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Speaker 1: The following is a production of Dallas Cowboys dot Com

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Speaker 1: and the Dallas Cowboys Football Club flowing out of the backfield,

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Speaker 1: flooding down the sidelines. He's hanging with the Boys, broadcasting

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Speaker 1: live from Dallas Cowboys World Headquarters at the Star in Frisco.

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Speaker 1: Now your host, Nate Newton, Kurt Daniels, and Shannon Gross.

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Speaker 1: Friday Friday, thank god, the Friday before Christmas. Gotta like that.

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Speaker 1: And our little elf is not with us today. Christmas Looney,

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Speaker 1: Christmas Looney, and Christmas Nate. What is Nate doing? Nate

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Speaker 1: has a has an engagement. We have about forty five

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Speaker 1: guests from American Airlines, American Airlines employees in the building,

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Speaker 1: and they went on a tour and then they went

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Speaker 1: to Ford Center and some of the practice suites over

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Speaker 1: there and got to watch practice and got to eat lunch,

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Speaker 1: and then got to hang out with Nate for a

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Speaker 1: couple hours. So he's over there entertaining and talking football

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Speaker 1: and answering questions and yeah, just hanging out and sold

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Speaker 1: us out today, brought us sold us out today. He

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Speaker 1: had big plans, but you're stuck with me and Kurt.

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Speaker 1: But hearing about probably twenty minutes ish. Ten minutes, Yeah,

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Speaker 1: we're ten minutes. We're gonna have Tom Robinson on. We

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Speaker 1: don't really know what his title is, but we do

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Speaker 1: know I like Douglas's title for him. What was that, Douglas? Hey, hey,

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Speaker 1: Mick Wizard, I know we don't have anybody today, come

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Speaker 1: on here if you want. Ye see, nobody wants to

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Speaker 1: hang out with us with MAT's not here. So Tom

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Speaker 1: will be in and a football analytics guy. And I'm

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Speaker 1: actually really interested because I know I've known Tom for

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Speaker 1: a long time. He actually started out I believe, over

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Speaker 1: in DCM and it whenever I was I think, I

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Speaker 1: think so, I think that's where I know him from.

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Speaker 1: So he's been around for a while. And then he

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Speaker 1: now runs the whole analytics operation for the team, and

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Speaker 1: I'm interested to see like what they're able to track

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Speaker 1: and what they're doing with that information, and how are

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Speaker 1: they sharing it across the league or how all that

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Speaker 1: stuff works out. So it's pretty pretty top secret info,

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Speaker 1: some of that stuff, I bet it is. I'm wondering

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Speaker 1: how much he's gonna be able to tell us. That's

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Speaker 1: gonna be really interesting. I feel kind of bad because

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Speaker 1: I've I've seen. I had never placed the name. I

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Speaker 1: don't know Tom very, I don't know him at all,

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Speaker 1: so if he walks in here, you don't well see,

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Speaker 1: I think I figured out. I've seen this guy walking

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Speaker 1: around who I didn't know who was, and I've heard

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Speaker 1: the name Tom, and I think I finally put the

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Speaker 1: name with the face and so um tall skinny guy. Yeah, yeah,

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Speaker 1: I actually walked by him yesterday and oh he was

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Speaker 1: with Chris and I looked at him. I think I

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Speaker 1: think that's Tom. But I'm looking forward to hearing the

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Speaker 1: story there. Yeah, so cool. So we will have him

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Speaker 1: here in a little bit. In the meantime, we need

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Speaker 1: your help because we have no poss we have no Nate.

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Speaker 1: It's just me and Kurt and we're not that interesting.

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Speaker 1: So we need your phone calls. So we already have

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Speaker 1: one phone caller already. Welcome to the show, good friend

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Speaker 1: of the show. By the way, Jay and Rhode, I yes, Hey,

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Speaker 1: what's the fellas. I am so glad that I got

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Speaker 1: through today because I wanted to wish you personally a

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Speaker 1: very merry Christmas, and I want to thank you for

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Speaker 1: all the love guys have shown me over the past

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Speaker 1: couple of years. Well, thank you, Jay, thank you for

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Speaker 1: calling in. We're glad you got through too, man, MS

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Speaker 1: pans you got big Christmas plans? Uh No, not really

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Speaker 1: eat me either, Jay. I'm just gonna sit on my

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Speaker 1: couch and play video games all day. I'm gonna order

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Speaker 1: I'm gonna order a big pizza the night before, eat

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Speaker 1: half of it, and save half of it for Christmas

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Speaker 1: Day because nothing's open. Yeah, you know, I accuse my

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Speaker 1: friends very carefully, and you know, you know, I have

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Speaker 1: a small family, so you know, I told my mother,

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Speaker 1: you know, yeah, yeah, go go with your friends. You know,

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Speaker 1: I have big plans. She doesn't listen to the show.

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Speaker 1: She doesn't even know how to use Twitter, so it

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Speaker 1: doesn't matter. She won't hear this. You know. Yeah, my

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Speaker 1: everything's pool don't worry about it, you know. Yeah, you know,

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Speaker 1: keep a brave face. But you know what, guys, everything's

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Speaker 1: gonna be pooled this week. Last week, I'm gonna be honest,

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Speaker 1: I didn't even try to get through last week because

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Speaker 1: I don't know, I just had a bad feeling about

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Speaker 1: the game. I didn't have a good gut feeling, you know.

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Speaker 1: But this week I have a good gut feeling We're

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Speaker 1: gonna take care of business this week. We're gonna win

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Speaker 1: the divisions because I noticed details. And at the end

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Speaker 1: of that game last week, what I noticed is when

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Speaker 1: we lost and the player started shaking hands, there was

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Speaker 1: no smiling. Everybody looked like they were ready to kill somebody.

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Speaker 1: Everybody was mad. Okay, as opposed to other teams they

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Speaker 1: lose a game. Yeah, yeah, they're all smiling this, that

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Speaker 1: and the other. You know, you know how they do

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Speaker 1: up with powboys. Unless I miss something, they weren't smiling. Okay.

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Speaker 1: I like that DeMarcus Lawrence's quote. They got hit in

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Speaker 1: the mouth, they're ready to hit the opponent in the mouth. Now, Well,

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Speaker 1: that's what you know. That's what toughness is. Toughness is

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Speaker 1: not defined by how much of a beating you can

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Speaker 1: this show. Toughness is defined by how much of a

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Speaker 1: beating you can take and if you can bounce back

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Speaker 1: up off the mat when it happens, whether the ball

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Speaker 1: or life. Okay, we're gonna take care of business this week.

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Speaker 1: I have my good gut feeling. I just know that

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Speaker 1: it's coming. And there's also a very special girl coming

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Speaker 1: to the scheme. Her name is Lowa. You know who

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Speaker 1: Loa is. We do not, of course you don't. It's

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Speaker 1: a rhetorical question. Lola is the law of averages? Now,

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Speaker 1: unless I miss my guess, we haven't scored on defense

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Speaker 1: since last year at Washington. Okay, we are so overdue.

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Speaker 1: How you know our defense has been strong? How we

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Speaker 1: have not gotten the ball that's been tipped and we've

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Speaker 1: run it into the end zone, or how a fumble

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Speaker 1: just hasn't come our way at the opponent's twenty and

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Speaker 1: we walk in that. You know that that will happen

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Speaker 1: this week. I mean, because dance is good for those

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Speaker 1: and the guys are all business and you know Dak,

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Speaker 1: you know, we're all you know, he's a guy with

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Speaker 1: a lot of fortitude, you know. And last week the

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Speaker 1: game and just it just it's just there's no such

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Speaker 1: thing as a good loss. But it does help you

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Speaker 1: to refocus, especially if he played the game. You know,

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Speaker 1: you do get a little copy because it's happened to me,

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Speaker 1: you know. But everything's gonna be fine this week. Guys.

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Speaker 1: I don't want to take up all your time. You

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Speaker 1: already did, Jay, he took up We gotta go. The

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Speaker 1: podcast is over all, right, I love you guys, brother

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Speaker 1: Christmas love you too. Man. Thanks for calling. We win

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Speaker 1: this week. I will call up next week and sing

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Speaker 1: amri the right way? All right, all right, I hold

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Speaker 1: you to it. All right, Jay, have a good one.

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Speaker 1: You worried about this game, Kirk? You know, I guess

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Speaker 1: it shouldn't be because seven and a half point spread?

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Speaker 1: Is it? Seven? I thought it was higher than that. Um. Yeah,

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Speaker 1: they're big favorites. And that bothers me, does it? Because

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Speaker 1: I think it's gonna be a closer game than than

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Speaker 1: seven and a half. Yeah, that Tampa's defense is just

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Speaker 1: so bad. I guess my worry is if if we

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Speaker 1: have to outscore them, you know, if we if we

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Speaker 1: have to put up thirty points too, right, you know,

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Speaker 1: can you keep up? They get it if they get

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Speaker 1: a lead on you, you know, they they're I think

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Speaker 1: we talked yesterday about it. They put up a lot

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Speaker 1: of points even in losses, but they haven't the last

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Speaker 1: two games. They faced New Orleans and Baltimore. Both teams

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Speaker 1: have pretty good defenses, and they didn't do much against them.

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Speaker 1: So hopefully that continues and our defense steps up and

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Speaker 1: takes care of business. Yeah, Chris and Connecticut. What's up, buddy,

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Speaker 1: Hey guys, how you doing great? How are you? I'm

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Speaker 1: doing pretty well. I want to wish you guys are

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Speaker 1: very merry Christmas, Happy New Years and all that kind

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Speaker 1: of jazz. Yes, Sarah, you too. Hey. Um, I guess

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Speaker 1: I was first of all I wanted to say the

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Speaker 1: other day I called in and made the comment about

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Speaker 1: it's not rocket science, and I didn't want to implay

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Speaker 1: it's not a complicated game. I just meant, not rocket science.

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Speaker 1: You should use zeke. That's it. No point, hey, point

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Speaker 1: was well taken. Nate talked about that for two days

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Speaker 1: after that. He was like, man, that dude just just simple,

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Speaker 1: just like simplified everything. It's not that hard. So hey,

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Speaker 1: give it a try, right, that's right, that's right. Hey, Hey,

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Speaker 1: I guess my question I had a question for you guys.

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Speaker 1: I mean, um, you know, my worst nightmare, even before

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Speaker 1: the Indidiapolis scheme, is thinking that we're gonna have to

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Speaker 1: go into New York or they're gonna have to go

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Speaker 1: into New York and win it to get in. And uh,

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Speaker 1: I'm a little nervous about the defensive performance, you know,

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Speaker 1: starting in the fourth quarter against Philly, it's been five

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Speaker 1: really bad quarters. Do you think there's something there or

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Speaker 1: or or was just a complete they were due to

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Speaker 1: just due to have a bad game. I personally think

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Speaker 1: they just got the crap beat out of them. They

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Speaker 1: got they got overmatched. There's it's just like boxing or UFC.

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Speaker 1: Sometimes you just sometimes it's a bad matchup for your team.

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Speaker 1: And I think Indie was just a terrible matchup, especially

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Speaker 1: with the injuries they have. They I think they just

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Speaker 1: got it was just a butt kicking. Yeah, I don't.

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Speaker 1: I think the intensity just wasn't quite there. They were

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Speaker 1: riding that five game streak and Indie's backs against the wall.

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Speaker 1: They've got to win and get in for sure, we

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Speaker 1: kind of had a game to play with. And yeah,

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Speaker 1: I just don't think they matched intensity, especially, I mean

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Speaker 1: the first half was closed, but when Colts came out

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Speaker 1: and over right down the field to open the third up,

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Speaker 1: it was done. Yeah. And you know, if I know

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Speaker 1: anything about who is this? Who is this? Rod Marinelli?

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Speaker 1: Who is this? This is Taylor Stern. Taylor Stern, Welcome

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Speaker 1: to the show. Welcome, How are you guys for having me?

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Speaker 1: Douglas No applause for Taylor. Wow, I was. I was

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Speaker 1: looking for the tay what drop and I couldn't find.

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Speaker 1: But what the name Chris from Connecticut, Chris from Connecticut.

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Speaker 1: I will let you know that Rod Marinelli is one

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Speaker 1: of the most intense guys on the planet Earth. You know,

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Speaker 1: non bet and I know that he's probably getting the

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Speaker 1: Marinelli Madness video like you have never because they're playing

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Speaker 1: Tampa Bay this weekend. That is the team that he

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Speaker 1: won the Super Bowl. That is his squad that he

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Speaker 1: knows he has to win again. Tell everyone and Chris

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Speaker 1: what what marion Ellie Madness is For those that don't know, Yes,

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Speaker 1: Marionelli Madness is a video feature that he shows to

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Speaker 1: the team, the defensive guys on Saturday nights before the game.

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Speaker 1: It is graphic, it's insane, it's insane, wild crazy, probably

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Speaker 1: against Peter standards. And yeah, national geographic footage, yeah, it's right,

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Speaker 1: really horrid national geographic footage with Pete with with player

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Speaker 1: human heads on animals and like things like that. Very

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Speaker 1: Grifins nickname started from that used to have people like

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Speaker 1: he would literally ask for highlights of orphans digging up ditches. Yeah,

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Speaker 1: that was and it's and it's it fires the players up.

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Speaker 1: They love it. It's it's awesome, and he really puts

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Speaker 1: time and energy into it. Works with one of our

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Speaker 1: video editors here to like give feedback and do different things.

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Speaker 1: So it's it's pretty awesome. One time I watched it

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Speaker 1: with him too, and you'd think that normal people would

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Speaker 1: be laughing and kind of like thinking like, oh, this

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Speaker 1: is crazy. He gets so intense into it. He's like

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Speaker 1: and this is you know, I'm looking at my guy. Um.

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Speaker 1: I don't want to say Antoine Wood's real nick name

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Speaker 1: on here, but yeah, yeah, he's very similar to Nick Hayden's. Yes,

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Speaker 1: if you remember a few years ago. Yeah, So so

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Speaker 1: there you go, Chris, I think he's here. I'm ready.

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Speaker 1: Thanks for Thanks for that. You're making me feel a

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Speaker 1: little bit better. Their Taylor, do you what do you

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Speaker 1: think is gonna happen Sunday? We're winning? Uh? You know,

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Speaker 1: I'm really nervous for some reason about this game. I

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Speaker 1: don't you know, I really don't know. I can't figure

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Speaker 1: this team out for the life of me. Yeah. Well,

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Speaker 1: I'm really nervous that they're gonna have to go and

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Speaker 1: Washington to New York. I do not want that to happen. Man,

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Speaker 1: that is not a good scenario. So thank you man. Yeah,

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Speaker 1: us too, Thanks Chris. Alright, man, have a good holiday.

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Speaker 1: Marionelli had a quote yesterday saying that how do you

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Speaker 1: fix this? You practice with the same intensity bring to

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Speaker 1: the game. I wondered if I haven't been out to practice,

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Speaker 1: but I wondered if they Well, I heard that pads.

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Speaker 1: I heard last week they had like a great practice

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Speaker 1: week and that. But then I know, but then sometimes

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Speaker 1: like that will affect you in the game because you'll

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Speaker 1: be a little bit overconfident instead of the feeling of

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Speaker 1: like I need to really come out and bring it

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Speaker 1: my best, where you're like, god, I've been crushing it

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Speaker 1: this week. If you watch the Amazon All or Nothing

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Speaker 1: the week before the Atlanta game, the old line's just

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Speaker 1: killing it in practice. They're just slaying it. I know

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Speaker 1: we've got Tom coming on here, but yeah, sometimes that

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Speaker 1: doesn't Are you sticking around or you gotta run? I

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Speaker 1: can stick I can hang around, hang around with Tom.

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Speaker 1: Let's take a quick break and when we come back.

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Speaker 1: We've got Tom Robins. What's your title exactly? Tom, Director

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Speaker 1: of Football Research. We just called you sports football analytics guys.

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Speaker 1: What we did Analytics Wizard, Analytics Wizard. All right, we

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Speaker 1: will be right back and we'll have Tom Robinson on

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Speaker 1: the show and hang with the boys. A man's steps

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Speaker 1: and doesn't just protect him from life's elements, it projects

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Speaker 1: an unstoppable and legendary spirit, just like the men wearing

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Speaker 1: silver and navy on the field every Sunday. Since eighteen

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Speaker 1: sixty five, Stetson hats are American made with pride right

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Speaker 1: here in Texas. They are still the official crown of

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Speaker 1: all self prospecting Cowboys, and Stetson is proud to be

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Speaker 1: on the field with America's team. Find Steps and hats

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Speaker 1: in the pro Shop or at Stetson dot com today.

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Speaker 1: out on the field that you really find out what

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Speaker 1: he's made of. That's why the Cowboys rely on more

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Speaker 1: than just stats and scouting reports when building their team.

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Speaker 1: When picking a tractor, it's why you should rely on

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Speaker 1: more than just specs and features. You've got to take

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Speaker 1: it out and put it to the test. The Cowboys

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Speaker 1: did when they named John Dear their official tractor experience

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Speaker 1: Slash Football back Hanging with the Bulls, back Friday, the

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Speaker 1: Star in Pristo. It's almost game time. It's all will

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Speaker 1: time to wrap up this NFC East. Put all these

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Speaker 1: make make make that bread. Where's the one with the biscuit?

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Speaker 1: Get that bread? Biscuit one something biscuit? Uh? I don't

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Speaker 1: let me pull him, let me pull them back up.

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Speaker 1: Tell us about some under one underwear, Tommy John, give

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Speaker 1: you the feed him and freedom. What it counts with

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Speaker 1: the contour patch that nestles the boys. I'm so happy

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Speaker 1: to be solicit us in front of our steam guests

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Speaker 1: and Taylor, solicit this biscuit. Solicit this biscuit. Okay, with

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Speaker 1: over three million pairs sold, we've put in the hustle

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Speaker 1: to make sure you're nestled. Shop exclusive Cowboys Underwear Tommy

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Speaker 1: John dot com Forward Slash Cowboys. Obtain this grain, Kurt,

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Speaker 1: thanks for that. Receive you this week? Who was that? Huh?

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Speaker 1: Where's the last one received this week? No? No, I

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Speaker 1: like the biscuit one. Get that bread. We'll just keep

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Speaker 1: it simple. Speaking of getting that bread, tom Welcome to

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Speaker 1: the show man, Hollo. There's our all right, all right,

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Speaker 1: So give us a little bit of background. You've been around,

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Speaker 1: how you've been with the organization. So I've been with

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Speaker 1: the Cowboys dating back to two thousand and I think

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Speaker 1: tellousand nine. Okay, so you've been around a while. Yeah.

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Speaker 1: So I came on board around the time that m

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Speaker 1: AT and T Stadium it is under construction, okay, And

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Speaker 1: initially worked with the team as a consultant and worked

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Speaker 1: on a number of projects related to the to the

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Speaker 1: opening of the stadium, and then kind of came came

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Speaker 1: on board full time about m after a year into

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Speaker 1: the stadium being open, okay, and then kind of moved

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Speaker 1: into my current role on the football side. I think

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Speaker 1: this is my fifth season. How did you go from it?

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Speaker 1: Sounded like you were Wait, let's preface the whole conversation. First.

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Speaker 1: We we don't really know what Tom does. We know

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Speaker 1: what he does, but we don't really know how in depth.

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Speaker 1: So we're going to ask him a bunch of questions

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Speaker 1: that we probably shouldn't ask. Yeah, we are, and he's

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Speaker 1: gonna tell us, Hey, no, I can't answer that, or

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Speaker 1: I'm not comfortable answering that, or I'm not telling you.

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Speaker 1: So Tom, you just you keep us at arms linked

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Speaker 1: where you need to. Don't feel bad about telling us

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Speaker 1: you can't answer before we ask those I'll just say

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Speaker 1: my first impression of Tom where I first felt like,

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Speaker 1: you know, I was like, who is this mystery man?

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Speaker 1: Is really a training camp because you know, you guys

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Speaker 1: have both been out there. You go to training he

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Speaker 1: sits at his little table and it's like it's a

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Speaker 1: special table if you would, because there's no seats or

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Speaker 1: anything around the end zones of training camp fields. And

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Speaker 1: Tom's got the setup. He's got the laptop of the

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Speaker 1: little tower. Yeah, you know that something important is Happenings

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Speaker 1: are really green today, Thank you Shannon. They really, they're

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Speaker 1: like popping out of your m Thank you Christmas. Eve.

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Speaker 1: What a nice boss he is. That's when I was like,

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Speaker 1: who is Tom? You know what I'm talking about? It's

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Speaker 1: like something is happening there. Well never he looks really important.

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Speaker 1: This guy matters. Yes, all right, Kurt, sorry to stop

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Speaker 1: you down. Well what was your question? I actually feel

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Speaker 1: bad too, because I've seen Tom around everywhere. I've never

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Speaker 1: actually really met him. I've heard the name, I've seen him.

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Speaker 1: I never this first time I've had a chance to

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Speaker 1: kind of put the name with the face. Kurt, this

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Speaker 1: is Tom. This is Kurt. Apologize for not introducing myself. Look,

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Speaker 1: ye started to come down here with us again, get

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Speaker 1: your headset on there. Have you met Tom before? This

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Speaker 1: is Tom, Tom, this is me. We got one guy

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Speaker 1: in here him. So how did you get sound like

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Speaker 1: you're basically an it guy? How did you transition into

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Speaker 1: becoming sort of this football analytics really in depth kind

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Speaker 1: of stuff for the for the football department. Sure. Yeah.

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Speaker 1: So my my background kind of both educationally and professionally

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Speaker 1: has always been data in analytics. And so I worked

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Speaker 1: for a number of years as a consultant um kind

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Speaker 1: of working with you know, larger companies Fortune five hundred

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Speaker 1: and whatnot on business intelligence, analyt kind of data warehousing. Um,

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Speaker 1: excuse me, Uh so, missus Jones not a Fortune five

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Speaker 1: hundred company. He's he's pretty ahead of them. I'm sorry,

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Speaker 1: he's at Fortune five hundred companies, that Fortune five hundred people. Okay,

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Speaker 1: oh yeah, yeah, for real, give me someone that. Yeah.

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Speaker 1: And so, you know, I got an opportunity to, I guess,

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Speaker 1: work with data see a lot of different business models,

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Speaker 1: and you know, I always had been fascinated by sports

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Speaker 1: and analytics, and you know, passionate football fan wanted to

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Speaker 1: kind of marry the two together and coming on board

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Speaker 1: with the Cowboys. I felt like I very fortunate to

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Speaker 1: come on board at a good time because football analytics

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Speaker 1: is something that's just starting to take off, and so

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Speaker 1: it wasn't like there's this you know, big, kind of talented,

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Speaker 1: experienced workforce out there that has all this knowledge that

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Speaker 1: that you can draw from. So kind of jumped on

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Speaker 1: an opportun and indeed to kind of move over to football,

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Speaker 1: kind of work on analytics, dive deep into the data

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Speaker 1: and kind of have been enjoying it ever since. Is

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Speaker 1: it hard to I mean football is kind of a

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Speaker 1: very old school like baseball. Is it hard to convince

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Speaker 1: people to pay attention to these new stats? Football? People

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Speaker 1: probably think math is magic black magic, yes, oh speaking

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Speaker 1: of me, But anyway, yeah, I think as as I've

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Speaker 1: gone through the years, it every year it becomes easier

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Speaker 1: and easier. I think, you know, are I feel very

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Speaker 1: lucky that, you know, I work for a ownership team

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Speaker 1: and a head coach that that really kind of seek

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Speaker 1: knowledge and kind of want to see what the numbers

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Speaker 1: are telling us about decisions that we're making, you know,

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Speaker 1: be that um personnel decisions. You know, who were who

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Speaker 1: were kind of pursuing in the draft, you know kind

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Speaker 1: of what we're doing kind of you know, with game management,

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Speaker 1: what kind of what are some of the numbers that

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Speaker 1: you can tell that you're that you guys, you really

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Speaker 1: dive into UM. So I'll try to kind of stay

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Speaker 1: within the bounds of what I've what has already been

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Speaker 1: said publicly about what we're doing. But you know, one

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Speaker 1: thing that we do and a lot of other clubs

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Speaker 1: are doing, is you know, we closely monitor our player

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Speaker 1: workloads during practice, and so our goals in doing that

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Speaker 1: are what we kind of multiple goals. One is you know,

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Speaker 1: we want the UM you freshest, fastest, kind of most

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Speaker 1: athletic products that we can put on the field on Sundays.

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Speaker 1: And if you look at kind of the character of

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Speaker 1: our team, you know we are going to try to

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Speaker 1: play fast, We're going to try to play physical. We

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Speaker 1: have players, you know, come to our team from from

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Speaker 1: other you know, professional teams, and they always comment about

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Speaker 1: just the intensity of our practice, and so I think

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Speaker 1: what we're trying to do is keep an eye on that. UM.

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Speaker 1: We want to push our team hard, you know, we

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Speaker 1: want to develop some of those qualities that carry over

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Speaker 1: to Sunday. But we're trying to do so kind of

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Speaker 1: in a in a very kind of practical, controlled sort

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Speaker 1: of way. So it's kind of within that realm of

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Speaker 1: high performance. You know, how do you uh, you know,

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Speaker 1: kind of keep your foot on the gas but then

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Speaker 1: kind of not overdo it. So are you measuring like distance,

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Speaker 1: run and heart rate? Like what all kind of I

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Speaker 1: don't know how much you can share, but like, what

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Speaker 1: are some things that you guys are like tracking that

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Speaker 1: that you can let us know about. Sure, now I

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Speaker 1: think you've you've hit on a couple of them. Yeah,

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Speaker 1: So we're looking at you know, distances that players have covered.

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Speaker 1: We're looking at um, some some biometric data, you know,

423
00:23:31,720 --> 00:23:35,199
Speaker 1: heart rate, heart rates, something we have just kind of

424
00:23:35,200 --> 00:23:39,479
Speaker 1: started to explore. Um, We're getting into a lot of

425
00:23:39,560 --> 00:23:44,199
Speaker 1: kind of distances covered at certain velocities, and you know,

426
00:23:44,240 --> 00:23:46,359
Speaker 1: we want to we want to keep a close eye

427
00:23:46,400 --> 00:23:49,639
Speaker 1: on kind of that explosive those explosive efforts that players

428
00:23:49,640 --> 00:23:53,000
Speaker 1: are going through in practice. Yeah, because those are the

429
00:23:53,040 --> 00:23:55,679
Speaker 1: efforts that kind of best prepare them for Sunday but

430
00:23:55,800 --> 00:23:58,360
Speaker 1: also take the most put the most wear and tear

431
00:23:58,400 --> 00:24:00,600
Speaker 1: on the body. Yeah, how much do you work with

432
00:24:00,640 --> 00:24:03,119
Speaker 1: the draft process, Like, are you looking at guys that

433
00:24:03,160 --> 00:24:05,720
Speaker 1: are still in college right now. Obviously you can't go

434
00:24:05,760 --> 00:24:08,560
Speaker 1: to their practices and do that. But how much are

435
00:24:08,560 --> 00:24:12,080
Speaker 1: you working to find the right guys during the draft. Yeah,

436
00:24:12,119 --> 00:24:15,679
Speaker 1: so kind of myself in my department. You know, we

437
00:24:15,680 --> 00:24:19,040
Speaker 1: wear a lot of different hats. I fall under our

438
00:24:19,080 --> 00:24:22,560
Speaker 1: scouting department, and so I kind of look at one

439
00:24:22,600 --> 00:24:26,399
Speaker 1: of my primary areas of responsibility being the draft. The

440
00:24:26,480 --> 00:24:28,639
Speaker 1: draft and kind of preparing for it, you know. So

441
00:24:28,720 --> 00:24:31,840
Speaker 1: we're gathering as much data as we can. You know,

442
00:24:31,880 --> 00:24:34,000
Speaker 1: so a lot of stuff people know about, you know,

443
00:24:34,040 --> 00:24:37,840
Speaker 1: college stats and production and uh, you know, combine and

444
00:24:37,960 --> 00:24:42,720
Speaker 1: pro day measurements, and you know, we're interviewing players and

445
00:24:42,800 --> 00:24:45,600
Speaker 1: kind of you know, doing our own draft evaluations, and

446
00:24:46,040 --> 00:24:49,040
Speaker 1: of course we have our own you know, models that

447
00:24:49,080 --> 00:24:51,320
Speaker 1: we're putting together to study all this and try to

448
00:24:51,359 --> 00:24:54,160
Speaker 1: tie it all together. So that surprises me how much

449
00:24:54,560 --> 00:24:57,280
Speaker 1: internally you're using the numbers for our own team. I

450
00:24:57,359 --> 00:25:00,399
Speaker 1: kind of assumed you were charting and tracking other your

451
00:25:00,400 --> 00:25:02,720
Speaker 1: opponents coming up. I mean, I assume there's some of

452
00:25:02,720 --> 00:25:05,160
Speaker 1: that involved in there. Oh, that's that's definitely true as well.

453
00:25:05,240 --> 00:25:07,800
Speaker 1: So do you guys share info with other teams across

454
00:25:07,800 --> 00:25:09,880
Speaker 1: the league, is there like a you have to give

455
00:25:09,960 --> 00:25:13,600
Speaker 1: this information to the league wide or you know, the

456
00:25:14,080 --> 00:25:17,600
Speaker 1: league does a great job of disseminating a common set

457
00:25:17,640 --> 00:25:21,800
Speaker 1: of data and information to all the teams about the players. Yeah,

458
00:25:21,840 --> 00:25:24,679
Speaker 1: so about so like the next gen stats that the

459
00:25:24,800 --> 00:25:27,280
Speaker 1: league's now putting out, they have a website. I think

460
00:25:27,320 --> 00:25:29,480
Speaker 1: that you go to that puts that that's something that

461
00:25:30,160 --> 00:25:33,520
Speaker 1: the league mandates. That is something that's now shared kind

462
00:25:33,520 --> 00:25:35,879
Speaker 1: of league wide, and that was a big development for

463
00:25:35,960 --> 00:25:39,120
Speaker 1: us this offseason. We for the first time this year,

464
00:25:39,520 --> 00:25:43,040
Speaker 1: we're able to see player tracking data for all thirty

465
00:25:43,040 --> 00:25:45,600
Speaker 1: two teams and both sides of the ball. So in

466
00:25:45,640 --> 00:25:48,840
Speaker 1: seasons passed, you know we had player tracking data, we

467
00:25:48,840 --> 00:25:50,639
Speaker 1: would only see it for our own offense or our

468
00:25:50,680 --> 00:25:53,439
Speaker 1: own defense. So it makes it hard to do some

469
00:25:53,480 --> 00:25:55,720
Speaker 1: of the more advanced analysis you want to do. You know,

470
00:25:55,720 --> 00:25:57,560
Speaker 1: like if you're trying to look at the interaction between

471
00:25:57,560 --> 00:26:00,440
Speaker 1: a receiver and a defensive back, you know, to try

472
00:26:00,480 --> 00:26:04,320
Speaker 1: to calculate separation on a route, you know, you can't

473
00:26:04,320 --> 00:26:07,040
Speaker 1: do that without both sides of the ball. But we're

474
00:26:07,080 --> 00:26:10,840
Speaker 1: now getting that and I think over the next several

475
00:26:10,920 --> 00:26:12,960
Speaker 1: years you're going to see all kinds of new insight

476
00:26:13,280 --> 00:26:18,280
Speaker 1: I think emerge you know within you know NFL front offices,

477
00:26:18,320 --> 00:26:21,439
Speaker 1: but also in the public you know. So yeah, I

478
00:26:21,440 --> 00:26:23,760
Speaker 1: think I see some great work being done on side

479
00:26:23,760 --> 00:26:26,480
Speaker 1: psyche ESPN. You know, if you look at some of

480
00:26:26,480 --> 00:26:29,320
Speaker 1: the work of somebody like Brian Burke, you know he's

481
00:26:29,359 --> 00:26:33,000
Speaker 1: looking at that the sports science guy. No, No, he's

482
00:26:33,240 --> 00:26:37,879
Speaker 1: he's more of a data analytics football analytics in particular,

483
00:26:38,400 --> 00:26:41,480
Speaker 1: but kind of looking at past protection and um, you know,

484
00:26:41,640 --> 00:26:44,280
Speaker 1: defensive linemen, how they're rushing, and starting to use that

485
00:26:44,560 --> 00:26:47,480
Speaker 1: player tracking data to quantify some of those those numbers.

486
00:26:48,680 --> 00:26:54,240
Speaker 1: My question is your workload is more when when do

487
00:26:54,280 --> 00:26:58,840
Speaker 1: you have the biggest workload throughout the season? Yes, throughout

488
00:26:58,880 --> 00:27:01,680
Speaker 1: the season, through the whole year, when your draft, offseason,

489
00:27:01,720 --> 00:27:06,120
Speaker 1: what you like, what you're what you're big it. I'll

490
00:27:06,119 --> 00:27:09,560
Speaker 1: say it never really slows down for us. Yes, you know,

491
00:27:09,600 --> 00:27:11,840
Speaker 1: the NFL is kind of our year round business. And

492
00:27:12,800 --> 00:27:15,960
Speaker 1: you know, within my group's kind of area of responsibility

493
00:27:16,560 --> 00:27:21,359
Speaker 1: or areas of responsibility. You know, we're focused on UM scouting,

494
00:27:21,680 --> 00:27:25,320
Speaker 1: you know, so that's both um you know, pro scouting

495
00:27:25,359 --> 00:27:29,560
Speaker 1: for free agency and college scouting for the draft. UM.

496
00:27:29,640 --> 00:27:32,600
Speaker 1: You know, we're also helping our coaches with kind of

497
00:27:33,080 --> 00:27:38,159
Speaker 1: advanced work on opponents. Um. You know, in addition, we

498
00:27:38,200 --> 00:27:42,520
Speaker 1: have a big kind of sports science focus, UM also

499
00:27:42,560 --> 00:27:45,520
Speaker 1: working with you know, with the sports science piece kind

500
00:27:45,520 --> 00:27:49,040
Speaker 1: of working with strength and conditioning. So you excited about

501
00:27:49,080 --> 00:27:52,000
Speaker 1: a facet of what you do. So are you excited

502
00:27:52,040 --> 00:27:55,520
Speaker 1: about even the smallest pieces? Huh oh for sure? Yeah.

503
00:27:55,560 --> 00:27:58,760
Speaker 1: I think are you like a numbers nerd completely? Do

504
00:27:58,800 --> 00:28:02,560
Speaker 1: you just yea, That's what I'm saying. Yeah, he's excited

505
00:28:02,560 --> 00:28:05,080
Speaker 1: about even the smallest integral parts of it, you know,

506
00:28:05,119 --> 00:28:06,880
Speaker 1: as well as the big part. Yeah. Do you think

507
00:28:06,920 --> 00:28:09,920
Speaker 1: it'll football will ever get to where and this made

508
00:28:09,920 --> 00:28:11,480
Speaker 1: me think of it when you set a dB going

509
00:28:11,520 --> 00:28:14,080
Speaker 1: against a wide receiver. Do you think it'll ever get

510
00:28:14,119 --> 00:28:17,120
Speaker 1: to the point where it gets so analytical that, you know,

511
00:28:17,320 --> 00:28:20,120
Speaker 1: in the about halfway through the third quarter, this guy

512
00:28:20,160 --> 00:28:22,919
Speaker 1: gets a little bit more tired by looking at the

513
00:28:23,000 --> 00:28:25,119
Speaker 1: numbers that they're sharing across the league, and then you

514
00:28:25,119 --> 00:28:28,720
Speaker 1: can exploit those matchups. I'm sure there's I don't know

515
00:28:28,720 --> 00:28:30,760
Speaker 1: if the league would ever because that would almost be

516
00:28:30,840 --> 00:28:33,280
Speaker 1: a competitive advantage or something. But do you think it'll

517
00:28:33,320 --> 00:28:35,320
Speaker 1: ever get to where it's that analytical where you can

518
00:28:35,400 --> 00:28:37,439
Speaker 1: do things like that, you know, I don't know. I

519
00:28:37,480 --> 00:28:40,680
Speaker 1: think that's really difficult to say. Like the I think

520
00:28:40,720 --> 00:28:42,360
Speaker 1: one thing that could play a part in it kind

521
00:28:42,360 --> 00:28:45,200
Speaker 1: of like you're saying, is just kind of the what

522
00:28:45,320 --> 00:28:49,360
Speaker 1: the competition committee prefers, because it's it is possible that

523
00:28:49,400 --> 00:28:52,280
Speaker 1: the league could could make a decision to share kind

524
00:28:52,320 --> 00:28:55,600
Speaker 1: of real time player tracting data, you know, on during

525
00:28:55,600 --> 00:28:58,160
Speaker 1: a game, and then at that point, you know, maybe

526
00:28:58,200 --> 00:29:01,360
Speaker 1: teams would try to take advantage just some knowledge like that. Yeah,

527
00:29:01,440 --> 00:29:03,880
Speaker 1: Well as reading something just this week that I thought

528
00:29:03,960 --> 00:29:07,240
Speaker 1: was interesting just um is in an article and it

529
00:29:07,280 --> 00:29:09,960
Speaker 1: was kind of throwaway comment, but the article made mention

530
00:29:10,040 --> 00:29:13,400
Speaker 1: that a team's trying to you know, kind of I

531
00:29:13,440 --> 00:29:17,800
Speaker 1: guess run more plays on that I guess go towards

532
00:29:17,800 --> 00:29:21,240
Speaker 1: their own sideline to kind of tire up ye posing

533
00:29:21,320 --> 00:29:25,720
Speaker 1: defensive line on substitutions to make them run further. Yeah,

534
00:29:24,480 --> 00:29:27,920
Speaker 1: what's the staff that you see and guys starring Nate

535
00:29:28,160 --> 00:29:31,680
Speaker 1: that you see primarily, you know, over and over with

536
00:29:31,920 --> 00:29:35,440
Speaker 1: really successful athletes like oh, you know, if this guy

537
00:29:35,560 --> 00:29:39,800
Speaker 1: has you know, this range or whatever begins, Yeah, like

538
00:29:40,160 --> 00:29:43,520
Speaker 1: you know that that means like they have some ounce

539
00:29:43,560 --> 00:29:46,880
Speaker 1: of success aheaded for them. You know, I think we're

540
00:29:47,040 --> 00:29:50,520
Speaker 1: we're always kind of pursuing value, you know, with I

541
00:29:50,560 --> 00:29:52,800
Speaker 1: think the way that we think about improving our team,

542
00:29:52,840 --> 00:29:56,320
Speaker 1: and I'll kind of say, I don't think we want

543
00:29:56,360 --> 00:29:59,720
Speaker 1: to like marry ourselves to any single metric, but we're

544
00:29:59,720 --> 00:30:02,560
Speaker 1: trying and to look at a number of different areas.

545
00:30:02,560 --> 00:30:07,000
Speaker 1: So we want guys that are big and fast and

546
00:30:07,040 --> 00:30:11,880
Speaker 1: explosive and Nate Knew smart and instinctive and and come

547
00:30:11,960 --> 00:30:15,920
Speaker 1: from big programs, you know, like you're your ideal if

548
00:30:15,960 --> 00:30:18,440
Speaker 1: you could, you know, kind of write it down on

549
00:30:18,480 --> 00:30:20,320
Speaker 1: paper and say this is exactly what we want. We

550
00:30:20,360 --> 00:30:23,000
Speaker 1: want guys that have, you know, all these great qualities

551
00:30:23,000 --> 00:30:25,400
Speaker 1: that they're smart, and they learn things quickly, and they

552
00:30:25,440 --> 00:30:30,640
Speaker 1: have the right football character. Cooper, Yeah, Cooper's perfect example. Well,

553
00:30:31,320 --> 00:30:34,600
Speaker 1: you know, to the numbers thing. I noticed the other

554
00:30:34,720 --> 00:30:36,560
Speaker 1: night when I was watching the seventy six ers place,

555
00:30:36,600 --> 00:30:39,160
Speaker 1: somebody it was talking about Joel and Bed and then

556
00:30:39,200 --> 00:30:42,320
Speaker 1: you know, and just simple numbers sometime because his numbers

557
00:30:42,320 --> 00:30:45,440
Speaker 1: in the first half are just off the chart versus

558
00:30:45,480 --> 00:30:47,600
Speaker 1: the second half, and they saying, is it the team

559
00:30:47,840 --> 00:30:50,560
Speaker 1: around him? Is it that he gets a little fatigued?

560
00:30:50,600 --> 00:30:56,480
Speaker 1: So whether we do it first, other other uh sports

561
00:30:56,480 --> 00:30:58,880
Speaker 1: are working on the same thing. Baseball has to come.

562
00:30:58,960 --> 00:31:03,440
Speaker 1: So like, what what do you think it's like in

563
00:31:03,440 --> 00:31:06,800
Speaker 1: baseball get critics of saying it's too too much analytics?

564
00:31:06,840 --> 00:31:08,680
Speaker 1: Now do you how do you feel about that? Do

565
00:31:08,680 --> 00:31:11,520
Speaker 1: you think football could risk that kind of thing? Um?

566
00:31:12,360 --> 00:31:16,440
Speaker 1: I think baseball just the nature of the interaction between

567
00:31:16,680 --> 00:31:19,080
Speaker 1: a picture and hitter, you can very much kind of

568
00:31:19,120 --> 00:31:23,280
Speaker 1: isolate that interaction and it lends itself so well to

569
00:31:23,320 --> 00:31:27,240
Speaker 1: all kinds of analytical work. So I think it's you're

570
00:31:27,280 --> 00:31:29,920
Speaker 1: almost hurting yourself if you're not, you know, kind of

571
00:31:29,920 --> 00:31:33,480
Speaker 1: pursuing analytics heavily. There our sports not there yet, and

572
00:31:33,520 --> 00:31:35,560
Speaker 1: I'll be the first to admit that. You know, it's

573
00:31:36,160 --> 00:31:39,720
Speaker 1: there's too many interactions when you have eleven different guys

574
00:31:39,760 --> 00:31:41,400
Speaker 1: on each side of the ball, you know, kind of

575
00:31:41,400 --> 00:31:43,720
Speaker 1: squaring off, and of course they all have their own

576
00:31:43,720 --> 00:31:48,240
Speaker 1: responsibilities and there's just an infinite number of interactions that

577
00:31:48,400 --> 00:31:51,120
Speaker 1: take place there. You know, we will never be able

578
00:31:51,160 --> 00:31:56,000
Speaker 1: to I think, you know, kind of isolate things the

579
00:31:56,040 --> 00:32:00,360
Speaker 1: same way you can in baseball. But I like that

580
00:32:00,400 --> 00:32:02,680
Speaker 1: aspect Versupoort. I think it makes it more challenging to

581
00:32:02,720 --> 00:32:06,240
Speaker 1: do analytics and football. And I've talked to folks from

582
00:32:06,240 --> 00:32:08,200
Speaker 1: other sports that are doing you know, kind of work

583
00:32:08,200 --> 00:32:10,400
Speaker 1: at the highest levels, and they'll say the same thing.

584
00:32:10,440 --> 00:32:13,240
Speaker 1: They're like, and football is the toughest. You know, I

585
00:32:13,840 --> 00:32:16,680
Speaker 1: don't know how y'all do it, but they Yeah, So

586
00:32:17,480 --> 00:32:20,000
Speaker 1: I think the pioneers, you know, you can say, we're

587
00:32:20,000 --> 00:32:23,440
Speaker 1: in baseball and basketball is kind of really move the needle. Lately,

588
00:32:24,120 --> 00:32:28,520
Speaker 1: basketball there's three point them. Nobody's taking tools anymore because

589
00:32:28,520 --> 00:32:31,840
Speaker 1: if you hit thirty five percent of your threes, and

590
00:32:31,880 --> 00:32:33,760
Speaker 1: you can hit forty percent or forty five percent of

591
00:32:33,800 --> 00:32:37,800
Speaker 1: your tools, and you still lose the game. So that analytics,

592
00:32:37,840 --> 00:32:40,720
Speaker 1: you know, Charles Barkley got mad because they brought analytics

593
00:32:40,720 --> 00:32:43,600
Speaker 1: into the game. But they're gonna find a way. Believe me,

594
00:32:43,600 --> 00:32:45,760
Speaker 1: in the NFL will find a way. What do you,

595
00:32:46,000 --> 00:32:48,320
Speaker 1: as a former player who had none of these kind

596
00:32:48,360 --> 00:32:49,880
Speaker 1: of stats, you know when you were in the game,

597
00:32:49,920 --> 00:32:51,520
Speaker 1: what do you How do you feel about this? Oh,

598
00:32:51,880 --> 00:32:54,320
Speaker 1: it's all good with me because the bottom line is

599
00:32:54,480 --> 00:32:56,560
Speaker 1: is you better than me? Are you? Are you better

600
00:32:56,600 --> 00:32:58,480
Speaker 1: than me? When in a sixty minute game, when I

601
00:32:58,560 --> 00:33:01,280
Speaker 1: line up against the great Devons of I'm who gonna

602
00:33:01,280 --> 00:33:03,600
Speaker 1: win the battle. Now you can have the numbers that

603
00:33:03,720 --> 00:33:05,520
Speaker 1: say that you the better at three, that you got

604
00:33:05,560 --> 00:33:08,320
Speaker 1: you more condition, you will get tired, so I start

605
00:33:08,440 --> 00:33:11,640
Speaker 1: leaning on you. I Okay. We were talking to Jesse

606
00:33:11,760 --> 00:33:14,480
Speaker 1: Holly earlier today and he was saying, like noon games

607
00:33:14,560 --> 00:33:17,920
Speaker 1: really do affect the players more than I think people think.

608
00:33:17,960 --> 00:33:20,200
Speaker 1: And he was talking more about like your days start

609
00:33:20,280 --> 00:33:22,920
Speaker 1: so much earlier, you have to kind of like adjust

610
00:33:22,920 --> 00:33:26,800
Speaker 1: your routine, your sleep schedule and especially different on you know,

611
00:33:26,880 --> 00:33:29,600
Speaker 1: road games in at home. Is that something that you

612
00:33:29,640 --> 00:33:32,520
Speaker 1: guys look at to like sleep schedules and kind of

613
00:33:32,600 --> 00:33:36,440
Speaker 1: like just daily routines. Yeah, I will openly man, I'm

614
00:33:36,480 --> 00:33:39,080
Speaker 1: not our expert on that topic. Oh but there is

615
00:33:39,120 --> 00:33:42,760
Speaker 1: like should be Scott Center. He actually said he would

616
00:33:42,760 --> 00:33:44,880
Speaker 1: come on the show. Would just need to ask he's

617
00:33:44,920 --> 00:33:46,960
Speaker 1: our nutritionist, is that? Oh but he looks at like

618
00:33:47,000 --> 00:33:49,560
Speaker 1: sleep and stuff too. Yeah, So his his focus areas

619
00:33:49,600 --> 00:33:53,040
Speaker 1: are kind of nutrition and then kind of recovery, and

620
00:33:53,120 --> 00:33:57,600
Speaker 1: so he's deeply focused on on sleep and kind of

621
00:33:57,600 --> 00:33:59,720
Speaker 1: those aspects of what we're doing. So see look at

622
00:33:59,760 --> 00:34:02,200
Speaker 1: Tom doing your job where you Kurt. He's booking guests

623
00:34:02,240 --> 00:34:04,320
Speaker 1: and he's been on the show twenty minutes. You've been

624
00:34:04,360 --> 00:34:06,760
Speaker 1: on the show for two years and I'm ahead of you,

625
00:34:06,920 --> 00:34:12,920
Speaker 1: So I'm linking these guys. But question, So that's Douglas,

626
00:34:12,920 --> 00:34:17,640
Speaker 1: by the way, behind that wall stream, it's not God. Yeah.

627
00:34:17,680 --> 00:34:21,399
Speaker 1: So you're talking about there's the analytics aspect of UH

628
00:34:23,120 --> 00:34:26,880
Speaker 1: from the basketball perspective, the baseball perspective, how advanced they are,

629
00:34:27,160 --> 00:34:30,520
Speaker 1: and then what Shannon was talking about earlier, which is

630
00:34:31,600 --> 00:34:34,360
Speaker 1: how fatigue somebody might get in the third or fourth quarter.

631
00:34:34,960 --> 00:34:38,279
Speaker 1: And I know I've read like four hundred meters eight

632
00:34:38,320 --> 00:34:42,040
Speaker 1: hundred meter sprint athletes. I've I've seen interviews with their

633
00:34:42,040 --> 00:34:46,120
Speaker 1: coaches and the sprinters and the way they've got their

634
00:34:47,400 --> 00:34:52,919
Speaker 1: conditioning and strategies for those races down. Sounds like that's

635
00:34:52,960 --> 00:34:54,839
Speaker 1: the direction Shannon was going. I don't know if you're

636
00:34:54,880 --> 00:34:59,320
Speaker 1: familiar with that at all. So what's your question, Douglas, Well,

637
00:34:59,480 --> 00:35:03,839
Speaker 1: is that are those related? I'll tell you good talk.

638
00:35:03,880 --> 00:35:06,160
Speaker 1: Thanks for thanks for jumping in there, Douglas. Now with

639
00:35:06,280 --> 00:35:11,080
Speaker 1: it within that realm of sports science, I've I've kind

640
00:35:11,080 --> 00:35:15,919
Speaker 1: of taught um I guess as a professor at Northwestern

641
00:35:16,200 --> 00:35:19,560
Speaker 1: kind of in their program for kind of sports analytics

642
00:35:19,719 --> 00:35:22,560
Speaker 1: and that's where you graduated from, right. I did graduate

643
00:35:22,760 --> 00:35:25,879
Speaker 1: from there for grad school, but um, you know kind

644
00:35:25,880 --> 00:35:28,839
Speaker 1: of some of the associations I've had there professionally as

645
00:35:29,120 --> 00:35:31,920
Speaker 1: well as so kind of that academic side of the world.

646
00:35:32,200 --> 00:35:33,799
Speaker 1: But then I would also say there's kind of an

647
00:35:33,800 --> 00:35:38,800
Speaker 1: applied kind of sports science community out there, if you will,

648
00:35:39,320 --> 00:35:42,359
Speaker 1: And I think this group will kind of meet at

649
00:35:42,400 --> 00:35:45,719
Speaker 1: conferences and conventions pretty regularly and kind of draw inspiration

650
00:35:45,760 --> 00:35:50,360
Speaker 1: from one another. And I think where you'll see a

651
00:35:50,360 --> 00:35:53,080
Speaker 1: lot of the innovation come from kind of like Douglas

652
00:35:53,160 --> 00:35:56,360
Speaker 1: was saying, is you know the kind of the Olympic bodies.

653
00:35:56,840 --> 00:35:59,239
Speaker 1: You know, we'll we'll invest heavily and kind of the

654
00:35:59,239 --> 00:36:03,360
Speaker 1: best method and tools for measuring things and for developing athletes.

655
00:36:03,400 --> 00:36:06,000
Speaker 1: And and then I think, you know, we on the

656
00:36:06,000 --> 00:36:07,719
Speaker 1: team side a lot of times will kind of draw

657
00:36:07,800 --> 00:36:11,319
Speaker 1: inspiration from those guys. It's a lot of times, you know,

658
00:36:11,360 --> 00:36:14,960
Speaker 1: stuff will get handed down from say an Olympic body,

659
00:36:15,239 --> 00:36:18,239
Speaker 1: you know, to a team setting, and a lot of

660
00:36:18,239 --> 00:36:21,960
Speaker 1: times it may not even be you know, our team sport,

661
00:36:22,000 --> 00:36:24,520
Speaker 1: but it might be soccer or rugby, and it will

662
00:36:24,560 --> 00:36:27,200
Speaker 1: get applied there and more research will happen. So there's

663
00:36:27,280 --> 00:36:30,280
Speaker 1: kind of a nice interplay between kind of the academic

664
00:36:30,320 --> 00:36:33,000
Speaker 1: side of the world and kind of applied side. And

665
00:36:33,080 --> 00:36:36,399
Speaker 1: so I would say all the time that we're kind

666
00:36:36,400 --> 00:36:40,040
Speaker 1: of drawing inspiration from one another. Now that the nature

667
00:36:40,160 --> 00:36:42,239
Speaker 1: of those sports are different. You know, we're we're such

668
00:36:42,280 --> 00:36:46,200
Speaker 1: a start and stop sport. You know, we uh, you know,

669
00:36:46,560 --> 00:36:49,359
Speaker 1: go through the line of scrimmage, you know, plays run,

670
00:36:49,640 --> 00:36:53,200
Speaker 1: there's you know, ten seconds of you know, sprinting all

671
00:36:53,200 --> 00:36:56,320
Speaker 1: out you know, frantic activity, and then we go huddle

672
00:36:56,320 --> 00:36:58,680
Speaker 1: again and it stops. You know. So it's a little

673
00:36:58,719 --> 00:37:01,480
Speaker 1: different than say a sport like soccer, where it's kind

674
00:37:01,480 --> 00:37:05,480
Speaker 1: of a you know, continuous flows. For basketball's you know,

675
00:37:05,560 --> 00:37:08,920
Speaker 1: more of that lucky yeah, hockey they're continuously skating up

676
00:37:08,960 --> 00:37:11,480
Speaker 1: and down the down the ice or track, where it's

677
00:37:11,480 --> 00:37:14,160
Speaker 1: more of an all out run. But but we I

678
00:37:14,200 --> 00:37:16,840
Speaker 1: think you can borrow things from all the different sports.

679
00:37:16,880 --> 00:37:18,799
Speaker 1: Do you ever look at like players, like after they

680
00:37:18,800 --> 00:37:21,640
Speaker 1: have injuries and compare some of their stats to see like,

681
00:37:22,239 --> 00:37:24,800
Speaker 1: you know, oh, this guy you know towards a CL

682
00:37:24,920 --> 00:37:27,360
Speaker 1: or mcl and now he's coming back, this is what

683
00:37:27,400 --> 00:37:29,080
Speaker 1: he used to do, this where he is now, Like

684
00:37:29,120 --> 00:37:32,239
Speaker 1: compare historical data before and after an injury. Yeah. I

685
00:37:33,080 --> 00:37:35,200
Speaker 1: don't want to get into specifics about kind of the

686
00:37:35,239 --> 00:37:37,399
Speaker 1: way that we do those things, but I would say

687
00:37:37,400 --> 00:37:40,560
Speaker 1: we definitely do yeah, and we we were kind of,

688
00:37:41,160 --> 00:37:44,480
Speaker 1: I think pioneers in our efforts to kind of start

689
00:37:44,560 --> 00:37:48,400
Speaker 1: to introduce new technology to to kind of player tracking.

690
00:37:48,480 --> 00:37:51,880
Speaker 1: So one of the systems that a lot of teams

691
00:37:51,880 --> 00:37:54,200
Speaker 1: will use as Catapult, and we were one of the

692
00:37:54,280 --> 00:37:57,720
Speaker 1: first kind of North American customers. So we consider ourselves

693
00:37:57,800 --> 00:38:01,120
Speaker 1: lucky that we were because now we have a ton

694
00:38:01,160 --> 00:38:04,040
Speaker 1: of historical data and we can look back, you know.

695
00:38:04,200 --> 00:38:07,000
Speaker 1: But some other teams don't necessarily, Yeah, teams that are

696
00:38:07,000 --> 00:38:09,560
Speaker 1: newer to it, Yeah, they haven't accumulated as much, so

697
00:38:09,600 --> 00:38:13,080
Speaker 1: they don't have data on players throughout their careers or

698
00:38:13,120 --> 00:38:16,600
Speaker 1: over multiple seasons, you know, so they're not I guess

699
00:38:16,600 --> 00:38:18,279
Speaker 1: the more daddy you collect, the more you can do

700
00:38:18,320 --> 00:38:20,560
Speaker 1: with it. And so we've we feel lucky that we

701
00:38:21,000 --> 00:38:23,520
Speaker 1: have so much ahead of the game. It sounds like

702
00:38:23,880 --> 00:38:25,360
Speaker 1: I think I think we were in that regard. I

703
00:38:25,400 --> 00:38:27,200
Speaker 1: would have loved to have seen, like over the years

704
00:38:27,200 --> 00:38:29,759
Speaker 1: with Jason Witten, to see like how some of his

705
00:38:29,840 --> 00:38:32,600
Speaker 1: stats would have changed, like especially because he always kept

706
00:38:32,640 --> 00:38:35,319
Speaker 1: the same intensity. You know, people always talk about like, oh,

707
00:38:35,320 --> 00:38:37,960
Speaker 1: he goes at every practice the same, but just like

708
00:38:38,160 --> 00:38:41,120
Speaker 1: to see how age might have affected that. Yeah, he

709
00:38:41,200 --> 00:38:44,319
Speaker 1: was wearing tear on your body. I won't say specifically

710
00:38:45,239 --> 00:38:47,719
Speaker 1: anything about how his performance numbers because I could get

711
00:38:47,719 --> 00:38:50,000
Speaker 1: myself in tronic, but there's going to be a statute

712
00:38:50,000 --> 00:38:52,480
Speaker 1: of mutations on that at some point. Though. He was

713
00:38:52,520 --> 00:38:56,560
Speaker 1: the model with consistency though. I mean, you know, more

714
00:38:56,600 --> 00:38:58,439
Speaker 1: so than probably any player we've ever had. He would

715
00:38:58,480 --> 00:39:00,880
Speaker 1: show up, you know, to work each a you know,

716
00:39:01,840 --> 00:39:04,759
Speaker 1: never miss a you know, a rep in practice. And

717
00:39:04,840 --> 00:39:06,920
Speaker 1: that was just kind of his his model for for

718
00:39:06,920 --> 00:39:08,919
Speaker 1: as long as I was here, and he he long

719
00:39:08,960 --> 00:39:12,359
Speaker 1: predates me. They said his forty time was didn't really

720
00:39:12,360 --> 00:39:16,200
Speaker 1: diminish much over his career. Quit trying to get tom

721
00:39:16,200 --> 00:39:22,320
Speaker 1: in trouble my mind time did you ever run a

722
00:39:22,440 --> 00:39:25,719
Speaker 1: forty or did you get to ten? He said he

723
00:39:25,719 --> 00:39:27,719
Speaker 1: could beat anybody the first two guards. He was faster.

724
00:39:28,440 --> 00:39:34,040
Speaker 1: I could. It was its documented, bro. But but anyway,

725
00:39:34,120 --> 00:39:37,600
Speaker 1: my friend, Uh, I'm glad you came. Man. Yeah, man,

726
00:39:37,680 --> 00:39:40,319
Speaker 1: this is awesome. Yeah to have you on again. I'm

727
00:39:40,360 --> 00:39:42,640
Speaker 1: sure after we digest this a little bit, we'll be like, Oh,

728
00:39:42,680 --> 00:39:44,120
Speaker 1: we should have asked him do this, We should ask

729
00:39:44,360 --> 00:39:47,239
Speaker 1: one more question. Last question he's got to go is uh,

730
00:39:47,360 --> 00:39:50,640
Speaker 1: the stats say should rarely punt. You believe that? Do

731
00:39:50,640 --> 00:39:53,520
Speaker 1: you think that's the that's true? I'm not. I'm not

732
00:39:53,560 --> 00:39:57,839
Speaker 1: gonna come like a lot of trouble on that way. Yeah.

733
00:39:57,840 --> 00:40:00,680
Speaker 1: You know, it's amazing about that st because the people

734
00:40:00,760 --> 00:40:03,040
Speaker 1: been on that for years that you should rally punt,

735
00:40:03,360 --> 00:40:05,640
Speaker 1: but they never factor in that time that that you

736
00:40:05,680 --> 00:40:08,440
Speaker 1: don't punt and don't make it. Yeah, and then all

737
00:40:08,480 --> 00:40:11,799
Speaker 1: of a sudden you gave the team seven points. They

738
00:40:11,920 --> 00:40:13,960
Speaker 1: never talked about that. But this is most of the

739
00:40:14,160 --> 00:40:16,120
Speaker 1: reason I didn't say anything, because it's most I've asked.

740
00:40:16,200 --> 00:40:19,600
Speaker 1: Kurt could have asked anybody something. Oh I'm fascinated by this.

741
00:40:19,680 --> 00:40:24,600
Speaker 1: So he's a numbers nerds, So you're not fascinated by

742
00:40:25,000 --> 00:40:27,640
Speaker 1: concrete cowboys shows and stuff like that, or me and Nate.

743
00:40:27,680 --> 00:40:29,839
Speaker 1: There's too much craziness going on there. I just let

744
00:40:29,880 --> 00:40:32,080
Speaker 1: a game you have literally talked to Tom Moore on

745
00:40:32,120 --> 00:40:33,759
Speaker 1: this show, that you have talked to me and Nate

746
00:40:33,840 --> 00:40:39,080
Speaker 1: the past year, is to see the best Kurt. Yeah, Yeah,

747
00:40:39,120 --> 00:40:43,120
Speaker 1: this is Kurt's best version of himself today he's been

748
00:40:43,120 --> 00:40:47,000
Speaker 1: listening to Garrett's being the best version of himself. Well, Tom,

749
00:40:47,000 --> 00:40:48,759
Speaker 1: this was awesome. Man. We know you're busy. You got

750
00:40:48,760 --> 00:40:50,360
Speaker 1: to get back to work or appreciate you taking some

751
00:40:50,440 --> 00:40:56,399
Speaker 1: time out and sounds great. Yeah that get just dude

752
00:40:56,440 --> 00:40:59,879
Speaker 1: out myself. We'll take a quick break. Thanks again. Tom

753
00:41:00,080 --> 00:41:02,040
Speaker 1: will be right back on hanging with the boys and

754
00:41:02,040 --> 00:41:06,000
Speaker 1: tailor you love. I mean, if you have a right thing,

755
00:41:06,080 --> 00:41:07,959
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766
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795
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801
00:43:32,960 --> 00:43:36,279
Speaker 1: back to hanging with the boy back and I don't

802
00:43:36,320 --> 00:43:38,759
Speaker 1: have anything to read, so let's just get after Come

803
00:43:38,760 --> 00:43:41,520
Speaker 1: to the Star. Yeah, come out here and hang out.

804
00:43:41,760 --> 00:43:44,960
Speaker 1: Sign him for the camps. Cool spot, Santa, Welcome back

805
00:43:45,000 --> 00:43:47,480
Speaker 1: to you. Thanks guys, what are you doing? Just walking by?

806
00:43:47,520 --> 00:43:49,560
Speaker 1: And so we needed help. I was on Twitter and

807
00:43:49,680 --> 00:43:51,880
Speaker 1: I saw there were only two of you guys, and

808
00:43:52,160 --> 00:43:55,279
Speaker 1: I was like, oh, perfect time. Sorry fars No, I

809
00:43:55,360 --> 00:43:58,200
Speaker 1: was like, Shana never invites me. And when I usually

810
00:43:58,200 --> 00:44:01,760
Speaker 1: tell him that, He's like, just come on, yeah, anytime

811
00:44:01,800 --> 00:44:03,440
Speaker 1: you want to drop in and just drop in. I

812
00:44:03,560 --> 00:44:06,759
Speaker 1: like this. Don't you like it? Nate? No, I don't name.

813
00:44:09,239 --> 00:44:14,040
Speaker 1: I don't let Shannon get your trolled. Just Jay and

814
00:44:14,080 --> 00:44:16,839
Speaker 1: I have the best of times. On Sundays, we are

815
00:44:17,040 --> 00:44:20,000
Speaker 1: dear friends. On Sundays we're different. What do you have

816
00:44:20,360 --> 00:44:22,560
Speaker 1: all the time? What do you have over there? Nate?

817
00:44:22,600 --> 00:44:25,600
Speaker 1: What are you doing Christmas? Looney? I have gone back

818
00:44:25,600 --> 00:44:28,120
Speaker 1: and watched that part of yesterday's show about ten times.

819
00:44:28,120 --> 00:44:31,440
Speaker 1: If you did not catch yesterday, we go watch the

820
00:44:31,560 --> 00:44:34,680
Speaker 1: video for you. Thank You need to develop a sing

821
00:44:34,760 --> 00:44:40,040
Speaker 1: Nate is an ultimate team player. Shannon, don't go through

822
00:44:41,000 --> 00:44:44,200
Speaker 1: Bubba bits to get a deal. You need to work

823
00:44:44,239 --> 00:44:47,680
Speaker 1: out a once a week segment for her. I'll tell

824
00:44:47,680 --> 00:44:51,240
Speaker 1: you what segment. This is the original bring Tay what back?

825
00:44:51,719 --> 00:44:53,560
Speaker 1: But really I'm gonna be pumped that I get to

826
00:44:53,560 --> 00:44:56,720
Speaker 1: be back when moment because tell us all what you do.

827
00:44:56,920 --> 00:44:59,720
Speaker 1: She does a lot, Yeah, tell everybody, but yeah, well

828
00:45:00,040 --> 00:45:02,879
Speaker 1: a lot is credited to this guy. I was gonna say,

829
00:45:02,920 --> 00:45:05,520
Speaker 1: she does everything, Channon gets credit for her Yeah, I

830
00:45:05,640 --> 00:45:08,320
Speaker 1: take all the credit, give her all the work. And

831
00:45:08,360 --> 00:45:10,640
Speaker 1: then I say, when I first started here, it was

832
00:45:10,680 --> 00:45:13,200
Speaker 1: just Shannon and I doing social media. We ran all

833
00:45:13,239 --> 00:45:15,319
Speaker 1: of the accounts, but at that time we didn't have

834
00:45:15,360 --> 00:45:19,279
Speaker 1: the star accounts at and T Stadium, DCC Cowboys. So

835
00:45:19,360 --> 00:45:21,960
Speaker 1: what you mean about social media? You we were posting,

836
00:45:22,040 --> 00:45:24,440
Speaker 1: we were scheduling, we were handling, and what are some

837
00:45:24,480 --> 00:45:28,399
Speaker 1: of the things that you was posting home? Facebook, Twitter, Instagram.

838
00:45:28,880 --> 00:45:32,359
Speaker 1: We started the YouTube YEP back in the day, and

839
00:45:32,400 --> 00:45:36,320
Speaker 1: then it started snapchat right right right. It expanded into

840
00:45:36,360 --> 00:45:40,560
Speaker 1: this mass brand crazy department, and now we have what

841
00:45:40,640 --> 00:45:44,040
Speaker 1: ten people working on our department. Now it's like, hey, Shannon,

842
00:45:44,120 --> 00:45:46,600
Speaker 1: at the end of the meeting and it was just

843
00:45:46,719 --> 00:45:48,719
Speaker 1: him and I and I get back in the good

844
00:45:48,719 --> 00:45:52,839
Speaker 1: old days when life was easy. I'm sorry. I get

845
00:45:52,840 --> 00:45:54,919
Speaker 1: to do a career game in post Game with you, right,

846
00:45:54,960 --> 00:45:57,680
Speaker 1: and then you have something with brand I get to

847
00:45:57,680 --> 00:46:03,520
Speaker 1: do Cowboys Hour with Brad Sham having cover four Cover four. Heye, right,

848
00:46:03,560 --> 00:46:06,920
Speaker 1: there is a pretty awesome show, explained the cover for

849
00:46:07,200 --> 00:46:11,200
Speaker 1: what you What was that entails? Well, that started two

850
00:46:11,280 --> 00:46:13,160
Speaker 1: years ago when we're back, when we were still at

851
00:46:13,239 --> 00:46:16,080
Speaker 1: Valley Ranch and we were deciding about putting shows on

852
00:46:16,160 --> 00:46:19,840
Speaker 1: Connected TV, right, and I think everyone's thought process was, oh,

853
00:46:19,880 --> 00:46:23,160
Speaker 1: you need a flagship show for connected TV, and so

854
00:46:23,239 --> 00:46:25,840
Speaker 1: they thought we need to have a millennial type show

855
00:46:26,040 --> 00:46:28,879
Speaker 1: that catered to more of the younger audience. We knew

856
00:46:28,880 --> 00:46:30,600
Speaker 1: that we were moving over to the start and wanted

857
00:46:30,640 --> 00:46:32,600
Speaker 1: it to be live too, right, wanted it to be live,

858
00:46:32,760 --> 00:46:35,680
Speaker 1: wanted it to have like it was, it's only fifteen minutes.

859
00:46:35,719 --> 00:46:39,560
Speaker 1: It's still's only like fast paced high tan. Yeah, and

860
00:46:39,600 --> 00:46:42,439
Speaker 1: then it became what it is now and we haven't

861
00:46:42,520 --> 00:46:49,399
Speaker 1: blast is Jesse Holley, Yeah, Dave Hellman and Lindsay drapers Em. Yeah.

862
00:46:49,760 --> 00:46:53,320
Speaker 1: I mean what is it all about football? And do

863
00:46:53,440 --> 00:46:56,320
Speaker 1: y'all get out of and talk about other things? You know? Yeah?

864
00:46:56,440 --> 00:46:59,080
Speaker 1: I think I would say it's all about football. Marries

865
00:46:59,120 --> 00:47:01,680
Speaker 1: back to football, and it's not all cowboys all the time.

866
00:47:01,800 --> 00:47:03,760
Speaker 1: It's about what's going on around the league and social

867
00:47:03,760 --> 00:47:06,560
Speaker 1: media and stuff. Turn up Tuesdays a lot of you know,

868
00:47:06,640 --> 00:47:10,239
Speaker 1: touchdown celebration dances. A lot of them have been choreographed

869
00:47:10,280 --> 00:47:12,160
Speaker 1: by Kurt. And I don't know if you guys know

870
00:47:12,360 --> 00:47:15,720
Speaker 1: that he's in he's in the off season. Kurt Daniel

871
00:47:15,800 --> 00:47:19,960
Speaker 1: side Hustle is a touchdown choreographer. So that's a great

872
00:47:20,000 --> 00:47:24,520
Speaker 1: social idea. We should do that. We should touchdown. Gonna

873
00:47:24,560 --> 00:47:27,680
Speaker 1: come away and be to meet mild mannered Kurt and

874
00:47:27,800 --> 00:47:30,839
Speaker 1: didn't get with with a millennial and turn out come

875
00:47:30,840 --> 00:47:33,719
Speaker 1: on man, hair's growing back from fast kids. He knows

876
00:47:33,719 --> 00:47:35,640
Speaker 1: how like yours. He knows how to turn out. He's

877
00:47:35,640 --> 00:47:43,880
Speaker 1: got five kids. Four you are you are like April

878
00:47:43,920 --> 00:47:46,840
Speaker 1: half you're older. But what day you will have that

879
00:47:46,920 --> 00:47:51,160
Speaker 1: fifth key? We're telling we're telling Kurt it would take

880
00:47:51,200 --> 00:47:53,000
Speaker 1: an act of God for day. Yeah, that's what's going

881
00:47:53,040 --> 00:47:54,960
Speaker 1: to happen. Hey, it's happened before. I wish your wife

882
00:47:55,000 --> 00:48:00,560
Speaker 1: named Sarah Lauren. We told Kurt he was gonna cancer.

883
00:48:00,600 --> 00:48:02,720
Speaker 1: You kick cancer's ass and he's gonna have a kid.

884
00:48:03,239 --> 00:48:11,080
Speaker 1: That ain't happening, Kurt, boy. Better Christmas gift than Kurt

885
00:48:11,160 --> 00:48:16,160
Speaker 1: just dominating cancer. Yeah right, yeah, give us you went

886
00:48:16,200 --> 00:48:18,120
Speaker 1: to the doctor this morning, to the doctor. Give us

887
00:48:18,120 --> 00:48:20,719
Speaker 1: an update. Um, when I when this started, I had,

888
00:48:20,880 --> 00:48:23,279
Speaker 1: you know, issues in my neck, chest and abdomen. The

889
00:48:23,320 --> 00:48:25,799
Speaker 1: neck and the chest are gone. I still have some

890
00:48:25,840 --> 00:48:28,840
Speaker 1: of the abdomen, but it's they're changing the treatment to

891
00:48:28,960 --> 00:48:31,319
Speaker 1: kind of morning maintenance thing. So so how long? How

892
00:48:31,320 --> 00:48:34,799
Speaker 1: it's progressing like you should? Yeah? So you'll have treatments

893
00:48:34,800 --> 00:48:37,520
Speaker 1: for a while, prolong. Yeah, it's still another couple of

894
00:48:37,600 --> 00:48:39,440
Speaker 1: years of this, but it won't be as often or

895
00:48:39,480 --> 00:48:43,080
Speaker 1: as like toxic, so you won't. So you you'll have

896
00:48:43,080 --> 00:48:45,160
Speaker 1: a treatment on Friday, and you won't. It won't knock

897
00:48:45,200 --> 00:48:47,680
Speaker 1: you down a week later. I hope not. So it shouldn't.

898
00:48:47,880 --> 00:48:50,520
Speaker 1: It won't be as much what they're giving me won't

899
00:48:50,560 --> 00:48:53,239
Speaker 1: be as toxic. I guess how to put it. But

900
00:48:53,280 --> 00:48:56,600
Speaker 1: when are we going to be able to go drink? Hopefully? Now?

901
00:48:56,600 --> 00:49:00,359
Speaker 1: You kind miller lights, he needs to run. Where's sure

902
00:49:01,520 --> 00:49:03,560
Speaker 1: you weren't about? You weren't gonna be here today, so

903
00:49:03,600 --> 00:49:07,640
Speaker 1: we're saving him for next week. Week? Actually you know

904
00:49:07,680 --> 00:49:15,719
Speaker 1: about I heard, oh, mama, mamas about think of a segment?

905
00:49:16,200 --> 00:49:19,160
Speaker 1: You created it already? Hey what but would be what

906
00:49:19,200 --> 00:49:22,080
Speaker 1: it's gonna be about? You get with him and he'll

907
00:49:22,120 --> 00:49:25,320
Speaker 1: tell us and we'll have a segment like well, it'll

908
00:49:25,360 --> 00:49:27,640
Speaker 1: be more than Satan be like thirty minutes. I'm here

909
00:49:27,640 --> 00:49:29,720
Speaker 1: for it, like once a week we bring a week okay,

910
00:49:30,239 --> 00:49:33,719
Speaker 1: and we want to bring her into what would you

911
00:49:33,840 --> 00:49:39,640
Speaker 1: like you like after the game? Like Wednesday? Looking ahead? Okay,

912
00:49:39,719 --> 00:49:43,239
Speaker 1: so Wednesday or Thursday? About Fridays, Mama grows. You're taking

913
00:49:43,320 --> 00:49:45,839
Speaker 1: up all mama gross tad, and I feel back because

914
00:49:45,920 --> 00:49:48,399
Speaker 1: I love her dearly way better than her son. Like

915
00:49:48,520 --> 00:49:52,279
Speaker 1: she knows. She knows though, like she's like, yeah, man,

916
00:49:52,560 --> 00:49:57,320
Speaker 1: I feel bad for Mama girls some time. Man, why

917
00:49:57,920 --> 00:50:00,319
Speaker 1: I'm gonna be talking right though? You know I'm the

918
00:50:00,360 --> 00:50:03,239
Speaker 1: way I am because of her. She made this, She

919
00:50:03,360 --> 00:50:09,399
Speaker 1: created this physically, mentally, spiritually, and most already on the air.

920
00:50:09,520 --> 00:50:13,120
Speaker 1: She just didn't know it. Love you mom. Hi, Hey Angel,

921
00:50:13,320 --> 00:50:16,520
Speaker 1: y'all you what we have a new member to our show?

922
00:50:16,560 --> 00:50:19,600
Speaker 1: Are you watching? I am you have two new members?

923
00:50:19,680 --> 00:50:25,240
Speaker 1: Hey Taylor, Hi Angel? Say that again? I said, Hey Taylor,

924
00:50:27,520 --> 00:50:32,040
Speaker 1: hy Tyler. Look, my son outed me while ago and

925
00:50:32,120 --> 00:50:34,560
Speaker 1: made the whole world think that I'm a bad mom

926
00:50:34,600 --> 00:50:38,320
Speaker 1: because he's going to eat pizza on Christmas Day to

927
00:50:38,360 --> 00:50:41,480
Speaker 1: tell you that he never gets to come home at

928
00:50:41,560 --> 00:50:45,759
Speaker 1: Christmas and that I have Christmas dinner cooked every year.

929
00:50:45,920 --> 00:50:49,440
Speaker 1: So there we go. How are you a bad mom

930
00:50:49,719 --> 00:50:52,960
Speaker 1: because I'm getting pizza the night before? Oh my god,

931
00:50:53,080 --> 00:50:56,600
Speaker 1: I'm playing video games and eating pizza for Christmas. Everybody

932
00:50:56,600 --> 00:51:00,600
Speaker 1: out there probably with, oh, that's a wonderful Christmas. That's

933
00:51:00,680 --> 00:51:04,160
Speaker 1: my me. Some people that they don't know that that's

934
00:51:04,200 --> 00:51:09,840
Speaker 1: your favorite pastime. They do. Now, hey, Mama Grows, we

935
00:51:09,960 --> 00:51:13,040
Speaker 1: know that you didn't do well, so we we're skipping

936
00:51:13,080 --> 00:51:15,040
Speaker 1: over that. We're just gonna talk about how your week

937
00:51:15,120 --> 00:51:17,600
Speaker 1: went and who your new picks. Don't don't tell us

938
00:51:17,719 --> 00:51:19,799
Speaker 1: what game, don't break down the games, but what was

939
00:51:19,840 --> 00:51:26,000
Speaker 1: your record last week? Five and no? Okay, no, we're

940
00:51:26,040 --> 00:51:29,560
Speaker 1: all about how many did you win last week? None?

941
00:51:29,880 --> 00:51:32,799
Speaker 1: That's oh and five, not five and old. I know

942
00:51:32,840 --> 00:51:36,600
Speaker 1: everything's backwards in Louisiana, but come on, numbers stay the same.

943
00:51:37,680 --> 00:51:41,120
Speaker 1: Tell us, tell us going forward. What's your picks? Okay?

944
00:51:41,160 --> 00:51:46,160
Speaker 1: The Falcons and the Panthers. Okay, now, downtwn Kurt, I

945
00:51:46,160 --> 00:51:49,360
Speaker 1: don't have anything to write with. I've got it Falcons

946
00:51:49,400 --> 00:51:51,800
Speaker 1: and the Panthers. Your Falcons are giving up three and

947
00:51:51,880 --> 00:51:55,320
Speaker 1: a half, and I gotta go with the Falcons. Falcons

948
00:51:55,360 --> 00:51:58,799
Speaker 1: minus three and a half. Okay, yeah, oh wait, wait,

949
00:51:58,800 --> 00:52:02,799
Speaker 1: wait wait, this is just for entertainment purposes only, this

950
00:52:02,880 --> 00:52:05,359
Speaker 1: is not We do not condone gambling on the show.

951
00:52:05,520 --> 00:52:07,640
Speaker 1: Get Tom back here? Do you not need Tom in

952
00:52:07,680 --> 00:52:10,319
Speaker 1: this room? They're in this segment because he might lose

953
00:52:10,320 --> 00:52:14,480
Speaker 1: his job, so they're this is for fun Weston Graduate.

954
00:52:14,719 --> 00:52:17,280
Speaker 1: All right, We're going with the Bears and the forty Niners.

955
00:52:19,280 --> 00:52:21,960
Speaker 1: The Bears are giving up for yes man, the Bears

956
00:52:22,400 --> 00:52:32,759
Speaker 1: Bears minus for Street. They won one ever thought to

957
00:52:32,840 --> 00:52:36,880
Speaker 1: beat the Seahawks. Yes, really, yes, Okay, we got the

958
00:52:36,920 --> 00:52:41,680
Speaker 1: Texas and the Eagles. The Eagles are giving up two

959
00:52:41,680 --> 00:52:44,480
Speaker 1: and a half, and I have got to go with Texas. Yeah,

960
00:52:44,760 --> 00:52:48,480
Speaker 1: Texans plus two and a half. Okay, that's the Steelers

961
00:52:48,560 --> 00:52:51,320
Speaker 1: and the Saints. Saints are giving up five and a half.

962
00:52:51,320 --> 00:52:54,440
Speaker 1: They're at home. I think after last week's shame, shame,

963
00:52:55,000 --> 00:52:57,600
Speaker 1: they're going to come back and beat the Steelers. Of course,

964
00:52:58,440 --> 00:53:01,040
Speaker 1: I'm taking the Saints five and a half. Saints plus

965
00:53:01,120 --> 00:53:03,480
Speaker 1: minus five and a half Saints for minus five and

966
00:53:03,520 --> 00:53:07,319
Speaker 1: a half. Okay, okay, the Cowboys they're giving up seven

967
00:53:07,360 --> 00:53:11,919
Speaker 1: and a half. Yes, but they're at home and they're

968
00:53:11,920 --> 00:53:16,200
Speaker 1: playing the Buccaneers. And they better win this game. Yep,

969
00:53:16,480 --> 00:53:20,800
Speaker 1: I'm going to Showboys seven and a half and what day? Huh?

970
00:53:20,840 --> 00:53:25,000
Speaker 1: Hold on home Cowboys seven and a half. They just

971
00:53:25,040 --> 00:53:27,480
Speaker 1: took his head off. What you think you think? You

972
00:53:27,520 --> 00:53:30,480
Speaker 1: think they're that good at Cowboys? They're playing at home

973
00:53:30,520 --> 00:53:35,719
Speaker 1: and this is a much okay home must win. All right,

974
00:53:35,760 --> 00:53:37,160
Speaker 1: let me ask you something, Mom. We don't have a

975
00:53:37,160 --> 00:53:38,600
Speaker 1: lot of time left, but let me ask you this

976
00:53:38,600 --> 00:53:45,839
Speaker 1: because I took my whole seconds. Mom, backing up quick,

977
00:53:46,760 --> 00:53:48,719
Speaker 1: you get you get to see a lot of the

978
00:53:48,719 --> 00:53:51,640
Speaker 1: Bucks games because they show the NFC South games a

979
00:53:51,640 --> 00:53:55,600
Speaker 1: lot right back home? Right? What do you see in

980
00:53:55,640 --> 00:53:58,120
Speaker 1: the Bucks? What's gonna happen? What do we need to do?

981
00:53:59,400 --> 00:54:03,880
Speaker 1: They're very inconsistent. Uh, they played this quarterback, that quarterback.

982
00:54:03,960 --> 00:54:06,440
Speaker 1: They they are high one week and they're low the

983
00:54:06,520 --> 00:54:09,560
Speaker 1: next week. Um, we just need to play our game

984
00:54:10,239 --> 00:54:13,959
Speaker 1: and punch him in the mouth. Punch him in the mouth,

985
00:54:14,719 --> 00:54:17,239
Speaker 1: or punch him in the MF and mouth. That's it.

986
00:54:17,360 --> 00:54:19,520
Speaker 1: That's where we need to punch him and mouth. I

987
00:54:20,480 --> 00:54:23,480
Speaker 1: say it, Mom, say punch him. No, no, gross, don't

988
00:54:23,520 --> 00:54:27,680
Speaker 1: do that. Let him lead you down their path of destruction. Hey,

989
00:54:27,760 --> 00:54:31,200
Speaker 1: if the Cowboys needed any gift. The Bucks are thirty

990
00:54:31,280 --> 00:54:35,439
Speaker 1: second in red zone defense. Oh and guess what we are.

991
00:54:37,280 --> 00:54:44,000
Speaker 1: We're thirty first. You should have one more red zone. Hey, mom,

992
00:54:44,040 --> 00:54:48,080
Speaker 1: did you watch yesterday show? I did. Did you see

993
00:54:48,120 --> 00:54:51,080
Speaker 1: the joy on Nate's face when he played his Christmas

994
00:54:51,120 --> 00:54:55,280
Speaker 1: music miss with his little tree? I have not seen

995
00:54:55,640 --> 00:54:57,680
Speaker 1: him act like that without a plate of cookies in

996
00:54:57,680 --> 00:55:03,760
Speaker 1: front of him ever, lud Ludy's Christmas tree. These Christmas songs,

997
00:55:03,840 --> 00:55:07,000
Speaker 1: that is so funny. Yes, I thought, well, I ain't

998
00:55:07,040 --> 00:55:12,319
Speaker 1: going to play them. Don't deserve That's all right, it's

999
00:55:12,360 --> 00:55:15,200
Speaker 1: our last show for Christmas. You gotta man bring you

1000
00:55:15,320 --> 00:55:17,960
Speaker 1: next week since we're wearing ugly sweaters all next week. Yeah,

1001
00:55:19,160 --> 00:55:24,320
Speaker 1: sweater Those things are awesome, y'all. Yesterday all y'all look ma'am,

1002
00:55:24,520 --> 00:55:28,160
Speaker 1: So we gotta gotta get you one. I gotta get

1003
00:55:28,200 --> 00:55:30,719
Speaker 1: Douglas one, and we gotta get your mom one. That's

1004
00:55:30,760 --> 00:55:35,840
Speaker 1: three more. Okay. What's your size? Smaller? Medium? What's your side?

1005
00:55:35,880 --> 00:55:42,040
Speaker 1: You're on the air, so l Kurt, what's your size?

1006
00:55:42,400 --> 00:55:45,759
Speaker 1: I mean, Douglas? What's your size? Two XL or three XL.

1007
00:55:45,880 --> 00:55:48,960
Speaker 1: You don't wear no three XL. We wear it with

1008
00:55:49,000 --> 00:55:51,800
Speaker 1: some leggings like a dress, Douglas, my shoulders are big.

1009
00:55:52,320 --> 00:55:55,080
Speaker 1: Something happens is this swimmer the dogs? That means we're

1010
00:55:55,080 --> 00:56:00,400
Speaker 1: gonna Hey, So we promised mother gross from will not

1011
00:56:00,520 --> 00:56:07,000
Speaker 1: take up your your second this week? Okay I would. Okay,

1012
00:56:07,040 --> 00:56:09,040
Speaker 1: look because my feelings are gonna be hurt. I'm not

1013
00:56:09,200 --> 00:56:13,440
Speaker 1: special anymore. Oh yes, you are. You are. You're special

1014
00:56:13,440 --> 00:56:16,160
Speaker 1: because you got to put up with me. That's an angel.

1015
00:56:17,440 --> 00:56:20,560
Speaker 1: I'm so glad for you. Time for you. So are

1016
00:56:20,600 --> 00:56:24,600
Speaker 1: you coming into town for Christmas? No, she's a terrible mom.

1017
00:56:25,880 --> 00:56:28,560
Speaker 1: Hold on, you're not coming into town and you're gonna

1018
00:56:28,560 --> 00:56:31,719
Speaker 1: get on Shannon by eating pizza. Yeah? No, Shannon's going

1019
00:56:31,760 --> 00:56:35,640
Speaker 1: out there. She needs to come home sometimes night, you know.

1020
00:56:35,719 --> 00:56:39,719
Speaker 1: I mean, I'll be home from Artagros. Okay, we have

1021
00:56:39,840 --> 00:56:41,880
Speaker 1: to Hey, I have to work. I have to work

1022
00:56:42,280 --> 00:56:44,600
Speaker 1: at least half of the day on Monday. So for

1023
00:56:44,640 --> 00:56:47,480
Speaker 1: me to drive four and a half hours, spend the night,

1024
00:56:47,800 --> 00:56:49,960
Speaker 1: get up and come right back doesn't make much sense.

1025
00:56:50,000 --> 00:56:52,520
Speaker 1: I'll come when I can stay long her family first, Shannon,

1026
00:56:53,080 --> 00:56:55,799
Speaker 1: shut up, Douglas. You won't even cut your hair. You

1027
00:56:55,840 --> 00:57:00,319
Speaker 1: know what's so funny, man, is Shannon will switching you

1028
00:57:00,360 --> 00:57:02,759
Speaker 1: gotta get off the fins. Sanna, you gotta get off

1029
00:57:02,760 --> 00:57:05,200
Speaker 1: the finsh on what as you had jumped both sides

1030
00:57:05,280 --> 00:57:09,239
Speaker 1: that a minute? On what in and everything? Hey, I

1031
00:57:09,480 --> 00:57:12,080
Speaker 1: never noticed that I was having this discussion last night.

1032
00:57:12,160 --> 00:57:14,680
Speaker 1: What were my two imaginary friend's names, Nikolai and what

1033
00:57:14,800 --> 00:57:19,360
Speaker 1: was the other one? Oh god, I can't remember that too, Yeah, yeah, one,

1034
00:57:19,440 --> 00:57:27,200
Speaker 1: I remember God. One ran away, Thank god the toilet Nikolai.

1035
00:57:27,760 --> 00:57:29,880
Speaker 1: Nikolai was the one that was there forever. But he

1036
00:57:29,960 --> 00:57:34,880
Speaker 1: flushed my contact down the toilet. Not me, is Nikolai.

1037
00:57:36,120 --> 00:57:37,840
Speaker 1: All right, mon, we got a Christmas party. We gotta

1038
00:57:37,880 --> 00:57:42,840
Speaker 1: go to. Y'all do have fun and if ever tell you,

1039
00:57:42,880 --> 00:57:45,080
Speaker 1: but I do, you know what? And I don't know

1040
00:57:45,120 --> 00:57:47,400
Speaker 1: if that love is real because we're not gonna have

1041
00:57:47,440 --> 00:57:53,840
Speaker 1: anything but pizza and beer. Video games? Wow, video games?

1042
00:57:53,840 --> 00:57:58,280
Speaker 1: All right, Mom, love you. I'll call you Christmas. Taylor.

1043
00:57:58,360 --> 00:58:02,240
Speaker 1: Thank you, guys, Thank you kind about Kurt. She no,

1044
00:58:02,400 --> 00:58:05,000
Speaker 1: she was talking about Kurt. Kurt. Thanks for showing up,

1045
00:58:05,040 --> 00:58:08,760
Speaker 1: Thank you, Thank for crashing the party. Let's all hit together.

1046
00:58:08,800 --> 00:58:12,080
Speaker 1: Thanks for bringing for bringing it, Douglas, thank you for

1047
00:58:12,160 --> 00:58:14,880
Speaker 1: what you do. Oh yeah, we're gonna have to roll

1048
00:58:14,880 --> 00:58:19,040
Speaker 1: on the show next week's awesome the row. This guy,

1049
00:58:19,360 --> 00:58:23,240
Speaker 1: it's our time right now, It's our time right now. Yeah,

1050
00:58:23,360 --> 00:58:26,120
Speaker 1: he's ready to roll. Man. Thank you, Douglas Sake, you kid,

1051
00:58:26,280 --> 00:58:31,640
Speaker 1: Thanks everybody, Thanks, thanks, Thanks, Luny Tree. We'll be back Monday,

1052
00:58:31,720 --> 00:58:34,800
Speaker 1: y'all having a one show ten o'clock on Monday. Don't

1053
00:58:34,800 --> 00:58:37,680
Speaker 1: know who's on it yet. We'll be back on Wednesday.

1054
00:58:38,120 --> 00:58:40,760
Speaker 1: Have a great weekend, have a merry Christmas. We love

1055
00:58:40,800 --> 00:58:42,640
Speaker 1: all of you. We'll see you next week on Hanging

1056
00:58:42,680 --> 00:59:03,720
Speaker 1: with the Boys. Right now beside to write this out

1057
00:59:03,760 --> 00:59:12,800
Speaker 1: of mister Ron. This has been a production of Dallas

1058
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Speaker 1: Cowboys dot Com and the Dallas Cowboys Football Club.