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Speaker 1: Where the innovations in medical research have gone. And now

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Speaker 1: how affordable that is for consumers, you know, like no

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Speaker 1: different than how expensive it was to buy a PC

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Speaker 1: in the eighties and now which you can buy Board's

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Speaker 1: pretty crazy. I'm pumped about the medical research that's now

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Speaker 1: going into this technology. You know, there were a lot

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Speaker 1: of good a lot of shoulders that we stand on

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Speaker 1: in terms of medical white papers and physicians and researchers

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Speaker 1: of the past that paved the way for what we're

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Speaker 1: able to pull from. But it's pretty incredible. Like you

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Speaker 1: talk about the hunter that's going out, its being able

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Speaker 1: to monitor your sleep, get an idea on things like

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Speaker 1: sleep at you know, get an idea on your sleep cycles,

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Speaker 1: so rem sleep, light sleep, deep sleep, things that you

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Speaker 1: know a lot of folks may never even monitor before

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Speaker 1: in their life. How passively that that can be the

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Speaker 1: manage is pretty great. And then on top of that,

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Speaker 1: you get a couple of more call it involved measurements

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Speaker 1: like heart rate variability, which is just the timing between heartbeats.

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Speaker 1: You're probably familiar with. The whole stress or is just

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Speaker 1: about everybody in the market has some conversations address the

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Speaker 1: primary parameter, if not the parameter's heart rate variability out.

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Speaker 2: Here, the stakes are real. Effective preparation starts with fitness,

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Speaker 2: but it requires so much more. This show explores the tools, knowledge, resilience,

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Speaker 2: and skills needed to be ready when it matters the most.

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Speaker 2: Join me Rich Browning as we apply the decades of

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Speaker 2: wisdom I've gained through training and competition to hunting in

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Speaker 2: the back country. This is In Pursuit, brought to you

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Speaker 2: by Mouth Knocks in collaboration with Mayhem Hunt. In Pursuit

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Speaker 2: Angelo to Chico, Jake Carreri nailed it only butchered it

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Speaker 2: three times before that.

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Speaker 3: Getting on here the pressure of the Cameron your official.

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Speaker 2: Title CEO of Kayla Okayla. How long you been doing that? Oh?

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Speaker 1: I took over not but two months ago? Actually, oh wow?

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Speaker 2: Were you from originally back?

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Speaker 1: Like Texas? We're in Texas, originally from Arlington. Family lives

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Speaker 1: in Fort Worth now though, but Texas was Texas. Not

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Speaker 1: born and raised military kid that was Air Force fighter pilot,

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Speaker 1: so we were all about. I was born in South Korea,

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Speaker 1: moved about a bunch and then ended up in Texas,

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Speaker 1: and then I went to school up at Arkansas University,

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Speaker 1: Arkansas Engineering Kansas was.

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Speaker 3: Born in South Korea. I know he was his dad's

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Speaker 3: station there for either he Yeah, I don't know if

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Speaker 3: he's born there, but they lived there for a long time.

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Speaker 2: Yeah, Soul Soul, Yeah, and to Soul Oncey're talking about

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Speaker 2: going back next year. Yeah. Really, my wife's fun fact,

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Speaker 2: my wife's favorite place. We've traveled, and we've traveled all

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Speaker 2: over and she loved Korea for some reason.

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Speaker 1: I don't know.

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Speaker 2: I don't know if he's like the first because I

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Speaker 2: think that was my first overseas trip.

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Speaker 4: Was really Yeah, so you back, we've been back ever

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Speaker 4: were you just how old were.

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Speaker 3: You when you moved away from there?

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Speaker 1: Two know nothing about that. Yeah, been a lot of

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Speaker 1: place places over there, you know, for different reasons, but

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Speaker 1: not back to Salt.

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Speaker 2: But you watch you liked it because the people, Yeah,

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Speaker 2: it was it was clean, you know, for it was

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Speaker 2: super clean. People are super nice, welcoming.

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Speaker 1: You know it it's from my parents always said the

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Speaker 1: said it was one of their favorite places. Yeah. Cool.

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Speaker 2: All right, So Arkansas engineer what what uh?

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Speaker 1: Lost your engineering but then got on the computer science

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Speaker 1: side of it, so just kind of went in the

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Speaker 1: whole tech arc of it. Yeah, but CrossFit, I said, basically,

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Speaker 1: born and raised CrossFit. What you're twenty thirteen? Oh yeah,

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Speaker 1: so then you.

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Speaker 2: And Angela around the same time.

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Speaker 3: That's about when I started. Yeah, I think November.

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Speaker 4: Well everyone all right, yeah twenty yeah, yeah, that's a

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Speaker 4: good time. He's here, thirty he was doing it for

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Speaker 4: a decade with a lot of miles.

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Speaker 2: Twenty six.

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Speaker 1: He already got great going on. I know.

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Speaker 3: I got grand the hair too, I got it everywhere.

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Speaker 1: There you go, There you go.

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Speaker 4: Stress, probably female induced. I've been on a team CrossFit

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Speaker 4: team multiple years in a row, so a lot of

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Speaker 4: close contact with females, talking to them every single day.

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Speaker 3: And then uh not my wife.

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Speaker 4: My wife is great, but like being in close contact

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Speaker 4: with in close contact, I mean everyone probably gets it

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Speaker 4: what I'm saying.

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Speaker 3: So yes, no, no, and I'll just go ahead. I've

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Speaker 3: been out of colin.

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Speaker 1: I don't know what you're talking about.

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Speaker 4: Yeah, I've been there been a competition for several years

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Speaker 4: in a row with women, So that's what I attested too.

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Speaker 1: Yeah, yeah, right, there you go.

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Speaker 3: So where'd you start CrossFit at?

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Speaker 2: So?

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Speaker 1: I started at CrossFit five forty Yeah, I'll tell you

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Speaker 1: what you what was it called Uh, I think it

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Speaker 1: was just the five forty workout or something. We did

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Speaker 1: it like a little early days.

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Speaker 2: Yeah, it was BSN when I was with BSN Supplement Company.

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Speaker 2: I don't even know if they're around anymore, but they

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Speaker 2: put us when we went a little tour and we

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Speaker 2: went to CrossFit five forty in Arkansas. Yeah, well, year fourteen,

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Speaker 2: you might have been you.

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Speaker 1: I think you might have come just before I took

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Speaker 1: because I ran. I ran an affilly down there, the

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Speaker 1: south location of that gym. We had the north and

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Speaker 1: the south, so I ran that for about three and

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Speaker 1: a half years. Coach over there, and uh, I think

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Speaker 1: you were just just shortly after it. But man, it

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Speaker 1: was fun.

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Speaker 2: It was a good time. Yeah, in the Wild West

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Speaker 2: days for sure.

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Speaker 1: Yeah, well it was great too. You know. I'm I

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Speaker 1: was a little the little, little bitty regional level, but

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Speaker 1: it was a heck of a way to travel as

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Speaker 1: a young broke kid. Cause I said, dude, this is great.

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Speaker 1: I get to go to competition in Oklahoma. You went it,

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Speaker 1: get three hundred bucks hotel and was staying in some

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Speaker 1: raunchy motels there.

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Speaker 2: This night's in I think our count is traveling.

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Speaker 1: I said, yeah, it does.

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Speaker 2: Right off. Heck, yeah, man, I love it.

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Speaker 3: So coach there for a while and then what where'd

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Speaker 3: you go from there?

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Speaker 1: Yeah, so coach there while I was finishing up school.

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Speaker 1: So finished up, then launched my first company. Wanted to

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Speaker 1: get in the tech side of things of CrossFit, a

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Speaker 1: fitness of it was actually just pure tech at that point,

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Speaker 1: I said, hey, this is interesting. So because my my

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Speaker 1: whole background was fitness, it was a personal trainer before

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Speaker 1: I coached CrossFit technic. Actually don't actually have my l

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Speaker 1: one so technically never coached across fit.

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Speaker 2: Yeah, there you go, but technicality I did.

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Speaker 1: You know, when I was a young kid grew up,

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Speaker 1: my mom was a fitness instructor, and uh so it

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Speaker 1: was basically bred in the gym. I was ten and

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Speaker 1: she said, hey, either you got to do summer school

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Speaker 1: or you got to go with your older brother to

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Speaker 1: football practice. I said, I'm just going to football practice. Yeah,

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Speaker 1: so I just basically kind of hung around the gym

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Speaker 1: and then it was always always about it. So then

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Speaker 1: figured out personal training paid pretty well for a college kid,

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Speaker 1: but then fell in love with CrossFit. You know, it

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Speaker 1: just kind of became a thing.

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Speaker 3: Watched some rich YouTube videos, said hey.

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Speaker 1: I want to tell that. Yeah, no, those those are

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Speaker 1: the good times started. But yeah, that was that was

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Speaker 1: That was really it. And then you know a lot

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Speaker 1: to basically my career to CrossFit and fitness world. So

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Speaker 1: so you do tech? What just so then I got

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Speaker 1: into tech? Yeah, you you you might have to check

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Speaker 1: me on a few stories.

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Speaker 2: I like going down the road, get it. You do

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Speaker 2: a little trump weave? Yeah, that's right, it happens. Right,

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Speaker 2: It's a good way to get out of a bad question.

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Speaker 2: That's right, that's right. Weave it.

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Speaker 1: Yeah, that's right. So god in I said, hey, you know,

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Speaker 1: I'm actually you know, what can we do with this?

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Speaker 2: Tech?

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Speaker 1: Is pretty cool air? You know, graduated university twenty sixteen,

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Speaker 1: so it's a good time to do it. So stepped

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Speaker 1: out for a bit, not long, as I'll tell you

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Speaker 1: in my story here in a bit, but got into it.

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Speaker 1: First company that I launched was just a little flop

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Speaker 1: of an app. But then some members at my gym

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Speaker 1: that I ran said hey at that time no longer ran,

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Speaker 1: but they said, hey, you know what you built there,

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Speaker 1: you might actually build for our businesses. So then just

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Speaker 1: kind of went on and helped them out a little

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Speaker 1: bit just as a consulting sort of deal, got some

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Speaker 1: got my legs under me a bit and business, and

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Speaker 1: then actually ended up getting connected with a fitness chain.

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Speaker 1: It was a chain called Fitness One out in the Midwest,

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Speaker 1: big forty thousand like Lifetime Fitness kind of facilities, and

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Speaker 1: then took on as their chief technology officer, still underneath

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Speaker 1: the first company that I started, but ended up building

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Speaker 1: some pretty cool tech in that space. Got enough notice

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Speaker 1: there that I started to speak on some panels and

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Speaker 1: some conferences and stuff like that, and then one of

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Speaker 1: those Nike director met me and said, hey, you know,

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Speaker 1: after one of the times I spoke, he said, hey,

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Speaker 1: let's chat. It slided me one of his cards, and

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Speaker 1: then flew out to their headquarters and ended up working

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Speaker 1: with their innovation team for seven years Nike Nike. Yeah,

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Speaker 1: did a bunch of cool stuff out there, and then

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Speaker 1: we had a great time. Yeah. Then anyway, so about

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Speaker 1: two years ago, get a call up on the Kalo

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Speaker 1: side that said, hey, we're wanting to pivot the business.

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Speaker 1: We think we have an opportunity to bet on people's

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Speaker 1: fingers for a decade plus, but we're really interested in

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Speaker 1: this next era. You know, can you build it and say, yep,

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Speaker 1: you can do it. So did that. About four months later,

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Speaker 1: we launched our first smart ring, the Kalo Current Smart Ring,

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Speaker 1: and that was January of last year. Then we launched

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Speaker 1: our Gen two ring, the one that you and the

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Speaker 1: team now have right launch that in September and then

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Speaker 1: we've just been on a roller coaster since. So then

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Speaker 1: I took over as see O the business of that December.

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Speaker 1: It's just recent.

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Speaker 2: Yeah, you know what I'd love to hear. So you know,

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Speaker 2: obviously our our listeners are probably either hunting or getting

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Speaker 2: into hunting for sure, so you know, the metrics and

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Speaker 2: stuff some of them, you know, depends on the guy

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Speaker 2: or girl what they're looking at. But like, what are

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Speaker 2: some of the just baseline things you think are super

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Speaker 2: important somebody that's just either getting into fitness or just

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Speaker 2: trying to get healthy. What are some of the things

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Speaker 2: that you know you track within the within the ring.

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Speaker 1: Yeah, yeah, that's a great question, by the way, for

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Speaker 1: somebody who's been asked so many questions, you got some

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Speaker 1: good questions. Yeah, there you go. All right, couple, you

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Speaker 1: should consider a career. So it's uh, you know, that's

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Speaker 1: the fun part. About these the advancement in this technology,

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Speaker 1: and I'll go down a little rabbit hole for a

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Speaker 1: second full answer and take off.

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Speaker 2: I think it's awesome. I'm gonna pull up the app

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Speaker 2: too so I can look around on it what you're talking.

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Speaker 1: And that where the innovations in medical research have gone.

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Speaker 1: And now how affordable that is for consumers, you know,

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Speaker 1: like no different than how expensive it was to buy

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Speaker 1: a PC in the eighties and now which you can

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Speaker 1: buy for is pretty great and what you get from it.

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Speaker 1: I'm pumped about the medical research that's now going to

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Speaker 1: this technology. You know, there were a lot of good,

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Speaker 1: lot of shoulders that we stand on in terms of

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Speaker 1: medical white papers and physicians and researchers of the past

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Speaker 1: that paved the way for what we're able to pull from.

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Speaker 1: But it's pretty incredible, Like you talk about the hunter

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Speaker 1: that's going out, just being able to monitor your sleep,

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Speaker 1: get an idea on things like sleep apnea, get an

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Speaker 1: idea on your sleep cycles, so rem sleep, light sleep,

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Speaker 1: deep sleep, things that you know a lot of folks

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Speaker 1: may never even monitor before in their life. How passively

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Speaker 1: that that can be a manage is pretty great. And

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Speaker 1: then on top of that, you get a couple of

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Speaker 1: more call it involved measurements like heart rate variability, which

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Speaker 1: is just the timing between heartbeats. You probably familiar with

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Speaker 1: the whole stress scores. Just about everybody in the market

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Speaker 1: has some conversation stress stress. The primary parameter, if not

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Speaker 1: the parameter, is heart rate variability. You know, you can

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Speaker 1: also base it off your resting heart rate, but it's

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Speaker 1: heart rate variability and that's a that's a very important

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Speaker 1: metric for overall cardiovascular health. So it's pretty neat. My

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Speaker 1: intention behind this product was to keep it affordable for

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Speaker 1: the masses. No subscription priced ones. You pay for it,

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Speaker 1: you good to go, and so you get a get

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Speaker 1: a group of people that might not have otherwise really

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Speaker 1: not been interested in it because you know, sometimes even

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Speaker 1: I don't like wearing things on my wrists. But nice

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Speaker 1: part about it is you don't have paid subscription. But

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Speaker 1: it's also you know, especially fellas got to wear a

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Speaker 1: ring of some sort and uh, you know that's where

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Speaker 1: KLO are what we call legacy business of the silicone,

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Speaker 1: which you'll see on mono. I'm obviously wearing one of

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Speaker 1: our covers for the ring, right it it's it's just

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Speaker 1: kind of tried and true to that. So you know,

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Speaker 1: it's really sleep, heart variability, stress are the ones that

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Speaker 1: you know that that folks picking it up for the

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Speaker 1: first time would be most interested in and likely.

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Speaker 2: Right, yeah, you know, so I have wore whoop. We

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Speaker 2: won't say that after this, but for years and I'm

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Speaker 2: about I think three or four weeks of not wearing one,

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Speaker 2: right yeah, And I was kind of like, it's kind

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Speaker 2: of nice, and then put the ring back on it.

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Speaker 2: It was this morning and I've already caught myself like, oh,

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Speaker 2: you know, and it doesn't have any of my score

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Speaker 2: yet because I didn't sleep in it. Now, is it

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Speaker 2: similar to some of the others where you it it'll

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Speaker 2: learn you as you Yeah, the longer you wear it, it

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Speaker 2: kind of learns your tendencies, sleep averages, your average fitness that.

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Speaker 1: So I call those algorithms far as I call your

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Speaker 1: baseline algorithms. So it's basically like, for example, your skin temperature.

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Speaker 1: What we do there is we have a baseline that

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Speaker 1: after about four days, we have a good understanding of

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Speaker 1: what your baseline skin temperature is. And uh, and these

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Speaker 1: are the advancements that we're pushing on the research side

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Speaker 1: this year. It will come out soon. Like fever detection

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Speaker 1: basically that identify abnominalies especially in your too, but it

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Speaker 1: needs a couple of days of training on your data

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Speaker 1: to be able to do that. But that's absolutely right.

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Speaker 1: Same thing with like heart rate variability. That's one of

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Speaker 1: the ones that you know for the drinkers out there

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Speaker 1: that you get. You know, I've had that morning where

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Speaker 1: you know, you you you you feel a little woozy. Well,

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Speaker 1: the metric that you'll notice after we've trained on your

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Speaker 1: heart rate for a little while is, uh, it's gonna

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Speaker 1: be your heart rate ariability. You'll see that show up

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Speaker 1: as you know, a red zone will say hey, you

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Speaker 1: know this is this is pretty low.

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Speaker 3: It's crazy like one drink.

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Speaker 2: One drink will do that too.

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Speaker 3: Yeah, I haven't drank in almost three years.

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Speaker 2: But when I you know, I would drink couple of

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Speaker 2: times a year, three or four times, and I didn't

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Speaker 2: do the the journal where I would put it in

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Speaker 2: and you just see the next day it was crazy

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Speaker 2: one drink whatever.

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Speaker 1: Yep. But I think that's what surprises people about monitoring too.

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Speaker 1: Yeah a second, that's it. Uh.

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Speaker 4: It definitely having a fitness wearable has definitely made it

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Speaker 4: made me not like more conscious of that and then

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Speaker 4: like obviously I know I feel bad after I drink,

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Speaker 4: but it even it exacerbated it even more, Like I

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Speaker 4: just I don't want to drink if I know I

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Speaker 4: have anything going on the next day. I don't even

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Speaker 4: think about it, Like if I have to wake up

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Speaker 4: for any reason, I'm like, I'm not having a drink.

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Speaker 3: There's no way. Yeah, like it.

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Speaker 4: And like you said, I drink like maybe three or

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Speaker 4: four times a year, And even when I'm at like

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Speaker 4: at a wedding and it's like like I'm there to

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Speaker 4: have fun and party or whatever, I'm like, I don't

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Speaker 4: even know if I want to drink now, Like I'm

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Speaker 4: gonna feel awful tomorrow, Like I know that score is

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Speaker 4: gonna be horrible, Like I just know, and it's and

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Speaker 4: it's absolutely deterred me.

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Speaker 3: So probably a good thing.

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Speaker 1: Yeah, I bet it's. You know, and you're still a

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Speaker 1: little bit young too. You don't want to add to it.

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Speaker 1: I know.

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Speaker 3: I know.

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Speaker 4: One thing that I wanted to add, which is I

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Speaker 4: think actually a huge sell for what you're talking about,

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Speaker 4: for I just fitness wearables in general, about having something

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Speaker 4: that tracks tracks all the metrics you're naming. So my wife,

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Speaker 4: I don't know how it comes on, but she has

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Speaker 4: Graves disease. She didn't a year ago or she was.

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Speaker 3: It's like it's.

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Speaker 4: Hyper thyroid hyperthyroidism.

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Speaker 2: I don't know.

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Speaker 3: Hyperthyroid instead of hypo is slow. Yeah, I forget what

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Speaker 3: it's called. Yeah.

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Speaker 4: Anyways, ye, her what she was wearing at the time

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Speaker 4: started to track it and she didn't feel any different,

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Speaker 4: and she's like, this isn't right, Like I'm always waking up.

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Speaker 4: My sleep scores so low. She's like, I don't understand.

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Speaker 4: She and then she started to feel worse, and then

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Speaker 4: her her resting her.

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Speaker 3: It was like jacked up, like all night. She was

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Speaker 3: like at one hundred or higher.

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Speaker 4: She was obviously not right, and she went to the

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Speaker 4: doctor and got tested and realized she either had Graves

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Speaker 4: disease and didn't know it or developed it along the way,

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Speaker 4: and she would have not known. She would have probably

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Speaker 4: just like kind of she's honestly felt kind of crazy.

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Speaker 4: She's like, I don't like what's happening, Like why am

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Speaker 4: I messed up? Had she not had that information, it

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Speaker 4: could have like continued because she went into a thyroid storm.

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Speaker 4: I can't really explain what that is. It happened twice.

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Speaker 4: I had to take her to the er, and it

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Speaker 4: could have been worse had she not have had that.

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Speaker 4: Uh So, if that's not the if that's not a

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Speaker 4: way to get you to have something to track your

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Speaker 4: heart rate of anything, your sleep score, all that stuff, like,

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Speaker 4: it's just so important to have an idea where those

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Speaker 4: metrics are at, because she would have. She basically just like,

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Speaker 4: I think I'm being crazy. I don't know, but this

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Speaker 4: thing's saying I'm messed up.

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Speaker 1: So that's right, and it's just going to get better

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Speaker 1: and better too. Because we even had at the Consumer

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Speaker 1: Electronics Show earlier this year, FDA came out there. One

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Speaker 1: of the big pushes is you know RFK has been

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Speaker 1: he's been big about, uh, let's get ORFKA Junior. We've

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Speaker 1: been big about let's get wearables on wrists and wearables

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Speaker 1: on fingers, which has been awesome. So at a basically

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Speaker 1: service that, FDA came out and said, hey, you know,

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Speaker 1: you'll push it. Still don't claim medical device if it's

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Speaker 1: not gone through FDA, but push the envelope, especially with

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Speaker 1: AI and options here for the exact comments that you're

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Speaker 1: making there just give consumers an indication that this is

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Speaker 1: something you just could something you should go one hundred percent.

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Speaker 1: So they basically said, hey, carp Planch, go innovate. You'll

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Speaker 1: still find that line, but it's previously. You know, we

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Speaker 1: do balance a fine line today between what is wellness

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Speaker 1: advice and what's a medical suggestion. Yeah, and it is.

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Speaker 1: It's it was. It was a pretty big barrier before.

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Speaker 1: But our hope is that especially with that you the

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Speaker 1: market overall too, you'll you'll be able to see many

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Speaker 1: more stories just like that for your wife and finding

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Speaker 1: it out early on big time.

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Speaker 2: So it is one of your big markers HRV. Is

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Speaker 2: that probably one of the Is it HRV is big

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Speaker 2: heavy into the algorithm?

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Speaker 1: I guess yeah, HIV is a big one. You know,

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Speaker 1: heart rate restling, heart rate restling hard of course, you

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Speaker 1: know the one stress is a basically a derivative of

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Speaker 1: heart rate variability. It's one of those more what I

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Speaker 1: call just kind of a higher level of attraction algorithm.

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Speaker 2: Is HRV more personalized or fitness or is it a

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Speaker 2: mix of both?

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Speaker 1: So heart rate variability you can't like you can compare

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Speaker 1: a person to person within the same age range for

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Speaker 1: heart rate variability. Now, what we do is we take

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Speaker 1: your learnings of your heart a variability and then judge

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Speaker 1: it against your baseline. So that's when you'll start to

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Speaker 1: see like red yellow greens we call optimal zones. But

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Speaker 1: you can, like the two of you, well, I guess

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Speaker 1: you kind of we could probably you're a little younger. Yeah, yeah, yeah,

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Speaker 1: we could say, hey, my heart variabilities at this my

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Speaker 1: basically we so.

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Speaker 2: It's more age based than fitness based heart veriability. But

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00:18:20,280 --> 00:18:22,520
Speaker 2: resting heart rate though, resting heart rates fitness based that's

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Speaker 2: going to get you. It's just kind of been a

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Speaker 2: weird it's come on in the last probably ten or

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Speaker 2: fifteen years. It wasn't like, you know, when I was

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Speaker 2: twenty years ago, when I was in school for exercise

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Speaker 2: science wasn't a thing. No, just resting heart rate is right,

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Speaker 2: And so I'm kind of late to that party there,

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Speaker 2: and I've never really geeked out on it.

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Speaker 1: It's a ton So it's pretty great though, because it's

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Speaker 1: it's like, for example, after not drinking, your resting heart

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Speaker 1: rate might still be within line of your baseline, might

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Speaker 1: still be fine, but your HRV is what's going to

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Speaker 1: be the most notable noticeable difference. So just to simply

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Speaker 1: explain that, it's the time between heart beats, You've got

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Speaker 1: obviously your heart rate, but then it's basically that time

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Speaker 1: between heartbeats. And there are two primary ways that you

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Speaker 1: can basically calculate heart rate variability. But the reason that

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Speaker 1: I mentioned it that way is it's it's such an

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Speaker 1: interesting predictor of overall health for you and you versus

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Speaker 1: general population, and for stress, because your resting heart rate

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Speaker 1: might look good, but in fact you're still not feeling well,

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Speaker 1: and you'll actually notice the periods while wearing the ring

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Speaker 1: too that period of the day. Heck, perhaps even this conversation,

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Speaker 1: I could check mine where stress then goes up because

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Speaker 1: your heart rate variability has ticked in that direction. Yeah,

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Speaker 1: it's it's it's one of those to the point that

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Speaker 1: you're making about relatively new again, the white paper of

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Speaker 1: this stuff was written in the nineties, but it takes

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Speaker 1: that long to come down out.

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Speaker 2: It was not something that was taught when I was

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Speaker 2: doing my degree. No, that's right, So it was something

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Speaker 2: kind of new, I guess when I would say, kind

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Speaker 2: of started that. Yeah, and then what was the what's

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Speaker 2: the other.

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Speaker 1: They've done such a good job too. What I really

436
00:20:00,000 --> 00:20:01,520
Speaker 1: apreciate about the industy as a whole because there are

437
00:20:01,520 --> 00:20:05,080
Speaker 1: a couple of couple of companies that push the envelope

438
00:20:05,080 --> 00:20:07,240
Speaker 1: on research, but that's really where the rise and tide

439
00:20:07,280 --> 00:20:09,400
Speaker 1: lifts all boats, because we're all in the game of hey,

440
00:20:10,320 --> 00:20:12,120
Speaker 1: let's how do we how do we get a healthier,

441
00:20:12,640 --> 00:20:15,320
Speaker 1: longer living population. Right, how can we improve the base lifeline?

442
00:20:15,359 --> 00:20:19,359
Speaker 1: Especially for folks with undiagnosed sleep apnea, that'll completely change

443
00:20:19,359 --> 00:20:21,920
Speaker 1: You're talking about diroid and everything in between. You know,

444
00:20:22,000 --> 00:20:24,200
Speaker 1: especially especially when I was a personal trainer. You even

445
00:20:24,240 --> 00:20:26,479
Speaker 1: coaching personal trainer, you know, you get a little bit

446
00:20:26,480 --> 00:20:29,080
Speaker 1: more involved in the health of a person because they're

447
00:20:29,080 --> 00:20:30,919
Speaker 1: willing to share that with you. Yeah, you know, coaching

448
00:20:30,920 --> 00:20:33,439
Speaker 1: a class eight hundred things you're going on, You're like,

449
00:20:33,560 --> 00:20:36,639
Speaker 1: I can't talk to that person. Yeah yeah, but you know,

450
00:20:36,680 --> 00:20:39,119
Speaker 1: you frequently get cases like that, we say, hey, actually,

451
00:20:39,119 --> 00:20:41,760
Speaker 1: you know you might have undiagnosed X Y Z or

452
00:20:41,920 --> 00:20:44,080
Speaker 1: just kind of go recommend talking to a doctor. That's

453
00:20:44,119 --> 00:20:46,440
Speaker 1: where the market's headed towards, and so heart rate variability.

454
00:20:46,560 --> 00:20:48,399
Speaker 1: You're right, they've did a great job just bringing that

455
00:20:48,440 --> 00:20:51,600
Speaker 1: to the surface. For example, one of the algorithms developed

456
00:20:51,640 --> 00:20:55,760
Speaker 1: even before them being around stress. Using heart variability as

457
00:20:55,800 --> 00:20:59,760
Speaker 1: a parameter to create a stress style score was just

458
00:20:59,760 --> 00:21:01,920
Speaker 1: such a great way to communicate that to consumers, because

459
00:21:01,960 --> 00:21:04,440
Speaker 1: consumer is going to say, uh, the everyday person rather,

460
00:21:04,440 --> 00:21:05,760
Speaker 1: it's just going to say, how do I need to

461
00:21:06,119 --> 00:21:10,160
Speaker 1: he because HRV? But stress? Care about my stress? Stress?

462
00:21:10,240 --> 00:21:10,800
Speaker 2: What kills you?

463
00:21:11,040 --> 00:21:15,800
Speaker 3: HRV is measured in milliseconds? Okay, and higher is better?

464
00:21:16,600 --> 00:21:16,840
Speaker 2: Right?

465
00:21:17,280 --> 00:21:23,720
Speaker 1: Uh? HRV hire better? Is going to uh, yeah, you're

466
00:21:23,800 --> 00:21:24,400
Speaker 1: right on that.

467
00:21:25,200 --> 00:21:25,680
Speaker 2: Your age.

468
00:21:26,000 --> 00:21:30,240
Speaker 4: Yeah, well, because we have a friend, his is normally

469
00:21:30,560 --> 00:21:34,879
Speaker 4: just naturally high. Aj his is naturally really high. And

470
00:21:35,000 --> 00:21:38,640
Speaker 4: is that measuring? Sorry, people try to I try to

471
00:21:38,960 --> 00:21:41,240
Speaker 4: explain it, and I don't know how to.

472
00:21:41,359 --> 00:21:42,120
Speaker 3: So I'm interested.

473
00:21:42,640 --> 00:21:45,080
Speaker 2: How do you measure the time between your heartbeats? If

474
00:21:45,080 --> 00:21:47,679
Speaker 2: you're resting? Heart rates the same? Wouldn't it technically be

475
00:21:47,800 --> 00:21:49,440
Speaker 2: the same between.

476
00:21:49,119 --> 00:21:52,240
Speaker 4: You know, it's not like because is it measuring the

477
00:21:52,440 --> 00:21:53,960
Speaker 4: difference between.

478
00:21:55,400 --> 00:21:57,240
Speaker 3: Because I always thought it was like that.

479
00:21:57,480 --> 00:21:59,480
Speaker 4: It's measuring the time between this one and this one,

480
00:22:00,080 --> 00:22:01,560
Speaker 4: pose to this one and this one, so like this

481
00:22:01,600 --> 00:22:04,080
Speaker 4: one to that one, maybe two hundred milliseconds this one

482
00:22:04,080 --> 00:22:06,600
Speaker 4: may be one hundred milliseconds, so my hr.

483
00:22:06,520 --> 00:22:07,600
Speaker 1: V is one hundred?

484
00:22:07,920 --> 00:22:09,840
Speaker 3: Is that right? Does that make any sense? Does anyone

485
00:22:09,880 --> 00:22:10,600
Speaker 3: understand what I'm saying?

486
00:22:10,680 --> 00:22:12,320
Speaker 1: Yeah, So the two it's kind of been there's been

487
00:22:12,320 --> 00:22:17,400
Speaker 1: too popularized ways of calculating. Uh, basically basically the deviation

488
00:22:17,480 --> 00:22:21,479
Speaker 1: between al right, that and the one that we go with.

489
00:22:21,520 --> 00:22:23,119
Speaker 1: So it's called r M s s D is the

490
00:22:23,119 --> 00:22:29,439
Speaker 1: acronym for it. So basically, uh, White papers for this

491
00:22:29,560 --> 00:22:33,680
Speaker 1: written kind of the nineties and uh about that time.

492
00:22:33,720 --> 00:22:35,000
Speaker 1: I think it's one of the first ones. But we

493
00:22:35,280 --> 00:22:36,679
Speaker 1: may actually be able to pull it up here if

494
00:22:36,680 --> 00:22:38,000
Speaker 1: that's a part of the flow.

495
00:22:38,240 --> 00:22:40,880
Speaker 2: I love love pulling up rock for it to.

496
00:22:40,840 --> 00:22:45,040
Speaker 1: Do a better explanation there. And uh r M and

497
00:22:45,440 --> 00:22:47,879
Speaker 1: r M SSD Yeah. Yeah.

498
00:22:47,960 --> 00:22:54,160
Speaker 4: For HRV yep, root means square of successive differences. Those

499
00:22:54,160 --> 00:22:56,280
Speaker 4: are three words for me. Is a primary time to

500
00:22:56,320 --> 00:22:59,480
Speaker 4: main measure of heart rate variability used to assess short

501
00:22:59,560 --> 00:23:03,720
Speaker 4: term pair a sympathetic nervous system vaguel activity and calculates

502
00:23:03,760 --> 00:23:07,720
Speaker 4: the square root of the mean and squared of squared

503
00:23:07,760 --> 00:23:10,320
Speaker 4: differences between adjacent normal heartbeats.

504
00:23:10,480 --> 00:23:12,600
Speaker 2: Takes the average and then.

505
00:23:12,640 --> 00:23:15,880
Speaker 3: It calculates the square. Yeah, it calculates the square root

506
00:23:15,960 --> 00:23:20,640
Speaker 3: of the mean of squared differences between adjacent Okay, so yeah,

507
00:23:20,680 --> 00:23:21,840
Speaker 3: we don't really need to get into it.

508
00:23:22,040 --> 00:23:27,040
Speaker 4: Right, That's that's where you're the actual.

509
00:23:26,760 --> 00:23:28,919
Speaker 1: Formula behind it. Yeah, yeah, you know, a little bit

510
00:23:28,920 --> 00:23:30,160
Speaker 1: of a quadratic equation.

511
00:23:30,320 --> 00:23:31,919
Speaker 3: A lot harder than what I thought it was.

512
00:23:32,000 --> 00:23:36,080
Speaker 1: Correct, it's not. It's not as something you can That's why.

513
00:23:36,240 --> 00:23:38,080
Speaker 3: That's why it goes on behind the app and I

514
00:23:38,080 --> 00:23:39,080
Speaker 3: don't have to mess with it.

515
00:23:39,119 --> 00:23:41,600
Speaker 1: That's right, correct, it's a little it's a little bit

516
00:23:41,640 --> 00:23:43,159
Speaker 1: harder too.

517
00:23:44,040 --> 00:23:45,280
Speaker 2: They didn't teach you that at paramedics.

518
00:23:46,520 --> 00:23:48,480
Speaker 1: That'd be some impressive math of the fat Yeah, that's

519
00:23:48,480 --> 00:23:54,240
Speaker 1: basically so was was that as it became again popularized

520
00:23:54,280 --> 00:23:57,720
Speaker 1: really in the last fifteen years or so. But that's

521
00:23:57,760 --> 00:24:00,479
Speaker 1: been you know from the exercise science background, is that

522
00:24:02,320 --> 00:24:04,119
Speaker 1: the field of I can't remember where I heard this,

523
00:24:04,160 --> 00:24:06,480
Speaker 1: but I loved it. It was years ago. Basically, guy said,

524
00:24:06,840 --> 00:24:10,199
Speaker 1: you know, our population is taking health seriously when the

525
00:24:10,200 --> 00:24:16,080
Speaker 1: big schools start to support exercise science physiology style degrees. Yeah,

526
00:24:16,280 --> 00:24:18,600
Speaker 1: kind of basically if you said, if all of a sudden,

527
00:24:18,880 --> 00:24:20,639
Speaker 1: they might By the way, I don't know this, I

528
00:24:20,640 --> 00:24:23,320
Speaker 1: haven't checked the curriculum the last five years. But if

529
00:24:23,800 --> 00:24:27,920
Speaker 1: if John Hopkins said, hey, we've got a nutrition program, right, yeah,

530
00:24:27,960 --> 00:24:31,359
Speaker 1: and they might folks may check us on that, But

531
00:24:31,440 --> 00:24:33,160
Speaker 1: at least at that time when we said that's that's

532
00:24:33,200 --> 00:24:36,159
Speaker 1: exactly right. And I hope the seriousness of the science

533
00:24:36,240 --> 00:24:38,320
Speaker 1: is just for informing folks of what might be.

534
00:24:38,440 --> 00:24:40,720
Speaker 2: Almost preemptive instead of reactive.

535
00:24:40,840 --> 00:24:41,040
Speaker 1: You know.

536
00:24:41,119 --> 00:24:43,080
Speaker 2: That's I think the big thing that's what we try

537
00:24:43,080 --> 00:24:45,240
Speaker 2: to push is like, hey, let's try to get ahead

538
00:24:45,240 --> 00:24:47,720
Speaker 2: of that problem before you it becomes a problem. Yeah.

539
00:24:47,920 --> 00:24:51,320
Speaker 4: Right, Yeah, that's the whole thing with I mean CrossFit

540
00:24:51,440 --> 00:24:53,760
Speaker 4: is it should all be like it should all be

541
00:24:53,840 --> 00:24:56,000
Speaker 4: like Domino's. Like if you show up and you work out.

542
00:24:56,040 --> 00:24:58,720
Speaker 4: I mean you guys understand, you show up to the gym.

543
00:24:58,960 --> 00:25:00,920
Speaker 4: Let's just say you' showing up to the hour day.

544
00:25:01,320 --> 00:25:04,040
Speaker 4: Then that bleeds into other parts of your life. You're like, well,

545
00:25:04,119 --> 00:25:06,000
Speaker 4: I mean I don't like to eat a nutrition Yeah,

546
00:25:06,000 --> 00:25:07,159
Speaker 4: I don't want to eat a cookie before I go

547
00:25:07,160 --> 00:25:08,480
Speaker 4: work out. I feel like crap when I do that,

548
00:25:08,600 --> 00:25:10,560
Speaker 4: like I might have something a little better and then like, oh,

549
00:25:10,600 --> 00:25:12,919
Speaker 4: after I work out, for sure. This is something my

550
00:25:12,960 --> 00:25:14,720
Speaker 4: wife said, She's like Basically, she doesn't want to waste

551
00:25:14,760 --> 00:25:17,280
Speaker 4: to work out. She's like, if I'm gonna work out,

552
00:25:17,320 --> 00:25:19,080
Speaker 4: I'm not gonna go eat a piece of cake, Like

553
00:25:19,240 --> 00:25:21,520
Speaker 4: I'm gonna go eat something healthy because I don't want to.

554
00:25:21,480 --> 00:25:22,600
Speaker 2: Shocked opposite of what I do.

555
00:25:22,840 --> 00:25:25,960
Speaker 4: Yeah, yeah, we just pushed the envelope so much and

556
00:25:25,960 --> 00:25:27,560
Speaker 4: we're like, oh yeah, I earned it.

557
00:25:27,800 --> 00:25:29,840
Speaker 1: You know you you mentioned something fun there though, and

558
00:25:29,880 --> 00:25:32,600
Speaker 1: that's where and again you kind of got to skirt

559
00:25:32,600 --> 00:25:35,800
Speaker 1: this line of what you call it, but basically you

560
00:25:35,840 --> 00:25:40,560
Speaker 1: get into glucose insights. Yeah, blood sugar insights, and well

561
00:25:40,800 --> 00:25:43,199
Speaker 1: that's gonna be that's one that you'll probably see over

562
00:25:43,240 --> 00:25:46,680
Speaker 1: the next eighteen months two years really start to come out.

563
00:25:46,840 --> 00:25:49,800
Speaker 1: And the consumer population is pretty cool because again basically

564
00:25:49,880 --> 00:25:51,600
Speaker 1: what the FDA allowed us to be able to do

565
00:25:51,720 --> 00:25:54,439
Speaker 1: is along those lines saying, hey, you know, if you

566
00:25:54,480 --> 00:25:56,840
Speaker 1: want you all want to go innovate, go bring this

567
00:25:58,359 --> 00:26:01,560
Speaker 1: glucose levels, which, again to the the average average person,

568
00:26:01,600 --> 00:26:04,080
Speaker 1: they're not gonna care too much about glucose levels. But

569
00:26:04,119 --> 00:26:06,520
Speaker 1: like I found out, like I had naturally low blood

570
00:26:06,520 --> 00:26:08,880
Speaker 1: sugar because I was on the back of a Southwest plain.

571
00:26:09,320 --> 00:26:12,159
Speaker 1: The fella sitting next to me and my wife had

572
00:26:12,200 --> 00:26:15,280
Speaker 1: a dog that was trained because he had diabetes. He

573
00:26:15,359 --> 00:26:17,080
Speaker 1: had a dog that was trained to identify whether or

574
00:26:17,080 --> 00:26:18,440
Speaker 1: not his blood shirt was getting low. So the dog

575
00:26:18,520 --> 00:26:21,160
Speaker 1: was really friendly me. He said, hey, uh, that's that's

576
00:26:21,200 --> 00:26:24,040
Speaker 1: not supposed to actually hellow blood sugar. And sure enough,

577
00:26:24,080 --> 00:26:28,000
Speaker 1: so after that's crazy. So but but things like that,

578
00:26:28,160 --> 00:26:30,960
Speaker 1: those day to day insights, Yeah, you're gonna see even

579
00:26:31,000 --> 00:26:33,080
Speaker 1: more of those come out. Assume where we're talking about

580
00:26:33,200 --> 00:26:34,320
Speaker 1: HRV and stress.

581
00:26:34,080 --> 00:26:36,280
Speaker 2: Well, and they're not going to maybe not cause them

582
00:26:36,320 --> 00:26:39,879
Speaker 2: acute problem, but over a long yeah, several years, it

583
00:26:39,920 --> 00:26:41,439
Speaker 2: could could show a problem.

584
00:26:41,520 --> 00:26:43,760
Speaker 4: Yeah, trend, a trend in the wrong direction, or hopefully

585
00:26:43,800 --> 00:26:46,280
Speaker 4: a trend in the right direction. Yeah, that's that's that's great.

586
00:26:46,280 --> 00:26:48,400
Speaker 4: The same thing as like we were saying about like, well,

587
00:26:48,440 --> 00:26:49,680
Speaker 4: I know that my score is gonna be low in

588
00:26:49,720 --> 00:26:51,680
Speaker 4: the morning if I drink so then you're like, well,

589
00:26:51,680 --> 00:26:54,800
Speaker 4: I know based on my glucose levels, like if I

590
00:26:54,880 --> 00:26:57,679
Speaker 4: eat such and such, I'm gonna you know, my my

591
00:26:57,720 --> 00:26:59,720
Speaker 4: workout's not as good. Yes, exactly, r And it just

592
00:26:59,760 --> 00:27:04,520
Speaker 4: like slowly deters you from doing that, and yeah, make

593
00:27:04,600 --> 00:27:05,600
Speaker 4: small changes.

594
00:27:05,359 --> 00:27:08,960
Speaker 1: Yeah exactly. From athlete perspective, you put that into your

595
00:27:09,359 --> 00:27:11,359
Speaker 1: into your routine, and all of a sudden you got

596
00:27:11,359 --> 00:27:14,840
Speaker 1: a whole different Analysisah, you keep track all.

597
00:27:13,960 --> 00:27:16,719
Speaker 2: I think athlete and even general population. You know, you

598
00:27:16,760 --> 00:27:18,479
Speaker 2: see you can see those things on that I mean,

599
00:27:18,480 --> 00:27:20,200
Speaker 2: if you can see what your blood sugar does when

600
00:27:20,240 --> 00:27:21,920
Speaker 2: you drink that coke or when you eat that piece

601
00:27:21,920 --> 00:27:24,159
Speaker 2: of cake, you're like, oh, maybe you know it. It

602
00:27:24,200 --> 00:27:27,480
Speaker 2: does deter you a little bit because you're looking at it. Yeah,

603
00:27:27,640 --> 00:27:29,440
Speaker 2: but same with you know, this thing is like, oh,

604
00:27:29,480 --> 00:27:31,800
Speaker 2: I can see the measurable what's going on with my

605
00:27:31,840 --> 00:27:33,680
Speaker 2: heart rate? My you know, even if I can see

606
00:27:33,680 --> 00:27:35,960
Speaker 2: my fitness is changing because my heart rate's not getting

607
00:27:35,960 --> 00:27:39,440
Speaker 2: in so high in X workout and my heart rate

608
00:27:39,440 --> 00:27:42,040
Speaker 2: will drop off faster because I'm fitter, and you know,

609
00:27:42,119 --> 00:27:44,479
Speaker 2: those types of things and you can see it on

610
00:27:44,600 --> 00:27:46,320
Speaker 2: an app from wearing.

611
00:27:46,240 --> 00:27:49,200
Speaker 4: Yeah, I think it's all it all is any more,

612
00:27:49,280 --> 00:27:53,320
Speaker 4: data basically is always is for the most part good. Yeah,

613
00:27:53,320 --> 00:27:57,040
Speaker 4: it can be good, can be good. And just like slowly, yeah,

614
00:27:57,119 --> 00:28:00,760
Speaker 4: slowly coerce you into thinks like being cogn scent of

615
00:28:00,800 --> 00:28:03,399
Speaker 4: those things or normally you just wouldn't where you wouldn't

616
00:28:03,400 --> 00:28:05,080
Speaker 4: think or you wouldn't know, you know, you wouldn't know

617
00:28:05,480 --> 00:28:06,600
Speaker 4: how it changed you.

618
00:28:06,600 --> 00:28:07,280
Speaker 3: You just would know.

619
00:28:07,400 --> 00:28:09,239
Speaker 4: Some days you walk in and you work out and

620
00:28:09,280 --> 00:28:11,720
Speaker 4: it sucks, and then some other days you walk in,

621
00:28:11,760 --> 00:28:13,800
Speaker 4: you work out and it feels great, and you're like,

622
00:28:14,000 --> 00:28:15,919
Speaker 4: I don't if you're if you're just coming to like

623
00:28:15,920 --> 00:28:18,360
Speaker 4: a normal class workout every single day, you don't, You're not.

624
00:28:18,720 --> 00:28:21,440
Speaker 4: Maybe the athletes are tracking that stuff, you know, to

625
00:28:21,000 --> 00:28:26,520
Speaker 4: the degree of this food before workout, that food after workout,

626
00:28:26,800 --> 00:28:28,760
Speaker 4: but somebody who may not be that serious about it,

627
00:28:29,560 --> 00:28:31,880
Speaker 4: this is showing them that data. We're like, oh, okay,

628
00:28:31,920 --> 00:28:33,960
Speaker 4: that makes sense now now that I can you know,

629
00:28:34,520 --> 00:28:37,040
Speaker 4: attest those to the things that I'm doing before or

630
00:28:37,080 --> 00:28:39,160
Speaker 4: after my workout to make the next workout better.

631
00:28:39,320 --> 00:28:42,440
Speaker 1: That's right, it's all you know. Habit changed. Yeah, and

632
00:28:42,480 --> 00:28:44,880
Speaker 1: that was when someone I ran, uh, when I ran

633
00:28:44,960 --> 00:28:46,840
Speaker 1: that gym. One of the things, you know, the deal

634
00:28:46,880 --> 00:28:48,600
Speaker 1: folks come up to all the times say hey, what's

635
00:28:48,600 --> 00:28:51,280
Speaker 1: the nutrition advice? Yeah, yep, and I just started off.

636
00:28:51,480 --> 00:28:54,000
Speaker 1: I keep it simple and say, you know, say no

637
00:28:54,160 --> 00:28:56,200
Speaker 1: to three things a day. Let's just start there. That's

638
00:28:56,200 --> 00:28:58,120
Speaker 1: the diet for the next couple of weeks. Let's get

639
00:28:58,360 --> 00:29:02,200
Speaker 1: habitually consistent with no to the large coke, no to this,

640
00:29:02,200 --> 00:29:05,360
Speaker 1: that and the other. But it's that micro commitment to

641
00:29:05,360 --> 00:29:07,440
Speaker 1: have it change. You prove yourself for a thirty day

642
00:29:07,480 --> 00:29:10,320
Speaker 1: period you can commit to it. Just providing information on

643
00:29:10,360 --> 00:29:11,920
Speaker 1: the flip side, because all of a sudden you cut

644
00:29:11,920 --> 00:29:14,960
Speaker 1: out that large diet or say it's die coke. In

645
00:29:14,960 --> 00:29:18,640
Speaker 1: the mornings you drive by Sonic to pick up things

646
00:29:18,720 --> 00:29:20,600
Speaker 1: change for you and you start to see that material change.

647
00:29:20,600 --> 00:29:23,200
Speaker 1: You say, okay, great, okay, I get how this is.

648
00:29:23,200 --> 00:29:25,320
Speaker 1: Actually I feel better. I can also see.

649
00:29:25,200 --> 00:29:28,000
Speaker 2: See I can see it better. I will say. The

650
00:29:28,040 --> 00:29:31,200
Speaker 2: one thing I have not missed not tracking in the

651
00:29:31,280 --> 00:29:35,440
Speaker 2: last couple of weeks, it's sleep. Yeah, because yeah, because

652
00:29:35,840 --> 00:29:37,719
Speaker 2: if that score isn't telling me I slept bad, if

653
00:29:37,760 --> 00:29:40,080
Speaker 2: I feel all right, I'm okay, you know. But there's

654
00:29:40,160 --> 00:29:42,200
Speaker 2: days where I'm like, maybe I didn't sleep so good,

655
00:29:42,480 --> 00:29:44,240
Speaker 2: but I don't have that score. That's like, ah, you

656
00:29:44,280 --> 00:29:46,520
Speaker 2: didn't do that bad or you did bad, and it

657
00:29:46,560 --> 00:29:49,400
Speaker 2: doesn't mess with me as much. Like and I didn't

658
00:29:49,440 --> 00:29:52,480
Speaker 2: plan my training around my score or my strain or

659
00:29:52,520 --> 00:29:53,400
Speaker 2: anything like that.

660
00:29:53,520 --> 00:29:55,720
Speaker 3: Which is what you're supposed to do naturally, but it.

661
00:29:55,600 --> 00:29:58,120
Speaker 2: Did creep into your mind every once in a while

662
00:29:58,120 --> 00:30:00,200
Speaker 2: when you're like, man, especially on a competition day, you

663
00:30:00,200 --> 00:30:02,520
Speaker 2: look and see red, You're like, oh, man, how do

664
00:30:02,560 --> 00:30:03,440
Speaker 2: I feel today? You know?

665
00:30:03,520 --> 00:30:05,960
Speaker 3: So there is that, like, yeah, there is that part

666
00:30:05,960 --> 00:30:06,240
Speaker 3: of it.

667
00:30:06,240 --> 00:30:10,840
Speaker 4: Right, Yeah, I actually I have a pretty decent I

668
00:30:10,840 --> 00:30:13,760
Speaker 4: had a pretty decent story with that. I can't remember.

669
00:30:13,920 --> 00:30:17,480
Speaker 4: I would one day, I did not sleep whatsoever. I

670
00:30:17,560 --> 00:30:20,000
Speaker 4: used to be a firefighter, Like, I didn't sleep at

671
00:30:20,040 --> 00:30:23,959
Speaker 4: all that night. And then I and then I'm like,

672
00:30:24,240 --> 00:30:26,240
Speaker 4: you know what, I'm just going to train today whatever,

673
00:30:26,280 --> 00:30:28,800
Speaker 4: Like I'm just gonna train normal. And I had probably

674
00:30:28,840 --> 00:30:30,960
Speaker 4: one of the best training days I had ever had

675
00:30:31,520 --> 00:30:34,760
Speaker 4: that day. So then that basically that one day was

676
00:30:34,880 --> 00:30:37,400
Speaker 4: enough to consider convince myself.

677
00:30:37,080 --> 00:30:38,800
Speaker 2: That body was probably in survival.

678
00:30:39,000 --> 00:30:42,000
Speaker 4: Yeah, yeah, I man, like, well, I have heard this

679
00:30:42,040 --> 00:30:46,360
Speaker 4: is from Andrew Huberman. The body is meant to handle

680
00:30:46,920 --> 00:30:49,520
Speaker 4: some amount of stress, like you should be able to

681
00:30:49,560 --> 00:30:52,800
Speaker 4: have a good amount of stress and continue to good

682
00:30:52,800 --> 00:30:56,040
Speaker 4: stress yet no any stress, like a large amount of

683
00:30:56,040 --> 00:30:58,040
Speaker 4: stress and be able to like you should be able

684
00:30:58,080 --> 00:31:01,600
Speaker 4: to sleep three hours a night and probably functioned exactly

685
00:31:01,600 --> 00:31:04,200
Speaker 4: the same as you should that next day. Now we're

686
00:31:04,320 --> 00:31:06,480
Speaker 4: two to two or three days in a row, probably not.

687
00:31:06,760 --> 00:31:10,400
Speaker 4: But yeah, So, like the body is meant to handle stress,

688
00:31:10,880 --> 00:31:13,240
Speaker 4: so any little inkling of stress doesn't mean you don't

689
00:31:13,360 --> 00:31:15,880
Speaker 4: you just like cower in the corner and sleep all day.

690
00:31:16,160 --> 00:31:17,760
Speaker 4: It's you have to like you have to take the

691
00:31:17,760 --> 00:31:20,200
Speaker 4: good with the bad. Like you're like, Okay, it's I've

692
00:31:20,320 --> 00:31:22,240
Speaker 4: got a bad score today, I'm gonna still try to

693
00:31:22,280 --> 00:31:22,920
Speaker 4: work out today.

694
00:31:22,960 --> 00:31:24,880
Speaker 3: It may not be the best. And then on second

695
00:31:24,920 --> 00:31:25,520
Speaker 3: day in a row.

696
00:31:25,480 --> 00:31:28,600
Speaker 4: Okay, maybe we take it easy, but like try I've

697
00:31:28,640 --> 00:31:30,960
Speaker 4: always tried to. If there's one score that comes up bad,

698
00:31:31,040 --> 00:31:33,400
Speaker 4: I'm like, I'm probably gonna try to push it here.

699
00:31:33,800 --> 00:31:35,640
Speaker 3: But then two three in a row, I'm gonna try

700
00:31:35,640 --> 00:31:36,120
Speaker 3: to be smart.

701
00:31:36,680 --> 00:31:36,920
Speaker 1: Yep.

702
00:31:37,320 --> 00:31:39,400
Speaker 4: So yeah, I mean I think the body is meant

703
00:31:39,440 --> 00:31:41,160
Speaker 4: to handle some stress, and you're supposed to put it

704
00:31:41,200 --> 00:31:44,160
Speaker 4: through some stress. And then there's there's obviously times where

705
00:31:44,200 --> 00:31:47,000
Speaker 4: you should relax, but putting it through stress is good.

706
00:31:47,240 --> 00:31:50,120
Speaker 2: So you guys are you've got the ring? Yep, that's

707
00:31:50,240 --> 00:31:52,240
Speaker 2: you said kind of legacy. You guys have been on

708
00:31:52,560 --> 00:31:55,240
Speaker 2: fingers or Kayla has been on fingers for ye.

709
00:31:55,560 --> 00:31:58,600
Speaker 1: A long time.

710
00:31:59,400 --> 00:32:00,840
Speaker 2: I remember the game to us at the Games and

711
00:32:00,840 --> 00:32:02,960
Speaker 2: they were sponsored the Games that's when I started winning

712
00:32:03,000 --> 00:32:08,680
Speaker 2: rubber ring. So what do you guys think the difference is?

713
00:32:08,720 --> 00:32:13,760
Speaker 2: Obviously you know there's more optimal places for heart rate monitors.

714
00:32:13,920 --> 00:32:16,200
Speaker 2: I mean chest strap would probably be the number one

715
00:32:16,280 --> 00:32:18,880
Speaker 2: and most accurate. Then you go risking.

716
00:32:20,160 --> 00:32:26,960
Speaker 1: Too, is that chest basically take pulse here, strap, crutch

717
00:32:27,080 --> 00:32:29,720
Speaker 1: chest here is core body temperature and this is one

718
00:32:29,720 --> 00:32:35,400
Speaker 1: we're actually exploring. So generally with wearables primarily measure skin temperature,

719
00:32:35,560 --> 00:32:38,480
Speaker 1: which is kind of a safe way as saying, let's

720
00:32:38,560 --> 00:32:42,440
Speaker 1: use this for baseline not absolute values, so you compared

721
00:32:42,520 --> 00:32:47,560
Speaker 1: to you versus saying it's ninety six point seven degrees whatnot,

722
00:32:47,600 --> 00:32:49,800
Speaker 1: that's where you're at. Core body temperature is better for

723
00:32:49,840 --> 00:32:53,520
Speaker 1: that because with heart rate devices, your body temperature does

724
00:32:53,560 --> 00:32:55,800
Speaker 1: actually matter. So for example, if you go right into

725
00:32:55,840 --> 00:32:58,760
Speaker 1: a workout not warmed up, it's going to take most

726
00:32:58,800 --> 00:33:00,880
Speaker 1: trackers a little bit of time to catch out further

727
00:33:00,960 --> 00:33:04,160
Speaker 1: they are from your chest. There's there's there's some interesting

728
00:33:04,160 --> 00:33:04,640
Speaker 1: insights there.

729
00:33:04,640 --> 00:33:08,880
Speaker 2: But anyway, so is there much difference between the wrists

730
00:33:08,920 --> 00:33:11,920
Speaker 2: and the finger? And then also the big push with

731
00:33:12,040 --> 00:33:13,440
Speaker 2: us was that we were supposed to wear it on

732
00:33:13,440 --> 00:33:16,400
Speaker 2: our index finger and I cannot bring myself to wear

733
00:33:16,520 --> 00:33:17,120
Speaker 2: two rings.

734
00:33:17,320 --> 00:33:19,320
Speaker 1: Yeah, well you're good on that. I wear mine.

735
00:33:20,680 --> 00:33:22,520
Speaker 2: I just wanted to make sure because when I saw

736
00:33:22,560 --> 00:33:23,960
Speaker 2: you wearing it, I was like, okay, I don't because

737
00:33:24,000 --> 00:33:26,000
Speaker 2: you're good. Yeah. Bella was trying to push us to

738
00:33:26,000 --> 00:33:28,280
Speaker 2: put She's like, you gotta size your index finger blah

739
00:33:28,320 --> 00:33:31,800
Speaker 2: blah blah, and I said I won't do it. She said, well,

740
00:33:31,880 --> 00:33:33,600
Speaker 2: they that's where they want you to. And I'm like,

741
00:33:33,960 --> 00:33:35,800
Speaker 2: I won't. Wait. Do you want it to be authentic

742
00:33:35,840 --> 00:33:37,240
Speaker 2: and you want me to wear it, I'm gonna put

743
00:33:37,280 --> 00:33:39,520
Speaker 2: on my ring fingers wearing two rings. I'm just not.

744
00:33:39,640 --> 00:33:42,280
Speaker 2: I'm not a two ring guy. If you are, or

745
00:33:42,320 --> 00:33:43,640
Speaker 2: power to you, I'm just not.

746
00:33:44,480 --> 00:33:46,760
Speaker 1: You get a little jeweled up there, that's right. Well

747
00:33:46,960 --> 00:33:48,480
Speaker 1: I used to be all went through a face where

748
00:33:48,480 --> 00:33:49,640
Speaker 1: I had to just wear it all kinds of a

749
00:33:49,720 --> 00:33:51,560
Speaker 1: dazzle jewelry. There you go anymore?

750
00:33:51,680 --> 00:33:52,600
Speaker 2: And then I met my wife.

751
00:33:52,680 --> 00:33:55,760
Speaker 1: She said, no, get ready of your ripped jeans. Yeah,

752
00:33:56,120 --> 00:33:59,960
Speaker 1: have it done? Uh so the four factor ring verse

753
00:34:00,640 --> 00:34:03,080
Speaker 1: or finger versus wrists. You know, like you said with

754
00:34:03,120 --> 00:34:05,120
Speaker 1: heart rate heart rate, if you want most accurate tracking

755
00:34:05,160 --> 00:34:08,279
Speaker 1: during activity, it's gonna be that chest strap. But the

756
00:34:08,320 --> 00:34:12,160
Speaker 1: reality is you get day to day recovery style metrics.

757
00:34:12,600 --> 00:34:15,399
Speaker 1: Ring or your finger's great for that. The form fact

758
00:34:15,440 --> 00:34:18,040
Speaker 1: of the wrist, which can be great too, and we're

759
00:34:18,080 --> 00:34:20,120
Speaker 1: exploring some options there, which of course we'll talk about

760
00:34:20,120 --> 00:34:23,640
Speaker 1: hand in a little second. Is primarily because you have a

761
00:34:23,719 --> 00:34:27,800
Speaker 1: larger surface area to measure, so during activity it's more consistent,

762
00:34:28,360 --> 00:34:30,880
Speaker 1: whereas fingers, like if we went and did a kettlebell workout,

763
00:34:31,200 --> 00:34:33,200
Speaker 1: because we're going to be restricting blood flow, it's gonna

764
00:34:33,200 --> 00:34:35,000
Speaker 1: be a little harder or be consistent. I'm measuring for

765
00:34:35,040 --> 00:34:37,480
Speaker 1: the fingers, but generally the blood vessels and your fingers

766
00:34:37,520 --> 00:34:41,160
Speaker 1: are pretty good for that. The recommended finger is non

767
00:34:41,280 --> 00:34:45,960
Speaker 1: dominant index primarily because you use that hand less, so

768
00:34:46,000 --> 00:34:47,560
Speaker 1: the more your hand's at rest, if you just had

769
00:34:47,560 --> 00:34:50,040
Speaker 1: your hand flat all day, we're gonna get perfect measurements

770
00:34:50,040 --> 00:34:53,560
Speaker 1: from your hand. But since that's dynamic, moving moving, that's

771
00:34:53,600 --> 00:34:56,359
Speaker 1: exactly right. Blood flow is restricting. That's where you can

772
00:34:56,400 --> 00:34:58,760
Speaker 1: adjust it. So when I'm working out, I'll actually switch

773
00:34:58,760 --> 00:35:00,360
Speaker 1: it over if I'm doing a run or something sort

774
00:35:00,760 --> 00:35:02,759
Speaker 1: just for more consistency, and you can actually know while

775
00:35:02,800 --> 00:35:06,480
Speaker 1: you're tracking that live you might be you might be

776
00:35:06,480 --> 00:35:09,920
Speaker 1: a good place. But it really fit matters most. Yeah,

777
00:35:09,960 --> 00:35:11,920
Speaker 1: so if it fits well there, you're gonna be a

778
00:35:12,000 --> 00:35:14,400
Speaker 1: good place. If it's a little loose and like for me,

779
00:35:14,520 --> 00:35:16,280
Speaker 1: my index is a little thicker, so it actually fits

780
00:35:16,360 --> 00:35:16,839
Speaker 1: really well.

781
00:35:16,840 --> 00:35:20,719
Speaker 2: Here my ring fingers skinny, way smaller than all my

782
00:35:20,760 --> 00:35:21,360
Speaker 2: other fingers.

783
00:35:21,680 --> 00:35:23,960
Speaker 1: There you go. Yeah, but that's that's a big thing,

784
00:35:24,040 --> 00:35:26,400
Speaker 1: is getting on how often it's moving.

785
00:35:26,600 --> 00:35:30,560
Speaker 4: Yeah, yeah, that makes sense that it doesn't really matter

786
00:35:30,600 --> 00:35:32,520
Speaker 4: where it is. As long as it's there all the

787
00:35:32,560 --> 00:35:34,560
Speaker 4: time or a lot of the time, then it's going

788
00:35:34,600 --> 00:35:36,640
Speaker 4: to start to get trends like it doesn't.

789
00:35:37,400 --> 00:35:40,480
Speaker 3: There's no consistency. Yeah, the consistency of wearing it matters

790
00:35:40,520 --> 00:35:43,279
Speaker 3: more than where you're wearing it, how it's wearing it.

791
00:35:43,520 --> 00:35:46,200
Speaker 2: You can't how often or what's the battery life on

792
00:35:46,239 --> 00:35:48,200
Speaker 2: these things, you'll get slimmering.

793
00:35:48,920 --> 00:35:51,360
Speaker 1: Yeah, So since you have control of like if you

794
00:35:51,400 --> 00:35:52,080
Speaker 1: go into your ring.

795
00:35:51,960 --> 00:35:55,719
Speaker 2: Set, I turned on the beta uh on activity because

796
00:35:55,719 --> 00:35:57,400
Speaker 2: I'm not going on my phone to turn on an

797
00:35:57,400 --> 00:35:58,400
Speaker 2: activity exactly.

798
00:35:58,400 --> 00:36:00,640
Speaker 1: You turn that on, you'll get slimmering. You'll about five

799
00:36:00,760 --> 00:36:02,920
Speaker 1: six days off of that. You turn that off. I

800
00:36:03,000 --> 00:36:05,160
Speaker 1: want to take the charge power.

801
00:36:06,040 --> 00:36:08,920
Speaker 2: So that was The nice thing about the other brand

802
00:36:08,960 --> 00:36:11,120
Speaker 2: that we will not name is you just slid the

803
00:36:11,160 --> 00:36:13,400
Speaker 2: charger on so it never came off. Yeah, which is

804
00:36:13,400 --> 00:36:15,680
Speaker 2: a good thing and a bad thing. My wrists they're

805
00:36:15,719 --> 00:36:18,279
Speaker 2: just now starting to recover that they were burnt. And

806
00:36:18,360 --> 00:36:20,200
Speaker 2: I sweat so much, and I would, you know, forget

807
00:36:20,200 --> 00:36:21,960
Speaker 2: to switch it for a day or two, and then

808
00:36:22,000 --> 00:36:23,960
Speaker 2: I'd start to like it eat away at my skin

809
00:36:24,320 --> 00:36:25,839
Speaker 2: just from like the constant use.

810
00:36:26,040 --> 00:36:26,279
Speaker 1: Yeah.

811
00:36:26,400 --> 00:36:28,920
Speaker 4: Well he also doesn't shower, but once a week. You know,

812
00:36:29,000 --> 00:36:30,719
Speaker 4: I showered too much, I guess because it would just

813
00:36:30,719 --> 00:36:31,719
Speaker 4: get wet when I sweat.

814
00:36:31,760 --> 00:36:33,360
Speaker 1: So yeah, that might be the conversation.

815
00:36:36,040 --> 00:36:39,520
Speaker 2: It's good now, but uh, you know, having options like

816
00:36:39,560 --> 00:36:42,160
Speaker 2: you're saying, yeah, you know with maybe something coming out

817
00:36:42,200 --> 00:36:44,879
Speaker 2: for the wrist or the chest would be nice. Man.

818
00:36:44,920 --> 00:36:47,280
Speaker 2: I got to you know, where I was wearing war whoop.

819
00:36:47,360 --> 00:36:51,000
Speaker 2: I think for six years straight, I think without a break. Yeah,

820
00:36:51,080 --> 00:36:53,000
Speaker 2: minus like one of our hunting trips. I think we

821
00:36:53,000 --> 00:36:56,239
Speaker 2: were out for like seven eight days and sids. Yeah

822
00:36:56,239 --> 00:36:59,680
Speaker 2: we lost service. It was it just didn't retro two

823
00:36:59,719 --> 00:37:02,400
Speaker 2: or three the days. But anyway, but then so I

824
00:37:02,400 --> 00:37:04,880
Speaker 2: got out of the habit started swimming again, and I

825
00:37:04,920 --> 00:37:07,239
Speaker 2: even bought like a garment, nice garment because we're gonna

826
00:37:07,239 --> 00:37:09,879
Speaker 2: do an iron Man triathlon and I just don't even

827
00:37:09,880 --> 00:37:11,360
Speaker 2: put it on. I'm like, oh, do it when I

828
00:37:11,440 --> 00:37:13,080
Speaker 2: run so I can look at my paces on the run.

829
00:37:13,120 --> 00:37:16,680
Speaker 2: But even on the swim, I'm like, namn good. Yeah,

830
00:37:16,760 --> 00:37:18,440
Speaker 2: I can look at the clock. Yeah, you know, so

831
00:37:18,520 --> 00:37:20,760
Speaker 2: I do like that. I don't even have a forethought

832
00:37:20,800 --> 00:37:23,239
Speaker 2: to this. It's just there other than it's silver right now,

833
00:37:23,239 --> 00:37:25,279
Speaker 2: and I'm used to not seeing silver, so it is

834
00:37:25,320 --> 00:37:28,239
Speaker 2: catching me. Uh, it's usually just black or gray ring.

835
00:37:28,400 --> 00:37:30,040
Speaker 1: Yeah, I heard of they hurt the team. You're the

836
00:37:30,040 --> 00:37:32,400
Speaker 1: only silver, so everybody else.

837
00:37:34,520 --> 00:37:37,440
Speaker 4: I would do silver too. Yeah, yeah, old guy, that's

838
00:37:37,480 --> 00:37:39,879
Speaker 4: what I mean. Silver is when I is my wedding band.

839
00:37:40,560 --> 00:37:43,960
Speaker 4: I just got the tat, so I don't have the tat. Yeah, Dre,

840
00:37:44,120 --> 00:37:47,279
Speaker 4: did you meet Dre frosted tips? Maybe it wasn't there

841
00:37:47,320 --> 00:37:50,640
Speaker 4: when you came by frost You can't. Yeah, you couldn't

842
00:37:50,680 --> 00:37:52,920
Speaker 4: possibly if you were if you were back there. Well,

843
00:37:52,960 --> 00:37:55,160
Speaker 4: he tattooed it on me. I showed it to my wife.

844
00:37:55,920 --> 00:37:56,840
Speaker 2: You did I did not?

845
00:37:56,960 --> 00:37:58,160
Speaker 3: Oh you didn't know that Dre did this?

846
00:37:58,880 --> 00:38:00,879
Speaker 4: Yeah, my wife and the gem I said, I guess

847
00:38:00,880 --> 00:38:05,560
Speaker 4: I'm gonna show you, and she's like, what, that's a tattoo.

848
00:38:06,080 --> 00:38:08,799
Speaker 3: I actually got that tattooed on me. She she likes it,

849
00:38:08,840 --> 00:38:09,360
Speaker 3: but she didn't.

850
00:38:09,440 --> 00:38:11,000
Speaker 1: You didn't brief her on this. You just said, Hey,

851
00:38:11,440 --> 00:38:12,080
Speaker 1: you just got it.

852
00:38:12,160 --> 00:38:13,680
Speaker 3: Yeah, we just did it at lunch one day.

853
00:38:14,840 --> 00:38:15,600
Speaker 1: She was good with that.

854
00:38:16,280 --> 00:38:17,920
Speaker 2: I was gonna I was gonna do it, and my

855
00:38:18,000 --> 00:38:19,759
Speaker 2: wife flipped her lip. Yeah.

856
00:38:19,760 --> 00:38:20,640
Speaker 3: I didn't give her a chance.

857
00:38:21,000 --> 00:38:22,960
Speaker 1: Yeah, my wife would have just called me. She's Australion,

858
00:38:23,080 --> 00:38:24,360
Speaker 1: so she did. She would call me a couple of

859
00:38:24,520 --> 00:38:30,319
Speaker 1: colorful words, but an idiot, let's just say that. Yeah.

860
00:38:30,400 --> 00:38:32,480
Speaker 4: She she did not like the fact that Dre did

861
00:38:32,480 --> 00:38:34,160
Speaker 4: it with his tattoo gun off Amazon.

862
00:38:34,400 --> 00:38:36,600
Speaker 2: But the one that tattooed bends butt.

863
00:38:36,760 --> 00:38:40,040
Speaker 4: Yeah, tattooed Ben's butt and his finger and anything else

864
00:38:40,120 --> 00:38:41,799
Speaker 4: the tattoo, anything else, just your button, your finger?

865
00:38:43,560 --> 00:38:46,440
Speaker 1: Did you was that unprompted? You committed to that, Ben?

866
00:38:47,800 --> 00:38:50,640
Speaker 1: But then did you have interest in a butt tattoo?

867
00:38:50,760 --> 00:38:50,920
Speaker 2: Oh?

868
00:38:51,480 --> 00:38:52,799
Speaker 1: Yeah, Ben doesn't have any.

869
00:38:52,960 --> 00:38:57,400
Speaker 3: But Ben got his bun. Oh maybe he does.

870
00:38:57,200 --> 00:38:59,840
Speaker 2: Have a Yeah, Ben and Dre this is kind of

871
00:38:59,840 --> 00:39:02,600
Speaker 2: the early days of the wild West, and Dre bought

872
00:39:02,600 --> 00:39:05,000
Speaker 2: a tattoo gun off of Amazon and.

873
00:39:05,680 --> 00:39:09,200
Speaker 4: Started tattooing himself, which he did a horrible job. He

874
00:39:09,239 --> 00:39:12,600
Speaker 4: tattooed his finger and it bled through so like the

875
00:39:12,719 --> 00:39:14,680
Speaker 4: ink just is so you can't read it.

876
00:39:14,680 --> 00:39:15,960
Speaker 3: It's so squatchy.

877
00:39:16,719 --> 00:39:19,480
Speaker 1: A tattoo gun off of Amazon. Yeah, this was just

878
00:39:19,520 --> 00:39:20,640
Speaker 1: his hobby of the weekend.

879
00:39:20,920 --> 00:39:22,439
Speaker 2: Yeah, pretty much. That's yeah.

880
00:39:22,560 --> 00:39:23,480
Speaker 1: You met Dre, that's him.

881
00:39:23,719 --> 00:39:27,640
Speaker 2: Yeah, he's very just flighty and changes his maybe six

882
00:39:27,640 --> 00:39:28,960
Speaker 2: months he's doing something different.

883
00:39:29,000 --> 00:39:31,000
Speaker 1: Yeah, like he's I feel like, hey.

884
00:39:30,960 --> 00:39:32,560
Speaker 2: We won the games. He won the Games on a team.

885
00:39:32,600 --> 00:39:36,120
Speaker 2: He did individual for several years. Team went to being

886
00:39:36,160 --> 00:39:38,560
Speaker 2: a like endurance runner.

887
00:39:38,400 --> 00:39:41,919
Speaker 4: Drive ran that twenty four forty he ran that race

888
00:39:42,200 --> 00:39:44,120
Speaker 4: on the treasurill jiu jitsu.

889
00:39:43,880 --> 00:39:46,200
Speaker 2: Got into jiu jitsu, then was a like an mm

890
00:39:46,200 --> 00:39:49,000
Speaker 2: a like real MMA fighter for a little while local

891
00:39:49,440 --> 00:39:52,040
Speaker 2: and got back into cross fit. And now you guys

892
00:39:52,040 --> 00:39:56,720
Speaker 2: are doing up. They're doing yeah really, Yeah.

893
00:39:56,400 --> 00:39:57,880
Speaker 3: His life is so interesting.

894
00:39:58,080 --> 00:40:01,640
Speaker 4: And yes he has frost is you just frosted tips, right,

895
00:40:01,800 --> 00:40:03,000
Speaker 4: So what he has.

896
00:40:05,000 --> 00:40:07,600
Speaker 2: He's got some blonde and have a Filipino and so

897
00:40:07,719 --> 00:40:12,080
Speaker 2: he just he and then now was just letting it grow.

898
00:40:12,400 --> 00:40:14,640
Speaker 2: So it looks he looks looks like his hair is

899
00:40:14,680 --> 00:40:17,200
Speaker 2: on fire. He looks like that suits jet black and

900
00:40:17,239 --> 00:40:19,480
Speaker 2: then just these like inch.

901
00:40:19,239 --> 00:40:20,520
Speaker 3: Of of bleach.

902
00:40:20,920 --> 00:40:23,680
Speaker 1: I'm assuming he's a single dude, married two kids.

903
00:40:23,719 --> 00:40:24,200
Speaker 2: Two kids.

904
00:40:25,120 --> 00:40:28,000
Speaker 3: Yeah, you would assume that her.

905
00:40:29,800 --> 00:40:32,080
Speaker 2: Then together since they were like sophomore.

906
00:40:32,680 --> 00:40:36,320
Speaker 1: Oh man, that's great. How did you meet your wife? Uh?

907
00:40:36,360 --> 00:40:38,520
Speaker 3: It is a it's complicated.

908
00:40:38,960 --> 00:40:40,439
Speaker 4: I remember when I try to tell you the story,

909
00:40:40,480 --> 00:40:43,279
Speaker 4: I was who asked Darren asked before the wedding, and

910
00:40:43,320 --> 00:40:44,600
Speaker 4: he's like, forget it.

911
00:40:44,719 --> 00:40:46,200
Speaker 3: Yeah.

912
00:40:46,840 --> 00:40:51,080
Speaker 4: Her step mom was my gym teacher and we Facebook

913
00:40:51,760 --> 00:40:54,000
Speaker 4: kept in contact on Facebook a little bit, like I

914
00:40:54,040 --> 00:40:56,520
Speaker 4: went and coached, like when I was doing cross and

915
00:40:56,600 --> 00:40:59,640
Speaker 4: I would go and like do some of the gym classes,

916
00:40:59,680 --> 00:41:02,520
Speaker 4: like put them through across the workout stay. Friends that

917
00:41:02,520 --> 00:41:05,239
Speaker 4: are on Facebook saw a picture of her stepdaughter, like, hey,

918
00:41:05,239 --> 00:41:05,919
Speaker 4: she's pretty hot.

919
00:41:06,040 --> 00:41:08,879
Speaker 3: It's twenty twenty one, so I sent her slender d MS.

920
00:41:09,400 --> 00:41:12,120
Speaker 1: Okay, so did you so you coached her for a period.

921
00:41:12,520 --> 00:41:13,960
Speaker 3: No, she did, cause.

922
00:41:15,280 --> 00:41:18,239
Speaker 4: Our webs intertwined like a dozen different times. Yeah, she

923
00:41:18,239 --> 00:41:19,600
Speaker 4: did come to my cross of the class for a

924
00:41:19,600 --> 00:41:22,960
Speaker 4: few times. Her turner stepmom and her brother came and

925
00:41:23,000 --> 00:41:24,080
Speaker 4: that had not we had.

926
00:41:24,560 --> 00:41:27,200
Speaker 3: I talked to her. She left four years later. I

927
00:41:27,200 --> 00:41:29,080
Speaker 3: sent her DM on Instagram and.

928
00:41:28,920 --> 00:41:32,800
Speaker 4: Then we just yeah, there you go. It was it's crazy.

929
00:41:32,880 --> 00:41:35,359
Speaker 4: Those the story is crazy. It's too long. It's way

930
00:41:35,400 --> 00:41:37,719
Speaker 4: too long. Everyone will these guys will freak out if

931
00:41:37,719 --> 00:41:38,319
Speaker 4: I started talking.

932
00:41:40,520 --> 00:41:43,319
Speaker 1: That's an interesting story. Ben's butt tattoo might be the

933
00:41:43,360 --> 00:41:44,399
Speaker 1: next come back.

934
00:41:44,680 --> 00:41:45,480
Speaker 2: There's nothing really.

935
00:41:45,400 --> 00:41:46,359
Speaker 3: Does there's nothing to say.

936
00:41:46,400 --> 00:41:49,080
Speaker 2: It's just a smiley face with some x's on it.

937
00:41:49,160 --> 00:41:51,120
Speaker 4: Yeah, that's what's crazy that there is nothing to say

938
00:41:51,719 --> 00:41:53,319
Speaker 4: that should tell you who these guys are.

939
00:41:54,080 --> 00:41:56,200
Speaker 2: Yeah, and who that was.

940
00:41:56,200 --> 00:41:58,200
Speaker 1: Just an afternoon I got a little bit of background

941
00:41:58,239 --> 00:42:00,239
Speaker 1: on that. I was asking a question. Good team though, yeah,

942
00:42:00,280 --> 00:42:01,080
Speaker 1: good team, great team.

943
00:42:01,600 --> 00:42:04,040
Speaker 3: All right, So where you at on the your other

944
00:42:04,239 --> 00:42:05,000
Speaker 3: wearables then?

945
00:42:05,160 --> 00:42:09,120
Speaker 1: Yeah, so we've got we've got some fun plans this year,

946
00:42:11,080 --> 00:42:13,560
Speaker 1: basically the the mo os. It's kind of what I

947
00:42:13,600 --> 00:42:18,760
Speaker 1: was talking about earlier that our motus operandi is we

948
00:42:18,800 --> 00:42:23,840
Speaker 1: want to bring reliable, tracking, accurate, durable, of course just

949
00:42:23,880 --> 00:42:28,080
Speaker 1: to the k lob brand, affordable, as we talked about,

950
00:42:28,080 --> 00:42:32,279
Speaker 1: no subscription, keep that dollar amount to something that's actually reasonable, insecure.

951
00:42:32,360 --> 00:42:35,360
Speaker 1: You know, all, we're an American brand. All data is

952
00:42:35,440 --> 00:42:39,200
Speaker 1: US based. Our servers are in New Jersey. I'm pretty

953
00:42:39,200 --> 00:42:42,800
Speaker 1: tired about that, but it's still it's basically, you know,

954
00:42:42,840 --> 00:42:45,560
Speaker 1: how do we continue to allow that performance, How do

955
00:42:45,560 --> 00:42:47,880
Speaker 1: we continue to allow that twenty four to seven reability

956
00:42:47,880 --> 00:42:52,040
Speaker 1: to work? What form factors should we explore? But my

957
00:42:52,120 --> 00:42:54,160
Speaker 1: big push is is what can we do on the

958
00:42:54,200 --> 00:42:57,320
Speaker 1: medical research side? Too? Early on we went with the

959
00:42:57,360 --> 00:43:00,399
Speaker 1: second generation ring, we already got into women's health. Great

960
00:43:00,400 --> 00:43:03,520
Speaker 1: team of medical advisors that aided in getting that feature

961
00:43:03,560 --> 00:43:06,040
Speaker 1: out there, and that was a big push And it

962
00:43:06,040 --> 00:43:07,759
Speaker 1: would be kind of a strange push too, coming from

963
00:43:07,800 --> 00:43:11,319
Speaker 1: a silicone in company, but I made it. I made

964
00:43:11,320 --> 00:43:14,239
Speaker 1: it important for us as a business because fundamentally, if

965
00:43:14,280 --> 00:43:16,960
Speaker 1: you're if you're, if you've been as we were, your

966
00:43:17,000 --> 00:43:19,400
Speaker 1: origin stories, commitment to love, commitment of partnership. You know,

967
00:43:19,440 --> 00:43:21,440
Speaker 1: Kayla the pioneer in the silicon ring space. At one

968
00:43:21,440 --> 00:43:23,319
Speaker 1: point we had eighty percent market share. Like you're saying,

969
00:43:23,600 --> 00:43:27,759
Speaker 1: cross up sponsorship and whatnot game sponsorship? Then what does

970
00:43:27,800 --> 00:43:30,480
Speaker 1: this era look like for us and and for for

971
00:43:30,560 --> 00:43:33,239
Speaker 1: me and the company. It's commitment to longevity. So how

972
00:43:33,280 --> 00:43:36,840
Speaker 1: do we bring that consistency across different forms? And you know,

973
00:43:36,840 --> 00:43:39,640
Speaker 1: I won't show exactly what I got, You've saw what

974
00:43:39,680 --> 00:43:41,520
Speaker 1: I was wearing earlier, but you know I'll give some,

975
00:43:41,920 --> 00:43:47,000
Speaker 1: give some a little teasered a part of it, and uh,

976
00:43:47,120 --> 00:43:49,480
Speaker 1: it's it's pretty exciting because it puts us in a

977
00:43:49,520 --> 00:43:52,440
Speaker 1: space where we can, you know, best best support our

978
00:43:52,680 --> 00:43:56,239
Speaker 1: audience and our customer and who's who's who's come have

979
00:43:56,320 --> 00:43:58,040
Speaker 1: become tried and true to the brand over the last

980
00:43:58,080 --> 00:44:00,799
Speaker 1: decade plus. We just want to make it something that

981
00:44:00,840 --> 00:44:02,879
Speaker 1: you know, you can go hunting in, you can go,

982
00:44:03,000 --> 00:44:05,640
Speaker 1: you can go weld and in you can you can

983
00:44:05,680 --> 00:44:08,160
Speaker 1: trust it during you know, most intense events, whether it

984
00:44:08,160 --> 00:44:09,960
Speaker 1: be you say, come from the firefighter side of things,

985
00:44:10,000 --> 00:44:12,520
Speaker 1: whether you know you're you're responding to a call, or

986
00:44:12,800 --> 00:44:14,759
Speaker 1: let's say it's just game time you know you're on

987
00:44:14,800 --> 00:44:17,239
Speaker 1: the athlete side of it, or your mom taking care

988
00:44:17,239 --> 00:44:18,799
Speaker 1: of your kids. You know, that's whole part of it

989
00:44:18,800 --> 00:44:20,000
Speaker 1: that you still need to monitor those.

990
00:44:20,040 --> 00:44:22,279
Speaker 2: So now it's just something I thought of, but I

991
00:44:22,280 --> 00:44:24,239
Speaker 2: don't even really think about it until just now. If

992
00:44:24,280 --> 00:44:27,279
Speaker 2: you're wearing both, do they talk to each other? Do

993
00:44:27,400 --> 00:44:30,360
Speaker 2: they is it more reliable? Can you do one without

994
00:44:30,400 --> 00:44:32,959
Speaker 2: the other? Can you both ways both way. It's gonna

995
00:44:32,960 --> 00:44:34,920
Speaker 2: make it. There's an interoperability to do it all.

996
00:44:34,960 --> 00:44:37,040
Speaker 1: It's cool. Cool to be able to swap take off

997
00:44:37,080 --> 00:44:39,479
Speaker 1: like I'm I'll wear one and not the other during

998
00:44:39,520 --> 00:44:41,360
Speaker 1: workouts and kind of switch back and forth depending on

999
00:44:41,400 --> 00:44:43,399
Speaker 1: what I'm doing. You know, it's a little especially with ring,

1000
00:44:43,480 --> 00:44:45,480
Speaker 1: Like ring muscle ups are a little difficult to do

1001
00:44:45,600 --> 00:44:48,239
Speaker 1: with the ring early early product testing out a couple

1002
00:44:48,239 --> 00:44:52,120
Speaker 1: of scars from making it possible. But then other areas

1003
00:44:52,120 --> 00:44:53,640
Speaker 1: it works pretty well. You know, a lot of a

1004
00:44:53,640 --> 00:44:57,239
Speaker 1: lot of long distance training, cycling whatnot. Work works pretty well.

1005
00:44:57,320 --> 00:44:59,120
Speaker 2: So I'd like not having anything on my wrist when

1006
00:44:59,120 --> 00:45:00,560
Speaker 2: I'm swimming. I don't know why, but.

1007
00:45:02,120 --> 00:45:04,719
Speaker 1: Yeah, there's something to it. So keep it, keep it clean.

1008
00:45:04,760 --> 00:45:06,920
Speaker 1: But we've got it's going to be a fun year,

1009
00:45:06,920 --> 00:45:09,719
Speaker 1: and it's it's fun for our people and and just

1010
00:45:09,800 --> 00:45:12,600
Speaker 1: our core customer to the reception of it. But one

1011
00:45:12,680 --> 00:45:14,759
Speaker 1: of my big initiais for for k Loo at the

1012
00:45:14,760 --> 00:45:18,200
Speaker 1: brand level is returning the brand to it soul how

1013
00:45:18,200 --> 00:45:21,040
Speaker 1: we talk and how we serve our core customer and

1014
00:45:21,040 --> 00:45:23,359
Speaker 1: and meet them where they're at. And uh, you know,

1015
00:45:23,400 --> 00:45:25,200
Speaker 1: we have the opportunity to do that with with this

1016
00:45:25,280 --> 00:45:27,440
Speaker 1: product and to do it in a way that you know,

1017
00:45:27,560 --> 00:45:31,120
Speaker 1: some part of our brand ethosis is UH is UH

1018
00:45:31,360 --> 00:45:33,919
Speaker 1: enabling you to keep going with the things you love

1019
00:45:34,680 --> 00:45:37,040
Speaker 1: and UH. The origin story of that was, you know,

1020
00:45:37,120 --> 00:45:40,280
Speaker 1: partnership commitment at the game time events like you mentioned

1021
00:45:40,440 --> 00:45:43,680
Speaker 1: the games, but continuing that and with health and longevity,

1022
00:45:43,719 --> 00:45:45,640
Speaker 1: saying hey, how can we support you know, for our

1023
00:45:45,640 --> 00:45:48,120
Speaker 1: folks and you're going hunting and never monitor your sleep.

1024
00:45:48,200 --> 00:45:50,800
Speaker 1: Might be pretty dang surprised by it the first couple

1025
00:45:50,840 --> 00:45:53,799
Speaker 1: of months awaring it. So we'll see how many lives

1026
00:45:53,800 --> 00:45:54,320
Speaker 1: we can help.

1027
00:45:54,160 --> 00:45:56,279
Speaker 2: With that, you know. Obviously that's our our target here

1028
00:45:56,520 --> 00:46:00,239
Speaker 2: with this this podcast is outdoors of you. You hunt

1029
00:46:00,280 --> 00:46:02,000
Speaker 2: at all, you get out there and you're gonna have

1030
00:46:02,040 --> 00:46:03,840
Speaker 2: to go on one and tech product test some stuff

1031
00:46:03,880 --> 00:46:04,160
Speaker 2: with us.

1032
00:46:04,200 --> 00:46:06,160
Speaker 1: Well, I think that's just bad happened with it. But

1033
00:46:06,760 --> 00:46:09,000
Speaker 1: you know, be in Texas and Arkanas, everybody, just about

1034
00:46:09,040 --> 00:46:12,360
Speaker 1: everybody around me went hunting. Yeah, and some good buddies

1035
00:46:12,600 --> 00:46:14,799
Speaker 1: spots some photos that send pictures from there, you know,

1036
00:46:14,880 --> 00:46:15,879
Speaker 1: trips to poland.

1037
00:46:15,680 --> 00:46:17,200
Speaker 2: Go for it.

1038
00:46:17,280 --> 00:46:20,400
Speaker 1: Yeah, somebodies that got into it. Yeah, So it was

1039
00:46:20,800 --> 00:46:23,200
Speaker 1: it was one thing, always adjacent shooting with them. But

1040
00:46:23,239 --> 00:46:27,160
Speaker 1: never really got big into into it. Yeah, but yeah, I.

1041
00:46:27,040 --> 00:46:29,040
Speaker 2: Think he'd liked the Western style of stuff, you know.

1042
00:46:29,080 --> 00:46:32,319
Speaker 2: I think that that was my my route into it

1043
00:46:32,360 --> 00:46:34,000
Speaker 2: was I was always round it growing up, but never

1044
00:46:34,040 --> 00:46:36,400
Speaker 2: really in it. Yeah, and then when I went out west,

1045
00:46:36,840 --> 00:46:38,840
Speaker 2: that's when it clicked for me, just because of the

1046
00:46:38,840 --> 00:46:41,799
Speaker 2: physical aspect of it. So I think sounds like that

1047
00:46:41,840 --> 00:46:43,719
Speaker 2: would click with you a little bit more. So we'll

1048
00:46:43,719 --> 00:46:46,480
Speaker 2: have to. I'll if you go out west, let us

1049
00:46:46,960 --> 00:46:49,839
Speaker 2: product test some stuff and let it, you know, use

1050
00:46:49,920 --> 00:46:51,000
Speaker 2: it in the backwoods and see.

1051
00:46:51,040 --> 00:46:53,319
Speaker 4: Yeah, we're both we're both late bloomers in the hunting

1052
00:46:53,360 --> 00:46:57,560
Speaker 4: space too. So like so we yeah, we knew nothing

1053
00:46:57,600 --> 00:47:00,680
Speaker 4: for I knew nothing for twenty years of my life.

1054
00:47:00,680 --> 00:47:06,120
Speaker 4: You knew nothing for twenty Yeah. So yeah, so we're

1055
00:47:06,120 --> 00:47:08,640
Speaker 4: definitely not hunting snobs by any by any means. We

1056
00:47:09,239 --> 00:47:12,880
Speaker 4: just barely know we're doing how finally, Yeah.

1057
00:47:12,600 --> 00:47:14,960
Speaker 2: But we have a lot of knowledge in the fitness side. Yeah,

1058
00:47:15,000 --> 00:47:17,200
Speaker 2: I think, you know, I don't think you'd have to

1059
00:47:17,280 --> 00:47:20,000
Speaker 2: be a hunter to understand how you have to be

1060
00:47:20,080 --> 00:47:22,279
Speaker 2: a fitness guy. You don't understand how this could help

1061
00:47:22,320 --> 00:47:25,960
Speaker 2: your you know, recovery or your training or preparation to

1062
00:47:26,000 --> 00:47:26,640
Speaker 2: go on a hunt.

1063
00:47:26,760 --> 00:47:29,120
Speaker 4: Yeah, and I think, yeah, I think it's I mean,

1064
00:47:29,160 --> 00:47:33,359
Speaker 4: I think anyone would benefit from tracking those the things

1065
00:47:33,360 --> 00:47:34,400
Speaker 4: that we've been talking about.

1066
00:47:34,880 --> 00:47:35,840
Speaker 3: I mean, even for a.

1067
00:47:35,880 --> 00:47:37,359
Speaker 2: Short amount of time, you know, yeah, for a couple

1068
00:47:37,360 --> 00:47:38,560
Speaker 2: of months, and you kind of have an idea of

1069
00:47:38,560 --> 00:47:40,719
Speaker 2: what happens. Yep, if you know, if it's something that

1070
00:47:40,760 --> 00:47:43,600
Speaker 2: you don't, you know, get into and look at every

1071
00:47:43,680 --> 00:47:46,440
Speaker 2: single day or every well you need to on a

1072
00:47:46,480 --> 00:47:48,480
Speaker 2: regular basis to start, and then you can kind of

1073
00:47:48,520 --> 00:47:51,080
Speaker 2: get an idea from there. Yeah, that's exactly right, exactly,

1074
00:47:51,080 --> 00:47:52,680
Speaker 2: that's what it's intended to be. Something you can wear,

1075
00:47:53,000 --> 00:47:56,080
Speaker 2: get the gist of it, understand your baseline, and then

1076
00:47:56,320 --> 00:47:57,600
Speaker 2: you know, check it every couple of days.

1077
00:47:57,640 --> 00:47:59,799
Speaker 1: Great, it's still working. So yeah, it's that's what you

1078
00:47:59,800 --> 00:48:01,680
Speaker 1: got going on. That's right. We're not we're not about

1079
00:48:01,680 --> 00:48:04,719
Speaker 1: giving you more homework on your body. But if your

1080
00:48:04,719 --> 00:48:06,759
Speaker 1: wife's pushing it, says, hey, you know, honey, you gotta

1081
00:48:06,760 --> 00:48:09,040
Speaker 1: start mind this is. Yeah, you gotta start checking this,

1082
00:48:09,040 --> 00:48:10,440
Speaker 1: this is this is.

1083
00:48:09,760 --> 00:48:12,080
Speaker 4: It is an easy way to do it. Yeah, I mean,

1084
00:48:12,080 --> 00:48:14,680
Speaker 4: there's there's the way you're explaining it. There's literally no

1085
00:48:14,760 --> 00:48:17,799
Speaker 4: excuse if like you do have possibly an issue or

1086
00:48:17,840 --> 00:48:19,840
Speaker 4: something that you feel like might be an issue.

1087
00:48:20,160 --> 00:48:22,400
Speaker 3: Like if you don't description, you literally just buy it

1088
00:48:22,440 --> 00:48:22,759
Speaker 3: and then.

1089
00:48:22,680 --> 00:48:24,560
Speaker 2: Don't like going to doctors, don't like waiting rooms. It's

1090
00:48:24,560 --> 00:48:26,719
Speaker 2: a good way to and you're not going to substitute

1091
00:48:26,800 --> 00:48:28,840
Speaker 2: for a doctor or true medical.

1092
00:48:28,920 --> 00:48:30,960
Speaker 3: Yeah, but you can say, but you can still.

1093
00:48:30,719 --> 00:48:32,080
Speaker 2: Look at some stuff and be like, oh yeah, my

1094
00:48:32,120 --> 00:48:33,840
Speaker 2: heart rate is, oh it is. You know, there is

1095
00:48:33,880 --> 00:48:35,759
Speaker 2: some stuff going on my sleep. There is some ap now,

1096
00:48:35,800 --> 00:48:38,239
Speaker 2: there is whatever. So that's right, and it's like all right, yeah,

1097
00:48:38,239 --> 00:48:39,480
Speaker 2: maybe I should take this serious.

1098
00:48:40,400 --> 00:48:44,040
Speaker 1: Yea undiagnosed sleep appne is a big one. Crazy and

1099
00:48:44,080 --> 00:48:45,919
Speaker 1: of course you all you know how that trickles down

1100
00:48:45,920 --> 00:48:50,160
Speaker 1: to overall cardiovascular Yeah for sure, big big bag. Yeah

1101
00:48:50,239 --> 00:48:51,120
Speaker 1: yeah that changed it.

1102
00:48:51,200 --> 00:48:53,879
Speaker 2: Well, it's crazy too. You know, people like my mom

1103
00:48:53,920 --> 00:48:56,960
Speaker 2: have sleep apnea and she's not overweight by any means

1104
00:48:56,960 --> 00:48:58,040
Speaker 2: super active.

1105
00:48:57,800 --> 00:48:59,759
Speaker 4: And just like just like it is what it is

1106
00:49:00,040 --> 00:49:02,600
Speaker 4: the windpipe or something right the or in the nose, yeah,

1107
00:49:02,640 --> 00:49:05,279
Speaker 4: whatever it is, she had the nose or the f

1108
00:49:05,400 --> 00:49:07,160
Speaker 4: I don't know which one she wears honestly, because I

1109
00:49:07,400 --> 00:49:10,400
Speaker 4: know people that the nose want it does sound rough? Yeah,

1110
00:49:10,400 --> 00:49:13,120
Speaker 4: you ever try to sleep with those No sounds tough.

1111
00:49:13,560 --> 00:49:16,480
Speaker 1: No, No, I've just just tried the nasal strips the

1112
00:49:16,520 --> 00:49:17,759
Speaker 1: other side and that was hard enough.

1113
00:49:18,480 --> 00:49:21,000
Speaker 2: Strips, aren't. I wore them for a little while. Our

1114
00:49:21,040 --> 00:49:24,160
Speaker 2: buddy Todd has some and they're great, but I just

1115
00:49:24,440 --> 00:49:26,040
Speaker 2: after a while, i'd like, in the middle of the night,

1116
00:49:26,080 --> 00:49:27,920
Speaker 2: i'd be like, I'm taking this thing off. But it

1117
00:49:28,000 --> 00:49:28,880
Speaker 2: does open you up.

1118
00:49:28,920 --> 00:49:31,640
Speaker 4: It does, which is like I don't know, but it

1119
00:49:31,719 --> 00:49:34,839
Speaker 4: just felt weird. I can't stop feeling it on my nose. Yeah,

1120
00:49:35,120 --> 00:49:37,120
Speaker 4: I can't stop looking at it, and I can't stop

1121
00:49:37,160 --> 00:49:39,319
Speaker 4: feeling it. It's like someone, you know, when someone has

1122
00:49:39,320 --> 00:49:43,080
Speaker 4: a finger right there. I can't. I can't stop feeling it.

1123
00:49:43,120 --> 00:49:45,000
Speaker 4: I'd like to wear because it sounds great, but I

1124
00:49:45,160 --> 00:49:45,920
Speaker 4: just can't do it.

1125
00:49:46,040 --> 00:49:47,960
Speaker 1: Yeah. Well, then I found out I don't even know

1126
00:49:48,000 --> 00:49:50,359
Speaker 1: if that's how they work, but apparently the strips are

1127
00:49:50,360 --> 00:49:52,720
Speaker 1: for levels. I thought they were just for the no sizes.

1128
00:49:52,840 --> 00:49:56,080
Speaker 1: Yeah you're supposed to go, yeah, you're supposed to yeah,

1129
00:49:56,160 --> 00:49:57,600
Speaker 1: but whatever they had level four of it.

1130
00:49:57,840 --> 00:50:00,720
Speaker 2: Absolutely no flat.

1131
00:50:01,640 --> 00:50:03,520
Speaker 3: Yeah, it's just flat across your face.

1132
00:50:03,920 --> 00:50:06,040
Speaker 2: Yeah, but you can't deny it does feel better when

1133
00:50:06,080 --> 00:50:06,600
Speaker 2: it opens up.

1134
00:50:06,640 --> 00:50:09,080
Speaker 1: You're like, breath you feel great. I tried to just

1135
00:50:09,120 --> 00:50:11,640
Speaker 1: I did a couple of workouts then with an.

1136
00:50:11,560 --> 00:50:14,440
Speaker 2: Nazel breathing easy.

1137
00:50:14,480 --> 00:50:17,400
Speaker 1: You can't do it because I was at a Victis,

1138
00:50:17,400 --> 00:50:19,880
Speaker 1: not when I competed, but just kind of casually just

1139
00:50:20,000 --> 00:50:20,640
Speaker 1: kind of showing up.

1140
00:50:20,560 --> 00:50:22,120
Speaker 2: In the super sciency there.

1141
00:50:22,239 --> 00:50:26,239
Speaker 1: Yeah, but the nasal breathing was we did. We did

1142
00:50:26,360 --> 00:50:29,920
Speaker 1: NAZL breathing warm ups in the camp class. Remember those, man,

1143
00:50:29,960 --> 00:50:30,840
Speaker 1: those are those sucked.

1144
00:50:30,880 --> 00:50:34,399
Speaker 3: I can't do it. I've never once tried. I never

1145
00:50:34,440 --> 00:50:35,080
Speaker 3: once even tried.

1146
00:50:35,120 --> 00:50:35,520
Speaker 1: I don't think.

1147
00:50:35,600 --> 00:50:39,080
Speaker 2: I think. I'm like, oh, yep, you can't.

1148
00:50:39,080 --> 00:50:41,080
Speaker 1: You spend you like you do you just run around,

1149
00:50:41,160 --> 00:50:43,040
Speaker 1: uh you know, do like a little four hundred meters

1150
00:50:43,120 --> 00:50:45,680
Speaker 1: lap or something. You can't. I be just couldn't breathe

1151
00:50:47,680 --> 00:50:49,280
Speaker 1: by the end of it. You've got so much stuff

1152
00:50:49,320 --> 00:50:51,839
Speaker 1: coming at you. Man, I'm happy to just clean up.

1153
00:50:52,040 --> 00:50:53,719
Speaker 2: More power to people that can do it. I just

1154
00:50:53,760 --> 00:50:56,480
Speaker 2: don't have the I don't have the discipline to do it.

1155
00:50:56,640 --> 00:50:59,400
Speaker 4: Yeah, it's too easy. It's it's too easy to just

1156
00:50:59,400 --> 00:51:00,759
Speaker 4: open my mouth and breathing, like.

1157
00:51:01,040 --> 00:51:03,359
Speaker 2: There's so much more oxygen. Yeah, yeah, you know, yeah,

1158
00:51:03,400 --> 00:51:05,440
Speaker 2: but it's not going and you're not using And I'm like.

1159
00:51:05,680 --> 00:51:10,120
Speaker 1: Cool, you know, yeah, yeah, that's right. Those come out.

1160
00:51:10,160 --> 00:51:12,839
Speaker 1: And my wife's got me on this red light therapy hat.

1161
00:51:12,960 --> 00:51:15,680
Speaker 1: Yeah all right, she got me on a hat. So

1162
00:51:15,719 --> 00:51:18,319
Speaker 1: we've been looking at it. Well, you know, she says,

1163
00:51:18,360 --> 00:51:22,080
Speaker 1: all right, what's Klin saying?

1164
00:51:22,520 --> 00:51:24,200
Speaker 3: Yeah, yeah, yeah, what's my dad saying?

1165
00:51:24,280 --> 00:51:27,120
Speaker 1: Yeah exactly, that's a we're looking into it.

1166
00:51:27,200 --> 00:51:27,439
Speaker 2: Yeah.

1167
00:51:27,520 --> 00:51:29,640
Speaker 1: Yeah, it's pretty. It's it's something pretty.

1168
00:51:29,760 --> 00:51:32,239
Speaker 3: I do think it's interesting. It's uh. I haven't done

1169
00:51:32,280 --> 00:51:33,840
Speaker 3: a ton of research in red light therapy, but I

1170
00:51:33,880 --> 00:51:35,880
Speaker 3: mean there is. It is backed.

1171
00:51:35,920 --> 00:51:38,640
Speaker 4: I mean it literally is. That's what's from the sun.

1172
00:51:38,680 --> 00:51:40,719
Speaker 4: That's what's helping you recover from the sun. Obviously the

1173
00:51:40,760 --> 00:51:43,399
Speaker 4: sun that nothing can replace that, but uh, but the

1174
00:51:43,440 --> 00:51:46,480
Speaker 4: red light therapy is like kind of an it's a

1175
00:51:46,520 --> 00:51:49,560
Speaker 4: good second option if you can't just be outside all day.

1176
00:51:49,719 --> 00:51:50,759
Speaker 1: Yeah.

1177
00:51:50,880 --> 00:51:52,400
Speaker 4: I was making fun of Jake this morning. Yeah, the

1178
00:51:52,480 --> 00:51:54,160
Speaker 4: lights off. It was like eight o'clock in the morning,

1179
00:51:54,719 --> 00:51:56,960
Speaker 4: and uh, like, Jake, your circadian rhythm is going to

1180
00:51:57,040 --> 00:51:57,760
Speaker 4: be all jacked.

1181
00:51:58,040 --> 00:51:58,640
Speaker 3: What are you doing.

1182
00:51:58,640 --> 00:52:00,520
Speaker 4: You're here in a dark room, it's eight o'clock in

1183
00:52:00,560 --> 00:52:02,239
Speaker 4: the morning. Get out there and get some sun. It's

1184
00:52:02,280 --> 00:52:05,960
Speaker 4: like a hermit in his office. Yeah, yeah, yeah, I

1185
00:52:06,000 --> 00:52:09,200
Speaker 4: mean I think the data with red light therapy will

1186
00:52:09,200 --> 00:52:11,160
Speaker 4: be interesting. I don't know, I don't know enough about it,

1187
00:52:11,200 --> 00:52:12,840
Speaker 4: but it would be cool to track that.

1188
00:52:13,200 --> 00:52:15,480
Speaker 1: Yeah. It's always you know, it's always fun when those

1189
00:52:15,480 --> 00:52:17,719
Speaker 1: come out, you know, the exercise science side of it.

1190
00:52:18,200 --> 00:52:20,000
Speaker 1: Speaking to earlier, it's just like even the rate of

1191
00:52:20,000 --> 00:52:23,439
Speaker 1: perceived exertion scales that they used to push ye went

1192
00:52:23,480 --> 00:52:26,080
Speaker 1: from one to ten, and then Bores' scale came out,

1193
00:52:26,160 --> 00:52:29,040
Speaker 1: went from six to twenty. But did you ever teach

1194
00:52:29,040 --> 00:52:30,319
Speaker 1: group fitness? Could you went?

1195
00:52:31,520 --> 00:52:36,840
Speaker 2: Well group fitnessing at a corporate wellness center? Yeah? Yeah,

1196
00:52:36,880 --> 00:52:40,160
Speaker 2: and they were glorified CrossFit, you know, people come back in.

1197
00:52:41,120 --> 00:52:43,160
Speaker 2: You'd do three or four movements and be like, all right,

1198
00:52:43,200 --> 00:52:45,400
Speaker 2: go find a machine, get on it for three minutes,

1199
00:52:45,400 --> 00:52:47,080
Speaker 2: and then they'd come back in and it was just

1200
00:52:47,080 --> 00:52:47,640
Speaker 2: a boot camp.

1201
00:52:48,120 --> 00:52:50,320
Speaker 1: Yeah, oh yeah, that's right. I taught one. It was

1202
00:52:50,360 --> 00:52:55,920
Speaker 1: called Core Chaos. Was at an RP sign. But behind everybody,

1203
00:52:55,960 --> 00:52:58,080
Speaker 1: I say, okay, if you ever need to look at

1204
00:52:58,080 --> 00:52:59,680
Speaker 1: that scale, I have a bunch of smiley Yeah.

1205
00:53:00,200 --> 00:53:01,400
Speaker 3: I always saying, jess.

1206
00:53:01,200 --> 00:53:03,000
Speaker 1: A, you know who's going to take the time looking

1207
00:53:03,040 --> 00:53:08,160
Speaker 1: to me like, well, okay, well let me fourteen fifteen. Yeah,

1208
00:53:08,200 --> 00:53:10,880
Speaker 1: it's it's it was funny and a half. That actually

1209
00:53:11,000 --> 00:53:13,040
Speaker 1: comes in the UAST though today with one of the

1210
00:53:13,040 --> 00:53:14,919
Speaker 1: algorithms we're working on is called a train and load

1211
00:53:14,960 --> 00:53:19,640
Speaker 1: algorithm basically just tells to scale and said kind of, uh,

1212
00:53:20,000 --> 00:53:22,160
Speaker 1: based off of that, based off your baseline, here's how

1213
00:53:22,160 --> 00:53:26,760
Speaker 1: we're tying that together. So there, I'm I'm pumped. Where

1214
00:53:26,920 --> 00:53:30,759
Speaker 1: exercise science and physiology is meeting medicine, it's great.

1215
00:53:31,680 --> 00:53:34,160
Speaker 2: Well, you know, garment, it'll when you do a run,

1216
00:53:34,360 --> 00:53:36,799
Speaker 2: it'll be like, you know, give us a score. But

1217
00:53:36,840 --> 00:53:39,600
Speaker 2: then like five it says hard, and I'm like five

1218
00:53:39,680 --> 00:53:42,960
Speaker 2: is not hard to me? Like seven, eight, were approaching hard, right, and.

1219
00:53:42,920 --> 00:53:44,440
Speaker 3: Then you need yeah, and then you need like so

1220
00:53:44,600 --> 00:53:45,200
Speaker 3: much rest.

1221
00:53:45,440 --> 00:53:49,360
Speaker 2: Yeah, battery. But yeah, I've only worn mine, I think twice.

1222
00:53:49,960 --> 00:53:51,319
Speaker 2: I just and so that's just run.

1223
00:53:51,400 --> 00:53:52,520
Speaker 3: I just use it for paces.

1224
00:53:52,680 --> 00:53:54,680
Speaker 2: That's one of the things. That's the only reason I

1225
00:53:54,680 --> 00:53:56,840
Speaker 2: wear is That's the one thing I do like about

1226
00:53:56,840 --> 00:54:00,080
Speaker 2: the Slimmer. I won't give away too much of your products, yeah,

1227
00:54:00,200 --> 00:54:02,719
Speaker 2: but like that I like because it doesn't get in

1228
00:54:02,760 --> 00:54:05,120
Speaker 2: the way with everything that we do. The one thing

1229
00:54:05,239 --> 00:54:07,200
Speaker 2: is it would be nice to look down and see

1230
00:54:07,200 --> 00:54:09,400
Speaker 2: what time it was and what my heart rate was,

1231
00:54:09,520 --> 00:54:10,560
Speaker 2: you know, like that's.

1232
00:54:10,360 --> 00:54:12,040
Speaker 1: The two things that it would be if you're about

1233
00:54:12,040 --> 00:54:14,000
Speaker 1: to come on here and just innovate some products.

1234
00:54:14,080 --> 00:54:16,359
Speaker 2: That's the two things I want to see. Yeah, that's

1235
00:54:16,440 --> 00:54:18,640
Speaker 2: only That's all I want to see is the time

1236
00:54:19,200 --> 00:54:21,920
Speaker 2: and what my heart rate's at right there. Yeah, that's it.

1237
00:54:21,960 --> 00:54:24,880
Speaker 2: And maybe a maybe you could switch between the actual

1238
00:54:24,920 --> 00:54:27,839
Speaker 2: time or a timer, you know, like that's it. That's

1239
00:54:27,840 --> 00:54:28,520
Speaker 2: all I need to know.

1240
00:54:28,600 --> 00:54:30,920
Speaker 1: Yeah, mix it up. Well those are you know. It's

1241
00:54:31,560 --> 00:54:34,000
Speaker 1: I've I've been pumped even in the early days when

1242
00:54:34,040 --> 00:54:37,120
Speaker 1: we launched the customer stories here because some of the

1243
00:54:37,160 --> 00:54:41,440
Speaker 1: best times in my life were coaching CrossFit and folks

1244
00:54:41,440 --> 00:54:42,960
Speaker 1: that came into that gym. I always told my coaches too,

1245
00:54:42,960 --> 00:54:44,920
Speaker 1: I said, hey, you never know somebody's story coming into

1246
00:54:44,920 --> 00:54:47,399
Speaker 1: the gym. They might have sat in that parking line.

1247
00:54:47,400 --> 00:54:48,759
Speaker 1: We had a couple of memory. I'll have the same

1248
00:54:48,800 --> 00:54:50,919
Speaker 1: here too, that'll sit in the parking lot during eleven

1249
00:54:50,960 --> 00:54:52,520
Speaker 1: AM class for like two weeks, be where they must

1250
00:54:52,760 --> 00:54:55,000
Speaker 1: cur him in there. But man, when they get in

1251
00:54:55,040 --> 00:54:58,000
Speaker 1: there and you just watched the transformation angely touched on

1252
00:54:58,000 --> 00:55:00,399
Speaker 1: this earlier. It just kind of somebody from day one

1253
00:55:00,520 --> 00:55:03,840
Speaker 1: to you know, a year later, he's incredible. Yeah, I

1254
00:55:03,840 --> 00:55:05,840
Speaker 1: have one guy who's won't tell the whole story. We

1255
00:55:05,840 --> 00:55:08,000
Speaker 1: probably don't have time for it. But man, he just

1256
00:55:08,080 --> 00:55:12,320
Speaker 1: he he was a hidden tank, just strong as an ox.

1257
00:55:12,400 --> 00:55:15,160
Speaker 1: You never knew it. Ye never trained, came in. We

1258
00:55:15,280 --> 00:55:17,480
Speaker 1: trained for two years back squad of five hundred pounds.

1259
00:55:17,520 --> 00:55:18,200
Speaker 3: Oh my god.

1260
00:55:18,320 --> 00:55:20,600
Speaker 1: But you like the confidence that you get, oh yeah,

1261
00:55:20,840 --> 00:55:23,080
Speaker 1: speak from my story for Fish a CrossFit too, is

1262
00:55:23,120 --> 00:55:24,759
Speaker 1: like you approach the rest of the world different when

1263
00:55:24,800 --> 00:55:28,600
Speaker 1: you get squat five. Yeah, but his whole life change

1264
00:55:28,600 --> 00:55:31,440
Speaker 1: from that confidence. Had he had something under him.

1265
00:55:31,480 --> 00:55:33,360
Speaker 3: That's yeah, that is so true.

1266
00:55:33,520 --> 00:55:37,160
Speaker 4: Yeah, And like and you even think about like an

1267
00:55:37,160 --> 00:55:39,560
Speaker 4: older person who's of course, you know, the overhead squad

1268
00:55:39,560 --> 00:55:41,600
Speaker 4: probably didn't really even exist when they were a kid,

1269
00:55:41,640 --> 00:55:43,080
Speaker 4: and then you have like a fifty or six year

1270
00:55:43,080 --> 00:55:45,360
Speaker 4: old person like learn how to do an overhead squat,

1271
00:55:45,800 --> 00:55:47,640
Speaker 4: Like same thing. Like it may not be a ton

1272
00:55:47,640 --> 00:55:50,120
Speaker 4: of weight, but like the confidence you get from being

1273
00:55:50,120 --> 00:55:54,000
Speaker 4: able to do something that seems so difficult, and like.

1274
00:55:54,719 --> 00:55:57,319
Speaker 2: You're in the probably the top one percent people that

1275
00:55:57,360 --> 00:55:57,880
Speaker 2: can even do it.

1276
00:55:58,080 --> 00:55:59,839
Speaker 3: Yeah, there's there's probably yeah, one percent of the world

1277
00:55:59,840 --> 00:56:00,640
Speaker 3: can even do that.

1278
00:56:01,200 --> 00:56:05,520
Speaker 4: And uh yeah, so that's like even the simplest transformations

1279
00:56:05,960 --> 00:56:07,000
Speaker 4: is super cool to watch.

1280
00:56:07,200 --> 00:56:10,000
Speaker 1: Yeah, that's exactly right. It and you know that's always

1281
00:56:10,000 --> 00:56:13,719
Speaker 1: been the beauty CrossFit. Yeah, even with all going on

1282
00:56:13,800 --> 00:56:16,239
Speaker 1: in the in the world of it, it's still you know,

1283
00:56:16,280 --> 00:56:18,719
Speaker 1: CrossFit is the community and there was it was it

1284
00:56:18,760 --> 00:56:20,960
Speaker 1: was a homie beacon for folks. So you know, we

1285
00:56:21,760 --> 00:56:23,680
Speaker 1: my intention with Kayler is that we we end up

1286
00:56:24,200 --> 00:56:26,720
Speaker 1: equipment folks, you know, whether it be whether be hunting

1287
00:56:26,800 --> 00:56:29,920
Speaker 1: or cross fitting, with the data that that makes you

1288
00:56:30,120 --> 00:56:30,960
Speaker 1: to get some of that confidence.

1289
00:56:31,000 --> 00:56:32,040
Speaker 3: Yeah, both for us.

1290
00:56:32,120 --> 00:56:34,440
Speaker 2: Yeah cool man. Well appreciate it, man, and thank you.

1291
00:56:35,000 --> 00:56:35,239
Speaker 1: Thank you.

1292
00:56:35,440 --> 00:56:37,080
Speaker 2: Listen, just go on to hunt and test some of

1293
00:56:37,080 --> 00:56:38,759
Speaker 2: the stuff out. So what does your stress level?

1294
00:56:38,800 --> 00:56:42,040
Speaker 1: All right, Changelo, fun conversations. Thanks gentlemen.

1295
00:56:42,120 --> 00:56:42,680
Speaker 3: Yeah, thank you,