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Speaker 1: This is the Meat Eater Podcast coming at you shirtless,

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Speaker 1: severely bug bitten, and in my case, underwear.

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Speaker 2: Listening to podcast, you can't predict anything.

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Speaker 1: The Meat Eater Podcast is brought to you by First Light.

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Speaker 1: Whether you're checking trail cams, hanging deer stands, or scouting

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Speaker 1: for el, First Light has performance apparel to support every

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Speaker 1: hunter in every environment. Check it out at first light

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Speaker 1: dot com. F I R S T L I T

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Speaker 1: E dot com. All right, Phil, you ready, we're rolling?

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Speaker 1: We started.

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Speaker 3: Thank you. I appreciate that.

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Speaker 1: We're just having a little chit chat. Prior in the subject,

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Speaker 1: did you bring it up? Seth? Yeah, Seth brought up

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Speaker 1: how we have the shirt that that that fisher was

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Speaker 1: wearing on the on when he found the weights in

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Speaker 1: the walleye. And then I was need to point out

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Speaker 1: to our guests here, who are fishermen that we actually

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Speaker 1: hold in our possession the knife that was used to

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Speaker 1: disembowel the walle eyes. It's a it's a piece of

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Speaker 1: history to find the weights. And he and then it

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Speaker 1: was an interesting little detail is he was a little

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Speaker 1: bit embarrassed about his knife work in the video. He's

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Speaker 1: he's cutting open the walllle Eyes, and he was a polo.

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Speaker 1: He was embarrassed about that it looked like his knife

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Speaker 1: work was inexpert knife work. And he pointed out that

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Speaker 1: his leather man, the leather man someone handed him, had

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Speaker 1: a broken tip, and that's why he wasn't able to

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Speaker 1: more expertly extricate the lesson.

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Speaker 4: When I was watching that video, the last thing I

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Speaker 4: was worrying about was his knife work, I thought.

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Speaker 1: So this morning I was reading at Harvard University. They've

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Speaker 1: been in the news a bunch for getting their balls

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Speaker 1: busted about anti semitism on campus. But uh uh, they

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Speaker 1: bought a different news story about Harvard. They bought a

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Speaker 1: man a copy of the Magna Carta. Did you see

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Speaker 1: this for twenty seven dollars and fifty cents long, long,

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Speaker 1: long ago, And these scholars just realized it's the original copy.

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Speaker 1: Oh God, someday they're gonna be arguing about this knife.

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Speaker 1: And I wonder if there's maybe hopefully like Walleye DNA, you.

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Speaker 5: Mean, arguing about the provenance.

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Speaker 1: They'll be like Dad, can't be the actual night despite.

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Speaker 4: The label on this side, is that there's like a

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Speaker 4: little russ is that rusters like some dried drugs, dry blood.

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Speaker 1: I just hol't. No one washed it. So when there

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Speaker 1: is like a big thing and like a big scandal

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Speaker 1: and like it sells on sotherbs for millions of dollars

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Speaker 1: and shit, you know.

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Speaker 5: It's like owning the gun that shot Lincoln or something

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Speaker 5: like that.

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Speaker 1: Exactly. Yeah, well I traded that for this. Yeah. Yeah,

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Speaker 1: it's the actual knife. It's impressive here in our private

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Speaker 1: collection that might be our only No, I don't think

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Speaker 1: we have a lot of artifacts like the culturally significant

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Speaker 1: artifacts like that.

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Speaker 3: Start collecting more.

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Speaker 6: Uh.

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Speaker 1: Today we're joined by two enthusiastic anglers who happened to

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Speaker 1: be not friends with each other. I hope you come

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Speaker 1: out of this friends. We built a good friends with

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Speaker 1: Chester who's not here, Jeremy Smith and Danny Thompson. And

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Speaker 1: what we're here to talk about was we're here to

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Speaker 1: have a friendly discussion, a friendly discussion about what's the

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Speaker 1: slang term for it, live scope.

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Speaker 4: Forward facing sevenar Yeah, well no, live scope, live scope,

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Speaker 4: live scope.

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Speaker 1: There day I was sitting at I was stuck at

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Speaker 1: a boat launch for hours because the wheel fell off.

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Speaker 1: My trailer made a lot of friends, especially when it

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Speaker 1: was it fell off the trailer blocking the boat launch,

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Speaker 1: you know, Ashole, Yeah, it was funny. There's two kinds

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Speaker 1: of people in this world. There's people that will do

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Speaker 1: anything to try to back a trailer around you in

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Speaker 1: a moment of distress, and there's people who will come

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Speaker 1: up to help.

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Speaker 3: Yeah.

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Speaker 1: Right, you know, there's a funny joke. There's two kinds

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Speaker 1: of people in this world. There's people that think you

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Speaker 1: can bucket everybody into two brackets. It's a joke. Anyway,

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Speaker 1: while I'm sitting there in my moment of no my

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Speaker 1: moment of distress is over because thanks to the help

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Speaker 1: of a fellow angler, we got the boat out of

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Speaker 1: the way, and then we were just people sitting there

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Speaker 1: with nothing to do, waiting for a flatbed trailer. And

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Speaker 1: a guy bragged to another guy. He bragged to another guy,

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Speaker 1: He's like, just got forward facing sonar boom. So I thought, man,

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Speaker 1: you should come into the studios. We're gonna be talking

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Speaker 1: about this in a couple of days. We're gonna be

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Speaker 1: we're gonna have a friendly discussion about the future of

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Speaker 1: forward facing sonar. Is it the end of fishing or

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Speaker 1: just the beginning? And we have a sonar enthusiast Danny

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Speaker 1: Thompson works for garment, but is not here representing garment.

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Speaker 1: Can I even say that you worked there, you got

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Speaker 1: a garment T shirt.

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Speaker 6: I mean people are gonna.

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Speaker 1: Works for garment, but it's not here as a rep

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Speaker 1: of garment. But he's a sonar enthusiast. And we're also

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Speaker 1: joined by Jeremy Smith, who is from Lindner Media Productions

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Speaker 1: and angling Edge dot com. Who is is it fair

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Speaker 1: to say suspicious of nervous about?

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Speaker 2: I think there's reasons for concern, with reasons with the

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Speaker 2: technology in certain cases.

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Speaker 1: Yeah. I don't want to lead. We're gonna we're gonna

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Speaker 1: do the news first. I don't want to lead the thing.

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Speaker 1: But we've been here before. Uh, for hunters out there

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Speaker 1: that don't care about fishing, we've been here before with

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Speaker 1: drone technology, smart rifles, you know, yeah, remote control hunting

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Speaker 1: with remote control rifle. Yeah, like this comes up, this

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Speaker 1: comes up. Sure, How do we fit new How do

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Speaker 1: we fit emerging technologies into our regulatory structures?

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Speaker 5: Wireless cell cameras, yeah.

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Speaker 1: Wireless cell cameras, two way communications, Like, throughout the history

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Speaker 1: of wildlife management, we've done two things. We've gone back

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Speaker 1: and reconsidered old technologies like dynamite. Right right, they're like,

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Speaker 1: you know what, I know, y'all benfishing with dynamite, but

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Speaker 1: we're gonna stop. So we've done that, and then we've

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Speaker 1: engaged around emerging technologies and I have a couple of

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Speaker 1: thoughts about how that goes. And uh, we're gonna hear.

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Speaker 1: We're gonna hear from the fellas here about their thoughts.

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Speaker 1: But can I throw out one till later? Just tilate

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Speaker 1: everybody to keep them hanging around. The minute, there was

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Speaker 1: like a whisper of using drones for hunting. They went

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Speaker 1: after drones before there was a user group. Smart and

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Speaker 1: I started to think to myself, like you have to

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Speaker 1: if you are if you look at an emerging technology,

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Speaker 1: you cannot wait for a user group, and you cannot

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Speaker 1: wait for an industry to build around it. Once you

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Speaker 1: wait for an industry to build around it and an

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Speaker 1: enthusiastic user group. Right, you missed your chance. You missed

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Speaker 1: your chance. Like had someone a long time ago said,

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Speaker 1: you know what, these gas powered boat motors are going

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Speaker 1: to kill fishing. Now you got dudes everywhere, Yeah, you

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Speaker 1: could fish five miles from your house.

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Speaker 3: You're not shutting that down now.

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Speaker 1: You would have been like people. You could have gotten

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Speaker 1: some old timers be like, yeah, what's wrong with rowan

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Speaker 1: and you would have gotten you could have banned boat

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Speaker 1: motors for fishing. But you missed your chance. It's too

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Speaker 1: late now if you bring it up. I remember my

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Speaker 1: dad in the lake I grew up on, trying to

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Speaker 1: get a no wake zone in the evening and jeesuz

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Speaker 1: about burned our house down. But first the news. I

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Speaker 1: got two news pieces that aren't really what one's the

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Speaker 1: newspece see our day. You know that there's a dude

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Speaker 1: that one of the guys that works at the med

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Speaker 1: Eater store on Main Street, the odd calls my kid

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Speaker 1: to ask me they're headed to the emergency room because

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Speaker 1: he had stepped out a lionfish man, which is painful.

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Speaker 1: And I got zapped by a lionfish and I thought

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Speaker 1: I was gonna die because I didn't know about it.

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Speaker 1: It's like I remember getting bit by a bullet ant

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Speaker 1: and I knew it was bad, but I didn't know

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Speaker 1: what happened. And when I got hit by a lionfish

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Speaker 1: in the hand real hard, like someone swung it on

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Speaker 1: the end of a pole spear into my hand. I

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Speaker 1: was with Rannie Bain. I remember Rannie Bain yelled at

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Speaker 1: me put it in cold water, like and like you

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Speaker 1: look online, don't put it in cold water. What you do?

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Speaker 1: And I haven't talked to these guys since, but it

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Speaker 1: was extremely painful but very short lived. Like your hand,

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Speaker 1: like my hand, his foot, whatever, just blows up and

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Speaker 1: it's excruciating pain. Like I was just laying in the

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Speaker 1: bottom of the boat writhing in pain. Two hours later,

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Speaker 1: I couldn't even remember where the hell it happened. You

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Speaker 1: get hot water is hot, like get it so it's

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Speaker 1: too hot to put your hand in. And then the

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Speaker 1: minute you can put your wound in that hot water,

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Speaker 1: somehow it dissolves that toxin and alleviates it. So yeah,

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Speaker 1: they had been wading through the mangroves and one of

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Speaker 1: them stepped on it. But I haven't heard any news

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Speaker 1: from them since then. Another personal news bit is this morning,

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Speaker 1: I was trying to remember if the invasive dove is

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Speaker 1: called a ring neck dove or a collar dove. It's

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Speaker 1: a collar dove. But everywhere now, oh yeah, in this

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Speaker 1: state recording Southwest Montana today for the first I'd always

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Speaker 1: see him around town. I saw the first three in

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Speaker 1: my yard today.

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Speaker 5: Oh really, first and first three? Seen where?

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Speaker 1: The first three I ever see? I've seen them from.

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Speaker 1: Actually I need to go into my bird list and

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Speaker 1: put them down. We keep a bird list for the yard. Uh,

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Speaker 1: the first three I've ever seen, like touch foot in

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Speaker 1: my yard.

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Speaker 5: Yeah, We've got tons of them.

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Speaker 1: So I'm debating, like my kid will get them now

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Speaker 1: and then elsewhere. I'm debating is it ethical or not

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Speaker 1: ethical to start a little feed station.

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Speaker 5: I go for it because on.

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Speaker 1: One hand you're supporting them, but on the other hand,

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Speaker 1: you're whiting. You're trying to whittle it down. It's an

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Speaker 1: ethical conundrum with probably legal with probably legal components. But

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Speaker 1: you're allowed to feed birds and they're not a game bird.

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Speaker 5: And they're in invasive, so I don't know about it.

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Speaker 1: I don't know.

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Speaker 5: They're bigger than mourning doves.

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Speaker 1: I think, yeah, I can tell them just if you

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Speaker 1: get like because I mean, mourning doves are a little

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Speaker 1: bit you know, it's like the mona Zuma's dove. It's

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Speaker 1: like a real small little shit in the mourning dove.

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Speaker 1: And you got like a mourning dove and you kind

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Speaker 1: of get used to that size. It's just a plumper.

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Speaker 1: It's a plumper bird. The other day we were at

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Speaker 1: the other night, we were at my neighbors. We're shooting

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Speaker 1: bows at my neighbors because he's got a great shooting setup.

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Speaker 1: And I look out in his front yard and there's

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Speaker 1: a collar dove getting a drink of water out of

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Speaker 1: a mud puddle. And I told my kid try to

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Speaker 1: get him. And then we questioned it. My neighbor's wife

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Speaker 1: pointed out that that might not be the most popular

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Speaker 1: move with a neighbor, so we did not do it.

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Speaker 1: And then I told him I was like, confirm the

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Speaker 1: collar or else she might be in big trouble with

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Speaker 1: the law. Yep, she don't want to be a mourning dove.

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Speaker 1: A dude wrote in we had had a big discussion

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Speaker 1: about Doug Durren's emphasis on always backing in and how

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Speaker 1: he credits backing in with saving his father's life, which

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Speaker 1: I think is a is an overstatement. I think I

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Speaker 1: think Vince Derham would have survived getting attacked by his

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Speaker 1: own chainsaw whether he had backed in or not. But

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Speaker 1: there's a term for it that I didn't know. In

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Speaker 1: the mining industry. What's what's the OENNG industry? He says.

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Speaker 1: In the mining industry. Oh okay, this guy says, in

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Speaker 1: the mining and oil and gas industries, it is called

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Speaker 1: the move. It's called first move forward, like backing in.

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Speaker 1: You can call it backing in and everybody's like, yeah,

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Speaker 1: I know what that means. Or you can call it

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Speaker 1: first move forward and people will be that they don't

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Speaker 1: know what that means.

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Speaker 5: That's like the tactical name for it.

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Speaker 1: Yeah. It's like your wallet used to be your wallet,

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Speaker 1: now it's your E d C. Your pocket knife was

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Speaker 1: always a pocket knife, it's your EDC. Guy wrote it

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Speaker 1: a big thing about Red Don, which I don't know.

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Speaker 1: Why did we talk about Red Don. It's a great movie.

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Speaker 4: You've brought it up a lot and whatnot.

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Speaker 1: Well, I brought it up because I am now like

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Speaker 1: I now have my boy being My boy is at

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Speaker 1: the age where, you know, fourteen fifteen years old, he's

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Speaker 1: at the age where I can now go show him

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Speaker 1: all the movies I liked when I was fourteen fifteen

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Speaker 1: years old. So we recently watched Red Dawn, and the

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Speaker 1: guy wrote in and I'm not totally sure why I

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Speaker 1: like it enough to talk about it, but I don't

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Speaker 1: know what he's getting at. He says. Red Dawn nineteen

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Speaker 1: eighty four is a masterpiece of modern cinema. Makes you

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Speaker 1: think about all kinds of cool stuff like government authority,

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Speaker 1: history as written by the victors, and of course dirty comies.

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Speaker 1: But I'm puzzled by history as written by the victors

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Speaker 1: because in the end of Red Dawn they go to

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Speaker 1: the the monument, and you gather from the monument that

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Speaker 1: we beat the Commies. We beat back the Commies. As

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Speaker 1: a boy eating pop tarts and watching TNT, the film

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Speaker 1: made me think about words quite a bit, like definitions

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Speaker 1: of vigilante, freedom, fired, fighter, terrorist, and the like. Also,

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Speaker 1: how all my boy Scout ranks and commendations would crush

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Speaker 1: in a post invasion America. That's another good thing he

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Speaker 1: brings up because in Red Dawn, the guy that has

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Speaker 1: an Eagle Scout is being targeted by the Rooskies. Remember

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Speaker 1: they think it's a paramilitary organization. He says, superheroes are

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Speaker 1: kind of vigilantes. America is at war with.

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Speaker 2: The tear Really, I wish I'd better understood where.

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Speaker 1: He's going with this. What it boils down doing the

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Speaker 1: end he's.

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Speaker 5: Trying to ask, what are what are those kids in

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Speaker 5: Red Dawn?

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Speaker 1: No, that's what, that's what. Yeah, it's I love it. Yeah,

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Speaker 1: Alex love everything about it. Love your letter. I think

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Speaker 1: he's saying like that from it depends on whose perspective, right,

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Speaker 1: because here you have they're violating, they're they're poaching deer

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Speaker 1: to eat. But they're the heroes. So are they poachers?

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Speaker 5: Well, I mean are they poaching? Like, are you still

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Speaker 5: a poacher? If you're being occupied by some.

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Speaker 1: It would have been good if they had showed him

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Speaker 1: tagged that bar. He like validates his tag, take it

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Speaker 1: to the registration.

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Speaker 5: I think they get a pass.

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Speaker 1: They're really nervous about going back into town. But I

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Speaker 1: need to register. Got twenty four hours.

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Speaker 5: Yeah, like you go up to the rush in general

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Speaker 5: with your tag.

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Speaker 1: It's legal. It's a great question. And then he gets

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Speaker 1: into of course, uh the Mary the robin Hood's people. Okay,

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Speaker 1: you know Robin Hood's people are poachers because they steal

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Speaker 1: the king's game and and and share it with the

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Speaker 1: poor folk. Uh. This would have been better directed to Clay,

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Speaker 1: who does a lot of his bear grease is about uh, violators, poachers,

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Speaker 1: But in Clay's formula. He won't do a poacher unless

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Speaker 1: the poacher is dead. He won't profile a poet. He'll

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Speaker 1: profile famous dead poachers. Or he'll profile poachers who reformed, reformed,

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Speaker 1: who saw the light.

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Speaker 3: Yeah, he's not talking to active poachers.

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Speaker 1: Yeah, he doesn't, he doesn't. I think that's it. That's

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Speaker 1: it for the news, right. Oh No, there are a couple.

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Speaker 7: Of things in there, but they're not all amazing and Choose.

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Speaker 1: Well, we got that, and then we got a guy

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Speaker 1: writing in that just is an interesting thing for people

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Speaker 1: to follow. He puts thing in quotes. There's the thing

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Speaker 1: in quotes happening in my little hometown of Elkins, West

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Speaker 1: Virginia that I find incredibly entertaining. He says he has

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Speaker 1: no affiliation with anyone related to this, and he's been

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Speaker 1: moved out of there for fifteen years, but he still

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Speaker 1: likes to follow the local hunting and fishen scene on Facebook.

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Speaker 1: He says, there's a young man named Trent Mullanu Mullanax

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Speaker 1: maybe Mullenu probably who's been catching an absurd number of

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Speaker 1: absolutely gigantic rainbow trout and he's been putting his photos

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Speaker 1: up at Middle Mountain Sporting Goods, the local hunting bait shop,

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Speaker 1: and he keeps hammering giant trout, and everyone in the

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Speaker 1: town is in an absolute uproar, accusing Trent of all

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Speaker 1: kinds of nasties, like unable to explain this streak of success,

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Speaker 1: saying he's following the stock truck. Other guys are defending

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Speaker 1: his honor and saying these are huge fish no matter

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Speaker 1: how he caught him. People have begun writing poems to

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Speaker 1: explain his like it's inspired poetry trying to explain his

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Speaker 1: incredible streak. He says, it's worth least to mention, and

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Speaker 1: then he gives the Facebook page or search Middle Mountain

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Speaker 1: Sporting Goods on Facebook and you'll find their page and

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Speaker 1: you can follow his trout fishing exploits, you can follow

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Speaker 1: the arguments of his critics and defenders. That seems well worthwhile.

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Speaker 3: Must not be a lot going on in town, but.

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Speaker 1: It reminds it a little bit reminds me of another

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Speaker 1: famous another uh reminds me a little bit of the

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Speaker 1: round Paula Buck in Mitch Ron Paula's legacy of giant Bucks,

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Speaker 1: in that it like, here's this guy, like well giant

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Speaker 1: buck and then buck after buck after buck, right, and

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Speaker 1: people are like, why I don't get bucks like that?

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Speaker 1: How could he be getting these bucks? There must be

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Speaker 1: something going on. He posts another bock, you know what

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Speaker 1: I mean.

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Speaker 8: Yeah, there's a level of success where you just go,

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Speaker 8: uh really, you know, Yeah, that's exactly what I thought

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Speaker 8: when you were talking about that. I'm like, in the

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Speaker 8: hunting industry, every once in a while, somebody will all

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Speaker 8: of a sudden be just you know, one eighties two

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Speaker 8: hundred's in a situation just on fire, yeah, where you're

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Speaker 8: like really like four of them in a season kind

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Speaker 8: of thing. And sometimes when that happens, eventually you find

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Speaker 8: out that it's just there's some shenanigans going on.

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Speaker 1: Yeah, you know, I'm not saying that Trent here.

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Speaker 8: Is right now, no accusations. There's just a level of success.

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Speaker 4: This reminds me of my high school days because we

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Speaker 4: used to go help stock the rivers around my area

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Speaker 4: and then we kind of knew what holds the fish.

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Speaker 1: Yeah, but that was not but this would be brood stock.

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Speaker 5: Yeah, exactly right.

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Speaker 1: He's fishing stockers, he's fishing eight inches. He's fishing eight

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Speaker 1: inch rainbow.

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Speaker 5: They always dump in double worn out.

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Speaker 8: Ones, dirty dog, Trent, but who cares dirty identifiable though.

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Speaker 3: It doesn't mean they got warm by midsummer anyway.

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Speaker 1: They don't live the broodstock when you don't mean if

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Speaker 1: they because they're not naturally reproduced.

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Speaker 4: So they can find a spot where there's some cold water.

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Speaker 4: But at least around Pennsylvania. In some areas, some some streams,

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Speaker 4: it just gets too warm.

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Speaker 1: Yeah, let's have a quick poetry contest. If people go,

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Speaker 1: and if people don't mind, like go type in what

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Speaker 1: are you supposed to type.

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Speaker 7: In Middle Mountains sporting goods.

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Speaker 1: Yep, so middle Mountain sporting goods. If you want to

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Speaker 1: write a.

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Speaker 7: Poem, this is in Elkins, West Virginia.

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Speaker 1: Yeah, write a poem about Trent. Send it in. We'll

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Speaker 1: judge the best poem. We'll send him a present. And

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Speaker 1: then and then if Trent, if you want to call in,

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Speaker 1: I'd love to have you call in and talk about

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Speaker 1: your experience. Is that all fair? All right, let's go

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Speaker 1: around the room and introduce everybody.

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Speaker 9: Danny Well, Danny Thompson obviously you know, work for a

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Speaker 9: Garma Marine from andover Minnesota and fishing enthusiasts, been in

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Speaker 9: the industry now for like ten years, I guess in

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Speaker 9: the fishing business.

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Speaker 1: So do they know what you're here?

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Speaker 5: Yeah?

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Speaker 1: Okay, you told them, Oh yeah. Did they express any

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Speaker 1: kind of reticence that you would come on and express opinions?

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Speaker 2: No?

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Speaker 1: No, okay, supportive? Yeah, good deal. Sweet Well.

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Speaker 2: I'm Jeremy Smith. I work for Lender Media Productions. We

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Speaker 2: make fishing content, so we specialize in making sport fishing

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Speaker 2: content in the Upper Midwest and Canada and avidat so

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Speaker 2: I also would be representing a technology company in many

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Speaker 2: regards with Johnson Outdoors there a customer of ours.

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Speaker 3: So yeah.

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Speaker 2: So Danny and I both have that connection to technology.

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Speaker 1: And Linda is the Lindy Rig.

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Speaker 2: Yeah yeah, like Ellander yep.

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Speaker 1: Can you explain that the owners of it, because I

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Speaker 1: think people will know maybe people would well when I

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Speaker 1: say people like me, for instance, I grew up knowing

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Speaker 1: the Lindy Rig, sure, and then only later it was

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Speaker 1: like oh oh Linder.

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Speaker 2: Linder yeah ye. So yeah. The Linner family founded they

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Speaker 2: made the Lindy Rig famously and then in Fishermen magazine,

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Speaker 2: which turned into in Fisherman Television, and then in the

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Speaker 2: late nineties they sold that company and then started another

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Speaker 2: company called Linder Media, and so they've had that business

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Speaker 2: for about twenty two years. I've been there for almost

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Speaker 2: twenty of it.

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Speaker 1: So it's fun. Yeah, Yeah, it's good.

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Speaker 2: I get to fish all over, so it's like fishing.

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Speaker 2: It's a good job.

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Speaker 1: Seth.

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Speaker 3: Yeah.

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Speaker 1: If now I gotta say this here, Seth is a

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Speaker 1: I wouldn't even I've fished this this emerging technology with Seth. Mhm, Seth,

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Speaker 1: would you regard yourself as an enthusiast or suspicious?

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Speaker 4: I like using it, but I think there's because it works.

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Speaker 4: I have I have mixed opinions. Yeah, I think there's

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Speaker 4: there's at times you gotta be real careful certain things,

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Speaker 4: and then other times it's real fun.

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Speaker 1: Yeah. The first thing, if you're listening at home, the

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Speaker 1: first thing we're gonna do after these intros is someone

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Speaker 1: is gonna explain what we're talking about. Yeah, someone's gonna

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Speaker 1: explain like like a sort of an impartial explanation of

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Speaker 1: what is live scope. And I have gone with Seth

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Speaker 1: live scoping walleyes and you're able to sharpshoot specific individual

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Speaker 1: fish Yep, you're able to be like, no, he's like

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Speaker 1: ten feet to the right, no.

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Speaker 3: Little little cast a little further.

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Speaker 1: Oh oh yeah, he's face and left Yep, yeah, grin.

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Speaker 7: I've used it once. Ice fishing I did. It was

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Speaker 7: it was cool to be able to look in the

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Speaker 7: hole as one window and then look on the screen

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Speaker 7: as another window for you know, information as to what

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Speaker 7: was going on.

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Speaker 1: Did you catch fishy? Otherwise wouldn't have caught uh?

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Speaker 7: I don't think so, because you know, like in a

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Speaker 7: small hole in the ice, there's I mean, we weren't

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Speaker 7: spearing for anything. It was just our line was down there.

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Speaker 7: So not really.

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Speaker 1: I'll tell you technology that lets you catch fishy otherwise

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Speaker 1: wouldn't have caught ice fishing is underwater camera. When they

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Speaker 1: go to mouth, it like sometimes their mouth something that

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Speaker 1: you would have never even registered to hit, and like

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Speaker 1: one you're like, nowh.

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Speaker 5: Ford facing sonar isn't that far off from an underwater

436
00:25:03,359 --> 00:25:04,200
Speaker 5: camp really.

437
00:25:04,280 --> 00:25:09,160
Speaker 1: Right, I'll tell you real quick.

438
00:25:09,160 --> 00:25:11,879
Speaker 4: I'll tell you fishing canyon Ferry through the ice for

439
00:25:11,960 --> 00:25:15,560
Speaker 4: perch that some days I wish I didn't have ford

440
00:25:15,600 --> 00:25:18,199
Speaker 4: facing sonar because you see those fish come right up

441
00:25:18,240 --> 00:25:18,760
Speaker 4: to your.

442
00:25:19,119 --> 00:25:21,000
Speaker 3: Bait and then just swim away, and you're.

443
00:25:20,880 --> 00:25:24,080
Speaker 4: Like, I would rather not just assume that there's nothing

444
00:25:24,080 --> 00:25:25,000
Speaker 4: going on down there.

445
00:25:26,640 --> 00:25:30,200
Speaker 1: You'd get home a lot of earlier. What You're like, dude,

446
00:25:30,200 --> 00:25:34,320
Speaker 1: they're down there, yeah.

447
00:25:33,160 --> 00:25:37,479
Speaker 8: Tony, Tony Peterson. I have actually have a weird connection

448
00:25:37,520 --> 00:25:39,680
Speaker 8: to both of these fellows. Danny and I live in

449
00:25:39,720 --> 00:25:41,960
Speaker 8: the same town. So every once in a while, be

450
00:25:42,000 --> 00:25:43,840
Speaker 8: at like a dance class with my daughters, there's something

451
00:25:43,840 --> 00:25:45,359
Speaker 8: to look over, and he'll be standing there because his

452
00:25:45,440 --> 00:25:48,040
Speaker 8: daughter's in the same class, which is weird. And then

453
00:25:48,080 --> 00:25:50,239
Speaker 8: I used to work in the in Fisherman office. Oh

454
00:25:50,400 --> 00:25:53,919
Speaker 8: so I started out as a fishing writer. My first gig,

455
00:25:54,080 --> 00:25:56,439
Speaker 8: like real full time gig was as an editor for

456
00:25:56,480 --> 00:25:58,879
Speaker 8: Peterson's Bow Hunting magazine, and we were in the in

457
00:25:58,920 --> 00:25:59,880
Speaker 8: Fisherman office.

458
00:26:00,440 --> 00:26:07,120
Speaker 1: So cool. Which which one of them is smarter? Well,

459
00:26:07,160 --> 00:26:09,600
Speaker 1: we'll find out find out.

460
00:26:10,280 --> 00:26:14,240
Speaker 8: But I'm this is a topic that I'm like crazy

461
00:26:14,280 --> 00:26:14,879
Speaker 8: interested in.

462
00:26:14,960 --> 00:26:16,959
Speaker 1: Are you using the technology?

463
00:26:17,040 --> 00:26:18,600
Speaker 8: I don't have it on my boat, but I've used

464
00:26:18,680 --> 00:26:22,760
Speaker 8: my tournament partner has it, I've used it. I'm I don't.

465
00:26:22,880 --> 00:26:25,320
Speaker 8: I literally am kind of agnostic on it. I have

466
00:26:25,400 --> 00:26:28,479
Speaker 8: one foot in each camp because I can see. I

467
00:26:28,480 --> 00:26:31,000
Speaker 8: can see where I think it's going, and I feel

468
00:26:31,040 --> 00:26:33,119
Speaker 8: like when it comes down in price and the average

469
00:26:33,119 --> 00:26:34,960
Speaker 8: walleye guy gets it where I live, it could be

470
00:26:35,000 --> 00:26:38,840
Speaker 8: a could impact the resource. But I'm also like real,

471
00:26:39,560 --> 00:26:42,560
Speaker 8: I don't like taking stuff away without a really good reason.

472
00:26:44,560 --> 00:26:50,800
Speaker 1: Tell your story. Yeah, you know how drones and hunting,

473
00:26:51,640 --> 00:26:57,760
Speaker 1: and now guys are putting thermal on drones supposedly for recovery.

474
00:26:58,680 --> 00:27:03,639
Speaker 1: Who is telling us recently? Some guy they know already.

475
00:27:04,840 --> 00:27:07,320
Speaker 1: It's like, if you know where a white tail buckets,

476
00:27:07,359 --> 00:27:08,919
Speaker 1: it's not you're gonna sneak in and kill it out

477
00:27:08,960 --> 00:27:11,520
Speaker 1: of its bed right, Just that doesn't really You're not

478
00:27:11,520 --> 00:27:13,760
Speaker 1: gonna crawl up on a bedded whitetail and kill it.

479
00:27:13,960 --> 00:27:17,680
Speaker 1: I mean maybe once in a lifetime. But when he's

480
00:27:17,680 --> 00:27:23,480
Speaker 1: setting up, he flies his area to see where deer bedded,

481
00:27:24,280 --> 00:27:27,560
Speaker 1: and that influences where he sets up to pick them

482
00:27:27,560 --> 00:27:31,200
Speaker 1: off coming out of their beds. So already, yeah, yeah,

483
00:27:31,200 --> 00:27:32,760
Speaker 1: I don't like that. When you like, you know what

484
00:27:32,800 --> 00:27:35,359
Speaker 1: I mean, it's like it's like, oh, no, my buddy

485
00:27:35,920 --> 00:27:37,800
Speaker 1: lost the buck I'm just trying to find it.

486
00:27:38,440 --> 00:27:41,000
Speaker 8: Well, I mean you think about that and say it.

487
00:27:41,080 --> 00:27:43,439
Speaker 8: Say the difference between a big woods hunt, you know,

488
00:27:43,480 --> 00:27:46,320
Speaker 8: low deer density or whatever, or fly you know, fly drone,

489
00:27:46,359 --> 00:27:48,520
Speaker 8: there would be a different thing. Think about like a

490
00:27:48,560 --> 00:27:51,840
Speaker 8: cattail slew or a western like western Minnesota, where you

491
00:27:51,880 --> 00:27:54,679
Speaker 8: could be like that dude's betted in that little willow

492
00:27:54,760 --> 00:27:57,480
Speaker 8: patch there. We're gonna go push him out, or I'm

493
00:27:57,480 --> 00:27:58,920
Speaker 8: gonna go sit up over him.

494
00:27:58,840 --> 00:27:59,000
Speaker 1: You know.

495
00:27:59,200 --> 00:28:04,560
Speaker 8: So it's the wind doing this right there, right, yeah?

496
00:28:04,720 --> 00:28:07,520
Speaker 8: So I yeah, there are ways you could put that

497
00:28:07,560 --> 00:28:09,840
Speaker 8: to you. I mean we were talking about turkeys earlier.

498
00:28:10,280 --> 00:28:13,240
Speaker 8: I mean you could probably find a roost. I've never

499
00:28:13,320 --> 00:28:15,760
Speaker 8: used a drone with the infrared on it. Oh, but god,

500
00:28:15,960 --> 00:28:17,679
Speaker 8: you could probably find a roost and be like, we

501
00:28:17,720 --> 00:28:20,320
Speaker 8: got birds right there, you know.

502
00:28:21,000 --> 00:28:24,800
Speaker 1: Sure, browdy, Brody is brody?

503
00:28:25,200 --> 00:28:26,240
Speaker 5: Yep, I'm brody.

504
00:28:26,960 --> 00:28:27,800
Speaker 1: You're probably torn.

505
00:28:28,800 --> 00:28:30,959
Speaker 5: I'm torn. I don't have it on my boat, Like

506
00:28:31,000 --> 00:28:34,160
Speaker 5: I fish a lot for while. I perch around here

507
00:28:34,240 --> 00:28:38,240
Speaker 5: all summer long with my boys, and I've been tempted,

508
00:28:38,320 --> 00:28:42,800
Speaker 5: but I haven't. I haven't gotten it because mostly because

509
00:28:43,040 --> 00:28:45,840
Speaker 5: I don't want to be staring at that screen all

510
00:28:45,920 --> 00:28:50,600
Speaker 5: day long. And it's not like this like war against

511
00:28:50,640 --> 00:28:53,880
Speaker 5: screens necessarily, but it's like you go out fishing and

512
00:28:53,920 --> 00:28:57,720
Speaker 5: the whole day goes by and you haven't like, yeah,

513
00:28:58,120 --> 00:29:00,600
Speaker 5: it's just and we do alright with that? You know

514
00:29:00,680 --> 00:29:01,120
Speaker 5: what I mean?

515
00:29:01,280 --> 00:29:07,120
Speaker 1: You don't find Uh, Okay, this is the last thing

516
00:29:07,120 --> 00:29:08,680
Speaker 1: I can say before we explain what it is we're

517
00:29:08,720 --> 00:29:15,080
Speaker 1: talking about. This is interesting bass. So professional bass Circuit

518
00:29:16,240 --> 00:29:20,840
Speaker 1: they've limited competitors to one LS transducer in fifty five

519
00:29:20,880 --> 00:29:26,959
Speaker 1: inches of screen space. Te does that mean let's explain

520
00:29:27,000 --> 00:29:29,400
Speaker 1: what it is first? That's too complicated. Who's gonna explain

521
00:29:29,440 --> 00:29:30,400
Speaker 1: what the hell it is? Danny.

522
00:29:30,440 --> 00:29:34,280
Speaker 6: I'll give it a shot, but don't get.

523
00:29:34,120 --> 00:29:35,640
Speaker 1: Into whether it's gonna end the world or not.

524
00:29:35,840 --> 00:29:36,600
Speaker 6: Yeah, yeah, no.

525
00:29:36,720 --> 00:29:40,080
Speaker 9: So basically, if we look back at sonar and what

526
00:29:40,080 --> 00:29:42,280
Speaker 9: we're running in our boats and whatnot, you know, traditionally

527
00:29:42,320 --> 00:29:45,280
Speaker 9: we'd have traditional sonar, like two D sonar. We're kind

528
00:29:45,280 --> 00:29:47,720
Speaker 9: of sending a ping down to the bottom. It's coming back.

529
00:29:48,280 --> 00:29:50,280
Speaker 9: If it comes back with something like a fish, it

530
00:29:50,360 --> 00:29:52,360
Speaker 9: might look like an arc, or we might get bottom

531
00:29:52,440 --> 00:29:55,280
Speaker 9: something like that. But it was all basically history, right,

532
00:29:55,320 --> 00:29:58,320
Speaker 9: So we'd market whatever sort On the right hand side

533
00:29:58,320 --> 00:30:00,640
Speaker 9: of our screen there would be most recent and then

534
00:30:00,640 --> 00:30:02,760
Speaker 9: it kind of scroll across the screen. Oh okay, look

535
00:30:02,800 --> 00:30:04,520
Speaker 9: we went over a rock pile, maybe went over what

536
00:30:04,560 --> 00:30:05,120
Speaker 9: we thought was.

537
00:30:05,040 --> 00:30:05,959
Speaker 6: A big walleye.

538
00:30:06,440 --> 00:30:07,320
Speaker 1: What was the delay?

539
00:30:07,920 --> 00:30:09,840
Speaker 9: I mean it you know, it depends on how fast

540
00:30:09,840 --> 00:30:12,280
Speaker 9: you're going and all that kind of stuff. But let's say,

541
00:30:12,760 --> 00:30:14,240
Speaker 9: you know, get to the middle of the screen. It

542
00:30:14,320 --> 00:30:17,720
Speaker 9: might have been you know, five to fifteen seconds ago.

543
00:30:17,840 --> 00:30:19,440
Speaker 9: Depending on how fast we're going, it could have been

544
00:30:19,560 --> 00:30:22,360
Speaker 9: second ago. If we're going fast, right. But now with

545
00:30:22,560 --> 00:30:25,760
Speaker 9: live sonar, what we're doing is we're basically taking like

546
00:30:25,840 --> 00:30:27,760
Speaker 9: scanning sonar, so it's almost gonna be more of like

547
00:30:27,760 --> 00:30:30,760
Speaker 9: a side imaging image or a down imaging image. We're

548
00:30:30,800 --> 00:30:34,120
Speaker 9: speeding it up really fast, and then on top of it,

549
00:30:34,400 --> 00:30:36,160
Speaker 9: what you're able to do is get a really wide

550
00:30:36,200 --> 00:30:38,800
Speaker 9: cone angle. So with traditional sonar were maybe seven to

551
00:30:38,960 --> 00:30:43,000
Speaker 9: sixteen degrees, so the coverage of the bottom not only

552
00:30:43,120 --> 00:30:46,360
Speaker 9: was it like historical, we might only be covering anywhere

553
00:30:46,400 --> 00:30:50,000
Speaker 9: from five to you know, ten feet to the bottom.

554
00:30:50,080 --> 00:30:53,560
Speaker 9: Maybe that's all we're seeing now with a live scope transducer.

555
00:30:53,640 --> 00:30:55,080
Speaker 9: Let's just say in this case, I have it mounted

556
00:30:55,120 --> 00:30:57,600
Speaker 9: on my trolling motor. I have one hundred and thirty

557
00:30:57,640 --> 00:31:02,040
Speaker 9: five degree cone angle by twenty degrees, So if I'm

558
00:31:02,320 --> 00:31:04,760
Speaker 9: sitting on a lake like Malas on the mudflats. I

559
00:31:04,760 --> 00:31:08,120
Speaker 9: can look backwards let's say twenty five feet, and I

560
00:31:08,120 --> 00:31:11,520
Speaker 9: can look forward up to two hundred feet, you know,

561
00:31:12,200 --> 00:31:14,240
Speaker 9: And and obviously you know it's stepth dependance. So the

562
00:31:14,280 --> 00:31:16,880
Speaker 9: shallower we go, the less distance that we can see,

563
00:31:16,880 --> 00:31:19,000
Speaker 9: the deeper we are kind of the better the image

564
00:31:19,000 --> 00:31:19,600
Speaker 9: really gets.

565
00:31:19,680 --> 00:31:23,880
Speaker 1: And what is tell folks about at what depths does

566
00:31:23,920 --> 00:31:27,200
Speaker 1: it become irrelevant? Like what are the technology now allows

567
00:31:27,200 --> 00:31:29,360
Speaker 1: you to fish? Not one hundred feet? Right?

568
00:31:29,920 --> 00:31:31,920
Speaker 9: Yeah, I mean we could go you know, I was

569
00:31:32,160 --> 00:31:34,520
Speaker 9: trout fishing up in Canada, and we can see down

570
00:31:34,560 --> 00:31:38,040
Speaker 9: past one hundred feet of water, really, you know. And

571
00:31:38,080 --> 00:31:40,960
Speaker 9: then there's there's other transducers now, like we've got an

572
00:31:41,120 --> 00:31:43,959
Speaker 9: XR that will work like saltwater, you know, so you

573
00:31:43,960 --> 00:31:46,400
Speaker 9: can get down to like five hundred feet fresh water

574
00:31:47,040 --> 00:31:48,600
Speaker 9: and three hundred feet saltwater.

575
00:31:55,120 --> 00:31:57,120
Speaker 1: I was on the fence, but now I'm like firmly

576
00:31:57,200 --> 00:32:01,719
Speaker 1: in the podcast over as soon as you said three

577
00:32:01,840 --> 00:32:05,160
Speaker 1: hundred feet of salt water. But because that's like mystery

578
00:32:05,240 --> 00:32:05,960
Speaker 1: land down there.

579
00:32:06,320 --> 00:32:09,320
Speaker 9: Yeah yeah, but and it's live, you know. And then

580
00:32:09,440 --> 00:32:11,440
Speaker 9: as we go shallow, we actually have what we call

581
00:32:11,520 --> 00:32:13,840
Speaker 9: like a perspective mode, so we can kind of take

582
00:32:13,880 --> 00:32:16,040
Speaker 9: that cone angle and turn it on its side, so

583
00:32:16,120 --> 00:32:16,720
Speaker 9: to speak.

584
00:32:16,840 --> 00:32:18,880
Speaker 6: So we're gonna be twenty degrees up and down.

585
00:32:19,160 --> 00:32:21,040
Speaker 9: We're gonna be one hundred and thirty five or technically

586
00:32:21,080 --> 00:32:23,040
Speaker 9: one hundred and fifty kind of that left and right.

587
00:32:23,480 --> 00:32:25,920
Speaker 9: So now when we get in that under ten feet

588
00:32:25,960 --> 00:32:29,080
Speaker 9: of water, we can still get our distance, but it's

589
00:32:29,080 --> 00:32:31,320
Speaker 9: not like you don't you can't see your bait dropping

590
00:32:31,360 --> 00:32:34,440
Speaker 9: as well, you know, the fish, the image isn't quite

591
00:32:34,480 --> 00:32:36,680
Speaker 9: as good as it is like in the forward mode.

592
00:32:37,840 --> 00:32:41,000
Speaker 5: And for people that aren't familiar, like you can point

593
00:32:41,000 --> 00:32:42,400
Speaker 5: that thing too where you want it.

594
00:32:42,600 --> 00:32:44,640
Speaker 9: Yeah, So like like in this example, I'm in a

595
00:32:44,640 --> 00:32:46,640
Speaker 9: bass boat, right and I have it on my trolling motor.

596
00:32:46,880 --> 00:32:50,400
Speaker 9: Wherever my trolling motor is pointed is where that image

597
00:32:50,440 --> 00:32:52,680
Speaker 9: is looking, you know. And then that's why we picked

598
00:32:52,720 --> 00:32:55,719
Speaker 9: that twenty degree cone angle. So if we're flipping docks

599
00:32:55,840 --> 00:32:58,440
Speaker 9: or I'm you know, throwing a bait into some millfoil,

600
00:32:58,560 --> 00:33:02,240
Speaker 9: or I'm scoping wall with slip bobbers, when I see

601
00:33:02,240 --> 00:33:05,120
Speaker 9: that fish seventy five feet out and I make that cast,

602
00:33:05,840 --> 00:33:07,800
Speaker 9: if we were to go wider, we're not able to

603
00:33:07,800 --> 00:33:09,880
Speaker 9: be accurate, so we keep it twenty degrees, so that

604
00:33:09,920 --> 00:33:13,000
Speaker 9: when we throw that bait, the bait's gonna land relatively

605
00:33:13,320 --> 00:33:15,920
Speaker 9: close to that fish if I can land in a

606
00:33:16,000 --> 00:33:17,000
Speaker 9: twenty degree cone angle.

607
00:33:17,240 --> 00:33:24,440
Speaker 1: Yeah, all right, Jeremy. Okay, here's what here. You're gonna

608
00:33:24,440 --> 00:33:29,040
Speaker 1: get a lot more chance to talk. But the what's

609
00:33:29,080 --> 00:33:33,280
Speaker 1: good about it is pretty obvious helps you catch fish.

610
00:33:33,840 --> 00:33:38,120
Speaker 1: All right, Jeremy, if you wouldn't mind, Now that he's

611
00:33:38,160 --> 00:33:42,959
Speaker 1: explained what the technology is, can you articulate some like

612
00:33:43,000 --> 00:33:45,720
Speaker 1: what is this? What are the concerns the anglers should

613
00:33:45,720 --> 00:33:50,920
Speaker 1: be considering as we as we make up our minds

614
00:33:50,920 --> 00:33:54,040
Speaker 1: about this technology. And I just want to remind people,

615
00:33:54,040 --> 00:33:55,920
Speaker 1: and before you go, I want to preface this by

616
00:33:55,960 --> 00:34:01,640
Speaker 1: saying just just to just to give the historical context

617
00:34:01,920 --> 00:34:08,440
Speaker 1: and fisheries, wildlife management, fisheries management, there is since the

618
00:34:08,520 --> 00:34:13,040
Speaker 1: beginning of fisheries management, and since the beginning of wildlife management,

619
00:34:13,760 --> 00:34:22,440
Speaker 1: we have regulated technologies net size, mesh size, use of explosives,

620
00:34:22,520 --> 00:34:27,000
Speaker 1: use of poisons, use of electronics. We make it that

621
00:34:27,160 --> 00:34:29,759
Speaker 1: sometimes a year you can't fish. We tell people how

622
00:34:29,800 --> 00:34:31,799
Speaker 1: many fish they can have, how big a fish they

623
00:34:31,800 --> 00:34:35,840
Speaker 1: can have. We distinguish between whether you're a resident or

624
00:34:36,000 --> 00:34:39,359
Speaker 1: non resident, like we regulate the piss out of hunt

625
00:34:39,400 --> 00:34:42,920
Speaker 1: and fishing. Just to set the this is not like

626
00:34:43,560 --> 00:34:46,000
Speaker 1: you know this, This can be a lot of things,

627
00:34:46,680 --> 00:34:49,719
Speaker 1: but this can't be a issue of is it fair

628
00:34:49,760 --> 00:34:53,560
Speaker 1: to regulate fisheries? Yeah, because we regulate the hell out

629
00:34:53,560 --> 00:34:56,400
Speaker 1: of fish. Okay, So I just wanted that's I'm just

630
00:34:56,440 --> 00:34:59,239
Speaker 1: telling for the audience, like any question I think is

631
00:34:59,280 --> 00:35:01,720
Speaker 1: fair by Mike, but it should start with the knowledge

632
00:35:01,760 --> 00:35:06,480
Speaker 1: that we always are weighing impacts on impacts on resource.

633
00:35:06,600 --> 00:35:08,440
Speaker 2: Yeah, and you hit on a topic right away that

634
00:35:08,480 --> 00:35:12,000
Speaker 2: I think was good. So in terms of technology, like phishing,

635
00:35:12,120 --> 00:35:14,480
Speaker 2: hasn't really looked at tech and said, you know, like

636
00:35:14,680 --> 00:35:16,799
Speaker 2: this this tech is out of bounds. I mean we

637
00:35:16,840 --> 00:35:20,720
Speaker 2: have with dynamite for example, but electronics technology for example.

638
00:35:20,800 --> 00:35:23,719
Speaker 1: So like you can't think of an example.

639
00:35:24,600 --> 00:35:26,959
Speaker 2: I can't. So nobody said like you can't have side

640
00:35:27,000 --> 00:35:29,840
Speaker 2: imaging or down imaging or mapping is out of bounds.

641
00:35:29,920 --> 00:35:30,080
Speaker 1: Right.

642
00:35:30,200 --> 00:35:33,080
Speaker 2: So, but with hunting, you had a good point earlier

643
00:35:33,120 --> 00:35:36,160
Speaker 2: on Steve that like you've got this adoption rate when

644
00:35:36,160 --> 00:35:38,640
Speaker 2: this technology comes on board, where you get a big

645
00:35:38,800 --> 00:35:41,640
Speaker 2: user group that loves it, right, and then others are

646
00:35:41,680 --> 00:35:44,600
Speaker 2: concerned about it. So in terms of regulating something beyond that,

647
00:35:44,600 --> 00:35:47,799
Speaker 2: that becomes really difficult. So to me, one of the

648
00:35:47,840 --> 00:35:51,000
Speaker 2: biggest places of concern. And I know you love these critters, Steve,

649
00:35:51,040 --> 00:35:52,960
Speaker 2: with Larry ramsel On here is muskies.

650
00:35:53,160 --> 00:35:53,560
Speaker 1: Yeah right.

651
00:35:55,760 --> 00:35:57,680
Speaker 2: I also want to ask if you got Larry's girlfriend

652
00:35:57,680 --> 00:35:59,000
Speaker 2: with your bluegill bobber Biteley.

653
00:36:00,040 --> 00:36:02,719
Speaker 1: You know what, though, I think I need I realize

654
00:36:03,640 --> 00:36:06,640
Speaker 1: he invited me to go musky fishing. Yeah yeah, but

655
00:36:06,719 --> 00:36:09,239
Speaker 1: I don't think I've ever legitimately caught a musky. Yeah,

656
00:36:09,360 --> 00:36:12,799
Speaker 1: even yeah, even after talking to him. Okayer, muskies which

657
00:36:12,800 --> 00:36:13,280
Speaker 1: don't count.

658
00:36:13,360 --> 00:36:15,680
Speaker 2: Well, they're cool, they're super cool fish. But yeah, so

659
00:36:15,800 --> 00:36:19,000
Speaker 2: muskies in my opinion, like they're they have low reproductive rates,

660
00:36:19,040 --> 00:36:22,160
Speaker 2: they get really big, they tend to suspend an open water,

661
00:36:22,280 --> 00:36:25,239
Speaker 2: so they're really easy to see with this technology. So

662
00:36:25,640 --> 00:36:28,239
Speaker 2: muskies aren't in my opinion, awesome, right, they've been a fish.

663
00:36:28,280 --> 00:36:30,440
Speaker 2: It's really hard to catch. You gotta bust your ass

664
00:36:30,480 --> 00:36:32,920
Speaker 2: to catch them. They live in cool places. There's all

665
00:36:32,960 --> 00:36:36,759
Speaker 2: this cool culture around musky fishing, making lures and you know,

666
00:36:36,880 --> 00:36:38,799
Speaker 2: just the mystique of it. And so now with the

667
00:36:38,840 --> 00:36:43,040
Speaker 2: technology like this, you know, to encounter one has been

668
00:36:43,120 --> 00:36:45,520
Speaker 2: historically really cool. Now you talk to a dude like,

669
00:36:45,520 --> 00:36:47,120
Speaker 2: how'd you do today, It's like, oh, we got ten

670
00:36:47,680 --> 00:36:49,959
Speaker 2: any big ones? Oh yeah, we got you know, four

671
00:36:49,960 --> 00:36:51,480
Speaker 2: over fifty Like what?

672
00:36:52,080 --> 00:36:52,479
Speaker 1: No way?

673
00:36:52,600 --> 00:36:55,520
Speaker 2: Like you can put this tech down and drive, you know,

674
00:36:55,600 --> 00:36:57,719
Speaker 2: cross sections of a lake and be like, we're not

675
00:36:57,800 --> 00:36:59,640
Speaker 2: fishing until we see one. You don't even bother with

676
00:36:59,719 --> 00:37:03,240
Speaker 2: troll Like that's completely a waste of time now because

677
00:37:03,239 --> 00:37:05,640
Speaker 2: you just use this tech to find the fish cast

678
00:37:05,680 --> 00:37:06,880
Speaker 2: at them boom.

679
00:37:07,080 --> 00:37:07,279
Speaker 5: Right.

680
00:37:07,360 --> 00:37:11,239
Speaker 2: So muskie anglers like have a huge problem with this, right,

681
00:37:11,280 --> 00:37:11,600
Speaker 2: And so.

682
00:37:11,880 --> 00:37:14,439
Speaker 1: The traditional musky anglers you bet yeah.

683
00:37:14,480 --> 00:37:16,440
Speaker 2: And I would say, you know, not all of course,

684
00:37:16,480 --> 00:37:19,160
Speaker 2: but a large percentage of them are saying, hey, man, like,

685
00:37:19,520 --> 00:37:21,800
Speaker 2: you know, we've had I'm sorry to go to Minnesota

686
00:37:21,840 --> 00:37:23,840
Speaker 2: here for this example, but it's what I know is

687
00:37:23,880 --> 00:37:25,960
Speaker 2: like we've had a history of what I would say

688
00:37:26,120 --> 00:37:29,319
Speaker 2: poor management of muskies since early two thousands, where we've

689
00:37:29,360 --> 00:37:32,120
Speaker 2: lost a number of our stock fisheries, the numbers of

690
00:37:32,200 --> 00:37:34,319
Speaker 2: fish that we have, which has forced a lot of

691
00:37:34,320 --> 00:37:37,520
Speaker 2: pressure on our native fisheries. Because the stock fisheries that

692
00:37:37,719 --> 00:37:39,920
Speaker 2: they built, they built this big group of anglers who

693
00:37:40,000 --> 00:37:43,400
Speaker 2: love participating in the sport. The fish aren't necessarily there anymore,

694
00:37:43,440 --> 00:37:45,600
Speaker 2: so we're putting all this pressure on our native fisheries.

695
00:37:45,680 --> 00:37:47,360
Speaker 1: Can I ask what's happened to those fish?

696
00:37:47,600 --> 00:37:50,640
Speaker 2: It's been a stocking issue and we've had issues with

697
00:37:50,960 --> 00:37:53,200
Speaker 2: the politics around it. We had a bunch of people

698
00:37:53,320 --> 00:37:56,440
Speaker 2: back maybe ten years ago that just hated muskies and

699
00:37:56,760 --> 00:37:59,600
Speaker 2: so got to be this political climate where it just

700
00:37:59,640 --> 00:38:02,600
Speaker 2: became difficult to get fish. We've had problems raising.

701
00:38:02,360 --> 00:38:03,440
Speaker 1: Because they were mowing on.

702
00:38:05,320 --> 00:38:06,680
Speaker 2: They eat everything, which.

703
00:38:06,600 --> 00:38:08,520
Speaker 8: Obviously is not true when you get that that was

704
00:38:08,560 --> 00:38:11,720
Speaker 8: the thought that was like the narrative used against muskies.

705
00:38:11,800 --> 00:38:13,239
Speaker 8: Was it that that they're eating the walleyes and the

706
00:38:13,280 --> 00:38:14,360
Speaker 8: walleyes are more valuable.

707
00:38:14,520 --> 00:38:16,600
Speaker 2: Yeah, But the bottom line is when you've got these

708
00:38:16,600 --> 00:38:19,840
Speaker 2: big predators and systems like, you've got a really quality fishery.

709
00:38:19,920 --> 00:38:22,279
Speaker 2: Like we know that right prices are muskies have big

710
00:38:22,320 --> 00:38:25,320
Speaker 2: pike live. There's just good fishing if you want a

711
00:38:25,400 --> 00:38:26,160
Speaker 2: quality fishery.

712
00:38:26,280 --> 00:38:30,480
Speaker 1: So so there aren't many bad fishing lakes that just

713
00:38:30,560 --> 00:38:37,239
Speaker 1: have giant muskies everywhere. No, they're all amazing, Yeah, big

714
00:38:37,320 --> 00:38:39,040
Speaker 1: muskies in them, so they go hand in hand with

715
00:38:39,080 --> 00:38:39,439
Speaker 1: good fish.

716
00:38:39,640 --> 00:38:43,720
Speaker 2: They do, They definitely do so leech, like, for example,

717
00:38:43,760 --> 00:38:45,719
Speaker 2: which is one of our native fisheries. It's a place

718
00:38:45,760 --> 00:38:49,160
Speaker 2: where we get all the broodstock for muskies. I was

719
00:38:49,200 --> 00:38:52,200
Speaker 2: on this like crusade throughout the winter having done this,

720
00:38:52,320 --> 00:38:54,440
Speaker 2: like just to give you an example of how powerful

721
00:38:54,440 --> 00:38:56,799
Speaker 2: this technology is. It's like, oh, you know, we know

722
00:38:56,880 --> 00:38:58,840
Speaker 2: that these fish are out in these open water basins,

723
00:38:58,840 --> 00:39:02,760
Speaker 2: and it's like these big, huge, expansive areas that essentially,

724
00:39:02,800 --> 00:39:04,680
Speaker 2: like from a wildlife side, you would look at, this

725
00:39:05,040 --> 00:39:08,799
Speaker 2: area is basically functionally remote, just because the technology would

726
00:39:08,840 --> 00:39:11,640
Speaker 2: allow us to access these fish or these fisheries with

727
00:39:11,719 --> 00:39:16,760
Speaker 2: any you know, precision, any efficiency, really inefficient, inefficient means

728
00:39:16,760 --> 00:39:19,000
Speaker 2: of targeting fish. So now you go out there. I'm like,

729
00:39:19,000 --> 00:39:20,560
Speaker 2: I'm gonna try this. I'm gonna take my ten year

730
00:39:20,560 --> 00:39:23,640
Speaker 2: old kid out there. Half hour boom, two fifty inch muskies.

731
00:39:23,680 --> 00:39:27,680
Speaker 2: You know, Like what, no, man, Like I've done this

732
00:39:27,719 --> 00:39:31,000
Speaker 2: for thirty years, Like this doesn't happen. Talk to my buddy,

733
00:39:31,000 --> 00:39:32,440
Speaker 2: you know, Oh yeah, we got thirty one in the

734
00:39:32,480 --> 00:39:35,760
Speaker 2: last four days, Like what any one? Yeah, the smallest

735
00:39:35,800 --> 00:39:38,359
Speaker 2: was forty seven. You're going, dude, this is nuts. Now

736
00:39:38,400 --> 00:39:41,240
Speaker 2: there's thirty boats out here and this has never been fished,

737
00:39:41,760 --> 00:39:45,120
Speaker 2: like what does this mean? And there's dead fish floating right,

738
00:39:45,440 --> 00:39:46,840
Speaker 2: So that okay.

739
00:39:46,640 --> 00:39:50,239
Speaker 8: That's the concern. It's not that it's easy, and not

740
00:39:50,320 --> 00:39:53,000
Speaker 8: that it became much easier than it traditionally was to

741
00:39:53,000 --> 00:39:55,480
Speaker 8: catch a muskie. It's that now that it's so efficient

742
00:39:55,520 --> 00:39:58,360
Speaker 8: to catch them, the mortality rate is going to go

743
00:39:58,360 --> 00:39:59,759
Speaker 8: way up and the resource is going to be in

744
00:39:59,760 --> 00:40:02,200
Speaker 8: real trouble if it goes the way it looks.

745
00:40:02,280 --> 00:40:04,719
Speaker 2: So, yeah, it could be mortality rate, but you also

746
00:40:04,719 --> 00:40:06,640
Speaker 2: have to look at this as like the opportunities, So

747
00:40:07,280 --> 00:40:09,839
Speaker 2: it is going to it is going to condense opportunities

748
00:40:09,920 --> 00:40:13,359
Speaker 2: right to those who have the technology versus so because

749
00:40:13,400 --> 00:40:16,360
Speaker 2: you're trying to recycle these opportunities. Right with muskies, you're

750
00:40:16,400 --> 00:40:18,359
Speaker 2: not looking for a harvest component of this. You want

751
00:40:18,600 --> 00:40:21,319
Speaker 2: you want to fish to stay in the system. So

752
00:40:21,400 --> 00:40:23,399
Speaker 2: all of a sudden, let's just just make up a number,

753
00:40:23,400 --> 00:40:26,560
Speaker 2: Say there's one hundred opportunities for muskie. If you're condensing

754
00:40:26,600 --> 00:40:29,640
Speaker 2: all those to June at the beginning of the season.

755
00:40:29,760 --> 00:40:32,960
Speaker 2: With people using this technology, the outcome for the angler

756
00:40:32,960 --> 00:40:34,799
Speaker 2: who wants to go throw it a weed better rock

757
00:40:34,840 --> 00:40:39,040
Speaker 2: pile is now different, right, that opportunity has gone to this,

758
00:40:39,239 --> 00:40:42,080
Speaker 2: you know, driving around not fishing until you see a fish.

759
00:40:42,120 --> 00:40:44,800
Speaker 2: So there's a group of anglers that are like, hey man,

760
00:40:45,120 --> 00:40:47,439
Speaker 2: not only could this be killing a lot of big

761
00:40:47,480 --> 00:40:50,520
Speaker 2: fish that are hard to replace in our native fisheries,

762
00:40:51,840 --> 00:40:56,600
Speaker 2: we also like to go just cast and suffer, you know,

763
00:40:56,840 --> 00:40:59,080
Speaker 2: do all this hard work, Like we really appreciate the

764
00:40:59,120 --> 00:41:02,399
Speaker 2: suffering of this or the reward is big and that's

765
00:41:02,480 --> 00:41:04,360
Speaker 2: changing the outcome for us, and we want to do

766
00:41:04,400 --> 00:41:05,080
Speaker 2: something about it.

767
00:41:05,560 --> 00:41:11,200
Speaker 1: No, I'm back to being against it, Dan And I

768
00:41:11,280 --> 00:41:14,400
Speaker 1: think here's one in my shopping cart at the end

769
00:41:14,440 --> 00:41:16,480
Speaker 1: of the episode. I'm gonna hit by or not.

770
00:41:18,239 --> 00:41:20,239
Speaker 9: And me and Jeremy got to talk about this a lot,

771
00:41:20,280 --> 00:41:22,360
Speaker 9: and we're actually both on a panel with the Minnesota

772
00:41:22,400 --> 00:41:25,759
Speaker 9: DNR where we actually do get to somewhat discussed this

773
00:41:25,840 --> 00:41:27,680
Speaker 9: a little bit, you know, which is a new thing.

774
00:41:28,800 --> 00:41:31,799
Speaker 1: I'm sorry, what's the panel so.

775
00:41:32,040 --> 00:41:34,879
Speaker 9: And and Jeremy's probably better on explaining that I've only

776
00:41:34,880 --> 00:41:36,759
Speaker 9: made it to the one summit that we just had

777
00:41:37,040 --> 00:41:38,879
Speaker 9: recently got like appointed to it.

778
00:41:38,960 --> 00:41:42,920
Speaker 2: But so the Minnesota DANARE are has these like species

779
00:41:43,280 --> 00:41:46,759
Speaker 2: or interest work groups or they've got stakeholders that meet

780
00:41:46,800 --> 00:41:48,760
Speaker 2: with the agency and you come up with some ideas

781
00:41:48,800 --> 00:41:50,040
Speaker 2: of you know, what do we want to do for

782
00:41:50,080 --> 00:41:53,880
Speaker 2: better management for panfish or wall eye or musky. In

783
00:41:53,920 --> 00:41:56,080
Speaker 2: this case, they've got one technology, so.

784
00:41:56,320 --> 00:41:59,680
Speaker 9: They do they do recently, and they have one I

785
00:41:59,800 --> 00:42:02,200
Speaker 9: must too, so you know, they kind of go hand

786
00:42:02,239 --> 00:42:04,000
Speaker 9: in hand there. Obviously in Minnesota, is.

787
00:42:04,000 --> 00:42:08,799
Speaker 1: The technology one focused on a broad spectrum of technologies

788
00:42:08,880 --> 00:42:10,279
Speaker 1: or is it basically they're talking.

789
00:42:10,040 --> 00:42:14,600
Speaker 9: About live It felt like we're basically talking live scope

790
00:42:14,760 --> 00:42:16,399
Speaker 9: at this point. I mean that that is the most

791
00:42:16,400 --> 00:42:19,880
Speaker 9: pressing issue when when you're talking technology and fishing right now.

792
00:42:20,239 --> 00:42:22,960
Speaker 1: Can I throw there's one that I know is Ryland.

793
00:42:23,160 --> 00:42:26,040
Speaker 1: Folks up, I'm not We're not going to get it.

794
00:42:26,120 --> 00:42:27,600
Speaker 1: We don't need to like debate this because this is

795
00:42:28,120 --> 00:42:32,280
Speaker 1: I don't know anything about it. But dropping baits the drones, yeah,

796
00:42:33,160 --> 00:42:37,719
Speaker 1: is becoming relevant in a couple pursuits dropping baits into

797
00:42:37,719 --> 00:42:43,279
Speaker 1: bait balls where you can instead of getting a boat

798
00:42:43,280 --> 00:42:47,120
Speaker 1: real close where you got to start spooking fishing bait balls,

799
00:42:47,320 --> 00:42:49,680
Speaker 1: you have a drone fly out and can drop a

800
00:42:49,719 --> 00:42:52,680
Speaker 1: live bait onto a bait ball. And then you used

801
00:42:52,680 --> 00:42:55,319
Speaker 1: to be a thing like surf casting. You'd keep a

802
00:42:55,360 --> 00:42:59,800
Speaker 1: boat and then you'd run out and drop where you

803
00:42:59,800 --> 00:43:05,600
Speaker 1: want and now guys just sticking them where they want them.

804
00:43:05,640 --> 00:43:07,799
Speaker 1: So maybe you guys can argue about that new little

805
00:43:07,800 --> 00:43:11,160
Speaker 1: thing but go back down.

806
00:43:11,280 --> 00:43:11,360
Speaker 5: No.

807
00:43:11,520 --> 00:43:14,920
Speaker 9: But basically, I mean, I feel like, you know, and

808
00:43:14,960 --> 00:43:16,640
Speaker 9: to kind of touch on the first point we've talked about.

809
00:43:16,719 --> 00:43:19,120
Speaker 9: Me and Jeremy got to talk a lot, obviously, at

810
00:43:19,120 --> 00:43:22,120
Speaker 9: the end of the day, like nobody wants to do

811
00:43:22,160 --> 00:43:25,799
Speaker 9: what's wrong for the fisheries, right, and I feel like

812
00:43:26,000 --> 00:43:29,319
Speaker 9: everybody's opinion and this is this is the point that

813
00:43:29,480 --> 00:43:31,200
Speaker 9: you know, we always talk about, and like me and

814
00:43:31,280 --> 00:43:33,520
Speaker 9: him talked about yesterday is you know, a lot of

815
00:43:33,520 --> 00:43:36,960
Speaker 9: it is coming down to ethics, right, But everybody's ethics

816
00:43:37,120 --> 00:43:39,160
Speaker 9: can be a little bit different on what we want

817
00:43:39,239 --> 00:43:40,759
Speaker 9: to do. And at the end of the day, I

818
00:43:40,760 --> 00:43:44,520
Speaker 9: don't think any outdoor industry company wants to do what's

819
00:43:44,560 --> 00:43:47,000
Speaker 9: wrong for any other species. Like we want people to

820
00:43:47,040 --> 00:43:50,640
Speaker 9: catch fish. We want to make superior products that help

821
00:43:50,680 --> 00:43:54,120
Speaker 9: people catch more fish and you know, have more opportunity.

822
00:43:54,520 --> 00:43:57,080
Speaker 9: So if we go in and we're devastating a fishery

823
00:43:57,480 --> 00:44:00,160
Speaker 9: like a muskie, that's very easy with this technology. I

824
00:44:00,160 --> 00:44:03,560
Speaker 9: don't think anybody necessarily wants to do that. But I

825
00:44:03,560 --> 00:44:06,799
Speaker 9: think what's important is we want to make decisions sort

826
00:44:06,800 --> 00:44:10,120
Speaker 9: of based on science, sort of based on you know,

827
00:44:10,320 --> 00:44:13,440
Speaker 9: facts and that sort of stuff, and not necessarily on

828
00:44:13,680 --> 00:44:17,440
Speaker 9: a motion, right, because everybody in this room, right might

829
00:44:17,520 --> 00:44:21,720
Speaker 9: have a different opinion on what is good and what isn't.

830
00:44:21,800 --> 00:44:25,080
Speaker 9: And some people might like traditional fishing versus some people,

831
00:44:25,120 --> 00:44:27,640
Speaker 9: like you know, we in this room were all around

832
00:44:27,719 --> 00:44:29,239
Speaker 9: the same age. I'd say, we grew up in an

833
00:44:29,239 --> 00:44:32,040
Speaker 9: age where like fishing meant and we're talking yesterday, Like

834
00:44:32,040 --> 00:44:35,319
Speaker 9: I got a handheld GPS that I'd navigate out on

835
00:44:35,360 --> 00:44:38,040
Speaker 9: the lake with. Well, my dad would mark a tree

836
00:44:38,080 --> 00:44:40,720
Speaker 9: and a cabin and that was his method of mapping

837
00:44:40,719 --> 00:44:43,520
Speaker 9: the lake right, right, and then ice fishing. You know,

838
00:44:43,560 --> 00:44:46,000
Speaker 9: I was in college during the crappy boom on Red

839
00:44:46,080 --> 00:44:48,879
Speaker 9: Lake and like I got a flasher and thought that

840
00:44:48,920 --> 00:44:51,160
Speaker 9: this was you know, that was the end. I was

841
00:44:51,160 --> 00:44:53,600
Speaker 9: gonna catch a limit every single time. But you know

842
00:44:53,880 --> 00:44:56,239
Speaker 9: that isn't always the case either, right, And you know

843
00:44:56,360 --> 00:44:58,879
Speaker 9: I always talk about like bast Master Classic this year

844
00:44:58,920 --> 00:45:01,040
Speaker 9: got the best of the best. They got the best

845
00:45:01,040 --> 00:45:03,160
Speaker 9: of the best equipment when it comes to electronics and

846
00:45:03,200 --> 00:45:05,479
Speaker 9: all that stuff, and some of these guys still can't

847
00:45:05,520 --> 00:45:08,680
Speaker 9: catch a limit of fish. They're the best anglers out there,

848
00:45:09,080 --> 00:45:12,080
Speaker 9: you know, So like there's certain use cases, yeah where

849
00:45:12,120 --> 00:45:14,040
Speaker 9: like I think it might be smart to maybe look

850
00:45:14,080 --> 00:45:17,120
Speaker 9: towards some stuff, but also like just being careful that

851
00:45:17,200 --> 00:45:21,279
Speaker 9: in the overall broader picture, fishing is huge, right, and

852
00:45:21,840 --> 00:45:24,680
Speaker 9: just making sure we're making the right decisions because at

853
00:45:24,680 --> 00:45:26,480
Speaker 9: the end of the day too, and this is the

854
00:45:26,520 --> 00:45:28,320
Speaker 9: case I think for everything from white tail deer to

855
00:45:28,760 --> 00:45:32,799
Speaker 9: wolves to fish, it's not one thing that's killing these

856
00:45:32,800 --> 00:45:35,200
Speaker 9: fish or ruining a fishery. It's always kind of that

857
00:45:35,360 --> 00:45:38,399
Speaker 9: death of a thousand cuts. Yeah, right, So like, not

858
00:45:38,440 --> 00:45:40,600
Speaker 9: only do we have really good technology, we have really

859
00:45:40,600 --> 00:45:43,319
Speaker 9: good boats now and really fast motors and you know

860
00:45:43,600 --> 00:45:45,759
Speaker 9: good the two D sonar is better than it's ever been.

861
00:45:45,840 --> 00:45:48,400
Speaker 9: Side imaging is like, you know, there's a lot of

862
00:45:49,200 --> 00:45:52,839
Speaker 9: you know, things that can lead to you know, the

863
00:45:52,840 --> 00:45:54,080
Speaker 9: detriment of a fishery.

864
00:45:54,719 --> 00:45:55,840
Speaker 1: I want to hit you guys with a couple of

865
00:45:55,840 --> 00:46:03,080
Speaker 1: clarifying questions then we'll get into more opinion. Uh, none

866
00:46:03,080 --> 00:46:04,719
Speaker 1: of us is probably none of us is old enough

867
00:46:04,719 --> 00:46:09,400
Speaker 1: to remember, and it was pre internet. Was I was

868
00:46:09,400 --> 00:46:12,240
Speaker 1: gonna ask about the advent of just fish finders sonar.

869
00:46:14,440 --> 00:46:16,040
Speaker 1: None of us is old enough to remember, and it

870
00:46:16,120 --> 00:46:17,960
Speaker 1: was pre internet, so there wasn't like a place for

871
00:46:18,000 --> 00:46:22,680
Speaker 1: people just to like regurgitate opinions. So you don't really know.

872
00:46:23,200 --> 00:46:28,080
Speaker 1: But I remember being a kid out on We used

873
00:46:28,080 --> 00:46:29,840
Speaker 1: to troll out of salmon in Lake Michigan, and I

874
00:46:29,840 --> 00:46:33,320
Speaker 1: remember the graph paper. Sure, yeah, you had that pencil

875
00:46:33,360 --> 00:46:35,600
Speaker 1: and you can go home with a big role. It

876
00:46:35,640 --> 00:46:38,440
Speaker 1: was like the day of fishing captured on a roll.

877
00:46:39,480 --> 00:46:45,120
Speaker 1: I wish, I wish I could recall what if that

878
00:46:45,360 --> 00:46:49,800
Speaker 1: was pointed out as was that argued about.

879
00:46:50,080 --> 00:46:55,399
Speaker 2: It was actually legislation in the seventies regarding that. Yeah,

880
00:46:55,520 --> 00:46:57,279
Speaker 2: so I thought that was going to be a big,

881
00:46:57,440 --> 00:46:59,359
Speaker 2: big problem in crash fisheries for sure.

882
00:47:00,280 --> 00:47:03,880
Speaker 1: That was debated. It was yeah, okay. The other clarifying

883
00:47:03,960 --> 00:47:08,839
Speaker 1: question is, how have just just to help further set

884
00:47:08,880 --> 00:47:12,880
Speaker 1: the situation up, how have the governing bodies of competitive fishing,

885
00:47:15,200 --> 00:47:16,640
Speaker 1: what has been their attitude about it?

886
00:47:18,239 --> 00:47:22,719
Speaker 9: Yeah, I mean, obviously bass fishing is the big umbrella, right,

887
00:47:22,840 --> 00:47:26,160
Speaker 9: So in walleye fishing, it's kind of business as usual

888
00:47:26,200 --> 00:47:28,719
Speaker 9: at this point, right, But in bass fishing, you know,

889
00:47:28,760 --> 00:47:33,640
Speaker 9: there's a few different main you know leagues, I guess

890
00:47:33,640 --> 00:47:36,520
Speaker 9: that people fish, and it's almost like all three of

891
00:47:36,560 --> 00:47:38,359
Speaker 9: them sort of went went a different route. And so

892
00:47:38,400 --> 00:47:41,280
Speaker 9: you've got one that said okay, no forward facing sonar.

893
00:47:41,440 --> 00:47:44,560
Speaker 9: Who is doing it would be NPFL. And then we've

894
00:47:44,600 --> 00:47:48,680
Speaker 9: got the Major League Fishing Series where they're going to

895
00:47:48,719 --> 00:47:51,040
Speaker 9: allow it for like one of their periods. They'll split

896
00:47:51,120 --> 00:47:54,080
Speaker 9: up the tournament into different periods, and so okay, one

897
00:47:54,120 --> 00:47:54,359
Speaker 9: of them.

898
00:47:54,680 --> 00:47:57,440
Speaker 1: That's a great little test right there. Yeah, that's almost

899
00:47:57,520 --> 00:47:59,840
Speaker 1: like research. Yeah right, that's like ab.

900
00:48:01,440 --> 00:48:05,200
Speaker 9: And then bass Master actually is allowing like one one

901
00:48:05,239 --> 00:48:06,960
Speaker 9: live scope on the boat, you know.

902
00:48:07,000 --> 00:48:08,120
Speaker 6: And that's sort of new this year.

903
00:48:08,160 --> 00:48:10,960
Speaker 9: So last year was was in the years prior was

904
00:48:11,000 --> 00:48:12,880
Speaker 9: sort of free for all. So that's why they're limiting

905
00:48:13,160 --> 00:48:15,600
Speaker 9: the number of screens and the number of live scopes,

906
00:48:15,640 --> 00:48:18,080
Speaker 9: because what people were doing is putting live scopes, say

907
00:48:18,120 --> 00:48:19,480
Speaker 9: on the back of the boat and using it for

908
00:48:19,520 --> 00:48:23,000
Speaker 9: side imaging. And now you're getting live side imaging, and

909
00:48:23,080 --> 00:48:25,520
Speaker 9: you had guys that were running you know, four graphs

910
00:48:25,520 --> 00:48:28,040
Speaker 9: on the dash five upfront, and so they just said, okay,

911
00:48:28,040 --> 00:48:30,560
Speaker 9: we're gonna bring this down a little bit and we'll

912
00:48:30,560 --> 00:48:32,840
Speaker 9: see what happened after this year, right, this will be

913
00:48:32,880 --> 00:48:36,760
Speaker 9: a good learning year to see what happens. But as

914
00:48:36,800 --> 00:48:40,360
Speaker 9: they go nothing, yeah, okay, And as you go around

915
00:48:40,360 --> 00:48:43,000
Speaker 9: the country, you know, like he's speaking with the muskies

916
00:48:43,040 --> 00:48:46,560
Speaker 9: and speaking with different fish, like different fisheries and different

917
00:48:46,640 --> 00:48:49,319
Speaker 9: fish are more susceptible to it. So like when we

918
00:48:49,480 --> 00:48:51,920
Speaker 9: go up north, when we're doing a small mall tournament,

919
00:48:52,560 --> 00:48:55,000
Speaker 9: a lot of times it turns into a scoping tournament, right,

920
00:48:55,600 --> 00:48:58,920
Speaker 9: But like when we're down south and the guys are

921
00:48:58,960 --> 00:49:00,960
Speaker 9: learning how to use four facing son or even in

922
00:49:01,000 --> 00:49:03,560
Speaker 9: the south, like just left Lake Fork and a lot

923
00:49:03,560 --> 00:49:05,920
Speaker 9: of guys are scoping there, but a lot of guys

924
00:49:06,000 --> 00:49:07,640
Speaker 9: are fishing traditionally as well.

925
00:49:08,280 --> 00:49:12,319
Speaker 1: Man, I want to applaud whoever came up with the

926
00:49:12,360 --> 00:49:15,040
Speaker 1: idea of doing some days with and some days without

927
00:49:15,120 --> 00:49:19,239
Speaker 1: to be so fascinating just to compare the aggregate the

928
00:49:19,320 --> 00:49:25,399
Speaker 1: aggregate poundages taken on those days, that's an interesting little test, man.

929
00:49:28,880 --> 00:49:31,200
Speaker 1: All right, let me heet you with an opinion one

930
00:49:33,280 --> 00:49:36,600
Speaker 1: A way, I've always looked at things that the influence

931
00:49:36,719 --> 00:49:44,960
Speaker 1: efficacy is that we have a our resources occurr in

932
00:49:44,960 --> 00:49:49,759
Speaker 1: a limited pool, okay, and the way we allocate resources

933
00:49:50,120 --> 00:49:56,560
Speaker 1: is dependent on success rates, meaning just to put in

934
00:49:56,560 --> 00:49:59,960
Speaker 1: the simplest terms. Let's say you have I'm gonna put

935
00:50:00,160 --> 00:50:03,160
Speaker 1: in a I'm gonna put it in a big game term,

936
00:50:03,239 --> 00:50:05,400
Speaker 1: and I'm someone at the table hopefully can come up

937
00:50:05,400 --> 00:50:08,600
Speaker 1: with a fishing analogy and big game. Let's say you

938
00:50:08,640 --> 00:50:12,360
Speaker 1: have a unit of space. Okay, you have a However

939
00:50:12,400 --> 00:50:14,200
Speaker 1: you divide it up. You have a region or a

940
00:50:14,280 --> 00:50:15,840
Speaker 1: unit or a mountain range. Let's say you have a

941
00:50:15,840 --> 00:50:21,040
Speaker 1: mountain range and on this mountain range you have one

942
00:50:21,120 --> 00:50:26,479
Speaker 1: hundred elk. You've determined that you're gonna pursue a ten

943
00:50:26,520 --> 00:50:30,480
Speaker 1: percent harvest rate on those elk. So you're saying, we're

944
00:50:30,520 --> 00:50:32,680
Speaker 1: going to kill ten of those elk. We know that

945
00:50:32,719 --> 00:50:38,560
Speaker 1: our hunters traditionally have a ten percent success rate. Therefore,

946
00:50:38,800 --> 00:50:44,640
Speaker 1: we're gonna give one hundred individuals a hunting opportunity in

947
00:50:44,680 --> 00:50:47,560
Speaker 1: those mountains because we're going to wind up hitting our

948
00:50:47,640 --> 00:50:52,560
Speaker 1: harvest objective. If we look at this historic efficacy, then

949
00:50:52,640 --> 00:50:54,520
Speaker 1: let's say you were to go to that mountain range

950
00:50:54,520 --> 00:50:56,480
Speaker 1: and you say, we're gonna try something new this year. Boys,

951
00:50:57,800 --> 00:51:00,279
Speaker 1: we're going to give out one hundred tags. You can

952
00:51:00,360 --> 00:51:03,840
Speaker 1: hunt at night, you can spotlight, you can drone you

953
00:51:03,880 --> 00:51:10,000
Speaker 1: can thermal hunt, you can mount a firearm to a drone. Okay, unlimited.

954
00:51:11,200 --> 00:51:13,160
Speaker 1: We're going to make the season three hundred and sixty

955
00:51:13,160 --> 00:51:17,600
Speaker 1: five days long. Now you turn out that you have

956
00:51:17,800 --> 00:51:21,839
Speaker 1: a ninety success rate, ten percent of dudes don't show

957
00:51:21,880 --> 00:51:25,319
Speaker 1: up ninety percent success rate. The next year when you

958
00:51:25,400 --> 00:51:27,640
Speaker 1: issue tags, you're like, you know what, I think that

959
00:51:27,680 --> 00:51:30,880
Speaker 1: we're going to have to do this. We're going to

960
00:51:30,960 --> 00:51:35,960
Speaker 1: have to issue eleven tags, not one hundred, because efficacy

961
00:51:36,040 --> 00:51:38,480
Speaker 1: has shot through the roof. So now eleven people will

962
00:51:38,480 --> 00:51:41,760
Speaker 1: have an opportunity to participate as opposed to one hundred

963
00:51:41,800 --> 00:51:46,200
Speaker 1: people having an opportunity to participate. The question to each

964
00:51:46,239 --> 00:51:52,600
Speaker 1: of you is do you feel in fishing there could

965
00:51:52,640 --> 00:51:55,560
Speaker 1: be a similar situation at play where you're going to

966
00:51:55,600 --> 00:52:00,640
Speaker 1: feel you used to be able to keep five, but

967
00:52:00,680 --> 00:52:03,160
Speaker 1: no one really caught five. Now you can keep two

968
00:52:03,320 --> 00:52:06,680
Speaker 1: or whatever the hell do you picture? Or to put

969
00:52:06,680 --> 00:52:12,560
Speaker 1: it to an ethical question, it's two parts. Will this

970
00:52:12,880 --> 00:52:15,360
Speaker 1: could this become a thing in fishing? And would you

971
00:52:15,800 --> 00:52:19,759
Speaker 1: regard that as an acceptable cost of the of using

972
00:52:19,760 --> 00:52:23,520
Speaker 1: the technology? So will it happen? And would you support

973
00:52:23,520 --> 00:52:24,040
Speaker 1: it happening.

974
00:52:24,680 --> 00:52:25,840
Speaker 6: I'll let Jeremy go first.

975
00:52:27,320 --> 00:52:29,600
Speaker 2: Well, I think you hit on just a great point here.

976
00:52:29,640 --> 00:52:32,839
Speaker 2: So you know this is where in hunting, I mean,

977
00:52:32,880 --> 00:52:36,799
Speaker 2: you guys know the efficacy of a spear, of a

978
00:52:36,840 --> 00:52:38,839
Speaker 2: long bow, of a compound bowl, of a cross bowl,

979
00:52:38,840 --> 00:52:43,839
Speaker 2: of an open site rifle. So all these technologies obviously

980
00:52:44,239 --> 00:52:47,040
Speaker 2: can add to the efficiency of a harvest or you know,

981
00:52:47,040 --> 00:52:49,600
Speaker 2: a harvest opportunity or a catch in the case of fishing.

982
00:52:50,160 --> 00:52:53,400
Speaker 2: So we're asking the question right now in fishing that

983
00:52:53,560 --> 00:52:56,520
Speaker 2: kind of drives me nuts a little bit, like does

984
00:52:56,560 --> 00:52:59,880
Speaker 2: forward facing sonar impact catch traits? Like we have no

985
00:53:00,080 --> 00:53:02,080
Speaker 2: idea what the answer is, And of course the answer

986
00:53:02,160 --> 00:53:05,480
Speaker 2: is yes. But it's variable, right, It doesn't it doesn't

987
00:53:05,480 --> 00:53:08,560
Speaker 2: happen every time, but it can obviously, and it can

988
00:53:08,600 --> 00:53:11,520
Speaker 2: make a make a big impact. So we're gonna address this.

989
00:53:11,560 --> 00:53:13,120
Speaker 2: Sorry to get off track here, We're gonna address this

990
00:53:13,160 --> 00:53:14,960
Speaker 2: a little bit like we want to we want to

991
00:53:14,960 --> 00:53:16,759
Speaker 2: look at data, We want to look at science to

992
00:53:16,880 --> 00:53:19,759
Speaker 2: answer please answer this question right. So, and I'm not

993
00:53:20,000 --> 00:53:23,200
Speaker 2: at all against science, but I'm gonna just say that

994
00:53:23,640 --> 00:53:28,280
Speaker 2: the means in which technology is improving and the adoption

995
00:53:28,400 --> 00:53:33,360
Speaker 2: rate with anglers is happening is massively outpacing any regulatory

996
00:53:33,440 --> 00:53:35,680
Speaker 2: processes that can happen, the way we collect data, the

997
00:53:35,680 --> 00:53:38,799
Speaker 2: way we analyze data, the way we implement what we

998
00:53:38,960 --> 00:53:42,000
Speaker 2: learn from that data. So, like a good example in Minnesota,

999
00:53:42,000 --> 00:53:45,279
Speaker 2: I've got a buddy who's on this bluegill committee. Right,

1000
00:53:45,680 --> 00:53:49,359
Speaker 2: So for like ten years, they're even longer than they've

1001
00:53:49,400 --> 00:53:51,480
Speaker 2: met saying they're like, hey, you know, we're losing the

1002
00:53:51,480 --> 00:53:54,680
Speaker 2: big bluegills in Minnesota. This is far before forward facing

1003
00:53:54,760 --> 00:53:56,839
Speaker 2: so or even side imaging, right, just the big blue

1004
00:53:56,880 --> 00:54:00,279
Speaker 2: gills are disappearing, they're being harvested. We want to tech

1005
00:54:00,320 --> 00:54:02,280
Speaker 2: the big blue gills. We want to have a quality

1006
00:54:02,280 --> 00:54:04,880
Speaker 2: bluegill fishery in this state. So they talk about it

1007
00:54:04,880 --> 00:54:08,000
Speaker 2: for ten years. Clearly the best solution is to not

1008
00:54:08,160 --> 00:54:10,880
Speaker 2: harvest the big bluegills, just keep the big ones in

1009
00:54:10,920 --> 00:54:15,160
Speaker 2: the system, keeps recruitment low, all these great benefits to it.

1010
00:54:15,239 --> 00:54:18,200
Speaker 1: So which would which is complicated because you're introducing the

1011
00:54:18,239 --> 00:54:19,879
Speaker 1: idea of a bluegill slot limit?

1012
00:54:19,960 --> 00:54:22,400
Speaker 2: Okay, right, yes exactly. Let me let me get to

1013
00:54:22,400 --> 00:54:24,920
Speaker 2: why this is so complicated. So this is clearly the

1014
00:54:25,160 --> 00:54:28,719
Speaker 2: you know, that's that's the answer. So they talk about

1015
00:54:28,719 --> 00:54:30,560
Speaker 2: it for years. Eventually they come up with the idea

1016
00:54:30,560 --> 00:54:32,160
Speaker 2: that you know what we're gonna do. We're gonna take

1017
00:54:32,160 --> 00:54:35,319
Speaker 2: some likes and we're just gonna keep less. Well that's

1018
00:54:35,360 --> 00:54:39,000
Speaker 2: not the answer. The answer is don't keep the big ones. Right,

1019
00:54:39,320 --> 00:54:41,640
Speaker 2: So now in five years now, and they're gonna take

1020
00:54:41,640 --> 00:54:43,920
Speaker 2: ten years to assess that to see what the impact

1021
00:54:43,960 --> 00:54:46,680
Speaker 2: was and a reduce bag. And now they're talking about

1022
00:54:46,760 --> 00:54:48,960
Speaker 2: once that's up, we're gonna look at doing like a

1023
00:54:49,040 --> 00:54:52,200
Speaker 2: nine inch you know, maximum size harvest. So this is

1024
00:54:52,200 --> 00:54:55,040
Speaker 2: going to be like a twenty five year process to

1025
00:54:55,160 --> 00:54:57,759
Speaker 2: use this science to identify, like look back twenty five

1026
00:54:57,840 --> 00:55:00,480
Speaker 2: years where we're at. So I'm not saying that science

1027
00:55:00,480 --> 00:55:02,239
Speaker 2: isn't wrong, we shouldn't look at it, we shouldn't use it.

1028
00:55:02,239 --> 00:55:04,600
Speaker 2: I'm just saying we also need to look at how

1029
00:55:04,640 --> 00:55:07,279
Speaker 2: this is a social science issue as well. But like

1030
00:55:07,600 --> 00:55:10,720
Speaker 2: there's just some places or people who don't maybe want

1031
00:55:10,760 --> 00:55:13,919
Speaker 2: this type of technology or as much advanced technology coming

1032
00:55:13,920 --> 00:55:16,640
Speaker 2: into certain areas of the sport. So it's a it's

1033
00:55:16,640 --> 00:55:19,719
Speaker 2: not a you can't have live scope, no more live

1034
00:55:19,760 --> 00:55:21,759
Speaker 2: scope for anybody you know, or you can't have it,

1035
00:55:21,800 --> 00:55:24,799
Speaker 2: But like we've got a lot of opportunities to experience,

1036
00:55:25,120 --> 00:55:27,640
Speaker 2: experiment with different resources where we could use it, when

1037
00:55:27,680 --> 00:55:30,200
Speaker 2: we could use it special regulate. We've got all these

1038
00:55:30,239 --> 00:55:32,959
Speaker 2: opportunities that I think we really need to be looking

1039
00:55:33,000 --> 00:55:37,480
Speaker 2: at more, starting with a social component, you know, saying, Okay,

1040
00:55:37,560 --> 00:55:40,080
Speaker 2: we know we've got groups of anglers. Let's listen to anglers.

1041
00:55:40,120 --> 00:55:43,160
Speaker 2: Let's try to manage for what the user's expectations are

1042
00:55:43,200 --> 00:55:46,560
Speaker 2: and want as we work on the science in the background.

1043
00:55:46,600 --> 00:55:51,840
Speaker 5: So, has there been any like knee jerk regulatory actions

1044
00:55:51,960 --> 00:55:53,640
Speaker 5: taken like anywhere yet?

1045
00:55:53,960 --> 00:55:54,120
Speaker 1: Well?

1046
00:55:54,160 --> 00:55:56,799
Speaker 2: Montana said no, rattlefish naggling, right, yeah, and.

1047
00:55:57,080 --> 00:56:01,120
Speaker 9: A few states have lowered you know, catch limits, but

1048
00:56:01,200 --> 00:56:03,840
Speaker 9: that's really harvest limits.

1049
00:56:03,920 --> 00:56:05,920
Speaker 6: Yeah, yeah, that's really about it.

1050
00:56:05,920 --> 00:56:07,120
Speaker 1: Could you got to answer my question?

1051
00:56:07,560 --> 00:56:08,560
Speaker 2: Okay, what was the question?

1052
00:56:08,600 --> 00:56:08,719
Speaker 1: Now?

1053
00:56:08,719 --> 00:56:09,600
Speaker 2: I went in a tangent.

1054
00:56:10,360 --> 00:56:17,759
Speaker 1: Uh, do you feel or whatever you have for any

1055
00:56:17,880 --> 00:56:20,520
Speaker 1: kind of survey data or anything like that, do you

1056
00:56:20,680 --> 00:56:27,799
Speaker 1: feel that in some fisheries live scope could lead to

1057
00:56:29,600 --> 00:56:32,920
Speaker 1: could lead to adjustments in the regulatory structure. The second

1058
00:56:32,920 --> 00:56:35,239
Speaker 1: part of the question is would you feel that that

1059
00:56:35,360 --> 00:56:37,919
Speaker 1: would uh is that acceptable? Yeah?

1060
00:56:37,960 --> 00:56:40,360
Speaker 2: And it already has right, like an harvest species like

1061
00:56:40,360 --> 00:56:43,719
Speaker 2: Mississippi lowered croppy rates on their Big four down there

1062
00:56:43,719 --> 00:56:47,360
Speaker 2: and they attributed that to live scoping, so it's.

1063
00:56:47,239 --> 00:56:51,080
Speaker 1: Already articulated that that was a response to that. Yes,

1064
00:56:51,120 --> 00:56:52,760
Speaker 1: the dudes are tearing it up on croppies.

1065
00:56:52,840 --> 00:56:59,279
Speaker 2: Yes, so that is already already happening. And then paddlefish, Yep, yep, paddlefish,

1066
00:56:59,280 --> 00:56:59,720
Speaker 2: that's happened.

1067
00:56:59,800 --> 00:57:02,960
Speaker 1: Well, that was different. Like for Montana to say you

1068
00:57:02,960 --> 00:57:05,880
Speaker 1: can't use it to snag paddlefish is the opposite, not

1069
00:57:05,920 --> 00:57:09,719
Speaker 1: the opposite. It's like, Okay, the technology is coming. We

1070
00:57:09,760 --> 00:57:13,880
Speaker 1: either limit the technology or we say it's coming. Everybody's

1071
00:57:13,920 --> 00:57:18,080
Speaker 1: a better fisherman now. You can't keep as many fish, right,

1072
00:57:18,120 --> 00:57:23,000
Speaker 1: You're all better now. So now we're going to lower

1073
00:57:23,040 --> 00:57:26,000
Speaker 1: the potential impact by going after bag limits, going after

1074
00:57:26,040 --> 00:57:28,800
Speaker 1: seasons in order to accommodate the technology. So that'd be

1075
00:57:28,840 --> 00:57:33,400
Speaker 1: another way of putting the question, is you feel that

1076
00:57:33,440 --> 00:57:36,800
Speaker 1: it could lead to a reduction in the resource. And

1077
00:57:38,240 --> 00:57:42,480
Speaker 1: when you look at a state agency coming in and saying, Okay,

1078
00:57:42,600 --> 00:57:46,840
Speaker 1: it's here, we're going to lower bag limits, do you

1079
00:57:46,920 --> 00:57:51,000
Speaker 1: like that's an approach orders the approach of it's here,

1080
00:57:51,520 --> 00:57:53,320
Speaker 1: we don't want to lower bag limits, so we need

1081
00:57:53,360 --> 00:57:54,240
Speaker 1: to make it not be here.

1082
00:57:55,440 --> 00:57:57,120
Speaker 2: Yeah, And I think it can be you can look

1083
00:57:57,120 --> 00:57:59,440
Speaker 2: at it different ways. It can still be here but

1084
00:57:59,520 --> 00:58:01,880
Speaker 2: maybe used during certain timeframes.

1085
00:58:01,960 --> 00:58:02,160
Speaker 1: Right.

1086
00:58:02,240 --> 00:58:05,360
Speaker 2: So I mean it's back to this whole how efficient

1087
00:58:05,520 --> 00:58:06,400
Speaker 2: is your effort?

1088
00:58:06,680 --> 00:58:06,840
Speaker 1: Right?

1089
00:58:06,920 --> 00:58:10,520
Speaker 2: How efficient is the angling effort? So I think it's

1090
00:58:11,240 --> 00:58:13,920
Speaker 2: I think we should ask users what they want they

1091
00:58:14,000 --> 00:58:17,080
Speaker 2: how much do they value the technology over the experience

1092
00:58:17,120 --> 00:58:19,360
Speaker 2: of catching fish. Would you rather be able to use

1093
00:58:19,360 --> 00:58:21,960
Speaker 2: this technology and be able to catch whatever you can

1094
00:58:22,000 --> 00:58:24,520
Speaker 2: catch in a certain window of time, right, or would

1095
00:58:24,560 --> 00:58:26,200
Speaker 2: you just say, you know what, we want this experience

1096
00:58:26,200 --> 00:58:29,760
Speaker 2: to last longer, and therefore we want to limit technology.

1097
00:58:29,800 --> 00:58:31,880
Speaker 2: So I think that's that social component that I think

1098
00:58:31,880 --> 00:58:34,720
Speaker 2: we need to understand as much as as much as anything,

1099
00:58:34,720 --> 00:58:40,800
Speaker 2: because to say that this technology won't impact opportunity or

1100
00:58:40,840 --> 00:58:43,120
Speaker 2: catch rates just you know, to try to understand what

1101
00:58:43,160 --> 00:58:45,200
Speaker 2: that is. I think we already know what the answer us.

1102
00:58:45,920 --> 00:58:51,520
Speaker 5: From an enforcement perspective, the reduced bag limit approach seems

1103
00:58:51,520 --> 00:58:56,240
Speaker 5: a lot easier than have an award going around checking

1104
00:58:56,400 --> 00:59:01,320
Speaker 5: every boat. See if they got a live scope transducer. Yeah,

1105
00:59:01,360 --> 00:59:03,080
Speaker 5: that seems like a nightmare.

1106
00:59:03,520 --> 00:59:06,200
Speaker 4: Yeah if they if they did. Instead of getting rid

1107
00:59:06,200 --> 00:59:11,080
Speaker 4: of like basically saying you can't you can only keep

1108
00:59:11,120 --> 00:59:15,160
Speaker 4: two wall eyes and use live scope year round or

1109
00:59:15,160 --> 00:59:19,880
Speaker 4: whatever rather than like just getting rid of it all

1110
00:59:19,880 --> 00:59:22,400
Speaker 4: together and keeping that bag limit bigger.

1111
00:59:22,480 --> 00:59:24,000
Speaker 2: Well, and we've got plenty of people in here who

1112
00:59:24,040 --> 00:59:26,080
Speaker 2: don't have the technology, So is that fair to you?

1113
00:59:26,080 --> 00:59:29,480
Speaker 2: You don't have the technology, so now you could keep six.

1114
00:59:29,520 --> 00:59:32,320
Speaker 1: But now because it get you want to give Danny

1115
00:59:32,320 --> 00:59:33,120
Speaker 1: a turn to respond.

1116
00:59:35,040 --> 00:59:37,919
Speaker 5: That's a good question.

1117
00:59:38,000 --> 00:59:42,160
Speaker 1: No, I'd like everyone around the table like, Okay, I

1118
00:59:42,200 --> 00:59:44,480
Speaker 1: had a meandery. I wanted to give Danny a chance

1119
00:59:44,520 --> 00:59:48,120
Speaker 1: to respond to the question, which is being is the

1120
00:59:48,200 --> 00:59:52,480
Speaker 1: answer to regulate around it? Will that even be necessary?

1121
00:59:52,680 --> 00:59:57,880
Speaker 1: Or is the answer to uh, stop the technology? I mean?

1122
00:59:58,160 --> 01:00:00,120
Speaker 9: And this this is like I said, this is or

1123
01:00:00,240 --> 01:00:04,440
Speaker 9: it's difficult, right, So everybody's idea on what to do

1124
01:00:04,480 --> 01:00:06,960
Speaker 9: with it is going to be so different. And the

1125
01:00:07,000 --> 01:00:09,200
Speaker 9: hard part, and we talk about this quite a bit,

1126
01:00:09,440 --> 01:00:12,760
Speaker 9: is a lot of times it's that top ten percent

1127
01:00:13,280 --> 01:00:16,120
Speaker 9: of the anglers that are doing all the catching, all

1128
01:00:16,160 --> 01:00:17,760
Speaker 9: the keeping a lot.

1129
01:00:17,600 --> 01:00:18,160
Speaker 1: Of time things.

1130
01:00:18,920 --> 01:00:22,760
Speaker 9: Yeah, and so it's it's hard because you know, we're

1131
01:00:23,000 --> 01:00:25,520
Speaker 9: making all we want to make all the regulation on that.

1132
01:00:25,720 --> 01:00:28,280
Speaker 9: And then also, like I said earlier, we don't want

1133
01:00:28,280 --> 01:00:31,600
Speaker 9: to make regulation based on an emotion and so like

1134
01:00:31,760 --> 01:00:33,680
Speaker 9: in the panel, for example, we had a lot of

1135
01:00:33,720 --> 01:00:37,640
Speaker 9: guys that were very anti you know, against live scope

1136
01:00:37,680 --> 01:00:40,040
Speaker 9: and whatnot. But they've never used it and they don't

1137
01:00:40,040 --> 01:00:42,880
Speaker 9: really know, you know, the implements of it other than

1138
01:00:42,920 --> 01:00:45,920
Speaker 9: what they've maybe heard, you know. And then there's some

1139
01:00:46,120 --> 01:00:49,040
Speaker 9: media out there that's kind of like, you know, just

1140
01:00:49,120 --> 01:00:52,080
Speaker 9: putting taglines out there, headlines out there to get clicks.

1141
01:00:52,680 --> 01:00:55,880
Speaker 9: But then it's not necessarily like they're almost pitying it

1142
01:00:55,920 --> 01:00:59,080
Speaker 9: as the bad guy. Well you know, like I say,

1143
01:00:59,080 --> 01:01:01,680
Speaker 9: if if you're gonna go out and catch you know,

1144
01:01:02,080 --> 01:01:04,439
Speaker 9: ten muskies in a day, like you're the bad guy.

1145
01:01:05,080 --> 01:01:08,760
Speaker 9: Not necessarily the technology, right, So why why do we

1146
01:01:08,840 --> 01:01:12,280
Speaker 9: need to limit a great resource where I can learn

1147
01:01:12,280 --> 01:01:14,240
Speaker 9: about the fish, I can learn about the fishery, I

1148
01:01:14,240 --> 01:01:17,440
Speaker 9: can see what's on the bottom and and use it

1149
01:01:17,560 --> 01:01:21,640
Speaker 9: you know, respectfully or ethically whatever that means, versus a

1150
01:01:21,640 --> 01:01:24,240
Speaker 9: guy who's going out there and he's not you know.

1151
01:01:24,320 --> 01:01:26,920
Speaker 9: So And in a lot of times, especially in muskie fishing,

1152
01:01:26,920 --> 01:01:28,520
Speaker 9: a lot of a lot of it's like the guides,

1153
01:01:28,520 --> 01:01:31,760
Speaker 9: Like there's some guides so State of Minnesota prime example,

1154
01:01:31,880 --> 01:01:35,000
Speaker 9: Like you can go out put an ad on Facebook

1155
01:01:35,040 --> 01:01:39,560
Speaker 9: marketplace and say hey, I'm a musky guide and no license,

1156
01:01:39,720 --> 01:01:43,280
Speaker 9: no training, no nothing, and go out and target ten

1157
01:01:43,360 --> 01:01:46,080
Speaker 9: muskies every single day to make your money.

1158
01:01:46,280 --> 01:01:51,760
Speaker 1: There's no resource, no licensing or process on that unregulated,

1159
01:01:52,680 --> 01:01:54,120
Speaker 1: not even like insurance requirements.

1160
01:01:54,560 --> 01:01:55,400
Speaker 2: I'm sure there is that.

1161
01:01:55,840 --> 01:01:59,040
Speaker 1: Yeah, but any any any you could become I could

1162
01:01:59,120 --> 01:02:01,080
Speaker 1: go there tomorrow. Yeah, got it.

1163
01:02:01,120 --> 01:02:03,520
Speaker 3: But you only need like captain's licenses or anything.

1164
01:02:03,720 --> 01:02:04,480
Speaker 2: Too great length.

1165
01:02:06,160 --> 01:02:07,600
Speaker 9: So like you know, you know what I mean, Like

1166
01:02:07,760 --> 01:02:10,200
Speaker 9: there's a lot, there's a lot to this. It's it's

1167
01:02:10,240 --> 01:02:12,440
Speaker 9: it's the death of a thousand cuts. Again, it's not

1168
01:02:13,280 --> 01:02:17,040
Speaker 9: like every single person going out there is catching all

1169
01:02:17,040 --> 01:02:19,640
Speaker 9: these fish and causing the problem. It's kind of that

1170
01:02:19,720 --> 01:02:23,400
Speaker 9: top tier. It's certain small groups, you know, that's all

1171
01:02:23,440 --> 01:02:26,640
Speaker 9: sort of leading to something, and that's where like if

1172
01:02:26,760 --> 01:02:29,600
Speaker 9: regulation is needed, then then that's the avenue. Maybe we

1173
01:02:29,720 --> 01:02:32,320
Speaker 9: go down, but we want to do that with like

1174
01:02:32,480 --> 01:02:37,800
Speaker 9: a good science based or some actual factual information versus

1175
01:02:37,960 --> 01:02:40,560
Speaker 9: going on in motion or going on what small select

1176
01:02:40,560 --> 01:02:42,760
Speaker 9: groups are doing. We want to make sure we're making

1177
01:02:42,800 --> 01:02:45,800
Speaker 9: these decisions, we're actually making a smart decision.

1178
01:02:46,400 --> 01:02:51,240
Speaker 1: You know, it's pretty funny. Our colleague Ryan Callahan. We

1179
01:02:51,280 --> 01:02:54,400
Speaker 1: were one day talking about technology and specific we were

1180
01:02:54,400 --> 01:02:58,040
Speaker 1: talking about putting the camera down through the ice to

1181
01:02:58,080 --> 01:03:01,160
Speaker 1: watch fish, and he was talk about the emotional side

1182
01:03:01,360 --> 01:03:05,880
Speaker 1: of how you perceive it. Like you're saying, like guys

1183
01:03:05,880 --> 01:03:08,040
Speaker 1: that are against it, they don't really know what it is,

1184
01:03:08,240 --> 01:03:10,520
Speaker 1: they've never seen it, they haven't seen any data, but

1185
01:03:10,520 --> 01:03:13,280
Speaker 1: they're just against it. Cal was talking about this feeling

1186
01:03:13,320 --> 01:03:15,080
Speaker 1: of like, if you're ice fishing, you could be catching

1187
01:03:15,120 --> 01:03:18,360
Speaker 1: fish and having a good time. A guy comes and

1188
01:03:18,400 --> 01:03:20,960
Speaker 1: drills a hole near you and lowers a camera down

1189
01:03:21,000 --> 01:03:22,840
Speaker 1: and cows as you get this feeling like we're fuck

1190
01:03:22,920 --> 01:03:29,400
Speaker 1: now ye all of a sudden, it's like less fun.

1191
01:03:29,640 --> 01:03:31,760
Speaker 1: You know, you you thought you were having a great time,

1192
01:03:31,800 --> 01:03:32,400
Speaker 1: but now you're not.

1193
01:03:33,160 --> 01:03:35,600
Speaker 6: But that feeds in exactly to what I'm saying.

1194
01:03:35,680 --> 01:03:38,560
Speaker 9: Right, So I might sell live scopes to one hundred

1195
01:03:38,560 --> 01:03:41,480
Speaker 9: people at a sports show one weekend, right, but ten

1196
01:03:41,520 --> 01:03:42,840
Speaker 9: of them are going to know how to use it,

1197
01:03:43,560 --> 01:03:45,720
Speaker 9: you know, Like you can have all the technology, you

1198
01:03:45,760 --> 01:03:50,240
Speaker 9: can have the greatest rifle and hunting gear, but you're

1199
01:03:50,280 --> 01:03:52,120
Speaker 9: not always going to shoot that deer, right, Like, So

1200
01:03:52,760 --> 01:03:55,480
Speaker 9: obviously it's a tool that helps, but it's not the

1201
01:03:55,600 --> 01:03:57,880
Speaker 9: end all be all like people like it's made out.

1202
01:03:57,760 --> 01:04:01,280
Speaker 1: To be all right. People wanted a chance to weigh

1203
01:04:01,280 --> 01:04:03,160
Speaker 1: in on it. So I just want to clarify a

1204
01:04:03,200 --> 01:04:07,000
Speaker 1: question because it's a complicated question. Well we could, we

1205
01:04:07,080 --> 01:04:10,520
Speaker 1: could forfeit the idea that it's going to impact harvest.

1206
01:04:11,240 --> 01:04:13,680
Speaker 1: I think everybody here is acknowledged it's very effective for fishing.

1207
01:04:13,880 --> 01:04:17,080
Speaker 1: So let's just accept that it's going to impact harvest,

1208
01:04:18,280 --> 01:04:24,439
Speaker 1: if you will clarify this and put it. Everybody needs

1209
01:04:24,440 --> 01:04:26,120
Speaker 1: to imagine a lake they.

1210
01:04:26,040 --> 01:04:26,720
Speaker 5: Like to fish.

1211
01:04:27,320 --> 01:04:30,160
Speaker 1: Okay, there's a lake you like to fish, your favorite

1212
01:04:30,160 --> 01:04:33,120
Speaker 1: fishing spot, and they come to you and say, okay,

1213
01:04:33,160 --> 01:04:36,560
Speaker 1: we can do two things. We're either going to lower

1214
01:04:36,600 --> 01:04:40,160
Speaker 1: bag limits and shorten the season and keep live scope,

1215
01:04:41,280 --> 01:04:43,520
Speaker 1: or we're going to ditch live scope and keep the

1216
01:04:43,560 --> 01:04:47,040
Speaker 1: regulatory structure the same. So it's come down to you.

1217
01:04:47,040 --> 01:04:48,520
Speaker 1: Don't you Danny doesn't like this? Go ahead?

1218
01:04:48,680 --> 01:04:52,760
Speaker 9: No, No, I like the question, but like once again,

1219
01:04:52,840 --> 01:04:56,280
Speaker 9: it just it feeds into like, no two people are

1220
01:04:56,280 --> 01:04:58,480
Speaker 9: the same, right, Like I like to hunt white tails

1221
01:04:58,480 --> 01:05:01,000
Speaker 9: on private land out of a deer stand that I

1222
01:05:01,000 --> 01:05:05,160
Speaker 9: already hung. Tony likes to go to public land, and

1223
01:05:05,480 --> 01:05:07,400
Speaker 9: you know, hope something's there?

1224
01:05:07,480 --> 01:05:07,680
Speaker 3: Right?

1225
01:05:07,840 --> 01:05:10,040
Speaker 1: Do you feel the question is not a good no?

1226
01:05:10,080 --> 01:05:12,360
Speaker 4: I could give an example on the fishing side of things,

1227
01:05:12,880 --> 01:05:15,480
Speaker 4: like I like to go to four peck and target

1228
01:05:15,880 --> 01:05:17,439
Speaker 4: big walleye and I'm never going.

1229
01:05:17,360 --> 01:05:17,880
Speaker 2: To keep them.

1230
01:05:18,000 --> 01:05:23,000
Speaker 4: Okay, I would love to use live scope doing that. Okay, exactly,

1231
01:05:23,200 --> 01:05:26,320
Speaker 4: I love but that's not answer my question. But what's

1232
01:05:27,040 --> 01:05:29,520
Speaker 4: I don't like to go to for peck and keep

1233
01:05:29,520 --> 01:05:33,000
Speaker 4: a limit of walleyes. You know he's not targeting big fish.

1234
01:05:33,040 --> 01:05:33,600
Speaker 4: He just wants to.

1235
01:05:34,280 --> 01:05:36,480
Speaker 5: Yeah, Like in my case, I'm looking for a limit,

1236
01:05:36,840 --> 01:05:41,720
Speaker 5: so like i'd be like, we're out the lake I'm

1237
01:05:41,760 --> 01:05:44,200
Speaker 5: thinking of I don't need the forward facing keep the

1238
01:05:44,240 --> 01:05:45,000
Speaker 5: limits the same.

1239
01:05:45,400 --> 01:05:48,120
Speaker 1: That's where you were you were putting this. What's a

1240
01:05:48,200 --> 01:05:53,800
Speaker 1: Faulstian decision? I don't know. Isn't that a thing?

1241
01:05:55,680 --> 01:05:56,000
Speaker 2: All right?

1242
01:05:57,080 --> 01:05:58,840
Speaker 1: Okay, so you don't have to answer. You could do

1243
01:05:58,960 --> 01:06:01,840
Speaker 1: like Seth and have some like some kind of waffle

1244
01:06:04,080 --> 01:06:06,440
Speaker 1: he doesn't like, Like Danny like the question, sat there

1245
01:06:06,440 --> 01:06:08,360
Speaker 1: and answer the question, Tony, do you what do you

1246
01:06:08,360 --> 01:06:10,760
Speaker 1: think about the question? Do you know this?

1247
01:06:10,760 --> 01:06:14,760
Speaker 8: This has almost given me PTSD because this feels just

1248
01:06:14,960 --> 01:06:17,640
Speaker 8: like the crossbow debate in the White Tail world. Okay,

1249
01:06:18,160 --> 01:06:19,840
Speaker 8: and I actually I mean I look at forward facing

1250
01:06:19,880 --> 01:06:22,680
Speaker 8: so and are kind of like we're almost going from

1251
01:06:22,720 --> 01:06:24,200
Speaker 8: traditional bows to crossbows.

1252
01:06:24,640 --> 01:06:25,520
Speaker 1: People are scared of it.

1253
01:06:25,560 --> 01:06:30,760
Speaker 8: People don't know, you know. To Jeremy's point, you're like, okay,

1254
01:06:30,760 --> 01:06:32,920
Speaker 8: well we're gonna we have a social aspect where a

1255
01:06:32,960 --> 01:06:34,400
Speaker 8: lot of people are like, I do not want this

1256
01:06:34,440 --> 01:06:37,160
Speaker 8: because this is going to change the game and on

1257
01:06:37,160 --> 01:06:39,560
Speaker 8: on a broad level with the average user, which is

1258
01:06:39,640 --> 01:06:44,080
Speaker 8: kind of undeniable, right, But you also have what actually

1259
01:06:44,160 --> 01:06:46,760
Speaker 8: is the impact on the resource, and so what you're

1260
01:06:46,760 --> 01:06:50,080
Speaker 8: talking about is like the science. To get the science,

1261
01:06:50,120 --> 01:06:53,800
Speaker 8: we always have to go retro right, Like either that

1262
01:06:53,920 --> 01:06:55,600
Speaker 8: or you just ban it and go we're just gonna

1263
01:06:55,640 --> 01:06:57,600
Speaker 8: be proactive and it's gone. But we don't live in

1264
01:06:57,600 --> 01:06:58,320
Speaker 8: that world right now.

1265
01:06:58,360 --> 01:07:02,120
Speaker 1: Well, now, the drone situation was that world. There was

1266
01:07:02,280 --> 01:07:04,400
Speaker 1: the minute there was like a whisper of private jont

1267
01:07:04,480 --> 01:07:05,920
Speaker 1: drone use. I always remember it was kind of one

1268
01:07:05,960 --> 01:07:09,200
Speaker 1: of the more interesting wildlife management moments of my lifetime.

1269
01:07:09,880 --> 01:07:17,360
Speaker 1: Thirteen states, I mean, in one year, thirteen states banned

1270
01:07:17,440 --> 01:07:22,000
Speaker 1: drones for hunting use. Western states and also some states

1271
01:07:22,040 --> 01:07:25,480
Speaker 1: that are not hippie dippy anti hunting states.

1272
01:07:25,480 --> 01:07:28,960
Speaker 5: Like some hard hitting Wyoming was one of the some hard.

1273
01:07:28,800 --> 01:07:38,200
Speaker 1: Hitting conservative pro consumptive use states Alaska right like pro

1274
01:07:38,520 --> 01:07:41,360
Speaker 1: not just like looking for any reason to screw with hunters.

1275
01:07:41,640 --> 01:07:47,320
Speaker 1: Some some like heavy forward thinking game management consumptive use

1276
01:07:47,360 --> 01:07:53,400
Speaker 1: states right wing leadership right out of the gate right,

1277
01:07:54,080 --> 01:07:57,200
Speaker 1: and that's no one had. No one waited to be like, well,

1278
01:07:57,240 --> 01:08:00,880
Speaker 1: let's wait and see for ten years if efficas rates changed.

1279
01:08:00,920 --> 01:08:02,520
Speaker 1: They just knew they.

1280
01:08:02,440 --> 01:08:03,200
Speaker 3: Did it well.

1281
01:08:03,240 --> 01:08:05,720
Speaker 8: And I mean, I think the only Devil's advocate I'd

1282
01:08:05,720 --> 01:08:07,959
Speaker 8: play there is it's like a it's a different beast

1283
01:08:08,040 --> 01:08:12,240
Speaker 8: managing elk versus how many croppies are in Minnesota. Right,

1284
01:08:13,440 --> 01:08:15,960
Speaker 8: So I mean it's a fair point. But I look

1285
01:08:16,000 --> 01:08:20,120
Speaker 8: at it and go, maybe this is a weird perspective,

1286
01:08:20,160 --> 01:08:23,519
Speaker 8: but everything that makes it easier. A lot of these

1287
01:08:23,520 --> 01:08:26,280
Speaker 8: guys who are like, no way, I don't want that.

1288
01:08:26,479 --> 01:08:28,559
Speaker 8: I don't want crossbows. I don't want a bait deer.

1289
01:08:29,200 --> 01:08:31,080
Speaker 8: I take it right down the line. I don't want

1290
01:08:31,080 --> 01:08:35,000
Speaker 8: to sell cameras. The adoption rate when that stuff becomes

1291
01:08:35,040 --> 01:08:38,320
Speaker 8: a little more affordable, a little more ubiquitous across the

1292
01:08:38,400 --> 01:08:41,880
Speaker 8: hunting population. These people who are against this stuff, they

1293
01:08:41,880 --> 01:08:45,080
Speaker 8: don't understand often end up on the side of using it.

1294
01:08:45,520 --> 01:08:49,719
Speaker 8: Because so if live scope was one hundred and fifty

1295
01:08:49,760 --> 01:08:51,400
Speaker 8: bucks and it took you five minutes to mount on

1296
01:08:51,439 --> 01:08:54,320
Speaker 8: your boat, all these guys would have it, right.

1297
01:08:54,600 --> 01:08:57,200
Speaker 1: I think those are haves and have nots components. Well,

1298
01:08:57,280 --> 01:08:58,000
Speaker 1: there isn't.

1299
01:08:58,000 --> 01:09:02,439
Speaker 8: There's just a component of not people not being familiar

1300
01:09:02,439 --> 01:09:04,479
Speaker 8: with it and like hearing about you know, and so

1301
01:09:05,240 --> 01:09:07,840
Speaker 8: that I think you have to play in the world

1302
01:09:07,840 --> 01:09:11,320
Speaker 8: of going, Okay, this stuff exists, it's legal right now,

1303
01:09:12,000 --> 01:09:15,639
Speaker 8: and it will be adopted by people who are against

1304
01:09:15,680 --> 01:09:17,760
Speaker 8: it if it comes to that. So kind of to

1305
01:09:17,840 --> 01:09:20,720
Speaker 8: your drone point, like if you believe that, and I do,

1306
01:09:21,040 --> 01:09:22,760
Speaker 8: then you would have to make that decision. Do we

1307
01:09:22,920 --> 01:09:26,880
Speaker 8: proactively go no? And I'm not on that side yet.

1308
01:09:27,320 --> 01:09:29,559
Speaker 8: I just I feel like it's coming and it's going

1309
01:09:29,640 --> 01:09:32,320
Speaker 8: to be it's going to change regulations.

1310
01:09:32,880 --> 01:09:35,519
Speaker 1: I think that I've mentioned this drone thing a couple times,

1311
01:09:35,520 --> 01:09:37,840
Speaker 1: but out of fairness, I need to acknowledge that these

1312
01:09:37,840 --> 01:09:41,800
Speaker 1: are not analogous, right, Like, like you could look at

1313
01:09:41,840 --> 01:09:47,360
Speaker 1: sonar as being an evolution of sonar. We agreed what

1314
01:09:47,479 --> 01:09:49,880
Speaker 1: it was in the seventies and somehow we were on

1315
01:09:49,960 --> 01:09:55,240
Speaker 1: a trajectory of not regulating sonar and then sonar. This

1316
01:09:55,280 --> 01:09:58,840
Speaker 1: isn't the answer. I'm saying, like sonar advanced. What made

1317
01:09:58,880 --> 01:10:02,640
Speaker 1: the drone thing? What makes it imperfect as an analogy,

1318
01:10:02,880 --> 01:10:06,960
Speaker 1: is it really was sort of this brand new, all

1319
01:10:07,160 --> 01:10:14,280
Speaker 1: together new concept. Right. It was like if there had

1320
01:10:14,280 --> 01:10:19,320
Speaker 1: been some other like the drones at first had extremely

1321
01:10:19,400 --> 01:10:24,360
Speaker 1: limited capabilities and you couldn't really picture where it would lead, right, Right,

1322
01:10:25,920 --> 01:10:27,439
Speaker 1: it might have had a different path, but it was

1323
01:10:27,479 --> 01:10:30,360
Speaker 1: sort of like it emerged as an altogether new thing

1324
01:10:31,680 --> 01:10:34,439
Speaker 1: and was sort of you had an opportunity to like

1325
01:10:34,520 --> 01:10:38,120
Speaker 1: say yes or no, right in a way that perhaps

1326
01:10:38,640 --> 01:10:45,080
Speaker 1: even like cameras, the gradual increase and efficacy of cameras,

1327
01:10:45,080 --> 01:10:47,759
Speaker 1: and then they kind of became that it was cellular cameras.

1328
01:10:47,840 --> 01:10:48,000
Speaker 5: Right.

1329
01:10:48,360 --> 01:10:52,479
Speaker 1: There was never a real clear inflection point, right, I

1330
01:10:52,520 --> 01:10:53,240
Speaker 1: would say.

1331
01:10:53,080 --> 01:10:55,880
Speaker 8: That was a big lead. Yeah, And the closest thing

1332
01:10:55,920 --> 01:10:57,800
Speaker 8: would be scouting from an airplane.

1333
01:10:57,439 --> 01:11:00,439
Speaker 1: Which they had already haggled about, right, right, that's a

1334
01:11:00,439 --> 01:11:03,000
Speaker 1: good point. They had haggled about airplane use, and it

1335
01:11:03,120 --> 01:11:07,960
Speaker 1: already said if you fly, you can't hunt that day.

1336
01:11:08,160 --> 01:11:09,800
Speaker 1: Let me hit Can I hit you? Guys? Another question

1337
01:11:10,400 --> 01:11:12,080
Speaker 1: I want to set up with an observation of my

1338
01:11:12,120 --> 01:11:18,120
Speaker 1: own very similar bit of technology. When I started fishing

1339
01:11:18,240 --> 01:11:24,639
Speaker 1: in Southeast Alaska, we would fish off charts like as

1340
01:11:24,640 --> 01:11:27,200
Speaker 1: close as you can get to no detail. Just it's

1341
01:11:27,240 --> 01:11:32,040
Speaker 1: like it's like an open ocean portrayed on the chart,

1342
01:11:32,120 --> 01:11:36,840
Speaker 1: and then you have some soundings printed in a sort

1343
01:11:36,840 --> 01:11:41,720
Speaker 1: of equal spacing, so you could tell twenty fathoms, six fathoms,

1344
01:11:41,800 --> 01:11:48,479
Speaker 1: forty fathoms whatever, no detail. It made fishing very challenging

1345
01:11:48,520 --> 01:11:53,760
Speaker 1: because there was always this feeling of a kind of randomness. Okay,

1346
01:11:55,320 --> 01:12:03,600
Speaker 1: I've now gotten to the point where use navionics data.

1347
01:12:05,520 --> 01:12:11,240
Speaker 1: My catch rate one went up. My understanding of the

1348
01:12:11,280 --> 01:12:14,320
Speaker 1: ocean and what's going on, and my enjoyment of the

1349
01:12:14,360 --> 01:12:19,080
Speaker 1: experience went up hand in hand where it was like,

1350
01:12:19,200 --> 01:12:22,680
Speaker 1: oh wow, I didn't know that that was like a

1351
01:12:22,760 --> 01:12:27,439
Speaker 1: really sharp hog back ridge. It would be like in

1352
01:12:27,479 --> 01:12:29,280
Speaker 1: the old days to be like now, and then you'll

1353
01:12:29,280 --> 01:12:33,080
Speaker 1: catch a blank like over in that kind of area.

1354
01:12:33,479 --> 01:12:38,000
Speaker 1: Now I'm like, oh wow, they like to lay on

1355
01:12:39,240 --> 01:12:43,320
Speaker 1: the drop off point of a hog back ridge. And

1356
01:12:43,360 --> 01:12:48,920
Speaker 1: when you get there, get ready it like uh, efficacy up,

1357
01:12:49,760 --> 01:12:54,679
Speaker 1: understanding up sort of like inspiration about the landscape up.

1358
01:12:54,720 --> 01:12:58,519
Speaker 1: You could it was just like it was better, more fun,

1359
01:12:59,280 --> 01:13:07,200
Speaker 1: more education. Taking that and looking at it with live scope.

1360
01:13:07,240 --> 01:13:10,080
Speaker 1: Do you feel that it's uh, do you feel there's

1361
01:13:10,120 --> 01:13:15,320
Speaker 1: something similar at play? Is it like ultimately taking from

1362
01:13:15,400 --> 01:13:17,760
Speaker 1: the experience or is it adding to the experience. We'll

1363
01:13:17,800 --> 01:13:18,439
Speaker 1: start with Danny.

1364
01:13:18,520 --> 01:13:21,160
Speaker 9: So I'm gonna give two things here, Okay, Right, So

1365
01:13:21,600 --> 01:13:24,880
Speaker 9: I obviously you know, like I love live scope. I

1366
01:13:24,920 --> 01:13:26,559
Speaker 9: love to fish with it. I like how I can

1367
01:13:26,600 --> 01:13:29,960
Speaker 9: be selective in which fish I catch, you know, if

1368
01:13:30,000 --> 01:13:33,439
Speaker 9: I'm targeting eater fish, for example, I can target eater fish.

1369
01:13:33,479 --> 01:13:35,960
Speaker 9: I don't catch big fish, I don't catch small fish.

1370
01:13:35,960 --> 01:13:40,000
Speaker 9: I don't catch, you know, accidentally catch muskies. Back in

1371
01:13:40,000 --> 01:13:43,439
Speaker 9: the day when we'd you know, rig leeches and creek chubs,

1372
01:13:43,479 --> 01:13:46,160
Speaker 9: we'd catch whatever would bite it, yep, and it would

1373
01:13:46,200 --> 01:13:48,120
Speaker 9: swallow the hook every time. Like, I feel like I

1374
01:13:48,160 --> 01:13:52,840
Speaker 9: can actually fish more efficiently but also more you know, ethically,

1375
01:13:53,080 --> 01:13:56,280
Speaker 9: so to speak with the fish. Fishing with that technology,

1376
01:13:56,560 --> 01:13:58,720
Speaker 9: I can learn about what's on the bottom, I've said,

1377
01:13:58,760 --> 01:14:01,160
Speaker 9: on a lax lake in the winter time and watch

1378
01:14:01,240 --> 01:14:03,519
Speaker 9: the migration of walleyes as they come and go off

1379
01:14:03,560 --> 01:14:06,120
Speaker 9: those flats morning and night, and it's like I've just

1380
01:14:06,280 --> 01:14:09,680
Speaker 9: learned so much about fish behavior and what they do.

1381
01:14:09,880 --> 01:14:12,960
Speaker 9: And that's where like if you know, like using it

1382
01:14:13,000 --> 01:14:16,320
Speaker 9: in that matter or matter, it is so beneficial to

1383
01:14:16,400 --> 01:14:19,320
Speaker 9: an angler, you learn so much. I enjoyed the experience more.

1384
01:14:19,920 --> 01:14:21,639
Speaker 9: I'm able to bring my daughters. They're able to see

1385
01:14:21,680 --> 01:14:24,200
Speaker 9: the fish moving around and if anything gives you hope.

1386
01:14:24,240 --> 01:14:25,680
Speaker 9: You don't always catch them, but at least you can

1387
01:14:25,720 --> 01:14:26,400
Speaker 9: see them down there.

1388
01:14:26,439 --> 01:14:26,639
Speaker 1: Right.

1389
01:14:27,280 --> 01:14:30,080
Speaker 9: But then also from like an industry standpoint, right, and

1390
01:14:30,120 --> 01:14:32,960
Speaker 9: the cross both thing here is a prime example and

1391
01:14:33,080 --> 01:14:35,280
Speaker 9: hits me. Hits me because I'm a white tail guy, right,

1392
01:14:35,800 --> 01:14:38,920
Speaker 9: and you know with ford facing sonar, I mean the

1393
01:14:39,280 --> 01:14:43,400
Speaker 9: one great benefit it also brings not only understanding fisheries,

1394
01:14:43,400 --> 01:14:46,040
Speaker 9: but look at what it brings to the industry as

1395
01:14:46,040 --> 01:14:46,960
Speaker 9: far as dollars go.

1396
01:14:47,240 --> 01:14:47,439
Speaker 3: Right.

1397
01:14:47,800 --> 01:14:50,439
Speaker 9: So now we've got all these baits aimed at ford

1398
01:14:50,479 --> 01:14:54,240
Speaker 9: facing sonar. You can go buy you know, a new

1399
01:14:54,400 --> 01:14:58,439
Speaker 9: Berkeley power switch and it's got the FFS ford facing

1400
01:14:58,479 --> 01:15:01,680
Speaker 9: sonar logo right on that bait, letting you know the

1401
01:15:01,720 --> 01:15:05,160
Speaker 9: angler know it's for facing zonar. So it's created new

1402
01:15:05,200 --> 01:15:08,280
Speaker 9: industries within fishing. There's a new fishing line called Forward

1403
01:15:08,960 --> 01:15:12,160
Speaker 9: Diowa makes live scope rods that are you know, twelve

1404
01:15:12,240 --> 01:15:14,840
Speaker 9: hundred dollars odds you can use four livescoping. So, like

1405
01:15:15,520 --> 01:15:17,960
Speaker 9: you bring all this new money to the industry like

1406
01:15:18,000 --> 01:15:20,880
Speaker 9: Crossbows did, and you know a lot of times if

1407
01:15:20,880 --> 01:15:23,280
Speaker 9: that money can go back into the industry or keep

1408
01:15:23,320 --> 01:15:25,600
Speaker 9: the industry going, especially coming right out of COVID with

1409
01:15:25,640 --> 01:15:28,200
Speaker 9: all the new anglers we have. I mean there is

1410
01:15:28,280 --> 01:15:32,000
Speaker 9: a lot of like fringe benefits you don't necessarily speak

1411
01:15:32,040 --> 01:15:34,800
Speaker 9: of that not only add benefits to when you're out

1412
01:15:34,800 --> 01:15:37,679
Speaker 9: on the water, but benefits to the fishing industry in general.

1413
01:15:39,320 --> 01:15:43,200
Speaker 1: They're subject to what's the fishing Dingle Johnson L Johnson?

1414
01:15:44,160 --> 01:15:46,960
Speaker 1: Is that technology hit by Dingle Johnson tech?

1415
01:15:47,439 --> 01:15:49,679
Speaker 6: The technology wouldn't be, but a lot of the other.

1416
01:15:49,520 --> 01:15:50,120
Speaker 5: Stuff would be.

1417
01:15:50,240 --> 01:15:51,880
Speaker 1: The hardware is not hit by Dingle Johnson.

1418
01:15:52,560 --> 01:15:54,040
Speaker 2: Reno electronics are exempt.

1419
01:15:54,320 --> 01:15:56,840
Speaker 1: What yeah, man? Yeah, why is that.

1420
01:15:58,240 --> 01:15:58,479
Speaker 2: Dude?

1421
01:15:58,560 --> 01:16:00,320
Speaker 1: Boat gas is an exempt right? Yeah.

1422
01:16:00,400 --> 01:16:03,400
Speaker 2: So it was a navigational tool when when dj was

1423
01:16:03,720 --> 01:16:06,280
Speaker 2: getting started. So it hasn't been modified.

1424
01:16:06,600 --> 01:16:08,200
Speaker 1: Oh they need to get in there and hit that.

1425
01:16:09,160 --> 01:16:11,960
Speaker 1: How much is a how much is a what are

1426
01:16:11,960 --> 01:16:13,920
Speaker 1: we talking about? We never established how much does it

1427
01:16:13,920 --> 01:16:14,840
Speaker 1: cost to get your boat set?

1428
01:16:14,880 --> 01:16:16,960
Speaker 9: Up. I mean, a live scope system is going to

1429
01:16:17,000 --> 01:16:20,400
Speaker 9: be sixteen ninety nine retail, and then you know a

1430
01:16:20,600 --> 01:16:23,320
Speaker 9: screen that you'd use with it, you're looking at anywhere

1431
01:16:23,360 --> 01:16:26,639
Speaker 9: from let's just say eight hundred bucks on up, depending

1432
01:16:26,680 --> 01:16:28,040
Speaker 9: on what size you had, you know, like when I

1433
01:16:28,040 --> 01:16:30,400
Speaker 9: first started, it's a lot of seven inch units. Now

1434
01:16:30,439 --> 01:16:32,800
Speaker 9: we're sending selling a lot of ten inch screens, so

1435
01:16:32,840 --> 01:16:35,439
Speaker 9: you're going to be you know, about three grand. I'll

1436
01:16:35,479 --> 01:16:36,479
Speaker 9: say it to be all in.

1437
01:16:36,479 --> 01:16:43,360
Speaker 1: Okay, does it improve or detract from the experience?

1438
01:16:43,720 --> 01:16:46,400
Speaker 2: Yeah, So I don't want to come off as like

1439
01:16:46,439 --> 01:16:49,240
Speaker 2: I just hate this technology because as a student of

1440
01:16:49,280 --> 01:16:53,400
Speaker 2: angling fishing my whole life, this is the most insane

1441
01:16:53,720 --> 01:16:58,320
Speaker 2: coolest thing ever to happen in fishing, right yoh, all

1442
01:16:58,400 --> 01:17:01,880
Speaker 2: the like if fundamentally changes it, like what's out there? Oh,

1443
01:17:01,920 --> 01:17:04,000
Speaker 2: I know what's out there? There's a big wall, you

1444
01:17:04,040 --> 01:17:06,479
Speaker 2: see it, right, Like, so it just changes things.

1445
01:17:06,479 --> 01:17:09,640
Speaker 1: So it is really cool. So that you brought up

1446
01:17:09,680 --> 01:17:10,320
Speaker 1: the great.

1447
01:17:10,160 --> 01:17:14,760
Speaker 2: Point, Steve of the GPS technology, like all of the

1448
01:17:14,840 --> 01:17:17,640
Speaker 2: other tech is really and that's really the foundation of

1449
01:17:17,680 --> 01:17:20,280
Speaker 2: a lot of it. Right, So if I can't easily

1450
01:17:20,360 --> 01:17:23,439
Speaker 2: navigate to these locations, it will likely be spots to

1451
01:17:23,439 --> 01:17:28,160
Speaker 2: hold fish right, like forward facing sownar. Isn't that great

1452
01:17:28,200 --> 01:17:30,640
Speaker 2: if you've got, you know, just a paper map that

1453
01:17:30,680 --> 01:17:33,000
Speaker 2: doesn't show you much like if you're not going to

1454
01:17:33,000 --> 01:17:37,200
Speaker 2: go to habitat fishing right, So so the map is huge.

1455
01:17:37,200 --> 01:17:39,320
Speaker 2: And talking to you know, I was talking to al

1456
01:17:40,200 --> 01:17:42,679
Speaker 2: Linda about some of the big moments in his career

1457
01:17:42,800 --> 01:17:45,280
Speaker 2: and fishing, and one that I thought was most interesting

1458
01:17:45,360 --> 01:17:48,960
Speaker 2: is he was like big outboards, man, like bigger.

1459
01:17:48,640 --> 01:17:49,599
Speaker 1: Boats, bigger outboards.

1460
01:17:49,640 --> 01:17:51,519
Speaker 2: When we could go out on Lake Erie and we

1461
01:17:51,560 --> 01:17:53,320
Speaker 2: could go out in the middle of Molax Lake, He's like,

1462
01:17:53,880 --> 01:17:57,280
Speaker 2: that changed fishing, you know, like that was a big

1463
01:17:57,320 --> 01:18:01,479
Speaker 2: moment in changing fishing. And that's marine electronics often get

1464
01:18:01,479 --> 01:18:03,320
Speaker 2: picked on, but that that was a huge deal. You

1465
01:18:03,320 --> 01:18:05,960
Speaker 2: brought up out wards earlier and this and then the other,

1466
01:18:06,320 --> 01:18:09,200
Speaker 2: you know, fundamental shift was mapping and being able to navigate,

1467
01:18:09,600 --> 01:18:12,120
Speaker 2: especially big bodies of water, find spots in the middle

1468
01:18:12,120 --> 01:18:16,000
Speaker 2: of the Lake Traverse Canadian Shield Waters. Now that you know,

1469
01:18:16,680 --> 01:18:18,920
Speaker 2: spinning the map around everything looks to say, you know,

1470
01:18:19,320 --> 01:18:24,120
Speaker 2: like it's pretty cool. So technology absolutely adds to the

1471
01:18:24,840 --> 01:18:28,280
Speaker 2: it can add to the experience. Yeah, absolutely, So I

1472
01:18:28,280 --> 01:18:30,640
Speaker 2: guess how much how easy you want to be and

1473
01:18:30,680 --> 01:18:33,120
Speaker 2: how much do you value some of those intangibles that

1474
01:18:33,160 --> 01:18:36,400
Speaker 2: are the mystery the difficulty in fishing, And that's kind

1475
01:18:36,400 --> 01:18:39,320
Speaker 2: of I think what we want to measure to some

1476
01:18:39,400 --> 01:18:42,599
Speaker 2: degree is how much value is there in the mystery

1477
01:18:42,920 --> 01:18:44,760
Speaker 2: those intangibles, and those are some of the things I

1478
01:18:44,760 --> 01:18:45,639
Speaker 2: think we need to consider.

1479
01:18:46,439 --> 01:18:50,160
Speaker 1: Uh, let's say this isn't a question, it's just something

1480
01:18:50,200 --> 01:18:53,679
Speaker 1: to respond to, just a thing to muse on. Let's

1481
01:18:53,680 --> 01:18:58,760
Speaker 1: say I developed some crazy technology where I could I

1482
01:18:58,800 --> 01:19:00,800
Speaker 1: all of a sudden had some technolog where I had

1483
01:19:00,840 --> 01:19:03,400
Speaker 1: I could put a map in front of you, and

1484
01:19:03,439 --> 01:19:06,200
Speaker 1: I could be like, every elk at all times is

1485
01:19:06,240 --> 01:19:12,240
Speaker 1: on this map. And I went to a body mine,

1486
01:19:12,280 --> 01:19:16,120
Speaker 1: I'm like, check this out, right, most dudes, let me

1487
01:19:16,120 --> 01:19:16,719
Speaker 1: look at that map.

1488
01:19:18,120 --> 01:19:18,320
Speaker 5: Right.

1489
01:19:18,600 --> 01:19:20,000
Speaker 1: But then I come and be like, I'm going to

1490
01:19:20,080 --> 01:19:24,639
Speaker 1: sell this map anyone that wants it. Then people are

1491
01:19:24,640 --> 01:19:26,360
Speaker 1: gonna be like, I don't think you should do that. Yeah,

1492
01:19:26,720 --> 01:19:28,160
Speaker 1: but I think a lot of guys would want to

1493
01:19:28,160 --> 01:19:32,160
Speaker 1: peek at the map if they could peek at it secretly. Right,

1494
01:19:32,320 --> 01:19:35,439
Speaker 1: So there is a point at which like we go

1495
01:19:35,479 --> 01:19:38,560
Speaker 1: to that extreme, and I some people don't like extremes

1496
01:19:38,560 --> 01:19:41,519
Speaker 1: when debating, But I'm a big fan of extremes when debating.

1497
01:19:44,320 --> 01:19:47,559
Speaker 1: Most people would agree that if we could do that,

1498
01:19:48,000 --> 01:19:50,160
Speaker 1: if I could show you a map and every elk

1499
01:19:50,240 --> 01:19:53,400
Speaker 1: in existence on that mountain is on that map, or just.

1500
01:19:53,439 --> 01:19:55,200
Speaker 5: The three hundred and sixty bull is.

1501
01:19:56,040 --> 01:19:58,320
Speaker 1: On that he's always on there, no right where he

1502
01:19:58,360 --> 01:20:02,080
Speaker 1: is at all times, I think that you'd have ninety

1503
01:20:02,320 --> 01:20:04,760
Speaker 1: whatever the hell eighty ninety percent of people would be like,

1504
01:20:04,880 --> 01:20:08,080
Speaker 1: that's just going too far, and I would go like,

1505
01:20:08,120 --> 01:20:10,480
Speaker 1: but think of how educational it would be to understand

1506
01:20:11,840 --> 01:20:14,799
Speaker 1: how elk use the mountain. That's all the big bulls.

1507
01:20:15,400 --> 01:20:17,960
Speaker 1: Isn't it cool? You can see exactly where they like

1508
01:20:18,000 --> 01:20:20,439
Speaker 1: to lay, when they move, when they spook, where they go,

1509
01:20:20,560 --> 01:20:24,960
Speaker 1: what they eat. How educational? And people would say yeah,

1510
01:20:25,000 --> 01:20:29,000
Speaker 1: but yeah, but yeah, so there's like there is an extreme.

1511
01:20:31,479 --> 01:20:33,559
Speaker 1: I don't know how to put that into a question.

1512
01:20:33,920 --> 01:20:41,880
Speaker 1: But this can't be this can't be that. It's not like,

1513
01:20:41,960 --> 01:20:45,320
Speaker 1: it can't be that all mysteries are revealed.

1514
01:20:44,920 --> 01:20:48,840
Speaker 9: Right, and you know, like it's not obviously, And I

1515
01:20:48,880 --> 01:20:50,760
Speaker 9: know one thing people like to say is using life

1516
01:20:50,760 --> 01:20:53,160
Speaker 9: scope is like spotlight and white tails or scot light

1517
01:20:53,160 --> 01:20:57,839
Speaker 9: and deer. Okay, and although you can find the fish quicker,

1518
01:20:58,120 --> 01:21:01,160
Speaker 9: they still have to react, right, And if anybody's tried

1519
01:21:01,160 --> 01:21:03,679
Speaker 9: to catch a walleye on Leech Lake as of recent

1520
01:21:04,160 --> 01:21:06,639
Speaker 9: you'll know real quick that the fish start to learn

1521
01:21:06,680 --> 01:21:10,000
Speaker 9: about live scope and boats following them around. And where

1522
01:21:10,000 --> 01:21:11,400
Speaker 9: before you used to be able to maybe make a

1523
01:21:11,439 --> 01:21:14,760
Speaker 9: forty or forty foot cast at a walleye, you now

1524
01:21:14,800 --> 01:21:17,080
Speaker 9: have to try to make an eighty one hundred foot cast,

1525
01:21:17,200 --> 01:21:19,840
Speaker 9: like you know what I mean. And so like the

1526
01:21:19,880 --> 01:21:22,120
Speaker 9: fish still has to react and bite that bait. I've

1527
01:21:22,120 --> 01:21:25,160
Speaker 9: thrown my ned rig at a walleye one hundreds of

1528
01:21:25,240 --> 01:21:26,880
Speaker 9: times where they don't bite, and you just got to

1529
01:21:26,960 --> 01:21:29,760
Speaker 9: keep moving on. So even if sometimes you know where

1530
01:21:29,760 --> 01:21:33,360
Speaker 9: the fish are doesn't necessarily you know, mean you're gonna

1531
01:21:33,400 --> 01:21:35,519
Speaker 9: catch them all the time, you know. And obviously muskies

1532
01:21:35,560 --> 01:21:37,479
Speaker 9: are going to be a little bit different. I feel

1533
01:21:37,479 --> 01:21:39,240
Speaker 9: like there always going to be maybe an exception. There's

1534
01:21:39,240 --> 01:21:42,519
Speaker 9: other species that are too, but like you know, knowing

1535
01:21:42,680 --> 01:21:45,840
Speaker 9: exactly where that bowl is and then you know, going

1536
01:21:45,920 --> 01:21:49,439
Speaker 9: with a long range rifle or something like, it's it's

1537
01:21:49,800 --> 01:21:52,400
Speaker 9: similar but different. I guess, just like spotlighting a deer,

1538
01:21:52,479 --> 01:21:55,719
Speaker 9: like once you spotlight the deer, Like the deer doesn't

1539
01:21:55,760 --> 01:21:58,200
Speaker 9: have any choice there, like the fish is making the

1540
01:21:58,280 --> 01:22:01,559
Speaker 9: choice to still react bite bait. You still gotta make

1541
01:22:01,600 --> 01:22:04,360
Speaker 9: your cast within that twenty foot color, twenty degree cone angle,

1542
01:22:05,000 --> 01:22:05,200
Speaker 9: you know.

1543
01:22:05,439 --> 01:22:05,519
Speaker 5: No.

1544
01:22:07,160 --> 01:22:09,720
Speaker 4: I got kind of an example up Chester and I

1545
01:22:09,720 --> 01:22:12,960
Speaker 4: fished a tournament on Fresno here in Montana a few

1546
01:22:13,000 --> 01:22:16,479
Speaker 4: years ago, and everyone was kind of in this one

1547
01:22:16,520 --> 01:22:19,559
Speaker 4: part of the lake and we we motored up in

1548
01:22:19,600 --> 01:22:22,160
Speaker 4: this part of the lake that was super stained, like

1549
01:22:23,280 --> 01:22:27,479
Speaker 4: two three inches of viz. And we started marking a

1550
01:22:27,520 --> 01:22:29,479
Speaker 4: bunch of fish, but there was no one fishing there.

1551
01:22:29,680 --> 01:22:34,160
Speaker 4: So we dropped dropped down to megalive and we figured

1552
01:22:34,200 --> 01:22:36,040
Speaker 4: out if we if you drop we were drop shot

1553
01:22:36,120 --> 01:22:39,160
Speaker 4: in these walleyes, and if you put it five inches

1554
01:22:39,160 --> 01:22:41,960
Speaker 4: from him, you weren't catching them, but if you were

1555
01:22:42,000 --> 01:22:45,800
Speaker 4: to place it right on their nose, you could catch

1556
01:22:45,800 --> 01:22:49,120
Speaker 4: them pretty much every time. And that's like an example

1557
01:22:49,240 --> 01:22:52,200
Speaker 4: where if if we didn't have that, we end up

1558
01:22:52,200 --> 01:22:54,840
Speaker 4: taking like seventh in that tournament and every like a

1559
01:22:54,880 --> 01:22:58,920
Speaker 4: lot of people struggled, but we just figured out this

1560
01:22:58,960 --> 01:23:02,040
Speaker 4: one little thing and a super stained water where if

1561
01:23:02,040 --> 01:23:05,559
Speaker 4: we didn't have live imaging, like you would never have.

1562
01:23:05,560 --> 01:23:07,400
Speaker 3: Caught those fish.

1563
01:23:07,560 --> 01:23:10,400
Speaker 4: But we were just able to like really sharp shoot

1564
01:23:10,400 --> 01:23:15,280
Speaker 4: and like pinpoint these fish using that technology, and we

1565
01:23:15,360 --> 01:23:18,880
Speaker 4: like ended up catching a bunch. But I was pretty

1566
01:23:18,880 --> 01:23:20,960
Speaker 4: confident where if we tried to do that, like you

1567
01:23:21,560 --> 01:23:24,600
Speaker 4: just had to put it right on their nose.

1568
01:23:24,880 --> 01:23:27,120
Speaker 1: It was getting you fishy. Otherwise would have never would have.

1569
01:23:27,000 --> 01:23:28,080
Speaker 3: Never have caught those fish.

1570
01:23:28,360 --> 01:23:32,920
Speaker 1: Yeah, well, Le's you want to address that one. Well, nothing,

1571
01:23:32,960 --> 01:23:35,439
Speaker 1: I don't know what you want to comment on that one.

1572
01:23:35,920 --> 01:23:38,240
Speaker 2: I mean, yeah, I mean you just get this precision

1573
01:23:38,320 --> 01:23:41,599
Speaker 2: accuracy to your point, that just wasn't It wasn't possible.

1574
01:23:41,640 --> 01:23:44,320
Speaker 2: And you know, like back to the muskie thing, I mean,

1575
01:23:44,320 --> 01:23:46,559
Speaker 2: that's not like the spotlight in common or whatever. That's

1576
01:23:46,560 --> 01:23:49,040
Speaker 2: what that's what musky guys call it. They call it

1577
01:23:49,080 --> 01:23:51,479
Speaker 2: road hunting, spotlight and sharp shooting like.

1578
01:23:51,680 --> 01:23:55,000
Speaker 1: Guys, yeah, yeah, right.

1579
01:23:55,200 --> 01:23:57,000
Speaker 2: And so this is if you guys are familiar with

1580
01:23:57,040 --> 01:23:59,559
Speaker 2: the concept of the tragedy of the commons as well,

1581
01:23:59,640 --> 01:24:03,280
Speaker 2: like this really applies in many of these cases where

1582
01:24:04,000 --> 01:24:07,040
Speaker 2: and it's quite interesting, like ge back to the muskie world,

1583
01:24:07,120 --> 01:24:09,439
Speaker 2: like on Leech Lake. This has gotten to be a

1584
01:24:09,439 --> 01:24:12,479
Speaker 2: hot topic. So all these guides are out there, they

1585
01:24:12,520 --> 01:24:15,400
Speaker 2: know like this is bad. Like what we're doing out

1586
01:24:15,439 --> 01:24:18,240
Speaker 2: here like bad. We should not be catching this many fish.

1587
01:24:19,000 --> 01:24:22,960
Speaker 2: But if I don't do this, I'm not going to

1588
01:24:23,040 --> 01:24:26,280
Speaker 2: catch nearly as many. So if I decide, you know what,

1589
01:24:26,320 --> 01:24:28,680
Speaker 2: I'm gonna take the high road, I'm gonna just go

1590
01:24:28,720 --> 01:24:30,400
Speaker 2: fish traditionally and not do this. But you know what,

1591
01:24:30,439 --> 01:24:32,519
Speaker 2: the guy who's twenty years old, really good with tech,

1592
01:24:32,600 --> 01:24:35,320
Speaker 2: just buys this stuff, he can start guiding tomorrow and

1593
01:24:35,360 --> 01:24:37,400
Speaker 2: he's gonna kick his ass the guy who's been doing

1594
01:24:37,439 --> 01:24:39,360
Speaker 2: it for thirty years. So they're just caught in this

1595
01:24:39,439 --> 01:24:42,320
Speaker 2: rut and saying, hey, we need help. We need help

1596
01:24:42,360 --> 01:24:45,720
Speaker 2: stopping ourselves from doing this. So it's a really interesting

1597
01:24:46,200 --> 01:24:48,040
Speaker 2: situation that we're in with that.

1598
01:24:48,320 --> 01:24:53,880
Speaker 1: There was a famous buffalo hide hunter and he observed

1599
01:24:53,920 --> 01:24:55,640
Speaker 1: when he was down in the I think he was

1600
01:24:55,640 --> 01:24:59,920
Speaker 1: in the Texas Panhandle. He knew what they were doing,

1601
01:25:01,000 --> 01:25:04,640
Speaker 1: that they were pushing the animals to extinction. And he

1602
01:25:04,680 --> 01:25:10,200
Speaker 1: would say, sometimes they get so disgusted and I'd be like,

1603
01:25:10,400 --> 01:25:12,720
Speaker 1: I can't do it anymore. But he said, you'd wake

1604
01:25:12,800 --> 01:25:18,920
Speaker 1: up and off in the distance, he's like, someone's doing it.

1605
01:25:18,920 --> 01:25:22,280
Speaker 1: It's gonna happen no matter what you know, yeah, that's

1606
01:25:22,320 --> 01:25:25,240
Speaker 1: it all right, the last question, and we would go

1607
01:25:25,240 --> 01:25:27,439
Speaker 1: around and remembering and have you can have two things.

1608
01:25:27,439 --> 01:25:29,320
Speaker 1: You have a final thought if you want, but you

1609
01:25:29,360 --> 01:25:35,240
Speaker 1: also got a crystal ballet. What's the fair number? Ten years,

1610
01:25:35,240 --> 01:25:38,840
Speaker 1: twenty years, ten years, ten years where we sitting just

1611
01:25:38,920 --> 01:25:41,680
Speaker 1: kind of like you know, where were sitting on the

1612
01:25:41,680 --> 01:25:43,800
Speaker 1: debate in ten years what happened? And ten years what

1613
01:25:43,840 --> 01:25:48,360
Speaker 1: will have happened? As we weigh this all out. So

1614
01:25:48,479 --> 01:25:50,280
Speaker 1: a final thought, if you got one and then crystal

1615
01:25:50,280 --> 01:25:52,720
Speaker 1: ballet ten years down the road, I would expect to

1616
01:25:52,800 --> 01:25:55,240
Speaker 1: see blank.

1617
01:25:55,920 --> 01:25:58,000
Speaker 6: Yeah, So I guess final thought.

1618
01:25:58,000 --> 01:26:01,760
Speaker 9: I'll start with that obviously, you know, obviously I think

1619
01:26:02,120 --> 01:26:05,240
Speaker 9: my big perspective on it is is, you know, there

1620
01:26:05,400 --> 01:26:07,360
Speaker 9: there's always going to be the two groups, the people

1621
01:26:07,360 --> 01:26:09,559
Speaker 9: that like it, people that don't, people kind of fall

1622
01:26:09,640 --> 01:26:12,559
Speaker 9: in the middle. Doesn't necessarily matter what we decide as

1623
01:26:12,560 --> 01:26:15,920
Speaker 9: far as regulation or whatever else, like, it's still going

1624
01:26:16,000 --> 01:26:19,320
Speaker 9: to there's still gonna be that that those groups, you know.

1625
01:26:19,840 --> 01:26:21,519
Speaker 9: And that's where I say, like, as long as we're

1626
01:26:21,560 --> 01:26:25,400
Speaker 9: making decisions based on the science, based on you know,

1627
01:26:25,479 --> 01:26:28,599
Speaker 9: actual facts and what's going on versus just on emotion

1628
01:26:29,360 --> 01:26:31,320
Speaker 9: and whatnot, I think we'll be will be in a

1629
01:26:31,360 --> 01:26:35,599
Speaker 9: good spot, you know. The one bad thing and Jeremy

1630
01:26:35,640 --> 01:26:38,960
Speaker 9: alluded to this a little bit, is like, right now,

1631
01:26:39,000 --> 01:26:42,960
Speaker 9: how we're getting those facts isn't necessarily like the most

1632
01:26:43,000 --> 01:26:45,479
Speaker 9: effective way, right So, right now we're getting a lot

1633
01:26:45,479 --> 01:26:50,360
Speaker 9: of those facts through creole surveys, you know, and to

1634
01:26:50,720 --> 01:26:53,639
Speaker 9: some degree there's probably some truth to them. And it's

1635
01:26:53,680 --> 01:26:56,479
Speaker 9: pointing out that that top group is the group that's

1636
01:26:56,520 --> 01:26:58,559
Speaker 9: catching the fish, doing most of the harvest that kind

1637
01:26:58,600 --> 01:27:00,840
Speaker 9: of stuff, and everybody else is still kind of the same,

1638
01:27:00,920 --> 01:27:04,559
Speaker 9: right We're not really showing that much or if any

1639
01:27:04,760 --> 01:27:07,680
Speaker 9: increase in catch of fish or any of that kind

1640
01:27:07,720 --> 01:27:10,840
Speaker 9: of stuff. You So right now we're showing like really

1641
01:27:10,880 --> 01:27:13,960
Speaker 9: it's not having an effect, is basically it. But you know,

1642
01:27:14,000 --> 01:27:16,840
Speaker 9: how are we getting these creole surveys? Are they doing

1643
01:27:16,840 --> 01:27:19,719
Speaker 9: them at the correct times? Are the muskie guys really

1644
01:27:19,760 --> 01:27:23,800
Speaker 9: coming off the boat access at noon now they're coming

1645
01:27:23,840 --> 01:27:25,439
Speaker 9: off in the middle of the night or you know

1646
01:27:25,439 --> 01:27:28,200
Speaker 9: what I mean, before the sun comes up, whatever else?

1647
01:27:28,240 --> 01:27:30,320
Speaker 9: And are we actually hitting those guys that are harvesting

1648
01:27:30,320 --> 01:27:32,280
Speaker 9: a lot of the fish? Right So, I think there's

1649
01:27:32,320 --> 01:27:34,240
Speaker 9: a little bit of a flaw in how we're getting

1650
01:27:34,240 --> 01:27:36,719
Speaker 9: that data, but just making sure that we are using

1651
01:27:36,760 --> 01:27:39,840
Speaker 9: good data and good information we make those decisions. I

1652
01:27:39,840 --> 01:27:42,040
Speaker 9: think that's the most important because it does have a

1653
01:27:42,080 --> 01:27:44,040
Speaker 9: big impact on the industry and we are bringing a

1654
01:27:44,040 --> 01:27:47,080
Speaker 9: lot to the industry and a lot to the upcoming

1655
01:27:47,120 --> 01:27:50,479
Speaker 9: generation because of the technology. So ten years down the road,

1656
01:27:50,479 --> 01:27:52,320
Speaker 9: where are we going to be? Well, I mean, I've

1657
01:27:52,439 --> 01:27:54,840
Speaker 9: been in this business now for ten years, been with

1658
01:27:54,880 --> 01:27:57,960
Speaker 9: Garment for ten years, and when I started, we were

1659
01:27:58,439 --> 01:28:01,439
Speaker 9: using two D sonar. Right now we're using live scope.

1660
01:28:01,479 --> 01:28:03,799
Speaker 9: I can see fish two hundred feet away in livetime.

1661
01:28:03,840 --> 01:28:06,559
Speaker 9: So I mean, who knows what's coming right And we're

1662
01:28:06,600 --> 01:28:10,760
Speaker 9: sitting here and we're debating what's happening right now. But

1663
01:28:11,000 --> 01:28:14,479
Speaker 9: like you know, we're all middle aged guys, right, and

1664
01:28:14,760 --> 01:28:16,120
Speaker 9: we grew up in a time where there was no

1665
01:28:16,240 --> 01:28:18,479
Speaker 9: cell phones, there wasn't really internet and all that kind

1666
01:28:18,479 --> 01:28:21,000
Speaker 9: of stuff. And now look what we have, right, And

1667
01:28:21,080 --> 01:28:24,920
Speaker 9: so this generation of Anglers that's coming up right now,

1668
01:28:25,160 --> 01:28:27,760
Speaker 9: like with the new bass Master Classic Angler being young

1669
01:28:27,760 --> 01:28:30,639
Speaker 9: and a lot of young guns kind of in this

1670
01:28:31,000 --> 01:28:34,920
Speaker 9: tournament series in the content game, right, like, they're going

1671
01:28:35,000 --> 01:28:38,320
Speaker 9: to drive that technology, I think further and further and further.

1672
01:28:38,400 --> 01:28:41,679
Speaker 9: And so what we should be looking at, maybe concerned

1673
01:28:41,720 --> 01:28:44,879
Speaker 9: about talking about, is what's coming more so too, versus

1674
01:28:45,439 --> 01:28:48,080
Speaker 9: what we got going on right now. So in ten years, no,

1675
01:28:48,320 --> 01:28:49,000
Speaker 9: I mean, who knows?

1676
01:28:49,040 --> 01:28:49,799
Speaker 3: And good point.

1677
01:28:49,920 --> 01:28:52,160
Speaker 6: And that's where like I think Jeremy has a great point.

1678
01:28:52,200 --> 01:28:55,479
Speaker 9: And hey, we like we can't wait for twenty five

1679
01:28:55,600 --> 01:28:58,040
Speaker 9: years to figure out if we have an effect on bluegills,

1680
01:28:58,120 --> 01:29:01,240
Speaker 9: right we need to figure out that right now. So

1681
01:29:01,600 --> 01:29:05,000
Speaker 9: let's figure it out. Let's make good decisions, let's work together,

1682
01:29:05,360 --> 01:29:08,679
Speaker 9: Let's drive the industry. Let's continue to get these anglers.

1683
01:29:08,720 --> 01:29:11,000
Speaker 9: You know, we added almost a million youth anglers to

1684
01:29:11,040 --> 01:29:13,920
Speaker 9: the to the industry last year. Let's let's keep doing that.

1685
01:29:14,479 --> 01:29:17,000
Speaker 9: Let's use the technology with them, but use it in

1686
01:29:17,040 --> 01:29:20,479
Speaker 9: the correct ways. Train ethics, you know, like a lot

1687
01:29:20,479 --> 01:29:22,479
Speaker 9: of it really comes down to the anglers, like deer hunting,

1688
01:29:22,600 --> 01:29:25,080
Speaker 9: Like you can do a lot of things that you

1689
01:29:25,479 --> 01:29:28,559
Speaker 9: maybe shouldn't, you know, But where does that start. That

1690
01:29:28,640 --> 01:29:30,720
Speaker 9: starts with like the values and the ethics that we

1691
01:29:30,800 --> 01:29:32,600
Speaker 9: have as fishermen an outdoorsman.

1692
01:29:33,640 --> 01:29:38,000
Speaker 2: So Jeremy, well, I guess that to Crystal Ballad, I

1693
01:29:38,200 --> 01:29:42,599
Speaker 2: think there's going to have to be some examples of

1694
01:29:42,640 --> 01:29:46,840
Speaker 2: a fishery crashing or really you know, showing like, oh boy,

1695
01:29:47,400 --> 01:29:50,400
Speaker 2: there's a strong correlation between this use before we decide

1696
01:29:50,400 --> 01:29:54,320
Speaker 2: that we're going to be proactive on managing technology for

1697
01:29:54,320 --> 01:29:57,839
Speaker 2: the most part, and it'll be a reactive management strategy

1698
01:29:57,880 --> 01:29:59,760
Speaker 2: going forward, would be my guest, at least in the

1699
01:29:59,760 --> 01:30:02,679
Speaker 2: state Minnesota where I can speak to. But I think

1700
01:30:02,720 --> 01:30:04,599
Speaker 2: technology is not going to slow down. I think we're

1701
01:30:04,640 --> 01:30:06,960
Speaker 2: going to pursue this idea that we want to make

1702
01:30:07,000 --> 01:30:10,800
Speaker 2: the fishing experience easier or comfortable. We want to improve

1703
01:30:10,840 --> 01:30:12,680
Speaker 2: cat trades, we want to make you know. I mean,

1704
01:30:12,680 --> 01:30:18,120
Speaker 2: that's just that's just where it's going. That's that's where

1705
01:30:18,120 --> 01:30:20,240
Speaker 2: it's headed. So I'm not saying that's bad, but I'm

1706
01:30:20,280 --> 01:30:25,400
Speaker 2: just saying that trend will continue. Yeah, that trend will continue.

1707
01:30:26,040 --> 01:30:26,840
Speaker 3: Yeah.

1708
01:30:26,320 --> 01:30:30,519
Speaker 4: I'd use live imaging, and I like using it.

1709
01:30:30,520 --> 01:30:31,000
Speaker 3: It's fun.

1710
01:30:33,080 --> 01:30:37,240
Speaker 4: Some fisheries I don't use it because it just like

1711
01:30:37,280 --> 01:30:39,160
Speaker 4: you guys were talking, like, there's there's times when it's

1712
01:30:39,160 --> 01:30:43,680
Speaker 4: helpful and other times it doesn't matter. And I'm the

1713
01:30:43,720 --> 01:30:46,479
Speaker 4: type of guy who maybe keeps a limit of.

1714
01:30:46,520 --> 01:30:48,040
Speaker 3: Walleye a year.

1715
01:30:48,120 --> 01:30:51,040
Speaker 1: I don't keep a lot of fish.

1716
01:30:51,640 --> 01:30:55,719
Speaker 4: If it went away tomorrow, I'd still be out there fishing,

1717
01:30:56,600 --> 01:30:58,280
Speaker 4: and I don't think it'd make a big difference in

1718
01:30:58,280 --> 01:30:59,479
Speaker 4: my life, got.

1719
01:30:59,280 --> 01:31:05,400
Speaker 1: It, fish you wouldn't change, You wouldn't fish less days? Nope, No, no, grint.

1720
01:31:06,720 --> 01:31:09,600
Speaker 7: Well, I don't really have enough experience with any of this,

1721
01:31:11,840 --> 01:31:15,120
Speaker 7: But one thing stuck in my head from talking to

1722
01:31:15,160 --> 01:31:18,679
Speaker 7: you guys before the show, before you came out here,

1723
01:31:19,320 --> 01:31:24,800
Speaker 7: which was really again focusing on and this is what

1724
01:31:24,880 --> 01:31:28,479
Speaker 7: I can't not think about the generation that's coming up

1725
01:31:28,560 --> 01:31:33,080
Speaker 7: with tech, and uh, if that's just going to be

1726
01:31:35,080 --> 01:31:37,479
Speaker 7: if we won't get ahead of that. So I know

1727
01:31:37,520 --> 01:31:42,760
Speaker 7: we touched on that a bit today, but that you know,

1728
01:31:42,960 --> 01:31:50,479
Speaker 7: in five ten plus years the generation now your kids age,

1729
01:31:50,880 --> 01:31:52,920
Speaker 7: you know what they're used to and what they're going

1730
01:31:53,000 --> 01:31:55,880
Speaker 7: to be clamoring for. And if we're really going to

1731
01:31:55,920 --> 01:32:00,880
Speaker 7: set regulations in advance of that, and potentially with technology

1732
01:32:00,920 --> 01:32:08,400
Speaker 7: even developing faster better, that's just the one thing that's

1733
01:32:08,400 --> 01:32:16,000
Speaker 7: in my mind. So not sure if we'll react fast enough, Tony.

1734
01:32:16,960 --> 01:32:20,679
Speaker 8: I feel like when Jeremy's talking about the Musky guide

1735
01:32:20,680 --> 01:32:22,479
Speaker 8: thing and feeling the pressure to compete against the twenty

1736
01:32:22,520 --> 01:32:24,800
Speaker 8: year old who's going to use it without any no

1737
01:32:24,880 --> 01:32:26,800
Speaker 8: compunction at all. He's just like, I'm going to go.

1738
01:32:27,439 --> 01:32:30,559
Speaker 8: This feels just like how deer baiting is sort of

1739
01:32:30,560 --> 01:32:33,800
Speaker 8: a social contagion where you're like, I don't want to

1740
01:32:33,800 --> 01:32:36,200
Speaker 8: do it, but now my neighbor's doing it, and all

1741
01:32:36,200 --> 01:32:38,559
Speaker 8: my deer disappeared on opener, and I want my kids

1742
01:32:38,600 --> 01:32:41,080
Speaker 8: to get one, And so I just think we have

1743
01:32:41,120 --> 01:32:43,160
Speaker 8: to look at this and go, it's gonna be pretty

1744
01:32:43,160 --> 01:32:48,040
Speaker 8: widespread adoption, I think. And what kind of just occurred

1745
01:32:48,080 --> 01:32:50,840
Speaker 8: to me while you guys were talking is so we

1746
01:32:50,880 --> 01:32:53,000
Speaker 8: live We're all kind of Minnesota boys. We live in

1747
01:32:53,000 --> 01:32:55,040
Speaker 8: this world, know these lakes, and kind of that's the

1748
01:32:55,040 --> 01:32:58,200
Speaker 8: filter which we kind of view it through. But I

1749
01:32:58,240 --> 01:32:59,920
Speaker 8: was like, in my head, I'm I imagine if you

1750
01:33:00,160 --> 01:33:02,599
Speaker 8: like a selfie stick kind of thing with a little

1751
01:33:02,600 --> 01:33:05,639
Speaker 8: portable version of this, and these fly fishermen out here

1752
01:33:06,080 --> 01:33:08,280
Speaker 8: walk up to a hole, stick it in there, look

1753
01:33:08,320 --> 01:33:11,439
Speaker 8: at their phone, and go do your baby doing it right?

1754
01:33:11,640 --> 01:33:16,720
Speaker 8: But people will do it, But that would be a

1755
01:33:16,760 --> 01:33:20,840
Speaker 8: catalyst for like work, Like I think that people would

1756
01:33:20,840 --> 01:33:24,320
Speaker 8: go this is a use case like it that's too

1757
01:33:24,320 --> 01:33:26,719
Speaker 8: far for me. So like we if you're really close

1758
01:33:26,760 --> 01:33:29,679
Speaker 8: to the muskie issue, this is like if you really

1759
01:33:29,720 --> 01:33:32,439
Speaker 8: appreciate that opportunity, like this is a hot button thing

1760
01:33:32,520 --> 01:33:35,240
Speaker 8: right now because you can see that that specific use

1761
01:33:35,320 --> 01:33:38,200
Speaker 8: case is probably going to be trouble at some point

1762
01:33:38,479 --> 01:33:41,639
Speaker 8: or or already is. It's like a lot muddier when

1763
01:33:41,640 --> 01:33:45,080
Speaker 8: you're talking like grand scheme of things pan fish populations, walleyes, whatever.

1764
01:33:45,439 --> 01:33:47,040
Speaker 8: But I tend to err on the side like Danny,

1765
01:33:47,040 --> 01:33:49,599
Speaker 8: You're you have like a pretty charitable, charitable view of

1766
01:33:49,640 --> 01:33:52,760
Speaker 8: the average fishermen, like, well, we got to train them

1767
01:33:52,840 --> 01:33:55,240
Speaker 8: in ethics and this, and I'm I think about a

1768
01:33:55,240 --> 01:33:57,519
Speaker 8: lot of the old timey walleye guys and I know,

1769
01:33:57,560 --> 01:33:59,320
Speaker 8: I'm like, you give them a chance to put more

1770
01:33:59,360 --> 01:34:01,519
Speaker 8: fish in the boat, they're gonna do it. Like they're

1771
01:34:01,560 --> 01:34:03,840
Speaker 8: not gonna They're not gonna think about that for a second.

1772
01:34:03,840 --> 01:34:05,799
Speaker 8: And so I think we have to operate in that world.

1773
01:34:05,840 --> 01:34:08,360
Speaker 8: So ten years down the road, Crystal ball in it,

1774
01:34:09,080 --> 01:34:13,120
Speaker 8: I feel like we'll probably see some level of reduction

1775
01:34:13,160 --> 01:34:16,200
Speaker 8: and opportunities. If that's just limits or if it's shortened

1776
01:34:16,240 --> 01:34:18,000
Speaker 8: season or something like that. I think we have to

1777
01:34:18,560 --> 01:34:21,240
Speaker 8: consider that because I could see that, like I believe

1778
01:34:21,280 --> 01:34:22,080
Speaker 8: that's probably coming.

1779
01:34:23,240 --> 01:34:27,680
Speaker 5: Brody, I'm still on the fence. I'm nowhere, like I'm

1780
01:34:27,680 --> 01:34:29,479
Speaker 5: in the same place I was when I walked in

1781
01:34:29,520 --> 01:34:34,920
Speaker 5: the room. There, Well, crystal Ball, I mean the cats

1782
01:34:34,920 --> 01:34:37,320
Speaker 5: out of the bag. It ain't going anywhere, you know

1783
01:34:37,400 --> 01:34:39,960
Speaker 5: what I mean. Like, I don't think I think you're

1784
01:34:40,000 --> 01:34:46,439
Speaker 5: gonna have a real hard time disallowing the technology, other

1785
01:34:46,520 --> 01:34:51,280
Speaker 5: than in very specific cases like Montana paddlefish, where it's

1786
01:34:51,320 --> 01:34:55,840
Speaker 5: like a set number of anglers on a short stretch

1787
01:34:55,880 --> 01:35:00,000
Speaker 5: of river that can be monitored. I just I don't

1788
01:35:00,120 --> 01:35:02,639
Speaker 5: think anybody's gonna be like no, you like it can

1789
01:35:02,680 --> 01:35:07,880
Speaker 5: never I don't know. I mean, it's there. I'm I'm leary.

1790
01:35:08,040 --> 01:35:11,559
Speaker 5: But the reason I'm leery of putting it on my

1791
01:35:11,680 --> 01:35:15,759
Speaker 5: boat now because you'll watch it, is because my boys

1792
01:35:15,800 --> 01:35:19,519
Speaker 5: will pay attention to that to the exclusion of everything else, like,

1793
01:35:19,720 --> 01:35:20,439
Speaker 5: which is annoying.

1794
01:35:20,479 --> 01:35:23,200
Speaker 1: That's true. When I introduced ice fishing with a camera

1795
01:35:26,000 --> 01:35:27,920
Speaker 1: my older boy, if you don't got the camera, he's

1796
01:35:27,960 --> 01:35:32,760
Speaker 1: less interested in going, right. He loves it, uh and

1797
01:35:32,800 --> 01:35:37,759
Speaker 1: he'll he would sit there for three hours intent watching

1798
01:35:37,800 --> 01:35:44,000
Speaker 1: that screen glued. But that's different. That's parenting. That's not right.

1799
01:35:44,320 --> 01:35:45,280
Speaker 5: That's that's parenting.

1800
01:35:45,400 --> 01:35:50,559
Speaker 1: That's not regulation. When I crystal ball, just to take

1801
01:35:50,600 --> 01:35:53,200
Speaker 1: to the pure crystal ball. If I crystal Ball and

1802
01:35:53,240 --> 01:35:54,920
Speaker 1: I really had like bat money on it, I would

1803
01:35:54,960 --> 01:36:01,240
Speaker 1: bet that you will see a noticeable You would see

1804
01:36:01,240 --> 01:36:09,240
Speaker 1: a noticeable increase in restrictions, maaning just as we can

1805
01:36:09,280 --> 01:36:13,120
Speaker 1: point to, just as we can point to like paddlefish

1806
01:36:14,000 --> 01:36:19,200
Speaker 1: snagging whatever. I think that you'll have in ten years.

1807
01:36:19,240 --> 01:36:23,720
Speaker 1: I think you'll have more examples of a fishery for

1808
01:36:24,000 --> 01:36:30,080
Speaker 1: perhaps an imperiled, low fecundity fish whatever. I think that

1809
01:36:30,160 --> 01:36:33,839
Speaker 1: you'll have some instances where people find that a resource

1810
01:36:33,920 --> 01:36:38,439
Speaker 1: is pretty limited, it's really reliant on low efficacy, and

1811
01:36:39,000 --> 01:36:43,160
Speaker 1: it might be that rather than shutting off the fishery,

1812
01:36:43,200 --> 01:36:47,520
Speaker 1: you'd have select instances where you decided to control the technology.

1813
01:36:47,840 --> 01:36:49,760
Speaker 1: I think that, like I would bet on seeing a

1814
01:36:49,880 --> 01:36:51,280
Speaker 1: handful of more examples in a.

1815
01:36:51,240 --> 01:36:53,679
Speaker 5: Place like Minnesota, where there's so many lakes, you could

1816
01:36:53,680 --> 01:36:59,679
Speaker 5: have like forward basing free lakes.

1817
01:36:58,560 --> 01:37:00,840
Speaker 1: Just like Yeah, I don't know, I don't know what

1818
01:37:00,920 --> 01:37:02,920
Speaker 1: form it'll take when I crystal ball, but I think

1819
01:37:02,960 --> 01:37:06,400
Speaker 1: that we'll have instead of us keep saying paddlefish, paddlefish, paddlefish,

1820
01:37:06,479 --> 01:37:10,160
Speaker 1: I think we'll be able to go paddlefish whatever or whatever, whatever, whatever,

1821
01:37:10,200 --> 01:37:12,920
Speaker 1: and we'll have more examples with all that set it

1822
01:37:12,920 --> 01:37:15,599
Speaker 1: has to be totally fair. With all that said, if

1823
01:37:15,680 --> 01:37:18,160
Speaker 1: you showed up in my fish shack.

1824
01:37:18,400 --> 01:37:19,880
Speaker 5: And you could go find and you.

1825
01:37:19,880 --> 01:37:22,080
Speaker 1: Said, dude, here it all is, let's hook it up,

1826
01:37:22,120 --> 01:37:27,479
Speaker 1: I would yeah, I would say, let's go now to

1827
01:37:27,520 --> 01:37:30,200
Speaker 1: continue that thought at the end of the day. At

1828
01:37:30,240 --> 01:37:32,320
Speaker 1: the Depending on what happened at the end of the day,

1829
01:37:32,400 --> 01:37:35,320
Speaker 1: I might I might have. I might also say that

1830
01:37:35,439 --> 01:37:41,840
Speaker 1: was amazing. You shouldn't be allowed to do that. I had.

1831
01:37:41,920 --> 01:37:44,840
Speaker 1: Let me give you this just a like a sort

1832
01:37:44,840 --> 01:37:47,240
Speaker 1: of closing thought from Phills. Wave me up, I'll keep

1833
01:37:47,240 --> 01:37:53,080
Speaker 1: it quick. You can hunt coyotes with thermals, and in

1834
01:37:53,040 --> 01:37:56,559
Speaker 1: the state of Living hut coyotes with thermals. We were

1835
01:37:56,600 --> 01:38:00,800
Speaker 1: out thermal hunting during deer season one time. Okay, it's

1836
01:38:00,800 --> 01:38:03,799
Speaker 1: deer season, but we're out at night thermal hunting kyotes,

1837
01:38:03,840 --> 01:38:06,120
Speaker 1: and it occurred to me, I'm like, dude, we ain't

1838
01:38:06,120 --> 01:38:10,280
Speaker 1: breaking the law, but there's some hot intel.

1839
01:38:11,600 --> 01:38:15,479
Speaker 5: There's some hot into up against that line, especially if

1840
01:38:15,520 --> 01:38:18,040
Speaker 5: you were coyote hunting at five o'clock in the morning.

1841
01:38:19,160 --> 01:38:21,160
Speaker 1: We weren't, we were at the tail end, but I'll

1842
01:38:21,160 --> 01:38:22,920
Speaker 1: just say it just occurred to me, like, dude, I

1843
01:38:22,920 --> 01:38:26,479
Speaker 1: could be like I'm kyo hunting bro, and could have

1844
01:38:26,479 --> 01:38:28,639
Speaker 1: had a feeling like, yeah, I could see someone saying

1845
01:38:28,720 --> 01:38:32,440
Speaker 1: that you can't deer hunt after you kyote hunt a thermal. Right,

1846
01:38:33,160 --> 01:38:35,880
Speaker 1: all right, thanks guys for coming out, man, I really

1847
01:38:35,920 --> 01:38:39,200
Speaker 1: appreciate it and coming out and and uh and kicking.

1848
01:38:38,880 --> 01:38:39,920
Speaker 5: This all around.

1849
01:38:42,000 --> 01:38:43,040
Speaker 3: It's a good conversation.

1850
01:38:43,120 --> 01:38:45,599
Speaker 1: It's great conversation. It's interesting. It's one of those things

1851
01:38:45,600 --> 01:38:47,320
Speaker 1: that makes everybody a little smarter you think about.

1852
01:38:48,640 --> 01:38:48,960
Speaker 5: All right.

1853
01:38:48,960 --> 01:38:51,599
Speaker 1: Thanks, thanks again to our guests, Danny Jeremy, Thanks, Man,

1854
01:38:51,680 --> 01:38:52,280
Speaker 1: appreciate it.

1855
01:38:52,280 --> 01:38:54,840
Speaker 9: Thank you,