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Speaker 1: those of you who don't know what I'm referring to,

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Speaker 1: you need to go watch the movie or Gasmo right now.

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Speaker 1: Just do it anyway, not with not with the child, no,

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Speaker 1: no children at all. Definitely adults only. Uh. But like,

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Speaker 1: those costumes were on point, and we worked our butts

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Speaker 1: off and then we go to like the big costume

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Speaker 1: contest at one of the bars out here, and we

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Speaker 1: took second place to a group of ladies dressed as

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Speaker 1: scantily clad sheep. And that was it for me. I

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Speaker 1: was done. I'm done with this whole holiday, Like I

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Speaker 1: tried once and what didn't work. I like how you

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Speaker 1: said scantily clad sheep because I know even creative. Oh man,

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Speaker 1: you are bitter, so bitter. That's a shame. Ah Man,

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Speaker 1: you know it's not bitter Black Rifle Coffee and quick

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Speaker 1: reminder that Ben is fueled by Black Rifle coffee. In fact,

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Speaker 1: we've got so much of it that if you trick

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Speaker 1: or treat at my house, I might stick a few

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Speaker 1: of their instant coffee bags in your plastic punking or

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Speaker 1: give a shot of their extra dark murdered out to

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Speaker 1: your kids, just to make bedtime more difficult. Oh, I

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Speaker 1: feel sorry for anybody trick or treat at Joe's house.

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Speaker 1: Do yourself a favor and head over to Black Rifle

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Speaker 1: Coffee dot com slash meat Eater, get on their subscription service,

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Speaker 1: or or are just a few bags of their premium

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Speaker 1: roasts and enter the promo code meat Eater to get

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Speaker 1: off your order. Yeah, do all those things. It's like

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Speaker 1: candy for grown ups. Man, I gotta tell you, And

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Speaker 1: I also gotta tell you. Over the last few weeks,

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Speaker 1: we've gotten quite a few notes from you guys asking

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Speaker 1: if we plan to do a Halloween special and the

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Speaker 1: answer is yes, sort of. I'd say we've at least,

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Speaker 1: you know, rubbed enough candy corn behind our ears to

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Speaker 1: give this episode a Halloween essence at least is how

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Speaker 1: I'd put it. And for the record, I was skeptical,

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Speaker 1: right I was. I was, But then Joe got ahold

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Speaker 1: of some historical gems that completely changed my mind. We

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Speaker 1: cannot actually tell you how we came to be in

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Speaker 1: possession of these clips, but it turns out that in

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Speaker 1: the eighties and nineties, Bill Dance actually tried moonlighting as

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Speaker 1: a horror film actor, and he got surprisingly far. Unfortunately,

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Speaker 1: all of Bill's test reads ended up on the cut

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Speaker 1: of Room Lord. But as you may have already guessed,

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Speaker 1: we got exclusive permission to air them right here for you.

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Speaker 1: Yes we do, and we're gonna be peppering those throughout

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Speaker 1: the show. Okay, and remember you heard it here first.

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Speaker 1: And if you're shaking your head in complete disbelief right now,

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Speaker 1: believe it. Believe it's real. Believe it. And here's Bill

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Speaker 1: reading for the two classic Poltergeist. How are you this morning?

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Speaker 1: M doing? Okay? What do you girl? More purple and brown?

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Speaker 1: Kind of a purple loot? Keep that bite in one spot.

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Speaker 1: What do you look for in a good bite cash

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Speaker 1: and rod when you're on a fixed income. So let's

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Speaker 1: seems like Bill is a little limited in his in

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Speaker 1: his range. Um. Anyway, that's one of many exclusive bill

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Speaker 1: It's horror flick reads to come. But let's move on

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Speaker 1: to a very very special regional report. Yeah it is.

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Speaker 1: We actually have a celebrity on the show today, for real,

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Speaker 1: this time, not like the other celebrities we have on

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Speaker 1: this show. Right after we first launched Bent, we got

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Speaker 1: a note from Mike Williams, who started in the little

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Speaker 1: cult classic movie you might remember, The Blair Witch Project. Yeah,

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Speaker 1: and this is this is a true story. We're not

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Speaker 1: bullshit and we're not making this up for Mike. Yeah

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Speaker 1: for once, maybe never again, but believe us. Now, Okay,

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Speaker 1: Mike is is the guy standing in the corner of

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Speaker 1: the basement at the end of the movie. That is

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Speaker 1: what that That scene still creeps me out. That was

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Speaker 1: that was well done. Anyway. Turns up, Mike lives in

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Speaker 1: New York State and he's a hardcore fly angler. He

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Speaker 1: sent an email to Bent at the meat Eator dot

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Speaker 1: com just to say he was digging our show and

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Speaker 1: offering to help out. We noodled on that for weeks

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Speaker 1: and came up with nothing. We're like, how are we

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Speaker 1: gonna work this into the show. And we were talking

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Speaker 1: about it with our buddy and colleague Sam Londren, who

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Speaker 1: threw out this great idea, and we're like, yes, that's it,

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Speaker 1: We're doing that. So so what we did was we

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Speaker 1: asked Mike to list and explain his five favorite trout

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Speaker 1: flies for his local streams. Easy, right, very easy. But

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Speaker 1: because we're complete dicks, we said, you have to record

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Speaker 1: this information while running through the woods in the pitch

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Speaker 1: dark allah blair Witch and I was like, there's no way,

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Speaker 1: Mike st I told you guys. It was like, there's

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Speaker 1: no way Mike's going. But he was in. He was

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Speaker 1: all about it. So here's Mike Williams from the blair

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Speaker 1: Witch Project giving you his five top trout flies while

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Speaker 1: legitimately running through the woods at night. Take eyes all right?

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Speaker 1: So for the Croton Riverous System, Hounded Golden top five flies,

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Speaker 1: Croton's up for your Putton Valley buppa Westchester. So I

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Speaker 1: wanted to start with a Cadis said, Cadis, you can't

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Speaker 1: go wrong with it. Any time year Brown, Cadis Page

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Speaker 1: cats green, Catos Bray. I don't care, but you gotta

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Speaker 1: carry catos not Also, oh god, David's right anyway, a

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Speaker 1: sulfur gotta have a sulfur, A merchant for summer, Cassie

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Speaker 1: June's why, definitely a sulfur us on top of that.

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Speaker 1: I would do right, I would do a light Oh.

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Speaker 1: I like Hey Hill, Ok, I like Hey Hill during

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Speaker 1: the summer. To the fish here, I love that. And

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Speaker 1: of course hairs here in the Pheasant Hill. You don't

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Speaker 1: carry that. You don't carry that, damn it. Well, then

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Speaker 1: you don't know what you're doing and you're gonna apply Fisherman.

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Speaker 1: I hope this helps tight lines. Gotta oh man, Mike,

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Speaker 1: We thank you for that. Man. You were such a

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Speaker 1: good sport. Thanks for reaching out. And you guys should

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Speaker 1: follow Mike on the instagrams. He's at sipping rises. Thank you, Mike,

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Speaker 1: And we're sorry, but but not really because that was funny.

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Speaker 1: Moving on, it's time to continue the theme of making

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Speaker 1: people uncomfortable, this time with our smooth move segment where

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Speaker 1: we let guides and Charter Captain's bitch about stupid things

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Speaker 1: their clients have done. Yeah, and we're gonna throw it

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Speaker 1: back to what I call the upper d session. A

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Speaker 1: few months ago and I spent a few days at

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Speaker 1: the Guide Shack and the Cat Skills with some good friends,

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Speaker 1: including our amigo Marty Ye, who has a story for

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Speaker 1: us today, so frightening. It's guaranteed to make you lose

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Speaker 1: control of all your bodily functions. But before we kick

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Speaker 1: it over to Marty, just to set the mood, here's

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Speaker 1: Bill Dance in the Exorcist twitch Twitch Twitch Twitch Twitch

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Speaker 1: polishitch Twitch. Why all right, we've got an on location

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Speaker 1: smooth Moves. I am sitting in one of my favorite places,

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Speaker 1: the official guide check of Cross Current Guide service on

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Speaker 1: the Upper Delaware River on the p a New York

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Speaker 1: boarder sitting here with our good friend and guide Marty Y.

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Speaker 1: Hi Marty, how are you? I'm great? How are you?

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Speaker 1: I'm terrific. It's good to see you in person. In person,

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Speaker 1: I feel like our relationship is more digitally, very digital.

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Speaker 1: It's very text based, text based relationship. But here we are,

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Speaker 1: we're hanging out and doing some fishing, So why not

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Speaker 1: record a smooth moves with you? How how long have

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Speaker 1: you been a guide Marty remind me, So I'm relatively

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Speaker 1: new in that sense. This is my fourth year. I'm

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Speaker 1: on my fourth season. Okay, but four years is enough

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Speaker 1: time to see some ridiculous shit. Oh yeah, I mean

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Speaker 1: for the amount of days that that we're out, it's yeah,

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Speaker 1: we see a lot of people, a lot of situations,

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Speaker 1: a lot of weird things. You guys get a lot

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Speaker 1: of New York City clientele and stuff. You pull people

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Speaker 1: from all over the place, all over So hit me, man,

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Speaker 1: what's the one that sticks out in your mind that's

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Speaker 1: like that. I just don't believe that ship just happened. Yeah.

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Speaker 1: So this was actually my first year. I was very new,

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Speaker 1: like very green cherry and maybe when have been like

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Speaker 1: my one of my first trips really, and I think

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Speaker 1: about it. So this guy, the real nice guy comes up.

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Speaker 1: He's from somewhere downstate and uh, he's somewhat new to

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Speaker 1: fly fishing. He's trying to get back into it. So

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Speaker 1: we we talk and he's like, you know, I need

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Speaker 1: I don't have waiters, I don't have geared. That's fine.

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Speaker 1: I'm like I got everything. What size are you? How perfect?

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Speaker 1: I got my old backup pair you can wear so

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Speaker 1: it's fine. Everything is great. We meet up, we're out

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Speaker 1: on the water. We actually have a pretty decent day,

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Speaker 1: like for you know, for my first year guiding considered

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Speaker 1: and and he's not a great you know at the time,

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Speaker 1: wasn't a grading um. But you know, we we schooled.

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Speaker 1: I schooled him up. We got on some fish and

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Speaker 1: then you know, throughout the day, I always check with people.

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Speaker 1: It's like, hey, do you need to take a leak?

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Speaker 1: Do you want to step out? Stretch your legs? So

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Speaker 1: I realized we're like an hour like six of the

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Speaker 1: day and the guy hasn't taken a piss once. And

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Speaker 1: I'm like, okay, I can I can do that. Yeah,

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Speaker 1: you know, it was a little bit older in Asian

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Speaker 1: and I take that into consideration. So I'm like, dude,

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Speaker 1: you know, do you want me to pull over? Do

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Speaker 1: you want to like take a league? He's like no.

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Speaker 1: Throughout the days like I'm good. I'm like, okay, go

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Speaker 1: out the day, stick a couple more fish, you know,

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Speaker 1: eat lunch, hanging out. Finally again back to like our

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Speaker 1: six seven, I'm like, all right, so you need to

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Speaker 1: piss because I'm gonna get out and piss. And he's

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Speaker 1: like I've been pissing, and I laughed. I was like,

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Speaker 1: I was like, ha ha ha, and he was like, no,

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Speaker 1: I've been pissing in the waiters and I was like,

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Speaker 1: excuse me. He's like, oh, is it not like a

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Speaker 1: wet suit. I'm like absolutely, And you know, these are

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Speaker 1: my old foots. They were They were boot foot actually,

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Speaker 1: so he was just filling his boots and he he

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Speaker 1: thought it was like a wet so he thought like, well,

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Speaker 1: I don't know, maybe it's a wet suit or dry

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Speaker 1: suit either one. You're not supposed to pee in wet

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Speaker 1: suits either. I don't know. I don't I'm not I

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Speaker 1: don't dive or anything. But it turns out he just like,

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Speaker 1: I'm sure he went a bunch of times and then

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Speaker 1: he felt he felt so bad. But you know, it

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Speaker 1: was like one of those situations where I was like,

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Speaker 1: you know, common sense will tell you, like you don't

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Speaker 1: put water on the inside of what you're trying to

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Speaker 1: keep out, like you know what I mean. Yeah, So

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Speaker 1: it turns out the guy ends up buying those waiters

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Speaker 1: he acquired that. Yeah, that's one of many stories I've

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Speaker 1: had in the last couple of years. Dude, that's so

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Speaker 1: gross gross, How uncomfortable is that to fish all day

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Speaker 1: and you're just pissing. Sure, you've had water in your

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Speaker 1: waiters exactly, like just getting water down your waiters. I know,

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Speaker 1: like when I have a leak in my winters. Instantly

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Speaker 1: I'm like, there's there's a leak in my winters, and

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Speaker 1: I'm like, I don't want these anymore waters. Immediately, this

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Speaker 1: guy just didn't give a ship. He's just pissing. Essentially,

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Speaker 1: he was pissing his pants too, because he remember, he

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Speaker 1: was still wearing like I don't know whatever pants like

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Speaker 1: shorts or jeans, whatever he was wearing underneath, So he

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Speaker 1: was still urinating, like in his underwear and pants as

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Speaker 1: well as inside of my backup waiters. You know what,

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Speaker 1: all right, people are gonna be all over this guy,

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Speaker 1: like I can, I can, I'm already here. Or imagine

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Speaker 1: the feedback we're gonna get. People can be like, what

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Speaker 1: could have dumbhass pisces and waiters. Uh, I can see

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Speaker 1: how this might happen, all right. For for folks who

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Speaker 1: know wet suits, you're supposed to piss in them. That's

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Speaker 1: part of the deal. That's what you do. Wait. Wait,

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Speaker 1: weights wait, are you, Yes, you weren't supposed to piss

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Speaker 1: in your wets You don't piss in dry suits. You

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Speaker 1: do piss in wet suits. Yes. In fact, particularly if

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Speaker 1: you're in cold water, pissing and wet suits is like

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Speaker 1: what you look forward to because it's a little little

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Speaker 1: jolt of heat all over your body, right, and and

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Speaker 1: so I can imagine someone who's only been in wet

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Speaker 1: suit and it's the first time, and waiters might assume

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Speaker 1: that it's the same. You know, let's call it evacuation protocol,

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Speaker 1: all right. But that said, how miserable would it be

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Speaker 1: to marinate in your own urine all day? To me?

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Speaker 1: I mean, it's just terrible to me mad. But I'm

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Speaker 1: also that dude, like I get a drop of barbecue

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Speaker 1: sauce on my share and I want to change it immediately.

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Speaker 1: So I couldn't. I couldn't just like fish in piss

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Speaker 1: filled waiters all day. Just Icky, We're gonna we're gonna

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Speaker 1: stick with the theme of Ikey, which you know, Halloween

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Speaker 1: and Nikki. That's what we got for you. Joe's got

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Speaker 1: a book for us this week. Yes Joe can read, Yes,

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Speaker 1: yes he can. It's almost time for freaking philistines, where

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Speaker 1: we choose a book like an actual book with printed

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Speaker 1: words and everything that we feel is worthy of your

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Speaker 1: time and attention. This one fits the Halloween and horror

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Speaker 1: flick motif. We are entering the world of large pred

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Speaker 1: it is, which is apparently something Bill Dance knows all about,

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Speaker 1: because here he is in The Predator. There's something out

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Speaker 1: there waiting for us, and it ain't old Man. He's

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Speaker 1: big as a thorny was, but he's a good one.

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Speaker 1: He just looked big then in that water. But but

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Speaker 1: unlike the somewhat racist depiction of the alien in that movie,

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Speaker 1: the Predator in the book Joe is going to tell

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Speaker 1: us about was actually real and much bigger and badder

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Speaker 1: than anyone could imagine. So listen up and get ready

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Speaker 1: to put down your screens and read. You're freaking philistines.

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Speaker 1: What'sst It's a guy who doesn't care about books or

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Speaker 1: interesting films and things. I have been obsessed with sharks

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Speaker 1: since I was a tiny little kid. When I turned teen,

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Speaker 1: I couldn't run to the tattoo polar fast enough to

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Speaker 1: get a great white inked on my leg. So it

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Speaker 1: should be no surprise that Jaws is my all time

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Speaker 1: favorite movie and in my opinion, the greatest phishing movie

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Speaker 1: of all time. But what many people don't realize is

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Speaker 1: that Jaws was inspired by a very real reign of

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Speaker 1: shark terror that occurred along the Jersey coast in the

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Speaker 1: summer of nineteen sixteen, and Hooper, played by Richard Dreyfuss,

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Speaker 1: even references those attacks in Jaws. And while it may

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Speaker 1: not be a fishing book per se, anyone who loves

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Speaker 1: sharks or Jaws or fishing for nasty predator fish really

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Speaker 1: needs to read Michael Capozo's Close to Shore. It is

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Speaker 1: the most detailed, beautifully written account of the events that

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Speaker 1: took place that summer, and it it's it's by far

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Speaker 1: my favorite work of historical nonfiction. A right Close to

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Speaker 1: Shore reads like an adventure novel, and what makes this

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Speaker 1: adventure all the more fascinating is the period of time

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Speaker 1: in which it's taking place. This is the final summer

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Speaker 1: before the US entered World War One. Vacationing at the

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Speaker 1: beaches was just really growing in popularity. Because train lines

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Speaker 1: could carry folks from New York and Philadelphia to the

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Speaker 1: coast pretty quickly, it was easier to get there, and

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Speaker 1: just as it is now in modern times, the beach

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Speaker 1: was a safe, happy, care free environment, which makes the

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Speaker 1: juxtaposition of these brutal attacks much starker. The first victim,

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Speaker 1: twenty year old Charles van Zante, was attacked on July one,

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Speaker 1: nineteen sixteen, while his parents watched in sheer horror from

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Speaker 1: the beach, and van Zante was swimming with his dog

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Speaker 1: in front of the Ingleside Hotel in beach Haven, New Jersey.

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Speaker 1: And Capuzzo describes the attack in truly blood curdling detail,

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Speaker 1: and Charles was actually rescued and made it to the

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Speaker 1: beach alive, but the shark had just done a number

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Speaker 1: on his leg and it severed his femeral artery. You know.

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Speaker 1: His father, who was actually a doctor, rushed him to

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Speaker 1: the hotel office, agonizing because they knew they'd never get

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Speaker 1: him to the closest hospital, about twenty miles away in time,

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Speaker 1: so they made a makeshift operating table out of the

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Speaker 1: office door. But despite their best efforts and with limited supplies,

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Speaker 1: Charles died of shock and massive hemorrhaging at the hotel. Now,

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Speaker 1: the passage that follows charles death really sets the tone

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Speaker 1: for the rest of the book, and you can see

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Speaker 1: just how closely it mirrors the plot line of Jaws.

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Speaker 1: That evening, a hush fell over the Angleside dining room,

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Speaker 1: But after dinner hotel guest cornered fisherman and bayman and

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Speaker 1: other wise and veterans of the shore, who drifted on

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Speaker 1: and off the veranda all night long. The red trails

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Speaker 1: of pipes and cigars waved in the night, and the

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Speaker 1: number of people who had witnessed the attacks seemed to

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Speaker 1: grow by the hour. Robert Angle tried to remain stoic

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Speaker 1: and calm as reporters from Philadelphia newspapers scuttled about the

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Speaker 1: lobby and veranda, questioning his guests. Disagreements and arguments broke out,

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Speaker 1: until finally a consensus emerged of suspects in young van

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Speaker 1: Zandt's death. A giant tuna, a shark, but most likely

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Speaker 1: a giant sea turtle, which had the power the fisherman

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Speaker 1: said to snap a man in half. The attending physician

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Speaker 1: had a different opinion. He recorded the primary cause of

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Speaker 1: death on van Zandt's death certificate as hemorrhage from femoral

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Speaker 1: artery left side, with the contributory cause being bitten by

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Speaker 1: a shark while bathing. It was the first time a

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Speaker 1: shark bite had appeared as an official cause of death

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Speaker 1: in U s history. Seeking to reassure his guests, Angle

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Speaker 1: stood and declared bathers had nothing to worry about. The

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Speaker 1: Next morning, the hotel would erect a netting around the

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Speaker 1: beach strong enough to block German U boats swimming in

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Speaker 1: the clear paradisal waters of Angleside would go on as usual,

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Speaker 1: but a somber mood pervaded the Ingleside that evening, as

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Speaker 1: one by one the hundreds of room lights that cast

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Speaker 1: out over the shore winked out. A new and nameless

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Speaker 1: fear had seized the guests, a fear the unknown as

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Speaker 1: well as a fear of the sea. Even those who

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Speaker 1: watched the attack had little notion of what they had witnessed,

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Speaker 1: except to agree, as W. K. Barkley told whoever would listen, Mr.

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Speaker 1: Van Zandt's death was the most horrible thing I ever saw.

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Speaker 1: That scene sets the tone for the entire rest of

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Speaker 1: the book, and of course, more attacks followed after van Zandt,

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Speaker 1: which set off a media frenzy and hysteria that ultimately

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Speaker 1: led to Shark Hunt's coastwide, with everything from rifles to

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Speaker 1: nets to dynamite, debating hooks with cow lungs, and interestingly,

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Speaker 1: and while I don't want to give too much of

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Speaker 1: the ending away, the culprit remains a mystery and is

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Speaker 1: still debated to this day. Was it a white shark

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Speaker 1: or was it a bull shark? And Capuozo does a

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Speaker 1: terrific job of breaking down all sides of the argument

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Speaker 1: towards the end of the story. But the most important

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Speaker 1: takeaway from Close to Shore is that without these attacks

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Speaker 1: from nineteen sixt there probably would have been no jaws.

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Speaker 1: These events single handedly created the mindset that sharks are

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Speaker 1: vicious killers that need to be feared, which sadly still

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Speaker 1: persists today with many people, despite time and science debunking

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Speaker 1: the idea that sharks are ferocious man hunters. Now that

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Speaker 1: your blood is fully curdled, let's shift from a history

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Speaker 1: lesson to current events, it's time for fish news. Fish

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Speaker 1: news that escalated quickly, so here we go. This is

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Speaker 1: the part of the show where we fill you guys

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Speaker 1: in on the most pertinent fish or fishing related news

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Speaker 1: we think you good people need to know about, or

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Speaker 1: in some cases we just give you whatever we could

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Speaker 1: find this week that somehow loosely connects to the overriding

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Speaker 1: theme of fishing that we try to maintain. Uh as

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Speaker 1: a reminder, this is a competition. At the end of

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Speaker 1: news are tremendously talented and rather good looking audio engineer

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Speaker 1: Phil will Claire and News winner. And I gotta say, like,

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Speaker 1: we don't we don't take this lightly, you know what

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Speaker 1: I mean. I'm scared like this. It's it's every week.

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Speaker 1: It's like stepping into a cage match. And while while

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Speaker 1: I may be heavier, Miles is faster and more nimble,

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Speaker 1: and Phil has great hair. Let me just point that out.

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Speaker 1: But you know, this takes bravery people, similar i'd imagine

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Speaker 1: to the bravery that Bill Dance had to muster when

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Speaker 1: he encountered Jason Vorhees for the first time in Friday thirteenth,

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Speaker 1: Part eight, Jason takes Manhattan. And do we have a

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Speaker 1: clip of that lined up? Phil? I believe we do.

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Speaker 1: Here's what that sounded like. What you gonna do? Huh,

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Speaker 1: she's gonna do? Huh show off a little So I

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Speaker 1: think I think I think Miles is about to show

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Speaker 1: off a little bit. How do you because because how

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Speaker 1: do you follow up Bill dance doing that? I don't know,

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Speaker 1: but you're the leadoff man thrust to the shoulder, So

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Speaker 1: you got I got, I got every center here. Huh.

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Speaker 1: So Okay, despite my admitted disdain for Halloween, I'm leading

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Speaker 1: off with kind of a little like a sort of

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Speaker 1: spooky story. Start off fish news this week, all right.

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Speaker 1: Dan Boudrey was fishing an undisclosed location near Paris, Tennessee, recently,

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Speaker 1: which is just a nice way of him saying that

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Speaker 1: he doesn't want all you jerk nuts coming to his

404
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Speaker 1: fishing hole. But considering what happened to him, I don't

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00:23:42,400 --> 00:23:44,359
Speaker 1: know that I would fish the spot even if he

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Speaker 1: had named it, or I did live within driving distance

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Speaker 1: of Paris, Tennessee. Anyway, Dan was fishing a jointed crank

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Speaker 1: bait from shore when he hooked into a respectable little

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Speaker 1: large mouth bass. Nothing nothing to crawl about, nothing, nothing's

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Speaker 1: gonna win any contest, but not a dink decent, you know,

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Speaker 1: he's a bass, nice everyday bass. Anyway, Dan brings in

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Speaker 1: his bass and as he goes to remove the hook,

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Speaker 1: he sees the head of a live and riding snake

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Speaker 1: looking up at him from inside the bass's mouth. Okay,

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Speaker 1: all right. From the look of the photo that Dan posted,

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Speaker 1: I'm guessing he freaked out at that point and then

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Speaker 1: just like drop the fish, which is like a totally

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Speaker 1: understandable reaction. But I say that because in the shot,

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00:24:32,640 --> 00:24:35,479
Speaker 1: both the bass and the crank bait are just covered

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00:24:35,520 --> 00:24:39,200
Speaker 1: in dirt and there's like like fallen leaves like stuck

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00:24:39,240 --> 00:24:41,600
Speaker 1: to the back of the bass. It's the classic dirt

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Speaker 1: shot you see like people Griffin grant on On on Instagram,

423
00:24:44,800 --> 00:24:46,840
Speaker 1: and it's like the fish is just covered in leaves.

424
00:24:47,160 --> 00:24:50,640
Speaker 1: It's like an I'm like, that's like a pet peeve

425
00:24:50,680 --> 00:24:53,040
Speaker 1: of mine. Dunked the damn thing back in the water

426
00:24:53,160 --> 00:24:55,480
Speaker 1: for a second. But in this case, I think it's

427
00:24:55,480 --> 00:24:58,280
Speaker 1: totally valid. Like normally I hate on the dirt shot,

428
00:24:58,320 --> 00:25:01,080
Speaker 1: but this one, I'm not skulled Cam. I'm scalding all

429
00:25:01,119 --> 00:25:03,040
Speaker 1: the other people and they're like what I got this weekend.

430
00:25:03,080 --> 00:25:06,840
Speaker 1: I'm like, it's a pile of dirt and leaves. Oh.

431
00:25:06,880 --> 00:25:08,560
Speaker 1: But like when you look at the picture, I get

432
00:25:08,600 --> 00:25:11,040
Speaker 1: it again because you don't notice the dirt fish. What

433
00:25:11,160 --> 00:25:16,160
Speaker 1: you notice is the snake front and center sticking out

434
00:25:16,600 --> 00:25:20,160
Speaker 1: of the bass's gullet. And and supposedly writhing around inside

435
00:25:20,160 --> 00:25:24,359
Speaker 1: of its mouth. But good news for Dan, the fish

436
00:25:24,400 --> 00:25:26,080
Speaker 1: was hooked on the outside of the jaw, which you

437
00:25:26,080 --> 00:25:28,679
Speaker 1: can also clearly see in the photo. The front treble

438
00:25:28,720 --> 00:25:31,760
Speaker 1: is hooked on the outside of of the fish is mandible,

439
00:25:31,840 --> 00:25:33,920
Speaker 1: so he was able to retrieve his lure without ever

440
00:25:34,400 --> 00:25:37,720
Speaker 1: putting his fingers into striking distance because again, this fish,

441
00:25:37,880 --> 00:25:41,760
Speaker 1: the snake rather, was alive at this point. Even even

442
00:25:41,880 --> 00:25:45,600
Speaker 1: better news for Dan and the bass, the snake was

443
00:25:45,680 --> 00:25:49,879
Speaker 1: identified as a northern water snake, not the more dangerous

444
00:25:49,920 --> 00:25:53,680
Speaker 1: water moccasin, which share habitat and range and look pretty similar.

445
00:25:53,880 --> 00:25:57,360
Speaker 1: But you know, like you don't know in that moment. Well, yeah,

446
00:25:57,640 --> 00:25:59,960
Speaker 1: like you have no idea. And and while water stay

447
00:26:00,040 --> 00:26:02,400
Speaker 1: you can grow over four ft long, they're not poisonous,

448
00:26:02,440 --> 00:26:05,359
Speaker 1: so Dan was never in any real danger. But again,

449
00:26:05,480 --> 00:26:07,040
Speaker 1: like I said, he didn't know that at the time.

450
00:26:07,400 --> 00:26:10,360
Speaker 1: Dan told a local reporter quote, I'm new to Tennessee,

451
00:26:10,640 --> 00:26:12,840
Speaker 1: so I'm not real familiar with the look of venomous

452
00:26:12,880 --> 00:26:18,040
Speaker 1: species here. Dan successfully released the bass after snapping those

453
00:26:18,240 --> 00:26:20,879
Speaker 1: those photos. So the only real loser in this story

454
00:26:20,920 --> 00:26:23,959
Speaker 1: is the snake, who was i mean assumedly digested by

455
00:26:24,000 --> 00:26:28,040
Speaker 1: the bass after it got let go. Well, I could

456
00:26:28,080 --> 00:26:30,840
Speaker 1: go way off on a water snake misidentified as a

457
00:26:30,880 --> 00:26:33,200
Speaker 1: poisonous snake story that my mom ended up having to

458
00:26:33,280 --> 00:26:35,400
Speaker 1: kill with a shovel, But that would take too long.

459
00:26:36,840 --> 00:26:39,119
Speaker 1: That would take too long. So I'm gonna attack on

460
00:26:39,160 --> 00:26:43,080
Speaker 1: a few more things. One. I've been to Paris, Tennessee, Okay,

461
00:26:43,280 --> 00:26:45,920
Speaker 1: and it's like the catfish Capital of Tennessee or something

462
00:26:46,000 --> 00:26:49,640
Speaker 1: like that. But I was there. I was hanging out

463
00:26:49,640 --> 00:26:53,080
Speaker 1: on the property of Hank Williams Jr. With Hank three

464
00:26:53,200 --> 00:26:54,840
Speaker 1: and I caught a bunch of crop ees out of

465
00:26:54,880 --> 00:26:57,440
Speaker 1: out of Hank Williams pond before he kicked us off

466
00:26:57,480 --> 00:27:00,160
Speaker 1: the property. That's another story. I don't have time are

467
00:27:00,240 --> 00:27:02,879
Speaker 1: right now, but I think the overriding thing here that

468
00:27:03,200 --> 00:27:05,919
Speaker 1: I take away from this the most. That's what I

469
00:27:05,960 --> 00:27:07,480
Speaker 1: was wondering. What kind of snake is it? That's a

470
00:27:07,520 --> 00:27:10,560
Speaker 1: big question. But besides that, how many times over the

471
00:27:10,640 --> 00:27:14,119
Speaker 1: years have you seen somebody it's actually pretty recently trying

472
00:27:14,160 --> 00:27:17,119
Speaker 1: to push a snake lure savage gear. I believe it

473
00:27:17,240 --> 00:27:20,200
Speaker 1: was only a couple of years ago at at eye cast.

474
00:27:20,600 --> 00:27:22,320
Speaker 1: They're big release and of course they're the ones that

475
00:27:22,359 --> 00:27:24,560
Speaker 1: are always like making the bats and the baby panda

476
00:27:24,600 --> 00:27:27,359
Speaker 1: and the most deal they're big thing was a snake.

477
00:27:27,520 --> 00:27:30,360
Speaker 1: And even way before that, I've got old soft plastics

478
00:27:30,359 --> 00:27:32,040
Speaker 1: in the garage. I don't even remember what companies, but

479
00:27:32,080 --> 00:27:35,400
Speaker 1: they're they're like molded garter snakes. And then then these

480
00:27:35,440 --> 00:27:38,280
Speaker 1: people that like really try and push that as a

481
00:27:38,320 --> 00:27:41,439
Speaker 1: food source, like like you need to be doing snake

482
00:27:42,119 --> 00:27:46,480
Speaker 1: same time, but yeah, same time, dude. How many hundreds

483
00:27:46,480 --> 00:27:49,680
Speaker 1: of thousands of snakes have I watched swim across ponds

484
00:27:49,760 --> 00:27:53,399
Speaker 1: and ditches and I have never seen one get eaten, So,

485
00:27:53,520 --> 00:27:56,080
Speaker 1: I mean, I know it happens, but that's every time

486
00:27:56,080 --> 00:27:58,800
Speaker 1: I see the snake in the fish mouth thing. That's

487
00:27:58,800 --> 00:28:00,520
Speaker 1: what I think is that they're actually people out there

488
00:28:00,560 --> 00:28:03,800
Speaker 1: trying to promote that and tell you, like you gotta

489
00:28:03,880 --> 00:28:05,520
Speaker 1: use more snake. They eat these things all time. They

490
00:28:05,520 --> 00:28:07,560
Speaker 1: do this all the time, and I'm not so convinced.

491
00:28:07,560 --> 00:28:09,359
Speaker 1: I think it's like duck nungs. I think it's pretty rare.

492
00:28:09,880 --> 00:28:13,560
Speaker 1: It happens occasionally. Um, there's a great video out there

493
00:28:13,720 --> 00:28:18,280
Speaker 1: somewhere of someone doing a homemade snake bait like rattlesnake

494
00:28:18,320 --> 00:28:21,040
Speaker 1: bait and getting the giant rainbow trout on one. But

495
00:28:21,359 --> 00:28:23,720
Speaker 1: just because it has happened and someone cut on camera

496
00:28:23,760 --> 00:28:25,600
Speaker 1: doesn't mean that it's the thing that you should be

497
00:28:25,680 --> 00:28:28,480
Speaker 1: chasing for your bite. That's what I'll say. I the

498
00:28:28,520 --> 00:28:30,959
Speaker 1: reason that I gravitated to the story was really just

499
00:28:31,040 --> 00:28:33,359
Speaker 1: like Dan was such a relatable character to me. Is like,

500
00:28:33,520 --> 00:28:35,399
Speaker 1: I don't know what's just happened, but I got a

501
00:28:35,480 --> 00:28:38,040
Speaker 1: best and there's a snakehead sticking out and is looking

502
00:28:38,080 --> 00:28:40,080
Speaker 1: at me, and I didn't know what to do, and

503
00:28:40,080 --> 00:28:42,520
Speaker 1: and so really, for me, the reason that what sold

504
00:28:42,520 --> 00:28:44,400
Speaker 1: me on this story was Dan. So thank you, Dan.

505
00:28:44,480 --> 00:28:46,239
Speaker 1: I feel like you're someone I could hang out with.

506
00:28:46,480 --> 00:28:48,360
Speaker 1: I feel the same way. I love Dan. I love

507
00:28:48,440 --> 00:28:50,240
Speaker 1: the story. And it's kind of like a little theme

508
00:28:50,280 --> 00:28:51,880
Speaker 1: as of late, because I did not grab this as

509
00:28:51,880 --> 00:28:53,640
Speaker 1: a news story. But there's also the one going around

510
00:28:53,640 --> 00:28:56,080
Speaker 1: in the Dude is just chief in on that alligator

511
00:28:56,240 --> 00:28:58,000
Speaker 1: but it's coming up out of dark water. He doesn't

512
00:28:58,000 --> 00:28:59,840
Speaker 1: know what it is, and he's just cranking on the

513
00:29:00,000 --> 00:29:01,640
Speaker 1: out of the boat and like Heathen, all of a sudden,

514
00:29:01,640 --> 00:29:04,840
Speaker 1: that head pops up. So there's been like some some fishing,

515
00:29:04,880 --> 00:29:09,560
Speaker 1: reptile uh things things happening just in time for Halloween.

516
00:29:09,880 --> 00:29:17,760
Speaker 1: Just in time for Halloween. I don't have a Halloween

517
00:29:17,800 --> 00:29:19,920
Speaker 1: tie here. I have to go history lesson. But I

518
00:29:20,000 --> 00:29:22,480
Speaker 1: know you're gonna like this story. Uh. This one comes

519
00:29:22,480 --> 00:29:28,400
Speaker 1: to us from Discover magazine dot com headline how old

520
00:29:28,520 --> 00:29:32,600
Speaker 1: family fishing photos unlock the history of Atlantic fisheries. Damn it?

521
00:29:33,800 --> 00:29:38,400
Speaker 1: Oh it happened twelve episodes. I just jacked your ship,

522
00:29:38,480 --> 00:29:45,360
Speaker 1: didn't I You just jacked my ship. Man, Ah, it

523
00:29:45,440 --> 00:29:50,040
Speaker 1: was gonna happen. Oh man, you just got me. But

524
00:29:50,240 --> 00:29:52,920
Speaker 1: I guarantee that I have a whole whole side bar

525
00:29:53,000 --> 00:29:55,080
Speaker 1: of this that you didn't cover. So I'll just follow

526
00:29:55,120 --> 00:29:58,360
Speaker 1: you up. You go right on ahead. Oh man, Well,

527
00:29:58,520 --> 00:30:00,840
Speaker 1: history just got made for I said, is a history lesson?

528
00:30:00,880 --> 00:30:03,280
Speaker 1: History just got made? You're listening to it right now.

529
00:30:03,800 --> 00:30:09,280
Speaker 1: The first the first news clash. Is this the story

530
00:30:09,320 --> 00:30:11,960
Speaker 1: that you thought I would grab? No, I thought you

531
00:30:12,000 --> 00:30:14,160
Speaker 1: were going to get the snake Bass one. That's why

532
00:30:14,200 --> 00:30:17,760
Speaker 1: I left that one, because that's that's more of a

533
00:30:17,800 --> 00:30:19,680
Speaker 1: me story and I didn't even see that one. Well,

534
00:30:19,680 --> 00:30:24,840
Speaker 1: I have to continue where the clock is running, my friend. Uh. Anyway,

535
00:30:24,920 --> 00:30:28,640
Speaker 1: this story centers around Rusty Hudson, which is a badass name.

536
00:30:28,680 --> 00:30:32,040
Speaker 1: I gotta sneak that in there. Rusty Hudson. Very cool

537
00:30:32,120 --> 00:30:35,320
Speaker 1: name anyway. Rusty grew up in Daytona Beach, Florida, and

538
00:30:35,360 --> 00:30:37,320
Speaker 1: he's been in the fishing industry his whole life. Starting

539
00:30:37,320 --> 00:30:39,920
Speaker 1: at age nine, he was the bait boy on his

540
00:30:39,960 --> 00:30:43,720
Speaker 1: grandfather's charter boat, whose name happened to be Captain Jake Stone.

541
00:30:44,280 --> 00:30:47,240
Speaker 1: Also a hell of badass name. Just an observation like,

542
00:30:47,600 --> 00:30:51,880
Speaker 1: is this a real family just a bunch of badasses? Yeah? Yeah?

543
00:30:51,920 --> 00:30:54,240
Speaker 1: Are they a real family or characters from Roadhouse? I'm

544
00:30:54,240 --> 00:30:57,560
Speaker 1: really not sure, but I digress there. So Rusty worked

545
00:30:57,600 --> 00:31:00,360
Speaker 1: on family fishing boats all through the sixties, and one

546
00:31:00,400 --> 00:31:02,800
Speaker 1: of his many jobs as a young man was taking

547
00:31:02,800 --> 00:31:05,160
Speaker 1: photos of the clients with their catch at the end

548
00:31:05,200 --> 00:31:06,880
Speaker 1: of the day. Add up all those years and it's

549
00:31:06,880 --> 00:31:09,200
Speaker 1: a ton of photos, right, And here's where it gets

550
00:31:09,240 --> 00:31:12,680
Speaker 1: interesting from the story. Years later, the historic photos are

551
00:31:12,680 --> 00:31:15,520
Speaker 1: providing more than just memories of a fun day fishing

552
00:31:15,520 --> 00:31:18,920
Speaker 1: on the water. Hudson realized how valuable his family photos

553
00:31:18,920 --> 00:31:22,200
Speaker 1: could be in recreating the catch from the nineteen forties

554
00:31:22,240 --> 00:31:26,120
Speaker 1: through seventies, a time before scientific monitoring programs collected data

555
00:31:26,160 --> 00:31:30,400
Speaker 1: on recreational and four higher fisheries, and he says, I

556
00:31:30,640 --> 00:31:33,520
Speaker 1: felt the four higher pictures of the past could illustrate

557
00:31:33,800 --> 00:31:37,040
Speaker 1: the range of fishing conditions and catches to fishery scientists

558
00:31:37,040 --> 00:31:40,320
Speaker 1: and managers. Um and Hudson says knowing more about the

559
00:31:40,320 --> 00:31:42,560
Speaker 1: fisheries of the past could help us all better understand

560
00:31:42,600 --> 00:31:46,240
Speaker 1: the health of fish populations today, and this notion ultimately

561
00:31:46,280 --> 00:31:49,320
Speaker 1: led to the creation of the fish Tery Project. And

562
00:31:49,360 --> 00:31:52,360
Speaker 1: the story says it started after Rusty took part in

563
00:31:52,360 --> 00:31:55,040
Speaker 1: the stock assessment for red snapper in the South Atlantic

564
00:31:55,560 --> 00:31:58,000
Speaker 1: and during that time he showed scientists in the program

565
00:31:58,000 --> 00:32:00,560
Speaker 1: these hundreds of historic photos he had, and that kind

566
00:32:00,560 --> 00:32:04,760
Speaker 1: of kick started the discussion. But it takes a lot

567
00:32:04,800 --> 00:32:06,960
Speaker 1: of manpower and a lot of time to analyze all

568
00:32:07,000 --> 00:32:10,120
Speaker 1: these photos. It's a huge job. So there's a big

569
00:32:10,160 --> 00:32:11,840
Speaker 1: group out there, some of you may have heard of it,

570
00:32:11,920 --> 00:32:15,880
Speaker 1: South Atlantic Fishery Management Council, and those folks are responsible

571
00:32:15,880 --> 00:32:18,920
Speaker 1: for the conservation and management of fisheries in federal waters

572
00:32:18,920 --> 00:32:22,680
Speaker 1: from North Carolina through the Florida Keys. And they created

573
00:32:22,720 --> 00:32:27,200
Speaker 1: something called the Citizen Science Program and that works with fisherman,

574
00:32:27,280 --> 00:32:30,720
Speaker 1: scientists and managers to co create citizen science projects that

575
00:32:30,760 --> 00:32:34,240
Speaker 1: aligned with s A f m c S research needs.

576
00:32:34,280 --> 00:32:36,960
Speaker 1: So this citizens Science program teamed up with Hudson and

577
00:32:37,000 --> 00:32:40,480
Speaker 1: Noah fishery scientists to create a project to work with

578
00:32:40,600 --> 00:32:44,600
Speaker 1: volunteers what they're calling citizen scientists, and they are the

579
00:32:44,640 --> 00:32:48,800
Speaker 1: ones that are now analyzing all of these historic photos.

580
00:32:48,840 --> 00:32:53,240
Speaker 1: So Fisheries all online based volunteer program. Anyone of any

581
00:32:53,280 --> 00:32:56,160
Speaker 1: skill level can can join the fund because even if

582
00:32:56,160 --> 00:32:58,680
Speaker 1: you know a little about fish, they have programs within

583
00:32:58,720 --> 00:33:01,600
Speaker 1: the program to teach you how to identify all the

584
00:33:01,640 --> 00:33:04,880
Speaker 1: different species, and they identify and count them. Each photo

585
00:33:04,960 --> 00:33:07,160
Speaker 1: is analyzed by more than one volunteer. If there's a

586
00:33:07,160 --> 00:33:11,120
Speaker 1: big discrepancy, it gets kicked up to experts, and um,

587
00:33:11,200 --> 00:33:13,200
Speaker 1: I think it's the part where we're we're gonna since

588
00:33:13,240 --> 00:33:15,440
Speaker 1: now I know we have the same story, Like I

589
00:33:15,480 --> 00:33:17,640
Speaker 1: think the follow up to this where we may differ on.

590
00:33:17,720 --> 00:33:21,360
Speaker 1: But but Hudson calls us a dream come true and

591
00:33:21,400 --> 00:33:25,040
Speaker 1: believes the analyzing of these photos can can inform future science.

592
00:33:25,080 --> 00:33:27,840
Speaker 1: And to be clear, this only started last May, so

593
00:33:27,880 --> 00:33:31,040
Speaker 1: it's right now it's only Hudson's hundreds of photos that

594
00:33:31,080 --> 00:33:34,880
Speaker 1: are being analyzed, but there are over volunteers. They've made

595
00:33:34,920 --> 00:33:39,720
Speaker 1: over thousand classifications. There are still hundreds of photos to analyze,

596
00:33:39,720 --> 00:33:42,600
Speaker 1: and if this works, then the team hopes to expand

597
00:33:42,640 --> 00:33:45,400
Speaker 1: it to collect photos from other fishermen and stakeholders all

598
00:33:45,440 --> 00:33:49,000
Speaker 1: across the South Atlantic. Now, on the surface, I think

599
00:33:49,000 --> 00:33:52,479
Speaker 1: this is super cool and bravo on the idea, and

600
00:33:52,520 --> 00:33:54,760
Speaker 1: I think we both. I mean, I I just love

601
00:33:54,840 --> 00:33:57,920
Speaker 1: looking at old fishing photos, so so this is great

602
00:33:58,520 --> 00:34:01,200
Speaker 1: and I feel like kind have a jerk kind of,

603
00:34:01,280 --> 00:34:02,960
Speaker 1: but I gotta say that I also think this is

604
00:34:03,040 --> 00:34:06,360
Speaker 1: flawed a bit, and I'm not entirely certain this is

605
00:34:06,400 --> 00:34:11,000
Speaker 1: as valuable as as Rusty hopes. But before I go on,

606
00:34:11,200 --> 00:34:14,160
Speaker 1: since since I know we've crossed over, I'm gonna let

607
00:34:14,160 --> 00:34:16,080
Speaker 1: you jump in, like, what what are your thoughts on

608
00:34:16,120 --> 00:34:18,360
Speaker 1: the whole thing? So I had a different lead to

609
00:34:18,360 --> 00:34:20,800
Speaker 1: this because I think you missed some of the historical

610
00:34:20,960 --> 00:34:24,000
Speaker 1: context on this one, okay, And that's where I think

611
00:34:24,040 --> 00:34:28,279
Speaker 1: this actually becomes valuable and interesting, right, And I think

612
00:34:28,480 --> 00:34:30,839
Speaker 1: I think I think it. We need to start by saying, like,

613
00:34:31,600 --> 00:34:33,680
Speaker 1: we like a good grip and green photo as much

614
00:34:33,719 --> 00:34:37,200
Speaker 1: as anyone else, right, Like we except maybe Lance V.

615
00:34:37,360 --> 00:34:39,000
Speaker 1: We like a good grip and green photo as much

616
00:34:39,000 --> 00:34:41,799
Speaker 1: as anybody you might meet. But and in fact, in fact,

617
00:34:42,160 --> 00:34:43,880
Speaker 1: just just a little heads up here, we've got a

618
00:34:43,880 --> 00:34:45,960
Speaker 1: whole segment devoted to grip and grins that's gonna come

619
00:34:46,000 --> 00:34:48,760
Speaker 1: up after fish News. But like, I love the idea

620
00:34:48,840 --> 00:34:52,360
Speaker 1: that the grip and groen photos have the potential to

621
00:34:52,360 --> 00:34:54,960
Speaker 1: to do like actual good in the world. So that's

622
00:34:55,000 --> 00:34:57,040
Speaker 1: that's the first part of the story that I appreciate,

623
00:34:57,120 --> 00:35:01,040
Speaker 1: is like finding something yes, substant ofly good about gripping

624
00:35:01,080 --> 00:35:02,960
Speaker 1: grins because people love to hate on them so much,

625
00:35:03,040 --> 00:35:04,279
Speaker 1: and and this is the way of being like, oh

626
00:35:04,320 --> 00:35:07,440
Speaker 1: you hate gripping grins, look at this science. Yep. Also,

627
00:35:08,200 --> 00:35:10,880
Speaker 1: I love citizen science. It's something I'm really big on.

628
00:35:11,000 --> 00:35:13,239
Speaker 1: But there's some there's some some history here that I

629
00:35:13,239 --> 00:35:15,319
Speaker 1: think it's really important. And so give me a chance

630
00:35:15,320 --> 00:35:17,400
Speaker 1: to set up where I think I might maybe be

631
00:35:17,440 --> 00:35:19,960
Speaker 1: able to change your mind about the validity of this. Okay,

632
00:35:19,960 --> 00:35:21,279
Speaker 1: well do you do you want to hear my like

633
00:35:21,320 --> 00:35:23,920
Speaker 1: the end of my argument before before we're duking it

634
00:35:23,960 --> 00:35:27,600
Speaker 1: out double double duking out today. But I'll just say again,

635
00:35:27,640 --> 00:35:30,799
Speaker 1: if I miss something, shame on me. But the thing is,

636
00:35:30,840 --> 00:35:32,840
Speaker 1: like I feel like this works because you've got this

637
00:35:32,880 --> 00:35:35,680
Speaker 1: guy that's got hundreds of photos from the same docks

638
00:35:35,719 --> 00:35:39,439
Speaker 1: from the same area for all those years. But that's

639
00:35:39,480 --> 00:35:41,920
Speaker 1: not an easy thing to find elsewhere. It's not easy

640
00:35:41,960 --> 00:35:44,239
Speaker 1: to find a vast collection of fish photos from a

641
00:35:44,239 --> 00:35:47,320
Speaker 1: given area over this massive date range, which I feel like,

642
00:35:47,320 --> 00:35:49,600
Speaker 1: if you're actually gonna pull any useful data from a

643
00:35:49,640 --> 00:35:53,240
Speaker 1: study like this, do you need to have what he has?

644
00:35:53,960 --> 00:35:56,400
Speaker 1: And in my mind, it's also like we already we

645
00:35:56,440 --> 00:35:58,880
Speaker 1: know stocks are declining, we know that that's a given.

646
00:35:59,000 --> 00:36:01,800
Speaker 1: But if you had like Captain's log data on c

647
00:36:02,080 --> 00:36:05,000
Speaker 1: tempts for all those years, weather patterns, how much bait

648
00:36:05,080 --> 00:36:08,440
Speaker 1: they were seeing? Okay, but I don't know. I I

649
00:36:08,920 --> 00:36:11,280
Speaker 1: read it as they're just I ding and counting fish

650
00:36:11,280 --> 00:36:13,160
Speaker 1: for the most part, because what else do they get

651
00:36:13,160 --> 00:36:15,640
Speaker 1: out of a photo? And you know, Rusty had said

652
00:36:15,680 --> 00:36:20,080
Speaker 1: these photos helped capture a range of fishing conditions. How

653
00:36:20,600 --> 00:36:23,839
Speaker 1: like I am I missing something? Yeah? So here's this

654
00:36:23,880 --> 00:36:25,560
Speaker 1: isn't the first time this has been done, and this

655
00:36:25,640 --> 00:36:27,759
Speaker 1: is this is where I think, this is what I

656
00:36:27,800 --> 00:36:30,160
Speaker 1: where I see the value in this. Okay, So let

657
00:36:30,160 --> 00:36:31,720
Speaker 1: me let me start with a little bit of background.

658
00:36:31,880 --> 00:36:36,280
Speaker 1: The term shifting baseline syndrome was coined to describe humans

659
00:36:36,320 --> 00:36:40,880
Speaker 1: general inability to measure long term changes in our natural environment. Right,

660
00:36:40,920 --> 00:36:43,360
Speaker 1: because because individuals only live for a short period of

661
00:36:43,360 --> 00:36:46,680
Speaker 1: time in comparison to the life of a species, it's

662
00:36:46,840 --> 00:36:50,080
Speaker 1: very difficult for us to accurately assess long term changes

663
00:36:50,080 --> 00:36:53,640
Speaker 1: in the world around us. Right. Whatever you experienced throughout

664
00:36:53,640 --> 00:36:58,440
Speaker 1: your life dictates your baseline for normal, but that baseline

665
00:36:58,480 --> 00:37:01,080
Speaker 1: resets or shifts with the next generation. Right, So like

666
00:37:01,320 --> 00:37:03,239
Speaker 1: when when when you're like, hey, grandma had a great

667
00:37:03,360 --> 00:37:04,880
Speaker 1: I had a great day to day, I caught like

668
00:37:04,920 --> 00:37:07,360
Speaker 1: six travoli and two puffer fish and a barracuda, and

669
00:37:07,400 --> 00:37:09,400
Speaker 1: Grandma's like, that's not a great day. That's terrible. When

670
00:37:09,400 --> 00:37:11,440
Speaker 1: I was your couldn't do that an hour And they're

671
00:37:11,480 --> 00:37:13,080
Speaker 1: all bigger than the ones you got. And now I

672
00:37:13,120 --> 00:37:15,840
Speaker 1: know too many grandma's talk to because they're like, oh,

673
00:37:15,880 --> 00:37:17,440
Speaker 1: ye had a good day. Yeah you think that was

674
00:37:17,440 --> 00:37:18,960
Speaker 1: a good day, I'll tell you what a good day.

675
00:37:19,160 --> 00:37:21,200
Speaker 1: And and the thing is, in that case, you're both right.

676
00:37:21,280 --> 00:37:24,959
Speaker 1: It's just the concepts of good or pristine they get

677
00:37:25,000 --> 00:37:28,600
Speaker 1: reset generationally, and that's where we get this idea of

678
00:37:28,640 --> 00:37:32,320
Speaker 1: the shifting baseline syndrome, and that's become a central tenant

679
00:37:32,360 --> 00:37:37,319
Speaker 1: across the natural sciences. Right. Researchers recognize that that our

680
00:37:37,360 --> 00:37:39,759
Speaker 1: planet and the populations of plants and animals that live

681
00:37:39,800 --> 00:37:42,920
Speaker 1: here have changed dramatically in the past hundred and fifty years,

682
00:37:42,960 --> 00:37:46,960
Speaker 1: but we as individuals don't generally notice those changes because

683
00:37:47,400 --> 00:37:50,640
Speaker 1: they happen too slowly. Right and and this this concept

684
00:37:50,719 --> 00:37:53,239
Speaker 1: is a big deal these days. Uh and and a

685
00:37:53,239 --> 00:37:54,920
Speaker 1: lot of our listeners have probably heard of it. But

686
00:37:55,360 --> 00:37:58,440
Speaker 1: the thing is what we're talking about right now with Rusty.

687
00:37:58,600 --> 00:38:01,560
Speaker 1: This has happened before. Fishing played a major part in

688
00:38:01,880 --> 00:38:05,720
Speaker 1: people coming up with the idea of the shifting baseline theory.

689
00:38:06,040 --> 00:38:08,680
Speaker 1: It was originally put forth by a fisheries biologist named

690
00:38:08,760 --> 00:38:14,160
Speaker 1: Daniel Pauly. Back in Paully proposed that our fish stocks

691
00:38:14,160 --> 00:38:17,600
Speaker 1: had declined far more than the research was able to recognize,

692
00:38:17,800 --> 00:38:20,600
Speaker 1: and that we needed to look at or the scientists

693
00:38:20,600 --> 00:38:24,600
Speaker 1: needed to look at anecdotal historical evidence to really understand

694
00:38:24,640 --> 00:38:27,840
Speaker 1: how much things have changed. By anecdotal historical evidence, he

695
00:38:27,880 --> 00:38:30,919
Speaker 1: was proposing that scientists need to put stock in things

696
00:38:30,920 --> 00:38:33,279
Speaker 1: that they had traditionally ignored. Right, we don't have the

697
00:38:33,880 --> 00:38:37,120
Speaker 1: scientific measured data going back that far and all these things,

698
00:38:37,120 --> 00:38:39,279
Speaker 1: so people people were looking at them, so we got

699
00:38:39,280 --> 00:38:41,839
Speaker 1: to use what we have. And in this case it's

700
00:38:41,840 --> 00:38:45,000
Speaker 1: like stories from old timers and and photographs and like

701
00:38:45,360 --> 00:38:48,359
Speaker 1: he even proposed using old menus and so one of

702
00:38:48,400 --> 00:38:53,759
Speaker 1: the seminal follow up papers on this theory is called

703
00:38:53,880 --> 00:38:57,280
Speaker 1: Documenting the Loss of Large Trophy Fish in the Florida

704
00:38:57,360 --> 00:39:03,960
Speaker 1: Keys through Historical Photographs. It's author, Lauren mcclenachan, proposed that quote,

705
00:39:04,040 --> 00:39:09,319
Speaker 1: historical photographs provide visual and quantitative evidence of changes in

706
00:39:09,480 --> 00:39:13,920
Speaker 1: mean individual fish size and species composition for groups of

707
00:39:13,960 --> 00:39:17,560
Speaker 1: marine fish that have been targeted by sport fishing. So

708
00:39:17,960 --> 00:39:22,680
Speaker 1: he looked at Key West bragboard charter photos from nineteen

709
00:39:22,719 --> 00:39:25,920
Speaker 1: fifty six to two thousand seven, and what he found

710
00:39:26,040 --> 00:39:29,960
Speaker 1: was pretty damn shocking. Mean fish size declined by over

711
00:39:30,080 --> 00:39:34,399
Speaker 1: eighty eight percent, and the charters went from catching lots

712
00:39:34,440 --> 00:39:38,600
Speaker 1: of large predators like big groupers and sharks two primarily

713
00:39:38,640 --> 00:39:42,480
Speaker 1: small snappers. So this is all like what you're talking about,

714
00:39:42,480 --> 00:39:45,760
Speaker 1: this new project that's being proposed. This has happened before.

715
00:39:46,040 --> 00:39:49,279
Speaker 1: They're just scaling it up and trying to leverage what

716
00:39:49,440 --> 00:39:52,480
Speaker 1: some other researchers have done through citizen science into a

717
00:39:52,480 --> 00:39:55,520
Speaker 1: bigger project, and I think that is damn cool. Like

718
00:39:55,640 --> 00:39:58,080
Speaker 1: this is this is not new research theory. They're just

719
00:39:58,120 --> 00:40:01,479
Speaker 1: growing it. Okay, So I'll just jump in out first.

720
00:40:01,480 --> 00:40:06,040
Speaker 1: I'll apologize because this should have been your story because

721
00:40:06,120 --> 00:40:08,879
Speaker 1: you said much more smarter things about it than I did.

722
00:40:09,480 --> 00:40:12,960
Speaker 1: You did far more research. You've informed the listener far

723
00:40:13,040 --> 00:40:15,080
Speaker 1: more than I ever could. And I'd like to go

724
00:40:15,120 --> 00:40:17,080
Speaker 1: on record right now and say, Phil, if this was

725
00:40:17,120 --> 00:40:18,960
Speaker 1: the Sway story for a winner, I'd like you to

726
00:40:19,000 --> 00:40:23,239
Speaker 1: please attribute this story to Miles Um because you just

727
00:40:23,280 --> 00:40:25,399
Speaker 1: said some really smart ship. That just made me feel

728
00:40:25,440 --> 00:40:29,200
Speaker 1: real dumb um. I have to live with that. But

729
00:40:29,560 --> 00:40:32,239
Speaker 1: there there was our first there was our first crossover.

730
00:40:32,600 --> 00:40:34,600
Speaker 1: I felt like a winner because it was my turn

731
00:40:35,000 --> 00:40:37,160
Speaker 1: and you have made me the loser. So good good

732
00:40:37,200 --> 00:40:40,759
Speaker 1: on you. Well I would, I would. I'll take that

733
00:40:40,800 --> 00:40:42,600
Speaker 1: and I appreciate that. And I just want to throw

734
00:40:42,640 --> 00:40:44,960
Speaker 1: one more thing in here at the end, because I

735
00:40:45,000 --> 00:40:47,080
Speaker 1: do think this is very cool, and like I said,

736
00:40:47,120 --> 00:40:49,759
Speaker 1: I'm a huge proponent of citizen science. If you guys

737
00:40:49,800 --> 00:40:52,520
Speaker 1: are interested in getting involved, you should go to size

738
00:40:52,520 --> 00:40:57,600
Speaker 1: starter dot org. That's sci starter dot org and enter

739
00:40:57,719 --> 00:41:01,680
Speaker 1: fish story into the keyword search. Uh and yeah. I

740
00:41:01,719 --> 00:41:03,399
Speaker 1: just think it's a great project, and I really hope

741
00:41:03,440 --> 00:41:05,880
Speaker 1: it's successful because I'd love to see it implemented elsewhere

742
00:41:05,920 --> 00:41:08,080
Speaker 1: and going to fisheries that I know something about, because

743
00:41:08,080 --> 00:41:10,359
Speaker 1: I would totally get involved. Now see, I didn't even

744
00:41:10,360 --> 00:41:11,880
Speaker 1: bother with the link because I was like, this is

745
00:41:11,920 --> 00:41:16,200
Speaker 1: this dumb shit. I feel awful right now, I've ruined

746
00:41:16,239 --> 00:41:19,440
Speaker 1: my afternoon. Damn it. What's your next story. Let's get

747
00:41:19,440 --> 00:41:22,000
Speaker 1: away from this, because that was my second story. It's

748
00:41:22,080 --> 00:41:25,320
Speaker 1: you're you're closing it out, dude. Oh so we've Oh

749
00:41:25,360 --> 00:41:28,560
Speaker 1: so it's a weird thing today. Oh man, so maybe

750
00:41:28,600 --> 00:41:30,640
Speaker 1: that story is now a wash and Phil just has

751
00:41:30,680 --> 00:41:33,440
Speaker 1: to go on your first story and my last story.

752
00:41:34,000 --> 00:41:37,600
Speaker 1: I disagree with that, which case, in which case, congratulations

753
00:41:37,800 --> 00:41:41,319
Speaker 1: because this ain't touching bass and snakes, though I do,

754
00:41:41,440 --> 00:41:43,759
Speaker 1: I do. I do find it interesting. I think this

755
00:41:43,800 --> 00:41:46,880
Speaker 1: is worth noting. Uh. Interesting little tidbit here from my

756
00:41:46,960 --> 00:41:49,680
Speaker 1: neck of the woods, and fitting since we just had

757
00:41:49,800 --> 00:41:54,400
Speaker 1: Rayliota on talking New York salmon. He's smiling about this

758
00:41:54,440 --> 00:41:58,440
Speaker 1: because it's it's directly helping his tackle business. Um, and

759
00:41:58,480 --> 00:42:01,920
Speaker 1: this actually comes directly from New York dot gov. Headline

760
00:42:01,920 --> 00:42:05,320
Speaker 1: on this one. Governor Cuomo announces program to extend fishing

761
00:42:05,320 --> 00:42:09,120
Speaker 1: season and improve renowned angling experience in Western New York

762
00:42:09,680 --> 00:42:12,600
Speaker 1: and here's what it says. Governor Andrew Cuomo announced the

763
00:42:12,600 --> 00:42:14,759
Speaker 1: start of a new pilot program as part of the

764
00:42:14,880 --> 00:42:18,760
Speaker 1: Reimagine the Canals initiative that uses water from the Erie

765
00:42:18,760 --> 00:42:22,839
Speaker 1: Canal to enhance already renowned fishing opportunities in Western New York.

766
00:42:23,280 --> 00:42:25,399
Speaker 1: This was originally announced as part of the Governor's State

767
00:42:25,400 --> 00:42:28,239
Speaker 1: of the State address in January twenty. The program will

768
00:42:28,320 --> 00:42:32,160
Speaker 1: encourage New Yorkers and visitors to experience the state's canal

769
00:42:32,239 --> 00:42:35,400
Speaker 1: system in a different way, while also expanding tourism and

770
00:42:35,440 --> 00:42:38,719
Speaker 1: bolstering small business in the region. So to back up

771
00:42:38,719 --> 00:42:40,879
Speaker 1: a little bit, I'm betting most of you, at least

772
00:42:40,920 --> 00:42:42,920
Speaker 1: a good chunk of you have heard of the Erie Canal,

773
00:42:43,320 --> 00:42:45,719
Speaker 1: at least, right there was a song about it. I

774
00:42:46,640 --> 00:42:54,400
Speaker 1: think there was a song about it. Somebody wrote it. Anyway. Anyway,

775
00:42:54,440 --> 00:42:56,800
Speaker 1: the Erie Canal runs from Albany to Buffalo. It was

776
00:42:56,840 --> 00:43:00,560
Speaker 1: completed in eight and for the non history folk back

777
00:43:00,560 --> 00:43:02,719
Speaker 1: in the day, right that was the super Highway of

778
00:43:02,719 --> 00:43:04,720
Speaker 1: the country or the East coast at least for getting

779
00:43:04,760 --> 00:43:07,719
Speaker 1: goods from the Atlantic Ocean to the Great Lakes. You'd

780
00:43:07,760 --> 00:43:10,279
Speaker 1: go from the Ocean up the Hudson River past New

781
00:43:10,360 --> 00:43:13,000
Speaker 1: York City to Albany, and then, as they say you

782
00:43:13,120 --> 00:43:15,040
Speaker 1: have to Albany, bang the left at the canal, You

783
00:43:15,120 --> 00:43:16,600
Speaker 1: bang the left of the canal, and you go all

784
00:43:16,640 --> 00:43:22,520
Speaker 1: the way to Buffalo. So extremely extremely historically significant, but honestly,

785
00:43:22,600 --> 00:43:25,480
Speaker 1: now it's just kind of sitting there doing nothing, right,

786
00:43:25,520 --> 00:43:28,319
Speaker 1: Like I read, a little bit of cargo still transported

787
00:43:28,320 --> 00:43:30,440
Speaker 1: on at time to time, but it's mostly just considered

788
00:43:30,960 --> 00:43:33,640
Speaker 1: a heritage historic thing. You know, take a boat ride,

789
00:43:33,640 --> 00:43:37,040
Speaker 1: get an ice cream and so on. But for years

790
00:43:37,040 --> 00:43:38,480
Speaker 1: New York has been trying to figure out how to

791
00:43:38,560 --> 00:43:41,040
Speaker 1: use the canal to attract more tourists, which I don't

792
00:43:41,040 --> 00:43:43,520
Speaker 1: think it has been super easy, Like it's not that

793
00:43:43,680 --> 00:43:45,920
Speaker 1: riveting of a thing. It's just, you know, it's just

794
00:43:45,960 --> 00:43:49,200
Speaker 1: a straight line of of of kind of stagnant water um.

795
00:43:49,239 --> 00:43:51,600
Speaker 1: But then meanwhile you've got all these tributaries of Lake

796
00:43:51,640 --> 00:43:54,640
Speaker 1: Ontario that see runs of steelhead and salmon and browns,

797
00:43:54,680 --> 00:43:57,279
Speaker 1: which boost the economy because so many anglers come to

798
00:43:57,360 --> 00:43:59,440
Speaker 1: chase them. So here's what Cuomo says. This fall in

799
00:43:59,440 --> 00:44:01,320
Speaker 1: New York is an hancing some of our world class

800
00:44:01,320 --> 00:44:05,799
Speaker 1: fisheries and expanding opportunities for anglers into December by creatively

801
00:44:05,880 --> 00:44:09,200
Speaker 1: using water from the Erie Canal to bolster fishing conditions

802
00:44:09,200 --> 00:44:11,560
Speaker 1: and extend the season. And he says, as a fisherman,

803
00:44:11,960 --> 00:44:13,799
Speaker 1: which I gotta tell you, I don't live in New York,

804
00:44:13,800 --> 00:44:15,759
Speaker 1: but I've been watching a lot of Cuomo over the

805
00:44:15,840 --> 00:44:18,720
Speaker 1: land a few months. Yeah, like you can't get away

806
00:44:18,800 --> 00:44:22,359
Speaker 1: from from Cuomo out here on the television. Don't see him?

807
00:44:23,120 --> 00:44:27,040
Speaker 1: Yeah you can't you. Yeah, you're Cuomo in Montana. I don't.

808
00:44:27,160 --> 00:44:29,000
Speaker 1: I'd love to know what kind of fisherman he is.

809
00:44:29,160 --> 00:44:32,480
Speaker 1: I don't see him fishing. Um but he says, I'm

810
00:44:32,520 --> 00:44:35,440
Speaker 1: pleased to see our incredible Lake Ontario tributaries will be

811
00:44:35,480 --> 00:44:38,680
Speaker 1: host to even better experience for our anglers. This innovative

812
00:44:38,800 --> 00:44:42,200
Speaker 1: use of iconic infrastructure continues our strong tradition of eco

813
00:44:42,239 --> 00:44:45,960
Speaker 1: tourism while supporting our small businesses and um and it

814
00:44:45,960 --> 00:44:48,600
Speaker 1: goes on here. The New York State Canal Corporation says,

815
00:44:48,719 --> 00:44:51,680
Speaker 1: by increasing the levels and flows in streams that will

816
00:44:51,719 --> 00:44:55,520
Speaker 1: encourage fish to travel further upstream, which expands areas for

817
00:44:55,560 --> 00:44:59,280
Speaker 1: ideal fishing conditions. In addition, the Canal Corporation will extend

818
00:44:59,320 --> 00:45:02,120
Speaker 1: the annual draining of the canal in western New York

819
00:45:02,160 --> 00:45:05,399
Speaker 1: to create a longer season for anglers. So I think

820
00:45:05,400 --> 00:45:08,359
Speaker 1: this is cool and smart, right, because while there are

821
00:45:08,400 --> 00:45:10,799
Speaker 1: a few tail waters in the mix out here, most

822
00:45:10,840 --> 00:45:14,440
Speaker 1: of these trips are raining groundwater reliant, right, So this

823
00:45:14,560 --> 00:45:17,360
Speaker 1: really could extend the amount of time that they're holding fish.

824
00:45:17,360 --> 00:45:20,640
Speaker 1: And dare I say, maybe spread people out a bit,

825
00:45:21,040 --> 00:45:23,640
Speaker 1: maybe just a little bit. It's probably asking a lot,

826
00:45:23,719 --> 00:45:26,080
Speaker 1: and I don't know, it could be wishful thinking, but

827
00:45:26,120 --> 00:45:28,399
Speaker 1: it's a smart economic move. And the story actually says

828
00:45:28,440 --> 00:45:30,360
Speaker 1: that canal has provided a bit of a lifeline in

829
00:45:30,400 --> 00:45:34,560
Speaker 1: the COVID economy because it's essentially stimulating the outdoor economy

830
00:45:34,560 --> 00:45:36,680
Speaker 1: for a few extra months. A lot of these rivers,

831
00:45:36,719 --> 00:45:38,600
Speaker 1: you know, by the end of the fall and in

832
00:45:38,640 --> 00:45:41,040
Speaker 1: November there's there's just not enough water in them anymore

833
00:45:41,080 --> 00:45:43,640
Speaker 1: for the fish to run or it's over. So they're

834
00:45:43,680 --> 00:45:46,560
Speaker 1: they're they're giving businesses tied to fishing, be at motels

835
00:45:46,640 --> 00:45:49,400
Speaker 1: or restaurants, tackle shops, a few extra months. And I

836
00:45:49,440 --> 00:45:52,080
Speaker 1: just found it refreshing because you hear so many stories

837
00:45:52,120 --> 00:45:56,799
Speaker 1: about resources being fought for and and withheld that I

838
00:45:56,840 --> 00:45:58,759
Speaker 1: just feel like it's nice to hear one where it's like,

839
00:45:58,800 --> 00:46:01,200
Speaker 1: you guys need this water, that's all have harmony here

840
00:46:01,480 --> 00:46:04,680
Speaker 1: here you go. Yeah, no, that's a great story. My

841
00:46:04,800 --> 00:46:06,799
Speaker 1: question on the follow up, I've got a couple, But

842
00:46:07,040 --> 00:46:10,080
Speaker 1: the first one is having more water. Do you think

843
00:46:10,160 --> 00:46:12,879
Speaker 1: there's a chance that that will boost recruitment? Like those

844
00:46:12,880 --> 00:46:15,040
Speaker 1: fish are running up there to spawn, right, and and

845
00:46:15,080 --> 00:46:17,960
Speaker 1: if those those trips end up getting dewatered post spawn,

846
00:46:17,960 --> 00:46:20,600
Speaker 1: I would imagine that some of those those reds go

847
00:46:20,719 --> 00:46:24,480
Speaker 1: dry or the auction levels go down. Is it possible

848
00:46:24,520 --> 00:46:28,239
Speaker 1: that this would even increase the recruitment of all those

849
00:46:28,280 --> 00:46:31,080
Speaker 1: age classes and and help the population more broadly, not

850
00:46:31,160 --> 00:46:33,680
Speaker 1: just extend the season. It certainly could, but then you

851
00:46:33,680 --> 00:46:35,439
Speaker 1: have to keep up with it, right, And and here's

852
00:46:35,440 --> 00:46:38,080
Speaker 1: the reality of these streams. They're there's certain ones that

853
00:46:38,120 --> 00:46:40,520
Speaker 1: were sort of pre programmed to have these runs, the

854
00:46:40,560 --> 00:46:43,480
Speaker 1: big streams where this was a state program. But you

855
00:46:43,520 --> 00:46:47,680
Speaker 1: have all these other streams that come into Ontario and

856
00:46:47,880 --> 00:46:49,880
Speaker 1: just sort of by default, you know, a couple of

857
00:46:49,880 --> 00:46:53,120
Speaker 1: steelhead go wayward a couple of sad and they established

858
00:46:53,120 --> 00:46:58,080
Speaker 1: these trips that were not necessarily originally stocked to create

859
00:46:58,120 --> 00:47:00,920
Speaker 1: a run. So then you have, you know, a lot

860
00:47:00,960 --> 00:47:02,960
Speaker 1: of these these fisheries that are in flux. It's like

861
00:47:03,040 --> 00:47:06,399
Speaker 1: one year, I'm making up the Sandy Creek whatever. It's like, dude,

862
00:47:06,400 --> 00:47:08,320
Speaker 1: it was banging last year and it might not happen

863
00:47:08,360 --> 00:47:13,000
Speaker 1: again for three years, all based on conditions. So if

864
00:47:13,040 --> 00:47:15,720
Speaker 1: this works and really does what they think and shows

865
00:47:15,760 --> 00:47:18,920
Speaker 1: a little boost and gets angler numbers up and stimulates

866
00:47:18,960 --> 00:47:21,600
Speaker 1: the economy, whatever, if this is something they're willing to

867
00:47:21,680 --> 00:47:25,399
Speaker 1: do year over year to extend that flow based on

868
00:47:25,600 --> 00:47:28,560
Speaker 1: the erie canalysis sitting there, hell yeah, it could create

869
00:47:30,160 --> 00:47:32,600
Speaker 1: much better fishery long term in a lot of these

870
00:47:32,600 --> 00:47:35,560
Speaker 1: trips that are just sort of hit or miss. That's

871
00:47:35,880 --> 00:47:37,880
Speaker 1: that that is that is a really good, feel good story.

872
00:47:37,960 --> 00:47:41,960
Speaker 1: And and particularly taking something that has been used for

873
00:47:42,320 --> 00:47:44,920
Speaker 1: commerce and other industry that's no longer being needed and

874
00:47:44,920 --> 00:47:48,480
Speaker 1: transition that over to helping fisheries. I love that. I

875
00:47:48,600 --> 00:47:51,160
Speaker 1: love that story. It's a simple piece, but it's it's

876
00:47:51,160 --> 00:47:53,399
Speaker 1: a good one. It's a feel it's a feel good piece.

877
00:47:53,480 --> 00:47:56,200
Speaker 1: So now all the people fishing for the fake steel

878
00:47:56,200 --> 00:47:58,520
Speaker 1: head that that's that's a win for them. You know

879
00:47:58,520 --> 00:48:00,520
Speaker 1: what I'm saying. And this is and you what, Joe

880
00:48:00,760 --> 00:48:02,959
Speaker 1: from U I think I sent you a link about

881
00:48:03,000 --> 00:48:07,160
Speaker 1: this recently. There are some really really terrible and awkward

882
00:48:07,880 --> 00:48:10,680
Speaker 1: gripping green photos to come out of those fisheries every year.

883
00:48:12,440 --> 00:48:15,040
Speaker 1: A lot of the a lot of the art of

884
00:48:15,080 --> 00:48:18,239
Speaker 1: those photos is positioning yourself in a way to make

885
00:48:18,239 --> 00:48:20,040
Speaker 1: it appear as if you are the only one there.

886
00:48:20,400 --> 00:48:22,279
Speaker 1: So every time I see gripping green's out of the

887
00:48:22,320 --> 00:48:25,359
Speaker 1: Ontario and Erie trips and it's like, just dude, like

888
00:48:25,440 --> 00:48:28,360
Speaker 1: majestically by himself, I'm like, how did you have to

889
00:48:28,400 --> 00:48:30,440
Speaker 1: move around and get the twenty five other people out

890
00:48:30,440 --> 00:48:33,799
Speaker 1: of the photo? Yeah, we hear at at at bent.

891
00:48:34,040 --> 00:48:37,040
Speaker 1: We are big fans of the awkward fishing photo as

892
00:48:37,080 --> 00:48:41,640
Speaker 1: a genre. Yeah. I just took one beating in news

893
00:48:41,640 --> 00:48:43,640
Speaker 1: and now I'm going to take another one ahead tell

894
00:48:43,680 --> 00:48:47,000
Speaker 1: them what we're doing after Phil, I just want all

895
00:48:47,040 --> 00:48:49,400
Speaker 1: of you to enjoy the next few minutes as we

896
00:48:49,600 --> 00:48:54,879
Speaker 1: lavish praise and derision upon young Joe in our new

897
00:48:54,960 --> 00:49:02,160
Speaker 1: segment Awkward Moments in Angling. What's the deal, guys, isn't

898
00:49:02,200 --> 00:49:06,440
Speaker 1: this the Halloween special. I wanted some more spook in

899
00:49:06,520 --> 00:49:11,280
Speaker 1: your stories, like some sort of serial killer fish who

900
00:49:11,520 --> 00:49:16,640
Speaker 1: kills teenage fish for spawning at fish summer camp or something.

901
00:49:17,239 --> 00:49:20,759
Speaker 1: Miles is domination in your shared story. Aside, he's also

902
00:49:20,800 --> 00:49:23,680
Speaker 1: the only one who brought a semi freaky story with

903
00:49:23,719 --> 00:49:27,040
Speaker 1: the snake inside the fish, which is why I am

904
00:49:27,080 --> 00:49:36,560
Speaker 1: crowning Miles Nulte the Bent King of Halloween. Congrats, Miles.

905
00:49:36,560 --> 00:49:38,799
Speaker 1: I know how important Halloween is to you and how

906
00:49:38,840 --> 00:49:41,520
Speaker 1: much you love it. This must be a very special

907
00:49:41,560 --> 00:49:44,160
Speaker 1: moment in your life. Don't eat too much candy now.

908
00:49:46,520 --> 00:49:49,800
Speaker 1: We have a brand spanking new segment that we're rolling

909
00:49:49,800 --> 00:49:54,120
Speaker 1: out for you today. Fishing pictures can be hilariously bad,

910
00:49:54,239 --> 00:49:56,680
Speaker 1: and that makes sense. You know, there's there's always a

911
00:49:56,719 --> 00:50:00,840
Speaker 1: camera around here. Usually the photos are often sushed because

912
00:50:00,840 --> 00:50:04,000
Speaker 1: someone's holding a slippery ass fish that has no interest

913
00:50:04,040 --> 00:50:06,400
Speaker 1: in getting its picture taken, and the person in the

914
00:50:06,400 --> 00:50:09,560
Speaker 1: photo is often less concerned about how they look than

915
00:50:09,640 --> 00:50:13,680
Speaker 1: how the fish they're holding looks. All these factors conspire

916
00:50:13,760 --> 00:50:19,640
Speaker 1: to consistently create truly awkward imagery. We decided we wanted

917
00:50:19,680 --> 00:50:22,560
Speaker 1: to have some fun with this genre of bad photography.

918
00:50:22,640 --> 00:50:27,520
Speaker 1: In what we're calling awkward moments in angling Why did

919
00:50:27,520 --> 00:50:33,040
Speaker 1: you take a picture? And a lack all right? So,

920
00:50:33,360 --> 00:50:37,080
Speaker 1: and I'm laughing having not said anything because I I'm

921
00:50:37,120 --> 00:50:40,680
Speaker 1: about to be victim number one. But that's okay, you'll you'll,

922
00:50:40,920 --> 00:50:44,160
Speaker 1: it won't hurt too much, all right. So here's how

923
00:50:44,200 --> 00:50:47,440
Speaker 1: it works. We're going to take an awkward fishing photo

924
00:50:47,520 --> 00:50:50,799
Speaker 1: and describe it for you. We'll also probably make some

925
00:50:50,920 --> 00:50:52,880
Speaker 1: jokes at the expense of the subject of the photo,

926
00:50:53,239 --> 00:50:56,160
Speaker 1: maybe the photographer as well, who knows, and we reserve

927
00:50:56,239 --> 00:51:00,840
Speaker 1: the right to invent a completely fictitious backstory if so inclined.

928
00:51:01,400 --> 00:51:04,280
Speaker 1: If you want to see the actual photos were describing,

929
00:51:04,400 --> 00:51:07,960
Speaker 1: you can find them on our Instagram pages. That's at

930
00:51:08,080 --> 00:51:13,000
Speaker 1: Joe Surmeli and at water Miles. In order to be

931
00:51:13,080 --> 00:51:16,160
Speaker 1: fair about this, we're going to start with our own photos.

932
00:51:16,680 --> 00:51:19,080
Speaker 1: Joe and I will each take a stab at burning

933
00:51:19,080 --> 00:51:23,040
Speaker 1: photos from each other's past, but that's gonna get boring quick,

934
00:51:23,960 --> 00:51:26,799
Speaker 1: and we'd like to deepen our pool of options. So

935
00:51:27,120 --> 00:51:29,680
Speaker 1: if you have an awkward fishing photo that you'd like

936
00:51:29,760 --> 00:51:32,799
Speaker 1: to have mercilessly heckled on a podcast, please send it

937
00:51:32,840 --> 00:51:36,000
Speaker 1: to Bent at the mediator dot com. If we choose

938
00:51:36,000 --> 00:51:38,839
Speaker 1: your photo, you will get a sweet thank you gift

939
00:51:38,960 --> 00:51:42,120
Speaker 1: from us that will make both of your friends jealous.

940
00:51:44,560 --> 00:51:49,479
Speaker 1: All right, So for this first episode, Joe's mom, who

941
00:51:49,600 --> 00:51:52,120
Speaker 1: is a very nice and patient woman for the record,

942
00:51:52,440 --> 00:51:55,880
Speaker 1: sent a couple of photos of Joe from the early nineties.

943
00:51:56,400 --> 00:52:00,320
Speaker 1: And even though this segment has just started, I'm already

944
00:52:00,360 --> 00:52:02,440
Speaker 1: going to break the rules because instead of choosing just

945
00:52:02,520 --> 00:52:06,200
Speaker 1: one photo, I'm gonna describe them both. Come on, see

946
00:52:06,440 --> 00:52:08,879
Speaker 1: you said we we can't keep using ourselves because it'll

947
00:52:08,920 --> 00:52:11,640
Speaker 1: get boring. I actually could provide enough photos for like

948
00:52:11,719 --> 00:52:14,120
Speaker 1: months of this, but like, I'm giving you one shot.

949
00:52:14,360 --> 00:52:16,680
Speaker 1: So yeah, that's right, and I'm making the most of

950
00:52:16,680 --> 00:52:21,800
Speaker 1: it with with both photos. So are you ready? Yes? Okay?

951
00:52:22,160 --> 00:52:26,879
Speaker 1: So in this first photo, we see eight year old

952
00:52:27,000 --> 00:52:31,160
Speaker 1: Joe and and maybe some of you would first notice

953
00:52:31,200 --> 00:52:33,919
Speaker 1: the very small blue gill he's hoisting out in front

954
00:52:33,960 --> 00:52:37,200
Speaker 1: of him. It's still hooked to the line, dangling about

955
00:52:37,239 --> 00:52:40,239
Speaker 1: eighteen inches under a classic red and white bobber. But

956
00:52:40,320 --> 00:52:43,560
Speaker 1: not me. No. The first thing that jumps out to

957
00:52:43,600 --> 00:52:47,040
Speaker 1: me in this picture is apparel. So is it the

958
00:52:47,080 --> 00:52:52,279
Speaker 1: idyllic Mickey Mouse Club hat that's cocked jauntily on his head. No.

959
00:52:53,440 --> 00:52:56,120
Speaker 1: Is it the generic T shirt he's wearing that's either

960
00:52:56,239 --> 00:53:00,640
Speaker 1: printed with boilerplate fishing art or maybe vultron because the

961
00:53:00,719 --> 00:53:05,279
Speaker 1: lighting makes it difficult distinguished. No, not that either. The

962
00:53:05,360 --> 00:53:08,560
Speaker 1: clothing choice that really jumps off this photo for me

963
00:53:09,480 --> 00:53:14,400
Speaker 1: is the blue, nightmarish modern art vomitorium print on Little

964
00:53:14,520 --> 00:53:23,239
Speaker 1: Joe's Zoomba's pants Little Joe's Zubaz pants. Now, for those

965
00:53:23,280 --> 00:53:26,319
Speaker 1: of you who don't know zoo Baz because you either

966
00:53:26,440 --> 00:53:29,680
Speaker 1: missed or blocked out the early nineties, here's the best

967
00:53:29,760 --> 00:53:32,839
Speaker 1: description for them that I've ever heard, brought to you

968
00:53:32,880 --> 00:53:38,440
Speaker 1: by the Gothamist. Quote. Zoo Baz are basically a sweatpants

969
00:53:38,800 --> 00:53:42,920
Speaker 1: chef pants hammer pants hybrid, featuring an elastic waist and

970
00:53:42,960 --> 00:53:46,680
Speaker 1: an oversized leg that gradually tapers as it nears the ankle.

971
00:53:47,120 --> 00:53:50,759
Speaker 1: They were very popular amongst the Joey buttafuco set in

972
00:53:50,800 --> 00:53:56,239
Speaker 1: the early nineties. End quote. They still make pants. For

973
00:53:56,239 --> 00:54:00,799
Speaker 1: the record, Still, I might you wearing him now? You

974
00:54:00,840 --> 00:54:05,840
Speaker 1: don't know, I thankfully I can't tell. What's so great

975
00:54:05,840 --> 00:54:09,279
Speaker 1: about this whole outfit is the cognitive dissonance between the

976
00:54:09,320 --> 00:54:13,520
Speaker 1: mouse gutear hat and the Joey Buttafuco pants. I feel

977
00:54:13,520 --> 00:54:16,279
Speaker 1: like we're seeing a picture of little Joe in transition.

978
00:54:16,560 --> 00:54:19,120
Speaker 1: At the top of his head, he's wearing an almost

979
00:54:19,160 --> 00:54:22,520
Speaker 1: two on the nose, symbol of American youthful innocence, while

980
00:54:22,560 --> 00:54:27,080
Speaker 1: down south he's rocking pants better affiliated with sexually predaceous

981
00:54:27,120 --> 00:54:31,520
Speaker 1: Long Island guidos. And that leads us to the second

982
00:54:31,520 --> 00:54:34,920
Speaker 1: photo from a year later. This shot, which appears to

983
00:54:34,920 --> 00:54:38,240
Speaker 1: be taken on the same wooden dock overhanging the same

984
00:54:38,440 --> 00:54:42,719
Speaker 1: neighborhood lake, shows just how far young Joe has come.

985
00:54:43,480 --> 00:54:46,680
Speaker 1: Joe really seems to be embracing the New Jersey Italian

986
00:54:46,680 --> 00:54:50,680
Speaker 1: American stereotype. His sleeveless, baggy T shirt glows a color

987
00:54:50,760 --> 00:54:54,920
Speaker 1: that can only be described as electric salmon. He's also

988
00:54:55,200 --> 00:54:59,319
Speaker 1: clearly growing into his identity as a serious angler. That

989
00:54:59,400 --> 00:55:03,880
Speaker 1: Mickey Mouse hat gone. Now Joe is rocking a white

990
00:55:03,920 --> 00:55:07,160
Speaker 1: foam trucker hat with the words shark stenciled in black

991
00:55:07,200 --> 00:55:09,959
Speaker 1: above the drawing of a great white. His new hat

992
00:55:10,239 --> 00:55:13,160
Speaker 1: comes with a couple of other upgrades. It's got the

993
00:55:13,239 --> 00:55:17,120
Speaker 1: ubiquitous gold fish hook bill clip glinting in the sunlight,

994
00:55:17,760 --> 00:55:21,319
Speaker 1: and a silver tarpin pin hovering just above the r

995
00:55:21,640 --> 00:55:26,520
Speaker 1: in shark. Finally, although Joe is holding an identically sized

996
00:55:26,560 --> 00:55:29,239
Speaker 1: micro blue deal in each picture, we can see how

997
00:55:29,280 --> 00:55:33,279
Speaker 1: far he's progressed by his spatial expressions. While in the

998
00:55:33,280 --> 00:55:36,239
Speaker 1: first photo his face is clearly splitting with pride and

999
00:55:36,239 --> 00:55:39,520
Speaker 1: elation at the fish he just caught, his countenance in

1000
00:55:39,560 --> 00:55:42,480
Speaker 1: the second photo makes it clear that he now knows

1001
00:55:43,040 --> 00:55:48,040
Speaker 1: this fish's size isn't worthy of photographic enshrinement. He's probably

1002
00:55:48,120 --> 00:55:51,320
Speaker 1: just posing with it to play kate his mom. And Finally,

1003
00:55:51,760 --> 00:55:53,840
Speaker 1: in the background of the second photo, we have perhaps

1004
00:55:53,920 --> 00:55:57,879
Speaker 1: my favorite detail, a city pigeon creeping up the dock

1005
00:55:57,920 --> 00:56:01,759
Speaker 1: from behind, eyeing the fish like an oversized pretzel and

1006
00:56:01,840 --> 00:56:04,480
Speaker 1: scheming on how he's gonna steal that blue gill out

1007
00:56:04,480 --> 00:56:08,200
Speaker 1: of this little kid's hand. Okay, you've done? Is that? It?

1008
00:56:08,440 --> 00:56:12,040
Speaker 1: That end of rant? Because now I have to tee up,

1009
00:56:12,320 --> 00:56:15,320
Speaker 1: because I just have a few things of clasp points

1010
00:56:15,320 --> 00:56:21,040
Speaker 1: of clarification. The Mickey Mouse. The listeners are going to

1011
00:56:21,120 --> 00:56:25,480
Speaker 1: get to defend themselves. Go ahead, no, no, no, no,

1012
00:56:25,560 --> 00:56:27,480
Speaker 1: but this is a special case because it's me. The

1013
00:56:27,520 --> 00:56:32,480
Speaker 1: Mickey Mouse hat was authentic purchased at Disney. Okay, um

1014
00:56:32,560 --> 00:56:35,279
Speaker 1: it looks like. Yeah, and the shark hat with the

1015
00:56:35,280 --> 00:56:37,920
Speaker 1: tarpen pin Tarpin, I remember was the fish I aspired

1016
00:56:37,960 --> 00:56:40,200
Speaker 1: to catch. I was enamored with tarpin, even though I

1017
00:56:40,239 --> 00:56:43,000
Speaker 1: didn't know where they were or where they lived at

1018
00:56:43,040 --> 00:56:45,279
Speaker 1: the time. But the thing you missed, which is an

1019
00:56:45,280 --> 00:56:47,839
Speaker 1: easy one to miss in the the the year later

1020
00:56:47,920 --> 00:56:51,040
Speaker 1: photo they cut off t shirt salmon colored photo. So

1021
00:56:51,040 --> 00:56:54,759
Speaker 1: I'm also wearing a freestyle watch, remember freestyle watches. I

1022
00:56:54,800 --> 00:56:57,120
Speaker 1: did see that, actually, and I decided that I was.

1023
00:56:57,360 --> 00:56:59,440
Speaker 1: I was already going too long winded, and I decided

1024
00:56:59,480 --> 00:57:00,799
Speaker 1: I'd let the let you go. But yeah, was it

1025
00:57:00,840 --> 00:57:04,080
Speaker 1: a swatch? No, no, no, Freestyle was the brand, and

1026
00:57:04,080 --> 00:57:06,120
Speaker 1: I liked it because the Freestyle logo was a little

1027
00:57:06,120 --> 00:57:09,440
Speaker 1: shark finn. Do you remember this, oh, I told, yeah,

1028
00:57:09,440 --> 00:57:13,080
Speaker 1: I absolutely remember that. Yep, Yep, I do. Anyway, I'm

1029
00:57:13,120 --> 00:57:15,080
Speaker 1: gonna play by the rules and I will put both

1030
00:57:15,080 --> 00:57:17,680
Speaker 1: of these photos on my Instagram, and all I will

1031
00:57:17,680 --> 00:57:20,680
Speaker 1: say is that your mom has already sent along photos

1032
00:57:20,680 --> 00:57:24,960
Speaker 1: of you a lot more choices then my mom sent you.

1033
00:57:25,480 --> 00:57:27,840
Speaker 1: So uh, the next time you guys hear this segment,

1034
00:57:28,240 --> 00:57:31,120
Speaker 1: the tables will have turned. But we don't want this

1035
00:57:31,200 --> 00:57:33,240
Speaker 1: to be all about us, even though you might want

1036
00:57:33,280 --> 00:57:35,960
Speaker 1: it to be all about us. So, as Miles suggested,

1037
00:57:36,520 --> 00:57:40,000
Speaker 1: find those awkward fishing photos and send them to us

1038
00:57:40,000 --> 00:57:42,040
Speaker 1: at bent at the meat eator dot com. By the way,

1039
00:57:42,080 --> 00:57:43,920
Speaker 1: you can nominate a friend like if you're thinking like,

1040
00:57:43,960 --> 00:57:45,520
Speaker 1: oh my god, I got this picture. I got this

1041
00:57:45,560 --> 00:57:48,160
Speaker 1: picture Robbie on my phone, I'm sending right now. Send it.

1042
00:57:48,200 --> 00:57:51,360
Speaker 1: We'll rip them apart and um, you know say that's

1043
00:57:51,400 --> 00:57:57,360
Speaker 1: thanks to you, then posted on social media. You know, man,

1044
00:57:57,440 --> 00:58:00,160
Speaker 1: of course Miles has to fully shame me when is

1045
00:58:00,200 --> 00:58:03,880
Speaker 1: barely any time left in the show to defend myself.

1046
00:58:04,280 --> 00:58:06,440
Speaker 1: And then, rather than eat up more time defending myself,

1047
00:58:06,480 --> 00:58:09,240
Speaker 1: I'm just gonna give him the floor again. So you

1048
00:58:09,280 --> 00:58:12,040
Speaker 1: can get a deeper understanding of his dislike of Halloween

1049
00:58:12,160 --> 00:58:14,600
Speaker 1: via our end of the line segment in which we

1050
00:58:14,680 --> 00:58:16,720
Speaker 1: tell you what you should be tying on the ends

1051
00:58:16,760 --> 00:58:20,440
Speaker 1: of your lines this weekend. He's got something appropriately black

1052
00:58:20,480 --> 00:58:23,280
Speaker 1: and orange that stings worse than a small sewing needle

1053
00:58:23,360 --> 00:58:34,560
Speaker 1: shoved inside a butterfinger. Well, it's not loud enough to

1054
00:58:34,720 --> 00:58:37,439
Speaker 1: cap off our Halloween episode. We are taking a hard

1055
00:58:37,480 --> 00:58:41,080
Speaker 1: look at a classic Western fly, and before us say

1056
00:58:41,120 --> 00:58:43,960
Speaker 1: the name. I feel like I need to recognize the

1057
00:58:45,120 --> 00:58:49,720
Speaker 1: uncouth nomenclature. It's called a bitch creek. I'm not entirely

1058
00:58:49,720 --> 00:58:51,960
Speaker 1: sure how it got that name or when. Other than

1059
00:58:51,960 --> 00:58:56,000
Speaker 1: it originating somewhere in Montana eighty ish years ago, no

1060
00:58:56,040 --> 00:58:59,440
Speaker 1: one seems to know much about its origins. In George F.

1061
00:58:59,560 --> 00:59:03,080
Speaker 1: Grant's classic book Montana Trout Flies, he admits that even

1062
00:59:03,160 --> 00:59:07,240
Speaker 1: he couldn't figure out the exact provenance of this particular bug.

1063
00:59:08,200 --> 00:59:11,480
Speaker 1: The general consensus among the people who talk about this

1064
00:59:11,600 --> 00:59:14,520
Speaker 1: kind of obscure nonsense is that the fly maybe named

1065
00:59:14,800 --> 00:59:17,720
Speaker 1: for Idaho's Bitch Creek, which is a tributary of the

1066
00:59:17,720 --> 00:59:21,040
Speaker 1: Teton River. That name is said to be a corruption

1067
00:59:21,120 --> 00:59:24,560
Speaker 1: of the French word beache, which means dough, as in

1068
00:59:24,640 --> 00:59:29,800
Speaker 1: female deer. French fur trappers originally named that water as

1069
00:59:29,880 --> 00:59:32,520
Speaker 1: the Beach, and it seems like some of the ingrades

1070
00:59:32,560 --> 00:59:35,520
Speaker 1: who came after butchered the name into the unfortunate version

1071
00:59:35,800 --> 00:59:39,200
Speaker 1: that we have today. To me, the bitch Creek looks

1072
00:59:39,240 --> 00:59:42,760
Speaker 1: like Halloween on a hook. It's orange, black, furry, and wiggly,

1073
00:59:43,120 --> 00:59:46,520
Speaker 1: kind of like a demonic maggot, and also like Halloween.

1074
00:59:46,760 --> 00:59:49,840
Speaker 1: The Bitch Creek is overdressed, overhyped, and leaves me feeling

1075
00:59:49,920 --> 00:59:52,440
Speaker 1: cheated and a little regretful every time I really get

1076
00:59:52,440 --> 00:59:55,280
Speaker 1: into it. The Bitch Creek is very similar to a

1077
00:59:55,320 --> 00:59:58,400
Speaker 1: fly I covered in a past episode, The Girdle Bug,

1078
00:59:58,480 --> 01:00:00,760
Speaker 1: Except the girdle Bug and it's my turn offshoot. The

1079
01:00:00,800 --> 01:00:05,880
Speaker 1: rubber legs embody a near perfect marriage of simplicity and effectiveness,

1080
01:00:06,280 --> 01:00:08,720
Speaker 1: while the Bitch Creek is a prototype for the worst

1081
01:00:08,760 --> 01:00:11,960
Speaker 1: parts of modern fly design, taking something that's easy to

1082
01:00:11,960 --> 01:00:14,280
Speaker 1: tie and catch fish and making it harder to tie

1083
01:00:14,560 --> 01:00:20,120
Speaker 1: and less effective. Many quote unquote new flies just borrow

1084
01:00:20,200 --> 01:00:23,120
Speaker 1: from perfectly good existing patterns, swap out a couple of materials,

1085
01:00:23,160 --> 01:00:26,439
Speaker 1: and add seven steps. The end result is a fly

1086
01:00:26,560 --> 01:00:29,520
Speaker 1: that takes ten extra minutes to produce, but is equally

1087
01:00:29,640 --> 01:00:33,640
Speaker 1: or perhaps less productive than the original. But hey, it

1088
01:00:33,680 --> 01:00:36,800
Speaker 1: looks cool once again. It feels a lot like Halloween.

1089
01:00:37,480 --> 01:00:40,240
Speaker 1: Instead of the girdl Bugs classic black, the Bitch Creek

1090
01:00:40,360 --> 01:00:43,960
Speaker 1: uses a combination of orange and black chanel. In order

1091
01:00:44,000 --> 01:00:46,120
Speaker 1: to make that work, you need to add in a

1092
01:00:46,160 --> 01:00:48,760
Speaker 1: wire rib to hold the two shaneels in place, or

1093
01:00:48,960 --> 01:00:52,440
Speaker 1: get even more complicated and weave them together just for

1094
01:00:52,480 --> 01:00:55,200
Speaker 1: some extra fun with a finicky material. It's got saddle

1095
01:00:55,200 --> 01:00:57,840
Speaker 1: hackle wrapped around the thorax because the four rubber legs

1096
01:00:57,920 --> 01:01:02,160
Speaker 1: just weren't enough legs. I guess, all right, so this

1097
01:01:02,200 --> 01:01:05,320
Speaker 1: is a little hyperbolic. The bitch creek isn't a particularly

1098
01:01:05,360 --> 01:01:08,240
Speaker 1: complicated fly to tie as far as flies go. We're

1099
01:01:08,240 --> 01:01:11,560
Speaker 1: not talking about a feather game changer. But as you

1100
01:01:11,600 --> 01:01:14,120
Speaker 1: can probably tell, I'm a little salty toward bitch creeks,

1101
01:01:14,280 --> 01:01:18,720
Speaker 1: and in fact I'm not finished. Bitch Creeks supposedly represents

1102
01:01:18,720 --> 01:01:22,200
Speaker 1: sound fly nymps, but if that's the case, they're coloring

1103
01:01:22,280 --> 01:01:28,000
Speaker 1: makes no sense. Adult salmon flies are indeed black and orange,

1104
01:01:28,040 --> 01:01:31,600
Speaker 1: but the nymphs, the sub adults that live underwater, have

1105
01:01:31,920 --> 01:01:35,640
Speaker 1: no orange on them at all. The bitch creek is

1106
01:01:35,680 --> 01:01:39,400
Speaker 1: a subsurface fly, so adding that orange just makes them

1107
01:01:39,400 --> 01:01:42,640
Speaker 1: look less like the prey they're supposed to be imitating.

1108
01:01:42,960 --> 01:01:45,120
Speaker 1: But the ultimate reason I dislike this flies because I

1109
01:01:45,120 --> 01:01:47,320
Speaker 1: don't think I've ever caught a trout on a bitch creek.

1110
01:01:47,480 --> 01:01:49,560
Speaker 1: They're one of those bugs that you supposedly have to

1111
01:01:49,600 --> 01:01:52,560
Speaker 1: have in your box because you know it's a classic,

1112
01:01:52,840 --> 01:01:56,200
Speaker 1: But really there are far simpler and more effective options,

1113
01:01:56,400 --> 01:01:59,640
Speaker 1: And in that sense, they really are like Halloween, the

1114
01:02:00,000 --> 01:02:03,320
Speaker 1: addressed holiday where adults spend hours of time and hundreds

1115
01:02:03,360 --> 01:02:05,880
Speaker 1: of dollars putting together costumes in the hope that other

1116
01:02:05,960 --> 01:02:11,040
Speaker 1: adults will finally, for one night pay attention to them.

1117
01:02:11,080 --> 01:02:14,640
Speaker 1: Before I go, though, one thing, I have discovered a

1118
01:02:14,680 --> 01:02:17,040
Speaker 1: saving grace for bitch creeks. Though they may not be

1119
01:02:17,200 --> 01:02:20,520
Speaker 1: very useful in their intended environment or on their intended quarry,

1120
01:02:20,720 --> 01:02:23,800
Speaker 1: they are dynamite for pan fish and small bass in

1121
01:02:23,920 --> 01:02:26,720
Speaker 1: lakes and ponds. Those little bastards can't get enough of them.

1122
01:02:26,720 --> 01:02:29,560
Speaker 1: So while I don't recommend you going out and tying

1123
01:02:29,680 --> 01:02:32,120
Speaker 1: or buying a box of bitch creeks, if you already

1124
01:02:32,160 --> 01:02:34,960
Speaker 1: have some, don't toss them out, just move them from

1125
01:02:35,000 --> 01:02:43,320
Speaker 1: the western trout box to the warm water box. So

1126
01:02:43,400 --> 01:02:45,840
Speaker 1: that's it for this week. We hope you enjoyed our

1127
01:02:45,960 --> 01:02:49,320
Speaker 1: nod to my least favorite holiday. Learn that you can

1128
01:02:49,320 --> 01:02:51,360
Speaker 1: get a good deal on waiters if you pee in

1129
01:02:51,400 --> 01:02:54,320
Speaker 1: them first, and got motivated to watch the Blair Witch

1130
01:02:54,320 --> 01:02:58,400
Speaker 1: Project during your next Netflix and chill. Yeah, and as always,

1131
01:02:58,480 --> 01:03:02,480
Speaker 1: keep those questions, comments, stories, bars, awkward photos, now sale

1132
01:03:02,480 --> 01:03:05,880
Speaker 1: items and concerns coming to bent at the meat eater

1133
01:03:06,040 --> 01:03:08,920
Speaker 1: dot com. We love hearing from you. As Freddy Krueger

1134
01:03:08,960 --> 01:03:11,720
Speaker 1: would say, you are all our children now a matter

1135
01:03:11,720 --> 01:03:19,080
Speaker 1: of fact, here he is saying it to Bill Dances

1136
01:03:19,120 --> 01:03:28,360
Speaker 1: come down, I mean the sharp say, oh boy, this

1137
01:03:28,440 --> 01:03:31,080
Speaker 1: is almost making me like Halloween. Stay safe out there

1138
01:03:31,120 --> 01:03:34,880
Speaker 1: tomorrow night. Drink black rifle coffee to perk up before

1139
01:03:34,880 --> 01:03:37,160
Speaker 1: heading out with the kids, and remember to soak their

1140
01:03:37,200 --> 01:03:40,400
Speaker 1: candy and bleach for at least twenty four hours to

1141
01:03:40,480 --> 01:03:43,720
Speaker 1: remove all the COVID. Also, it's mischief night, but there's

1142
01:03:43,760 --> 01:03:46,680
Speaker 1: still a toilet paper shortage, so be responsible kids and

1143
01:03:46,800 --> 01:03:48,840
Speaker 1: jes smash the mailbox and stead